Simulating IPO Stock Data And Finding Optimal Entry/Exit Points
IPOs, or Initial Public Offerings is the process of offering shares of a previously private corporation to the public. On the first 30 days, IPOs have high volatility and therefore, it is difficult to make decisions on when to enter and exit a market, or even enter the market at all. Simple python formulas that can be easily scaled up can be used to find the optimal entry/exit points within a 30 day investment horizon. Optimal entry/exit points are periods within an investment horizon that give the highest profit.