TROWT. Rowe Price

Fact → Principle → Simulation

• 🟢RSI(14): 27 — Nelson read cyclical exhaustion and renewal in price oscillation, not just trend direction.
• 🟢Stochastic %K: 12 — A cycle nearing its low end offers more room to move than one already stretched to its high end.
• 🟢Williams %R: -88 — A second, independent read on the same overbought/oversold question.
• 🟢CCI(20): -160 — An extreme reading here is exactly the kind of cyclical extension Nelson's method watched for.
• 🟢Bollinger %B: 0.01 — Position within the recent trading range, a purely statistical cycle marker.

Fact → Principle → Simulation

• 🟢Distance above 200-day average: -1.0% — Mackay's delusions always shared one trait: prices detached from any reasonable anchor.
• 🟢RSI(14): 27 — An extreme, sustained RSI is one signature of a crowd already 'all in.'
• 🟡News sentiment score: 80/100 — Near-universal enthusiasm in the coverage is exactly the pattern that preceded every mania Mackay documented.
• 🟢12-period rate of change: -7.6% — A sudden, sharp acceleration is more consistent with mania than with steady, sustainable demand.
• 🟢Price vs. estimated fair value: -6% — A large premium to any reasonable estimate of value is the hallmark of a delusion in progress.

Fact → Principle → Simulation

• 🟡Daily volatility (ATR): 2.2% of price — Housel's core point: the boring, low-volatility holding is the one you can actually stay invested in long enough to compound.
• 🟢Free cash flow growth: 17.2% — Steady, real cash generation is quiet compounding in action — no story required.

Fact → Principle → Simulation

• 🟢ADX(14): 33 — Schwager's wizards consistently avoided directionless chop — a real, tradeable trend is the precondition.
• 🟢Reward/risk to resistance vs. support: 13.78 — Schwager's central lesson: trade setups with real, favorable reward-to-risk, not just a hunch about direction.
• 🟢Volume vs. 20-day average: 1.30x — Real conviction shows up in volume — a setup without it is a much weaker bet.
• 🔴Market structure: range — A defined trend gives a real setup to trade; a range is exactly what disciplined traders wait out.

Fact → Principle → Simulation

• 🟡Composite risk score: 42/100 — Marks' central argument is that risk-awareness matters more than raw return-seeking.
• 🟢Price vs. estimated fair value: -6% — Second-level thinking asks whether optimism is already priced in, not just whether the story is good.
• 🟢Distance above 200-day average: -1.0% — A stock far above its long-term average is one where the crowd has likely already gotten excited — worth extra caution, not extra conviction.
• 🟡News sentiment score: 80/100 — Marks is explicitly wary when sentiment is near-universally positive — that's exactly when expectations get hardest to beat.

Fact → Principle → Simulation

• 🟢P/E ratio: 11.1 — Graham's defensive investor favored a moderate P/E, historically around 15x or less.
• 🟡Price/Book: 2.09 — Graham's classic screen preferred price no more than ~1.5x book value.
• 🟡Margin of safety vs. estimated fair value: +6% (relative to fair value, not price — a different basis than the "Gap" % shown in Fair Value) — The margin of safety — buying meaningfully below estimated intrinsic value — is Graham's central idea.

Fact → Principle → Simulation

• 🟢Distance from 200-day average: -1.0% — Marks' cycle framework treats distance from a long-term anchor as the clearest single cycle-position signal.
• 🟢RSI(14): 27 — An extended oscillator reading is one more sign of a late-cycle position, not early.
• 🟢3-month relative strength vs. S&P 500: -7.8pp — Wild outperformance or underperformance vs. the broad market often marks a crowded, late-cycle trade.
• 🟡News sentiment score: 80/100 — Marks: risk is highest exactly when everyone agrees things look great.

Fact → Principle → Simulation

• 🟡Composite risk score: 42/100 — Loeb's rule was capital preservation first — missing a gain is far better than absorbing a large loss.
• 🟡Daily volatility (ATR): 2.2% of price — Loeb watched volatility closely — a wild swinger is a much harder position to cut losses on cleanly.

Fact → Principle → Simulation

• 🟢Dividend payments on record: 38 — Smith's central finding was that stocks with reinvested dividends beat bonds over time — a real dividend record is the evidence.
• 🟡Revenue growth: 3.1% — Sustained, real growth is what compounds a long-term holding's value over a decade.
• 🔴Operating margin is stable or improving — A stable, patient holding shouldn't need its margins to be rescued year after year.

Fact → Principle → Simulation

• 🟡Net income growth (-0.6%) vs. revenue growth (3.1%) — Veblen distinguished real industrial value creation from growth pursued for its own sake — profit should keep pace with revenue, not lag it.
• 🔴Recent insider transactions: 0 buys, 2 sells — Whether management is putting its own money behind the growth story is a real, hard-to-fake signal.
• 🔴Operating margin is stable or improving — Real efficiency gains, not just top-line expansion, is what separates production from mere 'business.'
• 🟢Return on equity: 19.2% — Real, moderate-to-strong returns on capital — not so extreme as to suggest it's leverage-driven rather than operational.

Fact → Principle → Simulation

• 🔴Operating margin: 44.2% -> 29.9% — A stable or widening margin over time is a real (if partial) proxy for the durable competitive advantage Fisher's qualitative research aimed to find.
• 🔴Revenue growth: 3.1% — Fisher sought companies with above-average, sustainable sales growth.
• 🟢Free cash flow growth: 17.2% — Growth funded by real, growing cash generation (not just accounting earnings) is a stronger Fisher-style signal.
• 🟢Net margin: 28.5% — High absolute profitability is a rough proxy for pricing power, one of the qualities Fisher's interviews aimed to uncover.

Fact → Principle → Simulation

• 🟡Spread across the other methodologies' scores: ±23 points — Real, independent methodologies converging on a similar view is weak evidence of a genuine, findable edge — wide disagreement suggests there isn't one.
• 🔴Average conviction away from neutral: 6 points — A near-neutral average is exactly the case Malkiel/Bogle expect most stocks to be — no strong signal to act on.
• 🟢Average real-data availability: 83% — A case built on real, available data is at least a fair test — one built on missing data is no case at all.

Fact → Principle → Simulation

• 🟡Market structure: range — Livermore's first rule: trade with the established trend, not against it.
• 🟢ADX(14): 33 — A strong trend (not a directionless chop) is exactly the setup Livermore waited for.
• 🔴MACD histogram: -0.69 — Positive momentum confirmation supports staying with the trend.
• 🔴12-period rate of change: -7.6% — Livermore read price momentum itself as the most reliable signal available.
• 🟢Volume vs. 20-day average: 1.30x — Livermore looked for volume confirming a move, not a thin, unconvincing rally.

Fact → Principle → Simulation

• 🔴Price/Book: 2.09 — The Enterprising Investor accepts a deeper, more aggressive book-value discount than the Defensive screen requires.
• 🟡P/E ratio: 11.1 — Statistically cheap earnings, a looser bar than the Defensive screen's ~15x ceiling.

Fact → Principle → Simulation

• 🔴PEG ratio: 11.29 (P/E 11.1 / EPS growth 1%) — Lynch's core test: a PEG under 1 is attractive, under 0.5 is excellent — growth the price hasn't caught up to.
• 🔴EPS growth: 1.0% — Lynch's 'fast growers' category specifically sought strong, sustained EPS growth.
• 🔴Revenue growth: 3.1% — Real, growing revenue backs up a growth story rather than just margin expansion.
• 🔴Operating margin is stable or improving — Lynch preferred a growth story that isn't being bought with shrinking margins.