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Competitive Landscape & Beginning Literature Review

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Competitive Landscape & Beginning Literature Review Introduction The goal of my capstone project, the Simulated Investment Fund and Technology Blindside Strategy, is to develop a simulated investment fund and study particular firms that are part of the investment fund to understand the technology blind-side risks within those firms. A major part of it is to build a successful trading strategy. “In finance, a trading strategy is a fixed plan that is designed to achieve a profitable return by going long or short in markets. The main reasons that a properly researched trading strategy helps are its verifiability, quantifiability, consistency, and objectivity” [1]. Currently we have two trading strategies combined together. The first strategy is called Polynomial Regression Strategy, which uses mathematical method to calculate the high degree polynomial regression line. Based on the trend we could find the signals to buy or sell stocks. The second trading strategy is called Discounted Cash Flow method, which is a part of fundamental analysis strategy. It uses future free cash flow to discount them back to arrive at a present value, which is used to evaluate the attractiveness for a potential investment. However, there are so many different strategies in the world except for what we are working on right now. The most popular five trading strategies are as following: Mean Reversion In the world of technology analysis, moving average is one of the most popular and widely used indicators. What started with the simple moving average and then towards exponential moving average has with the passage of time and advent of computer programmed software's have made technicians to experiment and come up with new types of data calculation [2]. Mean Reversion is a theory suggesting that prices and returns eventually move back towards the mean or average under the above assumption. A

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