There's a persistent myth that automating a trading strategy makes it profitable. It doesn't. Automation doesn't fix a bad strategy — it just removes execution error from whatever strategy you already have, good or bad.
What it actually buys you is consistency. A human trader who's down for the day might revenge-trade, move a stop-loss to avoid taking a loss, or size up out of frustration. A system with fixed rules does the same thing every time regardless of how the last trade went — no fear, no greed, no story it tells itself about why this trade is different.
That consistency is valuable, but it isn't the same as an edge. A fixed set of losing rules, executed perfectly and without emotion, is still a fixed set of losing rules. The rules themselves have to be validated — backtested out-of-sample, tested against real fees and slippage, and proven on live fills — before consistency becomes an advantage instead of just a faster way to lose money the same way every time.
This is also why leverage doesn't equal skill. More leverage just multiplies whatever edge (or lack of edge) is already there — it doesn't create edge that wasn't present in the underlying rules.
So when we talk about our own systems, we try to be precise about what's actually being claimed: not 'this makes money,' but 'this executes a fixed, tested rule set without emotional deviation.' Whether that rule set has a real edge is a separate, much harder question — and one we think you deserve an honest answer to, not a marketing one.