Products

The Re-Twin platform is built around three modules. Each answers a different type of question, but they rely on the same models and data sources, so the results fit together seamlessly:

  • Market Data (Free) → What information is available in the markets, and how can I explore it right away?
  • Investment Analysis (Backtest and Future) → What revenues can my project achieve, both historically and in future scenarios, and how does that affect its bankability?
  • Virtual Trading → How would a trading strategy perform in practice, and how does it compare to forecasts or other traders?

Market Data (Free Access)

This module provides open access to essential information on European power markets, serving as the cornerstone for the entire platform. The datasets powering Market Data are seamlessly integrated into both Investment Analysis and Virtual Trading, ensuring consistency across all modules.

With Market Data, you can:

Who it's for: Analysts, traders, developers, students — anyone seeking to understand market trends and dynamics.

The data is updated daily, and we are continuously expanding coverage to include more countries and data sources, making it easier for everyone to access and analyze critical market information.

Tip: Market Data is free for all users.

Investment Analysis

Investment Analysis empowers developers, investors, and lenders to assess the long-term financial performance of storage and renewable energy projects. By combining backtesting with advanced market modeling, this module delivers bankable revenue projections that support informed decision-making.

Supported Asset Classes:

We currently support investment analysis for the following asset classes:

  • Standalone BESS (Battery Energy Storage Systems)
  • PV + Storage
  • Wind + Storage

Additional asset classes, such as C&I + Storage and Hybrid Systems, are planned for future releases.

Key Outputs:

  • Revenue Breakdown: Insights by market (Day-Ahead, Intraday, Ancillary Services)
  • Financial Metrics: Comprehensive analysis including Revenue, NPV, IRR, and Payback Periods
  • Long-Term Forecast Pathways: Multiple long-term cases (e.g., national trends, net-zero pathways)
  • Scenario Modeling: Evaluate market participation strategies and risk estimations
  • Comparative Analysis: Standalone vs. co-located projects (e.g., Solar + Storage)
  • Export Options: Generate detailed reports in PDF or Excel formats
  • Scenario Comparisons: Compare metrics like IRR and NPV across different scenarios

Who it's for: Developers, investors, and financial institutions seeking reliable and actionable investment insights.

For a deeper dive into the revenue estimation methodology, visit the Methodology Page.

Virtual Trading

Virtual Trading allows you to assess how an asset or strategy would perform under real market conditions through live simulations. By leveraging actual market forecasts, it generates bids and matches them virtually to simulate trades, creating a "shadow portfolio" for benchmarking, strategy testing, and performance comparison — all without financial risk.

Supported Asset Classes:

  • Standalone BESS (Battery Energy Storage Systems)

Additional asset classes, such as PV + Storage and Wind + Storage, are planned for future releases.

Key Features:

  • Bid Schedules: Monitor bid submissions and their outcomes (accepted or rejected).
  • Trading Strategies: Experiment with various strategies, such as day-ahead-only, fully merchant, allowed cycles per day, or custom approaches.
  • Bidding Approaches: Choose from conservative, balanced, or high-risk bidding approach.
  • Revenue Insights: Analyze revenues generated from simulated trading runs.
  • Bid Insights: Use heatmaps to identify markets requiring improved forecasting or bidding strategies.
  • Dynamic Asset Updates: Update asset parameters, such as degradation, to simulate real-world behavior accurately.
  • Performance Benchmarks: Compare your strategy against market performance and third-party traders.

Who it's for: Asset owners, traders, and portfolio managers looking to measure and optimize trading performance.

Simulations are updated daily (with hourly updates coming soon), calculating revenues based on bids derived from real market forecasts and simulating asset behavior accordingly.

How the modules connect

Each module plays a different role but they are designed to work together:

  • Market Data is the free foundation — it provides the information base.
  • Investment Analysis uses that information to build long-term, bankable project results.
  • Virtual Trading applies the same market logic to short-term, strategy-driven simulations.

Together, they give you a complete picture: from market exploration, to long-term planning, to day-to-day trading performance.

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