optionlab
Unverified Other strategy on Options by rgaveiga. BotFinder score 18 out of 100.
A Python library for evaluating option trading strategies.
Source: github
BotFinder analysis pending.
optionlab
OptionLab This package is a lightweight library designed to provide quick evaluation of options trading strategies. It produces various outputs: - the profit/loss profile of the strategy on a user-defined target date - the range of stock prices for which the strategy is profitable (i.e., generating a return of at least \$0.01) - the Greeks (delta, theta, rho, vega and gamma) associated with each leg of the strategy - the resulting debit or credit on the trading account - the maximum and minimum returns within a specified lower and higher price range of the underlying asset - The expected profit when the strategy is profitable and the expected loss if it proves unprofitable - the strategy's probability of profit. Contact If you have any questions, corrections, comments or suggestions, just drop a message. You can also reach me on Linkedin or follow me on X. [!NOTE] If you want to support this and other open source projects that I maintain, become a sponsor on Github. Installation The easiest way to install OptionLab is using pip: Documentation You can access the API documentation for
⚠ 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)