JokerJohn

JokerJohn / openclaw-autotrader

Public

A 30-day public U.S. stock challenge: follow a 5000 HKD 🦞 claw through live market days.

ai-agent algorithmic-trading autotrader live-trading openclaw
23
0
69% credibility
Found Mar 11, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
AI Summary

This GitHub repository publicly tracks a 30-day live trading challenge by an automated claw trader starting with 5000 HKD in US stocks, sharing dashboards, decisions, holdings, and learning logs.

How It Works

1
🔍 Discover the Challenge

You stumble upon this fun GitHub page where a little claw machine takes on the stock market for 30 days with just 5000 HKD.

2
📊 Check the Dashboard

You glance at the colorful board showing current money, profits or losses, and what stocks it's holding right now.

3
💡 Explore Learning Lessons

You read the exciting logs where the claw shares what it learned from each trade, mistake, or quiet day.

4
📅 Follow Daily Updates

You come back each day to see the latest decisions, like hold or buy, and the next steps.

5
🔄 Track the Full Journey

You review the 30-day overview and daily reports to watch the claw's progress over time.

🎉 Witness the Outcome

After 30 days, you see if the claw grew the money and learned smart trading ways everyone can use.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 17 to 23 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is openclaw-autotrader?

This repo runs a live 30-day autotrader challenge, starting with 5000 HKD to trade US stocks publicly over 30 market days. It shares real-time equity, PnL, holdings like BABA, and decisions via a dashboard, daily reports, and a public monitor—no backtests, just transparent live execution. Developers get a front-row seat to an autotrader's decisions, recaps, and evolving lessons in a bounded setup with whitelist stocks, no leverage or shorts.

Why is it gaining traction?

Unlike simulated 30-day Python challenges or JS GitHub experiments, this delivers actual market accountability with public memory logs turning trades into reusable insights. The hook is daily updates on holds, no-trades, and turning points, making it a rare real-money follow for algo trading transparency. It stands out by publishing operating rules and rationale upfront, like a 30-day public notice for trading strategies.

Who should use this?

Quant developers building autotraders who want live examples beyond backtests. Hobby traders scripting Python or JS bots seeking real PnL lessons from a 5000 HKD claw. Teams exploring 30-day challenges for stock monitoring and decision logging.

Verdict

Follow if you're into transparent algo trading experiments—strong docs and public logs make it educational despite 16 stars and day 3 progress. Low 0.699999988079071% credibility score reflects early maturity, but the live commitment beats most toy repos; skip if you need production-ready code.

(178 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.