CryptoTrader-LM
| Property | Value |
|---|---|
| Base Model | Mistral-8B-Instruct-2410 |
| Parameter Count | 8B |
| Training Data Period | 2022-01-01 to 2024-10-15 |
| Performance Metric | 0.94 Sharpe Ratio |
| Fine-tuning Method | LoRA (Low-Rank Adaptation) |
What is CryptoTrader-LM?
CryptoTrader-LM is a specialized AI model designed for cryptocurrency trading, fine-tuned on the Mistral-8B architecture using LoRA technology. This model analyzes cryptocurrency news and historical price data to make informed trading decisions for Bitcoin (BTC) and Ethereum (ETH). Developed specifically for the FinNLP @ COLING-2025 Cryptocurrency Trading Challenge, it demonstrates impressive performance with a Sharpe Ratio of 0.94.
Implementation Details
The model leverages parameter-efficient fine-tuning through LoRA, with key training parameters including a batch size of 1, learning rate of 5e-5, and 3 epochs of training. The implementation uses mixed precision (FP16) and was trained on 4x A100 GPUs, completing in approximately 3 hours.
- Uses PEFT framework for efficient fine-tuning
- Implemented with PyTorch and Hugging Face Transformers
- Requires 24GB VRAM for inference
- Trained on comprehensive crypto market data and news
Core Capabilities
- Daily trading decision predictions (buy/sell/hold) for BTC and ETH
- News sentiment analysis and market trend interpretation
- 72% accuracy in trading decisions
- Achieved 8% average profit during testing period
- Effective handling of market volatility
Frequently Asked Questions
Q: What makes this model unique?
CryptoTrader-LM stands out for its specialized focus on cryptocurrency trading decisions, combining both news sentiment analysis and price data interpretation. Its parameter-efficient fine-tuning approach allows for sophisticated market analysis while maintaining computational efficiency.
Q: What are the recommended use cases?
The model is best suited for daily trading decisions in BTC and ETH markets, integration with automated trading systems, and research in financial decision-making. It's not designed for high-frequency trading or analysis of other financial assets.
