Writing
Notes on risk, automation, edge validation, and the move from retail screen time to running a fund. The through-line is simple: a trading idea is only useful if the system can keep proving it deserves capital.
Research, execution, risk, and feedback loops belong in one system. Most notes here come from that operating view.
Longer educational pieces live at Young Money Investments.
Strategy
How the KPL Algorithm Was Built: Six Years of Developing a Futures Trading Edge
Read at YMI ›
Strategy
KPL Levels in Action: Real Examples of How Key Price Levels Work
Read at YMI ›
Automation
NinjaTrader Automated Trading Bots: A Beginner's Guide to Algo Trading Futures
Read at YMI ›
Automation
Realistic Expectations for Trading Bots: What Automated Strategies Can and Can't Do
Read at YMI ›
More public education lives in the Young Money Investments blog archive.