Turnleaf Analytics provides financial institutions with high-frequency, point-in-time data feeds covering global food and energy markets. The company delivers accurate macroeconomic forecasts for inflation, GDP, and unemployment across numerous countries. Additionally, it offers MARCOS, an AI model factory for building and operationalizing custom macro forecasting models.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional macroeconomic forecasting relies on statistical models and economists' predictions, which often lag behind rapidly changing market conditions and exhibit high error rates. This can lead to suboptimal investment decisions and increased risk for market participants.
Solution
Turnleaf Analytics leverages machine learning and alternative data sources to generate macroeconomic forecasts, including inflation and GDP predictions. Their models capture complex relationships within the economic landscape, providing timely insights and outperforming traditional forecasting methods. By incorporating a wide array of macroeconomic indicators and alternative data, Turnleaf Analytics delivers earlier forecasts with lower error rates, enabling more informed investment and trading strategies for its clients. The company focuses on both emerging and developed markets, identifying opportunities where others may not.
Target Audience
Turnleaf Analytics primarily serves investment firms, hedge funds, and other financial institutions that require accurate and timely macroeconomic forecasts to inform their investment and trading strategies.
Features
- Machine learning models trained on traditional and alternative data sources
- Macroeconomic forecasts for variables including inflation and GDP, up to 12 months in the future
- Daily-updated dashboards showcasing societal sentiment on various topics
- Monthly and weekly forecast updates for major economies (US, Eurozone, UK)
- Focus on both emerging and developed markets
- Backtested strategies demonstrating increased trading revenue
- Interdisciplinary approach combining expertise in financial markets, diverse datasets, and quantitative techniques