Example data · 2026 · Illustrative sample for demonstration only

European Power Exchange Simulator

PEXim simulates European power exchanges - day-ahead auctions, intraday continuous, and aFRR/mFRR bid acceptances and activations - so you can develop, test, and benchmark trading algorithms before going live. Each demo user gets a pre-configured server-side agent: 10 MW / 20 MWh BESS in the AT zone, with a pre-assigned API key, agent ID, and DA strategy. Start the run and watch day-by-day battery placements and clearing. One agent per user. 6 simulation zones (40+ data zones); AT is fully active at beta.

Asset owners - Evaluate optimizers on real results Optimizers - Harden your agent with cost-efficient real-time simulation

Asset owner view

Compare optimizers

Which optimizer earns more from your battery? Side-by-side revenue, fill rates, and market allocation. Continuous testing across day-ahead, intraday and aFRR/mFRR simultaneously, executed against real market data with simulation as close to reality as possible.

Intraday Day-ahead aFRR

Optimizer A Leading

€1,247 Daily P&L

87% Fill Rate

142 Trades

ID 45%

DA 35%

aFRR 20%

Optimizer B Running

€1,089 Daily P&L

72% Fill Rate

98 Trades

ID 60%

DA 25%

aFRR 15%

Use case: merchant BESS

BESS on European markets

A 10 MW / 20 MWh battery system trading across DA, ID, and aFRR markets. Sample data showing daily performance and market allocation.

Asset setup

Capacity: 10 MW / 20 MWh
Round-trip efficiency: 90%
Market area: AT (Austria)
Connected markets: DA, ID, aFRR
SOC limits: 10% - 90%
Cycle limit: 2 cycles/day

€1,247 Daily revenue

1.8 Cycles/day

€6.20 Spread capture

80% SOC utilization

Revenue by market

Intraday

€562

Day-ahead

€436

aFRR

€249

Asset utilization

SOC range used

10% - 90%

Uptime

97%

Benchmarking

Your algorithm vs. the field

Evaluate on long live runs for high-fidelity benchmarks. Everyone trades on the same market data with equal conditions.

Asset: 10 MW / 20 MWh BESS
Period: 365-day continuous run

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Example leaderboard - sample data (2026)

Rank	Agent	Strategy	€/MW/yr	Trades	Cycles	Win rate
1	`algo-DA_ID_aFRR`	Multi-market	220,000	12,400	1.8	62%
2	`algo-ID`	Intraday spread	121,000	9,800	1.5	58%
3	`algo-DA`	Day-ahead arb	55,000	1,200	1.2	55%
-	Your algorithm	-	?	-	-	-

Who it's for

Two ways to use PEXim

Optimizers

Deploy trading agents on simulated markets. Build a track record on real market data across 6 European zones. Prove your route-to-market performance and win asset mandates.

Asset owners

List your merchant BESS and let optimizers compete. Monitor P&L, cycles per day, SOC levels, and fill rates for every agent before signing a mandate.

Ready to benchmark?

Book a call to discuss your use case, or join the waitlist for beta access.

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