StockAgents is a strategy engine that converts institutional‑grade data—such as options arbitrage signals, earnings history, and AI‑parsed transcripts—into ready‑to‑trade blueprints with entry, exit and risk parameters. By delivering deep fundamental backtesting and peer benchmarking in seconds, it gives retail prosumers, boutique RIAs, independent brokers and micro‑fund managers hedge‑fund‑level tactical ideas without the need for proprietary research or expensive terminals.
Funding
Funding not disclosed
Founders
Product
Problem
Retail investors and small investment firms often lack access to the institutional data and quantitative analysis tools needed to develop reliable, hedge‑fund‑grade trading strategies, relying instead on fragmented news and basic price‑action methods that produce inconsistent results.
Solution
StockAgents offers a purpose‑built strategy engine that transforms high‑quality institutional data—such as options arbitrage signals, historical earnings moves, and AI‑parsed earnings transcripts—into executable trade blueprints within seconds. The platform combines deep fundamental backtesting with quantitative peer benchmarking to generate concise, data‑backed tactical recommendations, including entry and exit parameters. Users receive ready‑to‑trade blueprints that can be directly applied to multi‑week swing trades, long‑term positions, or thematic plays, providing a consistent edge without the need for proprietary research teams or expensive terminal subscriptions.
Target Audience
Primary customers are active retail prosumers, boutique registered investment advisors, independent brokers, and emerging micro‑fund managers seeking institutional‑level strategy intelligence without large infrastructure investments.
Features
- Institutional‑grade data integration covering options arbitrage, earnings history, and AI‑extracted transcript insights
- Automated strategy generation that outputs a complete trade blueprint with entry, exit, and risk parameters
- Deep fundamental backtesting and peer benchmarking to validate discretionary theses
- Customizable, hyper‑personalized tactical “satellite” strategies for boutique RIAs and emerging managers
- Thematic playbooks (e.g., AI Energy Infrastructure) with pre‑defined narrative and execution details
- Cloud‑based engine delivering instant strategy turnaround without local hardware requirements