https://github.com/doridoro/algoinvest_trade

Project 7 OpenClassrooms Path - AlgoInvest&Trade -- develop an algorithm to solve a problem
https://github.com/doridoro/algoinvest_trade

algorithm branch-bound-algorithm cleaning-dataset finance-analysis-data financial-data greedy-algorithm itertools pandas-library python3

Last synced: about 2 months ago
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Project 7 OpenClassrooms Path - AlgoInvest&Trade -- develop an algorithm to solve a problem

• Host: GitHub
• URL: https://github.com/doridoro/algoinvest_trade
• Owner: DoriDoro
• Created: 2023-06-16T13:27:22.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-08-05T19:16:28.000Z (almost 2 years ago)
• Last Synced: 2025-02-13T12:18:51.140Z (4 months ago)
• Topics: algorithm, branch-bound-algorithm, cleaning-dataset, finance-analysis-data, financial-data, greedy-algorithm, itertools, pandas-library, python3
• Language: Python
• Homepage:
• Size: 338 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Algo Invest Trade

## Description:

Project 7 OpenClassrooms Path - AlgoInvest&Trade -- develop an algorithm to solve a problem

We need you to design an algorithm that will maximise the profit made by our clients after two years 

of investment. Your algorithm must suggest a list of the most profitable stocks that we should buy 

to maximise a client's profit after two years.

## 1st part - bruteforce algorithm:

We have the following conditions:

- Each share can only be purchased once.

- We cannot buy a fraction of a share.

- We can spend a maximum of 500 euros per customer.

## 2nd part - optimization of the bruteforce algorithm:

The programme must provide an answer in less than one second. I have created two algorithms, one

greedy algorithm and a branch and bound algorithm.

Add share datasets of 1000 shares, cleaned the datasets before usage with pandas library. 

## Installation: 

open terminal

1. `git clone https://github.com/DoriDoro/algoInvest_trade.git`

2. `cd alogInvest_trade`

3. `python3 main.py`

### Skills:

- Deconstructing a problem

- Developing an algorithm to solve a problem

## Visualisation of the Project:

1. Start the program with `python3 main.py`

2. The Main Menu to choose the file: 


![Main Menu](/images_README/MainMenu.png)

3. Next step: choose the data of shares 


![Data](/images_README/ChooseData.png)

4. Third step: choose the budget 


![Budget](/images_README/ChooseBudget.png)

5. Display the results: 


![Results](/images_README/Results.png)