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BTC/USD Gaussian Channel 1 Day Chart - Foneysmiles v1.0 Cryptocurrency trading strategy specifically designed for BTC/USD on a daily timeframe. Strategy Framework: Initial capital: $10,000 Position size: 60% of equity per trade Commission: 0.1% Slippage: 4 points Time range: From January 2018 to end of 2069 (effectively no end date) Gaussian Channel: The primary technical indicator that creates an adaptive channel around price Uses a complex Gaussian filter with customizable poles (default 4) Sampling period of 144 days True Range multiplier of 1.414 Options for reduced lag and fast response modes Price source defaults to HLC3 (High + Low + Close / 3) Stochastic RSI with: RSI length: 21 periods Stochastic length: 200 periods K smoothing: 1 period D smoothing: 4 periods Entry Conditions: A long position is entered when ALL of these conditions are met: The Gaussian filter is trending up (finalFilter > finalFilter ) Price is above the upper Gaussian channel band (close > hband) Stochastic RSI is in extreme territory (k > 80 or k < 20) Within the specified date range Exit Conditions: Positions are closed when price crosses below the upper band of the Gaussian channel The visualization includes: A color-coded Gaussian filter line (green when rising, red when falling) Upper and lower bands forming a channel The channel is filled with a semi-transparent version of the same color This is a trend-following strategy that aims to catch strong upward moves in Bitcoin while using the Stochastic RSI as an additional filter. The strategy only takes long positions and doesn't include any short trades. foneysmiles@gmail.com if you have any questions or have other use cases
Strategi Pine Script™
oleh foneysmiles
MI-Advanced Long/Short StrategyAdvanced Multi-Indicator Trading Strategy Combining Trend Following, Momentum Confirmation & Risk Management This sophisticated trading strategy is designed to identify high-probability long/short opportunities using a confluence of technical indicators while maintaining strict risk control. It combines trend analysis, momentum confirmation, and volume-based validation to generate clear buy/sell signals across various markets and timeframes. Core Components Trend Identification Engine Dual EMA System (12/26 periods): Bullish bias when 12-EMA > 26-EMA Bearish bias when 12-EMA < 26-EMA Supertrend Indicator: Dynamic trend filter using price volatility Green line = Bullish trend (longs enabled) Red line = Bearish trend (shorts enabled) Momentum Confirmation MACD Histogram: Bullish crossover (signal line cross) for entries Bearish crossover for exits/reversals RSI Threshold: 50-level as momentum baseline Longs only when RSI > 50 Shorts only when RSI < 50 Volume Validation 20-period volume moving average Entry requires 150%+ volume spike Filters low-confidence moves Risk Management Framework ATR-Based Stops: 2x ATR (14-period) stop loss 3x ATR take profit (1:1.5 RR ratio) Position Sizing: Percentage-based equity management Built-in commission calculation Signal Generation Logic Long Entry Conditions (All Must Be True): 12-EMA crosses above 26-EMA MACD line crosses above signal line RSI sustains above 50 level Price above Supertrend line (green) Volume spike confirmation Short Entry Conditions (All Must Be True): 12-EMA crosses below 26-EMA MACD line crosses below signal line RSI holds below 50 level Price below Supertrend line (red) Volume spike confirmation Exit Conditions: Trailing stop via Supertrend reversal EMA crossover in opposite direction RSI crossing 50 threshold Automatic profit targets/stops Key Features Multi-Timeframe Compatibility: Works on 1M-1D charts Visual Clarity: Colored EMA ribbons for trend direction Label-based buy/sell markers Supertrend overlay for real-time guidance Alert System: Built-in buy/sell alert conditions Compatible with email/SMS notifications Adaptive Risk: Dynamic stop-loss adjustment Position sizing relative to account equity False Signal Filter: Volume spike requirement Triple confirmation (trend+momentum+volume) Strategic Advantages Trend-Riding Capability: Captures sustained moves via Supertrend/EMA combo Avoids choppy markets through volume filters Confirmation Hierarchy: Primary Trend: EMA crossover Secondary Confirmation: MACD/RSI Tertiary Validation: Volume/Supertrend Risk-Controlled Execution: Automatic stop-loss placement Fixed risk/reward ratio enforcement Commission-aware backtesting Visual Trading Psychology: Clear color-coded indicators reduce emotional trading Objective entry/exit rules eliminate guesswork Ideal Market Conditions Best Performing: Trending markets (up/down) Avoid During: Low-volume periods Consolidation/ranging markets Major news events Practical Usage Tips Combine with higher timeframe analysis Adjust ATR multiplier for volatile assets Modify volume threshold for liquid markets Use trailing stops for extended trends Pair with fundamental catalysts for swing trades This strategy provides a systematic approach to trading by combining technical analysis with disciplined risk management. Its multi-layered confirmation process aims to filter out market noise while capturing high-quality setups, making it suitable for both discretionary traders and automated trading systems.
Strategi Pine Script™
oleh ilyasmy
MA Crossover with Demand/Supply Zones + Stop Loss/Take ProfitStop Loss and Take Profit Inputs: Added stopLossPerc and takeProfitPerc as inputs to allow the user to define the stop loss and take profit levels as a percentage of the entry price. Stop Loss and Take Profit Calculation: For long positions, the stop loss is calculated as strategy.position_avg_price * (1 - stopLossPerc), and the take profit is calculated as strategy.position_avg_price * (1 + takeProfitPerc). For short positions, the stop loss is calculated as strategy.position_avg_price * (1 + stopLossPerc), and the take profit is calculated as strategy.position_avg_price * (1 - takeProfitPerc). Exit Strategy: Added strategy.exit to define the stop loss and take profit levels for each trade. The from_entry parameter ensures that the exit is tied to the specific entry order. Flexibility: The stop loss and take profit levels are dynamic and adjust based on the entry price of the trade. How It Works: When a buy signal is generated (MA crossover near a demand zone), the strategy enters a long position and sets a stop loss and take profit level based on the input percentages. When a sell signal is generated (MA crossunder near a supply zone), the strategy enters a short position and sets a stop loss and take profit level based on the input percentages. The trade will exit automatically if either the stop loss or take profit level is hit. Example: If the entry price for a long position is $100, and the stop loss is set to 1% while the take profit is set to 2%: Stop loss level = 100 ∗ ( 1 − 0.01 ) = 100∗(1−0.01)=99 Take profit level = 100 ∗ ( 1 + 0.02 ) = 100∗(1+0.02)=102 Notes: You can adjust the stopLossPerc and takeProfitPerc inputs to suit your risk management preferences. Always backtest the strategy to ensure the stop loss and take profit levels are appropriate for your trading instrument and timeframe.
Strategi Pine Script™
oleh Saifinayat
ZigZag + Fractals + SAR / Owl of ProfitZigZag + Fractals + SAR Strategy This strategy combines ZigZag, Fractals, and Parabolic SAR to provide robust trading signals, ideal for identifying trend reversals and trade entries Features ZigZag Tracks trend changes using defined depth and deviation parameters Identifies "High" and "Low" pivots for trend movements Fractals Captures local highs (Fractal Up) and lows (Fractal Down), serving as potential reversal points Parabolic SAR Generates entry and exit signals based on price and SAR crossovers Strategy Conditions Long Price crosses above SAR (SAR shifts below price) ZigZag indicates an uptrend A fractal down appears Short Price crosses below SAR (SAR shifts above price) ZigZag indicates a downtrend A fractal up appears Exit Logic Exit Long SAR crosses above price Exit Short SAR crosses below price Customization ZigZag Parameters Depth: 5 candles Deviation: 5% Parabolic SAR Start: 0.02, Max: 0.2, Increment: 0.02 Option to visualize Fractals and SAR on the chart This strategy is suitable for both short-term and long-term trades, allowing flexible customization for different market conditions Visit my website for more tools and strategies bybitindicators.com Happy trading!
Strategi Pine Script™
oleh Owl_of_Profit
Yash Zones Strategy v6Modern strategy declaration syntax Proper commission settings barmerge.gaps_off for security calls Color management with color.new() Null-coalescing operator (?:) removed in favor of ternary Cleaner position sizing calculation Improved visual plotting syntax Full TypeScript-style type safety Enhanced error handling for edge cases Strategy Features: Complete backtesting capability Real-time trading alerts Automatic position sizing Trailing stop functionality Multi-timeframe confirmation Volume liquidity filters Professional risk management parameters Clear visual signal markers This version includes all the latest Pine Script v6 features while maintaining the original Yash logic with enhanced reliability and performance.
Strategi Pine Script™
oleh Yashanalyze
EMA DSWThis Pine Script indicator implements a trading strategy based on the crossover of 5-period and 9-period Exponential Moving Averages (EMA). It generates entry signals when the 5 EMA crosses above the 9 EMA, and exit signals when the 5 EMA crosses below the 9 EMA. The script also calculates and displays stop-loss and target levels for each trade. Users can customize the EMA periods, stop-loss percentage, and target percentage through input parameters. The indicator plots the EMAs on the chart and displays entry and exit markers for visual reference
Strategi Pine Script™
oleh iotclub2018
Wave Trend Oscillator (LazyBear) / Owl of Profit remakeWave Trend Oscillator Strategy (by LazyBear) This strategy leverages the powerful WaveTrend Oscillator developed by LazyBear to identify overbought and oversold market conditions, providing dynamic signals for trend-based trading. Features WaveTrend Oscillator (WT): Calculates two smoothed WaveTrend lines (WT1 and WT2) for visualizing momentum. Uses channel and average lengths to adjust sensitivity. Overbought/Oversold Levels: Predefined levels for detecting extreme price conditions: Overbought: 60, 53. Oversold: -60, -53. Fully customizable levels to match different trading preferences. Color-Coded Visualization: WT1 (green) and WT2 (red) show smoothed momentum oscillations. Area between WT1 and WT2 filled in blue for additional clarity. Strategy Logic Long Entry Condition: WT1 crosses above WT2, indicating a bullish reversal. WT1 is below the Oversold Level (-60) during the crossover. Short Entry Condition: WT1 crosses below WT2, signaling a bearish reversal. WT1 is above the Overbought Level (60) during the crossover. Exit Logic: Positions are automatically closed based on opposing signals. Customization Oscillator Lengths: Channel Length (n1): Default 10. Average Length (n2): Default 21. Overbought/Oversold Levels: Default Levels: 60 (Overbought), -60 (Oversold). Optional secondary levels for finer adjustments. Visual Enhancements: Overlay the oscillator with additional chart elements for trend confirmation. This strategy is ideal for traders looking to combine momentum analysis with overbought/oversold signals, ensuring precise entries and exits in trending markets. Visit my website for more tools and strategies: bybitindicators.com Happy Trading! 😊
Strategi Pine Script™
oleh Owl_of_Profit
G-Channel Trend Detection (jaggedsoft) / Owl of Profit remakeG-Channel Trend Detection Strategy (by jaggedsoft) Special thanks to jaggedsoft and AlexGrover for the original concept and inspiration for this strategy. This strategy leverages G-Channels for efficient trend detection by calculating the upper and lower extremities, providing dynamic signals for trend-based trading. Features G-Channels: Calculates upper (a) and lower (b) bounds of price movement over a specified length. Dynamic calculation adjusts with each bar, forming an average line (avg) for trend analysis. Signal Detection: Bullish Signal: When close moves above the lower bound. Bearish Signal: When close moves below the upper bound. Color-Coded Visualization: Green (lime) for bullish trends. Red for bearish trends. Fills the area between the average line and the close price with trend-aligned colors for better visual clarity. Entry and Exit Logic Long Entry: Triggered when a bullish trend starts. Short Entry: Triggered when a bearish trend starts. Exit Logic: Positions are automatically exited based on trend reversals. Customization Length Parameter: Default: 100 bars. Adjust to fit different timeframes and trading styles. Cross Markers: Optional cross markers for buy and sell signals can be toggled on/off for additional clarity. This strategy is ideal for traders looking to capitalize on dynamic trend movements while maintaining visual clarity of market conditions. Visit my website for more tools and strategies: bybitindicators.com Happy trading!
Strategi Pine Script™
oleh Owl_of_Profit
Donchian Trend Ribbon (LonesomeTheBlue) / Owl of Profit remakeDonchian Trend Ribbon Strategy (by LonesomeTheBlue) Special thanks to LonesomeTheBlue for the original concept and inspiration for this strategy. This strategy leverages the Donchian Channel to determine both the main market trend and local trends. The result is a visually appealing trend ribbon, providing clear entry and exit signals based on trend alignment. Features Donchian Channel: A classic indicator that tracks the highest high and lowest low over a specified period. Main Trend: Determines the overall market direction based on price relative to the Donchian Channel. Local Trend: Identifies smaller, shorter-term trends within the main trend. Trend Ribbon Visualization: Green shades for uptrends, red shades for downtrends. Lighter colors indicate local trends opposing the main trend, while darker colors show alignment. Entry and Exit Logic Long Entry: When the main trend indicates an uptrend. Short Entry: When the main trend indicates a downtrend. Exit Logic: Positions are closed when the trend reverses (i.e., a switch from an uptrend to a downtrend or vice versa). Visualization Trend Ribbon: Multiple columns stacked to form a ribbon, with varying shades based on local and main trend alignment. Customization Donchian Channel Period: Default: 20 bars. Adjustable to fit different market conditions and timeframes. This strategy is perfect for traders looking for a trend-following approach with clear visual cues for market direction and entry/exit signals. Visit my website for more tools and strategies: bybitindicators.com Happy trading!
Strategi Pine Script™
oleh Owl_of_Profit
Crypto Strategy: Pattern Retest + EMA/RSI//@version=5 strategy("Crypto Strategy: Pattern Retest + EMA/RSI", overlay=true, margin_long=100, margin_short=100) // ~~~~~~~~~~~~~~ INPUTS ~~~~~~~~~~~~~~ emaLength = input.int(50, "EMA Length") rsiLength = input.int(14, "RSI Length") overbought = input(70, "RSI Overbought Level") oversold = input(30, "RSI Oversold Level") patternLookback = input.int(20, "Pattern Lookback") // ~~~~~~~~~~~~~~ INDICATORS ~~~~~~~~~~~~~~ ema = ta.ema(close, emaLength) rsi = ta.rsi(close, rsiLength) // ============== BULLISH PATTERN (Double Bottom Retest) ============== var float necklineBullish = na var bool breakoutBullish = false // Detect Double Bottom swingLow = ta.lowest(low, 5) swingLowPrev = ta.lowest(low, 5) swingHighBetween = ta.highest(high, 5) isDoubleBottom = swingLow >= swingLowPrev * 0.99 and swingLow <= swingLowPrev * 1.01 and swingHighBetween > swingLow // Update neckline on pattern detection if isDoubleBottom necklineBullish := swingHighBetween breakoutBullish := false // Breakout and Retest Logic breakoutBullish := close > necklineBullish and not breakoutBullish retestBullish = breakoutBullish and low <= necklineBullish and close > necklineBullish and rsi < oversold // ============== BEARISH PATTERN (Double Top Retest) ============== var float necklineBearish = na var bool breakoutBearish = false // Detect Double Top swingHigh = ta.highest(high, 5) swingHighPrev = ta.highest(high, 5) swingLowBetween = ta.lowest(low, 5) isDoubleTop = swingHigh <= swingHighPrev * 1.01 and swingHigh >= swingHighPrev * 0.99 and swingLowBetween < swingHigh // Update neckline on pattern detection if isDoubleTop necklineBearish := swingLowBetween breakoutBearish := false // Breakdown and Retest Logic breakoutBearish := close < necklineBearish and not breakoutBearish retestBearish = breakoutBearish and high >= necklineBearish and close < necklineBearish and rsi > overbought // ~~~~~~~~~~~~~~ BUY/SELL CONDITIONS ~~~~~~~~~~~~~~ // BUY Signal: Bullish retest OR EMA crossover + RSI oversold buyCondition = retestBullish or (ta.crossover(close, ema) and rsi < oversold) // SELL Signal: Bearish retest OR EMA crossunder + RSI overbought sellCondition = retestBearish or (ta.crossunder(close, ema) and rsi > overbought) // ~~~~~~~~~~~~~~ EXECUTE ORDERS ~~~~~~~~~~~~~~ if (buyCondition) strategy.entry("BUY", strategy.long) alert("BUY Signal: Price Retest + RSI/EMA Confirmation", alert.freq_once_per_bar) if (sellCondition) strategy.close("BUY") alert("SELL Signal: Price Retest + RSI/EMA Confirmation", alert.freq_once_per_bar) // ~~~~~~~~~~~~~~ PLOTTING ~~~~~~~~~~~~~~ plot(ema, "EMA", color=color.blue) plot(necklineBullish, "Bullish Neckline", color=color.green, linewidth=2) plot(necklineBearish, "Bearish Neckline", color=color.red, linewidth=2) // Plot BUY/SELL labels on chart plotshape(buyCondition, title="BUY", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellCondition, title="SELL", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
Strategi Pine Script™
oleh Nitinsinghkatoch
Nitin Strategy: Patterns + EMA/RSI Retest//@version=5 strategy("Crypto Strategy: Patterns + EMA/RSI Retest", overlay=true, initial_capital=1000, default_qty_type=strategy.percent_of_equity, default_qty_value=90) // Inputs emaLength = input.int(50, "EMA Length") rsiLength = input.int(14, "RSI Length") overbought = input(70, "RSI Overbought") oversold = input(30, "RSI Oversold") patternLookback = input.int(20, "Pattern Lookback") // Indicators ema = ta.ema(close, emaLength) rsi = ta.rsi(close, rsiLength) // 1. BULLISH PATTERN (Double Bottom + Retest) // ------------------------------------------- var float necklineBullish = na var bool breakoutBullish = false // Detect Double Bottom (two lows with a peak in between) swingLow = ta.lowest(low, 5) swingLowPrev = ta.lowest(low, 5) swingHighBetween = ta.highest(high, 5) isDoubleBottom = swingLow >= swingLowPrev * 0.99 and swingLow <= swingLowPrev * 1.01 and swingHighBetween > swingLow and swingHighBetween > swingLowPrev // Update neckline on pattern detection if isDoubleBottom necklineBullish := swingHighBetween breakoutBullish := false // Check breakout above neckline if not breakoutBullish and close > necklineBullish breakoutBullish := true // Retest after breakout (price returns to neckline and bounces) retestBullish = breakoutBullish and low <= necklineBullish and close > necklineBullish and rsi < oversold // 2. BEARISH PATTERN (Double Top + Retest) // ------------------------------------------- var float necklineBearish = na var bool breakoutBearish = false // Detect Double Top (two highs with a trough in between) swingHigh = ta.highest(high, 5) swingHighPrev = ta.highest(high, 5) swingLowBetween = ta.lowest(low, 5) isDoubleTop = swingHigh <= swingHighPrev * 1.01 and swingHigh >= swingHighPrev * 0.99 and swingLowBetween < swingHigh and swingLowBetween < swingHighPrev // Update neckline on pattern detection if isDoubleTop necklineBearish := swingLowBetween breakoutBearish := false // Check breakout below neckline if not breakoutBearish and close < necklineBearish breakoutBearish := true // Retest after breakout (price returns to neckline and rejects) retestBearish = breakoutBearish and high >= necklineBearish and close < necklineBearish and rsi > overbought // 3. EMA + RSI Conditions // ----------------------- emaBuy = ta.crossover(close, ema) and rsi < oversold emaSell = ta.crossunder(close, ema) and rsi > overbought // Final Buy/Sell Signals (Combine Retest & EMA/RSI) buySignal = retestBullish or emaBuy sellSignal = retestBearish or emaSell // Execute Orders strategy.entry("Buy", strategy.long, when=buySignal) strategy.close("Buy", when=sellSignal) // Plotting plot(ema, "EMA", color=color.blue) plot(necklineBullish, "Bullish Neckline", color=color.green, linewidth=2) plot(necklineBearish, "Bearish Neckline", color=color.red, linewidth=2) plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
Strategi Pine Script™
oleh Nitinsinghkatoch