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Kronos Financial Time-Series AI Model

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TL;DR

Kronos is an AI model for financial time-series analysis that tokenizes candlestick (K-line) chart data and uses autoregressive pre-training to predict stock price movements. It was trained on 12 billion records from 45 exchanges. It addresses the lack of domain-specific foundation models for financial chart data by treating candlestick patterns as a tokenizable language, enabling price prediction without relying on general-purpose LLMs like GPT.

What it actually is

  • What: Kronos is an AI model for financial time-series analysis that tokenizes candlestick (K-line) chart data and uses autoregressive pre-training to predict stock price movements. It was trained on 12 billion records from 45 exchanges.
  • Who built it / maintained by: shiyu-coder (individual researcher on GitHub)
  • Status: stable
  • Why it matters: It addresses the lack of domain-specific foundation models for financial chart data by treating candlestick patterns as a tokenizable language, enabling price prediction without relying on general-purpose LLMs like GPT.
  • How it compares to alternatives:
  • FinGPT
  • BloombergGPT
  • TimeGPT
  • LagLlama
  • PatchTST
  • GitHub stars: 31,836 · License: MIT · Archived: no

Links

  • Repo: https://github.com/shiyu-coder/Kronos
  • Docs: https://github.com/shiyu-coder/Kronos#readme

Kickstarter guide

Clone the repository from https://github.com/shiyu-coder/Kronos and follow the README setup instructions. The model is implemented in Python, so install dependencies via the provided requirements file. You can then load pre-trained weights and run inference on candlestick data from supported exchanges. The social media post also references using it alongside Claude for a guided walkthrough.

Retry history

  • Updated: 2026-07-06
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