Tutorial — Beginner to Advanced¶

Five levels. Critically, includes the full-time worker plan at Level 2 — that's the realistic path for most readers.

Level 1 — Foundations: open an account, learn the mechanics¶

Goal: be able to navigate a brokerage, place a limit order, read a chart.

Steps¶

Open a brokerage account at Fidelity, Schwab, or Interactive Brokers. Cash account first; you don't need margin yet.
Fund with \(1,000–\)5,000. This is tuition money. Assume you might lose it. If losing it would change your life, the amount is too high.
Buy one share each of three companies you actually understand (your employer if public, a company whose products you use, an index ETF). The point is mechanics, not selection.
Place a limit order, a market order, and a stop-loss order. Watch them fill.
Read your account statement. Understand: cost basis, unrealized P&L, realized P&L, dividends, fees.

Read these (Level 1 reading)¶

The Intelligent Investor (Graham) — read chapters 8 (Mr. Market) and 20 (Margin of Safety) at minimum. The rest is context.
A Random Walk Down Wall Street (Malkiel) — the case for indexing. Read it to understand what you're betting against if you actively trade.
The Bogleheads' Guide to Investing — the boring path that beats almost everyone. Required context even if you'll deviate.

After Level 1, most readers should stop here. Buy total-market index funds (VTI, VXUS for international, BND for bonds), set a contribution schedule, and ignore the market for 30 years. Compound returns and tax efficiency win.

Level 2 — The full-time worker plan¶

Goal: participate in markets in a way compatible with a 40+ hour/week job, without your portfolio becoming your second job.

Honest framing¶

Day trading is a poor fit for full-time workers. You can't watch the market 9:30–4:00 ET, and the strategies that pay are time-intensive and demanding. Don't try to bend a square peg into a round hole.
Swing trading and position trading are reasonable. Holding periods of days to months. You analyze evenings/weekends; you place orders that don't require live management.
Systematic / mechanical investing is best. Rules-based strategies you execute on a schedule, automated where possible.

The recommended core (boring but works)¶

This is what 80% of your investable money should look like, regardless of trading interest:

Max your tax-advantaged accounts first. 401(k) up to the employer match (free money), then Roth IRA contribution limit (income limits apply), then back to 401(k) up to the annual limit. HSA if eligible.
Auto-invest in low-cost index funds. A 3-fund portfolio is sufficient for most:
60–80% US total market (VTI / FZROX / SCHB)
10–30% international (VXUS / FZILX / SCHF)
0–30% bonds (BND / SCHZ; weight increases with age and proximity to need)
Rebalance quarterly or annually. A 5%-band rule (rebalance when any asset drifts >5% from target) is fine.
Don't touch this. The S&P 500 has had 50%+ drawdowns. The plan is to ride them out. People who panic-sell at the bottom are why long-term passive investing has good returns for the disciplined.

This consumes ~1 hour per quarter. It is not exciting. Excitement is the enemy of long-term return.

The "active" satellite (optional, ≤20% of investable money)¶

If you genuinely want to learn active trading, allocate a deliberately small "satellite" account. Treat it as an education expense.

Weekly rhythm for a full-time worker¶

Sunday evening (1–2 hours): review the past week's trades. Update your trading journal. Run your screen. Build a watchlist of 5–15 candidates for the coming week.
Mon–Fri morning (15 min before work): check pre-market on watchlist names. Adjust GTC limit orders if your levels changed.
Lunch break (5 min): glance at positions. Don't trade impulsively.
After-hours (15–30 min): read end-of-day commentary. Note what worked or didn't.
Saturday morning (1–2 hours): weekly review. Are your trades following the system, or is emotion creeping in?

That's ~5 hours/week. If you can't allocate that consistently, your active satellite should be smaller or non-existent.

Style choices that fit this rhythm¶

Swing trading on the daily timeframe. Hold for 3–15 trading days. Identify setups on the daily chart; place limit entries with stop-loss and take-profit; let the market work for you.
Trend following. Mechanical entry/exit rules based on moving averages or breakout systems. Studied by Andreas Clenow ("Following the Trend"); fits a working schedule perfectly.
Long-term momentum. Buy what's been outperforming over the past 3–12 months; rebalance monthly. Studied extensively (Jegadeesh & Titman 1993; Asness, Moskowitz, Pedersen 2013).
Dividend / quality investing. Slower, simpler, well-researched.

Style choices that DON'T fit¶

Scalping (seconds to minutes).
News-driven day trading (you're at work when news breaks).
Options strategies that require active management (gamma scalping, complex spreads).
Anything you have to babysit. If you can't be away from your desk, the strategy is unsuitable.

Level 3 — Technical and fundamental analysis (real version)¶

Goal: evaluate a trade idea on its merits, not on hype.

Technical analysis (TA)¶

The honest version: TA is a language for describing price behavior, and some patterns have weak statistical edges. The cult-of-TA version (where every chart has hidden meaning) is mostly nonsense.

What's worth knowing: - Trend identification: higher highs + higher lows = uptrend; opposite = downtrend; neither = chop. The simplest test that beats most retail traders. - Support/resistance: price levels where buyers/sellers have repeatedly stepped in. Useful for placement (entries, stops, targets), not as standalone signals. - Moving averages: 20/50/200-day SMA. Used in countless mechanical systems (Golden Cross, Donchian breakouts, etc.). - Volume: a breakout on heavy volume is more credible than on light volume. - Relative strength: a stock outperforming its sector outperforming the index is in confirmed strength. Cross-comparing matters more than absolute levels.

Skip these (no documented edge): MACD divergences, Elliott Waves, Fibonacci retracement predictions (lines as markers are fine), most candlestick "patterns" beyond context.

Fundamental analysis (FA)¶

For longer holds, you're buying a piece of a business. Worth understanding:

Income statement — revenue, gross margin, operating margin, net income.
Balance sheet — assets vs. liabilities; cash; debt; book value.
Cash flow statement — operating cash flow vs. net income (red flag if they diverge persistently).
Key ratios — P/E, P/B, P/S, EV/EBITDA, ROE, ROIC, debt-to-equity, free cash flow yield.
Growth rates and trends — 3-year and 5-year revenue/EPS growth.
Quality — earnings stability, return on invested capital trend.

Sources: company 10-Ks (the annual report) on SEC EDGAR (free, authoritative). Earnings call transcripts. Investor day presentations. Don't outsource your reading to one analyst's summary; read the source.

Level 4 — Systematic strategies and backtesting¶

Goal: build, test, and run rules-based strategies.

Why systematic¶

Removes emotional decisions in the moment.
Lets you measure expectation in advance instead of guessing.
Makes losses expected events you've already planned for, not surprises.

Anatomy of a strategy¶

Universe — what stocks/ETFs are eligible (e.g. S&P 500, Russell 2000, ETFs only).
Filter / signal — what makes a name a candidate (e.g. "20-day breakout AND above 200-day MA").
Entry rule — when and how to buy (e.g. open of next session, limit at signal price).
Position sizing — how much per trade (e.g. risk 0.5% per trade, max 20 positions).
Exit rules — stop, target, time-based exit (e.g. trailing 10-day low; or 6-month max hold).
Portfolio constraints — max sector concentration, max total exposure, leverage cap.

A strategy without all six of these is not a strategy; it's an idea.

Backtesting¶

Tools, ranked by accessibility: - Portfolio Visualizer (portfoliovisualizer.com) — free; great for testing asset allocations and simple factor strategies. - TradingView Pine Script — easy charting backtests; limited universe scanning. - QuantConnect — Python-based, free tier, equities/futures/crypto. Steeper but real. - Zipline (open source) — local Python, less maintained but works. - Custom Python with pandas + yfinance — quick & dirty; do this once to truly understand.

Backtest pitfalls (will bite you)¶

Look-ahead bias — using data not available at the trade time (e.g., today's close to make today's open trade).
Survivorship bias — backtesting on the current S&P 500 ignores companies that went to zero. Use a point-in-time index.
Overfitting — tuning parameters to historical noise. Test on out-of-sample data; if you tested 100 parameter combinations, the best one is probably overfit.
Transaction costs — include realistic spread + commission + slippage. A strategy that turns over weekly looks great gross and terrible net.
Tax drag — short-term gains are taxed as ordinary income (US). A strategy that's only profitable pre-tax may be a loss after taxes.

Walk-forward and live deployment¶

After a backtest, paper-trade for 1–3 months to confirm the live behavior matches simulation. Many strategies that backtest well break in live data due to fills, slippage, or market regime change.
Then live-trade with minimum size for another 3–6 months.
Only scale to real allocation if both above pass.

Level 5 — Day trading (the actual hard mode)¶

Goal: if and only if you've reached this level and you can quit your day job, this is what serious day trading looks like.

Realistic prerequisites¶

\(50k–\)100k+ trading capital you can afford to lose.
6–12 months living expenses in a separate account.
Acceptance that the first 1–2 years are tuition.
A spouse/support system that understands month-to-month income variability.
A real edge — not vibes. A documented, backtested system or a verifiable mentor's playbook.

Common day-trading styles¶

Opening range breakout (ORB) — trade breakouts of the first 5/15/30 minutes' high/low. Mechanical-ish; well-studied.
VWAP fade / hold — Volume-Weighted Average Price as a magnet; trade reversion to or rejection from it.
News momentum — pre-market gappers on news; trade the continuation or fade.
Liquidity provision / scalping — extract spread from illiquid names. Hard, capital-intensive, mostly dominated by HFTs.

Infrastructure¶

Direct-market-access broker (DAS Trader, IBKR TWS, Lightspeed) — not Robinhood.
Hotkeys for entry/exit. You will not survive on click-through.
Multi-monitor setup, news terminal, charts, scanner, level 2.
A mentor or paid education program that has demonstrated profitability — not by their marketing, but by verified track records. Many "trading educators" make their money from courses, not trading.

Risk discipline¶

Daily loss limit (e.g., -2% of account). Hit it, you're done for the day. No exceptions.
Per-trade risk ≤ 0.5% of account.
Max 3 losing trades in a row → step away for an hour minimum.
Journal every trade. Date, ticker, setup, entry, stop, exit, P&L, what you saw, how you felt. Review weekly.

Why most fail¶

Undercapitalized (PDT rules force overconcentration).
Treat trading as gambling — chase, revenge trade, double down on losers.
No system; trade vibes and screenshots from Twitter.
Underestimate the toll of staring at PnL all day.
Don't account for taxes (short-term gains hit hard).
Quit too early or scale too late — both kill long-run probability.

What "advanced" means¶

You have a documented edge. You can describe in one sentence what statistical pattern you're exploiting. You execute it for a year and your real returns track your expected returns within reasonable noise. You know your risk-adjusted returns (Sharpe, Sortino, Calmar) and they're positive after fees and taxes. And you didn't blow up.

That's a tiny minority of people who try.