Risk & money management

Risk Management & Reward-to-Risk

Position sizing · Stops · Expectancy — ~10 min read

Ask any experienced trader what separates those who last from those who blow up, and the answer is rarely "better entries." It is risk management. You can be wrong about direction far more often than you are right and still grow your account — if your winners are larger than your losers and you never let a single trade do catastrophic damage. This guide covers the essentials: defining risk per trade, sizing positions, placing stops, and using reward-to-risk to build a positive edge.

Rule one: define your risk before you enter

Every price-action trade should have a stop — a price at which you admit the idea was wrong and exit — chosen before you enter. In the Al Brooks approach the stop usually sits one tick beyond the signal bar. The distance from your entry to your stop is your risk per share (or per contract). Without a predefined stop you are not managing risk; you are hoping, and hope is not a strategy.

Rule two: risk a small, fixed fraction of your account

A widely used guideline is to risk only a small percentage of your trading capital on any single trade — commonly cited figures are around 1% to 2%. The exact number is yours to set based on your tolerance, but the principle is universal: no one trade should be able to seriously hurt you. This is what keeps a normal losing streak from becoming an account-ending event.

Position size = (Account × Risk%) ÷ (Risk per share)

Example: $25,000 account · 1% risk = $250 max loss
Entry $50.00, stop $49.50 → risk per share = $0.50
Shares = $250 ÷ $0.50 = 500 shares

Notice what this does: the size of the position adjusts to the distance of the stop. A tight stop lets you trade more shares for the same dollar risk; a wide stop forces fewer. Your dollar risk stays constant regardless of the setup, which is exactly what you want.

Rule three: demand favorable reward-to-risk

Reward-to-risk compares how much you stand to gain to how much you are risking. If your stop is $0.50 away and your target is $1.00 away, that is a 2:1 reward-to-risk. This single ratio interacts with your win rate to determine whether you make money over time — a relationship called expectancy.

Expectancy = (Win% × Avg win) − (Loss% × Avg loss)

The two levers work together. A trend trader can succeed with a modest win rate if the winners are several times the losers. A scalper needs a higher win rate because the targets are smaller, which is why scalp setups typically insist on at least 2:1 to compensate for noise and costs. Either way, taking trades with poor reward-to-risk — risking a dollar to make thirty cents — is a slow path to ruin even with a good win rate.

Reframe a losing trade: Hitting your stop is not a failure — it is the system working. The failure is not having a stop, moving it further away, or sizing so large that the loss rattles you into abandoning your plan.

Rule four: protect against yourself

Good risk management is not only per-trade; it is per-day and per-streak. Sensible guardrails include:

TradingRight builds these into a Risk Guard that can force a stop once you hit your daily loss or profit limit, a losing streak, or a trade count — plus per-symbol stop, take-profit and reward-to-risk checks, with a warning before you place a trade that breaks your own rules. Automating these limits removes the in-the-moment emotion that causes most blow-ups.

The bottom line

Entries get all the attention, but risk management is what compounds an edge into a track record. Define your risk before every trade, size so no single loss matters much, insist on reward-to-risk that makes your win rate profitable, and cap your daily damage. Do those four things consistently and you give your price-action skills the time they need to pay off. Pressure-test it all with replay and paper trading before risking real capital.

Let the Risk Guard enforce your limits

Set per-trade and per-day caps in TradingRight and get a warning before you break your own rules.

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