Risk Management Strategies

Define risk per trade before you define profit

A common professional constraint is risking a fixed fraction — often 0.5% to 2% — of account equity per idea. At 1% risk, ten consecutive losses cost roughly 10% of capital; at 10% risk the same streak is close to ruin. Fixed fractional risk is what keeps a losing streak survivable.

• Position size = (account equity x risk %) / distance to stop
• Widen the stop and the size must shrink, never the reverse
• Cap total risk across correlated open positions

Place stops where your idea is wrong

A stop is not a comfort level, it is the price that invalidates your thesis — below the structure that defined your entry, beyond a volatility band, or through the level you expected to hold. Placing stops at a fixed percentage regardless of structure guarantees you will be taken out by ordinary noise.

Volatility-aware stops (for example a multiple of average true range) adapt to changing conditions. In quiet markets they tighten, in violent ones they widen, and position size adjusts automatically to keep monetary risk constant.

Risk-reward and expectancy

A strategy is viable when expectancy is positive: (win rate x average win) minus (loss rate x average loss). A 40% win rate at 3:1 reward-to-risk is strongly profitable; an 80% win rate at 1:4 is not. Judge setups by expectancy rather than how often they feel right.

Correlation is hidden concentration

Ten altcoin positions are usually one bitcoin-beta position wearing ten costumes. Real diversification requires assets that respond differently to the same macro shock, and in crypto that means limiting total directional exposure rather than counting tickers.