Crypto 24h trading volume declined as 2023 progressed, with figures being ********* lower than in 2022. The decline follows after Binance - one 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 contrasts with 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 2023 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. As of May **, 2025, the 24h trading volume stands at *****.

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 **, 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 ** 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.

Crypto trader Binance ranked among the largest cryptocurrency exchangers in the world in 2024, with trading volume that was about four 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.

OHLCV is an abbreviation for the five critical data points: Open, High, Low, Close, and Volume. It refers to the key points in analyzing an asset such as Bitcoin (BTC) in the market over a specified time. The dataset is important for not only traders and analysts but also for data scientists who work on BTC market prediction using artificial intelligence. The 'Open' and 'Close' prices represent the starting and ending price levels, while the 'High' and 'Low' are the highest and lowest prices during that period (a daily time frame (24h)). The 'Volume' is a measure of the total number of trades. This dataset provides five OHLCV data columns for BTC along with a column called "Next day close price" for regression problems and machine learning applications. The dataset includes daily information from 1/1/2012 to 8/6/2022.

The dataset used in this research is a historical record of Bitcoin, Ethereum, and Litecoin’s daily trading activity, containing essential financial metrics for each date. This sample includes the following columns: Date: The specific day of each recorded entry, showing a continuous timeline. Open: The price of currencies at the start of the trading day. High: The highest price of currencies reached during the day. Low: The lowest price of currencies traded throughout the day. Close: The closing price of the currencies at the end of the trading day. Volume: The total trading volume, indicating the number of currencies traded that day in units. Market Cap: The total market capitalization of currencies, calculated as the total supply multiplied by the closing price.

This dataset contains a comprehensive collection of historical price records for the top 1000 cryptocurrencies. The data in this dataset is updated daily, providing a reliable and up-to-date source of information for cryptocurrency traders, researchers, and enthusiasts.

Each file in the dataset includes the following columns: date, open price, high price, low price, closing price, adjusted closing price, and trading volume. These columns provide a detailed picture of the daily price movements and trading activity of each cryptocurrency in the dataset.

The "date" column indicates the day on which the price data was recorded, while the "open" column provides the opening price of the cryptocurrency for that day. The "high" and "low" columns indicate the highest and lowest prices of the cryptocurrency on that day, respectively. The "close" column represents the closing price of the cryptocurrency on that day, while the "adjusted close" column takes into account any dividends or other corporate actions that may have affected the price. Finally, the "volume" column shows the trading volume of the cryptocurrency on that day.

With this dataset, users can analyze and visualize the performance of individual cryptocurrencies, compare them to one another, and track trends over time. The data is ideal for use in machine learning models, predictive analytics, and other data-driven applications.

This dataset provides daily historical data for 10 major cryptocurrencies. Each row represents a single trading day, covering the maximum range that was available at the time of extraction.

Key Features

Closing Price and Volume: For each cryptocurrency, two columns are provided:

xxx_closing_price – The daily closing price in USD

xxx_volume – The daily trading volume

Date Format: Each date is listed in “dd/mm/yy” format for easy reading.

Top 10 Cryptocurrencies: Includes well-known coins such as Bitcoin, Ethereum, and others with high market capitalization.

• Potential Uses

1.Exploratory data analysis or visualizations of crypto market trends

2.Time-series modeling, forecasting, or anomaly detection

3.Comparative studies between multiple cryptocurrencies

Ethereum trading volume more than doubled on May 19, 2021, compared to the previous day, following news that 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.

Monero was processed on the blockchain roughly ****** times per day in February 2025. Monero or XMR focuses on digital payments on the blockchain, but ranks as a mid-cap cryptocurrency. Its overall market position is deemed much smaller than the likes of Bitcoin or Ethereum.

Description

This dataset, titled "Cryptocurrency Market Sentiment & Prediction," is a synthetic collection of real-time crypto market data designed for advanced analysis and predictive modeling. It captures a comprehensive range of features including price movements, social sentiment, news impact, and trading patterns for 10 major cryptocurrencies. Tailored for data scientists and analysts, this dataset is ideal for exploring market volatility, sentiment analysis, and price prediction, particularly in the context of significant events like the Bitcoin halving in 2024 and increasing institutional adoption.

Key Features Overview: - Price Movements: Tracks current prices and 24-hour price change percentages to reflect market dynamics. - Social Sentiment: Measures sentiment scores from social media platforms, ranging from -1 (negative) to 1 (positive), to gauge public perception. - News Sentiment and Impact: Evaluates sentiment from news sources and quantifies their potential impact on market behavior. - Trading Patterns: Includes data on 24-hour trading volumes and market capitalization, crucial for understanding market activity. - Technical Indicators: Features metrics like the Relative Strength Index (RSI), volatility index, and fear/greed index for in-depth technical analysis. - Prediction Confidence: Provides a confidence score for predictive models, aiding in assessing forecast reliability.

Purpose and Applications: - Perfect for machine learning tasks such as price prediction, sentiment-price correlation studies, and volatility classification. - Supports time series analysis for forecasting price movements and identifying volatility clusters. - Valuable for research into the influence of social media and news on cryptocurrency markets, especially during high-impact events.

Dataset Scope: - Covers a simulated 30-day period, offering a snapshot of market behavior under varying conditions. - Focuses on major cryptocurrencies including Bitcoin, Ethereum, Cardano, Solana, and others, ensuring relevance to current market trends.

Dataset Structure Table:

Dataset Statistics Table:

This dataset is a powerful resource for machine learning projects, sentiment analysis, and crypto market research, providing a robust foundation for AI/ML model development and testing.

BlackRock's Bitcoin ETF received around 15 billion dollars' worth of investment inflow since January 2024, whereas Grayscale lost 16 billion. This is according to a day-to-day investment flow timeline involving 10 of the 11 Bitcoin ETFs that got approved by the U.S. Securities and Exchange Commission in early 2024. The highest inflow towards these ETFs occurred in March, coinciding with the Bitcoin price's all-time high and a general increase in Bitcoin trading volume. Note that the figures here do not cover all Bitcoin ETFs found throughout the world. That said, the United States investment vehicles tend to be the largest and most impactful ones. In April 2024, Hong Kong’s Securities and Futures Commission (SFC) approved three ETFs, but their potential impact is not yet clear - if only because mainland China does not allow for crypto trading after the country banned crypto mining in 2021.

Tether trading volume reached over several billions of U.S. dollars every single day, but was especially high in late May 2021 and early September 2021. The trade spike on May 19, 2021, could be attributed to news that day that China was to ban crypto services - which led to significant declines in market cap across the entire crypto market. The trading peak on ***********, however, does not have as clear of a potential cause. One day before, the Canadian region of Ontario banned crypto platforms from using Tether altogether. Additionally, the price of Tether was briefly below one U.S. dollar - which may have caused people to buy the stablecoin.

Cryptocurrency options markets have grown increasingly sophisticated, requiring reliable data infrastructure to support trading and analysis. Our platform gives you direct access to comprehensive crypto options data through straightforward API connections.

We capture the complete options chain across major crypto derivatives exchanges, delivering real-time and historical cryptocurrency market data that shows exactly what's happening in these complex markets. Each options contract is tracked with precision - strikes, expiration dates, premiums, open interest, and volume metrics all accessible through our standardized data feeds.

The data is available through multiple integration methods depending on your needs. Use our REST API for flexible queries and historical analysis, WebSocket for real-time market monitoring, or FIX protocol for institutional-grade connectivity with minimal latency.

Why work with us?

Market Coverage & Data Types: - 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

When options traders need reliable market intelligence, they don't leave it to chance. That's why trading desks across five continents, quantitative hedge funds managing billions, and fintech innovators building tomorrow's trading platforms all rely on our data infrastructure. We've established ourselves as a dependable source in a market where accuracy isn't just preferred - it's essential. While others promise comprehensive coverage, we deliver it consistently, trade after trade, day after day.

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

On May 19, 2021, the daily trading volume of cryptocurrencies on South Korean crypto exchanges amounted to approximately **** trillion South Korean won, surpassing the value of stocks traded on the South Korean stock market. Cryptocurrencies have become very popular investments among South Koreans. Young people in particular have been investing heavily in cryptocurrencies recently.

This dataset contains historical price data for the top global cryptocurrencies, sourced from Yahoo Finance. The data spans the following time frames for each cryptocurrency:

BTC-USD (Bitcoin): From 2014 to December 2024 ETH-USD (Ethereum): From 2017 to December 2024 XRP-USD (Ripple): From 2017 to December 2024 USDT-USD (Tether): From 2017 to December 2024 SOL-USD (Solana): From 2020 to December 2024 BNB-USD (Binance Coin): From 2017 to December 2024 DOGE-USD (Dogecoin): From 2017 to December 2024 USDC-USD (USD Coin): From 2018 to December 2024 ADA-USD (Cardano): From 2017 to December 2024 STETH-USD (Staked Ethereum): From 2020 to December 2024

Key Features:

Date: The date of the record. Open: The opening price of the cryptocurrency on that day. High: The highest price during the day. Low: The lowest price during the day. Close: The closing price of the cryptocurrency on that day. Adj Close: The adjusted closing price, factoring in stock splits or dividends (for stablecoins like USDT and USDC, this value should be the same as the closing price). Volume: The trading volume for that day.

Data Source:

The dataset is sourced from Yahoo Finance and spans daily data from 2014 to December 2024, offering a rich set of data points for cryptocurrency analysis.

Use Cases:

Market Analysis: Analyze price trends and historical market behavior of leading cryptocurrencies. Price Prediction: Use the data to build predictive models, such as time-series forecasting for future price movements. Backtesting: Test trading strategies and financial models on historical data. Volatility Analysis: Assess the volatility of top cryptocurrencies to gauge market risk. Overview of the Cryptocurrencies in the Dataset: Bitcoin (BTC): The pioneer cryptocurrency, often referred to as digital gold and used as a store of value. Ethereum (ETH): A decentralized platform for building smart contracts and decentralized applications (DApps). Ripple (XRP): A payment protocol focused on enabling fast and low-cost international transfers. Tether (USDT): A popular stablecoin pegged to the US Dollar, providing price stability for trading and transactions. Solana (SOL): A high-speed blockchain known for low transaction fees and scalability, often seen as a competitor to Ethereum. Binance Coin (BNB): The native token of Binance, the world's largest cryptocurrency exchange, used for various purposes within the Binance ecosystem. Dogecoin (DOGE): Initially a meme-inspired coin, Dogecoin has gained a strong community and mainstream popularity. USD Coin (USDC): A fully-backed stablecoin pegged to the US Dollar, commonly used in decentralized finance (DeFi) applications. Cardano (ADA): A proof-of-stake blockchain focused on scalability, sustainability, and security. Staked Ethereum (STETH): A token representing Ethereum staked in the Ethereum 2.0 network, earning staking rewards.

This dataset provides a comprehensive overview of key cryptocurrencies that have shaped and continue to influence the digital asset market. Whether you're conducting research, building prediction models, or analyzing trends, this dataset is an essential resource for understanding the evolution of cryptocurrencies from 2014 to December 2024.

The Cryptocurrency Prices dataset includes prices and market capitalization data for popular cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, and Ripple. The data covers daily prices and market capitalization from the inception of each cryptocurrency up to the present day.

The dataset is well-suited for exploratory data analysis, time series analysis, and predictive modeling tasks related to cryptocurrencies. It can be used to examine historical price trends, correlations between different cryptocurrencies, and the overall market capitalization of the cryptocurrency market. Additionally, the data can be used to build models that predict future prices or market capitalization> of specific cryptocurrencies.

Each row of the dataset represents a single day of trading for a particular cryptocurrency. The columns of the dataset include the following:

• Cryptocurrency Name
• Open Price: the opening price of the cryptocurrency on the trading day
• Volume: the volume of the cryptocurrency traded on the trading day
• Market Cap: the total market capitalization of the cryptocurrency on the trading day
• CMC Rank
• Dominance
• Year till date Price Change Percentage

The dataset includes data for multiple cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, Ripple, and many others. Each cryptocurrency has its own set of data columns in the dataset.

This dataset can be helpful for data analysts, data scientists, traders, investors, and anyone interested in exploring the cryptocurrency market. It is intended to facilitate research and analysis of the market and the underlying factors affecting various cryptocurrency prices and market capitalization.

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

As of April 30, 2021, the average daily trading volume of cryptocurrencies on South Korean crypto exchanges amounted to about 12.57 trillion South Korean won, up from about 976 billion South Korean won in the previous year. Cryptocurrencies have recently become very popular investments among South Koreans.

The longest Bitcoin price series on Kaggle. Collected from various sources - so you don't have to.

Open, High, Low, Close prices (in US Dollars) and trading Volume data.

Is bitcoin a scam or the new gold? Is it a good asset for investments? Can you mine the seasonality patterns? Can you predict the price of bitcoin next year? Would it help to augment this series with exogeneous data, for instance, summary of SEC conferences or Elon Musk's tweets posts? Can the bitcoin price be handy to predict other events, for instance, the sentiment in the news? Let's find out!

Sources 7.2010-09.2014: Investing.com 09.2014-03.2014: YahooFinance API (with yfinance)