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The LAND Framework: How I Find Assets The Market Can't Properly Value
GAAP hides value - Texas Pacific's ~800,000 acres sit on the balance sheet at a carrying value of zero, yet the trust is worth roughly $26 billion, illustrating persistent mispricing Proprietary LAND scorecard identifies priorities - Texas Pacific Land (TPL) 92, LandBridge (LB) 81, Rayonier (RYN) 76, Whirlpool (WHR) 11, use as initial sourcing signal LAND is a mispricing detector, not a quality test - screen for assets carried below market, then apply TOLL+M to determine whether the underlying business warrants ownership Locked Supply and Accounting Gap are decisive - replication must be mechanically impossible, and vintage matters because acquisitions reset fair-value accounting and close the gap Nominal Linkage determines real upside - prefer royalties on gross, commodity linkage, or market-rate rent resets; fixed low escalators often fail to protect cash flow from inflation
How I Use the GNG AI Analyst to Find Stocks Worth Owning: A Complete Beginner's Walkthrough
Use the GNG AI Analyst to compress an evening of work into about 15 minutes - it pulls live prices, fundamentals, filings, dividends, earnings and news into interactive charts inside the chat workspace Run plain-English screens across 5000+ tickers - example filter: dividend yield >2.5%, 5yr dividend growth >6%/yr, payout <75%, market cap >$10bn, sort by discount to fair value; queries cost pennies of credits Interpret the results like an analyst - be suspicious of extreme top rows, prefer names that are solid across columns, and refine with follow-up questions until you reach a 5-10 name shortlist Use the single-question "full overview" to get price chart, company profile, earnings vs estimates, dividend history, news sentiment and insider activity Assess dividend safety and sizing with payout ratio and growth - rule of thumb 30-40% payout offers room to grow, 90%+ is high cut risk, and always check the GNG rating and fair value before allocating capital
GNG Research Radar | August 8–14, 2026
NVIDIA struck platform deals with Apollo, BlackRock, Blackstone, Brookfield, Goldman and KKR to enable >$500bn potential AI-infrastructure financing, but capacity is not committed PJM attributes roughly 30 GW of its projected 32 GW load growth through 2030 to data centers; proposed rule would force new large loads to bring generation or accept emergency curtailment Pentagon draft memo directs up to $244m to Palantir services through Mar 2027 and seeks funding to Dec 2028, potentially expanding PLTR into munitions production and supply-chain work Cisco reported $9.3bn FY2026 hyperscaler AI-infrastructure orders and expects related revenue to rise from ~$4bn to $7.5bn in FY2027; Supermicro posted $39.1bn FY2026 sales and guided $65-72bn Sandisk forecasts 1.2ZB enterprise flash demand by 2030 and targets mid-to-high-teens CAGR FY2028-30; Applied Materials revenue $9.12bn, +25% - supports suppliers, but tech is ~30% of MSCI ACWI
LandBridge & Texas Pacific Land Dominate My Portfolio - But One Is Clearly My Favorite
LandBridge and Texas Pacific Land both posted record quarters, but the market reaction exposed a major divergence in how investors are valuing the two stories. TPL’s results were boosted by unusually high oil prices, while softer oil volumes, weaker Waha gas pricing, and falling forward inventory complicate the picture. LandBridge’s core advantage is becoming clearer: scarce Permian pore space, rising water royalty rates, and limited direct commodity exposure. I remain bullish on both stocks, but LandBridge is my preferred way to add exposure today because its thesis is cleaner and its infrastructure moat is strengthening.
I Ranked 3 Gold Royalty Stocks - And Overruled My Own Model
Macro thesis - AI-driven deflation pressures sovereigns to "run it hot" with fiscal stimulus, creating a structural tailwind for gold as a non-dilutable store of value for portfolio hedging Prefer royalty/stream model over owning miners - upfront capital buys perpetual cash flows with no operating capex, lower operational risk, and scalable asset-light returns tied to producer efficiency Instrument distinction matters - royalties pay a percentage of production, streams pay fixed discounted prices; FNV cash cost $341/GEO (≈91% adj. EBITDA margin), WPM $681/GEO, RGLD ≈$677/GEO Scale and efficiency are extreme - WPM runs on 46 employees, RGLD on 39, RGLD reports enterprise value per employee ≈$568m, and the three firms sum to roughly $107 billion in market value Actionable earnings checklist - evaluate contract terms, asset concentration, cost per ounce trajectory, capital allocation discipline and valuation vs TOLL plus four tiebreakers
An analyst on your bench, fluent in everything GNG knows.
Most assistants guess. This one runs the screener, opens the backtester, simulates the path, then shows its work. Built on top of every dataset we own.
- Ask plain English. The assistant reaches the same data and tools you'd open in a tab.
- Hands off to specialist sub-agents for the backtester, Monte Carlo, the Research Terminal, and screening.
- Shows you the chart it built, the table it pulled, and the math behind the call. No black box.
- Remembers what you care about across chats. Pin a memory once, reference it forever.
Aristocrats beat SPY by 138 bps CAGR with a shallower drawdown. Quality is doing the work here, the yield is incidental.
Research Terminal
Screen the market the way an analyst would.
A limited preview with the top 200 stocks by market cap and 20 columns. Create a free account for the full terminal with 4,500+ companies and 300+ metrics.
Test the thesis before you spend a dollar on it.
Set the basket. Set the rule. We replay the market back to 2005 and show you what would have actually happened, drawdowns and all.
- Twenty years of daily data, replayed honestly, with the costs and taxes you'd actually pay.
- Fixed-share or percentage-weight rebalancing on any cadence you can name.
- Compare two strategies and a benchmark side by side, on one chart.
- Full trade ledger for every entry, exit, dividend, and split.
A thousand futures. One portfolio. Honest probability bands.
Find the fifth-percentile outcome before you find it the hard way. Run the path you actually have to live through, not the average you'd like to.
- Sample from real historical regime windows, not a tidy normal curve, so the tails behave like reality.
- 5th, 50th, and 95th percentile bands across the full horizon.
- Stress-test withdrawals, contributions, and rebalances in one run.
- 1,000 to 10,000 paths per simulation. The slow part is your patience, not the math.
Income, ten years out, with the math written down.
Plug in a portfolio. We compound growth at each name's own pace, watch the payout ratio for stress, and show you the cheque you'd have written every year.
- Per-ticker dividend growth rates, payout-ratio guardrails, and a real coverage view.
- Stacks qualified and ordinary income side by side for tax planning.
- DRIP toggle reinvests at modeled prices, not at today's snapshot.
- Ten-year forecast on any portfolio, watchlist, or model.
Your whole book, two ways to bring it in.
Connect a brokerage in thirty seconds, or paste a year of trades from a CSV. Either way, the numbers reconcile against twenty years of split, dividend, and corporate-action data.
- Link your brokerage with Plaid, or keep it private and type it in yourself.
- Bulk-paste a year of transactions from a CSV and the importer maps them for you.
- Price alerts, dividend alerts, and earnings reminders that fire while you're at the gym.
- Cost basis, realized gains, sector drift, and dividend cadence in one view.
| Ticker | Value | Day | YTD |
|---|---|---|---|
| MSFT | $17,436.72 | +0.84% | +18.4% |
| BRK.B | $11,810.16 | +0.21% | +11.2% |
| KO | $10,368.60 | -0.31% | +6.5% |
| COST | $8,217.45 | +1.42% | +24.8% |
| JPM | $7,143.12 | -0.18% | +9.1% |
Ideas from the desk, with the math next to them.
Pre-built portfolios our analysts actually hold and refresh, plus the monthly Top Picks list. Every position has a reason and a number attached.
- Model portfolios built and held by GNG analysts, with the rationale on every position.
- Top Picks refreshed monthly, the ten names the desk wants on the radar.
- Clone any model into your own tracked book in a click.
- Track each model's drawdown, Sharpe, and contribution per name.
High ROIC, durable margins
25Y+ consecutive raises
FCF yield > 6%, low leverage
Analyst-curated, refreshed monthly
Filter the market the way an analyst would.
Most screeners limit you to fifteen fields and a free-tier paywall on anything useful. We give you the whole desk's field set, plus the option chain when you need it.
- Filter the whole US market on 300+ fundamental, technical, and proprietary fields.
- Save filter sets and re-run them as the market moves.
- Options screening for unusual flow, IV percentile, and probability of profit.
- Export to CSV, push to a watchlist, or hand the set to the AI Console for context.
| Ticker | P/E | Div Yield | Mkt Cap |
|---|---|---|---|
| MSFT | 32.8 | 0.71% | $3.08T |
| AAPL | 29.1 | 0.52% | $2.94T |
| GOOGL | 22.4 | 0.40% | $2.11T |
| CSCO | 16.2 | 2.81% | $218B |
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