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
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Gain strategic OTC real time contributions from sell side desks across money market, foreign exchange, commodities and energy, and equity.
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.
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The global free trading platform market size was valued at approximately USD 3.7 billion in 2023 and is projected to reach around USD 8.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.6% during the forecast period. The growth of the market is primarily driven by the increasing popularity of online trading among individual investors and the ease of access provided by these platforms.
One of the significant growth factors in the free trading platform market is the widespread adoption of smartphones and high-speed internet, which has democratized access to trading platforms. The proliferation of smartphones has enabled a broader demographic to engage in trading activities, breaking down geographical and socioeconomic barriers. With enhanced connectivity and user-friendly interfaces, mobile-based trading platforms have become increasingly popular, allowing users to trade on-the-go, thereby boosting market growth.
Another critical factor contributing to the growth of the free trading platform market is the increasing awareness and interest in financial markets among younger generations. Millennials and Generation Z are showing a growing interest in managing their finances and investing in various asset classes. Social media and educational resources have played a pivotal role in educating these demographics about investment opportunities, leading to a surge in demand for free trading platforms that offer easy access and minimal costs.
The emergence of technologies such as artificial intelligence (AI) and machine learning (ML) has also been a significant driver for the market. These technologies enable trading platforms to offer advanced features such as algorithmic trading, personalized investment advice, and predictive analytics. AI and ML enhance the overall user experience by providing insightful data and automating complex trading strategies, making them accessible to novice investors and experienced traders alike.
From a regional perspective, North America has been a dominant player in the free trading platform market due to its mature financial markets and high adoption rates of technology. The Asia Pacific region is also expected to witness substantial growth during the forecast period. This growth can be attributed to the rising disposable incomes, increasing internet penetration, and growing awareness about financial investments in countries like China and India. Europe and Latin America are also anticipated to contribute significantly to market growth, driven by regulatory changes and the increasing popularity of online trading platforms.
The free trading platform market is segmented by platform type into web-based, mobile-based, and desktop-based platforms. Web-based trading platforms remain popular due to their accessibility and ease of use. These platforms do not require any software installation and can be accessed from any device with an internet connection. They offer a range of tools and features that cater to both novice and experienced traders, such as real-time market data, charting tools, and educational resources.
Mobile-based trading platforms have seen exponential growth in recent years, driven by the increasing penetration of smartphones and mobile internet. These platforms offer convenience and flexibility, allowing users to trade anytime and anywhere. With features like push notifications, real-time updates, and user-friendly interfaces, mobile-based platforms have become a preferred choice for many individual investors. Additionally, they often include advanced security features like biometric authentication to ensure the safety of users' investments.
Desktop-based trading platforms are still widely used by professional and institutional investors who require advanced tools and functionalities. These platforms offer robust performance, extensive customization options, and the ability to handle large volumes of data. They are particularly suited for high-frequency trading and other complex strategies that require low latency and high processing power. Despite the rise of mobile and web-based platforms, desktop-based platforms continue to hold a significant share in the market due to their comprehensive feature set.
The integration of new technologies such as AI, ML, and blockchain into these platforms is enhancing their capabilities and user experiences. AI and ML can provide predictive analytics, automate trading strategies, and offer personalized investment advice. Block
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The best choice for those looking for license-free US market data for commercial use is US Equities Basic, which includes data display, redistribution, professional trading, and more.
US Equities Basic is based upon a derived IEX feed. The volume coverage is 3-5% of the total trading volume in North America, which helps entities mitigate license expenses and start with real-time data.
US Equities Basic provides raw quotes, trades, aggregated time series (OHLCV), and snapshots. Both REST API and WebSocket API are available.
End-of-day price information disseminated after 12:00 AM EST does not require licensing in the United States by law. This applies to all exchanges, even those not included in the US Equities Basic. Finazon combines all price information after every trading day, meaning that while markets are open, real-time prices are available from a subset of exchanges, and when markets close, data is synced and contains 100% of US volume. All historical prices are adjusted for corporate actions and splits.
Tip: Individuals with non-professional usage are not required to get exchange licenses for real-time data and, hence, are better off with the US Equities Max dataset.
Convert websites into useful data Fully managed enterprise-grade web scraping service Many of the world's largest companies trust ScrapeHero to transform billions of web pages into actionable data. Our Data as a Service provides high-quality structured data to improve business outcomes and enable intelligent decision making
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We provide data to almost EVERY industry and some of the BIGGEST GLOBAL COMPANIES
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Streaming Analytics Market Size 2024-2028
The streaming analytics market size is forecast to increase by USD 39.7 at a CAGR of 34.63% between 2023 and 2028.
The market is experiencing significant growth due to the increasing need to improve business efficiency in various industries. The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies is a key trend driving market growth. These technologies enable real-time data processing and analysis, leading to faster decision-making and improved operational performance. However, the integration of streaming analytics solutions with legacy systems poses a challenge. IoT platforms play a crucial role In the market, as IoT-driven devices generate vast amounts of data that require real-time analysis. Predictive analytics is another area of focus, as it allows businesses to anticipate future trends and customer behavior, leading to proactive decision-making.Overall, the market is expected to continue growing, driven by the need for real-time data processing and analysis in various sectors.
What will be the Size of the Streaming Analytics Market During the Forecast Period?
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The market is experiencing significant growth due to the increasing demand for real-time insights from big data generated by emerging technologies such as IoT and API-driven applications. This market is driven by the strategic shift towards digitization and cloud solutions among large enterprises and small to medium-sized businesses (SMEs) across various industries, including retail. Legacy systems are being replaced with modern streaming analytics platforms to enhance data connectivity and improve production and demand response. The financial impact of real-time analytics is substantial, with applications in fraud detection, predictive maintenance, and operational efficiency. The integration of artificial intelligence (AI) and machine learning algorithms further enhances the market's potential, enabling businesses to gain valuable insights from their data streams.Overall, the market is poised for continued expansion as more organizations recognize the value of real-time data processing and analysis.
How is this Streaming Analytics Industry segmented and which is the largest segment?
The streaming analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. DeploymentCloudOn premisesTypeSoftwareServicesGeographyNorth AmericaCanadaUSAPACChinaJapanEuropeUKMiddle East and AfricaSouth America
By Deployment Insights
The cloud segment is estimated to witness significant growth during the forecast period.
Cloud-deployed streaming analytics solutions enable businesses to analyze data in real time using remote computing resources, such as the cloud. This deployment model streamlines business intelligence processes by collecting, integrating, and presenting derived insights instantaneously, enhancing decision-making efficiency. The cloud segment's growth is driven by benefits like quick deployment, flexibility, scalability, and real-time data visibility. Service providers offer these capabilities with flexible payment structures, including pay-as-you-go. Advanced solutions integrate AI, API, and event-streaming analytics capabilities, ensuring compliance with regulations, optimizing business processes, and providing valuable data accessibility. Cloud adoption in various sectors, including finance, healthcare, retail, and telecom, is increasing due to the need for real-time predictive modeling and fraud detection.SMEs and startups also benefit from these solutions due to their ease of use and cost-effectiveness. In conclusion, cloud-based streaming analytics solutions offer significant advantages, making them an essential tool for organizations seeking to digitize and modernize their IT infrastructure.
Get a glance at the Streaming Analytics Industry report of share of various segments Request Free Sample
The Cloud segment was valued at USD 4.40 in 2018 and showed a gradual increase during the forecast period.
Regional Analysis
APAC is estimated to contribute 34% to the growth of the global market during the forecast period.
Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
For more insights on the market share of various regions, Request Free Sample
In North America, the region's early adoption of advanced technology and high data generation make it a significant market for streaming analytics. The vast amounts of data produced in this tech-mature region necessitate intelligent analysis to uncover valuable relationships and insights. Advanced software solutions, including AI, virtualization, and cloud computing, are easily adopted to enh
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Access LSEG's London Stock Exchange (LSE) Market Data, and find benchmarks, indices, and real-time and historic market information.
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Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.
PowerMap can infer the subject of trading volume in real-time. This information allows users to predict the order flow by investor type of institutional, foreign, and retail traders. By implementing Direct Market Access (DMA) and High-Frequency Trading (HFT) technology, PowerMap processes and delivers large-scale transactions in real time for the Korean market. Processing high volumes of stock transactions instantly requires robust data processing capabilities. PowerMap receives direct trade data from KRX and analyzes buy and sell signals for approximately 1,000 stocks in real time, covering KOSPI stocks with a market cap over 200 billion KRW ($133.38 million) and KOSDAQ stocks over 150 billion KRW ($103.81 million).
Key Features: 💠 Real-time investor type classification (institutional, and foreign institutional) 💠 Low-latency data ingestion 💠 Coverage of over 1,200 liquid KOSPI and KOSDAQ stocks 💠 Instantaneous detection of large-block trades and directional flow 💠 Scalable architecture for high-volume transaction analysis
Primary Use Cases: 🔹 Institutional and proprietary traders monitoring market sentiment shifts 🔹 Quant desks identifying real-time trade triggers and flow-based signals 🔹 Algo developers incorporating investor-type flow into trading strategies 🔹 Broker-dealers and research teams analyzing intraday market dynamics 🔹 Portfolio managers assessing liquidity and participation trends
Contact us for a real time order flow data in different markets. Stay ahead with TradePulse's order flow insights.
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Alternative Data Market Size 2025-2029
The alternative data market size is valued to increase USD 60.32 billion, at a CAGR of 52.5% from 2024 to 2029. Increased availability and diversity of data sources will drive the alternative data market.
Major Market Trends & Insights
North America dominated the market and accounted for a 56% growth during the forecast period.
By Type - Credit and debit card transactions segment was valued at USD 228.40 billion in 2023
By End-user - BFSI segment accounted for the largest market revenue share in 2023
Market Size & Forecast
Market Opportunities: USD 6.00 million
Market Future Opportunities: USD 60318.00 million
CAGR from 2024 to 2029 : 52.5%
Market Summary
The market represents a dynamic and rapidly expanding landscape, driven by the increasing availability and diversity of data sources. With the rise of alternative data-driven investment strategies, businesses and investors are increasingly relying on non-traditional data to gain a competitive edge. Core technologies, such as machine learning and natural language processing, are transforming the way alternative data is collected, analyzed, and utilized. Despite its potential, the market faces challenges related to data quality and standardization. According to a recent study, alternative data accounts for only 10% of the total data used in financial services, yet 45% of firms surveyed reported issues with data quality.
Service types, including data providers, data aggregators, and data analytics firms, are addressing these challenges by offering solutions to ensure data accuracy and reliability. Regional mentions, such as North America and Europe, are leading the adoption of alternative data, with Europe projected to grow at a significant rate due to increasing regulatory support for alternative data usage. The market's continuous evolution is influenced by various factors, including technological advancements, changing regulations, and emerging trends in data usage.
What will be the Size of the Alternative Data Market during the forecast period?
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How is the Alternative Data Market Segmented ?
The alternative data industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Type
Credit and debit card transactions
Social media
Mobile application usage
Web scrapped data
Others
End-user
BFSI
IT and telecommunication
Retail
Others
Geography
North America
US
Canada
Mexico
Europe
France
Germany
Italy
UK
APAC
China
India
Japan
Rest of World (ROW)
By Type Insights
The credit and debit card transactions segment is estimated to witness significant growth during the forecast period.
Alternative data derived from credit and debit card transactions plays a significant role in offering valuable insights for market analysts, financial institutions, and businesses. This data category is segmented into credit card and debit card transactions. Credit card transactions serve as a rich source of information on consumers' discretionary spending, revealing their luxury spending tendencies and credit management skills. Debit card transactions, on the other hand, shed light on essential spending habits, budgeting strategies, and daily expenses, providing insights into consumers' practical needs and lifestyle choices. Market analysts and financial institutions utilize this data to enhance their strategies and customer experiences.
Natural language processing (NLP) and sentiment analysis tools help extract valuable insights from this data. Anomaly detection systems enable the identification of unusual spending patterns, while data validation techniques ensure data accuracy. Risk management frameworks and hypothesis testing methods are employed to assess potential risks and opportunities. Data visualization dashboards and machine learning models facilitate data exploration and trend analysis. Data quality metrics and signal processing methods ensure data reliability and accuracy. Data governance policies and real-time data streams enable timely access to data. Time series forecasting, clustering techniques, and high-frequency data analysis provide insights into trends and patterns.
Model training datasets and model evaluation metrics are essential for model development and performance assessment. Data security protocols are crucial to protect sensitive financial information. Economic indicators and compliance regulations play a role in the context of this market. Unstructured data analysis, data cleansing pipelines, and statistical significance are essential for deriving meaningful insights from this data. New
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With LSEG's Hong Kong Stock Exchange Issuer Information feed Service (IIS), gain real-time trading news and announcements from HKEX listed companies.
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Find unrivaled company, commodity and economic stories formatted for automated consumption, with LSEG Real-Time News, powered by Reuters.
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Real-Time Location Systems (RTLS) Market Size 2025-2029
The real-time location systems (rtls) market size is forecast to increase by USD 45.5 billion, at a CAGR of 42.4% between 2024 and 2029. Low cost of RFID tags will drive the real-time location systems (rtls) market.
Major Market Trends & Insights
North America dominated the market and accounted for a 38% growth during the forecast period.
By Application - Healthcare segment was valued at USD 930.60 billion in 2023
By Solution - Systems segment accounted for the largest market revenue share in 2023
Market Size & Forecast
Market Opportunities: USD 1.00 billion
Market Future Opportunities: USD USD 45.5 billion
CAGR : 42.4%
North America: Largest market in 2023
Market Summary
The market is a dynamic and ever-evolving landscape, driven by advancements in core technologies and applications. With the increasing adoption of Ultra-Wideband (UWB) RTLS technology and the decreasing cost of RFID tags, the market is poised for significant growth in the coming years. However, high implementation costs remain a challenge for some organizations. According to recent studies, the global RTLS market is expected to witness a substantial expansion, with RFID technology holding a market share of approximately 60% in 2021.
As the market continues to unfold, it is essential to stay informed about the latest trends, regulations, and key companies shaping this industry. Related markets such as the Internet of Things (IoT) and Automatic Identification And Data Capture (AIDC) are also worth exploring for further insights.
What will be the Size of the Real-Time Location Systems (RTLS) Market during the forecast period?
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How is the Real-Time Location Systems (RTLS) Market Segmented and what are the key trends of market segmentation?
The real-time location systems (rtls) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Application
Healthcare
Transportation and logistics
Retail
Government
Others
Solution
Systems
Tags
Technology
Active RFID
Passive RFID
Others
Management
Inventory/asset tracking and management
Access control and security
Environmental monitoring
Others
Geography
North America
US
Canada
Europe
France
Germany
Italy
The Netherlands
UK
APAC
China
India
Japan
Rest of World (ROW)
By Application Insights
The healthcare segment is estimated to witness significant growth during the forecast period.
The market is witnessing substantial expansion, particularly in the healthcare sector. This growth is attributed to the increasing demand for real-time patient monitoring and asset tracking in hospitals. According to recent reports, the healthcare segment is projected to account for over 40% of the market share. Positioning accuracy metrics, such as angle-of-arrival estimation and time-of-flight measurement, are crucial in ensuring accurate real-time tracking. Edge Computing infrastructure plays a vital role in reducing latency and enhancing the overall performance of RTLS systems. Asset tracking systems employ various technologies like ultra-wideband, Bluetooth Low Energy (BLE), and Radio Frequency Identification (RFID) for locating and managing assets in real-time.
Interoperability standards, such as Data synchronization protocols and Sensor Fusion algorithms, enable seamless integration of different RTLS technologies. Dead reckoning algorithms and Kalman filtering methods are employed for improving the accuracy of location estimation in the absence of direct signals. Power consumption optimization techniques, like particle filtering and Zigbee wireless protocol, are essential for extending the battery life of RTLS devices. Real-time data streaming and location data analytics are integral to the RTLS market, providing valuable insights for businesses across various industries. The market is expected to grow further due to the increasing adoption of cloud-based location platforms and the integration of GPS augmentation techniques, Wi-Fi positioning, and indoor positioning systems.
Network topology optimization and System Integration Services are essential for ensuring scalability and performance. data security protocols are crucial in safeguarding the sensitive information transmitted through RTLS systems. Latency performance analysis is an ongoing concern, with ongoing efforts to minimize latency and ensure real-time data processing. The RTLS market is continuously evolving, with new technologies and applications emerging regularly.
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The Healthcare segment was valued at USD 930.60 billion
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View Refinitiv's New York Stock Exchange (NYSE) Market Data and benefit from full-depth market-by-price data, available as real-time and historical records.
OpenWeb Ninja's Google Images Data (Google SERP Data) API provides real-time image search capabilities for images sourced from all public sources on the web.
The API enables you to search and access more than 100 billion images from across the web including advanced filtering capabilities as supported by Google Advanced Image Search. The API provides Google Images Data (Google SERP Data) including details such as image URL, title, size information, thumbnail, source information, and more data points. The API supports advanced filtering and options such as file type, image color, usage rights, creation time, and more. In addition, any Advanced Google Search operators can be used with the API.
OpenWeb Ninja's Google Images Data & Google SERP Data API common use cases:
Creative Media Production: Enhance digital content with a vast array of real-time images, ensuring engaging and brand-aligned visuals for blogs, social media, and advertising.
AI Model Enhancement: Train and refine AI models with diverse, annotated images, improving object recognition and image classification accuracy.
Trend Analysis: Identify emerging market trends and consumer preferences through real-time visual data, enabling proactive business decisions.
Innovative Product Design: Inspire product innovation by exploring current design trends and competitor products, ensuring market-relevant offerings.
Advanced Search Optimization: Improve search engines and applications with enriched image datasets, providing users with accurate, relevant, and visually appealing search results.
OpenWeb Ninja's Annotated Imagery Data & Google SERP Data Stats & Capabilities:
100B+ Images: Access an extensive database of over 100 billion images.
Images Data from all Public Sources (Google SERP Data): Benefit from a comprehensive aggregation of image data from various public websites, ensuring a wide range of sources and perspectives.
Extensive Search and Filtering Capabilities: Utilize advanced search operators and filters to refine image searches by file type, color, usage rights, creation time, and more, making it easy to find exactly what you need.
Rich Data Points: Each image comes with more than 10 data points, including URL, title (annotation), size information, thumbnail, and source information, providing a detailed context for each image.
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Global Real-Time Payments Market size worth at USD 25.86 Billion in 2023 and projected to USD 435.45 Billion by 2032, with a CAGR of around 32.6% between 2024-2032.
Raw meteorological data collected with a Campbell Scientific CR-1000 weather station with wind speed, wind direction, temperature, humidity, barometric pressure, rain gauge and solar irradiation sensors. Data are raw and not flagged or curated in any manner other than curtailed for deployment periods where all sensors are functional. These data may be used and redistributed for free but they are not intended for legal use, since they may contain inaccuracies. For use for publications please reference the Central and Northern California Ocean Observing system (CeNCOOS) and NOAA. Neither the data provider, CeNCOOS, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, or this information.
As per our latest research, the global Data Feed Management for Capitals market size reached USD 2.81 billion in 2024, demonstrating robust momentum fueled by an increasing demand for real-time financial data integration across capital markets. With a projected CAGR of 11.2% during the forecast period, the market is anticipated to reach USD 7.12 billion by 2033. This growth is primarily driven by the rising complexity of financial instruments, regulatory mandates for transparency, and the need to support advanced trading strategies through reliable, high-speed data feeds.
The expansion of the Data Feed Management for Capitals market is underpinned by the proliferation of algorithmic and high-frequency trading, which necessitate seamless access to accurate, low-latency data. Financial institutions, including banks, hedge funds, and asset management firms, are increasingly investing in sophisticated data feed management solutions to gain a competitive edge and minimize operational risks. As markets become more interconnected and data volumes surge, the demand for scalable, secure, and robust data management platforms continues to rise. Moreover, the integration of artificial intelligence and machine learning in data analytics is further enhancing the value proposition of data feed management solutions, enabling predictive insights and automated decision-making in capital markets.
Another significant growth factor is the evolving regulatory landscape, with authorities across North America, Europe, and Asia Pacific imposing stringent requirements on data accuracy, transparency, and reporting. Compliance with regulations such as MiFID II, Dodd-Frank, and Basel III necessitates that market participants maintain comprehensive and auditable data trails. Data feed management platforms facilitate compliance by aggregating, normalizing, and distributing data in formats required by regulators. This not only helps firms avoid hefty penalties but also enhances investor confidence and market integrity. Additionally, the push towards digital transformation and cloud adoption is enabling organizations to deploy flexible, cost-effective data feed management solutions that can scale with business needs.
The shift towards cloud-based deployments is also contributing to market growth, offering enhanced scalability, reduced infrastructure costs, and improved disaster recovery capabilities. Cloud-based data feed management solutions allow financial institutions to efficiently manage vast and diverse data sources, supporting both front-office trading activities and back-office compliance functions. Furthermore, the increasing adoption of multi-asset trading and cross-border investments is driving the need for unified data platforms that can deliver real-time insights across geographies and asset classes. As the capital markets ecosystem becomes more data-driven, the role of advanced data feed management solutions is set to become even more critical.
Regionally, North America continues to dominate the Data Feed Management for Capitals market, accounting for the largest share due to the presence of major financial hubs, advanced technological infrastructure, and early adoption of innovative solutions. Europe follows closely, driven by regulatory compliance requirements and a strong focus on market transparency. The Asia Pacific region is emerging as the fastest-growing market, propelled by rapid financial sector development, increasing digitization, and the expansion of capital markets in countries such as China, India, and Singapore. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as financial institutions in these regions modernize their data management capabilities.
The Data Feed Management for Capitals market is segmented by component into software and services, each playing a pivotal role in enabling seamless data integration and management across capital markets. The softwa
Forex Symbols
Finage offers you more than 1300+ forex data as real-time.
With Finage, you can react to the forex data in Real-Time via WebSocket or unlimited API calls. Also, we offer you a 15-year historical data API.
Commodities Bonds Metals Forex You can view the full FX market coverage with the link given below. https://finage.s3.eu-west-2.amazonaws.com/Finage_FX_Symbol_List.pdf
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