ChaoZhang
概述
该策略用于捕捉短线反转交易机会。它会在连续N根K线都是上涨后开仓做空,在连续M根K线都是下跌后平仓。同时,该策略加入了时间段限制和止损止盈功能。
原理
- 输入参数:连续上涨K线数N,连续下跌K线数M
- 定义逻辑:
- ups统计上涨K线数,price>price[1]则+1,否则reset为0
- dns统计下跌K线数,price
- 入场:当ups≥N时,做空;当dns≥M时,平仓
- 出场:固定止损止盈或时间段结束
优势
- 捕捉反转交易机会,适合短线操作
- 可灵活设置交易时间段,适应不同交易计划
- 内置止损止盈功能,有助于风险控制
风险
- 短线反转不一定成功,可能再次反转导致损失
- 需要合理设置参数N、M,过大或过小都不利
- 停止时刻设置不当可能无法及时止损
优化方向
- 结合趋势指标避免逆势操作
- 动态调整参数N、M
- 优化止损机制
总结
该策略通过统计K线形态来捕捉短线交易机会。设置合理的参数以及风控措施对于获得稳定收益至关重要。通过进一步结合趋势判断及动态调整参数,可望获得更好的效果。
策略源码
/*backtest
start: 2023-11-13 00:00:00
end: 2023-11-20 00:00:00
period: 3h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
// Strategy
strategy("Up/Down Short Strategy", overlay=true, initial_capital = 10000, default_qty_value = 10000, default_qty_type = strategy.cash)
// There will be no short entries, only exits from long.
strategy.risk.allow_entry_in(strategy.direction.short)
consecutiveBarsUp = input(1, title='Consecutive Bars Up')
consecutiveBarsDown = input(1, title='Consecutive Bars Down')
price = close
ups = 0.0
ups := price > price[1] ? nz(ups[1]) + 1 : 0
dns = 0.0
dns := price < price[1] ? nz(dns[1]) + 1 : 0
// Strategy Backtesting
startDate = input(timestamp("2021-01-01T00:00:00"), type = input.time, title='Backtesting Start Date')
finishDate = input(timestamp("2021-12-31T00:00:00"), type = input.time, title='Backtesting End Date')
time_cond = true
//Time Restriction Settings
startendtime = input("", title='Time Frame To Enter Trades')
enableclose = input(false, title='Enable Close Trade At End Of Time Frame')
timetobuy = (time(timeframe.period, startendtime))
timetoclose = na(time(timeframe.period, startendtime))
// Stop Loss & Take Profit Tick Based
enablesltp = input(false, title='Enable Take Profit & Stop Loss')
stopTick = input(5.0, title='Stop Loss Ticks', type=input.float) / 100
takeTick = input(10.0, title='Take Profit Ticks', type=input.float) / 100
longStop = strategy.position_avg_price - stopTick
shortStop = strategy.position_avg_price + stopTick
shortTake = strategy.position_avg_price - takeTick
longTake = strategy.position_avg_price + takeTick
plot(strategy.position_size > 0 and enablesltp ? longStop : na, style=plot.style_linebr, color=color.red, linewidth=1, title="Long Fixed SL")
plot(strategy.position_size < 0 and enablesltp ? shortStop : na, style=plot.style_linebr, color=color.red, linewidth=1, title="Short Fixed SL")
plot(strategy.position_size > 0 and enablesltp ? longTake : na, style=plot.style_linebr, color=color.green, linewidth=1, title="Long Take Profit")
plot(strategy.position_size < 0 and enablesltp ? shortTake : na, style=plot.style_linebr, color=color.green, linewidth=1, title="Short Take Profit")
// Alert messages
message_enterlong = input("", title="Long Entry message")
message_entershort = input("", title="Short Entry message")
message_closelong = input("", title="Close Long message")
message_closeshort = input("", title="Close Short message")
message_takeprofit = input("", title="Take Profit message")
message_stoploss = input("", title="Stop Loss message")
// Strategy Execution
if (ups >= consecutiveBarsUp) and time_cond and timetobuy
strategy.entry("Long", strategy.long, stop = high + syminfo.mintick, alert_message = message_enterlong)
if (dns >= consecutiveBarsDown) and time_cond and timetobuy
strategy.entry("Short", strategy.short, stop = low + syminfo.mintick, alert_message = message_entershort)
if strategy.position_size > 0 and timetoclose and enableclose
strategy.close_all(alert_message = message_closelong)
if strategy.position_size < 0 and timetoclose and enableclose
strategy.close_all(alert_message = message_closeshort)
if strategy.position_size > 0 and enablesltp and time_cond
strategy.exit(id="Close Long", stop=longStop, limit=longTake, alert_message = message_takeprofit)
if strategy.position_size < 0 and enablesltp and time_cond
strategy.exit(id="Close Short", stop=shortStop, limit=shortTake, alert_message = message_stoploss)