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Gold/Mining/Energy : Gold Price Monitor -- Ignore unavailable to you. Want to Upgrade?

To: paul ross who wrote (83008)	3/7/2002 8:35:52 PM
From: Graystone	Read Replies (2) \| Respond to of 116818

The Price of Gold or Guacamole The information contained in those other threads is more accessible so it would appear that there is more of it, in fact, this thread contains a vast amount of encrypted information and specific details available nowhere else. One of the reasons that the GPM Thread does well is the abundance of information without the clutter of exact equities and that spirit of not discussing specific stocks is found in many comments that are directly non-gold related. We could be more specific and that would make the conversation similar to other threads on SI. ie <<Meanwhile, the six-month diffusion index, which measures the number of components that are rising, has increased above 50 percent for the first time in 21 months.>> ref link: conference-board.org The six-month diffusion index is not as helpful as it appears.

To: paul ross who wrote (83008)	3/8/2002 4:25:01 AM
From: maceng2	Read Replies (4) \| Respond to of 116818

Do I detect a general level of tetchy testiness amongst some posters here on the GPM thread?? This would indicate to me that the price of gold is going down, and the participants had not sold at the recent highs. Predicting future events in a chaotic system such as a stock market is not a skill everyone possesses. For example... review the following abstract... ======================================================= Can People Predict Chaotic Sequences? Abstract Previous studies suggesting that people predict chaotic sequences better than chance have not discriminated between sensitivity to nonlinear determinism and facilitation using autocorrelation. Since prediction accuracy declines with increases in the look-ahead window in both cases, a decline in prediction accuracy does not imply chaos sensitivity. To overcome this problem, phase-randomized surrogate time series are used as a control. Such series have the same linear properties as the original chaotic sequence but contain no nonlinear determinism, i.e. chaos. In the experimental task, using a chaotic Hénon attractor, participants viewed the previous eight days temperatures and then predicted temperatures for the next four days, over 120 trials. The control group experienced a sample from a corresponding phase-randomized surrogate series. Both time series were linearly transformed to provide a realistic temperature range. A transformation of the correlation between observed and predicted values decreased over days for the chaotic time series, but remained constant and high for the surrogate series. The interaction between the days and series factors was statistically significant, suggesting that people are sensitive to chaos, even when the autocorrelation functions and power spectra of the control and experimental series are identical. Implications for the psychological assessment of individual differences in human prediction are discussed. Keywords chaos, prediction, nonlinearity, crosscorrelation, decision-making Article ID: 340304 ============================================================ You can download the whole article here (1.4 Meg pdf) Can People Predict Chaotic Sequences? Nonlinear Dynamics, Psychology, and Life Sciences 6 (1): 37-54, January 2002 kluweronline.com Registration and purchase required. I have not bought the article, as apparently I don't need to read it. Hopefully, reading the article will help those not so fortunate in predicting future stock prices. I suggest a full review of procedures for buying and selling stock is also completed. Please do not post this link everywhere. It is for readers of the GPM only who not yet learned how to sell at the highs. If every Tom, Dick, and Harry catches on, it will just make stock price prediction a lot harder for everyone. -g-