OpTrade
Unverified ML strategy on Options by xmootoo. BotFinder score 18 out of 100.
A complete toolkit for quantitative research and development of options trading strategies.
Source: github
BotFinder analysis pending.
OpTrade
OpTrade 📚 Documentation | 💻 GitHub | 📦 PyPI OpTrade is a complete toolkit for quantitative research and development of options trading strategies. By abstracting away the complexity of data handling and experimental setup, researchers and traders can focus on what matters most: developing and testing alpha-generating ideas. Installation The recommended way to install OptTrade is via pip: Note: At this time OpTrade requires an active subscription to ThetaData API for the stocks (VALUE) and options (VALUE) packages. Example (Single Contract) Overview 🔄 Data Pipeline OpTrade integrates with ThetaData's API for affordable options and security data access (down to 1-min resolution). The framework processes NBBO quotes and OHLCVC metrics through a contract selection system optimizing for moneyness, expiration windows, and volatility-scaled strikes. 🌐 Market Environments Built-in market environments enable precise universe selection through multifaceted filtering. OpTrade supports composition by major indices, fundamental-based screening (e.g.
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)