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🤓 Latest Submissions
AegisAlpha — Autonomous Event-Driven Options Agent
AegisAlpha is an autonomous, event-driven options trading agent built for the Alpaca AI Trading Agents Hackathon. Instead of relying on a fixed watchlist, AegisAlpha uses an autonomous AI screener to find meaningful market catalysts and identify opportunities worth investigating. When an event is detected, AegisAlpha gathers real-time market and options data. Bull and Bear AI agents independently build opposing views, while a Trader agent evaluates both sides and forms the final trading thesis. If an opportunity exists, the system selects and validates an options contract using factors such as liquidity, spread, DTE, Greeks, implied volatility, and price. It then produces a transparent 0–100 Opportunity Score. The most important layer is the deterministic Risk Governor. AI can recommend a trade, but it cannot override hard risk rules. Position limits, exposure, drawdown, liquidity, and execution safeguards are checked before any order can proceed. If the trade passes every gate, it is executed through Alpaca Paper Trading and monitored automatically. If it fails, the system rejects it—and records exactly why. The entire process is visible through AegisAlpha's Decision Journal, showing AI reasoning, Bull/Bear perspectives, option selection, validation, risk decisions, executions, and rejected opportunities. AI proposes. Data informs. Risk governs. Code executes. AegisAlpha is not built to predict the market with certainty. It is built to make autonomous trading smarter, more transparent, and more controlled.
4 Sep 2026
Simulyn: Synthetic Market Simulator
Simulyn is an AI-powered Synthetic Market Simulator that helps businesses evaluate product launches and business strategies before making real-world investments. Companies typically rely on surveys, focus groups, historical reports, and A/B testing to estimate market response. These methods are often slow, expensive, and unable to capture the complex interactions between customers, competitors, retailers, influencers, and market dynamics. With Simulyn, users describe a business scenario in natural language, such as launching a new smartphone or introducing a new pricing strategy. The platform extracts key business information—including product details, target audience, pricing, competitors, and launch region—and converts it into a structured simulation. Simulyn generates a synthetic population of AI personas representing different customer archetypes. Each persona has unique preferences, purchasing behavior, priorities, and decision policies. Rather than behaving identically, these agents interact with each other inside a multi-agent simulation, allowing market behavior to emerge from their collective decisions. The simulation models adoption trends, market sentiment, competitor influence, and business outcomes while providing explainable reasoning for why individual agents choose to buy, wait, recommend, or reject a product. Users can inspect these decision paths to better understand the factors driving the simulated results. After the simulation, Simulyn generates an executive report summarizing opportunities, risks, assumptions, and strategic recommendations to support better business decisions. By combining AI-powered scenario understanding, synthetic personas, and explainable multi-agent simulation, Simulyn enables organizations to explore possible market outcomes before committing real-world resources.
13 Jul 2026
