SYSTEMATIC TRADING / LOCAL AI / PUBLIC NOTEBOOK
I build and test technical systems across systematic trading, local AI infrastructure, and agent-assisted development. This site records the experiments, guides, benchmarks, and decisions behind the work.
Local AI
Hardware guides, tooling notes, benchmarks, and practical local-first AI infrastructure.
A concise guide to the M3 Ultra Mac Studio, M4 Max Mac Studio, and M5 Max MacBook Pro for local LLMs, including real benchmarks, current and used pricing, MLX and Metal software, Thunderbolt clustering, and an estimate for a possible M5 Ultra.
Selected research
Notes on market behaviour, execution, risk, and systematic edge.
After the expansion-filter research, I tried to attack the drawdown problem more directly by detecting consolidation and filtering it out. The visual idea still makes sense, but the first binary versions were too thin to separate the bad loss clusters cleanly.
Selected projects
Tools for testing ideas faster, keeping evidence clean, and making research repeatable.
active
Python / MQL5 / MT5
A research framework for hypothesis intake, AI-assisted MQL5 implementation, parallel MT5 backtesting, evidence review, and experiment lineage.
Built around structured hypotheses, reproducible test runs, versioned evidence, and reviewable agent-assisted implementation.
Recent writing
A long-form record of questions, observations, experiments, and changing beliefs.
No essays published yet.