It 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 *******.

This dataset contains detailed daily price information for Bitcoin (BTC) and Ethereum (ETH) against USD, covering the period from 2014 to 2024. It includes key financial metrics such as Open, High, Low, Close prices, Volume, and Adjusted Close values for both cryptocurrencies. This dataset is ideal for cryptocurrency enthusiasts, financial analysts, and data scientists looking to explore trends, analyze market movements, and develop predictive models for Bitcoin’s and Ethereum’s performance over the last decade.

The data provides insights into Bitcoin and Ethereum’s price fluctuations, from Bitcoin’s early adoption phase to Ethereum's rise as a dominant platform for decentralized applications and smart contracts. Whether you're interested in historical patterns, volatility analysis, or future price predictions, this comprehensive dataset serves as a valuable resource for your cryptocurrency research and analysis.

The Bitcoin (BTC) price again reached an all-time high in 2025, as values exceeded over 95,508.31 USD on November 16, 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.

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.

Cryptocurrency Market Values and Supply

Tracking Value and Supply Trends

By [source]

About this dataset

This dataset provides an unparalleled insight into the trends of the cryptocurrency market by collecting daily snapshots of its market capitalization, price, circulating supply, and the name, symbol, and date associated with each snapshot. The data offers researchers a comprehensive view of different cryptocurrencies across the globe in terms of value and techniques used to manage their supplies. This data helps us compare different digital currencies while identifying each currency’s potential for growth based on current valuation trends or its susceptibility to volatility. Furthermore, this dataset enables us to research both current developments as well as historical dynamics within the cryptocurrency market. Ultimately, these records provide critical material for gaining a better understanding of the concept that governs digital currency markets and allow users to make informed decisions when choosing between various investments options in a rapidly changing finance industry

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How to use the dataset

This dataset provides an invaluable insight into the trends of the cryptocurrency market, allowing you to analyze and compare different cryptocurrencies in terms of their market value, circulating supply and volatility. Here's how to get started using this dataset:

• Examine the Columns: The dataset includes several columns such as Name, Market_cap, Price, Circulating_supply and Symbol. It is important to understand what data each column contains before you start exploring the data.
• Select Correlated Cryptocurrencies: You can select two or more correlated cryptocurrencies to compare their market values, circulating supplies or prices over time. This allows you to see how changes in one currency affects other currencies.
• Filter Results by Price or Market Cap: You can filter your results by setting a specific maximum or minimum price for each cryptocurrency or by setting a maximum/minimum market cap for any given day of analysis. This will help narrow down results that may be hard to interpret due to high variation in values between days or timespans (time series analysis).
• Conduct Time Series Analysis: Start your time series analysis by tracking changes in Price, Market Cap and Circulating Supply over time on a single chart so that you can observe patterns better than if displayed separately; this makes it easier to spot potential correlations between values which might suggest underlying causes causing these changes. 5 Use Models To Forecast Activity In The Cryptocurrency Market : Using Machine Learning models with historic data from this dataset enables more accurate predictions about what could happen in the future create more accurate models about expected future activity going into investing decisions for doing research about long term investments moves that goes beyond short term trading strategies

Research Ideas

• Creating a statistical model to predict the price movement of different cryptocurrencies given market conditions and circulating supply;
• Analyzing the effect of investing decisions on cryptocurrencies by analyzing historical trends in market capitalization, price, and circulating supply;
• Identifying correlations between trading volume and market capitalization or circulating supply in order to better understand how these factors impacts prices over time

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: top cryto2.csv | Column name | Description | |:-----------------------|:---------------------------------------------------------------------------| | Name | The name of the cryptocurrency. (String) | | Market_cap | The total market capitalization of the cryptocurrency. (Float) | | price | The current price of the cryptocurrency. (Float) | | **circulating_supply...

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.

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.

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

Top cryptocurrency prices and charts, listed by market capitalization. Free access to current and historic data for Bitcoin and thousands of altcoins.

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

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.

Ripple, or XRP, prices surged in 2021 but went down significantly as 2022 progressed. As of November 16, 2025, one XRP token was worth 2.24 U.S. dollars. Ethereum's price, for example, kept on reaching new all-time highs, a feat not performed by XRP. Indeed, XRP's price spikes followed relatively late - only occurring in early 2021, against late 2020 for most other cryptos - after the US SEC filed a legal complaint against Ripple in November 2020. This legal action caused the XRP price to plummet from around 0.70 U.S. dollars to 0.20 U.S. dollars.Ripple versus XRP: two become oneTechnically speaking, Ripple is not a cryptocurrency. Renamed from a protocol called OpenCoin in 2013, Ripple facilitates open-source payments. XRP, on the other hand, is the cryptocurrency that runs on this network. In that sense, Ripple and XRP have a similar symbiosis to each other, like the Ethereum network and its cryptocurrency, Ether. Unlike Ethereum - whose price changes are connected to the world of Decentralized Finance or DeFI - Ripple/XRP mostly looks at developments in cross-border payments for companies. In 2020, companies worldwide began to favor fintech solutions for future B2B solutions and, in a way, Ripple is an extension of that.What affects the price of Ripple?Ripple is mostly active in Southeast Asia - a region with a splintered payment landscape and that heavily investigates its own types of state-issued cryptocurrency to make cross-border payments a lot easier. Price spikes tend to follow news on this topic in this specific region. In 2019, for example, the XRP price grew after Japan and South Korea began testing to reduce time and costs for transferring international funds between the two countries. In March 2021, Ripple announced that it had agreed to acquire 40 percent of Malaysian cross-border payments firm Tranglo to meet growing demand in Southeast Asia.

The implementation of statistical techniques in on-line surveillance of financial markets has been frequently studied more recently. As a novel approach, statistical control charts which are famous tools for monitoring industrial processes, have been applied in various financial applications in the last three decades. The aim of this study is to propose a novel application of control charts called profile monitoring in the surveillance of the cryptocurrency markets. In this way, a new control chart is proposed to monitor the price variation of a pair of two most famous cryptocurrencies i.e., Bitcoin (BTC) and Ethereum (ETH). Parameter estimation, tuning and sensitivity analysis are conducted assuming that the random explanatory variable follows a symmetric normal distribution. The triggered signals from the proposed method are interpreted to convert the BTC and ETH at proper times to increase their total value. Hence, the proposed method could be considered a financial indicator so that its signal can lead to a tangible increase of the pair of assets. The performance of the proposed method is investigated through different parameter adjustments and compared with some common technical indicators under a real data set. The results show the acceptable and superior performance of the proposed method.

Cryptocurrency Market size was valued at around USD 6.78 billion in 2024 and is projected to reach USD 15.03 billion by 2030 along with a CAGR of around 14.19%.

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.

Real-time prices and charts for cryptocurrencies

Find my notebook : Advanced EDA & Data Wrangling - Crypto Market Data where I cover the full EDA and advanced data wrangling to get beautiful dataset ready for analysis.

Find my Deep Reinforcement Learning v1 notebook: "https://www.kaggle.com/code/franoisgeorgesjulien/deep-reinforcement-learning-for-trading">Deep Reinforcement Learning for Trading

Find my Quant Analysis notebook:"https://www.kaggle.com/code/franoisgeorgesjulien/quant-analysis-visualization-btc-v1">💎 Quant Analysis & Visualization | BTC V1

Dataset Presentation:

This dataset provides a comprehensive collection of hourly price data for 34 major cryptocurrencies, covering a time span from January 2017 to the present day. The dataset includes Open, High, Low, Close, Volume (OHLCV), and the number of trades for each cryptocurrency for each hour (row).

Making it a valuable resource for cryptocurrency market analysis, research, and trading strategies. Whether you are interested in historical trends or real-time market dynamics, this dataset offers insights into the price movements of a diverse range of cryptocurrencies.

This is a pure gold mine, for all kind of analysis and predictive models. The granularity of the dataset offers a wide range of possibilities. Have Fun!

Ready to Use - Cleaned and arranged dataset less than 0.015% of missing data hour: crypto_data.csv

First Draft - Before External Sources Merge (to cover missing data points): crypto_force.csv

Original dataset merged from all individual token datasets: cryptotoken_full.csv

crypto_data.csv & cryptotoken_full.csv highly challenging wrangling situations: - fix 'Date' formats and inconsistencies - find missing hours and isolate them for each token - import external data source containing targeted missing hours and merge dataframes to fill missing rows

see notebook 'Advanced EDA & Data Wrangling - Crypto Market Data' to follow along and have a look at the EDA, wrangling and cleaning process.

Date Range: From 2017-08-17 04:00:00 to 2023-10-19 23:00:00

Date Format: YYYY-MM-DD HH-MM-SS (raw data to be converted to datetime)

Data Source: Binance API (some missing rows filled using Kraken & Poloniex market data)

Crypto Token in the dataset (also available as independent dataset): - 1INCH - AAVE - ADA (Cardano) - ALGO (Algorand) - ATOM (Cosmos) - AVAX (Avalanche) - BAL (Balancer) - BCH (Bitcoin Cash) - BNB (Binance Coin) - BTC (Bitcoin) - COMP (Compound) - CRV (Curve DAO Token) - DENT - DOGE (Dogecoin) - DOT (Polkadot) - DYDX - ETC (Ethereum Classic) - ETH (Ethereum) - FIL (Filecoin) - HBAR (Hedera Hashgraph) - ICP (Internet Computer) - LINK (Chainlink) - LTC (Litecoin) - MATIC (Polygon) - MKR (Maker) - RVN (Ravencoin) - SHIB (Shiba Inu) - SOL (Solana) - SUSHI (SushiSwap) - TRX (Tron) - UNI (Uniswap) - VET (VeChain) - XLM (Stellar) - XMR (Monero)

Date column presents some inconsistencies that need to be cleaned before formatting to datetime: - For column 'Symbol' and 'ETCUSDT' = '23-07-27': it is missing all hours (no data, no hourly rows for this day). I fixed it by using the only one row available for that day and duplicated the values for each hour. Can be fixed using this code:

start_timestamp = pd.Timestamp('2023-07-27 00:00:00')
end_timestamp = pd.Timestamp('2023-07-27 23:00:00')

hourly_timestamps = pd.date_range(start=start_timestamp, end=end_timestamp, freq='H')

hourly_data = {
  'Date': hourly_timestamps,
  'Symbol': 'ETCUSDT',
  'Open': 18.29,
  'High': 18.3,
  'Low': 18.17,
  'Close': 18.22,
  'Volume USDT': 127468,
  'tradecount': 623,
  'Token': 'ETC'
}

hourly_df = pd.DataFrame(hourly_data)
df = pd.concat([df, hourly_df], ignore_index=True)

df = df.drop(550341)

• Some rows for 'Date' have extra digits '.000' '.874' etc.. instead of the right format YYYY-MM-DD HH-MM-SS. To clean it you can use the following code:

# Count the occurrences of the pattern '.xxx' in the 'Date' column
count_occurrences_before = df['Date'].str.count(r'\.\d{3}')
print("Occurrences before cleaning:", count_occurrences_before.sum()) 

# Remove '.xxx' pattern from the 'Date' column
df['Date'] = df['Date'].str.replace(r'\.\d{3}', '', regex=True)

# Count the occurrences of the pattern '.xxx' in the 'Date' column after cleaning
count_occurrences_after = df['Date'].str.count(r'\.\d{3}')
print("Occurrences after cleaning:", count_occurrences_after.sum()) 

**Disclaimer: Any individual or entity choosing to engage in market analysis, develop predictive models, or utilize data for trading purposes must do so at their own discretion and risk. It is important to understand that trading involves potential financial loss, and decisions made in the financial mar...

Context

The dataset contains all historical daily prices (open, high, low, close) for the top 50 Cryptocurrency

Content

The dataset has 50 different CSV files for each of the top 50 cryptocurrencies. Price history is available on a daily basis from the launch of that respective cryptocurrency. The dataset also contains an ALL_COMBINED CSV file, which contains the combined data for all the TOP50 cryptocurrencies in one CSV file. Attribute Information: SNo: Serial Number Date: Date of observation Price: Price on the given day (Also the closing price for that day) Open: Opening price on the given day High: Highest price on the given day Low: Lowest price on the given day Volume: Volume of transactions on the given day Change%: Percentage Change from the previous day

Acknowledgements

This data is taken from https://www.investing.com and is free to use. Check details here

Cover Image: Photo by Executium on Unsplash.

Inspiration

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

• Which currencies are the most volatile?
• Predicting the future price of the currencies
• How does the price fluctuations of currencies correlate with each other?
• What day of the week is best to buy/sell?
• How does the price fluctuations of currencies correlate with each other?
• Seasonal trend in the price fluctuations

This dataset contains specific information about top Cryptocurrencies, their Prices, their changing values within 1 hour, 24 hours, and their market capitals. Analyzing this specific dataset will lead you to take important decisions for your investment in the Cryptocurrency market, which is no doubt one of the best markets to invest in.

Snapshot img

Cryptocurrency Market Size 2025-2029

The cryptocurrency market size is valued to increase USD 39.75 billion, at a CAGR of 16.7% from 2024 to 2029. Rising investment in digital assets will drive the cryptocurrency market.

Major Market Trends & Insights

North America dominated the market and accounted for a 48% growth during the forecast period.
By Type - Bitcoin segment was valued at USD 7.57 billion in 2023
By Component - Hardware segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 313.81 billion
Market Future Opportunities: USD 39749.40 billion
CAGR from 2024 to 2029 : 16.7%

Market Summary

The market represents a dynamic and rapidly evolving ecosystem, driven by core technologies such as blockchain and decentralized finance (DeFi), which have fueled the creation and adoption of various applications and service types. Notably, digital assets have gained increasing acceptance in the retail sector, with major companies like Microsoft, Starbucks, and Tesla integrating cryptocurrencies into their payment systems. However, the market is not without challenges, including the volatility of cryptocurrency values, which can impact investor confidence and regulatory uncertainty. According to Statista, the number of cryptocurrency users worldwide is projected to reach 223 million by 2022, underscoring the growing importance of this market.
Rising investment in digital assets and the potential for new use cases continue to present significant opportunities for innovation and growth.

What will be the Size of the Cryptocurrency Market during the forecast period?

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How is the Cryptocurrency Market Segmented ?

The cryptocurrency industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Bitcoin
  Ethereum
  Others
  Ripple
  Bitcoin Cash
  Cardano


Component

  Hardware
  Software


Process

  Mining
  Transaction
  Mining
  Transaction


End-Use

  Trading
  E-commerce and Retail
  Peer-to-Peer Payment
  Remittance


Geography

  North America

    US
    Canada


  Europe

    Germany
    Italy
    Switzerland
    The Netherlands
    UK


  APAC

    China
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The bitcoin segment is estimated to witness significant growth during the forecast period.

Bitcoin, the world's largest cryptocurrency with a market capitalization of over USD470 billion, is a decentralized digital currency that operates on a peer-to-peer (P2P) network, bypassing the need for central authorities. Bitcoin's popularity is driven by its use of blockchain technology, which ensures secure, transparent, and immutable transactions through digital signatures and cryptographic hashing. The Bitcoin network faces scalability challenges, requiring ongoing improvements to transaction throughput and mining difficulty to maintain network security. KYC procedures and AML regulations are crucial for regulatory compliance, with exchange protocols implementing strict identity verification processes. Bitcoin's value is influenced by cryptocurrency volatility, with mining pools and consensus mechanisms like Proof of Work and Proof of Stake contributing to the creation and distribution of new coins.

Wallet security is paramount, with hardware wallets and cold storage providing enhanced security compared to software wallets. Decentralized exchanges and smart contracts, enabled by the Ethereum blockchain and public key cryptography, offer privacy protocols and zero-knowledge proofs to ensure secure transactions. The market is continually evolving, with ongoing activities and patterns shaping the landscape. Approximately 8% of Americans engage in cryptocurrency trading, with stablecoins like Tether, USD Coin, Binance USD, and DAI playing a significant role in the market. Despite its volatility, Bitcoin's impact on finance and technology is undeniable.

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The Bitcoin segment was valued at USD 7.57 billion in 2019 and showed a gradual increase during the forecast period.

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Regional Analysis

North America is estimated to contribute 48% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

See How Cryptocurrency Market Demand is Rising in North America Request Free Sample

The market in North America is experiencing significant growth, driven by the presence of numerous market participants and innovative technological advancements in the region. The burgeoning demand for digital