Cette stratégie de trading combine trois indicateurs techniques: moyenne mobile exponentielle (EMA), indice de force relative (RSI) et divergence de convergence moyenne mobile (MACD). En analysant leurs croisements et leurs relations de valeur, elle génère des signaux d'achat et de vente lorsque les prix répondent à certaines conditions.
Cette stratégie forme un système de trading complet en combinant plusieurs indicateurs techniques tels que l'EMA, le RSI et le MACD. Dans les marchés en tendance, la stratégie peut capturer efficacement les tendances et contrôler les risques grâce à un profit dynamique et un stop loss. Cependant, sur les marchés latéraux, le trading fréquent peut affecter la rentabilité.
/*backtest start: 2023-06-08 00:00:00 end: 2024-06-13 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("[BUY/SELL]EMA RSI MACD with TP and SL", overlay=true) // Input parameters ema1Length = input.int(9, title="EMA 1 Length") ema2Length = input.int(21, title="EMA 2 Length") ema3Length = input.int(34, title="EMA 3 Length") rsiLength = input.int(14, title="RSI Length") rsiThreshold = input.int(50, title="RSI Threshold") macdFastLength = input.int(12, title="MACD Fast Length") macdSlowLength = input.int(26, title="MACD Slow Length") macdSignalSmoothing = input.int(9, title="MACD Signal Smoothing") tpPips = input.int(10, title="Take Profit (pips)") slPips = input.int(10, title="Stop Loss (pips)") // HLCC4 calculation hlcc4_custom = (high + low + close + close) / 4 // Calculate EMA and RSI based on HLCC4 ema1 = ta.ema(hlcc4_custom, ema1Length) ema2 = ta.ema(hlcc4_custom, ema2Length) ema3 = ta.ema(hlcc4_custom, ema3Length) rsi = ta.rsi(hlcc4_custom, rsiLength) // Calculate MACD Histogram [a, b, histogram] = ta.macd(hlcc4_custom, macdFastLength, macdSlowLength, macdSignalSmoothing) // EMA1 and EMA2 crossover conditions emaCrossUp = ta.crossover(ema1, ema2) emaCrossDown = ta.crossunder(ema1, ema2) // BUY signal conditions buySignal = emaCrossUp and hlcc4_custom > ema3 and rsi > rsiThreshold and close > open and histogram > 0 // SELL signal conditions sellSignal = emaCrossDown and hlcc4_custom < ema3 and rsi < rsiThreshold and close < open and histogram < 0 var float entryPrice = na var float tpPrice = na var float slPrice = na // Check if there is an open position and a contrary signal appears, then close all old orders first if strategy.opentrades > 0 if sellSignal and strategy.position_size > 0 strategy.close("Buy", comment="Close Buy Order") if buySignal and strategy.position_size < 0 strategy.close("Sell", comment="Close Sell Order") // Place a BUY order when there is a BUY signal and set TP and SL based on pips if buySignal and strategy.position_size == 0 entryPrice := close tpPrice := entryPrice + tpPips * syminfo.mintick slPrice := entryPrice - slPips * syminfo.mintick strategy.entry("Buy", strategy.long) strategy.exit("Take Profit/Stop Loss", "Buy", limit=tpPrice, stop=slPrice) // Place a SELL order when there is a SELL signal and set TP and SL based on pips if sellSignal and strategy.position_size == 0 entryPrice := close tpPrice := entryPrice - tpPips * syminfo.mintick slPrice := entryPrice + slPips * syminfo.mintick strategy.entry("Sell", strategy.short) strategy.exit("Take Profit/Stop Loss", "Sell", limit=tpPrice, stop=slPrice) // Plot the crossover points of EMA1 and EMA2 plotshape(series=emaCrossUp, location=location.belowbar, color=color.aqua, style=shape.triangleup, title="EMA Cross Up", size=size.small) plotshape(series=emaCrossDown, location=location.abovebar, color=color.red, style=shape.triangledown, title="EMA Cross Down", size=size.small) // Plot the EMA lines on the chart plot(ema1, title="EMA 1", color=color.aqua) plot(ema2, title="EMA 2", color=color.red) plot(ema3, title="EMA 3", color=color.yellow, linewidth=2)