Stock Forecast Methods

Stock Market Trading and Investing

Transforming Moving Average From Lagging To Leading Indicator

Traditionally in technical analysis, chartists consider moving average indicators as lagging ones. In other words, these indicators are able only to confirm long-term trends that already started but not to predict in advance. The difference between simple moving average (SMA) and exponential moving average (EMA) is not so big in that respect although exponential one assigns more weights to the latest points and, therefore, EMA is more sensitive to the latest changes.

A more “predictive” signal can provide a combination of EMA with crossing price curve. Normally, it is used as an affirmation of increase in momentum but, still, the disadvantage of using this combination is that a significant move may have already happened. Therefore, if the trend is not going to last long, traders risk to enter a position too late.

Recent research showed that the predictive abilities of some well-known indicators can be improved by an additional transformation. Briefly, if an indicator is trend-differentially coupled with price – it demonstrates better predictive abilities than a simple indicator. As experiments showed – a similar improvement occurred when EMA indicator has been transformed to a slope of line and differentially-coupled with a price line slope.

The image below shows EMA divergence indicator forecast by Technical Analyzer TA-1. This interface represents one of three major modules of TA-1. The module provides with more than 50 popular technical indicators. Except chart analysis, indicators can be used as input for Neural Network to build 10-day price forecast. There is an option to compose forecast from all indicators – each indicator’s forecast is added with the weight proportionally to the current ability of the indicator to predict prices.

Transforming Moving Average From Lagging To Leading Indicator

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August 6, 2011 Posted by | Stock Market Forecast, Stock Market Software | , , , , , | Leave a comment

Forecasting Helps to Adjust Stock Investing Plan

Forecasting and planning are powerful things in stock investing. If an investor create a plan that is based on reliable forecasts, the plan has better chances to reach projected goals. Forecasting methods can be classified as either subjective (judgmental) or objective (extrapolative). Objective methods are regression analysis, time series methods, different moving averages, and other statistical methods.

Some forecasting methods use the correlation between causing factors and output forecasting parameter. For example, quarterly financial reports can help to predict the stock price, i.e., identify how the stock market would react to publishing these reports. The historical data themselves can be causing factors for future movements. Some methods employ this idea together with statistical methods, for example, cycle analysis and neural network.

Investors should try to have all possible information about the stock and its environment before starting investing. It would be easier to have a good investing plan if an investor could predict the acceptable outcomes. As a rule, we cannot change the environment to be favorable for us. However, we can create a good plan to reach our goal. In addition, it is better to have “plan B” or even a few plans in case if the future will not look like it was predicted.

© Alex Shmatov. Published with permission of the copyright owner. Further reproduction strictly prohibited without permission.

March 28, 2010 Posted by | Stock Market Forecast | , , , , , , , , , | Leave a comment