Skip to main content

Ehdtd - cryptoCurrency Exchange history data to database

Project description

Ehdtd - cryptoCurrency Exchange history data to database

This class retrieves historical data from exchanges and stores it in a database.

Example:

Install

```bash
pip install ehdtd
```

Use

```python
import time
from ehdtd import Ehdtd

exchange = 'binance'
symbol = 'BTC/USDT'
interval = '1m'
limit = 10

db_data = {
    'db_type': 'postgresql',  # postgresql, mysql
    'db_name': 'ehdtd',
    'db_user': 'ehdtd',
    'db_pass': 'xxxxxxxxx',
    'db_host': '127.0.0.1',
    'db_port': '5432'
}

fetch_data = [
    {
        'symbol': symbol,
        'interval': interval
    }
]

ehd = Ehdtd(exchange, fetch_data, db_data)  # Create an instance
ehd.start()  # Start fetching data

time.sleep(900)  # First time Wait for available data, for the data to be updated,
                 # you must wait between 90 minutes and 2.5 hours depending on the interval

for v in fetch_data:
    symbol = v['symbol']
    interval = v['interval']
    start_from = 0
    until_to = None
    return_type = 'pandas'
    data_db = ehd.get_data_from_db(symbol, interval, start_from, until_to, return_type)
    print(data_db)
    print('=========================================================================')
    print('')
    time.sleep(1)

ehd.stop()  # Stop fetching data
```

How It Works:

For Binance:

  1. Try to retrieve data from a file. Check this link:
    Binance Public Data
  2. If the file is not available, try to retrieve data from the API.
  3. Then get data from the WebSocket API using the Ccxw class.

Database Columns:

  • open_time, open_date, open_price, close_time, close_date, close_price, low, high, volume, exchange, symbol, interval, status, data

  • Column data is not used,
    and column status can have three values: '__NON_CHECK__', '__OK__', '__ERROR__'.

    • If status == '__OK__', the file has consistent data.
    • If status == '__ERROR__', the file has inconsistent data.
    • If status == '__NON_CHECK__', the file is not analyzed.

Retrieving Data from Database:

Use the function ehd.get_data_from_db(symbol, interval, start_from, until_to, return_type):

  • If return_type == 'pandas', it returns a Pandas DataFrame.
  • If return_type == 'list', it returns a list of dictionaries.

View License

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

ehdtd-0.2.9.tar.gz (36.1 kB view details)

Uploaded Source

Built Distribution

ehdtd-0.2.9-py3-none-any.whl (52.2 kB view details)

Uploaded Python 3

File details

Details for the file ehdtd-0.2.9.tar.gz.

File metadata

  • Download URL: ehdtd-0.2.9.tar.gz
  • Upload date:
  • Size: 36.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.9.2

File hashes

Hashes for ehdtd-0.2.9.tar.gz
Algorithm Hash digest
SHA256 2a70da0b3dc25828a34734ab6cbdb96b2c5afcfbbbcaedf20efd2cd5ab7b886c
MD5 c8a90be019fcb39ade720d7d3d6c7126
BLAKE2b-256 781cdef9b1b64e40ae334732089639559229d0687de2ffb3c1f367fe731ffc9f

See more details on using hashes here.

File details

Details for the file ehdtd-0.2.9-py3-none-any.whl.

File metadata

  • Download URL: ehdtd-0.2.9-py3-none-any.whl
  • Upload date:
  • Size: 52.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.9.2

File hashes

Hashes for ehdtd-0.2.9-py3-none-any.whl
Algorithm Hash digest
SHA256 439cc6de759ba36efbf11e3b296b113bf4bcaf22700e1a8c4dca0abbd9f8b503
MD5 cc2d05f262d5ab1e692be88eb2f4ceab
BLAKE2b-256 fe3de506d713925d43ea76bbdf870d1df2774a6b640fc971e8bd8ba65f37baa1

See more details on using hashes here.

Supported by

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