Kyle Wu
FinTech Builder / Crypto Market Research / Trading Systems

Bridging theoretical models and executable edge in crypto markets.

FinTech Builder & Researcher. I build applied trading infrastructure and study market microstructure, focusing on execution quality and risk-aware automation.

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Selected Projects

Recent work focusing on execution workflows and market structure analysis.

Screenshot / Demo Area
Trading Infrastructure·2026·Public GitHub project

Kaiyn Trading Bot

Production-style Telegram trading signal execution workflow.

A Telegram-based execution workflow for crypto trading communities, designed around confirmation-first order flow, fixed-risk sizing, exchange-rule validation, encrypted API credentials, PostgreSQL-backed state, audit records, and Docker-first deployment.

  • ▹Transforms Telegram trading signals into a structured execution workflow.
  • ▹Uses confirmation-first execution and fixed 1R risk sizing.
  • ▹Includes encrypted API credential storage, audit trails, backups, and CI checks.
  • ▹Designed as a production-style workflow rather than a profit-guaranteeing trading bot.
PythonTelegram BotPostgreSQLDockerBitget APIRisk ControlsCI/CD
Landing PageGitHub
Screenshot / Demo Area
Market Microstructure Research·2026·Public research lab

Prediction Market Execution Lab

Testing executable edge in Polymarket BTC short-horizon markets.

A public fintech and market microstructure research lab studying whether apparent short-horizon prediction-market pricing edge can survive real execution frictions such as spread, fill probability, latency, position limits, and settlement outcomes.

  • ▹Separates theoretical pricing edge from executable edge.
  • ▹Includes public-safe sample data, research reports, notebooks, and a live dashboard.
  • ▹Analyzes execution funnel, probability calibration, ML filtering, and risk simulation.
  • ▹Explicitly avoids profitability claims and private execution-sensitive details.
PythonStreamlitPolymarketMarket MicrostructureExecution QualityProbability ModelingResearch
Portfolio PageDashboardGitHub

Background

I am a crypto trader, fintech builder, and incoming MSc Financial Technology student at Warwick Business School. My work focuses on the intersection of trading operations, market structure, risk management, and applied software engineering.

I have built public projects around Telegram-based trading signal execution and prediction-market execution research, with an emphasis on workflow design, execution quality, public-safe research communication, and risk-aware automation.

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Focus Areas

01

Trading Infrastructure

Telegram workflows, exchange API integration, execution confirmation, credential security, state management, and audit trails.

02

Market Microstructure

Spread, fill probability, latency, short-horizon markets, settlement outcomes, and the gap between theoretical and executable edge.

03

Applied Research

Public-safe datasets, notebooks, research reports, probability calibration, ML diagnostics, and risk simulation.

04

Product & Community

Crypto trading education, community operations, user workflow design, and risk-aware product decisions.

Let's Talk

For collaboration, fintech research, trading infrastructure, or product discussions, feel free to reach out.

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