Stock Market Simulator

Objective: Develop a basic stock market simulator using

Python. The simulator should facilitate users to buy$/$sell

stocks, monitor their portfolio, and trace historical prices of a

set of stocks.

Specifications:

Stock Data Representation:

$$ Use lists to store stock prices for multiple companies.

$$ Utilize strings to represent stock names $($e$.$g$.,$ "Apple", "Google"$).$

$$ Ensure that price$[$i$]$ should match the stock named name$[$i$].$

File Processing with Python:

$$ Use the open$()$ function to read initial stock data from a file.

$$ Each file line should include a stock name followed by its initial price.

$$ Retain historical prices for the purpose of displaying trends.

User Portfolio:

$$ Design lists to log the quantity of shares of each stock owned by the user and the

user's transaction history $($buys$/$sells$).$

Menu System:

$$ Implement a menu using Python's print function and input$()$ for user prompts.

Options should cover:

$$ Display stocks

$$ Purchase stocks

$$ Sell stocks

$$ Observe portfolio

$$ Save portfolio

$$ Exit

Buying and Selling Stocks:

$$ Formulate functions for stock transactions, incorporating checks for sufficient

user funds, updating user stock count, and recording transactions.

Mathematical Functions:

$$ Develop functions to compute the net worth of the user's portfolio.

$$ Create a simple random walk method to adjust stock prices after each user

transaction to emulate market variations. You may use the following:

$$

Save User Portfolio:

$$ Integrate functionality to preserve the user's portfolio and transaction logs in a

file for subsequent sessions.

Error Handling with Python:

$$ Use try$-$except blocks to tackle potential user mistakes, such as inputting invalid

data or attempting to sell stocks not in their possession.

Sample Output $-$

Viewing Stocks $($Option $1)$:

Buying Stocks $($Option $2)$:

Selling Stocks $($Option $3)$:

Viewing Portfolio $($Option $4)$:

Saving Portfolio $($Option $5)$:

Exiting $($Option $6)$:Available Stocks:

Apple $-$ $$150$

Google $-$ $$2500$

Buying Stocks $($Option $2)$:

Enter stock number to buy: $1$

Enter quantity: $5$

Successfully purchased $5$ shares of Apple.

Selling Stocks $($Option $3)$:

Enter stock number to sell: $1$

Enter quantity: $2$

Successfully sold $2$ shares of Apple.

Viewing Portfolio $($Option $4)$:

Your Portfolio:

Apple $-3$ shares

Total Value: $$450$

Saving Portfolio $($Option $5)$:

Portfolio saved successfully!

Exiting $($Option $6)$:

Thank you for using the Stock Market Simulator. Goodbye! Stock Market Simulator

Objective: Develop a basic stock market simulator using

Python. The simulator should facilitate users to buy$/$sell

stocks, monitor their portfolio, and trace historical prices of a

set of stocks.

Specifications:

Stock Data Representation:

Use lists to store stock prices for multiple companies.

Utilize strings to represent stock names $($e$.$g$.,$ "Apple", "Google"$).$

Ensure that price$[$i$]$ should match the stock named name$[$i$].$

File Processing with Python:

Use the open$()$ function to read initial stock data from a file.

Each file line should include a stock name followed by its initial price.

Retain historical prices for the purpose of displaying trends.

User Portfolio:

Design lists to log the quantity of shares of each stock owned by the user and the

user's transaction history $($buys$/$sells$).$

Menu System:

Implement a menu using Python's print function and input$()$ for user prompts.

Options should cover:

Display stocks

Purchase stocks

Sell stocks

Observe portfolio

Save portfolio Exit

Buying and Selling Stocks:

Formulate functions for stock transactions, incorporating checks for sufficient

user funds, updating user stock count, and recording transactions.

Mathematical Functions:

Develop functions to compute the net worth of the user's portfolio.

Create a simple random walk method to adjust stock prices after each user

transaction to emulate market variations. You may use the following:det stmolato,price$\_$charge$($current$\_$price$)$:stmplate a randoa pztce change for a stock.current,orice $($float$)$; The current price of the stoek.float: The new stice aftor the randes malk.$\backslash$ Define parameters for the randon malkvolatility $=0\mathrm{.}3*$ Volatality $($can be adjusted$)$random$\_$changs $=$ random,gauss$($drift$,$ volatility$)$new$\_$price $=$ current$\_$price $*(1+$ random,change$)$if new,price $<mtext></mtext><mn>0</mn><mn>.</mn><mn>0</mn><mn>4</mn>$:return new,price

Exanple usage:

current$\_$price $=\}=100\mathrm{.}0=|\backslash$mathrm$\{$ Replace with tha actual current price

new,price $=$ simulate,price$\_$change$($current$,$ price$)$

print$($t$*$New price; $$\{$nowsgrtce;$\mathrm{.}2$t$)=)$Save User Portfolio:

Integrate functionality to preserve the user's portfolio and transaction logs in a

file for subsequent sessions.

Error Handling with Python:

Use try$-$except blocks to tackle potential user mistakes, such as inputting invalid

data or attempting to sell stocks not in their possession.

Sample Output $-$

Viewing Stocks $($Option $1)$: