TGA Academy · Starter Guide
A simple, disciplined framework for building a portfolio that follows a diversified, long-term strategy — start with a low-maintenance ETF core, then optionally layer in individual stocks for extra conviction.
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Everything here is personal opinion and commentary, never financial, investment, legal, or tax advice. We have no knowledge of your goals, finances, or risk tolerance, so nothing in this guide is tailored to you, and nothing should be read as an offer, solicitation, or recommendation to buy, sell, or hold any product.
Any decision you make is your own. Before acting, please do your own research and, where it matters, consult a suitably qualified and licensed professional. Markets carry real risk: prices fall as well as rise, individual stocks are higher-risk than diversified ETFs, and you can lose some or all of the capital you commit. The ratios, figures, and examples shown are illustrative only and are no promise of future performance.
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A few words you'll hear constantly — and the single most important truth about how markets behave over time.
🎲 The market is not a casino. A casino is built so the odds favour the house and every bet is zero-sum. The market is the opposite: you're buying part-ownership of real businesses that earn, grow, and compound over decades — and historically the whole pie has grown. Chasing tips, betting big on one name, or trying to time every move is treating it like a casino. Owning quality broadly and staying invested is how the odds tilt in your favour.
The market has survived everything thrown at it. Each of these felt like the end at the time. Every one was temporary.
📈 After every single one, the market recovered and went on to make new all-time highs. Through world wars, recessions, oil shocks and pandemics, the long-term trend has been up. The crises are real — but on a long enough timeline, they become blips on a rising line.
Based on S&P 500 history, the chance of ending with a positive return climbs sharply the longer you hold.
Approximate figures from historical S&P 500 rolling periods (~1928–present); exact numbers vary by source and window. Notably, every 20-year period in history has produced a positive return. Past performance does not guarantee future results.
Most people fail at investing because they start with the hard part — picking individual stocks. This method flips it: build a diversified ETF engine first, get it running on autopilot, and only then consider adding individual names as an optional boost.
A handful of ETFs in fixed ratios. This is 80%+ of your portfolio and does the heavy lifting.
Individual stocks added gradually for extra conviction. Capped, never the foundation.
🎯 Why this order matters: the ETF engine gives you broad diversification and sharply reduces single-stock risk. If you never add a single individual stock, you still have a complete, working portfolio. The stocks are a boost, not a requirement.
This is the reason the whole method leans on ETFs — and caps individual stocks at 20%.
Your money rides on a single company. A fraud, a failed product, a lawsuit, or one bad quarter can drop it 50–100% — and nothing inside the position cushions you. Enron, Lehman and Wirecard all went to zero; the people holding them lost everything.
Your money is spread across hundreds of companies at once. If one collapses, it is a sliver of the fund and the other hundreds keep compounding. A single failure is just a sliver — the basket absorbs the blow internally, so one company going to zero doesn’t take the whole portfolio with it.
📐 The maths is simple. If a stock worth 2% of your portfolio goes to zero, you lose 2%. If a stock that is your whole portfolio goes to zero, you lose everything. Diversification barely lowers your long-run return — but it removes the outcomes that end the game.
🧩 This is exactly why the method is 80% ETF / 20% stock. The diversified ETF engine is the safe foundation — 80%+ of the portfolio, where no single company dominates the outcome. Individual stocks are an optional booster capped at 20%, so even if one pick blows up, the damage to the overall portfolio stays limited. You capture a slice of stock-picking’s upside without ever betting the whole thing on it.
The single habit that turns those odds into your favour.
Nobody — not even the professionals — reliably calls the exact top or bottom. Investors who sit in cash waiting for the "perfect" moment usually miss the biggest up-days, which often arrive right after the scariest drops. Staying invested through the ups and downs has historically beaten trying to jump in and out.
So instead of guessing when to buy, you remove the guessing entirely — with a simple, automatic habit.
DCA simply means putting in the same amount on a set schedule — say $500 every month — no matter what the market is doing that week. You don't try to pick the bottom; you just keep buying, automatically.
Over time this smooths out your average entry price and takes the emotion and guesswork out of investing. You don't have to be right about timing — you just have to be consistent. That's exactly how the ETF engine runs: automatic monthly buys that never stop.
Same $600 every month. When the price dips to $24 your money buys a big slug of shares; when it spikes to $48 it buys only a few. Add it up — 6 buys, $3,600 in, ~102 shares — and your average cost lands near $35, right in the middle of the swing and actually below the simple average price of ~$37. The cheap months did the heavy lifting, and you never had to guess the bottom.
The framework’s foundation is a core built entirely from ETFs, held in fixed ratios — funded, balanced, and left to run, with no stock-picking required. The specific funds and weights below are Master Z’s own illustrative line-up, shown to explain how the method works — not a recommendation to buy any particular fund.
| Category · ETF | Role | Weight |
|---|---|---|
| Core — total 20% | ||
| VOO | S&P 500 broad market | 20% |
| Momentum — total 20% | ||
| SPMO | S&P 500 momentum leaders | 20% |
| Growth — total 40% | ||
| VGT | U.S. technology sector | 17% |
| QTOP | Nasdaq top-30 mega-caps | 17% |
| SOXX | Semiconductors | 6% |
| Defense — total 20% | ||
| SCHD | Dividend / defensive core | 20% |
| ETF Engine | 100% | |
⚙️ How to run it: set a yearly allocation, then split it two ways — most into steady monthly buying, the rest held back as dry powder to deploy manually when the market dips to support. The ratio does the thinking; you just keep feeding it, and rebalance occasionally to bring weights back to target.
Spread evenly across 12 months. Automatic, hands-off buying — the bedrock of the engine.
Held back for manual tranche buying when the market drops to support. Unused cash sits in a money-market fund earning yield.
| ETF | Weight | Monthly | Annual |
|---|---|---|---|
| SPMO | 20% | $100 | $1,200 |
| VOO | 20% | $100 | $1,200 |
| SCHD | 20% | $100 | $1,200 |
| QTOP | 17% | $85 | $1,020 |
| VGT | 17% | $85 | $1,020 |
| SOXX | 6% | $30 | $360 |
| Total | 100% | $500 | $6,000 |
| Sleeve | Benchmark & support levels | Tranches |
|---|---|---|
| Core SPMO·VOO | VOO −5% · −10% · −15% · −20% | 4 |
| Growth VGT·QTOP·SOXX | QQQ −10% · −20% · −30% · −40% | 4 |
| Defense SCHD | SCHD −5% · −10% · −15% | 3 |
| Total | 11 support levels across 3 sleeves | 11 |
Each time any sleeve touches one of its levels, deploy one tranche (~$364) across the whole engine at target ratio. The deeper the selloff, the more levels you cross and the more dry powder you put to work.
💧 Why stage it? If you deploy everything at −5% and the market falls to −20%, you're out of ammo at the best prices. Staging across the levels means you always keep dry powder for a deeper drop — and the reserve sits on top of your monthly DCA, which never stops.
🛑 When the reserve is used up — stop and hold. Once it's fully deployed, do nothing further even if the market keeps falling. Don't sell, don't borrow, don't add money set aside for other things. Hold your positions and let them recover; the reserve refills with next year's allocation.
Every ETF is a basket of stocks. Add up what they all hold underneath, and the engine's real sector exposure is far broader than six tickers suggest.
🔁 Notice the overlap. NVIDIA and Broadcom show up in nearly every growth-leaning fund, and Apple and Microsoft repeat across VOO, VGT and QTOP — so there’s little reason to also hold them individually — the engine already owns the mega-caps many times over. SCHD is the outlier — a value / dividend set that barely overlaps — which is exactly what makes it the engine’s diversifier and defensive anchor.
Top-10 holdings shown as of early 2026; weights drift continuously as prices move and funds rebalance.
Combine every holding across all six funds and this is the real, look-through exposure.
⚖️ Roughly 62% growth, 16% defence, the rest cyclical. Aggressive enough to compound meaningfully over time, defensive enough to soften the drops — the defensive sleeve is what lets you hold calmly when markets fall.
Once the engine is built and running, you may add individual stocks to lean into high-conviction names. Entirely optional — the engine alone is a complete portfolio.
Your total individual-stock allocation stays under 20% of the portfolio — combined, not per stock. The other 80%+ always stays in the diversified ETF engine.
Evenly spread — maximum diversification within the cap.
A balanced middle ground.
Fewer names, slightly more concentrated.
Highest conviction, fewest positions.
🛡 Why 20%? If your entire stock sleeve dropped 50% in a crash, that's only a ~10% hit to the total portfolio — cushioned by the 80% engine. A single bad pick is very unlikely to sink the whole portfolio. And stage every position in 4 tranches as it dips to support, so you average down into strength rather than going all-in at the top.
⚓ The one rule: only add to a single stock once it has dropped to its support level — never because it just ran up. You don’t have to chart it yourself: Master Z shares his own view when a name reaches a level he’s watching — as personal commentary, not a signal to buy. And keep each name to 2% of the portfolio, so 10 names × 2% fills the full 20% sleeve and no single pick can dominate.
📐 What sets that level — “IV” (intrinsic value): a stock’s intrinsic value is an estimate of what the business is genuinely worth — built from its earnings, cash flow and growth — separate from whatever the share price happens to be on any given day. When the market price falls to or below that intrinsic value, you are buying the business for less than it’s worth: a margin of safety. Master Z shares his own intrinsic-value estimates and notes when a name trades near them — commentary on how he thinks about timing his own entries, for members to study and research themselves.
Spread the $4,000 reserve across 10 picks and that’s $400 a name — staged as four $100 tranches, one deployed each time the stock dips to a deeper support level. You average down into strength instead of going all-in at the top.
Flexible by design: that $4,000 reserve can buy ETF-engine dips or single-stock dips — whichever quality opportunity shows up. Bounce after one or two tranches and you’re already in; keep falling and you keep averaging down to support. If a name needs more than $400, take it from the reserve too — just never let any single position pass 2% of the book.
An example of the selection philosophy in action.
The core engine already carries strong growth and AI exposure — so the goal is not to chase names that have already moved parabolically. Paying tomorrow’s price for yesterday’s gain is how good portfolios get hurt late in a theme.
Instead, Master Z steers his own fresh capital gradually into neglected quality areas — slowly building defensive compounders such as WM and HCA, while watching financial-quality names like MA and SPGI.
| Ticker | Bucket | Why it’s on the list | Stance |
|---|---|---|---|
| WM | Waste / services | Recession-resilient, route-density moat — a steady high-single to low-double-digit compounder the crowd finds boring. | Accumulating |
| HCA | Healthcare facilities | High-return hospital operator sold off with the broader healthcare complex despite a durable franchise. | Accumulating |
| MA | Financials / payments | Asset-light toll-road on global card volume; a secular grower trading well off peak attention. | Watching |
| SPGI | Financials / data | Wide-moat ratings, indices & market-intelligence franchise that re-rates when quality comes back into favour. | Watching |
Accumulating and Watching reflect Master Z’s own personal stance, shared purely for education — not a recommendation, signal, or advice to anyone. Within the framework each name stays inside the 20% sleeve (≤ 2% of the book, added in tranches). Illustrative watchlist only — always do your own research.
Your behaviour decides your returns far more than your holdings. Master these first.
📈 The long view: the market has recovered from every crash in history given enough time — 2008 (−57%), COVID (−34%), the dot-com bust (−49%). The investors who win aren't the smartest; they're the ones who stayed calm and never sold in fear.
The whole market falls together. Both the engine and a stock portfolio drop — but the engine drops less, holding hundreds of positions across every sector. Historically temporary, and so far always recovered.
One company collapses — scandal, regulation, an earnings disaster. The market is fine; that one stock is not. The engine absorbs it internally — a concentrated picker takes the full hit.
🛡 A real example: a major healthcare company dropped −75% over 2025–26 on a CEO scandal and DOJ investigation — nothing to do with the market. A concentrated holder felt every percent; inside a diversified engine it's a rounding error. That's exactly why the method caps individual stocks at 20%.
Same $10,000 starting portfolio, same monthly contributions — only the structure differs.
| Scenario | Stocks | Engine | Edge |
|---|---|---|---|
| Calm | $15.8K | $15.2K | Stocks +$600 |
| Calm, 2 blowups | $15.2K | $15.2K | Even |
| 1 bear | $9.4K | $10.1K | Engine +$700 |
| 2 bears + 2 blowups | $5.4K | $6.8K | Engine +$1.4K |
| Scenario | Stocks | Engine | Edge |
|---|---|---|---|
| Calm | $21.2K | $20.1K | Stocks +$1.1K |
| 1 bear | $12.6K | $13.3K | Engine +$700 |
| 1 bear + 2 blowups | $12.1K | $13.3K | Engine +$1.2K |
| 2 bears + 2 blowups | $7.3K | $8.9K | Engine +$1.6K |
| Scenario | Stocks | Engine | Edge |
|---|---|---|---|
| Calm | $44.1K | $39.1K | Stocks +$5K |
| 1 bear + 1 blowup | $25.6K | $26.3K | Engine +$700 |
| 2 bears + 2 blowups | $15.4K | $17.6K | Engine +$2.2K |
| 3 bears + 2 blowups | $9.3K | $11.8K | Engine +$2.5K |
| Scenario | Stocks | Engine | Edge |
|---|---|---|---|
| Calm | $182K | $144K | Stocks +$38K |
| 1 bear | $112K | $98K | Stocks +$14K |
| 2 bears + 2 blowups | $65.1K | $65.6K | Engine +$500 |
| 3 bears + 2 blowups | $38.8K | $43.9K | Engine +$5.1K |
⚖️ The honest trade-off: in calm markets with no blowups, concentrated stock-picking can edge ahead. But the moment bear markets and blowups stack up — which they always do, given enough time — the diversified engine has tended to pull ahead and cushion the downside. You trade a slice of best-case upside for a floor under the worst case.