Papers With Backtest
Papers With Backtest: An Algorithmic Trading Journey
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: https://paperswithbacktest.com/Hosted on Ausha. See ausha.co/privacy-policy for more information.
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Papers With Backtest
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Podcast website
Latest episode
May 30, 2026
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Episodes
Exploring Seasonal Patterns: Treasury Returns, Equity Fluctuations, and Behavioral Insights in Trading Strategies 14.12.2024 11:00
In this episode of "Papers With Backtest: An Algorithmic Trading Journey," the hosts dive deep into the intriguing research paper titled "Opposing Seasonalities in Treasury vs. Equity Returns." This analysis reveals a compelling narrative about how U.S. Treasury bonds exhibit a notable annual cycle in returns, with fluctuations exceeding 80 basis points that are inversely correlated with equity re...
Exploring Time Series Momentum: A Deep Dive into Trading Strategies and Performance During Market Volatility 07.12.2024 13:03
In this episode of Papers With Backtest, we embark on an enlightening exploration of Time Series Momentum, a pivotal concept in algorithmic trading that posits an asset's historical performance can serve as a reliable indicator of its future price trajectory. Drawing insights from a seminal research paper published in the Journal of Financial Economics, we meticulously analyze a comprehensive data...
Does Trend Following Work on Stocks? Insights from Backtesting 24,000 Stocks and Key Trading Lessons Explored 30.11.2024 19:35
In this episode of "Papers With Backtest: An Algorithmic Trading Journey," we dive deep into the intriguing research paper titled "Does Trend Following Work on Stocks?" that challenges conventional wisdom in the trading community. As algorithmic trading enthusiasts, we often associate trend-following strategies with futures trading, but this episode uncovers the potential of applying these techniq...
The Low Volatility Factor Effect in Stocks and Its Impact on Investment Strategies 23.11.2024 8:44
In this episode of "Papers With Backtest: An Algorithmic Trading Journey," we dive deep into the compelling world of the low volatility factor effect in stocks, a topic that challenges the conventional high-risk, high-reward investing narrative. As seasoned traders and investors, we know that the landscape of algorithmic trading is ever-evolving, and understanding nuanced strategies can be the key...
The Power of Sentiment Indicators in Overnight Stock Trading Anomalies 16.11.2024 24:29
In this captivating episode of "Papers With Backtest: An Algorithmic Trading Journey," our hosts embark on an insightful exploration of a groundbreaking research paper that uncovers the fascinating relationship between market sentiment and the overnight anomaly in stock trading. This episode is a must-listen for traders and investors eager to enhance their strategies and uncover hidden opportuniti...
Exploring Pairs Trading: Historical Correlations and Market Efficiency Insights for Today's Algorithmic Traders 09.11.2024 11:23
In this episode of "Papers With Backtest: An Algorithmic Trading Journey," we delve deep into the fascinating world of pairs trading, a classic strategy that has captured the interest of traders and academics alike. Join our hosts as they explore a landmark study by Gattev, Goetzmann, and Ruenhorst, which underlines the academic significance and potential profitability of this trading approach. Pa...
Exploring 'Betting Against Beta': Rethinking Risk, Reward, and Market Inefficiencies in Trading Strategies 25.10.2024 13:09
In this episode of Papers With Backtest, we take a deep dive into the groundbreaking research paper "Betting Against Beta" by Andrea Frazzini and Lassa Haida-Peterson, challenging traditional notions of risk and reward in the world of algorithmic trading. Often, investors have been led to believe that higher risk inherently leads to higher returns. However, our hosts unravel this misconception by...
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