According to wikipedia, 56 out 95 studies disagree with your assertion.
As for me, I'm a Buffetologist. I have no skin in the game. I just dispute factual errors like yours.
If you read the paper:
[FONT=Myriad Roman, Arial, Helvetica, Sans-serif;]Among a total of 95 modern studies, 56 studies find positive results regarding technical trading strategies, 20 studies obtain negative results, and 19 studies indicate mixed results. Despite the positive evidence on the profitability of technical trading strategies, most empirical studies are subject to various problems in their testing procedures, e.g. data snooping, ex post selection of trading rules or search technologies, and difficulties in estimation of risk and transaction costs. Future research must address these deficiencies in testing in order to provide conclusive evidence on the profitability of technical trading strategies.[/FONT]
[FONT=Myriad Roman, Arial, Helvetica, Sans-serif;]
As I said, "[/FONT]There are also recent interesting papers suggesting the possibility of extracting useful information from price data. But let us be clear,
no conclusive evidence has ever been provided that it actually does work. Period."
With that said, of course my statement was wrong. Studies have not shown there is no profitable way to make money, they have just failed to conclusively find that method. Entirely different things.
I suggest reading at least part of of the Griffioen paper.For example,
Hence, in short, after correcting for sufficient transaction costs, risk, data snooping and out-of-sample forecasting, we conclude that objective trend-following technical trading techniques applied to the AEX-index and to stocks listed in the AEX-index in the period 1983-2002 are not genuine superior, as suggested by their performances, to the buy-andhold benchmark. Only for transaction costs below 0.10% technical trading is statistically profitable, if the best strategy is selected by the Sharpe ratio criterion.
I don't know anyone who pays 0.1% taxes. If we ignore taxes, 0.1% is hard to achieve even for a floor trader, who has control over the bid/ask spread and pays the lowest possible transaction costs. Okay, I guess if you are a floor trader, wily, and trading your personal IRA while paying your firm's rates, you can get a bit of coin in the Amsterdam market, for now, for certain stocks. Opps, there's the currency exchange risk, that one gets blown out of the water. Yes, you can use the forex market to neutralize the risk, but then you've just added to your transaction costs, and don't ask me the IRA rules on that little strategy.
But rather more interesting is when you look at the numbers behind this. The upshot is that he finds strategies that work, but only for specific stocks. i.e. telecom stock XYZ has a successful strategy, but fertilizer maker ABC doesn't. The study itself gives us no information on why this may be. I find it very interesting. Search the whole world for securities, commodities, currencies, cut transaction costs to the bone, completely ignore taxes, and you can find narrow profits on some things. Some times.
And all of this is
far outside the realm you (and the OP) are talking about - a stock picker using TA either exclusively or as a tool - these studies are mining a hundred years of data across many different markets, testing hundreds to thousands of combinations of rules, and only finding
some stocks that yield at best very slight profits, if you ignore transaction costs. It's just not been shown to be a feasible technique for the average investor, and people claiming otherwise really need to present some evidence. Just buying a corrected dataset will set you back a hundred K or so. If Bodhi is running a supercomputer and accessing data subscribed to by his university, who knows, he may be on to something besides luck. This being JREF, I await the evidence, and don't put much stock in the claims, especially when you look at the literature.
edit: I find those 0.1% transaction fee requirement particularly galling. It should tell you how tiny the effects they are finding. Let's suppose for a moment that it's real, not just data mining. We know that markets shift, and that techniques that previous papers found that work no longer work when we look at new data. My hypothesis is that it is bull caca, but let's assume that the big money has implemented automated trading that arbitraged the real advantage away. So, in either case we have the risk of our strategy not working. How much added risk does it take to kill that 0.1%? The papers do not say. We do know that we have no way to detect that the strategy is not working until you've taken quite a beating. So, I contest the claims for profit after adjusting for this risk.