Tom Basso's Risk Management Protocols: Protecting Capital in Trading

Tom Basso considers risk management paramount. He designs trading systems with explicit risk controls. His primary goal is capital preservation. He understands drawdowns destroy psychological capital. They also make recovery mathematically harder.

Position Sizing

Basso employs sophisticated position sizing techniques. He never risks more than a small percentage of his capital on a single trade. A common rule is to risk 1% or 2% of total equity per trade. This means if his account size is $1,000,000, his maximum loss on any single trade is $10,000 to $20,000. He calculates position size based on the distance to his stop-loss. If a stock trades at $100 and his stop-loss is at $95, his risk per share is $5. To risk $10,000, he would buy 2,000 shares ($10,000 / $5). This ensures consistent risk per trade, regardless of price volatility.

He adjusts position sizes dynamically. As his account grows, his risk per trade in dollar terms also grows. If his account shrinks, his risk per trade shrinks. This keeps his risk exposure proportional to his capital base. He avoids fixed contract sizes or share counts. He believes fixed sizing fails to account for volatility. A highly volatile instrument requires a smaller position size. A less volatile instrument can accommodate a larger position size. He uses Average True Range (ATR) to gauge volatility. A higher ATR translates to a smaller position size, assuming a fixed dollar risk per trade. For example, if a stock's ATR is $2, and another's is $5, he will take a smaller position in the $5 ATR stock for the same dollar risk.

Stop-Loss Management

Basso always uses stop-loss orders. These orders execute automatically to limit losses. He places initial stop-losses at logical market points. These are not arbitrary price levels. For a long trade, he might place the stop below a recent swing low. For a short trade, above a recent swing high. He calculates these levels before entering a trade. He never moves a stop-loss further away from the entry price. He may move it closer to reduce risk or to a breakeven point. He considers this a cardinal rule of risk management.

He employs various stop-loss types. Trailing stops are common. These stops move with the price as it moves in his favor. A trailing stop might be 3 * ATR below the current price. If the price rises, the stop rises. If the price falls and hits the stop, the trade closes. He also uses time-based stops. If a trade does not perform within a specified number of days, he exits. This frees up capital. For example, if a position shows no profit after 20 trading days, he closes it. This avoids opportunity cost.*

Portfolio Risk Limits

Basso manages risk at the portfolio level. He limits the maximum allowable drawdown for his entire portfolio. If the portfolio equity drops by a predefined percentage, he reduces trading activity. This could mean cutting all positions. It could also mean reducing position sizes across all strategies. A common portfolio drawdown limit might be 15% to 20%. If his $10,000,000 portfolio drops to $8,000,000, he stops trading or significantly reduces exposure. This prevents catastrophic losses.

He diversifies across multiple uncorrelated strategies. This reduces overall portfolio volatility. If one strategy performs poorly, others may perform well. This smooths out equity fluctuations. He also diversifies across asset classes. He trades equities, commodities, and currencies. This reduces concentration risk. A downturn in one market does not cripple the entire portfolio.

Basso also considers correlation between assets. He avoids taking highly correlated positions. For example, he would not simultaneously be long multiple highly correlated technology stocks. This would effectively increase his risk on a single market theme. He monitors portfolio correlation coefficients regularly. High correlation triggers position adjustments.

System Failure Protocol

Basso has protocols for system failure. He understands trading systems can stop working. He monitors key performance metrics. These include win rate, average profit per trade, and maximum drawdown. If a system deviates significantly from its historical performance, he investigates. He might temporarily halt the system. He then analyzes the underlying market conditions. He determines if the market structure has changed. He re-optimizes or retires the system if necessary. He maintains a detailed log of all system changes. This ensures accountability and trackability.