Only problem is that the price series is one I generated using 100% random noise, it is completely unpredictable by any signal. Congratulations, you now know how to overfit a backtest. Welcome to quant research.
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Replying to @macrocephalopod
This is Shannon's Demon - you can get meaningfully positive ER by volatility pumping. Sure, it has issues (its basically short gamma) but what you found is "legit" and not an overfit.
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Replying to @macrocephalopod
The fact you chose 7 days is an overfit. However, the fact you see positive Sharpe at any horizon is because of Shannon's demon.
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Replying to @zzzrrrzzz12 @breakingthemark
This is further proof to me that the “shannon’s demon” crowd are actually insane.
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Shannon’s demon needs +ve arithmetic return but flat or negative geometric return. I generated this data myself so I know it has zero arithmetic return! The fact that you would argue with me about data *that I made up* is simply a confirmation that you are an idiot.
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This taught me more about shannon's demon so thanks for sharing! (
@FREAK0NAUT you may have already known this). Any simple examples in real life that come to mind? Here's an example I came up with where the simple avg return is positive but the actual geom is not.pic.twitter.com/TB0fTk89q0
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Replying to @M1tchRosenthal @zzzrrrzzz12 and
Please don’t become a Shannon’s demon person. The only real-world use is that it tells you you should rebalance your portfolio from time to time, and maybe tilt a bit toward risk parity (completely uncontroversial). Otherwise, completely uninteresting for practical purposes.
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Replying to @macrocephalopod @zzzrrrzzz12 and
Haha dont worry, just view it as another concept like anything else. So what do you think about trying to identify assets with positive arithmetic rets and negative geom rets, and then running a simple strat that takes advantage. Not worth it?
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Replying to @M1tchRosenthal @zzzrrrzzz12 and
Completely not worth it because you can never be sufficiently sure about the arithmetic and geometric returns you have identified (your confidence intervals will be huge) plus these things will be highly time varying anyway.
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And, I would hope this is obvious enough that it doesn’t need saying, but real world assets do not actually follow known distributions with a priori identifiable parameters.
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Replying to @macrocephalopod @zzzrrrzzz12 and
My PnL knows this all too well :'(
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