Tennis Ball ActionInspired by Mark Minervini's sell rules in "Think and Trade Like a Champion".
Used to determine if a stock is behaving well after a breakout
Used to determine when it might by prudent to reduce a position or sell
Used as a visual aid, but based purely off price and volume action
Here's a breakdown of what each condition checks for:
Up Close Counter: Checks for a sequence of upward closes. If there are 12 or more up closes in the last 15 days, it flags up_days as true.
Upper 50% Range Condition: Determines if 9 or more out of the last 15 closes are in the upper 50% of the price range.
Bullish Engulfing: Identifies a bullish engulfing candlestick pattern where the close is higher than the previous high and the open is lower than the previous low.
Stock Up 3% or More: Flags when the stock is up 3% or more on the day.
Inside Day Condition: Checks if the current day's high is lower than the previous day's high and the current day's low is higher than the previous day's low.
Close Below 50-day SMA: Indicates a negative confirmation when the stock closes below the 50-day Simple Moving Average (SMA).
Weak Close Condition: Similar to the Upper 50% Range Condition, but looking for lower closes.
Close Below 20-day SMA: Another negative confirmation when the stock closes below the 20-day SMA.
Three Lower Lows: Identifies a pattern where the current close is lower than the previous two closes.
Down on Above Average Volume: Flags when the stock closes lower than the previous day's close and the volume is higher than the 20-day SMA of volume.
The script then tallies up the confirmations and violations based on these conditions and plots them on a histogram. Confirmations are represented in green, violations in red.
This indicator evaluates both bullish and bearish signals based on various technical conditions to assist traders in decision-making. The confirmations suggest potential bullish movements, while violations indicate potential bearish movements in the stock.
Volume
ASFX SignalsDescription:
The ASFX Signals Indicator, created by OmegaTools, is an open-source Pine Script™ code designed to provide traders with valuable signals for potential entry and exit points in the market. This script incorporates a combination of Exponential Moving Average (EMA) signals and Volume Weighted Average Price (VWAP) confluence, enhancing the precision of trading decisions.
Key Features:
Threshold Configuration: Users can customize the threshold parameter (thres) to fine-tune signal sensitivity, adapting the indicator to different market conditions.
EMA Length Customization: The script allows traders to adjust the length of the Exponential Moving Average (EMA) with the "EMA Length" input, providing flexibility in capturing various trends.
Show/Hide Options: Users have the flexibility to choose whether to display the EMA line, VWAP confluence, and VWAP upper and lower bands, tailoring the visual representation based on individual preferences.
VWAP Confluence: The indicator integrates VWAP confluence, offering additional confirmation for trading signals. Traders can choose the VWAP resolution and set the deviation parameter for enhanced accuracy.
Signal Filtering: The script intelligently filters signals based on the percentage of the candle that crosses the EMA. Long signals are filtered out if the closing price is above the VWAP or the specified threshold, and short signals are filtered out if the closing price is below the VWAP or the threshold.
Visual Signals: The indicator provides clear visual signals for long and short entries, making it easy for traders to identify potential opportunities. The signals are accompanied by arrows and labels for quick interpretation.
How to Use:
Adjust the threshold, EMA length, and VWAP parameters based on your trading preferences.
Choose whether to display the EMA line, VWAP confluence, and upper/lower bands.
Interpret long and short signals for potential entry and exit points, considering the percentage of the candle that crosses the EMA.
Consider additional confirmation provided by VWAP confluence.
Concepts and Methodology:
The ASFX Signals Indicator combines EMA signals and VWAP confluence to generate actionable trading signals. The script intelligently considers the percentage of the candle that crosses the EMA, providing a nuanced approach to signal confirmation. The EMA offers trend insights, while VWAP confluence enhances signal reliability.
Support and Resistance (MTF) | Flux Charts💎 GENERAL OVERVIEW
Introducing a groundbreaking support and resistance indicator designed to revolutionize your trading experience on TradingView! This innovative tool operates across three distinct timeframes, offering a comprehensive view of market dynamics to help you make informed trading decisions.
The indicator offers a large variety of features :
Select Up To 3 Timeframes
Select Strength Of Supports & Resistances
Select Between Zones & Lines
Show Breaks & Restests
Break & Retest Alerts
Avoid False Breaks
Inverse Color After Broken
Expand Lines & Zones
🚩UNIQUENESS
What sets this indicator apart is its ability to seamlessly integrate and analyze support and resistance levels across multiple timeframes simultaneously. By combining data from three different timeframes, this indicator provides a holistic perspective on market trends and key levels. The adaptive nature of this tool ensures a dynamic assessment of support and resistance zones, empowering traders to adapt to changing market conditions efficiently.
⚙️SETTINGS
1. General Configration
Support & Resistance Count -> Select between 1-3 support & resistance zones for each timeframe.
Pivot Range -> The pivot range is taken into calculations when finding high & low pivots in the chart. Increase if you need a more general look at the support & support zones, or decrease if you need a more detailed look.
Strength -> The strength of the support & resistance zones are determined by how many times the price touched the zone in the past. You can increase the strength up to 4.
Expand Lines & Zones -> If enabled, the support & resistance zones will be expanded to both left and right infinitely. If disabled, the support & resistance zones will be clamped between the time they are first seen, and the time they become broken.
2. Support & Resistance Zones
Enable Zones -> The support & resitsance lines will be converted to zones if enabled.
Zone Width -> The width of the zones. 1 -> %0.05, 2 -> %0.06, 3 -> %0.075.
3. Timeframes
Enable & Disable up to 3 different timeframes using the checkboxes. You can set the timeframes using the selectboxes.
4. Breaks & Retests
Show Breaks -> Points the break points with a blue label with the text "B" on it.
Show Retests -> Points the times when the support & resistance zones are being retested in the current chart.
Avoid False Breaks -> If enabled, the algorithm will try to avoid false break points by comparing the average volume of the point to a longer average volume.
Break Volume Threshold % -> If "Avoid False Breaks" option is enabled, the average volume of the break point should surpass the general average volume by this percent. Higher values mean it's less likely to be a break.
Inverse Color After Broken -> As broken support & resistance zones often become resistance & support zones respectively, if you enable this option the broken zones will inverse their color.
5. Alerts
To make the alerts work, you'll need to add an alert to the chart using the TradingView® alert feature.
Enable Retest Alerts -> You will receive alerts when restests happen on any of the support & resistance zones. "Show Retests" option needs to be enabled to get alerts of this category.
Enable Break Alerts -> You will receive alerts when breaks happen on any of the support & resistance zones.
Zigzag Tails [Trendoscope®] 🎲 Introducing Zigzag Tails Indicator by Trendoscope.
The Zigzag Tails Indicator, a groundbreaking tool from Trendoscope, redefines technical analysis by seamlessly integrating anchored VWAPs (Volume Weighted Average Prices) and Average Price calculations with Zigzag pivot points. This advanced indicator recalculates Average Price or VWAP from one Zigzag pivot to the next, offering unparalleled insights into market movements.
🎯 Innovative Design
Each Zigzag pivot can feature up to three distinct tails, corresponding to the high, low, and close prices of each candle. Users have the flexibility to select between Average Price and VWAP for display on their charts. By default, the indicator plots all three tails, but individual tail visibility is customizable via the settings panel.
Average Price Mode: When selected, tails depict the average price across a specified number of bars.
VWAP Mode: In this mode, tails represent the VWAP, calculated for a given price over a set number of bars.
🎯 Dynamic Dotted Tail
The Zigzag Tails Indicator features dotted tails that extend from the last Zigzag pivot to the current bar. These dotted tails dynamically adapt to market changes and are subject to repainting with the emergence of new Zigzag pivots.
When repainting is enabled, the dotted tails originate from the last unconfirmed Zigzag pivot, extending to the current bar. This setting offers a more immediate, albeit tentative, visual representation of market trends.
With repainting disabled, the dotted tails will be anchored from the last confirmed Zigzag pivot to the current bar, providing a more stable but slightly delayed market analysis.
Irrespective of the repaint option, the dotted dynamic tails is always expected to repaint.
🎯 Practical Applications
The Zigzag Tails Indicator provides more accurate support and resistance levels than traditional VWAP, rolling VWAP, or moving averages. Its precision makes it an invaluable tool for identifying trends, as well as potential trend continuations or reversals.
🛠 Indicator Settings
Zigzag Configuration:
Zigzag Length determines the loopback length for the foundational Zigzag calculation.
Number of Bars represent the calculation distance. This limitation is added to avoid runtime errors on lower timeframes. The calculations run through lots of loops. Hence, if it is run across too many bars, we may get timeout issues.
Repaint: Activating this will also display the last, unconfirmed Zigzag pivot. Since the last pivot is inherently tentative, it may repaint with the arrival of new bars. A pivot is confirmed only when a subsequent unconfirmed pivot emerges on the chart.
Tail Configuration
Tail Type: Choose between average and VWAP for the tail calculation. The average option plots a simple average, while the VWAP option calculates an anchored VWAP from pivot to pivot.
Display Options: Tailored display options for High, Low, Close prices, with customizable colors for each tail type.
Inspired by the ideas of @KioseffTrading's implementation of Zigzag Anchored VWAP
High volume candles.
High Volume Candles Indicator:
This is a simple tool that shows you when there's a lot of action in the market. It highlights the candles with the highest trading volume on your chart.
What It Does:
Picks the Busiest Candle: It points out the candle with the most trading in your set time.
Shows Buying and Selling: Green for lots of buying, red for lots of selling.
You Choose the Time Frame: Whether it's a few candles or many, it's up to you.
Best Part - Alerts:
Get Notified: The cool thing? It'll alert you when these big volume candles happen. You won't miss the important moments.
Use this to keep track of when things are really moving in the market, without having to watch your screen all the time.
Liquidation Volume (Zeiierman)█ Overview
The Liquidation Volume (Zeiierman) indicator highlights real-time long and short liquidations across all timeframes on TradingView. The indicator assists traders in identifying potential liquidation points in the market based on volume and price movements. Liquidation, in this context, refers to the forced closure of a trader's position due to insufficient margin in their account to support open positions, often occurring during significant price movements.
█ How It Works
The indicator operates primarily through the computation of a MomentumAdjustedPrice function, which is applied to volume-weighted prices (open, high, low, close) adjusted for volatility.
█ How to Use
Identifying Support and Resistance Levels: Liquidation data can provide valuable insights into key market levels where significant trading activities occur. These levels often act as support or resistance in the price chart. Support levels are typically where an asset's price finds a floor, as buying interest is significant enough to outweigh selling pressure. Conversely, resistance levels are where an asset's price may find a ceiling, with selling interest outweighing buying pressure. By analyzing liquidation data, traders can identify these critical points.
Start of a New Trend:
The initiation of a new trend can often be identified by a significant shift in liquidation volumes near breakout levels.
Trend Continuations:
Trend continuations are periods where the current trend is sustained and further confirmed by liquidation patterns. For example, in an uptrend, continuous short liquidations might occur, suggesting that the trend is strong and likely to persist as bearish traders keep getting squeezed out. In a downtrend, continuous long liquidations can serve as confirmation that the trend is still in place. Recognizing these patterns in liquidation data can help traders to stay aligned with the prevailing trend and avoid premature exits or entries against the trend.
Trend Reversals: Patterns in liquidations can be crucial in signaling potential trend reversals. A sudden and significant change in liquidation volumes—like a spike in long liquidations during a downtrend or short liquidations during an uptrend—can indicate that the current trend is losing steam and a reversal may be imminent. This information can be particularly useful for traders looking to anticipate market turns and adjust their strategies accordingly.
Spot Potential Liquidation Points: By observing the liquidation candles and their colors, traders can identify where large liquidations are likely occurring, signaling potential market turning points.
Understand Market Sentiment: Changes in liquidation volumes can provide insights into bullish or bearish sentiment, helping traders gauge the market mood. By observing liquidation patterns and clusters, traders can get insights into prevailing market sentiments and emerging trends.
█ Settings
Liquidation Source: Allows selection between 'Price' and 'Volume' for liquidation analysis.
Volume Period: Determines the period over which volume is averaged.
Volatility Period: Sets the length for calculating standard deviation, influencing the volatility measure.
Candle Display Toggle: Enables or disables the display of liquidation candles on the chart.
Threshold: Sets the level at which liquidation bars are triggered.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. 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.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Price Volume Harmony Indicator [Nasan]The indicator "Price Volume Harmony Indicator " (abbreviated as PVHI) combines relative volume intensity (RVI) and relative price change (PC) to identify potential synergy or divergence between price and volume movements. Let's break down the key components and discuss how to interpret the output:
Relative Volume Intensity (RVI):
It calculates the mean volume intensity using simple moving averages (SMA) of different periods (5, 8, 13, and 144).
It then computes point volume intensity based on the current volume compared to the previous bar's volume.
The final RVI is a combination of mean and point volume intensities.
Relative Price Change (PC):
It calculates the median absolute deviation (MAD) and the price change relative to MAD for three different lengths (5, 8, and 13).
The average relative PC is a weighted combination of the three PC values.
Normalization:
RVI and PC are normalized using Z-scores (standard scores) to bring them to the same scale. This enables easier comparison.
Histogram Plotting:
The RVI and PC are plotted as histograms below the main price chart. Green color bars represent RVI, and blue color bars indicate PC. The RVI bars are light green when the RVI values are decreasing compared to previous bar. Similarly, when PC bars are light blue it indicates that the PC values are decreasing compared to previous bars.
There is a zero line +/- 0.5 SD lines movements above and below the SD lines are practically
significant.
Interpretation :
(1) Strong Bullish Movement :
This is when both the green bars (RVI) and blue bars (PC) increases and are on the same side above zero .
(2) Strong Bearish Movement :
This is when the green bars (RVI) increases and blue bars (PC) decreases. The green bars above zero but blue bars below zero.
(3) Weak Bullish Movement :
This is when the green bars (RVI) decreases and are below zero but the blue bars (PC) increases and are above zero .
(2) Weak Bearish Movement :
This is when both the green bars (RVI) and blue bars (PC) decreases. The green bars and blue bars are below zero.
This output is slightly hard to read but with practice can be read easily.
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.
ka66: Normalised/Relative VolumeThis is an idea taken from a John Bollinger (of Bollinger Bands fame) talk. Instead of showing volume with a moving average overlay, we show volume relative to its moving average:
avgVolume = sma(volume, 10) // several configurable MAs allowed
relativeVolume = volume / avgVolume
Now if we get a value of 1, that means the current volume is the same as its historical average. Under 0, less than average, and above zero, greater than its average.
If we get a value like 2, then current volume is twice its average. I hope the implication of this being displayed visually is becoming clearer.
We plot this relative volume as columns.
We then plot horizontal levels, like 1, 2, 3 to see the magnitude of the current volume relative to its average.
Consecutive rising or falling relative volume is shown in the same colour.
I am still exploring volume as trading data point, but we see some ideas from this visual representation:
How do volume patterns change across timeframes? Do we get better signals or higher or lower time frames (e.g. big relative volume spikes)
Can consecutive rises or falls indicate a big potential move, even though price is just fluctuating.
What about a switch from rise to fall.
If we get pinbars/spikes with a big relative volume spike, can we then infer more clearly whether buyers or sellers are in control.
Temporary imbalances 2.0 This indicator attempts to calculate potential points of imbalance and equilibrium based on VWAPs and modified moving averages. The idea is to determine if there has been a change in volume and perform the calculation from that point It uses the standard deviation to determine the significant imbalance threshold. Candles with bullish imbalances are highlighted in green, while candles with bearish imbalances are highlighted in red.
"It also features a set of VWAPs and modified moving averages that you can enable or disable."
When you activate the 'Show Anchor VWAP' option, it will add five modified VWAPs.
Practical Significance:
The Anchored VWAP is a volume-weighted average price that serves as a dynamic reference to assess the average price during specific moments of market imbalance.
During a bullish imbalance, the anchor_vwap reflects the VWAP at that moment, emphasizing price behavior during that specific period.
Similarly, in a bearish imbalance, the anchor_vwap provides the associated VWAP for that condition, highlighting price movements during the imbalance phase.
How to Use:
The anchor_vwap can be employed to contextualize the volume-weighted average price during critical moments associated with significant changes in market imbalance.
By analyzing price behavior during and after periods of imbalance, the Anchored VWAP can help better understand market dynamics and identify potential areas of support or resistance.
Show VWAP Percent Imbalance"
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price multiplied by volume, with a focus on conditions where the percentage volume variation surpasses a predefined threshold.
Calculation: Utilizes the simple moving average weighted of the product of the volume-weighted average price and volume only when the percentage volume variation exceeds a specific threshold.
Interpretation: Provides insight into the volume-weighted price trend during conditions where the percentage volume variation exceeds a predefined limit.
The "showDeltaVWAP" is a toggleable setting that you can turn on or off. When activated, it displays special lines on the chart. Let's understand what these lines represent:
Delta Anchor VWAP:
A green line (Delta Anchor VWAP) represents a measure of market volume imbalance.
Delta2 Anchor VWAP:
A red line (Delta2 Anchor VWAP) shows another perspective of volume imbalance.
VWAP Delta Volume:
A light blue line (VWAP Delta Volume) displays a volume-weighted average of price.
VWAP Delta Volume2:
An orange line (VWAP Delta Volume2) shows another view of the volume-weighted average of price.
Delta3 Anchor VWAP:
A light blue line (Delta3 Anchor VWAP) represents a combination of the previous measures.
Delta4 Anchor VWAP:
A purple line (Delta4 Anchor VWAP) is another combination, providing an overall view.
These lines are based on different conditions and calculations related to trading volume. When you activate "showDeltaVWAP," these lines appear on the chart, aiding in better understanding market behavior.
"Show Faster Volatility" is an option that you can enable or disable. When activated (set to true), it displays special lines on the chart called "Faster Volatility VWAP," "Faster Volatility VWAP2," and "Faster Volatility VWAP3." Let's understand what these lines represent:
Faster Volatility VWAP:
A purple line (Faster Volatility VWAP) is a Volume Weighted Average Price (VWAP) that is calculated more quickly based on short-term price reversal patterns.
Faster Volatility VWAP2:
A light gray line (Faster Volatility VWAP2) is another Volume Weighted Average Price (VWAP) that is calculated even more quickly based on even shorter-term price reversal patterns.
Faster Volatility VWAP3:
A purple line (Faster Volatility VWAP3) is another Volume Weighted Average Price (VWAP) calculated rapidly based on even shorter-term price reversal patterns.
These lines are designed to indicate moments of possible exhaustion of volatility in the market, suggesting that there may be a subsequent increase in volatility. When you activate "Show Faster Volatility," these lines are displayed on the chart.
"Show Average VWAPs Imbalance" displays weighted averages of different Volume Weighted Average Prices (VWAPs) in relation to specific market conditions. Here's an explanation of each component:
Standard VWAP:
The blue line represents the standard VWAP, a volume-weighted average of asset prices over a specific period.
VWAP with Added Imbalance (avg_vwap2):
The pink line is a weighted average that adds an imbalance value to the standard VWAP. This component highlights periods of market imbalance.
VWAP with Balance (avg_vwap3):
The lilac line is a weighted average that adds balance based on the imbalance between uptrend and downtrend, reflecting changes in volume. This provides insights into supply and demand dynamics.
Overall Average of VWAPs (avg_vwaptl):
The violet line is a weighted average that incorporates both standard and adjusted VWAPs, offering an overview of market behavior under different considered conditions.
Visual Customization (Show Average VWAPs Imbalance):
Users have the option to show or hide these average lines on the chart, allowing for a clear visualization of market trends.
"Show Min Variation VWAP" is associated with the calculation and display of a smoothed version of the Volume Weighted Average Price (VWAP), taking into account the minimum price variation over a specific period.
"How Imbalance Anchor VWAP Calculated as the smoothed relationship between liquidity difference and maximum VWAP equilibrium" is associated with the calculation and display of a smoothed version of the Imbalance Anchor VWAP. Here is a detailed explanation:
Calculations and Smoothing:
The variable "smoothed_difference" represents the exponential moving average (EMA) of the difference between two variables related to liquidity.
"smoothed_difference2" is the division of "smoothed_difference" by the maximum variation of the VWAP Equilibrium.
"smoothed_difference3" involves additional manipulation of "smoothed_difference" and "vwap_delta3."
"smoothed_difference4" incorporates the previous results, adjusted by the value of the VWAP.
Visual Customization:
The user has the option to enable or disable the display on the chart.
The line is colored in a shade of green.
It provides a smoothed representation of the Imbalance Anchor VWAP.
The line is colored in a shade of blue, and the calculation involves the summation of moving averages (20, 50, 200). Afterward, there is division by 3. Additionally, there is the summation of moving averages (766, 866, 966), divided by 3. The final step is to add these results together and divide by 2. media name is Imbalance Value2
Show VWAP Equilibrium (Max Variation) Calculated as the difference between two VWAPs derived from the highest and lowest price changes
Show Equilibrium VWAP Calculated as the sum of VWAP and (sma200 - sma20)
calculate the difference between the media of 200 to 20
Show Equilibrium VWAP Calculated as the sum of VWAP and (766+866+966)/3 - (sma200 - sma20)
Show Equilibrium VWAP Standard Deviation Calculated as the Exponential Moving Average (EMA) of the Standard Deviation of SMA (sma200 + sma20 + sma8)/3
Show Equilibrium VWAP Delta Calculated as the ratio of the smoothed VWAP Delta Result componentes
Show Standard Deviation Equilibrium VWAP Delta: Calculated as the Standard Deviation between the Average of VWAP Delta Result Components and Their Smoothed Versions
This average attempts to calculate the equilibrium."
vwap_equilibrium:
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price (hl2) multiplied by volume, focusing on periods of volume equilibrium.
Calculation: Utilizes the simple moving average weighted (sma) of the product of the volume-weighted average price and volume only when there is no volume imbalance.
Interpretation: This indicator provides a view of the volume-weighted price trend during moments when the market is in equilibrium, meaning there is no noticeable imbalance in volume conditions. The calculation of VWAP is adjusted to reflect market characteristics during periods of stability.
vwap_percent_condition:
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price multiplied by volume, with a focus on conditions where the percentage volume variation surpasses a predefined threshold.
Calculation: Utilizes the simple moving average weighted of the product of the volume-weighted average price and volume only when the percentage volume variation exceeds a specific threshold.
Interpretation: Provides insight into the volume-weighted price trend during conditions where the percentage volume variation exceeds a predefined limit.
The objective of these two VWAPs is to calculate possible equilibrium points between buyers and sellers.
The indicator works for all timeframes This indicator can be adjusted according to the preferences and characteristics of the specific asset or market. It provides clear visual information and can be used as a complementary tool for technical analysis in trading strategies.
Interesting
Interesting
lookback period 7 , 12, 20,70,200, 500,766,866,966
imbalance threshold 2.4, 3.3 ,4.2
The objective of this indicator is to identify and highlight various points of imbalance and equilibrium.
Performante's Average Bitcoin Volume IndicatorThe volume of all major exchanges, including:
Bitfinex, Coinbase, Bitstamp, Bitmex, Kraken, Binance, Bithumb, Flyer, and OkEx
Volume Outlier Signal Detector (Based on IQR)This indicator can detect outliers in trading volume using the 1.5 IQR rule or the outlier formula.
The outlier formula designates outliers based on upper and lower boundaries. Any value that is 1.5 times the Interquartile Range (IQR) greater than the third quartile is designated as an outlier.
The indicator computes the Q3 (75th percentile) and Q1 (25th percentile) of a given volume dataset. The IQR is then calculated by subtracting the Q1 volume from the Q3 volume.
To identify volume outliers, the indicator uses the formula:
Q3 Volume + IQR Multiplier(1.5) * IQR
If the trading volume surpasses the volume outlier, the indicator will display either a green or red column.
A green column indicates that the current bar volume is higher than the volume outlier, and simultaneously, the current bar close is higher than the previous bar's close. Vice versa for the red column.
Moving averages are an optional parameter that can be added to filter out instances where the indicator shows a green or red column. If this option is enabled, the indicator will not display a green column if the price is not above the moving average, and vice versa for red columns.
Several settings can be customized to personalize this indicator, such as setting the moving average filter to higher timeframes. The MA type can also be switched, and IQR settings can be adjusted to fit different markets.
This indicator only works with TradingView charts with volume data.
***Disclaimer:
Before using this indicator for actual trading, make sure to conduct a back test to ensure the strategy is not a losing one in the long run. Apply proper risk management techniques, such as position sizing and using stop loss.
Fourier Smoothed Volume Zone Oscillator (FSVZO) [AlgoAlpha]Description
The Fourier Smoothed Volume Zone Oscillator (FSVZO) is an implementation of the Discrete Fourier Transform in a Volume Zone Oscillator. Its purpose is to smooth price data and reduce noise to provide a more clear and accurate indication of price movement. This indicator also includes additional EMA smoothing to accurately depict reversals.
Discrete Fourier Transform
The Discrete Fourier Transform (DFT) is a mathematical algorithm used to convert discrete time-domain data into its frequency-domain representation. By decomposing a signal into its constituent frequencies, it reveals the amplitude and phase information associated with each frequency component.
Volume Zone Oscillator
The Volume Zone Oscillator is an indicator that combines volume and price data to provide insights into market trends and momentum. It calculates the difference between the volume traded above and below a specified price level and represents it as a line plot on the chart. The Volume Zone Oscillator helps traders identify periods of high buying or selling pressure and can be used to confirm trends, spot divergences, and generate trading signals. By analyzing the relationship between volume and price, traders can gain a deeper understanding of market dynamics and make more informed trading decisions.
Features
This indicator incorporates Ehler's Universal Oscillator concept and presents a histogram to provide valuable insights into the market's noise levels. Ehler's Universal Oscillator represents the statistical model that characterizes random and unpredictable market behavior. By utilizing this concept, the histogram enhances traders' ability to identify periods of increased or decreased volatility in the market.
How to use it?
Green dots and lines represent bullish price movement, while red dots and lines indicate bearish price movement. These signals gain additional strength when considering our oversold and overbought zones. Traders and investors can leverage these signals to initiate long positions when green signals coincide with oversold conditions, and vice versa. By combining these signals in synergy with Ehler's Universal Oscillator, a more precise representation of market trends can be achieved. To optimize its effectiveness, it is advisable to integrate this indicator with complementary technical analysis tools and incorporate it into a comprehensive trading strategy. Traders are encouraged to explore diverse settings and timeframes to align the indicator with their individual trading preferences and adapt it to prevailing market conditions.
Utility
By combining the FSVZO indicator with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions. It empowers traders and investors to evaluate the intensity of buying or selling pressure, detect potential trend reversals or continuations, and ultimately make more informed trading decisions. This information can serve as confirmation or validation for other technical indicators, enabling traders to identify potential market turning points and enhance their comprehension of market dynamics.
The indicator offers several valuable applications, including the detection of divergence patterns between volume and price, identification of accumulation or distribution phases, and assessment of overall market trend strength. It accommodates various trading styles, such as swing trading, trend following, or mean reversion strategies. By leveraging these capabilities, traders can expand their toolkit and make more informed trading decisions.
Originality
The originality of the script lies in the combination of the Fourier analysis, white noise calculations, and the Volume Zone Oscillator. It provides a unique perspective on market dynamics and can be used to identify potential trading opportunities based on overbought and oversold conditions as well as trend reversals. Special thanks to @QuantiLuxe for their assistance in the development of this indicator
Total number strength by ticker volumeThis is about stocks, which I always analyze.
Figure this out by looking at what the code calls ta.secutity.
This indicator plots the highest value of the ratio of total volume to individual volume for the stock you are analyzing, and the histogram tumbles to red when the stock changes in that value. The changed value is plotted as a label above that histogram. By using this indicator, you can determine which is currently the focus of attention, and if there are outliers, you will know by the histogram's detachment.
The parameters are explained below, but Timefream is the market value to be determined
setvalue sets the item to be judged, and lenght sets the time period to be judged. setvalue is the parameter that determines the timeframe for the judgment. vol is the volume, VP is the total purchase price, VPMA is its average, VPMAD is the detachment from its average, MA is the average of the vol, MAD is the detachment from its average, LRC is the average of the vol, and LRC is the average of the vol. value of linear regression, and also
The calculation of detachment is not negative because it comes out as a square, but it is not a problem because it is calculated as a percentage.
There is a *problem, and if the timefreame to be displayed is not calculated below the value of timefreame, an error will occur. We are currently searching for a solution to this problem. If you know the solution, I would appreciate it if you could let me know in the chat.
MADALGO's Fear and Greed OscillatorThe Fear and Greed Oscillator is a dynamic tool designed to gauge market sentiment by analyzing various components such as volatility, momentum, and volume. This indicator synthesizes multiple metrics to provide a singular view of market emotion, oscillating between fear and greed.
🔷 Calculation -
The oscillator integrates the following components, each normalized and weighted to contribute equally:
ATR (Average True Range): Represents market volatility.
MACD (Moving Average Convergence Divergence): Captures market momentum.
RSI (Relative Strength Index): Provides insights into overbought or oversold conditions.
Volume: Reflects market participation levels.
Each component is first normalized to ensure a balanced impact and then averaged to create the final oscillator value.
🔷 Color Coding -
The oscillator's plot changes color based on its value, representing market sentiment:
Green: Indicates a leaning towards greed.
Red: Suggests a leaning towards fear.
The intensity of the color represents the strength of the sentiment.
🔷 Usage -
This indicator is valuable for traders looking to understand market sentiment. It works best when combined with other forms of analysis, such as fundamental or other technical indicators, to form a comprehensive trading strategy.
🔷 Signal Lines -
Two horizontal lines represent extreme conditions:
A line for Extreme Fear.
Another for Extreme Greed.
These lines help identify when the market sentiment is at potentially unsustainable levels.
🔷 Customization -
The Fear and Greed Oscillator is designed with flexibility in mind, allowing users to adjust several parameters to match their specific analysis requirements. Understanding and utilizing these customization options can significantly enhance the indicator's relevance and effectiveness in various market conditions.
1. Length Parameters:
ATR and RSI Length: This input determines the period over which the Average True Range (ATR) and the Relative Strength Index (RSI) are calculated. Adjusting this length can affect the sensitivity of the oscillator to recent market movements. A shorter length makes the oscillator more responsive to recent changes, while a longer length smoothens it, reducing sensitivity to short-term fluctuations.
MACD Parameters: These include the Fast Length, Slow Length, and Signal Smoothing. By adjusting these, users can control how the Moving Average Convergence Divergence (MACD) component reacts to price movements. This customization is crucial for aligning the oscillator with different trading strategies, whether short-term or long-term focused.
Volume Length: This parameter sets the period for the moving average and standard deviation calculations of the volume component. Altering this length allows the oscillator to either emphasize recent volume changes or consider a broader historical context.
2. Weight Adjustments:
Component Weights: Each component (ATR, MACD, RSI, Volume) has an associated weight factor. These weights determine the relative influence of each component on the final oscillator value. Users can increase the weight of a component to give it more influence or decrease it to lessen its impact. This feature is particularly beneficial for traders who have a preference or insight into which market aspects are more indicative of fear or greed at given times.
Balancing the Components: The key to effective customization lies in balancing these weights to reflect the user's market perspective and trading style. For instance, a trader focusing on volatility might increase the weight of the ATR, while one interested in momentum might prioritize the MACD and RSI weights.
3. Color and Signal Line Customization:
Color Intensity: The intensity of the color gradient of the oscillator line can be a visual aid in quickly identifying market sentiment. Users can experiment with the colorValue calculation within the script to adjust how rapidly the color changes with the oscillator values
Extreme Levels: The extreme fear and greed levels, represented by horizontal lines, are customizable. Users can set these levels based on historical data analysis or personal risk tolerance. These lines act as alerts for potentially overextended market conditions.
🔷 Limitations -
As with any technical tool, the Fear and Greed Oscillator should not be used in isolation. It does not predict market direction but rather gauges the prevailing market emotion. Its effectiveness may vary across different markets and timeframes.
🔷 Conclusion -
The Fear and Greed Oscillator offers a unique perspective on market sentiment, encapsulating various aspects of market behavior into a single indicator. It serves as a versatile tool for traders aiming to understand the emotional undercurrents of the market.
🔷 Risk Disclaimer -
Financial trading involves significant risk. The value of investments can fluctuate, and past performance is not indicative of future results. This indicator is for informational purposes and should not be construed as financial advice. Always consider your personal circumstances and seek independent advice before making financial decisions.
Logarithmic CVD [IkkeOmar]The LCVD is another Mean-Reversion Indicator. it doesn't detect trends and does not give a signal per se. However the logarithmic transformation is made to visualize the direction of the trend for the volume. This allows you to see if money is flowing in or out of an asset.
What it does is tell you if we have a flashcrash based on the difference in volume.
Think of this indicator like a form of a volatility index.
Smoothing input:
The only input is an input for the smoothing length of the logDelta.
Volume Calculation:
// @IkkeOmar
//@version=5
indicator('Logarithmic CVD', shorttitle='CVD', overlay=false)
smooth = input.int(defval = 25, title = "Smoothing Distance")
// Calculate buying and selling volume
askVolume = volume * (close > open ? 1 : 0) // Assuming higher close than open indicates buying
bidVolume = volume * (close < open ? 1 : 0) // Assuming lower close than open indicates selling
// Delta is the difference between buying and selling volume
delta = askVolume - bidVolume
// Apply logarithmic transformation to delta
// Adding a check to ensure delta is not zero as log(0) is undefined
logDelta = delta > 0 ? math.log(math.abs(delta)) * math.sign(delta) : - math.log(math.abs(delta)) * math.sign(delta)
// use the the ta lib for calculating the sma of the logDelta
smoothLogDelta = ta.sma(logDelta, smooth)
// Create candlestick plot
plot(logDelta, color= color.green, title='Logarithmic CVD')
plot(smoothLogDelta, color= color.rgb(145, 37, 1), title='Smooth CVD')
These lines calculate the buying and selling volumes. askVolume is calculated as the total volume when the closing price is higher than the opening price, assuming this indicates buying pressure. bidVolume is calculated as the total volume when the closing price is lower than the opening price, assuming selling pressure.
The Delta is simply the difference between buying and selling volumes.
Logarithmic Transformation:
logDelta = delta > 0 ? math.log(math.abs(delta)) * math.sign(delta) : - math.log(math.abs(delta)) * math.sign(delta)
Applies a logarithmic transformation to delta. The math.log function is used to calculate the natural logarithm of the absolute value of delta. The sign of delta is preserved to differentiate between positive and negative values. This transformation helps in scaling the delta values, especially useful when dealing with large numbers.
This script essentially provides a visual representation of the buying and selling pressures in a market, transformed logarithmically for better scaling and smoothed for trend analysis.
Hope it makes sense!
Stay safe everyone!
Don't hesitate to ask any questions if you have any!
