Strategy Selection
Different market conditions and economical events require different bidding and trading strategies.
Turn market forecasts intobetter trading decisions
Decision support for bid scheduling, portfolio optimization, and cross-market participation in Europe.
Knowing the market is only half the decision
Accurate forecasts create opportunities, but realizing their value requires choosing the right strategy, the right assets, and the right market at the right time.
Portfolio Complexity
Managing multiple batteries, renewable assets, or portfolios across several markets quickly becomes too complex for manual optimization.
Cross-Market Opportunities
The most profitable opportunities often exist across multiple market sessions, requiring continuous evaluation and optimization.
Execution Pressure
Trading teams must make confident decisions within limited time while balancing risk against profitability.
Two models built to improve energy trading
Turning forecasts into actions across day-ahead, intraday, and balancing markets
- Day-ahead and intraday bid schedules with volumes and prices
- Risk-adjusted outputs based on portfolio risk tolerance
- Continuous intraday updates as market conditions change
- Buy, sell, and hold signals based on the current forecast and position
- Balancing participation based on expected FCR and aFRR conditions
Want to see trading intelligence in action?
Designed for every energy market participant
Trading Intelligence helps organizations transform market forecasts into optimized trading, dispatch, and portfolio decisions tailored to their operational objectives.
Energy Trading Companies
Optimize participation across day-ahead, intraday, and balancing markets with accurate price forecasting and trading intelligence.
Individual Power Producers
Forecast market prices and optimize generation strategies to maximize revenue from power assets.
Battery Storage Operators
Maximize battery revenue with forecast-driven charging, discharging, and market participation.
Virtual Power Plant Platforms
Coordinate energy resources with market forecasts to maximize flexibility and trading performance.
Turning market data into trading advantage
Data Layer
- Real-time market
- Grid signals
- Weather forecast
- Renewable generation
- Commodity prices
- Asset telemetry
- Historical trading
Market Layer
- Day-ahead prices
- Intraday auction prices
- Continuous intraday prices
- Anomaly detection
- Balancing markets
- Probabilistic forecast
Trading Layer
- Trading signals
- Cross-market opportunities
- Bid scheduling
- Multi-asset optimization
- Battery dispatching
Estimate the value of more accurate price forecasting for your portfolio
Solar Farm50 MW
Battery Park0 MW
Model Selection
Balancing forecasting needs a battery park above 0 MW
Cross-border Trading
€231,231/ month
Annual opportunity: €2,774,772
- Location: Arañuelo, Spain
- Type: Co-located Assets
- Battery: 61 MW / 129 MWh
- Solar: 143 MW solar
Day-Ahead Forecasting
€130,845- Imbalance reduction€95,095
- Price optimisation€35,750
Intraday Forecasting
€100,386- Session gains€46,332
- Peak avoidance€54,054
Balancing Forecasting
-- FCR/aFRR revenue-
- Settlement savings-
Net monthly gain+€231,231
Disclaimer: Representative numbers are conservative estimates based on the Spanish electricity market benchmark for 2024-2026, assuming an industry-average forecast error of 18%. Actual savings depend on portfolio composition and current market conditions.
Designed to be native to your ecosystem
Step 1
Account setup, API key provisioning, and sandbox access. Portfolio and asset parameters configured with onboarding support.
Step 2
Technical integration or dashboard configuration completed. Historical backtesting data provided for initial model validation.
Step 3
Live forecast and optimization delivery begins across all subscribed products.
Step 4
Full operational access. Ongoing support for parameter adjustments as portfolio or market conditions evolve.
Insights behind forecasting models
Sharpen your understanding of energy forecasting and system design through our research, technical insights, and real-world integration experience.
Designing Predictive Energy Systems
A structured approach to building forecasting layers across solar generation, load consumption, and market pricing within modern energy infrastructure.
From Forecasts to Energy Decisions
How forecasting models enable real-time operational and trading decisions across energy systems.
Read Insight
Integrating Forecasting into Energy Systems
Key patterns for deploying forecasting models within EMS, BMS, and trading environments.
Read Insight
Managing Volatility in Energy Markets
Understanding how forecasting models improve performance in day-ahead and intraday markets.
Read Insight
Energy market insights, delivered to your inbox
Frequently Asked Questions
No. It supports decision-making by providing recommendations while leaving full control with your trading team.
Yes. Portfolio constraints, risk preferences, and trading objectives can all be incorporated into the optimization process.
Yes. While the two products are designed to complement each other, Trading Intelligence can also use external forecasting inputs.
Yes. The platform supports optimization across batteries, renewable generation, and hybrid portfolios, considering multiple assets simultaneously.
Yes. Trading Intelligence is designed to integrate with existing trading platforms, EMS, VPP platforms, and proprietary software.
Trading Intelligence supports optimization across day-ahead, intraday, and balancing markets, enabling coordinated participation across market sessions.
Ready to forecast what’s coming?
Turn complex market signals into clear, confident decisions with smarter energy forecasting.