euroPRO_Alarme_1.03euroPRO Alarm System - Alert Indicator
Professional alert system with lockout protection for EUR/USD trading.
Key Features:
- 20-pip lockout zone with visual box
- Automatic setup detection alerts
- Night range tracking
- Session filter (07:00-22:00 CET)
- Webhook support for Discord/Slack
- Color-coded lockout status (gray = locked, green = free)
Technical Details:
- Based on proven NanoTrader strategy
- Optimized for EUR/USD 5-minute timeframe
- Prevents overtrading with lockout logic
- Clean visual design
(c) forexPRO-Systeme - Thorsten Helbig
For licensed users only
Support: hallo@forexpro-systeme.de
Cycles
Wyckoff Accumulation Distribution + PredictionIntroduction to Wyckoff Theory
The Wyckoff Method is a comprehensive technical analysis framework developed by Richard Wyckoff in the early 1900s that analyzes market cycles based on supply and demand dynamics. The method identifies four distinct market phases: Accumulation (smart money buying at low prices), Markup (bullish trend), Distribution (smart money selling at high prices), and Markdown (bearish trend). Wyckoff theory operates on three fundamental laws: the Law of Supply and Demand, the Law of Cause and Effect, and the Law of Effort versus Result.
What This Indicator Does
This indicator automatically identifies and visualizes Wyckoff accumulation and distribution patterns on your charts using RSI-based trend analysis combined with pivot point detection. The script marks key Wyckoff events including:
Accumulation Phase Events
SC (Selling Climax): Marks extreme selling pressure and potential bottoms
AR (Automatic Rally): Identifies the reflexive bounce after capitulation
ST (Secondary Test): Flags retests of the selling climax area
Spring: Detects false breakdowns that precede bullish moves
Distribution Phase Events
BC (Buying Climax): Identifies exhaustion at market tops
AR (Automatic Reaction): Marks the initial selloff after euphoria
ST (Secondary Test): Flags retests of the buying climax
UTAD (Upthrust After Distribution): Detects false breakouts before declines
The indicator draws color-coded boxes around consolidation zones (green for accumulation, red for distribution) and displays all pivots with labeled markers. The advanced predictive functionality analyzes current market structure to forecast the next likely Wyckoff phase with a confidence score based on RSI positioning, phase duration, trend alignment, and volatility factors.
Recommended Settings
RSI Length (Default: 14)
Keep at 14 for standard RSI calculations, which aligns with traditional momentum analysis. Shorter periods (7-10) increase sensitivity for intraday trading, while longer periods (20-25) smooth signals for swing trading.
Trend Sensitivity (Default: 20)
This critical parameter defines the RSI threshold bands around the 50 level. Lower values (10-15) generate more frequent signals and identify shorter consolidation periods, ideal for active markets. Higher values (25-35) filter for stronger trends and longer accumulation/distribution phases, suitable for position trading.
Pivot Length (Default: 5)
Controls the lookback period for identifying swing highs and lows. Use 3-4 for shorter timeframes (15m-1h) to catch rapid phase transitions, 5-7 for daily charts, and 8-10 for weekly charts to focus on major turning points.
Prediction Settings
Enable prediction to display forward-looking phase forecasts. Set minimum confidence to 60-70% to filter for high-probability setups, and adjust prediction label distance (5-20 bars) based on your chart's visual clarity preferences.
Best Practices
Start with default settings and adjust trend sensitivity based on the asset's volatility—volatile assets benefit from higher sensitivity values to avoid false signals. The indicator works best on timeframes from 4HR and daily charts where accumulation and distribution patterns have time to develop.
PLOW/PLHW (Potential weekly highs/lows)AP Capital – PLOW / PLHW (Potential Weekly Low / High)
This indicator highlights Potential Weekly Lows (PLOW) and Potential Weekly Highs (PLHW) in real time, using current-week price action, session context, and confirmed candle closes.
It is designed for intraday and swing traders who want early-week and late-week structure levels without repainting or hindsight bias.
🔹 How It Works
Potential Weekly Low (PLOW)
Detected during early week sessions
Triggers when price prints the current week’s lowest low
Confirmed only on candle close
Typically aligns with liquidity grabs, stop runs, or accumulation
Potential Weekly High (PLHW)
Detected during late week sessions
Triggers when price prints the current week’s highest high
Confirmed only on candle close
Often marks distribution or exhaustion zones
📊 Visual Elements
Clean weekly high & low levels
Optional weekly midpoint
Session-aware confirmation
Non-repainting labels
Minimalist layout (no clutter)
⚙️ Key Features
Works on any intraday timeframe
Fully non-repainting
Session-based logic (early vs late week)
Optional weekly range info panel
Suitable for Gold, FX, Indices, Crypto
🧠 Best Use Cases
Fade moves into weekly extremes
Combine with:
Previous Day High / Low
Liquidity sweeps
Market structure shifts
Identify high-probability reversals
Avoid chasing price late in the week
⚠️ Important Notes
This is NOT predictive — levels are confirmed from live price action
Best used as context, not a standalone entry system
Designed to complement price action & liquidity-based trading
📌 Disclaimer
This indicator is for educational purposes only.
Not financial advice. Always manage risk.
Global M2 Indexed (Webhook)Global M2 money supply indicator that tracks liquidity from major economies (US, China, Japan, UK, Eurozone) and correlates it with Bitcoin price movements.
**Features:**
• Tracks global M2 money supply converted to USD
• Adjustable forward offset (default 70 days) as a leading indicator
• Indexed scaling to visually correlate with BTC price
• Forward-looking price prediction based on liquidity trends
• OUTLOOK indicator: Very Bullish → Very Bearish
**How to Use:**
• Blue line shows where M2 liquidity suggests BTC should be
• When M2 line is above BTC price, expect potential upside
• When M2 line is below BTC price, expect potential consolidation
• Check the info table for specific price targets and outlook
**Settings:**
• Slide Days Forward: Adjust the leading indicator offset
• Lookback Period: Period for indexing calculations
• Country toggles: Enable/disable specific economies
yesterday
Release Notes
Global M2 money supply indicator that tracks liquidity from major economies (US, China, Japan, UK, Eurozone) and correlates it with Bitcoin price movements.
**Features:**
• Tracks global M2 money supply converted to USD
• Adjustable forward offset (default 70 days) as a leading indicator
• Indexed scaling to visually correlate with BTC price
• Forward-looking price prediction based on liquidity trends
• OUTLOOK indicator: Very Bullish → Very Bearish
**How to Use:**
• Blue line shows where M2 liquidity suggests BTC should be
• When M2 line is above BTC price, expect potential upside
• When M2 line is below BTC price, expect potential consolidation
• Check the info table for specific price targets and outlook
**Settings:**
• Slide Days Forward: Adjust the leading indicator offset
• Lookback Period: Period for indexing calculations
• Country toggles: Enable/disable specific economies
Global M2 Indexed (Webhook)Global M2 money supply indicator that tracks liquidity from major economies (US, China, Japan, UK, Eurozone) and correlates it with Bitcoin price movements.
**Features:**
• Tracks global M2 money supply converted to USD
• Adjustable forward offset (default 70 days) as a leading indicator
• Indexed scaling to visually correlate with BTC price
• Forward-looking price prediction based on liquidity trends
• OUTLOOK indicator: Very Bullish → Very Bearish
**How to Use:**
• Blue line shows where M2 liquidity suggests BTC should be
• When M2 line is above BTC price, expect potential upside
• When M2 line is below BTC price, expect potential consolidation
• Check the info table for specific price targets and outlook
**Settings:**
• Slide Days Forward: Adjust the leading indicator offset
• Lookback Period: Period for indexing calculations
• Country toggles: Enable/disable specific economies
yesterday
Release Notes
Global M2 money supply indicator that tracks liquidity from major economies (US, China, Japan, UK, Eurozone) and correlates it with Bitcoin price movements.
**Features:**
• Tracks global M2 money supply converted to USD
• Adjustable forward offset (default 70 days) as a leading indicator
• Indexed scaling to visually correlate with BTC price
• Forward-looking price prediction based on liquidity trends
• OUTLOOK indicator: Very Bullish → Very Bearish
**How to Use:**
• Blue line shows where M2 liquidity suggests BTC should be
• When M2 line is above BTC price, expect potential upside
• When M2 line is below BTC price, expect potential consolidation
• Check the info table for specific price targets and outlook
**Settings:**
• Slide Days Forward: Adjust the leading indicator offset
• Lookback Period: Period for indexing calculations
• Country toggles: Enable/disable specific economies
Previous Highs and Lows (M, W, D) Displays previous Monthly, Weekly, and Daily key swing highs/lows with clean , timeframe-specific coloring. Essential structure reference for multi-timeframe traders!!
Your Monthly/Weekly/Daily structural backbone in one indicator!!!!
Bullish, Bearish, & Normal RSI1. Identifying "True" Momentum (The Aqua/Fuchsia Logic)The most useful part of this script is the comparison between the three lines.Bullish Conviction (Aqua): When both the Bullish and Bearish lines are above the Normal RSI, it suggests that even on "down" candles (red candles), the price isn't losing significant ground. The overall structure is buoyant.Bearish Conviction (Fuchsia): When both are below the Normal RSI, it indicates that even when you get "up" candles (green candles), they lack the strength to lift the average momentum. The sellers are effectively "smothering" the bounces.
2. Spotting Hidden Weakness/Strength (Spread Analysis)The "Spread" (the gap between rsiBull and rsiBear) provides a unique utility:ScenarioInterpretationUtilityWide SpreadHigh volatility and indecision. Green candles are very strong, but red candles are also very weak.Avoid trend-following; wait for a "squeeze" or narrowing.Tight SpreadHigh agreement in price action. Most candles are moving in a similar direction or with similar intensity.Great for identifying stable, trending moves with low noise.Bull/Bear CrossIf the Bullish RSI crosses above the Bearish RSI significantly.Can act as an early entry signal before the Standard RSI hits the 50-midline.
3. Practical Strategy Use CasesFilter for Breakouts: If you see a price breakout but the RSI color remains Gray, the move might lack "conviction." You ideally want to see the color flip to Aqua (for long) or Fuchsia (for short) as the breakout occurs.Exhaustion Signal: If the Normal RSI is overbought ($>70$) but the rsiBull begins to dip toward the rsiNormal, it suggests that the "green candle strength" is waning even if the price is staying high—a potential warning of a reversal.Potential Drawbacks to WatchLag: Like all RSI-based indicators, this is lagging. Because you are using a 14-period lookback on three different calculations, it may take a few bars to confirm a sentiment shift.Whipsaw in Sideways Markets: In a tight range-bound market, the color may flip between Aqua and Fuchsia rapidly, creating "noise."Pro-Tip: This indicator would be most effective when used in conjunction with Volume. If you get an "Aqua" signal on rising volume, the probability of a sustained trend is significantly higher.
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble
Executive Summary:
The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms.
Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail.
This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics.
1. The Core Philosophy: Why "Slope" Matters:
In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope.
This script introduces a novel approach: Slope Fitting.
Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?"
The Dual-Functionality of the Normalized Oscillator
The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously:
Directional Bias (The Slope):
When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights.
Overbought / Oversold (OB/OS) Identification:
Because the output is mathematically clipped and normalized:
Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion.
Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone.
Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift.
2. The "Mixture of Experts" (MoE) Architecture:
Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes.
This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome.
The 13 "Experts" Inside the Code:
All algorithms have been engineered to be Non-Repainting.
Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth.
Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points.
Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points.
Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs.
Coppock Curve: A momentum indicator originally designed for long-term market bottoms.
Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles.
MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns.
Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies.
Hilbert Transform: Measures the instantaneous position of the cycle.
Autocorrelation: measures the correlation of the current price series with a lagged version of itself.
SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting).
Wavelet (Simplified): Decomposes price into approximation and detail coefficients.
EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory.
3. The Adaptive "GBM" Learning Engine
This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart.
How it works:
Fitting Window: On every bar, the system looks back 20 days (configurable).
Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price.
Directional Bonus: It checks if the algorithm is pointing in the same direction as the price.
Weight Optimization:
Algorithms that match the price direction and correlation receive a higher "Fit Score."
Algorithms that diverge from price action are penalized.
A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively.
The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top.
4. How to Read the Interface:
The visual interface is designed for maximum information density without clutter.
The Dashboard (Bottom Left - GBM Stats)
Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise.
Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend).
Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision.
The Matrix (Bottom Right - Weight Table)
This table lifts the hood on the engine.
Fit Score: How well this specific algo is performing right now.
Corr/Dir: Raw correlation and Direction Match stats.
Weight: The actual percentage influence this algorithm has on the final line.
Cycle: The current value of that specific algorithm.
Regime: Identifies if the consensus is Bullish, Bearish, or Neutral.
The Chart Overlay
The Line: The Gradient-Colored line is the Weighted Ensemble Prediction.
Green: Bullish Slope.
Red: Bearish Slope.
Triangles: Zero-Cross signals (Bullish/Bearish).
"STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum.
Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down).
5. Trading Strategies:
A. The Slope Reversal (OB/OS Fade)
Concept: Catching tops and bottoms using the -1/+1 normalization.
Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8).
Trigger: The entry is taken not when it hits the level, but when the Slope flips.
Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative).
Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive).
B. The Zero-Line Trend Join
Concept: Joining an established trend after a correction.
Signal: Price is trending, but the Cycle pulls back to the Zero line.
Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend.
C. Divergence Analysis
Concept: Using the "Fit Score" to identify weak moves.
Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High.
Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning.
6. Technical Configuration:
Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability.
GBM Learning Rate (Default: 0.25): Controls how fast weights change.
High (>0.3): The system reacts instantly to new behaviors but may be "jumpy."
Low (<0.15): The system is very smooth but may lag in regime changes.
Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains.
Slope Lookback: The period over which the slope (velocity) is calculated.
7. Disclaimer & Notes:
Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals.
Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box.
Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management.
Author's Note
The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream.
If you find this tool useful, please leave a Boost and a Comment below!
CIS Trend Following System V2一.系統核心三條均線
5MA（橘色）: 短期動能
10MA（紫色）: 中期參考
25MA（藍色）: 主趨勢方向
背景色提示
綠色 :多頭趨勢
紅色 :空頭趨勢
灰色 :盤整
二、進場信號綠色三角「多」 - 順勢做多（推薦）
25MA向上，價格在5MA之上
連續陽線出現
每波趨勢前2次進場機會（最佳時機）
灰色三角「晚」 晚期追高（不建議）
條件同上，但已是第3次以後的進場
風險較高，提醒你在追漲
黃色三角「抄」 逆勢抄底（高風險）
下跌中出現強勢連續陽線
激進操作，建議小部位
三、出場信號（兩階段停損）第一階段 : 黃色X「注意」
跌破5MA或10MA（可設定）
系統記錄警戒線價格（顯示在K棒下方）
提高警覺，準備停損
第二階段 : 紅色X「平」
跌破警戒線，確認停損
立即出場
四、使用流程
看背景色 : 確認趨勢方向
等綠色多 : 順勢進場（避開「晚」信號）
盯黃色X :出現警告時注意警戒線
見紅色X就跑: 嚴格停損
CIS Trend Following System : Quick Guide
I. System Core
Three Moving Averages
5MA (Orange) : Short-term momentum
10MA (Purple) : Medium-term reference
25MA (Blue) : Main trend direction
Background Color Indicators
Green : Bullish trend
Red : Bearish trend
Gray : Consolidation
II. Entry Signals
Green Triangle Long : Trend Following (Recommended)
25MA trending up, price above 5MA
Consecutive bullish candles appear
First 2 entry opportunities per trend (optimal timing)
Gray Triangle Late : Late Entry (Not Recommended)
Same conditions as above, but 3rd entry or later
Higher risk, alerts you to chasing price
Yellow Triangle "Bottom" : Counter-Trend Bottom Fishing (High Risk)
Strong consecutive bullish candles during downtrend
Aggressive strategy, use small position size
III. Exit Signals (Two-Stage Stop Loss)
First Stage : Yellow X "Warning"
Price breaks below 5MA or 10MA (configurable)
System records alert line price (displayed below candle)
Stay alert, prepare for stop loss
Second Stage : Red X Close
Price breaks below alert line, confirming stop loss
Exit immediately
IV. Trading Flow
Check Background Color : Confirm trend direction
Wait for Green Long :Enter with trend (avoid Late signals)
Watch Yellow X: Monitor alert line when warning appears
Exit on Red X: Strict stop loss discipline
Swift-like Algo (V1) Trend Pullback ATR Risk AlimojanidThis indicator is a simple, rule-based trend-following system designed to help identify potential LONG and SHORT opportunities using market structure, momentum, and volatility.
It is inspired by professional “algo-style” tools, but built from scratch for learning, transparency, and flexibility.
🔹 How it works
1️⃣ Trend Detection
Uses Fast EMA vs Slow EMA
Only looks for:
LONGs in bullish trends
SHORTs in bearish trends
2️⃣ Entry Logic
Waits for a pullback toward the fast EMA
Confirms direction using price behavior
Optional RSI filter to avoid weak momentum trades
3️⃣ Risk Management
Stop Loss (SL) and Take Profit (TP) levels are calculated using ATR
Risk is defined in R-multiples (TP1, TP2)
Designed to adapt to market volatility
4️⃣ Visual & Alerts
Clear LONG / SHORT arrows
Automatic SL / TP level plotting
Built-in alert conditions for trade notifications
⚙️ Settings You Can Adjust
EMA lengths (trend sensitivity)
RSI confirmation (on/off)
ATR stop size
Risk-reward targets
Cooldown bars to avoid over-trading
⚠️ Disclaimer
This indicator is NOT a guaranteed trading system and should not be used as financial advice.
Always:
Backtest on your own market and timeframe
Use proper risk management
Paper trade before using real funds
The author is not responsible for any trading losses.
💡 Notes
Best used on trending markets
Works on Forex, Crypto, Indices, and Commodities
Timeframes: 15m and higher recommended
euroPRO_basis_1.01.04euroPRO Trading System - Main Indicator
Professional EUR/USD trading system with automatic FIP target zones and price labels.
Key Features:
- 20 FIP target zones (P1-P12 positive, N1-N8 negative)
- Automatic price labels at all FIP levels
- Real-time Card UI with system status
- Daily session filter (07:00-22:00 CET)
- High/Low markers with pip distance
- Automatic setup detection
- 20-pip lockout protection
Technical Details:
- Based on proven NanoTrader strategy
- Optimized for EUR/USD 5-minute timeframe
- Clean visual design
- Low CPU usage
© forexPRO-Systeme - Thorsten Helbig
For licensed users only
Support: hallo@forexpro-systeme.de
euroPRO Trading System - Haupt-Indikator
Features:
- FIP Zielbereiche (P1-P12, N1-N8)
- Automatische Preislabels
- Card-UI mit System-Status
- Session-Filter (07:00-22:00 MEZ)
© forexPRO-Systeme - Thorsten Helbig
Nur für lizenzierte User"
Crypto Session Range 📄 INDICATOR DESCRIPTION (ENGLISH)
Crypto Session Range (Custom Timezone) is a lightweight and accurate session-based indicator designed specifically for cryptocurrency markets (24/7).
This indicator allows traders to define custom trading time windows using any global timezone, solving common issues found in traditional session indicators that are built for stock markets.
🔹 Key Features
Custom timezone support (e.g. America/Puerto_Rico, America/New_York, UTC)
Up to 3 configurable trading sessions
Visual background highlighting during active sessions
Automatic High & Low range tracking for each session
Optional range extension after the session ends
Works on all crypto pairs and timeframes
🔹 Who Is This For?
Crypto traders who want precise session control
Day traders, scalpers, and session-based strategies
Traders who operate during specific market windows (London / NY / custom)
🔹 Notes
This indicator is not restricted to exchange trading hours and is fully compatible with 24/7 markets like crypto, unlike many default session tools.
Synchronicity Setup FinderThe Synchronicity Setup Finder is a high-confluence trading tool designed to identify precision reversal entries by requiring a perfect harmonic "sync" between multiple technical layers across both the 5-minute and 10-minute timeframes. The indicator functions as a strict digital gatekeeper; it only plots a signal when the price has recently rejected a Bollinger Band extreme (the mandatory catalyst), volatility has begun to coil into a squeeze, and both local and higher-timeframe Stochastics have aligned with accelerating SMA momentum. By using predictive gap analysis to anticipate moving average crossovers before they occur, it calculates a real-time probability score that filters out low-reward market noise, ensuring that "MTF BUY" and "MTF SELL" flags only appear when the technical weight of the evidence supports a high-ratio, institutional-grade setup.
COT Index (Indicator Version )COT INDEX (Commitment of Traders)
Overview This script provides a professional-grade implementation of the COT Index, a momentum and sentiment oscillator based on the CFTC (Commodity Futures Trading Commission) "Commitment of Traders" reports. Unlike raw net position indicators, this index normalizes data to identify relative extremes in market positioning over a specific lookback period (default: 26 weeks).
Originality & Utility While many COT indicators exist, this version addresses specific technical gaps:
Enhanced Normalization Formula: Uses a modified scale to provide a wider perspective of market exhaustion, including "over-extension" levels at 120% and -20%.
Symbol Correction Logic: Includes hardcoded fixes for specific roots like "HG" (Copper) and "LBR" (Lumber) to ensure data fetching accuracy where standard auto-conversion might fail.
Selective Filtering: Allows independent toggling of Commercials (Producers), Large Speculators, and Small Speculators.
Indicator vs. Strategy Version Please note that THIS IS THE INDICATOR VERSION designed for visual analysis and chart integration. For users looking to verify historical performance and signal accuracy, a SEPARATE BACKTESTING VERSION is available in my script panel.
Collaboration & Feedback I am constantly looking to optimize my scripts. If you have suggestions for improvements or feature requests, feel free to reach out. If you find this tool useful, please show your support by HITTING THE BOOST BUTTON—your collaboration helps keep these projects active.
How it Works
Data Retrieval: The script uses the TradingView LibraryCOT to pull Legacy report data (Futures only).
Net Positioning: Calculates the difference between Long and Short positions for the selected group.
Indexing: It applies a stochastic-like calculation over the user-defined weeks period to determine where current positioning sits relative to historical extremes.
How to Use It
Commercials (Producers): Look for readings above 80% (Upper Threshold) or below 20% (Lower Threshold). High readings by producers often indicate price floors, while low readings suggest price ceilings.
Confirmation: Use the 120% / -20 levels to identify extreme capitulation or unprecedented institutional interest.
RISK DISCLOSURE Trading futures and financial instruments involves substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.
The COT data provided is delayed by nature (usually released on Fridays with data from the previous Tuesday). This script is for educational and informational purposes only and does not constitute financial advice.
COT Report ( Indicator Version )COT REPORT (Commitment of Traders)
Overview This indicator provides a clean and highly functional visualization of the CFTC's "Commitment of Traders" (COT) Legacy reports. It allows traders to track the absolute and net positions of the three main market participants: Commercials (Hedgers), Non-Commercials (Large Speculators), and Non-reportable (Small Speculators).
Originality & Utility While standard COT indicators often only show net positions, this script offers:
Multi-Dimensional View: It fetches and allows the display of individual Long and Short positions, not just the net result, providing a deeper look at market liquidity and conviction.
Negative Value Toggle: A built-in feature to show Short positions as negative numbers on the Y-axis. This is critical for visual symmetry when comparing Long vs. Short accumulation.
Efficiency: Built using Pine V5 and the TradingView LibraryCOT, ensuring the most accurate and up-to-date data fetching from CFTC sources.
Indicator vs. Strategy Version Please note that THIS IS THE INDICATOR VERSION designed for visual analysis and chart integration. For users looking to verify historical performance and signal accuracy, a SEPARATE BACKTESTING VERSION is available in my script panel.
Collaboration & Feedback I am constantly looking to optimize my scripts. If you have suggestions for improvements or feature requests, feel free to reach out. If you find this tool useful, please show your support by HITTING THE BOOST BUTTON—your collaboration helps keep these projects active.
How it Works
Data Fetching: The script uses the Legacy report format, focusing on "Futures Only" to maintain consistency across historical data.
Participant Groups:
Commercials (Blue): Typically the "Smart Money" or hedgers.
Non-Commercials (Red): Large speculators and hedge funds.
Retail/Small Specs (Green): Non-reportable small-scale traders.
Visualization: By default, the script shows Net Positions for clarity, but users can enable individual Long/Short lines in the "Style" settings for granular analysis.
How to Use It
Trend Confirmation: When Commercials (Blue) and Non-Commercials (Red) diverge significantly, it often signals a strong trend or a potential major reversal.
Extreme Divergence: Look for moments where net positions reach historical multi-year peaks or valleys to identify market exhaustion.
Short Analysis: Use the "Show Shorts as negative numbers" toggle to see the true "weight" of the short side of the market relative to the zero line.
RISK DISCLOSURE Trading futures and financial instruments involves substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.
The COT data provided is delayed by nature (usually released on Fridays with data from the previous Tuesday). This script is for educational and informational purposes only and does not constitute financial advice.
Valuation Tool ( Indicator )VALUATION (Intermarket Relative Strength Index)
Overview The Valuation indicator is a sophisticated intermarket analysis tool designed to identify overvalued or undervalued conditions of an asset relative to its key correlated benchmarks. By comparing the percentage change of a base symbol against three different external assets (e.g., DXY, Gold, Bonds), the script highlights significant price-value divergences.
Originality & Utility Unlike standard RSI or momentum oscillators that only look at a single asset's price, this script provides a "Fair Value" perspective based on intermarket relationships:
Dynamic Correlation Tracking: It calculates the differential in percentage change between the main chart and three user-defined symbols.
Normalized Comparative Output: Uses a custom Rescale Function that translates raw performance differences into a normalized scale (-100 to +100), making it easy to spot historical extremes.
Custom Correlation Matrix: Traders can adapt the indicator to any asset class (Equities vs. Yields, FX vs. Commodities, etc.), providing a high degree of versatility for macro-thematic trading.
Indicator vs. Strategy Version Please note that THIS IS THE INDICATOR VERSION designed for visual analysis and identifying potential reversal zones. A dedicated BACKTESTING VERSION for quantitative validation is available in my script profile.
Collaboration & Feedback I am focused on refining intermarket models. If you have suggestions on default correlation baskets or logic improvements, please reach out. Support the project by HITTING THE BOOST BUTTON—it helps me continue sharing these tools.
How it Works
Performance Delta: The script measures the percentage change over a 'Period Length' for the main symbol and three comparison IDs (Default: DXY, Gold, 30Y Bonds).
Calculation of Divergence: It subtracts the benchmark's performance from the asset's performance. A positive result means the asset is outperforming the benchmark; a negative result means underperformance.
Rescaling: The raw divergence is normalized over a 'Rescale Length' (default 100 bars) to create a visual oscillator.
How to Use It
Overvalued (+75 Level): When the lines reach the upper dashed threshold, the asset has significantly outperformed its benchmarks, suggesting it may be "expensive" and due for a mean reversion or correction.
Undervalued (-75 Level): When the lines drop below the lower threshold, the asset has lagged significantly behind its correlations, indicating a potential "cheap" entry point.
Convergence/Divergence: Watch for all three lines to align at an extreme. Triple alignment at +/- 75 provides a high-probability signal of intermarket exhaustion.
RISK DISCLOSURE Trading involves substantial risk. Intermarket relationships can decouple during periods of high volatility or fundamental shifts. Past correlations do not guarantee future results. This tool is for informational purposes and should be used as part of a comprehensive trading plan.
Daily Direction ProfileThis indicator helps traders identify the probable direction of the current trading day by detecting breaks of the Previous Day High (PDH) and Previous Day Low (PDL), with a focus on early session breaks.
🎯 Core Concept
The underlying idea is simple: when price breaks above PDH or below PDL early in the trading day, it often signals the dominant direction for that session. Early breaks tend to be more meaningful than late-day breaks.
📊 Features
Session Boxes – Visualizes three major trading sessions (Asia, London, NY AM) as colored high/low range boxes
Daily Structure – Tracks the current day's high and low with horizontal lines, and marks day separators with vertical dashed lines
PDH/PDL Break Detection – Identifies the first break of the previous day's high or low
Time Filter – Optionally limits signals to the first part of the day (configurable, default 12 hours)
Visual Signals – Triangle markers at the day's starting bar plus optional break level lines
Dual EMAs – Fast and slow EMAs for additional trend context
Alerts – Built-in alert conditions for both PDH and PDL breaks
⚙️ Settings
Session Boxes
Asia Box Color – Color for the Asian session range box
London Box Color – Color for the London session range box
NY Box Color – Color for the New York AM session range box
Box Background Transparency – Transparency level for box fills (0 = solid, 100 = invisible)
Box Border Width – Line thickness of box borders (1-5)
Box Border Style – Border line style: Solid, Dashed, or Dotted
Lines
Daily High / Low Color – Color for the horizontal lines marking the current day's high and low
Day Separator Color – Color for the vertical dashed lines separating trading days
EMAs
EMA Fast Length – Period for the fast exponential moving average (default: 10)
EMA Slow Length – Period for the slow exponential moving average (default: 20)
EMA Fast Color – Color for the fast EMA line
EMA Slow Color – Color for the slow EMA line
Signals
Only first part of day – When enabled, break signals only trigger within the defined early session window
First part of day (hours) – Number of hours from day start during which signals are allowed (1-23)
Arrow offset (ticks) – Vertical distance of triangle markers from the daily high/low
Draw break line (PDH / PDL) – Toggle horizontal lines showing the broken PDH or PDL level
📈 How to Use
A green triangle (up) at day start indicates PDH was broken → potential bullish day
A red triangle (down) at day start indicates PDL was broken → potential bearish day
Use session boxes to understand where the move originated
Combine with the EMAs for trend confirmation
⚠️ Notes
Each break type (high/low) signals only once per day to avoid noise
Session times are based on New York timezone
Best suited for intraday timeframes (5m, 15m, 1h)
Multi Cycles Predictive System ML - GBM IntegratedMulti-Cycle Predictive System: The Gradient Boosting Machine (GBM) Revolution
Introduction: The Death of Static Analysis
The financial markets are not static; they are a living, breathing, and chaotic system. Yet, for decades, traders have relied on static indicators—using the same RSI settings, the same MACD parameters, and the same Moving Averages regardless of whether the market is trending, chopping, or crashing.
The Multi-Cycle Predictive System (MCPS) represents a paradigm shift. It is not just an indicator; it is an Adaptive Machine Learning Engine running directly on your chart.
By integrating a fully functional Gradient Boosting Machine (GBM), this script does not guess—it learns. It monitors 13 distinct algorithmic models, calculates their real-time accuracy against future price action, and dynamically reallocates influence to the "winning" models using gradient descent.
This is Survival of the Fittest applied to technical analysis.
1. The Core Engine: Gradient Boosting & Adaptive Learning
At the heart of the MCPS is a custom-coded Gradient Boosting Machine. While most "ML" scripts on TradingView simply average a few indicators, this system replicates the architecture of advanced data science models.
How the GBM Works:
Ensemble Prediction: The system aggregates signals from 13 different mathematical models.
Residual Calculation: It compares the ensemble's previous predictions against the actual price movement (Price Return) to calculate the error (Residual).
Gradient Descent: It calculates the gradient of the loss function. We utilize a Huber Loss Gradient, which is robust against outliers (market spikes), ensuring the model doesn't overreact to volatility.
Weight Optimization: Using a configurable learning rate, the system updates the weights of each sub-algorithm. Models that predicted correctly gain weight; models that failed lose influence.
Softmax Normalization: Finally, weights are passed through a Softmax function (with Temperature control) to convert them into probabilities that sum to 1.0.
The "Winner-Takes-All" Philosophy
A common failure in ensemble systems is "Signal Dilution"—where good signals are drowned out by bad ones.
The MCPS solves this with Aggressive Weight Concentration:
Top 3 Logic: The script identifies the top 3 performing algorithms based on historical accuracy.
The 90% Rule: It forces the system to allocate up to 90% of the total decision weight to these top 3 performers.
Result: If Ehlers and Schaff are reading the market correctly, but MACD is failing, MACD is effectively silenced. The system listens only to the winners.
2. The 13 Algorithmic Pillars
The MCPS draws from a diverse library of Digital Signal Processing (DSP), Statistical, and Momentum algorithms. It does not rely on simple moving averages.
Ehlers Bandpass Filter: Isolates the dominant cycle in price data, removing trend and noise.
Zero-Lag EMA (ZLEMA): Reduces lag to near-zero to track momentum shifts instantly.
Coppock Curve: A classic long-term momentum indicator, modified here for adaptive responsiveness.
Detrended Price Oscillator (DPO): Eliminates the trend to identify short-term cycles.
Schaff Trend Cycle (STC): A double-smoothed stochastic of the MACD, excellent for identifying cycle turns.
Fisher Transform: Converts price into a Gaussian normal distribution to pinpoint turning points.
MESA Adaptive: Uses Maximum Entropy Spectral Analysis to detect the current dominant cycle period.
Goertzel Algorithm: A DSP technique used to identify the magnitude of specific frequency components in the price wave.
Hilbert Transform: Extracts the instantaneous amplitude and phase of the price action.
Autocorrelation: Measures the similarity between the price series and a lagged version of itself to detect periodicity.
Singular Spectrum Analysis (SSA): Decomposes the time series into trend, seasonal, and noise components (Simplified).
Wavelet Transform: Analyzes data at different scales (frequencies) simultaneously.
Empirical Mode Decomposition (EMD): Splits data into Intrinsic Mode Functions (IMFs) to isolate pure cycles.
3. The Dashboard: Total Transparency
Black-box algorithms are dangerous. You need to know why a signal is being generated. The MCPS features two detailed dashboards (tables) located at the bottom of your screen.
The Weight & Accuracy Table (Bottom Right)
This is your "Under the Hood" view. It displays:
Algorithm: The name of the model.
Accuracy: The rolling historical accuracy of that specific model over the lookback period (e.g., 58.2%).
Weight: The current influence that model has on the final signal. Watch this change in real-time. You will see the system "giving up" on bad models and "betting heavy" on good ones.
Prob/Sig: The raw probability and directional signal (Up/Down).
The GBM Stats Table (Bottom Left)
Tracks the health of the Machine Learning engine:
Iterations: How many learning cycles have occurred.
Entropy: A measure of market confusion. High entropy means weights are spread out (models disagree). Low entropy means the models are aligned.
Top 3 Weight: Shows how concentrated the decision power is. If this is >80%, the system is highly confident in specific models.
Confidence & Agreement: Statistical measures of the signal strength.
4. How to Trade with MCPS
This system outputs a single, composite Cycle Line (oscillating between -1 and 1) and a background Regime Color.
Strategy A: The Zero-Cross (Trend Reversal)
Bullish: When the Cycle Line crosses above 0. This indicates that the weighted average of the top-performing algorithms has shifted to a net-positive expectation.
Bearish: When the Cycle Line crosses below 0.
Strategy B: Probability Extremes (Mean Reversion)
Strong Buy: When the Cycle Line drops below -0.5 (Oversold) and turns up. This indicates a high-probability cycle bottom.
Strong Sell: When the Cycle Line rises above +0.5 (Overbought) and turns down.
Strategy C: Regime Filtering
The background color changes based on the aggregate consensus:
Green/Lime: Bullish Regime. Look primarily for Long entries. Ignore weak sell signals.
Red/Orange: Bearish Regime. Look primarily for Short entries.
Gray: Neutral/Choppy. Reduce position size or wait.
5. Configuration & GBM Settings
The script is highly customizable for advanced users who want to tune the Machine Learning hyperparameters.
Prediction Horizon: How many days into the future are we trying to predict? (Default: 3).
Accuracy Lookback: How far back does the model check to calculate "Accuracy"?
GBM Learning Rate: Controls how fast the model adapts.
High (0.2+): Adapts instantly to new market conditions but may be "jumpy."
Low (0.05): Very stable, long-term adaptation.
Temperature: Controls the "Softmax" function. Higher temperatures allow for softer, more distributed weights. Lower temperatures force a "Winner Takes All" outcome.
Max Top 3 Weight: The cap on how much power the top 3 models can hold (Default: 90%).
6. Technical Nuances (For the Geeks)
Huber Gradient: We use Huber loss rather than MSE (Mean Squared Error) for the gradient descent. This is crucial for financial time series because price spikes (outliers) can destroy the learning process of standard ML models. Huber loss transitions from quadratic to linear error, making the model robust.
Regularization: L2 Regularization is applied to prevent overfitting, ensuring the model doesn't just memorize past noise.
Memory Decay: The model has a "fading memory." Recent accuracy is weighted more heavily than accuracy from 200 bars ago, allowing the system to detect Regime Shifts (e.g., transitioning from a trending market to a ranging market).
Disclaimer:
This tool is a sophisticated analytical instrument, not a crystal ball. Machine Learning attempts to optimize probabilities based on historical patterns, but no algorithm can predict black swan events or fundamental news shocks. Always use proper risk management.
The "Warmup Period" is required. The script needs to process 50 bars of history before the GBM engine initializes and produces signals.
Author's Note:
I built the MCPS because I was tired of indicators that stopped working when the market "personality" changed. By integrating GBM, this script adapts to the market's personality in real-time. If the market is cycling, Ehlers and Goertzel take over. If the market is trending, Coppock and ZLEMA take the lead. You don't have to choose—the math chooses for you.
Please leave a boost and a comment if you find this helpful!
AiQ Drama Channel [VIP MEMBER ONLY]AiQ PREMIUM Designed by KS
AiQ PREMIUM is not just an indicator; it is a complete, visually immersive trading ecosystem designed for traders who demand precision, aesthetics, and data-driven confidence.
Built upon advanced Fractal Adaptive Moving Average (FRAMA) logic and fused with a proprietary volatility engine, AiQ PREMIUM filters out market noise to reveal high-probability institutional setups.
💎 Core Features
1. DRAMA Volatility Engine (D-FRAMA) Unlike standard Moving Averages, our adaptive algorithm adjusts to market fractal dimensions. It tightens during consolidation to avoid false signals and expands during trends to capture the full move.
2. Multi-Timeframe (MTF) Matrix Stop guessing the trend. The built-in "Trend Matrix" scans M5, M15, M30, H1, and H4 timeframes in real-time. Signals are only generated when there is a confluence of momentum.
3. AiQ Confidence Score & Win Rate The dashboard calculates a dynamic Confidence Score (1-5 Stars) based on historical performance, trend alignment, and volatility strength.
⭐⭐⭐⭐⭐ = Strong Institutional Alignment
⭐ = Risky / Counter-trend
4. Auto-Fibonacci Extensions & Risk Management
Smart Entries: Clear visual signals with glassmorphism UI.
Dynamic Risk: SL/TP are calculated using ATR (Average True Range) to adapt to market volatility.
Auto Targets: Automatically projects TP1, TP2, TP3 (Fib 2.618), and TP4 (Fib 4.236).
5. Premium Visual Experience Choose your trading personality with our Theme Engine:
🏆 Black Gold: Luxury, high-contrast dark mode.
🦄 Cyber Neon: Modern, vibrant aesthetics.
⚪ Clean Quant: Minimalist institutional look.
🛠️ How to Use
Wait for the Signal: Look for the 🚀 LONG SETUP or 🚀 SHORT SETUP badge.
Check the Stars: Ideally, take trades with 3 stars or above on the dashboard.
Confirm with Matrix: Ensure the MTF Matrix (Top Right) shows "BULL" for Longs or "BEAR" for Shorts on higher timeframes (H1/H4).
Manage the Trade:
Secure partial profits at ✅ TP1.
Move SL to Breakeven at ✅ TP2.
Let runners fly to ✅ TP3 and ✅ TP4.
⚠️ Disclaimer - Trading involves high risk. This tool is designed to assist your analysis, not to replace it. Past performance is not indicative of future results. Always use proper risk management.
MIN AND MAX 52 WEEKThis indicator plots the 52 week high and 52 week low levels using weekly data and displays them on any timeframe.
It provides a long term structural reference to identify major support and resistance areas and potential yearly breakouts.
The indicator is intended for contextual market analysis and educational purposes only.
Scalp Fusion PRO (30s + MTF 1-2m): MACD + Squeeze + Ichimokudesigned for scalping very basic, for 30 second time frame, mtf confirmation at 1-2 minute time frame. using mom squeeze, macd and ichimoku clouds, still a work in progress, designed to give simple buy or sell signals
NineThirtyNineThirty
Description:
NineThirty draws a vertical line at any user-specified time, helping traders visually track important moments on a chart. It includes built-in alerts and pre-alerts, making it easy to receive notifications exactly when a target time is reached or minutes before. Fully customizable and compatible with all markets and timeframes.
Features:
Draws a vertical line at any user-defined time.
Customize line color, style (solid, dotted, dashed), and width.
Supports multiple timezones, including Exchange, UTC, and major global markets.
Option to show only the most recent line for a cleaner chart.
Alerts at the target time, with optional pre-alerts minutes in advance.
Use Cases:
Track key times for trading strategies or session opens.
Receive alerts when important moments occur without constantly watching the chart.
Combine with other indicators for time-based analysis across any market or timeframe.
Zig Zag ++ SG (Premium)🔥 Zig Zag ++ SG
Professional Market Structure & Cycle Analyzer
Zig Zag ++ SG is an advanced, research-grade market structure indicator built on top of a refined ZigZag engine, designed for traders and investors who want to understand price cycles, not chase candles.
This is not a buy-sell arrow tool.
It is a decision-support system used to analyze trend strength, exhaustion, pullback depth, and cycle behavior across any market and timeframe.
🧠 What Makes Zig Zag ++ SG Different?
Most ZigZag indicators only draw lines.
Zig Zag ++ SG answers the real questions:
Is the trend getting stronger or weaker?
Are higher highs still meaningful?
How deep are pullbacks in percentage terms?
Which stocks recover fast vs stay weak?
Is this accumulation, distribution, or reversal?
It does this by combining:
Market Structure (HH / HL / LH / LL)
Consecutive structure counting
Gain & fall percentage per swing
Clean visual logic (no repaint confusion)
📌 Core Features
✅ 1. Automatic Market Structure Detection
Labels every major swing as:
HH – Higher High
HL – Higher Low
LH – Lower High
LL – Lower Low
This instantly shows whether the market is:
Trending
Consolidating
Distributing
Reversing
✅ 2. Consecutive Structure Count (ON by default)
Each structure type is counted sequentially:
HH (1), HH (2), HH (3)…
HL (1), HL (2)…
This reveals:
Trend maturity
Exhaustion zones
Early breakdown warnings
Example:
HH (4) = trend may be overextended
HL (3) = healthy trend continuation
✅ 3. Gain & Fall % on Every Swing (ON by default)
Every HH, HL, LH, LL shows:
Exact % move from the previous pivot
This allows you to:
Compare pullback depth across stocks
Identify leaders (shallow HLs)
Spot weak stocks (deep HLs / LHs)
Study cycle symmetry
Example label:
HL (2)
-6.4%
✅ 4. Clean, Readable Visual Design
🟩 Green labels → White text
🟥 Red labels → High-contrast white text
Optional background trend shading (OFF by default)
Works perfectly in dark & light mode
Designed for long chart study sessions, not flashy screenshots.
✅ 5. Safe Repaint Logic (Transparent by Design)
Uses ZigZag logic intentionally
No fake “non-repainting” claims
Ideal for analysis, research & planning
What you see is structurally correct
This indicator is for thinking traders, not signal chasers.
⚙️ Best Settings (Recommended)
🔹 Intraday Trading
Timeframe: 5m / 15m
Depth: 8–10
Deviation: 3–5
Backstep: 2
🔹 Swing Trading (Most Popular)
Timeframe: Daily
Depth: 12–15
Deviation: 5
Backstep: 2
🔹 Long-Term / Investing
Timeframe: Weekly
Depth: 15–20
Deviation: 5–8
Backstep: 3
💡 Tip:
Lower depth = more swings
Higher depth = cleaner, major cycles
📈 How to Use Zig Zag ++ SG (Practically)
🔹 Trend Strength
HH (3+) + HL (2–3)
→ Strong, healthy trend
🔹 Exhaustion Warning
HH (4+)
→ Risk of distribution or slowdown
🔹 Pullback Quality
HL −3% to −7%
→ Strong stock
HL −12% to −20%
→ Weak hands / fragile trend
🔹 Reversal Confirmation
LH followed by LL (2+)
→ Trend change likely
🧪 Who Is This Indicator For?
✅ Swing traders
✅ Positional traders
✅ Long-term investors
✅ Market structure students
✅ Stock researchers
✅ Anyone tired of noisy indicators
❌ Not for:
People wanting instant buy/sell arrows
Scalpers chasing 1-minute signals
“Magic indicator” seekers
💎 Why This Is Worth Purchasing
Built with Pine Script v6 best practices
Solves real market questions
Helps avoid:
Buying late
Selling early
Holding weak stocks too long
Encourages process-driven trading
One-time learning tool you’ll use for years
Most traders lose money not because of entries —
but because they misread structure and cycles.
Zig Zag ++ SG fixes that.
