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    Alexander Hagmann
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    Alexander Hagmann's Technical Analysis with Python for Algorithmic Trading Course Review

    Community Insights

    Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python

    Learning Format Online Course
    Subcategory Technical Analysis

    Course Price $74.99

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    Based on: 0 Reviews

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    About Alexander Hagmann

    Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python

    Who Is Alexander Hagmann?

    No bio available.

    Industry

    Trading & Investing

    Total Students

    16,101 students

    Official Website

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    Experience

    Course Language

    English

    Social Channels

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    What Do You Learn in Alexander Hagmann's Course?

    Make proper use of Technical Analysis and Technical Indicators.
    Use Technical Analysis for (Day) Trading and Algorithmic Trading.
    Convert Technical Indictors into sound Trading Strategies with Python.
    Backtest and Forward Test Trading Strategies that are based on Technical Analysis/Indicators.
    Create and backtest combined Strategies with two or many Technical Indicators.
    Create interactive Charts (Line, Volume, OHLC, etc.) with Python and Plotly.
    Visualize Technical Indicators and Trend/Support/Resistance Lines with Python and Plotly.
    Use Pandas, Numpy and Object Oriented Programming (OOP) for Technical Analysis and Trading.
    Load Financial Data from local files and the web.
    Simple Moving Average (SMA) strategies
    Exponential Moving Average (EMA) strategies
    Moving Average Convergence Divergence (MACD) strategies
    Relative Strength Index (RSI) strategies
    Stochastic Oscillator strategies
    Bollinger Bands strategies
    Pivot Point strategies
    Fibonacci Retracement strategies
    mixed strategies (combining two or many indicators)

    What's Included in This Course?

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