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Less humanity. More algorithm.

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Quant Trading
Building AI trading systems. Live results, real losses, every step documented.
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The tools that make this possible — what works, what doesn't, what I actually use.
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Markets, technology, and what it means to be human in an algorithmic world.

Latest Posts

Exits Matter More Than Entries. Here's My Four-Path Exit System.

I spent more time designing exits than entries. Where you put the stop, how you trail it, when you decide the signal is gone — that's where P&L is made.

13 NaN Features. Same Code. Different Data.

Every inference run had 13 NaN features. I knew. I ignored it. Turns out those features carried 12% of model importance.

Day 3: The System Fixed Itself (After We Fixed the System)

Equity went from $701 to $928 in a single day. Not because the market was kind. Because the data was finally clean.

How I Organize My AI Agent's Long-Term Memory

Context windows fill up. Sessions reset. Here's the file architecture I built so my AI agent never forgets what matters — and never reads what it doesn't need.

My Trailing Stop Was Running. It Just Never Fired.

6,500 lines of live code. 28 audit dimensions. The trailing stop updated state every bar. The exit check was simply missing.

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