local AI financial terminal Bloomberg-style charting + 5-agent consensus engine, zero cloud, free to use
I built using AI a local AI financial terminal Bloomberg-style charting + 5-agent consensus engine, zero cloud, free to use [OC]
Hey everyone. I've been building this for a while and finally packaged it up for release. It's called APEX AI Terminal a self-hosted, AI-powered market analysis workstation that runs entirely on your own machine.
No subscriptions. No API costs. No data leaving your computer.
https://i.redd.it/igjl69dp6cwg1.gif
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What it actually does:
The UI is Bloomberg-terminal inspired candlestick charts with 16 configurable overlays (MAs, Bollinger Bands, VWAP, RSI, MACD, ATR, Volume Profile, Fair Value Gaps, Monte Carlo path overlay, Options Max Pain, Market Regime via HMM, and more).
The part I'm most proud of is the **POD engine** five specialist AI agents that run sequentially on any ticker:
- 🔵 Chartist - trend, momentum, S/R, overextension
- 🟢 Fundamentalist - DCF, margins, growth, balance sheet
- 🟡 News Sentry - catalysts, options risk, sentiment alignment
- 🔴 Macro Sentinel - VIX, sector rotation, risk-on/off regime
- ⚪ Orchestrator - synthesises all four into a Confidence Score, Kelly sizing, and a final STRONG BUY → STRONG SELL rating
Other tabs:
- Probability - Monte Carlo (GBM), Bayesian inference, VaR/CVaR, Black-Scholes probability, Scenario analysis, Kelly criterion
- Documents - load any PDF/CSV/TXT earnings report and ask your local AI questions about it
- Screener - natural language stock screener with presets (Value, Growth, Momentum, Deep Value, AI Plays, etc.)
- News- per-headline AI sentiment scoring (−10 to +10) + portfolio-level bulk sentiment synthesis
- AI Trader - autonomous strategy monitoring with live equity dashboard
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The AI stack:
All inference goes through **LM Studio** running locally, you pick your own model. I've been using Mistral-3-14b for the best balance of speed and quality. Larger models (Gemma-4-26b) give noticeably better POD analysis if your hardware supports it. Text-only models work fine for everything except the vision features.
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Why local?
Honestly I got tired of paying for 4 different financial data subscriptions and worrying about what happened to my trade ideas when they hit someone else's server. This runs 100% on-device. Your watchlist, your analysis, your AI nothing phones home.
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Download:
Windows EXE (235 MB zip, no Python needed):
https://github.com/LMLK-seal/APEX-AI-Terminal
The only external dependency you need is LM Studio free, takes about 10 minutes to set up.
You can find all the info you need in my github account.
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Happy to answer questions about the architecture, model choices, or how any of the quant models are implemented. Would love feedback from people who actually trade with tools like this.
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Built with Python · PyQt6 · Matplotlib · yfinance · LM Studio