Built this for my own trading over the past month. Opening it up for others to use and get feedback on.

The problem

Every day a handful of penny/low-float stocks move 100-500%. They’re never random. There’s always a setup building in the 1-2 weeks before. I wanted to systematically detect that setup before it fires — not after everyone else already sees it.

How it works

Pulled 5 years of daily data for all US stocks under $10 with float under 30M shares. Found 800+ historical explosion events (100%+ moves in 5 days). Extracted the 14-day signal sequence before each explosion. Trained an XGBoost model to recognize that pattern in live tickers every morning.

The pre-ignition sequence the model learned:

•	Volume creeping up vs 30-day average — not spiking yet, just building  
•	“High volume, low move” days — big volume, price barely moves (accumulation signal)  
•	Higher lows forming — base building  
•	Range compressing — coil tightening  
•	Volume accelerating into the final days

Two-layer output:

Score (0-100): How closely this stock’s 14-day pattern matches historical explosions

Grade (A-D): Real-time quality check — volume actually building now? Base confirmed? Momentum bullish?

High score + Grade A/B = strongest setups. A stock can score high but grade low if the historical pattern matches but current signals aren’t confirming yet.

Check the Replay tab — shows what the tool would have flagged 14 days before past explosions like ELPW (+1,597%) and SKK (+617%). The volume buildup pattern is unmistakable in hindsight.

Live watchlist (updates every morning):
👉 https://prefire-delta.vercel.app/

⚠️ Not financial advice. This is a research tool — do your own due diligence before making any trading decisions. Low-float penny stocks are extremely high risk.

Curious what signals others think are missing. Happy to go deep on methodology in the comments.