
Security News
Deno 2.4 Brings Back deno bundle, Improves Dependency Management and Observability
Deno 2.4 brings back bundling, improves dependency updates and telemetry, and makes the runtime more practical for real-world JavaScript projects.
tradingview-websocket
Advanced tools
This Python package provides a simple WebSocket client for connecting to the TradingView WebSocket API. It allows users to subscribe to real-time financial data streams and retrieve historical data.
This Python package provides a simple WebSocket client for connecting to the TradingView WebSocket API. It allows users to subscribe to real-time financial data streams and retrieve historical data.
You can install the package via pip:
pip install tradingview_websocket
from tradingview_websocket import TradingViewWebSocket
symbol = "USDEUR"
timeframe = "1D"
candles = 100
ws = TradingViewWebSocket(symbol, timeframe, candles)
ws.connect()
ws.run()
result_data = ws.result_data
print(result_data)
This project is licensed under the MIT License - see the LICENSE file for details.
If you encounter any issues or have questions regarding the package, please feel free to open an issue on GitHub.
FAQs
This Python package provides a simple WebSocket client for connecting to the TradingView WebSocket API. It allows users to subscribe to real-time financial data streams and retrieve historical data.
We found that tradingview-websocket demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Deno 2.4 brings back bundling, improves dependency updates and telemetry, and makes the runtime more practical for real-world JavaScript projects.
Security News
CVEForecast.org uses machine learning to project a record-breaking surge in vulnerability disclosures in 2025.
Security News
Browserslist-rs now uses static data to reduce binary size by over 1MB, improving memory use and performance for Rust-based frontend tools.