Crypto 24h trading volume declined as 2023 progressed, with figures being one-third lower than in 2022. The decline follows after Binance and Coins - two of the biggest crypto exchanges in the world - received lawsuits in the United States. Observations are also that the crypto market was quiet after April, citing a lack of a "strong overarching narrative". This is in contrast to 2021 and 2022 when cryptocurrency dominated the news and many people sought fortune in the digital currency.

Bitcoin developments

Bitcoin's trade volume slowed in the second quarter of 2023, after hitting a noticeable growth at the beginning of the year. The coin outperformed most of the market. Some attribute this to the announcement in June 203 that BlackRock filed for a Bitcoin ETF. This iShares Bitcoin Trust was to use Coinbase Custody as its custodian. Regulators in the United States had not yet approved any applications for spot ETFs on Bitcoin.

Changes in Ethereum staking in 2023

Ethereum's trade volume changed in 2023 due to the rollout of the Shapella (Shanghai and Cappella) upgrade. The update allowed investors to withdraw (unstake) Ethereum deposited into the network. Staking can be somewhat compared to depositing money at a bank, where one would submit money to be held and gains interest as time goes by. Lido has the highest staking pool (a platform that allows for staking) in Ethereum, higher than major crypto exchanges Coinbase and Kraken.

Bitcoin trading volume peaked in late February 2021 to a level much higher in the rest of the year, marking a significant month in the coin's history. Whilst there is no clear explanation why the trade volume went up so much on February 26, Bitcoin's price development suggests the cryptocurrency's value around that time declined somewhat after weeks of growth and continued media attention. That morning, Bitcoin went down by around 11 percent - potentially sparking a buying frenzy for people who saw this an opportune time to invest in the coin. Indeed, most consumers in both the U.S. and the UK invest in crypto for growth prospects.

Our Market Data covers historical and real-time data. For CEXs, our data spans back to 2015, and for DEXs, we cover since the genesis trade. We cover every instrument on any exchange, so if it's traded, we cover it.

We understand you need to access the data you want, when and where you need it. With this in mind, we built our Market Data with several delivery options, including a robust streaming service offering the most advanced live data distribution in the cryptocurrency industry, as well as REST API, CSV via cloud services, and BigQuery.

Our Market Data empowers traders, analysts, and financial institutions with the insights needed to navigate the complex derivatives market effectively.

| Use Cases | Backtesting Hedging Monitor market trends Risk Analysis Conduct research

| Why work with us? |

A proven enterprise-grade solution We prioritize the needs of enterprises in our product development, ensuring our solutions meet the requirements of larger organizations seeking best-in-class crypto data.

A UI-free approach to crypto data We recognize the importance of flexibility when it comes to crypto data, and so we offer you complete freedom by taking a UI-free approach to data delivery. This gives you total control over how you use and interpret the data, reducing friction and streamlining workflows.

Flexible to meet your needs Flexibility lies at the heart of our product and is fundamental to how crypto data can deliver value across industries and use cases. Living this philosophy, we’re always building custom options that can help you achieve your specific objectives. Whether it’s tailoring a package to meet your requirements, or adapting infrastructure to support your use case, our data and product teams are on-hand to help you find the best way to achieve your priority outcomes.

Crypto trader Binance ranked among the largest cryptocurrency exchangers in the world in 2024, with trading volume that was several times as high as Bybit or OKX. It should be noted that these figures are separate from platforms Binance.US, Binance TR or Binance.KR. The platform from the Cayman Islands faced investigations from the U.S. SEC, which came to a head in November 2023. Binance did not rank as the most used cryptocurrency exchanges used by consumers in the United States. Binance's settlement with the U.S. In November 2023, Binance agreed to pay a four billion U.S. dollar settlement with United States agencies — one of the biggest corporate fines in U.S. history. The U.S. Department of Justice investigated the platform for years for failure to prevent money laundering and growing crypto theft. The company's founder and CEO Changpeng Zhao pleaded guilty to the charges, agreeing to step down. Zhao would remain as the company's majority shareholder. The U.S. Treasury announced Binance will be subject to five years of monitoring and “significant compliance undertakings, including to ensure Binance’s complete exit from the United States.” Mixed signals from crypto companies The Binance settlement occurred in a month when overall crypto trading volume recorded its highest numbers for all of 2023. One of the main causes is the sudden popularity of FTT, a token released by FTX — the company founded by Sam Bankman-Fried. The developments surrounding Binance caused investors to move away from Binance's stablecoin BNB to the stablecoin from FTX. Earlier in November 2023, however, Coinbase saw its shares fall after announcing its quarterly performance figures.

The data is provided in a .csv file using the FileWhooper service. This service is currently only available for Windows and macOS filesystem. If you need the data using a linux system, please contact me.

More Info:

What are aggregate trades? If multiple trades are filled at the same millisecond, from the same order and at the same price, these trades are stored in one single aggregate trade.

What do the columns mean? id Each trade on the exchange server has an unique id. This id is directly fetched from the exchange server to guarantee gapless and consistent data.

time Timestamp in milliseconds when the trade happened on the exchange server asa provided by the exchange. Check https://currentmillis.com/ to find out how to translate this timestamp into a human readable format.

price Price per base currency in the given quote currency (here: USDT).

amount Quantity that was traded, given in base currency.

sell Can be True or False. If "True", then a price taker placed a market sell order to take an existing buy offer.

CoinAPI offers comprehensive crypto spot data from global markets, providing real-time prices, trades, OHLCV, quotes, and detailed order book information. Full crypto trade data. Access market depth and trading activity to gain valuable insights and enhance your trading strategies.

Ethereum trading volume more than doubled on May 19, 2021, compared to the previous day, following news China banned crypto services inside the country. Following this news, the market cap for the entire crypto market fell by billions of U.S. dollars. The Ethereum price that day also witnessed one of its biggest single-day declines on record. The price decline potentially may have attracted new investors to the cryptocurrency, leading to the increase in trading volume.

Based on 24 hour trading volume, stablecoin Bitcoin outpaced Ethereum and, more importantly, Tether in December 2024, accounting for most crypto trades. This is unusual as stablecoin Tether often tends to be most traded - due to its use in purchasing other cryptocurrencies. Bitcoin's leading role is underlined in a market cap league table of more than 100 cryptocurrencies — including ones for DeFi, NFT and stablecoins. Bitcoin and Ethereum were the only ones to reach over 100 billion U.S. dollars, with Ethereum following by around one half this amount. Does this mean that Bitcoin gets traded more than Ethereum? Not necessarily, as the daily transactions of Ethereum tend to be significantly higher than that of Bitcoin.

Algorithmic trading demands data that's both comprehensive and precise. CoinAPI delivers exactly this - institutional-grade cryptocurrency data spanning 350+ global exchanges through a unified API infrastructure that scales with your trading operation.

For high-frequency strategies where microseconds matter, our trade feeds provide the timestamp precision and delivery consistency required for effective execution. Our platform captures Bitcoin price data alongside 800+ other cryptocurrencies, ensuring complete market coverage for both established and emerging digital assets.

➡️ Why choose us?

📊 Market Coverage & Data Types: ◦ Real-time and historical data since 2010 (for chosen assets) ◦ Full order book depth (L2/L3) ◦ Trade-by-trade data ◦ OHLCV across multiple timeframes ◦ Market indexes (VWAP, PRIMKT) ◦ Exchange rates with fiat pairs ◦ Spot, futures, options, and perpetual contracts ◦ Coverage of 90%+ global trading volume

🔧 Technical Excellence: ◦ 99,9% uptime guarantee ◦ Multiple delivery methods: REST, WebSocket, FIX, S3 ◦ Standardized data format across exchanges ◦ Ultra-low latency data streaming ◦ Detailed documentation ◦ Custom integration assistance

Whether you're deploying latency-sensitive algorithms or developing longer-term systematic strategies, CoinAPI provides the reliable data foundation that professional cryptocurrency trading requires. From market microstructure analysis to strategy backtesting, our unified historical and real-time feeds support the complete algorithmic trading lifecycle.

The most popular Bitcoin trade in December 2024 involved the Bitcoin/Tether pair on Binance, making up nearly five percent of total 24h trade volume. Trades involving Bitcoin (BTC) and Tether (USDT) were also frequent on other exchanges, such as Bybit, Coinbase, and OKX. Among the biggest cryptocurrency exchanges in the world, Bitcoin was traded relatively frequently on Binance - having multiple entries in this list, with the BTC/BUSD and BTC/USD pairs - whereas no trades were observed for a platform like Mandala Exchange.

CoinAPI delivers institutional-grade crypto trade data from 350+ centralized and decentralized exchanges. Access detailed trade-by-trade information in real-time and historically to enhance your trading strategies across global crypto markets.

CoinAPI delivers institutional-grade Crypto Trade Data for Algorithmic Trading across global exchanges. Our low-latency feeds power sophisticated strategies with real-time prices and comprehensive cryptocurrency market information.

The data is provided in a .csv file per pair using the FileWhooper service. This service is currently only available for Windows and macOS filesystem. If you need the data using a linux system, please contact me.

More Info:

What are aggregate trades? If multiple trades are filled at the same millisecond, from the same order and at the same price, these trades are stored in one single aggregate trade.

What do the columns mean? id Each trade on the exchange server has an unique id. This id is directly fetched from the exchange server to guarantee gapless and consistent data.

time Timestamp in milliseconds when the trade happened on the exchange server asa provided by the exchange. Check https://currentmillis.com/ to find out how to translate this timestamp into a human readable format.

price Price per base currency in the given quote currency (here: USDT).

amount Quantity that was traded, given in base currency.

sell Can be True or False. If "True", then a price taker placed a market sell order to take an existing buy offer.

The following dataset contains the attributes:

Date: Specific date to be observed for the corresponding price.

Open: The opening price for the day

High: The maximum price it has touched for the day

Low: The minimum price it has touched for the day

Close: The closing price for the day

percent_change_24h: Percentage change for the last 24hours

Volume: Volume of Bitcoin traded at the date

Market Cap: Market Value of traded Bitcoin

In May 2023, the crypto trading volume recorded on Tokocrypto reached about 170 million U.S dollars. Over the period measured, Upbit Indonesia recorded the highest trading volume in Indonesia among the leading exchanges, with about 1.7 billion U.S dollars.

CoinAPI's crypto OHLCV and trade data give you the complete picture of market activity across more than 350 exchanges worldwide. Our candlestick data covers everything from 1-second intervals for scalping to monthly timeframes for trend analysis, ensuring you have the right level of detail for your trading approach.

Each candlestick provides the essential price information traders rely on - open, high, low, and close prices - along with corresponding volume data that shows the market strength behind each move. This combination of price action and trading volume creates the foundation for effective technical analysis and trading decisions.

Getting this data is straightforward - use our WebSocket streams for real-time market monitoring when every second counts, or access historical candlesticks through our REST API when you're conducting deeper market research or backtesting strategies. We maintain comprehensive historical records, giving you the ability to analyze patterns across different market cycles.

Why work with us?

Market Coverage & Data Types: - Full Cryptocurrency Data - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

Technical Excellence: - 99% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

Whether you're building algorithmic trading systems, conducting research, or creating visualization tools, our real-time and historical candlesticks from exchanges worldwide provide the reliable market data you need

This is a submission for Challenge #24 by Desights User

Click here for Challenge Details Note: This submission is in REVIEW state and is only accessible by Challenge Reviewers. So you might get errors when you try to download this asset directly from Ocean Market.

Submission Description

The cryptocurrency is not just a new form of value store and exchange, it is a revolution of its own. Beginning with its use to provide peer-to-peer payment network (or digital money) like Bitcoin, today’s cryptocurrency, or crypto for short, have evolved way beyond its humble start. Underlying the crypto world, there lies amazing technology called Blockchain. In simple term, blockchain is a decentralized and shared digital ledger that records transactions transparently and immutably across nodes in the network. Today’s Crypto community has slowly turned into industry of its own introducing a whole spectrum of enigmatic pattern, trends, and economic framework. In this report we will explore the trend, correlations, and dynamics related to 20 selected Crypto projects to derived insights and build models that predict the future of crypto. Key Findings: Our exploratory data analysis (EDA) underlines the span and general pattern of the Google Trend and Price related data. The data being analyzed span from the earliest entry on 2014-09-17 up to the latest on 2024-04-07. Time series decomposition was performed to extract trend, seasonal cycle, and residuals that made up the Google Interest Trend data. Analysis on the time-series decomposition help us distinguish cluster (a) with projects on the rise such as Solana, SingularityNet, Fetch.ai, and Ocean Protocol; and cluster (b) containing old project such as Dogecoin, Litecoin Filecoin, Tezos that are facing stagnant/downfall trend. Based on the Google Trends’s Correlation across projects we characterize Highly correlated projects cluster with correlation of about >0.8, and up to 0.92 with Bitcoin-Ethereum-Chainlink-Litecoin-Monero as the prominent group members. By introducing additional Google Trend data to understand Crypto Narrative, we worked toward building interpretable Event/Entity driving the market sentiment to explain our decomposed Time-series data. Based on Lag Characteristics in Correlation of Google Trend and Price/Trade Volume we highlight the tendency for the correlation to accumulate at longer lag time. Using NeuralProphet Framework we build forecasting models for Google Trend and Token Price for all 20 projects investigated here. We deployed these models to predict Trend and Price for all 20 projects for the following 52 weeks (up until April 2025). The developed models performed extraordinarily well with the R^2 value for most fall between the range of 0.75-0.88, while the highest goes up to 0.919. We highlight the correlation between Bitcoin, Ethereum, Ocean, with the rest of other projects. Ocean and Bitcoin, also Ethereum and Solana are the most correlated, both with correlation value of 0.89. The Kucoin’s KCS token is the least correlated with both Ocean and Bitcoin (0.31), while with Ethereum, Filecoin have the least correlation (0.41).

Conclusion This investigative study presents a thorough data analysis and exploration of correlations, time-lag characteristics, and time-series decomposition concerning Google Trends and token prices for 20 selected crypto/blockchain projects. By decomposing the time-series data, we have identified several clusters of crypto projects that is moving up in popularity such as Fetch.ai, SingularityNet, Solana, Ocean and some others that are stuck or in downfall trend, such as Dogecoin and Litecoin. Our analysis also includes a detailed exploration of various factors that contribute to understanding the data better, such as the incorporation of event-driven trends that explain outlier spikes in the residual data from our decomposed time-series.

In addition to our in-depth analysis, we build strong mini-library of forecasting models for predicting the Google Trend as well as price for the upcoming year with R^2 score that goes as high as 0.88 for most cases. Moreover, in order to demonstrate the utility of our exploratory data analysis tools and pipeline in full we also include all the results and analysis output produced in this work.

Looking ahead, we plan to expand our developed forecasting models and the presented data into a "CryptoForecast MiniApp." This application, based on the Streamlit package, will be hosted on a decentralized cloud (Akash) and connected to the Ocean marketplace and Predictoor, enhancing accessibility and utility for users interested in real-time data for Google Trends and Crypto Token Price forecasts.

CoinAPI provides all Digital Asset Data, making it easy to connect with the biggest trading platforms. We give traders and developers live market updates, including current prices, trading volumes, and past market performance, for both regular and futures trading.

Our APIs let you tap into detailed market data from major exchanges like OKX, Upbit, and Bitget. You get everything you need - live price updates, trading patterns, and market trends - all in one place. We deliver this data in ways that work best for you, helping you make smarter trading decisions.

Whether you're building a trading app, studying the market, or creating trading strategies, our data gives you a complete view of what's happening on these exchanges. We offer different ways to connect to our service (REST, WebSocket, and FIX), making it simple to build exactly what you need.

➡️ Why choose us?

📊 Market Coverage & Data Types: ◦ Real-time and historical data since 2010 (for chosen assets) ◦ Full order book depth (L2/L3) ◦ Trade-by-trade data ◦ OHLCV across multiple timeframes ◦ Market indexes (VWAP, PRIMKT) ◦ Exchange rates with fiat pairs ◦ Spot, futures, options, and perpetual contracts ◦ Coverage of 90%+ global trading volume

🔧 Technical Excellence: ◦ 99% uptime guarantee ◦ Multiple delivery methods: REST, WebSocket, FIX, S3 ◦ Standardized data format across exchanges ◦ Ultra-low latency data streaming ◦ Detailed documentation ◦ Custom integration assistance

CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our commitment to data quality and technical excellence makes us the trusted choice for the cryptocurrency market's data needs.

CoinAPI provides institutional-grade cryptocurrency market data, delivering real-time and historical information from 350+ global exchanges through a unified API infrastructure. Our comprehensive coverage includes Bitcoin price data, Ethereum metrics, and detailed market information for over 800 digital assets across both centralized (CEX) and decentralized exchanges (DEX).

Our system captures market movements down to the microsecond, so you never miss important price action. We standardize all this data to make it easy to use, no matter which exchanges you're watching. For clients seeking deeper insights, we also provide alternative data that reveals market dynamics beyond traditional price and volume metrics.

Why work with us?

Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Trade-by-trade data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

Banks, trading companies, and market researchers rely on our Bitcoin, Ethereum, and altcoin feeds for their trading strategies and market analysis. Whether you need detailed market depth information, historical price data, or real-time trading signals, we provide the solid foundation you need to participate confidently in the crypto markets.

Context:

This dataset is an extra updating dataset for the G-Research Crypto Forecasting competition.

Introduction

This is a daily updated dataset, automaticlly collecting market data for G-Research crypto forecasting competition. The data is of the 1-minute resolution, collected for all competition assets and both retrieval and uploading are fully automated. see discussion topic.

The Data

For every asset in the competition, the following fields from Binance's official API endpoint for historical candlestick data are collected, saved, and processed.

1. **timestamp** - A timestamp for the minute covered by the row.
2. **Asset_ID** - An ID code for the cryptoasset.
3. **Count** - The number of trades that took place this minute.
4. **Open** - The USD price at the beginning of the minute.
5. **High** - The highest USD price during the minute.
6. **Low** - The lowest USD price during the minute.
7. **Close** - The USD price at the end of the minute.
8. **Volume** - The number of cryptoasset u units traded during the minute.
9. **VWAP** - The volume-weighted average price for the minute.
10. **Target** - 15 minute residualized returns. See the 'Prediction and Evaluation section of this notebook for details of how the target is calculated.
11. **Weight** - Weight, defined by the competition hosts [here](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)
12. **Asset_Name** - Human readable Asset name.

Indexing

The dataframe is indexed by timestamp and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest-running pairs.

Usage Example

The following is a collection of simple starter notebooks for Kaggle's Crypto Comp showing PurgedTimeSeries in use with the collected dataset. Purged TimesSeries is explained here. There are many configuration variables below to allow you to experiment. Use either GPU or TPU. You can control which years are loaded, which neural networks are used, and whether to use feature engineering. You can experiment with different data preprocessing, model architecture, loss, optimizers, and learning rate schedules. The extra datasets contain the full history of the assets in the same format as the competition, so you can input that into your model too.

Baseline Example Notebooks:

• Neural Network Starter
• LightGBM Starter
• Catboost Starter
• XGBoost Starter
• TabNet Starter
• Reinforcement Learning (PPO) Starter

These notebooks follow the ideas presented in my "Initial Thoughts" here. Some code sections have been reused from Chris' great (great) notebook series on SIIM ISIC melanoma detection competition here

Loose-ends:

This is a work in progress and will be updated constantly throughout the competition. At the moment, there are some known issues that still needed to be addressed:

• VWAP: - At the moment VWAP calculation formula is still unclear. Currently the dataset uses an approximation calculated from the Open, High, Low, Close, Volume candlesticks. [Waiting for competition hosts input]
• Target Labeling: There exist some mismatches to the original target provided by the hosts at some time intervals. On all the others - it is the same. The labeling code can be seen here. [Waiting for competition hosts] input]
• Filtering: No filtration of 0 volume data is taken place.

Example Visualisations

Opening price with an added indicator (MA50): https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt="">

Volume and number of trades: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

License

This data is being collected automatically from the crypto exchange Binance.