stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.
$ pip install stock-pairs-trading
from stock_pairs_trading import StockPairsTrading
spt = StockPairsTrading(
start="2007-12-01",
end="2017-12-01",
)
r = spt.find_pairs(["AAPL", "ADBE", "MSFT", "IBM"])
print(r)[('ADBE', 'MSFT')]
from pprint import pprint
from stock_pairs_trading import StockPairsTrading
spt = StockPairsTrading(
start="2007-12-01",
end="2017-12-01",
)
r = spt.backtest(('ADBE', 'MSFT'))
pprint(r){'cointegration': 0.0018311528816901195,
'correlation': 0.9858057442729853,
'maximum_drawdown': 34.801876068115234,
'profit_factor': 1.1214715644744209,
'riskreward_ratio': 0.8095390763424627,
'sharpe_ratio': 0.03606830691295276,
'total_profit': 35.97085762023926,
'total_trades': 520,
'win_rate': 0.5807692307692308}
from pprint import pprint
from stock_pairs_trading import StockPairsTrading
spt = StockPairsTrading(
start="2007-12-01",
end="2017-12-01",
)
r = spt.latest_signal(("ADBE", "MSFT"))
pprint(r){'ADBE Adj Close': 299.5,
'ADBE Buy': True, # entry buy
'ADBE Cover': False, # exit buy
'ADBE Sell': False, # entry sell
'ADBE Short': False, # exit sell
'MSFT Adj Close': 244.74000549316406,
'MSFT Buy': False, # entry buy
'MSFT Cover': False, # exit buy
'MSFT Sell': True, # entry sell
'MSFT Short': False, # exit sell
'date': '2022-09-16',
'zscore': -36.830427514962274}from pprint import pprint
from stock_pairs_trading import StockPairsTrading
spt = StockPairsTrading(
start="2007-12-01",
end="2017-12-01",
outputs_dir_path = "outputs",
data_dir_path = "data",
column = "Adj Close",
window = 1,
transition_covariance = 0.01,
)
r = spt.backtest(('ADBE', 'MSFT'))
pprint(r)
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