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About This Course
- Overview
Educational accomplishments and income are closely correlated. Education and skill with endorsed certificates from credible and renowned authorities typically lead to better jobs with attractive salaries. Educated and skilled workers also have lower rates of unemployment. Therefore, skills and endorsed certificates to showcase are essential for people early in their careers.
- Why Choose Imperial Academy?
Imperial Academy offers this premium Making Automated Trading Bot Using Python course to ensure security in your career. In addition, this comprehensive Making Automated Trading Bot Using Python course will assist you in building relevant skills that will help you find a job in the related sectors. Also, the Certificate you’ll get after completing the Making Automated Trading Bot Using Python will put your head and shoulder above others in front of potential employers.
Become the person who would attract the results you seek. What you plant now, you will harvest later. So, grab this opportunity and start learning Making Automated Trading Bot Using Python!
- What Imperial Academy Offers You
- QLS/ CPD/ CIQ Accredited
- 24/7 Assistance from our Support Team
- 100% Online
- Self-paced course
- Bite-sized Audio-visual Modules
- Rich Learning Materials
- Developed by Industry Specialists
- Career Guidance
- Course Design
Learn at your own pace from the comfort of your home, as the rich learning materials of this premium course is accessible from any place at any time. The advanced course curriculums are divided into tiny bite-sized audio-visual modules by industry specialists with years of experience behind them.
- Audio-visual Lessons
- Online Study Materials
Course Curriculum
-
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
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Version control: Github
00:07:00
-
Python download (Mac)
00:05:00
-
Python download (Windows)
00:02:00
-
Introduction
00:03:00
-
Python Libraries
00:05:00
-
Iterators: for
00:08:00
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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
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Introduction
00:03:00
-
Fundamental vs Technical Analysis
00:04:00
-
Stocks vs CFDs
00:05:00
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Long and Short positions
00:04:00
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Takeprofit and Stoploss
00:03:00
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Setting a real Stoploss
00:08:00
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Limit and Market orders
00:10:00
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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
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Stochastic Oscillator
00:09:00
-
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
-
Introduction
00:04:00
-
Download and install Github
00:01:00
-
Create a repo
00:10:00
-
Working with branches
00:13:00
-
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
-
Run function scheme clarification and rebuild
00:13:00
-
Closing and wrap up
00:01:00
-
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)
00:13:00
-
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
-
Introduction
00:03:00
-
Filtering asset by price and volume
00:07:00
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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
00:09:00
-
Discussing EMA implementations
00:12:00
-
Closing and wrap up
00:02:00
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