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Calculation method of stock average line system intelligently adapting to market

A calculation method and moving average technology, applied in the field of band discrimination of stock market price data, can solve problems such as lack of reliable basis, and achieve the effect of good investment basis and simple method

Inactive Publication Date: 2011-09-14
上海万臣信息科技发展有限公司
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Problems solved by technology

In the past, when to use which moving average can only be judged by experience, and there is no real basis

Method used

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  • Calculation method of stock average line system intelligently adapting to market
  • Calculation method of stock average line system intelligently adapting to market
  • Calculation method of stock average line system intelligently adapting to market

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings.

[0026] The weight of the traditional exponential smooth moving average (EXPMA) to the past daily is fixed. The formula of the traditional exponential smooth moving average (EXPMA) is as follows:

[0027] Among them, Y' represents the value of Y in the previous cycle.

[0028] The stock moving average system of the present invention adopts the adaptive curve equation to calculate, and introduces different weights and price fluctuation efficiencies to describe the influence of past daily prices on the stock price moving average system, and uses the adaptive curve and the golden fork of the price trend curve to guide the trading operation , the principle is that the price crossing the adaptive curve is a buy signal, and the price is crossing the adaptive curve is a sell signal. Starting from the exponential smoothing moving average, we consider the influence of small f...

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Abstract

The invention relates to the technical field of price data band judgment in a stock market, in particular to a calculation method of a stock average line system intelligently adapting to a market. The calculation method is characterized in that the stock average line is calculated by adopting a self-adaptive curvilinear equation, different weights and price fluctuation efficiency are introduced for describing the influence of past daily price on the stock average system, and the golden crossing and dead crossing of a self-adaptive curve and a price trend curve are used for guiding buying-selling operation. Compared with the prior art, the calculation method adopts the self-adaptive curve for calculating the stock average line and calculating optimized parameters, can intelligently adapt to the domestic stock market and timely judge buying-selling signals by the golden crossing and dead crossing with the price trend curve; and the calculation method is simple, convenient and feasible, thereby providing better investment references for investors.

Description

[technical field] [0001] The invention relates to the technical field of band discrimination of stock market price data, in particular to a calculation method of an intelligent market-adapting stock moving average system. [Background technique] [0002] In the moving average theory of technical analysis, we often find that it is necessary to adjust the parameters of the moving average theory according to the stage of the market in order to obtain better results. So we naturally thought of adding the market strategy to the moving average model system to obtain a more complex and comprehensive model, and optimize it based on historical data, so that the corresponding model parameters have excess returns when applied to each period. [0003] The traditional smoothed moving average (EXPMA) indicator has a fixed weight to the past daily, the formula is: In the formula, Y' represents the value of Y in the previous period. That is to say, it includes the information of every day...

Claims

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Application Information

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IPC IPC(8): G06Q40/00
Inventor 王猛何波
Owner 上海万臣信息科技发展有限公司
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