Stocks, end to end — owning pieces of the world's great businesses

Equity ownership in one paragraph

When you buy a share of Apple, you own a tiny piece of Apple. You're entitled to your proportional share of its cash flows (via dividends or buybacks), you vote on major corporate decisions, and you can sell your piece to someone else whenever the market is open. That's what "equity" means — it's a residual claim, after creditors, on everything the business is worth.

Common vs. preferred stock

Almost every retail stock conversation refers to common stock. Preferred is a different instrument with a different use case (income, capital stack positioning).

Dividends & buybacks

Companies return cash to shareholders two ways:

• Dividends — direct cash payments, usually quarterly. Predictable, taxable.
• Buybacks — the company repurchases its own shares, which shrinks share count and raises everyone else's ownership percentage. Tax-efficient and flexible.

Warren Buffett is famously obsessed with buybacks because they compound value silently without triggering a taxable event for shareholders. Dividends matter to income investors; buybacks matter to long-term compounders.

Why stocks work over time

Historically, US stocks have returned ~7% per year real (after inflation) over 100+ years. That's not an accident — it's the compounding earnings of real businesses passed through to owners. The catch: to capture that return, you have to survive 50%+ drawdowns that occur every 10–15 years. Most people sell in those drawdowns. Discipline is the entire game.

The major US exchanges

Trading hours

• Pre-market — 4:00 AM – 9:30 AM ET. Thin liquidity, wide spreads.
• Regular hours (RTH) — 9:30 AM – 4:00 PM ET. Where 95%+ of meaningful volume happens.
• After-hours — 4:00 PM – 8:00 PM ET. Earnings-reaction zone; use limit orders only.

Avoid market orders outside regular hours. Spreads can be dollars wide on thin tape and you'll get a terrible fill.

Order types that matter

T+1 settlement

As of May 2024, US equity trades settle T+1 — trade date plus one business day. Sell Monday, cash is available Tuesday. This matters for margin, good-faith violations in cash accounts, and dividend capture strategies.

Market cap categories

The three financial statements

• Income statement — revenue, costs, and profit over a period. Answers: is the business profitable?
• Balance sheet — assets, liabilities, and equity at a snapshot in time. Answers: is the business solvent?
• Cash flow statement — where cash actually came from and went. Answers: is the business generating real money?

Of the three, the cash flow statement is the hardest to fake. Start there when evaluating any company.

Key income statement lines

• Revenue / Sales — top line. Growth rate and trend matter.
• Gross profit — revenue minus cost of goods sold. Gross margin = gross profit / revenue.
• Operating income — gross profit minus operating expenses. Operating margin = core profitability.
• Net income — the bottom line; what's left for shareholders.
• EPS — earnings per share = net income / shares outstanding.

Key balance sheet lines

• Cash & equivalents — dry powder. Companies with $50B+ in cash (AAPL, GOOGL) are structurally defensive.
• Total debt — short- and long-term debt. Compare against cash to get net debt.
• Shareholders' equity — assets minus liabilities. Book value.
• Shares outstanding — watch for dilution over time. Increasing share count is a hidden drag.

Key cash flow lines

• Cash from operations (CFO) — cash generated by the core business. The heartbeat.
• Capex — cash spent on property, plants, equipment, and intangibles.
• Free cash flow (FCF) = CFO − Capex. This is what's really available to shareholders.
• Stock-based compensation — paid in shares; added back to CFO but dilutes you. Many tech companies hide a massive real expense here.

Profitability ratios

ROIC above the company's cost of capital over many years = a real compounder. It's the metric Buffett, Munger, and the best capital allocators all watch.

The 10-K and 10-Q

The 10-K is the annual report filed with the SEC. The 10-Q is the quarterly version. Both are free on sec.gov/EDGAR. Sections to read: Risk Factors, MD&A (Management's Discussion and Analysis), and the notes to the financials. The glossy investor deck is marketing; the 10-K is reality.

Price multiples

Context is everything

A P/E of 30 means nothing in isolation. Compare to:

• The company's own history — is this cheap or expensive for this business?
• Sector peers — is AAPL cheap vs MSFT and GOOGL?
• Growth rate — a 30× P/E with 30% earnings growth is different from 30× with 5% growth.
• Interest rates — high rates compress multiples; low rates expand them.

Discounted Cash Flow (DCF)

The "theoretically correct" way to value a business: project future free cash flows, discount them to present value, sum them up, subtract net debt, divide by shares. The output is intrinsic value per share.

Reality: DCF is extremely sensitive to assumptions. A 1% change in the discount rate or terminal growth rate can double or halve the output. Use DCF as a framework for thinking, not as an oracle.

Reverse DCF

More useful than standard DCF: take the current stock price and solve for the growth rate the market is implying. If NVDA's price requires 40% FCF growth for 10 years, you can judge whether that's reasonable. This is how pros stress-test valuations — what has to be true for this price to make sense?

Dividend Discount Model

For mature, stable-dividend companies (utilities, staples, REITs): value = next year's dividend / (required return − dividend growth rate). A clean framework for income-focused equities. Doesn't work for anything that pays no dividend.

Relative valuation & "normal"

Most practical stock picking is relative: "this stock trades at 18× when it normally trades at 25× and the business hasn't fundamentally changed." Identify the normal range, identify the variant perception, and bet on a reversion you believe will happen. This is the bread and butter of professional value investing.

Charts & candlesticks

Candlesticks show open, high, low, and close for each period. Green/white candles = close above open. Red/black = close below open. Wicks (thin lines) show the full range. Pattern recognition on candles is entry-level TA — hammers, engulfing candles, dojis — useful as context but rarely standalone signals.

Trends, structure & timeframes

A market is in one of three states: trending up (higher highs + higher lows), trending down (lower highs + lower lows), or consolidating (sideways range). Every strategy works in one of these regimes and fails in the others. Recognize the regime before you pick the tactic.

Multi-timeframe analysis: use the weekly for bias, the daily for setup, the hourly or 15-minute for trigger. Most losing trades happen because the trader was fighting a higher-timeframe trend.

Support, resistance & moving averages

• Support / resistance — price levels where buyers or sellers repeatedly stepped in. Prior highs, prior lows, round numbers.
• 20-day EMA — short-term trend filter.
• 50-day SMA — medium-term trend. A stock above its 50-day is "healthy" by convention.
• 200-day SMA — the institutional bull/bear line. Most pros don't buy broken charts trading below their 200.
• Golden cross / death cross — 50 crossing above/below the 200. Symbolic, watched by many, decent as regime filter.

Volume

Volume is the second variable in every chart. Rules of thumb: breakouts need volume to be real; distribution days (high-volume down days) in an uptrend are warnings; quiet pullbacks on low volume inside an uptrend are healthy. If you're going to trust one technical indicator, trust volume.

Common indicators

• RSI — 0–100 oscillator. Above 70 = overbought, below 30 = oversold. Best at spotting divergences, not as a standalone signal.
• MACD — moving average convergence/divergence. Crossovers and histogram momentum.
• Bollinger Bands — volatility envelope around a moving average. Shows mean-reversion setups and compression-to-expansion transitions.
• VWAP — volume-weighted average price. Intraday institutional reference.

More indicators is not better. Pick two or three and master them.

Classic patterns

Head-and-shoulders, double tops/bottoms, flags, wedges, cup-and-handle. These aren't magic — they're visual descriptions of shifts in supply and demand. Most of their predictive power comes from other traders watching the same patterns and trading off them. The self-fulfilling part is real but unreliable.

Value investing

Buy dollars for 60 cents. Buffett, Munger, and Graham before them popularized the style. Modern value is less about low P/E and more about quality at a reasonable price. Key concepts: margin of safety, intrinsic value, business moats, long holding periods.

Growth investing

Pay up for companies with durable, above-average growth. The bet is that earnings compounding outruns the premium multiple. Prime examples in the 2010s: AMZN, NFLX, ADBE. Framework includes TAM analysis, unit economics, LTV/CAC, cohort behavior. Key risk: multiple compression when growth slows.

GARP — growth at a reasonable price

The pragmatic middle. Peter Lynch's style, codified by the PEG ratio. Look for good growth you're not overpaying for. In practice, most professional long-only strategies are some flavor of GARP.

Dividend / income investing

Focus on companies with sustainable, growing dividends. Dividend aristocrats (S&P 500 companies with 25+ consecutive years of dividend increases) are the core universe. Works well for income-replacement goals in retirement. Total returns often trail growth over long periods but with far less volatility.

Index investing

Don't pick stocks. Own the whole market at low cost. Vanguard, Bogle, and 50 years of evidence say the vast majority of active managers can't beat the index after fees. For most people, most of the time, this is the correct default. Even among the pros — most of a portfolio is often passively held with only a sleeve of active stock picks.

Momentum investing

Buy what's going up. Sell what's going down. The single most empirically validated factor in equities over 100+ years. Momentum strategies typically buy top-decile 6–12 month winners and rebalance monthly or quarterly. Works; but suffers brutal crashes (the 2009 "momentum crash" being the classic).

Quantitative / factor investing

Systematically targeting drivers of return like value, momentum, quality, size, and low-volatility. AQR, DFA, Research Affiliates built their businesses here. For retail, the implementation is via factor ETFs (MTUM, QUAL, VLUE, USMV, SIZE). Boring on any given day, strong over decades.

Generating ideas

• Screens — run quantitative filters (ROIC > 15%, FCF yield > 5%, revenue growth > 10%) to surface candidates.
• Customer observation — you notice everyone using a product. Peter Lynch's favorite source.
• Read broadly — podcasts, quarterly letters, industry journals. Ideas come from context.
• Follow great investors — 13F filings show what Berkshire, Baupost, Pershing Square own.
• Spinoffs, IPOs, insider buying — structural sources of mispricing.

The research checklist

Moats — the durable edge

A moat is a structural reason a business can earn high returns for a long time without competition destroying them. Morningstar's framework identifies five:

• Network effects — more users = more value (Visa, Meta).
• Switching costs — painful to leave (Microsoft, Autodesk, banks).
• Intangible assets — brands, patents, regulatory licenses (LVMH, Moody's).
• Cost advantage — structurally cheaper producer (Costco, GEICO).
• Efficient scale — market so small only a few players fit (railroads, waste pickup).

Management quality

Read the last five years of shareholder letters. Do they admit mistakes? Are they honest about setbacks? Look at insider ownership (>5% is a plus), insider buying (very bullish signal), compensation structure (does it reward shareholder outcomes or just tenure?). A mediocre business run by great capital allocators often beats a great business run by mediocre ones.

Writing the thesis

Write your thesis down in one page before you buy. Why you're buying, what you expect to happen, what would prove you wrong, and when you'd sell. Revisit quarterly. If the thesis breaks, sell — regardless of the stock price. If the stock runs away and the thesis is intact, hold. Writing it down is the single best defense against rationalizing your way into bad decisions.

How many stocks?

Academic work says 20–30 stocks captures 95% of the diversification benefit. Concentrated investors (Buffett, Munger) run 5–10 positions. Index investors own 500+ via one ETF. Retail investors with less than $50k should lean closer to 10–20 positions or pair a single broad ETF with a small active sleeve.

Sector & factor exposure

The S&P 500 has 11 GICS sectors. Overweight one at your own risk — 2000-era tech was 35% of the index, then was down 80% three years later. Watch sector concentration. Also watch factor concentration: if all your picks are "high-growth unprofitable software," you effectively own one bet.

Position sizing

• Equal weight — same dollar amount in each position. Simple, forces discipline.
• Conviction weight — bigger positions in higher-conviction picks.
• Cap-weighted — size by market cap (how most indexes work).
• Kelly-informed — size by edge, with big haircuts for uncertainty.

Cap per-position risk at around 5–10% of equity capital for individual stocks; 15–20% for high-conviction blue chips. Never let a single position grow to 40%+ of the portfolio without conscious choice.

Rebalancing

Over time, winners grow and losers shrink. Rebalancing restores target weights, forcing you to sell high and buy low. Options:

• Calendar-based — rebalance every 6 or 12 months.
• Threshold-based — rebalance when a position drifts ±25% from target.
• Cash flow rebalancing — use new contributions to buy underweight positions (most tax-efficient).

Cash & bonds

Stocks are half the picture. A well-constructed portfolio holds some cash and bonds too:

• Cash — optionality to buy drawdowns. 5–15% is a reasonable baseline.
• Treasuries — uncorrelated to equities in most regimes.
• Corporate bonds — income, moderate correlation.

The classic 60/40 stocks/bonds portfolio is a starting benchmark, not a rule. Age, income stability, and risk tolerance adjust the ratio.

How ETFs work

An ETF is a basket of securities that trades like a single stock. Authorized participants (APs) create and redeem shares in the underlying basket, which keeps price tethered to NAV. This structure is why ETFs are tax-efficient, liquid, and cheap relative to mutual funds.

The core index ETFs every investor should know

Sector, thematic, and factor ETFs

• Sector SPDRs — XLK (tech), XLF (financials), XLE (energy), XLV (healthcare), etc.
• Factor ETFs — MTUM (momentum), QUAL (quality), VLUE (value), USMV (low vol).
• Thematic — clean energy (ICLN), cyber (HACK), robotics (BOTZ), AI (AIQ). Often expensive and trend-chasing — use with skepticism.
• International — regional (EWJ Japan, FXI China), developed (IEFA), emerging (VWO).

Leveraged & inverse ETFs

Picking an ETF

• Expense ratio — lower is always better. Differences compound.
• AUM & liquidity — >$500M AUM and >100k daily volume for most use cases.
• Index methodology — understand exactly what the ETF owns.
• Tax structure — ETFs are generally more tax-efficient than mutual funds.
• Bid-ask spread — less than $0.05 on liquid names; can be much wider on thinly traded ones.

Time horizon as the key variable

Day trading & the PDT rule

In the US, if you make 4+ day trades in 5 business days in a margin account under $25,000, you're flagged as a Pattern Day Trader and restricted. Either maintain > $25k, use cash account (limited by T+1 settlement), or keep under 4 day trades per week. The rule exists for a reason — most sub-$25k day traders lose. Statistical studies suggest <10% of active day traders are profitable over any 12-month period.

Swing trading

The retail sweet spot. Hold 2 days to 2 weeks. Use daily charts for setups, look for catalyst-driven moves, define stops and targets before entry. Doesn't require sitting in front of the screen all day, doesn't hit the PDT rule, and gives trades time to work.

Long-term investing

Buy businesses you'd be happy to hold if the market closed for 5 years. Dollar-cost average into index funds and a few individual convictions. Ignore 90% of news. Rebalance occasionally. The math of compounding — 10% for 30 years turns $100k into $1.7M — rewards patience more than any other discipline.

The hybrid trap

The most common retail failure pattern: start as a long-term investor, a position drops, "I'll just trade around it until it comes back," end up day trading your retirement account. Or the opposite: buy a day trade, it moves against you, "I'll just hold it long-term," end up owning a melting business. Pick a horizon per position at entry. Write it down. Honor it.

Risk management fundamentals

• Cap per-trade risk at 1–2% for active traders, per-position at 5–10% for investors.
• Never use margin you can't afford to lose (and most retail investors shouldn't use margin at all).
• Diversify enough that no single blowup is terminal.
• Keep an emergency fund outside the portfolio so you're never a forced seller.

The major US retail brokers

SIPC & broker safety

US brokerage accounts are protected by SIPC up to $500,000 ($250,000 cash) against broker failure — not against market losses. Many brokers carry additional insurance beyond that. Your securities are held in street name but segregated from the broker's own assets; even if the broker fails, your shares are yours. Historical example: MF Global's 2011 collapse affected mostly futures clients — equity customers recovered in full.

The psychology traps

• Anchoring — fixating on your purchase price rather than current value.
• Loss aversion — holding losers too long, selling winners too quickly.
• Confirmation bias — reading only bullish takes on a stock you own.
• Recency bias — extrapolating the last 6 months forever.
• FOMO — chasing parabolas at the worst possible price.
• Authority bias — buying because Cramer said so.
• Home bias — over-owning your home country's stocks.

The habits that actually compound

• Automate contributions — payroll to brokerage, every month.
• Write a thesis for every meaningful position.
• Keep a decision journal. Review quarterly.
• Read one 10-K a week for a year. It will change how you think.
• Turn off the CNBC. Most news is noise optimized for engagement, not for your portfolio.

Short-term vs. long-term capital gains

• Short-term (held ≤ 1 year) — taxed at ordinary income rates (up to 37% federal).
• Long-term (held > 1 year) — taxed at 0%, 15%, or 20% federal depending on income. Much friendlier.

The holding-period break is a structural incentive to be a long-term investor. On a 10-bagger held 11 months vs. 13 months, the tax difference alone can be 15–25% of the total return.

Dividend taxation

• Qualified dividends — taxed at long-term cap gains rates. Most US C-corp dividends qualify if held 60+ days around the ex-div date.
• Ordinary (non-qualified) dividends — taxed as ordinary income. Includes REIT distributions and MLP distributions.

Tax-advantaged accounts

Priority order for most earners: 401(k) to employer match → HSA → Roth IRA → max 401(k) → taxable. Max the match every year; it's a 50–100% immediate return.

Wash sales

If you sell a stock at a loss and buy a substantially identical security within 30 days (before or after), the loss is disallowed and added to the cost basis of the new position. Applies across accounts (including IRAs, which is brutal — loss disappears permanently). Track carefully if you're tax-loss harvesting.

Tax-loss harvesting

Realize losses to offset gains and up to $3,000/year of ordinary income. Replace with a similar-but-not-identical ETF to stay invested without triggering wash sale. Example: sell VTI at a loss, buy ITOT (same exposure, different index). Done right over decades, adds 0.3–0.8% of annualized after-tax return.

Regulators

• SEC — public company disclosure, securities law.
• FINRA — broker-dealer self-regulatory organization.
• SIPC — insurance on brokerage accounts against broker failure.
• Exchanges — listing and trading rules at NYSE, Nasdaq, etc.

The system isn't perfect, but US equity markets are among the most heavily regulated and most transparent in the world. Public company 10-K disclosures make reading a business genuinely possible.