Introducing Flat Files: Bulk Data Simplified
Meet Flat Files, our latest innovation designed for hassle free self-serve access to large financial market datasets.

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More posts from Team Polygon
Meet Flat Files, our latest innovation designed for hassle free self-serve access to large financial market datasets.
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Learn how to create an interactive Treemap visualization of stock market conditions using Polygon.io's Snapshot API and D3.js.
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In this tutorial, we will build a Python tool inspired by the Unix top command to monitor real-time stock market trades using Polygon’s python-client library. We will start by connecting to Polygon's stocks websocket server, then subscribe to a continuous stream of trades, covering all stocks, across the entire US stock market. The tool will show trade activity in 5-second intervals, maintaining running totals, and sorting tickers by trade volume. This tutorial provides a hands-on experience, di
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We've introduced historical second aggregates based on user feedback, and enhanced our system monitoring to ensure you're always updated in real time.
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A comprehensive guide for accessing market data using Polygon.io's APIs and the JVM client SDK written in the Kotlin programming language.
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We've been hard at work introducing new features such as our Universal Snapshot API, a Polygon plugin for ChatGPT, and Indices data. We've also made a number of improvements to our services and have some exciting case studies and tutorials to share with you.
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In this case study, we are excited to share an insider's perspective and look under the hood of how a Polygon.io customer built an automated retail trading bot that is capable of monitoring the entire stock market in real-time.
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Discover the newly launched Universal Snapshots API, a powerful tool providing streamlined and consistent market data across Stocks, Options, Indices, Forex, and Crypto assets, all in one API call - enhancing your market analysis and decision-making process.
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Introducing the Polygon plugin for ChatGPT, a powerful tool that simplifies financial research by providing easy access to real-time and historical market data for Stocks, Options, Indices, Forex, and Crypto.
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Explore how to identify stock correlations and enhance portfolio diversification by building correlation matrices with Python and Polygon's python-client library in this comprehensive tutorial.
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We are excited to announce the launch of the Indices API endpoints, offering real-time and historical market data for over 11,400+ Indices, including the S&P 500, Dow Jones Industrial Average, Nasdaq-100, and the VIX. With access to comprehensive market data, businesses and individual investors can make informed decisions in today's rapidly evolving financial markets. We have brought the same low-latency and developer-centric API design of our
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A comprehensive guide for accessing market data using Polygon.io's APIs and the JavaScript programming language.
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Discover the benefits of using gzip compression for faster downloads and how to get started with Python, Go, and cURL.
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We are excited to announce the launch of CSV support for our REST APIs. You can now choose between JSON and CSV formats when making requests to our platform for Stocks, Options, Forex, and Crypto market data. With the addition of CSV support, you no longer need to transform or convert the data manually, which makes working with financial data more accessible. In this blog, we will walk you through the new feature, provide examples, as well as links to our docs for reference. Getting Started By
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We will analyze the trade activity around US regional banks that have been experiencing financial difficulties, using a data-driven approach with Polygon's stock and options market data
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A comprehensive guide for accessing stock market data using Polygon.io's APIs and the Go programming language.
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In this blog post, we will show you how to access market data using Polygon's Stock API and the Python programming language. Polygon is a financial data platform that provides both real-time and historical market data for Stocks , Options [https://polygon.io/docs/options/getting-started?utm_source=blog&utm_cam
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