'Digimon World: Next Order’ Guide: How to Get Money Fast

By Allan Bilolo, | February 06, 2017

“Digimon World: Next Order” was developed by Bandai Namco Entertainment for Playstation 4 and Vita players. (YouTube)

“Digimon World: Next Order” was developed by Bandai Namco Entertainment for Playstation 4 and Vita players. (YouTube)

Having enough money in “Digimon World: Next Order” game will be very helpful as players go through the game. It can be used to get training, items for healing, to travel around, and purchase food the game. This article will provide tips that players can use to earn money in the game easily and as quickly.

Like Us on Facebook

To earn a lot of money in the game fast, players must already have the two upgrades to accommodate more Bits in the game. When that’s done, go to Bony Drive and head to the Celeb Red Room to face Wizardmon. The trick is to beat him and earn 3000 Bits and then leave the room so players can go back and beat him again. Each victory rewards the player the same amount of Bit, and the only thing that will limit players from doing it continuously is their stamina. When that happens, players just need to rest in the tent and cook food when hungry.

To restore stamina as fast as possible, players can go to the vending machine and buy Milk for 200 Bits. Buy a couple of milk so they can cook milkshakes in the tent and restore a good portion of their stamina. Moreover, players will also encounter Clear Augumon outside the Red Room which can be used to farm for fruits instead of avoiding them.

“Digimon World: Next Order” is a game published by Bandai Namco Entertainment for Playstation 4 and Vita players. It was released last March 17, 2016, for Vita but just this January 2017 for PS4. The reception for the game was reportedly very good as it has earned a rating of 33 out of 40 from a Japanese magazine. It also became the second best-selling game in the country in its debut week selling 64,218 units.

©2025 Telegiz All rights reserved. Do not reproduce without permission
Real Time Analytics