Learning by doing! Apply statistics on Trading and quantitative finance. (Forex, crypto, stocks )

You already have knowledge in finance and you want to go deeper to monetize and diversify your knowledge?

What you’ll learn

- Find optimal stop loss & take profit using probability distribution.
- Understand Student test and apply it to portfolio management problem.
- Use probability distribution to compute the Value at Risk (VaR).
- Compute correlation between assets properly.
- Understand the main financial statistics: mean, variance, standard-deviation, skewness, kurtosis, covariance, correlation, ….
- Compute conditional probability to create a strategy with 70% beneficial trades.
- Master combinatorial statistics.
- Learn the basis of probability: random variables, intersection, union, independency, conditional probability ….
- Learn bayes theorem.
- Learn the most used law of probability in finance: Bernoulli, Binomial, Poisson, Uniform, Exponential, Normal,….
- Learn how statistical test works.

Course Content

- Introduction –> 1 lecture • 1min.
- Descriptive statistics –> 18 lectures • 54min.
- Exercise: Compute risk/return, correlation asset PROPERLY –> 3 lectures • 10min.
- Combinatorial statistics –> 7 lectures • 18min.
- Exercise: Find the number of combinations between forex pairs –> 3 lectures • 8min.
- Probability –> 9 lectures • 26min.
- Exercise: From 50% to 70% of good trade? –> 6 lectures • 38min.
- Law of probability –> 9 lectures • 26min.
- Exercise: Find the best stop loss & take profit / Compute the VaR –> 3 lectures • 13min.
- Hypothesis test –> 5 lectures • 10min.
- Exercise: You trading strategy really works or it’s randomness? / Bonus –> 3 lectures • 12min.
- How to go deeper in the algorithmic trading field? –> 1 lecture • 1min.
- BONUS 1: Python basics –> 15 lectures • 1hr 25min.
- BONUS 2: Python for data science –> 10 lectures • 1hr 7min.

Requirements

- Nothing. Just be motivated to learn the quant technics.

**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, …**Hypothesis Test:**understand the process, student test, ad-fuller test, …

**Why this course and not another?**

- This is not a programming course nor a trading course or a statistic course. It is a course in which programming and statistic are used for trading.
- This course is not created by a data scientist but by a degree in mathematics and economics specializing in mathematics applied to finance.
- You can ask questions or read our quantitative finance articles simply by registering on our free Discord forum.

**Without forgetting that the course is satisfied or refunded for 30 days. Don’t miss an opportunity to improve your knowledge of this fascinating subject.**