Every figure, level and behaviour this video puts on screen, chased to a source.
The video makes two kinds of statement, and they are held to different standards here.
Definitions are settled by what the terms mean, and are recorded below with a reference that states them.
Behavioural claims are the ones that could be wrong: that orders collect around visible prices, that stops sit just beyond a level rather than at it, that triggering a cluster of them can produce a fast move. Those are the claims the video’s whole argument rests on, and they are supported below by published research on the actual order books rather than by trading folklore.
Previous day high is the highest price traded in the prior session; previous day low is the lowest. Both are read off the completed prior session and are fixed for the whole of the following one, which is what makes them the two reference prices in a session that every participant computes identically.
Nothing about that is contested, and the video claims nothing more for it than visibility.
This is the video’s central factual claim, and it is the one with direct evidence.
Carol L. Osler examined a large sample of live currency orders and found that the prices traders choose for them are not spread evenly. Take profit orders cluster at round numbers. Stop loss orders cluster just beyond them, rather than at them. The clustering is asymmetric, and it is strong enough that price behaviour around those levels is predictable in a way that would otherwise be hard to explain.
That is exactly the picture the video draws above yesterday’s high: entries and stops resting a little way beyond a visible price, and profit taking sitting at it.
The claim that this positioning can then move price quickly is a separate finding, and it is also measured rather than asserted. Osler’s later work shows that exchange rate moves are unusually rapid at the levels where stop loss orders are documented to cluster, that the response to triggered stop losses is larger than the response to take profit orders, and that the effect persists rather than reversing within the hour. Her conclusion is that stop loss orders propagate trends and are sometimes triggered in waves, contributing to price cascades.
That is the mechanism behind the video’s failed breakout: the sharp move is not the level doing something, it is the positioning at the level unwinding.
Both papers are on currency markets. The video’s framing is general across instruments, and the underlying reason the clustering happens, that a price everyone can compute attracts the orders of everyone who computed it, is not specific to foreign exchange. It is nonetheless a currency market finding, and that is recorded in the caveats below rather than smoothed over.
The distinction the video draws between price crossing a level and price staying beyond it is the acceptance idea from Market Profile, developed by J. Peter Steidlmayer at the Chicago Board of Trade and published by the exchange from 1985. In that framework a move away from established value is only meaningful once trade actually takes place at the new prices for a sustained period; a brief excursion that returns is the market rejecting them.
The opening range the video describes, the high and low made during the first block of active trading, is the same framework’s initial balance: the range established at the start of the regular session, classically the first hour, which in the original grain futures profiles is the first two thirty minute periods.
The video is explicit that the exact block length is a convention rather than a property of markets, and the shot showing it steps through five different block lengths for that reason. No length is presented as correct.
Every chart in this video is an invented price series, generated to show a particular mechanism: a break that holds, a break that fails, a sweep that reclaims, a session that coils under a boundary. Each shot says so in the bottom left of the frame.
The levels, ranges, distances, ratios, percentages and bar counts printed on those charts are computed from that series rather than typed in, so what is drawn and what is printed cannot disagree. None of them describes a real session, a real instrument or a real trade, and the video makes no claim that any of them happened.
No win rate, hit rate, expectancy or backtest result appears in this video, in the narration or on screen. That is deliberate: those are the claims that would need real data, and the video does not make them.