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TwitterThis dataset consists of seven columns and 2740 rows collected from thirteen different sources for digital currencies. The dataset includes information on the opening price, closing price, highest price, lowest price, and volume, as well as the percentage change and the currencies collected in March 2024.
Here's a description of the contents based on the available columns in the data:
Last Price: The most recent recorded price of Bitcoin. Open Price: The opening price of Bitcoin at the start of the specified time period. Max: The maximum price of Bitcoin during the specified time period. Min: The minimum price of Bitcoin during the specified time period. Size: This may refer to the trading volume of Bitcoin during the specified time period, but requires further clarification to confirm its meaning. Change Persent: The percentage change in the price of Bitcoin compared to the previous time period, it seems there's a typographical error and it might mean "Change Percent". Class: The classification of the currency, in this context, all the data is classified under "Bitcoin". This data could be useful in financial market analytics, especially for those interested in cryptocurrencies and the dynamics of Bitcoin prices. It can be used to study price changes, market fluctuations, or even to develop models for predicting cryptocurrency prices.
Applications in Machine Learning and Beyond This dataset, focusing on Bitcoin prices and their fluctuations, has a wide range of applications, especially within the realm of machine learning and financial analysis:
Price Prediction: Utilizing historical data to train models that can predict future Bitcoin prices. Techniques like time series analysis, regression models, and more sophisticated neural networks (e.g., LSTM) could be applied. Volatility Modeling: Analyzing the variability in Bitcoin prices over time. Machine learning models can help understand patterns in price fluctuations, potentially leading to insights for investors about risk and volatility. Trend Analysis: Identifying long-term trends in Bitcoin's market performance. Machine learning algorithms can detect underlying patterns and trends, helping investors make informed decisions. Anomaly Detection: Spotting unusual patterns or outliers in Bitcoin prices that could indicate market manipulation, fraud, or significant market events. Machine learning models, especially unsupervised algorithms, are adept at detecting anomalies. Sentiment Analysis: By integrating this dataset with social media and news sentiment data, models can assess how public sentiment impacts Bitcoin prices. This involves natural language processing (NLP) techniques to gauge sentiment and correlate it with price movements. Portfolio Management: In the broader scope of financial management, machine learning models can use such datasets to optimize cryptocurrency portfolios, balancing risk and return based on historical performance. Risk Assessment: Analyzing the data to evaluate the financial risk associated with Bitcoin investments. Machine learning can provide probabilistic estimates of future price drops or gains, aiding in risk management strategies. Overall, the detailed data on Bitcoin's pricing and trading volume offers a rich foundation for various analytical and predictive modeling efforts in both academic research and practical financial applications.
Collected and Preprocessing: Wisam Abdullah , Dr. Modhar , and Dr. Ahmed Alsardly are lecturers in Tikrit University.
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TwitterBitcoin ranked as one of the most expensive cryptocurrencies as of November 2025—although values changed noticeably. Bitcoin had been the most expensive cryptocurrency for a while, but Ethereum was significantly cheaper, with a price that was roughly 30 times less than that of the most well-known digital currency. However, Bitcoin is in a unique position. Ethereum is one of several cryptocurrencies, for instance, that come from blockchains that focus on making financial applications possible. Bitcoin, or a digital equivalent of gold When one categorizes the different types of cryptocurrencies, Bitcoin stands out as it is one of the few that are essentially meant to store digital value. Some describe Bitcoin as a digital version of gold, purely designed to hold or possibly purchasing power over time. It has no other applications built around it, and is considered too slow to perform financial transactions. Stablecoins, the less volatile cryptocurrency Many coins in this ranking stand out as their price seemingly has not changed as much as others. This is because these are stablecoins - cryptocurrencies pegged to the price development of an external asset. This group of digital assets comprises an increasing share within the overall crypto market. Some see these coins as the future of retail payments, whereas others view these coins as a “safe” addition to their crypto investments.
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TwitterHow many cryptocurrencies are there? In short, there were over ******as of November 2025, although there were many more digital coins in the early months of 2022. Note, however, that a large portion of cryptocurrencies might not be that significant. There are other estimates of roughly ****** cryptocurrencies existing, but most of these are either inactive or discontinued. Due to how open the creation process of a cryptocurrency is, it is relatively easy to make one. Indeed, the top 20 cryptocurrencies make up nearly ** percent of the total market. Why are there thousands of cryptocurrencies? Any private individual or company that knows how to write a program on a blockchain can technically create a cryptocurrency. That blockchain can be an existing one. Ethereum and Binance Smart Chain are popular blockchain platforms for such ends, including smart contracts within Decentralized Finance (DeFi). The ease of crypto creation allows some individuals to find solutions to real-world payment problems while others hope to make a quick profit. This explains why some crypto lack utility. Meme coins such as Dogecoin - named after a Japanese dog species - are an infamous example, with Dogecoin's creator coming out and stating the coin started as a joke. The many types of cryptocurrency Meme coins are but one group of cryptocurrencies. Other types include altcoins, utility tokens, governance tokens, and stablecoins. Altcoins are often measured against Bitcoin, as this refers to all crypto that followed Bitcoin - the first digital currency ever created. Utility tokens and governance tokens are somewhat connected to NFTs and the metaverse. A specific example is the MANA cryptocurrency, which allows real estate purchases in the Decentraland metaverse. Stablecoins refer to the likes of Tether, which are pegged to a real-world asset like the U.S. dollar. Such coins are meant to be less volatile than regular cryptocurrency.
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Picture this: a world where every dollar, euro, or yen is digitized and seamlessly accessible through your phone. As financial technology evolves, Central Bank Digital Currencies (CBDCs) are becoming a hot topic, reshaping the future of money. These digital currencies promise to enhance transaction efficiency, financial inclusion, and transparency. With...
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Descriptive statistics of virtual, intra-virtual and foreign exchange rates.
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TwitterConsumers from countries in Africa, Asia, and South America were most likely to be an owner of cryptocurrencies, such as Bitcoin, in 2025. This conclusion can be reached after combining ** different surveys from the Statista's Consumer Insights over the course of that year. Nearly one out of three respondents to Statista's survey in Nigeria, for instance, mentioned they either owned or use a digital coin, rather than *** out of 100 respondents in the United States. This is a significant change from a list that looks at the Bitcoin (BTC) trading volume in ** countries: There, the United States and Russia were said to have traded the highest amounts of this particular virtual coin. Nevertheless, African and Latin American countries are noticeable entries in that list too. Daily use, or an investment tool? The survey asked whether consumers either owned or used cryptocurrencies but does not specify their exact use or purpose. Some countries, however, are more likely to use digital currencies on a day-to-day basis. Nigeria increasingly uses mobile money operations to either pay in stores or to send money to family and friends. Polish consumers could buy several types of products with a cryptocurrency in 2019. Opposed to this is the country of Vietnam: Here, the use of Bitcoin and other cryptocurrencies as a payment method is forbidden. Owning some form of cryptocurrency in Vietnam as an investment is allowed, however. Which countries are more likely to invest in cryptocurrencies? Professional investors looking for a cryptocurrency-themed ETF were more often found in Europe than in the United or China, according to a survey in early 2020. Most of the largest crypto hedge fund managers with a location in Europe in 2020, were either from the United Kingdom or Switzerland - the country with the highest cryptocurrency adoption rate in Europe according to Statista's Global Consumer Survey. Whether this had changed by 2025 was not yet clear.
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TwitterRaw Data filesThe data are collected from the poloniex.com database as RawJSON format and through ecb.europa.eu statistics website in XML format. The software used to export the data files and to make them available on this public repository was Mathematica.Data.zip
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This paper provides an empirical analysis of the distributional properties and statistical regularities of virtual, intra-virtual and traditional currency exchange rates. To perform the analysis, the most relevant virtual, intra-virtual and foreign currency exchange rates between October 2015 and December 2018 are examined. The analysis shows that, in spite of their differing mode of formation, daily log-returns of all currency types share tent-shaped empirical densities, one of the characteristics of a Laplace distribution at semi-log scale. This peculiar property has also been examined thoroughly in other fields of economic literature. Moreover, the empirical results show that virtual and traditional currencies hold the same functional form, even after the 2018 hype. However, in spite of these similarities virtual and intra-virtual currencies display fatter tails and steeper towering peaks than regular foreign currencies which underscores the rather speculative nature of this asset class.
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In late 2022, a woman in the Bahamas used her mobile phone to purchase groceries with Sand Dollar, the country’s central bank digital currency (CBDC). She wasn't an early adopter or a tech enthusiast, just someone benefiting from financial innovation that made everyday transactions smoother. Fast forward to 2025, and...
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This dataset provides a comprehensive overview of the cryptocurrency market, covering key metrics for over 10,000 cryptocurrencies. It includes real-time data on prices, percentage changes over various timeframes (1 hour, 24 hours, 7 days, 60 days, 90 days, and year-to-date), market capitalization, trading volumes, circulating supply, total supply, and more. The dataset is ideal for analyzing cryptocurrency trends, identifying market leaders, and understanding trading dynamics.
This dataset was created using publicly available data from CoinMarketCap through web scraping.
The idea for this dataset was inspired by the growing interest in cryptocurrency markets and the need for accessible, well-structured data for analysis. It aims to support researchers, analysts, and enthusiasts in exploring market trends, developing predictive models, and gaining deeper insights into the evolving world of digital currencies.
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TwitterThis dataset contains the predicted prices of the asset Central Bank Digital Currency 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.
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TwitterIt 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 *******.
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The global digital currency market is experiencing robust growth, driven by increasing adoption of cryptocurrencies, blockchain technology advancements, and the expanding regulatory landscape. While precise market sizing data is not provided, a reasonable estimation can be made based on publicly available information and market trends. Considering the rapid growth of the cryptocurrency market in recent years and the projected expansion of blockchain applications across diverse sectors, a conservative estimate for the 2025 market size is $2 trillion USD. This figure is supported by numerous reports indicating substantial investments and transaction volumes in the digital currency space. Assuming a Compound Annual Growth Rate (CAGR) of 20% for the forecast period (2025-2033), the market is projected to reach approximately $15 trillion USD by 2033. This substantial growth is fueled by factors including the rising demand for decentralized finance (DeFi) solutions, the increasing use of stablecoins for payments and remittances, and the growing interest in central bank digital currencies (CBDCs). Furthermore, the integration of digital currencies into existing financial systems and the development of innovative blockchain applications are contributing to the market's expansion. Key growth drivers include the increasing acceptance of cryptocurrencies by businesses and institutional investors, technological advancements that enhance scalability and security, and the rising awareness of the potential benefits of blockchain technology beyond finance. The market is segmented by type (IT solutions, Fintech, banks, consulting, exchanges, and others) and application (government and enterprise), with substantial growth anticipated across all segments. Geographic growth varies, with North America and Asia Pacific currently leading in market share due to high adoption rates and technological innovation. However, emerging markets in regions like Africa and Latin America are showing promising growth potential, driven by increasing smartphone penetration and a younger, tech-savvy population. While regulatory uncertainties and security concerns remain as potential restraints, the overall trajectory points toward substantial long-term growth for the digital currency market.
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Cryptocurrencies are fast becoming rivals to traditional currency across the world. The digital currencies are available to purchase in many different places, making it accessible to everyone, and with retailers accepting various cryptocurrencies it could be a sign that money as we know it is about to go through a major change.
In addition, the blockchain technology on which many cryptocurrencies are based, with its revolutionary distributed digital backbone, has many other promising applications. Implementations of secure, decentralized systems can aid us in conquering organizational issues of trust and security that have plagued our society throughout the ages. In effect, we can fundamentally disrupt industries core to economies, businesses and social structures, eliminating inefficiency and human error.
The dataset contains all historical daily prices (open, high, low, close) for all cryptocurrencies listed on CoinMarketCap.
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TwitterThis dataset contains the predicted prices of the asset Central Bank Digital Currency Memecoin 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.
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TwitterFirst Digital USD price data for 2025-11-18 including currency, value, high, low, open, close, and percentage difference.
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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.
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The Blockchain in Digital Currency market is a transformative sector that utilizes blockchain technology to enhance the efficiency, security, and transparency of financial transactions. As digital currencies like Bitcoin and Ethereum continue to gain traction, the need for robust blockchain solutions has skyrocketed
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Global Digital Currency Exchange market size 2025 was XX Million. Digital Currency Exchange Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.
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TwitterAlthough a majority of U.S. adults in early 2021 was not interested in cryptocurrencies as a tool for investments, more people had become aware of them. The percentage of respondents who said in two surveys in 2021 and 2019 that they had not invested in digital currencies like Bitcoin or Ethereum, and were not going to, had remained the same. The respondents who said they had not heard of cryptocurrencies declined in this same period, however. This might have several causes, including the price increases of Bitcoin (BTC) in early 2021 or Tesla's growing involvement in cryptocurrencies. One other reason might be PayPal: the payment provider announced in ************ that it would be possible to buy virtual currencies using a PayPal wallet. By the end of 2020, Paypal had recorded its highes-ever total payment volume or TPV.
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TwitterThis dataset consists of seven columns and 2740 rows collected from thirteen different sources for digital currencies. The dataset includes information on the opening price, closing price, highest price, lowest price, and volume, as well as the percentage change and the currencies collected in March 2024.
Here's a description of the contents based on the available columns in the data:
Last Price: The most recent recorded price of Bitcoin. Open Price: The opening price of Bitcoin at the start of the specified time period. Max: The maximum price of Bitcoin during the specified time period. Min: The minimum price of Bitcoin during the specified time period. Size: This may refer to the trading volume of Bitcoin during the specified time period, but requires further clarification to confirm its meaning. Change Persent: The percentage change in the price of Bitcoin compared to the previous time period, it seems there's a typographical error and it might mean "Change Percent". Class: The classification of the currency, in this context, all the data is classified under "Bitcoin". This data could be useful in financial market analytics, especially for those interested in cryptocurrencies and the dynamics of Bitcoin prices. It can be used to study price changes, market fluctuations, or even to develop models for predicting cryptocurrency prices.
Applications in Machine Learning and Beyond This dataset, focusing on Bitcoin prices and their fluctuations, has a wide range of applications, especially within the realm of machine learning and financial analysis:
Price Prediction: Utilizing historical data to train models that can predict future Bitcoin prices. Techniques like time series analysis, regression models, and more sophisticated neural networks (e.g., LSTM) could be applied. Volatility Modeling: Analyzing the variability in Bitcoin prices over time. Machine learning models can help understand patterns in price fluctuations, potentially leading to insights for investors about risk and volatility. Trend Analysis: Identifying long-term trends in Bitcoin's market performance. Machine learning algorithms can detect underlying patterns and trends, helping investors make informed decisions. Anomaly Detection: Spotting unusual patterns or outliers in Bitcoin prices that could indicate market manipulation, fraud, or significant market events. Machine learning models, especially unsupervised algorithms, are adept at detecting anomalies. Sentiment Analysis: By integrating this dataset with social media and news sentiment data, models can assess how public sentiment impacts Bitcoin prices. This involves natural language processing (NLP) techniques to gauge sentiment and correlate it with price movements. Portfolio Management: In the broader scope of financial management, machine learning models can use such datasets to optimize cryptocurrency portfolios, balancing risk and return based on historical performance. Risk Assessment: Analyzing the data to evaluate the financial risk associated with Bitcoin investments. Machine learning can provide probabilistic estimates of future price drops or gains, aiding in risk management strategies. Overall, the detailed data on Bitcoin's pricing and trading volume offers a rich foundation for various analytical and predictive modeling efforts in both academic research and practical financial applications.
Collected and Preprocessing: Wisam Abdullah , Dr. Modhar , and Dr. Ahmed Alsardly are lecturers in Tikrit University.