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imToken: BTC & ETH Wallet

imToken: BTC & ETH Wallet

IMTOKEN PTE. LTD.

Finance免费v2.20.0
App Store
评分

4.2

1,113 条评分

星级

★★★★☆

最近更新

2026年5月6日

发布日期

2018年6月7日

更新内容

v2.20.0

- Support for TRON TIP-712 signing for enhanced security - Support for sending USDT without TRX for easier transfers - More bug fixes and performance improvements

应用信息

开发者
IMTOKEN PTE. LTD.
分类
Finance
价格
免费
版本
2.20.0
App ID
1384798940

简介

imToken is a reliable Web3 digital wallet trusted by tens of millions, enabling easy access to 50+ major networks including Bitcoin, Ethereum, TRON and TON. Confidently Access Your Tokens ● Access 800,000+ tokens across 50+ blockchains - Bitcoin, Ethereum, TRON, Polygon, TON and more. ● Send and receive popular ERC-721 & ERC-1155 NFTs seamlessly ● Comprehensive security features including offline storage, hardware wallets, pin codes, biometrics and more. Explore Layer 2s and Connect to Web3 ● Access 10+ Layer 2 networks like Optimism, Arbitrum, Scroll, zkSync, and Linea to enjoy faster and cheaper transactions. ● Discover and use popular DApps like Uniswap, OpenSea, and Compound to maximize token utility with our DApp browser ● Connect securely to TON DApps via TON Connect and explore the growing TON ecosystem ● Use the imToken Card — a multi-currency Mastercard that supports top-ups and payments with ETH, USDT, and other tokens. Diverse Account Management ● Efficiently manage multiple accounts across various networks within a single wallet using a set of mnemonic phrases. Additionally, create multiple independent accounts within the same network. ● Easily generate and manage up to 100 accounts, with the flexibility to add, delete, and customize tags for each account. ● Enjoy direct access to Layer 2s and EVM-compatible chains with one-click switch. Contact us: Website: https://token.im Discord:https://discord.com/invite/imToken Twitter:https://twitter.com/imTokenOfficial

下载量预测

专业 · 预览

预估总下载量

148K111K223K
保守估计乐观估计

1K

低 / 月

2K

预估 / 月

2K

高 / 月

基于1,113 条评分
假设评分率0.8%
应用年龄97 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。