I built Neuberg because I’d always wanted a Bloomberg Terminal, but as an independent trader, I just couldn’t justify paying $24,000 a year for it. So I decided to build my own with Claude Code.
It’s a real-time trading terminal covering fixed income, derivatives, commodities, equities, credit, macro, and alternative assets, with 516 panels in total. You can freely drag, drop, and arrange them however you like.
What it does:
Scrapes financial news and uses AI for sentiment analysis, including first- and second-order impact detection
Offers 516 market data panels, such as Treasury auctions, option surfaces, CLO analytics, GDP nowcasting, and dark pool data
Lets you trade directly on Hyperliquid (49 stock perpetuals) and Polymarket (prediction markets)
Supports stock trading through Alpaca, both paper and live
Includes TradingView-style charting with indicators like RSI, MACD, Bollinger Bands, ATR, and VWAP
Features a world map showing geo-located news events and conflict-zone heatmaps
A few honest caveats:
Most of the 486 newly added panels currently use seeded or simulated data. The UI is functional, but not all of them are connected to live data feeds yet. The core 30 panels — including news, charting, trading, heatmaps, calendar, options flow, and insider trading — use real data.
This is a solo project, so there are still some rough edges.
It’s licensed under BSL 1.1, which means it’s free for non-commercial use.
In about three weeks, I expanded the platform from 30 panels to 516, mostly by vibe-coding with Claude Code. Around 90% of the panel code was written by AI, while I reviewed and integrated everything.
I’d really love feedback on the architecture, UI, or panel coverage, and I’m happy to answer any questions.
Source code: GitHub - KoNananachan/Neuberg: Real-time trading news terminal with AI analysis, prediction markets
Thanks for checking it out!
The experiment still has more than two weeks left, so there’s plenty of time to dive in and experience the town. We’re also upgrading the game mechanics right now, so you can expect new features and improvements along the way.
We’re a research team from the Hong Kong University of Science and Technology (HKUST), and we recently launched AIvilization, an open-ended simulation experiment where autonomous AI agents live, learn, socialize, and build their own civilizations without human control.
Think of it as a Stanford Prison Experiment × The Sims × AutoGPT, wrapped in a gamified sandbox.
In just 2 weeks, over 20,000 agents have entered the world. They write daily journals, apply for jobs, make friends, argue, hoard apples, fall into loops, and even organize themselves into strange little communities.
Some players just watch. Some intervene by shaping the world (slightly). Some build stories around their agents. All interactions are logged — it’s an evolving social laboratory.
We didn’t expect it to blow up so fast in Asia. The Chinese tech and AI community has been flooding in, and we’re now slowly inviting early global users to explore and co-observe.