Fixed stop losses, percentage stop losses, ATR stop losses, structure-based stops, and trailing stops can all be valid.

The important question is not which one sounds smarter. The important question is whether the stop loss matches the strategy, timeframe, asset behavior, and position sizing logic.

A scalping setup, a trend-following setup, and a swing trade can all need different invalidation rules. A stop loss should express the idea of the trade, not just decorate the order ticket.

I base my stop losses mostly on ATR-type logic.

ATR is not magic, but it has one big advantage: it reacts to volatility. When the market is quiet, the stop can be tighter. When the market is moving wider, the stop can give the trade more room.

That matters because the same visual setup can behave very differently in a calm session compared with a volatile news-driven session.

A fixed stop loss is simple: the trade always gets the same distance, such as 10 points, 50 pips, or a fixed dollar amount.

I would personally avoid fixed stop losses for many strategies because volatility changes. A distance that is reasonable today might be far too tight tomorrow, or unnecessarily wide during a quiet regime.

The simplicity is attractive, but the market does not promise to keep moving in the same rhythm just because our rule is easy to remember.

Percentage stop losses are better than fixed distances in one important way: they scale with the price of the asset.

If an asset trades at 1 dollar, a 10% stop loss is a 0.10 dollar move. If the asset grows to 2 dollars, the same 10% stop loss becomes a 0.20 dollar move.

That makes percentage stops more adaptive than a fixed price distance. They can work especially well when trades are opened and closed repeatedly instead of holding one position forever.

Another common approach is to place the stop around market structure: below a swing low, above a swing high, beyond support or resistance, or past a level that would invalidate the setup.

This can make a lot of sense because the stop is tied to the trade idea itself. If price breaks that structure, the reason for the trade may no longer exist.

The weak spot is that structure-based stops can become subjective. Two traders can look at the same chart and choose different levels, so the rule needs to be written clearly if it belongs in a system.

Trailing stops and time-based exits are also useful in some systems.

A trailing stop can protect profit as the trade moves in the right direction, while a time stop can close a position when the market has had enough time to prove the idea and still has not done it.

Those rules are not better or worse by default. They are tools. They only become good when they fit the behavior the strategy is trying to capture.

For Quantarya, the stop-loss type should be visible in the trade record.

If the system knows whether the stop came from ATR, a percentage rule, a fixed distance, structure, or a trailing rule, then the lifecycle review becomes more honest.

Over time, that makes it possible to compare not only win rate, but average loss, drawdown, drawup, reward-to-risk ratio, and whether one stop style performs better for a specific symbol, session, or timeframe.

My personal preference is ATR-based stop losses because volatility changes and I want the stop to move with the market's current behavior.

I would avoid fixed stops in many cases, and I see percentage stops as a reasonable improvement because they scale with the asset price.

This is not financial advice. It is a process opinion: choose the stop-loss style that matches the strategy, then track the results honestly enough to know whether it actually works.