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historical-market-cap

historical-market-cap

github.com/octagonaiData & databases130255 installsUpdated 21w ago
Repository

About historical-market-cap

This skill retrieves historical market capitalization for a specified date range using Octagon MCP. It is intended for researchers tracking company valuations and can return daily values and period high-low statistics.

Key features

  1. 01Retrieve market cap for a date range
  2. 02Set ticker and optional record limit
  3. 03View daily market cap values
  4. 04Get period high and low statistics

Use cases

  1. 01Track long-term company valuation trends
  2. 02Find market cap peaks in a period
  3. 03Analyze drawdowns and volatility
  4. 04Compare market cap changes across companies

MCP support

It requests historical market cap data through Octagon MCP’s octagon-agent tool; the documented data source is octagon-stock-data-agent.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/octagonai/skills --skill historical-market-cap

After installing, type/historical-market-capin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

marketplace.json
README.md
references/
interpreting-results.md
mcp-setup.md

Details

From the project README

Historical Market Cap

Retrieve historical market capitalization data over a specified date range 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 for installation instructions.

Workflow

1. Identify Parameters

Determine your query parameters:

  • Ticker: Stock symbol (e.g., AAPL, MSFT)
  • Start Date: Beginning of date range
  • End Date: End of date range
  • Limit (optional): Maximum records to return
2. Execute Query via Octagon MCP

Use the octagon-agent tool with a natural language prompt:

Retrieve historical market capitalization data for <TICKER> from <START_DATE> to <END_DATE>, limited to <LIMIT> records.

MCP Call Format:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve historical market capitalization data for AAPL from 2025-01-01 to 2025-04-30, limited to 1000 records."
  }
}
3. Expected Output

The agent returns daily market cap values:

DateMarket Cap (USD)
2025-04-30$3.17 trillion
2025-02-25$3.70 trillion (High)
2025-04-08$2.57 trillion (Low)
......

Summary Statistics:

  • Highest: $3.70 trillion on 2025-02-25
  • Lowest: $2.57 trillion on 2025-04-08
  • Most Recent: $3.17 trillion on 2025-04-30

Data Sources: octagon-stock-data-agent

4. Interpret Results

See references/interpreting-results.md for guidance on:

  • Analyzing market cap trends
  • Calculating growth rates
  • Identifying peaks and troughs
  • Understanding volatility

Example Queries

Standard Date Range:

Retrieve historical market capitalization data for AAPL from 2025-01-01 to 2025-04-30, limited to 1000 records.

Full Year:

Get historical market cap for MSFT for the entire year 2024.

Quarterly Analysis:

Show TSLA's market cap history for Q1 2025.

Multi-Year Trend:

Retrieve market cap history for NVDA from 2020 to 2025.

Peak Analysis:

When did AAPL reach its highest market cap in 2024?

Understanding Market Cap History

What the Data Shows
MetricDescription
Daily Market CapEnd-of-day value
Date SeriesTrading days only
CalculationPrice × Shares Outstanding
AdjustmentsSplit-adjusted shares
Key Statistics
StatisticPurpose
MaximumPeak valuation
MinimumTrough valuation
AverageTypical valuation
RangeVolatility indicator

Trend Analysis

Calculating Changes
MetricFormula
Absolute ChangeEnd Cap - Start Cap
Percentage Change(End - Start) / Start × 100%
CAGR(End/Start)^(1/years) - 1
Example Calculation

From the AAPL data:

  • High: $3.70T (Feb 25)
  • Low: $2.57T (Apr 8)
  • Range: $1.13T
  • Peak-to-Trough: -30.5%
Trend Patterns
PatternCharacteristics
UptrendHigher highs, higher lows
DowntrendLower highs, lower lows
ConsolidationRange-bound
V-RecoverySharp decline, sharp recovery
Rounded TopGradual peak formation

Period Analysis

Daily Analysis
Use CaseFocus
TradingShort-term moves
VolatilityDay-to-day changes
EventsCatalyst impact
Weekly/Monthly Analysis
Use CaseFocus
TrendsDirection over time
ComparisonsPeriod-over-period
SmoothingReduce noise
Annual Analysis
Use CaseFocus
GrowthLong-term trajectory
MilestonesMajor achievements
CAGRCompound growth

Volatility Assessment

Measuring Volatility
MetricCalculation
RangeHigh - Low
Range %(High - Low) / Average
Daily MovesAverage daily change
Standard DeviationPrice dispersion
Volatility Interpretation
Range %Volatility
<20%Low
20-40%Moderate
40-60%High
>60%Very High
Example

From AAPL data:

  • High: $3.70T
  • Low: $2.57T
  • Range: $1.13T
  • Range %: ~35%
  • Interpretation: Moderate-high volatility

Peak and Trough Analysis

Identifying Peaks
SignalDescription
All-time HighHighest ever
Period HighHighest in range
Local PeakTemporary high
Identifying Troughs
SignalDescription
All-time LowLowest ever
Period LowLowest in range
Local TroughTemporary low
Peak-to-Trough Metrics
MetricPurpose
Drawdown %Decline from peak
Recovery TimeDays to recover
Drawdown DurationPeak to trough time

Size Classification Over Time

Tracking Category Changes
If Market Cap...Classification
>$200BMega-cap
$10B-$200BLarge-cap
$2B-$10BMid-cap
$300M-$2BSmall-cap
Milestone Analysis
MilestoneSignificance
First $1THistoric achievement
Crossed $2TElite status
Crossed $3TWorld's most valuable

Comparative Analysis

Same Company Over Time
ComparisonPurpose
YoYYear-over-year growth
QoQQuarterly momentum
MoMMonthly trends
Multiple Companies
ComparisonPurpose
Relative SizeMarket position
Relative GrowthPerformance comparison
CorrelationMovement similarity

Common Use Cases

Trend Analysis
How has AAPL's market cap changed over the past year?
Peak Finding
When did TSLA reach its highest market cap?
Drawdown Analysis
What was NVDA's biggest decline from peak in 2024?
Milestone Tracking
When did MSFT first cross $3 trillion market cap?
Comparison
Compare the market cap growth of AAPL and MSFT over 5 years.

Analysis Tips

  1. Use appropriate timeframes: Match analysis to investment horizon.

  2. Identify catalysts: Major moves often have drivers.

  3. Consider splits: Ensure data is split-adjusted.

  4. Watch for milestones: Round numbers are psychologically important.

  5. Calculate drawdowns: Understand downside risk.

  6. Compare to benchmarks: Market cap vs. index performance.

Integration with Other Skills

SkillCombined Use
company-market-capCurrent vs. historical
stock-performancePrice driving cap changes
income-statementEarnings supporting cap
financial-metrics-analysisValuation evolution

Comments

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