Python CryptoPrice Library: Retrieve Crypto Asset Prices Effortlessly

Overview

The Python CryptoPrice library is a powerful tool designed to fetch price and candle history data for cryptocurrency assets from multiple sources. Developed by EtWnn, this open-source project aims to simplify crypto price retrieval while supporting various exchange APIs under one unified interface.

Key Features

Multi-exchange support: Integrates with Binance and KuCoin APIs
Cross-API functionality: Compare prices across different exchanges
Flexible price retrieval: Get historical prices using timestamps
Smart pathfinding: Calculate prices even for non-direct trading pairs
Open-source: Community-driven development on GitHub

Getting Started

Installation Options

Stable version (via PyPI):
```
pip install python-CryptoPrice
```

Development version (latest features):

pip install git+https://github.com/EtWnn/CryptoPrice.git@develop

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Practical Usage Examples

Basic Price Retrieval

import datetime
from CryptoPrice import get_default_retriever

retriever = get_default_retriever()
asset = 'BTC'
ref_asset = 'USDT'
timestamp = int(datetime.datetime(2021, 1, 1, 15, 14).timestamp())

price = retriever.get_closest_price(asset, ref_asset, timestamp)
print(price)

Output:

Price(value=29480.0, asset='BTC', ref_asset='USDT', timestamp=1609510440, source='binance')

Advanced Cross-Pair Calculation

asset = 'LTC'
ref_asset = 'XRP'
timestamp = int(datetime.datetime(2021, 3, 3, 15, 14).timestamp())

price = retriever.get_mean_price(asset, ref_asset, timestamp)
if price:
    print(f"{asset} = {price.value:.5f} {ref_asset}, sources: {price.source}")

Output:

LTC = 420.76841 XRP, sources: {'binance', 'kucoin'}

Technical Documentation

Source Code: Available on GitHub
Documentation: Comprehensive guides at ReadTheDocs

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Project Status

This library is currently in active development. Contributors are welcome to:

Submit suggestions via GitHub discussions
Open pull requests for new features
Report issues or bugs

FAQs

What exchanges does CryptoPrice support?

Currently supports Binance and KuCoin, with plans to add more exchanges in future updates.

How accurate is the price calculation for non-direct pairs?

The library uses sophisticated algorithms to find the most reliable trading paths across available pairs, providing weighted average prices.

Can I use this for real-time trading?

While suitable for historical data analysis, consider exchange-specific WebSocket APIs for low-latency trading applications.

Is there rate limiting?

Yes, the library respects each exchange's API rate limits. For intensive use, consider implementing your own caching system.

How can I contribute?

Check the GitHub repository for open issues or feature requests. The maintainer welcomes code contributions and documentation improvements.

Support the Project

If you find this library valuable, consider supporting development:

BTC: 14ou4fMYoMVYbWEKnhADPJUNVytWQWx9HG
ETH: 0xfb0ebcf8224ce561bfb06a56c3b9a43e1a4d1be2
LTC: LfHgc969RFUjnmyLn41SRDvmT146jUg9tE
EGLD: erd1qk98xm2hgztvmq6s4jwtk06g6laattewp6vh20z393drzy5zzfrq0gaefh

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