All skills
tradermonty avatar

/scenario-analyzer

@2a3359f

Skill that analyzes 18-month scenarios from a news headline. Runs the primary analysis with the scenario-analyst agent and obtains a second opinion with the strategy-reviewer agent. Generates a comprehensive English report covering 1st/2nd/3rd-order impacts, recommended stocks, and a critical review. Example: /scenario-analyzer "Fed raises rates by 50bp" Triggers: news analysis, scenario analysis, 18-month outlook, medium-to-long-term investment strategy

Use this Skill: https://skilld.dev/gh/tradermonty/claude-trading-skills/scenario-analyzer

This session only. Nothing lands on disk.

referencesscenario_playbooks.md

≈2.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Scenario Playbooks

This reference provides templates and best practices for constructing 18-month scenarios. Use it during scenario analysis to produce consistent, high-quality scenarios.

Core Principles of Scenario Construction

1. MECE Principle (Mutually Exclusive, Collectively Exhaustive)

Scenarios should satisfy:

  • Mutually exclusive: scenarios do not overlap
  • Collectively exhaustive: cover all major possibilities

2. Probability Allocation Guidelines

Scenario Typical range Rationale for the allocation
Base Case 50-65% Most probable development
Bull Case 15-25% Positive upside
Bear Case 20-30% Negative downside
Total 100% Always adjust so it sums to 100%

When an asymmetric allocation is appropriate:

  • Bull > Bear: environment with many bullish drivers
  • Bear > Bull: environment with many risk factors
  • Base > 60%: low-uncertainty situation
  • Base < 50%: extremely high-uncertainty situation (even the Base Case is uncertain)

3. Timeline Segmentation

3-phase structure:

  • 0-6 months: short-term reaction, initial moves
  • 6-12 months: medium-term development, trend formation
  • 12-18 months: long-term outcome, new equilibrium

Scenario Templates

Base Case Template

### Base Case (XX% probability)

**Summary**:
[Summarize the scenario in 1-2 sentences. Describe the most probable development.]

**Assumptions**:
- [Assumption 1]: [specific condition]
- [Assumption 2]: [specific condition]
- [Assumption 3]: [specific condition]

**Timeline**:

**0-6 months:**
- [Key development 1]
- [Key development 2]
- [Expected market reaction]

**6-12 months:**
- [Medium-term development 1]
- [Medium-term development 2]
- [Trend direction]

**12-18 months:**
- [Long-term outcome 1]
- [New equilibrium state]
- [Structural change (if any)]

**Impact on economic indicators**:
| Indicator | Current | 6-month forecast | 12-month forecast | 18-month forecast |
|-----------|---------|------------------|-------------------|-------------------|
| GDP growth | X% | X% | X% | X% |
| Inflation | X% | X% | X% | X% |
| Policy rate | X% | X% | X% | X% |
| Unemployment | X% | X% | X% | X% |

**Key catalysts**:
- [Factor that supports this scenario 1]
- [Factor that supports this scenario 2]

**Invalidation signals**:
- [Sign this scenario is breaking down 1]
- [Sign this scenario is breaking down 2]

Bull Case Template

### Bull Case (XX% probability)

**Summary**:
[Summarize the optimistic scenario in 1-2 sentences. What kind of upside occurs.]

**Assumptions**:
- [Optimistic assumption 1]: [specific condition]
- [Optimistic assumption 2]: [specific condition]
- [Optimistic assumption 3]: [specific condition]

**Timeline**:

**0-6 months:**
- [Positive development 1]
- [Positive development 2]
- [Expected favorable market reaction]

**6-12 months:**
- [Continuation of the upside trend]
- [Additional positive factors]
- [Improving market sentiment]

**12-18 months:**
- [Outcome of the optimistic scenario]
- [State achieved]
- [Sustainability assessment]

**Impact on economic indicators**:
[Assume figures better than the Base Case]

**Upside catalysts**:
- [Factor that realizes this scenario 1]
- [Factor that realizes this scenario 2]

**Conditions that raise this scenario's probability**:
- [Condition 1]
- [Condition 2]

Bear Case Template

### Bear Case (XX% probability)

**Summary**:
[Summarize the risk scenario in 1-2 sentences. What kind of downside occurs.]

**Assumptions**:
- [Risk assumption 1]: [specific condition]
- [Risk assumption 2]: [specific condition]
- [Risk assumption 3]: [specific condition]

**Timeline**:

**0-6 months:**
- [Negative development 1]
- [Negative development 2]
- [Expected adverse market reaction]

**6-12 months:**
- [Continuation/deepening of the downside trend]
- [Secondary problems surfacing]
- [Deteriorating market sentiment]

**12-18 months:**
- [Outcome of the risk scenario]
- [Worst-case state]
- [Recovery path (if any)]

**Impact on economic indicators**:
[Assume figures worse than the Base Case]

**Downside risk factors**:
- [Factor that triggers this scenario 1]
- [Factor that triggers this scenario 2]

**Conditions that raise this scenario's probability**:
- [Condition 1]
- [Condition 2]

**Risk-mitigating factors**:
- [Factor that may mitigate this scenario 1]
- [Factor that may mitigate this scenario 2]

Scenario Playbooks by Event Type

1. Monetary Policy Event (Rate Hike)

Base Case (55%):

  • Rate hike implemented as expected
  • Market has largely priced it in
  • Mild equity dip, slight rise in bond yields

Bull Case (20%):

  • Hike smaller than expected
  • Dovish forward guidance
  • Equity-market rally

Bear Case (25%):

  • Hike larger than expected
  • Hawkish forward guidance
  • Sharp equity selloff, widening credit spreads

2. Geopolitical Event (Conflict Outbreak)

Base Case (50%):

  • Limited escalation of the conflict
  • Short-term rise in commodity prices
  • Situation stabilizes within a few months

Bull Case (15%):

  • Early ceasefire / peace agreement
  • Commodity prices normalize
  • Market recovers early

Bear Case (35%):

  • Prolonged / expanded conflict
  • Serious disruption of commodity supply
  • Accelerating global inflation, recession risk

3. Technology Shift (AI Regulation)

Base Case (50%):

  • Gradual introduction of regulation
  • Industry self-regulation predominates
  • Limited impact on innovation

Bull Case (25%):

  • Regulation formulated in a way favorable to the industry
  • Regulatory clarity actually accelerates investment
  • Entry barriers formed that favor incumbents

Bear Case (25%):

  • Strict regulation introduced
  • Significant restrictions on AI development
  • Decline in US companies' competitiveness

4. Corporate Event (Large M&A)

Base Case (60%):

  • Regulatory approval obtained
  • Closing on schedule
  • Gradual realization of integration synergies

Bull Case (15%):

  • Synergies realized beyond expectations
  • Integration goes smoothly
  • Additional M&A strategy succeeds

Bear Case (25%):

  • Blocked by regulators or conditional approval
  • Delay / failure of integration
  • Synergies not achieved

Scenario Quality Checklist

Internal Consistency

  • Are the assumptions of each scenario logically consistent?
  • Is the causality of the timeline development clear?
  • Are the economic-indicator forecasts mutually consistent?

External Validity

  • Is it consistent with past analogous events?
  • Does it appropriately reflect the current market environment?
  • Does it not diverge greatly from expert views?

Practicality

  • Is there enough specificity to be useful for investment decisions?
  • Are monitorable catalysts identified?
  • Are invalidation signals clear?

Comprehensiveness

  • Are the major risk scenarios included?
  • Is the upside possibility appropriately considered?
  • Is there mention of tail risk?

Common Mistakes and How to Avoid Them

1. Status-quo bias

Problem: Assigning excessive probability to the Base Case (70%+) Avoid: Recognize that historically the probability of "nothing changes" is low

2. Recency bias

Problem: Overestimating the impact of the most recent event Avoid: Maintain a long-term view, refer to past patterns

3. Confirmation bias

Problem: Adopting only interpretations aligned with the headline Avoid: Deliberately seek out opposing views

4. Excessive precision

Problem: Forecasting figures 18 months out to decimal places Avoid: Acknowledge uncertainty, express as a range

5. Scenario overlap

Problem: Base/Bull/Bear partially overlap Avoid: Clarify the boundary conditions of each scenario


Probability Update Guidelines

Probability adjustment when new information arrives:

Nature of new information Direction of probability adjustment
Data supporting a scenario +5-15%
Data contradicting a scenario -5-15%
Decisive evidence +20-30% or -20-30%
Emergence of a new risk factor Bear Case +5-10%
Resolution of a risk factor Bear Case -5-10%

After adjustment, always re-normalize to 100% total


Output Quality Standards

Characteristics of a high-quality scenario:

  1. Specificity: not abstract; includes figures, dates, names
  2. Logic: clear causality
  3. Verifiability: correctness can be judged later
  4. Practicality: includes information directly tied to investment decisions
  5. Humility: appropriately expresses uncertainty

Source: SKILL.md on GitHub

2 warnings16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill is safe. It outlines an orchestrator workflow that uses specialized subagents to analyze investment scenarios based on news headlines. No malicious patterns, obfuscation, or unauthorized access vectors were detected.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: MEDIUM · 1 issue

  • Runlayer7mo

    4/4 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 2a3359f. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 5 months ago

README badge

README badge for tradermonty/claude-trading-skills/scenario-analyzer