View daily updates and historical trends for Bitcoin Price. Source: CoinGecko. Track economic data with YCharts analytics.

This dataset is curated for those who are interested in predicting Bitcoin prices using historical data. It contains comprehensive information on Bitcoin's market behavior over time, including daily prices, trading volumes, and other relevant financial indicators. This dataset can be used to develop and test predictive models, analyze trends, and gain insights into the cryptocurrency market.

Features: Date: The date corresponding to each entry. Open: The opening price of Bitcoin for the given date. High: The highest price reached by Bitcoin on the given date. Low: The lowest price reached by Bitcoin on the given date. Close: The closing price of Bitcoin for the given date. Volume: The total volume of Bitcoin traded on the given date. Market Cap: The total market capitalization of Bitcoin on the given date. Adjusted Close: The closing price adjusted for any dividends or stock splits. Usage: This dataset can be used for various purposes, including:

Time Series Analysis: Understanding how Bitcoin prices fluctuate over time. Predictive Modeling: Building models to predict future prices based on historical data. Market Research: Analyzing trends and patterns in the cryptocurrency market.

Dataset

This dataset was created by PurplePhoenix

Released under CC0: Public Domain

Contents

Bitcoin price data for 2025-11-11 including currency, value, high, low, open, close, and percentage difference.

Historical Bitcoin to USD Price Dataset (Up to 01.09.2023)

Description: Unlock valuable insights into the dynamic world of cryptocurrency with our comprehensive Historical Bitcoin to USD Price Dataset. This meticulously curated dataset spans from the inception of Bitcoin up until September 1st, 2023, offering a deep dive into the evolution of its market value over time.

Comprising meticulously collected and cleaned data, this dataset empowers researchers, analysts, and enthusiasts to explore the nuances of Bitcoin's price trends, market fluctuations, and potential patterns. Whether you're an experienced data scientist seeking to uncover intricate correlations or a curious novice eager to understand Bitcoin's journey, this dataset provides an invaluable resource.

Key Features:

Time Frame: Historical data ranging from the earliest Bitcoin prices to September 1st, 2023.
Granularity: Daily price points capturing the nuances of price fluctuations over the years.
Market Dynamics: Explore the impact of major events on Bitcoin's price, including halving events, regulatory developments, and macroeconomic shifts.
Research-Ready: Cleaned and pre-processed data to minimize hassle and maximize research efficiency.
Versatile Usage: Suitable for time series analysis, predictive modeling, data visualization, and more.
Format: CSV files for seamless integration into various data analysis tools and programming languages.

Whether you're building predictive models, conducting market research, or seeking historical context for your crypto-related endeavors, this dataset equips you with the tools to derive meaningful insights from Bitcoin's fascinating journey to date. Embark on your data-driven exploration today.

(Note: The actual dataset content and structure details need to be prepared according to your data and specifications.)

Bitcoin 2050 monthly price prediction dataset with minimum and maximum values for each month.

Based on professional technical analysis and AI models, deliver precise price‑prediction data for Bitcoin on 2025-10-31. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

I am a new developer and I would greatly appreciate your support. If you find this dataset helpful, please consider giving it an upvote!

Key Features:

Complete 1h Data: Raw 1h historical data from multiple exchanges, covering the entire trading history of BTCUSD available through their API endpoints. This dataset is updated daily to ensure up-to-date coverage.

Combined Index Dataset: A unique feature of this dataset is the combined index, which is derived by averaging all other datasets into one, please see attached notebook. This creates the longest continuous, unbroken BTCUSD dataset available on Kaggle, with no gaps and no erroneous values. It gives a much more comprehensive view of the market i.e. total volume across multiple exchanges.

Superior Performance: The combined index dataset has demonstrated superior 'mean average error' (MAE) metric performance when training machine learning models, compared to single-source datasets by a whole order of MAE magnitude.

Unbroken History: The combined dataset's continuous history is a valuable asset for researchers and traders who require accurate and uninterrupted time series data for modeling or back-testing.

https://i.imgur.com/OVOyF5A.png" alt="BTCUSD Dataset Summary">

https://i.imgur.com/6hxG2G3.png" alt="Combined Dataset Close Plot"> This plot illustrates the continuity of the dataset over time, with no gaps in data, making it ideal for time series analysis.

Included Resources:

Two Notebooks:

Dataset Usage and Diagnostics: This notebook demonstrates how to use the dataset and includes a powerful data diagnostics function, which is useful for all time series analyses.

Aggregating Multiple Data Sources: This notebook walks you through the process of combining multiple exchange datasets into a single, clean dataset. (Currently unavailable, will be added shortly)

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

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.

This dataset contains the predicted prices of the asset American Bitcoin over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This is the market data of Bitcoin in terms of price and volume from August 2015 to August 2021. The time interval of sampling is selected as four-hour, that is to say, we choose every kind of price and volume every of four-hour as the original data. The original market data of Bitcoin are obtained from Poloniex, one of the most active crypto-asset exchanges. Download link on XBlock: http://xblock.pro/#/dataset/5

This dataset contains the predicted prices of the asset Book Of Bitcoin over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Subtitle:

Comprehensive Bitcoin Hourly Trading Dataset: 2017–2024

Description:

This dataset offers detailed hourly trading data for Bitcoin (BTC-USD), covering the period from August 17, 2017, to December 25, 2024. It is sourced from Binance, one of the most prominent cryptocurrency exchanges, and is designed to provide a granular view of Bitcoin's market activity over several years.

Dataset Highlights:

• Timeframe: Over seven years of hourly data for in-depth analysis of market trends.
• OHLC Data: Includes Open, High, Low, and Close prices, enabling detailed candlestick analysis.
• Trading Volume: Captures the total traded volume for each hour, aiding in liquidity analysis.
• Quote Asset Volume: Represents the traded volume in USD equivalent, facilitating fiat comparisons.
• Number of Trades: The count of trades executed within each hour, offering insights into market activity.
• Taker Buy Base/Quote Volumes: Differentiates between aggressive (taker) buy orders in both Bitcoin and USD equivalents.
• Close Time: Marks the precise end of each hourly interval for temporal accuracy.

Applications:

This dataset is an excellent resource for:
- Time-Series Analysis: Understanding long-term and short-term market trends.
- Machine Learning Models: Training models for price prediction, anomaly detection, or volatility analysis.
- Algorithmic Trading: Building and backtesting trading strategies.
- Market Research: Analyzing Bitcoin's market dynamics, trading behavior, and historical performance.

The dataset is particularly useful for crypto enthusiasts, data scientists, and financial analysts seeking to explore the nuances of Bitcoin's price movements and trading activity over time.

Ethereum's price history suggests that that crypto was worth more in 2025 than during late 2021, although nowhere near the highest price recorded. Much like Bitcoin (BTC), the price of ETH went up in 2021 but for different reasons altogether: Ethereum, for instance, hit the news when a digital art piece was sold as the world's most expensive NFT for over 38,000 ETH - or 69.3 million U.S. dollars. Unlike Bitcoin, of which the price growth was fueled by the IPO of the U.S.'s biggest crypto trader, Coinbase, the rally on Ethereum came from technological developments that caused much excitement among traders. First, the so-called 'Berlin update' rolled out on the Ethereum network in April 2021, an update that would eventually lead to the Ethereum Merge in 2022 and reduced ETH gas prices - or reduced transaction fees. The collapse of FTX in late 2022, however, changed much for the cryptocurrency. As of November 13, 2025, Ethereum was worth 3,409.61 U.S. dollars - significantly less than the 4,400 U.S. dollars by the end of 2021.Ethereum's future and the DeFi industryPrice developments on Ethereum are difficult to predict but cannot be seen without the world of DeFi, or decentralized finance. This industry used technology to remove intermediaries between parties in a financial transaction. One example includes crypto wallets such as Coinbase Wallet that grew in popularity recently, with other examples including smart contractor Uniswap, Maker (responsible for stablecoin DAI), moneylender Dharma and market protocol Compound. Ethereum's future developments are tied with this industry: Unlike Bitcoin and Ripple, Ethereum is technically not a currency but an open-source software platform for blockchain applications, with Ether being the cryptocurrency that is used inside the Ethereum network. Essentially, Ethereum facilitates DeFi, meaning that if DeFi does well, so does Ethereum.NFTs: the most well-known application of EthereumNFTs or non-fungible tokens, grew nearly tenfold between 2018 and 2020, as can be seen in the market cap of NFTs worldwide. These digital blockchain assets can essentially function as a unique code connected to a digital file, allowing to distinguish the original file from any potential copies. This application is especially prominent in crypto art, although there are other applications: gaming, sports, and collectibles are other segments where NFT sales occur.

This dataset contains the predicted prices of the asset Mining Bitcoin over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Crypto Charts

This dataset is a collection of a sample of images from tweets that I scraped using my Discord bot that keeps track of financial influencers on Twitter. The data consists mainly of images that are cryptocurrency charts. This dataset can be used for a wide variety of tasks, such as image classification or feature extraction.

  FinTwit Charts Collection

This dataset is part of a larger collection of datasets, scraped from Twitter and labeled by a human (me).… See the full description on the dataset page: https://huggingface.co/datasets/StephanAkkerman/crypto-charts.

The selected variables were chosen base on the literature for time series of stock prices prediction or Forex (currency) prediction. The analises test only variables associated with the price like Bitcoin close, open, high and low price and volumn (for one representative exchange). Like Chen and Bahar, we used moving average of the variables to generate new variables in order to capture other information that could be hidden due the high noise generate characteristic of a high volatile asset. Also, like \cite{Bahar2016}, we use Gold an Death Cross, that are very common data for technical analysis.

Prices for BTCBRL Bitcoin Brazilian Real including live quotes, historical charts and news. BTCBRL Bitcoin Brazilian Real was last updated by Trading Economics this December 1 of 2025.

Contains daily Bitcoin prices (Open, High, Low, Close, Volume). Includes Crypto Fear & Greed Index, showing market sentiment. Useful for crypto trading strategies, ML models & finance research.