Navon S.
Founder
NuroStock
NuroStock ingests SEC Form 4 filings, filters out routine and low‑signal trades, and applies a machine‑learning model to rank insider transactions by their likelihood of preceding short‑term price moves. Each alert includes a confidence score and explainable metrics such as insider role and trade size, plus performance dashboards to help traders assess signal quality.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
David Auguste
Co-founder
Raul Correa
Co-founder
Product
Problem
Investors and traders often struggle to extract actionable insights from the large volume of SEC Form 4 insider filings, as most reported trades are routine or informational and do not lead to meaningful short‑term price movements.
Solution
NuroStock processes raw Form 4 data, filters out routine sales, compensation events, and low‑signal trades, and applies a machine‑learning model trained on historical insider trading patterns to rank the remaining transactions. Each alert includes a confidence score (0–100%) based on insider role, trade size, ownership changes, and clustered activity, allowing users to focus on trades that have historically preceded short‑term price moves. The platform presents explainable metrics that underpin each prediction, and provides performance statistics such as average return per signal and typical holding periods (1‑14 trading days) to help users assess signal quality before acting.
Target Audience
Primary users are active traders, quantitative analysts, and investment research teams seeking data‑driven insider trading signals to inform short‑term equity strategies.
Features
- Automated ingestion of SEC Form 4 filings with extraction of roles, trade types, and ownership changes
- Noise reduction engine that down‑weights routine sales, compensation events, and low‑signal transactions
- Machine‑learning ranking model that scores trades using historical patterns and confidence calibration (0–100%)
- Explainable signal metrics showing factors like insider role, trade size relative to compensation, and clustered insider activity
- Performance dashboards displaying average return per signal, win rate by confidence, and typical holding periods
- Cloud‑based delivery of ranked insider trade alerts for easy integration into research workflows