Top % Up Scanner (2m/5m/15m/30m)TradeSage
Top % Up Scanner (Multi-Timeframe Momentum Detector)
Overview
A real-time scanner that identifies stocks with the strongest 2-minute price movement, backed by high volume. Perfect for day traders and scalpers looking to catch explosive intraday moves.
Key Features
📊 Multi-Timeframe Display
Shows % gains across 2m, 5m, 15m, and 30m periods
Quick snapshot of momentum across different timeframes
🔍 Smart Filters
Price Range: Scans only $0.10 - $20 stocks (customizable)
High Volume: Requires 3x+ average volume confirmation
Top Mover: Highlights when 2m gain is the highest in lookback period
🎯 Visual Alerts
Green triangle below breakout bars
Green background highlight
Auto-generated label showing all timeframe %s
Built-in alert for notifications
Best For
Day trading momentum breakouts
Scalping explosive moves
Multi-chart scanning for hottest movers
Early detection before moves become obvious
Recommended Setup
Timeframe: 1-2 minute charts
Use with: Support/resistance levels and proper risk management
Customize: Adjust price range, volume threshold, and lookback period to match your style
브레드쓰 인디케이터
SWIFT ALGO X LIMITLESS//@version=5
//@Shanxia
// NOTE: Only works on 1HR and below and exchange timezones differ so change the session times accordingly.
indicator("ICT NY Midnight Open", "ICT NY OPEN", true, max_lines_count=500, max_bars_back = 5000)
// INPUTS
i_time = input.session ('0000-0001:1234567', "New York", tooltip="Different exchanges will have difference time zones so change accordingly.")
i_tz = input ("GMT-4", "Timezone")
i_vline = input.bool (true, "VLine", inline="in3")
i_vcol = input.color (#00b9d0, "", inline="in3")
i_txtcol = input.color (#0098ff, " Text color", inline="in3")
i_vstyle = input.string ("Solid", "Style", options= )
i_hline = input.bool (true, "HLine", inline="in1")
i_linecol = input.color (#0064ff, "", inline="in1")
i_linestyle = input.string ("Dotted", " ", options= , inline="in1")
i_ex = input.string ("1 Day", "Extend", options= , inline="in4" )
i_ex2 = input.bool (false, "", inline="in4")
i_ex3 = input.int (3, "Hours", 1, 23, inline="in4")
// MISC
nymid = time ("1", i_time, i_tz)
linestyle = i_linestyle == "Solid" ? line.style_solid : i_linestyle == "Dotted" ? line.style_dotted : line.style_dashed
vstyle = i_vstyle == "Solid" ? line.style_solid : i_vstyle == "Dotted" ? line.style_dotted : line.style_dashed
ex = i_ex == "1 Day" ? extend.none : i_ex == "2 Days" ? extend.none : i_ex == "Right" ? extend.right : extend.both
htime = i_ex == "2 Days" ? 172800000 : 86400000
hourtime = i_ex2 ? i_ex3 * 3600000 : htime
// CALC
var openprice = 0.0
if nymid
if not nymid
openprice := open
else
openprice := math.max(open, openprice)
// OBJECTS
var label lb = na
if openprice != openprice and i_hline
var line lne = na
line.set_x2(lne, nymid)
line.set_extend(lne, extend.none)
lne := line.new(nymid, openprice, nymid + hourtime , openprice, xloc.bar_time, extend.none, i_linecol, linestyle, 2)
lb := label.new(nymid + htime, openprice, "NY Midnight Open | " + str.tostring(math.round_to_mintick(openprice)), xloc.bar_time, yloc.price, na, label.style_none, i_txtcol)
label.delete(lb )
if i_vline and nymid == nymid
vl1 = line.new(nymid, high, nymid, low, xloc.bar_time, extend.both, i_vcol, vstyle, 1)
if line.get_y1(vl1) == line.get_y2(vl1)
line.delete(vl1)
// END
Gap Finder PROGap Finder PRO
An advanced TradingView indicator that detects bullish and bearish price gaps, tracks them in real time, and confirms closure only after a full candle close.
Features clear color-coded gaps, visual fill symbols, gap strength columns, and sound alerts for precise, noise-free gap trading.
Precio vs Volumen ProSeguimiento del precio con relación al Volumen.
Detecta divergencias.
Zonas de alto volumen
Vlad EmaUsado para daytrading, cruces de ema lenta y rápida, además de usar la ema de los 200 periodos
Market Breadth MomentumThe indicator operates by fetching data from external tickers (usually market internal symbols like ATHI and ATLO) and processing them through a momentum filter. It aims to identify "breadth thrusts" or exhaustion points before they become obvious on a standard price chart.
Key ComponentsCustom Data Inputs: By default, it uses New Highs and New Lows tickers. You can toggle between calculating the Net difference (Highs minus Lows) or a Ratio (Highs divided by Lows).
Dual Mode Logic:Raw Mode: Visualizes the raw spread between highs and lows.Momentum Mode: Applies a McClellan-style calculation (Fast EMA minus Slow EMA) to show the rate of change in market breadth.Signal Line: Includes a 9-period EMA (Signal Line) to help identify trend shifts and provide crossover alerts.
Visual InterpretationThe indicator is displayed in a separate pane below the price chart:ElementDescription
Teal ColumnsIndicate that the breadth momentum is increasing (bullish divergence or strengthening trend).
Maroon Columns Indicate that the breadth momentum is decreasing (bearish divergence or weakening trend).Orange LineThe Signal Line; used to smooth out noise and provide entry/exit triggers.Zero LineThe "neutral" mark. Values above zero generally suggest bullish internal health; values below suggest bearish.
Identifying Divergences
If the S&P 500 is making new price highs, but the Breadth Momentum histogram is making lower highs, it suggests the rally is losing participation. This is often a precursor to a market correction.
Momentum Crossovers
A common signal is the "Signal Line Cross." When the columns cross above the orange Signal Line, it indicates a short-term surge in market participation (a "Thrust").
Mean Reversion
Extreme extensions away from the Zero Line (either positive or negative) can signal that the market is overbought or oversold on an internal level, regardless of what the price action looks like.
Settings & Inputs
New Highs/Lows Ticker: Ensure these match the symbols provided by your broker (e.g., HI_NY or ATHI).
Fast/Slow EMA: Standard settings are 19 and 39 (McClellan defaults), but these can be tightened for faster scalping or widened for long-term trend following.
Show Momentum: Toggle this off if you simply want to see the raw "Net Highs" data without the EMA smoothing.
MATT 3This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
ALGO X LIMITLESS//@version=5
indicator("Swift Algo X – Volume Drift (Stable)", overlay=true)
// =====================
// INPUTS
// =====================
volPeriod = input.int(50, "Volume Z-Score Period", minval=10)
pricePeriod = input.int(20, "Price Smoothing Period", minval=5)
bandMult = input.float(1.5, "Volatility Multiplier", step=0.1)
macroPeriod = input.int(100, "Macro Baseline Period", minval=20)
// =====================
// VOLUME DRIFT LOGIC
// =====================
volMean = ta.sma(volume, volPeriod)
volStd = ta.stdev(volume, volPeriod)
volZ = volStd != 0 ? (volume - volMean) / volStd : 0
// Volume-weighted price force
volForce = close * (1 + volZ * 0.01)
// Fair Value Estimate
fairValue = ta.ema(volForce, pricePeriod)
// =====================
// ADAPTIVE VOLATILITY BANDS
// =====================
volatility = ta.stdev(fairValue, pricePeriod)
upperBand = fairValue + volatility * bandMult
lowerBand = fairValue - volatility * bandMult
// =====================
// MACRO TREND FILTER
// =====================
macroBase = ta.ema(fairValue, macroPeriod)
bullTrend = fairValue > macroBase
bearTrend = fairValue < macroBase
// =====================
// SIGNALS (NON-REPAINT)
// =====================
buySignal = ta.crossover(close, upperBand) and bullTrend
sellSignal = ta.crossunder(close, lowerBand) and bearTrend
// =====================
// PLOTS
// =====================
plot(fairValue, "Fair Value", color=color.orange, linewidth=2)
plot(upperBand, "Upper Band", color=color.new(color.green, 0))
plot(lowerBand, "Lower Band", color=color.new(color.red, 0))
plot(macroBase, "Macro Baseline", color=color.blue)
plotshape(buySignal, title="BUY", location=location.belowbar,
style=shape.labelup, color=color.green, text="BUY")
plotshape(sellSignal, title="SELL", location=location.abovebar,
style=shape.labeldown, color=color.red, text="SELL")
// =====================
// ALERTS
// =====================
alertcondition(buySignal, "Swift Algo X BUY", "BUY Signal Detected")
alertcondition(sellSignal, "Swift Algo X SELL", "SELL Signal Detected")
ALGO X LIMITLESS//@version=6
indicator("ICT NY Midnight Open", "ICT NY", overlay=true, max_lines_count=500, max_bars_back=5000)
// Heure New York
nyHour = hour(time, "America/New_York")
nyMinute = minute(time, "America/New_York")
// Détection minuit NY
isNYMidnight = (nyHour == 0 and nyMinute == 0)
// Tracer une seule ligne par jour
if isNYMidnight and not isNYMidnight
line.new(
bar_index,
open,
bar_index + 1,
open,
extend = extend.right,
color = color.blue,
width = 2
)
EMA Distance Histogram - BY EFB THIS indicator is used to understand the exhaustion of a market, it can be used in divergence or trend following with contraction and restart, obviously to be backtested on your asset
Daily Bias Panel (with MTF Toggle)Daily Bias Panel Documentation
Overview
The Daily Bias Panel is a TradingView indicator designed to provide a structured, multi factor assessment of market direction for intraday and swing traders. It consolidates several key bias components—Prior Day levels, VWAP, Overnight High/Low, Multi Timeframe Market Structure, and an Overall Bias—into a clean, compact table. A confidence meter summarizes the combined strength of all signals.
This document explains each line item, the rules behind it, and how to interpret the panel.
1. Prior Day Bias
Definition
Compares the current price to the previous day’s high and low.
Rules
• Bullish (1): Close > Prior Day High
• Bearish (-1): Close < Prior Day Low
• Neutral (0): Price is between the prior high and low
Interpretation
This bias reflects whether the market is breaking out above or below the previous day’s range. It is a foundational directional signal.
2. VWAP Bias
Definition
Measures whether price is trading above or below the Volume Weighted Average Price.
Rules
• Bullish (1): Close > VWAP
• Bearish (-1): Close < VWAP
• Neutral (0): Price is at VWAP
Interpretation
VWAP is a widely used institutional benchmark. Trading above VWAP suggests buyers are in control; below VWAP suggests sellers dominate.
3. ONH / ONL Bias (Overnight High / Low)
Definition
Tracks the overnight session’s high and low (18:00–09:30 ET) and compares current price to those levels.
Rules
• Bullish (1): Close > Overnight High
• Bearish (-1): Close < Overnight Low
• Neutral (0): Price is inside the overnight range
Interpretation
ONH/ONL is extremely important for index futures (ES/NQ). Breaking ONH/ONL often signals strong directional intent at the RTH open.
4. Struct MTF (Market Structure Bias)
Definition
A weighted blend of market structure trends across multiple timeframes.
Modes
Swing Mode
• 4H (50%)
• 1H (30%)
• 15M (20%)
Intraday Mode
• 1H (40%)
• 15M (35%)
• 5M (25%)
Rules
Each timeframe is classified as:
• Bullish (1): Higher High + Higher Low
• Bearish (-1): Lower High + Lower Low
• Neutral (0): No clear structure
The weighted average produces a final structure score.
Interpretation
This is your trend engine. It smooths noise and provides a stable directional backbone.
5. Overall Bias
Definition
A strict agreement filter between Prior Day Bias and VWAP Bias.
Rules
• Bullish (1): Both Prior Day and VWAP are bullish
• Bearish (-1): Both are bearish
• Neutral (0): Any disagreement
Interpretation
This prevents false positives by requiring alignment between two major bias components.
6. Confidence Score
Definition
A weighted blend of all bias components:
• Prior Day (25%)
• VWAP (25%)
• ONH/ONL (20%)
• MTF Structure (30%)
Output
A normalized score between -1.00 and +1.00.
Interpretation
• +1.00: Strong bullish alignment across all systems
• -1.00: Strong bearish alignment
• 0.00: Mixed or unclear conditions
7. Confidence Meter (10 Square Visual)
Definition
A visual representation of the confidence score.
Rules
• 0–10 squares filled based on absolute confidence
• Color reflects direction (green/red/yellow)
Interpretation
A quick glance gauge of trend strength.
8. Debug Mode (Optional)
Purpose
Displays all underlying levels and bias markers directly on the chart.
Includes
• Prior High / Low
• VWAP
• ONH / ONL
• Confidence Score line
• Bias markers (P, V, O, M)
Use Case
Great for verifying logic, backtesting visually, and understanding how each component behaves.
9. Panel Layout & Spacing
Top Left Spacer System
When the panel is placed in the top left corner, a 3 row spacer pushes it below the chart header and indicator dropdown.
Panel Size Options
• Small
• Medium
• Large
These adjust font sizes and meter padding.
______________________________________________________________________________
Summary
The Daily Bias Panel is a compact, multi factor decision tool that blends:
• Prior Day context
• VWAP positioning
• Overnight session dynamics
• Multi timeframe trend structure
• A strict overall bias filter
• A confidence scoring engine
Together, these components give traders a clear, structured view of market direction and strength.
This documentation should serve as a complete reference for understanding, using, and publishing the indicator.
EMA 4HThis indicator is a streamlined trend-following tool designed specifically for the **4-Hour (4H)** timeframe. It combines two key Exponential Moving Averages (EMA) to help traders identify short-term momentum and dynamic support/resistance levels with reduced noise.
**Key Components:**
* **EMA 9 (Green Line):** The "Trigger" line. It reacts quickly to price action, representing immediate short-term momentum.
* **EMA 21 (Dark Blue Line):** The "Trend" line. It serves as a dynamic support/resistance zone and acts as a filter to keep you on the right side of the trend.
**Why the 4H Timeframe?**
The 4-hour chart offers a sweet spot between the noise of lower timeframes (15m, 1H) and the lag of daily charts. This setup allows for swing trading and intraday positioning with higher reliability.
**How to Use This Strategy:**
1. **Trend Identification (Crossovers):**
* **Bullish Bias:** When the EMA 9 crosses **above** the EMA 21. Look for long positions.
* **Bearish Bias:** When the EMA 9 crosses **below** the EMA 21. Look for short positions.
2. **Dynamic Support & Resistance (Pullbacks):**
* In a strong trend, price often pulls back to test the area between the EMA 9 and EMA 21. This "zone" often acts as a high-value entry point if price action shows rejection (wicks).
3. **Trend Strength:**
* **Wide Gap:** If the space between the Green and Blue lines is expanding, the trend is strengthening.
* **Narrow Gap:** If the lines are flat or intertwining, the market is ranging (choppy). It is best to wait for a breakout.
**Settings:**
* Default inputs are set to **9** and **21**, optimized for H4.
* Fully customizable via the settings menu to fit other strategies or assets (Crypto, Forex, Stocks).
**Disclaimer:**
This script is for educational and technical analysis purposes only. Always manage your risk and use stop losses.
MATT 4This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
MATT 1This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
MATT 2This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
Neeson RSI Divergence DetectorIntegrating Multi-Indicator Strategies: A Rational Approach to Technical Analysis Tools
Introduction
The integration of multiple technical indicators into a unified trading script represents a sophisticated approach to market analysis, combining complementary analytical methods to enhance decision-making. This article outlines the rational basis for combining specific indicators, explains their synergistic operation, and provides practical guidance for users seeking to understand the functional utility, operational mechanics, and unique value proposition of integrated technical analysis tools.
Functional Purpose and Rational Integration Basis
Integrated technical scripts are designed to address the inherent limitations of single-indicator analysis by combining multiple analytical perspectives. The rational basis for integration typically follows these principles:
Complementary Signal Validation: Different indicators measure distinct market characteristics (momentum, volatility, trend strength, etc.). Their combination allows cross-validation of signals, reducing false positives inherent in single-indicator systems.
Multi-Timeframe Confirmation: Integrated scripts often incorporate elements that analyze price action across different temporal dimensions, providing a more comprehensive market perspective.
Risk Management Enhancement: By combining overbought/oversold indicators with trend confirmation tools, these scripts help identify not only entry opportunities but also potential risk zones.
Market Phase Adaptation: Different market conditions (trending, ranging, volatile) favor different indicator types. Integrated approaches maintain relevance across varying market environments.
Synergistic Operational Mechanism
The components of well-designed integrated scripts operate through several synergistic mechanisms:
Primary Trend Identification: Core trend-following indicators establish the dominant market direction, serving as a filter for other signals. This prevents counter-trend entries that might otherwise be generated by oscillators or momentum indicators.
Momentum Confirmation: Oscillator-based components (like RSI or Stochastic) validate the strength of the identified trend, distinguishing between healthy retracements and potential reversals.
Divergence Detection: By comparing price action with momentum indicators, these scripts identify subtle shifts in market dynamics that often precede trend changes.
Volatility Adjustment: Volatility-based components dynamically adjust signal thresholds and position sizing recommendations based on current market conditions.
Multi-Layer Filtering: Each signal passes through successive validation layers, with only the strongest, most confirmed signals triggering alerts or visual markers.
Practical Application Guidance
Users can maximize the utility of integrated scripts through these practical approaches:
Parameter Customization: Adjust indicator periods and thresholds to match the characteristics of specific trading instruments and timeframes. Historical testing can identify optimal settings for particular markets.
Signal Hierarchy Interpretation: Learn to distinguish between primary signals (strongly confirmed across multiple indicators) and secondary signals (weaker confirmation) for appropriate position sizing.
Contextual Analysis: Consider integrated signals within the broader market context, including support/resistance levels, volume patterns, and fundamental developments.
Performance Correlation: Monitor how different market conditions affect script performance. Some configurations may excel in trending markets while others perform better in ranging conditions.
Risk Calibration: Use the multi-indicator confirmation to calibrate stop-loss and take-profit levels, with tighter parameters for strongly confirmed signals and wider parameters for weaker ones.
Originality and Value Proposition
The originality of well-designed integrated scripts manifests in several dimensions:
Unique Combination Logic: The specific selection and weighting of indicators, along with their integration methodology, represents intellectual value distinct from simple indicator stacking.
Innovative Signal Processing: Advanced scripts often incorporate proprietary algorithms for signal filtering, noise reduction, or probability weighting not found in standard indicators.
Adaptive Framework: Some scripts dynamically adjust their analytical approach based on changing market conditions, representing a form of artificial market intelligence.
Visualization Innovation: The presentation of complex multi-indicator data in an intuitive, actionable format constitutes significant user interface originality.
Empirical Limitations and Responsible Use
It is crucial to maintain realistic expectations regarding integrated technical scripts:
No Predictive Certainty: These tools analyze probabilities, not certainties. No combination of historical price indicators can guarantee future price movements.
Market Efficiency Limitations: All technical analysis operates within the constraints of market efficiency, with script effectiveness varying across different market conditions and time periods.
Complementary Role: Integrated scripts should complement, not replace, comprehensive trading strategies including risk management, fundamental analysis, and market knowledge.
Continuous Evaluation: Regular performance assessment against established benchmarks helps maintain realistic expectations and identifies when script adjustments may be necessary.
Conclusion
The thoughtful integration of multiple technical indicators represents a logical evolution in analytical methodology, addressing the limitations of single-indicator approaches through complementary validation and multi-dimensional analysis. By understanding the rational basis for integration, the synergistic operation of components, and the practical application parameters, users can employ these tools as valuable components within broader, disciplined trading approaches. The true value emerges not from predictive accuracy but from structured decision support that helps traders navigate complex market environments with greater consistency and insight.
EMA 12HDesigned specifically for the **12-Hour (12H)** timeframe, this indicator offers a powerful setup for Swing Traders who want to capture significant market moves without the "noise" of lower timeframes or the lag of the Daily chart.
This script visualizes the interaction between a fast-moving momentum line (EMA 7) and a short-term trend baseline (EMA 21). This specific combination on the 12H chart is often considered a "Sweet Spot" for identifying multi-day trends in volatile markets like Crypto and Forex.
**Indicator Components:**
* **EMA 7 (Green Line):** The "Fast Momentum" line. By using a period of 7, this line hugs price action tightly. It acts as the immediate signal trigger, reacting swiftly to sudden bursts of buying or selling pressure.
* **EMA 21 (Dark Blue Line):** The "Trend Anchor." This serves as the baseline for the trend. As long as price remains respectful of the EMA 21, the current swing trend is considered intact.
**Why the 12H Timeframe?**
The 12-Hour chart is a professional timeframe that effectively filters out intraday fluctuation. A crossover on the 12H chart carries significantly more weight than on the 1H or 4H charts, often preceding major trend continuations or reversals that last for days or weeks.
**Trading Strategy Guide:**
1. **The Entry Signal (Crossover):**
* **Bullish Swing:** When the EMA 7 (Green) crosses **above** the EMA 21 (Blue). This indicates that immediate momentum has overpowered the recent average, signaling a potential start of an uptrend.
* **Bearish Swing:** When the EMA 7 (Green) crosses **below** the EMA 21 (Blue). This signals a breakdown in momentum and a potential start of a downtrend.
2. **Trend Confirmation:**
* **Strong Uptrend:** Price candles should close consistently above the Green line.
* **Strong Downtrend:** Price candles should close consistently below the Green line.
* **Warning Sign:** If price closes between the Green and Blue lines, the trend may be weakening or consolidating.
3. **The "Golden Gap":**
* Watch the space between the two lines. An expanding gap indicates high volatility and a strong trend. If the lines begin to merge, it suggests the market is losing momentum and entering a choppy phase—traders should exercise caution.
**Settings & Customization:**
* **Default:** Lengths are set to **7** and **21** to match the 12H aggressive swing strategy.
* **Customizable:** You can adjust the lengths in the input tab to experiment with other combinations (e.g., 9/21 or 10/20) depending on the asset's volatility.
**Disclaimer:**
Trading involves high risk. This indicator is a tool for technical analysis and should not be considered financial advice. Always use stop-losses and proper risk management.
Initial Balance Ultimate High/LowThis indicator plots the definitive session high and low established during the initial balance formation within the first hour following the New York Stock Exchange open, as well as the 25%, 50%, and 75% retracement levels of the total initial balance range
Infinity Signal - Momentum ConsensusInfinity Signal — Momentum Consensus is a multi-timeframe momentum classification framework that aggregates Stochastic RSI readings from five timeframes (1H, 4H, 1D, 1W, 1M) into a single, readable view.
The script is designed to help users assess momentum alignment, disagreement, and regime strength across timeframes. It is intended for context and structure, not as a standalone signal generator or predictive system.
What This Script Displays
1) Composite Momentum Pane (MTF Composite %K)
For each timeframe, the script computes a standard Stochastic RSI using higher-timeframe data via request.security() with no lookahead.
A composite momentum line is created by taking a simple average of the five %K values and applying smoothing. This produces a single oscillator that reflects aggregate momentum behavior across timeframes.
Overbought and oversold reference levels are shown for context.
2) Multi-Timeframe Consensus Table
A table summarizes the Stoch RSI state for each timeframe using optional bars-back anchors (allowing the table to be locked to a specific historical bar).
For each timeframe, the table classifies:
Direction: Bull / Bear / Mix (based on %K vs %D)
Zone: Overbought / Oversold / Mid (based on %K level)
Timeframes are combined using fixed weights to produce:
Bull vs Bear percentage balance
A dominant bias label
A simple alignment grade reflecting agreement strength across higher and lower timeframes
This table is designed to reduce single-timeframe bias by making agreement and disagreement across the stack immediately visible.
3) Mini MTF Oscillator (Anchored Summary)
An additional oscillator plot displays the anchored average %K across all five timeframes, along with a short smoothed signal line.
This provides a compact visual summary of the table’s combined momentum state.
4) Projection Clone and Timing Annotations (Optional)
An optional projection feature copies a selected historical segment of the composite momentum curve (defined by start/end bars-back) and shifts it forward in time.
Optional normalization rescales the copied segment to the recent oscillator range for visual comparability.
When projected segments contain internal cross-events, optional annotations may appear in the indicator pane:
vertical dotted timing markers
small directional arrows at the approximate crossing level
These annotations highlight timing reference points inside the projected pattern. They are not trade signals or predictions.
How to Use
Use the composite momentum line to observe whether momentum is strengthening or weakening across multiple timeframes.
Use the table to confirm whether higher-timeframe momentum aligns with lower-timeframe momentum or shows disagreement.
Use bars-back anchors to study historical alignment at specific points in time.
Use the projection clone as a pattern comparison and rhythm study tool, not as a forecast.
Notes and Limitations
Projection patterns are visual references and may not repeat.
Table weights and grades represent a classification framework, not universal truth.
Projection markers and arrows indicate internal timing events within the projected pattern; they are not buy or sell commands.
This script does not predict price, guarantee outcomes, or provide financial advice.
Market DashboardMarket Dashboard - Trend vs Chop Detection
A comprehensive intraday market internals dashboard that displays five key metrics to help traders quickly identify whether the market is in a trending or sideways/rotational regime.
METRICS DISPLAYED:
1. VOLD Ratio - Up Volume / Down Volume ratio for NYSE
• > +2.0 = Strong buying pressure (green)
• < -2.0 = Strong selling pressure (red)
• Between -2 and +2 = Neutral/rotational (gray)
2. RVOL - Relative Volume compared to same time over past N days
• > 1.5 = Above-average participation (orange)
• < 0.7 = Below-average participation (blue)
• Otherwise neutral (gray)
3. Breadth % - Net percentage of advancing vs declining issues
• > +30% = Broad upside participation (green)
• < -30% = Broad downside participation (red)
• Between -30% and +30% = Mixed/rotational (gray)
4. ADR Used % - Session range utilization vs 5-day Average Daily Range
• > 80% = Extended move, potential exhaustion (orange)
• < 30% = Compressed, room to move (blue)
• Otherwise neutral (gray)
5. TICK - NYSE TICK Index with sentiment label
• > +600 = Strong uptick pressure (green)
• < -600 = Strong downtick pressure (red)
• Between -600 and +600 = Neutral (gray)
HOW TO READ:
Trending Day Signals:
• VOLD > ±2.5 + Breadth > ±50% + TICK sustained in one direction + RVOL > 1.5 + ADR climbing = Strong trend, trade with pullbacks
Sideways/Chop Signals:
• VOLD oscillating ±2 + Breadth flipping around 0% + TICK whipping + RVOL < 1.2 + ADR mean-reverting = Range-bound, fade extremes or stand aside
CUSTOMIZATION:
• Adjustable ADR length (default 5 days)
• Adjustable RVOL lookback period (default 10 days, 30 bars)
• Table position selector (9 positions available)
Perfect for ES, NQ, and other index futures traders who need quick regime assessment at a glance.






















