PnL_EMA_TRACK12_PRO_3.3_full_adjusted# Multi-Ticker Support
Manage up to 12 tickers simultaneously.
- For each symbol, input share quantities, entry prices, and two optional additional entry points (E2, E3) with their own shares and offset percentages.
- Dynamic handling of inputs using arrays for easier maintenance and scalability.
# Average Cost and PnL Calculation
- Computes weighted average entry costs across all position parts (E1 and optionally E2 and E3).
- Calculates real-time Profit & Loss (PnL) both in USD and percentage relative to the current price.
- Color-coded values: green for profit, red for loss — for quick visual feedback.
# Moving Averages as Benchmarks
- Uses daily EMAs (10, 21, 65) and 15-minute SMA 200 as reference levels.
- Calculates percentage deviations of these moving averages from the average entry price.
- Calculates dollar differences based on the total shares held.
# Chart Visualization
- Draws a dashed yellow line for the average cost of each position.
- Optionally draws two additional lines and labels for E2 (blue) and E3 (purple) if activated.
- Lines extend to the right to emphasize current relevance.
- Labels can be positioned left or right, with customizable horizontal offset.
# Interactive Table in Chart
- Positions the info table in any chosen corner or center of the chart (top/right/left/middle, etc.).
- Displays symbol, PnL (dollar and percentage), and deviations to key EMAs and SMA.
- Colors PnL values according to profit or loss for instant clarity.
# User-Friendly Settings
- Flexible font size options for both the table and labels.
- Customizable colors for positive and negative values (default green/red).
- Choice of label position and X-axis offset to fit your chart style.
Forecasting
QP 19 | Z 2Description:
🔮 A dynamic visual indicator tailored for price projection and market reaction analysis.
Designed to support traders with directional signals and smart visual cues.
© All rights reserved – qlylmdb
🔸 Signal Guide:
🔼 / 🔽 Direction Arrows
Appear when a potential movement is expected upward or downward.
🎯 Target Line
Represents a forecasted price level where the move may extend.
🎯🎯 Second Target
Extended objective if the trend continues with strength.
❌ Stop Line
A line suggesting invalidation if price crosses a certain threshold.
🔁 Reversal Signal
Triggered when conditions indicate a potential change in direction.
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Reversal zones highlighted via color-coded backgrounds
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MTF Trend Heatmap (EMA + MACD) by PierreKMTF Trend Heatmap (EMA + MACD) by PierreK
This indicator offers a compact and clear heatmap that visualizes the current trend status of an instrument across multiple key timeframes. Based on the combination of the EMA 50 and EMA 200, as well as the MACD indicator, the heatmap shows whether the trend is bullish (green dot) or bearish (red dot) on the 1-minute, 5-minute, 15-minute, 1-hour, 4-hour, and 1-day timeframes.
Highlights:
• Multi-timeframe analysis at a glance - perfect for traders who want to keep an eye on multiple timeframes.
• Clearly defined trend logic: EMA 50 > EMA 200 and MACD above signal and zero line.
‣ Simple color scheme for quick trend decisions.
Optimized for all markets and assets (forex, stocks, cryptocurrencies, etc.).
• Chart overload - heatmap as a separate, clearly positioned table.
Ideal for day traders, swing traders, and anyone who needs quick trend overviews for their trading.
FAQ
Q. Which markets is the indicator suitable for?
A: The indicator works universally on forex, stocks, cryptocurrencies, and other TradingView symbols.
Q: Can I add additional timeframes?
A: Currently, 1m, 5m, 15m, 1h, 4h, and 1d are preset. Adjustments are possible in the code if you are familiar with Pine Script.
Q: How accurate is the trend determination?
A: The trend is determined very reliably using the combination of the EMA 50/200 and MACD (via the signal line and the zero line).
Q: Can I use alerts with this indicator?
A: Alerts are not included in the standard script, but can be added individually.
Sweep & Reclaim Indicator with Time, EMA & ATR FilterCandlestick structure scalping
With this model, you are looking for a sweep of a bearish candle, then that bullish candle closes back inside the range of the bearish candle and you buystop the reclaimed candles high. Vice versa for bearish. I like to use the candle low as stop targeting 1R or higher.
You also only want to take trades between 9:30-11:30AM EST, you want an ATR above 10, and a LTF EMA, I like the 10. Those are all attached as filters with this indicator.
SQV Indicator Bridge# SQV Indicator Bridge - Quick Guide
## What is SQV Indicator Bridge?
A simple connector that validates your indicator's signals using SQV Lite before displaying them on the chart. Only high-quality signals pass through.
## How It Works
```
Your Indicator → Generates Signals → SQV Lite → Validates Quality → Bridge → Shows Only Valid Signals
```
## Quick Setup (3 Steps)
### Step 1: Prepare Your Indicator
Add these lines to export your signals:
```pinescript
// At the end of your indicator code
plot(longCondition ? 1 : 0, "Long Signal", display=display.none)
plot(shortCondition ? 1 : 0, "Short Signal", display=display.none)
```
### Step 2: Add to Chart (in order)
1. Your indicator
2. SQV Lite
3. SQV Indicator Bridge
### Step 3: Connect Sources
In Bridge settings:
- **Long Signal Source** → Select: YourIndicator: Long Signal
- **Short Signal Source** → Select: YourIndicator: Short Signal
- **SQV Long Valid** → Select: SQV Lite: SQV Long Valid
- **SQV Short Valid** → Select: SQV Lite: SQV Short Valid
- **SQV Score** → Select: SQV Lite: SQV Score
## Visual Settings
| Setting | Description | Default |
|---------|-------------|---------|
| Show Labels | Display BUY/SELL labels | On |
| Label Offset | Distance from candles (0-5 ATR) | 0 |
| Label Size | Tiny, Small, or Normal | Small |
| Long Color | Color for buy signals | Green |
| Short Color | Color for sell signals | Red |
## What You'll See
- **Green "LONG" labels** - When your buy signal passes SQV validation
- **Red "SHORT" labels** - When your sell signal passes SQV validation
- **No label** - When signal quality is too low
## Common Issues & Solutions
### No labels appearing?
1. Check "Use External Signals" is ON in SQV Lite
2. Verify source connections are correct
3. Lower minimum score in SQV Lite (try 60)
4. Test your indicator separately to ensure it generates signals
### Too many/few signals?
- Adjust "Minimum Quality Score" in SQV Lite
- Default is 65, lower for more signals, higher for fewer
### Wrong signals showing?
- Check Trading Mode in SQV Lite matches your strategy (Long Only/Short Only/Both)
## Example Integration
### Simple MA Cross Indicator
```pinescript
//@version=6
indicator("MA Cross with SQV", overlay=true)
// Your logic
fast = ta.sma(close, 20)
slow = ta.sma(close, 50)
longSignal = ta.crossover(fast, slow)
shortSignal = ta.crossunder(fast, slow)
// Plot MAs
plot(fast, color=color.blue)
plot(slow, color=color.red)
// Export for SQV Bridge (REQUIRED!)
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
## Tips
✅ **DO**:
- Test in "Autonomous Mode" first (SQV Lite setting)
- Use clear signal names in your plots
- Keep signals binary (1 or 0)
❌ **DON'T**:
- Forget to add `display=display.none` to signal plots
- Use values other than 0 and 1 for signals
- Leave "Use External Signals" OFF in SQV Lite
## Alert Setup
1. Enable "Enable Alerts" in Bridge settings
2. Create alert on Bridge (not your indicator)
3. Alert message includes SQV score
Example alert: `"Long Signal Validated | Score: 85"`
## Complete Bridge Code
```pinescript
//@version=6
indicator("SQV Indicator Bridge", overlay=true)
// From your indicator
longSignal = input.source(close, "Long Signal Source", group="Signal Sources")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources")
// From SQV Lite
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources")
sqvScore = input.source(close, "SQV Score", group="SQV Sources")
// Settings
showLabels = input.bool(true, "Show Labels", group="Visual")
labelOffset = input.float(0.0, "Label Offset (ATR)", minval=0.0, maxval=5.0, step=0.5, group="Visual")
labelSize = input.string("small", "Label Size", options= , group="Visual")
longColor = input.color(color.green, "Long Color", group="Visual")
shortColor = input.color(color.red, "Short Color", group="Visual")
enableAlerts = input.bool(false, "Enable Alerts", group="Alerts")
// Logic
atr = ta.atr(14)
offset = labelOffset > 0 ? atr * labelOffset : 0
hasValidLong = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasValidShort = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Show labels
if showLabels
if hasValidLong
label.new(bar_index, low - offset, "LONG",
style=label.style_label_up,
color=longColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
if hasValidShort
label.new(bar_index, high + offset, "SHORT",
style=label.style_label_down,
color=shortColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
// Alerts
if enableAlerts
if hasValidLong
alert("Long Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
if hasValidShort
alert("Short Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
```
---
**Need help?** Check the full SQV documentation or contact through TradingView messages.
Signal Quality Validator - Lite# Signal Quality Validator Lite - Technical Documentation
## Introduction
The Signal Quality Validator (SQV) Lite represents a comprehensive approach to technical signal validation, designed to evaluate trading opportunities through multi-dimensional market analysis. This indicator provides traders with objective quality assessments for their entry signals across various market conditions and timeframes.
## Core Architecture
### Component-Based Validation System
SQV Lite employs five fundamental market components, each contributing weighted scores to produce a final quality assessment. The system analyzes multiple market dimensions simultaneously to provide comprehensive signal validation.
Each component uses proprietary algorithms to evaluate specific market conditions:
- Directional bias and strength assessment
- Market participation and flow analysis
- Price acceleration patterns
- Key technical level identification
- Optimal volatility conditions
The final score represents a weighted combination of all components, with thresholds adjusted for different market conditions and timeframes.
## Scoring Methodology
### Quality Grades
- **Grade A+ (90-100)**: Exceptional setup quality with maximum component confluence
- **Grade A (80-89)**: High-quality signals suitable for full position sizing
- **Grade B (65-79)**: Acceptable signals meeting minimum validation criteria
- **Grade C (<65)**: Substandard conditions, signal rejected
### Timeframe Profiles
Pre-configured profiles optimize component weights and thresholds:
| Profile | Typical Use Case | Min/High/Perfect Scores |
|---------|------------------|------------------------|
| 1-5 min | Scalping | 60/75/85 |
| 15-30 min | Day Trading | 65/80/90 |
| 1H-4H | Intraday Swing | 70/85/95 |
| Daily+ | Position Trading | 75/88/95 |
| Custom | User Defined | Configurable |
## Integration Guide
### Standalone Usage
1. Add SQV Lite to your chart
2. Select appropriate timeframe profile
3. Monitor real-time quality grades on signal bars
4. Use dashboard for current market assessment
### Bidirectional Strategy Integration
SQV Lite supports complete two-way communication with your custom strategies, enabling sophisticated signal validation workflows.
#### Step 1: Setting Up Your Strategy to Send Signals
In your custom strategy/indicator, export your signals as plots:
```pinescript
//@version=6
indicator("My Custom Strategy", overlay=true)
// Your signal logic
longSignal = ta.crossover(ema9, ema21) // Example
shortSignal = ta.crossunder(ema9, ema21) // Example
// CRITICAL: Export signals for SQV to read
// Use display=display.none to hide the plots
plot(longSignal ? 1 : 0, "Long Signal Output", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal Output", display=display.none)
```
#### Step 2: Configure SQV Lite to Receive Signals
1. Add SQV Lite to the same chart as your strategy
2. In SQV Lite settings, enable "Use External Signals"
3. Click on "External Long Signal Source" and select your strategy's "Long Signal Output"
4. Click on "External Short Signal Source" and select your strategy's "Short Signal Output"
#### Step 3: Import SQV Validation Back to Your Strategy
Complete the bidirectional flow by importing SQV's validation results:
```pinescript
//@version=6
strategy("My Strategy with SQV Integration", overlay=true)
// Import SQV validation results
sqvScore = input.source(close, "SQV Score Source", group="SQV Integration")
sqvLongValid = input.source(close, "SQV Long Valid Source", group="SQV Integration")
sqvShortValid = input.source(close, "SQV Short Valid Source", group="SQV Integration")
sqvTradingMode = input.source(close, "SQV Trading Mode", group="SQV Integration")
// Your original signals
longSignal = ta.crossover(ema9, ema21)
shortSignal = ta.crossunder(ema9, ema21)
// Export for SQV
plot(longSignal ? 1 : 0, "Long Signal Output", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal Output", display=display.none)
// Use SQV validation in entry logic
if longSignal and sqvLongValid > 0
strategy.entry("Long", strategy.long)
// Optional: Use sqvScore for position sizing
if shortSignal and sqvShortValid > 0
strategy.entry("Short", strategy.short)
```
#### Step 4: Complete Integration Setup
After adding both scripts to your chart:
1. In your strategy settings → SQV Integration:
- Set "SQV Score Source" → Select SQV Lite: SQV Score
- Set "SQV Long Valid Source" → Select SQV Lite: SQV Long Valid
- Set "SQV Short Valid Source" → Select SQV Lite: SQV Short Valid
2. In SQV Lite settings → Signal Import:
- Enable "Use External Signals"
- Set "External Long Signal Source" → Select Your Strategy: Long Signal Output
- Set "External Short Signal Source" → Select Your Strategy: Short Signal Output
### Available Data Exports from SQV
```pinescript
// Core validation data
plot(currentTotalScore, "SQV Score", display=display.none) // 0-100
plot(sqvLongValid ? 1 : 0, "SQV Long Valid", display=display.none) // 0 or 1
plot(sqvShortValid ? 1 : 0, "SQV Short Valid", display=display.none) // 0 or 1
// Component scores for advanced usage
plot(currentTrendScore, "SQV Trend Score", display=display.none)
plot(currentVolumeScore, "SQV Volume Score", display=display.none)
plot(currentMomentumScore, "SQV Momentum Score", display=display.none)
plot(currentStructureScore, "SQV Structure Score", display=display.none)
plot(currentVolatilityScore, "SQV Volatility Score", display=display.none)
// Additional data
plot(orderFlowDelta, "SQV Order Flow Delta", display=display.none)
plot(tradingMode == "Long" ? 1 : tradingMode == "Short" ? -1 : 0, "SQV Trading Mode", display=display.none)
```
### Advanced Integration Examples
#### Example 1: Quality-Based Position Sizing
```pinescript
// In your strategy
sqvScore = input.source(close, "SQV Score Source", group="SQV Integration")
// Dynamic position sizing based on signal quality
positionSize = sqvScore >= 90 ? 3 : // A+ quality = 3 units
sqvScore >= 80 ? 2 : // A quality = 2 units
sqvScore >= 65 ? 1 : 0 // B quality = 1 unit
if longSignal and sqvLongValid > 0 and positionSize > 0
strategy.entry("Long", strategy.long, qty=positionSize)
```
#### Example 2: Filtering by Component Scores
```pinescript
// Import individual components
sqvTrend = input.source(close, "SQV Trend Score", group="SQV Integration")
sqvVolume = input.source(close, "SQV Volume Score", group="SQV Integration")
sqvMomentum = input.source(close, "SQV Momentum Score", group="SQV Integration")
// Custom filtering logic
strongTrend = sqvTrend > 80
goodVolume = sqvVolume > 70
strongSetup = strongTrend and goodVolume
if longSignal and sqvLongValid > 0 and strongSetup
strategy.entry("Strong Long", strategy.long)
```
#### Example 3: Order Flow Integration
```pinescript
// Import order flow data
sqvOrderFlow = input.source(close, "SQV Order Flow Delta", group="SQV Integration")
// Use order flow for additional confirmation
bullishFlow = sqvOrderFlow > 100 // Significant buying pressure
bearishFlow = sqvOrderFlow < -100 // Significant selling pressure
if longSignal and sqvLongValid > 0 and bullishFlow
strategy.entry("Long+Flow", strategy.long)
```
### Visual Feedback Configuration
#### Label Display Modes
1. **Autonomous Mode** (standalone testing):
- Enable "Show Labels Without Signals"
- Labels appear on every bar where score >= minimum threshold
- Useful for initial testing without strategy integration
2. **Signal Mode** (production use):
- Disable "Show Labels Without Signals"
- Enable "Use External Signals"
- Labels appear ONLY when your strategy generates signals
- Prevents chart clutter, shows validation exactly when needed
#### Troubleshooting Integration
**Common Issues:**
1. **Labels not appearing:**
- Verify "Use External Signals" is enabled
- Check signal sources are properly connected
- Ensure your strategy is actually generating signals (add visible plots temporarily)
2. **Wrong source selection:**
- Source dropdowns should show your indicator/strategy name
- Each output plot should be visible in the dropdown
- If not visible, check plot titles in your strategy
3. **Validation always failing:**
- Check Trading Mode matches your signal types
- Verify minimum score thresholds aren't too high
- Use Autonomous Mode to test if SQV is working properly
### Best Practices
1. **Always use `display=display.none`** for communication plots to keep charts clean
2. **Name your plots clearly** for easy identification in source dropdowns
3. **Test in Autonomous Mode first** to understand SQV behavior
4. **Use consistent signal logic** - ensure signals are binary (1 or 0)
5. **Consider adding a small delay** between signal and entry for validation processing
### Complete Integration Template
Here's a full template for a strategy with complete SQV integration:
```pinescript
//@version=6
strategy("Complete SQV Integration Template", overlay=true)
// ========== SQV Integration Inputs ==========
sqvScore = input.source(close, "SQV Score Source", group="SQV Integration")
sqvLongValid = input.source(close, "SQV Long Valid Source", group="SQV Integration")
sqvShortValid = input.source(close, "SQV Short Valid Source", group="SQV Integration")
sqvOrderFlow = input.source(close, "SQV Order Flow Delta", group="SQV Integration")
// ========== Strategy Parameters ==========
emaFast = input.int(9, "Fast EMA")
emaSlow = input.int(21, "Slow EMA")
useQualitySizing = input.bool(true, "Use Quality-Based Sizing")
// ========== Indicators ==========
ema1 = ta.ema(close, emaFast)
ema2 = ta.ema(close, emaSlow)
// ========== Signal Logic ==========
longSignal = ta.crossover(ema1, ema2)
shortSignal = ta.crossunder(ema1, ema2)
// ========== Export Signals to SQV ==========
plot(longSignal ? 1 : 0, "Long Signal Output", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal Output", display=display.none)
// ========== Position Sizing ==========
baseSize = 1
qualityMultiplier = useQualitySizing ?
(sqvScore >= 90 ? 3 : sqvScore >= 80 ? 2 : 1) : 1
positionSize = baseSize * qualityMultiplier
// ========== Entry Logic with SQV Validation ==========
if longSignal and sqvLongValid > 0
strategy.entry("Long", strategy.long, qty=positionSize)
if shortSignal and sqvShortValid > 0
strategy.entry("Short", strategy.short, qty=positionSize)
// ========== Exit Logic ==========
if strategy.position_size > 0 and shortSignal
strategy.close("Long")
if strategy.position_size < 0 and longSignal
strategy.close("Short")
// ========== Visual Feedback ==========
plotshape(longSignal and sqvLongValid > 0, "Valid Long",
location=location.belowbar, color=color.green, style=shape.triangleup)
plotshape(shortSignal and sqvShortValid > 0, "Valid Short",
location=location.abovebar, color=color.red, style=shape.triangledown)
```
This template provides everything needed for professional bidirectional integration between your custom strategy and SQV Lite.
## Order Flow Analysis
The integrated Order Flow system automatically adapts to market conditions, providing intelligent analysis of buying and selling pressure. The system handles various market scenarios including low liquidity and minimal price movement conditions through advanced algorithms.
## Visual Interface
### Signal Labels
Displays three-line information blocks:
- Grade designation (A+, A, B, C)
- Numerical quality score
- Order flow direction and magnitude
### Dashboard Elements
- **Profile Display**: Active configuration and thresholds
- **Score Visualization**: Real-time quality assessment
- **Flow Indicator**: Directional bias representation
- **Status Monitor**: Ready/Wait signal state
### Customization Options
- Label distance adjustment (0.5-3.0x ATR)
- Profile selection and custom configuration
- Component weight modifications (Custom mode)
- Threshold adjustments for different market conditions
## Trading Mode Selection
Three operational modes accommodate different trading styles:
- **Long Only**: Validates bullish signals exclusively
- **Short Only**: Validates bearish signals exclusively
- **Both**: Bi-directional signal validation
## Performance Considerations
SQV Lite maintains computational efficiency through:
- Optimized calculation cycles
- Selective component updates
- Efficient data structure usage
- Minimal redundant processing
---
## Feature Comparison: SQV Lite vs Full Version
### Core Components
| Component | SQV Lite | SQV Full | Details |
|-----------|----------|----------|---------|
| **Trend Analysis** | ✅ Full | ✅ Full | Professional trend evaluation |
| **Volume Dynamics** | ✅ Full | ✅ Full | Advanced volume analysis |
| **Momentum Assessment** | ✅ Full | ✅ Full | Multi-factor momentum |
| **Market Structure** | ✅ Basic | ✅ Enhanced | Key level detection |
| **Volatility Filter** | ✅ Full | ✅ Full | Risk-adjusted filtering |
| **Performance Analytics** | ❌ | ✅ | Real-time performance tracking |
| **Impulse Detection** | ❌ | ✅ | Advanced signal filtering |
### Advanced Features
| Feature | SQV Lite | SQV Full | Benefits |
|---------|----------|----------|----------|
| **Multi-Timeframe Analysis** | ❌ | ✅ | Higher timeframe confirmation |
| **Dynamic Position Sizing** | ❌ | ✅ Automatic | Dynamic size optimization |
| **Auto Mode** | ❌ | ✅ | Self-optimizing system |
| **Advanced Profiling** | ❌ | ✅ | Market depth analysis |
| **Recovery Mode** | ❌ | ✅ | Adaptive drawdown handling |
| **Statistical Validation** | ❌ | ✅ | Confidence-based filtering |
### Profiles & Configuration
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Timeframe Profiles** | 5 | 8 |
| **Available Profiles** | 1-5m, 15-30m, 1-4H, Daily+, Custom | All Lite + ES, NQ, Auto |
| **Custom Weights** | ✅ Manual | ✅ Manual + Auto-optimization |
| **Threshold Adjustment** | ✅ | ✅ Enhanced |
### Visual Interface
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Dashboard Styles** | 1 (Standard) | 4 (Multiple layouts) |
| **Signal Labels** | ✅ Basic | ✅ Enhanced with sizing |
| **Advanced Visualizations** | ❌ | ✅ |
| **Component Breakdown** | ❌ | ✅ Detailed view |
| **Performance Display** | ❌ | ✅ Live statistics |
| **Debug Mode** | ❌ | ✅ |
### Integration Capabilities
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Script Type** | Indicator | Strategy |
| **Signal Import** | ✅ | Via strategy conditions |
| **Data Export** | ✅ All via plots | Internal to strategy |
| **Bidirectional Flow** | ✅ Full support | One-way (strategy-based) |
### Risk Management
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Position Sizing** | Manual | ✅ Automatic |
| **Quality-Based Sizing** | Via integration | ✅ Built-in |
| **Performance Adjustment** | ❌ | ✅ |
| **Risk Grade System** | ❌ | ✅ Risk grading system |
| **Statistical Filtering** | ❌ | ✅ |
### Market Analysis
| Feature | SQV Lite | SQV Full |
|---------|----------|----------|
| **Order Flow Analysis** | ✅ Automatic | ✅ Advanced |
| **Market Manipulation Detection** | ❌ | ✅ |
| **Multi-Timeframe Validation** | ❌ | ✅ |
| **Advanced Momentum Analysis** | Basic | ✅ Enhanced |
| **Market Regime Adaptation** | Basic | ✅ Full Auto Mode |
### Summary
| Aspect | SQV Lite | SQV Full |
|--------|----------|----------|
| **Best For** | Signal validation, integration with custom strategies | Complete trading system with built-in strategy |
| **Learning Curve** | Easy | Moderate |
| **Customization** | High (via integration) | Very High (all parameters) |
| **Price** | Free | $29/month |
---
## SQV Bridge System
### Overview
The SQV Bridge System allows you to connect any TradingView indicator or strategy with the Signal Quality Validator (SQV) system. This enables you to add professional-grade signal validation to your existing trading tools without modifying their code.
### System Components
1. **SQV Lite** (Required) - The core validation engine
2. **Bridge** (Choose one):
- **Indicator Bridge** - For visual signals and alerts
- **Strategy Bridge** - For automated backtesting and trading
3. **Your Trading Tool** - Any indicator or strategy that generates signals
---
## SQV Indicator Bridge
### //@version=6
### indicator("SQV Indicator Bridge", overlay=true)
### Purpose
The Indicator Bridge displays validated entry signals on your chart. It receives signals from any indicator and validation from SQV Lite, showing only high-quality trade opportunities.
### Features
- Visual labels for validated signals
- Customizable appearance (size, color, position)
- Alert capabilities
- Hidden signal exports for other tools
### Setup Instructions
1. **Add Your Indicator**
- Apply your trading indicator to the chart
- Note which plots contain long/short signals
2. **Add SQV Lite**
- Add SQV Lite indicator to the same chart
- Configure SQV settings as needed
3. **Add Indicator Bridge**
- Add "SQV Indicator Bridge" to chart
- Connect the sources:
- Long Signal Source → Your indicator's long signal
- Short Signal Source → Your indicator's short signal
- SQV Long Valid → From SQV Lite
- SQV Short Valid → From SQV Lite
- SQV Score → From SQV Lite (for alerts)
### Configuration Options
#### Visual Settings
- **Show Labels**: Toggle signal labels on/off
- **Label Offset**: Distance from candles (0-5 ATR)
- **Label Size**: Tiny, Small, or Normal
- **Colors**: Customize long/short colors
#### Alerts
- Enable/disable alert notifications
- Alerts include SQV score in message
### Example Code (Add to Your Indicator)
```pinescript
// Export signals from your indicator
plot(longCondition ? 1 : 0, "Long Signal", display=display.none)
plot(shortCondition ? 1 : 0, "Short Signal", display=display.none)
```
### Complete Indicator Bridge Code
```pinescript
//@version=6
indicator("SQV Indicator Bridge", overlay=true)
// ===================================================================
// SQV INDICATOR BRIDGE - CLEAN VERSION
// Version 1.0
//
// Simple bridge that shows validated entry signals.
// Receives signals from any indicator and validation from SQV Lite.
//
// SETUP:
// 1. Add your indicator to chart
// 2. Add SQV Lite to chart
// 3. Add this bridge
// 4. Connect sources in settings
// ===================================================================
// ===================================================================
// INPUT SOURCES
// ===================================================================
// From your indicator
longSignal = input.source(close, "Long Signal Source", group="Signal Sources",
tooltip="Select Long Signal from your indicator")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources",
tooltip="Select Short Signal from your indicator")
// From SQV Lite
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources",
tooltip="Select 'SQV Long Valid' from SQV Lite")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources",
tooltip="Select 'SQV Short Valid' from SQV Lite")
sqvScore = input.source(close, "SQV Score", group="SQV Sources",
tooltip="Select 'SQV Score' from SQV Lite (for alerts)")
// ===================================================================
// SETTINGS
// ===================================================================
showLabels = input.bool(true, "Show Labels", group="Visual")
labelOffset = input.float(0.0, "Label Offset (ATR)", minval=0.0, maxval=5.0, step=0.5, group="Visual",
tooltip="0 = Labels at candle edges, higher = further away")
labelSize = input.string("small", "Label Size", options= , group="Visual")
longColor = input.color(color.green, "Long Color", group="Visual")
shortColor = input.color(color.red, "Short Color", group="Visual")
enableAlerts = input.bool(false, "Enable Alerts", group="Alerts")
// ===================================================================
// MAIN LOGIC
// ===================================================================
// Calculate offset
atr = ta.atr(14)
offset = labelOffset > 0 ? atr * labelOffset : 0
// Check for validated signals
hasValidLong = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasValidShort = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Show labels
if showLabels
if hasValidLong
label.new(bar_index, low - offset, "LONG",
style=label.style_label_up,
color=longColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
if hasValidShort
label.new(bar_index, high + offset, "SHORT",
style=label.style_label_down,
color=shortColor,
textcolor=color.white,
size=labelSize == "tiny" ? size.tiny :
labelSize == "small" ? size.small : size.normal)
// Alerts
if enableAlerts
if hasValidLong
alert("Long Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
if hasValidShort
alert("Short Signal Validated | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
// Hidden exports
plot(hasValidLong ? 1 : 0, "Valid Long", display=display.none)
plot(hasValidShort ? 1 : 0, "Valid Short", display=display.none)
```
---
## SQV Strategy Bridge
### //@version=6
### strategy("SQV Strategy Bridge", overlay=true, ...)
### Purpose
The Strategy Bridge executes trades with SQV validation, enabling backtesting and live trading with quality-filtered signals. It can receive position sizing, stop loss, and take profit levels from your strategy.
### Features
- Automated trade execution with SQV validation
- Dynamic position sizing support
- Stop loss and take profit integration
- Position status display
- Alert system for trade notifications
### Setup Instructions
1. **Prepare Your Strategy**
- Export required values as plots (see examples below)
- Ensure signals are clear (1 for entry, 0 for no signal)
2. **Add SQV Lite**
- Add SQV Lite indicator to the chart
- Configure validation parameters
3. **Add Strategy Bridge**
- Add "SQV Strategy Bridge" to chart
- Connect all required sources
### Source Connections
#### Required Sources
- **Long Signal Source** → Your strategy's long signal
- **Short Signal Source** → Your strategy's short signal
- **SQV Long Valid** → From SQV Lite
- **SQV Short Valid** → From SQV Lite
- **SQV Score** → From SQV Lite
#### Optional Sources (Advanced)
- **Position Size Source** → Dynamic position sizing
- **Long/Short Stop Loss** → Stop loss prices
- **Long/Short Take Profit** → Take profit prices
### Configuration Options
#### Position Management
- **Use Position Size from Strategy**: Enable dynamic sizing
- **Default Position Size %**: Fallback size (0.1-100%)
#### Risk Management
- **Use Stop Loss from Strategy**: Enable dynamic stops
- **Use Take Profit from Strategy**: Enable dynamic targets
### Example Code (Add to Your Strategy)
```pinescript
// Basic signal export
plot(buySignal ? 1 : 0, "Long Signal", display=display.none)
plot(sellSignal ? 1 : 0, "Short Signal", display=display.none)
// Advanced exports (optional)
// Position size (0.1 = 10% of equity)
plot(myPositionSize, "Position Size Output", display=display.none)
// Stop loss prices
plot(longStopPrice, "Long Stop Price", display=display.none)
plot(shortStopPrice, "Short Stop Price", display=display.none)
// Take profit prices
plot(longTPPrice, "Long TP Price", display=display.none)
plot(shortTPPrice, "Short TP Price", display=display.none)
```
### Complete Strategy Bridge Code
```pinescript
//@version=6
strategy("SQV Strategy Bridge",
overlay=true,
initial_capital=10000,
default_qty_type=strategy.percent_of_equity,
default_qty_value=10,
commission_type=strategy.commission.percent,
commission_value=0.1)
// ===================================================================
// SQV STRATEGY BRIDGE - SIMPLE VERSION
// Version 1.0
//
// Receives everything from your strategy:
// - Signals (when to trade)
// - Position size (how much to trade)
// - Stop loss levels (optional)
// - Take profit levels (optional)
//
// Bridge only executes trades with SQV validation
// ===================================================================
// ===================================================================
// SIGNAL SOURCES
// ===================================================================
longSignal = input.source(close, "Long Signal Source", group="Signal Sources",
tooltip="Connect to Long Signal from your strategy")
shortSignal = input.source(close, "Short Signal Source", group="Signal Sources",
tooltip="Connect to Short Signal from your strategy")
// ===================================================================
// SQV SOURCES
// ===================================================================
sqvLongValid = input.source(close, "SQV Long Valid", group="SQV Sources")
sqvShortValid = input.source(close, "SQV Short Valid", group="SQV Sources")
sqvScore = input.source(close, "SQV Score", group="SQV Sources")
// ===================================================================
// POSITION SIZE SOURCES (FROM YOUR STRATEGY)
// ===================================================================
usePositionFromStrategy = input.bool(false, "Use Position Size from Strategy", group="Position")
positionSizeSource = input.source(close, "Position Size Source", group="Position",
tooltip="Your strategy should export position size (% or fixed quantity)")
defaultPositionSize = input.float(10, "Default Position Size %", minval=0.1, maxval=100, group="Position",
tooltip="Used if 'Use Position Size from Strategy' is disabled")
// ===================================================================
// STOP LOSS SOURCES (FROM YOUR STRATEGY)
// ===================================================================
useStopFromStrategy = input.bool(false, "Use Stop Loss from Strategy", group="Risk Management")
longStopSource = input.source(close, "Long Stop Loss Price", group="Risk Management",
tooltip="Your strategy should export exact stop price for longs")
shortStopSource = input.source(close, "Short Stop Loss Price", group="Risk Management",
tooltip="Your strategy should export exact stop price for shorts")
// ===================================================================
// TAKE PROFIT SOURCES (FROM YOUR STRATEGY)
// ===================================================================
useTakeProfitFromStrategy = input.bool(false, "Use Take Profit from Strategy", group="Risk Management")
longTakeProfitSource = input.source(close, "Long Take Profit Price", group="Risk Management",
tooltip="Your strategy should export exact TP price for longs")
shortTakeProfitSource = input.source(close, "Short Take Profit Price", group="Risk Management",
tooltip="Your strategy should export exact TP price for shorts")
// ===================================================================
// ALERTS
// ===================================================================
enableAlerts = input.bool(true, "Enable Alerts", group="Alerts")
// ===================================================================
// TRADING LOGIC
// ===================================================================
// Check signals with SQV validation
hasLongSignal = longSignal > 0 and sqvLongValid > 0 and barstate.isconfirmed
hasShortSignal = shortSignal > 0 and sqvShortValid > 0 and barstate.isconfirmed
// Position state
inLong = strategy.position_size > 0
inShort = strategy.position_size < 0
// Get position size
getPositionSize() =>
if usePositionFromStrategy and positionSizeSource > 0
positionSizeSource
else
defaultPositionSize / 100
// LONG ENTRY
if hasLongSignal and not inLong
if inShort
strategy.close("Short")
qty = getPositionSize()
strategy.entry("Long", strategy.long, qty=qty)
// Set exit orders if provided by strategy
if useStopFromStrategy or useTakeProfitFromStrategy
stopPrice = useStopFromStrategy and longStopSource > 0 ? longStopSource : na
tpPrice = useTakeProfitFromStrategy and longTakeProfitSource > 0 ? longTakeProfitSource : na
if not na(stopPrice) or not na(tpPrice)
strategy.exit("Long Exit", "Long", stop=stopPrice, limit=tpPrice)
if enableAlerts
alert("Long Entry | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
// SHORT ENTRY
if hasShortSignal and not inShort
if inLong
strategy.close("Long")
qty = getPositionSize()
strategy.entry("Short", strategy.short, qty=qty)
// Set exit orders if provided by strategy
if useStopFromStrategy or useTakeProfitFromStrategy
stopPrice = useStopFromStrategy and shortStopSource > 0 ? shortStopSource : na
tpPrice = useTakeProfitFromStrategy and shortTakeProfitSource > 0 ? shortTakeProfitSource : na
if not na(stopPrice) or not na(tpPrice)
strategy.exit("Short Exit", "Short", stop=stopPrice, limit=tpPrice)
if enableAlerts
alert("Short Entry | Score: " + str.tostring(sqvScore, "#"), alert.freq_once_per_bar_close)
// ===================================================================
// POSITION INFO
// ===================================================================
var label infoLabel = label.new(bar_index, high, "", style=label.style_label_left)
if barstate.islast
posText = "Bridge Status "
posText := inLong ? posText + "Position: LONG " : inShort ? posText + "Position: SHORT " : posText + "Position: FLAT "
posText := "SQV Score: " + str.tostring(sqvScore, "#")
label.set_xy(infoLabel, bar_index + 1, high)
label.set_text(infoLabel, posText)
label.set_color(infoLabel, inLong ? color.new(color.green, 80) : inShort ? color.new(color.red, 80) : color.new(color.gray, 80))
label.set_textcolor(infoLabel, color.white)
// ===================================================================
// HOW TO EXPORT FROM YOUR STRATEGY:
//
// // In your strategy, export these values:
//
// // Position size (% as decimal: 0.1 = 10%, or fixed: 0.2 = 0.2 BTC)
// plot(myPositionSize, "Position Size Output", display=display.none)
//
// // Stop loss prices
// plot(longStopPrice, "Long Stop Price", display=display.none)
// plot(shortStopPrice, "Short Stop Price", display=display.none)
//
// // Take profit prices
// plot(longTPPrice, "Long TP Price", display=display.none)
// plot(shortTPPrice, "Short TP Price", display=display.none)
// ===================================================================
```
---
## Quick Start Guide
### For Indicators (Visual Signals)
1. Add these three indicators in order:
- Your trading indicator
- SQV Lite
- SQV Indicator Bridge
2. In Bridge settings, connect:
- Signal sources from your indicator
- Validation sources from SQV Lite
3. Adjust visual settings to preference
### For Strategies (Automated Trading)
1. Modify your strategy to export signals:
```pinescript
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
2. Add to chart:
- Your modified strategy (as indicator)
- SQV Lite
- SQV Strategy Bridge
3. Connect all sources in Bridge settings
4. Run backtest or enable live trading
---
## Tips & Best Practices
### Signal Quality
- SQV validates signals based on 5 market components (7 in full version)
- Only signals with sufficient quality score pass validation
- Adjust SQV settings to match your trading style
### Position Sizing
- Default sizing uses percentage of equity
- Advanced users can export dynamic sizing from strategy
- Size based on signal quality or market conditions
### Risk Management
- Always use stop losses (manual or from strategy)
- Consider using SQV's quality score for position sizing
- Monitor win rate and Sharpe ratio in SQV dashboard (full version)
### Troubleshooting
- **No signals showing**: Check source connections
- **Too few signals**: Lower SQV minimum score
- **Too many signals**: Increase SQV requirements
- **Backtest issues**: Ensure strategy calculations match
---
## Example Setups
### Simple Moving Average Cross + SQV
```pinescript
// In your indicator
ma_fast = ta.sma(close, 20)
ma_slow = ta.sma(close, 50)
longSignal = ta.crossover(ma_fast, ma_slow)
shortSignal = ta.crossunder(ma_fast, ma_slow)
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
```
### RSI Strategy with Dynamic Stops
```pinescript
// In your strategy
rsi = ta.rsi(close, 14)
longSignal = rsi < 30
shortSignal = rsi > 70
// Dynamic stops based on ATR
atr = ta.atr(14)
longStop = close - (atr * 2)
shortStop = close + (atr * 2)
// Export everything
plot(longSignal ? 1 : 0, "Long Signal", display=display.none)
plot(shortSignal ? 1 : 0, "Short Signal", display=display.none)
plot(longStop, "Long Stop Price", display=display.none)
plot(shortStop, "Short Stop Price", display=display.none)
```
---
## Advanced Features
### Multi-Timeframe Validation
SQV automatically checks higher timeframes for confluence, improving signal reliability (Full version only).
### Adaptive Profiles
Use "Auto" profile in SQV for dynamic parameter adjustment based on market conditions (Full version only).
### Performance Tracking
SQV tracks win rate, Sharpe ratio, and other metrics to ensure consistent performance (Full version only).
### Order Flow Analysis
Validates signals using volume delta and buying/selling pressure (included in Lite version).
---
## Upgrade to SQV Full Version
### Enhanced Capabilities in Full Version
The complete SQV system extends validation capabilities with advanced components:
#### 🎯 **Performance Analytics Component**
- Real-time Sharpe Ratio calculation
- Win rate tracking with confidence intervals
- Risk-adjusted performance metrics
- Adaptive threshold adjustments
#### ⚡ **Impulse Detection with Trap Analysis**
- Advanced momentum surge detection
- Market manipulation identification
- False breakout filtering
- Volume/price divergence analysis
#### 📊 **Multi-Timeframe Confluence**
- Three-timeframe trend alignment
- Higher timeframe confirmation requirements
- Confluence strength scoring
- Directional bias validation
#### 🎰 **Dynamic Position Sizing**
- Automatic position multipliers based on signal quality
- Grade A+ signals (90+) = Maximum multiplier
- Grade A signals (80-89) = Scaled multiplier
- Grade B signals (65-79) = Base position size
- Risk-adjusted position management
- Sharpe-influenced adjustments
#### 🔄 **Auto Mode**
- Market-adaptive parameter optimization
- Dynamic weight redistribution
- Volatility-based threshold adjustments
- Self-calibrating component settings
#### 📈 **Volume Profile Integration**
- Point of Control (POC) identification
- Value Area analysis (VAH/VAL)
- Profile-based support/resistance
- Volume distribution visualization
#### 🛡️ **Recovery Mode**
- Drawdown detection and adaptation
- Conservative validation during recovery
- Gradual threshold normalization
- Performance-based re-engagement
#### 📊 **Extended Visualizations**
- Multiple dashboard layouts
- Component breakdown displays
- Performance statistics panels
- Risk grade assessments
### Why Upgrade?
While SQV Lite provides robust signal validation, the Full Version transforms your trading with:
- **Automated risk management** through dynamic sizing
- **Superior signal filtering** via Impulse and MTF components
- **Performance optimization** with real-time analytics
- **Market adaptation** through Auto Mode
- **Additional dashboard layouts** for complete market insight
The Full Version includes everything in Lite plus seven additional premium components.
---
## 💰 **SQV Full Version Pricing**
### **Monthly Subscription: $29/month**
Get instant access to the complete Signal Quality Validator system with all premium features:
- ✅ All 7 additional advanced components
- ✅ Automatic position sizing optimization
- ✅ Performance analytics & Sharpe tracking
- ✅ Impulse detection with trap analysis
- ✅ Multi-timeframe confluence validation
- ✅ Auto Mode with self-optimization
- ✅ Recovery mode for drawdown management
- ✅ 4 dashboard layouts
- ✅ Lifetime updates included
- ✅ Priority support
**The automatic position sizing feature alone can pay for months of subscription with a single properly-sized winning trade.**
### 📩 **How to Subscribe**
To get access to SQV Full Version:
1. **Send me a DM** on TradingView
2. **Include your TradingView username/ID** in the message
3. Receive payment instructions and access upon confirmation
*Your TradingView ID is required to grant access to the private indicator.*
### 🔧 **Custom Integration Services**
**Need direct integration into your Pine Script strategy?**
For traders requiring seamless library-based integration without the 500-bar limitation:
- Full backtesting on complete price history
- Zero signal delay
- Custom parameter optimization
- Private library implementation
**📩 DM me for custom integration pricing and details**
---
## Support and Updates
- Both bridges are regularly updated
- SQV Lite receives regular maintenance updates
- For technical questions or feature requests, please reach out through TradingView's messaging system
- Check for new features and improvements in the script descriptions
## Disclaimer
Signal Quality Validator provides technical analysis assistance only. All trading decisions remain the sole responsibility of the user. Past performance does not guarantee future results. Trade responsibly and within your risk tolerance.
*Note: This system is designed for educational purposes. Always test thoroughly before live trading.*
52SIGNAL RECIPE CME Gap Support & Resistance Detector═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ Overview
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is an advanced technical indicator that automatically detects and visualizes all types of price gaps occurring in the CME Bitcoin futures market on trading charts. It captures not only gaps formed during weekend and holiday closures, but also those created during the daily 1-hour maintenance period on weekdays, and sudden price gaps resulting from economic indicator releases or news events.
The core value of this indicator lies beyond simply displaying gaps; it visualizes how these price discontinuities act as powerful support and resistance zones that influence future price movements. In real markets, these CME gaps have a high probability of either being "filled" or functioning as important reaction zones, providing traders with valuable entry and exit signals.
─────────────────────────────────────
◆ Key Features
• Comprehensive Gap Detection: Detects gaps in all market conditions
- Weekend/holiday closure gaps
- Weekday 1-hour maintenance period gaps
- Gaps from economic indicators/news events causing rapid price changes
• Intuitive Color Coding:
- Blue: When gaps act as support (price is above the gap)
- Red: When gaps act as resistance (price is below the gap)
- Gray: Filled gaps (price has completely passed through the gap area)
• Real-time Role Switching: Automatically changes colors as price moves above/below gaps, visualizing support↔resistance role transitions
• Status Tracking System: Automatically tracks whether gaps are "Filled" or "Unfilled"
• Dynamic Boxes: Clearly marks gap areas with boxes and dynamically changes colors based on price movement
• Precise Labeling: Accurately displays the price range of each gap to support trader decision-making
• Smart Filtering: Improved algorithm that solves consecutive gap detection issues for complete gap tracking
• Key Usage Points:
- Pay special attention when price approaches gap areas
- Color changes in gaps signal important market sentiment shifts
- Areas with multiple clustered gaps are particularly strong reaction zones
─────────────────────────────────────
◆ User Guide: Understanding Gap Roles Through Colors
■ Color System Interpretation
• Blue Gaps (Support Role):
▶ Meaning: Current price is above the gap, making the gap act as support
▶ Trading Application: Consider buying opportunities when price approaches blue gap areas
▶ Psychological Meaning: Buying pressure likely to increase at this price level
• Red Gaps (Resistance Role):
▶ Meaning: Current price is below the gap, making the gap act as resistance
▶ Trading Application: Consider selling opportunities when price approaches red gap areas
▶ Psychological Meaning: Selling pressure likely to increase at this price level
• Gray Gaps (Filled Gaps):
▶ Meaning: Price has completely passed through the gap area, filling the gap
▶ Reference Value: Still valuable as reference for past important reaction zones
▶ Trading Application: Used to confirm trend strength and identify key psychological levels
■ Understanding Color Transitions
• Blue → Red Transition:
▶ Meaning: Price has fallen below the gap, changing its role from support to resistance
▶ Market Interpretation: Breakdown of previous support strengthens bearish signals
▶ Trading Application: Consider potential further decline; check gap bottom as resistance during bounces
• Red → Blue Transition:
▶ Meaning: Price has risen above the gap, changing its role from resistance to support
▶ Market Interpretation: Breakout above previous resistance strengthens bullish signals
▶ Trading Application: Consider potential further rise; check gap top as support during pullbacks
─────────────────────────────────────
◆ Practical Application Guide
■ Basic Trading Scenarios
• Blue Gap Support Strategy:
▶ Entry Point: When price approaches the top of a blue gap and forms a bounce candle
▶ Stop Loss: Below the gap bottom (if price completely breaks down through the gap)
▶ Take Profit: Previous swing high or next resistance level above
▶ Probability Enhancers: Gap aligned with major moving averages, oversold RSI, strong bounce candle pattern
• Red Gap Resistance Strategy:
▶ Entry Point: When price approaches the bottom of a red gap and forms a rejection candle
▶ Stop Loss: Above the gap top (if price completely breaks up through the gap)
▶ Take Profit: Previous swing low or next support level below
▶ Probability Enhancers: Gap aligned with major moving averages, overbought RSI, strong rejection candle pattern
■ Advanced Pattern Applications
• Multiple Gap Cluster Identification:
▶ Several gaps in close price proximity form extremely powerful support/resistance zones
▶ Same-color gap clusters: Very strong single-direction reaction zones
▶ Mixed-color gap clusters: High volatility zones with bidirectional reactions expected
• Gap Sequence Analysis:
▶ Consecutive same-direction gaps: Strong trend confirmation signal
▶ Increasing gap size pattern: Trend acceleration signal
▶ Decreasing gap size pattern: Trend weakening signal
• News/Indicator Release Gap Utilization:
▶ Gaps formed immediately after economic indicators: Measure market shock intensity
▶ Gap color change observation: Track market reinterpretation of news
▶ Gap filling speed analysis: Evaluate news impact duration
• Key Attention Points:
▶ Pay special attention to the chart whenever price approaches gap areas
▶ Gap color changes signal important market sentiment shifts
▶ Areas with multiple concentrated gaps are likely to show strong price reactions
─────────────────────────────────────
◆ Technical Foundation
■ CME Gap Formation Principles
• Key Gap Formation Scenarios:
▶ Weekend Closures (Friday close → Monday open): Most common CME gap formation point
▶ Holiday Closures: Gaps occurring due to CME closures on US holidays
▶ Weekday 1-hour Maintenance: Gaps during daily CME maintenance period (16:00-17:00 CT)
▶ Major Economic Indicator Releases: Gaps from rapid price changes during US employment reports, FOMC decisions, CPI releases, etc.
▶ Significant News Events: Gaps from regulatory announcements, geopolitical events, market shocks, etc.
• Psychological Importance of Gaps:
▶ Zones where price formation did not occur, representing imbalance between buying/selling forces
▶ Gap areas have no actual trading, resulting in accumulated potential orders
▶ Reflect institutional investor positions and liquidity distribution in the CME futures market
■ Support/Resistance Mechanism
• Psychological Level Formation Mechanism:
▶ Unexecuted order accumulation in gap areas: Loss of ordering opportunity at those price levels
▶ Liquidity imbalance: No trading occurred in gap areas, creating liquidity voids
▶ Institutional activity: Institutional participants in CME futures markets pay attention to these gap areas
• Evidence of Support/Resistance Function:
▶ Statistical gap fill phenomenon: Most gaps eventually "fill" (price returns to gap area)
▶ Gap-based reactions: Increased frequency of price reactions (bounces/rejections) when reaching gap areas
▶ Market psychology impact: Influences traders' perceived value and fair price assessment
─────────────────────────────────────
◆ Advanced Configuration Options
■ Visualization Settings
• Show Gap Labels (Default: On)
▶ On: Displays price ranges of each gap numerically for precise support/resistance level identification
▶ Off: Hides labels for visual cleanliness
• Color Settings
▶ Filled Gap Color: Gray tones, shows gaps already traversed by price
▶ Unfilled Gap Color - Support: Blue, shows gaps currently acting as support
▶ Unfilled Gap Color - Resistance: Red, shows gaps currently acting as resistance
■ Data Management Settings
• Filled Gap Storage Limit (Default: 10)
▶ Sets maximum number of filled gaps to retain on chart
▶ Recommended settings: Short-term traders (5-8), Swing traders (8-12), Position traders (10-15)
• Maximum Gap Retention Period (Default: 12 months)
▶ Sets period after which old unfilled gaps are automatically removed
▶ Recommended settings: Short-term analysis (3-6 months), Medium-term analysis (6-12 months), Long-term analysis (12-24 months)
─────────────────────────────────────
◆ Synergy with Other Indicators
• Volume Profile: Greatly increased reaction probability when CME gaps align with Volume Profile value areas
• Fibonacci Retracements: Formation of powerful reaction zones when major Fibonacci levels coincide with gap areas
• Moving Averages: Areas where major moving averages overlap with CME gaps act as "composite support/resistance"
• Horizontal Support/Resistance: Very strong price reactions expected when historical key price levels align with CME gaps
• Market Sentiment Indicators (RSI/MACD): Assess reaction probability by checking oversold/overbought conditions when price approaches gap areas
─────────────────────────────────────
◆ Conclusion
The 52SIGNAL RECIPE CME Gap Support & Resistance Detector is not merely a gap display tool, but an advanced analytical tool that visualizes important support/resistance areas where price may strongly react, using intuitive color codes (blue=support, red=resistance). It detects all types of gaps without omission, whether from weekend and holiday closures, weekday 1-hour maintenance periods, important economic indicator releases, or market shock situations.
The core value of this indicator lies in clearly expressing through intuitive color coding that gaps are not simple price discontinuities, but psychological support/resistance areas that significantly influence future price action. Traders can instantly identify areas where blue gaps act as support and red gaps act as resistance, enabling quick and effective decision-making.
By referencing the color codes when price approaches gap areas to predict possible price reactions, and especially interpreting color transition moments (blue→red or red→blue) as signals of important market sentiment changes and integrating them into trading strategies, traders can capture higher-probability trading opportunities.
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※ Disclaimer: Like all trading tools, the CME Gap Detector should be used as a supplementary indicator and not relied upon alone for trading decisions. Past gap reaction patterns cannot guarantee the same behavior in the future. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE CME Gap Support & Resistance Detector ═══
◆ 개요
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 CME 비트코인 선물 시장에서 발생하는 모든 유형의 가격 갭(Gap)을 자동으로 감지하여 트레이딩 차트에 시각화하는 고급 기술적 지표입니다. 주말과 공휴일 휴장은 물론, 평일 1시간 휴장 시간, 그리고 중요 경제지표 발표나 뉴스 이벤트 시 발생하는 급격한 가격 갭까지 누락 없이 포착합니다.
이 인디케이터의 핵심 가치는 단순히 갭을 표시하는 것을 넘어, 이러한 가격 불연속성이 미래 가격 움직임에 영향을 미치는 강력한 지지(Support)와 저항(Resistance) 영역으로 작용한다는 원리를 시각화하는 데 있습니다. 실제 시장에서 이러한 CME 갭은 높은 확률로 미래에 "매꿔지거나" 중요한 반응 구간으로 기능하여 트레이더에게 귀중한 진입/퇴출 신호를 제공합니다.
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◆ 주요 특징
• 전방위 갭 감지: 모든 시장 조건에서 발생하는 갭을 감지
- 주말/공휴일 휴장 갭
- 평일 1시간 휴장 시간 갭
- 경제지표/뉴스 이벤트 시 급격한 가격 변동 갭
• 직관적 색상 구분:
- 파란색: 갭이 지지 역할을 할 때(가격이 갭 위에 있을 때)
- 빨간색: 갭이 저항 역할을 할 때(가격이 갭 아래에 있을 때)
- 회색: 이미 매꿔진 갭(가격이 갭 영역을 완전히 통과)
• 실시간 역할 전환: 가격이 갭 위/아래로 이동함에 따라 지지↔저항 역할 전환을 자동으로 색상 변경으로 시각화
• 상태 추적 시스템: 갭이 "매꿔짐(Filled)" 또는 "매꿔지지 않음(Unfilled)" 상태를 자동 추적
• 다이나믹 박스: 갭 영역을 명확한 박스로 표시하고 가격 움직임에 따라 동적으로 색상 변경
• 정밀 레이블링: 각 갭의 가격 범위를 정확히 표시하여 트레이더의 의사결정 지원
• 스마트 필터링: 연속적 갭 감지 문제를 해결하는 개선된 알고리즘으로 누락 없는 갭 추적
• 핵심 활용 포인트:
- 가격이 갭 영역에 접근할 때 특별히 주목하세요
- 갭 색상 변경 시점은 중요한 시장 심리 변화 신호입니다
- 여러 갭이 밀집된 영역은 특히 강한 반응이 예상되는 구간입니다
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◆ 사용 가이드: 색상으로 이해하는 갭 역할
■ 색상 시스템 해석법
• 파란색 갭 (지지 역할):
▶ 의미: 현재 가격이 갭 위에 있어 갭이 지지선으로 작용
▶ 트레이딩 응용: 가격이 파란색 갭 영역으로 하락 접근 시 매수 기회 고려
▶ 심리적 의미: 매수세력이 이 가격대에서 수요 증가 가능성
• 빨간색 갭 (저항 역할):
▶ 의미: 현재 가격이 갭 아래에 있어 갭이 저항선으로 작용
▶ 트레이딩 응용: 가격이 빨간색 갭 영역으로 상승 접근 시 매도 기회 고려
▶ 심리적 의미: 매도세력이 이 가격대에서 공급 증가 가능성
• 회색 갭 (매꿔진 갭):
▶ 의미: 가격이 갭 영역을 완전히 통과하여 갭이 매꿔진 상태
▶ 참조 가치: 과거 중요 반응 구간으로 여전히 참고 가치 있음
▶ 트레이딩 응용: 추세 강도 확인 및 주요 심리적 레벨 식별에 활용
■ 색상 전환 이해하기
• 파란색 → 빨간색 전환:
▶ 의미: 가격이 갭 아래로 하락하여 갭이 지지에서 저항으로 역할 변경
▶ 시장 해석: 이전 지지선 붕괴로 약세 신호 강화
▶ 트레이딩 응용: 추가 하락 가능성 고려, 반등 시 갭 하단 저항 확인
• 빨간색 → 파란색 전환:
▶ 의미: 가격이 갭 위로 상승하여 갭이 저항에서 지지로 역할 변경
▶ 시장 해석: 이전 저항선 돌파로 강세 신호 강화
▶ 트레이딩 응용: 추가 상승 가능성 고려, 조정 시 갭 상단 지지 확인
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◆ 실전 활용 가이드
■ 기본 트레이딩 시나리오
• 파란색 갭 지지 전략:
▶ 진입 시점: 가격이 파란색 갭 상단에 접근하여 반등 캔들 형성 시
▶ 손절 위치: 갭 하단 아래(갭 완전히 하향 돌파 시)
▶ 이익실현: 이전 스윙 고점 또는 상방 다음 저항선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매도 RSI, 강한 반등 캔들
• 빨간색 갭 저항 전략:
▶ 진입 시점: 가격이 빨간색 갭 하단에 접근하여 거부 캔들 형성 시
▶ 손절 위치: 갭 상단 위(갭 완전히 상향 돌파 시)
▶ 이익실현: 이전 스윙 저점 또는 하방 다음 지지선
▶ 확률 증가 조건: 갭과 주요 이동평균선 일치, 과매수 RSI, 강한 거부 캔들
■ 고급 패턴 활용법
• 다중 갭 클러스터 식별:
▶ 여러 갭이 근접한 가격대에 있다면 더욱 강력한 지지/저항 존
▶ 동일 색상 갭 클러스터: 매우 강력한 단일 방향 반응 구간
▶ 색상 혼합 갭 클러스터: 심한 변동성과 양방향 반응 예상 구간
• 갭 시퀀스 분석:
▶ 연속적인 동일 방향 갭: 강한 추세 확인 신호
▶ 갭 크기 증가 패턴: 추세 가속화 신호
▶ 갭 크기 감소 패턴: 추세 약화 신호
• 뉴스/지표 발표 후 갭 활용:
▶ 경제지표 발표 직후 형성된 갭: 시장 충격 강도 측정
▶ 갭 색상 변화 관찰: 시장의 뉴스 재해석 과정 파악
▶ 갭 매꿈 속도 분석: 뉴스 임팩트의 지속성 평가
• 핵심 주목 포인트:
▶ 가격이 갭 영역에 접근할 때마다 차트를 특별히 주목하세요
▶ 갭 색상이 변경되는 시점은 중요한 시장 심리 변화를 의미합니다
▶ 여러 갭이 밀집된 영역은 가격이 강하게 반응할 가능성이 높습니다
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◆ 기술적 기반
■ CME 갭의 발생 원리
• 주요 갭 발생 상황:
▶ 주말 휴장 (금요일 종가 → 월요일 시가): 가장 일반적인 CME 갭 형성 시점
▶ 공휴일 휴장: 미국 공휴일에 따른 CME 휴장 시 발생
▶ 평일 1시간 휴장: CME 시장의 일일 정비 시간(16:00~17:00 CT) 동안 발생
▶ 주요 경제지표 발표: 미 고용지표, FOMC 결정, CPI 등 발표 시 급격한 가격 변동으로 인한 갭
▶ 중요 뉴스 이벤트: 규제 발표, 지정학적 이벤트, 시장 충격 등으로 인한 급격한 가격 변화
• 갭의 심리적 중요성:
▶ 가격 형성이 이루어지지 않은 구간으로, 매수/매도 세력의 불균형 영역
▶ 갭 구간에는 실제 거래가 없었기 때문에 잠재적 주문이 누적되는 영역
▶ 기관 투자자들의 선물 포지션과 유동성 분포가 반영된 중요한 가격 레벨
■ 지지/저항으로 작용하는 원리
• 심리적 레벨 형성 메커니즘:
▶ 갭 구간의 미실행 주문 축적: 갭 발생 시 해당 가격대에 대한 주문 기회 상실
▶ 유동성 불균형: 갭 구간에는 거래가 없었으므로 유동성 공백 발생
▶ 기관 투자자 활동: CME 선물 시장의 기관 참여자들은 이러한 갭 영역에 관심
• 지지/저항 작용 증거:
▶ 통계적 갭 필 현상: 대부분의 갭은 미래에 "매꿔짐"(가격이 갭 구간으로 회귀)
▶ 갭 기반 반응: 갭 영역에 도달 시 가격 반응(반등/거부) 발생 빈도 증가
▶ 시장 심리 영향: 트레이더들의 인지된 가치와 공정가격 평가에 영향
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◆ 고급 설정 옵션
■ 시각화 설정
• 라벨 표시 설정 (Show Gap Labels) (기본값: 켜짐)
▶ 켜짐: 각 갭의 가격 범위를 숫자로 표시하여 정확한 지지/저항 레벨 확인
▶ 꺼짐: 시각적 깔끔함을 위해 라벨 숨김
• 색상 설정
▶ 매꿔진 갭 색상(Filled Gap Color): 회색 계열, 이미 가격이 통과한 갭 표시
▶ 미매꿔진 갭 색상 - 지지(Support): 파란색, 현재 지지 역할을 하는 갭
▶ 미매꿔진 갭 색상 - 저항(Resistance): 빨간색, 현재 저항 역할을 하는 갭
■ 데이터 관리 설정
• 매꿔진 갭 저장 한도 (Filled Gap Storage Limit) (기본값: 10)
▶ 이미 매꿔진 갭을 최대 몇 개까지 차트에 유지할지 설정
▶ 권장 설정: 단기 트레이더(5-8), 스윙 트레이더(8-12), 포지션 트레이더(10-15)
• 최대 갭 보관 기간 (Maximum Gap Retention Period) (기본값: 12개월)
▶ 오래된 미매꿔진 갭을 자동으로 제거하는 기간 설정
▶ 권장 설정: 단기 분석(3-6개월), 중기 분석(6-12개월), 장기 분석(12-24개월)
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◆ 다른 지표와의 시너지
• 볼륨 프로파일: CME 갭과 볼륨 프로파일의 밸류 영역 일치 시 반응 확률 크게 증가
• 피보나치 리트레이스먼트: 주요 피보나치 레벨과 갭 영역 일치 시 강력한 반응 존 형성
• 이동평균선: 주요 이동평균선과 CME 갭이 겹치는 영역은 "복합 지지/저항"으로 작용
• 수평 지지/저항: 과거 중요 가격대와 CME 갭 일치 시 매우 강력한 가격 반응 예상 가능
• 시장 심리 지표(RSI/MACD): 갭 영역 접근 시 과매수/과매도 확인으로 반응 가능성 판단
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◆ 결론
52SIGNAL RECIPE CME Gap Support & Resistance Detector는 단순한 갭 표시 도구가 아닌, 가격이 강하게 반응할 수 있는 중요한 지지/저항 영역을 직관적인 색상 코드(파란색=지지, 빨간색=저항)로 시각화하는 고급 분석 도구입니다. 주말과 공휴일 휴장 시간뿐만 아니라, 평일 1시간 휴장 시간, 중요 경제지표 발표, 그리고 시장 충격 상황에서 발생하는 모든 유형의 갭을 누락 없이 감지합니다.
인디케이터의 핵심 가치는 갭이 단순한 가격 불연속성이 아닌, 미래 가격 행동에 중요한 영향을 미치는 심리적 지지/저항 영역임을 직관적인 색상 코드로 명확히 표현하는 데 있습니다. 파란색 갭은 지지 역할을, 빨간색 갭은 저항 역할을 하는 영역을 즉각적으로 식별할 수 있어 트레이더가 빠르고 효과적인 의사결정을 내릴 수 있도록 도와줍니다.
갭 영역에 접근할 때마다 색상 코드를 참고하여 가능한 가격 반응을 예측하고, 특히 색상 전환이 일어나는 순간(파란색→빨간색 또는 빨간색→파란색)은 중요한 시장 심리 변화 신호로 해석하여 트레이딩 전략에 통합한다면, 더 높은 확률의 거래 기회를 포착할 수 있을 것입니다.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, CME Gap Detector는 보조 지표로 사용되어야 하며 단독으로 거래 결정을 내리는 데 사용해서는 안 됩니다. 과거의 갭 반응 패턴이 미래에도 동일하게 작용한다고 보장할 수 없습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
No Supply No Demand (NSND) – Volume Spread Analysis ToolThis indicator is designed for traders utilizing Volume Spread Analysis (VSA) techniques. It automatically detects potential No Demand (ND) and No Supply (NS) candles based on volume and price behavior, and confirms them using future price action within a user-defined number of lookahead bars.
Confirmed No Demand (ND): Detected when a bullish candle has volume lower than the previous two bars and is followed by weakness (next highs swept, close below).
Confirmed No Supply (NS): Detected when a bearish candle has volume lower than the previous two bars and is followed by strength (next lows swept, close above).
Adjustable lookahead bars parameter to control the confirmation window.
This tool helps identify potential distribution (ND) and accumulation (NS) areas, providing early signs of market turning points based on professional volume logic. The dot appears next to ND or NS.
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Never miss a high-probability 0DTE setup again.
💎 Want the FULL version?
This is a limited free release.
Join QuantSignals Discord for:
Real-time options flow & gamma exposure
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📱 Join the Community
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⚡ Trade 0DTE like the pros. Powered by QuantSignals AI.
🎯 QuantSignals AI VWAP Pro🎯 QuantSignals AI VWAP Pro — Trade Like Institutions with AI Precision
📌 Description:
QuantSignals AI VWAP Pro is your edge in the markets — a professional-grade VWAP toolkit enhanced with AI signal generation, dynamic volume analysis, institutional band tracking, and real-time dashboards.
Built for day traders, swing traders, and institutions, this limited free version delivers intelligent entries & exits with AI-enhanced VWAP signals.
🚨 Want more? Full source code, premium indicators, and hedge-fund-grade VWAP tools are available in the QuantSignals Discord community!
🌟 Key Features:
✅ AI-Powered VWAP Signals
→ High-probability BUY/SELL alerts based on smart volume + trend filters.
✅ Dynamic VWAP Bands
→ Adaptive upper/lower bands based on real-time volatility & institutional volume.
✅ Multi-Timeframe VWAP (MTF)
→ View weekly & monthly VWAP levels used by pros (toggleable).
✅ Live QS Dashboard
→ Displays signal strength, VWAP distance %, volume context & price stats.
✅ Smart Alerts System
→ Instantly alerts for VWAP crossovers, band breaks, and institutional moves.
✅ Polished Chart Experience
→ Minimal clutter, modern visuals, premium color scheme, optimized UX.
🔐 Limited Free Version Includes:
AI Signal Engine (basic version)
Institutional Band Levels
Live Dashboard
3 Types of VWAP Alerts
Clean Entry/Exit Plots
💎 Premium Version (in Discord):
Full Source Code
Institutional VWAP Models
Real-Time Volume Sentiment Engine
Multi-Asset VWAP Correlation
Automated Strategy Support
Pro Backtesting Templates
Full QS Indicator Suite
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QuantSignals VWAP tools are used by hedge funds, quant traders, and pro retail traders worldwide.
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📢 Setup Instructions:
Add to chart ✅
Toggle on signals, bands, and dashboard 📈
Set alert conditions for key events 🔔
Use with volume + price action context
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🚀 Trade Smarter. Trade Faster. Trade with AI.
"Retail uses moving averages. Institutions use VWAP. We use AI + VWAP."
🚀 QuantSignals AI Trend Pro 15M🚀 QuantSignals AI Trend Pro 15M
Welcome to QuantSignals AI Trend Pro, the ultimate AI-powered trend and signal system designed for serious day traders and scalpers.
🔒 This is a closed-source invite-only script. Only approved users may access this strategy.
🔍 What is it?
QuantSignals AI Trend Pro uses proprietary machine learning logic and smart signal filters to detect high-probability entries and exits on the 15-minute timeframe.
Designed by real traders, backed by data science, and battle-tested across crypto, forex, and equities.
💡 Key Features
🎯 AI-Powered Signal Engine
Smart buy/sell logic filtered by momentum, volatility, and multi-timeframe confluence.
📈 Smart Trend Strength System
Auto-classifies market into 🚀 Strong Bull, ⚖️ Neutral, or 🔥 Strong Bear zones.
🧠 Visual Dashboard Overlay
Real-time scoreboards for trend status, signal quality, momentum, and volatility.
🎯 Smart Support & Resistance Zones
Auto-calculated pivot levels based on dynamic market structure.
🔔 Built-In Alerts
Get real-time signals directly to your device — ready for TradingView alert automation.
✅ Optimized For:
🕒 15-minute timeframe
🔁 Scalping & Day Trading
💹 Crypto / Stocks / Forex / Futures
💎 How to Get Access?
This is a limited free version of our full QuantSignals system.
To unlock:
🔓 Full algorithm (multi-timeframe + sentiment + volume)
🔔 Real-time signals + smart alerts
📘 Educational content & live strategy sessions
➕ Join our community and request access:
🌐 Website: quantsignals.xyz
💬 Discord: discord.gg
🧠 Who is this for?
Active day traders and scalpers
Traders seeking institutional-grade tools
Anyone tired of fake signal groups and repainting indicators
📉 Disclaimer
This script is for educational and informational purposes only.
Trading carries risk. Use with proper risk management.
OB Entry Signal Pro v.2Indicator Description
The indicator operates in real time to identify key order block zones and generate trading signals, minimizing market noise and enhancing your trading efficiency.
How It Works
Detection of Powerful Swings
The indicator pinpoints local extrema with pronounced wicks, the size of which is calculated using ATR.
Confirmed Zone Retest
Price returns to the swing area within a specified bar window and is validated by a candlestick bounce in the desired direction.
Optional MACD Filtering
When enabled, MACD histogram confirmation filters out false breakouts and helps you enter in the direction of the prevailing trend impulse.
Automatic Visualization and Alerts
Order block zones are drawn directly on the chart, and built‑in `alertcondition` triggers notify you of signals instantly.
Advantages
Live Trading Ready
Calculations occur on each closed bar, making the indicator fully suited for use in live trading.
Precise Adaptation to Any Pair and Timeframe
Swing detection depth and retest parameters can be finely tuned to the characteristics of any cryptocurrency and timeframe.
Minimization of False Signals
An ATR‑based wick filter, optional MACD confirmation, and a minimum‑distance constraint between zones significantly reduce noise and redundant signals.
Proven Effectiveness
In comprehensive backtests, the indicator demonstrated a high win rate, confirming its reliability under varied market conditions.
Enhanced Decision‑Making
Clear graphical zones and integrated alerting accelerate your response to market moves and ensure you never miss critical signals.
Illustrations Across Multiple Timeframes
15m
30m
1H
2H
4H
Important
This indicator is intended as an auxiliary analytical tool and does not guarantee profitable outcomes or absolute forecasting accuracy. It should be used as part of your own trading strategy, taking into account current market conditions, and is not a personal financial recommendation.
CCL INDICATOR🔷 CCL INDICATOR — See the Market with Structure
A powerful mix of mathematical zones, Fibonacci levels, period filters, and session-based logic — all in one clean indicator.
✅ Dynamic support & resistance
✅ Buy/sell signal arrows
✅ Modular: turn features on/off as you like
✅ Alerts, dashboard, and clean visual design
Don’t guess the market — understand it.
Super Trends AiMulti-timeframe trend analysis tool designed for a clean and simple user experience. It plots three distinct zones on the chart based on a Supertrend algorithm that uses Heikin Ashi candle data.
FXG Zone 1: 5-minute timeframe
FXG Zone 2: 15-minute timeframe
FXG Zone 3: 1-hour timeframe
Blue lines represent potential support in an uptrend, while red lines indicate potential resistance in a downtrend. All settings are pre-configured, so you only need to toggle the visibility of each zone.
Capital Cash Line indicator// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
//@version=5
indicator("Capital Cash Line indicator", overlay=true, precision=0, explicit_plot_zorder=true, max_labels_count=500)
//------------------ Capital Cash Line indicator ---------------////
// Get user input
sensitivity = input.int(defval=5, title="Sensitivity", minval=1, maxval=20)
suppRes = input.bool(false, "Support & Resistance")
breaks = input.bool(false, "Breaks")
usePsar = input.bool(false, "PSAR")
emaEnergy = input.bool(true, "EMA Energy")
channelBal = input.bool(true, "Channel Balance")
autoTL = input.bool(false, "Auto Trend Lines")
// Functionsa
supertrend(_src, factor, atrLen) =>
atr = ta.atr(atrLen)
upperBand = _src + factor * atr
lowerBand = _src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or close < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or close > prevUpperBand ? upperBand : prevUpperBand
int direction = na
float superTrend = na
prevSuperTrend = superTrend
if na(atr )
direction := 1
else if prevSuperTrend == prevUpperBand
direction := close > upperBand ? -1 : 1
else
direction := close < lowerBand ? 1 : -1
superTrend := direction == -1 ? lowerBand : upperBand
lr_slope(_src, _len) =>
x = 0.0, y = 0.0, x2 = 0.0, xy = 0.0
for i = 0 to _len - 1
val = _src
per = i + 1
x += per
y += val
x2 += per * per
xy += val * per
_slp = (_len * xy - x * y) / (_len * x2 - x * x)
_avg = y / _len
_int = _avg - _slp * x / _len + _slp
lr_dev(_src, _len, _slp, _avg, _int) =>
upDev = 0.0, dnDev = 0.0
val = _int
for j = 0 to _len - 1
price = high - val
if price > upDev
upDev := price
price := val - low
if price > dnDev
dnDev := price
price := _src
val += _slp
// Get Components
ocAvg = math.avg(open, close)
sma1 = ta.sma(close, 5)
sma2 = ta.sma(close, 6)
sma3 = ta.sma(close, 7)
sma4 = ta.sma(close, 8)
sma5 = ta.sma(close, 9)
sma6 = ta.sma(close, 10)
sma7 = ta.sma(close, 11)
sma8 = ta.sma(close, 12)
sma9 = ta.sma(close, 13)
sma10 = ta.sma(close, 14)
sma11 = ta.sma(close, 15)
sma12 = ta.sma(close, 16)
sma13 = ta.sma(close, 17)
sma14 = ta.sma(close, 18)
sma15 = ta.sma(close, 19)
sma16 = ta.sma(close, 20)
psar = ta.sar(0.02, 0.02, 0.2)
= ta.kc(close, 80, 10.5)
= ta.kc(close, 80, 9.5)
= ta.kc(close, 80, 8)
= ta.kc(close, 80, 3)
= supertrend(close, sensitivity, 11)
barsL = 10
barsR = 10
pivotHigh = fixnan(ta.pivothigh(barsL, barsR) )
pivotLow = fixnan(ta.pivotlow(barsL, barsR) )
source = close, period = 150
= lr_slope(source, period)
= lr_dev(source, period, s, a, i)
// Colors
green = #2BBC4D, green2 = #00DD00
red = #C51D0B, red2 = #DD0000
emaEnergyColor(ma) => emaEnergy ? (close >= ma ? green : red) : na
barcolor(close > supertrend ? #2BE300 : red2)
p3 = plot(ocAvg, "", na, editable=false)
p4 = plot(psar, "PSAR", usePsar ? (close > psar ? green : red) : na, 1, plot.style_circles, editable=false)
fill(p3, p4, usePsar ? (close > psar ? color.new(green, 90) : color.new(red, 90)) : na, editable=false)
y1 = low - (ta.atr(30) * 2), y1B = low - ta.atr(30)
y2 = high + (ta.atr(30) * 2), y2B = high + ta.atr(30)
bull = ta.crossover(close, supertrend) and close >= sma9
bear = ta.crossunder(close, supertrend) and close <= sma9
buy = bull ? label.new(bar_index, y1, "BUY", xloc.bar_index, yloc.price, #2BE300, label.style_label_up, color.white) : na
sell = bear ? label.new(bar_index, y2, "SELL", xloc.bar_index, yloc.price, red2, label.style_label_down, color.white) : na
plot(pivotHigh, "Resistance", not suppRes or ta.change(pivotHigh) ? na : red, 2, offset=-(barsR + 1), editable=false)
plot(pivotLow, "Support", not suppRes or ta.change(pivotLow) ? na : green, 2, offset=-(barsR + 1), editable=false)
upB = breaks and ta.crossover(close, pivotHigh) ? label.new(bar_index, y1B, "B", xloc.bar_index, yloc.price, green, label.style_label_up, color.white, size.small) : na
dnB = breaks and ta.crossunder(close, pivotLow) ? label.new(bar_index, y2B, "B", xloc.bar_index, yloc.price, red, label.style_label_down, color.white, size.small) : na
x1 = bar_index - period + 1, _y1 = i + s * (period - 1), x2 = bar_index, _y2 = i
upperTL = autoTL ? line.new(x1, _y1 + upDev, x2, _y2 + upDev, xloc.bar_index, extend.none, red) : na
line.delete(upperTL )
middleTL = autoTL ? line.new(x1, _y1, x2, _y2, xloc.bar_index, extend.none, color.white) : na
line.delete(middleTL )
lowerTL = autoTL ? line.new(x1, _y1 - dnDev, x2, _y2 - dnDev, xloc.bar_index, extend.none, green) : na
line.delete(lowerTL )
showDashboard = input.bool(true, title='Enable dashboard', inline='dashboard')
dashboardType = ('Advanced dashboard')
xDashBoard = input.int(80, 'dashboard distance', minval=20, maxval=1000, step=10)
// Security function
secSMA(_res) =>
request.security(syminfo.tickerid, showDashboard ? _res : timeframe.period, ta.sma(ohlc4, 200) < close, lookahead=barmerge.lookahead_on)
//}
advDash = dashboardType == 'Advanced dashboard'
// Simple dashboard has the following timeframes in it
// 1. Current
trendCurrent = ta.sma(close, 200) < close ? '🟢' : '🔴'
// 2. 15min
trend15min = secSMA(showDashboard ? '15' : '15') ? '🟢' : '🔴'
// 3. 1hr
trend1hr = secSMA(showDashboard ? '60' : '15') ? '🟢' : '🔴'
// 4. 4hr
trend4hr = secSMA(showDashboard ? '240' : '15') ? '🟢' : '🔴'
// 5. 1D
trend1d = secSMA(showDashboard ? '1D' : '15') ? '🟢' : '🔴'
// Advanced dashboard trends
// 1. 1min
trend1min = secSMA(advDash and showDashboard ? '1' : '15') ? '🟢' : '🔴'
// 2. 3min
trend3min = secSMA(advDash and showDashboard ? '3' : '15') ? '🟢' : '🔴'
// 3. 5min
trend5min = secSMA(advDash and showDashboard ? '5' : '15') ? '🟢' : '🔴'
// 4. 10min
trend10min = secSMA(advDash and showDashboard ? '10' : '15') ? '🟢' : '🔴'
// 5. 30min
trend30min = secSMA(advDash and showDashboard ? '30' : '15') ? '🟢' : '🔴'
// 6. 2hr
trend12hr = secSMA(advDash and showDashboard ? '720' : '15') ? '🟢' : '🔴'
// 7. 12hr
trend2hr = secSMA(advDash and showDashboard ? '120' : '15') ? '🟢' : '🔴'
rsiTrend = ta.rsi(close, 14)
// RSI condition
rsiCond = rsiTrend < 30 ? 'Oversold (' + str.tostring(math.round(rsiTrend, 2)) + ')' : rsiTrend > 70 ? 'Overbought (' + str.tostring(math.round(rsiTrend, 2)) + ')' : 'Healthy (' + str.tostring(math.round(rsiTrend, 2)) + ')'
// ATR function
atrTrend = ta.atr(14)
atrTrendCond = atrTrend > ta.ema(ta.sma(atrTrend, 100), 100) ? 'Trending' : 'Ranging'
btime = int(ta.sma(time - time , 50))
label dashboard = na
if showDashboard
dashboard := label.new(x=time + btime * xDashBoard, y=(ta.highest(20) + ta.lowest(20)) / 2, text='🌿 discord.gg/indicator🌿' + ' Current Trend: ' + trendCurrent + ' Price condition: ' + rsiCond + ' Volume: ' + str.tostring(math.round(volume * close, 2)) + ' ' + syminfo.currency + ' Volatility: ' + atrTrendCond + ' _____________________' + (advDash ? ' 1min: ' + trend1min : '') + (advDash ? ' 3min: ' + trend3min : '') + (advDash ? ' 5min: ' + trend5min : '') + (advDash ? ' 10min: ' + trend10min : '') + ' 15min: ' + trend15min + (advDash ? ' 30min: ' + trend30min : '') + ' 1hr: ' + trend1hr + (advDash ? ' 2hr: ' + trend2hr : '') + ' 4hr: ' + trend4hr + (advDash ? ' 12hr: ' + trend12hr : '') + ' Daily: ' + trend1d, color=color.rgb(51,255,255,70), textcolor=color.white, style=label.style_label_left, xloc=xloc.bar_time, yloc=yloc.price, textalign=text.align_left)
dashboard
label.delete(dashboard )
alertcondition(bull, title='Buy Signal', message = "BUY")
alertcondition(bear, title='Buy Signal', message = "BUY")
// ==========================================================================================
Mohammad - OBs, BOS, S/R, Elliott Waves & Trend LinesProfessional Trading Indicator System - Technical Analysis Suite
Overview
Advanced technical analysis system integrating ICT/SMC methodologies with classical analysis tools. Features seven analytical components for comprehensive market structure analysis.
Components
1. Order Blocks (ICT/SMC)
Identifies institutional accumulation/distribution zones acting as future support/resistance.
Detection: Automatic identification based on price rejection patterns
Management: Dynamic updates and removal of invalidated blocks
Configuration: Sensitivity levels (High/Medium/Low), ATR-based parameters
Visual: Green support, red resistance with transparency
2. Break of Structure (BOS)
Detects significant structural breaks indicating trend changes.
Method: 5-bar swing point formation
Display: White horizontal lines with labels
Range: 50-bar maximum lookback
3. Support & Resistance
Classical horizontal levels from significant price pivots.
Analysis: 300-bar historical scan
Filter: 10-point duplicate tolerance
Display: Maximum 15 levels within 5% of current price
4. Fair Value Gaps (FVG)
Price inefficiencies that often get filled on return.
Types: Bullish gaps (up) and bearish gaps (down)
Size: Minimum 0.1 ATR or 5 points
Management: Auto-removal when filled
5. Elliott Wave Analysis
Advanced pattern recognition for impulse and corrective waves.
Patterns: 5-wave impulse (1-2-3-4-5), 3-wave corrective (A-B-C)
Adaptive: Auto-adjusts to timeframe (3-10 depth range)
Display: Small dots with large numbers, starts from hidden point 0
6. 45-Degree Momentum Lines
Revolutionary projection system based on consecutive candle sequences.
Bearish Lines (Red):
Trigger: 5+ consecutive red candles
Start: HIGH of first red candle
Labels: B1-B5
Bullish Lines (Green):
Trigger: 5+ consecutive green candles
Start: LOW of first green candle
Labels: T1-T5
Specifications:
Angle: 45° using ATR * 0.15
Extension: 30 bars forward
Display: 5 most recent patterns
7. Classical Trend Lines
Multi-touch diagonal support/resistance detection.
Validation: Minimum touch requirements
Tolerance: ATR-based touch detection
Display: Blue lines with optional labels
Configuration Summary
Global Settings:
Show/hide each component individually
Customizable colors and line widths
Label size options
Performance:
50-bar periodic cleanup
Maximum object limits (500 each)
Conditional processing on bar close
Trading Applications
Scalping: Order Blocks + FVGs + 45° Lines
Day Trading: All components with BOS emphasis
Swing Trading: Elliott Waves + Trend Lines
Position Trading: Major levels + Elliott Waves
Key Strategies:
Use 45° line bounces for entries
Combine Order Blocks with 45° lines for confluence
Confirm BOS breaks with 45° line violations
Place stops beyond projection lines
Technical Requirements
Platform: TradingView Pine Script v5
Minimum: 300 historical bars
Optimal: 15m-4H timeframes
Performance: Moderate CPU usage
Color Scheme
Green: Bullish/Support (#26a69a)
Red: Bearish/Resistance (#ef5350)
White: BOS/S&R lines
Blue: Elliott Waves/Trend Lines
Customizable: 45° projection lines
Risk Disclaimer
Educational tool only. Not financial advice. Combine with risk management and personal analysis. Past performance doesn't guarantee future results. Trading involves substantial risk.
MOV MVRV BTC FREE [на графіку]Description
MOV MVRV BTC FREE is a simple and user-friendly indicator for analyzing the relative overvaluation or undervaluation of Bitcoin (BTC) price, utilizing a modified MVRV (Market Value to Realized Value) logic with dynamic thresholds for different market regimes.
The indicator allows you to quickly assess whether BTC is currently undervalued, balanced, or overvalued compared to historical prices. This helps to identify optimal zones for mid-term decisions:
• when the price is too low (potential accumulation zone),
• or, on the contrary, too high (potential risk/profit-taking zone).
⸻
What does the indicator show?
• MVRV Line: The ratio of the current price to the moving average price over the selected period (adapts to the market).
• Realized Price: The average price at which coins were last moved (based on VWAP).
• Cost Basis: The volume-weighted “cost basis” of positions for the period.
• Colored background: Automatically highlights areas of strong imbalance (overvaluation/undervaluation).
⸻
Modes
The indicator allows you to choose between two modes:
• BTC 1D Active: For active markets and short- to mid-term signals.
• BTC 1D Global: For broader market state assessment and long-term cycles.
⸻
Settings
• Mode: Switch between “BTC 1D Active” and “BTC 1D Global”.
• Show MVRV Line: Enable/disable the main indicator line.
• Show Realized Price: Enable/disable the Realized Price line.
• Show Cost Basis: Enable/disable the cost basis line.
Most of the indicator’s advanced features are hidden. In the simplified version, only the basic BTC analysis parameters are available.
⸻
How to interpret:
• Green background: BTC is undervalued (historically a favorable zone for accumulation).
• Red background: BTC is overvalued (risk zone for new purchases).
• Blue and purple lines: Help compare the current price with actual averages.
⸻
MOV MVRV BTC FREE is simple, informative, and ideal for portfolio decision-making, without unnecessary and confusing settings.
⸻
P.S.
The indicator can be displayed directly on the price chart, or in a separate window. Available on TradingView.
MOV MVRV BTC FREE — це простий і зручний індикатор для аналізу відносної переоцінки або недооцінки ціни Bitcoin (BTC) через логіку модифікованого MVRV (Market Value to Realized Value) із динамічними порогами для різних ринкових режимів.
Індикатор дозволяє швидко оцінити, чи знаходиться BTC у стані недооцінки, балансу чи переоцінки відносно історичних цін. Це допомагає знаходити оптимальні зони для середньострокових рішень:
• коли ціна є надто низькою (потенційна зона для накопичення),
• або навпаки — надто високою (потенційна зона ризику/фіксації прибутку).
⸻
Що показує індикатор?
• Лінія MVRV: співвідношення поточної ціни до скользячої середньої ціни за вибраний період (адаптується до ринку).
• Realized Price: середня ціна, за якою монети переміщались востаннє (на основі VWAP).
• Cost Basis: середньозважена “собівартість” позицій за період (з урахуванням обсягу).
• Кольоровий фон: автоматично підсвічує зони сильного дисбалансу (переоцінка/недооцінка).
⸻
Режими роботи
В індикаторі можна вибрати один із двох режимів:
• BTC 1D Активний: Для активного ринку, коротко- і середньострокових сигналів.
• BTC 1D Глобальний: Для більш глобальних оцінок стану ринку та довгострокових циклів.
⸻
Налаштування
• Режим налаштувань: Вибір між “BTC 1D Активний” і “BTC 1D Глобальний”.
• Показати MVRV лінію: Вмикати/вимикати основну лінію індикатора.
• Показати Realized Price: Вмикати/вимикати лінію Realized Price.
• Показати Cost Basis: Вмикати/вимикати лінію середньої собівартості.
Більшість функцій які дає індикатор скриті. В спрощеній версії доступні тількі базові параметри для роботи з BTC
⸻
Як інтерпретувати?
• Зелений фон: BTC перебуває у недооцінці (історично вигідна зона для накопичення).
• Червоний фон: BTC у переоцінці (зона ризику для нових покупок).
• Сині та фіолетові лінії: допомагають порівняти поточну ціну з реальними середніми.
⸻
MOV MVRV BTC FREE — простий, інформативний, ідеально підходить для портфельних рішень, без зайвого “перекручування” налаштувань.
⸻
P.S.
Відображення на графіку. Є окремий для відображення в окремому вікні. Також доданий в ТВ.
NMT Buy/Sell Alarm GPTBUY:
1. When the green arrow appears, it is time for you to consider other additional situations to place a buy order
2. And you set an alert so you don't miss the opportunity
SELL:
You observe the green label showing the % ratio between the order and the current price
You want to sell with how much profit % (relatively) then you sell.
PCR tableOverview
This indicator displays a multi-period table of forward-looking price projections. It combines normalized directional momentum (Positive Change Ratio, PCR) with volatility (ATR) and presents a forecast for upcoming time intervals, adjusted for your local UTC offset.
Concepts & Calculations
Positive Change Ratio (PCR):
((total positive change)/(total change)-0.5)*2, producing a value between –100 and +100.
Synthetic ATR: Calculates average true range over the same lookbacks to capture volatility.
PCR × ATR: Forms a volatility-weighted directional forecast, indicating expected move magnitude.
Future Price Projection: Adds PCR × ATR value to current close to estimate future price at each lookahead interval.
Table Layout
There are 12 forecast horizons—1× to 12× the chart timeframe (e.g., minutes, hours, days). Each row displays:
1. Future Time: Timestamp of each projection (adjustable via UTC offset)
2. PCR: Directional bias per period (–1 to +1)
3. PCR × ATR: E xpected move magnitude
4. Future Price: Close + (PCR × ATR)
High and low PCR×ATR rows are highlighted green for minimum value in the price forecast (buy signal) or red for maximum value in the price forecast (sell signal).
How to Use
1. Set UTC offset to your time zone for accurate future timestamps.
2. View PCR to assess bullish (positive) or bearish (negative) momentum.
3. Use PCR × ATR to estimate move strength and direction.
4. Reference Future Price for potential levels over upcoming intervals, and for buy and sell signals.
Limitations & Disclaimers
* This model uses linear extrapolation based on recent price behavior. It does not guarantee future prices.
* It uses only current bar data and no lookahead logic—compliant with Pine Script rules.
* Designed for analytical insight, not as an automated signal or trade executor.
* Best used on standard bar/candle charts (avoid non-standard types like Heikin‑Ashi or Renko).
Sniper Radar Indicator (SRI)🔍 Sniper Radar Indicator (SRI) — Official Description
The Sniper Radar Indicator (SRI) is a clean, real-time flow detection tool designed to spot high-confluence shifts in market behavior — before price makes its move.
This tool does not use or copy any other indicator, and is built from scratch to monitor three key behaviors:
1. High Inflow (White Dots) – Detects real-time bursts of volume and momentum entering the market. When you see white, buyers are stepping in aggressively.
2. Bearish Drain (Purple Dots) – Tracks subtle exits in money flow where price hasn’t dropped yet, but buyers are drying up. These are early warnings for potential weakness.
3. Heavy Sell Impulse (Red Dots) – Flags aggressive sell pressure. Volume is high, candles are large, and money is rushing out fast.
To keep your chart clean:
• All signals are shown as low-opacity colored dots
• Background shading lightly marks temporary “flow zones” so you know where action just built up or drained out
• The script uses adaptive filters to ignore noise and focus only on meaningful shifts in buyer or seller interest
⸻
🧠 Who It’s For:
Whether you’re a scalper, swing trader, or just watching price unfold, SRI helps you catch early signs of big moves without crowding your chart.
• No fancy names
• No waves
• Just dots, zones, and real-time momentum
⸻
✅ Key Features:
• 100% original — built from scratch by Snipers-R-Us
• Real-time volume + money flow + impulse detection
• Lightweight visual style with minimal noise
• Works on any coin or asset, any timeframe
52SIGNAL RECIPE Market Structure Reversal Signals═══ 52SIGNAL RECIPE Market Structure Reversal Signals ═══
◆ Overview
52SIGNAL RECIPE Market Structure Reversal Signals is a technical indicator designed to detect structural changes in price charts and identify potential trend reversals. By tracking highs and lows over a specified period, this indicator provides clear visual signals when significant price breakouts occur, helping traders capture directional changes in the market early.
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◆ Key Features
• Structural Reversal Detection: Provides potential trend change signals when price breaks through recent N-day highs/lows
• Duplicate Signal Prevention: Filters out consecutive signals in the same direction
• Intuitive Visualization: Clearly distinguishes bullish/bearish reversal signals by color and position on the chart
• Confirmed Bar Based: Generates signals only after bars are completely closed, enhancing reliability
• Customizable Settings: Adjustable tracking period to optimize for various market environments and timeframes
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◆ Technical Foundation
■ Market Structure Analysis Principle
• High/Low Tracking: Identifies previous highs (LH) and lows (HL) over the specified period
• Structural Breakout: Interprets as structural change when closing price breaks above previous high or below previous low
• Confirmed Bar Verification: Minimizes false signals by generating signals only after the current bar has completely closed
■ Signal Filtering Mechanism
• Signal State Tracking: Prevents duplicate signals by tracking the direction of the last generated signal
• Directional Change Focus: Suppresses signals in the same direction until an opposite signal occurs
• Noise Reduction: Focuses only on important level breakouts, eliminating unnecessary signals
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◆ Practical Applications
■ Trend Reversal Point Identification
• Bullish Trend Starting Point:
▶ When bullish reversal signal occurs after a downtrend
▶ When upward momentum is confirmed by breaking previous high
• Bearish Trend Starting Point:
▶ When bearish reversal signal occurs after an uptrend
▶ When downward momentum is confirmed by breaking below previous low
• Range Breakout Detection:
▶ Potential trend formation signals when breaking upper/lower boundaries in a ranging market
■ Trading Strategy Application
• Trend Following Strategy:
▶ Consider buy entry when bullish reversal signal occurs
▶ Consider sell entry when bearish reversal signal occurs
• Reversal Trading:
▶ Signals occurring at support/resistance levels provide high-probability entry points
▶ Reversal signals in overbought/oversold conditions strengthen trend reversal possibility
• Risk Management:
▶ Consider closing or reducing positions when opposite signals occur
▶ Set precise stop-loss points by combining with key technical levels
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◆ Advanced Setting Options
■ Tracking Period (N-day) Adjustment
• Short-term Setting: 10-15 days (sensitive signals, quick reaction, suitable for short-term trading)
• Medium-term Setting: 20-30 days (balanced signals, general trend detection, recommended default)
• Long-term Setting: 40-50 days (strong filtering, detects only major trend reversals, suitable for long-term investment)
■ Timeframe Optimization
• Daily Chart: 20-30 day setting (medium-term trend change detection)
• 4-Hour Chart: 30-40 setting (short-term swing trading signals)
• Hourly Chart: 40-50 setting (intraday trend change detection)
• Intraday Chart: 10-20 setting (scalping and short-term trading)
■ Market Type Adjustment
• High Volatility Markets: Higher N values (30-50) to filter noise
• Trending Markets: Medium N values (20-30) to capture only major reversals
• Ranging Markets: Lower N values (10-20) to capture range-bound movements
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◆ Synergy with Other Indicators
• Moving Averages: Signal strength enhanced when Market Structure Reversal Signals align with key moving average crossovers
• RSI: Market Structure Reversal Signals occurring at overbought/oversold levels increase reversal probability
• Volume Indicators: Market Structure Reversal Signals accompanied by high volume enhance reliability
• Fibonacci Levels: Market Structure Reversal Signals occurring at key Fibonacci levels provide important turning points
• Channel Indicators: Powerful breakout confirmation when price channel upper/lower breakthroughs coincide with Market Structure Reversal Signals
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◆ Conclusion
52SIGNAL RECIPE Market Structure Reversal Signals objectively identifies structural changes in the market and clearly visualizes potential trend reversal points. Its simple yet powerful approach of detecting directional changes through recent N-day high/low breakouts provides flexibility applicable to various market environments and trading styles. The duplicate signal prevention mechanism and confirmed bar-based signal generation greatly enhance signal quality and reliability. When combined with other technical indicators, synergy effects can be maximized, providing traders with a valuable tool to capture market turning points early.
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※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE Market Structure Reversal Signals ═══
◆ 개요
52SIGNAL RECIPE Market Structure Reversal Signals는 가격 차트의 구조적 변화를 감지하여 잠재적인 추세 반전을 식별하는 기술적 지표입니다. 이 지표는 최근 N일 동안의 고점과 저점을 추적하여 의미 있는 가격 돌파가 발생할 때 명확한 시각적 신호를 제공함으로써, 트레이더가 시장의 방향성 변화를 조기에 포착할 수 있도록 도와줍니다.
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◆ 주요 특징
• 구조적 반전 탐지: 가격이 최근 N일 고점/저점을 돌파할 때 잠재적 추세 변화 신호 제공
• 중복 신호 방지: 동일한 방향의 신호가 연속으로 반복되지 않도록 필터링
• 직관적인 시각화: 상승/하락 반전 신호를 차트 상에서 색상과 위치로 명확히 구분
• 확정 봉 기반: 봉이 완전히 종료된 후에만 신호 생성하여 신뢰도 향상
• 사용자 정의 설정: 추적 기간을 조정하여 다양한 시장 환경과 타임프레임에 최적화 가능
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◆ 기술적 기반
■ 시장 구조 분석 원리
• 고점/저점 추적: 지정된 기간 동안의 이전 고점(LH)과 저점(HL) 식별
• 구조적 돌파: 종가가 이전 고점을 상향 돌파하거나 이전 저점을 하향 돌파할 때 구조적 변화로 해석
• 확정 봉 검증: 현재 봉이 완전히 종료된 후에만 신호 생성하여 오신호 최소화
■ 신호 필터링 메커니즘
• 신호 상태 저장: 마지막 생성된 신호의 방향을 추적하여 동일 방향 신호 중복 방지
• 방향성 전환 초점: 반대 방향 신호가 발생할 때까지 동일 방향 신호 억제
• 노이즈 감소: 중요 수준 돌파에만 집중하여 불필요한 신호 제거
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◆ 실용적 응용
■ 추세 전환점 식별
• 상승 추세 시작점:
▶ 하락 추세 후 상승 반전 신호 발생 시
▶ 이전 고점 돌파로 상승 모멘텀 확인 시
• 하락 추세 시작점:
▶ 상승 추세 후 하락 반전 신호 발생 시
▶ 이전 저점 이탈로 하락 모멘텀 확인 시
• 범위 돌파 감지:
▶ 횡보 시장에서 상/하 경계 돌파 시 잠재적 추세 형성 신호
■ 트레이딩 전략 적용
• 추세 추종 전략:
▶ 상승 반전 신호 발생 시 매수 진입 고려
▶ 하락 반전 신호 발생 시 매도 진입 고려
• 반전 트레이딩:
▶ 지지/저항 수준에서 반전 신호 발생 시 높은 확률의 진입점 제공
▶ 과매수/과매도 상태에서의 반전 신호는 추세 전환 가능성 강화
• 리스크 관리:
▶ 반대 방향 신호 발생 시 포지션 종료 또는 축소 고려
▶ 주요 기술적 수준과 결합하여 정밀한 손절점 설정 가능
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◆ 고급 설정 옵션
■ 추적 기간(N일) 조정
• 단기 설정: 10-15일 (민감한 신호, 빠른 반응, 단기 트레이딩에 적합)
• 중기 설정: 20-30일 (균형 잡힌 신호, 일반적 추세 감지, 기본 권장)
• 장기 설정: 40-50일 (강한 필터링, 주요 추세 전환만 감지, 장기 투자에 적합)
■ 타임프레임별 최적화
• 일봉 차트: 20-30일 설정 (중기 추세 변화 감지)
• 4시간 차트: 30-40 설정 (단기 스윙 트레이딩 신호)
• 시간봉 차트: 40-50 설정 (일중 추세 변화 감지)
• 일중 차트: 10-20 설정 (스캘핑 및 단기 거래)
■ 시장 유형별 조정
• 변동성 높은 시장: 높은 N값 (30-50) 설정으로 노이즈 필터링
• 추세 시장: 중간 N값 (20-30) 설정으로 주요 반전만 포착
• 횡보 시장: 낮은 N값 (10-20) 설정으로 범위 내 움직임 포착
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◆ 다른 지표와의 시너지
• 이동평균선: Market Structure Reversal Signals 신호와 주요 이동평균선 교차 지점이 일치할 때 신호 강화
• RSI: 과매수/과매도 수준에서의 Market Structure Reversal Signals 신호는 반전 가능성 높임
• 볼륨 지표: 높은 볼륨과 함께 발생하는 Market Structure Reversal Signals 신호는 신뢰도 향상
• 피보나치 레벨: 주요 피보나치 레벨에서 발생하는 Market Structure Reversal Signals 신호는 중요한 전환점 제공
• 채널 지표: 가격 채널의 상단/하단 돌파와 Market Structure Reversal Signals 신호 일치 시 강력한 돌파 확인
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◆ 결론
52SIGNAL RECIPE Market Structure Reversal Signals는 시장의 구조적 변화를 객관적으로 식별하여 잠재적인 추세 전환점을 명확하게 시각화합니다. 최근 N일 고점/저점 돌파를 통해 방향성 변화를 감지하는 단순하면서도 강력한 접근 방식은 다양한 시장 환경과 트레이딩 스타일에 적용할 수 있는 유연성을 제공합니다. 중복 신호 방지 메커니즘과 확정 봉 기반 신호 생성은 신호의 품질과 신뢰성을 크게 향상시킵니다. 다른 기술적 지표와 결합하여 사용할 때 시너지 효과를 극대화할 수 있으며, 트레이더에게 시장의 전환점을 조기에 포착할 수 있는 귀중한 도구를 제공합니다.
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※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Session HL + Candles + AMD (Nephew_Sam_)Session HL + Candles + AMD (Nephew_Sam_)
This indicator marks out intraday sessions summarized into single candles, with an additional option to mark out the HL of each session. Perfect for understanding AMD within a glance (accumulation-manipulation-distribution)
Features:
Session High/Low lines with customizable colors and labels
Optional session candles displayed on the right side of the chart
Timezone support for global traders
Customizable bull/bear candle colors
Works on timeframes up to 1 hour
Perfect for:
Identifying session liquidity levels
Tracking session ranges and breakouts
Multi-timeframe session analysis
ICT methodology traders
Settings:
Choose your timezone for accurate session detection
Toggle session candles and HL lines independently
Customize colors, line styles, and labels
Set maximum timeframe (up to 1 hour)
