About MomoRadar

Our Mission

MomoRadar exists to give small-cap day traders a decisive edge when it matters most. We built this platform because we lived the frustration firsthand: watching legacy scanners lag behind the move, drowning in noisy ticker feeds, and missing the narrow windows where real opportunity lives. The core problem is straightforward — by the time most retail participants notice a momentum surge, the best entries have already passed.

Our answer is a purpose-built scanning engine that surfaces high-probability setups through a blend of RSI divergence, relative volume (RVOL), average true range (ATR), price-action pattern recognition, and a proprietary composite score. Rather than flooding your screen with every ticker that twitches, MomoRadar applies strict multi-signal convergence filtering so only the most actionable candidates reach your dashboard.

How It Works

Behind the scenes, a server-side scanner continuously monitors thousands of equities across U.S. exchanges. Each tick is evaluated against a layered filter pipeline: first by volume surge relative to the session average, then by breakout detection against intraday support and resistance levels, and finally by a battery of momentum-specific indicators. When multiple independent signals converge on a single name, an alert fires — delivering a condensed snapshot of the opportunity along with the contributing factors.

This convergence-based approach is what separates MomoRadar from traditional screeners. Instead of presenting raw data and leaving interpretation to the trader, the platform performs the initial triage automatically. You still make the decision; the system simply ensures you see the right candidates at the right time without wading through hundreds of irrelevant tickers.

Built for Speed

Latency is the enemy of momentum trading. Every component of the architecture is optimized for sub-second alert delivery from signal detection to your browser. The radar gauge on the dashboard provides an instant visual read on overall market heat — whether conditions are quiet, warming up, or surging. Audio notifications let you monitor hands-free so you can watch charts, manage positions, or step away from the keyboard without missing a developing setup.

The interface itself is designed around rapid consumption. Alert cards present the essential data — ticker, percentage gain, volume multiple, composite score — in a compact format that you can scan in a glance. Full charting is one click away for candidates that warrant deeper analysis, complete with toggleable indicators like VWAP, EMA overlays, and volume profiles.

Technology Stack

MomoRadar is engineered with modern infrastructure chosen for reliability and performance. The frontend is powered by Next.js, providing server-rendered pages and edge-optimized API routes. Real-time data flows through Supabase channels, delivering alerts to connected clients with minimal overhead. Advanced charting relies on KLineChart v9, a high-performance canvas-based engine capable of rendering thousands of bars with smooth interaction across all device sizes.

On the backend, the scanning pipeline processes market data continuously during trading hours, applying quantitative filters and persisting results for both live consumption and historical review. The entire stack is deployed on edge infrastructure to minimize geographic latency for North American markets.

Our Team

MomoRadar is created by Zerimar Co, a Florida-based technology company dedicated to building quantitative trading tools for the active retail community. Founded by Javier Ramirez, the company draws on years of hands-on experience navigating small-cap volatility and developing systematic approaches to identifying repeatable setups.

We are a small, focused team that ships deliberately. Every feature is informed by the daily reality of sitting in front of a scanner before the opening bell, and we hold ourselves to the same standard we expect as traders: precision, clarity, and zero tolerance for wasted attention.

Get in Touch

Have questions about the platform, want to share feedback, or need assistance with your account? Visit our contact page to reach the team directly.