Risk.

Stop loss explained — what it actually is, the four legitimate placement methods, and the mistakes that have nothing to do with strategy.

Prop firms have become a normal route into trading capital for retail-scale traders, with all the complications that brings. An honest look at the model, the pass rate ranges, the patterns we see in passers and failers, and the math that decides whether the structure is fair.

The retail temptation around Fed days, NFP, and CPI prints is to trade the spike. The pro move is to use macro events as context for restraint, and to model the second-order effects across asset classes. A framework, not a signal set.

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.

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.

Risk of ruin is the math underneath every trading career. Most retail traders have never sat with it. This is the long-form guide we use inside Tradoki to make the math unavoidable.

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.

AI live-trading bots blow up for the same reason they look attractive: they remove the human checkpoint that survives regime change. Here is what we have observed, and the narrower set of AI uses that hold up.

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.

Liquidity sweeps are not the market hunting your stop. They are a structural feature of how price discovers resting orders — and why retail keeps walking in.