Build a Robo-Advisor with Python (From Scratch)

• Measure returns and estimate the benefits of robo-advisors
• Use Monte Carlo simulations to build and test financial planning tools
• Construct diversified, efficient portfolios using optimization and other methods
• Implement and evaluate rebalancing methods to track a target portfolio over time
• Decrease taxes through tax-loss harvesting and optimized withdrawal sequencing
• Use reinforcement learning to find the optimal investment path up to, and after, retirement

Automated “robo-advisors” are commonplace in financial services, thanks to their ability to give high-quality investment advice at a fraction of the cost of human advisors. Build a Robo-Advisor with Python (From Scratch) teaches you to develop one of these powerful, flexible tools using popular and free Python libraries. You’ll master practical Python skills in demand in financial services, and financial planning skills that will help you take the best care of your money. All examples are accompanied by working Python code, and are easy to adjust for investors anywhere in the world.