Blog

Hey! It’s Rachel, the CEO of Intrinio. Python is one of the most popular languages in fintech, and it’s a powerful way to analyze data. Choosing the right tech stack is critical for investors and fintech app developers, and Python has been increasing in popularity for a decade—for good reason. Its simple syntax means quicker deployment and less code, and the open-source libraries are a lifesaver. Plus, it’s the language of choice for most quants and financial institutions. The next step after choosing your programming language is to find access to a great financial data API. It’s likely that you’ll need to integrate things like stock prices or financial metrics into your algorithms and/or platform, but finding an affordable data provider can be challenging. This is why most fintech developers are on the hunt for a free stock market API in Python.

When it comes to investing, opportunities are as diverse as the markets themselves, but commodities trading stands out as a captivating and potentially profitable venture. If you're new to this exciting domain, fear not – this comprehensive guide will take you on a journey through the ins and outs of commodities trading.

As we step into 2023, the world of real-time stock data is undergoing remarkable transformations, redefining how investors and traders make crucial decisions. Staying ahead in today's dynamic financial markets demands keeping a pulse on the latest trends and developments in this domain, especially for quants, traders, and fintech app developers. In this blog post, we embark on an exploration of what real-time stock data looks like in 2023, uncovering the key trends and developments shaping the industry.

Welcome to our beginner's guide to stock trading strategies! If you're new to the world of trading, understanding the various strategies can be a bit overwhelming. Don't worry; we're here to simplify things for you. In this guide, we'll cover the fundamentals of day trading strategies, how to choose the right one, and the importance of using reliable financial data sources like Intrinio to enhance your trading decisions.

‍

In the world of finance, accurate and reliable information is crucial for decision-making. Financial statements play a pivotal role in providing a comprehensive overview of a company's financial performance and position. They serve as the backbone of financial analysis, helping investors, creditors, and other stakeholders assess a company's health and make informed decisions. In this blog post, we will explore the major types of financial statements, discuss their similarities and differences, and delve into the question of which one is the most important.

Making sound investment decisions is crucial for businesses and individuals alike. Net Present Value (NPV) is a widely used financial metric that helps evaluate the profitability and attractiveness of an investment. In this blog post, we will delve into the concept of NPV, explain the NPV formula, guide you through the process of calculating NPV, provide an example for better understanding, and discuss the advantages and disadvantages of using NPV as an investment evaluation tool. 

‍

The Discounted Cash Flow (DCF) method is a widely used financial valuation technique that helps determine the intrinsic value of an investment by considering the time value of money. In this blog post, we will explore the concept of Discounted Cash Flow, explain the DCF formula, guide you through the process of calculating DCF, provide examples for better understanding, and discuss the advantages and disadvantages of using the DCF model as a valuation tool. We’ll also provide some helpful tips about how to gather the underlying data required to perform a discounted cash flow analysis.

When it comes to monitoring and analyzing real-time stock data, having an effective display system is crucial. Designing a system that presents real-time stock data in a clear and actionable manner can significantly enhance decision-making processes for investors and traders. In this blog post, we will explore popular methods and tools for displaying real-time stock data, highlight systems that would benefit the most from Intrinio's data, and provide insights on designing the best system to display real-time stock data and prices.

Real-time stock data is an incredibly valuable data feed for making informed investment decisions, and it’s critical for almost all investors. At Intrinio, we often talk to customers who are curious about why they have to pay for access to real-time stock data. In this blog post, we will explore the pricing of real-time stock data, the factors that affect its cost, and the reasons why it isn't ever available for free. Additionally, we will provide insights on how to choose the best real-time stock data provider.

At Intrinio, we understand the critical role that historical tick data plays in the financial world. Tick data refers to the individual trade or quote data points that make up the transaction history of a security. This time-stamped record of transactions provides traders, analysts, and researchers with a granular view of market activity, enabling them to make informed decisions. In this blog post, we will explore what historical tick data is, why it is important, where to find it, how to ensure its quality, and how to effectively utilize it in your analysis.