Python Program to Predict Stock Prices Assignment Solution

June 28, 2024
Dr. Ashley
🇺🇸 United States
Python
Dr. Ashley, a highly skilled professional with 8 years of experience, holds a Ph.D. from the University of Chicago. Having successfully completed over 600 Python assignments, she is recognized for her exceptional proficiency and attention to detail. Dr. Ashley's comprehensive knowledge and practical approach make her a trusted mentor for students navigating the challenges of Python programming.
Key Topics
• Instructions
• Objective
• Requirements and Specifications
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Instructions

Objective

Write a python assignment program to predict stock prices.

Requirements and Specifications

Source Code

```from functions import * ### beta calculations get_beta('data.csv') ### simulation function data=simulate(120,0.6,0.5,10) data ### Calculating probability c=0 for i in range(10000): data=simulate(T=120,alpha=0.6,p=0.5,x0=10) drop=(data[-1]-data[0])/data[0] if drop<=-0.1: c+=1 c/10000 c=0 for i in range(10000): data=simulate(T=120,alpha=0.6,p=0.5,x0=10) drop=(data[-1]-data[0])/data[0] if drop<=-0.25: c+=1 c/10000 ### Visualization data=simulate(120,0.6,0.5,10) plt.figure(figsize=(10,8)) plt.plot(data) plt.grid() plt.xlabel('time steps',fontsize=20) plt.ylabel('price',fontsize=20) plt.title('stock price simulation',fontsize=20) plt.ylim(0,20) plt.savefig('MITID_Figure1.pdf') plt.show() ```

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