Скачать или смотреть What Will You Learn in Database Management for Trading? | Course Overview

📢 Algorithmic Trading Conference 2025 by QuantInsti
🗓 Date: 23 September 2025
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Explore how AI, GenAI, and LLMs are reshaping trading and finance. Hear from global leaders including Tucker Balch, Peter Cotton, Faisal Mohammed, Matteo Campellone, Dimitri Bianco, and Prodipta Ghosh.
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📊 How do top traders manage massive amounts of data?
Whether it’s tick-level market data, historical price feeds, or bid-ask spreads—trading today demands structured, scalable data handling. That’s where database management becomes essential.

This video introduces you to the Quantra course on Database Management for Trading, built to equip you with the practical tools needed to manage financial data using:

Python

SQLite

SQLAlchemy

In just a few minutes, you’ll get a sneak peek into:

Why databases beat spreadsheets for trading workflows

How SQLite helps store structured data without setup

How SQLAlchemy simplifies database operations in Python

What multithreading and multiprocessing can do for your trading speed

How to handle complex data types like corporate actions efficiently

This isn’t just theory. You’ll get:

Real Jupyter notebooks

Practical use-cases

Code-first walkthroughs

A pathway to scale from solo analysis to team-ready cloud databases

🎓 Access the Full Course
Database Management for Trading using SQLite & SQLAlchemy
▶ https://quantra.quantinsti.com/course...

🆓 Beginner in Quant or Algo Trading? Start Here
Get access to our free 8-course beginner’s learning track for trading with Python:
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🔍 More from Quantra
Quantra by QuantInsti provides interactive, bite-sized, and self-paced learning for professionals in quantitative & algorithmic trading.
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