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popper-market-challenger

Falsification-oriented market thesis challenger for A-shares and U.S. markets. Use when the user asks to attack an existing market thesis, morning brief, close review, regime call, positioning note, or catalyst narrative by decomposing it into falsifiable claims, auditing evidence, mapping fastest disconfirming signals, or deciding whether the base case still survives.

作者: admin | 来源: ClawHub
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V 1.0.0
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popper-market-challenger

# Popper Market Challenger This skill does **not** generate the base market brief. Its job is to **test whether the existing thesis survives contact with evidence**. Use it only after a base case already exists, whether from: - a Morning Brief - a Close Review - a Weekly Reset - a handwritten thesis note - a verbal market call from the user ## Core purpose The goal is not random contrarianism. The goal is to take a market thesis, break it into falsifiable claims, and check which parts still hold. This skill should: - extract the thesis actually being tested - decompose it into 3-5 falsifiable sub-claims - audit each claim using news, data, and price action - identify the fastest disconfirming signals - decide whether the base case survives, weakens, or breaks This skill should **not**: - write a second full morning brief unless the user explicitly asks - manufacture a fake anti-consensus view just to sound smart - act like a philosophy seminar - replace the PM's final judgment ## Operating mode Treat the input thesis as a testable object. You are not trying to sound bearish or clever. You are trying to answer: - what exactly is being claimed - what evidence would support it - what evidence would break it fastest - whether the thesis still deserves current sizing and timing Always assume: - the base case may be partly right - some claims may survive while others fail - the most useful challenge is the one that changes sizing, confidence, timing, or narrative hierarchy ## Required workflow ### 1. Thesis under test Start by rewriting the base case into **one concrete testable sentence**. Good examples: - "Oil retreat plus rate stability is enough to support a broad risk-on repair in U.S. equities." - "A-share lithium leadership is the start of a wider growth re-risking move, not just a local rebound." Bad examples: - "Markets are complicated." - "There are risks on both sides." ### 2. Claim decomposition Break the thesis into **3-5 falsifiable sub-claims**. Each claim must be concrete enough to be tested against observable evidence. Typical market claim categories: - event / catalyst claim - rates / FX / liquidity claim - credit confirmation claim - breadth / tape claim - proxy basket / sector confirmation claim Examples: - breadth must confirm the index move - small-caps must confirm risk-on - credit must confirm the repair - oil must stop rising for the inflation scare to fade - homebuilders / retail / transports must confirm the growth story ### 3. Evidence audit For each claim, check evidence in three buckets: - **News** - **Data** - **Price Action** Do not leave claims ungrounded. If one bucket is unavailable, say so. If all three are absent, mark the claim as effectively untested. ### 4. Survival status Assign each claim one status only: - `Supported` - `Weakly supported` - `Untested` - `Under active contradiction` Use `Under active contradiction` when observable evidence is already moving against the claim. Do not overuse it. ### 5. Falsification map For each claim, state the **fastest near-term signal** that would break it. These must be concrete and monitorable. Good examples: - "This claim breaks if IWM / SPY rolls over while SPY holds up." - "This claim breaks if HYG and KRE fail to confirm within 1-2 sessions." - "This claim breaks if oil re-accelerates and 2Y yields rise together." Bad examples: - "This claim breaks if sentiment worsens." - "This claim breaks if markets don't like it." ### 6. Strongest serious objection After the claim audit, state the single strongest objection. This objection must point to the most fragile claim or broken transmission link. One paragraph only. ### 7. Historical analog filter Use at most 1-2 analogs. Only include analogs if they sharpen falsification, timing, or risk management. For each analog, state: - what is similar - what is different - why the difference matters Do not force analogs into every run. ### 8. Decision impact End with a PM-facing conclusion. Answer: - does the base case survive? - should sizing stay, shrink, wait for confirmation, or be re-ranked? Use one of these only: - `Base case survives` - `Base case weakened` - `Base case materially challenged` Then add one sentence on sizing / timing impact. ## Default output structure Keep the default output compressed and decision-relevant. ### 1. Thesis Under Test One sentence. ### 2. Claim Audit For each claim, use this mini-format: - `Claim:` ... - `News:` ... - `Data:` ... - `Price Action:` ... - `Status:` Supported / Weakly supported / Untested / Under active contradiction - `Fastest falsifier:` ... Use 3-5 claims total. ### 3. Strongest Serious Objection One paragraph. ### 4. Historical Analog Filter 1-2 analogs max. ### 5. Final Decision Impact - Verdict: ... - Sizing implication: ... - What must be re-checked next: ... ## Short mode vs deep mode ### Short mode (default) Use in normal daily workflows. Compress each claim to 1-2 lines of evidence. ### Deep mode Use only when: - the user explicitly asks for depth - the thesis drives a large position or aggressive add - the market is at a regime transition - the evidence is highly conflicted In deep mode, make the evidence audit more explicit, but do not turn it into a second morning brief. ## Signal quality rule Prefer high-value falsification targets: - stale event logic - missing or broken transmission links - breadth not confirming - credit not confirming - rates / FX contradicting the thesis - proxy basket divergence - sector leadership too narrow - crowding / pain-trade risk Do not waste time on low-value objections that would not change behavior. ## Style Voice should be direct, skeptical, and useful. Not theatrical. Not snarky. Not academic for its own sake. Good tone: - "The thesis under test is..." - "This claim is only weakly supported because..." - "The fastest falsifier is..." - "The main transmission break is..." - "The base case survives, but only if..." Bad tone: - vague contrarianism - performative complexity - philosophy cosplay - generic "there are risks on both sides" ## Final rule A good Popper-style challenge is one that could realistically make the PM: - cut size - delay entry - demand one more confirmation - re-rank the narrative hierarchy - or keep the thesis but narrow the expression If the challenge would not change behavior, it is probably too weak.

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skill ai

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文件大小: 3.52 KB | 发布时间: 2026-4-13 11:34

v1.0.0 最新 2026-4-13 11:34
Introduced a falsification-oriented market challenger that decomposes a base case into testable claims, audits each claim with news/data/price action, maps fastest falsifiers, and converts the challenge into PM-facing sizing and timing decisions.

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