AlphaMemo

Official implementation of:

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents

AlphaMemo is a self-evolving formulaic alpha mining framework with:

• search-ledger guided evolution
• structured search-process memory (SSPM)
• confidence-gated residual fusion
• asymmetric process veto (APV)

Setup

conda env create -f environment.yml
conda activate alphamemo
pip install -e .

Run

bash scripts/run_main.sh

Data

Experiments are based on Qlib-format CSI500 and S&P500 data.

Citation

@article{alphamemo2026,
  title={AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents},
  author={...},
  year={2026}
}