Post
1955
Released mlquantx 0.2.6: a reproducible PyTorch workflow for cross-sectional multi-factor research.
pip install --upgrade mlquantx
mlquant demo
The demo runs synthetic data → 213 factors → MLP → portfolio construction → cost-aware backtest. CI covers Python 3.9–3.11 with 96 tests.
Dataset: dddyym/ml-quant-trading-synthetic
Checkpoint: dddyym/ml-quant-trading-synthetic-mlp
GitHub: https://github.com/initial-d/ml-quant-trading
PyPI: https://pypi.org/project/mlquantx/
Research and teaching use only — not a live-trading system or a profitability claim.
pip install --upgrade mlquantx
mlquant demo
The demo runs synthetic data → 213 factors → MLP → portfolio construction → cost-aware backtest. CI covers Python 3.9–3.11 with 96 tests.
Dataset: dddyym/ml-quant-trading-synthetic
Checkpoint: dddyym/ml-quant-trading-synthetic-mlp
GitHub: https://github.com/initial-d/ml-quant-trading
PyPI: https://pypi.org/project/mlquantx/
Research and teaching use only — not a live-trading system or a profitability claim.