Options & Leveraged Shares Heatmap This is the leveraged share/option heatmap / screener.
Tradingview offers a few different tickers that have PTCR data on the daily timeframe. So I was able to pull those few tickers that display the PTCR data and format it into a heatmap.
I also had some room to add leveraged share data as well.
It is pretty self explanatory but I will go over it really briefly:
The timeframe is 1 D. This cannot be changed because this is the only timeframe available for the PTCR data.
It will pull the current day PTCR as well as the previous day PTCR and display the PTCR and change value.
The screening will be done according to the 1 day change.
You have the ability to select the option to sort by Max and Min or sort by heatmap:
Displaying max and min will show you the max positive and negative change among all the available tickers.
Max positive = bearish, as this indicates an uptick in Puts.
Max negative = bullish, as this indicates a decline in Puts.
If we flip over to the leveraged shares, it is the same:
To keep it consistent, the leveraged share ratio is displayed similar to PTCR. It is Sell to Buy ratio. The higher the ratio, the more selling and vice versa.
Thus, the same rules apply. Max positive = bearish and max negative = bullish.
If you want to display the heatmap, this is what it will look like:
The darker the blue, the higher the change in either a negative or positive direction. The same for the leveraged shares:
And that is the indicator.
Hopefully you find it helpful. I like to reference it at the end of each day to see how things are looking in terms of positioning for the following day.
Leave your comments/questions and suggestions below.
Safe trades!
"change" için komut dosyalarını ara
RedK Relative Strength Ribbon: RS Ribbon and RS ChartsRedK Relative Strength Ribbon (RedK RS_Ribbon) is TA tool that plots the Relative Strength of the current chart symbol against another symbol, or an index of choice. It enables us to see when a stock is gaining strength (or weakness) relative to (an index that represents) the market, and when it hits new highs or lows of that relative strength, which may lead to better trading decisions.
I searched TV for existing RS indicators but didn't find what I really wanted, so I put this together and added some additional features for my own use. It started as a simple RS line with new x-weeks Hi/Lo markers, then evolved into what you see here in v1.0 with the ability to plot a full RS chart in regular or HA candle types. Hope this will be useful to some other growth traders here on TV.
What is Relative Strength (RS)
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(RS is a comprehensive concept in TA, below is a quick summary - please research further if it's not already a familiar topic)
Relative Strength (RS) is a technical concept / indicator used mainly by growth / swing / momentum traders to compare the performance of one security or asset against another. RS measures the price performance of a specific security relative to a benchmark, such as an index or another asset. It's not to be confused with the famous Relative Strength Index (RSI) technical indicator
For example, In the context of comparing a stock's relative strength to the SPY (S&P 500) index, the relative strength calculation involves dividing the stock's price or price-related value (e.g., close price) by the corresponding value of the SPY index. The resulting ratio (and its trend over time) indicates the relative performance of the stock compared to the index.
Traders and investors use relative strength analysis to identify securities that have been showing relative strength or weakness compared to a benchmark, which can help in making investment decisions or identifying the "market leaders" and potential trading opportunities.
There are so many books and documentation about the RS concept and its importance to identify market leaders, especially when recovering from a bear market - if you're interested in the concept, please search more about it and review some of that literature. There's also a more detailed definition of Relative Strength in this article on Invstopedia
RedK RS_Ribbon features and options
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The indicator settings provide many options and features - see the settings box below
- Change / choose base symbol
The default is to use SPY as the base symbol - so we're comparing the chart's symbol to a proxy of the S&P 500 - Some traders may prefer to use the QQQ - or other index or ETF that acts as a proxy for the industry / sector / market they are trading
- RS Calculation / RS line
we use the simple form of the RS calculation,
RS = closing price of current chart symbol / closing price of the base symbol (default is SPY) * 100
some RS documentation will use the Rate of Change (RoC) - but that's not what we're using here.
- The RS_Ribbon
* Once the RS line is plotted, it made sense to add couple of moving averages to it, to make it easier to observe the trend of the RS and the changes in that trend as you can see in the sample chart on top.
* The RS_Ribbon is made up of a fast and slow moving averages and will change color (green / red) based on detected trend RS direction - the 2 MA types and lengths can be changed until you get the setup that provides the best view for you of the RS trend over time. My preferred settings are used as defaults here.
- Identifying New (x)Week Hi/Lo RS Values
* Most traders would be interested when the calculated RS hits a new 52-week high or low value.
* There are cases where we may want to see when a new RS Hi/Lo has been hit for a different period - for example, a quarter (13 weeks)
* the number of weeks can be changed as well as adjusting the numbers of trading days per week (if needed for certain symbols/exchanges)
- Working with Different Timeframes
* Now these "markers" will only be available in the daily and weekly timeframes and there is a good reason for that, it's not the fact that i'm lazy :) and that enabling this in timeframes lower than 1D would have been some heavy lifting, but the reality is that with RS, we're really interested if a "day's close" hits a new RS high or low value against the moving window of x weeks (and the weeks close also) - if you think of this more, at lower TF, RS can hit a lower value that never end up registering on the daily closing and that causes a lot of visual confusion. So i took the "cleaner way out" of that issue.
* note that you can choose a different timeframe for the RS_Ribbon than the chart - if you do, please make sure the chart is at a lower timeframe than the indicator's - (and in that case remember to hide the candles because they won't make much sense)
i wanted to leverage TV's built-in multi-Timeframe (MTF) support with the caveat that using the indicator at lower TF with a chart at a higher TF (example chart at 1Wk and indicator at 1D) will show inaccurate results. If this sounds confusing, keep the indicator TF same as the chart.
the example here shows a 2-Hr chart against 1D RS_Ribbon
- Using RS Charts and RS Candles
* Beside the ability to plot the RS "closing" value with the RS line, the indicator provides the ability to show a "full" RS Chart with candles that represent the relative values of open, high, low. and close against the base symbol.
* the RS Charts can be used for regular chart analysis, for example, we can identify common chart patterns like Cup & Handle, VCP, Head & Shoulder..etc using these charts .. which can provide some edge over the price charts
* for the Heikin Ashi fans, I added the ability to choose classic or HA candles for the chart. note you have to enable the option to show the RS candles first before you choose the option to switch to HA.
The chart below shows a side-by-side comparison on the 2 RS chart types
Closing remarks
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* RS is a good way to identify market/sector leaders (who will usually recover from a bear market before others) - and enable us to see the strength that comes from the broader makrket versus the one that comes from the stock's own performance and identify good trading opportunities
* I'll continue to update this work and alerts will come in next version - but wanted to check initial reaction and value
* as usual, if you decide to use this in your chart analysis, it's necessary to combine with other momentum, trend, ...etc indicators and do not make trading decision only based on the signales from a single indicator
Quarterly EarningsThis script displays quarterly earnings per share (EPS) and sales data, and their year-on-year percentage change.
The script builds upon the Volume Price and Fundamentals script by Mohit_Kakkar08 and improves upon the array functions to keep the code light-weight & the output as accurate as possible. This script uses diluted EPS data for calculating the quarterly earnings. New quarters are auto-generated by the script as the earnings data gets updated in Tradingview every quarter.
Features:
⦿ View quarterly earnings per share (EPS) and sales data.
⦿ The percentage change is a YoY (year on year) comparison of the current quarter to the same quarter of the previous year.
⦿ Option to change the data from Quarterly (FQ) to Yearly (FY) .
⦿ Long mode : Option to increase the number of previous quarters displayed in the table (default is the past 4 quarters) to any number.
⦿ Location & size of the table can be changed.
⦿ Option for a 1-click dark mode
⦿ Option for a ' Mini mode ' where the values are replaced by traffic lights for a quick visual:
🟢 or 🔵 YoY increase in earnings/sales
🔴 or 🟣 YoY decrease in earnings/sales
🟡 or 🟠 YoY earnings/sales unchanged
⚪️ No data available
⦿ The top-left cell has the option to display either the free float (FF) or the marketcap (Mcap) of the stock.
Please note that sometimes the Tradingview data reflected in the script output might differ a bit from MarketSmith. Also make sure you are viewing the 'consolidated' data there.
This script was developed as a collaboration between me & @EquityCraze .
MW Volume ImpulseMW Volume Impulse
Settings
* Moving Average Period: The moving average period used to generate the moving average line for the bar chart. Default=14
* Dot Size: The size of the dot that indicates when the moving average of the CVD is breached. Default=10
* Dot Transparency: The transparency of the dot that indicates when the moving average of the CVD is breached. Default=50
* EMA: The exponential moving average that the price must break through, in addition to the CVD moving
* Accumulation Length: Period used to generate the Cumulative Volume Delta (CVD) for the bar chart. Default=14
Introduction
Velocity = Change in Position over time
Acceleration = Change in Velocity over time
For this indicator, Position is synonymous with the Cumulative Volume Delta (CVD) value. What the indicator attempts to do is to determine when the rate of acceleration of buying or selling volume is changing in either or buying or selling direction in a meaningful way.
Calculations
The CVD, upon which these changes is calculated using candle bodies and wicks. For a red candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks, while Selling Volume is calculated multiplying the volume by the spread percentage of the average of the top and bottom wicks - in addition to the spread percentage of the candle body.
For a green candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks - plus the spread percentage of the candle body - while Selling Volume is calculated using only the spread percentage average of the top and bottom wicks.
How to Interpret
The difference between the buying volume and selling volume is the source of what generates the red and green bars on the indicator. But, more specifically, this indicator uses an exponential moving average of these volumes (14 EMA by default) to determine that actual bar size. The change in this value indicates the velocity of volume and, ultimately, the red and green bars on the indicator.
- When the bar height is zero, that means that there is no velocity, which indicates either a balance between buyers and sellers, or very little volume.
- When the bar height remains largely unchanged from period to period - and not zero - it means that the velocity of volume is constant in one direction. That direction is indicated by the color of the bar. Buyers are dominating when the bars are green, and sellers are dominating when the bars are red.
- When the bar height increases, regardless of bar color, it means that volume is accelerating in a buying direction.
- When the bar height decreases, regardless of bar color, it means that volume is accelerating in a selling direction.
The white line represents the moving average of the bar values, while the red and white - and green and white - dots show when the moving average has been breached by the Cumulative Volume Delta value AND the price has broken the 7 EMA (which is user editable). As with most moving averages, a breach can indicate a move in a bearish or bullish direction, and the sensitivity can be adjusted for differing market conditions
Other Usage Notes and Limitations
For better use of the signal, consider the following,
1. Volume moving below the moving average can indicate that the volume may be ready to exit an overbought condition, especially if the bars were making lower highs prior to the signal - regardless of bar color.
3. Volume moving above the moving average can indicate that the volume may be ready to exit an oversold condition, especially if the bars were making higher lows prior to the signal - regardless of bar color.
Additionally, a green dot that occurs with a positive (green) Cumulative Volume Delta can indicate a buying condition, while a red dot that occurs with a negative (red) Cumulative Volume Delta can indicate a selling condition. What this means is that buying or selling momentum briefly went against the direction of buying or selling Cumulative Volume Delta , but was not strong enough to change the buying or selling direction. In cases like this, once the volume begins to accelerate again in the direction of the buying or selling volume - indicated by a red or green dot - then the price is more likely to favor the direction of the Cumulative Volume Delta and its corresponding acceleration.
Although a red or green signal can indicate a change in direction, this script cannot predict the magnitude or duration of the change. It is best used with accompanying indicators that can be used to confirm a direction change, such as a moving average, or a supply or demand range.
RAINBOW AVERAGES - INDICATOR - (AS) - 1/3
-INTRODUCTION:
This is the first of three scripts I intend to publish using rainbow indicators. This script serves as a groundwork for the other two. It is a RAINBOW MOVING AVERAGES indicator primarily designed for trend detection. The upcoming script will also be an indicator but with overlay=false (below the chart, not on it) and will utilize RAINBOW BANDS and RAINBOW OSCILLATOR. The third script will be a strategy combining all of them.
RAINBOW moving averages can be used in various ways, but this script is mainly intended for trend analysis. It is meant to be used with overlay=true, but if the user wishes, it can be viewed below the chart. To achieve this, you need to change the code from overlay=true to false and turn off the first switch that plots the rainbow on the chart (or simply move the indicator to a new pane below). By doing this, you will be able to see how all four conditions used to detect trends work on the chart. But let's not get ahead of ourselves.
-WHAT IS IT:
In its simplest form, this indicator uses 10 moving averages colored like a rainbow. The calculation is as follows:
MA0: This is the main moving average and can be defined with the type (SMA, EMA, RMA, WMA, SINE), length, and price source. However, the second moving average (MA1) is calculated using MA0 as its source, MA2 uses MA1 as the data source, and so on, until the last one, MA9. Hence, there are 10 moving averages. The first moving average is special as all the others derive from it. This indicator has many potential uses, such as entry/exit signals, volatility indication, and stop-loss placement, but for now, we will focus on trend detection.
-TREND DETECTION:
The indicator offers four different background color options based on the user's preference:
0-NONE: No background color is applied as no trend detection tools is being used (boring)
1-CHANGE: The background color is determined by summing the changes of all 10 moving averages (from two bars). If the sum is positive and not falling, the background color is GREEN. If the sum is negative and not rising, the background color is RED. From early testing, it works well for the beginning of a movement but not so much for a lasting trend.
2-RAINBW: The background color is green when all the moving averages are in ascending order, indicating a bullish trend. It is red when all the moving averages are in descending order, indicating a bearish trend. For example, if MA1>MA2>MA3>MA4..., the background color is green. If MA1 threshold, and red indicates width < -threshold.
4-DIRECT: The background color is determined by counting the number of moving averages that are either above or below the input source. If the specified number of moving averages is above the source, the background color is green. If the specified number of moving averages is below the source, the background color is red. If all ten MAs are below the price source, the indicator will show 10, and if all ten MAs are above, it will show -10. The specific value will be set later in the settings (same for 3-TSHOLD variant). This method works well for lasting trends.
Note: If the indicator is turned into a below-chart version, all four color options can be seen as separate indicators.
-PARAMETERS - SETTINGS:
The first line is an on/off switch to plot the skittles indicator (and some info in the tooltip). The second line has already been discussed, which is the background color and the selection of the source (only used for MA0!).
The line "MA1: TYP/LEN" is where we define the parameters of MA0 (important). We choose from the types of moving averages (SMA, EMA, RMA, WMA, SINE) and set the length.
Important Note: It says MA1, but it should be MA0!.
The next line defines whether we want to smooth MA1 (which is actually MA0) and the period for smoothing. When smoothing is turned on, MA0 will be smoothed using a 3-pole super smoother. It's worth noting that although this only applies to MA0, as the other MAs are derived from it, they will also be smoothed.
In the line below, we define the type and length of MAs for MA2 (and other MAs except MA0). The same type and length are used for MA1 to MA9. It's important to remember that these values should be smaller. For example, if we set 55, it means that MA1 is the average of 55 periods of MA0, MA2 will be 55 periods of MA1, and so on. I encourage trying different combinations of MA types as it can be easily adjusted for ur type of trading. RMA looks quirky.
Moving on to the last line, we define some inputs for the background color:
TSH: The threshold value when using 3-TSHOLD-BGC. It's a good idea to change the chart to a pane below for easier adjustment. The default values are based on EURUSD-5M.
BG_DIR: The value that must be crossed or equal to the MA score if using 4-DIRECT-BGC. There are 10 MAs, so the maximum value is also 10. For example, if you set it to 9, it means that at least 9 MAs must be below/above the price for the script to detect a trend. Higher values are recommended as most of the time, this indicator oscillates either around the maximum or minimum value.
-SUMMARY OF SETTINGS:
L1 - PLOT MAs and general info tooltip
L2 - Select the source for MA0 and type of trend detection.
L3 - Set the type and length of MA0 (important).
L4 - Turn smoothing on/off for MA0 and set the period for super smoothing.
L5 - Set the type and length for the rest of the MAs.
L6 - Set values if using 4-DIRECT or 3-TSHOLD for the trend detection.
-OTHERS:
To see trend indicators, you need to turn off the plotting of MAs (first line), and then choose the variant you want for the background color. This will plot it on the chart below.
Keep in mind that M1 int settings stands for MA0 and MA2 for all of the 9 MAs left.
Yes, it may seem more complicated than it actually is. In a nutshell, these are 10 MAs, and each one after MA0 uses the previous one as its source. Plus few conditions for range detection. rest is mainly plots and colors.
There are tooltips to help you with the parameters.
I hope this will be useful to someone. If you have any ideas, feedback, or spot errors in the code, LET ME KNOW.
Stay tuned for the remaining two scripts using skittles indicators and check out my other scripts.
-ALSO:
I'm always looking for ideas for interesting indicators and strategies that I could code, so if you don't know Pinescript, just message me, and I would be glad to write your own indicator/strategy for free, obviously.
-----May the force of the market be with you, and until we meet again,
Price Extrapolator with Std DeviationPrice Extrapolator with Deviation Cones - A Powerful Tool for Predicting Future Prices
Subtitle: Discover how this custom indicator can help you forecast potential price movements with greater accuracy, using historical data.
Introduction
Predicting future price movements is always a challenge for traders and investors. However, by using historical data and statistical analysis, it is possible to make educated guesses about the likelihood of certain outcomes. One such tool for predicting future prices is the Price Extrapolator with Standard Deviation Cones. This custom indicator, can help you visualize potential price movements and their associated risks.
In this post, we will explain how the Price Extrapolator with Deviation Cones works, how to adjust its settings to suit your needs, and how to interpret its output. By the end of this article, you should have a better understanding of how this powerful tool can help you make more informed decisions when trading or investing in financial markets.
Understanding the Price Extrapolator with Deviation Cones
The Price Extrapolator with Deviation Cones is a custom indicator that uses historical price data to calculate the average log return and standard deviation of log returns over a specified period. It then uses this information to extrapolate a series of future price points, as well as upper and lower standard deviation bands that form the "deviation cones."
The average log return represents the expected price change, while the standard deviation of log returns provides a measure of the uncertainty or risk associated with the prediction. The deviation cones can help you visualize the range of potential price movements and assess the likelihood of different outcomes.
Configuring the Indicator
To use the Price Extrapolator with Deviation Cones, you will need to configure several input settings:
1. Length: This setting determines the number of historical data points used to calculate the average log return and standard deviation of log returns. A higher value will produce a smoother, less sensitive indicator, while a lower value will make the indicator more responsive to recent price changes.
2. Number of Future Price Points: This setting controls the number of future price points to extrapolate. Increasing this value will extend the deviation cones further into the future.
3. Multiplier: This setting adjusts the tightness of the deviation cones by controlling the standard deviation multiplier. A higher value will result in wider cones, indicating greater uncertainty, while a lower value will produce narrower cones, suggesting more confidence in the prediction.
Interpreting the Output
After configuring the indicator, you will see the following output on your chart:
1. Green Line: This line represents the extrapolated future price points based on the average log return. It provides a central estimate of potential price movements.
2. Red Lines: These lines form the upper and lower bounds of the deviation cones. They represent the range of potential price movements, taking into account the uncertainty associated with the prediction.
When using the Price Extrapolator with Deviation Cones, it is essential to remember that the output is only a prediction based on historical data and should not be taken as a guarantee of future price movements. However, by providing a visual representation of potential price movements and their associated risks, this indicator can help you make more informed decisions when trading or investing in financial markets.
The Extreme Limitations of the Price Extrapolator with Deviation Cones
While the Price Extrapolator with Deviation Cones can be a valuable addition to your trading toolbox, it is essential to recognize its limitations. As with any forecasting tool, it is not infallible and should be used in conjunction with other forms of analysis. In this section, we will discuss the extreme limitations of this indicator and provide insight into how to use it effectively despite these constraints.
1. Reliance on Historical Data
The Price Extrapolator with Deviation Cones relies heavily on historical price data to make its predictions. While this can provide valuable insights into past trends and patterns, it may not accurately predict future price movements in a constantly changing market.
Market conditions can change rapidly, and historical data may not be a reliable indicator of future performance. Economic events, geopolitical tensions, and changes in market sentiment can all influence price movements in ways that may not be captured by historical data alone.
2. Assumption of Lognormal Distribution
The indicator assumes that price returns follow a lognormal distribution, which may not always be the case. Financial markets can exhibit skewness and kurtosis, resulting in distributions that are not symmetrical or normally distributed. This can lead to inaccurate predictions and a false sense of security when relying on the deviation cones.
3. No Consideration of Fundamental Factors
The Price Extrapolator with Deviation Cones is a purely technical analysis tool, meaning it does not take into account fundamental factors that can influence price movements. Changes in company earnings, interest rates, or economic data can significantly impact asset prices and may not be factored into the indicator's predictions.
4. Limited Time Horizon
The indicator only provides predictions for a limited number of future price points, which may not be sufficient for long-term investors or traders with longer holding periods. Additionally, the accuracy of the predictions may decrease as the time horizon extends, due to the compounding effects of uncertainty and the limitations of historical data.
5. Potential for Overfitting
When adjusting the settings of the Price Extrapolator with Deviation Cones, there is a risk of overfitting the model to the historical data. This can result in an indicator that appears to have excellent predictive power on past data but performs poorly on unseen, future data. It is crucial to be cautious when optimizing the settings and use out-of-sample testing to validate the indicator's performance.
Using the Price Extrapolator with Deviation Cones Effectively
Despite these limitations, the Price Extrapolator with Deviation Cones can still be a valuable tool when used correctly. To use this indicator effectively, consider the following tips:
1. Supplement with Other Forms of Analysis: Use the Price Extrapolator with Deviation Cones alongside other technical and fundamental analysis methods to gain a more comprehensive understanding of potential price movements.
2. Diversify your Trading Strategies: Do not rely solely on the Price Extrapolator with Deviation Cones for your trading decisions. Instead, diversify your strategies and consider multiple indicators and methods to reduce the risk of overreliance on a single tool.
3. Be Cautious with Optimized Settings: When adjusting the indicator's settings, be mindful of the risk of overfitting and validate the performance with out-of-sample testing.
4. Keep an Eye on Market Conditions: Stay informed about current market conditions, economic events, and news that may impact your trading decisions. This will help you make more informed decisions when using the Price Extrapolator with Deviation Cones.
In conclusion, the Price Extrapolator with Deviation Cones is a powerful and versatile tool that can aid traders and investors in predicting potential future price movements. However, it is crucial to remember that this indicator has its limitations, which stem from its reliance on historical data, the assumption of lognormal distribution, its disregard for fundamental factors, limited time horizons, and the potential for overfitting. Despite these constraints, when used correctly and in conjunction with other forms of analysis, the Price Extrapolator with Deviation Cones can provide valuable insights and assist in making more informed trading and investing decisions.
By understanding the underlying mechanics of the indicator, adjusting its settings according to your needs, and being aware of its limitations, you can incorporate the Price Extrapolator with Deviation Cones into your trading arsenal effectively. Always remember that no single tool or indicator is infallible, and it is essential to use a diverse range of analysis methods and strategies to navigate the ever-changing financial markets successfully. Happy trading!
MARS - Moving Average Relative StrengthThe original idea from this script is from the script " Percentage Relative Strength " by dman103 . The original script compared a symbol to an index by their everyday percentage change. The symbol percentage was subtracted from percentage change of the index, & the results were then smoothed by moving averages.
Instead of daily percentage changes, this script directly calculates relative strength via a moving average. We call this simpler approach as MARS (Moving Average Relative Strength) .
MARS compares a symbol to the index by making use of the price's distance from a moving average. By default, we compare the distance from the 50-day simple moving average of the stock vs that of the index. Both the type & the length of the moving average is customisable.
Background color indicates the index being above or below its moving average.
Blue background: index is above its moving average
Pink background: index is below its moving average
The histogram indicates whether the stock is under-performing or out-performing the index.
Up-bars : stock is out-performing the index i.e. between the stock & the index, the difference between the distance to/from the 50-day moving average is a positive value.
Down-bars : stock is under-performing the index i.e. between the stock & the index, the difference between the distance to/from the 50-day moving average is a negative value.
The color of the histogram indicates the type of out-performance or under-performance. There can be a total of 6 such colors:
Relative out-performance : both index & stock are bearish, but stock is less bearish. The script prints light green up-bars on a pink background.
Gross out-performance : both index & stock are bullish, but stock is more bullish. The script prints green up-bars on a blue background.
Absolute out-performance : index is bearish, but stock is bullish! The script prints blue up-bars on a pink background.
Relative under-performance : both index & stock are bullish, but stock is less bullish. The script prints light red bars on a blue background.
Gross under-performance : both index & stock are bearish, but stock is more bearish. The script prints dark red bars on a pink background.
Absolute under-performance : index is bullish, but stock is bearish! The script prints black down-bars on a blue background.
Additional customisation options:
Paint bars option changes the bar colors to mirror the histogram colors.
Easy colors option just changes the histogram colors to either blue or pink, indicating out-performance or under-performance, respectively. This is when the trader does not wish to demarcate between the above-mentioned 6 conditions.
CVD - Cumulative Volume Delta (Chart)█ OVERVIEW
This indicator displays cumulative volume delta (CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise volume delta information compared to methods that only use the chart's timeframe.
The core concepts in this script come from our first CVD indicator , which displays CVD values as plot candles in a separate indicator pane. In this script, CVD values are scaled according to price ranges and represented on the main chart pane.
█ CONCEPTS
Bar polarity
Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change.
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed.
Volume delta
Volume delta is a measure that separates volume into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume and market sentiment. There are several methods for determining whether an asset's volume belongs in the "up" or "down" category. Some indicators, such as On Balance Volume and the Klinger Oscillator , use the change in price between bars to assign volume values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the volume value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available.
In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating volume delta on historical bars. Our Volume Profile indicators use it as well. Other volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis.
This is the logic we use to assign intrabar volume to the "up" or "down" category:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume to produce the volume delta for the chart bar.
█ FEATURES
CVD resets
The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume delta accumulation, we can analyze the progression of volume delta across manageable chunks, which is often more useful than looking at volume delta accumulated from the beginning of a chart's history.
You can configure the reset period using the "CVD Resets" input, which offers the following selections:
• None : Calculations do not reset.
• On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.
• At a fixed time that you specify.
• At the beginning of the regular session .
• On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .
• On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules:
Chart TF HTF
< 1min 1H
< 3H 1D
<= 12H 1W
< 1W 1M
>= 1W 1Y
Specifying intrabar precision
Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed.
The first five options allow users to specify the approximate amount of chart bars to be covered:
• Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.
This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.
• Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped LTF in relation to the current chart's timeframe.
• Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min LTF.
• Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min LTF.
The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows:
Chart Timeframe Lower Timeframe
Less Precise More Precise
< 1hr 1min 1min
< 1D 15min 1min
< 1W 2hr 30min
> 1W 1D 60min
The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible.
As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Display
This script displays raw or cumulative volume delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume activity on each bar or cumulatively over time. The indicator's background shows where CVD resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings.
This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input.
Divergences occur when the polarity of volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs.
An information box in the lower-left corner of the indicator displays the HTF used for resets, the LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings.
FOR Pine Script™ CODERS
• This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.
The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .
The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.
• The script utilizes display.data_window and display.status_line to restrict the display of certain plots.
These new built-ins allow coders to fine-tune where a script’s plot values are displayed.
• The newly added session.isfirstbar_regular built-in allows for resetting the CVD segments at the start of the regular session.
• The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.
These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.
This functionality also enables the scaling of the oscillator zones.
These variables are just a couple of the many new built-ins available in the chart.* namespace.
For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .
• Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting CVD segments within this script.
Revisit the library to see more of the newly added content!
Look first. Then leap.
Directional Slope Strength IndexThe most basic of trend indicators is the price change over some period of time. Rate of change is the most common indicator to use which calculates the current price minus the price n bars back. I've written this indicator to solve several problems the default value of ROC.
1. We're interested in the magnitude or strength of the slope of change.
2. We need a number that we can make decisions from between 0 and something close to a peak of 10.
3. We need the ability to define a threshold where a directional change might be taking place.
The Directional Slope Strength Index solves these problems by taking 1000 samples of your given Rate of Change input and calculating a standard score (or z-score) which represents the number of standard deviations by which the current rate of change is above or below the historical average. A higher number represents a stronger move up and a lower (negative) number represents a stronger move down. A value closer to 0 would represent a sideways trend or the slowing of a current trend.
A potential threshold could be 2 or -2 which is two standard deviations from the mean ROC.
The inputs can be modified to control the sensitivity.
1. A lower ROC length would provide a more sensitive measure, but still measure how that sensitive input changes over 1000 samples.
2. I recommend keeping the sample rate at 1000 as that provides enough historical data to give a more accurate distribution and therefore a more accurate DSSI (z-score).
A number of decisions can be made from the indicator:
1. When the DSSI crosses above 2, it could be a sign of a strong move upward. When below -2 it could be a sign of a strong downward move.
2. When the DSSI persists in a positive or negative channel between 0 and 2 or 0 and -2 this could indicate the formation of the next trend.
3. Values outside 2 and -2 standard deviations should be interpreted as high volatility environments.
4. For convenience, a highest and lowest DSSI have been plotted to provide references to the historical extremes.
I'm open to any questions and feedback as this is a first, original indicator for me.
HMA w/ SSE-Dynamic EWMA Volatility Bands [Loxx]This indicator is for educational purposes to lay the groundwork for future closed/open source indicators. Some of thee future indicators will employ parameter estimation methods described below, others will require complex solvers such as the Nelder-Mead algorithm on log likelihood estimations to derive optimal parameter values for omega, gamma, alpha, and beta for GARCH(1,1) MLE and other volatility metrics. For our purposes here, we estimate the rolling lambda (λ) value used to calculate EWMA by minimizing of the sum of the squared errors minus the long-run variance--a rolling window of the one year mean of squared log-returns. In practice, practitioners will use a λ equal to a standardized value put out by institutions such as JP Morgan. Even simpler than this, others use a ratio of (per - 1) / (per + 1) to derive λ where per is the lookback period for EWMA. Due to computation limits in Pine, we'll likely not see a true GARCH(1,1) MLE on Pine for quite some time, but future closed source indicators will contain some very interesting industry hacks to get close by employing modifications to EWMA. Enjoy!
Exponentially weighted volatility and its relationship to GARCH(1,1)
Exponentially weighted volatility--also called exponentially weighted moving average volatility (EWMA)--puts more weight on more recent observations. EWMA is calculated as follows:
σ*2 = λσ(n - 1)^2 + (1 − λ)u(n - 1)^2
The estimate, σn, of the volatility for day n (made at the end of day n − 1) is calculated from σn −1 (the estimate that was made at the end of day n − 2 of the volatility for day n − 1) and u^n−1 (the most recent daily percentage change).
The EWMA approach has the attractive feature that the data storage requirements are modest. At any given time, we need to remember only the current estimate of the variance rate and the most recent observation on the value of the market variable. When we get a new observation on the value of the market variable, we calculate a new daily percentage change to update our estimate of the variance rate. The old estimate of the variance rate and the old value of the market variable can then be discarded.
The EWMA approach is designed to track changes in the volatility. Suppose there is a big move in the market variable on day n − 1 so that u2n−1 is large. This causes our estimate of the current volatility to move upward. The value of λ governs how responsive the estimate of the daily volatility is to the most recent daily percentage change. A low value of λ leads to a great deal of weight being given to the u(n−1)^2 when σn is calculated. In this case, the estimates produced for the volatility on successive days are themselves highly volatile. A high value of λ (i.e., a value close to 1.0) produces estimates of the daily volatility that respond relatively slowly to new information provided by the daily percentage change.
The RiskMetrics database, which was originally created by JPMorgan and made publicly available in 1994, used the EWMA model with λ = 0.94 for updating daily volatility estimates. The company found that, across a range of different market variables, this value of λ gives forecasts of the variance rate that come closest to the realized variance rate. In 2006, RiskMetrics switched to using a long memory model. This is a model where the weights assigned to the u(n -i)^2 as i increases decline less fast than in EWMA.
GARCH(1,1) Model
The EWMA model is a particular case of GARCH(1,1) where γ = 0, α = 1 − λ, and β = λ. The “(1,1)” in GARCH(1,1) indicates that σ^2 is based on the most recent observation of u^2 and the most recent estimate of the variance rate. The more general GARCH(p, q) model calculates σ^2 from the most recent p observations on u2 and the most recent q estimates of the variance rate.7 GARCH(1,1) is by far the most popular of the GARCH models. Setting ω = γVL, the GARCH(1,1) model can also be written:
σ(n)^2 = ω + αu(n-1)^2 + βσ(n-1)^2
What this indicator does
Calculate log returns log(close/close(1))
Calculates Lambda (λ) dynamically by minimizing the sum of squared errors. I've restricted this to the daily timeframe so as to not bloat the code with additional logic required to derive an annualized EWMA historical volatility metric.
After the Lambda is derived, EWMA is calculated one last time and the result is the daily volatility
This daily volatility is multiplied by the source and the multiplier +/- the HMA to create the volatility bands
Finally, daily volatility is multiplied by the square-root of days per year to derive annualized volatility. Years are trading days for the asset, for most everything but crypto, its 252, for crypto is 365.
SuperTrend Entry(My goal creating this indicator) : Provide a way to enter the market systematically, automatically create Stop Loss Levels and Take Profit Levels, and provide the position size of each entry based on a fix Percentage of the traders account.
The Underlying Concept :
What is Momentum?
The Momentum shown is derived from a Mathematical Formula, SUPERTREND. When price closes above Supertrend Its bullish Momentum when its below Supertrend its Bearish Momentum. This indicator scans for candle closes on the current chart and when there is a shift in momentum (price closes below or above SUPERTREND) it notifies the trader with a Bar Color change.
Technical Inputs
- If you want to optimize the rate of signals to better fit your trading plan you would change the Factor input and ATR Length input. Increase factor and ATR Length to decrease the frequency of signals and decrease the Factor and ATR Length to increase the frequency of signals.
Quick TIP! : You can Sync all VFX SuperTrend Indicators together! All VFX SuperTrend indicators display unique information but its all derived from that same Momentum Formula. Keep the Factor input and ATR Length the same on other VFX SuperTrend indicators to have them operating on the same data.
Display Inputs
- The indicator has a candle overlay option you can toggle ON or OFF. If toggled ON the candles color will represent the momentum of your current chart ( bullish or bearish Momentum)
your able to change the colors that represent bullish or bearish to your preference
- You can toggle on which shows the exact candle momentum switched sides
your able to change the colors that represent a bullish switch or bearish switch to your preference
- The trader can specify which point you would like your stop loss to reference. (Low and High) Which uses the Low of the Momentum signal as the reference for your Stop Loss during buy signals and the High as the reference during sell signals. Or (Lowest Close and Highest Close) which uses the Lowest Close of the Momentum signal as the reference for your Stop Loss during buys and the Highest Close as the reference during sells.
- The colors that represent your Stop Loses and Take Profits can also be changed
Risk Management Inputs
- Your Risk MANAGMENT section is used to set up how your Stop Loss and Take Profit are calculated
- You have the option to take in account Volatility when calculating your Stop Loss. A adjusted ATR formula is used to achieve this. Increase Stop Loss Multiplier from 0 to widen stops.
- Increase Take Profit Multiplier from 0 to access visual Take Profit Levels based on your Stop Loss. This will be important for traders that Prefer trading using risk rewards. For Example: If the the Take Profit Multiplier is 3 a Take Profit level 3 times the size or your stop loss from your entry will be shown and a price number corresponding to that Take Profit Level becomes available.
- Enter your current Account size, Bet Percentage and Fixed Spread to get your Position Size for each trade
-Toggle on the Current Trade Chart and easily get the size of your Position and the exact price of your Take Profit and Stop Loss.
You can increase the Size of the Current Trade Chart= Tiny, Small, Normal, Large, Huge and change the Position of the Current
trade Chart to your preference, (Top- Right, Center, Left) (Middle- Right, Center, Left) (Bottom- Right, Center, Left).
How it can be used ?
- Enter Trades and always know where your stop is going to be
- Eliminate the need to manual calculate Position Size
- Get a consistent view of the current charts momentum
- Systematical enter trades
- Reduce information overload
Inspirational WatermarkPreface: I wanted code that could display a different string of text whenever the bar changed. Viewing a long string of text on the chart can look messy & crowded, so the string of text is displayed as a tooltip when hoving over the user-customizable watermark text/emoji.
About the Indicator: This is a simple educational script where I hand-picked 60-ish quotes related to trading and included them as tooltips in a watermark indicator. The indicator includes a bank of preset quotes, and calls a random quote upon each bar change. Advantages of a watermark include claiming idea ownership as well as preventing simple copy-paste idea piracy/resale/repost. The trader can fully customize the on-screen watermark text. The trader has the option to display the watermark as either a table or a label. Tables are stationary but easy to crop out, while labels move around but are difficult to crop out. Choose the right watermark type depending on the level of idea ownership & protection you require.
Features: Fully customizable watermark type, text, size, color, and position.
‼ IMPORTANT: Hover over the watermark to read a famous trading quote that changes every candle. Consider moving this indicator to the front of the visual order.
⚠ DISCLAIMER: Not financial advice. Not a trading system. DYOR. I am not in any way affiliated with any of the quoted authors.
tvbot Trend Following with Mean Reversion algoDefault settings are for the ETHUSDT 5 min Binance Chart regular candles.
Back test Default settings are 10,000 usd to start, Commission 0.075%, capital deployment per position is 10%, slippage value of 1.
This algo uses the EMA to set the trend line . You are also able to turn the trend line into a range instead of just a static line. The algo uses the VWMA to set the base entry parameters. When a candle closes above or below the VWMA it will record that price and then wait for the VWMA to meet the candle close price. When that happens the Base entry condition is met. (it causes the vwma to create a hook like structure. essentially tell you that the momentum has changed directions.)
The algo will always check to see if the trend line has either breached or has been tested and held. If this condition has been met it will then go to the base entry condition to check to see if the momentum has changed.
There is a mean reversion component in this algo as well. When the price has moved away from the mean(set by user) by a certain amount the algo will start to look for a top or bottom. Once that condition has been met it will then use the base entry condition to look for a change in momentum, but the mean reversion base entry condition uses the HMA to check for a change in momentum.
This algo effectively looks like a hamburger. Mean reversion being the tops and bottoms(bun) and the trend following(beef patty)
Diversified Investment EMA Cross Strategy SimulatorThis simulating indicator proves that even if you use a simple strategy, you can reduce your risk by diversifying your investments.
The strategy itself is simple.(only long)
Buy when 50 days EMA crosses over 200 days EMA.
Sell when 50 days EMA crosses under 200 days EMA.
Or, stop loss when the asset falls by 2% (eg).
Using this simple strategy on an asset is just a test of your luck.
However, this capital change graph shows that risk can be reduced by diversifying investment into eight assets rather than one asset.
Options
Total Assets Capital Change represents the sum of capital changes for 8 assets. The gray line is the initial capital.
Each Asset Capital Change represents all eight asset capital changes. In this case, the gray line is displayed as the initial capital divided by 8.
The rest of the options show a graph of capital change for each asset, showing when buys and sells occurred.
And set the start date, initial capital, stop loss %, and commission.
And select the 8 assets you want to invest in and you are ready to go. To effectively reduce risk, uncoupled assets would be better if possible.
The table in the lower right shows the selected asset and color.
Please enjoy the simulation.
Adaptive, Jurik-Filtered, Floating RSI [Loxx]Adaptive, Jurik-Filtered, Floating RSI is an adaptive RSI indicator that smooths the RSI signal with a Jurik Filter.
This indicator contains three different types of RSI. They are following.
Wilders' RSI:
The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
RSX RSI:
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
Rapid RSI:
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine.
RapidRSI resembles Wilder's RSI , but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
This indicator also uses adaptive cycles to calculate input lengths
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Lastly, RSI is filtered and smoothed using a Jurik Filter
What is Jurik Volty?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Usage
-Red fill color when RSI is in overbought zone means a possible bear trend is incoming
-Green fill color when RSI is in overbought zone means a possible bear trend is incoming
Included
-Bar coloring
Volume Adaptive Bollinger Bands (MZ VABB)This indicator is a functional enhancement to John Bollinger's Bollinger Bands. I've used Volume to adapt dynamic length which is used in basis (middle line) of Bollinger Bands and Simple Moving Average is replaced with Adaptive Ehlers Deviation Scaled Moving Average ( AEDSMA ).
BOLLINGER BANDS BASIC USAGE AND LIMITATIONS
Bollinger bands are popular among traders because of their simple way to detect volatility in market and redefine support and resistance accordingly. These are some basic usages of original Bollinger Bands:
Most commonly Bollinger Band works on 20 period Simple Moving Average as Basis / Middle Line and standard deviation of 2 for volatility detection.
Upper and lower bands can act as support and resistance which accordingly update with standard deviation of same period as of Simple Moving Average.
As upper and lower bands act as volatility measure which benefits in Squeeze detection and breakout trading.
Among all the usages there are some limitations as follows:
Original Bollinger Bands use 20 period Simple Moving Average as Basis which itself restricted to some number of data pints and if market moves in one direction or simply goes sideways for long time; candles can stay on either bands for long time. This gives benefit for staying in directional trade but will completely nullify the use of both bands as support and resistance.
Above point simply be explained as markets can stay overbought / oversold for long time and one way to make Bollinger Bands more useful is to simply use higher periods in SMA but as we know with higher periods SMA becomes more laggy and less adaptive.
Most traders use BBs alongside some other Volume Oscillator for example "On Balance Volume" but that does solve BBs limitations issue that it should be more adaptive to detect volatility in market.
VOLUME ADAPTIVE BOLLINGER BAND WORKING PRINCIPLE
Best way to make original Bollinger band more adaptive was to just use dynamic length instead on constant 20 period. This dynamic length had to be based on some other powerful parameter which can't be volatility as BB itself is a volatility indicator and adapting its length based volatility would have been superimposing volatility on Bollinger bands giving unrealistic results.
For adaptive length, I tried using Volume and for this purpose I used my Relative Volume Strength Index " RVSI " indicator. RVSI is the best way to detect if Volume is going for a breakout or not and based on that indication length of Bollinger Band Basis Moving Average changes.
RVSI breaking above provided value would indicate Volume breakout and hence dynamic length would accordingly make Bollinger band basis moving average more over fitted and similarly standard deviation of achieved dynamic length would give better bands for support and resistance. Similar case would happen if Volume goes down and dynamic length becomes more underfit.
According to my back testing studies I found that Simple Moving Average wasn't the best choice for dynamic length usage in Bollinger Band Basis. So, I used Adaptive Ehlers Deviation Scaled Moving Average ( AEDSMA ) which is more adaptive and already modified to adapt with RVSI.
SLOPE USAGE FOR TREND STRENGTH DETCTION
Volume Adaptive Bollinger Bands are more reactive to market trends so, I used slope for trend strength detection.
If slope of Volume Adaptive Bollinger Band Basis (i.e. AEDSMA ), Upper and Lower Bands is supporting a trend at same time then script will provide signal in that direction. That signal can also use Volume as confirmation if Bollinger Bands trend direction is supported by Volume or not.
DYNAMIC COLORS AND TREND CORRELATION
I’ve used dynamic coloring in Basis ( AEDSMA ) to identify trends with more detail which are as follows:
Lime Color: Slope supported Strong Uptrend also supported by Volume and Volatility or whatever you’ve chosen from both of them.
Fuchsia Color: Weak uptrend only supported by Slope or whatever you’ve selected.
Red Color: Slope supported Strong Downtrend also supported by Volume and Volatility or whatever you’ve chosen from both of them.
Grey Color: Weak Downtrend only supported by Slope or whatever you’ve selected.
Yellow Color: Possible reversal indication by Slope if enabled. Market is either sideways, consolidating or showing choppiness during that period.
SIGNALS
Green Circle: Market good for long with support of Volume and Volatility or whatever you’ve chosen from both of them.
Red Circle: Market good to short with support from Volume and Volatility or whatever you’ve chosen from both of them.
Flag: Market either touched upper or lower band and can act as good TP and warning for reversal.
FIBONACCI BANDS
I’ve included Fibonacci multiple bands which would act as good support/resistance zones. For example, 0.618 Fib level act as good local support and resistance in both upper and lower zones. Fibonacci values can be modified but should be lower than 1.
DEFAULT SETTINGS
I’ve set default Minimum length to 50 and Maximum length to 100 which I’ve found works best for almost all timeframes but you can change this delta to adapt your timeframe accordingly with more precision.
Dynamic length adoption is enabled based on Volume only but volatility can be selected which is already explained above.
Trend signals are enabled based on Slope and Volume but Volatility can be enabled for more precise confirmations.
In “ RVSI ” settings "Klinger Volume Oscillator" is set to default but others work good too especially Volume Zone Oscillator. For more details about Volume Breakout you can check “MZ RVSI Indicator".
ATR breakout is set to be positive if period 14 exceeds period 46 but can be changed if more adaption with volatility is required.
EDSMA super smoother filter length is set to 20 which can be increased to 50 or more for better smoothing but this will also change slope results accordingly.
EDSMA super smoother filter poles are set to 2 because found better results with 2 instead of 3.
FURTHER ENHANCEMENTS
So far, I've achieved better results with "Klinger Volume Oscillator" in RVSI but TFS Volume Oscillator and On Balance Volume can be used which would change dynamic length differently. It doesn't mean that results would be wrong with some oscillator and precise with others but every oscillator works in its specific way for and RVSI just detect strength of Volume based on provided oscillator.
vx_termsUSAGE
--------
This script helps train your intuition for changes in the VX term structure. I recommend using it on the VIX chart, so you can compare changes in the terms to changes in VIX. It's also nice for calendar spread traders who want to get a feel for the same changes.
1. Select a day, month, and year using the inputs
2. Observe the data table.
3. Open the input again and increment or decrement the day (and month, year as necessary).
4. Click "Ok".
5. Click to deselect the indicator, which allows the chart to load new data.
6. The data table will be reloaded with the next/previous day's data.
The data table has the following columns:
- contract: the VX contracts, in sequence. refer to the CBOE for month codes (F for January, etc.)
- close: the closing price of the contract.
- ma:mb: the spread (difference) between this row and the next row.
- ma:mb chg: the spread's change from prior close.
For example, given the following values for the first two columns:
VXQ2021, 16.5, -3.1, -0.2
VXU2021, 19.6, ..., ...
The front month (Q = august) closed at 16.5, $3.1 below the s\September contract. The negative spread enlarged by $0.20 from $2.90 on the previous trading day.
BUGS, ODDITIES, AND LIMITATIONS:
-------------------------------------------
- The first column will be greyed out after expiration day, which is the 3rd Tuesday of that month. Unfortunately, I can't load the next month's contract due to some limitations with TV.
- The active date is highlighted with a yellow background. When a non-trading date is selected, the highlight will disappear. However, the data table will sometimes fill with the nearest trading date, prematurely. No worries, just know that the data is probably for the previous Friday.
- The script is clunky and slow, but this is the best I can do with TV. Hopefully they add more continuous contracts or allow true dynamic symbol loading.
SPECIAL THANKS:
---------------------
Thanks to HeWhoMustNotBeNamed for helping me get through some messiness. Very helpful guy.
www.tradingview.com
All in one [Liubam]Hey tradingviewers!
This is an All in one Indicator for those who can't add too many indicators on your charts. Inspired by ©LonesomeTheBlue "Indicators all in one" script. I found a lot of very interesting scripts on the public library and I decided to make a tool with some of the greatest IMO, adding some modifications to improve the indicators. With this tool you can plot 1 of 6 different indicators by selecting it from a drop-down list (on the indicator settings).
All the credit goes to it's respective owners (taggeds).
THIS INDICATOR INCLUDES:
1. Classic RSI with some OB/OS tools:
The relative strength index (RSI) is a popular momentum indicator displayed as an oscillator (a line graph that moves between two extremes) that measures the magnitude of recent price changes to evaluate overbought or oversold conditions, in other words it shows signals about bullish and bearish price momentum. I added some visual improvements to help you finding the OB/OS zones.
2. Classic CCI with some OB/OS tools.
The Commodity Channel Index (CCI) is a momentum-based oscillator used as market indicator to help determine market movements that may indicate buying or selling. Added some vistual improvements to the chart.
3. ADX and DMI oscillator with the keylevel coded by @console:
The Average Directional Index (ADX) is non-directional indicator used by some traders to determine the strength of a trend. When the ADX line is rising (Above the keylevel) trend strength is increasing, and the price moves in the direction of the trend whether up or down. Otherwise, low ADX (Below the keylevel) is usually a sign of accumulation or distribution (Range). Non-trending doesn't mean the price isn't moving. It may not be, but the price could also be making a trend change or is too volatile for a clear direction to be present.
Suggested settings of the keylevel is 23-25.... REMEMBER: The trend may be your friend.
4. MFI
The Money Flow Index (MFI) is a technical oscillator for identifying overbought or oversold signals in an asset. Unlike conventional oscillators such as the RSI, the Money Flow Index incorporates both price and volume data, as opposed to just price. It can also be used to spot divergences which warn of a trend change in price.
5. Stochastic:
A stochastic oscillator is range-bound, meaning it is always between 0 and 100. This makes it a useful indicator of overbought and oversold conditions. Traditionally, readings over 80 are considered in the overbought range, and readings under 20 are considered oversold. However, these are not always indicative of impending reversal; very strong trends can maintain overbought or oversold conditions for an extended period. Instead, traders should look to changes in the stochastic oscillator for clues about future trend shifts. I added some features for this popular indicator to show the stochastic crosses.
6. The famous Squeeze momentum Indicator made by @Lazybear:
This is derivate of John Carter's "TTM Squeeze" volatility indicator and its very strong when using with trending indicator such a ADX. Black line (or no-line) on the midline show that the market just entered a squeeze ( Bollinger Bands are with in Keltner Channel). This signifies low volatility , market preparing itself for an explosive move (up or down). Gray line signify "Squeeze release". Mr.Carter suggests waiting till the gray line after a blackline, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes.
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This script is source code protected, but you can add to your favorite list to use it. Also you can add twice to use 2 different indicators at the same time (E.g. Squeeze Momentum Indicator + ADX)
An additional indicator I made (MA Hunterz + InfoPanel) is needed to not miss good entry points.
Your valuable comment and feedback is much appreciated...
And remember indicators can be really helpfull but always use Price Action.
Volume EffectivenessI have been trying to work with volume as an indicator for quite some time, as it holds qualities as a 'leading indicator'.
However, please note that any indicator which to some extent predict a future trend has its issues as it can be misleading.
But, in some datasets in a selected timeframe the leading properties of volume as an indicator are useful.
So this script is not too complicated. It shows a numeric which resembles the 'effectiveness of volume' in moving price.
For example, if a small volume creates a large price change - the Volume Effectiveness indicator will be high and show a spike
Whereas, if a large volume creates a small price change - the Volume Effectiveness indicator will be low
I used 3 metrics to represent Volume Effectiveness (these are different colors on the bar chart)
One price difference is the absolute(high - low) for each bar
Another is the absolute(open - close)
The 'open-close' is smaller than the 'high-low', so note this when viewing the bar charts
The final metric depends on if the open is greater than the close or vice-versa
But it considers the 'absolute(high-low)' and the difference between the open and the high (or low) and the close and the low (or high)
So the final metric is the largest of the 3 metrics and is generally the most useful of the 3 however, the other 2 are displayed to provide a better understanding of what 'Volume Effectiveness' displays
Note, I use absolute values so they are only positive, i.e. there are no negative values to represent a price drop within a bar
So, why is this indicator useful - its because volume is a leading indicator
A decreasing volume tends to suggest a price change is coming
Also, when the volume within a bar is very small, its Volume Effectiveness tends to go very high
That means a small trade volume creates a relatively large change in price
This is ideal conditions for a big pump (or big dump - although this indicator seems to work better before pumps)
A large spike in the Volume Effectiveness is commonly/sometimes preceding a big pump
So watch this indicator - and if there is a big spike - evaluate other market conditions to consider getting into position
Large spikes in the Volume Effectiveness can precede big price changes and therefore can provide a leading indication before a pump or dump
Timeframe is important - I found on the daily timeframe this indicator did not provide sufficient lead to be useful. Similarly on the <15min timeframe the spikes were not highly correlated with pumps/dumps
However, in medium timeframes (15mins, 1hour, 4hours) this indicator can be useful for predicting sizeable price changes.
Linear Regression ChannelHello Traders,
There are several nice Linear Regression Channel scripts in the Public Library. and I tried to make one with some extra features too. This one can check if the Price breaks the channel and it shows where is was broken. Also it checks the momentum of the channel and shows it's increasing/decreasing/equal in a label, shape of the label also changes. The line colors change according to direction.
using the options, you can;
- Set the Source (Close, HL2 etc)
- Set the Channel length
- Set Deviation
- Change Up/Down Line colors
- Show/hide broken channels
- Change line width
meaning of arrows:
⇑ : Uptrend and moment incresing
⇗ : Uptrend and moment decreasing
⇓ : Downtrend and moment incresing
⇘ : Downtrend and moment decreasing
⇒ : No trend
An example for how color of lines, arrow direction and shape of label change.
Enjoy!
Excellent ADXThe Average Directional movement indeX (ADX) is an indicator that helps you determine the trend direction, pivot points, and much more else! But it looks not so easy as other famous indicators. It seems strange or even terrible, but don't be afraid. Let's understand how it works and get its power into your analysis tactics.
In the beginning, imagine a drunk man goes through a ladder: step by step. Up, up, down, up, down, down, up...
How can we understand which direction he goes? Exactly! We can count the number of steps in each direction. In the above example, in the upward – 4, in the downward – 3. So, it looks like he goes in an upward direction.
The ADX indicator counts the same steps, but for price. The size of each step equals 1 ATR for "DI Length" candles. On the indicator chart, we have the green and red lines. The green line represents a number of steps upward. The red line shows one downward. When the red line upper green, then the price goes below, then the trend is directed down. Later the green line comes above the red one, and then the trend changes the direction to upward. Wow? After that, you can easy detect the trend direction on the market!
But it is still not the end. On the chart, we also have the fat blue line. This is the ADX line, and it represents the power of the trend. It is calculated from a distance between the green and red curves. The ADX line value grows if the distance is increased. If the movement is really powerful, then a number of steps into a direction much more prominent than one in an opposed direction. Then the blue line grows faster. But if the growth has stopped and the blue line turns back or already had changed self-direction, then it is a signal that the trend has ended too. It's an excellent sign to close the position (but not always). Easy? Not quite. Thresholds help you there. The indicator has two additional parameters: upper and lower thresholds to evaluate the trend-over signal strength. An u-turn of the ADX line above the upper threshold sends a strong signal. If one occurs between both thresholds, it is a bit weak signal. But if the blue line goes below the lower threshold, it looks like there is no trend, and the price goes side. We can also say that the price goes side when the ADX value gradually falls down.
The Excellent ADX indicator helps you catch pivot/pullback signals based on green, red, and blue lines. Each such signal is highlighted as a green (buy) or red (sell) dot on the plot. The size of the dot represents the strength of the signal. You can also check the position of green and red lines from each other to determine the trend direction and the place where it has been changed. The Excellent ADX indicator helps you there too. It highlights the trend direction by the background-color, so you'll never miss it! The Excellent ADX good compliance with the Price Channel indicator built for the same length. You can use them together to be on a trend wave always!
Relative Strength Index of EU and US Stock Index Trends quality//Relative Strength Index of European and US Stock Index Trends quality
//This indicator reveals the relative strength of European and US stock index futures.
//take Bull trend as an example , the current closed price>EMA20 value and the current closed price >20th previous bar closed price( deduction price),
//it's defined as a lower level bull trend .If the current price EMA20>EMA60, it's defined as a higher level bull trend .If the EMA20>EMA60>EMA120,it's defined as the highest level bull trend.
//You can choose to draw the curve with the deviation rate of the original major indexes to 20EMA, or draw the deviation rate with the average value (default value is 5 bars).
//In addition, a more technical method is added to analyze the deviation changes of the major indexes.The deviation rate changing velocity value, parameter tan (abbreviated by t) of 1, 2, 5, 10 is introduced.
//You can have the option of calculate the tan using average value of 5 candlesticks or original value.
//Taking tan1 as an example, it indicates how much the deviation rate between the current price and the previous candlestick has changed.
//The indicator of the index color and the description of the trend quality color can be switched off in option.
//In addition, this code color scheme is only suitable for black background (the code color needs to be changed by yourself if you use white background).
[blackcat] L2 Ehlers MAMALevel: 2
Background
John F. Ehlers introuced MESA Adaptive Moving Average-a.k.a "MAMA" in his "Rocket Science for Traders" chapter 17. Forgive the whimsy of the name Dr. Ehlers attached to this unique indicator, but with that name he is sure you will always remember it, like KAMA and VIDYA.
Function
blackcat L2 Ehlers MESA Adaptive Moving Average-a.k.a "MAMA" is used to follow trend. The concept of MAMA is to relate the phase rate of change to the EMA alpha, thus making the EMA adaptive. The cycle phase goes from 0 through 360 degrees in each cycle. The phase is continuous, but is usually drawn with the snap back to 0 degrees as the beginning of each cycle. Thus the phase rate of change is 360 degrees per cycle. The shorter the cycle, the faster the phase rate of change. For example, a 36-bar cycle has a phase rate of change of 10 degrees per bar, while a 10-bar cycle has a rate of change of 36 degrees per bar. The cycle periods tend to be longer when the market is in a Trend Mode.
The cycle phase is computed from the arctangent of the ratio of the Quadrature component to the Inphase component. Dr. Ehlers obtain the phase rate of change values by taking the difference of successive phase measurements. The arctangent function only measures phase over a half cycle, from -90 degrees to +90 degrees. Since the phase measurement snaps back every half cycle, a huge negative rate change of phase every half cycle results from the computation of the rate change of phase. Measured negative rate changes of phase can also occur when the market is in a Trend Mode. Any negative rate change of phase is theoretically impossible because phase must advance as time increases. Dr. Ehlers therefore limit all rate change of phase to be no less than unity.
Key Signal
Smooth --> 4 bar WMA w/ 1 bar lag
Detrender --> The amplitude response of a minimum-length HT can be improved by adjusting the filter coefficients by
trial and error. HT does not allow DC component at zero frequency for transformation. So, Detrender is used to remove DC component/ trend component.
Q1 --> Quadrature phase signal
I1 --> In-phase signal
Period --> Dominant Cycle in bars
SmoothPeriod --> Period with complex averaging
alpha ---> coefficient
MAMA ---> MESA Adaptive Moving Average-a.k.a "MAMA"
FAMA ---> slow line of MAMA
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 13th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
