Money Making Server

This server hosts REST API endpoints to use machine learning models on a specific dataset and evaluate performance.

Accessing Endpoints Publicly

1. Use the base URL: https://immense-alert-osprey.ngrok-free.app
2. Append the compatible endpoints listed below to this base URL and call with the correct requests.

Running Locally

1. Navigate to server/app.py.
2. Comment out ngrok-related lines.
3. Run pip install -r requirements.txt
4. Run python app.py.
5. The server will run locally at http://localhost:5000.

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Endpoints

Mean Reversion Endpoint

Runs the mean reversion model and returns a series of buy/sell suggestions with confidence values.

• URL: /api/meanreversion
• Method: POST

Example Request

{
  "ticker": "AAPL",
  "trainstart": "2015-01-01",
  "trainend": "2022-01-01",
  "teststart": "2022-01-01",
  "testend": "2024-05-06",
  "maxholding": "100"
}

Example Response:

[
  {
    "confidence": 0.9731735587120056,
    "datetime": "2022-12-06 00:00:00",
    "suggestion": "Buy"
  },
  {
    "confidence": 0.9925611019134521,
    "datetime": "2022-12-07 00:00:00",
    "suggestion": "Buy"
  },
  ...
]

List Stocks

Lists 10 frequent stock tickers. Currently hardcoded

• URL: /api/list_tickers
• Method: GET

Example Request

Example Response:

[
    "AAPL",
    "AMZN",
    "GOOG",
    "META",
    "MSFT",
    "NVDA",
    "TSLA"
]

Stock Data

Retrieves stock's daily information given a ticker, start date, and end date.

• URL: /api/stock_data
• Method: GET

Example Request:

{
  "ticker": "AAPL",
  "start_date": "2015-01-01", # optional
  "end_date": "2022-01-01", # optional
}

Example Response:

[
    {
        "datetime": "2023-01-01 00:00:00",
        "open": 130.00,
        "high": 135.00,
        "low": 128.00,
        "close": 132.00,
        "volume": 100000
    },
    {
        "datetime": "2023-01-02 00:00:00",
        "open": 132.00,
        "high": 136.00,
        "low": 130.00,
        "close": 134.00,
        "volume": 110000
    }
]