In this episode, we’re joined by @GoshawkTrades, a systematic and algorithmic trader running 12+ live strategies across futures, equities, and crypto.  We talk about how he got into trading, why he moved toward systematic strategies, what he got wrong early, and what his trading looks like today.  We also cover where strategy ideas come from, how to test them properly, the most common backtesting mistakes, strategy decay, correlation across multiple algos, risk management, kill switches, quant vs discretionary trading, and how AI agents could change markets over the next few years.

00:00 Getting into trading and moving from discretionary to systematic 

03:47 Shorting small cap gappers and finding his first profitable system 

08:50 Moving from small caps into futures and crypto 

13:44 Discretionary trading, FOMO, and scratching the itch responsibly 

18:57 Where systematic strategy ideas come from 

23:34 Building a portfolio across trend, mean reversion, and inefficiencies 

31:41 Whether trend following still works in sideways markets 

40:07 How he sizes and allocates between strategies 

46:24 Dealing with drawdowns and knowing when to cut a strategy 

53:33 The biggest mistakes newer algo traders make 

01:05:50 Finding edge in new markets