exfinance

A Python package to automate downloading high-quality tick data from Exness data archives (ex2archive).

Features

• List all available trading pairs
• Download historical tick data for any pair and date range
• Save data as CSV or load directly as pandas DataFrame
• Configurable data source URL

Installation

Using Poetry

poetry install

Using pip

pip install [email protected]:alihaskar/efinance.git

Usage

from exfinance import Exness
exness = Exness()
pairs = exness.get_available_pairs()
data = exness.download('EURUSD', '2023-01-01', '2023-03-01')

Downloader Optimizations

• Downloads are now parallelized for faster multi-month fetches (uses ThreadPoolExecutor).
• CSVs are read directly from zip files in memory if you don't specify a save path (no disk I/O).
• Error handling is granular: network, extraction, and parsing errors are logged separately.
• Date range validation: start date must not be after end date; monthly frequency uses last day of month.
• Logging is always configured for consistent output.

Linting

This project uses ruff for linting:

poetry run ruff check .

License

MIT