Structure-Anchored VWAP [WillyAlgoTrader]📐 Structure-Anchored VWAP is an overlay indicator that anchors a true volume-weighted average price to market structure and re-anchors it automatically at every confirmed swing pivot, structure break, fast extreme, or one manual date — combining a pivot-based structure engine, an O(1) prefix-sum VWAP core, volume-weighted sigma bands, a retest entry model with ATR risk management, and a sectioned dashboard with session statistics.
The core insight: a VWAP anchored to the start of the current structural leg tells you the average price at which volume actually changed hands since this move began. That is the level participants in this leg are collectively break-even at. Session VWAP resets at midnight and ignores structure. Manual anchored VWAP requires you to drag it and re-drag it. This indicator keeps the anchor synchronised with the structure itself, and measures how stretched price is from that anchor in the leg's own volume-weighted standard deviations rather than in generic ATR units.
It works on any market and any timeframe. On instruments with no volume feed it falls back to time weighting automatically and says so in the dashboard.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A VWAP alone has no memory of structure — it does not know whether the market is making higher highs or lower lows, so it cannot know when its own anchor has gone stale. A structure detector alone tells you HH / HL / LH / LL but gives you no price level to trade against. Deviation bands built on ATR describe candle size, not participation, so they say nothing about where volume was actually transacted. And an entry signal without a fixed stop and target is not a trade, it is an opinion.
This indicator connects all four into one chain:
Pivot structure engine → anchor selection → prefix-sum anchored VWAP → volume-weighted sigma bands → retest detection → ATR risk model → session statistics
The structure engine finds confirmed swing highs and lows, filters them by ATR amplitude and enforces strict high/low alternation, so every anchor is a real structural turn rather than a passing wick. Anchor selection decides which of those turns starts a new leg, with four different policies for four trading styles. The prefix-sum core then computes the anchored VWAP for that leg — and because it also accumulates the sum of squared prices, the same pass produces the leg's own volume-weighted standard deviation, so the bands are derived from the same data as the line instead of being bolted on. The retest engine watches the distance between price and that line, requires price to leave and come back, and only then produces an entry. The risk model turns the entry into a fixed stop and three targets, and the statistics layer records what happened to each of them.
Remove any link and the chain stops working. Without structure anchoring, the VWAP measures a leg that ended days ago. Without the ATR amplitude filter, every minor wick creates a new anchor and the line resets constantly. Without the sigma bands, "far from VWAP" has no unit. Without the retest rule, every touch of the line is a signal, including the fifty touches that happen while price is glued to it. Without the risk layer, you know where to enter but not where you are wrong.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Prefix-sum VWAP core — any anchor evaluated in O(1), including a decayed one.
Three running totals are maintained on every bar, where p is the price source and w is the bar weight:
— S_w(t) = lam × S_w(t−1) + w(t)
— S_pw(t) = lam × S_pw(t−1) + p(t) × w(t)
— S_p2(t) = lam × S_p2(t−1) + p(t)² × w(t)
The sum over any leg is then recovered without looping:
— sum = S(t) − lam^(t−a+1) × S(a−1)
With lam = 1 this is an exact cumulative anchored VWAP — every bar of the leg keeps its full weight, the same quantity the built-in Anchored VWAP tool computes. With lam < 1 the same identity still holds, which is what makes the optional Half-life mode possible without a second engine.
Why this matters: re-anchoring becomes cheap. Moving the anchor does not require replaying the whole leg bar by bar, so the indicator can afford four anchor modes and legs up to 4000 bars long without a performance penalty.
2️⃣ Volume-weighted sigma bands — dispersion of the leg, not size of the candle.
Because the squared-price sum is already accumulated, the leg's variance comes out of the same pass:
— VWAP = sum_pw / sum_w
— sigma = sqrt( max( sum_p2 / sum_w − VWAP², 0 ) )
Bands are drawn at VWAP ± multiplier × sigma. Band 1 defaults to 0.5 sigma (the value-area edge of this leg), Band 2 to 2.0 sigma and is off by default.
Why this matters: an ATR band tells you how big recent candles were. A volume-weighted sigma band tells you how widely the volume of this specific leg was distributed around its own average price. Two markets with identical ATR but different participation profiles get different bands, and the "Premium / Fair value / Discount" classification in the dashboard becomes comparable across instruments.
3️⃣ Four anchor modes — one engine, four trading styles.
— Swing (default): a new leg starts at every confirmed pivot. The anchor is the opposite extreme, so a bullish leg is anchored at the swing low that preceded it.
— Structure break : a new leg starts only when price closes beyond the previous swing. The anchor is then the extreme that preceded the break, found by scanning back from that swing. Fewer legs, each tied to an actual break of structure.
— Fast : no confirmation delay. The bar printing the highest high or lowest low of the last N bars (default 30) is treated as a new extreme, and the leg flips the moment an extreme opposite to the previous one appears. When a bar prints both a new high and a new low, the candle direction decides which one is taken.
— Manual : a single leg from a chosen date and time, which reproduces the behaviour of the built-in Anchored VWAP tool inside the same framework — useful for comparing against a manual anchor or pinning a level.
4️⃣ Structure engine with ATR amplitude filter and strict alternation.
Pivots come from equal left/right lookback (default 55/55). A new pivot of the opposite type is only accepted when it clears an ATR-scaled amplitude:
— accept a new high when: pivotHigh − lastSwingLow ≥ minSwing × ATR(atrLen)
— accept a new low when: lastSwingHigh − pivotLow ≥ minSwing × ATR(atrLen)
Default minSwing 1.5, ATR length 13. A pivot of the same type as the last one does not create a new structural point — it only supersedes the previous extreme if it is more extreme. This enforces a clean alternating high-low-high-low sequence instead of clusters of adjacent highs.
Classification against the previous extreme of the same type, with an equality tolerance (default 0.1 × ATR):
— |current − previous| ≤ eqTol × ATR → EQH or EQL
— current > previous → HH or HL
— current < previous → LH or LL
5️⃣ Retest entry model — price must leave before it can come back.
Every bar the engine measures the relationship between the bar range and the anchored VWAP:
— tol = sigma × touchTolerance (default 0.25), or ATR × 0.1 while sigma is still zero
— touch = low ≤ VWAP + tol and high ≥ VWAP − tol
— outside = bullish leg ? low > VWAP + tol : high < VWAP − tol
An "away" counter increments on every outside bar and resets to zero on every touch. A retest fires only when a touch happens while the committed away counter has already reached the threshold (default 5 bars).
Why this matters: a raw "price touched VWAP" condition fires continuously in the chop that surrounds every mean. Requiring a genuine departure first converts an omnipresent condition into a discrete, countable event.
6️⃣ Volume balance — who controlled this leg.
While the leg accumulates, every bar's weight is assigned to one of two buckets by where it closed relative to the VWAP at that moment:
— close ≥ VWAP → volUp += w
— close < VWAP → volDn += w
— balance = volUp / (volUp + volDn) × 100
The dashboard shows this as a percentage with a bar gauge, and relabels it "Bars above VWAP" automatically when the instrument has no volume data. Above 50 % means most of the leg's participation happened above its own average price.
7️⃣ Signal strength — a transparent 0-100 context score.
Four independent components, published in full so the number is auditable rather than a black box:
— 40 pts × (volume balance aligned with leg direction, 0..1). For a bearish leg the balance is inverted before scoring.
— 25 pts if price sits on the leg's own side of the VWAP.
— 20 pts if price is not stretched beyond Band 2, i.e. |distance in sigma| ≤ band 2 multiplier.
— 15 pts if the leg has already produced at least one retest.
The score is clamped to 100 and shown with a gauge. This is a context filter, not a proven edge — it says how coherent the current leg is, nothing more.
8️⃣ VWAP memory levels — dead legs leave a level behind.
When a leg ends on a genuine direction flip, its final VWAP value is written to the chart as a dashed horizontal line. That line extends forward until price trades through it, then it is either removed or faded to dotted, depending on a setting. Up to four such levels are kept (configurable), and the newest push out the oldest.
When a level is created, the bars between the anchor and the current bar are scanned first, so a level that was already traded through is never shown as untouched.
9️⃣ Single-position trade model with break-even and outcome tracking.
A retest signal opens a trade only while flat — signals never stack. On entry, the levels are fixed once and never recalculated:
— slDistance = ATR(riskAtrLen) × slMultiplier
— long: SL = entry − slDistance, TP(n) = entry + slDistance × tpMult(n)
— short: SL = entry + slDistance, TP(n) = entry − slDistance × tpMult(n)
Presets set all four multipliers at once — Conservative 2.5 / 1R / 2R / 4R, Balanced 1.5 / 1R / 2R / 3R, Aggressive 1.0 / 1.5R / 2.5R / 4R, Scalping 0.8 / 0.8R / 1.5R / 2R, or Custom.
Break-even is optional and on by default: the first touch of TP1 moves the stop to the entry price, the entry label changes to show it now acts as the stop, and the stop line dims. TP1 still counts as a win. Hit checks begin only on the bar after entry and only on confirmed bars, so the entry bar's own range cannot close the trade it just opened.
🔟 Persistent trade forensics — the chart keeps the last result.
SL and TP lines are not deleted when the trade closes. They stay until the next entry, so the last trade remains readable on the chart: any target that was reached is redrawn as a solid teal line and its label gets a check mark, while untouched targets keep their original dashed style. Labels can show the distance from entry in percent, for example "SL 78120.5 (-0.36%)".
1️⃣1️⃣ Realtime correctness — ring buffers and a commit/undo pattern.
Functions that only run on some bars cannot use the history operator safely, because the history they see is sparse and does not correspond to chart bars. All per-bar values this indicator needs later are therefore written to explicit ring buffers on every single bar, and read back by index.
On top of that, the live leg uses a commit/undo pattern: statistics are always recomputed from the last confirmed state, and the provisional point for the forming bar is popped before a new one is pushed. A bar being formed can therefore never be counted twice, no matter how many ticks arrive.
1️⃣2️⃣ Continuous curve across anchor changes.
When a new anchor appears, the previous leg is not erased — it is cut exactly at the new anchor bar and frozen. The curve therefore has no gaps at handover points, including the case where a stronger extreme of the same type supersedes the previous one.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Structure: On each confirmed bar the engine evaluates pivot highs and lows with equal left/right lookback, applies the ATR amplitude filter, enforces high/low alternation and classifies the result as HH, HL, LH, LL, EQH or EQL.
Step 2 — Weighting: The bar weight is volume, or 1.0 when the instrument has no volume. If spike clamping is on, the weight is capped at N × the 50-bar median volume so a single print cannot dominate the average.
Step 3 — Accumulation: The three running totals of weight, price × weight and price² × weight are advanced, decayed by lam if Half-life weighting is selected.
Step 4 — Buffering: The totals plus high, low, close and ATR are appended to ring buffers, one entry per bar, with the current bar's provisional entry overwritten rather than duplicated on repeat ticks.
Step 5 — Anchor decision: The active anchor mode decides whether this bar starts a new leg and where that leg's anchor sits.
Step 6 — Leg build: On a new anchor the previous leg is trimmed to the anchor bar, frozen and archived, a memory level is created if the direction actually flipped, and the new leg is replayed once from the anchor to the current bar. On every other bar the live leg simply advances by one point.
Step 7 — Readouts: VWAP, sigma, distance in sigma and percent, zone, volume balance, leg age and the strength score are computed for the current bar.
Step 8 — Signal: The retest rule is evaluated. A qualifying retest, on a confirmed and warmed-up bar, while flat, becomes an entry.
Step 9 — Risk: On entry the stop and three targets are fixed. On later confirmed bars they are tested for hits, break-even is applied after TP1, and the trade is closed by stop or final target.
Step 10 — Reporting: Lines, labels, markers, the dashboard and alerts are updated. Closed trades update the win/loss counters and the form strip.
📖 HOW TO USE
🎯 Quick start:
1. Add the indicator. Defaults are tuned for 15m to 4H swing structure.
2. Watch the coloured curve — it is the anchored VWAP of the leg the market is currently in.
3. Wait for a Long ▲ or Short ▼ marker. That is a retest of the VWAP in the direction of the leg.
4. Read the Trade section of the dashboard for the stop, the three targets and the R:R.
5. If signals are too frequent, raise "Bars away before a retest counts". If legs are too frequent, raise pivot strength or the minimum swing size.
👁️ Reading the chart:
— 🟢 Green curve = bullish leg, anchored at the swing low that started it.
— 🔴 Red curve = bearish leg, anchored at the swing high that started it.
— Shaded band around the curve = ± sigma of this leg. Price inside it is at fair value for the leg.
— 🟢 Long ▲ / 🔴 Short ▼ marker = a retest entry was taken on that bar.
— Dotted blue line = entry. Solid red line = stop. Dashed green lines = TP1, TP2, TP3.
— A target that turns solid teal with a ✓ in its label was reached.
— An orange entry label reading "→ SL (BE)" means the stop has been moved to break-even.
— Dashed horizontal level far from the curve = a memory level, the final VWAP of a finished leg.
— HH / HL / LH / LL / EQH / EQL tags mark every confirmed pivot.
📊 Dashboard fields:
— Trend : direction of the current leg.
— Signal : LONG, SHORT or Wait. A new trade can only open while flat.
— Strength : the 0-100 context score with a gauge.
— Last event : the most recent new leg or retest.
— Timeframe : the chart resolution.
— Mode : active anchor mode and weighting, plus a note when the symbol has no volume.
— Anchor : structure tag and price of the bar the leg is anchored to.
— Leg age : bars since the anchor and the price move from it.
— VWAP : the anchored VWAP on the current bar.
— Price vs VWAP : distance in sigma and in percent.
— Zone : Premium above Band 2, Discount below it, Fair value in between.
— Vol above VWAP : share of the leg's weight transacted above the VWAP, with a gauge.
— SL / TP1 / TP2 / TP3 : the fixed levels of the open trade. A ✓ marks a reached target, "BE @" marks a stop moved to entry.
— R:R (TP1) and SL Dist % : reward-to-risk at the first target and the stop distance as a percentage of entry.
— Trades / W / L / Win rate / Form : closed trades in the loaded history, the win-loss split, the win rate with a gauge and the last ten outcomes as ▰ and ▱.
🔧 Tuning guide:
— Too many legs, the line resets constantly: raise pivot strength (55/55 → 80/80) or the minimum swing size (1.5 → 3.0).
— Legs appear too late: lower pivot strength, or switch the anchor mode to Fast for immediate flips.
— Too many entries: raise "Bars away before a retest counts" and lower the touch tolerance.
— The line drifts too far from price on long legs: switch Weighting to Half-life. This is no longer a textbook VWAP, and the dashboard says so.
— Comparing against the built-in Anchored VWAP tool: set the mode to Manual with the same anchor time, price source to hl2, weighting to Cumulative, and turn volume clamping off.
— Stops feel too tight or too wide: change the Risk Preset before touching individual multipliers.
⚙️ KEY SETTINGS
⚙️ Main Settings:
— Pivot strength left / right (default 55 / 55): bars required on each side of a swing. Right is the confirmation delay.
— Minimum swing size (default 1.5 × ATR): amplitude filter for new pivots. 0 disables it.
— ATR Length (default 13): ATR used by the swing filter and the equality tolerance.
— Re-anchor on (default Swing): Swing, Structure break, Fast or Manual.
— Fast mode: extreme lookback (default 30): lookback for the Fast mode only.
— Equal high/low tolerance (default 0.1 × ATR): threshold for EQH and EQL tags.
— Manual anchor : date and time for the Manual mode, shown in the chart's timezone.
📐 Anchored VWAP:
— Price source (default hl2): hl2 matches the built-in tool, hlc3 weights closes more, close is the most reactive.
— Weighting (default Cumulative): Cumulative is a true VWAP, Half-life fades older bars.
— Half-life (default 21 bars): only used by Half-life weighting.
— Clamp volume spikes (default on, 4 × median): caps outlier volume bars.
— Max leg length (default 4000 bars): keeps very old anchors bounded.
📏 Deviation Bands:
— Band 1 (default on, 0.5 sigma): inner band.
— Band 2 (default off, 2.0 sigma): outer band, also defines the Premium and Discount zones.
— Fill transparency (default 90).
🎯 Signals & Levels:
— Bars away before a retest counts (default 5).
— Touch tolerance (default 0.25 sigma).
— VWAP memory levels (default on, max 4, crossed levels removed).
🛡️ Risk Management:
— Risk Preset (default Balanced): Conservative, Balanced, Aggressive, Scalping or Custom.
— ATR Length (SL) (default 13).
— SL ×ATR / TP1 / TP2 / TP3 ×Risk (defaults 1.5 / 1.0 / 2.0 / 3.0): used by the Custom preset.
— Break-Even After TP1 (default on).
— Show SL/TP Lines, Labels, % Distance (all on by default).
— Entry / SL / TP Line Style (defaults Dotted / Solid / Dashed).
🎨 Visual:
— Theme (default Auto): Auto detects the chart background, Dark and Light force it.
— Show Buy/Sell Signals, HH/HL/LH/LL, Leg Background, Watermark .
— SL/TP Label Font Size (default Small).
— Finished legs kept on chart (default 30).
📊 Dashboard:
— Position (default Top Right) and four independent section switches: Market, VWAP, Trade, Stats.
🔔 ALERTS
— 🟢 LONG — VWAP retest entry, with price, VWAP, SL, TP1, TP2, TP3 and R:R
— 🔴 SHORT — same payload, short side
— 🛑 SL HIT — entry and stop price. Reported as 🛡️ BE STOP-OUT when the stop had already been moved to break-even
— 🛡️ BREAK-EVEN — stop moved to entry after TP1 (optional)
— 🎯 TP1 HIT, 🎯🎯 TP2 HIT, 🏆 TP3 HIT — first touch of each target (optional)
— 🟢 New bullish leg / 🔴 New bearish leg — a new anchor was set (optional)
— 🔵 Close above VWAP / 🔵 Close below VWAP — the close crossed the anchored VWAP (optional)
Entry alerts support both plain text and a JSON webhook payload. All alerts fire on bar close.
⚠️ IMPORTANT NOTES
— 🚫 No repainting of confirmed values. Every structure event, entry, stop, target and alert is evaluated only when barstate.isconfirmed is true. Pivots use equal left and right lookback, so the swing point is in the past by the "right" value at the moment it becomes known — that is delayed confirmation, not a look into the future. Stop and target hits are tested only from the bar after entry. Alerts fire once per bar close.
— 📐 What does update intrabar. The VWAP value of the leg currently in progress moves while the bar is forming, because that is what an anchored average does. Values on closed bars never change. A commit/undo pattern makes sure a forming bar is never counted twice in the statistics.
— 📐 The unfinished leg can be shortened. When a stronger extreme of the same type is confirmed, the current leg is cut at that point and a new leg starts there. Legs that have already been archived are never modified.
— 📊 The statistics are not a backtest. Trades, win rate and the form strip are counted over the history currently loaded on the chart and reset when the chart reloads or a setting changes. They describe how this rule set behaved on the visible data. Past performance does not guarantee future results.
— 🧮 The strength score is a context filter. Its four components and weights are published above precisely so it can be judged on its merits. It measures the internal coherence of the current leg, not the probability of any outcome.
— ⚖️ Half-life weighting is not a VWAP. When that mode is selected the line is an exponentially weighted average, useful on instruments without volume, but it is no longer the textbook volume-weighted average price. The dashboard states the active mode at all times.
— 🌐 Universal compatibility. Works on stocks, futures, forex, crypto and indices, on every timeframe. Where no volume data exists the weighting falls back to time and the dashboard relabels the volume-balance row accordingly.
— 🛠️ Decision support, not automation. This is an anchored VWAP and structure analysis tool with a risk framework attached. It marks anchors, measures distance in the leg's own units, detects retests and lays out stops and targets — trade decisions remain yours. Indicador
Golden Trident | Swing-Anchored VWAP Trend SystemGolden Trident is a long-only, daily-timeframe trend-following strategy built specifically for XAUUSD (spot gold). Rather than relying on a lagging moving-average crossover or a single volatility band, it reads market structure directly — tracking swing highs and lows to determine trend direction — and pairs that with a volume-weighted anchor price that resets at every structural trend change. This gives the strategy a "fair value" reference line that adapts to each new trend leg rather than dragging a fixed-length average behind it.
The strategy is deliberately long-only. Gold has spent most of its liquid trading history in a secular uptrend, and countertrend short entries were found to meaningfully drag down both total return and risk-adjusted performance without adding diversification benefit — so the system simply steps to the sidelines when structure turns bearish, rather than fighting the dominant trend.
Position sizing is intentionally simple: a fixed percentage of equity per trade, compounding as equity grows. Risk management is handled by a single wide "catastrophe" stop rather than a tight trailing stop — the strategy is designed to exit on genuine trend reversal, not to be shaken out by normal daily noise.
How It Works
Swing Structure (Trigger): The strategy tracks rolling swing highs and lows over a configurable lookback. When the most recent extreme is a new high, structure is bullish; when it's a new low, structure is bearish.
Anchored VWAP (Trend Reference): Each time structure flips, the volume-weighted average price calculation resets and begins accumulating fresh from that point — producing a trend-relative fair-value line rather than a static average.
EMA200 Filter (Structure Confirmation): Long entries additionally require price to be trading above the 200-period EMA, keeping trades aligned with the macro trend.
Chop Filter (Volatility Gate): Entries are blocked when recent price range is too narrow relative to ATR — this avoids entering on structural "flips" that occur during sideways consolidation, where they're most likely to reverse immediately.
Exit: Positions close purely on structural trend reversal. No trailing stop is used, since research during development found trailing exits tended to cap winning trades prematurely without meaningfully reducing losses.
Backstop Stop: A wide ATR-based stop exists purely as disaster protection for extreme, unexpected moves — it is not intended to be part of normal trade management.
Features
Swing-structure trend detection (not a lagging indicator crossover)
Self-resetting anchored VWAP trend reference
Optional EMA200 macro trend filter
Optional ATR-based chop/consolidation filter
Configurable backtest date range
Trade outcome visualization (colored boxes showing each closed trade's entry-to-exit range)
Live dashboard showing current structure, volatility state, position size, and open P/L
Gold-themed visual design with gradient trend fill and directional bar coloring
Tips for Use
Timeframe: Designed and tested on the daily chart. Shorter timeframes will likely need proportionally shorter swing/EMA/ATR lengths.
Data quality matters: Backtest only over periods with clean, liquid, consistently-quoted price and volume data. Very long historical ranges on XAUUSD may include gold-standard-era pricing or unreliable volume that will distort results — the built-in date range inputs default to 2010 onward for this reason.
Position sizing: The default equity percentage is aggressive. Test at a lower size first and scale up only after reviewing max drawdown and worst losing-streak length for your specific test window — position sizing should reflect your own risk tolerance, not just backtest profit factor.
Shorting: Short entries exist as a toggle for experimentation, but are off by default based on backtest performance on gold's historical trend bias. Re-enabling changes the strategy's risk profile meaningfully.
Not financial advice: This is a backtesting and educational tool. Past performance on historical data does not guarantee future results.
Estratégia
VWAP AI - Statistical Bands & Touch Stats [Dots3Red]⚓ VWAP AI - STATISTICAL BANDS & TOUCH STATS
VWAP's standard deviation bands are treated more or less as reliable support and resistance — on faith. This script checks that faith against the actual chart in front of you: every band touch is graded, every break beyond a band is graded, and the results accumulate into a running, honest record.
✨ WHY THIS MATTERS
VWAP tells you the volume-weighted average price — where the "center of gravity" of trading has actually been. The bands around it are meant to show how far price typically wanders from that center before snapping back. But "typically" varies enormously by instrument, session, and market condition, and no plain VWAP tool tells you what's actually been happening on your chart.
This script tracks it directly:
📊 +1σ | 62% rejected (n=41)
That means 41 touches of the +1σ band have been recorded on this chart, and 62% of them resulted in price genuinely rejecting back toward VWAP. Measured history, not an assumption baked into the tool.
⚙️ HOW IT WORKS
⚓ Anchoring — VWAP resets at the start of each new period. Session is the classic intraday default; Week and Month extend the same logic to longer views. Custom Bar anchors once, permanently, to a specific historical point you choose — useful for anchoring to an earnings date, a gap, or any event you want to measure from, rather than the calendar.
📏 Two-tier statistical bands — Band 1 and Band 2 are both standard-deviation multiples of VWAP, computed from a proper running variance (not an ATR approximation). Defaults are ±1σ and ±2σ, both fully adjustable.
🎯 Touch grading — when price wicks into a band without closing beyond it, that's logged as a touch. Within a configurable window, it resolves as:
• Rejection — price moved back toward VWAP by a meaningful distance
• Break — price closed convincingly through the band
• Timeout — neither happened clearly enough to call
🔄 Break-to-reversion tracking — separately, when price actually closes beyond Band 1, the script watches whether that move reverts back toward VWAP or continues away from it. This answers a different question than touch grading: not "did the band hold," but "once it didn't, did price come back anyway?"
🔒 Non-repainting — all grading happens strictly on confirmed bars.
🧭 HOW TO USE
1️⃣ Check the band stats before treating a level as reliable. "+1σ: 71% rejected (n=38)" and "+1σ: 44% rejected (n=12)" look like the same line on the chart but mean very different things about how much to lean on it.
2️⃣ Use break-reversion stats to judge a breakout beyond VWAP's range. If breaks above Band 1 have reverted back 65% of the time on this chart, that's useful context before assuming a fresh breakout will keep running.
3️⃣ Read Price vs VWAP as the simplest possible bias check. Above VWAP means the average buyer today is in profit; below means the average buyer is underwater. It's a blunt but genuinely useful read on crowd positioning.
4️⃣ Let sample sizes build before trusting the percentages. Every stat shows its N= specifically so you can judge reliability yourself — a handful of touches is not yet a pattern.
5️⃣ Match the anchor mode to what you're actually measuring. Session for pure intraday structure, Week or Month for a longer view, Custom Bar when you want to measure from one specific moment forward.
⏱️ WHICH TIMEFRAMES WORK BEST
Session-anchored VWAP is fundamentally an intraday tool — it was built for, and is most meaningful on, timeframes where a full session contains enough bars to form a real distribution: 1-minute through 1-hour is the classic and most effective range, which is exactly where VWAP sees the heaviest institutional and day-trading use.
On daily or weekly charts, a Session anchor resets so frequently relative to the bar size that it stops being meaningful — you'd see very few bars per session. For higher-timeframe or swing-style use, switch the anchor to Week, Month, or Custom Bar instead, so the accumulation window actually spans enough bars to produce a meaningful VWAP and band structure.
The touch and break statistics also need enough occurrences to mean anything — a fast-moving intraday chart will accumulate a useful sample size in days; a slow higher-timeframe anchor will take considerably longer.
🛠️ SETTINGS
⚓ Anchoring — Session / Week / Month / Custom Bar, source price
📏 Bands — Band 1 and Band 2 standard-deviation multipliers, Band 2 visibility toggle
🎯 Touch Statistics — Touch Tolerance, Rejection Distance, Reversion Distance, Outcome Window
🎨 Visualization — independent Band 1 / Band 2 touch marker toggles, Dot or Triangle marker style, marker size, VWAP and band line widths, independent fill transparency per band tier
🎨 Colors — VWAP line, Band 1 lines, Band 2 lines, upper/lower touch markers, Price Above/Below VWAP indicator, and full dashboard color control (background, border, header, row styling)
🖥️ Dashboard — show/hide, position — current VWAP value, price position, all four band stats, and both break-reversion stats in one place
📝 NOTES
Statistics accumulate from when the indicator is added to the chart and reset only when explicitly cleared by reloading. A Custom Bar anchor never resets on its own, it measures continuously from the point you chose. Band 2 statistics take meaningfully longer to build a useful sample than Band 1, simply because price reaches ±2σ far less often than ±1σ.
⚠️ DISCLAIMER
This is an analytical and visualization tool. It does not generate trade signals and does not constitute financial advice. Historical rejection and reversion rates do not guarantee future performance. Indicador
MTF VWAP + POC Fan### What it does
Seven fixed-lookback windows on one anchor timeframe. Each window draws a VWAP curve — where the average participant's cost sits over that span — and can optionally draw a POC, the single price bin inside that same window that traded the most volume.
Same window, two different questions:
- **VWAP** — what the average participant paid
- **POC** — where participation actually concentrated
A dashboard reads the seven VWAP endpoints and scores the structure they form.
Default ladder is a daily one: **21 / 63 / 126 / 189 / 252 / 378 / 756** bars — roughly one month through three years. The anchor timeframe is configurable, so the same ladder on Weekly becomes five months through fourteen years.
### Why fixed lookbacks instead of swing anchors
Anchoring a VWAP at a swing high or low answers a real question — "what has been paid since that event" — but those anchors collapse into each other as windows grow. If price has not exceeded its three-month high, then the six-month, twelve-month and three-year highs are all the same bar, and several rungs draw one curve.
Fixed-lookback anchors cannot collide. The bar 252 back and the bar 378 back are always different bars, so seven rungs always mean seven distinct windows. That property is what makes a seven-horizon fan worth drawing at all.
### Reading the curve correctly
This is the part most multi-window VWAP scripts leave ambiguous, so it is worth being explicit.
At its **right edge**, VW252 equals the VWAP of the last 252 anchor-TF bars. That endpoint is the number.
The **tail behind it is not a rolling 252-bar series.** Every point on the drawn curve is the accumulation from the origin that is 252 bars back *today*, so the midpoint of the line is roughly a 126-bar average. The curve does not show what VW252 read on those past dates — on any past date it was anchored 252 bars before *that* date, at a different origin entirely.
The tail is one accumulation path from today's origin. Read historical crossings with that in mind.
### How the VWAP is calculated
Standard volume-weighted mean of the source (default HLC3) from the window's origin bar to its end bar, accumulated over **chart** bars. Origins are located on the anchor timeframe, then resolved to the exact chart bar by binary search.
When volume is missing or zero the engine substitutes 1.0, and tracks the substitution rate **per window**. Two different failures hide under one symptom:
- Missing on nearly every bar (synthetic symbols, some indices) — every bar weighs the same, so the curve is an *unweighted* mean of the source. Usable if you know that is what you are reading.
- Missing on a handful of bars in a real feed — a bar weighing 1.0 against neighbours weighing millions is not averaged in, it is effectively *dropped*. Still a proper volume-weighted mean, over a slightly smaller sample.
Curves whose own window exceeds the warning rate are suffixed with `*` and counted on the dashboard.
### How the POC is calculated
The window's high-low range is divided into bins, and each bar's volume is allocated **in proportion to how much of that bar's range overlaps each bin.**
The obvious shortcut — splitting a bar's volume equally across every bin it touches — is wrong at the edges: a bar with 2% of its range in one bin and 98% in the next would contribute 50/50. Since the POC is an argmax rather than an average, that error does not wash out. It can hand the win to the wrong bin.
Fully covered interior bins are accumulated with a difference array (one increment at the low edge, one decrement at the high edge, resolved in a single prefix sum) rather than a per-bin loop, which keeps the cost at O(bars + bins).
Three deliberate constraints:
**Resolution is capped at one bin per tick.** The bin-count input is a *maximum* resolution, not permission to invent sub-tick precision. If a window's whole range spans forty ticks, a hundred bins would put several bins inside one tick and the argmax would be choosing between prices that cannot trade. The reported level is also snapped to the instrument's tick grid, because an unrounded one-tick bin from 10.00 to 10.01 reports 10.005.
**Bin width is per window.** Each window divides its *own* range, so a P756 bin can be several times wider than a P126 bin. Two POCs landing on the same price are not confirming each other to the same tolerance. Each label's tooltip prints its bin width — read the level as the centre of that band, not as a price.
**POC is suppressed, not flagged, when volume is substituted.** A VWAP with missing volume degrades into an unweighted mean, which is still a usable number. A profile with missing volume becomes a bar-*count* histogram, whose peak answers where price spent the most bars regardless of size traded. That is a different statistic wearing the POC's name, so above a threshold nothing is drawn and the dashboard names the reason.
### Why POC is drawn forward, not backward
By default a POC starts at the last calculated bar and extends right. It is not drawn back across the window it was computed from.
A VWAP tail is a continuous accumulation with a value at every bar. A POC is a single number recomputed every bar with no value anywhere but now. Drawing both back to the same origin would make one line a genuine path and the other a snapshot impersonating one — the same visual gesture carrying two different truth-values, which teaches the wrong reading and creates hindsight support that was never there.
`Window + Forward` is available when you want to see the span, with the understanding that the backward segment is decoration.
Related: a POC **jumps**. It is an argmax, so when a different bin overtakes the leader the level teleports. A POC that sat at 70k yesterday and prints 62k today is not a data error — it is a window with two shelves close in volume. The single line cannot tell you that, which is the honest limitation of showing a POC without its profile.
### The visual grammar
- **Colour = horizon identity**, fixed per rung, never reassigned when other rungs are toggled. 252 is gold whether seven rungs are on or two.
- **Solid, width 2 = VWAP**
- **Dashed, width 1 = POC**, same colour as its VWAP
There is deliberately no horizon-based transparency and no colour-by-price-position. Fading short horizons fought the pairing and restyled everything on every toggle. Colour-by-price-position was redundant with the chart itself — whether a VWAP is above or below price is visible by looking at it — and spending the colour channel on it meant colour was unavailable for identity.
The palette is a cool progression (aqua → light blue → blue → lavender → **gold at 252** → violet → deep purple) so the fan reads as one instrument rather than seven unrelated indicators. Gold breaks the ramp deliberately, because 252 is the horizon most often referenced. Green and red stay out of the palette on purpose: they belong to the candles, and to the dashboard.
The script declares `scale=scale.none` so a distant 756-bar VWAP cannot drag the price axis and compress the candles you are actually trading.
### Seven VWAPs, three POCs
All seven VWAPs ship on. Seven ordered curves read fine, and where they bunch is itself information.
POCs are opt-in per rung, defaulting to **126 / 252 / 756** only — medium-term, annual, multi-year. Seven horizontal levels crowd a chart in a way seven curves do not. P189 and P378 are one click away. Global `Show VWAPs` and `Show POCs` switches let you inspect either family alone.
### The structure dashboard
A 0–100 read on where price sits relative to the fan and whether the fan is ordered.
```
STRUCT 88
P>VW 7/7
STACK +5/6
BIAS STRONG BULL
P>POC 3/3
```
**Price position — 50 points.** How many VWAP endpoints price is above, as a fraction of the drawn rungs, times 50.
**Stack — 50 points.** The adjacent-pair ordering, short over long. Each of the six adjacent pairs scores +1 when the shorter window sits above the longer, −1 when inverted, 0 when they are inside an equality tolerance. Raw range −6 to +6, rescaled to 0–50.
The dashboard shows the **signed raw total** (`+5/6`, `0/6`, `−4/6`) rather than a count of bullish pairs, because that signed number is literally what enters the score. Five bullish plus one tied and five bullish plus one inverted are different fans that a bullish-pair count would render identically.
The tolerance is normalised by the **anchor timeframe's** ATR, not the chart's — otherwise the same daily fan would classify two near-identical VWAPs as tied on a 130m chart and ordered on a 39m one, purely because the chart-TF ATR is smaller.
| Score | Bias |
|---:|---|
| 85–100 | Strong Bull |
| 70–84 | Bull |
| 55–69 | Bull Lean |
| 45–54 | Neutral |
| 31–44 | Bear Lean |
| 16–30 | Bear |
| 0–15 | Strong Bear |
`P>POC` is context only and does **not** enter the score. A volume concentration is a location, not a direction.
### What the score is not
Worth stating plainly, because a 0–100 number invites more confidence than this one has earned.
**The two components are not independent.** Price above every VWAP and a perfectly stacked fan are largely the same market condition seen twice — in a sustained one-way move both max out together, in chop both sit near their middles. Treat 0–100 as one structural reading measured two ways, not as a composite of separate evidence. The extremes are easier to reach than a two-component construction suggests.
**Stack ordering is partly mechanical.** These windows are nested — VW21's bars are a subset of VW63's, which are a subset of VW126's — so in any monotonic trend the ordering *follows* from the trend rather than confirming it independently. Where it earns its keep is at turns, when the short end inverts while price position is still high. That divergence between the two rows is more informative than the combined number.
**It is a step function.** With seven rungs, price position moves in jumps of 7.14 and stack in jumps of 4.17. The reading can cross the entire neutral band between two bars without ever printing a value inside it. Small changes are not drift.
**The score is withheld when horizons are missing.** Unless every enabled rung produced a VWAP and no two rungs share a lookback, STRUCT and BIAS print `—` and a `check` row names the reason. Normalising over whatever horizons happened to exist would let a two-horizon symbol print `STRUCT 100 / STRONG BULL`, indistinguishable at a glance from a seven-horizon reading.
Practical consequence: on a symbol without 756 anchor bars of history, the score stays blank until you turn VW756 off. That is deliberate. Disabling the rungs a symbol cannot support makes the reading an explicit statement about which horizons you are using.
### Confirmed Bars Only
With this off (default), windows extend through the current chart bar and update live.
With it on, **both ends** move to completed bars: lookbacks shift back one anchor bar, and all accumulation — VWAP, POC, the dashboard's reference price, and the stack tolerance's ATR — stops at the last chart bar of the last completed anchor candle. The fan then stops moving intraday entirely, which is what the switch should mean. Labels still sit at the chart's right edge while the values belong to the last completed candle; that gap is the point of the switch.
### Settings worth knowing
- **Anchor Timeframe** — the timeframe every lookback is counted in. Must be at or above the chart timeframe. Every anchor timeframe wants its own ladder; the defaults are a daily one.
- **Profile Bins** — maximum POC resolution, capped at one bin per tick.
- **Stored Chart Bars** — an origin must fall inside stored history or its rung is dropped, not approximated. Default 10,000 because 756 daily bars on a 39m chart is roughly 7,500 chart bars.
- **Dim rungs far from price** — optional, off by default. Fades a rung whose VWAP is beyond a set ATR distance. The whole rung dims together so a pair never splits into one bright line and one faint one. Try `scale.none` alone first.
- **Update Mode** — Live redraws every tick, which is necessary rather than wasteful: Pine destroys drawing objects created on an uncommitted tick, so on the forming bar a redraw every tick is the only way curves stay on screen. On Bar Close draws only on committed executions. Use it, or turn POCs off, if the profile passes trip the calculation time limit.
- **Show Diagnostics Panel** — full accounting of rungs, drawn objects and failure reasons. Off by default; anything genuinely wrong still surfaces on the dashboard's `check` row.
### Known properties
**Chart-timeframe sensitivity.** Origins come from the anchor timeframe, but accumulation uses chart bars, so the same daily setup gives slightly different values on a 39m chart than a 130m one. For the VWAPs this is second order — averaging washes out coarse bucketing. For the POC it is not: an argmax does not average, and a coarse bar spreads its volume uniformly across a range it never traded uniformly through. Expect the POC to shift by a bin or two between chart timeframes, more on symbols with frequent wide-range bars.
**Duplicate lookbacks are counted, never merged.** Two rungs set to the same number draw two identical curves in two colours, which looks like two horizons agreeing and is really one horizon entered twice. The dashboard flags it and withholds the score.
### Why VWAP and POC live in one script
They are computed from the same window definition. Splitting them would mean two indicators independently re-deriving identical origins, and would make it impossible to guarantee that P252 and VW252 cover exactly the same bars — which is the entire point of reading them as a pair. The dashboard reads only the VWAPs; the POC family is excluded from it precisely because it answers a non-directional question.
---
*This is a structural reference tool, not a signal generator. Nothing here produces entries, exits or alerts, and no part of it is a claim about future prices. Published open source so the calculations can be checked rather than taken on trust.*
Indicador
Precision Volume Profile [AxeAlgo]OVERVIEW
Precision Volume Profile is a native Pine Script volume
profile tool: it rebuilds a full price-by-volume histogram for whatever
range you anchor it to — the visible chart, a fixed bar count, the
current day, week, month, or a custom trading session — and derives the
Point of Control (POC), Value Area High/Low (VAH/VAL), a Prior Period
Value Area with open-type and POC-migration classification, and a
session VWAP with standard-deviation bands, all from the same underlying
bar history.
This is the classic Market Profile / Volume Profile toolkit used to
judge where the market has actually traded the most volume — not just
where price is right now — and how today's activity compares to the
period before it. Everything here runs natively on your own chart data;
there are no external requests, no repainting of confirmed history, and
no hidden calculations.
This script is free and open-source, published so the full methodology
described below is verifiable directly in the source code.
============================================================
HOW IT WORKS
============================================================
Volume Profile Histogram
----------------------------
For the selected range, price is divided into rows (automatically sized
to the range, or set manually) and every historical bar's volume is
distributed across the rows its high-low span touches. Each bar's
volume is split into an estimated buy side and sell side based on where
that bar's close sits between its low and high — a bar that closed near
its high is treated as more buy-weighted, one that closed near its low
as more sell-weighted. The row with the most total volume becomes the
POC; rows are colored on a gradient between two configurable colors
based on that estimated buy/sell split, with opacity scaled to each
row's relative strength versus the POC.
Value Area
----------------------------
The Value Area is expanded outward from the POC two rows at a time —
comparing the volume of the next pair of rows above versus the next
pair below and adding whichever pair holds more volume — until the
accumulated volume reaches the configured Value Area percentage (70% by
default, the standard Market Profile convention). This is the same
textbook two-row-pair expansion method used for both the live profile
and the Prior Period snapshot below, so the two stay directly
comparable.
Anchor Modes
----------------------------
Six ways to define what range the profile is built from: Visible Range
(whatever's currently on screen), Fixed Bars (a set lookback), Day,
Week, Month, or a fully custom Session (configurable start/end time and
timezone, e.g. 0930-1600 for US regular trading hours). A dotted
vertical line marks exactly where the current profile's lookback
begins whenever that boundary isn't simply the edge of your screen.
Prior Period Value Area, Open Type & POC Migration
----------------------------------------------------
At each period boundary (Day or Week, configurable), the script
snapshots the period that just closed: its Value Area is drawn as a
dashed box extending forward, today's open is classified as Above,
Below, or Inside that prior value, and the new POC is compared against
the previous one to report whether it's migrating up, down, or holding
flat. This is the standard "open-type" read used to gauge whether a
session is likely to be rotational or trending.
Session VWAP & Standard Deviation Bands
------------------------------------------
A running volume-weighted average price with up to two configurable
standard-deviation bands on each side, calculated with the same
volume-weighted variance formula as TradingView's own VWAP tool. It can
reset either at calendar midnight or at your custom session's open
time — the same session window used by the Session anchor mode above,
so the two can be kept in sync.
Stats Panel
----------------------------
An optional on-chart table summarizing the active anchor mode, bar/row
count, POC, VAH/VAL, Value Area width, estimated buy/sell split and
delta, total volume, open type, POC migration, and current VWAP —
everything the script computes, in one place, without needing to
hover over individual lines.
Alerts
----------------------------
Two alert conditions: price crossing the POC, and price entering or
exiting the Value Area.
============================================================
ACCURACY NOTE — HOW BUY/SELL VOLUME IS ESTIMATED
============================================================
Pine Script does not have access to real trade-by-trade tape or
bid/ask data on standard bars, so no volume profile indicator can
measure "true" buy versus sell volume directly. This script — like
essentially every volume profile tool on TradingView — estimates it
from each bar's own OHLC: where the close sits between the low and the
high. This is a widely used, reasonable proxy, but it is an estimate,
not measured order flow. Treat the buy/sell split and Delta reading as
directional context, not a precise execution metric.
============================================================
HOW TO USE IT
============================================================
Add the indicator, pick an Anchor mode that matches how you trade
(Visible Range for manual exploration, Day/Week/Session for a
consistent recurring reference), and set the Value Area percentage if
you want something other than the 70% default. Every input has an
in-editor tooltip explaining exactly what it changes. The Prior Period
panel rows (Open Type, POC Migration) are most useful checked once at
the start of a session; the POC/VAH/VAL lines and histogram are
intended as a persistent reference for the rest of the period.
============================================================
REPAINTING & REAL-TIME BEHAVIOR
============================================================
The profile, its lines, and the stats panel are only (re)computed on
the most recent bar (barstate.islast) — not on every historical bar —
for performance, and are cleared and redrawn from scratch each time
they update. In Visible Range or Fixed Bars mode this means the profile
legitimately changes as you scroll, zoom, or as new bars form — that's
the tool responding to a different input range, not repainting of a
fixed historical value. In Day/Week/Month/Session mode, once a period
has closed its POC, VAH, and VAL are fixed and do not change on
subsequent reloads; only the currently forming period's profile updates
live as new bars print. The Prior Period Value Area snapshot is
computed once, at the moment its period closes, and is never
recalculated afterward.
============================================================
LIMITATIONS — PLEASE READ
============================================================
- Buy/sell volume is an OHLC-based estimate, not real tape data (see
the Accuracy Note above).
- The Value Area expansion is a discrete two-row-pair algorithm; on
very coarse row counts it can land a percentage point or two away
from the exact target rather than hitting it precisely.
- "Max Bars Stored" caps how much history is kept in memory for
performance; extremely long Fixed Bars or Visible Range lookbacks on
very low timeframes can exceed it and get truncated.
- The custom Session anchor and VWAP session-open reset depend on the
Session Time and Timezone inputs actually matching your instrument's
real trading session — mismatched inputs will produce a
technically-correct but practically meaningless boundary.
- This is a discretionary analysis tool intended to support your own
read of the market, not a mechanical, guaranteed-signal system.
============================================================
RISK DISCLAIMER
============================================================
This script is provided for educational and informational purposes
only. It is not financial advice, and it is not a recommendation to buy
or sell any security or instrument. Trading and investing involve
substantial risk of loss and are not suitable for every investor. Past
performance is not indicative of future results. Always do your own
research and consider consulting a licensed financial advisor before
making trading decisions. Use this indicator, and any alerts it
generates, entirely at your own risk.
============================================================
ORIGINALITY
============================================================
This is original work: the row-building and Value Area expansion
algorithms, the Prior Period snapshot and open-type/migration logic,
the session-anchor handling, and the visual design are all written
from scratch for this script. It is published free and open-source so
the full methodology described above is verifiable directly in the
source code.
Indicador
ADX/DI Profile & Volume Footprint🔶Overview
This script merges two powerful analytical frameworks—"Algorithmic ADX/DI Price Profile" and "High-Precision Volume Footprint"—into a single chart overlay. By moving Directional Movement data from the time axis (X-axis) to the price axis (Y-axis) and scanning lower timeframe (LTF) tick arrays, it accurately visualizes where trend energy is concentrated and how buyers and sellers interact at discrete price levels. This allows you to objectively verify market structure before committing capital.
🔶System Modules and Execution Flow
Volume Footprint Engine: Utilizes request.security_lower_tf() to scan up to 50 historical bars on a lower timeframe (down to 1-second for Premium users) to reconstruct intra-bar order flow. : Toggle between "Individual Bars" mode for per-candle footprints, and "Composite (N Bars)" mode to aggregate order flow over a specified range into a single comprehensive structure.
ADX/DI Profile Matrix: Computes standard 14-period DMI components, scalable via a Multi-Timeframe (MTF) engine. Generates fixed bounding boxes over historical sessions to project +DI, -DI, and ADX intensity as horizontal histograms. : Profiles are visually separated (Left, Right, Center aligned). A real-time heatmap shader shifts from "Cold" to "Hot" based on energy concentration, instantly identifying trend exhaustion or accumulation zones.
Local VWAP & Fibonacci Controller: Using the dynamically calculated profile range as an anchor, it draws a local Volume Weighted Average Price (VWAP) and customizable Fibonacci extensions, providing highly logical stop-loss and take-profit targets.
Analytical HUD (Default OFF): A fixed 50-column matrix table dynamically tracks Delta, Total Volume, Total Buy, and Total Sell orders, eliminating the need to manually decipher individual numbers inside the boxes.
🔶Configuration and Filtering Options
Resolution & Boundaries: Defines profile row counts (10 to 50 tiers; max 40 recommended for perfect stability, though this does not apply to line rendering) and width multipliers. When trading highly volatile assets like crypto or indices, reducing this to 30 thickens the price buckets and improves visibility.
Algorithmic Noise Filter: A critical threshold gate (0.0 to 1.0). Price tiers failing to meet this relative intensity ratio are visually muted. Increasing the default 0.08 to 0.15 (15%) mathematically erases low-impact price zones, leaving only institutional-level support/resistance clusters.
Volume Weight Toggle: An option to fuse volume data into DMI calculations. Prioritizes directional moves backed by real capital over empty price spikes.
Premium Seconds-Timeframe Guard: An automated downgrade protocol to ensure script stability. If a non-Premium plan is detected, it automatically converts 1-second (1S) requests to a 1-minute timeframe to prevent fatal array compilation errors.
🔶Trading Strategy and Practical Applications
"Wait & See" Filter (Avoiding Chop): The system's color shader acts as your first gate of discipline. If the ADX profile (center) shows "Cold" colors (e.g., dark orange/amber), it means trend energy is low. Do not trade; remain in a no-position state until the ADX blocks turn "Hot" (bright yellow), confirming massive algorithmic participation.
Absorption and Exhaustion Setups: Watch the Footprint engine boxes drawn over the candles closely. If a massive spike of aggressive buying (high positive delta, green text) occurs, yet the candle fails to break out and is immediately capped by a dense -DI profile block (right side, Hot Red), this is "Absorption." Buyers are trapped. Enter short right below this Point of Control (POC) with a tight stop-loss just above the profile box.
VWAP / Fibonacci Targeting: Once an entry is validated by Footprint delta, use the dynamically plotted VWAP as a baseline. For longs, target the upper Fibonacci bands (0.618 or 1.000). The beauty of this system is that these bands are derived strictly from the profiled session's "volume", reacting mathematically to the current market environment rather than arbitrary historical swings.
🔶Architecture and Quantitative Logic (Code Breakdown)
This script relies on multiple mathematical matrices to transform time-based indicators into price-based structures.
1. Footprint Volume Distribution (Tick Estimation)
ticks_1s = math.round((c_h - c_l) / syminfo.mintick) + 1
v_tick = c_v / ticks_1s
Why this calculation is performed: TradingView cannot provide sub-second Bid/Ask data. To measure aggressive market participation at specific price levels and objectively distinguish local buying absorption from selling pressure, the engine mathematically divides the lower timeframe bar's spread (High - Low) and distributes volume evenly across each tick to synthesize aggressive trading behavior.
Actual Output Value: A raw Float representing estimated volume at a single price tick. For example, if a 1-second volume (c_v) is 100 contracts and the spread covers 5 ticks, the output (v_tick) is exactly 20.0 per tick. Absolute volumes are formatted as strings (e.g., "1.5K") for the UI, while net delta is output to the HUD summary table as raw positive/negative floats.
2. DMI Profile Allocation and Normalization
net_di_ratio = math.abs(raw_p_plus - raw_p_minus) / (raw_p_plus + raw_p_minus)
p_plus = raw_p_plus * c_vol * (1 + net_di_ratio)
Why this calculation is performed: To pinpoint the exact price nodes where trend strength (ADX) and direction (+DI/-DI) physically occurred, filtering out empty volatility. Standard DMI ignores volume; this script multiplies DI intensity by trading volume (c_vol) and scales it via net_di_ratio to highlight zones where one side completely overwhelmed the other.
Actual Output Value: A large integer/float representing the local energy assigned to that price tier. If raw +DI is 30, raw -DI is 10, and volume is 1,000, the net_di_ratio is 20 / 40 = 0.5. The final p_plus output assigned to that tier is 30 * 1000 * 1.5 = 45,000 energy points.
3. Box Scaling and Noise Filter
ratio_plus = val_plus / max_plus
// If ratio_plus >= noise_filter, render the box
Why this calculation is performed: To eliminate market noise. max_plus is the Point of Control (POC)—the price tier with the absolute maximum energy. All other tiers are divided by this maximum to output a percentage (0.0 to 1.0). The noise filter (default 0.08, or 8%) culls tiers holding less than 8% of the POC's intensity.
Actual Output Value: A Float ratio between 0.0 and 1.0. A tier with 22,500 energy against a POC of 45,000 outputs 0.5. This 0.5 is passed directly to the f_get_heatmap_color function, outputting an RGBA hex color code that dynamically blends "Cold" and "Hot" variables based on intensity.
4. VWAP and Geometric Fibonacci Derivation
Why this calculation is performed: To establish a baseline fair value and logical standard deviation bands derived directly from the profiled session's volume distribution.
Actual Output Value: Exact absolute price coordinates (Y-axis floats). The Local VWAP is calculated by dividing the sum of (Typical Price * Volume) by Total Volume within the profile window. Fibonacci levels are output as the absolute distance from the VWAP to the session high/low multiplied by standard ratios (0.382, 0.618, 1.000). These are mapped as solid, dashed, or dotted lines across the X-axis bounds of the profile box.
🔶Capabilities and Limitations
Capabilities: Synthesizes massive LTF data arrays into clean, readable UI boxes without repainting. Modular layout prevents candlesticks from being obscured.
Limitations: TradingView imposes strict limits of 500 boxes, 500 lines, and 500 labels per script. On highly volatile assets with deep tick resolution, maximizing row_count or setting footprint lookbacks to 50 bars may cause older UI elements to clip (disappear) due to platform-level garbage collection constraints.
Indicador
VWAP Regime AI [AxeAlgo]OVERVIEW
VWAP Regime AI is an anchored VWAP (Volume-Weighted Average Price) with
standard-deviation bands, enhanced by a native, from-scratch k-means
clustering engine that classifies recent market volatility into three
regimes — Low, Medium, and High — and adapts the indicator's behavior
based on which regime is currently active.
At its foundation this is the same tool institutional desks use every
day: a running volume-weighted average price with bands around it, used
to judge where "fair value" sits and how far price has stretched away
from it. What this script adds on top is a genuine unsupervised machine
learning step that reads the market's own volatility and lets that
reading drive three things: how wide the bands are, which signal logic
is active, and how much the indicator should trust its own regime call
before acting on it.
This script is free and open-source. All calculations happen natively in
Pine Script on your own chart data.
============================================================
FULL TRANSPARENCY ABOUT THE "AI" IN THIS SCRIPT
============================================================
Pine Script cannot call an LLM, a remote model, or any external AI
service — TradingView does not allow outbound network requests from
indicators, and this script makes none. There is no hidden API call,
no "black box," and nothing running outside of what you can read in the
source code.
What "AI" means here specifically: this script implements k-means
clustering — a well-established unsupervised machine learning algorithm
— entirely in native Pine Script math and arrays. It groups a rolling
window of recent ATR (volatility) readings into three clusters by
repeatedly assigning each reading to its nearest cluster center and then
recomputing each center as the mean of everything assigned to it. This
publication states plainly what is and is not happening so nobody
mistakes this for predictive AI, sentiment analysis, or anything that
consults external data or forecasts the future. It classifies what has
already happened; it does not predict what will happen next.
============================================================
HOW IT WORKS
============================================================
VWAP & Standard Deviation Bands
--------------------------------
The core VWAP resets at the start of each new anchor period (Session,
Week, Month, Quarter, or Year — configurable) and accumulates a running
volume-weighted average from there. Standard deviation is calculated
using the same volume-weighted variance formula TradingView's own
built-in VWAP-with-bands tool. Up to three bands can be shown,
each set at a configurable standard-deviation distance from VWAP.
AI Volatility Clustering (K-Means)
------------------------------------
A rolling window of recent ATR readings (length and window size are both
configurable) is periodically re-clustered into three groups — Low,
Medium, High — using k-means. Reclustering happens every N bars rather
than every single bar, purely for performance; the live classification
of the current bar still updates continuously between reclusters.
Alongside the classification, the script computes a Confidence score
(0-100%): how much closer the current reading sits to its nearest
cluster than to its second-nearest one. A reading sitting right on a
cluster's center scores near 100%; a reading sitting on the boundary
between two regimes — an effectively ambiguous call — scores near 0%.
A "Minimum Regime Confidence" input lets you require a minimum score
before the regime is allowed to influence anything else in the script,
so an unconfident, boundary-line classification doesn't silently drive
behavior.
Adaptive Band Width
----------------------
When enabled, the standard-deviation band multipliers are scaled by a
per-regime factor: tighter in Low volatility, wider in High volatility,
instead of one fixed multiplier that's too tight in some conditions and
too loose in others. This only engages once the AI is both ready
(its lookback window has filled and it has run at least once) and
confident, per the Minimum Regime Confidence setting above.
Signal Logic — Mean Reversion, Breakout, or Auto
----------------------------------------------------
Two independent signal styles are built in, both measured off Band 2:
Mean Reversion looks for price crossing back inside the band from
outside (betting an extreme move snaps back toward VWAP); Breakout looks
for price crossing outside the band (betting the move has momentum to
keep running). "Auto" mode lets the detected volatility regime decide
which logic applies bar by bar — Low/Medium volatility defaults to Mean
Reversion, High volatility defaults to Breakout — falling back to Mean
Reversion whenever the AI isn't ready or confident enough to trust.
Three independent, stackable filters reduce noise on top of the raw
band cross:
- Bar-Close Confirmation: a cross only counts once the bar has fully
closed, filtering out intrabar wicks that reverse before the close.
- Signal Cooldown: blocks a new signal, in either direction, for a
configurable number of bars after the last one — aimed directly at
whipsaw (price crossing back and forth across a band repeatedly).
- Band Cross Buffer (hysteresis): requires price to clear a band by a
small extra distance, in standard deviations, rather than an exact
touch, so noise sitting right on the line doesn't keep re-triggering
crosses back and forth.
AI Volume Confirmation Filter
---------------------------------
The same k-means engine used for volatility is optionally reused on raw
volume, classifying each bar's volume as Low, Normal, or High. When
enabled, signals are only allowed on Normal-or-above volume, filtering
out low-conviction moves.
Secondary VWAP
-----------------
An optional second VWAP anchored to a different (typically higher)
period can be plotted alongside the primary one — for example a Weekly
VWAP behind a Session VWAP — for confluence, since multiple VWAP anchors
are commonly watched together rather than trusting a single one in
isolation. It is a reference line only; no bands are drawn for it.
Signal Track Record
-----------------------
An on-chart scorecard tracks, in a simple and fully model-free way, how
the signals have actually performed: each signal opens a virtual
position at that bar's close, and the next opposite-direction signal
closes it out, scored as a win or a loss purely on which way price
moved in between. No target or stop-loss assumption is built into this
score — see the Limitations section below for exactly what this number
does and does not tell you.
Status Table
---------------
An optional on-chart table shows the current regime and its confidence,
the active band scale, the current VWAP value, a "Stretch Score" (see
below), and the Signal Track Record numbers, all in one place.
Stretch Score
----------------
A signed z-score of how many standard deviations price currently sits
from VWAP. Because it's measured in the same standard deviations the
bands are drawn in, it stays consistent with whatever the adaptive band
width currently has in effect — a reading of +2.00 always means "sitting
on Band 2," whether that band is currently tight or wide.
============================================================
HOW TO USE THIS INDICATOR
============================================================
1. Start with the default settings and watch the status table for a
while before changing anything. Let the AI Volatility Clustering
lookback window fill (the table will show "Calibrating..." until it
has enough data) so the regime classification is meaningful.
2. Decide whether you want Mean Reversion, Breakout, or Auto signal
logic. Auto is a reasonable starting point since it adapts to
detected conditions automatically.
3. Watch the Confidence score alongside the regime label. If confidence
is frequently low on your instrument/timeframe, consider raising the
Minimum Regime Confidence input so the indicator falls back to
neutral behavior more readily instead of acting on ambiguous calls.
4. Use the Stretch Score to judge how extended price currently is
relative to VWAP in a way that stays consistent even as band width
adapts.
5. Treat the Signal Track Record as a rough, ongoing sanity check on
signal quality — not a backtest and not a promise (see Limitations).
6. This is a visual/analytical tool, not an auto-trading system. It
does not place trades. Any alerts it can generate are notifications
only.
============================================================
INPUT GROUPS (SUMMARY)
============================================================
VWAP Settings
- Anchor Period (Session / Week / Month / Quarter / Year)
- Source price used for the VWAP calculation
Secondary VWAP (Confluence)
- Show/hide toggle, its own anchor period, and its own color
Standard Deviation Bands
- Independent show/hide and distance (in standard deviations) for
three bands, plus a toggle for the gradient fill shading around them
AI Volatility Clustering (K-Means)
- Enable/disable the clustering engine
- ATR length used as the raw volatility reading that gets clustered
- Clustering lookback window (bars) and reclustering frequency
- Number of k-means refinement iterations per reclustering
- Adaptive band width toggle and the three per-regime scale factors
- Minimum Regime Confidence threshold
Signals
- Show/hide signal markers
- Signal Mode (Mean Reversion / Breakout / Auto)
- Volume confirmation filter toggle
- Bar-close confirmation toggle
- Signal cooldown (bars)
- Band cross buffer (hysteresis, in standard deviations)
Visuals
- Regime background highlight toggle
- Status table toggle and Signal Track Record toggle
- Colors for VWAP, each band, each regime, and each signal direction
============================================================
REPAINTING & REAL-TIME BEHAVIOR
============================================================
This script does not use any higher-timeframe security() calls and does
not look ahead — every value at every historical bar is a function of
data available up to and including that bar. Once a historical bar is
confirmed, its VWAP, bands, regime classification, and signals do not
change on subsequent chart loads or reloads.
Like any real-time indicator, values on the currently forming (unclosed)
bar update as new price/volume ticks arrive, and will settle once that
bar closes — this is standard behavior for any live indicator, not
repainting of historical data. If you want signal markers to appear only
after a bar has fully closed rather than updating intrabar, keep the
"Require Bar Close Confirmation" input enabled (it is on by default).
============================================================
LIMITATIONS — PLEASE READ
============================================================
- The Signal Track Record is a simplified, model-free heuristic, not a
backtest. It ignores commissions, spread, slippage, position sizing,
and any stop-loss/take-profit logic, and it scores a "trade" purely by
whether price was above or below the entry price when the next
opposite signal fired. It exists to give a rough, ongoing sense of
signal direction quality — it is not a performance guarantee and
should not be relied on as one.
- K-means clustering, like any clustering method, can produce a
misleadingly high confidence score if recent volatility (or volume)
readings happen to be nearly constant for an extended window — a rare
condition, more likely on thinly-traded instruments, but worth being
aware of.
- Regime classification and adaptive behavior depend on the Clustering
Lookback window filling with data first; expect "Calibrating..." on a
freshly loaded chart or a short history until then.
- This is a discretionary analysis tool intended to support your own
judgment, not a mechanical, guaranteed-signal system. No combination
of settings eliminates false signals entirely, which is why several
independent, adjustable filters (bar-close confirmation, cooldown,
hysteresis buffer, volume confirmation, regime confidence threshold)
are provided rather than relied on individually.
============================================================
RISK DISCLAIMER
============================================================
This script is provided for educational and informational purposes
only. It is not financial advice, and it is not a recommendation to buy
or sell any security or instrument. Trading and investing involve
substantial risk of loss and are not suitable for every investor. Past
performance — whether real, simulated, or shown via the on-chart Signal
Track Record — is not indicative of future results. Always do your own
research and consider consulting a licensed financial advisor before
making trading decisions. Use this indicator, and any alerts it
generates, entirely at your own risk. Indicador
STRAT Trap & VWAP Engine [WillyAlgoTrader]📊 STRAT Trap & VWAP Engine is an overlay toolkit that reads every candle through the lens of The STRAT methodology, detects failed-breakout "trap" candles, and turns them into fully managed trade plans — entry, structural stop, three R-multiple targets, break-even automation and webhook alerts — filtered by a volatility regime engine and accompanied by a pivot-anchored VWAP trail.
The core insight: the most information-dense candle on any chart is the one that breaks a prior extreme and then closes against its own break. The market went hunting for liquidity, found it, and failed to follow through. This indicator classifies every bar the STRAT way, catches exactly those divergence candles, and manages the resulting trade for you — while a regime filter keeps you out of chop and an anchored VWAP shows where the volume-weighted crowd is positioned inside the current trend leg.
Works on all markets (crypto, forex, stocks, indices, futures) and all timeframes.
📚 THE STRAT IN 60 SECONDS (for beginners)
The STRAT is a price-action methodology popularized by veteran floor trader Rob Smith. Its power is its simplicity: every candle on every chart is one of only three types, defined purely by its relationship to the previous candle's range:
— 1 (Inside bar) : the candle's entire range fits inside the previous candle (high <= prior high AND low >= prior low). The market is in equilibrium — nobody won.
— 2 (Directional bar) : the candle breaks ONE side of the previous candle. 2U breaks the prior high only; 2D breaks the prior low only. One side won.
— 3 (Outside bar) : the candle breaks BOTH sides (high > prior high AND low < prior low). Maximum disagreement — both sides were swept.
Sequences of these numbers form repeatable patterns. A 2D-2U is a reversal (sellers pushed down, buyers answered). A 2-1-2 is a pause-and-go. A 3-1-2 is compression after chaos resolving into direction. Because the classification is purely mechanical, there is zero subjectivity — two traders looking at the same chart will always count the same sequence.
The second pillar of The STRAT is Full Timeframe Continuity (FTC) : checking whether the higher timeframes (hourly, daily, weekly, monthly) are all trading in the same direction as your entry. When the 15-minute, hourly and daily candles are all green, a long is swimming with the current, not against it.
This indicator automates all of it — and then adds the twist that gives it its name.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A STRAT pattern tells you a structure formed — but not whether the breakout that follows is genuine. A trap detector spots failed breakouts — but without structural context it fires in the middle of chop. A regime filter knows trend from range — but generates no entries by itself. A VWAP shows positioning — but a session VWAP resets at midnight regardless of what the trend is doing. None of these alone produces a complete, managed trade.
Bar classification → pattern matrix → trigger FSM → trap detection → regime + volume + FTC filters → trade engine (SL/TP1-3/BE) → anchored VWAP context
The classifier turns raw candles into STRAT numbers. The pattern matrix scans the sequence for tradeable combinations and arms a setup with exact trigger and stop levels. The trigger FSM waits for a confirmed break — or the Trap engine fires instead when a candle breaks an extreme and closes against it. Every prospective entry then passes through three independent gates (PVTE regime, volume confirmation, FTC alignment) before the trade engine takes over: structural stop, three R-multiple targets, automatic break-even, and a webhook alert at every stage. The anchored VWAP restarts at each confirmed structural pivot inside the regime, showing the volume-weighted average of the current leg — the reference institutional participants care about.
Remove any link and the chain breaks: patterns without triggers are just decoration; traps without a regime filter fade every wiggle; a trade engine without structural stops places arbitrary lines; a VWAP without pivot anchoring measures the wrong leg.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Mechanical STRAT classifier with a data-driven pattern matrix.
Every bar is classified exhaustively:
— Inside (1): high <= high and low >= low
— Outside (3): high > high and low < low
— 2U: high > high and low >= low
— 2D: low < low and high <= high
Patterns are not hardcoded if-chains — they live in a priority-ordered matrix scanned longest-first, so a 2-2-2 continuation (Extended mode) outranks the 2-2 it contains, and overlapping patterns resolve deterministically. Core set: 2-2 Rev/Cont, 3-2, 3-2-2, 2-1-2 Rev/Cont, 3-1-2, 1-2-2 RevStrat. Extended (opt-in): 2-2-2, 2-2-2-2 "Randy Jackson", 1-bar 3 RevStrat (outside bar closing beyond the prior bar's range).
2️⃣ Three-stage trigger FSM: SETUP → PENDING → TRIGGERED.
When a pattern completes on a confirmed close, the engine arms: trigger = the final pattern bar's high (bull) or low (bear), stop = the opposite side. A wick break of the trigger level on a later confirmed bar fires TRIGGERED. An adverse CLOSE beyond the stop side invalidates. No break within Setup Expiry bars (default 3) expires the setup. On an outside bar that pierces both sides, the adverse close wins — the conservative read, because the intrabar touch order is unknowable.
3️⃣ Trap Bar entry engine — the headline feature (default mode).
A trap bar is a candle whose body color contradicts its STRAT direction:
— Red 2U : broke the prior high, closed below its open → buyers were trapped above the break → SHORT
— Green 2D : swept the prior low, closed above its open → sellers were trapped below → LONG
Entry = trap bar close; stop = beyond the sweep extreme (the trap bar's own high/low) + 0.25×ATR buffer, with a 0.5×ATR minimum distance always enforced. Dojis (close == open) never qualify. Three Entry Modes: Trap Bar (default), STRAT Trigger (classic breakout entries), Both — where a trap candle on a trigger bar overrides the trigger's direction, because the failed breakout IS the trade.
4️⃣ Structural stop anchoring, four modes.
For trigger entries the SL Anchor input chooses: Trigger Level (default — just beyond the broken high/low; price trading back through the broken level means the breakout failed), Setup Bar (opposite side of the setup bar — wider, fully structural), Wick-Anchored (beyond the entry bar's own wick), or ATR (close ± SL Multiplier × ATR). All structural modes use:
stop_long = min(anchor − 0.25×ATR, close − 0.5×ATR)
which simultaneously applies the buffer and guarantees the minimum distance. A Max Risk cap (default 3×ATR, 0 = off) skips entries whose structural risk is too wide — outside-bar setups are the usual offenders.
5️⃣ Full trade management with honest intrabar accounting.
TP1/TP2/TP3 are R-multiples of the actual entry→stop distance (Risk Presets: Conservative 1R/2R/4R with 2.5×ATR stop, Balanced 1R/2R/3R, Aggressive, Scalping, or Custom). After TP1 is touched the stop moves to entry ( break-even ) — and a BE moved on a bar cannot stop that same bar out (the SL check uses the bar-start stop). When SL and a first TP1/TP3 touch land on the same bar, the TP registers and blocks the SL — an optimistic intrabar model, disclosed openly : the true touch order inside one bar is unknowable without tick data. A trade closes only at TP3, SL, or a BE stop-out. Win = TP1 was touched.
6️⃣ PVTE Regime Filter — two-threshold hysteresis, ON by default.
A 3-state regime engine (BULL / BEAR / NEUTRAL) built on a selectable basis kernel (EMA default, DEMA, HMA, KAMA; length 21) and ATR bands (length 100):
outer band = basis ± ATR × 3.0
inner band = basis ± ATR × (3.0 − 1)
Regime is entered on a confirmed close through an outer band and exits to NEUTRAL only on a close through the OPPOSITE inner band — the two-threshold gap kills flip-flopping in chop. Longs pass only in BULL, shorts only in BEAR; NEUTRAL blocks both by default (Allow mode available). Every entry — trap or trigger — must pass this gate, which converts the naturally counter-trend trap fade into a trend-continuation tool: only sweeps AGAINST the regime get faded, in the regime's direction.
7️⃣ Pivot-anchored VWAP trail.
Inside an active regime, the VWAP anchors at each confirmed structural pivot (Pivot Length 13 bars each side) in the regime direction, backfills from the pivot bar in one pass, then accumulates incrementally:
aVWAP = Σ(price × volume) / Σ(volume), from the anchor bar
It re-anchors on every new in-regime pivot and hard-resets on regime change — so the dotted trail always represents the current leg's volume-weighted average, not a stale session artifact. Pivot confirmation is honest lag: the swing is only KNOWN Pivot Length bars after it forms; the trail is drawn from the confirmed pivot forward. Delayed confirmation, not repainting.
8️⃣ FTC strip and FTC Alignment filter.
A top-center strip shows every timeframe above your chart (15m → Quarter): green/red for the current higher-TF candle direction, with ·I / ·O flags when that candle is inside/outside its predecessor. The optional Min FTC Aligned filter (default 0 = off) requires N visible higher timeframes to agree with your entry direction. Honesty note, stated in the tooltip as well: continuity is a live-state concept, so the strip and this filter read the FORMING higher-TF candles — the only reload-unstable element in the indicator; everything else is confirmed-close based.
9️⃣ Volume confirmation gate.
Optional filter requiring entry-bar volume > SMA20 × threshold (default 1.2), automatically bypassed on instruments without volume data. Applies to both entry sources.
🔟 Bot-grade alert architecture.
Every event emits a structured JSON webhook (or human-readable text): setup_bull/bear, trigger_bull/bear, trap_long/short, be, tp1_hit, tp2_hit, tp3_close, sl_hit. Entry payloads carry pattern, price, entry, sl, tp1-3, the PVTE regime (−1/0/1) and a compact FTC string like "1H+4H+D-W+". Closure payloads carry the result (win/loss) and a be_stop flag — built from pre-reset snapshots so same-bar event collisions can never produce NaN fields. Alerts follow a fixed intrabar chronology (management → closures → entries → setups) and five category toggles let a bot mute any stream it doesn't act on. Nine static alertcondition entries cover the TV alert dialog.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Classify: On every bar the STRAT type (1 / 2U / 2D / 3) is computed and, on confirmed close, appended to the sequence.
Step 2 — Match: The pattern matrix scans the sequence newest-first, longest patterns first; the first match arms a setup with trigger/stop at the final pattern bar's extremes.
Step 3 — Resolve: A pending setup is checked each confirmed bar: adverse close → invalidated; wick break of the trigger → TRIGGERED; expiry (default 3 bars) → expired. Setup lines freeze and dim on any resolution.
Step 4 — Detect traps: Independently, every confirmed bar is tested for the trap condition (2U closing red / 2D closing green).
Step 5 — Filter: The prospective entry (trap first in Both mode) must pass PVTE regime, volume and FTC gates, then the Max Risk cap.
Step 6 — Open & manage: Entry at close; SL/TP1-3 computed; each later confirmed bar checks TP touches (TP priority), moves BE after TP1, and closes on TP3/SL/BE stop-out. Lines project forward, extend while active, persist after close as a record, and recolor teal on TP hits.
Step 7 — Track context: The PVTE regime FSM updates on closes; the anchored VWAP accumulates, re-anchors on new pivots, resets on regime change.
Step 8 — Report: Dashboard sections refresh (sequence, setup state, trade, session stats), and the alert engine emits events in fixed chronological order.
📖 HOW TO USE
🎯 Quick start:
1. Add the indicator to a clean chart. Defaults are ready to observe: Trap Bar entries, PVTE filter ON, regime bands and anchored VWAP visible.
2. Watch the numbers under the candles: 1 = pause, 2 = direction, 3 = sweep of both sides. This alone teaches you The STRAT faster than any book.
3. Wait for a LONG · Trap 2D or SHORT · Trap 2U label — the indicator found a failed break aligned with the regime and opened a managed plan.
4. Follow the plan on the chart: dotted entry line, solid red stop, dashed green targets. Watch TP1 turn teal and the entry label switch to "→ SL (BE)".
5. Once comfortable, create ONE TradingView alert with condition "Any alert() function call" and paste your webhook URL — every event now reaches your phone or bot in JSON.
👁️ Reading the chart:
— Numbers 1/2/3 under bars = STRAT types (amber, green/red, magenta)
— 🟢 LONG · / 🔴 SHORT · labels = trade entries with the source pattern; the tooltip shows entry, SL, TP1-3 and risk
— ▲ / ▼ labels = STRAT triggers that did NOT open a trade (engine busy or filtered) — still valid signals for manual traders
— Solid/dotted horizontal pairs after a pattern = pending trigger (colored) and stop (muted); they dim if invalidated or expired
— Small triangles = hammer (below) / shooter (above), wick-dominant candles by the Actionable Wick fraction (default 0.75)
— Colored bands = PVTE regime envelope; dotted trail = anchored VWAP of the current leg
— Dashed horizontal levels = previous Day/Week/Month high/low with price tags (lookahead-safe)
— Top-center strip = Full Timeframe Continuity at a glance
📊 Dashboard fields:
— Seq: the last four confirmed STRAT types, oldest left
— Setup: pending pattern, direction and bars-waited/expiry — or "idle"
— Levels: the pending trigger (T) and stop (S) prices
— Candle: Hammer / Shooter / Inside on the current bar (informational)
— PVTE: current regime — BULL / BEAR / NEUTRAL / Off
— Trade section: entry, stop (with "BE @" after break-even), TP1-3 with ✓ marks, R:R at TP1, stop distance in %
— Stats section: trades, wins, losses, win rate with gauge, and the ▰▱ form strip of the last 10 — for the selected period (24H / 30D / All-Time)
🔧 Tuning guide:
— Too few trades: switch In NEUTRAL Regime to Allow, or set Entry Mode to Both, or raise Max Risk
— Too many shallow trades in chop: keep NEUTRAL = Block, raise the PVTE ATR Multiplier (wider regime bands), or add Min FTC Aligned = 2
— Stops feel too tight: change SL Anchor to Setup Bar (structural, wider) — targets scale with the wider risk automatically
— Stopped out by noise at breakeven: that is the cost of the BE rule; disable Break-Even After TP1 if you prefer to let trades breathe
— Chart too busy: Setup Labels, Trigger Labels and bar coloring are already off by default; Regime Bands and the VWAP trail have their own toggles
— Learning mode: turn Setup Labels and Trigger Labels ON and Trade Engine OFF — the chart becomes a pure STRAT trainer
⚙️ KEY SETTINGS
🎨 Appearance: Theme (Auto/Dark/Light — the palette adapts, signals stay readable on white and black), watermark, bar coloring (off), bar numbers (on), Signal Label Size.
📐 Pattern Engine: Extended Patterns (off), Setup Labels (off), Max Pattern Drawings (60, FIFO).
🎯 Trigger Engine: Setup Expiry (3 bars), Trigger/Stop Lines (on), Trigger Labels (off).
🛡️ Risk Management: Trade Engine (on), Entry Mode (Trap Bar), Risk Preset (Balanced), SL Anchor (Trigger Level), SL Buffer (0.25×ATR), ATR Length (14), TP1/2/3 multipliers (Custom preset), Max Risk (3×ATR), Break-Even After TP1 (on), line styles, label toggles, % distance on labels.
🔍 Filters: Volume Confirmation (off, ×1.2 SMA20), Min FTC Aligned (0 = off).
🌊 PVTE Regime Filter: filter toggle (on), Basis Kernel (EMA), Basis Length (21), ATR Length (100), ATR Multiplier (3.0), NEUTRAL behavior (Block), Regime Bands (on), Anchored VWAP (on), VWAP Pivot Length (13), VWAP Source (Close).
🕯️ Actionable Candles: hammer/shooter marks (on), Min Wick Fraction (0.75).
📊 Dashboard: position, size (Small-Huge), Market/Trade/Stats section toggles, Win Rate Period.
🔔 Alerts: master Enable, JSON/Text format, five category toggles (Entries, TP/BE, SL, Filtered Triggers, Setups).
🔔 ALERTS
— 🟢 trigger_bull / trap_long — entry with pattern, price, entry, sl, tp1-3, regime, ftc
— 🔴 trigger_bear / trap_short — mirrored short payload
— 🎯 tp1_hit / tp2_hit — target touches with level and entry
— 🛡️ be — stop moved to break-even
— 🏆 tp3_close — final target, result "win"
— 🛑 sl_hit — stop-out with be_stop flag and win/loss result
— 📐 setup_bull / setup_bear — a pattern armed with its trigger/stop levels
— Plain trigger alerts for signals that did not open a trade (filters/engine busy)
All fire on confirmed bar close. One alert covers everything: condition "Any alert() function call". Nine static alertcondition entries are also available in the TV dialog.
⚠️ IMPORTANT NOTES
— 🚫 No repainting of signals. Classification is fixed on bar close; all setups, triggers, traps, entries and closures are evaluated on barstate.isconfirmed only; pivots for the VWAP anchor use equal left/right lookback (delayed confirmation, drawn forward from the confirmed bar). One disclosed exception by design: the FTC strip and the optional FTC Alignment filter read the FORMING higher-timeframe candles, because timeframe continuity is a live-state concept — an entry allowed live can look filtered after a reload. That filter is OFF by default.
— 📐 Optimistic intrabar model. When SL and a first TP touch share one bar, the TP is credited (TP priority). Session statistics use this model and the "win = TP1 touched" definition; they reset on chart reload and are NOT a backtest — no commissions, slippage or position sizing.
— ⚖️ Trap entries are regime-gated fades. With the PVTE filter off, the trap engine will fade every divergence candle, including mid-range noise. The default configuration (NEUTRAL = Block) is intentional.
— 🛠️ This is an analysis tool, not an automated bot. It provides classification, signals, trade plans and alerts — trade decisions remain yours.
— 🌐 Works on all markets and timeframes. Instruments without volume data: the VWAP falls back to the price source and the volume filter bypasses automatically.
— 📚 The STRAT is a public price-action methodology popularized by Rob Smith. This is an original clean-room implementation: no third-party code is reused, and the pattern engine, trap logic, trade management and regime integration are built from scratch as described above. Indicador
Multi-Timeframe MA & VWAP FrameworkOverview
The Multi-Timeframe MA & VWAP Framework is a highly customizable, all-in-one trend and volume tracking tool. Designed for professional and minimalist traders, this framework allows you to build the ultimate moving average ribbon without cluttering your charts.
Instead of stacking multiple indicators, this single script gives you access to 10 fully customizable moving averages, 3 true time-based Rolling VWAPs, and integrated SSL Hybrid baselines—all controllable via clean master toggles and right-edge labels.
🔑 Core Features
1. 10 Fully Customizable Moving Averages
Configure up to 10 independent MAs. For each line, you can select:
Type: SMA, EMA, WMA, VWMA, RMA, HMA, ALMA, DEMA, TEMA, and standard VWAP.
Timeframe: Native Multi-Timeframe (MTF) support. Plot 1H, 4H, 1D, or 1W MAs directly on your intraday chart.
Style: Line, Circles, Crosses, Stepline, or Area.
Color & Visibility: Individual toggles for every single MA.
2. Group Master Toggles
To keep your chart perfectly clean, MAs are grouped into three categories (1-4, 5-8, 9-10). Use the Master Toggles to instantly show or hide entire groups without changing individual settings.
3. True Rolling VWAP Engine
Standard VWAPs reset every session. This framework includes a custom-built True Rolling VWAP engine that uses arrays to track exact time windows.
Set a Multiplier and a Timeframe (e.g., 7x 1D for a 7-day Rolling VWAP, or 2x 4H for an 8-hour Rolling VWAP).
The engine dynamically prunes old volume data, ignoring weekends and chart gaps for mathematically accurate institutional volume tracking.
4. Integrated SSL Hybrid Baselines (MAs 9 & 10)
By selecting "SSL1" or "SSL2" for MA 9 and 10, you activate the SSL Hybrid baseline logic. This plots a Hull Moving Average (HMA) baseline with Keltner Channel bands. The baseline dynamically changes color (Bullish, Bearish, Neutral) based on price location, providing instant trend confirmation.
5. Smart Right-Edge Labels
Keep track of your MAs without guessing. The framework places tiny, clean labels on the right edge of the chart detailing the MA Type, Length, and Timeframe (e.g., EMA 50 4H). Label sizes are adjustable (Tiny, Small, Normal).
6. Optional Pair Fills
Enable translucent fills between paired MAs (1-2, 3-4, 5-6, etc.). The fill color dynamically changes based on which MA is currently higher, acting as a subtle visual cue for trend shifts and volume divergence.
🛠 How to Use This Framework
Start Clean: By default, MAs 1-4 are active. Use these for your primary trend (e.g., VWMA/SMA 50 combinations).
Add MTF Anchors: Enable MAs 5-8 and set their timeframes to higher periods (e.g., 4H, 1D, 1W) to see where higher-timeframe price action is respecting moving averages.
Activate SSL for Trend Confirmation: Turn on MA 9 or 10, set the type to SSL1/SSL2, and watch the baseline dynamically shift colors to confirm your trade direction.
Add Institutional Volume: Enable the Rolling VWAPs. A 1x 1D RVWAP gives you the standard daily anchor, while a 30x 1D RVWAP gives you a macro 30-day institutional average.
Declutter: If you only want to look at the SSL and a single EMA, uncheck the Master Toggles for the groups you don't need.
📌 Credits & Inspirations
This framework is an open-source compilation heavily modified and custom-coded into a unified suite. Special thanks to the original concepts:
Rolling VWAP concept: TradingView Official Rolling VWAP
VWMA/SMA Divergence logic: VWMA/SMA Breakout and Divergence Detector
SSL Hybrid baseline: SSL Hybrid by KivancOzbilgic
⚠️ Disclaimer
This script is provided for educational and analytical purposes only. It is not financial advice. Always test indicators on a paper trading account before incorporating them into a live trading strategy. Indicador
Volume Profile Anchored VWAP, AVWAP Bands & Deviation [LunqFX]Most anchored VWAP tools make you drag the anchor by hand, and it goes stale the moment structure changes. This one places the anchor automatically at confirmed swing pivots, wraps it in volume weighted standard deviation bands, hangs the leg's volume profile off the right edge, and then measures whether those bands are being respected on the symbol in front of you.
The annotated charts below explain the script's output element by element.
❶ AUTO ANCHORED VWAP
An anchored VWAP is only meaningful from a point that mattered. Anchor it at an arbitrary bar and it describes nothing; anchor it where the market last turned and it becomes the average price everyone trading THIS leg is carrying — which is exactly the level they defend.
The anchor is placed at confirmed swing pivots, with two guards that matter more than they sound:
▸ MINIMUM LEG — a fresh pivot cannot take over until the running leg has had room to form. Without that rule a cluster of pivots chops the curve into stubs and the VWAP never describes anything. ▸ MAXIMUM LEG — a leg that outlives its usefulness resets rather than growing into a whole-history average.
Session, weekly and monthly anchors are available for traders who prefer calendar anchoring.
❷ STANDARD DEVIATION BANDS
Around the anchored VWAP the script draws volume weighted standard deviation bands at three depths, filled as a gradient so distance from fair value is readable without measuring. Three details make them behave:
▸ WARM-UP — at the anchor the deviation is zero by definition, so the first bars of every leg would draw as a collapsing funnel. Those bars are still measured; they are simply not drawn. ▸ MINIMUM WIDTH — an ATR floor stops the bands pinching shut during dead stretches. ▸ DISPLAY SMOOTHING — the deviation path is box-filtered for drawing only. The VWAP itself and every statistic use the raw values, so nothing you act on is smoothed.
❸ VOLUME FLOW
Each bar's participation is drawn as fine texture reaching inward from the band edges: buy pressure rises from the lower edge, sell pressure falls from the upper one, split by where the bar closed inside its own range. The bands are the baseline, so the leg's pressure reads along the structure instead of on a separate pane.
❹ VOLUME PROFILE OF THE LEG
At the right edge the script hangs the volume distribution of the whole leg, split buy against sell, with a seam line at the join and a traced outline. Each bar is binned against its OWN slice of the channel rather than a fixed price grid, so a sloping leg does not smear the distribution — a detail most profile overlays skip, and the reason the shape stays honest on a trending market.
❺ BAND REACTION STATISTICS
Bands tell you where price is. They do not tell you what that has meant here. So the script measures it: for every touch of the chosen band inside the current leg it checks whether price returned to the VWAP within your window, and reports the share that did, together with the number of touches.
That single number changes how the same picture is read. A leg where touches of the upper band came back to VWAP most of the time is mean-reverting, and the band is a fade. A leg where they did not is trending, and the same touch is continuation. Samples too small to conclude anything from are marked with a tilde rather than presented as a result.
❻ WHAT YOU SEE ON THE CHART
▸ Dashed vertical line with the ANCHOR badge — where the current leg begins. ▸ Three teal bands below and three red bands above, filled as a gradient — deviation depth from the VWAP. ▸ Dark line through the middle — the anchored VWAP itself. ▸ Fine ticks along the band edges — per-bar buy and sell participation. ▸ Horizontal rows at the right edge — the leg's volume profile, teal for buy, red for sell. ▸ Panel — side of the VWAP, distance in σ with a position ruler, the VWAP and band levels, and the reaction statistics.
❼ HOW TO TRADE IT
1 — Read the header. Above or below the anchored VWAP is the leg's bias; the σ figure is how stretched price is right now. 2 — Check the reaction row before deciding what a band touch means. High return rate means the bands are fades. Low return rate means they are continuation. 3 — Use the VWAP as the leg's fair value. Pullbacks into it in the direction of the leg are the cleanest entries this tool produces. 4 — Use the volume profile to find where the leg actually traded. Thin rows are areas price passed through quickly and tends to pass through quickly again. 5 — Watch the anchor. A new anchor means structure turned and the previous leg's levels stopped applying.
❽ NON-REPAINTING
This is the part that separates an anchored VWAP from a rolling regression channel, and it is worth being precise about. The anchor is a CONFIRMED pivot and only ever moves forward. A VWAP is cumulative, so once a bar closes its contribution to the average is fixed forever — every band value already printed stays exactly where it is. Nothing is recalculated behind you. Every statistic is built from closed bars only.
SETTINGS
▸ Anchor — anchor mode (swing pivot, session, week, month), pivot length, minimum and maximum leg. ▸ Bands — three deviation depths, warm-up bars hidden, minimum width in ATR, display smoothing, gradient fill and VWAP line toggles. ▸ Volume Flow — texture height in ATR and thickness. ▸ Volume Profile — rows, width, thickness, seam and outline toggle. ▸ Band Reaction — which band counts as a touch, the reaction window, optional touch markers. ▸ Visuals — candle colouring, anchor marker, dashboard position.
ALERTS — upper band touch, lower band touch, VWAP reclaimed, VWAP lost, and new anchor. All fire on closed bars only.
WHY THESE PARTS ARE ONE SCRIPT
They describe one object at four resolutions. The anchor defines the leg; the standard deviation bands measure dispersion inside it; the flow and the volume profile show where its volume actually went; and the reaction statistics say whether that structure is being respected. Take the anchor away and the VWAP averages a period nobody traded as a unit. Take the profile away and the bands float above an unknown distribution. Take the statistics away and the bands become decoration you have to interpret by feel. None of them stands alone, which is why they ship together.
Works on any symbol with volume — forex, metals, indices, crypto and stocks — on intraday and higher timeframes alike. Symbols without real volume data will report a flat profile.
This indicator is an educational market-analysis tool, not financial advice. The reaction statistics describe the recorded historical behaviour of the current leg on the loaded chart; past behaviour does not predict future results. Always confirm with your own analysis and manage your risk. Indicador
VWAP Reversal Probability Signals🟠 OVERVIEW
VWAP Reversal Probability Signals tracks price movements around an anchored VWAP and two volume-weighted standard deviation bands. It looks for price excursions outside these bands and waits for price to move back through the same band before marking a potential reversal.
Each reversal signal is paired with a fixed VWAP target. The script records whether price reaches that target within a user-defined number of bars and displays the historical success rate for each band independently. This allows traders to compare how different reversal distances have performed over time instead of treating every signal the same.
🟠 CONCEPTS
Anchored VWAP — A volume-weighted average price that resets at the selected session, week, month, quarter, or year and acts as the central reference level.
VWAP Deviation Bands — Upper and lower bands created from volume-weighted standard deviation multiples around the anchored VWAP to define progressively larger price extensions.
Reversal Signal — Generated when price first extends beyond a deviation band and then closes back through that same band, indicating that the extreme move has started to reverse.
VWAP Target — Every signal uses the current anchored VWAP as its fixed target, allowing completed signals to be measured using the same destination.
Reversal Probability — The historical percentage of completed signals from each individual band that reached the VWAP target before the expiry period.
🟠 FEATURES
Anchored VWAP and Reversal Bands — Displays the anchored VWAP together with two configurable upper and lower deviation bands.
Reversal Signal Markers — Shows bullish and bearish reversal signals after price returns back
through the selected deviation band.
Historical Probability Labels — Displays the historical VWAP target hit rate beside each new reversal signal for the corresponding band.
VWAP Target Lines — Draws a projected target from every signal to the current VWAP until the trade either succeeds or expires.
Target Confirmation Marks — Places a confirmation mark when a tracked signal reaches its VWAP target within the selected expiry window.
🟠 HOW TO USE
Choose the VWAP anchor period that matches your trading style, such as session, week, or month.
Watch for price to extend beyond a VWAP deviation band and then move back through that same band before considering a reversal signal.
Compare the probability label shown with the signal to understand how that band has performed historically.
Use the dashed VWAP target line as the expected mean reversion objective for the active signal.
Treat the displayed probability as historical context rather than a prediction of future performance.
🟠 CONCLUSION
VWAP Reversal Probability Signals combines an anchored VWAP, volume-weighted deviation bands, reversal signals, and historical outcome tracking. By measuring how often each type of reversal has returned to the VWAP, it provides both reversal locations and statistical context for those signals. Indicador
Modern VWAP [GBB]What does VWAP actually mean on an asset that never closes?
That question is why I decided to give the good old VWAP a bit of an update for 2026 markets. VWAP is the average price actually paid since some starting point — the anchor. On stocks the anchor is obvious: the opening bell. Bitcoin has no bell. What your chart calls
"the session" is midnight UTC — a timezone convention, not a market
event.
Modern VWAP is an anchored VWAP with sigma bands that anchors itself, runs up to three instances at once, and only fires each signal family in the regime that family was designed for.
THE FOUR LAYERS
L0 — Baseline. VWAP of hlc3 accumulated from the anchor, with bands at one, two and three sigma, where sigma is the volume-weighted deviation of price around the VWAP itself — not a standard deviation of closes. On the same anchor this matches TradingView's built-in VWAP.
L1 — Auto-anchoring. This replaces the click-to-anchor workflow. Anchors are either periodic — Session, Week, Month — or Swing, which re-anchors at a confirmed pivot high or low (pivot length 10 by default, 5 to 50). When a pivot confirms, the accumulators are rebuilt from the pivot bar itself, so the swing VWAP includes the heavy volume around the turn instead of starting after it. Composite mode runs up to three anchored VWAPs together.
L2 — Adaptive bands. The sigma multiplier is scaled by the Kaufman Efficiency Ratio: choppy tape widens the bands, trending tape tightens them. Off by default.
L3 — Regime-gated signals. A KER and ATR quadrant decides whether the tape is trending or ranging, and each family only fires in its own regime. Mean reversion fires in ranging only: price closes outside the two-sigma band, then closes back inside — inside both bands, so a
candle that crosses the entire channel fires nothing. Trend continuation fires in trending only: a pullback to VWAP that holds within three bars. Direction comes from side occupancy, 8 of the last 10 closes above or below VWAP, deliberately not from VWAP slope.
HOW TO READ THE CHART
Instance A is the one that matters. Its line, its bands, and its colour: the band colour is the regime readout. Purple is trending, yellow is ranging, grey is undefined and still warming up.
Instances B and C are context. They draw their VWAP line and the two-sigma pair only, in their own colours, so a weekly or swing anchor can sit behind your primary one without burying the chart.
Signals are labelled: MR pills for mean reversion, TC triangles for trend continuation, green for long and red for short, on confirmed bars only. There are four alert conditions, one per family.
One thing to know: the signals and the regime colour always read Instance A, whatever B and C happen to be anchored to.
SETTINGS
Composite — turn instances A, B and C on or off, each with its own anchor: Session, Week, Month or Swing. Defaults are A on Session, B on Swing, C off on Week.
Swing pivot length — 10 by default, range 5 to 50. Longer means fewer and larger swings, and a longer confirmation lag.
KER-adaptive bands, and KER weight — the L2 toggle, off by default, weight 0.5 on a 0 to 1 range.
Signal markers — turn the markers off and keep the alerts.
Colours — seven inputs. The defaults are tuned for a dark chart; adjust the accents if you trade on white.
Parity mode — leave this off. It replaces the display with the raw numeric fields I used to verify the Pine build against my reference
If you are starting out: leave everything at defaults.
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BBG Trap Score Indicator=================================================================
Trap Score - Institutional Liquidity & Trapped Trader Index
=================================================================
DESCRIPTION:
The Trap Score Index is a quantitative, non-repainting trading indicator designed to detect inducement, liquidity sweeps, trapped buyers, trapped sellers, absorption, and failed breakouts near key higher-timeframe (HTF) level locations.
Rather than relying on subjective pattern recognition, this tool translates order flow dynamics and price action into a deterministic 0 to 100 Trap Score computed at the close of every candle.
CORE CONCEPT:
Markets frequently generate fake breakouts beyond key swing highs and lows to trigger retail stop orders and attract aggressive breakout traders into illiquid positions. When institutional participants absorb these breakout orders, price fails to advance and reclaims the broken level, leaving retail traders trapped.
This indicator calculates two independent normalized metrics:
• 🟥 Bearish Trap Score: Measures trapped buyers at key resistance ➔ Short Setup
• 🟩 Bullish Trap Score: Measures trapped sellers at key support ➔ Long Setup
11 QUANTITATIVE SCORING FACTORS (100 Points Max):
Each candle evaluates 11 weighted mathematical conditions to build the 0–100 score:
1. Liquidity Sweep at Level (15 pts): Candle wicks past an N-bar swing level and closes back inside with wick ratio ≥ 35% and sweep distance ≤ 0.50 ATR.
2. Failed Breakout / Reclaim (15 pts): Price traded outside a key level and failed to hold outside within 3 bars.
3. Extreme Delta (10 pts): Intrabar volume delta ≥ 2.0× its 20-period average.
4. Volume Expansion (10 pts): Candle volume ≥ 1.5× its 20-period SMA.
5. Absorption (15 pts): Extreme volume/delta expansion accompanied by minimal price progress (≤ 0.15 ATR).
6. Delta-Price Divergence (10 pts): Volume delta achieves a new 5-bar extreme while price close fails to confirm.
7. Large-Trade Absorption (10 pts): Extreme volume spike (≥ 2.5× average) with a large wick (≥ 40%) and price progress ≤ 0.15 ATR.
8. HTF Location Proximity (10 pts): Current price within 0.15 × HTF ATR of HTF Swings, Previous Day High/Low (PDH/PDL), Previous Week High/Low (PWH/PWL), or Session VWAP.
9. VWAP / Value Area Rejection (5 pts): Rejection wick crossing Session VWAP or ± 1 stddev bands.
10. Confirmation Candle (5 pts): Candle close confirming directional momentum past the sweep range.
11. Exhaustion (5 pts): 3 consecutive bars of declining volume with narrow candle range (< 0.50 ATR).
HOW TO TRADE WITH TRAP SCORE:
1. Conviction Tiers & Signal Thresholds:
• Score < 50: Neutral / No Trade
• Score 50 – 64: Low Conviction (Observe)
• Score 65 – 79: Standard Setup (Default Alert Trigger)
• Score 80 – 89: High Conviction Setup
• Score ≥ 90: Exceptional Setup
2. Entry Rules:
• Enter on the open of the bar following a confirmed signal candle where Trap Score ≥ 65.
• Ensure market has not established acceptance outside the swept reference level.
3. Stop Loss Placement:
• Long Position: Sweep Low - (ATR × 0.10)
• Short Position: Sweep High + (ATR × 0.10)
4. Profit Targets (Partial Scale-Out):
• TP1 (50%): At 1.0R or Session VWAP (Move stop loss to Breakeven).
• TP2 (25%): At range midpoint or opposing value area.
• TP3 (25%): At opposing liquidity pool (PWH for longs, PWL for shorts) or 3.0R.
KEY SETTINGS & CUSTOMIZATION:
• HTF Resolution: Higher timeframe context resolution (Default: 240 / 4H).
• Swing Lookback: Number of bars to confirm reference highs and lows (Default: 20).
• Minimum Entry Score: Configurable signal score threshold (Default: 65).
• Dashboard Table: Toggleable top-right status summary panel displaying live scores, conviction levels, sweep states, and signals.
NON-REPAINTING GUARANTEE:
This indicator uses strict non-repainting Pine Script v6 syntax. Higher timeframe security requests fetch only closed completed bars (lookahead = barmerge.lookahead_off) to prevent lookahead bias or hindsight repainting.
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LIQS and FIBS Scalp SystemOverview
The "LIQS and FIBS Scalp System" is an advanced Smart Money Concepts (SMC) and Price Action indicator designed for traders seeking high-probability scalping and day trading setups. Instead of relying on lagging indicators, this system dynamically maps critical liquidity sweeps, structure shifts, and optimal trade entry zones based entirely on pure price action.
Key Features
HTF Market Structure Bias (No EMA Lag):
The core of the system determines the main trend bias by tracking the most recent Break of Structure (BOS) or Change of Character (CHoCH) on your selected Higher Timeframe (HTF). If the HTF just broke a swing high, your bias is firmly Bullish. If it broke a swing low, your bias is Bearish. This ensures you are always trading in alignment with true institutional market structure, not a delayed moving average.
HTF Sweeps & Reversals:
Automatically identifies liquidity sweeps at Higher Timeframe highs and lows. It monitors price action around these key historical pivot levels and highlights potential reversal pinbars right at the sweep zones.
LTF BOS & CHoCH Logic:
Detects micro Break of Structure (BOS) and Change of Character (CHoCH) patterns to spot short-term momentum shifts in real-time, helping you catch the very beginning of a new leg.
Deep Fibonacci Setups & Runner Targets:
Following a valid CHoCH, the indicator automatically draws Fibonacci retracement zones (0.318 - 0.618) representing optimal entry points. It dynamically projects logical Stop Loss zones and extends up to Target 6 for runners to capture massive long-term trends:
Target 1 & Target 2 for short-term scalps.
Target 3 & Target 4 (3.618 - 4.236 extensions) for day trades.
Target 5 & Target 6 (5.618 - 6.854 extensions) to hold your runners and ride extreme trend continuation.
A-Plus Setup Filter & VWAP:
To protect you from fake breakouts and low-probability trades, the system validates every entry.
Pro-trend setups that align with both the HTF Structure Bias and the VWAP are highlighted with colored entry and target boxes.
Counter-trend or low-probability setups are visually muted (grayed out) so you can easily ignore them.
Built-in alerts notify you only when a micro CHoCH perfectly aligns with the HTF trend direction!
How to Use
Wait for price to sweep an HTF liquidity level, watch for a valid CHoCH in the opposite direction, and set your limit orders inside the highlighted 0.318 - 0.618 Fibonacci reaction box. Trust the colored boxes (A-Plus setups) and ignore the gray ones. Take partial profits at T1 and T2, then leave runners for the deeper T3 to T6 targets!
Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading in financial markets involves a high degree of risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own research, use strict risk management, and perform thorough backtesting before trading with real funds. Indicador
Futures Session TWAP + Bands - CFD ChartsAn anchored TWAP (time-weighted average price) with 1/2/3-sigma bands that
knows when the real market is actually open — built for CFD and cash-index
charts whose 24h quotes distort classic session averages.
What makes it original: a TWAP weighs every bar equally, so on a 24h CFD chart
the thin overnight bars count as much as the liquid session and drag the line
away from the number execution desks reference. This indicator pulls the
volume of the auto-detected futures contract and uses it as a SESSION GATE:
only bars where the future actually traded are counted. It also plots an
optional futures-volume VWAP on the same anchor, so the TWAP-vs-VWAP spread
becomes readable at a glance — that spread is the point of the pair.
How it works:
- TWAP = equal-weight average of the chart's price (hlc3 by default) over the
anchor period (session/week/month); bands from the time-weighted variance.
- Session gate (optional, on by default): bars without futures volume are
skipped, so the TWAP covers the real trading session. Only session/volume
information is borrowed from the future — the price stays this chart's
price, so the futures-vs-cash basis cannot distort the level.
- The futures contract is auto-detected from the chart symbol (DAX/GER40 ->
FDAX, NAS100 -> NQ, US30 -> YM, UK100 -> Z, US500 -> ES), or set manually.
- Optional "Daily anchor = futures trading day" resets at the futures day
change instead of CFD broker midnight, matching the sibling VWAP tool.
- A status label shows the active source, the gate state and the current
VWAP-minus-TWAP spread.
How to use it: the TWAP is the fair time-average of the session — the line an
evenly-sliced execution would achieve. Compare it with the futures-volume
VWAP: VWAP above TWAP means volume was concentrated above the time average
(participants paid up), VWAP below TWAP means volume traded below it. The two
lines glued together signals balanced rotation; a widening spread marks
one-sided participation. The 2/3-sigma bands frame statistically stretched
zones relative to the session mean. Check the status label once after loading
to confirm the futures feed is active.
*This script is part of a consistent set of open-source session, range and
volume tools — the companions are on my profile.* Indicador
Indicador
VWAP Suite I EonMetricsVWAP Suite
VWAP Suite plots three independently anchored Volume-Weighted Average Price lines — Session, Weekly and Monthly — with volume-weighted deviation bands and the previous period's VWAP close kept on the chart as a reference level. Everything is computed from first principles at each anchor, so every line resets exactly where its period starts.
🔶 WHAT VWAP IS
VWAP is the average price of the period weighted by how much volume traded at each price. It answers one question: "what is the fair average price actually paid since the anchor?" That is why institutional execution desks benchmark fills against it, and why price so often reacts when it returns there — it is the level where the average participant in the period is at break-even. Above the VWAP the average buyer of the period is in profit; below it, under water.
🔶 WHAT IT DOES
Three anchors — Session (resets each trading day), Weekly and Monthly VWAP, each with its own toggle and color. Intraday traders typically work with Session, swing traders add Weekly, and Monthly serves as the higher-timeframe fair-value reference. Anchors that make no sense on the current chart timeframe (e.g. a Session VWAP on a daily chart) hide themselves automatically.
Deviation bands — ±1σ, ±2σ and optional ±3σ around ONE chosen anchor. The deviation is volume-weighted and anchored to the same period as the VWAP it wraps — not a rolling standard deviation — which is the statistically consistent way to band a VWAP (the same math TradingView's built-in VWAP bands use). ±2σ is the classic stretched-price reference; the optional gradient fill keeps the zones readable without clutter.
Previous VWAP Close — the exact level where the Session (or Weekly) VWAP finished its previous period, drawn flat through the current one. The same idea as previous day high/low, but volume-based: yesterday's fair price is a natural magnet and reaction level for today. Few VWAP tools carry this level forward — it is the reason this suite exists.
🔶 HOW IT IS CALCULATED
From each anchor the script accumulates three sums bar by bar: volume × price, volume, and volume × price². VWAP = Σ(volume × price) / Σ(volume). The band deviation comes from the volume-weighted variance Σ(volume × price²)/Σ(volume) − VWAP². At every period rollover the previous VWAP value is captured first, then the sums reset to zero. Values only update on confirmed data — there is no repainting logic anywhere in the script.
🔶 ALERTS
Seven alert conditions: price crossing each of the three VWAPs, price touching the +2σ or −2σ band, and price crossing the previous Session or previous Week VWAP close.
🔶 HOW TO USE
1. Pick your anchors — Session for intraday, add Weekly for swing context.
2. Choose which anchor carries the deviation bands (Bands Around).
3. Keep Previous Session VWAP on — reactions at yesterday's fair price are the cleanest thing this tool shows.
4. Set alerts on the crossings you actually trade around.
🔶 SETTINGS
Source (price input, hlc3 default) · Anchors (Session / Weekly / Monthly, each with color) · Deviation Bands (anchor selector, ±1σ/±2σ/±3σ toggles, gradient fill) · Previous VWAP Close (Session / Weekly levels).
🔶 HONEST LIMITATIONS
On CFDs and spot forex the data feed reports TICK volume (number of price updates), not true traded volume. VWAP built on tick volume is still the standard practice on those markets and tracks the real one closely on liquid symbols, but you should know what feeds the math. On symbols with no volume data at all the script deliberately shows nothing rather than fake a line. VWAP is a descriptive average, not a prediction — this tool draws levels, it does not generate signals.
Part of the EonMetrics toolset.
Indicador
Institutional VWAP Bands [JOAT]Institutional VWAP Bands
An anchored VWAP with standard-deviation bands that classifies price as cheap, fair or expensive and offers two complementary playbooks: mean reversion and trend pullback.
What it is
VWAP is the benchmark institutions measure their own fills against — the market's running notion of fair value. Standard-deviation bands around it map where price is stretched relative to that benchmark. This indicator runs an anchored VWAP with three band pairs and turns them into a structured, non-repainting decision tool rather than a plain VWAP line.
How it works
• Anchored VWAP — volume-weighted average price accumulated from a chosen anchor (session, week or month) with a controlled reset, so the reference restarts cleanly each period.
• Sigma bands — three pairs of bands at one, two and three standard deviations of price around VWAP, computed from the same volume-weighted variance. These define the stretch zones.
• Value state — every bar is classified with a z-score into cheap, fair or expensive relative to VWAP. This drives the colour system and the dashboard.
• Mean-reversion fades — when price is stretched to the outer bands against the higher-timeframe trend and then reclaims back inside, a fade toward VWAP is signalled. The reclaim requirement is deliberate, so you are not blindly catching a falling knife.
• Trend-pullback entries — in a trend, a retracement to VWAP or the first band that holds is a discount entry in the trend direction. Both playbooks are labelled by type, and Buy/Sell are mutually exclusive with a minimum-gap control.
Trade levels
Each signal draws a red risk box to the ATR stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit. For reversion signals the first target is clamped toward VWAP so it always sits on the profit side of entry.
The dashboard
An adjustable value-ladder panel shows the value state, the z-score, the trend bias, the active playbook and signal, a conviction estimate, and a live first-target-before-stop tally from closed bars only.
How to use it
• Choose the anchor that matches your style: session for intraday, week or month for swing context.
• Fade the outer bands only against the trend and with a reclaim; take pullbacks to VWAP with the trend.
• Works across assets and timeframes, though the anchor should suit the timeframe you trade.
Settings
Anchor period, VWAP source, three band multipliers, trend filter length, reversion trigger, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
VWAP and deviation bands are standard building blocks; the contribution here is the explicit two-playbook logic (reclaim-based reversion versus trend pullback), the value-state classification that ties colour, dashboard and signals together, and the reversion target clamp — combined into one coherent, non-repainting framework and fully explained.
Notes and limitations
• VWAP is most meaningful on instruments with reliable volume; on symbols without real volume the bands lose accuracy, which is stated here honestly.
• Reversion trades against a strong trend carry inherent risk even with the reclaim filter.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
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VWAP Choppy Market Detector [TradingFinder] Trend Range🔵 Introduction
Markets are not always clean. Sometimes price moves with a clear bullish or bearish direction, sometimes it stays inside a range, and sometimes it keeps shifting back and forth with no reliable structure. This indicator uses VWAP-based bands to make these market conditions easier to read directly on the chart, showing trend, range, and choppy price action through simple visual zones.
In trending markets, the bands remain more stable and highlight the dominant side of the market. Green zones show bullish pressure, while red zones show bearish pressure. When price moves sideways, the indicator marks the range area with purple zones and shows the Range High and Range Low, making the upper and lower limits of the consolidation easier to follow.
The choppy market signal comes from the behavior of the colors themselves. When the chart keeps changing between bullish, bearish, and range states, it reflects unstable price action, frequent market behavior shifts, and chaotic volatility. This makes the indicator useful for reading when the market has a clean direction, when it is trapped inside a range, and when price movement becomes too noisy or uncertain.
🔵 How to Use
Start by looking at the overall color behavior on the chart. The main purpose of this indicator is to show the current market environment through VWAP-based bands, so the first step is not to look for a single signal, but to understand the condition of the market. When the colors stay stable for a longer period, the market is usually showing a clearer structure. When the colors change repeatedly, the market is shifting between different states and price action is becoming less stable.
Green areas show bullish trend conditions. In this state, price is trading with stronger upward pressure and the market is moving with a clearer bullish bias. Traders can use this condition as a trend filter, a continuation filter, or a confirmation tool before looking for long setups with their own strategy. A stable green zone usually means the market is cleaner for bullish trend-following ideas compared to a market where the color keeps changing.
Red areas show bearish trend conditions. In this state, price is trading with stronger downward pressure and the market is moving with a clearer bearish bias. Traders can use this condition to filter short setups, confirm bearish continuation, or avoid taking long trades against the dominant market behavior. When the red zone remains stable, it shows that the bearish side of the market is more consistent.
Purple areas show range market conditions. In this state, price is moving inside a more limited structure instead of trending strongly in one direction. The upper and lower range boundaries can be used to understand where the market is consolidating. The upper boundary works as the Range High, while the lower boundary works as the Range Low. These levels help traders see the current sideways structure more clearly and follow how price reacts inside the range.
In a range market, traders can use the Range High and Range Low as visual reference levels. Price near the upper boundary may show that the market is testing the top of the range, while price near the lower boundary may show that the market is testing the bottom of the range. This can be useful for range analysis, mean-reversion setups, support and resistance reading, and identifying where price is likely to react inside a consolidation area.
Choppy market behavior is read through frequent color changes. When the chart keeps switching between green, red, and purple, it shows that the market does not have a clean direction. This kind of behavior usually means price is unstable, market bias is changing quickly, and volatility is becoming chaotic. Instead of treating these color changes as random noise, they should be read as the main warning sign of a choppy market.
One of the most useful applications of this indicator is avoiding poor trading conditions. Many strategies perform well in clean trends but struggle when the market becomes choppy. If the colors change too often and price fails to hold a stable condition, traders can use that information to reduce exposure, wait for a clearer structure, avoid overtrading, or be more selective with entries.
The indicator can also be used as a trend-following filter. When the market remains green, traders can focus more on bullish setups. When the market remains red, traders can focus more on bearish setups. This does not mean every green area is a buy signal or every red area is a sell signal. It means the market condition is more aligned with that side, and traders can combine it with their own entry model, price action setup, support and resistance level, or risk management plan.
Another use case is range detection. When the indicator marks a purple range, traders can quickly see that price is no longer moving with strong directional pressure. This helps separate trending conditions from sideways conditions. Range detection can be useful for traders who use consolidation breakouts, range trading, mean reversion, liquidity sweeps, or support and resistance reactions.
The indicator can also help with breakout context. Before a breakout, price often spends time inside a range. By watching the Range High and Range Low, traders can better understand where the range is forming and where a breakout attempt is happening. If price leaves the purple range and the market shifts into a stable green or red condition, traders can use that as extra context that the market behavior has changed from consolidation to directional movement.
For choppy market analysis, the most important thing is the speed and frequency of the color changes. A few normal changes can happen during transitions, but repeated switching shows that the market is unstable. This can help traders recognize fake breakouts, messy pullbacks, weak trend conditions, and periods where price does not respect a clean structure.
The timeframe setting controls the VWAP anchor period. Daily mode is more suitable for short-term and intraday analysis. Weekly mode gives a broader view of the current week’s VWAP structure. Monthly mode provides a higher-timeframe view and can be useful for swing trading or larger market context. Traders can choose the anchor timeframe based on the way they trade and the amount of market structure they want to see.
The Band Multiplier controls the width of the main VWAP bands. A wider band gives a broader market structure, while a smaller band keeps the bands closer to price. This setting affects how the trend and volatility structure is displayed on the chart. Traders can use it to match the indicator with different symbols, sessions, and volatility conditions.
The Range Multiplier controls the sensitivity of the range detector. A lower value makes the range detection more sensitive, so range areas may appear more actively. A higher value makes the range detection more conservative, so the indicator becomes more selective when marking range conditions. This setting is useful because different markets do not move the same way; some symbols are naturally smoother, while others are more volatile and noisy.
The VWAP line can be shown or hidden depending on the trader’s preference. When enabled, it gives a direct view of the VWAP reference line inside the band structure. Some traders may use it as a central fair-value reference, while others may prefer to keep the chart cleaner and focus only on the colored bands and market regime zones.
This indicator can be used by scalpers, intraday traders, swing traders, and market structure traders. Scalpers may use it to avoid fast choppy conditions and focus on cleaner short-term movement. Intraday traders can use it to read the daily or weekly VWAP structure. Swing traders can use weekly or monthly mode to understand broader market behavior. Price action traders can use it as a visual filter for trend, range, and unstable market conditions.
The best way to use the indicator is as a market condition tool, not as a standalone entry system. Its main value is helping traders understand when the market is trending, when it is ranging, and when price action is too choppy to read clearly. Once the market condition is clear, traders can apply their own strategy with better context.
🔵 Settings
TimeFrame : This setting defines the VWAP anchor period used by the indicator. Traders can choose between Daily, Weekly, and Monthly modes. Daily mode follows the current day’s VWAP structure, Weekly mode uses the current week’s VWAP structure, and Monthly mode shows a broader VWAP structure based on the current month.
Band Multiplier : The Band Multiplier controls the width of the main VWAP bands. A higher value makes the bands wider and gives more space around price, while a lower value keeps the bands closer to price. This setting affects how the indicator displays the main trend and volatility structure.
Range Multiplier : The Range Multiplier controls the sensitivity of the range detector. Lower values create High Range Sensitivity, so the indicator detects range conditions more actively. Higher values create Low Range Sensitivity, making range detection more selective and conservative.
Show VWAP Line : This option shows or hides the VWAP line on the chart. When enabled, the VWAP line can be used as the central reference inside the band structure. When disabled, the chart stays cleaner and the focus remains on the colored market condition zones.
🔵 Conclusion
Market conditions can change quickly, and not every move has the same quality. A clean trend, a structured range, and a choppy market need to be read differently. This indicator helps make that difference more visible by using VWAP-based bands and color behavior to show when price is moving with direction, when it is consolidating, and when the market is becoming unstable.
The main strength of the tool is its visual reading of market behavior. Stable green or red zones make trending conditions easier to follow, while purple zones highlight range structures with clear upper and lower boundaries. When the colors start changing frequently, that shift itself becomes an important warning that price action is noisy, unstable, and moving without a clean direction.
Overall, the indicator gives traders a clearer way to read trend, range, and choppy market conditions before making trading decisions. It is best used as a market environment filter, helping traders understand the current price behavior and decide whether the market is clean enough for their strategy or too chaotic to trade confidently.
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Dynamic Trend Bands & Anchored VWAP Signals [BigBeluga]Dynamic Trend Bands & Anchored VWAP Signals is an institutional-grade market structure toolkit built for TradingView. It blends smooth mathematical trend mapping with real-time volume calculations to identify key market turning points and trade breakout momentum.
Instead of displaying standard lag-heavy moving averages, this system locks onto real-time volatility boundaries and anchors Volume Weighted Average Price (VWAP) paths to major swing pivots. It tells you exactly who controls the market—buyers or sellers—and tracks the net volume driving every single expansion phase.
🔵 MAIN ENGINE & MARKET CALCULATION MECHANICS
1. Dynamic Volatility Envelope Framework
Smoothed Base Filter: The indicator runs a double-smoothed exponential moving average engine ( Baseline Length ) to find the true structural baseline of the asset.
ATR Volatility Channels: It projects dynamic outer bands based on market volatility over a set period ( ATR Volatility Length ). The width adjusts automatically using your preference ( ATR Band Multiplier ) to trap standard price fluctuations and highlight true volatility expansion zones.
Trend Flip Architecture: A definitive close above the upper band switches the system to a Bullish Regime, while a close below the lower band forces a Bearish Regime.
2. Pivot-Anchored VWAP Matrix
Structural Anchor Selection: The engine scans your chart using your lookback criteria ( Pivot Point Detection Length ) to pinpoint major structural market highs and lows.
Live VWAP Projections: The moment a trend flip occurs and a pivot is confirmed, the script constructs a dynamic, non-repainting polyline tracking the Volume Weighted Average Price (VWAP) directly from that structural anchor point.
Delta Volume Accumulation Engine: As price moves along the anchored line, a real-time looping counter sums up the true buy and sell volume to calculate Delta Volume (buying volume minus selling volume).
// Pivot-Anchored VWAP Delta Volume Accumulation Loop Snippet
for i = 0 to bar_index - highIndex - 1
cp1.push(chart.point.from_index(bar_index - i, vwap1 ))
loopDeltaVolHigh := loopDeltaVolHigh + (close > open ? volume : -volume )
poly1 := polyline.new(cp1, line_color = bullColor, line_style = line.style_dotted, line_width = 2)
🔵 WHY IT IS USEFUL
Exposes Institutional Commitments: Standard indicators show where price has been. This engine anchors to major structural pivots and factors in volume data to show you exactly where big institutional players are positioning their capital.
Provides Instant Market Context: The floating real-time dashboard reveals the macro trend status and the exact volume backing the latest market cycle at a glance, allowing you to instantly align your bias with the dominant force.
Quantifies Breakout Authenticity: When price breaches the anchored VWAP baseline, the indicator immediately calculates the net Delta Volume. This tells you if a breakout is backed by aggressive institutional participation or if it is just a low-volume trap.
🔵 HOW TO USE THE SYSTEM
Trading Bullish Breakouts: During an active uptrend, watch for price to pull back toward the lower volatility support bands or consolidation zones. Look for price to break sharply back up through the anchored VWAP baseline line. When a green breakout triangle ( ▲ ) appears, check the Delta Volume text label to verify aggressive buying pressure before entering.
Trading Bearish Breakdowns: When the macro regime shifts to bearish, monitor rallies into the upper resistance bands. Wait for price to cross down through the bearish anchored VWAP baseline. A purple breakdown triangle ( ▼ ) signals a high-probability short opportunity backed by aggressive selling volume.
Managing Risk and Invalidations: Use the outer volatility bands as dynamic structural backstops. For long positions, place your defensive stop loss just below the lower dotted line boundary; for short positions, manage risk right above the upper dotted line boundary.
Master institutional volume cycles and track true structural momentum using the Dynamic Trend Bands & Anchored VWAP Signals workspace. Indicador
Dynamic Visible AVWAPDynamic Visible AVWAP is a visible-range anchored VWAP tool designed to help traders read active price interaction with important visible swing areas.
The script automatically anchors AVWAP lines from the highest high and/or lowest low inside the currently visible chart range. This makes the tool dynamic: when the visible chart area changes, the anchors are recalculated from the new visible range.
Additional AVWAPs can be enabled with the AVWAP Count setting. When more than one AVWAP is selected, the script adds extra anchors from the next valid swing highs or swing lows. This allows multiple AVWAP references to be displayed at the same time, creating a clearer view of potential confluence zones.
Main features:
Dynamic AVWAP based on the currently visible chart range
Long, Short, or All display modes
Optional multiple AVWAPs per side
Optional deviation channels around each AVWAP
Optional channel fill
Separate style controls for AVWAP lines, channels, arrows, and anchor text
Optional anchor arrows and custom anchor label text
Adjustable text size for anchor labels
Optimized line budgeting to keep the script stable when multiple AVWAPs are displayed
How it can be used:
Dynamic Visible AVWAP can help identify areas where price is interacting with volume-weighted mean levels from important visible swing points. These levels may be useful for context, confluence, pullback analysis, trend continuation review, or mean-reversion observation.
Important note:
The anchors are based on the currently visible chart range. If you zoom, scroll, or change the visible area of the chart, the AVWAP anchors may change because the script recalculates the highest high, lowest low, and additional swing anchors from the new visible range.
This indicator should be used together with broader market analysis, such as structure, volume, liquidity, higher-timeframe levels, and personal risk management. Indicador
HTF Mr. Fibonacci ReversalThe HTF Mr. Fibonacci Reversal is a premium, all-in-one dynamic tool designed to identify major institutional liquidity sweeps, Optimal Trade Entries (OTE), extreme market deviation zones, and internal Market Structure shifts (BOS/CHoCH) simultaneously.
Instead of cluttering your chart with endless Fibonacci ratios and full-screen color zones, this indicator isolates only the levels that matter most to macro reversals. It seamlessly blends Higher Timeframe (HTF) context with internal structural confirmations, operating seamlessly on a Daily (D) HTF anchor by default, but fully customizable to Weekly or Monthly levels depending on your trading style.
🔥 Key Features & Innovations:
1. Dynamic HTF Anchoring & Projections
A primary vertical line automatically captures the exact High and Low range of the previous HTF period. This acts as your baseline liquidity and macro structure. From this anchor, the script projects Fibonacci data into the current live price action.
2. Two Distinct Drawing Models:
Model 2 (Phantom Projection - Default): A unique "clean chart" approach. It projects a phantom HTF candle far to the right of current price action, wrapping the Fibonacci levels and OTE boxes exclusively around this future candle. This allows you to monitor how the micro price action is interacting with macro levels without overlaying shapes over your current candles. The projection is drawn with mathematical pixel-perfect symmetry.
Model 1 (Classic Extension): Draws the Fibonacci levels and OTE boxes starting directly from the vertical anchor, stretching right alongside the price action.
3. Minimalist Fibonacci Architecture
Stripped-down logic to focus heavily on the 0.5 (Equilibrium), -0.618, and 1.618 levels. These specific reaction points are highlighted in solid colors to draw immediate attention for high-probability reversal setups.
4. OTE & Extreme Zones (Transparent Boxes)
Clean, transparent blue boxes elegantly highlight:
Inner Optimal Trade Entry Zones: (0.236 to 0.382) & (0.618 to 0.764)
Extreme Deviation Zones: (-0.382 to -0.618) & (1.382 to 1.618)
5. HTF Phantom Candle
Displays the live, currently developing HTF candle (Open, High, Low, Close) dynamically. If you are on a 15m chart, you can watch exactly what the Daily or Weekly candle looks like in real-time, perfectly centered within your Fibonacci parameters.
6. Integrated Market Structure (BOS / CHoCH)
No need for a secondary structural script. The indicator includes a highly optimized Market Structure engine running in the background.
It maps internal Break of Structure (BOS) and Change of Character (CHoCH) directly on your chart.
By default, unconfirmed "candidate" lines are hidden to keep your chart pristine. Once a level is broken (closing beyond the pivot by default), a solid line and a clear label are drawn retrospectively.
7. Extended Dotted Boundaries & VWAP
The 0.0 and 1.0 levels extend perfectly from the origin anchor all the way to the projected Fib levels, framing the macro range cleanly with labels indicating exact prices.
Includes an optional Anchored VWAP starting exactly from the HTF pivot open.
8. Auto-Adapting UI
The main vertical structure line automatically senses your chart background (light or dark mode) and adapts its color for maximum visibility.
💡 How to Use:
Use the prominent 0.5 equilibrium level to gauge the broader directional bias. When price travels into the outer extreme boxes (below -0.382 or above 1.382), look for exhaustion signals, liquidity sweeps, or a CHoCH confirmation from the internal Market Structure engine for high-probability reversal entries. The inner boxes act as standard retracement targets during trend continuation.
Toggle between Model 1 and Model 2 depending on whether you prefer an immersive overlay or an isolated projection on the right side of your screen. Indicador
