EMA crossover indicator for intraday trading.This indicator uses EMA crossover to identify buy and sell opportunities. it is useful for trend analysis and intraday trading
אינדיקטור Pine Script®
Trend
PSL AI - Analytical Intelligence=== OVERVIEW ===
PSL AI (Analytical Intelligence) is a comprehensive real-time market analysis assistant that transforms complex technical data into human-readable commentary. Instead of displaying raw numbers, this indicator interprets 19 different analysis modules and presents actionable insights in natural language.
Available in three languages: English, Turkish, and Chinese.
The indicator displays a dynamic commentary panel that updates with each bar, providing:
- Market character assessment (volatile, calm, institutional, panic)
- Trend direction with strength analysis
- Momentum status with divergence warnings
- ICT structures (FVG, MSS, Order Blocks)
- Support/Resistance levels with distance percentages
- Actionable scenarios with entry, target, and stop levels
- Trader psychology warnings (FOMO, panic alerts)
=== WHAT MAKES THIS INDICATOR ORIGINAL ===
Traditional indicators show numbers. PSL AI tells you what those numbers mean.
1. AI-Style Commentary Engine
The indicator contains 19 specialized analysis functions, each with 8 unique phrase variations. This creates over 50 trillion possible commentary combinations, ensuring the text never feels repetitive. The language adapts to market conditions: urgent during high volatility, calm during consolidation.
2. Multi-Factor Scoring System
Rather than relying on a single indicator, PSL AI evaluates 8 independent technical criteria and produces a unified score (0-8) with percentage confidence. This approach reduces false signals by requiring multiple confirmations.
3. Contextual Market Psychology
The indicator detects market "character" and warns traders about emotional traps:
- High volatility + high volume = "Big players are active, respect the move"
- RSI extreme + consecutive candles = "Don't FOMO" or "Don't panic sell"
- Score tie = "No clear edge, patience is also a strategy"
4. Actionable Scenario Planning
Instead of just showing support/resistance lines, PSL AI provides complete trade scenarios:
"If 84,416 breaks -> Target: 97,888 -> Stop: below 84,416"
This saves time and helps traders think in terms of risk/reward.
=== HOW IT WORKS - TECHNICAL DETAILS ===
SCORING SYSTEM (8 Criteria)
Each criterion adds +1 to Long Score or Short Score:
- MACD: Long if MACD > Signal | Short if MACD < Signal
- RSI: Long if between 50-70 | Short if between 30-50
- Stochastic: Long if %K between 50-80 | Short if %K between 20-50
- Volume: Long if RelVol > 1.2 + bullish bar | Short if RelVol > 1.2 + bearish bar
- Delta: Long if Close > Open | Short if Close < Open
- Trend: Long if EMA 50 > EMA 169 | Short if EMA 50 < EMA 169
- ADX + DI: Long if ADX > 20 and DI+ > DI- | Short if ADX > 20 and DI- > DI+
- CCI: Long if between 0-150 | Short if between -150-0
Final output examples:
- Score 7/8 Long = "BUY (7/8, 87%)"
- Score 5/8 Short = "SELL (5/8, 62%)"
- Score 3/3 Tie = "NEUTRAL (3/3)"
SUPPORT/RESISTANCE ALGORITHM
The S/R detection uses:
- Pivot High/Low detection with 10-bar lookback
- 284-bar historical analysis period
- Channel width filtering (10% of range)
- Strength requirement: minimum 2 pivot touches
- Identifies both nearest and secondary levels for multi-target scenarios
ICT STRUCTURES
Fair Value Gap (FVG):
- Bullish FVG: Current low > 2 bars ago high (gap up)
- Bearish FVG: Current high < 2 bars ago low (gap down)
- Minimum size filter: 30% of ATR(10)
- Auto-invalidation when price fills the gap
Market Structure Shift (MSS):
- Bullish MSS: Close breaks above last swing high
- Bearish MSS: Close breaks below last swing low
- Swing detection uses 5-bar pivot lookback
Order Blocks (OB):
- Bullish OB: Last bearish candle before bullish breakout
- Bearish OB: Last bullish candle before bearish breakdown
- 10-bar swing detection for OB identification
- Auto-invalidation when price breaks OB boundaries
ADDITIONAL ANALYSIS MODULES
- VWAP Analysis: Position relative to VWAP with distance percentage
- Gap Analysis: Detects daily gaps and tracks fill status
- Volatility Squeeze: ATR(5) < ATR(20) x 0.75 signals compression
- Breakout Confirmation: 20-bar high/low break with volume validation (>1.5x average)
- Key Level Rejection: Wick-to-body ratio analysis at S/R zones
- Accumulation/Distribution: Detects price/A-D divergence for hidden accumulation or distribution
=== 19 ANALYSIS MODULES ===
The commentary panel combines insights from these modules:
1. Market Character - Volatile, calm, institutional, or retail panic
2. Trend Analysis - Direction, strength, EMA distance, consecutive candles
3. Momentum - RSI/Stochastic status with overbought/oversold context
4. Candle Patterns - 21 formations (Doji, Hammer, Engulfing, Morning Star, etc.)
5. Volume Analysis - Relative volume, accumulation signals
6. ICT/FVG/MSS - Smart money concepts with entry levels
7. Order Blocks - OB position and status
8. Volatility - ATR-based risk assessment
9. 50-Bar Range - Distance to recent high/low
10. S/R Distance - Proximity warnings for support/resistance
11. Trader Psychology - FOMO/panic warnings based on conditions
12. VWAP - Intraday bias indicator
13. Gap Analysis - Gap status and fill probability
14. Volatility Squeeze - Pre-breakout compression detection
15. Breakout Confirmation - Real vs fake breakout assessment
16. Key Level Rejection - Wick rejection signals at critical levels
17. Accumulation/Distribution - Hidden buying/selling detection
18. Close Watch - Levels to monitor for confirmed breaks
19. Scenarios - Complete if/then trade plans
=== HOW TO USE ===
STEP 1: ADD TO CHART
Apply the indicator to any symbol and timeframe. Recommended: 15m, 1H, 4H, Daily.
STEP 2: CONFIGURE SETTINGS
- Language: Choose Turkish, English, or Chinese
- Position: Place panel in any corner or center
- Size: Adjust text size for your screen
- Color: Select neon accent color (Cyan, Purple, Pink, Green)
STEP 3: READ THE PANEL
The panel is organized top-to-bottom:
- Header: Symbol, timeframe, current price
- Analysis: Market commentary organized by topic
- Result: Final BUY/SELL/NEUTRAL verdict with score
- Close Watch: Key levels to monitor
- Scenarios: Conditional trade plans
STEP 4: ACT ON SCENARIOS
Example panel output:
CLOSE WATCH:
- 74,466 close BELOW = SELL
- 84,416 close ABOVE = BUY
SCENARIOS:
A) If 84,416 breaks:
Target: 97,888
Stop: below 84,416
B) If 74,466 breaks:
Target: 70,743
Stop: above 74,466
Wait for a confirmed candle close above/below the level before acting.
=== SETTINGS EXPLAINED ===
- Show AI Panel: Toggle the entire commentary panel on/off
- Language: Choose between Turkish, English, or Chinese
- Panel Position: 6 options available (corners, top-center, bottom-center)
- Text Size: Small (compact), Normal, or Large (more readable)
- Neon Color: Panel accent color (Cyan, Purple, Pink, or Green)
=== BEST PRACTICES ===
Recommended:
- Use on higher timeframes (1H+) for more reliable signals
- Wait for candle close before acting on breakout scenarios
- Combine with price action analysis, do not rely solely on the score
- Pay attention to psychology warnings during extreme RSI/consecutive candles
- Check volume confirmation for breakouts (indicator will warn if volume is weak)
Not Recommended:
- Trading every signal. Look for high-score (6+/8) setups
- Ignoring the "NEUTRAL" verdict. Sometimes no trade is the best trade
- Using on very low timeframes (1m, 5m) for swing trading decisions
=== LIMITATIONS ===
- Gap Analysis: Most effective on markets with sessions (stocks, forex). 24/7 crypto markets rarely produce traditional gaps.
- Real-time Updates: Commentary updates per bar close. Intra-bar price swings will not change the text until the bar completes.
- Language in Inputs: Due to Pine Script limitations, input labels remain in Turkish regardless of selected language. Only the commentary panel text changes.
- Not a Trading System: This is a decision-support tool. Always apply your own analysis and risk management.
=== EXAMPLE INTERPRETATION ===
When you see this commentary:
"Cold winds blowing! Trend down, be careful. 4 red candles in a row!
Selling pressure continues. Lower Low formed, decline deepening.
RSI at 22.6. For brave ones, opportunity! Stoch in extreme selling zone.
ICT ALERT! MSS down + Bear FVG! Smart money says SELL! Entry: 84704
RESULT: SELL (6/8, 75%)"
This tells you:
1. Trend is bearish with strong momentum (4 consecutive red candles)
2. RSI is oversold (22.6) - could bounce, but trend still down
3. ICT structure confirms bearish bias (MSS + FVG alignment)
4. 6 out of 8 criteria favor short positions
5. Consider short entries, but watch for oversold bounce
=== DISCLAIMER ===
This indicator is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or trading signals.
Past performance of any trading methodology is not indicative of future results. Trading financial instruments involves substantial risk of loss and is not suitable for all investors.
Always conduct your own research and consult with a qualified financial advisor before making any investment decisions. Use proper risk management and never trade with money you cannot afford to lose.
אינדיקטור Pine Script®
Legacy Algo | Lyro RSOverview
Legacy Algo is a comprehensive, overlay-based trading indicator designed to provide structured market context through trend identification, continuation signals, controlled reversal cues, and integrated trade management visuals. It combines directional bias, momentum awareness, volatility context, and multi-timeframe alignment into a single framework intended to reduce chart clutter while still delivering detailed decision support. The indicator is designed to operate across multiple markets and timeframes, adapting its behavior to changing market conditions rather than relying on static thresholds.
Originality
Legacy Algo differs from many traditional indicators by operating as a unified decision framework rather than a single-purpose tool. Instead of focusing only on entries or only on trend direction, it blends directional state, signal qualification, and trade lifecycle visualization into one system. Its originality comes from how multiple internal layers interact to produce a final market state, ensuring signals are context-aware rather than isolated. The indicator emphasizes signal quality and state transitions instead of repetitive triggers, which helps reduce noise in ranging or low-quality environments. This structured, state-driven design is what separates it from common trend or momentum indicators.
Purpose
The primary purpose of Legacy Algo is to help traders identify when the market is favoring bullish or bearish participation, when continuation is more likely, and when conditions are shifting toward exhaustion or potential reversal. It was created to support discretionary traders who want clarity rather than constant signals. The indicator can be used on lower timeframes for active trading as well as higher timeframes for swing or position analysis. It is particularly suited for trending and semi-trending conditions, but it includes adaptive elements that help manage risk and awareness during consolidation. Traders can use it as a primary directional tool or as confirmation alongside their own strategies.
How to use
Legacy Algo functions primarily as a trend-following and continuation-based indicator, with optional reversal awareness. Traders typically focus on the main directional signals to align with the prevailing market bias, using continuation signals to manage entries and scale decisions. Reversal signals are not meant to replace trend signals but to highlight areas where momentum may be weakening. The indicator is designed to be timeframe-agnostic, though higher timeframes generally provide more stable directional context while lower timeframes offer more frequent interaction. It can be used for both long and short analysis, depending on market structure and trader preference.
Features
Sensitivity setting controls how responsive the indicator is to market changes. Lower values make it react faster to price movement, while higher values smooth behavior and reduce signal frequency. This allows traders to tune the indicator to their trading style and the asset’s volatility profile.
Stop loss multiplier influences how protective levels adapt to price movement. It affects how much space the indicator allows before considering a move invalid, helping traders align visual risk guidance with their tolerance.
Entry filter toggle enables or disables internal signal qualification. When enabled, only signals that meet predefined quality conditions are displayed, reducing low-probability setups during unfavorable conditions.
Take profit levels feature displays structured price objectives relative to the active signal. These levels help traders visualize potential exit zones and manage trades systematically without manually calculating targets.
Level decimals input controls how price levels are displayed, allowing accurate formatting across assets such as stocks, forex, or crypto.
Take profit signals provide visual feedback when price interacts with predefined objective zones. These signals help traders track trade progression rather than only focusing on entries.
Confirmation signals add optional visual confirmation aligned with the current directional bias. They are designed to support confidence in continuation rather than generate independent entries.
Extreme bands feature highlights statistically stretched price areas. These zones help traders identify overextended conditions and manage expectations around continuation versus pullback.
Smart moving average acts as a dynamic reference for trend structure. Its visual behavior adapts to market direction and can be used as support or resistance context.
Trailing stop loss feature provides an adaptive exit reference that follows price movement. It is designed to assist with protecting gains during sustained moves.
Smart trail feature offers a smoother, volatility-aware trailing reference that adjusts as market conditions change, helping traders stay aligned with trend structure.
Reversal signals highlight potential exhaustion areas when momentum and participation begin to diverge. These signals are informational and best used with broader context rather than as standalone trade triggers.
Color palette and custom color options allow full visual customization without affecting indicator behavior, ensuring clarity across different chart backgrounds.
Dashboard table provides an at-a-glance summary of current market state, including directional bias, volatility context, session awareness, and multi-timeframe alignment. This feature is designed to reduce the need for switching charts or indicators.
Why Basic Indicators?
The Legacy Algo, combines couple of basic indicators like Supertrend, RSI, etc.. Legacy Algo also uses, our other invite only scripts like LinReg Wave with a unique function built on top for take-profit signals. The main reason we use these indicators in our Legacy Algo is because, we do not want our Algo to suffer from overfitting. That is a very big problem with the algorithms that are currently out there, they either repaint or work on a specific timeframe & ticker.
Methodology
Legacy Algo operates on a structured, multi-layer framework that evaluates market state before presenting actionable information. Rather than reacting to single conditions, it builds context through a combination of directional assessment, quality filtering, and state management.
Core framework principles include:
Directional state detection to establish bullish, bearish, or neutral bias
Signal qualification to reduce low-quality or conflicting conditions
Volatility and momentum awareness to adapt behavior to market environment
State transition logic to avoid repetitive or redundant signals
Integrated trade context to visualize risk, progression, and objectives
This approach works because it prioritizes context and consistency over raw signal frequency.
Conclusion
Legacy Algo is a structured trading indicator designed to provide clarity through trend alignment, continuation awareness, and disciplined trade visualization. It is built to support traders who value context-driven decisions rather than isolated signals. By combining adaptive behavior, visual risk guidance, and multi-timeframe awareness, it offers a complete analytical environment while remaining flexible enough to fit different trading styles and markets.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
אינדיקטור Pine Script®
AI Smart Money Profile v4.6
# 🕉️ AI Smart Money Profile v4.6
**by Shiv Shakti Algo Systems**
AI Smart Money Profile v4.6 is a **professional all-in-one trading indicator** designed to combine **Smart Money Concepts (SMC)**, **Market Profile**, **ICT concepts**, and **AI-based trend confirmation** into a single, powerful system.
This indicator is built for traders who want **structure-based trading**, **high-confluence setups**, and **clear visual guidance** without chart clutter.
---
## 🔥 Key Features
### 📊 Market Profile
* Daily / Weekly / Monthly Market Profile
* **POC (Point of Control)**, **VAH (Value Area High)**, **VAL (Value Area Low)**
* Historical & Live Value Areas
* Session bias visualization
### 🎯 Smart Money Concepts (SMC)
* **BOS (Break of Structure)**
* **ChoCH (Change of Character)**
* Liquidity Sweeps (Buy-side & Sell-side)
* Equal Highs & Equal Lows detection
### 📦 Volume Order Blocks
* Volume-based Bullish & Bearish Order Blocks
* Wick / Close mitigation options
* Automatic removal of mitigated blocks
### ⚡ Fair Value Gaps (FVG)
* Bullish & Bearish FVG detection
* Auto-removal after fill or expiry
* Adjustable minimum FVG size
### 🎓 ICT Concepts
* **OTE (Optimal Trade Entry) Zones**
* Structure-aligned premium & discount logic
### 🤖 Smart Trend AI (NEW in v4.6)
* Fusion of **UT Bot + Supertrend**
* Signals only when **both indicators agree**
* Confirmed BUY / SELL labels (non-repainting)
* Full candle coloring (body + wick)
### 📈 EMA Trend System
* EMA 20 / 50 / 200
* Golden Cross & Death Cross signals
* EMA trend direction shown in dashboard
### 💧 Liquidity Zones
* Buy-Side Liquidity (BSL)
* Sell-Side Liquidity (SSL)
* Auto-detection and sweep tracking
### 📊 RSI Momentum
* Positive & Negative momentum labels
* Trend-aligned RSI filtering
### 🕯️ Candlestick Patterns
* Marubozu (Bullish / Bearish)
* Engulfing patterns
* ATR-based label positioning
### 🎯 6-Point Confluence Signal Engine
Signals are generated using:
1. Market Profile position
2. Market Structure (SMC)
3. Order Block presence
4. Fair Value Gap
5. OTE Zone
6. Liquidity Sweep
Only **high-probability, multi-confirmation setups** are highlighted.
### 📊 Smart Dashboard
* Market Structure bias
* Trend direction
* Confluence scores
* OB, FVG, OTE, Liquidity & AI trend status
* Clean and professional UI
---
## 🧠 HOW TO USE (STEP-BY-STEP)
### 1️⃣ Determine Market Bias (Top-Down)
* Check **Market Structure (SMC)**:
* Bullish = Higher Highs & Higher Lows
* Bearish = Lower Highs & Lower Lows
* Use **EMA 20 / 50 / 200** alignment:
* EMA20 > EMA50 > EMA200 → Bullish bias
* EMA20 < EMA50 < EMA200 → Bearish bias
* Confirm bias using **Smart Trend AI** (Green = Bullish, Red = Bearish)
---
### 2️⃣ Identify High-Probability Zones
Look for price interaction with:
* **Value Area (VAH / VAL / POC)**
* **Volume Order Blocks**
* **Fair Value Gaps (FVG)**
* **OTE Zones**
* **Liquidity Levels (BSL / SSL)**
👉 Best trades happen when **multiple zones overlap**.
---
### 3️⃣ Wait for Liquidity & Structure Confirmation
* Price sweeps **liquidity** (BSL or SSL)
* Market prints **BOS or ChoCH**
* Confirms direction with bullish or bearish candle
This avoids early or emotional entries.
---
### 4️⃣ Confirm with AI & Momentum
* **Smart Trend AI** must agree with trade direction
* **RSI Momentum**:
* Positive = bullish strength
* Negative = bearish strength
* Avoid trades when AI shows “MIX” or RSI is neutral
---
### 5️⃣ Enter Trade
* Use **BUY / SELL labels** only when:
* Confluence score ≥ minimum setting
* Candle closes with structure confirmation
* Entry can be taken:
* At candle close, or
* On pullback into OB / FVG
---
### 6️⃣ Risk Management (Very Important)
* Always use **Stop Loss**:
* Below swing low (BUY)
* Above swing high (SELL)
* Risk only **1–2% per trade**
* Targets:
* Previous high/low
* Liquidity levels
* Opposite Value Area
---
## ⚙️ Recommended Settings
* Timeframes: **5m, 15m, 30m, 1H**
* Works best on:
* Indices
* Forex
* Crypto
* Enable **ATR filter** for volatile markets
---
## ⚠️ DISCLAIMER (IMPORTANT)
⚠️ **DISCLAIMER:**
This indicator is provided for **educational and informational purposes only**.
It does **NOT** constitute financial advice, investment advice, or trading recommendations.
Trading in financial markets involves **substantial risk**, and you may lose part or all of your capital.
Past performance is **not indicative of future results**.
The creator of this indicator is **not responsible for any losses** resulting from the use of this tool.
Always:
* Apply proper risk management
* Test strategies on demo or paper trading
* Seek professional financial advice if required
**You are solely responsible for your trading decisions.**
---
## 🙏 JAI SHIV SHAKTI 🙏
**Trade Smart. Trade Disciplined.**
אינדיקטור Pine Script®
Mean Absolute Error | Lyro RSOverview
This indicator is a closed-source, invite-only analytical framework built around Mean Absolute Error as a way to measure market dispersion, pressure, and structural imbalance. Instead of treating price movement purely as direction or momentum, it evaluates how far price deviates from its evolving reference state and converts that deviation into actionable contextual signals. The indicator is modular by design, allowing traders to analyze continuation, strength, and valuation through multiple coordinated modes without switching tools.
Originality
The originality of this indicator comes from how Mean Absolute Error is used as a core market metric rather than a secondary statistical output. MAE is not treated as a passive volatility measure; it becomes an active signal driver that adapts to trend persistence, internal strength, and exhaustion. By combining MAE-weighted price behavior, directional counting logic, and stochastic normalization, the script creates a multi-perspective model that differs fundamentally from traditional volatility bands, oscillators, or momentum indicators.
Modes
The indicator operates through three distinct modes, each producing signals using a different interpretation of MAE-based behavior:
Cloud mode
Signals are generated when price expands beyond adaptive MAE-derived envelopes, highlighting directional continuation and structural break conditions.
For Loop mode
Signals are generated by evaluating directional dominance over a configurable historical window, focusing on sustained pressure rather than single-bar events.
StochTrend mode
Signals are generated through a normalized trend oscillator built from MAE-weighted price, emphasizing trend alignment, valuation zones, and divergence behavior.
Methodology
The script is built around the concept that meaningful market information is found in how price deviates from its own adaptive baseline, not simply in price direction alone. To achieve this, the indicator constructs internal reference structures and evaluates price behavior relative to them across multiple layers.
The core framework can be understood through the following conceptual components:
An adaptive benchmark that represents the evolving reference state of price using selectable smoothing models.
A Mean Absolute Error engine that measures average deviation from the benchmark and scales dynamically with market conditions.
A directional persistence model that evaluates how consistently price favors one side of its historical range over time.
A normalization layer that converts MAE-weighted behavior into bounded trend and valuation signals.
A state-based visualization system that reflects regime changes, strength shifts, and imbalance conditions rather than isolated signals.
Traders interact with the indicator by selecting a mode that aligns with their objective. Cloud mode is typically used to frame continuation and expansion phases, For Loop mode emphasizes internal strength and dominance, and StochTrend mode focuses on trend alignment, valuation extremes, and divergence context. The indicator is intended to be read as a state model, where color, position, and transitions matter more than any single plotted value.
Why this works
This methodology works because it evaluates price action relative to its own adaptive error structure, allowing the indicator to remain context-aware across changing volatility and regime conditions.
Summary
This protected, invite-only indicator provides a structured and original approach to market analysis by transforming Mean Absolute Error into a multi-functional analytical engine. Through its modular modes, traders can assess continuation, internal strength, trend alignment, valuation extremes, and divergence within one coherent framework. The script emphasizes contextual interpretation and regime awareness while intentionally abstracting its internal mechanics.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
אינדיקטור Pine Script®
LinReg Wave | Lyro RSOverview
This indicator is a analytical tool designed to translate momentum, trend pressure, and market balance into a structured visual framework. It operates as a non-price oscillator combined with optional price overlays, allowing traders to evaluate trend direction, continuation strength, and valuation extremes within a single system. The indicator is built to adapt across market conditions by offering multiple operational modes, each focusing on a different market behavior while sharing a unified internal state model.
Originality
The originality of this indicator lies in how it blends regression-based momentum behavior with adaptive volatility envelopes and state-driven visualization. Instead of relying on a single traditional oscillator or trend filter, it constructs a dynamic internal wave that reacts to both directional persistence and expansion or contraction in market activity. The script does not simply label trends or overbought/oversold zones; it continuously re-contextualizes price behavior relative to its own evolving statistical environment. This makes it distinct from common momentum oscillators, static band tools, or single-purpose trend indicators.
Modes
The indicator operates through distinct modes, each designed for a specific analytical purpose:
Cloud mode
Signals are generated when price interacts with adaptive upper and lower regions derived from internal trend and volatility states, emphasizing directional continuation and structural shifts.
HA Trend mode
Signals are derived from directional consistency and candle behavior of the internal wave representation, focusing on trend stability rather than breakouts.
Valuation mode
Signals are produced when the internal wave reaches statistically stretched regions, highlighting potential exhaustion, imbalance, or mean-reversion zones.
Methodology
At its core, the script constructs an internal wave that represents normalized directional pressure rather than raw price movement. This wave is then evaluated through multiple adaptive layers to extract trend, strength, and valuation information without exposing the underlying calculations directly.
The framework can be understood through the following conceptual components:
A composite momentum structure that blends directional persistence with rate-of-change behavior to form a normalized internal wave.
A regression-based trend assessment that evaluates both direction and slope stability rather than simple crossover logic.
Adaptive deviation zones that expand and contract with changing market conditions, used to contextualize extremes instead of fixed thresholds.
A dynamic mid-reference that acts as a balance point for determining bullish versus bearish dominance.
A volatility-aware overlay mechanism that maps internal states back onto price for visual confirmation and execution context.
Traders use the indicator by selecting a mode aligned with their objective, such as trend participation, continuation management, or valuation-based decision-making. The visuals, color states, and optional labels are designed to reflect internal state changes rather than individual signals in isolation, encouraging contextual interpretation instead of reactive trading.
The methodology works because it evaluates price behavior relative to its own evolving statistical structure, rather than comparing price to static or externally fixed levels.
Summary
The LinReg Wave provides a multi-layered view of market behavior by combining normalized momentum, adaptive trend assessment, and volatility-aware context into a unified system. Through its distinct modes, traders can analyze continuation, trend health, and valuation extremes without switching tools. The script is designed to guide interpretation through internal state alignment rather than exposing raw calculations, making it suitable for discretionary and systematic workflows alike.
⚠️Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
אינדיקטור Pine Script®
Eagle Algo Pro [Trader Hridoy]Eagle Algo Pro is a multi-modular trading system developed by Trader Hridoy for the Eagle Algo community. This script provides a disciplined, rule-based approach to market analysis by filtering noise and focusing on high-probability setups using a custom-built decision engine.
█ CONCEPT & UNDERLYING LOGIC
This strategy is built on the principle of "Confluence." It combines several analytical modules to ensure a trade is only suggested when multiple factors align:
1. Trend Breakout Module (Strategy A): Uses a dynamic High/Low price channel (Donchian Logic). A signal is primed only when price confirms momentum by closing outside this channel.
2. Dynamic S/R Zones (Strategy B): Automatically identifies Support & Resistance boxes based on historical pivot clusters. It calculates "Zone Strength" based on how many times price has reacted at those levels.
3. Linear Regression Channel (Strategy D): Acts as a mean-reversion filter to identify overbought/oversold conditions, ensuring you don't enter a trade at an unfavorable price.
█ UNIQUE FEATURES (Originality)
The primary value of this script lies in its custom execution logic:
* Signal Gatekeeper (State Machine): This is a proprietary logic that prevents signal overlapping. Once a signal is active, the algorithm pauses and waits for the trade's outcome before scanning for new setups. This mimics professional trade management.
* Custom Performance Dashboard: A real-time table displays win/loss metrics and total signals based on historical bars, helping traders understand the current market environment.
* Multi-Factor Filtering: Includes optional filters for ADX (Trend Strength), SuperTrend (Direction), and Volume confirmation.
█ HOW TO USE
* BUY/PUT Labels: These appear when the Trend, S/R zones, and Accuracy Filters all agree.
* Wick Rejection: The system is optimized to detect price rejection from key S/R zones for higher probability entries.
* Algo Modes: You can choose between "Wait for Result" (Conservative) or "Continuous" (Aggressive) generation in the settings.
█ DISCLAIMER
This script is for educational and analytical purposes only . Trading involves significant risk. The "Win Rate" shown on the dashboard is a theoretical calculation based on historical data. Past performance is not indicative of future results. The developer, Trader Hridoy , is not responsible for any financial losses.
אינדיקטור Pine Script®
STWP Market Compass🧭 STWP Market Compass — Educational Framework
Author: simpletradewithpatience (STWP)
Markets: Equities, Indices, and Futures
Best Timeframes: 5-min to 1-hour for active observation | Higher timeframes for broader structure
Built With: Pine Script v5
A structured market-awareness dashboard designed to help traders understand the current market environment — not predict it.
Built under the Simple Trade With Patience (STWP) methodology, this framework encourages disciplined observation, contextual thinking, and clarity in reading price behavior.
📌 Overview
The STWP Market Compass is an educational tool that organizes multiple layers of market information into a clean, real-time dashboard.
Instead of generating buy/sell signals, it helps traders answer the most important question first:
👉 “What kind of market am I operating in right now?”
By combining trend structure, price location, volatility conditions, and momentum phase, the compass promotes thoughtful participation rather than reactive decision-making.
The goal is simple:
Better environment reading → Better trading behavior.
📊 What the Dashboard Helps You Understand
✅ Market Phase
Identifies whether conditions favor directional movement or rotational behavior.
✅ Trend Structure
Uses EMA alignment to highlight whether buyers or sellers are exerting greater control.
✅ Price Position
Shows where price is trading relative to recent value zones — helping traders avoid chasing extended moves.
✅ Nearby Reference Level
Automatically points to the closest prior-day high or low, encouraging respect for important reaction areas.
✅ Volatility Condition
Distinguishes between expanding and contracting ranges — a key factor in expectation setting.
✅ Structure Reference
Displays recent swing levels to improve awareness of potential support or resistance zones.
✅ Condition Alert
Highlights when price extends in a weak-trend environment — a scenario often associated with false moves or exhaustion.
💡 Educational Purpose
This framework is ideal for traders who want to:
• Develop patience before entering trades
• Improve timing by understanding market context
• Avoid overtrading in low-quality conditions
• Recognize when markets are stable vs. uncertain
• Build structured decision habits
It is intentionally designed to support independent thinking, not indicator dependency.
📆 Best Practices for Use
• Apply to liquid instruments for smoother behavior.
• Use intraday charts to study how environments shift during the session.
• Combine with price structure, demand–supply zones, or volume analysis for deeper insight.
• Treat the dashboard as context, not a trigger.
Strong traders read the environment first — and act second.
⚙️ Design Philosophy
The STWP Market Compass was built on a simple belief:
👉 Clarity reduces emotional decisions.
Every label is intentionally straightforward so that both developing and experienced traders can interpret conditions without unnecessary complexity.
This is not a shortcut tool.
It is a decision-support framework.
Observe first. Act with discipline.
⚠️ Important Notes
✅ Created purely for educational and informational purposes
✅ No automated signals or strategy logic included
✅ Does not provide entries, exits, or investment recommendations
✅ Encourages structured market study
Avoid relying on any single indicator in isolation.
⚠️ Disclaimer
This script is provided solely for educational purposes and does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Trading involves substantial risk and may not be suitable for all investors. Always consult a SEBI-registered financial advisor or licensed professional before making trading decisions.
The author is not responsible for financial losses resulting from the use or interpretation of this tool.
By using this script, you acknowledge and accept these terms.
🤝 Final Note
Built with patience and structure by simpletradewithpatience (STWP) — for traders who believe that understanding the market is more important than chasing it.
Read the environment. Stay disciplined. Let patience guide execution.
📈 Trade Less. Understand More.
אינדיקטור Pine Script®
[SpaghettiForex] RO - Regime Oscillator RO — Regime Oscillator is a market-state tool that classifies price action into three regimes: TREND, RANGE, or CHOP.
It outputs a Regime Index (0–100) designed to measure how “directional and structured” the current environment is. RO is not an overbought/oversold oscillator and it does not generate trade entries. Its purpose is to provide context and help you decide how selective you should be with your execution rules.
What it shows:
- Regime Index (0–100): a smoothed score representing the current market state.
- Regime label: TREND / RANGE / CHOP (with optional background shading).
- Bias label: UP / DOWN / FLAT, derived from moving-average slope.
- Optional component breakdown in the table (ADX, BB width, ATR relative, slope).
________________________________________
Screenshots (examples):
Screenshot 1 — TREND regime (directional phase)
Example where RO stays in TREND during a sustained directional move.
The Regime Index remains high and the table shows a clear bias (UP or DOWN).
RO identifies a sustained directional phase as TREND (high index + clear bias).
Screenshot 2 — RANGE regime (mean-reverting phase)
Example where RO identifies a RANGE environment (lower index + low trend strength).
Useful to visualise when price is mostly oscillating rather than expanding directionally.
RO identifies a range environment with a low index and a flat bias.
Screenshot 3 — CHOP regime (mixed / noisy conditions)
Example where RO stays in CHOP when the market lacks clean structure.
This helps avoid forcing “trend logic” into random or unstable price action.
RO stays in CHOP when price action lacks clean structure and transitions are frequent.
________________________________________
How it works (high level):
RO combines four normalised components (0–1) into a weighted score, then smooths it:
1. ADX (trend strength)
2. Bollinger Band Width (compression/expansion)
3. Relative ATR (current volatility vs baseline)
4. MA Slope (magnitude) (directionality)
The resulting Regime Index is mapped into regimes using thresholds. An optional Early Trend mode reduces lag by allowing TREND to trigger earlier when ADX is rising and directional bias is present.
How to use it (context, not signals):
- Use RO to filter conditions: apply different rules in TREND vs RANGE vs CHOP.
- Combine RO with your own structure/levels and risk management.
- If you want a faster response, use Early Trend (enabled by default). If you prefer fewer regime flips, increase smoothing or raise thresholds.
Alerts:
RO includes alerts (bar-close confirmed) for:
- Regime changed
- Trend regime start
- Range regime start
- Chop regime start
Important note:
RO is a context tool. It does not provide financial advice or performance guarantees. Market regimes can change quickly and false transitions are possible—always use proper risk management.
אינדיקטור Pine Script®
Cyberpunk Neural Flux■ Core Concept: The "Cyberpunk Neural Flux" is engineered based on the "Trend Template" logic favored by institutional growth investors and hedge funds.
It monitors the interaction between the 150 MA (The Institutional Baseline) and the 15 MA (High-Frequency Momentum). Large players often use the 150 MA as the "line in the sand" for a healthy trend. This indicator visualizes when short-term momentum aligns with this critical institutional baseline, while the "Noise Gate" filters out choppy price action that traps retail traders.
■ Visual Decoding (Candle Colors)
1. ⚪ WHITE (Reversal BUY)
・Context: Downtrend (Magenta Background).
・Trigger: Price breaks ABOVE the Upper Gate (Fast MA + ATR).
・Meaning: Strong momentum has overcome the downtrend resistance.
2. 🟡 GOLD (Reversal SELL)
・Context: Uptrend (Cyan Background).
・Trigger: Price breaks BELOW the Lower Gate (Fast MA - ATR).
・Meaning: Support has collapsed with strong momentum.
3. 🌑 GRAY (Neutral / Noise)
・Trigger: Price is trapped inside the "Noise Gate" (between Upper & Lower bands).
・Meaning: DO NOT TRADE. The market is indecisive or consolidating.
4. 🟦 CYAN / 🟪 MAGENTA (Trend Follow)
・Meaning: Trend is healthy and continuing outside the noise gate.
■ コンセプト: 「Cyberpunk Neural Flux」は、ヘッジファンドや機関投資家が重視する「トレンド・テンプレート」のロジックに基づいて設計されています。
彼らが「中期トレンドの生命線」として防衛する 150MA（ベースライン）と、短期アルゴリズムが反応する 15MA（モメンタム）の相互作用を監視します。大口投資家が意識するトレンド方向と、短期的な勢いが合致した瞬間のみを可視化し、「ノイズゲート」機能によって個人投資家が狩られやすいレンジ相場を徹底的に排除します。
■ 色の読み方（ローソク足）
1. ⚪ WHITE / 白（反転 - 買い）
・状況: 背景がマゼンタ（下落中）。
・条件: 価格が「15MA ＋ ノイズ幅」を上抜いた。
・意味: 単なるMAタッチではなく、明確な反発エネルギーが確認された状態。
2. 🟡 GOLD / 金（反転 - 売り）
・状況: 背景がシアン（上昇中）。
・条件: 価格が「15MA － ノイズ幅」を下抜いた。
・意味: 単なる押し目ではなく、サポートラインが明確に決壊した状態。
3. 🌑 GRAY / グレー（ノイズ - 待機）
・条件: 価格がゲートの内側（15MA付近）で推移している。
・意味: 「手出し無用」。方向感がなく、エネルギーを溜めている状態です。
4. 🟦 シアン / 🟪 マゼンタ（順張り）
・意味: トレンドが健全に継続中。
אינדיקטור Pine Script®
FRVP Master [Pro UI] V2.1.2Release Notes: FRVP Master V2.1.2
1. What is Volume Profile?
Volume Profile is an advanced charting study that displays trading activity over a specific time period at specific price levels. Unlike standard volume (which shows when trading occurred), Volume Profile shows where the most significant buying and selling took place, revealing the "fair value" of an asset.
2. The Power of Fixed Range (FRVP)
While Visible Range profiles change as you scroll, the Fixed Range Volume Profile stays anchored to a specific lookback period. This provides a consistent "map" of liquidity, allowing you to identify high-volume support and low-volume "gaps" that price is likely to trade through quickly.
3. Trend-Following vs. Volume-Based Trading
* Trend-Following: Focuses on momentum and direction (the "What").
* Volume-Based: Focuses on intent and liquidity (the "Why").
By understanding volume, you aren't just following a line; you are seeing if the "big money" is actually supporting the move.
4. Advanced Signal Intelligence
This version includes a diagnostic engine that identifies specific market behaviors:
* POC (Buy/Sell): Price interacting with the Point of Control (highest volume level).
* VA TRAP (Buy/Sell): Occurs when price breaks the Value Area on low volume—signaling a "fakeout" where traders are likely trapped.
* REJECTION (Buy/Sell): High-volume spikes at range extremes where price is aggressively pushed back.
* EDGE EXH (Buy/Sell): Exhaustion at the absolute highs/lows where buying/selling pressure simply runs out.
5. 40% vs. 70% Value Area
* 70% (Standard): Represents the "Value Area" based on one standard deviation. It covers most market activity.
* 40% (Aggressive): Used in this indicator to highlight the High-Conviction Zone . A 40% VA identifies the "heart" of the trend, making breakouts and traps much easier to spot.
6. Recommended Timeframe Mapping
To maintain institutional relevance, use these lookback settings:
* M15 & M30: Use a 1-Day fixed range (Intraday Scalping).
* H2: Use a 1-Week fixed range (Swing-Intraday).
* H4: Use a 1-Month fixed range (Medium-term Trend).
* D1: Use a 2-Month fixed range (Macro Structure).
---
The Ultimate Synergy: FRVP + Supertrend Pro v8.5
The most powerful way to trade this indicator is by combining it with the Supertrend Pro v8.5 —creating a bridge between volume-based and trend-following strategies.
* The Filter: Use the Supertrend to define your directional bias (Trend Following).
* The Execution: Use the FRVP to find your entry "sweet spot" (Volume Based).
Why it works: The Supertrend keeps you on the right side of the market, while the FRVP ensures you aren't buying into a "Trap" or "Exhaustion" zone. You only take Supertrend signals that align with high-volume support or breakouts from the Value Area.
אינדיקטור Pine Script®
[Saga Trading] Moving Average ProThis open-source indicator provides trend and market structure context using multiple moving averages.
It allows traders to visualize several moving averages simultaneously, with configurable calculation methods (EMA, SMA, or RMA), in order to better assess trend alignment, momentum, and structural bias.
Common references such as the 50-period and 200-period averages are included because they are widely observed by market participants. Crossovers between these averages (often referred to as golden or death crosses) are displayed as structural information only and should not be interpreted as trading signals.
The purpose of this tool is to help traders understand market structure and trend context, not to generate entries or exits.
This indicator is intended for educational and analytical purposes and should be used alongside price action and broader market analysis.
אינדיקטור Pine Script®
Step Generalized Moving Average [BackQuant]Step Generalized Moving Average
Overview
Step Generalized Moving Average (StepGMA) is a trend-structure moving average designed to solve two common problems with classic MAs:
They overreact to noise in chop, causing constant micro-flips.
They lag too much when you smooth them enough to stop that noise.
StepGMA tackles this by combining two layers:
A Generalized Moving Average (GMA) that increases responsiveness without simply shortening length.
A Step Filter that converts the MA into discrete “steps” sized by ATR, suppressing insignificant movement and only updating when the move is meaningful.
The output is a trend line that behaves more like market structure: it holds its level through noise, then “reprices” in chunks when volatility-adjusted movement is large enough.
What the indicator is trying to represent
Instead of showing every tiny MA wiggle, StepGMA tries to represent the idea that:
Most price movement is noise relative to volatility.
Trend only matters when it advances by a meaningful amount.
A good trend line should stay stable until the market forces it to move.
That makes this indicator useful as:
A regime filter (trend vs chop).
A trend-following bias line.
A structure-like dynamic S/R reference.
A signal generator with fewer low-quality flips.
Component 1: Moving Average engine (selectable)
The base smoothing is not fixed. You can choose between multiple MA types:
SMA, EMA, WMA, VWMA: classic smoothing families.
DEMA, TEMA: reduced-lag EMA variants.
T3: smooth yet responsive, good for trend.
HMA: very low lag, can be twitchy without filtering.
ALMA: center-weighted smoothing, often “cleaner” visually.
KAMA: adaptive smoothing based on efficiency ratio, good in mixed regimes.
LSMA: regression-based, tends to track trend direction well.
McGinley: dynamic smoothing designed to reduce lag during fast moves.
This matters because the StepGMA is not “one MA.” It is a framework that lets you pick the underlying smoothing behavior, then applies the generalization and step logic on top.
Component 2: Generalized Moving Average (GMA)
Where the idea comes from
Generalized MA here is essentially a form of two-stage smoothing compensation . A common trick in signal processing and technical analysis is:
Apply a smoother once (MA1).
Apply it again (MA2).
Use MA2 as a “lag reference,” then combine MA1 and MA2 to reduce lag while keeping smoothness.
This is related in spirit to reduced-lag filters (like DEMA/TEMA) and “zero-lag” style constructions that subtract part of the lag component. You are not magically removing lag, you are biasing the output toward the first-pass MA while subtracting some of the second-pass smoothing that represents delayed response.
How this script does it
It computes:
ma1 = MA(src, len)
ma2 = MA(ma1, len)
Then combines them using a volume factor (vf):
generalized = ma1 * (1 + vf) - ma2 * vf
Interpretation:
ma2 is a “more delayed” version of ma1.
Subtracting vf * ma2 and adding (1+vf) * ma1 pushes the output toward responsiveness.
vf controls how aggressive that push is.
Volume Factor (vf) is really an aggressiveness knob
The script clamps vf between 0.01 and 1.0 to keep it stable. Conceptually:
Low vf: behaves closer to a normal MA1, smoother, more lag.
High vf: more compensation, faster response, more risk of overshoot or noise sensitivity (which is then handled by the step filter).
So the GMA stage tries to give you a cleaner, faster trend estimate without just shrinking the MA period.
Component 3: Step Filter (the key behavior)
What a step filter is
A step filter turns a continuous signal (here, the generalized MA) into a discrete “staircase” signal. Instead of updating every bar, it updates only when the input has moved far enough to justify a new step.
This is conceptually similar to:
A quantizer in signal processing (rounding changes to discrete increments).
A volatility threshold filter (ignore changes smaller than X).
Market structure logic where levels matter more than micro movement.
How it works in this script
The filter maintains a persistent value: stepped .
Each bar:
diff = src - stepped
If |diff| < stepSize, do nothing (hold the level).
If |diff| >= stepSize, move stepped by a number of step increments.
The step increment size is:
stepSize = (stepMult / 100) * ATR(atrPeriod)
This is critical:
In higher volatility, ATR is larger, so steps are larger, fewer updates, more stability.
In lower volatility, ATR is smaller, so steps are smaller, more updates, more sensitivity.
So the step behavior automatically adapts to volatility.
Multiple-step catching behavior
If price jumps far beyond one step, the script does not move only one step. It moves by:
floor(|diff| / stepSize) * stepSize
So it “catches up” in discrete blocks, preserving the stepped character without lagging massively after large moves.
Direction and regime
Direction is determined by the stepped line, not the raw MA:
direction = +1 if steppedMA is rising
direction = -1 if steppedMA is falling
otherwise direction stays the same
Signals only trigger on direction state changes:
Long when direction flips to +1
Short when direction flips to -1
This matters because it prevents repeated signals while the trend remains intact. You only get a signal when the market has moved enough (in ATR terms) to justify a structural step in the opposite direction.
Secondary line and gradient fill
The script also plots a secondary “slow MA” (length 25, same MA type). This is not the core logic, it is a visual context layer:
StepGMA is the structure line (discrete, regime-driven).
Slow MA is a smoother reference for the underlying drift.
The gradient fill highlights separation and dominance.
When StepGMA sits above the slow MA, the fill reinforces bullish bias. When below, it reinforces bearish bias. It is basically a “trend pressure” visual, not a separate signal.
How to interpret it
1) StepGMA as trend structure
Flat steps mean price is not making enough volatility-adjusted progress to move structure.
Up-steps mean the market has advanced enough to reprice the trend line upward.
Down-steps mean deterioration significant enough to reprice structure downward.
2) Direction is a regime, not a tick-by-tick call
Because direction is derived from step changes, it is naturally a regime filter:
Fewer flips in chop.
Clearer regime transitions.
Signals tend to occur later than ultra-fast tools, but with better confirmation quality.
3) Step size controls noise rejection
StepMult is the main “anti-chop” control:
Higher stepMult = bigger ATR steps = fewer updates, fewer signals, more confirmation, slower to react.
Lower stepMult = smaller steps = more updates, more signals, more sensitivity, more chop risk.
4) Generalization controls responsiveness of the underlying trend estimate
vf controls how “fast” the MA tries to be before stepping:
Higher vf makes the MA respond faster to new price information.
Lower vf makes the MA smoother and more conservative.
The step filter then decides whether that change is meaningful enough to matter.
Practical use cases
Trend filter for entries
Only take longs when direction is bullish.
Only take shorts when direction is bearish.
Avoid trades when StepGMA is flat for long periods, market is not repricing meaningfully.
Dynamic support and resistance
Because the line holds levels, it often behaves like structure:
In uptrends it can act as a rising support reference.
In downtrends it can act as falling resistance.
Signal quality layer
The step-based flip signals tend to be higher quality than basic MA crossovers because they require:
A meaningful volatility-adjusted move.
A confirmed direction change in the stepped trend structure.
Trade management
Use StepGMA as a trailing invalidation reference.
Use direction flips as “hard” regime exits.
Use separation vs slow MA as a “pressure” gauge for scaling decisions.
Tuning guidelines
MA Type
Pick based on the character you want:
T3, ALMA, KAMA are usually good defaults for clean trend representation.
HMA/LSMA are faster but may need larger stepMult to avoid twitch.
SMA is slow and stable but can be too laggy unless vf is increased.
MA Period
Sets the base smoothing horizon. Longer periods give “macro trend,” shorter periods give “tactical trend.”
Volume Factor (vf)
Sets responsiveness compensation:
0.05–0.25 is usually sensible.
Higher than that can get aggressive, step filter will save you, but your steps may fire more often.
ATR Period and StepMult
These define your structure sensitivity:
ATR Period controls how stable the volatility estimate is.
StepMult controls how large a move must be to change structure.
If you want fewer flips, increase StepMult or ATR Period. If you want quicker reaction, lower StepMult or ATR Period.
What this indicator is and is not
It is:
A trend structure MA that ignores sub-threshold noise.
A regime tool that uses volatility-adjusted repricing logic.
A configurable framework that works across assets and timeframes.
It is not:
A predictive reversal tool.
A scalping signal machine.
A replacement for risk management.
Summary
Step Generalized Moving Average combines a lag-compensated moving average (generalization via MA1/MA2 blending) with a volatility-scaled step filter (ATR-based quantization). The result is a stable, structure-like trend line that updates only when price movement is meaningful relative to volatility, producing cleaner regimes, fewer chop flips, and clearer trend bias than conventional moving averages.
אינדיקטור Pine Script®
Adaptive ATR Trend FollowerDESCRIPTION:
A practical educational tool for learning volatility-based trend following. This indicator demonstrates how to use ATR-adjusted trailing stops to adapt to changing market conditions. It shows traders how to dynamically adjust stop distances based on market volatility rather than using fixed price levels.
WHAT MAKES IT UNIQUE:
• Three preset trading modes (Fast/Balanced/Smooth) optimized for different market environments
• ATR-based dynamic stops that automatically widen during high volatility and tighten during calm periods
• Clear visual trend zones with adjustable transparency for better chart readability
• Educational focus on risk management concepts and adaptive position sizing
• Signal markers that highlight exact trend change points for precise analysis
HOW IT WORKS:
1. Calculates Average True Range (ATR) to measure current market volatility
2. Creates dynamic trailing stops using: Current Price ± (ATR × Multiplier)
3. Automatically switches trend direction when price crosses the trailing stop level
4. Provides continuous visual feedback through colored zones, signal markers, and bar coloring
5. Updates stop levels in real-time as market conditions change
EDUCATIONAL VALUE:
This indicator serves as a learning tool for understanding:
- How to use ATR for dynamic position and risk management
- The importance of adapting trading systems to current volatility conditions
- Trend-following principles with immediate visual feedback
- Risk management techniques through adaptive stop placement
- The relationship between volatility and optimal stop distances
SETTINGS EXPLAINED:
• ATR Period (14): The lookback period for volatility measurement. Higher values give smoother readings.
• ATR Multiplier (3.0): Determines stop distance from price. Higher = wider stops, Lower = tighter stops.
• Trading Style: Fast (tight stops for active trading), Balanced (default settings), Smooth (wide stops for volatile markets)
• Price Smoothing (1): EMA period applied to price. Reduces noise for cleaner trend detection.
• Trend Fill Transparency (80%): Controls visibility of the colored trend zone between price and stop line.
RISK WARNING & DISCLAIMER:
This is an educational trend-following tool designed for learning purposes. Important considerations:
• May produce whipsaw signals during sideways/consolidating markets
• Works best in clearly trending market environments
• Always combine with other analysis techniques for confirmation
• Practice proper risk management - never risk more than you can afford to lose
• Past performance does not guarantee future results
• This is NOT financial advice. Use at your own risk and discretion.
USE CASES:
- Learning about volatility-based trading systems and concepts
- Identifying potential trend direction changes with visual confirmation
- Setting adaptive stop-loss levels that adjust to market conditions
- Educational tool for understanding how ATR affects position management
- Visual study of how volatility impacts trend-following strategies
COMPATIBILITY:
• Works on all markets: Forex, Stocks, Crypto, Commodities, Indices
• Effective on multiple timeframes (5-minute to daily charts recommended)
• Compatible with other indicators for multi-factor analysis
INSTALLATION & USAGE:
1. Add indicator to your chart
2. Start with "Balanced" mode for most markets
3. Adjust ATR multiplier based on your risk tolerance
4. Use signals as potential entry/exit points (with confirmation)
5. Observe how stops adapt to changing volatility conditions
EDUCATIONAL TIP:
Try switching between Fast/Balanced/Smooth modes to see how different settings perform in various market conditions. Notice how wider stops (Smooth mode) can prevent premature exits during volatile trends, while tighter stops (Fast mode) may work better in calm, steady trends.
אינדיקטור Pine Script®
White Core Trend [wjdtks255]
White Core Trend is a trend-following indicator designed to strip away market noise and visualize the "Core Trend" of price action. It focuses on the essential relationship between price and a dynamic baseline to provide clear trading decisions.
White Core Line: Built on a responsive HMA (Hull Moving Average) logic, this line acts as the definitive trend filter. It reacts swiftly to price changes while maintaining a smooth trajectory to reduce false signals.
Intuitive Visual Signals: The indicator identifies trend exhaustion and reversal points by plotting triangle labels (▲/▼). These signals help traders maintain discipline and avoid emotional decision-making.
Minimalist Design: Optimized for clarity, the indicator eliminates unnecessary clutter like background colors or complex data overlays, keeping the focus strictly on the trend and entry levels.
As a core technical tool, this indicator is used to identify the market's direction and establish precise entry/exit benchmarks.
1. Entry Strategy
Long Entry: Enter when the price crosses above the White Core Line and a green triangle appears.
Short Entry: Enter when the price crosses below the White Core Line and a red triangle appears.
Note: Ensure the candle body closes decisively across the line to confirm the signal.
2. Position Management
Trend Following: Stay in the trade as long as the price remains on the correct side of the White Core Line.
Reference Point: Use the horizontal white "Entry" line as a visual anchor for your current position.
3. Exit & Stop Loss
Stop Loss: Exit immediately if the price crosses back over the White Core Line against your position.
Take Profit: Secure profits when the price reaches your target or when the trend starts to flatten out (sideways movement) near the core line.
אינדיקטור Pine Script®
STRAT PANEL HTF (D/W/M/Q/Y) and ATRUse on Daily / Weekly / Monthly charts.
Higher-timeframe STRAT continuity for: D / W / M / Q / Y (Extended session toggle in settings).
Columns: STRAT (last 3 closed), LAST (last closed type), CUR (current type: Live/Stable), DIR, REV.
Includes ATR context: D / W / M / 12M + optional ATR-based estimated moves.
אינדיקטור Pine Script®
Intraday Zae FX Correlated + Top/Bottom Pairs + TF Range
🔍 Complete Currency Strength Suite | Pair Comparison + Top/Bottom + TF Range
This powerful multi-tool indicator gives you a complete view of forex market dynamics by combining 3 high-impact features.
🟩 1. Pair Comparison Panel
Compare your active pair against a correlated pair. It shows the status as LEADING, LAGGING, or EQUAL. It highlights the dominant currency and gives real-time signals to trade with momentum confirmation.
🟢 Green means strength/leading, 🔴 Red means weak/lagging.
Buy if the strong currency is leading the pair. Avoid trading if the pair is lagging.
🟦 2. Top/Bottom 4 Pairs & Currencies Panel
Gives an instant overview of the strongest and weakest pairs. The top 4 pairs show the highest bullish momentum, and the bottom 4 show strong bearish momentum. A currency rank header confirms individual strength.
Trade strong vs weak currencies (example: if CAD is stronger than AUD, short AUDCAD). Avoid strong vs strong or weak vs weak situations.
🟨 3. Timeframe Range Analysis
Tracks current candle performance against historical average. Shows current vs average range, performance percentage, and expected expansion left (Exp+).
Use this for timing breakouts, gauging volatility, and setting stops.
Red performance indicates compression and a breakout opportunity. Positive Exp+ means there's room left for the move.
⚙️ Customization Options
You can choose between auto or manual mode, define lookback periods, select your broker (OANDA, FX_IDC, etc.), and customize smoothing and price sources. Panel size, position, and the optional timeframe box on the chart are all adjustable.
🎯 Trading Strategies Included
Strength Confirmation
Correlation Divergence
Range Breakout
Momentum Continuation
✅ Best Used When
Currency is in the top 4
The pair is showing as leading
Exp+ is greater than 0, indicating room to move
Performance percentage is below +50%, meaning it’s not overextended
Use all three panels together to identify high-quality trade setups with confidence. This tool is ideal for momentum, breakout, and trend-following strategies.
אינדיקטור Pine Script®
High Breakout PRO Scored VCP StrategyHigh Breakout PRO V2.1 – Scored VCP Breakout Strategy
High Breakout PRO V2.1 is a professional breakout trading strategy designed to maximize breakout quality while minimizing bull traps, inspired by Mark Minervini’s Volatility Contraction Pattern (VCP) and enhanced with a flexible scoring system.
Instead of relying on rigid True/False filters, this strategy evaluates the quality of price consolidation before a breakout, allowing traders to balance trade frequency vs. win probability.
🔑 Core Philosophy
Most breakout failures happen because price breaks resistance without proper contraction:
- Volatility is still loose
- Supply has not fully dried up
- Breakouts occur into overhead selling pressure
This strategy solves that problem by quantifying VCP quality before allowing a breakout entry.
⚙️ Key Features
1️⃣ Scored VCP System (0–100 Quality Score)
The strategy evaluates VCP quality using three core dimensions:
- Volatility Contraction (Max 40 points): Measures progressive tightening of price ranges across multiple blocks.
- Volume Dynamics (Max 30 points): Confirms supply dry-up via declining volume from wide → mid → tight phases.
- Price Structure (Max 30 points): Ensures price consolidates near highs without structural damage.
A higher score means a cleaner, tighter, higher-probability base.
2️⃣ Dual VCP Modes
- Classic Mode: Simple contraction + volume dry-up logic → Best for strong trending markets and higher trade frequency
- Advanced (Scored) Mode: Full Minervini-style VCP scoring engine → Ideal for precision swing trading and capital protection
3️⃣ Adjustable Quality Thresholds
You control how selective the strategy is:
- Score ≥ 40 → Aggressive (Higher frequency)
- Score ≥ 60 → Balanced (Recommended default)
- Score ≥ 80 → Precision (True Minervini-style setups)
4️⃣ Breakout Confirmation
A trade is triggered only when:
- Price breaks Donchian resistance
- VCP setup was valid before the breakout
- Volume expands on the breakout bar
- Price is above EMA 200 (trend filter)
This ensures breakouts occur from tight, well-prepared bases.
5️⃣ Risk Management
- Hybrid exit using ATR trailing stop + Donchian low
- Designed to protect profits while letting strong trends run
📊 Best Use Cases
- Stocks, indices, gold, crypto on H1, H4, D1
- Swing trading & position trading
- Traders who prefer quality over quantity
⚠️ Notes
- Higher quality scores = fewer trades, but higher expectancy
- If signals feel too rare, reduce the minimum score or switch to Classic Mode
- Avoid using very low scores (<40), as this reintroduces noisy breakouts
🧠 Summary
High Breakout PRO V3.1 is not just a breakout strategy —
it is a breakout qualification system.
Designed for traders who want to:
- Avoid bull traps
- Trade fewer but better setups
- Align with professional VCP principles
Contact for work: ngohuyhoanghcm@gmail.com
אסטרטגיית Pine Script®
Trend Targets Oscillator- Webhooks v1.8.3Trend Targets Oscillator - Webhooks v1.8.3
Overview
This technical indicator combines a momentum-based oscillator with statistical analysis of historical price behavior to generate trading signals and calculate position management levels. The indicator analyzes past price patterns to establish data-driven thresholds for entries, exits, and stop placement.
Key Components:
• Weighted momentum oscillator with trend-following characteristics
• Statistical percentile analysis for take profit level calculation
• Dynamic stop loss placement based on price structure and volatility
• Adaptive ranges (ATR-based) for dynamic support/resistance visualization
• Real-time performance tracking and historical signal analysis
Critical Disclaimer: This indicator performs technical analysis on historical data. Past patterns, statistics, and performance do not predict, indicate, or guarantee future results. All trading carries substantial risk of loss. This tool does not provide investment advice or trading recommendations.
Important Note: Calculations use standard OHLC data; results may differ on non-standard chart types (Heikin Ashi, Renko, Kagi, Point & Figure, Range).
Technical Methodology
1. Momentum Oscillator
Core Approach: The oscillator employs a weighted Relative Strength Index (RSI) methodology combined with Quantitative Qualitative Estimation (QQE) trailing stop concepts. This creates a momentum indicator that adapts to trending conditions while maintaining sensitivity to reversals.
How It Functions:
• Calculates directional price momentum using weighted price changes
• Applies directional bias to amplify movements aligned with the prevailing trend direction
• Uses a dynamic trailing stop mechanism adapted from QQE methodology to identify potential trend reversals
• Applies exponential moving average smoothing to reduce market noise
• Operates within configurable overbought/oversold threshold zones (default: 70/30)
Signal Generation Process:
• BUY signals occur when the oscillator line crosses above its trailing stop level
• SELL signals occur when the oscillator line crosses below its trailing stop level
• All signals confirm only at bar close, eliminating mid-bar fluctuations and repainting
Technical Parameters (All Configurable):
• RSI Length (default: 100 bars) - Controls the period for momentum calculation
• Stop Multiplier (default: 2.5) - Adjusts the sensitivity of the trailing stop mechanism
• Smoothing Length (default: 6 bars) - Reduces noise through exponential smoothing
• Directional Weight (default: 6.4) - Amplifies trend-aligned price movements
• Overbought/Oversold Levels (default: 70/30) - Defines momentum extreme zones
What This Component Does: This component identifies potential trend changes through momentum analysis, generates entry signals based on the interaction between an oscillator and a trailing stop, filters those signals using overbought and oversold zones, and confirms all signals at bar close to help prevent repainting.
What This Component Does Not Do: This component does not predict future price direction or guarantee signal accuracy or profitability, it cannot eliminate false signals entirely, and it will not perform equally well across all market conditions.
2. Statistical Take Profit Calculation
Methodology: Rather than using fixed risk-reward ratios, this indicator analyzes the Maximum Favorable Excursion (MFE) from historical signals to establish statistically-derived take profit levels using percentile (quantile) analysis.
Maximum Favorable Excursion (MFE) Concept: MFE measures how far price moved in the favorable direction after each historical signal before either reversing or hitting the stop loss. This creates a dataset of historical "best case" price movements for each direction.
Statistical Process:
• Maintains separate historical datasets for LONG signals and SHORT signals (markets behave differently in uptrends vs downtrends)
• Tracks MFE data from the last N signals (configurable, default: 20 signals per direction)
• Calculates percentiles (quantiles) from this historical MFE dataset
• Uses these percentiles to determine take profit distance from entry
Three Statistical Thresholds:
TP1:
• Default: 66th percentile of historical MFE data
• Meaning: Based on historical analysis, approximately 66% of similar past signals moved at least this far in the favorable direction
• Note: This is a statistical observation of past behavior, not a prediction that 66% of future signals will reach this level
TP2:
• Default: 50th percentile (median) of historical MFE data
• Meaning: Represents the middle point of historical favorable price movements
• Note: Past median values do not indicate future median performance
TP3:
• Default: 30th percentile of historical MFE data
• Meaning: Based on historical analysis, approximately 30% of similar past signals moved at least this far
Important Technical Notes:
• Percentile thresholds are fully configurable in settings (you can adjust 66/50/30 to any values)
• Requires minimum historical data (20+ signals per direction) for statistical relevance
• Falls back to configurable risk-reward ratio (default 1.5R) when insufficient historical data exists
• Recalculates dynamically as new signals complete and add to the historical dataset
• "R" represents Risk units (distance from entry to stop loss)
What This Component Does: This component analyzes historical price behavior patterns and calculates statistical percentiles from past favorable movements to establish take-profit levels based on observed historical data. It adapts to the specific instrument and timeframe being analyzed, and it separates its analysis for long versus short signals.
What This Component Does Not Do: This component does not predict where future price will reach or guarantee any specific hit rate or success percentage, and it cannot ensure profits on any individual trade. It also does not account for changing market conditions or regime shifts, and it does not replace the need for proper risk management and position sizing.
3. Dynamic Stop Loss Placement
Methodology: Stop loss calculation combines Donchian Channel logic with Average True Range (ATR) volatility adjustment to create stops that respect recent price structure while accounting for normal market fluctuations.
How It Functions:
Donchian Channel Component:
• Identifies the highest high and lowest low over a specified lookback period (default: 20 bars)
• For LONG signals: Uses the lowest low as the base for stop placement
• For SHORT signals: Uses the highest high as the base for stop placement
• This respects recent price structure and support/resistance levels
ATR Volatility Buffer:
• Calculates the Average True Range over 14 periods to measure current volatility
• Adds a configurable buffer (default: 1.0 × ATR) beyond the Donchian extreme
• For LONG signals: Stop = Donchian Low - (ATR × Buffer Multiplier)
• For SHORT signals: Stop = Donchian High + (ATR × Buffer Multiplier)
• This prevents premature stop-outs from normal price volatility
Technical Parameters (All Configurable):
• Donchian Length (default: 20 bars) - Period for identifying recent price extremes
• SL Buffer Multiplier (default: 1.0 × ATR) - Distance beyond Donchian extreme (0.0 to 5.0)
What This Component Does: This component places stops based on recent price structure using Donchian extremes, adjusts them to reflect current volatility via an ATR-based offset, and adapts dynamically as conditions change. It includes a configurable buffer to suit different trading styles and is designed to respect key technical support and resistance levels.
What This Component Does Not Do: This component does not guarantee that a stop loss will not be hit, nor can it prevent slippage, gaps, or other execution-related risks. It does not ensure a favorable risk-reward outcome on every trade, does not account for fundamental events or news releases, and it does not replace the need for proper position sizing and overall capital management.
4. Adaptive Ranges (ATR-Based)
Methodology: The indicator includes an optional overlay that displays adaptive support and resistance zones based on Average True Range (ATR) volatility measurements. These ranges adjust dynamically as price moves beyond volatility thresholds.
How It Functions:
• Calculates an adaptive moving average that shifts when price moves beyond ATR-based thresholds
• Displays five levels: Upper Resistance 2 (R2), Upper Resistance 1 (R1), Middle (AVG), Lower Support 1 (S1), Lower Support 2 (S2)
• Zones are created using ATR multiples above and below the adaptive average
• When price breaches the outer boundaries significantly, the entire range structure recalculates and repositions
Technical Parameters (All Configurable):
• Length (default: 50 bars) - Period for ATR calculation
• Factor (default: 6.0) - Multiplier for ATR to set zone width
• Source (default: close) - Price data used for calculations
• Show (default: ON) - Toggle visibility
Purpose and Use:
• Provides context for potential reversal or consolidation areas
• Can complement the statistical TP levels by showing additional resistance/support
• Helps visualize market volatility expansion and contraction
• Creates dynamic zones that adapt to changing volatility conditions
What This Component Does: This component displays volatility-adjusted support and resistance zones, adapt dynamically to price movement and changing volatility, providing visual context for potential reversal areas. The segments update when price moves beyond defined threshold boundaries.
What This Component Does Not Do: This component does not predict future support or resistance levels, does not guarantee that reversals will occur at zone boundaries, or replace traditional support and resistance analysis. It also does not account for fundamental catalysts or news-driven events that can override technical behavior.
Visual Components and Displays
Oscillator Panel (Lower Pane)
The oscillator displays in a separate pane below the price chart with the following elements:
• Main Oscillator Line (teal/green): Shows current momentum state
• Trailing Stop Line (purple): Dynamic support/resistance level that triggers signals
• Overbought/Oversold Zones: Horizontal threshold lines (default 70/30)
• Historical Signal Markers: BUY (green triangles up) and SELL (red triangles down) where signals occurred
Reading the Display:
- When oscillator crosses above trailing stop = BUY signal generated
- When oscillator crosses below trailing stop = SELL signal generated
- Oscillator in upper zone (>70) = momentum in overbought territory
- Oscillator in lower zone (<30) = momentum in oversold territory
On-Chart Overlays (Price Chart)
For each historical signal, the indicator displays visual overlays on the main price chart:
Entry Line (Yellow):
- Horizontal line showing the price level where the signal was generated
- Helps identify the actual entry point
Stop Loss Line (Red):
- Horizontal line showing the calculated stop loss level
- Based on Donchian + ATR methodology described above
Three Take Profit Zones (Green for LONG / Red for SHORT):
- TP1 Zone: Lightest shade - conservative percentile target
- TP2 Zone: Medium shade - moderate percentile target
- TP3 Zone: Darkest shade - aggressive percentile target
- Zones displayed as shaded rectangular areas extending forward from signal
Visual historical overlays: This provides visual feedback on historical signal performance and helps assess whether the statistical methodology is appropriate for the current instrument and timeframe.
These visual overlays allow you to see: These visual overlays allow you to see where historical signals occurred and at what price, where stops were placed according to the methodology, and where statistical take-profit levels were calculated. They also show which targets were reached versus not reached, how price behaved relative to the statistical projections, and the adaptive support/resistance context that frames overall market structure.
Statistics Table (Real-Time Analysis)
The indicator displays a comprehensive statistics table (typically in the upper-right corner) showing performance metrics for historical signals.
Table Header: "Historical stats (not predictive) under current settings"
Performance Metrics (Separate rows for BUY and SELL): For the Last N Signals (default: last 20 BUY and last 20 SELL separately):
Column Headers:
• Signal: Direction (BUY or SELL)
• Win: Count of signals where at least one take profit was reached before stop loss
• Loss: Count of signals where stop loss was hit before any take profit was reached
• TP1 Hit: Percentage of signals that reached the first take profit level
• Δ1%: Average percentage distance from entry to TP1, calculated only for signals that actually reached TP1
• TP2 Hit: Percentage of signals that reached the second take profit level
• Δ2%: Average percentage distance from entry to TP2, calculated only for signals that actually reached TP2
• TP3 Hit: Percentage of signals that reached the third take profit level
• Δ3%: Average percentage distance from entry to TP3, calculated only for signals that actually reached TP3
Understanding the Distance Metrics:
The "Dist%" columns show the average percentage gain (from entry price to TP level) for only those trades that successfully reached that specific TP level. This helps you understand the typical profit magnitude when that target is hit.
Footer Message (Historical Performance Evaluation): The table displays one of three messages based on historical loss percentage:
✅ "Historical performance threshold met. Based on past data under current settings. Not a recommendation."
- Displayed when both LONG and SHORT directions show less than 40% losses on past historical data on this specific instrument and timeframe
- indicates the loss-rate is below the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only).
🛑 "Historical performance below threshold. Based on past data under current settings. Not a recommendation."
- Displayed when both LONG and SHORT directions show more than 40% losses on past historical data on this specific instrument and timeframe
- indicates the loss-rate is above the configured threshold (40% losses) for both directions over the last N historical observations (descriptive only).
⚠️ "Historical performance: Mixed / higher risk. Based on past data under current settings. Not a recommendation."
- Displayed when one direction is <40% loss and one is >40% loss on past historical data on this specific instrument and timeframe
- indicates a mixed result: one direction is above and the other is below the threshold over the last N historical observations (descriptive only).
These statistics and messages are descriptive of past historical performance for the specific instrument and timeframe being analyzed, and they are provided purely as informational tools to help you understand how the indicator behaved historically. They are based solely on historical data analysis and can change over time as new signals complete and the underlying dataset updates.
These statistics and messages are not predictions of future performance, trading recommendations or advice, or guarantees of profitability. They do not indicate that past results will repeat, and they should not be interpreted as suggestions to enter trades or to avoid them.
The footer message helps you understand whether the current settings and statistical thresholds have shown historically favorable or unfavorable results on this particular market. However, past favorable statistics do not ensure future favorable results, and past unfavorable statistics do not ensure future unfavorable results.
Configuration Options
All parameters are fully adjustable in the indicator settings. Default values are provided as starting points and may require optimization for different instruments and timeframes.
Oscillator Parameters
• RSI Length (default: 100)
Controls the period used for momentum calculation. Higher values = smoother, slower momentum readings. Lower values = more responsive, potentially noisier readings.
• Stop Multiplier / QQE Factor (default: 2.5)
Controls sensitivity of the trailing stop mechanism. Higher values = wider trailing stop, fewer signals, more trend-following. Lower values = tighter trailing stop, more signals, more sensitive to reversals.
• Smoothing Length (default: 6)
EMA smoothing applied to reduce noise. Higher values = smoother oscillator line. Lower values = more responsive to price changes.
• Directional Weight (default: 6.4)
Amplification factor for trend-aligned movements. Higher values = stronger bias toward current trend direction. Lower values = more balanced, less trend-biased.
• Source (default: close)
Price data used for calculations (close, open, high, low, hl2, hlc3, ohlc4).
Threshold Parameters
• Overbought Level (default: 70)
Oscillator level considered overbought. Range: 0-100. Used for signal filtering and visual reference.
• Oversold Level (default: 30)
Oscillator level considered oversold. Range: 0-100. Used for signal filtering and visual reference.
Statistical Analysis Parameters (Historical Percentile Targets)
• Lookback N Trades (default: 20)
Number of historical signals to include in statistical analysis. Analyzed separately for LONG and SHORT. Higher values = more stable statistics, slower adaptation. Lower values = more adaptive, potentially less stable statistics. Minimum: 5 signals.
• TP1 Target Percentile (default: 66)
Percentile of historical MFE data used for first take profit. Range: 1-99. 66 means ~66% of historical signals reached at least this distance. Higher percentile = more conservative target (closer to entry). Lower percentile = more aggressive target (farther from entry).
• TP2 Target Percentile (default: 50)
Percentile of historical MFE data used for second take profit. 50 = median of historical favorable movements. Adjust based on desired risk-reward profile.
• TP3 Target Percentile (default: 30)
Percentile of historical MFE data used for third take profit. 30 means ~30% of historical signals reached at least this distance. More aggressive, historically reached less frequently.
• Fallback TP (default: 1.50 R)
Risk-reward ratio used when insufficient historical data exists. "R" = Risk units (distance from entry to stop loss). 1.50 R = take profit placed at 1.5× the distance to stop loss. Used until enough signals accumulate for statistical calculation.
Note on Percentile Configuration:
You can customize these percentiles to match your trading style:
- Conservative approach: Use higher percentiles (e.g., 80/60/40) for closer, more frequently reached targets
- Aggressive approach: Use lower percentiles (e.g., 50/30/15) for extended targets with lower historical hit rates
- Balanced approach: Default values (66/50/30) provide middle ground
Stop Loss Parameters
• Donchian Length (default: 20)
Lookback period for identifying recent price extremes. Higher values = stops based on longer-term structure. Lower values = stops based on shorter-term swings.
• SL Buffer (× ATR) (default: 1.00)
Multiplier for ATR-based volatility buffer. Range: 0.0-5.0. 1.0 = stop placed one ATR beyond Donchian extreme. Higher values = wider stops, less risk of premature stop-out. Lower values = tighter stops, higher risk of normal volatility hitting stop.
Adaptive Ranges (ATR-Based) Parameters
• Length (default: 50)
Period for ATR calculation used in adaptive range zones. Higher values = zones based on longer-term volatility. Lower values = zones more responsive to recent volatility changes.
• Factor (default: 6.0)
Multiplier applied to ATR for determining zone width. Higher values = wider zones, farther from average. Lower values = tighter zones, closer to average.
• Source (default: close)
Price data used for adaptive average calculation.
• Show (default: ON)
Toggle visibility of adaptive range overlays on chart. Turn OFF for cleaner chart if you only want oscillator signals.
Visual Display Parameters
• Show Historical B/S Markers (Pane) (default: ON): Displays BUY/SELL triangles in oscillator panel.
• Show B/S on Price Chart (default: ON): Displays BUY/SELL markers on main price chart.
• Show History TP/SL Overlays (default: ON): Displays entry lines, stop lines, and TP zones on price chart. Turn OFF for cleaner chart if you only want the oscillator signals.
• History Segment Length (Bars) (default: 20): How many bars forward the TP/SL overlays extend from signal. Range: 5-200 bars. Does not affect calculations, only visual display duration.
Initial Setup and Learning Period
1. Adding Indicator to Chart
The indicator can be applied to any instrument and timeframe. Default settings are provided as a starting point.
2. Data Collection Period
The statistical analysis requires historical signals to function. Typically 20+ bars provide initial data, while 50-100+ bars may produce more robust statistics. The table displays "Not enough data yet to evaluate" until sufficient signals exist.
3. Observing Initial Performance
Signals develop over time. The calculated TP levels appear relative to actual price movement. Historical statistics show which direction (LONG vs SHORT) has performed differently. The statistics table displays historical behavior patterns.
4. Statistical Data Accumulation
The indicator accumulates historical data over time. Some traders choose to observe performance in paper trading or demo environments before live use. Understanding the methodology involves reviewing how calculations work on historical data.
Webhook Integration and Alerts
The indicator includes alert functionality for integration with automated trading systems and notification services.
Alert Characteristics:
• Alerts trigger only when signals confirm at bar close (no mid-bar alerts)
• Respects the historical performance evaluation footer status
• Includes symbol, timeframe, and direction information in alert message
• Provides JSON-formatted data for easy parsing by automated systems
• Separate alert events for: Entry, TP1, TP2, TP3, Stop Loss, Early Close (Win/Loss)
Alert Events Available:
- Entry: When a new signal is generated
- TP1/TP2/TP3: When each take profit level is reached
- SL: When stop loss is hit
- Early Close Win: When position closes early in profit (without hitting TP or SL)
- Early Close Loss: When position closes early at a loss (without hitting TP or SL)
JSON Data Structure:
Each alert contains structured data including:
• Event type (Entry, TP1, TP2, TP3, SL, etc.)
• Direction (long/short)
• Symbol and timeframe
• Price levels (entry, stop, take profits)
• Timestamps (entry time, event time)
• Duration (milliseconds and minutes from entry to event)
Compatible With:
• Third-party webhook automation platforms and tools that support TradingView webhooks
• Custom trading bot implementations via webhook endpoints
• Notification systems that can receive TradingView alerts
• Any service supporting webhook integration through TradingView's alert system
The author and indicator provider assume no responsibility for losses incurred through automated trading, alert-based systems, webhook implementations, or any third-party integrations. Users are solely responsible for their trading decisions, automation setup, risk management, and system monitoring.
What This Indicator Is and Is Not
What This Indicator Is:
This indicator is a technical analysis tool that combines momentum oscillation with statistical analysis, using a signal-generation methodology built on weighted RSI and QQE concepts. It calculates take-profit levels through historical percentile analysis, places stop losses based on both price structure and volatility, and displays adaptive support/resistance zones derived from ATR. In addition, it tracks and presents historical signal performance and serves as an educational resource for understanding statistical approaches to trading. For accurate results, it requires standard OHLC chart data.
What This Indicator Is Not:
This indicator is not a prediction system or “fortune-telling” tool, nor is it a guaranteed profit generator or a “holy grail” trading system. It does not provide investment advice or financial recommendations, and it is not a substitute for proper education and solid risk management. It may not be suitable for every trader, market, chart type, or market condition, and it is not a replacement for human judgment and decision-making. It also cannot eliminate the possibility of losses, drawdowns, or periods of underperformance, and it is not designed for or tested on non-standard chart types—so results may differ when used outside standard charts.
Who This Indicator Is Designed For
May Be Suitable For:
This indicator may be suitable for traders who prefer systematic, rules-based approaches and want to incorporate statistical analysis into their trading, especially if they’re looking for a methodology that adapts to historical price behavior. It’s best for users who are comfortable with technical analysis concepts, can manage risk and position sizing properly, and are willing to invest time in testing and optimization. It also fits those who understand that past results don’t guarantee future performance and who use standard OHLC charts for their analysis.
May Not Be Suitable For:
This indicator may not be suitable for absolute beginners with no trading experience, or for traders looking for guaranteed profits and “get rich quick” systems. It’s also not ideal for those who are uncomfortable with technical analysis or statistical concepts, who cannot tolerate losses or drawdown periods, or who are unwilling to spend time learning, testing, and refining the methodology. Additionally, it may not fit users seeking a fully automated “set and forget” solution, traders who don’t follow proper risk management principles, or those who primarily work with non-standard chart types.
Important Limitations and Considerations
Technical Limitations:
This indicator has several technical limitations: it requires sufficient historical data for its statistical calculations to work properly, and its performance can vary significantly across different instruments and timeframes. It may perform poorly in ranging, choppy, or low-liquidity markets, and the statistical percentiles it uses are derived from past data that may not reflect future behavior. Depending on market conditions, signals can cluster or become sparse, and no technical system performs equally well across all regimes. Results may also differ on non-standard chart types (such as Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts), and while the adaptive ranges adjust to volatility, they cannot predict regime changes.
Market Limitations:
This indicator has market-related limitations because it cannot account for fundamental events, news, or black swan scenarios, and it does not incorporate market sentiment, positioning, or order flow. Historical statistical patterns can break down during regime shifts, and as market structure evolves, past behaviors may not persist. External drivers such as geopolitical developments or policy changes are also outside its scope, and risks from gaps as well as weekend or overnight moves are not explicitly factored into its calculations.
Execution Limitations:
This indicator has execution limitations because it does not account for slippage, spread, or execution delays, and it cannot guarantee fills at the calculated levels. It also does not explicitly factor in gap risk or overnight holding risk, and it assumes there is sufficient liquidity to execute orders as intended. In addition, it cannot account for exchange outages or other technical failures, and webhook or alert delivery can fail due to connectivity problems or third-party system issues.
User Limitations:
This indicator also has user-related limitations: it requires the discipline to follow signals consistently rather than overriding them emotionally, along with proper position sizing and risk management. Users need the psychological resilience to handle losing streaks and the time to monitor performance and evaluate results on an ongoing basis, especially if using alerts or automation. It also assumes sufficient capital and emotional reserves to withstand drawdowns, as well as a clear understanding of the constraints of standard OHLC charts.
Risk Warnings and Disclaimers
Please Read This Section Carefully
General Trading Risks: Trading and investing involve substantial risk of loss, and you can lose some or even all of your invested capital. Past performance does not indicate, predict, or guarantee future results, and no trading system, indicator, or methodology can eliminate risk. Markets are inherently unpredictable and uncertain, so outcomes can vary widely even when using a consistent approach.
Specific Risks Related to This Indicator: Its historical statistics and percentile calculations are inherently backward-looking, not forward-looking, and past favorable results do not ensure future favorable results. Market conditions can change, historical patterns may stop working or fail to repeat, and statistical analysis cannot predict future price movements. As a result, the indicator can generate losing signals and experience unprofitable periods, with no guarantee of any particular win rate, profit level, or overall performance. Metrics such as “Dist%” reflect historical averages and should not be interpreted as future profit guarantees, while adaptive ranges reflect historical volatility behavior not future support or resistance. Results may also differ significantly when used on non-standard chart types.
What This Indicator Does Not Guarantee: This indicator does not guarantee profitable trades or positive returns, any specific win percentage, success rate, or profit distance, or protection from losses and drawdowns. It also cannot guarantee that historical statistics will persist into the future, that it will be suitable for your specific financial situation, or that it will match your risk tolerance or trading goals. In addition, it does not guarantee reliable operation when used with automated trading systems, nor does it guarantee consistent results across different chart types.
Regulatory Disclaimer:
This indicator is a technical analysis tool for educational and informational purposes only. It does not constitute: Investment advice or recommendations, Financial planning or wealth management services, A solicitation to buy or sell any securities or instruments, A guarantee or warranty of any kind regarding performance, Professional advice tailored to your specific situation
Legal Liability:
By using this indicator, users acknowledge and agree that they are solely responsible for all trading decisions and outcomes, and that the author and indicator provider assume no liability for any losses or damages. Users confirm that they have read and understood all stated risks and disclaimers, agree not to hold the author or provider responsible for any results, and recognize that trading can result in the total loss of capital. They also understand the limitations related to chart types and the indicator’s calculation methods, which may affect how results are produced and interpreted.
Geographic Restrictions:
This indicator may not be suitable or legal in all jurisdictions. It is your responsibility to ensure compliance with local laws and regulations regarding trading and financial markets.
Final Statement
This indicator represents a systematic approach to technical analysis that combines momentum oscillation with statistical analysis of historical price behavior and adaptive volatility-based ranges. It is designed to provide a structured framework for visualizing historical market conditions and statistical behavior under the selected settings.
Access and Support Information
This is an invite-only indicator. For access requests, detailed documentation, setup guides, and ongoing support, please refer to the author's signature field displayed below this publication.
Thank you for taking the time to read this complete description. Understanding the methodology, limitations, and proper usage is essential for anyone considering using this indicator.
Trade safely and responsibly.
אינדיקטור Pine Script®
Institutional Edge Algo v8.5🎯 OVERVIEW
Institutional Edge Algo is a systematic trading indicator that identifies potential trade setups using pivot-based level detection, volatility analysis, and multi-factor confluence scoring. Designed for futures, forex, and stock traders who want a structured, rules-based approach.
⚠️ Important: This indicator is for educational purposes only. It does not guarantee profits or predict market direction. All statistics shown are based on historical data within the visible chart range. Past performance does not indicate future results.
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✨ KEY FEATURES
📊 Intelligent Level Management
Unlike basic pivot indicators that clutter your chart, this system:
• Dynamically spaces levels based on volatility
• Automatically removes stale and overcrowded levels
• Tracks level strength - weakened levels shown visually
• One signal per level - no repeated alerts from the same zone
📈 Two Entry Modes
• Breakout: Immediate entry on level break
• Retest: Entry on pullback for better risk:reward
🔢 Edge Score (ES) - Multi-Factor Confluence
A proprietary 0-100 score that combines multiple factors including candle quality, volume analysis, trend strength, and price extension. Higher scores indicate more factors aligning. This is a confluence metric, NOT a win rate prediction.
🏷️ Signal Labels
• ⚡ Lightning Bolt - VWAP context confirmed
• BQ - Breakout Quality (candle strength)
• ES - Edge Score (overall confluence)
• Grey labels - Signal blocked (cooldown active)
🔥 Volatility Squeeze Detection
Identifies compression periods using Bollinger Bands and Keltner Channels, with visual alerts when volatility expands.
📉 Market Regime Filter
Classifies market conditions as TREND, RANGE, BREAKOUT, or MIXED - with optional signal filtering.
🏦 Order Blocks
Detects institutional supply/demand zones with configurable sensitivity and direction filters.
💰 Trade Management
• 5 Stop Loss modes - Structure, Level, ATR, Points, Ticks
• Two-contract exit - Take profit + trailing stop
• Smart trailing - Locks in gains progressively
📋 Comprehensive Dashboard
• Rolling trade statistics
• Current session performance
• Active position details with $ values
• Market context at a glance
🔔 Signal Cooldown
Prevents overtrading by blocking duplicate signals when a trade is already active.
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📈 SUPPORTED INSTRUMENTS
Futures (with automatic $ calculations):
NQ/MNQ, ES/MES, RTY/M2K, YM/MYM, GC/MGC, CL/MCL, and more
Also works on: Stocks, Forex, Crypto
Recommended Timeframes: 3min, 5min, 15min, 1H
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⚙️ HIGHLY CONFIGURABLE
28 settings groups allow you to customize:
• Entry and exit behavior
• Signal filtering and quality thresholds
• Visual display preferences
• Session and time filters
• All colors and styles
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⚠️ IMPORTANT DISCLOSURES
Repainting:
• "Confirmed Signals Only" = NO repainting
• "Show Developing" = Labels may update until bar closes
Statistics: Based on visible chart data only. Past performance does NOT indicate future results.
Risk Warning: Trading involves substantial risk. This indicator does not guarantee profits. Always use proper risk management.
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🔔 ALERTS
Signal, TP, SL, and Order Block touch alerts included.
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Questions? Leave a comment below!
אינדיקטור Pine Script®
High Breakout PRO - Huy Hoang Trader
# High Breakout PRO - Huy Hoang Trader - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
---
*Developed by Antigravity. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
אסטרטגיית Pine Script®
LC crypto Hybrid Ribbon v5 A+ Auto by Symbol Signals and AlertsA hybrid trend + retest trading indicator designed for crypto scalping and intraday trading.
This script combines a multi-EMA ribbon for trend direction, higher-timeframe confirmation, and a 15-minute break & retest model to highlight high-probability A+ entries.
Core Features
Color-changing EMA ribbon to visualize bullish vs bearish trend
Auto-tuned retest tolerance by symbol (BTC, ETH, SOL, BNB, LINK, XRP)
Optional 4H higher-timeframe trend filter
15-minute break above/below anchor EMA to arm setups
Anchor EMA retest + rejection for precise entries
Clear BUY / SELL labels and optional arrows
Ribbon area fill to visually confirm trend strength
Best Use
Works well on lower timeframes (1m–15m) for entries while using HTF confirmation for directional bias.
Disclaimer
For educational purposes only. Always manage risk and confirm with price action.
אינדיקטור Pine Script®
High Breakout PRO Huy Hoang Trader
High Breakout PRO - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
---
*Developed by Huy Hoang Trader. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
אסטרטגיית Pine Script®
