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Making Automated Trading Bot Using Python

Learn to build an automated trading bot using Python, covering market data analysis, strategy development, API integration, risk management, and execution to create efficient, data-driven trading systems for real-world use.

Making Automated Trading Bot Using Python
cpdacree aoth ukrlp 24hs fullonline 14days

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Course Overview

Become a trained professional from the safety and comfort of your own home by taking Making Automated Trading Bot Using Python . Whatever your situation and requirements, One Education can supply you with professional teaching, gained from industry experts, and brought to you for a great price with a limited-time discount.

One Education has been proud to produce an extensive range of best-selling courses, and Making Automated Trading Bot Using Python is one of our best offerings. It is crafted specially to promote easy learning at any location with an online device. Each topic has been separated into digestible portions that can be memorised and understood in the minimum of time. 

Teaching and training are more than just a job for the staff at One Education; we take pride in employing those who share our vision for e-learning and its importance in today’s society. To prove this, all learning materials for each course are available for at least one year after the initial purchase.  

All of our tutors and IT help desk personnel are available to answer any questions regarding your training or any technical difficulties. 

By completing Making Automated Trading Bot Using Python, you will have automatically earnt an e-certificate that is industry-recognised and will be a great addition to your competencies on your CV.

Whatever your reason for studying Making Automated Trading Bot Using Python, make the most of this opportunity from One Education and excel in your chosen field.

Please be aware that there are no hidden fees, no sudden exam charges, and no other kind of unexpected payments. All costs will be made very clear before you even attempt to sign up. 

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

  • Video lessons
  • Online study materials

Will I receive a certificate of completion?

Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15.

Why study this course

It doesn’t matter if you are an aspiring professional or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.

The Making Automated Trading Bot Using Python is fully available to anyone, and no previous qualifications are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.

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
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Making Automated Trading Bot Using Python
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