To say that the cryptocurrency market is booming is like saying nothing at all. Just ten years ago, there were around 50 different cryptocurrencies in circulation – now there are more than 13,000. Users can trade them on hundreds of crypto exchanges. The scale and fragmentation of the market make reliable data collection increasingly important for developers, traders, analysts, and researchers.
Why does crypto data collection matter?
It’s therefore not surprising that more and more digital products related to cryptocurrency trading are emerging on the market: wallets, crypto trading bots, portfolio management solutions, crypto tax and accounting solutions, and more.
Businesses want to provide their users with the most accurate insights so they can make informed decisions. Cryptocurrency markets have also become the subject of academic research and analysis. Hence, the question arises: how to get historical and real-time crypto data from multiple exchanges? As is usually the case, the answer depends on your needs and the purpose of the data collection.
The Importance of Historical Crypto Data for Market Analysis
Historical crypto data is a cornerstone for effective market analysis. By delving into past data, traders and investors can uncover trends, patterns, and correlations that are useful for research and analysis. This data also serves as a foundation for backtesting trading strategies, allowing users to simulate how their strategies would have performed in different market conditions.
Additionally, historical data is valuable for evaluating the performance of various assets and analyzing portfolio strategies. In the ever-evolving cryptocurrency markets, access to comprehensive historical data gives analysts a stronger foundation for research.
Data availability in crypto
Some data is easiest to find at the source, i.e. directly on a cryptocurrency exchange. So, if you need the current price of Bitcoin on Kraken, all you need to do is check directly on the platform. That was the easy part. The tricky one starts when you need aggregated historical data. It gets even more challenging when you explore multiple exchanges for different cryptocurrencies. And yet another challenge is sourcing crypto data in real time.
How to get historical and real-time crypto data?
There are three well-established methods to acquire complex crypto data. Below we outline which one to choose under particular circumstances.
Method 1: Official APIs
Most cryptocurrency trading platforms provide official APIs, which give access to historical and current data about prices, trading volumes, and other relevant details. These APIs are typically documented and provide a direct way to obtain data from individual exchanges.
However, this solution is most practical if you only need data from a small number of exchanges. You also need software and developer skills. Integration with an exchange and its ongoing maintenance can be complex and demand significant engineering time.
Moreover, rate limits can restrict the amount of data you can fetch at once. And there is one more point to consider. By obtaining data from several exchanges, there is a risk that the data will be non-standardized, i.e. difficult to compare.
Read more: Crypto data standardization
Pros of official APIs
- Historical data
- Real-time data
- Direct access to the exchange
- Documentation
Cons of official APIs
- Longer integration time across multiple exchanges
- Higher integration and maintenance costs
- Non-standardized data between venues
Method 2: Flat Files
This solution is often chosen by universities, quantitative researchers, analysts, and teams that need large amounts of historical data without retrieving it request by request through a REST API.
CoinAPI Flat Files provides bulk historical market data through S3-compatible access. Available datasets include trades, quotes, OHLCV, and order book data. Files can be incorporated into automated ingestion pipelines, research environments, historical archives, and other large-scale data workflows.
Instead of selecting a dataset, making a one-time payment, and receiving a manually prepared file, users access available historical datasets with their CoinAPI API key and Usage Credits. S3 is used for file discovery and downloads, while Snowflake is available for supported analytical and data-warehouse workflows. MCP can also be used to discover buckets, prefixes, and available files before downloading them through S3.
Flat Files can provide tick-level historical data useful for backtesting trading strategies, market microstructure research, and reconstructing past market conditions.
Pros of flat files
- Efficient for bulk historical data
- No need to retrieve large datasets request by request
- Suitable for automated data pipelines
- Well-organized historical datasets
- Multiple market data types
Cons of flat files
- No real-time data
Method 3: Market Data API
In method one, we described connecting to exchanges via APIs, which is time-consuming when integrating with several platforms. Fortunately, you can use Market Data API instead.
CoinAPI is already connected to hundreds of cryptocurrency exchanges, allowing developers to access normalized data across multiple venues through a common interface.
Read the full guide on CoinAPI’s cryptocurrency data API.
Market Data API offers historical and real-time public market data from multiple exchanges.
Market Data API covers exchange-specific data such as trades, quotes, OHLCV, order books, market metrics, and reference data. Other types of CoinAPI data are available through separate products: Exchange Rates API provides aggregated cryptocurrency and fiat exchange rates, while Indexes API provides cryptocurrency benchmark indexes.
The data is normalized into consistent schemas across different exchanges, making multi-exchange data easier to integrate and analyze.
Another advantage is that you don’t have to build and maintain a separate market data integration for every exchange. CoinAPI manages the underlying exchange connectivity and normalization, while users integrate with CoinAPI through supported interfaces such as REST, WebSocket, FIX, and bulk historical delivery depending on the product and workload.
Pros of Market Data API
- Easier multi-exchange integration
- Access to hundreds of crypto exchanges
- Historical data
- Real-time data
- Documentation
- Standardized data schemas
Cons of Market Data API
- Using a third-party provider introduces dependency on that provider’s infrastructure, coverage, and service availability
Collecting Transaction History and Trade Data
Collecting trade history is fundamental for thorough market analysis. Public trade data can be sourced from cryptocurrency exchanges and third-party market data providers.
It is important to distinguish public market trades from an individual user’s transaction history. CoinAPI Market Data API provides public exchange market data; it does not automatically retrieve a user’s private wallet transaction history or locate lost cryptocurrency transactions.
Public trade data can include information such as trade timestamps, price, size, symbol identifiers, and taker side where available. This enables researchers and developers to analyze historical market behavior and build data-driven applications.
Best Practices for Secure Data Management
Ensuring secure management of collected data is important for maintaining data integrity. Some common practices include:
- Secure Protocols: Use HTTPS and encryption for data transmission and appropriate protection for stored data.
- Access Controls: Implement authentication and authorization mechanisms to restrict access.
- Regular Backups: Back up important historical datasets according to your recovery requirements.
- Secure Storage Solutions: Use storage infrastructure appropriate for the sensitivity and scale of the data.
- Data Validation: Implement validation and verification processes to identify incomplete or malformed records.
By following these practices, teams can build more reliable historical data pipelines.
What kind of historical data can you get?
CoinAPI provides different historical datasets through different products.
Market Data API provides public exchange market data such as:
- Trades
- Quotes
- Level 1, Level 2, and Level 3 order book data, where supported
- OHLCV
- Market metrics and reference data
Exchange Rates API provides current and historical crypto-to-crypto, crypto-to-fiat, and fiat-to-fiat exchange rates.
Indexes API provides real-time and historical cryptocurrency benchmark index data.
For large-scale historical workloads, Flat Files provides bulk datasets such as trades, quotes, OHLCV, and order books through S3-compatible access.
How to get historical and real-time crypto data without specific software?
Even if you don't have any specific software, you can still access an API connection. You can use simple tools like cURL or Postman, which are used to send requests to an API and receive responses.
With cURL, you can send a request directly from your command line. Here's a basic example of how you might use cURL to send a request to our Exchange Rates API:
curl -H "X-CoinAPI-Key: YOUR_API_KEY" https://rest.coinapi.io/v1/exchangerate/BTC/USD
In this example, replace YOUR_API_KEY with your actual API key. This request returns the current exchange rate between Bitcoin and US dollars.
If you prefer a graphical interface, Postman is another option. You can input the URL, headers, and other information about your request, and it will display the response for you.
To use CoinAPI, you'll need an API key, which you can create through the API BRICKS Console.
Challenges in Collecting and Analyzing Crypto Data
Collecting and analyzing crypto data presents several challenges that developers, researchers, and market participants must navigate. These include:
- Data Quality Issues: Crypto data can contain gaps, anomalies, or inconsistent source information, which needs to be considered during analysis.
- Data Volume: Tick-level trades, quotes, and order book data can produce very large historical datasets.
- Data Variety: Different exchanges use different schemas, identifiers, timestamp conventions, and interfaces.
- Data Velocity: Real-time crypto markets generate continuous streams of trades, quotes, and order book updates.
- Multi-Exchange Normalization: Comparing data across venues requires consistent identifiers and schemas.
Understanding these challenges is the first step toward building reliable cryptocurrency data infrastructure.
Crypto Indexes
You can also obtain historical and real-time cryptocurrency benchmark data using the CoinAPI Indexes API.
CoinAPI’s current index offerings include three main methodologies:
- VWAP (Volume-Weighted Average Price): volume-weighted cryptocurrency reference prices calculated across multiple exchanges.
- PRIMKT (Principal Market Price): identifies the principal market for an asset pair and uses pricing from that venue.
- CAPIVIX (CoinAPI Volatility Index): measures expected 30-day volatility for BTC and ETH using options-market data.
The Indexes API provides current and historical index values, OHLC time-series data, composition information, weights, and underlying calculation inputs depending on the index.
Custom index calculation is available for Enterprise customers rather than as a general Indexes API feature.
Read everything you need to know about crypto indexes.
Summary
Collecting historical and real-time crypto data can be complex due to the number of exchanges, different data formats, and the volume of information generated by cryptocurrency markets.
The right method depends on the workload. Official exchange APIs can work well for direct access to a small number of venues. CoinAPI Market Data API provides normalized historical and real-time data across multiple exchanges, while Flat Files is designed for bulk historical workloads.
For other requirements, Exchange Rates API provides aggregated reference rates and Indexes API provides cryptocurrency benchmarks.
Check the requirements of your project, choose the appropriate data product and access method, and if you need assistance making the decision, contact us.
