A tool to test investment strategies that are popular on Reddit

Hacker News

For the last four weeks I have been building a tool where with a simple drag and drop UI, you can test all of the strategies you keep seeing on social media to verify if they really work. It takes only 30 sec to test a trading strategy, instead of hours if you were to test it manually or programmatically. Here are some interesting findings: If you were to invest in whatever Nancy Pelosi is investing, using the tools available to an average investor you would lose money. She has 45 days to make her trades public. If you were to invest every month in a stock that has positive sentiment on Reddit, you would on average either make a few percentage points of return more, or lose less. I guess: people post that they like the new iPhone -> people buy the new iPhone -> stock price goes up. I am not sure what the relation is. You can play with many more trading strategies on my website: www.inegy.io I will be extremely thankful for any feedback.

Visit product View on Hacker NewsOct 1, 2022

Share card

Actual performance

4points

4comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

81%81% 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 · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, trading · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% 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

17%17% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

A tool to backtest investment strategies based on alternative data44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A tool to backtest investment strategies based on alternative data

Hacker News4

Reddit Archiving Tool69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reddit Archiving Tool

Hacker News16

I made a tool to make you popular37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a tool to make you popular

Hacker News1

Oblique Strategies for Programmers50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Oblique Strategies for Programmers

Hacker News14

Oblique Strategies for Atom43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Oblique Strategies for Atom

Hacker News1

Tool to Test Django Migrations27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tool to Test Django Migrations

Hacker News3

TraderDev by @DaviddTech36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Back test trading strategies using CODE.

Indie Hackers

My attempt at a decentralised Reddit60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My attempt at a decentralised Reddit

Hacker News2

Reddit Imgur Uploader69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reddit Imgur Uploader

Hacker News2

Rockets – Reddit and websockets61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rockets – Reddit and websockets

Hacker News98

Browse all products Analyze your launch