Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Udemy - Python for Financial Analysis and Algorithmic Trading

    Posted By: ELK1nG
    Udemy - Python for Financial Analysis and Algorithmic Trading

    Udemy - Python for Financial Analysis and Algorithmic Trading
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.62 GB | Duration: 1h 36m

    Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!

    What you'll learn
    Use Matplotlib to create custom plots
    Use NumPy to quickly work with Numerical Data
    Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
    Use ARIMA models on Time Series Data
    Optimize Portfolio Allocations
    Learn about the Efficient Market Hypothesis
    Use Pandas for Analyze and Visualize Data
    Learn how to use statsmodels for Time Series Analysis
    Use Exponentially Weighted Moving Averages
    Calculate the Sharpe Ratio

    Description
    Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!

    This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We'll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!

    We'll cover the following topics used by financial professionals:

    Python Fundamentals

    NumPy for High Speed Numerical Processing

    Pandas for Efficient Data Analysis

    Matplotlib for Data Visualization

    Using pandas-datareader and Quandl for data ingestion

    Pandas Time Series Analysis Techniques

    Stock Returns Analysis

    Cumulative Daily Returns

    Volatility and Securities Risk

    EWMA (Exponentially Weighted Moving Average)

    Statsmodels

    ETS (Error-Trend-Seasonality)

    ARIMA (Auto-regressive Integrated Moving Averages)

    Auto Correlation Plots and Partial Auto Correlation Plots

    Sharpe Ratio

    Portfolio Allocation Optimization

    Efficient Frontier and Markowitz Optimization

    Types of Funds

    Order Books

    Short Selling

    Capital Asset Pricing Model

    Stock Splits and Dividends

    Efficient Market Hypothesis

    Algorithmic Trading with Quantopian

    Futures Trading

    Got Python? If you’re serious about financial markets and algorithmic trading, then you’re going to need it. Python is a computer programming language that is used by institutions and investors alike every day for a range of purposes, including quantitative research, i.e. data exploration and analysis, and for prototyping, testing, and executing trading algorithms. In the recent past, however, only the big institutional players had the money and tech know-how to harness the benefits of algorithmic trading, but the times they are a-changin’. Before we dig deeper into the finer points of Python and how to get started in algorithmic trading with Trality, let’s take a brief trip back to the future.