Agent skill for Pandadata-based A-share after-close daily market review reports.
-
Updated
Jul 16, 2026 - Python
#
pandadata
Here are 10 public repositories matching this topic...
Run reproducible index addition, deletion, and weight-change event studies around announcement or effective-date anchors.
-
Updated
Jul 21, 2026 - Python
Audit normalized intraday OHLCV data for timestamp, gap, price, volume, and trading-date defects before research or backtesting.
-
Updated
Jul 21, 2026 - Python
A-share ????+????+????????,25?????+4????+LLM????
-
Updated
Jul 7, 2026 - Python
A??????????:????+Black-Scholes Greeks+HV/IV+IC????+????
mcp quant volatility backtest black-scholes options-pricing convertible-bond double-low claude-code pandadata
-
Updated
Jul 7, 2026 - Python
Audit split and cash-dividend consistency across raw and adjusted equity prices before research or backtesting.
-
Updated
Jul 21, 2026 - Python
Audit continuous futures contract selection, roll events, same-day price gaps, and adjustment ledgers before research or backtesting.
-
Updated
Jul 21, 2026 - Python
Audit point-in-time universe membership, security lifecycles, stable identities, and missing delisting returns before backtesting.
-
Updated
Jul 21, 2026 - Python
-
Updated
Jul 7, 2026 - Python
Stress portfolio liquidation capacity, pro-rata redemption shortfalls, and spread plus square-root impact costs.
-
Updated
Jul 21, 2026 - Python
Improve this page
Add a description, image, and links to the pandadata topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the pandadata topic, visit your repo's landing page and select "manage topics."