(Udemy) Automated Trading Bot (Python hands-on bootcamp) (Andreu Marques)

About Course

Learn how to create an automated trading bot with this comprehensive Python hands-on bootcamp. This free course, offered by Udemy, will teach you everything you need to know about automated trading, from Python basics to building your own trading bot that can place orders according to your strategy.

This course is perfect for both traders who want to automate their activity and programmers who are interested in stock trading. The course features over 130 lectures and includes a brief crash course on Python3 and trading basics.

This course also includes a trading bot package ready to use, along with access to real-time data using the yfinance library. This course includes an official 50% off voucher for the first Alpaca monthly fee. You can use Alpaca for commission-free intraday trading with unlimited intraday orders and real-time data.

This course is completely free. Enroll now and start building your automated trading bot!

Keywords: Automated trading, Python, trading bot, stock trading, programming, Udemy, free courses, online courses, trading strategy, real-time data, Alpaca API, commission free trading, intraday orders.

Learn how to build a bot line by line and understand every character of it
Understand every function and every link of the code
Learn how to place automated orders into Alpaca – the free broker
Live coding from scratch! The best way to learn your path
Implement your strategy in the code provided – outsmart your peers!
Test your stock trading strategy with a paper account, without real money
Learn to combine free libraries like Tulipy, Pandas, Beautifulsoup or Numpy
Debug your strategy with Trading view
Implement the specific actions you want the bot to do
Understand the entry and exit points when trading with CFDs

Course Content

1

A Message from the Professor
About the course structure

05:20
Being rich = hard work

04:03
The free and perfect tools

06:39
Our editor Atom

03:35
Version control Github

06:35
Python download (Mac)

04:51
Python download (Windows)

02:28

2

Introduction

03:29
Python libraries

04:50
Iterators for

08:21
Iterators while

07:31
Conditionals if & else

09:44
Logic gates and & or

09:00
Error handling try & except

09:23
Functions and calls to libraries

13:01
Objects and classes (1)

10:02
Objects and classes (2)

07:03
Debugging the code

12:03
Closing and wrap up

00:59

3

Introduction

02:57
Fundamental vs Technical Analysis

04:26
Stocks vs CFDs

04:57
Long and Short positions

04:23
Takeprofit and Stoploss

02:56
Setting a real Stoploss

08:26
Limit and Market orders

09:47
Don’t forget the spread

03:50
Stock data visualization candles

08:56
Technical indicators about

04:39
Exponential Moving Average

08:07
EMA use and interpretation

06:29
Relative Strength Index

07:17
Stochastic Oscillator

08:53
Closing and wrap up

01:15

4

Intro

02:21
Overview

08:04
The Entry Strategy

00:01
About Tradingview

12:13
When to enter (1)

07:57
When to enter (2)

08:05
Open and hold a position

11:55
Closing a position

07:33
Review (1)

13:25
Review (2)

06:14
Closing

01:38

5

6

Introduction

04:32
Create the first bot file

07:06
Building the bot scheme

07:35
Complete your code scheme (1)

10:51
Complete your code scheme (2)

10:35
Complete your code scheme (3)

18:12
A logger to remember (1)

13:34
A logger to remember (2)

14:16
Organizing your code

07:22
Main function run bot

23:53
Link the bot and the library

08:08
Link the bot and the library

08:08
Traderlib control functions (1)

11:54
Traderlib control functions (2)

13:02
Check if tradable function

05:41
Set stoploss function

10:28
Set takeprofit function

04:21
Load historical data function

00:39
Get open positions function

04:08
Submit and cancel order functions

03:59
Check positions function

08:59
The Tulipy libraries

06:33
Importing all the libraries

02:59
Importing all the libraries

02:59
First filter get general trend

18:33
Second filter get instant trend

14:13
Third filter RSI

07:34
Fourth filter Stochastic Oscillator

13:56
Run function scheme clarification and rebuild

12:50
Enter position (1)

12:30
Enter position (2)

11:06
Enter position (3)

14:34
Enter position (4)

07:42
Last check before opening

13:15
Exit position and get out

09:45
Linking everything (1)

11:49
Linking everything (2)

07:35
Linking everything (3)

16:00
Fixing a mistake going Short

04:48
Handling all your variables

18:01
Closing and wrap up

00:50

7

Introduction

02:34
The Alpaca Python API Wrapper

07:28
Initializing the REST API

09:07
Running the program (crash!)

05:39
Integration with check account (1)

07:55
Integration with check account (2)

05:05
Clean open orders function

09:56
Importing the trading library

03:56
Running the main

05:18
Check position function

08:56
Check if asset exists function

07:30
Fetching barset data (theory)

07:01
Fetching barset data (practice)

12:25
Organizing data with Pandas

07:37
Get general trend function (1)

08:02
Reframing the timeframe with Pandas

23:16
Get general trend function (2)

12:40
Get instant trend function

08:29
Get RSI function

06:01
Get Stochastic funcion

09:47
Get current price function

05:01
Get current price function

05:01
Finishing get shares amount

09:13
Opening a position (1)

11:36
Opening a position (2)

08:51
Check the open position

06:55
Cancelling the order (1)

19:58
Cancelling the order (2)

07:33
Making sure we cancelled

03:29
Get average entry price function

09:48
Fixing bugs when getting price

18:28
Check Stochastic crossing

02:29
Holding an open position

11:04
Submitting the exit order

08:07
Closing position and out (1)

07:57
Closing position and out (2)

10:21
Closing and wrap up

01:18

8

Introduction

03:22
Filtering asset by price and volume

06:30
Get the bot ready to trade

03:47
Running the Trading Bot with AAPL

08:52
A real open position

08:08
Debugging and bug fixing

11:40
Fixing one (last) bug

01:46
Running the bot with TSLA

09:31
Discussing EMA implementations

11:42
Closing and wrap up

02:23

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About Course

What Will You Learn?

Course Content

1

A Message from the Professor

About the course structure

Being rich = hard work

The free and perfect tools

Our editor Atom

Version control Github

Python download (Mac)

Python download (Windows)

2

Introduction

Python libraries

Iterators for

Iterators while

Conditionals if & else

Logic gates and & or

Error handling try & except

Functions and calls to libraries

Objects and classes (1)

Objects and classes (2)

Debugging the code

Closing and wrap up

3

Introduction

Fundamental vs Technical Analysis

Stocks vs CFDs

Long and Short positions

Takeprofit and Stoploss

Setting a real Stoploss

Limit and Market orders

Don’t forget the spread

Stock data visualization candles

Technical indicators about

Exponential Moving Average

EMA use and interpretation

Relative Strength Index

Stochastic Oscillator

Closing and wrap up

4

Intro

Overview

The Entry Strategy

About Tradingview

When to enter (1)

When to enter (2)

Open and hold a position

Closing a position

Review (1)

Review (2)

Closing

5

Introduction

Download and install Github

Create a repo

Working with branches

6

Introduction

Create the first bot file

Building the bot scheme

Complete your code scheme (1)

Complete your code scheme (2)

Complete your code scheme (3)

A logger to remember (1)

A logger to remember (2)

Organizing your code

Main function run bot

Link the bot and the library

Link the bot and the library

Traderlib control functions (1)

Traderlib control functions (2)

Check if tradable function

Set stoploss function

Set takeprofit function

Load historical data function

Get open positions function

Submit and cancel order functions

Check positions function