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The Blessed Trader Ph. | Double EMA + RSI (20) Strategy v1.0📊 The Blessed Trader Ph. Double EMA + RSI (20) Strategy — v1.0 1️⃣ Strategy Overview This is a trend-following breakout strategy designed to: Catch strong directional moves Filter out weak trades using momentum confirmation Control risk with ATR-based stop-loss and take-profit It works best in trending markets such as: Crypto (BTC, ETH, altcoins) Forex (major & minor pairs) Indices (NAS100, US30, SPX) 2️⃣ Indicators Used 🔹 Double EMA Channel EMA 20 High → Dynamic resistance EMA 20 Low → Dynamic support These two EMAs create a price channel: Break above → bullish strength Break below → bearish weakness Unlike a single EMA on close, using High & Low EMAs helps: Reduce fake breakouts Confirm real price expansion 🔹 RSI (20) Measures momentum strength RSI > 50 → bullish momentum RSI < 50 → bearish momentum RSI is used only as a filter, not as an overbought/oversold signal. 🔹 ATR (14) Measures market volatility Used to calculate: Stop Loss (1.5 × ATR) Take Profit (3.0 × ATR) This makes the strategy: Adaptive to any market Effective across timeframes 3️⃣ Trade Rules (Very Important) ✅ BUY (LONG) Conditions A buy trade is opened only when all conditions are met: Price closes above EMA 20 High RSI (20) is above 50 Candle is confirmed (bar close) ➡️ This means: “Price has broken resistance with strong momentum.” ❌ SELL / EXIT Conditions The long trade is closed when: Price closes below EMA 20 Low RSI (20) is below 50 ➡️ This signals: “Trend strength is weakening or reversing.” 🛑 Stop Loss & 🎯 Take Profit Stop Loss = Entry − (ATR × 1.5) Take Profit = Entry + (ATR × 3.0) Risk–Reward ≈ 1 : 2 This protects capital and lets winners run. 4️⃣ Why This Strategy Works ✔ Trades with the trend ✔ Avoids ranging markets ✔ Uses confirmation, not prediction ✔ Non-repainting (bar close only) ✔ Works on any timeframe 5️⃣ 🔥 Why Heikin Ashi Candles Improve Results What are Heikin Ashi candles? Heikin Ashi candles smooth price action by averaging price data instead of using raw OHLC values. Benefits for THIS strategy: ✅ 1. Cleaner Trend Detection Fewer false EMA breakouts Smoother closes above EMA High Stronger continuation signals ✅ 2. Reduced Whipsaws RSI stays more stable Fewer fake buy signals during consolidation ✅ 3. Better Trade Holding Keeps you in trends longer Avoids early exits caused by noise 6️⃣ How to Use Heikin Ashi with This Strategy On TradingView: Open your chart Click Candles Select Heikin Ashi Apply the strategy 📌 Important Tip EMAs & RSI will now be calculated using Heikin Ashi data This is ideal for trend-following, not scalping ranges 7️⃣ Best Settings & Recommendations ⏱ Timeframes 5m / 15m → Crypto & Forex intraday 1H / 4H → Swing trading Daily → Position trading 📈 Market Conditions Best in strong trends Avoid low-volatility ranges 🎯 Pro Tip Combine with: Higher-timeframe trend bias Session filter (London / New York) Volume confirmation 8️⃣ Final Advice from 🙏 The Blessed Trader Ph. “This strategy doesn’t predict — it confirms. Be patient. Wait for clean Heikin Ashi closes. Trade less, but trade better.”
Pine Script® Strategie
von Blessed_Trader22
SMC BOS Strategy 1:1 RRThe SMC BOS Strategy 1:1 RR is a Smart Money Concepts–based trading strategy designed to capture high-probability market continuation moves after a Break of Structure (BOS). It focuses on trading in the direction of institutional momentum with clear risk control. 📌 Core Concept Markets move in structure (higher highs & higher lows in an uptrend, lower highs & lower lows in a downtrend). A Break of Structure (BOS) occurs when price closes beyond a previous swing high or swing low, signaling that smart money may be pushing price in a new or continued direction. ⚙️ Strategy Rules 1️⃣ Market Structure Identification Swing highs and swing lows define key structure levels. These levels act as institutional decision points. 2️⃣ Break of Structure (BOS) Bullish BOS: Price closes above the previous structure high. Bearish BOS: Price closes below the previous structure low. 3️⃣ Trade Entry Buy after a bullish BOS. Sell after a bearish BOS. Entry is taken at the close of the BOS candle. 4️⃣ Risk Management (1:1 RR) Stop Loss (SL): Long trades → below previous structure low. Short trades → above previous structure high. Take Profit (TP): Set equal to the stop-loss distance (1:1 risk–reward). 📊 Why 1:1 Risk–Reward? Ensures high win-rate focus. Suitable for scalping and intraday trading. Protects capital with consistent, controlled risk. ✅ Key Advantages ✔ Clear and objective rules ✔ Institutional price-action logic (SMC) ✔ Automatic stop loss & take profit ✔ Works on Forex, Gold, Crypto, Indices ✔ Easy to backtest and optimize
Pine Script® Strategie
von QAZIFXTRADER
ETH Dynamic Risk Strategy# ETH Dynamic Risk Strategy - Publication Description ## Overview The ETH Dynamic Risk Strategy is a systematic approach to accumulating Ethereum during bear markets and distributing during bull markets. It combines multiple risk indicators into a single composite metric (0-1 scale) that identifies optimal buying and selling zones based on market conditions. ## Key Features • **Multi-Component Risk Metric**: Combines 4 weighted indicators to assess market conditions • **Tiered Buy/Sell System**: 3 levels of buy signals (L1, L2, L3) and 3 levels of sell signals based on risk thresholds • **Configurable Filters**: Optional buy filters to reduce signal frequency by 30-50% • **Visual Risk Zones**: Color-coded risk metric plot with clear threshold lines • **Comprehensive Dashboard**: Real-time statistics including position size, P/L, and component scores ## How It Works ### Risk Components (Configurable Weights) 1. **Log Return from ATH** (Default: 35%) - Tracks drawdown from all-time high over lookback period - Deep drawdowns (-70% to -90%) = low risk / buying opportunity - Near ATH (0% to -20%) = high risk / selling opportunity 2. **ETH/BTC Ratio** (Default: 25%) - Measures ETH strength relative to Bitcoin - Below historical average = ETH undervalued = low risk - Above historical average = ETH overvalued = high risk 3. **Volatility Regime** (Default: 20%) - Compares current volatility to long-term average - Compressed volatility at lows = opportunity - Expanded volatility at highs = danger 4. **Trend Strength** (Default: 20%) - Uses multiple EMA alignment and slope analysis - Strong downtrends = low risk scores - Strong uptrends = high risk scores ### Trading Logic **Buy Signals:** - L1: Risk ≤ 0.30 → Buy $100 (default) - L2: Risk ≤ 0.20 → Buy $250 total - L3: Risk ≤ 0.10 → Buy $450 total **Sell Signals (Sequential):** - L1: Risk ≥ 0.75 → Sell 25% of position - L2: Risk ≥ 0.85 → Sell 35% of remaining - L3: Risk ≥ 0.95 → Sell 40% of remaining **Buy Filters (Optional):** - Minimum days between buys (prevents clustering) - Minimum risk drop required (ensures falling risk) - Toggle on/off to compare performance ## Settings Guide ### Risk Components Toggle individual components on/off and adjust their weights. Total weight is automatically normalized. Experiment with different combinations to match your market view. ### Advanced Settings - ATH Lookback: How far back to look for all-time highs (500-2000 recommended) - Volatility Period: Window for volatility calculations (40-100 recommended) - ETH/BTC MA Period: Moving average for ratio comparison (100-300 recommended) - Trend Period: Base period for trend calculations (50-150 recommended) ### Trading Thresholds Customize buy/sell trigger points and position sizes. Lower buy thresholds = more aggressive accumulation. Higher sell thresholds = holding longer into bull markets. ### Buy Filters - Enable/disable filtering system - Min Days Between Buys: Spacing between purchases (1-3 recommended) - Min Risk Drop: How much risk must fall (-0.001 to -0.01 range) ## Best Practices • **Timeframe**: Works best on daily (1D) and 3-day (3D) charts • **Initial Capital**: Set based on your DCA budget (default $10,000) • **Backtest First**: Test different parameter combinations on historical data • **Position Sizing**: Adjust buy amounts to match your risk tolerance • **Monitor Filters**: Check "Filtered Buys" stat to ensure filter isn't too strict ## Use Cases - Long-term ETH accumulation strategy - Systematic DCA with market-adaptive buying - Risk-based portfolio rebalancing - Educational tool for understanding crypto market cycles ## Disclaimer This strategy is for educational purposes only. Past performance does not guarantee future results. Cryptocurrency trading involves substantial risk. The strategy uses historical price action and technical indicators which may not predict future movements. Always do your own research and never invest more than you can afford to lose. ## Credits Strategy concept and development by nakphanan with assistance from Claude AI (Anthropic). Built using Pine Script v5....Mostly from Claude AI!!! ## Version History v7.0 - Initial release with 4-component risk metric, tiered trading system, and optional buy filters
Pine Script® Strategie
von nakphanan
2
EMA 1 & SALMA Intersection StrategyTrading Strategy: EMA 1 & SALMA Crossover System This strategy is a Trend-Following system that focuses on the direct interaction between the price (represented by EMA 1) and a smoothed trendline (SALMA). Instead of relying on the color changes of the indicator, it uses mechanical crossover signals to enter and exit trades. 1. Indicators Used EMA 1 (Exponential Moving Average): Since the period is 1, it effectively represents the Current Price. It reacts instantly to every market move. SALMA v3.0 (Smoothed Adaptive Lattice Moving Average): A double-smoothed moving average that acts as the "Base Line" or "Trend Support/Resistance." RSI (Relative Strength Index): Used as a Momentum Filter to ensure we don't trade against the market's strength. 2. Buy (Long) Entry Rules You enter a Long position when the following conditions are met: The Crossover: The EMA 1 (Price) crosses ABOVE the SALMA line. This indicates that the short-term momentum is shifting higher than the average trend. The Filter (RSI): The RSI must be above 50. This confirms that the buyers are in control and the upward move has enough strength. 3. Sell (Short) Entry Rules You enter a Short position when the following conditions are met: The Crossunder: The EMA 1 (Price) crosses BELOW the SALMA line. This indicates a breakdown in price action. The Filter (RSI): The RSI must be below 50. This confirms that the sellers are dominating and the downward momentum is real. 4. Key Advantages of This System Objectivity: You don't guess based on the color of the line; you wait for a clear physical break (cross) of the line. Precision: By using EMA 1, you get the earliest possible entry signal compared to slower moving averages. False Signal Protection: The RSI 50 filter prevents you from entering "weak" trades where the price crosses the line but lacks the volume or momentum to continue.
Pine Script® Strategie
von Oguzbey07
Trend Pulse Channel StrategyOverview Trend Pulse Channel Strategy is a long-only trend-following breakout strategy built around an adaptive multi-pole smoothing filter and a volatility-adjusted price channel. The strategy is designed to participate in sustained directional moves by entering only when price confirms momentum strength beyond a dynamic upper boundary, while avoiding mean-reversion and low-quality consolidation phases. This script is published as a strategy and includes realistic backtesting assumptions for position sizing, commissions, and slippage. Core Concept At the heart of the strategy is a multi-pole adaptive EMA-based filter, inspired by advanced digital signal smoothing techniques. Using multiple poles allows the filter to reduce noise while preserving responsiveness to genuine trend changes. To adapt the channel width to changing market conditions, the strategy applies the same filtering logic to True Range, producing a volatility-aware envelope rather than a static or fixed-percentage band. This combination allows the strategy to: Track directional bias using a smoothed central filter Adjust channel width dynamically based on market volatility Trigger entries only when price expansion confirms trend strength Entry Logic A long position is opened when: Price crosses above the upper channel band The signal occurs within the user-defined date range This condition represents a volatility-confirmed breakout aligned with the prevailing directional filter. Exit Logic The long position is closed when: Price crosses back below the upper band This exit logic aims to stay in trending moves while exiting when upside momentum weakens. The strategy does not open short positions by design. Inputs and Defaults The default inputs are selected to balance smoothness, responsiveness, and stability: Source (HLC3): Reduces single-price noise by averaging high, low, and close Period (144): Defines the primary smoothing horizon of the adaptive filter Poles (4): Controls the smoothness vs. responsiveness trade-off Range Multiplier (1.414): Scales the volatility envelope using filtered True Range Reduced Lag (optional): Applies lag compensation to improve responsiveness Fast Response (optional): Blends multi-pole and single-pole filters for quicker reaction at the cost of smoothness All inputs are fully configurable and can be adjusted to suit different instruments and timeframes. Risk Management & Position Sizing The strategy uses: Position size: 10% of equity per trade No pyramiding Long positions only This sizing approach is intended to reflect sustainable risk exposure rather than aggressive capital deployment. Users may further adjust position size based on their own risk tolerance. Backtesting Assumptions The strategy is tested using : Initial capital: 10,000 Commission: 0.1% Slippage: 1 tick Order fill model: Standard OHLC These settings are chosen to provide more realistic performance estimates compared to idealized backtests. This strategy is best suited for : Trend-oriented markets Higher timeframes where breakouts are more reliable Users seeking systematic trend participation rather than frequent scalping In sideways or range-bound market conditions, price may cross the channel boundaries frequently. This can result in a higher number of entry and exit signals that do not develop into sustained trends. For this reason, the strategy should be used with an understanding of basic technical analysis concepts, including market structure, trend identification, and consolidation behavior. It is intended as a decision-support tool, not a standalone trading system. Users—whether beginners or experienced traders—should avoid relying solely on this strategy and are encouraged to combine it with broader market context and additional analysis methods. Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice. Past performance does not guarantee future results.
Pine Script® Strategie
von ADXAE
9 EMA Trend-Flow StrategyThis strategy avoids trading inside the noise and waits for Bitcoin to "coil up" before exploding. 1. Chart Setup Timeframe: 5 Minutes Bollinger Bands: Length 20, Standard Deviation 2 (Default). RSI (Relative Strength Index): Length 14. EMA (Exponential Moving Average): Length 200 (Trend Filter). 2. The Rules Long Setup (Buy) The Trend Filter: Price must be above the 200 EMA. The Squeeze: The Bollinger Bands must visually contract (narrow), indicating volatility is dying down. The Trigger: A 5m candle closes strongly above the Upper Bollinger Band. Confirmation: RSI must be rising and above 50 (but ideally not yet "pegged" at 90+). Short Setup (Sell) The Trend Filter: Price must be below the 200 EMA. The Squeeze: The Bollinger Bands contract. The Trigger: A 5m candle closes strongly below the Lower Bollinger Band. Confirmation: RSI must be falling and below 50. Execution Guide Entry Technique Don't enter immediately when the candle touches the band. Wait for the candle close. Why? Bitcoin frequently "wicks" through bands to trap traders (fakeouts) before reversing. A solid close outside the band confirms momentum. Exit Strategy (Take Profit) Target 1 (Conservative): Close 50% of the position when price expands to a fixed risk-reward ratio (e.g., 1.5R). Target 2 (Runner): Keep the remaining position open as long as price "walks the band" (stays outside or touching the outer band). Close the rest when a candle finally closes back inside the Bollinger Bands. Stop Loss Placement: Place your Stop Loss (SL) slightly below the Middle Band (the 20 SMA) at the time of entry. Trailing: As the price moves in your favor, move your SL to trail the Middle Band.
Pine Script® Strategie
von esshka
Estrategia Trend Following: 52w/26w BreakoutThis is a classic long-term Trend Following strategy, heavily inspired by the Donchian Channel system and the legendary "Turtle Trading" rules. It is designed to capture major market moves (bull runs) while filtering out short-term market noise and volatility. This script is ideal for investors and swing traders who prefer a "hands-off" approach, looking to catch large trends rather than day-trading small fluctuations. How it Works: 1. Entry Condition (The Breakout): 52-Week High: The strategy enters a Long position when the price breaks above the highest high of the last 252 trading days (approx. 1 year). SuperTrend Filter: An additional filter using the SuperTrend indicator ensures that the breakout is supported by positive momentum, helping to reduce false signals during choppy lateral markets. 2. Exit Condition (The Trailing Stop): 26-Week Low: The strategy ignores short-term corrections. It only closes the position if the price closes below the lowest low of the last 126 trading days (approx. 6 months). This wide stop allows the trade to "breathe" and stay open during significant pullbacks, ensuring you stay in the trend for as long as possible. Features & Settings: Customizable Lookback Periods: You can adjust the Entry (default 252 days) and Exit (default 126 days) periods in the settings menu. Visual Aids: Blue Line: Represents the 1-Year High (Entry Threshold). Red Line: Represents the 6-Month Low (Dynamic Stop Loss). Channel Shading: Visualizes the trading range between the high and low. Labels: Clearly marks "BUY" and "EXIT" points on the chart. Recommended Usage: Timeframe: Daily (1D). This logic is designed for daily candles. Assets: Works best on assets with strong trending characteristics (e.g., Bitcoin/Crypto, Tech Stocks, Indices like SPX/NDX, and Commodities). Patience Required: This strategy generates very few signals. It may stay quiet for months and then hold a position for over a year.
Pine Script® Strategie
von MrOskama
Mean Reversion — BB + Z-Score + RSI + EMA200 (TP at Opposite Z)This is a systematic mean-reversion framework for index futures and other liquid assets. This strategy combines Bollinger Bands, Z-Score dislocation, RSI extremes, and a trend-filtering EMA200 to capture short-term mean-reversion inefficiencies in NQ1!. It is designed for high-volatility conditions and uses a precise exit model based on opposite-side Z-Score targets and dynamic mid-band failure detection. 🔍 Entry Logic (Mean Reversion) : The strategy enters trades only when multiple confluence signals align: Long Setup Price at or below the lower Bollinger Band Z-Score ≤ –Threshold (deep statistical deviation) RSI ≤ oversold level Price below the EMA-200 (countertrend mean-reversion only) Cooldown must be completed No open position Short Setup Price at or above the upper Bollinger Band Z-Score ≥ Threshold RSI ≥ overbought level Price above the EMA-200 Cooldown complete No open position This multi-signal gate filters out weak reversions and focuses on mature dislocations. 🎯 Take-Profit Model: Opposite-Side Z-Score Target : Once in a trade, take-profit is set by solving for the price where the Z-Score reaches the opposite side: Long TP = Z = +Threshold Short TP = Z = –Threshold This creates a symmetric statistical exit based on reverting to equilibrium plus overshoot. 🛡️ Stop-Loss System (Volatility-Aware) : Stop losses combine: A fixed base stop (points) A standard-deviation volatility component This adapts the SL to regime changes and avoids being shaken out during rare volatility spikes. ⏳ Half-Life Exit : If a trade has not reverted within a fixed number of bars, it automatically closes. This prevents “mean-reversion traps” during trending periods. 📉 Advanced Mid-Band Exit Logic (BB Basis Failure) : This is the unique feature of the system. After entry: Wait for price to cross the Bollinger Basis (middle band) in the direction of the mean. Start a 5-bar delay timer. After 5 bars, the strategy becomes “armed.” Once armed: If price fails back through the mean, exit immediately. Intrabar exits trigger precisely (with tick-level precision if Bar Magnifier is enabled). This protects profits and exits trades at the first sign of mean-failure. ⏱️ Cooldown System : After each closed trade, a cooldown period prevents immediate re-entry. This avoids clustering and improves statistical independence of trades. 🖥️ What This Strategy Is Best For : High-volatility intraday NQ conditions Statistical mean reversion with structured confluence Traders who want clean, rule-based entries Avoiding trend-day traps using EMA and half-life logic 📊 Included Visual Elements : Bollinger Bands (Upper, Basis, Lower) BUY/SELL markers at signal generation Optional alerts for automated monitoring 🚀 Summary : This is a precision mean-reversion system built around volatility bands, statistical dislocation, and price-behavior confirmation. By combining Z-Score, RSI, EMA200 filtering, and a sophisticated mid-band failure exit, this model captures high-probability reversions while avoiding the common pitfalls of naive band-touch systems.
Pine Script® Strategie
von spyqdia