AJ - RSI# AJ - RSI — Multi-Timeframe RSI with Configurable Higher-TF Lock
## Overview
**AJ - RSI** is a clean, publish-ready Relative Strength Index that lets you **lock the RSI calculation to any timeframe you choose**, regardless of the timeframe your chart is on. By default it displays the **Monthly RSI (14)** on every chart — 1 minute, 1 hour, daily, weekly, monthly — so you always keep the higher-timeframe trend context in front of you while trading a lower timeframe.
## What makes it different
- **Timeframe-locked RSI:** Trade on a 15-minute chart while watching the true Monthly RSI. No need to flip charts.
- **Matches the built-in RSI exactly** on the requested timeframe (same length, same source, same math) — verified against PulseWire's native RSI.
- **Non-repainting historical data.** Uses `request.security` with `barmerge.lookahead_off`, so no future-leak on closed bars.
- **Configurable RSI-based MA** (SMA / EMA / WMA / RMA) with adjustable length.
- **Three clear reference bands** — Overbought (80, red dotted), Midline (50, green solid), Oversold (30, green dotted) — with a subtle shaded zone for readability.
## How to use
- **Trend filter:** Monthly RSI > 50 = long-term uptrend bias; < 50 = downtrend bias. Trade lower-TF setups only in the direction of the higher-TF regime.
- **Momentum shifts:** A monthly RSI crossover above 50 often marks a durable trend change; crossunder below 50 signals loss of long-term momentum.
- **Overbought / Oversold:** Readings above 80 or below 30 on the higher timeframe highlight stretched conditions worthy of caution or mean-reversion attention.
- **RSI vs. its MA:** Use crossovers of the RSI and its moving average as an early momentum confirmation.
- **Weekly / Daily setups:** Change the Timeframe input to Weekly, Daily, or any other TF to reuse the same framework at different horizons.
## Inputs
**RSI**
- RSI Length (default 14)
- Source (default close)
- Timeframe — Chart, 1 min, 5 min, 1 Hour, 1 Day, 1 Week, 1 Month, Quarter (default 1 Month). Select "Chart" to follow the current chart timeframe.
**RSI Moving Average**
- MA Length (default 14)
- MA Type — SMA / EMA / WMA / RMA (default SMA)
**Levels**
- Upper Band (default 80, red dotted)
- Mid Band (default 50, green solid)
- Lower Band (default 30, green dotted)
## Built-in alerts
- RSI crosses above 50
- RSI crosses below 50
- RSI crosses above the Upper Band
- RSI crosses below the Lower Band
## Notes on behavior
- On the current (still-forming) higher-timeframe bar, the RSI updates in real time — the same way the built-in RSI would if you switched the chart to that timeframe. Historical bars are stable.
- The Line style / color / thickness of every plot and band can be adjusted from the indicator's **Style** tab.
## Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any security. Past performance of any indicator does not guarantee future results. Always do your own research and manage your risk.
**Author:** Ayyanar Jayabalan
Indicator
Indicator
Indicator
Coil & Fire - Ashish*Updated version of Momentum Scanner*
Finds stocks that had a strong explosive move (EP candle), are now coiling quietly near their EMAs, and marks the exact entry and stop-loss levels based on the most recent low-volume healthy-dip candle.
How it works:
Screens for stocks with a recent 8%+ single-day move that are outperforming their benchmark since that move, holding above the EMA9/21 cloud with the trend structure intact, and showing genuinely quiet volume on the pullback. When all conditions align, it marks a teal bar — a low-volume healthy-dip candle sitting within 5% above EMA9. The high of that bar is your entry. The low is your stop-loss. Purple dots show the entry level. Red dots show the stop.
Orange background = price has crossed the entry level. Yellow background = setup is valid, waiting for the trigger.
What's different from Momentum Scanner:
Entry and stop-loss are now anchored to the most recent teal bar rather than a historical coil-high level, so levels are always close to current price. Volume comparison for the teal bar now uses a 10-day average instead of 50-day, making it more responsive to recent trading activity rather than a long historical baseline.
Note: Indicators are tools, not oracles — every signal still requires human judgment, risk management, and context before any trade is taken. Indicator
SEDAT XI Crypto AI BIAS ENGINE-iphone v2.0 ** ⚡SEDAT XI Crypto AI BIAS ENGINE⚡
The **SEDAT XI Crypto AI BIAS ENGINE** is a multi-asset cryptocurrency dashboard designed to help traders quickly identify where momentum, trend, and participation are aligning across the market.
Rather than focusing on a single chart, the dashboard continuously scans major cryptocurrencies and summarizes the information into an easy-to-read institutional-style interface. It combines trend analysis, breakout detection, momentum, volume activity, and RSI into one compact view, making it easier to prioritize the strongest opportunities.
### Features
• Multi-asset crypto scanner (BTC, ETH, SOL, ADA, XRP, SHIB)
• AI-style bias engine with Bullish, Bearish, Strong Trend, and Breakout detection
• Institutional volume activity meter
• Momentum score with color-coded strength
• RSI momentum confirmation
• Live current price display
• Final trade bias summary
• Mobile-friendly dashboard mode
• Adjustable dashboard size and screen placement
The goal is simple: reduce chart clutter and provide a fast market overview so traders can spend less time searching and more time focusing on high-quality setups.
This indicator is designed for educational and informational purposes. It does not predict future price movements or guarantee profitable trades. Always combine its signals with sound risk management and your own market analysis.
Thank you for checking out **SΞDAT XI Crypto AI BIAS ENGINE**. I hope it becomes a valuable part of your trading workflow. Feedback and constructive suggestions are always welcome as the project continues to evolve.
Indicator
Trend Health [FEELS]A trend rarely dies suddenly. It fades first: the move gets inefficient and counter-trend candles grow heavier. Trend Health paints that fading straight onto a supertrend-style ATR trail, and tightens the stop while it happens.
The band is saturated green or red while the trend is strong. As health decays the color drains toward amber, an amber dot prints where the dying starts, and the trail contracts under price so a weak trend exits earlier than a fixed stop would.
QUICK START
Add it to a chart and read the color. Bright band: trend intact, trail at full width. Fading band: trend losing quality, stop contracting. Amber band: dying trend, elevated flip risk. Scroll the history: most flips carry an amber warning dot some bars before them. The strip along the bottom compresses the full health history into one regime line, and the label at the right edge shows direction, state and the current health score.
HOW IT WORKS
Two layers: a health score, and a trail that consumes it.
Health score, computed every bar over the Health lookback window:
1. Directional efficiency. Kaufman efficiency ratio (net move divided by the sum of absolute bar-to-bar moves), zeroed when the net move points against the active trend, normalized so a reading of 0.5 counts as fully efficient.
2. Momentum side. RSI distance from the 50 line in the direction of the trend, scaled over 25 points.
3. Impulse asymmetry. Candle bodies printed with the trend versus against it over the window. When counter-trend bodies grow, this component decays before price structure breaks.
These three form the core score (weights 0.45 / 0.30 / 0.25). The displayed health adds a fourth read, the distance between price and the trail in ATR units, at 25 percent weight. The score is EMA-smoothed and resets on every flip.
The trail is a ratchet ATR stop built from scratch. Base width is ATR times the multiplier. With Adaptive tightening on, the effective multiplier is scaled by the core score, so a healthy trend trails at full width while a dying trend gets a progressively tighter stop. The distance component is excluded from the core on purpose, otherwise tightening would lower the score and tighten further in a loop. Toggle it off and you get a classic fixed-width trail; the health engine then only drives the color.
HOW TO USE
- Color is the instruction. Enter or hold on a saturated band, tighten manually or stand aside on amber.
- The dying alert fires when health crosses under the threshold while the trend is still running. On past data many flips were preceded by exactly this transition. Treat it as a condition read, not a forecast.
- Four alerts: flip up, flip down, trend dying, trend recovered.
- Designed on 4H to 1W. Works on any symbol and timeframe; on low timeframes expect more flips, especially in ranges with adaptive mode on.
PARAMETERS
- ATR length / ATR multiplier: trail geometry at full health.
- Adaptive tightening: health-driven contraction of the trail, on by default.
- Health lookback: window for the efficiency, momentum and asymmetry reads.
- Health smoothing: EMA on the raw score.
- Dying threshold: below this level the trend counts as dying; drives the amber floor, the warning dot, the label and the alert.
- Display toggles: trend fill, bar coloring, flip markers, dying warnings, health ribbon, status label.
- Sizing: marker size, label size and trail width are adjustable.
NOTES
- The trail state confirms at bar close. On the live bar the level and color can update until close.
- Health describes the present condition of the trend. It does not predict future prices.
- A dying warning is a condition mark, not an exit signal: health can recover and the trend can resume. Sharp reversals can flip a trend straight from high health without any warning printed.
- Adaptive mode trades later giveback for earlier exits, so in choppy ranges it flips more often than a fixed trail. That is the design, not a defect.
ORIGINALITY
The ratchet ATR trail is a classic public-domain concept reimplemented from scratch. What is original here is the three-component health model, the gradient mapping of that score onto the trail, bars and ribbon, and the feedback of the score into the stop width itself, which makes the flip points measurably different from a standard fixed-factor trail. RSI and the efficiency ratio are not displayed as separate indicators; they exist only as inputs to one scoring model. This is a single system, not a mashup. Indicator
MACD Market Stage + Hybrid Divergence - TP## MACD Market Stage + Hybrid Divergence
This indicator is a customized version of the classic **MACD** concept commonly available on PulseWire. Credit goes to PulseWire and the original MACD indicator framework. This version adds simple table readings, momentum stages, custom histogram colors, and optional divergence lines to make MACD easier to interpret at a glance.
The goal of this tool is not to predict the future, but to help traders better understand the current momentum condition of the market.
## What This Indicator Shows
This indicator displays:
MACD line
Signal line
MACD histogram
Momentum reading table
Market stage reading
Optional bullish and bearish divergence lines
The histogram colors help show whether momentum is increasing or fading.
## How To Read It
When the histogram is above zero and growing, bullish momentum is expanding.
When the histogram is above zero but shrinking, bullish momentum is weakening.
When the histogram is below zero and moving lower, bearish momentum is expanding.
When the histogram is below zero but improving, bearish momentum is weakening.
## Table Readings
The table summarizes the MACD condition in simple terms.
**Signal** shows whether bullish or bearish momentum is currently leading.
**Market Stage** shows the broader momentum phase.
**Stage Bias** gives a plain-language interpretation of the current stage.
## Market Stages
**Stage 1 Momentum Base**
Bearish momentum is weakening and the market may be trying to recover.
**Stage 2 Bullish Momentum Expansion**
Bullish momentum is strengthening and buyers are currently leading.
**Stage 3 Momentum Distribution**
Bullish momentum is still present, but it is starting to fade.
**Stage 4 Bearish Momentum Expansion**
Bearish momentum is strengthening and sellers are currently leading.
**Market Transition**
Momentum is mixed or unclear.
## Divergence
The optional divergence feature compares price action with the MACD line.
A **bullish divergence** may appear when price makes a lower low, but MACD makes a higher low.
A **bearish divergence** may appear when price makes a higher high, but MACD makes a lower high.
Divergence should not be used alone. It is best used together with price structure, support and resistance, trend, and risk management.
## How To Use
Use this indicator to quickly check whether momentum is expanding, weakening, or transitioning.
It may be useful for:
Confirming trend momentum
Spotting possible momentum weakness
Reading MACD conditions faster
Finding possible divergence areas
Supporting a broader trading plan
## Important Note
This indicator is for educational and informational purposes only. It does not provide financial advice, buy signals, or sell signals. No indicator can guarantee future results. Always use proper risk management and your own analysis before making trading decisions.
Indicator
CQ_(L)_Oscillators Overlay================================================================================
CQ_(L)_OSCILLATORS OVERLAY
User Manual
================================================================================
OVERVIEW
--------------------------------------------------------------------------------
This indicator takes a sub-pane oscillator engine (originally built for a
separate pane) and re-renders it directly on the price chart as an overlay.
You choose one of eight oscillator types, and the script draws it as a
scaled, floating panel above or below price action, using a rolling window
of recent bars. It borrows its array-based collection/redraw technique and
box-drawing style from the CQ Larry Williams Vix Fix overlay script.
Because the oscillator is bidirectional (it can swing both above and below
its own midline, unlike Vix Fix which only measures magnitude), the drawing
engine scales values based on distance from the midline rather than raw
value, and can mirror in either direction.
SECTION 1 — INDICATOR SELECTION
--------------------------------------------------------------------------------
A dropdown lets you choose which oscillator drives the overlay:
MACD - Standard MACD/Signal/Histogram
VMACD - Volume-weighted MACD (volume-weighted EMAs)
RSI - Relative Strength Index
MFI - Money Flow Index (volume-weighted RSI)
CCI - Commodity Channel Index
DRM - Directional Range Momentum (custom range-breakout momentum)
Stochastic - Standard %K / %D
Stoch RSI - Stochastic applied to RSI instead of price
A second dropdown ("Trend") controls an optional trend filter used by the
buy/sell signal logic:
Off - No trend filter; signals fire on oscillator conditions alone
200 EMA Trend - Filters signals using a 200-period EMA of price
VWAP Trend - Filters signals using session VWAP instead of the 200 EMA
Range - Same trend line, but skips the "must agree with trend"
requirement (used for range-bound markets)
SECTION 2 — COLOR & LINE STYLE
--------------------------------------------------------------------------------
- Two color pickers set the oscillator line color and the
basis/signal line color.
- "Alternate Colors" toggle: when on, the signal/basis line becomes
transparent, and the main oscillator line instead turns green when above
its midline and red when below it (a simple directional color scheme).
SECTION 3 — MACD / VW-MACD SETTINGS
--------------------------------------------------------------------------------
Fast Length (default 12)
Slow Length (default 26)
Signal Length (default 9)
These only apply when MACD or VMACD is the selected indicator. VMACD uses
volume-weighted EMAs instead of plain EMAs for the fast/slow lines.
SECTION 4 — OSCILLATOR SETTINGS (RSI / Stochastic family)
--------------------------------------------------------------------------------
Length (default 14) - lookback for RSI, MFI, CCI, DRM, or Stochastic %K
Smoothing (default 3) - smoothing applied to the raw oscillator/%K
Signal (default 14) - length of the basis/EMA signal line, or %D length
OB/OS (Overbought/Oversold)
OB/OS value (default 70) - sets the overbought line; the oversold line is
mirrored automatically around the midline
Extreme (default 10) - added to OB/OS to define an "Extreme" zone
(used for stronger/"slow-cooldown" signals)
Volume Pressure
A toggle that overlays a secondary line built from a fast/slow blended MFI
reading, compressed through a power curve. Useful as a volume-based
confirmation line drawn against the same midline.
Options row
Fill Lines - shades the area between the oscillator and its basis line
(blue when oscillator is above basis, orange when below)
Fill OB/OS - shades the area between the oscillator and the OB/OS
reference lines when price pushes into those zones
(deeper shade in the "Extreme" zone)
Divergence - draws bullish/bearish divergence lines and labels comparing
price pivots against oscillator pivots
SECTION 5 — OVERLAY DISPLAY OPTIONS (Group: "OVERLAY — Display Options")
--------------------------------------------------------------------------------
Number of Bars to Show (default 50, max 150)
How many of the most recent bars are drawn in the overlay panel.
Capped at 150 to respect PulseWire's per-indicator object budget.
Oscillator Height (default 300, price units)
The vertical distance (in price units) that the extreme OB/OS+Extreme
value is stretched out to, measured from the panel's baseline.
Separation from Price (default 150%, range 100-1400%)
How far the panel's baseline sits from the highest/lowest visible
candle. 100% means the baseline touches price; higher values add gap.
Placement (Top / Bottom, default Bottom)
Whether the panel is drawn above the visible highs or below the
visible lows.
Flip Upside Down
Mirrors the panel vertically (useful if you prefer overbought
readings to point toward price rather than away from it).
Show OB/Mid/OS Reference Lines
Draws dotted horizontal lines marking the midline, overbought, and
oversold levels across the visible window.
Show OB/OS Zone Fill
Shades the band between the OB and OS reference lines.
SECTION 6 — HOW THE OVERLAY IS DRAWN (for reference)
--------------------------------------------------------------------------------
Each bar's oscillator, basis, histogram, and volume-pressure values are
pushed into rolling arrays capped at "Number of Bars to Show." On the last
bar, all previous drawings are deleted and redrawn:
1. A baseline price level is computed from the visible high/low range,
offset by Height x Separation%.
2. A scale factor ("wMax") is derived from the OB+Extreme distance and the
actual oscillator/basis range, so the panel never clips.
3. Oscillator and basis values are converted to price-scale y-coordinates
relative to the midline and drawn as connected line segments.
4. For MACD/VMACD, histogram bars are drawn as thin boxes from the
baseline out to each bar's scaled histogram value, colored by
rising/falling and above/below-zero state.
5. A text label with the selected indicator's name is placed at the end
of the panel.
This mirrors the same rolling-window / redraw-on-last-bar technique used in
the Vix Fix overlay script, adapted for a two-sided (bidirectional)
oscillator instead of a one-sided magnitude series.
SECTION 7 — SIGNALS & ALERTS
--------------------------------------------------------------------------------
MACD Signals (only when MACD is selected)
- Buy: MACD crosses over Signal while price is above the trend EMA/VWAP,
and the cross happens at or near zero (MACD or its prior value
below zero).
- Sell: Mirror image condition for a bearish cross.
- Both have dedicated alertcondition() alerts.
Oscillator Signals (RSI, CCI, DRM, Stochastic, Stoch RSI)
Two signal speeds, each with its own cooldown to prevent rapid repeat
firing:
Fast (5-bar cooldown) - oscillator crosses its basis line while still
inside normal territory, OR crosses the
"Extreme" OB/OS+Extreme level.
Slow (10-bar cooldown) - oscillator crosses the standard OB/OS level.
If the Trend filter is not "Off" or "Range", signals additionally require
price to agree with the trend EMA/VWAP direction.
Buy/Sell background highlighting (green/red) marks bars where any of
these signals fire, matched to whichever oscillator is active.
SECTION 8 — DIVERGENCE
--------------------------------------------------------------------------------
When "Divergence" is enabled, the script compares 5-bar-left/5-bar-right
pivot highs and lows in price against the oscillator's own pivots:
- Bullish divergence: price makes a lower low while the oscillator makes
a higher low -> green line + "Bull Div" label below the bar.
- Bearish divergence: price makes a higher high while the oscillator
makes a lower high -> red line + "Bear Div" label above the bar.
SECTION 9 — PRACTICAL NOTES & LIMITS
--------------------------------------------------------------------------------
- "Number of Bars to Show" is capped at 150 bars to stay within Pine's
line/box drawing budget when combined with fills, reference lines, and
histogram boxes.
- The overlay drawing loop stops adding new line objects once the combined
oscillator + basis + volume-pressure line count reaches 480, as a safety
margin under the 500-object limit declared at the top of the script.
- Volume Pressure, Fill Lines, Fill OB/OS, and Divergence are independent
toggles and can be combined freely, but turning on several at once with a
high bar count will use more of the drawing budget.
- OB/OS zone fill and reference lines are skipped for MACD/VMACD, since
those use a zero-centered histogram instead of a fixed OB/OS band.
- All original oscillator calculations run on the current chart's timeframe
by default (the internal multi-timeframe parameter is left blank), so the
overlay reflects the chart timeframe you have open.
================================================================================
End of manual — CQ_(L)_Oscillators Overlay
================================================================================ Indicator
G-Score | NAL1. Overview
G-Score | NAL is a volatility-adjusted Z-Score regime indicator built from two main components: a smoothed price Z-Score and an adaptive GARCH-based volatility Z-Score.
The indicator does not use fixed overbought or oversold levels. Instead, it builds dynamic thresholds from the current volatility structure of the market. Price is then measured against those volatility-derived boundaries to determine whether the market is entering a bullish or bearish statistical regime.
2. Calculation
The indicator starts by estimating volatility through a GARCH-style process. It calculates log returns from the selected source, converts those returns into squared variance, and then compares short-term variance behavior against a realized variance baseline.
GARCH_LogReturn = math.log(src / src )
GARCH_SquaredLogReturn = math.pow(GARCH_LogReturn, 2.0)
GARCH_RealizedVariance = ta.sma(GARCH_SquaredLogReturn, GARCH_Lookback)
The model then searches through possible beta and gamma coefficients to find weights that better fit the recent variance environment. These optimized coefficients are used to build a GARCH variance estimate from three components: long-run variance, recent shock variance, and lagged variance.
GARCH_Variance =
GARCH_Gamma * GARCH_LongRunVariance +
GARCH_Alpha * GARCH_SquaredLogReturn +
GARCH_Beta * GARCH_LaggedVariance
The final GARCH volatility value is created by taking the square root of the projected variance. This produces the volatility engine used later in the threshold system.
The indicator then calculates two separate Z-Scores. The first is a price Z-Score, measuring where price is relative to its own mean and deviation. The second is a volatility Z-Score, measuring where GARCH volatility is relative to its own historical distribution.
Both values are smoothed with a Jurik-style moving average to reduce noise while keeping the response relatively fast.
The volatility Z-Score is then mirrored into positive and negative boundaries. This creates dynamic upper and lower thresholds that expand and contract with the current volatility regime.
The final signal compares the smoothed price Z-Score against those adaptive volatility thresholds. A bullish state triggers when price strength expands above the upper volatility boundary. A bearish state triggers when price weakness falls below the lower volatility boundary. When price remains inside the volatility envelope, the previous regime is held.
3. Key Features
Adaptive GARCH-style volatility engine.
Price Z-Score measured against volatility-derived thresholds.
Dynamic upper and lower boundaries instead of fixed levels.
Jurik-style smoothing for both price and volatility components.
State-based candle coloring, background regime coloring, threshold fills, and transition labels.
Designed to capture statistical expansion when price moves outside its volatility-adjusted structure.
4. Use
G-Score is designed to identify when price begins separating from its normal statistical range after accounting for the current volatility environment. A move above the upper threshold reflects bullish statistical expansion, while a move below the lower threshold reflects bearish statistical expansion.
The strength of the indicator comes from the relationship between price displacement and volatility regime. Rather than treating every Z-Score reading the same, it lets volatility define the boundary that price must break.
This indicator is best used as a specialized module within a complete strategy framework. Its role is to isolate a specific statistical layer of market behavior, where price expansion is evaluated through the lens of adaptive volatility. The full value comes from how this regime signal is integrated into a broader process for timing, structure, and risk.
Indicator
Indicator
CandelaCharts - Directional Strength Meter 📝 Overview
The CandelaCharts - Directional Strength Meter is an all-in-one momentum dashboard that combines two complementary analyses:
1. Directional Component — Aggregates 11+ oscillators (RSI, MACD, MFI, CCI, TSI, RVI, Stoch, Williams %R, ROC, Momentum, CMO) into a single normalized consensus line that shows where price pressure is pointing right now (bullish/bearish bias).
2. Environmental Quality Component — Measures trend strength and market structure (ATR, ADX, Linear Regression slope, Correlation) to confirm whether conditions are actually worth trading on the directional signal.
The directional line is color-graded (orange → purple → blue) and bounded around −1…+1. The shaded band marks that zone; moving beyond ±1 flags potential extremes. Optional divergence labels highlight classic bullish/bearish divergences and can be filtered to only show high-probability cases.
📦 Features
A quick tour of what Directional Strength Meter can do so you know exactly what’s under the hood.
Composite Directional Line — Normalizes 11 momentum oscillators to a single −1…+1 scale, showing consensus bullish/bearish pressure.
Environmental Quality Gauge — Combines volatility (ATR), trend strength (ADX), structure quality (Linear Regression), and alignment (Correlation) to separate strong setups from weak noise.
Visual Zones & Coloring — Orange (bearish) → Purple (neutral) → Blue (bullish) gradient shows momentum direction and intensity. The shaded −1…+1 band marks "normal" range; moves beyond ±1 highlight extremes and potential exhaustion.
Configurable Mix — Toggle which directionals participate; add optional EMA/KAMA/etc. of the oscillator for signal smoothing.
Divergence Detection — Spots classic regular bullish (lower low price, higher low oscillator) and bearish (higher high price, lower high oscillator) divergences on the directional line. Optional high-probability filter ensures at least one pivot sits outside ±1 for added confidence.
Clean Alerts — Buy/Sell crosses with environmental quality gates, plus divergence alerts.
Workflow-Friendly — Thresholds, lengths, smoothing, and correlation window are all adjustable to suit scalps or swings.
⚙️ Settings
Tune the inputs and thresholds to match your asset, timeframe, and risk tolerance—without overcomplicating things.
Settings (Core)
Plot Directionals MA? — Overlays a moving average of the main oscillator (not price). Helpful for crossover-style entries.
Directional MA / Color / Length — Choose EMA/SMA/SMMA/WMA/VWMA/HMA/ALMA; pick color and period.
Overall Length — Master multiplier applied to many directional lengths. Higher = smoother/slower; lower = snappier.
Buy/Sell — Global quality threshold for environmental quality filter (default −0.25). Only trigger Buy/Sell when conditions meet/beat this line.
Sell / Buy Threshold — Levels that the alert source must cross for signals (defaults +1.25 / −1.25).
Correlation Length — Lookback used for nondirectional correlation coloring (informational).
Smoothing — Optional EMA smoothing of the composite (length configurable).
Directionals (what goes into the Directional Strength Meter head)
RSI / MFI — Core oscillators for momentum & volume-flow tilt.
MACD / CCI / TSI — Trend and momentum blend, normalized to the −1…+1 consensus scale.
RVI — Volatility-weighted directional pressure.
Stoch %K / Williams %R — Mean-reversion signals normalized into the consensus blend.
ROC / Momentum / CMO — Raw speed and directional burst.
Lengths — Each has a base length; many are multiplied by the Overall Length for fast/slow presets.
Nondirectionals (quality & structure)
ATR — Volatility expansion vs baseline.
ADX — Trend strength vs baseline.
Linear Regression Strength — Measures slope consistency.
Abs Correlation — How cleanly price aligns over time.
Plot Nondirectionals — Show the averaged nondirectional line and color it by ATR/ADX correlation level.
Divergence
Divergences — Enable regular bullish (LL price, HL oscillator) / bearish (HH price, LH oscillator).
Pivot Length Left/Right — Sensitivity of pivot finding.
Only show High-Prob — Require that the current or previous oscillator pivot sat outside the ±1 band (filters weak signals).
Colors / Label Text Color — Visual tweaks.
Alerts
Alert Condition — Choose “Directional Source” (raw Directional Strength Meter) or “Directional EMA” (Directional Strength Meter MA) as the crossing source. If you pick EMA, consider using ±1 for Buy/Sell thresholds.
⚡️ Showcase
Main Line
Divergences
Directional & Non-directional
Moving Average
📒 Usage
Learn how to read the directional and nondirectional lines and turn them into clear, repeatable trade decisions.
Read the Bias — Above 0 = bullish tilt; below 0 = bearish tilt. Color fades → build/decay in momentum.
Use the Gates — A Buy/Sell alert fires only if: (1) the directional line (or its MA) crosses your Buy/Sell threshold, and (2) environmental quality is at/above your filter.
Respect the Band — ±1 marks "stretched" momentum states. Sustained moves beyond +1 often signal trend continuation; quick rejections may warn of exhaustion. Mirror logic applies to −1 (bearish side).
Divergences — Bullish (lower lows in price, higher lows in oscillator) often precedes rallies; Bearish (higher highs in price, lower highs in oscillator) often precedes drops. High-Prob filter focuses on turns anchored by true extremes (outside ±1).
Timeframe Tips — The indicator adapts well from intraday to swing. Increase Overall Length + Smoothing for higher TFs; do the opposite for LTFs.
Confluence — Best used alongside price structure (support/resistance, HTF trend bias), volume, and risk management. Treat the directional line as the momentum engine; use price action and levels to confirm entry/exit timing.
🚨 Alerts
Set up Buy/Sell and divergence alerts and know precisely when and why each alert fires.
Buy Signal — Fires when the directional line (or its MA) crosses above the Buy Threshold (default −1.25) and environmental quality ≥ filter (default −0.25).
Sell Signal — Fires when the directional line (or its MA) crosses below the Sell Threshold (default +1.25) and environmental quality ≥ filter.
Regular Bullish/Bearish Divergence — Optional alerts for classic divergences on the composite. With “Only High-Prob” ON, at least one oscillator pivot must be outside ±1.
Setup Tip — If you set Alert Condition to “Directional EMA,” consider thresholds near −1 / +1 for cleaner MA cross behavior.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Indicator
Indicator
Indicator
Participation-Adjusted Momentum [TradeDots]Participation-Adjusted Momentum
Summary
This indicator computes a momentum oscillator that has been adjusted by participation quality . Raw momentum (standardized rate-of-change) is multiplied by a quality blend derived from volume percentile, close-location alignment within the bar, and range-per-volume efficiency. The intent is to differentiate strong momentum supported by participation from moves that look impressive on price alone but occur on thin volume or wide ranges with little net travel. The histogram is colored by one of five interpretable states (Strong Bull, Strong Bear, Thin, Quiet Accumulation, Noisy) so users see at a glance whether to trust a momentum reading.
What is original here
Momentum oscillators (rate-of-change, MACD, RSI) and volume oscillators (volume percentile, MFI) are widely available. This script's contribution is the deliberate combination into a single adjusted reading, plus the five-state classification that maps raw-momentum / participation combinations to labelled regimes. The "Quiet Accumulation" state (low momentum but rising volume percentile) and the "Thin" state (strong momentum but low participation) are specifically called out because they are the most actionable readings — both indicate that the price reading and the order-flow reading disagree, and that disagreement deserves a label.
How it works
Each bar, the following quantities are computed.
Raw momentum. Rate-of-change of close over a configurable length, then z-scored (subtract the mean, divide by the standard deviation) over the normalization lookback. The result is approximately bounded but can exceed plus or minus 3 in extreme moves.
EMA slope. A 50-period EMA's change over a configurable lookback, min-max normalized to 0-100. Used as a secondary directional bias (computed and exposed as a hidden plot, but not directly added to the displayed oscillator).
Volume percentile. Volume rank over the normalization lookback (typically 100 bars).
Close-location value. Where the close sits within the bar's high-low range, expressed as a percentage. For an upward-direction reading, a close near the bar's high indicates buyers won the bar; for a downward-direction reading, a close near the bar's low indicates sellers won.
Participation. Volume percentile (divided by 100) multiplied by direction-aligned close-location value (also normalized to 0-1). Result is in ; higher means "good participation".
Range per volume. Bar range divided by volume. High range per volume means a wide candle moved on thin flow — typical of news spikes, illiquid prints, or false moves. The percentile rank of range-per-volume is inverted (low range-per-volume gives a high "efficiency score") and used as a quality factor.
Quality blend. A weighted combination: 0.4 * participation + 0.4 * range_efficiency + 0.2. The +0.2 floor ensures that even with zero participation and zero efficiency, the adjusted momentum retains 20% of the raw signal so the oscillator does not flatline completely.
Adjusted momentum = raw momentum × quality blend.
State classification (mutually exclusive):
Strong Bull : raw momentum at or above +threshold and participation at or above 0.55
Strong Bear : raw momentum at or below −threshold and participation at or above 0.55
Thin : absolute raw momentum at or above threshold and participation below 0.35 — momentum without volume, a warning state
Quiet Accumulation : absolute raw momentum below the quiet threshold and volume percentile above the quiet-volume floor — flat price but rising participation
Noisy / Low Quality : the catch-all when none of the above apply
The histogram bar color reflects the current state.
Repainting and data integrity
All factors are computed on confirmed bar values; alerts are gated by barstate.isconfirmed. No request.security() calls are made — the script operates entirely on the chart timeframe.
How to read the chart
The primary plot is the adjusted-momentum histogram, colored by state.
A thin overlay line shows the same value with continuous color for easy zero-line reading.
Reference lines at zero and at ±1 standard deviation provide context for how extreme the current reading is.
Hidden plots expose raw momentum, participation, volume percentile, and direction so they are available in the Data Window.
The dashboard panel shows the current state in the header, then numeric readings for raw momentum (in z-units), adjusted momentum, volume percentile, participation, range efficiency, and the quality blend.
Inputs
Inputs are grouped into three sections.
Core Settings : ROC length, percentile / z-score lookback, EMA slope length, slope lookback bars, strong-momentum z-threshold, quiet-accumulation maximum z, quiet-accumulation minimum volume percentile.
Visual Settings : zero-line toggle, ±1σ band toggle, dashboard toggle, panel position and size, panel background color.
Any Alert() function call conditions : per-alert toggles.
Alerts
Four alert conditions are provided, each firing on the first bar the state is entered:
Strong Bull Momentum
Strong Bear Momentum
Quiet Accumulation Detected
Momentum Without Volume (the "Thin" warning state)
Each is declared via alertcondition() and is fired programmatically through alert() when the corresponding input toggle is enabled, with alert.freq_once_per_bar_close. Alert messages include {{ticker}} and {{interval}} placeholders.
How to use this script
This is a confirmation indicator. It does not generate entries on its own.
When considering an entry on price strength alone, check this indicator. A Strong Bull or Strong Bear state confirms that volume and close location support the move.
The "Thin" state is a warning. A breakout that prints during a Thin reading should be treated more cautiously than the same breakout during Strong Bull.
The Quiet Accumulation state can identify periods of base-building before a move and is useful as a "watchlist" signal.
Use alongside a setup-specific indicator for entry timing.
Limitations and honest caveats
Volume quality varies dramatically between markets. On crypto exchanges, wash-trading and bot-driven order flow can produce misleading volume percentile readings. Apply with awareness.
Z-score normalization requires the lookback to contain a representative variety of states. On instruments with strong regime changes, early-bar z-scores may be unreliable until the lookback fills.
The close-location alignment factor reads single-bar close behavior. On gappy markets or after market closes, the alignment may not reflect intraday order flow.
The script does not signal direction independently; it adjusts and labels momentum that is already present.
The +0.2 floor in the quality blend is a design choice to avoid flat-lining the oscillator. Users who want a strict "zero adjustment when participation is zero" reading can set the participation weights higher and adjust the floor by modifying the source code.
Disclaimer
This script is published for informational and educational purposes. It is not investment advice and is not a recommendation to buy or sell any instrument. Adjusted momentum is a descriptive measure, not a prediction of future price. Users are solely responsible for their own trading decisions and risk management.
Indicator
ATR Stop Oscillator**What This Indicator Does — In Plain Terms**
This is a trend-following tool that measures how far price has moved away from its own volatility-based "safety line" (the ATR trailing stop), and displays that distance as a bar chart (histogram) below your main price chart — similar in spirit to how RSI or MACD sits below the chart, except this one is tracking distance from a trailing stop instead of momentum.
Here's the core idea in one sentence: **the indicator draws an invisible line that trails behind price and adjusts itself based on volatility (ATR), and the oscillator shows you how many "ATR units" price currently is above or below that line.**
- When the bars are **green and above the zero line**, price is above its trailing stop — meaning the trend is currently bullish/long-favoring.
- When the bars are **red and below the zero line**, price is below its trailing stop — meaning the trend is currently bearish/short-favoring.
- The **farther the bar is from zero**, the more "stretched" price is from its stop, in multiples of ATR (e.g., a reading of 3.0 means price is 3 full ATR units away from the stop line).
- When the bars **flip from red to green (or vice versa)**, that's a trend change — and that's exactly what triggers your alert.
---
**Input-by-Input Breakdown**
**Non-Repainting Signals (`ConfirmOnClose`)**
- **What it does:** Controls whether the trend-change alert waits for the current candle to fully close before firing, or fires immediately as soon as the condition is met — even mid-candle.
- **Why it matters:** If left ON (default), you avoid false or "fake" signals that flip back and forth while a candle is still forming — the alert only confirms once the bar is locked in. If turned OFF, you'll get faster signals, but some of them may reverse or disappear before the candle actually closes, since price is still moving. Think of it as a tradeoff between speed and reliability.
- **Practical use:** Leave this ON for swing trading or anything where you can't watch the chart constantly. Turn it OFF only if you're actively watching the screen and want the earliest possible warning, accepting the risk of a signal that later gets invalidated.
**ATR Period (`Atr`)**
- **What it does:** Sets how many bars are used to calculate the Average True Range (ATR) — the volatility measurement this whole indicator is built on. Default is 5.
- **Why it matters:** A shorter period (like 5) makes the ATR — and therefore the trailing stop and oscillator — more reactive to recent price swings, so it adjusts quickly but can feel "twitchy" or noisy. A longer period (like 20 or 50) smooths things out, making the stop line and oscillator move more slowly and steadily, but it'll lag behind sudden volatility changes.
- **Practical use:** Lower values suit fast-moving or short-timeframe trading (scalping, day trading). Higher values suit slower, longer-term trend following where you don't want to be shaken out by every small wiggle.
**Multiplier (`Mult`)**
- **What it does:** Multiplies the ATR value to determine how far away the trailing stop sits from price. Default is 5.
- **Why it matters:** This directly controls how "loose" or "tight" your trailing stop is. A higher multiplier (like 5 or higher) gives price more room to breathe before the trend is considered reversed — fewer false flips, but bigger moves against you before you get an alert. A lower multiplier (like 1 or 2) tightens the stop, giving you faster trend-change signals, but at the cost of more false flips during choppy/sideways price action.
- **Practical use:** This is your single biggest lever for tuning sensitivity. Tighten it if you're getting alerts too late or missing moves; loosen it if you're getting whipsawed by too many false trend-change alerts during sideways markets.
**Above Stop Color (`PosColor`)**
- **What it does:** Sets the color of the oscillator bars when price is above the trailing stop (positive/bullish readings). Default is green.
- **Why it matters:** Purely visual — it does not affect any calculation, alert, or signal logic. It only changes what you see on the chart.
- **Practical use:** Adjust this to match your personal chart theme or color-blind-friendly palette if needed. No functional impact either way.
**Below Stop Color (`NegColor`)**
- **What it does:** Sets the color of the oscillator bars when price is below the trailing stop (negative/bearish readings). Default is red.
- **Why it matters:** Same as above — cosmetic only, no effect on calculations or alerts.
- **Practical use:** Same as above — purely a visual preference setting.
---
**What You'll See on the Chart**
- A **histogram (bar chart)** oscillating above and below a dashed gray zero line, in your own separate pane below the price chart.
- **Green bars** = price above the ATR trailing stop (bullish state).
- **Red bars** = price below the ATR trailing stop (bearish state).
- **No labels or markers** on the price chart itself — you removed those. All the trend information lives in this oscillator pane only.
**What Triggers an Alert**
- The alert fires only on an actual **trend flip** — meaning the internal trend direction changed from bullish to bearish or vice versa, not just because the oscillator crossed zero on a fluke tick.
- You'll get one alert message telling you whether it flipped **BULLISH** or **BEARISH**, plus two separate alert conditions in PulseWire's alert menu if you'd rather set them up individually.
If any of this doesn't match how you're actually planning to use it (e.g., you want the color inputs to also influence something functional, or you want a numeric readout of the current ATR-multiple value), tell me and I'll adjust — I didn't want to assume beyond what's in the script. Indicator
Indicator
MACD Pullback Validation with Divergence Filters [algo_aakash]MACD Pullback Validation with Divergence Filters is a momentum confirmation indicator designed to identify continuation opportunities after temporary pullbacks rather than generating signals from every MACD crossover.
Instead of relying on a single event, the script evaluates multiple stages of market behavior. It begins by detecting pullbacks within an existing momentum cycle, waits for momentum recovery, confirms that price and the MACD histogram are no longer weakening, and optionally verifies that the setup occurs near significant price locations using pivot-derived support/resistance levels or Bollinger Band extremes.
The objective is to reduce low-quality MACD signals by requiring several independent conditions to align before a bullish or bearish signal is displayed.
Problem Statement
Traditional MACD crossover signals frequently occur during ranging markets or immediately after short-lived momentum fluctuations. Likewise, divergence signals alone often appear too early and do not necessarily indicate that momentum has already shifted back in the anticipated direction.
This indicator addresses that limitation by requiring multiple confirmation stages rather than treating each condition as an independent trading signal.
Instead of responding to isolated events, it evaluates whether a pullback has occurred, whether momentum is rebuilding, whether a recent divergence supports the move, and whether price is located in an area where reversals may be more meaningful.
Methodology
The analytical framework consists of several sequential validation layers.
First, MACD crossover events occurring above or below the zero line are monitored to identify temporary pullbacks within an existing momentum cycle. These crossover events establish the recent pullback state.
Next, the script monitors the MACD histogram. Bullish momentum requires the histogram to remain above zero while increasing relative to the previous bar. Bearish momentum requires the histogram to remain below zero while decreasing.
The indicator then waits for the MACD line itself to cross the zero line, treating this as evidence that momentum has shifted back in the direction of the prevailing move.
Histogram divergence is calculated using confirmed pivot highs and pivot lows. Regular bullish divergence requires price to form a lower low while the histogram forms a higher low. Regular bearish divergence requires price to form a higher high while the histogram forms a lower high. Hidden divergence calculations are also available for users who wish to visualize continuation-type divergence.
Finally, optional contextual filters may be enabled.
The Support/Resistance filter checks whether the current price is interacting with recently confirmed pivot-based levels.
The Bollinger Band filter requires bullish setups to occur after closing below the lower band and bearish setups after closing above the upper band, helping identify momentum reversals from statistically extended price conditions.
Signals are generated only after every enabled validation layer has been satisfied.
Signal Workflow
Bullish workflow
1. Detect a recent bearish MACD crossover occurring above the zero line to identify a pullback.
2. Confirm a regular bullish MACD histogram divergence using pivot comparisons.
3. Require the MACD histogram to begin strengthening.
4. Wait for the MACD line to cross back above the zero line.
5. Optionally require interaction with recent pivot-based support.
6. Optionally require price to close below the lower Bollinger Band.
7. Display a bullish signal.
Bearish workflow
1. Detect a recent bullish MACD crossover occurring below the zero line.
2. Confirm a regular bearish MACD histogram divergence.
3. Require bearish histogram acceleration.
4. Wait for the MACD line to cross below the zero line.
5. Optionally require interaction with recent pivot-based resistance.
6. Optionally require price to close above the upper Bollinger Band.
7. Display a bearish signal.
Why This Indicator Is Different
Many MACD indicators generate signals immediately after crossovers, while divergence indicators typically evaluate price and momentum independently.
This script integrates these concepts into a sequential validation framework where each condition serves a different analytical purpose.
The pullback logic identifies temporary counter-trend momentum.
The histogram evaluates whether momentum is rebuilding.
The zero-line crossover confirms broader momentum alignment.
Divergence provides evidence that momentum and price are no longer moving in agreement.
Optional pivot interaction and Bollinger Band filters add market-location confirmation before a signal is produced.
Rather than displaying every crossover or every divergence, the indicator waits until multiple independent conditions align before producing a trading signal.
Inputs
The script includes configurable parameters for:
* MACD fast, slow, and signal periods
* Pullback lookback window
* Divergence pivot lengths
* Divergence range settings
* Optional hidden divergence display
* Optional Support/Resistance validation
* Pivot sensitivity
* Optional Bollinger Band confirmation
* Bollinger Band length and standard deviation
Alerts
Built-in alert conditions are available for:
* Bullish Signal
* Bearish Signal
* Regular Bullish Divergence
* Hidden Bullish Divergence
* Regular Bearish Divergence
* Hidden Bearish Divergence
Practical Usage
The indicator is intended for traders who prefer waiting for momentum confirmation after temporary pullbacks instead of reacting to every MACD crossover.
Optional Support/Resistance and Bollinger Band filters can be enabled to make signal selection more restrictive when additional price-location confirmation is desired.
Limitations
MACD histogram divergence relies on confirmed pivot highs and lows, so divergence signals are only confirmed after the required pivot bars have formed.
Support and resistance levels are derived from pivot calculations and represent algorithmically identified swing points rather than manually drawn market structure.
Like any momentum-based indicator, performance may vary across different market conditions and should be evaluated alongside a broader trading plan and appropriate risk management.
Notes
This indicator is intended as an analytical decision-support tool. It combines momentum analysis, pullback recognition, divergence detection, and optional contextual filters into a structured confirmation process rather than relying on any individual condition as a standalone trading signal.
Indicator
Multi-Indicator Confluence Strategy Automator [MarkitTick]💡 A comprehensive, multi-dimensional technical analysis suite engineered to evaluate market conditions through a rigorous synthesis of trend, momentum, volatility, and cross-asset correlation metrics. Designed for traders who require a systematic approach to market entry and risk management, this script aggregates signals from multiple proven indicators and applies advanced statistical filters to minimize false positives. By unifying foundational technical analysis with advanced mathematical concepts like the Hurst exponent and momentum inflation, this tool provides a highly objective, data-driven environment for evaluating market structure and defining structured trade parameters.
✨ Originality and Utility
Standard trading methodologies often rely on isolated indicators, which can lead to high failure rates in dynamic market environments. The originality of this script lies in its robust confluence engine, which demands simultaneous alignment across multiple independent market dimensions before generating a signal.
Instead of merely stacking moving averages, this suite integrates a strict Boolean gating system that evaluates:
A primary directional baseline derived from a Hull Moving Average combined with an Average True Range volatility buffer.
A directional movement and momentum confirmation matrix utilizing the Average Directional Index and Commodity Channel Index.
Dynamic volume filtering to ensure market participation supports the price action.
Advanced statistical gating mechanisms, including confluence decay, regime detection, and cross-asset correlation analysis.
This utility is exceptionally valuable for systematic traders, as it translates complex, multidimensional market data into a highly legible, unified dashboard while automatically projecting risk-adjusted stop-loss and take-profit levels dynamically based on current market volatility.
🔬 Methodology and Concepts
● The Confluence Engine
The core of this strategy revolves around a scoring system that evaluates bullish or bearish alignment. A valid signal requires a minimum confluence score, calculated by assessing the following core components:
• Baseline Trend
The script utilizes a Hull Moving Average to determine the primary market bias. To eliminate noise, a volatility buffer equivalent to a fraction of the Average True Range is applied, ensuring that only definitive breakouts beyond the baseline are considered valid directional shifts.
• Directional Movement (ADX/DMI)
The first confirmation layer relies on the Average Directional Index alongside the Directional Movement Indicators. A trend is only considered active if the ADX exceeds a user-defined threshold, and the relationship between the positive and negative directional indicators defines the bias.
• Momentum Oscillators (CCI)
The second confirmation layer employs the Commodity Channel Index to measure the current price level relative to an average price level over a given period. Bullish or bearish confirmation requires the CCI to pierce specific upper or lower thresholds.
• Volume Validation
A volume filter ensures that signals are backed by significant market interest. The current period's volume must exceed a rolling exponential moving average of historical volume, multiplied by a strict sensitivity factor.
• Advanced Gating Filters
Confluence Decay: A time-based penalty system that degrades the value of a signal if the confluence state persists for too long without triggering an entry, preventing late entries into exhausted trends.
Hurst Regime Detector: Classifies the market as trending or mean-reverting, gating signals that conflict with the overarching statistical regime.
Momentum Inflation Ratio: Normalizes current price velocity against historical volatility to detect and filter out exhaustion spikes.
Cross-Asset Lead-Lag: Computes the Pearson correlation against a secondary asset to confirm macroeconomic or sector-wide alignment before entry.
🎨 Visual Guide
The script employs a highly intuitive visual hierarchy designed to keep the chart clean while providing maximum data density.
● Chart Elements
• Heatmap Candles
The standard price candles are color-coded based on the baseline trend state. Bullish bars are colored a vibrant teal, bearish bars are marked in a distinct red, and neutral states default to a muted slate blue. This visual heuristic allows traders to instantly recognize the dominant market regime without processing raw numerical data.
• Signal Markers
When all confluence conditions and advanced gates are met, the script plots distinct entry markers: small upward-pointing triangles below the bar for long signals, and downward-pointing triangles above the bar for short signals.
• Risk Management Levels
Upon a confirmed signal, the script dynamically draws horizontal lines representing the trade parameters:
Entry Line: A dashed, neutral-colored line projecting the exact trigger price.
Stop Loss (SL): A dashed, red line projected against the trend based on a multiple of the Average True Range.
Take Profit (TP1, TP2, TP3): Three dotted, green lines representing scaled exit targets, dynamically calculated using expanding volatility multiples.
Each line is accompanied by a precise price label anchored to the right side of the chart.
● The Information Dashboard
A comprehensive table is anchored to the top right of the screen. It displays the real-time status of the Baseline, Confirm 1, Confirm 2, Volume, Exit status, and the aggregate Score. Furthermore, it outputs the exact values for ADX, ATR, Decay Age, Hurst Exponent, Momentum Inflation, Baseline Distance-Integral, and Lead-Lag Correlation, using a color-coded text system (Green for bullish/favorable, Red for bearish/unfavorable, Yellow for warnings).
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
● Interpreting Signals
Traders should monitor the chart for the appearance of the signal triangles. Because the script utilizes a strict minimum gap requirement between signals, traders will not be overwhelmed by repetitive alerts during a sustained trend.
● Executing Trades
Once a signal appears, the script automatically projects the optimal Entry, Stop Loss, and three Take Profit levels on the chart. Traders can use these exact price labels to populate their exchange order tickets or algorithmic routing software.
● Managing Positions
The built-in Exit Indicator, driven by a faster CCI calculation, will trigger an alert when counter-trend momentum builds, providing an objective reason to manually close or trail stops on an active position before the hard stop loss is hit.
● Dashboard Monitoring
Use the dashboard table to gauge the overall health of the trend. If the Confluence Score drops or the Confluence Decay percentage reaches high levels, it is highly advisable to tighten stops on existing positions, as the mathematical probability of trend continuation has diminished.
⚙️ Inputs and Settings
● Core Indicator Tuning
Baseline HMA Length: Adjusts the sensitivity of the primary trend filter.
ADX/DMI Length & Threshold: Defines how strong a trend must be to pass the first confirmation gate.
CCI Length & Threshold: Sets the momentum required for the second confirmation gate.
Volume RMA Length & Multiplier: Configures the strictness of the volume participation filter.
● Risk Parameters
ATR Length: The lookback period for volatility measurement.
SL ATR Mult: The multiplier applied to the ATR to define the stop-loss distance.
TP1, TP2, TP3 ATR Mult: The multipliers defining the three scale-out profit targets.
● Advanced Filter Settings
Confluence Decay: Toggles the time penalty system and defines the maximum bars before full decay.
Hurst Regime Detector: Toggles regime filtering and sets the threshold for trending vs. mean-reverting environments.
Momentum Inflation Ratio: Toggles velocity normalization and sets the threshold ratio for exhaustion alerts.
Cross-Asset Lead-Lag: Defines the correlation ticker, correlation lookback window, and minimum Pearson threshold.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Rescaled Range Analysis and the Hurst Exponent
This script integrates a specialized implementation of the Hurst Exponent, a statistical measure originally developed in hydrology, to classify financial time series data. It calculates the cumulative deviation of the asset's price from its Simple Moving Average over a defined rolling window. By identifying the maximum and minimum cumulative deviations, the script establishes the range, which is then normalized against the standard deviation of the price series to compute the rescaled range ratio. The final Hurst value is derived logarithmically. A value significantly greater than 0.5 mathematically confirms a persistent, trending regime, while a value below 0.5 indicates an anti-persistent, mean-reverting environment.
● Momentum Inflation via Volatility Normalization
The script tackles the academic problem of momentum illusion, where sheer point movement is mistaken for structural momentum, by normalizing absolute price speed against the Average True Range. It then compares this normalized current velocity against a rolling historical average of normalized velocity. If the resulting ratio exceeds the user-defined threshold, the script identifies the movement as mathematically over-extended, gating further entries to prevent buying the top or selling the bottom of a volatility spike.
● Cross-Asset Correlation Dynamics
To account for macroeconomic interconnectedness, the script employs a rolling Pearson correlation coefficient between the primary asset and a defined leading indicator. By analyzing the covariance of the two assets relative to the product of their standard deviations over a specific window, it mathematically verifies if the broader sector or macroeconomic environment supports the localized signal.
● Distance-Integral Calculations
The Baseline Distance-Integral utilizes a rolling mathematical sum of the spatial delta between the closing price and the moving average. This integral provides a quantifiable area-under-the-curve measurement, offering deeper insight into the cumulative kinetic energy of a trend rather than relying solely on point-in-time cross signals.
⚠️ 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. We 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
MACD Trend Continuation Filter [algo_aakash]MACD Trend Continuation Signals with Trend Strength and Session Validation is a trend-following indicator designed to reduce false MACD crossover signals by requiring confirmation from market direction, trend strength, and trading session activity before generating a signal.
Instead of treating every MACD crossover equally, the indicator applies a sequential validation process so that signals are only produced when momentum develops in the direction of the prevailing trend during active market sessions.
Problem Statement
Standard MACD crossover strategies often generate numerous signals during ranging markets, weak trends, or periods of reduced market participation. While many of these crossovers satisfy the basic MACD conditions, they frequently lack the broader context needed to support a higher-probability continuation move.
This indicator addresses that issue by combining momentum, trend direction, trend strength, and session timing into a single validation workflow. The objective is not to increase the number of signals, but to improve their selectivity by filtering out conditions that commonly produce lower-quality entries.
Methodology
The indicator evaluates each setup through four consecutive validation stages.
Stage 1 – Momentum Trigger
The process begins with a traditional MACD crossover.
A bullish setup requires the MACD line to cross above the signal line while both remain below the zero line, indicating that bullish momentum is emerging from previously negative momentum.
A bearish setup requires the MACD line to cross below the signal line while both remain above the zero line, indicating weakening bullish momentum before potential downside continuation.
Stage 2 – Trend Direction
After a valid MACD crossover is detected, price location relative to the selected EMA determines the higher-level trend.
Long signals require price above the EMA.
Short signals require price below the EMA.
This prevents taking counter-trend MACD crossovers.
Stage 3 – Trend Strength
The indicator then evaluates ADX.
Signals are only accepted when ADX exceeds the user-defined threshold, indicating that directional movement has sufficient strength. When enabled, this filter attempts to reduce signals generated during low-volatility consolidation periods.
Stage 4 – Session Validation
Finally, signals are restricted to the selected trading sessions.
By default, only London and New York sessions are considered valid. These periods generally coincide with higher market participation and increased liquidity compared with quieter trading hours.
Only when all four stages agree is a signal plotted.
Signal Workflow
Bullish Signal
MACD crosses above its signal line.
MACD remains below zero.
Price trades above the EMA trend filter.
ADX exceeds the minimum strength threshold (optional).
The current bar occurs during an enabled trading session (optional).
A bullish signal is displayed.
Bearish Signal
MACD crosses below its signal line.
MACD remains above zero.
Price trades below the EMA trend filter.
ADX exceeds the minimum strength threshold (optional).
The current bar occurs during an enabled trading session (optional).
A bearish signal is displayed.
Why This Indicator Is Different
Many MACD-based scripts generate signals immediately after every crossover.
This indicator instead applies a layered validation process where each filter serves a distinct analytical purpose:
MACD identifies the momentum shift.
The EMA confirms the broader directional bias.
ADX measures whether the market is exhibiting sufficient directional strength.
The session filter limits signals to predefined periods of higher market activity.
Rather than operating as independent indicators displayed together, these components form a sequential decision process where each stage must validate the previous one before a signal is produced.
Inputs
The indicator allows customization of:
MACD fast, slow, and signal periods
EMA length
ADX length
Minimum ADX threshold
London session
New York session
Enable/disable ADX filtering
Enable/disable session filtering
Alerts
Built-in alert conditions include:
Bullish Signal
Bearish Signal
Alerts trigger only after all enabled validation stages have been satisfied.
Practical Usage
The indicator is intended for traders who prefer trading with the prevailing market direction rather than reacting to every MACD crossover.
Because multiple filters must align, signal frequency is intentionally lower than a standard MACD indicator. Traders may use the signals alongside their own price action analysis, support and resistance levels, or risk management rules.
Limitations
Signals are generated only after bar confirmation.
Strong trends may still produce losing trades during rapid market reversals.
Session filtering may exclude valid opportunities occurring outside the selected trading hours.
ADX measures trend strength but does not indicate future price direction.
The indicator is designed as a confirmation tool and should not be relied upon as the sole basis for trading decisions.
Notes
This script is intended for educational and analytical purposes. It visualizes a structured validation process that combines momentum, trend direction, trend strength, and trading session timing into a single signal-generation workflow. As with any technical indicator, outputs should be evaluated within a broader trading plan that includes appropriate risk management. Indicator
Wick Asymmetry Ratio (WAR)Wick Asymmetry Ratio (WAR)
WAR is a bounded oscillator (−1 to +1) that measures which candle wick dominates — in other words, where price was rejected .
How it's calculated
upper = high − max(open, close)
lower = min(open, close) − low
WAR = (lower − upper) / (high − low + ε)
Most wick tools compare each wick against the body. WAR instead subtracts the two wicks and normalizes by the full bar range. Two consequences: it never breaks on doji candles (zero body, no division blow-up), and it produces a single symmetric value comparable across symbols and timeframes.
How to read it
WAR > 0 → lower wick dominates → buyers defended the low (bullish rejection)
WAR < 0 → upper wick dominates → sellers capped the high (bearish rejection)
WAR ≈ 0 → clean body or symmetric wicks → no clear rejection
The signal filter — this is the point
A single strong wick means little in the middle of a range. WAR only marks a signal when a strong rejection coincides with the bar being the highest/lowest of the lookback window, plus a cooldown to prevent clusters. This is what separates it from "an arrow on every wick".
Visual layers
Colored histogram (sign + strength)
Optional price-overlay pressure ribbon that shifts green↔red — read pressure without numbers
Signal dots with a halo at filtered extremes
Subtle background aura in strong zones
Limitations — read this
WAR is a context / exhaustion tool, not a standalone entry trigger. It tells you who absorbed price on a given bar; it does not predict direction by itself. Use it as confluence with structure, support/resistance, or your own system. On sub-cent assets raise ε. The signal fires on bar close at the threshold cross.
Open-source. Wick analysis is a well-known concept; what's specific here is the subtractive, range-normalized oscillator plus the extreme + cooldown filter and the price-overlay ribbon. Feedback and forks welcome.
— Español —
WAR es un oscilador acotado (−1 a +1) que mide qué mecha de la vela domina, es decir, dónde fue rechazado el precio . A diferencia de los ratios mecha/cuerpo, WAR resta ambas mechas y normaliza por el rango total: no se rompe en doji y da un valor simétrico comparable entre activos y temporalidades.
WAR > 0 → mecha inferior domina → rechazo comprador
WAR < 0 → mecha superior domina → rechazo vendedor
WAR ≈ 0 → cuerpo limpio o mechas simétricas → sin rechazo claro
El filtro solo marca señal cuando un rechazo fuerte coincide con un extremo de la ventana, con cooldown para evitar racimos. Es una herramienta de contexto / agotamiento , no un gatillo de entrada por sí sola — úsala como confluencia. Toda la interfaz en inglés está traducida en esta descripción. Indicator
Indicator
Adaptive RSI Supertrend [MarkitTick]💡 A highly advanced, multi-dimensional momentum and volatility tracking ecosystem designed for professional market analysis. Rather than relying on traditional price-based trailing stops, this indicator projects a volatility-banded Supertrend directly onto an Adaptive Relative Strength Index (ARSI). This creates an incredibly responsive momentum oscillator that dynamically adjusts its own thresholds based on underlying market kinematics. By integrating high-order digital signal processing filters, higher timeframe confirmations, and volume-weighted validation, this tool provides a comprehensive, terminal-style perspective on market regime, momentum acceleration, and localized price extremes without succumbing to the noise typical of standard oscillators.
✨ Originality and Utility
The standard Relative Strength Index is frequently plagued by false signals, erratic whipsaws during consolidation, and a failure to contextualize momentum within broader structural trends. This script resolves these systemic inefficiencies through a deliberate and mathematically sound synthesis of disparate analytical domains. The combination of an ARSI with a localized Supertrend is not an arbitrary pairing; it solves the problem of static overbought/oversold boundaries. By mapping average true range (ATR) bands onto the RSI itself, the indicator creates dynamic, breathing support and resistance levels for momentum. Furthermore, the integration of advanced smoothing algorithms (Kalman and LLAMA) strips out high-frequency noise, ensuring that crossovers between the ARSI and the Supertrend-derived Merged Line represent statistically significant momentum shifts rather than fleeting market anomalies. This unified framework replaces the need for an overlapping array of disparate indicators, offering a singular, high-contrast dashboard for absolute market clarity.
🔬 Methodology and Concepts
The internal architecture of this tool is built upon several synchronized analytical layers, heavily optimized to protect the integrity of the underlying logic while delivering seamless visual output.
● Adaptive Momentum Core
At the heart of the script is the ARSI, which abandons traditional static lookbacks in favor of a responsive differential tracking model. It evaluates the absolute range of price action against directional movement, feeding these differences through a recursive smoothing engine. This results in an oscillator that remains highly sensitive to genuine trend initiation while heavily penalizing sideways chop.
● Digital Signal Processing (DSP) Filters
The raw momentum data is processed through user-selectable DSP algorithms to extract the true signal from market noise. The Kalman Filter dynamically estimates the true state of momentum by balancing process noise against measurement noise, adapting instantly to volatility spikes. Alternatively, the LLAMA filter applies an efficiency-ratio-driven alpha scaling model, tightening its smoothing factor during periods of low efficiency and relaxing it during strong directional bursts.
● Oscillator-Bound Supertrend
Instead of applying a Supertrend to price, the script calculates a specialized ATR based on the frame-to-frame variance of the ARSI. It then projects upper and lower deviation bands around the ARSI, maintaining a directional bias based on trailing breakouts. The resulting baseline is then averaged with the DSP-filtered signal to create the "Merged Line," serving as the ultimate zero-lag trailing threshold for momentum.
● Multi-Factor Regime Scoring
The script continuously evaluates the broader market context by scoring four distinct components: the absolute level of the ARSI, the trigonometric angle of the ARSI trajectory, the state of the oscillator Supertrend, and the relationship of price to a macroeconomic baseline moving average. These factors are normalized and aggregated into a 0-100 Regime Score, offering a unified metric of trend health.
🎨 Visual Guide
The visual presentation is engineered for high-contrast, dark-mode optimized aesthetics, providing immediate, terminal-style data processing without chart clutter.
● Chart Elements
Color-Matched Candles: Price candles are painted based on the kinetic relationship between the ARSI and its signal line. Neon Cyan indicates strong bullish momentum, Dark Teal indicates weak bullish momentum, Deep Crimson indicates strong bearish momentum, and Maroon denotes weak bearish pressure. Slate Gray represents a neutral momentum state.
Dynamic Support/Resistance Boxes: Translucent, neon-bordered zones (Cyan for Support, Crimson for Resistance) highlight localized structural extremes, providing immediate context for price breakouts.
Trade Projection Labels: When crossover signals fire, dashed projection lines emerge, extending forward to display precisely calculated Entry (Slate), Stop Loss (Crimson), and multi-tiered Take Profit (Neon Green) levels based on dynamic risk-to-reward parameters.
Chart Angle Label: A floating text label displays the exact trigonometric angle and classification of the current trend (e.g., "Strong Uptrend / 45.2°").
● Oscillator Pane Elements
Adaptive RSI Line: Plotted with a dynamic gradient that transitions from Deep Crimson (extreme weakness) to Neon Cyan (extreme strength), instantly conveying momentum depth.
Merged Signal Line: A distinct Neon Purple to Deep Pink gradient line acting as the trailing support/resistance for the ARSI.
Divergence Histogram: Translucent Cyan and Red histogram bars plot the delta between the ARSI and the Merged Line, visualizing the acceleration or deceleration of momentum crosses.
Background Shading: The oscillator pane background shifts to a deep blue/purple tone during overbought (above 80) and oversold (below 20) extremes. A striking Electric Gold background illuminates periods where momentum enters a highly compressed "Squeeze" state.
Signal Markers: Crisp "BULL" (Cyan) and "BEAR" (Red) text labels appear on the oscillator when fully validated crossovers occur.
● The Analytics Dashboard
A fixed, dark-background HUD presents granular telemetry using segmented block bars and color-coded text for rapid scannability:
ARSI Level: Percentage reading of the current momentum state.
Signal Strength: Block visualization of the DSP-filtered baseline.
Angle Momentum & Acceleration: Metrics tracking the velocity and delta-velocity of the trend trajectory.
Supertrend & Market Bias: Text readouts indicating the dominant structural direction.
HTF Trend & Volume: Validation checks displaying the alignment of higher timeframes and localized volume surges.
Volatility ATR & Last Cross: Precise numerical readouts of market expansion and the duration since the last major signal.
Regime Score: The composite 0-100 metric, color-coded from Crimson (Bear) to Neon Magenta (Transition) to Cyan (Bull).
📖 How to Use
Identify Momentum Regime: Monitor the Dashboard's Regime Score. A score above 70 combined with a Neon Cyan ARSI line indicates an environment where long positions are statistically favored.
Trade the Crossover: Wait for the ARSI to cross the Merged Line. Validated crosses will generate a distinct "BULL" or "BEAR" label. Check the Dashboard to ensure the Volume Filter and HTF Trend are aligned (marked with a green checkmark).
Navigate Squeezes: When the oscillator background turns Electric Gold, the market is experiencing a severe volatility contraction. Avoid initiating new positions during the squeeze. Wait for the background color to clear, accompanied by an Alert indicating a Squeeze Breakout, before trading the subsequent expansion.
Manage Risk via Trade Labels: Upon a valid signal, utilize the automatically projected Entry, SL, and TP lines on the main chart to structure your position sizing according to the script's ATR-derived risk mechanics.
⚙️ Inputs and Settings
ARSI & Signal Lengths: Controls the primary lookback periods for the oscillator and its baseline.
Signal Filter Type: Select between RMA, Kalman Filter, or LLAMA to dictate the specific mathematical model used for noise reduction.
Supertrend ATR Length & Factor: Adjusts the sensitivity and width of the volatility bands applied to the oscillator.
Volume Filter Multiplier: Determines the threshold required for volume validation (e.g., 1.5 requires volume to be 50% above its moving average).
HTF Timeframe: Defines the higher timeframe used for macro-trend alignment (defaults to Daily).
Squeeze Angle Threshold: The maximum absolute angle permitted to trigger a volatility contraction state.
Trade Labels (Risk:Reward): Allows fine-tuning of the Stop Loss padding and the precise ratios for TP1, TP2, and TP3 targets.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator relies on a robust foundation of applied mathematics and digital signal processing. The core methodology employs non-linear dynamic state estimation. Unlike standard moving averages that suffer from inherent group delay, the integration of algorithms akin to the Kalman filter allows the script to recursively project the next state of momentum and update that projection based on incoming price data. This minimizes lag while aggressively smoothing standard deviation anomalies.
Furthermore, the application of volatility banding (ATR) directly to an bounded oscillator (RSI) represents a shift from price-domain analysis to momentum-domain analysis. By calculating the variance of the momentum itself, the script acknowledges that momentum has its own distinct volatility profile, independent of price action. The kinematics of the trend are evaluated using trigonometric functions to derive the slope (velocity) and the rate of change of the slope (acceleration). This multidimensional approach ensures that signals are not generated merely by price crossing a threshold, but by a mathematically validated shift in the kinetic energy of the market.
⚠️ 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. We 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
Indicator
