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Neural Networks

Neural Networks Explained

Computers can solve many complex problems, but they don’t have the reasoning ability to match the human brain’s neural activity to find hidden patterns and non-linear relationships in market prices. TradeShark’s sophisticated technology uses a neural network learning process to turn data into predictive behavior that can forecast prices with a high degree of accuracy. Applying neural networks to global markets gives TradeShark users a competitive advantage.
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Neural Networks Explained

Video
Computers can solve many complex problems, but they don’t have the reasoning ability to match the human brain’s neural activity to find hidden patterns and non-linear relationships in market prices....
Computers can solve many complex problems, but they don’t have the reasoning ability to match the human brain’s neural activity to find hidden patterns and non-linear relationships in market prices. TradeShark’s sophisticated technology uses a neural network learning process to turn data into predictive behavior that can forecast prices with a high degree of accuracy. Applying neural networks to global markets gives TradeShark users a competitive advantage.

Dr. Arcuri Explains Neural Networks

Video
A computer cannot replicate the human brain completely, but artificial intelligence techniques can be used to simulate how the brain functions. Using intermarket data and other inputs, that’s what...

A computer cannot replicate the human brain completely, but artificial intelligence techniques can be used to simulate how the brain functions. Using intermarket data and other inputs, that’s what TradeShark does when it runs data through a neural network process that, after extensive “training,” produces outcomes with algorithms that recognize patterns that cannot be seen visually on a chart to make short-term trend forecasts. Mathematician Phil Arcuri takes you under the hood to explain how TradeShark applies the process to trading.

Getting the Most out of Neural Networks

Video
Neural networks start with some small baby steps, but working through numerous input/output iterations, they can recognize very sophisticated patterns to solve many real-world problems. Ted Warnock,...
Neural networks start with some small baby steps, but working through numerous input/output iterations, they can recognize very sophisticated patterns to solve many real-world problems. Ted Warnock, an aerospace engineer, says you don’t have to understand the whole process built into TradeShark’s effective training program to benefit from the “amazing capability” it offers to traders.

Market Technologies’ research team, the Predictive Technologies Group, has spent millions of dollars and more than 25 years researching and applying sophisticated mathematical processes to the global financial markets.

The result has been nothing short of phenomenal. We have successfully developed and refined extremely sophisticated, proprietary, patented computerized technologies that implement this entire process.

How is this unique?

The truth is that traders don’t know how to incorporate a multi-market or ‘intermarket’ approach into their analysis. Many foolishly believe that they are  doing intermarket analysis when they overlay a couple of markets at a time on one chart or look at the spread between any two markets to see how they differ in terms of their price movements over time.

This is an extremely simplistic way to analyze relationships between markets.

The real truth about the inter relationships between today’s globally intertwined markets is complicated!

  • The impact of each market isn’t constant – there are leads and lags in the timing and the scale
  • Key outside markets such as crude oil, the US Dollar Index, Gold and others which must be taken into consideration at the very least.
  • These interconnections can’t be understood or adequately visualized on a chart

Neural Networks are the mathematics and the secret behind Intermarket Analysis, and Market Technologies is the industry leader.

Market Technologies’ complex research methodology, which automates the mathematical processes related to performing the necessary steps to execute intermarket analysis and produce predictive technical indicators that make extremely accurate short term market forecasts possible, is the subject matter of two highly technical patent applications Mr. Mendelsohn filed on December 7, 2009 with the U.S. Patent Office, in which he has revealed for the first time how the research technologies work. On May 14, 2013 the United States Patent Office approved the first patent application involving this neural network process and issued Patent Number 8,442,891 to Mr. Mendelsohn.

This patent pertains to an invention related to methods and systems for performing intermarket analysis using neural networks. The invention details proprietary methods and processes for selecting from a large pool of available global financial markets the related markets that have the highest relevance in training neural networks to make market forecasts for each ‘primary’ market with a high degree of predictive accuracy. This selection process includes determining ‘key’ intermarkets, ‘general’ intermarkets, and ‘predictive’ intermarkets from the pool of available markets that correspond to each ‘primary’ market.

In a nutshell, artificial neural networks are obviously not as complex as a human brain or even a shark’s brain...BUT THEY CAN assume brain-like functions including

  • Studying Data
  •  “Learning” subtle relationships within and between related markets
  • Recognizing hidden repeating patterns in global market data

AND MOST IMPORTANT, Use this information to make highly accurate predictive market forecasts.

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