CoinScan is a blockchain analytics platform that aggregates real-time data on cryptocurrency trading, including transaction volumes and liquidity across multiple networks like Ethereum and Solana. It addresses the challenge of information overload in crypto trading by providing users with clear insights into trending tokens and market dynamics, enabling informed investment decisions.
Funding
$6.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The cryptocurrency market is characterized by a deluge of real-time trading data spread across numerous blockchain networks, making it difficult for traders to identify promising tokens and understand market trends. This information overload hinders informed investment decisions and increases the risk of missing profitable opportunities.
Solution
CoinScan is a blockchain analytics platform designed to consolidate and analyze real-time cryptocurrency trading data from multiple networks, including Ethereum, Solana, and BSC. The platform provides users with clear, actionable insights into trending tokens, liquidity pools, and transaction activity. By aggregating data and presenting it in an accessible format, CoinScan empowers traders to quickly identify emerging opportunities, assess market dynamics, and make data-driven investment decisions.
Target Audience
CoinScan primarily targets cryptocurrency traders, investors, and analysts who need real-time market intelligence to make informed decisions in the rapidly evolving digital asset landscape.
Features
- Real-time aggregation of trading data across multiple blockchain networks (e.g., Ethereum, Solana, BSC)
- Identification of trending tokens based on volume, transaction count, and price movement
- Liquidity pool monitoring to assess market depth and potential slippage
- Tracking of new token pairs to identify early investment opportunities
- Customizable filtering and sorting options to refine data views
- Historical data analysis for identifying patterns and trends