Signals: Plugging in the data from Alpha Vantage

This script uses data from AlphaVantage using raw queries which do not require any extra library.

pip install numerapi tqdm

numerapi and tqdm (to check progress of downloads) are needed.

key = "<ALPHAVANTAGE API KEY>" this needs to be set before running the script.

AlphaVantage has a free key with a limit of 5 API calls per minute. For a limit of 75 calls per minute, you can pay $50 USD per month for a premium key. This script was created for use with the 75 calls per minute plan so it would work. This takes around 13 mins to load all US stocks.

Alpha Vantage offers various types of data including stocks, cryptocurrencies, and technical indicators. Documentation.

Data Loading

Since the API has a rate limit of calls per minute, this script provides two functions for loading the data.

  • Sequential

    • This may take over an hour to load all available tickers.
    • Safe and loading function can be stopped.
    • full_data = load_data(tickers, "full_data.csv", threads=False)
  • Parallel

    • uses threads from Python’s concurrent module.
    • much faster loading (~13 mins for all US tckers)
    • execution is not stoppable.
    • full_data = load_data(tickers, "full_data.csv", threads=True)
    • Thanks to Jordi Villar for supercharging the parallel execution and bringing it to ~13 mins.

Feature Generation

  • Since Alpha vantage has different types of data resolutions, this script uses weekly data (OHLC) to generate features.
  • Some features are simple moveing average and exponential moving average of periods [2, 5, 21, 50, 200].

I’d like to thank @_liamhz for the encouragement and feedback :slightly_smiling_face:. All errors remain mine.