How to Verify Your HTX Account: A Complete KYC Guide

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Verifying your HTX account unlocks essential features like higher withdrawal limits and improved security. This step-by-step guide covers all verification levels (L1-L4) for both web and mobile platforms.

Understanding HTX KYC Verification

KYC (Know Your Customer) is mandatory for:

✅ Enhanced asset security
✅ Higher trading permissions
✅ Increased transaction limits
✅ Access to financial activities
✅ Futures bonus eligibility

Web Verification Guide

Level 1 (Basic Verification)

  1. Navigate to HTX website and click your profile icon
  2. Select [Basic verification]
  3. Click [Verify Now] in Personal Verification
  4. Submit required personal information
  5. Confirm submission to complete L1

Level 2 (ID Verification)

Prerequisite: Completed L1 verification

  1. Access L2 verification section
  2. Choose document type and issuing country
  3. Upload clear photos of ID front/back
  4. Wait for HTX team approval (typically 1-3 business days)

👉 Need help with document upload?

Level 3 (Advanced Verification)

  1. Download HTX mobile app
  2. Log in and navigate to profile
  3. Initiate facial recognition process
  4. Complete biometric authentication

Level 4 (Investment Assessment)

  1. Provide supporting financial documents
  2. Submit capability assessment form
  3. Wait for manual review

Mobile App Verification

Level 1-2 Verification

Follow similar steps as web version through app interface

Level 3-4 Verification

  1. Access verification through profile menu
  2. Complete facial recognition (L3)
  3. Submit financial documents (L4)

FAQ Section

Q: Why won't my photos upload?

A: Ensure:

Q: Not receiving verification email?

A: Check:

👉 Troubleshooting tips for KYC

Q: Common KYC errors?

A: Avoid:

Key Reminders

  1. Verification typically takes 1-5 business days
  2. Higher levels require lower level completion first
  3. Contact support for special circumstances
  4. Keep documents current and valid

Note: Remove all accessories and ensure proper lighting during facial recognition.