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TickerRisk

Scan any stock for hidden risk before you sell options

Fintech
Analytics
Investing
Visit WebsiteSee on Product HuntTwitter

Hunted byTICKERRISKTICKERRISK

Most screeners just show you IV and price. TickerRisk tells you why a premium is fat — it scans real catalysts (earnings, FDA decisions, legal filings, SEC events, clinical trials) and condenses them into a 0–100 risk score for any S&P 500 stock. Sell options knowing what's in your window. Free, no signup to start.

Top comment

I built TickerRisk for myself first. I kept getting burned selling options — an earnings date or a clinical-trial readout would land inside my expiration window and blow up the trade, and I'd only find out after the fact. The premium looked juicy; I just couldn't see the landmine. So I made a tool that does the homework for me: it scans every S&P 500 stock for the non-obvious catalysts that move price — earnings, FDA decisions, clinical trials, legal filings, SEC events — and rolls them into a single 0–100 risk score for your time window. Now I check the risk before I sell premium, not after. I also built in a full options chain, strategy scanners (the wheel, covered calls, cash-secured puts), IV rank, expected move and more — so it covers what I used to pay for across a few expensive subs like Option Samurai, in one place. It's free to try, no signup. I'd genuinely love feedback from other options traders — what catalysts do you wish you could see before a trade? What's missing?

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About TickerRisk on Product Hunt

Scan any stock for hidden risk before you sell options

TickerRisk was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #39 on the daily leaderboard. Most screeners just show you IV and price. TickerRisk tells you why a premium is fat — it scans real catalysts (earnings, FDA decisions, legal filings, SEC events, clinical trials) and condenses them into a 0–100 risk score for any S&P 500 stock. Sell options knowing what's in your window. Free, no signup to start.

TickerRisk was featured in Fintech (47.2k followers), Analytics (172.7k followers) and Investing (26.7k followers) on Product Hunt. Together, these topics include over 40.5k products, making this a competitive space to launch in.

Who hunted TickerRisk?

TickerRisk was hunted by TICKERRISK. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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