এই কৌশলটি একটি ব্যাপক ট্রেডিং সিস্টেম যা একাধিক প্রযুক্তিগত সূচক এবং আইসিটি (প্রাতিষ্ঠানিক ট্রেডিং ধারণা) একত্রিত করে। এটি প্রথাগত প্রযুক্তিগত বিশ্লেষণ সূচক (RSI, stochastic indicator, MACD, EMA) এবং আধুনিক আইসিটি ট্রেডিং ধারণাগুলিকে (ন্যায্য মূল্যের ব্যবধান, কাঠামোগত অগ্রগতি, উচ্চ সময়ের পক্ষপাত বিশ্লেষণ) বিভিন্ন সময়কালে সংহত করে এবং কঠোর ট্রেডিং সময়ের মাধ্যমে ফিল্টারগুলি সুনির্দিষ্ট বাজার অ্যাক্সেস অর্জন করে। নিয়ন্ত্রণ
কৌশলটি পাঁচটি মূল উপাদানের সমন্বয়ের উপর ভিত্তি করে কাজ করে:
এই কৌশলটি ঐতিহ্যগত প্রযুক্তিগত বিশ্লেষণ এবং আধুনিক আইসিটি ধারণাকে একীভূত করে একটি ব্যাপক ট্রেডিং সিস্টেম তৈরি করে। এর সুবিধাগুলি বহুমাত্রিক সংকেত নিশ্চিতকরণ এবং কঠোর ঝুঁকি নিয়ন্ত্রণের মধ্যে রয়েছে, তবে এটি প্যারামিটার অপ্টিমাইজেশান এবং বাজারের অভিযোজনযোগ্যতার ক্ষেত্রেও চ্যালেঞ্জের মুখোমুখি হয়। ক্রমাগত অপ্টিমাইজেশান এবং উন্নতির মাধ্যমে, কৌশলটি বিভিন্ন বাজার পরিবেশে স্থিতিশীল কর্মক্ষমতা বজায় রাখার প্রত্যাশিত৷
/*backtest
start: 2024-01-06 00:00:00
end: 2025-01-04 08:00:00
period: 2d
basePeriod: 2d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// -----------------------------------------------------
// Multi-Signal Conservative Strategy (Pine Script v5)
// + More ICT Concepts (HTF Bias, FVG, Killzone, BOS)
// -----------------------------------------------------
//
// Combines:
// - RSI, Stochastic, MACD, 200 EMA (lower TF)
// - Higher Timeframe (HTF) bias check via 200 EMA
// - Kill Zone time filter
// - Fair Value Gap (FVG) detection (simplified 3-candle approach)
// - Break of Structure (BOS) using pivot highs/lows
// - Only trade markers on chart (no extra indicator plots).
//
// Use on lower timeframes: 1m to 15m
// Always backtest thoroughly and manage risk properly.
//
// -----------------------------------------------------
//@version=5
strategy(title="Multi-Signal + ICT Concepts (HTF/FVG/Killzone/BOS)", shorttitle="ICTStrategyExample",overlay=true, pyramiding=0, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// -----------------------------------------------------
// User Inputs
// -----------------------------------------------------
/////////////// Lower TF Inputs ///////////////
emaLength = input.int(200, "LTF EMA Length", group="Lower TF")
rsiLength = input.int(14, "RSI Length", group="Lower TF")
rsiUpper = input.int(60, "RSI Overbought Thresh", group="Lower TF", minval=50, maxval=80)
rsiLower = input.int(40, "RSI Oversold Thresh", group="Lower TF", minval=20, maxval=50)
stochLengthK = input.int(14, "Stoch K Length", group="Lower TF")
stochLengthD = input.int(3, "Stoch D Smoothing", group="Lower TF")
stochSmooth = input.int(3, "Stoch Smoothing", group="Lower TF")
macdFast = input.int(12, "MACD Fast Length", group="Lower TF")
macdSlow = input.int(26, "MACD Slow Length", group="Lower TF")
macdSignal = input.int(9, "MACD Signal Length", group="Lower TF")
/////////////// ICT Concepts Inputs ///////////////
htfTimeframe = input.timeframe("60", "HTF for Bias (e.g. 60, 240)", group="ICT Concepts")
htfEmaLen = input.int(200, "HTF EMA Length", group="ICT Concepts")
sessionInput = input("0700-1000:1234567", "Kill Zone Window", group="ICT Concepts")
fvgLookbackBars = input.int(2, "FVG Lookback Bars (3-candle check)", group="ICT Concepts", minval=1, maxval=10)
/////////////// Risk Management ///////////////
stopLossPerc = input.float(0.5, "Stop-Loss %", step=0.1, group="Risk")
takeProfitPerc = input.float(1.0, "Take-Profit %", step=0.1, group="Risk")
// -----------------------------------------------------
// 1) Higher Timeframe Bias
// -----------------------------------------------------
//
// We'll request the HTF close, then compute the HTF EMA on that data
// to decide if it's bullish or bearish overall.
htfClose = request.security(syminfo.tickerid, htfTimeframe, close)
htfEma = request.security(syminfo.tickerid, htfTimeframe, ta.ema(close, htfEmaLen))
isBullHTF = htfClose > htfEma
isBearHTF = htfClose < htfEma
// -----------------------------------------------------
// 2) Kill Zone / Session Filter
// -----------------------------------------------------
//
// We'll only consider trades if the current bar is within
// the user-defined session time (e.g., 07:00 to 10:00 local or exchange time).
isInKillZone = time(timeframe.period, sessionInput) != 0
// -----------------------------------------------------
// 3) Fair Value Gap (FVG) Detection (Simplified)
//
// For a "Bullish FVG" among bars [2], [1], [0]:
// high[2] < low[0] => there's a gap that bar [1] didn't fill
// For a "Bearish FVG":
// low[2] > high[0] => there's a gap that bar [1] didn't fill
//
// Real ICT usage might check partial fill, candle bodies vs wicks, etc.
// This is just a minimal example for demonstration.
fvgBarsAgo = fvgLookbackBars // default = 2
bullFVG = high[fvgBarsAgo] < low // e.g. high[2] < low[0]
bearFVG = low[fvgBarsAgo] > high // e.g. low[2] > high[0]
// -----------------------------------------------------
// 4) Break of Structure (BOS)
// -----------------------------------------------------
// Using pivot detection from previous example:
swingLen = 2 // pivot detection length (bars on each side)
// Identify a pivot high at bar [1]
swingHigh = high[1] > high[2] and high[1] > high[0]
// Identify a pivot low at bar [1]
swingLow = low[1] < low[2] and low[1] < low[0]
// Track the most recent pivot high & low
var float lastPivotHigh = na
var float lastPivotLow = na
if swingHigh
lastPivotHigh := high[1]
if swingLow
lastPivotLow := low[1]
bosUp = not na(lastPivotHigh) and (close > lastPivotHigh)
bosDown = not na(lastPivotLow) and (close < lastPivotLow)
// -----------------------------------------------------
// 5) Lower TF Indicator Calculations
// -----------------------------------------------------
ema200 = ta.ema(close, emaLength) // 200 EMA on LTF
rsiValue = ta.rsi(close, rsiLength)
kValue = ta.stoch(high, low, close, stochLengthK)
dValue = ta.sma(kValue, stochLengthD)
stochSignal = ta.sma(dValue, stochSmooth)
[macdLine, signalLine, histLine] = ta.macd(close, macdFast, macdSlow, macdSignal)
// LTF trend filter
isBullTrend = close > ema200
isBearTrend = close < ema200
// -----------------------------------------------------
// Combine All Conditions
// -----------------------------------------------------
//
// We'll require that all filters line up for a long or short:
// - HTF bias
// - kill zone
// - bullish/bearish FVG
// - BOS up/down
// - RSI, Stoch, MACD alignment
// - Price above/below LTF 200 EMA
longCondition = isInKillZone // must be in session
and isBullHTF // HTF bias bullish
and bullFVG // bullish FVG
and bosUp // BOS up
and (rsiValue > rsiUpper) // RSI > threshold
and (kValue > dValue) // stoch K above D
and (macdLine > signalLine) // MACD bullish
and isBullTrend // above LTF 200 EMA
shortCondition = isInKillZone // must be in session
and isBearHTF // HTF bias bearish
and bearFVG // bearish FVG
and bosDown // BOS down
and (rsiValue < rsiLower) // RSI < threshold
and (kValue < dValue) // stoch K below D
and (macdLine < signalLine) // MACD bearish
and isBearTrend // below LTF 200 EMA
// -----------------------------------------------------
// Strategy Entries
// -----------------------------------------------------
if longCondition
strategy.entry("Long Entry", strategy.long)
if shortCondition
strategy.entry("Short Entry", strategy.short)
// -----------------------------------------------------
// Risk Management (Stop-Loss & Take-Profit)
// -----------------------------------------------------
if strategy.position_size > 0
// Long position exit
strategy.exit("Long Exit", stop = strategy.position_avg_price * (1.0 - stopLossPerc/100.0), limit = strategy.position_avg_price * (1.0 + takeProfitPerc/100.0))
if strategy.position_size < 0
// Short position exit
strategy.exit("Short Exit", stop = strategy.position_avg_price * (1.0 + stopLossPerc/100.0), limit = strategy.position_avg_price * (1.0 - takeProfitPerc/100.0))
// -----------------------------------------------------
// Hide All Indicator Plots
// (We only show trade markers for entry & exit)
// -----------------------------------------------------
// Comment out or remove any plot() calls so chart stays clean.
//
// Example (commented out):
// plot(ema200, title="EMA 200", color=color.new(color.yellow, 0), linewidth=2)
// plot(rsiValue, title="RSI", color=color.new(color.blue, 0))
// plot(macdLine, title="MACD", color=color.new(color.teal, 0))
// plot(signalLine, title="Signal", color=color.new(color.purple, 0))