
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 by Ausha. See ausha.co/privacy-policy for more information.
| Publishes | Weekly | Episodes | 57 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Business | |||

Have you ever wondered why companies with higher non-cash earnings seem to defy the odds, leading to lower stock returns? This perplexing phenomenon, known as the accruals anomaly, has baffled investors for nearly a decade. In this episode of "Papers... more
Are you ready to challenge the conventional wisdom of trading metrics? In this episode of the Papers With Backtest: An Algorithmic Trading Journey podcast, we dive deep into the groundbreaking 2010 research paper "Percent Accruals" by Hasala, Lundhol... more
Have you ever wondered how visual attention influences stock price movements and investor behavior? In this enlightening episode of Papers With Backtest: An Algorithmic Trading Journey, we dive deep into the groundbreaking research paper titled "Acce... more
Are you ready to elevate your algorithmic trading game with a strategy that consistently delivers results? In this episode of Papers With Backtest: An Algorithmic Trading Journey, we delve deep into the fascinating world of absolute strength momentum... 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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This podcast focuses on the intricacies of algorithmic trading, providing insights into research and strategies that enhance profitability through data analysis. Each episode covers a variety of topics, including backtesting methodologies, market performance metrics, and innovative trading techniques. Through discussions of both theoretical and practical applications, listeners can expect to gain valuable knowledge on trading psychology, risk management, and performance evaluation. The content is tailored for both aspiring and experienced quants looking to refine their trading approaches and stay informed about industry advancements.
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this podcast launched a year ago and published 57 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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