# Ensimag IF - Algorithmic trading 2025 — Data

来源：https://www.kaggle.com/competitions/ensimag-if-2025/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

## Files

*   **train.csv** - the training set (past data on which you train your model)
*   **test.csv** - the test set ("future" data on which you have to predict the spread)
*   **sample.csv** - a sample submission file in the correct format
*   **imbalances.csv** - Imbalances price useful for cross-validation (Only on trainset dates)

## Columns

*   `wind` - German day-ahead wind power forecast (MW)
*   `solar` - German day-ahead solar power forecast (MW)
*   `load` - German day-ahead load forecast (MW)
*   `spread` - Difference between Imbalances price and Day-Ahead price (€)
*   `imbalances` - Imbalances price (€)
*   `forecast` - Your forecasted spread (€)