Welcome to another episode with Brian from quantlabs.net, recorded on the 22nd of April. In this episode, Brian explores two significant forum posts that have recently caught his attention on quant.stackexchange.com. The central theme revolves around resources to learn algo trading quant development. Our host provides some impressive insights that could be beneficial for those interested in quantitative trading.
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A user's question on the forum sparks the discussion - the user is a full-time stack developer for three years and is now interested in learning algo trading quant dev development. They are seeking advice on resources, books, and suitable programming languages to learn. Brian shares one effective resource he stumbled upon - Wilmot.com. It isn't just a job-posting site, but it also includes details on who the job postings are for. The likes of JP Morgan, Goldman Sachs, HSBC are just few names from the list. This resource might be useful for anyone looking to delve deeper into the quant industry.
Moving on, Brian discusses a vast list of books available on quant.stackexchange.com that can be beneficial for anyone venturing into quantitative finance. He warns about the potential for analysis paralysis given the extensive list. He also shares his top picks from the list, including books from Mark Joshi and Dr. Ernie Chan, and more. He also alludes to some upcoming interviews with industry experts like Robert Pardo and the later Dr. Ernie Chan on his YouTube channel and podcast.
Apart from those, Brian recommends three more books to dive into quantitative finance. They include 'The Concept of Practiced Mathematical Finance' by Mark Joshi, 'Paul Wilmont on Quantitative Finance' by Paul Wilmont, and 'Options, Futures, and Other Derivatives' by John Hall. He advises new entrants to start with Paul Wilmott's book series which covers all major components of quant.
Finally, Brian introduces TradersPost.io, a service that can help interested individuals to get up and running quickly in the world of algorithmic trading with minimal programming. Once again, he invites listeners to join his Discord community to discuss these topics more and sign up for his email list for some big announcements. He concludes the episode looking hopeful to get Dr. Ernie Chan again on the show for another interview on his latest company launch on machine learning.
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Understanding the Intricacies of Market Makers in High-Frequency Trading
Unlocking the Mysteries of Forex, Cryptocurrency, and Real Estate Trading
Explore Algorithmic Trading in Crypto Exchanges vs Bitcoin ETFs
Top Algo Trading Courses After MBA Finance
Automated Crypto Trading with Coinbase, TradersPost.io, and TradingView
Unpacking Quant Aspect's 21% Net Gain in Forex Market Betting
A Deep Dive About Coming Chinese Quant Firm International Expansion
Market Efficiency Impacton the future of Quant
Mastering Automated Trading With TraderPost.io and Interactive Brokers
Your Solution for Executing Trades with TradingPost.io
A New Frontier for Algo Traders Who Don't Program
AI, Expert Developers, and Open Source Dependencies
Is It Necessary Or A Friction To Market Freedom?
What are Your Questions Algo Trading Legend - Robert Pardo
Exploring the Power of KDB+ for High-Frequency Trading and Data Analytics
Navigating The Terrain of Quantitative Development
Exploring High-Frequency Trading and Data Processing with DPDK
High-Frequency Trading Firms Hiring Video Game CEOs & Ex-Bank Directors
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