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...
GBPUSD June 27 2016 forecasting with neural network === Predictions for training data: close (1-step ahead) === inst# actual predicted conf error 13 1.5948 1.5956 1.588:1.603 0.0008 14 1.5946 1.5946 1.587:1.602 -0...
W1 price is located above 200 period SMA (200-SMA) and above 100 period SMA (100-SMA) for the primary bearish market condition: the price was stopped by Fibo resistance level at 1.3213: the price is traded near 1...
W1 price is located above 200 period SMA (200-SMA) and above 100 period SMA (100-SMA) for the primary bullish market condition: Fibo resistance level at 1.3213 is going to be broken for the bullish trend to be continuing. Next bullish target is R3 Pivot at 1.3352. "Near-term resistance is at 1...
The goal of the webinar is to demystify neural networks, explain neural networks in plain English, and share easy to understand code examples how NN can be used...
Adam has two decades of experience in the industry as a trader, analyst and system developer, covering the full range of liquid markets and timeframes from scalping to long-term investing...
Online voting is the demand from the people who though want to vote cannot do so as they are not physically present at the voting center. Some other countries like Norway and Spain are trying to bring in similar systems...
This good webinar is providing with the assistance of Adam Grimes. More about Adam Grimes: Adam has two decades of experience in the industry as a trader, analyst and system developer, covering the full range of liquid markets and timeframes from scalping to long-term investing...
Mr Munger said that high-frequency trading was "the functional equivalent of letting a lot of rats into a granary...
The goal of the webinar is to demystify neural networks, explain neural networks in plain English, and share easy to understand code examples how NN can be used. Artificial Intelligence: History and Background Neural Networks: The Basics Case Example Problems with Neural Networks...
Quantitative Trading involves the use of computer algorithms and programs based on simple or complex mathematical models to identify and capitalize on available trading opportunities...
Gone are the days when algorithmic trading was the domain of high-frequency trading firms and Wall Street’s big banks. I Know First, a contestant for this year’s Benzinga Fintech Awards, is a company that is trying to bring the algorithmic trading experience to retail traders and investors...
IBM is aiming at creating vast neural networks with a chip implementing one million neurons and 256 million programmable synapses. It is the biggest chip the firm has ever designed: 5...
Machine learning has made big advances in the past few years, thanks in no small part to new methods for scaling out compute-intensive workloads across more cores...
Today we are worshipping the gods of the algorithm, according to one prominent magazine. It’s not a bad comparison. Everything from search results to our machine learning efforts are the basis of a series of equations that purport to solve for something that feels almost ineffable, human...
