Risk Management Guide

A step-by-step risk management guide for traders: position sizing formulas, stop loss placement using ATR and structure, daily loss limits, and how Hanzo AI tools enforce discipline.

The Foundation: Risk Per Trade

Risk per trade is the single most important variable in long-term trading survival. The standard framework: risk 0.5–1% of account equity per trade. At 1% risk with a 40% win rate and 2:1 RR, your account grows. At 3% risk with the same stats, a 10-loss streak destroys 26% of your account.

Position Sizing Formula

Lot size = (Account × Risk%) ÷ (Stop Distance in Pips × Pip Value). Example: $10,000 account × 1% risk = $100 at risk. If your stop is 20 pips on EURUSD (pip value $10/lot), maximum lot size = $100 ÷ ($10 × 20) = 0.5 lots. The Phantom Desk Pre-Trade Validator calculates this automatically before each simulated trade.

Stop Loss Placement

Structural stops: place below the nearest demand zone or above the nearest supply zone — not at a round number or arbitrary pip distance. ATR-based stops: use 1.5–2× the pair's average true range on your trading timeframe as a minimum stop distance to avoid noise-triggered stops.

Daily Loss Limits

Set a daily loss limit (typically 2–3× your per-trade risk) and stop trading for the day when hit. The Phantom Desk Prop Firm Challenge Mode enforces this automatically. Journals track your daily P&L and flag when you are approaching your limit.

Using Phantom Desk to Build Risk Discipline

Paper trade for 30 days with strict adherence to your risk rules before applying them live. The Phantom Desk Pre-Trade Validator flags over-sized positions before you enter. AI Trade Autopsy identifies whether your exit was disciplined or emotion-driven.

Frequently Asked Questions

What position sizing approach does Hanzo AI recommend?

Fixed fractional position sizing (1% risk per trade) is the default framework. The Phantom Desk Pre-Trade Validator defaults to 1% risk and flags trades that exceed this threshold.

How does the AI Coach help with risk management?

The AI Coach tracks your risk behavior across journal entries and flags patterns like size creep (gradually increasing position size after wins), revenge trading (doubling size after losses), and daily limit violations.

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