ALANI - Multi-Timeframe (MTF)An almost zero lag version of the LSMA (Least Squares Moving Average)
Gives instant linear regression of current price action.
This line works with the same rules as its "laggy" counterpart the LSMA:
When price crosses over it signals a bull trend.
When price crosses under it signals bear trend.
When price stays close or on the line sideways action is to be expected.
The direction of the line shows the direction of the trend.
Multitimeframe
Fair Value Gaps by DGTFair Value Gaps
A refined, multi-timeframe Fair Value Gap (FVG) detection tool that brings institutional imbalance zones to life directly on your chart.
Designed for precision, it visualizes how price delivers into inefficiencies across chart, higher, and lower (intrabar) timeframes — offering a fluid, structural view of liquidity displacement and market flow.
The script continuously tracks unfilled, partially repaired, and fully resolved imbalances, revealing where liquidity inefficiencies concentrate and where price may seek rebalancing.
Overlapping zones naturally expose institutional footprints, potential liquidity targets, and key re-pricing regions within the broader market structure.
KEY FEATURES
⯌ Multi-Timeframe Detection
Detect and display FVGs from the current chart, higher timeframes (HTF), or lower timeframes (LTF)
⯌ Smart Fill Tracking
Automatic real-time monitoring of each FVG’s fill progress with live percentage updates
⯌ Custom Fill Logic
Choose your preferred definition of when a gap is considered filled: Any Touch
Midpoint Reached
Wick Sweep
Body Beyond
⯌ Dynamic Labels & Tooltips
Labels can be toggled on/off. Even when hidden, detailed tooltips remain available by hovering over the FVG midpoint.
⯌ Adaptive Lower-Timeframe Mode
When set to “Auto,” the script intelligently selects the optimal lower timeframe based on the chart resolution.
DISCLAIMER
This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Previous High/Low Multi-Timeframe (3 TFs)Supports 3 customizable timeframes, with full color, width, style, and label options
Previous 4-Hour High/Low (Updated)Features:
- Works on any chart timeframe.
- Automatically updates at the close of each 4H candle.
- Lines extend across the chart (both directions).
- Customizable color and thickness.
- Optional labels.
- No flickering or constant deletion/recreation — lines are updated only when the 4H candle closes
VMS Momentum Trend Matrix Indicator [09.00 to 23.30]VMS Momentum Trend Matrix Indicator - Detailed Explanation
🎯 Overview & Core Philosophy
This is a multi-dimensional trading and a multi-confirmation system that combines 4 independent analytical approaches into one unified framework. The indicator operates on the principle of "consensus trading" - where signals are only considered reliable when multiple systems confirm each other. The system is designed for 9:00 AM to 23:30 PM trading sessions (Indian Market) with dynamic support/resistance levels.
Five Pillars of Analysis:
1. Trend Matrix – Multiple indicator voting system
2. Momentum Suite – Multiple Hybrid oscillator
3. Volume Analysis - Buy/sell pressure quantification
4. Key Level Identification - Dynamic support/resistance
5. EMA Trend: Indicates the overall long-term direction.
📊 DASHBOARD INTERPRETATION - ROW BY ROW
ROW 1: Indicator Name and Cell background colour changes with Trend Matrix
ROW 2: EMA ANALYSIS (It analyses independently and does not combine this analysis with the Combined Analysis and Trading View. Background Colour on price chart is based on this)
Purpose: Long-term trend identification using Exponential Moving Averages
What to Watch:
• Major Trend: Overall market direction (Bullish/Bearish/Neutral)
• Bullish Condition: All EMAs aligned upward
• Bearish Condition: All EMAs aligned downward
• Neutral: Mixed alignment
Trading Significance:
• Trading Condition: Current bias based on EMA alignment
• Bullish Market: Focus on LONG positions only
• Bearish Market: Focus on SHORT positions only
• Neutral Market: Wait for clearer direction
ROW 3-4: KEY LEVELS
Purpose: Dynamic support and resistance identification
Levels to Monitor:
• VMS Line-1 (Support): Dynamic Support for long positions
• VMS Line-2 (Resistance): Dynamic Resistance for short positions
• Up/Down: Daily base levels from opening price calculations
• Up: Daily support level based on opening price
• Down: Daily resistance level based on opening price
How Levels Work:
• Wait for Line-1 and 2 Crossing
• In the Upward movement, Line-1 will move with the price, and Line-2 will be moved as a straight line
• In the Downward movement, Line-2 will move with the price, and Line-2 will be moved as a straight line
• Provide clear entry/exit points
• If the price is between these levels, it is mostly a sideways market. After the Upward movement, if the price crosses Line-1 and other bearish conditions are supported, a short position can be taken. And in the Downward movement, it is the reverse condition.
• If the price is above the up level, it can be considered as bullish and below as bearish
ROW 5-6: VOLUME ANALYSIS
Purpose: Measure buying vs selling pressure
Key Metrics:
• Total Buy Volume: Cumulative buying pressure
• Total Sell Volume: Cumulative selling pressure
• Bullish Candles: Number of up-candles in session
• Bearish Candles: Number of down-candles in session
Interpretation:
• Buy Volume > Sell Volume: Bullish sentiment
• Sell Volume > Buy Volume: Bearish sentiment
• Bullish Candles Dominating: Upward momentum
• Bearish Candles Dominating: Downward momentum
ROW 7-8: MOMENTUM SUITE (Background colour of Oscillator is based on this)
Purpose: Short-term momentum strength and direction
Critical Components:
• Direction: Current momentum (BULLISH/BEARISH)
• Strength: 0-100% strength measurement
• Bullish Height: Positive momentum magnitude
• Bearish Height: Negative momentum magnitude
Strength Classification:
• 80-100%: Very Strong - High conviction trades
• 60-80%: Strong - Good trading opportunities
• 40-60%: Moderate - Caution advised
• 20-40%: Weak - Avoid trading
• 0-20%: Very Weak - No trade zone
ROW 9-11: TREND MATRIX
Purpose: Consensus from Multiple technical indicators
Matrix Scoring:
• Bullish Signals: Number voting UP
• Bearish Signals: Number voting DOWN
• Neutral Signals: Non-committed indicators
• Net Score: Bullish - Bearish signals
Trend Classification:
• Strong Uptrend: Net Score ≥ +5
• Uptrend: Net Score +1 to +4
• Neutral: Net Score = 0
• Downtrend: Net Score -1 to -4
• Strong Downtrend: Net Score ≤ -5
ROW 12: COMBINED ANALYSIS
Purpose: Final integrated signal from all systems
Bias Levels:
• STRONG BULLISH: All systems aligned upward
• BULLISH: Majority systems upward
• NEUTRAL: Mixed or weak signals
• BEARISH: Majority systems downward
• STRONG BEARISH: All systems aligned downward
Confidence Score: 0-100% reliability measurement
ROW 13: TRADING VIEW
Purpose: Clear action recommendations
Possible Actions:
• STRONG LONG: High conviction buy signal
• MODERATE LONG: Medium conviction buy signal
• WAIT FOR CONFIRMATION: No clear signal
• MODERATE SHORT: Medium conviction sell signal
• STRONG SHORT: High conviction sell signal
🎯 COMPLETE TRADING RULES
BUY ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BULLISH or STRONG BULLISH
2. Trading Action: MODERATE LONG or STRONG LONG
3. Momentum Strength: ≥ 40% (≥60% for STRONG LONG)
4. Trend Matrix: Net Score ≥ +3
5. EMA Trend: Bullish or Neutral
Confirmation Conditions:
6. Price Position: Above VMS Line-1 AND Base Up
7. Volume Confirmation: Buy Volume > Sell Volume
8. Bullish Candles: More bullish than bearish candles
Risk Management:
9. Stop Loss: Below VMS Line-1 OR Base Down (whichever is lower)
10. Position Size: Based on confidence score (higher score = larger position)
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
SELL/SHORT ENTRY CONDITIONS (All Must Be True)
Primary Conditions:
1. Combined Bias: BEARISH or STRONG BEARISH
2. Trading Action: MODERATE SHORT or STRONG SHORT
3. Momentum Strength: ≥ 40% (≥60% for STRONG SHORT)
4. Bearish Signals: ≥ 12 in Trend Matrix
5. Trend Matrix: Net Score ≤ -3
6. EMA Trend: Bearish or Neutral
Confirmation Conditions:
6. Price Position: Below VMS Line-2 AND Base Down
7. Volume Confirmation: Sell Volume > Buy Volume
8. Bearish Candles: More bearish than bullish candles
Risk Management:
9. Stop Loss: Above VMS Line-2 OR Base Up (whichever is higher)
10. Position Size: Based on confidence score
11. Take Profit: When Combined Bias turns "NEUTRAL" or momentum strength drops below 20%
12. Exit Signal: Trading Action shows "WAIT FOR CONFIRMATION"
⏰ ENTRY/EXIT TIMING
Best Entry Times:
• 9:30-11:00 AM: Early session momentum established
• 12:30-16:30 AM: Mid-session confirmation
• 21:30-23:00 PM: closing session momentum shifts
Avoid Trading:
• First 15 minutes: Excessive volatility
• 12:00-18:00 PM: Low liquidity period
• After 22:00 PM: Session closing volatility
Exit Triggers:
Profit Taking:
• Target 1: 1:1 Risk-Reward (exit 50% position)
• Target 2: 1.5:1 Risk-Reward (exit remaining 50%)
• Trailing Stop: Move stop to breakeven after Target 1
Stop Loss Triggers:
• Price crosses opposite VMS line
• Combined Bias changes to NEUTRAL
• Momentum Strength drops below 20%
• Volume confirmation reverses
•
Emergency Exit:
• Trend Matrix Net Score reverses direction
• 6-EMA trend changes direction
• Key support/resistance breaks against position
📈 TRADING SCENARIOS
Scenario 1: STRONG BULLISH SETUP
- Combined Bias: STRONG BULLISH
- Trading Action: STRONG LONG
- Momentum Strength: 75%
- Trend Matrix: Net Score +8
- Price: Above VMS Line-1 and Base Up
- Volume: Strong buy volume dominance
ACTION: Enter LONG with full position size
STOP LOSS: Below VMS Line-1
TARGET: 1.5:1 Risk-Reward ratio
Scenario 2: MODERATE BEARISH SETUP
- Combined Bias: BEARISH
- Trading Action: MODERATE SHORT
- Momentum Strength: 55%
- Trend Matrix: Net Score -4
- Price: Below VMS Line-2 but above Base Down
- Volume: Moderate sell volume dominance
ACTION: Enter SHORT with half position size
STOP LOSS: Above VMS Line-2
TARGET: 1:1 Risk-Reward ratio
Scenario 3: NEUTRAL/WAIT SETUP
- Combined Bias: NEUTRAL
- Trading Action: WAIT FOR CONFIRMATION
- Momentum Strength: 35%
- Trend Matrix: Net Score 0
- Mixed volume signals
ACTION: NO TRADE - Wait for clearer signals
________________________________________
⚠️ RISK MANAGEMENT RULES
Position Sizing:
• STRONG Signals (80-100% confidence): 100% normal position
• MODERATE Signals (60-79% confidence): 50-75% position
• WEAK Signals (40-59% confidence): 25% position or avoid
• VERY WEAK (<40% confidence): NO TRADE
Daily Loss Limits:
• Maximum 2% capital loss per day
• Maximum 3 consecutive losing trades
• Stop trading after the daily limit is reached
Trade Management:
• Never move the stop loss against a position
• Take partial profits at predetermined levels
• Never average down losing positions
• Respect all exit signals immediately
________________________________________
🔄 SIGNAL CONFIRMATION PROCESS
Step 1: Trend Direction
Check EMA alignment and Combined Bias
Step 2: Momentum Strength
Verify Momentum Strength ≥ 40% and direction matches trend
Step 3: Volume Confirmation
Confirm volume supports the direction
Step 4: Matrix Consensus
Ensure Trend Matrix agrees (Net Score ≥ |3|)
Step 5: Price Position
Verify price is on the correct side of key levels
Step 6: Entry Execution
Enter on a pullback to support/resistance with a stop loss
________________________________________
This system works best when you wait for all conditions to align. Patience is key - only trade when all systems confirm the same direction with adequate strength. The multiple confirmation layers significantly increase the probability of success but reduce trading frequency.
H1 ATR on all timeframesVisual aid that displays the value of the H1 ATR (standard setting: 14) across all timeframes.
HTF CandlesThis Indicator allows you to display up to 10 higher timeframe candles.
One of them will always be the currently last candle (realtime candle if session is active). So if you choose to display only one candle it will be the current HTF candle. If you choose to display more than 1 candle it will be the current HTF candle plus the number of total candles minus one as historic candles (maximum 9 historic candles).
The goal is to simplify HTF analysis without the need to switch timeframes and detect HTF candle patterns while seeing the lower timeframe develop in realtime.
This is especially useful if you trade concepts like liquidity grabs/sweeps or any candle stick patterns and you want to utilize lower timeframe entries to maximize your risk to reward.
Setting Explanation
General Settings
# of Bars: Choose how many HTF candles you want to be displayed (maximum is 10).
Timeframe: Choose the timeframe that you want to be displayed.
Offset: Put in the number of bars you want to shift the HTF candles to the right (minimum is 0 which will result in a shift 3 bars to the right, to separate it from the current LTF candle). This way you can as well see 2 higher timeframes by applying the indicator twice to your chart and just shifting one timeframe so far to the right that it does not overlap the first HTF.
HTF Lines
Mark Start Of HTF Candles: If checked this will display lines according to the start of your HTF candles.
HTF Label
Show HTF Label: If checked you will see a label above the plotted HTF candles that tells you which timeframe it is.
Automatic Label Positioning: If checked your HTF Label will be 1 ATR above the highest HTF bar. This avoids putting in an absolute number which can be useful if you trade assets with vastly different prices (for example a 10 point distance will not sufficiently separate the label from the candles if trading BTC whereas a 100/500 point difference would put the label out of your screen if trading MNQ). By using the ATR the label will automatically be efficiently separated from the candles but not to far away.
Appearance
Body: Choose fill color for your bullish (left) and bearish (right) HTF candles.
Wick: Choose Wick/Border color for your HTF candles.
HTF Line: Choose color and line style for your HTF Lines (marking the start of a new HTF candle)
Label Position: Adjust the vertical distance of the label in regard to the highest high of the displayed HTF candles (This will be full points, not ticks, and is only used whenever "Automatic Label Positioning" is deselected).
Label Size: Adjust the font size of your HTF label.
Proxit Gold Strike V.1.2Proxit Gold Strike v.1.2 is a scalping-focused indicator designed to pinpoint fast in–out entries on lower timeframes (1–5m). It blends momentum, short-term trend bias, and reversal/pricing zones to surface high-probability setups while filtering out low-volatility chop.
Core Logic:
Detect micro-trend bias to stay aligned with short-term direction
Trigger Momentum Pulse when buy/sell pressure expands
Highlight Pullback/Exhaustion zones where quick bounces often occur
Apply a Volatility Filter to reduce noise in dead markets
On-chart Elements:
Buy / Sell arrows when conditions align
Soft background Trend Bias shading
Signal Baseline for directional reference
Scalp Zones for pragmatic entry/exit placement
No-Trade Zone warning during ultra-low volatility
Signals & Trade Ideas:
Scalp Buy: Positive momentum crossover + price above Baseline + not in No-Trade Zone
Scalp Sell: Negative momentum crossover + price below Baseline + not in No-Trade Zone
Exit: Quick targets (e.g., R:1–1.5) or upon opposite momentum/weakening signal
Recommended Inputs:
Sensitivity (1–5): Higher = faster/more signals (default: 3)
Baseline Length: 50–100 for volatile instruments
Momentum Window: 8–14 tuned for scalps
Volatility Filter: On for chop reduction
Show Labels/Alerts: Toggle visual/alert elements
Best Timeframes & Markets:
1m / 3m / 5m on Forex, Gold, Crypto, Index Futures
For Gold, start with TF 3–5m during active sessions/liquidity peaks.
Alerts:
“Proxit Buy” and “Proxit Sell” on signal confirmation
“Exit/Flip” when momentum flips
Use Once per bar close for more reliable alerts.
Best Practices:
Favor trades with the current Trend Bias; avoid strong counter-trend attempts
Keep tight stops nearby and size positions responsibly
Be cautious around major news releases unless your playbook accounts for them
Combine with market structure/S&R for added confluence
Disclaimer:
This tool is for educational and decision-support purposes only and is not financial advice. Results depend on your risk management and discipline. Always forward-test on demo before going live.
Suggested TradingView Tags:
scalping, momentum, trend, gold, crypto, forex, volatility, pullback, intraday, alerts
Multi-Timeframe Bollinger RSI SignalsIt's literally Free Money. Buy and Sell signal indicator based on RSI and Bollinger Bands Confluence.
EMA+MACD动态0轴主图动态MACD,EMA55作为当前周期动态0轴使用。EMA13作为小4倍周期动态0轴。当前周期DIF线穿越0轴标记+MACD金死叉标记。
The main chart dynamic MACD and EMA55 are used as the dynamic 0-axis for the current cycle. EMA13 is used as the dynamic 0- axis for the smaller 4x cycle. The current cycle's DIF line has crossed the 0-axis, marked with a "+" sign indicating a golden cross on the MACD.
Support and Resistance [Jamshid]📌 Support & Resistance
This indicator automatically identifies high-quality Support and Resistance zones using volume-weighted pivot levels. It visualizes price structure with adaptive volume boxes, breakout & retest signals, higher timeframe confirmation, and optional volume profile.
✅ Core Features
🔹 1. Smart Support & Resistance Zones (Volume-Based)
Detects pivot highs/lows with strong volume.
Boxes expand dynamically using ATR.
Zones display actual volume value.
Color intensity reflects volume strength.
🔹 2. Breakouts & Retests
“Break Sup / Break Res” labels on structure breaks.
Detects when old resistance becomes support (R→S).
Detects when old support becomes resistance (S→R).
Retest labels and diamond markers for holds.
🔹 3. Volume Profile (Optional)
Shows mini horizontal volume bars at each zone.
Separate bullish/bearish volume distribution.
Adjustable rows and lookback.
🔹 4. Higher Timeframe Confluence (Optional)
Check if current S/R aligns with HTF levels:
5m, 15m, 30m, 1H, 4H, Daily
Modes:
✅ Show All + HTF Labels
✅ Filter Only HTF Confirmed Levels
HTF confirmations shown directly on zone labels.
Tolerance setting for price matching.
🔹 5. Breaker Blocks (Failed S/R Reversal Zones)
Identifies bullish/bearish breaker zones.
Highlights breaker blocks on chart.
Optional labels and zone coloring.
🎯 Visual Alerts & Signals
✅ Breakouts (Support & Resistance)
✅ Retests (Hold without breakout)
✅ Role Reversal (R→S and S→R)
✅ Potential Bullish / Bearish Breakers
✅ Diamonds for hold/retest structure
✅ Labels with volume + timeframe confirmations
Every signal also has a built-in alertcondition so you can automate notifications.
⚙️ Customizable Settings
🟢 Main
Lookback period
Volume filter length
Box width multiplier
🎨 Visual
Show or hide labels, diamonds, retest labels
Label size
🟦 Breaker Blocks
Enable/disable breaker blocks
Show zones & labels
Custom colors
📊 Volume Profile
Enable/disable
Rows, lookback length
Bull/Bear color
⏳ Higher Timeframe Filtering
Turn HTF logic on/off
Select which timeframes to compare
Filter mode or label mode
Price matching tolerance (%)
✅ Why this indicator is unique
✔ Combines price structure + volume + HTF confluence
✔ Automatically adapts S/R strength using volume data
✔ Shows role reversal and breaker logic
✔ Smart visual alerts & automation support
✔ Highly customizable for any strategy or timeframe
💡 How to Use
Add the indicator to any chart or timeframe.
Look for high-volume S/R zones (darker colors = stronger).
Watch for:
Breakouts (trend continuation or reversal)
Retests (strong confirmations)
HTF confluence (higher probability)
Breaker blocks (failed level reversal)
Optionally enable alerts for automation or notifications.
******************************************************************
⚠️ Dangers of Trading
1️⃣ You can lose money very fast
Markets move quickly, and leverage makes losses even faster. Even experienced traders go through drawdowns.
2️⃣ Emotional decisions ruin accounts
Fear (selling too early) and greed (holding too long or overtrading) cause most losses. Trading is more psychological than technical.
3️⃣ Overconfidence after small wins
Many traders win at the beginning and believe they “mastered” the market, then take big risks and blow the account.
4️⃣ No system = gambling
If you trade without clear rules and risk management, you’re not trading—you’re gambling.
5️⃣ Market is not fair
Smart money, institutions, HFT algorithms, and stop-hunts exist. Retail traders are often the liquidity for bigger players.
6️⃣ News/Unexpected events
Unpredictable events (CPI, FOMC, war, tweets, etc.) can instantly move the market against your position.
✅ Advice for Safer & Smarter Trading
✅ 1. Protect your capital first
Your number one job is to survive.
Never risk more than 1–2% per trade.
✅ 2. Have a written trading plan
Define:
When to enter
When to exit
How much to risk
What conditions must be present
If your plan is not written, you don’t have a plan.
✅ 3. Use Stop Loss always
No stop loss = account suicide.
Even professional traders are wrong sometimes.
✅ 4. Focus on one strategy (mastery > trying everything)
Jumping from one strategy to another causes confusion. One good strategy with discipline beats five strategies with no consistency.
✅ 5. Trade with the trend and higher timeframe direction
Trading against HTF structure is fighting the market.
✅ 6. Control emotions like a machine
Biggest trader enemies:
Overtrading
Revenge trading
Fear of missing out (FOMO)
When emotions are strong → stop trading.
✅ 7. Be patient (best skill of a trader)
Sometimes the best trade is no trade.
Professional traders wait for high-probability setups.
✅ 8. Backtest and demo before using real money
If it doesn’t make money in backtesting or demo, it won’t magically work live.
✅ 9. Accept losses (they are part of the game)
Even the best traders lose. The key is small losses, big wins.
✅ 10. Keep learning forever
Market changes. What works today may not work tomorrow. Study price action, volume, psychology, risk management.
🧠 Final Truths:
✅ Trading is a business, not easy money
✅ Winning rate doesn’t matter—risk/reward matters
✅ Consistency > luck
✅ Discipline > knowledge
✅ Survival > profit
4h Top & BottomDraws a line at the top of the first 4h candle as well as the bottom. Colors the background green for possible long entries after reclaiming the bottom and red for short entries after rejecting the top.
[NBK] Cover Buy Sell Cover Buy Sell — Engulfing Reversals with EMA/ATR Trend & Quality Filters
What it does
This indicator flags high-quality bullish/bearish reversal candles only when they align with a short-term trend and pass several objective quality filters. It is not a simple mashup: each component serves a distinct role and they work together to keep early/low-quality signals out.
How it works (components & interaction)
Pattern engine (entry candidates)
Bullish side (Cover Buy):
Body Engulf: current green body fully covers the prior red body, or
Piercing (relaxed): prior red → current green closes above the prior body’s midpoint (not beyond prior open).
Bearish side (Cover Sell):
Full-candle Engulf: current red candle (body + wicks) covers the entire prior candle, or
Body Engulf: current red body fully covers the prior body, or
Dark-Cloud (relaxed): prior green → current red closes below the prior body’s midpoint.
Short-term trend gate (non-repainting)
Trend is defined by the EMA slope between bar-1 and bar-2, scaled by ATR to require minimum strength.
Slope < 0 → only bullish candidates pass. Slope > 0 → only bearish candidates pass.
Body-size filter (noise control)
Rejects tiny candles: each body is compared with the lookback average body size.
For bearish candidates an additional ratio check requires current body ≥ a fraction of the prior body (to avoid weak top-ticks).
Peak filters for bearish signals (late, cleaner tops)
Distance above EMA: the high must be at least X × ATR above EMA (avoids mid-range noise).
Near local high: the high of the current bar (or bar-1) must be close to the highest high in a recent window.
Break confirmation: close must break low by at least Y × ATR (filters shallow dark-clouds).
Only when a candidate satisfies the pattern ➝ trend ➝ size ➝ peak sequence is a signal printed/alerted.
Inputs (key parameters)
EMA length, Min EMA slope vs ATR, ATR length: trend strength.
Lookback for average body, Min body vs average, Bear body ratio: body-quality filters.
High distance above EMA (×ATR), Local high lookback, Tolerance to local high (×ATR), Min break of low (×ATR): bearish peak confirmation.
Alerts
Built-in alerts fire on bar close for both Cover Buy and Cover Sell.
How to use
Increase High distance above EMA / Local high lookback / Min break of low to reduce early Cover Sell in ranges.
If you miss good tops, ease those thresholds slightly.
Works across symbols/timeframes; evaluated on bar close; no repaint from the trend gate.
Notes
This tool is a signal screener, not financial advice. For best results, combine with your structure/SR zones, risk management, and execution rules.
Smart Money Concepts with Multi-Timeframe AnalysisSCRIPT PURPOSE:
This indicator combines multiple analytical approaches to identify smart money activity
and market structure changes across different timeframes.
KEY COMPONENTS AND THEIR SYNERGY:
1. SMART MONEY CONCEPTS:
- Identifies market structure breaks (BOS) and change of character (CHoCH)
- Detects order blocks where institutional traders likely entered positions
- Maps fair value gaps (FVG) for potential price inefficiencies
2. FIBONACCI STRUCTURE ANALYSIS:
- Applies custom Fibonacci levels to current market structure
- Provides specific trading levels (SL, TP1-5, Entry zones)
- Helps identify potential reversal and continuation zones
3. HALFTREND MOMENTUM:
- Uses ATR-based trend detection with channel visualization
- Provides clear buy/sell signals with trend confirmation
- Works as a filter for smart money signals
4. MULTI-TIMEFRAME DASHBOARD:
- Shows trend alignment across 10 different timeframes
- Helps identify confluence for higher probability setups
HOW COMPONENTS WORK TOGETHER:
- Smart Money concepts identify WHERE institutions are active
- Fibonacci levels determine KEY PRICE ZONES for entries/exits
- HalfTrend confirms the CURRENT TREND DIRECTION
- Multi-timeframe analysis ensures ALIGNMENT across time horizons
CREDITS:
- Drawing utilities: LudoGH68/Drawings_public/1
- Smart Money Concepts methodology
- Fibonacci price analysis techniques
- HalfTrend algorithm for trend detection
Grandoc's MTF SeparatorsOverviewThis indicator, known as Grandoc's MTF Separators, draws vertical lines to mark key period boundaries across multiple timeframes (MTF—standing for "Multi-Timeframe," which allows visualization of higher-timeframe structures like daily or weekly pivots directly on lower-timeframe charts, such as 15-minute views). It helps traders align intraday decisions with broader market cycles. Additionally, it includes optional session open/close lines and closing price ranges for major forex sessions (Sydney, Tokyo, Frankfurt, London, New York). By combining customizable timeframe separators with session-specific visuals, it provides a comprehensive tool for multi-timeframe analysis without cluttering the chart. The script is optimized for efficiency, using arrays to manage drawings and respect TradingView's limits.© grandoc
Created: October 12, 2025
Last Modified: October 12, 2025
Version: 1.4 (Improved: Added Frankfurt session with independent toggles for open/close lines and closing range)Key FeaturesMulti-Timeframe (MTF) Separators: Configurable lines for up to four timeframes (e.g., daily, weekly, monthly), plotted as vertical lines extending across the chart. Supports periods from seconds to years—ideal for spotting MTF confluences, like a weekly open aligning with a London session start.
Session Management: Independent toggles for open/close lines and 30-minute closing ranges for five major sessions. Opens use dotted lines by default; closes use solid lines. Frankfurt session added for European traders.
Customization: Select reference points (session start or midnight day start), timezones, colors, line styles, and lookback limits to control visibility and performance.
Efficiency: Arrays limit drawings to user-defined lookback periods, preventing overload on historical data.
Originality and UsefulnessThis script extends standard timeframe detection by integrating session visuals with granular controls, including the new Frankfurt session for better European market coverage. Unlike generic separators, it uses a modular drawSeparator() function for consistent rendering across MTF and sessions, reducing code redundancy. Closing ranges highlight volatility in the final 30 minutes of each session, serving as dynamic support/resistance—unique for session-based strategies.Ideal for forex traders on instruments like EURUSD futures, where aligning intraday trades with higher-timeframe pivots and session transitions reduces noise. For instance, on a 15-minute EURUSD futures chart, daily separators mark session-aligned opens, while London closing ranges flag potential reversal zones before New York handover. The MTF aspect shines here: A weekly separator (orange solid line) crossing a NY open (blue dotted) signals a high-probability setup.How It WorksMulti-Timeframe SeparatorsDetection: Uses ta.change(time(tf, sess, tzz)) to identify period starts, where tf is the timeframe string (e.g., "1D"), sess is "0000-0000" for day-midnight or empty for session-start, and tzz is the timezone.
Drawing: On change, drawSeparator() creates a vertical line via line.new(x1=x_time, x2=x_time, y1=open, y2=open + syminfo.mintick, extend=extend.both). The mintick offset ensures it's a line, not a point. Lines extend both ways for full visibility.
Management: Pushed to dedicated arrays (e.g., sepArray1); excess trimmed with array.shift() and line.delete() based on lookback.
Visibility: Only plots if higher timeframe (timeframe.in_seconds(tf) > timeframe.in_seconds()).
Session Open and Close LinesDetection: For each session (e.g., Sydney: "2200-0700:1234567"), inSession = not na(time(timeframe.period, sessionStr, sessionTz)). Opens trigger on inSession and not inSession ; closes on not inSession and inSession .
Drawing Opens: Calls drawSeparator(true, sessionColor, sessionOpenWidth, sessionOpenStyle, sessionLookback, sessLinesArray) at time (bar open time). Uses global dotted style/width by default for easy identification of new sessions.
Drawing Closes: Similar call, but at time_close (previous bar close) for precise end-time alignment. Uses global solid style/width. All shared in one sessLinesArray for unified trimming.
Navigation Benefit: Dotted opens act as "entry gates" for session momentum; solid closes as "exit signals." Colors differentiate sessions (e.g., green for Sydney), enabling quick scans—e.g., spot Tokyo open overlaps on EURUSD futures for Asian bias.
Closing RangesDetection: For each closing window (e.g., London: "1630-1700:1234567"), inClose = not na(time(timeframe.period, closeStr, sessionTz)).
Tracking: On entry (inClose and not inClose ), initializes high/low at current bar's values and stores bar_index. During session, updates with math.max/min(nz(var, high/low), high/low).
Drawing: On exit (not inClose and inClose ), creates box.new(left=startBar, right=bar_index-1, top=high, bottom=low, border_color=sessionColor, bgcolor=color.new(sessionColor, 80)). 80% transparency for subtle shading; border matches session color.
Management: Pushed to rangeBoxesArray; trimmed like lines. Only draws if toggle enabled (defaults off to avoid clutter).
Navigation Benefit: Ranges visually encapsulate end-of-session volatility—e.g., on EURUSD futures, a tight NY range signals low-risk continuation, while wide ones warn of gaps. Ideal for range-break trades or as next-session S/R.
All session elements use the dedicated sessionTz for consistency, independent of separator timezone.Installation and UsageAdd via TradingView's Public Library (search "Grandoc's MTF Separators").
Settings Navigation: Separators (#1-4): Toggle/enable timeframes (e.g., D1 default); lookback hidden for simplicity.
Style: Per-separator colors/widths/styles (hidden widths); global open/close styles for sessions.
Preferences: "Session" vs. "Day" reference (tooltips explain EURUSD example); timezone (hidden, Day-only).
Session Settings: Unified timezone for all sessions.
Open Lines (g4): Per-session toggles (all on default).
Close Lines (g7): Per-session toggles (all on default).
Closing Ranges (g5): Per-session toggles (all off default—enable for S/R focus).
Session Times (g8): Edit strings (e.g., adjust for DST on EURUSD futures).
Colors & Lookback (g6): Session colors; shared lookback limits.
Apply to EURUSD futures (e.g., 15-min chart) with defaults: See green daily dots, orange weekly solids, session opens/closes in theme colors.
Pro Tip: On futures, set "Session" reference and exchange TZ for accurate rollover alignment; enable ranges for close-of-day liquidity plays. For MTF depth, layer #3 (monthly) over intraday for long-term bias.
LimitationsLines/ranges may cluster on low-timeframe charts; increase lookback or disable lower separators.
Session times are UTC defaults; manual DST tweaks needed for futures like EURUSD.
Time-based; avoid non-standard charts (e.g., Renko).
No built-in alerts—use TradingView's on line/box conditions.
Example Chart Open-source for community reuse (credit © grandoc). Published October 12, 2025. Questions? Comment below!
Daily Vertical LineThis indicator draws vertical lines at a specific time each day, helping you visualize important intraday levels or session opens/closes.
Features:
Customizable time in EST timezone (hour and minute inputs)
Adjustable line color, width, and style (solid, dashed, or dotted)
Automatically draws lines for all historical days
Projects one line into the future for the next occurrence
Works on all intraday timeframes. Future line appears as semi-transparent and dashed to distinguish from historical data.
Bubble ChartBubble Chart- Visual Market Intelligence
⸻
⚡ Quick Start - Here is how you get started in 30 seconds
Default view (Y-axis: None) = market heatmap
X-axis always = performance
Bubble size = importance (your choice of metric)
Hover any bubble for details
Switch timeframes to change the measurement window
Pick any stock ticker to see their friends
Pick one of the 143 etfs listed below and see their top constituents
That's it. Everything else is deeper cuts of data
⸻
Overview
The Bubble Chart is a market-wide visual map designed to instantly reveal how thousands of stocks and ETFs are performing relative to their peers, all in a single glance.
It dynamically builds relationships between ~3,400 stocks and 143 ETFs , each with its own “friends list” of most-connected tickers. It’s a bit unlike all the other indicators, which you’ll see shortly. It’s a very Tops Down, then Sideways view of the market.
The 144 ETFs covered in the Bubble Chart indicator are listed here in this watchlist: www.tradingview.com
Each bubble represents a security.
X-axis → performance (% change)
Y-axis → variable (you choose the insight)
Bubble size → market cap, relative weight, or %volume
Color → relative performance (green up, red down)
Border → sector color
Your current chart’s timeframe determines the measurement window:
Intraday chart → today so far
Daily chart → week-to-date (WTD)
Weekly chart → month-to-date (MTD)
Monthly chart → year-to-date (YTD)
Everything is relative to that timeframe’s performance window — making it as useful for morning scans as for long-term sector rotations. I recommend starting with an intraday chart. The bubbles represent the day so far on this timeframe.
⸻
📦 Version Differences
Bubble Chart Lite (Free):
✓ All features and dimensions
✓ Up to 5 bubbles displayed
✓ Perfect for tracking top movers
Bubble Chart (Invite-Only):
✓ All features and dimensions
✓ Up to 38 bubbles displayed
✓ See actual market breadth and structure
✓ Indicator name: “Bubble Chart”
✓ Available under the indicator “Bubble Chart” (Invite-Only) — details on my profile
⸻
📊 Y-Axis Options
1. “None” - Heatmap Mode
By default, the Y-axis is set to “None”.
In this mode, the chart functions as a market heatmap, with:
Left-to-right representing relative performance (% change)
Bubble color indicating gain/loss
Bubble size reflecting your chosen metric (Market Cap, Weight, or %Volume)
Up-down randomized just for bubble separation
Think of it as a fancy heatmap with extra context — sector coloring, bubble sizing, and tooltips that surface live data.
Perfect for a quick snapshot of the day’s winners and losers across your selected universe.
⸻
1. %Turnover
This measures conviction behind each move.
Turnover = current money flow vs. average money flow over your lookback window.
A large % move with low turnover = a weak move with little backing.
A moderate % move with high turnover = strong participation, higher conviction.
This is my personal favorite morning setup — it instantly reveals where real buying and selling pressure is emerging as the session unfolds.
A horizontal line across your selected ticker acts as a benchmark, so you can compare others’ conviction levels relative to it.
Any %turnover score >100 means more money than average is flowing in and out of this name. In the example above, ELS, AMT, SUI, and PSA were positive on the day and saw more than the average amount of money being transacted on these tickers today. Do the same for the negative (KIM, ESS, HST, etc), and you know where the money is going. Below 100, the move lacked conviction.
⸻
2. %ATR
Measures range expansion or compression relative to average volatility.
A stock can move big in price but stay inside a tight range → no expansion.
A stock can move little but break its typical volatility boundary → range expansion.
Expansion often signals momentum continuation; compression after large moves can precede turnarounds or consolidations.
This view helps you spot early volatility inflection points.
In the example above, in XLRE, you can see there are a lot of companies that are experiencing a range expansion to the downside. These stocks are now short setup stocks, as the power is pretty overwhelming (number of top companies as well as magnitude over the 100 index). However, there are 3 Stocks that are doing something completely different than the rest. AMT, SBAC, and CCI are experiencing range expansion (volatility) to the upside. These may become the new leaders. You would have to inspect each ticker to see what’s going on.
⸻
3. ROC(5) Z-Score
Z-Score quantifies how far a data point deviates from its mean, measured in standard deviations.
Here it’s applied to 5-period Rate of Change (ROC5).
A high positive Z-Score = performance far above its historical average.
A low (negative) Z-Score = deeply oversold vs. history.
Use this view to identify stretched momentum or mean-reversion candidates:
Stocks high on the Y-axis and green = extended upside momentum
Stocks high but red = potential reversal zones
Stocks low and red = extreme washouts that may soon rebound
This makes it a powerful stock-picking lens for traders who look for reversions or contrarian entries.
The following is the XLU and its 5 top holdings. Looked at on the daily timeframe, which means the ROC(5) score is for its weekly ROC (see timeframe discussion above).
What you can see here is most stocks are within their normal acceleration band. However BIIB is very close to -200. This is uncommon.As you can see from the chart of BIIB with it’s ROC(5) graphed below it, this does indicate a short term turn, and is a high probability long setup.
⸻
4. RSI(15) Z-Score
Similar to the ROC version, but based on RSI(15).
It contextualizes RSI against its own historical distribution, not the fixed 0–100 scale.
When RSI’s Z-Score is above +100 → historically overbought.
Below -100 → historically oversold.
A stock with a high RSI Z-Score but negative performance may be starting to roll over.
A stock with a low RSI Z-Score but positive performance could be beginning a rebound.
This lens is especially powerful for early spotting of turning points in swing and position trades.
In this view, we can see a bunch of stocks that are at or below their -200 Z-Score which suggests RSI is going to increase soon. Taking a look at KKR, we see that it is indeed an area where we might want to look for a short term bounce. .
⸻
5. %52-Week High / %52-Week Low
These two let you visualize positioning within the broader yearly range.
%52-Week High:
Shows how close each ticker is to its highs. Stocks near the top may be in breakout mode.
%52-Week Low:
Shows distance from the lows. Watching these can highlight potential recovery trades — many reversals start when beaten-down stocks begin to cluster and climb from their lows.
Are you really going to want to mess around with VZ? Other companies are winning the race
⸻
⚙️ Bubble Size Options
Market Cap-
Larger companies = larger bubbles.
Ideal for weighting visibility by overall size of influence in the market or sector.
ETF/Friend Weight-
Scales bubbles by their relationship weight to the target ETF or stock.
This helps identify which peers or constituents exert the most pull within the current context.
%Volume-
This scales by relative volume to average volume.
Big bubbles here mean unusual activity, perfect for spotting where participation is surging.
⸻
👥 Friends — Relationship Mapping
Every ticker on the chart has its own “friends list.”
These aren’t arbitrary. They’re discovered through a multi-stage algorithm that analyzes co-occurrence of holdings across ETFs and sectors, roughly like social network analysis for stocks. This is what allows a chart of one stock to intelligently surface others that behave like it, whether through shared ETFs, sector overlap, or statistical co-presence.
Why Friends Matter: When you load AAPL, the chart doesn't just show random stocks. It shows AAPL's "friends", the tickers most connected to it through:
Shared ETF holdings
Sector relationships
Statistical co-movement
This means you're seeing AAPL's context, not just AAPL. Example: AAPL up 2% might look strong, but if all its friends are up 3-4%, AAPL is actually lagging. The chart reveals this instantly.
In this friendship look, you can see companies that are in better (and worse) shape for the month (we are looking at it on the “W” timeframe). If I didn’t own ORCL, INTC, or MU (hidden use tooltip), I should start looking at them.
⸻
Common Setups - do these today
Morning Momentum Scan: - Y-axis: %Turnover - Bubble Size: %Volume - Look for: Top-right quadrant (high performance + high conviction)
Reversal Hunting: - Y-axis: RSI(15) Z-Score - Look for: Red bubbles above +100 (overbought rolling over) Green bubbles below -100 (oversold bouncing)
Sector Rotation: - Y-axis: None (heatmap mode) - Bubble Size: Market Cap - Look for: Color clustering by sector (border colors)
⸻
🧩 Data Sources
ETF Constituents:
ETF holdings are derived from information filed with the SEC’s EDGAR database, specifically N-PORT-P filings. These filings are public records submitted by ETF issuers.
Because EDGAR data can vary in structure and naming conventions, additional parsing, fuzzy matching, and ticker reconciliation logic were applied. Some inconsistencies may remain, and minor inaccuracies are possible.
EDGAR filings can also lag slightly behind real-time changes to ETF portfolios; however, for this visualization tool, that level of latency does not materially affect its purpose or insights.
Exchange & Share Count Data:
Information on exchanges and outstanding shares primarily comes from the SEC Company Facts API.
When unavailable, supplemental values are inferred from public SEC filings such as 8-K, 10-Q, and 10-K reports, and the SEC Company Submissions API for general company metadata.
All such data is publicly accessible through the SEC’s online systems.
I will update the SEC information on the ETFs once every 3 months to ensure etf constituent accuracy.
Sector & Industry Classification:
Sector and industry classifications were developed through a custom workflow that combines automated and human-reviewed methods.
An internal AI system analyzed each company’s publicly available website information to summarize business activities and assign one of 144 custom-defined industry categories.
Results were cross-checked by multiple independent classification models, and any uncertain outputs were manually reviewed for accuracy.
To improve interpretive consistency, publicly available information from StockAnalysis.com was also referenced (not republished) to inform final classifications.
Their content was used in accordance with their stated policy allowing limited reference with attribution — no full content or proprietary data was reproduced.
⸻
🚀 How to Use It
Load the Bubble Chart on any stock, ETF, or futures symbol.
Choose your Y-axis insight — start with “None” for the heatmap.
Adjust bubble size to highlight capital weight or activity.
Switch timeframes to shift context (today, this week, month, or year).
Hover bubbles for details: sector, turnover, z-scores, %volume, and more.
⸻
❓ Frequently Asked Questions
Q: Why do I only see 5 bubbles?
A: You're using Bubble Chart Lite. The full version shows up to 39 bubbles simultaneously for complete market breadth..
To get access:
Find the "Bubble Chart" (invite-only) indicator on TradingView
Read the description for access instructions
Or visit my TradingView profile for details
Q: Can I customize which tickers appear?
A: The indicator automatically selects the most relevant tickers based on the current chart's symbol and the friends algorithm. This ensures you're seeing context, not random stocks.
Q: What timeframe should I use?
A: Any timeframe works. The chart adapts: - Intraday = today's performance - Daily = week-to-date - Weekly = month-to-date - Monthly = year-to-date
Q: How often does the friends list update?
A: Friends relationships are recalculated periodically as ETF holdings change (once every 3 months). The relationships are stable enough that daily changes are minimal.
Q: Does this work on crypto/forex?
A: Currently optimized for US equities and ETFs. Other asset classes may show limited friends data.
Q: The chart looks cluttered. Help?
A: Start with Y-axis: None and Bubble Size: Market Cap. You can also choose to pick less number of bubbles which will clear up the chart
⸻
The Bubble Chart is a market topology engine that visualizes participation, conviction, volatility, and sentiment in real time.
Whether you’re scanning morning momentum, identifying exhausted moves, or exploring ETF ecosystems, it gives you a spatial view of where the action really is.
Opening Range Fibonacci Extensions (ATR Adjusted)this script displays daily, weekly, or monthly range extensions as a function of ATR in a Fibonacci retracement
Multi-Timeframe Open & High/Low MarkersWill mark opening of month week quater year as input via user.
Also give option to mark high low at Specified Time Frame
One can use reference that if CMP is above monthly opening of High Low the script is bullish
and vice versa
VWMA True Range | Lyro RSVWMA True Range | Lyro RS
This script is a hybrid technical analysis tool designed to identify trends and spot potential reversals. It employs a consensus-based system that uses multiple smoothed, Volume-Weighted Moving Averages (VWMA) to generate both trend-following and counter-trend signals.
Understanding the Indicator's Components
The indicator plots a main line on a separate pane and provides visual alerts directly on the chart.
The Main Line: This line represents a smoothed average of momentum scores derived from multiple VWMAs. Its direction and value are the foundation of the analysis.
Signal Generation: The tool provides two distinct types of signals:
Trend Signals: These trend-following signals ("⬆️Long" / "⬇️Short") activate when the indicator's consensus reaches a pre-set strength threshold, indicating sustained momentum in one direction.
Reversal Signals: These counter-trend alerts ("📈Oversold" / "📉Overbought") trigger when the main line breaks a previous period's level, hinting at exhaustion and a potential short-term reversal.
Visual Alerts:
Colored Background: The indicator's background highlights during strong trend signals for added visual emphasis.
Chart Shapes: Small circles appear on the main chart to mark where potential reversals are detected.
Colored Candles: You can choose to color the price candles to reflect the current trend signal.
Information Table: A compact table provides an at-a-glance summary of all currently active signals.
Suggested Use and Interpretation
Here are a few ways to incorporate this indicator into your analysis:
Following the Trend: Use the "Long" or "Short" trend signals to align your trades with the prevailing market momentum.
Spotting Reversals: Watch for "Oversold" or "Overbought" reversal signals, often accompanied by chart shapes, to identify potential market turning points.
Combining Signals: Use the primary trend signal for context and look for reversal signals that may indicate a pullback within the larger trend, potentially offering favorable entry points.
Customization Options:
You can tailor the indicator's behavior and appearance through several settings:
Core Settings: Adjust the Calculation Period and Smooth Length to make the main line more or less responsive to price movements.
Signal Thresholds: Fine-tune the Long threshold and Short threshold to control how easily trend signals are triggered.
Visual Settings: Toggle various visual elements like the indicator band, candle coloring, and the information table on or off.
Table Settings: Customize where the information table appears and its size to suit your chart layout.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not guarantee future results. It should be used as part of a comprehensive trading strategy that includes other analysis techniques and strict risk management. The creators are not responsible for any financial decisions made based on its signals.
Trader Jumblo AutoZone – Precision Entry SystemTrader Jumblo Auto Zone is a precision entry system developed by Trader Jumblo, designed for traders who demand accurate, fast, and structure-based market entries.
🚀 Core Features:
✅ Automatically detects Supply & Demand Zones from H1 & H4 structures
✅ Automatically plots Entry, Take-Profit (TP), and Stop-Loss (SL) based on active zones
✅ Provides LIVE Alerts when a candle touches a valid zone
✅ Zones automatically fade out after being used
✅ No repaint — all signals remain valid after bar confirmation
📊 Best Used For:
• Scalping & Intraday Trading
• Zone Confirmation & Retest Entries
• Works perfectly when combined with liquidity-based analysis
Timeframe LiquidityTimeframe Liquidity – Multi-Timeframe Highs & Lows by @archie_trades
Timeframe Liquidity automatically plots previous day, week, month, and year highs and lows — key liquidity zones used by smart money and price-action traders. These levels extend into the future and can automatically stop once price wicks through, showing clear liquidity sweeps and tested zones.
Perfect for traders using ICT concepts, liquidity theory, or market structure analysis. Instantly see where liquidity rests, where it’s been taken, and how price reacts at major support and resistance.
Features:
Auto-plots PDH/PDL, PWH/PWL, PMH/PML, PYH/PYL
Custom line styles, colors, and label sizes
Option to stop line on wick (liquidity sweep)
Smart timeframe visibility (hides same-TF levels)
Accurate UTC offset handling
Identify liquidity pools fast, trade cleaner charts, and track where smart money hunts liquidity.
Built for precision, clarity, and confluence.
Dynamic 21 SMA Zone S/R (Weekly and 2-Day)This custom indicator creates a dynamic support and resistance zone based on the 21-period Simple Moving Average (SMA) from the weekly timeframe and the 21-period SMA from the 2-day timeframe. The zone is visible and functional across all chart timeframes, adapting seamlessly to provide multi-timeframe insights.
Color Logic:
Green: When the current price is fully above the upper boundary of the zone, indicating potential bullish strength or a support level.
Gray: When the price is fully below the lower boundary, signaling potential bearish pressure or a resistance level.
Light Blue: When the price is within the zone (between the two SMAs), representing a neutral "no man's land" where the market is indecisive.
As the two SMAs converge or diverge, the zone naturally thins or widens, visually reflecting changes in market momentum—such as a thinning green zone during a potential reversal. Ideal for higher-timeframe swing trading to identify key levels, this indicator is also useful on lower timeframes for gauging the relative position of these SMAs, helping traders align short-term moves with broader trends.