FinGPT: AI Just Got Serious About the Stock Market
Section titled “FinGPT: AI Just Got Serious About the Stock Market”Until now, asking ChatGPT to summarize earnings reports or distill Seeking Alpha articles felt like a party trick.
But things just changed.
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Over a year ago, I casually wrote: “This is it! #1 — Turks are finally putting AI to proper use.” It was meant as a lighthearted nod to our local creativity with LLMs — from voice-cloning actors to hacked-together mini copilots.
What I didn’t expect? An avalanche of impressions… Since then, I’ve documented more than 30 “This is it!” moments:
🏥 AI therapists in Turkish hospitals, 🚚 GPT-powered supply chain bots, 🎧 AI musicians and cloned voice actors, 🌾 AI farmers, 🧮 AI risk analysts, 🧑💻 and developers everywhere building magic from scratch.
Fast forward to today, the series has racked up 400,000+ impressions across platforms and evolved into a kind of living documentary of how AI is crashing into everyday life — one field at a time. Now here we are at #10. And AI just entered the stock market — for real.
Columbia researchers recently built a production-ready, end-to-end LLM-powered trading system that:
- Reads real-time news, earnings releases, even Reddit threads
- Gauges sentiment and named entities
- Applies technical indicators like RSI, SMA, and Stochastic Oscillator
- Fires actual trading signals — no human analyst involved
But here’s the kicker — the core engine is open-source: FinGPT, available on both Hugging Face and GitHub:
Find the original FinGPT paper from 2023 here -> https://arxiv.org/abs/2306.06031
- 🔗 Hugging Face hub: https://huggingface.co/FinGPT
- 🔗 GitHub repo: https://github.com/AI4Finance-Foundation/FinGPT
🚀 Key features:
- ✅ Combines LLM-based sentiment with technical indicators like RSI, SMA, and Stochastic Oscillator
- 🧠 Uses a finance-specific LLM, FinGPT, fine-tuned for real market language
- 📊 Achieved +700% improvement in Sharpe ratio over traditional technical-only trading
- 💡 Shows 30–60%+ win ratio uplift for stocks like $TSLA, $AAPL, and $AMZN
- 🌐 Deployed live via Kubernetes, Colab, and FastAPI
So yes, you can:
Ask an LLM to monitor earnings releases, Reddit, and Bloomberg at once. Generate signals more robust than just RSI threshold. Build a backtested system that actually beats dumb money.
📉 Still on Turkiye’s BIST? Hope not, honestly, don’t. Too many whales, too much noise.
📈 Instead, watch the S&P 500 as the rate cut cycle begins. The stage is set.
This is no longer theoretical.
📦 GitHub: https://github.com/Ronitt272/LLM-Enhanced-Trading
#ThisIsIt #LLMTrading #FinGPT #QuantFinance #SP500 #NotFinancialAdvice
Best
Altan
P.s.
For the previous post in this series check this link ->## 🧠 This is it! — #9 The First AIs With 130+ IQs Started Popping Up. Seriously!
Not long ago, language models were clever assistants — parroting back facts, drafting emails, maybe summarizing PDFs…
Section titled “Not long ago, language models were clever assistants — parroting back facts, drafting emails, maybe summarizing PDFs…”[
medium.com
Also P.s.
Among the 100+ use cases identified by HBR, this sits at number 6 (investment ideas), 32, 49, 73 (buy and sell) and 94.

Ideas for the future of society, #AI and #innovation — connecting big-picture strategy with real-world execution. x-SAS, x-Experian, x-GarantiBBVA, METU, YTU
Responses (1)
Section titled “Responses (1)”Talbot Stevens
What are your thoughts?
Totally agree 100%Currently working on AI trading system using trend following, mean reversion or statistical arbitrage strategies optimized for use over multiple time frames from intraday to quarterly.Great time to be a software developer that knows how to trade too!!!3
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