Strategi ini menggunakan kombinasi Bollinger Bands dan sinyal Saluran Keltner untuk mengidentifikasi tren pasar. Bollinger Bands adalah alat analisis teknis yang mendefinisikan saluran berdasarkan rentang volatilitas harga. Sinyal Saluran Keltner menggabungkan volatilitas harga dan tren untuk menentukan tingkat dukungan atau resistensi. Strategi ini memanfaatkan keuntungan dari kedua indikator dengan menilai apakah ada persilangan emas antara Bollinger Bands dan Saluran Keltner untuk menemukan peluang panjang dan pendek.
Strategi ini terutama mengandalkan Bollinger Bands untuk menilai rentang volatilitas dan momentum. Saluran Keltner berfungsi sebagai alat verifikasi karena karakteristiknya yang serupa tetapi parameternya berbeda. Menggunakan kedua indikator ini bersama meningkatkan akurasi sinyal. Menggabungkan volume perdagangan juga membantu menyaring sinyal yang tidak valid.
Memperluas rentang stop loss atau menambahkan indikator konfirmasi seperti MACD dapat mengurangi risiko dari sinyal palsu.
Strategi ini menggabungkan Bollinger Bands dan Keltner Channels untuk mengidentifikasi tren, diverifikasi oleh volume perdagangan. peningkatan lebih lanjut seperti optimasi parameter dan menambahkan indikator akan memperkuatnya untuk lebih banyak rezim pasar.
/*backtest start: 2023-12-01 00:00:00 end: 2023-12-31 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © jensenvilhelm //@version=5 strategy("BB and KC Strategy", overlay=true) // Define the input parameters for the strategy, these can be changed by the user to adjust the strategy kcLength = input.int(20, "KC Length", minval=1) // Length for Keltner Channel calculation kcStdDev = input.float(2.2, "KC StdDev") // Standard Deviation for Keltner Channel calculation bbLength = input.int(20, "BB Length", minval=1) // Length for Bollinger Bands calculation bbStdDev = input.float(2, "BB StdDev") // Standard Deviation for Bollinger Bands calculation volumeLength = input.int(10, "Volume MA Length", minval=1) // Length for moving average of volume calculation stopLossPercent = input.float(1.5, "Stop Loss (%)") // Percent of price for Stop loss trailStopPercent = input.float(2, "Trail Stop (%)") // Percent of price for Trailing Stop barsInTrade = input.int(20, "Bars in trade before exit", minval = 1) // Minimum number of bars in trade before considering exit // Calculate Bollinger Bands and Keltner Channel [bb_middle, bb_upper, bb_lower] = ta.bb(close, bbLength, bbStdDev) // Bollinger Bands calculation [kc_middle, kc_upper, kc_lower] = ta.kc(close, kcLength, kcStdDev) // Keltner Channel calculation // Calculate moving average of volume vol_ma = ta.sma(volume, volumeLength) // Moving average of volume calculation // Plotting Bollinger Bands and Keltner Channels on the chart plot(bb_upper, color=color.red) // Bollinger Bands upper line plot(bb_middle, color=color.blue) // Bollinger Bands middle line plot(bb_lower, color=color.red) // Bollinger Bands lower line plot(kc_upper, color=color.rgb(105, 255, 82)) // Keltner Channel upper line plot(kc_middle, color=color.blue) // Keltner Channel middle line plot(kc_lower, color=color.rgb(105, 255, 82)) // Keltner Channel lower line // Define entry conditions: long position if upper KC line crosses above upper BB line and volume is above MA of volume // and short position if lower KC line crosses below lower BB line and volume is above MA of volume longCond = ta.crossover(kc_upper, bb_upper) and volume > vol_ma // Entry condition for long position shortCond = ta.crossunder(kc_lower, bb_lower) and volume > vol_ma // Entry condition for short position // Define variables to store entry price and bar counter at entry point var float entry_price = na // variable to store entry price var int bar_counter = na // variable to store bar counter at entry point // Check entry conditions and if met, open long or short position if (longCond) strategy.entry("Buy", strategy.long) // Open long position entry_price := close // Store entry price bar_counter := 1 // Start bar counter if (shortCond) strategy.entry("Sell", strategy.short) // Open short position entry_price := close // Store entry price bar_counter := 1 // Start bar counter // If in a position and bar counter is not na, increment bar counter if (strategy.position_size != 0 and na(bar_counter) == false) bar_counter := bar_counter + 1 // Increment bar counter // Define exit conditions: close position if been in trade for more than specified bars // or if price drops by more than specified percent for long or rises by more than specified percent for short if (bar_counter > barsInTrade) // Only consider exit after minimum bars in trade if (bar_counter >= barsInTrade) strategy.close_all() // Close all positions // Stop loss and trailing stop if (strategy.position_size > 0) strategy.exit("Sell", "Buy", stop=entry_price * (1 - stopLossPercent/100), trail_points=entry_price * trailStopPercent/100) // Set stop loss and trailing stop for long position else if (strategy.position_size < 0) strategy.exit("Buy", "Sell", stop=entry_price * (1 + stopLossPercent/100), trail_points=entry_price * trailStopPercent/100) // Set stop loss and trailing stop for short position