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Neural Network

SprinN Standard eng 3.0

SprinN Standard eng 3.0: SprinN, Capital Markets Predictions with Neural Networks SprinN, Capital Markets Predictions with Neural Networks. SprinN, the best prediction tool based on Artificial Intelligence techniques (Artificial Neural Networks), gives you accurate open, hold and close recommendations for your investments in the Capital Markets. SprinN allows you to select the risk of your operations, commissions, influence of technical analysis indicators, etc., and generates detailed reports and graphics.






SprinN Lite eng 3.0: SprinN, Capital Markets Predictions with Neural Networks
SprinN Lite eng 3.0

SprinN, Capital Markets Predictions with Neural Networks. SprinN, the best prediction tool based on Artificial Intelligence techniques (Artificial Neural Networks), gives you accurate open, hold and close recommendations for your investments in the Capital Markets. SprinN allows you to select the risk of your operations, commissions, influence of technical analysis indicators, etc., and generates detailed reports and graphics.

investing, capital markets, financing, finance, stocks, financial calculator, prediction, trading, financial planning, artificial intelligence, neural networks





NeuroSolutions for MATLAB 2.00: Flexible Neural Network Toolbox for MATLAB and Simulink
NeuroSolutions for MATLAB 2.00

The NeuroSolutions for MATLAB neural network toolbox is a valuable addition to MATLAB`s technical computing capabilities allowing users to leverage the power of NeuroSolutions (www.neurosolutions.com) inside MATLAB and Simulink. The toolbox features 15 neural models, 5 learning algorithms and a host of useful utilities integrated in an easy-to-use interface, which requires “next to no knowledge” of neural networks to begin using the product.

network, modeling, forecasting, perceptron, artificial, backpropagation, neurodimension, visual, intelligence, matlab, regression, genetic, excel



TradingSolutions 4.0: Neural Network Based Analysis, Trading and Investment Software
TradingSolutions 4.0

Financial analysis and investment software that combines traditional technical analysis with state-of-the-art artificial intelligence technologies. Use any combination of financial indicators in conjunction with advanced neural networks and genetic algorithms to create remarkably effective end-of-day or real-time trading models for stocks, futures and forex. Included is a free Solution Service, which includes 10 neural network models.

network, commodities, options, stocks, technical, artificial, algorithm, investing, intelligence, trade, investment, genetic, analysis



GoldenGem 2.0: Goldengem is one of the best  neural net stock market programs.
GoldenGem 2.0

Goldengem is a general purpose Neural Network. It is a simple no-nonsense program, containing a sophisticated mathematical calculation, which is being successfully used by an increasing number of traders. Its StockDownloader downloads free data. Choose tickers, in capitals, separated by commas that may influence the price you wish to analyze. Load a set of related tickers from the internet. Select number of days to look ahead.

net prediction, neural net, network prediction, predict stock, neural network, network predict, net predict



TraderXL Pro 6.1.16: All-in-one investment solution for Microsoft Excel
TraderXL Pro 6.1.16

All-in-one investment solution for Microsoft Excel: 161 technical analysis functions, historical data downloads, real-time quotes, neural network-based prediction and classification. You can automatically build charts, create macros. It downloads free historical end-of-day stocks, indexes, mutual funds and futures, delayed and real time quotes for stocks, options, indexes and other securities for more than 50 markets worldwide.

spreadsheets, investment portfolio, options, analyzerxl, stock quotes, ticker, stock chart, nasdaq, historical quotes, real time, backtesting, add in, mutual fund



Nuclass7 7.1: Freeware for fast development,application of neural and conventional classifiers
Nuclass7 7.1

networks including the multilayer perceptron (MLP), functional link network, piecewise linear network, and nearest neighbor classifier. The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create a nested sequence of different size networks, to facilitate structural risk minimization. C source code for applying trained networks is provided, so users can use networks in their own applications. User-supplied

multilayer perceptron, fast training, classification, validation, neural network, nearest neighbor classifier


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