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apogee-nano-2.4M-base
duonlabs/apogee-nano-2.4M-base
apogee-nano-2.4M-base is a machine learning model from duonlabs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
<div align="center" <a href="https://www.duonlabs.com" target="blank" <img src="https://www.duonlabs.com/theme/images/duonwhite.png" width="30%" alt="Duon Labs Logo" / </a </div <h1 align="center" style="font-size: 3r…
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Public
Updated Mar 19, 2025
Repo size
28.9 MB
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Mar 4, 2025
- Updated
- Mar 19, 2025
- SHA
- 81df173f
Model card
From the Hugging Face model README
<div align="center">
<a href="https://www.duonlabs.com" target="_blank">
<img src="https://www.duonlabs.com/theme/images/duon_white.png" width="30%" alt="Duon Labs Logo" />
</a>
</div>
<h1 align="center" style="font-size: 3rem;">Apogée: Crypto Market Candlestick Dataset</h1>
<hr>
Overview
Most traders believe crypto is random, but deep learning scaling laws suggest otherwise. Apogée is an open-source research initiative exploring the scaling laws of crypto market forecasting. While financial markets are often assumed to be unpredictable, modern deep learning suggests that increasing data and compute could uncover measurable predictability. Our goal is to quantify how many bits of future price movement can be inferred from historical candlestick data. More informations on Apogée
- Library
- transformers
- License
- apache-2.0
- Created
- Mar 4, 2025
- Updated
- Mar 19, 2025