Optioncharts.io – A charting platform for option investors

Hacker News

Hi! I created OptionCharts.io, a charting and visualization platform for option investors. With OptionCharts.io, you can easily view and analyze a range of important data, including volume, open interest, probability distribution, volatility skew, max pain, Greeks, option history, option profit/loss, and more. I created OptionCharts.io because I was looking for a comprehensive and modern charts for viewing option data and couldn't find one that had all these charts in one place that wasn't paywalled. I hope that OptionCharts.io will help other option investors make informed decisions by providing easy access to all of this important information in one place. If you have any feedback please let me know what you think!

Visit product View on Hacker NewsDec 28, 2022

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1points

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, including · Missing: supports, reddit linkedin, podcasting

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: visual, open · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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