Stock-Report

This project aimed to create a page that will prepare a brief summary in the form of charts of trading results.

How it works

The application includes three pages:

• About 📈 - this is the current page, which shows instructions on how to use the various elements of the page,
• Report 📄 - there are four key elements on the page:
  • Loading file widget - simply for loading a file in csv form
  • Table - contains main columns on which operations are performed. The user can enter custom column names from his file to correspond to those used by the system,
  • Date format - date format used in 'Close time' and 'Open time' columns
  • Balance - initial balance of the account,
• AI-Support 🧠 - a page where you can talk to the AI bot (llama2) about subject you want.

Data reading is based on the file from the xStation5 platform (XTB), so the data file must be in csv format with the following columns:

Installation

If you want to talk to ai bot, you need to download llama2 model, which works locally. Then the project requires the ollama program which can be downloaded from the website - OLLAMA Then select llama2 from the list of models (it was only tested) and install.

Download a repository

> git clone https://github.com/mateo252/Stock-Report.git

> cd Stock-Report

Create a virtual environment and install requirements (require Python <= 3.11)

> python -m venv venv

> venv\Scripts\activate

(venv) > pip install -r requirements.txt

Finally run a project

(venv) > cd src

(venv) > streamlit run 📈About.py

License

MIT