The price of the native coin from BNB Chain (formerly BSC) grew by 50 percent in late 2021 but was much lower in 2022. On November 16, 2025, for example, a single BNB coin was worth more than 931.97 U.S. dollars - a value that is very different from the all-time high of 931.97 U.S. dollars in November 2021. Regardless, Binance Coin ranked in the top 10 most expensive cryptocurrencies in 2022. Noticeable is that the price increase of BNB in November 2021 coincides with a similar price change for Ethereum (ETH), a cryptocurrency where BNB initially originated in 2017 before coming to its own years later.BNB's history: From a reward token in 2017 to an ecosystem after 2019As the name suggests, Binance Coin, or BNB, originally started as an extension of the Binance.com trading platform, the most used cryptocurrency exchange in the world. It initially functioned on the Ethereum blockchain network as an ERC-20 token, offering incentives to owners like reduced trading fees, affiliate rewards, or a lottery ticket system ('Launchpad') that let users invest in new, Binance-selected crypto projects. In 2019, however, BNB moved away from the Ethereum network and migrated to Binance's self-developed blockchain: Binance Smart Chain, or BSC (called BNB Chain since February 2022). Here, BNB started to support a chain that initially did not focus on hosting decentralized apps but focused on high transaction speed and being able to handle large amounts of traffic.DeFi and GameFi: the main segments for BNBBSC, however, made significant strides in 2021, partly due to traffic overload and high gas prices on Ethereum, as well as the growing interest in both Decentralized Finance (DeFI) and NFTs. Much like Cardano, Solana, and Terra, Binance Smart Chain consequently became a valid alternative to Ethereum. The total value locked (TVL) of BNBs blockchain within DeFi, for example, ranked only behind that of Terra and Ethereum in early 2022. Another area where Binance's blockchain and token play a significant role is that of GameFi, or 'play-to-earn' blockchain games that are powered by cryptocurrencies. Some of the more well-known and most popular NFT games, like Alien Worlds and Axie Infinity, run on the blockchain behind BNB.

In 2021 Binance's cryptocurrency reached a market cap of more than ** billion U.S. dollars twice, after being worth less than * billion in 2020. Indeed, the digital coin's market cap rally in 2021 places it in the top three of cryptocurrencies with the highest market cap. The latest increase follows after the BNB price increased due to speculation that the demand for the coin would increase as Binance created a *********** U.S. dollar fund for new DeFi (decentralized finance) applications to be built within their own blockchain - called Binance Smart Chain or BSC.

This Dataset contains historical price data for 10 cryptocurrencies spanning from 2021 to 2024, in three different time frames: 1 day, 4 hours, and 1 hour. The data is sourced from the Binance API and stored in CSV (Comma Separated Values) format for easy accessibility and analysis.

Usage

You can use this data for various purposes such as backtesting trading strategies, conducting statistical analysis, or building predictive models related to cryptocurrency markets.

Note

• All timestamps are in UTC timezone.
• Prices are quoted in USDT (Tether).

Binance was created as a utility token for discounted trading fees in 2017, but its uses have expanded to numerous applications, including payments for transaction fees (on the Binance Chain), travel bookings, entertainment, online services, and financial services.

The trading level of Binance Coin in ************* was not as high as it was in April and, especially, *************. This sudden increase in early 2021 occured as Binance's blockchain called BSC - Binance Smart Chain - was seen as a cheaper alternative in a time when the transaction fees (gas prices) of Ethereum increased. Binance Coin or BNB essentially functions as a fuel for this BSC blockchain, a place where people can create smart contracts or decentralized finance (DeFi) apps. Binance Smart Chain ranked as the second-most important blockchain for Decentralized Finance, behind Ethereum and ahead of Solana.

All-time high price data for BNB, including the peak value, date achieved, and current comparison metrics.

If you find this dataset helpful, please UPVOTE it to show your support! 👍

Context

Binance Coin (BNB) is the native cryptocurrency of the Binance ecosystem, one of the world's largest cryptocurrency exchanges. Initially launched as an ERC-20 token, BNB has since migrated to its own blockchain, Binance Chain, and is the fundamental token powering the Binance Smart Chain (BSC). Its primary use cases include paying for transaction fees on the Binance exchange, participating in token sales, and facilitating payments for various services.

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Key Metrics (Based on Available Data)

• All-Time High: ~$686.31
• 52-Week Range: ~$244.40 - $686.31
• Blockchain: Binance Smart Chain (BSC)
• Primary Use Case: Utility token for transaction fee discounts, payments, and powering the dApp ecosystem on BSC.

Acknowledgments

This data was compiled from public financial market sources.

BNB reached its all-time high price on October 13, 2025.

This dataset contains historical price data for the top global cryptocurrencies, sourced from Yahoo Finance. The data spans the following time frames for each cryptocurrency:

BTC-USD (Bitcoin): From 2014 to December 2024 ETH-USD (Ethereum): From 2017 to December 2024 XRP-USD (Ripple): From 2017 to December 2024 USDT-USD (Tether): From 2017 to December 2024 SOL-USD (Solana): From 2020 to December 2024 BNB-USD (Binance Coin): From 2017 to December 2024 DOGE-USD (Dogecoin): From 2017 to December 2024 USDC-USD (USD Coin): From 2018 to December 2024 ADA-USD (Cardano): From 2017 to December 2024 STETH-USD (Staked Ethereum): From 2020 to December 2024

Key Features:

Date: The date of the record. Open: The opening price of the cryptocurrency on that day. High: The highest price during the day. Low: The lowest price during the day. Close: The closing price of the cryptocurrency on that day. Adj Close: The adjusted closing price, factoring in stock splits or dividends (for stablecoins like USDT and USDC, this value should be the same as the closing price). Volume: The trading volume for that day.

Data Source:

The dataset is sourced from Yahoo Finance and spans daily data from 2014 to December 2024, offering a rich set of data points for cryptocurrency analysis.

Use Cases:

Market Analysis: Analyze price trends and historical market behavior of leading cryptocurrencies. Price Prediction: Use the data to build predictive models, such as time-series forecasting for future price movements. Backtesting: Test trading strategies and financial models on historical data. Volatility Analysis: Assess the volatility of top cryptocurrencies to gauge market risk. Overview of the Cryptocurrencies in the Dataset: Bitcoin (BTC): The pioneer cryptocurrency, often referred to as digital gold and used as a store of value. Ethereum (ETH): A decentralized platform for building smart contracts and decentralized applications (DApps). Ripple (XRP): A payment protocol focused on enabling fast and low-cost international transfers. Tether (USDT): A popular stablecoin pegged to the US Dollar, providing price stability for trading and transactions. Solana (SOL): A high-speed blockchain known for low transaction fees and scalability, often seen as a competitor to Ethereum. Binance Coin (BNB): The native token of Binance, the world's largest cryptocurrency exchange, used for various purposes within the Binance ecosystem. Dogecoin (DOGE): Initially a meme-inspired coin, Dogecoin has gained a strong community and mainstream popularity. USD Coin (USDC): A fully-backed stablecoin pegged to the US Dollar, commonly used in decentralized finance (DeFi) applications. Cardano (ADA): A proof-of-stake blockchain focused on scalability, sustainability, and security. Staked Ethereum (STETH): A token representing Ethereum staked in the Ethereum 2.0 network, earning staking rewards.

This dataset provides a comprehensive overview of key cryptocurrencies that have shaped and continue to influence the digital asset market. Whether you're conducting research, building prediction models, or analyzing trends, this dataset is an essential resource for understanding the evolution of cryptocurrencies from 2014 to December 2024.

Daily historical price data for BNB including high, low, open, close, and percentage difference over the most recent 24 days.

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

Content

These are historical datasets of the current top 10 most popular cryptocurrencies. As of now: 1. Bitcoin 2. Ethereum 3. Binance Coin 4. Tether 5. Solana 6. Cardano 7. USD Coin 8. XRP 9. Polkadot 10. Terra

Date : Date of observation Open : Opening price on the given day High : Highest price on the given day Low : Lowest price on the given day Close : Closing price on the given day Volume : Volume of transactions on the given day Market Cap : Market capitalization

Acknowledgements

Found all the historical data from website: https://coinmarketcap.com/

BNB price data for 2025-11-23 including currency, value, high, low, open, close, and percentage difference.

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Context

Wait, What's a cryptocurrency🤔🤔?

• A cryptocurrency or crypto is a digital asset designed to work as a medium of exchange wherein individual coin ownership records are stored in a ledger existing in a form of a computerized database using strong cryptography to secure transaction records, to control the creation of additional coins, and to verify the transfer of coin ownership.

• A report from exchange Crypto.com estimated that there were 106 million crypto users around the world in January, following a 16% jump in participants last month alone.

• A separate survey from financial advisory group deVere found 70% of its clients aged over 55 had already invested in digital currencies or were planning to do so, in 2021, despite bitcoin and others being strongly associated with younger, millennial investors.

Interesting facts about cryptocurrency:

1. You Can’t Lose Your Wallet
2. Beware of Cryptojacking
3. Bitcoin Inventor Is Unknown
4. Cryptocurrency Value Is Extremely Volatile
5. China Is The Biggest Miner Of Cryptocurrency
6. Cryptocurrency Can’t Be Physically Banned
7. Around 6 countries Have Banned Cryptocurrency
8. Cryptocurrency Is Great For Ecommerce
9. International Transactions Without Exchange Resource: 9 facts that you need to know about cryptocurrency

Content

The Goal of the dataset is to bring the historical data of the top 100 cryptocurrencies( Ranked based on the market cap)

• What is Market capitalization?

Market capitalization is an indicator that measures and keeps track of the market value of a cryptocurrency. Market cap is used as an indicator of the dominance and popularity of cryptocurrencies. Though this metric is widely used, more information before making trading decisions is recommended.

About dataset

• The dataset is a Zip file that consists of the crypto prices of nearly 75 coins from their start date till 30/11/2021 (Also working on the other 25 cryptocurrency data as promised). A leaderboard file as of 30/11/2021 has also been included in the zip file named Current Crypto Leaderboard.csv, which has the market capitalization, rank, coin name, symbol, Price, and a tagging variable that mentions the availability of the corresponding coin in the dataset.

Historical data(day-interval) of all the coins mentioned in the leaderboard is provided in the dataset. The leaderboard is subject to change as the market cap increases/decreases. Any new coin which enters the top 100 will be added to the dataset. The leaderboard and the dataset will be updated on a monthly basis.

Starter Notebook:

1. What is Cryptocurrency? 🤔
2. What, Why, Where, and How of Blockchain 🤔🙄
3. How to identify bull market using candlestick 🐂
4. Bitcoin Volatility analysis with interactive visualization 📈
5. Performance analysis of Top 10 Crypto's in Oct 2021 🔟💵

Content

Note: The datasets consist of the following columns and will be updated on a monthly basis

| No |Columns | Descriptions | | -- | -- | -- | | 1 | Date | Date of the crypto prices | | 2 | Close | Closing prices of crypto(dollars) | | 3 | Open | Opening price of crypto on the respective date(Dollars) | | 4 | High | Highest price of crypto on the respective date(Dollars) | | 5 | Low | Lowest price of crypto on the respective date(Dollars) | | 6 | Vol. | Volume of crypto on the respective date(Dollars). |

Disclaimer

The author doesn't recommend or advise investing in any of these coins mentioned as each investment is subject to risk. The dataset is purely for research and exploration purposes to understand the behavior and volatility of the crypto coins.

Inspiration

Do you believe that cryptocurrencies will revolutionize the industry? Well, I believe it has already begun to.

• Are cryptocurrencies the future?
• How volatile will these cryptocurrencies be?
• Is cryptocurrency a good investment?
• Can we predict the prices of cryptocurrency?
• Is it better than the other traditional investment assets like Stocks, Funds, Tangibles?
• Is investing in crypto a good diversification strategy?

and so on and on. There are too many questions that can arise given that we have limited information. But let's make the most out of it and understand these cryptos.

Task✍️

• EDA on trending & pot...

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...

Bitcoin Historical Dataset 3M records from 2017-2023

Context:

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

Dataset Details:

Total Number of Entries: 3.126.000

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

Data Type: csv

Size: 133 MB

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

Content:

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

Inspiration:

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

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

Acknowledgements:

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

Licensing:

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

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

Context

Interest in cryptocurrencies continues to increase in recent years but there is a huge confusion about price trends and market movements in general. This data set aims to help analysis studies such as understanding the market movements of cryptocurrencies and making future price predictions.

Content

This dataset contains all historical daily prices (Open, High, Low, Close), volume and market cap data for 20 coins listed below: - Bitcoin - Ethereum - XRP - Tether - Litecoin - Bitcoin Cash - Chainlink - Cardano - Polkadot - Binance Coin - Stellar - USD Coin - Bitcoin SV - EOS - Monero - NEM - Wrapped Bitcoin - Tron - Tezos - Crypto.com Coin

Acknowledgements

CoinMarketCap.com: Data source (There might be additional sources in the further versions)

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?

Get Key Insights on Market Forecast (PDF) Request Free Sample

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.

Request Free Sample

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

Request Free Sample

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

Context:

This dataset is an extra updating dataset for the G-Research Crypto Forecasting competition.

Introduction

This is a daily updated dataset, automaticlly collecting market data for G-Research crypto forecasting competition. The data is of the 1-minute resolution, collected for all competition assets and both retrieval and uploading are fully automated. see discussion topic.

The Data

For every asset in the competition, the following fields from Binance's official API endpoint for historical candlestick data are collected, saved, and processed.

1. **timestamp** - A timestamp for the minute covered by the row.
2. **Asset_ID** - An ID code for the cryptoasset.
3. **Count** - The number of trades that took place this minute.
4. **Open** - The USD price at the beginning of the minute.
5. **High** - The highest USD price during the minute.
6. **Low** - The lowest USD price during the minute.
7. **Close** - The USD price at the end of the minute.
8. **Volume** - The number of cryptoasset u units traded during the minute.
9. **VWAP** - The volume-weighted average price for the minute.
10. **Target** - 15 minute residualized returns. See the 'Prediction and Evaluation section of this notebook for details of how the target is calculated.
11. **Weight** - Weight, defined by the competition hosts [here](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)
12. **Asset_Name** - Human readable Asset name.

Indexing

The dataframe is indexed by timestamp and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest-running pairs.

Usage Example

The following is a collection of simple starter notebooks for Kaggle's Crypto Comp showing PurgedTimeSeries in use with the collected dataset. Purged TimesSeries is explained here. There are many configuration variables below to allow you to experiment. Use either GPU or TPU. You can control which years are loaded, which neural networks are used, and whether to use feature engineering. You can experiment with different data preprocessing, model architecture, loss, optimizers, and learning rate schedules. The extra datasets contain the full history of the assets in the same format as the competition, so you can input that into your model too.

Baseline Example Notebooks:

• Neural Network Starter
• LightGBM Starter
• Catboost Starter
• XGBoost Starter
• TabNet Starter
• Reinforcement Learning (PPO) Starter

These notebooks follow the ideas presented in my "Initial Thoughts" here. Some code sections have been reused from Chris' great (great) notebook series on SIIM ISIC melanoma detection competition here

Loose-ends:

This is a work in progress and will be updated constantly throughout the competition. At the moment, there are some known issues that still needed to be addressed:

• VWAP: - At the moment VWAP calculation formula is still unclear. Currently the dataset uses an approximation calculated from the Open, High, Low, Close, Volume candlesticks. [Waiting for competition hosts input]
• Target Labeling: There exist some mismatches to the original target provided by the hosts at some time intervals. On all the others - it is the same. The labeling code can be seen here. [Waiting for competition hosts] input]
• Filtering: No filtration of 0 volume data is taken place.

Example Visualisations

Opening price with an added indicator (MA50): https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt="">

Volume and number of trades: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

License

This data is being collected automatically from the crypto exchange Binance.

The most popular Ethereum trade on November 27, 2025 involved the pair Ethereum/Tether pair on Coinup.io, making up nearly half of total 24h trade volume. Trades involving Ethereum and Tether were also frequent on other exchanges, such as Binance, Bybit, and Tapbit. Among the biggest cryptocurrency exchanges in the world, Ethereum was traded relatively frequently on Binance – having multiple entries in this list, with the ETH/FDUSD and ETH/BTC pairs—whereas no trades were observed for a platform like Mandala Exchange.