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    Building Technical Indicators In Python

    Posted By: ELK1nG
    Building Technical Indicators In Python

    Building Technical Indicators In Python
    Published 3/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 2.66 GB | Duration: 4h 13m

    Learn to use Technical Indicators in your trading Strategies using Python

    What you'll learn

    Learn how to use Python to implement technical indicators in trading and investing strategies.

    Gain knowledge of various types of technical indicators, such as moving averages, RSI, MACD, Bollinger Bands, and more.

    Develop a comprehensive understanding of the strengths and limitations of technical indicators, and when they should be used in combination with other forms of

    Develop practical skills through hands-on exercises and examples to implement technical indicators in Python.

    Understand the mathematical calculations and algorithms that are used to generate technical indicators.

    Requirements

    Basic knowledge of Python and Stock Trading

    Description

    This course will provide students with a comprehensive understanding of how to use technical indicators and candlestick patterns in stock trading.The course will start by covering the basics of technical indicators, and candlestick patterns including the use of third-party libraries in your strategy. Then, we will dive into the world of technical indicators and candlestick patterns.Some of the most popular technical indicators that we will cover in this course include Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Bollinger Bands, and Fibonacci Retracements. We will also cover popular candlestick patterns such as Doji, Hammer, and Shooting Star.To facilitate the implementation of these indicators and patterns, we will use popular libraries such as Talib, pandas TA, and tulip.  We will also use popular charting libraries like matplotlib, plotly & mplfinance. These libraries will enable students to write code in Python to calculate and plot these indicators and patterns on price charts and provide them with the ability to analyze and make informed trading decisions. We will also include mathematical formulas used in these indicators along with custom code in case you want to develop your own indicator.By the end of the course, students will have a strong understanding of how technical indicators and candlestick patterns work and how to use them to make profitable trades. Students will also have the necessary skills to implement these indicators and patterns using Python, and will be well-equipped to analyze market trends and make informed trading decisions.

    Overview

    Section 1: Introduction

    Lecture 1 Introduction to Technical Indicators

    Lecture 2 Popular Technical Indicator Libraries

    Section 2: Technical Analysis

    Lecture 3 Moving Averages

    Lecture 4 Moving Average Convergence/Divergence (MACD)

    Lecture 5 Bollinger Bands

    Lecture 6 Average True Range (ATR) Part 1

    Lecture 7 Average True Range (ATR) Part 2

    Lecture 8 Relative Strength Indicator (RSI) Part 1

    Lecture 9 Relative Strength Indicator (RSI) Part 2

    Lecture 10 Introduction to Supertrend

    Lecture 11 Supertrend using Google Sheets/Excel

    Lecture 12 Supertrend using Python

    Lecture 13 Introduction to Renko

    Lecture 14 Renko using Brick Size

    Lecture 15 Visualize Renko Chart with ATR

    Lecture 16 Introduction to ADX

    Lecture 17 ADX using Google Sheet/Excel

    Lecture 18 ADX using Python

    Section 3: Price Action

    Lecture 19 Introduction to Price Action

    Lecture 20 About Candlesticks

    Lecture 21 Support and Resistance

    Lecture 22 Introduction to Pivot Points

    Lecture 23 Pivot Points with Python

    Lecture 24 Introduction to Doji

    Lecture 25 Doji Candles with Python

    Lecture 26 Introduction to Hammer Candles

    Lecture 27 Hammer Candles with Python

    Lecture 28 Introduction to Shooting Star Candle

    Lecture 29 Shooting Star Candle with Python

    Lecture 30 Introduction to Marubozu candles

    Lecture 31 Marubozu with Python

    Lecture 32 Harami Candle Pattern

    Lecture 33 Engulfing Pattern

    Section 4: Candlestick Pattern Scanner

    Lecture 34 Slope

    Lecture 35 Trendline

    Lecture 36 Pattern Scanner Part 1

    Lecture 37 Pattern Scanner Part 2

    Lecture 38 Pattern Scanner Part 3

    Section 5: Strategy Development

    Lecture 39 Introduction to Strategy Development

    Lecture 40 SMA Strategy Backtesting

    Lecture 41 Strategy Optimization

    Lecture 42 Supertrend + MACD Strategy Part 1

    Lecture 43 Supertrend + MACD Strategy Part 2

    Traders willing to use Technical Indicators in Algo Bots,Developers willing to develop Trading Bots for others,Students learning Data Science & Algo Trading