Prices for BTCUSD Bitcoin US Dollar including live quotes, historical charts and news. BTCUSD Bitcoin US Dollar was last updated by Trading Economics this November 30 of 2025.

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.

Crypto trader CoinUp.io ranked among the largest cryptocurrency exchangers in the world in 2025, with trading volume that was about four times as high as Picol or Pionex. Binance was the second leading exchanger in the ranking, with trading volume over 16 billion U.S. dollars as of November 27, 2025. It should be noted that these figures are separate from the platforms Binance.US, Binance TR, or Binance.KR. The platform from the Cayman Islands faced investigations from the U.S. SEC, which came to a head in November 2023. Binance did not rank as the most used cryptocurrency exchange used by consumers in the United States. Binance's settlement with the U.S. In November 2023, Binance agreed to pay a four billion U.S. dollar settlement with United States agencies — one of the biggest corporate fines in U.S. history. The U.S. Department of Justice investigated the platform for years for failure to prevent money laundering and growing crypto theft. The company's founder and CEO Changpeng Zhao pleaded guilty to the charges, agreeing to step down. Zhao would remain as the company's majority shareholder. The U.S. Treasury announced Binance will be subject to five years of monitoring and “significant compliance undertakings, including to ensure Binance’s complete exit from the United States.” Mixed signals from crypto companies The Binance settlement occurred in a month when overall crypto trading volume recorded its highest numbers for all of 2023. One of the main causes is the sudden popularity of FTT, a token released by FTX — the company founded by Sam Bankman-Fried. The developments surrounding Binance caused investors to move away from Binance's stablecoin BNB to the stablecoin from FTX. Earlier in November 2023, however, Coinbase saw its shares fall after announcing its quarterly performance figures.

As of August 2025, transactions with Bitcoin and Ethereum were offered by ** crypto-asset exchange service providers and financial instrument business operators in Japan, making them the most frequently offered coins. A total of *** different virtual coins were offered in Japan. Cryptocurrency exchanges in Japan Around ** cryptocurrency exchanges were registered with the Financial Services Agency (FSA), Japan’s financial market regulator. ************* handled the largest number of coins, followed by ******** and ************.Due to tight regulations regarding the launch of new cryptocurrencies, Japanese trading platforms often offer fewer coins than their international counterparts. To facilitate listings of the most common coins, such as Bitcoin and Ethereum, Japan’s self-regulatory body for the cryptocurrency industry, JVCEA, launched a green list of pre-approved tokens in 2022. Hacking incidents have spurred tightened regulations Japan is not only known for its early adoption of cryptocurrency, but also for being a forerunner in regulating the crypto industry. The first legal framework for the cryptocurrency industry was passed as early as 2016. Since then, the FSA has gradually tightened regulations. This is the result of two major hacking incidents at Mt. Gox and Coincheck in 2014 and 2018, in which crypto assets worth billions of yen were lost. Although the regulations are considered progressive, they are also believed to hinder the growth of the industry.

We present a high-frequency dataset of algorithmic trading. Given that, the dataset contains different time intervals depending on the timestamp when an arbitrage opportunity occurred. Our dataset has 9,799,130 tick-level records of the Bitcoin-to-Euro exchange rate starting from 2019-01-01 00:00:31 until 2020-03-30 23:59:48. Data covered information about different cryptocurrency pairs from 18 cryptocurrency exchanges. These pairs contained information about exchanges in which it was possible to buy and sell simultaneously. Each row presented the amount of arbitrage that it was possible to earn if a transaction would have been executed. The dataset contains information about the amount of arbitrage that could be earned after executing a transaction in given cryptocurrency exchanges, the quantity which had to be bought to earn arbitrage, the best sell, and the best buy prices, the balance of fiat currency in “Exchange 1” and the balance of cryptocurrency in “Exchange 2”. If there was enough fiat currency in “Exchange 1” and enough cryptocurrency in “Exchange 2” it means that the transaction was successfully executed and given arbitrage amount was earned. This information could be used by investors to discover potential earning capabilities, and create effective arbitrage trading strategies. Moreover, this dataset could serve academics for deeper analysis of efficiency and liquidity questions as well as it could be used to spot and evaluate risks in the market, identify patterns in the market.

Short description of the dataset: ID - Unique ID arb_timestamp - timestamp of arbitrage opportunity arb_exch1 - presents exchanges where one was able to successfully buy Bitcoin arb_exch2 - presents exchanges where one was able to successfully sell Bitcoin arb_ticker - BTCEUR exchange rate arb_prc - percentage earned compared to the invested amount arb_amount - the amount of arbitrage that would be earned if a transaction had been executed arb_quantity - Bitcoin quantity that needed to be bought in order to execute a transaction and to earn arbitrage best_sell_price - best price at which it was possible to sell Bitcoin in "Exchange 2" best_buy_price - best price at which it was possible to buy Bitcoin in "Exchange 1" balance_fiat - the amount of Euros available in “Exchange 1” balance_crypto - the amount of Bitcoin available in “Exchange 2”

The curated dataset consists of comprehensive financial data covering NASDAQ stocks, currency exchange rates, and cryptocurrency prices. The data spans from January 1, 2003, to June 11, 2023, and includes the following key features: 'Open', 'High', 'Low', 'Close', 'Volume', 'Year', and 'YTD Gain'.

Open: This column represents the opening price of the stock or the exchange rate at the beginning of the trading day. It indicates the initial value at which trading starts.

High: The 'High' column signifies the highest price or exchange rate reached during the trading day. It indicates the peak value observed during the trading period.

Low: The 'Low' column captures the lowest price or exchange rate recorded during the trading day. It indicates the minimum value observed during the trading period.

Close: This column represents the closing price of the stock or the exchange rate at the end of the trading day. It indicates the final value at which trading concludes.

Volume: The 'Volume' column denotes the total number of shares or units traded during the day. It reflects the level of activity or liquidity in the market.

Year: The 'Year' column identifies the specific year to which each data point corresponds. It enables analysis and comparison based on yearly trends.

YTD Gain: The 'YTD Gain' column provides the Year-to-Date gain percentage for each stock, currency, or cryptocurrency. It calculates the percentage change in value from the start of the year to the current date. This metric helps assess the performance of assets within a given year.

The dataset offers valuable insights and opportunities for analysis, research, and decision-making in the financial domain. It can be utilized in several ways:

Market Analysis: The dataset enables thorough analysis of NASDAQ stocks, currency markets, and cryptocurrencies. By examining price movements, trading volumes, and yearly trends, analysts can gain a comprehensive understanding of market dynamics.

Investment Strategies: Investors can leverage the dataset to develop and test investment strategies. The historical data, including opening, closing, high, and low prices, combined with the 'YTD Gain' metric, allows for the identification of potential investment opportunities.

Risk Management: Risk managers can utilize the dataset to evaluate and manage portfolio risk. By examining historical data and analyzing volatility and 'YTD Gain,' risk exposure can be assessed and appropriate risk management strategies can be implemented.

Academic Research: The dataset provides a valuable resource for researchers in the fields of finance, economics, and data science. It allows for empirical analysis, modeling, and the testing of hypotheses related to stock markets, currency markets, and cryptocurrencies.

Crypto exchanges stand at the heart of the digital asset ecosystem, bridging fiat currencies and blockchain networks. They reflect both the maturation and volatility of the crypto industry, powering trillions in transactions, hosting global users, and navigating evolving regulation. In institutional finance, exchanges serve as gateways for asset managers to...

Data contains BNBUSDT, BTCUSDT, ETHUSDT, SOLUSDT prices at all available dates with almost all available periods.

Each file is a table in csv format with following columns: - timestamp - timestamp in milliseconds - open - low - high - close - volume - close_time (also milliseconds) - quote_asset_volume - number_of_trades - taker_buy_base_asset_volume - taker_buy_quote_asset_volume

As of August 2025, Bitcoin and Ethereum were listed on ** crypto exchanges in Japan, making them the most frequently offered green-listed cryptocurrency.Coins on the green list prepared by the Japan Virtual and Crypto assets Exchange Association (JVCEA), a self-regulatory body for the cryptocurrency industry, are pre-approved and can be listed by exchanges without undergoing screening procedures.

This 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.

How 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.

At the end of November 2025, the Ethereum cryptocurrency had been processed nearly ***** million times on-chain that month. This was about ***** that of the more commonly known rival Bitcoin, which saw a total of ***** million transactions that month. Other leading cryptocurrencies also saw significantly less transaction activity. What kind of transactions were these? Cryptocurrencies are digital currencies which owe their credibility to their technology rather than a central bank. Many of the transactions in this statistic involve cryptocurrency exchanges which exchange these coins for other currencies, including traditional currencies such as U.S. dollars or euros. In selected countries, Bitcoin ATMs also dispense the local currency in exchange for Bitcoin. However, few retailers accept that or any other cryptocurrency on a large scale. Cryptocurrency as an investment Many cryptocurrency enthusiasts point to the high market capitalization of their favorite cryptocurrencies. Moreover, the currency price is an important factor. The price volatility of Bitcoin and others attracts investors, hoping to buy low and sell high.

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.

In this paper, the authors investigate the statistical properties of some cryptocurrencies by using three layers of analysis: alpha-stable distributions, Metcalfe’s law and the bubble behaviour through the LPPL modelling. The results show, in the medium to long-run, the validity of Metcalfe's law (the value of a network is proportional to the square of the number of connected users of the system) for the evaluation of cryptocurrencies; however, in the short-run, the validity of Metcalfe’s law for Bitcoin is questionable. As the results showed a potential for herding behaviour, the authors then used LPPL models to capture the behaviour of cryptocurrencies exchange rates during an endogenous bubble and to predict the most probable time of the regime switching. The main conclusion is that Metcalfe’s law may be valid in the long-run, however in the short-run, on various data regimes, its validity is highly debatable.

Summary statistics log-returns of the exchange rate of Bitcoin versus those of Australian Dollar, Brazilian Real, Canadian Dollar, Swiss Franc, Euro, British Pound and Japanese Yen.

The cryptocurrency exchange platform market is experiencing robust growth, projected to reach a market size of $10,560 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 6.0% from 2025 to 2033. This expansion is driven by several factors, including the increasing adoption of cryptocurrencies by both retail investors and institutional players, the growing popularity of decentralized finance (DeFi) applications, and the ongoing development of more user-friendly and secure exchange platforms. The market is segmented by exchange type (centralized vs. decentralized) and application (retail & e-commerce, BFSI, others). Centralized exchanges currently dominate the market share due to their ease of use and regulatory compliance, but decentralized exchanges are experiencing rapid growth fueled by demand for enhanced privacy and security. The burgeoning adoption of cryptocurrencies in the BFSI sector for payments and cross-border transactions further fuels market growth. Geographic expansion is also a significant factor, with North America and Asia Pacific expected to remain key markets, driven by high cryptocurrency adoption rates and increasing technological infrastructure. However, regulatory uncertainties and security concerns pose challenges to market growth and necessitate continuous innovation in platform security and regulatory compliance. The competitive landscape is highly dynamic, with established players like Binance, Coinbase, and Kraken vying for market share alongside newer entrants. The success of individual platforms depends on factors such as transaction fees, security protocols, user experience, and regulatory compliance. The increasing sophistication of trading strategies and the emergence of institutional investors necessitate the development of advanced trading tools and analytical capabilities on exchange platforms. Future market growth will likely hinge on the successful integration of innovative technologies such as AI and blockchain advancements, alongside robust regulatory frameworks that foster trust and encourage responsible innovation within the cryptocurrency ecosystem. This includes addressing issues like market volatility and ensuring consumer protection.

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