SI
SI
discoversearch

We've detected that you're using an ad content blocking browser plug-in or feature. Ads provide a critical source of revenue to the continued operation of Silicon Investor.  We ask that you disable ad blocking while on Silicon Investor in the best interests of our community.  If you are not using an ad blocker but are still receiving this message, make sure your browser's tracking protection is set to the 'standard' level.
Strategies & Market Trends : MDA - Market Direction Analysis
SPY 692.76+0.5%Jan 26 4:00 PM EST

 Public ReplyPrvt ReplyMark as Last ReadFilePrevious 10Next 10PreviousNext  
To: eichler who wrote (61737)11/1/2000 8:01:18 PM
From: RocketMan  Read Replies (2) of 99985
 
OT Again, trying to keep this civil, I agree with most of what you wrote, except for the following:

IF EVEN RANDOM CHANCE TENDS TO TREND, then trendlines can be drawn and hence, trend-line breaks become buy and sell signals!

Technically, that is not correct. Random walks (i.e., cumulative counts of tosses of a fair coin), do not "trend". If you try to play trends in such a model, you would lose as often as you won, giving you a zero gain in the long term. In actuality, given investor psychology, one would probably lose in the long term.

But, as my previous post discussed, the best fit model is not a pure random walk, but a random walk with a deterministic (not determined, but deterministic) trend. It is the trend that you are trying to use to find buy/sell signals. Mathematically (in overly simplistic terms), Mt=Xt+Et, where Mt=market value at time t, Xt= trend term at time t, and Et=error term, which follows a random walk. If you can model Xt, you can make a fortune in the long term. And some have --- those few that are LTB&H, which is the only proven way to beat the system. As to traders, not many have been able to win in the long term, but I don't know if that is because Xt is in itself a complex random process (or another random walk, as ahhaha would claim), or if we don't have the patience to invest according to that trend. Some claim, for example, that there is a strong four-year presidential cycle based on government spending. Others claim that there is a cycle based on business capacities. I don't know, but whatever cycle there might be, it should be decipherable through a number of statistical (vice probabilistic) methods. PnF, macd, stochastics, etc -- if done properly -- might get at these, though I suspect they are not nearly as useful as some believe.
Report TOU ViolationShare This Post
 Public ReplyPrvt ReplyMark as Last ReadFilePrevious 10Next 10PreviousNext