Energy Trading Software Engineering Bootcamp
12-week intensive for software engineers, data engineers, and technical professionals who want to specialise in energy trading technology. Build production-quality trading systems with Python. Weekly mentorship, maximum 5 per cohort.
See the programmeBuilt from front-office experience
The curriculum comes from building production trading systems, not from textbooks. Every module reflects real problems we've solved at real desks.
Taught by practitioners
Our team has built and operated trading platforms at Shell, Centrica, and Limejump. You get real-world insights, not academic theory.
Build Production-Grade Systems
You won't just write scripts. You'll architect, build, and deploy a complete, portfolio-ready energy trading application using modern Python, AWS, and CI/CD pipelines.
Practical skills, quickly
Focused curriculum that delivers working skills in weeks, not years. You leave with the knowledge to contribute from day one on a trading desk or platform team.
The programme
12 weeks. Physical reality first, then economics, then markets, then systems. The opposite of most training.
Energy Trading Software Engineering Bootcamp
Project-driven programme for software engineers, data engineers, and quant developers. You work through the complete domain, from the physics of power generation through to building production-quality trading systems. By the end, you have a portfolio of GitHub projects that demonstrate both the technical skills and the domain knowledge that energy trading firms look for.
£1,600 deposit. Balance of £8,000 due by Week 4.
- Complete guide library (310+ pages, 13 guides)
- Python SE track + 2 guided project builds
- Weekly 1-on-1 mentorship for 12 weeks
- Code reviews on all projects via GitHub PRs
- Career guidance: CV review, interview prep
- Lifetime community access
Month 1
Energy Market Fundamentals
How power and gas markets work, why prices behave the way they do, and how cross-commodity economics drive trading decisions. Merit order dispatch, spark spreads, carbon costs, shape risk.
Project: Price Curve Simulator. 7-phase build from random noise to mean-reverting OU processes with merit order dispatch.
Month 2
Trading Systems and P&L
Position management, mark-to-market P&L, delta exposure, risk reporting. Then market microstructure, forward curve construction, and Value at Risk.
Projects: Position & P&L Engine (7-phase build with hexagonal architecture). Forward Curve Builder integrated with your P&L engine.
Month 3
Advanced Topics and Capstone
Day-ahead and intraday power markets (EPEX, N2EX, M7), energy derivatives (swaps, options, Black 76, Greeks). Capstone integrates everything into a working mini-ETRM with risk dashboard.
Project: Auction clearing algorithm, options pricer, and integrated trading platform with Streamlit dashboard, Docker, and CI/CD.
Bruno Crosbie, Energy Trading Professional"Your new Energy Derivatives guide is very very good. I think it is the single most relevant guide for anyone looking to hold a conversation with an interviewer or professional in the energy industry."
Free video course on YouTube
The Energy Trading Fundamentals video series covers everything from the physics of the grid through to trading, risk management, and P&L. Animated explainers built from the same 300+ page guide library used in the bootcamp.
Watch the playlist →Prefer to start at your own pace?
The full written guide library, community access, and mentorship are available through our Skool community. $1,740 one-time, credits toward the bootcamp if you upgrade.
Explore the CourseReady to specialise in energy trading technology?
Book a 30-minute call to discuss your background, goals, and fit. No preparation needed.
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