Support Vector Regression in 6 Steps with Python

Support Vector regression is a type of Support vector machine that supports linear and non-linear regression. As it seems in the below graph, the mission is to fit as many instances as possible…

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Algo Trading in the Cloud

What if there was a way for traders to focus only on the trading logic — without worrying about stuff like broker connectivity, data management, or infrastructure? Now there is…

The last few months got me busy like a bee…

But the more I tried to simplify things, the more I realized that the programmatic trading landscape is a mess.

Think about this:

Being a programmatic trader requires skills that are entirely unrelated to trading!

Ridiculous.

Aside from generating trading signals, traders need to know how to work with streaming data, process “big data” in real-time, manage server infrastructure, parsing logs, etc.

Traders need to be transformed into a trading powerhouse with the skills of a Quant Researcher, a Quant Developer, a Programmer, DevOps Engineer, and a Database Administrator, to name a few.

Even if someone were to hold all those skills, they would still need to deal with the fragmented nature of the industry and familiarize themself with each broker’s API implementation, SDKs, and software.

This whole situation got me thinking…

“What if there was a way for traders to focus only on the trading logic — without worrying about stuff like broker connectivity, data management, or infrastructure?”

What is Tradologics?

Tradologics is the first cloud platform built with the specific needs of programmatic traders in mind. It lets traders research, test, deploy, monitor, and scale their trading strategies — allowing them to focus on the important things, like trading logic.

Tradologics’ goal is to make sure that the future of trading is frictionless by offering a myriad of tools and services aimed to solve every part of the trader’s business cycle, allowing them to focus on trading, while we take care of everything else.

We’ve just started a private beta phase with a small userbase. As we gradually grow, we’re going to allow more and more traders to use the platform.

Until then — Happy trading! 💪

Ran

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