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Finance: Neural Networks Applications

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Neuro Fusion Start/Forecaster Excel Start | Developers Site

Applications of Neural Networks applies to both Neuro Fusion & Forecaster Excel

Finance

Stock Market Prediction- predict the future movement of the security using the historical data of that security.

Input data: Open, High, Low, Close, Volume, technical indicators, market indexes and prices of other securities.

Credit Worthiness - decide whether an applicant for a loan is a good or bad credit risk.
Input data: applicant's personal data, income, expenses, previous credit history, etc.

Credit Rating - assign credit ratings to companies or individuals based on their financial state.
Input data: current financial state indicators and past financial performance of a company or individual.

Bankruptcy prediction- classify a company as potential bankruptcy.
Input data: company characteristics and business ratios, such as working capital/total assets, retained earnings/total assets, earnings before interest and taxes/total assets, market value of equity/total debt, and sales/total assets.

Property Appraisal - evaluate real estate, automobiles, machinery and other property.
Input data: property parameters, environment conditions as well as appropriate demographic, ecological, industrial and other factors.

Fraud Detection- detect and automatically decline fraudulent insurance claims, client transactions, and taxes.
Input data: transaction parameters, applicant's information and other data of past incidents.

Price Forecasts - forecast prices of raw materials, commodities, and products.
Input data: previous price movements, economical indicators, market indexes.

Economic Indicator Forecasts - forecast economic indicators for the next week, month, and quarter.
Input data: social and economical indicators, time-series data of an indicator.

Neuro Fusion Start/Forecaster Excel Start | Developers Site

Applications of Neural Networks applies to both Neuro Fusion & Forecaster Excel



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