SMFT-2 is a New Stock Market Prediction Software

SMFT-2 (Stock Market Forecast Tools) is a new integrated system by Addaptron Software. It is the next generation of the software that intended to replace older SMFT-1 version. As a result of a few recent development projects, the new version is based on new advanced methods, provides more accurate prediction, and is easier to use.

Prediction modules is built with back-test calculation to estimate the accuracy of forecast within the recent performance periods. Additionally, the back-testing computations is important if more than one method is used. It allows estimating the weight of each method in a composed result; the weights that are proportional to the ability of the methods to predict the price.

SMFT-2 currently includes five major modules:

TA Predictor - prediction for day or week period based on Technical Analysis, pattern recognition and Neural Networks (generates composite result). Back-analysis models optimization and batch calculation for comparative analysis included.

Waves - Elliott Wave model: back-test optimization, up to 10 waves forecast.

Cycles - prediction based on cycle analysis.

Week day - search for maximum performance using price behavior depending on week day. It allows discovering the best entry/exit days of week; batch calculation included.

Month day - search for maximum performance using price behavior depending on month day. It allows discovering the best entry/exit days of month; batch calculation included.

The implemented methods are statistically proven and widely used. All modules share the same EOD (end-of-day) input data. The software is provided with a free Downloader that allows downloading EOD historical quotes files from the Internet for free. A fully-functional software SMFT-2 is free during initial 30-day period. The software and associated documentation are delivered via download links over the Internet. For technical requirements, installation instruction, and download link, visit SMFT-2 download page.

About Trading Decision Support System TraDeSS-1

Trading Decision Support System TraDeSS-1 is for institutional traders and investors who deal with ETFs, commodities, and big-volume equities. It is a comprehensive and effective software to help finding the best trading opportunities, maximizing profitability using several predictive models with back-testing features, and optimizing algorithms by running simulations.

TraDeSS-1 is equipped with an advanced forecasting state-of-the-art system. The predicting can be done using nine forecast methods of different nature. Only one method, a combination of a few ones, or all together can be used. Each method is provided with back-test calculation to estimate the accuracy of forecast within the recent performance period. The back-testing computations play an important role if more than one method is selected. It allows assigning a weight to each method in a composed result; the weights are proportional to the ability of the methods to predict the price.

The comparative analysis of simulations shows that systems based on predicted entry-exit signals generate a better profit in around 70% cases than random-entry trading systems. As well as, it should be noted that a multi-model forecast provides a significant improvement over the best individual forecast. It can be explained by the existence of many different independent factors contributing to the error in each forecast which is normally distributed around an actual value.

Since sometimes predictions can fail, to preserve a principal amount in a volatile market, the software enables simulating different risk management approaches. Depending on the character of particular trading assets and the current market conditions some ideas can work better than others. To optimize the strategy in a particular case, the software enables testing different algorithm configurations and finding automatically the best ones. It is especially important for exit points to minimize losses (and ultimately maximize an overall profit). All optimizations can be done automatically by scanning 64 possible logical combinations and adjusting numerical parameters.

TraDeSS-1 has a functionality that allows estimating a hypothetical maximum possible profit in case of 100% accurate forecast. Although an actual forecast cannot be so accurate, this feature combined with comparative analysis enables discovering the best trading opportunities among different types of financial instruments. Calculating maximum theoretical return allows finding optimal buy and sell signals. Also it helps estimating a reasonable amount of initial investment at given transaction fee. Users can choose to re-invest each time a new or the same amount and see the difference in results.

The software has forward testing and assets management features. It allows monitoring the simulated or actual completed transactions, reflecting total trading activity, and evaluating the success of trading in overall. It enables working with many separate data files that is convenient in case of managing multiple assets and keeping the archives of older activities.

TraDeSS-1 has also a few independent tools, such as, technical indicators predictor, cycle analysis forecast, Neural Network (NN) forecast, fundamental 3-month rating model for equities, etc. The detailed description is presented in User's Manual (accessible from menu Help after downloading and installing the software). The software is available via the registration (no payment data collected and no obligation to buy).

A fully-functional software during initial 30-day period is free. To continue using the software after 30 days, the subscription is required (subscription link is available from the software interface). Technical support and updates are included. Annual lease and perpetual license are available. Paid on-site training (how to use the software) can be provided.

How To Use Chart Patterns To Predict Trend

There are many classical well-know chart patterns that found a long time ago and now considered as "typical" ones. Also there are many other patterns that can signal a particular, bullish or bear trend, but not described yet. Known or unknown patterns that are persistent can be repeatable in the future; therefore, they can be used to predict the future price movement.

To ease the job to memorize all patterns and analyze a huge amount of charts, many chartists use different software tools - pattern recognition systems. These tools normally perform statistical classification of patterns assuming that the patterns are generated by a probabilistic system (the stock market is a semi-probabilistic system).

Technical Analyzer TA-1 (TA) by Addaptron Software has a feature to predict a future trend of stock, ETF, or index prices using pattern similarity. The prediction period can be chosen within a range 1..60 trading days; the period of historical data that used for matching recommended in 4..16 times longer than prediction period. TA searches for the best matches by scanning all historical data from the internal database.

TA ranks all possible matches on the basis of maximum correlation and minimum deviation within given historical period. TA performs pattern matching using open, high, low, and close prices and volume data. When scanning is completed, depending on degree of similarity, it ranks all possible matches within given historical period and then combine them. TA composes forecast using several best matched patterns (top ranked). Since the statistical regularities of the patterns help to create more stable picture, TA allows adding up many top-rated patterns. The composite result is built as a weighted average with weights proportionally pattern ranks.

To try free fully-functional version of TA, visit Addaptron Software download page to download and install it.

Market Crowd Factor: Why Trend Might Not Be Your Friend Sometimes

“An advertisement said, 'Send me $1 and I will let you know how it was easy for me to become a millionaire.'
A man who wants to be a millionaire sent $1 in an envelop.
After a while he received a reply: 'I became a millionaire by asking to send me $1'
The next day, the advertisement said, 'Send me $1 and I will let you know how it was easy for me to become a billionaire.'”
- Author unknown

An advanced and robust principle, idea, or system might help to win in the stock market. But what if it is used by almost all market participants? Would everyone be a winner? Read to find out about cases when stock investing can be successful or risky.

Although a successful stock market investing or trading is complicated, in general, it consists of three major parts: analyzing data and possible future, making decision, and executing this decision. The same applies in case of automated trading - just these parts incorporated in the system and work in the same way. If we abstract from non-controllable external factors, we could clearly see that the quality of our decision and consequently the outcome depend on input data and their processing to make an optimal decision. What input data are the best and how to convert them into a meaningful information and finally into a right action?

Quality vs. quantity. First of all, apparently, too many data, especially, that are non-relevant to the searching result, might make the solution too noisy and with error ranges that exceed the accuracy of a certain solution. That is why most market participants use a limited but sufficient enough the set of input data in order to transform it further into a necessary information with a minimal uncertainty. The second important task is a processing with the highest quality of extracting worthy information. A good processing enables enriching the information while trying to avoid losing any value in the translation process.

Sometimes trend might be your friend. Is it possible to find and use the best universal principles and systems in stock trading? The second question - is it possible to make money using methods, systems, or ideas that are employed by many? It seems collective actions can be beneficial. For instance, if there is a uptrend - many would join the movement and add more pushing power up. Although a crowd behavior could be useful, sometimes, it can lead to unexpected results.

What if everyone does the same. Typical example - many thought that February could be a good month to invest because institutional funds' managers could increase their portfolios in March. Many converted cash into stocks in February pushing market up. Then when buying power exhausted and funds were unable to support this trend - the stock market collapsed. Another examples, several years ago October was a low month but since too many talked about this annual cycle, it is not the case anymore - everybody buys in October and pushes the market higher.

One more danger of crowd. Some classical books warn investors - when everyone is very bullish in the stock market - this is time when the market can crush because there is no one left who can invest more money to support the uptrend. It was in case of a hi-tech bubble in 2000. What factors influence our investing or trading decision? The opinion of most market participants? But their opinions link to their actions - that is why a trend might be built on sands and it can let you down anytime.

The benefit of using a new or rare approach. Let's imagine the situation - a group of people read the same book, for example, "How to Find Mushrooms" and all go to one forest. Evidently, then there would be more chances to find mushrooms in the places that are not recommended in this book. The conclusion - stock trading can be successful also in case of using something new or something that is used by limited number of traders.

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