该策略是一个基于波林格带(Bollinger Bands)的动量突破交易系统,主要通过价格与波林格带上轨的关系来捕捉趋势性机会。策略采用了自适应的均线类型选择机制,结合标准差通道来识别市场波动特征,特别适合在波动性较大的市场环境中应用。
策略的核心逻辑基于以下几个关键要素: 1. 使用可自定义的移动平均线(包括SMA、EMA、SMMA、WMA、VWMA)计算波林格带的中轨。 2. 通过标准差的倍数(默认2.0)动态确定上下轨的位置。 3. 在价格突破上轨时入场做多,表明强势突破趋势的形成。 4. 当价格跌破下轨时平仓出场,说明上升趋势可能已经结束。 5. 系统内置了交易成本(0.1%)和滑点(3个点)的考虑,更符合实际交易环境。
这是一个设计合理、逻辑清晰的趋势跟踪策略。它通过波林格带的动态特性捕捉市场动量,并具备良好的风险控制机制。策略的可定制性强,通过参数调整可以适应不同的市场环境。建议在实盘应用时进行充分的参数优化和回测验证,并结合建议的优化方向进行策略改进。
/*backtest
start: 2019-12-23 08:00:00
end: 2024-12-11 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
strategy("Demo GPT - Bollinger Bands", overlay=true, initial_capital=10000, commission_type=strategy.commission.percent, commission_value=0.1, slippage=3, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// Inputs
length = input.int(20, minval=1, title="Length")
maType = input.string("SMA", "Basis MA Type", options = ["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"])
src = input(close, title="Source")
mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev")
offset = input.int(0, "Offset", minval=-500, maxval=500)
// Date range inputs
startYear = input.int(2018, "Start Year", minval=1970, maxval=2100)
startMonth = input.int(1, "Start Month", minval=1, maxval=12)
startDay = input.int(1, "Start Day", minval=1, maxval=31)
endYear = input.int(2069, "End Year", minval=1970, maxval=2100)
endMonth = input.int(12, "End Month", minval=1, maxval=12)
endDay = input.int(31, "End Day", minval=1, maxval=31)
// Time range
startTime = timestamp("GMT+0", startYear, startMonth, startDay, 0, 0)
endTime = timestamp("GMT+0", endYear, endMonth, endDay, 23, 59)
// Moving average function
ma(source, length, _type) =>
switch _type
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Calculate Bollinger Bands
basis = ma(src, length, maType)
dev = mult * ta.stdev(src, length)
upper = basis + dev
lower = basis - dev
// Plot
plot(basis, "Basis", color=#2962FF, offset=offset)
p1 = plot(upper, "Upper", color=#F23645, offset=offset)
p2 = plot(lower, "Lower", color=#089981, offset=offset)
fill(p1, p2, title="Background", color=color.rgb(33, 150, 243, 95))
// Strategy logic: Only go long and flat
inDateRange = time >= startTime and time <= endTime
noPosition = strategy.position_size == 0
longPosition = strategy.position_size > 0
// Buy if close is above upper band
if inDateRange and noPosition and close > upper
strategy.entry("Long", strategy.long)
// Sell/Exit if close is below lower band
if inDateRange and longPosition and close < lower
strategy.close("Long")