
Bybit EMA RSI 趋势追踪与动量策略是一个结合了指数移动平均线(EMA)和相对强弱指数(RSI)的量化交易策略。该策略利用两条不同周期的EMA来判断市场趋势,同时使用RSI指标来确认趋势的有效性。当快速EMA上穿慢速EMA且RSI低于特定下限时,策略产生做多信号;反之,当快速EMA下穿慢速EMA且RSI高于特定上限时,策略产生做空信号。该策略还根据Bybit账户等级设置不同的手续费比例,并内置止盈止损功能,可以有效控制风险。
Bybit EMA RSI 趋势追踪与动量策略是一个结合了趋势追踪和动量指标的量化交易策略,通过EMA和RSI的配合使用,可以较好地捕捉市场趋势。该策略内置止盈止损功能和根据Bybit账户等级设置手续费的功能,可以有效控制风险并适应不同用户的交易条件。然而,该策略仍有优化空间,如参数优化、引入其他技术指标、优化止盈止损设置等。通过不断优化和改进,该策略有望在实际交易中取得更好的效果。
/*backtest
start: 2024-03-21 00:00:00
end: 2024-03-28 00:00:00
period: 1m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// @BryanAaron
//@version=5
strategy("Bybit EMA RSI Strategy", overlay=true)
// Input parameters
fastLength = input(90, title="Fast EMA Length")
slowLength = input(300, title="Slow EMA Length")
rsiLength = input(5, title="RSI Length")
rsiUpperThreshold = input(85, title="RSI Upper Threshold")
rsiLowerThreshold = input(45, title="RSI Lower Threshold")
takeProfitPerc = input(5, title="Take Profit %")
stopLossPerc = input(3, title="Stop Loss %")
bybitAccountLevel = input.string("VIP 0", title="Bybit Account Level", options=["VIP 0", "VIP 1", "VIP 2", "VIP 3", "VIP 4"])
// Calculate moving averages
fastMA = ta.ema(close, fastLength)
slowMA = ta.ema(close, slowLength)
// Calculate RSI
rsi = ta.rsi(close, rsiLength)
// Trading conditions
longCondition = (fastMA > slowMA) and (rsi < rsiLowerThreshold)
shortCondition = (fastMA < slowMA) and (rsi > rsiUpperThreshold)
// Set commission based on Bybit account level
commissionPerc = switch bybitAccountLevel
"VIP 0" => 0.075
"VIP 1" => 0.065
"VIP 2" => 0.055
"VIP 3" => 0.045
"VIP 4" => 0.035
=> 0.075
// Calculate entry prices with commission
var float longEntryPrice = na
var float shortEntryPrice = na
longEntryPriceWithCommission = close * (1 + commissionPerc / 100)
shortEntryPriceWithCommission = close * (1 - commissionPerc / 100)
// Calculate take profit and stop loss prices
takeProfitPrice(entryPrice) => entryPrice * (1 + takeProfitPerc / 100)
stopLossPrice(entryPrice) => entryPrice * (1 - stopLossPerc / 100)
// Plot entry prices
plotchar(longCondition, title="Long Entry Price", char="LE", location=location.belowbar, color=color.green)
plotchar(shortCondition, title="Short Entry Price", char="SE", location=location.abovebar, color=color.red)
// Draw position on the chart
longColor = color.green
shortColor = color.red
profitColor = color.new(color.green, 80)
lossColor = color.new(color.red, 80)
plotshape(longCondition and strategy.position_size > 0, title="Long Position", text="Long", location=location.belowbar, style=shape.labelup, size=size.small, color=longColor, textcolor=color.white)
plotshape(shortCondition and strategy.position_size < 0, title="Short Position", text="Short", location=location.abovebar, style=shape.labeldown, size=size.small, color=shortColor, textcolor=color.white)
if (strategy.position_size > 0)
line.new(bar_index, longEntryPrice, bar_index + 1, longEntryPrice, color=longColor, width=2)
longProfitLine = line.new(bar_index, takeProfitPrice(longEntryPrice), bar_index + 1, takeProfitPrice(longEntryPrice), color=profitColor, width=1)
longLossLine = line.new(bar_index, stopLossPrice(longEntryPrice), bar_index + 1, stopLossPrice(longEntryPrice), color=lossColor, width=1)
else if (strategy.position_size < 0)
line.new(bar_index, shortEntryPrice, bar_index + 1, shortEntryPrice, color=shortColor, width=2)
shortProfitLine = line.new(bar_index, stopLossPrice(shortEntryPrice), bar_index + 1, stopLossPrice(shortEntryPrice), color=profitColor, width=1)
shortLossLine = line.new(bar_index, takeProfitPrice(shortEntryPrice), bar_index + 1, takeProfitPrice(shortEntryPrice), color=lossColor, width=1)
// Entry
if (longCondition)
strategy.entry("Long", strategy.long)
longEntryPrice := longEntryPriceWithCommission
else if (shortCondition)
strategy.entry("Short", strategy.short)
shortEntryPrice := shortEntryPriceWithCommission