May 1, 2024
Updated May 10, 2025
18 minute read
Backtesting is a method used to assess the viability of a trading or investment strategy by applying it to historical data. Essentially, it's a simulation that shows how a strategy would have performed if it had been implemented in the past. This process allows traders, analysts, and portfolio managers to evaluate the potential profitability and risk of a strategy before committing actual capital. The core idea is that strategies that performed well historically may have a higher likelihood of success in the future, and conversely, those that performed poorly are less likely to be profitable.
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Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Backtesting.
Provides an in-depth look at the quantitative trading process, with a focus on risk and performance analysis. It covers a wide range of topics, including backtesting, portfolio optimization, and risk management.
Provides a theoretical and practical guide to backtesting financial models. It covers a wide range of topics, including backtesting methodology, performance evaluation, and risk management.
Provides a comprehensive guide to backtesting trading strategies. It covers a wide range of topics, including market data analysis, technical indicators, and risk management.
Provides a comprehensive overview of quantitative finance and risk management. It covers a wide range of topics, including backtesting, financial modeling, and portfolio optimization.
Provides a guide to backtesting trading strategies using the R programming language. It covers a wide range of topics, including data collection, performance evaluation, and risk management.
Provides a practical guide to backtesting trading strategies. It covers a wide range of topics, including data collection, performance evaluation, and risk management.
Provides a guide to backtesting trading strategies using the Python programming language. It covers a wide range of topics, including data collection, performance evaluation, and risk management.
Provides a step-by-step guide to backtesting trading systems. It is written in a clear and concise style, making it accessible to both experienced and novice traders.
Provides a brief overview of backtesting trading strategies. It is written in a clear and concise style, making it accessible to both experienced and novice traders.
Provides a primer on backtesting trading strategies. It covers the basics of backtesting, including data collection, performance evaluation, and risk management.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/n4rzum/backtestin
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