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2018/11/18 · The FSO Harmonic Scanner has a neural network integration to ensure accurate non-repaint trading signals. The neural network created by FX Tech Group Ltd. has been online since late 2016 and produces Forex trading decisions with extreme high accuracy.

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2011/06/30 · 9) before building a network do seperate analysis on correlations I have reserached neural nets for some time and have had some success - particularly with forex. (e.g over 90% directional accuracy at predicting direction over the next 50 bars on out of sample and live trading). Its not easy, and every market behaves differently, so no holy grail.

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2018/06/12 · Hi all. I am engineer with a good mathematical and neural networks background: In Mathematics I know very well all the aspects of Mathematical Analysis (including Lebesgue Measure and Integration), Numerical Analysis (including numerical methods of Differential Equations), Linear and non Linear Algebra (with applications in Signals and Systems, Discrete Time Signal Processing, Control …

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Proof of this concept is technical analysis and theories that are widely used by traders in identifying these patterns. This makes neural networks a better tool for forex market as neural networks are know their ability of learning unknown processes and forecast the patterns of …

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Is there anything like the best Forex indicator or the world’s best Forex indicator?. Definitely yes, there is! But don’t expect this is only an easy to follow arrow either up or down. If Forex trading would be that simple, hey, we all would be millionaires and the world economy wouldn’t be like we know it.

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Neural computing should be based on insect brains, not human ones Insect brains are a better model for artificial intelligence in IoT than human brains are because they are simpler and focus on

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This paper proposes a C-RNN forecasting method for Forex time series data based on deep-Recurrent Neural Network (RNN) and deep Convolutional Neural Network (CNN), which can further improve the prediction accuracy of deep learning algorithm for the time series data of exchange rate.

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2018/06/20 · I too am running a neural network based robot, built using Googles Tensorflow Neural network toolbox with python connecting it to MT4. Having good results and feeling optimistic about its performance. Trained on 10 years worth of daily data, and retrained each …

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BPNN Predictor is an indicator pertaining to the category of predictors. To predict the future behavior of prices BPNN Predictor uses a neural network with three layers. The indicator is universal, but it is better to use at higher timeframes

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2017/03/12 · BPNN Predictor is an indicator pertaining to the category of predictors. To predict the future behavior of prices BPNN Predictor uses a neural network with three layers. The indicator is universal

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Artificial Intelligence Software for Forex Traders. VantagePoint software then takes this data through a patented, neural network process that produces a variety of predictive, leading technical indicators that make incredibly accurate short-term price and trend forecasts. As a result, currencies tend to be better trending markets.

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