本策略基于凯斯(Kase)先生的动态止损理论而设计。该策略通过计算价格的动态波动范围,寻找最佳的止损和止盈价格点,实现盈亏平衡。
策略原理:
计算价格的动态波动范围指数RWH和RWL。
根据RWH和RWL得到价格偏离程度指数Pk。
当Pk>0时,根据偏离程度计算止损价位。当Pk时,计算止盈价位。
可选择止损止盈的偏离倍数,一般为标准差的1-3倍。
当价格触碰止损止盈价位时,进行反向操作。
该策略的优势:
动态计算止损止盈点,可根据市场波动进行调整。
停损点不会过于接近或过于宽松。
数学计算方式可避免主观情绪影响判断。
该策略的风险:
计算止损价位存在滞后,可能错过最佳止损时点。
需优化偏离倍数参数,以平衡止损止盈。
无法限制单笔亏损大小,存在大单损失风险。
总之,该策略可在一定程度上智能优化止损止盈设置,但其效果仍需经过回测验证,且不能完全规避SUBJECTIVE 主观风险,投资者仍需谨慎。
/*backtest
start: 2023-01-01 00:00:00
end: 2023-04-15 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 09/10/2019
// The Kase Dev Stops system finds the optimal statistical balance between letting profits run,
// while cutting losses. Kase DevStop seeks an ideal stop level by accounting for volatility (risk),
// the variance in volatility (the change in volatility from bar to bar), and volatility skew
// (the propensity for volatility to occasionally spike incorrectly).
//
// Kase Dev Stops are set at points at which there is an increasing probability of reversal against
// the trend being statistically significant based on the log normal shape of the range curve.
// Setting stops will help you take as much risk as necessary to stay in a good position, but not more.
//
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
strategy(title="Kase Dev Stops Backtest", overlay = true)
Length = input(30, minval=2, maxval = 100)
Level = input(title="Trade From Level", defval=4, options=[1, 2, 3, 4])
reverse = input(false, title="Trade reverse")
RWH = (high - low[Length]) / (atr(Length) * sqrt(Length))
RWL = (high[Length] - low) / (atr(Length) * sqrt(Length))
Pk = wma((RWH-RWL),3)
AVTR = sma(highest(high,2) - lowest(low,2), 20)
SD = stdev(highest(high,2) - lowest(low,2),20)
Val4 = iff(Pk>0, highest(high-AVTR-3*SD,20), lowest(low+AVTR+3*SD,20))
Val3 = iff(Pk>0, highest(high-AVTR-2*SD,20), lowest(low+AVTR+2*SD,20))
Val2 = iff(Pk>0, highest(high-AVTR-SD,20), lowest(low+AVTR+SD,20))
Val1 = iff(Pk>0, highest(high-AVTR,20), lowest(low+AVTR,20))
ResPrice = iff(Level == 4, Val4,
iff(Level == 3, Val3,
iff(Level == 2, Val2,
iff(Level == 1, Val1, Val4))))
pos = iff(close < ResPrice , -1, 1)
possig = iff(reverse and pos == 1, -1,
iff(reverse and pos == -1 , 1, pos))
if (possig == 1)
strategy.entry("Long", strategy.long)
if (possig == -1)
strategy.entry("Short", strategy.short)
if (possig == 0)
strategy.close_all()
barcolor(possig == -1 ? #b50404: possig == 1 ? #079605 : #0536b3 )