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bodila@51bodila·16.3K followers·22d agodoes Bloomberg know their Quants LEAKED this trading research repo ?! trading desks pays Bloomberg ~$30k/year for this, you can plug their research formula into Claude Code for $0 it's called causal-ts, built by Bloomberg's own researchers here's how it' work: 1. Bloomberg researchers wrote the skill themselves, it teaches Claude their causal-ts library: 4 discovery algorithms, 13 statistical tests, built for market data that's "neither linear, Gaussian, nor stationary" 2. Claude doesn't guess, it checks your data, picks the method itself, warns you before a slow run and hands back every link with its lag in days. Links that only exist because the whole market moved get flagged here's how to run it yourself for free: 1. open Claude Code and install Bloomberg's library: pip install causalts or send this repo - https://t.co/9MOw2tNpla 2. add the skill: causal -ts install-skill 3. ask Claude to pull 3 years of daily prices for your stock and what might move it: rivals, its sector
bodila@51bodila·16.3K followers·26d ago7 Chinese students just built new AI for trading that predicts next market move and made it public for free... It studied 12 billion candles from +45 excganges, show it a chart → it draws the next opportunity run it yourself, guide below: step 1 → copy prompt below into Claude Code, it reads the official repo and installs everything for you step 2 → it picks the right model for your machine, the small one has 24.7M parameters, a normal laptop handles it step 3 → pick any ticker: Nvidia, Tesla, the S&P 50, gold. it pulls free market data, no broker account needed step 4 → Kronos reads the last 512 candles and draws the next ones as a range of possible paths, not one magic line step 5 → the killer feature: test mode, it hides the last candles, predicts them blind and shows how often it was right step 6 → you get one chart with history, forecast and reality side by side, plus a plain-English summary step 7 → change one word to switch ticker, timeframe or model size, hourly, daily
bodila@51bodila·16.3K followers·22d agothis repo by Goldman Sachs quants feels ILLEGAL in trading... Goldman pays each quant ~$700k/year for skills that you can HIRE in your Claude Code for free it's called gs-quant, built and maintained by Goldman's own quants - 12.9k stars first understand how it works: 1. Goldman's quants wrote the skill themselves: 8 files, 1847 lines - it teaches Claude their toolkit: pricing, risk, portfolios, market data, backtests, swaps, swaptions, FX options, delts hedging, transaction costs - all in there. It even lists errors you'll hit and how to fix them.. 2. Claude pulls it in every time it writes gs-quant code and the risk math runs right on your laptop: volatility, drawdown, z-scores, beta, RSI here's is how to run it yourself for FREE: 1. Open Claude Code and install Goldman's library: pip install gs-quant or send this repo - https://t.co/0eJWsAxdpz 2. add skill: python -m gs_quant.skills install --global 3. ask Claude to pull 5 years of daily prices for any stock and SPY with fin
bodila@51bodila·16.3K followers·28d agoStanford student just reverse-engineered Jane Street's Quant training system... turned it into 24/7 self-improving AI trading agents - dropped 11-page PDF here's playbook in 6 steps: step 1 → copy the Jane Street game: clone open-source Figgie simulator - a full market with 6 bots to trade against step 2 → give it a quant brain: Claude Code writes a bot that counts cards and quotes around fair value step 3 → let it train itself: thousands of games VS its own past versions - the Stanford recipe step 4 → check it's real: 600 games VS a zero-info bot - same profit = fake edge step 5 → make it a trading bot: same skills, real market - fair value from the order book, quotes around it step 6 → run it 24/7 on paper: Alpaca paper account + /loop 1h "tweak one thing, keep it if profit goes ip" the result: what Jane Street teaches its Quants, now running in your terminal 24/7 Read PDF course now. Then learn how to build full trading system below:
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