Algorithmic Trading with Real Python Hands-On Examples

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[ FreeCourseWeb.com ] Udemy - Algorithmic Trading with Real Python Hands-On Examples
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Content in this course-en_US.srt (3.1 KB)
    • 1. Content in this course.mp4 (15.7 MB)
    2. Backtesting Strategy with technical indicator
    • 1. Process of data preparation for EMA backtesting-en_US.srt (7.4 KB)
    • 1. Process of data preparation for EMA backtesting.mp4 (36.1 MB)
    • 2. EMA backtesting strategy with python-en_US.srt (10.4 KB)
    • 2. EMA backtesting strategy with python.mp4 (60.6 MB)
    • 3-ema-Channel-Strategy-Backtesting-c.ipynb (3.0 MB)
    • 3. MACD backtesting strategy-en_US.srt (4.2 KB)
    • 3. MACD backtesting strategy.mp4 (23.0 MB)
    • 4. Bollinger Band backtesting strategy-en_US.srt (10.1 KB)
    • 4. Bollinger Band backtesting strategy.mp4 (63.4 MB)
    • 5. Bollinger Band + ADX backtesting strategy-en_US.srt (6.5 KB)
    • 5. Bollinger Band + ADX backtesting strategy.mp4 (40.7 MB)
    • 6. 3 EMA channels backtesting strategy-en_US.srt (7.3 KB)
    • 6. 3 EMA channels backtesting strategy.mp4 (49.2 MB)
    • Bollinger-Band-ADX-Strategy-Backtesting-c.ipynb (4.1 MB)
    • Bollinger-Band-Strategy-Backtesting-c.ipynb (3.1 MB)
    • EMA-Strategy-Backtesting-c.ipynb (1.8 MB)
    • MACD-Strategy-Backtesting-c.ipynb (2.4 MB)
    3. Parameter Optimization
    • 1. MACD Parameter Optimization-en_US.srt (3.2 KB)
    • 1. MACD Parameter Optimization.mp4 (20.6 MB)
    • MACD-Parameter-Optimization-c.ipynb (21.2 KB)
    4. Simulation backtesting with stocks in NASDAQ100
    • -Simulation-with-NASDAQ100-3-ema-Channel-Strategy-Backtesting-c.ipynb (938.4 KB)
    • 1. Simulation 3 EMA channels strategy with stocks in NASDAQ100-en_US.srt (12.1 KB)
    • 1. Simulation 3 EMA channels strategy with stocks in NASDAQ100.mp4 (93.7 MB)
    • Nasdaq100.xlsx (16.2 KB)
    5. Screening stocks system
    • 1. 3 EMA channels screening system-en_US.srt (3.1 KB)
    • 1. 3 EMA channels screening system.mp4 (13.5 MB)
    • 2. Oversold RSI screening system-en_US.srt (3.9 KB)
    • 2. Oversold RSI screening system.mp4 (25.0 MB)
    • 3-ema-channels-screening-c.ipynb (13.0 KB)
    • Nasdaq100.xlsx (16.2 KB)
    • RSI-Oversold-Scanning-c.ipynb (14.2 KB)
    • sp500.xlsx (49.5 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Algorithmic Trading with Real Python Hands-On Examples



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 457 MB | Duration: 1h 26m
What you'll learn
Backtesting strategy with technical indicators
Parameter Optimization
Simulation Backtesting with stocks in NASDAQ100
Screening stock system with NASDAQ100, S&P500
Requirements
Basic python programming
Description
In this course you will learn to build your own backtesting system from scratch and illustrating with plotly library. We mainly use technical indicator for backtesting such as Exponential Moving Average (EMA), Moving average convergence divergence (MACD), Bollinger Band, Bollinger Band + ADX and 3 EMA channels.

We mainly use functions relating to pandas and DataFrame being able to deal with large time-series data. For illustrate result, we use plotly library which is beautiful and easy to understand.

During learning backtesting, you will learn many performance measurement. For example, win rate, compound annual growth rate (CAGR) , expected returns and maximum drawdown.

Next, you will learn to do parameter optimization and compare many performance measurement in each parameter.



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Algorithmic Trading with Real Python Hands-On Examples

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457.1 MB
seeders:11
leechers:6
Algorithmic Trading with Real Python Hands-On Examples

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