Build a Crypto Trading Bot and Profit 24/7 with Python [Part 2] [EXTENDED + EXTRAS]

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SECTION 1: Welcome! 1 Topic

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What you will learn in this course

SECTION 2: Initial setup 1 Topic

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Intro and important considerations before getting started

SECTION 3: Additional utilities 1 Topic

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Freqtrade additional commands and utilities

SECTION 4: Getting data 1 Topic

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Downloading data and special formats

SECTION 5: Backtesting with external package indicators. 5 Topics

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Installing extras to our bot

Introduction to indicator and strategy 1

Implementation and backtesting (Part 1)

Implementation and backtesting (Part 2)

SECTION 6: Implementing Custom Strategies 3 Topics

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Introduction to indicator and Strategy 2

Implementation and backtesting + Exploration of Indicators

SECTION 7: Implementing custom indicators 4 Topics

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Introduction Strategy 3

Implementation and backtesting 1 (Part 1)

Implementation and backtesting 1 (Part 2)

Additional settings

SECTION 8: Organizing and labeling the trades (tags) 2 Topics

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Implementing tags

SECTION 9: Extending strategies with “Strategy Callbacks” 3 Topics

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Explanation of the “Strategy callbacks”

Implementing the strategy callbacks

Special considerations

SECTION 10: Advanced backtesting 2 Topics

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Running multiple strategies at the same time

Additional metrics and reports

SECTION 11: The HyperOpt (with great power comes great responsibility) 8 Topics

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Implementation 1 – Parameters and indicator generation

Implementation 1 – Guards, Trends, Triggers (Buy)

Implementation 1 – Guards, Trends, Triggers (Sell)

Running the HyperOpt and analyzing its results – (Part 1)

Running the HyperOpt and analyzing its results – (Part 2)

Implementation 2

Running the HyperOpt and analyzing its results

Additional HyperOpt commands and final words about the tool.

SECTION 12: Backtesting (beyond historical data) 1 Topic

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Backtesting (beyond historical data), common errors, how to avoid / solve them, correct use of data.

SECTION 13: Deep analysis using Freqtrade + Google Colab 1 Topic

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Freqtrade + Google Colab (Jupyter Notebooks). Connections, workflow, backtesting / live trading analysis, etc

SECTION 14: Deploying the Bot in the Cloud 6 Topics

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Preparing the server (Part 1)

Preparing the server (Part 2)

Installing Docker and docker compose

Installing Freqtrade on the server

Testing the installation on the server

Migrating our local work to our server

SECTION 15: Freqtrade UI (Graphical User Interface in an optimal and secure environment) 5 Topics

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Initial configuration

Launching the graphical interface

GUI in a custom domain

Securing our interface (Part 1)

Securing our interface (Part 2)

SECTION 16: Course recount and conclusion 1 Topic

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