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Risk Management & Trading Psychology

Edge in markets is roughly 10% strategy and 90% the discipline to execute it. This module covers position sizing, the math of drawdowns, the Kelly criterion, and the cognitive biases that wreck good systems.

1. Risk vs uncertainty

Frank Knight (1921): Risk is when probabilities are known (a coin flip). Uncertainty is when they are not (next quarter's CPI). Markets give you mostly the latter. Your job is not to predict โ€” it's to size positions so you survive the surprise.

2. Position sizing & the 1-2% rule

Risk no more than 1% of account equity per trade (aggressive: 2%). The formula:

Position size = (Account ร— Risk %) รท (Entry โˆ’ Stop)

AccountRisk per trade (1%)EntryStopShares
$50,000$500$120$11050
$100,000$1,000$80$74166
$250,000$2,500$45$42833

3. R-multiples & expectancy

Define R = your dollar risk on the trade. A trade that makes 3ร— your stop = a +3R win. A loss at the stop = โˆ’1R. Expectancy = (Win % ร— Avg win R) โˆ’ (Loss % ร— Avg loss R). A system with 40% wins averaging +3R and 60% losses averaging โˆ’1R has expectancy = (0.40ร—3) โˆ’ (0.60ร—1) = +0.60R per trade. Profitable, even though it loses more often than it wins.

4. The math of drawdowns

DrawdownRequired gain to recover
10%11%
20%25%
33%50%
50%100%
75%300%
90%900%

The relationship is non-linear. Avoiding the deep loss is mathematically more valuable than catching the big winner.

5. Stops that actually work

  • Structural stop โ€” below the most recent swing low / above swing high. Respects price action.
  • ATR stop โ€” entry โˆ’ 2 ร— Average True Range (14). Adapts to volatility.
  • Time stop โ€” exit if price hasn't moved your way within N bars. Frees capital.
  • Mental stop only with strict discipline. For most: place the stop in the broker.

Move the stop only in the direction of the trade. Never widen a losing stop ("hope is not a strategy").

6. Kelly criterion

The optimal fraction of capital to bet on a positive-expectancy opportunity:

f* = (bp โˆ’ q) / b

where b = win-to-loss ratio, p = win probability, q = loss probability (1โˆ’p). Real-world traders use half-Kelly or quarter-Kelly because returns are non-stationary and drawdowns under full Kelly are brutal.

Kelly calculator

7. Diversification & correlation

Diversification only helps if assets don't move together. Two stocks with 0.95 correlation barely diversify each other. Build a portfolio with mixed correlations: U.S. equities (VTI), intl (VXUS), bonds (BND), gold (GLD), cash (SGOV). In a 2008-style event correlations spike toward 1 โ€” only cash and Treasuries truly held up.

8. The 7 destructive biases

  1. Loss aversion โ€” pain of $1 lost โ‰ˆ pleasure of $2 gained. Causes early profit-taking + held losers.
  2. Confirmation bias โ€” seeking only news that supports your position.
  3. Anchoring โ€” fixating on purchase price ("I'll sell when it gets back to $X").
  4. Recency bias โ€” extrapolating the last 6 months indefinitely.
  5. Overconfidence โ€” after a winning streak, sizing up to ruin.
  6. Herd / FOMO โ€” chasing what's already up.
  7. Sunk-cost fallacy โ€” averaging down on a thesis that has already broken.

9. Trading journal โ€” the unfair advantage

Log every trade with: date, ticker, thesis (1 sentence), entry, stop, target, position size, R risked, screenshot. After exit add: actual exit, R result, mistakes, lessons. Review monthly. Within 100 trades you'll see your own pattern โ€” and that pattern is where your real edge (or hole) lives.

10. Pre-mortem & post-mortem rituals

  • Pre-mortem (before entering): "It is 6 months from now and this trade was a disaster. What happened?" Write 3 plausible answers; let them shape your stop.
  • Post-mortem (after every trade): execute even on winners. Wins from bad process eventually feed losses.
  • Quarterly review: did I follow my IPS? What rules did I break? What will I add to the journal next quarter?
"You don't have to be smarter than the rest. You have to be more disciplined than the rest." โ€” Warren Buffett