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...

Previous research has identified that investors place more emphasis on technical analysis than fundamental analysis, however the research has largely been confined to daily data and stock market indices. This paper studies whether intraday technical trading rules produce significant payoffs in...

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...

This paper studies whether and why algorithmic traders exhibit one of the most broadlydocumented behavioral puzzles - the disposition effect. We use trade data from the NASDAQ Copenhagen Stock Exchange merged with the weather data. We find that on average, the disposition effect for human...

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...