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Infinalys2

An AI capable of doing predictions on stocks on multiple time intervals

Install / Use

/learn @PoCInnovation/Infinalys2
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Infinalys2

What is Infinalys2

Infinalys2 is a PoC project which aims to create a stock prediction's app based on Infinalys project's model.

It's a Web App that displays the history of the stock markets (curve since launch, with stock market indicators, volume, and time intervals), and their predictions (under one or more days / weeks / months), thanks to the backend, which itself draws its predictions from artificial intelligence in deep learning by taking into account the stock market indicators and history.

How to use it ?

  1. Need to have Docker installed
  2. Clone our repository
  3. Go to the project folder
  4. Execute the following command docker-compose up -d --build (also works on podman with podman_compose script)
  5. Now the docker images are created on your computer, all you have to do is go to your web browser and access the http://localhost:3000/.

Command to Initialization

git clone https://github.com/PoCFrance/Infinalys2
cd Infinalys2
docker-compose up -d --build

To launch docker-compose

Once the initialization is done no more need to build it will be enough to :

docker-compose up -d

To stop docker-compose

docker-compose stop

Customisation

In the companies.csv you got a list of the Best 506 companies in the trading market.
You can copy in this file somme companies and put them into the file companies_test to evaluate them.
The result of the fetch of companies_test is put into the stock file

Demonstration

Explain

The whole architecture of the project and its functioning is documented here

Built with

Authors

| <img src="https://github.com/chetrit.png?size=85" width=85><br><sub>Alexandre Chetrit</sub> | <img src="https://github.com/Cleopha.png?size=85" width=85><br><sub>Coline Seguret</sub> | <img src="https://github.com/lerimeur.png?size=85" width=85><br><sub>Grégoire Brasseur</sub> | :---: | :---: |:---: |

Related Skills

View on GitHub
GitHub Stars21
CategoryDevelopment
Updated21d ago
Forks0

Languages

JavaScript

Security Score

95/100

Audited on Mar 15, 2026

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