Comparaison DXY, VIX, SPX, DJI, GVZPine Script indicator compares the normalized values of DXY, VIX, SPX, DJI, and GVZ indices on a single scale from 0 to 100. Here's a breakdown of what it does:
Data Requests: Gets closing prices for:
US Dollar Index (DXY)
VIX Volatility Index
S&P 500 (SPX)
Dow Jones Industrial Average (DJI)
Gold Volatility Index (GVZ)
Normalization: Each index is normalized using a 500-period lookback to scale values between 0-100, making them comparable despite different price scales.
Visualization:
Plots each normalized index with distinct colors
Adds a dotted midline at 50 for reference
Uses thicker linewidth (2) for better visibility
Timeframe Flexibility: Works on any chart timeframe since it uses timeframe.period
This is useful for:
Comparing relative strength/weakness between these key market indicators
Identifying divergences or convergences in their movements
Seeing how different asset classes (currencies, equities, volatility) relate
You could enhance this by:
Adding correlation calculations between pairs
Including options to adjust the normalization period
Adding alerts when instruments diverge beyond certain thresholds
Including volume or other metrics alongside price
Forecasting
Coin Jin Multi SMA+ BB+ SMA forcast소개
Coin Jin Multi SMA+ BB+ SMA forecast는 차트 위에 여러 개의 단순이동평균(SMA)과 볼린저 밴드(BB)를 한 번에 표시하고, 선택한 SMA를 곡선형(접선 기반) 예측선으로 앞으로 연장해 보여주는 지표입니다. 스케일은 기본적으로 오른쪽 가격축에 고정되어 차트 축소/확대 시에도 일관되게 보입니다.
핵심 기능
SMA 7종: 5 / 20 / 60 / 112 / 224 / 448 / 896
각 라인의 표시/색상/두께/스타일(Line/Step/Circles) 개별 설정
기본 색: 5=화이트핑크, 20=파랑, 60=연두, 112=오렌지, 224=빨강, 448=흰색, 896=보라
기본 두께: 5=1, 나머지=2
볼린저 밴드: 표시 토글, 소스/기간/배수/두께/채우기 불투명도 설정
SMA 예측선(Forecast):
회귀 기울기+가속도(EMA 스무딩)로 접선이 이어지는 곡선형 외삽
축소해도 확실히 보이는 강제 점선 패턴(세그먼트 보임/숨김)
어떤 SMA에 예측선을 붙일지 개별 토글(기본: 5·20은 꺼짐, 나머지 켜짐)
소스 선택: close/open/high/low/hl2/hlc3/ohlc4 중 선택
사용법
지표를 추가한 뒤, 톱니(설정)에서 SMA, Bollinger, Forecast 그룹을 원하는 대로 조정합니다.
예측선은 기본으로 60/112/224/448/896에만 표시됩니다. 5일/20일에도 연장을 원하면 Forecast → Extend SMA 5/20을 켜세요.
점선이 뭉개져 보이면(매우 축소 시) Force dotted look를 켜고 Dot ON/OFF segments로 패턴을 조정하세요.
마음에 드는 색/두께를 잡았으면 Save as default로 기본값 저장을 권장합니다.
주요 설정 설명
General
MA Source: SMA와 BB의 계산 소스를 선택.
SMA 5/20/…
Show / Color / Width / Type(Line·Step·Circles): 각 라인 개별 제어.
Bollinger
Show / Source / Length / Multiplier / Width / Fill opacity.
Forecast
Show SMA Forecast: 예측선 전체 on/off
Forecast bars ahead: 앞으로 몇 개 봉까지 연장
Slope lookback: 기울기 계산 길이(늘릴수록 완만)
Tangent smoothing (EMA): 접선/곡률 스무딩 강도
Curve segments per MA: 곡선 조각 수(늘리면 더 매끈, 성능 부담↑)
Force dotted look: 축소해도 점선처럼 보이도록 강제 패턴 적용
Dot ON / OFF segments: 점선의 on/off 길이
Extend SMA X: 어떤 SMA에 예측선을 적용할지 선택(5/20 기본 꺼짐)
팁 & 주의
퍼포먼스가 느리면 Forecast bars 또는 Curve segments를 줄이세요.
축이 분리되어 보이면 지표 메뉴 … → Scale → Right/Same as symbol로 통일하세요.
예측선은 통계적 외삽으로 미래를 보장하지 않습니다. 보조 참고용으로만 사용하세요.
버전/호환
Pine Script v6. 공개/업데이트 시 동일 버전 권장.
면책(Disclaimer)
본 지표는 교육 및 참고 목적이며, 투자 손익에 대한 책임은 전적으로 사용자에게 있습니다. Financial advice가 아닙니다.
Tags: moving average, SMA, Bollinger Bands, forecast, extrapolation, curved extension, multi MA, crypto, stocks
Overview
Coin Jin Multi SMA+ BB+ SMA forcast overlays seven Simple Moving Averages (SMA) and Bollinger Bands on price, and can extend selected SMAs forward with a curved, tangent-preserving forecast. The indicator is pinned to the right price scale so it stays aligned when you zoom in/out.
Key features
7 SMAs: 5 / 20 / 60 / 112 / 224 / 448 / 896
Per-line controls: Show, Color, Width, Style (Line/Step/Circles)
Default colors: 5=white-pink, 20=blue, 60=lime, 112=orange, 224=red, 448=white, 896=purple
Default widths: 5=1 (thin), others=2
Bollinger Bands: toggle + source/length/multiplier/width/fill opacity.
Curved SMA forecast: forward extension using smoothed regression slope & acceleration to keep a natural tangent; forced dotted look so it remains dotted even when zoomed out.
Per-SMA forecast toggles: choose which SMAs get extended (defaults: 5 & 20 OFF, others ON).
Source selection: close/open/high/low/hl2/hlc3/ohlc4.
How to use
Add the indicator and open the settings.
Adjust SMA, Bollinger, and Forecast groups to taste.
If you want 5/20 to extend forward, enable Forecast → Extend SMA 5/20.
If dotted lines look solid when zoomed out, keep Force dotted look ON and tune Dot ON/OFF segments.
Settings guide (highlights)
General – MA Source for all moving averages and BB.
SMA 5/20/… – Show / Color / Width / Type per line.
Bollinger – Show / Source / Length / Multiplier / Width / Fill opacity.
Forecast –
Show SMA Forecast, Forecast bars ahead
Slope lookback (longer = smoother trend)
Tangent smoothing (EMA)
Curve segments per MA (more = smoother, heavier)
Force dotted look + Dot ON/OFF segments
Extend SMA X toggles (5 & 20 OFF by default)
Tips & notes
If performance dips, reduce Forecast bars or Curve segments.
If scales split, set the indicator to Right / Same as symbol from the … menu.
Forecasts are statistical extrapolations, not predictions—use as guidance only.
Version / Compatibility
Pine Script v6. Designed for price overlays (overlay=true, right scale).
Disclaimer
For educational purposes only. This is not financial advice; you are responsible for your own trades.
Tags: moving average, SMA, Bollinger Bands, forecast, extrapolation, curved extension, multi MA, crypto, stocks
Quant Signals: Market Sentiment Monitor HUDWavelets & Scale Spectrum
This indicator is ideal for traders who adapt their strategy to market conditions — such as swing traders, intraday traders, and system developers.
Trend-followers can use it to confirm trending conditions before entering.
Mean-reversion traders can spot choppy markets where reversals are more likely.
Risk managers can monitor volatility shifts and regime changes to adjust position size or pause trading.
It works best as a market context filter — telling you the “weather” before you decide on the trade.
Wavelets are like tiny “measuring rulers” for price changes. Instead of looking at the whole chart at once, a wavelet looks at differences in price over a specific time scale — for example, 2 bars, 4 bars, 8 bars, and so on.
The scale spectrum is what you get when you measure volatility at several of these scales and then plot them against scale size.
If the spectrum forms a straight line on a log–log chart, it means price changes follow a consistent pattern across time scales (a power-law relationship).
The slope of that line gives the Hurst exponent (H) — telling you whether moves tend to persist (trend) or reverse (mean-revert).
The height of the line gives you the volatility (σ) — the average size of moves.
This approach works like a microscope, revealing whether the market’s behaviour is consistent across short-term and long-term horizons, and when that behaviour changes.
This tool applies a wavelet-based scale-spectrum analysis to price data to estimate three key market state measures inside a rolling window:
Hurst exponent (H) — measures persistence in price moves:
H > ~0.55 → market is trending (moves tend to continue).
H < ~0.45 → market is choppy/mean-reverting (moves tend to reverse).
Values near 0.5 indicate a neutral, random-walk-like regime.
Volatility (σ) — the average size of price swings at your chart’s timeframe, optionally annualized. Rising volatility means larger price moves, falling volatility means smaller moves.
Fit residual — how well the observed multi-scale volatility fits a clean power-law line. Low residual = stable behaviour; high residual = structural change (possible regime shift).
JOSITOThis indicator highlights equal points that XAU is likely to reach. It is not suitable for other pairs, but for XAU it has proven to be highly accurate — particularly on the 1-minute timeframe.
SKI FVG IndicatorIt uses ICT concepts and takes entries and exits. Identifies good FVG and shows an entry to buy or short and also exits at swing high or low , discount areas, primary areas, DOL (draw on liquidity)
Quant Signals: Entropy w/ ForecastThis is the first of many quantitative signals I plan to create for TV users.
Most technical analysis (TA) tools—like moving averages, oscillators, or chart patterns—are heuristic: they’re based on visually identifiable shapes, threshold crossovers, or empirically chosen rules. These methods rarely quantify the information content or structural complexity of market data. By quantifying market predictability before making a forecast, this method filters out noise and focuses your trading only during statistically favorable conditions—something traditional TA cannot objectively measure.
This MEPP-based approach is quantitative and model-free:
It comes from information theory and measures Shannon entropy rate to assess how predictable the market is at any moment.
Instead of interpreting price formations, it uses a data-compression algorithm (Lempel–Ziv) to capture hidden structure in the sequence of returns.
Forecasts are generated using a principle from statistical physics (Maximum Entropy Production), not historical chart patterns.
In short, this method measures the market's predictability BEFORE deciding a directional forecast is worth trusting. This tool is to inform TA traders on the market's current regime, whether it is smooth and predictable or it is volatile and turbulent.
Technical Introduction:
In information theory, Shannon entropy measures the uncertainty (or information content) in a sequence of data. For markets, the entropy rate captures how much new information price returns generate over time:
Low entropy rate → price changes are more structured and predictable.
High entropy rate → price changes are more random and unpredictable.
By discretizing recent returns into quartile-based states, this indicator:
Calculates the normalized entropy rate as a regime filter.
Uses MEPP to forecast the next state that maximizes entropy production.
Displays both the regime status (predictable vs chaotic) and the forecast bias (bullish/bearish) in a dashboard.
Measurements & How to Use Them
TLDR: HIGH ENTROPY -> information generation/market shift -> Don't trust forecast/strategy
1. H (bits/sym)
Shannon entropy rate of the last μ discrete returns, in bits per symbol (0–2).
Lower → more predictable; higher → more random.
Use as a raw measure of market structure.
2. H_max (log₂Ω)
Theoretical maximum entropy for Ω states. Here Ω = 4 → H_max = 2.0 bits.
Reference value for normalization.
3. Entropy (norm)
H / H_max, scaled between 0 and 1.
< 0.5–0.6 → predictable regime; > 0.6 → chaotic regime.
Main regime filter — forecasts are more reliable when below your threshold.
4. Regime
Label based on Entropy (norm) vs your entThresh.
LOW (predictable) = higher odds forecast will be correct.
HIGH (chaotic) = forecasts less reliable.
5. Next State (MEPP Forecast)
Discrete return state (1–4) predicted to occur next, chosen to maximize entropy production:
Large Down (strong bearish)
Small Down (mild bearish)
Small Up (mild bullish)
Large Up (strong bullish)
Use as your bias direction.
6. Bias
Simplified label from the Next State:
States 1–2 = Bearish bias (red)
States 3–4 = Bullish bias (green)
Align strategy direction with bias only in LOW regime.
ADR % Meter (NY Filter) Top right boxHelps know daily range to forecast if said today is gonna be choppy
Floating Bands of the Argentine Peso (Sebastian.Waisgold)
The BCRA ( Central Bank of the Argentine Republic ) announced that as of Monday, April 15, 2025, the Argentine Peso (USDARS) will float within a system of divergent exchange rate bands.
The upper band was set at ARS 1400 per USD on 15/04/2025, with a +1% monthly adjustment distributed daily, rising by a fraction each day.
The lower band was set at ARS 1000 per USD on 15/04/2025, with a –1% monthly adjustment distributed daily, falling by a fraction each day.
This indicator is crucial for anyone trading USDARS, since the BCRA will only intervene in these situations:
- Selling : if the Peso depreciates against the USD above the upper band .
- Buying : if the Peso appreciates against the USD below the lower band .
Therefore, this indicator can be used as follows:
- If USDARS is above the upper band , it is “expensive” and you may sell .
- If USDARS is below the lower band , it is “cheap” and you may buy .
It can also be applied to other assets such as:
- USDTARS
- Dollar Cable / CCL (Contado con Liquidación) , derived from the BCBA:YPFD / NYSE:YPF ratio.
A mid band —exactly halfway between the upper and lower bands—has also been added.
Once added, the indicator should look like this:
In the following image you can see:
- Upper Floating Band
- Lower Floating Band
- Mid Floating Band
User Configuration
By double-clicking any line you can adjust:
- Start day (Dia de incio), month (Mes de inicio), and year (Año de inicio)
- Initial upper band value (Valor inicial banda superior)
- Initial lower band value (Valor inicial banda inferior)
- Monthly rate Tasa mensual %)
It is recommended not to modify these settings for the Argentine Peso, as they reflect the BCRA’s official framework. However, you may customize them—and the line colors—for other assets or currencies implementing a similar band scheme.
SNR Pro by LogicatSNR Pro by Logicat — read the tape like a pro.
This indicator builds clean, close-based Support/Resistance from pivots and then hunts for actionable touches and breaks in real time.
Feature 1 – Strict Next-Bar Retest: Instantly flags the very next candle that taps a fresh S/R and rejects it (bulls at S, bears at R). No early signals, no clutter.
Feature 2 – Pair-Bar Retest: When a new S/R forms (two-bar pivot), the second bar gets checked for a real touch of the previous level—precision retests only.
Feature 3 – Break Watch: Untouched levels are “broken” the moment price closes beyond them, marked clearly so you know when structure shifts.
Feature 4 – SBR/RBS Zones: Right after a valid break, it auto-plots entry boxes (S→SBR or R→RBS) projecting forward from the break bar—your map for the next reaction.
Feature 5 – EG Zones: Captures momentum boxes from seed candles; overlapping bull/bear zones highlight extreme areas worth your attention.
A tidy sticky-note in the corner calls the latest signal (“BUY/SELL/Exit”), and alerts keep you notified even off-chart. Everything is color-customizable (hello, neon 🎇). Use it to spot clean rejections, fresh breaks, and high-probability reaction zones—fast.
Minimal S/R Zones with Volume StrengthHow it works
Pivot Detection
A pivot high is a candle whose high is greater than the highs of a certain number of candles before and after it.
A pivot low is a candle whose low is lower than the lows of a certain number of candles before and after it.
Parameters like Pivot Left Bars and Pivot Right Bars control how sensitive the pivots are.
Zone Creation
Pivot High → creates a Resistance zone.
Pivot Low → creates a Support zone.
Each zone is defined as a price range (top and bottom) and drawn horizontally for a given lookback length.
Volume Strength Filter
Volume Strength (%) = (Volume at Pivot / Volume SMA) × 100.
If the strength is below the minimum threshold (Min Strength %), the zone is ignored.
This ensures only pivots with significant trading activity create zones.
Zone Management
The indicator stores zones in arrays.
Max Zones per side prevents too many zones from being displayed at once.
Older zones are removed when new ones are added beyond the limit.
Visuals
Support zones → green label with Volume Strength %.
Resistance zones → red label with Volume Strength %.
Zones have semi-transparent boxes so price action remains visible.
Painel Técnico — Múltiplos TFs (5m,15m,1h,4h,1D) BrenoGtechnical table with inflection points that help me buy
TAKEPROFITS SECRET SAUCE V4Plots daily 4hr 1kr and 15min levels
adjustable colors
This indicator auto plots for you
CCL INDICATOR V1.2🔷 CCL INDICATOR 1.2 — See the Market with Structure
A powerful mix of mathematical zones, Fibonacci levels, period filters, and session-based logic — all in one clean indicator.
✅ Dynamic support & resistance
✅ Buy/sell signal arrows
✅ Modular: turn features on/off as you like
✅ Alerts, dashboard, and clean visual design
Don’t guess the market — understand it.
Swing High/Low SignalsSwing High/Low Signals – profit gang
Quickly spot recent market turning points with this clean swing high/low indicator.
Marks swing highs & lows with labels or triangles
Optional connecting lines & background highlights
Alerts when new swings form
Info table showing last swing levels & current price
Fully adjustable lookback period for any timeframe.
Disclaimer: For educational use only. Not financial advice.
Wickless Precision IndicatorThe Wickless Precision Indicator is a powerful tool designed to identify and highlight wickless and tailless candlestick patterns on your TradingView charts. A wickless candle, where the open or close price equals the high or low, signals strong directional momentum and potential support or resistance levels. This indicator automatically detects these unique candles, drawing customizable horizontal lines at their key price levels to help traders spot critical zones for entries, exits, or reversals.
Key Features:
Automatic Wickless Detection: Identifies bullish (no lower wick) and bearish (no upper wick) candles with precision.
Dynamic Line Plotting: Draws horizontal lines at the high or low of wickless candles, extending until price interaction or user-defined conditions.
Customizable Settings: Adjust line styles, colors, and sensitivity thresholds to suit your trading style.
Visual Markers: Highlights wickless candles with distinct shapes (e.g., triangles or crosses) for easy identification.
Alert Integration: Set real-time alerts to stay notified when wickless candles form, ensuring you never miss a potential trading opportunity.
Use Cases:
Pinpoint strong support/resistance zones where price rejection is evident.
Identify high-probability entry or exit points based on momentum-driven candles.
Enhance price action strategies with clear visual cues for market sentiment shifts.
Perfect for traders seeking to capitalize on clean, wickless price movements, the Wickless Precision Indicator simplifies technical analysis and boosts trading confidence.
ML Compressor Enhanced Trading Indicator# 🤖 ML Enhanced Trading Indicator - Advanced Market Analysis
## 📊 Overview
This is a comprehensive Machine Learning Enhanced Trading Indicator that combines multiple advanced analytical techniques to provide high-probability trading signals. The indicator uses artificial intelligence, pattern recognition, anomaly detection, and traditional technical analysis to identify optimal entry and exit points in the market.
## 🚀 Key Features
### 🧠 **Machine Learning Core**
- **Advanced Pattern Recognition**: Uses cosine similarity, Pearson correlation, and Spearman rank correlation to identify historical patterns
- **AI-Powered Predictions**: Implements multiple correlation methods to forecast price movements
- **Anomaly Detection**: Z-score based detection system for unusual market activities
- **Signal Confidence Scoring**: Reliability assessment for each trading signal
### 📈 **Technical Analysis Integration**
- **Multi-Timeframe RSI Analysis**: 14 and 21-period RSI with oversold/overbought detection
- **MACD Momentum**: Enhanced MACD histogram analysis for trend confirmation
- **Bollinger Bands Position**: Dynamic position tracking within BB channels
- **Volume Analysis**: Spike and dry volume detection with ratio calculations
- **Trend Strength Measurement**: EMA-based trend power analysis
### 🎯 **Perfect Zone Detection**
- **Ideal Buy Zone**: Identifies perfect buying opportunities when 7 conditions align:
- ML Score ≥ 0.60
- Bottom proximity detection
- RSI in 20-35 range
- Volume spike confirmation
- Positive price anomaly
- Bullish pattern match
- Positive MACD momentum
### 📊 **Comprehensive Display Table**
- **Real-time ML Analysis**: Complete breakdown of all indicators
- **Perfect Buy Conditions Tracker**: Visual checklist with completion percentage
- **Performance Metrics**: Win rate tracking and P&L analysis
- **Signal Strength Indicators**: Confidence levels for each signal
## 🔧 **Customizable Parameters**
### **ML Settings**
- **ML Lookback Period**: 20-500 bars (default: 100)
- **Anomaly Threshold**: 1.0-5.0 sensitivity (default: 2.0)
- **Pattern Similarity**: 0.5-0.99 matching threshold (default: 0.80)
- **AI Lookback Period**: 20-200 bars (default: 50)
### **AI Prediction Models**
- **Correlation Methods**: Spearman, Pearson, Cosine Similarity
- **Forecast Length**: 15-250 bars (default: 50)
- **Similarity Type**: Price or %Change analysis
### **Visual Options**
- **Table Position**: Top/Bottom Left/Right positioning
- **Table Size**: Small, Normal, Large options
- **Signal Display**: Toggle buy/sell signals on/off
- **AI Visualization**: Optional prediction paths and ZigZag
## 📋 **How to Use**
### **For Beginners**
1. Add the indicator to your chart
2. Look for "PERFECT BUY" signals in the table
3. Wait for completion percentage ≥ 85% for highest probability trades
4. Use the background color changes as visual confirmation
### **For Advanced Traders**
1. Analyze individual ML components in the detailed table
2. Monitor anomaly detection for unusual market conditions
3. Use pattern confidence levels for trade timing
4. Combine with your existing strategy for confirmation
### **Signal Interpretation**
- **🟢 PERFECT BUY**: All 7 conditions met - highest probability reversal
- **🟡 NEAR BOTTOM**: Close to ideal conditions - monitor closely
- **🔴 NOT READY**: Wait for better setup
- **Strong Buy/Sell Signals**: ML score-based entries with high confidence
## ⚠️ **Important Notes**
### **Risk Management**
- This indicator provides analysis and signals, not guaranteed outcomes
- Always use proper risk management and position sizing
- Consider market conditions and fundamental factors
- Backtest the strategy on your preferred timeframes and assets
### **Best Practices**
- Use multiple timeframe analysis for confirmation
- Combine with support/resistance levels
- Monitor volume confirmation for all signals
- Set appropriate stop-losses and profit targets
### **Performance Tracking**
- The indicator tracks its own performance with win rate calculations
- Monitor the "AI Prediction" accuracy percentage
- Use the P&L tracking to assess signal quality over time
## 🔄 **Updates and Improvements**
This indicator is continuously evolving with:
- Enhanced machine learning algorithms
- Improved pattern recognition capabilities
- Additional correlation methods for better accuracy
- Performance optimization for faster calculations
- New visualization features based on user feedback
## 📚 **Technical Details**
### **Machine Learning Implementation**
- **Pattern Matching**: 20-bar normalized price patterns with historical comparison
- **Correlation Analysis**: Mathematical similarity scoring between current and historical patterns
- **Anomaly Detection**: Statistical Z-score analysis across price, volume, and RSI
- **Signal Weighting**: Multi-factor scoring system with optimized weights
### **Algorithm Components**
1. **Feature Extraction**: Price, volume, momentum, volatility, and trend features
2. **Pattern Recognition**: Historical pattern database with similarity matching
3. **Anomaly Detection**: Multi-dimensional Z-score threshold analysis
4. **Signal Generation**: Weighted scoring system with confidence intervals
5. **Performance Tracking**: Real-time win rate and accuracy monitoring
### **Calculation Methods**
- **Trend Strength**: (EMA8 - EMA21) / EMA21 * 100
- **Volume Ratio**: Current Volume / 20-period SMA Volume
- **BB Position**: (Close - BB_Lower) / (BB_Upper - BB_Lower)
- **Anomaly Score**: Average of normalized Z-scores for price, volume, and RSI
## 🎨 **Visual Elements**
### **Background Colors**
- **Light Green**: Perfect buy zone detected
- **Light Red**: Perfect sell zone detected
- **Light Blue**: Near bottom proximity
- **Green/Red Transparency**: Price anomaly detection
### **Signal Shapes**
- **Green Triangle Up**: Strong buy signal
- **Red Triangle Down**: Strong sell signal
- **Aqua Diamond**: Perfect buy zone entry
- **Purple Diamond**: Perfect sell zone entry
### **Table Information**
- **ML Complete Analysis**: 16 comprehensive metrics
- **Perfect Buy Conditions**: 7-point checklist with status indicators
- **Real-time Values**: Live updating of all calculations
- **Color-coded Status**: Green (good), Yellow (moderate), Red (caution)
## 🔍 **Troubleshooting**
### **Common Issues**
- **Table Not Showing**: Enable "Show ML Table" in settings
- **No Signals Appearing**: Check "Show Buy/Sell Signals" option
- **Performance Issues**: Reduce ML Lookback Period for faster calculation
- **Too Many/Few Signals**: Adjust Anomaly Threshold sensitivity
### **Optimization Tips**
- **For Day Trading**: Use lower timeframes (1m, 5m, 15m) with reduced lookback periods
- **For Swing Trading**: Use higher timeframes (1h, 4h, 1D) with standard settings
- **For Scalping**: Enable only strong signals and reduce pattern similarity threshold
- **For Long-term**: Increase all lookback periods and use daily/weekly timeframes
## 📖 **Disclaimer**
This indicator is for educational and informational purposes only. It should not be considered as financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
### **Risk Warning**
- All trading involves risk of substantial losses
- Never risk more than you can afford to lose
- This indicator does not guarantee profitable trades
- Always use proper risk management techniques
- Consider consulting with a financial advisor
### **Liability**
The creator of this indicator is not responsible for any losses incurred from its use. Users should thoroughly test and understand the indicator before using it with real money.
### **Feature Requests**
- Suggest improvements through TradingView comments
- Report bugs with detailed descriptions
- Share successful strategies using the indicator
- Contribute to community discussions
## 🏆 **Credits and Acknowledgments**
This indicator builds upon various open-source libraries and mathematical concepts:
- TradingView ZigZag library for visualization
- Statistical correlation methods from academic research
- Machine learning concepts adapted for financial markets
- Community feedback and testing contributions
## 📈 **Performance Metrics**
The indicator includes built-in performance tracking:
- **Win Rate Calculation**: Percentage of profitable signals
- **Signal Accuracy**: ML prediction vs actual price movement
- **Drawdown Tracking**: Current unrealized P&L from last signal
- **Completion Percentage**: How many perfect conditions are met
## 🔬 **Mathematical Foundation**
### **Correlation Calculations**
- **Pearson**: Measures linear correlation between patterns
- **Spearman**: Rank-based correlation for non-linear relationships
- **Cosine Similarity**: Vector-based similarity for pattern matching
### **Statistical Methods**
- **Z-Score**: (Value - Mean) / Standard Deviation
- **Pattern Normalization**: Price / Price
- **Volatility Percentile**: Historical ranking of current volatility
- **Momentum Calculation**: Price change over multiple periods
## 🎯 **Trading Strategies**
### **Conservative Approach**
- Wait for Perfect Buy Zone (85%+ completion)
- Use higher timeframes for confirmation
- Set stop-loss at recent swing low
- Take profits at resistance levels
### **Aggressive Approach**
- Trade on Strong Buy/Sell signals
- Use lower completion thresholds (70%+)
- Tighter stop-losses with faster exits
- Higher position sizes with confirmed trends
### **Hybrid Strategy**
- Combine with other indicators for confirmation
- Use different settings for different market conditions
- Scale in/out based on signal strength
- Adjust parameters based on market volatility
AI-Powered ScalpMaster Pro [By TraderMan]🧠 AI-Powered ScalpMaster Pro How It Works
📊 What Is the Indicator and What Does It Do?
🧠 AI-Powered ScalpMaster Pro is a powerful technical analysis tool designed for scalping (short-term, fast-paced trading) in financial markets such as forex, crypto, or stocks. It combines multiple technical indicators (RSI, MACD, Stochastic, Momentum, EMA, SuperTrend, CCI, and OBV) to identify market trends and generate AI-driven buy (🟢) or sell (🔴) signals. The goal is to help traders seize profitable scalping opportunities with quick and precise decisions. 🚀
Key Features:
🧠 AI-Driven Logic: Analyzes signals from multiple indicators to produce reliable trend signals.
📈 Signal Strength: Displays buy (bull) and sell (bear) signal strength as percentages.
✅ Success Rate: Tracks the performance of the last 5 trades and calculates the success rate.
🎯 Entry, TP, and SL Levels: Automatically sets entry points, take profit (TP), and stop loss (SL) levels.
📏 EMA Zone: Analyzes price movement around the EMA 200 to confirm trend direction.
⚙️ How Does It Work?
The indicator uses a scoring system by combining the following technical indicators:
RSI (14): Evaluates whether the price is in overbought or oversold zones.
MACD (12, 26, 9): Analyzes trend direction and momentum.
Stochastic (%K): Measures the speed of price movement.
Momentum: Checks the price change over the last 10 bars.
EMA 200: Determines the long-term trend direction.
SuperTrend: Tracks trends based on volatility.
CCI (20): Measures price deviation from its normal range.
OBV ROC: Analyzes volume changes.
Each indicator generates a buy (bull) or sell (bear) signal. If 6 or more indicators align in the same direction (e.g., bullScore >= 6 for buy), the indicator produces a strong trend signal:
📈 Strong Buy Signal: bullScore >= 6 and bullScore > bearScore.
📉 Strong Sell Signal: bearScore >= 6 and bearScore > bullScore.
🔸 Neutral: No dominant direction.
Additionally, the EMA Zone feature confirms the trend based on the price’s position relative to a zone around the EMA 200:
Price above the zone and sufficiently distant → Uptrend (UP). 🟢
Price below the zone and sufficiently distant → Downtrend (DOWN). 🔴
Price within the zone → Neutral. 🔸
🖥️ Display on the Chart
Table: A table in the top-right corner shows the status of all indicators (✅ Buy / ❌ Sell), signal strength (as %), success rate, and results of the last 5 trades.
Lines and Labels:
🎯 Entry Level: A gray line at the price level when a new signal is generated.
🟢 TP (Take Profit): A green line showing the take-profit level.
🔴 SL (Stop Loss): A red line showing the stop-loss level.
EMA Zone: The EMA 200 and its surrounding colored zone visualize the trend direction (green: uptrend, red: downtrend, gray: neutral).
📝 How to Use It?
Platform Setup:
Add the indicator to the TradingView platform.
Customize settings as needed (e.g., EMA length, risk/reward ratio).
Monitoring Signals:
Check the table: Look for 📈 STRONG BUY or 📉 STRONG SELL signals to prepare for a trade.
AI Text: Trust signals more when it says "🧠 FULL CONFIDENCE" (success rate ≥ 50%). Be cautious if it says "⚠️ LOW CONFIDENCE."
Entering a Position:
🟢 Buy Signal:
Table shows "📈 STRONG BUY" and bullScore >= 6.
Price is above the EMA Zone (green zone).
Entry: Current price (🎯 entry line).
TP: 2% above the entry price (🟢 TP line).
SL: 1% below the entry price (🔴 SL line).
🔴 Sell Signal:
Table shows "📉 STRONG SELL" and bearScore >= 6.
Price is below the EMA Zone (red zone).
Entry: Current price (🎯 entry line).
TP: 2% below the entry price (🟢 TP line).
SL: 1% above the entry price (🔴 SL line).
Position Management:
If the price hits TP, the trade closes profitably (✅ Successful).
If the price hits SL, the trade closes with a loss (❌ Failed).
Results are updated in the "Last 5 Trades" section of the table.
Risk Management:
Default risk/reward ratio is 1:2 (1% risk, 2% reward).
Always adjust position size based on your capital.
Consider smaller lot sizes for "⚠️ LOW CONFIDENCE" signals.
💡 Tips
Timeframe: Use 1-minute, 5-minute, or 15-minute charts for scalping.
Market Selection: Works best in volatile markets (e.g., BTC/USD, EUR/USD).
Confirmation: Ensure the EMA Zone trend aligns with the signal.
Discipline: Stick to TP and SL levels, avoid emotional decisions.
⚠️ Warnings
No indicator is 100% accurate. Always use additional analysis (e.g., support/resistance).
Be cautious during high-volatility periods (e.g., news events).
The success rate is based on past performance and does not guarantee future results.
CoinSidual SR Top3What it does
Plots up to 3 Resistance (red) and 3 Support (green) zones using confirmed swing highs/lows. Nearby levels are clustered by tolerance (bps) to avoid duplicates. Lines extend left/right and auto-update.
Inputs
• Swing Length – pivot lookback/forward
• Lookback Bars – analysis window size
• Cluster Tolerance (bps) – merge distance
• Line Extend Bars – label/line span
• Show R/S Labels – toggle labels
Notes
Works on any symbol/timeframe. No alerts. For educational use only.
📱 Mobile EMA + V2L5 (edegrano)User Manual: Mobile EMA + V2 (edegrano)
Overview
This TradingView indicator combines EMA bias analysis and multi-timeframe linear regression trendlines with key crossover signals, displayed both on the chart and summarized in a colour-coded table for quick decision-making on mobile devices or desktops.
Inputs
Input Name Description Default
Custom EMA Timeframe Timeframe used to calculate EMA 50, 100, 200 "1" (1m)
Show EMAs on Chart Toggle to plot EMAs (50-blue, 100-black, 200-red) true
Linear Regression Length Period length for linear regression trendlines 20
Show EMA 50 > EMA 200 Bias Show EMA bias row in the table (Bullish/Bearish) true
Show Trendline Slope Bias Show trendline slope bias row in the table true
Price Distance % from Cross Percentage distance used to calculate above/below cross prices in table 2.0
What It Shows
On Chart:
EMA 50 (blue), EMA 100 (black), EMA 200 (red) lines
Vertical lines at EMA 50/200 crossover bars (blue for bullish, red for bearish)
Labels “Bull Cross” or “Bear Cross” on crossover bars
Signal dots (up to 3 consecutive strong buy or sell signals)
Table (bottom-left corner):
Row Description
EMA 50 > EMA 200 Bullish if EMA 50 is above EMA 200, Bearish otherwise (colored green/red text)
Trendline slope Bullish if all 1m, 3m, 5m regression slopes are up, Bearish if all down, Neutral otherwise (green/red/gray text)
Last EMA Cross Price Price where EMA 50 and EMA 200 last crossed (light blue text)
+% Above Cross Price percentage above last EMA cross price (dark orange text)
-% Below Cross Price percentage below last EMA cross price (red text)
Final Suggestion Overall signal: “Strong Buy 💎”, “Strong Sell 💎”, or “Mixed / Neutral” with green/red/gray background
How To Use
Set your preferred timeframe for EMA calculations using the Custom EMA Timeframe input. The default is 1 minute.
Enable or disable EMAs and table rows as you prefer with toggles.
Watch the table for quick bias and trend signals with color-coded text for easy interpretation.
Use the Last EMA Cross Price and the above/below percentage price points to identify key levels for entries, stops, or take profits.
Monitor the chart for EMA crossover vertical lines and labels to confirm signals visually.
Strong Buy or Sell dots indicate good entry opportunities — limited to 3 per consecutive trend.
Tips
Adjust the Price Distance % input to increase/decrease sensitivity of above/below price levels.
Combine this indicator with volume, price action, or other tools for best results.
Use on mobile or desktop with the compact table to stay informed without clutter.
Entropy (Fiedor/Kontoyiannis) - Part 2 of Fiedor's TheoryThis indicator estimates the Shannon entropy of a price series using a Markov chain model of binary returns, following the approach of Fiedor (2014) and Kontoyiannis (1997).
% of Max shows current entropy as a percentage of its theoretical maximum (1 bit for binary up/down moves).
Percentile ranks the current entropy against historical values in the chosen lookback window.
High entropy suggests price movement is less predictable by frequentist models; low entropy implies more structure and predictability.
Use this as an informational oscillator, not a trading signal.
This is a visualization of Part 1 of Fiedor's Theory. The same entropy logic is already embedded in Part 1 however the second pane is a nice reminder of why it works.
GLD GC Price Converter Its primary function is to fetch the prices of the Gold ETF (ticker: GLD) and Gold Futures (ticker: GC1!) and then project significant price levels from one or both of these assets onto the chart of whatever instrument you are currently viewing.
Core Functionality & Features
Dual Asset Tracking: The script simultaneously tracks the prices of GLD and Gold Futures (GC).
Dynamic Price Level Projection: The script's main feature is its ability to calculate and draw horizontal price levels. It determines a "base price" (e.g., the nearest $100 level for GC) and then draws lines at specified increments above and below it. The key is that these levels are projected onto the current chart's price scale.
On-Chart Information Display:
Price Table: A customizable table can be displayed in any corner of the chart, showing the current prices of GLD and GC. It can also show the daily percentage change for GC, colored green for positive changes and red for negative ones.
Last Price Label: It can show a label next to the most recent price bar that displays the current prices of both GLD and GC.
Extensive Customization: The user has significant control over the indicator's appearance and behavior through the settings panel.
This includes:
Toggling the display for GLD and GC levels independently.
Adjusting the multiplier for the price levels (e.g., show levels every $100 or $50 for GC).
Changing the colors, line styles (solid, dashed, dotted), and horizontal offset for the labels.
Defining the number of price levels to display.
Controlling the text size for labels and the table.
Choosing whether the script updates on every tick or only once per candle close for better performance.
📱 Mobile EMA + Trendline Bias (edegrano)📱 Mobile EMA + Trendline Bias (edegrano) — User Manual
What It Does
This indicator helps you spot strong bullish or bearish trends by combining:
EMA Bias: Using the relationship between EMA 50 and EMA 200 on your chosen timeframe.
Trendline Slope Bias: Using linear regression trendlines on fixed 1-minute, 3-minute, and 5-minute charts.
Signal Dots: Visual buy/sell signals limited to the first 3 occurrences after the last opposite signal to avoid noise.
Summary Table: Shows the current trend bias and final suggestion.
EMA Plots: Shows EMA 50, EMA 100, and EMA 200 lines on your chart.
Tag Label: Displays a small signature tag “📱 edegrano Mobile” on the chart.
Inputs
Input Name Description Default Notes
Custom EMA Timeframe (userTF) Timeframe used to calculate EMAs "1" (1 min) Choose your preferred timeframe (e.g., 1, 3, 5, 15, 60 minutes, etc.)
Show EMAs on Chart (showEMA) Toggle EMA lines visibility true Show or hide EMA 50, 100, and 200 lines
Linear Regression Length (regLen) Length of bars used in regression 20 Adjusts sensitivity of regression trendlines (lower = more responsive)
Show EMA Bias Row (showRowEMA50) Show/hide EMA bias row in the table true Display the EMA 50 > EMA 200 bias status in table
Show Trendline Bias Row (showRowTrend) Show/hide trendline slope row in table true Display the trendline slope bias status in table
How to Use
Set Your Timeframe:
Choose the timeframe for EMA calculations (userTF) depending on your trading style.
Scalpers might use 1-5 minute charts.
Day traders might choose 5-30 minutes.
Swing traders could go 1 hour or more.
Watch the EMA Lines:
EMA 50 (blue), EMA 100 (black), and EMA 200 (red) are plotted on your chart.
These lines help you visualize trend direction and momentum.
Understand the Bias Conditions:
EMA Bias:
Bullish: EMA 50 > EMA 200
Bearish: EMA 50 < EMA 200
Trendline Slope Bias:
Calculated on fixed 1m, 3m, and 5m charts.
Bullish if slope of all 3 regression lines is up (current value > previous).
Bearish if slope of all 3 regression lines is down.
Look for Signal Dots:
Green (lime) dots below bars: Strong Buy signals (first 3 occurrences only after last sell).
Red dots above bars: Strong Sell signals (first 3 occurrences only after last buy).
This limitation helps reduce noise from too many signals.
Check the Table (Bottom Left):
Shows EMA bias and trendline slope status.
Displays overall final suggestion:
Strong Buy 💎
Strong Sell 💎
Mixed / Neutral
Tag Label:
A small label "📱 edegrano Mobile" appears on the chart for easy identification.
Tips & Best Practices
Adjust Regression Length (regLen):
Lower values (e.g., 15-20) react faster but may generate false signals.
Higher values (30-50) smooth noise but react slower — better for longer-term trades.
Combine with Other Indicators:
Use volume, candlestick patterns, or support/resistance to confirm signals.
Don’t Trade Against the Signal:
Avoid entering buy trades during a “Strong Sell” phase and vice versa.
Monitor Multiple Timeframes:
Consider confirming trends on higher timeframes.
Parameter Suggestions by Trading Style
Style EMA Timeframe Regression Length (regLen)
Scalping 1 min 15 - 20
Day Trading 5 - 15 min 20 - 30
Swing Trading 1 hour or higher 30 - 50
Position Trading 4 hour, Daily, Weekly 50 - 100
