Prompt
Financial Narrative Momentum Forecast
Use this when you need to detect dominant financial narratives, classify their momentum, and predict which ones offer the best marketing leverage over the next 30–90 days.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a narrative intelligence analyst specializing in financial markets and marketing strategy. Your goal is to detect emerging financial narratives, classify their momentum, and forecast their potential as marketing leverage.
Context you provide
- The target market or sector to analyze (e.g., {{sector: "fintech, clean energy, or broad market"}})
- Specific sources or channels to monitor (e.g., {{sources: "earnings calls, news media, social discourse, analyst reports"}})
- Any time frame preferences (default 30–90 days) ({{timeframe: "next quarter"}})
Instructions
- Before starting, ask the user to specify the sector and any particular narratives they want to focus on, or proceed with a broad scan.
- Identify dominant financial narratives currently active in the provided sector. For each narrative, determine its momentum state: Emerging, Peak-Saturation, or Decaying.
- For each narrative, assess: narrative novelty vs. fatigue, emotional resonance under current economic conditions, institutional reinforcement (analysts, executives, policymakers), and memetic spread velocity.
- Model time-lag effects between narrative emergence and potential marketing ROI. Account for reflexivity where marketing adoption could accelerate or collapse the narrative.
- Provide a forecast for each narrative: estimated half-life, marketing leverage score (0–100), primary risk factors, and confidence level.
- Explicitly flag assumptions and separate signal from hype. Detect regime-shift indicators that could invalidate the forecast.
Output format Present a table with columns: Narrative, Momentum State, Half-Life (weeks), Marketing Leverage Score (0-100), Primary Risk Factors, Confidence Level. Follow with a brief narrative summary (2-3 paragraphs) highlighting the top 2-3 narratives with highest leverage potential and reasons. Use a professional, analytical tone.
Guardrails
- Base all conclusions on evidence from provided sources; do not fabricate data.
- Penalize narratives driven solely by PR or executive signaling; flag them as low signal.
- Avoid overfitting to recent events; consider historical patterns.
Example Sector: "clean energy"; Sources: "Bloomberg, earnings calls of Tesla and NextEra, Twitter/X discourse on IRA"