scenario-analyzer
Analyze news headlines, policy announcements, or geopolitical events to build 18-month probabilistic scenarios for Indian markets. Use when the user provides a headline or asks about the market impact of RBI policy, government announcements, global events, budget, or sector-speci
Install
npx skills add https://github.com/ajeeshworkspace/indian-trading-skills/tree/master/skills/scenario-analyzer
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install ajeeshworkspace-indian-trading-skills@llmmart
git clone https://github.com/ajeeshworkspace/indian-trading-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole ajeeshworkspace/indian-trading-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Scenario Analyzer (India Markets)
Overview
This skill takes a news headline or event and builds probabilistic 18-month scenarios with cascading 1st, 2nd, and 3rd order sector impacts and specific stock recommendations for the Indian market.
Architecture
Skill (Orchestrator)
├── Phase 1: Preparation
│ ├── Headline parsing (keywords, entities, actions, numbers)
│ ├── Event classification
│ └── Load references
├── Phase 2: Analysis
│ ├── Collect related news (past 2 weeks via WebSearch)
│ ├── Build 3 scenarios (Base/Bull/Bear, probabilities sum to 100%)
│ ├── Map 1°/2°/3° sector impacts
│ └── Identify 3-5 positive + 3-5 negative impact stocks
└── Phase 3: Report Generation
├── Compile findings
├── Assess scenario probability distribution
└── Save report
Event Classification
Classify the headline into one of these categories:
| Category | Indian Context Examples |
|---|---|
| Monetary Policy | RBI rate decision, CRR/SLR change, liquidity measures |
| Fiscal Policy | Union Budget, GST changes, PLI schemes, disinvestment |
| Geopolitical | India-China border, India-Pakistan, Russia-Ukraine, Middle East |
| Commodity | Crude oil shock, gold prices, metal tariffs, food inflation |
| Regulatory | SEBI rules, RBI NPA norms, telecom spectrum, pharma FDA |
| Corporate | Major M&A, earnings surprise, promoter pledging, fraud |
| Global Macro | Fed rate decision, US recession, China slowdown, tariffs |
| Weather/Agriculture | Monsoon forecast, crop damage, food prices |
| Elections/Political | State elections, central govt policy shifts |
Workflow
Phase 1: Preparation
Parse the Headline
- Extract key entities (companies, sectors, countries, institutions)
- Identify the action (increase, decrease, ban, approve, delay)
- Note any numbers (rate changes, ₹ amounts, percentages)
- Classify the event type
Load References
Read: references/headline_event_patterns.md Read: references/sector_sensitivity_matrix.md Read: references/scenario_playbooks.md
Phase 2: Analysis
Collect Context
- Use WebSearch to find related news from the past 2 weeks
- Identify any pre-existing trends or expectations
- Note market's initial reaction if available
Build 3 Scenarios
For each scenario:
- Name: Descriptive title
- Probability: Must sum to 100% across all 3
- Timeline: 3 phases (0-6 months, 6-12 months, 12-18 months)
- Description: What unfolds in each phase
- Key Assumptions: What must hold true
Typical structure:
- Base Case (40-55%): Most likely outcome given current trajectory
- Bull Case (20-35%): Optimistic scenario with positive catalysts
- Bear Case (15-30%): Pessimistic scenario with adverse developments
Map Sector Impacts
For each scenario, assess impacts using the sector sensitivity matrix:
Order Definition Example (RBI Rate Cut) 1st Direct, immediate Banks: NIM compression, Housing: demand boost 2nd Indirect, 3-6 months Auto: loan demand, Real estate: prices 3rd Tertiary, 6-18 months Cement: construction demand, Durables: consumer spending Use NSE sectoral indices:
- Nifty Bank, Nifty IT, Nifty Pharma, Nifty Auto, Nifty FMCG
- Nifty Metal, Nifty Realty, Nifty Energy, Nifty Infra
- Nifty PSU Bank, Nifty Private Bank, Nifty Financial Services
Identify Stock Impacts
For each scenario:
- 3-5 stocks that benefit most (positive impact)
- 3-5 stocks that suffer most (negative impact)
For each stock, provide:
- Ticker (NSE symbol)
- Current price (use broker MCP
get_ltp— Groww or Zerodha Kite — if available) - Impact channel (why this stock is affected)
- Magnitude estimate (High/Medium/Low)
Phase 3: Report Generation
Generate Report
Save as
reports/scenario_analysis_<topic>_YYYYMMDD.mdwith sections:- Related News (5-10 recent articles with sources)
- Scenario Overview (3 scenarios with probabilities)
- Timeline (0-6m, 6-12m, 12-18m phases for base case)
- Sector Impact Matrix (1°/2°/3° impacts per sector)
- Positive Impact Stocks (3-5 with rationale)
- Negative Impact Stocks (3-5 with rationale)
- Investment Implications (actionable takeaways)
- Risk to Scenarios (what could shift probabilities)
- Disclaimer
Quality Standards
- All probabilities must sum to 100%
- Every impact claim must have a causal chain (event → mechanism → impact)
- Stock picks must include the impact channel, not just "will benefit"
- Consider second-order effects (e.g., rate cut → weak INR → IT sector benefit)
- Flag any confirmation bias in scenario construction
- Include both sectors that benefit AND those that lose
Example Usage
User: "RBI cuts repo rate by 25 bps to 6%"
Analyst:
1. Classification: Monetary Policy
2. Key entities: RBI, repo rate, 25 bps, 6%
3. Collects recent RBI commentary and market expectations
4. Scenarios:
- Base (50%): One more cut expected → banks pass on, housing demand rises
- Bull (30%): Cycle of 75-100 bps cuts → strong credit growth, equity rally
- Bear (20%): Global inflation returns → RBI pauses → rate-sensitive sell-off
5. 1° impacts: Banks, NBFCs, Housing Finance, Auto
6. 2° impacts: Real Estate, Consumer Durables
7. 3° impacts: Cement, Infrastructure
8. Stock picks: HDFCBANK, BAJFINANCE, GODREJPROP (positive); IT exporters if INR weakens
Resources
references/headline_event_patterns.md
Historical Indian market event patterns and reactions.
references/sector_sensitivity_matrix.md
Event type × NSE sector impact matrix.
references/scenario_playbooks.md
Scenario construction templates with Indian market context.
Files (indian-trading-skills)
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references
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headline_event_patterns.md 4 KB
# Indian Market Event Patterns Historical patterns of how Indian markets react to major events. Use these as reference points — not predictions — when building scenarios. ## RBI Monetary Policy ### Rate Cut - **Immediate**: Banks rally 1-3%, rate-sensitive sectors positive - **1-3 months**: Housing finance, auto, real estate benefit from cheaper loans - **Caveat**: If cut is smaller than expected, market may sell off despite the cut ### Rate Hike - **Immediate**: Banks mixed (NIM expands but growth fears), IT neutral - **1-3 months**: NBFCs, housing finance under pressure; PSU banks may benefit from NIM - **Caveat**: If hike is "last in cycle," markets often rally ### RBI Policy Hold (Pause) - **Immediate**: Muted reaction if expected; relief rally if hike was feared - **Key**: Tone matters more than action (hawkish pause vs dovish pause) ## Union Budget ### Capex Increase Announcement - **Immediate**: Infra, capital goods, cement rally 3-5% - **Beneficiaries**: L&T, Ultratech, ABB, Siemens, BHEL - **Duration**: Capex-led rallies last 2-4 weeks typically ### Tax Changes - **Income tax relief**: Consumer, FMCG, auto, discretionary spending - **Corporate tax cut**: Broad market rally, financials lead - **Capital gains tax hike**: Immediate sell-off, typically 2-5% correction ### Disinvestment - **PSU stocks**: Rally on divestment target announcement, fade on execution delays - **Historical pattern**: Targets frequently missed, leading to PSU underperformance in H2 ## Crude Oil Shock ### Crude Up >10% - **Immediate**: OMCs (BPCL, HPCL, IOC) drop 3-8%; Airlines (IndiGo) drop - **2nd order**: Paints, chemicals under input cost pressure - **3rd order**: Current account deficit widens → INR weakens → IT benefits - **Pattern**: Nifty typically corrects 3-5% on sustained crude above $90 ### Crude Down >10% - **Immediate**: OMCs, airlines, paints rally; Oil producers (ONGC) fall - **Positive chain**: Lower inflation → RBI rate cut expectations → rate-sensitive rally ## Global Risk-Off Events ### US Recession Fears - **FII selling**: ₹3,000-10,000 crore/day outflows possible - **Sectors hit**: IT (revenue fears), metals (demand fears) - **Safe havens**: FMCG, pharma, utilities - **Pattern**: DII buying (SIPs) provides floor but can't prevent 10-15% corrections ### US Fed Rate Decision - **Rate hike**: INR weakens, FII outflows; IT sector benefits from weak INR - **Rate cut**: Emerging market flows → FII inflows → Nifty rally - **Dot plot matters**: Forward guidance more important than actual decision ## India-Specific Events ### General Elections - **Pre-election (3 months)**: Uncertainty, range-bound market - **Election result (BJP/NDA win)**: 3-8% rally, infra and PSU stocks lead - **Hung Parliament**: 5-10% correction, defensive sectors outperform - **Historical**: Markets have rallied post-election regardless of winner (75% of time) ### Monsoon - **Good monsoon forecast**: Agri inputs (fertilizers, pesticides), rural consumption, two-wheelers - **Poor monsoon**: FMCG rural demand impact, food inflation → RBI tightening risk - **Pattern**: Monsoon impact is gradual (June-September), not a single-day event ### India-China Tensions - **Immediate**: Broad market sell-off 2-4%, defense stocks rally - **Beneficiaries**: BEL, HAL, BDL on defense spending expectations - **Pattern**: Market recovers within 2-4 weeks unless escalation continues ## Corporate Events ### Major Earnings Surprise (>10% Beat) - **Immediate**: Stock gaps up 5-15% - **Sector effect**: Peers rally in sympathy (e.g., INFY beat → WIPRO, TCS rally) - **Duration**: Momentum continues for 2-4 weeks if accompanied by guidance raise ### Promoter Pledge Increase - **Signal**: Negative — indicates financial stress at promoter level - **Pattern**: Stock typically declines 5-15% over following month - **Red flag level**: Pledge >50% of holdings is severe risk ### SEBI Enforcement Action - **Target company**: Sharp decline, potentially multi-day lower circuits - **Sector contagion**: Limited unless systemic (e.g., Adani event affected all Adani group + broader market sentiment) -
scenario_playbooks.md 5.4 KB
# Scenario Playbooks — Indian Markets Templates for building structured scenarios from headlines. Follow the MECE principle: scenarios must be Mutually Exclusive and Collectively Exhaustive (probabilities sum to 100%). ## Scenario Construction Template ### Structure ``` Scenario: [Name] Probability: [X]% Timeline: 18 months, divided into 3 phases Phase 1 (0-6 months): [What happens immediately] Phase 2 (6-12 months): [How it evolves] Phase 3 (12-18 months): [End state] Key Assumptions: - [What must hold true for this scenario] - [External conditions required] Triggers to Watch: - [What would increase this scenario's probability] - [What would decrease it] ``` ### Probability Distribution Guidelines | Market Consensus | Base Case | Bull Case | Bear Case | |-----------------|-----------|-----------|-----------| | Strong consensus | 50-60% | 20-30% | 15-25% | | Divided views | 35-45% | 25-35% | 25-35% | | High uncertainty | 30-40% | 25-35% | 30-40% | ## Playbook 1: RBI Policy Decision ### Base Case (50%): Gradual Easing - Phase 1: 1-2 rate cuts of 25 bps each - Phase 2: Transmission to lending rates, credit growth picks up - Phase 3: GDP acceleration, corporate earnings growth - Nifty impact: +8-12% over 18 months - Beneficiaries: Banks, auto, realty, consumer discretionary ### Bull Case (25%): Aggressive Easing - Phase 1: 50 bps cut + liquidity measures - Phase 2: Strong credit growth, housing boom - Phase 3: Capex cycle revival, broad-based rally - Nifty impact: +15-25% over 18 months - Beneficiaries: Rate-sensitive sectors, mid/small-caps ### Bear Case (25%): Policy Reversal - Phase 1: Inflation surprise forces pause or reversal - Phase 2: Global tightening spills over, INR pressure - Phase 3: Stagflation risk, earnings downgrades - Nifty impact: -5-15% over 18 months - Defensive: Pharma, IT, FMCG ## Playbook 2: Global Risk-Off Event ### Base Case (45%): Contained Impact - Phase 1: FII outflows ₹20,000-40,000 crore over 2-3 months - Phase 2: DII absorption, market stabilizes 10% below peak - Phase 3: FII returns as India growth story intact - Nifty impact: -10-15% correction, full recovery in 12-15 months ### Bull Case (25%): India Decoupling - Phase 1: Initial sell-off 5-8%, quick recovery - Phase 2: India seen as relative safe haven among EMs - Phase 3: Premium valuation, FII flows accelerate - Nifty impact: Flat to +5% over 18 months ### Bear Case (30%): Contagion - Phase 1: FII outflows >₹1 lakh crore, Nifty drops 15-20% - Phase 2: INR depreciation >5%, imported inflation, RBI forced to tighten - Phase 3: Earnings downgrades, PE de-rating - Nifty impact: -20-30% over 18 months ## Playbook 3: Crude Oil Spike ### Base Case (45%): Temporary Spike - Phase 1: Crude at $90-100, OMC margins compressed - Phase 2: OPEC+ responds, prices stabilize - Phase 3: Gradual normalization to $75-85 - Nifty impact: -5-8% correction, recovery in 6 months ### Bull Case (25%): Quick Resolution - Phase 1: Brief spike above $90, then rapid decline - Phase 2: Crude settles below $80 - Phase 3: India benefits from lower input costs - Nifty impact: Brief -3% dip, then +5-10% rally ### Bear Case (30%): Sustained High Prices - Phase 1: Crude sustained above $100 for 3+ months - Phase 2: Current account deficit widens, fiscal pressure - Phase 3: RBI tightens, growth slows - Nifty impact: -15-20% over 18 months ## Playbook 4: Union Budget ### Base Case (50%): Continuity Budget - Phase 1: Capex maintained/increased, fiscal discipline continued - Phase 2: Infrastructure spending flows to order books - Phase 3: GDP growth sustained at 6.5-7% - Nifty impact: Neutral to +5% over 6 months ### Bull Case (30%): Reform Budget - Phase 1: Major tax reforms + capex increase + disinvestment push - Phase 2: Corporate earnings upgrade cycle - Phase 3: India valuation re-rating - Nifty impact: +10-15% over 12 months ### Bear Case (20%): Populist Budget - Phase 1: Fiscal slippage, populist spending, no reforms - Phase 2: Bond yields rise, RBI credibility concerns - Phase 3: Foreign investor confidence hit - Nifty impact: -5-10% over 6 months ## Impact Cascade Template ``` 1° Impact (Immediate, 0-1 month): - Sectors: [List with +/- magnitude] - Stocks: [3-5 most affected] - Mechanism: [Direct causal link] 2° Impact (Short-term, 1-6 months): - Sectors: [List with +/- magnitude] - Stocks: [3-5 affected through indirect channels] - Mechanism: [How 1° effects cascade] 3° Impact (Medium-term, 6-18 months): - Sectors: [List with +/- magnitude] - Stocks: [3-5 beneficiaries/losers of structural shift] - Mechanism: [How 2° effects create new dynamics] ``` ## Key Economic Indicators for India Track these to calibrate scenario probabilities: | Indicator | Source | Frequency | Impact On | |-----------|--------|-----------|-----------| | CPI Inflation | MOSPI | Monthly | RBI policy, rate-sensitive sectors | | GDP Growth | MOSPI/RBI | Quarterly | Broad market, earnings | | IIP (Industrial Production) | MOSPI | Monthly | Manufacturing, capital goods | | Trade Balance | DGFT | Monthly | INR, IT, pharma | | FII/DII Flows | NSDL/NSE | Daily | Market direction, sector rotation | | PMI Manufacturing | S&P Global | Monthly | Cyclicals, metals | | GST Collections | Finance Ministry | Monthly | Consumer, government spending | | Credit Growth | RBI | Monthly | Banks, economy | | Auto Sales | SIAM | Monthly | Auto sector, consumer sentiment | | Cement Production | CMA | Monthly | Infrastructure, realty | -
sector_sensitivity_matrix.md 4.4 KB
# Sector Sensitivity Matrix — Indian Markets Maps event types to their impact on NSE sectoral indices. Impact rated as: **High** (H), **Medium** (M), **Low** (L), **Positive** (+) or **Negative** (-). ## Event × Sector Impact Matrix | Event | Banks | IT | Pharma | Auto | FMCG | Metal | Realty | Energy | Infra | Telecom | |-------|-------|-----|--------|------|------|-------|--------|--------|-------|---------| | RBI Rate Cut | H+ | L | L | H+ | M+ | L | H+ | L | M+ | L | | RBI Rate Hike | H- | L | L | M- | L | L | H- | L | M- | L | | INR Depreciation | M- | H+ | H+ | M- | L | M- | L | M- | L | L | | INR Appreciation | M+ | H- | H- | M+ | L | M+ | L | M+ | L | L | | Crude Up | L | L | L | M- | L | L | L | H+/- | L | L | | Crude Down | L | L | L | M+ | L | L | L | H-/+ | L | L | | US Recession | M- | H- | M+ | M- | M+ | H- | M- | M- | M- | L | | Global Growth | M+ | H+ | L | M+ | L | H+ | M+ | M+ | M+ | L | | Budget Capex | L | L | L | L | L | M+ | M+ | L | H+ | L | | Income Tax Cut | M+ | L | L | M+ | H+ | L | M+ | L | L | L | | Monsoon (Good) | M+ | L | L | M+ | H+ | L | L | L | L | L | | Monsoon (Poor) | M- | L | L | L | M- | L | L | L | L | L | | FII Outflows | H- | M- | M- | M- | L | M- | M- | M- | M- | L | | FII Inflows | H+ | M+ | L | M+ | L | M+ | M+ | M+ | M+ | L | | China Slowdown | L | L | L | L | L | H- | L | M- | L | L | | Food Inflation | M- | L | L | L | M- | L | L | L | L | L | | Defense Spending | L | L | L | L | L | L | L | L | M+ | L | ## Sector Profiles ### Nifty Bank (Weight: ~33% of Nifty 50) - **Primary drivers**: Interest rates, credit growth, asset quality (NPA) - **Most sensitive to**: RBI policy, global liquidity, FII flows - **Sub-sectors**: Private banks (HDFC, ICICI, Kotak), PSU banks (SBI, BOB, PNB), NBFCs (Bajaj Finance) ### Nifty IT (Weight: ~14%) - **Primary drivers**: USD/INR, US tech spending, deal wins - **Most sensitive to**: INR movement, US economic outlook, visa policies - **Inverse correlation**: Often moves opposite to banking/rate-sensitive sectors ### Nifty Pharma (Weight: ~4%) - **Primary drivers**: US FDA approvals, ANDA pipeline, domestic formulations - **Most sensitive to**: USD/INR (exports), FDA regulatory actions - **Defensive**: Outperforms during risk-off, underperforms in strong bull markets ### Nifty Auto (Weight: ~6%) - **Primary drivers**: Interest rates, fuel prices, monsoon (rural demand), EV transition - **Most sensitive to**: Consumer sentiment, commodity prices (steel input cost) - **Sub-segments**: Passenger vehicles (Maruti, M&M), Two-wheelers (Hero, Bajaj), Commercial vehicles (Tata Motors, Ashok Leyland) ### Nifty FMCG (Weight: ~8%) - **Primary drivers**: Rural demand, monsoon, raw material costs - **Most sensitive to**: Consumer inflation, monsoon, income tax changes - **Defensive**: Low beta, steady in corrections, underperforms in strong rallies ### Nifty Metal (Weight: ~3%) - **Primary drivers**: Global commodity prices, China demand, US infrastructure - **Most sensitive to**: China PMI, global trade tensions, USD strength - **Cyclical**: High beta, large swings with commodity cycles ### Nifty Realty (Weight: ~2%) - **Primary drivers**: Interest rates, regulatory (RERA), demand cycles - **Most sensitive to**: RBI rate decisions, housing demand, liquidity - **High beta**: Amplifies both up and down moves ### Nifty Energy (Weight: ~12%) - **Primary drivers**: Crude oil prices, government subsidy policy, gas pricing - **Complex**: Oil producers (ONGC, Oil India) benefit from high crude; OMCs (BPCL, HPCL) suffer - **Key distinction**: Upstream (positive crude correlation) vs downstream (negative) ### Nifty Infrastructure (Weight: ~5%) - **Primary drivers**: Government capex, budget allocation, order inflows - **Most sensitive to**: Budget announcements, government spending pace - **Key stocks**: L&T, Adani Ports, Ultratech Cement ## Using This Matrix 1. **Identify the event type** from the headline 2. **Look up the row** in the matrix for direct impact sectors 3. **Follow the cascade**: 1° impact → 2° impact → 3° impact 4. **Verify with historical patterns** from headline_event_patterns.md 5. **Consider timing**: Some impacts are immediate, others take months ### Example: "RBI Cuts Rate by 25 bps" 1° (Immediate): Banks (H+), Realty (H+), Auto (H+) 2° (1-3 months): NBFC (M+), Housing Finance (M+), Consumer Durables (M+) 3° (3-6 months): Cement (L+), Infrastructure (M+), FMCG rural (L+)
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SKILL.md 6.3 KB
--- name: scenario-analyzer description: Analyze news headlines, policy announcements, or geopolitical events to build 18-month probabilistic scenarios for Indian markets. Use when the user provides a headline or asks about the market impact of RBI policy, government announcements, global events, budget, or sector-specific news on NSE/BSE stocks. --- # Scenario Analyzer (India Markets) ## Overview This skill takes a news headline or event and builds probabilistic 18-month scenarios with cascading 1st, 2nd, and 3rd order sector impacts and specific stock recommendations for the Indian market. ## Architecture ``` Skill (Orchestrator) ├── Phase 1: Preparation │ ├── Headline parsing (keywords, entities, actions, numbers) │ ├── Event classification │ └── Load references ├── Phase 2: Analysis │ ├── Collect related news (past 2 weeks via WebSearch) │ ├── Build 3 scenarios (Base/Bull/Bear, probabilities sum to 100%) │ ├── Map 1°/2°/3° sector impacts │ └── Identify 3-5 positive + 3-5 negative impact stocks └── Phase 3: Report Generation ├── Compile findings ├── Assess scenario probability distribution └── Save report ``` ## Event Classification Classify the headline into one of these categories: | Category | Indian Context Examples | |----------|----------------------| | **Monetary Policy** | RBI rate decision, CRR/SLR change, liquidity measures | | **Fiscal Policy** | Union Budget, GST changes, PLI schemes, disinvestment | | **Geopolitical** | India-China border, India-Pakistan, Russia-Ukraine, Middle East | | **Commodity** | Crude oil shock, gold prices, metal tariffs, food inflation | | **Regulatory** | SEBI rules, RBI NPA norms, telecom spectrum, pharma FDA | | **Corporate** | Major M&A, earnings surprise, promoter pledging, fraud | | **Global Macro** | Fed rate decision, US recession, China slowdown, tariffs | | **Weather/Agriculture** | Monsoon forecast, crop damage, food prices | | **Elections/Political** | State elections, central govt policy shifts | ## Workflow ### Phase 1: Preparation 1. **Parse the Headline** - Extract key entities (companies, sectors, countries, institutions) - Identify the action (increase, decrease, ban, approve, delay) - Note any numbers (rate changes, ₹ amounts, percentages) - Classify the event type 2. **Load References** ``` Read: references/headline_event_patterns.md Read: references/sector_sensitivity_matrix.md Read: references/scenario_playbooks.md ``` ### Phase 2: Analysis 3. **Collect Context** - Use WebSearch to find related news from the past 2 weeks - Identify any pre-existing trends or expectations - Note market's initial reaction if available 4. **Build 3 Scenarios** For each scenario: - **Name**: Descriptive title - **Probability**: Must sum to 100% across all 3 - **Timeline**: 3 phases (0-6 months, 6-12 months, 12-18 months) - **Description**: What unfolds in each phase - **Key Assumptions**: What must hold true Typical structure: - **Base Case (40-55%)**: Most likely outcome given current trajectory - **Bull Case (20-35%)**: Optimistic scenario with positive catalysts - **Bear Case (15-30%)**: Pessimistic scenario with adverse developments 5. **Map Sector Impacts** For each scenario, assess impacts using the sector sensitivity matrix: | Order | Definition | Example (RBI Rate Cut) | |-------|-----------|----------------------| | 1st | Direct, immediate | Banks: NIM compression, Housing: demand boost | | 2nd | Indirect, 3-6 months | Auto: loan demand, Real estate: prices | | 3rd | Tertiary, 6-18 months | Cement: construction demand, Durables: consumer spending | Use NSE sectoral indices: - Nifty Bank, Nifty IT, Nifty Pharma, Nifty Auto, Nifty FMCG - Nifty Metal, Nifty Realty, Nifty Energy, Nifty Infra - Nifty PSU Bank, Nifty Private Bank, Nifty Financial Services 6. **Identify Stock Impacts** For each scenario: - 3-5 stocks that benefit most (positive impact) - 3-5 stocks that suffer most (negative impact) For each stock, provide: - Ticker (NSE symbol) - Current price (use broker MCP `get_ltp` — Groww or Zerodha Kite — if available) - Impact channel (why this stock is affected) - Magnitude estimate (High/Medium/Low) ### Phase 3: Report Generation 7. **Generate Report** Save as `reports/scenario_analysis_<topic>_YYYYMMDD.md` with sections: 1. **Related News** (5-10 recent articles with sources) 2. **Scenario Overview** (3 scenarios with probabilities) 3. **Timeline** (0-6m, 6-12m, 12-18m phases for base case) 4. **Sector Impact Matrix** (1°/2°/3° impacts per sector) 5. **Positive Impact Stocks** (3-5 with rationale) 6. **Negative Impact Stocks** (3-5 with rationale) 7. **Investment Implications** (actionable takeaways) 8. **Risk to Scenarios** (what could shift probabilities) 9. **Disclaimer** ## Quality Standards - All probabilities must sum to 100% - Every impact claim must have a causal chain (event → mechanism → impact) - Stock picks must include the impact channel, not just "will benefit" - Consider second-order effects (e.g., rate cut → weak INR → IT sector benefit) - Flag any confirmation bias in scenario construction - Include both sectors that benefit AND those that lose ## Example Usage ``` User: "RBI cuts repo rate by 25 bps to 6%" Analyst: 1. Classification: Monetary Policy 2. Key entities: RBI, repo rate, 25 bps, 6% 3. Collects recent RBI commentary and market expectations 4. Scenarios: - Base (50%): One more cut expected → banks pass on, housing demand rises - Bull (30%): Cycle of 75-100 bps cuts → strong credit growth, equity rally - Bear (20%): Global inflation returns → RBI pauses → rate-sensitive sell-off 5. 1° impacts: Banks, NBFCs, Housing Finance, Auto 6. 2° impacts: Real Estate, Consumer Durables 7. 3° impacts: Cement, Infrastructure 8. Stock picks: HDFCBANK, BAJFINANCE, GODREJPROP (positive); IT exporters if INR weakens ``` ## Resources ### references/headline_event_patterns.md Historical Indian market event patterns and reactions. ### references/sector_sensitivity_matrix.md Event type × NSE sector impact matrix. ### references/scenario_playbooks.md Scenario construction templates with Indian market context.
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