Quote from gnome:
Disagree. Most people will say "risk of loss" = "gambling". But Casinos are built on the premise (certainty) that the player overall must lose because the payout for winning is less the probability of winning... in the law of large numbers.
Let's use for example, roulette.... and assuming a perfectly random wheel... the law of large numbers says the house eventually wins all the money because the payout is 35:1 when the probability of winning says the payout should be 37 or 38:1. That 2% or so edge is ALWAYS in the house's favor. So any and every player is trying to "get lucky" against unfavorable odds.
Now lets compare a card counter in black jack... when the deck count is in his favor and he bets bigger because of it, he can put the odds in HIS favor by 2 or more percent. Proper trading is like card counting except the winning edge in trading is much greater than 2%.
If one strictly limits his definition of gambling to "risk of loss", then buying a coke from a vending machine must also be "gambling"... sometimes you don't get your drink due to a malfunction.
Your argument further corroborates my original premise.
Ralph vince once said, "In a negative expectation game, there is no money-management scheme that will make you a winner." I think that sums up your argument regarding games of chance that are not in your favor. And I don't disagree there.
If you are going to gamble successfully, then part of that process is understanding what games to play and which games to stay away from.
Understanding why negative expectation games are not favorable (like your roulette game ex) is part of the process of systematically understanding the rules of risk management applied towards any type of speculative gambling/gaming endeavor.
The original argument I made (way back on the first post), is that you should spend more time understanding trading in terms of a gambling system (which games should i play-- why do I have an edge in blackjack -- why is roulette a negative expecation game, etc..), rather than read the deluge of books on studying anecdotal chart patterns.
Not all -- but the far majority of the latter type of books, are extremely subjective in their approach, and a good waste of time.
I think anyone that's honestly been down this path can relate.
However, as stated earlier, at this point most seem to be quibbling over semantics. Hopefully, we can get over that hurdle so others might ascertain the true message of thread.