Markets Learning Path

High Frequency Trading

6 concepts · 3 paths · 2 pillars

Progress 0 / 6 complete

Flow

High Frequency Trading

Market Microstructure

Limit Order Book

Order Book Dynamics

All Paths

High Frequency Trading → Market Microstructure → Limit Order Book → Order Book Dynamics

3 steps

High Frequency Trading → Market Microstructure → Stream Processing → Data Pipeline Architecture

3 steps

High Frequency Trading → Stream Processing → Data Pipeline Architecture

2 steps

Concepts in this Path

1 High Frequency Trading

Mark Done Understand

Stock 4 items Review on Dashboard →

Algorithmic Trading: Strategies, Infrastructure, and Market Impact Learn Real-Time Data Engineering for Algorithmic Trading: From Tick Data to Execution Signals Research Akidau et al (2015) - The Dataflow Model: Balancing Correctness, Latency, and Cost Research

2 Market Microstructure

Mark Done Create

Stock 11 items Review on Dashboard →

Sector and Competitive Analysis: Industry Frameworks, Moats, and TAM Analysis Learn Applying Market Analysis: Investment Theses, Portfolio Construction, and Risk Management Learn Market Analysis Methods: Fundamental, Technical, Quant, Sentiment, and Macro Approaches Learn

3 Limit Order Book

Mark Done Create

Stock 6 items Review on Dashboard →

Market Microstructure: Order Books, Liquidity, and VPIN Toxicity Learn Market Microstructure: How Trades Execute and Prices Form Learn ML Pipeline Orchestration: From Notebook to Production with Feast and MLflow Research

4 Order Book Dynamics

Mark Done Create

Stock 5 items Review on Dashboard →

Market Microstructure: Order Books, Liquidity, and VPIN Toxicity Learn Market Microstructure: How Trades Execute and Prices Form Learn ML Pipeline Orchestration: From Notebook to Production with Feast and MLflow Research

5 Stream Processing

Mark Done Create

Data-engineering 5 items Review on Dashboard →

Real-Time Streaming with Apache Kafka: From Pub/Sub to Event-Driven Architecture Research Streaming ETL for Suspicious Activity Reports: Real-Time AML Data Pipelines with Kafka and Flink Research Real-Time Data Engineering for Algorithmic Trading: From Tick Data to Execution Signals Research

6 Data Pipeline Architecture

Mark Done Create

Data-engineering 1 items Review on Dashboard →

DataOps: Principles, Practices, and Pipeline Architecture Learn