polars_backtest
High-performance portfolio backtesting extension for Polars, implemented in Rust.
Installation
uv add polars_backtest
# or
pip install polars_backtest
Quick Start
import polars as pl
import polars_backtest as pl_bt
# Long format: one row per (date, symbol)
df = pl.DataFrame({
"date": ["2024-01-01", "2024-01-01", "2024-01-02", "2024-01-02"],
"symbol": ["2330", "2317", "2330", "2317"],
"close": [100.0, 50.0, 102.0, 51.0],
"weight": [0.6, 0.4, 0.6, 0.4],
})
# Function API
result = pl_bt.backtest(df, trade_at_price="close", position="weight")
# Or DataFrame namespace
result = df.bt.backtest(trade_at_price="close", position="weight")
With Report
report = pl_bt.backtest_with_report(df, trade_at_price="adj_close", resample="M")
report
BacktestReport(
creturn_len=4219,
trades_count=6381,
total_return=8761.03%,
cagr=29.85%,
max_drawdown=-35.21%,
sharpe=1.13,
win_ratio=46.33%
)
Visualization
Interactive, self-contained HTML report — no extra dependencies, works offline:
pl_bt.viz.show(report) # browser tab, or inline in notebooks
pl_bt.viz.save_html(report, "report.html") # standalone shareable file
pl_bt.viz.report_data(report) # JSON-safe payload for custom dashboards
Includes equity curve (benchmark overlay, log scale, range presets), drawdown, monthly return heatmap, trade return distribution, MAE scatter, and full stats. Light/dark mode follows the system.
report.get_stats() # or report.stats
shape: (1, 15)
┌────────────┬────────────┬──────┬──────────────┬──────────┬──────────────┬──────────────┐
│ start ┆ end ┆ rf ┆ total_return ┆ cagr ┆ max_drawdown ┆ avg_drawdown │
│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │
│ date ┆ date ┆ f64 ┆ f64 ┆ f64 ┆ f64 ┆ f64 │
╞════════════╪════════════╪══════╪══════════════╪══════════╪══════════════╪══════════════╡
│ 2008-10-31 ┆ 2025-12-31 ┆ 0.02 ┆ 87.610293 ┆ 0.298538 ┆ -0.352092 ┆ -0.042957 │
└────────────┴────────────┴──────┴──────────────┴──────────┴──────────────┴──────────────┘
┌────────────┬───────────┬──────────────┬───────────────┬──────────┬───────────┬─────────┬───────────┐
│ daily_mean ┆ daily_vol ┆ daily_sharpe ┆ daily_sortino ┆ best_day ┆ worst_day ┆ calmar ┆ win_ratio │
│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │
│ f64 ┆ f64 ┆ f64 ┆ f64 ┆ f64 ┆ f64 ┆ f64 ┆ f64 │
╞════════════╪═══════════╪══════════════╪═══════════════╪══════════╪═══════════╪═════════╪═══════════╡
│ 0.300815 ┆ 0.249645 ┆ 1.131947 ┆ 1.834553 ┆ 0.195416 ┆ -0.160707 ┆ 0.84784 ┆ 0.463303 │
└────────────┴───────────┴──────────────┴───────────────┴──────────┴───────────┴─────────┴───────────┘
report.creturn # Cumulative returns DataFrame
report.trades # Trade records with MAE/MFE metrics
report.stats # Statistics (same as get_stats())
Benchmark Comparison
# Use a symbol from your data as benchmark
report = df.bt.backtest_with_report(position="weight", benchmark="0050")
# Or provide a benchmark DataFrame with (date, creturn) columns
report = df.bt.backtest_with_report(position="weight", benchmark=benchmark_df)
# get_metrics includes alpha, beta, m12WinRate when benchmark is set
metrics = report.get_metrics()
Statistics Expressions
from polars_backtest import daily_returns, cumulative_returns, sharpe_ratio, max_drawdown
df.with_columns(
ret=daily_returns("close"),
creturn=cumulative_returns("ret"),
)
df.select(
sharpe=sharpe_ratio("ret"),
mdd=max_drawdown("creturn"),
)
Features
- Zero-copy Arrow FFI - Direct memory sharing between Polars and Rust
- T+1 execution - Realistic trading simulation
- Stop loss / Take profit / Trailing stop - Risk management
- Resample support - D, W, W-FRI, M, Q, Y
Resample Options
| Value | Description |
|---|---|
None |
Only rebalance when position changes |
'D' |
Daily |
'W' |
Weekly (Sunday) |
'W-FRI' |
Weekly (Friday) |
'M' |
Monthly |
'Q' |
Quarterly |
'Y' |
Yearly |
Development
# Setup
uv sync
# Build
uv run maturin develop --release
# Test
uv run pytest tests/ -v # Fast tests (default)
uv run pytest tests/ -v -m slow # Slow tests (finlab)
uv run pytest tests/test_wide_vs_finlab.py -v # Wide vs Finlab
uv run pytest tests/test_long_vs_wide.py -v # Long vs Wide
License
PolyForm Noncommercial 1.0.0
For commercial use, please contact the author to obtain a commercial license.
1 maintainer
Metadata
1 maintainer
Release files for polars-backtest 0.1.7
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