The claim

Many traders read a range full of swept highs and lows as accumulation: liquidity being built up before a large expansion.

How we tested it

We measured 656,524 contained ranges on NQ, ES, Bitcoin, Ether, EURUSD and gold (1.4 to 8.7 years each), on 5-minute to 4-hour charts, with windows of 30, 60 and 120 bars. A sweep was a swing high or low that price traded through and then closed back inside within five bars; there were more than 253,000. Every window was compared with a surrogate series that keeps each market's real volatility but randomises direction (656,530 windows).

What we found

Ranges with many sweeps expanded 2.37 ATR more than ranges with few. The surrogate, where direction is a coin flip, showed +2.59 ATR. The driver was width: wider ranges hold more swings (r = +0.309) and are followed by bigger moves (r = +0.186), with or without any market structure.

Holding width and duration fixed, the sign reversed. More sweeps meant a slightly smaller move afterwards, −0.370 ATR on average, and the surrogate showed −0.437 ATR. Across 64 market, timeframe and window cells, real minus surrogate averaged +0.077 ATR (t = +0.51).

Direction didn't help either. All ranges resolved upward 51.48% of the time, which is the markets' drift, and ranges with many sweeps 51.60%: +0.12 points (z = +1.37). Sweep counts formed one smooth distribution, so 'accumulation' is a percentile of that distribution, not a separate state of the market.

What to do with it

On this evidence, a range that has been swept repeatedly is not charged for a bigger move. Where wide ranges are followed by big moves, the width is doing it, and width is something you can measure directly.

Limits

This measured the expansion and direction after a range, not a defined trade with a stop and target. Gold had only 1.4 years of data and produced both the best and the worst cells.

Education only, not financial advice. These are measurements of past data, not a forecast or a signal.