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David Bush

Experienced trader with a background in music, who transitioned from discretionary to quantitative trading and achieved success in the financial markets.

Best podcasts with David Bush

Ranked by the Snipd community
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18 snips
Jun 4, 2015 • 1h 13min

023: David Bush – The Transition From Discretionary to Quantitative Trading & How to Optimise Your Strategy

I was fortunate enough to speak with David Bush, an extraordinary, seasoned trader with 20 years experience in financial markets.David comes from a non-traditional background, and what I mean by this; he has no formal education in the field of finance. In fact, he is a music graduate and performed as a professional musician for many years.But as you’re about to hear, David changed paths during his twenties to become a trader. After overcoming the initial challenges that all new market participants endure, David did well for himself as a discretionary trader for many years.But with an urge to optimize his trading approach he gradually transitioned into a quantitative trader and went searching for new ways to exploit opportunities within the market. From there David has gone on to take out the number one spot of BattleFin’s ‘Sharpe Ratio Shootout’ (an international quantitative finance tournament), with over 3000 competitors.During our interview David brings a really insightful take to topics such as the transition from discretionary to quantitative trading, how to eliminate a single point of failure by trading multiple systems, and how the Monte Carlo tool can teach you a lot about how robust your strategy really is. Learn more about your ad choices. Visit megaphone.fm/adchoices
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Oct 14, 2023 • 1h 46min

007 - David Bush of Alphatative - Mean Reversion Rhythms

David Bush, a trader of mega-cap US equities, talks about mean reversion and risk management. He discusses a specific strategy that profits and hedges positions during difficult regimes. David, an accomplished musician, shares the relationship between music and trading. The podcast explores different types of systems in a long short equity strategy, multiple sub strategies within a meta system, and the use of non-price data in market analysis. David also mentions his interest in genetic algorithmic strategies and analyzing cryptocurrency market setups.

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