Let Data Mining do the FX trading. Alpari Virtual Reality Round 1 is over and the results are super interesting. After deep analysis and mining, the contest was guided by fully automated algorithmic trading with models feeding in variable periods of the competition...
Since candlestick and bar charts are the fundamental interface of the price action trader, the most basic unit is the candle or bar itself...
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...
The megaphone pattern, also known as the broadening top pattern, involves price making higher highs AND higher lows. As such, it is indicative of greater volatility and instability in the market...
The US Dollar found interim support against the Swiss Franc after issuing the largest daily decline in two months. Near-term resistance is at 0.9890, the 14.6% Fibonacci expansion, with a break above that on a daily closing basis exposing the 1.0055-126 area (23.6% level, March 12 high...
Trend Trading: A Seven-step Approach to Success by Daryl Guppy If you have no time to follow the market closely, then Trend Trading is the book for you. Trend trading is one of the most effective and easy-to-use methods for making money in the market...
WEEKLY DIGEST 2015, February 15 - 22 for Scalping Trading: Short Term Forex Trading Strategy and Scalping vs Swing Trading MQL5 blogs "The strategy of scalping targets minor changes in the intra-day stock price movement to build up profits by frequent entry and exit throughout the trading session...
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...
Suri Duddella, 19+ years full-time Futures/Equities/Options Trader. Patterns based Algorithmic Trading. Author -- "Trade Chart Patterns Like The Pros" book...
Quantitative Trading Systems by Dr Howard B Bandy The book discusses topics related to the design, testing, and validation of trading systems. The main focus is to raise confidence that the trading system you develop will be profitable when traded with real money. Some of the key topics are...
What is Price Action? Price action is a particular methodology employed by traders, based on the observation and interpretation of price action, usually through the use of candlestick or bar charts...
The East India Company: The original corporate raiders (The Guardian) Marissa Mayer Has Completed Step One (Medium) Are humans getting cleverer? IQ is rising in many parts of the world. What’s behind the change and does it really mean people are cleverer than their grandparents...
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...
