OptionEV

OptionEV

See the true EV and edge behind every options trade

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OptionEV introduces a new way to analyze options trades using true expected value and probability modeling—not guesses or generic broker metrics. The platform combines a normal-distribution engine with LSMC simulations to show real edge, outcome probabilities, and optimal hold/exit timing. It turns complex quant logic into simple, visual insights that help traders trade smarter and avoid low-EV setups.
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OptionEV gallery image
OptionEV gallery image
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Launch tags:Fintech•Artificial Intelligence•Finance
Launch Team
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
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What do you think? …

Garrett Gauruder
Maker
📌
Hey everyone! 👋 I built OptionEV because I got tired of making options trades based on gut feel or generic broker metrics that don’t actually tell you whether a trade has statistical edge. Traders deserve clarity, not guesswork. I wanted a tool that could show the true expected value of a trade—probability of profit, outcome distributions, and when it actually makes sense to hold or exit. Nothing out there made this simple enough, so I built it. Along the way, the project grew from a basic EV calculator into a full probability engine with LSMC simulations, cleaner visuals, and a workflow designed for everyday traders (not just quants). The goal was always the same: make complex math feel easy and give traders confidence in their decisions. Excited to finally share this with you all. Happy to answer questions, get feedback, and hear what features you’d like next!