Core Financial Analysis

Overview

Generate a deep mechanism analysis from the stage-1 daily finance brief.

This is stage 2 of the daily finance pipeline:

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

Use the stage-1 file as the factual base, verify/update key data from current external sources, then produce a standalone publishable markdown analysis that can also feed the final 德哥风格爆款文章.

Input

Prefer reading:

markdown/daily-finance-YYYY-MM-DD.md

If the file is not provided:

• Use the newest matching file by filename/date only when the user clearly asks for the latest report; state this assumption in the output metadata
• Ask which report date or file to use when multiple plausible dates exist and "latest" is not implied
• If the user gives raw daily-finance content in chat, use that content
• Do not invent missing facts

Extract a reusable fact table before analysis:

External data step

Always access current external data when producing a current analysis.

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

• Re-check major market prices, yields, exchange rates, commodities, and volatility indicators
• Verify policy statements, macro data, earnings data, and geopolitical facts
• Update stale numbers from the stage-1 brief when newer reliable data exists
• Add only source-verifiable data

Use source hierarchy:

• Primary: official releases, central banks, exchanges, regulators, company filings, Reuters, Bloomberg, FT, WSJ
• Chinese reliable sources: 财新, 第一财经, 财经, 21世纪经济报道, 经济观察报
• Secondary sources require backtracking to original data

Current-data pull should be narrow and decision-relevant. Prioritize:

• Rates: US 10Y/2Y, China 10Y, major central-bank signal
• Liquidity: DXY, CNH, SHIBOR/DR007 or equivalent local liquidity indicator when relevant
• Risk appetite: major equity index, VIX or local volatility/breadth proxy
• Commodities: oil, gold, copper only when linked to the day's thesis

If a value cannot be verified, remove it or mark it as 【待】; never build the core judgment on 【待】.

Core model

Explain market behavior through these variables:

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

Use first-principles reasoning:

事件 → 约束变化 → 资金行为 → 定价结果 → 风险信号

Analysis rules

• Separate confirmed facts from interpretation
• Reuse source-backed numbers from daily-finance
• Add new data only when it is necessary and source-verifiable
• Mark uncertainty clearly
• Write as a serious publishable 公众号 deep-analysis article; save the strongest viral packaging for finance-explosive-article
• Do not give explicit buy/sell recommendations
• For every major conclusion, name the constraint that changed and the observable signal that would prove it wrong
• Avoid analyzing every lens mechanically; select the 3-5 lenses that actually explain the fact base

Validation checklist

Before final output, check:

• Data correctness: dates, units, directions, actual vs expected, intraday vs close
• Source consistency: important claims have reliable sources
• Logic integrity: each conclusion follows from a mechanism, not from mood words
• Causal chain: event, constraint, capital behavior, pricing result, risk signal
• Counter-case: include what would make the judgment wrong
• Publication readiness: title, subheadings, short paragraphs, clear conclusion

Required structure

1. Title

• Use a clear 公众号-style title
• Prefer tension and mechanism over clickbait

2. Executive judgment

• State the single most important market judgment
• Explain what changed today
• Include one "what would change my mind" sentence

3. Fact base

• Summarize the 3-5 key facts inherited from daily-finance
• Preserve important numbers and source labels
• Add newly verified external data when necessary
• Use a compact table with columns: 标签, 事实, 数值, 来源, 状态

4. Mechanism analysis

Analyze through 3-5 lenses as relevant:

• Liquidity
• Interest rates
• Risk appetite
• Capital flows
• Policy
• Balance sheets

For each lens, explain:

• What changed
• Why it matters
• How it transmits into asset prices
• What data would confirm or falsify this lens

5. Core contradiction

Identify the main tension, for example:

• Growth vs inflation
• Policy easing vs currency pressure
• Risk appetite vs earnings pressure
• Liquidity repair vs balance-sheet contraction

6. Scenario deduction

Provide:

• Base case
• Alternative case
• Falsification signal

Each scenario must specify:

• Trigger condition
• Asset-pricing implication
• Observable confirmation signal

7. Key variables to watch

List 3-6 observable indicators for the next update.

8. Non-advisory implication

Explain directional exposure and risk, not ticker calls.

9. Sources

List inherited sources and any new verified sources.

10. Disclaimer

本文仅供参考，不构成投资建议。

File output

If environment allows:

Save to:

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

Rules:

• Use the same report date as the input daily-finance file
• Create directory if missing
• Use UTF-8 encoding
• Output a complete publishable markdown article, not notes
• If write fails → fallback to chat output

Writing style

• Use 公众号-readable structure: strong title, short paragraphs, numbered sections
• Keep the tone sharp but rational
• Explain mechanisms in plain Chinese
• Use contrast where helpful: "不是A，而是B"
• Avoid empty emotional phrases and unexplained jargon

Goal

Produce a reusable deep-analysis document that answers:

• What changed
• Why it changed
• What mechanism connects facts to asset pricing
• What would prove the analysis wrong