Neural Probability Channel [AlgoPoint]The Neural Probability Channel (NPC) is a next-generation volatility and trend analysis tool designed to overcome the limitations of traditional bands (like Bollinger Bands) and smoothing filters (like standard Moving Averages).
Unlike traditional indicators that rely on linear deviation or simple averages, the NPC utilizes a Rational Quadratic Kernel—a concept derived from machine learning regression models—to calculate a non-repainting, highly adaptive baseline (Fair Value). This allows the indicator to distinguish between market noise and genuine trend shifts with superior accuracy.
The volatility bands are dynamically calculated using a hybrid of Standard Error (Mean Deviation) and ATR, ensuring the channels adapt organically to market conditions—expanding during high-impact moves and contracting during consolidation.
How It Works
- The Neural Baseline (Center Line): Instead of a standard Moving Average, the NPC uses a Rational Quadratic Kernel weighting system. This assigns "importance" to price data based on both recency and similarity. It acts as a "Center of Gravity" for price, providing a smoother yet responsive trend detection line without the lag associated with SMAs or EMAs.
Crucially, the math is causal (no lookahead), meaning it does not repaint.
- Adaptive Volatility Bands: The channel width is not fixed. It uses a Hybrid Volatility Model:
- Inner Channel: Represents the "Probability Zone" (approx. 70% confidence). Price staying here indicates a stable trend.
- Outer Channel: Represents "Extreme Deviation" (Statistical Anomalies). When price touches or breaches these outer bands, it is statistically overextended (Overbought/Oversold).
Signal Generation:
- Reversion Signals: Generated when price breaches the Outer Bands and closes back inside. This suggests a "Snap-back" or Mean Reversion event.
- Trend Confirmation: The color of the baseline and the fill zones changes based on the slope of the Kernel, giving an instant visual read on market bias.
How to Use It
- Mean Reversion Strategy: Look for price action extending beyond the Outer Bands (Thinner lines). If price leaves a wick and closes back inside, it signals a high-probability reversal toward the Neural Baseline.
- Green Signal: Potential Long (Reversal from Lows).
- Red Signal: Potential Short (Reversal from Highs).
- Trend Following: Use the Neural Baseline (Thick Center Line) as a dynamic support/resistance level.
If price is holding above the baseline and the cloud is green, the trend is Bullish.
If price is holding below the baseline and the cloud is red, the trend is Bearish.
- Squeeze Detection: When the Inner and Outer bands compress significantly, it indicates low volatility and often precedes an explosive breakout.
Settings
- Lookback Window: Determines the depth of the Kernel analysis.
- Smoothness (Bandwidth): Higher values create a smoother baseline (better for trends), while lower values make it more reactive (better for scalping).
- Regression Alpha: Controls the weight distribution of the Kernel.
- Channel Multipliers: Adjust the width of the Inner and Outer bands to fit your specific asset's volatility profile.
Forecasting
Zen Measured Moves - Price Extension Targets Based on Prior Bar Overview
Zen Measured Moves identifies potential price extension targets by projecting the prior bar's range forward from breakout points. This indicator helps traders anticipate how far price might travel after breaking above a prior high or below a prior low.
How It Works
The indicator calculates three measured move targets in each direction:
Bullish Targets (from prior bar's high):
0.5x - Half the prior range (50% extension)
1x - Full prior range (100% extension)
2x - Double the prior range (200% extension)
Bearish Targets (from prior bar's low):
0.5x - Half the prior range (50% extension)
1x - Full prior range (100% extension)
2x - Double the prior range (200% extension)
Visual Signals
Blue circles above bars indicate bullish measured moves achieved:
Light blue (tiny) = 0.5x target hit
Medium blue (small) = 1x target hit
Dark blue (normal) = 2x target hit
Red circles below bars indicate bearish measured moves achieved:
Light red (tiny) = 0.5x target hit
Medium red (small) = 1x target hit
Dark red (normal) = 2x target hit
Data Window Outputs
All calculated values are available in the Data Window for analysis or export to Excel:
Target hit indicators (1/0 boolean values)
Actual target price levels
Bar type classifications (bullish/bearish)
Range measurements
Internal Bar Strength (IBS) values
Use Cases
Identify potential profit targets after breakouts
Gauge momentum strength by which targets are reached
Filter for high-momentum vs low-momentum moves
Backtest measured move reliability on your instruments
Export data for statistical analysis in Excel
Best Practices
Works on any timeframe or instrument
Most effective when prior bar has clear directional bias
Consider combining with volume or other confirmation indicators
Use IBS values to assess entry/exit quality within bars
stelaraX - Market StructurestelaraX – Market Structure
stelaraX – Market Structure is a technical analysis indicator designed to visualize swing structure and trend transitions using pivot-based market structure logic. The script identifies swing highs and swing lows, classifies them into structure types, and highlights key events such as Break of Structure (BOS) and Change of Character (CHoCH).
The indicator is built to provide a clear, rule-based view of price structure across any market and timeframe.
For advanced AI-based chart analysis and automated structure interpretation, visit stelarax.com
Core logic
The script detects swing points using pivot highs and pivot lows with a user-defined swing length.
Swing highs are classified as:
* HH when a new swing high is higher than the previous swing high
* LH when a new swing high is lower than the previous swing high
Swing lows are classified as:
* HL when a new swing low is higher than the previous swing low
* LL when a new swing low is lower than the previous swing low
Structure points can be displayed with labels and connected by dashed structure lines.
BOS and CHoCH
Break of Structure is detected when price closes through the most recent swing level:
* bullish BOS when price crosses above the last swing high during a bullish trend
* bearish BOS when price crosses below the last swing low during a bearish trend
Change of Character is highlighted as a potential trend transition:
* bearish CHoCH when a lower high forms after a bullish trend
* bullish CHoCH when a higher low forms after a bearish trend
Both BOS and CHoCH can be enabled or disabled independently.
Visualization
The indicator can display:
* swing point labels for HH, HL, LH, and LL
* dashed structure lines between consecutive swing points
* BOS labels and horizontal BOS lines at the broken swing level
* optional background shading based on the detected trend state
Colors, label size, and line width are configurable.
Alerts
Alert conditions are available for:
* bullish break of structure
* bearish break of structure
* new higher high detection
* new lower low detection
Use case
This indicator is intended for:
* market structure mapping using swing highs and swing lows
* identifying BOS events for continuation confirmation
* spotting CHoCH for potential trend transitions
* trend bias visualization and structure-based analysis
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com.
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Roboballs42 Auto W/M Pattern Detector + Measured Move & Fib TaRoboballs42 — Auto W/M Pattern Detector + Measured Move & Fib Targets
This indicator automatically detects Double Bottom (W) and Double Top (M) patterns using a ZigZag-based market structure engine with built-in quality filtering.
Designed for clean charts, realistic targets, and high-signal price action, this tool removes manual drawing and highlights only meaningful reversal structures.
🔍 Core Features
Automatic W (double bottom) and M (double top) detection
Clear adjacent structure triangles for pattern validation
Neckline detection with projected measured move targets
Automatic Fibonacci extension levels from the structure
Optional multi-timeframe logic
Quality and risk filtering to reduce low-probability setups
Smart memory system to keep charts uncluttered
Fully scalable visuals for all timeframes
📐 Why Traders Use It
Quickly spot reversal structures without manual drawing
Visualize realistic upside/downside targets
Combine market structure + fib logic in one clean tool
Useful for BTC, crypto, forex, stocks, and indices
⚙️ Customization
Toggle W/M patterns, necklines, measured moves, invalidation rays
Adjust pivot sensitivity and risk filtering
Control label size, opacity, and chart cleanliness
Designed to work cleanly on any timeframe
❤️ Support / Donations
If this indicator helps your trading and you’d like to support continued development, BTC donations are appreciated:
Bitcoin (BTC):
bc1qvda8daynuqhpx8e9g07ddyelhpmv4ja5wc9cmm
💡 Tip: The address is copyable from Settings → Inputs for easy copy/paste.
⚠️ Disclaimer
This script is for educational and analytical purposes only.
It is not financial advice. Always manage risk and confirm setups with your own analysis.
Roboballs42 Auto Bull/Bear Flag (ZigZag) + Targets [Parallel]Roboballs42 • Auto Bull/Bear Flag (ZigZag) + Targets automatically detects bull flags and bear flags using a ZigZag-style pivot engine, draws a parallel flag channel anchored back to the flagpole (xB), and projects the channel only a limited number of bars into the future (no infinite rays).
While a flag is active, the script shows a live breakout arrow as soon as price breaks the channel intrabar. Once the breakout confirms, the arrow locks at the breakout candle and the flag is considered complete. Patterns that get invalidated (price breaks the “wrong side” of the flag) are automatically deleted to keep the chart clean.
If you enjoy this indicator and want to support the project, BTC donations are appreciated:
bc1qvda8daynuqhpx8e9g07ddyelhpmv4ja5wc9cmm
Key Features
Auto Bull Flags + Bear Flags
Parallel channel that extends left to the flagpole (no incomplete flags)
Limited forward projection (Projection bars) to avoid endless lines
Live breakout arrow (realtime) + locked arrow on confirmation
Measured-move target plotted on confirmed breakout
Invalidation cleanup (delete patterns when price violates the wrong side)
Custom controls: pivot sensitivity, pole size (ATR), flag depth %, max flag length, touch tolerance, breakout type, invalidation type, and memory limits
Notes
“Early pivots” can repaint like a standard fast ZigZag.
This indicator is a pattern-visualization tool, not financial advice.
Market Regime AnalyzerStatistical regime detection with forward-looking transition probabilities. Combines drift testing, variance ratios, and volume delta to classify markets into 5 regimes and quantify transition probabilities.
What Regime Are We In, and What's Likely Next?
That's the question this indicator answers with statistical rigor and forward-looking probabilities.
The Problem:
Most traders classify regimes arbitrarily: "Bull if price > 200 MA" or "Bear if RSI < 30." These rules ignore statistical significance, volume confirmation, and mean reversion patterns. The result? Late entries, false signals, and confusion when markets transition.
The Solution:
Market Regime Analyzer combines drift detection, variance ratio testing, and volume delta analysis to classify markets into 5 distinct regimes. Then it calculates the probability of transitioning to each regime based on historical patterns.
The Benefit:
Know not just where you are, but where you're likely going - with probabilities, not guesses.
The Five Market Regimes
🟢 Strong Bull (Regime 1)
- Statistically significant upward drift (t-stat > 1.96)
- Strong buying pressure (volume delta > 0.3)
- No mean reversion detected
- **Trade:** Trend-following strategies, ride the momentum
🟢 Weak Bull (Regime 2)
- Upward drift present
- BUT weak volume OR mean reversion detected
- **Trade:** Reduce position size, tighten stops, prepare for consolidation
⚪ Consolidation (Regime 3)
- No statistically significant drift
- Mixed volume signals
- Mean reversion likely present
- **Trade:** Range-trading, avoid trend-following systems
🔴 Weak Bear (Regime 4)
- Downward drift present
- BUT weak volume pressure
- **Trade:** Cautious shorts, reduce exposure, prepare for bounce
🔴 Strong Bear (Regime 5)
- Statistically significant downward drift (t-stat < -1.96)
- Strong selling pressure (volume delta < -0.3)
- No mean reversion detected
- **Trade:** Trend-following shorts, protective puts
The Statistical Framework
1. Drift Detection with T-Statistics
Instead of guessing if there's a trend, we test it statistically.
How it works:
- Calculates mean return over lookback period
- Standardizes by volatility
- Compares to significance threshold (default 1.96 = 95% confidence)
What it tells you:
- T-stat > 1.96: Statistically significant uptrend
- T-stat < -1.96: Statistically significant downtrend
- In between: No significant trend (consolidation)
Why it matters:
Only trades trends that are statistically validated, not just visually apparent.
2. Mean Reversion Testing (Variance Ratio)
Based on Lo & MacKinlay (1988) research, this detects when markets are range-bound.
How it works:
- Compares variance at different time scales
- Variance Ratio < 0.8 indicates mean reversion
What it tells you:
- Mean reversion = NO: Trends can continue
- Mean reversion = YES: Expect price to return to mean, not breakout
Why it matters:
Prevents chasing breakouts in range-bound markets.
3. Volume Delta Analysis
Total volume tells you HOW MUCH traded. Volume delta tells you WHO won.
How it works:
- Buying pressure - Selling pressure = Volume Delta
- Normalized to show relative strength
What it tells you:
- Strong positive delta (>0.3): Buyers in control
- Strong negative delta (<-0.3): Sellers in control
- Weak delta: No clear winner
Why it matters:
Price can move up on weak buying or down on weak selling. Volume delta reveals the truth.
4. Transition Probability Matrix
Historical regime changes predict future regime changes.
How it works:
- Tracks every regime transition over last 100 bars (configurable)
- Builds probability distribution for next regime
- Updates continuously
Example:
Current: Strong Bull
Historical transitions from Strong Bull:
- Stayed Strong Bull: 45%
- Became Weak Bull: 30%
- Became Consolidation: 20%
- Became Weak Bear: 4%
- Became Strong Bear: 1%
What it tells you:
Strong Bull has 75% chance of staying bullish (45% + 30%), only 5% chance of bearish turn.
Why it matters:
Adapts to your specific market's behavior patterns.
How to Use This Indicator
Strategy Adaptation
In Strong Bull/Bear Regimes:
- Use trend-following strategies
- Wider stops, let winners run
- Add to positions on pullbacks
- High confidence in directional trades
In Weak Bull/Bear Regimes:
- Reduce position sizes by 50%
- Tighter stops
- Take profits earlier
- Prepare for regime change
In Consolidation:
- Switch to range-trading strategies
- Avoid trend-following systems
- Sell resistance, buy support
- Wait for regime change before trend trades
Risk Management
Position Sizing:
- Strong regime + high continuation probability (>60%) = Normal size
- Weak regime OR high transition probability = Half size
- Consolidation = Quarter size or skip
Stop Loss Placement:
- Strong regime: Use wider stops (2x ATR)
- Weak regime: Tighter stops (1x ATR)
- Consolidation: Very tight stops (0.5x ATR)
Entry Timing
Best entries:
- Regime just changed to Strong Bull/Bear
- High probability (>50%) of staying in current regime
- No divergence signals present
- Drift and volume delta aligned
Avoid entries:
- High probability of regime change
- Divergence signals appearing
- Mean reversion detected in trending regime
- Weak volume despite price movement
Reading the Dashboard
Current Regime
Color-coded for instant recognition:
- Dark Green = Strong Bull
- Light Green = Weak Bull
- Gray = Consolidation
- Light Red = Weak Bear
- Dark Red = Strong Bear
Annualized Drift
Expected annual return based on recent trend.
- Positive = Upward bias
- Negative = Downward bias
- Near zero = No directional edge
T-Statistic
Measures statistical significance of drift.
- > 1.96 = 95% confident in uptrend
- < -1.96 = 95% confident in downtrend
- Between = Not statistically significant
Mean Reversion
- Yes = Expect price to return to mean (range-bound)
- No = Trends can continue (trending market)
Volume Pressure
Normalized volume delta strength.
- > 0.3 = Strong buying
- < -0.3 = Strong selling
- Near 0 = Balanced
Transition Probabilities
Shows most likely next regime.
- Highest probability = Most likely outcome
- Evenly distributed = High uncertainty
- Concentrated = High confidence in direction
Practical Examples
Example 1: Strong Bull with High Continuation
Dashboard shows:
Current Regime: Strong Bull
Drift: +22% annualized
T-Stat: 3.2
Mean Reversion: No
Volume Pressure: +0.45
Probabilities:
→ Strong Bull: 50%
→ Weak Bull: 25%
→ Consolidation: 20%
→ Bears: 5%
Interpretation:
- Strong uptrend (t-stat 3.2 >> 1.96)
- No mean reversion = trends can continue
- Strong buying pressure (0.45 > 0.3)
- 75% chance stays bullish (50% + 25%)
Action:
- Full position size on long setups
- Use trend-following entries
- Wider stops (2x ATR)
- High conviction trades
Example 2: Weak Bull Before Consolidation
Dashboard shows:
Current Regime: Weak Bull
Drift: +8% annualized
T-Stat: 1.2
Mean Reversion: Yes
Volume Pressure: +0.15
Probabilities:
→ Strong Bull: 10%
→ Weak Bull: 30%
→ Consolidation: 50%
→ Weak Bear: 10%
Interpretation:
- Weak drift (t-stat 1.2 < 1.96)
- Mean reversion detected = range-bound likely
- Weak volume (0.15 < 0.3)
- 50% chance of consolidation
Action:
- Reduce long positions
- Tighten stops
- Prepare for range-bound trading
- Avoid new trend trades
Example 3: Regime Transition Alert
Previous: Weak Bull
Current: Consolidation
Volume divergence signal appeared:
Price made new high, volume delta weakened
Interpretation:
- Trend exhausted
- Buyers losing control
- Regime confirmed the transition
Action:
- Exit trend-following longs
- Switch to range-trading approach
- Wait for new regime before new directional trades
Settings Guide
### Regime Detection Period (50)
Number of bars for statistical calculations.
- **30-40:** More responsive, catches changes faster, more regime switches
- **50 (default):** Balanced for daily/4H charts
- **75-100:** More stable, fewer false regime changes, slower to adapt
Transition History Depth (100)
How much history to use for probabilities.
- **50-75:** Adapts quickly to recent behavior
- **100 (default):** Balanced robustness
- **150-200:** More stable probabilities, slower to adapt
Volume Delta Period (14)
Period for volume calculations.
- **7-10:** More sensitive to volume shifts
- **14 (default):** Standard period
- **20-30:** Smoother, less noise
Significance Threshold (1.96)
T-statistic required for trend classification.
- **1.64:** 90% confidence, more trend regimes detected
- **1.96 (default):** 95% confidence, balanced
- **2.58:** 99% confidence, very conservative, mostly consolidation
Best Practices
Do:
- Wait for regime confirmation (at least 3-5 bars in new regime)
- Use probabilities to size positions appropriately
- Combine with support/resistance for entries
- Respect mean reversion signals
- Adapt strategy to current regime
Don't:
- Trade every regime change immediately
- Ignore high transition probabilities
- Use trend strategies in consolidation
- Override statistical signals with gut feel
- Trade against Strong regimes without clear setup
Timeframe Recommendations
Daily Charts:
- Default settings work well
- Most reliable regime detection
- Best for swing trading
4H Charts:
- Use default or slightly higher lookback (60-75)
- Good for active swing trading
- More regime changes than daily
1H Charts:
- Reduce lookback to 30-40
- More noise, use with caution
- Better for intraday position trading
15M and below:
- Not recommended
- Too much noise for statistical validity
- Regimes change too frequently
Combining with Other Indicators
Works Well With:
Moving Averages
- Use regime for directional bias
- MAs for specific entry/exit points
Support/Resistance
- Regime shows context
- S/R shows specific levels
- High probability at confluence
Volume Profile
- Regime shows regime
- Profile shows where volume is
- Target high-volume nodes
RSI/MACD
- Regime provides context
- Momentum shows entry timing
- Combine for higher probability
Example Combined Setup
Regime: Strong Bull
Price: Above 200 MA
Level: Pullback to support
RSI: Oversold (30)
Volume Delta: Still positive
Setup: Long entry
Reason: Trend intact, healthy pullback, buyers still present
Divergence Signals
The indicator shows volume divergence warnings:
Bearish Divergence (Red Triangle Down)
- Price makes new high
- Volume delta makes lower high
- Warning: Buyers weakening, potential reversal
Bullish Divergence (Green Triangle Up)
- Price makes new low
- Volume delta makes higher low
- Warning: Sellers weakening, potential reversal
How to use:
- Divergence in Strong regime = early warning of regime change
- Confirms when regime actually transitions
- Don't trade divergence alone, wait for regime confirmation
Limitations
This Indicator Cannot:
**Predict black swan events** - Unexpected news overrides all technical regimes
**Work in all markets** - Needs liquid markets with reliable volume data
**Guarantee profits** - Probabilities are not certainties
**Replace fundamental analysis** - Technical regimes can diverge from fundamentals
Works Best:
- Liquid markets (major indices, forex, crypto, large-cap stocks)
- Daily and 4H timeframes
- Combined with other analysis
- With proper risk management
- In normal market conditions
Common Questions
"Why did the regime stay consolidation despite strong price move?"
The indicator detected mean reversion (variance ratio < 0.8), indicating the move will likely reverse. Or the move wasn't statistically significant (t-stat < 1.96). Trust the statistics over visual appearance.
"Probabilities show 30% for each regime. What does that mean?"
High uncertainty. The market is at an inflection point. Reduce position sizes and wait for clearer regime formation.
"Can I use this for day trading?"
Not recommended on timeframes below 1H. Statistical tests need sufficient data. Better suited for swing trading.
"Why does this show Strong Bull when my momentum indicators show weakness?"
Momentum can weaken while the trend remains statistically significant. The indicator focuses on drift and volume, not momentum. Consider it a different perspective.
Technical Notes
Volume Delta Approximation
Uses OHLCV data to approximate order flow:
- Buy volume ≈ Volume on up-closes
- Sell volume ≈ Volume on down-closes
- Delta = Buy - Sell
**Note:** Real order flow (from futures or Level 2) is more precise. This approximation works well on liquid markets.
Statistical Tests
Drift T-Test:
- Null hypothesis: No drift (mean return = 0)
- Reject if |t-stat| > threshold
- Based on standard hypothesis testing
Variance Ratio:
- Compares 2-period variance to 1-period variance
- Ratio = 1 for random walk
- Ratio < 1 for mean reversion
- Threshold of 0.8 based on empirical testing
Transition Probability Implementation
Due to Pine Script v5 limitations (no native 2D arrays), the 5×5 transition matrix is stored as a flat 1D array of 25 elements:
- Position maps to index: `row × 5 + col`
- Example: Transition from Regime 2 to Regime 4 is at index `1 × 5 + 3 = 8`
- Laplace smoothing (0.1) prevents zero probabilities
- Row sums normalized to calculate probabilities
This approach is computationally efficient and maintains statistical accuracy.
No Repainting
All calculations confirmed on bar close. Regime changes appear when the bar closes, not during formation. Historical analysis is accurate.
Alert Conditions
Regime Change
- Triggers when regime transitions to any new state
- Message shows new regime number (1-5)
Bearish Divergence
- Triggers when price makes new high but volume delta doesn't confirm
Bullish Divergence
- Triggers when price makes new low but volume delta doesn't confirm
Disclaimer
FOR EDUCATIONAL PURPOSES ONLY
This indicator uses statistical methods to analyze market regimes. It does not predict the future or guarantee trading success.
Markets are probabilistic, not deterministic. A 70% probability of staying bullish means 30% chance of regime change. Always use proper risk management.
Past regime transitions do not guarantee future transitions. Market structure can change. Statistical relationships can break down.
Never risk more than you can afford to lose. Use stop losses on every trade. Test thoroughly before live trading. Consult a qualified financial advisor.
© 2026 | Open Source
Statistical rigor meets practical application
Moving Average Momentum Bands📊 MA Momentum Bands - Crossover Detection with Predictive Signals
Overview
Advanced moving average system with intelligent crossover detection and early warning predictive signals. Designed to catch trend changes with precise timing while filtering out choppy market noise.
Key Features
📈 4 Customizable Moving Averages
Choose from EMA, SMA, SMMA (RMA), WMA, or VWMA
Adjustable periods and colors
Visual fill zones between MA pairs
✓ Confirmed Crossover Signals
Fires on actual MA crossover with confirmation filters
Slope Filter: Requires slow MA to be trending (filters choppy markets)
Acceleration Filter: Detects momentum shifts and deceleration (catches reversals)
Highly configurable thresholds for different trading styles
⚠ Predictive Signals (Optional)
Early warning system fires 1-8 bars BEFORE actual crossover
Velocity-based calculation estimates when crossover will occur
Smart debouncing prevents signal spam (fires once per setup)
Auto-resets after crossover or when prediction fails
🔍 Debug Table
Real-time metrics: MA slope, acceleration, velocity, distance
"Bars Until Cross" prediction countdown
Perfect for fine-tuning settings
How It Works
Confirmed Signals (✓ triangles):
Fast MA crosses Slow MA
Slow MA must be trending (slope > threshold) OR decelerating
Filters ensure quality signals in trending markets
Predictive Signals (⚠ triangles):
Calculates MA velocities (rate of change)
Estimates bars until crossover based on approach speed
Fires early warning when crossover imminent
Only fires once per setup (no spam)
Best Use Cases
Swing Trading: Catch trend changes early with predictive signals
Trend Following: Use confirmed signals for high-probability entries
Multi-Timeframe: Combine with higher TF analysis for confirmation
Filter for Other Strategies: Add MA crossover confirmation to your existing system
Recommended Settings
Conservative (Fewer, Higher Quality Signals):
Slope Threshold: 0.002-0.005
Acceleration Filter: ON
Predict Bars Ahead: 5-8
Balanced (Default):
Slope Threshold: 0.001-0.002
Acceleration Filter: ON
Predict Bars Ahead: 3-5
Aggressive (More Signals, Earlier Entries):
Slope Threshold: 0.0001
Acceleration Filter: OFF
Predict Bars Ahead: 1-3
Quick Start
Add to chart - confirmed signals work immediately
Adjust slope/acceleration filters to match your timeframe
Enable predictive signals for early entries
Use debug table to fine-tune settings
Set up alerts for hands-free trading
Alerts Included
Bullish/Bearish MA Cross (confirmed)
Predictive Bullish/Bearish Cross (early warning)
Perfect for traders who want to catch trend changes early while avoiding false signals in choppy markets!
CRZTestBuildV2At market open, the indicator plots daily zones derived from the previous session's range and volatility, using statistically common extensions and reactions from similar prior days. These zones act as areas of interest where price commonly stalls, reverses, or accelerates, which makes them useful or HOD/LOD reference and structure trade entries.
Bob's Whale Hunter - V7 (Jorge's Algo)Trade like a whale, not the bait.
The Whale Hunter V7 is a high-performance toolkit specifically engineered for traders following Smart Money Concepts (SMC) and Institutional Price Action. This indicator automates the identification of high-probability zones based on the AMD (Accumulation, Manipulation, Distribution) cycle.
🚀 Key Features:
Institutional Liquidity Sweeps: Automatically detects liquidity grabs at key highs and lows. These are the exact spots where institutional "whales" enter the market by triggering retail stop losses.
Dynamic Fair Value Gaps (FVG): Highlights market imbalances that act as price magnets. This allows you to time your entries during the "rebalance" with surgical precision.
Multi-Timeframe Dashboard (HTF Matrix): A real-time panel showing the Macro bias (4H) versus the Entry trend (15m). Stay aligned with the higher-timeframe order flow at all times.
Elite Market Structure: An institutional-grade trend filter that shifts color based on market dominance, helping you distinguish between a deep retracement and a true trend reversal.
🛠 How to Trade it (The Institutional Checklist):
Macro Alignment: Check the Dashboard. If 4H is green, look for buy setups only. Never trade against the "Big Money" flow.
Identify the Sweep: Wait for the triangle signal (Sweep). This confirms that liquidity has been cleared and the "Manipulation Phase" is likely complete.
The Trigger (FVG): Once a Break of Structure (ChoCH) occurs after the sweep, look for entries within the highlighted FVG boxes that align with your OTE (Optimal Trade Entry) Fibonacci levels.
Targeting: Aim for the opposing liquidity pools or the next institutional level identified by the script.
"Trading is a game of probabilities. Follow the footprints left by the giants."
Acrobatic Loto Predictor [Taolue Remix]
市場のカオスを、幸運の数字へ。
このインジケーターは、現在のチャートの「価格変動」「時間」「ボラティリティ」を複雑な計算式（カオス力学）に通すことで、 Loto 6 (6/43) および Loto 7 (7/37) の予想数字を算出する実験的なツールです。
単なるランダム生成（乱数）ではありません。RSIやボリンジャーバンドといったテクニカル指標の数値を「乱数の種（シード）」として使用しているため、 「相場の息遣い」がそのまま数字として出力されます。
【主な機能】
1. モード: 設定画面から「Loto 6」と「Loto 7」を切り替え可能です。
2. カオス＆テクニカル・ロジック:
- カオス力学: ローレンツ・アトラクタに着想を得た非線形計算。
- テクニカル: RSI（相対力指数）とボリンジャーバンドの位置関係を係数化。
- 概念定数: 黄金比（φ）や特定の数学的定数を隠し味に配合。
3. ストップ（固定）機能: チャートが動くたびに数字は変動しますが、「ここだ！」と思った瞬間にチェックボックスで数字を 完全固定（ロック） できます。
4. リロール（再抽選）機能: 固定した数字が気に入らない場合、リロール値を変更することで、その瞬間のパラレルワールド（別の計算結果）を呼び出せます。
5. ディスコモード: 数字が変動している間は背景色がリズミカルに変化し、固定すると色が落ち着く視覚効果付き。
【使い方】
1. チャートに追加します（ビットコインや為替など、動きのある銘柄推奨）。
2. 設定画面で Loto 6 か Loto 7 を選びます。
3. チャートを眺め、相場の「波」を感じます。
4. 直感的に良いタイミングで設定画面の 「ストップ（数値を固定）」 にチェックを入れます。
5. 表示された数字をメモします。（気に入らなければ「結果のリロール」数値を変更してください）
※免責事項:
このツールはエンターテインメント目的で作成されています。当選を保証するものではありません。宝くじの購入は自己責任で楽しみましょう。
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Transform Market Chaos into Lucky Numbers.
This indicator is an experimental tool that generates predictions for Loto 6 and Loto 7 by feeding current chart data—price action, time, and volatility—into complex chaotic algorithms.
This is not a simple random number generator. It uses technical indicators like RSI and Bollinger Bands as "seeds" for generation. Essentially, the heartbeat of the market decides your numbers.
1. Mode: Switch between "Loto 6" (pick 6 from 43) and "Loto 7" (pick 7 from 37) in the settings.
2. Chaos & Technical Logic:
- Chaos Dynamics: Non-linear calculations inspired by the Lorentz Attractor.
- Technical Analysis: Weighing factors based on RSI and Bollinger Band positioning.
- Conceptual Constants: Incorporates the Golden Ratio (φ) and other mathematical constants.
3. Freeze/Lock Function: Numbers fluctuate with every tick. Use the "Stop" checkbox to lock the numbers at the exact moment you feel the market energy align.
4. Reroll System: If you lock the numbers but don't like the result, change the "Reroll" value to access a parallel timeline (alternate calculation result) for the same candle.
5. Disco Visuals: Background colors dance rhythmically while spinning and settle down when locked.
1. Add to chart (highly volatile assets like BTC or FX recommended).
2. Select Loto 6 or Loto 7 in the settings.
3. Watch the chart and feel the "wave" of the market.
4. Check the "Stop (Lock Numbers)" box in settings when your intuition strikes.
5. Note down the numbers. (Use the "Reroll" input if you want to reshape your destiny).
This tool is for entertainment purposes only. It does not guarantee any lottery winnings. Please play responsibly.
Adjustable Average Dollar Volume ( Mashrab)Institutional Shadow Hunter. It’s not just a volume bars; it’s a X-ray for the "Big Money" flow.
The Logic: Trading the Vacuum
Standard volume tells you how many shares moved. This indicator tells you how much cash was committed. When the market goes quiet, the Shadow appears. When the "Smart Money" strikes, the Shadow vanishes.
1. The Stealth Phase (The Shadow)
When you see shading below the Average Line, the stock is in a liquidity vacuum.
The Signature: Small, shaded bars indicate "Quiet Accumulation."
The Elite Move: Look for the shadow to get as thin as possible—this is the Volatility Contraction (VCP) right before a massive expansion.
2. The Strike (The Breakout)
The moment the shading disappears, the stealth phase is over.
The Signature: A solid, bright bar towering above the Average Line.
The Elite Move: If this "unshaded" bar happens as the price breaks a pivot point, you have a 99% conviction "Home Run" entry.
3. The Bull Test (Institutional Defense)
Use the shadow to distinguish between a "crash" and a "rest."
The Logic: If the price pulls back but the bars stay shaded and low, no big funds are selling. It’s just a "shakeout" of weak hands before the next leg up.
Sakalau02 (10 Sessions)Market Sessions – 10 Customizable Sessions
This indicator plots up to 10 fully customizable market sessions directly on the chart.
Each session can be individually configured with its own time range, color, and label, and is displayed as a dynamic box that automatically tracks the session high and low.
Features
Up to 10 fully customizable trading sessions
Individual session time, color, and name customization
Automatic session high / low tracking
UTC-based session logic with optional weekend filtering
Clean and lightweight visual design for intraday analysis
Well suited for ICT / Smart Money Concepts (SMC) trading
Designed for flexibility and clarity, this indicator allows traders to adapt session analysis to their own trading style while keeping the chart clean and easy to read.
Forward Path (ATR Drift) + Confidence [v6]This indicator helps traders visualize where price is statistically likely to travel, how wide the uncertainty is, and how confident history has been in similar conditions — all without claiming to “predict” the market.
What this indicator does
This indicator projects a probable future price path for the next 15 / 20 / 30 candles on any chart and timeframe.
It combines:
Trend direction (EMA slope)
Volatility (ATR)
Historical behavior in similar market conditions
to show where price is likely to travel and how confident that expectation is.
What you see on the chart
Solid forward line
→ The most likely price path based on current trend momentum.
Dotted upper & lower lines
→ Expected price range using current volatility (ATR).
Think of this as the probable zone, not a target.
Confidence label
Prob Up (%) – how often price moved higher after N candles in similar conditions
Prob Down (%) – how often price moved lower
These are historical probabilities, not predictions.
How to use it (simple & practical)
1️⃣ Directional bias
If the projected path slopes up and Prob Up > 60%, the market favors longs.
If the path slopes down and Prob Down > 60%, the market favors shorts.
Near 50/50 → no edge, wait for structure or confirmation.
2️⃣ Expectation setting
Use the projection length (15 / 20 / 30 bars) to match your trade horizon.
Don’t expect price to exceed the dotted bands easily — they represent normal volatility.
3️⃣ Risk & trade management
Entries near the base path = better risk-reward.
Use the opposite band as a guide for:
Stop placement
Partial profit booking
Wide bands = reduce position size.
4️⃣ Trade filtering
Take trades only when your setup aligns with the projected direction.
Skip trades when:
Probability is low
Bands are extremely wide
Projection is flat (range-bound market)
Best use cases
Swing trading
Trade planning before entry
Position sizing & expectation control
Avoiding low-edge, random trades
What this indicator is NOT
❌ A price predictor
❌ A buy/sell signal generator
❌ A replacement for price action
It is a decision-support tool designed to visualize direction, uncertainty, and historical confidence.
Historical Annual Avg Growth Lines + 1-Year ProjectionThis script creates an overlay indicator on your TradingView chart that visualizes the historical average annual growth rate of the selected instrument (e.g., TSLA) in a specific way. Here's a step-by-step summary of what it represents and how it works:
Overall Purpose
It calculates the average annual percentage gain (arithmetic mean) across the instrument's entire trading history, using non-overlapping periods of 252 trading days each (approximating one year, excluding weekends/holidays).
It then draws horizontal green lines on the chart for each complete "year" segment, showing a projected "fair value" price level for that year based on the overall average growth rate.
This helps you compare actual historical price action against what the price "would have been" if it had grown steadily at the stock's long-term average annual rate. Lines above actual prices suggest periods where growth exceeded the average (potentially overvalued in hindsight), while lines below suggest underperformance (potentially undervalued).
The calculation excludes the most recent incomplete year (any bars beyond the last full 252-day segment), ensuring only fully realized historical periods are used.
Key Calculations
Identifying Complete Years: It divides the chart's data from the first trading day (bar_index 0) into segments of exactly 252 bars each. For example:
Year 1: Bars 0 to 251
Year 2: Bars 252 to 503
And so on, up to the last full segment before the current bar.
If the total bars aren't a perfect multiple of 252, the partial current year is ignored.
Average Annual % Gain: For each complete year segment:
It computes the % gain as (end_price - start_price) / start_price.
Sums these % gains across all years and divides by the number of years to get the overall average (e.g., if TSLA averaged 42% per year historically, that's the value used).
Projected Price Lines: For each year segment:
Takes the starting price of that year.
Applies the overall average % gain to project a "target" end-of-year price: start_price * (1 + average_annual_gain).
Draws a horizontal line at that projected price level, spanning only the bars of that specific year (e.g., a flat green line covering 252 bars, positioned above or below the actual price action for visual comparison).
Visual Representation
Horizontal Lines: Each green line is flat and covers one historical year block on the chart. Earlier years (left side) will have lower projected prices (reflecting lower starting prices), while later years (right side) will have higher ones as the base price compounds over time—but each is independent and based on that year's start.
No Smoothing or Rolling: Unlike a moving average, these are static historical segments (non-overlapping), recalculated only on the last bar for efficiency.
Example on TSLA: Assuming TSLA's long-term average annual gain is ~42% (based on its history since 2010 IPO), the line for Year 1 would be at * 1.42, spanning the first 252 bars. Year 2 would start from the actual price at bar 252 and project * 1.42, and so on. If lines are consistently above actual prices in recent years, it might indicate recent growth slowing relative to historical averages.
Forward Projection (1 Year Out)
The script also extends a dashed orange horizontal line to the right of the current bar, projecting the price one year into the future based on the same historical average annual growth rate.
It starts from the end price of the last complete historical year as the base.
Applies the average % gain once more to estimate the "target" price after another 252 trading days (e.g., base_price * (1 + average_annual_gain)).
The line is dashed and orange for distinction, extending approximately 252 bars to the right (scroll or zoom right to view the full projection). This provides a visual guide for where the price "might" trend if growth continues at the historical average, helping with long-term investment planning like setting targets or assessing potential upside.
Asia / London / Overlap / NY Sessions - Live + Futuresession markers to determine which session you're currently playing at
3 EMA Kesisim-Canengin15 dakikalık grafiklerde ema 8 in sırasıyla 21 ve 50 yi kesmesi ile alim satim sinyali üretir
Money Management Trade Data BoxTrade Data Box - Money Management Indicator
Overview
This indicator provides real-time position sizing and risk management calculations directly on your chart. It displays a clean data box that helps traders maintain disciplined risk management by automatically calculating the optimal number of contracts to trade based on ATR (Average True Range) volatility measurements.
What It Does
The indicator solves a critical problem that many traders face: determining the correct position size before entering a trade. Instead of manually calculating how many contracts to trade based on your risk tolerance and stop loss distance, this tool does all the math for you in real-time.
Key Features
ATR-Based Stop Loss & Target Calculation
Uses the Average True Range to set dynamic stop losses and profit targets that adapt to current market volatility
ATR multipliers allow you to customize how conservative or aggressive your stops and targets are (reasonable reward-to-risk ratio).
Automatic Position Sizing
Calculates exactly how many contracts you should trade to risk a specific dollar amount
Takes into account your defined risk per trade, the instrument's tick value, and the calculated stop loss distance
Updates continuously as market conditions change
Visual Data Box
Displays four critical pieces of information:
Target (ticks): How far your profit target is from entry
Stop (ticks): How far your stop loss should be placed
Risk Amount: Your fixed dollar risk per trade
Contracts: The calculated number of contracts to trade
Customization Options
Adjustable table size for different screen sizes
Six position options to place the box wherever you prefer on your chart
Optional "real close" dots to verify you're seeing actual closing prices if you are using Heiken Ashi Candles.
How Traders Use This
Set Your Risk Parameters: Input your maximum dollar risk per trade (e.g., $200) and the tick value for your instrument (e.g., $0.50 for Micro NQ (MNQ) futures)... verify your tick value before trading to ensure your risk management is correct.
Adjust ATR Settings: Customize the ATR length and multipliers based on your trading style and the instrument's characteristics.
Read the Box Before Trading: Before entering any trade, check the data box to know:
Where to place your stop loss
Where to set your profit target
How many contracts to trade to maintain consistent risk
Execute with Confidence: Enter your trade knowing you're risking exactly the amount you're comfortable with, regardless of how volatile the market is
Why This Matters
Professional traders know that position sizing is more important than entry timing. This indicator ensures you're never over-leveraged during volatile periods or under-leveraged during quiet markets. By basing calculations on ATR, your stops and targets automatically adjust to current market conditions, helping you maintain consistent risk across all trades.
Market Cycle Strength# Market Cycle Strength (MCS)
## Overview
Market Cycle Strength is a comprehensive composite indicator that synthesizes six key market health metrics into a single score ranging from -100 to +100. The indicator is designed to help traders assess the current market regime and identify potential turning points by analyzing multiple dimensions of market structure simultaneously.
## How It Works
### Components
The indicator combines six distinct market signals, each weighted by default as follows:
| Component | Weight | What It Measures |
|-----------|--------|------------------|
| **Momentum (30%)** | Price trend strength via SPY's position relative to 50/200 SMAs, golden/death cross status, and rate of change |
| **Credit Spreads (20%)** | Risk appetite through HYG/LQD ratio (high yield vs investment grade bonds) |
| **VIX Structure (20%)** | Fear/greed levels and volatility regime |
| **Market Breadth (15%)** | Participation via RSP/SPY ratio (equal weight vs cap weight performance) |
| **Sector Rotation (10%)** | Leadership patterns by comparing cyclical sectors (XLK, XLY, XLF, XLI, XLB) against defensive sectors (XLU, XLP, XLV, XLRE) |
| **Yield Curve Proxy (5%)** | Flight-to-safety signals via TLT/SHY ratio |
### Score Interpretation
The composite score maps to six market regimes:
- **Strong Bull (+50 to +100)**: Broad strength across most components - healthy expansion
- **Bull (+25 to +50)**: Generally positive conditions with some caution areas
- **Weak Bull (0 to +25)**: Positive but deteriorating - correction risk rising
- **Neutral (-25 to 0)**: Mixed signals - unclear direction, increased caution warranted
- **Bear (-50 to -25)**: Multiple stress indicators present - defensive posture recommended
- **Strong Bear (-100 to -50)**: Significant market stress - crisis conditions
### Contrarian Application
Historical backtesting suggests this indicator has **contrarian value** at extremes:
- Extremely bearish readings (below -25) have historically preceded above-average forward returns
- Very bullish readings (above +70) may indicate complacency rather than a buy signal
The dashboard displays a "CONTRARIAN: BUY SIGNAL" when the score drops below -25, highlighting potential accumulation opportunities.
## How To Use
### Setup
1. Apply the indicator to any chart but SPY is recommended (it fetches all required data via `request.security`)
2. The indicator works best on daily timeframes for regime analysis
3. Adjust component weights in settings if you want to emphasize certain signals
### Dashboard
The table displays:
- **Composite Score**: Overall market health reading
- **Regime**: Current market classification
- **Component Breakdown**: Individual scores for each of the six inputs
- **Status Flags**: Golden/Death cross, credit health, sector leadership, etc.
### Alerts
Four alert conditions are available:
- **Strong Bull Entry**: Score crosses above +50
- **Bear Warning**: Score crosses below -25
- **Contrarian Buy Signal**: Extreme bearish reading (potential opportunity)
- **Regime Change**: Any transition between market regimes
## Best Practices
1. **Context Matters**: Use alongside price action and other analysis - no indicator works in isolation
2. **Timeframe**: Most reliable on daily charts; intraday may produce noise
3. **Extremes Are Signals**: Pay special attention when the score reaches extreme levels in either direction
4. **Component Analysis**: Check individual components to understand what's driving the composite score
5. **Confirmation**: Wait for regime changes to be confirmed by multiple components, not just one
## Inputs
- **Component Weights**: Customize the importance of each signal (default weights sum to 1.0)
- **Show Dashboard**: Toggle the information table on/off
- **Show Zone Background**: Toggle colored zone fills
- **Table Position**: Move dashboard to any corner
- **Alert Thresholds**: Customize notification trigger levels
## Data Sources
The indicator pulls data from:
- SPY, RSP (market proxies)
- HYG, LQD (credit markets)
- TLT, SHY (bond markets)
- VIX (volatility)
- XLK, XLY, XLF, XLI, XLB (cyclical sectors)
- XLU, XLP, XLV, XLRE (defensive sectors)
## Limitations
- Requires access to US market data (best results with TradingView's data feeds)
- Historical data needed for SMA calculations (200+ bars minimum)
- VIX term structure (VIX3M) not available on TradingView, so that component is omitted
- Works best as a daily regime indicator, not for intraday timing
## Acknowledgments
This indicator synthesizes concepts from multiple areas of market analysis including momentum trading, credit cycle research, volatility analysis, and sector rotation theory. The composite approach aims to provide a holistic view of market conditions rather than relying on any single metric.
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**Disclaimer**: This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance of any methodology is not indicative of future results. Always conduct your own research and consider your risk tolerance before making trading decisions.
Quant Seasonality ProQuant Seasonality Pro (QuantSeaz)
Quant Seasonality Pro is a data-driven seasonal projection tool that extracts historical day-of-year return patterns and transforms them into a forward-looking price curve. Using log returns, cycle filters, and volatility-based scaling (ATR), it generates a dynamically anchored seasonal roadmap directly on your chart.
The indicator allows you to switch between Trading Days (stocks/forex) and Calendar Days (crypto), apply U.S. election cycle filters, and analyze precisly historical data. The projected curve is detrended to isolate true seasonal structure and then scaled to current market volatility for realistic visualization.
A built-in statistical dashboard provides:
Confidence (%) based on historical win rates
Expected Alpha (%) over the selected forward window
ATR % (noise level)
Viability ratio (Alpha adjusted for risk)
This tool is designed for contextual edge — not signal automation. It helps traders align positioning with historical seasonal tendencies while maintaining proper risk management and independent confirmation.
Hope you enjoy it
Seasonality (100% reliable for the W)Quant Seasonality Pro (QuantSeaz)
Quant Seasonality Pro is a data-driven seasonal projection tool that extracts historical day-of-year return patterns and transforms them into a forward-looking price curve. Using log returns, cycle filters, and volatility-based scaling (ATR), it generates a dynamically anchored seasonal roadmap directly on your chart.
The indicator allows you to switch between Trading Days (stocks/forex) and Calendar Days (crypto), apply U.S. election cycle filters, and analyze historical data precisly. The projected curve is detrended to isolate true seasonal structure and then scaled to current market volatility for realistic visualization.
A built-in statistical dashboard provides:
Confidence (%) based on historical win rates
Expected Alpha (%) over the selected forward window
ATR % (noise level)
Viability ratio (Alpha adjusted for risk)
This tool is designed for contextual edge — not signal automation. It helps traders align positioning with historical seasonal tendencies while maintaining proper risk management and independent confirmation.
Polynomial Regression Clustering [LuxAlgo]The Polynomial Regression Clustering indicator utilizes K-Means clustering to categorize historical price data into discrete levels and fits polynomial regression curves to each identified cluster.
This tool allows traders to visualize non-linear trends within specific price regimes, providing a unique perspective on support, resistance, and price momentum.
🔶 USAGE
The indicator identifies "K" number of clusters based on the vertical distribution of price over a user-defined lookback period. Each cluster represents a group of bars that share similar price levels, and a polynomial regression line is calculated to represent the localized trend for that specific group.
🔹 Cluster Identification
The script groups price action into color-coded dots. By default, it uses the HL2 (Average price) to determine which cluster a bar belongs to. This is particularly useful for identifying historical value areas where price has spent a significant amount of time.
🔹 Polynomial Fitting
Unlike standard linear regression, which produces a straight line, the polynomial regression curves can bend to fit the data more accurately.
A Polynomial Degree of 1 will result in a standard linear regression (straight lines). A Polynomial Degree of 2 or higher allows for curves that capture parabolic moves or cyclical swings within each cluster.
🔹 Future Projections
The current active cluster (the one containing the most recent price point) can be projected into the future. This allows you to see where the localized trend for the current price regime is heading based on the mathematical fit of historical data.
🔶 DETAILS
🔹 K-Means Algorithm
The script uses an iterative K-Means algorithm to find the optimal centroids (center points) for the price levels. It calculates the distance of each price point to the nearest centroid and refines the centroid position until the clusters are stable or the maximum iterations are reached.
🔹 Regression Logic
Once price points are assigned to a cluster, the script solves for the coefficients of a polynomial equation that minimizes the distance between the line and the cluster's data points. To ensure numerical stability with higher degrees, the horizontal (time) axis is normalized before performing matrix operations.
🔶 SETTINGS
🔹 K-Means
Number of Clusters (K): Defines how many price levels the indicator should look for. Higher values create more granular levels. Lookback Period: The number of recent bars used to perform the clustering and regression calculation. Max Iterations: The maximum number of refinement steps for the K-Means algorithm.
🔹 Regression
Polynomial Degree: Controls the "bend" of the regression lines. Higher degrees allow for more complex curves. Extend All Fits to Current Bar: When enabled, the regression lines for all historical clusters are extended to the rightmost edge of the chart. Project Current Cluster into Future: Extends the current regime's regression line into the future (empty space) using a dashed line.
🔹 Visual Style
Show Regression Lines: Toggles the visibility of the polynomial curves. Show Cluster Dots: Toggles the visibility of the colored dots on each price bar. Dot Size: Adjusts the size of the cluster dots. Cluster Colors: Customizable colors for each of the identified clusters.
Position Size Dashboard (Gold / Forex / Indices)A clean, MT5-accurate position sizing tool that instantly calculates lot size based on risk and stop-loss range. Designed for discretionary and prop-firm traders who want fast, no-nonsense sizing without manual math. Supports Gold (XAUUSD), Forex pairs, and Indices, with clear on-chart dashboard output.
How to Use (Step-by-Step)
Add the indicator to your chart
Open Settings → Inputs
Enter your Risk ($) (e.g., 100)
Enter SL Range
Forex → pips
Gold / Indices → price points
Enable or disable Gold / Forex / Indices rows as needed
Choose dashboard position, colors, and text size
Click OK → Lot size is calculated instantly and shown on chart
