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Documentation Index

Fetch the complete documentation index at: https://kindling.birklid.com/llms.txt

Use this file to discover all available pages before exploring further.

Open SourceModels Layer

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Kronos

The first open-source foundation model for financial time-series — pretrained on OHLCV data from 45+ exchanges for price forecasting and market analysis.
Kronos GitHub

Type

Open Source (MIT)

Stack Layer

Models

Language

Python

Stars

23.7k+

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What it is

Kronos is the first open-source foundation model purpose-built for financial candlestick (K-line) data. It uses a two-stage architecture: a specialized tokenizer converts OHLCV (open/high/low/close/volume) data from 45+ global exchanges into discrete hierarchical tokens, which a large decoder-only transformer models autoregressively. Multiple model sizes (mini, small, base) are available on Hugging Face, enabling price forecasting, market pattern recognition, and fine-tuning on custom financial datasets. The Models layer designation reflects what Kronos is: a foundation model, not an application. It’s the learned representation of financial market behavior that downstream trading applications can build on, in the same way that LLMs are used as a base for natural language applications.
Use this when you’re building a quantitative trading system and want to leverage a pretrained financial foundation model rather than training a time-series model from scratch — particularly if you need cross-exchange generalization or want to fine-tune on a specific market’s patterns.

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Get started

GitHub ↗

Model weights, training code, and Hugging Face links.

TradingAgents

Multi-agent framework that could use Kronos-derived signals as one analyst input.

Dexter

Autonomous financial research agent with real-time market data tools.