# AI - Stock Trader
Overview of the directories

```bash
./                   # Docker Files
├── data             # Local debugging data folder
└── WebServer        # The ASP.NET Core 9 Webserver
    ├── AIPython     # All the AI files written in python [Copied to the docker container via the C# compiler]
    ├── Components   # HTML pages written in .razor pages
    ├── Controllers  # Python Interop Controllers and Database Controller
    ├── Properties   # ASP.Net Properties files
    └── wwwroot      # Statically hosted Web Files
```

## Prerequisites
  
You need to have docker and docker-compose installed

## Hardware Requrement

You need a computer with docker-compose installed. 
GPU is not needed as it runs via the CPU runtime. 

Minimum Specs:  
  4 core CPU. 
  16GB ram. 

## Installation
How to host a local copy

```bash
# Pull the files using git
git clone git@gitlab.com:wgu-gitlab-environment/student-repos/dhol325/d683-advanced-ai-and-ml.git

# Enter the working directory
cd ./d683-advanced-ai-and-ml

# use docker compose to bring everything up
docker compose up -d
```

## Usage

Navigate to [localhost:5000](http://127.0.0.1:5000).

Register an account with a username and password  
Add as many stock symbols as you would like to the watched stocks  
Sit back and let the AI day trade for you  
This will auto trade once per day based on the AI predicted stock movement 5 days in advance  
-------------------
If you would like to simulate your watched stocks on the last 30 days of stock history you can run the 'Run 1Mo Evaluation'  
This will simulate, such as the real algorithm, the stock trade's per day on your watched stocks so you can get a feel for your watched stocks