Directional Volume Shapes (Zeiierman)█ Overview
Directional Volume Shapes (Zeiierman) is a regime-classification oscillator that reframes volume analysis around a different question: not simply “how much volume traded,” but “what statistical shape has directional pressure been forming, and which way is it leaning?”
Instead of plotting raw buy and sell volume bar by bar, the indicator scores each candle for directional pressure using a triangular intrabar distribution model. It collects those scores in a rolling window, classifies the pattern into one of seven distribution shapes, and displays a smooth synthetic template of the detected shape.
The result is less like a traditional volume indicator and more like a distribution-regime display, showing the type of pressure environment currently developing.
⚪ Why Is This One Unique?
Most volume tools show exactly what happened: green bar up, red bar down, and taller bar equals more volume. This indicator uses a two-stage process: classify, then synthesize.
It combines:
• A triangular CDF candle scorer that estimates directional pressure from OHLC data
• A rolling shape classifier using skewness, Gaussian-smoothed peak detection, and time correlation
• Seven possible classifications: Bell, Right-skewed, Left-skewed, J-shaped, Reverse-J, Bimodal, and Multimodal
• A template generator that displays an idealized mathematical version of the active shape
• A separate EMA-based polarity engine that controls bullish or bearish direction
█ How It Works
⚪ 1. Scores Each Candle’s Directional Pressure
Instead of using a simple “close above open equals bullish” rule, the indicator models the candle’s high-low range as a triangular probability distribution centered at the close.
The scr() function evaluates the candle’s full OHLC structure and returns a value between 0 and 1. That result is then converted into a signed pressure score between -1 and +1.
dm = scr(open, high, low, close)
ps = 2.0 * dm - 1.0
Values near +1 represent stronger bullish pressure, while values near -1 represent stronger bearish pressure. Values near zero indicate a more balanced candle.
⚪ 2. Optionally Weights Pressure by Volume
When Volume Weighting is enabled, the pressure score is multiplied by raw volume.
src = vw ? volume * ps : ps
This gives high-volume bars more influence over the rolling shape-classification window. When disabled, the classifier uses directional pressure alone.
Volume still controls the height of the plotted columns regardless of this setting.
⚪ 3. Classifies Pressure Shape, Not Direction
The indicator stores recent pressure values in a rolling window. Before classification, it converts each value into its absolute magnitude.
for i = 0 to buf.size() - 1
mag.set(i, math.abs(buf.get(i)))
Using math.abs() removes bullish and bearish direction from the classification stage. The classifier analyzes how pressure strength has been distributed, not which direction it points.
It measures:
• Skewness in the raw pressure magnitudes
• Local peaks in a Gaussian-smoothed version of the data
• Whether pressure strength is generally increasing or decreasing through time
The final shape is selected using a fixed priority order:
if peaks >= 2
out := peaks == 2 ? "Bimodal" : "Multimodal"
else if corr > 0.5
out := "J-shaped"
else if corr < -0.5
out := "Reverse-J"
else if skew > 0.1
out := "Right-skewed"
else if skew < -0.1
out := "Left-skewed"
else
out := "Bell"
Multiple peaks are checked first, followed by rising or falling behavior, then skewness. Bell is used when no other condition is detected.
⚪ 4. Requires Persistence Before Changing Shapes
The active shape changes only after five consecutive bars produce a classification different from the shape currently displayed.
if ns != sh
sc += 1
else
sc := 0
if sc >= 5
sh := ns
ph := 0.0
sc := 0
The five classifications do not need to match each other. They only need to differ from the current active shape.
When the fifth differing classification arrives, the indicator switches to that bar’s shape and restarts the template cycle.
⚪ 5. Tracks Polarity Separately
Bullish or bearish polarity is calculated independently from the shape classification.
A short EMA is applied to the original signed pressure score:
pr = ta.ema(ps, pl)
string np = pr >= 0 ? "Bull" : "Bear"
When the EMA is above or equal to zero, polarity is Bull. When it is below zero, polarity is Bear.
Because polarity can change as soon as the EMA crosses zero, it usually reacts faster than the shape classifier.
⚪ 6. Displays a Synthetic Shape Template
Once a shape is selected, the indicator does not plot the original pressure values.
Instead, it generates an idealized mathematical template for the active shape. For example, Bell uses a Gaussian curve, J-shaped uses a squared rising curve, and Bimodal combines two separate Gaussian peaks.
The generated template is then scaled by recent average volume and signed according to polarity.
p = pol == "Bull" ? ph : 1.0 - ph
tv = tpl(sh, p)
sgn = pol == "Bull" ? 1.0 : -1.0
amp = ta.sma(volume, 3) * 1.8
y = amp * tv * sgn
The template advances by a fixed amount on each bar. Template Cycle Length controls how many bars are used to complete one full cycle.
█ Assumptions We Are Explicitly Making
The indicator’s usefulness depends on whether its modeling assumptions are suitable for the instrument and timeframe being analyzed.
These are not facts about market behavior. They are simplifying assumptions used because Pine Script does not provide true intrabar tick or order-flow data.
⚪ Intrabar Activity Is Approximated With a Triangular Distribution
The model approximates intrabar activity using a triangular distribution centered at the close. It does not know where price actually spent the most time within the candle.
Using another reference point, such as VWAP, the midpoint, or the open, could produce a different pressure score.
⚪ Shape and Direction Are Treated Separately
The shape classifier analyzes the magnitude of pressure but removes its bullish or bearish direction. Two windows with similar pressure-strength patterns but opposite directional bias can therefore receive the same shape classification.
The shape describes how pressure has been distributed, while the separate polarity calculation determines whether it is leaning Bull or Bear.
⚪ Seven Shapes Are Used to Describe Pressure Behavior
Every window is placed into one of seven fixed categories using predefined thresholds:
• Skewness thresholds of ±0.1
• Correlation thresholds of ±0.5
• Peak prominence above 10% of the smoothed envelope’s maximum
The classifier follows a fixed priority order rather than selecting the mathematically closest-fitting shape.
There is also no statistical significance test behind these thresholds, so borderline classifications may change because of noise.
⚪ The Displayed Curve Represents the Classification, Not the Raw Data
After classification, the indicator displays an idealized template rather than the original pressure values. Two different pressure windows classified as Bell will use the same normalized Bell template.
The final column height and direction can still differ because the template is scaled by recent volume and signed by polarity.
█ How to Use
⚪ Directional Volume Reading
Use the indicator as you would a traditional volume oscillator.
• Readings above zero indicate bullish volume strength.
• Readings below zero indicate bearish volume strength.
⚪ Divergences
Use the columns to identify divergences in volume strength.
• Bullish divergence: Price makes a lower low while the indicator forms a higher low.
• Bearish divergence: Price makes a higher high while the indicator forms a lower high.
⚪ Interpreting the Shape Labels
• Bell: Pressure intensity is relatively symmetric and contains one main area of activity.
• Right-skewed / Left-skewed: Pressure intensity is uneven and has a longer tail on one side of the distribution.
• J-shaped: Pressure intensity has generally increased toward the most recent bars.
• Reverse-J: Pressure intensity was stronger earlier in the window and has weakened toward the present.
• Bimodal / Multimodal: The smoothed pressure path contains two or more separate periods of stronger activity within the detection window.
⚪ Choosing the Shape Speed
Template Cycle Length controls how quickly the displayed shape moves through its synthetic cycle. It changes the visual speed of the columns, not the shape-detection window or Bull/Bear polarity.
• 3 bars, Fast: Creates tight, fast-moving shapes. This is the most responsive and active-looking setting.
• 4 bars, Balanced: Gives each shape slightly more time to develop while remaining responsive.
• 5 to 7 bars, Slow: Stretches the shape across more bars, creating smoother and slower visual cycles.
A value of 3 is useful when you prefer compact, fast-moving shapes. Increase the value when you want each shape to develop more gradually and remain visible for longer.
█ Settings
Use Volume Weighting: Controls whether volume multiplies directional pressure before shape classification. Volume still controls the plotted column height when this setting is disabled.
Detection Window: Sets the number of recent bars used to classify the current shape. Higher values produce slower and more stable classifications. Lower values react faster and may change shape more often.
Polarity Smoothing: Sets the EMA length used to determine Bull or Bear polarity. Higher values create steadier polarity. Lower values react faster.
Template Cycle Length: Sets the number of bars used to complete one synthetic shape template. Lower values create faster and tighter cycles. Higher values stretch the template over more bars.
Show Moving Average: Shows or hides a moving average of the final plotted output.
Type: Selects the moving-average method: SMA, EMA, RMA, or WMA.
Length: Sets the moving-average period.
Maximum Transparency: Sets the maximum transparency applied near the lower points of each template. A value of 0 disables the transparency fade.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicator
Volume Weighted RSI PRO | AnonycryptousVolume Weighted RSI Pro | Anonycryptous
Description & user manual
Why this indicator is different
Standard RSI treats every bar equally. A bar where 100 lots traded and a bar where 100,000 lots traded produce the same RSI value if the price change was the same. That is a fundamental problem. Price moves on low volume are noise. Price moves on high volume are institutional participation. RSI cannot tell the difference.
Volume Weighted RSI Pro fixes this at the calculation level.
Instead of averaging raw price changes, every gain and loss is multiplied by its relative volume before entering the RSI calculation. A strong move on elevated volume pushes the oscillator harder than the same move on thin participation. A drift in price on below-average volume barely registers. The result is an RSI that reflects who was actually behind the move — not just that a move happened.
But volume-weighted RSI alone is one perspective. The indicator adds a second independent layer through the Money Flow Index — a separate oscillator that weights typical price by volume rather than price change. When both VW RSI and MFI agree on an extreme reading, the confluence is structurally different from either line alone. One can be driven by a single large candle. Two separate calculation methods arriving at the same conclusion is harder to dismiss.
And then there are the liquidity levels.
Most RSI-based indicators live in isolation from price structure. They show you when the oscillator is extended, but not where on the price chart that extension corresponds to meaningful levels. Volume Weighted RSI Pro draws the nearest swing highs and lows directly on the price chart — the levels where stops cluster, where institutions defend positions, and where reversals tend to form. Each level shows the volume ratio at the moment it was created. Each level disappears automatically when price closes through it, and the indicator immediately identifies the next relevant level below or above.
The divergence engine connects oscillator behavior with price structure by drawing lines, endpoint markers, and a highlighted box on the price chart that spans the exact bars involved. Not just a signal — a spatial map of what happened and where.
This is an RSI indicator that knows where it is on the chart.
Important notice
Volume Weighted RSI Pro generates signals based on oscillator behavior, volume analysis, and price structure detection.
These signals are not financial advice.
They do not predict future price movement.
They do not guarantee profitability.
All trading decisions are made entirely by the user.
Always manage your own risk. Always apply your own judgment.
1. Overview
Volume Weighted RSI Pro is a multi-layer oscillator built around a volume-weighted RSI calculation. It combines momentum analysis, divergence detection, volume flow confirmation, and liquidity level mapping in a single indicator across both the oscillator pane and the price chart.
What it includes:
- Volume weighted RSI using relative volume to scale price change contributions
- Money Flow Index as a second independent momentum layer
- EMA signal line with configurable length and crossover markers
- Divergence detection with RSI pane lines and mainchart box visualization
- Liquidity level lines on the price chart from confirmed swing highs and lows
- Volume ratio label per liquidity level showing institutional activity at formation
- Automatic level mitigation: levels disappear when price closes through them
- OB/OS zone boxes with per-zone volume intensity tracking
- Gradient glow fill between the RSI line and midline
- OB/OS exit signals and signal line crossover markers
- Bar coloring and mainchart background based on RSI position
- Live dashboard with RSI value, volume ratio, zone, divergence, signal, and liquidity levels
- Seven alerts covering divergence, exits, and signal line crossovers
2. Core calculation
2.1 Volume weighted RSI
Standard RSI sums gains and losses over a lookback period using Wilder's smoothing (RMA). Volume Weighted RSI Pro applies the same structure but multiplies each bar's price change by its relative volume — the ratio of bar volume to the smoothed volume average — before the RMA smoothing step.
A bar with twice the average volume contributes twice as much to the gain or loss accumulation. A bar with half the average volume contributes half as much. This means the oscillator level reflects participation quality, not just price displacement. In practical terms: trending moves on rising volume push the oscillator to extremes faster. Pullbacks on thin volume barely move it. This creates a cleaner, more institutionally-aware reading than standard RSI.
The volume weighted mode can be toggled off to revert to standard RSI behavior for direct comparison.
2.2 Standard RSI reference line
A standard RSI line is plotted as a secondary reference in the same pane. Its color and width are configurable. Divergence between the volume weighted and standard lines reveals moments where volume is distorting the picture — a large move on thin participation that standard RSI registers but the VW version largely ignores, or vice versa.
2.3 Signal line
An EMA of the volume weighted RSI value acts as a signal line, similar in concept to the signal line in a MACD. The default length is 9. When the VW RSI crosses above the signal line, momentum is accelerating to the upside. When it crosses below, momentum is decelerating. Crossover markers appear at the exact cross point and can be toggled on or off. The signal line is most useful as a filter — only take a setup if the RSI and signal line agree on direction.
2.4 Money Flow Index
The MFI is calculated using typical price ((high + low + close) / 3) multiplied by volume, producing separate positive and negative money flow sums that are then converted to an index between 0 and 100. It shares the same scale as the VW RSI, making direct visual comparison possible.
The MFI responds differently from VW RSI because it weights price level rather than price change. Elevated MFI without elevated VW RSI suggests buying pressure at current levels without strong directional momentum. Both indicators in overbought territory simultaneously is a stronger condition than either alone.
3. Divergence detection
Divergence is detected by comparing pivots in the volume weighted RSI against pivots in price over a configurable lookback window
Bearish divergence: price makes a higher high while VW RSI makes a lower high. Momentum is weakening as price extends — a structural warning.
Bullish divergence: price makes a lower low while VW RSI makes a higher low. Selling pressure is exhausting even as price continues lower — a structural opportunity.
Sensitivity controls the pivot lookback window:
- High: 3-bar pivots. More signals, more false positives.
- Medium: 5-bar pivots. Balanced default.
- Low: 10-bar pivots. Fewer signals, higher quality.
When a divergence confirms, two things are drawn simultaneously. In the RSI pane: a solid line connecting the two pivot RSI values. On the price chart: a box spanning the full price range of the bars involved in the divergence. This makes the spatial relationship between the oscillator event and the price structure immediately visible.
The divergence box does not confirm a trade. It confirms that a structural disagreement between price and momentum occurred, and where on the chart it happened.
4. Liquidity levels
Liquidity levels are drawn on the price chart at confirmed swing highs and lows using a pivot detection engine. They represent the price levels where stop orders are likely to cluster — below swing lows for buy stops and above swing highs for sell stops. These are the levels that institutional participants use as targets when running liquidity.
Each level is a horizontal line that starts at the pivot bar and extends to the right in real time. The nearest level is fully opaque. Additional levels fade with distance from current price.
Each level displays a volume ratio label at its origin — the bar's volume at the time of pivot formation relative to the recent average. A level formed on 2.1x average volume is more institutionally significant than one formed on 0.7x volume. This context is part of reading the level.
When price closes through a level, it is removed immediately. The indicator repopulates from the remaining valid pivots. There is no manual cleanup and no visual clutter from levels that have already been swept.
The detail level setting controls how aggressively levels are detected:
- Minimal: wide pivot lookback, only the most significant structural highs and lows qualify.
- Standard: balanced detection, practical default across most timeframes.
- Full: tighter pivot lookback, more levels are identified.
The dashboard shows the nearest bull side level (BSL) and bear side level (SSL) by price, updated in real time.
5. OB/OS zone tracking
When the VW RSI enters overbought or oversold territory, the indicator begins accumulating the total volume transacted during that period. When price exits the zone, a filled box is drawn over the duration of the zone on the RSI pane.
The box includes a volume intensity label showing how the average volume inside the zone compared to the baseline average. A zone with 1.8x average volume indicates elevated institutional activity during the extreme reading — the extension was not just price drift but active participation. A zone below 1.0x is thin and less meaningful.
OB/OS zones are off by default.
6. Visual guide
RSI pane elements:
- Bright green/red RSI line — volume weighted RSI, color intensity increases toward OB/OS extremes
- Grey reference line — standard RSI, configurable color and width
- Gold line — signal line (EMA of VW RSI)
- Purple line — MFI
- Gradient glow fill — color intensity increases from midline toward the RSI line, creating a visual depth effect that reflects how extended the oscillator is
- OB/OS background — deepens in red or green when RSI is in extreme territory
- ▲ marker — RSI exiting oversold territory
- ▼ marker — RSI exiting overbought territory
- ✕ marker — RSI/signal line crossover (when enabled)
- Divergence line — solid colored line between the two pivot RSI values
Mainchart elements:
- Horizontal lines — liquidity levels, color and opacity by distance from current price
- Volume label at origin — volume ratio at pivot formation bar
- Divergence box — spans the full price range of the divergence bars
- Background color — subtle green above RSI 50, subtle red below
- Bar coloring — gradient intensity based on RSI position
7. Dashboard reference
The dashboard is positioned bottom right by default and updates on every bar close.
VW RSI — current VW RSI value, colored by position.
Vol ratio — current bar volume relative to the smoothed average. Values above 1.5x are highlighted in gold.
Zone — current RSI zone: overbought, oversold, or neutral.
Divergence — active divergence state if detected on the most recent pivot.
Signal — most recent signal condition.
— Liquidity —
Near BSL — nearest bull side liquidity level below current price.
Near SSL — nearest sell side liquidity level above current price.
Liq levels — count of active levels on each side.
Mode — VW (volume weighted) or STD (standard RSI mode).
Anonycryptous — indicator brand and version.
8. Alerts
Seven alert conditions are available:
- Bullish divergence: price lower low with VW RSI higher low confirmed.
- Bearish divergence: price higher high with VW RSI lower high confirmed.
- OS exit signal: RSI crosses back above the oversold level.
- OB exit signal: RSI crosses back below the overbought level.
- Any divergence: fires on either divergence type.
- Signal cross up: VW RSI crosses above the signal line.
- Signal cross down: VW RSI crosses below the signal line.
9. Settings reference
9.1 RSI settings
- RSI length: lookback period for the VW RSI calculation. Default 14.
- Volume smoothing: lookback for the volume moving average. Default 14.
- Volume weighted mode: toggle between volume weighted and standard RSI.
- Show signal line: toggle the EMA signal line.
- Signal line length: EMA period for the signal line. Default 9.
- Show signal crossovers: toggle ✕ markers at signal line crossovers. Default off.
- Show MFI line: toggle the Money Flow Index line.
- MFI length: lookback for MFI calculation. Default 14.
- MFI color: default brand purple.
- MFI line width: 1 to 4. Default 2.
- Overbought level: threshold for OB signals and zone tracking. Default 70.
- Oversold level: threshold for OS signals and zone tracking. Default 30.
9.2 Divergence
- Sensitivity: pivot lookback window — high (3), medium (5), low (10).
- Show bullish divergence.
- Show bearish divergence.
- Divergence box on mainchart: draws the price range box on the price chart.
- Div line width: stroke weight of divergence lines. 1 to 4. Default 2.
9.3 Liquidity levels
- Show liquidity levels: toggle all liquidity lines on the price chart.
- Detail level: minimal, standard, or full pivot sensitivity.
- Pivot lookback: swing detection window. Default 10.
- Max levels each side: maximum lines shown above and below current price. Default 2.
9.4 OB/OS zones
- Show OB/OS zones: toggle zone boxes in the RSI pane. Default off.
- Volume intensity label: show per-zone volume ratio label.
- Zone transparency: fill opacity for OB/OS zone boxes.
9.5 Visuals
- Bull color: primary bull color across all elements.
- Bear color: primary bear color across all elements.
- Bull div color: color for bullish divergence lines and box.
- Bear div color: color for bearish divergence lines and box.
- Std RSI color: color of the standard RSI reference line.
- Std RSI width: stroke weight of the reference line.
- Bar coloring: gradient bar color based on RSI position.
- Signal size: size of OB/OS exit markers — tiny, small, or normal.
- Show background color: subtle mainchart background based on RSI direction.
- Background transparency: opacity of the mainchart background.
9.6 Dashboard
- Show dashboard.
- Position: top left, top right, bottom left, or bottom right.
- Size: tiny, small, or normal.
10. How to use
10.1 Reading divergence
Divergence is not a signal to enter immediately. It is a warning that the relationship between momentum and price is breaking down. The most effective approach is to wait for the divergence box to appear on the price chart and then look for a second confirmation — a signal line crossover, an OB/OS exit marker, or a price reaction at a nearby liquidity level — before treating the setup as actionable.
Divergence on its own can persist for many bars before price reacts. Use it as directional context, not as a trigger.
10.2 Using liquidity levels
The liquidity lines show where the market has unfinished business — swing levels that formed on meaningful volume and have not yet been revisited. When the VW RSI is approaching overbought or showing bearish divergence and price is simultaneously approaching a sell-side liquidity level above, those two conditions are pointing at the same structural event from different angles.
The volume ratio label at each level is particularly useful. A level formed on 0.6x average volume is a weak level that may not generate a meaningful reaction. A level formed on 2.5x average volume suggests a move was initiated or defended with institutional size. Treat these differently.
10.3 Using VW RSI and MFI together
When both lines are in overbought territory simultaneously, the condition is stronger than either alone. VW RSI is extended on momentum. MFI confirms that money flow at current price levels is also elevated. The two calculations are independent — their agreement is not trivial.
When they diverge — VW RSI overbought while MFI is not — one of the components is not confirming the other. This does not mean the move is wrong, but the confluence is weaker.
10.4 OB/OS zone volume
When the zone volume label shows above 1.5x, the extreme RSI reading occurred during elevated participation. That tells you the extension was not just mechanical drift — there was active buying or selling pressure behind it. An exit from that zone after a high-volume OB/OS period carries more weight than an exit from a thin zone.
10.5 Illustrative bull scenario
Educational example only. Not a trading recommendation.
VW RSI drops into oversold on above-average volume. A bull-side liquidity level sits 0.8% below current price, formed three sessions ago on 2.1x volume. VW RSI begins making a higher low while price makes a lower low — bullish divergence is confirmed. A divergence box appears on the price chart. The RSI crosses back above the oversold level, firing a ▲ marker. The signal line crossover fires shortly after. Three separate conditions align: oversold exit, bullish divergence, and signal line confirmation.
10.6 Illustrative bear scenario
Educational example only. Not a trading recommendation.
Price rallies into a sell-side liquidity level visible on the chart at 2.2x formation volume. VW RSI is in overbought territory while MFI is also elevated. Price makes a higher high but VW RSI makes a lower high — bearish divergence is drawn on the RSI pane and a box appears on the price chart covering the divergence range. RSI crosses back below overbought. A ▼ marker fires. The setup has divergence, OB exit, and a liquidity level all at the same location.
11. Tips
The volume ratio in the dashboard is one of the most underused readings. A vol ratio below 0.7 means current price action is thin — institutions are not participating. Signals that fire on low volume ratio are less reliable than those that fire on 1.5x or above.
Signal line crossovers are most useful as filters. Toggle them on during active sessions to see where momentum flips are occurring relative to the rest of the setup. Too many crossovers on a given session usually means the market is ranging — reduce position size or wait for the RSI to expand toward an extreme before taking the cross seriously.
The standard RSI reference line reveals when volume weighting is changing the picture. If the VW RSI is significantly above the standard line, it means recent price movement was driven by above-average volume. If the VW RSI is below the standard line, price moved on thin participation — the market did not commit to the direction.
Liquidity level count in the dashboard tells you how many valid structural references remain. When the count drops — because levels are being swept — it means the market is clearing stops. That is meaningful context for the direction of the current move.
12. Disclaimer
This indicator is provided for educational and informational purposes only. Nothing in this document or in the indicator output constitutes financial advice or any form of recommendation. Trading financial instruments involves substantial risk of loss. Past performance is not indicative of future results. You may lose all of your invested capital.
Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator. Indicator
Anchored Value Distribution Oscillator (Zeiierman)█ Overview
Anchored Value Distribution Oscillator (Zeiierman) is a structure-driven oscillator that models price as a dynamic value distribution, then measures where price is positioned within that structure to reveal balance, imbalance, and shifting market conditions.
Instead of relying purely on price momentum, the indicator builds a rolling, volume-weighted distribution of price over time. From this structure, it extracts key reference levels such as the value center, high/low distribution bands, and peak activity zones. These are then used to normalize the price into a bounded oscillator.
Alongside the distribution, the script constructs an adaptive trailing anchor that reacts to structural shifts and volatility. The oscillator combines both the structural distribution and the adaptive anchor into a single positioning score, producing a contextual view of trend, extension, and balance.
The result is an oscillator that reflects not just direction, but where price sits within its evolving value landscape.
█ How It Works
⚪ Distribution Engine (Value Model)
The core of the indicator is a rolling value distribution built from price and volume.
Each bar contributes to a log-scaled price histogram, where:
price ranges are segmented into rows
volume is distributed across those rows
candle bodies and wicks are weighted differently
older data gradually decays over time
This produces a continuously updating view of:
Point of Control (vp)
Value High / Value Low (vh / vl)
Outer extremes (xh / xl)
Distribution center (cen)
Unlike a static volume profile, this model evolves with the market and adapts to both recent and historical activity.
⚪ Adaptive Anchor (Trend Engine)
On top of the distribution, the script builds an adaptive trend anchor (anc).
The anchor is derived from a structural base:
blended from the distribution center and peak activity
offset using volatility (ATR)
constrained to trail price in the active direction
The anchor flips direction when the price crosses it, and then trails using a volatility-adjusted distance.
This creates a structure-aware trend model that behaves similarly to a trailing stop, but is grounded in value distribution rather than raw price movement.
⚪ Normalized Positioning Model
The oscillator converts price into a normalized position within the distribution.
Two independent scores are calculated:
Position relative to the adaptive anchor (scAnc)
Position relative to the value distribution (scVp)
Each score maps price into a bounded range:
-50 → extreme downside
-25 - 20 → fair value
+50 → extreme upside
These scores are then combined into a single output using a weighted blend.
A confidence factor reduces the distribution score's contribution when it disagrees with the anchor, ensuring cleaner signals in conflicting conditions.
⚪ Smoothed Oscillator Output
The final oscillator (outAvg) is a smoothed combination of:
trend-aware positioning (anchor)
structure-aware positioning (distribution)
█ How to Use
⚪ Read Position Relative to Value
Use the oscillator to understand where the price sits within its value distribution:
Above 25 → price is positioned above fair value
Below -25 → price is positioned below fair value
Near extremes (±50) → price is extended relative to structure
This helps distinguish between:
continuation conditions
mean reversion zones
balanced market states
⚪ Follow the Adaptive Trend Anchor
The trailing anchor provides a clear trend reference:
Price above anchor → bullish regime
Price below anchor → bearish regime
Anchor flips → potential regime shift
█ Settings
Lookback – Controls how much historical data is used to build the value distribution. Higher values produce smoother structure, while lower values increase responsiveness.
Canvas Pad – Expands the distribution range to include more extreme price levels. Increasing this captures broader moves but reduces precision.
Rebuild Drift – Determines how much the distribution can drift before being recalculated. Lower values rebuild more frequently, higher values allow more continuity.
Signal Length – Controls the smoothing of the signal line. Higher values reduce noise but increase lag.
Profile Center Bias – Blends between the value distribution center and the point of control to define the structural base. Higher values anchor the trail to the broader distribution center, while lower values make it follow peak activity more closely.
Trail Acceleration – Controls how quickly the trailing stop tightens as the price accelerates. Higher values make the trail react more aggressively to impulsive moves, reducing lag during strong trends.
Max Trail Acceleration – Limits how much the acceleration can compress the trailing distance. Higher values allow the stop to tighten more during rapid expansion, while lower values keep behavior closer to the original, smoother trail.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicator
Ferrum Pressure Gauge [JOAT]Ferrum Pressure Gauge
Introduction
The Ferrum Pressure Gauge is an open-source composite momentum-volume oscillator that fuses three independent pressure measurements — volume-weighted momentum, price velocity with acceleration, and RSI-derived trend pressure — into a single index displayed in a separate pane. The index is paired with a signal (resonance) line, and the space between them is filled with an 8-layer gradient that visually communicates momentum intensity at a glance. Dynamic non-repainting zones adapt to recent range, divergence detection identifies price-vs-index fractures, and a precursor engine spots early reversal conditions before the main index confirms them.
Most momentum oscillators measure a single dimension — either price momentum or volume momentum, but rarely both in a unified way. FPG addresses this by weighting price changes by volume activity through a logarithmic volume impact function, then combining that with velocity, acceleration, and RSI into a composite reading. The result is an oscillator that responds to both the speed and the conviction behind price moves.
Core Engine: Fusion Reactor
The composite index is built from three sub-components:
1. Volume-Weighted Momentum (Net Flow)
Price changes are scaled by a logarithmic volume impact function that amplifies moves occurring on above-average volume while dampening moves on thin volume:
float vRatio = ta.sma(volume, 3) / ta.sma(volume, volPeriod)
float vwMom = pChange * math.log(1 + vRatio * volSens)
The logarithmic scaling prevents extreme volume spikes from producing absurdly large momentum readings while still giving meaningful weight to elevated volume. Fast and slow EMAs of this volume-weighted momentum produce a dual-speed flow, and their difference (smoothed) becomes the Net Flow component.
2. Price Velocity and Acceleration
Velocity measures the average price change per bar over the fast period. Acceleration is the change in velocity — it detects whether momentum is building or fading. These are combined with the volume ratio and scaled to produce the Flow Strength component.
3. RSI Trend Pressure
RSI is centered around zero (RSI - 50) and smoothed, providing a bounded measure of trend pressure that complements the unbounded volume-weighted components.
The three components are averaged and passed through a final WMA smoothing pass to produce the Pressure Index. A separate EMA of the index produces the Resonance (signal) line.
8-Layer Gradient Fill
The space between the Pressure Index and the Resonance Line is divided into 8 equal segments, each filled with progressively increasing transparency. This creates a smooth gradient that is dense and vivid when momentum is strong (large gap between index and signal) and thin and faded when momentum is weak. The gradient direction and color shift based on whether the index is positive or negative and whether it is in the upper or lower crucible zone.
Dynamic Crucible Boundaries (Non-Repainting Zones)
Rather than using fixed overbought/oversold levels, FPG calculates dynamic zones based on the recent range of the index:
float rHi = ta.highest(idx, zoneLen)
float rLo = ta.lowest(idx, zoneLen)
float volF = (rHi - rLo) / 2
float upperZ = math.min(60, 30 + volF * 0.3)
float lowerZ = math.max(-60, -30 - volF * 0.3)
The offset on highest/lowest ensures these zones never repaint. They widen during volatile periods and tighten during calm ones, adapting the overbought/oversold thresholds to current market conditions rather than using arbitrary fixed levels.
Volume Climax (Surge Detection)
The indicator percentile-ranks current volume against a configurable lookback (default 100 bars). When volume exceeds the 90th percentile, a surge is detected. The edge-triggered SURGE label fires only on the first bar of the spike, marking potential climax events where institutional-scale volume enters the market.
Exhaustion Index (Fatigue Meter)
When the Pressure Index dwells in an extreme zone (above upper or below lower boundary), a fatigue counter increments each bar. The fatigue percentage rises linearly toward 100% over a configurable horizon (default 20 bars). Fatigue is classified as NONE, MILD, BUILDING, or CRITICAL. Critical fatigue warns that momentum has been stretched for an extended period and reversal probability is elevated.
Fracture Detection (Divergence)
The indicator detects classic divergences between price and the Pressure Index:
Bullish Fracture: Price is falling (making lower lows) while the Pressure Index is rising — hidden buying pressure beneath falling prices.
Bearish Fracture: Price is rising (making higher highs) while the Pressure Index is falling — hidden selling pressure beneath rising prices.
Fracture signals are confirmed-bar only and placed outside the crucible boundaries to avoid overlapping with the main index plot.
Precursor Engine (Early Reversal Detection)
The precursor engine identifies conditions where the fast and slow flow lines cross while the main index is on the opposite side of zero:
IGNITION (Bullish Precursor): Fast flow crosses above slow flow while the Pressure Index is still negative — early bullish momentum building before the index turns positive.
QUENCH (Bearish Precursor): Fast flow crosses below slow flow while the Pressure Index is still positive — early bearish momentum building before the index turns negative.
These signals often lead the main index crossover by several bars, providing an early warning system.
Command Panel (Dashboard)
A 9-row monospace dashboard displays:
PRESSURE: Current Pressure Index value with color reflecting zone position
RESONANCE: Current signal line value
FLOW: Net flow delta (fast minus slow) — the raw momentum differential
FLUX: Volume ratio (short/long SMA) — values above 1.2 indicate elevated activity
CRUCIBLE: Current dynamic upper and lower zone boundaries
SURGE: Whether volume is currently in a climax state (ACTIVE / QUIET)
FATIGUE: Exhaustion classification with percentage (NONE / MILD / BUILDING / CRITICAL)
DELTA: Histogram value (index minus signal) — positive = bullish momentum, negative = bearish
Input Parameters
Fusion Reactor:
Ignition Cycle: Fast EMA period (default 8)
Sustain Cycle: Slow EMA period (default 21)
Flux Epoch: Volume SMA lookback (default 14)
Flux Amplifier: Volume impact scaling (default 1.5)
Forge Smoothing / Temper Pass: Composite and final smoothing
Resonance Layer:
Resonance Period: Signal line EMA (default 12)
Crucible Boundaries: Toggle dynamic zones
Boundary Lookback: Zone calculation window (default 50)
Volume Climax:
Enable Surge Detection / Surge Percentile / Surge Lookback
Exhaustion Index:
Enable Fatigue Meter / Fatigue Horizon: Bars in extreme zone before max fatigue
Fracture Detection:
Show Fractures / Fracture Lookback: Divergence detection parameters
Precursor Engine:
Show Precursors: Toggle early reversal signals
How to Use This Indicator
Use the Pressure Index crossing above/below the Resonance Line as a momentum confirmation signal — similar to MACD crossovers but volume-weighted.
Watch for IGNITION/QUENCH precursor signals — they often lead the main crossover by several bars and can provide earlier entries.
FRACTURE (divergence) signals are among the most reliable warnings of trend exhaustion. A bullish fracture during a downtrend suggests hidden accumulation.
Monitor the Fatigue meter when the index is in an extreme zone. CRITICAL fatigue combined with a fracture signal is a high-probability reversal setup.
SURGE markers highlight institutional-scale volume events. A surge occurring at a crucible boundary often marks a climax reversal point.
The 8-layer gradient provides instant visual feedback — dense, vivid fills indicate strong momentum conviction; thin, faded fills indicate weakening momentum.
Limitations
Like all momentum oscillators, FPG is lagging — it confirms momentum after it has begun, not before.
Divergence (fracture) signals can persist for extended periods before price reverses. They indicate weakening momentum, not guaranteed reversals.
Precursor signals are early by design and therefore have a higher false-positive rate than confirmed crossover signals.
Volume-weighted calculations are less reliable on instruments with inconsistent or unreported volume data.
The Fatigue meter is a heuristic based on time-in-zone, not a statistical probability. Extended trends can maintain extreme readings longer than expected.
Dynamic zones adapt to recent range but may lag during sudden regime changes.
Originality Statement
This indicator is original in its composite fusion approach. While MACD, RSI, and volume analysis are established concepts individually, FPG is justified because:
The logarithmic volume-weighted momentum calculation provides a unique fusion of price change and volume conviction that differs from standard MACD or OBV approaches.
Three independent sub-components (volume-weighted flow, velocity/acceleration, RSI pressure) are composited into a single index, providing multi-dimensional momentum measurement.
The 8-layer gradient fill between index and signal line creates a visual momentum density map not found in standard oscillators.
Dynamic non-repainting crucible boundaries adapt overbought/oversold levels to current conditions rather than using fixed thresholds.
The Exhaustion Index tracks time-in-extreme-zone as a fatigue metric, adding a temporal dimension to momentum analysis.
The Precursor Engine identifies early flow crossovers while the main index is on the opposite side, providing leading signals ahead of the main crossover.
Volume Climax detection via percentile ranking integrates institutional-scale volume event identification directly into the oscillator.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Momentum oscillators describe the current state of price momentum but do not predict future price direction. Overbought conditions can persist in strong trends, and oversold conditions can deepen in bear markets. Always use proper risk management and conduct your own analysis before making trading decisions. The author is not responsible for any losses incurred from using this tool.
-Made with passion by officialjackofalltrades
Indicator
Indicator
Ultimate Scalping Tool[BullByte]Overview
The Ultimate Scalping Tool is an open-source PulseWire indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators.
Core Components
Quantum Flux Candle (QFC) Construction
The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own.
Oscillator Normalization & Adaptive Weights
The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale).
Trend/Momentum/Volume/Volatility Fusion
Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength.
Signal Classification
The script interprets the QFC oscillator to label trades. For example:
• Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend.
• Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal.
• Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow.
These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion).
Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX)
Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.)
Dashboard Metrics & Color Logic
The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences.
1. Dashboard Layout & Customization
Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input.
Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input.
Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script.
2. Key Metrics Displayed
The dashboard presents critical trading metrics in a structured table format:
Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) .
Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds.
Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator.
Basic & Advanced Signals:
Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade).
Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts.
RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions.
HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter.
VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it.
ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red).
Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom).
Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**.
3. Filters Status Panel
A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals:
- DI Reversal Filter: On/Off (confirms reversals before generating signals).
- Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility).
- Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility).
- Early Signal: On/Off (enables early momentum-based signals).
- Leading HTF Filter: On/Off (applies higher timeframe trend confirmation).
4. Visual Enhancements
Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation.
Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends.
Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator.
How It(QFC) Differs from Traditional Indicators
Quantum Flux Candle (QFC) Versus Heikin-Ashi
Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart.
Versus Standard Oscillators
Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one.
Signal Style
Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code.
Key Term Definitions
• Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting.
• Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade.
• Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended.
What is the Flux MA?
The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish.
How it’s calculated (Flux MA):
1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0).
2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods).
3.The result is rescaled back to the oscillator’s original range for plotting.
Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts.
Color of the Flux Candle
The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means:
• Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward.
• Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward.
• Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long.
• Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short.
The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions.
How to Trade the Flux MA with Respect to the Candle
Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide:
1. Identify the Trend Direction
• Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum.
• Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum.
The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure.
2. Interpret Candle Colors for Trade Signals
• Green Candle : General bullish momentum. Consider entering or holding a long position.
• Red Candle : General bearish momentum. Consider entering or holding a short position.
• Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade.
• Purple Candle : A strong sell signal. This is an ideal time to enter a short trade.
3. Enter Trades Based on Crossovers and Colors
• Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long.
• Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short.
4. Exit Trades
• Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing.
• Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing.
•You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal).
5. Use Additional Confirmation
To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example:
•A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal.
•A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting.
Practical Example
Imagine you’re scalping a cryptocurrency:
• Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA.
• Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA.
Market Presets and Adaptation
This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type.
Usage Guidelines
• Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings.
• Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs.
• Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability.
• Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger.
• Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands.
Background Shading
To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark):
Neutral (Gray)
When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands.
Bullish (Green)
As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight.
Bearish (Red)
Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30.
By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions.
The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference.
Disclaimer
No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders.
Good luck!
- BullByte
Indicator
Aggressor Volume ImbalanceAggressor volume imbalance represents the ratio between market aggressor buy volume (market buy orders) and market aggressor sell volume (market sell orders). This ratio enables traders to evaluate the interest of market aggressors and whether aggressive market activity favours the price's direction.
Analysing aggressor volume is critical in understanding market sentiment and aids in identifying shifts in momentum and potential exhaustion points in the market. When the aggressor buy volume significantly exceeds the sell volume, it typically indicates strong buying interest, driving prices higher if the offer-side liquidity cannot contain it, and vice versa.
How it Works
The imbalance ratio is calculated as follows, according to the selected session timeframe (see settings):
imbalance := ((buyVolumeAccumulator - sellVolumeAccumulator)
/ (buyVolumeAccumulator + sellVolumeAccumulator)) * 100
Aggressive Volume Imbalance uses lower timeframe historical data to calculate Historical Aggressor Volume Imbalances, while live data is used for live aggressor volume imbalances.
How to Use It
You can set the indicator to use any historical data timeframe you prefer. However, it is highly recommended to use lower timeframes (e.g., 1 second), as the lower the timeframe, the more granular the data.
The indicator resets to 0% whenever a new session timeframe begins (e.g., a new day) and calculates new values for the rest of the session. This can be configured in the settings. Indicator
Indicator
Time Relative Volume Oscillator | Flux Charts💎 GENERAL OVERVIEW
The relative volume indicator aims to improve upon the default existing relative volume indicator by comparing volumes between previous trading sessions rather than previous candles. As such, it works best on lower time frames as there is more data to compare with. The purpose of the indicator is to show how the current bar’s volume compares to the volume at the same time on previous trading days.
There exists a couple different modes and combinations that each provide a different perspective on the trading volume.
Oscillator mode
Oscillator mode starts with the same relative volume calculation, but adds two EMAs of different lengths that diverge and converge. Like the MACD, it plots the difference as a histogram. This functions as an easy way to view when relative volume is increasing or decreasing.
How to use:
The oscillator oscillates between -1 and 1. It moves along with volume direction, so this mode can be used to view the current volume direction in a lagging fashion. In oscillating markets, this indicator can give an idea of how buy/sell volume is moving and where it currently stands. Small arrows mark where reversals are predicted, when the histogram crosses over 0. The biggest pitfall of this mode is that, in a straight trending market, the two EMAs converge and it gives a false reversal signal.
Delta mode
Delta volume mode is a step up from the buy/sell volume mode. It separates both sides into the top and bottom, while also displaying the actual volume behind it in a semi transparent overlay. The best feature, however, is the delta oscillator. This oscillator fluctuates depending on how buy/sell volume is changing and plots bullish/bearish labels when the dominant side (bullish/bearish) changes. The signals, while a bit common, can sometimes dictate large direction changes, started by a dominant volume switch.
On top of different display modes, there is also one more volume mode: buy/sell volume. Instead of only showing the total volume and relative volume, it calculates and separates buying and selling volume.
This volume mode displays differently in all three viewing modes, but the basic principle is the same. It adds a vital piece of information to the chart without adding clutter. The calculation for buy/sell volume uses the candle wicks and body to compare bullish and bearish movement.
Classic mode
Classic mode takes the default volume indicator and improves upon it by also displaying the relative volume on top of the actual volume. Relative volume is calculated similarly between the three display modes: simply by comparing the current bar’s volume to the volume at the same time during previous trading days. Classic mode displays this “relative volume” as well as a simple EMA over top of the actual trading volume.
Originality
The script improves upon the existing relative volume indicator by using previous trading days rather than previous candles to generate the relative volume. On top of that, the calculation methods are unique, using different formulas like variations of the sigmoid function to smooth noise. The main issue this script aims to fix is that towards the start or end of the day relative volume indicators all see spikes as volume grows into close. The new relative volume calculations fix this problem and show what the “true” relative volume is because they compare the current bar to the “same” bar on previous trading sessions.
Indicator
Relative Volume Intensity Control Chart***NOTE THE VOLUME OSCILATOR PROVIDED AT THE BOTTOM IS FOR COMPARSION AND IS NOT PART OF THE INDICATOR****
This indicator provides a comprehensive and a nuanced representation of volume relative to historical volume. The indicator aims to provide insights into the relative intensity of trading volume compared to historical data. It calculates two types of relative volume intensity: mean volume intensity and point volume intensity. The final indicator, "Relative_volume_intensity," is a combination of these two.
1. Point Volume Intensity:
Calculate the ratio of the current volume to the corresponding SMA from the previous period for each of the periods.
Normalize each ratio by dividing it by the corresponding normalized SMA.
Assign weights to each normalized ratio and calculate the point volume intensity.
Point volume intensity calculates the intensity of the current trading volume at a specific point in time relative to its historical moving average. It assesses how much the current volume deviates from the previous historical average for different lookback periods(current volume/ average volume of previous n days). The calculation involves dividing the current volume by the corresponding previous historical moving average and normalizing the result. The purpose of point volume intensity is to capture the immediate impact of the current volume on the overall intensity, providing a more dynamic and responsive measure.
2. Mean Volume Intensity:
Calculate the simple moving averages (SMA) of the volume for different periods (5, 8, 13, 21, 34, 55, 89, 144).
Normalize each SMA by dividing it by the SMA with the longest lookback (144).
Assign weights to each normalized SMA and calculate the mean volume intensity.
Mean volume intensity, on the other hand, takes a broader approach by looking at the mean (average) of various historical moving averages of volume. Instead of focusing on the current volume alone, it considers the historical average intensity over multiple periods. The purpose of mean volume intensity is to provide a smoother and more stable representation of the overall historical volume intensity. It helps filter out short-term fluctuations and provides a more comprehensive view of how the current volume compares to historical norms.
Purpose of Both:
Both point volume intensity and mean volume intensity contribute to the calculation of the final indicator, "Relative_volume_intensity." The idea is to combine these two perspectives to create a more comprehensive measure of relative volume intensity. By assigning equal weights to both components and taking a balanced approach, the indicator aims to capture both short-term spikes in volume and trends in volume intensity over a relatively extended periods.
In calculation of both point volume intensity and mean volume intensity, shorter-term moving averages (e.g., 5, 8) have higher weights, suggesting a greater emphasis on recent volume behavior.
Visualization:
The script then calculates the mean and standard deviation of the relative volume intensity over a specified lookback length.
Plot lines for the centerline (mean), upper and lower 3 standard deviations, upper and lower 2 standard deviations, and upper and lower 1 standard deviation.
Plot the relative volume intensity as a step line with diamond markers.
It is displayed like a control chart where we can see how the relative intensity is behaving when compared to longer historical lookback period. Indicator
RSI-Volume Oscillator Quick Scalping By Akhilesh PatelTitle: RSI-Volume Oscillator Quick Scalping Indicator
Description:
The "RSI-Volume Oscillator Quick Scalping" is a powerful and versatile custom indicator designed for traders who engage in scalping strategies. This indicator combines the Relative Strength Index (RSI) with a Volume Oscillator to provide valuable insights into momentum and volume dynamics in the market. Traders can also select their preferred moving average types (SMA, EMA, or HMA) to further customize the indicator's behavior.
Key Features:
RSI and Volume Oscillator Fusion: The indicator blends the RSI and a custom Volume Oscillator to offer a comprehensive view of both price momentum and volume trends. This integration provides valuable signals for quick scalping opportunities.
Customizable Moving Averages: Traders can choose from three popular moving average types (SMA, EMA, or HMA) for further customization. This flexibility allows users to align the indicator with their preferred trading strategies.
Clear Visualization: The Combined RSI-Volume Oscillator is plotted as a solid blue line, while the three selected moving averages are represented by orange, purple, and green lines, respectively. The zero line, overbought, and oversold levels for RSI are also indicated for easy reference.
Quick Scalping Signals: The indicator helps traders spot potential buy and sell signals efficiently, making it ideal for quick scalping strategies in rapidly moving markets.
Usage Instructions:
Customize the indicator by selecting your preferred RSI length, Volume Oscillator length, and moving average type (SMA, EMA, or HMA).
Observe the Combined RSI-Volume Oscillator and moving averages for potential entry and exit points.
Look for crossovers between the Combined RSI-Volume Oscillator and the selected moving averages for buy and sell signals.
The overbought (70) and oversold (30) levels for RSI can be used to identify potential reversal points.
Important Note:
Test the indicator on historical data and demo accounts before using it in live trading to ensure it aligns with your trading strategy.
Understand that no indicator guarantees profits, and trading involves risk. Always use proper risk management and discipline when executing trades.
Overall, the "RSI-Volume Oscillator Quick Scalping" indicator is a valuable addition to any scalper's toolkit, providing comprehensive insights into momentum and volume dynamics to enhance trading decisions. Happy scalping! Indicator
Normalized Elastic Volume Oscillator (MTF)The Multi-Timeframe Normalized Elastic Volume Oscillator combines volume analysis with multiple timeframe analysis. It provides traders with valuable insights into volume dynamics across different timeframes, helping to identify trends, potential reversals, and overbought/oversold conditions.
When using the Multi-Timeframe Normalized Elastic Volume Oscillator, consider the following guidelines:
Understanding Input Parameters : The indicator offers customizable input parameters to suit your trading preferences. You can adjust the EMA length (emaLength), scaling factor (scalingFactor), volume weighting option (volumeWeighting), and select a higher timeframe for analysis (higherTF). Experiment with these parameters to optimize the indicator for your trading strategy.
Multiple Timeframe Analysis : The Multi-Timeframe Normalized Elastic Volume Oscillator allows you to analyze volume dynamics on both the current timeframe and a higher timeframe. By comparing volume behavior across different timeframes, you gain a broader perspective on market trends and the strength of volume deviations. The higher timeframe analysis provides additional confirmation and helps identify more significant market shifts.
Normalized Values : The indicator normalizes the volume deviations on both timeframes to a consistent scale between -0.25 and 0.75. This normalization makes it easier to compare and interpret the oscillator's readings across different assets and timeframes. Positive values indicate bullish volume behavior, while negative values suggest bearish volume behavior.
Interpreting the Indicator : Pay attention to the position of the Multi-Timeframe Normalized Elastic Volume Oscillator lines relative to the zero line on both timeframes. Positive values on either timeframe indicate a bullish bias, while negative values suggest a bearish bias. The distance of the oscillator from the zero line reflects the strength of the volume deviation. Extreme readings, both positive and negative, may indicate overbought or oversold conditions, potentially signaling a trend reversal or exhaustion.
Combining with Other Indicators : For more robust trading decisions, consider combining the Multi-Timeframe Normalized Elastic Volume Oscillator with other technical analysis tools. This could include trend indicators, support/resistance levels, or candlestick patterns. By incorporating multiple indicators, you gain additional confirmation and increase the reliability of your trading signals.
Remember that the Multi-Timeframe Normalized Elastic Volume Oscillator is a valuable tool, but it should not be used in isolation. Consider other factors such as price action, market context, and fundamental analysis to make well-informed trading decisions. Additionally, practice proper risk management and exercise caution when executing trades.
By utilizing the Multi-Timeframe Normalized Elastic Volume Oscillator, you gain a comprehensive view of volume dynamics across different timeframes. This knowledge can help you identify potential market trends, confirm trading signals, and improve the timing of your trades.
Take time to familiarize yourself with the indicator and conduct thorough testing on historical data. This will help you gain confidence in its effectiveness and align it with your trading strategy. With experience and continuous evaluation, you can harness the power of the Multi-Timeframe Normalized Elastic Volume Oscillator to make informed trading decisions. Indicator
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Volume Records + AlertContents
Overall Introduction
Settings menu parameters
Usage
How to use alerts
Limits
Overall Introduction
This indicator is a "volume analysis" tool for confirming the direction and strength of price trend and spotting trend reversals. This tool consists of two parts:
1- The colored graph is a custom volume oscillator which shows the relative changes in volume.
The darkening of the color of the bars is a sign of increasing volume.
2- Triangular labels that show trading volume records over different time periods based on the absolute values of the volume.
By creating an alert, you can be notified of new trading volume records. These records are:
Highest / lowest volume in one year,
Highest / lowest volume in six month
Highest / lowest volume in three month
Highest / lowest volume in one month
Highest / lowest volume in one week
Settings menu parameters
{Short Length} =>
The fast volume MA of the Volume Oscillator.
{Long Length} =>
The slow volume MA of the Volume Oscillator.
{Visual Parameters} =>
Parameters to personalize the appearance of the indicator.
{Alert Conditions Part 01: Highest Records ⏰ } =>
Parameters to customize the alert.
{Alert Conditions Part 02: Lowest Records ⏰ } =>
Parameters to customize the alert.
Usage
This indicator is a "volume analysis" tool for confirming the direction and strength of price trend and spotting trend reversals.
What Is Volume Analysis?
Volume analysis involves examining relative or absolute changes in an asset's trading volume in order to make inferences about future price movements.
A significant price increase along with a significant volume increase, for example, could be a credible sign of a continued bullish trend or a bullish reversal.
The gradual darkening of the bars is a sign of the strength of the trend.
Volume can be an indicator of market strength, as rising markets on increasing volume are typically viewed as strong and healthy.
How to use alerts
Note that by creating an alert, an instance of the indicator, with all your settings, will be activated on the site's server and alerts will be triggered by it.
After that, changing the indicator settings on the chart will no longer affect the alert.
Open the settings window and select the alert conditions as you wish
Click the Create Alert button (or press the A key while holding down the ALT key)
In the Condition section, select the name of the indicator.
Make the rest of the settings as you wish.
Finally, click on the Create button.
It's finished. After a few moments, your alert will be added to the Alerts menu.
Limits
The labels are displayed after the bars close.
Labels are displayed for the last 10,000 bars.
Indicator
Percentage Volume Oscillator (PVO)The Percentage Volume Oscillator (PVO) is a momentum oscillator for volume. The PVO measures the difference between two volume-based moving averages as a percentage of the larger moving average. As with MACD and the Percentage Price Oscillator (PPO), it is shown with a signal line, a histogram and a centerline. The PVO is positive when the shorter volume EMA is above the longer volume EMA and negative when the shorter volume EMA is below. This indicator can be used to define the ups and downs for volume, which can then be used to confirm or refute other signals. Typically, a breakout or support break is validated when the PVO is rising or positive.
Generally speaking, volume is above average when the PVO is positive and below average when the PVO is negative. A negative and rising PVO indicates that volume levels are increasing. A positive and falling PVO indicates that volume levels are decreasing. Chartists can use this information to confirm or refute movements on the price chart.
Even though the PVO is based on a momentum oscillator formula, it is important to remember that moving averages lag. A 12-day EMA include 12 days of volume data, with newer data weighted more heavily. A 26-day EMA lags even more because it contains 26 days of data. This means that the PVO(12,26,9) can sometimes be out of sync with price action.
The Percentage Volume Oscillator (PVO) is a momentum indicator applied to volume. This oscillator can be quite choppy due to the fact that volume doesn't trend. Bullish and bearish divergences are not well suited for the PVO. Instead, chartists would be better off looking for signs of increasing volume with a move into positive territory and signs of decreasing volume with a move into negative territory. Increasing volume can validate a support or resistance break. Similarly, a surge or significant support break on low volume may be less robust. As with all technical indicators, it is important to use the Percentage Volume Oscillator (PVO) in conjunction with other aspects of technical analysis, such as chart patterns and momentum oscillators. Indicator
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