diff --git a/ROADMAP.md b/ROADMAP.md
index f956012..8980126 100644
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -43,161 +43,6 @@ This document outlines planned features and improvements for the AI-Trader proje
   - `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.
@@ -214,9 +59,6 @@ To propose a new feature:
 - **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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