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The Cash In On Chaos course is a home study course which teaches Dr. Al Larson’s unique Chaos Market Theory. This theory explains market behavior in terms of Chaos Theory. This is the only true scientific course on chaos in markets. It can be used to develop your own trading systems.
Markets are provably chaotic. They go through periods of relative flat prices, then break sharply higher or lower, then return to relative calm. This is typical of chaotic systems, and can be explained in terms of chaos theory. The basics of chaos theory is taught, with no more math than addition, subtraction, and multiplication.
Traders can use Chaos Market Theory to stay out of the calms, and catch the chaotic moves.
“After this course, I’ll never look at markets the same again.”
HK-commodity trader with 25 years experience
But theory by itself is useless, unless it leads to practical results. This course reveals the Hannula Market Fractal, a pattern that exists in all freely traded markets. This fractal pattern can be used effectively to understand the development of a market move, and to forecast its extension in both time and price. This provides the opportunity to identify good trading opportunities.
This fractal is provided in the form of computer generated precision mylar overlays. These overlays can be placed on any paper or on screen chart to help identify the fractal pattern. The course takes about 6 hours to do. It comes on 3 video tapes, accompanied by a 185 page manual. Requires non-disclosure.
Cash In On Chaos Course Outline
1.What Chaos is
-system concept
-linear systems
-non-linear systems
2. Behavior of Non-linear Systems
-state space
-strange attractors
-strange repellors
-tests for data series
3. Limit Cycles
-linear and non-linear
-finding on charts
4. Frequency shifts
-frequency doubling
-fibrillation
-tracking with Zero Delay filter
5. Fractal Dimension
-Mandelbrot’s Fractal Geometry
-Fractal dimensions of Coastlines
-Polarized Fractal Efficiency
( a trading indicator)
6. Fractal Patterns
-algebraic
(only place you use math-
and that’s on a calculator)
-geometric
7. The Hannula Market Fractal
-Basic Shape
-Variations
-Structure
-Measures
-Projections
8. Trading Examples
-Entry Points
-Exit Points
-Hannula Hook
-SAR
9. Sources of Market Chaos
-Market AstroPhysics
-Sources of Non-linearity
-Examples
-Lunar Chaos Theory
10. Conclusion
-Summary
-Software demo
-Reading references
Knowing how chaotic systems behave gives you a trading edge. Knowing how markets form their fractal patterns sharpens that edge.
The fractal patterns taught in this course occur in all freely traded markets, on many time scales. Day traders will find fractals measured in hours. Swing traders will find them measured in days. Position traders will find them measured in months and years. After taking this course, the student is encouraged to find the last fifty fractals in their favorite market. They will find that fractals occur only in a small number of sizes, which fit the set of sizes provided in the precision fractal overlays. Then, knowing which size fractals a market forms, the trader can usually quickly find the size of the one being formed, and track its development. Certain points in the fractal present low risk trading opportunities. Finding them gives you a trading edge. One example of many is shown at the right. This was a day when I identified a key point in the fractal pattern and traded it well. I use this as an example because this trade was made using only the material taught in this course. There are, of course, many other examples.
This course has stood the test of time. Since it’s development more than a decade ago, it has been used by traders world-wide to gain a competitive trading edge. Graduates of this course are eligible to take the Fractal of Pi course, which further develops the fractal pattern, identifying more detail.
Tag: Cash In On Chaos – Hans Hannula Review. Cash In On Chaos – Hans Hannula download. Cash In On Chaos – Hans Hannula discount.
Trading foreign exchange, cryptocurrencies, and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance of any trading system or quantitative blueprint does not guarantee future results.<br><br><b>Asset Classification:</b>

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