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Artwork for Papers With Backtest: An Algorithmic Trading Journey

Papers With Backtest: An Algorithmic Trading Journey

Papers With Backtest
Risk Management
Backtesting
Algorithmic Trading
Turn Of the Month Effect
Sector Momentum
Low Volatility Factor Effect
Relative Strength Strategy
Pairs Trading
Trend Following
Market Returns
Trading Strategies
Time Series Momentum
Faber's Research
Utilities Sector
Market Dynamics
Volatility
Stock Market
Investment Strategies
Discipline In Trading
Etfs

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.

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Artwork for Papers With Backtest: An Algorithmic Trading Journey

Latest Episodes

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Host

Ausha
Host of Papers With Backtest

Reviews

4.8 out of 5 stars from 5 ratings
  • “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 Podcasts
    4
    lscantab
    Hong Konga year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

The content is insightful and backed by research, providing valuable information for those interested in algorithmic trading.
The frequent change between male and female voices is distracting, despite the quality of the content.

Talking Points

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How Momentum Trading Strategies Adapt to Changing Conditions in Algorithmic Trading
Q: How do you reliably identify whether the market is in a UP or down end state?
The research paper does not provide all the answers, and it opens up a new area for exploration revealing that there's more to consider than just a simple approach to market classification.
The 60-40 Portfolio: Dynamic Hedging Strategies for Modern
Q: What is an important consideration when interpreting backtest results?
It is crucial to remain skeptical of backtest results due to the risk of overfitting, where a strategy may perform well on historical data but fail in live trading conditions.
The 60-40 Portfolio: Dynamic Hedging Strategies for Modern
Q: What was the average annual return of the dynamic strategy compared to the traditional approach?
The dynamic strategy achieved an average annual return of 9.44 percent, outperforming the traditional 60-40 portfolio which had an average return of 8.92 percent.
The 60-40 Portfolio: Dynamic Hedging Strategies for Modern
Q: How does the dynamic hedging strategy adjust allocations?
It shifts a small percentage of the portfolio from bonds to commodities based on the six-month rolling correlation between stocks and bonds, allowing for dynamic adjustments based on market conditions.
The 60-40 Portfolio: Dynamic Hedging Strategies for Modern
Q: What is the potential drawback of the traditional 60-40 portfolio in today's market?
The traditional 60-40 portfolio may not provide the reliable hedge it used to, especially as rising inflation can cause bonds to move in the same direction as stocks, amplifying losses rather than cushioning them.

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What is This Podcast about and what kind of topics does it cover?

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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1. Top Traders Unplugged
2. Chat With Traders
3. The Meb Faber Show - Better Investing
4. Exchanges
5. Dwarkesh Podcast

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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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