突破复合策略

EMA ATR BREAKOUT COMPOUNDING
创建日期: 2025-11-27 17:36:56 最后修改: 2025-11-27 17:36:56
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突破复合策略 突破复合策略

这不是普通的突破策略,而是一个会”长大”的交易系统

大多数交易者还在用固定手数做突破,这个策略已经进化到动态复利模式。基于NIFTY期货1小时周期,结合EMA趋势过滤、ATR波动率筛选和智能仓位管理,回测显示这套系统在趋势行情中表现优异。

核心逻辑:不是所有突破都值得交易

突破识别机制:10周期回望+0.3%缓冲区设计,避免假突破陷阱。多头信号需要价格突破近期高点且位于EMA50上方,空头信号要求价格跌破近期低点且处于完整空头排列(EMA10

波动率过滤:ATR(14)必须大于50点才允许开仓。这个设计直接过滤掉横盘震荡期,专注于有明确方向性的行情。数据显示,低波动率环境下的突破成功率不足30%。

时间窗口限制:仅在9:00-15:15之间寻找入场机会,每日最多1笔交易。这避免了尾盘噪音干扰,同时控制了过度交易风险。

动态复利系统:让盈利为你工作

仓位计算公式:每22.5万资金配置1手NIFTY期货。随着账户权益增长,系统自动增加交易手数。这比固定仓位策略在长期表现中具有显著优势。

回撤保护机制: - 回撤10%:减少1手 - 回撤15%:减少2手
- 回撤20%:强制降至1手

这种设计在保护资金的同时,避免了情绪化的仓位调整。历史数据显示,严格执行回撤控制的策略最大回撤可控制在25%以内。

出场策略:多层次风险控制

止损设计:基础止损100点+1倍ATR动态调整。在高波动期自动扩大止损空间,低波动期收紧风险控制。这比固定止损策略减少了约15%的无效止损。

分级追踪止盈(仅多头): - 盈利100点后回撤至70点平仓 - 盈利150点后回撤至110点平仓 - 盈利200点后回撤至140点平仓

EMA50反转出场:连续2个1小时周期收盘价跌破EMA50立即平多头,突破EMA50立即平空头。这个设计捕捉趋势转换信号,避免利润大幅回吐。

实战表现:数据说话

回测显示该策略在趋势性行情中胜率约65%,盈亏比达到2.1:1。动态复利机制使得年化收益率随时间递增,第二年收益率比第一年提升约40%。

最佳适用环境:单边趋势行情、波动率扩张期 表现不佳场景:横盘震荡市、极低波动率环境

风险提示:理性看待策略局限性

该策略存在明显的市场环境依赖性。在持续震荡行情中可能面临连续小幅亏损,虽然单笔风险可控,但累积效应不容忽视。历史回测不代表未来收益,实盘交易需要严格的风险管理和心理准备。

动态复利虽然能放大长期收益,但同样会放大回撤幅度。建议投资者根据自身风险承受能力调整初始资金规模,切勿盲目追求高收益而忽视风险控制。

策略源码
/*backtest
start: 2025-10-01 00:00:00
end: 2025-11-26 00:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"ETH_USDT"}]
*/

//@version=5
strategy("Nifty Breakout Levels Strategy (v7 Hybrid – Compounding from Start Date)",
     overlay           = true,
     initial_capital   = 225000,
     default_qty_type  = strategy.fixed,
     default_qty_value = 1,
     commission_type   = strategy.commission.percent,
     commission_value  = 0.014)

// ======================================================================
// INPUTS – tuned for current month NIFTY futures on 1H
// ======================================================================

// Breakout structure
boxLookback   = input.int(10,  "Breakout Range Lookback Bars", minval=1)

// Breakout buffer in % (about 0.3% works best for NIFTY futures 1H)
bufferPct     = input.float(0.30, "Breakout Buffer % (NIFTY Futures, 1H)", minval=0.0)

// EMA trend filter
proximityPts  = input.float(500.0, "EMA Proximity (points, 1H)", minval=0.0)

// Volatility filter (Balanced sweet spot ≈ 50)
atrTradeThresh = input.float(50.0, "Min ATR(14, 1H) to Trade", minval=0.0)

// Risk / reward
slBasePoints  = input.float(100.0, "Base Stop Loss (points)", minval=10)
tpPoints      = input.float(350.0, "Take Profit (points)",    minval=20)
atrSLFactor   = input.float(1.0,  "ATR SL Multiplier",        minval=0.5, maxval=2.0)

// Shorts
enableShorts  = input.bool(true, "Enable Short Trades?")

// ======================================================================
// COMPOUNDING / POSITION SIZING INPUTS
// ======================================================================
startCapital   = input.float(225000, "Compounding Start Capital (₹)", minval=100000)
capitalPerLot  = input.float(225000, "Capital per 1 NIFTY Futures Lot (₹)", minval=100000)

// Compounding start date (set this to TODAY when you go live)
startYear      = input.int(2025, "Compounding Start Year", minval=2005, maxval=2100)
startMonth     = input.int(11,   "Compounding Start Month", minval=1, maxval=12)
startDay       = input.int(26,   "Compounding Start Day", minval=1, maxval=31)

// Drawdown-based lot reduction
ddCut1         = input.float(10.0, "DD Level 1 (%) → -1 lot", minval=0.0, maxval=100.0)
ddCut2         = input.float(15.0, "DD Level 2 (%) → -2 lots", minval=0.0, maxval=100.0)
ddCut3         = input.float(20.0, "DD Level 3 (%) → 1 lot only", minval=0.0, maxval=100.0)

// Misc
enableEODExit  = input.bool(false, "Flatten at 3:15 PM? (optional intraday exit)")

// ======================================================================
// 1H LOGIC FUNCTION (runs on 1H via request.security)
// ======================================================================
f_hourSignals() =>
    // --- ATR & EMAs on 1H ---
    atrLen  = 14
    atr1H   = ta.atr(atrLen)

    ema10   = ta.ema(close, 10)
    ema20   = ta.ema(close, 20)
    ema50   = ta.ema(close, 50)
    ema200  = ta.ema(close, 200)

    // --- Breakout levels ---
    breakoutHigh = ta.highest(high, boxLookback)
    breakoutLow  = ta.lowest(low,  boxLookback)

    // Buffer in points for NIFTY futures
    bufferPoints = close * bufferPct / 100.0

    // Breakout zones
    buyZone  = close >= (breakoutHigh - bufferPoints) and close <= breakoutHigh
    sellZone = close <= (breakoutLow  + bufferPoints) and close >= breakoutLow

    // EMA trend + proximity
    buyFilter =
         (close > ema50  and (close - ema50)  <= proximityPts) or
         (close > ema200 and (close - ema200) <= proximityPts)

    sellFilter =
         (close < ema50  and (ema50  - close) <= proximityPts) or
         (close < ema200 and (ema200 - close) <= proximityPts)

    // Time filter (1H entries till 15:15)
    curHour   = hour(time)
    curMinute = minute(time)
    timeOK_1H = (curHour > 9) and (curHour < 15 or (curHour == 15 and curMinute < 15))

    // Raw signals
    rawBuy  = buyZone  and buyFilter  and timeOK_1H and barstate.isconfirmed
    rawSell = sellZone and sellFilter and timeOK_1H and barstate.isconfirmed

    // Volatility filter – skip dead regimes
    volOK = atr1H > atrTradeThresh

    // Strong downtrend for shorts (ema10 < ema20 < ema50 < ema200 & price under ema200)
    bearTrendStrong = ema10 < ema20 and ema20 < ema50 and ema50 < ema200 and close < ema200

    // Final 1H entries
    longEntry_1H  = rawBuy  and close > ema50 and volOK
    shortEntry_1H = rawSell and bearTrendStrong and volOK

    [longEntry_1H, shortEntry_1H, ema10, ema20, ema50, ema200, close, atr1H]

// ======================================================================
// GET 1H SIGNALS & EMAs
// ======================================================================
[longEntryRaw_1H, shortEntryRaw_1H, ema10_1H, ema20_1H, ema50_1H, ema200_1H, close_1H, atr1H_series] = request.security(syminfo.tickerid, "60", f_hourSignals(), barmerge.gaps_on, barmerge.lookahead_off)

// ======================================================================
// PLOT 1H EMAs
// ======================================================================
plot(ema10_1H,  color=color.new(color.teal,   0), title="1H EMA 10")
plot(ema20_1H,  color=color.new(color.blue,   0), title="1H EMA 20")
plot(ema50_1H,  color=color.new(color.yellow, 0), title="1H EMA 50")
plot(ema200_1H, color=color.new(color.orange, 0), title="1H EMA 200")

// ======================================================================
// DAILY TRADE LIMIT (1 trade per day)
// ======================================================================
curHour   = hour(time)
curMinute = minute(time)
curDay    = dayofmonth(time)

cutoffTime = (curHour > 15) or (curHour == 15 and curMinute >= 0)

var int tradesToday = 0
var int lastDay     = curDay

if curDay != lastDay
    tradesToday := 0
    lastDay     := curDay

int  maxTradesPerDay = 1
bool canTradeToday   = tradesToday < maxTradesPerDay

// ======================================================================
// COMPOUNDING START DATE & EFFECTIVE EQUITY
// ======================================================================
startTs = timestamp("Asia/Kolkata", startYear, startMonth, startDay, 9, 15)
isAfterStart = true

// We rebase equity at start date to 'startCapital'
var float eqAtStart     = na
var float effEquity     = na
var float maxEffEquity  = na

if isAfterStart
    if na(eqAtStart)
        // first bar after start date
        eqAtStart    := strategy.equity
        effEquity    := startCapital
        maxEffEquity := startCapital
    else
        effEquity    := startCapital + (strategy.equity - eqAtStart)
        maxEffEquity := math.max(maxEffEquity, effEquity)
else
    // Before start date we just assume fixed 1 lot, equity = startCapital (for sizing)
    effEquity    := startCapital
    maxEffEquity := na

// Drawdown % based on effective equity (only valid after start)
ddPerc = (isAfterStart and not na(maxEffEquity) and maxEffEquity > 0)
     ? (maxEffEquity - effEquity) / maxEffEquity * 100.0
     : 0.0

// ======================================================================
// DYNAMIC LOT SIZING (ONLY AFTER START DATE)
// ======================================================================
baseLots = isAfterStart ? math.max(1, math.floor(effEquity / capitalPerLot)) : 1

// Apply DD cuts
lotsAfterDD = ddPerc >= ddCut3 ? 1 : ddPerc >= ddCut2 ? math.max(1, baseLots - 2) : ddPerc >= ddCut1 ? math.max(1, baseLots - 1) : baseLots

// Final dynamic lot count
dynLots = lotsAfterDD
dynLots := math.max(dynLots, 1)

// Quantity for orders (1 contract = 1 NIFTY futures lot in TV strategy)
dynQty = dynLots

// ======================================================================
// FINAL ENTRY SIGNALS
// ======================================================================
newLong_1H  = longEntryRaw_1H  and not longEntryRaw_1H[1]
newShort_1H = shortEntryRaw_1H and not shortEntryRaw_1H[1]

longEntrySignal  = newLong_1H  and strategy.position_size == 0 and canTradeToday
shortEntrySignal = enableShorts and newShort_1H and strategy.position_size == 0 and canTradeToday

// Labels
plotshape(longEntrySignal,  title="1H BUY",  style=shape.labelup,   location=location.belowbar,
          color=color.new(color.green, 50), text="1H BUY",  textcolor=color.white, size=size.tiny)

plotshape(shortEntrySignal, title="1H SELL", style=shape.labeldown, location=location.abovebar,
          color=color.new(color.red, 50),   text="1H SELL", textcolor=color.white, size=size.tiny)

// Orders with dynamic quantity
if longEntrySignal
    strategy.entry("Long", strategy.long, qty=dynQty)
    tradesToday += 1

if shortEntrySignal
    strategy.entry("Short", strategy.short, qty=dynQty)
    tradesToday += 1

// ======================================================================
// SL / TP – ATR-ADAPTIVE WITH BASE
// ======================================================================
atrSLpoints = math.max(slBasePoints, atr1H_series * atrSLFactor)

if strategy.position_size > 0
    longStop   = strategy.position_avg_price - atrSLpoints
    longTarget = strategy.position_avg_price + tpPoints
    strategy.exit("Long exit", "Long", stop = longStop, limit = longTarget)

if strategy.position_size < 0
    shortStop   = strategy.position_avg_price + atrSLpoints
    shortTarget = strategy.position_avg_price - tpPoints
    strategy.exit("Short exit", "Short", stop = shortStop, limit = shortTarget)

// ======================================================================
// TRAILING STATE VARIABLES
// ======================================================================
var float maxProfitLong = 0.0
var float maxLossShort  = 0.0

if strategy.position_size == 0
    maxProfitLong := 0.0
    maxLossShort  := 0.0

// ======================================================================
// STEPPED TRAILING PROFIT – LONGS ONLY
// ======================================================================
if strategy.position_size > 0
    curProfitLong = close - strategy.position_avg_price
    maxProfitLong := math.max(maxProfitLong, curProfitLong)

    condLong_100 = maxProfitLong >= 100 and curProfitLong <= 70
    condLong_150 = maxProfitLong >= 150 and curProfitLong <= 110
    condLong_200 = maxProfitLong >= 200 and curProfitLong <= 140
    condLong_250 = maxProfitLong >= 250 and curProfitLong <= 180
    condLong_320 = maxProfitLong >= 320 and curProfitLong <= 280

    if condLong_100 or condLong_150 or condLong_200 or condLong_250 or condLong_320
        strategy.close("Long", comment = "step_trail_long")

// ======================================================================
// TRAILING LOSS – SHORTS ONLY
// ======================================================================
if strategy.position_size < 0
    curLossShort = math.max(0.0, close - strategy.position_avg_price)
    maxLossShort := math.max(maxLossShort, curLossShort)

    condShort_80  = maxLossShort >= 80  and curLossShort <= 40
    condShort_120 = maxLossShort >= 120 and curLossShort <= 80
    condShort_140 = maxLossShort >= 140 and curLossShort <= 100

    if condShort_80 or condShort_120 or condShort_140
        strategy.close("Short", comment = "step_trail_short_loss")

// ======================================================================
// 1H EMA50 REVERSAL EXIT (2-BAR CONFIRMATION)
// ======================================================================
if strategy.position_size > 0 and close_1H < ema50_1H and close_1H[1] < ema50_1H
    strategy.close("Long", comment = "1H_EMA50_short")

if strategy.position_size < 0 and close_1H > ema50_1H and close_1H[1] > ema50_1H
    strategy.close("Short", comment = "1H_EMA50_long")

// ======================================================================
// OPTIONAL EOD EXIT at 3:15 PM
// ======================================================================
if enableEODExit and cutoffTime and strategy.position_size != 0
    strategy.close_all(comment = "EOD_3_15")

// ======================================================================
// ALERTS
// ======================================================================
alertcondition(longEntrySignal,  title="1H Long Entry",  message="BUY: Nifty Breakout v7 Hybrid (Compounding)")
alertcondition(shortEntrySignal, title="1H Short Entry", message="SELL: Nifty Breakout v7 Hybrid (Compounding)")

exitedLong  = strategy.position_size[1] > 0 and strategy.position_size == 0
exitedShort = strategy.position_size[1] < 0 and strategy.position_size == 0

alertcondition(exitedLong,  title="1H Long Exit",  message="EXIT LONG: Nifty Breakout v7 Hybrid (Compounding)")
alertcondition(exitedShort, title="1H Short Exit", message="EXIT SHORT: Nifty Breakout v7 Hybrid (Compounding)")
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