
Trading myths the data keeps debunking
There are a handful of trading myths that survive every cycle, every market regime, every educational fad. The data on each of them is unflattering. Here is the short list.

There are a handful of trading myths that survive every cycle, every market regime, every educational fad. The data on each of them is unflattering. Here is the short list.

An honest, comprehensive starting point for anyone considering active trading in 2026 — what to expect, what not to believe, what to learn first, and what the data on retail outcomes actually says.

Trading psychology gets sold as breathwork, affirmations, and books that are mostly anecdote. The actual problem is mechanical. Here is what I think the pop-science version misses.

Solo trading courses have low completion rates. The cohort model — fixed start date, fixed peers, fixed end — is how Tradoki gets students to the finish line. Here is the design and the data behind it.

What the eight weeks of the Tradoki curriculum actually contain — week by week, with the assignments, the live sessions, and what we have changed since cohort one.

Selling signals is the easiest revenue model in trading education. We chose not to. Here is the long-form reasoning, and why I think the choice is the most important one we have made.

The ten-month story of why Tradoki exists, what we tried first, what we threw away, and the specific decisions that shaped the company we ended up running.

The 'AI trading signals' market sells subscriptions to systems that have no live edge. The data we have collected over twelve months is unflattering enough that I will say it directly.