1. 策略原理

当收盘价上穿下轨，做多
当收盘价下穿上轨，做空

代码：

seting = {'name': 'BBv3', 'symbol': 'BTCUSDT', 'kTime': '15m', 'bb_len': 7, 'buy_len': 44, 'buy_mult': 2.664, 'sell_len': 20, 'sell_mult': 2.54, 'buy': 1, 'buyZhiying': 12.704, 'buyZhisun': 7.525, 'sell': 1, 'sellZhiying': 6.112, 'sellZhisun': 1.52}

"""
布林带升级版定向策略
"""
def BBv3(r, df, seting):
    df['ma'] = SMA(r, seting['bb_len'], 'Close')

    df['upper'] = df['ma'] + seting['sell_mult'] * talib.STDDEV(df['Close'], timeperiod=seting['sell_len'])
    df['lower'] = df['ma'] - seting['buy_mult'] * talib.STDDEV(df['Close'], timeperiod=seting['buy_len'])

    c = len(df)
    for i in range(c):
        if i > seting['sell_len'] and i+1 < c:
            if df['Close'][i] > df['lower'][i] and df['Close'][i-1] < df['lower'][i-1]: # and df['Close'][i] > df['ma2'][i]
                df['side'].values[i] = 'BUY'

            if df['Close'][i] < df['upper'][i] and df['Close'][i-1] > df['upper'][i-1]: # and df['Close'][i] < df['ma2'][i]
                df['side'].values[i] = 'SELL'

    return df

2.回测结果

BTCUSDT 15m：

1.策略原理

一个很简单的策略
突破上轨，且Rsi没有超卖时做多，价格回归中轨时平仓

代码：

seting = {'name': 'BB', 'symbol': 'ETHUSDT', 'kTime': '15m', 'bb_len': 129, 'bb_mult': 2.259, 'rsi_len': 22, 'rsi_long_min': 15, 'rsi_long_max': 76, 'rsi_short_min': 12, 'rsi_short_max': 74, 'buy': 1, 'buyZhiying': 13.037, 'buyZhisun': 8.014, 'sell': 1, 'sellZhiying': 5.084, 'sellZhisun': 13.086}

"""
布林带策略
"""
def BB(r, df, seting):
    df['ma'] = SMA(r, seting['bb_len'], 'Close')
    df['mult'] = seting['bb_mult'] * talib.STDDEV(df['Close'].values, timeperiod=seting['bb_len'])
    df['upper'] = df['ma'] + df['mult']
    df['lower'] = df['ma'] - df['mult']
    df['rsi'] = talib.RSI(df['Close'].values, timeperiod=14)

    c = len(df)
    for i in range(c):
        if i > seting['bb_len'] and i+1 < c:
            if df['Close'][i] > df['upper'][i] and df['Close'][i-1] < df['upper'][i-1] and\
                df['rsi'][i] >= seting['rsi_long_min'] and df['rsi'][i] <= seting['rsi_long_max']:
                df['side'].values[i] = 'BUY'

            if df['Close'][i] < df['ma'][i] and df['Close'][i-1] > df['ma'][i-1]:
                df['close'].values[i] = 'BUY'

            if df['Close'][i] < df['lower'][i] and df['Close'][i-1] > df['lower'][i-1] and\
                 df['rsi'][i] >= seting['rsi_short_min'] and df['rsi'][i] <= seting['rsi_short_max']:
                df['side'].values[i] = 'SELL'

            if df['Close'][i] > df['ma'][i] and df['Close'][i-1] < df['ma'][i-1]:
                df['close'].values[i] = 'SELL'

    return df

2.回测结果