# 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=&start_date=&end_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 #### Web UI - **Dashboard Interface** - Web-based monitoring and control interface - Job management dashboard - View active, pending, and completed jobs - Start new simulations with form-based configuration - Monitor job progress in real-time - Cancel running jobs - Results visualization - Performance charts (P&L over time, cumulative returns) - Position history timeline - Model comparison views - Trade log explorer with filtering - Configuration management - Model configuration editor - Date range selection with calendar picker - Price data coverage visualization - Technical implementation - Modern frontend framework (React, Vue.js, or Svelte) - Real-time updates via WebSocket or SSE - Responsive design for mobile access - Chart library (Plotly.js, Chart.js, or Recharts) - Served alongside API (single container deployment) #### Development Infrastructure - **Migration to uv Package Manager** - Modern Python package management - Replace pip with uv for dependency management - Create pyproject.toml with project metadata and dependencies - Update Dockerfile to use uv for faster, more reliable builds - Update development documentation and workflows - Benefits: - 10-100x faster dependency resolution and installation - Better dependency locking and reproducibility - Unified tool for virtual environments and package management - Drop-in pip replacement with improved UX ## 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) --- Last updated: 2025-10-31