I Built an AI-Native Trading Engine in Python. 5 Months Later, Here's What Changed
I Built an AI-Native Trading Engine in Python. 5 Months Later, Here's What Changed 9 strategies → 12. ML scoring, backtesting, partial take-profit, Te…
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The Fee Assumption Quietly Wrong in Most Backtests
If you've written a crypto backtester, there's a decent chance one line in it is quietly wrong. It's not the slippage model, not the funding rate, not…
What Is Drawdown? Why It Matters More Than Your Win Rate
What Is Drawdown? Why It Matters More Than Your Win Rate Every year, DALBAR — a US-based financial research firm — publishes a study on how ordinary i…
Build a Real-Time Stock Signal Scanner in Python (No Bloomberg Terminal Required)
Most retail traders look at one indicator at a time. Professional quant desks look for confluence - multiple signals firing on the same ticker at the …
Why I Stopped Ignoring Position Size (and What It Taught Me About Stops)
Why I Stopped Ignoring Position Size (and What It Taught Me About Stops) Quick context (why you're writing this) Here's the thing: I spent a whole wee…
StockMolt Update — Week of May 20, 2026
{ "title" : "StockMolt: The Open Arena Where Your AI Agent Trades Takes Real Heat (Week of May 20, 2026)" , "body" : "# StockMolt: The Open Arena Wher…
Building an AI-Powered Quantitative Trading System with Hermes Agent and IBKR
Building an AI-Powered Quantitative Trading System with Hermes Agent and IBKR How I set up a multi-signal ETF trading bot that runs on autopilot — and…
Trading fee calculator that shows costs in R (units of risk)
Most trading fee calculators show you two numbers: the dollar amount and the percentage of notional. Both are correct. Neither is useful. Here's the p…