Catalyst-driven trading, run by a system that never looks away.
LamboHunter scans the market for upcoming catalysts, ranks what it finds, and manages entries and exits automatically. You watch it work from your phone.
Is the price fair?
No fair price
Cannot be valuedFair price
-Six months out
Low, mid and high are the three scenarios priced out - not a forecast of where the stock goes.About
Company reference data.-
Key financial metrics
-Reported figures
-Latest news
-How the system works
From the market-wide scan down to the exit on a single position.
US-listed equities scanned per cycle
Parameter combinations tested on verified trades
Priority layers in the exit waterfall
Adaptive neural pipeline
Every cycle sweeps 5,000+ US-listed equities and folds in earnings-calendar data, sector rotation and news sentiment to produce one ranked list. The market is watched in real time and the system adjusts its own aggressiveness as conditions change.
Mechanical exit waterfall
Exits are not discretionary. Four layers fire in priority order:
- 1 Hard stop loss
- 2 Flash-crash protection
- 3 Activation-gated trailing stop, with a maximum-giveback cap
- 4 Time-based expiration
Tuned across 54,000+ parameter combinations on verified historical trades.
Self-calibrating feedback loop
Every closed trade is archived with its context — entry catalyst, confidence score, market regime, sector and market cap — and fed back in, so the parameters keep reoptimising against what actually happened.
Full technical indicator stack
Moving averages, RSI, MACD, Bollinger Bands and relative-volume scoring, evaluated together rather than in isolation.
The Team
Two people build and run LamboHunter.
Stanko Stankov
Trader / AI Engineer
Builds and operates the trading system - the scanner, the ranking models and the execution logic that manages every position.
Denislav Tsonev
Investor / Marketing
Handles marketing and investor communication, and makes sure what the system does is explained in plain language.