Singapore Economic Stability and Market Activity Dataset

The Singapore Economic Stability and Market Activity Dataset (SES-MAD) is a large-scale, real-world, high-frequency economic and financial dataset compiled from official institutional sources including the Monetary Authority of Singapore (MAS), the Singapore Exchange (SGX), and the Singapore Institute for Financial Analytics (SIFA).It provides a unified and temporally synchronized view of macroeconomic indicators, fiscal performance, financial market variables, governance metrics, and sentiment indices, enabling advanced research in economic forecasting, macro-financial stability assessment, and policy modeling. The dataset covers the period from February 2022 to July 2025, recorded at 15-minute intervals, capturing short-term fluctuations and long-horizon economic cycles in Singapore’s economy.It integrates over 70 quantitative and qualitative indicators across seven major thematic domains: macroeconomics, finance, trade, fiscal policy, governance, global spillover, and sentiment analytics.All records are aligned to a unified temporal grid to facilitate time-series modeling, econometric analysis, and AI-based forecasting. The dataset supports both regression-based forecasting (e.g., GDP growth, inflation, financial stability index) and multi-class classification (e.g., economic stability states: Stable, Vulnerable, Crisis).It has been utilized in the Q-MultiScaleTransNet study for quantum-enhanced multiscale forecasting and is suitable for broader applications in AI-driven macroeconomic research, market surveillance, and risk prediction. Dataset Summary Temporal Resolution: 15-minute intervals Coverage Period: February 2022 – July 2025 Records: ≈ 1.27 million Variables: 70 + economic, financial, and policy indicators Targets: GDP_Growth_Forecast Inflation_Forecast Financial_Stability_Index Stability_Risk_Class (0 = Stable, 1 = Vulnerable, 2 = Crisis)