bt — Flexible Backtesting for Python
Build, test, and compare investment strategies from reusable Python components. bt combines strategy logic with historical price data, tracks portfolio positions and transactions, and provides performance statistics and charts through ffn.
- Compose strategy logic: combine algorithms for scheduling, security selection, weighting, and rebalancing.
- Build portfolios of strategies: nest strategies and securities in a common tree.
- Model trading costs: configure commissions and transaction cost models.
- Compare results: inspect returns, weights, transactions, drawdowns, and other statistics.
Install
pip install bt
See the installation guide for additional details.
A first backtest
This example uses synthetic prices, so it runs without downloading market data:
import numpy as np
import pandas as pd
import bt
prices = pd.DataFrame(
{
"asset_a": np.linspace(100, 120, 252),
"asset_b": np.linspace(100, 110, 252),
},
index=pd.bdate_range("2020-01-01", periods=252),
)
strategy = bt.Strategy(
"equal_weight",
[
bt.algos.RunMonthly(),
bt.algos.SelectAll(),
bt.algos.WeighEqually(),
bt.algos.Rebalance(),
],
)
result = bt.run(bt.Backtest(strategy, prices))
result.display()
The strategy selects both assets, gives each equal weight, and rebalances monthly. Replace the synthetic prices with your own data to explore a strategy. Backtest results depend on data quality and modeling assumptions; they do not predict future performance.
Explore the documentation
- First strategy tutorial: walk through a backtest and inspect its results.
- Algorithms: compose and customize strategy logic.
- Portfolio trees: combine securities and nested strategies.
- Examples: explore momentum, risk allocation, and fixed-income strategies.
- API overview: find strategy, algorithm, and backtest interfaces.
The published documentation is at https://pmorissette.github.io/bt/.
Contribute
See the development guide for environment setup, tests, documentation builds, and Copier template updates. Report bugs and propose improvements through GitHub issues.
bt is released under the MIT license.
2 maintainers
Metadata
2 maintainers
Release files for bt 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bt-1.3.0.tar.gz | 55.7 kB | Details |
Built distributions (wheels)
Total release size: 16.2 MB
Release files / bt-1.3.0.tar.gz
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Release files / bt-1.3.0-cp314-cp314-macosx_11_0_arm64.whl
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