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 | 82 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Category | Business | ||||
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Latest Episodes
How does a company's financial health shape the profitability of trading strategies? In the latest episode of Papers With Backtest: An Algorithmic Trading Journey, we delve deep into the intricate relationship between financial distress and trading ... more
Are you ready to unlock the secrets of market anomalies and elevate your algorithmic trading strategies? Join hosts Mark Mirchandani and Leslie Kendricks in this enlightening episode of Papers With Backtest: An Algorithmic Trading Journey, where the... more
Can machine learning truly revolutionize algorithmic trading, or are we simply chasing shadows in the data? Join us in this thought-provoking episode of Papers With Backtest as we delve deep into the groundbreaking research paper "Machine Learning ve... more
Have you ever wondered how a company's asset growth could significantly impact its stock performance? In this episode of the Papers With Backtest: An Algorithmic Trading Journey podcast, we dive deep into the groundbreaking research paper "The Asset... 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 Kong2 years ago
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Apple Podcasts | #173 |  Denmark/Business |
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Frequently Asked Questions About This Podcast
What is This Podcast about and what kind of topics does it cover?
This show focuses on the practical side of algorithmic trading, with episodes unpacking backtests, data quality, and research that can translate into tradable ideas. Listeners get concrete examples—from alpha signals and backtesting pitfalls to robustness checks and implementation challenges—alongside discussions of how to apply academic findings to real-world portfolios. A notable strength is the emphasis on discipline, reproducibility, and guardrails when turning signals into strategies, making it valuable for quants, data scientists, and traders aiming to sharpen their edge.
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this podcast launched 2 years ago and published 82 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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