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  • Format: ePub

About this book
This book provides you the powerful and brand new knowledge on predicting financial market that we have discovered in several years of our own research and development work. This book will help you to turn your intuition into the scientific prediction method. In the course of recognizing the price patterns in the chart of Forex and Stock market, you should be realized that it was your intuition working at the background for you. The geometric prediction devised in this book will show you the scientific way to predict the financial market using your intuition.
Many of us
…mehr

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  • Größe: 18.3MB
Produktbeschreibung
About this book

This book provides you the powerful and brand new knowledge on predicting financial market that we have discovered in several years of our own research and development work. This book will help you to turn your intuition into the scientific prediction method. In the course of recognizing the price patterns in the chart of Forex and Stock market, you should be realized that it was your intuition working at the background for you. The geometric prediction devised in this book will show you the scientific way to predict the financial market using your intuition.

Many of us made a mistake of viewing the financial market with deterministic cycle. Even though we knew that market would not show us such a simple prediction pattern, we never stop using the concept of deterministic cycle to predict the financial market, for example, using Fourier transform, and other similar techniques. Why is that so? The reason is simple. It is because no one presented an effective way of predicting stochastic cycle. Stochastic cycle is the true face of the financial market because many variables in the market are suppressing the predictable cycle with fixed time interval. So how we predict the stochastic cycle present in the financial market? The key to answer is the Fractal Pattern and Fractal Wave. The geometric prediction on Fractal Wave solves the puzzles of the stochastic cycle modelling problem together. In another words, your intuition, more precisely your capability to recognize geometric shape, is more powerful than any other technical indicators available in the market. Hence, the geometric prediction, which comes from your intuition, would maximize your ability to trade in the financial market.

In this book, Geometric prediction is described as the combined ability to recognize the geometric regularity and statistical regularity from the chart. We provide the examples of geometric regularity and statistical regularity. In addition, we will show you how these regularities are related to your intuition. The chart patterns covered in this book include support, resistance, Fibonacci Price pattern, Harmonic Pattern, Falling Wedge pattern, Rising Wedge pattern, and Gann Angles with probability. We use these chart patterns to detect geometric regularity. Then, we use the turning point probability as the mean of detecting statistical regularity. In our trading, we combine both to improve the trading performance.


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Autorenporträt
Young Ho Seo is an Engineer, Financial Trader, and Quantitative Developer, working on Trading Science and Investment Engineering since 2011. He is the creator of many technical indicators, price patterns and trading strategies used in the financial market. He is also teaching the trading practice on how to use the Support, Resistance, Trend line, Fibonacci Analysis, Harmonic Pattern, Elliott Wave Theory, Chart Patterns, and Probability for Forex and Stock Market. His works include developing scientific trading principle and mathematical algorithm in the work of Benjamin Graham, Everette S. Gardner, Benoit Mandelbrot, Ralph Nelson Elliott, Harold M. Gartley, Richard Shabacker, William Delbert Gann and Richard Dennis. You can find his dedicated works on www.algotrading-investment.com. His life mission is to connect financial traders and scientific community for better understanding of this world and crowd behaviour in the financial market. He wrote many books and articles, which are helpful for understanding the technology and application behind data mining, statistics, time series forecasting, fractal science, econometrics, and artificial intelligence in the financial market.