Directional Strength OscillatorDirectional Strength Oscillator
A signed trend-strength oscillator that reads the tug-of-war between upward and downward movement and prints one line — positive in uptrends, negative in downtrends, crossing zero at trend changes. Unlike a plain directional reading, it dims itself when price is only chopping, flags weakening trends through divergence, and scores its own signals forward on your chart in plain language.
Why these parts are combined (not a mashup for show). Each part answers what the previous one leaves open. Up-movement vs down-movement relative to true range gives a clean, bounded read of who's winning and by how much — but it can read "strong" inside noisy, non-trending chop. A trend-efficiency filter (net travel over total path) measures whether price is actually going somewhere; folding it into the line removes the false-strong chop. A divergence check (price makes a new extreme while strength does not) flags weakening trends the raw line would miss. Together they form one directional-strength tool.
How it works. Up-movement = |high − prior low|, down-movement = |low − prior high|; each is summed over the length and divided by summed true range to get the up and down lines. Their difference is the raw strength; it's standardized, soft-bounded to ±100, then scaled by a 0–1 trend-efficiency factor. Signals are zero-crosses gated by a minimum quality, plus divergence against price (measured on the undimmed strength). Each signal is then labelled by a triple barrier — a profit target and equal stop in ATR units plus a time limit — so a "win" means the target hit before the stop. Results split into in-sample and recent out-of-sample, with a confidence interval and a multiple-testing check.
How to use. Read the Verdict row (Long/Short signal, Watch, or Wait) and the Conviction row, which reads "High" only when that signal type shows a positive edge that survives the test on this symbol. Green line above zero = uptrend in control, red below = downtrend; shaded bands = strong trend; the trend-quality % tells you how clean the move is. Best used with your own entry and risk plan, not alone.
What's original. The trend-quality gate that removes false-strong chop, integrated divergence on the undimmed line, the forward triple-barrier calibration with an out-of-sample split, and a conviction read that openly admits when there's no proven edge.
Inputs. High/Low sources (change them for any market), reading mode (Simple/Pro), engine, quality-gate, divergence and full calibration settings, and an auto-adapting dashboard legible on dark or light charts. Defaults are tuned for NSE:NIFTY1! intraday.
Honesty & limitations. Edge figures are computed on this chart's own history with overlapping windows and no costs — context, not a guaranteed backtest; past behaviour doesn't predict the future.
Disclaimer: for research and education only. Not financial advice. Trading carries risk of loss; manage your own positions. Indicator

Efficiency Divergence OscillatorEfficiency Divergence Oscillator
## Overview
The Efficiency Divergence Oscillator turns the **signed efficiency ratio** - net price displacement divided by the total path price actually travelled - into a standardized, bounded oscillator, and then looks for **divergence between price and the efficiency of its travel**. The idea it tests: when price makes a new extreme but reaches it on an increasingly choppy, inefficient path, the move is losing conviction.
It is a single-pane oscillator. It needs no external data and no volume. Every data input is user-configurable, so it runs on any symbol, asset class or timeframe, in any market and on any timeframe. Defaults target NSE NIFTY index futures on intraday charts.
## What it plots
- A z-scored **efficiency oscillator** (clean advance = up, clean decline = down, choppy travel = near zero), with a glow line and sigma-based overbought/oversold levels.
- **Extreme-zone bands** (default +/-3 sigma) with a gradient fill that deepens toward the edge.
- **Divergence lines and labels** on the oscillator - regular (reversal) and hidden (continuation), in two colors.
- **In-band reversal dots** where the oscillator turns inside an extreme zone.
- Optional **price-pane marks** at the confirmation bar (all generated by this one indicator).
- A **background-adaptive status dashboard** (oscillator value in sigma, zone, last divergence, last reversal, signed efficiency in %).
## Why these components are combined (mashup rationale)
This script combines a **derived measure**, a **normalization stage**, a **divergence engine** and a **reversal read**, because each answers a question the others cannot and none is useful here alone:
1. **Signed efficiency ratio (path quality).** Momentum tells you how FAR price moved; it does not tell you how DIRECTLY it got there. The signed efficiency ratio = (price - price ) / sum(|price - price |, len), a value in +/-1 that is positive for efficient up-moves and negative for efficient down-moves. It isolates path quality - a dimension a magnitude-only momentum oscillator cannot show.
2. **Standardization (rolling z-score).** efficiency differs in scale across instruments. The z-score expresses it in standard-deviation units, so "overbought/oversold" and the extreme bands mean the same thing on NIFTY, on a commodity future, or on a crypto instrument. Without this step the divergence thresholds would not transfer between symbols.
3. **Divergence engine.** The original payload is reading **price-versus-efficiency disagreement at confirmed pivots**. The engine pairs each new price pivot with the oscillator value, then requires: a genuine new price extreme; the measure failing to confirm it; a minimum oscillator gap scaled to the oscillator own stdev; the two pivots within a maximum bar distance; and optionally an overbought/oversold reading at the pivot. These gates make the combination produce signal rather than noise.
4. **Reversal read.** Independently, the engine flags oscillator turns that occur inside the extreme bands - a complementary exhaustion cue.
Together the components form one pipeline: **build the signal -> make it comparable (z-score) -> surface where price and that signal disagree (divergence) and where it exhausts (reversal).** Each is incomplete alone.
## How it works (method)
efficiency = (price - price ) / sum(abs(price - price ), len) over the efficiency window, a value in +/-1; this is standardized with a rolling z-score to the oscillator.
Regular and hidden divergence are detected from confirmed pivothigh/pivotlow pivots and filtered by the gates above; reversals are oscillator pivots that print inside the extreme bands. Pivots confirm a few bars after they occur, so a printed signal does not repaint. The confirmation lag equals the pivot length.
## How to use it
1. Add the indicator on any chart; no special data is required.
2. Read divergence as **context, not a trigger**: a bearish divergence (price higher high, efficiency lower high) says the advance is getting choppier; a bullish divergence says the decline is. Confirm with your own structure, levels and risk process.
3. Tune the **pivot length**, **max gap** and **min oscillator gap** to your timeframe; raise them for fewer, cleaner signals.
## Originality
This is an original implementation - not a efficiency line and not a generic divergence script, but the specific combination of efficiency, sigma-standardization that makes the read portable across markets, a multi-gate divergence engine (magnitude + distance + extreme-zone), hidden-divergence and in-band reversal detection, and a background-adaptive dashboard. The code is written from scratch; helper functions use only their arguments and built-ins.
## Credits
The Efficiency Ratio was introduced by **Perry J. Kaufman**. **Price/oscillator divergence** is a long-established, publicly documented technical-analysis technique. This script is not affiliated with, nor endorsed by, any third party.
## Notes / limitations
- Efficiency is a path-quality read, not a direction call; in strong clean trends it stays elevated without diverging.
- Divergence is descriptive context, never a guarantee of reversal.
- Confirmation lags each pivot by the pivot length.
## Disclaimer
Research and educational tool only. NOT financial advice and no guarantee of profitability or accuracy. Indicators describe past behaviour; they do not predict the future. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use of this script.
Indicator

Adaptive Momentum Strength Score (AMSS)There is a specific kind of frustration that every serious trader knows.
The setup looks right. The candle closes with conviction. The oscillator confirms. You enter and the move immediately stalls, reverses, or dissolves into noise. Later you realize the volume was weak, volatility never truly expanded, or directional pressure had already started fading before the entry.
That frustration is not a discipline problem. It is an information problem.
Most momentum indicators measure one piece of the puzzle. RSI measures price velocity. Volume indicators measure participation. Bollinger Bands measure volatility state. Each tells part of the story. The Adaptive Momentum Strength Score was built on the conviction that momentum quality can only be evaluated meaningfully when several complementary market forces are read together, not after the fact, but simultaneously, on every bar.
The Core Framework
The purpose of the composite score is straightforward: to answer not just whether price is moving, but whether the move is supported by the conditions that tend to give momentum its staying power.
The score is normalized between 0 and 100 and built from three independent components. The first measures candle impulse relative to ATR not raw candle size, but how decisive the current bar is in the context of what normal looks like for this asset right now. The second measures volume participation by comparing current volume against its moving average, distinguishing genuine momentum expansion from the kind of low-participation drift that precedes failed breakouts far more often than it precedes continuation. The third measures volatility expansion through Bollinger Band width relative to its own average, detecting the transition from compression into expansion as a market begins releasing stored energy.
Each component is independently normalized before combining. By default, volume participation carries the greatest weight of the three — a deliberate choice reflecting the observation that genuine participation tends to be the most reliable differentiator between momentum that follows through and momentum that fades. Candle impulse and volatility expansion carry equal secondary weight, acknowledging that decisive price movement and volatility expansion both contribute meaningfully to momentum quality without either being treated as a primary condition on its own. All weights remain fully adjustable for traders who prefer a different emphasis across different assets or timeframes.
What separates this framework from most traditional oscillators is that momentum strength, directional pressure, market regime, momentum acceleration, and signal confirmation are kept as independent layers that work together while remaining individually interpretable. The goal is not to compress everything into a single binary output but to provide a structured view of how momentum is developing and whether broader conditions are genuinely supportive.
Adaptive Thresholds
A composite score is only as useful as the threshold that determines when it becomes meaningful.
The indicator supports two threshold modes. Fixed mode works cleanly in stable trending environments where volatility expression is consistent. Adaptive mode the recommended default calculates the threshold dynamically using rolling score averages and standard deviation scaling, then clamps it within a defined range. As market character shifts, the threshold recalibrates automatically rather than forcing traders to manually adjust a static level every time volatility conditions change.
The practical consequence is worth understanding directly. In a static-threshold oscillator, a compression phase floods the chart with false crossovers while a genuine expansion phase can produce delayed or missed signals. The adaptive threshold adjusts to both conditions without intervention. The active level is always displayed as the orange reference line, there is never ambiguity about where the signal boundary sits.
The score is additionally classified into Weak, Moderate, and Strong states relative to the active threshold, allowing momentum quality to be evaluated quickly without relying on raw numerical values alone.
Directional Pressure
The score measures momentum magnitude. Direction is handled through a completely separate layer.
Directional bias is established through a two-part confirmation test on every bar. Price must sit on the correct side of a short-period directional EMA, and the average ATR-normalized candle direction over the recent lookback must clear a pressure threshold, meaning a single extended wick or isolated candle cannot flip the directional label on its own. The result is a three-state classification that updates in real time: Bullish, Bearish, or Neutral. This label colors the score line and feeds directly into the signal confirmation logic.
Regime Classification
Not all momentum signals carry equal weight. A score crossover during an expanding market is a categorically different event from the same crossover inside a compressed, coiling environment and treating them identically is one of the more common ways momentum-based approaches produce inconsistent results.
The indicator measures the range of the score over a lookback window and classifies conditions into three states. Compressed means the score has been operating within a narrow band, the market is coiling, energy may be building, and momentum signals in this state generally exhibit lower follow-through and greater variability, although strong expansions can emerge from prolonged compression. Balanced reflects normal trending or ranging conditions. Expanding means the score range has broken above the expansion threshold the market is releasing energy, and momentum signals carry stronger continuation characteristics during this state.
Regime classification can be applied as a filter to triangle signals or used purely as context within the dashboard.
Momentum Velocity
Knowing where the score is tells you the current momentum level. Knowing how fast it is changing tells you something more useful, where momentum is likely heading before price makes it obvious.
The velocity engine calculates the rate of change of the score relative to its own standard deviation, producing a normalized reading that classifies momentum as Accelerating, Decelerating, or Flat. When the score is rising rapidly against its recent volatility baseline, conditions are classified as Accelerating. When the score is fading even if it remains above the threshold the label shifts to Decelerating, and the score line renders at reduced opacity as a visual signal that underlying momentum may be exhausting before price visibly reacts.
For traders who have held into momentum reversals that showed no obvious price-level warning, this layer provides an early internal warning signal within the indicator's architecture that conditions are beginning to shift.
Two Signal Tiers
The indicator produces signals on two distinct levels, and the distinction between them is worth understanding precisely.
Threshold dots appear whenever the score crosses the active threshold while directional pressure is already aligned. They are intentionally sensitive as early directional momentum awareness signals indicating that conditions are beginning to strengthen, even though the broader filter stack may not yet be confirmed. Experienced traders use them to shift attention and begin evaluating whether a fuller setup is developing.
Triangle signals are the fully confirmed output. A triangle only appears when the score crosses the threshold, directional pressure agrees, and every enabled filter in the active gate stack also confirms simultaneously. This is not a smoothed version of the dot signal. It is a categorically different signal type representing the convergence of multiple independent conditions at the same moment.
The separation is deliberate. Dots keep traders informed of developing momentum. Triangles reserve the strongest visual output for the moments that genuinely earn it.
The Signal Gate Stack
Before any triangle reaches the chart it passes through up to four independent gates, stackable in any combination.
The current-timeframe EMA filter blocks signals running counter to local trend structure. The higher-timeframe EMA filter adds a structural second opinion from a broader timeframe, 4-hour by default with an option to use only confirmed closed bars to avoid incomplete higher-timeframe calculations. The regime filter restricts signals during compressed conditions or limits them to expanding phases only. The cooldown gate enforces a minimum bar gap between consecutive signals, suppressing the cluster of repeat triggers that commonly fire around a single momentum event and dilute signal quality.
The dashboard always displays exactly which gates are active. Traders never need to guess why a triangle did or did not appear, the filter logic is visible at all times.
Reading the Indicator: A Practical Workflow
1. Assess market regime first . Check the Info Table before anything else. Compressed conditions mean the score has been coiling in a tight range crossovers here often require greater selectivity, as follow-through tends to be less reliable until expansion begins, and participation should be approached more selectively. Expanding conditions deserve closer attention, as momentum signals generally carry stronger continuation characteristics during these phases.
2. Verify directional alignment. Confirm that the score line color and the Direction label in the dashboard match your intended trade direction. A technically valid score crossover against prevailing directional pressure is a lower-quality setup by design.
3. Watch for the threshold dot on the score pane . A small circle plots on the score line the moment momentum crosses the active threshold while directional pressure is already aligned. This is your early awareness signal. It means conditions are beginning to strengthen, but the broader confirmation stack may not yet be complete. Use it to shift attention to the price chart, not necessarily to trigger execution.
4. Wait for the triangle on the price chart . The triangle is the confirmed execution signal. It only appears when the score has crossed the threshold, directional pressure agrees, and every enabled gate in your active filter stack has confirmed simultaneously. Depending on your settings, this may include EMA alignment, regime validation, and cooldown logic. No triangle means at least one required condition has not been met, regardless of how the score looks in the pane below.
5. Check momentum velocity before entry. An Accelerating label at the point of the triangle adds meaningful weight to the setup. A Decelerating label on an otherwise valid triangle is a caution not necessarily a reason to avoid the trade, but a reminder that momentum quality may be less aggressive, follow-through may develop more gradually, or reversal risk may be beginning to increase.
6. Manage the trade with velocity as context, not as a standalone exit signal . If the score remains above or near the threshold but the line has dimmed signaling Decelerating momentum the move may be losing force even while price continues in the same direction. This does not automatically invalidate the trade or imply immediate exit. Instead, use velocity as an additional layer of context alongside price structure, trend conditions, and your existing risk-management framework.
What This Indicator Is Designed For
The Adaptive Momentum Strength Score is not a standalone trading system and does not attempt to be one. It is a momentum context engine — a structured framework for evaluating whether the conditions behind a price move reflect genuine strength and participation or whether they represent the kind of isolated, low-quality momentum that tends to produce less reliable continuation.
Every design decision in this script traces back to a single conviction: durable edge in trading does not come from reacting faster to a single signal. It comes from reading multiple independent market forces simultaneously and acting only when they converge. That is what this indicator was built to do and that is the only thing it claims to do well.
My Scripts/Indicators/Systems are for educational purposes only! Indicator

Hull MA Trend Zones [AGPro Series]Hull MA Trend Zones
📌 Overview
Hull MA Trend Zones is a premium HMA trend overlay built for traders who want a cleaner way to read Hull Moving Average direction, slope quality, and pullback behavior.
The script is centered on one clear idea: a strong HMA trend should not only move above or below a moving average; it should show measurable slope, orderly ribbon structure, and controlled pullback behavior around the active HMA path.
Instead of presenting a crowded moving average wall, the script uses a focused three-line HMA structure, a subtle pullback band, and concept-native trend zones that are tied directly to the active Hull MA state.
⚙️ How It Works
The engine calculates a fast HMA, an anchor HMA, and a slow HMA.
The anchor HMA is the main decision line. Its slope is normalized with ATR so the script can judge whether the current Hull MA movement is weak, transitional, or directional.
The ribbon structure then checks whether the fast, anchor, and slow HMA lines are aligned. This separates clean trend movement from mixed or unstable movement.
Finally, the pullback layer evaluates whether price is extending away from the HMA, testing the HMA zone, holding the HMA zone, rejecting from the HMA zone, or failing the active trend path.
🧭 What The Script Shows
- HMA ribbon for clean trend direction.
- ATR-based HMA pullback band around the anchor HMA.
- Rectangular HMA slope zones created from active directional states.
- Confirmed, quality-gated Bull Turn and Bear Turn labels.
- Optional Hold and Reject labels for pullback events.
- A compact AGPro panel with HMA State, Slope Strength, Pullback Status, and Quality Score.
📊 AGPro Panel
The panel is designed for fast scanning without taking over the chart.
HMA State shows whether the active read is bullish, bearish, transitional, or neutral.
Slope Strength converts the anchor HMA slope into a clear percentage-style reading.
Pullback Status explains whether price is extending, testing, holding, rejecting, or failing the HMA trend zone.
Quality Score combines slope strength, ribbon alignment, and pullback behavior into a single 0-100 reading.
🎯 What Makes It Different
Hull MA Trend Zones is not a generic moving average ribbon, not a ribbon compression map, and not a broad support/resistance tool.
Its focus is narrower and more practical: HMA slope, HMA trend-zone behavior, and pullback-to-HMA quality.
The rectangular zones are not drawn as generic support or resistance. They are HMA slope zones created from the active trend state and the ATR-sized HMA pullback area. This keeps the script visually useful while avoiding overlap with broader zone, corridor, or compression-style indicators.
The default visual design is intentionally restrained. Pullback labels are optional, turn labels require confirmation and a minimum quality score, and old zones are capped so the chart keeps a cleaner premium look on both intraday and higher-timeframe charts.
🔧 Key Settings
Fast HMA Length controls the responsive side of the ribbon.
Anchor HMA Length controls the main trend path, slope state, pullback band, and panel logic.
Slow HMA Length helps identify whether the HMA ribbon is aligned or still transitional.
Slope Lookback and Trend Slope Threshold control how selective the HMA state engine is.
Zone Width ATR controls the height of the HMA pullback band and slope-zone area.
Zone Forward Bars controls how far the active slope zone projects while the same trend state remains valid.
Turn Confirmation and Minimum Turn Label Score control how selective the default turn labels are.
Label Cooldown Bars, Max Visible Labels, and Label Offset ATR keep chart density suitable for publication-quality screenshots.
Panel Location, Panel Theme, Label Font Size, and Panel Font Size are adjustable.
✅ Suggested Use
Use Hull MA Trend Zones to study trend continuation, Hull MA pullback quality, HMA slope transitions, and cleaner moving-average trend behavior.
It is especially useful when you want an HMA-focused overlay that remains readable on active charts and avoids the clutter of large multi-average systems.
The script is designed as a public-free AGPro Series tool with a clean visual identity, a focused HMA concept, and a PulseWire-safe publication structure. Indicator

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

AG Pro ADX Trend Pressure [AGPro Series]AG Pro ADX Trend Pressure
Overview / What it does
AG Pro ADX Trend Pressure is an overlay indicator that reframes ADX from a simple trend-strength reading into a pressure-state model. Instead of asking only whether ADX is high or low, the script evaluates how directional pressure is building, persisting, fading, or transitioning. The goal is to make ADX-based information easier to interpret directly on the price chart.
This script is designed for traders who want more structure than a standard ADX line, but without turning the chart into a fully automated signal engine. It combines ADX behavior, DI dominance, persistence, and cooling behavior into a state-driven visual framework. The result is a chart-first tool that emphasizes current pressure conditions rather than isolated threshold events.
The indicator uses a compact pressure ribbon, state labels, background zones, and a summary panel to show whether the market is in Compression, Early Expansion, Bull Pressure, Bear Pressure, Exhaustion, or Transition. These states are not predictions. They are structured interpretations of directional pressure conditions based on the current and recent bar sequence.
Because the script is plotted directly on the chart, it is intended to help with visual context, workflow organization, and directional reading. It can be used as a companion layer for discretionary analysis, structure work, trend continuation review, or pressure-fading observation.
Unique Edge
The main distinction of this script is that it does not present ADX as a standalone oscillator. Instead, it treats ADX as one component inside a broader pressure-state engine.
Its core difference is the shift from:
- “ADX is high or low”
to:
- “directional pressure is building”
- “directional pressure is confirmed”
- “pressure is cooling”
- “dominance is fading”
- “state transition risk is rising”
That distinction matters because many ADX-based tools stop at strength confirmation. This script tries to describe the condition around that strength: whether it is forming, maturing, weakening, or rotating.
Methodology
The script is built around a composite pressure score derived from several internal components:
1) ADX level
The script evaluates the current ADX value as a measure of directional strength participation.
2) ADX slope
It also measures whether ADX is accelerating or decelerating. This helps distinguish between pressure expansion and pressure cooling.
3) DI dominance
The spread between +DI and -DI is used to determine whether one side is meaningfully dominant, rather than merely fluctuating.
4) Persistence
Directional pressure becomes more meaningful when dominance remains intact across multiple bars. The script therefore normalizes persistence and includes it in the state logic.
5) Cooling behavior
The model penalizes conditions where momentum of pressure is fading, DI separation is shrinking, or a prior strong phase is losing quality.
These components are blended into a normalized pressure score and then interpreted through rule-based state conditions.
Pressure States
Compression
Used when ADX is relatively weak, DI separation is limited, and the directional structure is not sufficiently active.
Early Expansion
Used when pressure begins to build but has not yet qualified as confirmed directional pressure.
Bull Pressure
Used when bullish directional dominance is active and the pressure score is strong enough to confirm a bullish pressure phase.
Bear Pressure
Used when bearish directional dominance is active and the pressure score is strong enough to confirm a bearish pressure phase.
Exhaustion
Used when a previously strong pressure phase begins to cool materially and loses quality without yet becoming a clean opposite pressure phase.
Transition
Used when dominance quality deteriorates, directional structure rotates, or the market appears to be moving between pressure states.
Visual Structure
The script uses several chart elements to organize the pressure reading:
Pressure Ribbon
A compact ribbon below price summarizes the active pressure state without requiring a separate pane.
Pressure Curve
The center curve makes the pressure structure easier to read visually and helps distinguish calm phases from active directional phases.
State Labels
Labels appear only on state changes, helping reduce repeated label noise while still marking meaningful transitions.
Background Zones
Optional background zones provide broader regime context for stronger phases.
Summary Panel
The panel reports:
- State
- Pressure Score
- Directional Bias
- Pressure Phase
- Persistence
- Cooling Risk
These fields are intended to help the user interpret the current environment quickly without depending on a single line crossing or a single fixed threshold.
How to use it
This indicator is best used as a contextual tool rather than a standalone trade trigger.
Examples of practical use:
- Identify when a directional move is only beginning to organize
- Separate confirmed pressure from weak expansion
- Observe when a mature pressure phase begins to cool
- Spot when directional quality is fading into transition
- Add structure to trend-following or pullback workflows
Some users may prefer to read Bull Pressure and Bear Pressure as confirmation states, while using Early Expansion and Transition as cautionary context. Others may use Exhaustion to review whether a strong move is beginning to lose internal quality. The script does not enforce a single interpretation model.
Signals & Alerts
The script includes deterministic alert conditions for:
- Bullish Pressure Building
- Bearish Pressure Building
- Pressure State Shift
- Pressure Cooling
- Transition Risk Rising
These alerts are state-based notifications. They are not promises of continuation, reversal, or outcome. Their purpose is to notify the user that the internal pressure regime has changed according to the script’s rules.
Key Inputs
ADX Length
Controls the primary ADX and DMI calculation length.
DI Smoothing
Applies smoothing to directional movement components before pressure analysis.
Pressure Threshold
Sets the score level required before directional pressure can be confirmed.
Neutral ADX Threshold
Defines the area where the script becomes more willing to classify conditions as compression instead of directional pressure.
Cooling Sensitivity
Controls how quickly the script responds to deteriorating pressure structure.
Transition Sensitivity
Controls how readily the script recognizes potential regime rotation or dominance loss.
Persistence Length
Defines how persistence is normalized in the internal score model.
Minimum DI Gap
Sets the minimum meaningful separation between +DI and -DI.
Curve Smooth Length
Adjusts how smooth or reactive the pressure drawing appears on the chart.
Visual Controls
The script also includes display settings for:
- Pressure Ribbon
- Pressure Curve
- Active Pressure Spotlight
- Background Zones
- State Labels
- Label Size
- Panel Theme
- Panel Font Size
- Panel Position
Limitations & Transparency
This script is not a prediction model.
It does not forecast future price direction.
It does not guarantee trend continuation.
It does not guarantee reversal timing.
It does not replace risk management.
Like all state-based indicators, it can respond differently depending on volatility regime, market structure, timeframe, and instrument behavior. Strong trends, choppy ranges, and abrupt news-driven moves may produce very different state sequences.
The pressure score is an internal composite reading. It should not be interpreted as a universal probability measure. A score of 70 does not mean a 70 percent chance of success. It only means the current internal pressure components are stronger than they were in lower-score conditions.
Users should also be aware that background context and label placement are visual aids. The most important output is not the label itself, but the broader relationship between state, pressure score, bias, and how the curve behaves through time.
Who this script may be useful for
This script may be useful for traders who:
- already use ADX or DMI and want more chart context
- want a state-based trend pressure overlay
- prefer workflow tools over one-click signal tools
- want a compact visual reading of directional pressure behavior
It may be less suitable for users looking for a pure oscillator pane, a fully automated strategy, or a single-entry single-exit signal framework.
Risk Disclosure
This indicator is for chart analysis and workflow support only.
It is not financial advice.
It should not be treated as a standalone trade instruction.
Markets are risky, and no indicator can eliminate uncertainty.
Use independent judgment, confirm with your own process, and apply risk management appropriate to your market and timeframe.
Indicator

TetraTrend Engine [MarkitTick]💡 The TetraTrend Engine is an advanced, multifaceted overlay indicator designed to provide traders with a comprehensive view of market structure, trend direction, and institutional liquidity levels. By capturing and freezing critical moving average data at a user-defined moment in time, it transforms lagging indicators into static support and resistance frameworks. Furthermore, it integrates a sophisticated Multi-Timeframe (MTF) confluence matrix, ADX-based chop filtering, and dynamic position sizing, making it a complete suite for methodical trade execution. Please note that if applied to non-standard charts (like Heikin Ashi or Renko), the script's calculations may repaint.
✨ Originality and Utility
Standard moving averages constantly adjust to new price data, which is useful for trailing trends but less effective for identifying historical break-and-retest zones. This script introduces a novel "Freeze Point" mechanic. At a specific, fixed date and time, the engine captures the exact values of four distinct moving averages and the Average True Range (ATR). These values are then projected forward as horizontal levels, creating a persistent architectural map of the market based on a fundamental historical event (like an earnings report, macroeconomic news release, or structural pivot). Combined with an Auto-Anchored VWAP that automatically initiates from this exact freeze date, it offers a highly unique, institutional-grade perspective on volumetric average price versus static historical momentum.
🔬 Methodology and Concepts
● Core Trend Identification
The indicator calculates four separate moving averages, with default lengths of 20, 50, 100, and 200.
Users can toggle the calculation method between Simple (SMA), Exponential (EMA), Weighted (WMA), and Volume-Weighted (VWMA) moving averages.
● The Freeze Engine
A timestamp is set by the user (defaulting to a specific date like "2025-12-31 23:59").
Once the market time crosses this threshold, the script triggers a state where calculations are locked.
It records the exact values of the four MAs and the 14-period ATR at that exact candle.
● Institutional Confluence and Risk Matrix
The script checks higher timeframe (HTF) trend alignment using a primary HTF filter (defaulting to Daily).
An optional MTF Matrix requires alignment across three custom timeframes (e.g., 240m, Daily, Weekly) before validating any bullish signals.
It incorporates an ADX threshold (default 20.0) to filter out choppy, ranging markets, ensuring signals are only generated during periods of active momentum.
🎨 Visual Guide
● Chart Overlays and Lines
MA 1 (Length 20): Plotted in bright Cyan (#00E5FF).
MA 2 (Length 50): Plotted in Teal (#14B5CB).
MA 3 (Length 100): Plotted in Royal Blue (#2979FF).
MA 4 (Length 200): Plotted in Purple (#AA00FF).
Freeze Marker: A vertical line (default Dashed, colored Gray/Blue) denotes the exact moment the historical levels were captured.
Anchored VWAP: If enabled, an Orange line (#FFB74D) plots the volume-weighted average price starting precisely from the Freeze Marker.
● Dynamic Liquidity Zones
If enabled, semi-transparent shaded bands appear around Frozen Level 1 and Frozen Level 4.
These bands represent a distance of 0.5 * Frozen ATR, illustrating expected volatility boundaries at the time of the freeze.
● Analytics Dashboard
A heads-up display table is drawn in the top-right corner, displaying a dark theme with blue/gray borders.
It lists the HTF Trend Status (Bullish in Green, Bearish in Red).
It displays the current Market State (Trending/Active vs. Chop/Low Vol) based on the ADX.
It shows current Volatility (ATR) and ADX Strength.
If enabled, it outlines the MTF Matrix Status and the mathematically calculated Dynamic Position Size.
● Signal Shapes and Labels
A green triangle pointing up (#00E676) plots below the bar when a valid Long signal is generated.
Dynamic labels attach to the right side of the frozen levels, constantly updating to show the MA length and exact price level.
📖 How to Use
● Setting the Anchor
Identify a major market event on your chart (a swing high/low, a CPI data release, or a sudden volume spike).
Open the settings and input the exact date and time of this event into the "Fixed Date/Time (Freeze Point)" input.
● Interpreting Signals
Wait for the market to interact with the freshly drawn horizontal frozen levels.
A valid Long signal (Green Triangle) will only trigger if: the price crosses above Frozen Level 1, the HTF trend is bullish, the market is not ranging (ADX > threshold), and the optional MTF matrix is fully aligned.
Monitor the Analytics Dashboard table to ensure the broader market environment supports the trade setup.
⚙️ Inputs and Settings
• Moving Average Settings
Length 1 through 4: Adjust the lookback periods for the core trend calculation.
MA Type: Dropdown to select the mathematical smoothing method (SMA, EMA, WMA, VWMA).
• Advanced Filters & Risk
Primary HTF Filter: Determines the baseline higher timeframe to establish the primary trend direction.
ADX Chop Filter Threshold: Sets the minimum ADX value required to consider the market "trending" rather than "ranging".
Risk/Reward Ratio: A multiplier used to automatically calculate Take Profit 1, 2, and 3 targets based on the dynamically calculated Stop Loss distance.
• Institutional Features (Optional)
Enable Auto-Anchored VWAP: Anchors a VWAP strictly starting from the chosen Freeze Date.
Enable MTF Confluence Matrix: Requires alignment across three separate, user-defined timeframes.
Enable Dynamic Position Sizing: Inputs for Account Size ($) and Risk Per Trade (%). The script uses the ATR-based stop loss to output exact contract/share sizing required to maintain strict risk parameters.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The TetraTrend Engine leverages several established quantitative and statistical concepts to derive its signals. Moving averages serve as low-pass filters, dampening high-frequency market noise to reveal the underlying directional component of the time series. By capturing these values statically at a user-defined vector (the Freeze Point), the script transitions from dynamic time-series analysis to fixed architectural support/resistance theory, positing that historical mean values at critical temporal nodes retain psychological and institutional relevance.
Furthermore, the integration of the Average Directional Index (ADX) relies on the statistical measurement of trend velocity and momentum dispersion. The ADX component acts as a volatility gatekeeper, mathematically ensuring that the standard deviation of directional movement exceeds a baseline threshold before capital is deployed. Position sizing calculations utilize the Average True Range (ATR)—a measure of absolute price dispersion—to dynamically scale risk exposure inversely to market volatility, ensuring normalized risk parity across varied market environments.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator

Momentum Lifecycle Detector [BullByte]Momentum Lifecycle Detector
An early trend detection oscillator that tracks momentum through five lifecycle phases - from birth to death - using DI spread acceleration analysis . Designed to identify momentum ignition before traditional ADX signals, and warn of trend exhaustion before it becomes obvious.
WHAT THIS INDICATOR DOES
The Momentum Lifecycle Detector (MLD) is a momentum oscillator with integrated trend phase classification. It answers the question every trend trader needs answered: "Where in its life is this momentum right now?"
Most trend strength indicators tell you a trend exists after the move is already underway. ADX crossing above 25 is a lagging confirmation. MLD solves this by detecting the birth of momentum at the earliest mathematically identifiable point, then tracking that momentum through five distinct lifecycle phases until it dies.
The indicator displays:
An ATR-normalized momentum oscillator (the main line you follow)
A signal line for crossover analysis
A histogram showing momentum-signal divergence
A colored lifecycle band showing the current phase
Consolidation zone boxes marking coiled energy before breakouts
A reversal atmosphere glow when momentum curvature suggests reversal
A dashboard summarizing momentum conditions at a glance
Adaptive dead zone and choppy market warnings
THE PROBLEM THIS SOLVES - WHY TRADERS NEED EARLY TREND DETECTION
Traditional ADX tells you a trend is strong when it crosses above 25. By that point, the optimal entry window has often closed. Conversely, ADX gives no clear warning when a trend is dying - it just slowly rolls over after the move has already reversed.
The core innovation in MLD is measuring the acceleration of the gap between +DI and -DI. Here is the mathematical logic:
Spread = |+DI minus -DI| - How far apart are bullish and bearish pressure?
Velocity = Spread minus Spread - Is that gap widening or narrowing?
Acceleration = Velocity minus Velocity - Is the widening itself speeding up?
When acceleration is positive and velocity is positive while ADX is still low, a new trend is actively forming. This is the mathematical fingerprint of momentum at birth - detectable bars before ADX would give any signal.
WHY THESE SPECIFIC COMPONENTS - JUSTIFICATION FOR THE INTEGRATION
This indicator combines several analytical methods into a unified lifecycle detection framework. Each component serves a specific, non-redundant purpose. Here is why each exists:
Zero-Lag EMA Momentum Oscillator
Purpose : The primary visual output traders watch and trade.
Method : Difference between fast ZLEMA (default 9) and slow ZLEMA (default 21), divided by ATR, multiplied by 100.
Why ZLEMA : Standard EMA lags behind price. ZLEMA compensates by adding the difference between the current price and its lagged value before smoothing. This produces earlier momentum readings without adding noise.
Why ATR normalization: Raw price differences are not comparable across instruments. A 5-point move means something different on a $10 stock versus Bitcoin. Dividing by ATR makes oscillator readings universal - a reading of +50 represents the same relative momentum strength on any chart, any timeframe.
Gaussian-Weighted Directional Indicators
Purpose : Feed responsive directional data into the lifecycle detection engine.
Method : Instead of standard Wilder smoothing for +DI and -DI, a Gaussian (bell-curve) decay function applies exponentially more weight to recent bars. The formula is exp(-(n/len)^2).
Why Gaussian weighting : Standard DI treats all bars in the lookback equally. A directional move from 14 bars ago counts the same as one happening now. Gaussian decay makes DI inherently more responsive to fresh moves without shortening the period (which would increase noise).
ZLEMA-Smoothed ADX
Purpose : Trend strength measurement for phase classification.
Method : DX calculated from Gaussian-weighted DI values, smoothed with ZLEMA instead of traditional Wilder smoothing.
Why ZLEMA-smoothed: Standard Wilder-smoothed ADX is deliberately sluggish by design. For lifecycle detection, we need ADX that responds faster to "waking up" and "rolling over" behaviors that define phase transitions.
DI Spread Acceleration Engine
Purpose : The core innovation - detects momentum birth before ADX confirms.
Method : Calculates the absolute spread between +DI and -DI, derives its velocity (first derivative) and acceleration (second derivative), smooths both with 3-period EMA.
Why this matters: This is what differentiates MLD from existing ADX-based tools. Acceleration of the DI spread is a leading indicator. By the time ADX crosses a threshold, spread acceleration has already been positive for multiple bars. This enables IGNITION detection before traditional signals fire.
Kaufman Efficiency Ratio
Purpose : Regime filter that warns when conditions are choppy.
Method : ER = net price movement divided by total price movement. Values near 1.0 mean efficient directional movement. Values near 0.0 mean price went back and forth without progress.
Why included: Momentum oscillators generate false signals in ranging markets. When ER is low, ADX is weak, and momentum sits inside the dead zone, the background turns gray - warning traders that conditions do not support directional strategies.
Momentum Curvature Analysis
Purpose : Early warning of potential reversals via oscillator curvature.
Method : Second derivative of momentum (how the slope is changing). When momentum is negative but curving upward (positive curvature with positive slope), bullish pressure is building from underneath before the trend visibly reverses. Strength is normalized against 30-bar standard deviation of curvature.
Important : This is purely mathematical curvature of the plotted oscillator. It does not use order flow, volume profile, bid/ask data, or any external source. The term "atmosphere" is a visual metaphor for the glow effect.
These components form an integrated pipeline - they are not independent indicators placed on the same pane. The oscillator provides visual momentum reading, Gaussian DI and ZLEMA ADX feed the lifecycle engine, spread acceleration detects phase transitions, ER provides regime context, and curvature adds reversal awareness. Each output feeds downstream components.
THE FIVE LIFECYCLE PHASES - DETECTION LOGIC EXPLAINED
The lifecycle band at the bottom displays one of five phases. Each has specific mathematical conditions that must all be true simultaneously. A state machine with configurable inertia prevents rapid flickering.
IGNITION - Cyan Band
Conditions : DI crossover within last N bars (default 4), spread acceleration above threshold (default 0.2), spread velocity above threshold (default 0.3), ADX rising for two consecutive bars.
Meaning : Momentum is being born. DI lines just crossed, the gap is accelerating open, ADX is waking. This is the earliest actionable signal. ADX may still be below 20.
State machine : IGNITION transitions instantly (1-bar inertia) because early detection speed matters.
THRUST - Green or Red Band (direction-coded)
Conditions : Past ignition window but within 3x that window, spread velocity above threshold (default 0.5), ADX surged more than threshold (default 1.5) over 3 bars.
Meaning : Young trend gaining real power. Spread velocity is high, ADX is confirming with a surge. The trend is no longer hypothesis - it is building strength.
State machine : THRUST transitions instantly.
PRIME - Deeper Green or Red Band (direction-coded)
Conditions : ADX above strong threshold (default 20), ADX either rising or above its signal line, DI spread above minimum (default 10).
Meaning : Mature, established trend. Maximum directional strength. Most productive phase - but also where exhaustion can begin. Use trailing stops.
State machine : Requires configured inertia (default 2 bars) before transition.
FADING - Orange Band
Conditions : ADX above strong threshold BUT falling AND below its signal line, OR ADX strong but spread velocity sharply negative (below -0.5).
Meaning : Trend is dying. ADX rolling over, DI gap closing. Time to tighten stops, take partials, prepare for next cycle.
State machine: Requires configured inertia before transition.
DEAD - Dark Gray Band
Conditions : None of the above active.
Meaning : No meaningful directional momentum. Market ranging, consolidating, or in transition. Directional strategies unlikely to perform well.
HOW TO READ THE OSCILLATOR PLOT
Momentum Line (thick, color-coded)
Bright green : Momentum positive and rising (bullish, strengthening)
Faded green : Momentum positive but falling (bullish, weakening)
Bright red: Momentum negative and falling (bearish, strengthening)
Faded red : Momentum negative but rising (bearish, weakening)
Gray : Momentum inside dead zone (noise, not signal)
Signal Line (thin orange)
EMA of momentum. Crossovers between momentum and signal highlight directional shifts, similar to MACD signal line usage.
Momentum-Signal Fill (shaded area between the two lines)
Teal shading: Momentum above signal (bullish bias)
Maroon shading: Momentum below signal (bearish bias)
This fill provides instant visual recognition of which line is dominant.
Histogram (vertical columns at zero line)
Shows the gap between momentum and signal.
Bright columns: Gap expanding (momentum pulling away, trend strengthening)
Faded columns: Gap contracting (momentum converging, trend weakening)
Green: Momentum above signal. Red: Momentum below signal.
Dead Zone (gray horizontal band around zero)
Dynamically calculated as a multiple (default 0.5x) of momentum's 50-bar standard deviation.
When momentum is inside this zone, directional signals are unreliable - the reading is within normal noise range.
Zero Line (dotted horizontal)
Momentum above zero: Net bullish pressure
Momentum below zero: Net bearish pressure
Zero line crosses represent directional bias shifts.
CONSOLIDATION ZONES - COILED ENERGY BEFORE BREAKOUTS
Yellow boxes appear on the oscillator when momentum energy is coiling - a potential precursor to a strong directional move.
Detection Logic
Two conditions must be simultaneously true:
Histogram (momentum-signal gap) is unusually tight relative to its recent 50-bar standard deviation.
Momentum slope is unusually flat relative to its recent 50-bar standard deviation.
Both thresholds are adaptive - they automatically adjust to each instrument's typical behavior. This means the indicator detects relative consolidation, not absolute levels, making it equally effective on volatile crypto and stable bonds.
Zone Lifecycle
New zone starts as dotted-border, light yellow box.
If it persists for minimum bar count (default 5), it upgrades to solid-border, brighter yellow - a validated zone.
If momentum drifts too far from where zone started (exceeds drift tolerance relative to zone height), the zone is invalidated and deleted. This prevents slow trends from being falsely labeled as consolidation.
When zone breaks (convergence conditions end), box color changes based on breakout direction: teal for bullish breakout, maroon for bearish breakout.
Only one active zone exists at a time to keep the chart clean.
How to Trade It
Validated consolidation zones (solid border) represent coiled momentum. Breakouts from these zones, especially when accompanied by IGNITION or THRUST phase, often produce strong directional moves. The breakout color immediately tells you the direction.
REVERSAL ATMOSPHERE - CURVATURE-BASED REVERSAL WARNING
A soft colored glow appears around the momentum line when mathematical curvature suggests a reversal is forming.
How It Works
The indicator calculates the second derivative of momentum (curvature - how the slope itself is changing).
Bullish reversal detection: Momentum is below zero (bearish), but slope has turned positive (rising), and curvature is positive (the rise is accelerating). This is the mathematical signature of a bottom forming - momentum is still negative but fighting back.
Bearish reversal detection: Mirror image. Momentum is above zero, but slope is negative and curvature is negative. A top is forming.
Visual Output
Green glow: Bullish reversal pressure building
Red glow: Bearish reversal pressure building
Glow intensity increases with curvature strength, normalized against 30-bar standard deviation
Glow width is configurable (default 8 units)
Important Clarification
This is purely mathematical analysis of the oscillator's own curvature. It does not incorporate order flow data, market depth, bid/ask spreads, or any external data source. The term "atmosphere" is a visual metaphor describing the glow effect, not a claim about market microstructure.
CHOPPY MARKET BACKGROUND - REGIME WARNING
When three conditions are all simultaneously true, the pane background turns gray:
Efficiency Ratio below choppy threshold (default 0.30)
ADX below choppy threshold (default 18)
Momentum inside dead zone
This gray background is a visual warning: "Market conditions are choppy. Momentum signals here are statistically less reliable. Consider waiting for cleaner conditions."
DASHBOARD - THE MOMENTUM WEATHER REPORT
A compact panel (position and size configurable) displaying five key readings:
PHASE
Current lifecycle phase name in corresponding color. Instantly shows where momentum is in its lifecycle.
BIRTH
DI spread acceleration status - is new momentum being created?
ACCELERATING (cyan) : Strong positive acceleration, momentum actively being born
BUILDING (green) : Moderate positive acceleration
QUIET (gray): No significant acceleration
DECELERATING (red): Negative acceleration, momentum creation slowing or reversing
FLOW
Directional bias with magnitude.
BULL : Bullish DI dominance. Number is DI spread (gap between +DI and -DI)
BEAR : Bearish DI dominance
FLAT : Momentum in dead zone, no meaningful directional bias
WEATHER
Overall assessment combining phase and vitality.
FAVORABLE (green): Active phase (IGNITION/THRUST/PRIME) with momentum outside dead zone. Conditions support directional trading.
CAUTION (orange): FADING phase, or PRIME with negative spread velocity. Trend may be exhausting.
UNFAVORABLE (red): DEAD phase or momentum in dead zone. Avoid directional strategies.
PRESSURE
Reversal pressure from curvature analysis.
BULLISH REV (green): Strong bullish reversal curvature
BEARISH REV (red): Strong bearish reversal curvature
BUILDING (cyan): Moderate reversal curvature forming
NONE (gray): No significant reversal pressure
COMPLETE SETTINGS REFERENCE
Core Momentum Oscillator
Fast ZLEMA Length (default 9): Fast moving average responsiveness. Lower = faster, noisier.
Slow ZLEMA Length (default 21): Baseline moving average. Gap between fast and slow produces momentum.
Signal Line Length (default 5): Smoothing period for signal line.
Momentum Smoothing (default 3): Additional noise reduction on raw momentum.
ATR Period (default 14): Normalization period for cross-instrument comparability.
Consolidation Zones
Show Consolidation Zones (default true): Toggle zone detection.
Histogram Sensitivity (default 1.0): How tight momentum-signal gap must be. Lower = stricter.
Slope Sensitivity (default 1.0): How flat momentum must be. Lower = stricter.
Minimum Bars (default 5): Shortest valid consolidation duration.
Drift Tolerance (default 0.4): Maximum directional drift before zone invalidation.
Regime Detection
Efficiency Ratio Period (default 10): Lookback for price efficiency calculation.
ER Smoothing (default 5): Smoothing to prevent rapid regime flipping.
Trend Threshold (default 0.4): ER above this = trending market.
Dead Zone Multiplier (default 0.5): Standard deviations defining the noise band.
Choppy ER Threshold (default 0.30): ER below this contributes to choppy warning.
Choppy ADX Threshold (default 18): ADX below this contributes to choppy warning.
Momentum Lifecycle
Show Lifecycle Band (default true): Toggle the colored phase band.
DI Calculation Length (default 14): Period for Gaussian-weighted +DI/-DI.
ADX Smoothing (default 14): ZLEMA smoothing on DX.
ADX Signal Length (default 5): EMA of ADX for crossover detection.
Ignition Window (default 4): Bars after DI cross qualifying for IGNITION.
State Inertia (default 2): Bars a phase must persist before official transition.
Ignition Accel Threshold (default 0.2): Minimum spread acceleration for IGNITION.
Ignition Velocity Threshold (default 0.3): Minimum spread velocity for IGNITION.
Thrust Velocity Threshold (default 0.5): Minimum spread velocity for THRUST.
ADX Surge Threshold (default 1.5): Minimum ADX rise over 3 bars for THRUST.
ADX Strong Threshold (default 20): ADX above this = strong trend (PRIME/FADING).
DI Spread Minimum (default 10): Minimum DI gap for PRIME confirmation.
Reversal Atmosphere
Show Reversal Atmosphere (default true): Toggle the curvature glow effect.
Glow Width (default 8): Visual width of atmospheric glow. Cosmetic only.
Display
Show Histogram (default true): Toggle momentum-signal histogram.
Show Momentum-Signal Fill (default true): Toggle shaded area between lines.
Show Choppy Background (default true): Toggle gray background warning.
Dashboard
Show Dashboard (default true): Toggle the weather report panel.
Dashboard Position (default Top Right): Panel location on chart.
Dashboard Size (default Small): Text size in panel.
Alerts
Alert on Ignition (default true): Notify when entering IGNITION phase.
Alert on Fading (default true): Notify when entering FADING phase.
Confirm on Bar Close (default true): Wait for bar close before firing alerts. Prevents false signals from intra-bar noise.
ALERTS
Two alert conditions target the most actionable lifecycle transitions:
IGNITION Onset
Fires when lifecycle enters IGNITION phase. Alert message includes directional bias (Bullish/Bearish), current ADX value, and how many bars since DI cross.
FADING Onset
Fires when lifecycle enters FADING phase. Alert message includes ADX value and current spread velocity.
Bar Close Confirmation
When enabled (default), alerts only fire after the bar closes. This prevents false alerts triggered by intra-bar price spikes that later reverse. Recommended to keep enabled for reliable signals.
RECOMMENDED TIMEFRAMES AND INSTRUMENTS
MLD works across all timeframes and instruments due to ATR normalization.
Default settings optimized for: Daily and 4-hour charts.
For lower timeframes (15m, 5m): Consider increasing Momentum Smoothing to 5 and State Inertia to 3 to filter noise.
For weekly charts: Default settings work without adjustment.
For highly volatile instruments (crypto, small caps): The adaptive thresholds automatically adjust. No manual tuning typically required.
For low-volatility instruments (bonds, some forex pairs): Consider reducing Dead Zone Multiplier to 0.3 for more sensitivity.
PRACTICAL EXAMPLE - MOMENTUM LIFECYCLE IN ACTION
Consider a stock range-bound for weeks. ADX reads 12. Traditional trend tools show nothing actionable.
Then +DI crosses above -DI. ADX is still 12. No traditional signal. But MLD detects that the DI spread is accelerating - the gap is not just opening, it is opening faster each bar. ADX has risen for two consecutive bars (waking up). The lifecycle band turns cyan: IGNITION. The dashboard shows BIRTH: ACCELERATING, WEATHER: FAVORABLE.
Over the next few bars, spread velocity increases. ADX surges upward. The band turns green: THRUST. The trend is confirmed and building.
ADX crosses above 20, continues rising, spread stays wide. Band turns deeper green: PRIME. This is the productive phase.
Eventually ADX peaks, starts falling, drops below its signal line. Spread velocity turns negative. Band turns orange: FADING. Dashboard shows WEATHER: CAUTION. Time to trail stops tightly.
ADX falls back below 20, momentum enters dead zone. Band turns gray: DEAD. The lifecycle is complete.
The value: MLD flagged IGNITION several bars before ADX would have signaled anything. It flagged FADING while ADX was still technically strong but deteriorating. This is the early detection advantage.
Chart Example 1:
BTC/USDT 5-minute is showing a classic FADING lifecycle : a bullish thrust peaked around 13:00–14:00, entered a validated consolidation zone, and is now visibly breaking down. The momentum line is curving sharply downward inside the yellow box, the band is orange (FADING), and FLOW has flipped to BEAR 17.9 : confirming the consolidation resolved bearishly, not bullishly. The earlier cyan IGNITION flash (~14:30) failed to sustain, overwhelmed by the dominant fading structure. The dashboard reads WEATHER: CAUTION, PRESSURE: NONE : no reversal energy building yet.
Chart Example 2:
BTC/USDT 15-minute is in DEAD phase with WEATHER: UNFAVORABLE : no tradeable momentum present. The dashboard tells the complete story: FLOW is FLAT meaning neither bulls nor bears have directional control, and PRESSURE is NONE meaning no reversal energy is building beneath the surface either. Despite BIRTH showing ACCELERATING, without flow direction or reversal pressure to back it up, the acceleration has no confirmed destination yet. Stand aside and wait for the lifecycle band to shift out of DEAD before committing.
WHAT MAKES THIS INDICATOR ORIGINAL
The originality lies in three specific innovations not present in standard ADX/DI implementations or common momentum oscillators:
DI Spread Acceleration Analysis
Standard tools measure the DI spread itself or track ADX thresholds. MLD applies derivative analysis - velocity and acceleration - to the spread, transforming a traditionally lagging measurement into a leading indicator of trend formation.
Gaussian-Weighted DI Calculation
Standard DI uses Wilder smoothing with equal weight to all bars. Gaussian decay weighting makes DI inherently more responsive to recent directional moves without the noise penalty of shorter periods.
Five-Phase Lifecycle Classification with Inertia-Gated State Machine
Rather than binary trend/no-trend output, MLD maps momentum onto a lifecycle model with distinct phases and specific mathematical criteria. The state machine prevents flickering while allowing speed-critical states (IGNITION, THRUST) to transition immediately.
These are integrated innovations, not independent indicators on the same pane. Each feeds into the lifecycle engine or provides context for its output.
DISCLAIMER
This indicator performs mathematical calculations on price data (open, high, low, close) only. It does not use order flow data, volume profile, market depth, bid/ask information, institutional positioning data, or any external data source.
Terms like "momentum birth," "reversal atmosphere," "weather," and " lifecycle " are descriptive metaphors for mathematical concepts (derivatives, curvature, efficiency ratios, state classification). They are not claims about market microstructure or participant behavior.
No indicator predicts future price movement. MLD identifies mathematical conditions historically associated with specific momentum behaviors. These conditions may or may not produce expected outcomes in any given instance.
This tool supplements - it does not replace - a complete trading plan including risk management, position sizing, and multiple forms of analysis. Always use proper risk management. Past indicator behavior does not guarantee future results. Indicator

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Trend Strength/DirectionThis is a really good, though complex indicator, so I will add two different explanations so to appease both the laymen and those who take the time to read thoroughly.
Simple Explanation
This indicator utilizes 6HMA's to display their angles
The greater the angle ---> the stronger the trend
If more angles are positive, then trend is very strong
If more are negative, then very negative
Comprehensive Explanation
6 angles, each of a different time frame are used to represent direction and trend strength. Angles are used because they intrinsically represent momentum and speed. An angle of 45 represents a perfect balance between something that can cover the furthest distance without compensating for speed. 1 of the 6 angles is intended(though customizable) to represent the 5 hma's angle. This is because the 5hma is very good at representing very near term price action.
Angle Levels
Its important to understand what the angle levels mean for the underlying hma's. The 0 level represents a hma that is horizontal. This is important because this is the point at which it decides to be bullish or bearish. +/- 45, as noted before, represent bullishness/bearishness that represent strong trends without compensating for speed. A continuous increase/decrease and or a cross of these levels generally indicate significant change in sentiment, of which trades may be taken.
Strategy
You should weigh your decision by those angles that represent the longer time frame. If more angles represent a certain sentiment, it is obviously unwise to fight against that long term sentiment. The purpose of this indicator was to provide a proper representation of trend direction and strength, but also solve the problem of when you should 'dip' buy.
For an example: if all angles are increase or decreasing, then you may use the 5hma's angle to find the proper points at which you will enter a position.
***NOTE: I dont think the +/- 45 bands should indicate 'overbought' or 'oversold' zones that some might assume. Instead you should wait for a crossing of this zone. Indicator

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ADX Color Easy [Dravya]Script #1
So,
here is my first script.
This is the normal 14 period ADX,
but with a color twist, to make it extremely easy on eyes.
and then,
easily spot the strength.
ADX, as you know, shows the strength of the trend.
As short term traders, we need price movement and a strong trend.
How to use this script ?
1. We don't trade when ADX is in the red zone (0-20)
2. We get ready for trading when it enters the blue zone (20-30)
3. We trade when the ADX enters the green zone (>30)
Simple, right !
Now, in the green zone,
in which direction you should trade?
Here are a few links, to help you use ADX as a strategy ,
www.tradingsetupsreview.com
www.babypips.com
Other than this, you can combine this with your own strategies.
Personally, I like to use it on stocks on 1H timeframe.
Thanks.
Would love to hear from you.
Please like it to support the project,
and help spread it. Indicator
