Datasets › Dataset for Mid-Price Forecasting of Limit Order Book Data

Dataset for Mid-Price Forecasting of Limit Order Book Data

Introduced in Benchmark Dataset for Mid-Price Forecasting of Limit Order Book Data with Machine Learning Methods9 May 2017 archive 2025-07-28

This is a benchmark dataset for mid-price forecasting of limit order book data. It is a dataset of high-frequency limit order markets for mid-price prediction. The authors extracted normalized data representations of time series data for five stocks from the NASDAQ Nordic stock market for a time period of ten consecutive days, leading to a dataset of ~4,000,000 time series samples in total. A day-based anchored cross-validation experimental protocol is also provided that can be used as a benchmark for comparing the performance of state-of-the-art methodologies.

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • Dataset for Mid-Price Forecasting of Limit Order Book Data

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