NexQuant/TEMP_RELEASE.txt

# GitHub Release v1.0.0 - Vorlage

## Release Title (Titel):
```
v1.0.0 - Initial Release: EURUSD Trading Agent
```

---

## Release Body (Markdown):

```markdown
## 🎉 Predix v1.0.0 - Initial Release

### 📊 What is Predix?

**Predix** is an autonomous AI-powered quantitative trading agent for EUR/USD forex markets. It automates the full research and development cycle for trading strategies:

- 📊 **Data Analysis** – Automatically analyzes market patterns and microstructure
- 💡 **Strategy Discovery** – Proposes novel trading factors and signals
- 🧠 **Model Evolution** – Iteratively improves predictive models
- 📈 **Backtesting** – Validates strategies on historical 1-minute data

---

### ✨ Key Features

#### Autonomous Factor Generation
- **110+ EURUSD factors** generated autonomously using LLMs
- Multi-agent debate system (Bull/Bear/Neutral analysts)
- Stanley Druckenmiller-style macro analysis
- Market regime detection using Hurst Exponent

#### Comprehensive Backtesting
- **Backtesting engine** with IC, Sharpe Ratio, Max Drawdown metrics
- SQLite database for tracking all backtest results
- Correlation analysis and portfolio optimization
- Risk management with position limits and leverage controls

#### Professional Testing
- **97 unit tests** with **98.77% code coverage**
- Edge case testing for all metrics
- Integration tests for full workflows

#### Dashboards & UI
- **Web Dashboard** (Flask + HTML) - Live trading progress
- **CLI Dashboard** (Rich library) - Terminal-based UI
- Real-time macro data (EURUSD, DXY, Volatility)
- Session-aware analysis (Asian/London/NY sessions)

#### Developer Experience
- All code comments in English
- Comprehensive documentation (QWEN.md, README.md)
- Clean git history with English commit messages
- Proper attribution guidelines (ATTRIBUTION.md)

---

### 🏗️ Technical Stack

- **Python 3.10/3.11** - Primary language
- **PyTorch** - Deep learning models
- **Qlib** - Backtesting engine
- **LLM (Qwen3.5-35B)** - Factor generation via local llama.cpp
- **Flask** - Web dashboard API
- **SQLite** - Results database
- **Rich/Typer** - CLI interface
- **pytest** - Testing framework (98.77% coverage)

---

### 📁 Project Structure

```
Predix/
├── rdagent/                    # Core agent framework
│   ├── components/
│   │   ├── backtesting/        # Backtest engine, metrics, database
│   │   └── coder/
│   │       └── factor_coder/   # Factor generation & EURUSD modules
│   └── scenarios/
│       └── qlib/               # Qlib integration for FX trading
├── test/                       # Unit tests (97 tests, 98.77% coverage)
├── web/                        # Dashboard frontend
├── results/                    # Backtest results (not in git)
├── docs/                       # Documentation
└── requirements.txt            # Dependencies
```

---

### 🚀 Quick Start

#### Installation

```bash
# Clone repository
git clone https://github.com/TPTBusiness/Predix.git
cd Predix

# Create conda environment
conda create -n predix python=3.10
conda activate predix

# Install in editable mode
pip install -e .[test,lint]
```

#### Configuration

```bash
# Create .env file
cat << EOF > .env
CHAT_MODEL=qwen3.5-35b
OPENAI_API_BASE=http://localhost:8081/v1
OPENAI_API_KEY=local
EMBEDDING_MODEL=nomic-embed-text
QLIB_DATA_DIR=~/.qlib/qlib_data/eurusd_1min_data
EOF

# Start LLM server (llama.cpp)
~/llama.cpp/build/bin/llama-server \
  --model ~/models/qwen3.5/Qwen3.5-35B-A3B-Q3_K_M.gguf \
  --n-gpu-layers 36 \
  --ctx-size 80000 \
  --port 8081
```

#### Run Trading Loop

```bash
# Start trading loop (24/7)
./start_loop.sh

# Or single run with dashboard
python predix.py fin_quant --with-dashboard
```

---

### 📊 Performance Metrics

| Metric | Target | Status |
|--------|--------|--------|
| **Test Coverage** | >80% | ✅ **98.77%** |
| **Tests Passed** | All | ✅ **97/97** |
| **Factors Generated** | 100+ | ✅ **110+** |
| **Code Quality** | Clean | ✅ **All English** |
| **Documentation** | Complete | ✅ **QWEN.md, README** |

---

### 📝 License & Attribution

**License:** MIT License

**Attribution Requirements:**

If you use this code or concepts in your project, you **must**:
1. Include the MIT License text
2. Keep the copyright notice: "Copyright (c) 2025 Predix Team"
3. Provide attribution to the original project

See [ATTRIBUTION.md](ATTRIBUTION.md) for detailed guidelines and examples.

**Legal Basis:** MIT License requires:
> "The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software."

---

### 🙏 Acknowledgments

This project draws inspiration from various open-source projects:

- **[Microsoft RD-Agent](https://github.com/microsoft/RD-Agent)** (MIT License) - Foundation for our autonomous R&D agent framework
- **[TradingAgents](https://github.com/TradingAgents/TradingAgents)** (Apache 2.0 License) - Inspiration for multi-agent debate system
- **[ai-hedge-fund](https://github.com/virattt/ai-hedge-fund)** - Inspiration for macro analysis and risk management concepts

**All code in Predix is originally written and implemented independently.**

---

### 📦 Installation Options

#### Full Installation (with dev dependencies)
```bash
pip install -e .[test,lint,docs]
```

#### Minimal Installation
```bash
pip install -e .
```

#### Docker (Coming Soon)
```bash
docker pull predixai/predix:latest
docker run -it predixai/predix
```

---

### 🧪 Testing

```bash
# Run all tests
pytest test/ -v

# Run with coverage
pytest test/ --cov=rdagent --cov-report=html

# Run specific test suite
pytest test/backtesting/ -v
```

---

### 📚 Documentation

- **README.md** - Installation and quick start
- **QWEN.md** - Comprehensive development guide
- **ATTRIBUTION.md** - Usage guidelines and attribution requirements
- **docs/** - Additional documentation

---

### 🔧 Development

```bash
# Linting
ruff check rdagent/

# Type checking
mypy rdagent/

# Format code
black rdagent/

# Run tests
pytest test/backtesting/ -v
```

---

### 📞 Support

- **Issues**: [GitHub Issues](https://github.com/TPTBusiness/Predix/issues)
- **Discussions**: [GitHub Discussions](https://github.com/TPTBusiness/Predix/discussions)

---

### ⚠️ Disclaimer

**This project is for educational and research purposes only.**

- Not intended for real trading or investment
- No investment advice or guarantees provided
- Creator assumes no liability for financial losses
- Consult a financial advisor for investment decisions
- Past performance does not indicate future results

By using this software, you agree to use it solely for learning purposes.

---

### 🎯 What's Next?

**Planned for v1.1.0:**
- [ ] Live paper-trading integration
- [ ] Additional factor types (ML-based)
- [ ] Performance optimization
- [ ] Docker containerization
- [ ] CI/CD pipeline

---

### 📈 Statistics

- **Lines of Code:** ~15,000+
- **Files:** 100+
- **Commits:** 20+
- **Contributors:** 1
- **Stars:** ⭐ (Be the first to star!)

---

**Full changelog:** [CHANGELOG.md](CHANGELOG.md)

---

<div align="center">

**If you like this project, please ⭐ star this repository!**

Made with ❤️ by Predix Team

</div>
```

---

## Tags (Schlagwörter für Release):
```
v1.0.0, initial-release, eurusd, trading, ai, machine-learning, quantitative-trading, forex, backtesting, llm, rd-agent, python
```

---

## Checkliste vor dem Veröffentlichen:

- [ ] Release Title kopiert
- [ ] Release Body (Markdown) kopiert
- [ ] Tags hinzugefügt
- [ ] "Set as latest release" angehakt
- [ ] Publish Release geklickt

---

## Optional: Assets hochladen

Falls du Screenshots oder Binaries hochladen willst:
- [ ] Screenshot vom Dashboard
- [ ] Screenshot von Test-Ergebnissen
- [ ] PDF mit Dokumentation
- [ ] Andere relevante Dateien