======== Lake API ======== .. image:: https://img.shields.io/pypi/v/lakeapi.svg :target: https://pypi.python.org/pypi/lakeapi :alt: Pypi package status .. image:: https://readthedocs.org/projects/lake-api/badge/?version=latest :target: https://lake-api.readthedocs.io/en/latest/?version=latest :alt: Documentation status .. image:: https://github.com/crypto-lake/lake-api/actions/workflows/dev.yml/badge.svg :target: https://github.com/crypto-lake/lake-api/actions/workflows/dev.yml :alt: Build status API for accessing Lake crypto market data. Lake is a service providing `historical cryptocurrency market data `_ in high detail, including `order book data `_, tick trades and 1m trade candles. It is tuned for convenient quant and machine-learning purposes and so offers high performance, caching and parallelization. * Web: https://crypto-lake.com/ * Documentation: https://lake-api.readthedocs.io. * Online example -- executable collab notebook: https://colab.research.google.com/drive/1E7MSUT8xqYTMVLiq_rMBLNcZmI_KusK3 Usage ----- If you don't have a paid plan with AWS credentials, you can access sample data: .. code-block:: python import lakeapi lakeapi.use_sample_data(anonymous_access = True) df = lakeapi.load_data( table="book", start=None, end=None, symbols=["BTC-USDT"], exchanges=["BINANCE"], ) With paid access, you can query any data: .. code-block:: python import lakeapi # Downloads SOL-USDT depth snapshots for last 2 days from Kucoin exchange df = lakeapi.load_data( table="trades", start=datetime.datetime.now() - datetime.timedelta(days=2), end=None, symbols=["SOL-USDT"], exchanges=["KUCOIN"], ) We recommend putting .lake_cache directory into .gitignore, because Lake API stores cache into this directory in the working directory.