[RESEARCH BLOG] · 2026-07-21
Finviz vs LOPJLB: Screening vs Backtested Signals
By Pierre Brunelle · Founder & Research Lead
Finviz is excellent at visual screening and heatmaps. Filters, map views, and a fast tape of the market still matter. LOPJLB is not trying to replace that canvas — it ships a different layer: a nightly research opinion with proof.
Side-by-side
| Capability | Finviz | LOPJLB |
|---|---|---|
| Visual screener / heatmaps | Strong | Available; not the center |
| Daily backtested directional signals | Partial / DIY | Core product |
| Per-ticker profit factor & Sharpe | No | On every call |
| HMM market regime (5 states) | No | On every name |
| Earnings calendar + signal state | Partial | Enriched by default |
| Agent feeds (RSS, markdown, OpenAPI) | Limited | First-class |
See the full table on /compare.
When Finviz is enough
- You already have a thesis and need a fast visual filter
- Heatmaps and sector maps are the workflow
- You will build or import your own signals
When LOPJLB is the better next step
- You want the desk to publish BUY/SELL with out-of-sample stats
- Regime context should gate how you read the call
- You need the same book in a screener, calendar, CLI, or agent pipeline
Documented models live on methodology. Live Performance Score evidence is on SD50.
Bottom line
Finviz screens. LOPJLB scores and calls. Use both if you like — but if the missing piece is evidence-backed direction across thousands of U.S. names, start at the screener, not another filter preset.