The Sultonov Regression Model (SRM) - claiming to be a mathematical model of the market. - page 23
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We should still try to predict these outbursts, because they cannot be formed in an empty place, for sure there are precursors in BP, which we do not notice, as in the case of the tangent, there too a smooth sequence of 9 digits did not signal anything, but the radar clearly felt the wrong that happened.
By the way, we should analyse the reaction of the RMS to the arithmetic and geometric progressions.
Comment, to the figures above.
2:40 PM Down earlier due to Applied Materials' warning, KLA-Tencor (KLAC -0.2% ) has recouped its losses after stating at an industry conference it expects FQ4 (ended in June) revenue to be at the high end of the company's guidance range. Also, the chip equipment maker expects bookings to improve in FQ2 following a weak FQ1. KLAC announced a dividend hike earlier today.
And no progression, all banal.
A big misconception for many forecasters is to replace price with some model that is theoretically simpler and more predictive, and to use these model predictions to predict price even if that model has nothing to do with the price itself. Examples of such models are Yusuf's regression formula (18), trigonometric series (Fourier), polynomials, ARMA stationary series (no outliers). Once we have called price a "time series" or a "controlled process", we have entered the dead-end road of scientific price analysis, requiring that we give it some theoretical justification and a model, whether regression or neural network.
What about your work? h ttps://www.mql5.com/ru/code
Rubbish!
A big misconception for many forecasters is to replace price with some model that is theoretically simpler and more predictive, and to use these model predictions to predict price even if that model has nothing to do with the price itself. Examples of such models are Yusuf's regression formula (18), trigonometric series (Fourier), polynomials, ARMA stationary series (no outliers). Once we have called price a "time series" or a "controlled process", we have entered the dead-end road of scientific price analysis, requiring that we give it some theoretical justification and a model, be it regression or a neural network.
How do you view the fact that any trader, when making a decision to enter the market, voluntarily or involuntarily, carries out his own forecasting process.
What do you think about the fact that any trader making decision about entering the market makes forecasting process voluntarily or involuntarily, maybe at the level of subconsciousness known only to his brain. It is not inconceivable that trader himself is not completely aware of what he is predicting but his brain is clearly engaged in this process.
Conclusion suggests itself - any trader is not friendly with his brain ))
The conclusion is that any trader is not good with his brain ))
Any brain is not perfect! And we'll help him! A crutch for every brain!
Then we'll have to start a new topic.)
A crutch with a brain named Sultonov