
فبونیکی رجحان الٹ حکمت عملی ایک تجارتی حکمت عملی ہے جس میں فبونیکی واپسی کی سطح اور رجحان کی طاقت کے اشارے ((TSOT) کا استعمال کرتے ہوئے مارکیٹ کے رجحان الٹ کے نقطہ کو پکڑنے کے لئے استعمال کیا جاتا ہے۔ یہ حکمت عملی متحرک اے ٹی آر اسٹاپس اور جزوی اسٹاپس کے ذریعہ رسک مینجمنٹ اور منافع کو زیادہ سے زیادہ کرتی ہے۔ حکمت عملی 5 منٹ کی توسیع پذیر مارکیٹوں کے لئے موزوں ہے۔
اس حکمت عملی میں فبونیکی ریٹریس لیول ((0.236، 0.5 اور 0.786) کا استعمال کیا جاتا ہے تاکہ ممکنہ رجحان کی تبدیلی کی نشاندہی کی جاسکے۔ اس کے علاوہ ، اس حکمت عملی میں ٹی ایس او ٹی اشارے کا استعمال کیا جاتا ہے تاکہ قیمت کی فیصد درجہ بندی کے ذریعہ رجحان کی طاقت کا اندازہ لگایا جاسکے۔ جب قیمت درمیانی فبونیکی لیول ((0.5) کو توڑتی ہے اور ٹی ایس او ٹی اشارے میں تیزی / کمی کا اشارہ ہوتا ہے تو ، حکمت عملی کھولی جاتی ہے زیادہ / خالی۔ اسٹاپ نقصان کی پوزیشن کو متحرک اے ٹی آر حساب کتاب کا استعمال کیا جاتا ہے ، اور اسٹاپ آؤٹ نے اس کے مقابلے میں کچھ اسٹاپ آؤٹ اور رسک ریٹرن ترتیب دیا ہے۔ اس کے علاوہ ، حکمت عملی میں نئے ٹی ایس او ٹی سگنل کے مطابق پوزیشن کی تبدیلی کی بھی اجازت دی جاتی ہے۔
فیبونیکی رجحان الٹ حکمت عملی فیبونیکی واپسی کی سطح اور ٹی ایس او ٹی اشارے کے امتزاج کے ذریعہ ، رجحان الٹ نقطہ کو مؤثر طریقے سے پکڑنے اور متحرک اسٹاپ نقصان اور جزوی اسٹاپ کے ذریعہ خطرے کے کنٹرول اور منافع کے اہداف کو حاصل کرنے کے قابل ہے۔ حکمت عملی رجحان کے واضح بازاروں میں عمدہ کارکردگی کا مظاہرہ کرتی ہے ، لیکن چونکانے والی مارکیٹوں میں محتاط رویہ اختیار کرنے کی ضرورت ہے۔ مستقبل میں ، اس حکمت عملی کو مزید بہتر اور بہتر بنایا جاسکتا ہے تاکہ اس کی استحکام اور منافع بخش صلاحیت کو بہتر بنایا جاسکے۔
/*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)