Quote from kut2k2:
Speaking strictly for myself, here's my agenda: I believe whatever untainted evidence indicates. Emphasis on untainted.
I was willing to believe the TA studies about the uselessness of classical TA until it was brought to my attention that most (all?) of the researchers have seriously screwed up their experimental design, a point that you seem eager to sweep under the rug.
This doesn't mean that classical TA is vindicated, but it does mean that the investigations you heavily relied on now need to be validated by those outside of academia who have real-world trade-system design experience.
You've committed the same logical fallacy as those who cite anecdotal cases or "I know somebody ..." in defense of classical TA when you say "peer reviewed!" whenever anybody questions those studies. Sorry, peer review is no guarantee of scientific validity; if it was, every scientific paper ever published would be an advancement in science, and I've read too many that were anything-but to believe that conclusion.
I don't have as many years experience designing systems as some here, but I do know that how much you trade effects how well you profit (or lose). The TA study researchers for the most part now appear to be utterly oblivious to this fact, thinking that all that matters are entry signals and exit signals.
Your unwillingness to address this concern makes you no less illogical than your caricature of your detractors.
This doesn't prove that classical TA is validated, but it does indicate that the jury is still out.
There's truth here because I've met about a dozen system designers that have tested many things to show a negative expectancy or that some method was not reliable.
However, upon closer examination which is often a battle to get them to allow you to closely examine their work, their exit strategy or trade management rules (the ones that even coded this aspect)...
Was either absurd or inappropriate in that it would prompt me to say...
Nobody trades like that.
In reality what I meant was that profitable traders don't trade like that and many losing traders do trade like that or similar like fashion.
Why these authors keep testing that simple canned suff out of the box (rcanfiel links to the stuff) that profitable traders don't use is a waste of their research time.
It also makes you
question the integrity of those that use such as evidence or proof of their
generalistic statements.
Earlier in this thread I brought up an issue that pretty much got danced around.
It's much easier to find a bunch of profitable traders with verifiable proof that they are profitable while using TA.
Next, get to know them and get permission to examine their TA methodology.
Some may be using an automation system, others using just an alert system, others using an discretionary rule based methodology while some are just doing pure intuition trading.
My point is that these are the traders that should be researched and analyzed to see what can be tested, coded or whatever.
I can guarantee these profitable traders are doing things much differently than those losing traders using that junk that's commonly being tested and published about.
I know for fact, as I myself worked as a researcher in an immunology research lab (internship requirement while in college)...
Crap that goes in will traverse into crap the comes out.
Simply, when researchers don't show the trade management of their testing results (I've emailed a few over the years have gotten run around the bush replies or just ignorant statements that trade management has no impact on the success of a entry signal)...
Thus, we have no choice but to question the integrity of the results.
For example, the thread starter himself is a system designer.
Ask him to publish in this thread the trade management of the system he was using that produce the poor trading results in the trade journal he had here at ET that linked to the trade results at another location that eventually stopped being publish (it was doing poorly).
Lets see how tight lipped he gets or runs around the bush with the reply.
Therefore, change the trade managment rules for each system designer/tester or publish author of statistical results and you will get completely different results for each.
Once again, ask rcanfiel what trade management rules he was using for those Emini Futures trades to produce the poor results...
Maybe some of us profitable traders can chime in and help the poor guy out with his trade management rules.
I just don't understand these types of testing methods and exclusion tactics to ensure the generalistic statement has a foundation to stand upon.
Reminds me of a thread here at ET out of several other similar like threads on different topics of something that's been tested...
The author (won't mention his name) of that thread proves that all contracts in and all contracts out at a
fixed profit target will yield more profits in comparison to those traders that scale out.
The problem with that theory is that profitable traders don't trade that way and many explicit examples were given about why profitabe traders that scale out will exceed the profits of profitable traders that don't scale out.
What happen?
Exclusion tactic and told that's a discussion elsewhere for another thread.
Mark