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Cciindicator

MACD + CCI Balanced ProEnglish Version My custom indicator combines MACD and CCI, with full access to settings directly from the interface — you can adjust periods, signals, and everything else without editing the code. It can also be combined with my previous EMA for better results and a clearer market perspective. RU. Мой кастомный индикатор объединяет MACD и CCI, с полным доступом к настройкам прямо из интерфейса — можно менять периоды, сигналы и всё остальное без правки кода. Его также можно комбинировать с моим предыдущим EMA для лучшего результата и более наглядного видения рынка.
Pine Script® indicator
by OpenYourMind1318
Commodity Channel Index CCI + EMA strategy ================================================================================ COMMODITY CHANNEL INDEX CCI + EMA STRATEGY - STRATEGY GUIDE 📊 ================================================================================ 💡 COLLABORATION & SUPPORT --------------------------- If you want to collaborate, have an idea for a strategy, or need help writing or customizing code, send an email to burdytrader@gmail.com or send me a message. Suggestions, ideas, and comments are always welcome! 🤝 I also develop automated trading codes for other trading platforms including: - CTrader (C#) - MetaTrader 4 (MQL4) - MetaTrader 5 (MQL5) If you need a strategy converted or developed for any of these platforms, feel free to contact me! ================================================================================ ⚠️ IMPORTANT: INSTRUMENT SELECTION 📈 ------------------------------------- This strategy performs BEST with currency pairs (forex). The CCI indicator works particularly well in the forex market due to the nature of currency movements and the effectiveness of the CCI in identifying overbought and oversold conditions in trending markets. Why Currency Pairs? 🎯 - CCI is highly effective in identifying reversals in forex markets - Currency pairs show clear overbought/oversold patterns - EMA filter (50/200) aligns well with major forex trends - High liquidity ensures reliable signal execution Performance Highlights: In specific currency pairs, when properly configured, this strategy can achieve: - Profit Factor: Over 2.0 - Win Rate: Up to 70% - Particularly effective pairs: USDCAD, EURUSD, GBPJPY While the strategy can work with other instruments (stocks, indices, commodities), currency pairs provide the most consistent and reliable results. For optimal performance, focus on major forex pairs with good liquidity and clear trending characteristics. ================================================================================ WHAT DOES THIS STRATEGY DO? 🎯 --------------------------- This strategy combines the Commodity Channel Index (CCI) with Exponential Moving Averages (EMA) to identify high-probability trading opportunities. The strategy uses CCI crossovers with a smoothing moving average and filters signals using EMA trend confirmation. The strategy automatically enters trades when CCI crosses the smoothing MA in specific zones, indicating potential trend reversals or continuations. HOW IT WORKS? ⚙️ --------------- 1. CCI CALCULATION 📈 The strategy calculates the Commodity Channel Index using: - CCI = (Price - SMA(Price, length)) / (0.015 × Deviation(Price, length)) - Default length: 20 periods - Source: HLC3 (typical price) The CCI shows: - Values above +100 = Overbought conditions - Values below -100 = Oversold conditions - Values around 0 = Neutral conditions 2. SMOOTHING MOVING AVERAGE 📊 A moving average is applied to the CCI to smooth out fluctuations: - Types available: SMA, EMA, SMMA (RMA), WMA, VWMA - Default: SMA with length 14 - Can be disabled (set to "None") This smoothed line acts as a reference for crossover signals. 3. EMA TREND FILTER 🎯 Two EMAs are calculated on the CCI: - EMA 50 (fast EMA) - EMA 200 (slow EMA) When the EMA filter is enabled: - LONG signals only occur when EMA50 > EMA200 (uptrend confirmation) - SHORT signals only occur when EMA50 < EMA200 (downtrend confirmation) This filter can be enabled/disabled via the "Use EMA Filter" option. 4. ENTRY CONDITIONS 🎲 LONG ENTRY (Buy Signal): - CCI crosses ABOVE the Smoothing MA (crossover) - CCI is between Lower Level (-100) and Middle Level (0) - EMA Filter: EMA50 > EMA200 (if filter enabled) - No existing positions (or close opposite positions first) SHORT ENTRY (Sell Signal): - CCI crosses BELOW the Smoothing MA (crossunder) - CCI is between Middle Level (0) and Upper Level (+100) - EMA Filter: EMA50 < EMA200 (if filter enabled) - No existing positions (or close opposite positions first) 5. POSITION MANAGEMENT 💰 The strategy uses a simple position management approach: - Only ONE position at a time (no pyramiding) - If a signal occurs in the opposite direction, closes existing position first - Then opens new position in the new direction - This prevents overexposure and simplifies risk management 6. TAKE PROFIT & STOP LOSS SETTINGS 🎯 The strategy uses percentage-based TP/SL: - Take Profit: 1.0% (default, configurable) - Stop Loss: 0.5% (default, configurable) - Risk/Reward Ratio: 2:1 (TP is double the SL) TP/SL are calculated once when the position opens and remain fixed. AVAILABLE PARAMETERS ⚙️ ----------------------- CCI SETTINGS: 1. CCI Length (Default: 20) - Period for CCI calculation - Lower values = More sensitive to recent price action - Higher values = More smoothed, less sensitive 2. CCI Source (Default: HLC3) - Price source for CCI calculation - Options: close, open, high, low, hlc3, hlcc4, ohlc4 3. CCI Lower Level (Default: -100) - Lower boundary for LONG entry zone - Typically -100 for oversold conditions 4. CCI Middle Level (Default: 0) - Neutral level separating LONG and SHORT zones 5. CCI Upper Level (Default: +100) - Upper boundary for SHORT entry zone - Typically +100 for overbought conditions SMOOTHING MA: 6. Type (Default: SMA) - Moving average type: None, SMA, EMA, SMMA (RMA), WMA, VWMA - Set to "None" to disable smoothing 7. Length (Default: 14) - Period for smoothing MA - Range: 7-28, step 7 EMA FILTER: 8. EMA 1 Length (Default: 50) - Fast EMA period applied to CCI 9. EMA 2 Length (Default: 200) - Slow EMA period applied to CCI 10. Use EMA Filter (Default: true) - Enable/disable EMA trend filter - When enabled: LONG only if EMA50 > EMA200, SHORT only if EMA50 < EMA200 RISK MANAGEMENT: 11. Take Profit (%) (Default: 1.0%) - Profit target as percentage of entry price - For LONG: Entry × (1 + TP%) - For SHORT: Entry × (1 - TP%) 12. Stop Loss (%) (Default: 0.5%) - Stop loss as percentage of entry price - For LONG: Entry × (1 - SL%) - For SHORT: Entry × (1 + SL%) VISUALIZATION 📊 --------------- The strategy displays in a separate panel below the price chart: 1. CCI LINE - Blue line showing the CCI value - Oscillates around zero 2. SMOOTHING MA LINE - Yellow line showing the smoothed CCI - Reference line for crossover signals 3. CCI LEVEL LINES - Red dashed line: Upper Level (+100) - Green dashed line: Lower Level (-100) - Yellow dashed line: Middle Level (0) 4. ENTRY SIGNALS - Green cross: LONG entry signal (when CCI crosses above MA) - Red cross: SHORT entry signal (when CCI crosses below MA) RECOMMENDED SETTINGS 🎯 ----------------------- To get started, you can use these settings: CCI SETTINGS: - CCI Length: 20 (default) - CCI Source: HLC3 (default) - CCI Lower Level: -100 (default) - CCI Middle Level: 0 (default) - CCI Upper Level: +100 (default) SMOOTHING MA: - Type: SMA (default) or EMA for faster response - Length: 14 (default) EMA FILTER: - EMA 1 Length: 50 (default) - EMA 2 Length: 200 (default) - Use EMA Filter: true (recommended for better signal quality) RISK MANAGEMENT: - Take Profit (%): 1.0% (adjust based on your risk/reward preference) - Stop Loss (%): 0.5% (adjust based on your risk tolerance) For more aggressive trading: - Reduce CCI Length to 14-16 - Reduce Smoothing MA Length to 7 - Disable EMA Filter For more conservative trading: - Increase CCI Length to 24-30 - Increase Smoothing MA Length to 21-28 - Keep EMA Filter enabled RECOMMENDED CURRENCY PAIRS 💱 ------------------------------ This strategy is optimized for currency pairs and performs exceptionally well on the following pairs when properly configured: TOP PERFORMING PAIRS: - USDCAD: Can achieve Profit Factor > 2.0 and Win Rate up to 70% - EURUSD: Excellent performance with consistent signals - GBPJPY: Strong results with proper EMA filter configuration These pairs have shown the best historical performance due to: - Clear trending characteristics - Good response to CCI overbought/oversold levels - Strong alignment with EMA 50/200 trend filter - High liquidity ensuring reliable execution When trading these pairs, use the default settings or slightly adjusted parameters based on the pair's volatility. Always backtest on historical data before using real money to find the optimal configuration for each specific pair. PRACTICAL EXAMPLE 📝 -------------------- Scenario: LONG Entry on EUR/USD 1. Market conditions: - Price: 1.1000 - CCI: -80 (in oversold zone) - Smoothing MA: -90 - CCI crosses above Smoothing MA (crossover occurs) - EMA50: -50, EMA200: -70 (EMA50 > EMA200, uptrend confirmed) 2. Strategy checks conditions: ✓ Smoothing MA enabled: Yes ✓ Crossover: Yes (CCI crosses above MA) ✓ CCI in range: Yes (-100 <= -80 <= 0) ✓ EMA Filter: Yes (EMA50 > EMA200) ✓ No existing position: Yes 3. Strategy opens position: - Direction: LONG (Buy) - Entry: 1.1000 (current close) - Take Profit: 1.1110 (1.0% above entry) - Stop Loss: 1.0945 (0.5% below entry) - Risk/Reward: 2:1 4. Outcome scenarios: - If price rises to 1.1110 → Take Profit hit (profit) - If price falls to 1.0945 → Stop Loss hit (loss limited) IMPORTANT NOTE ⚠️ ----------------- This strategy is a technical analysis tool based on CCI and EMA indicators. Like all trading strategies, it does NOT guarantee profits. Trading involves significant risks and you can lose money, including your entire investment. Past performance does not guarantee future results. Always: - Use appropriate risk management - Never risk more than you can afford to lose - Test the strategy on historical data (backtesting) before using real money - Start with small position sizes or paper trading - Understand that no strategy works 100% of the time - Consider market conditions, news events, and other factors - Keep a trading journal to learn and improve The author and contributors are NOT responsible for any losses incurred from using this strategy. Trading decisions are your own responsibility. Profits are NOT guaranteed, and losses are possible. LICENSE 📄 ---------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Pine Script® strategy
by Burdiga84
CCI [Hash Adaptive]Adaptive CCI Pro: Professional Technical Analysis Indicator The Commodity Channel Index is a momentum oscillator developed by Donald Lambert in 1980. CCI measures the relationship between an asset's price and its statistical average, identifying cyclical turns and overbought/oversold conditions. The indicator oscillates around zero, with values above +100 indicating overbought conditions and values below -100 suggesting oversold conditions. Standard CCI Formula: (Typical Price - Moving Average) / (0.015 × Mean Deviation) This indicator transforms the traditional CCI into a sophisticated visual analysis tool through several key enhancements: Implements dual exponential moving average smoothing to eliminate market noise Preserves signal integrity while reducing false signals Adaptive smoothing responds to market volatility conditions Dynamic Color Visualization System Continuous gradient transitions from red (bearish momentum) to green (bullish momentum) Real-time color intensity reflects momentum strength Eliminates discrete color jumps for fluid visual interpretation Adaptive Intelligence Features Dynamic overbought/oversold thresholds adapt to market conditions Reduces false signals during high volatility periods Maintains sensitivity during low volatility environments Momentum Vector Analysis Incorporates velocity calculations for early trend identification Crossover detection with momentum confirmation Advanced signal filtering reduces market noise Extreme Level Analysis Values above +100: Strong overbought conditions, potential reversal zones Values below -100: Strong oversold conditions, potential buying opportunities Zero-line crossovers: Momentum shift confirmation Optimization Parameters CCI Period (Default: 14) Shorter periods (10-12): Increased sensitivity, more signals Standard periods (14-20): Balanced responsiveness and reliability Longer periods (21-30): Reduced noise, stronger signal confirmation Smoothing Factor (Default: 5) Lower values (1-3): Maximum responsiveness, suitable for scalping Medium values (4-6): Balanced approach for swing trading Higher values (7-10): Institutional-grade smoothness for position trading Signal Sensitivity (Default: 6) Conservative (7-10): High-probability signals, reduced frequency Balanced (5-6): Optimal risk-reward ratio Aggressive (1-4): Maximum signal generation, requires additional confirmation Strategic Implementation Oversold reversals in red zones with momentum confirmation Zero-line breaks with sustained color transitions Extreme readings followed by momentum divergence Risk Management Use extreme levels (+100/-100) for position sizing decisions Monitor color intensity for momentum strength assessment Combine with price action analysis for comprehensive market view Market Context Application Trending markets: Focus on momentum direction and extreme readings Range-bound markets: Utilize overbought/oversold levels for mean reversion Volatile markets: Increase smoothing parameters and signal sensitivity Professional Advantages Instantaneous momentum assessment through color visualization Reduced cognitive load compared to traditional oscillators Professional presentation suitable for client reporting Adaptive Technology Self-adjusting parameters reduce manual optimization requirements Consistent performance across varying market conditions Advanced mathematics eliminate common CCI limitations The Adaptive CCI Pro represents the evolution of momentum analysis, combining Lambert's foundational CCI concept with modern computational techniques to deliver institutional-grade market intelligence through an intuitive visual interface.
Pine Script® indicator
by Hash_Capital
Optimized ADX DI CCI Strategy### Key Features: - Combines ADX, DI+/-, CCI, and RSI for signal generation. - Supports customizable timeframes for indicators. - Offers multiple exit conditions (Moving Average cross, ADX change, performance-based stop-loss). - Tracks and displays trade statistics (e.g., win rate, capital growth, profit factor). - Visualizes trades with labels and optional background coloring. - Allows countertrading (opening an opposite trade after closing one). 1. **Indicator Calculation**: - **ADX and DI+/-**: Calculated using the `ta.dmi` function with user-defined lengths for DI and ADX smoothing. - **CCI**: Computed using the `ta.cci` function with a configurable source (default: `hlc3`) and length. - **RSI (optional)**: Calculated using the `ta.rsi` function to filter overbought/oversold conditions. - **Moving Averages**: Used for CCI signal smoothing and trade exits, with support for SMA, EMA, SMMA (RMA), WMA, and VWMA. 2. **Signal Generation**: - **Buy Signal**: Triggered when DI+ > DI- (or DI+ crosses over DI-), CCI > MA (or CCI crosses over MA), and optional ADX/RSI filters are satisfied. - **Sell Signal**: Triggered when DI+ < DI- (or DI- crosses over DI+), CCI < MA (or CCI crosses under MA), and optional ADX/RSI filters are satisfied. 3. **Trade Execution**: - **Entry**: Long or short trades are opened using `strategy.entry` when signals are detected, provided trading is allowed (`allow_long`/`allow_short`) and equity is positive. - **Exit**: Trades can be closed based on: - Opposite signal (if no other exit conditions are used). - MA cross (price crossing below/above the exit MA for long/short trades). - ADX percentage change exceeding a threshold. - Performance-based stop-loss (trade loss exceeding a percentage). - **Countertrading**: If enabled, closing a trade triggers an opposite trade (e.g., closing a long opens a short). 4. **Visualization**: - Labels are plotted at trade entries/exits (e.g., "BUY," "SELL," arrows). - Optional background coloring highlights open trades (green for long, red for short). - A statistics table displays real-time metrics (e.g., capital, win rates). 5. **Trade Tracking**: - Tracks the number of long/short trades, wins, and overall performance. - Monitors equity to prevent trading if it falls to zero. ### 2.3 Key Components - **Indicator Calculations**: Uses `request.security` to fetch indicator data for the specified timeframe. - **MA Function**: A custom `ma_func` handles different MA types for CCI and exit conditions. - **Signal Logic**: Combines crossover/under checks with recent bar windows for flexibility. - **Exit Conditions**: Multiple configurable exit strategies for risk management. - **Statistics Table**: Updates dynamically with trade and capital metrics. ## 3. Configuration Options The script provides extensive customization through input parameters, grouped for clarity in the TradingView settings panel. Below is a detailed breakdown of each setting and its impact. ### 3.1 Strategy Settings (Global) - **Initial Capital**: Default `10000`. Sets the starting capital for backtesting. - **Effect**: Determines the base equity for calculating position sizes and performance metrics. - **Default Quantity Type**: `strategy.percent_of_equity` (50% of equity). - **Effect**: Controls the size of each trade as a percentage of available equity. - **Pyramiding**: Default `2`. Allows up to 2 simultaneous trades in the same direction. - **Effect**: Enables multiple entries if conditions are met, increasing exposure. - **Commission**: 0.2% per trade. - **Effect**: Simulates trading fees, reducing net profit in backtesting. - **Margin**: 100% for long and short trades. - **Effect**: Assumes no leverage; adjust for margin trading simulations. - **Calc on Every Tick**: `true`. - **Effect**: Ensures real-time signal updates for precise execution. ### 3.2 Indicator Settings - **Indicator Timeframe** (`indicator_timeframe`): - **Options**: `""` (chart timeframe), `1`, `5`, `15`, `30`, `60`, `240`, `D`, `W`. - **Default**: `""` (uses chart timeframe). - **Effect**: Determines the timeframe for ADX, DI, CCI, and RSI calculations. A higher timeframe reduces noise but may delay signals. ### 3.3 ADX & DI Settings - **DI Length** (`adx_di_len`): - **Default**: `30`. - **Range**: Minimum `1`. - **Effect**: Sets the period for calculating DI+ and DI-. Longer periods smooth trends but reduce sensitivity. - **ADX Smoothing Length** (`adx_smooth_len`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Smooths the ADX calculation. Longer periods produce smoother ADX values. - **Use ADX Filter** (`use_adx_filter`): - **Default**: `false`. - **Effect**: If `true`, requires ADX to exceed the threshold for signals to be valid, filtering out weak trends. - **ADX Threshold** (`adx_threshold`): - **Default**: `25`. - **Range**: Minimum `0`. - **Effect**: Sets the minimum ADX value for valid signals when the filter is enabled. Higher values restrict trades to stronger trends. ### 3.4 CCI Settings - **CCI Length** (`cci_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for CCI calculation. Longer periods reduce noise but may lag. - **CCI Source** (`cci_src`): - **Default**: `hlc3` (average of high, low, close). - **Effect**: Defines the price data for CCI. `hlc3` is standard, but users can choose other sources (e.g., `close`). - **CCI MA Type** (`ma_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the moving average type for CCI signal smoothing. EMA is more responsive; VWMA weights by volume. - **CCI MA Length** (`ma_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the CCI MA. Longer periods smooth the MA but may delay signals. ### 3.5 RSI Filter Settings - **Use RSI Filter** (`use_rsi_filter`): - **Default**: `false`. - **Effect**: If `true`, applies RSI-based overbought/oversold filters to signals. - **RSI Length** (`rsi_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for RSI calculation. Longer periods reduce sensitivity. - **RSI Lower Limit** (`rsi_lower_limit`): - **Default**: `30`. - **Range**: `0` to `100`. - **Effect**: Defines the oversold threshold for buy signals. Lower values allow trades in more extreme conditions. - **RSI Upper Limit** (`rsi_upper_limit`): - **Default**: `70`. - **Range**: `0` to `100`. - **Effect**: Defines the overbought threshold for sell signals. Higher values allow trades in more extreme conditions. ### 3.6 Signal Settings - **Cross Window** (`cross_window`): - **Default**: `0`. - **Range**: `0` to `5` bars. - **Effect**: Specifies the lookback period for detecting DI+/- or CCI crosses. `0` requires crosses on the current bar; higher values allow recent crosses, increasing signal frequency. - **Allow Long Trades** (`allow_long`): - **Default**: `true`. - **Effect**: Enables/disables new long trades. If `false`, only closing existing longs is allowed. - **Allow Short Trades** (`allow_short`): - **Default**: `true`. - **Effect**: Enables/disables new short trades. If `false`, only closing existing shorts is allowed. - **Require DI+/DI- Cross for Buy** (`buy_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI+ crossover DI- for buy signals; if `false`, DI+ > DI- is sufficient. - **Require CCI Cross for Buy** (`buy_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossover MA for buy signals; if `false`, CCI > MA is sufficient. - **Require DI+/DI- Cross for Sell** (`sell_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI- crossover DI+ for sell signals; if `false`, DI+ < DI- is sufficient. - **Require CCI Cross for Sell** (`sell_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossunder MA for sell signals; if `false`, CCI < MA is sufficient. - **Countertrade** (`countertrade`): - **Default**: `true`. - **Effect**: If `true`, closing a trade triggers an opposite trade (e.g., close long, open short) if allowed. - **Color Background for Open Trades** (`color_background`): - **Default**: `true`. - **Effect**: If `true`, colors the chart background green for long trades and red for short trades. ### 3.7 Exit Settings - **Use MA Cross for Exit** (`use_ma_exit`): - **Default**: `true`. - **Effect**: If `true`, closes trades when the price crosses the exit MA (below for long, above for short). - **MA Length for Exit** (`ma_exit_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the exit MA. Longer periods delay exits. - **MA Type for Exit** (`ma_exit_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the MA type for exit signals. EMA is more responsive; VWMA weights by volume. - **Use ADX Change Stop-Loss** (`use_adx_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the ADX changes by a specified percentage. - **ADX % Change for Stop-Loss** (`adx_change_percent`): - **Default**: `5.0`. - **Range**: Minimum `0.0`, step `0.1`. - **Effect**: Specifies the percentage change in ADX (vs. previous bar) that triggers a stop-loss. Higher values reduce premature exits. - **Use Performance Stop-Loss** (`use_perf_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the loss exceeds a percentage threshold. - **Performance Stop-Loss (%)** (`perf_stop_percent`): - **Default**: `-10.0`. - **Range**: `-100.0` to `0.0`, step `0.1`. - **Effect**: Specifies the loss percentage that triggers a stop-loss. More negative values allow larger losses before exiting. ## 4. Visual and Statistical Output - **Labels**: Displayed at trade entries/exits with arrows (↑ for buy, ↓ for sell) and text ("BUY," "SELL"). A "No Equity" label appears if equity is zero. - **Background Coloring**: Optionally colors the chart background (green for long, red for short) to indicate open trades. - **Statistics Table**: Displayed at the top center of the chart, updated on timeframe changes or trade events. Includes: - **Capital Metrics**: Initial capital, current capital, capital growth (%). - **Trade Metrics**: Total trades, long/short trades, win rate, long/short win rates, profit factor. - **Open Trade Status**: Indicates if a long, short, or no trade is open. ## 5. Alerts - **Buy Signal Alert**: Triggered when `buy_signal` is true ("Cross Buy Signal"). - **Sell Signal Alert**: Triggered when `sell_signal` is true ("Cross Sell Signal"). - **Usage**: Users can set up TradingView alerts to receive notifications for trade signals.
Pine Script® strategy
by osterhansi_
ATR+CCI Monetary Risk Tool - TP/SL⚙️ ATR+CCI Monetary Risk Tool — Volatility-aware TP/SL & Position Sizing Exact prices (no rounding), ATR-percentile dynamic stops, and risk-budget sizing for consistent execution. 🧠 What this indicator is A risk-first planning tool. It doesn’t generate orders; it gives you clean, objective levels (Entry, SL, TP) and position size derived from your risk budget. It shows only the latest setup to keep charts readable, and a compact on-chart table summarizing the numbers you actually act on. ✨ What makes it different Dynamic SL by regime (ATR percentile): Instead of a fixed multiple, the SL multiplier adapts to the current volatility percentile (low / medium / high). That helps avoid tight stops in noisy markets and over-wide stops in quiet markets. Risk budgeting, not guesswork: Size is computed from Account Balance × Max Risk % divided by SL distance × point value. You risk the same dollars across assets/timeframes. Precision that matches your instrument: Entry, TP, SL, and SL Distance are displayed as exact prices (no rounding), truncated to syminfo.mintick so they align with broker/exchange precision. Symbol-aware point value: Uses syminfo.pointvalue so you don’t maintain tick tables. Non-repaint option: Work from closed bars to keep the plan stable. 🔧 How to use (quick start) Add to chart and pick your timeframe and symbol. In settings: Set Account Balance (USD) and Max Risk per Trade (%). Choose R:R (1:1 … 1:5). Pick ATR Period and CCI Period (defaults are sensible). Keep Dynamic ATR ON to adapt SL by regime. Keep Use closed-bar values ON to avoid repaint when planning. Read the labels (Entry/TP/SL) and the table (SL Distance, Position Size, Max USD Risk, ATR Percentile, effective SL Mult). Combine with your entry trigger (price action, levels, momentum, etc.). This indicator handles risk & targets. 📐 How levels are computed Bias: CCI ≥ 0 ⇒ long, otherwise short. ATR Percentile: Percent rank of ATR(atrPeriod) over a lookback window. Effective SL Mult: If percentile < Low threshold ⇒ use Low SL Mult (tighter). If between thresholds ⇒ use Base SL Mult. If percentile > High threshold ⇒ use High SL Mult (wider). Stop-Loss: SL = Entry ± ATR × SL_Mult (minus for long, plus for short). Take-Profit: TP = Entry ± (Entry − SL) × R (R from the R:R dropdown). Position Size: USD Risk = Balance × Risk% Contracts = USD Risk ÷ (|Entry − SL| × PointValue) For futures, quantity is floored to whole contracts. Exact prices: Entry/TP/SL and SL Distance are not rounded; they’re truncated to mintick so what you see matches valid price increments. 📊 What you’ll see on chart Latest Entry (blue), TP (green), SL (red) with labels (optional emojis: ➡️ 🎯 🛑). Info Table with: Bias, Entry, TP, SL (exact, truncated to mintick) SL Distance (exact, truncated) Position Size (contracts/units) Max USD Risk Point Value ATR Percentile and effective SL Mult 🧪 Practical examples High-volatility session (e.g., XAUUSD, 1H): ATR percentile is high ⇒ wider SL, smaller size. Reduces churn from normal noise during macro events. Range-bound market (e.g., EURUSD, 4H): ATR percentile low ⇒ tighter SL, better R:R. Helps you avoid carrying unnecessary risk. Index swing planning (e.g., ES1!, Daily): Non-repaint levels + risk budgeting = consistent sizing across days/weeks, easier to review and journal. 🧭 Why traders should use it Consistency: Same dollar risk regardless of instrument or volatility regime. Clarity: One-trade view forces focus; you see the numbers that matter. Adaptivity: Stops calibrated to the market’s current behavior, not last month’s. Discipline: A visible checklist (SL distance, size, USD risk) before you hit buy/sell. 🔧 Input guide (practical defaults) CCI Period: 100 by default; use as a bias filter, not an entry signal. ATR Period: 14 by default; raise for smoother, lower for more reactive. ATR Percentile Lookback: 200 by default (stable regime detection). Percentile thresholds: 33/66 by default; widen the gap to change how often regimes switch. SL Mults: Start ~1.5 / 2.0 / 2.5 (low/base/high). Tune by asset. Risk % per trade: Common pro ranges are 0.25–1.0%; adjust to your risk tolerance. R:R: Start with 1:2 or 1:3 for balanced skew; adapt to strategy edge. Closed-bar values: Keep ON for planning/live; turn OFF only for exploration. 💡 Best practices Combine with your entry logic (structure, momentum, liquidity levels). Review ATR percentile and effective SL Mult across sessions so you understand regime shifts. For futures, remember size is floored to whole contracts—safer by design. Journal trades with the table snapshot to improve risk discipline over time. ⚠️ Notes & limitations This is not a strategy; it does not place orders or alerts. No slippage/commissions modeled here; build a strategy() version for backtests that mirror your broker/exchange. Displayed non-price metrics use two decimals; prices and SL Distance are exact (truncated to mintick). 📎 Disclaimer For educational purposes only. Not financial advice. Markets involve risk. Test thoroughly before trading live.
Pine Script® indicator
by NathanTradeus
Commodity Trend Reactor [BigBeluga] 🔵 OVERVIEW A dynamic trend-following oscillator built around the classic CCI, enhanced with intelligent price tracking and reversal signals. Commodity Trend Reactor extends the traditional Commodity Channel Index (CCI) by integrating trend-trailing logic and reactive reversal markers. It visualizes trend direction using a trailing stop system and highlights potential exhaustion zones when CCI exceeds extreme thresholds. This dual-level system makes it ideal for both trend confirmation and mean-reversion alerts. 🔵 CONCEPTS Based on the CCI (Commodity Channel Index) oscillator, which measures deviation from the average price. Trend bias is determined by whether CCI is above or below user-defined thresholds. Trailing price bands are used to lock in trend direction visually on the main chart. Extreme values beyond ±200 are treated as potential reversal zones. 🔵 FEATURES\ CCI-Based Trend Shifts: Triggers a bullish bias when CCI crosses above the upper threshold, and bearish when it crosses below the lower threshold. Adaptive Trailing Stops: In bullish mode, a trailing stop tracks the lowest price; in bearish mode, it tracks the highest. Top & Bottom Markers: When CCI surpasses +200 or drops below -200, it plots colored squares both on the oscillator and on price, marking potential reversal zones. Background Highlights: Each time a trend shift occurs, the background is softly colored (lime for bullish, orange for bearish) to highlight the change. 🔵 HOW TO USE Use the oscillator to monitor when CCI crosses above or below threshold values to detect trend activation. Enter trades in the direction of the trailing band once the trend bias is confirmed. Watch for +200 and -200 square markers as warnings of potential mean reversals. Use trailing stop areas as dynamic support/resistance to manage stop loss and exit strategies. The background color changes offer clean confirmation of trend transitions on chart. 🔵 CONCLUSION Commodity Trend Reactor transforms the simple CCI into a complete trend-reactive framework. With real-time trailing logic and clear reversal alerts, it serves both momentum traders and contrarian scalpers alike. Whether you’re trading breakouts or anticipating mean reversions, this indicator provides clarity and structure to your decision-making.
Pine Script® indicator
by BigBeluga
33
HTC peppermint_07 CCI w signal + s&r RSI This CCI version enhances the traditional Commodity Channel Index (CCI) by integrating a dynamically calculated Relative Strength Index (RSI) that acts as support and resistance as shown in the screenshot, it can add as a confirmation to the divergence found in the CCI. Key Features: Enhanced CCI: The primary plot (black line but customizable) represents the standard CCI, providing insight into price momentum and potential overbought/oversold conditions. Dynamic RSI Support/Resistance: The upper and lower bands (medium cyan line) are derived from a smoothed RSI, dynamically adjusting to the current market volatility. These bands serve as potential support and resistance levels for the CCI as additional confirmation for the divergence. Overbought/Oversold Zones: The traditional overbought (+100) and oversold (-100) levels for CCI are marked with horizontal dotted lines. Benefits: Improved Entry/Exit Signals: Combining CCI with dynamic RSI support/resistance may offer more precise trading signals compared to using CCI alone. Dynamic Adaptation: The RSI-based bands adapt to changing market conditions, potentially providing more relevant support and resistance levels. Divergence Confirmation: dynamic s&r RSI adds confluence to potential trend reversals identified by the CCI. Potential Usage: Traders might use this indicator to: Identify potential overbought/oversold conditions using the CCI and its relationship to the dynamic RSI bands. Look for breakouts beyond the dynamic support/resistance levels as potential entry points. Confirm potential trend reversals using RSI divergence (cyan and red label above divergence) signals. Further Development Considerations: Customizable Parameters: Allowing users to adjust the CCI length, RSI periods, and smoothing factors would enhance flexibility. Alert Conditions: Adding alerts for breakouts, overbought/oversold conditions, and divergence signals would improve usability. Backtesting: Thoroughly backtesting the indicator's performance across different assets and timeframes is essential before using it for live trading. DISCLAIMER: !! indicator is a custom technical analysis tool designed for educational and informational purposes only. It should not be construed as financial advice or a recommendation to buy or sell any security. Trading involves substantial risk of loss and may not be suitable for all investors.   Key Points to Consider: No Guarantee of Profitability: The indicator's past performance is not indicative of future results. No trading strategy can guarantee profits or eliminate the risk of losses. You could lose some or all of your investment. Use at Your Own Risk: Use of this indicator is solely at your own discretion and risk. You are responsible for your trading decisions. The developers and distributors of this indicator are not liable for any losses incurred as a result of using it. Not Financial Advice: This indicator does not provide financial advice. Consult with a qualified financial advisor before making any investment decisions. Backtesting Limitations: Backtested results, if presented, should be viewed with caution. Past performance may not reflect future results due to various factors, including changing market conditions and the limitations of backtesting methodologies. Indicator Limitations: Technical indicators, including this one, are not perfect. They can generate false signals, and their effectiveness can vary depending on market conditions and the specific parameters used. Parameter Optimization: Optimizing indicator parameters for past performance can lead to overfitting, which may not translate to future profitability. No Warranty: The indicator is provided "as is" without any warranty of any kind, either express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, or non-infringement.   Changes and Updates: The developers may make changes or updates to the indicator without notice. By using the "HTC peppermint_07 CCI w signal + s&r RSI" indicator, you acknowledge and agree to the terms of this disclaimer. If you do not agree with these terms, do not use the indicator.
Pine Script® indicator
by peppermint07
Triple CCI Strategy MFI Confirmed [Skyrexio]Overview Triple CCI Strategy MFI Confirmed leverages 3 different periods Commodity Channel Index (CCI) indicator in conjunction Money Flow Index (MFI) and Exponential Moving Average (EMA) to obtain the high probability setups. Fast period CCI is used for having the high probability to enter in the direction of short term trend, middle and slow period CCI are used for confirmation, if market now likely in the mid and long-term uptrend. MFI is used to confirm trade with the money inflow/outflow with the high probability. EMA is used as an additional trend filter. Moreover, strategy uses exponential moving average (EMA) to trail the price when it reaches the specific level. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades. Unique Features Dynamic stop-loss system: Instead of fixed stop-loss level strategy utilizes average true range (ATR) multiplied by user given number subtracted from the position entry price as a dynamic stop loss level. Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Four layers trade filtering system: Strategy utilizes two different period CCI indicators, MFI and EMA indicators to confirm the signals produced by fast period CCI. Trailing take profit level: After reaching the trailing profit activation level scrip activate the trailing of long trade using EMA. More information in methodology. Methodology The strategy opens long trade when the following price met the conditions: Fast period CCI shall crossover the zero-line. Slow and Middle period CCI shall be above zero-lines. Price shall close above the EMA. Crossover is not obligatory MFI shall be above 50 When long trade is executed, strategy set the stop-loss level at the price ATR multiplied by user-given value below the entry price. This level is recalculated on every next candle close, adjusting to the current market volatility. At the same time strategy set up the trailing stop validation level. When the price crosses the level equals entry price plus ATR multiplied by user-given value script starts to trail the price with EMA. If price closes below EMA long trade is closed. When the trailing starts, script prints the label “Trailing Activated”. Strategy settings In the inputs window user can setup the following strategy settings: ATR Stop Loss (by default = 1.75) ATR Trailing Profit Activation Level (by default = 2.25) CCI Fast Length (by default = 14, used for calculation short term period CCI) CCI Middle Length (by default = 25, used for calculation short term period CCI) CCI Slow Length (by default = 50, used for calculation long term period CCI) MFI Length (by default = 14, used for calculation MFI EMA Length (by default = 50, period of EMA, used for trend filtering EMA calculation) Trailing EMA Length (by default = 20) User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Before understanding why this particular combination of indicator has been chosen let's briefly explain what is CCI, MFI and EMA. The Commodity Channel Index (CCI) is a momentum-based technical indicator that measures the deviation of a security's price from its average price over a specific period. It helps traders identify overbought or oversold conditions and potential trend reversals. The CCI formula is: CCI = (Typical Price − SMA) / (0.015 × Mean Deviation) Typical Price (TP): This is calculated as the average of the high, low, and closing prices for the period. Simple Moving Average (SMA): This is the average of the Typical Prices over a specific number of periods. Mean Deviation: This is the average of the absolute differences between the Typical Price and the SMA. The result is a value that typically fluctuates between +100 and -100, though it is not bounded and can go higher or lower depending on the price movement. The Money Flow Index (MFI) is a technical indicator that measures the strength of money flowing into and out of a security. It combines price and volume data to assess buying and selling pressure and is often used to identify overbought or oversold conditions. The formula for MFI involves several steps: 1. Calculate the Typical Price (TP): TP = (high + low + close) / 3 2. Calculate the Raw Money Flow (RMF): Raw Money Flow = TP × Volume 3. Determine Positive and Negative Money Flow: If the current TP is greater than the previous TP, it's Positive Money Flow. If the current TP is less than the previous TP, it's Negative Money Flow. 4. Calculate the Money Flow Ratio (MFR): Money Flow Ratio = Sum of Positive Money Flow (over n periods) / Sum of Negative Money Flow (over n periods) 5. Calculate the Money Flow Index (MFI): MFI = 100 − (100 / (1 + Money Flow Ratio)) MFI above 80 can be considered as overbought, below 20 - oversold. The Exponential Moving Average (EMA) is a type of moving average that places greater weight and significance on the most recent data points. It is widely used in technical analysis to smooth price data and identify trends more quickly than the Simple Moving Average (SMA). ​Formula: 1. Calculate the multiplier Multiplier = 2 / (n + 1) , Where n is the number of periods. 2. EMA Calculation EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier) This strategy leverages Fast period CCI, which shall break the zero line to the upside to say that probability of short term trend change to the upside increased. This zero line crossover shall be confirmed by the Middle and Slow periods CCI Indicators. At the moment of breakout these two CCIs shall be above 0, indicating that there is a high probability that price is in middle and long term uptrend. This approach increases chances to have a long trade setup in the direction of mid-term and long-term trends when the short-term trend starts to reverse to the upside. Additionally strategy uses MFI to have a greater probability that fast CCI breakout is confirmed by this indicator. We consider the values of MFI above 50 as a higher probability that trend change from downtrend to the uptrend is real. Script opens long trades only if MFI is above 50. As you already know from the MFI description, it incorporates volume in its calculation, therefore we have another one confirmation factor. Finally, strategy uses EMA an additional trend filter. It allows to open long trades only if price close above EMA (by default 50 period). It increases the probability of taking long trades only in the direction of the trend. ATR is used to adjust the strategy risk management to the current market volatility. If volatility is low, we don’t need the large stop loss to understand the there is a high probability that we made a mistake opening the trade. User can setup the settings ATR Stop Loss and ATR Trailing Profit Activation Level to realize his own risk to reward preferences, but the unique feature of a strategy is that after reaching trailing profit activation level strategy is trying to follow the trend until it is likely to be finished instead of using fixed risk management settings. It allows sometimes to be involved in the large movements. It’s also important to make a note, that script uses another one EMA (by default = 20 period) as a trailing profit level. Backtest Results Operating window: Date range of backtests is 2022.04.01 - 2024.11.25. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 50% Maximum Single Position Loss: -4.13% Maximum Single Profit: +19.66% Net Profit: +5421.21 USDT (+54.21%) Total Trades: 108 (44.44% win rate) Profit Factor: 2.006 Maximum Accumulated Loss: 777.40 USDT (-7.77%) Average Profit per Trade: 50.20 USDT (+0.85%) Average Trade Duration: 44 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 2h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Pine Script® strategy
by Skyrexio
Trend CCITrend CCI (TCCI) Indicator Description: The Trend CCI (TCCI) indicator is a unique combination of the Commodity Channel Index (CCI) and the Average True Range (ATR), designed to identify trends and market reversals with a refined sensitivity to price volatility. The indicator plots the CCI, adjusted by an ATR filter, and color-codes the trendline to signal uptrends and downtrends. How It Works: This indicator uses the CCI to measure price momentum and an ATR-based filter to smooth out market noise, making it easier to detect significant shifts in the market trend. Key parameters such as the ATR Period, ATR Multiplier, and CCI Period have been carefully chosen to optimize the indicator's performance: 1. ATR Period (default: 18) The ATR Period determines the number of periods used to calculate the **Average True Range**, which reflects market volatility. In this case, an **ATR Period of 18** has been selected for several reasons: Balance between responsiveness and noise reduction : A period of 18 strikes a balance between being responsive to recent price movements and filtering out minor fluctuations. Shorter ATR periods might be too reactive, creating false signals, while longer periods might miss shorter-term trends. Adaptable to various market conditions : An 18-period ATR is suitable for both intraday and swing trading strategies, making it versatile across different time frames. Standard industry practice : Many traders use ATR settings between 14 and 20 periods as a convention for detecting reliable volatility levels. 2. ATR Multiplier (default: 1.5) The ATR Multiplier is applied to the ATR value to define how sensitive the indicator is to volatility. In this case, a multiplier of 1.5 has been chosen: Avoiding whipsaws in low volatility markets: By setting the multiplier to 1.5, the indicator filters out smaller, less significant price movements, reducing the likelihood of whipsaw signals (i.e., false trend reversals during periods of low volatility). Optimizing signal accuracy: A moderate multiplier like 1.5 ensures that the indicator only generates signals when the price moves a significant distance from the average range. Higher multipliers (e.g., 2.0) may ignore valid opportunities, while lower multipliers (e.g., 1.0) might create too many signals. Enhancing trend clarity : The multiplier’s role in widening the range allows the indicator to respond more clearly during periods of strong trends, reducing signal noise and false positives. 3. CCI Period (default: 63) The CCI Period defines the number of periods used to calculate the Commodity Channel Index. A 63-period CCI is selected based on the following considerations: Smoothing the momentum calculation: A longer period, such as 63, is used to smooth out the CCI and reduce the effects of short-term price fluctuations. This period captures longer-term momentum, making it ideal for identifying more significant market trends. -Filtering out short-term noise: While shorter CCI periods (e.g., 14 or 20) may be more reactive, they tend to produce more signals, some of which may be false. A 63-period CCI focuses on stronger and more sustained price movements, providing fewer but higher-quality signals. Adapted to intermediate trading: A 63-period CCI aligns well with traders looking for medium-term trend-following strategies, striking a balance between long-term trend identification and responsiveness to significant price shifts. How to Use: Green Area: When the trendline turns green, it signals that the CCI is positive, reflecting upward momentum. This can be interpreted as a buy signal, indicating the potential for long positions or continuing bullish trades. Red Area: When the trendline turns red, it signals that the CCI is negative, reflecting downward momentum. This can be interpreted as a sell signal, indicating potential short positions or bearish trades. ATR Filter: The ATR helps reduce false signals by ignoring minor price movements. Traders can adjust the ATR Multiplier to make the indicator more or less sensitive based on market conditions. A lower multiplier (e.g., 1.2) may increase signal frequency, while a higher multiplier (e.g., 2.0) reduces it. Originality: The Trend CCI (TCCI) stands out due to its combination of the CCI and ATR. While many indicators simply plot raw CCI values, this script enhances the CCI’s effectiveness by incorporating an ATR-based volatility filter. This ensures that only significant trends trigger signals, making it a more reliable tool in volatile markets. The choice of the ATR period, multiplier, and CCI period ensures a refined balance between trend detection and noise reduction, distinguishing it as a powerful trend-following indicator. Additionally, the visual aspect—using color-coded trendlines that dynamically shift between green and red—simplifies the interpretation of market trends, offering traders a clear and immediate understanding of trend direction and momentum strength. Final Recommendations: Use in Trending Markets The TCCI is most effective in trending markets, where its signals align with broader market momentum. In sideways or low-volatility markets, consider adjusting the ATR multiplier or using other complementary indicators to confirm the signals. Risk Management: Always integrate robust risk management practices, such as using stop-loss orders and position sizing, to protect against sudden market reversals or periods of heightened volatility. Adjust for Volatility: Consider the volatility of the asset being traded. In highly volatile assets, a higher ATR multiplier (e.g., 2.0) may be necessary to filter out noise, while in more stable assets, a lower multiplier (e.g., 1.2) might generate earlier signals. By using the Trend CCI (TCCI) indicator with a deeper understanding of its key parameters, traders can better identify trends, reduce noise, and improve their overall decision-making in the markets. Good Profits!
Pine Script® indicator
by NathanTradeus
7
Double CCI Confirmed Hull Moving Average Reversal StrategyOverview The Double CCI Confirmed Hull Moving Average Strategy utilizes hull moving average (HMA) in conjunction with two commodity channel index (CCI) indicators: the slow and fast to increase the probability of entering when the short and mid-term uptrend confirmed. The main idea is to wait until the price breaks the HMA while both CCI are showing that the uptrend has likely been already started. Moreover, strategy uses exponential moving average (EMA) to trail the price when it reaches the specific level. The strategy opens only long trades. Unique Features Dynamic stop-loss system: Instead of fixed stop-loss level strategy utilizes average true range (ATR) multiplied by user given number subtracted from the position entry price as a dynamic stop loss level. Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Double trade setup confirmation: Strategy utilizes two different period CCI indicators to confirm the breakouts of HMA. Trailing take profit level: After reaching the trailing profit activation level scrip activate the trailing of long trade using EMA. More information in methodology. Methodology The strategy opens long trade when the following price met the conditions: Short-term period CCI indicator shall be above 0. Long-term period CCI indicator shall be above 0. Price shall cross the HMA and candle close above it with the same candle When long trade is executed, strategy set the stop-loss level at the price ATR multiplied by user-given value below the entry price. This level is recalculated on every next candle close, adjusting to the current market volatility. At the same time strategy set up the trailing stop validation level. When the price crosses the level equals entry price plus ATR multiplied by user-given value script starts to trail the price with EMA. If price closes below EMA long trade is closed. When the trailing starts, script prints the label “Trailing Activated”. Strategy settings In the inputs window user can setup the following strategy settings: ATR Stop Loss (by default = 1.75) ATR Trailing Profit Activation Level (by default = 2.25) CCI Fast Length (by default = 25, used for calculation short term period CCI CCI Slow Length (by default = 50, used for calculation long term period CCI) Hull MA Length (by default = 34, period of HMA, which shall be broken to open trade) Trailing EMA Length (by default = 20) User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Before understanding why this particular combination of indicator has been chosen let's briefly explain what is CCI and HMA. The Commodity Channel Index (CCI) is a momentum-based technical indicator used in trading to measure a security's price relative to its average price over a given period. Developed by Donald Lambert in 1980, the CCI is primarily used to identify cyclical trends in a security, helping traders to spot potential buying or selling opportunities. The CCI formula is: CCI = (Typical Price − SMA) / (0.015 × Mean Deviation) Typical Price (TP): This is calculated as the average of the high, low, and closing prices for the period. Simple Moving Average (SMA): This is the average of the Typical Prices over a specific number of periods. Mean Deviation: This is the average of the absolute differences between the Typical Price and the SMA. The result is a value that typically fluctuates between +100 and -100, though it is not bounded and can go higher or lower depending on the price movement. The Hull Moving Average (HMA) is a type of moving average that was developed by Alan Hull to improve upon the traditional moving averages by reducing lag while maintaining smoothness. The goal of the HMA is to create an indicator that is both quick to respond to price changes and less prone to whipsaws (false signals). How the Hull Moving Average is Calculated? The Hull Moving Average is calculated using the following steps: Weighted Moving Average (WMA): The HMA starts by calculating the Weighted Moving Average (WMA) of the price data over a period square root of n (sqrt(n)) Speed Adjustment: A WMA is then calculated for half of the period n/2, and this is multiplied by 2 to give more weight to recent prices. Lag Reduction: The WMA of the full period n is subtracted from the doubled n/2 WMA. Final Smoothing: To smooth the result and reduce noise, a WMA is calculated for the square root of the period n. The formula can be represented as: HMA(n) = WMA(WMA(n/2) × 2 − WMA(n), sqrt(n)) The Weighted Moving Average (WMA) is a type of moving average that gives more weight to recent data points, making it more responsive to recent price changes than a Simple Moving Average (SMA). In a WMA, each data point within the selected period is multiplied by a weight, with the most recent data receiving the highest weight. The sum of these weighted values is then divided by the sum of the weights to produce the WMA. This strategy leverages HMA of user given period as a critical level which shall be broken to say that probability of trend change to the upside increased. HMA reacts faster than EMA or SMA to the price change, that’s why it increases chances to enter new trade earlier. Long-term period CCI helps to have an approximation of mid-term trend. If it’s above 0 the probability of uptrend increases. Short-period CCI allows to have an approximation of short-term trend reversal from down to uptrend. This approach increases chances to have a long trade setup in the direction of mid-term trend when the short-term trend starts to reverse. ATR is used to adjust the strategy risk management to the current market volatility. If volatility is low, we don’t need the large stop loss to understand the there is a high probability that we made a mistake opening the trade. User can setup the settings ATR Stop Loss and ATR Trailing Profit Activation Level to realize his own risk to reward preferences, but the unique feature of a strategy is that after reaching trailing profit activation level strategy is trying to follow the trend until it is likely to be finished instead of using fixed risk management settings. It allows sometimes to be involved in the large movements. It’s also important to make a note, that script uses HMA to enter the trade, but for trailing it leverages EMA. It’s used because EMA has no such fast reaction to price move which increases probability not to be stopped out from any significant uptrend move. Backtest Results Operating window: Date range of backtests is 2022.07.01 - 2024.08.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 100% Maximum Single Position Loss: -4.67% Maximum Single Profit: +19.66% Net Profit: +14897.94 USDT (+148.98%) Total Trades: 104 (36.54% win rate) Profit Factor: 2.312 Maximum Accumulated Loss: 1302.66 USDT (-9.58%) Average Profit per Trade: 143.25 USDT (+0.96%) Average Trade Duration: 34 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 2h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Pine Script® strategy
by Skyrexio
Trend Indicator with RSI and Fibbonacci Band 0.702 crossingsToday we have a new Indicator set, which I created using inspiration from the Trend Magic Indicator from KivancOzbilgic and adding several new aspects to it and a slightly modified calculation of the trend indicator itself. You can change the inputs by changing the pre set values in the settings, but I found the current settings quite accurate. Feel free to experiment to fine tune the indicators. Here are the details of the script: Trend indicated within candles and as a line - bullish and bearish trends are now also indicated within the candle based on the CCI calculation. - Bullish is indicated by a green circle below the candle or as one may call it a "dot" - bearish trend is indicated by a red circle above the candle Entry Signal based on RSI crossing its EMA - my motivation was to have a clearer entry signal besides highlighting a trend, which can not really be used to identify a good entry but to give confidence or when loosing trend to give an exit signal. - after studiying the RSI and how it works together with its EMA it looks quite interesting as an entry or exit signal. But be cautios if the EMA and RSI values are moving in a narrow area we get a lot of crosses and therefore signals which should rather be ignored rather to be act on. So the the range where the cross happens is also quite important. But this aspect is not yet reflected as a rule/ logic. But I am thinking of adding something.. or alternativly best to switch to another timeframe to get some better data RSI overbought and oversold as Diamonds - I also added key indications of oversold or overbought as Blue and Pink diamonds, can be considered as additional information to maybe identify a short term top or bottom.. but its not very accurate. Entry signal based on crossing Fibbonachi Band 0.702 - So far the 0.702 seems to be quite an interesting retracement level which seems to be met a lot of times - based on the assumption the price will evantually hit the 0.702 either direction I wanted to get a signal when this happens - BUT! a big but, unfortunalty the Fibbonachi bands tend to bloat up in case of high volatility so it is not easy to find the crossing on higher timeframes Here are the standard value which I found quite accurate for the assets I use this indicator set: CCI Period = 5 ATR Multiplier = 1 ATR Period = 1 Source = High Low Close (hlc3 average value of the candle Here the inputs used for the RSI Crossing signal (here you should play around a little to see which entry would have been best..) RSI Length = 14 RSI Oversold = 25 (to be used for the "golden" entry signal based on the FBB crossing) RSI Overbought = 80 (to be used for the "golden" entry signal based on the FBB crossing) RSI Moving Average Length In future versions I will add options to activate or deactive some of the plotting and espacially this golden dot when the fibbonachi band is being crossed needs some fine tuning.. And lets see if there is a way to fix the bloating of those bands..
Pine Script® indicator
by blublub
4