Alpha Breakout Lab

Trading Terms Glossary

Plain-English definitions for strategy traders — each paired with the real lesson behind it. Grouped by theme so it reads like a teaching tool, not a dictionary.

New here? Start at the top — the first two sections cover the words every trader needs before anything else. Each entry has a plain definition, and many add a Trader's Insight — the earned lesson that tells you why it actually matters.
Start Here — The Basics
Market Order
Plain: An order to buy or sell immediately at the best price currently available.
Why it matters: It fills fast, but you take whatever price the market gives you — which can be worse than you expected on a fast-moving or thinly-traded stock. Speed over price control.
Limit Order
Plain: An order to buy or sell only at a specific price or better.
Why it matters: You control the price, but the trade only happens if the market reaches your limit — so it might never fill. Price control over speed. The opposite trade-off from a market order.
Execution
Plain: The moment your order is actually filled — when the buy or sell truly happens.
Why it matters: The price you see when you click isn't guaranteed; execution is the price you actually got. The gap between the two is slippage, and it's a real cost on every trade.
Market Cap (Market Capitalization)
Plain: The total value of a company's shares — share price multiplied by the number of shares outstanding.
Why it matters: It tells you the size of the company. Large-caps tend to be steadier; small-caps move faster and wilder. Size shapes how a stock behaves.
P/E Ratio (Price-to-Earnings)
Plain: A stock's price divided by its earnings per share — how much you pay for each dollar of profit.
Why it matters: A rough gauge of how cheap or expensive a stock is relative to its earnings. High P/E means the market expects growth; low P/E can mean a bargain — or a company in trouble. Context matters.
Dividend
Plain: A cash payment some companies make to shareholders, usually every quarter, out of their profits.
Why it matters: It's income you earn just for holding the stock, on top of any price gains. Steady, established companies pay them; fast-growing ones usually reinvest instead.
Free Float
Plain: The number of a company's shares actually available for the public to trade — excluding shares locked up by insiders or the company.
Why it matters: A small float means fewer shares changing hands, so the price can swing violently on normal volume. Low-float stocks are a favorite of momentum traders for exactly that reason — and a trap for the unprepared.
Support & Resistance
Plain: Price levels where a stock has repeatedly stopped falling (support) or stopped rising (resistance).
Why it matters: These are the floors and ceilings traders watch. Price often bounces off support or stalls at resistance — and when it breaks through, that move can be significant (see: breakout).
Trading Styles & Risk
Day Trading
Plain: Buying and selling a stock within the same day, closing all positions before the market closes.
Why it matters: No overnight risk, but it demands constant attention and fast decisions — and most day traders lose money. It's the hardest style to do well, not the easiest.
Swing Trading
Plain: Holding a stock for several days to a few weeks to capture a larger price move.
Why it matters: Less frantic than day trading and doesn't require watching every tick, but you carry overnight and weekend risk — news can gap the price against you while you sleep.
PDT Rule (Pattern Day Trader) — now retired
Plain: An old U.S. rule (2001–2026) that flagged any margin account making 4+ day trades in 5 business days as a "pattern day trader," then required a $25,000 minimum balance to keep day trading. It was eliminated on June 4, 2026.
Why it still matters: You'll see the old rule referenced everywhere — most trading content was written while it was in force — so know what it was. Under it, you got 3 day trades per rolling 5 business days; the 4th tripped the flag. That's gone now. In its place, FINRA uses a risk-based intraday margin system: no trade-counting, no $25,000 floor. A standard margin account still needs the pre-existing $2,000 minimum, and if you can't cover your intraday positions, your account can be restricted for up to 90 days. Bottom line: the $25K wall is gone, but margin discipline still applies.
Breakout
Plain: When a stock's price pushes through a resistance level (or below support) with force, often starting a new move.
Why it matters: Breakouts are a core setup — the whole idea behind this site. The catch: not every breakout holds. False breakouts (fakeouts) trap traders who chase, which is why confirmation and risk management matter.
Stop Loss
Plain: An order that automatically sells your position if the price falls to a set level, capping your loss.
Why it matters: It's the single most important discipline tool a trader has. It takes the emotion out of cutting a loser and protects you from a small mistake becoming an account-ending one. Set it before you enter, not after you're down.
Leverage
Plain: Using borrowed money to control a larger position than your own cash alone would allow.
Why it matters: It multiplies gains — and losses — equally. Leverage is why traders blow up accounts: a move that would've been a small loss becomes catastrophic when it's amplified. Powerful and dangerous in the same breath.
Margin
Plain: Money borrowed from your broker to buy more stock than your cash covers.
Why it matters: Margin is how you get leverage. It lets you buy more, but you're now trading with borrowed money that has to be paid back — and the broker charges interest and can force you to sell (see: margin call).
Margin Call
Plain: A demand from your broker to add cash or sell positions when your account value drops too low to cover your borrowed money.
Why it matters: This is the nightmare scenario of trading on margin. If you can't meet it, the broker sells your positions for you — often at the worst possible moment, locking in losses at the bottom. The reason many pros avoid heavy margin entirely.
Bag Holder
Plain: A trader stuck holding a stock that has fallen far below what they paid, hoping it comes back.
Why it matters: Nobody plans to become one — you get there by refusing to take a small loss, then watching it grow. It's the human cost of not using a stop loss. "If you start hoping, you've already messed up."
Risk Management
Plain: The practice of controlling how much you can lose on any trade — through position sizing, stop losses, and not over-betting.
Why it matters: This is what separates traders who last from traders who blow up. You can't control whether a trade wins, but you can always control how much it costs you when it loses. Survival first, profit second.
Performance Metrics — reading your results
Profit Factor
Plain: Gross profit divided by gross loss — how many dollars you make for every dollar you lose.
Why it matters: Above 1.0 means profitable; above 1.3 is respectable; above 1.5 is strong. It's the metric that matters most because it survives real trading costs — a strategy can show a big total return and still have a weak profit factor once losses are counted properly.
Win Rate
Plain: The percentage of your trades that end profitably.
Why it matters: A high win rate is NOT the same as a profitable strategy. A trend-following system can win only ~40% of the time and still make money — if the winners are much bigger than the losers. Don't judge a strategy on win rate alone; judge it alongside the win/loss ratio.
Average Win / Average Loss Ratio
Plain: The size of your typical winning trade compared to your typical losing trade.
Why it matters: This ratio is often where the real edge lives. If your winners average 2–3× your losers, you can lose more often than you win and still come out ahead. Cutting losers fast and letting winners run is how you build this ratio.
Expectancy
Plain: The average amount you can expect to make (or lose) per trade.
Why it matters: It combines win rate and win/loss size into one number. Positive expectancy means the strategy makes money over many trades; negative means it bleeds, no matter how good individual trades feel.
Maximum Drawdown
Plain: The largest peak-to-trough drop in your account before it recovered.
Why it matters: This is the number that blows up real accounts — not because the math fails, but because a 50%+ drawdown is emotionally brutal to sit through, and most people panic-sell at the bottom. A strategy you can't stomach isn't a good strategy for you, no matter the return.
Strategy Concepts — how the system works
Moving Average (MA)
Plain: The average price of a stock over a set number of recent periods, updated each period.
Why it matters: It smooths out noise to show the underlying trend. A "fast" MA (few periods) reacts quickly; a "slow" MA (many periods) reacts slowly. The interplay between them is the basis of crossover strategies.
MA Crossover
Plain: When a faster moving average crosses above or below a slower one, used as a buy or sell signal.
Why it matters: Cross up = potential entry; cross down = potential exit. It works best in trending markets and struggles in choppy, sideways ones — where it gets repeatedly faked out (see: whipsaw).
Trailing Stop
Plain: A sell order that follows the price up, locking in gains by exiting if price falls a set amount from its peak.
Why it matters: It's how you "let winners run but cut losers." A tight trailing stop protects gains but can clip a winner early on normal noise; a loose one gives room but risks giving back more. The right width depends on the stock's volatility.
ATR (Average True Range)
Plain: A measure of how much a stock typically moves in a given period — its volatility.
Why it matters: Useful for setting stops and position sizes that adapt to each stock. A volatile name needs a wider stop (or smaller position) than a calm one; using the same fixed percentage for both gets the volatile one stopped out on noise.
Position Sizing
Plain: How many shares to buy on a given trade.
Why it matters: Sizing each trade so it risks the same dollar amount (not the same share count) is one of the highest-value habits in trading. It keeps any single trade from dominating your results and smooths the ride dramatically.
Execution Reality — why backtests lie
Slippage
Plain: The difference between the price you expected and the price you actually got.
Why it matters: It exists on every trade, even one share, because price moves in the instant between decision and fill. Backtests that ignore it look far better than reality — slippage is a big part of why a great-looking backtest can lose money live.
Friction (Trading Costs)
Plain: The total real-world cost of trading — spread, slippage, and commissions combined.
Why it matters: Frictionless backtest results are fantasy. The more often a strategy trades, the more friction eats. A strategy that looks profitable on paper must be re-tested with realistic costs before you trust it — sometimes the edge survives, sometimes it vanishes.
Bid-Ask Spread
Plain: The gap between the highest price buyers will pay and the lowest price sellers will accept.
Why it matters: You cross this gap on every entry and exit, so it's a cost you pay whether you notice it or not. It's wider on thinly-traded stocks, which is why liquidity matters.
Liquidity / Volume
Plain: How easily you can buy or sell a stock without moving its price.
Why it matters: High-volume stocks absorb your order quietly; low-volume ones can move against you when you trade size. A strategy that works on tiny positions can fall apart when you try to deploy real money, because your own orders start affecting the price.
Discipline & Testing — telling real edges from luck
Backtesting
Plain: Testing a strategy on historical price data to see how it would have performed.
Why it matters: Essential, but dangerous if trusted blindly. Historical results don't guarantee future results, and it's easy to fool yourself — which is why the terms below matter.
Out-of-Sample Testing
Plain: Checking a strategy on data it wasn't developed or tuned on.
Why it matters: The single best defense against fooling yourself. If a strategy shines on the data you built it with but falls apart on data it's never seen, the "edge" was just a fit to the past. A real edge survives on unseen data.
Curve-Fitting (Overfitting)
Plain: Tuning a strategy so tightly to past data that it captures noise instead of a real pattern.
Why it matters: The classic trap. Add enough rules and settings and any backtest looks perfect — on that specific history. It then fails live, because the noise it was fit to never repeats. Simpler strategies with fewer knobs are harder to overfit.
Whipsaw
Plain: When price rapidly reverses direction, triggering a buy then a sell (or vice versa) at a loss.
Why it matters: The main enemy of crossover strategies. In choppy, sideways markets, the price crosses back and forth over the moving averages, generating repeated small losing trades. It's why these strategies do best in clean trends and worst in ranges.
Regime (Market Regime)
Plain: The overall character of the market at a given time — trending, choppy, volatile, calm.
Why it matters: A strategy that works in one regime often fails in another. Knowing which regime you're in tells you whether your strategy should be expected to work right now — and whether a rough patch is a broken strategy or just the wrong environment.
Want to see these concepts in action? Try the strategy simulator — run a moving-average crossover and watch profit factor, drawdown, and whipsaw play out on real price data.