Complexity Score
Medium
Open Issues
N/A
Dependent Projects
4
Weekly Downloadsglobal
11,311
Keywords
- algoalgorithmicashibacktestbacktestingbitcoinbokehbondscandlecandlestickcboechartcmecommoditiescrashcryptocurrencydojidrawdownequityetfethereumexchangefinancefinancialforecastforexfundfuturesfxfxprogoldheikenhistoricalindicatorinvestinvestinginvestmentmacdmarketmechanicalmoneyoandaohlcohlcvorderpriceprofitquantquantitativersisilversimulationstocksstrategytickertradertradingtradingviewusdalgo-tradingalgorithmic-tradingbacktesting-enginebacktesting-frameworksbacktesting-trading-strategiesfinancial-marketsforex-tradingframeworkhacktoberfestinvestment-strategiestrading-algorithmstrading-simulatortrading-strategies
License
- AGPL-3.0
- Yesattribution
- Copyleftlinking
- Copyleftdistribution
- Copyleftmodification
- Yesprivate use
Downloads
Readme
Backtesting.py
Backtest trading strategies with Python.
Project website + Documentation | YouTube
Installation
$ pip install backtesting
Usage
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:
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
- Library of composable base strategies and utilities
- Indicator-library-agnostic
- Supports any financial instrument with candlestick data
- Detailed results
- Interactive visualizations
Bugs
Before reporting bugs or posting to the
discussion board,
please read contributing guidelines, particularly the section
about crafting useful bug reports and ```
-fencing your code. We thank you!
Alternatives
See alternatives.md for a list of alternative Python backtesting frameworks and related packages.
Dependencies
No runtime dependency information found for this package.
CVE IssuesActive
0
Scorecards Score
4.50
Test Coverage
No Data
Follows Semver
No
Github Stars
6,080
Dependenciestotal
0
DependenciesOutdated
0
DependenciesDeprecated
0
Threat Modelling
No Data
Repo Audits
No Data
Learn how to distribute Backtesting in your own private PyPI registry
$pip install Backtesting
/Processing...
✓Done
24 Releases
PyPI on Cloudsmith