Boutique Energy Trading Consultancy

We Build Power Trading Capability that Clients Trust and Investors Back

Ram Sky supports energy trading desks in designing, building and launching the trading and forecasting platforms, algorithms and route-to-market infrastructure for battery storage and flexible generation portfolios — from concept to live P&L.

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Experience built with

What We Do

Core Expertise

The full energy trading lifecycle, from back-office operations through to front-office execution.

BESS Trading & Optimisation

We build and run the trading capability sitting behind a BESS fleet: the in-house platform, the algorithms, the dispatch logic, and the performance reporting that tells you whether any of it is working.

  • In-house trading platform design and build
  • Day-ahead and intraday algorithmic execution
  • Balancing Mechanism automation
  • Intraday volume churn strategies
  • Ancillary services and wholesale cross-market optimisation
  • Degradation-aware dispatch and warranty-compliant cycling
  • Modo and peer benchmarking of optimiser performance

Route-to-Market & Trading Internalisation

Moving from third-party optimiser to in-house desk is rarely a single decision. We run the programme end-to-end: business case, target operating model, vendor stack, regulatory onboarding, and the first live trades.

  • Build vs buy analysis and phased cost model
  • Exchange registration (EPEX, Nord Pool) and ECC clearing
  • Elexon BSC accession and NESO onboarding
  • ETRM and trading platform vendor selection and RFP management
  • Target operating model and phased hiring plan
  • Back, middle, and front office process and data mapping

Demand & Price Forecasting, Quant & Analytics

Power and gas demand forecasting sit at the core of a profitable trading desk. We build the models your team actually runs: short and long-term demand, price, imbalance, and triad, with the data pipelines and validation wrapped around them.

  • Short-term and long-term power and gas demand forecasting
  • Imbalance and NIV forecasting, imbalance cost modelling
  • Price forecasting for power, gas, and carbon
  • Triad and peak-demand prediction
  • Perfect Foresight benchmarking for BESS and flexible assets
  • Algorithm backtesting and performance analytics
  • Automated data pipelines in Python and R, replacing manual steps

Trading Due Diligence & ETRM Advisory

For investors and acquirers looking at energy trading operators, and for ETRM vendors selling into them. We cover what the financial due diligence misses: how the desk actually trades, and whether the tech stack is fit for purpose.

  • Buy-side trading due diligence on energy trading operators
  • Trading capability and technology stack assessment
  • ETRM sales engineering, demos, and RFP/RFI responses
  • Product feedback and roadmap input for trading SaaS vendors
  • Market research and trading operating model diagnostics

Why Ram Sky

How We Are Different

The Problem with Traditional Consultancies

PowerPoint Only

Reports and recommendations without hands-on implementation

Slow & Heavy

Large teams, long timelines, expensive overhead

Generic & Broad

Advisory teams with little industry or trading floor experience

The Ram Sky Approach

Execution, not slideware

We can write the strategy deck, but it is not what we are for. We embed with your team as a practitioner who has done the work: writing code in Python or R, debugging the algo, sitting on calls with EPEX, Elexon, or BRPs through the registration process, doing the ETRM vendor scoring and overseeing actual system implementation, and being in the room at go-live when it matters most.

Small team, senior experience

A single senior practitioner works directly on the piece of work that matters, supported by modern tooling. The output looks like a big-consultancy engagement at a fraction of the price because the overhead that usually sits behind one is not there.

Specialised & Trader-First

Deep expertise in BESS optimisation, European power markets, short-term DA, Intraday, Balancing Mechanism, and Ancillary trading, and long-term curve trading of power, gas and carbon

How We Work

AI in Our Consulting Practice

We use AI tools heavily in day-to-day work. Plenty of what used to need a team of specialists we can now do ourselves, faster. Below are some of the clearer examples, though the list is not exhaustive and the toolkit changes depending on the project.

01

Live dashboards instead of flowcharts

Traditional flowcharts are easy to draw and hard to use. Once a platform design hits real complexity, a static Miro page becomes a wall of boxes nobody can trace. For an IPP planning its German BESS expansion, we replaced that pattern with an interactive dashboard built in Google AI Studio: a navigable view of ancillary service flows, data maps, and asset-to-trade dependencies. The CTO and Platform Manager got a reference they could explore in real time, and the design handed over to implementation without the usual translation layer.

02

Working prototypes instead of mockups

On the same engagement, the trading desk needed an alerting framework covering every signal from asset telemetry through to trade execution. The conventional approach would have been a Figma spec, a UI agency, and a written specification document reviewed over several weeks. Instead, we used ChatGPT to build a working prototype of the interface, hosted it on a VM, and gave the CTO a live link to share internally. Stakeholders interacted with the prototype directly rather than reading about it, and the feedback loop with traders closed in a single working session.

03

Slides, faster

A good deck compresses strategy, market context, and the numbers that underpin both into something a CEO or investment committee can act on. Claude in PowerPoint takes over the mechanical part of slide building, so more of the engagement goes into the insight and less into fighting the template.

04

Agents doing the research

Every morning before 8am, local Claude Code agents run through tender portals, regulatory consultations, and trade press, and drop a one-page summary of anything relevant into our inbox. Clients tracking NESO consultations, EU REMIT updates, or looking for new tender opportunities get the benefit of this without having to run the process themselves.

Tools we draw on

Claude Claude Code ChatGPT Perplexity Google AI Studio Lovable Nano Banana Kittl

AI speeds us up, but it does not trade and it does not decide. A practitioner who has done the work signs off on every deliverable before it leaves the desk or is presented to a client.

Who We Work With

BESS Asset Owners

BESS and renewable asset owners who need help with internalising route-to-market, capturing the margin lost to third-party optimisers, gaining dispatch transparency, and building trading capability that scales with the portfolio.

Independent Power Producers

IPPs integrating BESS or co-located flexibility into existing gas, wind, or solar portfolios. We cover the full trading transformation: target operating model, systems architecture, vendor selection, exchange and BSC onboarding, and delivery to live P&L.

ETRM & SaaS Vendors

Having worked both sides (as desk users of major ETRMs, and on the vendor side across implementation, sales engineering, demos, and RFP/RFI response), we help the product and GTM reflect how trading actually works.

Energy Suppliers

Supplier teams exposed to volatile imbalance and wholesale markets, where forecast errors compound into margin loss. We provide specialist demand and price forecasting, imbalance cost modelling, and trading analytics to stabilise P&L and sharpen hedging decisions.

Investors

Investors who need to assess a target's trading capability beyond the financials, without in-house trading expertise. We provide trading-focused due diligence, benchmarking trading performance, operational maturity, and technology stack against market peers.

What Clients Say

Testimonials

Track Record

Case Studies

Top-5 on the Modo Energy BESS leaderboard. #1 in Dec-23 and Jan-24, ahead of EDF, Tesla, and bp.

Challenge

The client needed a proprietary in-house Battery Trading Platform for one of GB's largest BESS portfolios, covering day-ahead, intraday, and Balancing Mechanism optimisation with trader-grade UI, algorithms, and reporting.

What We Did

Product-managed the design and development across front-end, back-end, and algorithm layers. Owned the short-term battery trading transformation roadmap: 40+ projects across five teams covering long-term hedging, day-ahead and intraday trading, Balancing Mechanism automation, triad forecasting, and performance reporting. Built the intraday volume churn and triad forecasting modules directly.

Result

The platform took the fleet from 8th to #1 on the Modo Energy BESS leaderboard in Dec-23 and Jan-24, ahead of EDF, Tesla, and bp. Two of three triads predicted correctly across two consecutive years. The portfolio now underpins a £20m+ annual revenue line with a team of four running on the platform.

End-to-end trading desk stood up. Strategic architecture signed off by the CEO as the basis for the go-live investment decision.

Challenge

The client operated one of the largest BESS portfolios in GB through a third-party optimiser and wanted to internalise trading. The route-to-market decisions would define margin capture and operational control for the next decade, so the business case, the systems architecture, and the programme sequencing all had to hold up to board-level scrutiny before the first trade was placed.

What We Did

Led the full internalisation programme end to end. Designed the systems architecture and business process map covering trading, optimisation, scheduling, settlement, and risk, and presented it to the CEO and senior leadership as the basis for the go or no-go investment decision. Built the full cost model and build-vs-buy analysis across the trading stack, produced a phased hiring plan, ran vendor selection across back, middle, and front office systems, onboarded ETRM and EDT/EDL trading infrastructure, and led EPEX and Nord Pool exchange registration, Elexon CVA Qualification, ECC clearing arrangements, and Balancing Mechanism participation onboarding.

Result

The client has a fully stood-up trading operation: external market access on one side, internal IT and trading software on the other, costed and sequenced so leadership can pace investment against portfolio growth. Traders could test algorithms against live market data on the new stack before a single MW was dispatched in-house, turning a multi-year decade-long commitment into a decision the CEO could actually sign off on.

Platform design handed to engineering with no translation layer. Dashboard served as the living reference through the build.

Challenge

The client was entering the German BESS market with 120MW live and a 1GW pipeline, and needed an in-house trading platform design the trading team could actually build from. Existing design artefacts, where they existed, were static Miro flowcharts that broke down as soon as the platform scope grew.

What We Did

Designed the UI/UX, data architecture, and business process map for the full trading platform. Built an interactive Google AI Studio dashboard mapping ancillary service flows, data maps, and asset-to-trade dependencies, navigable in real time. Produced a German BESS market composition and revenue-stacking research piece for the CTO and Platform Manager to size the opportunity. Mapped the trader-facing alerts framework end to end from asset telemetry through to trade execution.

Result

The full platform specification handed to engineering was complete enough that implementation could start without a translation layer. The dashboard became the team's working reference throughout the build phase rather than an artefact that gets filed after sign-off.

Mean Absolute Percentage Error roughly halved. Imbalance cost exposure reduced by an estimated 15% to 25%.

Challenge

The client needed stronger demand forecasting across short-term and long-term horizons. The existing long-term model took around six hours to run and required heavy manual tuning before the commercial team could trust the output. Forecast errors were compounding into material imbalance cost exposure.

What We Did

Built both the short-term and long-term power demand forecasting models. The long-term model was rewritten in R, plugged directly into the client's database, and delivered accurate five-year-ahead forecasts in under 30 minutes with built-in data cleansing that flags anomalies for the commercial team to investigate. The short-term model was first delivered in 2021, and rebuilt in 2026 with refreshed methodology. Replaced several manual data-processing steps with scheduled Python and R jobs.

Result

Mean Absolute Percentage Error was roughly halved on both short-term and long-term builds. Imbalance costs fell by around 20%. The long-term run time dropped from six hours to under 30 minutes. The forecasting platform now operates with minimal manual intervention, freeing the commercial team for higher-value work.

How we work

Built for clients who want capability delivered, not described

Most engagements share a similar shape: a defined scope, a named principal, a working artefact at the end. The questions below cover what to expect.

Engagements typically take one of four shapes:

  • Discovery sprints run 2 to 4 weeks and produce a roadmap, business case, or build-vs-buy view.
  • Project engagements run 8 to 16 weeks for a defined deliverable: a forecasting model rebuilt, an exchange registration completed, or a trading platform UI specified.
  • Programme engagements run 6 to 12 months for full trading internalisation or platform builds.
  • Retainers support clients on an ongoing basis, typically 1 to 2 days per week, where the relationship matters more than a specific scope.

Ram Sky is principal-led. For engagements that exceed what one principal can deliver, we bring in named senior associates from a trusted network of traders, quants, and engineers.

Clients always know who is on their engagement and meet every associate before mobilisation. We do not pyramid junior staff onto delivery; the people you are shown are the people who do the work.

The typical first step is a 30-minute scoping call. We use it to understand the problem, the decision the client is trying to make, and what success looks like.

Within 5 working days we send a one-page proposal: scope, deliverables, duration, commercials, and named team. Engagements start within 2 to 4 weeks of sign-off.

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We price by scope, not by headcount or hours. Fixed-fee where the scope is clear; day rate where it is not; outcome-linked where the value is measurable. We do not pad teams to grow fees, and we do not run discovery for its own sake. Engagement length and price scale with the problem, not with us.

We do not run open-ended advisory retainers without deliverables. We do not sell market research or data subscriptions. We do not translate a client brief into a slide deck without a delivery path. We do not take engagements where success requires a 30-person team. Those belong to the larger consultancies, and we will say so up front.

Ram Sky is based in London and works primarily across Great Britain and the European Union. We cover all major power and gas markets (GB, Germany, Nordics, Iberia) and have hands-on delivery experience in BESS and short-term power. We travel to clients where it helps; most discovery is delivered remotely.

Who We Are

About Ram Sky

Dmitrii Ishutin

Dmitrii Ishutin

Founder & Principal Consultant

A quant-turned-energy-trader-turned-consultant with over a decade across European power markets

Ram Sky exists to close the gap between strategic advisory and hands-on delivery in energy trading. As a power & carbon curve trader at EDF Energy, our founder delivered a £10m P&L; at Shell, he built the proprietary Battery Trading Platform underpinning a £20m annual revenue portfolio.

We engage on a project basis with clients worldwide. In the UK, we also operate under the Outside IR35 framework. Either way, you work directly with a practitioner who has traded the markets in question, without the overhead of a traditional consultancy.

The remit is simple: profitable, compliant trading capability, from idea to live P&L.

How We Work

Engagement Models

Talk to Us

Ready to build your trading capability?

Whether you are bringing BESS trading in-house, opening European market access, or pressure-testing an existing desk, start with a 30-minute discovery call.

Book a 30-minute scoping call → dmitrii.ishutin@ramsky.co.uk +44 7565 878864