Indicators and strategies
Momentum Trend & Ignition DashboardDescription
Rationale & Originality Traders often struggle with chart clutter, needing separate indicators for Moving Averages, Volume anomalies, and Fundamental stats (like 52-week highs or Float). This script solves this problem by creating a unified "Momentum Dashboard." It is not just a collection of averages; it is a purpose-built tool for Breakout and Trend Following strategies (such as CAN SLIM or VCP).
The uniqueness of this script lies in its "Confluence Logic": it allows a trader to instantly validate a setup by checking three pillars simultaneously without changing tabs:
Trend: Are the key MAs (20, 50, 100, 200) stacked correctly?
Ignition: Is there a "Power Play" (Big Price Move + Heavy Volume) occurring right now?
Stats: Is the stock near its 52-week high, and does it have a supportive Up/Down Volume Ratio?
How It Works (Detailed Calculations)
1. Custom Trend Ribbon (4x MA Mix):
The script plots 4 independent Moving Averages.
Innovation: Unlike standard inputs, each MA can be individually toggled between SMA (Simple) or EMA (Exponential). This allows traders to mix "Fast" trend lines (e.g., 10 or 20 EMA) with "Slow" institutional lines (e.g., 50 or 200 SMA) in one overlay.
2. "Purple Dot" Ignition Detection:
This features a custom detection algorithm for "Ignition Bars."
Logic: It compares the current candle's Close to the previous Close. If the move exceeds a user-defined threshold (default 5%) AND the Volume exceeds a fixed liquidity threshold (default 500k), a Purple Dot is plotted.
This filters out "low volume drift" and highlights true institutional participation.
3. Relative Volume (RVol) Engine:
Calculates the ratio of Current Volume to the 50-period SMA of Volume.
Visuals: If the ratio exceeds the user threshold (e.g., 1.5x average), the dashboard highlights the data, and optionally the chart bars, alerting the trader to unusual activity.
4. Statistical Dashboard (Data Panel):
Using request.security, the panel fetches daily timeframe data regardless of the chart view.
52-Week & 13-Week H/L: Calculates the percentage distance from these key levels to gauge overhead supply.
U/D Ratio: Calculates the sum of volume on "Up Days" vs. "Down Days" over 50 periods. A value > 1.0 suggests institutional accumulation.
Float %: (Stocks Only) Fetches financial data to show the percentage of shares available for trading.
How to Use This Script
This script is designed for Trend Following and Breakout Trading:
The Setup: Use the Data Panel to find stocks with a U/D Ratio > 1.0 and price within 15% of the 52-Week High.
The Trend: Ensure price is above the MA 2 (set to 50 SMA) and MA 4 (set to 200 SMA) to confirm a Stage 2 uptrend.
The Trigger: Watch for the Purple Dot.
If a Purple Dot appears as price breaks out of a consolidation (base), it confirms institutional buying.
Use the RVol panel to confirm that volume is at least 1.5x normal levels.
Risk Management: Use the MA 1 (set to 20 EMA) as a trailing stop-loss during strong trends.
Settings & Configuration
MAs: Fully adjustable Length and Type (SMA/EMA).
Big Move (Purple Dot): Adjust the % Move based on asset volatility (e.g., use 3% for Large Caps, 10% for Crypto).
Table: The data panel is fully dynamic. You can toggle specific rows (like Float or SMA distance) On/Off to save screen space, and position it anywhere on the chart.
Credits & References
The concept of Relative Volume (RVol) and U/D Ratio is derived from standard Volume Analysis used by William O'Neil.
The "Big Move" combined with Volume thresholds is based on standard Volume Spread Analysis (VSA) concepts regarding "Effort vs. Result."
Financial data fetch (Float) utilizes TradingView's built-in financial() library.
Simple Volume IndicatorVolume is an important indicator in technical analysis because it is used to measure the relative significance of a market move.
The higher the volume during a price move, the more significant the move and the lower the volume during a price move, the less significant the move.
here i made some changes using Significant volume which helps to see the Price moment
Black = Unconsumed Selling
Blue = Exceptional Buying Strength
Yellow = Demand Strength
The Supply–Demand Battle
Think of it like this:
Black bar = supply waiting to be absorbed.
Blue = demand stepping in to absorb supply.
Yellow = Strength of move
If Black dominate without follow-up blue/yellow, price struggles.
If blue/yelow appear after Black, it signals buyers are winning.
Hidden Div ALERT ONLY v1.9 1. This script detects **price-anchored hidden divergences** for trend continuation, not reversals.
2. It uses **price pivots** as the reference and reads **RSI at the exact pivot candle**.
3. **Hidden Bearish**: lower high in price with higher high in RSI → bearish trend continuation.
4. **Hidden Bullish**: higher low in price with lower low in RSI → bullish trend continuation.
5. A **RefLock mechanism** prevents small or noisy pivots from overwriting the main swing.
6. **Min/Max gap filters** ensure only valid swing structures are evaluated.
7. Optional **EMA, RSI range, and volume filters** help align signals with market context.
8. The script is **alert-only**, non-repainting, and optimized for **mobile use**.
9. Designed for **set-and-forget trading**, alerts trigger execution without watching the chart.
EMA Trend + ADX Filter Sonia'sThis script lets you use EMA of your choice which only become a cloud when the ADX is at 25 or over, which confirms a trend. Enjoy!
SMC Support/Resistance BOS RBS StrategyThis strategy combines Smart Money Concepts (SMC) with Support & Resistance trading to capture high-probability reversal and continuation setups.
Key features:
Break of Structure (BOS): Confirms market direction before entering trades.
Role Reversal (RBS): Trades levels that have flipped roles (Support → Resistance or Resistance → Support).
Support & Resistance: Uses pivot-based levels to identify key reaction zones.
Risk Management: Fixed 10% stop loss and 50% take profit, giving a strong 1:5 reward-to-risk ratio.
Long & Short Entries: Trades both bullish and bearish setups with clear confirmation rules.
✅ Works best on Forex, Crypto, and Indices
✅ Suitable for 1H, 4H, and Daily timeframes
✅ Focused on trend and reversal opportunities
SLT Daily Range StatsThis indicator shows a table with stats regarding the Median Daily Range, and the Median Initial Balance Daily range.
The table shows:
CDR - Current daily range (and current % of median daily range)
MDR - Median Daily Range
IB - Todays Initial Balance
MIB - The Median Initial Balance
Market Bias Dashboard (SPY/QQQ/IWM) + Strength Bias (v6)A script to auto plot PDH/PDL/PMH/PML as well as the option to toggle ORB and VWAP with a dashboard that tracks IWM/QQQ/SPY bias based on price in relation to these options along with whatever 3 EMAs you want to use.
First Opening Price of the YearOverview
This indicator identifies and plots the opening price of the first trading session of the calendar year. The "Yearly Open" is a significant psychological level for traders and institutions, often serving as a major pivot point for the entire year's trend.
How it Works
The script utilizes Pine Script v5's persistent variables to track the year change.
Detection: It compares the current bar's year (year) with the previous bar's year (year ).
Storage: When a discrepancy is found (indicating a new year has started), the script captures the open price of that specific bar.
Persistence: Using the var keyword, this price is stored in memory and carried forward for every subsequent bar of the year without being recalculated.
Visualization: The price is plotted as a series of blue crosses (style_cross) to clearly mark the level on the chart.
Chart Analysis & Examples
The following examples demonstrate how this simple level dictates market structure across different assets:
Historical Pivot Points (S&P 500):
This chart demonstrates how the Yearly Open acts as a critical pivot. Notice in 2022 how price struggled around the open before dropping, while in 2023 and 2024, the yearly open provided a solid base for the subsequent rallies.
Trend Confirmation (Bitcoin):
In strong trending markets, the Yearly Open serves as a trailing support. As seen in this Bitcoin example, price maintaining its position above the blue line confirms a sustained bullish bias for the year, acting as a "floor" for the trend.
Market Structure & Bias (Gold):
This example highlights the "Line in the Sand" concept. The indicator clearly marks the starting point of the year, allowing traders to instantly gauge if the asset is net positive or negative year-to-date. It filters out the noise and focuses on the macro direction.
How to Use
Traders can use this indicator to determine the higher-timeframe bias:
Bullish Bias: When the current price is trading above the blue crosses, the market is considered to be positive relative to the start of the year.
Bearish Bias: When the current price is trading below the blue crosses, the market is negative relative to the start of the year.
Settings
This script is "plug and play" and requires no manual input adjustments. It automatically detects the timeframe and year changes based on the chart data provided.
Disclaimer
This tool is for informational purposes only and DOES NOT constitute financial advice. Always manage your risk appropriately.
Previous HLC Single ChoiceThis indicator allows traders to visualize the High, Low, and Close (HLC) levels of a previous timeframe directly on their current chart. By plotting these key levels from a higher timeframe, traders can identify significant support and resistance zones, potential breakout levels, and the overall market context without needing to switch back and forth between different chart intervals.
How it Works
The script utilizes the request.security() function to fetch the High, Low, and Close data from the previous completed bar of a user-selected timeframe.
Unlike static multi-timeframe indicators that might clutter the chart with too many lines, this script is designed for simplicity and flexibility. It uses the input.timeframe functionality, allowing you to select any standard or custom timeframe available on TradingView (e.g., 4-hour, Daily, Weekly, 3-Month, 12-Month) via a simple dropdown menu.
Once a timeframe is selected, the indicator plots three distinct lines:
Green Line: The High of the previous timeframe.
Red Line: The Low of the previous timeframe.
Orange Line: The Close of the previous timeframe.
Usage Examples
These levels often act as dynamic support and resistance.
Breakouts: A move above the previous timeframe's High can signal bullish strength.
Breakdowns: A drop below the previous timeframe's Low can signal bearish weakness.
Ranges: The space between the High and Low often defines the trading range for the current session.
Screenshots
Ethereum (1D Chart / 6M Levels):
Here we see the 6-Month High, Low, and Close plotted on a Daily chart. Note how the previous 6-month levels frame the long-term trend.
Silver (2h Chart / 1W Levels):
This example shows Silver on a 2-hour chart with Weekly levels. This is useful for intraday traders looking for weekly pivots.
EURUSD (30m Chart / 480m Levels):
A granular look at the Euro on a 30-minute chart using an 8-hour (480m) timeframe overlay. This helps identify mid-session reversals.
Apple (1D Chart / 3M Levels):
Apple stock on a Daily chart with Quarterly (3-Month) levels, highlighting major structural levels for swing trading.
Settings
Choose Timeframe: Select the specific timeframe you wish to overlay (Default is 3 Months).
Disclaimer
This script is for educational and informational purposes only. It DOES NOT constitute financial advice. Past performance is not indicative of future results. Always do your own research and risk management before trading.
DTS Momentum Dot Plot (MACD / STOCH / RSI)This comes from Treyding Stocks Famous Dot Plot, but for think or swim. When the green and red dots align, then it is a good opportunity for a buy or sell. It is the MACD, MACD Histogram, Fast Stochastic, the slow stochastic and the RSI, t
You can also add alerts when all lines turn green or red!
Enjoy!
Gold Macro Projection ModelGOLD MACRO PROJECTION MODEL
Multi-Factor Fair Value Estimation for Gold
OVERVIEW
The Gold Macro Projection Model estimates gold's fair value based on its historical relationships with key macroeconomic drivers. By synthesizing data from silver , M2 money supply , the US Dollar Index , TIPS (real rates proxy) , and major equity indices , this indicator projects where gold should theoretically be trading—helping traders identify potential overvaluation and undervaluation conditions.
HOW IT WORKS
This indicator employs three complementary projection methodologies :
Correlation-Weighted Z-Score Composite (50% weight)
Calculates rolling correlations between gold and each input factor. Factors with stronger correlations receive more influence. Each factor is normalized to a z-score, combined into a composite, then converted back to gold's price scale.
Silver/Gold Ratio Mean Reversion (35% weight)
The silver/gold ratio historically exhibits mean-reverting behavior. This component projects gold's implied price based on current silver prices and the historical average ratio.
M2 Money Supply Relationship (15% weight)
Gold tracks monetary expansion over long time horizons. This anchors the projection to the fundamental relationship between gold and the monetary base.
INPUT FACTORS
Silver — Strong positive correlation; precious metals move together
M2 Money Supply — Positive correlation; gold as inflation hedge
US Dollar Index (DXY) — Typically negative correlation; inverse relationship
TIPS ETF — Real interest rate proxy; gold responds to real yields
Equity Indices — Variable correlation; risk-on/risk-off dynamics
VISUAL ELEMENTS
Yellow Line — Actual gold price
Aqua Line — Projected fair value
Green Fill — Gold trading below projection (potentially undervalued)
Red Fill — Gold trading above projection (potentially overvalued)
Aqua Bands — Standard deviation envelope around projection
INFO TABLE
The indicator displays a real-time information panel showing:
Current actual vs. projected price
Divergence percentage and Z-score
Rolling correlations for each factor
Dynamic weight allocation
Buy/Sell signal based on divergence extremes
SIGNAL INTERPRETATION
STRONG BUY — Z-score below -2 (extremely undervalued)
BUY — Z-score between -2 and -1 (moderately undervalued)
NEUTRAL — Z-score between -1 and +1 (fairly valued)
SELL — Z-score between +1 and +2 (moderately overvalued)
STRONG SELL — Z-score above +2 (extremely overvalued)
SETTINGS
Correlation Period — Lookback for correlation calculations (default: 60)
Regression Period — Lookback for mean/standard deviation (default: 120)
Smoothing Period — EMA smoothing for projection line (default: 10)
Auto Weights — Toggle between correlation-based or manual weights
Band Multiplier — Standard deviation multiplier for bands (default: 1.5)
ALERTS
Gold Extremely Undervalued — Z crosses below -2
Gold Extremely Overvalued — Z crosses above +2
Gold Crossed Above Projection
Gold Crossed Below Projection
BEST PRACTICES
Use on daily timeframe for most reliable signals
Combine with the companion Gold Divergence Oscillator for timing
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Always use proper risk management.
Silver Projection DivergenceSILVER PROJECTION DIVERGENCE
Standardized Fair Value Divergence Oscillator
OVERVIEW
The Silver Projection Divergence oscillator is the companion indicator to the Silver Macro Projection Model. It quantifies the gap between silver's actual price and its projected fair value, displaying this divergence as a standardized z-score. This format makes it easier to identify extreme conditions and time entries/exits based on mean reversion.
HOW IT WORKS
The oscillator converts raw divergence (Actual Silver - Projected Silver) to a z-score by normalizing against its historical distribution:
Z-Score > 0 - Silver trading ABOVE projected value (overvalued)
Z-Score < 0 - Silver trading BELOW projected value (undervalued)
Z-Score > 2 - Extreme condition (2 standard deviations)
VISUAL ELEMENTS
Main Plot
Green line/histogram - Negative divergence (undervalued)
Red line/histogram - Positive divergence (overvalued)
Color intensity increases when divergence is expanding
Reference Lines
+2 sigma / -2 sigma (dashed) - Extreme zones
+1 sigma / -1 sigma (dotted) - Moderate deviation
Zero line - Fair value equilibrium
Signal Markers
Green Triangle (bottom) - Z-score crosses below -2 (STRONG BUY)
Red Triangle (top) - Z-score crosses above +2 (STRONG SELL)
Background
Light red background - Extreme overvaluation (Z > 2)
Light green background - Extreme undervaluation (Z < -2)
SIGNAL INTERPRETATION
Z > +2.0 - Extreme Overvaluation - STRONG SELL / Take profits
Z +1.0 to +2.0 - Moderate Overvaluation - Caution / Reduce exposure
Z -1.0 to +1.0 - Fair Value Range - Neutral / Hold
Z -2.0 to -1.0 - Moderate Undervaluation - Accumulate / Scale in
Z < -2.0 - Extreme Undervaluation - STRONG BUY signal
COMPONENT TABLE
The bottom-right table breaks down divergence by factor:
Gold Ratio - Deviation from gold-implied fair value
M2 Supply - Divergence from monetary-implied value
DXY Signal - Dollar strength bullish/bearish indication
Equities - Equity market positioning signal
OVERALL - Combined signal with Z-score
TRADING APPLICATIONS
Mean Reversion Strategy
Enter LONG when Z < -2 and begins rising
Enter SHORT when Z > +2 and begins falling
Use zero-line crossings for trend confirmation
Trend Following Filter
Only take long trades when Z < 0 (undervalued)
Only take short trades when Z > 0 (overvalued)
Divergence Confirmation
Bearish: Price makes new highs while Z-score makes lower highs
Bullish: Price makes new lows while Z-score makes higher lows
ALERTS
Extreme Undervaluation - Z crosses below -2
Extreme Overvaluation - Z crosses above +2
Divergence Turned Positive - Crossed above zero
Divergence Turned Negative - Crossed below zero
COMBINED USAGE
For best results, use both with Silver Macro Projection Model - indicator:
Main Indicator - Visual context of actual vs. projected on price chart
Divergence Oscillator - Precise measurement for timing decisions
The main indicator (Silver Macro Projection Model - ) shows where silver should be; this oscillator shows how extreme the mispricing is and when to act.
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Market conditions can alter historical relationships. Always use proper risk management.
VWAP + Hull MA Scalping PRO//@version=6
indicator("VWAP + Hull MA Scalping PRO", overlay=true)
// ================= INPUTS =================
src = input.source(close, "Source")
// Hull MA lengths
len5 = input.int(5, "HMA 5")
len9 = input.int(9, "HMA 9")
len18 = input.int(18, "HMA 18")
len34 = input.int(34, "HMA 34")
// ================= FUNCTIONS =================
hma(src, length) =>
ta.wma(
2 * ta.wma(src, length / 2) - ta.wma(src, length),
math.round(math.sqrt(length))
)
// ================= CALCULATIONS =================
hma5 = hma(src, len5)
hma9 = hma(src, len9)
hma18 = hma(src, len18)
hma34 = hma(src, len34)
vwapVal = ta.vwap(close)
// ================= DYNAMIC COLORS =================
c5 = hma5 > hma5 ? color.lime : color.red
c9 = hma9 > hma9 ? color.green : color.maroon
c18 = hma18 > hma18 ? color.aqua : color.orange
c34 = hma34 > hma34 ? color.blue : color.purple
// ================= TREND LOGIC =================
bullTrend = hma5 > hma9 and hma9 > hma18 and hma18 > hma34 and close > vwapVal
bearTrend = hma5 < hma9 and hma9 < hma18 and hma18 < hma34 and close < vwapVal
// ================= ENTRY SIGNALS =================
buySignal = bullTrend and ta.crossover(hma5, hma9)
sellSignal = bearTrend and ta.crossunder(hma5, hma9)
// ================= PLOTS =================
plot(vwapVal, "VWAP", color=color.yellow, linewidth=2)
plot(hma5, "HMA 5", color=c5, linewidth=2)
plot(hma9, "HMA 9", color=c9, linewidth=2)
plot(hma18, "HMA 18", color=c18, linewidth=2)
plot(hma34, "HMA 34", color=c34, linewidth=2)
// ================= SIGNAL MARKERS =================
plotshape(buySignal, title="BUY", location=location.belowbar,
color=color.lime, style=shape.triangleup, size=size.small, text="BUY")
plotshape(sellSignal, title="SELL", location=location.abovebar,
color=color.red, style=shape.triangledown, size=size.small, text="SELL")
// ================= BACKGROUND TREND =================
bgcolor(bullTrend ? color.new(color.green, 92) :
bearTrend ? color.new(color.red, 92) : na)
// ================= ALERTS =================
alertcondition(buySignal, title="BUY Alert", message="{{ticker}} BUY | VWAP + HMA")
alertcondition(sellSignal, title="SELL Alert", message="{{ticker}} SELL | VWAP + HMA")
Q# ML Logistic Regression Indicator [Lite]
Q TechLabs MLLR Lite — Machine Learning Logistic Regression Trading Indicator
© Q# Tech Labs 2025 Developed by Team Q TechLabs
Overview
Q# MLLR Lite is an open-source, lightweight TradingView indicator implementing a logistic regression model to generate buy/sell signals based on engineered price features. This “lite” version is designed for broad community access and serves as a foundation for the upcoming Pro version with advanced features and integration.
Features
Logistic Regression-based buy/sell signal generation
Customizable price source input (Open, High, Low, Close, HL2, HLC3, OHLC4)
Adjustable signal threshold and smoothing parameters
Signal confidence plotted in a separate pane
Alert conditions for buy and sell signals
Fully documented, clean Pine Script (v6) code for easy customization
Installation
Open TradingView and navigate to the Pine Script editor
Create a new script and paste the full content of the Q# MLLR Lite Pine Script
Save and add to chart
Configure inputs as needed for your trading style
Licensing
Q# MLLR Lite is provided under the MIT License, promoting open use, modification, and community collaboration with attributi
Q# MLLR Lite — Machine Learning Logistic Regression Trading Indicator
© Q# Tech Labs 2025 — Developed by Team Q#
Overview
Q# MLLR Lite is an open-source, lightweight TradingView indicator implementing a logistic regression model to generate buy/sell signals based on engineered price features. This “lite” version is designed for broad community access and serves as a foundation for the upcoming Pro version with advanced features and integration.
Features
Logistic Regression-based buy/sell signal generation
Customizable price source input (Open, High, Low, Close, HL2, HLC3, OHLC4)
Adjustable signal threshold and smoothing parameters
Signal confidence plotted in a separate pane
Alert conditions for buy and sell signals
Fully documented, clean Pine Script (v6) code for easy customization
Installation
Open TradingView and navigate to the Pine Script editor
Create a new script and paste the full content of the Q# MLLR Lite Pine Script
Save and add to chart
Configure inputs as needed for your trading style
Licensing
Q# MLLR Lite is provided under the MIT License, promoting open use, modification, and community collaboration with attribution.
Copyright (c) 2025 Q# Tech Labs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
ChromaFlows Momentum Index - Consensus Engine V1.2ChromaFlows Momentum Index — Conceptual Description
Overview
ChromaFlows Momentum Index is a momentum-analysis tool designed to evaluate trend quality and directional agreement by combining multiple oscillators into a single consensus-based system.
Rather than displaying independent signals from separate indicators, this script produces output only when all internal engines align, filtering out conflicting or low-quality momentum conditions.
The goal is not to generate standalone trading signals, but to provide a clear visual representation of momentum consensus and regime strength.
Conceptual Architecture
The indicator is built around three momentum engines, each assigned a distinct functional role:
Slow Stochastic — acts as the primary momentum baseline, defining the broader overbought/oversold context.
Fast Stochastic — functions as a short-term acceleration filter, detecting rapid changes in momentum relative to the baseline.
RSI — serves as a regime validator, confirming whether momentum conditions are stable enough to be considered directional.
These components are not averaged or displayed independently.
Each engine is conditionally dependent on the others.
Interaction & Consensus Logic
ChromaFlows uses a strict consensus model:
A directional state is produced only when all momentum engines agree on direction.
If even one engine diverges, the system suppresses directional output and enters a neutral state.
This logic prevents partial or conflicting momentum signals from being displayed and reduces noise commonly produced by single-indicator oscillators.
The resulting output represents agreement quality, not raw oscillator values.
Visual Output & Interpretation
The main oscillator wave represents the current momentum state derived from the consensus logic:
Bullish Consensus — all engines aligned to the upside
Bearish Consensus — all engines aligned to the downside
Neutral State — disagreement or low-quality momentum
Additional visual elements (signal markers and trend filters) are derived from the same internal state, providing contextual confirmation rather than independent signals.
These visuals are intended to help users interpret momentum context, not to automate execution.
Originality & Purpose
This script is not a visual mashup of existing indicators.
Its output cannot be replicated by observing the individual components separately, as the system’s behavior depends on conditional interaction and suppression logic between engines.
By requiring full agreement before displaying momentum states, ChromaFlows emphasizes momentum clarity over signal frequency, making it suitable as a contextual analysis layer within broader trading frameworks.
Usage Notes
ChromaFlows Momentum Index is a visual analysis tool designed to assist with market interpretation.
It does not provide investment advice or guarantee outcomes and should be used in conjunction with other forms of analysis and risk management.
Version Notes (V1.2)
• Expanded divergence detection logic added for SMI line for improved momentum context
• Minor internal optimizations and code refinements
Gold Projection DivergenceGOLD PROJECTION DIVERGENCE
Oscillator Companion for the Gold Macro Projection Model
OVERVIEW
The Gold Projection Divergence oscillator quantifies how far gold is trading from its projected fair value. While the main indicator shows where gold should be, this oscillator shows how extreme the mispricing is—providing precise timing signals for entries and exits.
HOW IT WORKS
The oscillator calculates the difference between actual gold price and the projected value, then normalizes it as a Z-score . This statistical measure shows how many standard deviations gold is trading away from its projected fair value.
Z > +2 — Gold is 2+ standard deviations above fair value (extremely overvalued)
Z > +1 — Gold is moderately overvalued
Z = 0 — Gold is trading at projected fair value
Z < -1 — Gold is moderately undervalued
Z < -2 — Gold is 2+ standard deviations below fair value (extremely undervalued)
VISUAL ELEMENTS
Histogram — Color-coded divergence magnitude
Yellow Line — Smoothed Z-score
Dashed Lines — +2 and -2 standard deviation levels
Dotted Lines — +1 and -1 standard deviation levels
Triangle Markers — Extreme crossover signals
Circle Markers — Zero-line crossings
HISTOGRAM COLORS
Dark Red — Z > +2 (extreme overvaluation)
Orange — Z between +1 and +2
Light Orange — Z between 0 and +1
Light Green — Z between -1 and 0
Green — Z between -2 and -1
Lime — Z < -2 (extreme undervaluation)
COMPONENT TABLE
The breakdown table shows divergence from each individual factor:
Silver — Is gold over/undervalued relative to silver?
M2 — Is gold over/undervalued relative to money supply?
DXY — Is gold over/undervalued relative to dollar strength?
Equity — Is gold over/undervalued relative to stocks?
TIPS — Is gold over/undervalued relative to real rates?
TRADING APPLICATIONS
Mean Reversion Strategy
Enter LONG when Z < -2 and begins rising
Enter SHORT when Z > +2 and begins falling
Use zero-line crossings for trend confirmation
Trend Following Filter
Only take long trades when Z < 0 (undervalued)
Only take short trades when Z > 0 (overvalued)
Divergence Confirmation
Bearish: Price makes new highs while Z-score makes lower highs
Bullish: Price makes new lows while Z-score makes higher lows
ALERTS
Extreme Undervaluation — Z crosses below -2
Extreme Overvaluation — Z crosses above +2
Moderate Undervaluation — Z crosses below -1
Moderate Overvaluation — Z crosses above +1
Divergence Turned Positive — Crossed above zero
Divergence Turned Negative — Crossed below zero
COMBINED USAGE
For best results, use both indicators together :
Main Indicator — Visual context of actual vs. projected on price chart
Divergence Oscillator — Precise measurement for timing decisions
The main indicator shows where gold should be; the oscillator shows how extreme the mispricing is and when to act.
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Market conditions can alter historical relationships. Always use proper risk management.
8 AM (UTC-5) 1-Hour Candle High/Low Box This indicator creates a box for the 8 am (UTC-5) 1-hour candle and will delete on the chart once both the high and low is swept. When one side is swept, the box will turn orange.
Relative Strength by MomentradeRelative Strength Indicator (Index Comparison)
This Pine Script indicator displays the Relative Strength (RS) of the selected instrument compared to a benchmark index, primarily designed for Nifty. It measures performance comparison, helping traders identify whether the asset is outperforming or underperforming the index over a chosen period.
A rising Relative Strength line indicates outperformance, while a falling line signals underperformance. This tool is ideal for trend confirmation, stock selection, and strength-based trading, allowing users to focus on strong assets during bullish markets and avoid weak ones. The indicator is fully customizable and can be applied to any index, stock, or timeframe.
arraysLibrary "arrays"
Supplementary array methods.
method delete(arr, index)
remove int object from array of integers at specific index
Namespace types: array
Parameters:
arr (array) : int array
index (int) : index at which int object need to be removed
Returns: void
method delete(arr, index)
remove float object from array of float at specific index
Namespace types: array
Parameters:
arr (array) : float array
index (int) : index at which float object need to be removed
Returns: float
method delete(arr, index)
remove bool object from array of bool at specific index
Namespace types: array
Parameters:
arr (array) : bool array
index (int) : index at which bool object need to be removed
Returns: bool
method delete(arr, index)
remove string object from array of string at specific index
Namespace types: array
Parameters:
arr (array) : string array
index (int) : index at which string object need to be removed
Returns: string
method delete(arr, index)
remove color object from array of color at specific index
Namespace types: array
Parameters:
arr (array) : color array
index (int) : index at which color object need to be removed
Returns: color
method delete(arr, index)
remove chart.point object from array of chart.point at specific index
Namespace types: array
Parameters:
arr (array) : chart.point array
index (int) : index at which chart.point object need to be removed
Returns: void
method delete(arr, index)
remove line object from array of lines at specific index and deletes the line
Namespace types: array
Parameters:
arr (array) : line array
index (int) : index at which line object need to be removed and deleted
Returns: void
method delete(arr, index)
remove label object from array of labels at specific index and deletes the label
Namespace types: array
Parameters:
arr (array) : label array
index (int) : index at which label object need to be removed and deleted
Returns: void
method delete(arr, index)
remove box object from array of boxes at specific index and deletes the box
Namespace types: array
Parameters:
arr (array) : box array
index (int) : index at which box object need to be removed and deleted
Returns: void
method delete(arr, index)
remove table object from array of tables at specific index and deletes the table
Namespace types: array
Parameters:
arr (array) : table array
index (int) : index at which table object need to be removed and deleted
Returns: void
method delete(arr, index)
remove linefill object from array of linefills at specific index and deletes the linefill
Namespace types: array
Parameters:
arr (array) : linefill array
index (int) : index at which linefill object need to be removed and deleted
Returns: void
method delete(arr, index)
remove polyline object from array of polylines at specific index and deletes the polyline
Namespace types: array
Parameters:
arr (array) : polyline array
index (int) : index at which polyline object need to be removed and deleted
Returns: void
method popr(arr)
remove last int object from array
Namespace types: array
Parameters:
arr (array) : int array
Returns: int
method popr(arr)
remove last float object from array
Namespace types: array
Parameters:
arr (array) : float array
Returns: float
method popr(arr)
remove last bool object from array
Namespace types: array
Parameters:
arr (array) : bool array
Returns: bool
method popr(arr)
remove last string object from array
Namespace types: array
Parameters:
arr (array) : string array
Returns: string
method popr(arr)
remove last color object from array
Namespace types: array
Parameters:
arr (array) : color array
Returns: color
method popr(arr)
remove last chart.point object from array
Namespace types: array
Parameters:
arr (array) : chart.point array
Returns: void
method popr(arr)
remove and delete last line object from array
Namespace types: array
Parameters:
arr (array) : line array
Returns: void
method popr(arr)
remove and delete last label object from array
Namespace types: array
Parameters:
arr (array) : label array
Returns: void
method popr(arr)
remove and delete last box object from array
Namespace types: array
Parameters:
arr (array) : box array
Returns: void
method popr(arr)
remove and delete last table object from array
Namespace types: array
Parameters:
arr (array) : table array
Returns: void
method popr(arr)
remove and delete last linefill object from array
Namespace types: array
Parameters:
arr (array) : linefill array
Returns: void
method popr(arr)
remove and delete last polyline object from array
Namespace types: array
Parameters:
arr (array) : polyline array
Returns: void
method shiftr(arr)
remove first int object from array
Namespace types: array
Parameters:
arr (array) : int array
Returns: int
method shiftr(arr)
remove first float object from array
Namespace types: array
Parameters:
arr (array) : float array
Returns: float
method shiftr(arr)
remove first bool object from array
Namespace types: array
Parameters:
arr (array) : bool array
Returns: bool
method shiftr(arr)
remove first string object from array
Namespace types: array
Parameters:
arr (array) : string array
Returns: string
method shiftr(arr)
remove first color object from array
Namespace types: array
Parameters:
arr (array) : color array
Returns: color
method shiftr(arr)
remove first chart.point object from array
Namespace types: array
Parameters:
arr (array) : chart.point array
Returns: void
method shiftr(arr)
remove and delete first line object from array
Namespace types: array
Parameters:
arr (array) : line array
Returns: void
method shiftr(arr)
remove and delete first label object from array
Namespace types: array
Parameters:
arr (array) : label array
Returns: void
method shiftr(arr)
remove and delete first box object from array
Namespace types: array
Parameters:
arr (array) : box array
Returns: void
method shiftr(arr)
remove and delete first table object from array
Namespace types: array
Parameters:
arr (array) : table array
Returns: void
method shiftr(arr)
remove and delete first linefill object from array
Namespace types: array
Parameters:
arr (array) : linefill array
Returns: void
method shiftr(arr)
remove and delete first polyline object from array
Namespace types: array
Parameters:
arr (array) : polyline array
Returns: void
method push(arr, val, maxItems)
add int to the end of an array with max items cap. Objects are removed from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : int array
val (int) : int object to be pushed
maxItems (int) : max number of items array can hold
Returns: int
method push(arr, val, maxItems)
add float to the end of an array with max items cap. Objects are removed from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : float array
val (float) : float object to be pushed
maxItems (int) : max number of items array can hold
Returns: float
method push(arr, val, maxItems)
add bool to the end of an array with max items cap. Objects are removed from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : bool array
val (bool) : bool object to be pushed
maxItems (int) : max number of items array can hold
Returns: bool
method push(arr, val, maxItems)
add string to the end of an array with max items cap. Objects are removed from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : string array
val (string) : string object to be pushed
maxItems (int) : max number of items array can hold
Returns: string
method push(arr, val, maxItems)
add color to the end of an array with max items cap. Objects are removed from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : color array
val (color) : color object to be pushed
maxItems (int) : max number of items array can hold
Returns: color
method push(arr, val, maxItems)
add chart.point to the end of an array with max items cap. Objects are removed and deleted from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : chart.point array
val (chart.point) : chart.point object to be pushed
maxItems (int) : max number of items array can hold
Returns: chart.point
method push(arr, val, maxItems)
add line to the end of an array with max items cap. Objects are removed and deleted from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : line array
val (line) : line object to be pushed
maxItems (int) : max number of items array can hold
Returns: line
method push(arr, val, maxItems)
add label to the end of an array with max items cap. Objects are removed and deleted from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : label array
val (label) : label object to be pushed
maxItems (int) : max number of items array can hold
Returns: label
method push(arr, val, maxItems)
add box to the end of an array with max items cap. Objects are removed and deleted from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : box array
val (box) : box object to be pushed
maxItems (int) : max number of items array can hold
Returns: box
method push(arr, val, maxItems)
add table to the end of an array with max items cap. Objects are removed and deleted from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : table array
val (table) : table object to be pushed
maxItems (int) : max number of items array can hold
Returns: table
method push(arr, val, maxItems)
add linefill to the end of an array with max items cap. Objects are removed and deleted from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : linefill array
val (linefill) : linefill object to be pushed
maxItems (int) : max number of items array can hold
Returns: linefill
method push(arr, val, maxItems)
add polyline to the end of an array with max items cap. Objects are removed and deleted from start to maintain max items cap
Namespace types: array
Parameters:
arr (array) : polyline array
val (polyline) : polyline object to be pushed
maxItems (int) : max number of items array can hold
Returns: polyline
method unshift(arr, val, maxItems)
add int to the beginning of an array with max items cap. Objects are removed from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : int array
val (int) : int object to be unshift
maxItems (int) : max number of items array can hold
Returns: int
method unshift(arr, val, maxItems)
add float to the beginning of an array with max items cap. Objects are removed from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : float array
val (float) : float object to be unshift
maxItems (int) : max number of items array can hold
Returns: float
method unshift(arr, val, maxItems)
add bool to the beginning of an array with max items cap. Objects are removed from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : bool array
val (bool) : bool object to be unshift
maxItems (int) : max number of items array can hold
Returns: bool
method unshift(arr, val, maxItems)
add string to the beginning of an array with max items cap. Objects are removed from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : string array
val (string) : string object to be unshift
maxItems (int) : max number of items array can hold
Returns: string
method unshift(arr, val, maxItems)
add color to the beginning of an array with max items cap. Objects are removed from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : color array
val (color) : color object to be unshift
maxItems (int) : max number of items array can hold
Returns: color
method unshift(arr, val, maxItems)
add chart.point to the beginning of an array with max items cap. Objects are removed and deleted from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : chart.point array
val (chart.point) : chart.point object to be unshift
maxItems (int) : max number of items array can hold
Returns: chart.point
method unshift(arr, val, maxItems)
add line to the beginning of an array with max items cap. Objects are removed and deleted from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : line array
val (line) : line object to be unshift
maxItems (int) : max number of items array can hold
Returns: line
method unshift(arr, val, maxItems)
add label to the beginning of an array with max items cap. Objects are removed and deleted from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : label array
val (label) : label object to be unshift
maxItems (int) : max number of items array can hold
Returns: label
method unshift(arr, val, maxItems)
add box to the beginning of an array with max items cap. Objects are removed and deleted from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : box array
val (box) : box object to be unshift
maxItems (int) : max number of items array can hold
Returns: box
method unshift(arr, val, maxItems)
add table to the beginning of an array with max items cap. Objects are removed and deleted from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : table array
val (table) : table object to be unshift
maxItems (int) : max number of items array can hold
Returns: table
method unshift(arr, val, maxItems)
add linefill to the beginning of an array with max items cap. Objects are removed and deleted from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : linefill array
val (linefill) : linefill object to be unshift
maxItems (int) : max number of items array can hold
Returns: linefill
method unshift(arr, val, maxItems)
add polyline to the beginning of an array with max items cap. Objects are removed and deleted from end to maintain max items cap
Namespace types: array
Parameters:
arr (array) : polyline array
val (polyline) : polyline object to be unshift
maxItems (int) : max number of items array can hold
Returns: polyline
method isEmpty(arr)
checks if an int array is either null or empty
Namespace types: array
Parameters:
arr (array) : int array
Returns: bool
method isEmpty(arr)
checks if a float array is either null or empty
Namespace types: array
Parameters:
arr (array) : float array
Returns: bool
method isEmpty(arr)
checks if a string array is either null or empty
Namespace types: array
Parameters:
arr (array) : string array
Returns: bool
method isEmpty(arr)
checks if a bool array is either null or empty
Namespace types: array
Parameters:
arr (array) : bool array
Returns: bool
method isEmpty(arr)
checks if a color array is either null or empty
Namespace types: array
Parameters:
arr (array) : color array
Returns: bool
method isEmpty(arr)
checks if a chart.point array is either null or empty
Namespace types: array
Parameters:
arr (array) : chart.point array
Returns: bool
method isEmpty(arr)
checks if a line array is either null or empty
Namespace types: array
Parameters:
arr (array) : line array
Returns: bool
method isEmpty(arr)
checks if a label array is either null or empty
Namespace types: array
Parameters:
arr (array) : label array
Returns: bool
method isEmpty(arr)
checks if a box array is either null or empty
Namespace types: array
Parameters:
arr (array) : box array
Returns: bool
method isEmpty(arr)
checks if a linefill array is either null or empty
Namespace types: array
Parameters:
arr (array) : linefill array
Returns: bool
method isEmpty(arr)
checks if a polyline array is either null or empty
Namespace types: array
Parameters:
arr (array) : polyline array
Returns: bool
method isEmpty(arr)
checks if a table array is either null or empty
Namespace types: array
Parameters:
arr (array) : table array
Returns: bool
method isNotEmpty(arr)
checks if an int array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : int array
Returns: bool
method isNotEmpty(arr)
checks if a float array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : float array
Returns: bool
method isNotEmpty(arr)
checks if a string array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : string array
Returns: bool
method isNotEmpty(arr)
checks if a bool array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : bool array
Returns: bool
method isNotEmpty(arr)
checks if a color array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : color array
Returns: bool
method isNotEmpty(arr)
checks if a chart.point array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : chart.point array
Returns: bool
method isNotEmpty(arr)
checks if a line array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : line array
Returns: bool
method isNotEmpty(arr)
checks if a label array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : label array
Returns: bool
method isNotEmpty(arr)
checks if a box array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : box array
Returns: bool
method isNotEmpty(arr)
checks if a linefill array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : linefill array
Returns: bool
method isNotEmpty(arr)
checks if a polyline array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : polyline array
Returns: bool
method isNotEmpty(arr)
checks if a table array is not null and has at least one item
Namespace types: array
Parameters:
arr (array) : table array
Returns: bool
method flush(arr)
remove all int objects in an array
Namespace types: array
Parameters:
arr (array) : int array
Returns: int
method flush(arr)
remove all float objects in an array
Namespace types: array
Parameters:
arr (array) : float array
Returns: float
method flush(arr)
remove all bool objects in an array
Namespace types: array
Parameters:
arr (array) : bool array
Returns: bool
method flush(arr)
remove all string objects in an array
Namespace types: array
Parameters:
arr (array) : string array
Returns: string
method flush(arr)
remove all color objects in an array
Namespace types: array
Parameters:
arr (array) : color array
Returns: color
method flush(arr)
remove all chart.point objects in an array
Namespace types: array
Parameters:
arr (array) : chart.point array
Returns: chart.point
method flush(arr)
remove and delete all line objects in an array
Namespace types: array
Parameters:
arr (array) : line array
Returns: line
method flush(arr)
remove and delete all label objects in an array
Namespace types: array
Parameters:
arr (array) : label array
Returns: label
method flush(arr)
remove and delete all box objects in an array
Namespace types: array
Parameters:
arr (array) : box array
Returns: box
method flush(arr)
remove and delete all table objects in an array
Namespace types: array
Parameters:
arr (array) : table array
Returns: table
method flush(arr)
remove and delete all linefill objects in an array
Namespace types: array
Parameters:
arr (array) : linefill array
Returns: linefill
method flush(arr)
remove and delete all polyline objects in an array
Namespace types: array
Parameters:
arr (array) : polyline array
Returns: polyline
MA-MTF-12 Overlay📊 MA-MTF-12 Overlay — Indicator Description
■ Overview
MA-MTF-12 Overlay is a multi-timeframe moving average indicator that allows you to display up to 12 moving averages (SMA / EMA) simultaneously, calculated either from the current timeframe (Local) or from higher timeframes (MTF).
It is designed to help traders visualize short-term price action and higher-timeframe market structure on a single chart, enabling clearer trend context and better decision-making.
■ Key Features
✅ Up to 12 Moving Averages
Display MA1–MA12 independently
Choose SMA or EMA for each MA
Fully customizable length, color, and line width
✅ Per-MA Local / MTF Selection
Each moving average can be set individually to:
Local – calculated on the current chart timeframe
MTF – retrieved from a higher timeframe (e.g. 1H, 4H, Daily, Weekly, Monthly)
This allows you to clearly separate entry signals from higher-timeframe trend context.
✅ Confirmed Bar Mode (Repaint Control)
When using MTF, each MA supports Confirmed Bar Mode:
ON – updates only after the higher-timeframe bar is closed (minimal repaint, backtest-friendly)
OFF – follows the current higher-timeframe bar in real time (discretionary trading)
✅ Gap Handling Option
Gaps OFF – higher-timeframe values are filled smoothly (step-style, easier to read)
Gaps ON – values appear only when a higher-timeframe bar updates (theoretical accuracy)
✅ Lightweight & Efficient Design
Each MA includes separate:
Calculation ON / OFF
Display ON / OFF
Unused MAs can be completely disabled, preventing unnecessary calculations and keeping the indicator fast even with multiple MTF sources.
■ Example Use Case
MA1–MA3: Local timeframe MAs for short-term momentum
MA4–MA6: Higher-timeframe MAs (4H / Daily / Weekly) for trend structure
MA7–MA12: Optional layers, disabled by default
This setup makes it easy to understand where price is trading within the broader market context.
■ Who This Indicator Is For
Traders who rely on multi-timeframe trend analysis
Scalpers, day traders, and swing traders who want one-chart clarity
Users concerned about repainting and indicator performance
Anyone who uses moving averages as structural reference points, not just signals
■ Technical Notes
Pine Script v5
Overlay indicator (drawn on price chart)
Multi-timeframe support via request.security()
No alerts or shapes — pure visual analysis
📊 MA-MTF-12 Overlay – インジケーター解説
■ 概要
MA-MTF-12 Overlay** は、
最大12本の移動平均（SMA / EMA）を、現在足（Local）または上位足（MTF）から自由に組み合わせて表示できる**
マルチタイムフレーム対応の高機能MAインジケーターです。
短期足の値動きから、1時間・4時間・日足・週足・月足といった
上位足のトレンド環境を、1つのチャート上で同時に把握**することを目的に設計されています。
---
■ 主な特徴
✅ 最大12本のMAを同時表示
* MA1〜MA12を個別に設定可能
* SMA / EMA をMAごとに選択
* 期間・色・太さもすべて自由にカスタマイズ
---
✅ Local / MTF をMAごとに切替可能
各MAは以下を個別に選択できます。
Local：現在のチャート時間足で計算
MTF：指定した上位足（例：1H / 4H / D / W / M）から取得
👉
短期MAはLocal、
環境認識用MAはMTF、
という役割分担を1つのインジケーターで実現できます。
---
✅ 確定足モード（リペイント制御）
MTF使用時は、確定足モードをMAごとに設定可能。
ON：上位足が確定してから更新（リペイント最小・検証向き）
OFF：上位足の進行中の値もリアルタイムで反映（裁量トレード向き）
用途に応じて柔軟に使い分けられます。
---
✅ ギャップ表示 ON / OFF
OFF：上位足MAを階段状に補完表示（視認性重視）
ON：上位足更新点のみ表示（理論重視）
---
✅ 計算ON / 表示ON を分離した軽量設計
各MAには
計算ON / OFF
表示ON / OFF**
を個別に用意。
使わないMAは計算そのものを停止できるため、
MTFを多用しても**動作が重くなりにくい設計です。
---
■ 想定される使い方
* MA1〜MA3：Local（短期〜中期の勢い把握）
* MA4〜MA6：MTF（4H・日足・週足のトレンド環境）
* MA7〜MA12：必要に応じて追加（初期はOFF）
👉
「今どの時間軸のトレンドの中にいるのか」を
MAだけで直感的に把握できます。
---
■ こんな方におすすめ
* 上位足MAを使った環境認識を重視するトレーダー
* スキャル・デイトレ・スイングを1チャートで完結させたい方
* MTFインジケーターのリペイントや重さが気になる方
* MAを「本数・役割・時間軸」で整理して使いたい方
---
■ 技術仕様
* Pine Script v5
* overlay=true（価格チャート上に表示）
* MTF対応（request.security 使用）
* アラート・シェイプなし（純粋な分析用）
---
