Artwork

Content provided by QuantLabs.net. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by QuantLabs.net or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Insights on "C++ High Performance for Financial Systems"

10:44
 
Share
 

Manage episode 408873210 series 2359874
Content provided by QuantLabs.net. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by QuantLabs.net or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Hello everyone! In this episode, our host, Brian from quantlabs.net, dives into a discussion regarding the upcoming book, "C++ High Performance for Financial Systems," by Ariel Silihan. Throughout the podcast, Brian provides an overview of the book and shares his opinions about the chosen publisher, PACT.

The book promises to guide experienced programmers seeking to break into the finance industry by teaching them how to build high-performance trading systems. It covers subjects such as system design and architecture, low latency strategies, risk management, and machine learning. Although the author is highly capable, Brian presents some concerns about the publishing company's credibility as it has been criticized for its lack of editorial contribution.

Brian also talks about the inherent challenges in teaching these complex concepts through a book, given the rapidly evolving landscape of this field. He also provides some insights on what it takes to gain a real competitive edge beyond what one can learn from such books.

It's suggested that the book is primarily intended for experienced C++ developers looking to enter the finance industry and anyone interested in creating scalable, robust trading systems. Familiarity with C++, basic understanding of finance, and trading concepts is assumed for readers.

reddit.com/r/cpp/comments/1bjkkos/c_high_performance_for_financial_systems/?rdt=64280

amazon.ca/High-Performance-Financial-Systems-leveraging-ebook/

Join our Discord for quant trading and programming

news https://discord.gg/k29hRUXdk2

Get our free trading tech books here books2 – QUANTLABS.NET

Know what I trade on my Substack Quantlabs Substack | Substack

Although the helpfulness of the book is still to be determined, Brian extends an invitation to discuss the subject further in his Discord community. Listen to the podcast to get a full understanding of Brian's take on this upcoming release, and don't miss his recommendations for learning and trading!

  continue reading

147 episodes

Artwork
iconShare
 
Manage episode 408873210 series 2359874
Content provided by QuantLabs.net. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by QuantLabs.net or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Hello everyone! In this episode, our host, Brian from quantlabs.net, dives into a discussion regarding the upcoming book, "C++ High Performance for Financial Systems," by Ariel Silihan. Throughout the podcast, Brian provides an overview of the book and shares his opinions about the chosen publisher, PACT.

The book promises to guide experienced programmers seeking to break into the finance industry by teaching them how to build high-performance trading systems. It covers subjects such as system design and architecture, low latency strategies, risk management, and machine learning. Although the author is highly capable, Brian presents some concerns about the publishing company's credibility as it has been criticized for its lack of editorial contribution.

Brian also talks about the inherent challenges in teaching these complex concepts through a book, given the rapidly evolving landscape of this field. He also provides some insights on what it takes to gain a real competitive edge beyond what one can learn from such books.

It's suggested that the book is primarily intended for experienced C++ developers looking to enter the finance industry and anyone interested in creating scalable, robust trading systems. Familiarity with C++, basic understanding of finance, and trading concepts is assumed for readers.

reddit.com/r/cpp/comments/1bjkkos/c_high_performance_for_financial_systems/?rdt=64280

amazon.ca/High-Performance-Financial-Systems-leveraging-ebook/

Join our Discord for quant trading and programming

news https://discord.gg/k29hRUXdk2

Get our free trading tech books here books2 – QUANTLABS.NET

Know what I trade on my Substack Quantlabs Substack | Substack

Although the helpfulness of the book is still to be determined, Brian extends an invitation to discuss the subject further in his Discord community. Listen to the podcast to get a full understanding of Brian's take on this upcoming release, and don't miss his recommendations for learning and trading!

  continue reading

147 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide