Reference

Changelog

Release history and changes

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Unreleased

Added

  • install.sh — one-command install for any AI agent. curl -fsSL https://raw.githubusercontent.com/yennanliu/InvestSkill/main/install.sh | bash -s -- -a <agent> copies every framework into .investskill/prompts/ and wires up that agent’s own entry point: claude.claude/skills/<skill>/SKILL.md (slash commands), cursor.cursor/rules/investskill.mdc, copilot.github/copilot-instructions.md, geminiGEMINI.md, codex / opencodeAGENTS.md, and any → the prompts alone for ChatGPT, Claude.ai, or a local model. Existing instruction files are appended to inside a marked block, never overwritten, and a second run is a no-op. Flags: -a agent, -d DIR target directory, -g user-level install ($HOME), -r REF branch/tag, -l list targets, -h help. No runtime and no dependencies beyond curl and tar.

  • Site — install picker on both landing pages (#install, English + 繁體中文): agent tabs (Claude Code · Cursor · GitHub Copilot · Gemini CLI · Codex · OpenCode · Any LLM), the matching curl command with a copy button, the file each target writes, and the first command to run afterwards. The visitor’s chosen agent is remembered between visits, and the landing “Get Started” CTA now scrolls here. Built by buildInstaller() in site/build/build-site.js — keep its INSTALL_TARGETS list in sync with the AGENTS list in install.sh.

  • Install instructions for the curl path added to README.md, README-zh-TW.md, the per-platform guides (README-claude-code.md, README-cursor.md, README-gemini.md, README-ollama.md), and both Cookbooks (site/content/COOKBOOK.md, COOKBOOK-zh-TW.md).

  • Site demo — META 10-K Deep Dive (site/content/FULL-DEMO-META.mdfull-demo-meta.html), the reference example for “analyze a financial report with the skills in this plugin.” Unlike the NVDA/AMD demos (one skill run end-to-end), this one chains nine skills over a single 138-page PDF — Meta Platforms’ FY2025 Form 10-K, filed 2026-01-28 — in the order 10k-digestfinancial-report-analystfundamental-analysischart-masterbear-casestock-valuation/dcf-valuationcatalyst-calendarposition-ladderresult-validator. Every figure is quoted verbatim and cited to an Item/Note and printed page. Demonstrated techniques include: diffing two consecutive filings to surface strategy shifts in management’s own language (“superintelligence” 0 → 9 mentions, “metaverse” 18 → 9); a prior-year promise tracker scoring FY2024’s guidance against FY2025 actuals (capex guided $60–65B, delivered $72.2B); normalizing a one-off tax charge (the $15.93B OBBBA valuation allowance turns a −3% net income year into +24% adjusted EPS growth); off-balance-sheet forensics on the unconsolidated Louisiana data-centre VIE (Note 5 — $45.95B maximum exposure to loss, $28B residual value guarantee, a new critical audit matter) plus $103.8B of not-yet-commenced leases and $131.0B of contractual commitments against $148.8B of recognized liabilities; a three-scenario DCF whose base case reproduces the filing’s own year-end close of $660.09 to within 0.3%; and an honest data-gap disclosure for the five chart exhibits that do not render in the source PDF, reconstructed from text and reconciled. Ends with a result-validator confidence audit (82/100) that names where the analysis is most likely to be wrong. Wired into both language navs and the Demo Overview page. No new skill — framework count unchanged at 26.

  • Cookbook — seven live workflow runs (§3.12–3.18) added to the demo section of COOKBOOK.md and COOKBOOK-zh-TW.md. Each of Workflows A–G from §4 is executed end-to-end against a real US-listed stock using live market data (run date 2026-07-27, prices as of the 2026-07-24 close), with per-step output, the arithmetic behind each conclusion, a signal block, and cited sources: A pre-earnings deep dive on AAPL (into the 30 Jul print — implied move ±5.38%, price 0.6% off the 52-week high → trim); B value screen on PFE (7.01% yield costs 103.4% of free cash flow against $17–18B of contractual LOE → value trap); C dividend sleeve JNJ/ABBV/PG (ABBV’s 336% accounting payout is 61.2% on cash — plus a 2.52% blended yield and 67% healthcare concentration); D swing setup on UPST (31.44% of float short, but 0 of 3 technical confirmations and 1.17:1 reward/risk → no trade); E full memo on NVDA (reverse DCF: today’s $4.97T EV requires ~35% year-1 FCF growth at a 12% WACC); F sector rotation in the July 2026 regime (Fed on hold at 3.50–3.75%, core CPI 2.6%, curve +78 bp — XOM’s macro call is already in estimates at 12.58× forward, JPM’s is not); G position ladder on AVGO (5 rungs anchored on the 200-day MA and 1-ATR spacing, wash-sale window flagged, and the trim leg shown to cost $1,300 in a rally).

  • Site — explicit “no API keys, completely free” messaging: a new No API Keys, No Cost section on both homepages (English + 繁體中文) covering API keys, subscriptions, market-data fees, runtime, and license; a $0 · no API keys cost badge; a $0 / No API keys · no fees hero stat on the landing pages; and a matching note on the Data & Accuracy pages explaining why no key is needed.

Changed

  • Cookbook §4 — recipe tickers refreshed so the worked examples stay accurate: Workflow B now uses PFE (Intel no longer screens as a value candidate), Workflow D uses UPST, and Workflow A cites Q2-2026. Each workflow now links to its live run in §3.
  • scripts/site-review.js — daily QA reports in qa/ are now capped at a 5-day retention window (RETENTION_DAYS); older site_review_YYYYMMDD.md files are pruned on each run. PROJECT-REVIEW.md is untouched.
  • .github/workflows/site-review.yml — stages qa/ with git add -A so pruned reports are committed as deletions alongside the new report. Pruned the existing 19-report backlog down to the last 5 days.

[1.11.0] - 2026-07-27

Added

  • position-ladder — new skill: plan and manage a single position across its life, the execution layer the catalog was missing. Sets a share-count band (floor / ceiling) from the most restrictive of the concentration, capital, and loss-tolerance caps; builds a staged entry ladder (volatility-scaled / fixed-% / support-based / fixed-$ spacing, with equal-share, equal-dollar, or pyramid sizing) and computes capital at full fill, blended average cost, and the drawdown the plan expects to sit through; models the trim / re-add cycle that sells the highest-cost lots above blended average cost and buys them back below it, oscillating inside the band. Includes the parts retail versions of this strategy omit: lot-accounting (specific-ID vs. broker-default FIFO), wash-sale flagging with the 30-day window and the IRA-repurchase trap, holding-period effects, a mandatory total-return-vs-buy-and-hold reality check across three price paths (so a lower average cost is never mistaken for a profit), an underfill mitigation for names that never pull back, a thesis-break gate with a do-not-ladder list (leveraged ETFs, binary-event names, solvency cases), and a 0–10 Ladder Suitability Score. Complements portfolio-review (which works across holdings) by working inside one. Brings the advertised framework count to 26.

[1.10.1] - 2026-07-22

Enhanced

  • 10k-digest — added four interpretation sections to the digest output: Highlights & Concerns (dedicated positives/negatives lists), Management Outlook & Forward Guidance (forward-looking commitments table), Prior-Year Promise Tracker (accountability audit scoring last year’s 10-K guidance against this year’s actuals, with a management-credibility read), and Bull vs. Bear Synthesis (lightweight filing-sourced face-off). Added suggested Traditional Chinese headings for the new sections. No new skill — framework count unchanged at 25.

[1.10.0] - 2026-07-12

Added

  • industry-map — new skill: map an industry’s supply / value chain as a directed graph, from raw inputs upstream down to the end user. Provides a bird’s-eye view of a business: builds the chain as a Mermaid flowchart (with ASCII fallback) plus a chain-map table, locates a given ticker’s position (upstream / midstream / downstream) and its up/downstream dependencies, scores each layer for bottleneck/chokepoint power (the durable “toll collectors”), maps where the profit pool sits today and where it is likely to migrate next, flags concentration & supply-chain risk, and generates second-order investment ideas per layer (core / picks-and-shovels / avoid). Complements competitor-analysis (one company’s moat, horizontal) and sector-analysis (GICS rotation) by mapping a theme vertically, across sectors. Brings the advertised framework count to 25.

[1.9.0] - 2026-07-05

Added

  • bear-case — new skill: a deliberate short-seller red-team that constructs the strongest possible bear thesis for a stock (why NOT to hold). Covers valuation stretch, deteriorating fundamentals, accounting/earnings-quality red flags, competitive & secular threats, management & capital allocation, downside catalysts with timelines, a quantified bear price target, and a mandatory “Thesis-Killers” section listing what would prove the bear wrong. Produces a 0–10 Bear Case Strength Score and is intended to surface counterevidence for any bullish thesis (pair with stock-eval for a balanced view). Brings the advertised framework count to 24.

[1.8.1] - 2026-06-23

Added

  • 10k-digest — new skill: deep-read a 10-K annual report and output a structured markdown digest document. Includes abstract, section-by-section summaries (Items 1–13), key metrics table, notable disclosures, and full source references. Supports --lang zh-TW for Traditional Chinese output and --output <file>.md to save the digest as a markdown file.

[1.8.0] - 2026-06-19

Merged (reduced redundancy)

  • dcf-valuation merged into stock-valuation — stock-valuation is now the superset with deep DCF + multi-method valuation; dcf-valuation becomes a thin redirect
  • fundamental-analysis merged into stock-eval — stock-eval absorbs deep financial statement analysis; fundamental-analysis becomes a thin redirect
  • research-bundle unified into full-report — full-report now supports --depth quick/standard/comprehensive flags; research-bundle becomes a thin redirect

Enhanced

  • sector-analysis — expanded from 121 to 300+ lines: sector valuation tables, seasonality calendar, correlation matrix, momentum scoring, peer benchmarking, sector-specific risks
  • portfolio-review — expanded: concentration risk scoring, correlation/diversification analysis, tax-loss harvesting framework, factor exposure, rebalancing decision framework, drawdown/risk budget
  • dividend-analysis — expanded to Capital Allocation Analysis: buyback analysis, M&A capital allocation, debt management, FCF deployment scorecard, capital allocation quality score

New Skills

  • stock-screener — ranks/screens multiple tickers across valuation, quality, momentum, sentiment, and growth dimensions; outputs ranked leaderboard + top picks + avoid list
  • catalyst-calendar — forward-looking 90-day event calendar: earnings, macro events, company-specific catalysts, impact scoring, event-driven strategy suggestions

Added

  • Thesis Invalidation section added to all 16 single-ticker skills — specifies price levels and events that would reverse the signal, plus a re-analysis monitoring checklist

[1.7.0] - 2026-06-19

Enhanced

  • technical-analysis skill — added MA Chart Analysis section: mandatory 30/60/90/200/365-day SMA position table with ASCII trend chart, MA stack signal (BULLISH/BEARISH/MIXED), crossover event detection, and a structured MA-Based Trade Recommendation block (entry price / target / stop-loss / R:R ratio / horizon)

Added

  • Data verification gate added to all 16 single-ticker skills — every skill now opens with a mandatory ⚠️ Data Verification section requiring live price lookup, explicit stale-data warning, and data-source citation before any analysis proceeds
  • FULL-DEMO-PLTR.md — complete all-15-skills demo for Palantir Technologies in English (275K chars), covering technical, fundamental, stock-eval, economics, sector, insider-trading, institutional-ownership, short-interest, earnings-call, chart-master, DCF, stock-valuation, options, dividend, competitor analysis + master synthesis
  • FULL-DEMO-RKLB.md — complete all-15-skills demo for Rocket Lab USA in Traditional Chinese (106K chars), fully verified against live market data ($107.24, 52-wk $27.84–$151, Q1 2026 EPS Beat +58%)
  • Project site: new Demo nav section with three pages — Demo Overview, PLTR Full Demo (English), RKLB 完整示範 (繁體中文)

[1.6.0] - 2026-04-29

Added

  • full-report skill — orchestrates all 15 analysis modules on a ticker and saves a single professional HTML report to output/
  • Enhanced chart-master skill with MA overlay, Price+Volume dual-panel, Return Histogram, RSI, MACD, and Support/Resistance charts
  • Consistent Chart.js color palette and style guidelines in chart-master

[1.5.0] - 2026-04-28

Added

  • New /result-validator skill: meta-analysis agent that audits any InvestSkill output across five dimensions (data quality, methodology soundness, signal consistency, risk coverage, reasoning transparency) and produces a 0–100 confidence score with tier rating (Very High / High / Medium / Low / Very Low) plus adjusted signal block
  • New /chart-master skill: visualization agent that generates financial charts in Mermaid (primary), ASCII (fallback), and HTML/Chart.js (rich/interactive); supports bar, line, pie, horizontal comparison, fair-value range, and multi-factor signal dashboard chart types; works across Claude Code, Gemini, Cursor, and GitHub Copilot
  • Both skills available as universal prompts/result-validator.md and prompts/chart-master.md for AI-agnostic platforms

[1.4.0] - 2026-02-27

Added

  • Auto-deploy workflow (auto-deploy.yml): triggers after Test Suite passes on main, detects version bumps via git tag check, runs pre-deploy validation, publishes GitHub Release with .tar.gz artifacts and checksums, records result in DEPLOYMENTS.md
  • scripts/record-deploy.js: appends structured deployment entry to DEPLOYMENTS.md with version, commit SHA, timestamp, release URL, and marketplace targets table
  • DEPLOYMENTS.md: auto-maintained deployment history file seeded with v1.1.0–v1.3.0

Improved

  • pr-check.yml: added version consistency check, INVESTMENT SIGNAL block validation, skills registry integrity check, and full unit test run
  • validate.yml: expanded required files list, stricter version mismatch handling, Node.js unit test step
  • .gitignore: added !scripts/*.js exception so test scripts are tracked by git

[1.3.0] - 2026-02-27

Added

  • New /financial-report-analyst skill for analyzing 10-K, 10-Q, annual reports, and earnings press releases

    • 8-phase analysis framework: document orientation, MD&A deep read, financial statements, risk factors, footnotes, management tone, YoY comparison, insider activity
    • Accounting quality score (0-21) with criterion breakdown
    • Red flag detection: risk factor changes, footnote anomalies, segment reporting changes
    • Management tone scoring and credibility tracking (guidance accuracy scorecard)
    • DSO/DIO/AP working capital analysis, FCF conversion rate, SBC dilution assessment
    • Supports: 10-K, 10-Q, 8-K, DEF 14A (proxy), S-1, earnings press releases
  • New /stock-valuation skill for multi-method stock valuation with football field summary

    • Method 1: DCF with 3 scenarios (Bull 20% / Base 60% / Bear 20%), 10-year projection, sensitivity table
    • Method 2: Comparable Company Analysis (CCA) — 5-8 peers, EV/Revenue, EV/EBITDA, P/E, EV/FCF
    • Method 3: EV/EBITDA multiple valuation (conservative / base / premium)
    • Method 4: P/E multiple with PEG ratio
    • Method 5: Residual Income / Economic Value Added (for financial companies)
    • Football field chart consolidating all methods
    • Probability-weighted composite intrinsic value
    • Risk-adjusted expected return with risk/reward ratio (target: 3:1+)
    • Analyst consensus comparison
  • Cross-AI compatibility (v1.3.0)

    • GEMINI.md — Project instructions for Gemini CLI with prompt file references
    • .github/copilot-instructions.md — GitHub Copilot workspace configuration
    • .cursor/rules/invest-skill.mdc — Cursor AI rules with skill discovery
    • prompts/ directory with 17 universal prompt files (AI-agnostic, work with any LLM)
    • All 18 skills now available as standalone prompts for ChatGPT, Claude.ai, Gemini, and more

Changed

  • Plugin version bumped from 1.2.0 to 1.3.0
  • README updated with cross-AI compatibility guide and new skills documentation
  • Total skills: 16 → 18

1.2.0 - 2026-02-24

Added

  • New /dividend-analysis skill for income investing and dividend safety analysis

    • Dividend Safety Score (0-100) with letter grade and sector-specific thresholds
    • Payout ratio analysis (EPS-based and FCF-based) with stress testing
    • Dividend growth metrics: 1/3/5/10yr CAGR, Chowder Rule, Dividend Aristocrats/Kings
    • Yield trap detection with red flag checklist
    • Recession durability analysis (2000-2002, 2008-2009, 2020)
    • DRIP compound growth projections and income portfolio modeling
  • New /short-interest skill for short squeeze and bearish positioning analysis

    • Short Interest Squeeze Score (0-10 composite) with probability tiers
    • Short float %, Days-to-Cover, and borrow rate tier classification tables
    • Short seller thesis evaluation and counter-thesis analysis
    • FINRA reporting schedule with data lag caveats
    • Options market signal integration (put/call ratio, IV skew, unusual activity)
  • New /options-analysis skill for options Greeks, IV analysis, and strategy selection

    • Full Greeks analysis: Delta, Gamma, Theta, Vega, Rho with practical usage guidance
    • IV Rank (IVR) and IV Percentile (IVP) interpretation
    • IV term structure and volatility skew analysis
    • Strategy Selector with 6×2 selection matrix (bullish/bearish/neutral × high/low IV)
    • Earnings play analysis: expected move formula, straddle setup, volatility crush dynamics
    • Risk management: position sizing, delta hedging, rolling positions
  • New /research-bundle meta-skill for comprehensive multi-skill investment research

    • 5-phase research process: Business Foundation → Valuation → Market Signals → Technical → Risk
    • Composite scoring framework with weighted components (Business 25%, Valuation 25%, Signals 20%, Technical 15%, Risk 15%)
    • Conflict resolution rules and consensus override logic
    • Unified investment thesis with bull/bear cases and probability-weighted scenarios
    • Entry/exit strategy and quarterly monitoring plan
  • New /dcf-valuation skill for intrinsic value modeling

    • 8-step DCF methodology (base metrics → revenue projection → FCF margins → terminal value → WACC → discount → sensitivity → margin of safety)
    • Full WACC calculation (CAPM cost of equity, after-tax cost of debt, capital structure)
    • 5×5 sensitivity table (WACC rows vs. terminal growth rate columns)
    • Three-scenario framework: Bull (20%) / Base (60%) / Bear (20%) with probability-weighted IV
    • Common DCF pitfalls guide (SBC adjustment, TV dominance, cyclicality normalization)
  • New /competitor-analysis skill for economic moat and competitive positioning

    • Five Sources of Economic Moat (Morningstar framework): network effects, cost advantages, intangibles, switching costs, efficient scale
    • Moat width assessment (Wide/Narrow/None/At Risk) with ROIC signal interpretation
    • Porter’s Five Forces deep analysis with individual scores and industry attractiveness composite
    • Competitive benchmarking table (8+ metrics vs. top 3-5 peers)
    • Innovation and disruption positioning (disruptor vs. disrupted)
    • Composite Moat Scorecard (6 weighted components, 0-10 scale)

Enhanced

  • Enhanced /stock-eval skill with investment-grade depth (50 → 421 lines)

    • Piotroski F-Score (9-criterion quality scoring system)
    • Earnings Quality Score (accruals ratio, cash conversion, non-recurring items)
    • ROIC / WACC analysis with Economic Value Added (EVA) framework
    • DCF framework with 3-scenario sensitivity table
    • Management quality assessment (guidance accuracy, capital allocation track record)
    • Analyst consensus tracking with estimate revision momentum (ERM)
    • Risk Assessment Matrix (business, financial, valuation, macro)
  • Enhanced /economics-analysis skill with macro depth (55 → 295 lines)

    • Yield Curve Analysis: 2s10s, 3M10Y, 5s30s spreads; curve shapes and recession lead times
    • Credit Market Indicators: IG/HY OAS spreads, TED Spread, MOVE Index thresholds
    • Global Macro Comparison: US/EU/China/Japan cycle positioning, PMI comparison, central bank divergence
    • Recession Probability Scoring: NY Fed model, Conference Board LEI, Sahm Rule composite
  • Enhanced /technical-analysis skill with advanced techniques (267 → 493 lines)

    • Multi-Timeframe Analysis (MTF): 3-TF framework, alignment scoring, confluence table
    • Volume Profile Analysis: POC, Value Area (VAH/VAL), LVN/HVN trading rules, profile shapes
    • Ichimoku Cloud: all 5 components, bullish/bearish signal matrix, Kumo twist signals
    • Options Flow Integration: put/call ratio, unusual activity, IV vs. HV, GEX mechanics

Standardized

  • Added unified Investment Signal block to all 16 skills:
    ╔══════════════════════════════════════════════╗
    ║              INVESTMENT SIGNAL               ║
    ╠══════════════════════════════════════════════╣
    ║ Signal:      BULLISH / NEUTRAL / BEARISH     ║
    ║ Confidence:  HIGH / MEDIUM / LOW             ║
    ║ Horizon:     SHORT / MEDIUM / LONG-TERM      ║
    ║ Score:       X.X / 10                        ║
    ╠══════════════════════════════════════════════╣
    ║ Action:      BUY / HOLD / SELL               ║
    ║ Conviction:  STRONG / MODERATE / WEAK        ║
    ╚══════════════════════════════════════════════╝
    
  • Consistent scoring guide (0-10), confidence levels (HIGH/MEDIUM/LOW), and time horizons
  • /report-generator updated to render signal blocks as styled HTML components

Changed

  • Updated plugin version from 1.1.0 to 1.2.0
  • Added 6 new skill directories under plugins/us-stock-analysis/skills/
  • Updated keywords to include: dcf, options, dividends, short-interest, competitive-analysis, moat, research

1.1.0 - 2026-02-17

Added

  • New /report-generator skill for HTML/PDF report generation with interactive visualizations

    • Standalone HTML reports with embedded Chart.js
    • Professional financial report styling and layout
    • Support for multiple report templates (executive summary, comprehensive, portfolio)
    • PDF export via browser print-to-PDF or command-line tools
    • Interactive charts: line, bar, candlestick, waterfall, and more
  • New /earnings-call-analysis skill for earnings call transcript analysis

    • Sentiment analysis (bullish/neutral/bearish)
    • Management tone assessment (confidence, transparency, red flags)
    • Key themes extraction and ranking
    • Q&A session insights and analyst concerns
    • Quarter-over-quarter comparison
    • Investment implications and recommendations
  • New /insider-trading skill for insider transaction tracking

    • SEC Form 4 filing analysis
    • Net insider sentiment calculation
    • Significant transaction identification (>$1M, >10% position change)
    • Ownership trend analysis
    • Timing and pattern recognition
    • Red flag detection for concerning patterns
  • New /institutional-ownership skill for 13F filings analysis

    • Top institutional holders tracking
    • Quarter-over-quarter position changes (new, increased, decreased, eliminated)
    • Smart money tracking (notable investors like Buffett, Ackman, etc.)
    • Ownership concentration analysis
    • Activist investor monitoring
    • Portfolio weight analysis for high-conviction positions

Enhanced

  • Enhanced /fundamental-analysis skill with visualization support

    • Optional --visual flag for chart generation
    • Revenue/earnings growth trend charts
    • Profit margin comparison visualizations
    • Balance sheet composition charts
    • Cash flow waterfall diagrams
    • Valuation multiples comparison
    • ASCII charts for terminal display
    • Data tables formatted for report generator integration
  • Enhanced /technical-analysis skill with chart generation

    • Optional --chart flag for visual analysis
    • Candlestick charts with moving averages overlay
    • Volume bar charts with average volume indicator
    • RSI, MACD, and Bollinger Bands indicator panels
    • Support/resistance level annotations
    • Pattern recognition overlays
    • ASCII charts for terminal display
    • Chart specifications for HTML report generation

Changed

  • Updated plugin version from 1.0.0 to 1.1.0
  • Enhanced marketplace description to highlight new visualization and data analysis features
  • Added new keywords: visualization, reports, insider-trading, institutional-ownership, earnings-calls
  • Expanded documentation with report generation workflow and examples
  • Updated project structure to include 4 new skill directories

Documentation

  • Added “Report Generation” section to README with workflow examples
  • Updated “Available Skills” section with new skills (categorized as core vs. enhanced)
  • Added usage examples for all new skills
  • Updated Traditional Chinese README (README-zh-TW.md) with all new features
  • Marked completed tasks in TODO.md (visualization, reports, fundamental data)
  • Updated CHANGELOG.md with comprehensive v1.1.0 release notes

1.0.0 - 2026-02-16

Added

  • Initial release of InvestSkill marketplace
  • US Stock Analysis plugin with 6 comprehensive skills:
    • Stock Evaluation (/stock-eval)
    • Economics Analysis (/economics-analysis)
    • Fundamental Analysis (/fundamental-analysis)
    • Technical Analysis (/technical-analysis)
    • Portfolio Review (/portfolio-review)
    • Sector Analysis (/sector-analysis)
  • MIT License
  • Comprehensive documentation

Plugin Details

  • us-stock-analysis v1.0.0
    • Professional-grade US stock market analysis
    • Integration with financial data sources
    • Actionable investment insights