CONDITIONAL EXPECTATION. METHODOLOGY.

The complicated model based on the approach of processing a huge volume of data with the application of the principle of neuronal systems and algorithm of self-learning for the formulating mathematical expectation for the chosen financial tool.

The principle of mathematical expectation of currency rates, securities, stocks and indexes based on the analysis of a huge amount of data covering a long period of time with the help of technology of neuronal networks. The model developed by us finds the mathematical sequence of listing change and on a diagram visually displays the next values in the convenient way for the user. The product developed by trend4m.com uses Data Mining tools which have become very popular in recent years.

Convenient and easy to understand for the commercial user, the decision for forecasting the market value of the financial tools and currency pairs at Forex market, offered by trend4m, works by using the following methods:

• Step 1: Formulating the task of the forecast
• Step 2: Collection of data
• Step 3: Data preparation (filtration)
• Step 4: Choice of a model
• Step 4: Adjustment of a model and learning algorithm
• Step 5: Training of a model (automatic search of other model parameters)
• Step 6: Quality research of training
• Step 7: Evaluation of detected regularities
• Step 8: The result in terms of graphical display of the forecast

Learn more about IDA

• More details about Data Mining
• The tasks, solvable by IDA
• Learning algorithms
• Key Features & Benefits

• Methodology
• Key Features And Benefits Using Conditional Expectation
• How To Use Conditional Expectation for Currencies, Stocks, commodities, Indices
• How To Order Data Mining solution for Forex, Shares, Indices, Commodities
• Product table for FX, Equities, Futures and World Indexes