Saeed Amen of Turnleaf Analytics shares how Macrobond underpins his global inflation forecasting models. With clean historical data, fast updates, and a seamless API, he can power machine learning workflows and uncover new predictive signals with speed and confidence.
Our whole project is essentially a research project. We’re constantly looking for new and interesting data sets to help forecast inflation more accurately.
The world doesn’t stand still, so neither should we. We spend most of our week on research — testing models, discovering new data, updating forecasts — and good-quality data is absolutely crucial to that process.
When we started Turnleaf, we knew we needed comprehensive, reliable macroeconomic and market data that could be updated frequently and tracked through history. We looked at several vendors, but Macrobond stood out because it had both the breadth and the depth — long historical series, point-in-time data, and coverage across so many countries.
Macrobond has been with us since day one. It’s a major data source within our models, providing the historical foundation we need for accurate time-series forecasting.
It’s fully integrated. We use the Macrobond API extensively — it’s very easy to use, which is crucial when you’re working with large-scale, automated modeling processes.
We can pull exactly what we need, when we need it, and we know it’s already been cleaned and standardized. That saves us a huge amount of time and ensures our models are built on trusted, consistent inputs.
We also appreciate how quickly Macrobond updates after official releases. We never have to wait a week or two for new data — it’s there almost immediately.
Definitely. Macrobond has such a rich library that we often find datasets we didn’t even know existed. That helps us improve our models by adding new predictive variables.
The search and categorization make it easy to explore by country, by source, or by theme. Sometimes you don’t know exactly what you’re looking for — you just want to see what’s available. Macrobond makes that discovery process intuitive and fast.
The support team has been excellent. Whenever we have questions about specific data — like how a statistical agency defines or calculates a series — Macrobond gets back to us very quickly, often within hours.
They’ve also been great about technical questions on the API and how to optimize our data pipelines. Overall, the experience has been professional, responsive, and collaborative.
There are many examples. Often, we’ll find additional series in Macrobond — for example, niche inflation components or regional indicators — that improve our forecasts.
The scale of Macrobond’s data gives us the ability to combine many small but meaningful signals. It’s rarely about one “killer variable”; it’s about aggregating a wide range of relevant inputs to boost model accuracy.
Without that depth and variety, we simply couldn’t achieve the level of precision that our clients expect.
It’s the combination of quality, history, and usability. For anyone working with macroeconomic data, those three things are essential.
Macrobond has a comprehensive, global dataset with long histories, frequent updates, and a well-designed interface — plus a great API for automation.
For us, it’s not just a data provider. It’s a partner that underpins our research and gives us the confidence that our forecasts are built on solid foundations.
