We recently made improvements to both our public and private networks. Taking our public network to 40gbps, as well as increasing our internal networking to 80gbps per node. These networking upgrades, along with brand new routers mean more throughput for your API requests and data streams.
In addition, all of the equipment is now colocated in the same cage instead of dispersed through-out the data center for even lower latency and manageability. We've also added a ton (literally) of additional hardware including entirely new racks, PDUs, and SSDs.
All beautifully wired together for faster performance, greater capacity, and improved redundancy for your API requests.
This tutorial demonstrates how to detect short-lived statistical anomalies in historical US stock market data by building tools to identify unusual trading patterns and visualize them through a user-friendly web interface.
In this tutorial, we'll explore the capabilities of Polygon.io’s Related Companies API, where we learn how to identify and visualize intricate corporate relationships using Python and vis.js.