To set up a virtual environment for your forex trading analysis project, you'll first need to decide on a folder structure that organizes your work efficiently. I'll guide you through creating this structure, setting up a virtual environment, and providing a basic `requirements.txt` file.

### Project Folder Structure

Here's a suggested structure to keep your project organized:

```
forex_project/
│
├── data/                    # Folder to store CSV files and other data
│
├── notebooks/               # Jupyter notebooks for analysis and exploration
│
├── src/                     # Source code for fetching and processing data
│   ├── __init__.py          # Makes Python treat the directories as containing packages
│   └── data_fetcher.py      # Example script to fetch data from Oanda
│
├── tests/                   # Unit tests
│   ├── __init__.py
│   └── test_data_fetcher.py # Example test file
│
└── requirements.txt         # Project dependencies
```

### Setting Up a Virtual Environment

**1. Creating a Virtual Environment:**

First, navigate to your project directory in the terminal, then run:

```bash
python3 -m venv venv
```

This command creates a virtual environment named `venv` within your project directory.

**2. Activating the Virtual Environment:**

- **On Windows:**

```bash
venv\Scripts\activate
```

- **On macOS and Linux:**

```bash
source venv/bin/activate
```

Once activated, you'll see the name of the virtual environment (`venv`) in your terminal prompt, indicating that any Python or pip commands will use the environments' packages and settings.

**3. Deactivating the Virtual Environment:**

When you're done working in the virtual environment, you can deactivate it by running:

```bash
deactivate
```

### `requirements.txt` File

Create a `requirements.txt` file in your project root directory (`forex_project/`) with the following content to specify the project dependencies:

```
pandas
numpy
matplotlib
seaborn
requests
oandapyV20
jupyterlab
```

**Installing Dependencies:**

With your virtual environment activated, install the project dependencies by running:

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

This command reads the `requirements.txt` file and installs the specified versions of the packages into your virtual environment.

### Final Steps

- **Developing Your Project:** Place your Python scripts in the `src/` directory, Jupyter notebooks in `notebooks/`, and any tests in `tests/`. Use the `data/` directory to store fetched data, such as CSV files.
- **Using Jupyter Notebook:** If you want to use Jupyter Notebook for analysis, start it with `jupyter notebook` or `jupyter lab` if you're using JupyterLab, and it will open in your web browser. Ensure you're doing this with your virtual environment activated so that Jupyter can access your project's dependencies.

This setup provides a solid foundation for developing your forex trading analysis project, offering a clear separation of concerns and making it easier to manage dependencies and share your work with others.