Vadelo ☕ @saddevcoin - Twitter Profile

about 1 month ago

TUTORIAL COMPLETO DE CLAUDE CODE PARA CREAR WEBS ANIMADAS E INTERACTIVAS. 12 minutos. Resultado profesional. Desde cero. Guárdalo ahora. ⬇️

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saddevcoin retweeted

Jainam Parmar

@aiwithjainam

about 1 month ago

10 OPEN-SOURCE AI TRADING AND FINANCE REPOS THAT SHOULDN'T BE FREE Bookmark every one. Hedge funds pay six figures a year for what these give away for $0. 1. https://t.co/fZ4AXhfnY2 A Bloomberg Terminal costs $24,000 a year per seat. OpenBB gives you equities, options, crypto, macro, and fundamentals pulled from dozens of data vendors into one workspace, with an AI copilot on top. 2. https://t.co/JV8Te5qWZ9 The other Bloomberg killer, rebuilt as a native C++ desktop app for speed. 37 AI agents covering value investing to geopolitics, full QuantLib integration, and direct trading through 16 brokers including Interactive Brokers. 3. https://t.co/dJjCB0tpbA A full hedge fund team made of 18 AI agents. Buffett, Munger, Burry, Cathie Wood, and Druckenmiller each analyze the same stock from their own philosophy, then a portfolio manager makes the call. Backtesting built in. 4. https://t.co/cNZ4y7nvIm An autonomous hedge fund in Python. Four agents run back to back: a Director writes the thesis, a Quant validates it, a Risk Manager sizes the position and can block the trade, and an Execution agent places the order only after everything clears. 5. https://t.co/W3YMOLYbue A DAG-based multi-agent quant system where specialists debate and hand off while you watch the reasoning stream live. 64 finance skills, 29 swarm presets, cross-market backtesting. Ichimoku, Elliott Wave, Black-Scholes, Black-Litterman, full Greeks. 6. https://t.co/lvpe1hcyV2 Bloomberg spent millions training BloombergGPT and kept it locked inside the terminal. FinGPT is the open answer: financial language models you can fine-tune yourself for sentiment, forecasting, and analysis. 7. https://t.co/5Es2esXFPd The first open framework for training deep reinforcement learning agents to trade. Funds pay quant teams to build pipelines like this from scratch. 8. https://t.co/8jn9ts4qmI Microsoft's own AI quant platform. The full research pipeline funds build internally: data handling, alpha modeling, backtesting, and portfolio optimization, with supervised learning and RL baked in. 9. https://t.co/Odwbyp4Ayd The backtesting engine retail traders pay TradingView and others monthly subscriptions to access. Backtrader runs strategies against years of historical data on your own machine, with live trading support for multiple brokers. 10. https://t.co/nIKh2w60jj A full portfolio analytics tearsheet, Sharpe, Sortino, drawdown, rolling stats, the same risk report a fund's analytics desk produces. One line of Python turns your returns into an institutional-grade report. A $24,000 Bloomberg seat. Or a Docker command. Your call.

aiwithjainam's tweet photo. 10 OPEN-SOURCE AI TRADING AND FINANCE REPOS THAT SHOULDN'T BE FREE

Bookmark every one. Hedge funds pay six figures a year for what these give away for $0.

1. https://t.co/fZ4AXhfnY2

A Bloomberg Terminal costs $24,000 a year per seat. OpenBB gives you equities, options, crypto, macro, and fundamentals pulled from dozens of data vendors into one workspace, with an AI copilot on top.

2. https://t.co/JV8Te5qWZ9

The other Bloomberg killer, rebuilt as a native C++ desktop app for speed. 37 AI agents covering value investing to geopolitics, full QuantLib integration, and direct trading through 16 brokers including Interactive Brokers.

3. https://t.co/dJjCB0tpbA

A full hedge fund team made of 18 AI agents. Buffett, Munger, Burry, Cathie Wood, and Druckenmiller each analyze the same stock from their own philosophy, then a portfolio manager makes the call. Backtesting built in.

4. https://t.co/cNZ4y7nvIm

An autonomous hedge fund in Python. Four agents run back to back: a Director writes the thesis, a Quant validates it, a Risk Manager sizes the position and can block the trade, and an Execution agent places the order only after everything clears.

5. https://t.co/W3YMOLYbue

A DAG-based multi-agent quant system where specialists debate and hand off while you watch the reasoning stream live. 64 finance skills, 29 swarm presets, cross-market backtesting. Ichimoku, Elliott Wave, Black-Scholes, Black-Litterman, full Greeks.

6. https://t.co/lvpe1hcyV2

Bloomberg spent millions training BloombergGPT and kept it locked inside the terminal. FinGPT is the open answer: financial language models you can fine-tune yourself for sentiment, forecasting, and analysis.

7. https://t.co/5Es2esXFPd

The first open framework for training deep reinforcement learning agents to trade. Funds pay quant teams to build pipelines like this from scratch.

8. https://t.co/8jn9ts4qmI

Microsoft's own AI quant platform. The full research pipeline funds build internally: data handling, alpha modeling, backtesting, and portfolio optimization, with supervised learning and RL baked in.

9. https://t.co/Odwbyp4Ayd

The backtesting engine retail traders pay TradingView and others monthly subscriptions to access. Backtrader runs strategies against years of historical data on your own machine, with live trading support for multiple brokers.

10. https://t.co/nIKh2w60jj

A full portfolio analytics tearsheet, Sharpe, Sortino, drawdown, rolling stats, the same risk report a fund's analytics desk produces. One line of Python turns your returns into an institutional-grade report.

A $24,000 Bloomberg seat. Or a Docker command. Your call.

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