liq depth fvg/bprA script that draws liquidity depth boxes from the 9.30-10.00 am range which can prove decent areas to look for a reversal. It also draws in fvg and bpr levels which can help add confluence to a trade ideas. The 9.30 to 10.00 am range is highlighted by blue lines to assist in opening range trades as described by Casper SMC.
指標和策略
EVaR Indicator and Position SizingThe Problem:
Financial markets consistently show "fat-tailed" distributions where extreme events occur with higher frequency than predicted by normal distributions (Gaussian or even log-normal). These fat tails manifest in sudden price crashes, volatility spikes, and black swan events that traditional risk measures like volatility can underestimate. Standard deviation and conventional VaR calculations assume normally distributed returns, leaving traders vulnerable to severe drawdowns during market stress.
Cryptocurrencies and volatile instruments display particularly pronounced fat-tailed behavior, with extreme moves occurring 5-10 times more frequently than normal distribution models would predict. This reality demands a more sophisticated approach to risk measurement and position sizing.
The Solution: Entropic Value at Risk (EVAR)
EVaR addresses these limitations by incorporating principles from statistical mechanics and information theory through Tsallis entropy. This advanced approach captures the non-linear dependencies and power-law distributions characteristic of real financial markets.
Entropy is more adaptive than standard deviations and volatility measures.
I was inspired to create this indicator after reading the paper " The End of Mean-Variance? Tsallis Entropy Revolutionises Portfolio Optimisation in Cryptocurrencies " by by Sana Gaied Chortane and Kamel Naoui.
Key advantages of EVAR over traditional risk measures:
Superior tail risk capture: More accurately quantifies the probability of extreme market moves
Adaptability to market regimes: Self-calibrates to changing volatility environments
Non-parametric flexibility: Makes less assumptions about the underlying return distribution
Forward-looking risk assessment: Better anticipates potential market changes (just look at the charts :)
Mathematically, EVAR is defined as:
EVAR_α(X) = inf_{z>0} {z * log(1/α * M_X(1/z))}
Where the moment-generating function is calculated using q-exponentials rather than conventional exponentials, allowing precise modeling of fat-tailed behavior.
Technical Implementation
This indicator implements EVAR through a q-exponential approach from Tsallis statistics:
Returns Calculation: Price returns are calculated over the lookback period
Moment Generating Function: Approximated using q-exponentials to account for fat tails
EVAR Computation: Derived from the MGF and confidence parameter
Normalization: Scaled to for intuitive visualization
Position Sizing: Inversely modulated based on normalized EVAR
The q-parameter controls tail sensitivity—higher values (1.5-2.0) increase the weighting of extreme events in the calculation, making the model more conservative during potentially turbulent conditions.
Indicator Components
1. EVAR Risk Visualization
Dynamic EVAR Plot: Color-coded from red to green normalized risk measurement (0-1)
Risk Thresholds: Reference lines at 0.3, 0.5, and 0.7 delineating risk zones
2. Position Sizing Matrix
Risk Assessment: Current risk level and raw EVAR value
Position Recommendations: Percentage allocation, dollar value, and quantity
Stop Parameters: Mathematically derived stop price with percentage distance
Drawdown Projection: Maximum theoretical loss if stop is triggered
Interpretation and Application
The normalized EVAR reading provides a probabilistic risk assessment:
< 0.3: Low risk environment with minimal tail concerns
0.3-0.5: Moderate risk with standard tail behavior
0.5-0.7: Elevated risk with increased probability of significant moves
> 0.7: High risk environment with substantial tail risk present
Position sizing is automatically calculated using an inverse relationship to EVAR, contracting during high-risk periods and expanding during low-risk conditions. This is a counter-cyclical approach that ensures consistent risk exposure across varying market regimes, especially when the market is hyped or overheated.
Parameter Optimization
For optimal risk assessment across market conditions:
Lookback Period: Determines the historical window for risk calculation
Q Parameter: Controls tail sensitivity (higher values increase conservatism)
Confidence Level: Sets the statistical threshold for risk assessment
For cryptocurrencies and highly volatile instruments, a q-parameter between 1.5-2.0 typically provides the most accurate risk assessment because it helps capturing the fat-tailed behavior characteristic of these markets. You can also increase the q-parameter for more conservative approaches.
Practical Applications
Adaptive Risk Management: Quantify and respond to changing tail risk conditions
Volatility-Normalized Positioning: Maintain consistent exposure across market regimes
Black Swan Detection: Early identification of potential extreme market conditions
Portfolio Construction: Apply consistent risk-based sizing across diverse instruments
This indicator is my own approach to entropy-based risk measures as an alterative to volatility and standard deviations and it helps with fat-tailed markets.
Enjoy!
Whale Volume Alerti am oublishtion for my own
so dont use it
it was made thrugh dont now
i have made it
Forex Monday RangeForex Monday Range. Refers to the price range (high to low) established during Monday's trading session, typically measured from midnight Sunday to midnight Monday (New York time).
VDN2 - SuperTrend + ADX + Stochastic StrategySuperTrend + ADX + Stochastic
Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart.
Backtest Highlights (Last 1 Week):
Win Rate: 83.3% (5 out of 6 trades)
Net Profit: +56.35 USD (1 contract size)
Avg Trade Duration: ~58 bars (~9.6 hours)
Max Drawdown: 16.65 USD
Avg Win: 9.24 USD, Avg Loss: 0.82 USD
Largest Single Profit: 23.28 USD
Profit Factor: ~11.27
Core Logic:
Enter Long when:
* SuperTrend is bullish
* ADX > 20
* Stochastic %K > %D and %K < 80
Enter Short when:
* SuperTrend is bearish
* ADX > 20
* Stochastic %K < %D and %K > 20
No fixed TP/SL. Positions closed on signal reversal.
Painel de Velas 1H e 2H + Grade DiáriaIndicator Description "1H and 2H Candlestick Panel + Daily Grid"
Overview
This advanced indicator for TradingView combines a candlestick information panel on multiple timeframes with a daily grid of supports and resistances, providing a complete market overview for intraday and swing trading.
Main Features
1. Automatic Daily Grid
Previous Close Line: Highlighted red line marking the previous day's close.
Support/Resistance Grid:
4 lines above (blue) and 4 lines below (gold) the previous close, spaced according to a configurable distance.
Automatic update at the beginning of each new day.
Customizable distance between lines in the inputs.
2. Multi-Timeframe Candlestick Panel
Information table in the upper right corner with data from:
Included timeframes: Current, 30M, 1H, 2H, 3H, 4H, 6H, 12H and Daily (1D).
Displayed information:
Open and Close
Price difference (value and color according to direction)
Candle type (Positive/Negative)
Time remaining until candlestick close (HH:MM:SS format)
3. Confluence Signals
Buy Alert: When all candlesticks (from current to daily) are positive.
Sell Alert: When all candlesticks (from current to daily) are negative.
Visual signals: Buy/sell arrows on the chart and configurable alerts.
Customizable Settings
Grid Distance (Dots): Adjust the distance between daily support/resistance lines.
How to Use
Daily Grid:
Use the blue lines (above) as potential resistance and the gold ones (below) as support.
The red line (previous close) is a key level for analysis.
Candlestick Panel:
Monitor the direction of candlesticks on different timeframes to identify trends.
Use the remaining time to plan entries before the close of important candlesticks.
Confluence Signals:
Trade in the direction of confluence when all timeframes are aligned (buy or sell).
Benefits
✔ Efficient multi-timeframe analysis
✔ Visual identification of support/resistance zones
✔ Automatic alerts for strong setups
✔ Easy grid customization
Ideal for traders who trade based on price action and timeframe confluence!
Position Trading Strategy - EMA + FVG (Conservative)claude.ai
# 📊 Conservative Position Trading Strategy - EMA + FVG
## 🎯 **Strategy Overview**
This indicator combines **Exponential Moving Averages (EMA)** with **Fair Value Gap (FVG)** analysis to identify high-probability trading opportunities. Designed specifically for **funded account traders** who need consistent, conservative performance with strict risk management.
---
## 🔧 **Key Features**
### ✅ **Smart Entry Scoring System (1-10 Scale)**
- **EMA Alignment**: 3 points maximum
- **Price Position**: 2 points maximum
- **Momentum Confirmation**: 2 points maximum
- **Volume Validation**: 1 point maximum
- **FVG Proximity**: 2 points maximum
### ✅ **Advanced Signal Filtering**
- **Confluence Filter**: Ensures strong trend alignment
- **Volatility Filter**: Avoids choppy market conditions
- **Time Separation**: Prevents overtrading
- **Enhanced Exit Logic**: Color-coded position tracking
### ✅ **Risk Management Features**
- **Pyramiding Control**: Configurable position scaling
- **Conservative Position Sizing**: Based on account risk
- **Smart Exit Conditions**: Protects profits and limits losses
---
## ⚙️ **Settings Configuration**
### 🎯 **Entry Signal Strength**
| Setting | Conservative | Moderate | Aggressive |
|---------|-------------|----------|------------|
| **Minimum Entry Score** | 8-9 | 7-8 | 6-7 |
| **FVG Threshold** | 0.20% | 0.15% | 0.10% |
| **Use Confluence Filter** | ✅ ON | ✅ ON | ❌ OFF |
| **Volatility Filter** | ✅ ON | ✅ ON | ❌ OFF |
**📝 Recommendation**: Start with **Conservative** settings for funded accounts, then adjust based on performance.
### 🏗️ **Pyramiding Configuration**
| Account Type | Pyramid Levels | Risk Per Trade | Max Drawdown Target |
|-------------|----------------|----------------|---------------------|
| **Funded Account** | 1-2 | 0.25-0.5% | <3% |
| **Personal Account** | 2-3 | 0.5-1.0% | <5% |
| **High Risk** | 3-4 | 1.0-2.0% | <10% |
### 🔧 **Recommended Settings by Trading Style**
#### 🛡️ **Ultra Conservative (Funded Accounts)**
```
Minimum Entry Score: 8
Pyramid Levels: 1
Risk Per Trade: 0.25%
FVG Threshold: 0.20%
Confluence Filter: ON
Volatility Filter: ON
Min Candle Separation: 8
```
#### ⚖️ **Balanced Approach**
```
Minimum Entry Score: 7
Pyramid Levels: 2
Risk Per Trade: 0.5%
FVG Threshold: 0.15%
Confluence Filter: ON
Volatility Filter: ON
Min Candle Separation: 5
```
#### 🎯 **Moderate Aggressive**
```
Minimum Entry Score: 6
Pyramid Levels: 3
Risk Per Trade: 1.0%
FVG Threshold: 0.10%
Confluence Filter: OFF
Volatility Filter: OFF
Min Candle Separation: 3
```
---
## 📈 **How to Use**
### 1️⃣ **Setup Process**
1. Add the indicator to your chart
2. Configure settings based on your account type
3. Set up alerts for entry/exit signals
4. Monitor the info table for real-time metrics
### 2️⃣ **Signal Interpretation**
- **Green Labels (L + Score)**: Long entry signals
- **Red Labels (S + Score)**: Short entry signals
- **Green EXIT L**: Long position exits
- **Magenta EXIT S**: Short position exits
### 3️⃣ **Info Table Monitoring**
- **Long/Short Score**: Current entry strength
- **Trend**: Overall market direction
- **Position**: Current position status
- **Pyramids**: Active scaling levels
- **Volatility**: Market condition assessment
---
## 🎨 **Visual Elements**
### 📊 **Chart Display**
- **Blue Line**: EMA 21 (Short-term trend)
- **Orange Line**: EMA 55 (Medium-term trend)
- **Red Line**: EMA 233 (Long-term trend)
- **Background Colors**: Subtle trend indication
- **Entry/Exit Labels**: Clear signal identification
### 📋 **Information Table**
Real-time dashboard showing:
- Current signal strength
- Position status
- Risk metrics
- Market conditions
---
## ⚠️ **Important Notes**
### 🔴 **Risk Disclaimers**
- **Past performance does not guarantee future results**
- **Always use proper risk management**
- **Test thoroughly on demo accounts first**
- **Funded account rules vary by provider**
### 💡 **Best Practices**
- **Backtest extensively** before live trading
- **Start with conservative settings**
- **Monitor maximum drawdown closely**
- **Keep detailed trading records**
- **Follow your funded account rules**
### 📅 **Recommended Timeframes**
- **Primary Analysis**: 4H, 1D
- **Entry Timing**: 1H, 15M
- **Avoid**: <15M timeframes
---
## 🎓 **Strategy Logic**
### 📈 **Entry Conditions**
1. **EMA Alignment**: Trend direction confirmation
2. **Price Position**: Above/below key EMAs
3. **Momentum**: RSI and price change validation
4. **Volume**: Above-average trading activity
5. **FVG Proximity**: Near unfilled gaps
### 📉 **Exit Conditions**
- EMA crossovers (trend change)
- Price breaks key support/resistance
- Momentum reversal signals
- Position management rules
---
## 🏆 **Performance Optimization**
### 📊 **For Better Results**
- **Combine with market structure analysis**
- **Use multiple timeframe confirmation**
- **Respect overall market trends**
- **Avoid trading during major news events**
### 🔧 **Customization Tips**
- **Adjust EMA periods** for different markets
- **Modify FVG threshold** based on volatility
- **Experiment with scoring weights**
- **Fine-tune risk parameters**
---
## 💬 **Community & Support**
### 📝 **Feedback Welcome**
- Share your settings and results
- Report any bugs or issues
- Suggest improvements
- Post your backtesting results
### 🤝 **Collaboration**
This strategy is designed to evolve with community input. Your feedback helps make it better for everyone!
---
## 🎯 **Final Recommendations**
### ✅ **Do:**
- Start conservative and adjust gradually
- Backtest thoroughly across different market conditions
- Keep detailed performance records
- Follow strict risk management rules
### ❌ **Don't:**
- Use maximum aggressive settings immediately
- Ignore drawdown limits
- Trade without proper backtesting
- Violate your funded account rules
---
**📞 Remember**: This indicator is a tool to assist your trading decisions. Always combine it with proper risk management, market analysis, and your own trading plan. Success in trading comes from discipline, patience, and continuous learning.
**🎯 Good luck and trade safely!**
Range Bar Gaps DetectorRange Bar Gaps Detector
Overview
The Range Bar Gaps Detector identifies price gaps across multiple range bar sizes (12, 24, 60, and 120) on any trading instrument, helping traders spot potential support/resistance zones or breakout opportunities. Designed for Pine Script v6, this indicator detects gaps on range bars and exports data for use in companion scripts like Range Bar Gaps Overlap, making it ideal for multi-timeframe gap analysis.
Key Features
Multi-Range Gap Detection: Identifies gaps on 12, 24, 60, and 120-range bars, capturing both bullish (gap up) and bearish (gap down) price movements.
Customizable Sensitivity: Includes a user-defined minimum deviation (default: 10% of 14-period SMA) for 12-range gaps to filter out noise.
7-Day Lookback: Automatically prunes gaps older than 7 days to focus on recent, relevant price levels.
Data Export: Serializes up to 10 gaps per range (tops, bottoms, start bars, highest/lowest prices, and age) for seamless integration with overlap analysis scripts.
Debugging Support: Plots gap counts and aggregation data in the Data Window for easy verification of detected gaps.
How It Works
The indicator aggregates price movements to simulate higher range bars (24, 60, 120) from a base range bar chart. It detects gaps when the price jumps significantly between bars, ensuring gaps meet the minimum deviation threshold for 12-range bars. Gaps are stored in arrays, serialized for external use, and pruned after 7 days to maintain efficiency.
Usage
Add to your range bar chart (e.g., 12-range) to detect gaps across multiple ranges.
Use alongside the Range Bar Gaps Overlap indicator to visualize gaps and their overlaps as boxes on the chart.
Check the Data Window to confirm gap counts and sizes for each range (12, 24, 60, 120).
Adjust the "Minimal Deviation (%) for 12-Range" input to control gap detection sensitivity.
Settings
Minimal Deviation (%) for 12-Range: Set the minimum gap size for 12-range bars (default: 10% of 14-period SMA).
Range Sizes: Fixed at 24, 60, and 120 for higher range bar aggregation.
Notes
Ensure the script is published under your TradingView username (e.g., GreenArrow2005) for use with companion scripts.
Best used on range bar charts to maintain consistent gap detection.
For advanced overlap analysis, pair with the Range Bar Gaps Overlap indicator to highlight zones where gaps from different ranges align.
Ideal For
Traders seeking to identify key price levels for support/resistance or breakout strategies.
Multi-timeframe analysts combining gap data across various range bar sizes.
Developers building custom indicators that leverage gap data for advanced charting.
First Opposite Candle After 3+ (Yellow & Streak Alerts)This overlay tracks consecutive candle direction: when three or more bars run the same way, the very next opposite-color candle is spotlighted in yellow. Two built-in alert events keep you hands-free:
“First Opposite Candle After 3+” – fires the moment that yellow reversal prints.
“3+ Candle Streak” – pings every bar while a bullish-or-bearish run is ≥ 3 candles long.
minchang volume tradingCondition
Point color
Volume ≥ 3× MA(24)
Violet
Volume ≥ 1.5× MA(24)
Red
Volume < 1.5× MA(24) & bullish
White
Volume < 1.5× MA(24) & bearish
Black
RSI For LoopTitle: RSI For Loop
SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a sophisticated tool designed to identify overbought and oversold conditions using a customizable Relative Strength Index (RSI). By averaging RSI over a user-defined lookback period, this indicator provides clear visual signals for bullish and bearish market conditions. The RSI line and price bars are dynamically colored to highlight momentum, making it easier for traders to spot potential trading opportunities.
How It Works
RSI Calculation:
Computes RSI based on a user-selected price source (Close, High, Low, or Open) with a configurable length (default: 5). Optional moving average smoothing refines the RSI signal for smoother analysis.
Lookback Averaging:
Averages the RSI over a user-defined lookback period (default: 5) to generate a stable momentum indicator, reducing noise and enhancing signal reliability.
Threshold-Based Signals:
Long Signal: Triggered when the averaged RSI exceeds the upper threshold (default: 52), indicating overbought conditions.
Short Signal: Triggered when the averaged RSI falls below the lower threshold (default: 48), indicating oversold conditions.
Visual Representation
The indicator provides a clear and customizable visual interface: Green RSI Line and Bars: Indicate overbought conditions when the averaged RSI surpasses the upper threshold, signaling potential long opportunities.
Red RSI Line and Bars: Indicate oversold conditions when the averaged RSI drops below the lower threshold, signaling potential short opportunities.
Neutral Gray RSI Line: Represents RSI values between thresholds for neutral market conditions.
Threshold Lines: Dashed gray lines mark the upper and lower thresholds on the RSI panel for easy reference.
Customization & Parameters
The RSI with Threshold Colors and Bar Coloring indicator offers flexible parameters to suit
various trading styles: Source: Select the input price (default: Close; options: Close, High, Low, Open).
RSI Length: Adjust the RSI calculation period (default: 5).
Smoothing: Enable/disable moving average smoothing (default: enabled) and set the smoothing length (default: 10).
Moving Average Type: Choose from multiple types (SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HMA, LSMA, ALMA; default: ALMA).
ALMA Sigma: Configure the ALMA smoothing parameter (default: 5).
Lookback Period: Set the period for averaging RSI (default: 5).
Thresholds: Customize the upper (default: 52) and lower (default: 48) thresholds for signal generation.
Color Settings: Transparent green and red colors (70% transparency) for bullish and bearish signals, with gray for neutral states.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies: Momentum Trading: Highlights strong overbought or oversold conditions for potential entry or exit points.
Trend Confirmation: Use bar coloring to confirm RSI-based signals with price action on the main chart.
Reversal Detection: Identify potential reversals when RSI crosses the customizable thresholds.
Scalping and Swing Trading: Adjust parameters (e.g., RSI length, lookback) to suit short-term or longer-term strategies.
Final Note
SurgeQuant’s RSI with Threshold Colors and Bar Coloring indicator is a powerful tool for traders seeking to leverage RSI for momentum and reversal opportunities. Its combination of lookback-averaged RSI, dynamic threshold signals, and synchronized RSI and bar coloring offers a robust framework for informed trading decisions. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
Price x Vol StochasticAn enhanced Fast Stochastic (FSTO) indicator that integrates volume as a conviction amplifier.
This script modifies the price stochastic to range from −1 to +1, allowing it to express directional momentum. Volume stochastic remains in the range of 0 to +1, serving as a direction-neutral amplifier.
The result is a bi-directional composite stochastic that:
>> Emphasizes congruent signals (e.g., strong price direction with strong volume).
>> Minimizes misleading or incongruent signals from high volume paired with neutral or conflicting price movement.
Ideal for identifying high-conviction breakouts and momentum divergences with volume support.
Gabriel's Relative Strength IndexGabriel’s RSI—The Reinvention of Relative Strength
Not your average RSI.
This is a fully reengineered Relative Strength Index that merges the power of advanced signal processing, adaptive smoothing, volume dynamics, and intelligent divergence detection into a single, modular toolkit designed for precision trading across all markets.
Whether you’re scalping crypto, swing trading equities, or dissecting futures contracts—Gabriel’s RSI adapts to your strategy with unrivaled control and clarity.
1. RSI Settings
RSI Length (Jurik): Set to 51 by default to mimic a 21-period standard RSI when Jurik smoothing is applied. Adjust lower (e.g., 22) to mimic a 9-period RSI.
RSI Source: The default is hlc3 for smoother RSI inputs. Can be changed to any price-based series (close, open, etc.) for customization.
2. RSI Smoothing Options
MA Type: Smoothing applies to both RSI and its MA overlay simultaneously. I used to use the 56 EMA RSI, and it works well too.
JMA: Best for adaptive recursive smoothing. A power of 2 and a phase of 50 are used.
T3: Smooth and lag-reduced, suitable for trend detection. The alpha is 0.7.
SMA + Bollinger Bands: Adds deviation-based envelopes for volatility spotting.
MA Length: Affects how smooth or reactive the RSI signal is.
BB StdDev: Only relevant if BBs are used. Controls bandwidth for overbought/oversold zones.
3. MACD Settings
Fast/Slow Length: Defaults (21/81) optimized for smoother MACD with SMA or T3. For Algo trading, EMA/JMA is best.
Signal Length: Shorter (e.g., 2) gives more reactive crossover signals, it can be increased.
Source: Default is close. Close works best for the settings I input.
MA Types: JMA and EMA reduce noise and increase signal generation. Select SMA for simplicity or T3 for trend-following.
Histogram: Bar colors signal strength and trend of MACD directly on your chart.
4. Directional Movement Index (DMI)
ADX Smoothing: High values (e.g., 100) offer strong trend confirmation with Hann Window smoothing.
DI Length: Affects DI+/- sensitivity. 100 ADX - 12 DI or 15 ADX - 35 DI are suggested, the latter for quicker boot time, as 100 bars is quite long.
Smoothing Type: Choose Hann Window for refined smoothing; RMA (SMMA) for simplicity.
Volatility Type: ATR includes gaps; ADR is useful for gapless strategies.
Plotted as area fills, 0 to 100 scaled.
5. Volume Z-Score
%R Length: Normalizes volume to percentile range (73 swing, 112 exhaustion).
Z-Score Lengths: Compares short-term and long-term volume trends with Z-scores of volume.
Fast Z-Score < Slow Z-Score = Gives a Volume Squeeze.
Fast MA > Slow MA = Bullish Volume Divergence; volume has been fired. Not via Z-score, but instead via SMA, ALMA, and RMA of volume.
WPR Volume: Weighted %R used to highlight exhaustion/pivot points.
Plot volume bars after a volume squeeze has been fired; if bars aren't plotted, then it's under squeeze. Backtest on ES1! Prove it's good for catching bottoms below 15 minutes as well.
6. Divergence Engine
Pivot Settings: Pivot Period (12), Divergence minval Lookback (5), and max Lookback Bars (100) control sensitivity. Works well on any asset class; these are the optimal settings for the RSI.
Source Options: RSI, MACD, ADX, DI difference, or Volume %R.
Divergence Type:
Regular: Classic reversal signals.
Hidden: Continuation signals.
Heikin Ashi Mode: Enables use of HA candles on normal charts for smoother pivots. May distort values if your chart is H.A. so leave it unchecked then.
7. Squeeze Momentum (SQZMOM)
Squeeze Types:
Wide (Black): Regular compression
Normal (Red), Regular Squeeze
Narrow (Yellow), Golden Squeeze
Very Narrow (Purple) Extreme compression
Fired (Green): Breakout detected
Plotted as circles on the bottom of my indicator.
Momentum Bar Colors:
Cyan: Rising momentum
Blue: Pullback within uptrend
Red: Falling momentum
Yellow: Correction within downtrend
Reversal Lines: Dashed lines indicate momentum crossing its Jurik MA (DM-Style Pivots).
Plotted as squares on the top of my indicator.
8. Rate of Change (RoC)
RoC of Momentum: EMA-smoothed RoC on momentum for leading signals. Double smoothed, once and then another time for smoother signals.
Signal Line: JMA used to filter noise and generate reversal signals.
Crossovers: Bullish/bearish signals based on RoC vs signal line are plotted as triangles directly on your chart.
Optimized: Backtested for short-term setups like 1H or faster. Works on Daily timeframes as well for Futures.
9. Multi-Timeframe Squeeze Settings
Each timeframe (Hourly, 4H, Daily, Weekly, Monthly) has:
Reversal Toggle: Enables dashed line DM-Style Pivots on crossovers.
MA Length: For Jurik MA smoothing on momentum.
BB/KC Thresholds: Define squeeze sensitivity per timeframe. A shorter BB/KC length, 17-14-12, responds better on lower timeframes.
Momentum Length: Tailors oscillator responsiveness; 20 is ideal.
10. BB Std. Deviation Scaling
Low-Pass Super Smoother : Smooths (True Range) noise for BBs.
High-Pass Butterworth : Extracts cycles for BB Stdv. blend.
Root Mean Squared : Dynamic BB width adjustment based on market activity.
11. Alerts
RSI: Overbought/oversold reversals. Several types.
MACD: Histogram shift through zero line.
DMI/ADX: Crossovers and strength conditions. The 17 key level is used for the ADX.
Volume: Smart Money alerts on low-volume zones. May concentrate on ICT sessions.
Squeeze: Alerts on all 5 squeeze states.
Momentum: Crosses and reversals.
RoC: Bullish and bearish crosses.
Divergences: Regular, hidden, combined.
12. Visual Output Summary
RSI Line + MA/BBs
MACD Histogram Bar Colors
DMI/ADX as area fills
Volume %R columns
Squeeze Momentum Shapes and Dots
RoC Crossover Arrows
DM-style Breakout Pivots
Divergence Lines and Labels
Best Practices
Watch the slope of the RSI for pullbacks on a strong trend. Combine it with squeeze for exit timing.
Combine RSI Divergence with MACD histogram cross and Squeeze firing for precise entry.
Use Volume Z-Score to filter for institutional activity, and enter Long. Watch for reversals as well.
Watch RoC crossovers for fast, leading signals.
Enable Reversal Lines on 1H+ charts for breakout or breakdown pivots.
Use multi-timeframe thresholds for swing confirmation. The TFs I use the most are 2-5-15 minutes for futures and swinging with 1 hour daily and weekly. Those are the TFs I backtested.
Custom MTF DBoardSimple MTF Dboard to use with other indicators as a confluence.
Uses LuxAlgo's SMC concepts to show PA's trend direction- the idea is , if the trends dont align fully, dont take the trade. Or if one of the timeframes are different, maybe its time to get out of a trade cus its gonna reverse into your face?
Try it Lemme know lol
EMAREVEX: Adaptive Multi-Timeframe Mean Reversion
📘 Strategy Overview: EMAREVEX
EMAREVEX (EMA Reversion Expert) is a professionally engineered mean-reversion strategy tailored for BTC/USDT, optimized specifically for the 15-minute and 30-minute timeframes.
It combines:
- Multi-timeframe EMA200 trend filtering (15m & 30m)
- Bollinger Band lower/upper breaches as reversion anchors
- RSI-based confirmation for oversold/overbought conditions
- A trailing stop-loss mechanism that activates only after volatility surpasses a configurable ATR threshold, then dynamically tracks price
This setup targets short-term pullback opportunities in volatile intraday environments.
🔬 Designed for quant-informed traders who seek precision entries and dynamic exit control.
⚠️ Warning:
This strategy is optimized on historical data. It should not be used without discretionary confirmation, appropriate risk management, and forward-testing under live market conditions.
My Script v6SMA Calculation: Computes a Simple Moving Average of the selected input source (default is the closing price) over a user-defined period (Length, default 14).
Buy Signal: Displays a green "BUY" label below the bar when the price crosses above the SMA (bullish crossover).
Sell Signal: Displays a red "SELL" label above the bar when the price crosses below the SMA (bearish crossunder).
Overlay Enabled: The indicator is drawn directly on the price chart (overlay=true).
Fear and Greed Index [DunesIsland]The Fear and Greed Index is a sentiment indicator designed to measure the emotions driving the stock market, specifically investor fear and greed. Fear represents pessimism and caution, while greed reflects optimism and risk-taking. This indicator aggregates multiple market metrics to provide a comprehensive view of market sentiment, helping traders and investors gauge whether the market is overly fearful or excessively greedy.How It WorksThe Fear and Greed Index is calculated using four key market indicators, each capturing a different aspect of market sentiment:
Market Momentum (30% weight)
Measures how the S&P 500 (SPX) is performing relative to its 125-day simple moving average (SMA).
A higher value indicates that the market is trading well above its moving average, signaling greed.
Stock Price Strength (20% weight)
Calculates the net number of stocks hitting 52-week highs minus those hitting 52-week lows on the NYSE.
A greater number of net highs suggests strong market breadth and greed.
Put/Call Options (30% weight)
Uses the 5-day average of the put/call ratio.
A lower ratio (more call options being bought) indicates greed, as investors are betting on rising prices.
Market Volatility (20% weight)
Utilizes the VIX index, which measures market volatility.
Lower volatility is associated with greed, as investors are less fearful of large market swings.
Each component is normalized using a z-score over a 252-day lookback period (approximately one trading year) and scaled to a range of 0 to 100. The final Fear and Greed Index is a weighted average of these four components, with the weights specified above.Key FeaturesIndex Range: The index value ranges from 0 to 100:
0–25: Extreme Fear (red)
25–50: Fear (orange)
50–75: Neutral (yellow)
75–100: Greed (green)
Dynamic Plot Color: The plot line changes color based on the index value, visually indicating the current sentiment zone.
Reference Lines: Horizontal lines are plotted at 0, 25, 50, 75, and 100 to represent the different sentiment levels: Extreme Fear, Fear, Neutral, Greed, and Extreme Greed.
How to Interpret
Low Values (0–25): Indicate extreme fear, which may suggest that the market is oversold and could be due for a rebound.
High Values (75–100): Indicate greed, which may signal that the market is overbought and could be at risk of a correction.
Neutral Range (25–75): Suggests a balanced market sentiment, neither overly fearful nor greedy.
This indicator is a valuable tool for contrarian investors, as extreme readings often precede market reversals. However, it should be used in conjunction with other technical and fundamental analysis tools for a well-rounded view of the market.
SMA Crossing Background Color (Multi-Timeframe)When day trading or scalping on lower timeframes, it’s often difficult to determine whether the broader market trend is moving upward or downward. To address this, I usually check higher timeframes. However, splitting the layout makes the charts too small and hard to read.
To solve this issue, I created an indicator that uses the background color to show whether the current price is above or below a moving average from a higher timeframe.
For example, if you set the SMA Length to 200 and the MT Timeframe to 5 minutes, the indicator will display a red background on the 1-minute chart when the price drops below the 200 SMA on the 5-minute chart. This helps you quickly recognize that the trend on the higher timeframe has turned bearish—without having to open a separate chart.
デイトレード、スキャルピングで短いタイムフレームでトレードをするときに、大きな動きは上に向いているのか下に向いているのかトレンドがわからなくなることがあります。
その時に上位足を確認するのですが、レイアウトをスプリットすると画面が小さくて見えにくくなるので、バックグラウンドの色で上位足の移動平均線では価格が上なのか下なのかを表示させるインジケーターを作りました。
例えば、SMA Length で200を選び、MT Timeframeで5分を選べば、1分足タイムフレームでトレードしていて雲行きが怪しくなってくるとBGが赤になり、5分足では200線以下に突入しているようだと把握することができます。
Random Coin Toss Strategy📌 Overview
This strategy is a probability-based trading simulation that randomly decides trade direction using a coin-toss mechanism and executes trades with a customizable risk-reward ratio. It's designed primarily for testing entry frequency and risk dynamics, not predictive accuracy.
🎯 Core Concept
Every N bars (configurable), the strategy performs a pseudo-random coin toss.
Based on the result:
If heads → Buy
If tails → Sell
Once a position is opened, it sets a Stop-Loss (SL) and Take-Profit (TP) based on a multiple of the current ATR (Average True Range) value.
⚙️ Configurable Inputs
ATR Length Period for ATR calculation, determines volatility basis.
SL Multiplier SL distance = ATR × multiplier (e.g., 1.0 means 1x ATR) .
TP Multiplier TP distance = ATR × multiplier (e.g., 2.0 = 2x ATR) .
Entry Frequency Bars to wait between each new coin toss decision.
Show TP/SL Zones Toggle on/off for drawing visual TP and SL zones.
Box Size Number of bars used to define the width of the TP/SL boxes.
🔁 Entry & Exit Logic
Entry:
Happens only when no current position exists and it's the correct bar interval.
Entry direction is randomly decided.
Exit:
Positions exit at either:
Take-Profit (TP) level
Stop-Loss (SL) level
Both are calculated using the configured ATR-based distances.
🖼️ Visual Features
TP and SL zones:
Rendered as shaded rectangles (boxes) only once per trade.
Green box for TP zone, red box for SL zone.
Automatically deleted and redrawn for each new trade to avoid chart clutter.
ATR Display Table:
A minimal info table at the top-right shows the current ATR value.
Updates every few bars for performance.
🧪 Use Cases
Ideal for risk-reward modeling, strategy prototyping, and understanding how volatility-based SL/TP behavior affects results.
Great for backtesting frequency, RR tweaks (e.g., 2:5 or 3:1), and execution structure in random conditions.
⚠️ Disclaimer
Since the trade direction is random, this script is not meant for predictive trading but serves as a powerful experiment framework for studying how SL, TP, and volatility interact with random chance in a controlled, repeatable system.
AMOGH SMC 1Smart Money Concept (SMC) Indicator market structure ke powerful elements jaise Break of Structure (BOS), Change of Character (CHoCH), liquidity zones, aur Fair Value Gaps (FVG) ko identify karta hai. Is indicator ka purpose hai institutional price movements ko track karna—jahaan large players apna entry ya exit plan karte hain. Traditional indicators ke mukable SMC ek zyada refined aur logic-driven approach deta hai jisme market ka intent samajhna asaan hota hai. Ye tool traders ko trending aur consolidating market conditions me structure-based signals provide karta hai, jisse trade execution aur risk management aur effective ho jata hai. FVGs un zones ko highlight karte hain jahan price imbalance hota hai, aur CHoCH/BOS se market ka directional bias confirm hota hai. Jo traders price action aur institutional footprint pe kaam karte hain, unke liye ye indicator ek must-have resource hai. Iska design clean, customizable aur real-time plotting ke saath optimized hai.
FULLY FUNCTIONAL INDICATOR TESTER🎯 Purpose:
A comprehensive strategy testing framework designed to evaluate custom indicators and trading signals with professional-grade risk management and signal detection capabilities.
✨ Key Features:
Multiple Signal Detection Methods - Value changes, crossovers, threshold-based triggers
Advanced Confluence Filtering - Multi-source confirmation system with lookback periods
Professional Risk Management - Static TP/SL, break-even functionality, position sizing
Custom Exit Signals - Independent exit logic for refined strategy testing
Visual Feedback System - Clear signal plots and real-time status monitoring
Flexible Input Sources - Connect any custom indicator or built-in study
🔧 How to Use:
Connect your indicator outputs to the Entry/Exit source inputs
Select appropriate signal detection method for your indicator type
Configure risk parameters (TP/SL/Break-even)
Enable confluence filters if needed for additional confirmation
Backtest and analyze results with built-in performance metrics
📈 Signal Detection Options:
Value Change: Detects when indicator values change
Crossover Above/Below: Traditional crossover signals
Threshold Triggers: Value-based entry/exit levels
⚙️ Technical Specifications:
Compatible with Pine Script v6
Overlay strategy with position tracking
Real-time performance monitoring table
Configurable margin requirements
Full backtesting compatibility
⚠️ Important Notes:
This is a testing framework - not financial advice
Always validate signals in demo environment first
Past performance does not guarantee future results
Use proper risk management in live trading
🔄 Updates:
Enhanced signal detection algorithms
Improved confluence logic
Added break-even functionality
Visual debugging tools
Perfect for traders and developers looking to systematically tes
