Kanga P2P First Trade – The opportunity to win prizes from the 1,500 USDC fund is about to end

Event Overview

Event period: February 23, 2026 – March 20, 2026

P2P First Trade is a program that encourages new users to experience P2P trading on Kanga Exchange . Simply completing your first P2P trade allows you to participate in a prize draw and have a chance to win USDC from a total prize pool of 1,500 USDC.

Eligibility requirements

Users need to meet the following requirements:

• Register for a Kanga trading account using HCCVenture's referral link here!

• I had never used Kanga P2P before the campaign started.

• Complete your first P2P transaction of at least 50 USDT.

• Register to participate through the official form.

• Provide your Kanga account email and P2P transaction ID.

Each user is only allowed to participate once .

Prize structure

The total prize pool of 1,500 USDC is allocated as follows:

• 1 grand prize: 500 USDC

• 2 prizes: 200 USDC each

• 3 prizes: 100 USDC each

• 6 prizes: 50 USDC each

Each participant can only receive one prize .

Reward payment period

After the campaign ends on March 20, 2026 , Kanga will verify the list of participants and conduct the prize draw. The USDC reward will be transferred directly to the winner's Kanga wallet within 7 days .

Don't miss this last chance!

If you haven't tried P2P trading on Kanga yet , now is the perfect time to start. With just your first trade , you can experience the P2P market and have a chance to win a $1,500 USDC reward fund before the program ends on March 20, 2026 .

Disclaimer: The information presented in this article is the author's personal opinion in the field of cryptocurrency. This is not financial or investment advice. All investment decisions should be based on careful consideration of your personal portfolio and risk tolerance. The views expressed in this article do not represent the official stance of the platform. We recommend that readers conduct their own research and consult with experts before making any investment decisions.

Compiled and analyzed by HCCVenture

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