🚨Update! The Algorithmic Trading Conference 2024 is happening on September 24th! 🚀 Unleash AI and data-driven strategies to transform your trading. Learn from industry leaders who’ve mastered the game.
🎟️ Don’t miss out! Register now: [ Ссылка ]
Free Quantitative Trading Learning Track: 34 Hours of In-Depth Training in Python, Machine Learning, and Trading Strategies for Beginners. Enroll Now: [ Ссылка ]
_______
Learn more about data collection methods and get market data on stocks, crypto, news and fundamentals 👉 [ Ссылка ]
A brief lesson on data collection methods. After completing this video, you will be able to explain what data collection is data collection methods and the types of data you have defined in the problem statement in the previous section.
The next step is to collect the data to help solve the defined problem. Data collection is a systematic approach to gathering relevant information from various sources.
Depending on the problem statement, the data collection method is broadly classified into two categories. When you have a unique problem and no related research is done on the subject. Then, you need to collect new data. This method is called primary data collection.
Helpful resources:
💻 Backtesting Trading Strategies Course 👉 [ Ссылка ]
Quantra is an online education portal that specializes in Algorithmic and Quantitative trading. Quantra offers various bite-sized, self-paced and interactive courses that are perfect for busy professionals, seeking implementable knowledge in this domain.
Find more info on 👉 [ Ссылка ]
Free Learning Track: 8-course guide to quantitative trading for beginners
A perfect way to get your base strong in the Algo & Quant trading domain. This bundle of 8 FREE courses will take you through basic terminology and concepts you must know to be able to trade in various asset classes using Python 👉 [ Ссылка ]
Timestamp:
00:22 - 00:35 - Data collection definition
00:36 - 01:09 - Primary data collection method
01:09 - 01:30 - Secondary data collection method
01:30 - 02:20 - Sample data
