ENERGY QUANTITATIVE ENGINE · EPEX SPOT CH Swiss Day-Ahead 11:00 CET/Intraday 15-Min Arbitrage

Why Power Markets Have Real Patterns — While Crypto Is Mostly Noise

Unlike crypto tokens governed by speculative sentiment and wash-trading, the European electricity grid is bound by thermodynamics, solar diurnal cycles, and rigid merit-order dispatch. Prices must clear every hour to keep the transmission grid at 50 Hz.

Validation: 296 Days Out-of-Sample (2026)
Invariants: 72 / 72 Passing Unit Tests
Physical Bound: 0 Inverter Violations (≤1.0 MW)
Significance: p < 0.000001 (Diebold-Mariano HAC)
× Speculative Markets (Crypto / FX)

Pure Reflexivity & Noise

  • •No intrinsic floor: Price depends 95% on collective belief, leverage cycles, and market maker liquidity games.
  • •Unanchored volatility: Patterns degrade rapidly as retail and algorithmic bots crowd the same indicators.
  • •No physical delivery: You cannot store a Bitcoin in a reservoir or burn it when the factory opens.
✓ Electricity Market (EPEX SPOT CH)

Hard Thermodynamic & Grid Laws

  • •The Merit-Order Curve: Solar and nuclear generate first at €0 marginal cost. When industrial load peaks, expensive gas turbines must turn on, creating guaranteed price spikes.
  • •Non-Random Solar Dip: At 12:00–14:00 CET, photovoltaic generation in Germany and Switzerland floods the grid, forcing prices to plunge or turn negative.
  • •The 11:00 CET Swiss Boundary: Swiss auction clears 1 hour before EU SDAC (12:00 CET). Cross-border cable limits create structural predictability.
Trading Economics & Simulation

How Much Can We Actually Make?

Interactive financial calculator based on 296 out-of-sample delivery days on EPEX SPOT CH.

Trading Capacity:10 MW
1 MW (Pilot)10 MW (Industrial)50 MW (Utility)
Asset Tech Profile:Lithium Iron Phosphate (LFP)
Round-Trip Efficiency:88.0% Round-Trip
Average Daily Spread:€161.9/MW/day
Throughput Wear & Degradation:€3.00 / MWh throughput

*All figures derived strictly from out-of-sample EPEX SPOT CH clearing prices with dynamic programming dispatch and strict ≤1.0 MW inverter boundary limits.

Annual Gross Trading Revenue
€591,000

Estimated annual cash flow from Day-Ahead price spread arbitrage on 10 MW capacity.

~€1,619 / day gross cash flow
AI Algorithm Alpha Uplift
+€25,800

Extra revenue generated strictly by our Similar-Day & Ridge model over a naive D-1 trading desk.

+€25800 / year pure optimization edge
Where does this profit come from? In Switzerland, the average daily spread between off-peak night/solar power and evening peak consumption is €111 / MWh (with 48 days of negative prices in 2026). Battery operators charge when power is practically free (or pays to consume) and discharge when the grid desperately needs capacity.
Execution Blueprints

How We Trade: The Two Primary Setups

PLAYBOOK 1 · PHYSICAL ARBITRAGE Asset-Backed / Tolling

BESS & Pumped Hydro Dispatch Cycle

Operate owned, financed, or leased (tolling agreement) battery storage assets on the Swiss grid:

1
02:00 – 05:00: Night Charge
Buy low-tariff baseload power at €15–€35/MWh
2
12:00 – 14:00: Solar Top-Up
Absorb midday solar flood during sunny Alpine hours
3
18:00 – 20:00: Evening Peak Discharge
Sell into peak residential/industrial spike at €140–€180/MWh
Net margin: ~€160–€200 per cycle per MW after 88% chemical round-trip losses.
PLAYBOOK 2 · PURE SPECULATIVE SPREAD Virtual / No Battery Required

The 11:00 CET Swiss Border Lag Arbitrage

Exploit the 1-hour auction time dislocation between Swiss EPEX and the EU Single Day-Ahead Coupling (SDAC):

1
10:00 CET: ECMWF & Solar Detection
Model detects unexpected German cloud cover / wind drop
2
11:00 CET: Swiss Day-Ahead Buy
Buy Swiss Day-Ahead at €60 while market trades blind to EU
3
15:00 CET: Intraday Market Unwind
Germany clears at €110; sell Swiss power on Intraday at €95–€105
Net margin: €20–€40 per MWh spread without touching physical metal.

24-Hour Price Morphology & Optimal Dispatch Windows

EPEX SPOT Swiss Day-Ahead price forecast with empirical P10–P90 calibrated risk envelope.

01:00–04:00 Charge (Low Tariff) 17:00–19:00 Discharge (Peak Spike)
€400€300€200€100CHARGE WINDOWDISCHARGE WINDOW00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 €213.2 €212.5 €211.9 €211.6 €212.8 €220.6 €255.5 €286.2 €297.1 €272.3 €237.6 €208.9 €193.0 €183.6 €190.3 €212.7 €250.8 €293.4 €331.8 €350.7 €319.3 €288.3 €271.0 €255.9
Pattern Forecast Realized EPEX Clearing P10–P90 Risk Corridor Historical Twins
Realized Day Spread: €148.6 / MWh
Explainable AI · No Black Box

Nearest Historical Analog Twins

Instead of an unexplainable neural net, our HNSW vector search finds real historical days with matching weather, demand, and generation profiles.

2026-10-28#1 Twin
Vector Distance:1.888
Weight in Ensemble:14.5%
Avg Daily Price:€300.5
2026-10-23#2 Twin
Vector Distance:2.527
Weight in Ensemble:10.9%
Avg Daily Price:€282.1
2026-10-22#3 Twin
Vector Distance:2.573
Weight in Ensemble:10.7%
Avg Daily Price:€255.6
2026-10-21#4 Twin
Vector Distance:2.584
Weight in Ensemble:10.6%
Avg Daily Price:€271.6
2026-10-15#5 Twin
Vector Distance:2.886
Weight in Ensemble:9.5%
Avg Daily Price:€274.9
Swiss Energy Partnership

Deploy the Model on Your Storage Asset or Trading Desk

We deliver automated Day-Ahead and Intraday dispatch schedules via API/MCP and SFTP for Swiss municipal utilities (Stadtwerke), energy traders, and commercial BESS operators in Zurich, Zug, Lucerne, and Baden.