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#GG Backtest Part 5 (KISS – Keep it simple, stupid) In complex Pott systems, a paradox often emerges: The more data, models, and optimization layers you add, the more unstable the system becomes in live markets. Backtesting creates the illusion of control. But control can quickly turn into **overfitting**. Here an old principle from systems theory and engineering applies: **KISS – Keep it simple, stupid.** --- ### 🧠 1. Complexity is often disguised uncertainty Many strategies look superior in backtests because they: * optimize too many parameters * react too specifically to historical patterns * interpret random structures as “edge” The problem is: > The more degrees of freedom a model has, the better it fits the past – but not necessarily the future. --- ### ⚙️ 2. Simple systems are more robust than perfect systems A simple system: * fewer parameters * fewer sources of error * lower overfitting risk This often leads to a crucial advantage: > Stability across multiple market regimes. In a Pott system, this means: Not every subsystem needs to be “smart.” It only needs to be **robust enough not to break**. --- ### 🔄 3. KISS as a filter in the Pott system If you think of your system as a “pott of strategies,” then KISS becomes a filter: * Which strategy works without optimization? * Which idea remains stable when parameters change? * Which logic is structural rather than data-dependent? Then something important happens: > You don’t remove bad ideas – you remove overly complex ones. --- ### 🧩 4. Backtesting as reduction, not expansion The classic mistake in backtesting: More indicators = better system KISS flips this logic: More reduction = higher survivability A good backtesting system does not ask: > “How can I improve this?” but instead: > “What can I remove without making it worse?” --- ### 🧭 Conclusion In a Pott system, KISS is not a rejection of intelligence. It is a form of discipline against your own creativity. Because in the end: > The most complex system does not win – the one that keeps working in market chaos does.
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