https://github.com/mateo252/stock-report

Create stock market reports and talk to bot about finance
https://github.com/mateo252/stock-report

llama2 llama3 ollama python stock streamlit trading

Last synced: about 2 months ago
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Create stock market reports and talk to bot about finance

• Host: GitHub
• URL: https://github.com/mateo252/stock-report
• Owner: mateo252
• License: mit
• Created: 2024-05-13T12:10:07.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-13T12:12:59.000Z (9 months ago)
• Last Synced: 2024-10-30T00:52:00.798Z (3 months ago)
• Topics: llama2, llama3, ollama, python, stock, streamlit, trading
• Language: Python
• Homepage:
• Size: 89.8 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# 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.

![IMG](./img/about_page.png)

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:

| Symbol | Position | Type | Lots | Open time | Open price | Close time | Close price | Profit | Net profit | Rollover | Comment |

|:------:|:--------:|:----:|:----:|:---------:|:----------:|:----------:|:-----------:|:------:|:----------:|:--------:|:-------:|




# 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](https://ollama.com/) 


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