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Creating Automated Trading Bot Using Python

Creating Automated Trading Bot Using Python

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Course Highlights

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Creating Automated Trading Bot Using Python has been specially designed to help learners gain a good command of Creating Automated Trading Bot Using Python, providing them with a solid foundation of knowledge to become a qualified professional.

Through this Creating Automated Trading Bot Using Python, you will gain both practical and theoretical understanding of Creating Automated Trading Bot Using Python that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.

Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.

Learning outcome

Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want

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Why should I take this course?

Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.

Requirements

Course Curriculum

Section 01: Introduction

About the course structure

00:05:00
Why working is important?

00:04:00
The free and perfect tools

00:07:00
Our editor: Atom

00:04:00
Version control: Github

00:07:00
Python download (Mac)

00:05:00
Python download (Windows)

00:02:00

Section 02: Python Basics For Trading

Introduction

00:03:00
Python Libraries

00:05:00
Iterators: for

00:08:00
Iterators: while

00:08:00
Conditionals: if & else

00:10:00
Logic gates: and & or

00:09:00
Error handling: try & except

00:09:00
Functions and calls to libraries

00:13:00
Objects and classes (1)

00:10:00
Objects and classes (2)

00:07:00
Debugging the code

00:12:00
Closing and wrap up

00:01:00

Section 03: Trading Basics

Introduction

00:03:00
Fundamental vs Technical Analysis

00:04:00
Stocks vs CFDs

00:05:00
Long and Short positions

00:04:00
Takeprofit and Stoploss

00:03:00
Setting a real Stoploss

00:08:00
Limit and Market orders

00:10:00
Don’t forget the spread

00:04:00
Stock data visualisation: candles

00:08:00
Technical Indicators: about

00:05:00
Exponential Moving Average

00:08:00
EMA use and interpretation

00:06:00
Relative Strength Index

00:07:00
Stochastic Oscillator

00:09:00
Closing and wrap up

00:01:00

Section 04: Bot Code General Structure

Introduction

00:02:00
Overview

00:08:00
The Entry Strategy

00:10:00
About Tradingview

00:12:00
When to enter (1)

00:08:00
When to enter (2)

00:08:00
Open and hold a position

00:12:00
Closing a position

00:08:00
Review (1)

00:06:00
Review (2)

00:13:00
Closing

00:02:00

Section 05: Github Basics

Introduction

00:04:00
Download and install Github

00:01:00
Create a repo

00:10:00
Working with branches

00:13:00

Section 06: Building Your Bot

Introduction

00:05:00
Create the first bot file

00:07:00
Building the bot scheme

00:08:00
Complete your code scheme (1)

00:11:00
Complete your code scheme (2)

00:11:00
Complete your code scheme (3)

00:18:00
A logger to remember (1)

00:14:00
A logger to remember (2)

00:14:00
Organising your code

00:07:00
Main function: run bot

00:24:00
Link the bot and the library

00:08:00
Traderlib control functions (1)

00:12:00
Traderlib control functions (2)

00:13:00
Check if tradable function

00:06:00
Set stoploss function

00:10:00
Set takeprofit function

00:04:00
Load historical data function

00:01:00
Get open positions function

00:04:00
Submit and cancel order functions

00:04:00
Check positions function

00:09:00
The Tulipy libraries

00:07:00
Importing all the libraries

00:03:00
First filter: get general trend

00:19:00
Second filter: get instant trend

00:14:00
Third filter: RSI

00:08:00
Fourth filter: Stochastic Oscillator

00:14:00
Enter position (1)

00:13:00
Enter position (2)

00:11:00
Enter position (3)

00:15:00
Enter position (4)

00:08:00
Last check before opening

00:13:00
Exit position and get out

00:10:00
Linking everything (1)

00:12:00
Linking everything (2)

00:08:00
Linking everything (3)

00:16:00
Fixing a mistake: going Short

00:05:00
Handling all your variables

00:18:00
Closing and wrap up

00:01:00
Run function scheme clarification and rebuild

00:13:00

Section 07: Integrating The Broker API

Introduction

00:03:00
The Alpaca Python API Wrapper

00:07:00
Initialising the REST API

00:09:00
Running the program (crash!)

00:06:00
Integration with check account (1)

00:08:00
Integration with check account (2)

00:05:00
Clean open orders function

00:10:00
Importing the trading library

00:04:00
Running the main

00:05:00
Check position function

00:09:00
Check if asset exists function

00:08:00
Fetching barset data (theory)

00:07:00
Fetching barset data (practice)

00:12:00
Updating the code for the Alpaca API V2 (explanation)

00:03:00
Updating the code for the Alpaca API V2 (implementation)

00:08:00
Organizing data with Pandas

00:06:00
Get general trend function (1)

00:08:00
Reframing the timeframe with Pandas

00:23:00
Get general trend function (2)

00:13:00
Get instant trend function

00:08:00
Get RSI function

00:06:00
Get Stochastic function

00:10:00
Get current price function

00:05:00
Finishing get shares amount

00:09:00
Opening a position (1)

00:12:00
Opening a position (2)

00:09:00
Check the open position

00:07:00
Cancelling the order (1)

00:20:00
Cancelling the order (2)

00:08:00
Making sure we cancelled

00:03:00
Get average entry price function

00:10:00
Fixing bugs when getting price

00:18:00
Check Stochastic crossing

00:02:00
Holding an open position

00:11:00
Submitting the exit order

00:08:00
Closing position and out (1)

00:08:00
Closing position and out (2)

00:10:00
Closing and wrap up

00:01:00

Section 08: Running The Trading Bot

Introduction

00:03:00
Filtering asset by price and volume

00:07:00
Get the bot ready to trade

00:04:00
Running the Trading Bot with AAPL

00:09:00
A real open position

00:08:00
Debugging and bug fixing

00:12:00
Fixing one (last) bug

00:02:00
Running the bot with TSLA

00:10:00
Discussing EMA implementations

00:12:00
Closing and wrap up

00:02:00

Creating Automated Trading Bot Using Python

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This course includes:

Duration:

18 hours, 37 minutes
Access:

1 Year
Units:

136

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