GaurabAryal

GaurabAryal / reddit-stock-experiment

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Can Reddit beat the stock market? AI-powered experiment scoring reasoning quality in r/ValueInvesting and backtesting against S&P 500.

18
3
100% credibility
Found Mar 07, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository runs an experiment scraping stock recommendations from Reddit's r/ValueInvesting subreddit, blindly scoring comment reasoning quality with AI, constructing portfolios, and backtesting performance against the S&P 500 with an interactive dashboard.

How It Works

1
🔍 Discover the experiment

You find this intriguing GitHub project testing if smart reasoning in Reddit stock chats beats the market using AI.

2
🛠️ Prepare your computer

You set up a simple folder, download the files, and install basic free tools to run the experiment.

3
🔑 Connect AI helper

You paste a private password from an AI service so it can read and judge comments.

4
🕷️ Collect Reddit chats

You click run on the first tool to gather stock discussion posts from a forum.

5
🤖 Judge reasoning quality

The magic happens as AI reads hundreds of comments, scores their smarts without seeing stock names, and ranks the best arguments.

6
📊 Build and test portfolios

Tools group stocks by crowd favorites, underdogs, AI top picks, and check how they perform against the market.

🎉 See stunning results

You open a beautiful interactive webpage with charts, tables, and answers to if good reasoning wins big.

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Star Growth

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AI-Generated Review

What is reddit-stock-experiment?

This Python project scrapes stock tips from r/ValueInvesting on Reddit, uses Claude AI to blindly score comment reasoning on clarity, risks, data, specificity, and originality, then backtests portfolios—crowd favorites, underdogs, AI picks—against the S&P 500. Run the five-step pipeline with an Anthropic API key to get JSON data and interactive HTML dashboards showing performance over months. It includes September validation for out-of-sample testing, answering if Reddit beats the market or if AI reasoning predicts winners.

Why is it gaining traction?

Unlike generic reddit github copilot alternatives or sentiment scrapers, it delivers reproducible backtests with yfinance and pre-built dashboards, no setup hassle. The hook: real alpha comparison (AI picks vs. crowd vs. 500 benchmark) in a fun, shareable experiment—perfect for reddit github map debates or github app reddit prototypes. Low-barrier replication beats manual reddit beats studio pro analysis.

Who should use this?

Quant hobbyists backtesting social signals, AI devs prototyping Claude for NLP on reddit github copilot cli workflows, or finance analysts validating r/ValueInvesting theses. Ideal for reddit beatmatch-style experiments comparing community hype to reasoning quality.

Verdict

Grab it for the polished README, one-command pipeline, and MIT license—stars at 18 and 1.0% credibility reflect early stage, but docs and pre-built results make it instantly usable for replication. Solid learning tool, not production-ready. (198 words)

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