this repo by Goldman Sachs quants feels ILLEGAL to have for free... Goldman pays each quant ~$700k/year for skills you can now HIRE inside your Claude Code for $0 it's called gs-quant, built and maintained by Goldman's own quants - 13.5k stars first understand how it works: 1. Goldman's quants wrote the Claude skill themselves - it teaches Claude their whole toolkit: swaps, swaptions, FX options, risk, scenario shocks, backtests, delta hedging, transaction costs. it even lists the 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, correlation, z-scores, drawdown, beta, RSI here's how to run it yourself for FREE: 1. open Claude Code and install Goldman's library: pip install gs-quant, or just send it github.com/goldmansachs/gs-q… 2. add the skill: python -m gs_quant.skills install --global 3. ask Claude to pull 3 years of daily Henry Hub and European TTF gas prices 4. run Goldman's risk math on both: 22-day volatility, max drawdown, 60-day correlation 5. build the US vs Europe gas spread and take its 120-day z-score 6. flag every day the z-score fell below -2. that's when US gas was 2 standard deviations too cheap vs Europe 7. backtest one rule: buy the spread under -2, sell back at 0, with fees. Claude writes it and runs it on your laptop 8. stress it like Goldman does: shock the book +25bp and -25bp and see what's left of your P&L 9. compare it to doing nothing. if it doesn't beat that after fees, it's not an edge I'm done talking:

my own DANGEROUS terminal with this repo in trading right now gold just had its worst week since June. it broke $4,000, the Fed meets in 4 days, and everyone on my timeline is either buying the dip or calling the top so i asked an AI quant desk instead. one sentence, and it gave me an answer i could actually check it's called Vibe-Trading. open source, from HKUDS at the University of Hong Kong, 36.4k stars, #1 repo of the day the sentence i typed: "gold daily, buy pullbacks to the 50-day only when real yields are falling, 2020-26, stress-test it and export to TradingView" what happened next: > a planner split it into steps for 3 agents > it pulled 6 years of gold futures plus the 10-year real yield and the dollar index > a quant agent wrote the strategy and checked it for look-ahead bias before a single trade > backtest with fees and slippage included > then i called a macro desk swarm: rates, dollar, oil and positioning all report to one risk manager. with oil spiking and a Fed hike back on the table, it cut my size in half > Monte Carlo, Bootstrap and Walk-Forward. it showed me which years the edge actually worked and which it didn't > what survived exported straight to Pine Script and MetaTrader 5 i didn't write a single line of code. i just argued with it in English how to try it: 1. pip install vibe-trading-ai 2. vibe-trading init, pick your model and free data (yfinance needs no key) 3. vibe-trading run -p "your gold idea in one sentence" 4. vibe-trading --swarm-presets, then --swarm-run macro_rates_fx_desk 5. vibe-trading --pine <run_id> to get it into TradingView 6. it's built for research and backtests, not live orders. into a Fed week, the backtest is a hypothesis, not a signal i won't say anything more:

a Chinese developer just open-sourced the AI stock analyst that 67,000 people are already running every day it's called daily_stock_analysis. #1 trending Python repo, 55k forks, and it costs $0 to run every weekday at 6pm Beijing time it wakes up on its own and: > reviews the whole market: indices, how many stocks rose vs fell, limit-ups, which sectors led > pulls every stock on your watchlist from 7 data sources: A-shares, Hong Kong, US, Japan, Korea, Taiwan > calculates MA5/10/20, MACD, RSI, volume ratio, turnover > searches the news, filings and analyst reports for each one > hands it all to Claude Opus 5.5 and gets back a decision dashboard: buy / hold / sell, a score out of 100, entry, stop, target, risk alerts and a checklist > pushes it to your Telegram, Discord, Slack, WeCom, Feishu or email before dinner no server. it runs on free GitHub Actions. you fork it, add your keys, add your tickers, done here is how to set it up: 1. fork ZhuLinsen/daily_stock_analysis on GitHub 2. add your STOCK_LIST, an ANTHROPIC_API_KEY and a Telegram bot token as repo secrets 3. turn on GitHub Actions, it skips holidays in China, Hong Kong and the US by itself 4. run python main.py --market-review once by hand to see the full report 5. treat it as a second opinion, not a signal. the repo itself says it's for research, not investment advice full guide below ↓

this is f*cking DANGEROUS thing on internet today 113k stars. it's called TradingAgents, and it doesn't use one AI. it uses a whole team of them that argue with each other before a single trade i plugged it into Claude Opus 5.5 and watched it work through NVDA in 27 seconds: > 4 analysts pull the data in parallel: price action, social sentiment, news, 10-Q fundamentals > a bull agent and a bear agent debate for 3 rounds, the bear wins on sizing > a trader agent turns the verdict into entry, stop and target > 3 risk agents fight over position size: aggressive wants 4%, conservative wants 1% > a portfolio manager signs off at 2%. paper only, nothing goes live without you this is how real desks work. analysts, research, trading, risk, PM. now it's a folder on your laptop here is how to run it yourself: 1. open Claude Code and ask it to clone TauricResearch/TradingAgents and set it up 2. connect the free data vendors: YFinance for prices, Finnhub for news, Reddit for sentiment 3. run it on any ticker and date, and read every agent's report in the reports folder 4. ask Opus 5.5 to backtest the decisions on a year of history with real fees before you trust any of it 5. paper trade first. the agents argue so you don't have to, but the final yes is still yours the research paper and the full setup are below ↓

f*cking insane. I hired an AI head of trading for $0, gave it one rule: "find me trades that still make money after fees or you're fired", went to sleep, and Opus 5.5 had 5 tickets on my desk by morning the best quant desks run one head of research who knows every bot and manages everything. a human one costs $300,000 a year. mine runs on Opus 5.5 on a computer in the cloud, with my laptop shut i give the goal, it does the steps, i only make the calls the rule: "find me trades with real edge after fees. public data only. paper only. no order without my yes" the night: → 9pm broke the goal into 4 jobs and gave each a time slot, i wrote none of them → 11pm pulled 500 pairs from Binance's free API and cut every illiquid one, 180 left → 1am ran Kronos on every chart, 100 possible futures each, kept 24 where the paths agreed → 2am backtested all 24 on a full year with real fees and slippage, 17 died, 7 survived → 3am cut 2 that were the same bet, drafted 5 tickets with entry, stop and target. size left blank instead of guessing → 8am i typed 0.5% per trade. 5 tickets, 2.5% total risk, 0 sent honestly the blank size is what i'd pay for. an AI that sizes your trades for you is how accounts blow up and it runs again every night, and it never forgets to start 500 pairs → 24 trending → 7 survive fees → 5 tickets → 0 sent without my yes second 18, it leaves the size blank and hands it to me someone's AI desk is already scanning the charts you trade i left the whole setup below ↓ free, steal it

I turned Jane Street's public playbook into one prompt for a Grok Bot agent team this is insane... send it to your Grok Bot to spin up a full market-making desk from scratch: a desk head, pricers for every asset, an odds bot, and a risk bot from a different model that can veto any trade nothing trades on its own word. you approve every order then read the full AI trading desk roadmap below ↓

this is the most INSANE thing on internet today someone built an AI that reads candlestick charts the way GPT reads English & released it for 100% FREE i connected it to my TradingView setup with opus 5.5 & now my AI trading system reads every candle & maps out 100 possible next moves before they happen first understand how KRONOS works: > LLMs like ChatGPT or Claude turn words into tokens & predict the next word > Kronos turns every candle into tokens & predicts the NEXT CANDLE > it is pre-trained on 12 BILLION candles from 45 exchanges here is how to build the full system for FREE: 1. open Claude Code with Sonnet 5.5 and ask it to clone the Kronos repo and set everything up, it handles the install for you 2. switch to opus 5.5 and have it load Kronos-small from Hugging Face, 24.7M params, it runs on a normal laptop 3. pull the same candles you see on TradingView from Binance's free public API, any coin, any timeframe, no account needed 4. feed Kronos the last 512 candles and ask for the next 24, exactly like asking an LLM to finish a sentence 5. set sample_count to 100 so Kronos draws 100 possible futures instead of one guess, the spread between them shows how risky the next move really is 6. let opus read the regime from those futures: most paths pointing the same way = TRENDING, paths scattered both ways = CHOPPY 7. have opus turn the forecast and the regime into entry, exit and stop rules, then backtest them on a year of history with real fees and slippage 8. plot the predicted paths next to real candles with TradingView's free Lightweight Charts library & watch it for a few days before you trust it 9. paper trade first, then let opus wire up a Telegram bot so your phone pings the moment a high-confidence trending setup forms if you want to build an AI trading system from scratch, start with this article below:

Jane Street made $39.6B trading in 2025, and a big part of their name was built on ETF market making So I wrote the prompt to make Opus 5.5 think like their desk THIS IS A F*CKING GOLDMINE... It builds a complete ETF market-making desk from scratch: fair value from the basket, quotes around it, hedges in seconds, inventory in risk units, adverse selection marked out per fill, and a backtest that tries to prove the edge is fake Approval-gated. Paper first. Copy it ↓

Opus 5.5 now trades Tesla like a skeptic $1.13 at IPO (split-adjusted) to $362. ~320x. But Tesla just showed a flying Roadster with no price and a 2028 date - the stock popped pre-market and then sold off 4 agents: @Catalyst, @Story, @Vol, @Ledger. They track every promise Musk made vs what shipped, and size every trade to survive a -50% drop Honestly, this is f*cking unreal... all 4 prompts in the image ↓