GO AHEAD! CHERRY PICK YOUR TRADING STRATEGY ๐Ÿ’

The fundamental tenet of all system trading is that the strategy should work across a broad range of time ranges and a wide swath of products.

๐Ÿ“ˆ TRADER PSYCHOLOGY

GO AHEAD! CHERRY PICK YOUR TRADING STRATEGY ๐Ÿ’ 

The fundamental tenet of all system trading is that the strategy should work across a broad range of time ranges and a wide swath of products. For example, a "robust" algo in FX should be able to trade all the eight major currency pairs and make money for the past 10 years back. Otherwise, you are just cherry-picking and curve-fitting your data, and all the serious data scientists will "tsk tsk" in disapproval. ๐Ÿค”๐Ÿ“‰

Exactly wrong. The ONLY way to make money from algo trading is to cherry-pick away. ๐Ÿ’

First, letโ€™s agree that all trading systems fail 100% of the time. Itโ€™s just a matter of time before they start to bleed money. Indeed, very often the best-tested systems fail the worst, sometimes at an alarmingly rapid rate when they are put into production. If the laws of data science really applied, that would not be the case. The laws of data science, of course, do NOT apply at all, which is why the whole philosophical foundation for determining what is or is not a โ€œvalidโ€ trading system is incorrect. ๐Ÿ“Š๐Ÿ’ก

The statistical method implicitly assumes that it is observing the truth. When it comes to the physical world, that assumption is generally correct. The laws of gravity do not change, and the flip of a coin over a very large sample size will always end up to be a fifty-fifty bet. But the psychological world is not at all like the physical world. One of our most distinguishing characteristics as human beings is that we lie. ๐Ÿ˜‡โžก๏ธ๐Ÿ˜ˆ

Statisticians in social sciences see this in elections all the time. But elections are childโ€™s play compared to financial markets. Financial markets are the absolute apotheosis of human lying. Whether on a day trading time frame or an investment time frame, the function of the market is to sucker as many people as possible into making a false bet. ๐ŸŽญ๐Ÿ“‰

Thatโ€™s why data scientists constantly talk about โ€œnoisyโ€ data in the financial markets, which is just a polite way of saying that everybody lies and you canโ€™t draw any conclusion from past price action no matter how far back it goes in time. ๐Ÿ“‰๐Ÿ“ˆ

So whatโ€™s the answer for the retail trader who wants to use algos? Stop looking for Mr. Right and go with Mr. Right Now. The single best way to have confidence that the system will work is to see if itโ€™s been working in the past six months. The success of any trading system is really a function of it being in sync with the current market regime and whatever unique exploitable patterns you may have found in an individual instrument. ๐Ÿ•ต๏ธโ€โ™‚๏ธ๐Ÿ“ˆ

Thatโ€™s why the only practical way to make money with algo trading is to cherry-pick away. Design the system, test it in many pairs, and only trade the absolute best most recent results. And then do it again with another system and another system and another system, because the key to making money from algo trading is to run a portfolio of systems that are working and then remove those that start to fail. ๐Ÿ’ก๐Ÿ’ผ๐Ÿ“‰๐Ÿ“ˆ

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