Discussing the article: "Gain An Edge Over Any Market"
Once again great stuff Ndawa, fascinating stuff , makes me want to check out other big data sources . Even though it is well written and clear this may take me a while to digest . Thank you so much for sharing, Having the Jupiter files are a fantastic help . Not sure if it makes a difference but it may be wise to sanitize the file paths in the jupterfiles e.g C:\\\\Users\\\\<Your Username>\\\\<Your Location>\\\\jupyter-notebooks\\\\AlternativeData\\\\Alternative Data.csv'
You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
Check out the new article: Gain An Edge Over Any Market.
Learn how you can get ahead of any market you wish to trade, regardless of your current level of skill.
Today, we will craft a robust trading strategy designed to provide traders with a significant competitive advantage across various markets. While conventional market participants solely rely on some combination of price-related data, technical indicators and public news announcements for decision making, our strategy takes a trail-blazing approach by leveraging alternative data sources that remain largely unexplored by the majority.
The premise behind our strategy lies in the integration of alternative data, an option often overlooked by mainstream market participants. By harnessing these untapped data sources and applying machine learning techniques, we may position ourselves to gain unique insights and perspectives that are exclusive to our strategy.
In our exploration, we will examine data provided by the St. Louis Federal Reserve Bank, specifically leveraging their comprehensive econometric time-series database known as FRED. FRED is accessible to the public at all times, and unquestionably offers data crucial for informed decision-making in trading. Furthermore, data sourced from central banks like the St. Louis Fed often serves as leading indicators, enhancing our ability to time entries and exits effectively.
Moreover, this data is immune to external manipulation, making it an ideal candidate for integration into our trading strategy.
This article aims to serve as a practical guide, demonstrating the easy utilization of Python and MetaTrader 5 to construct cutting-edge trading strategies. Our commitment to clarity and simplicity ensures that every aspect is explained clearly, enabling readers to grasp our approach effortlessly and get started today!
Author: Gamuchirai Zororo Ndawana