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Liquidity and S&R Zones╔══════════════════════════════════════════════════════════════════════╗ ║ Description ║ ╚══════════════════════════════════════════════════════════════════════╝ This indicator identifies liquidity zones and support/resistance (S&R) levels using pivot points and volume analysis. Liquidity zones highlight areas of high trading activity, while S&R levels mark key price levels where price may reverse or break. Breakouts are confirmed with a volume oscillator and visualized with shapes. Alerts are provided for significant S&R breakouts. ╔══════════════════════════════════════════════════════════════════════╗ ║ User Guide ║ ╚══════════════════════════════════════════════════════════════════════╝ #### Overview This indicator detects liquidity zones and support/resistance (S&R) levels using pivot points and volume analysis. Liquidity zones highlight areas of high trading activity, often targeted by institutional traders. S&R levels indicate key price levels where price may reverse or break, with breakouts confirmed by a volume oscillator. The indicator is designed for traders seeking to trade breakouts or reversals at critical levels. #### Features - **Liquidity Zones**: Identifies pivot highs/lows with high-volume confirmation. - **Support/Resistance Levels**: Plots dynamic S&R lines based on pivot points. - **Breakout Signals**: Displays shapes for price crossing S&R levels with volume confirmation. - **Volume Oscillator**: Uses short/long EMA difference to confirm breakouts. - **Alerts**: Notifies users of support/resistance breakouts. #### Input Parameters - **Liquidity Settings**: - *Liquidity Lookback Period*: Bars for average volume (default: 50). - *Liquidity Volume Threshold Multiplier*: Volume multiplier for liquidity zones (default: 1.5). - *Liquidity Pivot Lookback*: Bars for pivot detection (default: 5). - **S&R Settings**: - *Show Breaks*: Toggle breakout shapes (default: true). - *Left/Right Bars*: Bars for S&R pivot detection (default: 15). - *S&R Volume Threshold*: Minimum oscillator value for breakouts (default: 20). - **Style Settings**: Predefined colors for liquidity and S&R visualization. #### Usage 1. Apply the indicator to a chart (e.g., 1H, 4H, or D timeframes recommended). 2. Adjust input parameters to suit the instrument and timeframe: - Increase `liqLookback` for smoother volume averages on lower timeframes. - Adjust `leftBars` and `rightBars` for more/less sensitive S&R levels. - Set `srVolumeThresh` based on typical oscillator values (plot `osc` to calibrate). 3. Monitor liquidity zones (red/green/yellow crosses) and S&R lines (red/green). 4. Watch for breakout signals (shapes) when price crosses S&R levels with volume confirmation. 5. Set up alerts for "Support Broken" or "Resistance Broken" to receive notifications. #### Recommended Settings - **Timeframes**: 1H, 4H, or D for reliable signals. - **Instruments**: Assets with good volume (e.g., crypto, forex, indices). - **Liquidity**: Increase `liqVolumeThreshold` (e.g., 2.0) for stricter zones. - **S&R**: Use `leftBars = rightBars = 10` for faster markets. #### Cautions - Ensure sufficient chart history for pivot and volume calculations. - High `liqLookback` or `leftBars` may delay signals on lower timeframes. - Volume oscillator requires accurate volume data; test on reliable instruments. - Backtest breakout signals, as false breakouts can occur in choppy markets. #### Customization Ideas - Add Fibonacci levels to complement S&R zones. - Integrate with trend indicators (e.g., EMA) to filter breakouts. - Visualize volume oscillator as a histogram for calibration. - Extend liquidity zones with boxes to highlight price ranges. #### Notes - Combine with other analysis for a complete trading system. - Test thoroughly in a demo account before live trading. - Contact the author for support or feature requests. Happy trading, and may your trades align with the market’s key levels! 🚀
Pine Script® göstergesi
KoKalito tarafından
Future OI AnalysisThis indicator appears to be a Futures Open Interest (OI) Analysis Tool designed to help traders understand market sentiment (long/short bias), cost of carry dynamics, and rollover behaviour. Below is a comprehensive description along with the formulas used: To analyze futures market trends using: Price change Open Interest (OI) data Cost of Carry (COC) Rollover percentage Column Breakdown and Formulas: Date : Trading date. Close : Close price of the spot on that day. OI Cur (Current Open Interest) : Total open interest of the current (near) month contract. OI Next (Next Month Open Interest) : Open interest of the next month contract. COI (Cumulative Open Interest) : OI Cur + OI Next COI Chg = ((Current COI - Previous COI) / Previous COI) × 100 Price Cng = ((Current Close - Previous Close) / Previous Close) × 100 OI BuildUP (Interpreted sentiment based on price & OI change): Long Buildup : Price ↑ & OI ↑ Short Buildup : Price ↓ & OI ↑ Short Covering : Price ↑ & OI ↓ Long Unwinding : Price ↓ & OI ↓
Pine Script® göstergesi
subhajitbhattacharya tarafından
7
PoiBox# PoiBox: Advanced Market Structure and POI Visualization Tool PoiBox is a comprehensive market structure analysis tool designed to identify high-probability trading zones through advanced internal market structure (IDM) detection and points of interest (POI) calculation. ## How It Works The indicator uses a multi-step approach to analyze price action: 1. **Market Structure Identification**: The script identifies significant highs and lows within your selected time range to determine the overall market structure direction (up or down). 2. **IDM Pattern Detection**: It then analyzes internal market structure patterns within this range, focusing on significant price movements that create trading opportunities. 3. **POI Calculation**: Using adaptive ATR measurements across multiple timeframes, the indicator calculates precise POI zones where price is likely to react. These zones are calibrated based on the volatility profile of each identified structure. 4. **Timeframe Correlation**: The script automatically determines which timeframe best matches each structure's size, providing valuable context for your trading decisions. 5. **Technical Implementation**: The indicator uses a sophisticated algorithm to analyze price swings, identify pivot points, and calculate market structure connections. It maintains a database of significant highs/lows and uses these to determine trend direction and potential reversal zones. ## Display Modes PoiBox offers three powerful display options: - **Main BOS**: Shows only the most significant breakout structure with its associated POI zone - **Leg**: Displays the largest price leg within the selected range along with percentage-based POI zones - **All IDMs**: Reveals all detected internal market structures and their POI zones ## Advanced Features - **QM Mode**: Visualizes important market structure relationships with dashed lines connecting significant highs and lows - **Trick Display**: Identifies nested market structures (tricks) within larger patterns, perfect for precision entries - **Customizable POI Labels**: Control which price labels appear to maintain chart clarity - **Extensive Color Settings**: Fully customizable colors for all visual elements - **Safety Functions**: Includes built-in buffer management and error prevention algorithms to ensure stable performance across all timeframes and market conditions ## Trading Examples **Downtrend Example:** When PoiBox identifies a downtrend structure (Higher High → High → Low → Lower Low), it creates POI zones based on the market structure. As shown in the chart, these zones provide excellent entry opportunities when price returns to test previous structure. In this example, entering at the red POI zone with a stop above the zone and target at the QM level resulted in a 3.45 risk/reward trade. **How to Read QM Lines:** The dashed lines connecting High → Low → Higher High → Lower Low reveal the market's true structure. These connections help you anticipate where price might head next. When price breaks below a significant Low and creates a Lower Low, it confirms the downtrend continuation and provides a trading opportunity when price retests the broken structure. **POI Zone Interpretation:** - Red zones indicate bearish POI areas (ideal for short entries) - Green zones indicate bullish POI areas (ideal for long entries) - Yellow zones highlight the identified market structure ## Practical Application Example In the GBP/USD example shown in the chart: 1. PoiBox identified a downtrend structure with Higher High → High → Low → Lower Low 2. The yellow box shows the main market structure area 3. The red POI zone appeared when price returned to test previous structure 4. Entry was taken at the POI zone with stop loss above structure 5. Target was placed at the QM level, resulting in a 3.45 risk/reward ratio trade 6. The dashed QM lines showed the overall market flow and direction This demonstrates how PoiBox automatically identifies optimal entry and exit points based on market structure, without requiring manual analysis of each price swing. ## Mathematical Approach PoiBox uses several mathematical concepts to determine market structure and calculate POI zones: 1. **Adaptive ATR Integration**: The script analyzes ATR (Average True Range) across multiple timeframes (M1, M5, M15, H1, H4, D1, W1, MN1) to determine the appropriate volatility context for each structure. 2. **Height-to-ATR Ratio**: The indicator calculates the ratio between structure height and the closest matching ATR value to determine the structure's timeframe context. 3. **Dynamic POI Calculation**: POI values are calculated using the formula: `POI = factor * (atr_trigger + atr_double_trigger)` where `factor` is derived from the structure's height-to-ATR ratio. 4. **Self-Adjusting Limits**: If the calculated POI value exceeds certain thresholds relative to structure height, the script automatically applies proportional adjustments to maintain optimal zone sizing. ## What Makes PoiBox Unique While many indicators use common concepts like support/resistance or trend analysis, PoiBox stands apart through its: 1. **Adaptive POI Calculation**: Unlike static indicators, PoiBox automatically calibrates POI zones based on each market structure's volatility profile by analyzing ATR across multiple timeframes. 2. **Smart Timeframe Detection**: The indicator automatically determines the most relevant timeframe for each structure, eliminating guesswork and helping you align your trading with the appropriate market cycles. 3. **QM Visualization System**: Our proprietary QM visualization method reveals hidden market structure relationships that standard indicators cannot detect, giving you an edge in anticipating price movements. 4. **Nested Pattern Recognition**: The "Trick" detection feature identifies high-probability setups where smaller patterns form within larger ones, creating precise entry opportunities missed by conventional tools. 5. **Self-Adjusting Analysis**: PoiBox dynamically adapts to changing market conditions without requiring manual parameter adjustments, saving you time and increasing accuracy. These innovations combine to create a truly original trading system that transforms complex market structure concepts into clear, actionable signals. ## How To Use 1. Define your analysis area using the time range selectors (X1 and X2) 2. Choose your preferred display mode based on your trading style 3. Enable QM Mode for additional market structure context if needed 4. Use the POI zones as potential entry and exit areas for your trades 5. Reference the automatically detected timeframe indicators to align your trading with the appropriate timeframe ### Settings Explanation **Display Settings:** - Display Mode: Choose between Main BOS, Leg, or All IDMs visualization - QM Mode: Enable to see market structure connections with dashed lines **Trick Settings:** - Trick Display: Show the main trick or all nested patterns - Trick POI: Control which POI zones appear for trick patterns **Label Settings:** - Leg POI %: Customize percentage-based POI zones in Leg mode - POI Labels: Control which price labels appear on your chart **Time Range:** - X1 and X2: Define the analysis area for market structure detection **Colors:** - TF Color: Color for timeframe labels - H/L Color: Color for high/low labels - QM Lines: Color for market structure connection lines - Trick Color: Color for nested pattern visualization This indicator is designed for traders who understand market structure concepts and want a powerful tool that automatically identifies high-probability trading zones based on structural price patterns and volatility-adjusted measurements.
Pine Script® göstergesi
Atabaki tarafından
Marubozu + Clean Wick Edge (Toggleable w/ Presets)📊 Marubozu + Wickless Edge Highlighter (w/ Toggles & Alerts) This indicator identifies and visually highlights strong momentum candles using a combination of classic candlestick logic and precision wick analysis: 🔹 Features: ✅ Bullish Marubozu (green): Candles that open near their low and close near their high, indicating strong buying pressure ✅ Bearish Marubozu (red): Candles that open near their high and close near their low, signaling aggressive selling 🟪 Wickless Edge Candles (purple): Any candle with a flat top or bottom (no wick on at least one end), often representing clean institutional activity or high conviction 🛠️ Fully Customizable: Toggle each candle type on/off (Bullish, Bearish, Wickless) Adjust detection tolerances for wick length precision Color-coded bars for easy visual scanning 🔔 Built-In Alerts: Receive alerts the moment a Bullish or Bearish Marubozu prints 📈 Ideal For: Momentum traders Breakout or breakdown entries Spotting institutional-style candles with clean conviction
Pine Script® göstergesi
TheTradingGoddess tarafından
Market ForcastCore Concept: It analyzes a recent segment of price data (user-defined length). It searches backwards in historical data for similar sequences using one of several similarity methods (e.g., Pearson, Cosine, Euclidean, etc.). Once a match is found, it projects the future movement from that past pattern onto the present, visualizing how the price may move next. ⚙️ How It Works: 1. Data Preparation: Gathers historical price or percent change data into arrays. Defines the "recent" segment (length = Correlation Length) as the pattern to match. Searches backward over Bars Back To Search length to find a matching sequence. 2. Similarity Matching: Compares each past sequence to the current one using the selected similarity method: Cosine Similarity (default): Angle between vectors. Pearson / Spearman / Kendall: Statistical correlation. Euclidean: Distance between points. MSE (Mean Squared Error): Variance difference. 3. Forecasting: Once the most similar historical sequence is found, the price movement that followed it is used as a forecast. Forecast is drawn as: A dotted line (ponly) showing projected price direction. An optional ZigZag (zonly) drawn using projected highs and lows. Optionally, a linear regression channel around the projected line. 4. Visualization: Draws: Two boxes: One around the original pattern found in history, and one for the forecasted period. Optional ZigZag projections connecting the high/low points of the forecast. Optional Linear Regression Channel with standard deviation bounds. Forecast line via dotted segments. 📊 User Inputs Include: Correlation Length: Size of the recent pattern to match. Forecast Length: How far into the future to project. Similarity Method: Choice of similarity algorithm. Search Range: How many past bars to search through. Visual toggles for ZigZag, price line, and regression channel. 📈 Use Case: This script is intended for pattern forecasting or cycle recognition, useful in markets with repetitive behavior. It’s experimental and not for blind execution, but can offer visual guidance for anticipating movement based on historical patterns.
Pine Script® göstergesi
Rootkit98 tarafından
Custom Cloud Tops & BottomsThe Custom Cloud Tops & Bottoms Indicator is an Ichimoku-inspired tool designed to help traders identify market trends, reversals, and optimal trading opportunities. It plots a dynamic cloud using fast (9) and slow (26) Exponential Moving Averages (EMAs), marks market tops and bottoms with pivot-based signals, and generates buy/sell signals based on cloud breakouts confirmed by RSI momentum. This versatile indicator is suitable for swing trading, day trading, or trend following across various markets (e.g., stocks, forex, crypto) and timeframes. Features • Cloud: A forward-shifted cloud (default: 9 bars) that acts as dynamic support/resistance. Green indicates a bullish trend (fast EMA > slow EMA), and red indicates a bearish trend (fast EMA < slow EMA). • Tops and Bottoms: Pivot points mark potential market reversals, confirmed by cloud rejections. Tops are shown with red triangles and diamonds, bottoms with green triangles and diamonds. • Buy/Sell Signals: Generated when price breaks above (buy) or below (sell) the cloud, with RSI confirming momentum. Buy signals appear as green circles and squares, sell signals as red circles and squares. • Customizable Parameters: Adjust EMA lengths, cloud offset, pivot lookback, and RSI settings to suit your trading style. Setup Instructions 1. Add the Indicator to TradingView: • Open TradingView and navigate to the Pine Editor (bottom panel). • Copy and paste the indicator’s script into the editor. • Click Save and name the script (e.g., “Custom Cloud Indicator”). • Click Add to Chart to apply the indicator to your active chart. 2. Configure Settings: • Click the gear icon next to the indicator’s name in the chart’s legend to open the settings. • Adjust the following inputs as needed: • Fast EMA Length (default: 9): Controls the sensitivity of the fast EMA. Lower values make the cloud more responsive to price changes. • Slow EMA Length (default: 26): Controls the smoothness of the slow EMA. Higher values create a broader cloud. • Cloud Offset (default: 9): Number of bars to shift the cloud forward, similar to Ichimoku’s projection. Increase for longer-term projections. • Pivot Lookback (default: 5): Number of bars to look back for detecting tops and bottoms. Smaller values detect more frequent pivots; larger values detect major reversals. • RSI Length (default: 14): Period for RSI calculation. Adjust for more or less sensitivity to momentum. • RSI Overbought (default: 70): RSI level above which buy signals are filtered out to avoid overbought conditions. • RSI Oversold (default: 30): RSI level below which sell signals are filtered out to avoid oversold conditions. • Click OK to apply changes. 3. Choose a Timeframe: • The indicator works on any timeframe. Use: • Lower timeframes (e.g., 5m, 15m) for day trading or scalping (expect more signals but potential noise). • Higher timeframes (e.g., 1h, 4h, daily) for swing trading or trend following (fewer but more reliable signals). • Test the indicator on your preferred asset (e.g., BTC/USD, AAPL, EUR/USD) to ensure compatibility. 4. Set Alerts (Optional): • To receive notifications for tops, bottoms, or buy/sell signals: • Right-click on the chart and select Create Alert. • Choose the indicator from the dropdown and select conditions (e.g., “Buy Signal” or “Market Top”). • Configure the alert (e.g., email, SMS, or popup) and save. Interpreting Signals The indicator provides visual cues to guide your trading decisions. Here’s how to interpret each component: 1. Cloud: • Green Cloud: Indicates a bullish trend (fast EMA > slow EMA). Price above the cloud suggests strong bullish momentum; consider long positions. • Red Cloud: Indicates a bearish trend (fast EMA < slow EMA). Price below the cloud suggests strong bearish momentum; consider short positions or exiting longs. • Cloud as Support/Resistance: The cloud’s edges act as dynamic levels. Price approaching the cloud may bounce (support/resistance) or break through (trend change). 2. Tops and Bottoms: • Red Triangles/Diamonds (Tops): Mark potential market peaks where price is above the cloud, indicating a pivot high. Use these as signals to: • Sell or take profits on long positions. • Enter short positions if bearish confirmation (e.g., price breaks below cloud). • Green Triangles/Diamonds (Bottoms): Mark potential market lows where price is below the cloud, indicating a pivot low. Use these as signals to: • Buy or enter long positions if bullish confirmation (e.g., price breaks above cloud). • Close short positions. • Confirmation: Tops and bottoms are more reliable when confirmed by other indicators (e.g., volume spikes, support/resistance levels). 3. Buy/Sell Signals: • Green Circles/Squares (Buy Signals): Triggered when price crosses above the cloud, RSI is not overbought (<70), and RSI crosses above 50 (bullish momentum). Actions: • Enter long positions. • Place stop-loss below the cloud or recent low. • Red Circles/Squares (Sell Signals): Triggered when price crosses below the cloud, RSI is not oversold (>30), and RSI crosses below 50 (bearish momentum). Actions: • Enter short positions or exit longs. • Place stop-loss above the cloud or recent high. • Context: Signals are stronger when aligned with the cloud’s trend (e.g., buy signals in a green cloud, sell signals in a red cloud). Trading Tips To maximize the indicator’s effectiveness, follow these best practices: 1. Confirm Signals with Other Tools: • Use additional indicators like MACD, Bollinger Bands, or volume to validate tops, bottoms, and signals. • Check key support/resistance levels or Fibonacci retracements to confirm entry/exit points. 2. Align with Trend: • In a green cloud (bullish), prioritize buy signals and be cautious with sell signals. • In a red cloud (bearish), prioritize sell signals and be cautious with buy signals. 3. Manage Risk: • Always use a stop-loss to protect against false signals (e.g., below the cloud for longs, above the cloud for shorts). • Apply proper position sizing based on your risk tolerance (e.g., risk 1-2% of account per trade). 4. Avoid Choppy Markets: • In sideways markets, the cloud may produce frequent false signals. Look for low volatility (e.g., narrow cloud) and avoid trading until a clear trend emerges. • Use higher timeframes (e.g., 4h, daily) to filter out noise. 5. Backtest First: • Test the indicator on your chosen asset and timeframe using TradingView’s Strategy Tester or manual backtesting. • Evaluate win rate, risk/reward ratio, and signal frequency to ensure it fits your strategy. 6. Timeframe Selection: • Day Trading: Use 5m, 15m, or 1h charts for frequent signals, but confirm with higher timeframes (e.g., 4h) for trend direction. • Swing Trading: Use 4h, daily, or weekly charts for reliable signals and longer-term trades. Customization The indicator is highly customizable to adapt to different markets, timeframes, or trading styles: 1. Adjust Input Parameters: • EMA Lengths: Shorten (e.g., 5/13) for faster markets (crypto), lengthen (e.g., 12/36) for slower markets (stocks). • Cloud Offset: Increase (e.g., 12) for longer-term projections, decrease (e.g., 5) for shorter-term analysis. • Pivot Lookback: Decrease (e.g., 3) for more frequent tops/bottoms, increase (e.g., 7) for major reversals. • RSI Settings: Tighten overbought/oversold levels (e.g., 80/20) for conservative signals, loosen (e.g., 65/35) for more signals. 2. Modify Visuals: • Edit the script to change colors (e.g., replace color.green with color.blue for buy signals). • Adjust shape sizes (e.g., change size.tiny to size.small) or styles (e.g., shape.circle to shape.cross) in plotshape calls. 3. Add Alerts: • Customize alerts for specific signals (e.g., “Buy Signal” or “Market Top”) to automate notifications. 4. Extend Functionality: • Contact the script’s author or a Pine Script developer to add features like: • Text labels for signals (if compatible with your TradingView version). • Additional momentum indicators (e.g., MACD, Stochastic). • Automated trading strategies based on signals. Limitations While powerful, the indicator has some limitations to be aware of: 1. Lagging Signals: • EMAs and RSI are lagging indicators, so signals may appear after price has already moved. Use in trending markets for best results. 2. False Signals in Choppy Markets: • Sideways or low-volatility markets can produce frequent false signals. Confirm with other tools or wait for a breakout. 3. Timeframe Sensitivity: • Lower timeframes (e.g., 1m, 5m) generate more signals but are noisier. Higher timeframes (e.g., 4h, daily) are more reliable but slower. 4. Market Dependency: • Performance varies by asset. Backtest on your specific market (e.g., forex, stocks, crypto) to optimize settings. 5. No Guarantee of Profits: • The indicator is a tool, not a crystal ball. Combine it with a solid trading plan, risk management, and market analysis. Example Trading Scenario Asset: BTC/USD on a 4h chart Setup: • Fast EMA: 9, Slow EMA: 26, Cloud Offset: 9, Pivot Lookback: 5, RSI: 14 (70/30). • Price is below a red cloud, indicating a bearish trend. Steps: 1. Spot a Bottom: A green triangle and diamond appear below a candle, indicating a pivot low below the cloud (potential reversal). 2. Wait for Confirmation: Price moves toward the cloud. RSI rises but stays below 70 (not overbought). 3. Enter on Buy Signal: A green circle and square appear when price crosses above the cloud, and RSI crosses above 50. Enter a long position at the close of the signal candle. 4. Set Risk Management: • Stop-Loss: Place below the recent low or cloud bottom (e.g., 5% below entry). • Take-Profit: Target the next resistance level or a 2:1 risk/reward ratio. 5. Monitor: If a red triangle/diamond (top) appears, consider taking partial profits. Exit if a sell signal (red circle/square) occurs. Outcome: The trade captures a bullish move as price stays above the green cloud, confirmed by RSI momentum. Getting Started 1. Apply the Indicator: Follow the setup instructions to add it to your chart. 2. Test on a Demo Account: Use TradingView’s paper trading or a broker’s demo account to practice with the indicator. 3. Join the Community: Share your experience or ask questions in TradingView’s comments section (if published) or relevant trading forums. 4. Provide Feedback: If you have suggestions (e.g., adding alerts, modifying visuals), contact the script’s author for updates. Why Use This Indicator? The Custom Cloud Tops & Bottoms Indicator simplifies complex market analysis with a clear, Ichimoku-inspired cloud, precise reversal signals, and momentum-driven entries. Whether you’re a beginner or an experienced trader, it provides actionable insights to catch trends and reversals with confidence. Happy Trading! For support, customization, or questions, leave a comment (if published on TradingView) or contact the script’s author. Enjoy using the indicator, and trade wisely!
Pine Script® göstergesi
dkbeast tarafından
BLCKBOX Moving Average RibbonThe BLCKBOX Moving Average Ribbon is a simple moving average ribbon overlayed on the chart with the following timeframes; 7, 21, 42, 90, 180, 365 I hope you find this indicator useful. I have released several indicators that can be used in conjunction to hopefully improve your chances of making a ton of money! BLCKBOX indicators include; BLCKBOX Buying / Selling Sentiment BLCKBOX MACD Indicator BLCKBOX Relative Strength Index BLCKBOX Crypto Bear Market Prediction BLCKBOX Stochtastic BLCKBOX EMA Cross Study BLCKBOX Moving Average Ribbon If you find this or any other indicator useful and wish to show your gratitude, you may! Doge DJwW7XazGk2R8nXjt8y5ydQfGKYSz3XV3h Litecoin ltc1qh8t4dmz8sugjcd5unn0g49985u0tz5gs6kf98y Bitcoin bc1q0deh9t9w9tm3qgd3npn7965rzel35qumez7m5v Ethereum 0xa23a7bbde03ea31f5cce4b115c8ef1ea8bc9f467 Pepe Pr7DZSXKwVGv7LYhRQ9oSuuWxUecc3Dvwq
Pine Script® göstergesi
AdamDShort tarafından
Key MA 1 day 1 week lookbacks on lower TF MA + Alerts📊 Example Conversions: This indicator takes the daily moving averages (1-day lookback) — such as the 20-day or 50-day simple/ema — and plots them onto lower timeframes like the 5-minute or 15-minute chart. This is a powerful way to: Overlay higher timeframe structure (like trend direction or support/resistance) While analyzing lower timeframe setups or entries Helping you stay aligned with the macro trend while trading intraday Higher TF MA If you plot the 1MA on the Daily chart, the equivalet to that on a lower time frame is the following: Daily Chart MA converted to a 15min Chart MA 1,5,20,50 = 15min Chart MA 26,130,520,1300 Daily/ 1 day MA = 15min/26 MA 5-day MA = 15min / 130MA 20-day MA = 15min/520MA 50-day MA = 15min/1300MA Daily Chart MA = 5min Chart MA 1,5,20MA = 78,390,1560MA On a 5-minute chart: Higher TF MA 5-Min Equivalent 1-day MA = 5min/78MA 5-day MA = 5min/390MA 20-day MA = 5min/1560MA On a 1 Hour Chart 1 day MA = 1 Hr 5 day MA = 1 Hr 20 day MA = 1 Hr 1-Hour Equivalent (use 65 minutes) Daily Chart 1,5,20MA = 1 Hr Chart (65min chart) 7MA,33MA,130 MA 1-day MA 7 (6.5 rounded) 1-week MA 33 20-day MA 130 1-month MA (21 days) 138
Pine Script® göstergesi
TheTradingGoddess tarafından
Composite RSI Dynamic Fibonacci LevelsHello TradingView Community! I'm excited to introduce "RSI Composite Pro V2", a comprehensive technical analysis tool that combines the power of the classic RSI with the Composite RSI, which allows comparison with a different asset. This indicator includes many features to help you evaluate the market from different angles: Key Features: Classic RSI: Measures the momentum of the asset itself. Composite RSI: Calculates the performance of the asset on your chart relative to another asset you specify (e.g., an index). Helps you understand relative strength or weakness. Regular and Hidden Divergences: Automatically detects and plots both bullish and bearish divergences on both Classic RSI and Composite RSI. Crucial for identifying potential trend reversals or continuations. 📉📈 Composite RSI Fibonacci Levels: Automatically draws Fibonacci levels based on the high and low points of the Composite RSI over a specified lookback period. Visualizes potential support and resistance areas. ✨ Multiple Moving Averages (MA): You can add different MA types (SMA, EMA, SMMA, WMA, VWMA) to both Classic RSI and Composite RSI. Bollinger Bands (BB): You can show Bollinger Bands along with the SMA to analyze volatility and potential overbought/oversold regions. Flexible Composite Symbol Selection: You can choose between Automatic (detects BIST/NASDAQ/NYSE based on the chart), Manual, or predefined indices (XU100, NDX, SPX). 🌐 Adjustable Parameters: You can adjust many parameters like RSI length, Fibo lookback period, MA/BB settings, divergence lookback values, etc., to suit your strategy. ⚙️ Visual Enhancements: Colored fills for RSI levels and clear drawings and labels for divergences. 🎨 Alert Conditions: Set alerts for detected divergences so you don't miss opportunities. 🔔 How It Works: Classic RSI measures the asset's own momentum, while Composite RSI shows the asset's performance relative to another asset you choose. Divergences provide potential reversal signals by finding discrepancies between price action and the RSI/Composite RSI. Fibo levels identify potential support/resistance areas for the Composite RSI. Important Notes: ⚠️ Divergences and Repaint Risk: Divergence detection evaluates past peaks/troughs relative to future data, which can lead to repaint (signal change) risk. Signals are fixed historically; you can reduce the repaint effect by decreasing the lookback values. This indicator is solely an analysis tool and does not constitute financial advice. You are responsible for your own buy/sell decisions. Conclusion: I hope this indicator adds value to your analysis and gives you an edge in the market. If you have any questions, feedback, or suggestions, please feel free to leave them in the comments. Wishing you success! 🙏
Pine Script® göstergesi
yurt42625 tarafından
OTC COT / smart money Index 2.0 COT/ Smart money Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology) 📈 Description: This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength. 👉 Core Functionality: Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market. Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis. Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility. Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions). The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals. 📊 Applied Example – Gold Trade Using COT Net Position Analysis To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup. Step 1️⃣ – Identifying Technical Structure: The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying. Step 2️⃣ – COT Index Confirmation: Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation. Step 3️⃣ – COT Net Positions Validation: Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction. Step 4️⃣ – Divergence Check: For added confirmation, divergence between commercials and retail traders was assessed: ✅ Commercials: Strongly net-long. ❌ Retail traders: Heavily net-short. This clear divergence between smart money and retail sentiment further validated the setup. Step 5️⃣ – Trade Execution: With everything aligned: Demand zone identified, 312-week COT Index extreme, 15-year high in net positions, Divergence between commercials and retail, …the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup. ⚙️ What Sets This Tool Apart: Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time. Enhances decision-making by cross-validating positioning extremes with technical levels. Flexible design allows use across multiple asset classes and timeframes. 📌 Best Practices: Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength. Use in conjunction with demand/supply zones or key technical levels for the strongest setups. Look for divergence signals (institutions vs. retail) to confirm potential reversals. Indicators Used in the Example: This trade combined: 🧠 COT Net Position Indicator – to measure institutional exposure. 📊 COT Index – to identify positioning extremes. 📅 Seasonality Forecasting Tool – for time-based confirmation. Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
Pine Script® göstergesi
Nikhichuanhal655 tarafından
OTC - COT Net positions 2.0 COT Net Position Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology) 📈 Description: This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength. 👉 Core Functionality: Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market. Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis. Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility. Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions). The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals. 📊 Applied Example – Gold Trade Using COT Net Position Analysis To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup. Step 1️⃣ – Identifying Technical Structure: The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying. Step 2️⃣ – COT Index Confirmation: Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation. Step 3️⃣ – COT Net Positions Validation: Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction. Step 4️⃣ – Divergence Check: For added confirmation, divergence between commercials and retail traders was assessed: ✅ Commercials: Strongly net-long. ❌ Retail traders: Heavily net-short. This clear divergence between smart money and retail sentiment further validated the setup. Step 5️⃣ – Trade Execution: With everything aligned: Demand zone identified, 312-week COT Index extreme, 15-year high in net positions, Divergence between commercials and retail, …the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup. ⚙️ What Sets This Tool Apart: Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time. Enhances decision-making by cross-validating positioning extremes with technical levels. Flexible design allows use across multiple asset classes and timeframes. 📌 Best Practices: Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength. Use in conjunction with demand/supply zones or key technical levels for the strongest setups. Look for divergence signals (institutions vs. retail) to confirm potential reversals. Indicators Used in the Example: This trade combined: 🧠 COT Net Position Indicator – to measure institutional exposure. 📊 COT Index – to identify positioning extremes. 📅 Seasonality Forecasting Tool – for time-based confirmation. Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
Pine Script® göstergesi
Nikhichuanhal655 tarafından
SMT Divergences By RootkitHow It Works: Heikin Ashi Smoothing Instead of using raw OHLC price data, the script applies Heikin Ashi smoothing to reduce noise and better identify pivot highs and lows. Pivot Detection It looks for local swing highs and lows using a user-defined lookback period (Pivot Lookback). These are used to detect potential divergences. SMT Divergence Logic An SMT divergence is identified when: A pivot low occurs on the main chart. But one or more of the comparison symbols makes a higher low instead (or lower high for bearish SMT). This signals a disagreement between instruments, often attributed to smart money accumulation or distribution. Trend Filter To reduce false signals, the script only allows: Buy signals during an uptrend Sell signals during a downtrend The trend is determined by comparing Heikin Ashi highs/lows to previous bars. Signal Markers BUY labels appear below bars at valid bullish SMT divergences. SELL labels appear above bars at valid bearish SMT divergences. Optional trend lines visually connect the last significant pivot to the current one. ⚙️ Inputs: Pivot Lookback – Number of bars for swing high/low detection. Symbol A/B/C – Up to 3 comparison symbols (futures, indices, etc.). Toggle Each Symbol – Enable or disable any comparison ticker. Custom Colors – Choose your own line colors for buy/sell signals. 🧠 Why It Matters: SMT divergence is used by professional traders to spot early signs of accumulation/distribution, often before price reverses. This script helps you detect these signals automatically while keeping them filtered by overall market trend.
Pine Script® göstergesi
Rootkit98 tarafından