Indicator
Tape [LucF]█ OVERVIEW
This script prints an ersatz of a trading console's "tape" section to the right of your chart. It displays the time, price and volume of each update of the chart's feed. It also calculates volume delta for the bar. As it calculates from realtime information, it will not display information on historical bars.
█ FEATURES
Calculations
Each new line in the tape displays the last price/volume update from the PulseWire feed that's building your chart. These updates do not necessarily correspond to ticks from the originating broker/exchange's matching engine. Multiple broker/exchange ticks are often aggregated in one chart update.
The script first determines if price has moved up or down since the last update. The polarity of the price change, in turn, determines the polarity of the volume for that specific update. If price does not move between consecutive updates, then the last known polarity is used. Using this method, we can calculate a running volume delta accumulation for the bar, which becomes the bar's final volume delta value when the bar closes (you can inspect values of elapsed realtime bars in the Data Window or the indicator's values). Note that these values will all reset if the script re-executes because of a change in inputs or a chart refresh.
While this method of calculating volume delta is not perfect, it is currently the most precise way of calculating volume delta available on PulseWire at the moment. Calculating more precise results would require scripts to have access to bid/ask levels from any chart timeframe. Charts at seconds timeframes do use exchange/broker ticks when the feeds you are using allow for it, and this indicator will run on them, but tick data is not yet available from higher timeframes, for now. Also note that the method used in this script is far superior to the intrabar inspection technique used on historical bars in my other "Delta Volume" indicators. This is because volume delta here is calculated from many more realtime updates than the available intrabars in history.
Inputs
You can use the script's inputs to configure:
• The number of lines displayed in the tape.
• If new lines appear at the top or bottom.
• If you want to hide lines with low volume.
• The precision of volume values.
• The size of the text and the colors used to highlight either the tape's text or background.
• The position where you want the tape on your chart.
• Conditions triggering three different markers.
Display
Deltas are shown at the bottom of the tape. They are reset on each bar. Time delta displays the time elapsed since the beginning of the bar, on intraday timeframes only. Contrary to the price change display by PulseWire at the top left of charts, which is calculated from the close of the previous bar, the price delta in the tape is calculated from the bar's open, because that's the information used in the calculation of volume delta. The time will become orange when volume delta's polarity diverges from that of the bar. The volume delta value represents the current, cumulative value for the bar. Its color reflects its polarity.
When new realtime bars appear on the chart, a ↻ symbol will appear before the volume value in tape lines.
Markers
There are three types of markers you can choose to display:
• Marker 1 on volume bumps. A bump is defined as two consecutive and increasing/decreasing plus/minus delta volume values,
when no divergence between the polarity of delta volume and the bar occurs on the second bar.
• Marker 2 on volume delta for the bar exceeding a limit of your choice when there is no divergence between the polarity of delta volume and the bar. These trigger at the bar's close.
• Marker 3 on tape lines with volume exceeding a threshold. These trigger in realtime. Be sure to set a threshold high enough so that it doesn't generate too many alerts.
These markers will only display briefly under the bar, but another marker appears next to the relevant line in the tape.
The marker conditions are used to trigger alerts configured on the script. Alert messages will mention the marker(s) that triggered the specific alert event, along with the relevant volume value that triggered the marker. If more than one marker triggers a single alert, they will overprint under the bar, which can make it difficult to distinguish them.
For more detailed on-chart analysis of realtime volume delta, see my Delta Volume Realtime Action .
█ NOTES FOR CODERS
This script showcases two new Pine features:
• Tables, which allow Pine programmers to display tabular information in fixed locations of the chart. The tape uses this feature.
See the Pine User Manual's page on Tables for more information.
• varip -type variables which we can use to save values between realtime updates.
See the " Using `varip` variables " publication by PineCoders for more information.
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MACD, RSI, & RVOL Strategy
This strategy combines the use of MACD (12, 26, 9), RSI (14, 30, 70), and RVOL (14) to create Long Buy and Sell signals. This works well with many different time intervals but was developed with 15-minute intervals in mind.
Using MACD as a reference, the strategy identifies when the MACD line crosses over (a factor in a buy signal) and under (a factor in a Sell signal) the Signal line. This shows a shift in positive (cross over) and negative (cross under) of a security.
Using the Relative Strength Index ( RSI ) as an indicator, the strategy notices when the velocity and magnitude of the directional price movements cross over the Oversold signal (30) and crosses under the Overbought signal (70) as a factor in creating a Buy and Sell signal.
Using Relative Volume (RVOL) as an indicator, the strategy calculates when the current volume has crossed over the 2x average volume indicator over a given period and is then used as a factor in creating a Buy signal. RVOL is also used when the change in volume crosses under a set RVOL number (in this strategy, it is set to a RVOL of 5).
RVOL = Current Volume / Average Volume over a certain period
This strategy indicates a Buy signal when 2/3 conditions are met:
- RSI Cross Over the Over Sold signal (default 30)
- MACD Cross Over of Signal ( MACD > Signal)
- RVOL Cross Over of 2 (RVOL > 2)
This strategy indicates a Sell signal when 2/3 conditions are met:
- RSI Cross Under the Over Bought signal (default 70)
- MACD Cross Under of Signal ( MACD < Signal)
- RVOL Cross Under 5 (RVOL < 5)
Enjoy and leave feedback! Strategy
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Linear Regression Channel / Curve / Slope by DGTTʜᴇ Lɪɴᴇᴀʀ Rᴇɢʀᴇꜱꜱɪᴏɴ Cʜᴀɴɴᴇʟꜱ
Linear Regression Channels are useful measure for technical and quantitative analysis in financial markets that help identifying trends and trend direction. The use of standard deviation gives traders ideas as to when prices are becoming overbought or oversold relative to the long term trend
The basis of a linear regression channel
Linear Regression Line – is a line drawn according to the least-squares statistical technique which produces a best-fit line that cuts through the middle of price action, a line that best fits all the data points of interest. The resulting fitted model can be used to summarize the data, to predict unobserved values from the same system. Linear Regression Line then present basis for the channel calculations
The linear regression channel
2. Upper Channel Line – A line that runs parallel to the Linear Regression Line and is usually one to two standard deviations above the Linear Regression Line.
3. Lower Channel Line – This line runs parallel to the Linear Regression Line and is usually one to two standard deviations below the Linear Regression Line.
Unlike Fibonacci Channels and Andrew’s Pitchfork, Linear Regression Channels are calculated using statistical methods, both for the regression line (as expressed above) and deviation channels. Upper and Lower channel lines are presenting the idea of bell curve method, also known as a normal distribution and are calculated using standard deviation function.
A standard deviation include 68% of the data points, two standard deviations include approximately 95% of the data points and any data point that appears outside two standard deviations is very rare.
It is often assumed that the data points will move back toward the average, or regress and channels would allow us to see when a security is overbought or oversold and ready to revert to the mean
please note : Over time, the price will move up and down, and the linear regression channel will experience changes as old prices fall off and new prices appear
█ Linear Regression Study Features
Linear Regression Channel
- Linear regression line as basis
- Customizable multiple channels based on Standard Deviation
- ALERTs for the channel levels
Linear Regression Curve
- Linear regression curve as basis
- Optional : Bands based on Standard Deviation or Volatility (ATR). Bands are applied with fixed levels 1, 2 and 3 times StdDev or ATR away from the curve
Linear Regression Slope
- Optional : Up/Down slope arrows for a used defined period
█ Volume / Volatility Add-Ons
High Volatile Bar Indication
Volume Spike Bar Indication
Volume Weighted Colored Bars
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Simple Volume Oscillator (SVO), by @BlueJayBirdSimple Volume Oscillator, or SVO. I came up with this idea while studying Spread Volume Analysis (SVA). It uses the Trading View's built-in RSI function to simplify volume values for further interpretation.
// -------------------- ENGLISH, Inglés
How to Use:
- When there's little volume activity, expect the oscillator to be closer to the zero line.
- Wait for a probable sudden increment up to close 100 when volume enters into the market.
- It works pretty much as a volatility oscillator, but it eliminates the noise of the price, and the noise of the volume bars, always so vertical and linear, which sometimes are hard to understand at first glance.
- As any oscillator, it suffers from some lagging when compared to the price action, but for the most part is pretty accurate.
- Remember the cyclical nature of markets: If things are quite, something is coming.
- NOTE: The oscillator WILL NOT indicate market direction, that bias is up to the analyst to find out.
- Like. Follow. Comment.
// -------------------- SPANISH, Español
Cómo usar:
- Cuando hay poca actividad de volumen, el oscilador debería estar cercano a cero.
- Esperá por un posible incremento repentino hasta 100 cuando entre volumen en el mercado.
- Funciona de manera similar a un oscilador de volatilidad, pero elimina cualquier ruido del precio, y el ruido de las barras de volumen, siempre tan verticales y lineales, lo que las hace difícil de descifrar a simple vista.
- Como cualquier oscilador, sufre de un ligero retraso respecto de la acción del precio, pero por lo demás, es bastante preciso.
- Recordá la naturaleza cíclica de los mercados: Si las cosas están quietas, es porque algo está por suceder.
- NOTA: Este oscilador NO VA A decirte qué dirección va a seguir el precio; eso es algo que vas a tener que descubrir por tu cuenta.
- Like, seguí, comentá.
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Indicator
Volume Profile [LuxAlgo]Displays the estimate of a volume profile, with the option to show a rolling POC (point of control). Users can change the lookback, row size, and various visual aspects of the volume profile.
Settings
Basic:
Lookback: Number of most recent bars to use for the calculation of the volume profile
Row Size: Determines the number of rows used for the calculation of the volume profile
Show Rolling POC: Determines whether to display the rolling POC of the volume profile
Style:
Width (% of the box): Determines the length of the bars relative to the Lookback value
Bar Width: Width of each bar
Flip Histogram: Flips the histogram, when enabled, the histogram base will be located at the most recent candle
Gradient: Allows to color the volume profile bars with a gradient, with a color intensity determined by the length of each bar
Rows Solid Color: Color of each bar when 'Gradient' is disabled
POC Solid Color: Color of the POC when 'Gradient' is disabled
Usage
It is very common to display volume over time in order to visualize the trading activity made over a specific candle, however this is not the only way to display volume and it can be interesting to put it in relation with the price, which is what volume profiles do.
Volume profiles are displayed as price relative histograms showing the accumulated volume within certain price areas, the number of areas are determined by the row size of the volume profile. Knowing which price's area accumulated the most volume allow highlighting areas of interest to market participants.
Most accumulated volume will be encountered in zones of equilibrium between buyers and sellers; that is zones of local price stationarity. These zones are highlighted by high volume nodes in the volume profile. Imbalance between buyers and sellers are highlighted by thinner zones of the volume profile.
The price level with the most accumulated volume is highlighted by the "point of control" (POC), displayed by the dotted line in the indicator.
The POC is often considered an important level, commonly used as support/resistance by traders. One can verify the accuracy of this use case by using the rolling POC (assuming one would use the POC over time as SR).
Indicator Limitations
Volume profiles are calculated using tick data, which is not the case of this estimate, as such you won't have an accurate representation of an actual volume profile.
The rolling POC can introduce time outs in the script computation, use lower lookback and row size value to display it. Indicator
Average Dollar VolumeDollar volume is simply the volume traded multiplied times the cost of the stock.
Dollar volume is an extremely important metric for finding stocks with enough liquidity for market makers to position themselves in. Market Liquidity is defined as market's feature whereby an individual or firm can quickly purchase or sell an asset without causing a drastic change in the asset's price. The key concept you want to understand is that these big instructions with billions of dollars need liquidity in a stock in order to even think about buying it, and therefore these institutions will demand a large dollar volume. A good dollar volume amount, that represents a pretty liquid name, is typically above 100 million $ average. Why are institutions important? Simple because they are the ones who make stocks move, and I mean really move. If you want to see large growth from a stock in a short amount of time, you need institutions wielding billions of dollars to be fighting one another to buy more shares. Institutions are the ones who make or break a stock, this is why we call them market makers.
My script calculates average dollar volume using four averages: the 50, the 30, the 20, and the 10 period. I use multiple averages in order to provide the accurate and up to date information to you. It then selects the minimum of these averages and divides this value by 1 million and displays this number to you.
TL;DR? If you want monster moves from your stocks, you need to pick names with average high liquidity(dollar volume >= $100 million). The number presented to you is in millions of whatever currency the name is traded in. Indicator
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[SK] Custom Klinger OscillatorThis Custom Klinger Oscillator allows you to change the time frames for the Force Volume and Signal calculations to use instead of it's default values. Although the default Fibonacci values ( 34, 55 and 13 ) provide exceptional signals, you can now explore using lower Fibonacci numbers and get faster signals for your own adventures in the market.
This indicator adds conditional coloring of the Klinger line when over / under the signal along with a transparent fill cloud between both lines colored by the same condition. You can change colors to your preference on the style configurations.
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Below is more information on the KIinger Oscillator from investopedia:
Interpretations for Price Direction
The Klinger Oscillator is fairly complex to calculate, but it's based on the idea of force volume, which accounts for volume, trend (positive or negative), and temp (based on multiple inputs and if/then statements). Using this data, the oscillator is created by looking at the difference between two exponential moving averages of force volume involving different time frames (typically 34 and 55). The idea is to show how the volume flowing through the securities is impacting its long-term and short-term price direction.
The Signal Line
A signal line (13-period moving average) is used to trigger buy or sell signals. This technique is very similar to signals that are created with other indicators such as the moving average convergence divergence (MACD). While these are the basic signals generated by these indicators, it's important to note that these techniques may generate a lot of trading signals that may not be as effective in sideways markets.
The Uptrend
When an asset is in an overall uptrend—such as when it is above its 100-period moving average and the Klinger is above zero or moving above zero—traders could buy when the Klinger oscillator moves above the signal line from below.
Klinger noted that when a stock was in an uptrend, and then dropped to unusually low levels below zero, and then moved above its signal line, this was a favorable long position to take.
The Downtrend
When an asset is in an overall downtrend, traders could sell or short-sell when the Klinger oscillator moves below the signal line from above. Klinger noted this was especially noteworthy when the indicator had seen an uncharacteristic spike above zero.
The zero line is also used by some traders to mark the transition from an uptrend to downtrend, or vice versa. While such signals won't always agree with price movements, a move above zero helps confirm a rising price, while a drop below zero helps confirm a falling price.
Klinger Oscillator and Divergence
The Klinger oscillator also uses divergence to identify when the indicator's inputs are not confirming the direction of the price move. It's a bullish sign when the value of the indicator is heading upward while the price of the security continues to fall. It is a bearish signal when the price is rising but the indicator is falling. Divergence can be coupled with signal line crossovers to generate trades. For example, if a bearish divergence forms, a sell or short-sell could be initiated the next time the Klinger crosses below the signal line. Indicator
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Volume Profile per day with support/resistance linesThis indicator shows the volume profile by daily blocks and draws on the chart the support or resistance lines produced by the previous volume profile block. A support line will be created if in the previous block, the VPOC line was closer to the lowest price line of that block. This support line will be placed below the VPOC line, at a distance equal to the difference between the highest price of that block and the VPOC price. For the case of the resistance line, the logic applied is analogous.
These support and resistance lines are introduced because, according to the Gaussian bell, the VPOC is likely to be located in the middle, and these deviations can be used to trace support and resistance.
In addition, the indicator includes the following features:
- Change the colors of all plotted lines.
- Define the number of daily blocks to be displayed.
- Define the resolution when calculating the volume of each candle.
- Define the number of support/resistance lines to be displayed.
- Highest and lowest price lines, as well as vpoc line, volume histogram and support and resistance lines.
- Display or not, the vpoc line and the volume histogram.
The calculations performed by the script improve if the candles used are of a lower timeframe. This indicator has been tested in several markets, including cryptos, CFDs, Forex and Indices. Indicator
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