README

Backtesting.py
==============









Backtest trading strategies with Python.

Project website + [Documentation]   |  [YouTube]

[Documentation]: https://kernc.github.io/backtesting.py/doc/backtesting/
[YouTube]: https://www.youtube.com/results?q=%22backtesting.py%22

Installation
------------

    $ pip install backtesting

Or if you prefer the bleeding edge:

    $ pip install git+https://github.com/kernc/backtesting.py


Usage
-----
python
from backtesting import Backtest, Strategy
from backtesting.lib import crossover

from backtesting.test import SMA, GOOG


class SmaCross(Strategy):
    def init(self):
        price = self.data.Close
        self.ma1 = self.I(SMA, price, 10)
        self.ma2 = self.I(SMA, price, 20)

    def next(self):
        if crossover(self.ma1, self.ma2):
            self.buy()
        elif crossover(self.ma2, self.ma1):
            self.sell()


bt = Backtest(GOOG, SmaCross, commission=.002,
              exclusive_orders=True)
stats = bt.run()
bt.plot()


Results in:

text
Start                     2004-08-19 00:00:00
End                       2013-03-01 00:00:00
Duration                   3116 days 00:00:00
Exposure Time [%]                       94.27
Equity Final [$]                     68935.12
Equity Peak [$]                      68991.22
Return [%]                             589.35
Buy & Hold Return [%]                  703.46
Return (Ann.) [%]                       25.42
Volatility (Ann.) [%]                   38.43
CAGR [%]                                16.80
Sharpe Ratio                             0.66
Sortino Ratio                            1.30
Calmar Ratio                             0.77
Alpha [%]                              450.62
Beta                                     0.02
Max. Drawdown [%]                      -33.08
Avg. Drawdown [%]                       -5.58
Max. Drawdown Duration      688 days 00:00:00
Avg. Drawdown Duration       41 days 00:00:00
 Trades                                   93
Win Rate [%]                            53.76
Best Trade [%]                          57.12
Worst Trade [%]                        -16.63
Avg. Trade [%]                           1.96
Max. Trade Duration         121 days 00:00:00
Avg. Trade Duration          32 days 00:00:00
Profit Factor                            2.13
Expectancy [%]                           6.91
SQN                                      1.78
Kelly Criterion                        0.6134
_strategy              SmaCross(n1=10, n2=20)
_equity_curve                          Equ...
_trades                       Size  EntryB...
dtype: object



Find more usage examples in the [documentation].


Features
--------
 Simple, well-documented API
 Blazing fast execution
 Built-in optimizer
  based on SAMBO
 Library of composable base strategies
  and related utilities
 Indicator-library-agnostic (BYO)
 Supports _any_ financial instrument with OHLC(V) candlestick data
 Detailed trade results
  provided as simple Series/DataFrame