Algorithmic trading, also known as automated trading or black-box trading, is the use of computer algorithms to automatically make trades on financial markets. These algorithms are based on a set of rules and instructions, and they are designed to execute trades in a fast and efficient manner. Algorithmic trading allows traders to make large numbers of trades quickly and accurately, and it can be used to trade a wide range of financial instruments, including stocks, bonds, currencies, and commodities. Algorithmic trading is commonly used by large financial institutions and hedge funds, and it has become increasingly popular in recent years due to advances in technology and the availability of large amounts of data.
This tutorial develops a Twitter bot in Python that will generate automated trading signals. The bot will pull real-time price data on various cryptocurrencies (Bitcoin, Ethereum, Doge, etc.) from the crypto exchange Gate.io and analyze it using predefined rules. Whenever the bot detects a relevant price change, it automatically posts a tweet via Twitter. Simple … Read more
