New Software Stock Market Tools SMT1:

discover the power of AI Stock Market forecast and trading simulation
- increase your trading profitability

2011-06-28

Two More Indicators Implemented in Technical Analyzer

Collected and analyzed data allow comparing different technical analysis indicators. However, according to statistical researches, the problem is that depending on time-frame, market conditions, industry specifics, type of stock or ETF, and other factors, some indicators might be best but other worst, and vice versa. In general, the question can be answered only for some average analysis. As example, according to average predictions success based on the statistics during 2010, the five of top winning indicators are: Relative Strength Index, Money Flow Index, Twiggs Money Flow, On Balance Volume, and Directional Movement System.

Technical analysts know that it is better to select the best indicators for a particular case. Evidently, it can be a time-consuming process. One of the solutions is to allow a computer program to decide which indicator should be trusted more and another less for particular market conditions and a specific shares using back-testing. Such computer program could compose the forecast with weights accordingly to predictive ability of each technical indicator. The example of such program is Technical Analyzer TA-1 (TA).

The recent researches showed that predictive abilities of some classical indicators can be improved by additional transformations. In short, if an indicator is trend-differentially coupled with price - it demonstrates better predictive abilities than a pure indicator. This idea has been used to improve the next release of TA software. The list of existing indicators in TA Technical Analysis module has been empowered by two new divergence-modified indicators - Relative Strength Index (RSI) and Moving Average Convergence/Divergence (MACD). These two indicators have been transformed to a slope of line and differentially-coupled with a price line slope. Indicators and price transformation to line slopes has been performed using Least Squares Linear Regression within a sliding 10-day period (moving window).

Try free fully-functional software during 30 days; it is available on Addaptron Software download page

2 comments:

  1. There are several techniques to apply this things.on the other hand everyone is taking their advices and are using this in many ways so that thy can gain success quickly.









    Brand Motherboards

    ReplyDelete
  2. Good news.This is a great post. I like this topic.This site has lots of advantage. I found many interesting things from this site. It helps me many away..So i want some information for sharing this side with some of my friend. Thanks
    Plantronics

    ReplyDelete