MIT Researchers Built An AI Hedge Fund & released it 100% FREE
this gives you full trading firm of AI agents, analysts, a bull vs bear debate, a trader and a risk manager that approves every trade
i cloned it and plugged in Opus 5.5 as the brain and Jev as the fast decision layer (INSANE RESULTS)
here is how to USE this repo:
1. clone the repo and install it, one command with pip or uv, it runs on your laptop in a few minutes
2. drop in your Anthropic key and set Opus 5.5 as the deep think model, so the whole agent firm reasons on the best brain available
3. launch the CLI, pick any ticker and a date, it works on every market Yahoo covers, US stocks, crypto and more
4. the fundamentals agent digs through the financials and the news agent reads every headline and macro event that could move the price
5. the sentiment agent reads the crowd on Reddit, StockTwits while the technical agent reads the charts, RSI, MACD, the patterns
6. every agent writes a clean structured report instead of loose chat, which is the trick that stops the signal getting distorted as it passes along
7. then a bull agent and a bear agent debate the trade over multiple rounds, and a facilitator reads the whole debate and picks the winning case
8. the trader agent turns that into an actual call, then the risk team and portfolio manager approve or reject it before anything fires, same as a real desk
9. backtest the full pipeline across a grid of tickers and dates, it scores every decision on real alpha against the benchmark and logs what worked so it gets sharper each run
10. the agent debate takes minutes, so wire Jev in as the fast layer - it'll makes the final live call in just milliseconds
> this turns this research firm into a real self-improving 24/7 AI trading agent
the full build of AI trading bot that makes it trade live is in my article below:
Holy sh*t, I wish Iโd found this earlier.
someone put 300+ AI agent projects into one free GitHub repo
because half the time you think you need to build something newโฆ
someone already built it.
agent memory? there.
browser control? there.
coding agents, sandboxes, evals, voice, multi-agent teams, local models?
all there.
so I went through the list and started connecting the pieces:
> RUN - Ollama runs the model locally
> BUILD - LangChain connects everything
> CODE - Aider + Continue work inside your codebase
> ORCHESTRATE - CrewAI + AutoGen manage the agent team
> ACT - E2B + Composio give agents tools and somewhere safe to run
> REMEMBER - Mem0 keeps memory between sessions
> WATCH - AgentOps shows what your agents actually did
> SHIP - Vercel AI SDK helps turn it into a real product
but hereโs what clicked for me:
the list isnโt really a list. itโs a build-your-own-agent menu.
model -> framework -> tools -> sandbox -> memory -> evals -> product
missing something?
donโt spend the weekend rebuilding it.
find the category -> see what already exists -> grab 3 options -> check which oneโs still alive -> start there.
and if you want to build on top of the list itself, they even give you the ecosystem data in JSON + YAML.
> no signup.
> no paywall.
> MIT licensed.
> 300+ projects in one place.
basically, before I build anything agent-related now, Iโd check this repo first.
I pulled out the projects Iโd actually start with + the best stuff from each category below
Crypto is a group chat with a chart.
Charm is where you actually meet the people. @TheCharmPad
Scroll. Connect. Launch a coin together. Trade it on CharmPad.
Meet. Launch together. Trade. Get paid.
https://t.co/5elkO5r0gW
I HAD A 74% WIN RATE AND LOST $11,400 IN TWO YEARS. CLAUDE SAID ONE SENTENCE AND I MADE $8,900 IN 6 WEEKS
"you take profits like a coward and losses like a hero"
i laughed. then i opened my trade history and stopped laughing
my average win was +$140. my average loss was -$610.
i was right three times out of four and still bleeding, because every time i was wrong i held it like a religion
this is the thing nobody on this app wants to hear. win rate is a vanity metric.
the only number that matters is expectancy: what you make when you're right times how often, minus what you lose when you're wrong times how often
mine was negative. a 74% win rate with negative expectancy is just a slower way to go broke
so i stopped letting myself manage exits. claude reads every open position and jev decides one thing: is the reason i entered still true.
the moment that drops below 0.80, the position is gone. no hoping, no averaging down, no "it'll come back"
my win rate fell to 51%. my average loss went from -$610 to -$95
six weeks later i'm up $8,900. two years of being right never paid me once
being right feels amazing. being paid feels different
what's your win rate? i'll tell you if it's lying to you