یہ حکمت عملی ممکنہ رجحان کی تبدیلی کے نکات کی نشاندہی کرنے کے لئے فبونیکی ریٹریکشن کی سطح (0.236 ، 0.5 ، اور 0.786) کا استعمال کرتی ہے۔ اس کے علاوہ ، ٹی ایس او ٹی اشارے قیمت کی کارروائی کی فیصد کی درجہ بندی کا استعمال کرتے ہوئے رجحان کی طاقت کی پیمائش کرتا ہے۔ جب قیمت ایک تیزی / برداشت والے ٹی ایس او ٹی سگنل کے ساتھ وسط فبونیکی کی سطح (0.5) سے تجاوز کرتی ہے تو ، حکمت عملی ایک لمبی / مختصر پوزیشن میں داخل ہوتی ہے۔ اسٹاپ نقصان کی سطحوں کا حساب اے ٹی آر کا استعمال کرتے ہوئے متحرک طور پر کیا جاتا ہے ، جبکہ منافع لینے کی سطحوں کو جزوی منافع اور خطرہ انعام کے تناسب کی بنیاد پر طے کیا جاتا ہے۔ مزید برآں ، یہ حکمت عملی نئے ٹی ایس او ٹی سگنلز کی بنیاد پر پوزیشن کی تبدیلی کی اجازت دیتی ہے۔
/*backtest start: 2023-04-22 00:00:00 end: 2024-04-27 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © nioboi //@version=5 strategy("Fibonacci Trend Reversals", overlay=true, process_orders_on_close = true, commission_value = 0.055, initial_capital = 1000) // ========================================= // Input Groups // ========================================= string rsi_group = "RSI" string main_group = "Fib Sensitivity" string atr_sl_finder_group = "ATR SL Finder" string trade_execution_group = "Strategy Execution" // ========================================= // Fibonacci Retracement Trend Reversal // ========================================= sensitivity_input = input.float(title = 'Sensitive', step = 0.1, defval = 18, group = main_group) var bool is_long_trend_started = false var bool is_short_trend_started = false var bool is_trend_change = na var bool is_long_trend = false var bool is_short_trend = false var bool can_long = false var bool can_short = false sensitivity = sensitivity_input sensitivity *= 10 high_line = ta.highest(high, int(sensitivity)) low_line = ta.lowest(low, int(sensitivity)) channel_range = high_line - low_line fib_236 = high_line - channel_range * (0.236) fib_5 = high_line - channel_range * 0.5 fib_786 = high_line - channel_range * (0.786) imba_trend_line = fib_5 // ========================================= // TSOT | Trend Strength Over Time // ========================================= // Calculate 75th percentile of price for each length percentile_13H = ta.percentile_nearest_rank(high, 13, 75) percentile_21H = ta.percentile_nearest_rank(high, 21, 75) percentile_34H = ta.percentile_nearest_rank(high, 34, 75) percentile_55H = ta.percentile_nearest_rank(high, 55, 75) percentile_89H = ta.percentile_nearest_rank(high, 89, 75) // Calculate 25th percentile of price for each length percentile_13L = ta.percentile_nearest_rank(low, 13, 25) percentile_21L = ta.percentile_nearest_rank(low, 21, 25) percentile_34L = ta.percentile_nearest_rank(low, 34, 25) percentile_55L = ta.percentile_nearest_rank(low, 55, 25) percentile_89L = ta.percentile_nearest_rank(low, 89, 25) // Calculate 75th and 25th for length 144 (longest length) highest_high = ta.percentile_nearest_rank(high, 144, 75) lowest_low = ta.percentile_nearest_rank(low, 144, 25) // Calculate trend strength conditions trendBull1 = percentile_13H > highest_high trendBull2 = percentile_21H > highest_high trendBull3 = percentile_34H > highest_high trendBull4 = percentile_55H > highest_high trendBull5 = percentile_89H > highest_high trendBull6 = percentile_13L > highest_high trendBull7 = percentile_21L > highest_high trendBull8 = percentile_34L > highest_high trendBull9 = percentile_55L > highest_high trendBull10 = percentile_89L > highest_high trendBear1 = percentile_13H < lowest_low trendBear2 = percentile_21H < lowest_low trendBear3 = percentile_34H < lowest_low trendBear4 = percentile_55H < lowest_low trendBear5 = percentile_89H < lowest_low trendBear6 = percentile_13L < lowest_low trendBear7 = percentile_21L < lowest_low trendBear8 = percentile_34L < lowest_low trendBear9 = percentile_55L < lowest_low trendBear10 = percentile_89L < lowest_low countBull = (trendBull1 ? 1 : 0) + (trendBull2 ? 1 : 0) + (trendBull3 ? 1 : 0) + (trendBull4 ? 1 : 0) + (trendBull5 ? 1 : 0) + (trendBull6 ? 1 : 0) + (trendBull7 ? 1 : 0) + (trendBull8 ? 1 : 0) + (trendBull9 ? 1 : 0) + (trendBull10 ? 1 : 0) countBear = (trendBear1 ? 1 : 0) + (trendBear2 ? 1 : 0) + (trendBear3 ? 1 : 0) + (trendBear4 ? 1 : 0) + (trendBear5 ? 1 : 0) + (trendBear6 ? 1 : 0) + (trendBear7 ? 1 : 0) + (trendBear8 ? 1 : 0) + (trendBear9 ? 1 : 0) + (trendBear10 ? 1 : 0) // Calculate weak bull count weakBullCount = (percentile_13L < highest_high and percentile_13L > lowest_low ? 1 : 0) + (percentile_21L < highest_high and percentile_21L > lowest_low ? 1 : 0) + (percentile_34L < highest_high and percentile_34L > lowest_low ? 1 : 0) + (percentile_55L < highest_high and percentile_55L > lowest_low ? 1 : 0) + (percentile_89L < highest_high and percentile_89L > lowest_low ? 1 : 0) // Calculate weak bear count weakBearCount = (percentile_13H > lowest_low and percentile_13H < highest_high ? 1 : 0) + (percentile_21H > lowest_low and percentile_21H < highest_high ? 1 : 0) + (percentile_34H > lowest_low and percentile_34H < highest_high ? 1 : 0) + (percentile_55H > lowest_low and percentile_55H < highest_high ? 1 : 0) + (percentile_89H > lowest_low and percentile_89H < highest_high ? 1 : 0) // Calculate bull strength and bear strength bullStrength = 10 * (countBull + 0.5*weakBullCount - 0.5*weakBearCount - countBear) bearStrength = 10 * (countBear + 0.5*weakBearCount - 0.5*weakBullCount - countBull) // Calculate the current trend currentTrendValue = bullStrength - bearStrength tsot_bullish = currentTrendValue > 0 tsot_bearish = currentTrendValue < 0 // CAN LONG/SHORT can_long := close >= imba_trend_line and close >= fib_236 and not is_long_trend and tsot_bullish can_short := close <= imba_trend_line and close <= fib_786 and not is_short_trend and tsot_bearish if can_long is_long_trend := true is_short_trend := false is_long_trend_started := is_long_trend_started ? false : true else if can_short is_short_trend := true is_long_trend := false is_short_trend_started := is_short_trend_started ? false : true else is_trend_change := false can_long := false can_short := false is_short_trend_started := false is_long_trend_started := false is_trend_change := is_short_trend_started or is_long_trend_started plotshape(is_long_trend and is_long_trend_started ? imba_trend_line : na, title="Long", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small) plotshape(is_short_trend and is_short_trend_started ? imba_trend_line : na, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small) plot(imba_trend_line, color = is_long_trend[1] ? color.green : color.red, linewidth = 3) // ========================================= // ATR SL Finder // ========================================= atrlength = input.int(title='Length', defval=14, minval=1, group = atr_sl_finder_group) smoothing = input.string(title='Smoothing', defval='RMA', options=['RMA', 'SMA', 'EMA', 'WMA'], group = atr_sl_finder_group) m = input(3.5, 'Multiplier', group = atr_sl_finder_group) src1 = high src2 = low ma_function(source, length) => if smoothing == 'RMA' ta.rma(source, length) else if smoothing == 'SMA' ta.sma(source, length) else if smoothing == 'EMA' ta.ema(source, length) else ta.wma(source, length) x = ma_function(ta.tr(true), atrlength) * m + src1 // SHORT SL x2 = src2 - ma_function(ta.tr(true), atrlength) * m // LONG SL p1 = plot(x, title="ATR Short Stop Loss", color=color.red) p2 = plot(x2, title="ATR Long Stop Loss", color=color.green) // ========================================= // Strategy Execution // ========================================= tradeDirection = input.string("Both", "Trade Direction", ["Long Only", "Short Only", "Both"], group = trade_execution_group, tooltip = "Select if you want this strategy to run only Long or Only Short positions, or Both") risk_reward_ratio = input.float(2, "Risk Reward Ratio", group = trade_execution_group) partialTp = input.bool(true, "Use Partial Take Profit", tooltip = "Enable this if you want to exit 50% of your position when half point of your Risk Reward is reached.", group = trade_execution_group) allowReversePosition = input.bool(true, "Allow Reversing of Position", tooltip = "Enable this if you want to reverse position when new opposite signal occurs", group = trade_execution_group) // Long or Short Conditions enterLong = can_long and (tradeDirection == "Long Only" or tradeDirection == "Both") enterShort = can_short and (tradeDirection == "Short Only" or tradeDirection == "Both") // Long Entry Variables var bool plotMarkers_long = false var bool firstTPHit_long = false var float sl_long = na var float breakEven_long = na var float tp1_long = na var float tp2_long = na var float entryPrice_long = na var bool inLongPosition = false // Short Entry Variables var bool plotMarkers_short = false var bool firstTPHit_short = false var float sl_short = na var float breakEven_short = na var float tp1_short = na var float tp2_short = na var float entryPrice_short = na var bool inShortPosition = false // Reversal Logic if inLongPosition and can_short and allowReversePosition // in a long position and signal to enter short and havent yet hit first tp strategy.close("Long", "Reversing Long to Short") // close Long in preparation to enter short in the next few lines inLongPosition := false else if inShortPosition and can_long and allowReversePosition // in a short position and signal to enter long and havent yet hit first tp strategy.close("Short", "Reversing Short to Long") // close Short in preparation to enter long in the next few lines inShortPosition := false // Long Entries if enterLong entryPrice_long := close sl_long := x2 risk = entryPrice_long - sl_long tp1_long := entryPrice_long + ((risk_reward_ratio * risk) / 2) tp2_long := entryPrice_long + (risk_reward_ratio * risk) breakEven_long := entryPrice_long + (entryPrice_long * 0.002) strategy.entry("Long", strategy.long) if not partialTp strategy.exit("Exit Long", "Long", limit = tp2_long, stop = sl_long) firstTPHit_long := false inLongPosition := true // Short Entries if enterShort entryPrice_short := close sl_short := x risk = sl_short - entryPrice_short tp1_short := entryPrice_short - ((risk_reward_ratio * risk)/2) tp2_short := entryPrice_short - (risk_reward_ratio * risk) breakEven_short := entryPrice_short - (entryPrice_short * 0.002) strategy.entry("Short", strategy.short) if not partialTp strategy.exit("Exit Short", "Short", limit = tp2_short, stop = sl_short) firstTPHit_short := false inShortPosition := true // Dynamic TP and exit strategy for Longs if inLongPosition and partialTp // in long position and partial TP for exit strategy is enabled if high >= tp1_long and not firstTPHit_long // high of candle hit first TP of long, and not yet hit first TP before strategy.close("Long", "TP-1 Long", qty_percent = 50) // close 50% of our long position sl_long := breakEven_long firstTPHit_long := true // set the first TP checker flag to true else if high >= tp2_long and firstTPHit_long // already hit the first TP and we hit our 2nd tp strategy.close("Long", "TP-2 long") // close the remaining of the long position inLongPosition := false // not in long position anymore else if low <= sl_long and not firstTPHit_long // not yet hit first TP but hit our SL strategy.close("Long", "SL long") // close the entire long position inLongPosition := false // not in long position anymore else if low <= breakEven_long and firstTPHit_long // already hit first TP and retraced back to breakEven strategy.close("Long", "BE Long") inLongPosition := false // not in long position anymore // Dynamic TP and exit strategy for Shorts if inShortPosition and partialTp // in short position and partial TP for exit strategy is enabled if low <= tp1_short and not firstTPHit_short // low of candle hit first TP of short, and not yet hit first TP before strategy.close("Short", "TP-1 Short", qty_percent = 50) // close 50% of our short position firstTPHit_short := true // set the first TP checker flag to true sl_short := breakEven_short else if low <= tp2_short and firstTPHit_short // already hit the first TP and we hit our 2nd tp strategy.close("Short", "TP-2 Short") // close the remaining of the short position inShortPosition := false // not in short position anymore else if high >= sl_short and not firstTPHit_short // not yet hit first TP but hit our SL strategy.close("Short", "SL Short") // close the entire long position inShortPosition := false // not in long position anymore else if high >= breakEven_short and firstTPHit_short // already hit first TP and retraced back to breakEven strategy.close("Short", "BE Short") inShortPosition := false // not in long position anymore // ========================================= // Entry Visuals // ========================================= // Entry Visual Flags if inLongPosition plotMarkers_long := true plotMarkers_short := false else if inShortPosition plotMarkers_long := false plotMarkers_short := true showEntryVisuals = input.bool(true, "Show Entry Visuals", group = trade_execution_group) plot(plotMarkers_long and showEntryVisuals?sl_long:na, "SL Marker L", color = #ff0000a4, linewidth = 1, style = plot.style_linebr) plot(plotMarkers_long and showEntryVisuals?tp1_long:na, "TP1 Marker L", color = #00ff08a8, linewidth = 1, style = plot.style_linebr) plot(plotMarkers_long and showEntryVisuals?tp2_long:na, "TP2 Marker L", color = #1100ffa9, linewidth = 1, style = plot.style_linebr) plot(plotMarkers_short and showEntryVisuals?sl_short:na, "SL Marker S", color = #ff0000a4, linewidth = 1, style = plot.style_linebr) plot(plotMarkers_short and showEntryVisuals?tp1_short:na, "TP1 Marker S", color = #00ff08a8, linewidth = 1, style = plot.style_linebr) plot(plotMarkers_short and showEntryVisuals?tp2_short:na, "TP2 Marker S", color = #1100ffa9, linewidth = 1, style = plot.style_linebr)