Skip to main content

A very fast downloader for Binance historical data

Project description

A very simple fast fetcher for Binance historical market data.

By using a combination of historical CSV files and API calls this tiny library can avoid rate limits and fetch data significantly faster than alternatives that fetch just from the API.

here is a benchmark for you :)

Downloaded tickers Time range HistoricalBinance Freqtrade
BTC/USDT:USDT, ETH/USDT:USDT 20230201-20240315 5.139s 5min 11.78s
BTC/USDT:USDT, ETH/USDT:USDT, OP/USDT:USDT, FET/USDT:USDT, SOL/USDT:USDT, RUNE/USDT:USDT 20230201-20240315 9.68s 14min 28.22s

Usage

The library includes two classes - BinanceDataDownloader and BinanceDataDownloader

BinanceDataDownloader is a very simple class that just fetches the available tickers to download and upon requesting the download_one_ticker(ticker, start_date, end_date, timeframe) function will return a polars dataframe requested. If necessary it can be easily converted to pandas.

 downloader = BinanceDataDownloader()
 data = await downloader.download_one_ticker("BTCUSDT", datetime(2020, 1, 1), datetime(2024, 3, 10), "1d")

BinanceDataProvider is served as an example of how to effectively use the library - caching and asynchronously fetching multiple tickers.

Here is an example of how to use BinanceDataProvider:

from binance_data import BinanceDataProvider 
 
async def binance_data_provider_example(self):
    provider = BinanceDataProvider(["ETH/USDT:USDT", "BTC/USDT:USDT", "FET/USDT:USDT", "RUNE/USDT:USDT", "SOL/USDT:USDT", "OP/USDT:USDT"], ["1m"])
    await provider.update_tickers_async(["ETH/USDT:USDT", "BTC/USDT:USDT", "FET/USDT:USDT", "RUNE/USDT:USDT", "SOL/USDT:USDT", "OP/USDT:USDT"], ["1m"], datetime(2023, 2, 1))
    print(provider.cached_dataframes["1m"]["ETHUSDT"])

This will print out a polars dataframe with columns 'date', 'open', 'high', 'low', 'close', 'volume', 'count', 'taker_buy_volume', however if you wish you can modify the code to keep the 'ignore', 'taker_buy_quote_volume' and 'quote_volume' fetched from Binance.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

historical_binance-0.1.2.tar.gz (9.2 kB view details)

Uploaded Source

Built Distribution

historical_binance-0.1.2-py3-none-any.whl (9.5 kB view details)

Uploaded Python 3

File details

Details for the file historical_binance-0.1.2.tar.gz.

File metadata

  • Download URL: historical_binance-0.1.2.tar.gz
  • Upload date:
  • Size: 9.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.7

File hashes

Hashes for historical_binance-0.1.2.tar.gz
Algorithm Hash digest
SHA256 459380f5cccf66210592e456982d6c1194dcd8c694fdda64cec337467c1eef78
MD5 cd180ab20e53f78cbf891835bf440928
BLAKE2b-256 09f34392eaa47e25d362083f3d8722ddb6306fde5271ac6053a5baa3623f2e0c

See more details on using hashes here.

File details

Details for the file historical_binance-0.1.2-py3-none-any.whl.

File metadata

File hashes

Hashes for historical_binance-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c81a61ff2f45c86838125798cc7c2d7838d8a5794556e9f6ec6b029c54059872
MD5 780bebc19bad2d1e1ded0c34d0dd733c
BLAKE2b-256 4ab21d26e8f1c2e4bc33cd62e6d8ee551b7a5c43fb875922144e447784d1d6c1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page