Do Not Walk Where the Demons Feed: On Mental Recovery and Trading Discipline
After a month of rest, training, and distance from constant pressure, I felt cognitively fast again. The lesson was not simply that rest helps.…
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The Almanack
Research, engineering notes, market experiments and ideas.
Human First, Machine Second: Why I Draft With Pen and Paper
In an era of algorithms, autocomplete and AI, I am deliberately putting a notebook between my thoughts and the machine.
Read ArticleModern C++ Multithreading: What I Learned About Threads, Mutexes and Async Execution
I have been going deeper into modern C++, and this week my focus is multithreading and concurrency. For trading systems, game engines, real-time applications…
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Rethinking Prompts for GPT-6 Astra: What Four Coding Runs Revealed
They said the prompting has changed. I checked it, so you don't have to. Four coding agents running on a real WordPress feature produced…
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Graph Neural Networks in Trading: How GNNs Model Market Relationships
An educational guide to graph neural networks, why they fit connected financial markets, and how GNNs can be used in trading research with proper…
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The Significance of Weights in Neural Networks
A practical explanation of neural network weights, why they matter during training, and how small, large, positive, and negative weights compare.
Read ArticleMarkov Chains in AI and Finance: A Practical Introduction
A practical introduction to Markov chains, how they model state transitions, and why they matter for AI, market regimes, trading research, and financial risk…
Read ArticleTypes of Reinforcement Learning in Training
A clear guide to the main types of reinforcement learning used in AI training, including value-based, policy-based, actor-critic, model-based, on-policy, off-policy, and deep RL…
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AI #2 Why Most AI Trading Strategies Fail
abstract fire style background Why Most AI Trading Strategies Fail (And What Actually Survives) There’s a quiet graveyard of AI trading systems. Beautiful notebooks.Impressive…
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AI #1 Real Edge in AI
The Real Edge in AI Isn’t Models — It’s Infrastructure Everyone is obsessed with models. GPT-4.Claude.LLaMA.Mixtral.Bigger parameters.Better benchmarks. But here’s the uncomfortable truth: The…
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