Algorithmic Trading with Apache Flink | Hands-on guide

Focused View

Ganiyu Yusuf

4:52:46

134 View

1. Introduction

1. Introduction and Background.mp4

03:02

2. Stock Trading Strategies.mp4

03:39

3. Process involved in Buying or Selling Stocks.mp4

03:24

2. System Architecture and Installations

1. System Architecture.mp4

03:09

2. Installation, Setup and Configuration.mp4

01:59

3. Historical Data Producers

1. Historical Prices Producer.mp4

17:47

2. Market News Producer.mp4

51:07

4. Implementing Custom Trading Algorithms

1. Integrating FlinkSQL for Algorithm Orchestration.mp4

17:22

2. Implementing Custom Algorithm.mp4

39:48

3. Creating Trading Signals with Market News and Prices.mp4

15:27

4. Writing Trading Signals to Kafka for Consumption.mp4

06:43

5. Finishing up Kafka Consumption implementation.mp4

07:06

6. Creating Trading Signals Handler and Consumer.mp4

11:08

7. Creating Trading Signal Consumer Hook.mp4

06:29

8. Sending Trading Signals to Slack.mp4

13:25

9. Triggering BUY and SELL Signals in the Market.mp4

10:47

5. Backtesting and Algorithm Tests

1. Algorithm 1 - AllWeatherStrategy.mp4

08:42

2. Algorithm 2 - GoldenCrossStrategy.mp4

03:39

3. Algorithm 3 - MomentumStrategy.mp4

04:41

4. Implementing AllWeather Backtesting Algorithm.mp4

08:38

5. Finishing up AllWeather Backtesting Algorithm.mp4

19:36

6. Implementing GoldenCross Backtesting Algorithm.mp4

12:21

7. Implementing the MomentumStrategy Backtesting Algorithm.mp4

09:40

6. Verification of Results and Portfolio Review

1. Market Trade Verification.mp4

04:42

2. Verification of Past Results on Advanced Markets.mp4

06:45

7. Resources and Next Steps

1. Full Code and Next Steps.mp4

01:40

Description

A Complete HANDS-ON and In-depth practical course on a Algorithmic Trading with a tool better than Spark - Apache Flink

What You'll Learn?

Learn a cutting edge and Apache's latest Stream processing framework which is much faster than Hadoop and Spark - Apache Flink with its APIs
Understand the basics of algorithmic trading, its benefits, and its significance in modern financial markets.
Learn how to integrate Apache Kafka for efficient data ingestion and message streaming.
Understand how to manage event time and watermarks to ensure accurate and timely processing of trading data.
Step-by-step instructions on building, deploying, and managing Flink jobs for continuous data processing.
Implement real-time analytics and execute buy/sell orders based on your trading algorithms
Integrate with external systems like Slack for realtime notifications

Who is this for?

Students who want to learn Apache Flink from SCRATCH to its Live Project Implementation.

Who are new to Stream processing and want to learn a Stream processing framework which is better than Spark.

Software engineers who feel they missed an early opportunity to get into Hadoop & Spark.

Hadoop & Spark Developers who want to upgrade themselves to Apache's latest Big Data Streaming Engine.

What You Need to Know?

Basic knowledge of Distributed Frameworks.

Basic knowledge of OOPS.

Everything else is covered in this course

More details

Description
* Note: All the codes and APIs are updated with latest Flink version.

Apache Flink is the next big thing in the industry with its enormous advantages over Apache Spark and Hadoop.
This is the ultimate course on algorithmic trading and real-time data processing with Apache Flink! This course caters for all levels of programming experience. If youâ€™re a data engineer, software developer, financial analyst, or an aspiring trader, this comprehensive course is designed to equip you with the skills and knowledge to build a fully functional algorithmic trading system from scratch.
With the rate Apache Flink is making waves in the Big data technology space and rapidly gaining momentum in the market, It is assumed that same like Apache Spark replaced Hadoop, Flink can also replace Spark in the nearest future.
The demand for Apache Flink in market is already swelling. Many big companies from multiple Industry domains have already started using Apache Flink to process their Real-time Big data and thousands other are diving into.

*What's included in this course?***
Complete Apache Flink concepts explained from Scratch to Real-Time implementation.
Each and Every Apache Flink APIs and concept used in this project are explained with a HANDS-ON Flink implementation.
Flink codes and Datasets used in lectures are attached in the course for your convenience.
All the codes are updated with latest Flink version.

Who this course is for:
Students who want to learn Apache Flink from SCRATCH to its Live Project Implementation.
Who are new to Stream processing and want to learn a Stream processing framework which is better than Spark.
Software engineers who feel they missed an early opportunity to get into Hadoop & Spark.
Hadoop & Spark Developers who want to upgrade themselves to Apache's latest Big Data Streaming Engine.

User Reviews

Rating

average 0

Total votes0

Focused display

Algorithmic Trading

Ganiyu Yusuf

Instructor's Courses

I'm Yusuf Ganiyu, a dedicated and experienced Big Data Engineer at AstraZeneca UK, where I specialize in transforming complex data into actionable insights. My work, often operating behind the scenes, plays a pivotal role in the data-driven decisions you see in the industry today.With a passion for sharing knowledge, I have established myself as a prominent figure in the realms of Data Engineering and Cloud Computing. If you've sought out educational content in these fields, there's a good chance you've encountered my instructional videos or insightful articles.In my courses, I aim to demystify the complexities of data engineering and cloud technologies, making them accessible and engaging. Whether you're a beginner eager to dive into the world of data or a professional seeking to enhance your skills, my courses are designed to guide you every step of the way.Join me on this journey to unlock the power of data and cloud computing. Together, we'll explore cutting-edge technologies and practical applications that can propel your career to new heights.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.