Fi

Find the 10 highest and 10 lowest correlations to any stock

Hacker News

Find the 10 highest and 10 lowest correlations to any stock

During the start of the year I was thinking how could I bet against certain stocks (in my case mainly Tesla) without using derivatives and the risks that come with them. After I had success betting on the oil price with a highly correlated investment fond, I came to the conclusion that negative correlations could be used to bet against the price of other assets. Unfortunately, it is not easy to find correlations between assets if you don't know which assets to compare in the first place. So I created a website where you can find the 10 highest and 10 lowest correlations of certain assets.

Visit product View on Hacker NewsMay 3, 2022

Actual performance

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

80%80% 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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos

12%12% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

10%10% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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