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...
When we search Google’s web index, we are only searching around 10 percent of the half-a-trillion or so pages that are potentially available...
Resilient back propagation (Rprop), an algorithm that can be used to train a neural network, is similar to the more common (regular) back-propagation. But it has two main advantages over back propagation: First, training with Rprop is often faster than training with back propagation...
Quantitative Investing: Strategies to exploit stock market anomalies for all investors by Fred Piard This book provides straightforward quantitative strategies that any investor can implement with little work using simple, free or low-cost tools and services...
Abstract Support vector machines (SVMs) are promising methods for the prediction of -nancial timeseries because they use a risk function consisting of the empirical error and a regularized term which is derived from the structural risk minimization principle...
WEEKLY DIGEST 2015, February 01 - 08 for Neural Networks in Trading: Do NN need “compound” features, and How do I normalize data for stock prediction? mql5 blogs "Some have tried not using price data at all, and instead using indicators based on that data...
WEEKLY DIGEST 2015, January 24 - 31 for Neural Networks in Trading: Using Neural Networks for Huge Profits mql5 blogs "A neural network is essentially a system of programs and data structures that approximates the operation of the human brain...
WEEKLY DIGEST 2015, January 17 - 24 for Neural Networks in Trading: iknowfirst and artificial intelligence on stock market mql5 blogs “Till today, those kind of algorithms were used only by large institutions, clients like Goldman Sachs...
