Real-Time Cryptocurrency Prices Dataset (Top 200 Coins)

This dataset contains real-time cryptocurrency market data fetched from the Crypto News Mini API (via RapidAPI). The dataset includes detailed price and market information for the top cryptocurrencies, ranked by market capitalization. Each row represents one cryptocurrency with the following attributes:

Features

rank – Global market cap ranking symbol – Trading symbol (e.g., BTC, ETH, SOL) name – Full coin name slug – API-friendly unique identifier id – Internal API ID price – Current price in USD image – Logo image URL market_cap – Total market capitalization in USD change_24h_percent – 24-hour price movement (%)

How This Dataset Was Collected :-

Source: Crypto-News51 Mini Crypto Prices API API Provider: RapidAPI Base Currency: USD Page Size: 20 coins per request Pages scraped: multiple (up to 200 coins total)

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

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...

We monitor a number of mentions and their sentiment on Reddit, Twitter, and Telegram for the top 100 major crypto coins by liquidity.

Designed for quants and algorithmic traders, our real-time data stream provides you with an in-depth look at the social movements around cryptocurrencies and tokens.

Stay informed on the quantity and content of discussions, social buzz, and sentiment around any crypto/web3 project with our razor-sharp data. Social Pulse won't let you miss a beat in the fast-paced world of crypto trading.

https://algotrading101.com/learn/wp-content/uploads/2020/06/yahoo-finance-api-guide.png">

This dataset contains real-time prices of various cryptocurrencies that are listed on Yahoo Finance. The data has been collected from Yahoo Finance API and consists of 9,600 rows of data.

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

REST API access to thousands of currency pairs, cryptocurrencies and commodities. 100,000 requests/day - €50/month. Real-time quotes and max. available history for all cryptos, currencies and commodities!

Dataset

This dataset was created by Aqeel Abbas Khan

Contents

🚀 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**

MT Newswires’ team of highly experienced financial reporters produces timely and actionable commentary throughout the day to keep readers abreast of all the latest happenings in the digital marketplace: price spikes and price plunges in popular virtual coins, DeFi and NFT price action, regulatory updates, corporate adoption announcements, overarching industry trends, and more. Live Briefs Crypto News & Insights additionally incorporates educational “explainer” guides and longer form technical analysis to ensure that the content and crypto discovery is accessible to everyone – whether individual investors and traders entirely new to the concept or professional wealth managers looking for in-depth industry coverage to guide informed decision making on behalf of their clients. 

Every story includes relevant symbols and is category-coded to allow for seamless platform integration.

·       Top News – The most significant drivers of digital assets every day;  ·       Breaking News – real-time coverage of the events most likely to affect prices and adoption of cryptocurrencies and actively traded NFTs at any given moment; ·       Crypto Market Summaries – daily summaries covering major price action and regulatory developments globally; ·       Influencers & Social Buzz – objective coverage of the most talked about cryptocurrencies on social media and related sentiment indications; ·       Top Movers - intra-day updates on major price moves among the most popular cryptocurrencies; ·       Policy & Regulation - timely news on the rapidly evolving Digital Central Bank Currency policies with country specific regulatory developments; ·       Crypto Explainer - educational pieces to help investors understand the complex world of digital assets; ·       Get Digital - The Weekend Crypto Report, wrapping up the biggest digital currency news from the prior week and looking ahead to what may drive pricing in the week to come

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

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

Dataset Overview Each transaction entry reflects the exact canonical form of the transaction as included in a block, including sender/recipient addresses, gas usage, execution status, transaction type, and (when applicable) created contract addresses.

All records include a deterministic _tracing_id that links each row to its genesis source event, enabling full reconstruction of execution flow and downstream derivations.

Chains and Coverage ETH, BSC, Base, Arbitrum, Unichain, Avalanche, Polygon, Celo, Linea, Optimism (others on request). Full history from chain genesis; reorg-aware real-time ingestion and updates.

Schema List of columns exactly as delivered: • tx_hash BYTEA - 32-byte Keccak-256 transaction hash • from_address BYTEA - 20-byte sender address • to_address BYTEA - 20-byte recipient address (NULL for contract creation) • block_number BIGINT - Block number containing the transaction • tx_index INTEGER - Zero-based index of the transaction within the block • created_contract_address BYTEA - 20-byte contract address created by this transaction (if applicable) • gas_used BIGINT - Gas consumed during transaction execution • effective_gas_price_wei NUMERIC(38,0) - Final gas price paid in wei • status_success BOOLEAN - TRUE if successful, FALSE if reverted, NULL for pre-Byzantium blocks • root BYTEA - Post-transaction state root for pre-Byzantium blocks (NULL otherwise) • tx_type SMALLINT - Transaction type (e.g., 1 = legacy, 2 = EIP-1559) • _tracing_id BYTEA - Deterministic lineage identifier for this transaction • _created_at TIMESTAMPTZ - Record creation timestamp • _updated_at TIMESTAMPTZ - Record last update timestamp

Notes • All binary values can be converted to hex via encode(column, 'hex') for readability. • Unique constraint ensures canonical (block_number, tx_index) ordering. • tx_index and block inclusion can be directly verified with canonical RLP.

Lineage Each tx record includes a deterministic _tracing_id, forming the root lineage reference for all derived BlockDB datasets (swaps, liquidity, and token prices). This ensures verifiable traceability, reproducibility, and proof-of-derivation for every downstream record.

Common Use Cases • Ground-truth layer for swaps, liquidity, and token analytics • Backtesting models using canonical transaction flow • Gas market analysis (EIP-1559, congestion modeling, MEV impact) • Contract deployment tracking and behavior analysis

Quality • Verifiable lineage: deterministic cryptographic hashes per row • Reorg-aware ingestion: continuity and consistency across forks • Complete historical coverage: from chain genesis to present

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

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

Our Story

Utradea was founded on the idea that everyone should have access to quality investment ideas and insights. Finding investment ideas shouldn’t be a struggle and Utradea addressed this need by building a platform to cut through the noise and provide everyone with actionable investment ideas and informed discussions.

Source of our Datasets

Utradea’s Social Sentiment data allows investors to identify, follow, and take advantage of trending stocks and cryptocurrencies across Twitter, StockTwits, and Reddit. The ‘Sentiment’ API contains data points such as posts, comments, likes, upvotes, and impressions for stocks and cryptocurrencies discussed on these popular social platforms. Data is sourced and presented in 15min, 30min, 1hr, 4hr, 12hr, and 24hr time intervals over a 24hr or 72hr period. The change in posts, comments, and impressions over the selected time period is allowed to provide, allow for quick identification of trending stocks or cryptocurrencies. A real-time feed and linking of Tweets, Reddit Posts, and StockTwits posts allows for further analysis and validation of social trends.

The ability to track real-time sentiment for stocks and cryptocurrency is a powerful data point in today’s investment landscape. The impact that social sentiment form retail investors in the markets is significant, and the social sentiment allows you to track this in real-time

Documentation on Our Page:

https://utradea.com/api-docs

Check us out on Utradea Rapid API

https://rapidapi.com/UtradeaAPI/api/social-sentiment-list

Financial Data Exchange API Integration Market Outlook

According to our latest research, the global Financial Data Exchange API Integration market size reached USD 3.84 billion in 2024, underscoring the sector’s robust expansion. The market is projected to grow at a CAGR of 17.2% from 2025 to 2033, with the market size expected to reach USD 15.36 billion by 2033. This surge is attributed to the rapid digital transformation in the financial sector, increasing adoption of open banking, and the growing need for seamless, secure, and real-time data sharing among financial institutions and third-party providers.

One of the key drivers fueling the growth of the Financial Data Exchange API Integration market is the widespread adoption of open banking initiatives worldwide. Regulatory frameworks such as PSD2 in Europe and similar mandates in other regions are compelling banks and financial institutions to open their data via secure APIs, fostering innovation and competition. This regulatory push has accelerated the need for robust API integration platforms that can securely manage complex data exchanges between banks, fintechs, and other financial entities. Furthermore, consumer demand for personalized, real-time financial services is pushing organizations to integrate APIs that enable instant access to account information, payment initiation, and financial analytics, thus driving market expansion.

Another significant growth factor is the proliferation of fintech startups and digital-first financial service providers. These companies rely heavily on API integrations to connect with traditional financial institutions, aggregate customer data, and deliver innovative solutions such as mobile banking, robo-advisory, and payment gateways. The competitive landscape is encouraging established banks and insurance providers to modernize their IT infrastructure and adopt API-centric architectures. As a result, the demand for scalable, secure, and compliant API integration solutions is rising, further propelling the market forward. Additionally, the COVID-19 pandemic has accelerated digital adoption, making seamless data exchange a necessity for remote operations and digital customer engagement.

The increasing focus on customer experience and operational efficiency is also acting as a catalyst for market growth. Financial institutions are leveraging API integrations to automate workflows, reduce manual processing, and provide customers with unified, omnichannel experiences. The integration of APIs with advanced technologies like artificial intelligence, blockchain, and machine learning is enabling real-time fraud detection, credit scoring, and personalized financial recommendations. These technological advancements are not only enhancing service delivery but also creating new revenue streams for market participants, thereby contributing to the overall growth of the Financial Data Exchange API Integration market.

From a regional perspective, North America continues to dominate the market, accounting for the largest share in 2024 due to the early adoption of digital banking, a mature fintech ecosystem, and favorable regulatory environments. Europe follows closely, driven by strong regulatory mandates and a collaborative approach between traditional banks and fintechs. The Asia Pacific region is witnessing the fastest growth, fueled by a rapidly expanding digital economy, increasing smartphone penetration, and supportive government policies promoting financial inclusion. Latin America and the Middle East & Africa are also experiencing steady growth, albeit at a slower pace, as financial institutions in these regions accelerate their digital transformation journeys.

Component Analysis

The Component segment of the Financial Data Exchange API Integration market is primarily divided into Software and Services. The Software component encompasses API management platforms, integration middleware, and security solutions that

Dataset Overview Each row represents a unique log emitted during transaction execution: • Canonical positioning: (block_number, tx_index, log_index) • Emitting contract address • Primary event topic (topic_zero) • Additional topics (data_topics) • Raw event data payload

All fields are stored exactly as produced by the node, with direct RLP verifiability for topics, data, and contract address.

Every log includes a deterministic _tracing_id that links the record to its genesis event and upstream transaction, forming the foundation for decoded events, swaps, liquidity, NFT events, and custom protocol decoders in downstream BlockDB products.

Chains and Coverage ETH, BSC, Base, Arbitrum, Unichain, Avalanche, Polygon, Celo, Linea, Optimism (others on request). Full history from chain genesis; reorg-aware real-time ingestion and updates.

Schema List of columns exactly as delivered: • block_number BIGINT – Block number that contains the emitting transaction • tx_index INTEGER – Zero-based index of the transaction within the block • log_index INTEGER – Zero-based position of the log within the transaction • contract_address BYTEA – 20-byte address of the contract that emitted the log • topic_zero BYTEA – 32-byte primary topic hash identifying the event type (NULL for anonymous events) • data_topics BYTEA[] – Array of additional topics (topics[1..n]), as raw bytes • data BYTEA – Raw event data payload as emitted on-chain • _tracing_id BYTEA – Deterministic lineage identifier of this log record • _created_at TIMESTAMPTZ – Record creation timestamp • _updated_at TIMESTAMPTZ – Record last update timestamp

Notes • Primary key: (block_number, tx_index, log_index) guarantees canonical ordering and uniqueness. • Foreign key: (block_number, tx_index) links each log directly to its canonical transaction record. • Indexes on contract_address, topic_zero, and (contract_address, topic_zero) support fast protocol- or event-specific scans. • Binary values can be rendered as hex via encode(column, 'hex') in SQL for display or downstream joins.

Lineage & Integrity Direct RLP-verifiable fields: contract_address, topic_zero, data_topics, data, and log_index are all directly or indirectly validated against node RLP.

_tracing_id provides a deterministic, cryptographic handle for each log row, enabling: • Provenance tracking from raw logs to decoded events and higher-level features • Reproducible analytics and signal extraction • Cross-system consistency checks (RPC vs. indexers vs. internal warehouses)

Common Use Cases • Building decoded event layers (swaps, LP actions, mints, burns, governance events, NFT activity) • Reconstructing DEX activity and liquidity flows directly from raw logs • Protocol-specific analytics (AMMs, lending, perpetuals, bridges, staking) from first principles • Detecting MEV patterns, liquidations, and arbitrage events at log-level resolution

Quality • Verifiable lineage: deterministic cryptographic hashes per row • Reorg-aware ingestion: continuity and consistency across forks • Complete historical coverage: from chain genesis to present

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