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TSWLatexianTemp_000111.tex
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TSWLatexianTemp_000111.tex
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\documentclass[twocolumn]{article}
\usepackage{upquote}
\usepackage{listings}
\usepackage{color}
\usepackage[margin=1cm]{geometry}
\usepackage{graphicx}
%\usepackage{wrapfig}
\begin{document}
\title{Autonomous Trading Agent Implementation Using Natural Language Processing Of News Headlines: An Introduction}
\author{William Lyon}
\date{\today}
\maketitle
\abstract{Natural Language Processing techniques are used to examine financial news headlines and generate predictions of stock price movements.
\section{Introduction}
\subsection{Motivation}
This tool could be used as a component of an autonomous trading agent that will make BUY/SELL decisions for tradin financial instruments.
\subsection{Literature Review}
\section{Data}
Google Finance provides access to historical stock quotes as well as links to financial news stories pertaining to specific stocks. This data provides the basis for this paper.
\begin{figure}[htb]
%\begin{wrapfigure}{o}{8cm}
\centering
\includegraphics[scale=0.25]{cum_graph.png}
\caption{Cumulative frequency plot}
\end{figure}
%\end{wrapfigure}
%\end{figure}
%\includegraphics[width=60mm]{cum_graph.png}
%\includegraphics[height=60mm]{cum_graph.jpg}
%\includegraphics[scale=0.75]{myfig.pdf}
%\includegraphics[angle=45,width=52mm]{cum_graph.png}
\section{Methodology}
\subsection{Naive Bayes}
\subsection{Decision Tree}
\subsection{Maximum Entropy}
\section{Implementation}
\section{Evaluation}
\subsection{Accuracy}
\subsection{Most informative features}
\subsection{Precision}
\subsection{Recall}
\section{Conclusions}
\subsection{Further research}
\section{References}
\end{document}