Trend Strength Meter [AGPro Series]Trend Strength Meter
⚡ OVERVIEW
Trend Strength Meter is a multi-factor composite oscillator that quantifies how strong a directional trend actually is, on a single 0-to-100 score. It merges five independent trend dimensions (ADX, slope angle, momentum ROC, moving-average alignment, and pullback depth) into one weighted reading, then classifies the market into three clear states: Strong Trend (80+), Mild Trend (50-80), and Weak / Range (<50). The goal is to give a trader the answer to one of the most common daily questions in technical analysis: "Is the trend strong enough to act on right now, or is it fading?"
The indicator is built for discretionary and systematic traders who want a single, normalized number instead of reading half a dozen separate trend tools. It is scale-invariant (ATR-normalized) and works across timeframes and instruments.
🎯 UNIQUE EDGE
Trend-strength tools usually give a single-factor reading (for example, ADX alone) which can be misleading. ADX can be high during range contractions, slopes can spike during noise, MA stacks can be aligned while price sits deep in pullback. This indicator fuses all five dimensions so that no single factor can dominate the score without confirmation from the others.
Three design choices set it apart:
1. Weighted multi-factor composite. Every factor is independently normalized to 0-100, then combined with user-adjustable weights that auto-normalize. A Strong reading therefore requires broad agreement across independent trend dimensions, not just one signal firing.
2. Dominant Factor readout. The information panel shows which of the five factors is contributing most to the current score, so the trader understands why the score is where it is. A score of 84 driven by ADX and a score of 84 driven by Alignment are structurally different markets, and the readout makes that visible.
3. Historical context built in. The panel exposes Historical Max Score over a configurable lookback window, and Strong-Trend Duration (how many bars the score has held above the Strong threshold). Both of these help gauge trend maturity and exhaustion risk.
📊 METHODOLOGY
The composite score is built from five independently scored factors, each normalized to 0-100:
• Factor 1 — ADX. Directional movement strength from the standard DMI/ADX system, linearly mapped so that ADX = 60 maps to a score of 100.
• Factor 2 — Slope Angle. The slope of an EMA over its length window, normalized by ATR to be scale-invariant, then converted to a 0-100 score via an arctangent curve. High slope in either direction yields a high score.
• Factor 3 — Momentum ROC. Rate of Change normalized by ATR and converted to a bounded 0-100 value. Captures impulse magnitude independent of price scale.
• Factor 4 — MA Alignment. Stacked EMA alignment across Fast / Mid / Slow timeframes, plus price position relative to the fast MA. Full bullish or bearish stack yields 100; partial stacks are scored proportionally (70, 40, or 15).
• Factor 5 — Pullback Depth. Distance from the nearest recent extreme (highest high or lowest low over lookback) measured in ATR units. Shallow pullback = strong trend = high score.
Each factor is multiplied by its weight, summed, and divided by total weight to produce the final 0-100 score. All five weights are independently adjustable and auto-normalize, so changing one weight does not force manual rebalancing of the others.
Directional bias (Bull / Bear / Range) is determined by the combination of DMI crossover state and close-vs-mid-MA position. State color shifts between strong bull green, strong bear magenta, neutral yellow, and weak gray based on score plus direction.
🔥 VISUAL SYSTEM
Six coordinated visual elements deliver the information without clutter:
• Score histogram on the sub-panel, colored per bar by that bar's own score level (green for Strong, yellow for Mild, gray for Weak / Range). Each historical bar shows its true state at the time, not the current state.
• Horizontal reference lines at the Strong (green) and Mild (yellow) thresholds on the sub-panel.
• Historical Max step line in indigo accent, showing the highest score reached within the lookback window, so past trend peaks are immediately visible.
• Mini Gauge on the right edge of the sub-panel. A compact vertical meter split into two halves: left half shows the fixed 0-100 zone reference (Weak / Mild / Strong), right half fills up to the current score, with a bold needle line marking the exact level.
• Price badge floating above the last candle, showing "TSM " so the reading is visible without needing to look at the panel.
• Information panel on the price chart with seven rows: Score, State, Direction, Dominant Factor, Historical Max, and Strong Bars duration.
🧭 SIGNALS AND ALERTS
Three built-in alerts:
• Strong Bull Entry — Score crosses above the Strong threshold while directional bias is Bull.
• Strong Bear Entry — Score crosses above the Strong threshold while directional bias is Bear.
• Trend Fade — Score drops below the Mild threshold, indicating the trend is weakening.
All alerts fire once per bar close, so there is no intra-bar repainting.
🧮 KEY INPUTS
Core Settings
• ADX Length, Slope MA Length, Momentum ROC Length, MA Alignment Fast / Mid / Slow, Pullback ATR Length
• Score Smoothing (EMA applied to score for optional overlay line)
• Strong Threshold (default 80), Mild Threshold (default 50), Historical Lookback (default 100 bars)
Factor Weights (auto-normalized)
• ADX 30, Slope 20, Momentum 20, Alignment 20, Pullback 10
Visual
• Badge toggle, Background tint toggle, Reference lines toggle, Mini Gauge toggle, Historical Max line toggle, Smoothed Score line toggle, Label size, Badge ATR offset
Panel
• Show / hide, Position (6 anchors), Theme (Dark / Light), Font size
📈 HOW TO USE
1. Add the indicator to any chart and any timeframe. Defaults are calibrated for 4H / Daily; for lower timeframes consider reducing the ADX and ROC lengths.
2. Use the 0-100 score as a regime filter. Many trend-following setups perform better when the score is above 50, and breakout / continuation setups perform best when the score is crossing above 80 with a clear Bull or Bear direction.
3. Watch the Dominant Factor. A score of 85 driven primarily by Momentum may fade fast; the same score driven by Alignment tends to be more structural.
4. Use Historical Max and Strong Bars to gauge maturity. A Strong-Bars reading of 30+ on a daily chart often signals late-cycle conditions where continuation risk increases and fresh entries need tighter risk management.
5. Combine with structure tools (support / resistance, order blocks, market-structure tools) for entries. This indicator is designed to answer "how strong is the trend," not "where do I enter."
⚠️ LIMITATIONS AND TRANSPARENCY
• This is an indicator, not a trading strategy. It does not produce buy / sell recommendations and it does not backtest trade outcomes.
• The score is a lagging composite built from historical price data. It does not predict future price movement.
• During sharp regime transitions (news events, gap opens), the score can change rapidly from one bar to the next. This is by design, not a bug.
• Factor weights are user-adjustable. Defaults are a reasonable starting point but may need tuning per instrument / timeframe.
• The Pullback factor assumes trending behavior. In tight consolidations it can read misleadingly high, which is why the Dominant Factor readout exists as a cross-check.
• No-repaint: all calculations are based on confirmed (closed) bar data; alerts fire on bar close only.
📌 RISK DISCLOSURE
Trading carries substantial risk. This indicator is an analytical tool for research and study purposes and does not constitute financial advice, a trading signal, or a recommendation to buy or sell any instrument. Past behavior of any indicator is not indicative of future results. Users are solely responsible for their trading decisions and should conduct their own due diligence and risk management.
Indicator
Key Levels Pro [AGPro Series]Key Levels Pro
🔑 Overview
Key Levels Pro is a comprehensive, non-repainting level tracker that consolidates every institutionally significant price reference into one clean overlay. Previous day, week, and month highs/lows (PDH, PDL, PWH, PWL, PMH, PML) are plotted alongside Asian, London, and New York session highs and lows. Every level is actively monitored — touch count, break count, and respect rate update in real time, giving you a live quality score for each price zone.
Most level scripts stop at drawing lines. Key Levels Pro goes further: lines automatically thicken on repeated touches, switch to dashed style when broken, and fade to muted color to signal invalidation. Zone rectangles extend back to the formation bar of each level, making historical respect visible at a glance. An ATR-aware label collision system keeps the chart readable on every timeframe, and same-price levels are intelligently deduplicated so you never see four overlapping labels at the same price.
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📐 Unique Edge
Unlike generic pivot or S/R scripts, Key Levels Pro tracks the behavioral quality of each level — not just its existence. A level that has been tested five times without breaking carries a different weight than a fresh, untested one. Key Levels Pro surfaces that difference automatically through line width, style, and panel data.
What makes it distinct:
🔹 Complete previous-period coverage (PDH/PDL, PWH/PWL, PMH/PML) in one overlay, without redundant current-period duplicates.
🔹 Live session tracking for Asian, London, and New York simultaneously, with automatic hiding on Daily and higher timeframes.
🔹 Per-level touch count, break count, and respect rate computed from actual historical price interaction.
🔹 Dynamic line thickening on repeated touches (width 1 → 2 → 3).
🔹 Auto-broken state with dashed style + muted color — no distracting flags or banners.
🔹 Historical zone boxes extending back to the formation bar of each level.
🔹 ATR-aware label collision resolution that stacks overlapping labels vertically.
🔹 Price-based deduplication: when two levels share the same price, the higher-priority one wins (Monthly > Weekly > Daily > Session).
🔹 ATR-normalized proximity to the nearest level above and below the current price.
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🔬 Methodology
Previous-period levels are pulled from the daily, weekly, and monthly timeframes using request.security() with lookahead enabled for the completed-period values. This approach is standard, transparent, and non-repainting — historical data does not change.
Session levels are tracked bar by bar using customizable session time inputs. Each session resets at its start time and tracks the running high and low until the session closes. The Asian, London, and New York sessions can each be configured independently.
Touch detection uses an ATR-based tolerance band (default 10% of ATR). When price closes within that tolerance of a level, the touch counter increments. A break is registered when price closes on the opposite side of a level compared to the prior bar. Respect rate is calculated as touches / (touches + breaks) × 100.
Line width scales with touch count: 1 touch = width 1, 2–4 touches = width 2, 5+ touches = width 3. Broken levels switch to dashed style and a muted color.
The label collision system operates in three stages: first, all enabled levels are collected into a sorted array; second, same-price levels are deduplicated based on priority (Monthly highest, Session lowest); third, an upward sweep enforces minimum vertical spacing using a blend of ATR and chart-range heuristics, ensuring labels never overlap regardless of market volatility.
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📊 Signals & States
This script is a visualization and data tool — it does not generate buy or sell signals.
Level states are communicated visually:
🔹 Active (solid line, full color): level has not been broken.
🔹 Touched (thicker line, 2–3px): level has been tested one or more times.
🔹 Broken (dashed line, muted slate color): level has been decisively closed through.
Info panel states:
🔹 Session: active market session (Asian / London / New York / Off-Hours / N/A on Daily+).
🔹 Near Above / Near Below: price of the closest active level on each side of the current close.
🔹 Dist Above / Below ATR: distance expressed as a multiple of ATR(14).
🔹 Touch and respect rate data for PDH, PDL, PWH, PWL.
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⚙️ Key Inputs
Level Groups: Toggle previous day, week, month, and session levels independently.
Session Times: Fully customizable start/end times for Asian, London, and New York sessions in exchange timezone.
Zone Style: Enable/disable S/R zones and adjust zone transparency.
Lines & Labels: Set line extension length, toggle labels, choose label density (All / Reduced / Minimal), set font size, and enable or disable same-price deduplication.
Info Panel: Toggle panel, set location (six positions), and choose theme (Dark / Light).
ATR Settings: Set ATR period and touch tolerance as an ATR multiple (0.02 to 0.50).
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📖 How to Use
1. Add the script to a chart — all major levels appear immediately.
2. Adjust session times if trading non-crypto markets.
3. Watch line thickness: thicker = more tested = stronger historical reaction zone.
4. Dashed + muted color = broken. Treat broken levels as potential new S/R from the opposite side (role reversal).
5. Use the panel's Near Above and Near Below fields to gauge proximity before entry or exit decisions.
6. Use "Reduced" density (default) for cleaner charts, or switch to "All" when you need session context.
7. Works on all asset classes: crypto, forex, equities, indices, commodities.
Recommended timeframes: 15m–4H for session levels; 1H–1D for previous-period levels.
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⚠️ Limitations & Transparency
🔹 Session tracking is session-relative and resets each new session.
🔹 Touch tolerance is an ATR-based heuristic and may need adjustment on extremely low-volatility instruments.
🔹 All data is historical. Touch count and respect rate describe past price behavior, not future outcomes.
🔹 This script is not a trading strategy, does not issue trade signals, and cannot predict market direction.
🔹 On exotic or illiquid instruments with large gaps, formation-bar zone boxes may appear truncated if the level formed outside the chart's visible range.
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🛡️ Risk Disclosure
This script is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All trading involves risk. Past level behavior does not guarantee future results. Always use proper risk management and test any approach in a demo environment before committing real capital. Indicator
Trend Quality [AGPro Series]Trend Quality
Trend Quality fuses three independent regime dimensions — ADX directional strength, Kaufman Efficiency Ratio, and ATR-normalized EMA slope — into a single 0–100 composite Trend Quality Score. A hysteresis + confirmation + cooldown gate turns that score into a stable TREND / CHOP regime, enhanced with HTF confirmation, lifecycle phases, score velocity, breakout grading, directional dominance, and a full adaptive on-chart quality window. The goal is simple: replace noisy "is this a trend?" guessing with a transparent, multi-dimensional, low-lag quality reading you can read in one glance.
🎯 OVERVIEW
Most trend filters fail at the same thing — they tell you a trend exists, but not whether that trend is clean, accelerating, fading, or already exhausted. Trend Quality answers the harder question. Every bar is scored on three independent dimensions that each measure a different physical property of price movement:
• ADX — directional strength (how strongly one side dominates)
• Kaufman Efficiency Ratio (ER) — path efficiency (how little wasted motion)
• ATR-normalized EMA slope — normalized trend velocity (how fast, relative to volatility)
These three signals are combined into one 0–100 Trend Quality Score. A hysteresis band + confirmation bars + cooldown filter convert that score into a stable TREND / CHOP regime — no single-bar flipping, no false recovery wicks. On top of the core regime, the indicator layers Score Velocity, Lifecycle phases (Emerging → Confirmed → Exhausting), Breakout Quality grading (A / B / C), directional dominance, and a visual Quality Window that tracks the active trend zone and projects it forward.
💎 UNIQUE EDGE
What separates Trend Quality from a standard ADX filter, an EMA slope indicator, or a generic regime meter:
• Tri-factor fusion (not a single metric) — ADX alone misses path quality; ER alone misses direction; slope alone misses choppy-but-strong moves. Weighted fusion (45% ADX, 35% ER, 20% Slope) neutralizes each component's blind spot.
• Stable regime, not a flickering line — the TREND / CHOP state passes through a 3-layer filter: hysteresis band around the threshold, N confirmation bars, and a cooldown window after every transition. The result is a regime reading that holds through pullbacks without flipping.
• Score Velocity Engine — a second-derivative layer that watches how fast the score itself is changing. Surges flag momentum ignition; collapses flag quality breakdown before price confirms it. A bearish divergence detector fires when price makes new highs while quality is fading.
• Lifecycle phases — inside every TREND regime, the script distinguishes Emerging (young, fresh, accelerating), Confirmed (mature, stable, above buffer), and Exhausting (score rolling over from a peak). This lets you see whether you are entering early, running mid-trend, or catching the end.
• Breakout Quality Badge (A / B / C) — every CHOP → TREND transition receives a graded badge based on composite score plus velocity bonus. Grade A breakouts are rare and have an optional dedicated alert.
• HTF confirmation with Auto-HTF mapping — the same engine runs on a higher timeframe. When LTF is trending but HTF is not, the regime is marked BLOCKED (not forced to CHOP) so you retain full transparency about why the regime is gated.
• Adaptive Quality Window — a live rectangular zone that tracks the full trend's high/low from its start bar, projects forward, shows ceiling/floor projection labels, and preserves historical windows with directional color coding (green for up-trends, pink for down-trends, amber for HTF-blocked trends).
🧪 METHODOLOGY
Core composite score (every bar, LTF):
Score = 100 × (0.45 × ADX_norm + 0.35 × ER_norm + 0.20 × Slope_norm)
• ADX_norm = min(ADX / 50, 1)
• ER_norm = |close − close | / (SMA(|Δclose|, N) × N)
• Slope_norm = min(|EMA − EMA | / ATR × 10, 1)
Regime gating:
• Hysteresis: +3 above threshold to enter TREND, −3 below to enter CHOP
• Confirmation: N consecutive bars above/below the hysteresis band
• Cooldown: N bars after every regime flip where no new flip is allowed
MTF confirmation (optional, default ON):
The same core function is called via request.security on the HTF (Auto: 30m→4H, 4H→Daily, Daily→Weekly, Weekly→Monthly in Strict mode). When LTF=TREND but HTF=CHOP, the regime is tagged BLOCKED — a transparent third state that is neither forced-CHOP nor accepted-TREND.
Lifecycle logic:
• Emerging: TREND is young (bars since start ≤ Emerging Bars) OR score slope ≥ 0 and score below buffer
• Confirmed: score ≥ threshold + Confirmed Buffer AND HTF passes (optional)
• Exhausting: score slope < 0 AND pullback from peak ≥ Exhaustion Pullback
Score velocity:
velocity = score − score (default 5-bar look-back)
Breakout quality grading:
bqScore = score + velocity_bonus (bonus: +15 if vel>15, +7 if vel>5, else 0)
A ≥ 82, B ≥ 67, C < 67
🔔 SIGNALS & ALERTS
The script exposes 12 alert conditions — all moderator-safe, educational, non-solicitating:
• CHOP → TREND / TREND → CHOP regime flips with LTF+HTF context
• Strong Trend composite conviction threshold
• HTF Blocked / HTF Unblocked third-state transparency events
• Emerging / Confirmed / Exhausting Trend lifecycle phase changes
• Velocity Surge / Velocity Collapse second-derivative extremes
• Grade-A Breakout rare high-conviction breakouts
• Bearish Divergence price up, quality down warning
On-chart visual events (also filterable via inputs):
• Breakout Quality badge (A / B / C) at every CHOP → TREND
• Bearish divergence ⚠ marker at trend peaks where quality fades
• State tag near backbone: EMERGING / CONFIRMED / EXHAUSTING / HTF BLOCKED
• Quality Window label: ACTIVE + phase
• Projection labels on the right edge: QUALITY CEILING / TREND FLOOR
All badge and warning labels are gated with an 8-bar cooldown so the chart stays clean even on repeated intra-swing triggers.
⚙️ KEY INPUTS
Core engine:
• ADX Length (14) — directional strength look-back
• Efficiency Length (20) — ER path-efficiency window
• Slope EMA Length (50) — trend backbone reference
• ATR Length (14) — volatility normalization
• TREND Threshold (55) — composite score level to enter TREND
• Confirmation Bars (1) — bars of persistence before flipping
• Strong Trend Offset (15) — extra score above threshold for STRONG tag
MTF:
• HTF Confirmation (ON) — enable/disable HTF gate
• Auto HTF (ON, Strict) — smart HTF mapping per chart TF
• Manual HTF (240) — override timeframe
Stability:
• Change Cooldown Bars (2) — lock-out window after any regime flip
Lifecycle:
• Emerging Phase Bars (4) — max trend age to stay Emerging
• Confirmed Buffer (8.0) — score must clear threshold+buffer
• Exhaustion Pullback (4.0) — peak-to-current drop to flag Exhausting
Visual Overlay:
• Backbone + Glow + Zone + State Candles + Quality Window + Historical Windows + Projection Box + Guides + Midline (all toggleable)
Panel, Theme, Layout, Help rows, Alerts, Score Velocity Engine, Breakout Quality Badge, Divergence Detector — every layer has its own input group and can be shown/hidden independently.
📘 HOW TO USE
Read-in-one-glance panel (standard AGPro format):
• Blue header row: script title
• Line 2: REGIME / LIFECYCLE · Score N/100 · Velocity state
• Line 3: LTF regime · Direction · Directional Dominance
• Line 4: HTF regime · MTF PASS/BLOCKED · Active Window state · Streak
Quick playbook:
1. CHOP on LTF → wait. No setup, no commitment.
2. CHOP → TREND transition with Grade A badge + HTF PASS → highest-conviction regime start.
3. CONFIRMED phase with DOM HIGH and rising score → the middle of the trend, usually the cleanest section.
4. Velocity COLLAPSE or EXHAUSTING phase with bearish divergence ⚠ → quality is deteriorating; reduce exposure or tighten stops.
5. HTF BLOCKED amber window → LTF trend exists but higher timeframe disagrees; treat as lower-conviction and be aware of mean-reversion risk.
The indicator does NOT issue buy/sell signals, does NOT define entry/exit prices, and is NOT a strategy. It is a regime-quality reading — a context layer you pair with your own trade management.
⚠️ LIMITATIONS & TRANSPARENCY
• Trend-quality indicators are inherently trend-following. In low-volatility ranges the score can stay above threshold on minor moves; in very fast markets the score can lag by 1–3 bars while the filters stabilize.
• HTF confirmation introduces a natural HTF delay. This is intentional (it removes noise) but means the HTF gate may lift several LTF bars after price has already moved.
• All composite signals rely on look-backs (ADX 14, ER 20, Slope EMA 50, ATR 14). On very short intraday timeframes with low bar counts these need calibration.
• Lifecycle phases are structural readings, not predictions. EXHAUSTING means the score is rolling over — not that price must reverse.
• Past performance of any visual regime does not imply future performance. Charts showing clean historical windows are illustrative of the indicator's logic, not trading results.
• No repainting on historical bars. The HTF call uses lookahead_off and barmerge.gaps_off. Score and regime values on closed bars are final.
🛡️ RISK DISCLOSURE
This script is published as an educational and analytical tool. It does not provide financial advice, does not generate trade signals of any kind, and must not be used as a standalone decision system. Markets involve substantial risk of loss. Past behavior of any market regime, indicator output, or historical visual window is no guarantee of future results. Always combine any indicator with independent risk management, position sizing, a tested plan, and — where appropriate — the guidance of a licensed professional. You are solely responsible for any trading decisions you make. Indicator
Auto Trendlines MTF - Break/Retest [AGPro Series]Auto Trendlines MTF - Break/Retest
🔹 OVERVIEW
Auto Trendlines MTF - Break/Retest is a multi-timeframe trendline visualization engine that automatically detects and draws the most structurally significant trendlines across three complementary scales: Micro (current timeframe), Meso (intermediate pivots), and Mega (HTF weekly/monthly overlay). Instead of relying on a single pivot scan, the engine builds a ranked candidate pool from each scale and selects the lines that best represent the active market structure around current price.
The script is designed as a pure analytical visualization tool — it does not generate trading decisions, forecasts, or directional recommendations. Its purpose is to give the chart a clean, hand-drawn-quality trendline layer that updates automatically as new pivots form.
🎯 UNIQUE EDGE
Most auto-trendline tools scan one timeframe and draw whatever fits. This engine operates differently in four specific ways:
• Three-scale MTF engine. Micro pivots on the current TF, Meso pivots with wider sensitivity, and Mega trendlines derived from Weekly/Monthly HTF pivots are computed independently and rendered together with a visual hierarchy (Mega dominant, Meso intermediate, Micro active).
• Log-space geometry. All trendline math runs in log-price space, so long-dated diagonals on volatile assets (crypto, growth stocks) do not distort visually when the chart is viewed in logarithmic mode.
• Touch-weighted ranking with violation penalty. Each candidate line is scored by touch count, line age, slope sanity, price proximity, and intra-line violations. Weak geometry, over-sloped lines, and frequently violated lines are demoted automatically.
• Q quality score (0–100) and confluence tags (x2/x3). Every drawn line carries a Q score that blends touches, freshness, geometry, relevance, and violations into a single number. Confluence tags surface when a Micro line and a Meso line sit within the same ATR band near price, highlighting multi-scale structure overlap.
🧠 METHODOLOGY
1. Pivot detection. Separate pivot streams are maintained for Micro (tight sensitivity), Meso (wider sensitivity), and Mega (HTF pivots via request.security).
2. Candidate generation. For each scale, the engine pairs anchor pivots with subsequent pivots to form line candidates, discards over-sloped ones, and computes touches, violations, and break status in log space.
3. Ranking. Candidates are scored by a weighted combination of touch count, time span, slope sanity, relevance to current price (distance in ATR), and violation count. The best non-duplicate lines are kept per scale.
4. Clutter guards. A minimum ATR separation rule prevents near-duplicate lines from stacking. Smart Focus hides far-from-price lines in Minimal/Balanced density modes to keep the chart readable.
5. Stability mode. In Locked mode, selected lines persist bar-to-bar and are only replaced when they break or fall out of the candidate pool — reducing visual repainting on lower TFs.
6. Break/Retest detection. Once a line is drawn, the engine tracks close-based breaks (with configurable tolerance) and subsequent retests within a time window, emitting labeled signals on TF ≤ 1D.
⚙️ SIGNALS & ALERTS
Break and retest events are plotted for each scale with short ASCII tags:
• µR / µS = Micro Resistance / Support break
• mR / mS = Meso Resistance / Support break
• MR / MS = Mega Resistance / Support break
• rµ / rm / rM = retest on Micro / Meso / Mega respectively
A dedicated alertcondition is exposed for every break and retest event, plus two aggregate alerts (Any BR, Any RT) for users who prefer a single alert stream. A Min Q filter lets the user suppress low-quality signals.
🛠️ KEY INPUTS
• Profile Mode. Auto by Timeframe or Manual (Clean Trader, Balanced, Analyst, Presentation, Custom).
• Density Override. Minimal, Balanced, or Bold visual density.
• Line Weight Override. UltraThin, Thin, or Normal.
• Labels / Signals / Stability / Broken-line behavior. All individually overridable.
• Mega Overlay. Full (lines + cloud + label), Lines Only, or Off.
• Advanced panels. Micro Engine, Meso Engine, Mega Engine, Ranking, Visuals, and Signals each expose their own fine-tuning controls for experienced users.
• HUD. Position, theme (Classic Gray, Premium Accent, Color Coded, Showcase), and text size.
📘 HOW TO USE
• Add the script to any liquid symbol and start on a 1H or 4H chart.
• Leave Profile Mode on "Auto by Timeframe" for a balanced default that adapts to the active TF.
• Read the HUD in the top-right corner to see the active profile, how many Micro/Meso lines are drawn, whether Mega is active, and current Q scores.
• When a line carries a Q score above ~65 and a Conf tag (x2 or x3) appears nearby, that zone is a multi-scale structural pocket — use it as a planning reference, not as a trade trigger on its own.
• Use the Break/Retest tags for situational awareness around drawn lines; combine with your own confirmation logic before acting.
⚠️ LIMITATIONS & TRANSPARENCY
• Lines are drawn from historical pivots and can only confirm after a pivot is established. The engine avoids repainting in Locked mode but cannot predict future pivots.
• Q scores and confluence tags describe structural quality, not directional probability. A high-Q line can still break.
• Mega lines depend on HTF pivot availability; on very young symbols or thin charts, Mega may fall back to a Macro-pivot source or remain hidden.
• The script is published as Public, Open Source so that every ranking rule, weight, and threshold is fully auditable in the source code.
🛡️ RISK DISCLOSURE
This script is a visualization and analysis tool only. It is not financial advice, not a trading strategy, and not a signal service. No performance claims are made or implied. Past structural behavior of trendlines does not guarantee future behavior. All trading decisions, risk sizing, and execution remain the sole responsibility of the user. Indicator
Cross-Timeframe Value Overlay [AGPro Series]Cross-Timeframe Value Overlay
🔷 Overview
Cross-Timeframe Value Overlay projects up to three independent rolling value
bands — one per selected higher timeframe — onto a single chart. Each band
marks the region where price has been accepted on that timeframe over a
configurable lookback window, built from a volume-weighted or mean-based
anchor surrounded by an ATR envelope. A built-in state engine then classifies
the relationship between bands in real time as ALIGNED, OVERLAP, CONFLICT or
NEUTRAL, so multi-timeframe context becomes readable in a single glance.
🔷 What Makes This Different
Most multi-timeframe scripts stack indicators or draw fixed HTF pivots. This
tool builds a *rolling* value envelope on each timeframe and then compares
them structurally rather than numerically.
• Three independent MTF value bands on one chart, each with its own lookback
context and ATR-sized width.
• Dedicated state engine with four discrete regimes — ALIGNED / OVERLAP /
CONFLICT / NEUTRAL — based on pairwise band geometry, not on raw price.
• Dynamic z-order rendering that automatically draws the slowest timeframe
behind faster ones, and an opacity hierarchy that keeps the slowest band
lightest and the fastest band darkest. Larger structures frame smaller
ones instead of obscuring them.
• Rank-based label placement that prevents collisions when bands overlap in
price, so labels remain readable even during OVERLAP or ALIGNED states.
• Box width adaptively capped so a Daily band cannot swallow a 1H chart.
• Dominant-TF tracking that always reports the highest enabled timeframe and
the price position relative to its band.
🔷 Methodology
For each enabled timeframe the script computes:
• Anchor = VWAP (volume-weighted HLC3) over the rolling window, or HLC3 SMA
when volume data is unreliable.
• Half = ATR(window) multiplied by the configured band-width factor.
• Band = .
Values are requested with lookahead disabled, so historical band positions
reflect only data that was available at the time.
The state engine then evaluates:
• Pairwise overlap — do any two bands share a price region?
• Alignment — are all enabled band centers clustered within a strictness
threshold (Loose 1.2 ATR / Standard 0.8 ATR / Strict 0.4 ATR) of their
mean?
• Disjoint count — how many pairs are fully separated?
These three checks map deterministically to one of four states on every bar.
🔷 Signals and Alerts
Three built-in alert conditions cover the most useful MTF transitions:
• Value Overlap Detected — a new pairwise overlap forms between any two
enabled timeframes.
• Higher-Timeframe Value Lost — price leaves the dominant HTF value band
after being inside it on the previous bar.
• Cross-Timeframe Conflict — the state engine transitions into CONFLICT,
indicating that at least one enabled pair of bands has become fully
disjoint.
All alerts are wired as alertcondition() entries so they can be combined
with the standard PulseWire alert workflow.
🔷 Key Inputs
• Timeframes — enable/disable up to three HTFs and pick any resolution for
each (defaults 1H / 4H / Daily).
• Rolling Window — 10 to 500 bars for the anchor and ATR.
• Band Width — 0.25 to 3.0 ATR half-width.
• Anchor Method — VWAP + ATR or HLC3 MA + ATR.
• Alignment Strictness — Loose, Standard or Strict threshold for the state
engine.
• Show Only Overlapping Bands — hides isolated bands to keep confluence
zones visible.
• Visuals — per-TF color, base opacity, right-edge label toggle, label font
size.
• Panel — position, font size and master visibility switch.
🔷 How to Use
• Read the state first. ALIGNED = all enabled timeframes agree on a common
value region; OVERLAP = partial confluence; CONFLICT = disjoint
timeframes; NEUTRAL = fewer than two active bands or indeterminate.
• Read the Dominant row to see which timeframe currently carries the most
structural weight.
• Read the per-TF rows to locate price as Above / Inside / Below each band.
• Combine the three in a single pass: for example, price Above a dominant
HTF band while the state is CONFLICT is a very different context from
price Inside an ALIGNED stack.
• Pair with your existing entry framework (breakout, mean-reversion, order
flow, trend-following) — this tool is a context layer, not an entry
signal generator.
🔷 Limitations and Transparency
• Box-based rendering is capped at three concurrent bands by design to keep
the chart readable.
• All values are computed with lookahead disabled. Bands update when the
corresponding HTF bar closes, which is the expected behavior for any MTF
tool.
• Volume-weighted anchoring depends on the quality of the instrument's
volume feed; on markets with unreliable volume, switch to the HLC3 MA
method.
• This script is an analytical overlay. It is not a strategy, does not
produce buy/sell signals, and makes no forecasting claim.
🔷 Risk Disclosure
Trading involves substantial risk. This indicator is provided for research
and educational purposes only and does not constitute financial advice.
Past market behavior does not guarantee future results. Always perform your
own due diligence and use proper risk management.
Open-source under Mozilla Public License 2.0. Indicator
Setup Quality Scorecard [AGPro Series]Setup Quality Scorecard
Setup Quality Scorecard grades every bar on a transparent 0-100 scale across ten independent confluence dimensions. Instead of another signal generator, it is a quality filter: it tells you how strong the current setup is, which factors are firing, and how often similar past setups have followed through. Works on any symbol, any timeframe.
🔹 OVERVIEW
Every trader has the same question before pulling the trigger: "Is this setup actually good, or am I forcing it?" Setup Quality Scorecard answers that question with a single auditable number. The composite score blends ten orthogonal factors — trend, momentum, volume, volatility, structure, S/R proximity, divergence, candle quality, session context, and higher-timeframe alignment — into a weighted 0-100 quality rating. Bars scoring above the A-Tier threshold are marked with support/resistance-style zones on the chart, so high-quality setup regions stay visible even as the market moves on.
🔹 UNIQUE EDGE
Most quality indicators hide their internals behind a black-box algorithm. This one is fully transparent. Every factor exposes its own 0-10 score in the panel, every factor weight is user-adjustable, and every historical signal is evaluated against a forward-looking hit-rate test. There are no secret filters, no proprietary confidence bands, and no cherry-picked backtest. If a setup scores 87, you can see exactly which factors contributed and which did not.
🔹 METHODOLOGY
Each of the ten factors is computed independently on the current bar and normalized to a 0-10 scale:
1. Trend Alignment — EMA 20/50/200 stack plus slope confirmation
2. Momentum — RSI zone position combined with 3-bar RSI delta
3. Volume Context — relative volume versus 20-period SMA, calibrated for real-world distribution
4. Volatility Regime — ATR percentile over the last 100 bars, favoring mid-range regimes
5. Structure — HH/HL or LH/LL confirmation via recent pivots
6. S/R Proximity — ATR-normalized distance to the nearest pivot level
7. Divergence — price-versus-RSI regular divergence captured at pivot time
8. Candle Quality — body-to-range ratio and wick balance
9. Session Context — active trading session weighting (London/NY overlap prioritized)
10. HTF Agreement — graduated higher-timeframe alignment scoring (full stack, partial stack, opposed regimes)
The ten factor scores are weighted by user-adjustable coefficients, summed, and normalized to produce the final 0-100 composite. Tier labels (S / A / B / C / D) are assigned against user-configurable thresholds.
🔹 SIGNALS AND ALERTS
When a bar crosses into A-Tier or higher, a zone is drawn using support/resistance-style geometry (body plus a small ATR cushion). Zones merge automatically when adjacent qualifying setups share the same directional bias, preventing chart clutter. Each zone is labeled with its tier and score in compact A·83 format, with a dotted leader line connecting the label to the zone edge.
Four built-in alert conditions are exposed:
- S-Tier Setup Detected (score crosses the S-Tier threshold)
- A-Tier Setup Detected (score crosses the A-Tier threshold)
- New Bullish Quality Setup (first A-tier bullish bar in a run)
- New Bearish Quality Setup (first A-tier bearish bar in a run)
🔹 KEY INPUTS
- General: Higher timeframe reference, rolling history window, forward evaluation bars
- Thresholds: S / A / B / C tier cutoffs, fully adjustable
- Factor Weights: ten independent sliders, 0.0 to 2.0, tune the scorer to your style
- Zones: adaptive extend (auto or manual), merge window, max height cap in ATR units, maximum age
- Labels: on-chart label mode (A-Tier only, S-Tier only, off), size presets
- Panel: position, size, factor breakdown toggle
🔹 HOW TO USE
Start with defaults and observe for a full session on your chart. Trend traders should raise the Trend and HTF Align weights. Reversal traders should raise Divergence, Structure, and S/R Proximity. Use the Active count in the panel as a quick filter: fewer than three factors above seven generally means a weak setup regardless of composite score. Use the hit-rate number to sanity-check whether your current configuration is performing on this asset and timeframe — if it is below 50 percent on a large sample, revisit your weight assignments.
🔹 LIMITATIONS AND TRANSPARENCY
The hit-rate metric is backward-looking. It measures how often past A-tier signals produced a one-ATR directional move within the next N bars. It is not a forecast of future performance. A hit rate with fewer than twenty signals is flagged with an info marker because the sample size is not yet statistically meaningful. Factor definitions are static — they do not adapt to regime changes automatically. Session weighting assumes standard crypto and equity session times in UTC; adjust if you are trading exotic hours. The script uses pivot-based structure, which lags by the pivot length on the right edge of the chart (a standard trade-off for noise suppression).
🔹 RISK DISCLOSURE
This indicator is an analytical tool, not financial advice. It does not predict future price movements. A high quality score does not guarantee a winning trade. Past performance of any displayed signal does not indicate future results. Always use proper risk management and position sizing. Never trade with capital you cannot afford to lose. Indicator
MTF Trend Agreement Map [AGPro Series]MTF Trend Agreement Map
🔹 **Overview**
MTF Trend Agreement Map is a multi-timeframe alignment engine that reads the trend across five timeframes at once and distills the result into a single transparent agreement score. Instead of forcing you to flip between charts, the map tells you, on every bar, how many timeframes agree, which side wins, and whether the market is in a locked regime, a forming trend, or a conflict phase. It is built for swing traders, HTF-bias scalpers, position traders, and anyone who uses top-down analysis as part of their process.
🔸 **What Makes It Different**
Most MTF indicators show a single method (usually a moving-average cross) repeated across timeframes, which means five rows that all agree with each other by construction. This map does something different: for each timeframe it runs three independent methods — an EMA regime filter, a pivot-based market-structure read (HH/HL vs LH/LL), and a normalized momentum slope — and blends their individual votes into the final score. You see not only the agreement across timeframes but also the agreement across methods, which exposes weak or borderline regimes that a single-method tool would quietly hide.
🔺 **Methodology**
• EMA Trend: a timeframe is bullish when EMA50 is above EMA200 and price is above EMA50; bearish on the mirror condition; neutral otherwise.
• Market Structure: confirmed pivots are tracked in real time. A timeframe is bullish while the last two confirmed swings form higher highs and higher lows, bearish on lower highs and lower lows.
• Momentum Slope: the change in linear regression across a configurable lookback, normalized by ATR so that fast and slow assets are comparable.
• Consensus per timeframe: each active method casts a vote; bulls minus bears determines the row's net direction and strength.
• Overall alignment: bull and bear votes are summed across all active timeframes; the dominant side's share defines the agreement percentage.
◆ **Three-State Regime Engine**
• **LOCKED** — agreement above the strong threshold (default 80%). High-conviction regime, continuation-friendly, background tint activates.
• **TRENDING** — agreement between 50% and the strong threshold. Directional bias forming but not yet fully aligned. Trade with reduced size or wait for confirmation.
• **SPLIT** — agreement below 50%. Timeframes are in conflict, no majority side. Classic chop phase, favors mean-reversion strategies or standing aside.
🔔 **Signals & Alerts**
• Regime Lock (Bull or Bear): fires the first bar agreement crosses above the strong threshold while one side dominates. Designed as a continuation trigger, not a reversal signal.
• Chop / Conflict: fires when no side holds the majority, a classic filter for mean-reversion systems or a stand-aside cue for trend traders.
• Both generic and directional alertcondition() hooks are exposed so you can wire the map into automations.
⚙️ **Key Inputs**
• Core Engine: toggle any of the three methods on or off, and tune the pivot length and momentum lookback independently.
• Timeframes: four user-selected timeframes plus an optional Current row that auto-adapts to the chart TF. If the chart TF matches any selected TF, the Current row is hidden automatically to avoid double-counting.
• Panel: six location presets, four text sizes (default Normal), dark or light theme, optional per-method breakdown row.
• Background Tint: enable or disable, set the strong-alignment threshold (50–95%) and control transparency (70–99) to keep the chart premium.
📖 **How to Use**
• Top-down confirmation: take trades on your execution timeframe only when the higher rows in the map agree with your thesis.
• Regime filter: enable Regime Lock alerts to catch moments when the full map snaps into alignment — these are typical continuation windows.
• Conflict filter: when the map prints SPLIT, widen stops, reduce size, or step aside; trend strategies historically underperform during these phases.
• Method debugging: turn on the per-method breakdown to see which methods are driving the score and which are fighting it.
⚠️ **Limitations & Transparency**
• All timeframe values are non-repainting at bar close (lookahead is disabled), but intrabar values can update until the parent bar closes — this is expected MTF behavior.
• Market Structure requires enough history on each timeframe to confirm two swings; on very young assets or short charts the structure vote may be neutral until pivots print.
• The map is a context tool, not a standalone entry system — combine it with your own execution logic, risk management, and bias.
📌 **Risk Disclosure**
This script is provided for educational and analytical purposes only. It does not constitute financial advice, a recommendation, or a solicitation to trade any instrument. Markets involve substantial risk and past behavior does not guarantee future results. Always do your own research and manage risk responsibly. Indicator
Multi-Oscillator Consensus Engine [AGPro Series]Multi-Oscillator Consensus Engine
🔹 Overview
Multi-Oscillator Consensus Engine aggregates ten independent momentum
oscillators into a single regime classifier with overlay Consensus Zones,
flip event labels, and agreement persistence tracking. Instead of watching
ten charts separately, traders see one unified answer: are the oscillators
in agreement, and what is the consensus saying right now?
The script monitors RSI, Stochastic, CCI, MFI, Williams %R, ROC, Ultimate
Oscillator, MACD, DMI balance, and Aroon balance. Each oscillator is
normalized to a 0–100 scale and votes bullish, bearish, or neutral against
configurable thresholds. The aggregated vote determines the market regime
and drives everything else on the chart.
🔹 Unique Edge
Most multi-oscillator tools stop at a dashboard or a simple agreement
percentage. This engine goes further:
- Regime Classification — four distinct states (Consensus Bull, Consensus
Bear, Divergent, Transition) instead of a binary signal.
- Consensus Zones — a horizontal price zone is born at every regime flip
and stays alive while the regime holds. When the regime ends, the zone
becomes historical structure.
- Flip Event Labels — regime transitions are marked directly on price
with merged flip + extreme agreement tags.
- Persistence Tracking — streak bars, last flip distance, and historical
extreme rate tell you how trustworthy the current consensus is.
- Label Discipline — cooldown, horizontal stagger, and flip+extreme merge
logic keep the chart readable even in choppy regimes.
🔹 Methodology
Step 1. Ten oscillators are computed with their classic defaults and
normalized to a 0–100 range. Indicators with native 0–100 output (RSI,
Stochastic, MFI, Ultimate) pass through directly. Others (CCI, ROC, MACD
histogram) are rescaled against their own recent range. Williams %R is
flipped from its native -100..0 scale.
Step 2. Each normalized oscillator casts a vote. Values above the bullish
threshold vote +1, values below the bearish threshold vote -1, everything
else is neutral. Vote counts and agreement percentage are computed bar by bar.
Step 3. Regime is assigned from the vote distribution. Seven or more votes
in one direction triggers Consensus Bull or Consensus Bear. A tight spread
(bull-bear difference ≤ 2) triggers Divergent. Everything else is a
Transition state.
Step 4. On every bull↔bear regime entry, a new Consensus Zone is born at
the current close ± a configurable ATR multiple. The zone extends forward
while the regime is active and locks in place when the regime ends. A
maximum of five active zones keeps the chart clean.
Step 5. Labels are rendered only when cooldown and merge rules allow.
Extreme agreement events (80%+ by default) are either merged into the flip
label or drawn separately with larger offset.
🔹 Signals & Alerts
Seven alert conditions ship with the script:
- Consensus Bull Entry — regime has just entered Consensus Bull
- Consensus Bear Entry — regime has just entered Consensus Bear
- Consensus Bull Flip — direct Bear → Bull transition
- Consensus Bear Flip — direct Bull → Bear transition
- Extreme Bullish Agreement — agreement crosses the extreme threshold up
- Extreme Bearish Agreement — same, on the bearish side
- Consensus Streak 20+ — current regime has held for twenty bars
🔹 Key Inputs
- Oscillator Periods — individual length settings for all ten oscillators
- Bullish / Bearish Thresholds — the normalized levels that define a vote
- Consensus Threshold — how many oscillators must agree for a regime (default 7/10)
- Extreme Agreement — agreement percentage for extreme events (default 80%)
- Consensus Zones — show/hide, ATR length and multiplier, max active count,
closed zone trail
- Label Cooldown — minimum bars between flip labels, prevents clutter
- Merge Flip + Extreme — combine same-bar events into one label
- Panel — six location options, Dark/Light theme, font sizes
🔹 How to Use
Trend traders: wait for a Consensus Bull or Consensus Bear regime to
establish (streak > 5 bars), then use pullbacks into the active Consensus
Zone as entries in the regime direction. Exit on opposite regime flip.
Reversion traders: Extreme Agreement events mark moments where all
oscillators are stretched in the same direction. These are classic mean
reversion setups. Wait for a regime flip against the extreme, confirmed on
the next bar.
Regime filter: overlay the panel on any chart and use the Regime and
Agreement readings as a binary filter for your primary system. Only take
longs when regime is Bull, only take shorts when regime is Bear.
Works on all timeframes from 1m to 1W. Higher timeframes produce fewer
but higher-conviction signals.
🔹 Limitations & Transparency
- The oscillator votes use normalized thresholds. On extremely narrow
ranges, the normalization may produce unstable votes. Raising the
Bullish/Bearish Thresholds reduces this sensitivity.
- Consensus Zones are drawn from close price at the flip bar. Large wick
bars may place the zone slightly away from the visual pivot.
- The script is not a standalone trading system. It is a confluence and
regime tool to combine with your own structure, volume, or price action
analysis.
- All signals repaint only within the current forming bar. Once a bar
closes and barstate.isconfirmed is true, flip labels and zones are final.
🔹 Risk Disclosure
This indicator is provided for educational and analytical purposes only.
It is not financial advice. Trading involves substantial risk. Past
behavior of regime transitions does not guarantee future performance.
Always use proper risk management and never risk more than you can afford
to lose. Indicator
Divergence Stack Scanner [AGPro Series]Divergence Stack Scanner
🔹 Overview
Divergence Stack Scanner scans five independent momentum and volume oscillators simultaneously — RSI, MACD Histogram, CCI, MFI, and OBV — and grades every confirmed pivot by how many of them show regular divergence at the same time. The result is a 0 to 5 STACK score that isolates rare, high-conviction reversal zones which single-divergence tools simply cannot surface.
Most divergence indicators track one oscillator at a time. Strong reversals, however, tend to leave fingerprints across momentum and volume at once. This tool quantifies that confluence in a single, objective number you can act on.
🔸 Unique Edge
What separates this script from the crowded divergence space:
1. Five-oscillator confluence in one engine — not one divergence, five divergences graded together.
2. Strict versus Window classification — a 5/5 STRICT stack (all five on the exact same pivot) is marked with a star flash, while a 5/5 WINDOW stack (all five within a small bar tolerance) is tagged separately. The distinction matters because strict stacks are statistically rarer and sharper.
3. Pressure Zones — a rectangular, SR-style zone is drawn forward from each qualifying pivot, so the reversal level stays visible long after the signal fires.
4. Rolling win-rate panel — the last N decided signals are evaluated N bars forward, and the win percentage is displayed live on the panel.
5. Per-oscillator live state — you see at a glance which oscillators are already in divergence and how long ago they triggered.
🔹 Methodology
Pivots are detected using the standard PulseWire pivot method with a configurable lookback (default 5 bars each side, confirmed, non-repainting).
When a pivot is confirmed, the script compares the current pivot price and oscillator value to the previous same-direction pivot:
- Regular bullish divergence: price prints a lower low while the oscillator prints a higher low.
- Regular bearish divergence: price prints a higher high while the oscillator prints a lower high.
This comparison runs independently for RSI, MACD Histogram, CCI, MFI, and OBV. Each oscillator stores the bar index of its most recent divergence. The stack engine then counts how many oscillators have fired within a tolerance window of the current pivot:
- Strict stack (window = 0): all counted oscillators fired on the exact same pivot bar.
- Window stack (window = 1 to N bars): oscillators fired within N bars of each other.
Pressure zones are drawn only when the stack meets a configurable minimum (default 4/5). Zone height is ATR-scaled so it stays proportional across instruments and timeframes. A proximity filter prevents label clutter: once a label is drawn in a given direction, a new label in the same direction within a short window is only drawn if its stack level is strictly higher.
🔸 Signals & Alerts
On-chart signals:
- ★ N/5 STACK label (filled color) — strict same-bar stack at level N.
- N/5 NEAR label (lighter color) — window stack (near-miss of strict).
- Pressure zone rectangle — drawn forward from the pivot for qualifying stacks.
Alerts available:
- 5/5 Strict Stack (bull and bear, separate) — the rarest and sharpest signal.
- Minimum Stack threshold — fires whenever the stack reaches your configured minimum level.
All alerts use alert.freq_once_per_bar_close and include ticker plus timeframe in the message.
🔹 Key Inputs
Core Engine:
- Pivot Lookback — bars each side to confirm a pivot (default 5).
- RSI, MACD, CCI, MFI lengths — standard defaults, all configurable.
Stack Configuration:
- Minimum Stack Level — display threshold (default 3/5).
- Window Tolerance — bar tolerance for near-stacks (default 3).
- Win-Rate Lookback — number of recent signals used for rolling win rate (default 20).
- Win Evaluation Bars — forward bars to decide win or loss (default 10).
Pressure Zones:
- Minimum Stack for Zone (default 4/5) — keeps the chart premium and uncluttered.
- Zone Extend and Height (ATR%) — tune the visual footprint to your taste.
- Max Active Zones — oldest zones are automatically trimmed.
Panel and Theme:
- Location (6 anchors), Dark or Light theme, font size presets.
- Fully brand-consistent AGPro color palette built in.
🔸 How to Use
- Treat 5/5 STRICT stacks as the headline signal. They are rare by construction and typically appear at genuine inflection points.
- Use 4/5 stacks as early-warning context around support, resistance, or higher-timeframe levels.
- Read the per-oscillator live state on the panel. When RSI, MACD, CCI, MFI are all in the same direction and OBV is the last holdout, a full stack is often imminent.
- Pressure zones work well as re-entry or invalidation levels after the initial signal fires.
- The rolling win rate is a sanity check for the current asset and timeframe — if it degrades meaningfully, raise the minimum stack level or widen the pivot lookback.
🔹 Limitations and Transparency
- This is a confluence tool, not a standalone trading system. Divergence by nature can persist in strong trends before any reversal.
- The engine is pivot-based and therefore delayed by the pivot lookback. Labels appear on the bar the pivot is confirmed, not on the pivot itself.
- Win rate is computed on the last N decided signals on the current chart. It is not a backtest, it is an evolving statistic and it does not include slippage, spread, or position sizing.
- Window stacks are lower-confidence than strict stacks by design. The visual distinction is intentional.
- Session-based "Today's Max" uses calendar-day rollover.
🔸 Risk Disclosure
This indicator is a technical analysis tool for research and education. It is not financial advice, not a signal service, and not a trading strategy. Past patterns do not guarantee future behavior. You are solely responsible for your trading decisions, risk management, and position sizing. Always combine any indicator with independent analysis, higher-timeframe context, and strict risk controls.
🔹 Technical Notes
- Pine Script v6, overlay indicator.
- Fully non-repainting. All divergences are evaluated only on confirmed pivots.
- Drawing objects (labels, boxes) are capped to avoid resource overruns.
- MPL 2.0 licensed — open source. Indicator
Multi-Anchor VWAP Grid [AGPro Series]Multi-Anchor VWAP Grid
🔹 Overview
Multi-Anchor VWAP Grid is a volume-weighted analysis tool that plots five independently anchored VWAP lines on the same chart — anchored from swing high, swing low, higher-timeframe pivot, all-time high, and session open. Each anchored VWAP includes optional ±1σ and ±2σ standard deviation bands, forming a dynamic grid of volume-weighted support and resistance levels. When three or more VWAPs converge within a tight ATR-based band, the indicator draws a rectangular confluence zone highlighting the area as a higher-probability price reaction region.
The script is fully automatic. All five anchors are detected by internal engines (pivot detection, session detection, timeframe change detection, all-time-high tracker) and require no manual date picking or retroactive anchor placement. Install the indicator, select which anchors you want active, and the grid builds itself.
🔹 What It Does Differently
Most anchored VWAP tools plot one anchor at a time and require the user to manually place the anchor each time a new swing or event is identified. This script plots five anchors simultaneously and lets them compete for relevance. When multiple independent anchors agree on a price level, that agreement itself becomes the signal — visualized as a confluence zone. A single VWAP is one data point. Five VWAPs intersecting within 0.5 ATR of each other is a structural event.
The confluence detection engine tests each active VWAP as a reference point, counts how many others fall within the user-defined ATR tolerance, and picks the densest cluster on each bar. A minimum VWAP count threshold (default 3) prevents noise, and a lifecycle manager extends, adaptively resizes, and expires zones based on bar age and midpoint drift.
🔹 Methodology
**Anchor engines**
Swing High and Swing Low VWAPs reset on each confirmed pivot using the standard ta.pivothigh / ta.pivotlow detector with a configurable lookback length. HTF Pivot VWAP resets at the start of each selected higher-timeframe period (daily, weekly, or monthly) using timeframe.change. ATH VWAP resets whenever a new all-time high is printed on the visible chart. Session Open VWAP resets at the first bar of each trading session defined by the session window input.
**VWAP calculation**
Each anchor maintains three running accumulators since its last reset: sum of (price × volume), sum of volume, and sum of (price² × volume). VWAP is computed as the first divided by the second. Standard deviation is derived from the variance identity: sqrt(E − E ²), where E and E are computed from the running accumulators. Bands are plotted at configurable multipliers of this running standard deviation.
**Confluence engine**
On each bar, the script evaluates every active VWAP as a potential cluster center. For each candidate center, it counts how many other active VWAPs fall within ATR × tolerance distance. The cluster with the highest count wins. If the winning count meets or exceeds the minimum threshold, the bar is marked as confluence-active.
**Zone lifecycle**
When confluence becomes active, a new rectangular zone is created spanning the min/max of the clustered VWAPs. As long as confluence remains active and the cluster midpoint drifts less than 0.5 ATR from its original midpoint, the zone extends to the current bar and adaptively resizes with rate-limited expansion (maximum 1 ATR growth per bar per direction, preventing erratic stretching). If the midpoint drifts more than 0.5 ATR, a new zone is created. A 5-bar debounce prevents micro-breaks in confluence from prematurely closing active zones. Zones auto-expire after a configurable age limit (default 120 bars).
🔹 Signals and Panel Readouts
The information panel in the top-right corner (position and theme configurable) displays:
- **Price Bias** — count of VWAPs price is currently above vs below, with an overall BULL / BEAR / MIXED classification
- **Confluence** — current status (active with cluster count, or none) and the minimum-count threshold in use
- **Closest VWAP** — which of the five VWAPs is currently closest to price, and the distance in ATR units
- **Active VWAPs** — each enabled VWAP's current value and percent distance from close
Two alert conditions are built in: new confluence zone detection, and price crossing any active VWAP line.
🔹 Key Inputs
**Anchor Points group** — toggle each of the five VWAPs on or off, set swing pivot lookback length, choose HTF timeframe (D/W/M), define the session window for intraday anchoring.
**Deviation Bands group** — toggle bands on or off, configure band 1 and band 2 multipliers, enable or disable gradient fills between VWAP and the first band.
**Confluence Zones group** — toggle zones on or off, set minimum VWAPs required for a confluence (2 to 5), adjust the ATR-based tolerance, define maximum zone age in bars.
**Panel group** — toggle panel, choose location (six positions), select Dark or Light theme, set font size (Small / Normal / Large).
**Labels group** — toggle the compact end-of-line labels that identify each VWAP at the right edge of the chart.
🔹 How to Use
This indicator is designed as a context layer, not a standalone entry signal. Suggested workflow:
**1. Identify structural bias.** Check the Price Bias row in the panel. If 4 or 5 VWAPs sit below price (BULL), the market is trading above its most relevant volume-weighted averages across multiple timeframes and event contexts. The opposite applies for BEAR.
**2. Watch for confluence formation.** When the panel shows Confluence ACTIVE with 3 or more VWAPs clustered, a meaningful volume-weighted support or resistance area is forming. These zones often precede reaction or reversal behavior.
**3. Use bands for context.** When price trades near the ±1σ band of a single VWAP, reversion back toward that VWAP is statistically more likely. ±2σ extensions indicate volatility outliers.
**4. Cross-reference with your own tools.** This script is most useful combined with price action, volume profile, or a trend filter of your choice. It does not generate entries or exits on its own.
🔹 Tips
- On crypto 24h markets, set Session Window to 0000-2359 for a full-day session VWAP.
- Higher Swing Pivot Length values (30–50) filter noise on higher timeframes; lower values (10–15) are better for intraday.
- If the chart feels visually crowded, disable the ±2σ bands or reduce the number of active anchors. All five are rarely needed simultaneously.
- For the strongest confluence signals, increase Min VWAPs for Confluence to 4 — rarer but higher conviction.
🔹 Limitations and Transparency
- The script uses standard Pine Script pivot detection for swing anchors. Pivots are confirmed only after the pivot length has passed, which means swing VWAP anchors are placed retrospectively by that many bars. This is an inherent limitation of all pivot-based tools, not a bug.
- ATH tracking is limited to the visible chart range. On timeframes or symbols where the chart does not load full history, the "ATH" anchor represents the highest point within loaded data, not the true all-time high.
- Standard deviation bands assume price dispersion around each VWAP is approximately normal over the anchored period. In strongly trending markets, this assumption weakens and bands may widen significantly.
- Confluence zones are descriptive, not predictive. They mark areas where multiple volume-weighted averages happen to agree. They do not guarantee price reaction, only indicate where reaction is more plausible than average.
- Session Window input must match the instrument's trading hours to produce a meaningful intraday VWAP. Incorrect session definitions will produce misleading anchor points.
🔹 Risk Disclosure
This indicator is provided for educational and analytical purposes only. It is not financial advice, investment advice, or a recommendation to buy, sell, or hold any asset. All trading involves substantial risk of loss. Past chart behavior and historical VWAP reactions do not guarantee future results. Users are solely responsible for their own trading decisions and risk management. Always combine indicator output with independent analysis and appropriate position sizing. The author accepts no responsibility for any financial outcome resulting from the use of this script. Indicator
Mitigation Block Quality [AGPro Series]OVERVIEW
Mitigation Block Quality grades every order-block retest as A, B, or C based on
the strength, speed, and follow-through of the bounce after price returns to
the block. Instead of just drawing order blocks and leaving you to guess
which ones matter, the script measures each mitigation objectively and keeps
a live scoreboard of how those reactions have been performing.
The result is an order block tool that tells you two things at once: where
the zones are, and how well price has historically respected them on the
symbol and timeframe you are looking at.
UNIQUE EDGE
Most order-block indicators end at detection. This one begins there. Each
time a block is mitigated, the script measures the reaction over a fixed
window and grades the bounce by its ATR-normalized magnitude. That grade
is then reflected everywhere: on the block border, in the on-chart label,
in the dashboard, and in the historical success-rate statistics.
You also get multi-timeframe context, confluence detection, streak tracking,
and a dynamic setup banner that describes the current price-block
relationship in plain English.
METHODOLOGY
1. Detection. Swing pivots are identified using a configurable pivot length.
The last opposite-colored candle before the pivot forms the order block.
2. Mitigation. A block is mitigated when price re-enters the zone.
3. Grading. After a fixed reaction window, the script measures the peak of
the bounce and normalizes it to ATR. Grade A is a strong bounce, B is
solid, C is weak.
4. Invalidation. A body close beyond the block marks it as invalidated.
Invalidated blocks can be hidden or shown as a dotted reference.
5. Retirement. Blocks retire by age, by distance from price, or when the
per-side cap is exceeded.
FEATURES
- A, B, or C grade assigned to every mitigation (ATR-normalized reaction)
- Reaction trail line on Grade A mitigations showing the bounce extent
- Entry marker (diamond) at the exact mitigation bar of Grade A bounces
- Confluence glow when two or more blocks overlap within 0.5 ATR
- Time-based opacity decay so older blocks recede and fresh ones pop
- Optional pulse animation on A/B blocks while price is inside them
- Price-scale labels tagging each active block's grade and side
- Higher-timeframe alignment check against a configurable HTF structural bias
- Dashboard panel with: active count, tested count, success (current),
nearest-block state (Inside / Touching / distance in ATR), all-time
success rate with stacked distribution bar, last-20 success, health
progress bar, current Win/Loss streak, HTF alignment, and a dynamic
setup banner
SIGNALS & ALERTS
Three alert conditions are provided:
- Grade A Mitigation — a premium-quality bounce has been detected
- Grade B Mitigation — a solid bounce has been detected
- Block Invalidation — an active block has been broken
These are alertconditions and can be configured from the PulseWire
Create Alert dialog in the usual way.
KEY INPUTS
- Pivot Length and Lookback: control how blocks are detected and how long
they stay on the chart
- Reaction Window and Grade Thresholds (A, B in ATR units): define what
counts as a premium, solid, or weak bounce
- Invalidation Mode: choose between body close or wick pierce
- Retire Block Beyond (xATR): automatic cleanup when price moves far away
- Max Active Blocks per Side and Max Visible Labels: keep the chart premium
- Premium Visuals toggles: Reaction Trail, Entry Marker, Confluence Glow,
Quality Heatmap row, Setup Banner, Pulse, Time Decay, Price Scale Labels,
HTF Alignment, Streak row
- HTF for Alignment: the higher timeframe used for multi-timeframe confluence
- Panel location and theme
HOW TO USE
1. Add the script to any chart and timeframe.
2. Read the panel top-down:
- Last 20 breakdown tells you the recent quality regime
- Nearest Block tells you how close the closest active zone is
- All-time and Last 20 success tell you how reliable those zones have been
- Streak gives you momentum context
- HTF Alignment tells you if the bigger picture agrees
- Setup banner describes what is happening right now
3. Look at the chart:
- A/B/C labels on mitigated blocks tell you how those tests resolved
- Reaction trails and diamonds highlight the premium Grade A mitigations
- Confluence glows mark zones where multiple blocks agree
4. Use alerts to get notified when a fresh Grade A or Grade B mitigation
occurs, or when an active block is invalidated.
The tool is designed to help with discretionary analysis. It is not a
trading system and does not generate buy or sell signals on its own.
LIMITATIONS & TRANSPARENCY
- Pivots are confirmed after the swing length completes, so block detection
has a small structural lag. This is inherent to any pivot-based method.
- Grades are assigned after the reaction window closes. A very fresh
mitigation will briefly show "Active" before its grade appears.
- HTF Alignment uses a 50-period simple moving average on the chosen higher
timeframe as a structural bias proxy. It is a context filter, not a
predictive signal.
- All metrics are computed from the visible historical data on the current
chart. Loading more bars will change the all-time statistics.
- The script uses Pine Script v6 drawing objects. Extremely long histories
on very low timeframes may hit PulseWire object limits; the built-in
per-side cap and distance-based retire keep this under control in normal
use.
RISK DISCLOSURE
This script is an analysis aid, not financial advice. It does not predict
future price movement and does not generate trade recommendations. Any
decision to enter or exit a position is the responsibility of the user.
Historical grade distributions are descriptive, not predictive. Past
mitigation behavior on a symbol does not guarantee future behavior.
Trade with risk capital you can afford to lose and use appropriate
position sizing and stop placement.
LICENSE
Released under the Mozilla Public License 2.0. The full source is available
on PulseWire via the Open-Source badge. You are free to study and modify
the code subject to the terms of the license. Indicator
AlphaEngine █ ALPHAENGINE v1.0
The Adaptive Consensus Trading Algorithm
Self-optimizing signal engine that runs 6 independent "Expert" sub-systems simultaneously, tracks their real-time accuracy, and dynamically adjusts their influence using an Adaptive Consensus algorithm inspired by the Multiplicative Weight Update method. The result: an indicator that learns which strategies work best in the current market — and automatically amplifies them while suppressing underperformers. All in real-time, on every single bar.
Free and Open Source.
█ THE 6 EXPERTS
1. Trend Expert
Triple EMA alignment (Fast/Mid/Slow) combined with ADX trend strength. Detects directional bias and amplifies signals when the trend is strong.
2. Momentum Expert
Blends RSI zone analysis (40%), Stochastic crossover (30%), and Rate-of-Change velocity (30%) into a single momentum score. Catches acceleration and deceleration in price moves.
3. Volume Expert
On-Balance Volume trend direction combined with real-time volume spike detection. Confirms signals with institutional participation. Volume must agree with price direction for full score.
4. Volatility Expert
Bollinger Band position mapping combined with ATR expansion/contraction analysis. Includes Squeeze Detection that alerts before major breakout moves.
5. Supertrend Expert
ATR-based dynamic support/resistance with distance scaling. Stronger signals when price is firmly above/below the supertrend line.
6. Structure Expert
Higher-timeframe EMA bias using auto-selected HTF (e.g., 1H chart checks 4H, 5m chart checks 1H). Ensures signals align with the macro trend.
█ THE ADAPTIVE WEIGHTING ENGINE
Unlike traditional indicators that treat all components equally, AlphaEngine tracks which experts are actually performing well in the current market conditions:
Each expert's predictions are validated against real price movement
A rolling accuracy score (exponential decay) measures recent performance
Weights are computed as accuracy squared — creating clear differentiation
Experts with high accuracy get amplified, poor performers get dampened
The engine adapts to any market environment automatically
In a strong trending market, the Trend and Supertrend experts naturally gain weight. In a ranging/choppy market, Momentum and Volume experts take over. The engine adapts automatically.
█ SIGNAL GRADING: A/B/C
A-Grade (75%+ consensus) — High quality. Strong agreement among key experts.
B-Grade (60%+ consensus) — Standard. Moderate agreement. Use with additional confirmation.
C-Grade (50%+ consensus) — Weak. Minimal consensus. For analysis only. Filterable via settings.
Signal labels are visual: A-grade signals are larger and prominent. B/C are smaller and subtle. A minimum grade filter lets you hide weaker signals.
█ RISK MANAGEMENT
Take Profit + Stop Loss:
TP1 — ATR-based take profit target with visual line and hit detection
SL — Dynamic ATR-based stop loss, adapts to current volatility
Visual checkmark when TP1 is reached, X marker when SL triggers. Both levels are always proportional to market conditions — never fixed distances.
█ VISUAL FEATURES
Smart Candle Coloring — 6-level gradient from deep green to deep red based on consensus strength
Trend Background — Subtle gradient overlay showing macro direction
Volatility Bands — Dynamic Bollinger-based bands with squeeze highlight
Squeeze Detection — Diamond dots below price when volatility contracts
Supertrend Line — Color-coded dynamic support/resistance
EMA Lines — Optional Fast/Mid/Slow EMA visualization
█ DASHBOARD
Compact 10-row real-time analytics panel: Current signal + grade + consensus %, visual consensus bar, each expert's direction + rolling accuracy %, and volatility state (Squeeze/Expand/Contract/Normal).
█ ALERTS (7 CONDITIONS)
Signal: Buy/Sell, A-Grade Buy/Sell
Risk: TP1 Hit, SL Hit
Volatility: Squeeze Start
█ PRO VERSION
The PRO version adds:
VWAP Expert — 7th expert for institutional fair-value bias with timeframe auto-scaling
Trading Style Presets — Auto/Scalping/Intraday/Swing/Position/Custom with automatic parameter tuning
Asset Auto-Optimization — Crypto/Forex/Stocks/Futures multipliers for volatility and volume sensitivity
RSI Divergence Detection — Regular + Hidden divergences with visual labels and connecting lines
S-Grade Signals — Elite setup grade (90%+ consensus) for highest probability entries
Multi-Target TP — TP1/TP2/TP3 system with sequential hit detection and R:R ratio display
Premium Dashboard — 17-row analytics panel with all expert weights, divergence status, and TP tracking
17 Alert Conditions — Including divergence alerts, squeeze breakout, trend flip, and grade-specific triggers
█ NON-REPAINTING
All calculations use standard non-repainting indicators (EMA, RSI, ADX, ATR, OBV, Stochastic, Bollinger Bands). Multi-timeframe data uses confirmed prior-bar values. No repainting.
█ WORKS ON
Crypto, Forex, Stocks, Futures, Indices, Commodities and Bonds — any timeframe from 1 second to Monthly.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. No indicator can predict market movements with certainty. Always implement proper risk management. Use this tool as one component of a comprehensive trading strategy, not as a standalone decision-making system.
Indicator
Bot Webhook v8.5 - RSI Stoch Squeeze Regime Detection🔹 Multi-Timeframe Confluence Signal System v8.5 for SOL/USD
A data-driven signal indicator optimized for SOL perpetual futures across 30+ timeframes (30s to 20m). Every threshold has been backtested and fine-tuned using real trade data (2,100+ signals analyzed).
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔸 HOW IT WORKS
The indicator combines multiple technical layers into a single confluence system:
- RSI + Stochastic K — Timeframe-specific oversold/overbought thresholds (not one-size-fits-all)
- RSI Slope — Momentum direction filter
- ADX — Trend strength gating to avoid choppy markets
- Bollinger Band / Keltner Channel Squeeze — Detects volatility compression and breakout moments (SHORT side only, proven 53.8% hit rate with 1.39x R/R)
- Volatility Regime Detection — Classifies market state (Trending, Ranging, Squeeze Building, Breakout Imminent) with automatic WEAK_UP blocking
- Dynamic Confidence Scoring — Each signal gets a 0–100% confidence rating based on regime, indicators, and historical win rate
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🔸 KEY FEATURES
✅ 30+ individually calibrated timeframes (30s, 45s, 1m–20m)
✅ Separate LONG & SHORT logic with independent RSI/K/Slope/ADX thresholds per timeframe
✅ Squeeze SHORT signals (Keltner breakout + bearish momentum + volume spike)
✅ Regime-aware filtering — blocks signals in unfavorable market conditions
✅ Confidence-based signal filtering (adjustable minimum threshold)
✅ Full info dashboard (regime, squeeze status, indicators, win rates, signal state)
✅ JSON webhook alerts with complete trade metadata (entry, SL, TP, ATR, regime, confidence)
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🔸 VERIFIED PERFORMANCE (from 2,100+ signal analysis)
📊 LONG base signals: 68.2% hit rate, 1.48x risk/reward
📊 Squeeze SHORT signals: 53.8% hit rate, 1.39x risk/reward
📊 Best performing timeframes: 30s, 45s, 12m+
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🔸 VISUAL GUIDE
🟢 Green triangle = LONG signal
🔴 Red triangle = SHORT signal
🟣 Purple diamond = Squeeze SHORT signal
🟡 Yellow background = Squeeze zone active
📊 Top-right table = Live dashboard with all indicator values
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔸 WEBHOOK / BOT INTEGRATION
Alerts output JSON with full trade context — ready for automated bot integration via webhook. Includes entry, stop loss, take profit, ATR, RSI, regime, confidence score and more.
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⚠️ DISCLAIMER
This indicator is a tool for analysis, not financial advice. Past performance does not guarantee future results. Always manage your risk.
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🤖 Want to fully automate these signals?
Check out FuturesBot — an automated crypto futures trading bot that executes signals like these 24/7 with smart profit protection, position management, and AI-powered trade validation.
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Market Correlation Matrix [NikaQuant]Market Correlation Matrix
A real-time correlation dashboard that displays Pearson correlation coefficients between the current chart symbol and up to 6 user-defined comparison symbols.
═══ FEATURES ═══
• Track correlations for up to 6 symbols simultaneously (default: BTCUSDT, GOLD, SPX, DXY, US10Y, QQQ)
• Heatmap-colored table with intuitive color coding from strong positive (green) to strong negative (red)
• Correlation change tracking — see how correlations are shifting over a configurable lookback period
• Visual strength bars showing absolute correlation magnitude at a glance
• Signal classification labels: STRONG+/-, MOD+/-, WEAK+/-, NEUTRAL
• Built-in alerts for strong positive/negative crosses (±0.7) and zero-line crosses
• Fully customizable: table position, text size, all colors, border styling
═══ HOW IT WORKS ═══
The indicator calculates Pearson correlation over a user-defined period (default: 50 bars) between the chart’s close price and each comparison symbol’s close price. It then renders a compact table showing:
1. Symbol — Ticker of the comparison asset
2. Corr — Current correlation value (-1 to +1)
3. Change — How much the correlation shifted vs N bars ago (with directional arrows)
4. Strength — Block-style visual bar representing absolute correlation
5. Signal — Classification from NEUTRAL to STRONG+/-
═══ SETTINGS ═══
Symbols: Configure up to 6 comparison symbols (leave blank to skip)
Correlation Period: Lookback length for Pearson calculation (default: 50)
Change Lookback: Compare current vs past correlation (default: 10 bars)
Display: Table position, show/hide title
Style: Full color customization for heatmap, headers, borders, and change indicators
═══ ALERTS ═══
• Strong positive correlation cross (above +0.7) per symbol
• Strong negative correlation cross (below -0.7) per symbol
• Any symbol crossing the zero line
═══ USE CASES ═══
• Monitor intermarket relationships in real time
• Identify regime changes when correlations break down or strengthen
• Confirm or filter trade setups using cross-asset correlation context
• Track USD, bonds, equities, and crypto correlations from a single chart Indicator
AG Pro HTF Bias Dashboard [AGPro Series]AG Pro HTF Bias Dashboard
Overview / What it does
AG Pro HTF Bias Dashboard is a higher-timeframe context tool built for traders who want a fast, structured view of directional conditions across multiple larger timeframes without crowding the chart with extra signals, zones, or decision noise.
The script summarizes higher-timeframe bias in a compact dashboard and presents each selected row as Bull, Bear, or Neutral, together with a mode-specific status readout. The goal is not to predict the next candle or replace a full trade plan. The goal is to make larger-timeframe context easier to read at a glance.
This indicator is designed to answer a simple but important workflow question: "What is the broader directional environment across the higher timeframes I care about right now?" Instead of forcing the user to manually flip through multiple charts and compare structure or trend conditions one by one, the dashboard keeps that information visible in a single panel.
The script supports multiple bias engines so the same dashboard can be adapted to different styles of chart reading. Users can evaluate higher-timeframe context through EMA Stack alignment, confirmed Swing Structure, SuperTrend direction, or MACD Momentum agreement. This makes the tool flexible enough for trend-following traders, structure-based traders, and users who prefer momentum-style confirmation.
Unlike many overlays that try to combine entries, exits, alerts, pattern detection, and signal generation inside one study, this script stays focused on one task: higher-timeframe directional context. That single-purpose design is intentional. It keeps the output clean, readable, and easier to integrate into an existing process.
Unique Edge
The main strength of this script is not signal generation. Its edge is structured context compression.
Instead of plotting a large number of higher-timeframe elements directly on the chart, AG Pro HTF Bias Dashboard converts higher-timeframe conditions into a compact visual matrix. This makes it possible to assess multi-timeframe agreement quickly while keeping the chart itself relatively clean.
A second differentiator is the ability to switch the bias engine. The dashboard is not locked to one interpretation framework. Users can work with:
- EMA Stack, for ribbon-style alignment
- Swing Structure, for confirmed HH/HL and LH/LL progression
- SuperTrend, for ATR-based directional trend state
- MACD Momentum, for momentum agreement between line, signal, and histogram
Another important detail is the higher-timeframe validity filter. Rows that are not actually higher than the current chart timeframe are marked as Lower/EQ instead of being treated as valid higher-timeframe context. This helps keep the dashboard aligned with its intended purpose.
The script also includes confluence logic, so the user can see not only the state of each row, but also the dominant higher-timeframe bias and how many valid rows support that direction. In practice, this helps users distinguish between broad directional agreement and mixed conditions.
Methodology
The dashboard can display three to five higher-timeframe rows, depending on user settings. Each row evaluates one selected timeframe and classifies it into Bull, Bear, or Neutral.
Bias Mode options:
1) EMA Stack
This mode evaluates directional alignment using a three-EMA structure. A bullish state requires price and the EMA ribbon to be aligned in bullish order. A bearish state requires the opposite alignment. When the full sequence is not aligned, the row can remain neutral and display a partial status such as 2/3 or 1/3 rather than forcing a directional label.
2) Swing Structure
This mode uses confirmed pivot logic to read higher-timeframe structure. It looks for confirmed higher highs / higher lows or lower highs / lower lows, and then evaluates position relative to the active swing range. Because this logic depends on confirmed pivots, structure changes are naturally more selective and may appear later than faster trend models.
3) SuperTrend
This mode reads directional state using an ATR-based trend framework. It is intended for users who prefer a cleaner directional state model rather than ribbon alignment.
4) MACD Momentum
This mode classifies bias through agreement between the MACD line, signal line, and histogram. It is useful for traders who prefer momentum confirmation over structure or moving-average ordering.
The dashboard then calculates:
- the number of valid bullish rows
- the number of valid bearish rows
- the dominant higher-timeframe state
- the confluence count across valid rows
Optional chart context features are also included. Depending on settings, the script can color candles according to the active chart bias, plot the active EMA ribbon or SuperTrend on the chart, apply a subtle background tint when confluence is strong enough, and show a compact mini context tag on the chart.
States / Context Output
This indicator is a context dashboard, not an alert engine.
It does not generate buy or sell alerts, does not mark trade entries, and does not claim to identify optimal execution points. Its outputs are state-based and contextual:
- Bull
- Bear
- Neutral
- Confluence summary
- Mode-specific status text
The mini chart tag, when enabled, is only a compact summary of dominant higher-timeframe direction and current confluence. It should be read as context, not as a trade instruction.
Key Inputs
Higher Timeframes
Users can select three to five rows and define the exact higher timeframes to monitor.
Bias Mode
Choose between EMA Stack, Swing Structure, SuperTrend, and MACD Momentum.
Engine Parameters
The script exposes relevant inputs for each engine, including EMA lengths, Swing Strength, SuperTrend ATR settings, and MACD settings.
HUD Controls
The panel position and panel scale can be customized so the dashboard can fit different layouts and chart styles.
Style Controls
Users can adjust theme and directional colors for bullish, bearish, and neutral states.
Chart Context Controls
Optional features include candle coloring, active indicator plotting for EMA / SuperTrend, strong-confluence background tinting, mini context tag visibility, tag anchor, tag offset, and tag font size.
Limitations & Transparency
This script is not a prediction model. It summarizes directional context from user-selected higher-timeframe logic.
Higher-timeframe tools can update only when data from those larger intervals updates. Because of that, the dashboard should be understood as a context layer rather than a real-time trigger engine.
Swing Structure mode uses confirmed pivots. That means structure changes may appear later than faster directional methods, because confirmation requires completed pivot information.
Neutral states do not necessarily mean the market is untradeable. They simply indicate that the selected bias engine does not currently show clear directional alignment under the chosen rules.
The confluence count is a summary statistic, not a quality score. A larger number of aligned rows does not automatically mean a better trade. It only means more selected higher-timeframe rows currently point in the same direction.
Rows marked Lower/EQ are excluded from valid higher-timeframe confluence because they are not above the active chart timeframe.
This script is intended to support discretionary analysis and chart organization. It should be combined with the user’s own execution framework, risk model, and market understanding.
Risk Disclosure
This indicator is provided for analysis and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes.
Market conditions can change quickly, and no single indicator or dashboard can remove uncertainty from trading or investing. Users should evaluate higher-timeframe context together with price action, liquidity, volatility, risk management, and their own decision process.
Past behavior, historical alignment, or current confluence does not guarantee future performance.
Indicator
AG Pro Auto Supply & Demand Zones [AGPro Series]AG Pro Auto Supply & Demand Zones
Overview / What it does
AG Pro Auto Supply & Demand Zones is an overlay that automatically detects supply and demand areas by combining compact base structures with directional displacement. The script is designed to help traders track where price left an area with enough urgency to justify keeping that zone on the chart for future reference, while also showing how that zone evolves over time.
Instead of plotting every possible reaction area, the script applies a structured lifecycle model. A newly created zone begins as Fresh, can transition to Tested after a qualifying retest, and can later become Expired when it no longer meets the active criteria selected by the user. This state-based approach makes the chart easier to interpret because zones are not treated as static drawings. They are continuously re-evaluated as price interacts with them.
The script also distinguishes between proximal and distal boundaries so users can see both the near edge and the full depth of each zone. A built-in active-zone limit helps keep the chart under control, and older zones gradually fade through time-based opacity reduction. This allows recent and decision-relevant areas to remain visually stronger while historical context becomes lighter.
A light higher-timeframe overlay is included for users who want broader context without turning the chart into a dense multi-timeframe map. The goal is not to overwhelm the screen with background structure, but to add a subtle layer of alignment when higher-timeframe supply or demand remains relevant to the current price area.
Unique Edge
The distinctive feature of this script is that it does not stop at zone creation. It manages the full visual and logical lifecycle of a zone. Fresh, Tested, and Expired states are tracked in an explicit way, which makes the output more practical than a simple box-drawing tool.
A second differentiator is the same-side merge logic. When a newly detected zone forms too close to an existing zone on the same side, the script can refresh or merge that area instead of stacking nearly identical layers on top of one another. This helps reduce redundancy and produces a cleaner, more readable structure map.
Another important edge is the visibility architecture. Users can choose between All, Balanced Focus, and Smart Focus modes. This allows the chart to stay informative without becoming overloaded. Nearest active zones can be emphasized, distant context can be softened, and labels can be kept minimal, balanced, or fully expanded depending on the preferred workflow.
Methodology
The script uses a base-plus-displacement framework.
1. Base detection
A candidate zone begins with a compact base cluster. The script evaluates the total base range relative to ATR and can also apply a clean-wick filter so that noisy or overly volatile bases are filtered out.
2. Displacement confirmation
After the base, the script looks for directional expansion. The displacement candle must satisfy body-size conditions relative to ATR and must close with sufficient directional conviction. This is intended to avoid weak breaks that do not clearly separate from the base.
3. Zone construction
For demand zones, the script builds the area using the base body high as the proximal reference and the base low as the distal boundary. For supply zones, it uses the base body low as the proximal reference and the base high as the distal boundary. This gives the user both the near decision line and the full zone range.
4. Lifecycle tracking
A zone is initially Fresh. Once price revisits it under the selected confirmation mode, it can become Tested. If retests exceed the permitted limit, or if the user enables distal close-break invalidation, the zone can transition to Expired.
5. Zone maintenance
The script can merge overlapping same-side zones, cap the total number of active zones, reduce opacity as zones age, and selectively hide distant context based on the selected visibility profile.
6. Light higher-timeframe context
When enabled, the script projects a restrained higher-timeframe supply and demand layer onto the current chart. This is intended as context, not as a replacement for the active zones detected on the chart timeframe.
Signals & Alerts
This script includes alert support for key state events:
- New Demand Zone
- New Supply Zone
- Fresh Demand Touched
- Fresh Supply Touched
- Demand Zone Expired
- Supply Zone Expired
These alerts are designed to follow the script's zone-state logic rather than subjective interpretation. Users can enable or disable zone-creation alerts, fresh-touch alerts, and expiration alerts independently.
Key Inputs
Detection
Base Bars controls how many candles are used to form the base.
Base Range ATR Factor defines how compact the base must remain relative to ATR.
Max Single Base Candle ATR Factor limits oversized candles inside the base.
Displacement Body ATR Factor controls the minimum strength required for displacement.
Displacement Close Location checks whether the displacement candle closes with directional commitment.
Use Clean Base Wick Filter helps reduce noisy base formations.
Zone Management
Merge Nearby Same-Side Zones helps avoid repeated stacking of almost identical zones.
Minimum Same-Side Separation ATR defines how close a new zone can be to an existing same-side zone before merge logic becomes relevant.
Minimum Zone Overlap Ratio requires stronger overlap before two nearby zones are treated as one structure.
Lifecycle
Max Active Zones limits how many active zones remain on the chart.
Max Tests Before Expire controls how many qualified retests a zone can absorb before it expires.
Test Confirmation offers Touch, Penetration, and Close Inside modes.
Min Test Penetration Ratio refines how deep price must move into a zone when Penetration mode is selected.
Expire On Distal Close Break can invalidate a zone when price closes beyond the distal boundary.
Visuals
Show Proximal Line and Show Distal Line let users control boundary visibility.
Zone Visibility allows All, Balanced Focus, or Smart Focus workflows.
Keep Nearest Active Zones Per Side helps preserve immediate context.
Highlight Nearest Zones strengthens the most decision-relevant zones.
Label Mode, Label Size, Label Right Offset Bars, and Label Spacing ATR control how zone labels are displayed.
Light MTF View
Enable Light MTF View activates higher-timeframe context.
MTF Timeframe selects the higher timeframe.
MTF Fill Transparency and MTF Context Bars help keep the overlay subtle.
Panel
The summary panel can be shown or hidden.
Panel Theme, Panel Location, and Panel Font Size allow adaptation to different chart layouts and visual preferences.
How to use it
Many users will treat this script as a context and reaction map rather than as a standalone entry model.
A common workflow is:
- identify the nearest active demand and supply zones,
- check whether the zone is Fresh or already Tested,
- observe whether current price is approaching the proximal boundary or already trading deeper inside the zone,
- use the light higher-timeframe layer for context,
- then combine the zone information with personal confirmation tools such as structure, momentum, candle behavior, or risk rules.
Fresh zones may be more interesting when they align with trend context or with a relevant higher-timeframe area. Tested zones can still matter, but their interpretation should usually be more selective because the zone has already been revisited.
Limitations & Transparency
This script detects supply and demand zones through a rules-based base and displacement model. It does not claim to identify every meaningful reaction area on a chart, and it does not attempt to label institutional intent, order flow, or smart-money behavior as a certainty.
The quality of a zone depends on the selected settings, the volatility profile of the market, and the timeframe being analyzed. A more permissive configuration will naturally surface more zones, while a stricter configuration will produce a cleaner but narrower map. No single setting profile is optimal for every instrument.
The higher-timeframe overlay is intentionally lightweight. It is designed to provide context, not to replace full top-down analysis. Likewise, a Fresh or Tested label should not be treated as a guarantee of reaction. It is simply the script's state classification based on the selected confirmation logic.
This tool is best understood as a structured charting aid. It helps organize zone detection, lifecycle tracking, and visual prioritization. It does not remove the need for trade selection, confirmation, execution discipline, or risk management.
Risk Disclosure
This indicator is for chart analysis and educational use only. It does not provide financial advice, investment recommendations, or guaranteed outcomes. Markets can move through supply and demand zones without reacting, can partially react and fail, or can produce false confirmations. Always test settings carefully, evaluate the script in the context of your own process, and use proper risk management before making trading decisions.
Indicator
Indicator
AG Pro Pivot Cluster Survival Map [AGPro Series]AG Pro Pivot Cluster Survival Map
Overview / What it does
AG Pro Pivot Cluster Survival Map is an overlay tool that evaluates the durability of nearby pivot clusters rather than focusing on a single pivot reaction. The script groups Daily, Weekly, and Monthly Classic Pivot levels when they compress into the same price neighborhood, then measures how well that cluster has held up under repeated interaction.
The goal is not to label every pivot touch as strong or weak. The goal is to show whether a pivot-derived zone has continued to absorb pressure, remain structurally relevant, or lose stability over time. This makes the script suitable for users who want to monitor confluence-based pivot structure instead of isolated one-bar reactions.
The visual model is intentionally compact. The script highlights the nearest upper cluster and the nearest lower cluster, assigns a survival score to each side, and displays a pressure readout for the dominant active zone. The result is a map of pivot-cluster durability, not a generic support/resistance overlay and not a simple reaction detector.
Unique Edge
The distinguishing feature of this script is its focus on pivot-cluster survival.
Many pivot tools concentrate on one level at a time. Many reaction tools classify the immediate response after a touch, reclaim, or rejection. This script approaches the problem differently. It asks whether multiple pivot levels from different higher timeframes are compressing into the same zone, and whether that zone is still surviving repeated market interaction.
That difference matters.
This script does not score a single bounce. It does not try to predict a reversal from one isolated pivot event. It evaluates whether a pivot cluster remains durable after tests, inside-zone pressure, breaches, and time spent without structural failure.
Within the AG Pro catalog, this script is materially different from AG Pro Pivot Points Reaction Map. Pivot Points Reaction Map is centered on reaction quality at pivot levels. Pivot Cluster Survival Map is centered on cluster durability, confluence density, and survival under pressure. In other words, one evaluates the response; the other evaluates the staying power of the pivot cluster itself.
It is also different from broader level-survival or support/resistance tools because the source engine here is explicitly pivot-derived. The script is built around Daily, Weekly, and Monthly Classic Pivot families, then transformed into a confluence-survival framework.
Methodology
The current version uses Classic Pivot calculations from higher timeframes.
1. Daily, Weekly, and Monthly pivot levels are collected.
2. Nearby pivot levels are grouped into clusters when they fall within the active cluster width.
3. The script selects the nearest upper cluster and the nearest lower cluster relative to current price.
4. Each selected cluster is evaluated with a survival model.
The survival model is based on factors such as:
- cluster density
- higher-timeframe participation
- repeated tests
- rejection behavior
- inside-zone pressure
- breach frequency
- time since structural failure
A higher survival score suggests that the cluster has remained more durable under recent interaction. A higher pressure reading suggests that the cluster is experiencing more structural stress.
The chart display is intentionally selective. Instead of plotting every pivot line independently, the script concentrates on the nearest relevant clusters and presents them as zones with a backbone line and state label. This is designed to keep the structure readable.
States / Signals
The script uses state-based interpretation rather than directional promises.
Typical state classifications include:
- Stable
- Strengthening
- Balanced
- Under Stress
- Fragile
- Failed
These states are derived from the relationship between survival and pressure. They are meant to describe the condition of the cluster, not to issue a guaranteed trading outcome.
The panel summarizes:
- nearest upper cluster
- nearest lower cluster
- dominant survival side
- cluster pressure
- pivot mix currently included in the model
The script can also generate alert conditions for:
- cluster strengthening
- cluster failure
- cluster reclaim behavior
These alerts are deterministic conditions derived from the script logic. They are informational and should be interpreted within a broader market workflow.
Key Inputs
Pivot Formula
This version is intentionally limited to Classic Pivots in order to keep the clustering and scoring model consistent.
Include Daily / Weekly / Monthly
These settings control which higher-timeframe pivot families are included in the cluster engine.
Cluster ATR Width
Controls how aggressively nearby pivot levels are merged into the same cluster using ATR-based spacing.
Cluster Percent Width
Adds a percentage-based width floor so clusters remain practical across different price scales.
Minimum Levels Per Cluster
Controls how many pivot levels are required before a true cluster is recognized.
Survival Lookback
Defines the observation window used for the durability calculations.
Visual Controls
The script includes settings for cluster visibility, labels, backbone lines, panel location, and font sizes.
Limitations & Transparency
This script is a structural reading tool. It is not a prediction engine.
A high survival score does not guarantee that price will reverse, hold, or trend from that area. A low survival score does not guarantee immediate failure. The values should be read as condition metrics for pivot-derived zones.
Because the script groups pivot levels into clusters, output can vary depending on volatility, symbol characteristics, and timeframe context. On some symbols, one side may show a stronger cluster than the other. On some charts, one side may temporarily rely on a weaker fallback anchor when cluster density is limited.
This script does not attempt to replace market structure analysis, higher-timeframe context, liquidity analysis, or risk management. It is intended to organize pivot confluence into a readable survival framework.
What this script is not:
- not a buy/sell signal engine
- not a guarantee of support or resistance
- not a standalone trade system
- not a future-price prediction model
Risk Disclosure
This script is for chart analysis and decision support only. It does not provide financial, investment, or trading advice. Markets can move unpredictably, and no indicator can eliminate risk.
Users should evaluate signals, states, and cluster conditions together with their own process, timeframe alignment, and risk controls before making any decision.
Indicator
Multi-Factor Regime Scoring & Alerts [HYPR-run]DESCRIPTION:
Composite regime scoring system that fuses eight independent market dimensions into a single normalized Regime Factor (-1 to +1). The sweet spot is the +/-0.2 zone: when the Regime Factor crosses through this zone (dim white circles on chart), the regime just shifted from one side to the other through neutral. That crossover, with the HMA-smoothed Regime Curve sloping in the same direction, is the highest-conviction entry the composite produces. The alerts are built around this: Regime Pivot fires at +/-0.25 with volatility band confirmation.
DISCOVERING EDGE
Pursuing a mechanical edge in entry/exit timing, confirmation and conviction sizing led us to developing an oscillating expression of most of the key criteria we use in building automated strategies. We discovered there is a sweet-spot for higher conviction trades in the +/-0.2 - .+/-0.3 zone. For example if a SFP presents, waiting for the REGIME Factor to enter the zone has a higher probability of trending than if taken earlier. In addition, for earlier reversion trades, XO/XU the outer most levels of +/-0.6 are excellent early entries when following a disciplined sizing methodology.
EIGHT SCORING DIMENSIONS
1. Macro Pivot (+/-10): ROC regime exhaustion into inflection
2. ROC Filter (+/-9): layered rate of change momentum states
3. ADXVMA (+/-9): adaptive trend direction with regime gradient
4. OBVIX (+/-5): on-balance volume, volatility, and trend composite
5. Convergence (+/-7): multi-timeframe alignment across 7 timeframes
6. Mean Reversion (+/-10): blow-off detection and spike revert signals
7. Levels (+/-8): positioning relative to 50d, 200d, 10w moving averages
8. Mechanical Hold (+/-5): price action hold signals with squeeze detection
Macro pivot and mean reversion (+/-10 each) are the heaviest. When both fire in the same direction, they swing the composite by nearly a third of its total range.
HOW TO USE
Add to chart, adjust ADXVMA and Turtle periods to match your setup. Read the Regime Factor, not the price. Above +0.6 = strong bullish; XO/XU these levels for early starter positions. Below -0.6 = strong bearish. The +/-0.2 zone is the sweet spot: crossovers here (dim white circles) mark high-probability entries or confirmation to other set-ups like an SFP. The Regime Curve shows the trend of the regime itself; when the curve slopes against the score, the regime is decelerating.
When the composite is ambiguous (between 0.2 and 0.6), the dashboard tells you why. Macro pivot green but ROC filter yellow = inflection detected, momentum hasn't confirmed. Convergence bright green but ADXVMA yellow = multi-TF aligned but local MA still flat.
CROSS-DIMENSIONAL READS
The power is reading 2-3 dashboard rows together:
- Macro pivot firing while ROC filter still green = earliest warning of trend exhaustion
- "Macro Lc confirmed" + convergence at +5 or higher = highest-conviction reversal entry
- ADXVMA "Early Bull" + convergence at +5 = trend birth signal
- Convergence at +7 = strongest trend confirmation AND trigger for mean reversion detection. Maximum agreement = maximum overextension risk
- "Blow-Off" + "Hodl S" = hold confirmed but reversion loading against you; tighten
- "Legit Squeeze" + "Chopperoni" + convergence +/-5 = compressed energy, directional break coming
- Regime Factor +0.7 but Curve flattening = regime decelerating; leading signal of rollover
ALERTS
Regime Pivot fires when the Regime Factor crosses +/-0.25 with volatility band confirmation; solid arrows on chart. Built around the sweet spot: fires at the regime shift, not after the move has run. Spike Revert fires on mean reversion after blow-off; counter-trend edge from extreme overextension. Toggle each independently. For notifications without webhooks: condition = this indicator, "Any alert() function call", select push/email/popup. For webhook execution: paste endpoint URL, set Open-ended, create.
REGIME FACTOR THRESHOLD ZONES
+0.6 to +1.0 strong bullish (solid green hline)
+0.2 to +0.6 moderate bullish (dotted line)
-0.2 to +0.2 sweet spot entries (dim white circles); XO/XU here
-0.6 to -0.2 moderate bearish (dotted line)
-1.0 to -0.6 strong bearish (solid red hline)
DASHBOARD (9 rows)
1. MACRO PIVOT - Green: Pivoting ↑, Lc ↗ (confirmed), L In Play ↗. Red: inverse. Black: neutral.
2. ROC FILTER - Bright Green: Momentum ↑. Green: Trending ↗ / Rolling Over ↓. Yellow: Continuation / Stage 1 / Reversion. Orange: Exhaustion. White: Sideways. Red/Bright Red: inverse.
3. ADXVMA - Green: D Trend ↗, Trending ↗, Early Bull. Yellow: Pivoting, Consolidation, Chopperoni. Red: inverse.
4. OBVIX - Green: positive. Red: negative. Black: flat.
5. CONVERGENCE - Bright Green: All Lined Up ↑ (7/7). Gradient green: +5 to +6. Dim: +3 to +4. Black: near 0. Red gradient: inverse.
6. MEAN REVERSION - Yellow: Blow-Off, High Potential, Possible. Green: Spike Revert ↑ / MR In Play ↗. Red: inverse.
7. LEVELS - Green: Bouncing key MAs, XO events. Red: Rejecting, XU events. MA combo: above/below 50d, 100d, 200d + 10w anchor.
8. MECHANICAL HOLD - Squeeze gradient: Legit Squeeze / Squeezing. Green: Hodl L. Red: Hodl S. Black: Get Ready / Neutral.
9. REGIME FACTOR - Composite score with gradient color and numeric display.
CREDITS
ADXVMA: Linnsoft
ADX: J. Welles Wilder (1978)
VIDYA: Tushar S. Chande, TASC March 1992
Advance/Decline gradient: LucF
Turtle breakout concept: Richard Donchian Indicator
Multi Timeframe Fractal Map [Herman]Multi Timeframe Fractal Map
This script is a multi-timeframe chart-reading framework that evaluates how the current candle interacts with the previous candle’s range across several timeframes, then combines that higher-timeframe context with intermarket comparison, structural execution levels, and session reference prices on one chart.
The core concept behind the script is a range interaction and acceptance/rejection model:
first, higher timeframe candles are reconstructed on the active chart,
then the current higher timeframe candle is compared with the previous higher timeframe candle,
then the script evaluates whether price is accepting expansion beyond that prior range or rejecting it,
then correlated markets are checked for confirmation or divergence,
and only after that are lower timeframe structural levels used for execution reference.
The script does not generate automated buy/sell orders.
Its purpose is to organize context first and execution second.
Why these components are combined
In discretionary intraday trading, traders often read:
higher timeframe structure on one chart,
range interaction and liquidity events on another,
intermarket confirmation separately,
execution levels on lower timeframes,
and session anchors such as PDH/PDL or Daily Open somewhere else.
This separation can lead to inconsistent interpretation.
This script combines these elements because each one evaluates a specific stage of price behavior: range interaction defines direction, intermarket comparison evaluates confirmation, and lower-timeframe structure is only used after that context is established.
The intended order is:
define higher timeframe structure,
classify current interaction with the previous higher timeframe range,
check whether correlated markets confirm or diverge,
establish current price location using reference levels,
use lower timeframe structural levels only after that context is already defined.
For that reason, the script is not intended as a group of unrelated tools. Each part is included to evaluate a different stage of the same chart-reading process.
1) Higher timeframe candle reconstruction
The script reconstructs multiple higher timeframe candles directly on the active chart.
For each selected higher timeframe, it maintains rolling values for:
open,
high,
low,
close,
and time.
These values are built dynamically from lower timeframe data, so the candles update while they are still forming.
This allows the script to show:
the current developing HTF candle body and wick,
prior completed HTF candles,
current HTF range expansion,
and countdown information for the active HTF candle.
The purpose of reconstruction is to keep higher timeframe structure visible on the execution chart instead of requiring the user to switch layouts.
2) Higher timeframe range interaction model
For each selected higher timeframe, the script compares the current candle with the previous candle’s range.
Using the previous candle as C1 and the current candle as C2, it evaluates:
sweep high when C2 high exceeds C1 high,
sweep low when C2 low breaks below C1 low.
It then evaluates where C2 closes relative to C1:
close above C1 high = acceptance above the prior range,
close below C1 low = acceptance below the prior range,
sweep without close beyond the boundary = rejection / failed expansion.
If neither side is swept, or if both sides are swept without clear directional acceptance, the state is treated as neutral.
This classification defines whether price is:
expanding and being accepted,
expanding but being rejected,
or not interacting with the prior range in a meaningful way.
3) Candle progression logic (Candle 2 / Candle 3)
The script evaluates sequential HTF candle behavior.
Candle 2
A Candle 2 condition is identified when:
the previous candle has a defined direction,
the current candle interacts with the prior extreme (high or low),
and the current candle closes back through or beyond that level.
This marks a potential reversal attempt.
Candle 3
A Candle 3 condition requires:
a valid prior Candle 2,
directional continuation,
and a close condition relative to the prior range (configurable strength).
This marks follow-through after the initial reaction.
The purpose of this progression is to distinguish between:
an initial reaction at a level,
and confirmed expansion following that reaction.
4) HTF classification table
The classification table summarizes the same range interaction logic across all active higher timeframes.
For each timeframe, the script uses:
C2 high, low, close,
and C1 high, low.
Classification rules:
LONG → C2 closes above C1 high
SHORT → C2 closes below C1 low
AVOID → all other cases, including:
both sides swept,
no sweep,
sweep without acceptance.
This output is deterministic and reflects current HTF behavior.
A combined bias is calculated by counting agreement across timeframes.
It summarizes alignment, not prediction.
5) Intermarket comparison (SMT)
The script compares correlated index markets to evaluate confirmation or divergence.
General conditions:
bearish divergence → one market forms a higher high while another does not confirm,
bullish divergence → one market forms a lower low while another does not confirm.
This comparison is aligned with the same reconstructed HTF structure.
Its purpose is to evaluate whether a move is supported across markets or shows relative weakness.
6) Sweep visualization
The script highlights sweep behavior directly on higher timeframe candles.
A sweep occurs when price moves beyond a previous HTF high or low.
The subsequent close determines whether that move is accepted or rejected.
This is part of the same range interaction model and is not a separate signal.
7) CISD structural execution levels
CISD levels are derived from changes in candle direction on lower timeframes, using the open price of the candle where the directional shift occurs.
The script tracks these levels as:
pending → identified but not yet confirmed,
confirmed → price closes beyond the level.
These levels represent local structure and are intended for execution reference only after higher-timeframe context is established.
For example, if a higher timeframe shows acceptance above the previous range and correlated markets confirm the move, a CISD break in that direction can be used as execution alignment.
8) HTF imbalance (FVG)
The script evaluates imbalance using non-overlapping price ranges:
bullish imbalance → earlier high is below a later low,
bearish imbalance → earlier low is above a later high.
If price trades back through the zone, it is considered invalidated.
These zones are shown in the context of reconstructed HTF candles.
9) Reference levels (location)
The script plots:
Previous Day High / Low,
Previous Day midpoint (50%),
Daily Open,
Midnight Open,
4H Open.
These levels define location only and are not used for directional classification.
10) Optional time segmentation
The script can divide the session into fixed time blocks and track their high and low.
This allows observation of:
compression,
expansion,
and failed expansion
within repeated time intervals.
How to use the script
The script is intended to be used in sequence:
Observe higher timeframe candles to define structure.
Evaluate how the current candle interacts with the previous HTF range.
Determine whether expansion is accepted or rejected.
Check intermarket comparison for confirmation or divergence.
Review multi-timeframe classification for alignment.
Use reference levels to determine location.
Use CISD levels for execution only if higher-timeframe context is aligned.
Lower timeframe signals should not be used independently.
Intended use
This script is intended for traders who:
use multi-timeframe analysis,
focus on range interaction and structural behavior,
use intermarket comparison as context,
and require structured decision-making on one chart.
Not intended as
an automated trading system,
a standalone signal generator,
or a guarantee of future performance.
Credits
Portions of the higher timeframe candle reconstruction were adapted from open-source work by Çağrı Dikici and are used with permission.
Disclaimer
This script is provided for analytical and educational purposes only.
It does not constitute financial or investment advice.
All trading involves risk. Indicator
Reaction Entry EngineReaction Entry Engine
Reaction Entry Engine is an open-source supply and demand reaction indicator built around one specific analytical idea:
the first meaningful return into a structurally valid zone can carry different information than later retests of the same area.
This script is not designed to mark every possible touch of every level, and it is not intended to behave like a generic supply and demand overlay that treats repeated interaction the same way. Its purpose is to build supply and demand zones from confirmed pivot structure, optionally validate the strength of the move that created the zone, rank the zone using an internal quality model, detect first-touch reactions, and map those reactions into a structured on-chart framework for analysis and review.
The script also includes review panels so users can inspect how projected setups behaved over time under the current settings. Those review tools are included to support study and comparison, not to imply future performance.
OPEN-SOURCE NOTE
This script is published open-source so users can inspect the logic directly, verify what the script is doing, and adapt parts of the workflow for their own research if they wish.
Even though the code is open, this description is intentionally detailed because many PulseWire users do not read Pine Script. The goal is for a user to understand what the script does, how it works, why its parts belong together, and how it may be used in practice without having to study the code line by line.
OVERVIEW
At a high level, the script does six things:
1. It builds supply and demand zones from confirmed pivot structure.
2. It can source those zones from the chart timeframe, from a higher timeframe, or from both.
3. It can filter weak formations by checking whether the move surrounding the pivot had enough directional strength.
4. It can score zone quality using post-formation displacement, reaction behavior, penetration depth, and repeated-touch penalties.
5. It can detect first-touch reactions into valid zones.
6. It can project entry, stop, and target structure on the chart and summarize projected historical behavior in review panels.
The script is therefore meant to function as a complete first-touch zone reaction framework rather than as a single-purpose zone-drawing tool.
CORE IDEA
Many structural tools identify areas where price may react, but they do not distinguish clearly between the first meaningful return into a zone and later repeated interaction with that same area.
This script is built around the idea that those two situations are not necessarily equivalent.
A fresh or relatively intact zone may behave differently from a zone that has already been tested multiple times. Because of that, the script does not treat all contact events in the same way. It attempts to organize the workflow into a more selective sequence:
first identify structure,
then filter weak structure,
then rank remaining zones,
then focus on the earliest qualifying return,
then map that return into a consistent visual framework for review.
This narrower focus is the main reason the script exists in its current form.
WHY THIS SCRIPT IS NOT A SIMPLE MASHUP
This script combines multiple components, but they are not included simply to place more features into one publication.
Each component has a specific function inside the same analytical process:
- Zone construction defines the structural areas.
- Multi-timeframe sourcing expands or narrows the structural map.
- The impulse filter reduces zones formed without meaningful directional expansion.
- The quality engine separates stronger and weaker structural candidates.
- The first-touch logic makes the model more selective than a repeated-touch zone script.
- The projection layer reduces the need for manual chart annotation after a setup appears.
- The review panels allow the user to examine projected historical behavior under the chosen settings.
These layers are interdependent.
Without the zone engine, there is no structural area to evaluate.
Without impulse validation, the model accepts more weak or noisy pivots.
Without quality scoring, all detected zones are treated too similarly.
Without first-touch logic, the script behaves more like a generic touch-based zone tool.
Without the projection layer, the user still has to manually draw entry, stop, and target structure after each setup.
Without the review layer, the user has less organized feedback when comparing settings or reviewing behavior across time.
For that reason, the script is intended as a single first-touch supply and demand reaction framework, not as a random collection of unrelated features.
WHAT THE SCRIPT DOES
The script identifies supply and demand zones from confirmed pivot highs and pivot lows.
Once a zone is created, the script can continue to monitor it and decide whether it should remain only as a structural reference or whether it qualifies for deeper evaluation inside the reaction framework.
Depending on settings, the script can:
- draw supply and demand zones,
- create zones from the chart timeframe,
- create zones from a selected higher timeframe,
- merge nearby zones of the same type,
- classify zones using an internal quality model,
- detect first-touch BUY or SELL reactions,
- project entry, stop loss, and take profit structure,
- retain historical projected trades on the chart,
- summarize projected behavior in performance and daily review panels.
This allows the chart to function not only as a zone map, but also as a structured review environment for the script’s own reaction model.
HOW THE SCRIPT WORKS
1) SUPPLY AND DEMAND ZONE CONSTRUCTION
The script uses pivot highs and pivot lows to define structural areas.
A pivot high can produce a supply zone.
A pivot low can produce a demand zone.
Rather than treating a pivot as one exact price, the script expands the pivot into a zone using a configurable pip-based thickness. This is important because many traders interpret supply and demand as areas rather than as single lines.
The script can build zones from:
- the current chart timeframe,
- a selected higher timeframe,
- or both at the same time.
If nearby zones of the same type are close enough to one another, the script can merge them into a broader structural area. This is meant to reduce overlap and make the displayed structure easier to read.
2) CONFIRMED ZONE LOGIC
The script includes a minimum-touch setting for confirmed zones.
This setting allows users to distinguish between:
- zones that have merely been detected,
- and zones that have accumulated enough interaction to be considered more established.
Different traders interpret this differently. Some prefer relatively fresh zones. Others prefer zones that have already shown repeated market interaction. The script is designed to support both approaches through settings rather than by forcing one interpretation.
3) TOUCH DETECTION
Zone interaction can be recognized using:
- wick touch,
- body touch,
- or both.
This affects how strict or permissive the model is when determining whether price has returned into a zone.
A wick-based model can capture sharp rejections that only briefly enter the area.
A body-based model is stricter and may reduce noise.
Using both provides broader coverage.
This means the same structural framework can be adapted to different preferences without changing the core logic of the script.
4) IMPULSE VALIDATION
Not every pivot represents meaningful structure.
Some pivots are formed during weak, indecisive, or noisy movement. To reduce that problem, the script can apply an impulse filter around the pivot that created the zone.
The impulse filter can evaluate factors such as:
- candle direction,
- candle range relative to ATR,
- candle body size relative to ATR,
- close location near the candle extreme,
- optional relative-volume participation.
The purpose of this filter is not to predict future direction by itself. Its purpose is simply to reduce zones that were formed without enough directional commitment.
5) QUALITY ENGINE
After a zone is created, the script can score it using an internal quality model.
The quality engine can consider:
- displacement after formation,
- reaction size after the first touch,
- penetration depth into the zone,
- repeated-touch penalty.
That information is then used to classify zones into internal grades such as:
- A,
- B,
- TRASH.
These grades are not guarantees and should not be interpreted as objective truth. They are simply the script’s own ranking method for separating stronger and weaker structural candidates under the current settings.
Users can keep all zones visible or restrict the workflow to higher-grade zones only.
6) FIRST-TOUCH REACTION MODEL
The central idea of the script is first-touch selection.
Rather than treating every revisit of a zone as equally important, the script attempts to detect the earliest qualifying return into a valid zone.
This makes the script more specific than:
- a basic supply and demand overlay,
- a general touch-alert tool,
- or a repeated-contact zone script.
For traders who consider early reactions to be structurally important, this framework may be useful because it intentionally avoids reacting in the same way to every later revisit of the same area.
7) TRADE PROJECTION LAYER
When a valid first-touch reaction is detected, the script can project a structured trade framework on the chart.
Depending on settings, this can include:
- BUY or SELL labels,
- an entry reference,
- stop loss,
- take profit,
- guide lines,
- TP and SL boxes,
- retained historical visual structure for later review.
This projection layer is not meant to claim that a setup will succeed. Its purpose is to reduce manual chart annotation and make the script’s reaction logic easier to inspect after the fact.
8) REVIEW PANELS
The script includes review panels that summarize projected historical behavior.
Depending on available chart history and current settings, the review may include metrics such as:
- total projected trades,
- wins,
- losses,
- win rate,
- profit factor,
- average result,
- net result,
- drawdown behavior,
- streak behavior.
A separate daily panel summarizes projected daily behavior according to the script’s configured timezone logic.
These panels are review tools only. They do not replace formal strategy testing, execution analysis, or live validation, and they should not be interpreted as promises of future performance.
WHAT MAKES THIS SCRIPT ORIGINAL
This script uses familiar technical-analysis building blocks such as pivots, ATR, candle structure, relative range expansion, optional volume comparison, and zone interaction logic.
Those building blocks are not original by themselves.
The originality of this script is not in inventing a completely new primitive indicator. The originality lies in how these familiar elements are arranged into one selective workflow:
pivot-based zone construction
→ optional multi-timeframe structure sourcing
→ impulse validation
→ quality scoring
→ first-touch selection
→ trade projection
→ on-chart review
That full sequence is the main reason this script exists as its own publication.
It is not intended to be simply another pivot tool, another ATR-based filter, or another chart dashboard. It is specifically a first-touch supply and demand reaction framework that combines structure detection, formation filtering, zone ranking, selective reaction logic, projection, and review in one workflow.
WHAT APPEARS ON THE CHART
Depending on settings, the chart may display:
- supply zones,
- demand zones,
- higher-timeframe zones,
- confirmed-zone coloring,
- zone labels,
- zone grades,
- BUY and SELL markers,
- entry / stop / target lines,
- TP / SL boxes,
- review panel,
- daily review panel.
Users who want a cleaner chart can disable some visual layers and keep only the ones most relevant to their workflow.
HOW TO USE THE SCRIPT
A practical workflow is:
1. Add the script to a standard candlestick chart.
2. Decide whether you want zones from the chart timeframe, from a higher timeframe, or from both.
3. Choose how strict touch detection should be by using wick touch, body touch, or both.
4. Enable the impulse filter if you want to reduce weaker pivot-based formations.
5. Enable the quality engine if you want to rank zones and restrict the workflow to stronger structural candidates.
6. Select the minimum accepted grade if you want stricter setup filtering.
7. Wait for a qualifying first-touch BUY or SELL reaction.
8. Use the projected entry, stop, and target structure as an analysis framework rather than as a blind instruction.
9. Review how prior projected setups behaved under the same settings.
10. Combine the script’s output with market context, execution rules, and risk management.
This script is best understood as a structured decision-support and chart-review tool, not as a fully self-sufficient trading system.
SETTINGS REFERENCE
Supply & Demand Engine
- Enable Supply & Demand Engine: turns structural zone detection on or off.
- Show S&D Zones: controls whether zone boxes are visible.
- Pip Value: converts pip-based calculations into instrument-specific price units.
- Pivot Left / Pivot Right: define pivot-confirmation depth.
- Use Chart Timeframe Zones: includes zones from the active chart timeframe.
- Use Higher Timeframe Zones: includes zones from the selected higher timeframe.
- Higher Timeframe: selects the HTF used for additional zone sourcing.
- Minimum Touches for Confirmed Zone: defines when a zone is considered confirmed.
- Zone Thickness (pips): controls zone thickness.
- Zone Merge Distance (pips): controls when nearby zones may be merged.
- Break Close Buffer (pips): defines the close-through buffer used in break logic.
- Maximum Stored Zones: limits how many zones remain in memory.
- Use Wick Touch / Use Body Touch: define how interaction with a zone is recognized.
Impulse Filter
- Enable Impulse Filter: turns pivot-strength filtering on or off.
- Impulse Candle Count: number of candles checked after pivot formation.
- ATR Length: ATR period used by the impulse model.
- Minimum Range x ATR: required range expansion relative to ATR.
- Minimum Body x ATR: required body expansion relative to ATR.
- Close Near Extreme: requires the candle to close near its extreme.
- Require Volume Condition: optionally adds a relative-volume filter.
- Volume SMA Length / Minimum Volume x SMA: control the volume filter.
Quality Engine
- Enable Quality Engine: turns zone scoring on or off.
- Displacement Bars: measures post-formation expansion.
- Minimum Displacement (pips): required structural push after formation.
- Reaction Window (bars): number of bars used to evaluate post-touch behavior.
- Minimum Reaction (pips): minimum bounce or rejection required.
- Maximum Penetration %: limits acceptable penetration into the zone.
- Touch Penalty: reduces score as repeated interaction accumulates.
- Hide TRASH Grade Zones: removes weaker zones from view.
- Show Grade on Zones: displays grade labels on the chart.
- Show Zone Labels / Zone Label Size: control zone-label visibility and size.
Trade Projection
- Enable Simulator: turns first-touch trade projection on or off.
- Take Profit RR: sets the target multiple relative to stop distance.
- Stop Loss (pips): sets the projected stop distance.
- Use Chart TF Signals Only: restricts projected setups to chart-timeframe zones.
- Minimum Grade: defines the lowest accepted grade for projected setups.
- Show Entry / Exit Labels: displays entry and exit labels.
- Show Entry / SL / TP Lines: displays projection lines.
- Projection Length (bars): extends projected visuals into future bars.
- Show TP / SL Boxes: displays TP and SL boxes.
- Box Fill / Border controls: change trade-box styling.
- Show Performance Panel / Panel Position: control review-panel visibility and position.
- Show Daily PnL Panel / Number of Days / Panel Position: control daily-review settings.
IMPORTANT PRACTICAL NOTE ON PIP VALUE
The script uses a Pip Value setting to convert internal pip-based distances into actual price distances.
This matters because different instruments use different decimal structures.
If zones, stop loss, take profit, or projected distances appear too compressed, too large, or otherwise inconsistent for the instrument being analyzed, the first setting to verify is Pip Value.
On some symbols, especially small-decimal forex instruments, this setting may need adjustment for the script’s structural and projection logic to behave as intended.
LIMITATIONS AND SHORTCOMINGS
This script has important limitations:
- It relies on pivot confirmation, so some structural elements are recognized only after a confirmation delay.
- Zone behavior can vary across symbols, brokers, spreads, sessions, and volatility regimes.
- Higher-timeframe zones depend on the selected timeframe and can materially change the number and spacing of setups.
- The quality engine is a ranking model, not an objective truth detector.
- The review panels reflect the script’s own projected logic and settings, not guaranteed tradable outcomes.
- The script can be sensitive to pip-conversion settings on some markets.
- First-touch logic is selective by design, so it may ignore later reactions that some traders would still consider relevant.
- No zone model can remove all false signals or all regime-dependent behavior.
For those reasons, the script should be used as a structured analysis and review framework, not as a promise of future profitability.
WHO THIS SCRIPT MAY BE USEFUL FOR
This script may be useful for traders who:
- study supply and demand behavior,
- care more about first-return reactions than repeated retests,
- want structural filtering rather than raw touch alerts,
- want automatic trade mapping for chart review,
- want historical on-chart review of projected outcomes.
It may be less suitable for traders who:
- want every zone retest marked,
- want a minimal chart with almost no overlays,
- want a finished strategy that requires no outside confirmation or discretion.
DISCLAIMER
This script is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
Market conditions change, historical behavior does not guarantee future results, and users should perform their own analysis, validation, and risk management before using the script in live decision-making. Indicator
Indicator
Intraday Trading Helper Tools**Intraday Trading Helper Tools**
A multi-feature intraday analysis indicator combining Fair Value Gaps, session visualization, key price levels and daily gap detection into a single lightweight script.
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**Fair Value Gaps (FVG)**
Detects and draws bullish and bearish FVGs on the current timeframe. Only the closest N gaps above and below price are shown — filled gaps are removed instantly with fill % tracked live.
- Per-timeframe on/off toggle (1m → 1M) — disabled TFs skip all calculation, not just drawing
- HTF Layers: overlay FVGs from up to 5 higher timeframes (1H, 4H, 1D, 1W, 1M), each showing the single closest gap above and below price
- All layers independently toggleable with custom colors
**Trading Sessions**
Colored background boxes for Sydney, Tokyo, Frankfurt, London and New York with automatic DST adjustment.
- Configurable history in days (separately for 1H and minute TFs)
- Option to merge Sydney + Tokyo into a single Asia box
- Zero calculation cost when sessions are disabled
**Daily Opening Gap**
Real gap detection — fires only when today's open differs from the previous day's close. Visible on all timeframes. Box is deleted automatically the moment price fills the zone. Works correctly on 24/7 markets (crypto) and traditional markets.
**Key Levels**
- *PDH / PDL* — Previous Day High and Low
- *PWH / PWL* — Previous Week High and Low
- *PMH / PML* — Previous Month High and Low
- *DO* — Current Day Open (resets each day)
- *MO* — Current Month Open (resets each month)
All levels independently toggleable with custom colors and labels.
**Extremum Points**
Confirmed swing highs and lows marked with triangle shapes. Configurable pivot strength. Per-timeframe visibility control. Indicator
