On the intersection of trading, machine learning and AI
In this ongoing series, we ask members of the team critical guiding questions that drive the way we approach our work with ChatQ. In this piece, Marketing Lead Hana Takada discusses trading, machine learning and AI with Advisor Jerome Siv.
Hana: So, today we’re talking about the intersection between trading, machine learning and AI. Are you ready?
Jerome: Sure, fire ahead.
Hana: What is your background when it comes to trading?
Jerome: I first started trading US futures as a pure hobby back in 2008. Right after graduating, I joined a prop-trading firm, Cantor Fitzgerald to trade European and US stocks. After 3 years, I moved to Credit Suisse as portfolio manager where I focused on quantitative trading of US listed companies. I am now working as an independent trader and investment advisor, and mainly trade US futures and equity.
Hana: You’re currently helping us here at ChatQ in creating automated tools that assist in trading. What is the process that you go through in supporting us?
Jerome: It is essential to understand the need of the audience first. We have spent a lot of time talking to active investors to understand the areas of their activity where automation can help. While the tools needed can vary for each individual, there are recurring needs such as pattern recognition, for which most users will find a practical applications.
Understanding the needs and building the correct bots is our first priority, but I spend an equal amount of time and energy helping on the user experience in general. The goal is to provide users with simple yet efficient tools they can understand and use at their full potential.
Hana: Do you think that someone like me, who is a beginner trader, can benefit from trading with bots?
Jerome: Definitely, a bot is just replacing what you would usually do manually. Bots act as assistants that help you identify investment opportunities matching your criterias, across multiple markets. Their use is particularly well suited for beginners, as they will help you remove part of the emotions from your trading, while strengthening your overall discipline.
Hana: Awesome! I look forward to trying it all out then!
Hana: Last question, what do you see as the future of trading and automated tools with machine learning and AI?
Jerome: Over the next decade, I believe AI and machine learning will significantly benefit retail investors. They will allow them to apply probabilistic and statistical approaches to trading decisions. As a result, more and more strategies will be operated by robots rather than humans. I’m convinced that if they are given the right tools, the proportion of profitable retail traders will grow drastically from current numbers. Now is a good time to learn about bots.
Hana: Wonderful. I can’t wait to roll out what you’ve been working on with our development team to the public.
For more information on the ChatQ platform, check out www.chatq.sg, and follow us on www.twitter.com/chatq_sg, www.medium.com/@chatq, and join our Telegram group http://t.me/chatq_sg!
