Discussing the article: "Downloading International Monetary Fund Data Using Python"
Great content, I believe that if you cross this data with interest rates and 10Y, you'll get a great weekly indicator.
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Check out the new article: Downloading International Monetary Fund Data Using Python.
Imagine this: while most traders are analyzing Japanese candlesticks and plotting support lines, you already know that the Eurozone economy is showing signs of slowing down, and the British pound is bracing for a series of shocks due to the deteriorating trade balance. Sounds like science fiction? Not at all. The International Monetary Fund publishes terabytes of macroeconomic data daily, which, if processed correctly, can become a powerful tool for creating trading strategies.
Over the decades of its existence, the IMF has accumulated a unique database covering economic indicators of 190 countries. This data includes not only traditional metrics like GDP and inflation, but also complex structural indicators that allow us to see the real state of economies long before markets begin to react. The problem is that this data is presented in raw form and requires significant processing to become of practical value.
Author: Yevgeniy Koshtenko