This video is about getting live cryptocurrency data via the Binance Socket Manager and store them in a database followed by analyzing this data and build a simple trend following trading strategy with the live data.
Let me know if you find content like this valuable. I will continue to implement some technical indicators and Machine Learning on Cryptocurrencies. I personally think that is pretty interesting. Nevertheless don’t worry I am anyhow also covering stock trading topics 🙂
Disclaimer: This video is not an investment advice and is for educational and entertainment purposes only! Cryptocurrency and automated trading is bearing a high amount of risk which might result in a total loss of your invested capital.
If you want to support me you can register for Binance with this link, but don’t feel forced to:
https://www.binance.com/en/register?ref=17165515
More information on the Binance Socket Manager:
https://python-binance.readthedocs.io/en/latest/websockets.html
Alternatively you can use the websocket library and pick the stream provided in the official Binance API documentation:
https://binance-docs.github.io/apidocs/spot/en/#trade-streams
Set up Binance API video:
Python & SQL:
Cumulating returns:
Video on Trendfollowing:
00:00 – 01:38 Introduction / Disclaimer
01:38 – 05:05 Requesting data using the Binance Socket Manager
05:05 – 08:28 Data Cleaning / Manipulation
08:28 – 11:31 Getting Live Data into a SQLite DataBase
11:31 – 14:30 Requesting Live Data from the SQL DB
14:30 – 16:22 Explanation of Trendfollowing strategy
16:22 – 26:25 Coding the Trading Bot (simplified)
26:25 – 29:41 Test the Bot with real money trade
#Python #Tradingbot #Crypto #Binance
