The Science of Financial Market Trading 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


The Science of Financial Market Trading

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Don K. Mak 作者
World Scientific Pub Co Inc
译者
2003-5-1 出版日期
260 页数
USD 114.00 价格
Hardcover
丛书系列
9789812382528 图书编码

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发表于2024-11-09


The Science of Financial Market Trading 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

The Science of Financial Market Trading 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

The Science of Financial Market Trading 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



The Science of Financial Market Trading 在线电子书 用户评价

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regard trending indicators as low pass filters, oscillator indicators as high pass filters. Not very useful in real trade from this view.

评分

regard trending indicators as low pass filters, oscillator indicators as high pass filters. Not very useful in real trade from this view.

评分

regard trending indicators as low pass filters, oscillator indicators as high pass filters. Not very useful in real trade from this view.

评分

regard trending indicators as low pass filters, oscillator indicators as high pass filters. Not very useful in real trade from this view.

评分

regard trending indicators as low pass filters, oscillator indicators as high pass filters. Not very useful in real trade from this view.

The Science of Financial Market Trading 在线电子书 著者简介


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The Science of Financial Market Trading 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

The Science of Financial Market Trading 在线电子书 图书描述

In this book, Dr Mak views the financial market from a scientific perspective. The book attempts to provide a realistic description of what the market is, and how future research should be developed. The market is a complex phenomenon, and can be forecasted only with errors -- if that particular market can be forecasted at all. The book reviews the scientific literatures on the financial market and describes mathematical procedures which demonstrate that some markets are non-random. How the markets are modeled -- phenomenologically and from first principle -- is explained.It discusses indicators, which are quite objective, rather than price patterns, which are rather subjective. Similarities between indicators in market trading and operators in mathematics are noted, and particularly, between oscillator indicators and derivatives in Calculus. It illustrates why some indicators, e.g., Stochastics, have limited usage. Several new indicators are designed and tested on theoretical waveforms to check their validity and applicability. The indicators have a minimal time lag, which is significant for trading purposes. Common market behaviors like divergences between price and momentum are explained. A skipped convolution technique is introduced to allow traders to pick up market movements at an earlier time. The market is treated as a nonlinear phenomenon. Forecasting of when the market is going to turn is emphasized.

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