The Gamisce Field Guide
Understanding the convergence of game physics and financial algorithms requires a shift in perspective. We treat both as systems of rules, probabilities, and feedback loops. The primary difference is the user's goal: entertainment versus capital appreciation.
When we build a game, we optimize for "fun"—a subjective metric often achieved through balanced difficulty and responsive controls. When we build a trading algorithm, we optimize for "edge"—a statistical advantage derived from latency arbitrage or pattern recognition.
Decision Criteria
- 1. Latency Sensitivity: Is the system time-critical? (Yes for both).
- 2. Determinism: Does the input always yield the same output? (Physics yes, Markets no).
- 3. User Feedback: Is visual/audio feedback required instantly? (Core to gaming, secondary to trading).