Position, P&L & exposure
Cross-commodity position, mark-to-market P&L, and exposure in one integrated view — physical and financial, near real time — so front, middle, and back office reconcile to the same numbers instead of their own spreadsheets.
← Energy & Utilities
Energy & Utilities
01
Trading & Risk
Trading desks live or die by the numbers in front of them. We build the position, P&L, and exposure analytics that let risk teams see where they stand in real time — across power, gas, and environmental products — and trust the figure without reconciling it by hand first.
Service lines
What we work on here
Where trading & risk teams put us to work.
Draft Illustrative capability set — being reviewed with our content lead before launch.
Market & credit risk analytics
Standalone, incremental, and component market risk plus counterparty and credit exposure — PFE, FE, PoD — sliced by trader, desk, book, and commodity group, with what-if scenarios that tie mitigated P&L back to net margins and limit usage.
Fuel supply & procurement analytics
Forward fuel position and supplier benchmarking on cost, quality, and availability — so procurement can see where a fraction off the fuel bill compounds into real savings, and score existing suppliers against the wider market.
Trend analysis & market intelligence
Historic trends across price, volume, volatility, P&L, and margin, correlated to current forecasts — an authenticated fundamentals view the desk can trust when market or regulatory conditions shift.
See it in action
Interactive demos.
Live Power BI dashboards on synthetic data — click any to load it in place.
Interactive demo
Heat Rate Options Analytics
Spark-spread and heat-rate option valuation for generation assets — synthetic data.
Interactive demo
ISO Day-Ahead & Real-Time Energy & Congestion
Energy and congestion arbitrage across market levels and individual locations — synthetic data.
Interactive demo
Supplier Performance Analytics
Benchmark and score fuel suppliers on cost, quality, and reliability — synthetic data.
Interactive demo
Fuel Supply Chain Analytics
Forward fuel position across sourcing, logistics, and inventory — synthetic data.
Interactive demo
Refinery Supplier Performance
Seven years of supplier performance combining structured, semi-structured, and unstructured data — synthetic data.
Selected work
Interactive case studies in trading & risk.
Trading & Risk
A battery operator can see the nodal spread before it's obvious — and dispatch against it.
We built NodalAlpha — a battery-storage arbitrage engine that forecasts nodal basis spreads, ranks every ERCOT and CAISO node by forward opportunity, and schedules charge and discharge against a sized unit. Backtested on a full year of real ERCOT settlement prices, energy arbitrage only.
84–89% backtest hit rate · real ercot year Read →
Trading & Risk
A PJM power producer's desk can ask "what's our net position next month?" — and get a grounded answer, not a report ticket.
An independent power producer's traders, analysts, and compliance team each live in a different system. A conversational layer, built on MCP, lets them ask their systems questions in plain language and get answers grounded in live data — not a static export.
Ask, don't pull plain-language answer, not a report ticket Read →
Trading & Risk
A power trading business got a historic, attributable view of position and P&L — one version of the truth.
Market and credit risk, hedge effectiveness, and P&L attribution were scattered and hard to trust. We built an enterprise risk data warehouse — with VaR by Monte Carlo and full position and P&L attribution — as one consistent source across the organization.
1 version of truth market & credit risk Read →
Trading & Risk
A trading desk stopped reconciling every dashboard by hand and started trusting one governed source.
The desk had dashboards, but nobody trusted them — every number got re-checked against a private spreadsheet before anyone acted on it. We rebuilt the reporting on governed definitions and visible lineage that reconcile to the books, so the dashboard became the number people work from, not a second opinion.
1 governed source replaced shadow spreadsheets Read →
Trading & Risk
A wholesale energy business got a phased, fundable roadmap to one trusted source of trading information.
Front, mid, and back office were making decisions off disconnected sources. Leadership needed a roadmap to a single, quality-controlled view of trading information — not another point tool. We assessed the current state and sequenced the path, de-risked with a proof of concept.
Phased fundable implementation roadmap Read →
Trading & Risk
A power marketer automated the gross-margin and variance analysis it used to assemble by hand.
Forecast-variance and realized/unrealized P&L analysis was manual and slow. We built the data foundation and reporting to automate gross-margin analysis, cash-flow forecasting, and budget-to-actual variance analysis.
Automated budget-to-actual variance Read →