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Field notes from building live trading systems and intelligent workflows — what LLMs are actually good at, where deterministic code wins, and how the two fit together.
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Can You Actually Use LLMs in Trading? Mapping AI to the Full Trade Lifecycle
Understand how to apply LLMs in trading — not to predict prices, but to bring reasoning, context, and conviction into algorithmic systems.
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AI Trading
LLMs for Contextual Veto decisions. Entry or No Entry Discipline.
Dec 11, 2025
Contextual Signal Vetting and Event-Triggered Reasoning — The Twin Engines of AI Discipline
Nov 21, 2025
LLM-Driven Risk and Performance Feedback Loops — Building Systems That Learn Discipline
Nov 19, 2025
LLM Cost Optimization and Efficiency Architecture — Thinking Smarter, Not Pricier
Nov 15, 2025
Meta-Prompt Engineering and Adaptive Reasoning — Teaching LLMs to Evolve With the Market
Nov 13, 2025
LLM-Driven Trade Journaling and Performance Memory — Turning Every Trade Into a Teacher
Nov 7, 2025
LLM-Enhanced Execution Intelligence — Precision, Timing, and Context in Every Fill
Nov 3, 2025
Agentic LLM Coordination and Self-Evaluation Loops — Building Systems That Audit Themselves
Oct 28, 2025
The Philosophy of Agentic Trading — Human Oversight, AI Reasoning & The Discipline of Autonomy
Oct 15, 2025
Certifications · Medium archive
7 things to do after passing the Google Machine Learning Certification Exam
Oct 9, 2022 ↗
6 things you need to do if you’ve failed the Google Machine Learning Certification Exam
Oct 9, 2022 ↗
DevOps · Medium archive
Terraform: Creating multiple S3 buckets with a single resource
Jan 10, 2020 ↗
Deploying fast, serverless sites with AWS S3 and bitbucket.
Jan 21, 2019 ↗
AI Vision · Medium archive
Leveraging AI as a Service for Image Filters with Laravel
Aug 30, 2018 ↗