In my experience, a trader's risk taking matrix needs to include strategies that can extract profits when the market is rewarding reversionary outcomes and make money when the market is paying momentum traders. This is not easy to do technically and goes against much market
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folklore, bias and 'hero worship’.
Look at it this way - if the market under consideration, for the holding period concerned historically, presently and in your forecast demonstrates reversionary behaviour, then why fight that?
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Why deflect with sentences like "I only trade with the trend"? Equally and similarly, if the market under consideration, for the holding period concerned historically, presently and in your forecast demonstrates 'momentum' or trend behaviour
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[not that I can define either in advance but that is beside the point] then deploy momentum approaches. Why deflect with sentences like “...its too overbought / oversold” [again terms that I cannot define in 25 years of research].
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When a superstar trader says that I don't fight the markets, this is what they mean. Ignore should you wish, but this quantitative and cerebral flexibility is priceless in a PM.
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Here's one for the new players sitting there wondering what are the great secrets the big players know?
We have done a LOT of work over the past two decades - on and off - on runs versus reversals in price and other data.
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Some has been very fruitful and has helped us make more money or helped us opportunistically reduce the volatility of our returns. I feel that all this work qualifies me to say one slightly contradictory statement: I cannot define what a trend is until it has already happened!
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For the avoidance of doubt, we are almost 100,000 trades live so we are not just sitting there wringing our hands about definitional issues. But this is a matter of consequence. The greatest model that will ever be discovered is the one that a/ defines a ‘trend’
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I am writing a fair bit on AI/ML with awareness that this is of value to non AI/ML players.
There is quantitative and there is quantitative. My firm is fully quant/process driven. A separate team that I hired is pure artificial intelligence and machine learning -
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they were all "let go". I backed 5 world class practitioners and gave them free rein, three years and anything they needed.
We tried to analyse why they just couldn’t predict.
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1. They couldn’t accept or prove to their satisfaction that the future distribution of returns is guaranteed to change.
2. They wanted the algorithms to find their strategies rather than applying experience and domain knowledge with first principles research.
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