Detailed quant finance guides to improve your trading

QuantStart has published three separate books on quant trading topics. They're designed to help you go from beginner to expert in algo trading, with detailed descriptions and fully replicable code.

Successful Algorithmic Trading

Struggling To Make Profitable Algo Trading Strategies?

In Successful Algorithmic Trading you'll learn how to find new trading strategy ideas and objectively assess them for your portfolio.

You'll learn about successful backtesting of strategies, performance measurement and industry grade risk management techniques.

The full package comes with all the necessary Python code you need to get started immediately on your algorithmic trading strategies.

Help Me Trade More Profitably »

Advanced Algorithmic Trading

Machine Learning Applied To Real World Quant Strategies

In Advanced Algorithmic Trading you'll learn to implement advanced trading strategies using time series analysis, machine learning and Bayesian statistics with R and Python.

You'll take a detailed look at some of the most popular quant finance libraries for both Python and R, including pandas, scikit-learn, statsmodels, timeseries, rugarch and forecast.

The full package comes with all the necessary Python and R code you need to start applying more advanced trading models and risk management techniques to your portfolio.

Help Me Apply Advanced Trading Methods For Better Results »

C++ For Quantitative Finance

Are C++ Questions Stopping You From Getting The Job?

What if there was a way to learn precisely what you needed without having to spend huge sums on C++ textbooks and weeks of study that didn't help in interview?

With C++ For Quantitative Finance I've distilled the knowledge required to pass a quant job interview into an easy-to-study package, which concentrates on the core concepts required to get the coveted role.

Contains over 250 pages of C++ design patterns for quant finance, including industry-grade techniques that will boost your interviews.

Help Me Pass C++ Quant Interviews »

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