Statistics and probability for Quantitative finance

You already have knowledge in finance and you want to go deeper to monetize and diversify your knowledge. You already have some trading knowledge and you want to learn about quantitative trading/finance. You are simply a curious person who wants to get into this subject.

If you answer at least one of these questions, I welcome you to this course. All the applications of the course will be done using Python. However, for beginners in Python, don't panic.

There is a FREE python crash course included to master Python. In this course, you will learn how to use statistics and probability to make your strategies stronger. You will learn the statistical methods used by the quantitative analyst to find the optimal stop loss and take profit and to perform a risk analysis (VaR).

You will use the power of conditional probability to increase the beneficial trade to 70%. Through this example, you will learn and understand a lot of statistic and probability concepts used by portfolio managers and professional traders: Descriptive statistics: mean, variance, standard deviation, covariance, correlation, skewness, kurtosis,. Probability: random variable, union, intersection, independence, conditional probability,.