
Welcome 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 | 71 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Business | |||

Have you ever wondered why lottery stocks—those tantalizing investments with a slim chance of massive payoffs—often underperform, especially after investors face losses? Join us in this enlightening episode of the Papers With Backtest: An Algorithmi... more
Did you know that 50% of institutional investors are planning to enhance their use of alternative data in their trading strategies? In this episode of "Papers With Backtest," we dive deep into the transformative world of algorithmic trading, focusing... more
Are you leveraging the full potential of alternative data in your algorithmic trading strategies? In this episode of Papers With Backtest: An Algorithmic Trading Journey, we dive deep into a groundbreaking research paper that uncovers how alternative... more
Can the past truly predict the future in the world of trading? In this riveting episode of "Papers With Backtest," we unravel the complexities of the research paper titled "Alpha Momentum in Country and Industry Equity Indexes" by Zaremba, Umutlu, a... more
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The male and female voice change too frequently and far too much sudden and useless “hmm” “ok…” which are distracting. Otherwise nice content.
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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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