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    3. Python for Algorithmic trading: Technical analysis strategy

    Python for Algorithmic trading: Technical analysis strategy

    Posted By: lucky_aut
    Date: 13 Oct 2021 04:42:55
    Python for Algorithmic trading: Technical analysis strategy

    Python for Algorithmic trading: Technical analysis strategy
    Duration: 3h 32m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.56 GB
    Genre: eLearning | Language: English

    Data Importation, Modelisation, Algorithmic Trading, Portfolio management, MT5 Live Trading using Python, Bot included.

    What you'll learn:
    MT5 Live Trading using Python
    Improve your Python skills
    Create Algorithmic Trading strategies
    Plot financial data
    Vectorized Backtesting
    Statistics like Sharpe ratio, Sortino ratio, beta
    Combine Trading strategies using Portfolio Management Technic
    Manage data using Pandas
    Data Cleaning using pandas
    Python programmation
    Compare / Choose trading strategies
    Quantify the risk of a strategy
    Sortino portfolio Optimization
    Minimum Variance Optimization
    Mean Variance Skewness Kurtosis Optimization (not famous but one of the most used)
    Import finance data from the broker
    Import financial data from Yahoo Finance
    Put your strategy on a VPS

    Requirements:
    Some python knowledge are welcoming but not necessaryProfessional in finance

    Description:
    You already have knowledge in python and you want to monetize and diversify your knowledge?
    You already have some trading knowledge and you want to learn about algorithmic trading?
    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. For beginners in python, don't panic there is a python course (small but condensed) to master this python knowledge.
    In this course, you will learn how to program strategies from scratch. Indeed, after a crash course in Python, you will learn how to implement a strategy based on one of the most used technical indicators: the RSI. You will also learn how to combine strategies to optimize your risk/return using the portfolio techniques like Sortino portfolio optimization, min variance optimization, and Mean-Variance skewness kurtosis Optimization.
    Once the strategies are created, we will backtest them using python. So that we know better this strategy using statistics like Sortino ratio, drawdown the beta… Then we will put our best algorithm in live trading.

    You will learn about tools used by both portfolio managers and professional traders:
    Live trading implementation
    Import the data
    Some reference algorithms
    How to do a backtest
    The risk of a stock
    Python
    What is a long and short position
    Numpy
    Pandas
    Matplotlib
    Why do you must diversify your investments
    Sharpe ratio
    Sortino ratio
    Alpha coefficient
    Beta coefficient
    Sortino Portfolio Optimization
    Min variance Optimization
    Mean-Variance skewness kurtosis Optimization

    Why this course and not another?
    This is not a programming course nor a trading course. It is a course in which programming is used for trading.
    This course is not created by a data scientist but by a degree in mathematics and economics specialized in Machine learning for 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.

    Who this course is for:
    Everyone who wants to learn MT5 live trading using python
    Students in finance
    Professional in finance
    Professional in data science
    Students in data science

    More Info
    UPWARDS