--- name: price-target-consensus description: Retrieve consensus price targets for any stock using Octagon MCP. Use when you need the average, median, high, and low analyst price targets to evaluate upside/downside potential and analyst agreement. --- # Price Target Consensus Retrieve consensus price target metrics including average, median, high, and low targets using the Octagon MCP server. ## Prerequisites Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See [references/mcp-setup.md](references/mcp-setup.md) for installation instructions. ## Workflow ### 1. Identify the Stock Determine the ticker symbol for the company you want to analyze (e.g., AAPL, MSFT, GOOGL). ### 2. Execute Query via Octagon MCP Use the `octagon-agent` tool with a natural language prompt: ``` Retrieve consensus price targets for the stock symbol . ``` **MCP Call Format:** ```json { "server": "octagon-mcp", "toolName": "octagon-agent", "arguments": { "prompt": "Retrieve consensus price targets for the stock symbol AAPL." } } ``` ### 3. Expected Output The agent returns consensus price target data: | Metric | Value | |--------|-------| | Consensus Target | $303.11 | | Median Target | $315.00 | | Target High | $350.00 | | Target Low | $220.00 | **Data Sources**: octagon-stock-data-agent ### 4. Interpret Results See [references/interpreting-results.md](references/interpreting-results.md) for guidance on: - Understanding consensus vs. median - Analyzing the target range - Calculating upside/downside - Evaluating analyst agreement ## Example Queries **Basic Query:** ``` Retrieve consensus price targets for the stock symbol AAPL. ``` **With Price Context:** ``` What is the consensus price target for TSLA and how does it compare to current price? ``` **Range Focus:** ``` What are the highest and lowest analyst price targets for NVDA? ``` **Comparison:** ``` Compare consensus price targets for AAPL, MSFT, and GOOGL. ``` **Upside Analysis:** ``` What upside does the consensus target imply for AMZN? ``` ## Understanding the Metrics ### Consensus Target | Aspect | Description | |--------|-------------| | Definition | Average of all analyst targets | | Calculation | Sum of targets / Number of analysts | | Use | General market expectation | | Limitation | Skewed by outliers | ### Median Target | Aspect | Description | |--------|-------------| | Definition | Middle value of all targets | | Calculation | 50th percentile | | Use | Central tendency, outlier-resistant | | Advantage | Less affected by extremes | ### Target High | Aspect | Description | |--------|-------------| | Definition | Most bullish analyst target | | Represents | Best-case scenario | | Use | Maximum upside potential | | Caution | May be overly optimistic | ### Target Low | Aspect | Description | |--------|-------------| | Definition | Most bearish analyst target | | Represents | Worst-case scenario | | Use | Downside risk assessment | | Caution | May be overly pessimistic | ## Calculating Potential ### Upside/Downside Formulas ``` Consensus Upside = (Consensus Target - Current Price) / Current Price × 100% Maximum Upside = (Target High - Current Price) / Current Price × 100% Downside Risk = (Target Low - Current Price) / Current Price × 100% ``` ### Example Calculations If AAPL trades at $270.01: | Metric | Target | Potential | |--------|--------|-----------| | Consensus | $303.11 | +12.3% upside | | Median | $315.00 | +16.7% upside | | High | $350.00 | +29.6% upside | | Low | $220.00 | -18.5% downside | ## Range Analysis ### Spread Calculation ``` Range = Target High - Target Low Spread % = Range / Consensus Target × 100% ``` ### Interpreting Spread | Spread % | Interpretation | |----------|----------------| | <20% | Strong consensus | | 20-40% | Normal range | | 40-60% | Moderate disagreement | | >60% | High uncertainty | ### Example Range Analysis From AAPL data: - High: $350.00 - Low: $220.00 - Range: $130.00 - Consensus: $303.11 - Spread: 42.9% **Interpretation**: Moderate disagreement among analysts, with significant difference between bulls and bears. ## Consensus vs. Median ### When to Use Each | Scenario | Prefer | |----------|--------| | Normal distribution | Consensus (average) | | Outliers present | Median | | Skewed targets | Median | | General expectation | Consensus | ### Identifying Skew | Condition | Indicates | |-----------|-----------| | Consensus > Median | Right skew (bullish outliers) | | Consensus < Median | Left skew (bearish outliers) | | Consensus ≈ Median | Symmetric distribution | ### Example From AAPL data: - Consensus: $303.11 - Median: $315.00 - Consensus < Median → Left skew (some bearish outliers pulling average down) ## Bull vs. Bear Cases ### Understanding Extremes | Target | Represents | |--------|------------| | High | Bull case assumptions | | Low | Bear case assumptions | | Gap | Range of outcomes | ### Scenario Analysis | Scenario | Assumptions | |----------|-------------| | Bull Case | Strong growth, expanding margins, favorable macro | | Base Case | Consensus expectations | | Bear Case | Challenges, competition, risks materialize | ## Practical Applications ### Investment Decision | Finding | Consideration | |---------|---------------| | Price < Low Target | Potential deep value or concerns | | Price near Consensus | Fairly valued | | Price > High Target | Potentially overvalued | ### Risk Assessment | Metric | Use For | |--------|---------| | Downside to Low | Worst-case loss | | Upside to High | Best-case gain | | Risk/Reward | Low upside / High downside | ### Position Sizing | Consensus View | Position Approach | |----------------|-------------------| | Strong upside, tight range | Larger position | | Moderate upside, wide range | Standard position | | Limited upside, wide range | Smaller position | ## Common Use Cases ### Quick Valuation Check ``` Is AAPL fairly valued based on analyst targets? ``` ### Upside Screening ``` Which tech stocks have the highest consensus upside? ``` ### Risk Assessment ``` What's the downside risk to the lowest analyst target for TSLA? ``` ### Sentiment Check ``` How wide is the range between bull and bear cases for NVDA? ``` ## Analysis Tips 1. **Compare to current price**: Calculate actual upside/downside. 2. **Use median when skewed**: More reliable central tendency. 3. **Analyze the range**: Wide = uncertainty, tight = agreement. 4. **Consider timing**: Targets are typically 12-month forward. 5. **Track changes**: Rising consensus = improving sentiment. 6. **Combine with fundamentals**: Targets are opinions, verify with data. ## Integration with Other Skills | Skill | Combined Use | |-------|--------------| | stock-quote | Current price for potential calculation | | price-target-summary | Historical target trends | | analyst-estimates | Earnings behind the targets | | financial-metrics-analysis | Fundamental validation |