01 // THE ARCHITECT

From Thought to Institutional Grade.

What you have found here is unique. We have stripped away the complexity of quantitative finance. Simply articulate your strategy, define your assets, and watch OCULUS translate your intent into a fully automated execution model. No syntax hurdles—just pure logic.

> Building Alpha Strategy...
02 // TRANSPARENCY

A Glass Window into The Mind of AI.

Most platforms hide their logic behind a generic loading bar. OCULUS invites you in. Watch the AI plan, reason, and execute in real-time. Each thought and each action is visible, allowing you to audit the "Chain of Thought" as your algorithm is born.

03 // INFINITE MEMORY

Intelligence that Compounds.

OCULUS archives every iteration of your strategy and the collective insights of our ecosystem. Roll back, compare, or merge logic from previous versions at any time. Our engine gets better with every use, ensuring your edge evolves rather than decays.

V3.4
V3.3
V3.2
04 // RISK PARAMETERS

Define Your Outcome.

Literally just tell OCULUS what you want to aim for. Set your maximum drawdown and minimum return targets. If the mathematical goal isn't hit, the engine automatically restarts the re-optimization loop until the requirements are satisfied.

05 // SPEED

60-Minute Optimization Cycles.

Each iteration cycle processes thousands of data points in roughly one hour, ensuring your alpha is mathematically sound. If your goal is met, deploy immediately. If not, OCULUS will continue to reiterate until perfection is achieved.

59:59
06 // MONETIZATION

Earn as your Alpha is Used.

The journey doesn't end at deployment. Publish your algorithm to the OCULUS Marketplace and earn revenue as other clients use your strategy. Alternatively, keep your logic for yourself via a secure, encrypted Docker system.

+$2,450.00
Support

Frequently Asked Questions.

Everything you need to know about the Oculus ecosystem and algorithmic architecture.

All financial transactions, including monthly subscriptions and on-demand token top-ups, are securely processed via Stripe. We support all major credit cards, Apple Pay, and Google Pay for seamless infrastructure scaling.

Once your strategy is published and generating revenue from other users, you can receive payouts by linking your preferred payment method in the Creator Dashboard. Payouts are distributed on a monthly cycle after reaching a minimum threshold.

Tokens represent the computational power required for OCULUS to iterate on your strategy. Each time you ask the AI to "Piviot" 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 encrypted environments. Unless you explicitly choose to publish your strategy to the Marketplace, your logic remains your private intellectual property.

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.