StockFusion Studio

StockFusion Studio 2.0 is the new generation of intelligent trading advisor based on unique Aura Forecast Engine (patents No 2003611241, 2003611242). Product is based on many years of studies in nonlinear stochastic dynamics and turbulence theory applications to the short term fluctuations of world markets performed in the Russian Academy of Science. It comprises the wide variety of market forecasting algorithms including seasonal ARIMA, Stepwise Best Regressions, Finite State Markov Automation offered as ready to use adaptive trading strategies with adjustable trading commission correction and threshold trade triggers.

Automated expert system instantly selects the best strategy for every market symbol by using elaborate nonparametric statistics such as Friedman coefficient, Hurst coefficient, fractal dimension, K-Sample and Kruskal-Wallis tests, Shannon probability, asymmetry, excess, correlation radius and many others. Applied together these tools allow to achieve unique accuracy in sharp trade signals ensured with true recurrent back testing over the whole trading history of each symbol.

Free unlimited data access to all world stock universe is the courtesy of integrated Yahoo finance downloader service. Additional data sources include direct connectivity to Equis MetaStock®, CSV text worksheets, TeleChart 2008® and QuotesPlus® data warehouses as well as own native SQL drivers to Microsoft Access® and Microsoft SQL Server®, IBM DB2® UDB, Oracle® 10i.

Stunning Vista style user interface offers unique charting abilities with over a hundredth of technical indicators available in multiple concurrent charting windows with arbitrary drill down scaling. Concise trading performance reports and trade history listings are ready exportable into MS Office format. Batch system scan offers one click automatic optimization of the whole user portfolio.

Free open API enables unlimited system extensibility both in data access and additional forecasting technologies which then are natively consumed in system kernel expert reasoning. SOAP, DCOM and C++ bindings give easy direct integration with virtually any enterprise infrastructure including Java, NET, Delphi, MS Office, online portals and interactive web services.

Lag correlation analysis

StockFusion Studio includes the powerful lag correlation matrix for discovery of symbol dependencies. It calculates cross correlation of selected symbol with other symbols over a range of time lags. If strong correlation exists, then correlated symbol can serve as a sort of predictor.

For example, we see that EKK for some reason correlates with EVO on lag 16. This means that if EVO has some price change, it is 42% likely that EKK will have very same price change in 16 trading days after that. Similar dependencies should exist intraday also.

Portfolio correlation matrix

Portfolio correlation matrix is the powerful tool for your portfolio optimization. It allows optimal portfolio balancing be excluding from it closely correlated symbols. If you have several closely correlated symbols in portfolio, they similarly behave on market changes and do not add any stability to your portfolio. You must try to keep in portfolio only poorly related symbols. This generally increases portfolio stability because it will increase probability of some symbols growing when the others are on down slump.


StockFusion Studio gives you powerful option of optimizing your portfolio through correlation matrix analysis, which will highlight optimal combination of symbols in your portfolio.

Adding new symbols to symbol lookup list

It may eventually happen that your favorite symbol is not present in our Yahoo symbol lookup database, for example, due to a lag in database update. In this case, it is very easy to add symbol to lookup list, happen it is valid symbol existing on Yahoo Finance.

Go to "Home & Basics > Symbol" and simply enter proper symbol into search box. Then hit "Search" button. Symbol will be permanently added to lookup list and show up on chart.

StockFusion Studio supports all world exchanges EOD data free of any subscription fees with its new Yahoo data provider. All registered customers are encouraged to download new version with a lot of other exciting extensions at
http://www.stockfusion.net/download/sfstudio.exe

Data are courtesy of Yahoo Finance
http://finance.yahoo.com/exchanges

Supported exchanges include:

American Stock Exchange
BATS Trading
Chicago Board of Trade
Chicago Mercantile Exchange
NASDAQ Stock Exchange
New York Board of Trade
New York Commodities Exchange
New York Mercantile Exchange
New York Stock Exchange
OTC Bulletin Board Market
Pink Sheets
Buenos Aires Stock Exchange
Vienna Stock Exchange
Australian Stock Exchange
Sao Paolo Stock Exchange
Toronto Stock Exchange
TSX Venture Exchange
Shanghai Stock Exchange
Shenzhen Stock Exchange
Copenhagen Stock Exchange
Paris Stock Exchange
Berlin Stock Exchange
Bremen Stock Exchange
Dusseldorf Stock Exchange
Frankfurt Stock Exchange
Hamburg Stock Exchange
Hanover Stock Exchange
Munich Stock Exchange
Stuttgart Stock Exchange
XETRA Stock Exchange
Hong Kong Stock Exchange
Bombay Stock Exchange
National Stock Exchange of India
Jakarta Stock Exchange
Tel Aviv Stock Exchange
Milan Stock Exchange
Korea Stock Exchange
KOSDAQ
Mexico Stock Exchange
Amsterdam Stock Exchange
New Zealand Stock Exchange
Oslo Stock Exchange
Singapore Stock Exchange
Barcelona Stock Exchange
Bilbao Stock Exchange
Madrid Fixed Income Market
Madrid SE C.A.T.S.
Madrid Stock Exchange
Stockholm Stock Exchange
Swiss Exchange
Taiwan OTC Exchange
Taiwan Stock Exchange
London Stock Exchange

The accuracy of trading performance back testing

Even beginner trader is well aware how important is testing of trading strategy on historical price data to estimate its efficiency. Everybody who tried to write own strategies in Metastock® or Trade Station® was able to watch performance charts of initial capital growth throughout the period of strategy execution and also everybody observed typical statements: “past performance is not a guarantee or a reliable indication of future results” which typically accompany performance charts. One can wonder why at all to pay so much attention to quantities without any exact reliability. The simple answer tells: because there is nothing better to measure trading prospects.

People with basic knowledge of mathematics would surely remember to mention probability theory associated with stock market modeling and high degree of error associated with market trend forecasting. This serves as a root to numerous strategies of risk management, which seek to achieve the balance between profits from aggressive trades and associated losses in case when the market direction estimate is incorrect. However, in many cases such estimates appear also wrong.

There is simple and evident proof for such a high volatility of market forecasts. Market itself is extremely complex system and to date there is no proven theory to explain it in any finite model allowing for easy trend calculation. The most risk estimates suppose that market behaves as some black box system with associated plain probability measures such as moving averages and variances approximating error limits. Nevertheless, there is quite generic evidence that these criteria appear inadequate in most market conditions.

This phenomenon is due to multiplication effect of market influences. Consider long pipeline transporting raw oil. Suppose every part of pipeline can suffer accident with some known probability. It may seem that the ultimate probability of pipeline fault as a whole will appear as a simple sum of associated probabilities for every fragment of a pipeline. However, it is not the case because the fault in every pipeline segment would cause the fault of the pipeline as a whole. Therefore, cumulative probability would appear not as a sum but as a product of associated probabilities. In mathematical terms, it will mean that there will be severely violated the conditions of so known Central Limit Theorem, which defines the statistical variance as a reliable measure of probability distribution associated with the value. It reveals that the most risk management strategies implemented worldwide are not reliable.

Only few mathematicians with good background in statistics can understand and rigidly prove this point. However, one should not be mathematician to observe its real world manifestation in abrupt huge losses of trading institutions and world market instabilities, which, by far, are not the results of errors of some evil minded individuals, as often told to wide public, but are due to fundamental stochastic laws which rule the modern market.

There exist special mathematical techniques devised to diminish the influences of cause multiplication factor on the accuracy of ultimate statistical estimates. Known as nonparametric statistics, they are well described in many statistical textbooks. The simplest of such measures is median point of distribution, which acts as a reliable nonparametric replacement of the average value. Another measures concern special statistical hypothesis testing techniques aimed to estimate reliability in cases where regular variance looses its sense as illustrated above.

Aura Forecast Engine (http://stockfusion.net) is the special forecasting platform, which makes use of nonparametric statistics and other nonlinear techniques such as Friedman coefficient, Hurst coefficient, fractal dimension, K-Sample and Kruskal-Wallis tests and Shannon probability to make automatic expert choice of best market forecasting strategy appropriate to any given set of historical data. It allows making back testing alternatives and measuring the risk in different terms against common trading performance standard. Even despite past profitability chart may look impressive in term of immediate strategy goal, it appears not reliable in terms of estimating future trading performance, which greatly dissolves common risk estimates based on it. Much less known nonparametric alternatives can serve as better reliability guides to investors seeking the better weighted revenue indicators.