这是一个基于唐奇安通道(Donchian Channel)的动量突破交易策略,结合了价格突破和交易量确认两个关键条件。该策略通过观察价格是否突破预定义的价格区间,并且要求成交量支撑,来捕捉市场的上涨趋势。策略采用了滞后参数来提高通道的稳定性,并提供了灵活的退出条件选择。
策略的核心逻辑包含以下几个关键部分: 1. 使用滞后型唐奇安通道作为主要技术指标,通过计算过去27个周期的最高价和最低价来构建上轨、中轨和下轨。 2. 入场条件需同时满足: - 收盘价突破唐奇安通道上轨 - 当前成交量大于过去27个周期平均成交量的1.4倍 3. 出场条件灵活可选: - 可选择在价格跌破上轨、中轨或下轨时退出 - 默认使用中轨作为退出信号 4. 通过10个周期的滞后参数来提高通道的稳定性,减少假突破。
这是一个设计合理、逻辑清晰的趋势跟踪策略。通过结合价格突破和成交量确认,策略在保证可靠性的同时也保持了较好的灵活性。策略的参数化设计使其具有良好的适应性,但同时也需要投资者根据具体市场情况进行优化调整。整体而言,这是一个值得进一步优化和实践的策略框架。
/*backtest
start: 2019-12-23 08:00:00
end: 2025-01-15 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT","balance":49999}]
*/
//@version=6
strategy("Breakout Strategy", overlay=true, calc_on_every_tick=false, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.1, pyramiding=1, fill_orders_on_standard_ohlc=true)
// Input Parameters
start_date = input(timestamp("2018-01-01 00:00"), "Start Date")
end_date = input(timestamp("2060-01-01 00:00"), "End Date")
in_time_range = true
length = input.int(27, title="Donchian Channel Length", minval=1, tooltip="Number of bars used to calculate the Donchian channel.")
lag = input.int(10, title="Donchian Channel Offset", minval=1, tooltip = "Offset to delay the Donchian channel, enhancing stability.")
volume_mult = input.float(1.4, title="Volume Multiplier", minval=0.1, step=0.1, tooltip="Multiplier for the average volume to filter breakout conditions.")
closing_condition = input.string("Mid", title="Trade Closing Band", options= ["Upper","Lower","Mid"], tooltip = "Donchian Channel Band to use for exiting trades: Upper, Lower, or Middle.") //
// Donchian Channel (Lagged for Stability)
upper_band = ta.highest(high[lag], length)
lower_band = ta.lowest(low[lag], length)
middle_band = (upper_band + lower_band) / 2
plot(upper_band, color=color.blue, title="Upper Band (Lagged)")
plot(middle_band, color=color.orange, title="Middle Band")
plot(lower_band, color=color.blue, title="Lower Band (Lagged)")
// Volume Filter
avg_volume = ta.sma(volume, length)
volume_condition = volume > avg_volume * volume_mult
// Long Breakout Condition
long_condition = close > upper_band and volume_condition
bool reverse_exit_condition = false
// Exit Condition (Close below the middle line)
if closing_condition == "Lower"
reverse_exit_condition := close < lower_band
else if closing_condition == "Upper"
reverse_exit_condition := close < upper_band
else
reverse_exit_condition := close < middle_band
// Long Strategy: Entry and Exit
if in_time_range and long_condition
strategy.entry("Breakout Long", strategy.long)
// Exit on Reverse Signal
if in_time_range and reverse_exit_condition
strategy.close("Breakout Long", comment="Reverse Exit")