Someone open-sourced a foundation model that reads candlestick charts the way GPT reads English. Kronos was trained on 12 billion K-line records from 45 global exchanges, and it just got accepted at AAAI 2026.
Here's how it works, what the benchmarks actually show, and why it matters if you build financial products.
Links:
Repo: https://github.com/shiyu-coder/Kronos
Paper: https://arxiv.org/abs/2508.02739
HuggingFace models: https://huggingface.co/NeoQuasar
Live BTC/USDT demo: https://shiyu-coder.github.io/Kronos-...
CHAPTERS
00:00 A foundation model for candlesticks
00:06 The full story
00:51 Key numbers
01:16 900K+ downloads
01:28 Walking through the repo
02:47 Why this matters beyond quant
03:47 Benchmark scorecard
04:28 Two-stage architecture
05:31 Three tasks, one model
06:29 Model zoo and fine-tuning
07:23 Getting started
08:06 Project timeline
08:49 Who should pay attention
09:55 Honest verdict
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