Data ingestion
We collect search momentum, domain-level web traffic, and financial signal data matched to retail and consumer companies.
- Brand and category search terms
- Web traffic patterns by company domain
- Delayed financial and market context
How it works
From retail attention to tradable research signal.
10BPS does not predict the future. It measures present consumer attention across 300+ retail-focused stocks, then filters that activity against normal activity, traffic, and financial context so unusual demand is easier to see.
01
Collect
Search, traffic, financial context
02
Normalize
Company matching and normal activity ranges
03
Detect
Confirmation, context, alert ranking
Stock watch
High
Search momentum is running above normal
The process
A cleaner way to separate attention from noise.
Consumer search and traffic can move for messy reasons: news cycles, campaigns, seasonality, product launches, and social bursts. 10BPS is built to compare those moves against each stock's normal pattern before showing them as research-worthy signals.
Noise reduction
Raw spikes are filtered against historical behavior and adjacent data sources so one-off attention bursts do not dominate the screener.
- Seasonal and normal-range review
- Cross-source confirmation
- News and campaign-aware review
Signal ranking
Current activity is compared with recent normal behavior to show where attention is breaking meaningfully above normal.
- Above-normal activity review
- Breakout strength ranking
- Watchlist-ready signal context
Inputs
Three views of consumer demand, connected to each company.
10BPS is most useful when a signal is supported by multiple views of consumer behavior. Search shows curiosity, traffic shows intent, and financial data gives the move context.
What gets surfaced
The useful signal is unusual interest.
10BPS highlights when search and traffic activity move above a stock's normal pattern. That is where smaller retail names can get interesting: the business is public, but the demand shift may not be fully priced yet.
Typical interest
Normal
Current attention
High
Signal status
Review
Research before consensus
See which retail names are moving before the story is obvious.
Use 10BPS to monitor less-covered consumer stocks, review attention breakouts, and build a sharper daily research workflow.