Chebyshevs BandsThis script calculates upper and lower bands using Chebyshev's inequality formula.
The main pros.: the band doesn't depend on particular distribution. It fits to any type of random variables. Also it allows to calculate bands for instruments with extremely high volatility.
Cons.: formula provides a rough estimation in some special cases like lognormal distribution.
Bands
Squeeze Range: Bollinger Bands / Keltner Channels [Whvntr]Presenting Squeeze Range: Bollinger Bands / Keltner Channels
TTMSqueeze method is a volatility and momentum indicator introduced by John Carter of Simpler Trading, which capitalizes on the tendency for price to break out strongly after consolidating in a tight trading range.
How did I make this indicator? The Bollinger Bands & Keltner Channels base scripts are from the standard indicators of their class in the Technicals section... I made this indicator first then noticed there were 3 others with a similar concept, but this differs in it's unique features and application of the TTMSqueeze strategy. This indicator plots the True Range of the Keltner Channel (Customizable in 'Bands Style" in the Inputs Menu) the instances the Bollinger Bands are within the range of the Keltner channel (the market just entered a squeeze).
Featuring: customizable Moving Averages
1. Exponential (Default for both BB & KC)
2. Simple
3. RMA (MA used in RSI )
Keltner channels have a multiplier of 2 & 3 on the Chart (3 being the outer).
How do I use this indicator? Once the teal dots are inside the solid red lines this would indicate that TTMperiod of low market volatility (the market is preparing itself for an explosive move up or down). Do some research and study how to use the TTMSqueeze method by John Carter. Disclaimer: not a guarantee of future favorable results.
MAD - Mean Absolute Deviation purpose :implementation of MAD Mean Absolute Deviation in pinescript
implementation by : patmaba
type : measures of spread
Mean absolute deviation
The mean absolute deviation of a dataset is the average distance between each data point and the mean. It gives us an idea about the variability in a dataset.
Here's how to calculate the median absolute deviation.
Step 1: Calculate the mean.
Step 2: Calculate how far away each data point is from the mean using positive distances. These are called absolute deviations.
Step 3: Add those deviations together.
Step 4: Divide the sum by the number of data points.
Source of MAD:
www.khanacademy.org
Formula :
MAD = ( ∑ |xi−µ| ) / n
where
xi = the value of a data point
|xi − µ| = absolute deviation
µ = mean
n = sample size
Click VWAP Anchored with Standard Devation BandsSimply use it by clicking on your chart on the places you find important to determine whether you entries or exits look strong or weak.
Flying Dragon Trend IndicatorFlying Dragon Trend Indicator can be used to indicate the trend on all timeframes by finetuning the input settings.
The Flying Dragon Trend family includes both the strategy and the indicator, where the strategy supports of selecting the optimal set of inputs for the indicator in each scenario. Highly recommended to get familiar with the strategy first to get the best out of the indicator.
Flying Dragon Trend plots the trend bands into the ribbon, where the colours indicate the trend of each band. The plotting of the bands can be turned off in the input settings. Based on the user selectable Risk Level the trend pivot indicator is shown for the possible trend pivot when the price crosses the certain moving average line, or at the Lowest risk level all the bands have the same colour. The trend pivot indicator is not shown on the Lowest risk level, but the colour of the trend bands is the indicator instead .
The main idea is to combine two different moving averages to cross each other at the possible trend pivot point, but trying to avoid any short term bounces to affect the trend indication. The ingenuity resides in the combination of selected moving average types, lengths and especially the offsets. The trend bands give visual hint for the user while observing the price interaction with the bands, one could say that when "the Dragon swallows the candles the jaws wide open", then there is high possibility for the pivot. The leading moving average should be fast while the lagging moving average should be, well, lagging behind the leading one. There is Offset selections for each moving average, three for leading one and one for the lagging one, those are where the magic happens. After user has selected preferred moving average types and lengths, by tuning each offset the optimal sweet spot for each timeframe and equity will be found. The default values are good enough starting points for longer (4h and up) timeframes, but shorter timeframes (minutes to hours) require different combination of settings, some hints are provided in tooltips. Basically the slower the "leading" moving average (like HMA75 or HMA115) and quicker the "lagging" moving average (like SMA12 or SMA5) become, the better performance at the Lowest risk level on minute scales. This "reversed" approach at the minute scales is shown also as reversed colour for the "lagging" moving average trend band, which seems to make it work surprisingly well.
The Flying Dragon Trend does not necessarily work well on zig zag and range bounce scenarios without additional finetuning of the input settings to fit the current condition.
Flying Dragon Trend StrategyFlying Dragon Trend Strategy can be used to indicate the trend on all timeframes by finetuning the input settings.
The Flying Dragon Trend family includes both the strategy and the indicator, where the strategy supports of selecting the optimal set of inputs for the indicator in each scenario. Highly recommended to get familiar with the strategy first to get the best out of the indicator.
Flying Dragon Trend plots the trend bands into the ribbon, where the colours indicate the trend of each band. The plotting of the bands can be turned off in the input settings. Based on the user selectable Risk Level the strategy is executed when the price crosses the certain moving average line, or at the Lowest risk level all the bands have the same colour.
The main idea is to combine two different moving averages to cross each other at the possible trend pivot point, but trying to avoid any short term bounces to affect the trend indication. The ingenuity resides in the combination of selected moving average types, lengths and especially the offsets. The trend bands give visual hint for the user while observing the price interaction with the bands, one could say that when "the Dragon swallows the candles the jaws wide open", then there is high possibility for the pivot. The leading moving average should be fast while the lagging moving average should be, well, lagging behind the leading one. There is Offset selections for each moving average, three for leading one and one for the lagging one, those are where the magic happens. After user has selected preferred moving average types and lengths, by tuning each offset the optimal sweet spot for each timeframe and equity will be found. The default values are good enough starting points for longer (4h and up) timeframes, but shorter timeframes (minutes to hours) require different combination of settings, some hints are provided in tooltips. Basically the slower the "leading" moving average (like HMA75 or HMA115) and quicker the "lagging" moving average (like SMA12 or SMA5) become, the better performance at the Lowest risk level on minute scales. This "reversed" approach at the minute scales is shown also as reversed colour for the "lagging" moving average trend band, which seems to make it work surprisingly well.
The Flying Dragon Trend does not necessarily work well on zig zag and range bounce scenarios without additional finetuning of the input settings to fit the current condition.
Strategy direction selector by DashTrader.
Cuban's Reversion Bands V2Cuban's Reversion Bands V2
Cubans Reversion Bands, are a great indication of price overextension by using specified standard deviations, extended from a moving average basis line, the Volume Weighted Average Trend.
Reversion Bands V2 builds off the original foundation in a big way but utilizes completely new band logic and a more stable basis line, the stability leads to a more consistent band reversion zones.
The basis line is calculated with volatility metrics and long term range determinants.
The band extension points are then weighted on this basis line with the asset's average extensions taken into consideration to fit each asset individually.
Users gain the ability to customize:
EQ Sensitivity
Band Sensitivity
EQ sensitivity will control the reaction time of the basis line e.g. a comparison of the default 1, and below an increase EQ to 100:
1 EQ Sensitivity (Default)
100 EQ Sensitivity
Band Sensitivity will control the distance of deviation from the basis point, this can be used to fine tune the reversion location which could be useful in higher beta environments.
1 Band Sensitivity
100 Band Sensitivity
As a result of overextension we can take this as a means for a potential market shift, for example, in range bound conditions we expect the market to revert at the given reversion zones in the Cuban Reversion Bands V2.
Failure to revert at a band level, and extension above could signify a change in market structure and lead to a trending environment thus giving us the ability to determine a trending environment.
To Do:
alerts
implement additional confluence via other proprietary tools to increase the signal ratio
Trop BandsTrop Bands is a tool that uses an exponential moving average (EMA) as its central trendline and upper and lower bands to identify potential buying and selling opportunities in the market. The bands are calculated based on recent moves away from the EMA, and they are plotted around the central trendline to provide a visual representation of market trends and conditions. When the price moves outside of these bands, it can be seen as a signal that the security is overbought or oversold and may be ready for a reversal, just like Bollinger Bands.
In addition to providing signals when the price moves outside of the bands, the indicator can also show triangles outside/inside the bands. These triangles are based on the Demand Index developed by James Sibbet and are intended to provide additional confirmation of potential trading opportunities. They can be used in conjunction with other technical analysis tools to help identifying potential trading opportunities in the market.
MA ChannelThis indicator creates a high and low channel of moving average type selected, it also can draw deviation bands based on the channel for a unique representation of squeezes.
Features
Moving average channel displays constant high and low price trend.
Center band displays color representative of trend direction constantly.
High price trend line disappears during downtrends, and low price trend line disappears during uptrends.
Deviation band display accurately reports squeezes between price and channel data.
Deviation band fill reports price range expansion as possible trend weakness.
Settings
Period adjusts historical price data to use for trend analysis.
Average Type adjusts the type of average calculation used in the trend plots.
Show Deviation Band toggles display of deviation bands and their fill.
Deviation Multiplier adjusts the deviation calculation, 2.0 is common.
Style adjustments include up/down trend strong/weak color customization (default theme supports color blindness).
Color Bar displays overall trend color on each bar.
Deviation Band Fill With Squeeze Measurement adjusts opacity to represent deviation band squeeze, when bands contract the colors disappear, when bands expand the colors reappear.
Usage
Trend Analysis
When price has broken above the channel then it's an uptrend, price below the channel is a downtrend.
Pay attention to when inverse trend line appears only momentarily, these could be excellent trend continuation entry areas.
Reversals
Reversal areas can be spotted where price breaks the channel central ribbon but doesn't close outside on the opposite end of previous trend.
Squeeze
Band fill squeeze mode aims to make it a simple task to see when a squeeze may be weakening, with the color trend brightening during periods of expansion, and disappearing during periods of contraction (squeezing).
Gedhusek ScalpingRangerThis indicator was designed for finding good entries for scalping the market
How does it work:
- It works on a basis of price running out of its bands and its return
- Once the price is out of bands, the system starts scanning for two patterns --> sudden price reversion and losing of momentum.
- If any of these patterns occur, the indicator waits for a confirmation bar and after that it gives you a signal that the price could be moving upwards or downwards.
- These signals are represented by a label and sudden price change of the current bar
- Also you will see a dotted line above or below the bar that can be used as a potential Stop Loss level
Idea behind the trigger patterns:
Sudden price reversion
- Idea behind this pattern is that the price has a higher success of reversion if there is a fast change of its momentum. This pattern is recognized by measuring the divergence between prior and current price change
- The divergence is measured as correlation between shorter-term price action and longer-term price action. If the correlation is negative and statistically significant, it is counted as a reversion signal (= shorter-time price action goes in the opposite direction of longer-term price action)
Losing of momentum
- The idea behind this pattern is that once there is no strong momentum, there is lower probability of a breakout and start of strong trend
- It is calculated as a difference between current price and previous price. If the difference is minimal, it is taken as a signal that the price lost its momentum and therefore there is higher chance of reversion.
When to use:
- This indicator works well in ranging markets, but slightly less well in trending markets. Therefore look for sideways markets and use the indicator there
- Price action patterns work really well with this indicator, such as Support and Resistance levels, double Tops and Bottoms,...
Inputs:
- This indicator has only one input and that is "Analysis Period". This input declares how many bars and going to be used when finding the patterns of possible price reversion
Correlated ATR Bands | AdulariHow do I use it?
Never use this indicator as standalone trading signal, it should be used as confluence.
It is highly recommended to use this indicator on the 15m timeframe and above, try experimenting with the inverse feature and multipliers as well.
When the price is above the moving average this shows the bullish trend is strong.
When the price is below the moving average this shows the bearish trend is strong.
When the moving average is purple, the trend is bullish , when it is gray, the trend is bearish.
When price is above the upper band this may indicate a bearish reversal.
When price is below the lower band this may indicate a bullish reversal.
Features:
Purple line for bullish trend and gray line for bearish trend.
Custom formula combining an ATR and Hull MA to clearly indicate trend strength and direction.
Unique approach to moving averages and bands by taking the average of 2 types of MA's combined with custom ATR's, then multiplying these by correlation factors.
Bands to indicate possible trend reversals when price crosses them.
How does it work?
1 — ATR value is calculated, then the correlation between the source and ATR is calculated.
2 — Final value is calculated using the following formula:
correlation * atr + (1 - correlation) * nz(atr , atr)
3 — Moving average is calculated with the following formula:
ta.hma((1-(correlation/100*(1+weight/10)))*(ta.sma(source+value, smoothing)+ta.sma(source-value,smoothing))/2,flength)
4 — Bands calculation using multipliers.
[EDU] RSI Momentum BandsRSI Momentum Bands serve a purpose to find best RSI momentum for entering a trade.
Indicator is built simply:
1st RSI MA is smoothed RSI by little period, 2nd RSI MA is smoothed RSI by a bigger period.
Then we calculate standard deviation from the 2nd MA and make upper and lower band.
The rules for trades are simple:
When RSI is above higher band - Buy ;
When RSI is below lower band - Sell .
The indicator is for educational purposes only to present trades a momentum bands concepts, widely used across professionals.
Hope you will find it helpful.
Take your profits!
- Tarasenko Fyodor
Extended Recursive Bands StrategyThe original indicator was created by alexgrover .
All credit goes to alexgrover for creating the indicator that this strategy uses.
This strategy was posted because there were multiple requests for it, and no strategy based on this indicator exists yet.
The Recursive Bands Indicator, an indicator specially created to be extremely efficient, I think you already know that calculation time is extra important in algorithmic trading, and this is the principal motivation for the creation of the proposed indicator. Originally described in Alex's paper "Pierrefeu, Alex (2019): Recursive Bands - A New Indicator For Technical Analysis", the indicator framework has been widely used in his previous uploaded indicators, however it would have been a shame to not upload it, however user experience being a major concern for me, I decided to add extra options, which explain the term "extended".
The Indicator
The indicator displays one upper and one lower band, every common usages applied to bands indicators such as support/resistance , breakout, trailing stop, etc, can also be applied to this one. Length controls how reactive the bands are, higher values will make the bands cross the price less often.
In order to provide more flexibility for the user alexgrover added the option to use various methods for the calculation of the indicator, therefore the indicator can use the average true range , standard deviation, average high-low range, and one totally exclusive method specially designed for this indicator.
Added logic:
We have implemented a logic that checks whether the bands have been following in the same direction for a set amount of bars. This logic must be true before it can enter trades. This is completely new code that was written by us entirely, and it makes a huge difference on strategy performance.
Strategy Long conditions:
1 — Price low is below the the lower band.
2 — The lower band keeps increasing in value until the 'lookback' setting amount of bars is reached.
Strategy Short conditions:
1 — Price high is above the upper band.
2 — The upper band keeps decreasing in value until the 'lookback' setting amount of bars is reached.
Strategy Properties:
We have set a default commission of 0.06% because these are Bybit's fees. The strategy uses an order size of 10% of equity, since drawdown is very low like this. We also use a 10 tick slippage to keep results realistic and account for this. All other settings were left as default apart from initial capital, just to decrease the size of the numbers.
Cyclic Polygamma BandsThe polygamma function is the (n+1)st derivative of the logarithm of the gamma function where n is the respective order. An approximation of this derivative at order n=1 is taken and applied to my own calculation of upper and lower bands (along with a mean), to create the cyclic polygamma bands. Cyclic, as it is weighted to mimic the local alternations in price (peak to trough corresponding to turning points of a set of moving averages). Lower cyclic weights for trending markets, higher cyclic weights correspond to choppier markets. It has 3 plots. The CP-H, CP-Mean and CP-L, where the CP-H is the red band, CP-L is the green band and CP-Mean the mean of these 2 bands. The method of trading is dependent on the user, but generally in an (here, undefined) uptrend, prices that snap the CP-L are considered bullish. Same logic for shorts and the CP-H.
The raw calculation is the unfiltered calculation. Cyclic is recommended, but the CP-Mean has exhibited interesting behavior (use at your own discretion). Cyclic aims to follow the local cycles of price.
Low cyclic weight will allow the weight of the polygamma to be higher. High cyclic weight will mimic price more, responding quicker to price. Use high if markets are chopping.
MTF MA Ribbon and Bands + BB, Gaussian F. and R. VWAP with StDev█ Multi Timeframe Moving Average Ribbon and Bands + Bollinger Bands, Gaussian Filter and Rolling Volume Weighted Average Price with Standard Deviation Bands
Up to 9 moving averages can be independently applied.
The length , type and timeframe of each moving average are configurable .
The lines, colors and background fill are customizable too.
This script can also display:
Moving Average Bands
Bollinger Bands
Gaussian Filter
Rolling VWAP and Standard Deviation Bands
Types of Moving Averages:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Smoothed Moving Average (SMMA)
Weighted Moving Average (WMA)
Volume Weighted Moving Average (VWMA)
Least Squares Moving Average (LSMA)
Hull Moving Average (HMA)
Arnaud Legoux Moving Average (ALMA)
█ Moving Average
Moving Averages are price based, lagging (or reactive) indicators that display the average price of a security over a set period of time.
A Moving Average is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance.
█ Bollinger Bands
Bollinger Bands consist of a band of three lines which are plotted in relation to security prices.
The line in the middle is usually a Simple Moving Average (SMA) set to a period of 20 days (the type of trend line and period can be changed by the trader, a 20 day moving average is by far the most popular).
The SMA then serves as a base for the Upper and Lower Bands which are used as a way to measure volatility by observing the relationship between the Bands and price.
█ Gaussian Filter
Gaussian filter can be used for smoothing.
It rejects high frequencies (fast movements) better than an EMA and has lower lag.
A Gaussian filter is one whose transfer response is described by the familiar Gaussian bell-shaped curve.
In the case of low-pass filters, only the upper half of the curve describes the filter.
The use of gaussian filters is a move toward achieving the dual goal of reducing lag and reducing the lag of high-frequency components relative to the lag of lower-frequency components.
█ Rolling VWAP
The typical VWAP is designed to be used on intraday charts, as it resets at the beginning of the day.
Such VWAPs cannot be used on daily, weekly or monthly charts. Instead, this rolling VWAP uses a time period that automatically adjusts to the chart's timeframe.
You can thus use the rolling VWAP on any chart that includes volume information in its data feed.
Because the rolling VWAP uses a moving window, it does not exhibit the jumpiness of VWAP plots that reset.
Made with the help from scripts of: adam24x, VishvaP, loxx and pmk07.
RSI Shadow by TartigradiaHave you ever wondered how much the RSI can vary during an open session? How much wicks can make the RSI overshoots before it retraces for the close?
This indicator plots the RSI shadow, which is the area between the highest and lowest RSI values attained during each open session, from the high/low wick price candle (ie, not the open value).
Technically, we calculate the RSI as usual for all past bars, except for current bar for which we use the high and low values to calculate the RSI Shadow bounds. The invisible PineScript loop then repeats this process for each bar.
In practice, the RSI Shadow provides 2 different informations:
1. This allows to visually represent the variability that historically happened for each bar, which help in better understanding the context at the time and may help predict future similar patterns.
2. The closer the RSI is to one bound, high or low, the more bullish or bearish respectively the price action is. Intuitively, when RSI is close to the high shadow bound, it means that price action is so bullish it often closes in proximity to the highest value attained during the open session, hence very bullish sentiment. And inversely for low and bearish sentiment. To ease visualization of these sentiments, a background highlighting is provided.
The indicator works under all timeframes, but it appears to provide a very reliable information with longer timeframe. The background highlighting showing the bullish/bearish sentiment based on the RSI Shadow appears to indicate crypto market cycles relatively reliably, with 2-3 consecutive bars with the same background color indicating a strong trend.
False positives can be reduced by looking at both the background color and the RSI direction, if both are congruent (ie, both bullish), then the trend indication is good, otherwise the trend indicated by the background color should be disregarded. An option was added to uncolor background if incongruent with RSI's direction.
There is also a "shadow margin" setting that allows to further reduce the number of false positives, at the expense of reduced sensitivity (a margin of 3 seems to eliminate most false positives).
Note: if you need a more complete RSI indicator with overbought/oversold signals, check out RSI+ (alt), which includes all RSI related indicators I make (such as RSI Shadow):
Volume Weighted Reversal BandsThis is a vwap & vwma hybrid with upper & lower deviation bands that provide excellent price channels and reversal areas. It can be used on lower & higher timeframes, just increase the deviation % for higher timeframes. Try out the 1 minute timeframe with .5% deviation for great scalping levels.
Here is the calculation used for the main line.
(VWMA100 + VWMA500 + VWMA1000 + VWAP) / 4
So it combines 3 VWMAs with the VWAP and divides that number by 4 to give us a moving average. Then we add new levels above and below that moving average to get our channels. The channels are separated by the % deviation you choose in the settings. For tighter bands, lower the percentage deviation and for wider bands, increase the percentage deviation.
The fattest line in the middle is the main moving average and you can expect price to regularly return to this level. The thick lines are the main moving average plus or minus the percentage deviation you have set. There are 10 levels in each direction from the main moving average. The is also a thin short term moving average as well with a custom calculation. It takes 4 different length moving averages that are weighted and 4 more that are volume weighted and divides the total by 8.The lines will be green when price is above the line and red when price is below the line. The thin white line is the VWAP on its own.
These lines will act as dynamic support and resistance so you can scalp them back and forth. These levels work so well because they are volume weighted and the algos hedge their positions back and forth constantly.
For best results, use this indicator on tickers with the highest volume and trading action as the price will stick to these levels better when the big money players are hedging. Some great tickers for this indicator are APPL, SPY, BTC, ETH.
All colors and linewidths can be customized in the settings easily as well as turning off the VWAP or short moving average and adjusting the percentage deviation for the channels.
***MARKETS***
This indicator can be used on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This indicator can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart for extra confirmation. Our favorites to pair with these bands are the Scalper Ribbon and Trend Friend Signals. The 3 combined give you a lot of extra confirmation on whether the market is going to reverse at these levels.
Trend ExplosionThis script features a combination of trend indicators. Upon backtesting various indicators and how price action reacts to past signals, I discovered that using a combination of conditions would allow for a simple, easy-to-use, yet (in my opinion) accurate representation of current market sentiment. I typically use this on the 5/15 minute charts as I reference higher timeframe conditions. If you would like to trade the 1 hour and above timeframes, you would have to manually adjust the timeframe you want under "Resolution". Another thing to note is that this script provides a REFERENCE for trends. It does not provide entry and exit signals and you would have to discretionarily determine those yourself.
Long sentiment = Green triangles below the bar
Short sentiment = Fuchsia triangles above the bar
Due to a large amount of effort and time taken into creating this script, I have decided to protect the source code. If you do have any suggestions, you can feel free to drop me a DM.
Trend BandsThis script is, yet again, another mean reversion indicator. When the trend index touches the upper / lower bands, there seems to be a decent probability that the market might reverse at that area. However, I do emphasise on exercising caution when trading against the current wave of the market as there are instances where the trend index extends past the upper / lower bands for a prolonged period of time. However, in a non-trending semi-consolidated market, this script seems to do quite well for itself. Enjoy!
Parkinson's Historical Volatility Bands [Loxx]Parkinson's Historical Volatility Bands are constructed using:
Average as the middle line.
Upper and lower bands using the Parkinson's historical volatility (instead of "regular" Historical Volatility) for bands calculation.
What is Parkinson's Historical Volatility?
The Parkinson's number, or High Low Range Volatility developed by the physicist, Michael Parkinson in 1980, aims to estimate the Volatility of returns for a random walk using the High and Low in any particular period. IVolatility.com calculates daily Parkinson values. Prices are observed on a fixed time interval: n = 10, 20, 30, 60, 90, 120, 150, 180 days.
SH is stock's High price in t day.
SL is stock's Low price in t day.
High/Low Return (xt^HL) is calculated as the natural logarithm of the ratio of a stock's High price to stock's Low price.
Return:
And Parkinson's number: 1 / (4 * math.log(2)) * 252 / n * Σ (n, t =1) {math.log(Ht/Lt)^2}
An important use of the Parkinson's number is the assessment of the distribution prices during the day as well as a better understanding of the market dynamics. Comparing the Parkinson's number and periodically sampled volatility helps traders understand the tendency towards mean reversion in the market as well as the distribution of stop-losses.
The color of the middle line, unlike the bands colors, has 3 colors. When colors of the bands are the same, then the middle line has the same color, otherwise it's white.
Included
Alerts
Signals
Loxx's Expanded Source Types
Bar coloring
Historical Volatility Bands [Loxx]Historical Volatility Bands are constructed using:
Average as the middle line.
Upper and lower bands using the Historical Volatility for bands calculation.
What is Historical Volatility?
Historical Volatility (HV) is a statistical measure of the dispersion of returns for a given security or market index over a given period of time. Generally, this measure is calculated by determining the average deviation from the average price of a financial instrument in the given time period. Using standard deviation is the most common, but not the only, way to calculate Historical Volatility.
The higher the Historical Volatility value, the riskier the security. However, that is not necessarily a bad result as risk works both ways - bullish and bearish, i.e: Historical Volatility is not a directional indicator and should not be used as other directional indicators are used. Use to to determine the rising and falling price change volatility.
The color of the middle line, unlike the bands colors, has 3 colors. When colors of the bands are the same, then the middle line has the same color, otherwise it's white.
Included
Alerts
Signals
Loxx's Expanded Source Types
Bar coloring
ATR Trend Bands [Misu]█ This indicator shows an upper and lower band based on price action and ATR (Average True Range)
The average true range (ATR) is a market volatility indicator used in technical analysis.
█ Usages:
The purpose of this indicator is to identify changes in trends and price action.
It is mainly used to identify breaking points and trend reversals.
But it can also be used to show resistance or support levels.
█ Features:
> Buy & Sell Alerts
> Buy & Sell Labels
> Color Bars
> Show Bands
█ Parameters:
Length: Length is used to calculate ATR.
Atr Multiplier: A factor used to balance the impact of the ATR on the Trend Bands calculation.
RSI + MA, LinReg, ZZ (HH HL LH LL), Div, Ichi, MACD and TSI HistRelative Strength Index with Moving Average, Linear Regression, Zig Zag (Highs and Lows), Divergence, Ichimoku Cloud, Moving Average Convergence Divergence and True Strength Index Histogram
This script is based on zdmre's RSI script, I revamped a lot of things and added a few indicators from ParkF's RSI script.
Disable Labels in the Style tab and the histogram if you don't enlarge the indicator and it seems too small.
Look to buy in the oversold area and bounce of the support of the linear regression.
Look to sell in the overbought area and bounce of the resistance of the linear regression.
Look for retracement to the moving average or horizontal lines, and divergences for potential reversal.
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.
Moving Average
Moving Average (MA) is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance.
Linear Regression
The Linear Regression indicator visualizes the general price trend of a specific part of the chart based on the Linear Regression calculation.
Zig Zag (Highs and Lows)
The Zig Zag indicator is used to identify price trends, and in doing so plots points on the chart to mark whenever prices reverse by a larger percentage point than a predetermined variable or marker.
Divergence
The divergence indicator warns traders and technical analysts of changes in a price trend, oftentimes that it is weakening or changing direction.
Ichimoku Cloud
The Ichimoku Cloud is a package of multiple technical indicators that signal support, resistance, market trend, and market momentum.
MACD and TSI Histogram
MACD can be used to identify aspects of a security's overall trend.
The True Strength Index indicator is a momentum oscillator designed to detect, confirm or visualize the strength of a trend.
