This report presents the vital role stochastic modeling (CLM) plays in designing an algorithm that automatically produces respective BUY/SELL (BS) orders for EURO and British Pound (GBP) currencies. These trades are made possible by using the online Trader Workstation (TWS) provided by...

In this paper we examine the effectiveness of modeling a paris-traded ETF portfolio as an Ornstein-Uhlenbeck process. Using ETF pairs that have similar references indexes, we apply maximum likelihood estimation to historical data in order to optimize trading signals for two strategies. Using...

The aim of this paper is to introduce a two-step trading algorithm, named TI-SiSS. In the first step, using some technical analysis indicators and the two NLP-based metrics (namely Sentiment and Popularity) provided by FinScience and based on relevant news spread on social media, we construct a...

Unbeknownst to the public, most investment funds actually underperform the broader market. Yet, millions of individual investors fare even worse, barely treading water. Algorithmic trading now accounts for over 80% of all trades and is the domain of professionals. Can it also help the small...

A hands-on guide to the fast and ever-changing world of high-frequency, algorithmic trading Financial markets are undergoing rapid innovation due to the continuing proliferation of computer power and algorithms. These developments have created a new investment discipline called high-frequency...

There are so many trading systems out there today, each one claiming to have the secret that will bring windfall returns. Some may fare well in rising markets, but all too often leave the trader struggling to keep their head--and capital--up when the market starts to fall. Doesn't sound too...