Ernie's Leisure Code
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Posts

  • Jul 3, 2026

    OWASP WebGoat: A Comprehensive Learning Guide

  • Jul 2, 2026

    Claude Code Developer Cheat Sheet: Setup, Commands, Agents, MCP, and Safe Automation

  • Jul 1, 2026

    Choosing Claude Models in 2026: Fable, Opus, Sonnet, Haiku, and Effort

  • Jun 29, 2026

    In-Depth Research Report on the State of PHP

  • Jun 27, 2026

    AI Bubbles?

  • Jun 24, 2026

    How LLM Benchmarks Work

  • Jun 21, 2026

    Sharpe Ratio: Definition, Formula, and Examples

  • Jun 19, 2026

    OpenCode and BigPickle: Open-Source Coding Agent and Free Stealth Model

  • Jun 17, 2026

    In-Depth Comparative Report on Claude Mythos and Claude Fable

  • Apr 12, 2026

    State of AI Agents 2026: Exhaustive Market, Technical, and Architectural Analysis

  • Mar 28, 2026

    Daily Crypto Market Brief - Crypto Market Stabilizes Amid Mixed Signals

  • Mar 27, 2026

    Daily Crypto Market Brief - Crypto Pullback Amid Fear and Regulatory Shifts

  • Mar 26, 2026

    Daily Crypto Market Brief - Crypto Pullback Amid Regulatory Pressure

  • Mar 25, 2026

    Daily Crypto Market Brief - Crypto Rebound, Regulation, and Risk

  • Mar 24, 2026

    Daily Crypto Market Brief - DeFi Shock, Slow Grind

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Ernie's Leisure Code

  • Ernie's Leisure Code
  • ernie55ernie@zohomail.com
  • ernie55ernie
  • b01505025

Ernie Chang is a quantitative researcher and PhD candidate working at the intersection of high-frequency trading, market microstructure, and machine learning. His work spans execution-aware alpha modeling, reinforcement learning for trading strategies, and adversarial perspectives on network security, with publications in leading IEEE venues.