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Business, Finance & HR · Python · For data scientists
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Turns a plain-language model training request into a validated QuantMind training config file that can be imported from the Model Training page. | qusong0627/ | 1.7k | — | ~1.5k | Automated safety check: Pass | AGPL-3.0 | today |
| 2 | Fetch financial, market, economic, fundamental, news, options, crypto, ETF, index, and macro data through the OpenBB Python interface instead of the OpenBB MCP server. | monarchjuno/ | 299 | — | ~2.9k | Automated safety check: Notes | MIT | 5 mo ago |
| 3 | Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step. | github/ | 40k | 1 repo | ~1.5k | Automated safety check: Pass | MIT | 2 days ago |
| 4 | Trains scikit-learn models with walk-forward validation on features from OHLCV data to predict return direction and turn the predictions into trading signals. | HKUDS/ | 35k | — | ~3.2k | Automated safety check: Pass | MIT | today |
| 5 | Guides your agent through unit-root, cointegration, GARCH, bootstrap and regression-diagnostic tests on financial time series, using a tested helper module. | HKUDS/ | 35k | — | ~4k | Automated safety check: Pass | MIT | today |
| 6 | Measures portfolio and backtest risk with VaR, CVaR, maximum drawdown, Monte Carlo simulation, tail modeling and stress tests, using one tested risk module. | HKUDS/ | 35k | — | ~3.8k | Automated safety check: Pass | MIT | today |
| 7 | Targeted metabolomics analysis using MRM/SRM with standard curves. | FreedomIntelligence/ | 3.1k | 1 repo | ~2.5k | Automated safety check: Pass | No licence | 2 mo ago |
