Trading-Bot with Python

Trading-Bot with Python, available at $49.99, has an average rating of 4.15, with 45 lectures, based on 17 reviews, and has 137 subscribers.

You will learn about Implement trading algorithms Develop investing strategies Download, transform and analyse stock market data Python programming This course is ideal for individuals who are People interested in investing in the stock market or People that want to implement trading algorithms or Programmers who want to submerge into the trading world or People interested in using Python to optimize their tradings It is particularly useful for People interested in investing in the stock market or People that want to implement trading algorithms or Programmers who want to submerge into the trading world or People interested in using Python to optimize their tradings.

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Summary

Title: Trading-Bot with Python

Price: $49.99

Average Rating: 4.15

Number of Lectures: 45

Number of Published Lectures: 45

Number of Curriculum Items: 45

Number of Published Curriculum Objects: 45

Original Price: 99.99

Quality Status: approved

Status: Live

What You Will Learn

Implement trading algorithms

Develop investing strategies

Download, transform and analyse stock market data

Python programming

Who Should Attend

People interested in investing in the stock market

People that want to implement trading algorithms

Programmers who want to submerge into the trading world

People interested in using Python to optimize their tradings

Target Audiences

People interested in investing in the stock market

People that want to implement trading algorithms

Programmers who want to submerge into the trading world

People interested in using Python to optimize their tradings

Would you like to learn how to develop bots to invest in the stock market? Or would you like to optimize your strategies?

In this course we will teach you how to fulfil these objectives and more! We are going to learn how to program in Python from scratch and build our knowledge until we are able to: 1) download data and transform it according to our wants and needs; 2) develop and backtest strategies; and 3) develop trading bots. This course is divided in 7 different modules:

1. Introduction to the course. In this first section we are going to explore the outline of the course, how to use google colab and other basic pieces of information needed to start the course.

2. Introduction to Python. Here we are going to learn the essential elements of programming like what are variables, classes and functions.

3. Pandas and other useful packages. We will learn how to use pandas and other packages that will allow us to download and manipulate data.

4. Use of Alpaca’s API. Where we will learn to download financial data and place buy/sell orders.

5. Financial indicators. Here we will learn the theory behind some financial indicators and how to calculate them.

6. Backtesting. In this section we are going to use financial data to optimize the parameters of our strategies in order to earn as much money as we can.

7. Creating a trading bot. Finally we are going to learn how to create a trading bot that will invest on its own without our constant supervision.

Course Curriculum

Chapter 1: Course introduction

Lecture 1: Course overview

Lecture 2: Use of google colab

Lecture 3: Creating and Alpaca account

Chapter 2: Introduction to Python

Lecture 1: Variables

Lecture 2: Handling strings

Lecture 3: Lists

Lecture 4: Dictionaries

Lecture 5: Conditional statements

Lecture 6: Loops

Lecture 7: Keyboard input and use of try-except statements

Lecture 8: Working with files

Lecture 9: Python functions

Lecture 10: Python classes and methods

Chapter 3: Use of Pandas and other important libraries

Lecture 1: Introduction to Pandas

Lecture 2: Pandas dataframes

Lecture 3: Data filtering

Lecture 4: Data clustering

Lecture 5: A real case of data clustering

Lecture 6: Numpy package overview

Lecture 7: Json package overview

Lecture 8: Request package overview

Chapter 4: Use of Alpacas API

Lecture 1: Basic queries

Lecture 2: Creating buy/sell orders

Lecture 3: Advanced orders

Lecture 4: Extracting data from Alpaca

Lecture 5: Data processing with pandas

Chapter 5: Indicators

Lecture 1: What are technical indicators?

Lecture 2: Calculating indicators with an API

Lecture 3: Calculus of SMA without and API and use of Pandas rolling function

Lecture 4: Bollinguer bands

Lecture 5: Stocastic indicator

Chapter 6: Backtesting

Lecture 1: What is backtesting?

Lecture 2: Setting up our first cerebro

Lecture 3: Import data

Lecture 4: Adding a strategy

Lecture 5: Operations and notifications

Lecture 6: Adding comissions and plotting

Chapter 7: Creating a trading bot

Lecture 1: Steps for bot development

Lecture 2: Backtesting SMAs

Lecture 3: Backtesting RSIs

Lecture 4: Backtesting crossover of SMAs

Lecture 5: Combining the use of SMAs and RSI

Lecture 6: Overview of strategy results

Lecture 7: Strategy implementation

Lecture 8: Using the API

Instructors

Giovanni Bonaventura
Ingegnere Aerospaziale , Big Data Analysis

Migue Hernanz Koers
Biotechnologist and trader

Kevin Meneses González
Especialista en Python, Análisis de datos y SAP

Rating Distribution

1 stars: 0 votes

2 stars: 3 votes

3 stars: 2 votes

4 stars: 7 votes

5 stars: 5 votes

Frequently Asked Questions

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Can I take my courses with me wherever I go?

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