
Ini adalah strategi perdagangan kuantitatif yang menggabungkan trend mengikuti dan analisis teknikal. Strategi ini mengesahkan isyarat perdagangan melalui pelbagai petunjuk teknikal, menggunakan mekanisme pengendalian posisi berturut-turut dan dinamik, yang bertujuan untuk menangkap trend utama di pasaran sambil mengawal risiko. Strategi ini mengintegrasikan beberapa petunjuk teknikal seperti EMA, MACD dan RSI untuk mengenal pasti peluang perdagangan yang berpotensi melalui persilangan dan perpindahan antara petunjuk.
Logik perdagangan strategi ini adalah berdasarkan kepada beberapa elemen utama:
Strategi ini membina sistem perdagangan yang agak sempurna dengan penggunaan gabungan pelbagai petunjuk teknikal, digabungkan dengan penghadaman berturut-turut dan pengurusan kedudukan yang dinamik. Kelebihan strategi ini adalah kawalan risiko yang komprehensif, kebolehpercayaan isyarat perdagangan yang tinggi, tetapi ada kelemahan yang mungkin terlepas beberapa situasi. Dengan pengoptimuman berterusan dan penyesuaian parameter, strategi ini dijangka mengekalkan prestasi yang stabil dalam pelbagai keadaan pasaran.
/*backtest
start: 2024-02-10 00:00:00
end: 2025-02-08 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=6
strategy("Hang Strategy Aggressive", overlay=true, initial_capital=1000, currency=currency.USDT, default_qty_type=strategy.cash, default_qty_value=100)
// === 参数设置 ===
fastLength = input.int(5, "快速EMA长度")
slowLength = input.int(15, "慢速EMA长度")
rsiLength = input.int(7, "RSI长度")
atrPeriod = input.int(10, "ATR周期")
leverageMultiple = input.float(3.0, "杠杆倍数", minval=1.0, step=0.5)
// === 止盈止损参数 ===
stopLossPercent = input.float(5.0, "止损百分比", minval=1.0, step=0.5)
firstTakeProfitPercent = input.float(8.0, "第一止盈点百分比", minval=1.0, step=0.5)
secondTakeProfitPercent = input.float(12.0, "第二止盈点百分比", minval=1.0, step=0.5)
firstTakeProfitQtyPercent = input.float(50.0, "第一止盈仓位百分比", minval=1.0, maxval=100.0, step=5.0)
// === 技术指标 ===
fastEMA = ta.ema(close, fastLength)
slowEMA = ta.ema(close, slowLength)
superFastEMA = ta.ema(close, 3)
rsi = ta.rsi(close, rsiLength)
atr = ta.atr(atrPeriod)
// === 趋势判断 ===
[macdLine, signalLine, histLine] = ta.macd(close, 12, 26, 9)
macdCross = (macdLine > signalLine) and (macdLine[1] < signalLine[1])
macdCrossDown = (macdLine < signalLine) and (macdLine[1] > signalLine[1])
// === 交易信号 ===
longCondition = (fastEMA > slowEMA) and macdCross and (rsi < 70)
shortCondition = (fastEMA < slowEMA) and macdCrossDown and (rsi > 30)
// === 平仓信号 ===
exitLong = shortCondition or (fastEMA < slowEMA)
exitShort = longCondition or (fastEMA > slowEMA)
// === 仓位管理 ===
maxRiskPerTrade = 0.05
basePosition = strategy.equity * maxRiskPerTrade
atrAmount = atr * close
riskPosition = basePosition / atrAmount * leverageMultiple
positionSize = math.min(riskPosition, strategy.equity * 0.4 / close)
// === 交易状态变量 ===
var isLong = false
var isShort = false
var partialTpTriggered = false
var float stopPrice = na
var float firstTpPrice = na
var float secondTpPrice = na
var float firstTpQty = na
// === 交易执行 ===
// 多头入场
if (longCondition and not isLong and not isShort)
strategy.entry("多", strategy.long, qty=positionSize)
isLong := true
partialTpTriggered := false
// 空头入场
if (shortCondition and not isShort and not isLong)
strategy.entry("空", strategy.short, qty=positionSize)
isShort := true
partialTpTriggered := false
// === 止盈止损逻辑 ===
if (strategy.position_size > 0) // 多仓
stopPrice := strategy.position_avg_price * (1 - stopLossPercent/100)
firstTpPrice := strategy.position_avg_price * (1 + firstTakeProfitPercent/100)
// 只在未触发第一止盈时计算第二止盈价格
if not partialTpTriggered
secondTpPrice := strategy.position_avg_price * (1 + secondTakeProfitPercent/100)
if (close[1] <= stopPrice or low <= stopPrice)
strategy.close_all("多止损")
isLong := false
partialTpTriggered := false
if (not partialTpTriggered and (close[1] >= firstTpPrice or high >= firstTpPrice))
strategy.order("多第一止盈", strategy.short, qty=firstTpQty)
partialTpTriggered := true
// 在这里重新计算第二止盈价格
secondTpPrice := high * (1 + 0.04) // 基于当前最高价再上涨4%
if (close[1] >= secondTpPrice or high >= secondTpPrice)
strategy.close_all("多第二止盈")
isLong := false
partialTpTriggered := false
if (strategy.position_size < 0) // 空仓
stopPrice := strategy.position_avg_price * (1 + stopLossPercent/100)
firstTpPrice := strategy.position_avg_price * (1 - firstTakeProfitPercent/100)
// 只在未触发第一止盈时计算第二止盈价格
if not partialTpTriggered
secondTpPrice := strategy.position_avg_price * (1 - secondTakeProfitPercent/100)
if (close[1] >= stopPrice or high >= stopPrice)
strategy.close_all("空止损")
isShort := false
partialTpTriggered := false
if (not partialTpTriggered and (close[1] <= firstTpPrice or low <= firstTpPrice))
strategy.order("空第一止盈", strategy.long, qty=firstTpQty)
partialTpTriggered := true
// 在这里重新计算第二止盈价格
secondTpPrice := low * (1 - 0.04) // 基于当前最低价再下跌4%
if (close[1] <= secondTpPrice or low <= secondTpPrice)
strategy.close_all("空第二止盈")
isShort := false
partialTpTriggered := false
// === 其他平仓条件 ===
if (exitLong and isLong)
strategy.close_all("多平仓")
isLong := false
partialTpTriggered := false
if (exitShort and isShort)
strategy.close_all("空平仓")
isShort := false
partialTpTriggered := false
// === 绘图 ===
plot(fastEMA, "快速EMA", color=color.blue)
plot(slowEMA, "慢速EMA", color=color.red)
plot(superFastEMA, "超快EMA", color=color.green)
// 绘制止盈止损线
plot(strategy.position_size != 0 ? strategy.position_avg_price : na, "开仓价", color=color.yellow)
plot(strategy.position_size != 0 ? stopPrice : na, "止损线", color=color.red)
plot(strategy.position_size != 0 ? firstTpPrice : na, "第一止盈线", color=color.green)
plot(strategy.position_size != 0 ? secondTpPrice : na, "第二止盈线", color=color.blue)