Chaikin Oscillator with EMA and AlertsOverview
This indicator plots the classic Chaikin Oscillator along with an EMA overlay to help identify changes in accumulation or distribution momentum. It includes visual markers and built-in alerts for key crossover events such as crossing the zero line and crossing above or below the Chaikin EMA.
Concepts
The Chaikin Oscillator is calculated as the difference between two EMAs of Accumulation/Distribution (A/D) volume. It is used to measure the momentum behind buying and selling pressure. An EMA is applied to the oscillator itself to smooth out signals and provide an additional layer of trend confirmation. Crossovers above or below zero, and above or below the EMA, are interpreted as potential signals of market sentiment shifts.
How to Use the Indicator
Apply the indicator to any chart and select your preferred short, long, and EMA lengths. The script will plot the Chaikin Oscillator in teal and its EMA in red. Triangles and labels will appear on the chart when the oscillator crosses above or below the zero line, or when it crosses its EMA. Green triangles indicate bullish zero-line crossovers, while red triangles indicate bearish ones. Lime and maroon labels signal EMA crossovers. Use these signals to assess momentum shifts and potential entry or exit points.
Interpretation
When the Chaikin Oscillator is above zero and rising, it suggests strong buying pressure. When it is below zero and falling, it suggests strong selling pressure. A crossover above the EMA may indicate an emerging bullish trend, while a crossover below the EMA may suggest increasing bearish momentum. Using both the zero line and EMA crossover together helps filter noise and improves reliability of momentum-based signals.
Notes
The indicator includes four alert conditions that can be enabled in TradingView to notify you of Chaikin Oscillator crossovers. It works across all asset classes and timeframes. This tool is especially useful for identifying momentum shifts ahead of price moves and for confirming volume-based signals in trend continuation or reversal scenarios. Adjust input lengths to suit your trading style or the volatility of the instrument you are analyzing.
Volume
Chaikin Oscillator Multi-Timeframe BiasOverview
Chaikin Oscillator Multi-Timeframe Bias is an indicator designed to help traders align with institutional buying and selling activity by analyzing Chaikin Oscillator signals across two timeframes—a higher timeframe (HTF) for trend bias and a lower timeframe (LTF) for timing. This dual-confirmation model helps traders avoid false breakouts and trade in sync with market momentum and accumulation or distribution dynamics.
Core Concepts
The Chaikin Oscillator measures the momentum of accumulation and distribution based on price and volume. Institutional traders typically accumulate slowly and steadily, and the Chaikin Oscillator helps reveal this pattern. Multi-timeframe analysis confirms whether short-term price action supports the longer-term trend. This indicator applies a smoothing EMA to each Chaikin Oscillator to help confirm direction and reduce noise.
How to Use the Indicator
Start by selecting your timeframes. The higher timeframe, set by default to Daily, establishes the broader directional bias. The lower timeframe, defaulted to 30 minutes, identifies short-term momentum confirmation. The indicator displays one of five labels: CALL Bias, CALL Wait, PUT Bias, PUT Wait, or NEUTRAL. CALL Bias means both HTF and LTF are bullish, signaling a potential opportunity for long or call trades. CALL Wait indicates that the HTF is bullish, but the LTF hasn’t confirmed yet. PUT Bias signals bearish alignment in both HTF and LTF, while PUT Wait indicates HTF is bearish and LTF has not yet confirmed. NEUTRAL means there is no alignment between timeframes and directional trades are not advised.
Interpretation
When the Chaikin Oscillator is above zero and also above its EMA, this indicates bullish momentum and accumulation. When the oscillator is below zero and below its EMA, it suggests bearish momentum and distribution. Bias labels identify when both timeframes are aligned for a higher-probability directional setup. When a “Wait” label appears, it means one timeframe has confirmed bias but the other has not, suggesting the trader should monitor closely but delay entry.
Notes
This indicator includes alerts for both CALL and PUT bias confirmation when both timeframes are aligned. It works on all asset classes, including stocks, ETFs, cryptocurrencies, and futures. Timeframes are fully customizable, and users may explore combinations such as 1D and 1H, or 4H and 15M depending on their strategy. For best results, consider pairing this tool with volume, volatility, or price action analysis.
CVD Divergence & Volume ProfileThis Pine Script indicator, named "CVD Divergence & Volume Profile," is designed to identify potential trading opportunities by combining Cumulative Volume Delta (CVD) divergence with Volume Profile levels and an optional Simple Moving Average (SMA) trend filter. It plots signals directly on the price chart.
Here's a breakdown of what each component does and how to potentially trade with it:
1. Cumulative Volume Delta (CVD) Divergence
What it does: CVD measures the cumulative difference between buying and selling volume. A rising CVD indicates more buying pressure, while a falling CVD indicates more selling pressure. Divergence occurs when the price action contradicts the CVD's direction, suggesting a potential shift in momentum or trend reversal.
Bearish Divergence: The price makes a higher high, but the CVD makes a lower high (or fails to make a new high). This suggests that despite the price increasing, the underlying buying pressure is weakening.
Bullish Divergence: The price makes a lower low, but the CVD makes a higher low (or fails to make a new low). This suggests that despite the price decreasing, the underlying selling pressure is weakening.
Visualization:
Red triangle pointing down on the chart indicates a Bearish Divergence signal.
Green triangle pointing up on the chart indicates a Bullish Divergence signal.
2. Volume Profile Levels (VAH, VAL, POC)
What it does: The indicator calculates simplified Volume Profile levels over a user-defined vp_range (number of candles). These levels represent areas where significant trading activity has occurred:
VAH (Value Area High): The upper boundary of the "Value Area," where 70% of the volume traded.
VAL (Value Area Low): The lower boundary of the "Value Area," where 70% of the volume traded.
POC (Point of Control): The price level within the vp_range where the most volume was traded.
Significance: These levels often act as significant support and resistance zones.
Visualization:
Orange lines for VAH and VAL.
Yellow line for POC.
Zone Proximity (zone_thresh): The indicator only generates divergence signals if the current close price is within a specified percentage zone_thresh of either VAH, VAL, or POC. This filters signals to areas of high liquidity and potential turning points.
3. Trend Filter (SMA)
What it does: This is an optional filter (use_trend_filter) that uses a Simple Moving Average (sma_period, default 200).
Significance: It helps ensure that divergence signals are traded in alignment with the broader market trend, potentially increasing their reliability.
For long signals (bullish divergence), the price (close) must be above the SMA (indicating an uptrend).
For short signals (bearish divergence), the price (close) must be below the SMA (indicating a downtrend).
Visualization: A blue line on the chart representing the SMA.
How to Trade with It (Potential Strategies)
The indicator aims to provide high-probability entry points by combining multiple confirming factors. Here's how you might interpret and trade the signals:
Identify Divergence: Look for the triangle signals on your chart (red for bearish, green for bullish).
Confirm Proximity to Volume Profile Levels: The signal itself confirms that the price is near a significant Volume Profile level (VAH, VAL, or POC). These are areas where price often reacts.
Bullish Signal (Green Triangle): This suggests buying momentum is returning after a price decline, especially when the price is near VAL or POC, which might act as support.
Bearish Signal (Red Triangle): This suggests selling momentum is increasing after a price rally, especially when the price is near VAH or POC, which might act as resistance.
Check Trend Alignment (SMA Filter):
For a long trade: You would ideally want to see a green triangle (bullish divergence) while the price is above the blue SMA line. This indicates a bullish divergence confirming a potential bounce within an existing uptrend.
For a short trade: You would ideally want to see a red triangle (bearish divergence) while the price is below the blue SMA line. This indicates a bearish divergence confirming a potential rejection within an existing downtrend.
Entry and Exit Considerations:
Entry: Consider entering a trade on the candle where the signal appears, or on the subsequent candle for confirmation.
Stop Loss: For a long trade, a logical stop-loss could be placed below the lowest point of the divergence, or below the VAL/POC if the signal occurred near it. For a short trade, above the highest point of the divergence or VAH/POC.
Take Profit: Targets could be set at the opposite Volume Profile level, previous swing highs/lows, or using a fixed risk-reward ratio.
Example Trading Scenario:
Long Trade: You see a green triangle (bullish divergence) printed on the chart. You notice the price is currently at the VAL (orange line). You check the blue SMA line and confirm that the price is above it (uptrend). This confluence of factors (bullish divergence, support at VAL, and uptrend) provides a strong potential long entry signal. You might enter, place your stop loss just below VAL, and target VAH or the next resistance level.
Short Trade: You see a red triangle (bearish divergence). The price is at the VAH (orange line). The price is also below the blue SMA line (downtrend). This suggests a potential short entry. You might enter, place your stop loss just above VAH, and target VAL or the next support level.
[Kpt-Ahab] Poor Mans Orderflow SimulatorScript Description – Poor Mans Orderflow Simulator
Purpose of the Script
This script simulates a simplified order flow approach ("Poor Man's Orderflow") without access to actual Bid/Ask data. The goal is to detect, quantify, and visualize patterns such as absorption, impulsive moves, and structured re-entry behaviors.
Calculation Logic
Absorption Candles
A candle is classified as "absorption" if:
The ratio of body size to full candle range is below a defined threshold,
Volume is significantly higher than the average of the last N periods,
The candle direction is negative (for long absorption) or positive (for short absorption).
These conditions define a candle with high activity but minimal price movement in the respective direction.
Impulse Candles
A candle is classified as "impulse" if:
The body-to-range ratio is high (indicating a strong directional move),
Volume exceeds the average significantly,
The price closes in the direction of the candle body (bullish or bearish).
Additionally, the average range of previous candles serves as a minimum benchmark for the impulse.
Cluster Detection
A cluster is detected when:
A minimum number of absorption candles is counted within a defined lookback period,
Either the long or short version of the absorption logic is used,
The result is a binary condition: cluster active or inactive.
Entry Signals (Re-entry)
An entry signal is generated when:
One or more absorption candles occurred in the last two bars,
A pullback against the direction of absorption occurs,
The current candle shows a directional move confirmed by a close in the expected direction.
These re-entry signals are evaluated separately for long and short scenarios.
Cluster-Confirmed Signals
A separate signal is generated when a valid re-entry setup occurs while a cluster is active. This represents a combined logic condition.
Alert Logic
The script provides a multi-layer alert framework:
Signal selection (Alertmode):
The user defines which signal type should trigger an alert (e.g. re-entry only, cluster only, combination, or impulse).
Optional filter (Filtermode):
A secondary filter limits alerts to cases where an additional condition (e.g. absorption cluster) is active.
Signal output:
As a simple binary value (+1 / –1) for classic alerts,
Or via an encoded Multibit signal, compatible with other modules in the djmad ecosystem.
These alerts are intended for integration with external systems or for use within platform-native visual or automation features.
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \
\Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\Calculation\
\
\ \Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\Interpretation\
\
\ \Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\Usage Notes & Warnings\
\
\ \Never Use DI in Isolation\
It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \Parameter Selection\
• \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing.
• \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Volume By FOBOSThis indicator visualizes the aggregated trading volume of a selected cryptocurrency asset across multiple leading exchanges. It consolidates volume data into a single, easy-to-read chart.
Indicator Features:
Volume Aggregation: Displays cumulative trading volume from user-defined exchanges (1 to 40 exchanges).
Dynamic Visualization: Volume columns colored dynamically based on price direction (green for rising prices, red for falling).
24-hour Average Volume: Optional line displaying the average trading volume over the past 24 hours, facilitating quick volume comparisons.
Automated Volume Formatting: Clearly presents volume figures with automatic formatting for readability (in thousands or millions).
Multi-Timeframe Support: Automatically adapts calculations to the current chart timeframe for accurate average volume computation.
User Settings:
Adjustable number of exchanges (1 to 40).
Toggle visibility of the 24-hour average volume line.
Note:
This indicator is designed solely for informational purposes and does not provide trade recommendations or signals.
Enhanced Zones with Volume StrengthEnhanced Zones with Volume Strength
Your reliable visual guide to market zones — now with Multi-Timeframe (MTF) power!
What you get:
Clear visual zones on your chart — color-coded boxes that highlight important price areas.
Blue Boxes for neutral zones — easy to spot areas of indecision or balance.
Gray Boxes to show normal volume conditions, giving you context without clutter.
Green Boxes highlighting bullish zones where strength is showing.
Red Boxes marking bearish zones where weakness might be in play.
Multi-Timeframe Support:
Seamlessly visualize these zones from higher timeframes directly on your current chart for a bigger-picture view, helping you make smarter trading decisions.
How to use it:
Adjust the box width (in bars) to fit your trading style and timeframe.
Customize colors and opacity to suit your chart theme.
Toggle neutral blue and gray volume boxes on/off to focus on what matters most to you.
Set the maximum number of boxes to keep your chart clean and performant.
Why you’ll love it:
This indicator cuts through the noise by visually marking zones where volume and price action matter the most — without overwhelming your chart. The MTF feature means you’re always aligned with higher timeframe trends without switching views.
Pro tip:
Use these boxes as dynamic support/resistance areas or to confirm trade setups alongside your favorite indicators.
No complicated formulas here, just crisp, actionable visuals designed for clarity and confidence.
Volume Spike Alert & Overlay"Volume Spike Alert & Overlay" highlights unusually high trading volume on a chart. It calculates whether the current volume exceeds a user-defined percentage above the historical average and triggers an alert if it does. The information is also displayed in a customizable on-screen table.
What It Does
Monitors volume for each bar and compares it to an average over a user-defined lookback period.
Supports multiple smoothing methods (SMA, EMA, WMA, RMA) for calculating the average volume.
Triggers an alert when current volume exceeds the threshold percentage above the average.
Displays a table on the chart with:
Current Volume
Average Volume
Threshold Percentage
Optional empty row for spacing/formatting
How It Works
User Inputs:
lookbackPeriods: Number of bars used to calculate the average volume.
thresholdPercent: % above the average that triggers a volume spike alert.
smoothingType: Type of moving average used for volume calculation.
textColor, bgColor: Formatting for the display table.
tablePositionInput: Where the table appears on the chart (e.g., Bottom Right).
Toggles for showing/hiding parts of the table.
Volume Calculations:
Calculates current bar's volume.
Calculates average volume using the selected smoothing method.
Computes the threshold: avgVol * (1 + thresholdPercent / 100).
Compares current volume to threshold.
Table Display:
Dynamically creates a table with volume stats.
Adds rows based on user preferences.
Alerts:
alertcondition fires when currentVol crosses above the calculated threshold.
Message: "Volume Threshold Exceeded"
Usage Examples
Example 1: Spotting High Activity
Apply the script to a stock like AAPL on a 5-minute chart.
Set lookbackPeriods to 20 and thresholdPercent to 30.
Use EMA for more reactive volume tracking.
When volume spikes more than 30% above the 20-period EMA, an alert triggers.
Example 2: Day Trading Filter
For scalpers, apply it to a 1-minute crypto chart (e.g., BTC/USDT).
Set thresholdPercent to 50 to catch only strong surges.
Position the table at the top left and reduce visible info for a clean layout.
Example 3: Long-Term Context
On a daily chart, use SMA and set lookbackPeriods to 50.
Helps identify breakout moves supported by strong volume.
How this is different from Trading View's Volume indicator:
The standard volume plot from trading view allows users to set a alert when the average line is crossed, but it does not allow you to set a custom percentage at which to trigger an alert. This indicator will allow you to set any percentage you wish to monitor and above that percentage threshold will trigger your alert.
===== ORIGINAL DESCRIPTION =====
Volume Spike Alert & Overlay
This indicator will display the following as an overlay on your chart:
Current volume
Average Volume
Threshold for Alert
Description:
This indicator will display the current bar volume based on the chart time frame,
display the average volume based on selected conditions,
allow user selectable threshold over the average volume to trigger an alert.
Options:
Average lookback period
Smoothing type
Alert Threshold %
Enable / Disable Each Value
Change Text Color
Change Background Color
Change Table location
Add/Remove extra row for placement in top corner
Usage Example:
I use this indicator to alert when the current volume exceeds the average volume by a specified percentage to alert to volume spikes.
Set the threshold to 25% in the settings
Create an alert by clicking on the 3 dots on the right of the indicator title on the chart
When the threshold is exceeded the alert will trigger
Adaptive Volume‐Demand‐Index (AVDI)Demand Index (according to James Sibbet) – Short Description
The Demand Index (DI) was developed by James Sibbet to measure real “buying” vs. “selling” strength (Demand vs. Supply) using price and volume data. It is not a standalone trading signal, but rather a filter and trend confirmer that should always be used together with chart structure and additional indicators.
---
\ 1. Calculation Basis\
1. Volume Normalization
$$
\text{normVol}_t
= \frac{\text{Volume}_t}{\mathrm{EMA}(\text{Volume},\,n_{\text{Vol}})_t}
\quad(\text{e.g., }n_{\text{Vol}} = 13)
$$
This smooths out extremely high volume spikes and compares them to the average (≈ 1 means “average volume”).
2. Price Factor
$$
\text{priceFactor}_t
= \frac{\text{Close}_t - \text{Open}_t}{\text{Open}_t}.
$$
Positive values for bullish bars, negative for bearish bars.
3. Component per Bar
$$
\text{component}_t
= \text{normVol}_t \times \text{priceFactor}_t.
$$
If volume is above average (> 1) and the price rises slightly, this yields a noticeably positive value; conversely if the price falls.
4. Raw DI (Rolling Sum)
Over a window of \$w\$ bars (e.g., 20):
$$
\text{RawDI}_t
= \sum_{i=0}^{w-1} \text{component}_{\,t-i}.
$$
Alternatively, recursively for \$t \ge w\$:
$$
\text{RawDI}_t
= \text{RawDI}_{t-1}
+ \text{component}_t
- \text{component}_{\,t-w}.
$$
5. Optional EMA Smoothing
An EMA over RawDI (e.g., \$n\_{\text{DI}} = 50\$) reduces short-term fluctuations and highlights medium-term trends:
$$
\text{EMA\_DI}_t
= \mathrm{EMA}(\text{RawDI},\,n_{\text{DI}})_t.
$$
6.Zero Line
Handy guideline:
RawDI > 0: Accumulated buying power dominates.
RawDI < 0: Accumulated selling power dominates.
2. Interpretation & Application
Crossing Zero
RawDI above zero → Indication of increasing buying pressure (potential long signal).
RawDI below zero → Indication of increasing selling pressure (potential short signal).
Not to be used alone for entry—always confirm with price action.
RawDI vs. EMA_DI
RawDI > EMA\_DI → Acceleration of demand.
RawDI < EMA\_DI → Weakening of demand.
Divergences
Price makes a new high, RawDI does not make a higher high → potential weakness in the uptrend.
Price makes a new low, RawDI does not make a lower low → potential exhaustion of the downtrend.
3. Typical Signals (for Beginners)
\ 1. Long Setup\
RawDI crosses zero from below,
RawDI > EMA\_DI (acceleration),
Price closes above a short-term swing high or resistance.
Stop-Loss: just below the last swing low, Take-Profit/Trailing: on reversal signals or fixed R\:R.
2. Short Setup
RawDI crosses zero from above,
RawDI < EMA\_DI (increased selling pressure),
Price closes below a short-term swing low or support.
Stop-Loss: just above the last swing high.
---
4. Notes and Parameters
Recommended Values (Beginners):
Volume EMA (n₍Vol₎) = 13
RawDI window (w) = 20
EMA over DI (n₍DI₎) = 50 (medium-term) or 1 (no smoothing)
Attention:\
NEVER use in isolation. Always in combination with price action analysis (trendlines, support/resistance, candlestick patterns).
Especially during volatile news phases, RawDI can fluctuate strongly → EMA\_DI helps to avoid false signals.
---
Conclusion The Demand Index by James Sibbet is a powerful filter to assess price movements by their volume backing. It shows whether a rally is truly driven by demand or merely a short-term volume anomaly. In combination with classic chart analysis and risk management, it helps to identify robust entry points and potential trend reversals earlier.
Low Volatility Breakout Detector)This indicator is designed to visually identify potential breakouts from consolidation during periods of low volatility. It is based on classic Bollinger Bands and relative volume. Its primary purpose is not to generate buy or sell signals but to assist in spotting moments when the market exits a stagnation phase.
Arrows appear only when the price breaks above the upper or below the lower Bollinger Band, the band width is below a specified threshold (expressed in percentage), and volume is above its moving average multiplied by a chosen multiplier (default is 1). This combination may indicate the start of a new impulse following a period of low activity.
The chart background during low volatility is colored based on volume strength—the lower the volume during stagnation, the less transparent the background. This helps quickly spot unusual market behavior under seemingly calm conditions. The background opacity is dynamically scaled relative to the range of volumes over a selected period, which can be set manually (default is 50 bars).
The indicator works best in classic horizontal consolidations, where price moves within a narrow range and volatility and volume clearly decline. It is not intended to detect breakouts from formations such as triangles or wedges, which may not always exhibit low volatility relative to Bollinger Bands.
Settings allow you to adjust:
Bollinger Band length and multiplier,
Volatility threshold (in %),
Background and arrow colors,
Volume moving average length and multiplier,
Bar range used for background opacity scaling.
Note: For reliable results, it’s advisable to tailor the volatility threshold and volume/background ranges to the specific market and timeframe, as different instruments have distinct dynamics. If you want the background color to closely match the color of breakout arrows, you should set the same volume analysis period as the volume moving average length.
Additional note: To achieve a cleaner chart and focus solely on breakout signals, you can disable the background and Bollinger Bands display in the settings. This will leave only the breakout arrows visible on the chart, providing a clearer and more readable market picture.
Two Candle Theory (Filtered) - Labels & ColorsOverview
This Pine Script classifies each candle into one of nine sentiment categories based on how the candle closes within its own range and in relation to the previous candle’s high and low. It optionally filters the strongest bullish and bearish signals based on volume spikes.
The script is designed to help traders visually interpret market sentiment through configurable labels and candle colors.
⸻
Classification Logic
Each candle is assessed using two metrics:
1. Close Position – where the candle closes within its own high-low range (High, Mid, Low).
2. Close Comparison – how the current close compares to the previous candle’s high and low (Bull, Bear, or Range).
Based on this, a short label is assigned:
• Bullish Bias: Strongest (SBu), Moderate (MBu), Weak (WBu), Slight (SlB)
• Neutral: Neutral (N)
• Bearish Bias: Slight (SlS), Weak (WBa), Moderate (MBa), Strongest (SBa)
⸻
Volume Filter
A volume spike filter can be applied to the strongest signals:
• SBu and SBa are only shown if volume is significantly higher than the average (SMA × threshold).
• The filter is optional and user-configurable.
⸻
Display Options
Users can control:
• Whether to show labels, bar colors, or both.
• Which of the nine label types are visible.
• Custom colors for each label and corresponding bar.
⸻
Visual Output
• Labels appear above or below candles depending on bullish or bearish classification.
• Bar colors reflect sentiment for quicker visual scanning.
⸻
Use Case
Ideal for identifying momentum shifts, validating trade entries, and highlighting candles that break out of previous ranges with conviction and/or volume.
⸻
Summary
This script simplifies price action by translating each candle into an interpretable sentiment label and color. With optional volume filtering and full display customization, it offers a practical tool for discretionary and systematic traders alike.
MarketMastery Suite by DGTAll-in-One Trading Framework for Price Action, Smart Money, and Market Structure
Unlock a complete, institutional-grade toolkit built for modern traders. The MarketMastery Suite blends advanced price action logic, multi-timeframe structure detection, capital flow analytics, and liquidation-based risk tools — empowering you to decode market behavior with confidence.
Whether you're identifying smart money zones, anticipating structural shifts, or managing position risk, MarketMastery Suite delivers actionable and adaptive insights.
KEY FEATURES
---------------------------------------------------------------------------------------------------------------
⯌ Dynamic Support & Resistance Zones
Automatically detects major Support and Resistance zones based on adaptive logic derived from ICT-style OBs and BBs. Rather than using fixed lookbacks, the script applies swing-based detection to reveal significant levels across Local, Regional, Global, and Macro structures — pinpointing areas of likely institutional interest.
⯌ Trend Stop & Range Detection
Tracks market bias with a smart 3-tier trailing stop that filters noise and identifies potential breakouts, traps, or directional flips — even in ranging conditions.
⯌ Fractal Market Structure & Shift Detection
Detects real-time Break of Structure (BoS) and Change of Character (CHoCH) events across fractal structure levels — Local to Macro — helping confirm or anticipate market shifts.
⯌ Volume & Capital Flow Analysis
Highlights volume spikes and overlays Cumulative Volume Delta (CVD) and Open Interest (OI) to uncover buyer/seller intent and momentum pressure shifts.
⯌ Trend Snapshot Dashboard
A clean, mobile-friendly dashboard that shows live trend strength, directional flow (Price, OI, CVD), and key capital activity, anchored to the latest swing evaluation window.
⯌ Liquidation Risk Zones
Visualizes liquidation and margin thresholds based on leverage, entry price, and maintenance margin — essential for futures risk planning.
ALERT MESSAGES
---------------------------------------------------------------------------------------------------------------
Support & Resistance Events
"Rejection {count} at Support · Support ≈ {value}"
"Support Retest {count} After Break · Support ≈ {value}"
"Rejection {count} at Resistance · Resistance ≈ {value}"
"Resistance Retest {count} After Break · Resistance ≈ {value}"
Support & Resistance Transitions
"Support Broken · {value} → Becomes Resistance"
"Resistance Broken · {value} → Becomes Support"
Market Structure Alerts
"{fractal depth} {Bullish|Bearish} Break of Structure detected."
"{fractal depth} {Bullish|Bearish} Change of Character detected."
Bias Transitions
"{Bullish|Bearish} Bias — Trailing stop flipped {upward|downward} {volume activity}"
"Potential {Bullish|Bearish} Flip — Early signs of {upward|downward} pressure {volume activity}"
"Ranging or Transitioning — Market lacks a clear trend {volume activity}"
Volume Spike
"Extreme volume spike detected!"
DISCLAIMER
---------------------------------------------------------------------------------------------------------------
This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Volume-Enhanced Candlestick Patterns 1
Overview
Scans for four major candlestick reversal patterns:
Harami
Engulfing
Morning/Evening Star
Piercing Line/Dark Cloud Cover
Underlying logic assumes that, at a turning point, the dominant side (bulls or bears) often delivers a “final” push—either a last surge of buying or selling—before the reversal truly takes hold.
Pattern Toggles
Each individual pattern can be turned on or off in the inputs.
Enable only the patterns you want to monitor to reduce chart clutter and speed up performance.
Volume Filter Toggle
On: Requires volume-based exhaustion or climax to confirm each pattern.
Off: Relies purely on price-action candlestick logic (no volume checks).
Grouped Labels & Confluence
When one or more patterns trigger on the same bar close, a single label is drawn:
Grouping multiple confirmed patterns on one bar increases confluence and signal strength.
Climax Volume × Multiplier
Adjusting this input affects signal frequency and conviction:
Higher multiplier → fewer signals but with stronger volume confirmation
Lower multiplier → more signals, each with a looser volume requirement
Alerts
Built-in alert condition for each individual pattern (bullish/bearish Harami, Engulfing, Star, Piercing, Dark Cloud Cover), so you can receive real-time notifications whenever a confirmation occurs.
Follow for Weekly Scripts
If you find this helpful, please hit Follow and 🚀button —I release a new scripts every week.
Disclaimer
Not Financial Advice. This script is for educational and research purposes only.
Use as Part of a Larger System. It should not be used in isolation; combine it with your own risk management rules, additional indicators, and broader market analysis.
No Guarantees. Candlestick patterns and volume filters can improve signal quality, but they do not guarantee profitable trades. Always perform your own due diligence before entering any position.
Neural Adaptive VWAPNeural Adaptive VWAP with ML Features is an advanced trading indicator that enhances traditional Volume Weighted Average Price (VWAP) calculations through machine learning-inspired adaptive algorithms and predictive volume modeling.
🌟 Key Features:
🧠 Machine Learning-Inspired Adaptation
Dynamic weight adjustment system that learns from prediction errors
Multi-feature volume prediction using time-of-day patterns, price momentum, and volatility
Adaptive learning mechanism that improves accuracy over time
📊 Enhanced VWAP Calculation
Combines actual and predicted volume for forward-looking VWAP computation
Session-based reset with proper daily anchoring
Confidence bands based on rolling standard deviation for dynamic support/resistance
🎯 Advanced Signal Generation
Volume-confirmed crossover signals to reduce false entries
Color-coded candle visualization based on VWAP position
Multi-level strength indicators (strong/weak bullish/bearish zones)
⚙️ Intelligent Feature Engineering
Normalized volume analysis with statistical z-score
Time-series pattern recognition for intraday volume cycles
Price momentum and volatility integration
Sigmoid activation functions for realistic predictions
📈 How It Works:
The indicator employs a sophisticated feature engineering approach that extracts meaningful patterns from:
Volume Patterns: Normalized volume analysis and historical comparisons
Temporal Features: Time-of-day and minute-based cyclical patterns
Market Dynamics: Price momentum, volatility, and rate of change
Adaptive Learning: Error-based weight adjustment similar to neural network training
Unlike static VWAP indicators, this system continuously adapts its calculation methodology based on real-time market feedback, making it more responsive to changing market conditions while maintaining the reliability of traditional VWAP analysis.
🔧 Customizable Parameters:
VWAP Length (1-200 bars)
Volume Pattern Lookback (5-50 periods)
Learning Rate (0.001-0.1) for adaptation speed
Prediction Horizon (1-10 bars ahead)
Adaptation Period for weight updates
📊 Visual Elements:
Blue Line: Adaptive VWAP with predictive elements
Red/Green Bands: Dynamic confidence zones
Colored Candles: Position-based strength visualization
Signal Arrows: Volume-confirmed entry points
Info Table: Real-time performance metrics and weight distribution
🎯 Best Use Cases:
Intraday Trading: Enhanced execution timing with volume prediction
Institutional-Style Execution: Improved VWAP-based order placement
Trend Following: Adaptive trend identification with confidence zones
Support/Resistance Trading: Dynamic levels that adjust to market conditions
(ICT)Liquidity Grab + FVG + MSS/BOSThis script is a comprehensive educational indicator that combines and enhances several well-known trading concepts:
Liquidity Grabs (Swing Failure Patterns)
Fair Value Gaps (FVG)
Market Structure Shifts / Break of Structure (MSS/BOS)
Alerts
It identifies potential bullish and bearish liquidity grabs, confirms them optionally using volume validation on a lower timeframe, and tracks subsequent price structure changes. The indicator visually marks key swing highs/lows, FVG zones, and BOS/MSS levels—allowing traders to observe how price reacts to liquidity and imbalance zones.
🔍 Features:
Swing Failure Patterns (SFP):
Highlights possible liquidity grabs based on recent highs/lows and candle structure.
Volume Validation (Optional):
Filter signals using relative volume outside the swing on a lower timeframe. Adjustable threshold.
Fair Value Gaps (FVG):
Detects imbalance gaps and extends them for easy visualization.
Market Structure (MSS/BOS):
Displays Break of Structure (BOS) and Market Structure Shift (MSS) based on pivot highs/lows and closing conditions.
Dashboard:
A compact info panel displaying lower timeframe settings and validation status.
Custom Styling:
Adjustable colors, line styles, and label visibility for clean charting.
🧠 Ideal For:
Traders studying ICT concepts, smart money theories, and price-action-based strategies who want a visual tool for analysis and backtesting.
How to Use:
Wait for a Liquidity Grab (SFP) to form
The first condition for a potential entry is the formation of a Stop Hunt / Swing Failure Pattern (SFP).
This indicates that liquidity has been taken above or below a key level (e.g., previous high/low), and the market may be ready to reverse.
Confirmation with Fair Value Gap (FVG) and Market Structure Shift (MSS)
After the SFP, do not enter immediately. Wait for confirmation:
FVG : A Fair Value Gap (an imbalance in price action) must appear, signaling potential institutional activity.
MSS : A Market Structure Shift (break in the current trend) confirms a possible trend reversal or strong corrective move.
Enter the trade
Once both the FVG and MSS are confirmed after the SFP, you can safely enter a trade in the direction of the shift.
Alert Feature
The indicator includes an alert system to notify you when all conditions are met (SFP + FVG + MSS), so you can react quickly without constantly watching the chart.
Advanced Moving Average ChannelAdvanced Moving Average Channel (MAC) is a comprehensive technical analysis tool that combines multiple moving average types with volume analysis to provide a complete market perspective.
Key Features:
1. Dynamic Channel Formation
- Configurable moving average types (SMA, EMA, WMA, VWMA, HMA, TEMA)
- Separate upper and lower band calculations
- Customizable band offsets for precise channel adjustment
2. Volume Analysis Integration
- Multi-timeframe volume analysis (1H, 24H, 7D)
- Relative volume comparison against historical averages
- Volume trend detection with visual indicators
- Price-level volume distribution profile
3. Market Context Indicators
- RSI integration for overbought/oversold conditions
- Channel position percentage
- Volume-weighted price levels
- Breakout detection with visual signals
Usage Guidelines:
1. Channel Interpretation
- Price within channel: Normal market conditions
- Price above upper band: Potential overbought condition
- Price below lower band: Potential oversold condition
- Channel width: Indicates market volatility
2. Volume Analysis
- High relative volume (>150%): Strong market interest
- Low relative volume (<50%): Weak market interest
- Volume trend arrows: Indicate increasing/decreasing market participation
- Volume profile: Shows price levels with highest trading activity
3. Trading Signals
- Breakout arrows: Potential trend continuation
- RSI extremes: Confirmation of overbought/oversold conditions
- Volume confirmation: Validates price movements
Customization:
- Adjust MA length for different market conditions
- Modify band offsets for tighter/looser channels
- Fine-tune volume analysis parameters
- Customize visual appearance
This indicator is designed for traders who want to combine price action, volume analysis, and market structure in a single, comprehensive tool.
Volume pressure by GSK-VIZAG-AP-INDIA🔍 Volume Pressure by GSK-VIZAG-AP-INDIA
🧠 Overview
“Volume Pressure” is a multi-timeframe, real-time table-based volume analysis tool designed to give traders a clear and immediate view of buying and selling pressure across custom-selected timeframes. By breaking down buy volume, sell volume, total volume, and their percentages, this indicator helps traders identify demand/supply imbalances and volume momentum in the market.
🎯 Purpose / Trading Use Case
This indicator is ideal for intraday and short-term traders who want to:
Spot aggressive buying or selling activity
Track volume dynamics across multiple timeframes *1 min time frame will give best results*
Use volume pressure as a confirming tool alongside price action or trend-based systems
It helps determine when large buying/selling activity is occurring and whether such behavior is consistent across timeframes—a strong signal of institutional interest or volume-driven trend shifts.
🧩 Key Features & Logic
Real-Time Table Display: A clean, dynamic table showing:
Buy Volume
Sell Volume
Total Volume
Buy % of total volume
Sell % of total volume
Multi-Time frame Analysis: Supports 8 user-selectable custom time frames from 1 to 240 minutes, giving flexibility to analyze volume pressure at various granularities.
Color-Coded Volume Bias:
Green for dominant Buy pressure
Red for dominant Sell pressure
Yellow for Neutral
Intensity-based blinking for extreme values (over 70%)
Dynamic Data Calculation:
Uses volume * (close > open) logic to estimate buy vs sell volumes bar-by-bar, then aggregates by timeframe.
⚙️ User Inputs & Settings
Timeframe Selectors (TF1 to TF8): Choose any 8 timeframes you want to monitor volume pressure across.
Text & Color Settings:
Customize text colors for Buy, Sell, Total volumes
Choose Buy/Sell bias colors
Enable/disable blinking for visual emphasis on extremes
Table Appearance:
Set header color, metric background, and text size
Table positioning: top-right, bottom-right, etc.
Blinking Highlight Toggle: Enable this to visually highlight when Buy/Sell % exceeds 70%—a sign of strong pressure.
📊 Visual Elements Explained
The table has 6 rows and 10 columns:
Row 0: Headers for Today and TF1 to TF8
Rows 1–3: Absolute values (Buy Vol, Sell Vol, Total Vol)
Rows 4–5: Relative percentages (Buy %, Sell %), with dynamic background color
First column shows the metric names (e.g., “Buy Vol”)
Cells blink using alternate background colors if volume pressure crosses thresholds
💡 How to Use It Effectively
Use Buy/Sell % rows to confirm potential breakout trades or identify volume exhaustion zones
Look for multi-timeframe confluence: If 5 or more TFs show >70% Buy pressure, buyers are in control
Combine with price action (e.g., breakouts, reversals) to increase conviction
Suitable for equities, indices, futures, crypto, especially on lower timeframes (1m to 15m)
🏆 What Makes It Unique
Table-based MTF Volume Pressure Display: Most indicators only show volume as bars or histograms; this script summarizes and color-codes volume bias across timeframes in a tabular format.
Customization-friendly: Full control over colors, themes, and timeframes
Blinking Alerts: Rare visual feature to capture user attention during extreme pressure
Designed with performance and readability in mind—even for fast-paced scalping environments.
🚨 Alerts / Extras
While this script doesn’t include TradingView alert functions directly, the visual blinking serves as a strong real-time alert mechanism.
Future versions may include built-in alert conditions for buy/sell bias thresholds.
🔬 Technical Concepts Used
Volume Dissection using close > open logic (to estimate buyer vs seller pressure)
Simple aggregation of volume over custom timeframes
Table plotting using Pine Script table.new, table.cell
Dynamic color logic for bias identification
Custom blinking logic using na(bar_index % 2 == 0 ? colorA : colorB)
⚠️ Disclaimer
This indicator is a tool for analysis, not financial advice. Always backtest and validate strategies before using any indicator for live trading. Past performance is not indicative of future results. Use at your own risk and apply proper risk management.
✍️ Author & Signature
Indicator Name: Volume Pressure
Author: GSK-VIZAG-AP-INDIA
TradingView Username: prowelltraders
Volume Oscillator Pro – Spike Visualizer{NJ}📊 **Volume Oscillator Pro – Spike Visualizer (NJ)**
An enhanced volume oscillator for scalpers, day traders, and momentum traders.
This indicator visually highlights significant volume surges to help identify real market strength.
---
🔍 **Features:**
– Dynamic color changes based on volume pressure
– Warning zone starts at 70% (orange), confirmed spike at 100% (red)
– Horizontal spike line at 100% for clear reference
– Optional background color for extreme volume breakouts
---
⚙️ **Recommended Use:**
– Use on **1–5 minute charts** for scalping and fast momentum entries
– Combine with **price structure or candle pattern setups**
– Spikes above 100% often indicate large player entries or exits
– Helps you distinguish real movement from market noise
---
🧪 **Suggested Settings:**
– Short Length: `5`
– Long Length: `10`
– Spike Threshold: fixed at 100% (can be adjusted)
---
Created by **Nasir Jebri**
2-Day Volume Weighted Average Price (VWAP)This indicator extends TradingView’s built-in VWAP by calculating a volume-weighted average price over a continuous two-day window (yesterday + today), anchoring VWAP at the start of yesterday’s session and carrying it through to today’s close, but only plotting the segment that falls within the current trading session—yesterday’s data feeds into the calculation to ensure today’s VWAP reflects the prior session’s volume and price action, while the line drawn on your chart always begins at today’s session open.
Standard Deviation Bands: Optional ±1σ, ±2σ, and ±3σ envelopes, exactly as in the default VWAP, but based on the rolling two-day data.
Candle Volume Profile Marker# 📊 Candle Volume Profile Marker (CVPM)
**Transform your chart analysis with precision volume profile levels on every candle!**
The Candle Volume Profile Marker displays key volume profile levels (POC, VAH, VAL) for individual candles, giving you granular insights into price acceptance and rejection zones at the micro level.
## 🎯 **Key Features**
### **Core Levels**
- **POC (Point of Control)** - The price level with highest volume concentration
- **VAH (Value Area High)** - Upper boundary of the value area
- **VAL (Value Area Low)** - Lower boundary of the value area
- **Customizable Value Area** - Adjust percentage from 50% to 90%
### **Flexible Display Options**
- **Current Candle Only** or **Historical Lookback** (1-50 candles)
- **Multiple Visual Styles** - Lines, dots, crosses, triangles, squares, diamonds
- **Smart Line Extensions** - Right only, both sides, or left only
- **4 Line Length Modes** - Normal, Short, Ultra Short, Micro (for ultra-clean charts)
- **Full Color Customization** - Colors, opacity, line width
- **Adjustable Marker Sizes** - Tiny to Large
### **Advanced Calculation Methods**
Choose your POC calculation:
- **Weighted** - Smart estimation based on volume distribution (default)
- **Close** - Uses closing price
- **Middle** - High-Low midpoint
- **VWAP** - Volume weighted average price
### **Professional Tools**
- **Real-time Info Table** - Current levels display
- **Smart Alerts** - POC crosses and Value Area breakouts
- **Highlight Current Candle** - Extended dotted lines for current levels
- **Developing Levels** - Real-time updates for active candle
## 🚀 **Why Use CVPM?**
### **Precision Trading**
- Identify exact support/resistance on each candle
- Spot volume acceptance/rejection zones
- Plan entries and exits with micro-level precision
### **Clean & Customizable**
- Lines extend only right (eliminates confusion)
- Ultra-short line options for minimal chart clutter
- Professional appearance with full customization
### **Multiple Timeframes**
- Works on any timeframe from 1-minute to monthly
- Historical analysis with adjustable lookback
- Real-time developing levels
## 📈 **Perfect For**
- **Day Traders** - Micro-level entry/exit points
- **Swing Traders** - Key levels for position management
- **Volume Analysis** - Understanding price acceptance zones
- **Support/Resistance Trading** - Precise level identification
- **Breakout Trading** - Value area breakout alerts
## ⚙️ **Easy Setup**
1. Add indicator to your chart
2. Choose your preferred visual style (lines/dots)
3. Select line extension (right-only recommended)
4. Adjust line length (try "Ultra Short" for clean charts)
5. Customize colors and enable alerts
## 🎨 **Customization Groups**
- **Display Options** - What to show and how many candles
- **Calculation** - POC method and value area percentage
- **POC Visual** - Style, color, width, length for Point of Control
- **Value Area Visual** - Style, color, width, length for VAH/VAL
- **Line Settings** - Extension direction and length modes
- **Size** - Marker sizes and opacity
## 🔔 **Built-in Alerts**
- Price crosses above/below POC
- Value Area breakouts (up/down)
- Fully customizable alert messages
## 💡 **Pro Tips**
- Use "Right Only" extension to avoid confusion about which candle owns the levels
- Try "Ultra Short" or "Micro" line modes for cleaner charts
- Enable "Highlight Current Candle" for extended reference lines
- Combine with volume indicators for enhanced analysis
- Use different colors for easy POC/VAH/VAL identification
---
**Transform your volume analysis today with the most flexible and customizable candle-level volume profile indicator available!**
*Perfect for traders who demand precision and clean, professional charts.*
Enhanced Scalping IndicatorEnhanced Scalping Indicator - Professional Multi-Confirmation Trading System
Overview
The Enhanced Scalping Indicator is a sophisticated trading tool designed for short-term traders seeking high-probability entry and exit signals. This indicator combines multiple technical analysis techniques with adaptive market conditions to filter noise and identify optimal trading opportunities.
Key Features
🎯 Multi-Confirmation Signal System
- Enhanced RSI with Adaptive Thresholds: Dynamic overbought/oversold levels that adjust based on market volatility (ATR)
- Higher Timeframe Confirmation: Uses 1-hour RSI to validate signals from lower timeframes
- Volume-Weighted Momentum: Incorporates volume analysis to confirm price movements
- Market Structure Analysis: Evaluates price position within recent 20-bar range
📊 Advanced Signal Generation
- Buy Signals: Triggered when RSI is oversold with upward momentum, confirmed by higher timeframe bearish conditions and strong volume
- Sell Signals: Activated when RSI is overbought with downward momentum, validated by higher timeframe bullish conditions and high volume
- Exit Signals: Smart exit conditions based on RSI mean reversion and momentum shifts
🔄 Divergence Detection (Optional)
- Bullish Divergence: Identifies when price makes lower lows while RSI makes higher lows
- Bearish Divergence: Spots when price makes higher highs while RSI makes lower highs
- Volume Confirmation: All divergence signals require above-average volume for validation
⚙️ Customizable Parameters
- RSI Settings: Adjustable length (default: 14) and source
- Moving Average Options: Choose from SMA, EMA, SMMA, WMA, VWMA, or Bollinger Bands
- Higher Timeframe: Configurable confirmation timeframe (default: 1 hour)
- ATR Period: [
/b] Volatility measurement period for adaptive thresholds
📈 Visual Elements
- Dynamic Threshold Lines: Adaptive overbought/oversold levels
- Signal Shapes: Clear buy/sell and exit signals on chart
- Background Highlighting: Color-coded background for active signals
- Real-time Information Table: Displays current RSI, higher timeframe RSI, volatility ratio, market position, and momentum
🚨 Alert System
Complete alert functionality for:
- Enhanced buy signals
- Enhanced sell signals
- Long position exits
- Short position exits
Best Use Cases
- Scalping: 1-5 minute timeframes for quick trades
- Day Trading: 15-30 minute timeframes for intraday positions
- Swing Trading: Higher timeframes with divergence detection enabled
Market Conditions
Works effectively in:
- T rending Markets: Momentum and higher timeframe filters reduce false signals
- Range-bound Markets: Adaptive thresholds adjust to market volatility
- High Volume Sessions: Built-in volume filters ensure signal quality
Strategy Integration
This indicator works well with:
- Support/resistance levels
- Price action analysis
- Risk management rules (stop losses, position sizing)
- Market session awareness (built-in US market hours filter)
Technical Implementation
- Built on Pine Script v6
- Utilizes proper RMA calculations for RSI
- Implements consistent historical data access
- Optimized for performance with minimal repainting
Risk Disclaimer
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always combine with proper risk management, fundamental analysis, and your trading strategy. Past performance does not guarantee future results.
---
Perfect for: Scalpers, day traders, and swing traders looking for a comprehensive, multi-confirmation trading system with built-in risk management features.
Volume Buy/Sell SplitVisually decompose each bar’s total volume into estimated “buy” and “sell” components, so you can instantly see which side—buyers or sellers—dominated on each candle.
Key Features
Total Volume Base
A solid grey histogram shows the absolute volume on every bar.
Buy vs. Sell Split
Buying Volume is calculated as
```volume × (close – low) / (high – low)```
Selling Volume is calculated as
```volume × (high – close) / (high – low)```
These estimates assume that when price closes near the high, more of that bar’s volume was “aggressive buying,” and vice versa.
Dynamic Stacking
The larger of the two components (buying vs. selling) is plotted directly on top of the grey base, in blue (if buying dominates) or yellow (if selling dominates).
The smaller component is plotted above that, in the complementary color, so the full column still represents total volume.
30‑Bar Average Marker
A thin purple line appears at the 30‑bar simple moving average of volume—but only on bars where volume exceeds that average—helping you spot volume spikes at a glance.
How to Interpret
Tall grey columns = high total volume bars.
Blue‑tinted sections = buying pressure; yellow‑tinted sections = selling pressure.
When the blue (buy) portion is larger, buyers had the upper hand; a larger yellow portion indicates sellers dominated.
Purple markers highlight bars where volume is above its 30‑period average, drawing your eye to unusually active sessions.
Usage Notes
Overlay: false (panel below price)
No external inputs to adjust—plug and play.
Ideal for spotting divergences between price and volume aggression, confirming breakouts, or identifying potential exhaustion moves when one side’s volume spikes.
Add this script to your charts to gain clear, color‑coded insights into buying vs. selling activity on every candle.
Project SynthIntroducing Project Synth !
Inspired by Pace of Tape and Cumulative Delta I created Project Synth in order to aggregate volume flow data across multiple marketsfor two primary reasions:
Traditional orderflow tools are not available on Tradingview. My script attempts to bring an original; calculus-based approach to creating not only an alternative for traditional orderflow tools, but also a more accurate one.
In order to detect genuine buying and selling pressure that cannot be easily manipulated. I did this because while I've always enjoyed concept behind both of those tools, I did not think they captured enough data to be useful. By analyzing assets that move together (positive correlation) and assets that move inversely (negative correlation), my system aims to fix the fundamental problems with those indicators and create an objective view of market sentiment based on aggregate orderflow.
Some more detailed explanations (using QQQ and SQQQ as an example):
Inverse Market Dynamics (QQQ vs SQQQ):
In an inverse market like SQQQ, aggressive buyers hit the ask when they expect the underlying (QQQ) to fall, while passive buyers wait on the bid hoping for cheaper inverse exposure. When QQQ rallies, SQQQ sees aggressive selling (people dumping their bearish bets) hitting bids, while passive sellers sit on the ask hoping to exit at better prices. The aggression flows opposite to the underlying market direction.
Why Utilizing Both Markets Provides A More Accurate Delta:
Watching both QQQ and SQQQ gives cross-validation - real buying pressure in QQQ should coincide with selling pressure in SQQQ. If you see buying in QQQ but also buying in SQQQ, that's a conflicting signal suggesting the move might be artificial or driven by other factors. The inverse relationship acts as a confirmation filter, making false signals much harder to generate.
Multiple Markets = Authentic Pressure:
The more unique, important markets you track, the harder it becomes to create fake delta moves. Real institutional buying/selling pressure affects multiple correlated assets simultaneously in predictable patterns - you can't easily manipulate tech stocks, treasury bonds, VIX, and currency pairs all at once to create a false signal. Each additional market acts as a fraud detection layer, ensuring the delta measurement reflects genuine ecosystem-wide buying and selling pressure rather than isolated manipulation or noise.
My Suggestions For Usage:
In order to keep the explanation simple and short for now, I suggest using it just like a cumulative delta indicator. For example: let's say you were watching CME_MINI:ES1! , and you had a resistance level at 6000. When the price reaches your resistance level, you would be looking for a significant divergence between price and Delta. Price : rising, Delta : falling. This means that even though the price was going up, strong and aggressive sellers are jumping in more and more, this can be used as a confirmation tool for a resistance level.
Notes For Moderators, Authors and Users:
Firstly, to the best of my knowledge, I have not been able to find many tools built around the concept of cumulative delta or pace of tape. While I know there are a couple projects, none to the magnitude of synthetically recreating these tools via an algorithm designed around basic calculus principles. While tools like Volume Delta are built in, they do not attempt to capture an accurate picture of aggregated orderflow from what I understand.
Secondly, it needs to be noted that tool aims to create an approximation of buying and selling pressure. To my knowledge it is not possible to create an accurate full picture, at least not within the limitations of Tradingview.
