The revenue in the cryptocurrency market in Southeast Asia was estimated at *** billion U.S. dollars in 2025. The revenue was estimated to increase to nearly *** billion U.S. dollars in 2026.

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.

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 *******.

The global user base of cryptocurrencies increased by nearly *** percent between 2018 and 2020, only to accelerate further in 2022. This is according to calculations from various sources, based on information from trading platforms and on-chain wallets. Increasing demographics might initially be attributed to a rise in the number of accounts and improvements in identification. In 2021, however, crypto adoption continued as companies like Tesla and Mastercard announced their interest in cryptocurrency. Consumers in Africa, Asia, and South America were most likely to be owners of cryptocurrencies, such as Bitcoin, in 2022. How many of these users have Bitcoin? User figures for individual cryptocurrencies are unavailable. Bitcoin, for instance, was created not to be tracked by banks and governments. What comes closest is the trading volume of Bitcoin against domestic fiat currencies. The source assumed, however, that UK residents were the most likely to make Bitcoin transactions with British pounds. This assumption might not be accurate for popular fiat currencies worldwide. Moreover, coins such as Tether or Binance Coin - referred to as "stablecoins"—are" often used to buy and sell Bitcoin. Those coins were not included in that particular statistic. Wallet usage declined Total crypto wallet downloads were significantly lower in 2022 than in 2021. The number of downloads of Coinbase, Blockchain.com, and MetaMask, among others, declined as the market hit a "crypto winter" over the year. The crypto market also suffered bad press when FTX, one of the largest crypto exchanges based on market share, collapsed in November 2022. Binance, on the other hand, regained some of the market share it had lost between September and October 2022, growing by *** percentage points in November. As of 2025, the highest forecast for the global user base of cryptocurrencies is projected to reach *** million.

In 2024, the revenue of cryptocurrencies in the digital assets market in Singapore was estimated to reach around *** million U.S. dollars. Statista Market Insights forecasted that the revenue will reach more than *** million U.S. dollars by 2026.

This dataset provides the history of daily prices of Bitcoin. The data starts from Jan-2018 and is updated till Jan-2022. All the column descriptions are provided. This is per- minute data for price change of cryptocurrency.

The revenue in the cryptocurrency market in South Asia was estimated at **** billion U.S. dollars in 2024. The revenue was forecast to increase to **** billion U.S. dollars in 2026.

Dataset Overview: 📊🕰️📈

The dataset comprises eight files, each capturing Bitcoin's journey from 2018 to 2022, with varying time intervals. Columns include:

1. datetime: 📅

   • Timestamp or date record.

2. open: 🌐

   • Initial Bitcoin price.

3. high: 🔝

   • Peak Bitcoin value.

4. low: 🔻

   • Lowest Bitcoin value.

5. close: 📉🔚

   • Final Bitcoin price.

6. volume: 🔄📊

   • Total Bitcoin units traded.

File Descriptions: 🗃️

1. btc_15m.csv: 🔄🕒

   • Fifteen-minute intervals.
   • Captures short-term fluctuations.

2. btc_1h.csv: 🔄⏰📈

   • Hourly intervals.
   • Reveals key trends and fluctuations.

3. btc_2h.csv: 🔄📊

   • Two-hour intervals.
   • Offers insights into medium-term dynamics.

4. btc_30m.csv: 🔄🕒📉

   • Thirty-minute intervals.
   • Provides detailed short-term trend analysis.

5. btc_3m.csv: 🔄⚡📊

   • Three-minute intervals.
   • Suitable for capturing rapid market changes.

6. btc_4h.csv: 🔄🕓📉

   • Four-hour intervals.
   • Balances short and medium-term insights.

7. btc_5m.csv: 🔄🕔📈

   • Five-minute intervals.
   • Granular analysis of short-term movements.

8. btc_6h.csv: 🔄🕕📉

   • Six-hour intervals.
   • Offers a broader view of market trends.

Columns and files collectively provide a visually enriched exploration of Bitcoin's price behavior, facilitating analysis across various timeframes to understand both short-term volatility and longer-term market trends. 🚀💹

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.

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

This dataset contains comprehensive historical data on the Crypto Fear and Greed Index, collected from the Alternative.me website. The Crypto Fear and Greed Index is a popular metric used to gauge the emotions and sentiments of the cryptocurrency market, providing insights into market behavior and potential future movements.

Key Features

Date: The specific date for each index value.

Value: The numerical value of the Fear and Greed Index, ranging from 0 (extreme fear) to 100 (extreme greed).

Classification: The sentiment classification based on the index value, such as Extreme Fear, Fear, Neutral, Greed, and Extreme Greed.

Dataset Highlights

Time Range: The dataset covers daily index values from 2018 to the present.

Source: All data is sourced from the Alternative.me, ensuring accuracy and reliability.

Usage: Ideal for market sentiment analysis, trend identification, and algorithmic trading strategies.

This dataset serves as a valuable resource for researchers, analysts, and enthusiasts looking to understand market psychology and enhance their cryptocurrency investment strategies.

Context

This data includes daily open, high, low, close values for all crypto currencies (since April 2013) as well as Daily Lunar Geocentric data (distance, declination, brightness, illumination %, and constellation). Please note that I have consolidated this data from the below two sources (originally submitted by MCrescenzo and jvent) after my mother asked me if there's a correlation between the lunar status and the financial markets.

Content

This data includes daily open, high, low, close values for all crypto currencies (since April 2013 until January 2018) as well as Daily Lunar Geocentric data (distance, declination, brightness, illumination %, and constellation) for same timeframe.

Acknowledgements

Lunar Daily Distance and Declination : 1800-2020. Click for original data submitted by MCrescenzo Every Cryptocurrency Daily Market Price. Click for original data submitted by jvent

Inspiration

• Is there any correlation between cryptocurrencies and Lunar Phases?
• Can we predict cryptocurrency movements by the Lunar Phases?

View daily updates and historical trends for Ethereum Market Cap. Source: Etherscan. Track economic data with YCharts analytics.

In 2024, the average revenue per user in the 'Cryptocurrencies' segment of the digital assets market in Vietnam was modeled to be ***** U.S. dollars. Between 2018 and 2024, the figure dropped by ***** U.S. dollars, though the decline followed an uneven course rather than a steady trajectory. From 2024 to 2026, the average revenue per user will increase by ***** U.S. dollars.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Cryptocurrencies.

market_cap_all_dailyMarket cap of all cryptocurrency until Feb 8, 2018 from CoinMarketCapclose_price_all_dailyCrptocurrency daily closing cprice until Feb 8, 2018Cryptocurrency TypeCoin or Token label of all cryptocurrencies until Feb 8, 2018last_update.csv

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.

Crypto news data was collected using the Coindesk API, covering a comprehensive range of articles from 2018 to the present. This dataset provides valuable insights into cryptocurrency trends, sentiment, and major events over the years. It serves as a key resource for analyzing the relationship between news narratives and market behavior in the crypto space.

The number of users in the 'Cryptocurrencies' segment of the fintech market in Thailand was forecast to continuously increase between 2024 and 2028 by in total *** million users (****** percent). After the ***** consecutive increasing year, the indicator is estimated to reach ***** million users and therefore a new peak in 2028. Notably, the number of users of the 'Cryptocurrencies' segment of the fintech market was continuously increasing over the past years.Find other key market indicators concerning the user penetration and average revenue per user (ARPU). The Statista Market Insights cover a broad range of additional markets.

Dataset

Price, trading rates, and volume of Binance transactions in Bitcoin pairs.

Dataset features list

Timestamp: (GMT -3):

Milliseconds time from 2017-31-12 to 2023-06-01 with 15 minutes interval.

volumeRisky:

Volume from Bitcoin to altcoins, memecoins or NFTs.

volumeSafe

Volume from Bitcoin to FIAT or Stable coins.

tradesRisky

Trades from Bitcoin to altcoins, memecoins or NFTs.

tradesSafe

Trades from Bitcoin to FIAT or Stable coins.

price

Price in USDT

Why are these features helpful?

The crypto market operates on cycles driven by FOMO (Fear of Missing Out) and FUD (Fear, Uncertainty, and Doubt). Every four years, Bitcoin undergoes a halving, reducing the mined supply by half. This dataset focuses on the 2020 halving, providing insights into the flow of money during this period.

Contains daily Bitcoin prices (Open, High, Low, Close, Volume). Includes Crypto Fear & Greed Index, showing market sentiment. Useful for crypto trading strategies, ML models & finance research.