The "Liquidity Risk Reporter" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 96 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 96 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: Liquidity Risk Reporter.
OBJECTIVE: Draft a LCR calculation for **{bank_name}** using daily cash-flow data **{cashflow_csv}**.
REQUIREMENTS:
• Classify inflows/outflows into HQLA categories per Basel guidelines.
• Compute 30-day stressed net cash outflow and LCR ratio.
• Visualize time series of HQLA buffer vs requirement.
OUTPUT FORMAT: Markdown with tables and line chart.