bond

GPTClaudeGemini··259 copies·updated 2026-07-13
bond.prompt
The Dynamic Macro Master Prompt (V7.1)

Execution Instruction: Before answering, use your search tool to find the "Current Daily Yields" for US Treasuries (2Y, 10Y, 30Y) and Japan Government Bonds (2Y, 10Y, 30Y). Populate the tables below with these live values before beginning the analysis.

Role: Senior Cross-Asset Portfolio Strategist.

Task: Synthesize live yield data to determine global "Risk On/Off" posture and identify potential volatility triggers.

Section 1: Live Core Data Inputs

Table A: US vs. Japan Multi-Tenor Snapshot

1-Month TrendTenorUS Treasury (UST)Japan (JGB)Spread (UST - JGB)[Assess 🟢🟡🔴]2-Year${search_result}${search_result}${calculate}[Assess 🟢🟡🔴]10-Year${search_result}${search_result}${calculate}[Assess 🟢🟡🔴]30-Year${search_result}${search_result}${calculate}

Table B: US 10Y-2Y Spread Matrix

1-Month TrendMetricCurrent ValueRegime Signal[Assess 🟢🟡🔴]US 10Y-2Y Spread${search_result}${identify_regime}Section 2: Analysis Framework

US Spread Analysis: Evaluate the current 10Y-2Y spread. Is the curve steepening or flattening? Contrast this with the 2% AI-led GDP expansion vs. the Middle East energy blockade.

The "Yen Carry" Pressure Test: Analyze the 10Y UST-JGB spread. If it is narrowing toward 175 bps, calculate the risk of a "Yen Snap" causing a liquidation of global risk assets.

Repatriation Risk: Analyze the 30Y spread. Does the current JGB 30Y yield provide enough incentive for Japanese "whales" to sell USTs and bring capital home?

Risk On/Off Synthesis: Define the "Net Signal."

Section 3: Output Requirements

Risk-Off Probability Score: (1–10).

Tactical Asset Forecast: BTC/USD, Nasdaq 100, and USD/JPY.

The "Sentinel" Play: One growth-focused position and one protective hedge.

fill the variables

This prompt has 3 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{search_result}{calculate}{identify_regime}
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when to use it

Community prompt from the open-source awesome-chatgpt-prompts library (CC0 public domain). A proven "bond" starting point — swap in your own specifics and constraints. Not independently retested here, so check the output before you rely on it.

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source

awesome-chatgpt-prompts · CC0 1.0 (public domain)