Ever wondered why some traders always seem to hit the perfect market zones — the exact points where buyers or sellers show up like clockwork? Those golden areas can make or break your trade, and if you’re serious about trading, understanding them is everything. The Support & Resistance (MTF) Indicator for Flux Charts is a tool designed to give you a multi-timeframe radar, showing these critical zones with precision and clarity.
Whether you trade forex, stocks, crypto, or commodities, this indicator helps you see where price might bounce, stall, or break out, so you can plan your entries, exits, and risk management more intelligently. In this first part, we’ll dive deep into what this indicator is, why multi-timeframe analysis is crucial, its core features, settings, and some initial practical examples.
What Is the Support & Resistance (MTF) Indicator?
The Support & Resistance (MTF) Indicator is a Pine Script™ tool built by FluxChart on TradingView. Unlike basic indicators that simply draw a few static lines, this one dynamically detects zones across up to three timeframes, giving you a visual map of price levels that matter most.
Here’s what it does:
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Identifies high-probability support and resistance zones
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Detects breakouts and retests
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Allows you to customize zone strength and width
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Sends alerts for critical price reactions
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Optimizes memory so your charts remain smooth even with heavy history
Source: TradingView — FluxChart Support & Resistance MTF Dec 2025
Why Multi-Timeframe Analysis Matters
Understanding support and resistance on a single timeframe is just scratching the surface. Price reacts differently depending on the timeframe:
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Daily chart: Major structural levels, long-term zones
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4-hour chart: Swing-level zones, useful for intermediate trades
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1-hour and lower: Short-term entry and exit points
The MTF indicator overlays these three levels simultaneously, helping you:
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Spot high-confluence zones where multiple timeframes line up
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Avoid trading on weak zones that appear important on a lower timeframe only
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Plan trades with a full picture of market structure
Core Features of the Indicator
Let’s break down why this tool is loved by serious traders:
Multi-Timeframe Zones
You can select up to three timeframes and display their support/resistance zones on one chart. Example combo: 1-hour + 4-hour + daily.
Pivot-Based S/R Detection
The indicator uses pivot logic to determine meaningful zones rather than random lines. It measures:
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How many times price touched a level
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How significant the level is based on historical price action
Zone Strength
You define how strong a zone must be before it’s displayed — more touches = higher confidence.
Dynamic Zone Width
Zones adapt to market volatility using ATR (Average True Range), so wider zones reflect high volatility periods.
Breakout & Retest Alerts
The tool marks when price breaks a zone and when it retests, allowing you to act without staring at charts 24/7.
False Break Filtering
A volume-based filter avoids fake breakouts by confirming the strength behind moves.
Inverse Color Option
Zones automatically flip color when broken (support becomes resistance, resistance becomes support).
Custom Display Options
Show lines, full zones, or both. Label zones by timeframe for clarity.
Performance Optimization
Memory optimization ensures smooth charts even with long history.
Source: TradingView — Indicator Features Dec 2025
Setting Up the Indicator
General Settings
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Support & Resistance Count: Choose 1–3 zones per timeframe
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Pivot Range: Wider = fewer, more meaningful zones; smaller = more sensitivity
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Strength: Number of price touches needed for a zone to appear
Support & Resistance Count: Choose 1–3 zones per timeframe
Pivot Range: Wider = fewer, more meaningful zones; smaller = more sensitivity
Strength: Number of price touches needed for a zone to appear
Timeframe Settings
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Pick up to three timeframes for overlay
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Examples:
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Swing Trading: Daily + 4h + 1h
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Day Trading: 15m + 1h + 4h
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Scalping: 1m + 5m + 15m
Pick up to three timeframes for overlay
Examples:
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Swing Trading: Daily + 4h + 1h
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Day Trading: 15m + 1h + 4h
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Scalping: 1m + 5m + 15m
Zone Styling
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Toggle between lines or full zones
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Adjust zone width (% of ATR) to reflect volatility
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Choose colors: green for support, red for resistance
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Optionally label zones for easier reference
Toggle between lines or full zones
Adjust zone width (% of ATR) to reflect volatility
Choose colors: green for support, red for resistance
Optionally label zones for easier reference
Breaks & Retests
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Show zones broken and retested
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Avoid false breaks using volume filter
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Enable inverse color to see broken zones change automatically
Show zones broken and retested
Avoid false breaks using volume filter
Enable inverse color to see broken zones change automatically
Alerts
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Breakout alerts for immediate action
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Retest alerts for safer entries
Breakout alerts for immediate action
Retest alerts for safer entries
Performance
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Memory optimization for long histories
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Extend lines/zones infinitely for tracking origin and projection
Memory optimization for long histories
Extend lines/zones infinitely for tracking origin and projection
Practical Example — Swing Trading
Let’s take EUR/USD 4-hour chart:
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Multi-timeframe support zone aligns across daily, 4-hour, and 1-hour charts
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Price bounces off this zone → potential long entry
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Stop-Loss: Just below multi-timeframe support
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Take-Profit: Next resistance identified by the indicator
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Pro Tip: Look for candlestick confirmations like bullish engulfing
Source: TradingView — EUR/USD Example Charts Dec 2025
Practical Example — Day Trading
On BTC/USD 15-minute chart:
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Resistance from 1-hour chart is broken
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Entry if volume confirms breakout
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Stop-loss just below breakout zone
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Take-profit near next resistance or Fibonacci extension
Pro Tip: Keep zones minimal on lower timeframes to avoid clutter.
Source: Investopedia — Day Trading Strategies Dec 2025
First Tables — Zone Management
Setting Recommended Use Notes Support & Resistance Count 2–3 per timeframe Avoid clutter Pivot Range Medium Balance sensitivity & strength Strength 3 Validates zones without over-filtering Zone Width 0.05–0.07 Reflect volatility Alerts Break & Retest For active trading Memory Optimization ON Recommended for long histories
| Setting | Recommended Use | Notes |
|---|---|---|
| Support & Resistance Count | 2–3 per timeframe | Avoid clutter |
| Pivot Range | Medium | Balance sensitivity & strength |
| Strength | 3 | Validates zones without over-filtering |
| Zone Width | 0.05–0.07 | Reflect volatility |
| Alerts | Break & Retest | For active trading |
| Memory Optimization | ON | Recommended for long histories |
Source: TradingView Documentation Dec 2025
Advanced Settings & Customization
The real power of this indicator lies in its flexibility and customization. If you want to trade smarter, not harder, you need to understand each setting in detail.
Pivot Range
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What it does: Controls how wide the pivot detection is.
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High pivot range: Fewer but more significant zones, useful for long-term trades.
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Low pivot range: More sensitive, picks up smaller price swings, better for intraday or scalping.
What it does: Controls how wide the pivot detection is.
High pivot range: Fewer but more significant zones, useful for long-term trades.
Low pivot range: More sensitive, picks up smaller price swings, better for intraday or scalping.
Example:
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Daily pivot range set high → only major zones from weekly/daily charts are visible.
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15-minute pivot range set low → captures micro-level swings for scalping.
Source: TradingView Documentation Dec 2025
Zone Strength
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Definition: Number of touches price must make to validate a zone.
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Range: 1–4 (1 = any touch, 4 = very strong).
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Use: Helps filter weak zones and avoid trading on insignificant levels.
Definition: Number of touches price must make to validate a zone.
Range: 1–4 (1 = any touch, 4 = very strong).
Use: Helps filter weak zones and avoid trading on insignificant levels.
Practical Tip:
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Swing trading: use strength 3
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Scalping: strength 1 or 2
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High-strength zones often coincide with long-term trend levels
Zone Width
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Dynamic width: Adapts to market volatility using ATR
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Adjust manually: For tighter or wider zones depending on your style
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Example:
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High volatility crypto → wider zones (0.07 ATR)
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Low volatility forex pair → tighter zones (0.05 ATR)
Dynamic width: Adapts to market volatility using ATR
Adjust manually: For tighter or wider zones depending on your style
Example:
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High volatility crypto → wider zones (0.07 ATR)
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Low volatility forex pair → tighter zones (0.05 ATR)
Source: Investopedia — ATR in Trading Dec 2025
Colors & Styles
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Support zones: default green
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Resistance zones: default red
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Optional opacity adjustment for overlapping zones
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Inverse Color: Automatically flips colors when zones break
Support zones: default green
Resistance zones: default red
Optional opacity adjustment for overlapping zones
Inverse Color: Automatically flips colors when zones break
Practical Tip:
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Use semi-transparent zones to visualize overlapping multi-timeframe confluence
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Change colors per timeframe for clarity (daily = dark, 4h = medium, 1h = light)
Labels & Notes
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Label each zone with timeframe and strength
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Helps quickly identify whether a bounce or breakout aligns with higher timeframe levels
Label each zone with timeframe and strength
Helps quickly identify whether a bounce or breakout aligns with higher timeframe levels
Example: “Daily Support 3 touches” → high-confidence entry zone
Break & Retest Settings
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Show Breaks: Labels when price breaks the zone
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Show Retests: Highlights price retesting a previously broken zone
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Avoid False Breaks: Requires volume above a set threshold
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Inverse Color After Broken: Makes it easier to track support → resistance flips
Show Breaks: Labels when price breaks the zone
Show Retests: Highlights price retesting a previously broken zone
Avoid False Breaks: Requires volume above a set threshold
Inverse Color After Broken: Makes it easier to track support → resistance flips
Practical Tip:
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Set alerts for breaks and retests to save time watching charts
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Combine with momentum indicators (RSI, ADX) for confirmation
Alerts
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Breakout Alert: Immediate notification when a zone is breached
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Retest Alert: Notification when price comes back to retest broken zones
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Custom alert logic: Trigger only for zones above certain strength to reduce noise
Breakout Alert: Immediate notification when a zone is breached
Retest Alert: Notification when price comes back to retest broken zones
Custom alert logic: Trigger only for zones above certain strength to reduce noise
Memory Optimization
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Toggle Memory Optimization for large historical charts
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Extending multiple zones on several timeframes can slow charts
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Recommended for traders using crypto with deep history or multiple charts
Toggle Memory Optimization for large historical charts
Extending multiple zones on several timeframes can slow charts
Recommended for traders using crypto with deep history or multiple charts
Detailed Tables for Settings
Setting Recommended Use Notes Example Market Pivot Range Medium Balance sensitivity & strength EUR/USD daily chart Strength 3 Validates zones without over-filtering GBP/USD swing trade Zone Width 0.05–0.07 Adjust per volatility BTC/USD crypto high volatility Colors Timeframe-based Dark = daily, light = 1h Multi-timeframe clarity Alerts Break & Retest For active trading Forex, Crypto, Stocks Memory Optimization ON Avoid lag in long histories All asset types
| Setting | Recommended Use | Notes | Example Market |
|---|---|---|---|
| Pivot Range | Medium | Balance sensitivity & strength | EUR/USD daily chart |
| Strength | 3 | Validates zones without over-filtering | GBP/USD swing trade |
| Zone Width | 0.05–0.07 | Adjust per volatility | BTC/USD crypto high volatility |
| Colors | Timeframe-based | Dark = daily, light = 1h | Multi-timeframe clarity |
| Alerts | Break & Retest | For active trading | Forex, Crypto, Stocks |
| Memory Optimization | ON | Avoid lag in long histories | All asset types |
Source: TradingView Documentation Dec 2025
Practical Examples — Applying Advanced Settings
Forex Example — Swing Trading EUR/USD
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Timeframes: Daily + 4-hour + 1-hour
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Pivot Range: Daily = high, 4h = medium, 1h = low
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Strength: 3 for daily, 2 for 4h, 1 for 1h
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Zone Width: Daily = 0.07 ATR, 1h = 0.05 ATR
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Alerts: Retest and breakout enabled
Timeframes: Daily + 4-hour + 1-hour
Pivot Range: Daily = high, 4h = medium, 1h = low
Strength: 3 for daily, 2 for 4h, 1 for 1h
Zone Width: Daily = 0.07 ATR, 1h = 0.05 ATR
Alerts: Retest and breakout enabled
Scenario:
Price approaches daily support zone → touches 1-hour and 4-hour zones → confluence detected → long entry triggered.
Stop-Loss: Below daily zone
Take-Profit: At nearest 4-hour resistance
Source: TradingView Charts — EUR/USD Example Dec 2025
Crypto Example — Day Trading BTC/USD
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Timeframes: 1-hour + 15-minute + 5-minute
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Pivot Range: 1-hour = medium, 15-min = low, 5-min = very low
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Strength: 2 for 1-hour, 1 for lower frames
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Zone Width: Wider (0.06–0.07 ATR) due to volatility
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Alerts: Breakouts only, retests optional
Timeframes: 1-hour + 15-minute + 5-minute
Pivot Range: 1-hour = medium, 15-min = low, 5-min = very low
Strength: 2 for 1-hour, 1 for lower frames
Zone Width: Wider (0.06–0.07 ATR) due to volatility
Alerts: Breakouts only, retests optional
Scenario:
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Resistance zone broken on 1-hour chart → 15-min retest → entry triggered
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Stop-loss below retest zone
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Take-profit: Next resistance or Fibonacci extension
Practical Tip:
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Limit displayed zones to reduce clutter in fast-moving markets
Source: Investopedia — BTC Day Trading Dec 2025
Stocks Example — Scalping AAPL
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Timeframes: 15-minute + 5-minute + 1-minute
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Pivot Range: 15-min medium, 5-min low, 1-min very low
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Strength: 2–3 touches for higher timeframe, 1 for lower
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Zone Width: Narrow (0.04–0.05 ATR)
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Alerts: Breaks only
Timeframes: 15-minute + 5-minute + 1-minute
Pivot Range: 15-min medium, 5-min low, 1-min very low
Strength: 2–3 touches for higher timeframe, 1 for lower
Zone Width: Narrow (0.04–0.05 ATR)
Alerts: Breaks only
Scenario:
Price approaches multi-timeframe support → micro-bounce on 1-minute → scalp entry
Stop-loss tight, just below 1-minute zone
Take-profit near next 5-minute resistance
Source: TradingView — AAPL Charts Dec 2025
Advanced Tips for Customization
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Combine Zones Across Assets: Use same settings across correlated assets (EUR/USD & GBP/USD)
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Adjust Colors for Visual Clarity: Assign unique colors per timeframe for faster recognition
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Label All Zones: Helps identify which timeframe is giving the strongest signal
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Enable Alerts Sparingly: Too many alerts = noise
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Revisit Settings Weekly: Markets change, and zone significance can shift
Using the Indicator for Swing Trading
Swing trading is about capturing medium-term moves, usually from a few hours to several days. The MTF indicator is perfect for this because it shows high-confidence zones from multiple timeframes.
Example Setup: EUR/USD
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Timeframes: Daily + 4-hour + 1-hour
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Strength: Daily = 3, 4-hour = 2, 1-hour = 1
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Zone Width: Daily = 0.07 ATR, 1-hour = 0.05 ATR
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Alerts: Break and retest enabled
Timeframes: Daily + 4-hour + 1-hour
Strength: Daily = 3, 4-hour = 2, 1-hour = 1
Zone Width: Daily = 0.07 ATR, 1-hour = 0.05 ATR
Alerts: Break and retest enabled
Strategy:
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Identify multi-timeframe confluence zones (e.g., daily support + 4-hour support)
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Wait for price reaction at the zone (bounce or retest)
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Enter long if candlestick confirmation occurs (e.g., bullish engulfing)
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Set stop-loss just below the strongest support
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Take-profit near next resistance level
Pro Tip: The more timeframes align, the higher the probability of a successful swing trade.
Source: TradingView — EUR/USD Example Dec 2025
Day Trading with the MTF Indicator
Day trading focuses on short-term price moves, often within one trading session. Multi-timeframe support/resistance helps identify entry and exit points quickly.
Example Setup: BTC/USD
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Timeframes: 1-hour + 15-minute + 5-minute
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Strength: 1–2 touches for lower timeframes, 2–3 for higher
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Zone Width: Wider zones for crypto volatility (0.06–0.07 ATR)
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Alerts: Breakouts only, optional retests
Timeframes: 1-hour + 15-minute + 5-minute
Strength: 1–2 touches for lower timeframes, 2–3 for higher
Zone Width: Wider zones for crypto volatility (0.06–0.07 ATR)
Alerts: Breakouts only, optional retests
Strategy:
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Watch for breakouts above resistance or breaks below support
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Confirm breakout with volume spike
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Enter trade at breakout or on retest of broken zone
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Set stop-loss just below/above the zone
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Take-profit near next resistance/support
Practical Tip: Limit the number of visible zones to avoid chart clutter during fast moves.
Source: Investopedia — BTC Day Trading Dec 2025
Scalping Strategies
Scalping involves very short-term trades, sometimes a few minutes. The indicator’s lower timeframe zones help identify micro support/resistance levels.
Example: AAPL Stock
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Timeframes: 15-minute + 5-minute + 1-minute
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Strength: 1–2 touches for lower timeframes
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Zone Width: Tight (0.04–0.05 ATR)
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Alerts: Break alerts only
Timeframes: 15-minute + 5-minute + 1-minute
Strength: 1–2 touches for lower timeframes
Zone Width: Tight (0.04–0.05 ATR)
Alerts: Break alerts only
Strategy:
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Watch for price approaching multi-timeframe support/resistance
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Enter trade on bounce in 1-minute chart
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Use tight stop-loss just below/above the 1-minute zone
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Take-profit near next visible 5-minute zone
Pro Tip: Scalping requires discipline; never trade every small break. Wait for zone confirmation and volume support.
Source: TradingView — AAPL Charts Dec 2025
Risk Management
Using zones effectively is not just about entries — it’s about managing risk:
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Stop-Loss Placement: Always use zones as reference. For long trades, place stop-loss below the support zone; for shorts, above resistance.
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Position Sizing: Adjust size based on distance between entry and stop-loss.
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Validate Breakouts: Don’t blindly enter every breakout; use retests, volume confirmation, or momentum indicators (RSI, ADX, MACD).
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Avoid Overtrading: Focus on high-confidence confluence zones.
Source: Investopedia — Risk Management Dec 2025
Combining with Other Tools
The MTF indicator is powerful, but combining it with other indicators enhances reliability:
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ADX: Measures trend strength; confirm if breakout aligns with trend
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RSI: Check for overbought/oversold conditions near zones
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MACD: Confirms momentum direction for entries/exits
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Volume: Filter false breakouts by confirming high volume
Example: EUR/USD Multi-Indicator Setup
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Multi-timeframe S/R zones highlight potential entries
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ADX > 20 confirms trend strength
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RSI not overbought/oversold confirms entry timing
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MACD crossover aligns with trend for confirmation
Multi-timeframe S/R zones highlight potential entries
ADX > 20 confirms trend strength
RSI not overbought/oversold confirms entry timing
MACD crossover aligns with trend for confirmation
Pro Tip: Avoid indicator overload — choose 1–3 indicators to complement the zones.
Table: Strategy Comparison
Market Timeframes Zone Strength Entry Signal Stop-Loss Take-Profit Notes Forex Swing Daily + 4h + 1h 3/2/1 Candlestick confirmation Below daily zone Next resistance Multi-timeframe confluence Crypto Day 1h + 15m + 5m 2/1/1 Breakout or retest Below zone Next resistance Volume filter required Stocks Scalping 15m + 5m + 1m 2/1/1 Bounce on 1-min Tight below 1-min zone Next visible 5-min Avoid clutter, tight stop-loss
| Market | Timeframes | Zone Strength | Entry Signal | Stop-Loss | Take-Profit | Notes |
|---|---|---|---|---|---|---|
| Forex Swing | Daily + 4h + 1h | 3/2/1 | Candlestick confirmation | Below daily zone | Next resistance | Multi-timeframe confluence |
| Crypto Day | 1h + 15m + 5m | 2/1/1 | Breakout or retest | Below zone | Next resistance | Volume filter required |
| Stocks Scalping | 15m + 5m + 1m | 2/1/1 | Bounce on 1-min | Tight below 1-min zone | Next visible 5-min | Avoid clutter, tight stop-loss |
Source: TradingView Documentation Dec 2025
Real-World Scenario: Confluence Zone Example
Imagine GBP/USD:
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Daily resistance at 1.3500 (3 touches)
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4-hour resistance at 1.3495 (2 touches)
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1-hour resistance at 1.3502 (1 touch)
Price approaches 1.3500 zone:
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High probability of rejection due to confluence across three timeframes
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Short entry triggered on bearish candlestick pattern
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Stop-loss: just above daily resistance
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Take-profit: next support level
Pro Tip: Multi-timeframe confluence zones often outperform single timeframe signals.
Advanced Tips
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Always label zones by timeframe and strength
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Adjust zone width for volatility: wider for crypto, tighter for low-volatility forex
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Use alerts selectively to reduce noise
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Regularly review historical performance of zones for optimization
Always label zones by timeframe and strength
Adjust zone width for volatility: wider for crypto, tighter for low-volatility forex
Use alerts selectively to reduce noise
Regularly review historical performance of zones for optimization
Comparing the Flux Charts MTF Indicator with Other Tools
To appreciate the value of this indicator, it helps to see how it stacks up against alternatives:
| Tool / Indicator | Key Features | Why Flux Charts MTF Stands Out | Source |
|---|---|---|---|
| MTF Support & Resistance by LonesomeTheBlue | Plots S/R from a higher timeframe using pivot/high-low logic | Flux Charts supports up to three timeframes, plus break/retest detection | TradingView Dec 2025 |
| MTF Support & Resistance (Optimized) by Prospecttrades | Clusters S/R using ATR, filters weak zones, dynamic zone opacity | Flux Charts adds custom alerts, inverse coloring, and memory optimization | TradingView Dec 2025 |
| Dynamic Support & Resistance Tracker by Brian_Heady | Tracks daily/weekly/monthly levels in real-time | Flux Charts allows any timeframes and integrates break/retest notifications | TradingView Dec 2025 |
Key takeaway: Flux Charts MTF offers flexibility, visual clarity, and real-time notifications, making it highly practical for traders who rely on multi-timeframe analysis.
Pros and Cons of the Indicator
Pros
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Multi-Timeframe Confluence: Shows zones across three timeframes, increasing confidence
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Highly Customizable: Adjust zone strength, width, color, labels, and alerts
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Break/Retest Notifications: Helps act without staring at charts constantly
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Memory Optimization: Efficient for heavy charts with long histories
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Visual Clarity: Easily identify confluence and strong zones
Multi-Timeframe Confluence: Shows zones across three timeframes, increasing confidence
Highly Customizable: Adjust zone strength, width, color, labels, and alerts
Break/Retest Notifications: Helps act without staring at charts constantly
Memory Optimization: Efficient for heavy charts with long histories
Visual Clarity: Easily identify confluence and strong zones
Cons / Risks
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Chart Clutter: Enabling too many zones can overwhelm lower timeframes
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False Breakouts: Even with volume filters, market noise can trigger alerts
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Discipline Required: Must validate trades, not act blindly on every break
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Lag in Micro-Scalping: Lower timeframe signals may react slower due to multi-timeframe calculation
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Doesn’t Replace Risk Management: Stop-loss and position sizing are still essential
Chart Clutter: Enabling too many zones can overwhelm lower timeframes
False Breakouts: Even with volume filters, market noise can trigger alerts
Discipline Required: Must validate trades, not act blindly on every break
Lag in Micro-Scalping: Lower timeframe signals may react slower due to multi-timeframe calculation
Doesn’t Replace Risk Management: Stop-loss and position sizing are still essential
Source: TradingView Documentation Dec 2025
Best Practices for Using the MTF Indicator
Here’s how professionals maximize the potential of this tool:
1. Backtest Thoroughly
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Apply the indicator to different timeframes and assets (forex, stocks, crypto)
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Check historical performance of zones, breakouts, and retests
Apply the indicator to different timeframes and assets (forex, stocks, crypto)
Check historical performance of zones, breakouts, and retests
2. Optimize Timeframe Combinations
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Daily + 4-hour + 1-hour works well for swing trading
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1-hour + 15-min + 5-min is good for day trading
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Avoid random selections; align with your trading horizon
Daily + 4-hour + 1-hour works well for swing trading
1-hour + 15-min + 5-min is good for day trading
Avoid random selections; align with your trading horizon
3. Validate Breakouts
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Use volume, RSI, or ADX to confirm signals
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Avoid entering trades based on zones alone
Use volume, RSI, or ADX to confirm signals
Avoid entering trades based on zones alone
4. Use Alerts Strategically
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Breakout and retest alerts reduce screen time
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Limit alerts to zones with high strength to avoid noise
Breakout and retest alerts reduce screen time
Limit alerts to zones with high strength to avoid noise
5. Manage Chart Clutter
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Limit the number of zones displayed per timeframe
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Toggle zone visibility based on your current strategy
Limit the number of zones displayed per timeframe
Toggle zone visibility based on your current strategy
6. Combine with Price Action
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Look for candlestick patterns at zones: pin bars, engulfing, dojis
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Confirm trend and market structure before entering
Look for candlestick patterns at zones: pin bars, engulfing, dojis
Confirm trend and market structure before entering
7. Update Settings Periodically
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Market conditions change; a previously strong zone may weaken
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Review pivot range, strength, and zone width weekly
Market conditions change; a previously strong zone may weaken
Review pivot range, strength, and zone width weekly
8. Memory Optimization
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Turn on memory optimization for long-term charts or multiple assets
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Avoid lag or freezing when displaying historical zones
Turn on memory optimization for long-term charts or multiple assets
Avoid lag or freezing when displaying historical zones
Avoiding Common Mistakes
Mistake Why It Happens How to Fix Trading every break Overconfidence in zones Only trade high-strength confluence zones Ignoring volume False breakouts occur Use volume filter alerts Using too many timeframes Chart clutter and confusion Limit to 2–3 timeframes relevant to strategy Not adjusting zone width Zones too tight or too wide for volatility Match ATR to market conditions Skipping retest validation Higher risk entries Wait for retest signal or confirmation candle Ignoring risk management Losing trades despite correct zones Always set SL/TP using zones
| Mistake | Why It Happens | How to Fix |
|---|---|---|
| Trading every break | Overconfidence in zones | Only trade high-strength confluence zones |
| Ignoring volume | False breakouts occur | Use volume filter alerts |
| Using too many timeframes | Chart clutter and confusion | Limit to 2–3 timeframes relevant to strategy |
| Not adjusting zone width | Zones too tight or too wide for volatility | Match ATR to market conditions |
| Skipping retest validation | Higher risk entries | Wait for retest signal or confirmation candle |
| Ignoring risk management | Losing trades despite correct zones | Always set SL/TP using zones |
Source: Investopedia — Common Trading Mistakes Dec 2025
Pro Tips for Professionals
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Label Zones Clearly: Include timeframe and strength
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Color Code: Daily = dark, 4-hour = medium, 1-hour = light
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Combine with Trend Indicators: ADX, moving averages, or trendlines for context
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Focus on High-Probability Zones: Look for multi-timeframe alignment and strong pivots
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Practice Patience: Wait for confirmation signals at zones
Label Zones Clearly: Include timeframe and strength
Color Code: Daily = dark, 4-hour = medium, 1-hour = light
Combine with Trend Indicators: ADX, moving averages, or trendlines for context
Focus on High-Probability Zones: Look for multi-timeframe alignment and strong pivots
Practice Patience: Wait for confirmation signals at zones
Table: Indicator Best Practices
Practice Purpose Notes Backtesting Historical validation Test across multiple markets Timeframe Optimization Match trading style Swing, day, or scalping Breakout Validation Reduce false signals Volume + trend confirmation Alerts Save time & monitor zones Set only for strong zones Chart Clarity Avoid overload Limit zones per timeframe Memory Optimization Smooth chart performance Especially for crypto & multiple charts
| Practice | Purpose | Notes |
|---|---|---|
| Backtesting | Historical validation | Test across multiple markets |
| Timeframe Optimization | Match trading style | Swing, day, or scalping |
| Breakout Validation | Reduce false signals | Volume + trend confirmation |
| Alerts | Save time & monitor zones | Set only for strong zones |
| Chart Clarity | Avoid overload | Limit zones per timeframe |
| Memory Optimization | Smooth chart performance | Especially for crypto & multiple charts |
Comparing Flux Charts MTF with Classic S/R
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Classic S/R: Static lines, single timeframe, no alerts
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Flux Charts MTF: Dynamic zones, multi-timeframe, break/retest alerts, customizable width/color
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Impact: Flux Charts gives actionable insights for live trading rather than just visual reference
Classic S/R: Static lines, single timeframe, no alerts
Flux Charts MTF: Dynamic zones, multi-timeframe, break/retest alerts, customizable width/color
Impact: Flux Charts gives actionable insights for live trading rather than just visual reference
Practical Example:
Imagine trading GBP/USD:
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Classic S/R shows 1.3500 resistance
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Flux Charts MTF shows:
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Daily resistance 1.3500, strength 3
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4-hour resistance 1.3498, strength 2
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1-hour resistance 1.3502, strength 1
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Multi-timeframe confluence indicates a strong rejection zone, giving higher probability than single-line analysis.
Source: TradingView — Multi-Timeframe Analysis Dec 202
Frequently Asked Questions (FAQs)
Q: What does MTF mean?
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MTF = Multi-Timeframe. The indicator pulls support/resistance from multiple timeframes and displays them all on your current chart. This gives you a full picture of potential zones.
Source: TradingView Documentation Dec 2025
Q: Can I use this indicator for crypto, forex, and stocks?
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Absolutely. Any market supported by TradingView works with the indicator, making it versatile for all types of trading.
Q: Are breakout and retest alerts reliable?
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Alerts are solid but not perfect. Combine them with volume confirmation, trend indicators, or candlestick patterns to reduce false signals.
Q: How do I set “strength” for a zone?
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Strength is the number of touches required for a pivot to become a valid zone. Higher strength = more reliable zone, lower strength = more sensitive.
Q: What is “Avoid False Breaks”?
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This filters out fake breakouts by requiring volume at the breakout to exceed a threshold compared to historical average.
Q: Does the indicator repaint?
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No classic repainting. Zones are based on pivot strength and validated by touches. Always combine with risk management.
Q: Will my charts lag?
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Using multiple high-timeframe zones can cause lag, but enabling memory optimization solves most performance issues.
Additional Real-World Examples
Forex — Swing Trading USD/JPY
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Timeframes: Daily + 4-hour + 1-hour
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Daily resistance at 145.50 (strength 3) aligns with 4-hour resistance at 145.48 (strength 2)
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Price approaches confluence → bearish engulfing candle → short entry
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Stop-loss: Above daily resistance
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Take-profit: Next 4-hour support
Timeframes: Daily + 4-hour + 1-hour
Daily resistance at 145.50 (strength 3) aligns with 4-hour resistance at 145.48 (strength 2)
Price approaches confluence → bearish engulfing candle → short entry
Stop-loss: Above daily resistance
Take-profit: Next 4-hour support
Crypto — Day Trading ETH/USD
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Timeframes: 1-hour + 15-minute + 5-minute
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Breakout above 1-hour resistance confirmed by volume → entry
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Retest highlighted by indicator → optional additional entry
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Stop-loss below 5-minute zone
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Take-profit near next 15-minute resistance
Timeframes: 1-hour + 15-minute + 5-minute
Breakout above 1-hour resistance confirmed by volume → entry
Retest highlighted by indicator → optional additional entry
Stop-loss below 5-minute zone
Take-profit near next 15-minute resistance
Stocks — Scalping TSLA
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Timeframes: 15-minute + 5-minute + 1-minute
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Multi-timeframe support aligns on 5-minute and 1-minute charts
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Price bounce confirmed by candlestick → long scalp
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Tight stop-loss just below 1-minute support
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Quick take-profit at next 5-minute resistance
Timeframes: 15-minute + 5-minute + 1-minute
Multi-timeframe support aligns on 5-minute and 1-minute charts
Price bounce confirmed by candlestick → long scalp
Tight stop-loss just below 1-minute support
Quick take-profit at next 5-minute resistance
Source: TradingView Examples Dec 2025
Best Practices Recap
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Backtest: Always check zones on historical data
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Combine Indicators: ADX, RSI, MACD, and volume improve decision-making
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Focus on Confluence Zones: Multi-timeframe alignment = higher probability trades
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Use Alerts Wisely: Monitor breaks and retests without overloading
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Adjust Settings Periodically: Market conditions change, so update pivot range, strength, and zone width
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Discipline: Never trade every break, always validate signals
Backtest: Always check zones on historical data
Combine Indicators: ADX, RSI, MACD, and volume improve decision-making
Focus on Confluence Zones: Multi-timeframe alignment = higher probability trades
Use Alerts Wisely: Monitor breaks and retests without overloading
Adjust Settings Periodically: Market conditions change, so update pivot range, strength, and zone width
Discipline: Never trade every break, always validate signals
Practical Tips for Trading Success
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Label zones by timeframe and strength
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Color code for clarity
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Focus on high-strength zones
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Combine with price action: candlestick patterns, trendlines, chart patterns
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Use proper risk management: stop-loss and position sizing
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Optimize alerts to monitor zones efficiently
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Memory optimization ensures smooth performance for multiple charts
Label zones by timeframe and strength
Color code for clarity
Focus on high-strength zones
Combine with price action: candlestick patterns, trendlines, chart patterns
Use proper risk management: stop-loss and position sizing
Optimize alerts to monitor zones efficiently
Memory optimization ensures smooth performance for multiple charts
Contact and Support
If you want to explore more or need help:
Contact us via the web: Flux Charts Support
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Ask for setup guidance, strategy optimization, or integration tips with other indicators
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Support is available for custom alert configurations, memory settings, and chart performance
Final Thoughts
The Support & Resistance (MTF) Indicator for Flux Charts is more than just a line-drawing tool. It’s a complete multi-timeframe solution for traders who want high-confidence zones, clear visualizations, and actionable alerts.
When used properly, it helps you:
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Spot reversal areas
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Identify entry and exit levels
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Understand market structure across multiple timeframes
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Validate trades with volume, trend, and candlestick confirmation
Remember: No indicator guarantees profits. Combine the MTF indicator with risk management, proper trade planning, and discipline. With experience, this tool can become a cornerstone of your trading strategy, whether you swing trade, day trade, or scalp.
Summary Table — Key Takeaways
Feature Benefit Tip Multi-Timeframe Zones Confluence detection Use 2–3 relevant timeframes Zone Strength Filter weak zones Strength 3+ for high-probability trades Break & Retest Alerts Saves screen time Limit alerts to strong zones Zone Width Reflects volatility Adjust per market type Memory Optimization Smooth charts ON for long histories or multiple assets Integration Combine with RSI, ADX, MACD Confirms signals, reduces false trades
| Feature | Benefit | Tip |
|---|---|---|
| Multi-Timeframe Zones | Confluence detection | Use 2–3 relevant timeframes |
| Zone Strength | Filter weak zones | Strength 3+ for high-probability trades |
| Break & Retest Alerts | Saves screen time | Limit alerts to strong zones |
| Zone Width | Reflects volatility | Adjust per market type |
| Memory Optimization | Smooth charts | ON for long histories or multiple assets |
| Integration | Combine with RSI, ADX, MACD | Confirms signals, reduces false trades |
With all five parts combined, this article forms a comprehensive, ~10,000-word guide for mastering the Support & Resistance (MTF) Indicator for Flux Charts, fully optimized for SEO and trading-related search results.
Stay sharp, trade smart, and may your multi-timeframe zones always guide you to the right side of the next move. 🚀
Source Links:
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Investopedia — ATR in Trading Dec 2025
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TradingView Documentation Dec 2025