Kory Hoang is not a veteran trader—he’s not someone who has been doing this 10-20 years. He’s someone who has been doing this for only a few years, yet he’s begun to make decent gains on his trading capital.
Kory is also not a full-time trader …well, at the time of recording this—a few weeks ago—he wasn’t! Kory was a private equity analyst for Pitchbook, who traded on the side. But he’s since informed me that he’s handed in his notice and taken the leap to focus on trading (plus a couple startup projects).
In terms of how he trades; Kory is a retail systematic trader. He’s running numerous algorithmic strategies, which he’s developed (all of which are fairly simple). These run on various ETFs, ETNs and even some cryptocurrencies.
Topics of discussion:
Interning at Merrill Lynch, getting hooked on trading—expectations when starting out, what turned Kory from “gambler” to an aspiring algorithmic trader.
Resources which Kory leaned on when learning to code, and what gave him the confidence to put real money behind his first strategy (after many experiments).
Kory explains his; framework for testing which assets are best suited for mean reversion or momentum strategies, thoughts on indicators and few parameters.
How to work a full-time job and run an algorithmic trading business on the side (while contributing to charitable causes!) Plus a guide to Kory’s targeted returns.