GitHub - Kushg02/StockSmart: A complete java application for utilizing quantitive random walk theory and risk analysis for stocks and securities. Created for my AP Computer Science A final project in high school.

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A complete java application for utilizing quantitive random walk theory and risk analysis for stocks and securities. Created for my AP Computer Science A final project in high school.

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Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
CSA-Final		CSA-Final
jfreechart-1.0.19		jfreechart-1.0.19
.DS_Store		.DS_Store
AMZN.txt		AMZN.txt
Calculation.class		Calculation.class
Calculation.ctxt		Calculation.ctxt
Calculation.java		Calculation.java
FileIO.class		FileIO.class
FileIO.ctxt		FileIO.ctxt
FileIO.java		FileIO.java
GUI$1.class		GUI$1.class
GUI$ListenForButton.class		GUI$ListenForButton.class
GUI.class		GUI.class
GUI.ctxt		GUI.ctxt
GUI.java		GUI.java
Graph.class		Graph.class
Graph.ctxt		Graph.ctxt
Graph.java		Graph.java
README.TXT		README.TXT
StockSmart GUI.png		StockSmart GUI.png
StockSmart.class		StockSmart.class
StockSmart.ctxt		StockSmart.ctxt
StockSmart.java		StockSmart.java
StockSmartApp_Build_1.0.jar		StockSmartApp_Build_1.0.jar
TSLA.txt		TSLA.txt
Thumbs.db		Thumbs.db
analysisResult.txt		analysisResult.txt
dataTest1.txt		dataTest1.txt
index.txt		index.txt
package.bluej		package.bluej
team.defs		team.defs

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------------------------------------------------------------------------
This is the project README file. Here, you should describe your project.
Tell the reader (someone who does not know anything about this project)
all he/she needs to know. The comments should usually include at least:
------------------------------------------------------------------------

PROJECT TITLE: StockSmart
PURPOSE OF PROJECT: Stock Analysis
VERSION or DATE: 1.5v
HOW TO START THIS PROJECT: Run 'void main' in class StockSmart
AUTHORS: Kush Garg
USER INSTRUCTIONS:

Files For Input:
    - Amazon Stock History
    - Tesla Stock History
    - Index History

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A complete java application for utilizing quantitive random walk theory and risk analysis for stocks and securities. Created for my AP Computer Science A final project in high school.

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