Video Summary - How to Pick Winning Stocks (The Simple Way) by Adam Khoo

Core idea: find bargains vs intrinsic value, but demand quality first

Even when the overall market (S&P 500) is at or near all-time highs, there can still be great companies selling at reasonable prices or discounts.
The approach uses a tool (“Stock Oracle”) with a Value Radar heat map that ranks roughly S&P 500 (500 companies) by:
- Discount/premium to intrinsic value (intrinsic value is central to the process)
- Recent performance buckets (e.g., 1 day / 1 week / 1 month / 3 months / YTD)
Key rule: Quality first, valuation second
- Avoid buying “cheap crap”—cheap but low-quality businesses.

Step-by-step workflow (as described)

Open Value Radar (heat map) for the S&P 500.
Identify candidates that are:
- Undervalued vs intrinsic value (minus = discount; plus = above intrinsic value)
- High quality (quality is prioritized over valuation alone)
Optionally zoom into sectors (example: “technology”).
For each standout:
- Check financials to ensure valuation metrics make sense
- Evaluate risk using debt ratios and moat strength
Use different standards for:
- Investing: minimize uncertainty; rely on predictable earnings/cash flows and intrinsic value normalization
- Trading: valuation matters less; use price action plus stops/targets

Key examples + numbers

Valuation screen examples (undervalued by % vs intrinsic value)

From Value Radar (YTD performance is shown, but the message is that it’s not what matters for the future):

Nvidia (NVDA): ~10% below intrinsic value
Microsoft (MSFT): ~18% below intrinsic value
Meta (META): ~40% undervalued

Market context examples (YTD):

Apple (AAPL): up 24% YTD
Microsoft (MSFT): down 18% YTD
Google / Alphabet (GOOG/GOOGL): up 7% YTD
Amazon (AMZN): down 1% YTD
JP Morgan (JPM): up 8% YTD

Why P/E can “look cheap” but be misleading (Micron case)

Micron (MU) was flagged as ~57% overvalued even though it had a low forward P/E ~5.6.
Reason: MU is cyclical
- Profits/net income rise and fall sharply with memory chip pricing/demand.
- The “cheap” P/E can be an illusion if earnings are temporarily high.
Forward-looking uncertainty framework:
- If memory pricing sustains forever → intrinsic value could be extremely high (example cited: $249,000 via DCF)
- If cyclical profits revert to normal → intrinsic value drops drastically (example cited: about $500 using a “mean PE” idea)
- Oracle’s conservative stance: ~$556, implying ~57% overvalued
Practical distinction:
- Investing: avoid when cyclicality makes the future uncertain
- Trading: MU may be tradeable using technicals and strict risk controls

Trading setup for Micron (price-action, risk-managed)

Cited technical pattern: double bottom / “bear trap”
Triggers/indicators mentioned:
- Price closed bullish above a swing low
- Breached lower Bollinger Bands
- Stochastics showing “oversold”
Risk management (explicit):
- Entry: “buy here” (example referenced: entry around the Friday open)
- Stop-loss: below the swing low (~1R risk)
- Take-profit: around 2R, near/exceeding the previous high
Core caution:
- Even overvalued stocks can become more overvalued short term—stops matter.

“Investable” vs “tradeable” universe filter

Claim: <1% of stocks are investable (very predictable compounders).
99% are “not investable” but can still be tradeable based on price movement.
Examples:
- Cyclical/unpredictable: conceptually SpaceX, and Micron (MU)
- More investable: Mastercard (MA) (non-cyclical profits compounding; consistent upward trend)

Debt risk: avoid scary leverage; don’t trust headlines alone

Debt should be assessed relative to earnings/cash flow, using debt ratios, not media narratives.

Oracle debt threshold example: Oracle (ORCL)

ORCL: flagged around 44% undervalued, but not purchased due to leverage concerns
Debt to EBITDA = 4.32 (considered dangerous)
Rule of thumb:
- If debt/EBITDA > 3, he avoids (too over-leveraged)

Meta (META) debt ratios (rebuttal to “high debt” headlines)

For META, cited metrics include:

Current ratio: 2.23 (safe)
Debt servicing ratio: “zero” (safe), stated to be safe if below 30%
Interest coverage ratio: in the “70s” (described as “insane”/very strong)
- Threshold mentioned: at least 3 or 5+
Debt to EBITDA: 0.75
- Interpreted as the ability to pay off debt in about 0.75 years
Conclusion stance:
- Despite headlines, the ratios suggest strong financial capacity.

Free cash flow dip explanation (Meta case)

Concern: free cash flow turning negative after capex increases.

Two scenarios:
- Bad: revenue and operating cash flow fall → free cash flow negative
- Not necessarily bad: capex (growth capex) rises while revenue/operating cash flow grow → temporary free cash flow weakness
Meta numbers/valuation outputs:
- Using recent lowered free cash flow: intrinsic value $557; referenced price: $539
- Using normalized free cash flow (capex normalized): intrinsic value around $900
Emphasis:
- Oracle’s approach “normalizes” free cash flow if CAPEX jumps suddenly.

Meta investing opportunity + entry logic (support level)

Described as a “highest conviction opportunity” (with the explicit note that it’s not a direct buy instruction).
Referenced values/logic:
- Intrinsic value (normalized) around $900
- Price around $539
- Price action: trading in a range with “wave up/down” movement
- Cited support level: $532
Caution:
- No guarantee price cannot drop further—sentiment/manipulation can drive it down.
Risk-reward idea:
- Adding at support levels may offer good risk-reward if the price rebounds.

Screening tools/methods mentioned

1) “Value Radar” (heat map screener)

Ranks S&P 500 names by:

Discount/premium to intrinsic value
Recent performance windows (1d/1w/1m/3m/YTD)

Visual coding:

Discount (green) vs premium (red) to intrinsic value
Moat strength color-coding:
- Wide moat = green (durable competitive advantage)
- Narrow/no moat = less durable (may be tradeable, but not preferred for investing)

2) “Stock screener” (metric filters / “400 metrics”)

A filter-style approach with examples:

Moat score: 7–10 (wide moat)
“AI moat” selection: prefer certain combinations of wide/narrow
“Oracle IQ / predictability” filter:
- Financial strength: at least high–medium
- Revenue/profit predictability: high / high–medium (user configurable)
- Profitability rank: very high
- Growth: high / medium (user configurable)
Valuation filter:
- Price to Oracle value < 1 (price below intrinsic value)
Optional additional user-defined metrics:
- P/E, price-to-book, Rule of 40, etc.

“Set meals” / presets

Pre-built investment themes such as:

“High-quality compounding companies” (wide-moat-like, consistent profitability + growth)
Speculative growth stocks
Defensive recession-proof screens
“Fallen angels” (good companies after drops from temporary problems)
Screens aligned with Peter Lynch and Warren Buffett-style rules

After screening: use charts for entry/exit

Once an idea is found, he looks at charts to plan entry and exit, such as:

Meta using support-level logic
Micron using the double-bottom/bear-trap setup

Disclaimers / disclosure

“I’m not recommending you buy. I’m just sharing this with you for educational purposes.”

Personal disclosure mentioned:

He already owns a lot of Meta (bought years ago at low prices) and has been adding.

Tickers / companies mentioned (explicit or strongly implied)

AAPL, MSFT, GOOG/GOOGL, AMZN, JPM
NVDA, MU (Micron), META, ORCL
MA (Mastercard)
COREP (Core Part mentioned; ticker not fully confirmed)
TSCO (Tesco implied)
NKE (Nike implied)
NOW (ServiceNow implied)
FICO
ZTS (Zoetis implied)
Additional scan outputs (not all fully confirmed):
- LLY, AVGO, ASMI (not confirmed vs ASML)
- AIPUY (Airports of Thailand)
- PLTR, ABNB, RMD
- HSY
SpaceX mentioned conceptually (not a public ticker)

Presenter / source

Adam Khoo (discussing his Stock Oracle / Value Radar approach)

How to Pick Winning Stocks (The Simple Way) by Adam Khoo

Key takeaways