Module 0 · Learn Trading
Risk & Position Sizing
The math of survival, before a single chart.
Every trading education should start here, and almost none do. Charts are more photogenic. But the traders who last aren't the ones who read charts best; they're the ones who can be wrong many times in a row and still be solvent. That is a math property, not a personality trait, and you can install it before your first trade.
The asymmetry that ends accounts
Losses and gains are not symmetric. Lose 10% and you need about 11% to get back to even. Lose 25% and you need 33%. Lose 50% and you need 100%, a double, just to be back where you started. Lose 90% and you need a tenfold run. The hole deepens faster than the ladder grows:
This is why deep drawdowns are the one mistake the market rarely lets you repay. Everything else in trading education is negotiable. This table is not.
The fixed-percentage rule
The standard defense is boring and effective: risk only a small, fixed percentage of your account on any single trade. Many professionals use about 1%. At 1% risk per trade, a brutal streak of ten straight losses leaves roughly 90% of your account intact, an annoyance instead of an ending. The same streak at 10% risk per trade destroys almost two thirds of the account, and the asymmetry table above takes over from there.
Notice what the rule really buys you: the freedom to be wrong often. Every trading method on this site's later modules produces losing trades regularly. The fixed-percentage rule is what makes those losses tuition instead of catastrophe.
Sizing off the stop
Here is the calculation that separates traders from gamblers, worked with the same numbers the ebook uses. Say the account is $10,000 and the rule is 1% risk, so $100 may be lost on this trade. You want to buy a stock at $50, and your analysis says the idea is wrong if price falls to $48. That stop distance is $2 per share. Divide the dollar risk by the risk per share: $100 ÷ $2 = 50 shares. The position is worth $2,500, but only $100 of it is at risk if you honor the stop.
Read what the formula just did. A tight stop lets you buy more shares; a wide stop forces you to buy fewer. The market sets the stop distance through your analysis; you only solve for size. Shorting flips the subtraction and nothing else. The same math sizes a Bitcoin position, a futures contract, an options trade. One habit, every market.
Leverage multiplies both columns
Leverage, borrowed exposure through margin, futures, or perpetuals, multiplies gains and losses by the same factor, and the asymmetry table does not care which direction got multiplied. At 10x leverage, a 10% move against you is the whole stake. None of this makes leverage evil; it makes leverage a power tool, and power tools come later, after the guards are installed. Module 6 covers them honestly.
Think in R
Once every trade risks one fixed unit, call it R, results become comparable. A trade that made twice what it risked is a 2R win; a full stop-out is a 1R loss. Ten trades that net +4R is a good stretch even if six of them lost, and that reframe, from "was I right?" to "did the process pay?", is quietly the beginning of professional thinking.
Where the ebook goes deeper
This module is the concept. Part I of The Complete Trader is the installation: the survival math with worked examples across stocks, Bitcoin, and leveraged markets, the habits that keep one bad day from becoming the whole story, and the sizing discipline every later chapter builds on.
Questions, answered straight
How much should a beginner risk per trade?+
A common professional convention is a fixed small fraction of the account per trade, often around 1%. The exact number matters less than the discipline: pick a small percentage, size every position from it, and never make an exception mid-trade. Nothing here is personal advice; it's the standard arithmetic of survival.
What if I trade without a stop-loss?+
Then your risk per trade is your entire position, and your position sizing has no math behind it. A stop can be a hard order or a written mental line, but it has to exist before entry, because it is the number your position size is calculated from.
Why do traders count in R instead of dollars?+
R is the amount you risked on the trade. Counting wins and losses in R (a 2R win, a 1R loss) makes results comparable across trades and account sizes, and it keeps the focus on process quality instead of dollar noise.