Turtle/Donchian Screener — Recency & CloseAtBuyTurtle strategy with buy and sellsignals. Donchian channels. For Pine screener.
Pita dan Kanal
Turtle/Donchian Screener — Recency & CloseAtBuyTurtle strategy, donchian channels. For Pine screener with for example buysignals and sellsignals.
Svopex Session Highlighter# Session Highlighter
## Description
**Session Highlighter** is a powerful Pine Script indicator designed to visually identify and mark specific trading hours on your chart. This tool helps traders focus on their preferred trading sessions by highlighting the background during active hours and marking the session start with customizable visual markers.
## Key Features
- **📊 Session Background Highlighting**: Automatically shades the chart background during your defined trading hours (default: 7:00 - 23:00)
- **🎯 Smart Session Start Marker**: Places a marker on the last candle before session start, intelligently adapting to your timeframe:
- 1 Hour chart: Marker at 6:00
- 15 Minute chart: Marker at 6:45
- 5 Minute chart: Marker at 6:55
- 1 Minute chart: Marker at 6:59
- **🌍 Timezone Support**: Choose from multiple timezones (Europe/Prague, Europe/London, America/New_York, UTC)
- **🎨 5 Marker Styles**: Customize your session start indicator:
- Triangle
- Circle
- Diamond
- Label with time text
- Vertical line
- **⚙️ Fully Customizable**: Adjust start/end hours, timezone, and marker style through simple settings
## Settings
- **Start Hour**: Set your session start time (0-23)
- **End Hour**: Set your session end time (0-23)
- **Timezone**: Select your trading timezone
- **Marker Style**: Choose your preferred visual marker
## Use Cases
- Identify London/New York trading sessions
- Mark Asian session hours
- Highlight your personal trading windows
- Avoid trading during off-hours
- Perfect for day traders and scalpers
## Installation
1. Copy the Pine Script code
2. Open TradingView Pine Editor
3. Paste the code and click "Add to Chart"
4. Configure settings to match your trading schedule
Corpus Bollinger BandsThis is a copy of the build-in indicator, but as addition, it shows the distance between upper and lower band in percentage.
Volume+RSI IndicatorVolume+RSI Indicator - It’s a hybrid momentum indicator that combines Relative Strength Index (RSI) and Volume data. While RSI measures the strength and speed of price movement, volume measures the strength of participation. When combined, they can filter out false signals and confirm strong market moves.
Mohit-Fixed 4H & 15M Basesbase concept script
taught by Team ATM
A Trading Monk
-Nitin Makhija
-Akhilesh Pandey
TI65**TI65 (Trend Intensity 65)** is a technical indicator designed to measure the strength and momentum of a trend over two distinct periods. It compares a short-term 7-period simple moving average (SMA) with a long-term 65-period SMA, producing a ratio that helps traders identify shifts in market momentum and trend direction.
- When the **TI65 value is greater than 1**, it indicates that the short-term moving average is above the long-term average, suggesting increasing momentum and a potentially bullish trend.
- When the **TI65 value drops below 1**, it signals weakening short-term momentum relative to the longer-term trend, often interpreted as a bearish or consolidating phase.
This indicator can be applied to both price and volume data, making it useful for identifying periods of strong volume surges or price movements. By observing changes in the TI65 ratio, traders can pinpoint low-risk entry points for trend-following strategies and quickly recognize periods of market transition.
TI65 is commonly used by momentum and breakout traders for screening strong candidates and confirming the sustainability of ongoing trends. It is simple, effective, and easily implemented via custom scripts on popular platforms like TradingView.
Volume TI65**TI65 (Trend Intensity 65)** is a technical indicator designed to measure the strength and momentum of a trend over two distinct periods. It compares a short-term 7-period simple moving average (SMA) with a long-term 65-period SMA, producing a ratio that helps traders identify shifts in market momentum and trend direction.
- When the **TI65 value is greater than 1**, it indicates that the short-term moving average is above the long-term average, suggesting increasing momentum and a potentially bullish trend.
- When the **TI65 value drops below 1**, it signals weakening short-term momentum relative to the longer-term trend, often interpreted as a bearish or consolidating phase.
This indicator can be applied to both price and volume data, making it useful for identifying periods of strong volume surges or price movements. By observing changes in the TI65 ratio, traders can pinpoint low-risk entry points for trend-following strategies and quickly recognize periods of market transition.
TI65 is commonly used by momentum and breakout traders for screening strong candidates and confirming the sustainability of ongoing trends. It is simple, effective, and easily implemented via custom scripts on popular platforms like TradingView.
Orb SignalLightThe ORB Signal Light is the free version of our flagship ORB Signal Pro indicator, designed for traders who use the Opening Range Breakout (ORB) as their core framework.
It automatically plots your session range, highlights breakout zones, and gives you the same clean visual foundation used by thousands of traders inside the Midas Touch community — without the advanced automation.
Key Features:
• Automatic ORB detection (5m / 15m adaptive)
• Clean breakout visualization and ORB bands
• Lightweight design for faster performance
Limitations:
The Crazy Horse Strategy, Dynamic Money Management, Setup Grading, and Automatic Stop Loss Logic are locked in this version and only available in ORB Signal Pro.
📍 Built for ORB Addicts. Powered by The Midas Touch Trading Group.
Bollinger Band Width Oscillator %🧠 Bollinger Band Width Oscillator %
The Bollinger Band Width Oscillator % is a volatility-focused tool that measures the relative width of Bollinger Bands and transforms it into an oscillator format. It helps traders visualize volatility expansions and contractions directly in an indicator pane — a powerful way to anticipate breakout or consolidation phases.
🔍 How It Works
Band Width %: Calculates the percentage distance between the upper and lower Bollinger Bands relative to the basis (SMA).
Smoothed Output: The raw bandwidth is smoothed using a moving average for cleaner, more stable signals.
Dynamic Volatility Zones: The script automatically computes average, high, and low volatility thresholds — each dynamically adapting to market conditions.
User-Adjustable Multipliers: Control how sensitive your high/low zones are with the High Zone Multiplier and Low Zone Multiplier inputs.
⚙️ Key Features
📊 Oscillator Format – Easy-to-read visualization of volatility compression and expansion.
🔥 High/Low Volatility Detection – Automatic labeling and color-coded alerts for shifts in volatility.
🧩 Dynamic Thresholds – Zones adjust automatically with market activity for adaptive sensitivity.
🧠 Hysteresis Logic – Prevents rapid signal flipping, improving clarity and reliability.
🎨 Custom Visuals – Adjustable smoothing and background highlights for quick interpretation.
📈 Trading Applications
Identify Breakouts: Rising bandwidth often precedes price breakouts.
Spot Consolidations: Low bandwidth indicates tightening volatility and potential range trades.
Volatility Regime Analysis: Understand market rhythm and adapt strategies accordingly.
⚡ Inputs
Parameter Description
Band Length Period for Bollinger Band calculation
Band Multiplier Standard deviation multiplier for the bands
Source Price source (default: close)
Smoothing Period for smoothing the oscillator line
High Zone Multiplier Adjusts the high-volatility threshold
Low Zone Multiplier Adjusts the low-volatility threshold
Highlight Volatility Zones Optional background color overlay
🧊 Usage Tip
Combine this indicator with momentum tools or price action analysis to confirm trade setups. Watch for transitions from low to high volatility zones — these often signal the beginning of major market moves.
Fishnet Squeeze [Osprey]🟠 Overview
The SMA Fishnet with Squeeze indicator combines a multi-timeframe moving average ribbon system with an advanced squeeze detection algorithm to help traders identify both trend direction and potential breakout opportunities.
🟠 How to Use This Indicator
- Squeeze Breakout Trading
When the indicator signals a squeeze (yellow diamond marker and highlighted background), prepare for a potential breakout in either direction
- Support and Resistance Identification
The twelve SMA levels act as dynamic support and resistance zones. Price often bounces or pauses at these levels, especially at the convergence of multiple SMAs.
Squeeze Settings
- **Enable/Disable**: Toggle squeeze detection on or off
- **Lookback Period**: Adjust the historical comparison window (20-200 bars)
- **Percentile Threshold**: Set sensitivity for squeeze detection (1-20%)
- **Minimum Duration**: Define how many bars must confirm a squeeze (1-10)
- **Visual Customization**: Modify squeeze marker colors to suit your preferences
‼️ Test different values for Lookback Period ! Lower lookback period = more frequent squeeze marks. I suggest using 31 or 100.
🟠 The Fishnet Structure
The indicator employs twelve SMAs ranging from ultra-short-term (3-period) to long-term (200-period), creating a "fishnet" pattern on your chart. This graduated approach provides a comprehensive view of price action across multiple timeframes simultaneously:
🟠 Advanced Squeeze Detection Algorithm
The squeeze detection component identifies periods when all twelve SMAs converge into an unusually tight range, indicating market indecision and potential energy buildup. The algorithm uses several sophisticated filters:
1. ATR-Normalized Range Calculation: The indicator normalizes the SMA range using Average True Range (ATR) to ensure consistent squeeze detection across different volatility environments and price levels.
2. Historical Percentile Analysis: Compares the current normalized range against a customizable lookback period (default: 31 bars) to identify when SMAs are in the bottom percentile of historical tightness.
3. Statistical Validation: Uses z-score analysis to confirm that the current range is significantly below the mean, filtering out false signals.
4. Duration Confirmation: Requires the squeeze condition to persist for a minimum number of consecutive bars (default: 3) to validate genuine compression.
5. Local Minimum Verification: Confirms that the current squeeze represents the tightest point in recent history (20-bar window).
DM Scalp 70% ConfluenceDM Scalp 70% Confluence indicator is a signal generator, not an automated strategy. That means it plots visual cues (triangles) to tell you when conditions are favorable for a scalp trade, but you have to enter the trade manually.
Let’s break it down step by step
1. Understand What the Indicator Does
When multiple bullish or bearish technical conditions agree.
Each signal checks 8 factors (EMA alignment, RSI, VWAP, volume, momentum, etc.).
If 70% (≥ 5.6/8) agree:
Green triangle (CALL) → bullish scalp signal
Red triangle (PUT) → bearish scalp signal
It’s optimized for SPY on 1-minute and 5-minute timeframes — short-term scalping setups.
2. Entry for Long (CALL) Trades
When you see a green triangle (triangle up) under a candle:
Confirm the setup:
The composite line (EMA+VWAP) is turning up and colored green.
Price is above the composite line or crossing above it.
RSI > 55 and increasing.
Volume is at or above its 20-bar average.
Entry timing:
Enter on the candle close of the signal bar.
Conservative traders may wait for the next candle to confirm continuation (e.g., higher close).
Stop-loss:
Place just below the composite line or below the last swing low.
For 1-minute scalp, typically 0.15–0.25% below entry on SPY.
Take-profit:
Aim for a 1:1.5 or 1:2 reward/risk ratio, or exit near resistance/VWAP.
3. Entry for Short (PUT) Trades
When you see a red triangle (triangle down) above a candle:
Confirm the setup:
The composite line is turning down (red).
Price is below the composite line or crossing under.
RSI < 45 and falling.
Volume is elevated.
Entry timing:
Enter on candle close of the signal bar.
Conservative: confirm with next candle closing lower.
Stop-loss:
Just above the composite line or previous swing high.
Take-profit:
Same 1:1.5–1:2 risk/reward ratio, or exit near support/VWAP.
4. Optional: Multi-Timeframe Confirmation
You can use:
1m chart for entries.
5m chart to confirm the broader direction (if 5m trend matches 1m signal → stronger confluence).
If your 1m chart shows a CALL signal and the 5m EMAs are bullish too, it’s a higher-probability trade.
DM Multimembrane TablePurpose
It’s designed to visually summarize the trend direction across several timeframes (1D, 4H, 1H, 15m, and 5m) — all in a compact table displayed on your chart.
It helps you quickly see whether the market is trending up, down, or sideways across short-term and long-term views.
How It Works
For each timeframe (1D → 5m):
It calculates two Exponential Moving Averages (EMAs):
A Fast EMA (default 50)
A Slow EMA (default 200)
It compares:
The current price (close)
The relationship between Fast EMA and Slow EMA
It then defines the trend:
Uptrend → if price > slow EMA and fast EMA > slow EMA
Downtrend → if price < slow EMA and fast EMA < slow EMA
Neutral → everything else (mixed or consolidating)
Display
It creates a small table in the top-right corner of your chart with two columns:
Timeframe Trend
1D Up / Down / Neutral
4H Up / Down / Neutral
1H Up / Down / Neutral
15m Up / Down / Neutral
5m Up / Down / Neutral
Each Trend cell is color-coded:
Green = Uptrend
Red = Downtrend
Gray = Neutral
User Inputs
You can adjust:
Fast EMA length (default 50)
Slow EMA length (default 200)
Whether to show table borders
Practical Use
Traders use it to:
Quickly confirm trend alignment across timeframes.
Spot when short-term and long-term trends agree (a strong trend confirmation).
Identify mixed signals (potential reversals or consolidations).
🚀 DocBrown PRO Edition V14++🚀 DocBrown PRO Edition V14++ | Advanced 10-Minute Scalping System
A sophisticated algorithmic trading bot designed for high-frequency scalping on 10-minute timeframes, delivering exceptional results with 91%+ win rate and controlled 6.5% maximum drawdown.
Key Features:
Multi-Layer EMA System with dynamic support/resistance detection
Adaptive Volatility Stop Loss (VATS) - automatically adjusts to market conditions
Smart Entry Filters - ADX-based trend detection prevents range-bound losses
Dynamic Take Profit - targets key S&R levels for optimal exits
Anti-Liquidation Protection - multiple safety mechanisms including ATR trailing stops
Momentum Derivative Logic - closes positions before reversals hit your stop loss
Breakeven Protection - locks in profits automatically after minimal gains
Risk Management Excellence:
✅ Automatic stop-loss at breakeven + commission buffer
✅ Counter-trend detection with multi-confirmation system
✅ Volume spike protection against adverse moves
✅ Stagnation exit to avoid dead positions
✅ Consecutive bar monitoring for early exit signals
Optimized for: BTC, ETH, and high-volume altcoin pairs on leverage (20x recommended)
Performance: 17.76% net profit with 34.4 profit factor - wins $34 for every $1 risked.
Perfect for traders seeking consistent scalping profits with institutional-grade risk management.
ICT SMART MONEY__Advanced Multi-Timeframe Target TREND indicator with comprehensive ICT (Inner Circle Trader) concepts, session analysis, and smart money concepts for professional forex and crypto trading.__
---
### __🔥 Core Features:__
#### __📈 Multi-Timeframe Analysis__
- __7 Timeframe Table__: 1min, 5min, 15min, 30min, 1hour, 4hour, Daily analysis
- __Target System__: Stop Loss, Entry, TP1, TP2, TP3 calculations for each timeframe
- __Trend Direction__: Visual arrows showing bullish/bearish bias across all timeframes
#### __⚡ ICT Killzone Sessions__
- __4 Major Sessions__: Asia KZ, London KZ, NY AM, NY PM with colored session boxes
- __Pivot Lines__: Automatic high/low detection with full format labels ("ASIA High", "LONDON Low")
- __Global Label Alignment__: All session labels perfectly aligned for professional appearance
- __Range Analytics__: Real-time pip calculations with historical averages and Turkish volatility analysis
#### __🌍 Trading Session Management__
- __Individual Controls__: Asia/London sessions auto-enabled, NY sessions optional
- __Horizontal Lines__: Clean session high/low tracking without clutter
- __NY Lunch Session__: Additional 11:30-13:30 session for advanced analysis
- __Session Transparency__: Adjustable transparency levels for optimal chart visibility
#### __📍 Professional Key Levels__
- __Monday High/Low__: Weekly opening reference levels
- __Previous Day High/Low__: Daily support/resistance zones
- __Previous Week High/Low__: Major weekly levels
- __Full Format Labels__: "Previous Day High" instead of "PDH" for crystal clarity
- __160 Bar Distance__: Optimized label positioning for clean charts
#### __🔗 Liquidity Trendlines__
- __Automatic Detection__: 8-bar lookback pivot detection system
- __Breakout Signals__: Visual alerts when trendlines are broken
- __Dynamic Padding__: 4.0 ATR-based trendline spacing
- __Bullish/Bearish Colors__: Clear color coding for trend direction
#### __💎 Smart Money Concepts (SMC)__
- __Fair Value Gaps (FVG)__: Automatic gap detection with mitigation tracking
- __Structure Analysis__: BOS (Break of Structure) and CHoCH (Change of Character) detection
- __Structure Fibonacci__: 5-level fibonacci retracements (78.6%, 70.5%, 61.8%, 50%, 38.2%)
- __Lifecycle Management__: Complete FVG and structure history tracking
#### __📊 Range Analytics Table__
- __Session Volatility__: Current pip movement vs historical averages
- __Turkish Analysis__: "Güçlü Momentum", "Yüksek Aktivite", "Normal Aktivite", "Düşük Hareket", "Zayıf Session"
- __Integrated Display__: Seamlessly positioned below multi-timeframe table
- __Professional Formatting__: Color-coded session identification with status analysis
Quantum Market Harmonics [QMH]# Quantum Market Harmonics - TradingView Script Description
## 📊 OVERVIEW
Quantum Market Harmonics (QMH) is a comprehensive multi-dimensional trading indicator that combines four independent analytical frameworks to generate high-probability trading signals with quantifiable confidence scores. Unlike simple indicator combinations that display multiple tools side-by-side, QMH synthesizes temporal analysis, inter-market correlations, behavioral psychology, and statistical probabilities into a unified confidence scoring system that requires agreement across all dimensions before generating a confirmed signal.
---
## 🎯 WHAT MAKES THIS SCRIPT ORIGINAL
### The Core Innovation: Weighted Confidence Scoring
Most indicators provide binary signals (buy/sell) or display multiple indicators separately, leaving traders to interpret conflicting information. QMH's originality lies in its weighted confidence scoring system that:
1. **Combines Four Independent Methods** - Each framework (described below) operates independently and contributes points to an overall confidence score
2. **Requires Multi-Dimensional Agreement** - Signals only fire when multiple frameworks align, dramatically reducing false positives
3. **Quantifies Signal Strength** - Every signal includes a numerical confidence rating (0-100%), allowing traders to filter by quality
4. **Adapts to Market Conditions** - Different market regimes activate different component combinations
### Why This Combination is Useful
Traditional approaches suffer from:
- **Single-dimension bias**: RSI shows oversold, but trend is still down
- **Conflicting signals**: MACD says buy, but volume is weak
- **No prioritization**: All signals treated equally regardless of strength
QMH solves these problems by requiring multiple independent confirmations and weighting each component's contribution to the final signal. This multi-dimensional approach mirrors how professional traders analyze markets - not relying on one indicator, but waiting for multiple pieces of evidence to align.
---
## 🔬 THE FOUR ANALYTICAL FRAMEWORKS
### 1. Temporal Fractal Resonance (TFR)
**What It Does:**
Analyzes trend alignment across four different timeframes simultaneously (15-minute, 1-hour, 4-hour, and daily) to identify periods of multi-timeframe synchronization.
**How It Works:**
- Uses `request.security()` with `lookahead=barmerge.lookahead_off` to retrieve confirmed price data from each timeframe
- Calculates "fractal strength" for each timeframe using this formula:
```
Fractal Strength = (Rate of Change / Standard Deviation) × 100
```
This creates a momentum-to-volatility ratio that measures trend strength relative to noise
- Computes a Resonance Index when all four timeframes show the same directional bias
- The index averages the absolute strength values when all timeframes align
**Why This Method:**
Fractal Market Hypothesis suggests that price patterns repeat across different time scales. When trends align from short-term (15m) to long-term (Daily), the probability of trend continuation increases substantially. The momentum/volatility ratio filters out low-conviction moves where volatility dominates direction.
**Contribution to Confidence Score:**
- TFR Bullish = +25 points
- TFR Bearish = +25 points (to bearish confidence)
- No alignment = 0 points
---
### 2. Cross-Asset Quantum Entanglement (CAQE)
**What It Does:**
Analyzes correlation patterns between the current asset and three reference markets (Bitcoin, US Dollar Index, and Volatility Index) to identify both normal correlation behavior and anomalous breakdowns that often precede significant moves.
**How It Works:**
- Retrieves price data from BTC (BINANCE:BTCUSDT), DXY (TVC:DXY), and VIX (TVC:VIX) using confirmed bars
- Calculates Pearson correlation coefficient between the main asset and each reference:
```
Correlation = Covariance(X,Y) / (StdDev(X) × StdDev(Y))
```
- Computes an Intermarket Pressure Index by weighting each reference asset's momentum by its correlation strength:
```
Pressure = (Corr₁ × ROC₁ + Corr₂ × ROC₂ + Corr₃ × ROC₃) / 3
```
- Detects "correlation breakdowns" when average correlation drops below 0.3
**Why This Method:**
Markets don't operate in isolation. Inter-market analysis (developed by John Murphy) recognizes that:
- Crypto assets often correlate with Bitcoin
- Risk assets inversely correlate with VIX (fear gauge)
- Dollar strength affects commodity and crypto prices
When these normal correlations break down, it signals potential regime changes. The term "quantum" reflects the interconnected nature of these relationships - like quantum entanglement where distant particles influence each other.
**Contribution to Confidence Score:**
- CAQE Bullish (positive pressure, stable correlations) = +25 points
- CAQE Bearish (negative pressure, stable correlations) = +25 points (to bearish)
- Correlation breakdown = Warning marker (potential reversal zone)
---
### 3. Adaptive Market Psychology Matrix (AMPM)
**What It Does:**
Classifies the current market emotional state into six distinct categories by analyzing the interaction between momentum (RSI), volume behavior, and volatility acceleration (ATR change).
**How It Works:**
The system evaluates three metrics:
1. **RSI (14-period)**: Measures overbought/oversold conditions
2. **Volume Analysis**: Compares current volume to 20-period average
3. **ATR Rate of Change**: Detects volatility acceleration
Based on these inputs, the market is classified into:
- **Euphoria**: RSI > 80, volume spike present, volatility rising (extreme bullish emotion)
- **Greed**: RSI > 70, normal volume (moderate bullish emotion)
- **Neutral**: RSI 40-60, declining volatility (balanced state)
- **Fear**: RSI 40-60, low volatility (uncertainty without panic)
- **Panic**: RSI < 30, volume spike present, volatility rising (extreme bearish emotion)
- **Despair**: RSI < 20, normal volume (capitulation phase)
**Why This Method:**
Behavioral finance principles (Kahneman, Tversky) show that markets follow predictable emotional cycles. Extreme psychological states often mark reversal points because:
- At Euphoria/Greed peaks, everyone bullish has already bought (no buyers left)
- At Panic/Despair bottoms, everyone bearish has already sold (no sellers left)
AMPM provides contrarian signals at these extremes while respecting trends during Fear and Greed intermediate states.
**Contribution to Confidence Score:**
- Psychology Bullish (Panic/Despair + RSI < 35) = +15 points
- Psychology Bearish (Euphoria/Greed + RSI > 65) = +15 points
- Neutral states = 0 points
---
### 4. Time-Decay Probability Zones (TDPZ)
**What It Does:**
Creates dynamic support and resistance zones based on statistical probability distributions that adapt to changing market volatility, similar to Bollinger Bands but with enhancements for trend environments.
**How It Works:**
- Calculates a 20-period Simple Moving Average as the basis line
- Computes standard deviation of price over the same period
- Creates four probability zones:
- **Extreme Upper**: Basis + 2.5 standard deviations (≈99% probability boundary)
- **Upper Zone**: Basis + 1.5 standard deviations
- **Lower Zone**: Basis - 1.5 standard deviations
- **Extreme Lower**: Basis - 2.5 standard deviations (≈99% probability boundary)
- Dynamically adjusts zone width based on ATR (Average True Range):
```
Adjusted Upper = Upper Zone + (ATR × adjustment_factor)
Adjusted Lower = Lower Zone - (ATR × adjustment_factor)
```
- The adjustment factor increases during high volatility, widening the zones
**Why This Method:**
Traditional support/resistance levels are static and don't account for volatility regimes. TDPZ zones are probability-based and mean-reverting:
- Price has ≈99% probability of staying within extreme zones in normal conditions
- Touches to extreme zones represent statistical outliers (high-probability reversal opportunities)
- Zone expansion/contraction reflects volatility regime changes
- ATR adjustment prevents false signals during unusual volatility
The "time-decay" concept refers to mean reversion - the further price moves from the basis, the higher the probability of eventual return.
**Contribution to Confidence Score:**
- Price in Lower Extreme Zone = +15 points (bullish reversal probability)
- Price in Upper Extreme Zone = +15 points (bearish reversal probability)
- Price near basis = 0 points
---
## 🎯 HOW THE CONFIDENCE SCORING SYSTEM WORKS
### Signal Generation Formula
QMH calculates separate Bullish and Bearish confidence scores each bar:
**Bullish Confidence (0-100%):**
```
Base Score: 20 points
+ TFR Bullish: 25 points (if all 4 timeframes aligned bullish)
+ CAQE Bullish: 25 points (if intermarket pressure positive)
+ AMPM Bullish: 15 points (if Panic/Despair contrarian signal)
+ TDPZ Bullish: 15 points (if price in lower probability zones)
─────────
Maximum Possible: 100 points
```
**Bearish Confidence (0-100%):**
```
Base Score: 20 points
+ TFR Bearish: 25 points (if all 4 timeframes aligned bearish)
+ CAQE Bearish: 25 points (if intermarket pressure negative)
+ AMPM Bearish: 15 points (if Euphoria/Greed contrarian signal)
+ TDPZ Bearish: 15 points (if price in upper probability zones)
─────────
Maximum Possible: 100 points
```
### Confirmed Signal Requirements
A **QBUY** (Quantum Buy) signal generates when:
1. Bullish Confidence ≥ User-defined threshold (default 60%)
2. Bullish Confidence > Bearish Confidence
3. No active sell signal present
A **QSELL** (Quantum Sell) signal generates when:
1. Bearish Confidence ≥ User-defined threshold (default 60%)
2. Bearish Confidence > Bullish Confidence
3. No active buy signal present
### Why This Approach Is Different
**Example Comparison:**
Traditional RSI Strategy:
- RSI < 30 → Buy signal
- Result: May buy into falling knife if trend remains bearish
QMH Approach:
- RSI < 30 → Psychology shows Panic (+15 points)
- But requires additional confirmation:
- Are all timeframes also showing bullish reversal? (+25 points)
- Is intermarket pressure turning positive? (+25 points)
- Is price at a statistical extreme? (+15 points)
- Only when total ≥ 60 points does a QBUY signal fire
This multi-layer confirmation dramatically reduces false signals while maintaining sensitivity to genuine opportunities.
---
## 🚫 NO REPAINT GUARANTEE
**QMH is designed to be 100% repaint-free**, which is critical for honest backtesting and reliable live trading.
### Technical Implementation:
1. **All Multi-Timeframe Data Uses Confirmed Bars**
```pinescript
tf1_close = request.security(syminfo.tickerid, "15", close , lookahead=barmerge.lookahead_off)
```
Using `close ` instead of `close ` ensures we only reference the previous confirmed bar, not the current forming bar.
2. **Lookahead Prevention**
```pinescript
lookahead=barmerge.lookahead_off
```
This parameter prevents the function from accessing future data that wouldn't be available in real-time.
3. **Signal Timing**
Signals appear on the bar AFTER all conditions are met, not retroactively on the bar where conditions first appeared.
### What This Means for Users:
- **Backtest Accuracy**: Historical signals match exactly what you would have seen in real-time
- **No Disappearing Signals**: Once a signal appears, it stays (though price may move against it)
- **Honest Performance**: Results reflect true predictive power, not hindsight optimization
- **Live Trading Reliability**: Alerts fire at the same time signals appear on the chart
The dashboard displays "✓ NO REPAINT" to confirm this guarantee.
---
## 📖 HOW TO USE THIS INDICATOR
### Basic Trading Strategy
**For Trend Followers:**
1. **Wait for Signal Confirmation**
- QBUY label appears below a bar = Confirmed bullish entry opportunity
- QSELL label appears above a bar = Confirmed bearish entry opportunity
2. **Check Confidence Score**
- 60-70%: Moderate confidence (consider smaller position size)
- 70-85%: High confidence (standard position size)
- 85-100%: Very high confidence (consider larger position size)
3. **Enter Trade**
- Long entry: Market or limit order near signal bar
- Short entry: Market or limit order near signal bar
4. **Set Targets Using Probability Zones**
- Long trades: Target the adjusted upper zone (lime line)
- Short trades: Target the adjusted lower zone (red line)
- Alternatively, target the basis line (yellow) for conservative exits
5. **Set Stop Loss**
- Long trades: Below recent swing low minus 1 ATR
- Short trades: Above recent swing high plus 1 ATR
**For Mean Reversion Traders:**
1. **Wait for Extreme Zones**
- Price touches extreme lower zone (dotted red line below)
- Price touches extreme upper zone (dotted lime line above)
2. **Confirm with Psychology**
- At lower extreme: Look for Panic or Despair state
- At upper extreme: Look for Euphoria or Greed state
3. **Wait for Confidence Build**
- Monitor dashboard until confidence exceeds threshold
- Requires patience - extreme touches don't always reverse immediately
4. **Enter Reversal**
- Target: Return to basis line (yellow SMA 20)
- Stop: Beyond the extreme zone
**For Position Traders (Longer Timeframes):**
1. **Use Daily Timeframe**
- Set chart to daily for longer-term signals
- Signals will be less frequent but higher quality
2. **Require High Confidence**
- Filter setting: Min Confidence Score 80%+
- Only take the strongest multi-dimensional setups
3. **Confirm with Resonance Background**
- Green tinted background = All timeframes bullish aligned
- Red tinted background = All timeframes bearish aligned
- Only enter when background tint matches signal direction
4. **Hold for Major Targets**
- Long trades: Hold until extreme upper zone or opposite signal
- Short trades: Hold until extreme lower zone or opposite signal
---
## 📊 DASHBOARD INTERPRETATION
The QMH Dashboard (top-right corner) provides real-time market analysis across all four dimensions:
### Dashboard Elements:
1. **✓ NO REPAINT**
- Green confirmation that signals don't repaint
- Always visible to remind users of signal integrity
2. **SIGNAL: BULL/BEAR XX%**
- Shows dominant direction (whichever confidence is higher)
- Displays current confidence percentage
- Background color intensity reflects confidence level
3. **Psychology: **
- Current market emotional state
- Color coded:
- Orange = Euphoria (extreme bullish emotion)
- Yellow = Greed (moderate bullish emotion)
- Gray = Neutral (balanced state)
- Purple = Fear (uncertainty)
- Red = Panic (extreme bearish emotion)
- Dark red = Despair (capitulation)
4. **Resonance: **
- Multi-timeframe alignment strength
- Positive = All timeframes bullish aligned
- Negative = All timeframes bearish aligned
- Near zero = Timeframes not synchronized
- Emoji indicator: 🔥 (bullish resonance) ❄️ (bearish resonance)
5. **Intermarket: **
- Cross-asset pressure measurement
- Positive = BTC/DXY/VIX correlations supporting upside
- Negative = Correlations supporting downside
- Warning ⚠️ if correlation breakdown detected
6. **RSI: **
- Current RSI(14) reading
- Background colors: Red (>70 overbought), Green (<30 oversold)
- Status: OB (overbought), OS (oversold), or • (neutral)
7. **Status: READY BUY / READY SELL / WAIT**
- Quick trade readiness indicator
- READY BUY: Confidence ≥ threshold, bias bullish
- READY SELL: Confidence ≥ threshold, bias bearish
- WAIT: Confidence below threshold
### How to Use Dashboard:
**Before Entering a Trade:**
- Verify Status shows READY (not WAIT)
- Check that Resonance matches signal direction
- Confirm Psychology isn't contradicting (e.g., buying during Euphoria)
- Note Intermarket value - breakdowns (⚠️) suggest caution
**During a Trade:**
- Monitor Psychology shifts (e.g., from Fear to Greed in a long)
- Watch for Resonance changes that could signal exit
- Check for Intermarket breakdown warnings
---
## ⚙️ CUSTOMIZATION SETTINGS
### TFR Settings (Temporal Fractal Resonance)
- **Enable/Disable**: Turn TFR analysis on/off
- **Fractal Sensitivity** (5-50, default 14):
- Lower values = More responsive to short-term changes
- Higher values = More stable, slower to react
- Recommendation: 14 for balanced, 7 for scalping, 21 for position trading
### CAQE Settings (Cross-Asset Quantum Entanglement)
- **Enable/Disable**: Turn CAQE analysis on/off
- **Asset 1** (default BTC): Reference asset for correlation analysis
- **Asset 2** (default DXY): Second reference asset
- **Asset 3** (default VIX): Third reference asset
- **Correlation Length** (10-100, default 20):
- Lower values = More sensitive to recent correlation changes
- Higher values = More stable correlation measurements
- Recommendation: 20 for most assets, 50 for less volatile markets
### Psychology Settings (Adaptive Market Psychology Matrix)
- **Enable/Disable**: Turn AMPM analysis on/off
- **Volume Spike Threshold** (1.0-5.0x, default 2.0):
- Lower values = Detect smaller volume increases as spikes
- Higher values = Only flag major volume surges
- Recommendation: 2.0 for stocks, 1.5 for crypto
### Probability Settings (Time-Decay Probability Zones)
- **Enable/Disable**: Turn TDPZ visualization on/off
- **Probability Lookback** (20-200, default 50):
- Lower values = Zones adapt faster to recent price action
- Higher values = Zones based on longer statistical history
- Recommendation: 50 for most uses, 100 for position trading
### Filter Settings
- **Min Confidence Score** (40-95%, default 60%):
- Lower threshold = More signals, more false positives
- Higher threshold = Fewer signals, higher quality
- Recommendation: 60% for active trading, 75% for selective trading
### Visual Settings
- **Show Entry Signals**: Toggle QBUY/QSELL labels on chart
- **Show Probability Zones**: Toggle zone visualization
- **Show Psychology State**: Toggle dashboard display
---
## 🔔 ALERT CONFIGURATION
QMH includes four alert conditions that can be configured via TradingView's alert system:
### Available Alerts:
1. **Quantum Buy Signal**
- Fires when: Confirmed QBUY signal generates
- Message includes: Confidence percentage
- Use for: Entry notifications
2. **Quantum Sell Signal**
- Fires when: Confirmed QSELL signal generates
- Message includes: Confidence percentage
- Use for: Entry notifications or exit warnings
3. **Market Panic**
- Fires when: Psychology state reaches Panic
- Use for: Contrarian opportunity alerts
4. **Market Euphoria**
- Fires when: Psychology state reaches Euphoria
- Use for: Reversal warning alerts
### How to Set Alerts:
1. Right-click on chart → "Add Alert"
2. Condition: Select "Quantum Market Harmonics"
3. Choose alert type from dropdown
4. Configure expiration, frequency, and notification method
5. Create alert
**Recommendation**: Set alerts for Quantum Buy/Sell signals with "Once Per Bar Close" frequency to avoid intra-bar false triggers.
---
## 💡 BEST PRACTICES
### For All Users:
1. **Backtest First**
- Test on your specific market and timeframe before live trading
- Different assets may perform better with different confidence thresholds
- Verify that the No Repaint guarantee works as described
2. **Paper Trade**
- Practice with signals on a demo account first
- Understand typical signal frequency for your timeframe
- Get comfortable with the dashboard interpretation
3. **Risk Management**
- Never risk more than 1-2% of capital per trade
- Use proper stop losses (not just mental stops)
- Position size based on confidence score (larger size at higher confidence)
4. **Consider Context**
- QMH signals work best in clear trends or at extremes
- During tight consolidation, false signals increase
- Major news events can invalidate technical signals
### Optimal Use Cases:
**QMH Works Best When:**
- ✅ Markets are trending (up or down)
- ✅ Volatility is normal to elevated
- ✅ Price reaches probability zone extremes
- ✅ Multiple timeframes align
- ✅ Clear inter-market relationships exist
**QMH Is Less Effective When:**
- ❌ Extremely low volatility (zones contract too much)
- ❌ Sideways choppy markets (conflicting timeframes)
- ❌ Flash crashes or news events (correlations break down)
- ❌ Very illiquid assets (irregular price action)
### Session Considerations:
- **24/7 Markets (Crypto)**: Works on all sessions, but signals may be more reliable during high-volume periods (US/European trading hours)
- **Forex**: Best during London/New York overlap when volume is highest
- **Stocks**: Most reliable during regular trading hours (not pre-market/after-hours)
---
## ⚠️ LIMITATIONS AND RISKS
### This Indicator Cannot:
- **Predict Black Swan Events**: Sudden unexpected events invalidate technical analysis
- **Guarantee Profits**: No indicator is 100% accurate; losses will occur
- **Replace Risk Management**: Always use stop losses and proper position sizing
- **Account for Fundamental Changes**: Company news, economic data, etc. can override technical signals
- **Work in All Market Conditions**: Less effective during extreme low volatility or major news events
### Known Limitations:
1. **Multi-Timeframe Lag**: Uses confirmed bars (`close `), so signals appear one bar after conditions met
2. **Correlation Dependency**: CAQE requires sufficient history; may be less reliable on newly listed assets
3. **Computational Load**: Multiple `request.security()` calls may cause slower performance on older devices
4. **Repaint of Dashboard**: Dashboard updates every bar (by design), but signals themselves don't repaint
### Risk Warnings:
- Past performance doesn't guarantee future results
- Backtesting results may not reflect actual trading results due to slippage, commissions, and execution delays
- Different markets and timeframes may produce different results
- The indicator should be used as a tool, not as a standalone trading system
- Always combine with your own analysis, risk management, and trading plan
---
## 🎓 EDUCATIONAL CONCEPTS
This indicator synthesizes several established financial theories and technical analysis concepts:
### Academic Foundations:
1. **Fractal Market Hypothesis** (Edgar Peters)
- Markets exhibit self-similar patterns across time scales
- Implemented via multi-timeframe resonance analysis
2. **Behavioral Finance** (Kahneman & Tversky)
- Investor psychology drives market inefficiencies
- Implemented via market psychology state classification
3. **Intermarket Analysis** (John Murphy)
- Asset classes correlate and influence each other predictably
- Implemented via cross-asset correlation monitoring
4. **Mean Reversion** (Statistical Arbitrage)
- Prices tend to revert to statistical norms
- Implemented via probability zones and standard deviation bands
5. **Multi-Timeframe Analysis** (Technical Analysis Standard)
- Higher timeframe trends dominate lower timeframe noise
- Implemented via fractal resonance scoring
### Learning Resources:
To better understand the concepts behind QMH:
- Read "Intermarket Analysis" by John Murphy (for CAQE concepts)
- Study "Thinking, Fast and Slow" by Daniel Kahneman (for psychology concepts)
- Review "Fractal Market Analysis" by Edgar Peters (for TFR concepts)
- Learn about Bollinger Bands (for TDPZ foundation)
---
## 🔄 VERSION HISTORY AND UPDATES
**Current Version: 1.0**
This is the initial public release. Future updates will be published using TradingView's Update feature (not as separate publications). Planned improvements may include:
- Additional reference assets for CAQE
- Optional machine learning-based weight optimization
- Customizable psychology state definitions
- Alternative probability zone calculations
- Performance metrics tracking
Check the "Updates" tab on the script page for version history.
---
## 📞 SUPPORT AND FEEDBACK
### How to Get Help:
1. **Read This Description First**: Most questions are answered in the detailed sections above
2. **Check Comments**: Other users may have asked similar questions
3. **Post Comments**: For general questions visible to the community
4. **Use TradingView Messaging**: For private inquiries (if available)
### Providing Useful Feedback:
When reporting issues or suggesting improvements:
- Specify your asset, timeframe, and settings
- Include a screenshot if relevant
- Describe expected vs. actual behavior
- Check if issue persists with default settings
### Continuous Improvement:
This indicator will evolve based on user feedback and market testing. Constructive suggestions for improvements are always welcome.
---
## ⚖️ DISCLAIMER
This indicator is provided for **educational and informational purposes only**. It does **not constitute financial advice, investment advice, trading advice, or any other type of advice**.
**Important Disclaimers:**
- You should **not** rely solely on this indicator to make trading decisions
- Always conduct your own research and due diligence
- Past performance is not indicative of future results
- Trading and investing involve substantial risk of loss
- Only trade with capital you can afford to lose
- Consider consulting with a licensed financial advisor before trading
- The author is not responsible for any trading losses incurred using this indicator
**By using this indicator, you acknowledge:**
- You understand the risks of trading
- You take full responsibility for your trading decisions
- You will use proper risk management techniques
- You will not hold the author liable for any losses
---
## 🙏 ACKNOWLEDGMENTS
This indicator builds upon the collective knowledge of the technical analysis and trading community. While the specific implementation and combination are original, the underlying concepts draw from:
- The Pine Script community on TradingView
- Academic research in behavioral finance and market microstructure
- Classical technical analysis methods developed over decades
- Open-source indicators that demonstrate best practices in Pine Script coding
Special thanks to TradingView for providing the platform and Pine Script language that make indicators like this possible.
---
## 📚 ADDITIONAL RESOURCES
**Pine Script Documentation:**
- Official Pine Script Manual: www.tradingview.com
**Related Concepts to Study:**
- Multi-timeframe analysis techniques
- Correlation analysis in financial markets
- Behavioral finance principles
- Mean reversion strategies
- Bollinger Bands methodology
**Recommended TradingView Tools:**
- Strategy Tester: To backtest signal performance
- Bar Replay: To see how signals develop in real-time
- Alert System: To receive notifications of new signals
---
**Thank you for using Quantum Market Harmonics. Trade safely and responsibly.**
ApexSignalsIve been working with pine code for a really long time now, took me about 6 months to build this script, hopefully it works well for you.very good for trading. will help you out a lot
AI Trend Signal + Auto TrendLines [NinjADeviL]📈 AI Trend Signal + Auto TrendLines
The AI Trend Signal + Auto TrendLines indicator combines smart automatic trendline detection with AI-based market structure analysis to deliver precise real-time entry and exit signals.
🧠 Key Features:
🔹 Automatically detects upward and downward trendlines based on dynamic swing analysis.
🔹 Highlights breakout zones with clear visual alerts.
🔹 Built-in AI engine to forecast early trend reversals.
🔹 Integrates Smart Money Concepts (BOS / CHoCH).
🔹 Dynamic background and color-coded visualization for bullish/bearish trends.
🔹 Works across all timeframes and asset classes — stocks, forex, indices, and crypto.
⚙️ Fully Customizable:
Adjust colors, sensitivity, line styles, and alerts to fit your personal trading strategy and chart style.
💡 Perfect For:
Traders looking to identify high-probability breakouts, trend reversals, and key structural points in the market with clarity and accuracy.
RSI + BB strategyBollinger Bands 20/2.5 + RSI 20-day 25/75
Long = Enter a long position when the price breaks below the Bollinger Band, the candlestick closes, and the RSI is below 25.
Short = Enter a short position when the price breaks above the Bollinger Band, the candlestick closes, and the RSI is above 75.
Take profit = Default setting: Take profit when profit is +4%. For safety, sell half of the position when profit is +2% to break even.
Lower average: -5% loss. If the RSI is 20/80, use the lower average. Sell the remaining amount when the price returns to its original price.
Based on 5-minute and 15-minute charts
Otherwise, signals will be difficult to obtain. For charts longer than 1 hour, adjust RSI and BB appropriately.
Monthly First-Day Range Breakout (Long-Only)Monthly First-Day Range Breakout (Long-Only)
When the Close is above the first candle of the month - Long
Wait for the First Day Close
GUSI ProGUSI — Adaptive Bitcoin Cycle Risk Model
Most on-chain metrics published on TradingView — such as NUPL, MVRV, or Puell Multiple — were once reliable in past cycles but have lost accuracy. The reason is simple: their trigger levels are static, while Bitcoin’s market structure changes over time. Tops have formed lower each cycle, yet the traditional horizontal thresholds remain unchanged.
What GUSI does differently:
It introduces sloped trigger functions that decrease over time, adapting each metric to Bitcoin’s maturing market.
It applies long-term normalization methods (smoothing and z-score lookups) to reduce distortion from short-term volatility and extreme outliers.
It only includes signals that remain valid across all Bitcoin cycles since 2011, discarding dozens of popular on-chain ideas that fail even after adjustment.
How GUSI is built:
GUSI is not just a mashup of indicators. Each component is a proprietary, modified version of a known on-chain signal:
Logarithmic MACD with declining trigger bands
MVRV-Z Score Regression with cycle-aware slopes
Net Unrealized Profit/Loss Ratio normalized with dynamic z-scores
Puell Multiple with logarithmic decay
Weekly RSI momentum filter for bottoms
Optional Pi Cycle Top logic with sloped moving averages
These are combined into a composite risk scoring system (0–100). Every signal contributes to the score according to user-defined weights, and each can be toggled on/off. The end result is a flexible model that adapts to long-term changes in Bitcoin’s cycles while staying transparent in its logic.
How to use it:
Scores near 97 indicate historically high-risk conditions (cycle tops).
Scores near 2.5 highlight deep accumulation zones (cycle bottoms).
Background colors and labels make the conditions clear, and built-in alerts let you automate your strategy.
GUSI is designed for the INDEX:BTCUSD 1D chart and works best when viewed in that context.
In short: GUSI makes classic on-chain indicators relevant again by adapting them to Bitcoin’s evolving market cycles. Instead of relying on static thresholds that stop working over time, it introduces dynamic slopes, normalization, and a weighted composite framework that traders can adjust themselves.
SUPER BUY SELL(INDICATOR)Hello Trader Welcome Back To My SUPER BUY SELL(INDICATOR).
This Indicator Made By Pivot Point Demand Supply Zone And Super trend Indicator Formula.
Uses Of Instruction :-
When Market Up To The Super Trend Indicator's Then We Should To Take BUY Entry . Don't Take SELL Entry .
When Market Down To The Super Trend Indicator's Then We Should To Take SELL Entry . Don't Take BUY Entry .
This Indicator Educational Purpose Only Not For Sale.






















