therebel Magic SystemSimple programming exercise of the system described by /u/therebel.
Signals MACD crossover on price above and below EMA 200 (blue for longs, red for shorts).
You should wait for the candle to close before considering the signal. And always check the fundamentals.
Risk less than 2% per trade, allow winners to run using a trailing stop.
When the market has proved you wrong exit with out any hesitation. This is key.
Might be useful for someone, but don't take it too seriously. If I might add something, I think a good trailing stop can be the previous candle wick.
在腳本中搜尋"Trailing stop"
Ichimoku-Hausky_v2 Trading SystemMade a new version of my trading system. I have added a cloud that is made with 45 EMA and 104 MA. Now you can choose where to set trailing stop. As shown in the example you set trailing stop under the cloud.
Volatility StopThe Volatility Stop Indicator is able to define the current trend. When a downward trend is determined a red line above the prices bars is plotted; when an upward trend is determined a green line below the prices bars is plotted. These lines are generally used as trailing stops. The Volatility Stop Indicator is more used as an exit tool than an entry tool. When the price crosses the VStop value, the trend reverses and VStop moves to the other side of price.
We'd like to present you VStop indicator written in Pine Script. Please notice new Pine Script features used in this indicator: variables max_, min_, is_uptrend, vstop. We may refer to previous values of the indicator in the source code (e.g. vstop , is a vstop value on the previous bar) before the actual vstop variable definition. Enjoy and leave your comments!
WoAlgo Premium v3.0
WoAlgo Premium v3.0 - Smart Money Analysis
Overview
** WoAlgo Premium v3.0 ** is an advanced technical analysis indicator designed for educational purposes. This tool combines Smart Money Concepts with multi-factor confluence analysis to help traders identify potential market opportunities across multiple timeframes.
The indicator integrates market structure analysis, order flow concepts, and technical momentum indicators into a comprehensive dashboard system. It is designed to assist traders in understanding institutional trading patterns and market dynamics through visual analysis tools.
### What It Does
This indicator provides:
**1. Smart Money Concepts Analysis**
- Market structure identification (Break of Structure and Change of Character patterns)
- Order block detection with volume confirmation
- Fair value gap recognition
- Liquidity zone mapping (equal highs and lows)
- Premium and discount zone calculations
**2. Multi-Factor Confluence Scoring**
The indicator calculates a proprietary confluence score (0-100) based on five key components:
- Price action analysis (30% weight)
- Volume confirmation (20% weight)
- Momentum indicators (25% weight)
- Trend strength measurement (15% weight)
- Money flow analysis (10% weight)
**3. Multi-Timeframe Analysis**
- Scans 5 different timeframes (5M, 15M, 1H, 4H, Daily)
- Calculates alignment percentage across timeframes
- Displays trend and structure status for each period
**4. Visual Dashboard System**
- Comprehensive main dashboard with 13 metrics
- Real-time screener table with 10 data columns
- Multi-timeframe scanner
- Performance tracking panel
### How It Works
**Market Structure Detection**
The indicator identifies key structural changes in price action:
- **BOS (Break of Structure)**: Indicates trend continuation when price breaks previous swing points
- **CHoCH (Change of Character)**: Signals potential trend reversal when market structure shifts
**Order Block Identification**
Order blocks are detected when:
- Significant volume appears at swing points
- Price shows strong directional movement from these levels
- Enhanced detection with extreme volume confirmation (OB++ markers)
**Fair Value Gap Recognition**
Gaps between candles are identified when:
- Price leaves inefficiencies in the market
- Three consecutive candles create a gap pattern
- Gap size exceeds minimum threshold based on ATR
**Confluence Calculation**
The system evaluates multiple technical factors:
1. **Price Position**: Relative to moving averages (EMA 20, 50, 200)
2. **Volume Analysis**: Standard deviation-based volume spikes
3. **Momentum**: RSI, MACD, Stochastic indicators
4. **Trend Strength**: ADX measurements
5. **Money Flow**: MFI indicator readings
Each factor contributes weighted points to create an overall confluence score that helps assess signal strength.
### Signal Types
**Confirmation Signals (▲ / ▼)**
Generated when:
- EMA crossovers occur (20/50 cross)
- Volume confirmation is present
- RSI is in appropriate zone
- Confluence score exceeds 50%
**Strong Signals (▲+ / ▼+)**
Higher-confidence signals requiring:
- Confluence score above 70%
- Extreme volume confirmation
- Alignment with 200 EMA trend
- MACD confirmation
- Bullish or bearish market structure
**Contrarian Signals (⚡)**
Reversal indicators appearing when:
- RSI reaches extreme levels (<30 or >70)
- Stochastic shows oversold/overbought conditions
- Price touches Bollinger Band extremes
- Potential divergence patterns emerge
**Reversal Zones**
Visual boxes highlighting areas where:
- Market structure conflicts with momentum
- High probability of directional change
- Key support/resistance levels interact
**Smart Trail**
Dynamic stop-loss indicator that:
- Adjusts based on ATR (Average True Range)
- Follows trend direction
- Updates automatically as price moves
- Provides risk management reference points
### Dashboard Components
**Main Dashboard (13 Metrics)**
1. **Confluence Score**: Current bull/bear percentage (0-100)
2. **Market Regime**: Trend classification (Strong Up/Down, Range, Squeeze)
3. **Signal Status**: Active buy/sell signal indication
4. **Structure State**: Current market structure (Bullish/Bearish/Neutral)
5. **Trend Strength**: ADX-based measurement
6. **RSI Level**: Momentum indicator with overbought/oversold zones
7. **MACD Direction**: Trend momentum confirmation
8. **Money Flow Index**: Smart money sentiment
9. **Volume Status**: Current volume relative to average
10. **Volatility Rating**: ATR percentage measurement
11. **ATR Value**: Average true range for position sizing
12. **MTF Alignment**: Multi-timeframe agreement percentage
**Screener Table (10 Columns)**
- Current symbol and timeframe
- Real-time price and percentage change
- Quality rating (star system)
- Active signal type
- Smart trail status
- Market structure state
- MACD direction
- Trend strength percentage
- Bollinger Band squeeze detection
**MTF Scanner (5 Timeframes)**
Displays for each timeframe:
- Trend direction indicator
- Market structure classification
- Visual confirmation with color coding
**Performance Metrics**
- Win rate percentage (simplified calculation)
- Total signals generated
- Current confluence score
- MTF alignment status
- Volatility level
### Settings and Customization
**Preset Styles**
Choose from predefined configurations:
- **Conservative**: Fewer, higher-quality signals
- **Moderate**: Balanced approach (recommended)
- **Aggressive**: More frequent signals
- **Scalper**: Short-term focused
- **Swing**: Longer-term oriented
- **Custom**: Full manual control
**Smart Money Concepts Controls**
- Toggle each feature independently
- Adjust swing length (3-50 periods)
- Enable/disable internal structure
- Control order block display
- Manage breaker block visibility
- Show/hide fair value gaps
- Display liquidity zones
- Premium/discount zone visualization
**Signal Configuration**
- Enable/disable confirmation signals
- Toggle strong signal markers
- Control contrarian signal display
- Show/hide reversal zones
- Smart trail activation
- Sensitivity adjustment (5-50)
**Visual Customization**
- Moving average display options
- MA period adjustments (Fast: 20, Slow: 50, Trend: 200)
- Support/resistance line toggle
- Dynamic S/R lookback period
- Candle coloring based on trend
- Color scheme customization
- Dashboard size options (Small/Normal/Large)
- Position placement (4 corners)
### How to Use
**Step 1: Initial Setup**
1. Add indicator to chart
2. Select appropriate preset or use Custom
3. Adjust timeframe to match trading style
4. Configure dashboard visibility preferences
**Step 2: Analysis Workflow**
1. Check MTF Scanner for timeframe alignment
2. Review Main Dashboard confluence score
3. Observe Market Regime classification
4. Identify active signals on chart
5. Confirm with Smart Money Concepts (order blocks, FVG, structure)
**Step 3: Trade Consideration**
Strong signals (▲+ / ▼+) require:
- Confluence score >70%
- MTF alignment >60%
- Confirmation from multiple dashboard metrics
- Support from Smart Money Concepts
- Appropriate volume levels
**Step 4: Risk Management**
- Use Smart Trail as dynamic stop-loss reference
- Consider ATR for position sizing
- Monitor volatility rating
- Respect support/resistance levels
- Combine with personal risk parameters
### Best Practices
**For Scalping (1M-5M timeframes)**
- Use Scalper preset
- Reduce swing length to 5-7
- Focus on strong signals only
- Monitor MTF alignment closely
- Quick entries near order blocks
**For Intraday Trading (15M-1H timeframes)**
- Use Moderate preset (recommended)
- Default swing length (10)
- Combine confirmation and strong signals
- Check MTF scanner before entry
- Use fair value gaps for entries
**For Swing Trading (4H-D timeframes)**
- Use Swing preset
- Increase swing length to 15-20
- Focus on strong signals
- Require high MTF alignment
- Patient approach with major structure levels
### Technical Specifications
**Indicators Used**
- Exponential Moving Averages (20, 50, 200)
- Hull Moving Average
- Relative Strength Index (14)
- MACD (12, 26, 9)
- Money Flow Index (14)
- Stochastic Oscillator (14, 3)
- ADX / DMI (14)
- Bollinger Bands (20, 2)
- ATR (14)
- Volume Analysis (SMA 20 with standard deviation)
**Calculation Methods**
- Swing detection using pivot high/low functions
- Volume confirmation via statistical analysis
- Multi-factor scoring with weighted components
- Dynamic support/resistance using highest/lowest functions
- Real-time MTF data via security() function
### Limitations and Considerations
**Important Notes**
1. This indicator is designed for educational and analytical purposes only
2. Historical performance does not guarantee future results
3. Signals should be confirmed with additional analysis
4. Market conditions vary and affect indicator performance
5. Not all signals will be profitable
6. Risk management is essential for all trading
**Known Limitations**
- Confluence scoring is algorithmic and not predictive
- MTF analysis requires sufficient historical data
- Effectiveness varies across different market conditions
- Sideways markets may produce conflicting signals
- High volatility can affect signal reliability
- Backtesting results shown are simplified calculations
**Not Suitable For**
- Automated trading without human oversight
- Sole basis for trading decisions
- Guaranteed profit expectations
- Inexperienced traders without proper education
- Trading without risk management plans
### Market Applicability
**Effective On**
- Trending markets (any direction)
- Clear structure formation periods
- Liquid instruments with consistent volume
- Multiple asset classes (forex, stocks, crypto, commodities)
- Various timeframes with appropriate settings
**Less Effective During**
- Extended ranging/choppy conditions
- Extremely low volume periods
- Major news events causing gaps
- Early market open with high spread
- Illiquid instruments with erratic price action
### Risk Disclaimer
**⚠️ IMPORTANT NOTICE**
This indicator is provided for **educational and informational purposes only**. It does not constitute financial advice, investment recommendations, or trading signals.
**Key Risk Factors:**
- Trading financial instruments involves substantial risk of loss
- Past performance does not indicate future results
- No indicator can predict market movements with certainty
- Users should conduct independent research and analysis
- Professional financial advice should be sought when appropriate
- Risk management and position sizing are critical to successful trading
- Users are solely responsible for their trading decisions
**Responsible Usage:**
- Combine with comprehensive market analysis
- Use appropriate stop-loss orders
- Never risk more than you can afford to lose
- Maintain realistic expectations
- Continue education on technical analysis principles
- Test thoroughly on demo accounts before live trading
- Understand all indicator features before using
### Educational Resources
**Understanding Smart Money Concepts**
Smart Money Concepts analyze how institutional traders and large market participants operate. Key principles include:
- Institutional order flow patterns
- Market structure changes
- Liquidity manipulation
- Supply and demand imbalances
- Order block formations
**Multi-Timeframe Analysis Theory**
Analyzing multiple timeframes helps:
- Identify overall market direction
- Improve entry timing
- Confirm trend strength
- Recognize consolidation periods
- Reduce conflicting signals
**Confluence Trading Approach**
Using multiple confirming factors:
- Increases signal reliability
- Reduces false signals
- Provides conviction for trades
- Helps with position sizing
- Improves risk-reward ratios
### Version History
**v3.0 (Current)**
- Multi-factor confluence scoring system
- Complete Smart Money Concepts implementation
- Real-time multi-timeframe analysis
- Four professional dashboard panels
- Enhanced order block detection
- Breaker block identification
- Premium/discount zone calculations
- Smart trail stop-loss system
- Customizable preset configurations
- Performance tracking metrics
**Development Philosophy**
This indicator was developed with focus on:
- Educational value for traders
- Transparent methodology
- Comprehensive feature set
- User-friendly interface
- Flexible customization options
### Technical Support
**For Questions About:**
- Indicator functionality
- Parameter optimization
- Signal interpretation
- Dashboard metrics
- Best practice recommendations
Please use TradingView's comment section below. The developer monitors comments and provides assistance to users learning to use the indicator effectively.
### Acknowledgments
This indicator implements concepts from:
- Smart Money Concepts trading methodology
- Multi-timeframe analysis techniques
- Technical indicator theory
- Market structure analysis principles
- Institutional order flow concepts
All implementations are original code and calculations based on established technical analysis principles.
---
## ADDITIONAL INFORMATION SECTION
**Category**: Indicators
**Type**: Market Structure / Multi-Timeframe Analysis
**Complexity**: Intermediate to Advanced
**Open Source**: Code visible for transparency and education
**Pine Script Version**: v6
**Chart Overlay**: Yes
**Maximum Objects**: 500 boxes, 500 lines, 500 labels
Sentinel Market Structure [JOAT]
Sentinel Market Structure - Smart Money Structure Analysis
Introduction and Purpose
Sentinel Market Structure is an open-source overlay indicator that identifies swing highs/lows, tracks market structure (HH/HL/LH/LL), detects Break of Structure (BOS) and Change of Character (CHoCH) signals, and marks order blocks. The core problem this indicator solves is that retail traders often miss structural shifts that smart money traders use to identify trend changes.
This indicator addresses that by automatically tracking market structure and alerting traders to key structural breaks that often precede significant moves.
Why These Components Work Together
Each component provides different structural information:
1. Swing Detection - Identifies significant pivot highs and lows. These are the building blocks of market structure.
2. Structure Labels (HH/HL/LH/LL) - Classifies each swing relative to the previous swing. Higher Highs + Higher Lows = uptrend. Lower Highs + Lower Lows = downtrend.
3. Break of Structure (BOS) - Identifies when price breaks a swing level in the direction of the trend. This is a continuation signal.
4. Change of Character (CHoCH) - Identifies when price breaks a swing level against the trend. This is a potential reversal signal.
5. Order Blocks - Marks the last opposing candle before an impulse move. These zones often act as future support/resistance.
How the Detection Works
Swing Detection:
bool swingHighDetected = high == ta.highest(high, swingLength * 2 + 1)
bool swingLowDetected = low == ta.lowest(low, swingLength * 2 + 1)
BOS vs CHoCH Logic:
// BOS: Break in direction of trend (continuation)
bool bullishBOS = close > lastSwingHigh and marketTrend >= 0
// CHoCH: Break against trend (reversal signal)
bool bullishCHOCH = close > lastSwingHigh and marketTrend < 0
Order Block Detection:
bool bullOB = close < open and // Previous candle bearish
close > open and // Current candle bullish
close > high and // Breaking above
(high - low) > ta.atr(14) * 1.5 // Strong impulse
Signal Types
HH (Higher High) - Swing high above previous swing high (bullish structure)
HL (Higher Low) - Swing low above previous swing low (bullish structure)
LH (Lower High) - Swing high below previous swing high (bearish structure)
LL (Lower Low) - Swing low below previous swing low (bearish structure)
BOS↑/BOS↓ - Break of structure in trend direction (continuation)
CHoCH↑/CHoCH↓ - Change of character against trend (potential reversal)
Dashboard Information
Trend - Current market bias (BULLISH/BEARISH/NEUTRAL)
Swing High - Last swing high price with HH/LH label
Swing Low - Last swing low price with HL/LL label
Structure - Current structure state (HH+HL, LH+LL, etc.)
Price - Price position relative to structure
How to Use This Indicator
For Trend Following:
1. Identify trend using structure (HH+HL = uptrend, LH+LL = downtrend)
2. Enter on BOS signals in trend direction
3. Use swing levels for stop placement
For Reversal Trading:
1. Watch for CHoCH signals (break against trend)
2. Confirm with order block formation
3. Enter on retest of order block zone
For Risk Management:
1. Place stops beyond swing highs/lows
2. Use structure lines as trailing stop references
3. Exit when CHoCH signals against your position
Input Parameters
Swing Detection Length (5) - Bars on each side for pivot detection
Show Swing High/Low Points (true) - Toggle swing markers
Show BOS/CHoCH (true) - Toggle structural break signals
Show Structure Lines (true) - Toggle horizontal swing lines
Show Order Blocks (true) - Toggle order block zones
Zone Extension (50) - How far order block boxes extend
Timeframe Recommendations
15m-1H: Good for intraday structure analysis
4H-Daily: Best for swing trading structure
Lower timeframes require smaller swing detection length
Limitations
Swing detection has inherent lag (needs confirmation bars)
Not all BOS/CHoCH signals lead to continuation/reversal
Order block zones are simplified (not full ICT methodology)
Structure analysis is subjective - different traders see different swings
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Market structure analysis does not guarantee trade outcomes. Always use proper risk management.
- Made with passion by officialjackofalltrades
ronismc333 דור בן שימול: //+------------------------------------------------------------------+
//| SMC GBP PRO EA – FTMO Ready 30M עם חצים |
//+------------------------------------------------------------------+
#property strict
input double RiskPercent = 1.0;
input int RSIPeriod = 14;
input int StopLossPoints = 200;
input int TakeProfitPoints = 400;
input int MagicNumber = 202630;
input bool EnableAlerts = true;
int rsiHandle;
//+------------------------------------------------------------------+
int OnInit()
{
rsiHandle = iRSI(_Symbol, PERIOD_M30, RSIPeriod, PRICE_CLOSE);
Comment("SMC GBP PRO EA\nStatus: CONNECTED\nAccount: ", AccountNumber());
return(INIT_SUCCEEDED);
}
//+------------------------------------------------------------------+
void OnTick()
{
if(PositionsTotal() > 0)
{
UpdateStatus();
return;
}
double rsi ;
CopyBuffer(rsiHandle,0,0,1,rsi);
double high1 = iHigh(_Symbol, PERIOD_M30,1);
double low1 = iLow(_Symbol, PERIOD_M30,1);
double close1= iClose(_Symbol, PERIOD_M30,1);
double high2 = iHigh(_Symbol, PERIOD_M30,2);
double low2 = iLow(_Symbol, PERIOD_M30,2);
//==== HTF TREND (1H EMA50) ====
double emaHTF = iMA(_Symbol, PERIOD_H1, 50, 0, MODE_EMA, PRICE_CLOSE, 0);
double closeHTF = iClose(_Symbol, PERIOD_H1, 0);
bool htfBull = closeHTF > emaHTF;
bool htfBear = closeHTF < emaHTF;
//==== LIQUIDITY SWEEP ====
bool sweepBuy = low1 < low2 && close1 > low2;
bool sweepSell = high1 > high2 && close1 < high2;
//==== BOS ====
bool bosBuy = sweepBuy && close1 > high2;
bool bosSell = sweepSell && close1 < low2;
//==== BUY/SELL CONDITIONS ====
bool buy = bosBuy && rsi > 50 && htfBull;
bool sell = bosSell && rsi < 50 && htfBear;
double lot = CalculateLot(StopLossPoints, RiskPercent);
if(buy)
{
OpenTrade(ORDER_TYPE_BUY, lot, StopLossPoints, TakeProfitPoints, "BUY GBP");
DrawArrow("BUY", 0, low1 - 10*_Point, clrLime, "BUY GBP");
}
if(sell)
{
OpenTrade(ORDER_TYPE_SELL, lot, StopLossPoints, TakeProfitPoints, "SELL GBP");
DrawArrow("SELL", 0, high1 + 10*_Point, clrRed, "SELL GBP");
}
UpdateStatus();
}
//+------------------------------------------------------------------+
double CalculateLot(int slPoints, double riskPercent)
{
double riskMoney = AccountBalance() * riskPercent / 100.0;
double lot = riskMoney / (slPoints * _Point * 10);
lot = MathMax(lot,0.01);
return(NormalizeDouble(lot,2));
}
//+------------------------------------------------------------------+
void OpenTrade(ENUM_ORDER_TYPE type,double lot,int sl,int tp,string comment)
{
double price = (type==ORDER_TYPE_BUY) ? SymbolInfoDouble(_Symbol,SYMBOL_ASK)
: SymbolInfoDouble(_Symbol,SYMBOL_BID);
double slPrice = (type==ORDER_TYPE_BUY) ? price - sl*_Point
: price + sl*_Point;
double tpPrice = (type==ORDER_TYPE_BUY) ? price + tp*_Point
: price - tp*_Point;
MqlTradeRequest req;
MqlTradeResult res;
ZeroMemory(req);
req.action = TRADE_ACTION_DEAL;
req.symbol = _Symbol;
req.volume = lot;
req.type = type;
req.price = price;
req.sl = slPrice;
req.tp = tpPrice;
req.deviation= 20;
req.magic = MagicNumber;
req.comment = comment;
if(!OrderSend(req,res))
{
Print("Trade failed: ",res.retcode);
if(EnableAlerts) Alert("Trade failed: ",res.retcode);
}
else
{
if(EnableAlerts) Alert(comment," opened at ",price);
Print(comment," opened at ",price);
}
}
//+------------------------------------------------------------------+
void UpdateStatus()
{
string text = "SMC GBP PRO EA\nStatus: CONNECTED\nAccount: "+IntegerToString(AccountNumber());
if(PositionsTotal()>0) text += "\nTrade Open!";
Comment(text);
}
//+------------------------------------------------------------------+
void DrawArrow(string name, int shift, double price, color clr, string text)
{
string objName = name + IntegerToString(TimeCurrent());
if(ObjectFind(0,objName) >=0) ObjectDelete(0,objName);
ObjectCreate(0,objName,OBJ_ARROW,0,Time ,price);
ObjectSetInteger(0,objName,OBJPROP_COLOR,clr);
ObjectSetInteger(0,objName,OBJPROP_WIDTH,2);
ObjectSetInteger(0,objName,OBJPROP_ARROWCODE,233); // חץ
ObjectSetString(0,objName,OBJPROP_TEXT,text);
}
------------------------------------------------------------------+
//| SMC GBP PRO EA – FTMO 30M + TP/SL + Trailing Stop |
//+------------------------------------------------------------------+
#property strict
input double RiskPercent = 1.0;
input int RSIPeriod = 14;
input int StopLossPoints = 200;
input int TakeProfitPoints = 400;
input int MagicNumber = 202630;
input bool EnableAlerts = true;
int rsiHandle;
//+------------------------------------------------------------------+
int OnInit()
{
rsiHandle = iRSI(_Symbol, PERIOD_M30, RSIPeriod, PRICE_CLOSE);
Comment("SMC GBP PRO EA\nStatus: CONNECTED\nAccount: ", AccountNumber());
return(INIT_SUCCEEDED);
}
//+------------------------------------------------------------------+
void OnTick()
{
//
UpdateStatus();
// Trailing Stop
ManageTrailing();
if(PositionsTotal() > 0) return;
double rsi ;
CopyBuffer(rsiHandle,0,0,1,rsi);
double high1 = iHigh(_Symbol, PERIOD_M30,1);
double low1 = iLow(_Symbol, PERIOD_M30,1);
double close1= iClose(_Symbol, PERIOD_M30,1);
double high2 = iHigh(_Symbol, PERIOD_M30,2);
double low2 = iLow(_Symbol, PERIOD_M30,2);
//==== HTF TREND (1H EMA50) ====
double emaHTF = iMA(_Symbol, PERIOD_H1, 50, 0, MODE_EMA, PRICE_CLOSE, 0);
double closeHTF = iClose(_Symbol, PERIOD_H1, 0);
bool htfBull = closeHTF > emaHTF;
bool htfBear = closeHTF < emaHTF;
//==== LIQUIDITY SWEEP ====
bool sweepBuy = low1 < low2 && close1 > low2;
bool sweepSell = high1 > high2 && close1 < high2;
//==== BOS ====
bool bosBuy = sweepBuy && close1 > high2;
bool bosSell = sweepSell && close1 < low2;
//==== BUY/SELL CONDITIONS ====
bool buy = bosBuy && rsi > 50 && htfBull;
bool sell = bosSell && rsi < 50 && htfBear;
double lot = CalculateLot(StopLossPoints, RiskPercent);
if(buy)
{
OpenTrade(ORDER_TYPE_BUY, lot, StopLossPoints, TakeProfitPoints, "BUY GBP");
DrawArrow("BUY", 0, low1 - 10*_Point, clrLime, "BUY GBP");
}
if(sell)
{
OpenTrade(ORDER_TYPE_SELL, lot, StopLossPoints, TakeProfitPoints, "SELL GBP");
DrawArrow("SELL", 0, high1 + 10*_Point, clrRed, "SELL GBP");
}
}
//+------------------------------------------------------------------+
double CalculateLot(int slPoints, double riskPercent)
{
double riskMoney = AccountBalance() * riskPercent / 100.0;
double lot = riskMoney / (slPoints * _Point * 10);
lot = MathMax(lot,0.01);
return(NormalizeDouble(lot,2));
}
//+------------------------------------------------------------------+
void OpenTrade(ENUM_ORDER_TYPE type,double lot,int sl,int tp,string comment)
{
double price = (type==ORDER_TYPE_BUY) ? SymbolInfoDouble(_Symbol,SYMBOL_ASK)
: SymbolInfoDouble(_Symbol,SYMBOL_BID);
double slPrice = (type==ORDER_TYPE_BUY) ? price - sl*_Point
: price + sl*_Point;
double tpPrice = (type==ORDER_TYPE_BUY) ? price + tp*_Point
: price - tp*_Point;
MqlTradeRequest req;
MqlTradeResult res;
ZeroMemory(req);
req.action = TRADE_ACTION_DEAL;
req.symbol = _Symbol;
req.volume = lot;
req.type = type;
req.price = price;
req.sl = slPrice;
req.tp = tpPrice;
req.deviation= 20;
req.magic = MagicNumber;
req.comment = comment;
if(!OrderSend(req,res))
{
Print("Trade failed: ",res.retcode);
if(EnableAlerts) Alert("Trade failed: ",res.retcode);
}
else
{
if(EnableAlerts) Alert(comment," opened at ",price);
Print(comment," opened at ",price);
}
}
//+------------------------------------------------------------------+
void UpdateStatus()
{
string text = "SMC GBP PRO EA\nStatus: CONNECTED\nAccount: "+IntegerToString(AccountNumber());
if(PositionsTotal()>0) text += "\nTrade Open!";
Comment(text);
}
//+------------------------------------------------------------------+
void DrawArrow(string name, int shift, double price, color clr, string text)
{
string objName = name + IntegerToString(TimeCurrent());
if(ObjectFind(0,objName) >=0) ObjectDelete(0,objName);
ObjectCreate(0,objName,OBJ_ARROW,0,Time ,price);
ObjectSetInteger(0,objName,OBJPROP_COLOR,clr);
ObjectSetInteger(0,objName,OBJPROP_WIDTH,2);
ObjectSetInteger(0,objName,OBJPROP_ARROWCODE,233); // חץ
ObjectSetString(0,objName,OBJPROP_TEXT,text);
}
//+------------------------------------------------------------------+
void ManageTrailing()
{
for(int i=PositionsTotal()-1;i>=0;i--)
{
ulong ticket = PositionGetTicket(i);
if(PositionSelectByTicket(ticket))
{
double price = PositionGetDouble(POSITION_PRICE_OPEN);
double sl = PositionGetDouble(POSITION_SL);
double tp = PositionGetDouble(POSITION_TP);
ENUM_POSITION_TYPE type = (ENUM_POSITION_TYPE)PositionGetInteger(POSITION_TYPE);
double newSL = 0;
if(type == POSITION_TYPE_BUY)
{
double trail = SymbolInfoDouble(_Symbol,SYMBOL_BID) - StopLossPoints*_Point;
if(trail > sl) newSL = trail;
}
else if(type == POSITION_TYPE_SELL)
{
double trail = SymbolInfoDouble(_Symbol,SYMBOL_ASK) + StopLossPoints*_Point;
if(trail < sl) newSL = trail;
}
if(newSL != 0)
{
MqlTradeRequest req;
MqlTradeResult res;
ZeroMemory(req);
req.action = TRADE_ACTION_SLTP;
req.symbol = _Symbol;
req.position = ticket;
req.sl = newSL;
req.tp = tp;
OrderSend(req,res);
}
}
}
}
Volume MAs Cloud Trend | Lyro RSVolume MAs Cloud Trend is a volume-weighted trend-following indicator designed to identify market direction, momentum strength, and dynamic trade management directly on price. By combining volume-adjusted moving averages, adaptive deviation bands, and an integrated ATR trailing stop, it delivers clear visual trend structure and actionable signals in a single overlay.
Key Features
Volume-Adjusted Moving Average
Uses a normalized formula: (Price × Volume) MA ÷ Volume MA, ensuring high-participation price moves carry greater influence. Supports 16+ MA types, with VWMA handled natively.
Deviation Band Cloud
Upper and lower bands are built from standard deviation over the MA length, scaled by independent positive and negative multipliers to adapt to volatility.
Cloud & Trail Modes
Cloud Mode visualizes trend structure using a filled band cloud.
Trail Mode switches to an ATR-based trailing stop for trend management.
Automatic Trend Signals
Bullish signals trigger when price crosses above the positive band.
Bearish signals trigger when price crosses below the negative band.
ATR Trailing Stop (Built-In)
A volatility-adjusted trailing stop initializes on each new trend and updates only in the trade direction, helping lock in gains while staying with the trend.
Custom Visuals & Palettes
Choose from Classic, Mystic, Accented, or Royal palettes, or define your own bullish and bearish colors. Includes MA glow, trend cloud fill, and trend-colored candles.
How It Works
MA Construction
Applies the selected moving average to volume-weighted price (or VWMA when selected) to create a participation-aware trend baseline.
Band Calculation
Calculates rolling standard deviation and offsets it using user-defined multipliers to form adaptive upper and lower trend bands.
Trend Detection
Crosses above the upper band confirm bullish momentum.
Crosses below the lower band confirm bearish momentum.
Trailing Stop Logic
On each new trend signal, an ATR-based trailing stop is initialized and dynamically updated in the trend direction.
Visual Synchronization
MA, cloud, trailing stop, and candles all change color in real time to reflect the current trend state.
Practical Use
Trend Confirmation
Sustained price action outside the cloud indicates strong directional momentum.
Breakout Identification
Band crosses highlight potential trend starts, especially when aligned with volatility expansion.
Trade Management
Trail Mode provides objective, volatility-based exits for trend-following strategies.
Quick Market Scanning
Color-coded candles and cloud structure allow fast visual assessment across multiple symbols and timeframes.
Customization
Adjust MA type and length to control responsiveness
Tune band multipliers for volatility sensitivity
Switch between Cloud and Trail modes depending on strategy
Customize color schemes to match your chart layout
⚠️ Disclaimer
This indicator is intended for technical analysis and educational purposes only. It does not guarantee results and should be used alongside proper risk management and additional analysis. The creator is not responsible for any financial decisions made using this tool.
Apex Adaptive TrailApex Adaptive Trail: Adaptive Volatility Trend System
This custom trend-following indicator improves on standard SuperTrend implementations by addressing two key weaknesses: excessive whipsaws during high volatility and false signals in ranging markets.
Core Logic:
- Synthetic Heikin Ashi values are calculated internally (without changing chart candles) to provide smoother source data for trend detection.
- ATR-based trailing stop with adaptive multiplier: dynamically adjusts between 0.8x and 1.5x the base factor based on current volatility (ATR / 50-period SMA of ATR). Widens in volatile conditions, tightens in quiet markets.
- Weighted Confluence Score (0-100%): Combines four independent filters, each contributing 25%:
• Price position relative to 21-period EMA (trend alignment)
• ADX > 20 (momentum strength)
• Choppiness Index < 60 (trending vs ranging detection)
• Alignment with Daily EMA(50) trend direction
Signals are only generated when price crosses the adaptive trail AND the confluence score exceeds 75% (standard) or 90% (MAX 🔥 ultra-strong). This combination significantly reduces low-quality entries compared to traditional SuperTrend crossovers.
Key Features:
- Dynamic confidence cloud (opacity based on score)
- Real-time dashboard showing volatility state, active filters, trend bias, and estimated historical win rate
- Optional dynamic/fixed profit targets
- Fully customizable filters and adaptive behavior
Usage: Best on 15m to 4H timeframes for trend-following strategies (Crypto, Forex, Indices). Enter on APEX signals, use trail as stop-loss, TP lines for partial exits.
This script integrates established concepts into a unique adaptive framework with volatility-responsive risk management and multi-filter validation.
Disclaimer: For educational and analysis purposes only. Past performance is not indicative of future results. Always use proper risk management.
"This script combines established indicators (ATR trailing, ADX, Choppiness Index, EMA, MTF) into a unique adaptive system with dynamic volatility adjustment and weighted confluence scoring – features not found together in standard SuperTrend variations."
[PickMyTrade] Trend strategy for LongThis strategy detects descending trend resistance using pivot-based trendlines and enters long positions when price confirms a breakout above a validated trendline. It is designed to capture bullish trend reversals with strict risk control and flexible exit management.
The system focuses on structural market behavior rather than indicators, making it suitable for traders who prefer price-action-based decision making.
USAGE
This strategy automatically builds trendlines from confirmed pivot highs. A trendline is considered valid only when price has interacted with it a user-defined number of times, ensuring that trades are taken only from well-formed market structures.
A trade is triggered when price closes above a validated descending trendline while optional session and position limits are respected.
All risk and position sizing are calculated automatically based on the selected risk amount and stop-loss distance.
HOW IT WORKS
The strategy identifies swing highs using pivot logic and connects them into descending trendlines. Each trendline must meet a minimum number of touch confirmations before becoming eligible for trading.
When price closes above a valid trendline, the strategy calculates:
Stop-loss placement below the most recent pivot low
Position size based on fixed monetary risk
Profit targets based on the selected exit method
EXIT METHODS
Three exit models are supported:
Risk–Reward Ratio
Uses a fixed multiple of the defined risk distance to set the take-profit level.
Lookback Candle Exit
Exits trades when price shows structural reversal behavior based on recent candles.
Fibonacci Targets
Uses Fibonacci extensions derived from recent swing structure to trail profits dynamically.
An optional trailing stop can also be enabled to protect open profits.
FEATURES
Automatic pivot-based trendline detection
Multi-trendline or single-trendline operation
Dynamic position sizing based on monetary risk
Pivot-based stop-loss placement
Multiple exit methodologies
Optional trailing stop
Optional trading session filter
Fully visualized trendlines, stop levels, and profit targets
SETTINGS
Trend Detection
Pivot Length for Trend
Touch Number
Validation Percentage
Optional Pivot-to-Pivot Confirmation
Risk Management
Fixed Risk Amount
Default Contract Size Option
Stop-Loss Buffer
Trailing Stop Toggle
Take-Profit
Exit Method Selection
Risk-Reward Ratio
Lookback Candle Length
Fibonacci Extension Levels
Session Filter
Enable/Disable Session Trading
Trading Session Time Window
Gold Smart Scalper V3 - Clean ChartOverview
The Gold Smart Scalper V3 is a trend-following momentum strategy specifically optimized for XAU/USD (Gold). It focuses on catching "value pullbacks" within a strong trend, avoiding the noise of sideways markets. Unlike many scalpers that use lagging indicators for exits, this version uses fixed ATR-based targets to lock in profits during high-volatility moves common in Gold.
Core Methodology
The strategy operates on three layers of confirmation:
Macro Trend (HTF Filter): Uses a 50-period EMA to ensure trades are only taken in the direction of the higher-timeframe momentum.
The Value Zone: Instead of "chasing" green or red candles, the script waits for a pullback to the space between the 9 EMA and 21 EMA. This ensures a better risk-to-reward entry point.
The Trigger: A trade is only executed when price confirms the resumption of the trend by crossing back over the signal EMA after the pullback.
Key Features
Fixed Profit Targets: Replaced dynamic trailing stops with fixed Take Profit (TP) and Stop Loss (SL) levels based on ATR, ensuring exits aren't "hunted" by Gold's signature volatility spikes.
C lean Chart Interface : All moving average plots are hidden. The only visuals provided are the active TP/SL levels when a trade is live, keeping your workspace clutter-free.
Single-Trade Logic: The script includes a "One Trade Per Cross" gate, preventing the strategy from over-trading or "stacking" positions during choppy price action.
Settings & OptimizationATR Multipliers :
Stop Loss (SL): Default $2.0 \times ATR$. Protects against standard market noise.Take Profit (TP): Default $3.0 \times ATR$. Designed for a high Risk/Reward profile.Timeframe Recommendation: Optimized for 15m and 1H for swing scalping, or 5m for aggressive scalping.Instrument: Specifically tuned for Gold (XAU/USD), but applicable to other high-volatility pairs like GBP/JPY or NASDAQ.
Disclaimer
This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Always practice proper risk management.
Fractal Fade Pro IndicatorA revolutionary contrarian trading indicator that applies chaos theory, fractal mathematics, and market entropy to generate high-probability reverse signals. This indicator fades traditional technical signals, providing BUY signals when conventional indicators say SELL, and SELL signals when they say BUY.
Full Description:
Most traders follow the herd. QFCI does the opposite. It identifies when conventional technical analysis is about to fail by detecting mathematical patterns of exhaustion in market structure.
How It Works (Technical Overview):
The indicator combines three sophisticated mathematical approaches:
Fractal Dimension Analysis: Measures the "roughness" of price movements using fractal mathematics
Market Entropy Calculation: Quantifies the randomness and disorder in price returns using information theory
Phase Space Reconstruction: Analyzes price evolution in multi-dimensional state space from chaos theory
Signal Generation Process:
Step 1: Market Regime Detection
Chaotic Regime: High fractal complexity + rising entropy (avoid trading)
Trending Regime: Low fractal complexity + high phase space distance (fade breakouts)
Mean-Reverting Regime: Very low fractal complexity (fade extremes)
Step 2: Reverse Signal Logic
When traditional indicators would give:
BUY signal (breakout, oversold bounce, volatility spike) → QFCI shows SELL
SELL signal (breakdown, overbought rejection, volatility crash) → QFCI shows BUY
Step 3: Smart Signal Filtering
No consecutive same-direction signals
Adjustable minimum bars between signals
Multiple confirmation layers required
Unique Features:
1. Mathematical Innovation:
Original fractal dimension algorithm (not standard indicators)
Market entropy calculation from information theory
Phase space reconstruction from chaos theory
Multi-regime adaptive logic
2. Trading Psychology Advantage:
Contrarian by design - profits from market overreactions
Fades retail trader mistakes - enters when others are exiting
Reduces overtrading - strict signal frequency controls
3. Clean Visual Interface:
Only BUY/SELL labels - no chart clutter
Clear directional arrows - immediate signal recognition
Built-in alerts - never miss a trade
Recommended Settings:
Default (Balanced Approach):
Fractal Depth: 20
Entropy Period: 200
Min Bars Between Signals: 100
Aggressive Trading:
Fractal Depth: 10-15
Entropy Period: 100-150
Min Bars Between Signals: 50-75
Conservative Trading:
Fractal Depth: 30-40
Entropy Period: 300-400
Min Bars Between Signals: 150-200
Optimal Timeframes:
Primary: Daily, Weekly (best performance)
Secondary: 4-Hour, 12-Hour
Can work on: 1-Hour (with adjusted parameters)
How to Use:
For Beginners:
Apply indicator to chart
Use default settings
Wait for BUY/SELL labels
Enter on next candle open
Use 2:1 risk/reward ratio
Always use stop losses
For Advanced Traders:
Adjust parameters for your trading style
Combine with support/resistance levels
Use volume confirmation
Scale in/out of positions
Track performance by regime
Risk Management Guidelines:
Position Sizing:
Conservative: 1-2% risk per trade
Moderate: 2-3% risk per trade
Aggressive: 3-5% risk per trade (not recommended)
Stop Loss Placement:
BUY signals: Below recent swing low or -2x ATR
SELL signals: Above recent swing high or +2x ATR
Take Profit Targets:
Primary: 2x risk (minimum)
Secondary: Previous support/resistance
Tertiary: Trailing stops after 1.5x risk
IMPORTANT RISK DISCLOSURE
This indicator is for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for every investor. The risk of loss in trading can be substantial. You should therefore carefully consider whether such trading is suitable for you in light of your financial condition.
Gyspy Bot Trade Engine - V1.2B - Alerts - 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Alerts & Visualization
Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙
1. Executive Summary & Architecture
Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script V6 environment. While most tools rely on a single dominant indicator to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm.
Note: This is the Indicator / Alerts version of the engine. It is designed for visual analysis and generating live alert signals for automation. If you wish to see Backtest data (Equity Curves, Drawdown, Profit Factors), please use the Strategy version of this script.
The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only fires a signal plot when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction.
Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to signal forced exits, preserving capital during Black Swan events.
2. ⚠️ The Philosophy of "Curve Fitting" (Must Read)
One must be careful when applying Gypsy Bot to new pairs or charts.
To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the charts look perfect in hindsight, only to have the signals fail in live markets because they were tuned to historical noise rather than market structure.
To use this engine successfully:
Visual Verification: Do not just look for "green arrows." Look for signals that occur at logical market structure points.
Stability: Ensure signals are not flickering. This script uses closed-candle logic for key decisions to ensure that once a signal plots, it remains painted.
Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Gypsy Bot settings should be reviewed and adjusted at regular intervals to ensure the voting logic remains aligned with current market volatility.
Timeframe Recommendations:
Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets.
3. The Voting Mechanism: How Entries Are Generated
The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings).
The engine constantly monitors the output of all enabled Modules.
Long Votes: GoLongCount
Short Votes: GoShortCount
If you have 10 Modules enabled, and you set ActivateOrders to 7:
The engine will ONLY plot a Buy Signal if 7 or more modules return a valid "Buy" signal on the same closed candle.
If only 6 modules agree, the signal is rejected.
4. Technical Deep Dive: The 12 Modules
Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading.
Module 1: Modified Slope Angle (MSA)
Logic: Calculates the geometric angle of a moving average relative to the timeline.
Function: Filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold.
Module 2: Correlation Trend Indicator (CTI)
Logic: Measures how closely the current price action correlates to a straight line (a perfect trend).
Function: Ensures that we are moving up with high statistical correlation, reducing fake-outs.
Module 3: Ehlers Roofing Filter
Logic: A spectral filter combining High-Pass (trend removal) and Super Smoother (noise removal).
Function: Isolates the "Roof" of price action to catch cyclical turning points before standard moving averages.
Module 4: Forecast Oscillator
Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is.
Function: Signals when the regression trend flips. Offers "Aggressive" and "Conservative" calculation modes.
Module 5: Chandelier ATR Stop
Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from extremes.
Function: Used as an entry filter. If price is above the Chandelier line, the trend is Bullish.
Module 6: Crypto Market Breadth (CMB)
Logic: Pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts).
Function: Calculates "Market Health." If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade.
Module 7: Directional Index Convergence (DIC)
Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices.
Function: Identifies when trend strength is expanding.
Module 8: Market Thrust Indicator (MTI)
Logic: A volume-weighted breadth indicator using Advance/Decline and Volume data.
Function: One of the most powerful modules. Confirms that price movement is supported by actual volume flow. Recommended setting: "SSMA" (Super Smoother).
Module 9: Simple Ichimoku Cloud
Logic: Traditional Japanese trend analysis.
Function: Checks for a "Kumo Breakout." Price must be fully above/below the Cloud to confirm entry.
Module 10: Simple Harmonic Oscillator
Logic: Analyzes harmonic wave properties to detect cyclical tops and bottoms.
Function: Serves as a counter-trend or early-reversal detector.
Module 11: HSRS Compression / Super AO
Logic: Detects volatility compression (HSRS) or Momentum/Trend confluence (Super AO).
Function: Great for catching explosive moves resulting from consolidation.
Module 12: Fisher Transform (MTF)
Logic: Converts price data into a Gaussian normal distribution.
Function: Identifies extreme price deviations. Uses Multi-Timeframe (MTF) logic to ensure you aren't trading against the major trend.
5. Global Inhibitors (The Veto Power)
Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors.
Bitcoin Halving Logic: Prevents trading during chaotic weeks surrounding Halving events (dates projected through 2040).
Miner Capitulation: Uses Hash Rate Ribbons to identify bearish regimes when miners are shutting down.
ADX Filter: Prevents trading in "Flat/Choppy" markets (Low ADX).
CryptoCap Trend: Checks the total Crypto Market Cap chart for broad market alignment.
6. Risk Management & The Dump Protection Team (DPT)
Even in this Indicator version, the RM logic runs to generate Exit Signals.
Dump Protection Team (DPT): Detects "Nuke" (Crash) or "Moon" (Pump) volatility signatures. If triggered, it plots an immediate Exit Signal (Yellow Plot).
Advanced Adaptive Trailing Stop (AATS): Dynamically tightens stops in low volatility ("Dungeon") and loosens them in high volatility ("Penthouse").
Staged Take Profits: Plots TP1, TP2, and TP3 events on the chart for visual confirmation or partial exit alerts.
7. Recommended Setup Guide
When applying Gypsy Bot to a new chart, follow this sequence:
Set Timeframe: 4 Hours (4H).
Tune DPT: Adjust "Dump/Moon Protection" inputs first. These filter out bad signals during high volatility.
Tune Module 8 (MTI): Experiment with the MA Type (SSMA is recommended).
Select Modules: Enable/Disable modules based on the asset's personality (Trending vs. Ranging).
Voting Threshold: Adjust ActivateOrders to filter out noise.
Alert Setup: Once visually satisfied, use the "Any Alert Function Call" option when creating an alert in TradingView to capture all Buy/Sell/Close events generated by the engine.
8. Technical Specs
Engine Version: Pine Script V6
Repainting: This indicator uses Closed Candle data for all Risk Management and Entry decisions. This ensures that signals do not vanish after the candle closes.
Visuals:
Blue Plot: Buy/Sell Signal.
Yellow Plot: Risk Management (RM) / DPT Close Signal.
Green/Lime/Olive Plots: Take Profit hits.
Disclaimer:
This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Cryptocurrency trading involves substantial risk of loss. Use this tool to assist your own decision-making, not to replace it.
9. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management.
We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to:
Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators
Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend
If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
ChronoPulse MS-MACD Resonance StrategyChronoPulse MS-MACD Resonance Strategy
A systematic trading strategy that combines higher-timeframe market structure analysis with dual MACD momentum confirmation, ATR-based risk management, and real-time quality assurance monitoring.
Core Principles
The strategy operates on the principle of multi-timeframe confluence, requiring agreement between:
Market structure breaks (CHOCH/BOS) on a higher timeframe
Dual MACD momentum confirmation (classic and crypto-tuned profiles)
Trend alignment via directional EMAs
Volatility and volume filters
Quality score composite threshold
Strategy Components
Market Structure Engine : Detects Break of Structure (BOS) and Change of Character (CHOCH) events using confirmed pivots on a configurable higher timeframe. Default structure timeframe is 240 minutes (4H).
Dual MACD Fusion : Requires agreement between two MACD configurations:
Classic MACD: 12/26/9 (default)
Fusion MACD: 8/21/5 (default, optimized for crypto volatility)
Both must agree on direction before trade execution. This can be disabled to use single MACD confirmation.
Trend Alignment : Uses two EMAs for directional bias:
Directional EMA: 55 periods (default)
Execution Trend Guide: 34 periods (default)
Both must align with trade direction.
ATR Risk Management : All risk parameters are expressed in ATR multiples:
Stop Loss: 1.5 × ATR (default)
Take Profit: 3.0 × ATR (default)
Trail Activation: 1.0 × ATR profit required (default)
Trail Distance: 1.5 × ATR behind price (default)
Volume Surge Filter : Optional gate requiring current volume to exceed a multiple of the volume SMA. Default threshold is 1.4× the 20-period volume SMA.
Quality Score Gate : Composite score (0-1) combining:
Structure alignment (0.0-1.0)
Momentum strength (0.0-1.0)
Trend alignment (0.0-1.0)
ATR volatility score (0.0-1.0)
Volume intensity (0.0-1.0)
Default threshold: 0.62. Trades only execute when quality score exceeds this threshold.
Execution Discipline : Trade budgeting system:
Maximum trades per session: 6 (default)
Cooldown bars between entries: 5 (default)
Quality Assurance Console : Real-time monitoring panel displaying:
Structure status (pass/fail)
Momentum confirmation (pass/fail)
Volatility readiness (pass/fail)
Quality score (pass/fail)
Discipline compliance (pass/fail)
Performance metrics (win rate, profit factor)
Net PnL
Certification requires: Win Rate ≥ 40%, Profit Factor ≥ 1.4, Minimum 25 closed trades, and positive net profit.
Integrity Suite : Optional validation panel that audits:
Configuration sanity checks
ATR data readiness
EMA hierarchy validity
Performance realism checks
Strategy Settings
strategy(
title="ChronoPulse MS-MACD Resonance Strategy",
shorttitle="ChronPulse",
overlay=true,
max_labels_count=500,
max_lines_count=500,
initial_capital=100000,
currency=currency.USD,
pyramiding=0,
commission_type=strategy.commission.percent,
commission_value=0.015,
slippage=2,
default_qty_type=strategy.percent_of_equity,
default_qty_value=2.0,
calc_on_order_fills=true,
calc_on_every_tick=true,
process_orders_on_close=true
)
Key Input Parameters
Structure Timeframe : 240 (4H) - Higher timeframe for structure analysis
Structure Pivot Left/Right : 3/3 - Pivot confirmation periods
Structure Break Buffer : 0.15% - Buffer for structure break confirmation
MACD Fast/Slow/Signal : 12/26/9 - Classic MACD parameters
Fusion MACD Fast/Slow/Signal : 8/21/5 - Crypto-tuned MACD parameters
Directional EMA Length : 55 - Primary trend filter
Execution Trend Guide : 34 - Secondary trend filter
ATR Length : 14 - ATR calculation period
ATR Stop Multiplier : 1.5 - Stop loss in ATR units
ATR Target Multiplier : 3.0 - Take profit in ATR units
Trail Activation : 1.0 ATR - Profit required before trailing
Trail Distance : 1.5 ATR - Distance behind price
Volume Threshold : 1.4× - Volume surge multiplier
Quality Threshold : 0.62 - Minimum quality score (0-1)
Max Trades Per Session : 6 - Daily trade limit
Cooldown Bars : 5 - Bars between entries
Win-Rate Target : 40% - Minimum for QA certification
Profit Factor Target : 1.4 - Minimum for QA certification
Minimum Trades for QA : 25 - Required closed trades
Signal Generation Logic
A trade signal is generated when ALL of the following conditions are met:
Higher timeframe structure shows bullish (CHOCH/BOS) or bearish structure break
Both MACD profiles agree on direction (if fusion enabled)
Price is above both EMAs for longs (below for shorts)
ATR data is ready and above minimum threshold
Volume exceeds threshold × SMA (if volume gate enabled)
Quality score ≥ quality threshold
Trade budget available (under max trades per day)
Cooldown period satisfied
Risk Management
Stop loss and take profit are set immediately on entry
Trailing stop activates after 1.0 ATR of profit
Trailing stop maintains 1.5 ATR distance behind highest profit point
Position sizing uses 2% of equity per trade (default)
No pyramiding (single position per direction)
Limitations and Considerations
The strategy requires sufficient historical data for higher timeframe structure analysis
Quality gate may filter out many potential trades, reducing trade frequency
Performance metrics are based on historical backtesting and do not guarantee future results
Commission and slippage assumptions (0.015% + 2 ticks) may vary by broker
The strategy is optimized for trending markets with clear structure breaks
Choppy or ranging markets may produce false signals
Crypto markets may require different parameter tuning than traditional assets
Optimization Notes
The strategy includes several parameters that can be tuned for different market conditions:
Quality Threshold : Lower values (0.50-0.60) allow more trades but may reduce average quality. Higher values (0.70+) are more selective but may miss opportunities.
Structure Timeframe : Use 240 (4H) for intraday trading, Daily for swing trading, Weekly for position trading
Volume Gate : Disable for low-liquidity pairs or when volume data is unreliable
Dual MACD Fusion : Disable for mean-reverting markets where single MACD may be more responsive
Trade Discipline : Adjust max trades and cooldown based on your risk tolerance and market volatility
Non-Repainting Guarantee
All higher timeframe data requests use lookahead=barmerge.lookahead_off to prevent repainting. Pivot detection waits for full confirmation before registering structure breaks. All visual elements (tables, labels) update only on closed bars.
Alerts
Three alert conditions are available:
ChronoPulse Long Setup : Fires when all long entry conditions are met
ChronoPulse Short Setup : Fires when all short entry conditions are met
ChronoPulse QA Certification : Fires when Quality Assurance console reaches CERTIFIED status
Configure alerts with "Once Per Bar Close" delivery to match the non-repainting design.
Visual Elements
Structure Labels : CHOCH↑, CHOCH↓, BOS↑, BOS↓ markers on structure breaks
Directional EMA : Orange line showing trend bias
Trailing Stop Lines : Green (long) and red (short) trailing stop levels
Dashboard Panel : Real-time status display (structure, MACD, ATR, quality, PnL)
QA Console : Quality assurance monitoring panel
Integrity Suite Panel : Optional validation status display
Recommended Usage
Forward test with paper trading before live deployment
Monitor the QA console until it reaches CERTIFIED status
Adjust parameters based on your specific market and timeframe
Respect the trade discipline limits to avoid over-trading
Review quality scores and adjust threshold if needed
Use appropriate commission and slippage settings for your broker
Technical Implementation
The strategy uses Pine Script v6 with the following key features:
Multi-timeframe data requests with lookahead protection
Confirmed pivot detection for structure analysis
Dynamic trailing stop management
Real-time quality score calculation
Trade budgeting and cooldown enforcement
Comprehensive dashboard and monitoring panels
All source code is open and available for review and modification.
Disclaimer
This script is for educational and informational purposes only. It is not intended as financial, investment, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any losses incurred from using this strategy.
FCPO MASTER v6 – Sideway + Breakout + OB + FVG (TUPLE SAFE)TL;DR cepat
1. Gunakan M5 untuk entry & OB/FVG confirmation.
2. Gunakan M15 untuk confirm trend/false breakout.
3. Gunakan H1 untuk bias arah (overall market).
4. Entry hanya bila signal + OB/FVG/candle rejection (script buatkan).
5. SL 5–8 tick, TP 10–25 tick ikut setup (sideway vs breakout).
6. Follow checklist setiap trade — jangan lompat.
________________________________________
Setup awal (1–2 min)
1. Pasang script FCPO Sideway MASTER – OB + Imbalance + Confirmation di TradingView.
2. Timeframes: buka M5, M15, H1 (susun 3 chart atau 1 chart multi-timeframe).
3. Input default: ATR14, Breakout Buffer 5 tick, RangeLen 20, ADX14, TP12, SL8. (Kau boleh tweak nanti).
4. Aktifkan alerts pada BUY Confirm / SELL Confirm / Sideway Buy / Sideway Sell.
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Step-by-step trading process
1) Mulakan dengan H1 — tentukan bias HTF
• Lihat H1 untuk jawapan: Trend Up / Down / Sideway.
• Rule ringkas:
o ADX H1 > 20 + price above H1 EMA → bias Bull
o ADX H1 > 20 + price below H1 EMA → bias Bear
o ADX H1 < 20 → market HTF sideway (no strong bias)
Kenapa: H1 bagi kau idea “kalau breakout pada M5, patut follow atau tolak”.
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2) Pergi ke M15 — confirm trend & valid breakout
• M15 kena setuju dengan idea breakout.
o Untuk strong breakout: M15 kena tunjuk candle close di atas/bawah range + volume naik.
o Kalau M5 breakout tapi M15 tak setuju (M15 masih sideway) → treat as fakeout. Jangan masuk.
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3) M5 — cari entry & confirmation (OB/FVG + candle)
• M5 adalah tempat kau buat keputusan masuk.
• Tunggu script keluarkan Sideway Buy/Sell atau Breakout Buy/Sell.
• CONFIRM entry mesti ada sekurang-kurangnya 1 dari:
o Bull/Bear Order Block searah signal (script detect).
o FVG / Imbalance zone dipenuhi & price retest.
o Candle rejection (pinbar / bearish/bullish engulfing) pada zone.
Jika tiada confirmation → no trade.
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4) Checklist sebelum tekan Buy/Sell (MUST)
• H1 bias tidak melawan trade (prefer sama arah).
• M15 confirm breakout / trend or neutral.
• Script keluarkan signal (sideway or breakout).
• OB or FVG atau candle rejection ada.
• ATR kenaikan jika breakout (untuk breakout trade).
• Volume spike jika breakout.
• Risk:SL <= 2% akaun (position sizing).
Kalau semua ticked → boleh entry.
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5) Setting SL / TP & position sizing
• Sideway (scalp): SL = 5–8 tick, TP = 8–12 tick.
• Breakout (trend): SL = 8–12 tick, TP = 15–25+ tick (trail later).
• Position sizing: Risk per trade 1–2%.
o Lot size = (Account Risk RM × 1 tick value) / (SL ticks × tickValue) — (kalau kau gunakan fixed tick value, adjust ikut lot).
(Script tunjuk SL & TP label — follow itu.)
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6) Entry types
• A. Sideway Reversal (M5)
o Signal: Sideway Buy / Sideway Sell
o Confirm: OB/FVG or rejection candle at range bottom/top
o Trade: scalp target 8–12 tick, tight SL 5–8 tick
• B. Breakout (M5 entry, M15 confirm)
o Signal: Breakout Buy/Sell (Strong)
o Confirm: ATR expanding + volume spike + M15 alignment
o Trade: trend follow, TP 15–25 tick, trailing stop active
• C. Retest Entry
o Breakout happens, price returns to retest range / OB / FVG → wait for rejection candle then enter. Safer.
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7) Trailing & exit rules
• Jika useTrail = true script plots trailing stop (ATR × multiplier).
• Exit rules:
1. Hit TP → close.
2. Hit SL → close.
3. If trailing stop hit → close.
4. If opposing confirmed signal muncul (e.g., SELL confirm while long) → consider close early.
5. If H1 bias flips strongly vs trade → tighten stop or close.
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8) Multiple signals & scaling
• Never add to losing position (no averaging down).
• If want scale-in on confirmed trend: add 1 partial size after price moves +10–12 tick in favor and shows continuation candle + no bearish OB/FVG.
• Keep aggregated risk within your max (2–3%).
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9) Example trade walkthrough (concrete)
• RangeHigh = 4065, RangeLow = 4035 (contoh).
• Market sideway M5.
Case A — Sideway Sell:
1. Price touches 4064–4065, script shows sidewaySell.
2. Lihat OB: ada bear OB zone di 4062–4066 → confirm.
3. Candle rejection (bearish pinbar) muncul → enter SELL M5.
4. Set SL = 5 tick above rangeHigh = 4070, TP = 10 tick → 4055.
5. Trail jika price turun > 8 tick: aktifkan trailing.
6. Close at TP or trail/SL.
Case B — Breakout Buy:
1. Price closes above 4065 + 5 tick buffer = 4070 on M5. Script shows trueBreakUp.
2. M15 shows candle close above M15 resistance + volume spike → confirm.
3. Enter BUY, SL = 8 tick below entry, TP initial 20 tick, trail with ATR×1.5.
4. Move stop to breakeven after +10 tick, scale out half at +12 tick, leave rest to trail.
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10) Journal & review
• Semua trade: record entry time, TF, reason (which confirmations), SL/TP, result, lesson.
• Weekly review: check which confirmation worked best (OB vs FVG vs candle) and tweak settings.
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11) Tweaks / optimisations cepat
• Jika terlalu banyak false sideway signals → kurangkan touchDist ke 2 tick.
• Kalau fakeout breakout banyak → tambah tickBuf ke 6–8.
• Nak lebih konservatif → cuma trade breakout yang juga setuju M15.
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12) Alerts & execution (practical)
• Pasang alert pada BUY Confirm / SELL Confirm (script).
• Kalau kau guna broker yang support one-click order, siap sediakan template order (SL/TP default).
• Kalau manual, bila alert masuk: buka M5, cepat confirm OB/FVG & candle rejection → entry.
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Quick reference table (handy)
• TF utama entry: M5
• Confirm mid-TF: M15
• Bias HTF: H1
• Sideway SL/TP: SL 5–8, TP 8–12
• Breakout SL/TP: SL 8–12, TP 15–25+
• Mandatory confirmation: (Script signal) + (OB or FVG or candle)
Smart MACD Crossover█ OVERVIEW
Smart MACD Crossover is an indicator designed for traders who trade based on MACD line crossovers. It significantly reduces the number of false crossover signals by adding a breakout-box confirmation mechanism. Price must close outside the box created at the moment of the MACD crossover for a signal to trigger. The script also includes optional scaled MACD lines on the price chart, candle coloring, multi-layer “fog” visualization, fully customizable entry signals, automatic Take Profit / Stop Loss levels and a real-time table.
█ CONCEPTS
Standard MACD crossovers frequently produce noise, especially in ranging markets. Smart MACD Crossover attempts to solve this issue: a horizontal box is drawn at the exact bar where the crossover occurs, and a trade signal is generated only when price actually breaks out of that box. By default, the show_only_matching filter is enabled — signals are shown only when the breakout direction matches the original MACD crossover direction (bullish box → long only, bearish box → short only).
█ FEATURES
Fully configurable classic MACD (default 12/26/9)
Optional MACD & Signal lines scaled and plotted directly on the price chart (show_macd_overlay)
Trend-based candle coloring
One-Side Histogram Fog:
- 6 layers above and 6 layers below hl2
- layer height based on average candle size × offset_mult (default 0.7)
- increasing transparency (base 80 + increment 4) for depth effect
- fully customizable colors
Breakout Boxes:
- created on every MACD crossover
- default height = high-low of the signal candle
- optional extension using average candle size × box_multiplier
- semi-transparent fill (85) with colored borders, extended right until breakout
Signals:
- Triangles or “BUY” / “SELL” labels
- show_only_matching filter (enabled by default) — only direction-consistent breakouts generate signals
- when disabled, every box breakout generates a signal according to breakout direction
- Built-in alerts: BUY and SELL
Take Profit / Stop Loss:
- TP1, TP2, TP3 and SL levels drawn automatically after each confirmed signal
- two modes: Candle Multiplier (based on average candle size) or Percentage
- all multipliers/percentages fully adjustable in “Risk Management Settings”
- real-time table in the top-right corner showing current TP/SL prices
█ HOW TO USE
Add via Pine Editor → paste code → Add to Chart.
Settings overview:
- MACD Settings: lengths and source
- Risk Management Settings: TP/SL mode, multipliers/percentages, average candle period
- MACD Overlay Lines: toggle scaled MACD lines on price chart
- Fog: enable/disable, adjust height and transparency
- Visual Settings: candle coloring
- Boxes: optional size multiplier (use_box_multiplier)
- Signals: choose Triangles or Labels, enable/disable direction filter
Signal meaning:
- Triangle below bar / “BUY” label → upward breakout from a box created after bullish MACD crossover
- Triangle above bar / “SELL” label → downward breakout from a box created after bearish MACD crossover
- Open boxes = pending breakout zones
- Fog below price = bullish pressure, fog above price = bearish pressure
█ APPLICATIONS
The indicator reduces false signals coming from plain MACD crossovers. For additional trend confirmation, the scaled MACD lines can be enabled.
Entry into a position is triggered by the BUY/SELL signal generated after the breakout. The TP1–TP3 and SL levels are drawn automatically only for convenience and as a quick reference – they are fully optional and traders can (and usually should) use their own preferred exit strategies, trailing stops, partial closes, or other money-management methods.
█ NOTES
- Due to MACD line scaling onto the price chart, classic MACD divergences cannot be identified
Price Volume Heatmap [MHA Finverse]Price Volume Heatmap - Advanced Volume Profile Analysis
Unlock the power of institutional-level volume analysis with the Price Volume Heatmap indicator. This sophisticated tool visualizes market structure through volume distribution across price levels, helping you identify key support/resistance zones, high-probability reversal areas, and optimal entry/exit points.
🎯 What Makes This Indicator Unique?
Unlike traditional volume indicators that only show volume over time, this heatmap displays volume distribution across price levels , revealing where the most significant trading activity occurred. The gradient coloring system instantly highlights high-volume nodes (areas of strong interest) and low-volume nodes (potential breakout zones).
📊 Core Features
1. Dynamic Volume Heatmap
- Visualizes volume concentration across 250 customizable price levels
- Gradient color scheme from high volume (white) to low volume (teal/green)
- Adjustable brightness multiplier for enhanced contrast and clarity
- Real-time updates as market conditions evolve
2. Point of Control (POC)
- Automatically identifies the price level with the highest traded volume
- Acts as a magnetic price level where markets often return
- Critical for identifying fair value areas and potential reversal zones
- Customizable line style, width, and color
3. Flexible Lookback Settings
- Lookback Bars: Set any value from 1-5000 bars to control analysis depth
- Visible Range Mode: Analyze only what's currently visible on your chart
- Timeframe-Specific Settings: Different lookback periods for 1m, 5m, 15m, 30m, 1h, Daily, and Weekly charts
- Adapts to your trading style - scalping to position trading
4. Session Separation Analysis
- Tokyo Session: 00:00-09:00 UTC
- London Session: 07:00-16:00 UTC
- New York Session: 13:00-22:00 UTC
- Sydney Session: 21:00-06:00 UTC
- Daily Reset: Analyze each trading day independently
Session separation allows you to understand volume distribution specific to each major trading session, revealing institutional order flow patterns and session-specific support/resistance levels.
5. Profile Width Options
- Dynamic: Profile width adjusts based on lookback period
- Fixed Bars: Set a specific bar count for consistent profile width
- Extend Forward: Project the profile into future bars for planning trades
6. Smart Alerts
- POC crossover/crossunder alerts
- New session start notifications
- Never miss critical price action at high-volume nodes
📈 How to Use This Indicator Professionally
Understanding Market Structure:
High Volume Nodes (HVN):
- Appear as bright/white areas in the heatmap
- Represent price levels where significant trading occurred
- Act as strong support/resistance zones
- Markets often consolidate or bounce from these levels
- Trading Strategy: Look for entries when price tests HVN areas with confluence from other indicators
Low Volume Nodes (LVN):
- Appear as darker/teal areas in the heatmap
- Represent price levels with minimal trading activity
- Price tends to move quickly through these areas
- Often form "gaps" in the volume profile
- Trading Strategy: Expect rapid price movement through LVN zones; avoid placing stop losses here
Point of Control (POC):
- The single most important price level in your analysis window
- Represents the fairest price where maximum volume traded
- Price gravitates toward POC like a magnet
- Trading Strategy:
* When price is above POC: bullish bias, POC acts as support
* When price is below POC: bearish bias, POC acts as resistance
* POC breaks often lead to significant trend changes
Session-Based Analysis:
Use session separation to understand how different market participants trade:
Asian Session (Tokyo/Sydney):
- Typically lower volatility and range-bound
- Volume profiles often show tight, balanced distribution
- Use for identifying overnight ranges and gap fill zones
London Session:
- Highest volume session for forex pairs
- Often shows strong directional bias
- Look for breakouts from Asian ranges during London open
New York Session:
- Maximum participation when overlapping with London
- Institutional order flow most visible
- POC during NY session often becomes key level for following sessions
🎯 Practical Trading Applications
1. Identifying Support & Resistance:
High volume nodes from the heatmap are far more reliable than traditional swing highs/lows. When price approaches an HVN, expect reaction - either a bounce or a significant breakout if breached.
2. Trend Confirmation:
- Healthy uptrend: POC rising over time, HVN forming at higher levels
- Healthy downtrend: POC falling over time, HVN forming at lower levels
- Consolidation: POC relatively flat, volume balanced across range
3. Breakout Trading:
When price breaks through a Low Volume Node with momentum, it often continues to the next High Volume Node. Use LVN areas as measured move targets.
4. Reversal Zones:
Multiple HVN stacking on top of each other creates a "volume shelf" - an extremely strong support/resistance zone where reversals are highly probable.
5. Risk Management:
- Place stops beyond HVN areas (not within LVN zones)
- Size positions based on distance to nearest HVN
- Use POC as trailing stop level in trending markets
⚙️ Recommended Settings
For Day Trading (Scalping/Intraday):
- Lookback: 200-500 bars
- Rows: 200-250
- Enable session separation for your primary trading session
- Profile Width: Dynamic or Fixed Bars (30-50)
For Swing Trading:
- Lookback: 500-1000 bars
- Rows: 250
- Session separation: Daily Reset
- Profile Width: Dynamic
For Position Trading:
- Lookback: 1000-3000 bars
- Rows: 250
- Use timeframe-specific settings
- Profile Width: Extend Forward (20-50 bars)
💡 Pro Tips
1. Combine this indicator with price action analysis - volume confirms what price is telling you
2. Watch for POC convergence with other technical levels (fibonacci, pivot points, moving averages)
3. Volume at extremes (tops/bottoms of heatmap) often indicates exhaustion
4. Session POC from previous sessions often acts as magnet for current session
5. Increase brightness multiplier (1.5-2.5) for clearer visualization on busy charts
6. Use "Number of Sessions to Display" to analyze consistency of volume levels across multiple sessions
🎨 Customization
Fully customizable visual appearance:
- Gradient colors for volume visualization
- POC line thickness, color, and style
- Session line colors and visibility
- All settings organized in intuitive groups
⚠️ Disclaimer
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always combine volume analysis with proper risk management, fundamental analysis, and other technical indicators. Past performance does not guarantee future results.
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Support & Updates
Regular updates and improvements are made to enhance functionality. For questions, suggestions, or bug reports, please use the comments section below.
Happy Trading! 📊💹
MTF Trading Helper & Multi AlertsHi dear fellows, I´m using this indicator for my trading, so every then and when I will publish updates on this one.
This indicator should help to identify the right trading setup. I´m using it to trade index futures and stocks.
MTF Trading Helper & Multi Alerts
Overview
This indicator provides a clear visual representation of trend direction across three timeframes. It helps traders identify trend alignment, potential reversals, and optimal entry/exit points by analyzing the relationship between different smoothed timeframes.
You can set up multiple alerts (as one alert in Tradingview)
How It Works
The indicator displays three colored circles representing the smoothed candle direction on three different timeframes:
Bottom plot represents the overall trend direction, the plot in the middle shows intermediate momentum, and the one on top captures short-term price action.
When a color change occurs, the circle appears in a darker shade to highlight the transition.
🟢 Green = Bullish - 🔴 Red = Bearish
This change can also trigger multiple alerts.
Timeframe Settings - important
Choose between two trading setups, either for:
Intraday 1-minute candles or 1h for swing trading. Set up your chart accordingly to that timeframe.
Intraday | 1Min chart candles
Swing | 1 hour chart candles
Plots
TF3 represents the overall trend direction (bottom), TF2 shows intermediate momentum (middle), and TF1 captures short-term price action (top).
Interpretation & Strategy Alerts
1. Trend Bullish (TF3 turns Green)
The higher timeframe has shifted bullish - a potential new uptrend is forming.
Example: You're watching ES-mini on the Intraday setting. TF3 turns green after being red for several days. This signals the broader trend may be shifting bullish - consider looking for long opportunities.
2. Trend Bearish (TF3 turns Red)
The higher timeframe has shifted bearish - consider protecting profits or exiting long positions.
Example: You hold a long position in Es-mini. TF3 turns red, indicating the macro trend is weakening. This is your signal to take profits or tighten stop-losses.
3. Possible Accumulation (TF3 Red + TF2 turns Green)
While the overall trend is still bearish, the medium timeframe shows buying pressure. Smart money may be accumulating - watch closely for a potential trend reversal.
Example: Es-mini has been in a downtrend (TF3 red). Suddenly TF2 turns green while TF3 remains red. This could indicate institutional buying before a reversal. Don't buy yet, but add it to your watchlist and wait for confirmation.
4. Trend Continuation (TF3 Green + TF2 turns Green)
The medium timeframe realigns with the bullish macro trend - a potential buying opportunity as momentum returns to the uptrend.
Example: Es-mini is in an uptrend (TF3 green). After a pullback, TF2 was red but now turns green again. The pullback appears to be over - this is a trend continuation signal and a potential entry point.
5. Buy the Dip (TF3 + TF2 Green + TF1 turns Green)
All timeframes are now aligned bullish. The short-term pullback is complete and price is resuming the uptrend - optimal entry for short-term trades.
Example: Es-mini is trending up (TF3 + TF2 green). A small dip caused TF1 to turn red briefly. When TF1 turns green again, all three timeframes are aligned - this is your "Buy the Dip" signal with strong confirmation.
6. Sell the Dip (TF3 + TF2 Green + TF1 turns Red)
Short-term weakness within an uptrend. This can be used to take partial profits, wait for a better entry, or trail stops tighter.
Example: You're long on ES-mini with TF3 and TF2 green. TF1 turns red, indicating short-term selling pressure. Consider taking partial profits here and wait for TF1 to turn green again (Buy the Dip) to add back to your position.
How to Use
Choose your scenario: Select "Intraday" 1min-chart for day trading or "Swing" 1h-chart for swingtrading
Enable alerts: Turn on the strategy alerts you want to receive in the settings
Wait for signals: Let the indicator notify you when conditions align
Confirm with price action: Always use additional confirmation before entering trades
Best Practices
✅ Use TF3 as your trend filter - only take longs when TF3 turns green and hold them :)
✅ Use TF2 for timing - wait for TF2 to align with TF3 for swings.
✅ Use TF2 for early entries (accumulation phase) when TF3 is still red. Watch out!
✅ Use TF1 for entries when TF3 and TF2 are green. Only buy if TF1 is red. Keep it short and sweet.
✅ Combine with support/resistance levels for better entries
✅ Use proper risk management - no indicator is 100% accurate
Disclaimer
This indicator is for educational purposes only. Past performance does not guarantee future results. Always do your own research and use proper risk management. Never risk more than you can afford to lose.
Dynamic SMA Trend System [Multi-Stage Risk Engine]Description:
This script implements a robust Trend Following strategy based on a multiple Simple Moving Average (SMA) crossover logic (25, 50, 100, 200). What sets this strategy apart is its advanced "4-Stage Risk Engine" and a smart "High-Water Mark" Re-Entry system, designed to protect profits during parabolic moves while filtering out chop during sideways markets.
How it works:
The strategy operates on three core pillars: Trend Identification, Dynamic Risk Management, and Momentum Re-Entry.
1. Entry Logic (Trend Identification) The script looks for crossovers at different trend stages to capture early reversals as well as established trends:
Short-Term: SMA 25 crosses over SMA 50.
Mid-Term: SMA 50 crosses over SMA 100.
Macro-Trend: SMA 100 crosses over SMA 200.
2. The 4-Stage Risk Engine (Dynamic Stop Loss) Instead of a static Stop Loss, this strategy uses a progressive system that adapts as the price increases:
Stage 1 (Protection): Starts with a fixed Stop Loss (default -10%) to give the trade room to breathe.
Stage 2 (Break-Even): Once the price rises by 12%, the Stop is moved to trailing mode (10% distance), effectively securing a near break-even state.
Stage 3 (Profit Locking): At 25% profit, the trailing stop tightens to 8% to lock in gains.
Stage 4 (Parabolic Mode): At 40% profit, the trailing stop tightens further to 5% to capture the peak of parabolic moves.
3. Dual Exit Mechanism The strategy exits a position if EITHER of the following happens:
Stop Loss Hit: Price falls below the dynamic red line (Risk Engine).
Dead Cross: The trend structure breaks (e.g., SMA 25 crosses under SMA 50), signaling a momentum loss even if the Stop Loss wasn't hit.
4. "High-Water Mark" Re-Entry To avoid "whipsaws" in choppy markets, the script does not re-enter immediately after a stop-out.
It marks the highest price of the previous trade (Green Dotted Line).
A Re-Entry only occurs if the price breaks above this previous high (showing renewed strength) AND the long-term trend is bullish (Price > SMA 200).
Visuals:
SMAs: 25 (Yellow), 50 (Orange), 100 (Blue), 200 (White).
Red Line: Visualizes the dynamic Stop Loss level.
Green Dots: Visualizes the target price needed for a valid re-entry.
Settings: All parameters (SMA lengths, Stop Loss percentages, Staging triggers) are fully customizable in the settings menu to fit different assets (Crypto, Stocks, Forex) and timeframes.
Viprasol Elite Flow Pro - Premium Order Flow & Trend System═══════════════════════════════════════════════════════════════
🔥 VIPRASOL ELITE FLOW PRO
Professional Order Flow & Trend Detection System
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📊 WHAT IS THIS INDICATOR?
Viprasol Elite Flow Pro is a comprehensive trading system that combines institutional order flow analysis with adaptive trend detection. Unlike basic indicators, this tool identifies high-probability setups by analyzing where smart money is likely positioning, while filtering signals through multiple confirmation layers.
This indicator is designed for traders who want to:
✓ Identify premium (supply) and discount (demand) zones automatically
✓ Detect trend direction with adaptive cloud technology
✓ Spot high-volume rejection points before major moves
✓ Filter low-quality signals with intelligent confirmation logic
✓ Track market strength in real-time via elite dashboard
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🎯 CORE FEATURES
═══════════════════════════════════════════════════════════════
1️⃣ ELITE TREND ENGINE
• Adaptive Moving Average system (Fast/Adaptive/Smooth modes)
• Dynamic trend cloud that expands/contracts with volatility
• Real-time trend state tracking (Bullish/Bearish/Ranging)
• Trend strength meter (0-10 scale)
• ATR-based volatility adjustments
2️⃣ ORDER FLOW DETECTION
• Automatic Premium Zone (Supply) identification
• Automatic Discount Zone (Demand) identification
• Smart zone extension - zones remain valid until broken
• Zone rejection detection with price action confirmation
• Customizable zone strength (5-30 bars lookback)
3️⃣ VOLUME INTELLIGENCE
• Volume spike detection (configurable threshold)
• Climax bar identification (exhaustion signals)
• Volume filter for signal validation
• Institutional activity detection
4️⃣ SMART SIGNAL SYSTEM
• 3 Signal Modes: Aggressive, Balanced, Conservative
• Multi-layer confirmation logic
• Automatic profit targets (2:1 risk-reward)
• Stop loss suggestions based on ATR
• Prevents overtrading with bars-since-signal filter
5️⃣ ELITE DASHBOARD (HUD)
• Real-time trend direction and strength
• Volume status monitoring
• Active zones counter
• Market volatility gauge
• Current signal status
• 4 positioning options, compact mode available
6️⃣ PREMIUM STYLING
• 4 Professional color themes (Cyber/Gold/Ocean/Fire)
• Adjustable transparency and label sizes
• Clean, institutional-grade visuals
• Optimized for all chart types
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📖 HOW TO USE THIS INDICATOR
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STEP 1: TREND IDENTIFICATION
→ Green Cloud = Bullish trend - look for LONG opportunities
→ Red Cloud = Bearish trend - look for SHORT opportunities
→ Purple Cloud = Ranging - wait for breakout or fade extremes
STEP 2: ZONE ANALYSIS
→ PREMIUM (Red) zones = Potential resistance/supply areas
→ DISCOUNT (Green) zones = Potential support/demand areas
→ Price rejecting from zones = high-probability setups
STEP 3: SIGNAL CONFIRMATION
→ Wait for "LONG" or "SHORT" labels to appear
→ Check dashboard for trend strength (Moderate/Strong preferred)
→ Confirm volume status is "HIGH" or "CLIMAX"
→ Entry: Enter when label appears
→ Stop Loss: Use dotted line (1 ATR away)
→ Take Profit: Use dashed line (2 ATR away)
STEP 4: RISK MANAGEMENT
→ Never risk more than 1-2% per trade
→ Use the provided stop loss levels
→ Trail stops as price moves in your favor
→ Avoid trading during low volatility periods
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⚙️ RECOMMENDED SETTINGS
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FOR SCALPING (1M - 5M):
- Trend Type: Fast
- Sensitivity: 15
- Signal Mode: Aggressive
- Zone Strength: 8
FOR DAY TRADING (15M - 1H):
- Trend Type: Adaptive
- Sensitivity: 21 (default)
- Signal Mode: Balanced
- Zone Strength: 12 (default)
FOR SWING TRADING (4H - Daily):
- Trend Type: Smooth
- Sensitivity: 34
- Signal Mode: Conservative
- Zone Strength: 20
BEST MARKETS:
✓ Crypto (BTC, ETH, major altcoins)
✓ Forex (Major pairs: EUR/USD, GBP/USD)
✓ Indices (S&P 500, NASDAQ, DAX)
✓ High-liquidity stocks
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🎓 UNDERSTANDING THE METHODOLOGY
═══════════════════════════════════════════════════════════════
This indicator is built on three core concepts:
1. ORDER FLOW THEORY
Markets move between premium (expensive) and discount (cheap) zones. Smart money accumulates in discount zones and distributes in premium zones. This indicator identifies these zones automatically.
2. ADAPTIVE TREND FOLLOWING
Unlike fixed-period moving averages, the Elite Trend Engine adjusts to current market volatility, providing more accurate trend signals in both trending and ranging conditions.
3. CONFLUENCE-BASED ENTRIES
Signals only trigger when multiple conditions align:
- Price in correct zone (premium for shorts, discount for longs)
- Trend confirmation (cloud color matches direction)
- Volume validation (spike or climax present)
- Price action strength (strong rejection candles)
This multi-layer approach dramatically reduces false signals.
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🔔 ALERT SETUP
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This indicator includes 5 alert types:
1. Long Signal → Triggers when buy conditions met
2. Short Signal → Triggers when sell conditions met
3. Volume Climax → Warns of pot
Minervini VCP Pattern -Indian ContextThis script implements Mark Minervini's Trend Template and VCP (Volatility Contraction Pattern) pattern, specifically adapted for Indian stock markets (NSE). It helps identify stocks that are in strong uptrends and ready to break out.
Core Concepts Explained
1. What is the Minervini Trend Template?
Mark Minervini's method identifies stocks in Stage 2 uptrends - the sweet spot where institutional money is accumulating and stocks show the strongest momentum. Think of it as finding stocks that are "leaders" rather than "laggards."
2. What is VCP (Volatility Contraction Pattern)?
A VCP occurs when:
Stock price consolidates (moves sideways) after an uptrend
Price swings get tighter and tighter (like a coiled spring)
Volume dries up (fewer people trading)
Then it breaks out with force.
You can customize the strategy settings without editing code.
Key Settings:
Minimum Price (₹50): Filters out penny stocks that are too volatile
Min Distance from 52W Low (30%): Stock should be at least 30% above its yearly low
Max Distance from 52W High (25%): Stock should be within 25% of its yearly high (showing strength)
Moving Average Periods: 10, 50, 150, 200 days (industry standard)
Minimum Volume (100,000 shares): Ensures the stock is liquid enough to trade
Indian Market Adaptation: The default values (₹50 minimum, volume thresholds) are adjusted for NSE stocks, which behave differently than US markets.
The script pulls weekly chart data even when you're viewing daily charts.
Why it matters: Weekly trends are more reliable than daily noise. Professional traders use weekly charts to confirm the bigger picture.
What are Moving Averages (MAs)?
Simple averages of closing prices over X days
They smooth out price action to show trends
Think of them as the "average cost" of buyers over different time periods
The 4 Key MAs:
10 MA (Fast): Very short-term trend
50 MA: Short to medium-term trend
150 MA: Medium to long-term trend
200 MA: Long-term trend (the "grandfather" of all MAs)
Why Weekly MAs?
The script also calculates 10 and 50 MAs on weekly data for additional confirmation of the bigger trend.
The script Finds the highest and lowest prices over the past 52 weeks (1 year).
Why it matters:
Stocks near 52-week highs are showing strength (institutions buying)
Stocks far from 52-week lows have "room to run" upward
This is a psychological level that influences trader behaviour.
What is Volume here ?
The number of shares traded each day
High volume = many traders interested (conviction)
Low volume = lack of interest (weakness or consolidation)
Volume in VCP:
During consolidation (sideways movement), volume should dry up - this shows sellers are exhausted and buyers are holding. When volume spikes on a breakout, it confirms the move.
NSE Context: Indian stocks often have different volume patterns than US stocks, so the 50-day average is used as a baseline.
Relative Strength vs Nifty:
Example:
If your stock is up 20% and Nifty is up 10%, your stock has strong RS
If your stock is up 5% and Nifty is up 15%, your stock has weak RS (avoid it!)
Why it matters: The best performing stocks almost always have strong relative strength before major moves.
The 13 Minervini Conditions:-
Condition 1: Price > 50/150/200 MA
Meaning: Current price must be above ALL three major moving averages.
Why: This confirms the stock is in a clear uptrend. If price is below these MAs, the stock is weak or in a downtrend.
Condition 2: MA 50 > 150 > 200
Meaning: The moving averages themselves must be in proper order.
Analogy: Think of this like layers in a cake - short-term on top, long-term at bottom. If they're tangled, the trend is unclear.
Condition 3: 200 MA Rising (1 Month)
Meaning: The 200 MA today must be higher than it was 20 days ago.
Why: This confirms the long-term trend is UP, not flat or down. The means "20 bars ago."
Condition 4: 50 MA Rising
Meaning: The 50 MA today must be higher than 5 days ago.
Why: Confirms short-term momentum is accelerating upward.
Condition 5: Within 25% of 52-Week High
Meaning: Current price should be within 25% of its 1-year high.
Example:
52-week high = ₹1000
Current price must be above ₹750 (within 25%)
Why: Strong stocks stay near their highs. Weak stocks fall far from highs.
Condition 6: 30%+ Above 52-Week Low (OPTIONAL)
Meaning: Stock should be at least 30% above its yearly low.
Note: The script marks this as "SECONDARY - Optional" because the other conditions are more important. However, it's still a good confirmation.
Condition 7: Price > 10 MA
Meaning: Very short-term strength - price above the 10-day moving average.
Why: Ensures the stock hasn't just rolled over in the immediate term.
Condition 8: Price >= ₹50
Meaning: Filters out stocks below ₹50.
Why: In Indian markets, stocks below ₹50 tend to be penny stocks with poor liquidity and higher manipulation risk.
Condition 9: Weekly Uptrend
Meaning: On the weekly chart, price must be above both weekly MAs, and they must be properly aligned.
Why: Confirms the bigger picture trend, not just daily fluctuations.
Condition 10: 150 MA Rising
Meaning: The 150 MA is trending upward over the past 10 days.
Why: Another confirmation of medium-term trend health.
Condition 11: Sufficient Volume
Meaning: Average volume must exceed 100,000 shares (or your custom setting).
Why: Ensures you can actually buy/sell the stock without moving the price too much (liquidity).
Condition 12: RS vs Nifty Strong
Meaning: The stock's relative strength vs Nifty must be improving.
Why: You want stocks that are outperforming the market, not underperforming.
Condition 13: Nifty in Uptrend
Meaning: The Nifty 50 index itself must be above its 50 MA.
Why: "A rising tide lifts all boats." It's easier to make money in individual stocks when the overall market is bullish.
VCP Requirements:
Volatility Contracting: Price swings getting tighter (coiling spring)
Volume Drying Up: Fewer shares trading + trending lower
The Setup: When volatility contracts and volume dries up WHILE all 13 trend conditions are met, you have a VCP setup ready to explode.
What You See on Chart:
Colored Lines: 10 MA (green), 50 MA (blue), 150 MA (orange), 200 MA (red)
Blue Background: Trend template conditions met (watch zone)
Green Background: Full VCP setup detected (buy zone)
↟ Symbol Below Price: New VCP buy signal just triggered
Information Table:
What it does: Creates a checklist table on your chart showing the status of all conditions.
Table Structure:
Column 1: Condition name
Column 2: Status (✓ green = met, ✗ red = not met)
Final Row: Shows "BUY" (green) or "WAIT" (red) based on full VCP setup status.
Dos:
Example:
Account size: ₹5,00,000
Risk per trade: 1% = ₹5,000
Entry: ₹1000
Stop loss: ₹920 (8% below)
Distance to stop: ₹80
Shares to buy: ₹5,000 / ₹80 = 62 shares
Exit Strategy:
Sell 1/3 at +20% profit
Sell another 1/3 at +40% profit
Let the final 1/3 run with a trailing stop
Always exit if price closes below 10 MA on heavy volume
What This Script Does NOT Do:
Guarantee profits - No strategy works 100% of the time
Account for news events - Earnings, regulatory changes, etc.
Consider fundamentals - Company financials, debt, management quality
Adapt to market crashes - Works best in bull markets
Best Market Conditions:
✅ Nifty in uptrend (above 50 MA)
✅ Market breadth positive (more stocks advancing)
✅ Sector rotation happening
❌ Avoid in bear markets or high volatility periods
References:
Trade Like a Stock Market Wizard by Mark Minervini
Think & Trade Like a Champion by Mark Minervini
Chart attached: AU Small Finance Bank as on EoD dated 28/11/25
This script is a powerful tool for educational purpose only, remember: It's a tool, not a crystal ball. Use it to find high-probability setups, then apply proper risk management and patience. Good luck!
Hyper Squeeze Sniper (Dual Side: Long + Short)Hyper Squeeze Sniper (Dual Side Strategy)
This script is a comprehensive Volatility Breakout System designed to identify and trade explosive price moves following periods of consolidation. It combines the classical "Squeeze" theory with Linear Regression Momentum, Volume Analysis, and an ATR-based Trailing Stop to filter false signals and manage risk effectively.
The script operates on a logic of "Compression -> Explosion -> Trend Following" suitable for both Long and Short positions.
🛠 Detailed Methodology (How it works)
1. The Squeeze Detection (Consolidation) The core concept relies on the relationship between Bollinger Bands (BB) and Keltner Channels (KC).
Condition: When the Bollinger Bands (Standard Deviation) contract and fall inside the Keltner Channels (ATR based), it indicates a period of extremely low volatility (The Squeeze).
Visual: The background turns Gray to indicate "Do Not Trade / Wait Mode".
2. Momentum Confirmation (Linear Regression) Instead of using standard lagging indicators, this script utilizes Linear Regression of the price deviation to determine the direction of the breakout.
If the Linear Regression Slope > 0, the bias is Bullish.
If the Linear Regression Slope < 0, the bias is Bearish.
3. Volume Validation To avoid fake breakouts, a Volume Spike filter is applied. A signal is only valid if the current volume exceeds its moving average by a defined multiplier (Default x1.2).
4. Risk Management: ATR Trailing Stop Once a trade is entered, the script calculates a dynamic Trailing Stop based on the Average True Range (ATR).
- Long: The stop line trails below the price and never moves down.
- Short: The stop line trails above the price and never moves up.
- Exit: The position is closed immediately when the price breaches this volatility-based safety line.
How to Use
1. Wait: Look for the Gray Background. This is the accumulation phase.
2. Entry:
LONG: Wait for a Green Triangle ▲ (Price breaks Upper BB + Vol Spike + Bullish Momentum).
SHORT: Wait for a Red Triangle ▼ (Price breaks Lower BB + Vol Spike + Bearish Momentum).
3. Exit: Close the position when the "X" mark appears or when candles cross the trailing safety line.
Settings
- BB Length/Mult: Adjust the sensitivity of the squeeze detection.
- Vol Spike Factor: Increase this to filter out low-volume breakouts.
- ATR Period/Mult: Adjust the trailing stop distance (Higher = Wider stop for swing trading).
able MACD Overview
Purpose: The indicator combines the traditional MACD (Moving Average Convergence Divergence) with a short-term “forecast” (projection) of MACD/histogram values to give early warning of momentum changes.
Typical outputs:
MACD line (fastEMA − slowEMA)
Signal line (EMA of MACD)
Histogram (MACD − signal)
Forecasted MACD or histogram projected N bars ahead
Optional buy/sell markers and alert conditions
Add the indicator to TradingView (Installation)
Open TradingView and the chart you want to apply the indicator to.
Click “Pine Editor” at the bottom of the chart.
Copy the contents of able_macd_forecast.pine into the Pine Editor window.
Click “Add to chart” (or Save then Add to chart). If it’s a study, it will appear on the chart below price.
If you plan to re-use the script, click Save and give it a meaningful name.
Inputs / Parameters (typical) Note: exact input names may differ in your script. Replace the names below with the script’s input labels when you inspect it.
Source: price source for calculations (close, hl2, etc.).
Fast Length: length for the fast EMA (commonly 12).
Slow Length: length for the slow EMA (commonly 26).
Signal Length: length for the MACD signal EMA (commonly 9).
Forecast Length / Horizon: how many bars ahead the script projects the MACD/histogram (e.g., 1–5).
Forecast Method / Smoothing: choice of projection method (linear regression, EMA extrapolation, simple slope * N, etc.) if available.
Histogram Thresholds: numeric thresholds to emphasize significant momentum (optional).
Show Forecast: toggle on/off the forecast plot.
Alerts On/Off toggles: enable or disable alert conditions baked into the indicator.
Visual / Style settings: colors, plot thickness, histogram style (columns/areas), show labels, show buy/sell arrows.
How the indicator is typically calculated (summary)
MACD line = EMA(source, fast) − EMA(source, slow)
Signal line = EMA(MACD line, signal length)
Histogram = MACD − Signal
Forecast = method-specific short-term projection of MACD or histogram (for example: extend the last slope forward, apply linear regression to MACD values and extrapolate N bars, or apply an additional smoothing and extend that value) Note: For exact math, I need to inspect the script; this is the typical approach.
How to read the indicator (signals & interpretation)
Bullish signal:
MACD line crossing above the signal line (MACD cross up).
Histogram turns positive (cross above zero).
Forecast shows MACD/histogram moving higher in the next N bars (if forecast is positive or trending up).
Bearish signal:
MACD line crossing below the signal line (MACD cross down).
Histogram turns negative (cross below zero).
Forecast shows MACD/histogram moving lower ahead.
Confirmations:
Use price action (higher highs/lows for bullish, lower highs/lows for bearish).
Volume or other momentum/confluence indicators (RSI, ADX).
Divergences:
Bullish divergence: price makes lower low while MACD histogram makes higher low.
Bearish divergence: price makes higher high while MACD histogram makes lower high.
Forecast behavior:
If the forecast leads the MACD cross (forecast crosses before the current MACD does), it’s an early warning.
Use caution: forecasts are prone to false signals; always confirm.
Common trading setups using this indicator
Conservative:
Wait for MACD to cross signal + histogram above zero + forecast already trending same direction.
Use stop below recent swing low (for long) or above recent swing high (for short).
Aggressive (early entry):
Enter when forecast turns positive while MACD still below signal (anticipating cross).
Use tighter stops and smaller position sizes.
Exit rules:
Opposite MACD cross, histogram flipping sign, or a target based on risk-reward.
Use trailing stop based on ATR or structure.
Example settings for different timeframes (starting points)
Scalping / 5–15 min:
Fast 8, Slow 21, Signal 5, Forecast 1–2
Intraday / 1H:
Fast 12, Slow 26, Signal 9, Forecast 2–3
Swing / 4H–Daily:
Fast 12, Slow 26, Signal 9, Forecast 3–5 Adjust based on the asset volatility and backtests.
Adding alerts (TradingView)
Click the “Alerts” button (clock icon) or press Alt + A.
In the Condition dropdown, select the indicator name (able_macd_forecast) and choose a plotted series or built-in alert condition (if the script uses alertcondition).
Common alert types:
MACD crosses Signal (Crossing)
Histogram crosses 0 (Crossing)
Forecast crosses 0 or Forecast trend change (if provided)
Message templates:
“{{ticker}}: MACD crossed above signal on {{interval}}”
“{{ticker}} Forecast positive: MACD forecast shows upward momentum”
Customize the message for your trade automation or notifications.
Configure frequency (Only once, Once per bar, or Once per bar close) — for signals like crossovers, “Once per bar close” is usually safer to avoid repainting issues. Note: If the script includes alertcondition() calls with explicit IDs/messages, use those directly — they are the most reliable for automation.
Backtesting / Strategy conversion
If this script is a study (indicator), you can:
Convert it to a strategy by adding strategy.* order calls (strategy.entry, strategy.close) using the entry/exit logic you prefer, or
Use TradingView’s “Bar Replay” to manually test signals across different markets/timeframes.
If you want, I can help convert or write a strategy wrapper that uses the indicator’s signals to place backtest trades (I’ll need the code).
Practical tips & best practices
Use higher timeframe confirmation for lower-timeframe entries (e.g., check daily MACD momentum before trading 15m signals).
Beware of choppy markets; MACD / forecast may produce whipsaws. Combine with trend filters (moving average direction, ADX).
If you rely on forecasted values, prefer alerts “on bar close” when possible to reduce false alerts from intra-bar noise.
Tune parameters for the specific asset (FX, crypto, stocks have different behavior).
Record each signal and outcome for a sample period (20–100 trades) to evaluate performance.
Troubleshooting
Indicator won’t add: verify Pine version in script header (//@version=4 or //@version=5). TradingView may reject scripts with unsupported version syntax.
Plots missing: check script inputs (Some scripts hide plots if toggles are off).
Alerts firing too often: change alert frequency to “Once per bar close” or adjust threshold values.
Forecast seems to repaint: some forecast methods can repaint (use “bar_index” or store values only on closed bars, or use non-repainting forecast methods). Ask me to inspect the script for repainting logic.
What I can do next (recommended)
If you paste the content of able_macd_forecast.pine here, I will:
Produce a precise, line-by-line usage guide mapping to the exact input names and default values.
Show the exact plotted series names and how to reference them for alerts.
Point out any repainting risks and suggest fixes.
Provide example alert messages that match the script’s alertcondition IDs (if any).
Optionally convert it into a strategy for backtesting, or add non-repainting forecast logic if needed.
Dynamic Support and Resistance with Trend LinesDynamic Support and Resistance with Trend Lines (DSRTL)
1. Introduction & Methodology
The DSRTL indicator is designed to provide a multidimensional analysis of market structure. Unlike traditional tools that rely solely on price pivots, this script combines Static Volume-based Zones with Dynamic Trend Lines to evaluate the price's position relative to critical market components.
The S/R Identification Technique
Instead of standard pivot points, DSRTL utilizes Volume Analysis to highlight areas of significant trader participation:
- Strategy A:
Matrix Climax: Identifies candles within the lookback period that are near price extremes (Highs/Lows) and coincide with significant buying or selling volume.
- Strategy B:
Volume Extremes: Detects candles with the absolute highest buy/sell volumes within the selected lookback window, creating extreme volume-based S/R zones.
- Result:
This creates Support/Resistance (S/R) zones that are validated by actual market activity, not just price geometry.
Dynamic Trend Lines
To complement the static zones, the indicator employs two adaptive channel methods:
- Pivot Span: Connects recent significant pivots for a fast, reactive trend corridor.
- 5-Point Channel: Segments the lookback period into 5 parts to perform a linear regression analysis, creating a stable and statistically significant channel.
2. Volume Calculation Methodology
Accurate S/R detection requires distinguishing Buy Volume from Sell Volume. DSRTL offers two calculation modes:
- Geometry (Source File): Estimates buy/sell volume based on the Close price's position relative to the High/Low of the candle.
Note: This is an approximation that works on all plan types as it does not require intrabar data.
- Intrabar (Precise): Analyzes historical lower-timeframe data (e.g., 15S) to calculate intrabar-based volume deltas with higher precision compared to the geometric method.
Note: This offers superior accuracy. It requires access to historical intrabar data (depending on your plan limits). For the best analytical results, use this mode if available.
3. The Smart Matrix Engine (3D Analysis)
The core of DSRTL is its dashboard, powered by the "Smart Matrix Engine." This engine evaluates the current price in a multi-layer market structure context (Static Volume Zones + Dynamic Channels + Volume Metrics).:
A. S-State (Static): Where is the price relative to the Volume S/R zones?
B. D-State (Dynamic): Where is the price relative to the Trend Channels?
How to read the Matrix Map:
The dashboard displays a 5x5 grid representing 25 possible market scenarios.
- Rows (S1-S5): Represent the Static State (S1=Breakout, S3=Mid-Range, S5=Breakdown).
- Columns (D1-D5): Represent the Dynamic State (D1=Overextended Up, D3=Neutral, D5=Overextended Down).
- Active Cell: Marked with a dot, indicating the specific intersection of price action and market structure.
4. Matrix Interpretations (The 25 Scenarios)
Below is the detailed logic for every possible state displayed on the dashboard, explaining the Title, Bias, and actionable Signal.
Section I: S1 - Static Breakout (Price > Static Resistance)
The price has cleared the static volume resistance zone.
- S1 / D1: HYPER EXTENSION
Bias: Extreme Bullish
Signal: Caution: Exhaustion Risk. Trail stops tight.
- S1 / D2: RESISTANCE CLASH
Bias: Bullish
Signal: Breakout confirmed but facing immediate dynamic resistance.
- S1 / D3: CHANNEL BREAKOUT
Bias: Strong Bullish
Signal: Ideal Trend Continuation. Look to buy dips.
- S1 / D4: SMART PULLBACK
Bias: Bullish (Pullback)
Signal: A pullback occurring after a breakout. Strong buy opportunity.
- S1 / D5: CONFLICT (DIV)
Bias: Conflict/Reversal
Signal: Major Divergence. Static breakout is failing against dynamic structure. High Risk.
Section II: S2 - Inside Static Resistance
The price is currently testing the overhead resistance zone.
- S2 / D1: WEAK SPIKE
Bias: Neutral/Bullish
Signal: Testing resistance, but short-term overextended.
- S2 / D2: IRON FORTRESS (R)
Bias: Rejection Risk
Signal: Double Resistance (Static + Dynamic). High probability of rejection.
- S2 / D3: TESTING RES
Bias: Neutral
Signal: Consolidating at resistance. Wait for a clear break or rejection.
- S2 / D4: COMPRESSION (UP)
Bias: Conflict (Squeeze)
Signal: Squeezed between Static Resistance and Dynamic Support. Volatility imminent.
- S2 / D5: RES vs DOWN-TREND
Bias: Bearish
Signal: Strong downtrend meeting static resistance. Potential Short entry.
Section III: S3 - Mid-Range
The price is floating between significant Static Support and Resistance.
- S3 / D1: OVERBOUGHT RANGE
Bias: Rejection Risk (OB)
Signal: Overextended within the range. Potential fade (short).
- S3 / D2: RANGE HIGH LIMIT
Bias: Neutral/Bearish
Signal: At the top of the dynamic channel. Look for rejection signs.
- S3 / D3: NEUTRAL / CHOPPY
Bias: Neutral
Signal: Dead Center. Low probability environment. Avoid trading.
- S3 / D4: RANGE DIP BUY
Bias: Neutral/Bullish
Signal: At the bottom of the dynamic channel. Look for bounce signs.
- S3 / D5: WEAK RANGE (OS)
Bias: Bounce Risk (OS)
Signal: Oversold within the range. Potential fade (long).
Section IV: S4 - Inside Static Support
The price is currently testing the floor support zone.
- S4 / D1: SUP vs UP-TREND
Bias: Bullish
Signal: Strong uptrend meeting static support. Potential Long entry.
- S4 / D2: COMPRESSION (DN)
Bias: Conflict (Squeeze)
Signal: Squeezed between Static Support and Dynamic Resistance. Volatility imminent.
- S4 / D3: TESTING SUPPORT
Bias: Neutral
Signal: Consolidating at support. Wait for a bounce or breakdown.
- S4 / D4: IRON FLOOR (S)
Bias: Bounce Risk
Signal: Double Support (Static + Dynamic). High probability of a bounce.
- S4 / D5: WEAK DIP
Bias: Neutral/Bearish
Signal: Testing support, but short-term oversold.
Section V: S5 - Static Breakdown (Price < Static Support)
The price has dropped below the static volume support zone.
- S5 / D1: CONFLICT (DIV)
Bias: Conflict/Reversal
Signal: Major Divergence. Static breakdown is failing. High Risk.
- S5 / D2: BEAR PULLBACK
Bias: Bearish (Pullback)
Signal: A pullback occurring after a breakdown. Strong selling opportunity.
- S5 / D3: CHANNEL BREAKDOWN
Bias: Strong Bearish
Signal: Ideal Trend Continuation (Down). Sell rallies.
- S5 / D4: SUPPORT CLASH
Bias: Bearish
Signal: Breakdown confirmed but facing immediate dynamic support.
- S5 / D5: HYPER DROP (VOID)
Bias: Extreme Bearish
Signal: Caution: Climax risk. Trail stops for shorts.
DISCLAIMER & EDUCATIONAL PURPOSE
This indicator is strictly an educational tool designed to visualize complex market structure concepts. Its primary purpose is to help traders "bridge the gap" between academic theory and real-time market behavior by providing a visual representation of support, resistance, and volume dynamics.
Please Note:
1. Not a Trading Strategy: This script is an analytical assistant, not a standalone "Black Box" trading system. It does not generate buy or sell signals that should be followed blindly.
2. No Financial Advice: The data provided by this tool is for informational purposes only. It is not a recommendation to buy or sell any asset.
3. Risk Warning: Trading involves significant risk. Always use your own judgment, perform your own technical analysis, and use proper risk management. Do not use this tool as the sole basis for your trading decisions.
4. Data Precision & Platform Limits: The "Intrabar (Precise)" calculation mode relies on high-resolution historical data to provide exact results. Access to this specific data depth depends entirely on your platform's subscription capabilities. If your plan does not support this level of historical intrabar data, the Precise mode may have limited coverage. In that case, you should switch to "Geometry" mode for a fully populated view.
