I corrected my own model before it cost someone money. Here's what changed.
TVTX update:
Yesterday I posted a TVTX breakdown showing 77.5% PoA and MODERATE sell-the-news risk. Someone in the comments called me out on the surrogate endpoint issue. They were right. And if I hadn't fixed it, someone could have held through approval expecting a 20% pop and watched their position do the opposite and bleed out instead.
That's why I built this thing. Not so people can feel smart about biotech. So they stop losing money on events they didn't fully understand.
RCKT got approved two weeks ago. Stock dropped 20%. BIIB got approved last week. Dropped 5%. Both were "good news." Both destroyed retail positions!
The people who lost money on those trades didn't lose because they were wrong about the drug. They lost because they didn't see the sell-the-news setup, the dilution signals, or the surrogate endpoint risk hiding in the data.
Here's what the corrected model shows on TVTX now.
The old score ran on generic FDA text. It saw "sNDA" and "rare disease" and output 77.5% PoA. It didn't know that Filspari's confirmatory trial hit on proteinuria (surrogate endpoint) but missed on eGFR (hard endpoint: actual kidney function). That's the difference between "the biomarker improved" and "the patient actually got better." The FDA sometimes approves on the surrogate anyway. The market doesn't always reward it.
Updated numbers:
PoA: 65.7% (down from 77.5%)
STN Risk: HIGH (up from MODERATE)
Net Edge: 53.0 (down from 65.4)
Grade: WATCH (down from STRONG)
Dilution: MINIMAL, EDGAR filings are clean, no ATM, no shelf
The model now classifies this as a Sell-The-News setup. Not because the drug won't get approved. Because even if it does, the eGFR miss is public, and a surrogate-only label expansion doesn't generate the surprise that moves a stock up. This is the same pattern that burned people on RCKT.
Five hours of research per ticker compressed into one screen. Eight risk layers. Dilution detection that would have caught RCKT's $100M ATM filing 18 days before their PDUFA. Sell-The-News scoring that would have flagged every one of our backtest losses before they happened. Surrogate endpoint detection that just saved the TVTX score from being dangerously optimistic.
Also built a buyout scanner this today. 46 recently approved drugs where the company hasn't been acquired yet, scored across 12 factors with live market data. Small company gets FDA approval, big pharma buys them at a 40-100% premium. The scanner finds the ones still sitting there waiting. That's a different kind of trade. Longer hold, less binary, real upside.
I'd rather you check the free pages and learn something tonight than subscribe and not understand what you're looking at.
Model outputs are quantitative data classifications, not financial advice.