How Does a Momentum Scanner Work?
A momentum scanner continuously ingests market data across thousands of assets and applies scoring algorithms to detect which ones are accelerating toward a move. Most scanners process three categories of data: price and volume action, technical indicator signals, and (in newer tools) social sentiment velocity.
Here's the typical pipeline, step by step:
- Data ingestion. The scanner pulls real-time or end-of-day price data, volume, and order flow for every asset in its universe. A tool like Trade Ideas ingests tick-by-tick data for 8,000+ US equities. Banana Farmer pulls daily bars and social data for 9,287 tracked assets including 125 cryptocurrencies.
- Feature calculation. Raw data gets transformed into signals. Common features include relative volume (today's volume vs the 20-day average), price compression (how tight the recent trading range is), moving average convergence, RSI divergences, and unusual options activity. Social-momentum scanners add features like mention velocity (how fast social chatter is accelerating) and sentiment polarity.
- Scoring or ranking. Each asset gets a composite score based on those features. Some scanners use weighted formulas. Others use machine learning models trained on historical breakout data. The output is a ranked list: the assets most likely to make a significant move, ordered by probability or magnitude.
- Alert delivery. The top-scoring assets get pushed to the trader as a leaderboard, email alert, push notification, or in-app signal. The best scanners include an explanation of why each asset scored high, not just the ticker and the number.
The key difference from a traditional screener: you don't set the filters. The scanner's algorithm decides what matters. A screener asks you “what are you looking for?” A momentum scanner tells you “here's what's about to move, and here's why.”
That distinction is important because momentum is inherently multi-dimensional. A stock might have rising volume, tightening Bollinger Bands, and increasing social mentions all at the same time. Manually checking all three across 9,000 tickers isn't practical. A momentum scanner checks all of them simultaneously and flags the convergences.