![The Consistency Rule Specifically Targets Trend-Following: What 10,000 Runs on a Real EA Showed [Opinion]](/og/en/consistency-rule-simulation-2026.png)
We connected a real EA to Fintokei's server and compared over-trading, trend-following, and one-sided betting with risk sized equally. Without a consistency rule, trend-following wins outright (70.4%), but the more profit concentrates in big wins, the harder it gets cut down — the purest trend-following setup dropped to a 0.0% pass rate at a 20% threshold. This gives a structural explanation for the observation that "winners cluster at firms with loose consistency rules."
![Does Averaging Down Beat the Consistency Rule? What a Real EA Backtest and a Rulebook Review Actually Show [Opinion]](/og/en/nanpin-consistency-rule-2026.png)
Averaging down (nanpin/DCA) turned out to be genuinely immune to the consistency rule. But at a 13.2% pass rate, it's useless on its own. Adding a stop-loss raises that to 41.2% while keeping the immunity — but it still falls short of trend-following's 52.9%. Checking the actual rulebooks, what's banned isn't averaging down itself — it's doubling your lot size.
![[Beginner's Guide] What Is Prop Account Rotation? Why Dropping the 'All-In on One Account' Habit Raises Your Survival Rate](/og/en/prop-firm-account-rotation-beginners.png)
A beginner-friendly guide to 'rotation trading' — the way out of the trap of going all-in on one account and blowing it on a drawdown breach. Run several challenges at once, keep funded accounts on the bench, and activate them one at a time. A gentle walkthrough, with a diagram and step-by-step process, for building payouts steadily without letting emotion take over.

A guide to the trading hours that matter for prop firm challenges. Why the London-NY overlap (from around 22:00 JST) is best, the optimal hours per currency (USD/EUR/JPY), what to avoid — rollover, thin liquidity, the 2 minutes around news — plus JST conversion and daylight saving time pitfalls, all backed by volume and volatility data.

A blueprint for passing a prop firm challenge, built on primary overseas data (FPFX, official FTMO sources, Swiset). Covers risking 0.5-1% per trade, sizing lots backward from an assumed losing streak, how to use the daily loss limit, and why you shouldn't rush the profit target — concrete ways to build the 'discipline' that raises your pass rate.

Passing isn't the finish line in prop trading — only about 7% of traders who reach Funded actually get paid (FPFX, 300,000 accounts). Explained with overseas data: the trailing-DD trap, the flow of your first payout, how consistency rules hold payouts hostage, scaling conditions, and how to maximize payouts.
![High-variance strategies are the ones suited to prop firms | Why you should deliberately NOT bring a low-variance edge like goto-bi trading [Opinion]](/og/en/prop-firm-high-variance-strategy-fit.png)
A prop firm's payoff is like a call option: losses are capped at the challenge fee, while the upside is large once funded. That's why a strategy's variance (volatility) becomes an asset. Meanwhile, a low-variance, high-win-rate edge like goto-bi trading doesn't need insurance — you're better off running it with your own capital. This piece works through that structure.

A science-based look at prop trading psychology: the brain mechanism that makes you take on too much risk after a loss (cortisol +70%), peer-reviewed data showing that traders who trade more lose more, "if-then rules" that beat willpower, and how to avoid outcome bias by judging yourself on process. Reproducible fixes, not motivational talk.

An analysis, using overseas data, of which trading styles pass prop evaluations more easily. Covers the strengths and weaknesses of trend-following, breakout, range, and mean-reversion strategies, cautions for scalping/swing trading, how to think about win rate × RR, and prohibited strategies. Explains why disciplined, consistent execution of a validated edge matters more than which strategy you pick.

Explains the prop firm consistency rule from the formula up: the difference between 20%/30%/40% thresholds, which firms use it, and lot-sizing and day-spreading techniques to avoid violating it.