SuperTrend Strategy의 JavaScript 버전

TV에는 SuperTrend 지표의 여러 버전이 있습니다. 이해하기 쉬운 알고리즘을 찾아 이식했습니다. Inventor Quantitative Trading Platform Backtesting System의 TV 차트에 로드된 SuperTrend 지표와 비교했는데 약간의 차이가 있었습니다. 아직 이유를 알아내지 못했습니다. 모든 독자의 지도를 기대합니다. 몇 가지 아이디어를 던져보겠습니다.

SuperTrend 지표 JavaScript 버전 알고리즘

// VIA: https://github.com/freqtrade/freqtrade-strategies/issues/30

function SuperTrend(r, period, multiplier) {
    // atr
    var atr = talib.ATR(r, period)

    // baseUp , baseDown
    var baseUp = []
    var baseDown = []
    for (var i = 0; i < r.length; i++) {
        if (isNaN(atr[i])) {
            baseUp.push(NaN)
            baseDown.push(NaN)
            continue
        }
        baseUp.push((r[i].High + r[i].Low) / 2 + multiplier * atr[i])
        baseDown.push((r[i].High + r[i].Low) / 2 - multiplier * atr[i])
    }

    // fiUp , fiDown
    var fiUp = []
    var fiDown = []
    var prevFiUp = 0
    var prevFiDown = 0
    for (var i = 0; i < r.length; i++) {
        if (isNaN(baseUp[i])) {
            fiUp.push(NaN)
        } else {
            fiUp.push(baseUp[i] < prevFiUp || r[i - 1].Close > prevFiUp ? baseUp[i] : prevFiUp)
            prevFiUp = fiUp[i]
        }

        if (isNaN(baseDown[i])) {
            fiDown.push(NaN)
        } else {
            fiDown.push(baseDown[i] > prevFiDown || r[i - 1].Close < prevFiDown ? baseDown[i] : prevFiDown)
            prevFiDown = fiDown[i]
        }
    }

    var st = []
    var prevSt = NaN
    for (var i = 0; i < r.length; i++) {
        if (i < period) {
            st.push(NaN)
            continue
        }

        var nowSt = 0
        if (((isNaN(prevSt) && isNaN(fiUp[i - 1])) || prevSt == fiUp[i - 1]) && r[i].Close <= fiUp[i]) {
            nowSt = fiUp[i]
        } else if (((isNaN(prevSt) && isNaN(fiUp[i - 1])) || prevSt == fiUp[i - 1]) && r[i].Close > fiUp[i]) {
            nowSt = fiDown[i]
        } else if (((isNaN(prevSt) && isNaN(fiDown[i - 1])) || prevSt == fiDown[i - 1]) && r[i].Close >= fiDown[i]) {
            nowSt = fiDown[i]
        } else if (((isNaN(prevSt) && isNaN(fiDown[i - 1])) || prevSt == fiDown[i - 1]) && r[i].Close < fiDown[i]) {
            nowSt = fiUp[i]
        }

        st.push(nowSt)
        prevSt = st[i]
    }

    var up = []
    var down = []
    for (var i = 0; i < r.length; i++) {
        if (isNaN(st[i])) {
            up.push(st[i])
            down.push(st[i])
        }

        if (r[i].Close < st[i]) {
            down.push(st[i])
            up.push(NaN)
        } else {
            down.push(NaN)
            up.push(st[i])
        }
    }

    return [up, down]
}

// 测试指标用的main函数，并非交易策略
function main() {
    while (1) {
        var r = _C(exchange.GetRecords)
        var st = SuperTrend(r, 10, 3)

        $.PlotRecords(r, "K")
        $.PlotLine("L", st[0][st[0].length - 2], r[r.length - 2].Time)
        $.PlotLine("S", st[1][st[1].length - 2], r[r.length - 2].Time)

        Sleep(2000)
    }
}

테스트 코드 백테스트 비교:

SuperTrend 지표를 활용한 간단한 전략

거래 논리는 비교적 간단합니다. 즉, 단기 추세가 장기 추세로 바뀌면 장기 포지션을 여는 것입니다. 강세 추세가 약세 추세로 바뀌면 숏 포지션을 엽니다.

전략 매개변수:

SuperTrend 트레이딩 전략

/*backtest
start: 2019-08-01 00:00:00
end: 2020-03-11 00:00:00
period: 15m
basePeriod: 5m
exchanges: [{"eid":"Futures_OKCoin","currency":"BTC_USD"}]
*/

// 全局变量
var OpenAmount = 0                                                  // 开仓后持仓的数量
var KeepAmount = 0                                                  // 保留仓位
var IDLE = 0
var LONG = 1
var SHORT = 2
var COVERLONG = 3
var COVERSHORT = 4
var COVERLONG_PART = 5
var COVERSHORT_PART = 6
var OPENLONG = 7
var OPENSHORT = 8

var State = IDLE

// 交易逻辑部分
function GetPosition(posType) {
    var positions = _C(exchange.GetPosition)
    /*
    if(positions.length > 1){
        throw "positions error:" + JSON.stringify(positions)
    }
    */
    var count = 0
    for(var j = 0; j < positions.length; j++){
        if(positions[j].ContractType == Symbol){
            count++
        }
    }

    if(count > 1){
        throw "positions error:" + JSON.stringify(positions)
    }

    for (var i = 0; i < positions.length; i++) {
        if (positions[i].ContractType == Symbol && positions[i].Type === posType) {
            return [positions[i].Price, positions[i].Amount];
        }
    }
    
    Sleep(TradeInterval);
    return [0, 0]
}

function CancelPendingOrders() {
    while (true) {
        var orders = _C(exchange.GetOrders)
        for (var i = 0; i < orders.length; i++) {
            exchange.CancelOrder(orders[i].Id);
            Sleep(TradeInterval);
        }
        if (orders.length === 0) {
            break;
        }
    }
}

function Trade(Type, Price, Amount, CurrPos, OnePriceTick){    // 处理交易
    if(Type == OPENLONG || Type == OPENSHORT){              // 处理开仓
        exchange.SetDirection(Type == OPENLONG ? "buy" : "sell")
        var pfnOpen = Type == OPENLONG ? exchange.Buy : exchange.Sell
        var idOpen = pfnOpen(Price, Amount, CurrPos, OnePriceTick, Type)
        Sleep(TradeInterval)
        if(idOpen) {
            exchange.CancelOrder(idOpen)
        } else {
            CancelPendingOrders()
        }
    } else if(Type == COVERLONG || Type == COVERSHORT){     // 处理平仓
        exchange.SetDirection(Type == COVERLONG ? "closebuy" : "closesell")
        var pfnCover = Type == COVERLONG ? exchange.Sell : exchange.Buy
        var idCover = pfnCover(Price, Amount, CurrPos, OnePriceTick, Type)
        Sleep(TradeInterval)
        if(idCover){
            exchange.CancelOrder(idCover)
        } else {
            CancelPendingOrders()
        }
    } else {
        throw "Type error:" + Type
    }
}

function SuperTrend(r, period, multiplier) {
    // atr
    var atr = talib.ATR(r, period)

    // baseUp , baseDown
    var baseUp = []
    var baseDown = []
    for (var i = 0; i < r.length; i++) {
        if (isNaN(atr[i])) {
            baseUp.push(NaN)
            baseDown.push(NaN)
            continue
        }
        baseUp.push((r[i].High + r[i].Low) / 2 + multiplier * atr[i])
        baseDown.push((r[i].High + r[i].Low) / 2 - multiplier * atr[i])
    }

    // fiUp , fiDown
    var fiUp = []
    var fiDown = []
    var prevFiUp = 0
    var prevFiDown = 0
    for (var i = 0; i < r.length; i++) {
        if (isNaN(baseUp[i])) {
            fiUp.push(NaN)
        } else {
            fiUp.push(baseUp[i] < prevFiUp || r[i - 1].Close > prevFiUp ? baseUp[i] : prevFiUp)
            prevFiUp = fiUp[i]
        }

        if (isNaN(baseDown[i])) {
            fiDown.push(NaN)
        } else {
            fiDown.push(baseDown[i] > prevFiDown || r[i - 1].Close < prevFiDown ? baseDown[i] : prevFiDown)
            prevFiDown = fiDown[i]
        }
    }

    var st = []
    var prevSt = NaN
    for (var i = 0; i < r.length; i++) {
        if (i < period) {
            st.push(NaN)
            continue
        }

        var nowSt = 0
        if (((isNaN(prevSt) && isNaN(fiUp[i - 1])) || prevSt == fiUp[i - 1]) && r[i].Close <= fiUp[i]) {
            nowSt = fiUp[i]
        } else if (((isNaN(prevSt) && isNaN(fiUp[i - 1])) || prevSt == fiUp[i - 1]) && r[i].Close > fiUp[i]) {
            nowSt = fiDown[i]
        } else if (((isNaN(prevSt) && isNaN(fiDown[i - 1])) || prevSt == fiDown[i - 1]) && r[i].Close >= fiDown[i]) {
            nowSt = fiDown[i]
        } else if (((isNaN(prevSt) && isNaN(fiDown[i - 1])) || prevSt == fiDown[i - 1]) && r[i].Close < fiDown[i]) {
            nowSt = fiUp[i]
        }

        st.push(nowSt)
        prevSt = st[i]
    }

    var up = []
    var down = []
    for (var i = 0; i < r.length; i++) {
        if (isNaN(st[i])) {
            up.push(st[i])
            down.push(st[i])
        }

        if (r[i].Close < st[i]) {
            down.push(st[i])
            up.push(NaN)
        } else {
            down.push(NaN)
            up.push(st[i])
        }
    }

    return [up, down]
}

var preTime = 0
function main() {
    exchange.SetContractType(Symbol)
    
    while (1) {
        var r = _C(exchange.GetRecords)
        var currBar = r[r.length - 1]
        if (r.length < pd) {
            Sleep(5000)
            continue    
        }
        
        var st = SuperTrend(r, pd, factor)
             
        $.PlotRecords(r, "K")
        $.PlotLine("L", st[0][st[0].length - 2], r[r.length - 2].Time)
        $.PlotLine("S", st[1][st[1].length - 2], r[r.length - 2].Time)
        
        if(!isNaN(st[0][st[0].length - 2]) && isNaN(st[0][st[0].length - 3])){  
            if (State == SHORT) {
                State = COVERSHORT
            } else if(State == IDLE) {
                State = OPENLONG
            }
        }

        if(!isNaN(st[1][st[1].length - 2]) && isNaN(st[1][st[1].length - 3])){  
            if (State == LONG) {
                State = COVERLONG 
            } else if (State == IDLE) {
                State = OPENSHORT
            }
        }

        // 执行信号
        var pos = null
        var price = null
        if(State == OPENLONG){                          // 开多仓
            pos = GetPosition(PD_LONG)                  // 检查持仓
                                                        // 判断是不是 满足状态，如果满足 修改状态
            if(pos[1] >= Amount){                       // 持仓超过或者等于参数设置的 开仓量
                Sleep(1000)
                $.PlotFlag(currBar.Time, "开多仓", 'OL') // 标记
                
                OpenAmount = pos[1]                     // 记录开仓数
                State = LONG                            // 标记为 做多状态
                continue
            }
            price = currBar.Close - (currBar.Close % PriceTick) + PriceTick * 2     // 计算价格
            Trade(OPENLONG, price, Amount - pos[1], pos, PriceTick)                 // 下单函数 (Type, Price, Amount, CurrPos, PriceTick)
        }

        if(State == OPENSHORT){                         // 开空仓
            pos = GetPosition(PD_SHORT)                 // 检查持仓
            if(pos[1] >= Amount){
                Sleep(1000)
                $.PlotFlag(currBar.Time, "开空仓", 'OS')
                
                OpenAmount = pos[1]
                State = SHORT
                continue
            }
            price = currBar.Close - (currBar.Close % PriceTick) - PriceTick * 2
            Trade(OPENSHORT, price, Amount - pos[1], pos, PriceTick)
        }

        if(State == COVERLONG){                                         // 处理平多仓
            pos = GetPosition(PD_LONG)                                  // 获取持仓信息
            if(pos[1] == 0){                                            // 判断持仓是否为 0
                $.PlotFlag(currBar.Time, "平多仓", '----CL')             // 标记
                State = IDLE
                continue
            }
            price = currBar.Close - (currBar.Close % PriceTick) - PriceTick * 2
            Trade(COVERLONG, price, pos[1], pos, PriceTick)
        }
    
        if(State == COVERSHORT){                                        // 处理做多仓
            pos = GetPosition(PD_SHORT)
            if(pos[1] == 0){
                $.PlotFlag(currBar.Time, "平空仓", '----CS')
                State = IDLE
                continue
            }
            price = currBar.Close - (currBar.Close % PriceTick) + PriceTick * 2
            Trade(COVERSHORT, price, pos[1], pos, PriceTick)
        }

        if(State == COVERLONG_PART) {                                   // 部分平多仓
            pos = GetPosition(PD_LONG)                                  // 获取持仓
            if(pos[1] <= KeepAmount){                                   // 持仓小于等于 保持量，本次平仓完成
                $.PlotFlag(currBar.Time, "平多仓,保留：" + KeepAmount, '----CL')     // 标记
                State = pos[1] == 0 ? IDLE : LONG                                  // 更新状态
                continue
            }
            price = currBar.Close - (currBar.Close % PriceTick) - PriceTick * 2
            Trade(COVERLONG, price, pos[1] - KeepAmount, pos, PriceTick)
        }

        if(State == COVERSHORT_PART){
            pos = GetPosition(PD_SHORT)
            if(pos[1] <= KeepAmount){
                $.PlotFlag(currBar.Time, "平空仓,保留：" + KeepAmount, '----CS')
                State = pos[1] == 0 ? IDLE : SHORT
                continue
            }
            price = currBar.Close - (currBar.Close % PriceTick) + PriceTick * 2
            Trade(COVERSHORT, price, pos[1] - KeepAmount, pos, PriceTick)
        }

        LogStatus(_D())
        Sleep(1000)
    }
}

전략 주소: https://www.fmz.com/strategy/201837

백테스트 성과

매개변수 설정, K-라인 기간, 참조: 설교SuperTrend V.1–슈퍼 트렌드 라인 시스템 K-라인 기간은 15분으로 설정되고, SuperTrend 매개변수는 45.3으로 설정되었습니다. 작년에 OKEX 선물 분기 계약을 백테스트하여 거래당 계약 1개를 설정합니다. 매번 계약 1개만 거래되므로 자본 활용률이 매우 낮고 샤프 값에 대해 걱정할 필요가 없습니다.

이 전략은 학습만을 위한 것이므로 실제 거래에서는 주의해서 사용하시기 바랍니다.