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In video two of SMB’s new Quant series Paul Tunney discusses why you should use CloudQuant to develop an algorithmic trading model.

SMB Quant Video 2 – Democratization of Trading – CloudQuant

In video two of SMB’s new Quant series they interview yours truly, Paul Tunney, to discuss what CloudQuant is and why you should use it to develop an algorithmic trading model.
In this video we discuss…

  • The Goal of CQ – The democratization of Trading Data and systems.
  • Pre-Requisites – You will need to know Python, but the skill of programming will be hugely beneficial for your entire life.
  • How to create a model – Why the question “How do I create a model?” is similar to the question “How do I write a song?”
  • What is unique about CQ – Built by real world Quants for real world Quants 
  • What about ML and AI – Requires a lot of data, getting, managing and using that data is difficult.
  • What we hope people will do with CQ – We hope to get a few great new smart Algo creators who are currently outside of Wall Street.
  • Funding – We will fund your models, at a level you could never manage yourself. And we take on the risk.
  • The Future – CloudQuant AI

 

Duration : 63m