Battery & Flexibility Trading Desk Master Program

Power Markets, Storage & Real-Time Optimization

How senior traders run risk, P&L and systems on battery and flexibility desks. Built around real-time dispatch, asset survival and governance — not battery hype.

Curriculum — 110 Cumulative Chapters

Module 1 — Running a Battery & Flexibility Trading Desk (Chapters 1–10)
  1. What a Flexibility Desk Is Accountable For (P&L, Risk, Asset Health)
  2. Merchant vs Asset-Backed Battery Desks
  3. Trader vs Optimizer vs Engineer Responsibilities
  4. Desk Mandates, Capital Allocation & Risk Budgets
  5. When Not to Dispatch
  6. Spec vs Optimization Control Points
  7. How Flexibility Desks Actually Fail
  8. Authority, Overrides & Escalation Rights
  9. Senior View of Flex Desk P&L
  10. Lessons from Failed Flexibility Desks
Module 2 — Market Structure That Actually Matters (Chapters 11–26)
  1. Where Batteries Make Money (DAM, RT, AS, Capacity)
  2. ISO/RTO Differences for Storage (PJM, CAISO, ERCOT, EU)
  3. Ancillary Services Stack Reality
  4. Capacity Markets & Qualification Risk
  5. Negative Prices & Inversion Regimes
  6. Intraday & Sub-Hourly Trading Windows
  7. Congestion & Nodal Opportunity
  8. Market Rule Changes That Break Models
  9. Regulatory Risk for Storage
  10. Liquidity Illusions in Flex Markets
  11. Price Formation at the Margin
  12. Curtailment & Dispatch Risk
  13. Interconnection Constraints
  14. When Market Models Stop Working
  15. Political & Reliability Interventions
  16. Case Study: Market Design Failure for Storage
Module 3 — Senior Flex Trading Playbooks (Chapters 27–44)
  1. Revenue Stacking Without Killing the Asset
  2. DAM vs RT Optimization Trade-Offs
  3. AS vs Energy Arbitrage Decisions
  4. Congestion-Driven Dispatch
  5. Negative Price Capture Strategies
  6. Volatility Harvesting vs Asset Wear
  7. Event-Driven Trading (Heatwaves, Grid Stress)
  8. Intraday Re-Optimization Under Uncertainty
  9. Liquidity-Aware Dispatch
  10. Scaling Dispatch vs All-In Events
  11. Knowing When the Optimizer Is Wrong
  12. Risk-Off Playbooks
  13. Correlation Breakdown (Power–AS–Capacity)
  14. Trading Through System Failures
  15. Netting vs Masking Risk
  16. When Diversification Fails
  17. Senior Dispatch Reviews
  18. Case Study: Desk That Preserved Battery Life
Module 4 — Valuation, Models & Optimization Skepticism (Chapters 45–58)
  1. Battery Valuation — When NPV Lies
  2. Cycle Degradation Economics
  3. Forecast Error vs Realized P&L
  4. Opportunity Cost of Dispatch
  5. AS Clearing Uncertainty
  6. MTM as an Estimate, Not Truth
  7. P&L Attribution for Flex Desks
  8. Model Override Governance
  9. Analytics Bias & Confirmation Risk
  10. Stressing Optimizers, Not Markets
  11. Managing Quant & Optimization Teams
  12. Shadow Models & Manual Overrides
  13. When Algorithms Destroy P&L
  14. Case Study: Model-Driven Flex Loss
Module 5 — Risk, Credit & Asset Survival (Chapters 59–74)
  1. Risk as Capital & Asset Preservation
  2. State-of-Charge Risk
  3. Throughput & Degradation Risk
  4. Congestion Risk You Cannot Hedge
  5. Liquidity Risk in AS Markets
  6. Credit & Settlement Constraints
  7. VaR — What It Misses in Flex Trading
  8. Stress Testing Grid Failure Scenarios
  9. Kill Switches & Dispatch Freezes
  10. Who Pulls the Plug — And When
  11. Risk Escalation Playbooks
  12. Trading Under Regulatory Scrutiny
  13. Lessons from Battery Desk Blow-Ups
  14. Texas Heatwave — Flex Desk Decisions
  15. EU Scarcity Events — Storage Response
  16. Case Study: Asset Survival Playbook
Module 6 — Execution, Control Rooms & Operational Risk (Chapters 75–86)
  1. Trade Intent vs Control Room Reality
  2. Trader–Operator Conflict
  3. Telemetry, Latency & Dispatch Risk
  4. Forced Outages & Asset Lies
  5. Communication Failures Under Stress
  6. Intraday Adjustments Under Pressure
  7. Automation Failures
  8. Manual Overrides & Audit Risk
  9. Follow-the-Sun Flex Operations
  10. Cyber & Control-System Risk
  11. Compliance & Dispatch Logs
  12. Operational Risk Case Study
Module 7 — ETRM, EMS & Algorithmic Control (Chapters 87–98)
  1. ETRM vs EMS vs Optimizers — Who Owns Truth
  2. Deal Capture for Virtual & Physical Flex
  3. Position & Exposure Views That Matter
  4. Intraday Revaluation Reality
  5. Asset Constraint Modelling Gaps
  6. Algorithm Governance & Change Control
  7. Real-Time P&L — Myth vs Reality
  8. Shadow Systems & Excel
  9. Control vs Flexibility Trade-Off
  10. Governance Failures in Flex Systems
  11. What a Desk-Grade Flex Stack Looks Like
  12. When Technology Becomes the Risk
Module 8 — Regulation, Behavior & Accountability (Chapters 99–106)
  1. Market Power & Manipulation Risk
  2. Inside Information (Outages, Dispatch Signals)
  3. Storage-Specific Regulatory Exposure
  4. Personal Liability for Dispatch Decisions
  5. Behavioral Risk & Overconfidence
  6. Fatigue, Shift Trading & Errors
  7. Crisis Leadership in Control Rooms
  8. Case Study: Regulatory Fallout
Module 9 — Desk Leadership & Legacy (Chapters 107–110)
  1. Designing a Resilient Flexibility Desk
  2. Capital Allocation Across Assets
  3. Compensation & Asset-Life Incentives
  4. Lessons from Long-Lived Flex Desks

Why Senior Flex Traders Respect This Program

Self-Paced


Lifetime access • Video • PDF • Audio Podcast

Cohort-Based

Live Instructor-Led (ILT)

Enterprise

Private cohorts & customized content

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