Money Management AdvancedChapter 10

Risk Management and Money Management

Risk management and money management are the discipline of controlling position sizes, setting stop-losses, and managing the risk/reward ratio of each trade. They are widely considered more important than entry signals for long-term trading success.

Last updated: 29 July 2026

Prerequisites

Prerequisites

This sheet is the operational synthesis of the whole technical analysis track. It requires a command of everything before it: trends (ch. 2), support and resistance, chart patterns (ch. 3), moving averages (ch. 5), oscillators (ch. 7), volume (ch. 8) and Fibonacci (ch. 6). Money management is what turns that analytical knowledge into a disciplined trading system.

Definition

Definition

Murphy defines money management in chapter 16 (1999 edition, "Money Management and Trading Tactics") as the set of rules governing position size, stop-loss placement and the management of the risk/reward ratio. He draws a clear line between analysis (identifying opportunities) and money management (surviving long enough to profit from them).

Money management rests on one fundamental principle: preserving capital takes priority over maximising gains. Murphy cites the following arithmetic: a trader who loses 50% of his capital needs a 100% gain to get back to break-even — which illustrates the mathematical asymmetry of losses. Risk management is not optional; it is the condition of survival.

Larry Williams, winner of the Robbins World Cup Trading Championship in 1987 (turning $10,000 into $1.1 million in twelve months), attributes — by his own account — 90% of his success to money management and only 10% to trade selection.

Why it matters

Murphy devotes a full chapter to money management because he regards it as the deciding factor between a trader who survives and one who disappears. Academic studies agree: more than 80% of private traders lose money, and the main cause is not poor analysis but poor money management — positions too large, no stop-loss, averaging down into losing positions.

Murphy illustrates it this way. Two traders use the same signal system. The first risks 10% of capital per trade, the second 2%. After a run of five consecutive losses — which happens statistically to every trader — the first has lost 41% of his capital (0.9^5), the second only 9.6% (0.98^5). The first is in danger both financially and psychologically; the second can carry on calmly.

Key points

Murphy sets a hierarchy of priorities: (1) risk management (protect the capital), (2) trend identification (context), (3) entry timing (the signal), (4) profit taking (the exit). Most private traders invert this order, concentrating on the entry signal and neglecting risk

The position-sizing formula under the 1-2% rule: number of units = (capital × % risk) / (entry price − stop price). Example: $50,000 capital, 2% risk = $1,000, a stock at $100 with a stop at $95 → size = 1,000 / 5 = 200 shares. The formula guarantees that the maximum loss if stopped out is exactly $1,000

The portfolio-wide risk limit is Alexander Elder's rule, not Murphy's: a maximum of 2% risk per trade and 6% total risk — open positions and the month's losses included (his "iron triangle", Come Into My Trading Room, 2002). If you hold three open positions each risking 2%, your total risk is 6%: open nothing further. Murphy's own guardrails in chapter 16 are expressed as allocation — never more than 50% of capital invested in total, 10-15% maximum per market, and no more than 5% risk per position

The trailing stop is Murphy's preferred exit tool. His method: place the initial stop below the last significant low (in an uptrend) or above the last high (in a downtrend), then raise it at each new rising low. You stay in the position for as long as the trend structure is intact

The asymmetry of losses is the most counter-intuitive concept in trading: a 10% loss requires an 11.1% gain to recover. A 20% loss requires 25%. A 50% loss requires 100%. That mathematical non-linearity is why protecting capital is the absolute priority

Concrete example

Examples

A trader with $100,000 of capital identifies a buy signal on the S&P 500 at 5,000, from a bounce off the MA200 confirmed by a hammer and a bullish RSI divergence. His analysis places the stop beneath the last low at 4,900 (risk = 100 points, 2% of the index level). His objective is resistance at 5,300 (target gain = 300 points). R:R = 1:3 ✓. Position calculation: permitted risk = 100,000 × 1% = $1,000. Each point is worth $50 on the E-mini S&P 500 contract (ES) → risk = 100 × 50 = $5,000 per contract, or 5% of capital: far more than permitted, and a futures contract cannot be split. Money management then forces a choice — pass on the trade, or take it on the Micro E-mini (MES, $5 per point) → size = 1,000 / (100 × 5) = 2 micro contracts. The trader places his stop at 4,900, his objective at 5,300, and trails the stop beneath each new rising low. If the trade reaches its objective the gain is 300 × $5 × 2 = $3,000 (3% of capital). If stopped out, the loss is capped at 100 × $5 × 2 = $1,000 (1% of capital, at the ceiling). The R:R stays 1:3 in both cases: it is the position size that adjusts to the permitted risk, never the other way round.

Common mistakes

Caution

Trading without a stop-loss. Murphy is categorical: a trade without a stop is a lottery ticket, not an investment. Every position needs an invalidation point defined before entry

Averaging down into a losing position. Adding to a loser increases risk at the exact moment the market is telling you that you are wrong. Murphy sees a form of arrogance in it: insisting to the market that it is mistaken

Risking too much per trade (>5% of capital). Even the best trading system in the world produces losing streaks. At 5% risk per trade, six consecutive losses cut capital by 26%. At 2%, the same run costs only 11.4%

Moving the stop to "give the trade more room". If the stop is hit, the trade is invalidated. Moving it is the financial equivalent of denial — refusing a manageable loss in order to risk a catastrophic one

Practical note

Murphy

Murphy recommends always working out the worst case before entering. His checklist: (1) where is my stop? (2) how much do I lose if it is hit? (3) is that loss acceptable — 2% of capital or less? (4) what is my realistic objective? (5) does the R:R reach the recommended 1:3? If a single answer is unsatisfactory, he does not take the position, whatever the technical signal says: when the risk conditions are not met, the best trade is the one you do not take.

Further reading

Progression

Money management applies to every signal studied in the preceding sheets: support and resistance for stop placement, Fibonacci for objectives and invalidation levels, volume for breakout confirmation. Intermarket analysis (ch. 9) helps assess overall systemic risk before taking positions at all.

📊 Money Management — Ratio Risque/Récompense

PrixTempsEntréeStopRISQUE (1R)ObjectifGAIN (2R)EntréeR:R 1:2 — Rentable à 34% réussiteMurphy (ch. 16) recommande 1:3 — le minimum 1:2 est un usage de la profession

Market impact

Markets

Money management is the discipline practised by every hedge fund and professional trading desk. Quantitative funds such as Renaissance Technologies, Two Sigma and D.E. Shaw devote more resources to optimising position size than to selecting signals. The Kelly criterion was applied by Ed Thorp at Princeton Newport Partners; Thorp and Mohnish Pabrai read Warren Buffett's concentrated bets through the same lens, even though Berkshire Hathaway does not apply it formally. On the regulatory side, ESMA caps retail leverage and requires positions to be closed when margin falls to 50% of the required minimum (margin close-out); maximum-drawdown rules, by contrast, belong to the proprietary trading firms and their challenges. The great majority of candidates for those challenges fail — figures of 90-95% are commonly quoted — most often for breaching risk rules (daily loss limit, maximum drawdown) rather than for the quality of their analysis alone.

Reference