Xynth is an AI‑driven research platform that answers natural‑language queries by pulling data from over 300 live market sources—options flow, dark‑pool activity, SEC filings, sentiment feeds, and fundamentals—and automatically generating a quantitative research plan.
Funding
Funding not disclosed
Founders
Product
Problem
Traders must gather and analyze data from dozens of separate tools—options flow, dark‑pool prints, sentiment feeds, SEC filings, and more—to develop a single trade idea, a process that often takes hours and incurs high subscription costs.
Solution
Xynth is an AI‑driven research agent that connects to over 300 real‑time data sources and automatically builds a quantitative research plan in response to a natural‑language query. The platform writes and executes live analysis code, synthesizes the results, and delivers a concise dashboard with high‑conviction trade setups, entry/exit levels, and supporting metrics. By consolidating data and automating analysis, Xynth reduces research time from hours to minutes and eliminates the need for multiple costly data subscriptions, allowing traders to focus on execution.
Target Audience
Primary users are day traders, swing traders, options traders, and hedge funds that require fast, data‑rich trade research and execution support.
Features
- Integration with 300+ live data feeds, including options flow, dark‑pool activity, SEC filings, analyst ratings, Reddit/Twitter sentiment, gamma exposure, and fundamentals
- Natural‑language query interface that generates a custom research plan and runs code on the fly
- Automated generation of trade ideas with entry, exit, and risk parameters presented in a single visual dashboard
- Real‑time AI models that continuously update analysis as new market data arrives
- Cross‑source synthesis to identify confluences and high‑conviction setups missed by isolated tools
- Tiered subscription plans that replace the need for multiple separate data services