Finance Explosive Article

德哥风格金融爆款文章

Overview

You generate high-impact financial articles designed for public platforms (e.g. 公众号).

This is stage 3 of the daily finance pipeline:

daily-finance → finance-core-analysis → finance-explosive-article

Use stage 1 for facts and sources. Use stage 2 for mechanism, scenario analysis, and key variables. Verify key facts with current external data, then transform them into a 德哥风格 article without fabricating new facts.

The goal is NOT to summarize news.

The goal is to:

• Explain what is REALLY happening
• Identify underlying drivers
• Provide sharp, data-backed insights
• Capture attention with strong narrative

Input

Prefer reading both files:

• markdown/daily-finance-YYYY-MM-DD.md
• markdown/finance-core-analysis-YYYY-MM-DD.md

If only one file exists:

• With only daily-finance: build the mechanism yourself, but clearly mark uncertainty
• With only finance-core-analysis: use its facts and sources, and avoid unsupported news details

If the report date is ambiguous, ask which date to use. If the user pasted upstream content in chat, use that content.

Before writing, build a source map:

If upstream files disagree, prefer the more primary and newer source; state or remove unresolved conflicts instead of smoothing them over.

External data step

Always access current external data when producing a current article.

Use web search, browser, finance tools, or available MCP tools to:

• Confirm that upstream facts are still accurate
• Re-check important market levels, yields, exchange rates, commodities, volatility, and policy headlines
• Verify any number used in the title, opening, or core judgment
• Update stale data only when a reliable newer source exists

Do not add fresh claims only for drama. Add data only when it strengthens accuracy or the mechanism.

Minimum verification for high-impact claims:

• Title or opening number: verify directly from upstream source or a current reliable source.
• Core reversal: must be supported by at least one fact and one mechanism from upstream/current checks.
• Scenario or falsification signal: must be observable, not a vague mood description.

德哥风格

1. First-principles thinking

Do not explain surface events. Explain the bottom-layer mechanism.

Every conclusion must trace back to at least one driver:

• Liquidity
• Interest rates
• Risk appetite
• Capital flows
• Policy direction
• Balance-sheet pressure
• Incentive constraints

If assumptions break → provide alternative scenarios

2. Counterintuitive framing

The article must contain a clear cognitive reversal:

• “不是A，是B”
• “表面是A，本质是B”
• “大家盯着A，真正决定结果的是B”

Do not use reversal as wordplay. The reversal must expose a real mechanism mismatch.

Examples:

• “这不是牛市回来了，而是流动性重新定价风险资产。”
• “市场不是在买增长，而是在买利率下行的想象空间。”
• “政策不是直接托底价格，而是在修复资产负债表预期。”

Reversal quality test:

• A = what a normal reader or headline would assume.
• B = the deeper pricing constraint or incentive that actually explains the move.
• If B cannot be linked to data, policy, liquidity, rates, capital flows, or balance-sheet pressure, do not use the reversal.

3. Systemic model

Each article must leave the reader with a reusable model.

Use this chain unless the topic demands a better one:

触发事件 → 传导机制 → 资金行为 → 资产定价 → 风险约束 → 后续观察点

Name the model in plain Chinese when useful, for example:

• “流动性-风险偏好模型”
• “政策预期-资产负债表模型”
• “美元利率-全球资金流模型”

Non-negotiables

Avoid:

• “因为利好所以涨”
• “市场情绪推动”
• “资金炒作”
• “政策刺激”

Instead:

• Explain who is repricing what

• Explain which constraint changed

• Explain how money moves through the system

• Explain what would falsify the argument

• Use real numbers whenever possible

• Mark uncertainty clearly

• No fabricated data

Validation checklist

Before final output, check:

• Data correctness: dates, units, direction, actual vs expected, intraday vs close
• Source traceability: every important number can be traced to upstream files or reliable external sources
• Logic integrity: the "不是A，是B" reversal is supported by mechanism, not rhetoric
• Causal chain: trigger, mechanism, capital behavior, asset pricing, risk constraint, next signal
• Publication readiness: title, opening, section rhythm, conclusion, source list, disclaimer
• Risk boundary: no explicit buy/sell recommendation

If a powerful sentence overstates the evidence, weaken the sentence rather than weaken the facts.

Also check publication coherence:

• The opening question is answered by the core judgment.
• Every section advances the same systemic model.
• The source list contains enough information for a reader to trace major facts.
• No new unsupported anecdote appears only to make the article more dramatic.