Candlestick patterns are leading signals for trend reversal and trend continuation. However interpreting these candlestick patterns is an art that requires years of experience. Candlestick patterns are most of the time vague and imprecise...
Whatever people say about Bitcoin it still is highly volatile and there are enough opportunities to earn big...
Convolutional Neural Networks are the latest breakthrough in deep learning. Convolutional Neural Network have provided the breakthrough in image recognition, health and other fields. Today there is a lot of talk on finally achieving autonomous car driving...
The Outlook to Apple Mail Converter by Inc. is a mighty way for migrating Outlook files to Apple Mail online that mechanism flawlessly. It out does all the separate tools in terms of convert, quality and certificate of emails...
Neural Networks are considered to be the most revolutionary AI breakthrough. Neural networks are now being used in many fields now. Can we train a neural network for trading forex? In this post I have trained a neural network for trading high frequency forex data...
=== XAUUSD Neural Network Future predictions from end of training data === Predictions Date High (%Probability) Low (%Probability...
=== XAUUSD Future predictions from end of training data === Predictions Date High (%Probability) Low (%Probability...
Deep learning is the buzzword now a days. It is being claimed that deep learning is the technological revolution of this century. Deep learning has performed miracles at Google, Facebook, Amazon and other high tech companies. Soon we will be seeing auto driving cars...
Neural Networks are powerful tools. But you need experience to model them. Echo State Network is a powerful concept that gives good price predictions in forex trading. Feed Forward Neural Networks are not good when it comes to predicting high frequency financial time series data...
Long Short Term Memory Recurrent Neural Network (LSTM) is different from traditional neural network. A traditional neural network uses a neurons while LSTM neural network uses memory blocks. These memory blocks can store information for a long time before it uses it...
Python is rapidly becoming the language of choice for machine learning. Python has many good modules for deep learning as well. Machine learning is a new game that is becoming very popular. If you are a trader, you can use machine learning to predict market direction...
R is a powerful data science and machine learning software that is open source. You can download R free from its website. It has versions available for Windows as well as Mac OS and Linux. Rstudio is the IDE (Integrated Development Environment) for R. You can also download it free...
Support Vector Machines are an important tool when it comes to Statistical Learning also known as Machine Learning. Support Vector Machines and Neural Networks are two of the most cutting edge tools in machine learning. The problem with Neural Networks is that they can get stuck in a local minima...
If we can predict the weekly high, low and close, we can make our trading system more accurate. In this blog post I have used the NeuralNet R package to train a model that predicts the weekly candle high, low and close...
Binary options trading is very popular now a days. Binary options trades are set and forget. There is no stop loss involved. You just need to predict the market direction correctly...
Neural Networks is a fascinating subject. But I don't believe these Neural Networks can compete with the biological neural networks like those in our brain. I have written a post on my blog where I explain how you can predict the weekly candle using Elman Neural Network...
NNET is an R package that helps you make a single hidden layer feed forward perceptron Neural Network model. You select the inputs that you want to have. I have posted 2 videos in the blog post that explain in detail what is this NNET Neural Network Model. NNET is fast in calculating the model...
Deep Learning is considered to be the new breakthrough in the field of artificial intelligence. Deep Learning Networks are being used today to solve all sorts of practical problems. That includes speech recognition, handwriting recognition, image recognition, auto driving etc...