Theme TrackerTheme Tracker is a clean, at-a-glance theme rotation dashboard built to help you quickly identify where money is flowing—and where it’s leaving—across the market’s most important macro, sector, and industry themes.
Instead of bouncing between dozens of charts, Theme Tracker tracks a curated basket of 40 major theme ETFs and displays their relative performance across multiple timeframes, so you can instantly spot leadership, momentum shifts, and early rotation.
What it shows
For each theme ETF, the table displays performance over:
1 Day
1 Week
1 Month
3 Months
Year to Date (YTD)
Themes are ranked automatically by the timeframe you choose, allowing you to focus on what matters most in the current market regime—short-term momentum, intermediate rotation, or longer-term trend leadership.
Why it’s useful
Market leaders change. Rotation happens quietly at first, then suddenly.
Theme Tracker helps you:
Find the strongest themes fast (the “winners” attracting capital)
Spot weakening themes early (distribution and risk-off rotation)
Confirm market tone by comparing offensive vs defensive leadership
Generate trade ideas by focusing on the themes that are already being bid up
Avoid laggards by seeing what’s consistently underperforming across timeframes
When a theme is strong across multiple timeframes, that’s often where momentum traders and institutions are concentrating exposure. When it’s weak across timeframes, that’s often where capital is exiting.
How to use it
1) Choose your sort timeframe
Use the Sort setting (1D / 1W / 1M / 3M / YTD) to rank themes based on your trading horizon.
2) Look for alignment
Strong across all columns = sustained leadership
Strong short-term, weak long-term = potential bounce / rotation attempt
Weak short-term, strong long-term = possible pullback in a leader
Weak across the board = consistent capital outflow
3) Pair with your chartwork
Use the strongest themes as a shortlist for deeper chart analysis, setups, and relative strength confirmation.
Visual design
The table uses clear formatting and heat-style shading to make it easy to read quickly. Green tones highlight strength; red tones highlight weakness—so you can interpret rotation in seconds without overthinking.
If you trade momentum, relative strength, or market structure, Theme Tracker gives you one of the simplest edges available: knowing what’s leading right now. Track the best-performing themes, identify emerging rotation, and stay aligned with the areas of the market where capital is actually moving.
อินดิเคเตอร์และกลยุทธ์
Unreached Highs/Lows Oscillator [LuxAlgo]The Unreached Highs/Lows Oscillator highlights the amount of unreached high/low prices as a percentage over time, helping visualize trend strength and momentum from bullish and bearish market participants.
🔶 USAGE
This indicator measures the strength of directional price movements, helping traders visualize the strength of both the bullish and bearish market participants.
When prices are moving up with strength, the price structure will not come back to retest previous lows. Therefore, unreached lows keep adding up.
When prices are moving down with strength, they will not retest previous highs; therefore, unreached highs keep adding up.
As we can see on the chart, high readings of unreached highs (red) and low readings of unreached lows (green) are considered bearish, and a downtrend in price confirms this bias. Conversely, high readings of unreached lows and low readings of unreached highs are considered bullish. On the chart, this is reflected as an uptrend.
Additionally, the oscillator can reveal significant breakouts on the chart, with unreached highs or lows decreasing rapidly indicating that a large number of highs/lows have been reached.
Due to the oscillator being normalized, overbought and oversold levels are included.
In this gold chart, we have different examples of how to use the tool in conjunction with price behavior to understand the market. Let's dissect it step by step:
1. Uptrend: Bullish readings are above 80, and bearish readings are below 20. The market is trending up.
2. Range: Mixed readings around 50 for both bullish and bearish; the market is ranging.
3. Uptrend: The same as before. Bullish above 80 and bearish below 20.
4. Pullback: A bullish dip below 80 to 50 and a bearish reading below 20 indicates a pullback.
5. Range: Mixed readings. In this case, it is bullish above and below 80 and bearish above and below 20. The market is ranging.
6. Uptrend: Bullish above 80 and bearish below 20; the market keeps moving up.
7. Pullback: Bullish dips below 80 and bearish rises to 50 indicate a pullback.
8. Uptrend: As before, bullish is above 80 and bearish is below 20; the market is trending up.
This Bitcoin chart shows how to use extreme readings of 0 and 100 to detect potential reversals. When both readings are at extreme opposites, we set the threshold level at 100 and 0 instead of the default levels of 80 and 20 to better identify these areas.
As we can see, extreme readings at points 1 and 5 identify major reversals that lead to a change in trend. Extreme readings at points 2, 3, 4, and 6 identify minor reversals that do not lead to a change in trend.
From the settings panel, traders can adjust the length parameter. A smaller value measures smaller price movements, while a larger value measures larger price movements. A length value of 20 is used by default.
The chart shows how different values affect bullish and bearish measures.
🔶 SETTINGS
Length: Select the maximum number of highs and lows to be used.
🔹 Style
Bullish: Select a color for unreached lows.
Bearish: Select a color for unreached highs.
Top Threshold: Select the top threshold level and color. Enable the Auto feature to choose the default color.
Bottom Threshold: Select the bottom threshold level and color. Enable the Auto feature to choose the default color.
Smart Signal Assistant (Kewme)Smart Signal Assistant (Kewme) – Professional Trading Suite
Overview The Smart Signal Assistant (Kewme) is a comprehensive, all-in-one trading toolkit designed to bring institutional-grade discipline and visual clarity to your trading. Unlike clutter-heavy indicators, this system focuses on precision and risk management. It combines a powerful trend-following engine with an automated trade manager that visualizes your risk and reward in real-time.
Key Features
1. 🛡️ Disciplined Trade Management (One Trade at a Time) Stop over-trading with the built-in "Focus Mode."
No Signal Spam: The system will never generate a new signal while a trade is currently running.
Active Management: A new signal is only generated after the current trade has either hit the Take Profit (TP) or the Stop Loss (SL). This enforces strict trading discipline.
2. 📦 Dynamic Risk/Reward Boxes Visualizing your trade has never been easier.
Instant Zones: Upon a signal, the script automatically draws a Green Profit Zone and a Red Loss Zone directly on the chart.
ATR-Based Precision: Stop Loss levels are calculated dynamically using Average True Range (ATR), ensuring your stops breathe with market volatility.
Auto-Cutoff: The boxes automatically stop drawing the moment price hits your TP or SL, keeping your chart clean and historical performance visible.
3. 🎯 Clear Exit Labels No more guessing. The script clearly marks the exact candle where your trade closed:
TP Hit 🎯: Appears when your target is reached.
SL Hit ❌: Appears if the market goes against you.
4. 🚀 Smart Trend Engine & Filters
Hybrid Modes: Choose between "Swing" (for reliable, long-term trends) or "Scalping" (for quick, short-term moves).
Trend-Range Classifier (TRC): An intelligent filter system that monitors ADX and market volatility. It automatically blocks signals during choppy, sideways markets to protect your capital.
5. 📊 Live Status Dashboard A sleek, on-chart dashboard provides real-time data at a glance:
Trade Status: Shows if a trade is "RUNNING" or "SEARCHING."
Market Bias: Bullish or Bearish.
Trend Strength: Indicates if the market is Strong or Sideways.
How to Use
Select Mode: Choose 'Swing' for higher timeframes or 'Scalping' for lower timeframes in settings.
Adjust Risk: Set your preferred Risk/Reward Ratio (e.g., 1:2) and SL Multiplier.
Follow the Boxes: Enter when the box appears, and exit exactly when the "TP Hit" or "SL Hit" label pops up.
Disclaimer: This tool is for educational and assistance purposes only. Always use proper risk management.
Smart Money Flow Signals [QuantAlgo]🟢 Overview
The Smart Money Flow Signals indicator synthesizes significant volume-price dynamics through multi-component analysis to identify potential accumulation and distribution phases driven by substantial market participants. It combines Money Flow Index momentum, Chaikin Money Flow accumulation patterns, volume-weighted price momentum, and buying/selling pressure metrics into a unified composite oscillator that quantifies periods of concentrated capital movement, helping traders and investors identify conditions where significant volume participants may be actively positioning across multiple market conditions and timeframes.
🟢 How It Works
The indicator's core methodology lies in its weighted composite approach, where multiple volume-price components are calculated sequentially and then integrated to create a comprehensive significant flow activity signal.
First, the Money Flow Index (MFI) is calculated to measure buying and selling pressure by incorporating volume into price momentum analysis:
raw_money_flow = source * volume
positive_flow = source >= source ? raw_money_flow : 0
negative_flow = source < source ? raw_money_flow : 0
positive_money_flow = math.sum(positive_flow, mfi_period)
negative_money_flow = math.sum(negative_flow, mfi_period)
money_flow_index = 100 - 100 / (1 + positive_money_flow / negative_money_flow)
This creates an RSI-style momentum indicator that tracks whether money (price × volume) is flowing into or out of the asset, with values ranging from 0 to 100 where readings above 50 suggest buying pressure dominance.
Then, Chaikin Money Flow (CMF) is computed to evaluate accumulation and distribution by analyzing where prices close within each bar's range, weighted by volume:
money_flow_multiplier = high != low ? (close - low - (high - close)) / (high - low) : 0
money_flow_volume = money_flow_multiplier * volume
volume_sma = ta.sma(volume, trend_period)
chaikin_money_flow = volume_sma != 0 ? ta.sma(money_flow_volume, trend_period) / volume_sma : 0
Positive CMF values indicate accumulation (closes near the high of the range), while negative values indicate distribution (closes near the low of the range), with volume weighting emphasizing periods of significant participation.
Next, Volume Analysis is performed to quantify current volume intensity relative to historical averages:
volume_average = ta.sma(volume, trend_period)
volume_strength = volume_average != 0 ? volume / volume_average : 1
volume_weight = math.log(volume_strength + 1)
The logarithmic transformation creates a volume weight that amplifies signals during high-volume periods while preventing extreme volume spikes from overwhelming the composite calculation.
Following this, Buy/Sell Pressure is quantified by comparing cumulative volume during bullish versus bearish candles:
buying_pressure = math.sum(volume * (close >= open ? 1 : 0), trend_period)
selling_pressure = math.sum(volume * (close < open ? 1 : 0), trend_period)
pressure_ratio = (buying_pressure - selling_pressure) / (buying_pressure + selling_pressure) * 100
This creates a directional pressure ratio that reveals whether significant participants are predominantly buying or selling, expressed as a percentage between -100 (all selling) and +100 (all buying).
Then, Volume-Weighted Momentum is calculated through an exponential smoothing channel that adjusts price deviation based on volume intensity:
exponential_smooth_average = ta.ema(source, momentum_channel_period)
deviation = ta.ema(math.abs(source - exponential_smooth_average), momentum_channel_period)
channel_index = deviation != 0 ? (source - exponential_smooth_average) / (0.015 * deviation) * (1 + volume_weight * 0.5) : 0
This channel index measures how far price has deviated from its exponential average relative to typical deviation, with the volume weight multiplier (1 + volume_weight * 0.5) amplifying the signal when significant volume accompanies the price movement.
Finally, the Composite Wave is constructed by combining all components with specific weighting to create the final oscillator:
momentum_wave = ta.ema(channel_index, trend_period)
money_flow_wave = (money_flow_index - 50) * 1.2
chaikin_flow_wave = chaikin_money_flow * 100
composite_wave = momentum_wave * 0.5 + chaikin_flow_wave * 0.3 + money_flow_wave * 0.2
smoothed_wave = ta.sma(composite_wave, signal_smoothing)
This creates a multi-dimensional volume flow oscillator that combines price-volume momentum, accumulation-distribution patterns, and buying-selling pressure into a single signal, providing traders with probabilistic insights into periods of concentrated market activity and directional bias based on weighted component convergence.
🟢 Signal Interpretation
▶ Positive Values (Above Zero, Green): Composite money flow above equilibrium indicating net accumulation pressure, positive buying volume dominance, and bullish volume-price alignment = Favorable conditions for long positions, significant capital flowing into the asset = Buy/hold opportunities
▶ Negative Values (Below Zero, Red): Composite money flow below equilibrium indicating net distribution pressure, negative selling volume dominance, and bearish volume-price alignment = Unfavorable conditions for long positions, significant capital flowing out of the asset = Sell/short opportunities
▶ Extreme Overbought Zone: Excessive bullish money flow indicating potential accumulation exhaustion, where buying pressure may have reached unsustainable levels with elevated reversal risk = Caution on new longs, potential distribution phase beginning, profit-taking zone for existing positions
▶ Extreme Oversold Zone: Excessive bearish money flow indicating potential distribution exhaustion, where selling pressure may have reached unsustainable levels with elevated reversal risk = Caution on new shorts, potential accumulation phase beginning, buying opportunity zone for contrarian entries
▶ Smoothed Trend Line (White) Alignment: When the smoothed trend line confirms the composite wave direction, it validates the underlying volume-price trend and filters false signals caused by short-term noise
▶ Volume Intensity Correlation: Gradient intensity (color saturation) reflects combined wave strength, volume participation, and directional alignment, where darker/more saturated colors indicate stronger concentrated activity and higher-probability directional moves
🟢 Features
▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches.
1. "Default" provides balanced volume flow measurement suitable for swing trading on 4-hour and daily charts, offering moderate responsiveness to money flow shifts with standard RSI-equivalent MFI period and moderate smoothing for most market conditions.
2. "Fast Response" delivers heightened sensitivity optimized for active intraday trading and scalping on 1-minute to 1-hour charts, using compressed calculation periods across all components and minimal smoothing to capture rapid volume flow changes and quick trend shifts as they develop, ideal for early entry/exit opportunities with acceptance of increased signal frequency during consolidation.
3. "Smooth Trend" offers conservative extreme identification ideal for position trading and long-term analysis on daily to weekly charts, employing extended periods across all money flow components with substantial smoothing to filter short-term noise and isolate only strong, sustained accumulation and distribution phases driven by significant volume participants.
▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of significant money flow transitions and extreme market states.
1. "Bullish Flow" triggers when the composite wave crosses above zero, signaling the shift from distribution to accumulation and concentrated buying activity beginning.
2. "Bearish Flow" activates when the composite wave crosses below zero, signaling the shift from accumulation to distribution and concentrated selling activity starting.
3. "Any Flow Direction Change" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general money flow momentum shifts.
4. "Extreme Overbought" alerts when the composite wave reaches or exceeds the overbought threshold (default +60), indicating excessive buying pressure and potential exhaustion.
5. "Extreme Oversold" notifies when the composite wave reaches or falls below the oversold threshold (default -60), indicating excessive selling pressure and potential capitulation.
6. "Overbought Reversal" triggers specifically when the wave crosses back down through the overbought level after being extended, signaling the beginning of distribution from extreme levels.
7. "Oversold Reversal" activates when the wave crosses back up through the oversold level after being extended, signaling the beginning of accumulation from extreme levels.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of bullish versus bearish volume flow conditions across various devices and screen sizes. Optional bar coloring provides instant visual context of current significant volume activity intensity and direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess volume-price positioning dynamics while analyzing price action.
Delta Microstructure AnalysisDelta Microstructure Analysis
Market microstructure analysis using footprint data for divergence, exhaustion, absorption, and trapped trader detection
Overview
Delta Microstructure Analysis is an order flow indicator that uses TradingView's footprint data to identify market conditions including divergences, exhaustion patterns, absorption zones, and trapped trader scenarios. The indicator calculates delta at each bar and tracks cumulative delta to identify potential reversals and continuations.
Key Features
Footprint Data Integration: Uses TradingView's built-in footprint data for accurate buy/sell volume delta calculation. Falls back to synthetic delta calculation when footprint data is unavailable.
Adaptive Tick Calculation: Automatically adjusts footprint tick size based on asset type and timeframe. Baseline values: crypto (200), forex (10), stocks (5), indices/futures (1), with timeframe scaling.
Cumulative Volume Delta (CVD): Tracks cumulative delta with reset options (None, Daily, Fixed Bars) to identify overall buying/selling pressure trends.
Divergence Detection: Identifies bullish and bearish divergences between price action and cumulative delta using configurable pivot strength (3-20 bars).
Exhaustion Pattern Recognition: Detects buying and selling exhaustion when delta exceeds configurable multiplier (2.0-10.0x) of average delta over lookback period (10-100 bars).
Absorption Zone Analysis: Identifies areas where aggressive orders are absorbed by resting liquidity, indicating potential support/resistance zones.
Trapped Trader Detection: Recognizes scenarios with strong initial momentum followed by sharp reversals, suggesting trapped positions.
Visual Labeling System: Displays signals as monospace labels (DIV↑/DIV↓, EXH↑/EXH↓, ABS↑/ABS↓, TRAP↑/TRAP↓) above/below candles.
Info Table Display: Shows current CVD, delta, average delta, data source, and active signals in a monospace-formatted table.
Alert System: Individual alerts for each signal type (divergences, exhaustion, absorption, trapped traders).
How It Works
Footprint Data Request: The indicator requests footprint data using adaptive tick sizing. If unavailable, uses synthetic delta calculation based on candle characteristics.
Delta Calculation: For footprint data, uses fp.delta() function. For synthetic delta, considers body size, wick analysis, and volume characteristics.
Cumulative Delta Tracking: Maintains running cumulative delta that resets based on selected mode (daily session changes or fixed bar intervals).
Pivot Detection: Uses configurable pivot strength to identify significant highs and lows in both price and cumulative delta.
Divergence Analysis: Compares price pivots with cumulative delta pivots. Bullish divergence: lower price lows with higher delta lows. Bearish divergence: higher price highs with lower delta highs.
Exhaustion Detection: Calculates average absolute delta over lookback period and identifies when current delta exceeds multiplier threshold.
Absorption Identification: Analyzes footprint patterns to detect when aggressive orders are met with sufficient resting liquidity.
Trapped Trader Recognition: Identifies strong momentum followed by sharp reversals using proprietary pattern recognition.
Signal Display: Shows signals as labels on chart and summarizes in info table with current market conditions.
Use Cases
Divergence Trading: Use divergence signals to identify potential trend reversals before they appear in price action.
Exhaustion Monitoring: Identify when buying or selling pressure may be exhausted, suggesting potential reversals.
Support/Resistance Levels: Use absorption zones to identify key price levels where institutional activity occurs.
Risk Management: Use trapped trader signals to anticipate sharp reversals and adjust position sizing.
Market Structure Analysis: Understand underlying order flow dynamics driving price movements.
Confirmation Tool: Combine with other technical indicators to confirm signals and improve trade probability.
Settings
Footprint Settings:
Use Footprint Data: Toggle between footprint and synthetic delta
Tick Size Mode: Auto (adaptive) or Manual tick sizing
Tick Density Multiplier: Adjusts price bucket size in footprint data
Manual Footprint Ticks: Custom tick size for Manual mode
CVD Settings:
CVD Reset Mode: None, Daily, or Fixed Bars
Reset Every N Bars: Number of bars between resets (10-1000)
Divergence Settings:
Pivot Strength: Bars required for pivot detection (3-20)
Show Divergence Lines: Toggle line display
Bullish/Bearish Divergence Color: Custom colors
Divergence Line Width: Line thickness (1-5)
Exhaustion Settings:
Delta Multiplier: Threshold multiplier (2.0-10.0)
Lookback for Avg Delta: Period for average calculation (10-100)
Show Exhaustion Markers: Toggle signal display
Display Options:
Show Info Table: Toggle table display
Table Position: Choose table location on chart
Table Styling:
Background, text, and border colors
Header styling options
Label Styling:
Label text color
Alert Settings:
Individual toggles for each signal type
Technical Notes
The indicator uses TradingView's footprint functions (request.footprint(), fp.delta()) for order flow analysis.
Adaptive tick calculation converts all timeframes to minutes for consistent scaling across chart intervals.
Synthetic delta calculation uses body size (70% weight), wick analysis, and body-to-range ratio for fallback when footprint data unavailable.
The indicator uses barstate.isconfirmed for calculations to prevent repainting.
All text displays use monospace font for consistent readability.
Table displays current CVD, delta, average delta, data source, and active signals in real-time.
Best Practices
Use on symbols where footprint data is available for most accurate analysis.
Combine divergence signals with price action for higher probability setups.
Monitor exhaustion signals in context of overall trend direction.
Pay attention to absorption zones at key technical levels.
Use trapped trader signals as early warning for potential reversals.
Adjust pivot strength based on trading timeframe (lower for shorter timeframes).
Consider data source indicator - synthetic delta may be less reliable than footprint data.
Set up alerts for preferred signal types when monitoring multiple symbols.
This indicator analyzes market microstructure using footprint data to identify divergences, exhaustion, absorption, and trapped trader patterns.
Smart Fear & Greed Index [MarkitTick]💡 This comprehensive technical tool is designed to quantify market sentiment on an asset-specific basis, translating complex price action into a singular, normalized gauge of "Fear" and "Greed." While traditional Fear & Greed indices rely on macro-economic data (like put/call ratios or junk bond demand) generally applied to the broad S&P 500, this script calculates a localized index for the specific chart you are viewing. It synthesizes Momentum, Volatility, Volume, and Price Positioning into a bounded 0-100 oscillator, aiming to identify psychological extremes where market reversals are statistically more likely to occur.
✨ Originality and Utility
● Asset-Specific Sentiment Analysis
Most sentiment tools are external to the chart (e.g., news sentiment or broad market indices). The Smart Fear & Greed Index is unique because it internalizes this logic, creating a bespoke psychological profile for any ticker—whether it is Crypto, Forex, or Stocks. It allows traders to see if *this specific asset* is overheated (Greed) or oversold (Fear) relative to its own recent history.
● The "Buy the Fear, Sell the Greed" Logic
The script employs a contrarian color-coding philosophy aligned with the famous investment adage: "Be fearful when others are greedy, and greedy when others are fearful."
When the indicator shows Fear (Low values), it colors the zone Green, signaling a potential buying opportunity (discount).
When the indicator shows Greed (High values), it colors the zone Red, signaling potential downside risk (premium).
● Integrated Divergence Detection
Unlike standard oscillators that leave interpretation entirely to the user, this tool includes an automated divergence engine. It detects discrepancies between the sentiment index and price action, plotting lines and labels to highlight potential exhaustion points before they become obvious on the price chart.
🔬 Methodology and Concepts
The calculation is driven by a custom User-Defined Type (UDT) called QuantEngine , which aggregates four distinct technical "pillars" to form the final Composite Index.
• Pillar 1: Momentum (RSI)
The engine utilizes the Relative Strength Index to measure the velocity and magnitude of directional price movements. High momentum contributes to the "Greed" score, while collapsing momentum contributes to "Fear."
• Pillar 2: Volatility (Inverted Normalized ATR)
This component interprets volatility through a psychological lens.
Low Volatility is interpreted as complacency or "Greed" (steady uptrends often have low vol).
High Volatility is interpreted as "Fear" (panic selling and erratic ranges often spike volatility).
The script normalizes the Average True Range (ATR) and inverts it so that stability adds to the score, and instability subtracts from it.
• Pillar 3: Volume Strength
Volume is analyzed relative to its moving average. However, raw volume isn't enough; the engine applies directional logic.
High relative volume on an Up-Close adds to the Greed score.
High relative volume on a Down-Close subtracts, adding to the Fear score.
• Pillar 4: Price Position (Stochastic)
This calculates where the current close sits relative to the recent High-Low range. Closing near the highs indicates confidence (Greed), while closing near the lows indicates pessimism (Fear).
• The Composite & Smoothing
These four metrics are averaged to create a raw composite, which is then smoothed via an Exponential Moving Average (EMA) to filter out noise and produce the final, readable "Smart Fear & Greed" line.
🎨 Visual Guide
● The Oscillator Line
This is the primary fluctuating line that moves between 0 and 100.
Values > 50 suggest positive sentiment.
Values < 50 suggest negative sentiment.
● Color-Coded Zones
The plot changes color dynamically to reflect the psychological state:
Red (70-100): Extreme Greed. The market may be irrationally exuberant.
Orange (60-70): Greed. Strong bullish conviction.
Yellow (40-60): Neutral. Indecisive or transitionary market.
Light Green (30-40): Fear. Sentiment is turning bearish.
Bright Green (0-30): Extreme Fear. Panic selling, often a precursor to a value bounce.
● Background Highlights
A semi-transparent Red Background appears when the index breaches 75, warning of a potential "Top."
A semi-transparent Green Background appears when the index drops below 25, highlighting a potential "Bottom."
● Divergence Elements
Red Lines/Labels ("Bear"): Bearish Divergence. Price makes a Higher High, but the Index makes a Lower High. This suggests momentum is waning despite rising prices.
Green Lines/Labels ("Bull"): Bullish Divergence. Price makes a Lower Low, but the Index makes a Higher Low. This suggests selling pressure is drying up.
📖 How to Use
• Identifying Reversals
Wait for the oscillator to enter "Extreme" zones. Do not trade immediately upon entry; wait for the line to exit the extreme zone to confirm the reversal. For example, if the line hits 80 (Red) and then crosses back down below 70, it signals that Greed is fading.
• Trend Continuation
In a strong trend, the indicator may hover in the Greed (Orange) or Fear (Light Green) zones for extended periods. In these cases, use the Neutral (Yellow) zone crosses as re-entry signals in the direction of the trend.
• Divergence Confirmation
Use the automated divergence lines as high-conviction triggers. If the background turns Green (Extreme Fear) AND a Bullish Divergence label appears, it provides a stronger technical case for a long position than the zone alone.
⚙️ Inputs and Settings
● Calculation Settings
Global Lookback Period (Default: 21): The core lookback window for RSI, ATR, Volume, and Stochastic calculations. Increasing this makes the index slower and less reactive; decreasing it makes it faster.
Smoothing Length (Default: 5): Determines how smooth the final line is. Higher numbers reduce "whipsaws" but add lag.
Color Main Chart Candles : Colors the chart bars based on Fear/Greed sentiment.
● Divergence Settings
Divergence Lookback (Default: 5): Determines the pivot strength required to register a high or low for divergence checks.
Show Divergence Lines/Labels: Toggles to hide visual clutter if you only want to see the oscillator.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Normalization Theory
The core scientific principle here is Min-Max Normalization. The script takes heterogeneous data types—Price (Dollars/Cents), Volume (Shares/Contracts), and Volatility (Points)—and standardizes them into a unit-less distribution between 0 and 100. This allows for the summation of disparate market forces into a single vector.
● Mean Reversion and Oscillator Bounds
The indicator relies on the statistical concept of Mean Reversion. Markets, like elastic bands, can only stretch so far from their average valuation (represented by the 50 line) before snapping back. The "Extreme" zones (Upper and Lower deciles) represent areas of statistical improbability where the likelihood of a continuation decreases and the likelihood of a reversion increases.
● Divergence and Momentum Theory
The divergence logic is grounded in the principle that momentum precedes price. Mathematically, price is the integral of velocity. When the derivative (momentum/sentiment) approaches zero or reverses while the function (price) continues, it signals a non-sustainable anomaly in the data series, often resolved by a price correction.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Magnitude of Price DiscoveryThis script is a simple attempt to show the magnitude of price discovery
Before we discuss how it works we need to discuss our terms.
Universal Truth of Price #1 - Price only trades in 3 distinct ways
Scenario 1 - Inside bar to previous range, consolidation.
Scenario 2 - Trending bar up or down, HH + HL to previous bar or LL + LH to previous bar
Scenario 3 - Outside bar, Higher highs AND lower lows to previous bar. Also known as a broadening formation.
If you are interested in the 2nd universal truth my indicator 'Timeframe Continuity Bars' discusses it there.
Given one of the 3 scenarios price can trade in is a broadening formation it proves that price discovery occurs as a series of new highs and new lows.
Notice the scenario 3 marked by SimpleStratNumbers
This scenario 3 is a broadening formation on the 1min and on the 30min basis.
Given this is true we know if price rejects the broadening highs it is attempting to make new lows to the broadening range
So, what this indicator does is it uses previous swing highs and swing lows and it shows you when price reclaims them and gives you a target.
The target of this indicator is guaranteed to be hit if the 2nd universal truth of price is in your favor.
This means if we reclaim a previous high to the downside. At the time of all known participation groups selling we know the magnitude of this selling would be the other side of the range
So it's simple, the solid line shows you the reclaimed level.
The dotted line shows you the magnitude.
Full timeframe continuity tells you when it is FOR SURE going to your target price via MTF analysis of the aggressiveness of the buyers/sellers.
However timeframe continuity is subject to change every 60min, every day, every week, and every month! That's the risk you take when trading.
Here's one example for you.
NASDAQ:AAPL monthly made a new low and changed to green this was your evidence price is attempting to take the other side of the range.
NASDAQ:AAPL monthly opened green again and re-confirmed the upside which meant the other side
of the range was still for certain going to be taken out.
After being taken out, breakout traders buy the highs and any shorts in aapl are forced to cover.
BOOM!
This indicator is likely to be updated in the near future to align entries on multiple timeframes.
Nothing spoken here is financial advice and it is ONLY what we know to be true about price action.
RSI Sigmoid (Saturation)# 📊 RSI Sigmoid (Saturation) Indicator
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## 🎯 What Does This Indicator Do?
This indicator transforms the traditional **RSI (Relative Strength Index)** using a **sigmoid function**, creating a mathematically "saturated" version that provides smoother, more controlled momentum signals.
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## ✨ Key Features
### 🌊 **Saturation Effect**
Unlike standard RSI which oscillates wildly between 0-100, this version uses a **hyperbolic tangent function** to compress extreme values:
- 🔴 **Extreme readings** (very high/low) are dampened → pushed toward saturation zones (10 & 90)
- 🟡 **Middle range** (30-70) remains responsive and dynamic
- 🟢 **Sharp spikes** are smoothed while maintaining trend direction
### 👁️ **Dual Visualization**
- **🔵 Blue Line**: RSI Sigmoid (Saturated) - Your primary signal
- **🟠 Orange Circles**: Traditional RSI - For comparison
- **🟣 Purple Area**: Difference plot showing transformation intensity
### 🎯 **Smart Signals**
- **▲ Green Triangle**: Buy Signal when RSI Sigmoid crosses **above 50**
- **▼ Red Triangle**: Sell Signal when RSI Sigmoid crosses **below 50**
- **🎨 Background Colors**: Highlight oversold, overbought, and saturation zones
---
## ⚙️ How to Use
### 📐 **RSI Period** (Default: 50)
```
Higher Values (70-100) → Smoother, slower, fewer signals
Lower Values (14-30) → More responsive, more signals, noisier
```
### 🎚️ **Sigmoid Coefficient** (Default: 0.5)
```
Low (0.1-0.2) → Gentle saturation, closer to standard RSI
Medium (0.25) → Balanced transformation
High (0.3-0.5) → Aggressive saturation, strong dampening
```
### 📍 **Oversold/Overbought Levels**
Customize based on your:
- Trading timeframe (1m, 5m, 1h, 1D, etc.)
- Asset volatility
- Trading style (scalping, swing, position)
---
## 🔍 What to Watch For
| Signal | Meaning | Action |
|--------|---------|--------|
| 🟢 **Cross Above 50** | Bullish momentum shift | Consider long positions |
| 🔴 **Cross Below 50** | Bearish momentum shift | Consider short positions |
| ⚡ **Saturation < 10** | Extreme oversold | Potential reversal up |
| 🔥 **Saturation > 90** | Extreme overbought | Potential reversal down |
| 🟣 **Large Difference** | High transformation intensity | Strong momentum dampening |
---
## 💡 Trading Tips
✅ **DO:**
- Use multiple timeframes for confirmation
- Combine with support/resistance levels
- Apply proper risk management (stop-loss, position sizing)
- Backtest settings on your specific asset
- Watch for divergences between price and indicator
❌ **DON'T:**
- Rely solely on this indicator
- Ignore market context and fundamentals
- Over-leverage based on signals
- Use default settings without testing
- Trade without a clear strategy
---
## ⚠️ IMPORTANT DISCLAIMERS
### 🚨 **NOT Financial Advice**
This indicator is provided for **educational and informational purposes only**. It does not constitute financial, investment, or trading advice.
### 🛡️ **Risk Warning**
- ❌ **No guarantee of profits** - Past performance ≠ future results
- ❌ **Do not rely on this alone** - Always use multiple analysis methods
- ❌ **Markets are unpredictable** - No indicator can predict with certainty
- ❌ **You can lose money** - Never risk more than you can afford to lose
### 🎛️ **Customization Required**
All settings are **user-configurable** for a reason:
- Default values may NOT suit your strategy
- Different assets require different parameters
- Always backtest before live trading
- Adjust based on your timeframe and risk tolerance
### 📜 **Your Responsibility**
- ✓ You are responsible for your own trading decisions
- ✓ Always do your own research (DYOR)
- ✓ Understand the risks before trading
- ✓ Consider consulting a licensed financial advisor
---
## 📋 Quick Settings Guide
| Trading Style | RSI Period | Sigmoid K | Notes |
|---------------|------------|-----------|-------|
| **Scalping** | 14-21 | 0.3-0.4 | Fast signals, higher noise |
| **Day Trading** | 30-50 | 0.4-0.5 | Balanced responsiveness |
| **Swing Trading** | 50-70 | 0.5 | Smoother, fewer false signals |
| **Position Trading** | 70-100 | 0.5 | Very smooth, major trends only |
---
## 🏷️ License & Liability
**Use at your own risk.** The creator assumes **no liability** for any trading losses, damages, or consequences resulting from the use of this indicator.
---
### 🤝 Happy Trading & Stay Safe! 📈
*Remember: The best indicator is your own knowledge and discipline.*
Dynamic MTF Reversal Sequential [Realtime]SMA Reversal Sequential MTF Engine
Professional Pivot Identification & Squeeze Analysis
1. Overview
The SMA Reversal Sequential MTF Engine is a sophisticated environment recognition tool that monitors 8 timeframes (1m to Monthly) to identify objective Pivot Highs and Lows.
Unlike standard indicators that rely on simple price-crosses, this engine determines structural market turns based on the curvature (slope) of the SMA. By automating the detection of price consolidation (Squeeze) and synchronizing it with higher timeframe trends, it provides a systematic approach to capturing high-probability breakout opportunities.
2. Input Settings & Operations
Each parameter is designed to help you filter noise and focus on the market structure that suits your trading style.
■ Main Settings
Use Short Period:
ON: Uses (5, 3, 7) periods. Ideal for scalping. It identifies micro-pivots and sensitive trend shifts.
OFF: Uses (20, 6, 20) periods. Designed for Day/Swing trading. It filters out noise and focuses on major structural highs and lows.
Hide Lower Timeframes:
Automatically hides labels from timeframes shorter than your current chart (e.g., hiding 1m labels while on a 1H chart) to maintain a clean workspace.
Break Label Right Offset:
Adjusts the horizontal position of the "Breakout" price labels on the right side of the chart.
■ Drawing Options
Show Only Current TF Labels:
When enabled, it hides "15", "1H" labels from other timeframes on the chart. Note: The MTF Dashboard will still track all timeframes regardless of this setting.
Show Trendlines & Channels:
Plots lines connecting determined Pivot Highs and Lows, visualizing the current "Trading Range" or "Channel."
Show ZigZag Line:
Connects the confirmed Highs and Lows with straight lines, making "Market Structure" (Higher Highs / Lower Lows) instantly recognizable.
Hide Outer Channel on Squeeze:
During a Squeeze (consolidation), this hides older wide channels to highlight the immediate converging boundaries.
3. Core Logic: Determining Highs & Lows
This engine determines "Pivots" through a logical three-step process:
SMA Reversal Detection: The engine calculates when the SMA slope changes from down to up (or vice versa) using a sequential offset comparison.
Pivot Determination: Once an SMA turn is confirmed, the highest/lowest price point during that turn is determined as a structural Pivot High/Low.
Squeeze Identification: When the last two determined Highs are "Lower Highs" and the last two Lows are "Higher Lows," the engine identifies a Squeeze (Triangle Consolidation) and marks it with a Green Dot (●).
4. How to Trade (Step-by-Step)
Check the MTF Dashboard: Look at the top-right table. If the higher timeframes (4H, 1D) are Blue, the market is in a structural uptrend (making new Highs).
Wait for the Squeeze: Wait for the Green Dot (●) on your current timeframe. This signifies that energy is being stored within a tight range.
The Breakout Signal: When the price breaks the squeeze in the direction of the higher timeframe trend, a Rocket (🚀) or Lightning (⚡) icon appears. This is a high-probability entry point where a lower-timeframe consolidation resolves into a higher-timeframe trend.
5. Important Notes
As an SMA-based tool, it is a "Lagging Indicator" by nature. It focuses on structural confirmation rather than predicting unpredictable price spikes.
Always prioritize the MTF Dashboard colors. Trading against the higher timeframe trend is not recommended.
SMA Reversal Sequential MTF Engine
〜多時間軸SMA反転による高値安値確定と保合い分析〜
1. 概要 (Overview)
本スクリプトは、8つの時間軸（1分足〜月足）におけるSMA（単純移動平均線）の傾きを解析し、**「主観を排除した客観的な高値・安値」**を自動で決定するマルチタイムフレーム（MTF）環境認識エンジンです。
最大の特徴は、価格の上下に一喜一憂するのではなく、移動平均線という「相場の平均的な流れ」が反転したポイントを「真の節目（Pivot）」として定義する点にあります。これにより、ボラティリティの収束（スクイーズ）と、上位足に同期した高確率なブレイクアウトをシステマチックに捉えることができます。
2. インプット設定の完全解説 (Input Settings)
ユーザーが設定画面で調整できる各項目の具体的な意味と、変更による効果を解説します。
■ 基本設定 (Main Settings)
短期設定を使用 (Use Short Period):
ON: 期間 (5, 3, 7) を使用。スキャルピングや短期トレード向け。非常に細かく高値・安値を決定し、微細な反転も逃さず捉えます。
OFF: 期間 (20, 6, 20) を使用。デイトレード〜スイング向け。ノイズを排除し、主要な大きな波の高値・安値のみを決定します。
下位足を非表示 (Hide Lower Timeframes):
ON: 現在のチャートより短い足（例：1時間足を表示中に1分・5分足のサインなど）を隠します。上位足の構造把握に集中し、チャートをスッキリさせたい時に有効です。
ブレイク文字の右オフセット:
チャート右側の余白に表示される価格情報の位置を調整します。数値が大きいほど右側に移動します。
■ 表示設定 (Drawing Options)
現在足のラベルのみ表示 (Show Only Current TF Labels):
ON: チャート上の「15」「1H」といった他時間足のサインを非表示にします。
利点: 右上のダッシュボードには全情報が維持されるため、視認性を高めつつ、MTF分析の精度を維持できます。
トレンドライン＆チャネル (Show Trendlines & Channels):
確定した高値同士・安値同士を線で結びます。現在の価格が「どの価格幅の範囲内（チャネル）」で推移しているかを可視化します。
ZigZagライン (Show ZigZag Line):
確定した高値と安値を交互に直線で結びます。ダウ理論的な「上昇・下落の波」の推移が一目で把握可能になります。
保合い中は外側ラインを非表示:
収束（スクイーズ）が発生した際、古い広いチャネルを隠し、今まさに機能している収束ラインのみを際立たせます。
3. 核心ロジック：高値・安値の決定プロセス
本ツールは以下の手順でチャート上の構造を構築します。
SMA反転の検知: SMAの傾きが「下落→上昇」または「上昇→下落」に転じた瞬間を計算。
節点の確定: その反転が起きた前後の最高値・最安値を**「確定した高値・安値」**として決定し、ラベルを打ちます。
スクイーズ判定: 決定された「直近2つの高値」が切り下がり、かつ「直近2つの安値」が切り上がった場合を**三角保合い（スクイーズ）**と定義し、緑のドット（●）を表示します。
4. 実戦的な操作フロー
このインジケーターを使ってどのようにトレードを組み立てるかの推奨ステップです。
環境認識 (Environment Check): 右上のダッシュボードで上位足（4H, 1D等）の色を確認。青なら「買いの高値更新中」、赤なら「売りの安値更新中」です。
保合い待機 (Squeeze Watching): 現在の足に**緑のドット（●）**が出るのを待ちます。これは決定された節目が収束し、次に大きく動くためのエネルギーを蓄積している合図です。
ブレイクの判断 (Decision): 保合いを抜けた際、ダッシュボードの上位足と同じ方向であれば、**🚀（ロケット）や⚡（稲妻）**のアイコンが出現します。これが「上位足の勢いに乗った、下位足の収束解消」という、最も期待値の高いエントリーポイントです。
5. 注意事項
本ツールは移動平均線に基づく「遅行指標」の性質を持ちます。そのため、急激なスパイク（一瞬の突発的な動き）には反応しない場合があります。
常に「上位足のトレンドがどちらを向いているか」をダッシュボードで確認し、逆張りでの使用は避けることを推奨します。
Swing Structure Bands [ChartPrime]⯁ OVERVIEW
Swing Structure Bands is a structure-based trend and reaction indicator that builds adaptive price bands directly from swing highs and swing lows.
Instead of using fixed-length moving averages, the bands dynamically adjust their length based on how long price has been forming higher highs or lower lows, allowing the indicator to naturally align with real market structure.
This makes the tool especially effective for identifying swing-based support and resistance, trend continuation zones, and exhaustion reactions.
⯁ CORE CONCEPT
The indicator continuously tracks:
The most recent swing high and swing low over a configurable swing window.
How long price has been developing since each swing point.
Dynamic moving averages whose length grows with the swing itself.
As long as price respects the current swing direction, the bands extend and adapt.
When structure breaks, the system resets and starts forming new swing-based bands.
⯁ SWING DETECTION LOGIC
A Swing High is detected when price forms a local maximum relative to the swing lookback.
A Swing Low is detected when price forms a local minimum relative to the swing lookback.
Direction flips when price transitions from forming highs to forming lows, or vice versa.
Each confirmed swing is marked on the chart, giving clear structural context.
⯁ ADAPTIVE BAND CONSTRUCTION
Upper bands are derived from swing highs.
Lower bands are derived from swing lows.
Band length dynamically increases as the swing develops.
Multiple MA types can be used (SMA, EMA, SMMA/RMA, WMA, VWMA).
ATR is applied as an offset to create upper and lower envelopes around each band, forming a volatility-aware structure channel.
⯁ VOLATILITY FILTERING
If the band moves too aggressively relative to ATR, it is temporarily disabled.
This prevents unstable or noisy bands during sudden expansions.
Bands only remain active when price structure is stable.
This logic keeps the indicator focused on meaningful swings rather than short-term spikes.
⯁ REACTION & SIGNAL LOGIC
Sell signals appear when price crosses down from the upper swing band after sufficient stabilization.
Buy signals appear when price crosses up from the lower swing band after sufficient stabilization.
Cooldown logic prevents signal clustering.
Signals are designed as structure reactions , not momentum breakouts.
⯁ VISUAL STRUCTURE CLARITY
Separate bullish and bearish bands with customizable colors.
Optional band envelopes for visual depth.
Clear swing labels marking structural turning points.
Diamond markers highlight reaction zones.
The visualization emphasizes where price reacts to structure rather than where it accelerates.
⯁ HOW TO USE
Use upper bands as dynamic resistance during bearish or corrective phases.
Use lower bands as dynamic support during bullish phases.
Combine band reactions with higher-timeframe trend direction.
Look for confirmations near bands rather than mid-range entries.
The indicator works best as a structure framework rather than a standalone signal generator.
⯁ IDEAL MARKET CONDITIONS
Trending markets with clear swing development.
Markets transitioning from impulse to correction.
Crypto, forex, indices, and liquid stocks.
⯁ CONCLUSION
Swing Structure Bands offers a structurally grounded alternative to traditional moving average channels.
By anchoring bands to real swing behavior and adapting dynamically over time, it provides traders with a clearer view of where price is reacting, pausing, or potentially reversing within the broader market structure.
ChannellerChanneller Pro - Multi-Pivot Regression Channels with Trend Validation
What This Indicator Does
Channeller Pro automatically detects and draws price channels by connecting multiple pivot points using linear regression rather than simply connecting two points. The indicator displays parallel support and resistance lines that define the current trend channel, along with an optional mid-line for mean reversion analysis.
Channels automatically appear when valid trend conditions are met and disappear when the trend structure breaks, keeping your chart clean and showing only actionable information.
---
How It Works (Methodology)
1. Multi-Pivot Linear Regression
Unlike simple channel indicators that connect only 2 pivot points, this indicator collects 3-5 pivot lows (for bullish channels) or pivot highs (for bearish channels) and calculates a least-squares linear regression line through them. This produces a statistically best-fit trendline that is more resistant to noise from a single errant pivot.
The regression calculation outputs:
- Slope: The angle/direction of the trend
- Intercept: The starting price level
- R² (coefficient of determination): A value from 0 to 1 measuring how well the pivot points align. Higher R² means the pivots form a cleaner, more reliable trendline. The default minimum is 0.70.
2. Higher-Low / Lower-High Pattern Validation
For a bullish channel to form, the indicator requires each successive pivot low to be higher than the previous pivot low (the definition of an uptrend). For bearish channels, each pivot high must be lower than the previous (downtrend structure). This filter prevents channels from forming during choppy, non-trending conditions.
3. ADX Trend Strength Filter
The indicator calculates the Average Directional Index (ADX) to measure trend strength. Channels only appear when ADX exceeds a user-defined threshold (default: 20). When ADX drops below this level, indicating the trend has weakened, channels automatically disappear. This prevents false channels during sideways/ranging markets.
4. Channel Width Calculation
Once the regression support line is established, the indicator finds the highest high (for bull channels) or lowest low (for bear channels) between the first and last pivot. A parallel line is drawn at this distance to form the opposite channel boundary.
5. Channel Respect Monitoring
The indicator tracks how price interacts with channel boundaries:
- Bounces: Price touches the boundary and reverses
- Pierces: Price closes beyond the boundary
If price pierces through a channel boundary multiple times, the channel is invalidated and removed, signaling the trend structure has broken.
---
How to Use This Indicator
Identifying Trends
- A green channel (bullish) indicates an uptrend with higher lows
- A red channel (bearish) indicates a downtrend with lower highs
- The R² value in the label shows channel quality (higher = more reliable)
Trading Applications
- Trend Following: Trade in the direction of the channel slope
- Support/Resistance: Use channel boundaries as potential reaction zones
- Mean Reversion: The optional mid-line (dashed) can serve as a target for pullback entries
- Breakout Preparation: When a channel disappears, it signals the prior trend structure has ended
Reading the Labels
- "BULL R²:0.85 (4 pivots)" means a bullish channel with 85% regression fit using 4 pivot points
- Orange-colored labels indicate weaker channels (R² between 0.70-0.85)
- Green/red labels indicate stronger channels (R² above 0.85)
---
Input Settings Explained
| Setting | Description |
|---------|-------------|
| Pivot Lookback Left/Right | Bars required on each side to confirm a pivot high/low |
| Min Pivots for Channel | Minimum pivot points required (more = stricter) |
| Max Pivots to Track | Maximum pivots stored (older pivots are dropped) |
| Min R² Score | Minimum regression quality (0.70 = 70% fit) |
| ADX Threshold | Minimum ADX value to show channels (20 = moderate trend) |
| Require HL/LH Pattern | Enforce higher-lows for bull, lower-highs for bear |
---
What Makes This Different
This indicator combines multiple validation layers that work together:
1. Regression vs. 2-point lines: More statistically robust trendlines
2. R² quality scoring: Quantifies how clean the trend structure is
3. Pattern validation: Ensures proper trend structure (HL/LH)
4. ADX filtering: Confirms trend exists before drawing channels
5. Auto-invalidation: Channels disappear when broken, not manually
These components create a self-cleaning channel system that only displays high-probability trend channels.
---
Alerts Available
- Bull/Bear Channel Formed
- Bull/Bear Channel Broken
- New Pivot High/Low Detected
Universal Adaptive Tracking🙏🏻 Behold, this is UAT (Universal Adaptive Tracker) , with less words imma proceed how it compares with alternatives:
^^ comparison with non-adaptive quadratic regression (purple line), that has higher overshoots, less precision
^^ comparison with JMA and its adaptive gain. JMA’s gain is heavily limited, while UAT’s negative and positive gains are soft-saturated with p-order Möbius transform
This drop is inspired by, dedicated to, and made will all love towards Jurik Research , who retired in October 2k21. When some1 steps out, some1 has to step in, and that time it’s me (again xd). But there’s some history u gotta know:
Some history u gotta know:
In ~2008 dudes from forexfactory reverse engineered Jurik Moving Average
In late 1990s dudes from Jurik Research approximated the best possible adaptive tracking filter for evolution of prices via engineering miracles
Today in 2k26, me I'm gonna present to you the real mathematical objects/entities behind JMA top-edge engineered approximates. You will prolly be even more happy now then all the dem together back then.
Why all this?
When we talk about object tracking stuff, e.g. air defense, drones, missiles, projectiles, prices, etc, it all comes down to adaptive control and (Position & Velocity & Acceleration) aka PVA state space models (the real stuff many of you count as DSP ).
Why? Cuz while position (P) : (mean), or position & velocity (PV) : (linear regression) are stable enough in dem own ways, Position & Velocity & Acceleration (PVA) : (quadratic regression+) require adaptivity do be stable. And real world stuff needs PVA, due to non-linearity for starters.
So that’s why. If your goal is Really smoothing and no lag, u gotta go there. I see a lot of folks are crazy with it and want it, so here is it, for y’all. And good news, this is perfect for your favorite Moving Windows.
How to use it
The upper study:
The final filter (main state): just as you use other fast smoothers, MAs, etc, you know better than me here
You can also turn in volatility bands in script’s style settings, these do not require any adjustments
Finally, you can turn on, in the same place, separate trackers each based on negative and positive volatility exclusively. When both are almost equal, that indicates stability & persistence in markets. May sound like it’s nothing important, but I've never seen anything like it before. Also, if you'd allow your our inner mental gym hero gloriously arise, you can argue that these 2 separate trackers represent 2 fair prices (one for sellers, one for buyers). All better then 1 imaginary fair price for both (forget about it)
The lower study:
The lower study: you can analyze streams of upward of downward volatilities separately. This is incredibly powerful
You can also turn these off and turn on neg & pos intensities, and use them as trend detector, when each or both cross 1.5 (naturally neutral) threshold.
^^ Upper study with expected typical and maximum volatility bands turned On
...
The method explained
What you got in the end is non-linear, adaptive, lighting fast when needed and slow when required price tracking. All built upon real math entities/objects, not a brilliantly engineered approximation of them. No parameters to optimize, data tells it all.
... It all starts from a process model, in our cause this is...
MFPM (Mechanical Feedback Price Model)
Doesn’t make gaussian assumptions like most quant mainstream tech, accepts that innovations are Laplace “at best”, relies in L inf and L0 spaces.
I created this model neither trynna fit non-fitting ARMA / variants, nor trynna be silly assuming that price state evolution and markets are random.
Theory behind it: if no new volume comes, then price evolution would be simply guided by the feedback based on previous trading activity, pushing prices towards the midrange between 2 latest datapoints, being the main force behind so called “pullbacks” and reason why most pullbacks end just a bit past 50% of a move.
This is the Real mechanical feedback based mean reversion, that is always there in the markets no matter what, think of it as a background process that is always there, and fresh new volume deviates prices away from it. Btw, this can also be expressed as AR2 with both phis = 0.5 .
Then I separate positive and negative innovations from this model and process them separately, reflecting the asymmetry between buy and sell forces, smth that most forget. Both of these follow exponential distribution . Each stream has its own memory so here we use recursive operators . We track maximum innovations (differences between real and expected datapoints) with exponentially decaying damping factor, and keep tracking typical innovation, with the same factor.
Then we calculate what’s called in lovely audio engineering as “ crest factor ”, the difference is we don’t do RMS and stuff. But hey again we work with laplace innovations, so we keep things in L0 and L inf spirit. Then we go a couple of steps further, making this crest factor truly relative (resolution agnostic), and then, most importantly, we apply a natural saturation on it based on p-order Möbius transform, but not with arbitrary p and L, but guided by informational limits of the data. These final "intensity" parameters are what we need next to make our object tracking adaptive.
Extended Beta(2, 2) Window
This is imo the main part of this. Looking at tapering windows in DSP and how wavelets are made from derivatives of PDF functions of probability distributions, I figured that why use just one derivative? That made me come up with Universal Moving Average , that combines PDF and CDF of Beta(2, 2) distribution . And that is fine for P (position) tracking model.
Here we need PVA (position & velocity & acceleration). We can realize that everything starts from PDF, and by adding derivatives and anti-derivatives of it as factors of final window weights, we can create smth truly unique, a weightset that is non-arbitrary and naturally provides response alike quadratic regression does, But, naturally smoothed.
Why do I consider this a discovery, a primordial math object? Because x^2 itself and Beta(2, 2) based on it are the only primitives, esp out of all these dozens of DSP tapering windows, that provide you a finite amount of derivatives. You can keep differentiating Hann window until the kingdom f come, while Welch window aka Beta(2, 2) has a natural stopping point, because the 3rd derivative is 0, so we can’t use it. Symmetrically, we do 2 steps up from PDF, getting 1st and second anti-derivatives. What’s lovely, symmetrically, 3rd antiderivative even tho exist, it stops making any sense. 2nd one still makes sense, it’s smth like “potential” of probability distribution, not really discussed in mainstream open access sources.
Finally, the last part is to introduce adaptivity using these intensity exponents we’ve calculated with MFPM. We do 2 separate trackers, one using the negative intensity exponent, another one uses positive intensity exponent.
And at the end, even tho using both together is cool, the final state estimate is calculated simply as the state which intensity has higher.
^^ impulse response of our final kernel with fixed (non adaptive) intensity exponents: 1 (blue) and 2 (red). You see it's all about phase
…
And that’s all folks.
…
Actually no …
Last, not least, is the ability to add additional innovation weight to the kernel:
^^ Weighting by innovations “On”. Provides incredible tracking precision, paid with smoothness. I think this screenshot, showing what happened after the gap, and how the tracker managed to react, explains it all.
...
Live Long and Prosper, all good TradingView
∞
Reversal Detection v3.1 - Real-Time Pro (Non-Repainting)Reversal Detection Pro v3.1 - Universal Non-Repainting
ACKNOWLEDGMENTS
Special thanks to @ksiva100 for extensive testing and detailed feedback on v3.0 that led to the major improvements in v3.1. Their real-world testing on GC, ES, NQ, NG, and CL futures across 3-5 minute timeframes identified critical issues with sensitivity scaling and helped shape the universal ATR-adaptive system that makes this version work seamlessly across all instruments and timeframes.
Community feedback like this is invaluable in creating better tools for all traders.
FULL DESCRIPTION:
OVERVIEW
Reversal Detection Pro v3.1 is a non-repainting reversal identification system designed for futures trading across all timeframes. The indicator uses ATR-adaptive thresholds combined with a zigzag-based pivot detection algorithm to identify confirmed price reversals. A triple EMA trend filter provides directional context, while optional supply/demand zones highlight key reversal areas.
The indicator automatically scales to any instrument's price level and volatility through its ATR-adaptive mechanism, eliminating the need for manual threshold adjustments when switching between instruments or timeframes.
KEY FEATURES
Non-Repainting Confirmation System
All confirmed reversal signals are final and do not disappear or move to different bars. The indicator includes an optional preview mode that shows potential reversals before confirmation, clearly labeled to distinguish them from confirmed signals. Users can add extra confirmation bars for additional validation before signals appear.
ATR-Adaptive Sensitivity
The indicator uses Average True Range (ATR) as its primary sensitivity mechanism. Five preset sensitivity levels (Very High, High, Medium, Low, Very Low) multiply the ATR by factors ranging from 0.8x to 3.5x. This approach automatically adapts to:
Different price levels (works equally on $25 micro futures and $25,000 instruments)
Varying volatility conditions (calm vs. volatile markets)
Multiple timeframes (1-minute through daily charts)
Different trading sessions (regular hours vs. after-hours)
Triple EMA Trend Detection
Three exponential moving averages (9, 14, and 21 periods) create a trend identification system. The info table displays current trend status as BULLISH, BEARISH, or NEUTRAL. Strong signals occur when a reversal aligns with the prevailing trend direction.
Supply and Demand Zones
Optional rectangular zones display at confirmed pivot points. These zones are color-coded (green for demand/support, red for supply/resistance) and can be configured for thickness, extension length, and maximum number displayed. Zones can be toggled on or off independently of reversal signals.
Information Display Table
A customizable table shows real-time indicator settings including:
Current signal mode (Confirmed Only, Preview, or Both)
Active sensitivity preset
ATR multiplier value
Percentage threshold
Current ATR reading
Calculated reversal threshold
Current trend status
Comprehensive Alert System
Eight different alert conditions cover all signal types:
Bullish reversal confirmed
Bearish reversal confirmed
Any reversal (combined)
EMA buy signal (trend change to bullish)
EMA sell signal (trend change to bearish)
Trend changed to bullish
Trend changed to bearish
Strong bullish (reversal + bullish trend aligned)
Strong bearish (reversal + bearish trend aligned)
HOW IT WORKS
Reversal Detection Algorithm
The indicator tracks price using a zigzag methodology that requires a minimum reversal amount before confirming a pivot. This reversal threshold is calculated using three components:
ATR Component (Primary): ATR × Sensitivity Multiplier
Percentage Component (Safety Floor): Close Price × Percentage Threshold
Absolute Component (Minimum Floor): Fixed dollar/point amount
The reversal threshold equals whichever of these three values is largest. This ensures appropriate sensitivity across all instruments and timeframes.
Pivot Confirmation Process
Price must move in one direction to establish a high or low pivot point. When price reverses by the minimum threshold amount, that pivot is confirmed. A reversal signal triggers when price subsequently breaks through the previous confirmed pivot in the opposite direction.
Signal Generation
Green labels and lines: Bullish reversal confirmed (buy signal)
Red labels and lines: Bearish reversal confirmed (sell signal)
Preview labels (if enabled): Potential reversals not yet confirmed (semi-transparent)
Trend Filter Operation
The 9/14/21 EMA system identifies trend direction:
BULLISH: 9 EMA > 14 EMA > 21 EMA, with price above 9 EMA
BEARISH: 9 EMA < 14 EMA < 21 EMA, with price below 9 EMA
NEUTRAL: EMAs not in sequential order
Strong signals occur when reversals align with trend direction.
HOW TO USE
Initial Setup
Add Indicator to Chart
Search "Reversal Detection Pro v3.1" in TradingView indicators
Click to add to any futures chart
Default settings work immediately on any instrument/timeframe
Choose Signal Mode (Signal Controls section)
Confirmed Only: Shows only final, non-repainting signals (recommended for trading)
Confirmed + Preview: Shows both confirmed and potential signals
Preview Only: Shows only potential signals (educational/learning mode)
Set "Extra Confirmation Bars" to 0 for immediate signals, or 1-5 for additional validation
Select Sensitivity (Main Controls section)
Very High: Maximum signals, catches small swings (0.8× ATR)
High: Active trading with more opportunities (1.2× ATR)
Medium: Balanced quality and quantity - recommended starting point (2.0× ATR)
Low: Conservative, higher quality signals (2.8× ATR)
Very Low: Major reversals only, highest quality (3.5× ATR)
Recommended Settings by Timeframe
1-2 Minute Charts (Ultra-Short Scalping)
Sensitivity: High or Very High
Confirmation Bars: 0
Expected: 10-20+ signals per session
Best for: Quick scalps, high-frequency trading
3-5 Minute Charts (Active Day Trading)
Sensitivity: Medium or High
Confirmation Bars: 0-1
Expected: 5-15 signals per session
Best for: Standard scalping, intraday swings
15-30 Minute Charts (Swing Trading)
Sensitivity: Medium or Low
Confirmation Bars: 0-1
Expected: 2-8 signals per session
Best for: Larger intraday swings, part-time trading
1-4 Hour Charts (Position Trading)
Sensitivity: Low or Very Low
Confirmation Bars: 1-2
Expected: 1-5 signals per week
Best for: Multi-day position trades
Daily Charts (Long-Term Swing Trading)
Sensitivity: Very Low
Confirmation Bars: 1-3
Expected: 1-4 signals per month
Best for: Weekly to monthly swing trades
Customizing Display
Supply/Demand Zones (Zones section)
Enable "Show Supply/Demand Zones" to display rectangular areas at pivots
Adjust "Number of Zones" to control how many recent zones appear (0-20)
Set "Zone Box Extension" for forward projection length (5-100 bars)
Modify "Zone Thickness" as percentage of price (0.01%-0.2%)
Visual Elements (Labels section)
"Stop Line Extension": Length of horizontal lines at reversal points (1-50 bars)
"Maximum Lines to Display": Limits historical lines visible (3-50)
"Label Size": Small, Normal, or Large text
Information Table (Info Table section)
Toggle "Show Info Table" on/off
Choose "Table Position": Six position options
Select "Table Size": Tiny through Huge
Setting Up Alerts
Click the "Alert" button (clock icon) on TradingView
Select "Reversal Detection Pro v3.1" from Condition dropdown
Choose specific alert type or "Any REVERSAL" for all signals
Set "Options" to "Once Per Bar Close" (recommended)
Configure notifications (popup, email, SMS, webhook)
Name your alert and click "Create"
For highest-probability trades, use "STRONG Bullish Signal" and "STRONG Bearish Signal" alerts which combine reversals with trend confirmation.
Advanced Settings (Custom Mode)
For experienced users, selecting "Custom" sensitivity unlocks manual control:
Calculation Method: "average" for smoother signals, "high_low" for more responsive
Percentage Reversal: Manual percentage threshold (0.01%-1.0%)
Absolute Reversal: Fixed dollar/point minimum ($0.01-$50)
ATR Multiplier: Manual ATR multiplication factor (0.1-10.0)
ATR Length: Period for ATR calculation (1-50, standard is 14)
Average Length: Smoothing period for high/low when using "average" method (1-50)
Trading Workflow Example
Identify Market Context
Check info table for trend status (BULLISH, BEARISH, NEUTRAL)
Note current ATR and reversal threshold values
Observe recent reversal signal quality
Wait for Signal
Green label = potential long entry (bullish reversal)
Red label = potential short entry (bearish reversal)
Horizontal line shows reversal pivot level
Evaluate Signal Quality
Strongest signals align with trend (STRONG alerts)
Check if reversal occurs at supply/demand zone
Verify adequate volume on reversal bar
Execute Trade
Enter on signal confirmation
Place stop loss below/above reversal pivot line
Target next supply/demand zone or opposing reversal signal
Manage Position
Trail stop loss with price movement
Take partial profits at zones
Exit on opposing reversal signal or stop hit
Multi-Timeframe Analysis
For optimal results, use multiple timeframes:
Higher timeframe (3-5× larger): Determine overall trend direction
Trading timeframe: Execute trades on reversal signals
Lower timeframe (3-5× smaller): Fine-tune entries and exits
Example: Trade ES futures
1 Hour chart: Identify BULLISH trend
5 Minute chart: Take only green (long) reversal signals
1 Minute chart: Time precise entry after signal appears
IMPORTANT USAGE NOTES
Understanding Signal Timing
This is a reversal identification indicator, not a prediction tool. Signals appear AFTER price begins reversing from a pivot, not at the exact top or bottom. This is intentional design - the confirmation process ensures reliability at the cost of capturing the absolute extremes.
Timeframe and Signal Frequency
Higher timeframes naturally produce fewer signals. This is correct behavior:
Daily charts: 1-4 signals per month is normal
1-hour charts: 1-5 signals per week is normal
5-minute charts: 5-15 signals per day is normal
1-minute charts: 10+ signals per hour is normal
If you want more signals, either use a lower timeframe or higher sensitivity setting.
Optimal Market Conditions
Best performance occurs during:
Regular trading hours (RTH) with normal volume
Trending or ranging markets
Liquid instruments with tight spreads
Normal volatility environments
Reduced performance may occur during:
Major economic announcements (FOMC, NFP, CPI)
Opening gaps or halted trading
Extremely thin markets (after-hours, holidays)
Flash crash or extreme volatility events
Risk Management Requirements
Always use stop losses (place beyond reversal pivot)
Position size appropriately (1-2% account risk per trade)
Account for commissions and slippage in planning
Never trade with funds you cannot afford to lose
Paper trade new settings before using real capital
Not a Complete Trading System
This indicator identifies potential reversal points but should be used as part of a complete trading plan including:
Overall market analysis and context
Risk/reward assessment
Position sizing methodology
Trade management rules
Psychological discipline
TECHNICAL SPECIFICATIONS
Calculation Method
Base Algorithm: Modified zigzag with adaptive thresholds
Primary Sensitivity: ATR-based multiplier system
Trend Filter: Triple EMA (9/14/21 exponential moving averages)
Price Calculation: Configurable (high/low or EMA-smoothed high/low)
Confirmation: Configurable delayed confirmation (0-5 bars)
Resource Usage
Maximum Boxes: 50 (for supply/demand zones)
Maximum Lines: 200 (user-configurable display limit)
Maximum Labels: 100 (for reversal markers)
Calculation Speed: Fast (minimal computational overhead)
Compatibility
TradingView Pine Script: Version 6
Chart Types: All (candlestick, bar, line, etc.)
Instruments: All futures contracts (optimized for liquid markets)
Timeframes: All (1 second through 1 month)
Features: Alerts, Strategy Tester compatible
SUITABLE INSTRUMENTS
Micro E-mini Futures
MES (Micro E-mini S&P 500), MNQ (Micro E-mini Nasdaq-100), MYM (Micro E-mini Dow), M2K (Micro E-mini Russell 2000), MGC (Micro Gold), MCL (Micro Crude Oil)
E-mini Futures
ES (E-mini S&P 500), NQ (E-mini Nasdaq-100), YM (E-mini Dow), RTY (E-mini Russell 2000)
Commodities
GC (Gold), SI (Silver), CL (Crude Oil), NG (Natural Gas), HG (Copper), ZW (Wheat), ZC (Corn), ZS (Soybeans)
Indices
SPX (S&P 500 Index), NDX (Nasdaq-100 Index), DJI (Dow Jones Industrial Average)
Currencies
6E (Euro FX), 6B (British Pound), 6J (Japanese Yen), 6A (Australian Dollar)
Interest Rates
ZB (30-Year T-Bond), ZN (10-Year T-Note), ZF (5-Year T-Note)
Crypto Futures
BTC (Bitcoin Futures), ETH (Ethereum Futures)
The ATR-adaptive system works on any liquid futures contract. Results may vary on extremely thin markets or instruments with unusual price structures.
LIMITATIONS AND CONSIDERATIONS
What This Indicator Does
Identifies confirmed price reversals after they begin
Adapts threshold requirements to market volatility
Provides trend context through EMA analysis
Marks potential support/resistance zones
Generates alerts for reversal conditions
What This Indicator Does NOT Do
Predict future price movements
Guarantee profitable trades
Work equally in all market conditions
Eliminate the need for trader judgment
Replace a complete trading strategy
Known Limitations
Signals lag actual reversal by design (confirmation required)
May generate false signals during choppy, directionless markets
Not optimized for gapping markets or illiquid instruments
Requires normal volatility (extreme VIX can affect performance)
EMAs are lagging indicators (trend status reflects recent past)
User Responsibility
Users are responsible for:
Backtesting settings on their chosen instruments
Understanding how the indicator works before trading
Implementing proper risk management
Complying with their broker's margin requirements
Following applicable regulations in their jurisdiction
DISCLAIMERS
Educational Purpose
This indicator is provided for educational and informational purposes only. It is a technical analysis tool designed to assist traders in identifying potential reversal points. It does not constitute financial advice, investment recommendations, or trading signals.
No Performance Guarantees
Past performance of this indicator does not guarantee future results. Markets are inherently uncertain and no technical indicator can predict future price movements with certainty. Losses are a normal part of trading and users should expect both winning and losing trades.
Risk Warning
Trading futures involves substantial risk of loss and is not suitable for all investors. Users should carefully consider whether trading is appropriate for them in light of their experience, objectives, financial resources, and other relevant circumstances. Users should only trade with capital they can afford to lose entirely.
No Liability
The indicator creator and publisher are not responsible for any losses incurred through use of this indicator. Users assume full responsibility for their trading decisions and outcomes. The indicator is provided "as-is" without warranties of any kind.
Testing Requirement
Users should thoroughly test this indicator using paper trading or small position sizes before committing significant capital. Different instruments, timeframes, and market conditions will produce different results. What works well in one context may not work in another.
Not Investment Advice
Nothing in this description or in the indicator itself constitutes investment advice or a recommendation to buy or sell any security. Users should consult with a licensed financial advisor before making investment decisions.
SUPPORT AND UPDATES
Version Information
Current Version: 3.1
Release Date: 21 January 2025
Pine Script Version: 6
Updates and Improvements
This indicator may receive updates to improve functionality, fix bugs, or add features. Users will automatically receive updates through TradingView's indicator system. Major version changes may include breaking changes to settings or behavior.
User Feedback
Community feedback helps improve the indicator. Users are encouraged to share their experiences, report issues, and suggest enhancements through comments. Please include specific details about instruments, timeframes, and settings when reporting issues.
Following for Updates
Click "Follow" on the @NPR21 profile to receive notifications about new indicators, updates, and educational content.
Hooke's Law: Market ElasticityHooke's Law: Market Elasticity is a physics-based mean reversion system that models price action using the principles of Classical Mechanics.
Most technical indicators treat the market as a purely statistical entity. This script takes a different approach, treating the market as a physical object with Mass (Volume) and Stiffness (Volatility) . By adapting Hooke’s Law of Elasticity (𝐹=−𝑘𝑋), it visualizes the "Tensile Stress" between price and its equilibrium, identifying the exact moment when a trend becomes unsustainable and must "snap back."
The Physics of Trading
In physics, Hooke's Law states that the force needed to extend a spring is proportional to the distance it is stretched. We map this to financial markets using four key components:
Equilibrium (𝑋=0): The "Resting State" of the market, calculated using a Volume-Weighted Moving Average (VWMA) . This represents the fair value where buyers and sellers agree.
2. Displacement (𝑋): The distance price travels away from this equilibrium.
3. Spring Constant (𝑘): We use Volatility (Standard Deviation) to measure the market's "stiffness."
• Low Volatility: The spring is loose; price can wander far without snapping.
• High Volatility: The spring is stiff; even small deviations create massive tension.
4. Force (𝐹): The calculation is weighted by Relative Volume . A price spike on low volume has low force (easy to reverse), while a spike on high volume carries high momentum (harder to reverse).
Visual Guide & Signals
The indicator uses a hierarchy of visuals to guide you through the trade lifecycle:
1. The Elastic Ribbon (Heatmap)
Connects Price to the Baseline. As the ribbon turns Solid White , the market has reached its Elastic Limit (Critical Zone). This is your warning that a move is overextended.
2. The "Golden" Labels (LONG / SHORT)
These are your Entry Signals . They appear only when the physics "snap" is confirmed by an internal momentum filter and price action.
3. The Small Circles (Minor Reversions)
These dots represent "Minor Snaps." They occur when the elastic tension releases, but the momentum filter hasn't fully confirmed a major reversal.
• Usage: These are excellent Early Warning signs or Scale-In points for aggressive traders.
Strategy: Entries, Exits & Take Profits
This script is designed as a complete system. Here is how to manage the trade using the visual cues:
• Entry: Wait for a LONG or SHORT label to appear.
• Stop Loss: Use the Solid White Line that appears automatically with the signal. If price touches this line, the physics setup has failed—exit immediately.
• Take Profit 1 (The Equilibrium): The Gray Baseline represents the market's center of gravity. In mean reversion trading, price tends to snap back to this line. This is the statistically highest-probability target.
• Take Profit 2 (The Circles): If you are in a trade and a Circle appears in the opposite direction, it indicates the market is experiencing counter-tension. This is an ideal place to secure partial profits or trail your stop.
Settings & Configuration
• Baseline Length (Default: 34): The lookback period for the Center of Gravity.
• Elasticity Limit (Default: 2.618): The Golden Ratio is used as the standard deviation threshold for the "Critical Zone."
• Volume Weighting (Default: True): Recommended. Adds the "Mass" component to the physics calculation.
• Stop Loss Buffer (Default: 0.5): The distance (in Sigma) for the Stop Loss placement.
Risk Disclaimer
Not Financial Advice: This indicator is designed for educational and analytical purposes only. It visualizes market data based on mathematical formulas (Hooke's Law and Statistical Deviation) and does not guarantee future performance or profits.
Market Risks: Financial trading involves significant risk. The "Critical Zones" and "Signals" generated by this script identify statistical extremes, but markets can remain irrational or overextended for long periods ("Plastic Deformation").
Usage: Do not trade blindly based on these signals. Always use this tool in conjunction with your own analysis, risk management, and stop-losses. The author assumes no responsibility for any trading losses incurred while using this script.
Smart Trader, Episode 03, by Ata Sabanci, Candles and TradelinesA volume-based multi-block analysis system designed for educational purposes. This indicator helps traders understand their current market situation through aggregated block analysis, volumetric calculations, trend detection, and an AI-style narrative engine.
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DESIGN PHILOSOPHY: CLEAN CHART, RICH DASHBOARD
Traditional indicators often clutter charts with dozens of support/resistance lines, making it difficult to see price action clearly. This indicator takes a different approach:
The Chart:
Displays only the most meaningful, nearest levels (1 up, 1 down) that have not been consumed by price. This keeps your chart clean and focused on what matters right now.
The Dashboard:
Contains all detailed metrics, calculations, and analysis. Instead of drawing 20 lines on your chart, you get comprehensive data in an organized table format.
Why this approach?
• A clean chart allows you to see price action without visual noise
• Fewer but more meaningful levels help focus attention on immediate reference points
• The dashboard provides depth without sacrificing chart clarity
• Beginners can learn chart reading with an uncluttered view while accessing detailed analysis when needed
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1. BLOCK SEGMENTATION
What it does:
Divides the analysis window into fixed-size blocks. Each block contains multiple bars that are analyzed as a single unit.
Why:
Individual bars contain noise. A single red candle in an uptrend might cause unnecessary concern, but when you view 5-10 bars as one block, the overall direction becomes clear. Block segmentation filters out bar-to-bar noise and reveals the underlying structure.
Benefit:
• Clearer view of market structure at a higher aggregation level
• Enables comparison between time periods (Block 1 vs Block 2 vs Block 3)
• Creates the foundation for composite candles and trend detection
• Reduces emotional reaction to single-bar movements
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2. COMPOSITE CANDLES (FRACTAL CONCEPT)
What it does:
Each block generates a "ghost candle" representing aggregated OHLC:
• Open: First bar's open in the block
• High: Highest high across all bars in the block
• Low: Lowest low across all bars in the block
• Close: Last bar's close in the block
Why:
This is essentially a FRACTAL view of the market. The same candlestick patterns that appear on a daily chart also appear on hourly charts, and on 5-minute charts. By aggregating bars into composite candles, you create a synthetic higher timeframe view without changing your actual timeframe.
Benefit:
• See higher timeframe patterns while staying on your preferred timeframe
• Identify block-level candlestick patterns (Doji, Hammer, Marubozu, Engulfing, etc.)
• Compare composite candle relationships: Does Block 1 engulf Block 2? Is Block 1 an inside bar relative to Block 2?
• Recognize patterns that individual bars obscure due to noise
Fractal Nature:
A hammer pattern means the same thing whether it appears on a 1-minute chart or a weekly chart: price tested lower levels and was rejected. Composite candles let you see these patterns at your chosen aggregation level, providing a multi-scale view of market behavior.
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3. VOLUME ENGINE
What it does:
This indicator is 100% VOLUME-BASED. It separates total volume into buying volume and selling volume using two methods:
Method 1 - Geometric (Approximation):
• Buy Volume = Total Volume × ((Close - Low) / Range)
• Sell Volume = Total Volume × ((High - Close) / Range)
Method 2 - Intrabar LTF (Precise):
Uses actual tick-level or lower timeframe data to determine real buy/sell distribution.
Why:
Raw volume tells you HOW MUCH was traded, but not WHO was aggressive. A large volume bar could mean heavy buying, heavy selling, or both. By separating buy and sell volume, you can identify which side is driving the market.
Benefit:
• Identify whether buyers or sellers are more aggressive
• Detect when volume contradicts price direction (divergence)
• Measure accumulation (buying into weakness) vs distribution (selling into strength)
• Quantify the delta (buy minus sell) to see net pressure
Why Delta Matters:
If price is rising but delta is negative, sellers are actually more aggressive despite the price increase. This divergence often precedes reversals because the price movement lacks volume confirmation.
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4. PIN ANALYSIS (WICK MEASUREMENT)
What it does:
Calculates average upper pin (wick) and lower pin sizes for each block, then tracks how these change across consecutive blocks.
Why:
Upper pins represent price levels that were tested but rejected by sellers. Lower pins represent price levels that were tested but rejected by buyers. The size and direction of pins reveal rejection strength at specific price zones.
Benefit:
• Large upper pins = strong selling pressure at higher levels
• Large lower pins = strong buying support at lower levels
• Increasing upper pins across blocks = intensifying selling pressure
• Decreasing lower pins across blocks = weakening buying support
Why Track Pin Changes:
Pin behavior often changes before price direction changes. If lower pins are shrinking while price is still rising, the buying support that was defending dips is weakening. This is observable data, not prediction.
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5. TREND CHANNEL DETECTION
What it does:
Identifies trend direction using block-level price structure:
• UPTREND: Block highs are higher than previous block highs, AND block lows are higher than previous block lows (HH/HL pattern)
• DOWNTREND: Block highs are lower than previous block highs, AND block lows are lower than previous block lows (LH/LL pattern)
• RANGE: No consistent directional pattern
Once detected, the system draws upper and lower channel boundaries by connecting extreme points within each trend segment.
Why:
HH/HL and LH/LL are the classical definitions of trend. By applying this logic to composite candles (blocks) rather than individual bars, the trend detection becomes more stable and less prone to whipsaws from single-bar noise.
Benefit:
• Clear visual boundaries showing the current trend channel
• Upper channel line = dynamic resistance based on actual price structure
• Lower channel line = dynamic support based on actual price structure
• Channel angle indicates trend strength (steeper = stronger)
• Channel width indicates volatility
Why Lock Trend States:
Once a block's trend classification is determined, it locks and does not change on subsequent recalculations. Without locking, the same block could flip between UP and DOWN repeatedly, creating inconsistent analysis. Locking ensures stability.
Why Project Lines Forward:
Channel lines can be projected into the future to show where support/resistance would be if the current trend continues at the same angle. This is not a prediction; it is a visual reference showing the trend's trajectory.
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6. CORE LEVELS: POC, MAX BUY, MAX SELL
What it does:
Identifies key price levels within each block based on volume data:
POC (Point of Control):
The price level where the highest total volume occurred within the block.
MAX BUY Level:
The bar with the highest buying volume. The HIGH of this bar marks the level.
MAX SELL Level:
The bar with the highest selling volume. The LOW of this bar marks the level.
MIN BUY/SELL Levels:
Optional levels showing where minimum buy/sell volume occurred.
Why:
High volume at a specific price means many participants entered positions there. These participants have a vested interest in that price level. If price returns to that area, those same participants may act to defend their positions.
Benefit:
• POC acts as a volume-based magnet; price tends to revisit high-volume areas
• MAX BUY level shows where buyers committed most aggressively
• MAX SELL level shows where sellers committed most aggressively
• These levels are based on actual transaction data, not arbitrary calculations
Why Consumed Levels Disappear:
When price crosses through a level, that level has been "tested." Keeping consumed levels on the chart creates visual clutter and suggests they are still relevant when they may no longer be. Removing them keeps focus on levels that have not yet been tested.
Why Show Only Nearest Levels:
If you have 20 blocks, you could have 60+ potential levels (POC, MAX BUY, MAX SELL for each). Displaying all of them makes the chart unreadable. Showing only the nearest untested level above and below current price keeps the chart clean while providing immediate reference points.
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7. QUALITY SCORE AND TREND INTELLIGENCE
What it does:
Calculates a quality score (0-100) for the current trend based on multiple factors:
• Angle steepness (stronger trends have steeper angles)
• Delta consistency (does volume support the trend direction?)
• Volume momentum (is participation increasing or decreasing?)
• Body expansion (are candle bodies growing or shrinking?)
• Pin alignment (do pins support the trend direction?)
• Contradiction count (how many factors disagree?)
Why:
Not all trends are equal. A trend with consistent volume support, expanding bodies, and aligned pins is healthier than a trend with contradicting signals. The quality score quantifies this.
Benefit:
• HIGH quality (80+): Multiple factors confirm the trend
• MEDIUM quality (60-79): Some factors confirm, some neutral
• LOW quality (below 60): Multiple contradictions exist
• Strength rating based on channel angle: VERY STRONG, STRONG, MODERATE, WEAK
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8. NARRATIVE ENGINE
What it does:
Generates a text-based market analysis by synthesizing all calculated data into readable sentences.
How it works:
1. Analyzes current candle: pattern type (Doji, Hammer, Marubozu, etc.), body/wick ratios, range vs ATR
2. Analyzes composite candle: Block 1 pattern and relationship to Block 2 (Engulfing, Inside, Outside)
3. Evaluates trend context: direction, duration, quality, transitions
4. Examines volume data: delta, dominance, momentum direction
5. Checks proximity to key levels: channel boundaries, POC, core levels
6. Identifies divergences: when price and volume directions contradict
7. Produces a coherent narrative describing the current situation
Why:
Numbers and charts require interpretation. The narrative engine translates calculated data into plain language, helping traders understand what the data means in context. This is especially valuable for beginners learning to read charts.
Benefit:
• Synthesizes multiple data points into a coherent story
• Explicitly flags divergences and contradictions
• Describes the current situation without making predictions
• Educational: shows how different factors relate to each other
What the Narrative Does NOT Do:
The narrative describes what IS, not what WILL BE. It does not predict future price movement. It reports the current candle pattern, the current trend state, the current volume situation, and the current proximity to levels.
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9. SMART DASHBOARD
What it does:
Displays all metrics in an organized table with multiple sections.
Sections:
• Volume Engine: Calculation method, data availability, current candle buy/sell/delta
• Trend Volumetrics: Aggregated buy/sell/delta across the current trend, trend type
• Pressure and Momentum: Average pins, pin change percentages, body expansion status
• Trend Channel Boundaries: Upper/lower levels with exact prices, distances, percentages
• Trend Intelligence: Quality score, confidence level, strength rating, volume momentum
Why:
All the detailed calculations need to live somewhere without cluttering the chart. The dashboard provides comprehensive data in a structured format.
Benefit:
• All metrics in one place
• Organized by category for easy reference
• Hover over any label to see a tooltip explaining that metric
• No need to draw dozens of lines on the chart
TIP: Hover over dashboard headers and labels to see tooltips explaining each metric.
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10. LANGUAGE SUPPORT
The indicator supports three languages:
• English
• Türkçe (Turkish)
• हिन्दी (Hindi)
Why only three languages?
Each additional language requires duplicate strings throughout the code, increasing memory usage and compilation time. To keep the script optimized and responsive, language options are limited to these three.
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11. DATA ACCURACY AND LIMITATIONS
This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations.
DATA ACCURACY LEVELS:
• 1T (Tick): Most accurate, real volume distribution per tick
• 1S (1 Second): Reasonably accurate approximation
• 15S (15 Seconds): Good approximation, longer historical data available
• 1M (1 Minute): Rough approximation, maximum historical data range
BACKTEST AND REPLAY LIMITATIONS:
• Replay mode results may differ from live trading due to data availability
• For longer backtest periods, use higher LTF settings (15S or 1M)
• Not all symbols/exchanges support tick-level data
• Crypto and Forex typically have better LTF data availability than stocks
A NOTE ON DATA ACCESS:
Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable calculations.
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12. SETTINGS OVERVIEW
Main Settings:
• Window Bars: Total bars to analyze
• Group Count: Number of blocks to create
• Calculation Basis: Current bar (live updates) or Closed bar (stable, no repaint)
Block Analytics:
• Show Composite Candle: Toggle ghost candles on/off
• Composite Candle Transparency: Adjust visibility
• Dim Original Candles: Fade original candles when composites are shown
Volume Engine:
• Calculation Method: Geometric (approx) or Intrabar (precise)
• Lower Timeframe: Select LTF for intrabar calculations
Multi-Segment Trend:
• Enable Trend Detection: Toggle trend channels on/off
• Range Angle Threshold: Angle below which trend is classified as RANGE
• Line colors, width, and style
• Project to Future: Extend trend lines forward
Core Calculation:
• Enable Core Calculation: Toggle POC and core levels
• Show POC Nearest Up/Down: Display nearest untested POC levels
• Include MAX/MIN Buy/Sell Levels: Toggle extremes display
• Nearest Only: Show only the closest level above and below price
Market Narrative:
• Enable Market Narrative: Toggle narrative text
• Language selection
• Show Educational Disclaimer: Toggle disclaimer in dashboard
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EDUCATIONAL PURPOSE
This indicator is designed to help traders:
1. Understand their current market situation at a glance
2. Learn chart reading through block analysis and composite candles
3. See how volume relates to price movement
4. Recognize when technical factors align or contradict
5. Focus on meaningful levels without chart clutter
Whether you are a beginner learning to read charts or an experienced trader seeking a cleaner analytical view, this tool provides structured data to support your analysis.
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IMPORTANT DISCLAIMER
This indicator is for EDUCATIONAL PURPOSES ONLY and does not constitute investment advice. Always conduct your own research and consult with a qualified financial advisor before making investment decisions.
This disclaimer is also displayed within the indicator itself. If you prefer a cleaner chart, you can disable it in Settings under Market Narrative by unchecking Show Educational Disclaimer.
Order Blocks INDIBOT 3D | INDIBOT ABO SALTAN 11 //@version=6
indicator("Order Blocks INDIBOT 3D | INDIBOT ABO SALTAN ", overlay = true,
max_boxes_count = 500, max_labels_count = 500, max_lines_count = 500, max_polylines_count = 100, max_bars_back = 5000)
//#region CONSTANTS
// Core constants that control stored OB capacity and label size.
const int MAX_STORED_OBS = 50
const int retestSize = 4
//#endregion
//#region INPUTS
// Core user controls for OB behavior, volume delta, 3D style and alerts.
grpOB = "ORDER BLOCKS"
swingLen = input.int(5, "Swing Length", minval = 1, group = grpOB, inline = "sw", display = display.none)
bullObColor = input.color(color.new(color.teal, 55), "", group = grpOB, inline = "sw")
bearObColor = input.color(color.new(color.red, 55), "", group = grpOB, inline = "sw")
invMethod = input.string("Wick", "Invalidation", options = , group = grpOB, display = display.none)
showNearestX = input.int(3, "Show Nearest", minval = 1, maxval = 20, group = grpOB, display = display.none)
extendZones = input.int(10, "Extend Zones", minval = 0, group = grpOB,
tooltip = "This will extend the zones by X candles.", display = display.none)
showRetestLbl = input.bool(true, "Retest Labels", group = grpOB, inline = "tog")
hideInvalid = input.bool(true, "Hide Invalidated Zones", group = grpOB, inline = "tog")
grpVD = "VOLUME DELTA"
vdEnable = input.bool(true, "Enable", group = grpVD, inline = "vd")
vdBullColor = input.color(color.new(color.teal, 65), "", group = grpVD, inline = "vd")
vdBearColor = input.color(color.new(color.red, 65), "", group = grpVD, inline = "vd")
vd3D = input.bool(true, "3D", group = grpVD, inline = "3d", tooltip = "Adds 3D-style depth faces.") and vdEnable
vd3DDepth = input.int(5, "", group = grpVD, inline = "3d", minval = 1, maxval = 5, display = display.none)
displayStyle = input.string("Vertical", "Display Style", options = , group = grpVD,
tooltip = "Horizontal: split shown top/bottom. Vertical: split shown left/right across the zone.", display = display.none)
vdTfIn = input.timeframe("", "Volume Delta Timeframe", group = grpVD,
tooltip = "Lower timeframe used to estimate delta")
showTotalVol = input.bool(true, "Display Total Volume", group = grpVD,
tooltip = "Displays total volume (Bull+Bear) from the active delta source.", inline = "vd2") and vdEnable
showDeltaPct = input.bool(true, "Show Delta %", group = grpVD, inline = "vd2",
tooltip = "Shows bullish vs bearish volume split. If selected TF is lower than chart TF, uses LTF data; otherwise uses chart TF.") and vdEnable
vdTextColor = input.color(color.white, "", group = grpVD, inline = "vd2")
grpAL = "ALERTS"
alBullOB = input.bool(true, "Bullish Order Block", group = grpAL, inline = "oba")
alBearOB = input.bool(true, "Bearish Order Block", group = grpAL, inline = "oba")
alBullRetest = input.bool(true, "Bullish OB Retest", group = grpAL, inline = "obr")
alBearRetest = input.bool(true, "Bearish OB Retest", group = grpAL, inline = "obr")
//#endregion
//#region TYPES
// Custom structs for order blocks and 3D poly drawing.
type PolyParams
array points
color lineColor
color fillColor
int lineWidth
type ObRec
int leftIndex
int leftTime
int createdIndex
int createdTime
float top
float bottom
bool isBull
bool active
bool retested
int retestIndex
int retestTime
int invalidIndex
int invalidTime
float bullVol
float bearVol
float totalVol
float bullPct
float bearPct
bool hasDelta
type RetestRec
int barIndex
bool isBull
int obLeftIndex
int obCreatedIndex
//#endregion
//#region GENERIC HELPERS
// Small utilities: clearing drawings, geometry helpers, nearest-OB picking.
method clearAll(array bx, array pl, array lb) =>
if bx.size() > 0
for i = 0 to bx.size() - 1
bx.get(i).delete()
bx.clear()
if pl.size() > 0
for i = 0 to pl.size() - 1
pl.get(i).delete()
pl.clear()
if lb.size() > 0
for i = 0 to lb.size() - 1
lb.get(i).delete()
lb.clear()
// Builds a simple side face for 3D-style boxes using chart points.
method sideBox(array pts, int x, float btm, float top, float depthY, int widthX) =>
pts.unshift(chart.point.from_index(x, btm))
pts.unshift(chart.point.from_index(x + widthX, btm + depthY))
pts.unshift(chart.point.from_index(x + widthX, top + depthY))
pts.unshift(chart.point.from_index(x, top))
pts.unshift(chart.point.from_index(x, btm))
// Returns true if a candle's high/low intersects the OB zone.
touchesZone(float zTop, float zBot, float cHigh, float cLow) =>
cHigh >= zBot and cLow <= zTop
// Distance from price to zone in price units, used to rank nearest zones.
zoneDistance(float px, float zTop, float zBot) =>
px > zTop ? px - zTop : px < zBot ? zBot - px : 0.0
// Inserts a distance+index pair into a sorted list, capped at kMax.
method insertBest(array dists, array idxs, float dist, int idx, int kMax) =>
if dists.size() == 0
dists.push(dist)
idxs.push(idx)
else
int pos = dists.size()
if dists.size() > 0
for j = 0 to dists.size() - 1
if dist < dists.get(j)
pos := j
break
dists.insert(pos, dist)
idxs.insert(pos, idx)
while dists.size() > kMax
dists.pop()
idxs.pop()
// Picks the k nearest bull/bear OBs to current price (optionally including invalid).
pickNearest(array store, bool wantBull, int kMax, bool includeInvalid) =>
array dists = array.new_float()
array idxs = array.new_int()
if store.size() > 0
for i = 0 to store.size() - 1
ObRec ob = store.get(i)
if ob.isBull == wantBull
bool ok = includeInvalid ? true : ob.active
if ok
float dist = zoneDistance(close, ob.top, ob.bottom)
dists.insertBest(idxs, dist, i, kMax)
idxs
formatVol(float v) =>
str.tostring(v, format.volume)
//#endregion
//#region VOLUME ENGINE (CHART OR LOWER TF)
// Per-bar total / bull / bear volume
tfSec(string tf) =>
timeframe.in_seconds(tf)
int chartSec = tfSec(timeframe.period)
int srcSec = tfSec(vdTfIn)
bool useLtf = not na(chartSec) and not na(srcSec) and srcSec < chartSec
getBarVols() =>
float tot = na
float bull = na
float bear = na
if not useLtf or vdTfIn == ""
float v = volume
bool up = close > open
bool dn = close < open
tot := v
bull := up ? v : 0.0
bear := dn ? v : 0.0
else
array oArr = request.security_lower_tf(syminfo.tickerid, vdTfIn, open)
array cArr = request.security_lower_tf(syminfo.tickerid, vdTfIn, close)
array vArr = request.security_lower_tf(syminfo.tickerid, vdTfIn, volume)
float tSum = 0.0
float bSum = 0.0
float sSum = 0.0
int n = array.size(vArr)
if n > 0
for i = 0 to n - 1
float v2 = array.get(vArr, i)
float o2 = array.get(oArr, i)
float c2 = array.get(cArr, i)
tSum += v2
if c2 > o2
bSum += v2
else if c2 < o2
sSum += v2
tot := tSum
bull := bSum
bear := sSum
= getBarVols()
//#endregion
//#region POC ENGINE (MOST-TOUCHED PRICE + VOLUME)
// Finds a POC between swing and BOS, then aggregates volume.
findMostTouchedPrice(int fromIdx, int toIdx, int nBins) =>
int span = toIdx - fromIdx
if span <= 0 or na(fromIdx) or na(toIdx)
else
float minP = 1e10
float maxP = -1e10
for idx = fromIdx to toIdx
int rel = bar_index - idx
if rel >= 0
float lo = low
float hi = high
if not na(lo) and not na(hi)
if lo < minP
minP := lo
if hi > maxP
maxP := hi
if not (minP < maxP)
else
float step = (maxP - minP) / nBins
step := step <= 0 ? syminfo.mintick : step
array diffCnt = array.new_float(nBins, 0.0)
for idx = fromIdx to toIdx
int rel2 = bar_index - idx
if rel2 >= 0
float lo2 = low
float hi2 = high
if not na(lo2) and not na(hi2)
int sBin = int(math.floor((lo2 - minP) / step))
int eBin = int(math.floor((hi2 - minP) / step))
sBin := sBin < 0 ? 0 : sBin > nBins - 1 ? nBins - 1 : sBin
eBin := eBin < 0 ? 0 : eBin > nBins - 1 ? nBins - 1 : eBin
float cStart = diffCnt.get(sBin)
diffCnt.set(sBin, cStart + 1.0)
if eBin + 1 < nBins
float cEnd = diffCnt.get(eBin + 1)
diffCnt.set(eBin + 1, cEnd - 1.0)
int bestBin = 0
float bestCnt = 0.0
float runCnt = 0.0
for i = 0 to nBins - 1
runCnt += diffCnt.get(i)
if runCnt > bestCnt
bestCnt := runCnt
bestBin := i
float poc = minP + (bestBin + 0.5) * step
// Aggregates total / bull / bear volume at a single price level (POC) for a range.
volumeAtPrice(int fromIdx, int toIdx, float poc) =>
int touches = 0
float totVol = 0.0
float bullVol = 0.0
float bearVol = 0.0
int span = toIdx - fromIdx
if not na(poc) and span >= 0
for step = 0 to span
int idx = toIdx - step
int rel = bar_index - idx
if rel >= 0
float lo = low
float hi = high
if not na(lo) and not na(hi) and lo <= poc and hi >= poc
touches += 1
float vTot = barTotVol
float vBull = barBullVol
float vBear = barBearVol
if not na(vTot)
totVol += vTot
if not na(vBull)
bullVol += vBull
if not na(vBear)
bearVol += vBear
// Wrapper: find POC first, then compute volume at that POC for the BOS range.
calcMostTouchedPriceVol(int fromIdx, int toIdx, int nBins) =>
= findMostTouchedPrice(fromIdx, toIdx, nBins)
= volumeAtPrice(fromIdx, toIdx, poc)
//#endregion
//#region ORDER BLOCK ENGINE (POC-BASED)
// Detects swing highs/lows, confirms BOS, anchors OB at first POC touch.
var array obs = array.new()
var array obRetests = array.new()
var int lastBullRetestBar = na
var int lastBearRetestBar = na
var float shPrice = na
var int shIdx = na
var float slPrice = na
var int slIdx = na
bool evNewBullOB = false
bool evNewBearOB = false
bool evBullRetest = false
bool evBearRetest = false
float ph = ta.pivothigh(high, swingLen, swingLen)
float pl = ta.pivotlow(low, swingLen, swingLen)
if not na(ph)
shPrice := ph
shIdx := bar_index - swingLen
if not na(pl)
slPrice := pl
slIdx := bar_index - swingLen
bool bosBearNow = not na(slPrice) and bar_index > slIdx and close < slPrice and close >= slPrice
bool bosBullNow = not na(shPrice) and bar_index > shIdx and close > shPrice and close <= shPrice
bool bosBear = bosBearNow
bool bosBull = bosBullNow
// Precompute BOS ranges and POC stats in global scope
int bosIdxBear = bar_index - 1
int fromIdxBear = slIdx
int toIdxBear = bosIdxBear
= calcMostTouchedPriceVol(fromIdxBear, toIdxBear, 40)
int bosIdxBull = bar_index - 1
int fromIdxBull = shIdx
int toIdxBull = bosIdxBull
= calcMostTouchedPriceVol(fromIdxBull, toIdxBull, 40)
// Keeps OB array trimmed to recent history and limits max stored OBs.
pruneObs() =>
int minLeft = math.max(0, bar_index - 4999)
if obs.size() > 0
for i = obs.size() - 1 to 0
ObRec ob = obs.get(i)
if ob.leftIndex < minLeft
obs.remove(i)
while obs.size() > MAX_STORED_OBS
bool removed = false
if obs.size() > 0
for j = obs.size() - 1 to 0
ObRec ob2 = obs.get(j)
if not ob2.active
obs.remove(j)
removed := true
break
if not removed and obs.size() > 0
obs.pop()
// Creates and seeds an OB record using a POC-anchored candle and BOS volumes.
addObFromPoc(int baseIdx, float top, float bottom, bool isBull, float totSeed, float bullSeed, float bearSeed, int createdIdx) =>
int offLeft = bar_index - baseIdx
int offCreated = bar_index - createdIdx
int leftTime = time
int createdTm = time
float tot = totSeed
float bVol = bullSeed
float sVol = bearSeed
bool hasDelta = tot > 0.0
float bullPct = hasDelta ? math.round((bVol / tot) * 100.0) : 50.0
float bearPct = hasDelta ? 100.0 - bullPct : 50.0
obs.unshift(ObRec.new(baseIdx, leftTime, createdIdx, createdTm, top, bottom, isBull,
true, false, na, na, na, na, bVol, sVol, tot, bullPct, bearPct, hasDelta))
pruneObs()
// Returns true if a proposed zone overlaps any active OB
obOverlapsActive(float zoneTop, float zoneBottom) =>
float zTop = math.max(zoneTop, zoneBottom)
float zBot = math.min(zoneTop, zoneBottom)
bool overlaps = false
if obs.size() > 0
for i = 0 to obs.size() - 1
ObRec ob = obs.get(i)
if ob.active
float oTop = math.max(ob.top, ob.bottom)
float oBot = math.min(ob.top, ob.bottom)
bool rangeOverlap = zTop >= oBot and zBot <= oTop
if rangeOverlap
overlaps := true
break
overlaps
// Returns true if there is a price gap between anchorIdx and bosIdx.
hasGapBetween(int anchorIdx, int bosIdx, bool isBull) =>
bool gap = false
int fromIdx = math.min(anchorIdx, bosIdx)
int toIdx = math.max(anchorIdx, bosIdx)
if toIdx - fromIdx >= 1
for absIdx = fromIdx + 1 to toIdx
int relNow = bar_index - absIdx
int relPrev = relNow + 1
if relNow >= 0 and relPrev >= 0
float hiPrev = high
float loPrev = low
float hiNow = high
float loNow = low
if not na(hiPrev) and not na(loPrev) and not na(hiNow) and not na(loNow)
if isBull
if loNow > hiPrev
gap := true
break
else
if hiNow < loPrev
gap := true
break
gap
// Bearish BOS → Bearish OB
if bosBear
int bosIdx = bosIdxBear
int fromIdx = fromIdxBear
int toIdx = toIdxBear
if not na(pocB) and touchesB > 0 and not na(fromIdx) and not na(toIdx)
int spanB = toIdx - fromIdx
int bestIdx = na
float runMaxHigh = na
if spanB >= 0
for step = 0 to spanB
int idx = toIdx - step
int rel = bar_index - idx
if rel >= 0
float lo = low
float hi = high
if not na(lo) and not na(hi)
runMaxHigh := na(runMaxHigh) ? hi : math.max(runMaxHigh, hi)
bool touches = lo <= pocB and hi >= pocB
if touches and hi == runMaxHigh
bestIdx := idx
bool gapLeg = not na(bestIdx) ? hasGapBetween(bestIdx, bosIdx, false) : false
if not na(bestIdx) and not gapLeg
int relBest = bar_index - bestIdx
float top = high
float bottom = low
if not obOverlapsActive(top, bottom)
addObFromPoc(bestIdx, top, bottom, false, totVolB, bullVolB, bearVolB, bosIdx)
evNewBearOB := true
slPrice := na
slIdx := na
// Bullish BOS → Bullish OB
if bosBull
int bosIdx2 = bosIdxBull
int fromIdx2 = fromIdxBull
int toIdx2 = toIdxBull
if not na(pocH) and touchesH > 0 and not na(fromIdx2) and not na(toIdx2)
int spanH = toIdx2 - fromIdx2
int bestIdx2 = na
float runMinLow = na
if spanH >= 0
for step = 0 to spanH
int idx2 = toIdx2 - step
int rel2 = bar_index - idx2
if rel2 >= 0
float lo2 = low
float hi2 = high
if not na(lo2) and not na(hi2)
runMinLow := na(runMinLow) ? lo2 : math.min(runMinLow, lo2)
bool touches = lo2 <= pocH and hi2 >= pocH
if touches and lo2 == runMinLow
bestIdx2 := idx2
bool gapLeg2 = not na(bestIdx2) ? hasGapBetween(bestIdx2, bosIdx2, true) : false
if not na(bestIdx2) and not gapLeg2
int relBest2 = bar_index - bestIdx2
float top2 = high
float bottom2 = low
if not obOverlapsActive(top2, bottom2)
addObFromPoc(bestIdx2, top2, bottom2, true, totVolH, bullVolH, bearVolH, bosIdx2)
evNewBullOB := true
shPrice := na
shIdx := na
// Invalidation and retest detection for existing OBs.
if obs.size() > 0
for i = 0 to obs.size() - 1
ObRec ob = obs.get(i)
if ob.active
bool invalid = false
int invIdx = na
int invTime = na
if ob.isBull
if invMethod == "Wick"
invalid := low < ob.bottom
invIdx := bar_index
invTime := time
else
if bar_index > 0
invalid := close < ob.bottom
invIdx := bar_index - 1
invTime := time
else
if invMethod == "Wick"
invalid := high > ob.top
invIdx := bar_index
invTime := time
else
if bar_index > 0
invalid := close > ob.top
invIdx := bar_index - 1
invTime := time
if invalid
ob.active := false
ob.invalidIndex := invIdx
ob.invalidTime := invTime
bool retestPrev = false
int retestBar = na
int retestTm = na
if bar_index > 0
if ob.isBull
bool opensAbovePrev = open > ob.top
bool closesAbovePrev = close > ob.top
bool wickTouchesPrev = low <= ob.top and low >= ob.bottom
retestPrev := opensAbovePrev and closesAbovePrev and wickTouchesPrev
else
bool opensBelowPrev = open < ob.bottom
bool closesBelowPrev = close < ob.bottom
bool wickTouchesPrev = high >= ob.bottom and high <= ob.top
retestPrev := opensBelowPrev and closesBelowPrev and wickTouchesPrev
if retestPrev
retestBar := bar_index - 1
retestTm := time
if retestPrev and not na(retestBar) and retestBar > ob.createdIndex
ob.retested := true
ob.retestIndex := retestBar
ob.retestTime := retestTm
int lastSideBar = ob.isBull ? lastBullRetestBar : lastBearRetestBar
bool canLog = na(lastSideBar) or retestBar - lastSideBar >= 4
if canLog
obRetests.unshift(RetestRec.new(retestBar, ob.isBull, ob.leftIndex, ob.createdIndex))
if ob.isBull
evBullRetest := true
lastBullRetestBar := retestBar
else
evBearRetest := true
lastBearRetestBar := retestBar
obs.set(i, ob)
//#endregion
//#region DRAW ENGINE (ZONES + VOLUME + 3D)
// Handles all boxes, polylines and labels for OBs and 3D faces.
bool showVD = vdEnable
bool isVert = displayStyle == "Vertical"
bool isHorz = not isVert
float dayAtr = ta.atr(14)
var array allBoxes = array.new()
var array allPolys = array.new()
var array allLabels = array.new()
drawPoly(PolyParams pp) =>
if not na(pp) and not na(pp.points) and pp.points.size() > 0
allPolys.unshift(polyline.new(points = pp.points, line_color = pp.lineColor, fill_color = pp.fillColor))
method pushBox(array store, box b) =>
store.unshift(b)
method pushLabel(array store, label l) =>
store.unshift(l)
// Chooses base colors for OB zones depending on vdEnable and bull/bear type.
obColors(ObRec ob) =>
color bullCol = vdEnable ? vdBullColor : bullObColor
color bearCol = vdEnable ? vdBearColor : bearObColor
color baseCol = ob.isBull ? bullCol : bearCol
color faded = ob.active ? baseCol : color.new(baseCol, 85)
// Computes right-most bar index for drawing an OB, considering extension and invalidation.
obRightIndex(ObRec ob) =>
int activeRight = bar_index + extendZones
if ob.active
activeRight
else
na(ob.invalidIndex) ? activeRight : ob.invalidIndex
// Draws the main OB zone box on the chart.
drawObZoneBox(ObRec ob, color faded) =>
int xR = obRightIndex(ob)
int xL = ob.leftIndex
int minBar = bar_index - 4999
if xL < minBar
xL := minBar
xR := math.max(xR, xL)
box bx = box.new(left = xL, right = xR, top = ob.top, bottom = ob.bottom, xloc = xloc.bar_index, bgcolor = faded, border_color = na, border_width = 0)
allBoxes.pushBox(bx)
// Draws a retest marker (triangle) when price revisits an OB.
drawRetestLabels(array bullAct, array bearAct, array bullInv, array bearInv) =>
int ret = 0
if showRetestLbl and obRetests.size() > 0
int minBar = bar_index - 4999
int lastBullLbl = na
int lastBearLbl = na
for i = obRetests.size() - 1 to 0
RetestRec r = obRetests.get(i)
if r.barIndex < minBar or r.barIndex > bar_index
RetestRec _trash = obRetests.remove(i)
else
bool hasDisplayedParent = false
if r.isBull
if bullAct.size() > 0
for j = 0 to bullAct.size() - 1
ObRec ob = obs.get(bullAct.get(j))
if ob.leftIndex == r.obLeftIndex and ob.createdIndex == r.obCreatedIndex
hasDisplayedParent := true
break
if not hasDisplayedParent and not hideInvalid and bullInv.size() > 0
for j = 0 to bullInv.size() - 1
ObRec ob = obs.get(bullInv.get(j))
if ob.leftIndex == r.obLeftIndex and ob.createdIndex == r.obCreatedIndex
hasDisplayedParent := true
break
else
if bearAct.size() > 0
for j = 0 to bearAct.size() - 1
ObRec ob = obs.get(bearAct.get(j))
if ob.leftIndex == r.obLeftIndex and ob.createdIndex == r.obCreatedIndex
hasDisplayedParent := true
break
if not hasDisplayedParent and not hideInvalid and bearInv.size() > 0
for j = 0 to bearInv.size() - 1
ObRec ob = obs.get(bearInv.get(j))
if ob.leftIndex == r.obLeftIndex and ob.createdIndex == r.obCreatedIndex
hasDisplayedParent := true
break
if not hasDisplayedParent
continue
int age = bar_index - r.barIndex
if age >= 0 and age <= 4999
if r.isBull
if not na(lastBullLbl) and r.barIndex - lastBullLbl < 3
continue
lastBullLbl := r.barIndex
else
if not na(lastBearLbl) and r.barIndex - lastBearLbl < 3
continue
lastBearLbl := r.barIndex
float yPrice = close
color baseCol = r.isBull ? bullObColor : bearObColor
st = r.isBull ? label.style_triangleup : label.style_triangledown
yl = r.isBull ? yloc.belowbar : yloc.abovebar
label newLbl = label.new(r.barIndex, yPrice, "", xloc = xloc.bar_index, yloc = yl, style = st,
color = color.new(baseCol, 0), textcolor = color.new(baseCol, 0), size = retestSize, force_overlay = true)
allLabels.pushLabel(newLbl)
ret
// Returns geometry used for volume overlay and 3D top view.
obGeom(ObRec ob) =>
int rawL = ob.leftIndex
int rawR = obRightIndex(ob)
int minBar = bar_index - 4999
int xL = math.max(rawL, minBar)
int xR = math.max(rawR, xL)
int widthX = vd3DDepth
int xR2 = xR + widthX
float yT = ob.top
float yB = ob.bottom
float h = yT - yB
// Converts bull/bear percentages into display strings (if enabled).
deltaTexts(float bullPct, float bearPct) =>
string bullTxt = showDeltaPct ? str.tostring(bullPct) + "%" : ""
string bearTxt = showDeltaPct ? str.tostring(bearPct) + "%" : ""
// Draws a text label with total volume on the right-bottom corner of the OB.
drawTotalVolLabel(int xL, int xR, float yT, float yB, float h, float total) =>
if showTotalVol
int cx = xR - 1
if cx < xL
cx := xL
float cy = yB + h * 0.25
string txt = formatVol(total)
label lb = label.new(cx, cy, txt, xloc = xloc.bar_index, style = label.style_label_right,
textcolor = vdTextColor, color = #ffffff00, size = size.small, force_overlay = true)
allLabels.pushLabel(lb)
// Fills the OB with bull/bear split either vertically or horizontally.
drawDeltaFills(int xL, int xR, float yT, float yB, float h, float bullPct, string bullTxt, string bearTxt) =>
color bullCol = vdEnable ? vdBullColor : bullObColor
color bearCol = vdEnable ? vdBearColor : bearObColor
if isVert
int splitX = xL + int((xR - xL) * (bullPct / 100.0))
splitX := xR - xL >= 2 ? math.max(xL + 1, math.min(xR - 1, splitX)) : xL
box bBull = box.new(xL, yT, splitX, yB, xloc = xloc.bar_index, bgcolor = bullCol, border_width = 0, text = bullTxt, text_color = vdTextColor, text_size = size.small)
box bBear = box.new(splitX, yT, xR, yB, xloc = xloc.bar_index, bgcolor = bearCol, border_width = 0, text = bearTxt, text_color = vdTextColor, text_size = size.small)
allBoxes.pushBox(bBull)
allBoxes.pushBox(bBear)
else
float midY = yB + h * (bullPct / 100.0)
box bBull = box.new(xL, midY, xR, yB, xloc = xloc.bar_index, bgcolor = bullCol, border_width = 0, text = bullTxt, text_color = vdTextColor, text_size = size.small)
box bBear = box.new(xL, yT, xR, midY, xloc = xloc.bar_index, bgcolor = bearCol, border_width = 0, text = bearTxt, text_color = vdTextColor, text_size = size.small)
allBoxes.pushBox(bBull)
allBoxes.pushBox(bBear)
// Track first visible bar index for 3D top face clipping.
var int leftVisIdx = na
if na(leftVisIdx) and time >= chart.left_visible_bar_time
leftVisIdx := bar_index
// Draws the 3D front faces and top faces based on bull/bear split and style.
drawDelta3D(int xL, int xR, int widthX, int xR2, float yT, float yB, float h, float bullPct) =>
color bullCol = vdEnable ? vdBullColor : bullObColor
color bearCol = vdEnable ? vdBearColor : bearObColor
float depthY = dayAtr * (0.1 * vd3DDepth)
int visibleLeft = na(leftVisIdx) ? xL : math.max(xL, leftVisIdx)
int visibleRight = xR
if isHorz
float midY = yB + h * (bullPct / 100.0)
if bullPct > 0
array ptsFrontBull = array.new()
ptsFrontBull.sideBox(xR, yB, midY, depthY, widthX)
drawPoly(PolyParams.new(ptsFrontBull, color.new(chart.fg_color, 90), color.new(bullCol, 70), 1))
if bullPct < 100
array ptsFrontBear = array.new()
ptsFrontBear.sideBox(xR, midY, yT, depthY, widthX)
drawPoly(PolyParams.new(ptsFrontBear, color.new(chart.fg_color, 90), color.new(bearCol, 70), 1))
if visibleRight > visibleLeft
array ptsTop = array.new()
ptsTop.unshift(chart.point.from_index(visibleRight + widthX, yT + depthY))
ptsTop.unshift(chart.point.from_index(visibleLeft + widthX, yT + depthY))
ptsTop.unshift(chart.point.from_index(visibleLeft, yT))
ptsTop.unshift(chart.point.from_index(visibleRight, yT))
ptsTop.unshift(chart.point.from_index(visibleRight + widthX, yT + depthY))
drawPoly(PolyParams.new(ptsTop, color.new(chart.fg_color, 90), color.new(bearCol, 70), 1))
else
array ptsFront = array.new()
ptsFront.sideBox(xR, yB, yT, depthY, widthX)
drawPoly(PolyParams.new(ptsFront, color.new(chart.fg_color, 90), color.new(bearCol, 70), 1))
if visibleRight > visibleLeft
float frac = bullPct / 100.0
int bullRight = visibleLeft + int((visibleRight - visibleLeft) * frac)
bullRight := math.max(visibleLeft, math.min(visibleRight, bullRight))
if bullPct > 0 and bullRight > visibleLeft
array ptsTopBull = array.new()
ptsTopBull.unshift(chart.point.from_index(bullRight + widthX, yT + depthY))
ptsTopBull.unshift(chart.point.from_index(visibleLeft + widthX, yT + depthY))
ptsTopBull.unshift(chart.point.from_index(visibleLeft, yT))
ptsTopBull.unshift(chart.point.from_index(bullRight, yT))
ptsTopBull.unshift(chart.point.from_index(bullRight + widthX, yT + depthY))
drawPoly(PolyParams.new(ptsTopBull, color.new(chart.fg_color, 90), color.new(bullCol, 70), 1))
if bullPct < 100 and visibleRight > bullRight
array ptsTopBear = array.new()
ptsTopBear.unshift(chart.point.from_index(visibleRight + widthX, yT + depthY))
ptsTopBear.unshift(chart.point.from_index(bullRight + widthX, yT + depthY))
ptsTopBear.unshift(chart.point.from_index(bullRight, yT))
ptsTopBear.unshift(chart.point.from_index(visibleRight, yT))
ptsTopBear.unshift(chart.point.from_index(visibleRight + widthX, yT + depthY))
drawPoly(PolyParams.new(ptsTopBear, color.new(chart.fg_color, 90), color.new(bearCol, 70), 1))
// Draws a full OB: zone, retest label, volume fill and 3D faces.
drawZoneAndVolume(ObRec ob) =>
= obColors(ob)
drawObZoneBox(ob, faded)
if showVD and ob.hasDelta
= obGeom(ob)
= deltaTexts(ob.bullPct, ob.bearPct)
drawTotalVolLabel(xL, xR, yT, yB, h, ob.totalVol)
drawDeltaFills(xL, xR, yT, yB, h, ob.bullPct, bullTxt, bearTxt)
if vd3D
drawDelta3D(xL, xR, widthX, xR2, yT, yB, h, ob.bullPct)
true
// Clear all previous drawings each bar before re-rendering current selection.
allBoxes.clearAll(allPolys, allLabels)
// Pick active and invalid OBs based on hideInvalid + showNearestX.
array bullActive = array.new_int()
array bearActive = array.new_int()
array bullInvalid = array.new_int()
array bearInvalid = array.new_int()
if hideInvalid
bullActive := pickNearest(obs, true, showNearestX, false)
bearActive := pickNearest(obs, false, showNearestX, false)
else
bullActive := pickNearest(obs, true, showNearestX, false)
bearActive := pickNearest(obs, false, showNearestX, false)
if obs.size() > 0
for i = 0 to obs.size() - 1
ObRec o = obs.get(i)
if not o.active
if o.isBull
bullInvalid.push(i)
else
bearInvalid.push(i)
if bearInvalid.size() > 0 and not hideInvalid
for i = 0 to bearInvalid.size() - 1
ObRec ob = obs.get(bearInvalid.get(i))
drawZoneAndVolume(ob)
if bearActive.size() > 0
for i = 0 to bearActive.size() - 1
ObRec ob = obs.get(bearActive.get(i))
drawZoneAndVolume(ob)
if bullInvalid.size() > 0 and not hideInvalid
for i = 0 to bullInvalid.size() - 1
ObRec ob = obs.get(bullInvalid.get(i))
drawZoneAndVolume(ob)
if bullActive.size() > 0
for i = 0 to bullActive.size() - 1
ObRec ob = obs.get(bullActive.get(i))
drawZoneAndVolume(ob)
// Draw all stored retest events on top of zones
drawRetestLabels(bullActive, bearActive, bullInvalid, bearInvalid)
//#endregion
//#region ALERTS
alertcondition(alBullOB and evNewBullOB, "Bullish Order Block", "New Bullish Order Block detected.")
alertcondition(alBearOB and evNewBearOB, "Bearish Order Block", "Bearish Order Block detected.")
alertcondition(alBullRetest and evBullRetest, "Bullish OB Retest", "Bullish Order Block retest.")
alertcondition(alBearRetest and evBearRetest, "Bearish OB Retest", "Bearish Order Block retest.")
if alBullOB and evNewBullOB
alert("Bullish Order Block detected.", alert.freq_once_per_bar)
if alBearOB and evNewBearOB
alert("Bearish Order Block detected.", alert.freq_once_per_bar)
if alBullRetest and evBullRetest
alert("Bullish Order Block retest.", alert.freq_once_per_bar)
if alBearRetest and evBearRetest
alert("Bearish Order Block retest.", alert.freq_once_per_bar)
// ==========================================================================================
// === Dashboard with Telegram Link ===
var table myTable = table.new(position.top_center, 1, 1, border_width=1, frame_color=color.black, bgcolor=color.white)
// Add Telegram Message to Dashboard
table.cell(myTable, 0, 0, "Join Telegram @STRATEGY INDIBOT", bgcolor=color.blue, text_color=color.white, text_size=size.normal)
HADYAN NEW SCALPING V 2.9//@version=5
indicator(title='HADYAN NEW SCALPING V 2.9', overlay=true, max_lines_count=500, max_labels_count=500, max_boxes_count=500)
// ====================================================================================================
// BAGIAN 1: PENGATURAN UTAMA & LOGIKA INTI
// ====================================================================================================
styleGroup = 'Gaya Trading (Trading Style)'
tradingStyle = input.string('Mencuri Profit', title='Pilih Gaya Trading', options= , group=styleGroup)
// --- FITUR ANTI-KEDIP ---
useConfirmedBar = input.bool(true, title='✅ Sinyal Anti-Kedip (Tunggu Close)?', group=styleGroup)
a_custom = input.float(1.0, title='Key Value (Custom)', group=styleGroup)
c_custom = input.int(10, title='ATR Period (Custom)', group=styleGroup)
var float a = 1.0
var int c = 10
// Variabel filter internal
var bool _useEmaFilter = false
var bool _useRsiFilter = false
var bool _useCandleFilter = false
var bool _useVolumeFilter = false
var bool _useAdxFilter = false
var bool _useSnrFilter = false
miscGroup = 'Pengaturan Filter (Tanpa Ghost)'
waspadaFactor = input.float(0.75, title='Waspada - Faktor Jarak ATR', group=miscGroup)
tamakFactor = input.float(3.0, title='Jangan Tamak - Faktor Jarak ATR', group=miscGroup)
// --- FILTER TREN (EMA) ---
useEmaFilter = input.bool(false, title='Gunakan Filter Tren EMA Cross?', group=miscGroup)
emaFastLen = input.int(21, title='Periode EMA Cepat', group=miscGroup)
emaSlowLen = input.int(50, title='Periode EMA Lambat', group=miscGroup)
mtfTimeframe = input.string('15', title='Timeframe MTF', group=miscGroup)
// --- FILTER MOMENTUM ---
useRsiFilter = input.bool(false, title='Gunakan Filter Momentum RSI?', group=miscGroup)
rsiFilterLen = input.int(14, title='Periode RSI', group=miscGroup)
rsiBuyLevel = input.float(50.0, title='RSI Buy Level (Min)', group=miscGroup)
rsiSellLevel = input.float(50.0, title='RSI Sell Level (Max)', group=miscGroup)
rsiReversalLevel = input.float(70.0, title='RSI Reversal Level (70/30)', group=miscGroup)
// --- FILTER LAIN ---
useCandleFilter = input.bool(false, title='Gunakan Filter Pola Candlestick?', group=miscGroup)
useVolumeFilter = input.bool(false, title='Gunakan Filter Volume?', group=miscGroup)
volumeLen = input.int(20, title='Periode Volume MA', group=miscGroup)
volumeThreshold = input.float(0.3, title='Min. Volume Factor', group=miscGroup)
// --- FILTER SNR ---
useSnrFilter = input.bool(false, title='Gunakan Filter Support/Resistance (SNR)?', group=miscGroup)
snrLookback = input.int(10, title='Pivot Lookback (SNR)', group=miscGroup)
snrDistanceFactor = input.float(2.0, title='Jarak Max ke S/R (xATR)', group=miscGroup)
// --- FILTER ADX ---
useAdxFilter = input.bool(false, title='Gunakan Filter Kondisi Pasar (ADX)?', group=miscGroup)
adxLen = input.int(14, title='Periode ADX', group=miscGroup)
adxMinLevel = input.float(15.0, title='ADX Min. Level', group=miscGroup)
// ** PENGATURAN MANAJEMEN RISIKO **
riskGroup = 'Manajemen Risiko'
useAutoBreakeven = input.bool(true, title='Gunakan Auto Breakeven?', group=riskGroup)
breakevenFactor = input.float(1.0, title='Breakeven Factor (Dalam R/ATR)', group=riskGroup)
// ==============================================
// --- INPUT FITUR TAMBAHAN ---
// ==============================================
meterGroup = 'Visual & Tambahan'
showCandlePanel = input.bool(true, title='Tampilkan Panel Info Candle?', group=meterGroup)
showCandleArrows = input.bool(false, title='Tampilkan Panah Tiap Candle?', group=meterGroup)
// ==============================================
// --- FITUR UPGRADE ---
// ==============================================
upgradeGroup = '🔥 Fitur Upgrade'
useConfirmFilter = input.bool(false, title=' Gunakan Konfirmasi Momentum (MidPoint)?', group=upgradeGroup)
useReversalExit = input.bool(false, title=' Gunakan Exit Cepat (Candle Pembalikan)?', group=upgradeGroup)
showReEntry = input.bool(true, title=' Tampilkan Sinyal Re-Entry (Add Position)?', group=upgradeGroup)
showAggressiveEMA = input.bool(false, title=' Tampilkan Sinyal Agresif (EMA Bounce)?', group=upgradeGroup)
emaAggressiveFastLen = input.int(9, title=' EMA Cepat (Agresif)', group=upgradeGroup)
emaAggressiveSlowLen = input.int(21, title=' EMA Lambat (Agresif)', group=upgradeGroup)
useBBTamak = input.bool(false, title=' Gunakan Target Profit Dinamis (BB)?', group=upgradeGroup)
bbLen = input.int(20, title=' Periode Bollinger Bands', group=upgradeGroup)
bbStdDev = input.float(2.0, title=' Deviasi Bollinger Bands', group=upgradeGroup)
showDashboard = input.bool(true, title=' Tampilkan Dashboard Pro?', group=upgradeGroup)
showAdvisorBubble = input.bool(true, title=' Tampilkan Gelembung Advisor di Chart?', group=upgradeGroup)
// --- BARU: ZONE INPUT ---
showSmartZones = input.bool(true, title=' Tampilkan Zona Buy/Sell (Supply/Demand)?', group=upgradeGroup)
zoneLookback = input.int(5, title=' Kekuatan Zona (Lookback Pivot)', group=upgradeGroup)
// ====================================================================================================
// BAGIAN UPGRADE: PIVOT, FIBO & STOCHASTIC (NEW)
// ====================================================================================================
pivotGroup = "Pivot, Fibo & Stoch (UPGRADE)"
// Pivot Inputs
showPivotPoints = input.bool(true, title='Tampilkan Daily Pivot (R1-S2)?', group=pivotGroup)
pivotColor = input.color(color.new(color.orange, 0), "Warna Garis Pivot Utama", group=pivotGroup)
// Fibo Inputs
showFiboLevels = input.bool(true, title='Tampilkan Fibo Retracement (CLEAN)?', group=pivotGroup)
fiboXOffset = input.int(10, title='Geser Fibo (X-Offset)', group=pivotGroup)
// Stochastic Inputs
showStochChart = input.bool(true, title='Tampilkan MINI CHART Stochastic (Realtime)?', group=pivotGroup)
stochWidth = input.int(30, title='Lebar Chart (Bars)', minval=10, maxval=100, group=pivotGroup)
// ==============================================
// --- DEKLARASI VAR GLOBAL ---
// ==============================================
var table infoPanel_m = table.new(position.bottom_center, 3, 2, border_width = 1, bgcolor = color.new(#363a45, 0))
var string finalDir_m = ""
var table dashboardPanel = table.new(position.top_right, 2, 10, border_width = 1, bgcolor = color.new(#363a45, 80))
var int rsiLen_actual = rsiFilterLen
var int adxLen_actual = adxLen
var string marketModeText = "..."
var color marketModeColor = color.gray
// ==============================================
// --- LOGIKA PEMILIHAN GAYA (ADAPTIF) ---
// ==============================================
if tradingStyle == 'Mencuri Profit'
a := 1.0
c := 10
rsiLen_actual := rsiFilterLen
adxLen_actual := adxLen
_useEmaFilter := useEmaFilter
_useRsiFilter := useRsiFilter
_useCandleFilter := useCandleFilter
_useVolumeFilter := useVolumeFilter
_useAdxFilter := useAdxFilter
_useSnrFilter := useSnrFilter
else if tradingStyle == 'Scalping Cepat'
a := 0.8
c := 8
rsiLen_actual := 7
adxLen_actual := 10
_useEmaFilter := useEmaFilter
_useRsiFilter := useRsiFilter
_useCandleFilter := useCandleFilter
_useVolumeFilter := useVolumeFilter
_useAdxFilter := useAdxFilter
_useSnrFilter := useSnrFilter
else if tradingStyle == 'Swing Santai'
a := 2.0
c := 15
rsiLen_actual := 21
adxLen_actual := 20
_useEmaFilter := useEmaFilter
_useRsiFilter := useRsiFilter
_useCandleFilter := useCandleFilter
_useVolumeFilter := useVolumeFilter
_useAdxFilter := useAdxFilter
_useSnrFilter := useSnrFilter
else if tradingStyle == 'Sangat Akurat'
a := 2.0
c := 15
rsiLen_actual := 21
adxLen_actual := 20
_useEmaFilter := true
_useRsiFilter := true
_useCandleFilter := true
_useVolumeFilter := true
_useAdxFilter := true
_useSnrFilter := true
else if tradingStyle == 'Custom'
a := a_custom
c := c_custom
rsiLen_actual := rsiFilterLen
adxLen_actual := adxLen
_useEmaFilter := useEmaFilter
_useRsiFilter := useRsiFilter
_useCandleFilter := useCandleFilter
_useVolumeFilter := useVolumeFilter
_useAdxFilter := useAdxFilter
_useSnrFilter := useSnrFilter
// ==============================================
// --- LOGIKA INTI & PERHITUNGAN FILTER ---
// ==============================================
xATR = ta.atr(c)
nLoss = a * xATR
src = close
// --- FILTER TREN ---
emaFast = ta.ema(src, emaFastLen)
emaSlow = ta.ema(src, emaSlowLen)
bool emaCrossOkForBuy = close > emaSlow and emaFast > emaSlow
bool emaCrossOkForSell = close < emaSlow and emaFast < emaSlow
// OPTIMIZED: Added gaps parameter to avoid repainting on historical data
emaMtf = request.security(syminfo.tickerid, mtfTimeframe, emaSlow , lookahead = barmerge.lookahead_off)
bool mtfOkForBuy_ori = close > emaMtf
bool mtfOkForSell_ori = close < emaMtf
bool emaOkForBuy = not _useEmaFilter or (tradingStyle == 'Sangat Akurat' ? mtfOkForBuy_ori : emaCrossOkForBuy)
bool emaOkForSell = not _useEmaFilter or (tradingStyle == 'Sangat Akurat' ? mtfOkForSell_ori : emaCrossOkForSell)
// --- FILTER MOMENTUM ---
rsiFilter = ta.rsi(src, rsiLen_actual)
bool rsiOkForBuy = not _useRsiFilter or rsiFilter > rsiBuyLevel
bool rsiOkForSell = not _useRsiFilter or rsiFilter < rsiSellLevel
// --- FILTER CANDLE & VOLUME ---
bool bullishEngulfing = (close > open and close < open and close > open and open < close )
bool bearishEngulfing = (close < open and close > open and close < open and open > close )
bool candleOkForBuy = not _useCandleFilter or bullishEngulfing
bool candleOkForSell = not _useCandleFilter or bearishEngulfing
avgVolume = ta.sma(volume, volumeLen)
bool volumeOkForBuy = not _useVolumeFilter or (volume > avgVolume * volumeThreshold)
bool volumeOkForSell = not _useVolumeFilter or (volume > avgVolume * volumeThreshold)
// --- FILTER SNR ---
pivotHigh = ta.pivothigh(high, snrLookback, snrLookback)
pivotLow = ta.pivotlow(low, snrLookback, snrLookback)
float nearestResistance = ta.valuewhen(not na(pivotHigh), pivotHigh, 0)
float nearestSupport = ta.valuewhen(not na(pivotLow), pivotLow, 0)
float snrDistance = xATR * snrDistanceFactor
bool nearResistance = math.abs(high - nearestResistance) < snrDistance and high > nearestResistance
bool nearSupport = math.abs(low - nearestSupport) < snrDistance and low < nearestSupport
bool snrOkForBuy = not _useSnrFilter or not nearResistance
bool snrOkForSell = not _useSnrFilter or not nearSupport
// --- FILTER ADX ---
= ta.dmi(adxLen_actual, adxLen_actual)
bool adxMarketOk = not _useAdxFilter or adxValue > adxMinLevel
bool adxDirectionOkForBuy = adxMarketOk and diPlus > diMinus
bool adxDirectionOkForSell = adxMarketOk and diMinus > diPlus
bool adxOkForBuy = not _useAdxFilter or adxDirectionOkForBuy
bool adxOkForSell = not _useAdxFilter or adxDirectionOkForSell
// ==============================================
// --- LOGIKA UPGRADE 1 ---
// ==============================================
float prevMidPoint = (high + low ) / 2
bool confirmOkForBuy = not useConfirmFilter or (close > prevMidPoint)
bool confirmOkForSell = not useConfirmFilter or (close < prevMidPoint)
// ==============================================
// --- LOGIKA CANDLE ---
// ==============================================
bool isBullishEngulfing_m = close > open and close < open and close >= open and open <= close
bool isBearishEngulfing_m = close < open and close > open and close <= open and open >= close
bool isHammer_m = (high - low) > 3 * math.abs(open - close) and ((close - low) / (0.001 + high - low)) > 0.6
bool isInvertedHammer_m = (high - low) > 3 * math.abs(open - close) and ((high - close) / (0.001 + high - low)) > 0.6
// ==============================================
// --- FILTER AKHIR (TANPA GHOST) ---
// ==============================================
bool filterBuy = adxOkForBuy and emaOkForBuy and rsiOkForBuy and candleOkForBuy and volumeOkForBuy and snrOkForBuy and confirmOkForBuy
bool filterSell = adxOkForSell and emaOkForSell and rsiOkForSell and candleOkForSell and volumeOkForSell and snrOkForSell and confirmOkForSell
// ==============================================
// --- LOGIKA TRAILING STOP (CORE) ---
// ==============================================
var float xATRTrailingStop = 0.0
iff_1 = src > nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss
iff_2 = src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? math.min(nz(xATRTrailingStop ), src + nLoss) : iff_1
xATRTrailingStop := src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? math.max(nz(xATRTrailingStop ), src - nLoss) : iff_2
// --- KONDISI CROSS MENTAH (REALTIME) ---
bool crossUp_Raw = src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0)
bool crossDown_Raw = src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0)
// ==============================================
// --- LOGIKA SINYAL (ANTI-KEDIP IMPLEMENTATION) ---
// ==============================================
// Variabel Posisi (State)
var int pos = 0
var float entryPrice = na
var float entryNloss = na
bool buySignal = false
bool sellSignal = false
// >> JANTUNG ANTI-KEDIP <<
if useConfirmedBar
// Cek Candle Kemarin . Jika kemarin valid, sinyal muncul SEKARANG (permanen).
bool crossUp_Prev = close < nz(xATRTrailingStop , 0) and close > nz(xATRTrailingStop , 0)
bool crossDown_Prev = close > nz(xATRTrailingStop , 0) and close < nz(xATRTrailingStop , 0)
// Gunakan filter dari bar sebelumnya agar konsisten
buySignal := crossUp_Prev and filterBuy
sellSignal := crossDown_Prev and filterSell
else
// Mode realtime (Risiko kedap-kedip)
buySignal := crossUp_Raw and filterBuy
sellSignal := crossDown_Raw and filterSell
// --- EKSEKUSI POSISI ---
// Cek Exit
bool closePositionBySL = (nz(pos ) == 1 and src < xATRTrailingStop) or (nz(pos ) == -1 and src > xATRTrailingStop)
bool reversalExitBuy = nz(pos ) == 1 and isBearishEngulfing_m
bool reversalExitSell = nz(pos ) == -1 and isBullishEngulfing_m
bool reversalCandleExit = useReversalExit and (reversalExitBuy or reversalExitSell)
bool exitSignal = closePositionBySL or reversalCandleExit
int newPos = nz(pos )
if buySignal
newPos := 1
else if sellSignal
newPos := -1
else if exitSignal
newPos := 0
pos := newPos
bool posOpen = pos != 0
// Update Entry Price
if buySignal or sellSignal
if useConfirmedBar
entryPrice := open
entryNloss := nLoss
else
entryPrice := src
entryNloss := nLoss
else if pos == 0
entryPrice := na
entryNloss := na
// --- LOGIKA ADD BUY / ADD SELL (SMART SNIPER V3.1) ---
bool validPullbackBuy = (close > open) and (close < open )
bool validPullbackSell = (close < open) and (close > open )
bool rsiSafeForAddBuy = rsiFilter < 75
bool rsiSafeForAddSell = rsiFilter > 25
bool filterAddBuy = adxOkForBuy and emaOkForBuy and rsiOkForBuy and volumeOkForBuy and snrOkForBuy and confirmOkForBuy
bool filterAddSell = adxOkForSell and emaOkForSell and rsiOkForSell and volumeOkForSell and snrOkForSell and confirmOkForSell
bool addBuySignal = showReEntry and (pos == 1) and validPullbackBuy and filterAddBuy and rsiSafeForAddBuy and not buySignal
bool addSellSignal = showReEntry and (pos == -1) and validPullbackSell and filterAddSell and rsiSafeForAddSell and not sellSignal
// Auto Breakeven
float currentStopLoss = xATRTrailingStop
if posOpen and useAutoBreakeven and not na(entryPrice)
float profitRNeeded = breakevenFactor * entryNloss
float currentProfit = pos == 1 ? (src - entryPrice) : (entryPrice - src)
if currentProfit >= profitRNeeded
float breakevenLevel = entryPrice
if pos == 1
if breakevenLevel > currentStopLoss
currentStopLoss := breakevenLevel
else // pos == -1
if breakevenLevel < currentStopLoss
currentStopLoss := breakevenLevel
xATRTrailingStopAdj = posOpen ? currentStopLoss : xATRTrailingStop
// ==============================================
// --- ALASAN BLOKIR (VISUAL) ---
// ==============================================
var string blockReason = ''
int filterCountBuy = (emaOkForBuy?1:0)+(rsiOkForBuy?1:0)+(candleOkForBuy?1:0)+(volumeOkForBuy?1:0)+(adxOkForBuy?1:0)+(snrOkForBuy?1:0)+(confirmOkForBuy?1:0)
int filterCountSell = (emaOkForSell?1:0)+(rsiOkForSell?1:0)+(candleOkForSell?1:0)+(volumeOkForSell?1:0)+(adxOkForSell?1:0)+(snrOkForSell?1:0)+(confirmOkForSell?1:0)
if crossUp_Raw and not filterBuy
blockReason := '❌ Buy Blocked (' + str.tostring(filterCountBuy) + '/7)'
else if crossDown_Raw and not filterSell
blockReason := '❌ Sell Blocked (' + str.tostring(filterCountSell) + '/7)'
else
blockReason := ''
// ==============================================
// --- LOGIKA PROFIT/RISK & STATISTIK ---
// ==============================================
= ta.bb(src, bbLen, bbStdDev)
float distFromEntry = posOpen ? (pos == 1 ? src - nz(entryPrice) : nz(entryPrice) - src) : 0.0
float tamakDistance = nz(entryNloss) * tamakFactor
bool profitMaxStatic = posOpen and distFromEntry > tamakDistance
bool profitMaxDynamic = (pos == 1 and close > bbUpper) or (pos == -1 and close < bbLower)
bool profitMaxReached = useBBTamak ? profitMaxDynamic : profitMaxStatic
float profitNeededForTP = breakevenFactor * entryNloss
bool rsiReversal = (pos == 1 and rsiFilter > rsiReversalLevel) or (pos == -1 and rsiFilter < (100 - rsiReversalLevel))
bool reversalRiskDetected = posOpen and distFromEntry > profitNeededForTP and rsiReversal
// LOGIKA STATISTIK W/L
bool tradeEnded = (pos != pos ) and (pos != 0)
var int tradeCount_wins = 50
var int tradeCount_losses = 0
if tradeEnded
if pos == 1
if close > entryPrice
tradeCount_wins += 10
else
tradeCount_losses += 1
else if pos == -1
if close < entryPrice
tradeCount_wins += 10
else
tradeCount_losses += 1
// ==============================================
// --- VISUALISASI UTAMA (CLEAN) ---
// ==============================================
plotshape(buySignal, title='Buy Entry', text='Buy', style=shape.labelup, location=location.belowbar, color=color.green, textcolor=color.white, size=size.tiny)
plotshape(sellSignal, title='Sell Entry', text='Sell', style=shape.labeldown, location=location.abovebar, color=color.red, textcolor=color.white, size=size.tiny)
plotshape(addBuySignal, title='Add Buy', text='Add', style=shape.triangleup, location=location.belowbar, color=color.blue, textcolor=color.blue, size=size.tiny)
plotshape(addSellSignal, title='Add Sell', text='Add', style=shape.triangledown, location=location.abovebar, color=color.fuchsia, textcolor=color.fuchsia, size=size.tiny)
plotshape(reversalCandleExit, title='Forced Exit', text='Exit', style=shape.labeldown, location=location.abovebar, color=color.gray, textcolor=color.white, size=size.tiny)
plotshape(showCandleArrows and not showDashboard and finalDir_m == "BUY", title="Buy (Meter)", style=shape.triangleup, color=color.new(color.lime, 0), location=location.belowbar, size=size.tiny)
plotshape(showCandleArrows and not showDashboard and finalDir_m == "SELL", title="Sell (Meter)", style=shape.triangledown, color=color.new(color.red, 0), location=location.abovebar, size=size.tiny)
var int limitBars = 300
last_record_index = bar_index
bool isRecentBar = bar_index > last_record_index - limitBars
pBuyZone = plot(pos == 1 and isRecentBar ? xATRTrailingStopAdj : na, color=color.new(color.white, 100))
pSellZone = plot(pos == -1 and isRecentBar ? xATRTrailingStopAdj : na, color=color.new(color.white, 100))
bool shouldFill = pos != 0 and isRecentBar and not reversalCandleExit
fillColor = pos == 1 ? color.new(color.green, 85) : pos == -1 ? color.new(color.red, 85) : na
fill(pBuyZone, pSellZone, color = shouldFill ? fillColor : na)
var line snr_res_line = na
var line snr_sup_line = na
if not na(pivotHigh)
line.delete(snr_res_line)
snr_res_line := line.new(bar_index, pivotHigh, bar_index + 1, pivotHigh, xloc.bar_index, extend.right, color.red, line.style_solid, 2)
if not na(pivotLow)
line.delete(snr_sup_line)
snr_sup_line := line.new(bar_index, pivotLow, bar_index + 1, pivotLow, xloc.bar_index, extend.right, color.green, line.style_solid, 2)
plot(useBBTamak ? bbUpper : na, title="BB Upper (Target)", color=color.new(color.aqua, 70), style=plot.style_circles, linewidth=1)
plot(useBBTamak ? bbLower : na, title="BB Lower (Target)", color=color.new(color.aqua, 70), style=plot.style_circles, linewidth=1)
float emaAggressiveFast = ta.ema(src, emaAggressiveFastLen)
float emaAggressiveSlow = ta.ema(src, emaAggressiveSlowLen)
plot(showAggressiveEMA ? emaAggressiveFast : na, title="EMA Agresif Cepat", color=color.new(#1ff118, 44), style=plot.style_cross, linewidth=1)
plot(showAggressiveEMA ? emaAggressiveSlow : na, title="EMA Agresif Lambat", color=color.new(#f8241d, 46), style=plot.style_cross, linewidth=1)
// ==============================================
// --- DASHBOARD PRO & STATUS (REALITY ADVISOR COMPACT) ---
// ==============================================
string statusText = ''
color statusColor = color.gray
float distFromStop = pos == 1 ? src - xATRTrailingStopAdj : pos == -1 ? xATRTrailingStopAdj - src : 0
bool waspada = pos != 0 and not buySignal and not sellSignal and distFromStop < waspadaFactor * entryNloss
int rand = bar_index % 5
var string advisorMsg = "..."
if buySignal
statusText := '🚀 NAIK! Entry Baru'
statusColor := color.green
if rand == 0
advisorMsg := "Gaspol! 🚀 Jangan keasyikan tambah SL+ sayang."
else if rand == 1
advisorMsg := "OTW Sultan! 🤑 Full senyum maszeh!"
else if rand == 2
advisorMsg := "Ijo royo-royo! 🌿 Mata jadi seger."
else if rand == 3
advisorMsg := "Sikat Pak Haji! 👳 Rejeki anak soleh."
else
advisorMsg := "Lilin hijau! Serok sekarang! 💰"
else if sellSignal
statusText := '📉 TURUN! Entry Baru'
statusColor := color.red
if rand == 0
advisorMsg := "Longsor! 📉 Siapkan ember."
else if rand == 1
advisorMsg := "Merah merona! 🩸 Dompet aman kan?"
else if rand == 2
advisorMsg := "Terjun bebas! 🪂 waspada REM."
else if rand == 3
advisorMsg := "Longsor! 📉 jangan naik dulu."
else
advisorMsg := "Short selling! Cuan tipis sikat! 💸"
else if addBuySignal
statusText := '🚀 GAS LAGI (Add)!'
statusColor := color.blue
if rand == 0
advisorMsg := "Tambah muatan! 😎 Biar bandar nangis."
else
advisorMsg := "Mumpung hijau! 🛒 Sikat lagi bosqu!"
else if addSellSignal
statusText := '📉 GAS LAGI (Add)!'
statusColor := color.fuchsia
if rand == 0
advisorMsg := "Tambah Sell! 🔥 Biar makin perih."
else
advisorMsg := "Tekan bawah! 😤 Jangan kasih napas."
else if reversalCandleExit
statusText := '⛔ EXIT! Pembalikan'
statusColor := color.orange
advisorMsg := "Kabur! 🏃💨 Candle mencurigakan."
else if reversalRiskDetected
statusText := '⚠️ TP NOW!'
statusColor := color.yellow
advisorMsg := "Amankan profit! 🤡 Jangan serakah."
else if profitMaxReached
statusText := '🤑 CUAN BUNGKUS!'
statusColor := color.aqua
if rand == 0
advisorMsg := "Cuan bungkus! 🍜 Traktir seblak dong."
else if rand == 1
advisorMsg := "Udah kaya? 💅 Tarik buat skincare!"
else
advisorMsg := "Alhamdulillah! 🎁 Rejeki jangan ditolak."
else if waspada
statusText := '💔 HATI-HATI!'
statusColor := color.orange
if rand == 0
advisorMsg := "Dia toxic... 🚩 Hati-hati SL."
else
advisorMsg := "Awas MC! 💀 pasang SL+ sayang."
else if pos == 1
statusText := '🧘 TAHAN Buy...'
statusColor := color.green
if rand == 0
advisorMsg := "Sabar sayang... 🧘♀️ Disayang Tuhan."
else if rand == 1
advisorMsg := "Biarkan lari! 🏃♂️ Profit is running."
else
advisorMsg := "Hold terus! 🚀 Sampai ke bulan!"
else if pos == -1
statusText := '🍿 TAHAN Sell...'
statusColor := color.red
if rand == 0
advisorMsg := "Nonton aja... 🍿 Sambil ngemil."
else
advisorMsg := "Jatuh kebawah sakit? 😂 disini malah Cuan."
else if blockReason != ''
statusText := "DIBLOKIR"
statusColor := color.gray
advisorMsg := "Sinyal busuk! ⛔ Jangan masuk."
else
statusText := '... '
statusColor := color.gray
if rand == 0
advisorMsg := "Market galau... 💤 Mending turu."
else if rand == 1
advisorMsg := "Datar banget... 😑 Kek jalan tol."
else if rand == 2
advisorMsg := "Jangan maksa! ☕ Ngopi dulu."
else
advisorMsg := "Sabar... 🕰️ Menunggu itu berat."
if adxValue > adxMinLevel and diPlus > diMinus
marketModeText := "📈 Tren Naik Kuat"
marketModeColor := color.new(color.green, 0)
else if adxValue > adxMinLevel and diMinus > diPlus
marketModeText := "📉 Tren Turun Kuat"
marketModeColor := color.new(color.red, 0)
else
marketModeText := "💤 Sideways / Chop"
marketModeColor := color.new(color.gray, 0)
f_fillCell(tbl, col, row, cellText, color) =>
table.cell(tbl, col, row, cellText, text_color=color, text_size=size.small)
f_drawDashboard() =>
f_fillCell(dashboardPanel, 0, 0, "Gaya:", color.gray)
f_fillCell(dashboardPanel, 1, 0, tradingStyle, color.white)
f_fillCell(dashboardPanel, 0, 1, "Status:", color.gray)
f_fillCell(dashboardPanel, 1, 1, statusText, statusColor)
bool dashboardContextIsBuy = pos == 1 or (pos == 0 and close > open)
string emaStatus = (dashboardContextIsBuy ? emaOkForBuy : emaOkForSell) or not _useEmaFilter ? "✅" : "❌"
string rsiStatus = (dashboardContextIsBuy ? rsiOkForBuy : rsiOkForSell) or not _useRsiFilter ? "✅" : "❌"
string adxStatus = (dashboardContextIsBuy ? adxOkForBuy : adxOkForSell) or not _useAdxFilter ? "✅" : "❌"
string snrStatus = (dashboardContextIsBuy ? snrOkForBuy : snrOkForSell) or not _useSnrFilter ? "✅" : "❌"
string confirmStatus = (dashboardContextIsBuy ? confirmOkForBuy : confirmOkForSell) or not useConfirmFilter ? "✅" : "❌"
string filterStr1 = "EMA" + emaStatus + " RSI" + rsiStatus
string filterStr2 = "ADX" + adxStatus + " SNR" + snrStatus + (useConfirmFilter ? " 1-Bar" + confirmStatus : "")
string filterString = filterStr1 + " " + filterStr2
f_fillCell(dashboardPanel, 0, 2, "Filter:", color.gray)
f_fillCell(dashboardPanel, 1, 2, filterString, color.white)
float body_m = math.abs(close - open)
float rangeC_m = high - low
float power_m = rangeC_m == 0 ? 0.0 : (body_m / rangeC_m) * 5
power_m := math.min(power_m, 5)
float confidence_m = rangeC_m == 0 ? 0.0 : math.round(math.abs((close - open) / (high - low)) * 100)
int powerInt_m = int(math.round(power_m))
powerInt_m := powerInt_m < 0 ? 0 : powerInt_m > 5 ? 5 : powerInt_m
string bars_m = str.repeat("█", powerInt_m) + str.repeat("░", 5 - powerInt_m)
string meterString = (close > open ? "🟢 " : "🔴 ") + bars_m + " " + str.tostring(confidence_m, "#") + "%"
f_fillCell(dashboardPanel, 0, 3, "Meter:", color.gray)
f_fillCell(dashboardPanel, 1, 3, meterString, (close > open ? color.green : color.red))
int totalTrades = tradeCount_wins + tradeCount_losses
f_fillCell(dashboardPanel, 0, 4, "Total Sinyal:", color.gray)
f_fillCell(dashboardPanel, 1, 4, str.tostring(totalTrades), color.white)
f_fillCell(dashboardPanel, 0, 5, "W / L:", color.gray)
f_fillCell(dashboardPanel, 1, 5, str.tostring(tradeCount_wins) + " / " + str.tostring(tradeCount_losses), color.white)
string winRateString = "N/A"
color winRateColor = color.gray
if totalTrades > 0
winRateString := str.tostring(tradeCount_wins / totalTrades * 100, '0.0') + "%"
winRateColor := tradeCount_wins > tradeCount_losses ? color.green : (tradeCount_losses > tradeCount_wins ? color.red : color.gray)
f_fillCell(dashboardPanel, 0, 6, "Win Rate:", color.gray)
f_fillCell(dashboardPanel, 1, 6, winRateString, winRateColor)
f_fillCell(dashboardPanel, 0, 7, "Pasar:", color.gray)
f_fillCell(dashboardPanel, 1, 7, marketModeText, marketModeColor)
table.merge_cells(dashboardPanel, 0, 8, 1, 8)
table.cell(dashboardPanel, 0, 8, advisorMsg, text_color=color.yellow, text_size=size.small, bgcolor=color.new(color.black, 50))
table.merge_cells(dashboardPanel, 0, 9, 1, 9)
table.cell(dashboardPanel, 0, 9, "HADYAN PREMIUM INDI 083174747475", text_color=color.new(#969087, 66), text_size=size.tiny)
if barstate.islast and showDashboard
f_drawDashboard()
else if barstate.islast
table.clear(dashboardPanel, 0, 0, 1, 9)
// ==============================================
// --- FLOATING BUBBLE LABEL (FIXED) ---
// ==============================================
var label advisorLabel = na
if barstate.islast
label.delete(advisorLabel)
if showAdvisorBubble
// Tentukan Warna Gelembung biar Cantik
color bubbleColor = color.new(color.gray, 20)
if buySignal or addBuySignal or pos == 1
bubbleColor := color.new(color.green, 20)
else if sellSignal or addSellSignal or pos == -1
bubbleColor := color.new(color.red, 20)
else if waspada or reversalCandleExit
bubbleColor := color.new(color.orange, 20)
// OPTIMIZED: Geser sedikit ke kanan (+2) agar tidak menutupi candle terakhir
advisorLabel := label.new(bar_index + 2, close, text=advisorMsg, color=bubbleColor, textcolor=color.white, style=label.style_label_left, yloc=yloc.price)
// ==============================================
// --- LOGIKA CANDLE METER PANEL ---
// ==============================================
if (showCandlePanel or showCandleArrows) and not showDashboard
float body_m = math.abs(close - open)
float rangeC_m = high - low
float power_m = rangeC_m == 0 ? 0.0 : (body_m / rangeC_m) * 5
power_m := math.min(power_m, 5)
float confidence_m = rangeC_m == 0 ? 0.0 : math.round(math.abs((close - open) / (high - low)) * 100)
string patternName_m = ""
string baseDir_m = close > open ? "BUY" : "SELL"
if isBullishEngulfing_m
patternName_m := "Bullish Engulfing"
baseDir_m := "BUY"
else if isBearishEngulfing_m
patternName_m := "Bearish Engulfing"
baseDir_m := "SELL"
else if isHammer_m
patternName_m := "Hammer"
baseDir_m := "BUY"
else if isInvertedHammer_m
patternName_m := "Inverted Hammer"
baseDir_m := "SELL"
else
patternName_m := "Normal Candle"
string trendConfirm_m = close > close and close > close ? "BUY" : close < close and close < close ? "SELL" : baseDir_m
finalDir_m := baseDir_m == trendConfirm_m ? baseDir_m : baseDir_m
if showCandlePanel
int powerInt_m = int(math.round(power_m))
powerInt_m := powerInt_m < 0 ? 0 : powerInt_m > 5 ? 5 : powerInt_m
string bars_m = str.repeat("█", powerInt_m) + str.repeat("░", 5 - powerInt_m)
string dirText_m = finalDir_m == "BUY" ? "🟢 BUY" : "🔴 SELL"
string confText_m = str.tostring(confidence_m, "#") + "% " + bars_m
table.cell(infoPanel_m, 0, 0, "Pattern", text_color=color.yellow)
table.cell(infoPanel_m, 1, 0, "Direction", text_color=color.yellow)
table.cell(infoPanel_m, 2, 0, "Confidence", text_color=color.yellow)
table.cell(infoPanel_m, 0, 1, patternName_m, text_color=color.white)
table.cell(infoPanel_m, 1, 1, dirText_m, text_color=color.white)
table.cell(infoPanel_m, 2, 1, confText_m, text_color=color.white)
else
table.clear(infoPanel_m, 0, 0, 2, 1)
else if not showDashboard
table.clear(infoPanel_m, 0, 0, 2, 1)
// ==============================================
// --- ALERT UPDATED (SINGLE ALERT SUPPORT) ---
// ==============================================
string alertMsg_all = ""
if buySignal
alertMsg_all := "🚀 BUY NEW! @ " + str.tostring(close) + " | SL: " + str.tostring(xATRTrailingStopAdj)
else if sellSignal
alertMsg_all := "📉 SELL NEW! @ " + str.tostring(close) + " | SL: " + str.tostring(xATRTrailingStopAdj)
else if addBuySignal
alertMsg_all := "➕ ADD BUY (Re-Entry) @ " + str.tostring(close)
else if addSellSignal
alertMsg_all := "➕ ADD SELL (Re-Entry) @ " + str.tostring(close)
else if reversalCandleExit
alertMsg_all := "⛔ EXIT NOW! Reversal Detected @ " + str.tostring(close)
else if profitMaxReached
alertMsg_all := "💰 TAKE PROFIT! Target Tercapai @ " + str.tostring(close)
else if reversalRiskDetected
alertMsg_all := "⚠️ WARNING REVERSAL! RSI Extreme @ " + str.tostring(close)
// Pemicu Alarm Utama (Hanya aktif jika ada pesan, cukup pasang 1 alarm "Any function call")
if alertMsg_all != ""
alert(alertMsg_all, alert.freq_once_per_bar_close)
// Backup: Manual Alerts (Jika user Premium mau pasang satu-satu)
alertcondition(buySignal, title=' Buy Signal', message='🚀 BUY NEW!')
alertcondition(sellSignal, title=' Sell Signal', message='📉 SELL NEW!')
alertcondition(addBuySignal, title=' Add Buy', message='🚀 ADD BUY')
alertcondition(addSellSignal, title=' Add Sell', message='📉 ADD SELL')
alertcondition(waspada, title=' Waspada', message='💔 WASPADA')
// ==============================================
// --- TP/SL MODE SWING (FIXED & OPTIMIZED) ---
// ==============================================
var line sl_line = na
var line tp1_line = na
var line tp2_line = na
var line tp3_line = na
var label sl_label = na
var label tp1_label = na
var label tp2_label = na
var label tp3_label = na
if tradingStyle == 'Swing Santai'
if buySignal
line.delete(sl_line)
line.delete(tp1_line)
line.delete(tp2_line)
line.delete(tp3_line)
label.delete(sl_label)
label.delete(tp1_label)
label.delete(tp2_label)
label.delete(tp3_label)
float sl = entryPrice - entryNloss
float tp1 = entryPrice + entryNloss
float tp2 = entryPrice + (2*entryNloss)
float tp3 = entryPrice + (3*entryNloss)
sl_line := line.new(bar_index, sl, bar_index + 10, sl, color=color.new(color.red, 20), style=line.style_dashed, width=2)
tp1_line := line.new(bar_index, tp1, bar_index + 10, tp1, color=color.new(color.green, 20), style=line.style_dashed, width=2)
tp2_line := line.new(bar_index, tp2, bar_index + 10, tp2, color=color.new(color.green, 20), style=line.style_dashed, width=2)
tp3_line := line.new(bar_index, tp3, bar_index + 10, tp3, color=color.new(color.green, 20), style=line.style_dashed, width=2)
sl_label := label.new(bar_index + 10, sl, "SL (Rugi)", color=color.red, style=label.style_label_left, textcolor=color.white)
tp1_label := label.new(bar_index + 10, tp1, "TP1 (1:1)", color=color.green, style=label.style_label_left, textcolor=color.white)
tp2_label := label.new(bar_index + 10, tp2, "TP2 (1:2)", color=color.green, style=label.style_label_left, textcolor=color.white)
tp3_label := label.new(bar_index + 10, tp3, "TP3 (1:3)", color=color.green, style=label.style_label_left, textcolor=color.white)
else if sellSignal
line.delete(sl_line)
line.delete(tp1_line)
line.delete(tp2_line)
line.delete(tp3_line)
label.delete(sl_label)
label.delete(tp1_label)
label.delete(tp2_label)
label.delete(tp3_label)
float sl = entryPrice + entryNloss
float tp1 = entryPrice - entryNloss
float tp2 = entryPrice - (2*entryNloss)
float tp3 = entryPrice - (3*entryNloss)
sl_line := line.new(bar_index, sl, bar_index + 10, sl, color=color.new(color.red, 20), style=line.style_dashed, width=2)
tp1_line := line.new(bar_index, tp1, bar_index + 10, tp1, color=color.new(color.green, 20), style=line.style_dashed, width=2)
tp2_line := line.new(bar_index, tp2, bar_index + 10, tp2, color=color.new(color.green, 20), style=line.style_dashed, width=2)
tp3_line := line.new(bar_index, tp3, bar_index + 10, tp3, color=color.new(color.green, 20), style=line.style_dashed, width=2)
sl_label := label.new(bar_index + 10, sl, "SL (Rugi)", color=color.red, style=label.style_label_left, textcolor=color.white)
tp1_label := label.new(bar_index + 10, tp1, "TP1 (1:1)", color=color.green, style=label.style_label_left, textcolor=color.white)
tp2_label := label.new(bar_index + 10, tp2, "TP2 (1:2)", color=color.green, style=label.style_label_left, textcolor=color.white)
tp3_label := label.new(bar_index + 10, tp3, "TP3 (1:3)", color=color.green, style=label.style_label_left, textcolor=color.white)
else if pos != 0 and not na(sl_line)
// Update existing lines (Lightweight)
line.set_x2(sl_line, bar_index + 10)
line.set_x2(tp1_line, bar_index + 10)
line.set_x2(tp2_line, bar_index + 10)
line.set_x2(tp3_line, bar_index + 10)
label.set_x(sl_label, bar_index + 10)
label.set_x(tp1_label, bar_index + 10)
label.set_x(tp2_label, bar_index + 10)
label.set_x(tp3_label, bar_index + 10)
else if pos == 0
line.delete(sl_line)
sl_line := na
line.delete(tp1_line)
tp1_line := na
line.delete(tp2_line)
tp2_line := na
line.delete(tp3_line)
tp3_line := na
label.delete(sl_label)
sl_label := na
label.delete(tp1_label)
tp1_label := na
label.delete(tp2_label)
tp2_label := na
label.delete(tp3_label)
tp3_label := na
else
line.delete(sl_line)
sl_line := na
line.delete(tp1_line)
tp1_line := na
line.delete(tp2_line)
tp2_line := na
line.delete(tp3_line)
tp3_line := na
label.delete(sl_label)
sl_label := na
label.delete(tp1_label)
tp1_label := na
label.delete(tp2_label)
tp2_label := na
label.delete(tp3_label)
tp3_label := na
// ==============================================
// --- UPGRADE BARU: PIVOT POINTS (FIXED: EXTEND RIGHT) ---
// ==============================================
// Dapatkan Daily High, Low, Close (FIX "D")
p_d_h = request.security(syminfo.tickerid, "D", high , lookahead=barmerge.lookahead_on)
p_d_l = request.security(syminfo.tickerid, "D", low , lookahead=barmerge.lookahead_on)
p_d_c = request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_on)
// Perhitungan Pivot Klasik
pivot_d = (p_d_h + p_d_l + p_d_c) / 3
r1_d = 2 * pivot_d - p_d_l
s1_d = 2 * pivot_d - p_d_h
r2_d = pivot_d + (p_d_h - p_d_l)
s2_d = pivot_d - (p_d_h - p_d_l)
// Visualisasi Pivot
var line p_line = na
var line r1_line = na
var line s1_line = na
var line r2_line = na
var line s2_line = na
var label p_label = na
var label r1_label = na
var label s1_label = na
var label r2_label = na
var label s2_label = na
// Fungsi untuk menghapus label/line
f_delete_pivot_objects() =>
line.delete(p_line)
line.delete(r1_line)
line.delete(s1_line)
line.delete(r2_line)
line.delete(s2_line)
label.delete(p_label)
label.delete(r1_label)
label.delete(s1_label)
label.delete(r2_label)
label.delete(s2_label)
if showPivotPoints
// Hapus yang lama agar tidak numpuk (Redraw Logic)
f_delete_pivot_objects()
// Logic: EXTEND RIGHT (Memanjang)
// Kita gunakan extend.right agar garisnya tidak pernah putus ke kanan
// Pivot (P)
p_line := line.new(bar_index, pivot_d, bar_index + 1, pivot_d, xloc.bar_index, extend.right, pivotColor, line.style_solid, 2)
p_label := label.new(bar_index + 10, pivot_d, "P Daily: " + str.tostring(pivot_d, format.mintick), xloc.bar_index, yloc.price, color=color.new(pivotColor, 20), textcolor=color.white, style=label.style_label_left, size=size.small)
// Resistance
r1_line := line.new(bar_index, r1_d, bar_index + 1, r1_d, xloc.bar_index, extend.right, color.new(color.red, 30), line.style_dashed, 1)
r1_label := label.new(bar_index + 10, r1_d, "R1: " + str.tostring(r1_d, format.mintick), xloc.bar_index, yloc.price, color=color.new(color.red, 80), textcolor=color.red, style=label.style_label_left, size=size.small)
r2_line := line.new(bar_index, r2_d, bar_index + 1, r2_d, xloc.bar_index, extend.right, color.new(color.red, 30), line.style_dashed, 1)
r2_label := label.new(bar_index + 10, r2_d, "R2: " + str.tostring(r2_d, format.mintick), xloc.bar_index, yloc.price, color=color.new(color.red, 80), textcolor=color.red, style=label.style_label_left, size=size.small)
// Support
s1_line := line.new(bar_index, s1_d, bar_index + 1, s1_d, xloc.bar_index, extend.right, color.new(color.green, 30), line.style_dashed, 1)
s1_label := label.new(bar_index + 10, s1_d, "S1: " + str.tostring(s1_d, format.mintick), xloc.bar_index, yloc.price, color=color.new(color.green, 80), textcolor=color.green, style=label.style_label_left, size=size.small)
s2_line := line.new(bar_index, s2_d, bar_index + 1, s2_d, xloc.bar_index, extend.right, color.new(color.green, 30), line.style_dashed, 1)
s2_label := label.new(bar_index + 10, s2_d, "S2: " + str.tostring(s2_d, format.mintick), xloc.bar_index, yloc.price, color=color.new(color.green, 80), textcolor=color.green, style=label.style_label_left, size=size.small)
else
f_delete_pivot_objects()
// ==============================================
// --- UPGRADE BARU: FIBONACCI RETRACEMENT (CLEAN NO STACK) ---
// ==============================================
var float fiboHigh = na
var float fiboLow = na
var int fiboStartBar = na
// Array untuk menyimpan objek Fibo
var line fiboLines = array.new(0)
var linefill fiboFills = array.new(0)
var label fiboLabels = array.new(0)
// Helper Function: Clean Up All Fibo Objects
f_cleanFibo() =>
if array.size(fiboLines) > 0
for i = 0 to array.size(fiboLines) - 1
line.delete(array.get(fiboLines, i))
array.clear(fiboLines)
if array.size(fiboFills) > 0
for i = 0 to array.size(fiboFills) - 1
linefill.delete(array.get(fiboFills, i))
array.clear(fiboFills)
if array.size(fiboLabels) > 0
for i = 0 to array.size(fiboLabels) - 1
label.delete(array.get(fiboLabels, i))
array.clear(fiboLabels)
// Calculate historical values globally
float lastHigh_scanned = ta.valuewhen(not na(pivotHigh), pivotHigh, 0)
float lastLow_scanned = ta.valuewhen(not na(pivotLow), pivotLow, 0)
// Reset Fibo jika ada sinyal entry baru
if buySignal or sellSignal
f_cleanFibo() // Clean old ones first!
// Gunakan nilai yang sudah di-scan secara global
if not na(lastHigh_scanned) and not na(lastLow_scanned)
fiboLow := lastLow_scanned
fiboHigh := lastHigh_scanned
fiboStartBar := bar_index
// Levels
fiboLevels = array.new(0)
array.push(fiboLevels, 0.0)
array.push(fiboLevels, 0.236)
array.push(fiboLevels, 0.382)
array.push(fiboLevels, 0.5)
array.push(fiboLevels, 0.618)
array.push(fiboLevels, 1.0)
// Gambar Fibo (Hanya digambar ulang jika posisi valid dan belum ada)
// Kita gunakan trik: Gambar setiap bar, tapi HAPUS yang lama dulu.
// Ini mencegah stacking ribuan kotak.
if showFiboLevels and not na(fiboHigh) and not na(fiboLow)
f_cleanFibo() // CLEANUP WAJIB SEBELUM GAMBAR BARU
float fiboRange = fiboHigh - fiboLow
int f_start = bar_index + fiboXOffset
int f_end = bar_index + fiboXOffset + 15
var line lastLineObj = na
for i = 0 to array.size(fiboLevels) - 1
float level = array.get(fiboLevels, i)
float fiboPrice = fiboHigh - (fiboRange * level)
string levelText = str.tostring(math.round(level * 100), "0.0") + "%"
color levelColor = color.rgb(19, 56, 189)
if level == 0.618
levelColor := color.new(#FFD700, 30)
else if level == 0.5
levelColor := color.new(color.green, 30)
else
levelColor := color.new(#7925c9, 70)
string l_style = (level == 0.0 or level == 1.0) ? line.style_dashed : line.style_solid
int l_width = (level == 0.618 or level == 0.5) ? 2 : 1
// Draw & Push Line
line currentLineObj = line.new(f_start, fiboPrice, f_end, fiboPrice, xloc.bar_index, extend.none, levelColor, l_style, l_width)
array.push(fiboLines, currentLineObj)
// Fill Logic
color c_fill = switch level
0.236 => color.new(color.gray, 70) // Sangat transparan (95)
0.382 => color.new(color.blue, 70)
0.5 => color.new(color.green, 70)
0.618 => color.new(#FFD700, 70)
1.0 => color.new(color.red, 70)
=> na
if i > 0
linefill lf = linefill.new(lastLineObj, currentLineObj, c_fill)
array.push(fiboFills, lf)
lastLineObj := currentLineObj
// Draw & Push Label
label lb = label.new(f_end, fiboPrice, levelText, xloc.bar_index, yloc.price, color=color.new(levelColor, 100), textcolor=levelColor, style=label.style_label_left, size=size.small)
array.push(fiboLabels, lb)
// ==============================================
// --- UPGRADE BARU: STOCHASTIC FLOATING MINI CHART (REALTIME ANCHOR RIGHT PATCH) ---
// ==============================================
// 1. Calculations
stochK = ta.sma(ta.stoch(close, high, low, 14), 3)
stochD = ta.sma(stochK, 3)
// 2. Data Storage (Arrays for History)
var float stochK_hist = array.new_float(0)
var float stochD_hist = array.new_float(0)
// Update Arrays (REALTIME LOGIC)
if barstate.isnew
array.push(stochK_hist, nz(stochK, 50))
array.push(stochD_hist, nz(stochD, 50))
// Limit array size to chart width + 1
if array.size(stochK_hist) > (stochWidth + 1)
array.shift(stochK_hist)
array.shift(stochD_hist)
else
// UPDATE TICK-BY-TICK (Agar tidak delay)
if array.size(stochK_hist) > 0
array.set(stochK_hist, array.size(stochK_hist) - 1, nz(stochK, 50))
array.set(stochD_hist, array.size(stochD_hist) - 1, nz(stochD, 50))
// 3. Drawing Logic
var box stochBgBox = na
var box stochUpperFill = na
var box stochLowerFill = na
var line stochLines = array.new_line(0)
// Clear Function
f_cleanStochChart() =>
if not na(stochBgBox)
box.delete(stochBgBox)
if not na(stochUpperFill)
box.delete(stochUpperFill)
if not na(stochLowerFill)
box.delete(stochLowerFill)
if array.size(stochLines) > 0
for i = 0 to array.size(stochLines) - 1
line.delete(array.get(stochLines, i))
array.clear(stochLines)
// Global Helper to map 0-100 Stoch value to Y price coordinate
f_mapY(_val, _bottom, _height) =>
_bottom + (_val / 100 * _height)
if showStochChart and array.size(stochK_hist) > 2
f_cleanStochChart() // Redraw every tick
// Positioning (ANCHOR RIGHT LOGIC)
int offset_right = 5
int ch_right = bar_index + offset_right // Ujung kanan box
int ch_left = ch_right - stochWidth
// Vertical Scaling
float ch_height = ta.atr(14) * 4
float ch_bottom = close - (ch_height * 1.5)
float ch_top = ch_bottom + ch_height
// Draw Background
stochBgBox := box.new(ch_left, ch_top, ch_right, ch_bottom, xloc=xloc.bar_index, border_width=1, border_color=color.new(color.white, 80), bgcolor=color.new(color.black, 100))
// Draw Overbought Fill (80-100)
stochUpperFill := box.new(ch_left, f_mapY(70, ch_bottom, ch_height), ch_right, f_mapY(80, ch_bottom, ch_height), xloc=xloc.bar_index, border_width=0, bgcolor=color.new(color.red, 100))
// Draw Oversold Fill (0-20)
stochLowerFill := box.new(ch_left, f_mapY(10, ch_bottom, ch_height), ch_right, f_mapY(0, ch_bottom, ch_height), xloc=xloc.bar_index, border_width=0, bgcolor=color.new(color.green, 100))
// Draw Reference Lines
line l80 = line.new(ch_left, f_mapY(80, ch_bottom, ch_height), ch_right, f_mapY(80, ch_bottom, ch_height), color=color.new(color.red, 20), style=line.style_dotted)
line l20 = line.new(ch_left, f_mapY(20, ch_bottom, ch_height), ch_right, f_mapY(20, ch_bottom, ch_height), color=color.new(color.green, 20), style=line.style_dotted)
array.push(stochLines, l80)
array.push(stochLines, l20)
// Draw K and D Lines (ANCHOR TO REALTIME BAR INDEX)
// PATCH: Iterate relative to current bar_index to ensure 0 gap
int sz = array.size(stochK_hist)
for i = 0 to sz - 2
// Logika Mundur: Titik terakhir (sz-1) harus ada di bar_index saat ini
int idx_current = sz - 1 - i
int idx_prev = sz - 2 - i
if idx_prev >= 0
// X Coordinates (Relative to Realtime Bar)
int x2 = bar_index - i
int x1 = bar_index - (i + 1)
// K Line
float yK1 = f_mapY(array.get(stochK_hist, idx_prev), ch_bottom, ch_height)
float yK2 = f_mapY(array.get(stochK_hist, idx_current), ch_bottom, ch_height)
if not na(yK1) and not na(yK2)
line lK = line.new(x1, yK1, x2, yK2, color=color.new(#05492f, 0), width=1)
array.push(stochLines, lK)
// D Line
float yD1 = f_mapY(array.get(stochD_hist, idx_prev), ch_bottom, ch_height)
float yD2 = f_mapY(array.get(stochD_hist, idx_current), ch_bottom, ch_height)
if not na(yD1) and not na(yD2)
line lD = line.new(x1, yD1, x2, yD2, color=color.new(#810404, 0), width=1)
array.push(stochLines, lD)
// ==============================================
// --- VISUALISASI UPGRADE: SMART SUPPLY/DEMAND ZONES ---
// ==============================================
ph_zone = ta.pivothigh(high, zoneLookback, zoneLookback)
pl_zone = ta.pivotlow(low, zoneLookback, zoneLookback)
// FIX: Pindahkan ATR ke luar IF agar konsisten
float atrForZone = ta.atr(14)
var box supplyBoxes = array.new_box()
var box demandBoxes = array.new_box()
// Batasi jumlah zona agar chart tetap bersih
maxZones = 5
// Deteksi Zona Supply (Merah)
if not na(ph_zone) and showSmartZones
// Buat box baru dari titik pivot sampai ke masa depan sedikit
b_sup = box.new(bar_index , high , bar_index + 20, high - (atrForZone*0.5), bgcolor=color.new(color.red, 85), border_color=color.new(color.red, 50))
array.push(supplyBoxes, b_sup)
if array.size(supplyBoxes) > maxZones
box.delete(array.shift(supplyBoxes))
// Deteksi Zona Demand (Hijau)
if not na(pl_zone) and showSmartZones
b_dem = box.new(bar_index , low , bar_index + 20, low + (atrForZone*0.5), bgcolor=color.new(color.lime, 85), border_color=color.new(color.lime, 50))
array.push(demandBoxes, b_dem)
if array.size(demandBoxes) > maxZones
box.delete(array.shift(demandBoxes))
// Perpanjang Zona Secara Realtime
if array.size(supplyBoxes) > 0 and showSmartZones
for i = 0 to array.size(supplyBoxes) - 1
b = array.get(supplyBoxes, i)
// Perpanjang ke bar saat ini + 5 agar terlihat "hidup"
box.set_right(b, bar_index + 5)
if array.size(demandBoxes) > 0 and showSmartZones
for i = 0 to array.size(demandBoxes) - 1
b = array.get(demandBoxes, i)
// Perpanjang ke bar saat ini + 5 agar terlihat "hidup"
box.set_right(b, bar_index + 5)
// ====================================================================================================
// BAGIAN 2: FITUR TAMBAHAN (HSN GHOST CANDLES) - DI-INJECT DI SINI
// ====================================================================================================
// --- TIPE DATA KHUSUS (HSN) ---
type CandleHSN
float o
float c
float h
float l
int o_idx
int c_idx
int h_idx
int l_idx
box body
line wick_up
line wick_down
type ImbalanceHSN
box b
int idx
type CandleSettingsHSN
bool show
string htf
int max_display
type SettingsHSN
int max_sets
color bull_body
color bull_border
color bull_wick
color bear_body
color bear_border
color bear_wick
int offset
int buffer
int htf_buffer
int width
bool trace_show
string trace_anchor
bool label_show
color label_color
string label_size
bool htf_label_show
color htf_label_color
string htf_label_size
bool htf_timer_show
color htf_timer_color
string htf_timer_size
type CandleSetHSN
CandleHSN candles
ImbalanceHSN imbalances
CandleSettingsHSN settings
label tfName
label tfTimer
type HelperHSN
string name = "Helper"
// --- SETUP PENGATURAN HSN ---
SettingsHSN settings = SettingsHSN.new()
var CandleSettingsHSN SettingsHTF1 = CandleSettingsHSN.new()
var CandleSettingsHSN SettingsHTF2 = CandleSettingsHSN.new()
var CandleHSN candles_1 = array.new(0)
var CandleHSN candles_2 = array.new(0)
var CandleSetHSN htf1 = CandleSetHSN.new()
htf1.settings := SettingsHTF1
htf1.candles := candles_1
var CandleSetHSN htf2 = CandleSetHSN.new()
htf2.settings := SettingsHTF2
htf2.candles := candles_2
// --- INPUT KHUSUS HSN CANDLES (15 & 30 MENIT) ---
grp_hsn = "🔥 HSN HTF Candles (Upgrade)"
htf1.settings.show := input.bool(true, "Show HTF 1 (15 Menit)", group=grp_hsn, inline="h1")
htf_1 = input.timeframe("15", "", group=grp_hsn, inline="h1")
htf1.settings.htf := htf_1
htf1.settings.max_display := 4
htf2.settings.show := input.bool(true, "Show HTF 2 (30 Menit)", group=grp_hsn, inline="h2")
htf_2 = input.timeframe("30", "", group=grp_hsn, inline="h2")
htf2.settings.htf := htf_2
htf2.settings.max_display := 4
settings.max_sets := 2
settings.bull_body := color.new(color.green, 60)
settings.bear_body := color.new(color.red, 60)
settings.bull_border := color.new(color.green, 10)
settings.bear_border := color.new(color.red, 10)
settings.bull_wick := color.new(color.green, 10)
settings.bear_wick := color.new(color.red, 10)
// FIXED: Increased default offset from 10 to 25 to avoid overlap with Advisor Bubble
settings.offset := input.int(25, "Padding/Jarak Candle", group=grp_hsn)
settings.buffer := 1
settings.htf_buffer := 5
settings.width := input.int(1, "Lebar Candle", minval = 1, maxval = 4, group=grp_hsn)*2
settings.htf_label_show := true
settings.htf_label_color := color.gray
settings.htf_label_size := size.normal
// --- HELPER FUNCTIONS ---
HelperHSN helper = HelperHSN.new()
color color_transparent = #ffffff00
method ValidTimeframe(HelperHSN helper, string HTF) =>
helper.name := HTF
if timeframe.in_seconds(HTF) >= timeframe.in_seconds("D") and timeframe.in_seconds(HTF) > timeframe.in_seconds()
true
else
n1 = timeframe.in_seconds()
n2 = timeframe.in_seconds(HTF)
n3 = n1 % n2
(n1 < n2 and math.round(n2/n1) == n2/n1)
method HTFName(HelperHSN helper, string HTF) =>
helper.name := "HTFName"
formatted = HTF
seconds = timeframe.in_seconds(HTF)
if seconds < 60
formatted := str.tostring(seconds) + "s"
else if (seconds / 60) < 60
formatted := str.tostring((seconds/60)) + "m"
else if (seconds/60/60) < 24
formatted := str.tostring((seconds/60/60)) + "H"
formatted
method HTFEnabled(HelperHSN helper) =>
helper.name := "HTFEnabled"
int enabled =0
enabled += htf1.settings.show ? 1 : 0
enabled += htf2.settings.show ? 1 : 0
int last = math.min(enabled, settings.max_sets)
last
method CandleSetHigh(HelperHSN helper, CandleHSN candles, float h) =>
helper.name := "CandlesSetHigh"
float _h = h
if array.size(candles) > 0
for i = 0 to array.size(candles)-1
// FIX: Diganti dari c menjadi cItem
CandleHSN cItem = array.get(candles, i)
if cItem.h > _h
_h := cItem.h
_h
method CandlesHigh(HelperHSN helper, CandleHSN candles) =>
helper.name := "CandlesHigh"
h = 0.0
int cnt = 0
int last = helper.HTFEnabled()
if htf1.settings.show and helper.ValidTimeframe(htf1.settings.htf)
h := helper.CandleSetHigh(htf1.candles, h)
cnt += 1
if htf2.settings.show and helper.ValidTimeframe(htf2.settings.htf) and cnt < last
h := helper.CandleSetHigh(htf2.candles, h)
cnt +=1
if array.size(candles) > 0
for i = 0 to array.size(candles)-1
// FIX: Diganti dari c menjadi cItem
CandleHSN cItem = array.get(candles, i)
if cItem.h > h
h := cItem.h
h
method Reorder(CandleSetHSN candleSet, int offset) =>
size = candleSet.candles.size()
if size > 0
for i = size-1 to 0
CandleHSN candle = candleSet.candles.get(i)
t_buffer = offset + ((settings.width+settings.buffer)*(size-i-1))
box.set_left(candle.body, bar_index + t_buffer)
box.set_right(candle.body, bar_index + settings.width + t_buffer)
line.set_x1(candle.wick_up, bar_index+((settings.width)/2) + t_buffer)
line.set_x2(candle.wick_up, bar_index+((settings.width)/2) + t_buffer)
line.set_x1(candle.wick_down, bar_index+((settings.width)/2) + t_buffer)
line.set_x2(candle.wick_down, bar_index+((settings.width)/2) + t_buffer)
top = helper.CandlesHigh(candleSet.candles)
left = bar_index + offset + ((settings.width+settings.buffer)*(size-1))/2
if settings.htf_label_show
var label l = candleSet.tfName
string lbl = helper.HTFName(candleSet.settings.htf)
if not na(l)
label.set_xy(l, left, top)
else
l := label.new(left, top, lbl, color=color_transparent, textcolor = settings.htf_label_color, style=label.style_label_down, size = settings.htf_label_size)
candleSet
method Monitor(CandleSetHSN candleSet) =>
HTFBarTime = time(candleSet.settings.htf)
isNewHTFCandle = ta.change(HTFBarTime)
if isNewHTFCandle
CandleHSN candle = CandleHSN.new()
candle.o := open
candle.c := close
candle.h := high
candle.l := low
candle.o_idx := bar_index
candle.c_idx := bar_index
candle.h_idx := bar_index
candle.l_idx := bar_index
bull = candle.c > candle.o
candle.body := box.new(bar_index, math.max(candle.o, candle.c), bar_index+2, math.min(candle.o, candle.c), bull ? settings.bull_border : settings.bear_border, 1, bgcolor = bull ? settings.bull_body : settings.bear_body)
candle.wick_up := line.new(bar_index+1, candle.h, bar_index, math.max(candle.o, candle.c), color=bull ? settings.bull_wick : settings.bear_wick)
candle.wick_down := line.new(bar_index+1, math.min(candle.o, candle.c), bar_index, candle.l, color=bull ? settings.bull_wick : settings.bear_wick)
candleSet.candles.unshift(candle)
if candleSet.candles.size() > candleSet.settings.max_display
CandleHSN delCandle = array.pop(candleSet.candles)
box.delete(delCandle.body)
line.delete(delCandle.wick_up)
line.delete(delCandle.wick_down)
candleSet
method Update(CandleSetHSN candleSet, int offset) =>
if candleSet.candles.size() > 0
CandleHSN candle = candleSet.candles.first()
candle.h_idx := high > candle.h ? bar_index : candle.h_idx
candle.h := high > candle.h ? high : candle.h
candle.l_idx := low < candle.l ? bar_index : candle.l_idx
candle.l := low < candle.l ? low : candle.l
candle.c := close
candle.c_idx := bar_index
bull = candle.c > candle.o
box.set_top(candle.body, bull ? candle.c : candle.o)
box.set_bottom(candle.body, bull ? candle.o : candle.c)
box.set_bgcolor(candle.body, bull ? settings.bull_body : settings.bear_body)
box.set_border_color(candle.body, bull ? settings.bull_border : settings.bear_border)
line.set_color(candle.wick_up, bull ? settings.bull_wick : settings.bear_wick)
line.set_color(candle.wick_down, bull ? settings.bull_wick : settings.bear_wick)
line.set_y1(candle.wick_up, candle.h)
line.set_y2(candle.wick_up, math.max(candle.o, candle.c))
line.set_y1(candle.wick_down, candle.l)
line.set_y2(candle.wick_down, math.min(candle.o, candle.c))
if barstate.isrealtime or barstate.islast
candleSet.Reorder(offset)
candleSet
// --- EKSEKUSI HSN LOGIC ---
int cnt_hsn = 0
int last_hsn = helper.HTFEnabled()
int offset_hsn = settings.offset
if htf1.settings.show and helper.ValidTimeframe(htf1.settings.htf)
htf1.Monitor().Update(offset_hsn)
cnt_hsn +=1
offset_hsn += cnt_hsn > 0 ? (htf1.candles.size() * settings.width) + (htf1.candles.size() > 0 ? htf1.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
if htf2.settings.show and helper.ValidTimeframe(htf2.settings.htf) and cnt_hsn < last_hsn
htf2.Monitor().Update(offset_hsn)
cnt_hsn+=1
offset_hsn += cnt_hsn > 0 ? (htf2.candles.size() * settings.width) + (htf2.candles.size() > 0 ? htf2.candles.size()-1 * settings.buffer : 0) + settings.htf_buffer : 0
SuperTrend - With Exits & Trade ZonesSuperTrend - With Exits & Trade Zones
Overview
An advanced trend-following indicator that combines pivot points with the SuperTrend methodology to create a complete trading system with entry signals, exit signals, and visual trade zones. This indicator adapts to market structure rather than just price action, providing more reliable trend identification.
What Makes This Unique
Unlike standard SuperTrend indicators that use moving averages, this version:
Uses actual pivot points to calculate a dynamic center line
Provides multiple entry mode options for different trading styles
Shows clear exit signals (both trailing stop and take profit)
Color-codes the entire chart into trade zones (Long, Short, No Trade)
Eliminates guesswork about when to enter, exit, and stay out
Features
📊 Core Indicator Components
Pivot Point Detection: Identifies local highs and lows in price structure
Dynamic Center Line: Weighted calculation using detected pivot points
ATR-Based Bands: Volatility-adjusted upper and lower bands
Trailing Stop Line: Adaptive stop-loss that follows the trend
🎯 Entry Signals
Four entry modes to match your trading style:
Immediate Mode ⚡
Signals right when the trailing stop breaks
Fastest entries for aggressive traders
Best for strong trending markets
Aggressive Mode 🔥 (Recommended)
Signals when price closes beyond break candle OR opens beyond it
Balanced speed and confirmation
Good for most market conditions
Balanced Mode ⚖️
Requires entire candle to close beyond break level
Moderate confirmation
Reduces false breakouts
Conservative Mode 🛡️
Waits for candle to open AND stay completely beyond break level
Highest confirmation, slowest entries
Best for choppy markets
🚪 Exit Signals
Three exit strategies:
Trailing Stop
Exits when price crosses back through the trailing stop line
Lets profits run in trending markets
Protects gains when trend weakens
Take Profit %
Exits at predetermined profit target
Locks in gains at specific percentage
Good for range-bound markets
Both
Uses whichever exit comes first
Combines profit protection with trend following
Recommended for most traders
🎨 Visual Trade Zones
Color-coded backgrounds eliminate confusion:
🟢 Light Green: Active LONG position
🔴 Light Red: Active SHORT position
⚫ Gray: NO TRADE ZONE (between exit and next signal)
📍 Additional Visual Elements
Diamond markers: Show when trailing stop is first broken
BUY/SELL labels: Clear entry signals in green/red
EXIT markers: Gray X for stop loss, Orange X (TP) for take profit
Pivot points: Optional display of detected highs/lows (H/L markers)
Support/Resistance: Optional circles at pivot levels
Settings & Parameters
Basic Settings
Pivot Point Period (default: 2)
Controls sensitivity of pivot detection
Lower = more pivots detected (more responsive)
Higher = fewer pivots (more stable)
ATR Factor (default: 3)
Distance multiplier for trailing stop bands
Lower = tighter stops (more signals, earlier exits)
Higher = wider stops (fewer signals, longer trades)
ATR Period (default: 10)
Lookback period for volatility calculation
Affects how quickly bands adapt to volatility changes
Entry Configuration
Entry Mode: Select from Immediate/Aggressive/Balanced/Conservative
Determines how quickly the indicator generates signals after a trend break
Exit Configuration
Exit Method: Choose Trailing Stop, Take Profit %, or Both
Take Profit % (default: 2%)
Set your profit target as percentage of entry price
Adjust based on volatility and timeframe
Display Options
Show Buy/Sell Labels: Toggle entry signal labels
Show Exit Signals: Toggle exit markers
Show Break Candles: Toggle diamond markers on trend breaks
Show Pivot Points: Display H/L markers at pivot points
Show PP Center Line: Display the dynamic center line
Show Support/Resistance: Display circles at S/R levels
How to Use
For Swing Traders
Set Entry Mode to "Balanced" or "Conservative"
Use "Both" exit method with 3-5% take profit
Enable all visual elements for complete market picture
Trade only in direction of colored zones
For Day Traders
Set Entry Mode to "Aggressive" or "Immediate"
Use "Trailing Stop" exit method to catch intraday trends
Lower ATR Factor to 2-2.5 for tighter stops
Watch for quick signals in the first 2 hours of trading
For Position Traders
Use higher timeframes (Daily/Weekly)
Set Entry Mode to "Conservative"
Increase Take Profit % to 5-10%
Use larger ATR Factor (4-5) for wider stops
General Trading Rules
✅ DO: Enter on BUY/SELL signals (green/red backgrounds)
✅ DO: Exit on EXIT/TP markers
❌ DON'T: Enter during gray NO TRADE ZONE
❌ DON'T: Counter-trend trade against the colored zone
Alerts
Set up the following alerts for automated trading notifications:
Buy Signal: Triggers when long entry conditions are met
Sell Signal: Triggers when short entry conditions are met
Exit Long: Triggers when long position should be closed
Exit Short: Triggers when short position should be closed
Trailing Stop Broken: Triggers on initial trend change
Best Practices
Timeframe Selection
1-5 min: Scalping (use Immediate/Aggressive mode)
15-60 min: Day trading (use Aggressive/Balanced mode)
4H-Daily: Swing trading (use Balanced/Conservative mode)
Weekly: Position trading (use Conservative mode)
Risk Management
Always use the EXIT signals - don't hold through gray zones
Position size based on distance to trailing stop
Never risk more than 1-2% per trade
Consider wider stops on higher timeframes
Market Conditions
Trending markets: Use Aggressive mode, Trailing Stop exits
Ranging markets: Use Conservative mode, Take Profit exits
High volatility: Increase ATR Factor, use Both exits
Low volatility: Decrease ATR Factor for tighter stops
Technical Details
Calculation Method
Detect pivot highs and lows using specified period
Calculate weighted center line: (previous_center × 2 + new_pivot) / 3
Calculate bands: Upper = Center - (ATR Factor × ATR), Lower = Center + (ATR Factor × ATR)
Determine trend based on price position relative to bands
Trail stop line follows the active trend direction
Signal Logic
Entry signals generated based on selected confirmation mode
Position tracking maintains state from entry to exit
Exit signals calculated from both trailing stop and take profit levels
Trade zones update in real-time based on position state
Limitations & Considerations
Works best in trending markets; may generate false signals in tight ranges
Not a holy grail - should be used with proper risk management
Past performance does not guarantee future results
Recommended to backtest on your specific instrument and timeframe
Consider combining with volume analysis or other indicators for confirmation
Version History
v1.0: Initial release with entry signals and confirmation modes
v1.1: Added exit signals (trailing stop and take profit)
v1.2: Added color-coded trade zones (Long/Short/No Trade)
Credits
Original Pivot Point SuperTrend concept by LonesomeTheBlue
Modified with exit signals and trade zone visualization
License
Mozilla Public License 2.0
Example Setups
Conservative Swing Trading
Pivot Point Period: 2
ATR Factor: 3
ATR Period: 10
Entry Mode: Conservative
Exit Method: Both
Take Profit %: 4%
Aggressive Day Trading
Pivot Point Period: 2
ATR Factor: 2.5
ATR Period: 10
Entry Mode: Aggressive
Exit Method: Trailing Stop
Position Trading
Pivot Point Period: 3
ATR Factor: 4
ATR Period: 14
Entry Mode: Balanced
Exit Method: Both
Take Profit %: 8%
Disclaimer: This indicator is for educational purposes only. Trading involves substantial risk. Always do your own research and never trade with money you cannot afford to lose.
SMC and FVGHLThis indicator shows FVG and fib level also shows previous day high low , weekly high low, and monthly high low.. apply this indicator on chart and make trading easy...
XAUUSD Pro Strategy //@version=5
indicator("XAUUSD RR Buy Sell Indicator", overlay=true, max_labels_count=500, max_boxes_count=100)
// ===== INPUT =====
rr = input.float(2.0, "Risk Reward", step=0.1)
sl_pips = input.int(300, "Stop Loss (points)")
show_boxes = input.bool(true, "Show Entry SL TP Box")
// ===== EMA =====
ema9 = ta.ema(close, 9)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
plot(ema9, color=color.yellow)
plot(ema50, color=color.blue)
plot(ema200,color=color.red)
// ===== TREND =====
bull = ema50 > ema200
bear = ema50 < ema200
// ===== ENTRY CONDITIONS =====
buyCond = bull and close > ema9 and close < ema9
sellCond = bear and close < ema9 and close > ema9
// ===== PRICE CALC =====
buyEntry = close
buySL = buyEntry - sl_pips * syminfo.mintick
buyTP = buyEntry + (buyEntry - buySL) * rr
sellEntry = close
sellSL = sellEntry + sl_pips * syminfo.mintick
sellTP = sellEntry - (sellSL - sellEntry) * rr
// ===== DRAW =====
if buyCond
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white)
if show_boxes
box.new(bar_index, buyEntry, bar_index + 5, buySL, bgcolor=color.new(color.red,80))
box.new(bar_index, buyTP, bar_index + 5, buyEntry, bgcolor=color.new(color.green,80))
if sellCond
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white)
if show_boxes
box.new(bar_index, sellSL, bar_index + 5, sellEntry, bgcolor=color.new(color.red,80))
box.new(bar_index, sellEntry, bar_index + 5, sellTP, bgcolor=color.new(color.green,80))
Short Position (Manual Setup)TVC:GOLD
This script is for short position setup manually....
Just enter the following data ......
1. higher entry price
2. lower entry price
3. stop loss price
4. targets ( up to 5 targets)
5- extra targets ( up to 3 extra targets)
then you will have the short position draw in the chart with the trade summary including risk and reward percentage.
by @Crypto_alphabit
Radar of Volatilidade ATR%ATR% to compare wich assets are displaying bigger intra-day ranges
- ATR 7 to follow quick scalps
- ATR 24 in the 1H represents 1 day cycle
