RNNs
  • Recurrent Neural Networks and LSTM
  • Forecasting
  • Sequence Data
  • Recurrent Neural Networks
    • Architecture of RNN
    • Training an RNN
    • Vanishing Gradient
  • Long Short Term Memory (LSTM)
    • Architecture of LSTM
    • Walk through of LSTM
  • Gated Recurrent Unit
    • GRU
    • Architecture of GRU
  • Activation Functions
    • Various Activation Functions
  • Regularization of Neural Networks
    • Various Methods in Regularization
  • Applications of RNNs
    • Various Applications of RNN
    • RNNs Movie
  • Forecasting Stock Trends using RNNs
    • Objective
    • Alpha Vantage API
    • Stock Trends Prediction using LSTM.
    • Bidirectional RNN
    • Stock Trends Prediction using Bidirectional RNNs
  • Conclusion
    • Conclusion
    • References
  • License
    • License
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  1. Forecasting Stock Trends using RNNs

Alpha Vantage API

PreviousObjectiveNextStock Trends Prediction using LSTM.

Last updated 5 years ago

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Alpha Vantage is powerful tool, a way to get access of real time stock quotes, historical data, cryptocurrencies and more.It provides APIs for stock market data and documentation of technical indicators.

Alpha Vantage APIs are grouped into four categories: (1) Stock Time Series Data, (2) Physical and Digital/Crypto Currencies (e.g., Bitcoin), (3) Technical Indicators, and (4) Sector Performances. All APIs are realtime and the latest data points are derived from the current trading day

In our predictions, we are going to use the python module alpha_vantage to get the stock data from the Alpha Vantage API.

Further details about the API are found .

here