Files
chinese-equity-quant/pipeline/combo/cli.py
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Yuxuan Yan 1caa63faeb refactor: class-based alpha factory + month-partitioned data pipeline
Replace the old signal/strategy/backtest modules with a decoupled
data → alpha → combo pipeline (parquet between phases, .pq extension).

Alphas:
- BaseAlpha + @register_alpha factory/plugin registry; one file per
  built-in (reversal, reversal_vol, momentum); external alphas via
  --alpha-module. Alphas are z-scored position weights, not predictors.

Data:
- baostock primary / akshare fallback, treated consistently.
- New --universe all (~5000 A-shares via query_all_stock, filtered).
- login-once batch downloader; empty-string OHLCV coerced to NaN.
- Month-partitioned dataset {output_dir}/{universe}/month=YYYY-MM/*.pq
  with chunked durability flushes; --data-path is the dataset dir.

CLI logs at INFO by default (--log-level) so progress is visible.
Docs (README, CLAUDE.md) updated incl. pipeline diagram and roadmap
TODOs for portfolio construction / backtest / paper trading.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-09 14:07:07 +08:00

48 lines
1.4 KiB
Python

"""CLI for alpha combination."""
import os
import click
from pipeline.combo.combine import combine_alphas, COMBO_METHODS
@click.group(name="combo")
def combo():
"""Combine multiple alphas into a single combined weight."""
@combo.command("combine")
@click.option(
"--alpha-paths", required=True,
help="Comma-separated paths to alpha parquet files",
)
@click.option("--combo-name", required=True, help="Name for this combo")
@click.option(
"--method", default="equal_weight",
type=click.Choice(list(COMBO_METHODS.keys())),
help="Combination method",
)
@click.option("--output-dir", default="combos", help="Directory to save combo parquet")
def combine(alpha_paths, combo_name, method, output_dir):
"""Combine multiple alphas and save as parquet."""
paths = [p.strip() for p in alpha_paths.split(",") if p.strip()]
if len(paths) < 2:
click.echo("Error: --alpha-paths requires at least 2 comma-separated paths", err=True)
return
result = combine_alphas(
alpha_paths=paths,
combo_name=combo_name,
method=method,
)
os.makedirs(output_dir, exist_ok=True)
out_path = f"{output_dir}/{combo_name}.pq"
result.to_parquet(out_path, index=False)
click.echo(f"Saved combo: {out_path} ({len(result):,} rows)")
click.echo(
f"Weight stats — min: {result['weight'].min():.4f}, "
f"max: {result['weight'].max():.4f}, "
f"mean: {result['weight'].mean():.4f}"
)