Papers With Backtest: An Algorithmic Trading Journey
Papers With BacktestWelcome to Papers With Backtest, where data means profit in the world of algorithmic trading. Each episode dives into backtests, real-life trading applications, and groundbreaking research that every aspiring quant should know. Tune in to stay ahead in the algo trading game. Our website: paperswithbacktest.com/ Hosted on Ausha. See ausha.co/privacy-policy for more information.
| Publishes | Weekly | Episodes | 77 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Business | |||
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Latest Episodes
Have you ever wondered how value and momentum investing can transcend borders and asset classes? Join us in this enlightening episode of Papers With Backtest: An Algorithmic Trading Journey, where we dissect the groundbreaking research paper "Value a... more
Have you ever wondered how some stocks consistently outperform the market while others languish in obscurity? In this riveting episode of the Papers With Backtest: An Algorithmic Trading Journey podcast, we dive deep into the groundbreaking research ... more
Have you ever wondered if the principles of momentum that drive stock prices can also be applied to investment factors like value, size, and profitability? In this enlightening episode of Papers With Backtest: An Algorithmic Trading Journey, the host... more
Are you ready to unlock the secrets of smarter investing? In this episode of the Papers With Backtest: An Algorithmic Trading Journey podcast, we dive deep into the groundbreaking 2016 research paper "Timing Smart Beta Strategies" by Rob Arnott, Noah... more
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- “Too Conversational”
The male and female voice change too frequently and far too much sudden and useless “hmm” “ok…” which are distracting. Otherwise nice content.
Apple Podcasts4lscantab
Hong Konga year ago
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Apple Podcasts | #215 |  Ireland/Business |
Apple Podcasts | #246 |  Israel/Business |
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Frequently Asked Questions About This Podcast
What is This Podcast about and what kind of topics does it cover?
Focusing on algorithmic trading, the series explores various aspects of quantitative finance and trading strategies. Each episode typically analyzes academic research papers that provide insights into effective backtesting methods, market behavior, and innovative trading strategies. Topics discussed include investor sentiment, unusual trading volumes, seasonal effects, and the practical applications of machine learning in trading. By emphasizing data-backed insights, the content is designed to cater to both novice traders and experienced quants looking to refine their strategies and enhance their understanding of market mechanics. Unique to this series, the thorough breakdown of research findings paired with real-world applicability sets it... more
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this podcast launched 2 years ago and published 77 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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