Python CryptoPrice: Fetch Cryptocurrency Prices Across Multiple Exchanges

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Introduction to CryptoPrice

CryptoPrice is a powerful, open-source Python library designed to streamline the process of retrieving cryptocurrency price data and candlestick history from multiple exchanges. Built with developers and data analysts in mind, this tool enables effortless access to real-time and historical crypto asset prices across platforms like Binance and Kucoin—all through a unified interface.

Whether you're building trading bots, conducting market analysis, or comparing price discrepancies between exchanges, CryptoPrice simplifies data aggregation with minimal setup and maximum flexibility.

👉 Discover how to integrate advanced crypto pricing tools into your workflow today.

Key Features of CryptoPrice

The core strength of CryptoPrice lies in its ability to unify disparate exchange APIs under one consistent framework. This eliminates the need to write custom logic for each exchange, saving development time and reducing complexity.

Multi-Exchange Support

Currently, the library supports:

With built-in cross-API logic, CryptoPrice intelligently routes requests and normalizes responses across different platforms.

Smart Price Retrieval

Even when direct trading pairs don’t exist (e.g., LTC/XRP), the library uses a MetaRetriever to calculate estimated prices by chaining available pairs (e.g., LTC/USDT → USDT/XRP). This feature is especially useful for analyzing less-traded tokens across fragmented markets.

Historical Data Access

Retrieve price points at specific timestamps, making it ideal for backtesting strategies or auditing historical trades.

Installation Guide

Getting started with CryptoPrice is simple. The library is published on PyPI, so installation requires just one command:

pip install python-CryptoPrice

For users who want access to the latest features (including experimental updates), you can install directly from the GitHub develop branch:

pip install git+https://github.com/EtWnn/CryptoPrice.git@develop
Note: Development versions may be unstable—use them only in non-production environments.

After installation, import the library and begin fetching data within minutes.

Practical Usage Examples

Let’s explore some common use cases that demonstrate the library’s capabilities.

Fetching the Closest Price at a Given Time

To get the nearest recorded price for a given asset and timestamp:

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')

This returns the closest matching price near January 1, 2021, at 15:14 UTC from Binance.

Estimating Prices for Non-Trading Pairs

When no direct market exists between two assets, use get_mean_price() to compute an estimated value using intermediate pairs:

import datetime
from CryptoPrice import get_default_retriever

retriever = get_default_retriever()
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 is not None:
    print(f"{asset} = {price.value:.5f} {ref_asset}, source: {price.source}")

Output:

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

This result combines data from both Binance and Kucoin to derive an average cross-exchange rate.

👉 Learn how accurate price data powers smarter trading decisions.

Why Use CryptoPrice?

In today’s fragmented crypto landscape, pricing data varies significantly across exchanges due to liquidity differences, regional demand, and arbitrage opportunities. CryptoPrice addresses these challenges by offering:

These features make it a valuable tool for quantitative analysts, DeFi researchers, and algorithmic traders alike.

FAQ

Q: Is CryptoPrice free to use?
A: Yes. CryptoPrice is an open-source library distributed under permissive licensing. You can use it freely in personal or commercial projects.

Q: Can I contribute to the project?
A: Absolutely! The project welcomes pull requests and suggestions via its GitHub repository. Whether it's adding new exchanges or improving documentation, community contributions are highly encouraged.

Q: Does it support real-time streaming?
A: Currently, CryptoPrice focuses on REST-based historical and snapshot price retrieval. WebSocket streaming is not yet supported but may be considered in future updates.

Q: How accurate is the cross-pair price estimation?
A: The accuracy depends on the depth and reliability of the underlying trading pairs used in the path. While it provides a reasonable estimate, it should not be treated as a definitive market price for high-frequency trading without further validation.

Q: What happens if an API rate limit is hit?
A: The library handles basic error responses from APIs but does not include advanced retry logic or caching. Users are advised to implement rate-limiting safeguards in production environments.

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Final Thoughts

CryptoPrice fills a critical gap in the Python ecosystem by providing a clean, extensible way to access cryptocurrency pricing data across multiple exchanges. Its intelligent fallback mechanisms and support for indirect price calculations make it particularly useful for projects requiring comprehensive market coverage.

Whether you're analyzing long-term trends or building a decentralized finance dashboard, having reliable, easy-to-access price data is essential.

👉 Access powerful trading APIs and real-time market data to enhance your applications.