Inspiration

The crypto trading ecosystem is currently a "dark forest" where fragmented data across Centralized (CEX) and Decentralized (DEX) exchanges makes it nearly impossible to verify a trader's true performance. Influencers often exploit this lack of transparency with manipulated screenshots. Arena was born to bridge this gap, using AI to orchestrate data from 20+ global sources into a single, unforgeable trust metric.

** What it does**

Arena acts as a Financial Intelligence Layer that aggregates real-time positions and PnL data from 20+ leading protocols, including Binance, OKX, Hyperliquid, and dYdX. By leveraging Machine Learning algorithms, Arena audits these raw data streams to filter out noise and calculate the Arena Score—a verified reputation score that reflects a trader's actual risk-adjusted performance.

** How I built it**

As a solo developer, I built a full-stack architecture focused on high-frequency data ingestion:

  • Data Engine: A Node.js backend that scrapes and normalizes non-structured JSON from 20+ exchange APIs.
  • AI Logic: An intelligence layer that processes raw trading sequences to identify strategic patterns vs. reckless gambling.
  • Tech Stack: Developed with Next.js, Supabase, and Capacitor to provide a "web2-smooth" mobile-first experience.

Future Impact

Arena aims to become the standard reputation protocol for Web3 social trading. By providing a transparent, AI-audited leaderboard, we protect retail users from fraud and empower elite traders to monetize their verified skills through a decentralized trust layer.

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