By Intrinio
When you're a Python developer working in finance, you're not just writing code—you’re building tools that drive real-world decisions. Whether you’re creating backtests for algorithmic strategies, feeding dashboards, or developing investment platforms, the data you choose is the backbone of everything. And that data needs to be both clean and licensed.
AI is transforming fintech—fast. From robo-advisors and smart trading algorithms to predictive credit scoring and natural language-driven investing, machine learning is no longer a fringe capability. It’s table stakes.
But every AI application is only as good as the data it feeds on. And in financial services, that data is… complicated.
In the world of modern investing, you can’t afford to fly blind. Whether you're managing a $5 million book or a $5 billion fund, portfolio monitoring has to be fast, accurate, and, above all, actionable. It’s not enough to just "track" performance—you need to understand it in real time, analyze it from multiple angles, and respond before the market moves on.
Investors don’t just need numbers. They need context. A tweet, press release, or news headline can shift sentiment faster than earnings reports or balance sheets. That’s why top investment platforms are adding real-time, relevant stock news alongside their core data feeds—and why Intrinio’s Stock News API is built to deliver exactly that.
When a single trader scoops up a massive block of out-of-the-money calls with an expiration two weeks out, it might look like noise—until it doesn't. Behind many of the market's sharpest moves are footprints left in the options market, and institutional investors know how to follow them.
When markets move, they usually don’t move without a reason. A press release drops. A CEO goes off-script on an earnings call. An unexpected regulatory shift gets picked up by the wires. And in that moment, anyone without real-time access to stock news is already behind.
At Intrinio, we partner with companies that are rethinking what’s possible in fintech—and few are doing that more boldly than Traderlink. This innovative trading platform is leading a transparency revolution by giving retail traders access to market data tools that were once locked away behind institutional paywalls. Traderlink isn’t just building a product. They’re building an edge.
At Intrinio, we pride ourselves on delivering reliable, flexible financial data solutions to some of the most innovative and fastest-growing companies in fintech. One of those standout partners is MarketBeat, an Inc. 5000 financial media powerhouse that’s reshaping how individual investors access and use market data.
Financial data is the backbone of your fintech application, trading platform, research product, or investment strategy. But not all data providers are created equal. Choosing the wrong one can lead to outages, poor performance, regulatory risk, and wasted development time. In today’s market — where agility, speed, and precision are everything — your choice of data partner can make or break your product.
Selecting a financial data API isn’t just a technical decision — it’s a strategic one. The right API can power your platform, streamline development, and scale with your business. The wrong API can introduce latency, limit product features, inflate costs, and derail timelines.
It’s 2025, and the investment landscape has been fundamentally reshaped by AI, automation, and massive data availability. Clients expect faster insights, more personalized service, and digital-first access to their portfolios. The days of legacy infrastructure, siloed systems, and manual processes are over. Investment firms that want to stay competitive must modernize their tech stack — not just to stay afloat, but to outperform.
Environmental, Social, and Governance (ESG) factors are no longer niche considerations for portfolio managers — they are strategic essentials.
In a world where milliseconds matter and financial markets never sleep, having reliable financial data isn't just a preference — it’s a necessity. Whether you're building a trading platform, an investing app, or a quant model, your systems are only as good as your data feed.
While the rise of ETFs, direct indexing, and algorithmic trading has transformed portfolio construction in recent years, mutual funds continue to play a major role in institutional and retail investment strategies.
In the world of quantitative finance, algorithmic trading, and performance optimization, data precision is everything.
While daily and even minute-level data may suffice for some strategies, serious quants and systematic traders understand that historical tick data is essential for accurate, high-resolution backtesting.
If you're exploring financial data providers for your fintech, trading platform, or investment research tool, it's important to understand who you're partnering with — and what you can expect.
If you're building in fintech, investing, trading, or financial services, the quality and variety of your financial data can make or break your success. That’s why Intrinio offers a wide range of financial data APIs — designed to be affordable, scalable, and easy to integrate for businesses of all sizes.
When it comes to powering financial innovation, data quality, affordability, and ease of access are critical. That’s where Intrinio stands apart.
Intrinio is a modern financial data provider, purpose-built for fintech companies and financial institutions that demand high-quality data, powerful APIs, and fair pricing — without the compromises and frustrations that come with legacy vendors.
When it comes to building a successful investment strategy, having the right financial data isn’t just important—it’s non-negotiable. Whether you’re a hedge fund, asset manager, or quant-driven shop, the quality of your data can make or break your decisions. In today’s hyper-competitive markets, even a fractional edge matters. That’s why accuracy, speed, and accessibility in your data pipeline are essential.
For professional and retail investors alike, having real-time access to reliable market data is crucial for making informed investment decisions. However, working with large datasets in traditional spreadsheet software can be limiting and inefficient. Quadratic, a next-generation spreadsheet platform that seamlessly integrates Python, provides a powerful solution.
Financial markets are evolving at an unprecedented pace, where every second brings a fresh wave of information that can redefine your investment strategy. For fintech platform founders, executives, and data leaders at financial institutions, harnessing live data streams is not just an option—it’s a strategic imperative.
In an era where financial markets move at lightning speed and data-driven decision-making is king, universities must equip students with hands-on experience using real-world financial data and advanced analytics tools. Traditional classroom learning falls short if students and researchers don’t have access to the same sophisticated datasets and technologies used by industry professionals.
In a world where developers, startups, and even established investment firms are building fast and lean, free financial data APIs can seem like a no-brainer. After all, who doesn’t love free? The idea of plugging into a financial dataset at no cost is incredibly appealing—especially when budgets are tight and timelines are even tighter.
Data powers every part of the financial world—from trading algorithms to client dashboards, investment models, compliance systems, and more. But not all data is created equal.
In the financial services world, data is the foundation. It's behind every portfolio decision, every trade execution, every regulatory filing, and every client report. But as the industry continues to evolve—more digitized, more automated, more data-hungry—one truth becomes crystal clear: data quality is everything.
Data modernization is no longer a luxury—it's a necessity. For fintech platform founders, executives, and data leaders at financial institutions, the rapid evolution of technology demands that your data infrastructure is as agile and forward-thinking as your business strategy. Embracing data modernization means transforming legacy systems, integrating cutting-edge technologies, and reimagining how you harness data to drive innovation, improve efficiency, and maintain a competitive edge.
In the dynamic world of finance, staying ahead means making informed decisions at lightning speed. Real-time data insights have become a cornerstone for fintech platform founders, executives, and data leaders at financial institutions who are looking to fine-tune their investment strategies and maximize portfolio performance.
In today's fast-evolving financial landscape, staying competitive means not only adapting to innovations but also optimizing operations for cost reduction and efficiency. Financial institutions, fintech platform founders, and executives are constantly looking for ways to streamline their operations to stay ahead. With the right tools and strategies, you can improve decision-making, reduce inefficiencies, and ultimately cut costs. Intrinio is here to help you simplify this process and provide the real-time data solutions you need to transform your financial operations.
Startup investing has evolved from a niche opportunity into a mainstream asset class, attracting a diverse range of investors. From seasoned venture capitalists to everyday accredited investors, a growing number of players are looking for the next big thing in the startup ecosystem. If you're a founder seeking funding, understanding the different types of investors and how to attract them is critical to scaling your business.
When it comes to stock analysis, earnings per share (EPS) estimates are like the spoilers of the investing world—except instead of ruining the surprise, they help investors make smarter decisions before earnings reports drop. These projections, made by analysts, attempt to predict how much profit a company will generate per outstanding share of stock.
The stock market is often portrayed as a battleground of brilliant investors, sophisticated algorithms, and the occasional meme-fueled frenzy. But beneath the surface, there’s a darker side: stock market manipulation.
The stock market is a high-speed rollercoaster of trades, price swings, and breaking news. But at the end of each trading day, all the chaos momentarily pauses, and we’re left with one key number: the closing price.
The stock market isn’t just a chaotic swirl of numbers, CNBC hot takes, and meme stocks. Beneath the daily noise, it follows a predictable rhythm—a cycle that has played out again and again throughout history. Understanding this stock market cycle is like knowing the four seasons of the year. You might not be able to predict the exact day winter will hit, but you know it’s coming. The same goes for bull and bear markets—they may seem unpredictable in the short term, but in the long run, the market always cycles through four distinct stages.
Stock market trends are the lifeblood of financial markets, providing critical insights into the direction of asset prices and investor sentiment.
Investing in the stock market requires a strong understanding of a company's financial performance. Financial ratios are essential tools that provide insights into a company’s profitability, efficiency, and overall financial health.
The stock market is a dynamic, ever-changing landscape that reflects the pulse of the global economy. For investors, traders, and market enthusiasts, staying informed about market movements is essential for making informed decisions and identifying opportunities.
Understanding stock market chart patterns is a cornerstone of technical analysis. These patterns, derived from the historical price movements of stocks, provide traders and investors with insights into potential market trends and reversals.
Stock market indices are an essential tool for investors, providing a benchmark for market performance and serving as a basis for financial products like exchange-traded funds (ETFs).
For investors, analysts, and financial professionals, understanding the constituents of an index is essential for making informed decisions. Whether you’re tracking the S&P 500, Nasdaq-100, or any specialized index, digging deeper into the individual companies that make up the index provides insights into sector performance, market trends, and opportunities.
The S&P 500 Information Technology Index is a vital benchmark for understanding the performance of the tech sector in the U.S. economy. Comprised of the most influential technology companies in the broader S&P 500, it highlights the leaders shaping the future of innovation, productivity, and market growth.
For investors and financial professionals, indices are powerful tools for benchmarking performance, understanding market trends, and making investment decisions. Whether it's the S&P 500, Nasdaq-100, or Dow Jones Industrial Average, indices provide a snapshot of a particular segment of the financial market.
Raising funds is one of the most critical stages in the life of a startup. Whether you're looking to develop your product, scale operations, or expand into new markets, securing investment can be a game-changer. However, navigating the fundraising process requires careful planning, preparation, and strategic execution.
In the world of financial analysis, profitability ratios play a crucial role in assessing a company's operational efficiency and overall financial health. One such essential metric is Return on Sales (ROS), which helps stakeholders understand how well a company converts its sales into profit.
Exchange-traded funds (ETFs) have gained immense popularity among investors due to their ability to provide diversification, liquidity, and cost-effectiveness. However, understanding how the price of an ETF is determined can be complex, especially for those new to this type of investment.
In the rapidly evolving world of financial technology, AI-driven stock trading apps are becoming increasingly popular. Retail and institutional investors alike are leveraging the power of artificial intelligence to develop sophisticated trading algorithms that can analyze vast amounts of data and make split-second decisions.
This year, we're seeing a reckoning in the financial data space. The "lag" – the time it takes for users to realize they can't rely on cheap data or for providers to realize their models are unsustainable – has caught up to us. Smaller data companies are shutting their doors, financial data users are fed up with poor quality, and fees for market data are increasing.
In the world of modern finance, the terms algorithmic trading and automated trading are often used interchangeably. However, while they share similarities, they are not the same. Understanding the nuances between the two is essential for traders, investors, and fintech developers looking to integrate these trading strategies into their portfolios or platforms.
Options trading can be a powerful tool for both hedging and speculation, providing investors with flexibility and leverage to profit from market movements. However, with the potential for high returns comes high risk, and managing that risk is critical for successful options trading.
For investors aiming to make informed decisions in the stock market, analyzing a company's fundamentals is essential. Fundamental analysis involves examining financial and economic factors that influence a company's intrinsic value, providing insights into its stability, profitability, and growth potential.
Stock fundamentals are the building blocks of fundamental analysis, an essential part of evaluating a company’s intrinsic value and overall financial health. Investors, analysts, and financial professionals use stock fundamentals to assess whether a company is a worthwhile investment by examining key financial and economic indicators that reveal its performance, stability, and growth potential.
Options are financial derivatives that give investors the right, but not the obligation, to buy or sell an asset (typically a stock) at a predetermined price within a specific timeframe. The options market allows traders to hedge risks, speculate on price movements, or generate income through various strategies.
When it comes to understanding the financial health of a business, two of the most critical financial statements are the income statement and the balance sheet. These documents provide valuable insights into different aspects of a company's performance and stability.
When it comes to understanding the financial health of a business, two of the most critical financial statements are the income statement and the balance sheet. These documents provide valuable insights into different aspects of a company's performance and stability.
Automated trading systems, also known as algorithmic trading, have revolutionized the way investors interact with financial markets. These systems allow trades to be executed automatically based on predefined criteria and are designed to take advantage of market movements more efficiently than human traders.
The financial markets offer investors and traders a wide variety of strategies, approaches, and tools to optimize their returns. Two of the most prominent methods are manual trading and automated trading, both of which come with their unique advantages and challenges.
The financial markets are rapidly evolving, and AI-driven stock trading solutions have become a game-changer for investors. Automated trading systems powered by machine learning and artificial intelligence (AI) enable traders to make data-driven decisions at an unprecedented speed and scale.
Unlevered free cash flow (UFCF) is an essential financial metric that provides investors and analysts with a clear picture of a company’s ability to generate cash before accounting for financial obligations such as debt repayments.
Exchange-Traded Funds (ETFs) have become a popular investment vehicle for individuals looking to diversify their portfolios, access various sectors of the market, or invest in specific strategies.
Investing in the financial markets inherently involves risk. To account for this risk, investors require a return above the risk-free rate. This additional return is known as the market risk premium.
Artificial Intelligence (AI) has transformed industries across the board, and the world of stock trading is no exception. In recent years, AI-powered stock trading applications have emerged as a game-changer, allowing traders and investors to leverage massive data sets and complex algorithms to predict market movements, execute trades with precision, and optimize portfolio performance.
In the rapidly evolving world of financial markets, automated trading has emerged as a powerful tool for investors, enabling them to execute trades with speed, precision, and efficiency. Whether you’re a retail investor or a large institution, automated trading can help you optimize your strategies and remove the emotional component from trading.
The retention ratio is an essential financial metric used by investors, analysts, and companies to assess how much of a company's earnings are being retained and reinvested back into the business versus distributed to shareholders as dividends. Understanding the retention ratio provides insights into a company's growth strategy, financial health, and long-term sustainability.
Algorithmic trading has transformed the way investors approach the stock market, enabling the use of data-driven strategies to automate trades and optimize performance. Whether you’re a retail investor or a seasoned professional, creating a trading algorithm can help you capitalize on market opportunities faster than any human trader could.
In today’s fast-paced financial markets, algorithmic trading has become a dominant force, transforming the way stocks, commodities, and other financial assets are traded. Algorithmic trading, also known as "algo-trading" or "automated trading," leverages computer algorithms to execute trades at speeds and frequencies that would be impossible for human traders to achieve manually.
Navigating the world of stock trading can sometimes feel like trying to read a foreign language. If you’re new to investing or just looking to sharpen your skills, one of the most crucial tools at your disposal is the stock chart.
Investing in stocks can be an exhilarating ride, offering the potential for significant returns. However, like any adventure, it comes with its share of risks. Navigating these risks effectively can mean the difference between a rewarding investment journey and a financial misstep.
Ever find yourself gazing at a stock chart and wondering, “How on earth did it get to that number?” You're not alone. Stock prices can seem like a mysterious whirlwind, shifting and changing in ways that can feel both fascinating and baffling.
In recent years, artificial intelligence (AI) has transformed the landscape of stock trading. The rise of DIY AI applications has democratized access to sophisticated trading tools, allowing individuals and organizations to harness the power of machine learning to make more informed investment decisions.
If you’re delving into the world of trading and investing, you’ve likely come across terms like “quantitative trading” and “algorithmic trading.” They sound similar, and it’s easy to see why they might be confused with one another. After all, both involve sophisticated strategies and technology. But they’re not quite the same thing. In this blog,
A consensus estimate is a forecast of a company's earnings or other financial metrics, derived from the average projections of a group of analysts. These analysts, who are often employed by investment banks and research firms, scrutinize various aspects of a company's performance and industry trends to predict future financial outcomes. The consensus estimate is essentially a collective opinion, reflecting a broad view of expectations for a company's performance over a specific period.
Options trading can seem complex, but with the right strategies, it can be a powerful tool for enhancing your investment portfolio. Whether you're looking to hedge your investments, generate income, or speculate on market movements, options offer flexibility and opportunities. In this guide, we'll explore five popular options trading strategies and provide insights into how you can utilize them effectively.
Fundamental analysis is a method used by investors and analysts to evaluate the intrinsic value of a security by examining related economic, financial, and other qualitative and quantitative factors. Unlike technical analysis, which focuses on historical price patterns and trading volumes, fundamental analysis aims to determine a security’s real worth based on an in-depth understanding of the business and its environment.
Hello, I’m Rachel, the CEO of Intrinio. Today, I’m thrilled to introduce a groundbreaking new product that is set to transform how investors, analysts, and financial professionals access and utilize news: Intrinio's Live-Stream News API for US companies.
This innovative service, developed through our strategic partnership with Moody's, offers real-time news that’s crucial for making informed financial decisions.
Hello and welcome! I'm Rachel, CEO of Intrinio. Today, we're exploring a transformative shift in the financial world—how artificial intelligence is unleashing new potential in financial data collection. We'll dive into how this surge in AI technology is not just changing the game but revolutionizing it entirely.
Hello everyone, I’m Rachel, the CEO of Intrinio. Today, we’re diving into an essential topic for fintech developers, founders, and investors alike: The Best Practices for Integrating Real-Time Stock Prices into Your Platform.
Whether you’re building a trading app, financial analytics software, or any tool that leverages financial data, this article will guide you through everything you need to know to integrate real-time stock prices effectively.
Hey everyone, I'm Rachel, CEO of Intrinio. Today, we're diving deep into the world of real-time options data and how it can be a powerful tool for forecasting market trends.
Whether you're a trader, an analyst, or a financial planner, understanding how to leverage this data effectively can give you a significant edge in the market.
In the fast-paced world of finance, investors constantly seek ways to stay ahead of the curve and make informed decisions. One crucial aspect of this process is tracking the biggest market movers—stocks, indices, or other financial instruments that experience significant price changes and attract attention from investors and analysts alike.
In the constantly evolving world of finance, staying informed about the biggest stock movers is crucial for investors seeking to capitalize on market opportunities and mitigate risks. The frequency with which one should track these market movers depends on various factors, including investment strategy, risk tolerance, and the resources available for monitoring the market.
In the fast-paced world of finance, staying informed about the biggest stock movers is crucial for investors seeking to maximize their returns and minimize their risks. By keeping a close eye on the stocks and securities experiencing significant price movements, investors can gain valuable insights and capitalize on emerging opportunities.
In the dynamic world of finance, staying ahead of the curve is essential for investors aiming to maximize returns and manage risks effectively. One critical aspect of achieving this is identifying the biggest market movers—stocks or securities that experience significant price changes and trading volumes.
Today's article is tailored for anyone in the fintech industry, especially those of you developing trading and investing tools. We will explore a crucial aspect of your development process: building a scalable financial platform with the right data integrations from the start.
Whether you’re a financial analyst, developer, or entrepreneur, understanding our platform's unique benefits can transform how you access and utilize financial data.
Discover the secrets of the options market through our latest collaboration, which explores the power of the Intrinio API to analyze unusual options activities. This compelling article on a third-party site delves into the nuances of using Python to extract and interpret options data, focusing on important metrics such as Open Interest and Volume.
As the financial technology sector grows more dynamic, the need for exact and immediate market data has never been more pressing. It’s more than just a necessity; it’s a competitive advantage. With rapid innovations and evolving challenges, the industry demands tools that not only keep pace but also enhance the decision-making process. As the landscape grows increasingly complex, the demand for precise and immediate market data has escalated dramatically.
In today's fast-paced financial markets, access to real-time options data has become increasingly critical for investors, traders, and financial professionals seeking to make informed decisions and stay ahead of market trends.
In today's dynamic financial markets, access to intraday stock data is essential for traders, analysts, and investors seeking to gain valuable insights and make informed decisions. In this comprehensive guide, we'll delve into the world of intraday stock data, exploring its definition, applications, benefits, target audience, available sources, and how Intrinio offers a reliable solution for accessing historical intraday data.
Tracking stock market performance is a fundamental aspect of successful investing and trading. Whether you're a seasoned investor or just starting out, staying informed about market trends, price movements, and economic indicators is essential for making informed decisions and achieving your financial goals.
In today's fast-paced financial markets, access to live market data is essential for investors, traders, and financial professionals seeking to stay ahead of the curve. Live market data provides real-time information on stock prices, trading volume, bid and ask quotes, and other critical market metrics, enabling market participants to make informed decisions and capitalize on emerging opportunities.
If you haven’t heard about unusual options activity, we’re a bit concerned you’ve been living under a rock. As the trading of options has exploded in popularity, investors, fintech companies, and app developers have been hunting for unique changes in options trading data to identify anomalies and capitalize off them. Analyzing unusual options data can be incredibly lucrative, so read on if you are interested in diving into this unique, powerful, and alpha-driven trend.
In the intricate web of financial operations, back and middle office workers play a pivotal role in ensuring the smooth functioning and integrity of financial processes. From trade settlement and reconciliation to risk management and compliance, these unsung heroes navigate a labyrinth of data and systems to keep the wheels of finance turning.
In the world of finance, the intersection of artificial intelligence (AI) and stock picking has garnered significant attention and debate. Can AI truly outperform human investors in selecting winning stocks?
In today's fast-paced financial markets, access to historical stock data is essential for informed decision-making and strategic analysis. From backtesting trading strategies to conducting in-depth market research, historical stock data serves as a valuable resource for investors, analysts, and researchers alike.
In the dynamic and ever-evolving realm of finance, the integration of artificial intelligence (AI) with stock trading has ignited significant interest and debate. The tantalizing question persists: Can AI truly surpass traditional investment strategies and consistently outperform the stock market?
In today's fast-paced financial markets, access to real-time stock data is essential for making informed investment decisions, executing trades with precision, and staying ahead of market movements.
In the realm of financial markets, timing is everything. Investors and traders rely on timely and accurate information to make informed decisions and capitalize on market opportunities. However, not all market data is created equal. One common type of data delay that investors encounter is 15-minute delayed stock prices.
In the fast-paced world of options trading, access to real-time data can make all the difference between success and missed opportunities. As businesses navigate the complexities of financial markets, having timely and accurate options data at their fingertips is crucial for developing effective trading strategies, managing risk, and maximizing returns
In the vast landscape of investment opportunities, Exchange-Traded Funds (ETFs) stand out as a popular choice among investors seeking diversification and flexibility. However, navigating the world of ETF investing requires a solid understanding of key metrics, and one such metric is the expense ratio.
In the realm of monetary policy and financial markets, few indicators carry as much weight as the Federal Funds Rate. As a key tool of the Federal Reserve, the Fed Funds Rate plays a pivotal role in shaping economic conditions, influencing borrowing costs, and steering the direction of financial markets.
In the dynamic world of options trading, staying ahead of market trends and identifying potential opportunities is crucial for investors and traders alike. One strategy gaining traction among market participants is monitoring unusual options activity. But what exactly does this entail, and how can you effectively find and capitalize on such activity?
Understanding liquidity ratios is crucial for investors and financial analysts alike as they provide insights into a company's ability to meet its short-term financial obligations. Liquidity ratios measure a company's ability to convert its assets into cash quickly to cover its current liabilities.
