Trading — Day-Ahead & Real-Time Markets
The Challenge
Energy traders must make split-second decisions in volatile markets with complex pricing structures, regulatory requirements, and risk constraints.
Root Cause Analysis
- Information latency: Traders lack real-time market signals and portfolio visibility
- Manual processes: Spreadsheet-based trading strategies can't keep pace with market speed
- Risk blind spots: Inadequate position monitoring exposes the firm to unexpected losses
- Regulatory complexity: ISO/RTO market rules require precise compliance
How We Solve This with Cloud Technologies
Real-Time Trading Analytics Platform
- Market data streaming: Apache Kafka for low-latency price and settlement feeds
- Algorithmic strategy execution: Cloud-based models for optimal bidding strategies
- Position management: Real-time portfolio and P&L dashboards
- Risk analytics: VaR, stress testing, and scenario analysis on-demand
Implementation Approach
- Data integration: Connect to ISO/RTO APIs (PJM, ERCOT, CAISO, SPP) for market data
- Historical analysis: 10+ years of LMP, generation, and weather data in a lakehouse
- ML models: Price forecasting, congestion prediction, renewable curtailment analysis
- Compliance: Automated FERC reporting and audit trails
Business Impact
- $2-5M annual revenue uplift from optimized bidding strategies
- Real-time risk visibility prevents costly exposure
- Automated compliance reduces regulatory risk