Oculus utilizes a straightforward subscription model. Select your plan, receive your monthly allocation of compute tokens, and build. Tokens reset automatically each month, and you maintain absolute control to top-up or scale whenever you need.
Each time you execute a build or optimization cycle, the AI consumes tokens based on computational weight. You can strictly cap "maximum iterations" before every single build.
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Tokens represent the computational power required for OCULUS to iterate on your strategy. Each time you ask the AI to "Pivot" or "Re-optimize" a strategy, tokens are consumed to power the thousands of backtest simulations and data-point references required.
Correct. OCULUS is built on a natural language interface. If you can articulate your market thesis in English, the engine can architect the quantitative code, manage the Docker containers, and handle the API execution for you.
Sovereignty is a core pillar of Oculus. Your strategies are stored in strictly encrypted environments. Your trading logic remains your private, highly secure intellectual property at all times.
When you deploy a strategy for personal use, OCULUS wraps the algorithm in a sandboxed Docker container. This ensures your code is isolated, secure, and can execute 24/7 without being affected by external infrastructure changes.
OCULUS references thousands of data points including historical price action, macro-economic indicators, sector correlations, and micro-structure order flow to ensure every iteration is battle-tested against multiple market regimes.
Yes. You can prompt OCULUS to trade specific baskets or sectors (e.g., "The top 10 S&P Tech stocks"). The AI will manage the weightings and correlations across the entire sector automatically.
If a re-optimization cycle fails to meet your defined drawdown or return parameters, OCULUS logs the failure, analyzes why the target was missed, and prepares a new "Chain of Thought" for a subsequent iteration.
On average, a deep strategy iteration takes roughly 60 minutes. This time allows the engine to run exhaustive simulations across years of historical data to ensure mathematical validity.