Each lens is an AI simulation distilled from public books, letters, speeches and interviews. This page lists, for every lens, what it was built from, what it actually checks, and where it stops.
What a lens is — and is not
A lens is a fixed scoring rule plus a short AI-written explanation. The rule was distilled from what the named investor has published; the explanation is generated by a language model from the numbers the rule produced. Nobody named on this page has reviewed, approved or contributed to any lens. A lens has no access to the investor's positions, research or current views, and its read is never that person's opinion.
Reads are worded as Favorable, Neutral or Unfavorable. The site never issues a buy, sell or hold instruction, and no read is attributed to the person a lens is named after.
The lenses
Dalio-style lens (simulated)
Modelled on the published principles of Ray Dalio · Macro & Cycles · up to 15 points
Public sources used:
- Principles: Life and Work (2017)
- Principles for Dealing with the Changing World Order (2021)
- Bridgewater Associates public research notes and Dalio's published essays and on-record interviews
What it checks: Yield Curve · 10Y Treasury Rate · Fed Funds Rate · Inflation Rate
The rule: Reads where the economy sits in the debt and rate cycle and asks how exposed the company is to that regime. Steeper curves, easing rates and contained inflation score higher; inversions and rate shocks score lower.
Known limitations:
- The four inputs are economy-wide, so on any given day every company is read against the same macro backdrop — only the company's sector sensitivity varies.
- It does not reproduce Bridgewater's models, positions or any current view of Mr. Dalio.
Griffin-style lens (simulated)
Modelled on the published principles of Ken Griffin · Market Flow · up to 15 points
Public sources used:
- On-record interviews and public talks by Ken Griffin
- Citadel's public statements and widely reported descriptions of its market-making and multi-strategy model
What it checks: Put/Call Ratio · Insider Activity · Implied Volatility · Analyst Consensus
The rule: Asks who is in control of the tape: options positioning, insider buying or selling, the volatility the market is pricing, and where sell-side consensus sits.
Known limitations:
- Uses delayed, public options and insider-filing data — nothing resembling Citadel's proprietary order flow.
- It is not Mr. Griffin's opinion of any stock and has no connection to Citadel.
Simons-style lens (simulated)
Modelled on the published principles of Jim Simons · Quantitative · up to 15 points
Public sources used:
- The Man Who Solved the Market by Gregory Zuckerman (2019) — a biography, not a text by Mr. Simons
- Public lectures and interviews given by Jim Simons on statistical investing
What it checks: Momentum · Patterns · Volatility · Quality Score
The rule: Ignores the narrative and scores what the price series itself shows: momentum, recurring patterns, volatility clustering, and a quality overlay.
Known limitations:
- Single-stock daily statistics on public price data; Renaissance's models, data and holding periods are not public and are not approximated here.
- Mr. Simons died in 2024; the lens is a heuristic built from public descriptions of an approach, not a view he held.
Englander-style lens (simulated)
Modelled on the published principles of Izzy Englander · Risk-Reward · up to 15 points
Public sources used:
- On-record interviews with Israel Englander
- Publicly described features of Millennium Management's multi-strategy, risk-budgeted model
What it checks: Catalysts · Balance Sheet · Bankruptcy Risk · Sector Compare
The rule: Weighs what could go right against what could go wrong: upcoming catalysts, balance-sheet strength, a bankruptcy-risk score, and how the company compares with its sector.
Known limitations:
- Catalysts are derived from data feeds (earnings dates, filings), not from analyst judgment.
- It does not reflect Millennium's positions or Mr. Englander's opinion.
Klarman-style lens (simulated)
Modelled on the published principles of Seth Klarman · Value · up to 15 points
Public sources used:
- Margin of Safety (1991)
- Baupost Group investor letters that have circulated publicly, and Mr. Klarman's on-record interviews
What it checks: FCF Yield · DCF Value · Value Score · Debt Level
The rule: Measures the gap between what the business appears to be worth and what the market charges: free-cash-flow yield, a discounted-cash-flow value against price, a composite value score, and leverage.
Known limitations:
- The DCF depends on provider inputs and fixed assumptions; it is a rough estimate, not a valuation opinion.
- It is not Baupost's view and has no connection to Mr. Klarman.
Moon AI lens (model)
Modelled on the published principles of Moon AI · Academic KPIs · up to 25 points
Public sources used:
- Stock Expert AI's own metric set, drawn from widely used valuation, profitability, efficiency, growth, leverage and risk measures in the finance literature
What it checks: Price/Sales · Forward P/E · Price/Book · EV/EBITDA · Gross Margin · Profit Margin · Operating Margin · ROE · ROA · FCF Yield · Revenue Growth · Earnings Growth · Debt/Equity · Current Ratio · Beta
The rule: Scores a fixed set of fundamental ratios against absolute and sector-relative thresholds and combines them into one health read.
Known limitations:
- A ratio screen, not a forecast: it cannot see management quality, product cycles or anything outside the financial statements.
- Thresholds are fixed values chosen when the model was built; they are not tuned on a backtest and no predictive claim is made.
Munger-style lens (simulated)
Modelled on the published principles of Charlie Munger · Mental Models (Munger's Mindset)
Public sources used:
- Poor Charlie's Almanack (2005)
- Published speeches, including "The Psychology of Human Misjudgment", and Mr. Munger's on-record remarks at Berkshire Hathaway and Daily Journal meetings
What it checks: Financial Health Score · DCF Value vs Price (margin of safety) · Sector-average comparison · Mental-model checklist
The rule: Applies a checklist of published mental models to the numbers: is the business understandable and durable, is there a margin of safety, and what could invert the thesis.
Known limitations:
- Mr. Munger died in 2023. The lens cannot reflect any current view; it is a checklist distilled from public writing and speeches.
- A tone of "bullish / neutral / bearish" describes which way the checklist leans, never an instruction.
How the reads are computed
- Five investor-style lenses score 0-15 each (75 points); the Moon AI lens scores 0-25. The master score is the sum, normalised over the lenses that actually had data.
- The Council read is Favorable when the normalised score is 70 or above, Neutral from 50 to 69, and Unfavorable below 50. It is only published when at least two lenses had data; confidence is capped by how many of the six contributed.
- A lens is listed as leaning favorable when it scores at least 70% of its maximum and leaning unfavorable below 45%. A lens with no data is listed as "no data", never as a view.
- Inputs come from Financial Modeling Prep, Finnhub and Alpha Vantage as of the page view, with Yahoo Finance and Alpaca as fallbacks. Every figure shown on a lens card comes from a provider; the AI writes only the qualitative reasoning.
Review and corrections
This page is reviewed whenever a scorer changes and at least quarterly. Corrections are logged publicly. Report a problem with any lens to sedat@stockexpertai.com; confirmed errors appear in the corrections log. Governing policy: Editorial Policy · Disclaimer.
Try the lenses: Legends Council · Munger's Mindset.