A TEAM OF AI RESEARCHERS JUST OPEN-SOURCED THE BLOOMBERG TERMINAL FOR QUANT FINANCE.
A Bloomberg Terminal costs $25,000 per year per seat. Banks pay for thousands of them.
This thing reads every quant paper, every financial blog, every SEC filing, every arXiv preprint, and turns it into a searchable knowledge base. For free.
It's called QuantMind.
It just got accepted to the NeurIPS 2025 GenAI in Finance Workshop.
Here's what it actually does:
→ Ingests arXiv quant papers, financial news, blogs, and reports automatically
→ Parses PDFs, HTML, tables, and figures into structured knowledge
→ Tags every paper by research area and topic
→ Builds a semantic knowledge graph you can query in plain English
→ Plugs into DeepResearch, RAG, and MCP for multi-hop reasoning
→ Two-stage architecture: extract once, retrieve forever
Here's the wildest part:
The financial research industry publishes around 500 new papers and reports every single day.
Hedge funds pay six-figure salaries to junior analysts whose entire job is reading them.
QuantMind reads all of it. Tags it. Embeds it. Lets you ask it questions.
154 stars. 22 forks. 173 commits. MIT license. Python.
One honest note: this is a framework, not a magic alpha machine. You still need to know what to ask. But the "I haven't read that paper yet" excuse is officially dead.
The thing Wall Street charges $25,000 a year for is sitting on GitHub. Free.
Link in the comments.
wait so this turns ai into real-life JARVIS from ironman. thats so damn cool
100% of my interaction with LLMs has been voice to text in the last 3 months (exc some code)
looks like this cursor update now lets you gesture at things on-screen and the ai intuitively knows what you’re referring to
idc what you say that’s a MUCH better experience than screenshotting random shit
THIS GUY BUILT HIS OWN JARVIS WITH 9 AI AGENTS AND 5 MEMORY BACKENDS AND IT NOW MAKES HIM $10,000 A MONTH
Jarvis + GitHub + ChatGPT 5.5 - open-source stack that runs entirely on his own server with zero data leaving his machine and zero monthly API surprises.
9 agents working in parallel, 5 memory backends that remember everything across sessions and a system that learns his business in month one and runs it by month six.
Every message he sends stays on his hardware - not on someone else's cloud server getting processed and shipped back for a fee.
Built once. Sold to every company that wants the same thing.
An Anthropic engineer paid for my espresso at Sightglass when he saw my screen
I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling.
"That's not a normal trading app. What's it actually running on"
I told him. Claude Code. Four repos. $25 a month.
He sat down without asking.
"I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges"
Not just edges. Wallets.
86 million trades. Every wallet. Every entry. Every exit.
"You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them"
He said it slowly. Like he was writing the threat model in his head.
One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50.
Claude scanned 14,000 wallets in 4 minutes. Returned 47.
The top 20 made more than the bottom 13,000 combined.
"That's not a stat. That's a hit list"
Exactly.
"And you didn't write the scoring function"
Claude did. I just wired it into an if-statement.
Then I showed him the second repo.
Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes.
Gap. Depth. Resolution window.
487 markets become 35 before a dollar moves.
93% killed before I even see them.
A green fill landed on the screen. +$84.
He watched it hit.
"How does it decide to actually enter"
Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade.
Consensus filter alone killed 40% of losing trades.
"And the exits?"
The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately.
My bot cuts at 85% of expected move or on a 3x volume spike.
"You built a whale copy bot that exits before the whales"
Yeah.
He put his espresso down.
"How often does it trade"
10 a day on average. Most of them skipped before I look up from my coffee.
My setup:
Claude API - $20/mo
VPS in Germany - $5/mo
poly_data - free
polymarket-cli - free
Polymarket/agents - free
$200 seed. 27 days ago. $14,300 now.
Copytrade here: https://t.co/zDXGamMWw0…
271 trades. 74% win rate. Sharpe 2.47.
I haven't touched it in 27 days.
He stared at the screen for a long time.
"This is literally what our red team simulates. Except you actually shipped it"
He emailed me the next morning.
"Any chance you'd take a call with our policy lead"
I told him the article is the call. Read it twice.
Too late to gatekeep.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'Claude'
2. Like and Retweet this post
3. Follow me
@ZayvenKnox
This is the vision for Wally:
• Support for UTXO chains, EVM chains and tokens
• Seamless dApp connections — just like MetaMask
• Launching first as a Firefox + Chrome extension
• Fully open-source on GitHub
Solana, Cosmos, Ripple, and more coming later.
@WallyIDOfficial
@NFLonCBS You don’t run up on a ref get in his face while failing your arms not in control of your emotions demanding a flag thrown in your favor those are the rules period! He’s lucky if he doesn’t incur a fine.
Claude controlling @tradingview live — switching symbols, writing Pine Script, batch scanning futures, replay trading, drawing levels. All from the terminal. Still rough edges but the vision is clear.
RIP TRADERS!
CLAUDE IS NOW RUNNING TRADINGVIEW LIVE FROM THE TERMINAL.
PINE SCRIPT. FUTURES. LEVELS. EVERYTHING. AUTOMATICALLY.
TRADERS ARE OFFICIALLY COOKED.