Making Automated Trading Bot Using Python

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Making Automated Trading Bot Using Python

Level: Intermediate
Modules: 136 Modules
Duration: 18 hours, 39 minutes
Students: 2

Learn how to create an automated trading bot using Python with this comprehensive course. Master Python basics, understand trading fundamentals, build and integrate the bot with a broker API, and run it effectively.

Learning Outcomes:

Gain proficiency in Python programming for trading purposes.
Understand the fundamental concepts of trading and market dynamics.
Build a structured trading bot using Python and Github version control.
Integrate the bot with a broker API for real-time trading functionality.
Successfully run and manage the automated trading bot for efficient execution.

Why buy this Making Automated Trading Bot Using Python?

Unlimited access to the course for forever
Digital Certificate, Transcript, student ID all included in the price
Absolutely no hidden fees
Directly receive CPD accredited qualifications after course completion
Receive one to one assistance on every weekday from professionals
Immediately receive the PDF certificate after passing
Receive the original copies of your certificate and transcript on the next working day
Easily learn the skills and knowledge from the comfort of your home

Certification

After studying the course materials of the Making Automated Trading Bot Using Python there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.

Who is this course for?

This Making Automated Trading Bot Using Python course is ideal for

Students
Recent graduates
Job Seekers
Anyone interested in this topic
People already working in the relevant fields and want to polish their knowledge and skill.

Prerequisites

This Making Automated Trading Bot Using Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Making Automated Trading Bot Using Python was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Making Automated Trading Bot Using Python is a great way for you to gain multiple skills from the comfort of your home.

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	00:23:00
	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)	00:12:00
	Linking everything (3)	00:15:00
	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