The Bitcoin (BTC) price again reached an all-time high in 2025, as values exceeded over 123,352.5 USD on October 9, 2025. Price hikes in early 2025 were connected to the approval of Bitcoin ETFs in the United States, while previous hikes in 2021 were due to events involving Tesla and Coinbase, respectively. Tesla's announcement in March 2021 that it had acquired 1.5 billion U.S. dollars' worth of the digital coin, for example, as well as the IPO of the U.S.'s biggest crypto exchange, fueled mass interest. The market was noticeably different by the end of 2022, however, after another crypto exchange, FTX, filed for bankruptcy.Is the world running out of Bitcoin?Unlike fiat currency like the U.S. dollar - as the Federal Reserve can simply decide to print more banknotes - Bitcoin's supply is finite: BTC has a maximum supply embedded in its design, of which roughly 89 percent had been reached in April 2021. It is believed that Bitcoin will run out by 2040, despite more powerful mining equipment. This is because mining becomes exponentially more difficult and power-hungry every four years, a part of Bitcoin's original design. Because of this, a Bitcoin mining transaction could equal the energy consumption of a small country in 2021.Bitcoin's price outlook: a potential bubble?Cryptocurrencies have few metrics available that allow for forecasting, if only because it is rumored that only a few cryptocurrency holders own a large portion of the available supply. These large holders - referred to as 'whales'-are' said to make up two percent of anonymous ownership accounts, while owning roughly 92 percent of BTC. On top of this, most people who use cryptocurrency-related services worldwide are retail clients rather than institutional investors. This means outlooks on whether Bitcoin prices will fall or grow are difficult to measure, as movements from one large whale are already having a significant impact on this market.

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)

In March 2024 Bitcoin BTC reached a new all-time high with prices exceeding 73000 USD marking a milestone for the cryptocurrency market This surge was due to the approval of Bitcoin exchange-traded funds ETFs in the United States allowing investors to access Bitcoin without directly holding it This development increased Bitcoin’s credibility and brought fresh demand from institutional investors echoing previous price surges in 2021 when Tesla announced its 15 billion investment in Bitcoin and Coinbase was listed on the Nasdaq By the end of 2022 Bitcoin prices dropped sharply to 15000 USD following the collapse of cryptocurrency exchange FTX and its bankruptcy which caused a loss of confidence in the market By August 2024 Bitcoin rebounded to approximately 64178 USD but remained volatile due to inflation and interest rate hikes Unlike fiat currency like the US dollar Bitcoin’s supply is finite with 21 million coins as its maximum supply By September 2024 over 92 percent of Bitcoin had been mined Bitcoin’s value is tied to its scarcity and its mining process is regulated through halving events which cut the reward for mining every four years making it harder and more energy-intensive to mine The next halving event in 2024 will reduce the reward to 3125 BTC from its current 625 BTC The final Bitcoin is expected to be mined around 2140 The energy required to mine Bitcoin has led to criticisms about its environmental impact with estimates in 2021 suggesting that one Bitcoin transaction used as much energy as Argentina Bitcoin’s future price is difficult to predict due to the influence of large holders known as whales who own about 92 percent of all Bitcoin These whales can cause dramatic market swings by making large trades and many retail investors still dominate the market While institutional interest has grown it remains a small fraction compared to retail Bitcoin is vulnerable to external factors like regulatory changes and economic crises leading some to believe it is in a speculative bubble However others argue that Bitcoin is still in its early stages of adoption and will grow further as more institutions and governments recognize its potential as a hedge against inflation and a store of value 2024 has also seen the rise of Bitcoin Layer 2 technologies like the Lightning Network which improve scalability by enabling faster and cheaper transactions These innovations are crucial for Bitcoin’s wider adoption especially for day-to-day use and cross-border remittances At the same time central bank digital currencies CBDCs are gaining traction as several governments including China and the European Union have accelerated the development of their own state-controlled digital currencies while Bitcoin remains decentralized offering financial sovereignty for those who prefer independence from government control The rise of CBDCs is expected to increase interest in Bitcoin as a hedge against these centralized currencies Bitcoin’s journey in 2024 highlights its growing institutional acceptance alongside its inherent market volatility While the approval of Bitcoin ETFs has significantly boosted interest the market remains sensitive to events like exchange collapses and regulatory decisions With the limited supply of Bitcoin and improvements in its transaction efficiency it is expected to remain a key player in the financial world for years to come Whether Bitcoin is currently in a speculative bubble or on a sustainable path to greater adoption will ultimately be revealed over time.

This dataset contains historical data of Bitcoin prices with a 6-hour time frame spanning from 2018 to 2020. The data includes various features such as open, high, low, close prices, and volume for each time period.

Columns: timestamp: The timestamp for each data point. open: The opening price of Bitcoin. high: The highest price of Bitcoin during the 6-hour period. low: The lowest price of Bitcoin during the 6-hour period. close: The closing price of Bitcoin. volume: The trading volume of Bitcoin. Context: Understanding the historical trends and patterns in Bitcoin prices is crucial for traders, analysts, and enthusiasts. This dataset provides an opportunity for exploratory data analysis (EDA), statistical analysis, and the development of machine learning models to predict future price movements.

1) Data Introduction • The Bitcoin Historical Dataset is a cryptocurrency time-series dataset that summarizes the history of Bitcoin (BTC) minutes-by-minute transactions in a tabular format for 2017, including key transaction information such as market price and volume per minute.

2) Data Utilization (1) Bitcoin Historical Dataset has characteristics that: • Each row contains key market and transaction information, including Unix timestamps, dates (UTC), symbols, open, high, low, close, BTC, and USD. • The data is an ultra-high resolution time series structure that is well structured for price volatility analysis, ultra-short prediction, deep learning time series model learning, and more. (2) Bitcoin Historical Dataset can be used to: • Bitcoin Price Forecasting and Trading Strategies: Using minute-by-minute market price data, it can be used to develop deep learning-based price forecasting and auto-trading strategies such as LSTM and reinforcement learning. • Analyzing Volatility and Market Patterns: High-frequency trading data can be applied to researching cryptocurrency market structure, including market volatility, detection of abnormal trading, and transaction volume-based pattern analysis.

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.

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

Historical daily price of Bitcoin (BTC) in USD, combined with key historical events that influenced its value.

Prices for BTCUSC Bitcoin USD Coin including live quotes, historical charts and news. BTCUSC Bitcoin USD Coin was last updated by Trading Economics this October 11 of 2025.

By 2025, the Bitcoin market cap had grown to over ******** billion USD as the cryptocurrency kept growing. Market capitalization is calculated by multiplying the total number of Bitcoins in circulation by the Bitcoin price. The Bitcoin market capitalization increased from approximately *** billion U.S. dollars in 2013 to several times this amount since its surge in popularity. Dominance The Bitcoin market cap takes up a significant portion of the overall cryptocurrency market cap. This is referred to as "dominance". Within the crypto world, this so-called "dominance" ratio is one of the oldest and most investigated metrics available. It measures the coin's market cap relative to the overall crypto market — effectively showing how strong Bitcoin compared to all the other cryptocurrencies that are not BTC, called "altcoins". The Bitcoin dominance was above ** percent. Maximum supply and scarcity Bitcoin is unusual from other cryptocurrencies in that its maximum supply is getting closer. By 2025, well over ** million out of all 21 million possible Bitcoin had been created. Bitcoin's supply is expected to reach its maximum around the year 2140, likely making mining more energy-intensive.

BTCUSD - Bitcoin Daily Price Chart - Historical chart and current data through 2025.

Cryptocurrency historical datasets from January 2012 (if available) to October 2021 were obtained and integrated from various sources and Application Programming Interfaces (APIs) including Yahoo Finance, Cryptodownload, CoinMarketCap, various Kaggle datasets, and multiple APIs. While these datasets used various formats of time (e.g., minutes, hours, days), in order to integrate the datasets days format was used for in this research study. The integrated cryptocurrency historical datasets for 80 cryptocurrencies including but not limited to Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Cardano (ADA), Tether (USDT), Ripple (XRP), Solana (SOL), Polkadot (DOT), USD Coin (USDC), Dogecoin (DOGE), Tron (TRX), Bitcoin Cash (BCH), Litecoin (LTC), EOS (EOS), Cosmos (ATOM), Stellar (XLM), Wrapped Bitcoin (WBTC), Uniswap (UNI), Terra (LUNA), SHIBA INU (SHIB), and 60 more cryptocurrencies were uploaded in this online Mendeley data repository. Although the primary attribute of including the mentioned cryptocurrencies was the Market Capitalization, a subject matter expert i.e., a professional trader has also guided the initial selection of the cryptocurrencies by analyzing various indicators such as Relative Strength Index (RSI), Moving Average Convergence/Divergence (MACD), MYC Signals, Bollinger Bands, Fibonacci Retracement, Stochastic Oscillator and Ichimoku Cloud. The primary features of this dataset that were used as the decision-making criteria of the CLUS-MCDA II approach are Timestamps, Open, High, Low, Closed, Volume (Currency), % Change (7 days and 24 hours), Market Cap and Weighted Price values. The available excel and CSV files in this data set are just part of the integrated data and other databases, datasets and API References that was used in this study are as follows: [1] https://finance.yahoo.com/ [2] https://coinmarketcap.com/historical/ [3] https://cryptodatadownload.com/ [4] https://kaggle.com/philmohun/cryptocurrency-financial-data [5] https://kaggle.com/deepshah16/meme-cryptocurrency-historical-data [6] https://kaggle.com/sudalairajkumar/cryptocurrencypricehistory [7] https://min-api.cryptocompare.com/data/price?fsym=BTC&tsyms=USD [8] https://min-api.cryptocompare.com/ [9] https://p.nomics.com/cryptocurrency-bitcoin-api [10] https://www.coinapi.io/ [11] https://www.coingecko.com/en/api [12] https://cryptowat.ch/ [13] https://www.alphavantage.co/

This dataset is part of the CLUS-MCDA (Cluster analysis for improving Multiple Criteria Decision Analysis) and CLUS-MCDAII Project: https://aimaghsoodi.github.io/CLUSMCDA-R-Package/ https://github.com/Aimaghsoodi/CLUS-MCDA-II https://github.com/azadkavian/CLUS-MCDA

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

Bitcoin dominance steadily declined in April 2024 to below ** percent, amid rumors of central banks halting or potentially lowering interest rates in the future. Within the crypto world, this so-called "dominance" ratio is one of the oldest and most investigated metrics available. It measures the coin's market cap relative to the overall crypto market — effectively showing how strong Bitcoin compared to all the other cryptocurrencies that are not BTC, called "altcoins". Why dominance matters is because market caps of any crypto can change relatively quickly, either due to sudden price changes or a change of recorded trading volume. Essentially, the figure somewhat resembles a trading sentiment, revealing whether Bitcoin investors are responding to certain events or whether Bitcoin is losing out on functions offered by, for example, stablecoins or NFT tokens. "Dominance" criticism: Ethereum and stablecoin The interpretation of the Bitcoin metric is not without its criticism. When first conceived, Bitcoin was the first cryptocurrency to be created and had a substantial market share within all cryptocurrencies? The overall share of stablecoins, such as Tether, as well as Ethereum increasingly start to resemble that of Bitcoin, however. Some analysts argue against this comparison. For one, they point towards the large influence of trading activity between Bitcoin and Ethereum in the dominance metric. Second, they argue that stablecoins can be traded in for Bitcoin and Ethereum, essentially showing how much investors are willing to engage with "regular" cryptocurrency. A rally around Bitcoin in late 2023? By December 2023, the Bitcoin price reached roughly 41,000 U.S. dollars — the first time in 20 months such a value was reached. A weaker U.S. dollar, speculation on decreasing interest rates, and a potential Bitcoin ETF approval are believed to be at the heart of this price increase. Whether this will hold in 2024 is unclear: The monthly interest rate from the U.S. Fed is speculated to decrease in 2024, despite a vow of "higher for longer". In December 2023, the thought of decreasing interest rates and the potential of a Bitcoin ETF fuelled market sentiment towards riskier assets.

Bitcoin's circulating supply has grown steadily since its inception in 2009, reaching over 19.93 million coins by early October 2025. This gradual increase reflects the cryptocurrency's design, which put a limit of 21 million on the total number of bitcoins that can ever exist. This impacts the Bitcoin price somewhat, as its scarcity can lead to volatility on the market. Maximum supply and scarcity Bitcoin is unusual from other cryptocurrencies in that its maximum supply is getting closer. By October 2025, more than 90 percent of all possible Bitcoin had been created. That said, Bitcoin's circulating supply is expected to reach its maximum around the year 2140. Meanwhile, mining becomes exponentially more difficult and energy-intensive. Institutional investors In 2025, countries like the United States openly started discussing the possibility of buying bitcoins to hold in reserve. By the time of writing, it was unclear whether this would happen. Nevertheless, institutional investors displayed more interest in the cryptocurrency than before. Certain companies owned several thousands of Bitcoin tokens in 2025, for example. This and the limited number of Bitcoin may further fuel price volatility.

Dataset

This dataset was created by Venessa

Released under Database: Open Database, Contents: Database Contents

Contents

Відстеження історії цін Fractal Bitcoin дозволяє криптоінвесторам легко контролювати ефективність своїх інвестицій. Ви можете зручно відстежувати значення відкриття, максимуму і закриття для Fractal Bitcoin, а також обсягу торгівлі протягом певного часу. Крім того, ви можете миттєво переглянути щоденні зміни у відсотках, що дозволяє легко визначити дні зі значними коливаннями. Згідно з нашими даними історії цін Fractal Bitcoin, його вартість злетіла до безпрецедентного піку в 2024-09-15, перевищивши $39.25 USD. З іншого боку, найнижча точка цінової траєкторії Fractal Bitcoin, яку зазвичай називають «історичним мінімумом Fractal Bitcoin», сталася на 2025-08-06. Якби хтось придбав Fractal Bitcoin за цей час, то зараз він би мав неабиякий прибуток у розмірі 11%. За задумом, буде створено 133,608,925 Fractal Bitcoin. Наразі циркулююча пропозиція Fractal Bitcoin становить приблизно 86,358,950. Всі ціни, вказані на цій сторінці, отримані від надійного джерела Bitget. Дуже важливо покладатися на єдине джерело для тестування ваших інвестицій, оскільки значення можуть відрізнятися у різних продавців. До наших даних історичної ціни Fractal Bitcoin входять дані з інтервалами в 1 хвилину, 1 день, 1 тиждень та 1 місяць (відкриття/макс./мін./закриття/обсяг). Ці дані пройшли ретельне тестування для забезпечення узгодженості, повноти та точності. Вони спеціально підібрані для моделювання торгівлі та бек-тестування, доступні для безоплатного завантаження та оновлюються в режимі реального часу.

Graph and download economic data for Coinbase Bitcoin (CBBTCUSD) from 2014-12-01 to 2025-10-11 about cryptocurrency and USA.

Context

In the last few days, I have been hearing a lot of buzz around cryptocurrencies. Things like Block chain, Bitcoin, Bitcoin cash, Ethereum, Ripple etc are constantly coming in the news articles I read. So I wanted to understand more about it and this post helped me get started. Once the basics are done, the DS guy sleeping inside me (always lazy.!) woke up and started raising questions like

1. How many such cryptocurrencies are there and what are their prices and valuations?
2. Why is there a sudden surge in the interest in recent days? Is it due to the increase in the price in the last few days? etc.

For getting answers to all these questions (and if possible to predict the future prices ;)), I started getting the data from coinmarketcap about the cryptocurrencies.

Content

This dataset has the historical price information of some of the top cryptocurrencies by market capitalization. The currencies included are

• Bitcoin
• Ethereum
• Ripple
• Bitcoin cash
• Bitconnect
• Dash
• Ethereum Classic
• Iota
• Litecoin
• Monero
• Nem
• Neo
• Numeraire
• Stratis
• Waves

In case if you are interested in the prices of some other currencies, please post in comments section and I will try to add them in the next version. I am planning to revise it once in a week.

Dataset has one csv file for each currency. Price history is available on a daily basis from April 28, 2013 till Aug 07, 2017. The columns in the csv file are

• Date : date of observation
• Open : Opening price on the given day
• High : Highest price on the given day
• Low : Lowest price on the given day
• Close : Closing price on the given day
• Volume : Volume of transactions on the given day
• Market Cap : Market capitalization in USD

Acknowledgements

This data is taken from coinmarketcap and it is free to use the data.

Cover Image : Photo by Thomas Malama on Unsplash

Inspiration

Some of the questions which could be inferred from this dataset are:

1. How did the historical prices / market capitalizations of various currencies change over time?
2. Predicting the future price of the currencies
3. Which currencies are more volatile and which ones are more stable?
4. How does the price fluctuations of currencies correlate with each other?
5. Seasonal trend in the price fluctuations

PART I: Distribution table: Interval Frequency Cumulative Frequency Percentage distribution Cumulative percentage distribution 10-12 2 2 13.33 13.33 12.1-14 5 7 33.33 46.66 14.1-16 8 15 53.33 99.99 16.1-18 0 15 0 99.99

18.1 0 15 0 99.99

Majority of the countries, eight, fall in the 14.1-16 category. Five countries fall in the 12.1-14 category and two countries in the 10-12 bin. The remaining categories have zero entries. This means the data does not follow a normal distribution since most of the countries are concentrated at the highest peak. This data could be better visualized in a histogram.

Frequency distribution with revised interval: Interval Frequency Cumulative Frequency Percentage Frequency Cumulative percentage <12 2 2 13.33 13.33 12-12.9 1 3 6.67 20 13-13.9 4 7 26.67 46.67 14-14.9 4 11 26.67 73.34 15-15.9 3 14 20 93.34 16-16.9 1 15 6.67 100.01 17-17.9 0 15 0 100.01

18 0 15 0 100.01 Eight countries have between 14% and 18% of their population above age 65. The number of countries with 14% - 18% of their population above 65 years remain the same even after revising the interval. The percentage of countries that have between 14-18 percent of their population above age 65 is 53.33%.

PART II Q1. Time series chart for divorce rate in Netherlands

Q2. Describe divorce rate in Netherlands before and after 1970. There is a decline in divorce rate between 1950 and 1960. There is a moderate rise in divorce rate between 1960 and 1970, the rate steadily rises between 1970 and 1980 and thereafter exhibits a slight decline between 1980 and 1990. The rate shifts to a declining trend after the year 2000. The decline does not indicate negative number of divorces, this could be attributed to increased population size and fewer number of divorce cases filed. Q3. A bar graph would best display the divorce rate for each year, hence easy comparison. Q4. Bar graph The highest number of divorce cases were recorded in the year 2000, while the least number was observed in 1960.

Set 2: Show how different elements contributed to population change in 2018

Immigration contributed 34 percent of the change in population; births, Emigration, and deaths contributed almost equal change in population.

Q2. Elements of population growth

Immigration contributed the largest change in population growth compared to birth.

Q3. A time series to show changes in male and female population

Both populations show an increasing trend over the 4 years. We could also conclude there are more females than males in the country’s population.