Strategi ini adalah sistem perdagangan yang komprehensif yang menggabungkan beberapa indikator teknis termasuk Bollinger Bands, retracement Fibonacci, MACD, dan RSI. Strategi ini menangkap peluang perdagangan dalam kondisi pasar yang berbeda melalui koordinasi multi-indikator dan menerapkan metode profit take-profit maksimum untuk pengendalian risiko. Sistem ini mengadopsi desain modular dengan parameter indikator yang fleksibel, menawarkan kemampuan beradaptasi dan kepraktisan yang kuat.
Strategi ini menggunakan empat indikator teknis utama untuk menghasilkan sinyal perdagangan:
Strategi ini mencapai efisiensi perdagangan sambil mempertahankan stabilitas melalui koordinasi multi-indikator. Meskipun ada risiko tertentu, strategi ini memiliki nilai praktis melalui kontrol risiko yang tepat dan optimasi berkelanjutan.
/*backtest start: 2024-12-04 00:00:00 end: 2024-12-11 00:00:00 period: 2h basePeriod: 2h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("Demo GPT Bollinger, Fibonacci, MACD & RSI with Max Profit Exit", overlay=true) // === User Inputs for Bollinger Bands === length_bb = input.int(20, minval=1, title="Bollinger Bands Length") maType_bb = input.string("SMA", title="Bollinger Bands MA Type", options=["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"]) src_bb = input(close, title="Bollinger Bands Source") mult_bb = input.float(2.0, minval=0.001, maxval=50, title="Bollinger Bands StdDev") offset_bb = input.int(0, title="Bollinger Bands Offset", minval=-500, maxval=500) // === User Inputs for Fibonacci Levels === lookback_fib = input.int(50, minval=1, title="Fibonacci Lookback Period") // === User Inputs for MACD === macd_fast = input.int(12, minval=1, title="MACD Fast Length") macd_slow = input.int(26, minval=1, title="MACD Slow Length") macd_signal = input.int(9, minval=1, title="MACD Signal Length") // === User Inputs for RSI === rsi_length = input.int(14, title="RSI Length") rsi_overbought = input.int(70, title="RSI Overbought Level") rsi_oversold = input.int(30, title="RSI Oversold Level") // === Start and End Date Inputs === start_date = input(timestamp("2023-01-01 00:00:00"), title="Start Date") end_date = input(timestamp("2069-12-31 23:59:59"), title="End Date") // === Moving Average Function === ma(source, length, _type) => switch _type "SMA" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) // === Bollinger Bands Calculation === basis_bb = ma(src_bb, length_bb, maType_bb) dev_bb = mult_bb * ta.stdev(src_bb, length_bb) upper_bb = basis_bb + dev_bb lower_bb = basis_bb - dev_bb // === Fibonacci Levels Calculation === highest_price = ta.highest(high, lookback_fib) lowest_price = ta.lowest(low, lookback_fib) fib_0 = lowest_price fib_23 = lowest_price + 0.236 * (highest_price - lowest_price) fib_38 = lowest_price + 0.382 * (highest_price - lowest_price) fib_50 = lowest_price + 0.5 * (highest_price - lowest_price) fib_61 = lowest_price + 0.618 * (highest_price - lowest_price) fib_100 = highest_price // === MACD Calculation === [macd_line, signal_line, _] = ta.macd(close, macd_fast, macd_slow, macd_signal) // === RSI Calculation === rsi = ta.rsi(close, rsi_length) // === Plotting for Reference === plot(basis_bb, "Bollinger Basis", color=color.blue, offset=offset_bb) p1_bb = plot(upper_bb, "Bollinger Upper", color=color.red, offset=offset_bb) p2_bb = plot(lower_bb, "Bollinger Lower", color=color.green, offset=offset_bb) fill(p1_bb, p2_bb, title="Bollinger Bands Background", color=color.rgb(33, 150, 243, 95)) plot(fib_0, "Fib 0%", color=color.gray) plot(fib_23, "Fib 23.6%", color=color.yellow) plot(fib_38, "Fib 38.2%", color=color.orange) plot(fib_50, "Fib 50%", color=color.blue) plot(fib_61, "Fib 61.8%", color=color.green) plot(fib_100, "Fib 100%", color=color.red) hline(0, "MACD Zero Line", color=color.gray) plot(macd_line, "MACD Line", color=color.blue) plot(signal_line, "Signal Line", color=color.orange) hline(rsi_overbought, "RSI Overbought", color=color.red) hline(rsi_oversold, "RSI Oversold", color=color.green) plot(rsi, "RSI", color=color.blue) // === Combined Trading Logic === // Bollinger Bands Signals long_bb = ta.crossover(close, lower_bb) short_bb = ta.crossunder(close, upper_bb) // Fibonacci Signals long_fib = close <= fib_23 and close >= fib_0 short_fib = close >= fib_61 and close <= fib_100 // MACD Signals long_macd = ta.crossover(macd_line, signal_line) short_macd = ta.crossunder(macd_line, signal_line) // RSI Signals long_rsi = rsi < rsi_oversold short_rsi = rsi > rsi_overbought // Combined Long and Short Conditions long_condition = (long_bb or long_fib or long_macd or long_rsi) short_condition = (short_bb or short_fib or short_macd or short_rsi) // === Max Profit Exit Logic === // Define the maximum profit exit percentage take_profit_percentage = input.float(5.0, title="Take Profit (%)", minval=0.1, maxval=100) / 100 stop_loss_percentage = input.float(2.0, title="Stop Loss (%)", minval=0.1, maxval=100) / 100 // Track the highest price during the trade var float max_profit_price = na if (strategy.opentrades > 0) max_profit_price := na(max_profit_price) ? strategy.opentrades.entry_price(0) : math.max(max_profit_price, high) // Calculate the take profit and stop loss levels based on the max profit price take_profit_level = max_profit_price * (1 + take_profit_percentage) stop_loss_level = max_profit_price * (1 - stop_loss_percentage) // Exit the trade if the take profit or stop loss level is hit if (strategy.opentrades > 0) if (close >= take_profit_level) strategy.exit("Take Profit", from_entry="Long", limit=take_profit_level) if (close <= stop_loss_level) strategy.exit("Stop Loss", from_entry="Long", stop=stop_loss_level) if (strategy.opentrades > 0) if (close <= take_profit_level) strategy.exit("Take Profit", from_entry="Short", limit=take_profit_level) if (close >= stop_loss_level) strategy.exit("Stop Loss", from_entry="Short", stop=stop_loss_level) // === Execute Trades === if (long_condition) strategy.entry("Long", strategy.long, when=not na(long_condition)) if (short_condition) strategy.entry("Short", strategy.short, when=not na(short_condition))