Addaptron Software has been making steady progress with the development of the next generation of high quality software tools for investors/traders. Although there is still a lot of work ahead, Addaptron Software is getting ready to deliver a new software product, SMT-1 (Stock Market Tools, version 1.0). Its first (beta) release is scheduled for October-November 2018.
One of the achievements is all-in-one output forecast signal. This signal is combined from technical indicators, waves, and cycles data by Artificial Intelligence (AI) module. Also based on prediction accuracy, AI decides what time-frame signals to include. There are three types of output: (1) positive numbers for up trending symbols, (2) negative numbers for down trending ones, and (3) zero numbers for uncertain prediction (when AI is unable to provide a reliable prediction result).
In short, SMT-1 has the following benefits:
Its comprehensive AI forecast output is combined into a single list of ranked symbols. Such a simple concept enables most investors/traders to use the software easily.
Since AI is able to optimize many settings parameters, the number of user-defined parameters is minimized so that users can save time.
The software recommends entry/exit prices that allows users just to place a limit buy or limit sell order for the next market day.
The software has a back-test simulation functionality that allows users to try different trading strategies.
Except a calculated sell signal, the software has an ability to maximize trading profit by optimizing additional sell-trigger parameters.
The software includes an extra feature to analyze a current position, recommend the action, track buy-sell transactions, and measure trading performance.
The SMT-1 release will represent a leap forward in usability, functionality, performance and value for Addaptron Software product users. Visit our website addaptron.com at the end of 2018 to download a beta version of SMT-1 and take advantage of this huge upgrade and promotional deal.
Addaptron Software released a new Stock Market Forecast Tools SMFT-2. It is an integrated advanced system that is the next generation improved software based on older SMFT-1 version and a few recent development projects.
Most prediction modules provided with back-test calculation to estimate the accuracy of forecast within the recent performance periods. Additionally, the back-testing computations play an important role if more than one method is used. It allows estimating a 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 during initial 30-day period is free. 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.
Intraday performance chart (actual prices) for the same period:
The result of using the described algorithm:
The example is based on the following assumptions: 300 shares are used for trading, transaction fee is $10 so that 2 transactions (buy and sell) within day cost $20. Another example (symbol SSO) can be find here
Addaptron Software is pleased to announce the release of a new 2013.05 version of Stock Market Forecast Tools SMFT-1. It is an integrated system that includes three major programs: the most popular software program SMAP-3 for stock market cycles analysis and forecast, NNSTP – Neural Network Stock Trend Predictor, and FTA-2 – a modified version of InvAn-4 that is a comprehensive tool used by serious investors for years. The new version includes several improvements, such as, models optimization, ability to read more different input file formats, and optional feature to enable a free Downloader.
SMFT-1 consists of the tools that employ fundamental ratios rating model, technical analysis, chart pattern analysis, Elliott Wave theory, cycle analysis, candlesticks model, trend lines analysis, regression models, etc. The calculations are empowered by Neural Network. The implemented methods are statistically proven and widely used.
Most methods are provided with back-test calculation to estimate the accuracy of forecast within the recent performance period. The back-testing computations also may play an important role if more than one method is used. It allows estimating a weight of each method in a composed result; the weights that are proportional to the ability of the methods to predict the price.
The new group Trading Decision Support Systems is intended to be a resource for individual/institutional traders/investors and software developers in stock market area to share ideas, initiate and participate discussions, benefit from the collective intelligence, and to expand network. It will be primarily focused on such topics as:
Trading EOD and intraday different asset classes: trading tips, strategies, why, how, and results.
Trading systems: algorithms, methods, technologies, human factor, and statistics.
Software tools to support traders decisions: forecast methods, simulations, back-testing, and optimization.
Technical Analysis: indicators and chart patterns.
Fundamental Analysis: financial ratios and predictive models.
News: analysis and formalization by converting to measurable variables to automate systems with contributing news factor.
Numerical methods, data processing, artificial intelligence, and modeling in stock market areas.
Many things remain unchangeable in a trading world – supply-demand price balance, greed-fear driven mistakes, as well as, ability to think, make right decisions, and find the best solutions. When once winning approaches, strategies, or methods failed, many traders are prone to analyze the reasons why it happened. Then they create new approaches and develop new successful systems. If systems are automated, it is easy and fast to test them, collect and analyze back-testing and live statistics, and then make necessary improvements. That is why it is important to implement the best ideas in software applications that can be also used by others.
The computational technologies are changing. Systems empowered by Artificial Intelligence have self-learning abilities that enable them to adapt to market changes. One of the purposes of this group is to bring together the developers of decision support software and traders-users for mutual benefits: the developers get more ideas about their products’ improvements and make a better progress in developing software for traders, the users arise issues relating to their needs and wants. Hopefully everyone will find something useful participating in this group.
You are welcome to join this newly created networking group. Be the first to start a relevant discussion, promote your product or service. Please join Trading Decision Support Systems group on LinkedIn!
This blog is changing its profile starting from June 2011. Weekly S&P-500 index forecast will be unavailable anymore. The subjects of further blog posts will be focused mostly on stock market technical analysis and EOD trading algorithms issues.