Esta é uma estratégia quantitativa de negociação baseada em três indicadores técnicos: VWAP, MACD e RSI. A estratégia identifica oportunidades de negociação combinando sinais do Volume Weighted Average Price (VWAP), Moving Average Convergence Divergence (MACD) e Relative Strength Index (RSI).
A lógica central baseia-se na análise abrangente de três indicadores principais:
As condições de compra exigem:
As condições de venda exigem:
Esta estratégia constrói um sistema de negociação relativamente completo, combinando três indicadores técnicos clássicos: VWAP, MACD e RSI. O projeto enfatiza a confiabilidade do sinal e a gestão de risco através de validação cruzada de múltiplos indicadores para melhorar a qualidade da negociação.
/*backtest start: 2024-10-27 00:00:00 end: 2024-11-26 00:00:00 period: 4h basePeriod: 4h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("pbs", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100) // Input for take-profit and stop-loss takeProfitPercent = input.float(0.5, title="Take Profit (%)", step=0.1) / 100 stopLossPercent = input.float(0.25, title="Stop Loss (%)", step=0.1) / 100 macdFastLength = input.int(12, title="MACD Fast Length") macdSlowLength = input.int(26, title="MACD Slow Length") macdSignalLength = input.int(9, title="MACD Signal Length") rsiLength = input.int(14, title="RSI Length") rsiOverbought = input.int(70, title="RSI Overbought Level", step=1) rsiOversold = input.int(30, title="RSI Oversold Level", step=1) vwap = ta.vwap(close) [macdLine, signalLine, _] = ta.macd(close, macdFastLength, macdSlowLength, macdSignalLength) macdHistogram = macdLine - signalLine rsi = ta.rsi(close, rsiLength) plot(vwap, color=color.purple, linewidth=2, title="VWAP") hline(rsiOverbought, "Overbought", color=color.red, linestyle=hline.style_dotted) hline(rsiOversold, "Oversold", color=color.green, linestyle=hline.style_dotted) plot(macdLine, color=color.blue, title="MACD Line") plot(signalLine, color=color.orange, title="Signal Line") // Buy Condition longCondition = ta.crossover(close, vwap) and macdHistogram > 0 and rsi < rsiOverbought // Sell Condition shortCondition = ta.crossunder(close, vwap) and macdHistogram < 0 and rsi > rsiOversold // Execute trades based on conditions if (longCondition) strategy.entry("Long", strategy.long) strategy.exit("Take Profit/Stop Loss", "Long", limit=close * (1 + takeProfitPercent), stop=close * (1 - stopLossPercent)) if (shortCondition) strategy.entry("Short", strategy.short) strategy.exit("Take Profit/Stop Loss", "Short", limit=close * (1 - takeProfitPercent), stop=close * (1 + stopLossPercent)) // Plot Buy/Sell Signals plotshape(series=longCondition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal") plotshape(series=shortCondition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal")