FOCUS all in one (N-TABLOUH)It took me hours and hours to build this indicator
so it shows the important stuff we need to watch as traders! Here you see a price label with a countdown,
how much the asset has retraced from its high or low,
and the total session range.
You also get 4h separators to show the move, keeping you aware of the 4/8 or 12h window. Plus, there is a table showing the assets you want to trade so we don't have to go flip charts and waste time
อินดิเคเตอร์และกลยุทธ์
RS Filtered RSIRS Filtered RSI (RSF RSI) | MisinkoMaster
The RS Filtered RSI is an advanced RSI-based indicator that enhances the traditional RSI by applying a custom filtering technique using Fourier transform principles. This reduces noise and improves the clarity of signals, helping traders better identify trend direction and potential reversals.
Key Features
Combines classic RSI calculation with Fourier-based filtering for noise reduction
Dynamically adapts to price momentum using Relative Strength filtering
Provides clear bullish and bearish trend signals with customizable thresholds
Includes overbought and oversold levels for better entry and exit timing
Plots divergence histogram to highlight momentum changes
Candle coloring aligns with trend direction for intuitive reading
Highly configurable via inputs for RSI length, filter length, Fourier length, and thresholds
How It Works
Calculates a standard RSI on the selected price source over the chosen length.
Applies a Discrete Fourier Transform (DFT) on recent price data to extract dominant frequency components and filter noise (code adapted from @BackQuant).
Uses Fourier magnitudes combined with RSI values to build a filter that strengthens the RSI signal and filters weak moves.
Applies upper and lower thresholds on the filtered RSI to define bullish and bearish trends.
Visualizes trend signals, divergence, and overbought/oversold zones with colored plots and candles.
Inputs Overview
Length — RSI calculation period
Source — Price input (default: close)
Filter Length — Length for Relative Strength filter
Fourier Length — Number of bars used for Fourier transform
Upper Threshold — Level above which bullish trend is signaled
Lower Threshold — Level below which bearish trend is signaled
Overbought — RSI level considered overbought
Oversold — RSI level considered oversold
Usage Notes
Best suited for traders who want a smoother, less noisy RSI signal especially in volatile markets.
Can be combined with other indicators or price action for better confirmation.
Adjust Fourier length and filter parameters to balance smoothness and responsiveness.
Use divergence histogram to spot momentum shifts early.
Candle coloring makes trend identification more intuitive.
Not a standalone trading signal — always backtest and manage risk accordingly.
Shout Out
Special thanks to @BackQuant for the Fourier transform code that inspired the filtering technique in this indicator.
Disclaimer
This indicator is for educational use only and does not constitute financial advice. Trading involves risk. Please do your own research and trade responsibly.
ZERO LEVEL ENTRY BY SIDDAM RAJUOverview The Intraday Low Tracker is a specialized price-action strategy designed to catch potential reversals or pullbacks from new intraday lows. Unlike standard indicators that repaint or give premature signals, this tool uses a strict "Wait & Break" logic. It identifies a new low, waits for a confirmation candle, and only triggers an entry if the market proves strength by breaking above that confirmation level.
How It Works (The Logic)
Identifies the Low: The indicator continuously tracks the market to find the lowest low of the current day.
The "After Candle" Setup: Once a new low is established, the indicator waits for the immediate next candle (the "After Candle") to close.
The Setup Zone:
Green Line (Entry): Drawn at the High of the "After Candle."
Red Line (Stop Loss): Drawn at the Day Low.
The Trigger (Strict Entry):
A signal is NOT counted just because lines are drawn.
The system enters "WAITING FOR BREAKOUT" mode.
An entry is valid ONLY if price actively breaks ABOVE the Green Entry Line.
Trade Management: Once triggered, the trade remains active until it hits the user-defined Target (Blue Line) or the Stop Loss (Red Line).
Key Features
Strict Breakout Logic: Prevents false entries by requiring price to actually move above the setup candle.
Live Dashboard: A clean table on the chart displays:
Status: "Scanning", "Waiting for Breakout", or "Trade Active".
Levels: Exact prices for Entry, Target, and Stop Loss.
Statistics: Tracks "Total Entries", "Targets Hit", and "SL Hit" for the current session.
Visual Clarity:
Green Entry Label: Appears ABOVE the confirmation candle.
Red SL Label: Appears BELOW the confirmation candle.
Dynamic Lines: Lines automatically update or vanish if a setup is invalidated (e.g., if a new lower low is made before entry).
Settings
Target Profit %: Set your desired percentage gain (default is 10%).
Visual Customization: Change line colors, styles, and widths to fit your chart theme.
Table Size: Adjust the dashboard size (Tiny, Small, Normal, Large).
How to Use
Apply the indicator to your intraday timeframe (e.g., 1-minute, 5-minute).
Wait for the Green/Red lines and the "ENTRY" label to appear.
Do not enter immediately. Watch the status table.
Enter the trade only when price crosses the Green Line.
Exit at the Blue Target Line or if price falls back to the Red SL Line.
Disclaimer This tool is for educational and informational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
Trend FollowingTrend Following is a visual trend-tracking indicator built on multiple exponential moving averages (EMAs) and market-context confirmation.
The indicator combines:
Slow EMA (50) to define the primary trend
Fast EMA (20) for intermediate trend alignment
Fastest EMA (9) for timing and sensitivity
200 SMA as a long-term structural reference
The moving averages change color dynamically:
Green when the MA is rising and price is above it (healthy trend)
Red when the MA is falling and price is below it (downtrend)
Yellow during transition phases, consolidation, or loss of momentum
The chart background is also color-coded to highlight the market regime:
Green → bullish bias (trend continuation)
Red → bearish bias
Black → conflict, correction, or consolidation zones (avoid aggressive entries)
Additionally, the script includes:
Logic for identifying low-wick candles, indicating directional strength
Volume confirmation using a 21-period volume moving average
📌 Indicator purpose:
To help traders stay aligned with the dominant trend, avoid low-probability environments, and improve timing on pullbacks and continuation moves.
📈 Best suited for:
Trend following
Swing trading
Position trading
Market context and trend confirmation before technical setups
⚠️ This indicator does not generate automated signals. It is designed as a context and confirmation tool and should be used alongside proper risk management and a well-defined trading strategy.
Filtered Percentile OscillatorFiltered Percentile Oscillator (FPO | MisinkoMaster)
The Filtered Percentile Oscillator is a modern trend-following tool designed to combine the power of percentile ranking with adaptive trend strength filtering. By integrating a filter based on ADX strength, this oscillator aims to reduce noise and improve signal quality, helping traders identify more reliable bullish and bearish momentum zones.
This indicator works well across different markets, especially where volatility and trend clarity fluctuate. Although it can be noisy at times, the intelligent filtering mechanism provides strong potential for spotting actionable trend signals.
🔍 Concept & Idea
The idea behind the Filtered Percentile Oscillator is to use the percentile rank of price changes as a normalized measure of momentum, then apply an adaptive filter based on the Average Directional Index (ADX) to adjust sensitivity dynamically.
By combining these two concepts:
The Percentile Oscillator captures how extreme the current price is relative to recent price history.
The ADX-based filter adjusts threshold levels and confirms if the market is trending strongly enough to trust these percentile signals.
This dual-filtering mechanism improves the indicator’s ability to avoid false signals caused by noisy or non-trending environments.
⚙️ How It Works
The indicator calculates the Percentile Rank of the user-selected price source over a defined length (len). This percentile oscillator oscillates between -100% and +100%, reflecting relative price positioning.
It calculates the ADX and its percentile rank over a separate filter length (adx_len and ap_len) to estimate trend strength and market activity.
A combined potential filter checks if the sum of the absolute percentile oscillator and ADX percentile exceeds a user-defined threshold (pot_t). This filter controls whether signals are considered valid.
Thresholds for long and short signals dynamically adapt based on whether the ADX percentile exceeds the filter threshold (adx_t):
When strong trend strength is detected (ADX percentile > threshold), tighter upper and lower thresholds (ut and lt) apply to capture sharper trend signals.
When trend strength is weaker, wider thresholds (utm and ltm) are used to filter noise and reduce false signals.
Trend states are determined by comparing the percentile oscillator to these adaptive thresholds and validating the potential filter condition.
Overbought and oversold zones are also plotted for identifying potential reversal or exhaustion areas.
🧩 Inputs Overview
Length – Controls the lookback period for the Percentile Oscillator calculation (default 29).
Source – The price data source used for oscillator calculation (default: close).
Filter Length – Lookback period for ADX calculation used as a filter (default 12).
Filter % Length – Length used to calculate the percentile rank of the ADX filter (default 8).
Trending Upper Threshold – Upper bound for bullish signals when trend strength is strong (default 10).
Trending Lower Threshold – Lower bound for bearish signals when trend strength is strong (default -10).
Ranging Upper Threshold – Upper bound for bullish signals when trend strength is weak (default 15).
Ranging Lower Threshold – Lower bound for bearish signals when trend strength is weak (default -15).
Sum Filter Threshold – Minimum combined percentile value required to validate signals (default 100).
Filter Threshold – Minimum ADX percentile value required to switch to tighter thresholds (default 50).
Overbought – Level indicating overbought conditions for the oscillator (default 80).
Oversold – Level indicating oversold conditions for the oscillator (default -80).
📌 Usage Notes
Adaptive Filtering: The indicator dynamically adjusts sensitivity to market trend strength, reducing false signals during ranging or low-activity periods.
Normalized Momentum: Using percentile ranks allows comparison across different instruments and timeframes on a consistent scale.
Trend Confirmation: The ADX percentile filter ensures signals are stronger and more reliable when the market is trending.
Visual Guidance: Colored plots, threshold lines, and background fills improve signal interpretation and decision-making.
Customization: Thresholds and lengths can be fine-tuned for different markets or trading styles.
Complementary Use: Best combined with volume analysis, price action, or other indicators for comprehensive trade confirmation.
Backtest First: Always validate settings on historical data to match your preferred instrument and timeframe before live trading.
⚠️ Disclaimer
This indicator is provided solely for educational and analytical use. It is not financial advice. Trading involves risk, and users should perform their own due diligence before making trading decisions.
Enjoy improved trend filtering with the Filtered Percentile Oscillator!
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend
Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise.
Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases.
🔍 How It Works
The indicator combines:
• A user-selectable Moving Average as the core trend base
• ATR-based volatility bands to detect trend transitions
• An adaptive filter that determines when the base should update
The adaptive mechanism evaluates market conditions using one of several selectable drivers:
• ATR expansion (volatility increase)
• Rate-of-change acceleration
• Rising trading volume
• Increasing divergence between price and the moving average
If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations.
Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands.
When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance.
⚙️ Key Features
• Adaptive moving-average baseline
• Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA
• ATR-based volatility bands
• Multiple adaptation modes (volatility, momentum, volume, divergence)
• Reduced noise during consolidation phases
• Smooth trend visualization and transition markers
🧩 Inputs Overview
• Moving-average type and length
• Price source selection
• ATR length and multiplier
• Adaptive filter method selection
📌 Usage Notes
• Useful for identifying prevailing market direction and trend shifts.
• Adaptive filtering can help reduce false signals during sideways markets.
• Signals may update intrabar on lower timeframes.
• Best results are achieved when combined with confirmation tools or risk management rules.
• This script is intended for analytical purposes and does not provide financial advice.
Stop Getting Whipsawed. Meet Fimathe Elite V40 (State Machine LoThe trader's biggest enemy isn't the market—it's indecision and market noise. "Should I enter now?", "The price pulled back, should I exit or hold?".
To solve this, I developed Fimathe Elite V40. This is not just a simple indicator; it is a complete Trade Management System based on the renowned Fimathe technique (Reference Channels & Neutral Zones), but armored with institutional-grade algorithms to filter out fake signals.
💡 WHY IS THIS SCRIPT DIFFERENT?
Most indicators repaint or spam "Sell" signals the moment a candle turns red, even during a healthy bullish pullback. Fimathe Elite V40 solves this using a sophisticated State Machine Engine.
1. The "State Machine" Technology (No Noise): The script has "memory". It knows if you are already positioned.
Silence: If you are in a trade, it ignores minor fluctuations. It will NOT spam new signals during a consolidation.
Action: It only alerts you in two specific scenarios: Profit Expansion (Level Breakout) or True Reversal (Close against the Stop Loss).
2. Smart Trend Detection (Linear Regression): Instead of guessing the trend, the script calculates the mathematical slope of the last X bars using Linear Regression.
If the slope is positive = It creates Bullish Channels (Reference Channel on Top).
If the slope is negative = It creates Bearish Channels (Reference Channel on Bottom). This prevents you from trading against the mathematical flow of the market.
3. Visual Trade Management:
Active Stop Loss (Orange Line): A visual floor/ceiling that trails the price. If the price does not close beyond this line, you stay in the trade, ignoring emotional wicks.
Active Target (Green Line): Shows exactly where the next expansion level is.
Full Grid: Automatically projects Level 1, 2, and 3 for roadmap planning.
🚀 HOW TO TRADE:
Wait for the Map: Let the script draw the CR (Reference Channel) and NZ (Neutral Zone) automatically (it skips the volatile opening minutes).
The Signal: Wait for the "BUY (Breakout)" or "SELL (Breakout)" label. This signal appears on the close of the breakout candle.
The Entry: Enter on the violation of that candle's high/low.
The Ride: Follow the Orange Line. As the price conquers new levels, the Stop Loss automatically moves up (Trailing Stop) to lock in profits.
🛡️ Risk Management: This tool is designed to force discipline. It visually shows you that a pullback is not a reversal, keeping you in the trend longer and getting you out immediately when the structure actually breaks.
SMC Pro: Institutional Bias & Liquidity Sweep EngineOverview This script is a high-confluence technical analysis tool designed for traders following Smart Money Concepts (SMC) and Price Action methodologies. Its primary objective is to filter trend-based signals (EMA 9/21 crossovers) by integrating two critical institutional filters: HTF Bias (Higher Timeframe Sentiment) and Directional Liquidity Sweeps.
Key Features & Technical Originality Unlike standard crossover indicators, this script introduces a multi-layered institutional validation logic:
Real-Time HTF Bias Dashboard: The indicator automatically calculates the Daily Bias based on the previous close's position relative to the "Equilibrium" (the 50% mark of the previous day's range). This sentiment is displayed via a clean UI dashboard in the top-right corner, ensuring traders stay aligned with the higher timeframe flow.
Directional Liquidity Sweeps: The engine identifies local highs and lows within a dynamic lookback period. A "BUY" signal is only triggered if the price has first performed a "Sweep Low" (raiding sell-side liquidity), and a "SELL" signal only follows a "Sweep High" (raiding buy-side liquidity). This effectively filters out "Bull/Bear Traps."
Adaptive Memory Logic: The signal engine "remembers" a liquidity raid for a configurable number of bars. This allows for natural price development before confirming the entry with the EMA cross, capturing the expansion phase of the move.
Weekly NWOG Anchor: Includes an automated New Week Opening Gap (NWOG) tracker. Following institutional liquidity principles, this box anchors from Friday’s close to the new week’s open. Per user-defined constraints, the projection is limited strictly to the current trading week to maintain chart clarity and relevance.
How to Use
Confluence: Look for "BUY" signals when the Dashboard displays a "BULLISH" Bias and a recent sweep of lows has occurred.
Context: Use the NWOG levels as institutional magnets; price often gravitates toward or rebalances these gaps before continuing its expansion.
Optimized Timeframes: Best suited for M1, M5, and M15 intraday scalping.
Disclaimer This indicator is a visual aid for technical analysis and does not constitute financial advice. Past performance does not guarantee future results.
Malaysian SnR and Decision Levels [DoN] Features
This script implements a specific Malaysian SnR (Support and Resistance) strategy combined with Decision Levels based on gap analysis. It is designed to help traders identify key reaction levels across multiple timeframes.
How it Works
SnR Levels (Current & Higher Timeframe)
The script calculates Support ("V" shape) and Resistance ("A" shape) based on fractal geometry.
It uses a configurable Pivot Depth (default: 3) to confirm peaks and valleys.
When a High or Low is confirmed by the subsequent bars, a horizontal level is drawn.
Fresh vs. History: The script distinguishes between "Fresh" levels (untouched) and "History" levels. When a level is broken, it converts into a "Role Reversal" line (Support Becomes Resistance - SBR, or Resistance Becomes Support - RBS).
Decision Levels (Gap Analysis)
The script identifies "Decision Levels" derived from specific H4 price action gaps.
A Bullish Decision Level is formed when consecutive bullish candles create a gap structure.
A Bearish Decision Level is formed by consecutive bearish candles.
These levels often act as significant liquidity zones where price may react.
How to Use
Trend Following: Look for price to retrace to a "Fresh" SnR level or Decision Level.
Confluence: The strongest signals occur when a current timeframe SnR level overlaps with a Higher Timeframe (HTF) level or a Decision Level.
Alerts: Users can set alerts for price touching active SnR lines or retesting broken history lines (Role Reversal).
Settings
Current Timeframe SnR: Adjust the pivot depth and colors for local support/resistance.
Decision Levels: Toggle H4 gap analysis.
Higher Timeframe Overlay: display daily/weekly levels on your current chart.
このスクリプトは、マレーシア式SnR（サポレジ）戦略とディシジョン・レベル（ギャップ分析）を組み合わせたツールです。
機能とロジック
SnRレベル（V字/A字）
フラクタル幾何学に基づき、一定期間（Depth）の高値・安値が確定したポイントにラインを引きます。
Fresh（新規）: まだブレイクされていないライン。
History（履歴）: ブレイクされたラインは、ロールリバーサル（サポレジ転換）ラインとして点線で表示されます（SBR/RBS）。
ディシジョン・レベル
主にH4（4時間足）のローソク足の形成パターンに基づき、強い売り買いのギャップが発生した地点を「Decision Level」として表示します。
使い方
上位足のラインやディシジョン・レベルが重なるポイント（コンフルエンス）でのプライスアクションに注目してください。アラートを設定することで、ラインへのタッチやリテストを通知することが可能です。
Ker 2021 EMA/SMA這個腳本主要是EMA/SMA的基礎
加上可調動範圍
數字可以調動
但是因為我不是coding人員
所以有些欄位編排不正確
但是使用上沒有什麼問題
如果你有coding的能力
可以聯絡我 幫我補正 謝謝
This script is mainly based on EMA/SMA, with adjustable ranges and parameters.
The values can be modified freely.
Since I’m not a programmer, some of the field formatting may not be perfectly structured.
However, it works fine in actual use.
If you have coding experience and would like to help improve or clean up the code, feel free to contact me. Thank you.
Moving Average Divergence BandsMoving Average Divergence Bands
Moving Average Divergence Bands (MADB) is a trend-following overlay indicator designed to capture fast-moving trends while filtering out low-quality signals. It was developed with highly volatile markets in mind, particularly altcoins, where rapid entries are important but false breakouts are common.
The indicator builds adaptive price bands using two moving averages of different speeds and applies a statistical filter to allow signals only when market conditions show sufficient momentum. The result is a structure that attempts to combine fast reaction with controlled signal quality.
🚀 Core Idea
The objective of MADB is to create bands that respond quickly to market moves while avoiding entries during low-probability conditions.
This is achieved by combining fast and slower moving averages and activating signals only when price movement shows statistically meaningful deviation from its recent norm. In this way, entries tend to occur during periods with higher potential reward and reduced noise.
🔍 How It Works
The indicator calculates two moving averages:
• A primary moving average using the chosen length
• A secondary moving average using half of that length
Both averages are mathematically combined using exponent-based transformations, producing two divergence-based values. The higher value becomes the upper band, and the lower value becomes the lower band.
To filter signals, the script then computes a Z-score of price relative to its recent average. A trend switch occurs only when:
• Price breaks above or below the adaptive band, and
• The absolute Z-score exceeds the user-defined threshold.
This ensures signals occur only when price movement is statistically significant, reducing entries during low-volatility noise.
⚙️ Key Features
• Fast trend-following bands optimized for volatile markets
• Dual moving-average divergence construction
• Z-score filtering to reduce false signals
• Multiple moving-average types supported
• Adjustable statistical sensitivity
• Visual band and trend coloring styles
🧩 Inputs Overview
• Moving-average length and source
• Moving-average type selection
• Z-score calculation length
• Z-score activation threshold
• Visual style presets for band coloring
📌 Usage Notes
• Designed to identify strong market moves while filtering weak breakouts.
• Particularly suited for volatile markets and altcoin trading environments.
• Band breaks without sufficient Z-score strength will not trigger signals.
• Signals may change intrabar on lower timeframes.
• Best used alongside risk management and confirmation tools.
• No indicator eliminates risk; testing and validation are always recommended.
This script is intended for analytical use only and does not constitute financial advice.
Divergence Detector [KTY] Divergence Detector
Hi, I'm Kim Thank You 👋
KTY = Kim Thank You (김땡큐)
Detects divergences in real-time across 6 indicators: MACD, RSI, Stochastic, CCI, Momentum, MFI.
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📊 FEATURES
- Multi-Indicator Detection
- Scans 6 indicators simultaneously
- MACD, RSI, Stochastic, CCI, Momentum, MFI
- Divergence Types
- Bullish Divergence (Green): Price lower low, indicator higher low → ↑
- Bearish Divergence (Red): Price higher high, indicator lower high → ↓
- Visual Display
- Arrow lines connecting pivot points
- Labels showing indicator names with direction (↑/↓)
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✅ HOW TO USE
- Bullish divergence → Check for potential upward move
- Bearish divergence → Check for potential downward move
- Multiple indicators diverging → Higher reliability
- Combine with S/R levels for confirmation
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💡 TIPS
- Divergence indicates "possibility" not certainty
- Strong trends may ignore divergences
- Higher timeframe divergences are more reliable
- Use with other indicators for confirmation
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⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
New York | Asia | London - Session Range + ORB - [EntryLab]Session Ranges & 15min ORB – Asia, London, New YorkShort Title
This indicator plots the high and low of the three major trading sessions (Asia, London, New York) as well as the Opening Range Breakout (ORB) levels based on the first 15 minutes of each session.
Features: Full session high/low ranges for Asia (00:00–09:00 UTC), London (07:00–16:00 UTC), and New York (~13:30–20:00 UTC). Times are approximate UTC and may need adjustment depending on broker timezone or DST.
ORB: high and low calculated from the first 15-minute period (or equivalent bars) at the start of each session.
Customizable: toggle sessions on/off, change ORB duration, line styles, colors.
How to use:
Traders often monitor price action around prior session highs and lows to identify potential liquidity grabs or sweeps. The ORB provides additional confluence for gauging the session's potential directional bias or breakout levels.For example:A sweep of a prior session high/low can signal liquidity being taken.
Price breaking above/below the session's ORB high/low may indicate momentum in that direction for the current session.
This script combines multi-session range visualization with per-session ORB levels in one tool, which can help assess where liquidity pools may exist and where price could be drawn to fill or sweep certain areas.Best used on lower timeframes (e.g., 1m–15m) for intraday analysis. Session times are fixed (no automatic DST handling); users can modify them in the code if needed.Not financial advice. Trading involves significant risk of loss. Use at your own discretion and always test thoroughly.
Delta Flow Profile [Ham]Variation of LuxAlgo original. The "Show Values" options allows you to turn off volume values printed on each bar. Also increased number of rows available
Adaptive MA SuperTrendAdaptive MA SuperTrend
Adaptive MA SuperTrend is a trend-following overlay indicator designed to deliver smoother and more responsive signals than the classical SuperTrend by dynamically combining two moving averages with volatility-based band calculations.
Instead of relying on a single average, the script calculates a selectable pair of moving averages and continuously assigns them as the upper or lower base depending on which value is greater at each bar. This adaptive swapping allows the structure to respond better to changing market conditions while preserving overall trend stability.
A volatility component is then added to the bases using either:
• Average True Range (ATR)
• Standard Deviation (SD)
The selected volatility measure is multiplied by a configurable factor to create adaptive bands around the moving-average bases. Price crossing these bands determines trend direction changes.
When price crosses above the upper band, the trend switches bullish and the lower band becomes the trailing support line. When price crosses below the lower band, the trend switches bearish and the upper band becomes the trailing resistance line. Only the active trend side is plotted to reduce visual noise and improve chart clarity.
Multiple moving-average pair options are provided, allowing users to choose combinations that match their preferred balance between smoothness and responsiveness, including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and ALMA-based combinations. Additional parameters are available when ALMA is selected.
⚙️ Key Features
• Adaptive swapping between two moving averages
• Choice of MA pairs with different responsiveness profiles
• ATR or Standard Deviation volatility bands
• Configurable volatility length and multiplier
• Optional ALMA tuning parameters
• Trend visualization with color-coded support/resistance lines
• Signal markers displayed on trend transitions
🧩 Inputs Overview
• Moving average pair selection
• Moving average length and price source
• Volatility method, length, and multiplier
• Optional ALMA offset and sigma parameters
📌 Usage Notes
• Designed to help visualize prevailing trend direction and potential trend shifts.
• Can be combined with confirmation tools or risk management rules within broader strategies.
• Signals are generated when price crosses volatility-adjusted moving-average bands; signals may update intrabar, especially on lower timeframes.
• This script is intended for analytical purposes and does not constitute financial advice. Users should test and validate performance within their own workflow before applying it to live trading.
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe
by @theadventuredan
This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe.
Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers:
Mid TF = current chart TF × Mid Multiplier
Slow TF = current chart TF × Slow Multiplier
Example (default multipliers: 3× and 12×):
On 5m: Mid = 15m, Slow = 60m
On 15m: Mid = 45m, Slow = 180m (3h)
On 1h: Mid = 3h, Slow = 12h
This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias).
How it works
The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes.
It calculates the adaptive MTF targets:
midMin = curMin × midMult
slowMin = curMin × slowMult
It requests the EMA from those higher timeframes via request.security() and plots them on your chart.
Optional:
A label can display the currently calculated Mid and Slow TFs (in minutes).
Inputs
EMA Length: EMA period (default 50)
Mid TF Multiplier: how many times higher the mid timeframe should be (default 3)
Slow TF Multiplier: how many times higher the slow timeframe should be (default 12)
Use confirmed HTF values (safer):
When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles.
This may lag slightly but is often preferred for signal consistency.
Show TF label: shows a label with the current adaptive TFs
Notes / Limitations
Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected.
MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values.
This is an EMA overlay tool — not a standalone buy/sell system.
Suggested usage
Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias
Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups
Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference
[ggarritano] MTF Zones + Context Table + POC.This indicator maps Premium, Equilibrium and Discount zones across up to 8 configurable timeframes, based on the most recent swing range (pivot high/low) and extends the zones forward in real time. It also includes a Context Table that summarizes, per timeframe:
Current Zone (Premium / Equilibrium / Discount + mid areas)
% Position inside the swing range (-100 to +100)
Context (Discount / Neutral / Premium) derived from the % value
Distance to the nearest pivot (Stop (pts))
Distance to the next relevant zone (Target (pts))
Additionally, the script can plot:
Previous period levels: PDH/PDL, PWH/PWL, PMH/PML
Pivot POC (Approx.) per timeframe (optional and independent from zone plotting)
⚠️ POC note: Pine Script does not provide true volume-at-price data. The “Pivot POC” here is an approximation built by accumulating candle volume into price bins inside the active pivot range (HLC3 mode is lighter; Spread mode is more profile-like but heavier).
Use the timeframe toggles to control what you plot and what appears in the table, and adjust Pivot Length + Neutral Band to fit your market and style.
Price Levels Wall//@version=6
indicator("Price Levels From File", overlay = true)
// === Public parameters ===
string fileContent = input.text_area("Contenu du fichier", "Collez le contenu de Niveaux.txt ici")
color minColor = input.color(color.new(color.green, 0), "Couleur Min", group = "Couleurs")
color maxColor = input.color(color.new(color.red, 0), "Couleur Max", group = "Couleurs")
color acheteursColor = input.color(color.new(color.lime, 0), "Couleur Acheteurs", group = "Couleurs")
color vendeursColor = input.color(color.new(color.orange, 0), "Couleur Vendeurs", group = "Couleurs")
color wallUpperColor = input.color(color.new(color.fuchsia, 0), "Couleur Wall Upper", group = "Couleurs")
color wallMidColor = input.color(color.new(color.gray, 0), "Couleur Wall Mid", group = "Couleurs")
color controlMidColor = input.color(color.new(color.green, 0), "Couleur Control Mid", group = "Couleurs")
color wallLowerColor = input.color(color.new(color.aqua, 0), "Couleur Wall Lower", group = "Couleurs")
color highlightColor = input.color(color.new(#FFFF00, 88), "Couleur Highlight", group = "Couleurs")
int lineWidth = input.int(2, "Épaisseur ligne", group = "Apparence")
bool enableMinMinEventHighlight = input.bool(true, "Highlight Min–Min Event", group = "Options")
bool enableMaxMaxEventHighlight = input.bool(true, "Highlight Max–Max Event", group = "Options")
// === Private fields ===
var array prices = array.new()
var array labels = array.new()
var array colors = array.new()
var float minOneDayLevel = na
var float maxOneDayLevel = na
var float minEventLevel = na
var float maxEventLevel = na
var bool initialized = false
// === Helper functions ===
tryParse(string s) =>
string s_replaced = str.replace_all(s, ",", ".")
float val = str.tonumber(s_replaced)
na(val) ? na : val
trim(string s) =>
string res = s
while str.length(res) > 0 and (str.substring(res, 0, 1) == " " or str.substring(res, 0, 1) == "\t")
res := str.substring(res, 1)
while str.length(res) > 0 and (str.substring(res, str.length(res) - 1) == " " or str.substring(res, str.length(res) - 1) == "\t")
res := str.substring(res, 0, str.length(res) - 1)
res
extractValue(string line) =>
int colonIdx = str.pos(line, ":")
if colonIdx == -1
na
else
string valueStr = str.substring(line, colonIdx + 1)
valueStr := trim(valueStr)
tryParse(valueStr)
// === Parsing ===
if not initialized and barstate.islast
initialized := true
array rawLines = str.split(fileContent, " ")
for i = 0 to array.size(rawLines) - 1
string raw = array.get(rawLines, i)
string line = trim(raw)
if line == ""
continue
string lower = str.lower(line)
// Extract levels based on keywords
if str.contains(lower, "max event")
maxEventLevel := extractValue(line)
else if str.contains(lower, "max 1d")
maxOneDayLevel := extractValue(line)
else if str.contains(lower, "wall upper")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Wall Upper")
array.push(colors, wallUpperColor)
else if str.contains(lower, "buyers ctrl")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Buyers Ctrl")
array.push(colors, acheteursColor)
else if str.contains(lower, "wall mid")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Wall Mid")
array.push(colors, wallMidColor)
else if str.contains(lower, "control mid")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Control Mid")
array.push(colors, controlMidColor)
else if str.contains(lower, "sellers ctrl")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Sellers Ctrl")
array.push(colors, vendeursColor)
else if str.contains(lower, "wall lower")
float val = extractValue(line)
if not na(val)
array.push(prices, val)
array.push(labels, "Wall Lower")
array.push(colors, wallLowerColor)
else if str.contains(lower, "min 1d")
minOneDayLevel := extractValue(line)
else if str.contains(lower, "min event")
minEventLevel := extractValue(line)
// Add special levels
if not na(maxOneDayLevel)
array.push(prices, maxOneDayLevel)
array.push(labels, "Max 1D")
array.push(colors, maxColor)
if not na(maxEventLevel)
array.push(prices, maxEventLevel)
array.push(labels, "Max Event")
array.push(colors, maxColor)
if not na(minOneDayLevel)
array.push(prices, minOneDayLevel)
array.push(labels, "Min 1D")
array.push(colors, minColor)
if not na(minEventLevel)
array.push(prices, minEventLevel)
array.push(labels, "Min Event")
array.push(colors, minColor)
// === Rendering ===
var box minBand = na
var box maxBand = na
if barstate.islast and initialized
if enableMinMinEventHighlight and not na(minOneDayLevel) and not na(minEventLevel) and na(minBand)
float top = math.max(minOneDayLevel, minEventLevel)
float bottom = math.min(minOneDayLevel, minEventLevel)
minBand := box.new(left = bar_index, top = top, right = bar_index + 1, bottom = bottom, xloc = xloc.bar_index, extend = extend.both, bgcolor = highlightColor, border_width = 0)
if enableMaxMaxEventHighlight and not na(maxOneDayLevel) and not na(maxEventLevel) and na(maxBand)
float top = math.max(maxOneDayLevel, maxEventLevel)
float bottom = math.min(maxOneDayLevel, maxEventLevel)
maxBand := box.new(left = bar_index, top = top, right = bar_index + 1, bottom = bottom, xloc = xloc.bar_index, extend = extend.both, bgcolor = highlightColor, border_width = 0)
var array hlines = array.new()
var array rightLabels = array.new()
if barstate.islast and initialized and array.size(hlines) == 0
for i = 0 to array.size(prices) - 1
float p = array.get(prices, i)
string lbl = array.get(labels, i)
color col = array.get(colors, i)
line hl = line.new(bar_index, p, bar_index + 1, p, xloc = xloc.bar_index, extend = extend.both, color = col, width = lineWidth)
array.push(hlines, hl)
string labelText = lbl + " " + str.tostring(p)
label rightLbl = label.new(bar_index + 1, p, labelText, xloc = xloc.bar_index, yloc = yloc.price, style = label.style_label_right, color = na, textcolor = col, size = size.small)
array.push(rightLabels, rightLbl)
if barstate.islast
for i = 0 to array.size(rightLabels) - 1
label.set_x(array.get(rightLabels, i), bar_index + 1)
Adaptive For LoopAdaptive For Loop (AFL | MisinkoMaster)
The Adaptive For Loop is an innovative trend-following indicator designed to deliver fast and reliable signals while minimizing false positives. By dynamically assessing the relationship between current and historical price data across multiple price components—open, high, low, and close—this tool filters out noise and highlights the strongest trend signals.
Unlike traditional indicators that rely on a single price input, Adaptive For Loop harnesses the combined strength of multiple price points, intelligently selecting the most relevant signal to adapt to changing market conditions. This approach helps traders identify genuine trend momentum with clarity and speed.
🔍 Concept & Idea
The idea behind Adaptive For Loop is to improve trend detection by simultaneously evaluating multiple price sources instead of just one. Each price component (open, high, low, close) undergoes a scoring process comparing the current price to a series of historical prices within a user-defined lookback range.
Since different price points may exhibit varying degrees of noise or trend clarity at different times, the indicator selects the source with the strongest directional signal based on absolute scoring. This adaptive selection reduces noise and enhances signal reliability while maintaining fast responsiveness.
⚙️ How It Works
The indicator performs a looped comparison for each price series (open, high, low, close) over a range specified by the user (from start to end bars ago).
For each bar in the range, it increments or decrements a score depending on whether the current price is higher or lower than the compared historical price.
After scoring all four price sources, the indicator selects the score with the greatest absolute value to represent the dominant market momentum.
This dominant score is then evaluated against user-defined upper and lower thresholds to determine the market trend state:
Above the upper threshold: bullish/uptrend signal
Below the lower threshold: bearish/downtrend signal
Between thresholds: neutral/no clear trend
The indicator plots the score, thresholds, and highlights the trend visually, including colored candlesticks representing the detected trend.
🧩 Inputs Overview
From (start) – Defines the start bar offset for the lookback range in the for loop (default 0).
To (end) – Defines the end bar offset for the lookback range in the for loop (default 45).
Upper Threshold – Score level above which an uptrend signal is triggered (default 39).
Lower Threshold – Score level below which a downtrend signal is triggered (default -12).
📌 Usage Notes
Adaptive Selection: The indicator adapts by selecting the price source with the strongest trend signal, reducing false signals caused by noisy individual price inputs.
Speed and Noise: Designed for fast execution and minimal noise, making it especially useful in volatile markets such as BTCUSD.
Visual Clarity: Colored candlesticks and score plots help traders quickly identify trend direction and strength.
Customization: Users can adjust the lookback range and thresholds to fit different assets and timeframes.
Complementary Tool: Best used alongside other confirmation indicators and sound risk management practices.
Backtesting Recommended: Always backtest and validate settings on historical data to optimize performance for your specific market.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own due diligence before making any investment decisions.
Enjoy trading with Adaptive For Loop!
S/R Zones
### What it does
**Smart S/R Zones** automatically detects and visualizes **support and resistance zones** by:
* Finding **confirmed swing highs/lows** (pivot points)
* **Clustering nearby pivots** into price zones
* Scoring each zone by **how many pivots** it contains (zone “strength”)
* Marking zones as **active** or **broken**, and stopping broken zones at the breakout bar
* Keeping the chart clean by removing pivots and zones outside a configurable lookback window
### Core logic (how it works)
1. **Pivot detection (swing points)**
* Uses `ta.pivothigh()` and `ta.pivotlow()` with:
* `leftBars` bars to the left
* `rightBars` bars to the right
* Important: pivots are **confirmed only after `rightBars` bars**, so signals are delayed by design.
2. **Pivot memory + lookback cleanup**
* Each pivot is stored with:
* price
* type: `1` = resistance pivot high, `-1` = support pivot low
* pivot bar index (pivot’s original bar)
* active/broken flag
* breakout bar index (when it got broken)
* Pivots older than `lookbackPeriod` bars are removed.
3. **Dynamic zone width**
* Computes the recent range:
* `priceRange = highest(high, lookbackPeriod) - lowest(low, lookbackPeriod)`
* Converts it to a maximum zone width:
* `maxZoneWidth = priceRange * zoneWidthPct / 100`
* This makes zones adapt to volatility/regime changes.
4. **Breakout detection (pivot invalidation)**
* A resistance pivot is marked broken when:
* `close > pivotPrice * (1 + breakoutPct/100)`
* A support pivot is marked broken when:
* `close < pivotPrice * (1 - breakoutPct/100)`
* Note: breakout is **close-based**, not intrabar wick-based.
5. **Clustering pivots into zones**
* Pivots are grouped into zones **only with the same type** (support with support, resistance with resistance).
* A pivot joins a zone if it is close to the zone midpoint:
* `abs(price - zoneMid) <= maxZoneWidth/2`
* Zone boundaries expand to include the new pivot, but only if:
* `(newHigh - newLow) <= maxZoneWidth`
* Zone strength increments by 1 for each pivot added.
6. **Active vs broken zones (visual state)**
* Active zones extend to the **current bar**.
* Broken zones stop at their **breakout bar** (the bar index stored when the pivot was broken).
* Strength includes all pivots clustered, including pivots that later broke (as long as they are still in lookback).
### Visuals (what you see)
* **Green zones**: active support
* **Red zones**: active resistance
* **More transparent zones**: broken zones (support/resistance that was invalidated by a close beyond the breakout threshold)
* Optional labels:
* `S2`, `S3`… for support strength
* `R2`, `R3`… for resistance strength
* The number is the **count of clustered pivots** in that zone.
### Inputs (how to tune it)
* **Pivot Left Bars / Pivot Right Bars**
* Higher values = fewer pivots, more “major” swings, stronger zones
* Lower values = more pivots, more zones, more noise
* **Lookback Period**
* Limits how far back pivots are considered and keeps the chart uncluttered
* **Zone Width %**
* Controls how wide zones can get (as a % of recent range)
* Higher = more clustering, fewer broader zones
* Lower = tighter zones, more zones
* **Minimum Zone Strength**
* Filters weak zones. Example: set to 3 to show only zones formed by 3+ pivots
* **Breakout Threshold %**
* Defines how far price must close beyond a level to mark it broken
* Higher = fewer “false break” breaks, slower invalidation
* Lower = more responsive, more break markings
* **Show Strength Labels**
* Toggles S/R strength markers.
### How to use it in trading workflows
* **Zone reaction**: Watch for rejection/acceptance when price revisits a strong zone (`S3+`, `R3+`).
* **Breakout context**: A zone turning “broken” indicates price closed meaningfully beyond it (by threshold).
* **Confluence**: Use with your own context (trend, volatility, session structure, volume tools). This script is strictly price-structure based.
Smart Money Range + Displacement🧠 How This Indicator Works
This indicator is based on Smart Money Concepts, which follow how institutions actually move the market:
Build liquidity → Take liquidity → Show intent → Move price
It does not predict the market.
It reacts only after confirmation.
1️⃣ Trend Filter (EMA) – Market Direction
What it does:
The Exponential Moving Average (EMA) shows the dominant market direction.
How it’s used:
Price above EMA → bullish bias → only BUY signals
Price below EMA → bearish bias → only SELL signals
Why it matters:
Institutions usually push price in the direction of the higher-timeframe trend.
This filter removes low-probability counter-trend trades.
2️⃣ Smart Money Range – Liquidity Zone
What it does:
The indicator calculates the highest high and lowest low over a fixed number of candles to create a trading range.
Why this range matters:
Equal highs and equal lows form inside ranges
Retail stop-loss orders accumulate at range boundaries
These areas become liquidity pools
Institutions need liquidity to enter large positions — this shows where it is.
3️⃣ Liquidity Sweep – Stop Hunt Detection
What it does:
The indicator detects when price breaks above or below the range but fails to close outside it.
What this means:
Stops above highs or below lows are triggered
Retail traders are trapped
Smart money absorbs liquidity
This is manipulation, not a real breakout.
4️⃣ Displacement Candle – Institutional Entry
What it does:
The indicator checks for a candle with a body significantly larger than recent candles.
Why displacement is important:
Large candle bodies show strong order flow
Confirms that institutions have entered the market
Filters out weak or fake moves
No displacement = no trade.
5️⃣ Trade Confirmation Logic – Final Signal
BUY Signal Conditions
Liquidity taken below the range
Strong displacement candle
Price above EMA
SELL Signal Conditions
Liquidity taken above the range
Strong displacement candle
Price below EMA
Meaning:
Only trade after liquidity is taken and real momentum appears in trend direction.
6️⃣ Signal Plotting – Clear Execution
What you see on the chart:
BUY label below the candle
SELL label above the candle
Signals appear only after candle close, ensuring no repainting.
🔁 Market Behavior This Indicator Reads
Market moves sideways (range formation)
Liquidity builds
Stops are taken (false breakout)
Displacement confirms intent
Price expands in one direction
This is how institutional trading works.
⚠️ Best Usage Guidelines
Best timeframes: 15m, 30m, 1H
Avoid major news releases
Wait for candle close
Use structure-based stop loss, not fixed pips
🎯 Why This Indicator Is Effective
Logic-based, not lag-based
No repainting
Works on Gold, BTC, Forex, Indices
Filters noise and emotional trading
Market Internals SPY[TP]# Market Internals SPY Dashboard - TradingView Publication
## 📊 Overview
**Market Internals SPY ** is a comprehensive multi-factor market sentiment dashboard designed specifically for SPY (S&P 500 ETF) traders. This indicator combines four powerful market breadth signals into one easy-to-read interface, helping traders identify high-probability setups and avoid false breakouts.
---
## 🎯 What Makes This Indicator Unique?
Unlike single-indicator tools, this dashboard synthesizes **multiple market internals** to provide confluence-based trading signals:
- **CPR (Central Pivot Range)** - Institutional pivot levels
- **VIX (Volatility Index)** - Fear gauge
- **Put/Call Ratio** - Options sentiment with dynamic crossover alerts
- ** USI:ADD (Advance/Decline Line)** - Market breadth strength
All presented in a clean, real-time dashboard with visual alerts directly on your chart.
---
## 📈 Key Features
### 1. **Static Daily CPR Levels**
- Automatically plots Top CPR, Pivot, and Bottom CPR
- Levels remain fixed throughout the trading day (no repainting)
- **Trend Bias Indicator**: Green = Current Pivot > Previous Pivot (Bullish structure)
### 2. **Put/Call Ratio Crossover System**
- 10-period SMA smoothing for cleaner signals
- **Bullish Signal** (Green background): Put/Call crosses below SMA
- Indicates decreasing hedging activity (bullish)
- **Bearish Signal** (Red background): Put/Call crosses above SMA
- Indicates increasing hedging activity (bearish)
### 3. **Price/Breadth Divergence Detection**
- **Yellow Candles**: Highlight when price and USI:ADD diverge
- Price rising but USI:ADD falling = Potential reversal
- Price falling but USI:ADD rising = Possible bottom
### 4. **Comprehensive Real-Time Dashboard**
A top-right table displaying:
- **CPR Trend Bias**: Bullish/Bearish structure
- **VIX Level**: Current value + directional bias
- **Put/Call Ratio**: Live value + trend arrows
- **AD Line**: Breadth strength with directional indicators
### 5. **Intelligent Bar Coloring**
- **Green bars**: USI:ADD rising (breadth improving)
- **Red bars**: USI:ADD falling (breadth deteriorating)
- **Yellow bars**: Divergence warning (potential reversal)
---
## 🔧 How to Use
### Setup Instructions
1. **Add to Chart**: Apply to SPY on your preferred intraday timeframe (5m, 15m, 30m, 1H)
2. **Configure Symbols** (if needed):
- Default settings work for most platforms
- If "PCC" doesn't load, try: `PCCR`, `INDEX:PCC`, `USI:PCC`, or `CBOE:PCC`
- Ensure you have market internals data access ( USI:ADD , VIX)
### Trading Signals
#### 🟢 **Bullish Confluence** (High-Probability Long Setup)
- CPR Trend = BULLISH
- VIX falling or low (<20)
- Put/Call below SMA (or green background crossover)
- USI:ADD rising (green bars)
- **Entry**: Look for bullish price action at support levels
#### 🔴 **Bearish Confluence** (High-Probability Short Setup)
- CPR Trend = BEARISH
- VIX rising or elevated (>25)
- Put/Call above SMA (or red background crossover)
- USI:ADD falling (red bars)
- **Entry**: Look for bearish rejection at resistance
#### ⚠️ **Divergence Warning**
- Yellow candles indicate mismatch between price and breadth
- Consider profit-taking or reversals when divergence appears at extremes
### Best Practices
- **Multi-Timeframe Confirmation**: Check higher timeframes (4H, Daily) for trend alignment
- **Volume Confirmation**: Combine with volume analysis for stronger signals
- **Risk Management**: Always use stop losses; no indicator is 100% accurate
- **News Awareness**: Be cautious around major economic releases
---
## 📚 Understanding the Components
### CPR (Central Pivot Range)
Traditional floor trader pivot levels calculated from previous day's High, Low, Close:
- **Pivot (PP)** = (High + Low + Close) / 3
- **Top CPR (TC)** = (PP - BC) + PP
- **Bottom CPR (BC)** = (High + Low) / 2
### VIX (Volatility Index)
- **< 15**: Complacency, potential for sudden moves
- **15-20**: Normal conditions
- **20-30**: Elevated uncertainty
- **> 30**: High fear, potential bottoming process
### Put/Call Ratio
- **< 0.7**: Excessive optimism (contrarian bearish)
- **0.7-1.0**: Balanced sentiment
- **> 1.0**: Defensive positioning (contrarian bullish potential)
### USI:ADD (NYSE Advance/Decline)
- **> 0**: More stocks advancing than declining (bullish breadth)
- **< 0**: More stocks declining than advancing (bearish breadth)
- **Extreme readings** (±2000+): Potential exhaustion
---
## ⚙️ Customization Options
### Input Parameters
- **AD Line Symbol**: Default "ADD" (try "ADVN" or "NYSE:ADD" if needed)
- **VIX Symbol**: Default "VIX" (try "CBOE:VIX" if needed)
- **Put/Call Symbol**: Default "PCC" (alternatives listed above)
### Color Scheme
- Blue: CPR levels
- Purple: Pivot point
- Green: Bullish signals/backgrounds
- Red: Bearish signals/backgrounds
- Yellow: Divergence warnings
---
## 💡 Pro Tips
1. **Wait for Confluence**: Don't trade on a single indicator - wait for 3+ signals to align
2. **Use CPR as Dynamic S/R**: Price tends to react at TC and BC levels
3. **Watch the Crossovers**: Put/Call crossovers often precede significant moves
4. **Monitor Divergences**: Yellow candles at key levels are high-value signals
5. **Combine with Price Action**: This tool confirms direction - you still need entry triggers
---
## ⚠️ Limitations & Disclaimers
- Requires **premium data** for USI:ADD and VIX on most platforms
- Best suited for **intraday SPY trading** (may adapt to other indices)
- **Not a standalone system** - use with proper risk management
- Past performance does not guarantee future results
- Always backtest before live trading
---
## 🎓 Example Scenario
**Bullish Setup**:
- 9:45 AM EST: Price pulls back to Bottom CPR
- Dashboard shows: ✅ Bullish CPR Bias, ✅ VIX 16.5 (falling), ✅ Put/Call 0.68 ⬇️ Bull, ✅ USI:ADD +850 ⬆️
- Green background flashes (Put/Call crossunder)
- **Action**: Enter long at BC with stop below TC of previous day
---
## 📊 Ideal Timeframes
- **Primary**: 5-minute, 15-minute (day trading)
- **Secondary**: 30-minute, 1-hour (swing entries)
- **Confirmation**: Daily chart for trend context
---
## 🔄 Updates & Support
This indicator is actively maintained. If you encounter symbol loading issues:
1. Check your data provider includes market internals
2. Try alternative symbols in inputs
3. Ensure you're using a premium TradingView plan (if required)
---
## 📝 Version Information
- **Version**: 5 (Pine Script v5)
- **Type**: Overlay Indicator
- **Author**: tapaspattanaik
- **Category**: Market Internals / Breadth Analysis
---
## 🏆 Final Thoughts
This indicator is designed for **serious traders** who understand that edge comes from confluence, not single signals. By combining institutional pivot levels with real-time market internals, you gain a significant advantage in reading market sentiment and timing entries with precision.
**Remember**: The best trades happen when multiple independent factors align. Use this dashboard to find those moments.
---
## 📌 How to Add This Indicator
1. Open TradingView and navigate to Pine Editor
2. Copy the complete script code
3. Click "Add to Chart"
4. Configure symbols if needed (see Setup Instructions above)
5. Adjust position/colors to your preference
---
**Happy Trading! 📈**
*This indicator is for educational purposes. Always manage risk appropriately and never risk more than you can afford to lose.*
---
### Tags
`#SPY` `#MarketInternals` `#CPR` `#VIX` `#PutCallRatio` `#BreadthAnalysis` `#DayTrading` `#SwingTrading` `#TechnicalAnalysis` `#PivotPoints`
MAs+Engulfing O caminho das Criptos
This indicator overlays multiple moving averages (EMAs 12/20/50/100/200 and SMA 200) and highlights bullish/bearish engulfing candles by dynamically coloring the candle body. The EMA 12 (gray) provides short-term momentum insight, helping refine entry timing and micro pullbacks.
When a bullish engulfing is detected, the candle appears as a strong dark green; for bearish engulfing, a vivid red. Normal candles retain classic lime/red colors. Visual alerts and bar coloring make price-action patterns instantly visible.
Includes built-in alert conditions for both patterns, supporting both trading automation and education. The tool upgrades trend-following setups by combining macro structure (longer EMAs) with micro momentum (EMA 12) and automatic price-action insights.
