Poocoin Multi Chart

PooCoin is a defi analytics and tracking platform focused on real-time market data for tokens and multi-chain ecosystem like Polygon and KuChain. live real time chart, portfolio & wallet tracking,token analytics and insights, dex swap integration, risk & scam detection.

Trading Infrastructure
Performance-Sensitive Systems
Poocoin Multi Chart - Roswelly Rust / smart contract project screenshot
Status: Active

Project Overview

PooCoin is a defi analytics and tracking platform focused on real-time market data for tokens and multi-chain ecosystem like Polygon and KuChain. live real time chart, portfolio & wallet tracking,token analytics and insights, dex swap integration, risk & scam detection.

PooCoin Multi-Chart is a real-time DeFi analytics and tracking platform covering BNB Chain, Polygon and other EVM ecosystems. The core challenge was ingesting high-frequency price updates across thousands of pairs and serving them to a multi-chart UI without latency spikes.

I built the backend ingestion path around Node.js, Redis, and PostgreSQL with Socket.io streaming, implementing incremental caching and rate-limited upstream queries so charts stay fresh without hammering RPC providers. Risk and scam-token detection heuristics run continuously so traders see warnings alongside price action.

Technical Implementation

Architecture

A modular architecture cleanly separating on-chain programs, low-latency data ingestion, and the user-facing app. On-chain code is written in Rust or Solidity with strict test coverage; off-chain services run on Node.js / Rust backends with Redis and PostgreSQL for hot and durable state respectively, containerized for reproducible deploys.

Smart Contracts

Programs are implemented in Rust with the Anchor framework on Solana, or in Solidity on EVM chains, with strict access control, exhaustive error handling, and gas / compute-unit optimization. Every state transition is covered by unit and integration tests before mainnet deployment.

Performance & Reliability

Where the project is performance-sensitive, the hot path is optimized end-to-end: zero-copy parsing, connection pooling, Redis-backed caches, Jito / Nozomi inclusion for Solana, and careful batching for EVM. Monitoring and alerts cover latency, inclusion rate, and PnL so regressions surface immediately.

Technologies Used

BNB
Web3.js
Socket.io
Zustand
Tanstack Query
Trading View
Chart.js
MongoDB
PostgreSQL
Node.js
Express
Redis
RESTful API

Project Links