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NuEdge Swing Triggers + Auto TargetsA smart swing trading tool for timing high-probability entries and exits. Combines volume, trend, RSI, and ATR logic with automatic signal expiration and dual-target plotting. Includes full earnings proximity filtering and active status shading. T1 = recent structure T2 = ATR-projected move Signals deactivate after 5 bars or T2 hit 🔹 Designed for daily timeframe swing traders 🔹 Inspired by real-world breakout logic 🔹 Ideal for anchored VWAP validation
Pine Script® göstergesi
NuEdgeTrading tarafından
Order Block Detector MacedoEnglish This indicator automatically detects Order Blocks — zones where institutional players have previously acted. These areas behave as liquidity magnets, and price often revisits them before continuing its directional move. After an OB is formed, the price tends to retrace between 90% and 50% of the previous leg before continuation. The most accurate entries occur when price returns to the origin, not when it breaks through. When applied to assets with real volume data, analyze volume behavior as price approaches the OB: For a bullish OB: if price approaches from above with strong selling volume, it’s often a bullish sign. For a bearish OB: if price approaches from below with strong buying volume, it's usually a bearish signal. A weak approach (low volume) in either case also suggests likely reversal. Note: The cleaner and more untested the OB, the more likely price is to return and “clear” that liquidity zone.
Pine Script® göstergesi
faithfxtrader tarafından
Money Flow based probabilityMoney Flow based probability This indicator provides a comprehensive correlation and momentum analysis between your main asset and up to three selected correlated assets. It combines correlation, trend, momentum, and overbought/oversold signals into a single, easy-to-read table directly on your chart. Correlated Asset Selection : You can select up to three correlated assets (e.g., indices, currencies, bonds) to compare with your main chart symbol. Each asset can be toggled on or off. Correlation Calculation : The indicator uses the native Pine Script ta.correlation function to measure the statistical relationship between the closing prices of your asset and each selected pair over a user-defined period. Technical Analysis Integration : For each asset (including the main one), the indicator calculates: Trend direction using EMA (Exponential Moving Average) – optional Momentum using MACD – optional Overbought/oversold status using RSI – optional Probability Scoring : A weighted scoring system combines correlation, trend, MACD, RSI, and trend exhaustion signals to produce buy and sell probabilities for the main asset. Visual Table Output : A customizable table is displayed on the chart, showing: Asset name Correlation (as a percentage, -100% to +100%) Trend (Bullish/Bearish) MACD status (Bullish/Bearish) RSI value and status Buy/Sell probability (with fixed-width formatting for stability) User Customization : You can adjust: Table size, color, and position Correlation period EMA, MACD, and RSI parameters Which assets to display This indicator is ideal for traders who want to quickly assess the influence of major correlated markets and technical signals on their trading instrument, all in a single glance. --- Example: Correlation Calculation corrCurrentAsset1 = ta.correlation(close, asset1Data, correlationPeriod) Example: Table Output (Buy/Sell %) buyStr = f_formatPercent(buyProbability) + "%" sellStr = f_formatPercent(sellProbability) + "%" cellStr = buyStr + " / " + sellStr
Pine Script® göstergesi
Raffaele_De_Leo tarafından
RSI + RSI MA + Choppiness IndexThe indicator is an extension of the Chopiness & RSI Index but takes it one step further by adding the RSI based MA . Strong uptrend occurs when the RSI is at least 15% above the RSI based MA and the choppiness index value is below the RSI based MA. Strong downtrend occurs when the Choppiness index line is at least 15% above the RSI based MA and the RSI is below the RSI based MA. When both the RSI and Chopiness index are above the RSI based MA, this can mean either an uptrend or approaching downtrend. When both the RSI and Chopiness index are below the RSI based MA, this can mean either an downtrend or approaching uptrend. *Use at own risk.
Pine Script® göstergesi
adriang6996 tarafından
RSI + RSI MA + Choppiness IndexThe indicator is an extension of the Chopiness & RSI Index but takes it one step further by adding the RSI based MA . Strong uptrend occurs when the RSI is at least 15% above the RSI based MA and the choppiness index value is below the RSI based MA. Strong downtrend occurs when the Choppiness index line is at least 15% above the RSI based MA and the RSI is below the RSI based MA. When both the RSI and Chopiness index are above the RSI based MA, this can mean either an uptrend or approaching downtrend. When both the RSI and Chopiness index are below the RSI based MA, this can mean either an downtrend or approaching uptrend. *Use at own risk.
Pine Script® göstergesi
adriang6996 tarafından
₿ober XM v1.3# ₿ober XM v1.3 Trading Bot Documentation ## Overview The ₿ober XM v1.3 is an advanced dual-channel trading bot. It integrates multiple technical indicators, customizable risk management, and advanced order execution via webhook for automated trading. The bot's distinctive feature is its separate channel systems for long and short positions, allowing for asymmetric trade strategies that adapt to different market conditions. ### Key Features - **Dual-Channel System**: Independent indicator settings for long and short positions - **Multiple Entry Strategies**: Breakout, Pullback, and Mean Reversion options - **Machine Learning Integration**: Predictive MLMA (Machine Learning Moving Average) for enhanced trend detection - **Comprehensive Filtering**: Combines momentum, volatility, volume, and trend filters - **Advanced Risk Management**: Dynamic position sizing, multiple stop-loss types, and trailing stops - **Webhook Integration**: Direct connectivity to exchanges or third-party platforms - **Configurable OBV MA Types**: Choose from multiple moving average types for OBV calculations ### General Settings | Setting | Description | Default Value | |---------|-------------|---------------| | **Long Positions** | Enable or disable long trades | Enabled | | **Short Positions** | Enable or disable short trades | Enabled | | **Risk/Reward Area** | Visual display of stop-loss and take-profit zones | Enabled | | **Long Entry Source** | Price data used for long entry signals | hl2 (High+Low/2) | | **Short Entry Source** | Price data used for short entry signals | hl2 (High+Low/2) | The bot allows you to trade long positions, short positions, or both simultaneously. Each direction has its own set of parameters, allowing for fine-tuned strategies that recognize the asymmetric nature of market movements. ### Webhook Configuration | Setting | Description | Default Value | |---------|-------------|---------------| | **Long Entry Comment** | Webhook message for long entries | "ENTER-LONG" | | **Short Entry Comment** | Webhook message for short entries | "ENTER-SHORT" | | **Exit Comment** | Webhook message for position exits | "EXIT-ALL" | | **Leverage** | Position size multiplier | 1.0 | | **Reduce Only** | Restrict orders to reducing positions | Enabled | | **Exchange Conditional Orders** | Place SL/TP directly on exchange | Disabled | The webhook system allows for seamless integration with exchanges or third-party platforms: - **Benefits**: - Automated trade execution without manual intervention - Immediate response to market conditions - Consistent execution of your strategy - **Implementation Notes**: - Requires proper webhook configuration on your exchange or platform - Test thoroughly with small position sizes before full deployment - Consider latency between signal generation and execution ### Backtesting Period Define a specific historical period to evaluate the bot's performance: | Setting | Description | Default Value | |---------|-------------|---------------| | **Start Date** | Beginning of backtest period | January 1, 2025 | | **End Date** | End of backtest period | December 31, 2026 | - **Best Practice**: Test across different market conditions (bull markets, bear markets, sideways markets) - **Limitation**: Past performance doesn't guarantee future results ## Entry and Exit Strategies ### Dual-Channel System A key innovation of the Bober XM is its dual-channel approach: - **Independent Parameters**: Each trade direction has its own channel settings - **Asymmetric Trading**: Recognizes that markets often behave differently in uptrends versus downtrends - **Optimized Performance**: Fine-tune settings for both bullish and bearish conditions This approach allows the bot to adapt to the natural asymmetry of markets, where uptrends often develop gradually while downtrends can be sharp and sudden. ### Channel Types #### 1. Keltner Channels Traditional volatility-based channels using EMA and ATR: | Setting | Long Default | Short Default | |---------|--------------|---------------| | **EMA Length** | 37 | 20 | | **ATR Length** | 13 | 17 | | **Multiplier** | 1.4 | 1.9 | | **Source** | low | high | - **Strengths**: - Reliable in trending markets - Less prone to whipsaws than Bollinger Bands - Clear visual representation of volatility - **Weaknesses**: - Can lag during rapid market changes - Less effective in choppy, non-trending markets #### 2. Machine Learning Moving Average (MLMA) Advanced predictive model using kernel regression (RBF kernel): | Setting | Long Default | Short Default | |---------|--------------|---------------| | **Window Size** | 16 | 16 | | **Forecast Length** | 3 | 3 | | **Noise Parameter** | 0.43 | 0.44 | | **Band Multiplier** | 0.6 | 0.5 | | **Source** | low | high | - **Strengths**: - Predictive rather than reactive - Adapts quickly to changing market conditions - Better at identifying trend reversals early - **Weaknesses**: - More computationally intensive - Requires careful parameter tuning - Can be sensitive to input data quality ### Entry Strategies | Strategy | Description | Ideal Market Conditions | |----------|-------------|-------------------------| | **Breakout** | Enters when price breaks through channel bands, indicating strong momentum | High volatility, emerging trends | | **Pullback** | Enters when price retraces to the middle band after testing extremes | Established trends with regular pullbacks | | **Mean Reversion** | Enters at channel extremes, betting on a return to the mean | Range-bound or oscillating markets | #### Breakout Strategy (Default) - **Implementation**: Enters long when price crosses above the upper band, short when price crosses below the lower band - **Strengths**: Captures strong momentum moves, performs well in trending markets - **Weaknesses**: Can lead to late entries, higher risk of false breakouts - **Optimization Tips**: - Increase channel multiplier for fewer but more reliable signals - Combine with volume confirmation for better accuracy #### Pullback Strategy - **Implementation**: Enters long when price pulls back to middle band during uptrend, short during downtrend pullbacks - **Strengths**: Better entry prices, lower risk, higher probability setups - **Weaknesses**: Misses some strong moves, requires clear trend identification - **Optimization Tips**: - Use with trend filters to confirm overall direction - Adjust middle band calculation for market volatility #### Mean Reversion Strategy - **Implementation**: Enters long at lower band, short at upper band, expecting price to revert to the mean - **Strengths**: Excellent entry prices, works well in ranging markets - **Weaknesses**: Dangerous in strong trends, can lead to fighting the trend - **Optimization Tips**: - Implement strong trend filters to avoid counter-trend trades - Use smaller position sizes due to higher risk nature ### Confirmation Indicators #### Pivot Point SuperTrend Combines pivot points with ATR-based SuperTrend for trend confirmation: | Setting | Default Value | |---------|---------------| | **Pivot Period** | 25 | | **ATR Factor** | 2.2 | | **ATR Period** | 41 | - **Function**: Identifies significant market turning points and confirms trend direction - **Implementation**: Requires price to respect the SuperTrend line for trade confirmation #### Weighted Moving Average (WMA) Provides additional confirmation layer for entries: | Setting | Default Value | |---------|---------------| | **Period** | 15 | | **Source** | ohlc4 (average of Open, High, Low, Close) | - **Function**: Confirms trend direction and filters out low-quality signals - **Implementation**: Price must be above WMA for longs, below for shorts ### Exit Strategies #### On-Balance Volume (OBV) Based Exits Uses volume flow to identify potential reversals: | Setting | Default Value | |---------|---------------| | **Source** | ohlc4 | | **MA Type** | HMA (Options: SMA, EMA, WMA, RMA, VWMA, HMA) | | **Period** | 22 | - **Function**: Identifies divergences between price and volume to exit before reversals - **Implementation**: Exits when OBV crosses its moving average in the opposite direction - **Customizable MA Type**: Different MA types provide varying sensitivity to OBV changes: - **SMA**: Traditional simple average, equal weight to all periods - **EMA**: More weight to recent data, responds faster to price changes - **WMA**: Weighted by recency, smoother than EMA - **RMA**: Similar to EMA but smoother, reduces noise - **VWMA**: Factors in volume, helpful for OBV confirmation - **HMA**: Reduces lag while maintaining smoothness (default) #### ADX Exit Confirmation Uses Average Directional Index to confirm trend exhaustion: | Setting | Default Value | |---------|---------------| | **ADX Threshold** | 35 | | **ADX Smoothing** | 60 | | **DI Length** | 60 | - **Function**: Confirms trend weakness before exiting positions - **Implementation**: Requires ADX to drop below threshold or DI lines to cross ## Risk Management System ### Position Sizing Automatically calculates position size based on account equity and risk parameters: | Setting | Default Value | |---------|---------------| | **Risk % of Equity** | 50% | - **Implementation**: - Position size = (Account equity × Risk %) ÷ (Entry price × Stop loss distance) - Adjusts automatically based on volatility and stop placement - **Best Practices**: - Start with lower risk percentages (1-2%) until strategy is proven - Consider reducing risk during high volatility periods ### Stop-Loss Methods Multiple stop-loss calculation methods with separate configurations for long and short positions: | Method | Description | Configuration | |--------|-------------|---------------| | **ATR-Based** | Dynamic stops based on volatility | ATR Period: 14, Multiplier: 2.0 | | **Percentage** | Fixed percentage from entry | Long: 1.5%, Short: 1.5% | | **PIP-Based** | Fixed currency unit distance | 10.0 pips | - **Implementation Notes**: - ATR-based stops adapt to changing market volatility - Percentage stops maintain consistent risk exposure - PIP-based stops provide precise control in stable markets ### Trailing Stops Locks in profits by adjusting stop-loss levels as price moves favorably: | Setting | Default Value | |---------|---------------| | **Stop-Loss %** | 1.5% | | **Activation Threshold** | 2.1% | | **Trailing Distance** | 1.4% | - **Implementation**: - Initial stop remains fixed until profit reaches activation threshold - Once activated, stop follows price at specified distance - Locks in profit while allowing room for normal price fluctuations ### Risk-Reward Parameters Defines the relationship between risk and potential reward: | Setting | Default Value | |---------|---------------| | **Risk-Reward Ratio** | 1.4 | | **Take Profit %** | 2.4% | | **Stop-Loss %** | 1.5% | - **Implementation**: - Take profit distance = Stop loss distance × Risk-reward ratio - Higher ratios require fewer winning trades for profitability - Lower ratios increase win rate but reduce average profit ## Advanced Filtering System ### Momentum & Trend Filters #### ADX Based Momentum Filter | Setting | Default Value | |---------|---------------| | **Use Filter** | Enabled | | **Apply D+/D- Check** | Enabled | | **ADX Smoothing** | 34 | | **DI Length** | 28 | | **ADX Threshold** | 19 | - **Function**: Ensures trades are taken only in strong trending conditions - **Implementation**: Requires ADX above threshold for trade entry #### RSI Filter Uses Relative Strength Index to avoid overbought/oversold conditions: | Setting | Default Value | Status | |---------|---------------|--------| | **RSI Period** | 14 | Disabled | | **Overbought Level** | 70 | | | **Oversold Level** | 30 | | - **Function**: Prevents entries in potentially exhausted market conditions - **Implementation**: Blocks long entries when RSI > 70, short entries when RSI < 30 ### Volatility Filter Controls trading during excessive market volatility: | Setting | Default Value | |---------|---------------| | **Measure** | ATR | | **Period** | 8 | | **Threshold** | 1.3 | | **Source** | ohlc4 | - **Function**: Prevents trading during unpredictable market conditions - **Implementation**: Blocks trades when current volatility exceeds threshold × average volatility ### Volume Filter Ensures adequate market liquidity for trades: | Setting | Default Value | |---------|---------------| | **Threshold** | 1.1× average | | **Average Period** | 4 | | **Smoothing Period** | 18 | - **Function**: Prevents trading during low liquidity conditions - **Implementation**: Requires current volume to exceed threshold × average volume ### Filter Combinations The bot allows for simultaneous application of multiple filters: - **Recommended Combinations**: - Trending markets: ADX + Volume filters - Ranging markets: Volatility + RSI filters - All markets: Volume filter as minimum requirement - **Performance Impact**: - Each additional filter reduces the number of trades - Quality of remaining trades typically improves - Optimal combination depends on market conditions and timeframe ## Visual Indicators and Chart Analysis The bot provides comprehensive visual feedback on the chart: - **Channel Bands**: Keltner or MLMA bands showing potential support/resistance - **Pivot SuperTrend**: Colored line showing trend direction and potential reversal points - **Entry/Exit Markers**: Annotations showing actual trade entries and exits - **Risk/Reward Zones**: Visual representation of stop-loss and take-profit levels These visual elements allow for: - Real-time strategy assessment - Post-trade analysis and optimization - Educational understanding of the strategy logic ## Implementation Guide ### TradingView Setup 1. Load the script in TradingView Pine Editor 2. Apply to your preferred chart and timeframe 3. Adjust parameters based on your trading preferences 4. Enable alerts for webhook integration ### Webhook Integration 1. Configure webhook URL in TradingView alerts 2. Set up receiving endpoint on your trading platform 3. Define message format matching the bot's output 4. Test with small position sizes before full deployment ### Optimization Process 1. Backtest across different market conditions 2. Identify parameter sensitivity through multiple tests 3. Focus on risk management parameters first 4. Fine-tune entry/exit conditions based on performance metrics 5. Validate with out-of-sample testing ## Performance Considerations ### Strengths - Adaptability to different market conditions through dual channels - Multiple layers of confirmation reducing false signals - Comprehensive risk management protecting capital - Machine learning integration for predictive edge ### Limitations - Complex parameter set requiring careful optimization - Potential over-optimization risk with so many variables - Computational intensity of MLMA calculations - Dependency on proper webhook configuration for execution ### Best Practices - Start with conservative risk settings (1-2% of equity) - Test thoroughly in demo environment before live trading - Monitor performance regularly and adjust parameters - Consider market regime changes when evaluating results ## Conclusion The ₿ober XM v1.3 represents a sophisticated trading system combining traditional technical analysis with machine learning elements. Its dual-channel approach and comprehensive filtering system make it adaptable to various market conditions, while its risk management features help protect capital during adverse movements. The addition of selectable OBV MA types in v1.3 provides further customization, allowing traders to fine-tune the exit strategy sensitivity according to market conditions and personal preferences. This enhancement offers more control over exit signals, potentially improving trade outcome profitability. The bot is designed for traders who understand that no system is perfect, but that edge can be found through careful optimization and disciplined execution. With proper setup and realistic expectations, it provides a framework for systematic cryptocurrency trading across various market conditions. 2025 - Licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Pine Script® stratejisi
buble_lab tarafından
7
Intraday Trading IndicatorIndicator Overview Moving Averages: Uses a fast EMA (9-period) and a slow EMA (21-period) to determine the trend direction. Market Profile Approximation: Utilizes VWAP (Volume Weighted Average Price) as a simplified proxy for value area, acting as a dynamic support/resistance level. SMC: Incorporates the concept of trend confirmation and price interaction with key levels, focusing on pullbacks to the fast EMA within a trending market. Signals: Generates buy and sell signals when price crosses the fast EMA, filtered by the trend (fast EMA vs. slow EMA) and VWAP position, aiming for high-probability setups. This design ensures responsiveness on short timeframes while filtering out noise, aligning with the goal of accurate signals for intraday trading.
Pine Script® göstergesi
parykg tarafından
NQ1! Scalping Indicator v6NQ1! Scalping Indicator v6 — Fast & Reliable Entry Signals This custom scalping indicator is built for intraday traders who scalp the Nasdaq-100 E-mini Futures (NQ1!), especially on 1-minute and 5-minute charts. It combines three powerful components to deliver high-probability entry signals: ✅ Key Features: Trend Detection: Uses a fast/slow EMA crossover to identify trend direction. Momentum Confirmation: A short-period RSI ensures signals align with momentum, filtering out weak entries. Volatility Filter: ATR-based logic confirms the market is volatile enough to justify a scalp trade—reducing noise during sideways chop. 🟢 Buy Signal: Fast EMA crosses above Slow EMA RSI is rising (between 50–70) ATR is above the threshold 🔴 Sell Signal: Fast EMA crosses below Slow EMA RSI is falling (between 50–30) ATR is above the threshold 📍 Visuals: Green ⬆ arrows for buy entries Red ⬇ arrows for sell entries Background shading highlights valid trade zones 🔔 Alerts: Built-in alert conditions for Buy and Sell signals—perfect for real-time notifications. Optimized for fast-paced scalping with discipline and clarity. Pair it with proper risk management and you'll have a reliable assistant in volatile markets like NQ1!.
Pine Script® göstergesi
profitgang tarafından
FRP Options Risk CalculatorThe Options Risk Calculator V1.0 is a fast, visual tool designed to help options traders evaluate position sizing, risk exposure, and profit targets in real-time. 🔹 Features: - Contract-based entry price - User-defined quantity, stop loss %, and take profit % - Per-contract and total value breakdown - Dynamic, color-coded table display - Adjustable colors to match your theme 📘 How to Use: 1. Set your contract price (e.g. 2.50 = $250) 2. Enter how many contracts you’re buying 3. Set your Stop Loss % (e.g. 21%) and Target % (e.g. 30%) 4. View the on-screen table → It updates live with dollar values per contract and total risk/reward ⚠️ Note: This tool is for planning and visualization purposes only. It does not execute or suggest trades. Source code is protected.
Pine Script® göstergesi
InfamousStacker tarafından
1
MACD + SMA 200 Indicator v6🔹 Overview This advanced indicator combines MACD components with a 200-period SMA to identify high-probability trend directions. It provides: ✅ Multi-timeframe trend analysis (Fast, Slow, and Very Slow MAs) ✅ Visual alerts when the 200 SMA changes direction (bullish/bearish) ✅ Customizable display options (toggle MAs on/off individually) ✅ Clean, professional visuals with color-coded trend confirmation Perfect for swing traders and investors who want to align with the dominant trend while avoiding false signals. 📊 Key Features 1. Triple Moving Average System Fast MA (12-period) – Short-term momentum Slow MA (26-period) – Medium-term trend Very Slow MA (200-period) – Long-term trend filter (bullish/bearish market) 2. Smart Trend Detection 200 SMA Color Shift: Automatically changes color when trend reverses (green = bullish, red = bearish). Visual Labels ("BU" / "SD"): Marks where the 200 SMA confirms a new trend direction. 3. Fully Customizable Toggle each MA on/off (reduce clutter if needed). Enable/disable colors for cleaner charts. Adjustable lengths for all moving averages. 4. Built-in Alerts 🔔 "Very Slow MA Turned Green" – Signals potential bullish reversal. 🔔 "Very Slow MA Turned Red" – Signals potential bearish reversal. 🎯 How to Use This Indicator 📈 Bullish Confirmation (Long Setup) ✔ Price above 200 SMA (Very Slow MA turns green) ✔ Fast MA (12) > Slow MA (26) (MACD momentum supports uptrend) ✔ "BU" label appears (confirms trend shift) 📉 Bearish Confirmation (Short Setup) ✔ Price below 200 SMA (Very Slow MA turns red) ✔ Fast MA (12) < Slow MA (26) (MACD momentum supports downtrend) ✔ "SD" label appears (confirms trend shift) ⚙️ Settings & Customization MA Visibility: Turn individual MAs on/off. Colors: Disable if you prefer a minimal chart. Alerts: Enable to get notifications when the 200 SMA changes trend. 📌 Why This Indicator? Avoid false signals by combining MACD with the 200 SMA. Clear visual cues make trend identification effortless. Works on all timeframes (best on 1H, 4H, Daily for swing trades). 🔗 Try it now and trade with the trend! 🚀 📥 Get the Indicator 👉 Click "Add to Chart" and customize it to your trading style! 💬 Feedback? Let me know in the comments how it works for you!
Pine Script® göstergesi
tarpaga tarafından
stracturre.x// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © @mr_khan_smc //////////////////////////////////////// // Commercial Use Protection Notice: // This code is protected for commercial use. Any unauthorized reproduction, distribution, or modification // of this code for commercial purposes is strictly prohibited and may result in legal actions. //////////////////////////////////////// //@version=5 indicator("stracturre.x", "KHAN SMC", true, max_bars_back = 5000, max_labels_count = 500, max_lines_count = 500) //#region variable declaration var bool mnUp = na var bool mnDn = na float mnStrc = na var top = high var bot = low var puUp = high var puDn = low var L = low var H = high var idmB = low var idmS = high var lastH = high var lastL = low var lastHH = high var lastLL = low //bar indexes var int puUpbar = na var int puDnbar = na var int idmB_bar = na var int idmS_bar = na var int Hbar = bar_index var int Lbar = bar_index var int lastHbar = bar_index var int lastLbar = bar_index var int lastHHbar = bar_index var int lastLLbar = bar_index //structure confirmaions lastHL = math.max(Hbar, Lbar) var bool isBosUp = 0 var bool isBosDn = 0 var bool isCocUp = 1 var bool isCocDn = 1 //color color transp = color.new(#59ff62, 5) //drawing options equalHL = input.bool(0,"Use equal H/L", "To calculate valid pullbacks and minor structure", group = "Calculation method") showHL = input.bool(1, "Mark H/L", group = "H/L marking options") HLcolor = input.color(color.rgb(0, 0, 0), "H/L color", group = "H/L marking options") showMn = input.bool(0, "Mark out internal structure", group = "Internal structue") puUpco = input.color(color.rgb(255, 82, 82) , "High pivots", inline = "mnco", group = "Internal structue") puDnco = input.color(color.green, "Low pivots" , inline = "mnco", group = "Internal structue") showBC = input.bool(1, "Mark BoS/ChoCH", group = "BoS/Choch") bull = input.color(color.green, "Bull color", inline = "BSclor" ,group = "BoS/Choch") bear = input.color(color.red , "Bear color", inline = "BSclor" ,group = "BoS/Choch") showbarcolor = input.bool(0,"Bar color", group = "Bar color") showSCOB = input.bool(1, "Show SCOB pattern", group = "Bar color") scobUp = input.color(color.aqua , "Bullish SCOB", inline = "scob" , group = "Bar color") scobDn = input.color(color.fuchsia, "Bearish SCOB", inline = "scob" , group = "Bar color") showIDM = input.bool(1,"Mark previous IDM", group = "IDM") showliveIDM = input.bool(1,"Mark live IDM", group = "IDM") idmColor = input.color(color.rgb(21, 6, 230), "IDM color", group = "IDM") var label lv_lbl = na var line lv_line = na showSw = input.bool(1, "Show H/L sweeping lines", group = "H/L sweeps") markX = input.bool(1, 'Mark "X"', group = "H/L sweeps") swColor = input.color(color.white, "Sweeping line color", group = "H/L sweeps") //max line length maxlen = bar_index - 500 //#endregion //#region drawing functions mnMark(bool UD) => if showMn label.new( x = UD ? puUpbar : puDnbar, y = UD ? puUp : puDn, yloc = UD ? yloc.abovebar : yloc.belowbar, text = "", color = UD ? puUpco : puDnco, style = UD ? label.style_arrowdown : label.style_arrowup, size = size.tiny ) BoS_ChoCh(bool B_C, bool UpDn) => = switch B_C == 1 and UpDn == 1 => B_C == 0 and UpDn == 1 => B_C == 0 and UpDn == 0 => B_C == 1 and UpDn == 0 => HLbarid := HLbarid < maxlen ? maxlen : HLbarid if showBC line.new(HLbarid, BCprc, bar_index, BCprc, color = BCcolor, style = line.style_dashed) label.new( int( math.avg(bar_index,HLbarid) ), BCprc ,BCtxt ,color = transp ,style = BCstyle ,textcolor = BCcolor ) cfHL(bool ifHL) => = switch ifHL => if high > H else => if low < L else ifHL_txt = if ifHL if H == lastHH "HH" else "LH" else if L == lastLL "LL" else "HL" cfHLStyle = ifHL ? label.style_label_down : label.style_label_up if showHL label.new(ifHLbarid,HLprc,ifHL_txt, color = transp, textcolor = HLcolor, style = cfHLStyle) sweep(bool swHL, bool swHrLr) => swStyle = swHL ? label.style_label_down : label.style_label_up = switch swHL == 1 and swHrLr == 1 => swHL == 1 and swHrLr == 0 => swHL == 0 and swHrLr == 1 => swHL == 0 and swHrLr == 0 => swHLbarid := swHLbarid < maxlen ? maxlen : swHLbarid //draw sweeping line if showSw line.new(swHLbarid,swprc,bar_index,swprc,color = swColor,style = line.style_dotted) if markX label.new(int(math.avg(bar_index,swHLbarid)),swprc, "X", color = transp, textcolor = swColor, style = swStyle, size = size.small) IDM(bool BS) => IDMid = BS ? idmB_bar : idmS_bar idmprc = BS ? idmB : idmS idmStyle = BS ? label.style_label_up : label.style_label_down IDMid := IDMid < maxlen ? maxlen : IDMid //draw idm takeout line if showIDM line.new(IDMid,idmprc,bar_index,idmprc,color = idmColor,style = line.style_dotted) label.new(int(math.avg(bar_index,IDMid)),idmprc, "IDM", color = transp, textcolor = idmColor, style = idmStyle,size = size.small) //Bar color ba_color = if showSCOB if low == puDn and low >= low and close > high and close > low scobUp else if high == puUp and high <= high and close < low and close < high scobDn else if showbarcolor isCocUp?bull:bear else na barcolor(ba_color,-1) //#endregion //#region structure mapping //update IDM if (high > H or (high == H and equalHL)) and low > idmB if low <= puDn idmB := low idmB_bar := bar_index else idmB := puDn idmB_bar := puDnbar if (low < L or (low == L and equalHL)) and high < idmS if high >= puUp idmS := high idmS_bar := bar_index else idmS := puUp idmS_bar := puUpbar //Check for IDM and ChoCh if isCocUp and lastHL != Lbar if low < idmB if idmB != lastL IDM(1) isBosUp := 0 lastH := H lastHbar := Hbar lastHH := H lastHHbar := Hbar cfHL(1) L := low Lbar := bar_index else if lastH != lastHH and high > lastH cfHL(0) isCocDn := 0 isBosDn := 0 if close > lastH BoS_ChoCh(0,1) isCocUp := 1 else sweep(1,0) if isCocDn and lastHL != Hbar if high > idmS if idmS != lastH IDM(0) isBosDn := 0 lastL := L lastLbar := Lbar lastLL := L lastLLbar := Lbar cfHL(0) H := high Hbar := bar_index else if low < lastL and lastL != lastLL if close < lastL BoS_ChoCh(0,0) cfHL(1) isCocDn := 1 isCocUp := 0 isBosUp := 0 else sweep(0,1) //Check for BoS if isBosUp == 0 if high > lastHH if close > lastHH BoS_ChoCh(1,1) cfHL(0) lastL := L lastLbar := Lbar isCocUp := 1 isBosUp := 1 isCocDn := 0 isBosDn := 0 else sweep(1,1) if isBosDn == 0 if low < lastLL if close < lastLL BoS_ChoCh(1,0) cfHL(1) lastH := H lastHbar := Hbar isCocUp := 0 isBosUp := 0 isCocDn := 1 isBosDn := 1 else sweep(0,0) //#endregion //#region internal structure if equalHL if high >= top if low > bot mnDn :=0 mnUp := 1 if low <= bot if high < top mnUp := 0 mnDn := 1 if mnUp and not mnUp mnMark(1) if mnDn and not mnDn mnMark(0) else if high > top if low > bot mnDn :=0 mnUp := 1 if low < bot if high < top mnUp := 0 mnDn := 1 if mnUp and not mnUp mnMark(1) if mnDn and not mnDn mnMark(0) if equalHL if high >= top puUp := high puUpbar := bar_index if low <= bot puDn := low puDnbar := bar_index top := high bot := low if high >= top top := high bot := low else if high > top puUp := high puUpbar := bar_index if low < bot puDn := low puDnbar := bar_index top := high bot := low if high > top top := high bot := low //#endregion //#region auto update High and Low vars if high > H or (high == H and equalHL) H := high Hbar := bar_index if high > idmS idmS := high idmS_bar := bar_index if high > lastH or (high == lastH and equalHL) lastH := high lastHbar := bar_index if high > lastHH or (high == lastHH and equalHL) lastHH := high lastHHbar := bar_index if low < L or (low == L and equalHL) L := low Lbar := bar_index if low < idmB idmB := low idmB_bar := bar_index if low < lastL or (low == lastL and equalHL) lastL := low lastLbar := bar_index if low < lastLL or (low == lastLL and equalHL) lastLL := low lastLLbar := bar_index //#endregion //#region live IDM if showliveIDM and barstate.islast = if isCocUp and lastHL == Hbar else if isCocDn and lastHL == Lbar lv_line := line.new(liveIDMbar, liveIDM, bar_index + 20, liveIDM, color = idmColor, style = line.style_dotted), lv_lbl := label.new(bar_index + 20, liveIDM, "IDM", color = transp, textcolor = idmColor, style = isCocUp ? label.style_label_down : label.style_label_up, size = size.small) else lv_line := na lv_lbl := na line.delete(lv_line ) label.delete(lv_lbl ) //#endregion //#region fixing bugs // plot(H,"H") // plot(lastH, "lastH") // plot(lastHH, "lastHH") // plot(idmS, "idmS") // plot(puUp, "puUp") // plot(L,"L") // plot(lastL, "lastL") // plot(lastLL, "lastLL") // plot(idmB, "idmB") // plot(puDn, "puDn") //#endregion
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