Automated Stock Trading: Asset Allocation and Execution Strategies

Building an automated trading system removes emotional decision-making and allows you to execute disciplined market strategies consistently. This text-based course guides you through constructing systematic trading rules, balancing portfolios through automated asset allocation, and deploying algorithmic short-term strategies across international markets. What you'll learn: - Understand core stock market mechanics, trading APIs, and automated order types - Design algorithmic asset allocation models to manage long-term portfolio risk - Develop rule-based short-term trading strategies based on momentum and volatility indicators - Apply robust backtesting methodologies to evaluate historical strategy performance - Implement position sizing techniques and automated stop-loss risk management - Configure automated scripts to stream market data and trigger trade executions You will begin with essential trading terminology and foundational market concepts before exploring quantitative indicators, strategy logic, and execution code. Designed for beginners and aspiring quantitative investors, this course requires no advanced financial background or prior automated trading experience. Start reading today to build and deploy your own structured trading systems.