Stephen Tashi said:
That's correct. What's new is the speed at which algorithms can be executed and the amount of data they can take as inputs.
I'll get back to the other stuff later (I'd still like to know what, if anything, you were really getting at), but I'll put in my agreement with
@NTL2009:
Succinctly:
It is a myth that managed funds do better than index funds. (this should be added to the financial knowledge thread). They don't.
In fact, almost all of them do worse.
http://www.marketwatch.com/story/wh...-funds-beat-the-sp-than-we-thought-2017-04-24
The performance of actively managed funds is so bad that just by luck, you would expect half of them to beat the S&P and 5% basically means they are all bad. So you can essentially say that all managed funds are a bad idea because the only way for them to beat the S&P is by luck.
Applying this fact to the current discussion gives us:
For example, "disciplined" investors who take a long term approach may apply the same series of calculations to the financial statements of each company they analyze. How long does it take a human being to do such work? A human being can probably be competitive with a computer if the scope of the investigation covers only the amount of material that human would examine.
Per the above: no investor, disciplined or otherwise, professional or amateur, human or computer should be doing
any work to analyze individual companies when it comes to setting up long-term retirement investment funds.
But if we extend the scope of the investigation beyond that limit by using algorithms designed by humans on the theme of "These are things I would do if I only had the time and resources" then computer programs have the advantage.
Certainly: but anything times zero is still zero. Since the above stats show us conclusively that managed funds don't beat the market, we flat-out shouldn't be using them -- human or computer managed.
(For example, it is claimed that some HFT algorithms can consider breaking news stores - i.e. they analyze text data. So is it a stretch to think that a program trying to do long-term investing could analyze articles written about a company ?)
I think it is entirely possible that HFT trading, news analysis and psychology may combine to beat human trends in investing. The problem is that since HFT
already dominates trading, the ability of humans to change market values with impulse-buys/sells is already been reduced.
And in any case, as someone pointed out above, this has nothing to do with long-term investing. They are fundamentally different games that do not impact each other. Indeed, day-trading, unlike investing
is zero-sum. It is theoretically required to have both winners and losers, whereas for investing it is theoretically possible to have only winners.
Human long term investors aren't supposed to "buy and hold" blindly.
Yes they are. That's what "buy and hold" means. Since nobody can beat the market in the long term except by luck, nobody should be trying.
The only significant change people should be making is adjusting to life change and aging:
-Sell a house, buy stock with the the proceeds.
-Get older, reduce your risk level.
I suppose it's possible that increasing the amount of data used to make a prediction about a stock will not increase the reliability of the prediction. That would keep the world of long term investing safe from the invasion of computers.
This goes back to our earlier conversation: you still have not outlined exactly what that would look like/how it would manifest. I'm contending that because day-trading/HFT and investing are fundamentally different games, they do not impact each other in any meaningful way. I think you are operaing on a misconception about how the markets work, but I haven't figured out what yet -- perhaps the zero sum game misconception?