MACD ADX OscillatorPrecision Trend Confirmation for Smart Traders The MACD Oscillator combines two powerful technical indicators to filter out false signals and identify high-probability trade setups. By merging MACD momentum crossovers with ADX trend strength validation, this indicator ensures you only receive alerts when both momentum AND trend strength align in your favor.
Visual Signal Clarity - Clear BUY/SELL labels appear only on confirmed setups
Dynamic Histogram - Color-coded momentum bars show trend acceleration/deceleration
Trend Strength Filtering - ADX threshold eliminates weak, choppy market signals
Multi-Timeframe Ready - Works effectively on any timeframe from scalping to swing trading
Perfect for traders who want to avoid whipsaws in ranging markets and focus only on high-quality trend entries backed by momentum confirmation.
Osilatörler
Matrix Momentum OscillatorThe Matrix Momentum Oscillator is a sophisticated momentum indicator created by MatrixAlgo that combines trend analysis with oscillator dynamics to provide comprehensive market insights. This professional-grade tool transforms complex price action into clear, actionable signals.
Key Features:
Multiple Trend Algorithms - Choose between EMA, SMA, HMA, or RMA to match your trading preference and market conditions
Dynamic Volatility Bands - Bullish and bearish zones automatically adjust based on market volatility, highlighting extreme conditions
Dual-Line System - Main oscillator line paired with a signal line generates precise crossover opportunities
Visual Histogram - Color-coded bars show the momentum strength and direction at a glance
Smart Signal Filters - Optional volume and RSI filters help eliminate false signals and improve accuracy
Real-Time Dashboard - Live info panel displays current trend direction, oscillator value, and signal status
Extreme Zone Detection - Background highlighting alerts you when the oscillator reaches extreme bullish or bearish levels
Comprehensive Alert System - Notifications for buy/sell signals and extreme zone entries
Fully Customizable - Adjust colors, lengths, multipliers, and filters to create your perfect setup
Strategy Scanner (H4 Trend + Clouds)Here is a trend-following strategy I coded for the H4: it first filters the overall direction via the EMA 200, waits for a precise price correction in the recharge zone (between EMA 13 and 32), and only validates the entry if the Stoch RSI confirms an extreme extension (< 10 or > 90) to maximize the chances of a rebound. With a comprehensive tool designed for Trend Following and Pullback traders. It combines Short-Term Momentum, Long-Term Structure, and Multi-Timeframe (MTF) analysis into a single, clean indicator.
aza
@aza 92i
RAHUPrice Action Entry Signals is an intraday trading indicator designed for traders who want clear, uncluttered charts with high-probability entry signals.
The script combines multiple market-strength and trend-confirmation tools internally, while displaying only actionable buy signals and predefined targets on the price chart.Optimized for 5-minute timeframe
Clean chart – no indicator lines displayed
Generates directional buy signals only
Automatic three target levels (T1, T2, T3)
Suitable for index, stock, and intraday tradingEach valid entry automatically plots:
T1 – Short-range target
T2 – Medium-range target
T3 – Extended target
Targets are plotted relative to the entry price, helping traders manage exits objectively.
Who This Indicator Is For
Intraday traders
Options traders
Traders who prefer minimal visual clutter
Traders who use rule-based entriesBest Practices
Use with proper risk management
Avoid trading during low-liquidity periods
Combine with higher-timeframe market context
Always confirm with market conditionsDisclaimer
This indicator is a technical analysis tool only.
It does not guarantee profits and should not be considered financial advice.
All trading involves risk.
QMF- Market Structure & Signal Suite [BullByte]QUANTUM MOMENTUM FUSION - Market Structure and Signal Suite
OVERVIEW
Quantum Momentum Fusion is a comprehensive market analysis framework built around a multi-dimensional momentum oscillator. This indicator was designed to give traders a complete analytical workspace in a single tool, combining momentum measurement, market structure identification, trendline analysis, divergence detection, and multi-timeframe context into one unified system.
The core philosophy behind QMF is that successful trading decisions come from understanding multiple aspects of market behavior simultaneously, not from relying on any single indicator or signal. The oscillator serves as the analytical foundation, and every other component builds upon it to create a complete picture of current market conditions.
This description will walk through each component of the indicator, explaining what it measures, why that information matters, and how to interpret what you see on the chart. Whether you are an experienced trader familiar with oscillator analysis or newer to technical indicators, each section aims to make the concepts accessible and practical.
THE QUANTUM ENGINE: UNDERSTANDING THE CORE OSCILLATOR (why its original and not a mashup)
At the heart of this indicator is the Quantum Momentum Fusion oscillator, displayed in its own pane below the price chart. Unlike traditional oscillators that measure a single aspect of price behavior, the QMF oscillator synthesizes four distinct market dimensions into one unified reading.
WHAT IS AN OSCILLATOR
For those less familiar with the term, an oscillator is a technical indicator that fluctuates between defined boundaries, typically showing whether an asset is experiencing strong buying pressure, strong selling pressure, or neutral conditions. The QMF oscillator moves between 0 and 100, with 50 representing the neutral midpoint.
When the oscillator is high (above 70), it suggests the market has experienced significant upward momentum and may be approaching exhaustion. When low (below 30), it suggests the market has experienced significant downward momentum and may be due for a bounce. The space between these extremes represents normal market fluctuation.
THE FOUR DIMENSIONS
What makes the QMF oscillator different from standard momentum indicators is that it combines four separate measurements into its calculation. Each dimension captures a different aspect of market behavior:
VELOCITY DIMENSION
This measures how quickly momentum itself is changing. Think of it like acceleration in a car. Knowing the car is moving forward (direction) is useful, but knowing whether the driver is pressing the accelerator or the brake (acceleration) tells you what is likely to happen next. The velocity dimension calculates the rate of change of the rate of change, providing early warning when momentum is about to shift direction. In practical terms, this can show momentum weakening before price actually reverses.
Why it matters: Price can continue in one direction for a while even after the underlying momentum starts to fade. By measuring acceleration, you can identify potential turning points earlier than with simple momentum indicators.
How it appears: This dimension is calculated internally and combined with the others. You do not see it separately, but its effect shows in the oscillator responding earlier to momentum shifts.
VOLUME DIMENSION
This measures price movement weighted by trading volume. A price move accompanied by high volume has different significance than the same price move on low volume. High volume suggests conviction and participation from larger traders. Low volume suggests the move may lack follow-through.
The volume dimension multiplies price change by a volume ratio (current volume compared to average volume), giving greater weight to moves that have volume confirmation behind them.
Why it matters: Volume often precedes price. Strong volume on a move suggests institutional participation and increases the probability that the move will continue. Weak volume on a move suggests it may be easily reversed.
How it appears: Moves with strong volume conviction will push the oscillator more definitively, while low-volume moves will have muted effect on the reading.
VOLATILITY DIMENSION
This normalizes price movement against the current volatility environment. Markets go through periods of high volatility (large price swings) and low volatility (small price swings). A 1% move during a low volatility period is more significant than a 1% move during a high volatility period.
The volatility dimension divides price change by Average True Range (ATR), which measures typical price range. This tells you whether current movement is significant relative to what is normal for this market right now.
Why it matters: Without volatility normalization, the oscillator would react the same way to all price moves regardless of context. By adjusting for volatility, the oscillator identifies moves that are genuinely significant versus normal noise within the current regime.
How it appears: During quiet markets, smaller price moves can still register as significant if they exceed normal volatility. During volatile markets, the oscillator will not overreact to moves that are within expected range.
SESSION DIMENSION
This tracks where price is positioned relative to the session Volume Weighted Average Price (VWAP). VWAP represents the average price at which trading has occurred during the session, weighted by volume. Institutional traders often use VWAP as a benchmark for fair value.
When price is consistently above VWAP, it suggests buyers are willing to pay above average prices, indicating accumulation. When price is consistently below VWAP, it suggests sellers are accepting below average prices, indicating distribution.
Why it matters: VWAP positioning provides insight into whether institutional traders are likely accumulating or distributing. Price repeatedly returning to and bouncing from VWAP can indicate support, while price repeatedly failing at VWAP can indicate resistance.
How it appears: The session dimension contributes bullish readings when price maintains above VWAP and bearish readings when price maintains below VWAP.
ADAPTIVE WEIGHTING
The four dimensions are combined using configurable weights, and the system can operate in Adaptive Mode. When Adaptive Mode is enabled, the indicator automatically adjusts its sensitivity based on the current volatility regime. During high volatility periods, sensitivity increases to capture larger moves. During low volatility periods, sensitivity decreases to filter out noise.
This means the oscillator adapts to changing market conditions without requiring manual adjustment.
READING THE OSCILLATOR: DISPLAY MODES AND ZONES
The QMF oscillator can be displayed in four different visual formats. Each shows the same underlying data but presents it differently based on trader preference.
ENERGY CANDLES
This mode displays the oscillator as candlestick-style candles. Just as price candles show open, high, low, and close for price, energy candles show these values for the QMF oscillator.
Green candles indicate the oscillator closed higher than it opened (bullish momentum). Red candles indicate the oscillator closed lower than it opened (bearish momentum). The body size shows how much the oscillator moved during the period. Larger bodies indicate stronger momentum conviction.
This format is useful for traders who are comfortable reading candlestick patterns and want to apply similar visual analysis to the oscillator.
QMF LINE
This mode displays the oscillator as a traditional line chart with a signal line overlay. The main QMF line shows current momentum. The signal line is a smoothed average of the QMF that helps identify direction changes.
When the QMF line is above the signal line, momentum is bullish. When below, momentum is bearish. Crossovers between the two lines can indicate momentum shifts.
This format is familiar to traders who use indicators like MACD and prefer clean line-based visualization.
IMPULSE BARS
This mode displays the oscillator as a histogram centered on the 50 midline. Bars above 50 indicate bullish momentum, bars below 50 indicate bearish momentum. Bar height shows momentum strength.
The color intensity changes based on momentum direction. Bars that are increasing in the bullish direction show brighter color. Bars that are decreasing show muted color. This makes it easy to see momentum acceleration and deceleration at a glance.
HEIKIN FLOW
This mode applies Heikin-Ashi smoothing to the energy candles. Heikin-Ashi is a Japanese technique that averages price data to create smoother trends with fewer reversals.
The result is cleaner visual trends that are easier to follow, though with slightly more lag than standard energy candles. This format is useful for identifying sustained momentum moves without getting distracted by minor fluctuations.
OSCILLATOR ZONES
Regardless of display mode, the oscillator pane includes horizontal reference lines that define important zones:
Midline at 50: The neutral point. When the oscillator is above 50, overall momentum is bullish. When below 50, overall momentum is bearish.
Overbought level at 70: When the oscillator crosses above this level, the market is showing strong bullish momentum. However, this also means prices have risen significantly and bearish reversal probability increases the longer the oscillator stays elevated.
Oversold level at 30: When the oscillator crosses below this level, the market is showing strong bearish momentum. However, this also means prices have fallen significantly and bullish reversal probability increases.
Extreme overbought at 85: Maximum bullish exhaustion. At this level, almost all short-term buying pressure has been expended. Reversal probability is high.
Extreme oversold at 15: Maximum bearish exhaustion. At this level, almost all short-term selling pressure has been expended. Reversal probability is high.
Understanding these zones helps you assess the current market condition before looking at any other indicator components.
MARKET STRUCTURE: DYNAMIC SUPPORT AND RESISTANCE
The second major component of the indicator is market structure analysis through dynamic support and resistance levels. Unlike price-based support and resistance, these levels are calculated directly on the oscillator.
WHAT ARE OSCILLATOR-BASED S/R LEVELS
When the QMF oscillator reaches a high point and then reverses lower, that high point becomes a resistance level on the oscillator. When the oscillator reaches a low point and then reverses higher, that low point becomes a support level.
These levels represent momentum thresholds that the market has previously found difficult to exceed. They answer the question: At what momentum reading has the oscillator historically reversed?
WHY THIS MATTERS
Oscillator support and resistance provides different information than price support and resistance. Price S/R tells you where buyers and sellers have previously entered the market. Oscillator S/R tells you what level of momentum the market has been able to sustain.
If the oscillator approaches its resistance level, it suggests momentum is reaching the upper bounds of what has been achievable recently. Either momentum will break through (indicating unusually strong conditions) or it will reverse (indicating normal mean reversion).
Similarly, if the oscillator approaches support, it suggests momentum is reaching exhaustion levels that have previously triggered bounces.
HOW IT APPEARS ON THE CHART
Resistance is displayed as a horizontal red line with a RES label on the oscillator pane. Support is displayed as a horizontal cyan line with a SUP label. These lines update dynamically as new pivots form.
When the oscillator breaks through these levels, markers appear:
R with up arrow: Resistance level broken, indicating unusually strong bullish momentum
S with down arrow: Support level broken, indicating unusually strong bearish momentum
R with checkmark: Resistance held, price rejected at this level
S with checkmark: Support held, price bounced from this level
The dashboard also shows current S/R status: whether the oscillator recently broke resistance, broke support, is currently at resistance, is currently at support, or is in clear space between levels.
AUTOMATED TRENDLINES: MOMENTUM TREND STRUCTURE
The third major component is automated trendline detection on the oscillator. This identifies trending behavior in momentum itself, separate from price trends.
WHAT ARE OSCILLATOR TRENDLINES
Just as you can draw trendlines on a price chart connecting swing lows (uptrend) or swing highs (downtrend), the indicator draws trendlines on the oscillator connecting pivot points.
Support trendlines connect oscillator pivot lows and project forward with a flat or rising slope. These show upward trending momentum where each pullback finds support at a higher level.
Resistance trendlines connect oscillator pivot highs and project forward with a flat or falling slope. These show downward trending momentum where each rally faces resistance at a lower level.
WHY THIS MATTERS
Price trends and momentum trends do not always align. Price can continue making higher highs while momentum makes lower highs, a condition called bearish divergence. Momentum trendlines help visualize this behavior.
When momentum is making higher lows (rising support trendline), it suggests underlying strength even if price is consolidating. When momentum is making lower highs (falling resistance trendline), it suggests underlying weakness even if price is holding.
Breaks of these trendlines often precede price moves. If a falling momentum resistance trendline breaks upward, it suggests bearish pressure is releasing and bullish momentum may follow. If a rising momentum support trendline breaks downward, it suggests bullish pressure is failing and bearish momentum may follow.
HOW IT APPEARS ON THE CHART
Support trendlines appear in blue/cyan, resistance trendlines appear in pink/magenta. Lines extend forward from the most recent pivot point to show projected levels.
Small circle markers can optionally appear at each pivot point used to construct the trendlines, helping you verify the anchor points.
When the oscillator breaks through a trendline, markers appear:
TL with up arrow: Resistance trendline broken upward (bullish breakout)
TL with down arrow: Support trendline broken downward (bearish breakdown)
Trendline strength is calculated based on three factors: how many pivot points validate the line, how recently it formed, and the angle of the slope. Stronger trendlines have more touches, formed recently, and have moderate slopes. You can filter trendlines by strength to show only the most significant ones.
Optional trendline zones can display a shaded area around each trendline rather than just a single line, showing a zone of influence rather than a precise level.
DIVERGENCE: WHEN PRICE AND MOMENTUM DISAGREE
The fourth major component is divergence detection, which identifies discrepancies between price action and oscillator behavior.
WHAT IS DIVERGENCE
Divergence occurs when price makes a new high or low, but the oscillator fails to confirm it. This disagreement between price and momentum often precedes reversals.
There are four types of divergence:
REGULAR BULLISH DIVERGENCE
Price makes a lower low (new low point below the previous low), but the oscillator makes a higher low (its low point is above its previous low). This suggests that despite price going lower, selling momentum is actually weakening. The implication is that sellers are losing conviction and a bounce or reversal may be approaching.
Visual example: Imagine price drops from 100 to 95, bounces to 97, then drops again to 93. At the same time, the oscillator drops to 25, bounces to 35, then drops only to 30. Price made a lower low (93 vs 95) but the oscillator made a higher low (30 vs 25). This is regular bullish divergence.
REGULAR BEARISH DIVERGENCE
Price makes a higher high (new high point above the previous high), but the oscillator makes a lower high (its high point is below its previous high). This suggests that despite price going higher, buying momentum is actually weakening. The implication is that buyers are losing conviction and a pullback or reversal may be approaching.
HIDDEN BULLISH DIVERGENCE
Price makes a higher low (its low point is above its previous low), but the oscillator makes a lower low (new low below its previous low). This occurs during uptrends and suggests the trend will continue. Price is holding higher but momentum briefly dipped further, indicating a temporary pullback within a larger uptrend.
HIDDEN BEARISH DIVERGENCE
Price makes a lower high (its high point is below its previous high), but the oscillator makes a higher high (new high above its previous high). This occurs during downtrends and suggests the trend will continue. Price is staying lower but momentum briefly spiked higher, indicating a temporary bounce within a larger downtrend.
Regular divergence suggests reversal. Hidden divergence suggests continuation.
HOW IT APPEARS ON THE CHART
When divergence is confirmed, labels appear on the oscillator:
BULL DIV: Regular bullish divergence confirmed
BEAR DIV: Regular bearish divergence confirmed
H-BULL: Hidden bullish divergence confirmed
H-BEAR: Hidden bearish divergence confirmed
Dotted lines connect the pivot points on the oscillator to show the divergence pattern. Regular divergence uses solid colored lines, hidden divergence uses dashed lines.
The dashboard shows divergence status in real-time:
CHECKING BULL: A potential bullish divergence pattern is forming but not yet confirmed
CHECKING BEAR: A potential bearish divergence pattern is forming but not yet confirmed
BULL CONFIRMED: Bullish divergence has been validated
BEAR CONFIRMED: Bearish divergence has been validated
NONE: No divergence currently active
Divergence strength is calculated from the magnitude of the oscillator discrepancy. Only divergences meeting the minimum strength threshold are displayed to filter out minor, less significant patterns.
FLOW RIBBONS: VISUALIZING MOMENTUM ALIGNMENT
The fifth major component is the Flow Ribbon system, which displays multiple moving averages of the QMF oscillator to visualize momentum trend and alignment.
WHAT ARE FLOW RIBBONS
Flow ribbons consist of three Exponential Moving Averages (EMAs) applied to the QMF oscillator values. Think of them as smoothed versions of the oscillator at different speeds:
Fast Ribbon : Responds quickly to momentum changes, showing recent momentum direction
Medium Ribbon: Balances responsiveness with smoothness, showing intermediate momentum
Slow Ribbon: Moves slowly and shows longer-term momentum context
When these three lines are plotted together with filled area between them, they create a visual ribbon that expands and contracts based on momentum conditions.
WHY RIBBON ALIGNMENT MATTERS
The relationship between these three averages tells you about momentum structure:
BULLISH ALIGNMENT (Fast above Medium above Slow)
When the ribbons are stacked with fast on top, medium in middle, and slow on bottom, momentum is aligned bullishly across multiple timeframes. Short-term momentum leads, with medium and long-term momentum confirming. This is the strongest bullish configuration.
BEARISH ALIGNMENT (Fast below Medium below Slow)
When the ribbons are inverted with fast on bottom, medium in middle, and slow on top, momentum is aligned bearishly across multiple timeframes. Short-term momentum leads downward, with medium and long-term momentum confirming. This is the strongest bearish configuration.
MIXED/TRANSITIONING
When the ribbons are not properly stacked, momentum is in transition. This often occurs during consolidation, trend changes, or choppy conditions. Trading during mixed ribbon states carries higher uncertainty.
RIBBON EXPANSION AND CONTRACTION
Beyond alignment, the distance between the fast and slow ribbon provides additional information:
EXPANDING RIBBON
When the gap between fast and slow ribbon is increasing, momentum is accelerating. In a bullish alignment with expansion, upward momentum is strengthening. In a bearish alignment with expansion, downward momentum is strengthening. Expansion confirms trend conviction.
CONTRACTING RIBBON
When the gap between fast and slow ribbon is decreasing, momentum is decelerating. The current trend may be losing steam. Contraction often precedes consolidation or reversal. It serves as an early warning that the current move may be exhausting.
HOW IT APPEARS ON THE CHART
The fast ribbon appears as a thicker line, the slow ribbon as a thinner line. The area between them fills with color:
Green fill: Bullish ribbon alignment
Red fill: Bearish ribbon alignment
Gray fill: Neutral or transitioning state
The dashboard shows ribbon state as BULL, BEAR, or NEUT, and indicates whether ribbons are expanding (EXP) or contracting (CON).
Ribbon crossovers occur when the fast ribbon crosses the slow ribbon, signaling potential momentum shifts. These crossovers are confirmed only after the bar closes to prevent false signals from intrabar movement.
REVERSAL CLOUDS: PROBABILITY ZONES
The sixth major component is the Reversal Cloud system, which visualizes zones where momentum reversals have elevated probability.
WHAT ARE REVERSAL CLOUDS
Reversal clouds are shaded areas around the QMF oscillator that indicate probability zones for mean reversion. They answer the question: How far from average has momentum extended, and what is the probability it will revert?
When the oscillator moves far from its normal range, it creates stretched conditions. Like a rubber band pulled to its limit, the probability increases that it will snap back toward center. Reversal clouds visualize these stretched conditions.
CLOUD CALCULATION METHODS
Five different calculation methods are available, each with different characteristics:
DYNAMIC BOLLINGER
Uses statistical standard deviation to create bands that adapt to oscillator volatility. When the oscillator is volatile, bands widen. When the oscillator is calm, bands narrow. This method identifies moves that are statistically significant relative to recent oscillator behavior.
GOLDEN RATIO
Applies Fibonacci proportions (0.214 and 0.786) to the oscillator range. These ratios appear throughout nature and markets. Some traders believe these proportions have psychological significance in market behavior.
ADAPTIVE HALO
Scales cloud width based on price ATR rather than oscillator volatility. This connects cloud width to actual price volatility, making the clouds wider during volatile price action and narrower during calm periods.
VOLATILITY SQUEEZE
Uses short-term standard deviation to create bands that contract during low volatility and expand during high volatility. This method is particularly useful for identifying potential breakout conditions when volatility is compressed.
ICHIMOKU RSI
Applies concepts from Ichimoku Kinko Hyo equilibrium theory to create balanced zones. Uses multiple lookback periods to establish equilibrium levels where the oscillator tends to find balance.
HOW TO READ THE CLOUDS
The oscillator moves through the cloud area as momentum fluctuates:
When QMF enters the upper cloud region, it indicates extended bullish momentum. The higher into the cloud, the greater the probability of bearish reversal through mean reversion.
When QMF enters the lower cloud region, it indicates extended bearish momentum. The deeper into the cloud, the greater the probability of bullish reversal through mean reversion.
Cloud opacity adjusts based on reversal probability. More opaque coloring indicates higher reversal probability. Subtle coloring indicates lower reversal probability.
IMPORTANT UNDERSTANDING
Clouds show probability zones, not certainty. Price can remain in extreme zones longer than expected, particularly during strong trends. Clouds are most useful when combined with other components like divergence, S/R breaks, and ribbon alignment rather than used in isolation.
MULTI-TIMEFRAME ANALYSIS: SEEING THE BIGGER PICTURE
The seventh major component is Multi-Timeframe (MTF) analysis, which calculates QMF values across multiple timeframes to assess momentum alignment at different time perspectives.
WHY MULTIPLE TIMEFRAMES MATTER
The timeframe you trade on shows only one perspective of market momentum. A bullish signal on a 15-minute chart may occur within a larger bearish trend on the 4-hour chart. Understanding momentum context from higher timeframes helps you assess whether you are trading with or against the larger flow.
When multiple timeframes align in the same direction, the probability of a successful trade increases. When timeframes conflict, the situation is more uncertain and requires additional caution.
HOW MTF ANALYSIS WORKS
The indicator calculates the full QMF oscillator independently on four configurable timeframes. By default, these are set to 5-minute, 15-minute, 60-minute (1 hour), and 240-minute (4 hour), but you can configure them to any timeframes that suit your trading style.
For each timeframe, the system determines the current momentum bias:
OB - Overbought: QMF above 70, indicating extended bullish momentum that may reverse
B+ - Strong Bullish: QMF above 55 and above its signal line, indicating solid bullish momentum
B - Bullish: QMF above its signal line, indicating mild bullish momentum
N - Neutral: QMF near 50 with no clear direction
S - Bearish: QMF below its signal line, indicating mild bearish momentum
S+ - Strong Bearish: QMF below 45 and below its signal line, indicating solid bearish momentum
OS - Oversold: QMF below 30, indicating extended bearish momentum that may reverse
ALIGNMENT SCORING
The dashboard displays an alignment score showing how many of the four timeframes agree with each directional bias. This appears as a fraction like 3/4 or 2/4.
4/4 Bullish: All four timeframes show bullish readings - maximum bullish alignment
3/4 Bullish: Three timeframes bullish, one diverging - strong bullish alignment
2/4: Split between bullish and bearish - no clear alignment, use caution
3/4 Bearish: Three timeframes bearish, one diverging - strong bearish alignment
4/4 Bearish: All four timeframes show bearish readings - maximum bearish alignment
Higher alignment scores indicate more reliable momentum context. Trading with 3/4 or 4/4 alignment in your favor provides better odds than trading against alignment or during mixed conditions.
NON-REPAINTING MTF DATA
The multi-timeframe data uses proper request.security settings with lookahead disabled and gaps handled correctly. This ensures the MTF readings you see in backtesting match what you would see in real-time trading, with no future data leakage that could create misleading results.
LIVE MOMENTUM SCORING: REAL-TIME MARKET ASSESSMENT
The eighth major component is the Live Momentum Scoring system, which provides continuous real-time feedback on current market conditions.
WHAT IS LIVE MOMENTUM SCORING
Unlike signals which only appear when specific patterns complete, live momentum scores update every bar to show the current balance between bullish and bearish factors. This answers the question: Right now, how do the bullish factors compare to the bearish factors?
The system evaluates six categories for each direction and adds up points:
ZONE POSITION (0-25 points)
Rewards positioning in favorable oscillator zones. Deep oversold positioning adds points to the bullish score. Deep overbought positioning adds points to the bearish score. Extreme zones receive maximum points, moderate zones receive partial points, neutral zones receive zero.
DIVERGENCE (0-20 points)
Rewards active or forming divergence patterns. Confirmed divergence receives full points. Forming (checking) divergence receives partial credit. No divergence receives zero points.
TREND ALIGNMENT (0-20 points)
Rewards proper EMA stacking and trend MA positioning. Full bullish EMA stack (fast above medium above slow above trend MA) receives maximum bullish points. Partial alignment receives partial points.
MOMENTUM DIRECTION (0-15 points)
Rewards current momentum direction and acceleration. Accelerating momentum in the favorable direction receives maximum points. Simple directional momentum receives moderate points. Histogram turning (early reversal signs) receives partial points.
RIBBON STATE (0-10 points)
Rewards proper ribbon alignment and expansion. Aligned and expanding ribbons receive maximum points. Aligned but contracting ribbons receive moderate points. Mixed ribbons receive zero points.
MULTI-TIMEFRAME (0-10 points)
Rewards higher timeframe alignment. 4/4 alignment receives maximum points, scaling down as alignment decreases.
READING THE LIVE SCORES
The dashboard displays current scores for both directions:
BULL: Shows bullish score as percentage (0-100) and letter grade (A through D)
BEAR: Shows bearish score as percentage (0-100) and letter grade (A through D)
BIAS: Shows which direction currently dominates (BULL, BEAR, or NEUTRAL if close)
Grade thresholds:
A Grade: 70% or higher - Strong momentum factors aligned
B Grade: 50-69% - Moderate momentum factors present
C Grade: 30-49% - Some momentum factors but incomplete
D Grade: Below 30% - Weak or missing momentum factors
The dominant bias shows which direction currently has stronger factors. When one side leads by more than 10 points, it shows that direction. Otherwise, it shows NEUTRAL indicating balanced or mixed conditions.
WHY LIVE SCORING MATTERS
Live scores help you understand current market conditions even when no signal has fired. You can see momentum building or fading in real-time. A rising bullish score suggests conditions are improving for potential long opportunities. A rising bearish score suggests conditions are deteriorating.
This continuous feedback helps with:
- Anticipating potential signals before they fire
- Assessing whether to act on signals that do fire
- Understanding why a signal did or did not appear
- Monitoring open positions for changing conditions
THE DASHBOARD: YOUR ANALYSIS CONTROL CENTER
The dashboard provides a comprehensive real-time summary of all indicator components in one organized table. It displays on the price chart using force overlay so it remains visible regardless of which pane you are focused on.
DASHBOARD LAYOUT
The dashboard can be configured in three detail levels:
COMPACT MODE
Shows only essential information: QMF value, zone status, S/R status, and volume. Uses minimal screen space for traders who want the indicator to remain unobtrusive.
STANDARD MODE
Shows balanced detail including QMF values, zone status, last signal information, grade statistics, divergence status, S/R and volume status, live momentum scores, and MTF panel. Suitable for most traders.
FULL MODE
Shows maximum detail including everything in Standard mode plus EMA structure, ribbon state, volatility regime, signal statistics breakdown, and trendline counts. For traders who want complete information access.
DASHBOARD ROWS EXPLAINED
Row 1 - HEADER
Shows indicator name for identification.
Row 2 - QMF VALUES
Displays three values:
- QMF with directional arrow showing current oscillator value and whether it is rising, falling, or unchanged
- SIG showing the signal line value
- Histogram value with plus or minus sign showing the difference between QMF and signal line
Row 3 - PROGRESS BAR
Visual representation of oscillator position from 0 to 100 using text characters. Provides quick visual reference without needing to look at the oscillator pane.
Row 4 - ZONE STATUS
Text classification of current zone with color coding:
- EXTREME OB (red): Oscillator at or above extreme overbought level
- OVERBOUGHT (light red): Oscillator in overbought zone
- BULLISH (light green): Oscillator above 55 but below overbought
- NEUTRAL (gray): Oscillator between 45 and 55
- BEARISH (light red): Oscillator below 45 but above oversold
- OVERSOLD (light blue): Oscillator in oversold zone
- EXTREME OS (blue): Oscillator at or below extreme oversold level
Row 5 - LAST SIGNAL (Standard and Full mode)
Shows information about the most recent signal:
- Direction and grade (LONG A, SHORT B, etc.)
- Bars ago since signal fired
- Entry price when signal fired
- Current profit/loss from that price level
This helps track performance of recent signals and manage any open positions based on them.
Row 6 - GRADE STATISTICS (Standard and Full mode)
Running count of signals generated:
- A: Count of Grade A signals
- B: Count of Grade B signals
- C: Count of Grade C signals
- T: Total signal count
This provides perspective on signal frequency and grade distribution over the visible chart period.
Row 7 - DIVERGENCE STATUS (Standard and Full mode)
Current state of divergence detection:
- CHECKING BULL: Bullish divergence pattern forming, not yet confirmed
- CHECKING BEAR: Bearish divergence pattern forming, not yet confirmed
- BULL CONFIRMED: Bullish divergence validated
- BEAR CONFIRMED: Bearish divergence validated
- NONE: No divergence currently active
Row 8 - S/R AND VOLUME
Two pieces of information:
- S/R status: Shows R BROKEN (resistance broken upward), S BROKEN (support broken downward), AT RES (testing resistance), AT SUP (testing support), or CLEAR (between levels)
- Volume status: Shows HIGH (volume 1.5x or more above average), MID (volume near average), or LOW (volume below average)
Row 9 - LIVE MOMENTUM (Standard and Full mode)
Real-time momentum scoring:
- BULL: Bullish percentage and letter grade
- BEAR: Bearish percentage and letter grade
- Dominant bias indicator
Row 10-11 - MTF PANEL (when enabled, Standard and Full mode)
Multi-timeframe status:
- Top row shows the four timeframe labels
- Bottom row shows the status code for each timeframe (OB, B+, B, N, S, S+, OS)
- Final cell shows alignment score as X/4
FULL MODE ADDITIONAL ROWS
Structure row: Shows EMA stack status (BULL STACK, BEAR STACK, or relationship between fast and slow) and trend MA position (ABOVE MA or BELOW MA)
Stats row: Shows count of long signals, short signals, and active trendlines
Ribbon row: Shows ribbon state (BULL, BEAR, NEUT), expansion status (EXP or CON), and volatility regime (H-VOL for high volatility, L-VOL for low volatility, N-VOL for normal)
DASHBOARD POSITIONING AND SIZING
Position options: Top Left, Top Center, Top Right, Middle Left, Middle Right, Bottom Left, Bottom Center, Bottom Right
Size options: Tiny (minimal space), Small (balanced), Normal (maximum readability)
Choose a position that does not obscure important price action on your chart and a size that balances readability with space efficiency.
HOW SIGNALS EMERGE FROM CONFLUENCE
After understanding all the individual components, it becomes clear how signals are generated. Signals in QMF are not arbitrary triggers based on single conditions. They emerge when multiple independent factors align to create confluence.
THE PATTERN-BASED APPROACH
The signal system uses a hierarchical pattern-based approach. Rather than calculating a score from random factors and labeling it, the system actively hunts for specific predefined pattern combinations.
The system first checks for Grade A patterns. If none are found, it checks for Grade B patterns. If none are found, it checks for Grade C patterns. Each grade represents specific combinations of factors that must be present together.
GRADE A REQUIREMENTS
Grade A patterns require multiple strong factors aligned. Examples of Grade A pattern combinations:
Pattern A1 - Perfect Storm Reversal:
- Extreme zone positioning (deeply oversold or overbought)
- Confirmed regular divergence
- Structural break (resistance broken or support broken or trendline broken)
- Strong volume conviction (1.3x or higher)
- High MTF alignment (3 or more timeframes agreeing)
Pattern A2 - Breakout Conviction:
- Resistance or support broken
- Accelerating momentum in the breakout direction
- Full EMA stack aligned
- Ribbon aligned and expanding
- Strong volume conviction (1.4x or higher)
- Good MTF alignment (2 or more timeframes)
Pattern A3 - Zone Reversal Multi-Confirmation:
- Extreme or standard zone positioning
- Regular or hidden divergence confirmed
- Active bounce from zone
- EMA crossover or MA break in reversal direction
- Good MTF alignment (2 or more timeframes)
- Volume conviction present (1.2x or higher)
All factors in the pattern must be present simultaneously. Missing any single factor disqualifies the Grade A pattern.
GRADE B REQUIREMENTS
Grade B patterns require fewer but still meaningful confirmations. These patterns fire only when no Grade A pattern is detected:
Pattern B1 - Zone with Confirmation:
- Oversold or overbought zone positioning
- Momentum in reversal direction
- Hidden divergence, EMA crossover, or trendline break present
- Minimum MTF alignment met
Pattern B2 - Divergence with Structure:
- Regular or hidden divergence confirmed
- Structural break (S/R or trendline or MA)
- Momentum confirming direction
- Volume at least average
Pattern B3 - Clean Trend Continuation:
- Above or below trend MA
- Ribbon aligned in direction
- Oscillator crossed signal line
- EMA stack complete
GRADE C REQUIREMENTS
Grade C patterns require basic confirmations. These patterns fire only when no Grade A or Grade B pattern is detected:
Pattern C1 - Early Zone Entry:
- Zone positioning or approaching zone
- Momentum in expected direction
- Oscillator or EMA crossover present
Pattern C2 - Momentum Shift:
- Histogram turning in expected direction
- Oscillator crossover confirmed
- Oscillator on expected side of midline
SIGNAL QUALITY CONTROLS
Beyond pattern detection, several quality controls must be satisfied:
COOLDOWN
A minimum number of bars must pass between any two signals. This prevents signal clustering during volatile conditions and ensures each signal represents a distinct opportunity.
DIRECTION ALTERNATION
When enabled, signals must alternate between LONG and SHORT. After a LONG signal, only SHORT signals can fire until direction changes. This prevents multiple consecutive signals in the same direction.
PULLBACK REQUIREMENT
After a signal fires, the oscillator must retrace a minimum percentage before another same-direction signal can fire. This ensures re-entry signals occur after meaningful pullbacks rather than immediately after the first signal.
VOLUME CONFIRMATION (Optional)
When enabled, volume must meet minimum threshold relative to average. This filters out signals during low-volume periods when moves may lack follow-through.
BAR CONFIRMATION
All signals require barstate.isconfirmed, meaning they only fire after the bar closes. This prevents signals from appearing and disappearing during live bar formation, ensuring backtest results match live behavior.
A comprehensive example that combines signal generation logic, grading system, with all elements clearly annotated for easy understanding.
SETTINGS REFERENCE
This section provides a reference for the main configurable settings organized by category.
QUANTUM ENGINE SETTINGS
Sensitivity (5-50): Primary lookback period for momentum calculations. Lower values respond faster but may include more noise. Higher values smooth the oscillator but increase lag. Default 14 balances responsiveness with stability.
Smoothing (1-10): Exponential smoothing applied to final QMF value. Higher values reduce noise, lower values preserve detail. Default 3 provides good noise reduction.
Adaptive Mode: When enabled, automatically adjusts sensitivity based on volatility regime. Increases sensitivity during high volatility, decreases during low volatility.
Dimension Toggles: Enable or disable each of the four dimensions (Velocity, Volume, Volatility, Session) individually. Useful for customizing the oscillator for specific instruments or conditions.
Dimension Weights: Adjust relative contribution of each dimension. Weights are normalized so they do not need to sum to 1.0. Higher weight means that dimension has more influence on the final value.
Signal Length: EMA period for the signal line. Lower values make signal line more responsive, higher values make it smoother.
DISPLAY SETTINGS
Display Mode: Choose between Energy Candles, QMF Line, Impulse Bars, or Heikin Flow visualization.
Candle Glow: Adds luminous glow effect around energy candles based on momentum strength. Visually striking but can impact performance on slower systems.
Glow Layers: Number of glow layers when candle glow is enabled. More layers create smoother gradient but use more resources.
VISUAL SETTINGS
Theme: Choose between Tokyo Night (dark blue with vibrant accents), Dracula (purple-grey with high contrast), or Nord (muted arctic tones). Each theme is designed for extended trading sessions.
Glow Intensity: Controls transparency of glow effects. Lower values create more visible glows, higher values more subtle.
Enable Glow Effects: Master toggle for all glow effects around candles and levels.
REVERSAL CLOUD SETTINGS
Enable Reversal Clouds: Toggle cloud display on or off.
Cloud Style: Choose calculation method (Dynamic Bollinger, Golden Ratio, Adaptive Halo, Volatility Squeeze, Ichimoku RSI).
Cloud Transparency: Higher values make clouds more transparent, lower values more visible.
Cloud Width: Multiplier for cloud width. Higher values create wider reversal zones.
FLOW RIBBON SETTINGS
Enable Ribbons: Toggle ribbon display.
Fast/Medium/Slow Ribbon: Period for each ribbon EMA. Faster periods respond quicker, slower periods show longer-term trend.
DIVERGENCE SETTINGS
Enable Divergence: Toggle divergence detection.
Pivot Sensitivity: Bars required on each side to confirm pivot point. Higher values detect more significant pivots but may miss shorter-term divergences.
Confirmation Bars: Bars to wait after pivot detection before confirming divergence.
Min Strength Pct: Minimum divergence strength percentage to display. Higher values filter out weaker divergences.
Show Lines: Draw connecting lines between divergence pivots.
Min/Max Distance: Range of bars between pivots for valid divergence.
SIGNAL SYSTEM SETTINGS
Enable Signals: Toggle signal generation.
Show Signals: Filter by grade (A Only, A and B, All Grades).
Cooldown Bars: Minimum bars between signals.
Pullback Required Pct: Percentage pullback needed before same-direction signal.
Require Direction Alternation: Force signals to alternate LONG and SHORT.
Fast/Slow EMA: Periods for EMA crossover analysis.
Trend MA: Period for trend-defining moving average.
Min MTF Alignment: Minimum timeframes that must align for higher grades.
Require Volume Confirmation: Make volume threshold mandatory for signals.
Min Volume Ratio: Minimum volume relative to average when required.
TRENDLINE SETTINGS
Enable Trendlines: Toggle automated trendline detection.
Pivot Left/Right: Bars for pivot detection.
Extension Bars: How far to extend lines into future.
Min Touch Points: Minimum pivots to validate line.
Enable Strength Filter: Filter by calculated strength.
Minimum Strength: Threshold for strength filter.
Show Trendline Zones: Display shaded zones around lines.
Zone Width StdDev: Standard deviation multiplier for zone width.
Line Style: Solid, Dashed, or Dotted.
Line Width: Thickness in pixels.
Show Touch Points: Display circle markers at pivots.
Show Strength Labels: Display strength percentage at line end.
SUPPORT RESISTANCE SETTINGS
Enable S/R: Toggle dynamic S/R display.
Pivot Lookback: Period for detecting S/R pivots.
DASHBOARD SETTINGS
Enable Dashboard: Toggle dashboard display.
Position: Screen position (8 options).
Size: Tiny, Small, or Normal.
Style: Compact, Standard, or Full detail level.
MTF Panel: Include or exclude multi-timeframe panel.
MTF 1-4: Timeframe selections for MTF analysis.
LEVEL SETTINGS
Overbought/Oversold: Standard zone thresholds.
Extreme OB/OS: Extreme zone thresholds.
PRACTICAL EXAMPLE: READING THE COMPLETE PICTURE
This example walks through analyzing a chart using all the indicator components together.
SCENARIO: You are analyzing a 15-minute chart looking for trading opportunities.
STEP 1: ASSESS OSCILLATOR ZONE
You look at the QMF oscillator and see it reading 24, which is in the oversold zone. The dashboard confirms this showing OVERSOLD in the zone status. The progress bar shows the oscillator is in the lower portion of its range.
Initial assessment: The market has experienced significant selling pressure and is in territory where bullish reversals have elevated probability.
STEP 2: CHECK STRUCTURE
You look at the dynamic S/R levels. The oscillator recently touched its support level at 22 and bounced. You see an S with checkmark marker indicating support held. The dashboard shows AT SUP status.
Assessment update: The oscillator found support at a level that has held before. This adds to the bullish case.
STEP 3: EXAMINE TRENDLINES
You notice a resistance trendline connecting recent oscillator highs that has been declining. The oscillator is currently approaching this trendline from below. No break has occurred yet.
Assessment update: There is overhead resistance that will need to be cleared. A break above would be significant.
STEP 4: CHECK DIVERGENCE
The dashboard shows BULL CONFIRMED in the divergence status. Looking at the oscillator, you see a BULL DIV label with a dotted line connecting two pivot lows. The oscillator made a higher low while price made a lower low.
Assessment update: Confirmed bullish divergence suggests selling momentum is weakening despite price continuing lower. This is a meaningful signal of potential reversal.
STEP 5: EVALUATE RIBBONS
The ribbons are currently mixed with fast below medium but both above slow. Ribbon fill is gray indicating transitioning state. However, you notice the fast ribbon is turning upward and approaching the medium ribbon from below.
Assessment update: Ribbons are not yet aligned bullish, but appear to be transitioning. A bullish crossover may be approaching.
STEP 6: CHECK MTF ALIGNMENT
The dashboard MTF panel shows: 5m is B+, 15m is B, 1H is N, 4H is S. The alignment shows 2/4 bullish.
Assessment update: Lower timeframes support bullish bias, but higher timeframes are neutral or bearish. This is mixed alignment, suggesting caution. Any bullish move may face resistance from higher timeframe sellers.
STEP 7: REVIEW LIVE MOMENTUM SCORES
Dashboard shows BULL at 52% Grade B, BEAR at 28% Grade D. Dominant bias shows BULL.
Assessment update: Bullish factors currently outweigh bearish factors. The score suggests moderate bullish conditions, not yet strong.
STEP 8: SYNTHESIS
Putting it together:
- Oversold zone positioning (bullish factor)
- Support held (bullish factor)
- Bullish divergence confirmed (strong bullish factor)
- Ribbons transitioning but not yet aligned (neutral)
- MTF alignment mixed at 2/4 (caution factor)
- Live score favors bullish moderately (supporting factor)
- Resistance trendline overhead (risk factor)
Conclusion: Conditions favor a bullish reversal but with caution warranted due to mixed MTF alignment and overhead resistance. This would not qualify for a Grade A signal due to insufficient MTF alignment. If a signal fires, it would likely be Grade B.
STEP 9: SIGNAL FIRES
Several bars later, the oscillator crosses above its signal line while still in oversold territory. The EMA fast crosses above EMA slow. A LONG B signal appears at 85% confluence.
The signal represents: Oversold positioning plus confirmed divergence plus momentum crossover, meeting Grade B pattern requirements.
STEP 10: MONITORING
After entry, you monitor the dashboard for changing conditions. Live momentum scores continue rising. The resistance trendline breaks (TL up arrow marker appears). Ribbons align bullish. MTF alignment improves to 3/4 as the 1H turns bullish.
The improving conditions confirm the trade thesis. You hold the position as conditions strengthen.
ALERTS AVAILABLE
28 alert conditions are available covering all major events. To set up alerts, click the alert icon in TradingView, select this indicator, and choose the desired condition.
SIGNAL ALERTS
- A-Grade LONG Signal: Highest probability bullish entry
- A-Grade SHORT Signal : Highest probability bearish entry
- B-Grade LONG Signal: Solid bullish entry
- B-Grade SHORT Signal: Solid bearish entry
- Any LONG Signal: Any bullish signal regardless of grade
- Any SHORT Signal: Any bearish signal regardless of grade
DIVERGENCE ALERTS
- Regular Bullish Divergence: Classic bullish reversal pattern
- Regular Bearish Divergence: Classic bearish reversal pattern
- Hidden Bullish Divergence: Bullish continuation pattern
- Hidden Bearish Divergence: Bearish continuation pattern
- Any Bullish Divergence: Either regular or hidden bullish
- Any Bearish Divergence: Either regular or hidden bearish
STRUCTURE ALERTS
- Trendline Break Up : Resistance trendline broken
- Trendline Break Down: Support trendline broken
- Resistance Broken: S/R resistance level broken
- Support Broken: S/R support level broken
CROSSOVER ALERTS
- EMA Cross Up : Fast EMA crossed above slow EMA
- EMA Cross Down : Fast EMA crossed below slow EMA
- Trend MA Break Up: Oscillator crossed above trend MA
- Trend MA Break Down: Oscillator crossed below trend MA
ZONE ALERTS
- Entered Overbought Zone: Oscillator entered overbought
- Entered Oversold Zone: Oscillator entered oversold
- Entered Extreme Overbought: Oscillator reached extreme overbought
- Entered Extreme Oversold: Oscillator reached extreme oversold
RIBBON ALERTS
- Ribbon Cross Up: Fast ribbon crossed above slow ribbon
- Ribbon Cross Down: Fast ribbon crossed below slow ribbon
BOUNCE ALERTS
- Bounce From Oversold: Active reversal from oversold zone
- Bounce From Overbought : Active reversal from overbought zone
NON-REPAINTING Structure
All visual elements and signals in this indicator are non-repainting:
- Signals use barstate.isconfirmed to fire only after bar close
- Divergence confirmation waits for pivot validation
- Trendline breaks confirm after bar close
- S/R breaks confirm after bar close
- MTF data uses lookahead off setting
- No future data is used in any calculation
What you see in backtesting accurately represents what would have appeared in real-time trading.
RISK DISCLAIMER
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading advice.
Trading financial instruments involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. The analysis provided by this indicator should not be relied upon as the sole basis for any trading decision.
Before trading:
- Understand you may lose some or all of your investment
- Never trade with money you cannot afford to lose
- Conduct your own research and due diligence
- Consider consulting with a qualified financial advisor
- Practice with paper trading before risking real capital
- Implement proper risk management with recommended maximum 1-2% risk per trade
By using this indicator, you acknowledge that you have read and understood this disclaimer and accept full responsibility for your trading decisions.
PowerWave Oscillator Suite [BOSWaves]PowerWave Oscillator Suite - Multi-Dimensional Momentum & Trend Oscillator with Adaptive Divergence Insight
Overview
PowerWave Oscillator Suite is a cutting-edge analytical toolkit designed to provide traders with a sophisticated understanding of momentum, trend strength, and divergence behavior in financial markets. Unlike conventional oscillators that rely solely on price-based calculations, PowerWave combines adaptive, multi-dimensional computation engines with advanced visualization tools and divergence detection systems. The suite offers a unique blend of trend-following, mean-reversion, and contrarian trading insights, allowing users to analyze markets from multiple angles simultaneously. Each module within the suite has been designed to offer precision, clarity, and adaptability, ensuring that traders of all levels - from novice to professional - can extract actionable intelligence without unnecessary chart clutter or signal ambiguity.
PowerWave Oscillator Suite focuses on three primary trading paradigms: momentum measurement, volume-based filtering, and smoothed trend oscillation. These paradigms are accessible via three core modules - Aroon Oscillator, Adaptive Volume Filter, and HyperSmooth Oscillator - each equipped with advanced smoothing, dynamic source selection, reduced-lag computation, and divergence detection, offering a comprehensive approach to market analysis. By leveraging the full capabilities of this toolkit, traders can identify market turning points, confirm trend strength, detect hidden divergences, and refine entries and exits, all within a single integrated framework.
Configuration Panel and Customization Options
At the heart of PowerWave is a robust configuration panel that allows users to tailor the suite to their individual trading preferences and market conditions. The first level of customization is the Module Selection, allowing users to toggle between the Aroon Oscillator, Adaptive Volume Filter, or HyperSmooth Oscillator. Each module is designed with a distinct analytical purpose:
Aroon Oscillator : Measures trend strength and provides early signals for trend reversals or continuation.
Adaptive Volume Filter : Uses volume-based filtering to highlight momentum shifts, smoothing out noise from price fluctuations.
HyperSmooth Oscillator : Delivers finely smoothed oscillations, designed to capture micro-trend shifts and acceleration patterns.
Users can enhance the responsiveness and filtering behavior of each module via the Enhancement Level setting, a numeric input that applies a series of multi-stage exponential smoothing layers, ensuring signals are robust against market noise without introducing excessive lag. Additionally, the Source Type option allows traders to determine the price input methodology - ranging from adaptive combinations of open, high, low, and close values to more traditional sources - granting flexibility to align the indicator with preferred strategies or asset characteristics.
Engineered Visual Intelligence and Module-Specific Color Systems
PowerWave employs purpose-built, module-specific color systems that are tightly integrated with each oscillator’s underlying computation model. Rather than treating color as a cosmetic layer, the suite uses color as an informational channel, encoding state, momentum bias, and structural context directly into the visual output.
Each module operates with a dedicated color logic aligned to its analytical role:
The Aroon Oscillator uses polarity-driven gradients to express time-based trend dominance and directional strength.
The Adaptive Volume Filter applies contrasting color states to distinguish expanding versus contracting volume pressure.
The HyperSmooth Oscillator utilizes a dynamic HSV-based color spectrum that continuously maps momentum acceleration and deceleration into the oscillator line itself.
These color systems are reinforced through coordinated visual elements, including bar coloring, background state highlighting, histogram fills, and cross-condition shading. Users can further tune visual intensity and emphasis through enhanced mode and opacity controls, allowing the same engineered color logic to be amplified or subdued depending on chart density and personal workflow.
By designing color behavior as an extension of the calculation engine - rather than an arbitrary styling choice - PowerWave ensures that visual cues remain consistent, data-driven, and immediately interpretable across assets, timeframes, and market regimes.
Dynamic Source and Zero-Lag Computation
A defining characteristic of PowerWave Oscillator Suite is its Dynamic Source Calculation engine, which adjusts the input price series according to the trader’s chosen source type and enhancement level. This system ensures that signals are computed from a refined, noise-filtered base, enhancing reliability across asset classes and timeframes. Each stage of the multi-level smoothing hierarchy incrementally reduces erratic price fluctuations while preserving meaningful structural movement, allowing traders to differentiate between minor price noise and genuine momentum shifts.
Complementing this is the Adaptive Reduced-Lag Filter, a highly specialized algorithm that minimizes lag inherent in traditional moving averages or oscillators. This filter uses a gain-optimized EMA structure that continuously self-adjusts based on recent price dynamics, providing traders with fast yet reliable signals. By incorporating zero-lag calculations, PowerWave ensures that trend reversals and momentum inflections are detected in near real-time, allowing for earlier entries, faster confirmations, and more accurate exits. The reduced-lag filter also dynamically adjusts its internal gain coefficients, minimizing error while accounting for varying market volatility.
Aroon Oscillator Module
The Aroon Oscillator module within PowerWave is designed to quantify trend strength and identify emerging directional shifts. Utilizing a dual-period calculation, the module compares the relative timing of recent highs and lows, producing a normalized oscillation that reflects the market’s current momentum. Advanced zero-lag filtering ensures that even minor reversals or trend accelerations are captured with minimal delay, while additional smoothing can be applied via the configuration panel to match the trader’s preferred sensitivity.
The module includes trend and mean-reversion signal detection:
Trend Signals : Generated when the oscillator crosses the zero line, indicating potential trend continuation or initiation.
Reversion Signals : Triggered by crossovers between the oscillator and its internal signal line, highlighting potential pullbacks or temporary counter-trend behavior.
Visual overlays, including bar coloring and gradient plots, highlight bullish and bearish momentum zones, making it immediately apparent whether the market is in a trending or consolidating state. By combining trend and reversion insights with divergence detection, traders gain a multi-layered understanding of market structure, allowing for well-timed entries and exits.
Use Case:
Use the Aroon Oscillator when your primary objective is identifying real trend shifts early and staying aligned with structure. This model excels in markets transitioning from consolidation into expansion, where timing matters more than micro-entries. Zero-line crosses define directional regime changes, while signal-line crossovers expose mean-reversion pullbacks within a dominant trend. Divergences here are high-quality because Aroon measures time-based strength, not just price movement - making this ideal for swing traders and intraday trend followers who want confirmation before committing size.
Adaptive Volume Filter Module
The Adaptive Volume Filter takes a fundamentally different approach, analyzing volume-driven market behavior. By transforming price inputs with volume-weighted calculations and applying an adaptive multi-stage smoothing engine, this module emphasizes genuine buying and selling pressure while suppressing noise caused by small, indecisive bars.
Key features include:
Dynamic Thresholding : Traders can set threshold levels to define oversold or overbought regions based on relative volume patterns.
Multi-tiered Signal Generation : Local trend signals identify moderate momentum shifts, while oversold/overbought conditions trigger stronger trade opportunities.
Volume-Cycle Adaptation : The filter adapts to cyclical volume patterns, ensuring that signals remain valid during periods of high or low market participation.
This module is particularly effective for spotting institutional accumulation/distribution, validating trends, and detecting early inflection points where price action alone might be misleading.
Use Case:
Select the Adaptive Volume Filter when you want to validate price movement with participation, not guess momentum in a vacuum. This oscillator shines during breakouts, distribution phases, and deceptive price moves where volume tells the real story. Overbought and oversold zones highlight statistically stretched volume conditions, while the adaptive smoothing engine filters short-term noise caused by small, indecisive bars. This is the model you use to confirm whether a move is being supported or starved - making it lethal for spotting exhaustion, fake breakouts, and accumulation/distribution zones.
HyperSmooth Oscillator Module
The HyperSmooth Oscillator represents the most sophisticated module in the suite, combining adaptive smoothing, dual-cycle EMA differentiation, and volatility-normalized scaling. It calculates momentum by comparing fast and slow EMA cycles of a dynamically smoothed price series and then normalizes this difference using ATR-based volatility adjustments. This ensures that the oscillator is sensitive to micro-momentum changes while remaining robust against extreme volatility spikes.
Additional innovations in this module include:
Hyper-smoothing and acceleration detection : Captures micro-trend shifts and identifies momentum acceleration or deceleration, providing early insight into potential trend reversals.
Dynamic color mapping : Uses HSV-based gradient calculations to indicate the intensity and direction of momentum, enhancing immediate visual interpretation.
Threshold-based cross-validation : Ensures that only meaningful crossovers are flagged as buy or sell signals, reducing false positives in noisy markets.
Combined, these mechanisms give traders access to both subtle and strong market moves, allowing nuanced position sizing and timing strategies.
Use Case:
Use HyperSmooth when you need speed, sensitivity, and volatility-aware momentum detection. This model is built for fast markets, aggressive entries, and momentum continuation plays where standard oscillators lag. By normalizing momentum with ATR and dynamically adjusting signal thresholds, HyperSmooth filters weak crosses and only reacts when momentum actually matters. Color-shifted acceleration highlights when force is increasing or decaying, making this the go-to mode for scalpers and momentum traders hunting explosive continuation or sharp reversals with minimal delay.
Enhanced Divergence Detection System
PowerWave includes a robust divergence detection engine, capable of identifying regular and hidden bullish and bearish divergences across all modules. Divergences are detected by analyzing oscillator pivots against corresponding price highs and lows, ensuring that traders can spot structural weaknesses or strengths in trend continuation.
Key enhancements include:
Pivot-based analysis with lookback control : Allows customization of sensitivity to short-term vs. long-term divergences.
Priority system : Regular divergences are highlighted first, while hidden divergences are only displayed if no regular divergence is present, reducing chart clutter.
Visual representation : Divergences are drawn on both the oscillator and price chart using solid or dashed lines with opacity gradients, enabling clear interpretation of potential reversal zones.
This system equips traders to anticipate trend exhaustion points, early reversals, and high-probability pullbacks, a critical advantage in both trending and range-bound markets.
Visualization and Chart Interpretation
Every module in PowerWave is accompanied by enhanced visual aids, including histogram fills, line overlays, bar coloring, and shape-based trade markers. These features provide instant clarity on:
Trend direction : Bullish vs. bearish zones are highlighted via gradient fills and bar color overlays.
Signal strength : Minor, regular, and strong trade setups are distinguished using shape markers (triangles, circles, diamonds).
Momentum confirmation : Histogram fills indicate whether the oscillator is accelerating or decelerating relative to its signal line.
By integrating these visualizations, PowerWave transforms complex calculations into immediately actionable chart insights, enabling both manual and automated strategies to be executed with confidence.
General Use Cases and Trading Applications
Trend-following : Combine oscillator zero-line crossovers with divergence confirmation for disciplined entries.
Counter-trend trading : Utilize hidden divergence signals to identify potential reversal points before visible trend exhaustion.
Volume-sensitive trades : Adaptive Volume Filter highlights accumulation/distribution phases, providing context for institutional participation.
Scalping and swing strategies : HyperSmooth Oscillator captures micro-momentum changes, ideal for both short-term scalping and multi-day swing trades.
The suite is designed for flexibility and adaptability, allowing traders to integrate multiple modules, fine-tune parameters, and create customized signals aligned with personal strategies or specific market conditions.
Final Notes
PowerWave Oscillator Suite is designed as an analytical decision-support system. It provides structured market insight based on historical price and volume behavior and does not constitute predictive or outcome-guaranteed functionality. Its core design philosophy emphasizes clarity, adaptability, and risk-aware decision-making. Every calculation, filter, and visual cue is intended to provide insight, not guarantees. Traders are encouraged to combine the suite’s outputs with proper risk management, contextual market awareness, and disciplined strategy execution.
Risk Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are responsible for their own analysis, risk management, and execution decisions.
Flux Momentum Oscillator[BullByte]Flux Momentum Oscillator is a professional-grade momentum analysis system built on an original methodology called Momentum Flux Bars (MFB). Unlike conventional oscillators that measure momentum over fixed time periods, this indicator constructs synthetic momentum bars based on actual price movement, creating a pure representation of directional pressure independent of time-based noise.
This is NOT a mashup or combination of existing indicators. The entire system is built from the ground up around a single cohesive concept: measuring momentum through price-triggered synthetic bars rather than time-triggered calculations.
CORE INNOVATION: MOMENTUM FLUX BARS (MFB)
Traditional momentum indicators calculate values at fixed time intervals, which means a slow, grinding move receives the same measurement weight as a fast, explosive move occurring over the same number of bars. This creates distortion in momentum readings.
Momentum Flux Bars solve this problem by forming only when price travels a volatility-adjusted distance. Each MFB represents genuine directional commitment from market participants.
Key Properties of Momentum Flux Bars:
- Form based on price movement, not time passage
- Automatically adjust their formation threshold based on current volatility
- Capture the velocity of price movement (how quickly each bar forms)
- Record volume participation during formation
- Create a noise-filtered view of true market momentum
The oscillator then analyzes the pattern, velocity, and characteristics of recent MFB formations to produce its readings.
WHY THIS APPROACH MATTERS FOR TRADERS
Time-Based Problem: A 14-period RSI on a choppy day produces the same calculation structure as on a trending day, even though market behavior differs completely. The indicator cannot distinguish between meaningful moves and noise.
Flux-Based Solution: When price chops sideways, fewer MFBs form because price fails to travel the required distance. When price trends strongly, MFBs form rapidly in sequence. The oscillator inherently adapts to actual market behavior.
Practical Benefits:
- Cleaner signals during trending conditions
- Automatic noise reduction during consolidation
- Earlier detection of momentum shifts through velocity analysis
- Reduced false signals in choppy markets
- No manual adjustment needed across different market conditions
COMPLETE FEATURE BREAKDOWN
FEATURE 1: AUTO-OPTIMIZATION ENGINE
The indicator includes an optional auto-optimization system that continuously evaluates different sensitivity parameters and selects the configuration producing the cleanest momentum measurement for current conditions.
How It Works:
- Tests multiple ATR multiplier values against recent price history
- Scores each configuration based on trend capture efficiency
- Automatically applies the optimal setting
- Re-evaluates periodically to adapt to changing conditions
Trader Benefit: Eliminates the guesswork of parameter tuning. The indicator finds its own optimal settings.
FEATURE 2: MARKET REGIME CLASSIFICATION
The system classifies current market conditions into four distinct regimes based on MFB formation patterns:
EXPLOSIVE: Rapid MFB formation with strong directional bias and high volume participation. Indicates powerful trending conditions with high momentum.
STEADY: Consistent MFB formation in a primary direction with normal velocity. Represents healthy, sustainable trends suitable for trend-following approaches.
CONSOLIDATING: Mixed direction MFB formation with decreasing velocity. Suggests range-bound conditions where breakout strategies may be appropriate.
DEAD: Minimal MFB formation activity. Indicates extremely low volatility or market indecision. Often precedes significant moves.
Trader Benefit: Instantly understand current market character and adjust strategy accordingly.
FEATURE 3: VELOCITY DIVERGENCE DETECTION
This advanced feature monitors the formation speed of Momentum Flux Bars and compares it against price direction.
Velocity Divergence Bearish: Price making higher highs but MFBs forming progressively slower. Suggests buying pressure is weakening despite higher prices.
Velocity Divergence Bullish: Price making lower lows but MFBs forming progressively slower. Suggests selling pressure is weakening despite lower prices.
Trader Benefit: Early warning system for potential reversals before they appear on price charts.
FEATURE 4: MOMENTUM EXHAUSTION DETECTION
The system identifies when a trending move may be running out of energy by analyzing the duration pattern of consecutive same-direction MFBs.
Exhaustion Pattern: When each successive MFB in a trend takes progressively longer to form, it indicates diminishing momentum even though direction remains unchanged.
States Displayed:
- BUILDING: Momentum is increasing or stable
- PEAK: Maximum momentum velocity reached
- EXHAUSTING: Progressive slowdown detected
Trader Benefit: Know when a trend is losing steam before price reverses.
FEATURE 5: HIGHER TIMEFRAME ALIGNMENT
The indicator checks whether higher timeframe MFB direction supports or conflicts with current timeframe momentum.
ALIGNED BULL: Both timeframes showing bullish MFB direction
ALIGNED BEAR: Both timeframes showing bearish MFB direction
DIVERGENT: Timeframes showing opposing directions
NEUTRAL: Higher timeframe direction unclear
Trader Benefit: Trade with higher timeframe support for higher probability setups.
FEATURE 6: CHOPPY MARKET DETECTION
A dedicated algorithm analyzes recent MFB patterns to determine if the market is in a choppy, directionless state.
Detection Factors:
- Frequency of direction changes in recent MFBs
- Lack of consecutive same-direction formations
- Weak directional bias in the MFB sequence
Trader Benefit: Avoid trend-following strategies when market conditions do not support them.
FEATURE 7: TREND STRENGTH MEASUREMENT
A percentage-based strength reading derived from MFB pattern analysis.
Flux Momentum Oscillator Chart Example
Chart Overview: Bitcoin 15-Minute Chart (Dec 21, 2025)
BTCUSD Market Snapshot
Price: $88,854.53 | Oscillator: 77.38 | Direction: BULLISH | Regime: EXPLOSIVE
1. EXPLOSIVE REGIME DETECTION (Current State - Right Side)
2. MOMENTUM EXHAUSTION ZONE (Mid-Chart)
3. CHOP/CONSOLIDATION PERIOD (Before Breakout)
4. VELOCITY DIVERGENCE (Around 21:00 the previous day)
5. BULLISH MOMENTUM SHIFT (Around 09:00)
6. FORMATION PROGRESS BAR (Bottom of Oscillator)
7. TREND STRENGTH INDICATOR (Bottom Bar)
8. EXTREME ZONES (Top and Bottom Boundaries)
Reading Interpretation:
- Above 70%: Strong trending conditions
- 40% to 70%: Moderate trend or developing move
- Below 40%: Weak trend or choppy conditions
Visual representation provided via the strength bar at the bottom of the indicator panel.
HOW TO READ THE OSCILLATOR PLOT
OSCILLATOR LINE (Main Line):
- Ranges from -100 to +100
- Above zero indicates bullish momentum
- Below zero indicates bearish momentum
- Color intensity reflects momentum direction and strength
- Glow effect (optional) enhances visibility of the main reading
SIGNAL LINE (Secondary Line):
- Smoothed version of the oscillator
- Crossovers indicate momentum shifts
- Purple/accent colored for visual distinction
HISTOGRAM BARS:
- Represent the difference between oscillator and signal line
- Increasing histogram in direction of oscillator confirms momentum
- Decreasing histogram warns of potential momentum shift
- Bright colors indicate increasing momentum
- Faded colors indicate decreasing momentum
ZONE INTERPRETATION:
+75 to +100 (Extreme Bullish Zone):
Very strong bullish momentum. Price has moved significantly and rapidly. Watch for exhaustion patterns. Not ideal for new long entries. Consider profit-taking on existing longs.
+50 to +75 (Strong Bullish Zone):
Healthy bullish momentum. Good conditions for trend-following long strategies. Pullbacks to signal line often provide continuation opportunities.
0 to +50 (Mild Bullish Zone):
Positive but moderate momentum. Trend may be developing or maturing. Watch for strength building or fading.
0 to -50 (Mild Bearish Zone):
Negative but moderate momentum. Downtrend may be developing or maturing. Watch for weakness building or recovering.
-50 to -75 (Strong Bearish Zone):
Healthy bearish momentum. Good conditions for trend-following short strategies. Rallies to signal line often provide continuation opportunities.
-75 to -100 (Extreme Bearish Zone):
Very strong bearish momentum. Price has moved significantly and rapidly to downside. Watch for exhaustion patterns. Not ideal for new short entries. Consider profit-taking on existing shorts.
HOW TO READ THE DASHBOARD
The dashboard provides comprehensive market analysis at a glance. Each row displays specific information:
OSCILLATOR ROW:
Shows current oscillator value with directional icon.
indicates reading above +50 (High)
indicates reading below -50 (Low)
DIRECTION ROW:
Current MFB direction.
BULLISH: Recent MFB formed upward
BEARISH: Recent MFB formed downward
NEUTRAL: No recent MFB or unclear
REGIME ROW:
Current market regime classification.
EXPLOSIVE / STEADY / CONSOLIDATING / DEAD
Color coded for quick recognition.
MARKET ROW:
Trend state assessment.
TRENDING UP: Confirmed uptrend in progress
TRENDING DN: Confirmed downtrend in progress
CHOPPY: No clear trend, high direction changes
MIXED: Partial trend characteristics
STRENGTH ROW:
Visual bar showing trend strength percentage.
More filled bars indicate stronger trend.
Color shifts from red (weak) to yellow (moderate) to green (strong).
VELOCITY ROW:
MFB formation speed status.
ACCELERATING: MFBs forming faster over time
STEADY: Consistent formation speed
DECELERATING: MFBs forming slower over time
MOMENTUM ROW:
Momentum development status.
BUILDING: Momentum increasing
PEAK: Maximum momentum reached
EXHAUSTING: Momentum declining despite same direction
HTF ALIGN ROW:
Higher timeframe alignment status.
BULL: HTF supports bullish bias
BEAR: HTF supports bearish bias
DIVERGENT: HTF opposes current direction
NEUTRAL: HTF unclear
FORMING ROW:
Progress toward next MFB formation.
Visual bar fills as price approaches formation threshold.
Helps anticipate when next MFB will complete.
Additional rows (when not in Compact Mode):
- Flux Size: Current MFB formation threshold value
- ATR Mult: Current optimized ATR multiplier (when auto-optimization enabled)
- Regime %: Numerical regime score
FORMATION PROGRESS INDICATOR
The horizontal line near the bottom of the indicator panel shows progress toward the next MFB formation.
Reading the Progress Line:
- Starts at baseline after each MFB completion
- Rises as price moves toward formation threshold
- Higher position indicates imminent MFB formation
- Color changes from neutral to accent to warning as formation approaches
Practical Use:
- Anticipate when new momentum data will become available
- Gauge intra-bar momentum development
- Understand why signals occur when they do
TREND STRENGTH BAR
The horizontal bar at the very bottom of the indicator displays trend strength visually.
Components:
- Gray background bar represents full scale (0-100%)
- Colored fill represents current strength reading
- Label displays exact percentage value
Color Interpretation:
- Green fill: Strong trend (above 70%)
- Yellow fill: Moderate trend (40-70%)
- Red fill: Weak trend (below 40%)
RECOMMENDED USAGE GUIDELINES
TIMEFRAME RECOMMENDATIONS:
Scalping (1m to 5m):
- Use lower Flux Period (8-10) for faster response
- Focus on oscillator crossovers and histogram momentum
- Regime should be STEADY or EXPLOSIVE for best results
Day Trading (5m to 30m):
- Default settings work well
- Use HTF alignment with 1H or 4H for confirmation
- Avoid trading when regime shows DEAD
Swing Trading (1H to 4H):
- Consider higher Flux Period (18-21) for smoother signals
- Regime classification becomes very valuable
- Velocity divergence provides excellent early warnings
Position Trading (Daily and above):
- Higher Flux Period (21-30) recommended
- Focus on regime changes and exhaustion patterns
- HTF alignment less relevant, oscillator zones more important
ASSET CLASS NOTES:
Forex: Works well on major pairs. Consider slightly higher sensitivity on less volatile pairs.
Crypto: Higher volatility may require lower sensitivity multiplier. Regime detection particularly useful.
Stocks: Excellent for liquid stocks. Less effective on illiquid names due to gappy price action.
Indices: Very effective. Clean price action produces clean MFB patterns.
Commodities: Works well, especially on gold and oil. Adjust sensitivity for different volatility profiles.
SETTINGS OVERVIEW
MODE AND THEME:
- Trading Mode: Simple (clean), Pro (full data), Hybrid (balanced)
- Visual Theme: Dark, Light, Neon, Stealth
- Compact Dashboard: Reduces dashboard rows
FLUX ENGINE:
- Flux Calculation Method: Choose optimization approach
- Enable Auto-Optimization: Let indicator find optimal parameters
- Flux Period: Base volatility calculation period
- Sensitivity Multiplier: Adjust MFB formation threshold
- Optimization Lookback: Bars analyzed for optimization
- Optimization Frequency: How often to re-optimize
OSCILLATOR:
- Oscillator Smoothing: Main line smoothness
- Signal Line Length: Signal line responsiveness
- Momentum Depth: MFBs analyzed for oscillator
- Histogram Scale: Visual scaling of histogram
MARKET STATE:
- Chop Detection Window: MFBs analyzed for chop detection
- Chop Threshold: Sensitivity of chop classification
- Min Trend Confirmation: Consecutive bars for trend confirmation
ADVANCED ANALYSIS:
- Enable Regime Classification: Market regime detection
- Enable Velocity Divergence: Formation speed analysis
- Enable Exhaustion Detection: Trend exhaustion warnings
- Enable HTF Alignment: Higher timeframe checking
- Higher Timeframe: Which timeframe to check
VISUALS:
- Glow Effect: Visual enhancement on oscillator
- Show Zone Fills: Background zone coloring
- Show Formation Progress: Progress indicator display
- Show Trend Strength Bar: Bottom strength bar
- Show Dashboard: Information panel display
- Dashboard Position: Corner placement
SIGNAL INTERPRETATION GUIDELINES
BULLISH MOMENTUM SHIFT:
Oscillator crosses above signal line while not in extreme bearish territory.
Suggests emerging bullish momentum.
Stronger when occurring near zero line or in mild bearish zone.
BEARISH MOMENTUM SHIFT:
Oscillator crosses below signal line while not in extreme bullish territory.
Suggests emerging bearish momentum.
Stronger when occurring near zero line or in mild bullish zone.
STRONG TREND CONDITIONS:
Oscillator beyond +/-55, in direction of signal line, trend strength above 55%, not choppy.
Indicates conditions favorable for trend-following approaches.
EXTREME ZONES:
Oscillator beyond +/-75.
Diamond markers appear.
Exercise caution with new positions in trend direction.
Watch for exhaustion and divergence signals.
ALERT SYSTEM
The indicator includes comprehensive alerts for automated monitoring:
Momentum Alerts:
- Bullish Momentum Shift
- Bearish Momentum Shift
- Strong Uptrend Initiated
- Strong Downtrend Initiated
Zone Alerts:
- Extreme Bullish Zone Reached
- Extreme Bearish Zone Reached
Market State Alerts:
- Choppy Conditions Detected
- Choppy Conditions Cleared
- Explosive Regime Entered
- Dead Regime Entered
Advanced Alerts:
- Velocity Divergence Detected
- Exhaustion Warning Triggered
- HTF Aligned Bullish
- HTF Aligned Bearish
- HTF Divergence Detected
MFB Alerts:
- Bullish MFB Formed
- Bearish MFB Formed
WHAT THIS INDICATOR IS NOT
This indicator is NOT:
- A buy/sell signal generator (it provides momentum context, not trade signals)
- A standalone trading system (combine with price action and other analysis)
- A guarantee of profitability (no indicator can guarantee results)
- A replacement for risk management (always use proper position sizing and stops)
- A mashup of existing indicators (this is original methodology)
ORIGINALITY STATEMENT
The Momentum Flux Bars concept was designed specifically to address limitations of time-based momentum calculations.
Every component of this system serves the central MFB methodology:
- The oscillator measures MFB directional weight
- The regime classifier interprets MFB patterns
- The velocity analysis tracks MFB formation speed
- The exhaustion detector monitors MFB duration progression
- The HTF alignment checks MFB direction across timeframes
This is a unified analytical framework, not a collection of separate indicators.
TECHNICAL NOTES
Non-Repainting Confirmation:
All signal generation uses confirmed bar data only. MFB formations occur on bar close. Historical signals will not change after they appear.
Performance Considerations:
Auto-optimization runs periodically, not every bar, to maintain performance.
MFB history is trimmed to prevent memory issues on extended sessions.
Reduce Max MFB History if experiencing performance issues.
Symbol and Timeframe Handling:
The indicator resets its MFB history when symbol or timeframe changes.
This ensures clean analysis without carryover from previous contexts.
DISCLAIMER
This indicator is provided for educational and informational purposes only. It is not financial advice and should not be considered as such.
Trading involves substantial risk of loss. Past performance of any trading methodology or indicator does not guarantee future results. The author makes no representations regarding the profitability or suitability of this indicator for any particular purpose.
Users are solely responsible for their own trading decisions. Always use proper risk management, including appropriate position sizing and stop-loss orders. Never risk more than you can afford to lose.
Before using this or any indicator in live trading, thoroughly test it on historical data and in a demo environment. Understand its behavior across different market conditions.
The author is not liable for any losses incurred through the use of this indicator.
Developed by BullByte
Version 1.0.0
SuperRSI: Enhanced MomentumSuperRSI is a next-generation momentum indicator designed to overcome the lag and noise found in the traditional Relative Strength Index (RSI). Unlike standard RSI which only looks at close prices, SuperRSI utilizes a unique "Titan Engine" logic that incorporates the full Price Range (Highs and Lows) to calculate momentum. This results in a smoother, more responsive oscillator that detects trend shifts earlier.
Key Features:
🚀 Range-Based Calculation: Factors in the expansion and contraction of price ranges, not just closing prices.
🎨 Dynamic Visuals: Beautiful gradient coloring that adapts to the trend (Bullish/Bearish) and visualizes Overbought/Oversold zones clearly.
⚡ Dual Signal System:
Slow Signal (Default): For reliable trend following.
Fast Signal (Optional): Can be enabled in settings for aggressive entries and scalping.
🔔 Comprehensive Alerts: Built-in alerts for RSI crossovers with Fast/Slow lines and Signal crossovers (Golden/Death Cross).
🛡️ Pine Script v6: Built on the latest version for maximum performance and stability.
How to Use:
Trend Confirmation: When the line is green and above 50, the trend is bullish. When red and below 50, the trend is bearish.
Overbought/Oversold: Look for reversals when the indicator exits the dotted zones (>80 or <20).
Signal Crossovers: Enable the "Fast Signal" in settings to trade the crossovers between the Fast and Slow signal lines (similar to MACD mechanics).
Settings:
Fully customizable colors and lengths.
Option to toggle the "Fast Signal" on or off (Hidden by default to keep the chart clean).
Mizan v7.8-S: Pure PSI ObserverDescription:
1. General Overview The Mizan v7.8-S is a specialized high-precision market observer designed to quantify the "Ontological Stability" of financial assets. Unlike traditional indicators that rely solely on price action, this tool projects market data onto a proprietary "PSI Scale" to measure the potential energy and structural integrity of a trend. It operates on the "Pure Justice" (Mizan) theoretical framework, distinguishing between constructive stability and chaotic degradation.
2. Key Features
Proprietary PSI Scoring: A unique algorithm that converts market momentum into a standardized stability score (0 - 310,000 Scale).
Stability Protocol Visualization: Automatically colors the trend line to indicate the current state of the asset (Green for Stable/Constructive, Red for Unstable/Chaotic).
Cyclic Time Markers: Includes deterministic time-cycle markers ("Pulse" and "Reset" points) to identify theoretical inflection points in the market rhythm.
Axiom Floor & Peak: Visual references for the theoretical limits of the analyzed asset.
3. How to Use
Trend Analysis: Observe the color of the PSI line. A transition from Red to Green indicates that the asset has crossed the critical threshold and entered a stable trend structure.
Cycle Timing: Use the geometric markers (Diamonds and Circles) to anticipate potential shifts in market rhythm or exhaustion points based on the Mizan temporal constants.
Risk Assessment: The distance of the PSI score from the "Axiom Peak" or "Axiom Floor" provides a perspective on the asset's current potential relative to its theoretical limits.
4. Invite-Only Access This script is a closed-source implementation of a proprietary algorithmic kernel ("Mizan Universal Kernel"). It contains protected logic and experimental constants derived from private research.
Access: Access to this indicator is restricted. To request access or learn more about the methodology, please contact me via private message on TradingView.
Note: This tool is intended for advanced cycle analysis and experimental observation.
QuantSignals: Integrated Geometric Momentum QualityIntegrated Geometric Momentum Quality is a momentum-quality oscillator designed to complement traditional momentum indicators, not replace them.
While most momentum tools focus on how much price has moved, IGMQ focuses on how efficiently price has moved. It evaluates whether momentum is supported by smooth, directional structure or distorted by noise and volatility.
IGMQ is path-aware rather than purely price-based.
It penalizes volatility that does not contribute to sustained progress, making it especially useful as a momentum filter in systematic or discretionary trading workflows.
IGMQ analyzes price behavior over a rolling window to determine:
Directional strength
Path efficiency
Structural consistency
The output is a normalized momentum quality score that increases when price movement is clean and persistent, and decreases when momentum becomes choppy or unstable.
How to Use It
This indicator works best as a confirmation and filtering tool, alongside indicators such as:
RSI
MACD
Rate of Change
Breakout or trend-following systems
Common applications:
Confirm whether momentum signals are supported by quality structure
Filter out trades during noisy or low-efficiency regimes
Rank symbols by momentum quality
Detect early degradation in trending conditions
Interpreting the Oscillator
Positive values → Upward momentum with structural quality
Negative values → Downward momentum with structural quality
Larger magnitude → Cleaner, more reliable momentum
Values near zero → Low-quality or indecisive movement
This helps distinguish between strong momentum and usable momentum.
Delta Divergence Alarm - XWiseTradeDetect hidden buying/selling pressure with real-time delta divergence alerts.
This indicator aggregates lower timeframe volume to calculate delta and triggers alerts when:
• Price makes a lower low/higher high but delta shows opposite pressure (hidden divergence)
Features:
• Supports ultra-low timeframes (1s, 15s, 1-15min)
• Visual labels on divergence candles
• Built-in alerts
• Debug mode for data issues
Perfect for spotting absorption, exhaustion, and potential reversals.
FullerOSOBSQZ v1.1.22FullerOSOBSQZ v1.1.x — OS/OB Levels + Squeeze Anchor + Slope Accel + Alerts
What this script does
Plots Oversold (OS) and Overbought (OB) price levels as horizontal segments (line breaks) that persist for a configurable number of bars.
Tracks two layers of OS/OB logic:
Base triggers (broader detection)
Refined triggers (stricter pattern match layered on top of Base)
Plots a Squeeze anchor level during squeeze “ON” runs and provides squeeze lifecycle alerts (start/release + bull/bear release).
Optionally plots OS/OB start markers (seed points) and slope-acceleration markers for momentum context.
Provides alertconditions for starts, active lines, price interactions, within-N-bar follow-through, squeeze lifecycle, and hold/confirm.
Core Concepts
Mutually inclusive Base + Refined
Refined logic is not a competing system. It is a stricter confirmation layer on top of the Base logic.
You can use Base levels as the “watch” context, and Refined levels as a higher-confidence confirmation (or display both).
Line segments (line breaks)
OS/OB levels are drawn as horizontal segments using line-break style plotting. Each segment represents a “reference level” that remains valid for a limited number of bars after it triggers.
If a new, more extreme OS/OB triggers while a prior one is active, the plot will step to the new level (by design).
How to read the plots
OS Levels (below price)
These are support reference levels. Common reads:
Touch : price trades into the OS line.
Reclaim : close crosses back above the OS line.
Bounce : price dips below OS intrabar but closes above it (same bar).
Hold/Confirm : close stays above OS for N consecutive bars.
OB Levels (above price)
These are resistance reference levels. Common reads:
Touch : price trades into the OB line.
Reject : price trades above/into OB but closes back below it.
Breakout : close crosses above OB.
Hold/Confirm : close stays below OB for N consecutive bars (bear confirmation) or use breakout/hold logic for bull continuation.
Squeeze Anchor
When squeeze is ON, the script anchors a reference line from the first ON bar and holds it for the duration of the continuous squeeze run.
On squeeze release (OFF), you can interpret direction by where price closes relative to the anchor.
Slope Acceleration Markers
These markers highlight momentum inflection behavior derived from the internal regression/slope logic.
If you see fewer markers than another script, it usually means the underlying trend-gate and/or slope parameters differ (not that the feature is “missing”).
Settings — What they do and how changing them affects signals
1) Base Triggers
Controls the Base OS/OB detection layer.
Changing Base thresholds generally affects:
Frequency : looser = more lines; stricter = fewer lines
Quality : stricter = fewer but cleaner levels
Responsiveness : shorter lookbacks = faster reacting, more noise; longer = slower, smoother
2) Base Lines
Controls the Base OS/OB plotted appearance and segmentation length.
Segment length (forward bars): longer = level remains visible/valid longer; shorter = faster turnover and fewer active segments.
Line width : purely visual emphasis (does not change the underlying detection).
3) Refined Triggers
Controls the stricter confirmation layer (Refined OS/OB).
Refined triggers typically reduce false positives but may occur later than Base.
Use Refined when you want: “Only alert me on the higher-confidence pattern.”
4) Refined Colors + Widths
Color and width controls for Refined levels.
Recommended usage:
Keep Base slightly lighter/less prominent.
Make Refined more prominent so confirmations stand out.
5) Trend Context
Trend SMA length (default 62)
Shorter SMA = more sensitive trend context (more “below trend” flips).
Longer SMA = slower trend context (fewer flips, more stability).
Trend mode affects how some context cues render (for example, whether certain momentum markers appear in “below-trend” context).
6) Squeeze
Squeeze ON indicates compression conditions. The script plots a held anchor line during the ON run.
Per-bar render vs static
Per-bar render updates opacity per bar while squeeze is ON (based on your selected strength model).
Static render keeps the anchor appearance constant through the run.
Squeeze opacity model selection
Compression ratio : based on 1 − (BB width / KC width). Higher = tighter squeeze.
Z-score style : normalizes the BB/KC ratio over a lookback and maps extremes to opacity.
Duration boost : increases opacity with consecutive ON bars up to a cap.
Changing squeeze settings affects:
How early/late squeeze turns ON/OFF
How aggressively “tightness” is visually emphasized
How frequently bull/bear release alerts fire
7) Markers
OS/OB Start markers
Shows the first bar where an OS/OB segment begins (Base and/or Refined).
Useful for “N bars after start” logic and for validating what bar started a segment.
Alerts (built-in alertconditions)
Start alerts
OS Start (Any) — Base OR Refined start.
OB Start (Any) — Base OR Refined start.
Active line alerts (true while a line is plotted)
OS Active (Any line)
OB Active (Any line)
Price interaction alerts
OS Touch (Any)
OS Reclaim (Any) — close crosses above OS line
OS Bounce (Any) — low below OS line and close above
OS Breakdown (Any) — close crosses below OS line
OB Touch (Any)
OB Reject (Any) — price probes above/into OB and closes below
OB Breakout (Any) — close crosses above OB line
OB Breakdown (Any)
Within N bars after start alerts
Uses the setting: Within N bars after start (default 5).
OS Reclaim within N bars
OS Bounce within N bars
OS Breakdown within N bars
OB Reject within N bars
OB Breakout within N bars
OB Breakdown within N bars
Hold/Confirm alerts
OS Hold/Confirm (N closes above) — first bar where close stayed above OS for N consecutive bars.
OB Hold/Confirm (N closes below) — first bar where close stayed below OB for N consecutive bars.
SQZ lifecycle alerts
SQZ Start
SQZ Release
SQZ Bull Release — release bar close > SQZ anchor
SQZ Bear Release — release bar close < SQZ anchor
Suggested workflows
Bottom / bounce workflow
Watch: OS Start (Any) or OS Touch (Any)
Confirm: OS Reclaim within N bars + OS Hold/Confirm
Context: SQZ ON and/or SQZ Bull Release to time expansion
Top / rejection workflow
Watch: OB Start (Any) or OB Touch (Any)
Confirm: OB Reject within N bars (or OB Breakdown)
Context: SQZ Bear Release to time expansion lower
Notes
“Active line” alerts will be true on every bar while the line is present. For one-shot alerts, prefer the Start or Within-N-bar alerts.
If you change trend, slope, or squeeze parameters compared to a framework strategy script, you should expect differences in marker density and background behavior. The signal is highly parameter-dependent.
“Oversold/Overbought” levels are currently hardcoded, future version will open up configuration settings.
ALIEN WARP CORE [ULTIMATE] ALIEN WARP CORE is a multi-engine oscillator designed for chart analysis and visual clarity.
It lets you switch between several popular momentum engines and provides consistent visuals, optional filters, and clear signal markers.
What it includes
Multiple engines (selectable): Laguerre RSI, Connors RSI, Stochastic RSI, MFI, TDI, Standard RSI, and MACD (MT5-style).
Two-line systems: Signal line support in Stoch RSI / TDI / Standard RSI / MACD modes.
Trinity Color Logic: A dynamic gradient that helps visualize momentum bias (sell → neutral → buy).
Optional visual layers: “Nebula mist” bands and background warp color for easier reading.
Signals & markers: Buy/Sell labels, divergence markers, and midline retest markers (optional).
Filters (optional)
This script can apply extra confirmation filters:
EMA 200 trend filter
Momentum EMA filter (EMA 10 vs EMA 12)
ADX strength filter
RSI “safety” filter (blocks buys in extreme overbought, blocks sells in extreme oversold)
You can also enable Specific Signals for Standard RSI and MACD crossovers.
If Bypass Global Filters is enabled, those crossover signals can work independently from EMA/ADX filters.
How to use
Choose your preferred Engine in the settings.
Adjust lengths and visuals (line width, solid/gradient, mist opacity).
Enable filters if you want fewer signals and more confirmation.
Use divergence and retest markers as context, not as standalone trade triggers.
Important notes
This indicator is for educational and informational purposes only and does not provide financial advice.
Signals are not guaranteed and may repaint visually around pivot-based divergence detection.
Always backtest and combine with your own risk management.
SMC SNI LAP ULTRA This indicator is a multi-tool market-structure and confluence signal assistant designed for EDUCATIONAL PURPOSES ONLY. It combines Smart Money Concepts (SMC) and classic technical confirmations to help visualize context, zones, and potential trade ideas.
What it shows
• Market Structure: Swing/Internal pivots, BOS / CHoCH / MSS labels and structure lines
• Liquidity Concepts: EQH/EQL style areas and liquidity sweep detection (when enabled)
• Zones & Areas of Interest: Supply/Demand, Order Blocks (OB), Fair Value Gaps (FVG) and key levels (depending on settings)
• Confirmation Tools: Pin bar / engulfing patterns, RSI-based filters and optional divergence
• Confluence Scoring (AI-like): A rule-based scoring system that weights multiple conditions (trend alignment, momentum strength, volume spike, sweep, zone location, RR quality, etc.)
• Risk Visualization: Optional Entry / TP / SL guide lines based on selected TP/SL modes and RR settings
• Alerts: Optional alerts that can be used for notifications or webhook integrations (signals only)
About “AI” / Scoring
The “AI” features in this script are NOT machine learning and do NOT predict the future. They are rule-based calculations that assign a score from multiple factors and track simple win/loss statistics based on user-defined TP/SL logic. Results depend on market conditions and your settings.
Important Disclaimer
This indicator does NOT provide financial advice and does NOT guarantee profits. Trading involves risk and you can lose money. Any signals, scores, or projections are informational and for research/testing only. Always do your own analysis, manage risk properly, and consider using a demo account for evaluation.
Recommended Use
Use it as a context tool:
1) Identify structure (BOS/CHoCH) and trend bias
2) Mark zones (OB/FVG/Supply-Demand)
3) Wait for confirmation (candle patterns, RSI/divergence, volume, etc.)
4) Use the scoring as a filter—not as a guarantee
If you need automated execution, connect alerts to your own external system at your own responsibility. This script itself is an indicator (not an auto-trading system).
SVEA - Smart Valuation & Analysis [Gabremoku]SVEA is a smart overbought/oversold map that paints dynamic price zones and reversal signals directly on the chart using RSI and ATR‑based volatility bands.📈✨
🧠 Smart context: Automatically adapts OB/OS levels to asset type and timeframe (equities, crypto, forex, 15m) for more realistic signals.
🎯 Actionable zones: Highlights continuous OB/OS price areas as dynamic support/resistance, helping to spot stretched moves and potential reversals at a glance.
🌡️ Volatility‑aware: Uses ATR‑driven padding so zones expand in high volatility and contract in calm markets, keeping signals relevant across regimes.
🛠️ Fully customizable: Fine‑tune OB/OS levels, lookback, padding, and visibility to match your strategy and preferred signal frequency.
Trend Speed & ALMA vs VWAP Oscillator# Trend Speed ALMA VWAP Oscillator (TSAV Osc)
## Overview
The **Trend Speed ALMA VWAP Oscillator** is a MACD-style oscillator that combines three powerful concepts: the Trend Speed Analyzer's dynamic EMA, ALMA (Arnaud Legoux Moving Average) bands, and Volume Weighted Average Price (VWAP). It measures trend strength and momentum relative to VWAP, providing clear visual signals for trend direction and potential reversals.
## Key Features
- **MACD-Style Display**: Familiar oscillator layout with lines, signal lines, and histogram
- **Multiple VWAP Types**: Session, Rolling (1-24 hours), and Weekly anchored VWAP
- **Dynamic Trend Analysis**: Adaptive EMA with acceleration factor from Trend Speed Analyzer
- **ALMA Band Integration**: Fast and slow ALMA for crossover signals
- **Chart Overlay**: Optional plots of Dynamic Trend, VWAP, and ALMA bands on price chart
- **VWAP Standard Deviation Bands**: +/- 1, 2, 3 standard deviation bands
## Indicator Components
### Oscillator Pane
| Component | Description |
|-----------|-------------|
| **Trend vs VWAP Line** | Distance between Dynamic Trend EMA and VWAP (blue) |
| **Trend Signal Line** | EMA of Trend vs VWAP for crossover signals (cyan) |
| **ALMA vs VWAP Line** | Distance between fast ALMA and VWAP (orange) |
| **ALMA Signal Line** | EMA of ALMA vs VWAP (yellow) |
| **Histogram** | Configurable: Trend Strength, Trend vs VWAP, or ALMA vs VWAP |
| **Zero Line** | White reference line at zero (VWAP level) |
### Chart Overlay (Optional)
| Component | Description |
|-----------|-------------|
| **Dynamic Trend** | Dotted line colored by histogram gradient |
| **VWAP** | Thick solid line, green above/red below trend |
| **VWAP Bands** | Standard deviation bands (+/- 1, 2, 3 std) |
| **ALMA Bands** | Fast and slow ALMA with optional fill |
### Signal Markers
| Signal | Shape | Meaning |
|--------|-------|---------|
| **Triangle Up** (green) | Bottom | Trend vs VWAP crossed above signal line |
| **Triangle Down** (red) | Top | Trend vs VWAP crossed below signal line |
| **X Cross** (green) | Zero line | Dynamic Trend crossed above VWAP |
| **X Cross** (red) | Zero line | Dynamic Trend crossed below VWAP |
| **Circle** (green) | Oscillator | ALMA bullish cross (configurable source) |
| **Circle** (red) | Oscillator | ALMA bearish cross (configurable source) |
| **Background Highlight** | Full bar | Ideal entry condition met |
## VWAP Types
### Session VWAP
Resets at a configurable anchor time (default 9:30 AM EST). Best for intraday trading with regular market hours.
### Rolling VWAP
Uses a moving window of 1, 2, 3, 4, 8, 12, or 24 hours. Best for continuous markets or when you want a shorter-term volume-weighted reference.
### Weekly VWAP
Resets at the start of each trading week using `timeframe.change("W")`. Works across all market types:
- **Stocks**: Resets Monday morning
- **Futures**: Resets at futures week open
- **Crypto**: Resets at calendar week start
## Settings Guide
### VWAP Settings
- **VWAP Type**: Session, Rolling, or Weekly
- **Anchor Time**: Reset time for Session VWAP (EST timezone)
- **Rolling Period**: Window size for Rolling VWAP
- **VWAP Source**: Price source for VWAP calculation (default: hlc3)
### Trend Speed Settings
- **Maximum Length**: Upper limit for dynamic moving average (default: 50)
- **Accelerator Multiplier**: Responsiveness to price changes (default: 5.0)
- **Speed Smoothing**: Hull MA period for speed smoothing (default: 5)
### ALMA Settings
- **ALMA 1 (Fast)**: Length, Offset, Sigma for fast ALMA
- **ALMA 2 (Slow)**: Length, Offset, Sigma for slow ALMA
### MACD Settings
- **Signal Line Length**: EMA period for signal lines (default: 9)
### Display Settings
- **Histogram Source**: Choose what the histogram displays
- **ALMA Cross Source**: "ALMA Bands" (ALMA1 vs ALMA2) or "Oscillator Signal" (vs signal line)
- **Show/Hide**: Toggle individual components
### Chart Overlay
- **Show Dynamic Trend**: Dotted trend line on chart
- **Show VWAP**: Thick VWAP line on chart
- **Show VWAP Std Dev Bands**: +/- 1, 2, 3 standard deviation bands
- **Show ALMA Bands**: ALMA1 and ALMA2 on chart
- **Show ALMA Fill**: Fill between ALMA bands
## Trading Guidelines
### Bullish Signals
1. Trend vs VWAP line crosses above signal line (triangle up)
2. Dynamic Trend crosses above zero/VWAP (green X)
3. ALMA bullish cross (green circle)
4. **Ideal Long**: All three align with positive histogram
### Bearish Signals
1. Trend vs VWAP line crosses below signal line (triangle down)
2. Dynamic Trend crosses below zero/VWAP (red X)
3. ALMA bearish cross (red circle)
4. **Ideal Short**: All three align with negative histogram
### Reading the Histogram
- **Bright Green**: Strong bullish momentum (trend accelerating up)
- **Light Green**: Weak bullish momentum (trend slowing)
- **Light Red**: Weak bearish momentum (trend slowing)
- **Bright Red**: Strong bearish momentum (trend accelerating down)
### VWAP as Support/Resistance
- Price above VWAP with positive oscillator = bullish bias
- Price below VWAP with negative oscillator = bearish bias
- Oscillator crossing zero = potential trend change at VWAP
## Installation
1. Copy the source code from `trend-speed-alma-vwap-oscillator.pine`
2. Open TradingView's Pine Editor
3. Paste the code and click "Add to Chart"
4. Configure settings based on your trading style
## Files Included
- `trend-speed-alma-vwap-oscillator.pine` - Main indicator implementation
- `README.md` - This documentation file
## Based On
- **Trend Speed Analyzer** by Zeiierman - Dynamic EMA and speed calculations
- **ALMA** (Arnaud Legoux Moving Average) - Built-in TradingView function
- **VWAP** - Volume Weighted Average Price with custom anchoring
## Disclaimer
Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. This indicator is for educational purposes only and should not be considered as investment advice.
VCTOS - Volatility & Candle Transition OscillatorShort Description (one-line summary)
Displays candle and volatility-based trend transitions using EMA relationships and adaptive dynamic thresholds.
Full Description
Overview
This VCTOS (Volatility & Candle Transition Oscillator System) indicator visualizes market structure, volatility, and transition phases using a custom oscillator-based candle model.
Its purpose is to provide contextual insight into pressure, strength, and loss of momentum, not to predict future price movement and not to provide trading signals.
________________________________________
What Makes This Script Distinct
The indicator is designed to make relative market strength observable:
• Taller candles reflect higher volatility
• Shorter candles reflect reduced activity
• Candles extending far beyond the threshold suggest stronger conditions
• Compression toward the threshold suggests weakening pressure
While the base calculations use EMA-derived components, the indicator’s distinguishing feature is its adaptive advanced threshold logic, which frames volatility in a consistent and measurable way across different conditions.
________________________________________
How to Read It
One way to interpret the oscillator candles is by comparing them against price to observe divergence, compression, and loss of momentum.
To support this, candles are labeled with incrementing numbers.
These numbers do not represent signals, probabilities, or trade instructions. They simply indicate how long a sequence has been developing.
The label colors reflect transition phases:
• Blue – early phase
• Orange – transition building
• Green – late phase
A green label indicates that a sequence has matured, not that a transition will occur. Interpreting whether this information is meaningful depends on broader market context.
________________________________________
Oscillator Candle Representation
Price action is transformed into candles plotted around a zero line in oscillator form.
Each candle reflects relative movement and is color-coded based on its current state:
• Green – upward pressure
• Orange – range or transitional behavior
• Red – downward pressure
Because absolute market tops and bottoms cannot be known in advance, the oscillator format focuses on relative extremes and structural behavior, rather than fixed price levels.
________________________________________
Dynamic Candle Threshold Line
A dotted Candle Threshold Line is plotted above and below the oscillator candles.
This line is not a simple average. It dynamically adapts using the most relevant extreme values observed over time, allowing it to adjust automatically to changing volatility conditions.
The threshold line serves as a reference zone where market conditions may become stretched. It is a dynamic indication only and should not be interpreted as a reversal level or predictive boundary.
________________________________________
Volatility Line
The indicator includes a Volatility Line representing directional pressure:
• Above zero – downward pressure
• Below zero – upward pressure
Short colored threshold lines appear on the indicator right areas where pressure threshold was in the past. These segments are contextual references, not triggers.
The slope and magnitude of the volatility line are emphasized, as they reflect increasing or decreasing pressure rather than binary conditions.
________________________________________
Timeframes and Assets
The indicator is designed to work on any asset and any timeframe.
The active timeframe is displayed in the top-right corner of the chart.
Using multiple timeframes can help place short-term structure within broader market context.
________________________________________
Usage Notes
• This indicator does not generate trade entries, exit signals, or financial recommendations.
• This indicator does not predict future price movement
• Colored candles and labels highlight contextual phases within market behavior and should not be interpreted as buy or sell signals.
• Zero-line interactions in the volatility line visually mark potential phase transitions, not confirmed trend changes.
• All visuals are intended for analytical and educational purposes only.
• Users are encouraged to integrate this indicator within their own analytical or confirmation framework.
• Numerical labels are iterative and do not carry standalone predictive meaning.
• The distance between the oscillator candles, the candle threshold line, and the volatility threshold levels can help visualize relative market strength and pressure, but should not be interpreted as a forecast or signal.
The indicator is intended as a market-structure and volatility visualization tool, not as a standalone decision system.
________________________________________
Access
This is an invite-only script.
Access is restricted to users who have been granted permission by the author.
To request access, contact me through vtostrading@gmail.com
Approved users will find the indicator under Invite-only scripts in the TradingView Indicators panel.
________________________________________
Disclaimer
VCTOS is provided strictly for informational and educational purposes.
It does not constitute financial advice, investment guidance, or performance assurance.
All users should conduct independent analysis and manage their own risk responsibly.
The Beast (Adaptive Companion)⚡Quick Start
Shows momentum behind every signal
Histogram view (clearer than lines)
Highlights re-entry preparation
Plots entries and re-entries in the panel
Designed to be used together with "The Beast (Main) indicator.
📊 Overview
This oscillator is a visual companion to the main indicator.
It explains why signals occur, not just when.
It uses the same Z-Score logic and thresholds, giving you a clear view of momentum, pullbacks, and continuation setups.
📈 What You See
Z-Score Histogram
Green → strong bullish momentum
Red → strong bearish momentum
Neutral → low or mixed momentum
Threshold Levels
Zero line
Positive and negative thresholds
These match the exact rules used for entries.
Re-Entry Arming (Background Highlight)
The background subtly highlights when:
A bullish re-entry is being prepared
A bearish re-entry is being prepared
This helps you anticipate continuation trades, not chase them.
Signal Markers (In the Panel)
The oscillator displays:
▲ BUY entries
▼ SELL entries
✕ Re-entries
This keeps the price chart clean while preserving full context.
🔗 How Both Indicators Work Together
Main Indicator → What to do (entries on price)
Oscillator Companion → Why it happens (momentum + structure)
When both use the same input values, they stay perfectly aligned and create a clear, intuitive workflow.
✅ Final Notes
Non-repainting
Rule-based
Designed for clarity, not signal spam
Best used with proper risk management
TrendX Amila Bro SignalsTrendX Amila Bro is a trend-following TradingView indicator designed to identify high-probability BUY and SELL signals by combining EMA crossovers, RSI strength, Fibonacci retracement zones, and optional RSI divergence confirmation.
The indicator is built to work on any market (Forex, Gold, Crypto, Indices, Stocks) and any timeframe, with best performance during trending market conditions.
🔹 Core Features
Fast & Slow EMA crossover to detect trend direction
RSI strength filter to avoid weak or low-momentum signals
Optional Fibonacci 50% & 61.8% zone filter for pullback entries
Optional RSI divergence filter for stronger confirmations
Clear BUY / SELL arrows directly on the price chart
Customizable inputs for full control
🔸 Signal Types
BUY / SELL
Basic EMA + RSI signals (always visible)
BUY+ / SELL+
Strong signals when EMA + RSI + Fibonacci + Divergence all agree
⚙️ Settings Guide
Fast EMA / Slow EMA – Adjust trend sensitivity
RSI Levels – Control momentum strength for entries
Use Fibonacci Filter – Enable for pullback-based entries
Use RSI Divergence Filter – Enable for extra confirmation
Fib Zone Distance % – Defines tolerance around Fib levels
💡 Tip: Turn Fib & Divergence filters OFF for more signals,
turn them ON for higher-quality setups.
📈 Best Use
Trending markets
Pullback entries in trend direction
Confluence with support/resistance or price action
⚠️ Disclaimer
This indicator is for educational purposes only and does not guarantee profits. Always use proper risk management and confirm signals with your own analysis.
Swing Master by Pooja📘 Swing Master by Pooja
Invite-Only | Rule-Based Swing & Trend Structure Indicator
🔍 What this indicator is
Swing Master by Pooja is a rule-based technical analysis indicator designed to help traders identify high-quality swing opportunities within an established trend structure.
This script is not a trading strategy.
It does not execute trades and does not provide fixed targets or stop-loss levels.
Instead, it functions as a decision-support tool.
Visual signals appear only on confirmed candles, and only when trend structure, momentum, and market participation align together.
The core objective of this indicator is filtering low-quality market conditions and avoiding random entries, not generating frequent signals.
🎯 Intended Trading Use
This indicator is intended for traders who:
Trade trend-based swings and pullbacks
Prefer structure-aligned entries instead of chasing price
Want multi-factor confirmation before acting
Apply their own execution and risk-management rules
Applicable on:
Indices
Stocks
Futures
Intraday & higher-timeframe swing charts
🧠 Why this is NOT a simple indicator mashup
Although Swing Master uses EMA, RSI, Volume, and multi-timeframe context, each component serves a distinct and non-overlapping role.
No indicator is used to confirm itself, and no single condition can trigger a signal independently.
Signals are generated only when all required structural and momentum conditions align together on a confirmed bar, reducing noise and hindsight bias.
🔹 EMA Structure (50 / 100 / 200)
Defines trend hierarchy and market structure
Strictly filters trades in the dominant trend direction
Identifies pullback zones, not breakout points
EMA stacking is used to determine structural bias, not direct entries.
🔹 Pullback-Tolerance Logic (Key Original Component)
Instead of requiring exact EMA touches, the script applies a tolerance-based pullback zone around EMAs.
This allows:
More realistic swing entries
Fewer missed opportunities
Reduced noise compared to rigid EMA rules
This pullback-zone evaluation is custom-designed and central to the indicator’s behavior.
🔹 RSI Momentum Filter
Ensures pullbacks occur with momentum acceptance
Filters entries during weak or exhausted moves
Helps avoid counter-trend traps
RSI is used strictly as a momentum-quality filter, not as a standalone signal.
🔹 Volume Participation Filter
Confirms that price movement has market participation
Filters signals during low-interest or weak-volume phases
Helps avoid false continuation attempts
🚦 Signal Types Explained (Rule-Specific & Non-Repeating)
Each visual signal represents a distinct market condition, not repeated logic.
▸ sb — Swing Buy
Trend-aligned pullback near EMA structure
RSI confirms momentum
Volume confirms participation
▸ FS — Future Sell
Mirror logic of Swing Buy
Appears only in established downtrends
▸ SB / SS — Strong Buy / Strong Sell Zones
Price acceptance above or below all EMAs
Indicates strong directional control
Plotted only on the first bar of zone entry (no repetition)
▸ GB / GS — Golden Buy / Golden Sell
EMA 100 / EMA 200 crossover
Represents a structural trend transition
Appears only on confirmed crossovers
Each signal type follows its own independent rule-set.
📊 Multi-Timeframe Dashboard (Context Only)
The optional dashboard provides:
Trend state across higher timeframes
Top-down market context for directional bias
The dashboard is informational only and does not generate signals.
🔔 Alerts
Alert conditions are available for all signal types.
Alerts trigger only on confirmed candles and are intended to support manual analysis, not automated trading.
🔐 Why Invite-Only & Closed-Source
Swing Master incorporates:
Stateful signal control
Multi-condition validation
Non-repeating signal logic
Custom pullback-zone evaluation
The source code is protected to preserve the internal interaction, sequencing, and state management logic, not to conceal commonly known indicators.
⚠ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice and does not guarantee results.
All trading decisions, execution, and risk management remain entirely the user’s responsibility.
RSS3 - Reversal Score System v3 [Rulph]RSS3 - Reversal Score System v3
RSS3 is a quantitative reversal detection system that combines volatility pressure analysis with directional momentum exhaustion to produce a unified reversal strength score from -1 (extreme bullish) to +1 (extreme bearish).
Unlike traditional single-indicator divergence systems (RSI, MACD), RSS3 cross-validates signals between two independent analytical engines (VPI and TDFI) and applies multi-timeframe contextual filtering to reduce false signals.
RSS3 is not a visual overlay of separate indicators. It implements a unified calculation pipeline where VPI and TDFI components feed into a single normalized Score through weighted aggregation. The divergence bonus system creates feedback loops where price-indicator relationships dynamically adjust the final Score, producing signals that cannot be replicated by simply viewing RSI, Bollinger Bands, and moving averages side-by-side.
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WHY COMBINE VOLATILITY + TREND FORCE?
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Most reversal systems rely on a single dimension:
• RSI divergence tracks momentum exhaustion
• Bollinger extremes track volatility expansion
• MACD divergence tracks trend deceleration
RSS3 recognizes that major reversals typically require both :
1. Volatility pressure buildup (market stretched beyond normal range)
2. Directional force exhaustion (trend losing momentum despite stretched price)
When VPI (volatility) and TDFI (trend force) diverge simultaneously from price, it signals a high-probability reversal zone. When only one diverges, the signal is weighted accordingly.
This dual-validation approach filters out:
• Momentum exhaustion in low-volatility consolidations (no VPI confirmation)
• Volatility spikes within strong trends (no TDFI exhaustion)
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COMPONENT 1: VOLATILITY PRESSURE INDEX (VPI)
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VPI quantifies how far the market has deviated from its equilibrium state using four factors:
1. RSI deviation from 50
Measures directional bias accumulation. When RSI stays at 70+ or 30- for extended periods, it signals persistent one-sided pressure.
2. Annualized volatility (VIX-style)
Calculates rolling standard deviation of returns scaled to annual terms. Rising volatility indicates increasing uncertainty and potential for mean reversion.
3. Normalized candle range
Compares current bar's range to recent average range. Expanding ranges signal climactic moves.
4. Bollinger Band position
Measures price distance from statistical mean (middle band). Touches or penetrations of outer bands indicate statistical overextension.
How they combine:
Each component is normalized to 0-1 scale, then weighted based on current market regime (trending vs ranging). The weighted average produces VPI reading where:
• VPI > 0.5 = overbought pressure zone
• VPI < -0.5 = oversold pressure zone
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COMPONENT 2: TREND DIRECTION FORCE INDEX (TDFI)
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TDFI measures the strength and sustainability of directional movement using moving average dynamics:
1. MA spread (fast MMA vs slow SMMA)
When fast MA pulls far from slow MA, it indicates strong directional momentum. When the spread contracts, momentum is fading.
2. Average impulse between MAs
Calculates the velocity of the spread change. Rapid expansion = acceleration phase; slowing expansion or contraction = deceleration/exhaustion.
3. Normalized trend strength
The spread and impulse are normalized relative to recent volatility to make TDFI comparable across different instruments and market conditions.
Output:
• TDFI > 0.7 = unsustainably strong bullish momentum
• TDFI < -0.7 = unsustainably strong bearish momentum
• TDFI near 0 = directionless or balanced market
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SCORE CALCULATION & DIVERGENCE INTEGRATION
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Base Score:
Score = (VPI_weight × VPI) + (TDFI_weight × TDFI)
This creates a continuous measure where:
• Score > +0.5 = bearish reversal zone (high VPI + weak bullish TDFI)
• Score < -0.5 = bullish reversal zone (low VPI + weak bearish TDFI)
Divergence Bonus System:
When classic divergences are detected (price makes new high/low but VPI or TDFI doesn't), a bonus/penalty is applied to Score:
• Decay mechanism: Divergence influence fades linearly over 15 bars (default). Fresh divergences have maximum impact; older ones gradually lose weight.
• Amplitude weighting: Larger divergences (bigger spread between price and indicator pivots) receive stronger bonuses.
• Dual-source amplification: When VPI and TDFI diverge on the same pivot (double divergence), their bonuses stack, creating extreme Score readings near ±1.0.
This means:
• Score = 0.9 with v3t2 label = third VPI + second TDFI bearish divergence, very high confidence
• Score = -0.85 with v1 label = first VPI bullish divergence, strong but early signal
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CALCULATION MECHANICS (DETAILED)
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VPI Component Weighting:
Weights are dynamically adjusted based on market regime detected by TDFI:
• Trending regime (|TDFI| > 0.5): RSI deviation 40%, BB position 30%, volatility 15%, range 15%
• Ranging regime (|TDFI| < 0.3): Volatility 35%, range 35%, RSI deviation 15%, BB position 15%
• Transition zones: linear interpolation between the two weight sets
Normalization Approach:
Each VPI/TDFI component is rescaled using rolling percentile rank over 100-bar window:
• Value at 100th percentile (highest) → 1.0
• Value at 0th percentile (lowest) → 0.0
• Current value → percentile position between 0-1
This makes the indicator adaptive to changing volatility and comparable across instruments.
Divergence Amplitude Measurement:
When a divergence is detected, its strength is quantified as:
Amplitude = (price_pivot_delta / ATR) × (indicator_pivot_delta / indicator_stddev)
Where:
• price_pivot_delta = distance between current and previous pivot
• indicator_pivot_delta = distance between indicator values at those pivots
• ATR and stddev provide normalization
Larger amplitude → larger bonus/penalty to Score (up to ±0.3 maximum).
Decay Function:
Divergence bonus decays linearly: Bonus(t) = Initial_Bonus × (1 - t/15), where t is bars since divergence. After 15 bars, bonus reaches zero. This ensures recent divergences dominate the Score.
Why This Design:
This architecture creates a system where:
• Components adapt to market regime automatically
• Signals are normalized across timeframes and instruments
• Multiple divergences create amplification (bonuses stack)
• Stale signals fade out naturally
This is fundamentally different from displaying RSI + Bollinger + MA separately, as the unified Score cannot be replicated by visual inspection alone.
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SEQUENTIAL DIVERGENCE LABELS (v/t SYSTEM)
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Each divergence is tracked separately for VPI and TDFI:
v-series: VPI divergences (v1, v2, v3...)
t-series: TDFI divergences (t1, t2, t3...)
The counter increments each time a new divergence appears in the same direction (e.g., consecutive bearish divergences). When direction flips (bearish → bullish), counters reset to 1.
Why this matters:
• v1 or t1 = early warning, potentially premature
• v3 or v4 = late-stage exhaustion, higher probability of reversal
• v2t3 = double divergence with second VPI + third TDFI = strong confluence
Traders can filter signals by label:
• Aggressive: trade v1/t1
• Conservative: wait for v2+/t2+ or double divergences
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MULTI-TIMEFRAME FILTER
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The MTF filter analyzes a higher timeframe to determine if the current market structure supports the divergence signal.
Modes:
• Off: All divergences shown
• Reduce: Counter-trend divergences have their bonus reduced by 70% (visual indication: dimmed/gray markers)
• Block: Counter-trend divergences completely hidden
Logic:
If 1H shows bearish divergence but 4H is in strong uptrend (Score < -0.3), the 1H signal is likely premature. MTF filter prevents entering shorts against higher timeframe momentum.
This protects against:
• Catching falling knives in strong downtrends
• Shorting pullbacks in strong uptrends
• Low-probability mean-reversion attempts
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HOW TO USE RSS3
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Entry Setup:
1. Wait for divergence marker (green = bullish, red = bearish)
2. Check Score magnitude:
• |Score| > 0.5 = higher confidence
• |Score| > 0.8 = extreme zone
3. Check v/t label:
• v1/t1 = early (more risk, more reward potential)
• v2+/t2+ or double = late but more reliable
4. Optional: wait +2 bars for pivot confirmation
Exit Options:
• Conservative: opposite divergence appears
• Aggressive: Score crosses through 0 or opposite ±0.5 threshold
• Always use volatility-based stop (2-3× ATR)
Timeframe Recommendations:
• 5-15m: intraday (use MTF 1H-4H)
• 1-4H: swing trading (use MTF Daily-Weekly)
• Daily: position trading (use MTF Weekly-Monthly)
Complementary Tools:
RSS3 is a reversal timing engine, not a complete strategy. Combine with:
• Support/resistance for target zones
• Volume analysis for confirmation
• Trend filters for directional bias
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WHAT MAKES RSS3 ORIGINAL
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vs Traditional RSI Divergence:
• RSI divergence = binary yes/no
• RSS3 = quantified strength score with dual-source validation
vs MACD Divergence:
• MACD = single dimension (momentum)
• RSS3 = volatility pressure + trend force + MTF context
vs Bollinger + RSI mashup:
• Standard mashup = two separate signals
• RSS3 = unified scoring system where components interact through weighted bonuses
Unique features:
• Decay-weighted divergence bonuses (recent divergences matter more)
• Amplitude-sensitive scoring (stronger divergences = higher score impact)
• Sequential tracking (v/t labels show signal maturity)
• MTF-aware filtering (context-dependent signal validation)
• Closed-loop system (divergences → Score → priority weighting → signal)
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EXAMPLE INTERPRETATION
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Scenario: BTC 2H chart shows:
• Red triangle appears above price
• Label: v1 + t2
• Recent Score Value: 1
What this means:
• Second consecutive TDFI bearish divergence detected (t2)
• First VPI bearish divergence on same pivot (v1)
• Double divergence stacking → Score near maximum
• Market is in extreme overbought/overextended zone
• High probability of short-term reversal
Trading decision:
• Aggressive trader: short immediately with tight stop
• Conservative trader: wait for Score to drop below 0.5 or opposite divergence for exit
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CHART LEGEND
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The published chart shows:
• Green triangles below price = bullish divergences (v/t labels indicate sequence)
• Red triangles above price = bearish divergences
• Score line in lower panel = reversal strength from -1 to +1
• Colored clouds = pressure accumulation zones (optional display)
• Text annotations = example entry/exit points for educational purposes
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Disclaimer: All trading involves risk. This indicator does not guarantee profits. Always backtest and apply proper risk management.
Support Resistance + RSI + 4 EMA (Doge_SV)Overview
This comprehensive indicator is designed to provide traders with a "bird's-eye view" of the market by combining three essential technical analysis tools into a single, clean interface. It helps in identifying trend direction, key price levels, and momentum across multiple timeframes without cluttering your workspace.
Key Features
1. Dynamic Support & Resistance (S/R)
The script automatically identifies and plots significant Support and Resistance levels based on pivot points.
Dynamic Zones: It highlights areas where price has historically reacted, helping you find high-probability entry and exit points.
Strength Filtering: Includes a built-in algorithm to display only the most "significant" levels based on their historical strength.
Visual Alerts: Lines and labels change color (Lime for Support, Red for Resistance) based on the current price position.
2. Quad-EMA Trend Ribbon (The "Exponential Moving Averages")
The indicator features four of the most widely used EMAs in professional trading to identify trend hierarchy:
EMA 34 (Green): Short-term momentum and immediate support/resistance.
EMA 89 (Blue): Intermediate-term trend filter (The "Trend Core").
EMA 200 (Black): Long-term trend baseline (The "Institutional Level").
EMA 633 (Purple): Ultra-long-term trend, often used for major cycle analysis.
3. Multi-Timeframe (MTF) RSI Dashboard
Stay informed about overbought or oversold conditions across all timeframes simultaneously.
Real-time Table: A neat table in the corner of your chart displays RSI (14) values from 1 minute up to 1 day.
Heatmap Logic: The table cells automatically change color based on intensity:
Red/Orange: Overbought (RSI > 70/80)
Green/Dark Green: Oversold (RSI < 30/20)
White: Neutral zone.
How to Use
Trend Alignment: Look for the 4-EMAs to be stacked in order (34 > 89 > 200 > 633 for a Bullish trend).
S/R Confirmation: When price approaches a Red Resistance line, check the RSI Dashboard. If higher timeframes are also Overbought, it increases the probability of a reversal.
Breakout Detection: Use the Support/Resistance lines to identify potential breakouts or "Role Reversal" (where old resistance becomes new support).
VuManChu Strategy [ADX + Vol + Risk] - Good for BTC- The strategy uses the VuManChu WaveTrend oscillator
- Before entering any trade, the ADX filter must show a reading above 25. For more reliable momentum moves
- Three-Layer Exit System:
Fixed Stop Loss (3%): Hard stop placed 3% below entry for longs (above for shorts) to limit maximum loss per trade. This accommodates typical BTC 5-minute volatility without premature stopouts.
Take Profit Target (9%): Fixed profit target at 9% providing a 1:3 risk-reward ratio. This means you only need a 40-50% win rate to be profitable overall.
Conditional Trailing Stop: The most sophisticated protection - a trailing stop that only activates after the trade reaches 4.5% profit (halfway to target). Once activated, it trails price by 2%, locking in gains while still allowing the trade to reach the full 9% target.
