Cryptocurrencies

Finage offers you more than 1700+ cryptocurrency data in real time.

With Finage, you can react to the cryptocurrency data in Real-Time via WebSocket or unlimited API calls. Also, we offer you a 7-year historical data API.

You can view the full Cryptocurrency market coverage with the link given below. https://finage.s3.eu-west-2.amazonaws.com/Finage_Crypto_Coverage.pdf

The market is projected to reach USD 1,074 Million in 2025 and is expected to grow to USD 7,975.7 Million by 2035, registering a CAGR of 22.2% over the forecast period. The expansion of Web3 infrastructure, advancements in multi-chain API solutions, and increasing demand for secure and scalable blockchain integrations are fueling market expansion. Additionally, rising adoption of tokenization, cross-chain interoperability, and API-driven NFT marketplaces is shaping the industry's future.

Country-wise Insights

Competitive Outlook

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

This dataset provides comprehensive access to financial market data from Google Finance in real-time. Get detailed information on stocks, market quotes, trends, ETFs, international exchanges, forex, crypto, and related news. Perfect for financial applications, trading platforms, and market analysis tools. The dataset is delivered in a JSON format via REST API.

Crypto Data Platform Market Outlook

According to our latest research, the global Crypto Data Platform market size reached USD 1.85 billion in 2024, reflecting robust adoption across institutional and retail segments. The market is expected to expand at a CAGR of 18.2% during the forecast period, with revenues projected to reach USD 9.25 billion by 2033. This growth is primarily fueled by the increasing demand for real-time data analytics, advanced trading solutions, and regulatory compliance tools in the rapidly evolving cryptocurrency industry. The surge in digital asset adoption, coupled with heightened institutional participation and technological advancements, is driving the need for comprehensive, scalable, and secure crypto data platforms worldwide.

A significant growth factor for the Crypto Data Platform market is the exponential rise in crypto trading volumes and the proliferation of digital assets. As institutional investors, hedge funds, and family offices continue to increase their exposure to cryptocurrencies, the requirement for accurate, timely, and actionable data has become paramount. Crypto data platforms are now pivotal in providing market participants with historical and real-time price feeds, blockchain analytics, on-chain indicators, and sentiment analysis. These platforms also enable seamless integration with trading systems and portfolio management tools, empowering users to make informed investment decisions. The ongoing innovation in decentralized finance (DeFi) and the emergence of new digital asset classes further intensify the demand for robust data solutions, positioning crypto data platforms as a critical infrastructure layer in the digital economy.

Another key driver is the growing emphasis on regulatory compliance and risk management across the crypto ecosystem. As governments and regulatory bodies worldwide introduce stricter frameworks for anti-money laundering (AML), know-your-customer (KYC), and market surveillance, enterprises and exchanges are increasingly leveraging crypto data platforms to ensure adherence to these mandates. These platforms offer advanced compliance modules, transaction monitoring, and risk analytics, enabling stakeholders to mitigate operational and reputational risks. The integration of artificial intelligence (AI) and machine learning (ML) into these solutions further enhances their capability to detect anomalies, prevent fraud, and deliver predictive insights, thereby fostering trust and transparency in the market.

The rapid advancement in cloud computing, API-driven architectures, and interoperability standards is also propelling the Crypto Data Platform market forward. As digital asset markets operate around the clock and across geographies, there is a pressing need for scalable, resilient, and highly available data infrastructure. Cloud-based deployment models facilitate seamless access to vast datasets, while API integrations enable real-time connectivity with trading platforms, wallets, and external data sources. This technological evolution is enabling both established financial institutions and emerging fintech startups to harness the power of crypto data without significant upfront investments in hardware or IT resources. As a result, the market is witnessing accelerated product innovation, ecosystem collaboration, and the entry of new players offering specialized data services.

Regionally, North America continues to dominate the Crypto Data Platform market, accounting for the largest revenue share in 2024. The region’s leadership is underpinned by the presence of major crypto exchanges, institutional investors, and a mature regulatory landscape. Europe and Asia Pacific are also witnessing rapid adoption, driven by progressive regulatory initiatives, growing fintech ecosystems, and increasing retail investor participation. Latin America and the Middle East & Africa are emerging as promising markets, supported by rising digital asset adoption and government-led blockchain initiatives. However, regional disparities in regulatory clarity, technological infrastructure, and capital market maturity present both opportunities and challenges for market participants.

Component Analysis

The Crypto Data Platform market by component is segmented into Solutions and Services, each playing a vital role in the industry’s value chain. Solutions encompass the core software platforms that aggregate, normali

Financial Data Exchange API Integration Market Outlook

According to our latest research, the Financial Data Exchange API Integration market size reached USD 3.42 billion globally in 2024. The market is experiencing a robust expansion, registering a CAGR of 23.1% from 2025 to 2033. By the end of 2033, the market is forecasted to attain a value of USD 25.09 billion. This remarkable growth trajectory is propelled by the increasing adoption of open banking, regulatory mandates for data transparency, and the growing demand for seamless connectivity between financial institutions, fintech firms, and third-party service providers.

One of the most significant growth factors driving the Financial Data Exchange API Integration market is the widespread adoption of open banking initiatives across the globe. Regulatory frameworks such as PSD2 in Europe, the Consumer Data Right in Australia, and similar policies in North America are compelling banks and financial institutions to provide secure, standardized API access to customer data. This not only enhances customer experience by enabling personalized financial services but also fosters innovation by allowing third-party developers to build novel financial products. As a result, the market is witnessing a surge in demand for robust, scalable, and secure API integration solutions that can handle complex data exchange requirements while ensuring compliance with evolving regulatory standards.

Another pivotal driver fueling the market’s expansion is the rapid digital transformation within the financial services sector. Financial institutions are increasingly leveraging APIs to enhance operational efficiency, streamline workflows, and deliver real-time services such as instant payments, automated wealth management, and digital lending. The proliferation of fintech startups and the entry of technology giants into the financial domain have further intensified the need for seamless data connectivity and interoperability. This has led to a significant uptick in investments in API integration platforms and services, as organizations seek to modernize legacy systems, reduce integration complexities, and accelerate time-to-market for new digital offerings.

The growing emphasis on customer-centricity and data-driven decision-making is also contributing to the robust growth of the Financial Data Exchange API Integration market. Financial institutions are increasingly harnessing APIs to aggregate and analyze vast volumes of customer data from multiple sources, enabling them to deliver hyper-personalized products, improve risk assessment, and enhance fraud detection capabilities. The integration of advanced technologies such as artificial intelligence, machine learning, and blockchain with financial data exchange APIs is opening up new avenues for innovation, further amplifying the market’s growth potential. Moreover, the shift towards cloud-based API integration solutions is enabling organizations to achieve greater scalability, flexibility, and cost-efficiency, thereby accelerating the adoption of API-driven architectures across the financial ecosystem.

From a regional perspective, North America currently dominates the Financial Data Exchange API Integration market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of a highly developed financial services infrastructure, early adoption of open banking regulations, and a vibrant fintech ecosystem are key factors contributing to North America’s leadership. However, the Asia Pacific region is expected to exhibit the fastest growth during the forecast period, driven by rapid digitalization, increasing smartphone penetration, and supportive government policies promoting financial inclusion. Europe remains a significant market due to its stringent regulatory environment and proactive stance on data privacy and security. Meanwhile, Latin America and the Middle East & Africa are gradually emerging as promising markets, fueled by rising investments in fintech and digital banking initiatives.

Component Analysis

The Component segment of the Financial Data Exchange API Integration market is categorized into Software, Services, and Platforms. Software solutions form the backbone of API integration, providing the essential tools and frameworks required to establish secure, scalable, and co

Crypto Exchange Platform Market Outlook

According to our latest research, the global Crypto Exchange Platform market size reached USD 45.3 billion in 2024, reflecting robust momentum driven by increasing digital asset adoption and institutional participation. The market is projected to grow at a CAGR of 15.2% from 2025 to 2033, reaching a forecasted value of USD 155.1 billion by 2033. This remarkable growth trajectory is primarily fueled by expanding cryptocurrency adoption, technological advancements in blockchain infrastructure, and an evolving regulatory landscape that is increasingly supportive of digital asset trading platforms.

One of the most significant growth factors for the Crypto Exchange Platform market is the surge in global cryptocurrency adoption among both retail and institutional investors. As digital currencies become more mainstream, both individuals and organizations are seeking secure, reliable, and user-friendly platforms to facilitate trading, storage, and management of crypto assets. The growing popularity of decentralized finance (DeFi) and the increasing integration of cryptocurrencies into traditional financial systems have further accelerated the demand for robust exchange platforms. Additionally, the introduction of new digital assets and tokens, including stablecoins and non-fungible tokens (NFTs), has diversified trading opportunities, attracting a broader user base to these platforms.

Technological innovation continues to play a pivotal role in shaping the Crypto Exchange Platform market. Advances in blockchain technology, enhanced security protocols, and the integration of artificial intelligence and machine learning for fraud detection and risk management have significantly improved platform reliability and user trust. The emergence of hybrid exchange models, combining the best features of centralized and decentralized exchanges, is also gaining traction, offering users increased liquidity, security, and transparency. Furthermore, the proliferation of mobile trading applications and API-driven trading solutions is making crypto trading more accessible, further driving market growth.

The regulatory environment is another critical growth factor influencing the Crypto Exchange Platform market. Governments and regulatory bodies worldwide are increasingly recognizing the importance of establishing clear frameworks for digital asset trading. Regulatory clarity not only boosts investor confidence but also encourages institutional participation, which is essential for market maturity. Recent moves by countries to implement licensing regimes, enforce anti-money laundering (AML) and know-your-customer (KYC) requirements, and provide legal recognition to cryptocurrencies have created a more stable and predictable operating environment for crypto exchanges, thereby supporting sustained market expansion.

Regionally, the Asia Pacific region continues to dominate the Crypto Exchange Platform market, driven by high levels of crypto adoption in countries like Japan, South Korea, and Singapore. North America remains a significant market due to its advanced financial infrastructure and active regulatory engagement, while Europe is witnessing rapid growth owing to progressive regulatory initiatives and increasing institutional interest. Emerging markets in Latin America and the Middle East & Africa are also showing strong potential, fueled by rising demand for alternative financial solutions and increasing mobile internet penetration. As the market continues to globalize, regional trends and regulatory developments will play a crucial role in shaping the future landscape of crypto exchange platforms.

Component Analysis

The Component segment in the Crypto Exchange Platform market is divided into Software and Services, both of which are indispensable for the optimal functioning of crypto trading platforms. Software forms the backbone of exchange operations, encompassing trading engines, user interfaces, wallet integration, and security protocols. The increasing demand for high-performance and secure trading environments has led to continuous innovation in exchange software, including the integration of advanced analytics, real-time data processing, and automated trading features. As the market matures, software solutions are evolving to address scalability challenges, support a broader range of digital assets, and p

🚀 Title: One-Hour High-Frequency Crypto Snapshot – Top 250 Coins, ~75K Ticks

📝 Overview

This dataset captures live market snapshots every 12 seconds for the top 250 cryptocurrencies, all fetched over a one-hour period using the CoinGecko Demo API. Perfect for real-time trend tracking, volatility analysis, and comparison across major coins.

📊 Schema Summary

🎯 Use Cases

• Visualize real-time price evolution for Bitcoin, Ethereum, and other major coins
• Compute rolling averages and short-term volatility
• Perform coin-to-coin comparisons (price dynamics, volume trends)
• Explore volume-price correlations, and flag anomaly detection
• Build heatmaps, live dashboards, or time-series models

📌 Attribution & Licensing

Data collected via CoinGecko API—**Data powered by CoinGecko**

Discover Market Research Intellect's Blockchain API Management Platform Market Report, worth USD 1.2 billion in 2024 and projected to hit USD 7.5 billion by 2033, registering a CAGR of 27.5% between 2026 and 2033.Gain in-depth knowledge of emerging trends, growth drivers, and leading companies.

Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

India's blockchain technology market, valued at over USD 0.88 billion in 2023, is witnessing significant growth due to increasing investments in digital infrastructure.

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.

Crypto-Native Payroll Market Outlook

According to our latest research, the global crypto-native payroll market size in 2024 reached USD 1.14 billion, reflecting a robust adoption curve across diverse industries. The market is expected to grow at a CAGR of 22.7% from 2025 to 2033, reaching an anticipated value of USD 8.41 billion by 2033. This impressive growth trajectory is primarily driven by the increasing acceptance of cryptocurrencies as legitimate payment instruments, the demand for borderless payroll solutions, and the proliferation of blockchain-enabled financial services. As per our latest research, the market is witnessing a surge in both enterprise and SME adoption, underpinned by the promise of faster settlements, reduced transaction costs, and enhanced transparency.

One of the primary growth factors for the crypto-native payroll market is the growing globalization of the workforce. With remote and distributed teams becoming the norm, especially in the IT and digital services sectors, traditional payroll systems often struggle with cross-border payments, compliance, and currency conversion complexities. Crypto-native payroll solutions offer seamless, real-time, and cost-effective remuneration options that bypass conventional banking channels, making them particularly attractive to companies with multinational operations. This shift is further supported by the increasing regulatory clarity in major economies, which is encouraging organizations to explore cryptocurrency-based payroll as a viable and compliant alternative.

Another significant driver is the rise of stablecoins and programmable payments, which have addressed many of the volatility and operational risks previously associated with cryptocurrency compensation. Stablecoins, pegged to fiat currencies, offer the stability required for payroll operations, while smart contract-based solutions enable automated, auditable, and conditional payments. This technological evolution is empowering both employers and employees to customize payment schedules, split payments across multiple currencies, and integrate payroll with decentralized finance (DeFi) platforms for additional financial services. The integration of such features is accelerating the adoption of crypto-native payroll, especially among tech-savvy and innovation-driven enterprises.

Additionally, the competitive landscape and the need for talent acquisition in high-growth sectors are pushing organizations to offer crypto-based payroll as a differentiator. Employees, particularly in the technology, blockchain, and creative industries, are increasingly seeking compensation in cryptocurrencies for reasons such as investment potential, financial autonomy, and ease of cross-border transactions. This trend is compelling companies to adopt crypto-native payroll solutions to attract and retain top talent, thereby fueling market expansion. Furthermore, the enhanced security, transparency, and traceability provided by blockchain technology are addressing concerns around fraud, compliance, and auditability, making crypto-native payroll solutions more appealing to enterprises of all sizes.

The integration of Payroll API solutions is becoming increasingly significant in the crypto-native payroll market. These APIs facilitate seamless communication between payroll systems and other financial platforms, enhancing the efficiency and accuracy of payroll processing. By leveraging Payroll API, organizations can automate data exchange, reduce manual errors, and ensure real-time updates across their financial systems. This capability is particularly beneficial for companies operating in multiple jurisdictions, as it simplifies compliance with diverse regulatory requirements and streamlines cross-border transactions. As the demand for integrated financial solutions grows, Payroll API is poised to play a crucial role in the evolution of crypto-native payroll systems, offering organizations a competitive edge in managing their payroll operations.

From a regional perspective, North America currently leads the crypto-native payroll market, accounting for the largest share due to early regulatory advancements, high digital literacy, and the presence of major blockchain innovators. Europe follows closely, driven by progressive regulatory frameworks and the rapid digitization of finan

The Blockchain API Management Platform market is emerging as a pivotal sector within the rapidly evolving landscape of digital transformation, leveraging blockchain technology to provide secure, efficient, and scalable solutions for various industries. As businesses increasingly seek to integrate blockchain capabili

Crypto Treasury Operations Platform Market Outlook

According to our latest research, the global Crypto Treasury Operations Platform market size reached USD 1.47 billion in 2024, driven by the surging adoption of digital assets for enterprise treasury management and the increasing need for streamlined, secure, and compliant operations. The market is expected to grow at a robust CAGR of 18.2% during the forecast period, reaching USD 6.25 billion by 2033. This remarkable growth is primarily fueled by the proliferation of institutional participation in the crypto ecosystem, rising regulatory scrutiny, and the demand for advanced tools that enable real-time visibility, risk mitigation, and automation in crypto asset management.

One of the key growth factors propelling the Crypto Treasury Operations Platform market is the rapid institutionalization of cryptocurrencies and digital assets. As major corporations, financial institutions, and fintech innovators increasingly integrate crypto assets into their balance sheets and transaction flows, the complexity of treasury operations has escalated. Enterprises now require robust platforms that offer end-to-end capabilities for liquidity management, risk assessment, compliance, and seamless settlements. The need for real-time visibility into holdings, automated reconciliation, and integration with both traditional finance and decentralized finance (DeFi) ecosystems is pushing organizations to invest in specialized crypto treasury solutions. Furthermore, the growing sophistication of crypto markets, including the advent of stablecoins, tokenized assets, and cross-border payment rails, is expanding the functional requirements for treasury platforms, driving both innovation and market expansion.

Another significant driver is the evolving regulatory landscape, which is compelling organizations to prioritize compliance and risk management in their crypto operations. With global regulators tightening their oversight on digital asset transactions, particularly concerning anti-money laundering (AML), know-your-customer (KYC), and tax reporting, treasury teams face mounting pressure to implement platforms that ensure transparency, auditability, and adherence to jurisdiction-specific rules. Crypto treasury operations platforms are rising to meet these demands by embedding advanced compliance modules, automated reporting tools, and real-time monitoring of wallet activities. This not only reduces the risk of regulatory penalties but also enhances stakeholder confidence and facilitates smoother engagement with banking partners and auditors.

The relentless pace of technological innovation is also catalyzing market growth. The integration of artificial intelligence, blockchain analytics, and API-driven architectures within crypto treasury platforms is enabling unprecedented levels of automation, data-driven decision-making, and interoperability. These advancements are particularly valuable for enterprises managing multi-chain portfolios, engaging in decentralized finance protocols, or seeking to optimize liquidity across global subsidiaries. The ability to automate complex workflows, predict cash flows, and dynamically allocate assets is transforming treasury operations from a back-office function into a strategic enabler of growth. As a result, organizations are increasingly viewing crypto treasury platforms as mission-critical infrastructure, further accelerating adoption across diverse industry verticals.

From a regional perspective, North America currently dominates the Crypto Treasury Operations Platform market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The region’s leadership is underpinned by a mature digital asset ecosystem, a high concentration of institutional investors, and proactive regulatory engagement. However, Asia Pacific is expected to exhibit the fastest growth rate through 2033, fueled by rapid fintech innovation, increasing enterprise crypto adoption, and supportive regulatory frameworks in key markets such as Singapore, Hong Kong, and Japan. Meanwhile, Europe continues to benefit from harmonized digital asset regulations and strong demand from both traditional financial institutions and emerging fintech players.

Component Analysis

The Crypto Treasury Operations Platform market is segmented by component into Software and Services, each playing a critical role in enabling

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.

Cryptocurrency Trading Analytics AI Market Outlook

According to our latest research, the global cryptocurrency trading analytics AI market size reached USD 1.47 billion in 2024, reflecting a strong upward trajectory driven by the increasing adoption of artificial intelligence in financial markets. The market is projected to expand at a robust CAGR of 24.1% from 2025 to 2033, with the forecasted market size expected to reach USD 11.88 billion by 2033. This remarkable growth is primarily fueled by the surge in digital asset trading volumes, the growing sophistication of trading strategies, and the demand for advanced analytics to navigate volatile cryptocurrency markets.

The rapid evolution of the cryptocurrency trading analytics AI market is largely attributed to the proliferation of digital assets and the increasing complexity of trading environments. As institutional and retail investors alike seek to optimize their trading strategies, AI-powered analytics platforms are becoming indispensable tools for extracting actionable insights from vast amounts of market data. The integration of machine learning algorithms and natural language processing enables these platforms to analyze price movements, identify trading patterns, and generate predictive models with a high degree of accuracy. This technological advancement not only enhances decision-making but also reduces the risks associated with manual trading, further propelling the adoption of AI-driven analytics solutions across the industry.

Another significant growth factor is the heightened regulatory scrutiny and the need for robust risk management frameworks in the cryptocurrency ecosystem. As governments and regulatory bodies implement stricter compliance requirements, trading platforms and institutional investors are increasingly turning to AI-based analytics to ensure transparency, detect fraudulent activities, and maintain market integrity. The ability of AI systems to monitor transactions in real-time, flag suspicious behavior, and automate compliance checks is driving widespread adoption among exchanges and financial institutions. This trend is expected to continue as regulatory landscapes evolve, making AI-powered analytics a critical component of sustainable and compliant trading operations.

The democratization of AI technology and the rise of user-friendly analytics platforms are also key contributors to market expansion. With the advent of cloud-based solutions and API-driven architectures, even individual traders and small-scale investors can now access sophisticated trading analytics tools that were once the exclusive domain of large financial institutions. This accessibility is fostering greater participation in cryptocurrency markets, as traders leverage AI-driven insights to enhance portfolio performance and mitigate risks. Additionally, the growing ecosystem of third-party developers and data providers is fueling innovation, resulting in a diverse array of analytics offerings tailored to the unique needs of different market participants.

In the realm of cryptocurrency trading, the emergence of Sentiment Trading Signals AI is revolutionizing how traders interpret market dynamics. By leveraging advanced natural language processing and machine learning algorithms, these AI systems can analyze vast amounts of unstructured data from social media, news articles, and forums to gauge the overall market sentiment. This capability allows traders to anticipate market movements based on the collective mood of participants, providing a strategic edge in decision-making. As sentiment-driven volatility is a common feature in cryptocurrency markets, the integration of sentiment analysis into trading strategies is becoming increasingly vital for both individual and institutional investors seeking to optimize their returns.

From a regional perspective, North America continues to dominate the cryptocurrency trading analytics AI market, accounting for the largest share in 2024 due to its mature financial infrastructure and early adoption of advanced trading technologies. However, Asia Pacific is emerging as the fastest-growing region, driven by the rapid expansion of digital asset markets in countries such as China, Japan, and South Korea. Europe also represents a significant market, supported by progressive regulatory frameworks and a growing base of institutional i

Crypto AML Market Outlook

According to our latest research, the global Crypto AML (Anti-Money Laundering) market size reached USD 2.13 billion in 2024, reflecting robust demand for advanced compliance technologies amidst an evolving regulatory landscape. The market is projected to expand at a CAGR of 16.9% from 2025 to 2033, reaching a forecasted value of USD 9.28 billion by 2033. This impressive growth is primarily driven by the increasing adoption of cryptocurrencies, stringent regulatory requirements, and the growing volume of digital asset transactions worldwide.

The primary growth factor for the Crypto AML market is the rapid expansion of the cryptocurrency ecosystem, which has seen exponential growth in user adoption, transaction volumes, and the emergence of new digital assets. As cryptocurrencies become more mainstream, they attract not only legitimate investors but also malicious actors seeking to exploit the relative anonymity of blockchain-based transactions for illicit activities such as money laundering, terrorist financing, and fraud. This has created an urgent need for robust AML solutions that can monitor, analyze, and report suspicious activities in real-time. The proliferation of decentralized finance (DeFi) platforms and the increasing use of privacy coins further complicate the compliance landscape, necessitating sophisticated AML tools that leverage artificial intelligence, machine learning, and blockchain analytics to detect and prevent financial crimes effectively.

Another significant driver of the Crypto AML market is the tightening of global regulatory frameworks. Governments and regulatory bodies such as the Financial Action Task Force (FATF), the European Union, and the U.S. Financial Crimes Enforcement Network (FinCEN) have introduced stringent guidelines and requirements for cryptocurrency service providers, including exchanges, wallet providers, and financial institutions. These regulations mandate the implementation of comprehensive AML programs, including customer due diligence (CDD), know-your-customer (KYC) procedures, transaction monitoring, and suspicious activity reporting. Non-compliance can result in hefty fines, reputational damage, and even loss of operating licenses, compelling organizations to invest heavily in advanced AML technologies to ensure continuous adherence to evolving regulatory standards.

Technological advancements are also playing a pivotal role in shaping the Crypto AML market. The integration of artificial intelligence, big data analytics, and blockchain forensics has significantly enhanced the efficiency and accuracy of AML processes. These technologies enable real-time monitoring of vast transaction volumes, automated risk assessment, and proactive identification of complex money laundering schemes. Furthermore, the rise of API-driven AML solutions allows seamless integration with existing crypto trading platforms, wallets, and financial systems, reducing operational friction and improving user experience. The increasing collaboration between traditional financial institutions and crypto-native companies is also fostering innovation in AML practices, further propelling market growth.

From a regional perspective, North America currently leads the global Crypto AML market, accounting for the largest share due to the early adoption of cryptocurrencies, a mature regulatory environment, and the presence of major market players. Europe follows closely, driven by the implementation of the EU’s 6th Anti-Money Laundering Directive and the growing number of regulated crypto service providers. Asia Pacific is emerging as a high-growth region, fueled by the rapid expansion of digital asset markets in countries like Singapore, Japan, and South Korea, alongside increasing regulatory clarity. Meanwhile, Latin America and the Middle East & Africa are witnessing steady adoption, primarily driven by the need to combat rising financial crime rates and foster financial inclusion through digital assets.

Component Analysis

The Crypto AML market is segmented by component into software and services, each playing a crucial role in the overall effectiveness of anti-money laundering programs within the cryptocurrency industry. Software solutions form the backbone of AML initiatives, offering automated tools for transaction monitoring, identity verification, compliance management, and risk assessment. These platforms leverage advanced technologies such as artificial in