Introduction: The "Cryptocurrency Price Analysis Dataset: BTC, ETH, XRP, LTC (2018-2023)" is a comprehensive dataset that captures the daily price movements of six popular cryptocurrencies. It covers a period from January 1, 2018, to May 31, 2023, providing a valuable resource for researchers, analysts, and enthusiasts interested in studying the historical price behavior of these digital assets.

Description: This dataset contains a wealth of information for six major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and Litecoin (LTC). The data spans a time frame of over five years, enabling users to explore long-term trends, analyze volatility patterns, and gain insights into market dynamics.

Columns:

1. Crypto: This column specifies the name of the cryptocurrency (e.g., BTC, ETH, XRP, LTC).
2. Date: The date on which the price data was recorded.
3. Open: The opening price of the cryptocurrency at the beginning of the day.
4. High: The highest price reached by the cryptocurrency during the day.
5. Low: The lowest price reached by the cryptocurrency during the day.
6. Close: The closing price of the cryptocurrency at the end of the day.

Use Cases: The dataset offers numerous possibilities for analysis and research within the field of cryptocurrencies. Here are a few potential use cases:

1. Price Analysis: Researchers can investigate the historical price movements of each cryptocurrency to identify trends, patterns, and potential correlations between different assets.
2. Volatility Study: The dataset enables the study of volatility in cryptocurrency markets, helping users understand the frequency and magnitude of price fluctuations.
3. Market Performance: Analysts can analyze the performance of individual cryptocurrencies over time, comparing returns and risk measures to assess their investment potential.
4. Trading Strategies: Traders can utilize the dataset to develop and backtest trading strategies based on technical indicators, price patterns, or machine learning algorithms.
5. Sentiment Analysis: Combine this dataset with external sentiment data to explore the relationship between market sentiment and cryptocurrency price movements. By sharing this dataset on Kaggle, you are providing a valuable resource to the data science community, encouraging collaborative research, and enabling the development of innovative models and solutions within the cryptocurrency domain.

Please note that this dataset is for educational and research purposes only and should not be used for making financial decisions without thorough analysis and consultation with financial professionals.

snapshot-tab-pane Cryptocurrency Market Size 2026-2030The cryptocurrency market size is valued to increase by USD 137.68 billion, at a CAGR of 25.1% from 2025 to 2030. Mainstream integration of tokenized assets and on-chain finance will drive the cryptocurrency market.Major Market Trends & InsightsNorth America dominated the market and accounted for a 34.4% growth during the forecast period.By Type - Bitcoin segment was valued at USD 33.53 billion in 2024By Application - Trading and investment segment accounted for the largest market revenue share in 2024Market Size & ForecastMarket Opportunities: USD 171.18 billionMarket Future Opportunities: USD 137.68 billionCAGR from 2025 to 2030 : 25.1%Market SummaryThe cryptocurrency market is undergoing a fundamental maturation phase, shifting from a focus on speculative retail trading toward deep-seated institutional integration and comprehensive regulatory oversight. This evolution is driven by the legitimization of digital assets, catalyzed by the successful launch of spot exchange-traded products and the subsequent entry of major asset managers.As global financial infrastructure adopts distributed ledger technology (DLT), the utility of cryptocurrencies has expanded beyond simple value storage to include programmable on-chain finance, cross-border settlement through peer-to-peer transactions, and the tokenization of real-world assets.For instance, a global logistics firm can leverage blockchain technology to create an immutable record of its supply chain, enhancing transparency and reducing fraud by over 25%. This transition necessitates high-grade technical interoperability and the development of robust institutional-grade custody solutions.The rise of decentralized finance (DeFi) protocols, supported by expanding stablecoin reserves, challenges conventional banking models by offering permissionless lending and borrowing. However, this segment remains under scrutiny regarding smart contract vulnerabilities and the need for scalable layer-2 scaling solutions to handle increasing transaction volumes without compromising the core tenets of decentralization.What will be the Size of the Cryptocurrency Market during the forecast period? Get Key Insights on Market Forecast (PDF) Request Free SampleHow is the Cryptocurrency Market Segmented?The cryptocurrency industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2026-2030, as well as historical data from 2020-2024 for the following segments.TypeBitcoinEthereumOthersApplicationTrading and investmentPayments and remittancesOthersEnd-userRetailInstitutionalGeographyNorth AmericaUSCanadaMexicoAPACIndiaIndonesiaSouth KoreaEuropeUKGermanyFranceMiddle East and AfricaSouth AfricaUAESaudi ArabiaSouth AmericaBrazilArgentinaColombiaRest of World (ROW)By Type InsightsThe bitcoin segment is estimated to witness significant growth during the forecast period.The cryptocurrency market segmentation reflects a maturing ecosystem. Bitcoin maintains its position as the preeminent asset, primarily serving as a digital store of value and a hedge against macroeconomic volatility.The institutionalization of bitcoin has reached an inflection point, transitioning from a speculative retail instrument to a foundational component of diversified investment portfolios, with North America now commanding over 34% of institutional capital flows.This shift is attributed to the proliferation of regulated spot exchange-traded funds (ETFs). The integration of bitcoin into national treasury strategies and the establishment of a strategic bitcoin reserve in some nations mark a significant evolution.As the network continues to undergo technological refinements, such as improvements in layer-2 scaling solutions, its capacity for high-volume settlement and on-chain finance is expected to expand, reinforcing its dominance as a driver of market liquidity and investor sentiment.The reliance on proof-of-work protocols, however, faces scrutiny under new environmental transparency mandates. Request Free SampleThe Bitcoin segment was valued at USD 33.53 billion in 2024 and showed a gradual increase during the forecast period. Request Free SampleRegional AnalysisNorth America is estimated to contribute 34.4% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. See How Cryptocurrency Market Demand is Rising in North America Request Free SampleThe geographic landscape of the cryptocurrency market is diverse and dynamic, with different regions exhibiting unique drivers and regulatory approaches. In North America, institutional adoption leads, with a

The Cryptocurrency Market Report is Segmented by Transaction Purpose (Payments & Remittances, Trading and Investment Transfers, and More), User Type (Retail, Institutional), Cryptocurrency (BTC, ETH, Ripple, Bitcoin Cash, Cardano, Others), and Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa). The Market Forecasts are Provided in Terms of Value (USD).

This dataset contains structured cryptocurrency market data collected using API sources. It includes information such as coin ID, symbol, name, current price etc. The dataset is suitable for data analysis, visualization, financial modeling, and machine learning applications.

The cryptocurrency market size is predicted to reach $3.33 billion in 2024 to $11.07 billion by 2035, growing at a CAGR of 11.54% from 2024 to 2035

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.

Context:

I gathered around 4k data by extracting information from Coingecko and created a CSV file. If anyone is interested, they can review the file on this GitHub link.

Objective & Inspiration:

Analyzing cryptocurrencies is essential for making informed decisions in a rapidly evolving and complex ecosystem. It allows stakeholders to navigate risks, seize opportunities, and contribute to the responsible development of this innovative space. Later i utilized the scraped data to understand the following Trends and relations using Tableau Dashboard:

Performance Trends: Visualize and compare the performance trends (1h, 24h, 7d, 30d) of different cryptocurrencies based on their respective Coin Names.

Market Metrics Overview: Create comprehensive visualizations comparing Top Coin Names against essential metrics, including Price, 24-hour Volume, Circulating Supply, and Market Cap.

Aggregate Metrics: Calculate and visualize aggregate metrics such as Total Market Cap, Total 24-hour Volume, and Total Circulating Supply across all cryptocurrencies.

Columns Name of the data :

Rank: The "Rank" column indicates the ranking of each cryptocurrency based on certain criteria. It helps users understand the relative standing of each coin in comparison to others.

Coin Name: The "Coin Name" column contains the names of various cryptocurrencies. Each row represents a different digital asset, such as Bitcoin, Ethereum, or other altcoins.

Symbol: The "Symbol" column typically represents the shorthand symbol or abbreviation associated with each cryptocurrency. For example, the symbol for Bitcoin is "BTC," and for Ethereum, it's "ETH."

Price: The "Price" column shows the current or latest market price of each cryptocurrency. It is the value at which the coin is traded on the market.

1h, 24h, 7d, 30d: These columns ("1h," "24h," "7d," "30d") represent the percentage change in the price of each cryptocurrency over different time intervals. They provide insights into short-term and long-term price fluctuations.

24h Volume: The "24h Volume" column indicates the total trading volume (in terms of the cryptocurrency) over the last 24 hours. It reflects the total value of all transactions within that time frame.

Circulating Supply: The "Circulating Supply" column specifies the number of units of a cryptocurrency that are currently available and in circulation. It helps assess the liquidity and availability of the cryptocurrency.

Total Supply: The "Total Supply" column represents the total number of units of a cryptocurrency that will ever exist. It provides information about the maximum supply limit of the cryptocurrency.

Market Cap: The "Market Cap" column represents the total market capitalization of each cryptocurrency. It is calculated by multiplying the current price by the circulating supply and provides an overall valuation of the cryptocurrency in the market.

Visualization

Tableau visualization of this dataset can also be found in this link

The size of the U.S. Cryptocurrency Market market was valued at USD 28.09 billion in 2023 and is projected to reach USD 62.10 billion by 2032, with an expected CAGR of 12.0 % during the forecast period.

Discover the explosive growth of the cryptocurrency market! This in-depth analysis projects a $2 trillion valuation by 2025, with a 15% CAGR through 2033. Learn about key drivers, restraints, and leading companies like Coinbase and Binance, shaping the future of digital finance.

The United States Cryptocurrency Market Report is Segmented by Component (Wallet Providers, Mining Hardware, and More), Cryptocurrency Type (Bitcoin, Ethereum, Stablecoins, Altcoins, Other Types), Transaction Type (P2P Transfers, Retail Payments, Defi Transactions, and More), End User (Individuals, Smes, Large Enterprises, Institutional Investors, Government), and Geography. Market Forecasts are Provided in Value (USD).

View daily updates and historical trends for Bitcoin Market Cap. Source: Blockchain.com. Track economic data with YCharts analytics.

Comprehensive dataset covering cryptocurrency adoption, regulation, and market trends across Central & Eastern Europe

The Cryptocurrency Market size was valued at USD XX billion in 2023 and is projected to reach USD XXX billion by 2032, exhibiting a CAGR of 12.5 % during the forecasts period.

It is estimated that the cumulative market cap of cryptocurrencies increased in early 2023 after the downfall in November 2022 due to FTX. That value declined in the summer of 2023, however, as international uncertainty grew over a potential recession. Bitcoin's market cap comprised the majority of the overall market capitalization. What is market cap? Market capitalization is a financial measure typically used for publicly traded firms, computed by multiplying the share price by the number of outstanding shares. However, cryptocurrency analysts calculate it as the price of the virtual currencies times the number of coins in the market. This gives cryptocurrency investors an idea of the overall market size, and watching the evolution of the measure tells how much money is flowing in or out of each cryptocurrency. Cryptocurrency as an investment The price of Bitcoin has been erratic, and most other cryptocurrencies follow its larger price swings. This volatility attracts investors who hope to buy when the price is low and sell at its peak, turning a profit. However, this does little for price stability. As such, few firms accept payment in cryptocurrencies. As of October 01, 2025, the cumulative market cap of cryptocurrencies reached a value of *******.

Explosive growth in the crypto token market, projected at $2 trillion in 2025 and a 25% CAGR through 2033. Explore market trends, segmentation (NFTs, DeFi), key players (Bitcoin, Ethereum), and regional analysis. Invest wisely in this dynamic market.

Authors, through Twitter API, collected this database over eight months. These data are tweets of over 50 experts regarding market analysis of 40 cryptocurrencies. These experts are known as influencers on social networks such as Twitter. The theory of Behavioral economics shows that the opinions of people, especially experts, can impact the stock market trend (here, cryptocurrencies). Existing databases often cover tweets related to one or more cryptocurrencies. Also, in these databases, no attention is paid to the user's expertise, and most of the data is extracted using hashtags. Failure to pay attention to the user's expertise causes the irrelevant volume to increase and the neutral polarity to increase considerably. This database has a main table named "Tweets1" with 11 columns and 40 tables to separate comments related to each cryptocurrency. The columns of the main table and the cryptocurrency tables are explained in the attached document. Researchers can use this dataset in various machine learning tasks, such as sentiment analysis and deep transfer learning with sentiment analysis. Also, this data can be used to check the impact of influencers' opinions on the cryptocurrency market trend. The use of this database is allowed by mentioning the source. Also, in this version, we have added the excel version of the database and Python code to extract the names of influencers and tweets. in Version(3): In the new version, three datasets related to historical prices and sentiments related to Bitcoin, Ethereum, and Binance have been added as Excel files from January 1, 2023, to June 12, 2023. Also, two datasets of 52 influential tweets in cryptocurrencies have been published, along with the score and polarity of sentiments regarding more than 300 cryptocurrencies from February 2021 to June 2023. Also, two Python codes related to the sentiment analysis algorithm of tweets with Python have been published. This algorithm combines RoBERTa pre-trained deep neural network and BiGRU deep neural network with an attention layer (see code Preprocessing_and_sentiment_analysis with python).

US Cryptocurrency Market, US Cryptocurrency Market Size, US Cryptocurrency Market Trends, US Cryptocurrency Market Forecast, US Cryptocurrency Market Risks, US Cryptocurrency Market Report, US Cryptocurrency Market Share

🚀 Top 50 Cryptocurrencies — Historical Market Data

⭐ Do upvote 👍 if you find this dataset helpful!
Your support motivates more high-quality open datasets for the community.

📊 Subtitle

Historical OHLCV Prices, Returns & Market Metrics for Leading Digital Assets

🧾 Dataset Description

This dataset provides clean, structured, and analysis-ready historical market data for the Top 50 cryptocurrencies, collected using Yahoo Finance (via yfinance).

It is designed for: - 📈 Exploratory Data Analysis (EDA) - ⏳ Time-Series Analysis - 🤖 Machine Learning & Forecasting - 📚 Academic & Educational Use - 💼 Financial & Crypto Market Research

The dataset includes daily OHLCV (Open, High, Low, Close, Volume) price data over the maximum available historical period for each cryptocurrency, enabling analysis of long-term trends, volatility, correlations, and market cycles.

All files are provided in CSV format, ensuring compatibility with Python, R, Excel, Power BI, Tableau, and other analytics tools.

🪙 Cryptocurrencies Included (Top 50)

The dataset covers major cryptocurrencies across multiple categories such as store-of-value assets, smart-contract platforms, DeFi tokens, Layer-2 solutions, and meme coins.

Examples include Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Solana (SOL), Cardano (ADA), XRP (XRP), Dogecoin (DOGE), Polygon (MATIC), Avalanche (AVAX), Polkadot (DOT), Chainlink (LINK), Uniswap (UNI), Shiba Inu (SHIB), Pepe (PEPE), and many more — 50 assets in total.

Each cryptocurrency is stored as an individual CSV file, allowing independent analysis or easy merging into a master dataset.

🧱 Dataset Structure

crypto_data/
├── bitcoin.csv
├── ethereum.csv
├── solana.csv
├── dogecoin.csv
├── ...
└── (50 CSV files in total)

📑 Column Descriptions

Each CSV file contains the following columns:

All prices are denominated in US Dollars (USD).

✨ Key Features

• Daily historical OHLCV data
• Covers top 50 cryptocurrencies by market relevance
• Clean, readable, and well-structured CSV files
• Ready for EDA, ML models, and forecasting
• Ideal for Kaggle notebooks and datasets

🎯 Use Cases

This dataset can be used for: - Cryptocurrency price trend analysis
- Volatility and risk modeling
- Correlation and portfolio analysis
- Time-series forecasting (ARIMA, Prophet, LSTM)
- Machine learning and deep learning experiments
- Teaching and academic research

📜 Data Source & License

• Source: Yahoo Finance (via yfinance)
• License: Provided for educational and research purposes
• Update Frequency: Static snapshot

⚠️ Notes

• Some cryptocurrencies may have shorter historical coverage depending on launch date
• Missing or zero values may appear in early trading periods
• Trading volume availability varies across assets and time

⭐ Why This Dataset Is Valuable

This dataset offers a standardized, long-term view of the cryptocurrency market, making it a strong resource for financial analytics, crypto economics, and data-driven market insights.

🙏 If this dataset helps your work, please consider upvoting 👍
It helps the Kaggle community and motivates future datasets.

Discover the explosive growth of the cryptocurrency exchange and app market, projected to reach $250 billion by 2033. This in-depth analysis covers market size, key drivers, trends, regional breakdowns (North America, Europe, Asia-Pacific), top companies (Coinbase, Binance, Kraken), and future forecasts. Learn about the challenges and opportunities in this dynamic sector.

Discover the booming digital and cryptocurrency market! Explore a comprehensive analysis revealing a $79 billion (2025) market projected for significant growth (3.8% CAGR) driven by DeFi, blockchain adoption, and institutional investment. Learn about key players, market trends, and challenges impacting this transformative sector.