Build a Crypto Bot, 100% Functional – Algorithmic Trading

Build a Crypto Bot, 100% Functional – Algorithmic Trading, available at $59.99, has an average rating of 4.4, with 35 lectures, based on 216 reviews, and has 1580 subscribers.

You will learn about Use Python to automate your cryptocurrency trading Backtesting strategies with data directly from the exchange Communicate with the bot through your phone Manage the bot with your phone while trading live Run live simulations with real data Connect to various exchanges, including Binance The best working environment to develop Algorithmic Trading strategies with a free IDE How to use Docker and Docker Compose alongside with Python How to use the Freqtrade open source trading bot This course is ideal for individuals who are Traders or aspiring traders who want to be part of the new market standard that is Algorithmic Trading and Automated Investments using the Python programming language. It is particularly useful for Traders or aspiring traders who want to be part of the new market standard that is Algorithmic Trading and Automated Investments using the Python programming language.

Enroll now: Build a Crypto Bot, 100% Functional – Algorithmic Trading

Summary

Title: Build a Crypto Bot, 100% Functional – Algorithmic Trading

Price: $59.99

Average Rating: 4.4

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $119.99

Quality Status: approved

Status: Live

What You Will Learn

Use Python to automate your cryptocurrency trading
Backtesting strategies with data directly from the exchange
Communicate with the bot through your phone
Manage the bot with your phone while trading live
Run live simulations with real data
Connect to various exchanges, including Binance
The best working environment to develop Algorithmic Trading strategies with a free IDE
How to use Docker and Docker Compose alongside with Python
How to use the Freqtrade open source trading bot

Who Should Attend

Traders or aspiring traders who want to be part of the new market standard that is Algorithmic Trading and Automated Investments using the Python programming language.

Target Audiences

Traders or aspiring traders who want to be part of the new market standard that is Algorithmic Trading and Automated Investments using the Python programming language.

Algorithmic Trading is difficult, and even more so if you are trying to generate real and consistent profits. In this course you will learn everything you need to know to start developing and launching automated trading strategies, while making use of free and open source tools that will not only facilitate your development but also save you a lot of time and money.

Some of the topics you will be learning in this course:

✓ How to perform 100% automated trading in the cryptocurrency market (Bitcoin, Ethereum, Solana, etc …)

✓ How to use the Freqtrade trading bot (free and open source)

✓ How to download and use historical data directly from the exchange

✓ How to develop and implement effective trading strategies

✓ The correct way to backtest your trading strategies

✓ How to interpret the results of an automated backtest

✓ Control your bot from anywhere using your phone

✓ How to test your strategy in a real live market, thus avoiding overfitting.

✓ How to use a high-end IDE for Python development

✓ Programming in Python language for the development of automated trading and investments.

✓ Visualization of financial data, trading indicators, and signals.

✓ and without a doubt, much more!

No previous experience in trading or programming is necessary. Here you will learn everything, including how to use the Python programming language for automated trading and investing.

See you on the other side!

Course Curriculum

Chapter 1: Let's get started!

Lecture 1: Introduction – Contents

Chapter 2: Introduction and Important Fundamentals

Lecture 1: Why Algorithmic Trading

Lecture 2: What is Freqtrade and why you should be using it

Lecture 3: System Requirements

Chapter 3: Establishing an Optimal Work Environment and the Right Workflow

Lecture 1: The Drive tool – Connecting to the cloud

Lecture 2: Installing Python

Lecture 3: Installing the development environment

Lecture 4: Installing Telegram to receive automatic notifications from the Bot

Chapter 4: Docker & Docker-Compose

Lecture 1: What is Docker and why to use it

Lecture 2: Installing Docker and Docker Compose

Chapter 5: Using the Tools

Lecture 1: Tour for the IDE. Usage and main tools

Chapter 6: Waking up the Robot!

Lecture 1: Installing Freqtrade (Universal Installation using Docker Compose)

Lecture 2: Freqtrade structure

Lecture 3: Connecting the Bot to the exchange

Lecture 4: Connecting the Bot with Telegram

Chapter 7: Setting Docker as Interpreter – An Efficient Way to Code

Lecture 1: Setting Docker as a Python Interpreter

Chapter 8: Testing the installation

Lecture 1: Testing the Installation – Putting the Bot to Work!

Chapter 9: Main Bot Settings for Better Performance

Lecture 1: Global Settings (The correct use of the "config" file)

Chapter 10: Backtesting Using Real Data

Lecture 1: Backtesting and some common mistakes

Lecture 2: Important foundations for strategy development

Lecture 3: Important factors to consider

Lecture 4: Downloading financial data directly from the source

Lecture 5: Backtesting in action and how to interpret its results

Lecture 6: Plotting and visualizing the backtest

Chapter 11: Understanding the Strategy Script

Lecture 1: Understanding the Strategy Script

Chapter 12: Strategy Development – How to develop winning strategies

Lecture 1: Strategy 1 – Introduction

Lecture 2: Generating indicators and visualizing them efficiently

Lecture 3: Implementing the strategy, generating signals and filters, running the backtest

Chapter 13: Installing additional packages (Without breaking the bot)

Lecture 1: Installing additional packages and libraries

Chapter 14: Strategy Development Using Additional Packages

Lecture 1: Strategy 2 – Introduction

Lecture 2: Strategy 2 – Implementation [Part 1]

Lecture 3: Strategy 2 – Implementation [Part 2]

Chapter 15: Launching the Bot into the Real World (The Moment of Truth)

Lecture 1: Launching the Bot to work on a live exchange.

Chapter 16: I have my robot up and running!

Lecture 1: BONUS

Lecture 2: Conclusion

Instructors

QuantCopilot team
Learn Trading and Financial Programming the easy way
Frank Rivera
Finance & Technology

Rating Distribution

1 stars: 4 votes
2 stars: 5 votes
3 stars: 21 votes
4 stars: 65 votes
5 stars: 121 votes

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