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Building Technical Indicators in Python

Building Technical Indicators in Python

Loại khoá học: Programming Languages

Learn to use Technical Indicators in your trading Strategies using Python

image
50.000 VND
25 VND
Đầy Đủ Bài Giảng
Học Online Tiện Lợi
Kích Hoạt Nhanh 2-5 Phút
Thanh toán tự động
Được phép tải xuống

Tổng quan

Nội dung khoá học

Đánh giá

Mô tả

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.

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5 sections

Introduction

3 lectures
Introduction to Technical Indicators
05:21
Popular Technical Indicator Libraries
04:44
Installing ta-lib library
03:09

Technical Analysis

16 lectures
Moving Averages
07:36
Moving Average Convergence/Divergence (MACD)
06:18
Bollinger Bands
07:11
Average True Range (ATR) Part 1
04:48
Average True Range (ATR) Part 2
07:13
Relative Strength Indicator (RSI) Part 1
08:51
Relative Strength Indicator (RSI) Part 2
09:44
Introduction to Supertrend
03:44
Supertrend using Google Sheets/Excel
11:29
Supertrend using Python
09:38
Introduction to Renko
05:15
Renko using Brick Size
05:15
Visualize Renko Chart with ATR
04:58
Introduction to ADX
04:52
ADX using Google Sheet/Excel
07:25
ADX using Python
04:57

Price Action

15 lectures
Introduction to Price Action
02:56
About Candlesticks
04:43
Support and Resistance
04:30
Introduction to Pivot Points
02:42
Pivot Points with Python
05:12
Introduction to Doji
03:41
Doji Candles with Python
04:16
Introduction to Hammer Candles
02:47
Hammer Candles with Python
04:10
Introduction to Shooting Star Candle
01:37
Shooting Star Candle with Python
06:15
Introduction to Marubozu candles
01:30
Marubozu with Python
06:41
Harami Candle Pattern
05:58
Engulfing Pattern
02:31

Candlestick Pattern Scanner

5 lectures
Slope
05:04
Trendline
06:19
Pattern Scanner Part 1
11:00
Pattern Scanner Part 2
10:11
Pattern Scanner Part 3
10:32

Strategy Development

5 lectures
Introduction to Strategy Development
04:33
SMA Strategy Backtesting
08:02
Strategy Optimization
05:21
Supertrend + MACD Strategy Part 1
07:03
Supertrend + MACD Strategy Part 2
07:48

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