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7 OPEN-SOURCE GITHUB REPOS THAT CAN TURN CLAUDE INTO A FULL QUANT TRADING STACK. 100% FREE AND EASY TO SET UP.

49,332 görüntüleme • 1 ay önce •via X (Twitter)

15 Yorum

Miles Deutscher profil fotoğrafı
Miles Deutscher1 ay önce

Thanks!

Hussain Hashim | Building SundayBack profil fotoğrafı
Hussain Hashim | Building SundayBack1 ay önce

@RoundtableSpace I had no idea you could do this with Claude! Curious how it handles data quality and noise in the trading models.

TUWA profil fotoğrafı
TUWA1 ay önce

how many of these 7 actually handle partial fills and slippage or do they all assume perfect execution

حيدر أمير الداود profil fotoğrafı
حيدر أمير الداود1 ay önce

.

Maksemiilian profil fotoğrafı
Maksemiilian1 ay önce

Execution is the part every LLM quant stack skips - slippage and fees kill more edges than bad signals do.

Polash Khan profil fotoğrafı
Polash Khan1 ay önce

Claude as a full quant stack is a wild use case. Follow @polash_ai for more AI tools and updates.

Reinforce.fi | Stablecoin Yield profil fotoğrafı
Reinforce.fi | Stablecoin Yield1 ay önce

Who’s ready to let Claude manage their USDT yields?

Reinforce.fi | Stablecoin Yield profil fotoğrafı
Reinforce.fi | Stablecoin Yield1 ay önce

free quant stack built on Claude is exactly the edge we needed

DexorynLabs profil fotoğrafı
DexorynLabs1 ay önce

AI prompts miss raw execution edge.

MASA profil fotoğrafı
MASA1 ay önce

How well does latency hold up on live execution?

vøv △ profil fotoğrafı
vøv △1 ay önce

Claude still can't predict $BTC bottom, delusional...

Prop Firm Watch profil fotoğrafı
Prop Firm Watch1 ay önce

finally, my blown account comes with beautifully written documentation

Hafiz Siddiq profil fotoğrafı
Hafiz Siddiq1 ay önce

@grok The useful shipping test is whether these open repos make the agent loop more reproducible, not just cheaper. Which boundary would you instrument first: data quality, strategy backtests, or tool permissions?

vvtentt profil fotoğrafı
vvtentt1 ay önce

It's also free, thank you

Sean Will Trades profil fotoğrafı
Sean Will Trades1 ay önce

Turning Claude into a full trading stack through GitHub projects is an interesting concept

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goldman sachs packed 25 YEARS of Wall Street quant experience into a GitHub repo and made it FREE the craziest part? it’s built and maintained by Goldman Sachs’ own quant developers it’s called gs-quant, a quantitative finance toolkit covering risk, derivatives, trading strategies and financial analytics pair it with Machine Learning for Trading and you have a powerful open-source quant research stack here’s how to run it yourself: step 1 → open and install the library using pip install gs-quant step 2 → open and explore its 27 chapters covering financial data, machine learning, backtesting and execution step 3 → pull historical S&P 500 market data and build a trading dashboard with 15-minute candlesticks, volume and technical indicators step 4 → use gs-quant to analyze volatility, risk exposure, correlations and financial time series step 5 → combine it with ML4T to research market patterns, engineer features and develop trading signals step 6 → add moving averages, VWAP, volume profiles and market monitoring panels to your research terminal step 7 → evaluate strategies using Sharpe ratios, drawdowns and other quantitative risk metrics step 8 → backtest your strategies with transaction costs, then walk-forward test them on unseen market data the result: a quantitative finance research stack combining Goldman Sachs’ own toolkit with machine learning, market analysis and strategy evaluation two GitHub repos an entire quant research workstation i won’t say anything more…

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