AI-Trader/ROADMAP.md

# AI-Trader Roadmap

This document outlines planned features and improvements for the AI-Trader project.

## Release Planning

### v0.4.0 - Enhanced Simulation Management (Planned)

**Focus:** Improved simulation control, resume capabilities, and performance analysis

#### Simulation Resume & Continuation
- **Resume from Last Completed Date** - API to continue simulations without re-running completed dates
  - `POST /simulate/resume` - Resume last incomplete job or start from last completed date
  - `POST /simulate/continue` - Extend existing simulation with new date range
  - Query parameters to specify which model(s) to continue
  - Automatic detection of last completed date per model
  - Validation to prevent overlapping simulations
  - Support for extending date ranges forward in time
  - Use cases:
    - Daily simulation updates (add today's date to existing run)
    - Recovering from failed jobs (resume from interruption point)
    - Incremental backtesting (extend historical analysis)

#### Position History & Analysis
- **Position History Tracking** - Track position changes over time
  - Query endpoint: `GET /positions/history?model=<name>&start_date=<date>&end_date=<date>`
  - Timeline view of all trades and position changes
  - Calculate holding periods and turnover rates
  - Support for position snapshots at specific dates

#### Performance Metrics
- **Advanced Performance Analytics** - Calculate standard trading metrics
  - Sharpe ratio, Sortino ratio, maximum drawdown
  - Win rate, average win/loss, profit factor
  - Volatility and beta calculations
  - Risk-adjusted returns
  - Comparison across models

#### Data Management
- **Price Data Management API** - Endpoints for price data operations
  - `GET /data/coverage` - Check date ranges available per symbol
  - `POST /data/download` - Trigger manual price data downloads
  - `GET /data/status` - Check download progress and rate limits
  - `DELETE /data/range` - Remove price data for specific date ranges

### v0.5.0 - Real-Time Trading Support (Planned)

**Focus:** Live market data integration and real-time decision making

#### Real-Time Market Data
- **Live Price Feeds** - Integration with real-time market data providers
  - WebSocket connections for streaming prices
  - Support for multiple data providers (Alpha Vantage, IEX Cloud, Polygon.io)
  - Fallback mechanisms for data provider failures
  - Rate limiting and connection management

#### Live Trading Mode
- **Real-Time Simulation** - Run AI agents with live market data
  - Separate mode from historical backtesting
  - Configurable update intervals (1min, 5min, 15min, 1hour)
  - Paper trading support (simulated execution)
  - Real broker integration (planned for later)

#### Scheduling & Automation
- **Scheduled Simulations** - Cron-like scheduling for automated runs
  - Daily market close simulations
  - Intraday update schedules
  - Configurable time zones and trading hours
  - Integration with external schedulers (Airflow, Prefect, n8n)

### v0.6.0 - Multi-Strategy & Portfolio Management (Planned)

**Focus:** Strategy composition and portfolio-level optimization

#### Strategy Composition
- **Multi-Strategy Models** - Support for combining multiple AI strategies
  - Portfolio allocation across different AI models
  - Risk parity and factor-based allocation
  - Dynamic rebalancing based on performance
  - Strategy correlation analysis

#### Risk Management
- **Advanced Risk Controls** - Position limits and risk constraints
  - Maximum position size per symbol
  - Sector exposure limits
  - Portfolio-level stop losses
  - Volatility-based position sizing

#### Model Ensembles
- **Ensemble Methods** - Combine predictions from multiple models
  - Voting mechanisms (majority, weighted, rank-based)
  - Confidence-weighted predictions
  - Model performance tracking for weight adjustment

### v0.7.0 - Alternative Data & Advanced Features (Planned)

**Focus:** Enhanced data sources and sophisticated analysis

#### Alternative Data Sources
- **News & Sentiment Analysis** - Integrate news and social media data
  - News API integration (NewsAPI, Benzinga, Bloomberg)
  - Sentiment scoring for individual stocks
  - Event detection (earnings, M&A, regulatory)
  - Social media sentiment (Reddit, Twitter/X)

#### Market Regime Detection
- **Adaptive Strategies** - Detect market conditions and adapt
  - Bull/bear/sideways market classification
  - Volatility regime detection
  - Sector rotation analysis
  - Economic indicator integration (GDP, unemployment, inflation)

#### Custom Indicators
- **User-Defined Indicators** - Plugin system for custom technical indicators
  - Python API for indicator development
  - Automatic caching and calculation
  - Vectorized computation support
  - Backtesting with custom indicators

## Future Enhancements

### Infrastructure & DevOps
- **Kubernetes Deployment** - Production-ready orchestration
  - Helm charts for easy deployment
  - Horizontal scaling for parallel simulations
  - Service mesh integration (Istio, Linkerd)
  - Observability stack (Prometheus, Grafana, Jaeger)

- **Cloud Provider Support** - Managed deployments
  - AWS (ECS, EKS, Lambda)
  - Google Cloud (Cloud Run, GKE)
  - Azure (AKS, Container Instances)
  - Terraform modules for infrastructure as code

### Data & Storage
- **Alternative Databases** - Support for different storage backends
  - PostgreSQL for production workloads
  - TimescaleDB for time-series optimization
  - Redis for caching and real-time data
  - Object storage (S3, GCS, Azure Blob) for large datasets

- **Data Pipeline** - Robust data ingestion and processing
  - Apache Airflow for workflow orchestration
  - Delta Lake for data versioning
  - Data quality checks and validation
  - Automated data backups and recovery

### Web UI & Visualization
- **Dashboard Interface** - Web-based monitoring and control
  - React/Vue.js frontend
  - Real-time charts and graphs (Plotly, D3.js)
  - Job management and configuration
  - Performance comparison visualizations
  - Portfolio allocation charts

- **Jupyter Integration** - Notebook-based analysis
  - Pre-built analysis notebooks
  - Interactive strategy development
  - Backtest result exploration
  - Custom metric calculation

### AI & ML Enhancements
- **Model Training & Evaluation** - Train custom AI models
  - Training data preparation from historical results
  - Hyperparameter optimization (Optuna, Ray Tune)
  - Cross-validation and backtesting
  - Model versioning and registry (MLflow)

- **Reinforcement Learning** - RL-based trading agents
  - Gym/Gymnasium environment for trading
  - PPO, SAC, TD3 agent implementations
  - Reward shaping and curriculum learning
  - Multi-agent competitive scenarios

### Integration & Extensibility
- **Webhook Support** - Event-driven notifications
  - Job completion notifications
  - Trade execution alerts
  - Error and failure notifications
  - Custom webhook endpoints

- **Plugin System** - Extensible architecture
  - Custom data sources
  - Alternative AI models (local LLMs, custom APIs)
  - Trading signal generators
  - Risk management rules

### Testing & Quality
- **Performance Testing** - Load and stress testing
  - Locust/JMeter test scenarios
  - Database performance benchmarks
  - API latency measurements
  - Scalability testing

- **Chaos Engineering** - Resilience testing
  - Network failure simulations
  - Database connection failures
  - API provider outages
  - Recovery time measurements

## Contributing

We welcome contributions to any of these planned features! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

To propose a new feature:
1. Open an issue with the `feature-request` label
2. Describe the use case and expected behavior
3. Discuss implementation approach with maintainers
4. Submit a PR with tests and documentation

## Version History

- **v0.1.0** - Initial release with batch execution
- **v0.2.0** - Docker deployment support
- **v0.3.0** - REST API, on-demand downloads, database storage (current)
- **v0.4.0** - Enhanced simulation management (planned)
- **v0.5.0** - Real-time trading support (planned)
- **v0.6.0** - Multi-strategy & portfolio management (planned)
- **v0.7.0** - Alternative data & advanced features (planned)

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Last updated: 2025-10-31