
La stratégie est un système de trading complet qui combine plusieurs indicateurs techniques et ICT (Institutional Trading Concept). Il intègre des indicateurs d’analyse technique traditionnels (RSI, indicateurs stochastiques, MACD, EMA) et des concepts de trading ICT modernes (écart de juste valeur, percée structurelle, analyse de biais de période de temps élevée) sur différentes périodes de temps et filtre à travers des périodes de trading strictes. Obtenez des données de marché précises contrôle d’accès.
La stratégie repose sur la coordination de cinq composantes essentielles :
Cette stratégie construit un système de trading complet en intégrant l’analyse technique traditionnelle aux concepts TIC modernes. Ses avantages résident dans la confirmation multidimensionnelle du signal et dans un contrôle strict des risques, mais il est également confronté à des défis en matière d’optimisation des paramètres et d’adaptabilité du marché. Grâce à une optimisation et une amélioration continues, la stratégie devrait permettre de maintenir des performances stables dans différents environnements de marché.
/*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))