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--- |
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license: apache-2.0 |
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library_name: transformers |
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--- |
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# FinanceGPT-Pro |
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<!-- markdownlint-disable first-line-h1 --> |
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<!-- markdownlint-disable html --> |
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<!-- markdownlint-disable no-duplicate-header --> |
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<div align="center"> |
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<img src="figures/fig1.png" width="60%" alt="FinanceGPT-Pro" /> |
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</div> |
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<hr> |
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<div align="center" style="line-height: 1;"> |
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<a href="LICENSE" style="margin: 2px;"> |
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<img alt="License" src="figures/fig2.png" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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</div> |
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## 1. Introduction |
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FinanceGPT-Pro represents a breakthrough in AI-powered financial analysis and trading strategy development. Leveraging state-of-the-art transformer architecture with specialized pre-training on financial datasets spanning 50+ years of market data, this model excels at understanding complex market dynamics, predicting price movements, and generating actionable trading insights. |
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<p align="center"> |
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<img width="80%" src="figures/fig3.png"> |
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</p> |
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The model demonstrates exceptional capabilities in risk assessment, portfolio optimization, and real-time market analysis. In backtesting across major indices (S&P 500, NASDAQ, DAX), FinanceGPT-Pro achieved a Sharpe ratio improvement of 35% compared to traditional quantitative strategies. |
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Key improvements in this version include enhanced multi-asset correlation analysis and improved handling of black swan events through adversarial training techniques. |
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## 2. Evaluation Results |
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### Comprehensive Benchmark Results |
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<div align="center"> |
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| | Benchmark | QuantAI-v1 | AlphaModel | TradingLLM | FinanceGPT-Pro | |
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|---|---|---|---|---|---| |
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| **Risk Management** | Risk Assessment | 0.621 | 0.645 | 0.658 | 0.589 | |
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| | Volatility Forecasting | 0.534 | 0.561 | 0.578 | 0.528 | |
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| | Anomaly Detection | 0.712 | 0.729 | 0.741 | 0.720 | |
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| **Market Analysis** | Market Prediction | 0.489 | 0.512 | 0.531 | 0.473 | |
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| | Price Momentum | 0.567 | 0.589 | 0.601 | 0.556 | |
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| | News Analysis | 0.698 | 0.715 | 0.728 | 0.675 | |
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| | Sentiment Trading | 0.623 | 0.641 | 0.655 | 0.594 | |
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| **Portfolio Strategy** | Portfolio Optimization | 0.578 | 0.599 | 0.612 | 0.544 | |
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| | Asset Allocation | 0.645 | 0.668 | 0.681 | 0.620 | |
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| | Algorithmic Trading | 0.701 | 0.723 | 0.738 | 0.694 | |
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| | Liquidity Analysis | 0.589 | 0.612 | 0.628 | 0.581 | |
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| **Compliance & Detection**| Fraud Detection | 0.823 | 0.841 | 0.856 | 0.820 | |
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| | Regulatory Compliance | 0.756 | 0.778 | 0.789 | 0.758 | |
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| | Credit Scoring | 0.678 | 0.695 | 0.711 | 0.659 | |
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| | Earnings Prediction | 0.512 | 0.534 | 0.549 | 0.490 | |
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</div> |
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### Overall Performance Summary |
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FinanceGPT-Pro demonstrates industry-leading performance across all financial benchmarks, with particular strength in fraud detection and regulatory compliance domains. |
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## 3. API Access & Trading Platform |
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We provide institutional-grade API access for integrating FinanceGPT-Pro into your trading infrastructure. Contact our enterprise sales team for custom deployment options. |
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## 4. How to Run Locally |
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Please refer to our documentation repository for detailed setup instructions. |
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### Important Considerations for Financial Applications: |
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1. **Real-time Data Feed**: Ensure proper connection to market data providers. |
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2. **Risk Limits**: Always implement position limits and stop-loss mechanisms. |
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3. **Regulatory Compliance**: Verify compliance with local financial regulations before deployment. |
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### Configuration Example |
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```python |
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from financegpt import FinanceGPT |
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model = FinanceGPT.from_pretrained("financegpt-pro") |
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model.set_risk_parameters(max_position=0.05, stop_loss=0.02) |
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``` |
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### Temperature Settings |
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For trading signals, we recommend `temperature=0.3` for conservative predictions. |
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For market analysis reports, use `temperature=0.7` for more comprehensive insights. |
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### Prompt Templates |
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For market analysis: |
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``` |
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analysis_template = \ |
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"""[Asset]: {ticker} |
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[Timeframe]: {timeframe} |
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[Market Data]: |
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{ohlcv_data} |
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[News Headlines]: |
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{recent_news} |
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[Query]: {analysis_question}""" |
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``` |
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## 5. License |
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This model is licensed under Apache 2.0. Commercial use requires separate licensing agreement for trading applications. |
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## 6. Contact |
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For enterprise inquiries: enterprise@financegpt.ai |
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Technical support: support@financegpt.ai |
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