Stock Analysis Tool (SAT) Lalantha Sathkumara Faculty Advisor: Dr Stock Analysis Tool (SAT) Lalantha Sathkumara Faculty Advisor: Dr. Abbott Department of Computer Science College of Engineering, Computer Science, and Technology California State University, Los Angeles Have students check that the logo is the appropriate one to use. Graphs Testing Strategies Tabular representation of results The user can access 3 pre-defined graphs, or create their own. Input Conditions S&P Close vs.7day SMA vs.21day SMA Zoomed view of last 2 years Strategy success Graphical representation of results Daily price difference for S&P 500 Custom Graph will allow the user to plot up to 5 different indicators on one graph. The available indicators are: Open, High, Low, Close, SMA, EMA. Results Comparative analysis of S&P 500 (1950-2009) SMA and EMA Short-term Strategy: buy at 10/50 day crossover; sell after x days. Data Source: Dow Jones (Open vs. SMA 50 vs. SMA 200 vs. EMA 50) Built-in Strategies Comparative analysis of DOW (1926-2009) and S&P 500 (1950-2009) Long-term Strategy: buy at 50/200 day crossover; sell after x days. Consist of both short term and long term strategies. Aggregated profit/loss for a given strategy in statistical and graphical representation. Example: 10/50 SMA Crossover. Buy when 10-Day SMA crosses over 50-Day SMA and hold it for x days.