REST API access to fundamental data in JSON format for over 50,000 stocks und ETFs. 100,000 requests/da. Fundamental data, key figures and ISINs for stocks and components and ratings for ETFs from over 50 exchanges (XETRA, Frankfurt Stock Exchange, London, New York) worldwide. DAX 30, Nasdaq 100, EuroStoxx!

Finnhub is the ultimate stock api in the market, providing real-time and historical price for global stocks with Rest API and websocket. We also support a tons of other financial data like stock fundamentals, analyst estimates, fundamental data and more. Download the file to access balance sheet of Amazon.

It is not so often that one can find fundamental data of companies on which it would be possible to accurately assess the value of a company.

So I decided to use yahoo_fin api to collect some fundamentals of 48 companies from the S&P 500 index.

The content of indicators in each table: - total assets. - cash. - stockholder equity. - profit. - revenue. - return on equity, return on assets, profit margin. - trailing P/E, P/S, P/B, PEG, forward P/E.

In addition, the dataset has prices for all stocks for four years.

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.

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.

Company fundamentals data provides the user with a company's current financial health and when combined historically, the financial 'life-story' of the company.

The dataset I'm uploading is and extention of https://www.kaggle.com/datasets/muhammadanas0716/tradyflow-options-trading. where I added a fundamental data analysis of each option contract at the time it was generated. I extracted the data from an Yahoo Finance API and used the Piotroski F-Score as a template to call the Financial data.

I created a ML model classifier to predict if a contract will be 'In the money' or 'Out of the money'

Please share your work and share! Diego Trujillo.

We offer three easy-to-understand equity data packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

Bronze

The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD equity pricing data, standardized financial statement data, and supplementary fundamental datasets.

When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.

• Historical EOD equity prices & technicals (10 years history)
• Security reference data
• Standardized & as-reported financial statements (5 years history)
• 7 supplementary fundamental data sets

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Silver

The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.

When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.

• 15-minute delayed & historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (10 years history)
• 9 supplementary fundamental data sets

Silver Benefits:

• Web API access
• 2,000 API calls/minute limit
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Gold

The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.

You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

• Real-time equity prices
• Historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (full history)
• 9 supplementary fundamental data sets

Gold Benefits:

• No exchange fees
• No user reporting or variable per-user exchange fees
• High liquidity (6%+)
• Web API & WebSocket access
• 2,000 API calls/minute limit
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Access to engineering team
• Concierge customer success team
• Comarketing & promotional initiatives

Platinum

Don’t see a package that fits your needs? Our team can design premium custom packages for institutions.

Global Shares Data Reference data on more than 80K stocks worldwide. Historical data from 2000 onwards. Pay only for the parameters you need. Flexible in customizing our product to the customer's needs. Free test access as long as you need for integration. Reliable sources: issues documents, disclosure website, global depositories data and other open sources. The cost depends on the amount of required parameters and re-distribution right.

Blockchain data query: old_API: Fundamentals

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

API Group Soaring: (APG) Stock Forecast

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Fundamental Systems Doo Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Folks, this data was scraped from CVM's Open Data API, which is equivalent to SEC.

The data refer to the quarterly balance sheets of companies listed on the Brazilian stock exchange. This dataset is updated monthly!

https://media.giphy.com/media/ZCyYT0bdwZECPpxHDk/giphy.gif">

Look how i've used this data: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8082416%2F39ae1be51491feedea317e566c28beef%2FCapturar3.PNG?generation=1677470019840711&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8082416%2F1f38d2554cf326babb9ef0b03aaf5c4b%2FCapturar4.PNG?generation=1677470028625106&alt=media" alt="">

Tableau Link: https://public.tableau.com/app/profile/marcus.vinicius3800/viz/Fashioncompaniesfundamentalsstockanalysis/Capa

CVM Open data: https://dados.cvm.gov.br/dataset/?q=cia

Email: marcus.rodrigues4003@gmail.com Whatsapp: (11)94937-0306

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

How do you determine buy or sell? (LON:API Stock Forecast)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Blockchain data query: Celo Fundamentals

Fundamental Industrial Co Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Introduction

The Healthcare API Market is experiencing robust growth, driven by the increasing adoption of Electronic Health Records (EHRs), a heightened need for interoperability, and the surge in telehealth services, especially evident during the COVID-19 pandemic. These APIs facilitate seamless communication across diverse healthcare applications, enhancing medical service efficiency and effectiveness. The push for improved interoperability between health systems stands as a primary growth driver, highlighting the pivotal role of APIs in modern healthcare infrastructure.

Regulatory initiatives also significantly fuel this sector's expansion. In the U.S., the 21st Century Cures Act mandates API usage to streamline access to health records, underscoring governmental support in leveraging technology to enhance healthcare delivery. This regulatory backdrop not only encourages API integration but also ensures that these technologies adhere to stringent security and privacy standards, essential in an era marked by increasing cyber threats and data breaches.

The proliferation of telehealth and remote monitoring solutions, accelerated by the pandemic, necessitates robust API systems. These technologies are crucial for real-time data exchange, improving telehealth service capabilities and broadening the scope of health management remotely. APIs are integral to supporting these digital platforms, ensuring efficient and continuous patient care outside traditional clinical settings.

Moreover, the integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare APIs is transforming patient treatment outcomes. APIs provide essential data that fuels AI algorithms, facilitating predictive analyses and personalized medicine. This technological synergy is set to redefine healthcare paradigms, making AI a cornerstone of digital health strategies.

Significant developments within the healthcare API sector include Practo Technologies' expansion of its teleconsultation services in November 2024. The platform reported a tenfold increase in usage over six months, driven by pandemic-induced demands. This expansion not only extended its reach from 16,000 to 25,000 pin codes but also increased accessibility in Tier 2 cities. Additionally, Microsoft's introduction of new generative AI products in September 2024 aims to streamline healthcare delivery by integrating advanced AI capabilities, significantly reducing the administrative load in clinical environments.

The healthcare API market is well-positioned for continued growth. As digital transformation deepens within the healthcare sector, APIs will play an increasingly crucial role in making health services more efficient, accessible, and patient-centered. This growth trajectory is supported by technological advancements, regulatory support, and an ongoing shift towards remote healthcare delivery.

Fundamental Fashions Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

The Trajectory Conversion Algorithm Version 2.3 (TCA) is designed to test different strategies for producing, transmitting, and storing Connected Vehicle information. The TCA uses vehicle trajectory data, roadside equipment (RSE) location information, cellular region information and strategy information to emulate the messages connected vehicles would produce. This data set contains common data sets generated by the TCA using the BSM and PDM at 100% market penetration for two simulated traffic networks, an arterial network (Van Ness Avenue in San Francisco, CA) and a freeway network (the interchange of I-270 and I-44 in St. Louis, MO). This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

The global api market size is anticipated to grow significantly, reaching USD 340.91 billion by 2034, up from USD 162.36 billion. This growth represents a CAGR of over 7.7%. Key companies in the industry include RapidAPI, Celigo, gravitee.io, APILayer, Integrately, Abstract API, Zapier, Mulesoft, ServiceNow, beNovelty, Datadog, Axway, Cyclr Systems. .