đ DeepHermes Financial Fundamentals Prediction Specialist - Atropos RL
The DeepHermes Financial Fundamentals Prediction Specialist - Atropos RL is an experimental model designed to enhance the accuracy of financial fundamentals predictions. It leverages reasoning-intensive reinforcement learning techniques, providing more reliable forecasts in the financial domain.
đ Quick Start
This model is fine - tuned by Nous Research using the new open - source LLM RL Gym, Atropos. It focuses on improving the accuracy of financial fundamentals direction prediction through reinforcement learning.
⨠Features
- Financial Fundamentals Prediction: It has an enhanced ability to predict market direction during intensive reasoning tasks using RL.
- Built with Atropos RL Environments: Constructed with the open - source Atropos reinforcement learning stack.
- Reasoning - Enhanced Predictions: Specifically optimized for scenarios that require deep analytical reasoning in financial contexts.
đĻ Installation
No installation steps were provided in the original document, so this section is skipped.
đģ Usage Examples
Basic Usage
The model is optimized for reasoning - intensive financial analysis tasks. It supports deep reasoning mode, where given a company's context (previous quarter's financials data), it can predict the next future quarter's fundamental metric direction.
đ Documentation
Model Overview
The DeepHermes Financial Fundamentals Prediction Specialist - Atropos RL is an experimental model artifact. It is fine - tuned by Nous Research using the new open - source LLM RL Gym, Atropos. This model aims to enhance the accuracy of financial fundamentals predictions through reasoning - intensive reinforcement learning techniques.
Note: This model is experimental and is not intended as a general - purpose state - of - the - art solution.
Atropos Open Source Framework
Atropos is Nous Research's open - source reinforcement learning environment stack. It is engineered to optimize diverse LLM capabilities through structured RL methodologies. Contributions and active engagement from the community are highly encouraged:
đ Atropos GitHub Repository
Evaluation Results
Training and evaluation focused on improving financial fundamentals direction prediction accuracy:
Evaluation Metric |
Final Accuracy |
Direction Prediction Accuracy (train) |
~20% -> ~50% Accuracy |

Community and Support
We welcome contributions, suggestions, and issues through our community channels:
How to Cite
@misc{
title={DeepHermes Financial Fundamentals Prediction Specialist - Atropos RL},
author={Teknium and Dakota Mahan and Roger Jin and Chen Guang and Jai Suphavadeeprasit and Jeffrey Quesnelle},
year={2025},
url={https://huggingface.co/NousResearch/DeepHermes-Financial-Fundamentals-Prediction-Specialist-Atropos-RL}
}
đ License
This model uses the llama3 license.