### Install Project Dependencies

Source: https://github.com/leonardoberti00/deepmarket/blob/main/README.md

Installs all required Python packages listed in 'requirements.txt'. Make sure the virtual environment is activated.

```sh
pip install -r requirements.txt
```

--------------------------------

### Clone DeepMarket Repository

Source: https://github.com/leonardoberti00/deepmarket/blob/main/README.md

Use this command to clone the project repository from GitHub. Ensure you have Git installed.

```sh
git clone https://github.com/LeonardoBerti00/DeepMarket.git
```

--------------------------------

### Activate Virtual Environment

Source: https://github.com/leonardoberti00/deepmarket/blob/main/README.md

Activates the created virtual environment. The command differs based on your operating system (this example is for Windows).

```sh
env\Scripts\activate
```

--------------------------------

### Run Training Script

Source: https://github.com/leonardoberti00/deepmarket/blob/main/README.md

Execute the main training script. This command initiates the data preprocessing and model training pipeline.

```shell
python main.py
```

--------------------------------

### Run Market Simulation with TRADES (With LOBSTER Data)

Source: https://github.com/leonardoberti00/deepmarket/blob/main/README.md

Executes a market simulation using a TRADES checkpoint with LOBSTER data. Ensure LOBSTER data is correctly formatted and placed in the 'data' directory. Change 'cst.DATE_TRAING_DAYS' to match your data's date range.

```sh
python -u ABIDES/abides.py -c world_agent_sim -t ${stock_symbol} -date ${date} -d True -m TRADES -st '09:30:00' -et '12:00:00'
```

--------------------------------

### Create Python Virtual Environment

Source: https://github.com/leonardoberti00/deepmarket/blob/main/README.md

Creates a virtual environment named 'env' for the project. This helps manage dependencies separately.

```sh
python -m venv env
```

--------------------------------

### Run Market Simulation with IABS Configuration

Source: https://github.com/leonardoberti00/deepmarket/blob/main/README.md

Executes a market simulation using the IABS configuration. Specify the date and time range.

```sh
python -u ABIDES/abides.py -c rsmc_03 -date 20150130 -st '09:30:00' -et '12:00:00'
```

--------------------------------

### Run Market Simulation with TRADES (No LOBSTER Data)

Source: https://github.com/leonardoberti00/deepmarket/blob/main/README.md

Executes a market simulation using a TRADES checkpoint without LOBSTER data. Specify the stock, date, and time range.

```sh
python -u ABIDES/abides.py -c world_agent_sim -t INTC -date 2012-06-21 -d True -m TRADES -st '09:30:00' -et '12:00:00' -id 2.317
```

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