Esta estratégia usa uma combinação de Bollinger Bands e sinais do canal de Keltner para identificar tendências de mercado. Bollinger Bands é uma ferramenta de análise técnica que define canais com base em intervalos de volatilidade de preços. O sinal do canal de Keltner combina volatilidade de preços e tendências para determinar níveis de suporte ou resistência. Esta estratégia utiliza as vantagens de ambos os indicadores, julgando se ocorre uma cruz de ouro entre as bandas de Bollinger e os canais de Keltner para encontrar oportunidades longas e curtas.
Esta estratégia depende principalmente das bandas de Bollinger para julgar os intervalos de volatilidade e o momento. O canal de Keltner serve como uma ferramenta de verificação devido às suas características semelhantes, mas diferentes parâmetros.
A ampliação dos intervalos de stop loss ou a adição de indicadores de confirmação como o MACD podem reduzir os riscos de falsos sinais.
Esta estratégia combina Bandas de Bollinger e Canais de Keltner para identificar tendências, verificadas pelo volume de negociação.
/*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