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QuantInsti – Crypto Trading Strategies: Intermediate

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QuantInsti – Crypto Trading Strategies: Intermediate
Crypto Trading Strategies: Intermediate

Perfect for programmers and quants who wish to explore trading opportunities in Cryptocurrency. Understand Cryptocurrencies, risks involved, how to Crypto trade and create 3 different intraday trading strategies in Python. This is part-1 of the 2-course bundle in Cryptocurrencies.
LIVE TRADING

Explain how Cryptocurrencies work
Create and backtest three different types of strategies:

1. Ichimoku Cloud strategy

2. Calendar Anomalies

3. Divergence strategy
Explain risk associated with intraday trading
Paper trade and live trade your strategies from your local computer

SKILLS COVERED
Crypto Trading

How Cryptocurrency trading works

Cryptotrading bots

3 different strategies
Technical skills

Ichimoku cloud

Moving average crossover

Relative strength index

Aroon up and down
Python

TA-Lib

Matplotlib

Pandas
PREREQUISITES

No experience in Python programming is required to learn the concepts and logic behind the strategies. But if you want to be able to code and implement the strategies in Python, experience in working with Dataframes is required. These skills are covered in the course ‘Python for Trading’.
SYLLABUS
Introduction to Cryptocurrencies

Before moving on to cryptocurrency trading, it is important to understand the basic concepts of cryptocurrencies. This includes topics like crypto wallets, exchanges, transactions, trading bots etc.

Prologue 2m 19s

Quantra Features and Guidance 3m 48s

What Are Cryptocurrencies? 2m 10s

Transactions 2m

Crypto Wallets 4m 7s

Confirmation 2m

E-Wallets Have.. 2m

Transaction Fee 2m

Wallet Risk 2m

What Are Trading Bots? 4m 11s

Bots 2m

Exchange 2m
Trading Using Calendar Anomalies

In this section, learn how to perform cryptocurrency trading using the calendar anomalies strategy, along with its Python code and strategy returns.

Calendar Anomalies Strategy Overview 1m 53s

Calendar Anomalies 2m

Calendar Anomalies in Cryptocurrency 2m

Day of the Week Anomaly 2m

The Best Day to Buy the Bitcoin 2m

The Best Day to Sell the Bitcoin 2m

Strategy Code Overview 1m 17s

How to Use Jupyter Notebook? 1m 54s

The Day of the Week Strategy 10m

Frequently Asked Questions 10m

Load Data From Csv File 2m

Daily Percent Change 2m

The Highest Sharpe Ratio Day 5m

Strategy Returns 5m
Ichimoku Cloud

In this section, you will learn how to code and backtest Ichimoku Cloud cryptocurrency trading strategy using Python and determine the strategy returns.

Ichimoku Cloud 2m 22s

Ichimoku Cloud 2m

Conversion Line 2m

Leading Span A 2m

Cloud 2m

Trend 2m

Moving Average Crossover 2m

Ichimoku Cloud Strategy 10m

Rolling High Value 5m

Generating Buy Signals 5m

Strategy Returns 5m
Divergence Strategy

In this section, you will learn how to trade the divergence between RSI and price series and the risks associated with intraday trading using AROON indicator and determine the strategy returns. At the end of the course, you will be provided with the downloadable strategy codes.

Divergence Strategy 3m 33s

The Spread 2m

Aroon Up Value 2m

Divergence Strategy 10m

Upspread 2m

Calculate the RSI 5m

Calculate the Aroon Values 5m

Aroon of RSI 2m

Calculate the Spread 5m

The Threshold of Spread 2m

Generate Buy Signals 5m

Plot the Strategy Returns 5m

Summary 1m 29s

Test on Cryptocurrency Trading Strategies 10m
Run Codes Locally on Your Machine

Learn to install the Python environment in your local machine.

Python Installation Overview 2m 18s

Flow Diagram 10m

Install Anaconda on Windows 10m

Install Anaconda on Mac 10m

Know your Current Environment 2m

Troubleshooting Anaconda Installation Problems 10m

Creating a Python Environment 10m

Changing Environments 2m

Quantra Environment 2m

Troubleshooting Tips For Setting Up Environment 10m

How to Run Files in Downloadable Section? 10m

Troubleshooting For Running Files in Downloadable Section 10m
Live Trading on IBridgePy

Section Overview 2m 2s

Live Trading Overview 2m 41s

Vectorised vs Event Driven 2m

Process in Live Trading 2m

Real-Time Data Source 2m

Code Structure 2m 15s

API Methods 10m

Schedule Strategy Logic 2m

Fetch Historical Data 2m

Place Orders 2m

IBridgePy Course Link 10m

Additional Reading 10m

Frequently Asked Questions 10m
Paper and Live Trading

In this section, a live trading strategy template will be provided to you. You can tweak the strategy template to deploy your strategies in the live market!

Template Documentation 10m

Template Codes 2m
Downloadable Resources

You can download the Python strategy codes at the end of the course.

Python Codes and Data 2m
ABOUT AUTHOR

QuantInsti®

QuantInsti is the world’s leading algorithmic and quantitative trading research & training institute with registered users in 190+ countries and territories. An initiative by founders of iRage, one of India’s top HFT firms, QuantInsti has been helping its users grow in this domain through its learning & financial applications based ecosystem for 10+ years.
WHY QUANTRA®?

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Get taught by practitioners
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