Two Poles Trend Finder MTF [BigBeluga]🔵 OVERVIEW
Two Poles Trend Finder MTF is a refined trend-following overlay that blends a two-pole Gaussian filter with a multi-timeframe dashboard. It provides a smooth view of price dynamics along with a clear summary of trend directions across multiple timeframes—perfect for traders seeking alignment between short and long-term momentum.
🔵 CONCEPTS
Two-Pole Filter: A smoothing algorithm that responds faster than traditional moving averages but avoids the noise of short-term fluctuations.
var float f = na
var float f_prev1 = na
var float f_prev2 = na
// Apply two-pole Gaussian filter
if bar_index >= 2
f := math.pow(alpha, 2) * source + 2 * (1 - alpha) * f_prev1 - math.pow(1 - alpha, 2) * f_prev2
else
f := source // Warm-up for first bars
// Shift state
f_prev2 := f_prev1
f_prev1 := f
Trend Detection Logic: Trend direction is determined by comparing the current filtered value with its value n bars ago (shifted comparison).
MTF Alignment Dashboard: Trends from 5 configurable timeframes are monitored and visualized as colored boxes:
• Green = Uptrend
• Magenta = Downtrend
Summary Arrow: An average trend score from all timeframes is used to plot an overall arrow next to the asset name.
🔵 FEATURES
Two-Pole Gaussian Filter offers ultra-smooth trend curves while maintaining responsiveness.
Multi-Timeframe Trend Detection:
• Default: 1H, 2H, 4H, 12H, 1D (fully customizable)
• Each timeframe is assessed independently using the same trend logic.
Visual Trend Dashboard positioned at the bottom-right of the chart with color-coded trend blocks.
Dynamic Summary Arrow shows overall market bias (🢁 / 🢃) based on majority of uptrends/downtrends.
Bold + wide trail plot for the filter value with gradient coloring based on directional bias.
🔵 HOW TO USE
Use the multi-timeframe dashboard to identify aligned trends across your preferred trading horizons.
Confirm trend strength or weakness by observing filter slope direction .
Look for dashboard consensus (e.g., 4 or more timeframes green] ) as confirmation for breakout, continuation, or trend reentry strategies.
Combine with volume or price structure to enhance entry timing.
🔵 CONCLUSION
Two Poles Trend Finder MTF delivers a clean and intuitive trend-following solution with built-in multi-timeframe awareness. Whether you’re trading intra-day or positioning for swing setups, this tool helps filter out market noise and keeps you focused on directional consensus.
การวิเคราะห์แนวโน้ม
Institutional Momentum Scanner [IMS]Institutional Momentum Scanner - Professional Momentum Detection System
Hunt explosive price movements like the professionals. IMS identifies maximum momentum displacement within 10-bar windows, revealing where institutional money commits to directional moves.
KEY FEATURES:
▪ Scans for strongest momentum in rolling 10-bar windows (institutional accumulation period)
▪ Adaptive filtering reduces false signals using efficiency ratio technology
▪ Three clear states: LONG (green), SHORT (red), WAIT (gray)
▪ Dynamic volatility-adjusted thresholds (8% ATR-scaled)
▪ Visual momentum flow with glow effects for signal strength
BASED ON:
- Pocket Pivot concept (O'Neil/Morales) applied to price momentum
- Adaptive Moving Average principles (Kaufman KAMA)
- Market Wizards momentum philosophy
- Institutional order flow patterns (5-day verification window)
HOW IT WORKS:
The scanner finds the maximum price displacement in each 10-bar window - where the market showed its hand. An adaptive filter (5-bar regression) separates real moves from noise. When momentum exceeds the volatility-adjusted threshold, states change.
IDEAL FOR:
- Momentum traders seeking explosive moves
- Swing traders (especially 4H timeframe)
- Position traders wanting institutional footprints
- Anyone tired of false breakout signals
Default parameters (10,5) optimized for 4H charts but adaptable to any timeframe. Remember: The market rewards patience and punishes heroes. Wait for clear signals.
"The market is honest. Are you?"
Multi-Timeframe PivotDescription:
This script provides an advanced tool for multi-timeframe pivot point
analysis. It identifies swing points based on a candle's relationship to
its neighbors. The default strength settings of 1 align with the Inner
Circle Trader (ICT) concept of market structure.
The ICT concept defines a swing point based on a simple 3-candle pattern:
- A swing high is a candle where the candles to the immediate left and right
both have lower highs.
- A swing low is a candle where the candles to the immediate left and right
both have higher lows.
A key feature is its ability to accurately calculate and translate pivot
points from up to five higher timeframes (HTFs) and display them
precisely on a lower timeframe (LTF) chart.
NOTE: This indicator is designed to show HTF data on an LTF chart.
If you select a timeframe in the settings that is lower than your
current chart's timeframe, it will show pivots for the chart's
timeframe instead.
Core Features:
- Up to five independent higher timeframes.
- Per-timeframe customization for pivot strength (left/right bars) and color.
- Optional "Watchlines" that project the price of each pivot forward,
complete with a text label identifying the timeframe.
- An optional "Alignment Model" that colors the background when price is
aligned across all active timeframes (requires at least 2 TFs to be enabled).
Default State:
For a clean initial application, the Watchlines and Alignment Model features
are disabled by default but can be enabled in the settings.
DrCID-CISD LevelThe CISD Levels indicator is a sophisticated market structure analysis tool that automatically identifies and plots critical support and resistance levels based on Change in State Direction (CISD) methodology. This indicator helps traders visualize key market turning points and potential breakout/breakdown levels with precision.
Auto-Length Anchored Multiple EMA (Hour-Based)# Auto-Length Anchored Multiple EMA (Hour-Based)
## Overview
This advanced EMA indicator automatically calculates Exponential Moving Average lengths based on the time elapsed since user-defined anchor dates. Unlike traditional fixed-length EMAs, this indicator dynamically adjusts EMA periods based on actual trading hours, making it ideal for event-based analysis and time-sensitive trading strategies.
## Key Features
### 🎯 **Dual Mode Operation**
- **Auto Mode**: EMA length automatically calculated from anchor date to current time
- **Manual Mode**: Traditional fixed-length EMA calculation
- Switch between modes independently for each EMA
### 📊 **Multiple EMA Support**
- Up to 4 independent EMAs with individual configurations
- Each EMA can have its own anchor date and settings
- Individual enable/disable controls for each EMA
### ⏰ **Smart Time Calculation**
- Accounts for actual trading hours (customizable)
- Weekend exclusion with Saturday trading option (for markets like NSE/BSE)
- Hour multiplier for fine-tuning EMA sensitivity
- Minimum EMA length protection to prevent calculation errors
### 🎨 **Visual Enhancements**
- **Dynamic Fill Colors**: Fill between EMA1 and EMA3 changes color based on price position
- **Customizable Colors**: Individual color settings for each EMA
- **Anchor Visualization**: Optional vertical lines and labels at anchor dates
- **Real-time Table**: Shows current EMA lengths, modes, and values
## Configuration Options
### Trading Session Settings
- **Trading Hours Per Day**: Set your market's trading hours (1-24)
- **Trading Days Per Week**: Configure for different markets (5 for Mon-Fri, 6 for Mon-Sat)
- **Include Saturday**: Enable for markets that trade on Saturday
- **Hour Multiplier**: Fine-tune EMA sensitivity (0.1x to 10x)
### EMA Configuration
- **Anchor Dates**: Set specific start dates for each EMA calculation
- **Manual Lengths**: Override with traditional fixed periods when needed
- **Enable/Disable**: Individual control for each EMA
- **Color Customization**: Personalize appearance for each EMA
### Visual Options
- **Fill Settings**: Toggle and customize fill colors between EMAs
- **Anchor Lines**: Show vertical lines at anchor dates
- **Anchor Labels**: Display formatted anchor date information
- **Length Table**: Real-time display of current EMA parameters
## Use Cases
### 📈 **Event-Based Analysis**
- Anchor EMAs to earnings announcements, policy decisions, or market events
- Track price behavior relative to specific time periods
- Analyze momentum changes from key market catalysts
### 🕐 **Time-Sensitive Trading**
- Perfect for intraday strategies where timing is crucial
- Automatically adjusts to market hours and trading sessions
- Eliminates manual EMA length recalculation
### 🌍 **Multi-Market Support**
- Configurable for different global markets
- Saturday trading support for Asian markets
- Flexible trading hour settings
## Technical Details
### Calculation Method
The indicator calculates trading bars elapsed since anchor date using:
```
Total Trading Bars = (Days Since Anchor × Trading Days Per Week ÷ 7) × Trading Hours Per Day × Hour Multiplier
```
### EMA Formula
Uses standard EMA calculation with dynamically calculated alpha:
```
Alpha = 2 ÷ (Current Length + 1)
EMA = Alpha × Current Price + (1 - Alpha) × Previous EMA
```
### Weekend Handling
- Automatically excludes weekends from calculation
- Optional Saturday inclusion for specific markets
- Accurate trading day counting
## Installation & Setup
1. **Add to Chart**: Apply the indicator to your desired timeframe
2. **Set Anchor Dates**: Configure anchor dates for each EMA you want to use
3. **Adjust Trading Hours**: Set your market's trading session parameters
4. **Customize Appearance**: Choose colors and visual options
5. **Enable Features**: Turn on fills, anchor lines, and information table as needed
## Best Practices
- **Anchor Selection**: Choose significant market events or technical breakouts as anchor points
- **Multiple Timeframes**: Use different anchor dates for short, medium, and long-term analysis
- **Hour Multiplier**: Start with 1.0 and adjust based on market volatility and your trading style
- **Visual Clarity**: Use contrasting colors for different EMAs to improve readability
## Compatibility
- **Pine Script Version**: v6
- **Chart Types**: All chart types supported
- **Timeframes**: Works on all timeframes (optimal on intraday charts)
- **Markets**: Suitable for stocks, forex, crypto, and commodities
## Notes
- Indicator starts calculation from the anchor date forward
- Minimum EMA length prevents calculation errors with very recent anchor dates
- Table display updates in real-time showing current EMA parameters
- Fill colors dynamically change based on price position relative to EMA1
---
*This indicator is perfect for traders who want to combine the power of EMAs with event-driven analysis and precise time-based calculations.*
fadi ffa This script is for educational purposes only. It draws historical pivot points and labels them on the chart to help users visualize price levels. It does not provide trading signals, recommendations, or any financial advice. Use at your own risk. The author is not responsible for any decisions made based on this script.
High/Low of Previous 3 Days & Daily Open (Frame-Independent)High/Low of Previous 3 Days & Daily Open
This indicator automatically plots:
The highest high and lowest low of the previous 3 trading days (excluding today),
Today’s daily open,
And shows a clear “Buy chủ đạo” (Strong Buy) label if price closes above the 3D-High,
Or a “Sell chủ đạo” (Strong Sell) label if price closes below the 3D-Low.
Key advantages:
Always calculates the true 3-day range on any timeframe (not just 3 bars),
Instantly highlights breakout zones for strong trend trading,
Simple, clean, and highly effective for both breakout and trend-following traders.
Just add it to your chart and watch for strong moves whenever price breaks out of the recent 3-day range!
Latest Prev Day Supply/Demand ZonesSupply and demand zones are key price levels where buyers and sellers previously clashed, creating areas of support (demand) and resistance (supply). Day traders use these zones as strategic entry and exit points by buying when price pulls back to demand zones and selling when price rallies to supply zones, always waiting for confirmation through candlestick patterns or momentum indicators before entering trades. These zones work best when combined with proper risk management (stop losses below demand zones for longs, above supply zones for shorts) and are most effective in trending or ranging markets rather than choppy sideways action. The strongest zones are those that have held multiple times with high volume, and day traders typically mark these levels each morning based on the previous day's price action, focusing on the most recent and relevant zones closest to current price levels for the highest probability trades.
Normalized Volume EMA FilterTrade towards volume at liquidity levels (Trend Liquidity Zones indi), unless value states otherwise.
EMA Cross IndicatorHow to Use the Indicator
Interpreting Signals:
Bullish Crosses: Look for green triangles below the bars, indicating a shorter EMA crossing above a longer EMA (e.g., EMA 10 > EMA 20).
Bearish Crosses: Look for red triangles above the bars, indicating a shorter EMA crossing below a longer EMA (e.g., EMA 10 < EMA 20).
Setting Alerts: In TradingView, click the "Alerts" icon, select the condition (e.g., "Bullish Cross: EMA50 > EMA100"), and configure your notification preferences (e.g., email, popup).
Customization: Adjust the EMA lengths in the indicator settings to experiment with different periods if desired.
This indicator is designed to work on any timeframe and asset, including BTC/USDT, which you use to gauge trends for other coins. Let me know if you'd like to tweak it further or add more features!
OBV-ROC Tilson Trend (Delta Toggle)IT Tracks Change between one fast OBV and One Slow OBV. Best for trend cfolowing.
SMA Crossing Background Color (Multi-Timeframe)When day trading or scalping on lower timeframes, it’s often difficult to determine whether the broader market trend is moving upward or downward. To address this, I usually check higher timeframes. However, splitting the layout makes the charts too small and hard to read.
To solve this issue, I created an indicator that uses the background color to show whether the current price is above or below a moving average from a higher timeframe.
For example, if you set the SMA Length to 200 and the MT Timeframe to 5 minutes, the indicator will display a red background on the 1-minute chart when the price drops below the 200 SMA on the 5-minute chart. This helps you quickly recognize that the trend on the higher timeframe has turned bearish—without having to open a separate chart.
デイトレード、スキャルピングで短いタイムフレームでトレードをするときに、大きな動きは上に向いているのか下に向いているのかトレンドがわからなくなることがあります。
その時に上位足を確認するのですが、レイアウトをスプリットすると画面が小さくて見えにくくなるので、バックグラウンドの色で上位足の移動平均線では価格が上なのか下なのかを表示させるインジケーターを作りました。
例えば、SMA Length で200を選び、MT Timeframeで5分を選べば、1分足タイムフレームでトレードしていて雲行きが怪しくなってくるとBGが赤になり、5分足では200線以下に突入しているようだと把握することができます。
BOS INDICATOR )This indicator is used to mark out breaks of structures to the upside and the downside. It's used to easily determine which direction the market is breaking structure towards.
Heiken Ashi Candles - CustomizableHeiken Ashi Candles – Customizable Overlay
This TradingView indicator displays accurate Heiken Ashi candles directly on your price chart, perfectly synced with TradingView’s built-in Heiken Ashi source. It’s ideal for traders who want to backtest or analyze Heiken Ashi structure without switching chart types. The indicator also includes full customization of candle body and wick colors for both bullish and bearish candles—perfect for tailoring your chart visuals to your preferences.
Alligator Crossover AlertThe Alligator Indicator consists of:
Jaw (Blue line): 13-period Smoothed Moving Average, shifted by 8 bars
Teeth (Red line): 8-period Smoothed Moving Average, shifted by 5 bars
Lips (Green line): 5-period Smoothed Moving Average, shifted by 3 bars
A crossing of these lines can signal:
Start of a new trend (when lines fan out in order)
Consolidation or end of trend (when lines cross over each other) - The indicator is for visual representation of the crossovers
ATR Stop-Loss with Fibonacci Take-Profit [jpkxyz]ATR Stop-Loss with Fibonacci Take-Profit Indicator
This comprehensive indicator combines Average True Range (ATR) volatility analysis with Fibonacci extensions to create dynamic stop-loss and take-profit levels. It's designed to help traders set precise risk management levels and profit targets based on market volatility and mathematical ratios.
Two Operating Modes
Default Mode (Rolling Levels)
In default mode, the indicator continuously plots evolving stop-loss and take-profit levels based on real-time price action. These levels update dynamically as new bars form, creating rolling horizontal lines across the chart. I use this mode primarily to plot the rolling ATR-Level which I use to trail my Stop-Loss into profit.
Characteristics:
Levels recalculate with each new bar
All selected Fibonacci levels display simultaneously
Uses plot() functions with trackprice=true for price tracking
Custom Anchor Mode (Fixed Levels)
This is the primary mode for precision trading. You select a specific timestamp (typically your entry bar), and the indicator locks all calculations to that exact moment, creating fixed horizontal lines that represent your actual trade levels.
Characteristics:
Entry line (blue) marks your anchor point
Stop-loss calculated using ATR from the anchor bar
Fibonacci levels projected from entry-to-stop distance
Lines terminate when price breaks through them
Includes comprehensive alert system
Core Calculation Logic
ATR Stop-Loss Calculation:
Stop Loss = Entry Price ± (ATR × Multiplier)
Long positions: SL = Entry - (ATR × Multiplier)
Short positions: SL = Entry + (ATR × Multiplier)
ATR uses your chosen smoothing method (RMA, SMA, EMA, or WMA)
Default multiplier is 1.5, adjustable to your risk tolerance
Fibonacci Take-Profit Projection:
The distance from entry to stop-loss becomes the base unit (1.0) for Fibonacci extensions:
TP Level = Entry + (Entry-to-SL Distance × Fibonacci Ratio)
Available Fibonacci Levels:
Conservative: 0.618, 1.0, 1.618
Extended: 2.618, 3.618, 4.618
Complete range: 0.0 to 4.764 (23 levels total)
Multi-Timeframe Functionality
One of the indicator's most powerful features is timeframe flexibility. You can analyze on one timeframe while using stop-loss and take-profit calculations from another.
Best Practices:
Identify your entry point on execution timeframe
Enable "Custom Anchor" mode
Set anchor timestamp to your entry bar
Select appropriate analysis timeframe
Choose relevant Fibonacci levels
Enable alerts for automated notifications
Example Scenario:
Analyse trend on 4-hour chart
Execute entry on 5-minute chart for precision
Set custom anchor to your 5-minute entry bar
Configure timeframe setting to "4h" for swing-level targets
Select appropriate Fibonacci Extension levels
Result: Precise entry with larger timeframe risk management
Visual Intelligence System
Line Behaviour in Custom Anchor Mode:
Active levels: Lines extend to the right edge
Hit levels: Lines terminate at the breaking bar
Entry line: Always visible in blue
Stop-loss: Red line, terminates when hit
Take-profits: Green lines (1.618 level in gold for emphasis)
Customisation Options:
Line width (1-4 pixels)
Show/hide individual Fibonacci levels
ATR length and smoothing method
ATR multiplier for stop-loss distance
Pivot Swings w Table Pivot Swings w Table — Intraday Structure & Range Analyzer
This indicator identifies key pivot highs and lows on the chart and highlights market structure shifts using a real-time table display. It helps traders visually confirm potential trade setups by tracking unbroken swing points and measuring the range between the most recent pivots.
🔍 Features:
🔹 Automatic Pivot Detection using configurable left/right bar logic.
🔹 Unbroken Pivot Filtering — only pivots that haven't been invalidated by price are displayed.
🔹 Dynamic Range Table with:
Latest valid Pivot High and Pivot Low
Total Range Width
Upper & Lower 25% range thresholds (useful for value/imbalance analysis)
🔹 Trend-Based Color Coding — the table background changes based on which pivot (high or low) occurred more recently:
🟥 Red: Downward bias (last pivot was a lower high)
🟩 Green: Upward bias (last pivot was a higher low)
🔹 Optional extension of pivot levels to the right of the chart for support/resistance confluence.
⚙️ How to Use:
Adjust the Left Bars and Right Bars inputs to fine-tune how swings are defined.
Look for price reacting near the Upper or Lower 25% zones to anticipate mean reversion or breakout setups.
Use the trend color of the table to confirm directional bias, especially useful during consolidation or retracement periods.
💡 Best For:
Intraday or short-term swing traders
Traders who use market structure, support/resistance, or trend-based strategies
Those looking to avoid low-quality trades in tight ranges
✅ Built for overlay use on price charts
📈 Works on all symbols and timeframes
🧠 No repainting — pivots are confirmed with completed bars
My Strategy: Uptrend Pullback ScreenerUptrend Pullback Screener. this will filter the stock who is in uptrend and ready to pullback from support.
GER40 Opening Range Breakout (Advanced)🔥 GER40 (DAX40) Opening Range Breakout Strategy
📌 Overview:
This strategy takes advantage of the high volatility and liquidity during the Frankfurt and London session openings (8:00–10:00 CET). It’s especially suitable for day traders who want to capitalize on early momentum.
✅ Strategy Steps:
1. Mark the Opening Range (08:00–08:15 CET)
Wait for the first 15 minutes after the Frankfurt open (08:00 CET).
Draw horizontal lines at the high and low of this range.
2. Entry Rules:
Buy when price breaks above the opening range high with strong volume.
Sell (short) when price breaks below the opening range low with strong volume.
3. Confirmation (optional but helpful):
Use a momentum indicator like RSI (above 50 for long, below 50 for short) or MACD crossing above/below the signal line.
Look for volume spike at breakout for validation.
4. Stop-Loss:
Set just below the range low (for long) or above the range high (for short).
Or use a fixed pip/point stop-loss like 15–25 points depending on current volatility.
5. Take Profit / Exit:
1:1.5 to 1:2 Risk/Reward Ratio.
Or scale out at fixed points (e.g., +20, +40).
Or trail stop after price moves in favor by +20 points.
📊 Additional Filters to Improve Accuracy:
Check macroeconomic calendar (avoid entering during red news like ECB, German CPI, etc.).
Use VWAP as a dynamic support/resistance for bias direction.
Use 5-min or 15-min charts for better signal clarity.
📈 Example:
Let’s say the DAX opens at 08:00 CET, and by 08:15, the high is 18,000 and the low is 17,950.
If price breaks above 18,000 with volume and RSI > 50, enter long.
Place stop at 17,950 or slightly below.
Take profit at 18,030–18,050 or trail stop.
🧠 Pro Tips:
GER40 is highly volatile, so ensure your risk per trade is small (e.g., 1% or less).
Avoid trading around major news (ECB rate decisions, German GDP, etc.).
Best sessions for GER40: Frankfurt Open (08:00 CET) and London Open (09:00 CET).
Entry Signal: Low X% Lower Than OpenFires off a signal whenever the Low of the candle is below a certain percentage threshold compared to the open
Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator
What Is It?
The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis.
Scientific Foundation
The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effects—precisely the characteristics found in crypto and stock markets.
The indicator also borrows from Log-Periodic Power Law (LPPL).
Core Concepts
1. Entropy Deficit
The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness:
Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets
Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness
High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior
Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events
2. Multi-Scale Analysis
The indicator calculates entropy across different timeframes:
Short-term Entropy (blue line): Captures recent market behavior (20-day window)
Long-term Entropy (green line): Captures structural market behavior (120-day window)
Main Entropy (purple line): Primary measurement (60-day window)
3. Scale Ratio
This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations.
How It Works
Data Collection: The indicator samples price returns over specific lookback periods
Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution
Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy
Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure
Risk Assessment: Multiple factors are combined to generate a composite risk score and classification
Market Interpretation
Low Risk Environments (Risk Score < 25)
Market is functioning efficiently with reasonable randomness
Price discovery is likely effective
Normal trading and investment approaches appropriate
Medium Risk Environments (Risk Score 25-50)
Increasing correlation in price movements
Beginning of trend formation or momentum
Time to monitor positions more closely
High Risk Environments (Risk Score 50-75)
Strong herding behavior present
Market potentially becoming one-sided
Consider reducing position sizes or implementing hedges
Extreme Risk Environments (Risk Score > 75)
Highly ordered market behavior
Significant imbalance between buyers and sellers
Heightened probability of sharp reversals or corrections
Practical Application Examples
Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top
Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization
Range-Bound Markets: Typically display low and stable entropy deficit measurements
Trending Markets: Often show moderate entropy deficit that remains relatively consistent
Advantages Over Traditional Indicators
Forward-Looking: Identifies changing market structure before price action confirms it
Statistical Foundation: Based on robust mathematical principles rather than empirical patterns
Adaptability: Functions across different market regimes and asset classes
Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations
Limitations
Not a Timing Tool: Signals market risk conditions, not precise entry/exit points
Parameter Sensitivity: Results can vary based on the chosen parameters
Historical Context: Requires some historical perspective to interpret effectively
Complementary Tool: Works best alongside other analysis methods
Enjoy :)
EMA-Based Trend ScoreThis will track the price and compare it with EMA 21, 50 and 100 and assign score for position sizing
H IchimokuIchimoku Kinko Hyo (commonly called the Ichimoku Cloud) is a comprehensive technical analysis indicator developed by Japanese journalist Goichi Hosoda in the 1960s. Its name translates to “one glance equilibrium chart,” reflecting the tool’s purpose: to provide a quick, holistic view of market trend, momentum, and support/resistance levels.
The Ichimoku Cloud consists of five main components:
Tenkan-sen (Conversion Line): The average of the highest high and lowest low over the past 9 periods.
Kijun-sen (Base Line): The average of the highest high and lowest low over the past 26 periods.
Senkou Span A (Leading Span A): The average of the Tenkan-sen and Kijun-sen, plotted 26 periods ahead.
Senkou Span B (Leading Span B): The average of the highest high and lowest low over the past 52 periods, plotted 26 periods ahead.
Chikou Span (Lagging Span): The current closing price plotted 26 periods back.
The area between Senkou Span A and B forms the “cloud” (Kumo), which visually highlights key support and resistance zones. Prices above the cloud indicate an uptrend, below the cloud a downtrend, and within the cloud a consolidating or neutral market.
Ichimoku is valued for its ability to provide a broad, forward-looking perspective on price action, helping traders identify trends, momentum, and potential reversal points at a glance.
Lazarus Surge 1.0The "Lazarus Surge 1.0" Pine Script (version 6) is a TradingView indicator designed for detecting key market signals with a modern, edgy vibe. It identifies:
- Break of Structure (BOS): Plots "Long" (green, tiny, below candle) and "Short" (red, tiny, above candle) labels when price breaks pivot highs (in downtrends) or lows (in uptrends), with SL/TP levels (1:2 risk-reward). New BOS signals are suppressed for 23 candles to avoid clutter.
- Fair Value Gaps (FVG): Displays green (bullish) and red (bearish) boxes for price gaps, with adjustable sensitivity (0.05%) and optional removal when price fills the gap.
- Support/Resistance (S/R): Marks pivot lows with green "Support" labels/lines and pivot highs with purple "Resistance" labels/lines, persisting for 50 bars.
- Reversals: Shows "BLSH RVSL" (blue, tiny, below candle) and "BRSH RVSL" (orange, tiny, above candle) for engulfing or rejection patterns.
Features:
>No pivot points plotted, only used internally.
>All labels/lines scale with chart zoom.
>Signals clean up after ~2 hours (timeframe-adjusted), except S/R (50 bars).
>Uses max_boxes_count=500 to manage FVG rendering.
>Includes debug labels ("Bull FVG"/"Bear FVG") to confirm gap detection.
*This indicator is still under development. Use it at your own risk*