How I Built a Macroeconomic Dashboard with Python + Streamlit (Predict Trends, Regimes & Risk)
Автор: Gonzalo Abduca
Загружено: 2025-11-13
Просмотров: 23
Описание:
In this video, I walk you through the Money Market & Macroeconomics Dashboard I built entirely with Python and Streamlit.
The purpose of this project is to bring together the most important market and macro data—interest rates, yield curves, credit spreads, inflation trends, sector rotation, futures signals, and more - so we can understand the macro environment and how it impacts asset performance.
A key part of the dashboard includes indicators built with unsupervised machine learning, designed to detect regime shifts, trend acceleration, and reversal points. Many of these tools have been backtested, showing strong effectiveness in anticipating market moves.
The overall goal is simple:
✔️ Identify the current macro regime
✔️ Understand how it influences market behavior
✔️ Build portfolios that can thrive in any environment
✔️ Manage risk with discipline and clarity
If you’re into quantitative finance, macro investing, machine learning, or building finance tools with Python, this walkthrough will be valuable.
Subscribe if you want more content on macro analysis, portfolio construction, quantitative tools, and Python/Streamlit tutorials.
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