(1) When a poster speaks of price action would it be possible for said poster to define what they mean? Are they talking about numbers, pictures (charts) or both numbers and pictures? Similarly, are they talking about tics or the complete assemblage of raw market data. I would suggest that the distinctions are rather important.
(2) Another small point, if you will. So far as I know the "evidence-based" moniker really got rolling about 15 or so years ago when it was introduced as a way to sift through the mounds of crap that fill the allopathic medical sphere. The Cochrane Collaboration was the prime mover and it has done well by itself. Criticisms of the methodology used by this group are of two main types: bean-counter bias and bean-counter ignorance. As pointed out by other posters, these shortcomings [generally not widely acknowledged by certain practitioners of certain aspects of the fine art of statistics] are not without consequence. These things being so, I reflexively cringe and whine when I hear that wretched term.
The summary view of these two bits [(1) and (2)]of mindless gibberish is this: If your data is suspect then your conclusions are meaningless. Unless you have some way of knowing that the data which you receive on your desktop (or wherever)accurately reflects what is going on in the market, you can't know what works or doesn't work. Period.
lj
(2) Another small point, if you will. So far as I know the "evidence-based" moniker really got rolling about 15 or so years ago when it was introduced as a way to sift through the mounds of crap that fill the allopathic medical sphere. The Cochrane Collaboration was the prime mover and it has done well by itself. Criticisms of the methodology used by this group are of two main types: bean-counter bias and bean-counter ignorance. As pointed out by other posters, these shortcomings [generally not widely acknowledged by certain practitioners of certain aspects of the fine art of statistics] are not without consequence. These things being so, I reflexively cringe and whine when I hear that wretched term.
The summary view of these two bits [(1) and (2)]of mindless gibberish is this: If your data is suspect then your conclusions are meaningless. Unless you have some way of knowing that the data which you receive on your desktop (or wherever)accurately reflects what is going on in the market, you can't know what works or doesn't work. Period.
lj
