Skip to main content
GitHub last commit GitHub license<space><space> PyPI PyPI - Python Version

Short Overview.

binance_historical_data is a python package (py>=3.8) which makes download of historical crypto data (prices and volumes) from binance server as simple as it can only be. You don’t even need to have an account at binance.com to download all history of crypto data

Dumped locally and then unzipped,
so you would have an identical local ready to use data copy
Using this package you will be able to have full historical data of prices and volumes with only 3 lines of python code
And if you need to update already downloaded data then once again 3 lines of python code will do the job
Limitations: The previous day data appears on binance server a few minutes after 0 a.m. UTC
So there is a delay in which you can get the data.

Installation via pip:

pip install binance_historical_data

How to use it

Initialize main object: data_dumper

from binance_historical_data import BinanceDataDumper

data_dumper = BinanceDataDumper(
    path_dir_where_to_dump=".",
    asset_class="spot",  # spot, um, cm
    data_type="klines",  # aggTrades, klines, trades
    data_frequency="1m",
)

Arguments:

  1. path_dir_where_to_dump:
    (string) Path to folder where to dump the data
  2. asset_class:
    (string) Source of data: [spot, um, cm] um: usd(t) margined futures, cm: coin margined futures
  3. data_type=”klines”:
    (string) data type to dump:
    [aggTrades, klines, trades] for spot
    [aggTrades, klines, trades, indexPriceKlines, markPriceKlines, premiumIndexKlines, metrics] for futures (metrics only supported for um)
    Refer to binance doc for additional info: https://github.com/binance/binance-public-data
  4. str_data_frequency:
    (string) One of [1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, 6h, 8h, 12h]
    Frequency of price-volume data candles to get

1) The only method to dump the data

data_dumper.dump_data(
    tickers=None,
    date_start=None,
    date_end=None,
    is_to_update_existing=False,
    tickers_to_exclude=["UST"],
)

Arguments:

  1. tickers=None:
    (list) Trading pairs for which to dump data
    if equals to None - all USDT pairs will be used
  2. date_start=None:
    (datetime.date) The date from which to start dump
    if equals to None - every trading pair will be dumped from the early begining (the earliest is 2017-01-01)
  3. date_end=True=None:
    (datetime.date) The last date for which to dump data
    if equals to None - Today’s date will be used
  4. is_to_update_existing=False:
    (bool) Flag if you want to update the data if it’s already exist
  5. tickers_to_exclude=None:
    (list) Tickers to exclude from dump

2) Delete outdated daily results

Delete all daily data for which full month monthly data was already dumped

data_dumper.delete_outdated_daily_results()

.csv klines (candles) files columns

“Open time” - Timestamp
“Open”
“High”
“Low”
“Close”
“Volume”
“Close time” - Timestamp
“Quote asset volume”
“Number of trades”
“Taker buy base asset volume”
“Taker buy quote asset volume”
“Ignore”

Examples

How to dump all data for all USDT trading pairs

Please be advised that the first data dump for all trading pairs might take some time (~40 minutes)

data_dumper.dump_data()

How to update data (get all new data)

It’s as easy as running the exactly same method dump_data once again
The data_dumper will find all the dates for which data already exists
and will try to dump only the new data
data_dumper.dump_data()

How to update (reload) data for the asked time period

data_dumper.dump_data(
    date_start=datetime.date(year=2021, month=1, day=1),
    date_end=datetime.date(year=2022, month=1, day=1),
    is_to_update_existing=True
)

Other useful methods

Get all trading pairs (tickers) from binance

print(data_dumper.get_list_all_trading_pairs())

Get the first data when data for the ticker can be found

print(data_dumper.get_min_start_date_for_ticker())

Get all tickers with locally saved data

print(
    data_dumper.get_all_tickers_with_data(timeperiod_per_file="daily")
)

Get all dates for which there is locally saved data

print(
    data_dumper.get_all_dates_with_data_for_ticker(
        ticker,
        timeperiod_per_file="monthly"
    )
)

Get directory where the local data of exact ticker lies

print(
    data_dumper.get_local_dir_to_data(
        ticker,
        timeperiod_per_file,
    )
)

Create file name for the local file

print(
    data_dumper.create_filename(
        ticker,
        date_obj,
        timeperiod_per_file="monthly",
    )
)

Contacts

License

This project is licensed under the MIT License.

Metadata

Release files for binance-historical-data 0.1.14

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for binance-historical-data 0.1.14
File Size Uploaded
binance_historical_data-0.1.14.tar.gz 14.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for binance-historical-data 0.1.14
File Interpreter ABI Platform
binance_historical_data-0.1.14-py3-none-any.whl Python 3 none any Details

Total release size: 26.5 kB

Release files / binance_historical_data-0.1.14.tar.gz

Download URL binance_historical_data-0.1.14.tar.gz
Size 14.0 kB
Tags Source
SHA-256 checksum
How to use checksums
fdd776093bedfd44a9f4463e63ba67b92656f840e10fab4180b8eb756b837a54
BLAKE2b-256 checksum
How to use checksums
ec0f3b241a021c36ec64fad094dbcd6d9f359b5545ab01802fa75e3693d9f201
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.1.13 CPython/3.9.7 Windows/10

Release files / binance_historical_data-0.1.14-py3-none-any.whl

Download URL binance_historical_data-0.1.14-py3-none-any.whl
Size 12.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
47caf4e785cb88f0bff04e425e3d29b83b4a8d56d0401f0e0e542d26a4cd315c
BLAKE2b-256 checksum
How to use checksums
8fa58826a2fe598b1c08be13d5b3a15f3106142f966907e12eb413f9350ced2b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.1.13 CPython/3.9.7 Windows/10

Release history Release notifications | RSS feed

This release

0.1.14 This release

2 release files

0.1.13

2 release files

0.1.12

2 release files

0.1.11

2 release files

0.1.10

2 release files

0.1.9

2 release files

0.1.8

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page