nanobook Python bindings
Rust extension plus pure-Python research helpers. Build with uv sync --group dev from this directory.
Monte Carlo scenarios (Rust-backed, parity-safe)
nanobook.scenarios provides terminal price distributions for stress testing and
forecasting. When the extension is built with the scenarios feature (default in
wheels), int/None seeds delegate to Rust: NumPy PCG64 draws feed Rust math so
results match the nanotrade/calc reference at tight tolerance. A pure-Python
fallback remains for random.Random seeds and environments without numpy.
import nanobook
res = nanobook.monte_carlo_stock_valuation(
"XYZ",
74.0,
version="advanced",
n_paths=200,
seed=42,
gp_growth_mean=0.16,
multiple_mean=22.0,
macro_shock_mean=-0.03,
)
print(res) # MonteCarloResult(..., median_price=86.36)
print(res.median_price, res.implied_median_annual_return)
paths = res.to_price_paths(4, method="linear")
# See examples/scenario_backtest.py for feeding paths into backtest_weights.
Regenerate frozen parity fixtures:
cd ../../nanotrade && uv run python ../nanobook/python/scripts/generate_scenarios_parity.py
Run scenario tests:
uv run pytest tests/test_scenarios*.py tests/property/test_prop_scenarios.py tests/reference/test_ref_scenarios.py -q
1 maintainer
Metadata
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Release files for nanobook 0.19.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| nanobook-0.19.0.tar.gz | 6.5 MB | Details |
Built distributions (wheels)
Total release size: 30.4 MB
Release files / nanobook-0.19.0.tar.gz
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