Trading infrastructureActive
Go Backtester
A custom backtesting engine built for strategies that stopped fitting neatly inside off-the-shelf Python frameworks.
2 connected postsTags / Trading
Trading infrastructureActive
A custom backtesting engine built for strategies that stopped fitting neatly inside off-the-shelf Python frameworks.
2 connected posts
I used ChatGPT to backtest an EMA + ATR system with stop-loss, slippage, commissions, take-profit, and real P&L tracking.
Manual backtests build feel, but code (or AI tools) helps you test faster and uncover deeper insights.
Outgrew Python tools, built my own Go backtester. Here's what I learned about speed, scale, and tradeoff.

A practical roadmap to trading mastery - how top performers outgrow edge alone through mindset, tools, and refined execution.

Tilt happens to every trader. Learn to spot it early so you can stay in control and improve performance.

Explore how the Gold-Silver Ratio reflects market psychology, economic sentiment, and its relevance to traders navigating uncertain times.

Tired of trading journals you never finish? Try audio and video journaling with NotebookLM (AI) summaries for deeper insights, faster reviews, and less burnout.

Learn how to use pullbacks within trends to refine trade entries, manage risk, and distinguish retracements from reversals.