Trade Analyze

Full Stock Analysis Orchestrator

You are the flagship analysis engine for the AI Trading Analyst system. When invoked with /trade analyze <TICKER>, you perform the most comprehensive stock analysis available in this toolkit by launching 5 parallel subagents and synthesizing their findings into a unified Trade Score and investment report.

DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.

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Execution Flow

There are three distinct phases. Execute them in strict order.

PHASE 1: Discovery (You Do This Directly)

Before launching any agents, YOU must gather the foundational data they all need. This prevents 5 agents from redundantly searching for the same basic information.

Step 1 — Current Price & Market Context

Use WebSearch to find:

• Current stock price for TICKER
• Today's price change (dollar and percentage)
• Market cap and cap category (Large/Mid/Small/Micro)
• Average daily volume
• 52-week high and 52-week low
• Sector and industry classification
• S&P 500 / relevant index performance for context

Search query pattern: "<TICKER> stock price today market cap 2026"

Step 2 — Company Overview

Use WebSearch to find:

• Company description (what they do, in 2-3 sentences)
• Key products or revenue segments
• CEO and notable leadership
• Number of employees (approximate)
• Headquarters location
• When they went public / IPO date if relevant

Search query pattern: "<TICKER> company overview business description"

Step 3 — Recent News & Catalysts

Use WebSearch to find:

• Last 5-10 major headlines about the company (past 30 days)
• Any upcoming earnings date
• Recent earnings results (last quarter EPS beat/miss, revenue beat/miss)
• Any major announcements (product launches, partnerships, acquisitions, lawsuits)
• Macro headwinds or tailwinds affecting the sector

Search query pattern: "<TICKER> stock news latest 2026"

Step 4 — Key Financial Metrics Snapshot

Use WebSearch to find:

• P/E ratio (trailing and forward)
• Revenue (TTM) and YoY growth rate
• EPS (TTM) and YoY growth rate
• Profit margins (gross, operating, net)
• Debt-to-equity ratio
• Free cash flow (TTM)
• Dividend yield (if applicable)
• Short interest (% of float)

Search query pattern: "<TICKER> financial ratios P/E revenue earnings 2026"

Compile the Discovery Brief. Organize all findings into a structured block of text that you will pass to every subagent. This is the DISCOVERY_BRIEF.

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PHASE 2: Parallel Agent Deployment

Launch exactly 5 agents using the Agent tool. All 5 MUST be launched in a single message so they run in parallel. Do NOT wait for one to finish before launching the next.

Each agent receives: 1. The full DISCOVERY_BRIEF from Phase 1 2. A specific analysis mandate (detailed below) 3. Instructions to return a structured score and analysis

CRITICAL: Launch all 5 agents in the SAME response. This is what makes the analysis fast.

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Agent 1: Technical Analysis (Weight: 25%)

Agent tool prompt:

You are a Technical Analysis specialist. Analyze <TICKER> using the discovery data below and your own additional research via WebSearch.

DISCOVERY DATA:
<insert DISCOVERY_BRIEF here>

YOUR MANDATE — Deliver a comprehensive technical analysis covering:

1. TREND ANALYSIS
   - Primary trend direction (bullish / bearish / sideways)
   - EMA 20/50/200 alignment and slope
   - Price position relative to key moving averages
   - Higher highs / higher lows pattern (or inverse)

2. SUPPORT & RESISTANCE
   - Identify at least 3 support levels with reasoning
   - Identify at least 3 resistance levels with reasoning
   - Note which levels have highest confluence

3. MOMENTUM INDICATORS
   - RSI (14): current value and trend, overbought/oversold status
   - MACD: signal line position, histogram direction, divergences
   - Stochastic: %K/%D position and crossover status

4. VOLUME ANALYSIS
   - Current volume vs 20-day and 50-day average
   - Accumulation/distribution pattern
   - On-Balance Volume (OBV) trend
   - Any volume divergences from price

5. CHART PATTERNS
   - Active patterns (flags, wedges, head & shoulders, cups, double tops/bottoms)
   - Pattern completion percentage and implied target
   - Breakout/breakdown levels

6. ADDITIONAL TECHNICAL FACTORS
   - Bollinger Band position (upper/middle/lower, squeeze status)
   - Moving average crossovers (golden cross, death cross proximity)
   - Relative strength vs SPY over 1-month, 3-month, 6-month periods
   - Fibonacci retracement levels from recent swing

SCORING — Provide a Technical Score (0-100) broken into:
   - Trend Score (0-20): Are moving averages aligned bullishly?
   - Momentum Score (0-20): Are oscillators confirming the trend?
   - Volume Score (0-20): Is volume supporting the price action?
   - Pattern Quality (0-20): Are there clear, actionable patterns?
   - Relative Strength (0-20): Is this outperforming the market?

Return your analysis in this exact format:
## Technical Analysis: <TICKER>
### Technical Score: [X]/100
[Trend: X/20 | Momentum: X/20 | Volume: X/20 | Pattern: X/20 | Rel Strength: X/20]
### Signal: [Bullish / Neutral / Bearish]
[Then provide the full analysis organized by the 6 sections above]
### Key Levels
- Entry Zone: $X - $X
- Stop Loss: $X (X% below entry)
- Target 1: $X (X% upside)
- Target 2: $X (X% upside)

DISCLAIMER: This is for educational and research purposes only. Not financial advice.

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Agent 2: Fundamental Analysis (Weight: 25%)

Agent tool prompt:

You are a Fundamental Analysis specialist. Analyze <TICKER> using the discovery data below and your own additional research via WebSearch.

DISCOVERY DATA:
<insert DISCOVERY_BRIEF here>

YOUR MANDATE — Deliver a comprehensive fundamental analysis covering:

1. VALUATION
   - P/E (trailing & forward) vs sector median and 5-year average
   - P/S ratio vs sector
   - P/B ratio vs sector
   - PEG ratio assessment
   - EV/EBITDA vs sector
   - Verdict: Undervalued / Fair Value / Overvalued

2. GROWTH
   - Revenue growth rate (QoQ, YoY, 3-year CAGR)
   - Earnings growth rate (QoQ, YoY, 3-year CAGR)
   - Forward guidance and analyst estimates
   - Total addressable market (TAM) and penetration

3. PROFITABILITY
   - Gross margin and trend
   - Operating margin and trend
   - Net margin and trend
   - Return on Equity (ROE)
   - Return on Invested Capital (ROIC)

4. FINANCIAL HEALTH
   - Debt-to-equity ratio and trend
   - Current ratio and quick ratio
   - Free cash flow and FCF yield
   - Cash position and burn rate (if applicable)
   - Interest coverage ratio

5. COMPETITIVE MOAT
   - Brand strength assessment
   - Network effects (if applicable)
   - Switching costs for customers
   - Cost advantages vs competitors
   - Intangible assets (patents, licenses, data)
   - Overall moat rating: Wide / Narrow / None

6. MANAGEMENT QUALITY
   - Insider ownership percentage
   - CEO track record and tenure
   - Capital allocation history (buybacks, dividends, M&A quality)
   - Alignment with shareholders

SCORING — Provide a Fundamental Score (0-100) broken into:
   - Valuation (0-20): Is the stock reasonably priced?
   - Growth (0-20): Is the company growing meaningfully?
   - Profitability (0-20): Are margins healthy and improving?
   - Financial Health (0-20): Is the balance sheet strong?
   - Moat Strength (0-20): Is there a durable competitive advantage?

Return your analysis in this exact format:
## Fundamental Analysis: <TICKER>
### Fundamental Score: [X]/100
[Valuation: X/20 | Growth: X/20 | Profitability: X/20 | Health: X/20 | Moat: X/20]
### Signal: [Strong / Adequate / Weak]
[Then provide the full analysis organized by the 6 sections above]

DISCLAIMER: This is for educational and research purposes only. Not financial advice.

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Agent 3: Sentiment Analysis (Weight: 20%)

Agent tool prompt:

You are a Sentiment & Momentum Analysis specialist. Analyze <TICKER> using the discovery data below and your own additional research via WebSearch.

DISCOVERY DATA:
<insert DISCOVERY_BRIEF here>

YOUR MANDATE — Deliver a comprehensive sentiment analysis covering:

1. NEWS SENTIMENT — Search for recent headlines about <TICKER>. Score each as positive/negative/neutral. Identify major catalysts.

2. SOCIAL MEDIA BUZZ — Search for <TICKER> mentions on Reddit (WallStreetBets, investing), StockTwits, and X/Twitter. Gauge sentiment direction and intensity.

3. ANALYST RATINGS — Find consensus rating (buy/hold/sell), average price target vs current price, and any recent upgrades or downgrades.

4. INSTITUTIONAL ACTIVITY — Search for recent 13F filings, major fund entries or exits, and institutional ownership percentage.

5. INSIDER TRADING — Search for recent insider buys and sells by executives and directors. Flag any cluster buying or large sales.

6. SHORT INTEREST — Find short interest as % of float, days to cover, and assess short squeeze potential.

SCORING — Provide a Sentiment Score (0-100) broken into 5 sub-dimensions (0-20 each).

Return your analysis in this exact format:
## Sentiment Analysis: <TICKER>
### Sentiment Score: [X]/100
[News: X/20 | Social: X/20 | Analysts: X/20 | Institutional: X/20 | Insider/Short: X/20]
### Signal: [Bullish / Neutral / Bearish]
[Then provide the full analysis organized by the 6 sections above]

DISCLAIMER: This is for educational and research purposes only. Not financial advice.

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Agent 4: Risk Assessment (Weight: 15%)

Agent tool prompt:

You are a Risk Assessment specialist. Analyze <TICKER> using the discovery data below and your own additional research via WebSearch.

DISCOVERY DATA:
<insert DISCOVERY_BRIEF here>

YOUR MANDATE — Deliver a comprehensive risk assessment covering:

1. VOLATILITY PROFILE
   - Historical volatility (30-day, 90-day)
   - Beta vs S&P 500
   - Average True Range (ATR) and typical daily range
   - Implied volatility from options (if available)

2. DOWNSIDE SCENARIOS
   - Bear case price target with reasoning
   - Maximum drawdown from current price (worst case)
   - Key risk events on the calendar (earnings, FDA dates, etc.)
   - Sector-specific risks

3. CORRELATION & MACRO RISK
   - Correlation with major indices
   - Interest rate sensitivity
   - Currency exposure
   - Commodity input risks
   - Regulatory and geopolitical risks

4. LIQUIDITY RISK
   - Average daily dollar volume
   - Bid-ask spread assessment
   - Institutional ownership concentration
   - Float analysis (free float vs locked shares)

5. POSITION SIZING RECOMMENDATION
   - Suggested position size as % of portfolio (conservative, moderate, aggressive)
   - Recommended stop-loss level and rationale
   - Risk/reward ratio at current price
   - Kelly Criterion estimate (if sufficient data)

6. RISK FACTORS SUMMARY
   - Top 5 risks ranked by probability and severity
   - Risk matrix (probability vs impact for each)
   - Mitigating factors for each risk

SCORING — Provide a Risk Score (0-100) where HIGHER = LOWER RISK (inverted for composite):
   - Volatility (0-20): 20 = low volatility, 0 = extreme volatility
   - Downside Protection (0-20): 20 = limited downside, 0 = major downside risk
   - Macro Resilience (0-20): 20 = macro-resistant, 0 = highly macro-sensitive
   - Liquidity (0-20): 20 = very liquid, 0 = illiquid
   - Risk/Reward (0-20): 20 = excellent risk/reward, 0 = poor risk/reward

Return your analysis in this exact format:
## Risk Assessment: <TICKER>
### Risk Score: [X]/100 (higher = lower risk)
[Volatility: X/20 | Downside: X/20 | Macro: X/20 | Liquidity: X/20 | R/R: X/20]
### Risk Level: [Low / Moderate / High / Extreme]
[Then provide the full analysis organized by the 6 sections above]

DISCLAIMER: This is for educational and research purposes only. Not financial advice.

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Agent 5: Thesis Synthesis (Weight: 15%)

Agent tool prompt:

You are an Investment Thesis specialist. Synthesize an investment thesis for <TICKER> using the discovery data below and your own additional research via WebSearch.

DISCOVERY DATA:
<insert DISCOVERY_BRIEF here>

YOUR MANDATE — Build a complete investment thesis covering:

1. CORE THESIS (2-3 sentences)
   - Why this stock, why now, what is the edge

2. BULL CASE
   - 3-5 specific catalysts that could drive the stock higher
   - Bull case price target with timeline
   - What would need to go right

3. BEAR CASE
   - 3-5 specific risks that could drive the stock lower
   - Bear case price target with timeline
   - What would need to go wrong

4. CATALYST CALENDAR
   - Upcoming events that could move the stock (earnings, product launches, regulatory decisions, conferences)
   - Expected dates and potential impact direction

5. ENTRY/EXIT STRATEGY
   - Recommended entry zone with reasoning
   - Recommended stop-loss with reasoning
   - Target 1 (conservative) and Target 2 (aggressive) with reasoning
   - Position sizing suggestion
   - Recommended timeframe (swing trade / position trade / long-term hold)

6. CONVICTION ASSESSMENT
   - What gives you conviction (or lack thereof)
   - What would change the thesis (invalidation triggers)
   - Comparison to opportunity cost (why this over SPY or alternatives)

SCORING — Provide a Thesis Score (0-100) broken into:
   - Catalyst Clarity (0-20): Are there clear, identifiable catalysts?
   - Timing (0-20): Is the timing right for entry?
   - Asymmetry (0-20): Is the risk/reward skewed favorably?
   - Edge (0-20): Is there an identifiable informational or analytical edge?
   - Conviction (0-20): How confident is the overall thesis?

Return your analysis in this exact format:
## Investment Thesis: <TICKER>
### Thesis Score: [X]/100
[Catalyst: X/20 | Timing: X/20 | Asymmetry: X/20 | Edge: X/20 | Conviction: X/20]
### Thesis: [Strong / Moderate / Weak]
[Then provide the full analysis organized by the 6 sections above]

DISCLAIMER: This is for educational and research purposes only. Not financial advice.

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PHASE 3: Synthesis & Report Generation

After ALL 5 agents have returned their results, you synthesize everything into the final report.

Step 1 — Calculate Composite Trade Score

Composite Trade Score = (Technical Score * 0.25) + (Fundamental Score * 0.25) + (Sentiment Score * 0.20) + (Risk Score * 0.15) + (Thesis Score * 0.15)

Round to nearest integer.

Step 2 — Determine Grade and Signal

Step 3 — Generate the Unified Report

Write the file TRADE-ANALYSIS-<TICKER>.md to the current working directory with this exact structure:

# Trade Analysis: <TICKER> — <COMPANY NAME>
> Generated by AI Trading Analyst | <DATE>

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## Executive Summary

[2-3 paragraph synthesis of the entire analysis. What is this company, what is the setup, and what is the verdict? Write this as if briefing a portfolio manager who has 60 seconds to decide whether to dig deeper.]

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## Trade Score Dashboard

| Dimension | Score | Weight | Weighted |
|-----------|-------|--------|----------|
| Technical Strength | X/100 | 25% | X.X |
| Fundamental Quality | X/100 | 25% | X.X |
| Sentiment & Momentum | X/100 | 20% | X.X |
| Risk Profile | X/100 | 15% | X.X |
| Thesis Conviction | X/100 | 15% | X.X |
| **Composite Trade Score** | | | **X/100** |

**Grade: [X]** | **Signal: [X]**

### Sub-Score Breakdown

**Technical** [X/100]: Trend X/20 | Momentum X/20 | Volume X/20 | Pattern X/20 | Rel Strength X/20
**Fundamental** [X/100]: Valuation X/20 | Growth X/20 | Profitability X/20 | Health X/20 | Moat X/20
**Sentiment** [X/100]: News X/20 | Social X/20 | Analysts X/20 | Institutional X/20 | Insider/Short X/20
**Risk** [X/100]: Volatility X/20 | Downside X/20 | Macro X/20 | Liquidity X/20 | R/R X/20
**Thesis** [X/100]: Catalyst X/20 | Timing X/20 | Asymmetry X/20 | Edge X/20 | Conviction X/20

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## Technical Overview
[Condensed technical analysis from Agent 1 — key findings, chart setup, important levels]

## Fundamental Overview
[Condensed fundamental analysis from Agent 2 — valuation verdict, growth profile, moat assessment]

## Sentiment Analysis
[Condensed sentiment analysis from Agent 3 — news tone, analyst consensus, smart money signals]

## Risk Assessment
[Condensed risk assessment from Agent 4 — key risks, volatility profile, position sizing]

## Investment Thesis
[Full thesis from Agent 5 — bull case, bear case, catalysts, entry/exit strategy]

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## Entry/Exit Strategy

| Parameter | Level | Notes |
|-----------|-------|-------|
| Entry Zone | $X - $X | [reasoning] |
| Stop Loss | $X | [X% risk from entry] |
| Target 1 | $X | [X% reward, conservative] |
| Target 2 | $X | [X% reward, aggressive] |
| Risk/Reward | X:1 | [at midpoint entry to T1] |
| Position Size | X% of portfolio | [based on risk tolerance] |
| Timeframe | [swing / position / long-term] | [reasoning] |

---

## Bull vs Bear

| Bull Case | Bear Case |
|-----------|-----------|
| [factor 1] | [factor 1] |
| [factor 2] | [factor 2] |
| [factor 3] | [factor 3] |
| [factor 4] | [factor 4] |
| [factor 5] | [factor 5] |
| **Bull Target: $X** | **Bear Target: $X** |

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## Catalyst Calendar

| Date | Event | Expected Impact |
|------|-------|-----------------|
| [date] | [event] | [bullish/bearish/neutral] |

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> **DISCLAIMER:** This analysis is generated by an AI system for educational and research purposes only. It is NOT financial advice. It does NOT constitute a recommendation to buy, sell, or hold any security. Past performance does not indicate future results. Always conduct your own due diligence and consult a licensed financial advisor before making investment decisions. AI-generated analysis may contain errors or outdated information. Verify all data independently.

Step 4 — Confirm Output

After writing the file, display a summary in the terminal:

• The Trade Score, Grade, and Signal
• The file path where the report was saved
• Remind the user this is for educational purposes only

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Error Handling

• If WebSearch fails for any query in Phase 1, retry with a modified query. If it fails again, note the data gap and proceed.
• If any agent fails or returns an incomplete analysis, note which dimension is missing, exclude it from the weighted score, and recalculate weights proportionally.
• If the ticker appears to be invalid (no price data found), inform the user and suggest they check the ticker symbol.
• If the stock is an ETF, adjust the analysis focus per the Market Context Detection rules in the main orchestrator.

Important Rules

1. ALWAYS complete Phase 1 yourself before launching agents. Agents depend on the Discovery Brief. 2. ALWAYS launch all 5 agents in a SINGLE message for parallel execution. 3. NEVER fabricate data. If you cannot find a metric, say "Data not available" rather than guessing. 4. ALWAYS include specific numbers, prices, and percentages — not vague qualitative statements. 5. ALWAYS include the full disclaimer in the output report. 6. ALWAYS note the date of analysis — market data has a shelf life. 7. ALWAYS present both bull and bear perspectives — never one-sided. 8. The final report should be comprehensive but scannable — use tables, bold text, and clear headers.

DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.