Millions of trades are made on the NYSE everyday. Each trader is looking to generate maximum returns at a minimum risk. In order to do so, traders gain insights from algorithmic models that take into account various variables, ranging from historical average returns to information from a newpaper release. Our capstone looks into a new variable (patent grants) for dynamic trading to generate above average returns.
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