Bloomberg charges institutions $27,000 a year. An open source project on GitHub is quietly doing most of the job for free.
FinceptTerminal. 2,600 stars. Active development. Pure native C++20 desktop app with Qt6 and embedded Python. Runs on Windows, Mac, and Linux.
And unfortunately, that's why I'm not forking it and creating a special customized Sean Donahoe version for my private clients.
The AGPL license prevents commercial use, but I've got to admit, it's a bloody good piece of kit.
I have been running it on one of my rigs, and the potential is seriously good for those that like data (and we all know I am a data nerd...)
Features that made me pay attention:
• 19,000+ instruments with real-time OHLCV • 100+ data connectors: Polygon, Kraken, Yahoo, FRED, IMF, World Bank, AkShare, government APIs • 20+ investor personas baked in (Buffett, Dalio, Graham) plus Bridgewater, Citadel, and Renaissance style hedge fund logic • Local LLM support plus OpenAI, Anthropic, Gemini, Groq, DeepSeek, Ollama • Full CFA Level 1, 2, 3 curriculum implemented as Python modules • DCF, portfolio optimization, VaR, Sharpe, derivatives pricing • 50+ technical indicators • Cross-domain integration Bloomberg cannot match: maritime shipping feeding commodity signals, geopolitics into currency hedging, supply chain into portfolio optimization
Between a book I am writing and the AI software I am building, I have no bandwidth to white-label this for retail traders myself, and the AGPL license would make that a licensing nightmare anyway.
I could rebuild it from scratch, but bugger that.
But even out of the box, this thing is bloody good.
If you are trading, analyzing markets, or running a fund and you are not at least poking at this, you are leaving alpha on the table.
Bloomberg charges institutions $27,000 a year. An open source project on GitHub is quietly doing most of the job for free.
FinceptTerminal. 2,600 stars. Active development. Pure native C++20 desktop app with Qt6 and embedded Python. Runs on Windows, Mac, and Linux.
And unfortunately, that's why I'm not forking it and creating a special customized Sean Donahoe version for my private clients.
The AGPL license prevents commercial use, but I've got to admit, it's a bloody good piece of kit.
I have been running it on one of my rigs, and the potential is seriously good for those that like data (and we all know I am a data nerd...)
Features that made me pay attention:
• 19,000+ instruments with real-time OHLCV
• 100+ data connectors: Polygon, Kraken, Yahoo, FRED, IMF, World Bank, AkShare, government APIs
• 20+ investor personas baked in (Buffett, Dalio, Graham) plus Bridgewater, Citadel, and Renaissance style hedge fund logic
• Local LLM support plus OpenAI, Anthropic, Gemini, Groq, DeepSeek, Ollama
• Full CFA Level 1, 2, 3 curriculum implemented as Python modules
• DCF, portfolio optimization, VaR, Sharpe, derivatives pricing
• 50+ technical indicators
• Cross-domain integration Bloomberg cannot match: maritime shipping feeding commodity signals, geopolitics into currency hedging, supply chain into portfolio optimization
Between a book I am writing and the AI software I am building, I have no bandwidth to white-label this for retail traders myself, and the AGPL license would make that a licensing nightmare anyway.
I could rebuild it from scratch, but bugger that.
But even out of the box, this thing is bloody good.
If you are trading, analyzing markets, or running a fund and you are not at least poking at this, you are leaving alpha on the table.
$GT $POWER $RAVE
#Gate13thAnniversaryLive #GatePreIPOsLaunchesWithSpaceX #AltcoinsRallyStrong