Metadata-Version: 2.1
Name: algobacktest
Version: 0.0.5
Summary: Testing installation of Package
Home-page: https://github.com/algobacktest/
Author: Baris Arat
Author-email: hello@baristradingtech.com
License: MIT
Keywords: pypi,algobacktest
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Documentation
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE

## Algo Backtest Package
### Applying significance test to backtesting

  * Get historical data from Yahoo Finance
  * Use default technical analysis strategies for practice
  * Apply significance test to backtest results with Monte Carlo simulations

### Quick usage

```
import algobacktest.Backtest as algobt

bt = algobt.Test()
bt.prices = algobt.getprice('AAPL')
bt.positions = algobt.getsma(bt.prices)
bt.run()
bt.plot_significance()
print(f'Backtested strategy return: {round(bt.strategy_return,2)}')
```
