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In this video, you will develop an end-to-end data engineering project, showcasing how to leverage the power of Apache Flink for real-time data processing and trading using state of the art tools like Apache Flink, Apache Kafka, Redpanda, and Python while leveraging custom stock trading algorithm. FULL END TO END COURSE AVAILABLE @ https://sh.datamasterylab.com/flink-algorithmic-trading 🔍 What You'll Learn: ✅ Introduction to Algorithmic Trading: Understand the basics of algorithmic trading, its benefits, and its significance in modern financial markets. ✅ Apache Flink Overview: Get acquainted with Apache Flink, a powerful stream processing framework, and learn why it's an excellent choice for real-time data processing. ✅ Kafka Integration: Learn how to integrate Apache Kafka for efficient data ingestion and message streaming. ✅ Data Processing and Transformation: See how to process and transform stock price data in real-time using Flink SQL and DataStream API. ✅ Handling Time and Watermarks: Understand how to manage event time and watermarks to ensure accurate and timely processing of trading data. ✅ Building and Deploying Flink Jobs: Step-by-step instructions on building, deploying, and managing Flink jobs for continuous data processing. ✅ Creating and Consuming Kafka Topics: Learn how to set up Kafka topics for stock price data and consume them within your Flink jobs. ✅ Real-Time Analytics and Order Execution: Implement real-time analytics and execute buy/sell orders based on your trading algorithms. Timestamps: 0:00 Introduction 3:17 Stock Trading Strategies 6:43 Process of Buying and Selling Stocks in the Market 10:05 System Architecture 13:30 Installations and Dependencies 18:32 Setting up the Architecture 29:18 Retrieving Historical News Producer 54:00 Setting up Custom LLM for Sentiment Analysis 1:06:53 Setting up Historical Prices Producer 1:25:40 Implementing Custom Trading Algorithm 🔧 Tools and Technologies Used: ✅ Apache Flink ✅ Apache Kafka + Redpanda ✅ Python ✅ SQL ✅ Docker 📈 Project Highlights: ✅ End-to-End Workflow: From data ingestion to processing and finally executing trades, see the complete workflow of an algorithmic trading system. ✅ Real-World Application: Practical insights into how algorithmic trading systems operate in the financial industry. ✅ Hands-On Demonstration: Follow along with a hands-on demonstration to build your own trading system. 👥 Who Should Watch This Video: ✅ Data Engineers ✅ Software Developers ✅ Financial Analysts ✅ Aspiring Algorithmic Traders ✅ Anyone interested in real-time data processing and trading systems 🔗 Resources: ✅ Source Code: https://buymeacoffee.com/yusuf.ganiyu/youtube-source-code-realtime-algorithmic-trading-apache-flink ✅ Apache Flink Documentation: https://nightlies.apache.org/flink/flink-docs-stable/ ✅ Apache Kafka Documentation: https://kafka.apache.org/20/documentation.html Don't forget to like, subscribe, and hit the notification bell to stay updated with more tutorials on data engineering and algorithmic trading! Like this video? Support us: https://www.youtube.com/@CodeWithYu/join
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