Campaign Trading: Tactics and Strategies to Exploit the Markets
By John Sweeney
Quick Summary
John Sweeney presents a systematic approach to trading that treats each trade as a "campaign" -- a planned series of tactical decisions with defined entry points, risk parameters, time horizons, and exit strategies. The book emphasizes testing systems through rigorous scientific methodology, understanding the statistical properties of price series, and developing rule-based trading strategies that incorporate trend following, range trading, and reversal tactics with explicit position management.
Detailed Summary
The Campaign Metaphor
Sweeney's central metaphor frames trading as a military campaign requiring strategic planning, tactical execution, and disciplined resource management. Each trade campaign has defined objectives, a time horizon, risk boundaries (stops), and contingency plans for different market scenarios. This structured approach replaces ad hoc decision-making with systematic rules.
Statistical Foundations
The book covers the statistical properties of financial time series: serial dependence (the degree to which past prices predict future prices), stationarity, and the distinction between random and structured price behavior. The concept of persistence -- the tendency for trending behavior to continue -- is examined as the empirical foundation for trend-following strategies.
Trading Strategies
Three major strategic categories are developed: trend trading (capturing sustained directional moves), range trading (profiting from oscillating prices within defined boundaries, including broadening ranges), and reversal trading (identifying points where trends are likely to change). For each category, specific entry rules, stop placement methods, and exit criteria are provided. The concept of "skimming" -- taking small, consistent profits from predictable short-term price behavior -- is presented as a distinct tactical approach.
System Testing and Optimization
Rigorous testing methodology receives substantial attention: the scientific process of hypothesis formulation, data collection, testing, and refinement; the dangers of curve-fitting and over-optimization; the distinction between in-sample and out-of-sample performance; and the importance of measuring Maximum Favorable Excursion (MaxFE) -- the maximum profit a trade reaches before being closed -- as a metric for evaluating strategy effectiveness.
Risk Management
Stop loss placement, stop adjustment during trades, and the comparison of stops versus options as risk management tools are covered in practical detail. The book argues that the choice between stops and options as protective mechanisms depends on market conditions, the trading time horizon, and the specific strategy being employed.
Categories
- Trading Systems
- Technical Analysis
- Risk Management
Key Takeaways
- Treating each trade as a planned campaign with defined objectives and contingencies replaces ad hoc decision-making
- Trend following, range trading, and reversal strategies each have specific conditions under which they are appropriate
- Rigorous system testing using scientific methodology is essential to distinguish genuine edges from curve-fitted illusions
- Maximum Favorable Excursion (MaxFE) provides valuable insight into strategy effectiveness
- Stop losses and options serve different risk management functions depending on market conditions and strategy
