首页
学习
活动
专区
圈层
工具
发布
社区首页 >问答首页 >策略退出未正确触发

策略退出未正确触发
EN

Stack Overflow用户
提问于 2020-09-22 16:56:10
回答 1查看 268关注 0票数 1

谢谢你的检查,希望你能帮我。

我已经创建了一个代码,它同时考虑了布林线和RSI指标,并创建了一个策略,当收盘位于BB的较低波段下方,RSI显示超卖,信号是买入,退出应该是当收盘回到布林线的基准线上方时。

另外,当收盘位于波林线上段上方,RSI显示超买时,信号是卖出,退出应该是当收盘回到波林线基准线以下时。

然而,出口有一些问题,因为它有时正确触发,有时不正确。请注意,我已经补充说,如果在相反方向上有200点子的移动,它应该关闭交易。

在下面你会找到代码。请告诉我我做错了什么。谢谢!

代码语言:javascript
复制
// © hkanaan0

//@version=3
// 1. Define strategy settings
strategy(title="Bollinger Breakout", overlay=true,
     pyramiding=0, initial_capital=100000,
     commission_type=strategy.commission.cash_per_order,
     commission_value=4, slippage=2)

smaLength = input(title="SMA Length", type=integer, defval=50)
stdLength = input(title="StdDev Length", type=integer, defval=50)

ubOffset = input(title="Upper Band Offset", type=float, defval=2, step=0.5)
lbOffset = input(title="Lower Band Offset", type=float, defval=2, step=0.5)

usePosSize = input(title="Use Position Sizing?", type=bool, defval=true)
riskPerc   = input(title="Risk %", type=float, defval=0.5, step=0.25)

rsiSource = input(title = "RSI Source", type = source, defval = hlc3)
rsiLength = input(title = "RSI Length", type = integer, defval = 14)
rsiOverbought = input(title = "RSI Overbought Level", type = integer, defval = 70)
rsiOversold = input(title = "RSI Oversold Level", type = integer, defval = 30)

// 2. Calculate strategy values
rsiValue = rsi(rsiSource, rsiLength)
isRSIOB = rsiValue >= rsiOverbought
isRSIOS = rsiValue <= rsiOversold
isBullish = crossover(rsiValue, 55)
isBearish = crossunder(rsiValue, 45)

smaValue = sma(hlc3, smaLength)
stdDev   = stdev(hlc3, stdLength)

upperBand = smaValue + (stdDev * ubOffset)
lowerBand = smaValue - (stdDev * lbOffset)

riskEquity  = (riskPerc / 100) * strategy.equity
atrCurrency = (atr(20) * syminfo.pointvalue)
posSize     = usePosSize ? floor(riskEquity / atrCurrency) : 1

// 3. Output strategy data
plot(series=smaValue, title="SMA", color=blue, linewidth=2)

plot(series=upperBand, title="UB", color=green,
     linewidth=4)
plot(series=lowerBand, title="LB", color=red,
     linewidth=4)
     
//plotshape(isRSIOB, title="Overbought" , location=location.abovebar , color=red , transp=0 , style=shape.triangledown , text="Sell")
//plotshape(isRSIOS, title = "Oversold", location = location.belowbar, color =lime, transp = 0, style = shape.triangleup, text = "Buy")
plotshape(isBullish, title = "Bullish Momentum", location=location.abovebar, color=lime, transp = 0, style = shape.arrowup, text = "Bullish")
plotshape(isBearish, title = "Bearish Momentum", location=location.belowbar, color=red, transp = 0, style = shape.arrowdown, text = "Bearish")


// 4. Determine long trading conditions
enterLong = crossunder(close, lowerBand) and isRSIOS
exitLong  = crossover(close, smaValue)

// 5. Code short trading conditions
enterShort = crossover(close, upperBand) and isRSIOB
exitShort  = crossunder(close, smaValue)

// 6. Submit entry orders
if (enterLong)
    strategy.order(id="Enter Long", long=true, qty=posSize)

if (enterShort)
    strategy.order(id="Enter Short", long=false, qty=posSize)

// 7. Submit exit orders
strategy.exit(id="Exit Long", when=exitLong, loss = 200)
strategy.exit(id="Exit Short", when=exitShort, loss = 200)```
EN

回答 1

Stack Overflow用户

回答已采纳

发布于 2020-09-24 06:05:31

实际情况是,当exit_short或exit_long触发时,会计算出200pip。因此,如果exit_short在12000触发,那么价格指令只会在11800发生,即使你在13000做空。

为了解决这个问题,我计算了当你进入市场时的止损价格:

代码语言:javascript
复制
opened_order = strategy.position_size[0] != 0 and strategy.position_size[1] == 0

如果您当时没有处于某个位置,但现在处于某个位置,则strategy.position_size会发生变化。因此,当您打开订单时,我使用valuewhen(opened_order, close, 0)来获取收盘价。我接受这个价格,根据订单打开的方向,+- 200个刻度。

最后,如果当前的低/高已经触及止损价,头寸就会结清。我也做了不同的评论,所以你可以看看交易是否停止了,或者你是否获利了。为此,我必须将PineScript更新为v4,所以如果您不想要注释,可以直接删除它们。

代码如下:

代码语言:javascript
复制
// Strategy settings
strategy(title="Bollinger Breakout", overlay=true,
     pyramiding=0, initial_capital=100000,
     calc_on_order_fills = true,
     commission_type=strategy.commission.cash_per_order,
     commission_value=4, slippage=2)

smaLength = input(title="SMA Length", defval=50)
stdLength = input(title="StdDev Length", defval=50)

ubOffset = input(title="Upper Band Offset", defval=2, step=0.5)
lbOffset = input(title="Lower Band Offset", defval=2, step=0.5)

usePosSize = input(title="Use Position Sizing?", defval=false)
riskPerc   = input(title="Risk %", defval=2.5, step=0.25)

rsiSource = input(title = "RSI Source", defval = hlc3)
rsiLength = input(title = "RSI Length", defval = 14)
rsiOverbought = input(title = "RSI Overbought Level", defval = 70)
rsiOversold = input(title = "RSI Oversold Level", defval = 30)

// Calculate strategy values
rsiValue = rsi(rsiSource, rsiLength)
isRSIOB = rsiValue >= rsiOverbought
isRSIOS = rsiValue <= rsiOversold
isBullish = crossover(rsiValue, 55)
isBearish = crossunder(rsiValue, 45)

smaValue = sma(hlc3, smaLength)
stdDev   = stdev(hlc3, stdLength)

upperBand = smaValue + (stdDev * ubOffset)
lowerBand = smaValue - (stdDev * lbOffset)

riskEquity  = (riskPerc / 100) * strategy.equity
atrCurrency = (atr(20) * syminfo.pointvalue)
posSize     = usePosSize ? floor(riskEquity / atrCurrency) : 1

in_market = strategy.opentrades != 0
opened_order = strategy.position_size[0] != 0 and strategy.position_size[1] == 0
is_long = strategy.position_size > 0
is_short = strategy.position_size < 0
bought = is_long[0] and not is_long[1]
sold = is_short[0] and not is_short[1]

// Output strategy data

plot(series=smaValue, title="SMA", color=color.blue, linewidth=2)
plot(series=upperBand, title="UB", color=color.green, linewidth=4)
plot(series=lowerBand, title="LB", color=color.red, linewidth=4)

// Determine long trading conditions

enterLong = crossunder(close, lowerBand) and isRSIOS
plotshape(enterLong, title="Entry long signal", location=location.abovebar, color=color.lime, style=shape.triangledown)
exitLong  = crossover(close, smaValue)

// Determine short trading conditions

enterShort = crossover(close, upperBand) and isRSIOB
plotshape(enterShort, title="Entry short signal", location=location.belowbar, color=color.red, style = shape.triangleup)
exitShort  = crossunder(close, smaValue)

// Stop loss calculations

moving_stop_price_long = not in_market ? close - (200 * syminfo.mintick) : na
moving_stop_price_short = not in_market ? close + (200 * syminfo.mintick) : na
stop_price = is_long ? valuewhen(bought, close[1], 0) - (200 * syminfo.mintick): is_short ? valuewhen(sold, close[1], 0) + (200 * syminfo.mintick) : na
plot(stop_price ? stop_price : stop_price[1], "Stop price", color.red, 2, plot.style_linebr)

// Submit entry orders

if enterLong and not in_market
    strategy.order(id="Long", long=true, qty=posSize)

if enterShort and not in_market
    strategy.order(id="Short", long=false, qty=posSize)

// Submit exit orders
if is_long
    strategy.exit("Long", limit=exitLong ? close : na, stop=stop_price)
if is_short
    strategy.exit("Short", limit=exitShort ? close : na, stop=stop_price)
票数 0
EN
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/64006309

复制
相关文章

相似问题

领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档