Live Data output from MT5 to Tradeview

We are building a system to stream live market data from MetaTrader 5 (MT5) to TradingView (TV) for real-time visualization. This involves setting up a data pipeline where MT5 periodically sends HTTP  POST  requests containing market data (e.g., OHLC values) to a Flask server. The Flask server acts as a bridge, processing the received data and forwarding it in the appropriate format to TradingView.

Workflow

1. MetaTrader 5:

   • Uses the  WebRequest  function in an MQL5 script to send JSON payloads (market data) at regular intervals.
   • The script is event-driven, using  OnTimer  to automate data sending.
   • Handles HTTP request status and logs errors for troubleshooting.

2. Flask Server:

   • Listens for incoming  POST  requests on a specific endpoint (e.g.,  /webhook ).
   • Processes the received data and prepares it for integration with TradingView.
   • Confirms successful receipt of data with appropriate logging.

3. TradingView:

   • Displays the live market data using its webhook or custom script integration to plot charts in real-time.
   • Updates dynamically based on the data streamed from the Flask server.

End Goal

To establish a reliable, automated pipeline that streams live market data from MT5 to TV, enabling real-time charting and enhanced visualization for trading analysis.