POI Sequencing
8 min read
Sequence points of interest to build a prioritized map of where price is likely to travel and react.
8 min read
Sequence points of interest to build a prioritized map of where price is likely to travel and react.
Not all points of interest are created equal. The order in which you prioritize them determines whether you catch the high-probability reaction or waste your attention on a dead zone.
A Point of Interest (POI) is any price level where reaction is plausible: order blocks (last opposing candle before a strong move, an SMC concept), fair value gaps (three-candle imbalances, covered in Imbalance Order Flow), liquidity voids (thin printed volume), prior swing highs/lows, or supply/demand zones. Most of this vocabulary comes from the ICT/SMC framework, whose empirical edge is debated; treat the labels as a hypothesis-generation tool, not proof. In any given session, your chart may have dozens of valid POIs across multiple timeframes.
POI sequencing is the discipline of ordering those zones by priority so you know which to watch first, which to skip, and which to trade. Without sequencing, you are staring at a cluttered chart with no actionable hierarchy.
The core principle: not every valid POI deserves your attention at this moment. Sequencing transforms a scattered map into a ranked queue.
Rank every POI across four dimensions. Each dimension adds or removes priority.
Higher-timeframe POIs outrank LTF for three mechanical reasons: (1) more participants see and remember the level, so reactive flow is broader; (2) institutions size positions on HTF charts, leaving genuine resting interest; (3) HTF zones survive more LTF noise, so a level still relevant on the daily has already been stress-tested. None of this guarantees a hold — it shifts the prior, not the outcome.
| Timeframe | Authority Level | Typical Use |
|---|---|---|
| Weekly / Daily | Highest | Directional bias, major reaction zones |
| 4H | High | Swing trade entries, key structure |
| 1H | Medium | Intraday setups, confirmation zones |
| 15m / 5m | Lower | Precision entries within HTF zones |
A 4H order block that aligns with a daily support level outranks an isolated 15-minute fair value gap every time.
Untested POIs are theorized to hold unfilled resting orders, so revisits should produce stronger reactions than retested zones. This is an SMC narrative — empirical hit-rate studies are sparse and noisy — but the rule is conservative enough to use as a sequencing tiebreaker. Each revisit degrades the zone:
If a POI has been visited three or more times without producing a clean reaction, treat the SMC 'liquidity consumed' assumption as good enough — demote the zone. You have no order-book proof, but the empirical pattern (decaying reaction strength) is consistent enough to act on. Remove it from your active queue unless new confluence appears.
A perfect POI that is 5% away from current price has no immediate relevance during a scalping session. Sequence by proximity:
A POI earns priority only when independent factors stack — independent meaning derived from different methods, not three names for the same level. A 4H order block that "aligns with" a fib level that "aligns with" a supply zone often is the same line three times. Don't double-count yourself into confidence.
Score confluence: +1 per genuinely independent factor stacked at the zone (HTF structure, LTF OB, FVG, round number, prior session H/L, fib level, HVN). A POI scoring 3+ outranks anything scoring 1; ties broken by timeframe authority.
Before each session, construct a ranked list. Here is a practical BTC/USDT example:
Scenario: BTC/USDT is trading at $94,800. You have identified the following POIs. (For ES futures, recalibrate the proximity bands: 0.1-0.3% proximal, 0.3-0.8% near, >0.8% distant — crypto's daily range compresses to roughly a quarter on index futures.)
| Priority | POI | Timeframe | Freshness | Distance | Confluence |
|---|---|---|---|---|---|
| 1 | $94,200 4H order block | 4H | Fresh | 0.6% | Aligns with daily FVG, round cluster |
| 2 | $95,500 1H supply zone | 1H | Fresh | 0.7% | Prior session high, equal highs above |
| 3 | $93,000 daily demand | Daily | Fresh | 1.9% | Weekly structure support |
| 4 | $96,200 4H FVG | 4H | Once-tapped | 1.5% | Isolated, no added confluence |
| 5 | $91,500 weekly OB | Weekly | Fresh | 3.5% | Strong but distant |
Your active focus is on ranks 1 and 2. Rank 3 gets an alert. Ranks 4 and 5 are noted but not actively monitored this session.
The most precise entries come from nesting -- using a lower-timeframe POI that sits inside a higher-timeframe zone.
The method:
This nesting approach tightens your stop-loss distance while maintaining HTF directional backing. A 4H zone might span $200 on BTC, but a nested 5m order block within it gives you a $50-80 stop instead.
Your POI queue is not static. Update it as the session unfolds:
Limit your active queue to 2-3 POIs per session. More than that splits your attention and degrades execution quality. Let alerts handle the rest.
Even a top-of-queue POI is, at best, a 50-65% reaction zone in trending regimes and lower in news-driven sessions. Sequencing improves your sample quality, not your win rate per trade. Size every POI entry as if it will fail; the math works because the failures are smaller (stops behind HTF boundary) than the successes.
Limit your active queue to 2-3 POIs per session. More than that splits your attention and degrades execution quality — let alerts handle the rest of the watchlist.
If a POI has been visited three or more times without producing a clean reaction, demote it. The SMC interpretation is that resting liquidity has been consumed; the empirical pattern of decaying reaction strength is consistent enough to act on, even without order-book proof.
Nesting means using a lower-timeframe POI that sits inside a higher-timeframe zone. You wait for price to enter the HTF zone, drop to a 5m or 15m chart, find a nested POI within the range, and enter from the LTF level with a stop placed beyond the HTF boundary — tightening risk while keeping HTF directional backing.