Concretum Research (@concretumr) 's Twitter Profile
Concretum Research

@concretumr

We swing and trade intraday US markets exploiting statistical edges. We investigate the effect of demand/supply imbalance across time-frames and asset-classes

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linkhttp://www.concretumgroup.com calendar_today25-08-2022 14:51:41

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🚀 New Free Tool for Quant Investing Research We’ve just launched a free web tool to help investors, researchers, and students explore the fascinating world of factor investing. Track the long-term performance of Momentum, Value, Volatility, and more—no coding or database

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When Alpha Can Mislead — And What to Look at Instead In finance, we often evaluate a strategy’s performance using its annualized alpha, the amount it outperforms (or underperforms) the market after adjusting for risk. But here's the catch: alpha is usually presented as a single

When Alpha Can Mislead — And What to Look at Instead

In finance, we often evaluate a strategy’s performance using its annualized alpha, the amount it outperforms (or underperforms) the market after adjusting for risk.

But here's the catch: alpha is usually presented as a single
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Here's a quick snapshot of my recent podcast with Johnatan Giammo. In just 20 minutes, I walk through the rationale, trading rules, and empirical results behind one of our most successful research papers with Andrea Barbon and Andrew Aziz . The interview is in Italian, but

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Understanding the dynamics of market volatility is a fundamental aspect of risk management and effective volatility trading. One well-known “stylized fact” in financial markets is that realized volatility tends to revert to its mean over time. But how can we visualize this

Understanding the dynamics of market volatility is a fundamental aspect of risk management and effective volatility trading. One well-known “stylized fact” in financial markets is that realized volatility tends to revert to its mean over time.

But how can we visualize this
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Edge or Randomness? When backtesting a trading strategy we usually rely on many statistical methods to infer if the backtested results deviate significantly from randomness. For some strategies, especially those that rely on short-term timing signals with most days in cash, it

Edge or Randomness?

When backtesting a trading strategy we usually rely on many statistical methods to infer if the backtested results deviate significantly from randomness. 

For some strategies, especially those that rely on short-term timing signals with most days in cash, it
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We’re glad to share that our paper “Beat the Market: An Effective Intraday Momentum Strategy for the S&P 500 ETF (SPY)”, co-authored with prof Barbon and Andrew Aziz , has been selected as the 4th best paper in the Radovan Vojtko - CEO of Quantpedia.com Awards 2025! A big thank you to the Quantpedia

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Glad to see our paper “Does Trend Following Still Work on Stocks?” featured on The Meb Faber Show during a recent interview with our co-author Cole Wilcox Links to the episode are in the attached post.