Il s'agit d'une stratégie de trading complète qui combine les approches de suivi de tendance et de rupture de volatilité en utilisant plusieurs indicateurs techniques. La stratégie intègre un système EMA, ADX pour la force de la tendance, ATR pour la mesure de la volatilité, OBV pour l'analyse du volume et des indicateurs supplémentaires tels que Ichimoku Cloud et l'oscillateur stochastique pour capturer les tendances du marché et les opportunités de rupture.
La logique de base est basée sur une analyse technique à plusieurs niveaux:
Les signaux d'achat sont générés lorsque:
Suggestions de contrôle des risques:
La stratégie construit un système de négociation complet grâce à l'application complète de plusieurs indicateurs techniques. Ses atouts résident dans la validation croisée des indicateurs multicouches et le contrôle strict des risques, tout en faisant face à des défis dans l'optimisation des paramètres et le décalage du signal.
/*backtest start: 2024-11-11 00:00:00 end: 2024-12-10 08:00:00 period: 2h basePeriod: 2h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("Khaleq Strategy Pro - Fixed Version", overlay=true) // === Input Settings === ema_short = input.int(50, "EMA Short", minval=1) ema_long = input.int(200, "EMA Long", minval=1) adx_threshold = input.int(25, "ADX Threshold", minval=1) atr_multiplier = input.float(2.0, "ATR Multiplier", minval=0.1) time_filter_start = input(timestamp("0000-01-01 09:00:00"), "Trading Start Time", group="Time Filter") time_filter_end = input(timestamp("0000-01-01 17:00:00"), "Trading End Time", group="Time Filter") // === Ichimoku Settings === tenkan_len = 9 kijun_len = 26 senkou_span_b_len = 52 displacement = 26 // === Calculations === // Ichimoku Components tenkan_sen = (ta.highest(high, tenkan_len) + ta.lowest(low, tenkan_len)) / 2 kijun_sen = (ta.highest(high, kijun_len) + ta.lowest(low, kijun_len)) / 2 senkou_span_a = (tenkan_sen + kijun_sen) / 2 senkou_span_b = (ta.highest(high, senkou_span_b_len) + ta.lowest(low, senkou_span_b_len)) / 2 // EMA Calculations ema_short_val = ta.ema(close, ema_short) ema_long_val = ta.ema(close, ema_long) // Manual ADX Calculation length = 14 dm_plus = math.max(ta.change(high), 0) dm_minus = math.max(-ta.change(low), 0) tr = math.max(high - low, math.max(math.abs(high - close[1]), math.abs(low - close[1]))) tr14 = ta.sma(tr, length) dm_plus14 = ta.sma(dm_plus, length) dm_minus14 = ta.sma(dm_minus, length) di_plus = (dm_plus14 / tr14) * 100 di_minus = (dm_minus14 / tr14) * 100 dx = math.abs(di_plus - di_minus) / (di_plus + di_minus) * 100 adx_val = ta.sma(dx, length) // ATR Calculation atr_val = ta.atr(14) // Stochastic RSI Calculation k = ta.stoch(close, high, low, 14) d = ta.sma(k, 3) // Time Filter is_within_time = true // Support and Resistance (High and Low Levels) resistance_level = ta.highest(high, 20) support_level = ta.lowest(low, 20) // Volume Analysis (On-Balance Volume) vol_change = ta.change(close) obv = ta.cum(vol_change > 0 ? volume : vol_change < 0 ? -volume : 0) // === Signal Conditions === buy_signal = is_within_time and (close > ema_short_val) and (ema_short_val > ema_long_val) and (adx_val > adx_threshold) and (close > senkou_span_a) and (k < 20) // Stochastic oversold sell_signal = is_within_time and (close < ema_short_val) and (ema_short_val < ema_long_val) and (adx_val > adx_threshold) and (close < senkou_span_b) and (k > 80) // Stochastic overbought // === Plotting === // Plot Buy and Sell Signals plotshape(buy_signal, color=color.green, style=shape.labelup, title="Buy Signal", location=location.belowbar, text="BUY") plotshape(sell_signal, color=color.red, style=shape.labeldown, title="Sell Signal", location=location.abovebar, text="SELL") // Plot EMAs plot(ema_short_val, color=color.blue, title="EMA Short") plot(ema_long_val, color=color.orange, title="EMA Long") // Plot Ichimoku Components plot(senkou_span_a, color=color.green, title="Senkou Span A", offset=displacement) plot(senkou_span_b, color=color.red, title="Senkou Span B", offset=displacement) // // Plot Support and Resistance using lines // var line resistance_line = na // var line support_line = na // if bar_index > 1 // line.delete(resistance_line) // line.delete(support_line) // resistance_line := line.new(x1=bar_index - 1, y1=resistance_level, x2=bar_index, y2=resistance_level, color=color.red, width=1, style=line.style_dotted) // support_line := line.new(x1=bar_index - 1, y1=support_level, x2=bar_index, y2=support_level, color=color.green, width=1, style=line.style_dotted) // Plot OBV plot(obv, color=color.purple, title="OBV") // Plot Background for Trend (Bullish/Bearish) bgcolor(close > ema_long_val ? color.new(color.green, 90) : color.new(color.red, 90), title="Trend Background") // === Alerts === alertcondition(buy_signal, title="Buy Alert", message="Buy Signal Triggered") alertcondition(sell_signal, title="Sell Alert", message="Sell Signal Triggered") // === Strategy Execution === if buy_signal strategy.entry("Buy", strategy.long) if sell_signal strategy.close("Buy") strategy.exit("Sell", "Buy", stop=close - atr_multiplier * atr_val, limit=close + atr_multiplier * atr_val)