Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course takes you on an exciting journey through the world of no-code development, focusing on creating a trading bot with Bubble. Starting with an introduction to the platform, you will gain a solid understanding of Bubble’s core features, including how to structure your app’s frontend, backend, and workflows. Each section is designed to guide you through essential no-code skills, from database management to responsive app design. You will learn how to integrate financial data, set up technical indicators, and even implement complex algorithms like linear regression. The course breaks down complex trading concepts into digestible lessons, providing you with practical skills for building a sophisticated trading bot. Through carefully structured lessons, you’ll work on everything from user management and authentication to visualizing financial data on dynamic charts. The course also dives deep into back-end automation and looping logic to ensure your bot runs seamlessly. Whether you’re a beginner or a seasoned professional, this course equips you with the tools to design, develop, and deploy a trading bot entirely without writing a single line of code. By the end of the course, you’ll have hands-on experience in automating trading strategies and using data-driven decisions to optimize your bot’s performance.

Syllabus

Part II: No Code Bot Course

In this module, we will discuss the four foundational pillars of bot design and explain how each one contributes to building a robust trading bot that performs effectively in the market.

Bot: Buy Sell Ability

In this module, we will cover how to set up essential buy and sell features, including order management, and ensure secure authentication for users interacting with your trading bot.

Bot: Pull in Financial Data

In this module, we will explain how to authenticate and pull in financial data, particularly aggregate data (bars), to be used in your trading bot for charting and making informed trading decisions.

Bot: Setting Up Technical Indicators

In this module, we will walk you through the process of setting up key technical indicators like SMA, EMA, MACD, and RSI to strengthen your trading bot's decision-making capabilities.

Bot: Stocks, Crypto & More

In this module, we will guide you through pulling data from multiple financial markets such as stocks, options, forex, and crypto, and explain how to build and adapt strategies based on this data.

Bot: Additional Signals

In this module, we will demonstrate how to work with advanced trading signals and integrate AI-powered news sentiment analysis to refine your trading bot’s decision-making process.

Bot: Charting the Data

In this module, we will cover how to create visual charts, including basic line and bar charts, custom candlestick charts, and volume charts, to help you assess market trends and make better trading decisions.