Bitcoin is the most well-known longest-running cryptocurrency, released initially as an open source in 2009 by Satoshi Nakamoto. Bitcoin is a decentralized medium of digital exchange, with transactions recorded and verified in a public distributed ledger (the blockchain) without the need for a record-keeping authority or central intermediary.

Transaction blocks contain an SHA-256 cryptographic hash of previous transaction blocks and are thus "chained" together, serving as an immutable record of all transactions that have ever occurred. As with any currency/commodity on the market, bitcoin trading and financial instruments soon followed the public adoption of bitcoin and continue to grow. Included here are historical bitcoin market data at 1-min intervals for select bitcoin exchanges where trading takes place. Happy (data) mining!

Column Description

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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 price data for Bitcoin (BTC) against the U.S. Dollar (USD), spanning from June 2010 to November 2024. The data is organized on a daily basis and includes key market metrics such as the opening price, closing price, high, low, volume, and market capitalization for each day.

Columns: The dataset consists of the following columns:

Date: The date of the recorded data point (format: YYYY-MM-DD). Open: The opening price of Bitcoin on that day. High: The highest price Bitcoin reached on that day. Low: The lowest price Bitcoin reached on that day. Close: The closing price of Bitcoin on that day. Volume: The total trading volume of Bitcoin during that day. Market Cap: The total market capitalization of Bitcoin on that day (calculated by multiplying the closing price by the circulating supply of Bitcoin at the time). Source: The data is sourced from Yahoo Finance.

Time Period: The data spans from June 2010, when Bitcoin first began trading, to November 2024. This provides a comprehensive view of Bitcoin’s historical price movements, from its early days of trading at a fraction of a cent to its more recent valuation in the thousands of dollars.

Use Cases:

This dataset is valuable for a variety of purposes, including:

Time Series Analysis: Analyze Bitcoin price movements, identify trends, and develop predictive models for future prices. Financial Modeling: Use the dataset to assess Bitcoin as an asset class, model its volatility, or simulate investment strategies. Machine Learning: Train machine learning algorithms to forecast Bitcoin’s future price or predict market trends based on historical data. Economic Research: Study the impact of global events on Bitcoin’s price, such as regulatory changes, technological developments, or macroeconomic factors. Visualization: Generate visualizations of Bitcoin price trends, trading volume, and market capitalization over time.

Context

This minute by minute historical dataset of bitcoin prices offers a wealth of information for data scientists and analysts. In addition to the OHLC prices for each minute, this dataset also includes the volume of bitcoin traded during that time period. This granular data, going back to 2015, allows for in-depth analysis of the market fluctuations and trends of the world's most popular cryptocurrency.

With this dataset, researchers can study the underlying mechanisms of the bitcoin network, traders can gain a better understanding of market movements, and investors can make more informed decisions about their investments. The open, high, low, and close prices, as well as the volume data, provide a wealth of information for analyzing the market and identifying potential opportunities.

Whether you're looking to gain a competitive edge as a trader, conduct research on the bitcoin market, or simply want to learn more about the world of cryptocurrency, this dataset is a valuable resource. With its rich and detailed data, you'll be able to dive deep into the world of bitcoin and uncover insights that can help you make better decisions.

Content

• Timestamp: This is the UNIX timestamp or the "Epoch Time", number of seconds elapsed since 00:00:00 UTC on 1 January 1970.
• Date: Date and time of price recording.
• Open - This is the opening price of the time period (in US Dollars).
• High - This is the highest price of the time period (in US Dollars).
• Low - This is the lowest price of the time period (in US Dollars).
• Close - This is the closing price of the time period (in US Dollars).
• Volume BTC - This is the volume of ₿ transacted in the time interval.
• Volume USD - This is the volume of $ transacted in the time interval.

This dataset holds data about the Bitcoin price (in USD) since its first public trading (in 2010) until Jan 2025.

Data for 2010-2011 might be unreliable.

The dataset was compiled by merging existing datasets + adding the missing data for Jan 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

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)

Set of order book snapshots of the now closed down trading platform BTC-e for the Bitcoin/USD market. The snapshots are taken every 10 seconds and contain 20 levels per side of the book. Both prices and volumes are included for each level. The data covers the years 2015 and 2016. Data comes in two versions: parsed data as a multivariate time series per side of the book. That is, one file for each side of the book which contains 20 rows, where the first row is the series of the first level of prices or volumes and the last row is the series of the 20th level. This applies both to asks and bids. The other version of the data is unparsed and contains the 20 levels per side paired with the volumes and a timestamp string.

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.

Kraken Trading Data Collection Overview This repository contains tools for collecting cryptocurrency trading data from the Kraken exchange. The dataset includes real-time price, volume, and order book data for major cryptocurrency pairs. Data Description Included Trading Pairs XXBTZUSD (Bitcoin/USD) XETHZUSD (Ethereum/USD) XXRPZUSD (Ripple/USD) ADAUSD (Cardano/USD) DOGEUSD (Dogecoin/USD) BNBUSD (Binance Coin/USD) SOLUSD (Solana/USD) DOTUSD (Polkadot/USD) MATICUSD (Polygon/USD) LTCUSD… See the full description on the dataset page: https://huggingface.co/datasets/GotThatData/kraken-trading-data.

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

Bitcoin Historical Dataset 3M records from 2017-2023

Context:

Bitcoin, the pioneering cryptocurrency, has captured the world's attention as a decentralized digital asset with a fluctuating market value. This dataset offers a comprehensive record of Bitcoin's price evolution, spanning from August 2017 to July 2023. The data has been meticulously collected from the Binance API, with price data captured at one-minute intervals. Each record includes essential information such as the open, high, low, and close prices, alongside associated trading volume. This dataset provides an invaluable resource for those interested in studying Bitcoin's price trends and market dynamics.

Dataset Details:

Total Number of Entries: 3.126.000

Attributes: Timestamp, Open Price, High Price, Low Price, Close Price, Volume , Quote asset volume, Number of trades, Taker buy base asset volume, Taker buy quote asset volume.

Data Type: csv

Size: 133 MB

Date ranges: 2023/08/17 till 2023/07/31

Content:

This dataset provides granular insights into the price history of Bitcoin, allowing users to explore minute-by-minute changes in its market value. The dataset includes attributes such as the open price, high price, low price, close price, trading volume, and the timestamp of each recorded interval. The data is presented in CSV format, making it easily accessible for analysis and visualization.

Inspiration:

The Bitcoin Price Dataset opens up numerous avenues for exploration and analysis, driven by the availability of high-frequency data. Potential research directions include:

Intraday Price Patterns: How do Bitcoin prices vary within a single day? Are there recurring patterns or trends during specific hours? Volatility Analysis: What are the periods of heightened volatility in Bitcoin's price history, and how do they correlate with external events or market developments? Correlation with Events: Can you identify instances where significant price movements coincide with notable events in the cryptocurrency space or broader financial markets? Long-Term Trends: How has the average price of Bitcoin evolved over different years? Are there multi-year trends that stand out? Trading Volume Impact: Is there a relationship between trading volume and price movement? How does trading activity affect short-term price fluctuations?

Acknowledgements:

The dataset has been sourced directly from the Binance API, a prominent cryptocurrency exchange platform. The collaboration with Binance ensures the dataset's accuracy and reliability, offering users a trustworthy foundation for conducting analyses and research related to Bitcoin's price movements.

Licensing:

Users are welcome to utilize this dataset for personal, educational, and research purposes, with attribution to the Binance API as the source of the data.

Hope you enjoy this dataset as much as I enjoyed putting it together. Can't wait to see what you can come up with :)

The dataset of this paper is collected based on Google, Blockchain, and the Bitcoin market. Generally, there is a total of 26 features, however, a feature whose correlation rate is lower than 0.3 between the variations of price and the variations of feature has been eliminated. Hence, a total of 21 practical features including Market capitalization, Trade-volume, Transaction-fees USD, Average confirmation time, Difficulty, High price, Low price, Total hash rate, Block-size, Miners-revenue, N-transactions-total, Google searches, Open price, N-payments-per Block, Total circulating Bitcoin, Cost-per-transaction percent, Fees-USD-per transaction, N-unique-addresses, N-transactions-per block, and Output-volume have been selected. In addition to the values of these features, for each feature, a new one is created that includes the difference between the previous day and the day before the previous day as a supportive feature. From the point of view of the number and history of the dataset used, a total of 1275 training data were used in the proposed model to extract patterns of Bitcoin price and they were collected from 12 Nov 2018 to 4 Jun 2021.

👏 Upvote this dataset if you find it interesting!

Bitcoin (BTC) is a cryptocurrency launched in 2010. Users are able to generate BTC through the process of mining. Bitcoin has a current supply of 19,562,400. The last known price of Bitcoin is 43,856.15031079 USD and is up 5.16 over the last 24 hours. It is currently trading on 10599 active market(s) with $38,520,759,012.10 traded over the last 24 hours. More information can be found at https://bitcoin.org/. The dataset includes the daily Bitcoin (BTC) price in USD.

Bitcoin Price Chronicles: 10 Years of USD-BTC Market Data (2014-2024)

Overview

This dataset contains daily historical market data for Bitcoin (BTC) priced in USD, spanning 10 years from Origin till 2024-05-01. It includes key financial metrics such as Open, High, Low, Close, Adjusted Close, and Volume. This dataset is perfect for economic analysis, time series modelling, and cryptocurrency research.

Details

• File Size: [291.37 kB]
• Number of Rows: 3,511 (daily data points)
• Number of Columns: 7
• Data Source: Likely sourced from a cryptocurrency exchange or financial data provider.
• Geospatial Coverage: Global, as Bitcoin is a decentralized cryptocurrency.

Usage

This dataset is ideal for: 1. Financial Analysis: Analyzing Bitcoin price trends, volatility, and market behaviour over a decade. 2. Time Series Analysis: Using historical data to build predictive models for Bitcoin prices. 3. Algorithmic Trading: Developing trading strategies and backtesting them. 4. Cryptocurrency Research: Studying the adoption and market dynamics of Bitcoin. 5. Data Visualization: Creating charts and graphs to visualize Bitcoin’s price history.

About This Dataset 🚀

Explore the Pulse of Bitcoin! This meticulously curated dataset offers a detailed view of Bitcoin's USD value, capturing the highs, lows, and everything in between. With data spanning over a decade, analysts, researchers, and enthusiasts can delve into the nuances of market trends, perform predictive analytics, and unearth insights into the cryptocurrency's volatile nature.

What's Inside? 📊

• Date: Track Bitcoin's price movements day by day for precise temporal analysis.
• Open, High, Low, Close: Uncover daily trading patterns with detailed price points.
• Adjusted Close: Get a more accurate reflection of Bitcoin's closing price, adjusted for external market factors.
• Volume: Measure market sentiment and trading intensity with comprehensive volume data.

Perfect for:

• Academic Research: Ideal for econometrics studies, financial models, and cryptocurrency research.
• Machine Learning Projects: Ready-to-use data for forecasting models, trend analysis, and pattern recognition.
• Financial Analysis: Essential for investors and financial analysts focusing on cryptocurrency markets.

Get Started with Our Analysis Notebook! 📘✨

Ready to dive deeper? Check out our starter notebook designed to help you kickstart your analysis using this dataset. Whether you're new to data science or an experienced analyst, this notebook will guide you through a comprehensive exploration of Bitcoin's daily prices, equipping you with the tools to start your own analysis.

👉 Start Analyzing Bitcoin Daily Prices Now!

Utilize this dataset as a foundation for your research, analysis, and predictions. Happy exploring!

Concise and Descriptive (Suitable for a Quick Overview):

This dataset contains historical Bitcoin (BTC) prices in USD, providing daily Open, High, Low, Close, and Volume data. It's ideal for time series analysis, financial modeling, and understanding Bitcoin's price dynamics.

Historical Bitcoin (BTC/USD) price data, including daily OHLCV values. Use this dataset to analyze trends, volatility, and patterns in Bitcoin's price history.

Bitcoin's daily price history (Open, High, Low, Close, Volume) in USD. A valuable resource for exploring the past performance of the world's leading cryptocurrency.

More Detailed and Engaging:

Explore Bitcoin's journey through this comprehensive historical dataset. Containing daily Open, High, Low, Close, and Volume (OHLCV) data in USD, this dataset allows you to delve deep into Bitcoin's price fluctuations, identify trends, and build predictive models. Discover the stories hidden within the data and unlock valuable insights into the world of cryptocurrency.

This dataset offers a detailed glimpse into Bitcoin's past, providing a rich source of information for financial analysts, data scientists, and cryptocurrency enthusiasts alike. With daily OHLCV values in USD, you can analyze price movements, assess volatility, and identify potential trading strategies. Uncover the patterns and anomalies that have shaped Bitcoin's price history.

Embark on a data-driven exploration of Bitcoin's historical price performance. This dataset provides daily OHLCV data in USD, enabling you to conduct time series analysis, build predictive models, and gain a deeper understanding of Bitcoin's price dynamics. From the early days of Bitcoin to its current status as a global asset, this dataset captures the key events and trends that have shaped its price history.

Focusing on Potential Use Cases:

Unlock the potential of Bitcoin's historical price data with this comprehensive dataset. Use it for:

Time series analysis

Volatility modeling

Algorithmic trading strategy development

Predictive modeling

Risk management

This Bitcoin price history dataset is a valuable resource for:

Researchers studying cryptocurrency markets

Financial analysts tracking Bitcoin's performance

Data scientists building predictive models

Traders developing automated strategies

My Personal Recommendations:

"This dataset contains historical Bitcoin (BTC) prices in USD, providing daily Open, High, Low, Close, and Volume data. It's ideal for time series analysis, financial modeling, and understanding Bitcoin's price dynamics." (Concise and informative)

"Explore Bitcoin's journey through this comprehensive historical dataset. Containing daily Open, High, Low, Close, and Volume (OHLCV) data in USD, this dataset allows you to delve deep into Bitcoin's price fluctuations, identify trends, and build predictive models. Discover the stories hidden within the data and unlock valuable insights into the world of cryptocurrency." (More engaging, provides a narrative)

Where to Add the Description:

In your Kaggle notebook, look for a section or cell dedicated to "About the Dataset" or a similar heading.

Paste your chosen description into that section, using Markdown formatting for headings, bullet points, or any other styling you prefer.

The goal is to provide enough information to pique the reader's interest and convince them that your notebook is worth exploring. Make sure the description is clear, accurate, and relevant to the content of your analysis.

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Bitcoin ETFs and the “Sell-the-News” Phenomenon CryptoQuant, a renowned analytics firm, noted that the market anticipates a 90% likelihood of spot Bitcoin ETF approvals by early January. This optimism, reflected in 32 meetings between ETF issuers and the US Securities and Exchange Commission (SEC), suggests constructive dialogue. However, it also sets the stage for a classic “sell-the-news” event.

The recent announcement from Blackrock about seeding its ETF with $10 million is a bullish sign. Nonetheless, CryptoQuant highlighted the impact of miner behavior. With the recent surge in Bitcoin prices, miners are experiencing high unrealized profits and have started increasing their selling activities, which could contribute to downward pressure.

The bitcoin (BTC) price started 2024 on a roll, adding more than 7% in 24 hours to approach $46,000, the highest level since April 2022, in a strong start to the new year. As has been the case for the past several weeks, anticipation that the U.S. Securities and Exchange Commission (SEC) will greenlight a number of spot bitcoin ETFs appears to be the catalyst for the move higher. A Reuters report over the weekend suggested the regulatory agency could begin notifying ETF sponsors as soon as Tuesday that their applications were to be approved. Traditional-finance heavyweights such as BlackRock and VanEck are among the 13 companies in the race – and the move could fuel buying pressure for bitcoin in the coming months as the first regulated spot bitcoin product in the U.S., traders expect. Still, market commentators and analysts remain mixed on the impact of ETF approval. "Some analysts from cryptocurrency trading platforms believe that even if the ETF is approved, Bitcoin may not immediately experience a significant rally," Ryan Lee, chief analyst at Bitget Research, said in an email. "There are also some optimistic views, such as influential trader Scott Melker predicting that Bitcoin could surge to $54,000 in the next few days once the SEC approves the ETF. Matrixport predicts that BTC will rise to $50,000 within a month after passing the BTC spot ETF in January." Bitcoin burst through $45,000 and was trading recently at $45,707, according to CoinDesk Indices data. Meanwhile, broader crypto markets are on the move higher as well, with ether (ETH) ahead by 4% and solana (SOL) and avalanche (AVAX) up as much as 12%.

A league table of the 120 cryptocurrencies with the highest market cap reveals how diverse each crypto is and potentially how much risk is involved when investing in one. Bitcoin (BTC), for instance, had a so-called "high cap" - a market cap worth more than 10 billion U.S. dollars - indicating this crypto project has a certain track record or, at the very least, is considered a major player in the cryptocurrency space. This is different in Decentralize Finance (DeFi), where Bitcoin is only a relatively new player. A concentrated market The number of existing cryptocurrencies is several thousands, even if most have a limited significance. Indeed, Bitcoin and Ethereum account for nearly 75 percent of the entire crypto market capitalization. As crypto is relatively easy to create, the range of projects varies significantly - from improving payments to solving real-world issues, but also meme coins and more speculative investments. Crypto is not considered a payment method While often talked about as an investment vehicle, cryptocurrencies have not yet established a clear use case in day-to-day life. Central bankers found that usefulness of crypto in domestic payments or remittances to be negligible. A forecast for the world's main online payment methods took a similar stance: It predicts that cryptocurrency would only take up 0.2 percent of total transaction value by 2027.

The "Bitcoin Price| Daily Price | Weekly Update" dataset provides weekly updates on Bitcoin prices along with related information to aid in cryptocurrency market analysis and trend monitoring. This dataset includes historical data of Bitcoin prices over several weeks, encompassing opening price, closing price, highest price, lowest price, and trading volume.

Key Features: - Date: A specific date within each day of trading, denoting when the Bitcoin price was recorded. - Price: Bitcoin's price at a specific time during the daily trading period, denoting its value in the respective currency (USD). - Open: Bitcoin's opening price at the start of each day's trading period, illustrating the starting price for Bitcoin trading during that day. - High: The peak price of Bitcoin reached during each day's trading period, offering insight into Bitcoin's highest value attained within that day. - Low: The lowest price of Bitcoin observed during each day's trading period, reflecting Bitcoin's lowest value within that day. - Vol. (Volume): Bitcoin's trading volume within a specific unit (e.g., number of Bitcoins traded) during each day's trading period, providing insight into trading activity in the Bitcoin market. - Change %: The percentage change in Bitcoin's price from the opening to the closing price within each day of trading, indicating the relative price shift compared to the opening price.

The "Bitcoin Price| Daily Price | Weekly Update" dataset is designed to assist market analysts, traders, and researchers in understanding the weekly dynamics of Bitcoin prices and identifying cryptocurrency market trends that may affect investment decisions. With these features, the dataset facilitates informed trading strategies and investment decisions in the dynamic cryptocurrency market.