Minelab Gold Monster 1000+ Bundle and Training
Original price was: $1,439.00.$1,400.00Current price is: $1,400.00.
The GOLD MONSTER 1000 turns beginners into experts with fully automatic operation in an easy-to-use, high performance detector.
The Gold Monster 1000 turns beginners into experts with fully automatic operation in an easy-to-use, high performance detector.
🚀 Fully automatic operation: No need to fuss with complicated settings, the GOLD MONSTER 1000 handles everything automatically for you.
🔆 Extra sensitive VLF performance: Unmatched sensitivity to detect even the smallest traces of gold, ensuring you don’t miss a single nugget.
🛠 Highly adaptable: Customise your detecting experience with a choice of coils, battery options, and shaft configurations to suit your preferences.
💧 Waterproof coil: Detect in wet conditions without worry, thanks to the waterproof design of the coil.
“Great entry level gold hunting machine with built in discriminator.”
OVERVIEW
The GOLD MONSTER 1000 turns beginners into experts with fully automatic operation in an easy-to-use, high performance detector.
FULLY AUTOMATIC OPERATION
- Automatic Noise Cancel
- Auto Ground Balance
- Automatic Sensitivity
45 KHZ VLF & 24-BIT SIGNAL PROCESSOR
This primary combination greatly boosts sensitivity to gold beyond that of other single frequency VLF detectors over a wide range of nugget sizes, without introducing excess noise and false signals.
EASY-TO-USE CONTROLS
- Gold Chance Indicator
- Detect Modes: Gold (Iron Reject) and Deep All-Metal
- Sensitivity Options: Manual Sensitivity, Auto, Auto+
- Adjustable Volume: 6 volume levels
ADAPTABLE FORM
- Wide ground coverage
- Confined space detecting
- Universal shaft adaptability
WATERPROOF COIL
Waterproof coil (to 1 m / 3 ft) and Rain proof control box.
IMPROVED DISCRIMINATION
The GOLD MONSTER 1000 also has improved ferrous/non-ferrous discrimination and copes better with conductive (salty) soils than higher frequency detectors, making it the perfect choice to maximise your gold recovery.









