EAElectronic Arts

Fact → Principle → Simulation

• 🟢Daily volatility (ATR): 0.3% of price — Housel's core point: the boring, low-volatility holding is the one you can actually stay invested in long enough to compound.
• 🟢Debt/Equity: 0.22 — Financial fragility is what turns a bad year into a forced sale — Housel's 'room for error' principle.

Fact → Principle → Simulation

• 🟢Market structure: uptrend — Livermore's first rule: trade with the established trend, not against it.
• 🟢ADX(14): 49 — A strong trend (not a directionless chop) is exactly the setup Livermore waited for.
• 🟢MACD histogram: 0.24 — Positive momentum confirmation supports staying with the trend.
• 🟡12-period rate of change: +2.3% — Livermore read price momentum itself as the most reliable signal available.
• 🟢Volume vs. 20-day average: 2.40x — Livermore looked for volume confirming a move, not a thin, unconvincing rally.

Fact → Principle → Simulation

• 🟢Composite risk score: 64/100 — Loeb's rule was capital preservation first — missing a gain is far better than absorbing a large loss.
• 🟢Daily volatility (ATR): 0.3% of price — Loeb watched volatility closely — a wild swinger is a much harder position to cut losses on cleanly.
• 🟢Debt/Equity: 0.22 — Leverage is the single fastest way to turn a manageable drawdown into a permanent loss of capital.
• 🔴Current ratio: 1.05 — A cushion of short-term liquidity is part of what keeps a losing position from becoming forced selling.

Fact → Principle → Simulation

• 🟢ADX(14): 49 — Schwager's wizards consistently avoided directionless chop — a real, tradeable trend is the precondition.
• 🔴Reward/risk to resistance vs. support: 0.03 — Schwager's central lesson: trade setups with real, favorable reward-to-risk, not just a hunch about direction.
• 🟢Volume vs. 20-day average: 2.40x — Real conviction shows up in volume — a setup without it is a much weaker bet.
• 🟢Market structure: uptrend — A defined trend gives a real setup to trade; a range is exactly what disciplined traders wait out.

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: 0.9% — 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.
• 🟢Debt/Equity: 0.22 — A conservative balance sheet is what lets a holding survive a full decade, including its bad years.

Fact → Principle → Simulation

• 🟢Composite risk score: 64/100 — Marks' central argument is that risk-awareness matters more than raw return-seeking.
• 🟢Distance above 200-day average: +3.5% — 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: 92/100 — Marks is explicitly wary when sentiment is near-universally positive — that's exactly when expectations get hardest to beat.
• 🟢Debt/Equity: 0.22 — Leverage amplifies whatever the cycle does next, for better or worse — a risk factor Marks weighs explicitly.

Fact → Principle → Simulation

• 🟢Distance above 200-day average: +3.5% — Mackay's delusions always shared one trait: prices detached from any reasonable anchor.
• 🔴RSI(14): 82 — An extreme, sustained RSI is one signature of a crowd already 'all in.'
• 🔴News sentiment score: 92/100 — Near-universal enthusiasm in the coverage is exactly the pattern that preceded every mania Mackay documented.
• 🟢12-period rate of change: +2.3% — A sudden, sharp acceleration is more consistent with mania than with steady, sustainable demand.

Fact → Principle → Simulation

• 🔴Current ratio: 1.05 — Bagehot's core concern was whether short-term obligations can be met without a fire sale.
• 🟢Quick ratio: 1.05 — A stricter liquidity test excluding inventory — closer to real, immediately available cash cover.
• 🟢Debt/Equity: 0.22 — Heavy leverage is exactly what turns a temporary liquidity problem into insolvency.

Fact → Principle → Simulation

• 🔴Spread across the other methodologies' scores: ±27 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: 7 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: 84% — 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

• 🔴Net income growth (-20.9%) vs. revenue growth (0.9%) — 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, 0 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: 13.1% — Real, moderate-to-strong returns on capital — not so extreme as to suggest it's leverage-driven rather than operational.

Fact → Principle → Simulation

• 🔴EPS growth: -17.4% — Lynch's 'fast growers' category specifically sought strong, sustained EPS growth.
• 🔴Revenue growth: 0.9% — 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.
• 🟢Debt/Equity: 0.22 — Lynch was wary of fast growers propped up by heavy debt.

Fact → Principle → Simulation

• 🟢Distance from 200-day average: +3.5% — Marks' cycle framework treats distance from a long-term anchor as the clearest single cycle-position signal.
• 🔴RSI(14): 82 — An extended oscillator reading is one more sign of a late-cycle position, not early.
• 🟢3-month relative strength vs. S&P 500: +1.5pp — Wild outperformance or underperformance vs. the broad market often marks a crowded, late-cycle trade.
• 🔴News sentiment score: 92/100 — Marks: risk is highest exactly when everyone agrees things look great.

Fact → Principle → Simulation

• 🔴P/E ratio: 59.1 — Graham's defensive investor favored a moderate P/E, historically around 15x or less.
• 🔴Price/Book: 7.78 — Graham's classic screen preferred price no more than ~1.5x book value.
• 🔴Current ratio: 1.05 — Graham's defensive investor required strong short-term financial condition, roughly 2:1 or better.
• 🟢Debt/Equity: 0.22 — Graham avoided companies with heavy debt loads relative to equity.

Fact → Principle → Simulation

• 🔴Operating margin: 18.6% -> 15.4% — 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: 0.9% — Fisher sought companies with above-average, sustainable sales growth.
• 🟡Net margin: 11.8% — High absolute profitability is a rough proxy for pricing power, one of the qualities Fisher's interviews aimed to uncover.

Fact → Principle → Simulation

• 🔴Price/Book: 7.78 — The Enterprising Investor accepts a deeper, more aggressive book-value discount than the Defensive screen requires.
• 🔴P/E ratio: 59.1 — Statistically cheap earnings, a looser bar than the Defensive screen's ~15x ceiling.
• 🟡Current ratio: 1.05 — Still tracked, but the Enterprising Investor will tolerate a weaker safety margin for a deep enough discount.

Fact → Principle → Simulation

• 🔴RSI(14): 82 — Nelson read cyclical exhaustion and renewal in price oscillation, not just trend direction.
• 🔴Stochastic %K: 95 — A cycle nearing its low end offers more room to move than one already stretched to its high end.
• 🔴Williams %R: -5 — A second, independent read on the same overbought/oversold question.
• 🔴CCI(20): 111 — An extreme reading here is exactly the kind of cyclical extension Nelson's method watched for.
• 🔴Bollinger %B: 0.87 — Position within the recent trading range, a purely statistical cycle marker.