Algorithmic Development
Made Easy.
A comprehensive view of the core components, systems, features, frameworks, and advanced logic built natively into Oculus.
Equities & Options
Choose to develop algorithms for one or both of two massive asset classes. Whether you are trading high-volume tech stocks or running complex derivatives, Oculus lets you bring your strategy to life.
Options Intelligence
A robust, dedicated dashboard designed to assist with options strategy creation, visualizing strikes and expirations effortlessly.
Rapid Optimization
No more waiting months for an automated strategy. Each iteration cycle takes roughly 4 minutes, thoroughly crunching thousands of historical vectors to optimize math models with absolute speed.
Infinite Memory
Oculus logs and tracks every past strategy design. As usage velocity accelerates, the system retains foundational patterns to assist future generations of your builds.
8,000+ Tradeable Symbols
Unrestricted market access. Build, test, and deploy algorithms across more than 8,000 specific equities and derivatives. Scan entire sectors for algorithmic opportunities, and then build.
19 Strategy Types
Choose from nineteen distinct strategy types when developing your algorithm. Select the strategy best aligned with the symbols you are trading and your ultimate goals, or simply let Oculus pick the optimal framework for you.
8 Risk Settings
Each strategy can have up to 8 customizable risk parameters, explicitly designed to enforce protective boundaries and successfully mitigate market risk.
125+ Technical Indicators
The AI analyzes more than 125 technical indicators when creating new strategies, allowing it to rigorously test and determine exactly which parameters will work best for your desired goals.
Live Feeds
Track real-time prices for specific symbols, stacked directly alongside macroeconomic updates and breaking news feeds, assisting you with crucial context when creating your strategy.
Extensive Knowledge Base
Our complete documentation architecture maps out every section, feature, and technical detail needed for you to effectively get the absolute most out of the platform.
Frequently Asked
Questions
Everything you need to know about the Oculus ecosystem and algorithmic architecture.
How are payments and token top-ups processed?
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.
What are tokens and how are they used?
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.
Do I really need zero coding skills to use Oculus?
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.
Is my strategy logic kept private?
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.
How does the "Secure Docker System" work?
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.
What kind of data does Oculus reference?
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.
Can I build strategies for entire sectors?
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.
What happens if my strategy doesn't hit its targets?
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.
How long does a typical iteration take?
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.