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WZRD FUND.

My role at WZDR spanned both strategic and technical domains, involving networking and analytical team management on one hand, and the hands-on development of automation frameworks for portfolio management on the other.
Below are technical projects:

1. Smart Money Tracking & Automated Trading System

Built infrastructure for tracking crypto narratives and executing trades based on on-chain wallet intelligence.

Architecture
  • Data Ingestion Layer: In-house database with Nansen API integration for real-time wallet tracking—monitoring 10,000+ "Smart Money" addresses (funds, whales, market makers) across multiple chains.
  • Signal Engine (Python/Pandas): Pattern detection across tracked wallets—clustering buy/sell behavior, volume anomalies, token accumulation phases.
  • Execution Layer: Multi-wallet trading bots for DEXs (Jupiter, Uniswap) and CEXs (via exchange APIs), capable of triggering coordinated buys/sells across thousands of wallets when patterns emerge.
  • Database: TimescaleDB for time-series wallet activity, Redis for real-time signal caching.
Tech Stack
  • Python, Nansen API, Web3.py, CCXT (CEX integration), TimescaleDB, Redis, Celery

2. Airdrop Farming System (Hyperliquid Case Study)

Designed multi-wallet airdrop farming infrastructure with anti-Sybil obfuscation to simulate organic user behavior.

Obfuscation Strategies
  • Unique fingerprints: Rotating residential proxies, unique browser fingerprints per wallet.
  • Activity randomization: Staggered wallet creation dates, varied deposit amounts/timing, randomized transaction patterns.
  • Organic behavior simulation: Diverse protocol interactions (trading, LP provision, lending/borrowing), natural timing delays, varied transaction sequences.
Hyperliquid Farming Pipeline
  • Automated perpetual trading volume generation across wallets on H1 order book.
  • High-frequency trading coordination for weekly points maximization.
  • Wallet activity scheduling to avoid pattern detection.
  • Points tracking dashboard and distribution optimization.
Tech Stack
  • Python, Playwright (browser automation), Bright Data (proxies), PostgreSQL, custom scheduling engine

3. Alpha Sourcing System — Twitter/X Network Intelligence

Built social signal detection system monitoring 3,000+ crypto-focused Twitter/X accounts (fund managers, angels, incubator partners) for early project discover (we usually saw signals before public announcements—often weeks ahead of Crypto KOLs coverage).

System Design
  • Account Watchlist: Curated list of influential accounts: Crypto funds managers,associates, angel investors, incubator managers, etc.
  • Follow Graph Crawler (X API + Tweepy): Polls following lists at intervals, detects when multiple tracked accounts start following the same new account simultaneously.
  • Signal Extraction: When convergence detected—scrapes new account's bio, website, pinned posts, recent announcements.
  • Alert Pipeline: Discord notifications with extracted project info, links, and follower overlap score.
Tech Stack
  • Python, X API, Tweepy, PostgreSQL, Celery, Discord Bot API