European power markets

Multimarket evaluation for optimizers & asset owners

Benchmark a real trading strategy across day-ahead, intraday, aFRR, and mFRR at once, under live execution with zero look-ahead, before you risk capital or award a mandate. FCR planned Q4 2026 for selected areas.

6Simulation zones

4+1Market products (FCR planned)

1Unified API

Continuous

Intraday Continuous

Price-time priority matching on a live order book. Mirrors EPEX SPOT Intraday with sub-second fills.

24/7 trading 15-minute intervals and continuous - React to forecast changes and deviations from day-ahead placements on the intraday. Impact on BESS SOC - Tracks SOC so you can estimate imbalance costs or constraint violations. React to balancing activations by placing intraday orders as the simulation proceeds.

Auction

Day-Ahead Auction

Sealed-bid supply and demand curves. Uniform-price clearing with exchange-accurate gate closure rules.

Hourly, 15-min, block products Real daily bidding schedule - Accepts bids until D-1 12:00 CET. Executes as soon as real results are published. Integrated testing - Trade day-ahead alongside all other markets with the same API.

Balancing

aFRR / mFRR | FCR planned Q4 2026

Merit-order-based activation simulation. Bid into the capacity and energy queues and get called by the TSO. mFRR in beta for Baltics (EE, LT, LV) from August 2026.

Real schedule - Accepts capacity and energy bids on the real market schedule. Execution on published data - As soon as the marginal price is published, the agent's bids are accepted or rejected. Activations follow real market data. SOC tracking - Tracks activation impact on SOC to estimate imbalance costs or constraint violations.

Book a call Try the demo

Start with a pre-configured demo agent: 10 MW / 20 MWh BESS in AT, DA strategy ready. Just start the run.

Validated against exchange data from

EPEX SPOT Nord Pool ENTSO-E

Beyond single-market backtests

A day-ahead-only backtest sees under half the picture

Real merchant BESS revenue is stacked across day-ahead, intraday, and balancing markets. The constraints between those layers - SOC, capacity envelopes, gate closures - decide whether a strategy actually holds. Single-market or static estimates miss both the revenue and the interactions. PEXim runs the whole stack live, on one engine, with the cross-market limits enforced.

Multimarket by design

DA, intraday, aFRR, and mFRR in one engine, with constraints propagated across layers. FCR planned Q4 2026 for selected areas. See the full revenue stack, not a day-ahead slice.

Zero-risk evaluation

Paper-trade without capital exposure. Backtest against history or run forward in real time. Deploy only when results hold. A result you can trust before you commit.

Zero look-ahead

Decisions use only information available at decision time. No peeking at future prices, activations, or clearing outcomes. A result you can actually trust.

High market fidelity

Settlement on real clearing prices, merit orders, and activations. Matching rules and gate closures reproduce exchange mechanisms, not synthetic random fills.

The capture gap

The revenue your battery could earn vs. what it actually earns

€300k

/MW/year achievable

Best-in-class multimarket

€250k

/MW/year earned

Typical optimizer

€50k

/MW/year capture gap

€5M/year on 100 MW

PEXim helps identify which optimizer minimises this gap.

Execution environments

Isolated sandboxes or shared orderbooks

Run agents alone for clean benchmarks, or together on a shared orderbook to test how they compete, react, and exploit each other's strategies.

See how it works →

Use cases

Built for optimizers, asset owners, and research

The only sandbox where optimizers trade across markets, asset owners evaluate them, and researchers advance the state of the art - through one platform, with shared infrastructure and open collaboration.

Optimizers

Harden your agent before it touches a live asset. Your agent runs in a private replica of real European markets, with the same data, products, and gate closures as production. Iterate, fail cheaply, and confirm the strategy holds before any capital is at risk. Prove your route-to-market performance and win mandates on transparent results.

Asset owners

Compare optimizers on measured results before you commit. Every agent runs on the same market data and the same rules, so the results mean something. See how optimizers perform on your kind of asset: fill rate, VWAP deviation, and realised P&L, before you sign a mandate.

Academic research

We share knowledge openly and support researchers and non-profits working to improve optimization models and build open tools for everyone. Special academic rates, knowledge sharing, and consulting available for research institutions.

Get in touch

Coverage

European delivery zones

6 European zones with full simulation support (40+ data zones). AT is fully active at beta, with more zones rolling out through 2026.

🇫🇷

France

🇩🇪

Germany / Luxembourg

DE-LU

🇦🇹

Austria

🇪🇪

Estonia

🇱🇹

Lithuania

🇱🇻

Latvia

View all 6 simulation zones and data coverage →

Getting started

Try it with a pre-configured demo agent

Each user gets a pre-configured server-side demo agent: a 10 MW / 20 MWh BESS in the AT zone with a pre-assigned API key, agent ID, and day-ahead strategy. Start the run and watch the agent place bids day by day, see how the market clears, and how P&L accumulates across delivery periods. One demo agent per user.

Demo agent

A pre-configured server-side agent trading a 10 MW / 20 MWh BESS in the AT zone. Pre-assigned API key, agent ID, and DA strategy. Start the run and watch day-by-day battery placements and market clearing. One agent per user.

Then bring your own

Once you understand the flow, connect your own agent via REST or gRPC. Same markets, same API, same rules. The demo agent stays available as a baseline to compare against.

Compare and improve

Run multiple versions of your algorithm side by side. Compare your results against published leaderboard entries from other participants. Learn what works, identify where you lose efficiency, and pick the best version before going live.

Our spirit

A neutral place where agents get tested properly

European power markets are increasingly run by automated agents. PEXim is the shared infrastructure to test them properly: the same data, the same rules, and run conditions you can compare. Optimizers harden agents in private, asset owners evaluate them on measured results. Competition happens on the leaderboard, by opt-in, not by surprise on a live asset.

Private by default. Your strategy stays yours until you choose to share it.
Shared environments only by opt-in, so you decide when and against whom you compete.
Every agent runs on the same data and the same rules, so results are comparable.

Roadmap

What's coming next

A phased rollout from closed beta to full European multimarket coverage.

August 2026

Beta testing

Real agents trading on FR, DE-LU, AT, and Baltic markets. mFRR included in beta for Baltics (EE, LT, LV). First access for early partners and a structured feedback period.

FR DE-LU AT EE LT LV
September 2026

Go-live

Continuous matching and execution simulation with always-on agents on selected markets.
Q3 2026

Day-ahead backtests

Day-ahead backtests for optimizers, letting you replay historical markets and validate strategies against real clearing outcomes.

DA Backtest
Q4 2026

FCR + European rollout

FCR simulation launches for selected areas. Gradual expansion to additional European trading zones.

DA ID FCR (new) aFRR mFRR
Q1 2027

Full multimarket backtests

Backtest across all markets simultaneously - day-ahead, intraday, and balancing - with cross-market constraints enforced. Replay months of history in minutes.
Q2 2027

Co-located portfolio backtests

Backtest strategies for co-located assets (PV+BESS, wind+BESS). Validate how your optimizer handles generation forecasts, storage constraints, and multi-market dispatch as one portfolio.

Early users benefit from free access to new features as they launch.

Early access

Join the waitlist

Get notified when beta opens. Send us a short note: company, use case, and markets you care about.

Email info@marbl.energy