Data Quality Checks

Lesson Overview

In "Trading Data Analysis" → "Data Cleaning", this lesson "Data Quality Checks" builds knowledge you can apply immediately.

Check missing timestamps, zero-profit trades, lot anomalies. Clean before metrics.

Core Concepts

These points align with the video walkthrough—take notes as you watch.

• ▸Check missing timestamps, zero-profit trades, lot anomalies.
• ▸Clean before metrics.

Practical Application

After studying, complete the companion practice lesson to move from understanding to doing.

• ▸Follow along in Jupyter or VS Code
• ▸Log how parameter changes affect backtest results
• ▸Submit a reproducible analysis notebook

FAQ

• ▸Q: How does this lesson fit the course? A: Part of "Data Cleaning"—follow the curriculum order.
• ▸Q: What do I need? A: Demo account and notes; quant lessons need a Python environment.
• ▸Q: How do I know I've mastered it? A: Pass the quiz and explain three key points of Data Quality Checks on your own.