Stock Prices

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By alphawave | Updated 16 days ago | Finance
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README

AlphaWave Data Stock Prices API

Jupyter Notebook Example
Github Example
Medium

First, we import the necessary Python libraries.

import json
import requests
import pandas as pd

Using the AlphaWave Data Stock Prices API, we can get the Historical Daily Prices for a given stock symbol. To call this API with Python, you can choose one of the supported Python code snippets provided in the API console. Here is an example of how to invoke the API with Python Requests.

url = "https://stock-prices2.p.rapidapi.com/api/v1/resources/stock-prices/1y"

querystring = {"ticker":"AAPL"}

headers = {
    'x-rapidapi-host': "YOUR_X-RAPIDAPI-HOST_WILL_COPY_DIRECTLY_FROM_RAPIDAPI_PYTHON_CODE_SNIPPETS",
    'x-rapidapi-key': "YOUR_X-RAPIDAPI-KEY_WILL_COPY_DIRECTLY_FROM_RAPIDAPI_PYTHON_CODE_SNIPPETS"
    }

prices_response = requests.request("GET", url, headers=headers, params=querystring)

# Create Historical Daily Prices DataFrame
prices_df = pd.DataFrame.from_dict(prices_response.json())
prices_df = prices_df.transpose()
prices_df

Thatโ€™s it!

Now you have the Historical Daily Prices in a pandas DataFrame for a given stock symbol (AAPL in this example).