Deep dive into the development and functionality of an automated trading bot. Breaking down the technical architecture and trading logic behind the bot, such as EMA, MACD, stop-loss, and take-profit strategies. See what I did to refine the bot over time and the reasoning behind each decision.
In the Python tutorials I explain hoe to the use APIs, handle real-time data, and store and analyze trading performance. The video's exploring data logging in CSV, using libraries and error handling in trading environments.
I will also explain how to automate trading on the Nasdaq or other markets using data from one-minute candles, simulating trading strategies with historical data, and understanding the impact of various technical indicators.
And in the maintime you will also see the evolution of the bot—from its initial development to testing, troubleshooting, refining strategies, and optimizing profit.