PyFundLib ⚡
The most powerful, modern, and production-ready Python framework for algorithmic trading & ML alpha
From backtesting RSI mean-reversion to running 24/7 autonomous LSTM-powered live trading — all with a clean, type-annotated, zero-boilerplate API.
Built by a quant. For quants who refuse to compromise.
Clean API • Institutional MLOps • Zero Boilerplate • Real Edge
Why PyFundLib Dominates
| Feature | PyFundLib | Backtrader • VectorBT • Others |
|---|---|---|
| Published on PyPI | Yes pip install pyfundlib |
No |
Modern src/ layout + full typing |
Yes | Rarely |
| Built-in ML (LSTM • XGBoost • RF) | Yes Full pipelines + MLflow + versioning | No |
| Multi-broker live execution | Alpaca • Zerodha • IBKR • Binance | Partial |
| Zstd Parquet caching + metadata | Yes Automatic | No |
| One-liner equity curves & reports | Yes Gorgeous out-of-the-box | Manual |
| CLI + scheduler + auto-retrain | Yes pyfundlib live |
No |
| Dry-run by default | Yes No accidental nuclear launches | Risky |
Installation
pip install pyfundlib
1 maintainer
Metadata
1 maintainer
Release files for pyfundlib 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyfundlib-0.1.6.tar.gz | 129.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyfundlib-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 132.4 kB
Release files / pyfundlib-0.1.6.tar.gz
| Download URL | pyfundlib-0.1.6.tar.gz |
|---|---|
| Size | 129.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
Release files / pyfundlib-0.1.6-py3-none-any.whl
| Download URL | pyfundlib-0.1.6-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
