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Deriv P2P app for iPhone and iPad


4.4 ( 3184 ratings )
Finance
Developer: Deriv Investments (Europe) Ltd
Free
Current version: 1.10.23, last update: 6 months ago
First release : 20 Apr 2021
App size: 67.84 Mb

Deriv P2P is a peer-to-peer transfer platform that facilitates fund exchange between our clients. Users can make deposits and withdrawals into and from their Deriv accounts. Users can use 106 payment transfer methods, including Paypal, Alipay, Skrill, Wechat Pay, Webmoney, Google Pay, Apple Pay, P2P wallets, bank transfers, etc for fund transfer. Sell or buy USD in exchange for your local or supported currency (ZAR, USD, GBP, NGN, COP, COU, CDF, LKR, PKR, INR etc.) Find an ad that matches your desired requirements or post an advertisement of your own on our flexible, reliable, and intuitive platform offered on desktop and mobile devices.


Deriv P2P app features:
• Exchange with confidence.
We verify all app users instantly as an added security measure to help protect your exchanges. You can verify your identity with your official ID.

• Global payment methods
Users can transfer money from their bank accounts using different payment methods. We integrated 106 payment transfer methods, including P2P wallets, bank transfers, Paypal, Alipay, Skrill, Wechat Pay, Webmoney, Google Pay, Apple Pay etc.

• Secure your funds
Funds are released only when both parties have fulfilled payment arrangements. Find an ad that matches your desired currency and payment method, or post an advertisement of your own.

• Gain better control
Set the currency rate when you sell currency. Have the convenience of pausing your ads when you need to rest from the market.

• Access a broader market
Find a more extensive clientele by running your ads on the Deriv P2P markets. All our users will be able to see your ads and offer to buy from or sell to you.

• Communicate easily
The built-in chat feature lets buyers and sellers connect directly in a secure zone.

• Receive instant alerts
Get informed about orders, exchanges, and chat messages in real-time.