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Trade Wzrd - Null Range [Rampage Series]✨ TRADE WZRD - NULL RANGE Every range has two middles. The one price draws - the midpoint - and the one VOLUME draws: the exact price where everything traded inside the range nets to nothing. Half the participation above, half below. The balance point where the tug-of-war reads null . Null Range plots that line, builds a channel out of volume's own deviation, and fades the pokes that venture beyond it - out where participation thins to nothing. Not a promise - a receipt. ⚡ THE RAMPAGE SERIES ⚡ Null Range is a release in the Rampage Series - a growing family of volume-and-levels tools built by Trade Wzrd. Every Rampage script ships with the same built-in automation layer: signals don't just paint, they speak. One alert, one webhook, and every entry, exit and fill fires a plain-text order string. ✨ THE NULL RANGE ✨ The dealing range's volume is distributed across a hundred invisible bins, and the 50/50 split becomes a single glowing line. Not a midpoint. Not an average. The price where the crowd's money actually nets to zero. And the line itself is the regime read: it runs CYAN when volume's center of mass sits in the cheap half, RED when it sits in the expensive half. Its right-edge tag carries VOL CENTER - the exact percentage. Hover it for the full story. ⚡ THE VOLUME CHANNEL ⚡ The same bins yield volume's standard deviation - so Null Range draws the channel where participation actually lives: two glowing sigma walls around the line with graded fills, and nothing else. ~95% of traded volume lives inside. Price beyond the wall is price out where volume goes null - extended, exhausted, and ripe for the trap. ✨ KINETIC FUEL ✨ Under the structure, a fuel strip burns: volume times speed, candle by candle, normalized against recent history. Bull fuel hangs off the discount wall in cyan, bear fuel off the premium wall in red - spike squares mark the bars that moved real mass, and WALL SLAM diamonds stamp the bars where that mass physically hit a wall. When a trap springs off a slam, the whole crowd pushed - and still failed. ⚡ THE MARGIN PROFILE ⚡ In the right margin, the range's own bins draw themselves quietly - spanning exactly wall to wall, because that's where the volume that matters lives. Every row is tinted by who owned that price: cyan where buyers dominated, red where sellers did. The Point of Control is ringed in gold. Width, offset, delta coloring - all yours. It's the same engine as the line, laid on its side. ✨ FLOW HEAT ✨ No labels. No lines. Just heat. When price sinks while buy pressure quietly rises, the tape washes faint cyan - someone is loading into weakness. When price rises while sell pressure builds, it washes faint red - someone is unloading into strength. The disagreement between pressure and price, painted as weather. The dashboard's FLOW HEAT row names the shift when it's live. ✨ THE FILTERS ✨ Trade only what the database believes in. Min Win Probability skips signals from cold buckets (once they have enough samples to judge - TRACKING signals always pass). Max Extension skips blow-off pokes. Balance Alignment demands volume's center be on your side. Every active filter shows on the dashboard's FILTERS row, so you always know what the engine is allowed to take. ✨ THE TRAP ✨ The signal: price pokes beyond the two-sigma wall - out into the null - and closes back inside within the trap window. The fakeout. Fade it back toward the line - the default target IS the null range itself, because mean-reversion trades deserve mean-reversion targets. Premium traps short from above, discount traps long from below. EQ Reclaim mode (decisive crosses back through the line, 0.2 ATR minimum, no whipsaw) is there for continuation players. ⚡ THE CONVICTION SCORE ⚡ Here is where Null Range stops asking for trust. Every signal carries one compact number - CONVICTION - that no single ingredient could give you. Underneath it sits this chart's own live database: traps bucketed by how deep the extension ran (0–0.25, 0.25–0.5, 0.5–1.0, 1.0+ ATR beyond the wall), reclaims bucketed by whether volume's center was on their side. That historical win rate is the base - then the score bends with the scenario: volume's center on your side or against you, a tidy poke or a blow-off, a spike bar or thin air. History + balance + depth + fuel, fused into one grade from 5 to 95. Early on, before the buckets earn their samples, the score runs on structure alone - and says so. And the hover is REACTIVE . Point at any signal and the verdict breaks the score into its parts: the conviction line, thin-sample warnings when a bucket is young, hot/cold bucket verdicts, depth-risk notes on blow-off extensions, balance alignment with the crowd's cost basis, and a fuel read on the participation behind the poke. Same model, different situation, different answer. ✨ THE RECEIPTS ✨ Signals stay on the chart as compact conviction chips - ▲ T 72, ▼ R 64 - one glance, one grade. Every closed trade stamps ✓ TP HIT or ✗ SL HIT exactly where it died. The dashboard tracks the VOL CENTER and PRICE POS gauges, the regime word, EQ/POC/channel width, the last signal with its conviction, the FLOW HEAT state, the database total, and a 10-dot streak row. The trade box carries entry, dashed stop, solid target with live R:R - and the conviction rides inside the entry tag. ⚡ YOURS TO SHAPE ⚡ Every visible piece answers to you: walls on or off, the line gradient or solid, EQ and POC tags toggleable, POC width, profile width and offset, delta colors or one solid tone, fuel strip, slam markers, flow heat, channel fills. The defaults are the house look - the knobs are all yours. ⚡ BUILT-IN AUTOMATION ⚡ One alert ("Any alert() function call") + your webhook URL, and Null Range speaks TradeWzrd order strings: ⚡ Entries with SL/TP prices attached ⚡ Optional opposite-signal close prepended to new entries ⚡ TP/SL-hit close alerts that mirror the on-chart trade box The same readable comma syntax drives automation across 7+ platforms - percent-risk or fixed-volume sizing, magic numbers, order comments. No lock-in: plain text, any endpoint. ✨ HOW TO READ IT ✨ ⚡ One glowing line = where the range's volume nets to null. Cyan = volume built low, red = volume built high ⚡ The graded channel = where ~95% of the volume lives. Price outside the wall = out in the null, extended ⚡ Fuel candles below/above the walls = kinetic energy per bar; squares = spike bars; diamonds = wall slams, mass meeting structure ⚡ Faint cyan/red wash behind the tape = flow heat: pressure and price disagreeing ⚡ The quiet profile in the margin, wall to wall = who owns each price: cyan rows buyers, red rows sellers, gold ring POC ⚡ ▲ T / ▼ T chips = the trap just failed - the number is conviction: this chart's track record bent by balance, depth and fuel. Hover for the breakdown ⚡ ▲ R / ▼ R chips = decisive reclaims of the line, same conviction engine ⚡ Dashboard: gauges, regime, FILTERS row, FLOW HEAT row, DATABASE row (trap and reclaim rates separately), streak dots ⚡ HOW TO USE ⚡ ⚡ Drop it on any liquid symbol, 5m to 4H - tuned defaults for XAUUSD 15m ⚡ Let it run. The database is empty at first - conviction runs on structure alone until the buckets earn their samples ⚡ Compare buckets: if shallow traps earn 70% and deep ones earn 40%, you know exactly which pokes to take ⚡ Wire one alert when you're ready to automate ✨ LIMITATIONS ✨ ⚡ Conviction starts from this chart's own history, bucketed - a sample, not a promise. Small samples lie confidently; the hover tells you when a bucket is young ⚡ The database resets when you change symbols, timeframes, or core settings - every context earns its own track record ⚡ Traps fade extensions - in a runaway trend, the outer wall keeps getting hit and the trap window is the honest filter ⚡ On symbols without volume data, the line falls back to midpoint and sigma to range/4 ✨ CREDITS ✨ Kinetic fuel concept inspired by "Kinetic Momentum Vectors" by BigBeluga (CC BY-NC-SA 4.0). Concept only and Null Range's fuel is re-engineered from zero: volume times speed, burning off our own volume-channel walls. No code or geometry shared with the original. Rift maps WHERE the volume traded. Null Range knows WHERE THE VOLUME NETS TO NOTHING - and what fading the void has been worth. Educational shell. Not financial advice. Not a signal service.

Indicator

Trade Wzrd - Tide [Rampage Series]✨ TRADE WZRD - TIDE ✨ Every price level has an owner. Not a metaphor - a measurement. Tide splits the range's volume row by row into buy mass and sell mass , finds the levels one side owns outright, and draws them as living lines on the chart - with a graveyard of the levels that came before. ⚡ THE RAMPAGE SERIES ⚡ Tide is a release in the Rampage Series - a growing family of volume-and-levels tools built by Trade Wzrd. Every Rampage script ships with the same built-in automation layer: signals don't just paint, they speak. One alert, one webhook, and every entry, exit and fill fires a plain-text order string. ⚡ THE OWNERSHIP ZONES (THE HERO) ✨ Every bar's volume is divided by who won the close - bars that closed high are buyers' mass, bars that closed low are sellers' mass - then spread across the price rows it touched. When one side owns 65%+ of everything traded at a row (your threshold), that row is a SHELF. Tide paints the two that matter right now as ownership ZONES : the highest buyer shelf below price as a soft cyan field, the lowest seller shelf above it in red - the exact band one side owns, a glow bed under a bright edge, and the ownership printed right inside the zone: "78% OWNED BY BUYERS" . A tag at the right edge carries the price and the percentage; hover it for who owns it, since when, and exactly where it dies. A zone stays alive until price closes clean through it - then it dies where it fell, no ghost, because a failed level is just a line. ⚡ THE FOSSILS (THE HISTORY) ✨ When a shelf is replaced - not broken, just handed off to the next level - it fades into a fossil: a dotted ghost in its owner's color, frozen at the bar it was born. Fossils stay on the chart until the market mitigates them: price trades through a ghost and it's erased. What's left is the archaeology of the setup - every level that used to matter, still standing where it stood, until the market itself takes it down. Cap the graveyard or turn it off in the Fossils group. ⚡ THE POOLS (THE LIQUIDITY) ✨ Equal highs and equal lows are not coincidences - they're where the stops rest. Tide clusters swings within a tolerance you set into liquidity POOLS, and draws them as gold levels: the exact price, the touch count that built them (×3 = three equal highs worth of stops), dashed while the liquidity rests. Then the raid comes: a wick through the pool that closes back = the sweep. The chart stamps it in gold, the pool marks itself TAKEN in dots, and it dies honestly when price consumes it or time forgets it. And here's the fusion: a fresh sweep near a shelf fuels the defense - conviction rises, and the chip's hover tells you exactly why: "the sell stops are already taken." The dashboard's POOLS row names the nearest pool each side with its touches and distance in ATR. ⚡ THE CROWN & THE CENTER ✨ The dashed white line is the Point of Control - the row where the most mass traded in the range, price tagged at its end. The optional volume-center line is the 50/50 magnet every defense aims for. The full ownership numbers - undertow, POC, shelf count, balance - live on the dashboard, one glance away. ⚡ THE DEFENSE (THE SIGNAL) ✨ Price returns to a shelf and the owners defend it: a dip into a buyer shelf that closes back above = BUY · DEF. A poke into a seller shelf that closes back below = SELL · DEF. One defense per shelf per touch - a fired shelf releases only when price escapes it cleanly, so fresh touches can defend again but wick-spam cannot. Stops frame the shelf's far edge: if price trades through the shelf, the defense failed, honestly. Targets default to the VOLUME CENTER - the 50/50 magnet of the range's mass - capped at 3R with an R-multiple fallback. ⚡ THE UNDERTOW ✨ Beneath the rows, one number: the range's net delta. BULL +18% means the mass leans long; BEAR -12% means it leans short; BALANCED means the tide is slack. It's the dashboard's top row because it's the context every defense swims in. ⚡ CONVICTION & THE DATABASE ✨ Every defense carries one compact number - CONVICTION. Underneath: this chart's own live database, defenses bucketed by the shelf's dominance (owned / dominated / ruled) . That tier win rate is the base - then the score bends with the scenario: how owned the shelf is, balance alignment (defending from the side of value), kinetic fuel, absorption. Fused into one grade from 5 to 95. Hover any chip: the shelf's exact price band, who owns it and by how much, the tier's win rate and sample depth, balance, undertow, fuel. Nothing hidden. ⚡ THE SCHEDULE ✨ Every closed trade is filed by session - Asia, London, New York, off hours - and the dashboard learns which hours the defenses hold on this chart, with this logic. When the schedule has enough receipts, BEST SESSION names the shift. ⚡ BUILT-IN AUTOMATION ⚡ One alert ("Any alert() function call") + your webhook URL, and Tide speaks Trade Wzrd order strings: ⚡ Entries with SL/TP prices attached ⚡ Optional opposite-signal close prepended to new entries ⚡ TP/SL-hit close alerts that mirror the on-chart trade box The same readable comma syntax drives automation across 7+ platforms - percent-risk or fixed-volume sizing, magic numbers, order comments. No lock-in: plain text, any endpoint. ✨ HOW TO READ IT ✨ ⚡ Cyan zone below price = the band buyers own, defending longs - ownership % printed inside, price + % on the edge tag ⚡ Red zone above price = the band sellers own, defending shorts - same receipts ⚡ A zone that vanishes without a ghost = it broke: price closed clean through it. Failed levels leave no fossils ⚡ Dotted colored ghosts = fossils: shelves that handed the job off, standing until the market mitigates them ⚡ Gold dashed levels = liquidity pools: equal highs/lows where stops rest - tag shows price × touches ⚡ Gold POOL ×3 stamps = the raid: stops swept and rejected; the pool goes dotted TAKEN until it dies ⚡ A defense firing right after a sweep = the strongest setup Tide knows - conviction gets the fuel, hover says why ⚡ Dashed white line = the Point of Control, price tagged - where the most mass traded in the range ⚡ BUY · DEF 68 / SELL · DEF 71 chips = a shelf defended itself - the number is conviction ⚡ Gold diamonds = absorption: climax volume, no progress - someone ate the book right there ⚡ Dashboard: undertow, POC, shelf count, who's defending, database, best session, record, fuel ⚡ HOW TO USE ⚡ ⚡ Drop it on any liquid symbol with volume, 15m to 4H - ownership maps everywhere ⚡ Let it run. The database and the session schedule start empty - they grow teeth from this chart's own history ⚡ Watch the tiers: if ruled shelves (90%+ ownership) earn more than owned ones, raise Shelf Dominance and let the weak ones go ⚡ Set Min Win Probability once the tiers have samples - cold tiers filter themselves out ⚡ Turn on Balance Alignment to defend only from the side of value ⚡ Wire one alert when you're ready to automate ✨ LIMITATIONS ✨ ⚡ Buy/sell mass is estimated from where each bar closed inside its range - a proven approximation, not exchange order-flow. On symbols without volume, the profile, undertow and conviction stand down ⚡ Conviction starts from this chart's own history , tiered - a sample, not a promise. Small samples lie confidently; the hover tells you when a tier is young ⚡ The database resets when you change symbols, timeframes, or core settings - every context earns its own track record ⚡ Shelves defend best in rotation; in runaway breakouts price doesn't come back to defend anything - that's what the trade box's stop is for Rift maps WHERE the volume traded. Tide knows WHO OWNS EVERY PRICE - and watches them defend it. Null Range knows WHERE THE VOLUME NETS TO NOTHING. Educational shell. Not financial advice. Not a signal service.

Indicator

Trade Wzrd - Rift [Rampage Series]✨ THE RAMPAGE SERIES Is a growing series of roughly thirty volume-and-structure indicators, each built around the same conviction: price is the story, volume is the evidence, and levels are where the two negotiate. Every script in the series reads the market through traded volume - profiles, deltas, liquidity, nodes - and every single one ships with built-in automation . Not a bolted-on alert hack: a real order-string layer, the kind these tools almost never come with. Each Rampage script is an educational shell for learning and testing. None of them is a signal service. Rift is the profile engine of the family - the one that finds the voids. ⚡ WHAT RIFT IS Rift rebuilds a live volume profile every bar from lower-timeframe data - anchored to the clock (session, day, week) or to market structure (confirmed swing pivots) - and renders it as one clean instrument in the chart margin: delta-graded rows, Point of Control, Value Area, Point of Void, and the gaps where nobody traded at all. Most profile tools show volume at price. Very few show the DELTA at each price - who was actually buying and who was selling inside every row - without paid order-flow data. Rift rebuilds that from the intrabar feed : each lower-timeframe bar's volume is signed by its direction and distributed across the price rows it traded through. The result is a profile that doesn't just say where volume traded, but who showed up to trade it. The design rule is one region, one story. The profile lives in the right margin as a single silhouette - never scattered across your candles - while price itself carries only what you can act on. ✨ THE POINT OF VOID - WHY "RIFT" Inside every Value Area there is one row where volume is thinnest - the weakest node, the place price met the least resistance on its way through. Rift measures it, names it, and marks it in orange: the Point of Void. That thin crust is the rift. When price drives through it with delta support, it isn't hitting a wall - it's falling through open air, and it tends to travel. Sweeps fade. Bounces react. A void break continues. Three different events, three different trades, one engine that knows which is which. ⚡ THE THREE HUNTS ▶ Sweep & Reclaim - price pierces the Value Area edge and closes back inside. The raid that failed. Optionally gated by CVD divergence: price prints a new extreme while cumulative delta refuses to agree - the fingerprint of absorption. ▶ POC Bounce - rejection of the developing Point of Control, the single most-traded price of the profile. ▶ POV Void - price drives through the Point of Void with bar-delta support. Continuation, not a fade. Every signal carries a typed chip (BUY · SWEEP, SELL · VOID...) with a hover deep-dive: node, ATR distance, wick %, bar delta, CVD, trend. Node-episode dedup keeps the engine honest - the same direction cannot re-fire at the same node inside the cooldown unless price has genuinely moved to a new one. An optional filter stack (ATR momentum guard, rejection wick, EMA trend, session window) sits underneath for those who want it. ✨ RISK THAT SITS ON STRUCTURE Stops and targets can be framed two ways: ▶ ATR mode - the classic: stop a multiple beyond the sweep extreme, target by reward:risk. ▶ Structure mode - the Rift way: the stop sits a small buffer beyond the exact node the signal was born from, and the target is the nearest opposing profile node - POC, POV, or a Value Area edge. The trade is invalidated by structure breaking, not by an arbitrary distance, and it aims at the level the market itself built. ⚡ THE TRADE BOX - IT FREEZES WHERE IT DIES Every signal draws its position as one object : entry line with a price tag, dashed stop, solid target, shaded risk and reward zones. The box follows price bar by bar - and the moment the stop or the target is hit, it freezes exactly there and leaves a TP HIT or SL HIT tag on the chart. Your past trades stay visible as they actually happened, not as you remember them. If one bar tags both sides, Rift calls the stop first - honest over flattering, always. ✨ LEVELS WITH MEMORY ▶ Retest lines - every signal draws the node it came from as a thin level that lives until breached or expired. Then, instead of vanishing, it stays on chart as darker dotted history: you can see which levels got filled and which held. ▶ Liquidity pools - swing highs and lows hold resting stops. Rails extend right until raided, die on the raid bar, and leave a faint swept zone when price pokes through and closes back inside. Where the stops were, where they got run. ▶ Level rails - neon POC, dotted POV, Value Area zone, and past profiles' POC/VAH/VAL kept on chart until crossed. ✨ HOW TO READ IT • The margin profile is one silhouette: row width is volume, row color is delta, gold is the POC, orange is the POV, volume numbers print inside heavy rows (auto-inverted so they never camouflage), and the outline tint tells you who owns the profile - cyan buyers, pink sellers. The delta-% label on top opens the full stats on hover. • A chip is a trade idea with receipts - hover it before you judge it. • The trade box is the position. When it freezes, the idea is over; the tag says how. • Dotted dark levels are filled history. Bright levels are still alive. • The dashboard is the instrument panel: profile levels, session CVD, bar delta, regime, whale state, last signal, POC touches, automation state. ⚡ HOW TO USE 1) Add the script to a clean chart. Defaults are tuned for XAUUSD intraday; any symbol with volume works. 2) Choose the anchor: Period (D for day traders, W for swing) or Swing (structure-anchored). 3) Set the Intrabar Feed lower than your chart timeframe - 1-minute is the safe default. 4) Pick a signal model and a risk mode. ATR framing is the default; Structure framing ties stops and targets to the nodes. 5) Automation is built in. ✨ DEFAULTS • Anchor: Period (Daily) | Intrabar Feed: 1m | Row height: ATR(14)/8 | Value Area: 70% • Margin profile: 30 rows, offset 8 bars, max width 40 bars, outline + stats on | Signal cooldown: 8 bars • Signals: All three models, CVD divergence 30 bars, bar delta confirm on, filters off • Risk: ATR mode - stop ATR(14) × 1.5 beyond sweep, target 2R | Structure mode optional - node buffer 0.25 ATR, next-node target • Trade box on | Filled retest lines kept as dotted history (20 max) | Liquidity rails on (pivot 5, 6 per side, swept zones on) • Automation on: entries with SL/TP, close on opposite signal, close on TP/SL hit ⚡ LIMITATIONS AND HONEST NOTES • This is an educational shell, not a validated strategy. It makes no performance claim and no edge claim. Nothing here is financial advice. • Buy/sell split is estimated from intrabar direction (close vs previous close), not true tick-level bid/ask - on 1-minute data this is a close approximation; coarser feeds are coarser reads. • Swing anchors and liquidity pivots confirm with a delay equal to the pivot length. • The margin profile shows the current developing profile only; finished periods remain as POC/VAH/VAL level lines. • TP/SL-hit detection is bar-based: on a bar that tags both, the stop is called first. • Structure-mode targets depend on the developing profile; a fresh profile can move the nodes. • Requires a symbol with volume data. Seconds feeds ("1S") depend on your plan's data availability. • Past results do not predict future results. Not intended for non-standard chart types (Heikin Ashi, Renko, etc.). You own symbol mapping, risk, and execution choices. No external links are required to understand or use this script. Open source - Mozilla Public License 2.0.

Indicator

LDO-Magnet [1.1]LDO-Magnet — Naked POCs, Value Areas & Vector Candle Zones WHAT IT DOES Plots the two kinds of unfinished business that pull price back like a magnet, and tells you when they stack on top of each other. NAKED POINTS OF CONTROL (NPOCs). Each UTC day, week and month gets a volume profile built from lower-timeframe data. The price with the most traded volume is that period's POC. Once the period closes, an untouched POC is "naked" — a magnet that price tends to return to. Levels are removed the moment price finally trades through them. Previous Value Areas (VAH/VAL — the range holding 70% of the period's volume) are also drawn. VECTOR CANDLE ZONES. Candles with unusually high volume — 200%+ of the recent average (red/green vectors) or 150%+ (violet/blue vectors) — mark where market makers left a footprint. The candle body becomes a zone that stays on the chart until price trades fully back through it. CONFLUENCE ★. When a Naked POC sits inside an active vector zone, two independent reasons for price to react coincide at one level. The NPOC's label gains a star and its line brightens: ★ — the NPOC is anywhere inside the zone ★★ — the NPOC is near the zone's 50% midpoint (strong confluence) Stars appear and disappear live as zones are created and cleared. READING THE CHART Levels are labelled on the right edge: dNPOC / wNPOC / mNPOC are daily, weekly and monthly Naked POCs (dotted, dashed and solid lines); pdVAH, pwVAL etc. are the previous period's Value Area edges. A star in front of any NPOC means it currently sits inside a vector zone. When two NPOCs from different timeframes nearly overlap, only the higher-timeframe one is drawn — the hidden one is still tracked and still fires alerts. SETTINGS Timeframes — which profile periods to plot. Daily and weekly are on by default; monthly suits higher-timeframe charts. Levels — toggle Naked POCs, previous Value Areas and developing (live, still-forming) profiles, and cap how many levels of each timeframe stay on the chart. "Keep Touched Levels" leaves a faded line where a level was hit instead of deleting it. Vector Zones — toggle the zones, colour them with one colour or by vector type, and set their transparency. "Highlight NPOC + zone confluence" controls the stars; the "Strong confluence band" sets how close to the zone's 50% level an NPOC must be to earn ★★ (default 15% of the zone's height). Display — labels, prices, text size, and the overlap distance below which lower-timeframe levels are hidden. Alerts — enables the dynamic alerts and sets the approach distance. Appearance — colours and transparency per level family. Transparency runs 0–100: LOWER is brighter, higher is fainter. If a label seems hard to read, check you are adjusting the slider for that family (Naked POC, Value Area or developing profile) — each has its own. ALERTS Add an alert on the indicator and choose a condition: approach/touch per NPOC timeframe, previous VAH/VAL crosses, Value Area entries, vector zone approach/entry, and Approaching/Touching Confluence. Or select "Any alert() function call" to receive everything as detailed messages, e.g.: ZECUSDT.P | STRONG CONFLUENCE touch | Daily NPOC 466.60 inside vector zone | current 466.85 HOW TO USE THE CONFLUENCE The stars mark where a reaction is likely — they do not predict its direction. In practice: Treat ★★ levels as the highest-priority magnets on the chart. Price reaching one usually does something: a rejection back the way it came, or a decisive push straight through. Read direction from the approach. Into confluence against the prevailing trend, favour the reversal; with the trend and on strong volume, a clean break often accelerates. First touches are the most reliable. Once a level has been tested the magnet is spent — the script removes filled NPOCs automatically. Higher timeframe beats lower: a starred wNPOC or mNPOC outranks a starred dNPOC. Set the Approaching Confluence alert and let the chart come to you. NOTES Levels are computed from lower-timeframe volume distributed across price, with UTC period boundaries, so they will not exactly match profiles drawn in your chart's local timezone. Use standard candles. Works on any symbol and timeframe with volume data. Vector zone logic is adapted from the open-source Vector Candle Zones code by infernix and peshocore (MPL 2.0) via the public Traders_Reality_Lib library — credit to them for the PVSRA methodology. The volume-profile engine, UTC framework, overlap suppression, confluence detection and alert system are original to this script.

Indicator

Macro Trend Split Profile [ChartPrime]Macro Trend Split Profile 🔶 OVERVIEW Traders often lose focus during long trends, failing to realize where the true market value is being built. The Macro Trend Split Profile bridges the gap between directional trend-following and volume-profile structure. It anchors a profile analysis at the start of every macro trend leg, splitting the histogram into Bullish and Bearish components. Instead of seeing a combined profile, this script visually separates where bulls were aggressive versus where bears attempted to defend, providing a clear map of which price levels represent the highest conviction for either side. 🔶 HOW IT WORKS The indicator executes its structural analysis through a three-stage engine: Noise-Filtered Macro Trend Detection: At its core, the script utilizes a Supertrend engine with a noise-filter multiplier. This provides a clean, macro-directional baseline that ignores minor retracements and identifies high-conviction trend legs. Trend-Start Profile Anchoring: Once a trend begins, the indicator initializes a memory array. It captures every candle in that trend leg and categorizes them as either Bullish (Close > Open) or Bearish (Close < Open). Split-Histogram Mapping: Once the trend leg hits your minimum bar requirement, the indicator generates a dual-sided histogram at the start point of the trend. The Bullish profile expands to the right, while the Bearish profile expands to the left, allowing for an immediate visual comparison of institutional interest. Dual Point of Control (POC) Tracking: The script calculates the Point of Control for both bulls and bears independently, drawing extended dashed lines across your chart that mark the exact price levels where each side has deposited the most structural weight. 🔶 KEY FEATURES Independent POC Projection: Independently identifies the strongest bullish and bearish structural walls, helping you identify where the current trend will likely find support or resistance. Automated Dashboard: A sleek, top-right status table provides the live macro trend direction and the exact price coordinates for the active Bullish and Bearish POC levels. Dynamic Rescaling: The profile histogram automatically rescales based on the number of bars in a trend and the intensity of the volume distribution, ensuring the visual footprint always fits your chart perfectly. Trend-Leg Sanitization: When a trend flips (e.g., from bullish to bearish), the script automatically purges the old data arrays and resets the profile engine, ensuring you are never analyzing "stale" historical order blocks. 🔶 TRADING APPLICATIONS Trend-Leg Retracement Entries: During a strong trend, monitor the Point of Control line that matches your trend direction. A dip back into the Bullish POC (during a Bullish trend) represents a high-probability zone to reload positions at a institutional fair-value level. Confluence for Reversals: If price approaches an opposing POC (e.g., Bearish POC during a Bullish trend), this marks a high-friction zone. These levels are prime candidates for taking partial profits, as they represent the most "defended" territory for the counter-trend side. Macro Structure Shifts: If price closes consistently beyond the most recent POC projection, it indicates that the current trend has exhausted its structural support, often serving as a signal to tighten stop-losses or prepare for a potential macro trend flip. 🔶 SETTINGS Macro Trend Length & Multiplier: Controls the sensitivity of the Supertrend. Higher values filter out aggressive noise and capture only the most significant primary trend legs. Minimum Bars for Profile: Sets the threshold for how long a trend must persist before the profile begins to render, preventing false signals during short-lived, volatile consolidations. Profile Resolution (Bins/Width): Customize the granularity of the histogram segments and the horizontal space the indicator occupies on your chart to suit your workspace preference. 🔶 CONCLUSION The Macro Trend Split Profile is a surgical tool for trend traders. By splitting the volume profile into Bullish and Bearish components, it stops you from guessing where the "other side" is positioned and shows you exactly where the institutional battle lines are drawn.

Indicator

Candlestick Edge Auto-Preset MTF Self-Calibrating Candlestick Edge only fires a candlestick pattern when it is "rightly placed" — confirmed by a higher-timeframe trend AND by where price sits in the developing volume profile. Then it does what most pattern tools don't: it forward-tests every signal and reports the MEASURED edge per pattern, so you read realized performance instead of a marketing claim. WHY THIS IS ONE TOOL (not a bundle) The parts answer one question about one candle: "is this pattern in a place that has historically paid, and does it beat a coin-flip here?" PATTERN detection says WHAT printed (24 classic candlestick patterns). HTF ALIGNMENT says whether the bigger trend agrees. VOLUME-PROFILE POSITIONING says WHERE it printed — reversals only at value-area edges, naked POC, HVN support/resistance, or liquidity sweeps; continuations only through low-volume voids or on a value breakout. The CALIBRATION SPINE forward-resolves each signal with a triple barrier and reports Hit% vs a matched Base% (Edge) with a Wilson confidence interval, so a placed-and-confirmed pattern can be told apart from a small-sample fluke. One pattern substrate, one location read, one calibration spine. MEASUREMENT (the differentiator) Each signal opens at close with target = ±TP·ATR, stop = ∓SL·ATR, over a fixed horizon. The first barrier touched decides win/loss (same-bar tie counts as the stop — conservative). Base% is the unconditional same-barrier win-rate for that direction. Edge = Hit% − Base%; a "*" marks rows whose Wilson 95% lower bound clears the base rate. A leave-one-out row prices each filter's marginal contribution, and a footer lists only the patterns that are green AND have enough samples to trust in the current configuration. AUTO PRESET (default on) Candlestick edges are timeframe-specific. Auto Preset reads the chart's timeframe and switches on the pattern subset plus higher-timeframe distance that performed best for that timeframe in the author's study of NSE index futures, and forces the two filters on. Turn it OFF for full manual research mode: all 24 patterns selectable, filters and HTF distance (3x / 5x / 15x / custom) under your control. Nothing is ever removed — the preset only curates which patterns are active by default per timeframe. HOW TO USE Leave Auto Preset on and read the labelled signals (teal = bullish, red = bearish, each tagged with the pattern name). Open "Show scoreboard" to see measured Edge per pattern — trust the EDGE column and the "*", never a raw hit-rate. Best behaviour is on intraday timeframes (1H and below). ORIGINALITY Standard techniques are credited below. What is original is the combination: a location-gated pattern engine whose every signal is forward-calibrated, a timeframe-adaptive auto-preset, a leave-one-out filter attribution, and an auto-surfaced tradeable set — measured edge, not asserted. NON-REPAINT Signals open on confirmed bars; triple-barrier outcomes resolve on bars AFTER the trigger; all higher-timeframe / lower-timeframe / prior-day-POC requests use lookahead_off and confirmed intrabars. Pivots used by sweeps confirm first. DATA & MARKETS Runs on any symbol that reports volume; the developing profile needs volume to be meaningful. Defaults are tuned for intraday index futures. On the Enhanced data tier the delta read uses intrabar aggregation (richer on paid plans) and auto-falls-back to an OHLCV proxy when intrabars aren't served — safe to leave on for any plan. CONCEPT CREDITS (methods operationalized — original Pine re-derivations) Candlestick patterns — Nison; pattern-performance framing per Bulkowski Market / auction profile, POC / Value Area — Steidlmayer; Dalton Bulk Volume Classification — Easley, Lopez de Prado & O'Hara (2012) Triple-barrier labelling — Lopez de Prado Wilson score interval — Wilson (1927) HONESTY / LIMITS The profile is an ATR-binned developing session profile (not tick POC). Delta is an estimate (proxy or intrabar reconstruction), not true bid/ask. Reported edge is context measured on loaded history — not a prediction or a promise. The preset defaults were tuned on one instrument over a recent window, so treat them as a well-measured hypothesis, not proven alpha. Educational tool. Not financial advice — you alone are responsible for your trading decisions.

Indicator

by Market_Logic_India

Potential Well Map Overview A volume or time profile tells you where price spent time. Potential Well Map tells you the forces acting at each level. It models the market as a particle drifting in a one-dimensional energy landscape and estimates that landscape directly from recent price action — the local drift (average next move) and diffusion (variance of the next move) at each price level — then integrates them into a potential curve. Its valleys are attractors (dynamical support/resistance that pulls price in); its peaks are barriers (levels price is repelled from). Two levels with identical occupancy can be opposite in dynamics — one an attractor, one a barrier — and this map tells them apart. It is a descriptive structure-and-risk map, not a predictive signal. Why these components are ONE tool (mashup justification) This is a four-stage chain where each stage produces something the previous one can't, and the honesty layer keeps the whole thing accountable: Drift + diffusion per level — the raw forces. For every price bin, exponentially-decayed accumulators track the count, sum, and sum-of-squares of the next one-bar move that started there, giving the conditional first two moments (drift and diffusion) with recent regime weighted most. This is O(N) per bar — no window rebuild, no timeout. The potential curve — the integral of drift ÷ diffusion. This turns the raw forces into a landscape whose valleys and peaks are attractors and barriers. It is the object an occupancy profile fundamentally cannot produce, because occupancy measures time spent, not the pull at a level. Escape pressure — a bounded 0–100 breakout gauge derived from the remaining wall height between price and the nearest barrier. Because the potential is already diffusion-normalized, the escape factor is a clean exponential of the wall height, and it concentrates toward 100 as price approaches a wall. The calibration harness — the honesty layer. When a barrier escape is flagged, did price actually travel that way more often than the unconditional base rate? It reports Hit / Base / Edge, resolved forward on confirmed bars only. The forces are a picture; the harness is the proof. Remove any one stage and the map either asserts structure it never tested, or shows a level with no dynamics behind it. How it works Price is detrended into a coordinate x = ln(price) − ln(slow anchor) so the distribution stays roughly centred as price trends. A grid of x-bins spans a few volatility units either side of zero. For each bin, the decayed accumulators build drift and diffusion; neighbour bins are sample-weighted-smoothed; the force (drift ÷ diffusion) is integrated into the potential; valleys and peaks that clear a prominence margin are marked as wells and barriers; and the escape pressure to each adjacent barrier is computed. Bins with too few effective samples are greyed out rather than trusted. How to use it Read the landscape as context. The green valley line is the active attractor — a mean-revert target. The dashed red lines are the barriers above and below. The shaded box is the expected range of a stiff well. In the dashboard, the escape pressures rise toward 100 as price nears a wall; a pin (fade-to-mean) is flagged only when price sits mid-well in a stiff, bounded valley, and an escape is flagged when price crosses a barrier after that side's pressure was already elevated. Watch the Edge row: a positive, matured Edge means escapes have led price on this instrument; near-zero means treat the map as structure only, not a trigger. It is never a standalone signal. Universal & non-repainting The source is an input and everything is self-scaling (vol-scaled grid, detrended coordinate), so it runs on any symbol and timeframe; defaults suit a liquid index/futures intraday chart. All statistics use closed past bars only — both the drift/diffusion accumulators and the calibration harness update solely on confirmed bars, so their numbers never inflate intrabar. The displayed landscape naturally evolves bar to bar because it is a live estimate, not a fixed level; confirmed escape and pin marks settle on the close of their bar. Edge figures are in-sample, close-to-close, with no costs — a study aid, not a backtest. Originality The building blocks are public physics and statistics: stochastic drift-diffusion dynamics, conditional-moment estimation of the drift and diffusion coefficients, and escape-rate theory. What's original is the application to a price series as a live, decayed, per-level energy landscape — the detrended coordinate, the exponential-memory conditional-moment accumulators, the diffusion-normalized potential integral, the prominence-gated well/barrier detection, the escape-pressure gauge, and the forward-calibration harness that scores escapes against their base rate. This is a clean-room implementation; no third-party Pine code is reused. Concept credits Stochastic drift-diffusion (Langevin) dynamics and the Fokker–Planck description of a probability landscape — Paul Langevin, Adriaan Fokker, Max Planck Estimating drift and diffusion from the conditional moments of increments (Kramers–Moyal expansion) — Hendrik Kramers, José Enrique Moyal; exposition after Hannes Risken Barrier escape / escape-rate theory — Kramers' escape-rate framework Forward base-rate calibration discipline — standard out-of-sample evaluation practice Disclaimer Research and educational tool only. Not financial advice, no recommendation, no guarantee of results. It is an effective, empirical 1-D approximation of a memoryful, multi-factor market — treat "escape pressure" as a relative, normalized gauge, not a literal probability. Estimates are noisy where samples are sparse (the greyed bins). Indicators describe past behaviour; they do not predict the future. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability.

Indicator

by Market_Logic_India

Pivot Support & Resistance Matrix [ChartPrime]Pivot Support & Resistance Matrix 🔶 OVERVIEW Traders often struggle to identify which support and resistance levels are truly critical and which ones are just temporary market noise. The Pivot Support & Resistance Matrix solves this by combining automated, proximity-filtered structural lines with a real-time, volume-cleared Polyline Pivot Profile Engine . Instead of cluttering your chart with every single minor pivot, this script utilizes an ATR-based buffer system to only track key structural levels. Furthermore, it pools all historical pivot points into a customized histogram matrix displayed right in your margin, pinpointing the absolute **Pivot Point of Control (POC)** where historical order blocks are most heavily clustered. 🔶 HOW IT WORKS The script processes market structure through a multi-tiered calculation architecture: Proximity-Filtered S/R Generation: The script monitors classic structural highs and lows ($Pivot\ High / Low$). To prevent messy line stacking, it implements an automated proximity filter using an NYSE:ATR \times Multiplier$ threshold. A fresh Support or Resistance line will only spawn if there isn't an active, unbroken line already sitting within that price buffer. Dynamic Breakout Conversion & Volume Logging: Active lines automatically extend forward in time. The exact moment price closes past a level, the script transforms its state: it turns into a dashed, neutral-colored broken level, and replaces its price label with the exact transaction volume that occurred on the breakout candle (formatted cleanly as K or M). Polyline Profile Matrix: At the right edge of your screen, the script divides the high-to-low calculation lookback window into a customized array of price bins. It then scans through all historical pivots, plotting a seamless, shaded polyline histogram based on pivot density. Pivot Point of Control (POC): The single price bin that contains the highest concentration of historical pivot touches is highlighted across your entire chart as a solid red **Pivot POC Line**, displaying exactly how many times institutions used that precise level for market reversals. 🔶 KEY FEATURES Smart ATR Density Filtering: Prevents redundant lines from overlapping in tightly consolidated ranges, providing clean, high-conviction key levels instead of generic lines on every candle. Post-Breakout Volume Memory: Instead of deleting broken lines, they switch to a dashed visual state while logging the breakout volume. This tells you instantly whether a level was smashed with heavy institutional backup or weakly drifted through. Adaptive Profile Theme Coloring: The polyline histogram dynamically matches the current market state. If more historical support pivots have been registered than resistance levels inside your lookback window, the profile automatically adopts the Support color theme, signaling a bullish structural baseline (and vice versa). Bin Smoothing Radius Configuration: To account for minor market fluctuations, each pivot point distributes its structural weight to adjacent price bins based on a user-defined radius, creating a smooth, professional-grade market profile. 🔶 TRADING APPLICATIONS High-Volume Breakout Validation: When an established support or resistance line is broken, check the volume tag left on the line. A break showing high volume (e.g., $4.5M$) indicates a high-probability trend continuation or verified Market Structure Shift. Pivot POC Magnet Re-entries: The red Pivot POC line acts as a major institutional fair-value anchor. When price expands far away from it, it serves as an excellent structural target; conversely, during macro retracements, it behaves as the strongest anticipated bounce zone. Profile Value Area Exits: Use the outer limits of the polyline histogram to judge market extensions. If price stretches completely beyond the top or bottom boundaries of the pivot profile, it indicates highly overextended conditions, alerting you to tighten stop losses or secure open profits. 🔶 SETTINGS Pivot Left/Right Bars: Sets the lookback structural count required to verify a local swing high or swing low. Higher values isolate macro key levels, while lower values target scalping ranges. Calculation Lookback Window: Restricts profile tracking and line management to a strict historical window (e.g., last 600 bars), preserving processing speeds and focusing your data on recent market developments. ATR Proximity Multiplier: The minimum distance required between horizontal lines. Increase this multiplier to dramatically clean up your chart and leave only the most prominent structural boundaries. Number of Bins & Smoothing Radius: Controls the resolution of your polyline profile. Higher bins provide finer price accuracy, while a higher smoothing radius blends adjacent bins for a cleaner visual histogram. 🔶 CONCLUSION The Pivot Support & Resistance Matrix indicator completely modernizes standard support and resistance trading. By combining price-filtered line tracking with a structural density profile, it allows traders to clearly see where major liquidity walls stand and precisely how much volume was required to break them down.

Indicator

Volume Force Field Volume Force Field — PulseWire publication kit Volume Force Field turns a volume profile into a force map. A normal profile shows you where value is. This overlay shows you the net pull on price at every level — the slope of the volume landscape toward the nearest magnet — and then it measures, on your own history, whether that pull actually leads price. One plain-language panel tells a non-technical trader what it means at a glance. What it plots The force field — coloured bands across price. Green means price at that level is being drawn up toward a high-volume magnet; red means drawn down. Band opacity scales with how much volume sits there. POC and magnets — the yellow line is the Point of Control (the single strongest magnet); green lines are secondary magnets; dashed red lines are low-volume ridges that price tends to cross quickly. Value Area — the shaded band holding your chosen % of volume around the POC: the range where trade has been accepted. Value centre ± band — a moving equilibrium (rolling VWAP / adaptive MA / EMA) with a σ band: the drift level price is pulled back toward. Guidance panel — plain English: the current bias (pulling up / down / balanced), location vs value (inside / stretched above / stretched below), the nearest magnet and distance, and one line on what to watch. Past signal marks — small triangles wherever the net pull historically turned strongly up or down, so you can eyeball how the field has behaved. Why these components are one tool (not several indicators stacked) Each part answers a question the others cannot, and removing any one breaks the read: Volume kernel density builds a smooth value landscape whose peaks are magnets. Optional lower-timeframe slicing distributes each bar's volume across its true intrabar path; an optional half-life lets recent volume outweigh old, so the field is a living map, not a flat lookback. The density gradient turns that landscape into a force — the direction and steepness of attraction at each level, which a plain density cloud never exposes. The Value Area frames where price is accepted versus stretched, so the force is read in context. The moving value centre adds the mean-reversion pull toward equilibrium. The calibration harness back-measures the whole thesis: when the pull is strong, did price actually travel toward the magnet more often than the base rate? It reports Hit %, Base % and Edge. Density is a picture; the gradient makes it a force; the Value Area frames it; the centre adds drift; the harness keeps it honest. Together they are one decision object. How to use it Read the guidance panel first — it states the bias, where price sits versus value, the nearest magnet, and what to watch. On the chart, treat green bands as upward pull toward the magnet above and red as downward pull; the POC and magnet lines are targets; dashed lines are fast low-volume gaps; the Value Area is the accepted range; the centre ± band is the drift equilibrium. Turn on the Calibration table and read Edge: a strong pull with a positive, matured Edge is the context this tool is built to surface. An Edge near zero means the attraction is not exploitable on that symbol/timeframe — that is useful information, not a trade trigger. This is a context map, not a signal generator; combine it with your own risk and execution rules. Universal across markets Price source and volume feed are inputs, so it runs on any symbol. Instruments without real volume fall back automatically to a price-density field. Default settings target an index-futures 1-minute chart; change the lookback, centre and slice resolution to suit other assets and timeframes. Originality The building blocks are standard and credited below; the original work is the coupling and the rendering — a volume kernel density whose gradient is drawn as a directional force field, fused with a Value Area and a moving value centre, with magnet/ridge extraction and a forward base-rate harness that reports each strong-pull setup's realised Edge instead of asserting that magnets work. No third-party Pine code is reused. Concept credit Kernel density estimation — Emanuel Parzen (1962) and Murray Rosenblatt (1956); bandwidth rule — B. W. Silverman (1986). Point of Control / Value Area / Market Profile — J. Peter Steidlmayer. Moving-equilibrium ("price in a moving potential") market models — Hideki Takayasu, Takayuki Mizuno and Tsutomu Watanabe. Not affiliated with, nor endorsed by, any third party. Honesty / limitations No tick or order-book tape is available to scripts, so the density is built from OHLCV and optional lower-timeframe slices — a proxy, not the true traded distribution. Lower-timeframe slices exist only for recent bars; older bars use bar price automatically. "Force" is a hypothesis the Edge stat exists to falsify. The harness uses a light proxy of the field (the full grid cannot be recomputed on every bar), so it tests the idea rather than the exact drawn object. Like any volume profile, the last (forming) bar's field refreshes in real time; on closed bars it is fixed. Edge figures are in-sample, close-to-close, without costs — a study aid, not a verified backtest. Nothing here predicts price. Disclaimer For research and educational purposes only. This script is not financial advice, not a recommendation, and not a guarantee of future results. Indicators describe past behaviour; they do not predict the future. Trading carries risk of loss. Test on out-of-sample data and make your own decisions. The author accepts no liability for any use of this script.

Indicator

by Market_Logic_India

Auction & Liquidity Command Center Volume Profile, Measured Auction & Liquidity Command Center — Volume Profile, Measured The levels traders already use — prior POC, value area, naked POCs, prior day high/low, session AVWAP, HVN/LVN — each scored by its measured reaction on this chart: how often price rejects vs breaks, and what the fade has been worth in R. Levels with evidence, not levels with vibes. Never a buy or sell. What it does Every structure tool draws levels. None of them measures what happens when price gets there. This tool builds the session-anchored auction map with profile-grade accuracy, detects qualified touches of every level, resolves each touch through a triple-barrier outcome, and pools the results by level TYPE into a live scoreboard: pPOC +0.01R · rej 50% · n156. You see not just where the levels are, but which kinds of levels have actually meant something on this chart — and which are coin flips. The components, and why they are combined This is a deliberate synthesis of four parts, each covering the previous one's weakness: A profile-grade level engine (Market Profile — J. P. Steidlmayer). Nine level types from the session volume-at-price profile and session extremes: prior POC, prior VAH/VAL (classical two-row 70% expansion), naked POCs (prior POCs never revisited), prior day high/low, the session's anchored VWAP, and HVN/LVN volume nodes (prominence-filtered local extremes). Accuracy choices: each bar's volume is distributed range-proportionally across the rows it overlaps (not binned at one point); POC ties break toward the session center. Weakness left open: a drawn level says nothing about whether it matters. A qualified-touch detector. A level must be ARMED — price fully away from it by at least k×ATR — before a touch of it can count, and it disarms after every touch. Chop sitting on a line cannot enter the record. Approach direction is stored with every event. Weakness left open: a touch is not an outcome. Triple-barrier outcome resolution (outcome labelling — M. López de Prado). From each touch: REJECT if price moves m×ATR back the way it came first, BREAK if it moves m×ATR through first, TIMEOUT after T bars. Purity rules: barriers are fixed at the ATR of the touch moment; evaluation starts the bar after the touch; a bar hitting both barriers is a timeout, never a guess. Weakness left open: one level's history is n = 1. Per-TYPE pooling with honesty gates. Statistics pool by level type, never by individual line — a type is a real sample. A type shows no score until a minimum number of its touches have resolved (default 20); until then it reads BUILDING with its count. Timeouts are reported in n but excluded from the reject/break ratio. Fade expectancy = (rejects − breaks) / (rejects + breaks), in R. How to read it Rails are colored and styled by type (solid profile levels, dashed day levels, dotted volume nodes, violet naked POCs); each label carries its type's live score or its BUILDING count. Evidence on the chart: a gray • at every qualified touch, then ○ (teal) where the touch rejected and ✕ (amber) where it broke. Every number on the scoreboard can be audited against the chart. Dashboard: nearest level and its score, with a plain-language verdict (tends to hold / coin flip / tends to break) so the read needs no statistics background; per-type scoreboard (fade R · reject % · n) for all nine types; touch counts; the exact engine settings in the NOTE row. Honest expectations: most types on most charts score near zero — that is the truthful baseline, and seeing it protects you from folklore. The value is in the exceptions this chart's own history reveals (for example, day extremes often carry a modest positive fade expectancy while POC retests are a coin flip), and in knowing the difference. How to use it Use the scoreboard to weight your own playbook: give more respect to touches of types that have measured well here, less to types that grade as noise — and size accordingly. The "Touch of a MEASURED level" alert fires only when price reaches a type with a real sample behind it. This is context about where price reactions have had structure — never a direction, never an entry signal. Non-repaint & universality Profiles, POC/VA/nodes and day levels commit only at session close on confirmed bars; touches and outcomes resolve on confirmed bars; the AVWAP is cumulative within its session. Nothing repaints. The script requests no external data of any kind — no lower timeframes, no security calls — so it runs identically on every plan and every symbol with volume. Use on any market Volume source, profile rows, value-area %, node thresholds, arm distance, barriers and sample gates are all inputs. Defaults suit liquid intraday index futures; intraday timeframes give the engine the most touches to learn from. Originality & credits The synthesis — a range-proportional session profile, qualified-touch detection, touch-time-ATR triple-barrier outcomes, and per-type pooled reaction statistics displayed as a live scoreboard — is original work for this publication. Concept credits: Market Profile / point of control / value area — J. Peter Steidlmayer; naked (virgin) POC — market-profile literature; anchored VWAP — as popularised in modern trading literature; triple-barrier outcome labelling — M. López de Prado. Implementation and charting design are the author's own. Disclaimer Research and education only. NOT financial advice, NOT a signal service, NOT a guarantee of future results. Reaction statistics are empirical frequencies from this chart's limited history, pooled per level type; they change with regime and sample, and a positive expectancy is not a promise. Validate independently and manage your own risk.

Indicator

by Market_Logic_India

Naked POC Magnetism Fill Probability & Median Wait Naked POC Magnetism — Fill Probability & Median Wait What it is A naked POC is the highest-volume price of a past session that price has not revisited since. Traders treat them as magnets — but "it usually gets filled" is folklore until it's measured. This tool measures it. Every historical naked level on your chart becomes a data point (how many sessions it survived before being touched, or whether it never was), and a survival model (discrete-hazard life table) turns that history into, for each live naked level: the probability it fills within the next N sessions and the median wait. Levels are drawn with their measured magnetism, not just their location. How the statistics work — and their honest limits Each session's volume-at-price profile is built from that session's bars; at session close the peak-volume price (POC) becomes a naked level. A level is filled the first time a later bar's range touches it; its age in sessions at that moment is one observation. Levels removed unfilled (history cap) are censored at their age — counted as "survived this long," never as fills. This is the standard treatment of incomplete observations from survival analysis (Kaplan–Meier 1958; classical life tables). Hazard at age j = fills at age j ÷ levels at risk at age j. Survival multiplies (1 − hazard) across ages; fill-probability within a horizon and the median wait follow directly. Reliability gates, enforced not footnoted: no probability is displayed until a minimum number of levels have resolved (input, default 20) — until then the tool says BUILDING and shows only counts. And hazard estimates at ages with fewer than 5 at-risk observations are truncated rather than trusted, per standard life-table convention. Probabilities are empirical frequencies from this symbol and timeframe's own history — they change with regime and sample, and a 70% is not a promise. Seeing the evidence Every historical fill prints a small ◈ marker where a naked level was touched — the resolved observations the probabilities are measured from, visible on the chart rather than hidden in a table. The dashboard shows both the NEAREST level and the STRONGEST magnet (highest fill probability) — they are often not the same level, and the strongest one is the better answer to "where is price most drawn". An honest design note: this tool deliberately has NO multi-timeframe stack and NO state-debounce, unlike its siblings in this suite — sessions are the model's clock regardless of chart timeframe (a higher-timeframe copy would measure the same sessions with coarser bins), and nothing here chatters (levels are born at session close and resolve on touch). Features are added where they inform, not everywhere. How to use it Add to a liquid intraday chart; 5m–15m gives the model the most sessions to learn from. Let it run until the dashboard reads MEASURED. Each rail is labelled like "NPOC 24512 · 68% /5s · med 3s" — the measured chance it fills within the horizon and the median sessions historically needed. Warm, saturated rails = strong magnets; faded = weak or unrated. The dashboard shows the nearest level's read and — deliberately — the sample size behind every number. Use magnetism as context about where price is drawn (targets, fade zones, expectations management), never as an entry signal by itself. What makes it original Naked-POC indicators draw lines. This one attaches a measured fill-probability and expected wait to each line, estimated with a proper survival model that handles censoring and refuses to show numbers it can't support. Turning a folklore level into a level with a live, honest statistic is the contribution. Concept credits Market Profile / point of control — J. Peter Steidlmayer. Naked (virgin) POC — market-profile trading literature. Survival estimation from incomplete observations — E. L. Kaplan & P. Meier (1958); classical life-table method. Implementation and charting design are the author's own. Important disclaimer Research and education only. Not financial advice, not a signal service, not a guarantee of future results. Fill probabilities are empirical frequencies measured on this chart's limited history. Validate independently and manage your own risk.

Indicator

by Market_Logic_India

Adaptive Consensus Trail Structure, Regime & Self Adaptive Consensus Trail — Structure, Regime & Self-Test A trailing stop that sits on the agreement of several structural references, adapts to the market regime, and forward-tests its own signals so the numbers it shows are measured, not asserted. What it is Most trailing stops follow one idea — an ATR band, a SuperTrend, a moving average. This one places the stop where a small committee of independent structural references agree, reads how confident that agreement is, widens or tightens itself according to the market regime, and then continuously audits its own flips and reports the edge it actually produced on your data. The committee has five members, each locating support/resistance from a different lens: Anchored VWAP band — fair value for the session/week/month Session / naked volume Point-of-Control — the price the most volume traded at, carried forward until revisited Fair-Value-Gap midpoint — unfilled imbalance Swing pivot — structural memory Order-flow absorption — where aggressive buying/selling was absorbed (via Bulk Volume Classification) Why these parts belong in one script (mashup justification) Each reference alone whipsaws on an index, and each is right in different conditions. They are combined because they correct one another, and the entire value of the script is in that interaction — not in any single line: A reliability layer scores every reference's historical respect rate with a Wilson lower bound, so a reference that keeps getting ignored loses its vote instead of dragging the stop around. A consensus layer keeps only the densest agreeing cluster of references, so the stop sits on genuine agreement rather than on an average nobody respects, and far-apart references never force a permanent "no signal." A regime layer (efficiency ratio + ADX + band-width + a volatility-cluster read + a Hurst persistence estimate) widens the band and tightens the flip confirmation in chop — this is what removes the whipsaw. A self-test layer forward-scores every flip and recalibrates the confidence number so it means what it says. Split apart, these are five overlays that each mislead in a range. Wired together, they are one self-correcting, self-auditing trail. That is the reason for combining them. How it works (six layers) References are computed on the bar close. Reliability — rolling-capped respect counts per reference give a Wilson lower-bound "trust." POC is a magnet, so it is judged by forward reaction (did price reject away before breaking through?), not a same-bar close, which keeps its trust honest. Consensus — the densest agreeing cluster within an ATR band becomes the trail's target; the envelope and confidence are measured on that cluster only. Adaptive backbone — an efficiency-ratio / regime-adaptive band (Adaptive, Chandelier, or Blend) that widens in chop. The trail — high confidence pulls the stop toward structure (floored a minimum ATR off price); low confidence rides the wide band, so it flips less in noise. Self-test — every flip is forward-resolved by triple-barrier first-touch against an unconditional base rate, split by strength tier and by regime, with a walk-forward in-sample→out-of-sample check, a runs test of independence, a Brier score, and a confidence recalibration. How to use it Read the top banner for the one-line bias — BULLISH / BEARISH / WAIT — and the READ legend for what to do. The coloured line is your stop: support in an uptrend, resistance in a downtrend. BUY / SELL labels print only on confirmed, sufficiently-confident, higher-timeframe-aligned flips. The dashboard gives detail top-down: each reference's level and trust, the consensus, raw → calibrated confidence, regime (with Hurst and ADX), the higher-timeframe invalidation stop, and a FULL / HALF / STAND-ASIDE suggestion. Before sizing, open the Self-Test panel and read the Edge column (hit% − base%), not the raw hit-rate. A ★ means the edge's confidence interval clears the base rate. Prefer signals where the walk-forward change isn't badly negative and the runs test isn't "streaky." Being honest about it: on many indices this tool shows real edge in range and volatile regimes on higher timeframes and little-to-none on very low timeframes or once a trend is already confirmed — the panel makes that transparent so you can pick your spots. Works on any market Set the Price source, and for symbols with no native volume set a Borrow-volume proxy (e.g. a futures contract). The panel theme adapts to your chart background automatically. Backbone: Adaptive / Chandelier / Blend. Absorption: order-flow (BVC) or simple. An optional intrabar resolution builds a finer volume profile where available. Originality The committee-of-references design, the cluster-not-average consensus, the reliability weighting that lets references lose their vote, the forward-reaction POC respect test, and the confidence self-calibration are the author's own work. The underlying techniques are standard and fully credited below. Non-repaint References, regime, consensus and the trail all evaluate on the close of the bar; the live bar is provisional and settles on close. Self-test events are logged and resolved only on confirmed bars and resolve on bars after their trigger at fixed barriers, so hit / base / edge use no look-ahead. The higher-timeframe stop uses a lookahead-off request. Concept credits Wilson score interval (E. B. Wilson); efficiency ratio (P. Kaufman); ADX / DMI / ATR / volatility-stop lineage (J. W. Wilder); anchored VWAP (industry standard); volume profile / value area / point-of-control — Market Profile (J. P. Steidlmayer, developed by J. F. Dalton); triple-barrier first-touch labelling (M. López de Prado); runs test of randomness (A. Wald & J. Wolfowitz); rescaled-range / Hurst exponent (H. E. Hurst); Brier score (G. W. Brier); Bulk Volume Classification / VPIN (D. Easley, M. López de Prado & M. O'Hara); reliability-bin (isotonic-style) calibration is standard forecasting practice. Limitations & disclaimer "Absorption" is a volume proxy — base data has no true tick order flow, so the buy/sell split is estimated from bar moves, not measured. Confidence is context, not a promise of profit. The self-test is descriptive of past behaviour on the loaded symbol (fixed barriers, no costs or slippage) — a study aid, not a backtest and not a guarantee. A measured edge is what flips did historically here, not a forecast. This script is for research and education only. It is not financial advice, not a recommendation to buy or sell, and not a guarantee of any outcome. Trading carries risk of loss; your decisions are your own. Test on your own data and use independent risk management before relying on it.

Indicator

by Market_Logic_India

Hidden Liquidity Profile [Alpha Extract]A sophisticated liquidity-mapping and support/resistance profiling framework that analyzes historical candle structure, volume, wick behaviour, and price distribution to identify hidden supply and demand zones across the chart. Hidden Liquidity Profile is designed to reveal where meaningful liquidity may be concentrated by separating sell-side and buy-side pressure into price bins, then projecting those zones forward as heat boxes, horizon lines, key price tags, and a real-time support/resistance dashboard. Rather than relying on simple pivot highs and lows, the system evaluates how volume interacted with candle ranges, upper wicks, lower wicks, candle bodies, and recency weighting. This creates a dynamic liquidity profile that highlights where price may encounter resistance, support, absorption, or reaction zones. 🔶 Hidden Liquidity Profiling Engine Builds separate supply and demand profiles across the selected lookback range. The system divides price into configurable bins, then distributes liquidity strength into those bins based on volume, candle range, wick size, body size, and age decay. energy = vol * rng * decay sellStrength = energy * (upWick * wickWeight + body * bodyWeight * sellBias) buyStrength = energy * (dnWick * wickWeight + body * bodyWeight * buyBias) This allows the indicator to estimate where sell liquidity and buy liquidity are most likely concentrated rather than only marking obvious visible highs and lows. 🔶 Supply & Demand Separation The profile separates upper-wick and lower-wick pressure into two distinct liquidity maps. Upper wick activity contributes to the supply profile, helping identify areas where sellers may have previously absorbed price movement. Lower wick activity contributes to the demand profile, helping identify zones where buyers may have previously defended price. This separation gives traders a clearer view of whether nearby levels are more likely to behave as resistance, support, or balanced liquidity. 🔶 Age-Weighted Liquidity Decay Applies a recency decay model so newer candles have stronger influence than older candles. This keeps the profile focused on liquidity that is more relevant to the current market environment while still preserving broader historical context. The Age Decay Power setting controls how aggressively older liquidity fades. Higher values emphasize recent price action more strongly, while lower values retain more historical structure. 🔶 Price Bin Distribution System Divides the analyzed price range into configurable price bins and assigns liquidity strength into each level. The Price Bins setting controls the resolution of the profile. More bins create a finer, more detailed liquidity map. Fewer bins create a smoother, broader view of major supply and demand areas. 🔶 Distribution Radius Smoothing Uses a configurable distribution radius to spread liquidity strength around nearby bins. This prevents the profile from becoming too fragmented and helps form smoother liquidity clusters. This is especially useful on volatile assets where important liquidity zones often form across small ranges rather than at one exact tick. 🔶 Liquidity Heat Box Visualization Displays supply and demand as horizontal heat boxes projected to the right side of the chart. Supply liquidity is shown on the sell side using the selected sell color, while demand liquidity is shown on the buy side using the selected buy color. Wider and brighter boxes represent stronger normalized liquidity at that price level. This creates a visual depth-style map that helps traders quickly identify where meaningful liquidity may be stacked above and below current price. 🔶 Forward Horizon Lines Projects stronger liquidity levels forward using horizontal lines. These lines act as future reference zones where price may react, pause, reject, or accelerate through. The Line Trigger setting controls how strong a liquidity level must be before it is projected. The Line Width Scale setting adjusts how visually dominant stronger levels appear. 🔶 Key Level Detection Framework Identifies the strongest supply and demand levels from the profile and labels them directly on the chart. The system can prioritize local peaks, helping avoid overcrowding and ensuring that selected levels represent distinct liquidity clusters rather than multiple nearby bins from the same zone. This scoring model favors levels with strong dominant liquidity while still accounting for total combined activity. 🔶 Supply HVN & Demand HVN Labels Marks high-volume liquidity nodes as Supply HVN or Demand HVN depending on which side of the profile dominates at that price. Each label includes the level type, normalized strength percentage, and exact price. This allows traders to quickly identify the most important liquidity levels without manually reading the full heat map. 🔶 Nearest Support & Resistance Logic Calculates the most relevant resistance above price and support below price using both liquidity strength and distance from current price. Levels closer to current price receive more practical importance, while still needing enough liquidity strength to qualify. This helps the dashboard focus on actionable nearby zones instead of simply displaying the strongest level anywhere in the lookback range. 🔶 Aura Point Of Control Identifies the strongest combined liquidity level across the profile. This Aura POC represents the price zone with the highest combined supply and demand activity. The POC can act as a major reference point for balance, rotation, acceptance, rejection, or future retests. 🔶 Liquidity Pressure Balance Compares total normalized demand against total normalized supply to estimate the broader pressure bias across the analyzed range. When demand is meaningfully stronger, the dashboard shows a demand bias. When supply dominates, it shows a supply bias. When the two sides are close, the market is classified as balanced. 🔶 Real-Time S/R Dashboard Includes a compact dashboard showing the most important liquidity information directly on the chart: • Nearest resistance level • Nearest support level • Aura POC • Supply, demand, or balanced pressure • Active liquidity level count • Current ticker reference This gives traders a quick summary of where the strongest nearby reaction zones are and whether the broader liquidity profile is tilted toward supply or demand. 🔶 Customizable Visual Controls Provides flexible display controls for heat boxes, horizon lines, key level tags, dotted key level lines, and the dashboard. Traders can adjust the number of analyzed bars, price bin resolution, liquidity smoothing, projection distance, box width, line width, and trigger thresholds to match different assets and timeframes. 🔶 Clean Overlay Design The full liquidity map is displayed directly on price without requiring a separate oscillator pane. Heat boxes appear to the right of the chart, while key levels and labels extend across the active lookback area. This keeps the chart readable while still providing a detailed view of hidden supply and demand structure. 🔶 Why Choose Hidden Liquidity Profile ? Hidden Liquidity Profile provides a more advanced way to identify potential support, resistance, and liquidity reaction zones by analyzing volume-weighted candle structure across the full price range. Instead of marking only visible swing highs and lows, it evaluates where supply and demand pressure may be concentrated based on wick behaviour, candle body participation, volume energy, and recency-weighted price distribution. The heat boxes reveal liquidity density, the horizon lines project important levels forward, the HVN labels highlight the strongest zones, and the dashboard summarizes nearest support, resistance, POC, and pressure bias in real time. Perfect for liquidity traders, support/resistance traders, intraday traders, swing traders, and market structure analysts who want a cleaner way to visualize hidden supply and demand zones directly on the chart.

Indicator

by AlphaExtract

Volume Profile - Accurate Core Architecture 1. Lower-Timeframe Precision Engine Traditional volume profiles on PulseWire can be inaccurate because they guess the volume distribution within a daily candle. This script actually pulls raw data from a lower Source TF (default 5-minute) using request.security_lower_tf and mathematically reconstructs the exact volume traded at every single price tick for the entire day. 2. The Histogram (The Profile itself) It divides the entire price range of the period into a set number of horizontal rows (default 24). It then sorts the lower timeframe volume into these rows, painting a histogram (horizontal bars) on the side of the chart. Key Trading Features 1. Point of Control (POC) The script mathematically isolates the single row with the absolute highest traded volume for the period. Action: It projects a solid red line across the chart at this exact price level. The POC acts as the ultimate "fair value" price where buyers and sellers agreed the most, making it a massive magnet for future price action and a strong support/resistance level. 2. Value Area (VA) It calculates the core range where the majority of the trading took place (default is 68% of all volume, representing one standard deviation). Action: It plots the Value Area High (VAH) and Value Area Low (VAL) as blue lines, and dynamically fills the background between them. Trading outside the Value Area represents an imbalance, while trading inside it represents balance. 3. Advanced Node Detection (HVN & LVN) This is where the script shines. It doesn't just plot the profile; it uses an algorithm to scan the shape of the profile and identify specific structural anomalies: HVN (High Volume Nodes): Peaks in the profile (other than the POC). The script automatically draws red dashed lines and boxes at these levels. They act as localized support/resistance ledges. LVN (Low Volume Nodes): Valleys or "gaps" in the profile where price moved so fast that almost zero volume was traded. LVN Areas: The script goes a step further and intelligently groups adjacent LVNs together to create an "LVN Area" box (default Lime Green). Because there is no historical volume here to stop the price, if price enters an LVN Area, it will usually slice right through it like a hot knife through butter. Visual Control It uses Pine Script's array-based object management (array, array) to dynamically clean up and redraw the profile flawlessly on every tick. You have full control in the settings over where the profile draws (Left/Right), its width, the color of the Value area vs outside the Value area, and toggles for every single specific node.

Indicator

Adaptive Volumetric Reversion Channel Fade Validator Adaptive Volumetric Reversion Channel — Fade Validator (AVRC) What it is AVRC is an anchored, volume-weighted regression channel that frames mean-reversion ("fade") setups and then gates, scores and validates them — so you can see whether fading stretched price actually has an edge on your symbol and timeframe instead of taking it on faith. It is a study / analysis framework, not a strategy and not a signal service. Why these components are combined (the mashup rationale) Fading an extreme asks three different questions, and no single classic tool answers all three. AVRC coordinates several non-redundant lenses on one shared geometry (an anchored regression channel) and one shared volatility unit (residual σ), so each lens can check the others rather than echoing it: WHERE is price stretched? A volume-weighted regression centerline with residual-σ bands is drawn against a slower macro trend-relative volume map — volume binned by σ-distance from a longer regression line. Whether the tactical band sits in a thin (fast-traversed) or thick (heavily-traded) macro node tells you if a fade is likely clean or absorbed. This cross-read is the connective tissue between the two layers. Is a reversion ACTUALLY firing? Independent "tells" at the band — a close-back rejection, a band-confluent momentum divergence, an equal-high/low liquidity sweep, and the macro-density read. Because these tells are correlated, their agreement is shrunk by a design-effect correction so echoes can't masquerade as independent confirmation. Is the market in a reverting STATE? A regime gate (variance-ratio test + a reversion-trust correlation) only passes fades when price increments offset rather than compound. An entry-time ride-risk score (macro-trend alignment, the two-centerline spread, an already-walking band, momentum, mean-reversion half-life, and multi-timeframe trend consensus) flags fades likely to be "walked" rather than reverted. The components share one geometry and one volatility unit, and each can veto the others. The goal is to suppress low-quality fades more than to generate them. How the validation layer works (what makes this more than a drawing) Every fade is logged and, a fixed horizon later, resolved: its forward return is measured in ATR units and tabulated Gate ON vs Gate OFF — follow-through %, a Wilson 95% interval, whipsaw %, and mean R per fade. Outcomes are additionally split Reverted vs Rode, by macro node (thin/thick), and by ride-risk (low/high at the running median). The panel's Edge line synthesizes this into a single read: is Gate ON's follow-through interval clearing the ungated baseline with positive mean R and enough samples? Per-fade rows also export to the Data Window for your own analysis. Every filter has to earn its place against the ungated baseline. How to use it Set the Price source (top of settings). Defaults are tuned for an intraday index future; the source is user-selectable so the framework runs on any symbol or market. Volume-based parts (heatmap, profile, POC) need a real volume feed. Read the panel top-down: Now (live setup) → State (regime + spread + compression) → the A/B scoreboard (Gate OFF, Gate ON, Revert, Ride) → Edge verdict. A fade arms when price tags the outer band and at least one tell prints, then passes only if the regime (and optional ride-risk) gate agrees. Target is the centerline or the nearest untested POC. If Gate ON does not beat Gate OFF on follow-through and mean R with non-overlapping intervals and enough samples, the edge isn't there on this symbol/timeframe — change them, don't force it. The signal is clearest on higher intraday timeframes; 1-minute is mostly noise. What is original here The original work is the coordination: a shared-σ, timeframe-adaptive regression channel used as a reversion frame; a trend-relative volume map cross-read against the band; decorrelated tells fused by a design-effect shrink; a statistical regime gate; an entry-time ride-risk score; and a built-in A/B + forward-return validation harness — combined so each lens can veto the others and the tool reports its own hit rate. It is not a re-skin of any single indicator. Concept credits (techniques are standard; this implementation is original) Volume-weighted least-squares & polynomial regression; residual-σ channels; anchored VWAP (all standard); Volume Profile / Value Area / Point of Control — Market Profile (Steidlmayer / CBOT); Variance-Ratio test — Lo & MacKinlay (1988); design effect / effective sample size — Kish (1965); proportion confidence interval — Wilson (1927); mean-reversion half-life — Ornstein–Uhlenbeck process; ATR, RSI, Parabolic SAR — Wilder; Stochastic — Lane; Supertrend (classic, MTF context). Builds on established open-source regression-channel and anchored-VWAP techniques. Settings (all defaults are on; tuned for an intraday index future) Data/Source · Volatility unit · Macro volume heatmap · Tactical channel & bands · Interrelation & band-walk · Ride-risk filter · Density cross-read · Reversion tells · Regime gate · POC targets · Fade signal · Validation & export · Dashboard & theme (auto light/dark) · MTF trend context. The two signal-suppression gates (walk-gate, ride-gate) ship off so the indicator shows its signals and lets the validation panel tell you whether enabling them helps. Disclaimer For research and education only. NOT financial advice, NOT a recommendation, and NOT a guarantee of future results. All statistics shown are in-sample on loaded history, close-to-close at the horizon, without costs or slippage — a study aid, not a backtest. Mean reversion fails in trends and during regime breaks. Do your own research and manage your own risk.

Indicator

by Market_Logic_India

Anchored VWAP Reversion Channel Anchored VWAP Reversion Channel — Regime-Gated Fade Framework ## What this script does This is an **analytical study** that frames mean-reversion ("fade") setups around an **anchored, volume-weighted regression channel**, then **gates** those setups by a statistical market-state test and **scores** them against their own forward outcomes. It does not place orders and it is not a signal service — its purpose is to let you see, on your own instrument and timeframe, whether fading a stretched move actually has an edge, instead of assuming it does. It plots one channel (a centre line plus inner/outer residual-σ bands), marks fade setups at the outer band, draws supporting context (volume-profile POC / value area, untested prior-session POCs, momentum divergences, liquidity sweeps, and multi-timeframe trend lines), and reports a compact validation panel. ## Why these components are combined (mashup rationale) Fading an extreme is really three separate questions, and no single classic indicator answers all three. Stacking look-alike indicators just echoes one input, so this tool deliberately combines **three non-redundant lenses and makes them check each other**: 1. **WHERE is price stretched?** — A **volume-weighted polynomial regression** anchored at the most recent swing pivot, with **residual-σ bands**. Because the curve tilts with the active leg, an outer-band tag stays meaningful even inside a trend, where a flat cumulative VWAP would not. A **volume profile** anchored to the *same* window supplies POC and value area, and prior-session POCs that have never since been traded through become **reversion targets**. 2. **Is a reversion actually firing here?** — Three orthogonal **tells** evaluated only at the band: a **close-back rejection**, a **band-confluent momentum divergence**, and an **equal-high/low liquidity sweep** (stop-run). Crucially, all three are derived from the same stretch, so their agreement is shrunk by a **design-effect correction** (effective-sample-size): three correlated echoes are not allowed to masquerade as three independent confirmations. 3. **Is the market in a reverting state at all?** — A **regime gate** combining a **variance-ratio test** and a **reversion-trust correlation** only lets a fade through when recent increments are offsetting (mean-reverting) rather than compounding (trending). The pieces are not bolted together side by side: they share **one geometry** (the anchored channel) and **one volatility unit** (residual σ / ATR), and each can veto the others. A band tag with no tell does nothing; a tell with no reverting regime does nothing. The design goal is to **suppress** low-quality fades — into a trend, mid-range, or backed by a single echoed tell — more than to generate them. ## The honesty layer (what makes this more than a drawing) Every fade that fires is logged and, a fixed horizon later, **resolved**: its forward return is measured in ATR units and tabulated **with the regime gate ON versus OFF**, reporting follow-through %, whipsaw %, a Wilson 95% confidence interval, and the **mean return per fade**. A per-fade series also exports to the Data Window so you can study the full return distribution offline. The gate has to **beat its own ungated baseline** to justify itself — the framework is built to be tested, not trusted blindly. ## How to use it 1. Set the **Price source** (group 01). It works on any symbol and any market; volume-based parts need a real volume feed. 2. A fade **arms** when price tags the outer band **and** at least one tell prints, then **passes** only if the regime gate reports a reverting state. Solid triangles are gated fades; the target is the centre line or the nearest untested POC. 3. Read the panel top-down: does **Gate ON** beat **Gate OFF** on both follow-through and mean R, with non-overlapping intervals and a reasonable sample size? If not, the edge is not present on this symbol/timeframe — change them rather than forcing the trade. 4. The signal lives on **higher intraday timeframes**; one-minute data is mostly noise. ## Defaults Shipped tuned for **NSE:NIFTY** index futures on intraday timeframes (sources, pivot lengths, value-area %, and the Tuesday-style weekly session context reflect that instrument). Every value is exposed as an input — change the **Price source** and the relevant lengths to run the framework on any other instrument or market. ## What is original The original work is the **coordination**, not any single formula: an anchored polynomial-regression channel used as a reversion frame, three decorrelated band tells fused by a design-effect shrink, a statistical regime gate, and a built-in A/B + forward-return validation harness — combined so each lens can veto the others and the whole thing reports its own hit rate. It is not a re-skin of one indicator. ## Concept credits (techniques are standard; this implementation is original) Anchored VWAP (standard); volume-weighted least-squares / polynomial regression (standard); residual-σ channel (standard); Volume Profile, Value Area and POC — Market Profile, Steidlmayer / CBOT; Variance-Ratio test — Lo & MacKinlay (1988); design effect / effective sample size — Kish (1965); proportion confidence interval — Wilson (1927); ATR trailing stop / Supertrend (classic, used for the multi-timeframe context lines); RSI — Wilder; Stochastic — Lane. ## Disclaimer For research and education only. This is an analytical study, **not** financial advice, **not** a recommendation, and **not** a guarantee of future results. All statistics shown are **in-sample** on loaded history, close-to-close, without costs or slippage — a study aid, not a backtest. Mean reversion fails in trends and through regime breaks. Do your own research and manage your own risk.

Indicator

by Market_Logic_India

Liquidity Map & Execution Cost # Liquidity Map & Execution Cost ## What this script does LMX answers three execution questions most indicators ignore: **how expensive is it to get in and out right now, how hard would it be to move size, and where on the chart will price struggle versus travel freely.** It reads only the chart's own price and volume — no symbol is hardcoded, so it runs on any asset and any market (equities, futures, FX, crypto, indices) — and turns the answers into a plain-language trade check: liquidity state, suggested position size, order type, estimated slippage, and a colour-coded map of support, resistance, walls and open gaps. ## Why these components are combined (mashup justification) This is not several indicators stacked together — it is one liquidity model whose parts each answer a question the others cannot, and they are designed to be read together. Removing any one leaves a specific blind spot: 1. **Cost to cross — effective spread.** Estimated with the EDGE estimator (Ardia, Guidotti & Kroencke 2024) from open/high/low/close, cross-checked against Abdi-Ranaldo (2017) and Corwin-Schultz (2012). This tells you the round-trip cost of entering, which spread-blind tools cannot show. Alone, it says nothing about moving size or about levels. 2. **Cost to move size — price impact.** The Amihud (2002) illiquidity ratio with a high-low refinement, plus a rolling Kyle (1985) lambda computed as a true regression slope. This tells you how far your own order would push price — the question that matters for sizing, and one a spread estimate cannot answer. 3. **Direction of pressure — order imbalance.** A close-location signed-volume imbalance and its persistence. This tells you which side is leaning now, adding direction that the cost measures lack. 4. **The spatial map — volume at price.** A time-decay-weighted, range-distributed volume profile that yields the Point of Control and Value Area (standard 70% method), rendered as directional zones: green support below price, red resistance above, solid = a wall price struggles at, faint = an open gap price slides through. This converts the abstract cost/impact numbers into *locations* on the chart. 5. **Anchored VWAP — fair value.** A volume-weighted average anchored to your chosen reference (last major swing by default; or session/week/month open, or the highest-volume bar), drawn as a trend-coloured line. It is the dynamic counterpart to the static profile: where the average participant is positioned, and whether price is rich or cheap versus that. Together they form one decision: the spread and impact set the **cost and size**, the imbalance and VWAP set the **direction and fair value**, and the map sets the **location** — so the output is "trade full size with market orders, buyers in control, room to run up to the gap above," not five separate readings. ## How a reading is produced Each estimator is normalised to a percentile of its own history so thresholds adapt to every symbol and timeframe. The inverted spread, inverted impact and depth combine into a 0–100 **Liquidity Score**, classified as Deep / Normal / Thin / Stressed (a sudden impact spike forces Stressed). The score drives the suggested size multiplier, the order-type advice and the slippage estimate. The map is rebuilt on the last bar from the volume-at-price profile. ## How to use it - Apply to any symbol. Set the price source and, if you trade very low intraday timeframes, optionally fix the calc timeframe (e.g. Daily) so the spread estimators stay stable. On symbols without real volume the volume modules disable automatically and the score leans on the spread estimators (the panel shows "price-only"). - **Simple mode (default)** gives plain-language guidance: Liquidity, Trade cost, Pressure, Position size, Orders, Watch-out, Fair value, and a one-line verdict. **Pro mode** exposes the full readout (spread in bps, Amihud and Kyle percentiles, depth, imbalance, flow persistence, value-area levels). - On the chart: trade toward green support, expect resistance at red, size down where the map is thin (price moves fast there), and read the trend-coloured fair-value line for rich/cheap context. - Alerts: liquidity-state change and sudden liquidity withdrawal. ## Originality The combination is the original contribution: a single overlay that fuses low-frequency **spread**, **impact** and **imbalance** estimators with a **time-decay, range-distributed volume profile** and an anchored fair-value line, then translates all of it into sizing/order/slippage decisions in plain language. The building blocks are public-domain methods (EDGE, Abdi-Ranaldo, Corwin-Schultz, Amihud, Kyle, volume-profile Value Area, anchored VWAP), each used for the specific job described above and cited in the script header. ## Limitations (please read) - These are **low-frequency estimators** of quantities normally measured from quote/tick data. They approximate — they do not measure — the true spread, depth, or dealer book. - Volume-based modules require a real volume feed; they disable on symbols without one. - Spread estimators were validated on daily-type bars; on very fast intraday timeframes they are noisier — use the calc-timeframe option if needed. - The on-panel statistics are computed on the loaded chart history. - This is an analysis tool, **not financial advice.** Test before use and trade at your own risk.

Indicator

by Market_Logic_India

Delta by Price (Delta Volume Profile)🔹 Introduction This indicator, Delta by Price (Delta Volume Profile), takes the familiar concept of a volume profile and replaces raw traded volume with net directional volume (delta) at each price level. Instead of showing how much volume traded at a price, it shows which side was more aggressive at that price — buyers or sellers. The idea is straightforward: if a price level absorbed significantly more aggressive buying than selling (or vice versa), that level likely represents a meaningful shift in who was in control of the auction at that point in the range. One thing to be upfront about: true tick-by-tick delta isn't available to Pine scripts. This indicator approximates delta by pulling lower-timeframe bars within each higher-timeframe bar and classifying each LTF bar's volume as buy-side or sell-side based on whether it closed above or below its open. It's a proxy, not a recording of the actual order book — but it's the same proxy nearly all publicly available delta tools use, and it tends to track real aggressor flow reasonably well over meaningful sample sizes. 🔹 The Premise / Background Theory 🔸 Volume tells you "how much," delta tells you "who pushed" A standard volume profile answers one question: how much volume traded at each price? It's useful for finding high-volume nodes (areas of acceptance) and low-volume nodes (areas of rejection), but it's directionally blind. A price level with 1,000 contracts could be 500 aggressive buys and 500 aggressive sells — pure equilibrium — or it could be 950 buys and 50 sells, meaning that level was overwhelmingly bought into. Delta separates these two scenarios. A delta profile takes that same volume and splits it by aggressor side, then nets it. The result is a histogram that shows not just where volume concentrated, but which direction the pressure leaned at every price. 🔸 A concrete example Assume price moves through a range from 5,000 to 5,010 over a session. At the 5,002 level, three separate visits occur. On the first visit, an LTF bar closes higher than it opened with volume of 200 — classified as buy-side. On the second visit, another bar closes lower than it opened with volume of 150 — sell-side. On the third visit, a bar closes higher with volume of 300 — buy-side. Net delta at 5,002 = +200 − 150 + 300 = +350. Total volume at 5,002 = 200 + 150 + 300 = 650. A standard volume profile would just show "650 contracts traded here." The delta profile shows +350 net buying — meaning roughly 54% more buy-side aggression than sell-side at that exact price. If you saw a level like this near the low of a range, it might suggest buyers stepped in there with conviction, not just that "a lot happened" there. 🔸 Why distribute delta across a bar's range instead of just its close Each higher-timeframe bar has a high and a low, and the LTF bars that compose it trade across that entire range — not just at the close. This indicator takes each HTF bar's net delta and spreads it proportionally across every price bin the bar's high-to-low range touches. This is an assumption, not a measurement. In reality, delta within a single bar isn't evenly distributed across its range — more of it likely occurred near where price spent the most time. But without LTF-by-LTF price-level tracking (which would be computationally heavy and hit Pine's lower-timeframe data limits quickly), even distribution across the bar's range is the most defensible simplification available. Wider bars contribute a thinner "smear" of delta per price bin; narrow bars concentrate their delta into fewer bins. Over a large enough sample, this tends to average out reasonably well. 🔹 How It Works 🔸 Profile Range: Session vs. Rolling Lookback The indicator builds its profile from one of two data windows, selectable in settings. Session mode mirrors how a session volume profile works — it resets at the start of each new session (defined by the session time input) and accumulates only the bars within that session. This is the natural choice if you want to see, for example, today's regular trading hours delta distribution reset cleanly each day, the same way you'd look at a daily session volume profile. Rolling Lookback mode instead uses a fixed number of the most recent closed bars (configurable, default 200), regardless of session boundaries. This is useful for a continuously updating view of recent delta structure that isn't tied to calendar sessions — helpful for instruments or sessions that don't fit a clean daily reset (e.g. 24-hour futures markets). There are limitations here worth noting. Session mode depends on the session time input matching how you actually think about your trading day. If you trade through multiple sessions (e.g. Asian, London, NY) and only select one as your "session," the profile will reset and rebuild only around that window — bars outside it are ignored entirely. 🔸 Number of Price Rows This setting controls how finely the price range is divided into bins — effectively the "resolution" of the profile. A higher row count gives more granular price-level detail but spreads the available delta across more bins, making each individual bin's bar shorter and potentially noisier. A lower row count aggregates more price action into each bin, producing a smoother, more visually digestible profile but losing some precision about exactly where within a price cluster the delta concentrated. This is a resolution-versus-noise tradeoff — there's no universally correct setting, and it's worth adjusting based on the instrument's typical range and tick size. 🔸 Extend Direction The profile can be drawn extending to the right of the current bar (the default, useful when you want the profile visible without obscuring recent price action to the left) or to the left, anchored at the start of the lookback/session window — placing it where the data actually begins, similar to how some volume profile tools anchor to the left edge of the range being measured. This is purely a visual/layout preference and doesn't change any underlying calculation — it only affects where the horizontal delta bars are drawn relative to price. 🔸 Point of Control (POC) When enabled, a label marks the price bin with the highest total absolute volume (buy-side + sell-side combined, not net delta) — analogous to the POC on a standard volume profile. This identifies where the most total activity occurred, regardless of which direction it leaned. It's possible — and informative — for the POC bin to have a relatively small net delta despite high total volume, which would indicate that level saw heavy two-sided participation rather than one-sided conviction. 🔸 Custom Lower Timeframe By default, the indicator automatically selects a lower timeframe for delta calculation based on your chart's timeframe (1-second charts use 1S, intraday charts use 1-minute, daily charts use 5-minute, and anything larger uses 60-minute). You can override this manually. The tradeoff here is precision versus data availability. A finer LTF gives a more granular delta classification per HTF bar, but request.security_lower_tf() has practical limits on how many LTF bars it can return per HTF bar — on very large lookbacks with a very fine LTF relative to your chart timeframe, you may not get the full intrabar picture for older bars. 🔹 Closing Remarks A delta-by-price profile doesn't tell you why buyers or sellers were more aggressive at a given level — only that they were, based on a reasonable proxy for aggressor classification. Large net-delta clusters don't guarantee future support or resistance. They're best treated as a layer of context: a way of seeing whether the volume that built a price level was directionally lopsided or balanced, which can complement (not replace) your read of structure, location, and broader order flow. Used alongside the rest of your framework, it's another lens for asking the same underlying question every footprint-based approach asks: was this level built by conviction, or by indecision?

Indicator

by Resonant_Trader

Volume Profile Composite, Naked POC & Value-Area Volume Profile — Composite, Naked POC & Value-Area ================================================== WHAT IT IS A volume-at-price profile built for depth and decisions. It measures where trade actually concentrated across the loaded history, distils that distribution into the levels traders use — Point of Control (POC), Value Area (VAH/VAL), High and Low Volume Nodes (HVN/LVN), and untested "naked" prior-session POCs — and then converts those levels into a plain-language read of where price sits in the auction (premium, discount, or inside value; balancing or migrating). It is a study for chart analysis and education. It plots levels and context; it does not place orders and does not output buy/sell signals. HOW IT WORKS (ENGINE) Volume is accumulated bar by bar into a price-keyed map on a fine grid (the symbol's minimum tick multiplied by a user factor), then re-aggregated to the chosen number of display rows. Because the engine uses a map rather than a fixed lookback array, the profile can span every loaded bar instead of only a recent window, and it is not limited by the historical bar-reference ceiling. Each bar's volume is distributed across that bar's high-low range over a capped number of samples, and tagged buy or sell by bar direction, producing a two-tone histogram and a per-level delta. Where intrabar (lower-timeframe) data is available, recent history can optionally be refined from it; older bars fall back to the bar-range method. The Value Area is grown outward from the POC bin until the chosen percentage of total volume is captured. Prior-day, prior-week and full-history composite levels reuse the same value-area routine on their own maps. The heavy redraw runs on bar open/close rather than on every realtime tick, to keep live charts responsive. WHY THESE COMPONENTS ARE COMBINED (MASHUP JUSTIFICATION) This is one volume-profile engine, not a stack of independent indicators. Every layer is computed FROM THE SAME accumulated volume map, and each one exists to remove a specific blind spot of the raw histogram. A bare histogram only answers "where did volume happen"; it cannot tell you whether price is rich or cheap, which level matters next, or whether the market is balancing or trending. The combined layers answer those questions, and they work together as follows: - POC and Value Area transform the raw distribution into a fair-value frame, so every other reading can be expressed as premium, discount, or inside value. - HVN and LVN classify each price level produced by that same distribution as acceptance (a volume shelf where reactions are more likely) or a thin gap (where price tends to move quickly). This tells you how a level is likely to behave, which the POC/Value Area alone do not. - Naked prior-session POCs carry acceptance forward in time: they are POCs from earlier sessions that price has not yet traded back through, derived from the same per-session maps, and they act as revisit references. - Value migration is simply the sequence of those session POCs read as a direction, turning the profile history into a balancing-versus-trending read. - The composite overlay keeps the full-history POC and Value Area in view while you work a shorter, more legible recent window, so context is never lost. - VWAP, Initial Balance, an expected-move band, and cumulative-volume-delta divergence are confluence layers. They are optional and each degrades gracefully if its data is absent. They are included because volume-profile levels are used in context: VWAP gives the session's volume-weighted mean, Initial Balance gives the opening reference, the expected-move band frames a realistic day's range, and CVD-versus-price flags exhaustion. Each one answers "does independent volume/price information agree with what the profile shows here?", which is exactly how these levels are traded in practice. - The Auto-Read is the synthesis step: it does not add new data, it ranks the levels the engine already produced by distance to price and states the auction context in words. In short, the histogram is the raw material and every other element is a transformation of that same data into a level, a classification, a confluence check, or a written read. That shared derivation is the reason they belong in a single script rather than as separate indicators. WHAT IT PLOTS - Buy/sell two-tone histogram, drawn in the clear space to the right of price so candles stay visible. - POC, Value Area (VAH/VAL, adjustable percentage), HVN/LVN nodes. - Naked daily POCs, with a creation-time check that skips levels already traded through and an optional age-out so the list stays meaningful. - Polarity flip: a prior-day Value Area edge that price closes decisively beyond and holds changes role (broken VAH becomes support; broken VAL becomes resistance) and feeds the support/resistance read. - Prior-day and prior-week POC/Value Area, full-history composite overlay, developing POC. - VWAP with standard-deviation bands, Initial Balance, expected-move band, cumulative-volume-delta divergence, buy/sell imbalance shelves, poor highs/lows, single-print gaps. - Higher-timeframe POC bias (a light proxy — see Limitations). - Auto-Read dashboard (full or compact), one-line headline, and an on-chart identity strip showing the script name, symbol and timeframe. HOW TO USE 1. Choose a scope: Rolling (default), Composite (all history), From date, or Fixed range. The composite overlay keeps the big-picture levels visible. 2. Read location first from the headline or dashboard: inside value, premium, or discount, and whether value is migrating up, down, or flat. 3. Treat the levels as a map, not a signal. POC acts as a mean-revert magnet; Value Area edges are balance boundaries; HVN suggests stalls; LVN suggests fast moves; a naked POC is a revisit reference. 4. Look for confluence with VWAP, Initial Balance, and prior-session levels, and treat CVD divergence as a caution flag. 5. Detail presets (Simple / Standard / Pro) gate how much is shown. A compact dashboard toggle trims the table to the key decision fields. WHAT MAKES IT ORIGINAL - Full-history depth via the price-keyed map, beyond a fixed lookback window. - A built-in, past-only calibration of the profile's own claims: it logs value-edge and POC-stretch reversion events against the prior-day Value Area (which exists on every bar, so the measurement backfills over history), waits a fixed horizon, and reports the realised hit-rate with a 95% confidence interval. This is descriptive of past behaviour on the specific instrument; it is explicitly not a backtest and not a forecast. - A decision-ordered, plain-language Auto-Read derived entirely from the engine's own levels. DATA SOURCE AND ANY-MARKET USE The volume source is user-selectable (Settings > Data source), so the profile can be built from the symbol's own volume or from any other series your feed provides. For symbols that report no native volume (some cash indices and FX feeds), an optional "borrow volume" field lets you supply a volume-bearing proxy for the same instrument; it only activates when the charted symbol genuinely has no volume. The volatility-index symbol for the expected-move band is also user-set and falls back to a daily-ATR band when left blank. An optional asset-class auto-tune adapts the grid and node percentiles to the detected class. All of these are blank or off by default, so nothing is tied to one market. CALIBRATION NOTE The calibration panel is descriptive only. It reports how often, in the past, on the current symbol, price followed through after the logged events. Small samples are flagged. It is not a probability of future results. LIMITATIONS (HONEST) - This uses a BAR-RANGE volume distribution (optionally refined by lower-timeframe bars). It approximates where volume traded within each bar. It is NOT exchange price-by-price volume, tick data, or order-flow/footprint, and it cannot see bid/ask. - It needs real volume. Cash indices often report none — use the matching future or continuous contract, or the borrow-volume field. - The higher-timeframe POC is a light single-bar proxy (the price of the highest-volume higher-timeframe bar over a lookback), not a full higher- timeframe profile. - All readings are probabilistic context, not predictions. DISCLAIMER This script is a study/indicator for chart analysis and education only. It is NOT a strategy, NOT a recommendation, and NOT financial advice. It places no orders and guarantees no result. Trading involves substantial risk; a level's past behaviour does not assure future behaviour. Do your own research and manage your own risk.

Indicator

by Market_Logic_India

Anchored VWAP Channel Anchored VWAP Channel — Regime, Confluence & Reversals What it is This is a single overlay that builds a complete read of price around one Anchored VWAP. Instead of just drawing a VWAP line, it wraps the VWAP in a volatility channel and then layers the context a discretionary trader normally checks by eye — where price sits versus fair value, whether the move is trending or stretched, where high-volume and Fibonacci levels line up, and where the edges are getting rejected. Everything is derived from the same anchor and measured in the same volatility unit (one standard deviation, σ), so the pieces describe one structure rather than competing with each other. It runs on any asset class and any timeframe. On instruments that carry real volume (stocks, futures, crypto, etc.) the VWAP, the channel, and the volume profile are fully volume-weighted; on feeds without real volume it falls back gracefully and flags the change in the table (see "Notes and limitations"). Why these components are combined (and how they work together) This is intentionally a mashup, and the parts are chosen because they answer different questions about the same reference point: • The Anchored VWAP is the fair-value anchor — the volume-weighted average price since a chosen pivot. • The channel turns dispersion around that anchor into a measurable unit: the bands are the AVWAP ± k·σ, where σ is the volume-weighted standard deviation of price about the VWAP. This converts "how far is price from fair value" into a number (σ-distance) every other module can reuse. • The regime read uses that σ-distance together with the VWAP slope and the band behaviour to label continuation vs reversal — so the same channel that draws the bands also tells you whether to trust a band tag or fade it. • The volume profile (Point of Control + Value Area) is computed over the same anchored window, so the high-volume price and the value range are measured on exactly the data the VWAP is built from — not an arbitrary separate lookback. • The Fibonacci grid is drawn on the active swing leg and is only emphasised where a level coincides with the VWAP, a band, or the POC. The channel and profile are what make a fib level meaningful here; on their own the fib levels would be just lines. • The reversal signals fire on outer-band rejections, and the optional confluence filter suppresses them while the regime is strongly trending (when band tags tend to continue) — i.e. one module gates another. In short: the channel produces a σ-distance, and the regime, profile, fib confluence, reversal logic, divergence and squeeze modules all consume that single shared measurement. That shared plumbing is the reason these are bundled into one script instead of run as six separate indicators. What it plots • Anchored VWAP centerline with a glow halo, colored by slope direction. • Channel bands at ±1σ and ±2σ. The fill can be a "reversion heat" gradient (denser toward the outer band, red above the VWAP, green below) or a neutral glow, or off. • Volume profile drawn as a translucent Value Area box (VAL→VAH) with a distinct POC line — kept visually and positionally separate from the fib lines so the two are never confused. • Fibonacci grid (active-leg retracement, plus optional swing-to-swing), with confluence levels marked by a star and a brighter tone. • Signals: trend-shift triangles on VWAP reclaim/loss; solid reversal labels on band rejections; diamonds and connecting lines for σ-distance divergence; a marker on volatility-squeeze release. • Status table (single panel): regime, bias, σ-distance, AVWAP, POC, Value Area, squeeze state, divergence, a reversion stop/target/RR template, a data-health row, multi-timeframe regime agreement, and a built-in legend. • Optional forward projection cone and an optional self-calibration panel that scores how past signals resolved. Anchor modes Rolling (fixed bar window), Swing Low, Swing High, or Dual (auto — anchors to the more recent significant pivot). Pivot detection uses bar-count lookbacks (8/13/21/34/55/89), so the entire tool self-scales to any timeframe. How to use it 1. Read the table first: regime + σ-distance tell you whether price is trending or stretched, and how far from fair value it is. 2. Use the bands as context — near the centerline is fair value; the ±2σ edge is where reversion risk is highest (and the heat fill shades it). 3. Treat reversal labels as fade-the-stretch signals, strongest when the regime is not trending and when a divergence diamond agrees. 4. Use trend-shift triangles (VWAP reclaim/loss) for continuation context. 5. Use fib-confluence stars and the Value Area box / POC as the levels most likely to react. 6. Check multi-timeframe agreement in the table before acting. 7. Optionally turn on the calibration panel to see, on your own symbol and timeframe, how often each signal type has historically followed through. What makes it original • A single shared σ framework: bands, regime, divergence, reversals and risk template all read from one volume-weighted standard-deviation measurement around one anchor, rather than bolting unrelated indicators together. • Reversion-heat channel fill that encodes reversion risk as color density. • Confluence-filtered reversals — band rejections gated by regime/divergence. • Volume profile rendered as a separated zone so it never blends into the fib levels. • A transparent self-calibration panel that scores the script's own signals against a follow-through threshold (descriptive, not a backtest). Key settings • Calculation Source — works on any asset/market; default hlc3, switchable to close, hl2, ohlc4, etc. • Anchor mode and pivot/rolling length. • Inner/outer band multipliers and fill style. • Signal sensitivity, session-open filter, reversal-confirmation strictness. • Table position / text size / legend, and toggles for every module. Notes and limitations • Signals are evaluated on closed bars; the σ-distance divergence confirms a few bars after a pivot by design, so it prints late (this is normal for pivot-based divergence and is not repainting of confirmed history). • Last-bar drawings (profile, fib, projection cone) are redrawn on each new bar and will shift forward — that is expected. • Asset classes / volume: runs on any market and any timeframe. On instruments that carry real volume (stocks, futures, crypto, etc.) the Anchored VWAP, the volume-weighted σ channel, and the Volume Profile (POC / Value Area) are all fully volume-weighted as intended. On feeds with no real volume (e.g. spot forex, some indices / CFDs) the script still works but degrades gracefully: the VWAP becomes a simple anchored mean, the channel uses an unweighted standard deviation, and the profile becomes a time-at-price distribution. The Data row in the table flags this state as "no-vol / DEGRADED" so you always know which mode you are in. • The multi-timeframe dashboard uses higher-timeframe requests; you can turn it off to reduce load. • This is an analysis/visualization tool, not a strategy — it does not place orders and is not optimized or backtested for entries/exits. Disclaimer This script is provided for educational and informational purposes only and is not financial, investment, or trading advice. It does not predict future prices. Markets carry risk and you can lose money. Past behaviour of any signal (including the calibration panel) does not guarantee future results. Always do your own research and consider consulting a licensed financial professional before trading. You are solely responsible for your decisions and their outcomes.

Indicator

by Market_Logic_India

Ribbon Conviction System Ribbon Conviction System — Trend, Flow, Value and Adaptive Stop Overview This is a single decision-support system for intraday traders. It answers three questions on one chart: which way is the trend, how much conviction is behind the current move, and where a logical trailing stop sits. A moving-average ribbon defines direction, a conviction score from 0 to 100% grades every signal, and an adaptive volatility stop marks risk. The components are designed to work together as one filtered signal, not as a loose collection of separate indicators. Why these components are combined A moving-average crossover on its own fires constantly in sideways markets and gives no sense of whether a cross is meaningful. Each part added here exists to fix a specific weakness of the part before it, so the result is one filtered signal rather than several indicators stacked on a chart. Ribbon (direction). Five Fibonacci-length averages — 8, 13, 21, 34, 55 — using a mix of Hull, EMA and Kaufman Adaptive Moving Average (KAMA). The KAMA anchors deliberately flatten in choppy conditions, so the ribbon stops giving direction when there is no trend. Weakness it leaves open: a crossover can still fire on a weak, low-conviction move. Conviction score (filter). Instead of taking every crossover, each signal is graded 0–100% by blending four independent readings of the same bar, chosen because they measure different things rather than repeat each other: Buy/sell flow — net buying versus selling pressure, inferred from lower-timeframe price-and-volume behaviour. Effort vs move — how far price travelled for the volume spent; absorption and churn are penalised. Trend quality — Kaufman Efficiency Ratio: directional travel divided by total path, separating trend from noise. Price location — is price on the right side of value? Blends session VWAP slope, a swing-anchored VWAP, the session volume-profile value area (VAH/VAL/POC), and the prior session's VWAP and unfilled POC. A flow-toxicity proxy (VPIN-style) then lowers the score when flow looks one-sided and unstable. Weakness it leaves open: all four readings come from the chart timeframe, so they can agree for the wrong reason. Higher-timeframe agreement (independent confirmation). The same volatility-stop direction is computed on 3×, 5× and 15× the chart timeframe and folded in as a multiplier, not a fifth blended input. It is kept separate precisely because it is the one genuinely independent check on the chart-timeframe score: full agreement raises conviction, disagreement lowers it. Adaptive volatility stop (risk). A Chande-style volatility stop whose ATR period and multiplier adapt through the Efficiency Ratio, so the stop tightens in clean trends and widens in chop. This turns the tool from "where is the signal" into "where is my risk if I take it." How they work together Direction (ribbon) decides the side. The conviction score decides whether a crossover on that side is worth showing and how strongly. Higher-timeframe agreement scales that conviction up or down. The adaptive stop shows the exit reference. Every signal is the product of all four stages working in sequence. What it plots The five-average ribbon with shaded bands; the 55 line is the bold trend-reference band. Signal badges at qualifying crossovers, labelled with the band crossed and the conviction percent (for example "21 65%"). Optional value references: session VWAP, swing-anchored VWAP with bands, volume-profile VAH/VAL/POC, and the prior session's VWAP and POC. The adaptive volatility stop as a step line with a live distance label. A compact dashboard summarising trend, conviction and each component, higher-timeframe agreement, the stop, and the data mode. A small higher-timeframe agreement ribbon. How to use Add it to an intraday chart. The defaults suit index futures, but direction works on any symbol. Spot vs futures: many spot indices publish no real volume, which the flow, value-area and toxicity parts depend on. Under "Data source" the script auto-detects this and switches the volume-based parts to a time-at-price method so everything still works; you can also set the mode manually. The dashboard "Data" row shows which mode is active. Trade in the ribbon's direction. Prefer signals with a higher conviction percent and higher-timeframe agreement, and treat low-conviction crosses as noise. Use "Hide signals weaker than" to suppress them. Use the adaptive stop as a trailing-risk reference, sized to your own plan. The "Look & size" group controls signal size, dashboard size and position, a "Minimal" preset (ribbon + signals + stop only), and band lightness. Originality The individual techniques — adaptive moving averages, the Efficiency Ratio, effort-versus-result, VWAP, volume profile and volatility stops — are publicly documented. What is original here is the integration: a single conviction score that fuses chart-timeframe flow, effort, efficiency and value, damps it by flow toxicity, and scales it by independent higher-timeframe agreement, then gates an adaptive-stop-aware signal on that score. The components were selected so each covers a distinct weakness, and redundant filters were deliberately left out to keep one clear signal. Credits Perry Kaufman — Adaptive Moving Average and Efficiency Ratio. Tushar Chande — Volatility Stop concept. The effort-versus-result component is an original, compact reimplementation inspired by the publicly described effort-versus-result method from the volume-spread-analysis lineage. Disclaimer This script is for education and information only. It is not financial, investment or trading advice and does not guarantee any outcome. Signals describe current conditions; they do not predict the future. Markets carry substantial risk of loss. Volume-based readings depend on the data feed and are unreliable on instruments without real volume. Always test on your own market and timeframe, and manage risk with your own stops and position sizing. The author is not a licensed financial advisor; consult a qualified professional before making financial decisions. You are solely responsible for your own trading decisions.

Indicator

by Market_Logic_India

Polynomial/Linear Regression Volume Profile [BigBeluga]Polynomial/Linear Regression Volume Profile is a state-of-the-art charting framework that blends advanced statistical modeling with localized volume distribution analysis. By evolving past traditional, static horizontal volume profiles, this indicator dynamically curves the volume profile matrix around mathematical trend baselines, giving you a hyper-localized view of value zones, support, and resistance across the trend’s lifecycle. Equipped with a switchable Ordinary Least Squares (OLS) calculation engine, traders can analyze price distribution relative to a straight path (Linear) or an adaptive structural arc (Polynomial). 🔵 RECURSIVE REGRESSION BASELINES Adaptive Curve Fitting Engine: Choose between a straight-line trend tracking framework (Linear) or an advanced second-degree curved path (Polynomial). This non-linear baseline curves dynamically to track real institutional momentum shifts, avoiding the lag or rigid delays typical of standard moving averages. Symmetric Grid Segmentation: The indicator slices the regression space into dynamic parallel layers above and below the center line. These tracking cells act as a structural map of the trend, automatically expanding or contracting based on the mathematical bounds of the lookback period. Standard Deviation Wave Bands: Plots dedicated tracking envelopes at 1, 2, and 3 Standard Deviations. This maps statistical extremes instantly, highlighting key valuation zones directly on the chart. 🔵 CURVED ORDER FLOW PROFILE Dynamic Trend-Anchored Volume Profile: Traditional volume profiles are anchored strictly to vertical price grids. This framework bends the profile horizontally along the path of the regression curve. This ensures volume is localized directly relative to the trend's value matrix rather than arbitrary static prices. Dynamic Point of Control Matrix (POC): The tool calculates cumulative transaction weights across each regression row. The absolute highest volume cluster is highlighted across the entire lookback window as a vivid Point of Control (POC) baseline, serving as a primary target magnet for price discovery. Gradient Density Mapping: Volume bins are colored with a responsive heat-map gradient. Low-volume zones fade into deep baseline tones, while high-volume institutional interest areas light up dynamically, reflecting heavy positional accumulation. 🔵 DATA INTERFACE & CONTROLS Regression Matrix Dashboard (Top-Right): A neat information center providing live metrics, including current trend direction (Bullish/Bearish), the numerical value of the POC level, the exact transactional volume resting at that key node, and structural $\pm3\text{ SD}$ channel limits. Precision Profile Scaling: Adjust the profile width parameters to limit or extend how far back profile bins stretch across your chart space to prevent layout clutter. Complete Style Personalization: Individualized visual controls allow you to switch line architectures (Solid, Dashed, Dotted) across baselines, boundaries, and POC paths. 🔵 STRATEGIC APPLICATION Trading the Trend Value Nodes: Treat the dynamic POC line as a trend anchor. In a strong bullish trend, pullback entries occurring at a highly concentrated, heat-mapped POC node represent low-risk, high-probability entry criteria. Mean Reversion at Statistical Boundaries: When price extends completely out to the dynamic outer channel limit and volume density in that outer bin thins out, look for a swift mean-reversion snapback toward the baseline. Volume Profile Breakouts: Low-volume zones (gaps in the curved profile) indicate price levels that the market skipped quickly due to high momentum. If price breaks past a thick volume node into a low-volume zone, it is likely to sprint quickly toward the next major heat-mapped node. Structural Regime Tracking: Use the upper-right dashboard to instantly evaluate macro status. If the matrix shifts between Bullish and Bearish while price hovers consistently near a high-volume POC, it implies heavy institutional distribution is occurring before the next major expansion. Polynomial/Linear Regression Volume Profile redefines volume structure. By wrapping the laws of order flow directly around mathematical curves, it gives trend traders an elite perspective to trade with precision, statistical logic, and institutional order flow visibility.

Indicator

Elaris Candle Liquidity POC Pro # Elaris Candle Liquidity POC Pro Elaris Candle Liquidity POC Pro is an advanced candle-level liquidity and volume concentration indicator designed to help traders identify where the market executed the highest amount of activity inside individual candles. Instead of treating a candle as a single price bar, the indicator analyzes internal price distribution and estimates where the majority of trading volume was concentrated. These liquidity concentration levels are displayed directly on the chart as clean bullish and bearish POC (Point of Control) levels. The result is a lightweight micro-volume profiling system that helps traders visualize: • High-interest liquidity prices • Strong reaction levels • Potential support and resistance areas • Untested liquidity zones • Retest opportunities • Aggressive buying and selling pressure inside candles The indicator uses optional lower timeframe precision to improve internal candle analysis while remaining optimized for real-time chart performance. ━━━━━━━━━━━━━━━━━━ FEATURES ━━━━━━━━━━━━━━━━━━ • Candle-Level Liquidity Profiling Analyzes each candle internally to estimate the most active traded price zone. • Bullish & Bearish Liquidity Detection Green levels highlight bullish liquidity concentration while red levels highlight bearish concentration. • Untested Liquidity Tracking Important liquidity levels can extend forward until price revisits and tests them. • Liquidity Retest Signals Optional retest markers appear when price revisits strong liquidity zones. • Strength Scoring System Each liquidity level is scored using concentration and relative volume strength. • Lower Timeframe Precision Mode Uses lower timeframe candles to improve volume distribution estimation inside each candle. • Smart Filtering Reduce noise by filtering weak liquidity candles and focusing on stronger institutional-style activity. • Liquidity Zones Optional shaded micro-zones help visualize reaction areas around major POCs. • Built-In Dashboard Simple dashboard and legend help users understand current liquidity conditions directly on chart. ━━━━━━━━━━━━━━━━━━ HOW TO USE ━━━━━━━━━━━━━━━━━━ • Strong bullish liquidity levels may act as support or accumulation zones. • Strong bearish liquidity levels may act as resistance or distribution zones. • Untested levels can remain important until price revisits them. • Retest signals may help identify continuation or rejection opportunities after liquidity interaction. • Higher concentration percentages often indicate stronger market participation at a specific price level. This tool is designed to complement price action, structure analysis, and risk management — not replace them. ━━━━━━━━━━━━━━━━━━ NON-REPAINTING ━━━━━━━━━━━━━━━━━━ This indicator is designed to be non-repainting. Liquidity levels are only confirmed and plotted after candle close. ━━━━━━━━━━━━━━━━━━ IMPORTANT NOTES ━━━━━━━━━━━━━━━━━━ • Internal volume distribution is estimated using available chart and lower timeframe data. • Lower timeframe precision depends on PulseWire data availability. • This indicator does not predict future price direction. • No indicator guarantees profitable trades or future performance. Always use proper risk management and personal confirmation before entering trades. ━━━━━━━━━━━━━━━━━━ BEST USE CASES ━━━━━━━━━━━━━━━━━━ • Crypto Futures • Scalping • Intraday Trading • Liquidity-Based Trading • Price Action Trading • Volume Analysis • Support & Resistance Mapping • Session Trading

Indicator

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