Faytterro Bandswhat is Faytterro Bands?
it is a channel indicator like "Bollinger Bands".
what it does?
creates a channel using standard deviations and means. thus giving users an idea about the expensive and cheap zones. It uses a special weighted moving average different from standard bollinger bands, it also averages not only price but also deviations.
how it does it?
it uses this formulas:
how to use it?
its usage is the same as "bollinger band".
length represents the number of candles to be taken into account, source represents the source of those candles and stdev represents the coefficient of the standard deviation.
you can use it with other indicators:
Volatilite
Fibonacci Levels Based on Supertrend [By MUQWISHI]A “ Fibonacci Levels Based on Supertrend ” indicator is supertrend indicator planned with Fibonacci retracements levels. Fibonacci retracements provides a sequence of levels starting from 0% to 100% in addition to extension levels. 0% is measured to be the initial Supertrend line, and 100% is the previous Supertrend line where it has been broken by candle. This tool could be valuable in terms of managing trades by setting targets and reducing the risk in the trend direction.
█ OVERVIEW
█ INDICATOR SETTINGS
Please let me know if you have any questions.
Thank you.
Limited Fisher Transformwhat is Limited Fisher Transform?
This indicator is a compressed version of the Fisher transform indicator between 100 and 0 values.
what it does?
It allows us to define overbought and oversold zones by compressing the values of the "fisher transform" indicator between 0 and 100. also these zones are the same for every timeframe and trading pair, just like RSI.
how it does it?
it use this formula:
x = fisher transform values
a = average
how to use it?
its use is indistinguishable from the standard fisher. You can use it to set alarms for overbought and oversold zones. so you will be notified when a possible opportunity arises in the market.
Body / Range %Body / Range is a volatility indicator that shows how many percentages the body candle occupies the range.
The ratio tells us about the health and confidence of the current candlestick.
Since overall candle Range is always bigger than the body range, Body/Range indicator will always fluctuate inside a range of 0 and 100%.
I didn't use True Range because it considers gaps and the ratio won't be considering individual candles. Therefore, I used high - low and identified it as Range.
In this function, the wicks play obviously role in determining the ratio too without its variable separately in the formula. I wouldn't use wicks here because Range = body + total wicks anyway. It already covers the variable. If I made the ratio with Body / Total Wicks, we wouldn't have stable 0 - 100% range of the indicator by the way. So it's fully justified dividing Body by Range to get some summarized Candle Metrics.
Logically we assume that if wicks are relatively bigger than body then the ratio will be relatively smaller and vice versa.
Change TF of the indicator is possible. For example, 3 months per bar would look like this:
PSAR-Support ResistanceParabolic Support Resistance -PSAR SR is based on the Dynamic Reversal Points of Price. This indicator eliminates the false signals of regular Parabolic SAR (Stop and Reverse). The Price of previous SAR Reversal point is plotted as Support and Resistance. The idea is to trade only after the previous reversal point is crossed and a new candle formation above / below the support resistance lines.
Price moves sideways in between the S/R Lines mostly.
Buy and Sell Signals are based on normal P-SAR settings however this S/R must be considered. Please be aware that the indicator cannot be used as a stand alone. Please make required confirmations before going into action.
Disclaimer: Please use it at your own Risk.
Bollinger Bands SignalsDescription:
This indicator works well in trendy markets on long runs and in mean-reverting markets, at almost any timeframe.
That said, higher timeframes are much preferred for their intrinsic ability to cut out noise. The example chart is in 3H TF.
Be mindful, the script shows somewhat erratic jigsaw-like behaviour during consolidation periods when the price
jumps up and down in indecision which way to go. Fortunately, there are scripts out there that detect such periods.
You can choose between 4 Moving Averages, Vidya being the default. Period, Deviation and Bands Width parameters
all of them affect the signal generation.
For the Pine Script coder this script is pretty obvious.
It uses a standard technical analysis indicator - Bollinger Bands - and appends it with a 'width' parameter and
a signal generation procedure.
The signal generation procedure is the heart of this script that keeps the script pumping signals.
The BB width is used as a filter.
You can use this procedure in your own scripts and it will continue generate signals according to your rules.
Cryptos Pump Hunter[liwei666]🔥 Cryptos Pump Hunter captured high volatility symbols in real-time, Up to 40 symbols can be monitored at same time.
Help you find the most profitable symbol with excellent visualization.
🔥 Indicator Design logic
🎯 The core pump/dump logic is quite simple
1. calc past bars highest and lowest High price, get movement by this formula
" movement = (highest - lowest) / lowest * 100 "
2. order by 'movement' value descending, you will get a volatility List
3. use Table tool display List, The higher the 'movement', the higher the ranking.
🔥 Settings
🎯 2 input properties impact on the results, 2 input impact on display effects, others look picture below.
pump_bars_cnt : lookback bar to calc pump/dump
resolution for pump : 1min to 1D
show_top1 : when ranking list top1 change, will draw a label
show pump : when symbol over threhold, draw a pump lable
🔥 How TO USE
🎯 only trade high volatility symbols
1. focus on top1 symbol on Table panel at top-right postion, trading symbols at label in chart.
2. Short when 'postion' ~ 0, Long when 'postion' ~ 1 on Table Cell
🎯 Monitor the symbols you like
1. 100+ symbols added in script, cancel remarks in code line if symbol is your want
2. add 1 line code if symbol not exist. if you want monitor 'ETHUSDTPERP ', then add
" ETHUSDTPERP = create_symbol_obj('BINANCE:ETHUSDTPERP'), array.unshift(symbol_a, ETHUSDTPERP ) "
🎯 Alert will be add soon, any questions or suggestion please comment below, I would appreciate it greatly.
Hope this indicator will be useful for you :)
enjoy! 🚀🚀🚀
Average True Range PercentWhen writing the Quickfingers Luc base scanner (Marvin) script, I wanted a measure of volatility that would be comparable between charts. The traditional Average True Range (ATR) indicator calculates a discrete number providing the average true range of that chart for a specified number of periods. The ATR is not comparable across different price charts.
Average True Range Percent (ATRP) measures the true range for the period, converts it to a percentage using the average of the period's range ((high + low) / 2) and then smooths the percentage. The ATRP provides a measure of volatility that is comparable between charts showing their relative volatility.
Enjoy.
Trail Blaze - (Multi Function Trailing Stop Loss) - [mutantdog]Shorter version:
As the title states, this is a 'Trailing Stop' type indicator, albeit one with a whole bunch of additional functionality, making it far more versatile and customisable than a standard trailing stop.
The main set of features includes:
Three independent trailing types each with their own +/- multipliers:
- Standard % change
- ATR (aka Supertrend)
- IQR (inter-quartile range)
These can be used in isolation or summed together. A subsequent pair of direction specific multipliers are also included.
Two separate custom source inputs are available, both feature the standard options alongside a selection of 'weighted inputs' and the option to use another indicator (selected via 'AUX'):
- 'Centre' determines the value about which the trailing sum will be added to define the stop level.
- 'Trigger' determines the value used for crossing of stops, initiating trend changes and triggering alerts.
A selection of optional filters and moving averages are available for both.
Furthermore there are various useful visualisation options available, including the underlying bands that govern the stop levels. Preset alerts for trend reversals are also included.
This is not really an 'out-of-the-box' indicator. Depending upon the market and timeframe some adjustments will be necessary for it to function in a useful manner, these can be as simple or complex as the feature-set allows. Basic settings are easy to dial in however and the default state is intended as a good starting point. Alternatively with some experimentation, a plethora of unique and creative configurations are possible, making this a great tool for tweaking. Below is a more detailed overview followed by a bunch of simple example settings.
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Lengthy Version :
DESIGN & CONCEPT
Before we start breaking this down, a little background. This started off as an attempt to improve upon the ever-popular Supertrend indicator. Of course there are many excellent user created variants available utilising some interesting methods to overcome the drawbacks of the basic version. To that end, rather than copying the work of others, the direction here shifted towards a hybrid trailing stop loss with a bunch of additional user customisation options. At some point, a completely different project involving IQR got morphed into this one. After sitting through months of sideways chop (where this proved to be of limited use), at the time of publication the market has began to form some near term trend direction and it appears to be performing well in many different timeframes.
And so with that out of the way...
INPUTS
The standard Supertrend (and most other variants) includes a single source input, as default set to 'hl2' (candle mid-range). This is the centre around which the atr bands are added/subtracted to govern the stop levels. This is not however the value which is used to trigger the trend reversal, that is usually hard-coded to 'close'. For this version both source values are adjustable: labelled 'centre' and 'trigger' respectively.
Each has custom input selectors including the usual options, a selection of 'weighted inputs' and the option to use another indicator (selected from the Aux input). The 'weighted inputs' are those introduced in Weight Gain 4000, for more details please refer to that listing. These should be treated as experimental, however may prove useful in certain configurations. In this case 'hl-oc2' can be considered an estimate of the candle median and may be a good alternative to the default 'centre' setting of 'hl2', in contrast 'cc-ohlc4' can tend to favour the extremes in the trend direction so could be useful as a faster 'trigger' than the default 'close'.
To cap them off both come with a selection of moving average filters (SMA, EMA, WMA, RMA, HMA, VWMA and a simple VWEMA - note: not elastic) aswell as median and mid-range. 'Centre' can also be set to the output of 'trigger' post-filter which can be useful if working with fast/slow crosses as the basis.
DYNAMICS
This is the main section, comprised of three separate factors: 'TSL', 'ATR' and 'IQR'. The first two should be fairly obvious, 'TSL' (trailing stop loss) is simply a percentage of the 'centre' value while 'ATR' (average true range) is the standard RMA-based version as used in Supertrend, Volatility Stop etc.
The third factor is less common however: 'IQR' (inter-quartile range). In case you are unfamiliar the principle here is, for a given dataset, the greatest 25% and smallest 25% of samples are removed. The remainder is then treated as a set and the range is calculated by highest - lowest. This is a commonly used method in statistical analysis, by removing the extremes it is less prone to influence by outliers and gives a good representation of the main dispersion around the median. In practise i have found it can be a good alternative to ATR, translating better across multiple time-frames due to it representing a fraction of the total range rather than an average of per-candle range like ATR. Used in combination with the others it can also add a factor more representative of longer-term/higher-timeframe trend. By discarding outliers it also benefits from not being impacted by brief pumps/volatility, instead responding only to more sustained changes in trend, such as rallies and parabolic moves. In order to give an accurate result the IQR is calculated using a dataset of high, low and hlcc4 values for all bars within the lookback length. Once calculated this value is then halved which, strictly speaking, makes it a semi-interquartile range.
All three of these components can be used individually or summed together to create a hybrid dynamics factor. Furthermore each multiplier can be set to both positive and negative values allowing for some interesting and creative possibilities. An optional smoothing filter can be applied to the sum, this is a basic SWMA-4 which is can reduce the impact of sudden changes but does incur a noticeable lag. Finally, a basic limiter condition has been hard-coded here to prevent the sum total from ever going below zero.
Capping off this section is a pair of direction multipliers. These simply take the prior dynamics sum and allow for further multiplication applied only to one side (uptrend/lo-stop and downtrend/hi-stop). To see why this is useful consider that markets often behave differently in each direction, we've all seen prices steadily climb over several weeks and then abruptly dump in the process of a day or two, shorter time frames are no stranger to this either. A lack of downside liquidity, a panicked market, aggressive shorts. All these things contribute to significant differences in downward price action. This function allows for tighter stops in one direction compared to the other to reflect this imbalance.
VISUALISATIONS
With all of these options and possibilities, some visual aids are useful. Beneath the dynamics' section are several visual options including both sources post-filter and the actual 'bands' created by the dynamics. These are what govern the stop levels and seeing them in full can help to better understand what our various configurations actually do. We can even hide the stop levels altogether and just use the bands, making this a kind of expanded Keltner Channel. Here we can also find colour and opacity settings for everything we've discussed.
EXAMPLES
The obvious first example here is the standard %-change trailing stop loss which, from my experience, tends to be the best suited for lower time frames. Filtering should probably minimal here. In both charts here we use the default config for source inputs, the top is a standard bi-directional setup with 1.5% tsl while the bottom uses a 2.5% tsl with the histop multiplier reduced to 0 resulting in an uptrend only stoploss.
Shown here in grey is the standard Supertrend which uses 'hl2' as centre and 'close' as trigger, ATR(10) multiplied by 3. On top we have the default filtered source config with ATR(8) multiplied by 2 which gives a different yet functionally similar result, below is the same source config instead using IQR(12) multiplied by 2. Notice here the more 'stepped' response from IQR following the central rally, holding back for a while before closing in on price and ultimately initiating reversal much sooner. Unlike ATR, the length parameter for IQR is absolute and can more significantly affect its responsiveness.
Next we focus on the visualisation options, on top we have the default source config with ATR(8) multiplied by 2 and IQR(12) multiplied by 1. Here we have activated the switch to show 'bands', from this we can see the actual summed dynamics and how it influences the stop levels. Below that we have an altogether different config utilising the included filters which are now visible. In this example we have created a basic 8/21 EMA cross and set a 1% TSL, notice the brief fakeout in the middle which ordinarily might indicate a buy signal. Here the TSL functions as an additional requirement which in this case is not met and thus no buy signal is given.
Finally we have a couple of more 'experimental' examples. On top we have Lazybear's 'Variable Moving Average' in white which has been assigned via 'aux' as the centre with no additional filtering, the default config for trigger is used here and a basic TSL of 1.5% added. It's a simple example but it shows how this can be applied to other indicators. At the bottom we return to the default source config, combining a TSL of 8% with IQR(24) multiplied by -2. Note here the negative IQR with greater length which causes the stop to close in on price following significant deviations while otherwise remaining fairly wide. Combining positive and negative multiples of each factor can yield mixed results, some more useful than others depending upon suitable market conditions.
Since this has been quite lengthy, i shall leave it there. Suffice to say that there are plenty more ways to use this besides these examples. Please feel free to share any of your own ideas in the comments below. Enjoy.
Market Sessions - By LeviathanA simple indicator to help you keep track of 4 market sessions (default: Tokyo, London, New York, Sydney) in 4 different visual forms (boxes, timeline, zones, colored candles) with many other useful tools.
You can choose between 4 different market sessions. The default ones are Tokyo, London, New York and Sydney but you can easily customize the times, names and colors to make the script plot any session you need. Sessions can be viewed in 4 different ways: boxes, zones, timelines, or just colored candles, all with customizable appearances. You can make your chart cleaner by merging sessions overlaps, choosing a custom lookback period and also picking between various additional settings such as viewing session High/Low or Open/Close change in % or pips, hiding weekends, viewing the Open/Close Line to identify session’s direction and 0.5 level to see session’s “Equilibrium” and much more. More updates with interesting tools will be added in the future.
Note: The script will plot the correct default Tokyo, London, New York and Sydney sessions automatically, your chart/Tradingview app timezone does not matter! If you wish to tweak the open/close times of sessions, just make sure you input them in UTC (but even this can be changed later in the settings)
Settings Overview
SESSIONS
- You can show/hide Tokyo Session, rename it, change the color and set up start/end time.
- You can show/hide London Session, rename it, change the color and set up start/end time.
- You can show/hide New York Session, rename it, change the color and set up start/end time.
- You can show/hide Sydney Session, rename it, change the color and set up start/end time.
* Keep in mind that you can fully change and customize these sessions and therefore create any other sessions or a zone you wish to display.
ADDITIONAL TOOLS AND SETTINGS
1. “Change (Pips)” - this will add the pip distance between Session High and Session Low or the pip distance between Session Open and Session Close to the session label.
2. “Change (%)” - this will add the percentage distance between Session High and Session Low or the percentage distance between Session Open and Session Close to the session label.
3. “Merge Overlaps” - this will merge the overlapping sessions and show only one at a time (end of Tokyo is moved to start of London, the end of London is moved to the start of New York, end of New York is moved to start of Sydney and end of Sydney is moved to start of Tokyo).
4. “Hide Weekends” - this will prevent the script from plotting sessions over the weekend when the markets are closed.
5. “Open/Close Line” - this will draw a line from the session open to the session close (or current price, if session is ongoing).
6. “Session 0.5 Level” - this will draw a horizontal line halfway between the session’s high and the session’s low.
7. “Color Candles” - this will color the bars/candlesticks with the color of the session in which they occurred.
8. Display Type” - Choose between three different ways of session visualization (Boxes, Zones and Candles).
9. “Lookback (Days)” - this input tells the script to only draw sessions for X days back (1 = one day).
10. “Change (%/Pips) Source) - this is where you choose the source of “Change (Pips)” and ”Change (%) ” labels. Picking “Session High/Low” will show you the change between Session High and Session Low and picking “Session Open/Close” will show you the change between Session Open and Session Close.
11. “Input Timezone” - this defines the timezone of the session start/end inputs (you don’t have to change this unless you know what you’re doing)
Make sure to read future update logs to keep track of the most recent additions and settings of this script.
Box generation code inspired by Jos(TradingCode), session box visuals inspired by @boitoki's FX Market Sessions
True Range MomentumThe indicator calculates the momentum of bullish and bearish based on the average true range and the highest highs and lowest lows of the historical price.
The indicator displays the strength for either taking a long position, or a short position.
The simplest way to use the indicator is to take a long position when the M+ line crosses above the 0 line. Similarly, to short, the M- line should cross above the 0 line. The exit would be when the respective line crosses below the 0 line.
The contrarian traders should wait for the lines to start rising towards the 0 line and taking an exit. In essence, the line should be going from negative to 0.
The greater the divergence between the M+ and M-, the stronger the trend.
The small table of Long and Short suggests what is in strength. A 100 will show a strong trend in the respective direction. It will be 50-50 when there is no clear direction, ideally identifying a consolidation range.
DEVIATION OF THE STOCHASTIC INDICATORThis new technical indicator uses the stochastic oscillator as its base and calculates the deviation of its moving average, generating an alternative view of market volatility.
RedK TrendBeads: 3 x MA Crossover Signal with Preset TemplatesRedK TrendBeads is a super simple 3 x Moving Average Crossover Signal (Long/Short/Break) script that provides a simple and effective way for traders to identify potential trading opportunities. By combining three moving averages and only exposing a simple signal, the script helps filter out noise and focus on the trend and the trade execution.
Background
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A 3 x Moving Average Crossover strategy is a popular trading method in technical analysis . It uses the relationship between a fast, medium, and slow moving averages to generate buy or sell signals.
The approach usually utilizes three moving averages to track the average price of a financial instrument over different time periods. By comparing the fast, medium, and slow moving averages, we can generates a signal to trade long or short
If the fast moving average crosses above the medium moving average and the medium moving average is above the slow moving average, we have a probability of an up-trend forming, and we generate a signal to go long. Conversely, if the fast moving average crosses below the medium moving average and the medium moving average is below the slow moving average, we have a probability of a down-trend forming, and we generate a signal to go short. When the moving averages are not in the right order (above or below each other), we have a trend break, usually on consolidation or base forming.
in TrendBeads, the fastest MA is called "Price Proxy MA" and will be used with a relatively short length to represent the price itself - then there are the Fast MA, Slow MA and a Filter MA (usually with the longest/slowest length) which is the main line that will be used to plot the TrendBeads - So the TrendBeads will represent the state of the other 3 Moving Average lines (Proxy, Fast and Slow) and how they are aligned - and it will also be common to use the Filter / Beads line itself as a main filter, i.e., take long positions *only* when the price action is above the Filter MA, and short positions *only* when the price is below the Filter MA.
So what is different with TrendBeads:
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Simplicity, No Clutter: I put this together to provide a super simple mechanism to track trend on the price chart without so much noise as i also wanted to have other top-chart indicators (like LadderTrader) - so TrendBeads only shows the "beads" on the chart - they act like "traffic lights" with little distracting information - Simplicity here was deliberately part if the idea
Presets, What others are Watching: The other feature I needed was the ability to track price action against "different sets" of Moving Averages quickly - for example, when executing short-term trades, I needed to use Moving Averages with shorter length and want to utilize my RSS_WMA MA type - but when assessing big breakout opportunities, I need to analyze price action against a different set of MA's with (usually) longer length and mainly SMA's (hint, The Minervini template) - This is where the built-in Preset Templates become very useful.
Having these preset templates quickly available (thru the dropdown in indicator settings) provides time saving, convenience and the confidence that we're looking at what other traders are using in their analysis - so not missing out on key-level breakouts or reversals
TrendBeads v1.0 includes the following 5 preset MA templates
======================================================
Preset 1 : RedK_1: 8RSS / 15RSS / 21RSS / 30SMA
Preset 2 : RedK_2: 5WMA / 10SMA / 20SMA / 40SMA
Preset 3 : SWNG_1: 7EMA / 21EMA / 30EMA / 50SMA
Preset 4 : SWNG_2: 10EMA / 21EMA / 50SMA / 100SMA
Preset 5 : SWNG_3: 10EMA / 21EMA / 100SMA / 200SMA
The above presets represent some of the most common sets of MA's traders use in various scenarios (Short-term/day trading, Swing, Long term / growth). Well, except for the first one since it utilizes my own RSS_WMA :) which I use in many charts
I may add some more presets in future.
below chart shows an example of different presets against AAPL for the same time range / window
There's also the ability to manually set different MA source price, MA type and length for each of the 4 MA lines. Supported MA types are SMA , EMA , WMA , HMA and my RSS_WMA
TrendBeads Usage Tips:
=====================
*If you have used any MA crossover (2 lines or 3 lines) on your chart, your should find TradeBeads very easy to use. TrendBeads works the same way except that the signal will show as colored beads on the Filter MA line instead of showing multiple crossing lines .. and that is by design.
* Feel free to expose any or all of the individual MA lines - for example, i find that exposing the Proxy Line helps in quickly finding famous chart patterns ( cup & handle , H&S ..etc)
* Experiment with the different presets depending on the type of trade you're working on (swing, long term growth candidates, day trades..etc)
* Note that in a long trend up (Aqua Beads), usually the first gray + orange sequence will usually act as a "reversal sign" - and are usually not actionable - always look for the "second" color sequence to action/trade .. Same thing for a long trend down -- get used to how the beads change color against the trend changes and play with various timeframes.
* As usual - we should have other indicators that track strength, volume , etc and ensure proper confirmation before trade execution - A good signal is only a small part of a trade - risk management and good trade execution are key to winning.
Hope some fellow traders will find this useful - feel free to leave me any comments or feedback - Good luck!
cankardesler stoploss v2This stoploss allows to filter high volatility fake trends;
But how we are made it; we are calculating the last spikes value average and calculating the standart deviation, after we added to the standart stoploss formula price+2atr and voila!!
Your stop loss is ready.
The idea behind this formula: what is explosing our stops? fake-out spikes.
We think if we get the last spikes average and calculate the standart deviation on it and after add it to the original stop formula, its gonna help for bypassing the spikes.
Thanks a lot @ocankardes for helping me to developing this formula
Simple RangeThe daily price range is a good proxy to judge an instrument’s volatility. I have combined multiple concepts in this indicator to display information regarding the daily price range & its volatility.
A trading period's range is simply the difference between its high and the low. This script shows the daily high-to-low range of the price as a column chart. It has 3 main components:
1. Narrow-range days (NR7) & Wide-range Days (WR20) - as plot columns
Original concept from Thomas Bulkowski
Modified from "NR4 & NR7 Indicator" script by theapextrader7
Modified from "WR - BC Identifier" script by wrpteam2020
Narrow range days mark price contractions that often precede price expansions. This script uses NR7 (narrow range 7) as a narrow-range day. This value can be changed by the user if, instead of an NR7, he or she wishes to use NR4 or NR21, or any other interval of his or her choice. NR7 is an indecisive trading day in which the range is narrower than any of the previous six days (a total of 7 days). This is a popular concept given by Thomas Bulkowski. A breakout is said to occur when price closes above the top or below the bottom of the NR7. Upside breakout of an NR 7 candle with high volumes indicates bullishness.
Similarly, highs & lows of wide-range bars (on big volumes) are also significant reference levels for price. Wide-range candle are identified by size of the body candle (open - close). The script compares the size of previous 20 candles to identify WR20 candles. This value can also be changed by the user.
The script shows NR7 & WR20 as orange & blue bars, respectively.
The user can also turn on the option to identify a big high-to-low range candle greater than a pre-defined threshold (default is 5%). These show up as green or red bars.
2. TTM Squeeze - as background
Original concept from John Carter's book "Mastering the Trade"
Based on "Squeeze Momentum Indicator" script by LazyBear
John Carter’s TTM Squeeze indicator looks at the relationship between Bollinger Bands and Keltner's Channels to help identify period of volatility contractions. Bollinger Bands being completely enclosed within the Keltner Channels is indicative of a very low volatility. This is a state of volatility contraction known as squeeze. Using different ATR lengths (1.0, 1.5 and 2.0) for Keltner Channels, we can differentiate between levels of squeeze (High, Mid & Low compression, respectively). Greater the compression, higher the potential for explosive moves.
In the script, the High, Mid & Low compression squeezes are depicted via the background color being red, orange, or yellow, respectively.
3. Average Daily Range - as table
Original idea by alpine_trader
Modified from "ADR% - Average Daily Range % by MikeC" script by TheScrutiniser
Average Day Range (ADR) tells how much the price moves between the high and low on a given day. This is the day Range, which is then averaged to create ADR. The script uses an average of the last 20 days to calculate the ADR. Unlike ATR (Average True Range), this excludes Gaps.
The script displays the ADR as a % value in a table.
If you want to find stocks that move a lot on an average on most days, then look for stocks that have ADR% of 5% or more.
If you prefer lower volatility stocks, focus on stocks with lower ADR% values, such as 2% or less.
How it comes together
For a bullish "momentum burst", or a velocity trade:
Select stocks with Average Day Range % (ADR) greater than 5
Identify significant reference price levels via highs & lows of WR20 bars (on big volumes)
Wait for a decent mid-to-high compression squeeze
Look for clusters of NR7 candles in the consolidation
Any breakout from this consolidation should be accompanied by more than average (preferably pocket pivot) volumes
Fibonacci Step IndicatorThe Fibonacci Step Indicator assumes irregularity in calculating a moving average. It is measured as the mean of the previous lows and highs situated at Fibonacci past periods. For example, the mean of the lows from 2, 3, 5, 8, etc. periods ago form the Fibonacci step indicator.
The indicator uses the formula for the first twelve Fibonacci numbers on highs and lows so that it creates a moving support/resistance zone. Afterwards, the zone is stabilized by taking the highest highs of the upper indicator and the lowest lows of the lower indicator part.
The indicator is used as a trend following way. It can be compared to the Ichimoku Kinko Hyo cloud (without the future projection). The zone form a support and resistance area. During ranging periods, the market will fluctuate within the area which is a bad time to follow the trend (if any).
Relative Performance Dashboard v. 2This is a smaller and cleaner version of my previous Relative Performance table. It looks at the rate of change over 1M, 3M, 6M, 1YR & YTD and displays those for the current chart's ticker vs. an index/ticker of your choosing (SPX is default). I also have some fields for the ADR of the displayed chart, how far away the displayed chart is from 52-week highs, and a single number that compares the average relative strength of the displayed chart vs. the index. The way this average calculates is customizable by the user.
I like using this table next to an Earnings/Sales/Volume table that already exists by another user in the same pane and I designed this one so it can look just like that one to give a great view of the both fundamental and technical strength of your ticker in the same pane.
Keeping fundamental data independent from performance data allows you to still be able to see performance on things without fundamental data (i.e. ETFs, Indices, Crypto, etc.) as any script that uses fundamental data will not display when a chart that does not have fundamental data is displayed.
NET BSP NET BSP derived from Buying & Selling Pressure which is a volatility indicator that monitors average metrics of green and red candles separately.
We could navigate more confidently through market with projected market balance.
BSP allowed us to track and analyze the ongoing performance of bullish and bearish impulsive waves and their corrections.
Due to unintuitive way of measuring decline with SP going up, I decided to remake it into more intuitive version with better precision.
When we encounter the fall it's better to have declining values of tool to be able to cover it visually with ease.
One of the solutions was to create a sense of balance of Buying Pressure against Selling Pressure.
Since we are oriented by growth, it'd be more logical to summarize the market balance with BP - SP
Comparison:
When Buying and Selling Pressure are equal, NET BSP would be at 0.
NETBSP > 0 and NETBSP > NETBSP = 🟢
NETBSP > 0 and NETBSP < NETBSP = 🟡
NETBSP < 0 and NETBSP < NETBSP = 🔴
NETBSP < 0 and NETBSP > NETBSP = 🟡
Hence, we get visualized stages of uptrends and downtrends which allows to evaluate chances and estimations of upcoming counter-waves.
Also, it is worth to note that output clearly shows how one wave is derived from another in terms of sizing.
Feel free to adjust NET BSP arguments to adapt sensitivity to the timeframe you're working on.
LNL Keltner CandlesLNL Keltner Candles
This indicator plots mean reversion (reversal) arrows with custom painted candles based on the price touch or close above or below keltner channel limits (upper & lower bands). This study was created primarily for swing trading & higher time frames such as daily and weekly. Lower time frames might result in more false signals.
Mean Reversal Arrows:
1. Reversal Arrow Up - If the price drops below the lower band extremes, reversal up is the trigger for a bullish mean reversion.
2. Reversal Arrow Down - Once the price reach the higher band extremes, reversal down is the trigger for a bearish mean reversion.
The Concept of Mean Reversion:
There are just two types of moves in any market: The market is either expanding from the mean or retracing back to the mean. These reversions & epxansions are happening across all types of markets. The goal of this study is to catch the powerful mean reversion from extremes back to the mean. Once the candles light up green / red, it is time to look for the reversal (purple) arrow which triggers the mean reversion setup. Mean reversion is not about catching the next big swing turn to new highs or lows. It is all about the base hits = the mean. So the target here is always the average price. The idea here is to catch the average market ebbs & flows, not the next home run.
What Do I Mean by Mean?
Mean is usually the average price from the last 20-30 bars. Basically something like a 20 MA or Keltner Channel or Bollinger Band midline are really good visual representators of the mean (average price).
Hope it helps.
ER-Adaptive ATR Limit Channels w/ States [Loxx]As simple as it gets, channels based on high, low and ATR distances, Shows possible short term support / resistance or can be used as a take profit/stop-loss in some trading systems. It does this by comparing high/low values of price to multiplied by a multiple of ATR to determine when the trend changes. States are included to change the sensitivity to trend changes. 1 is very sensitive, 3 is least sensitive.
This uses Loxx's Expanded Source Types. You can read about them here:
What is ER Adaptive ATR?
Average True Range (ATR) is widely used indicator in many occasions for technical analysis . It is calculated as the RMA of true range. This version adds a "twist": it uses Perry Kaufman's Efficiency Ratio to calculate adaptive true range
Profitable Supertrend v0.1 - AlphaThis a script to try detect the best combination of supertrend parameters in a space of time. Sadly the script is slow. Evaluate all possibilities params is hard for a pinescript and my knowledge too. In some cases, when you want evaluate many time could be the script fails for timeout. Perhaps with time I could enhance. For this problem of speed the calculate of combinatios it's not complete: In factor use a increment of 0.2 in each param (0.1, 0.3, 0.5 ...) in period the increment for each value is 3. The range for factor it's from 3.0 to 12.0. The range of period it's from 10 to 43
My knowledge don't let me go more far. Perhaps with time I can enhance the script.
Open Interest Delta - By LeviathanThis script plots Open Interest Delta (change in OI). It also draws a heatmap and colors chart's candles to help you identify bars with large OI increase or decrease and apply Open Interest analysis concepts to your trading.
Positive OI Delta = net increase in open/unsettled positions
Negative OI Delta = net decrease in open/unsettled positions
Volume Price Balance by serkany88This idea has been in my mind for a while. We all know how important volume is to technical analysis but volume and price itself doesn't mean much when volatility and momentum of the current trend is not taken into account. With this oscillator we try to combine all these factors into one indicator and provide a simplified interpretation of this relationship with spread analysis. This indicator can be used in all timeframes but higher timeframes like 1 hour and above will provide most stable results.
How it works?
This oscillator tries to analyze volume spread along with price spread based on wyckoff methods and attains certain "strength value" for each candle and it's relationship with the volume. After this calculation preferably we remove detected rejection candles from overall calculation and draw them as plots. The multipliers of the strengths can be changed from the settings.
Green Line Above Red Line = Bullish momentum stronger
Red Line Above Green Line = Bearish momentum stronger
Top circles mean possible bullish reversal candle detected. Gray is weak, White is normal and Red top circle means strong possible reversal detected.
Bottom circles mean possible bearish reversal candle detected. Gray is weak, White is normal and Green bottom circle means strong possible reversal detected.
Let's check the example below
As you can see we see a green dot appear in a somewhat weakening bullish momentum, this can mean possible reversal can happen soon and it does.
Below is a bearish example
In this example we see a possible strong reversal signal in a increasing bullish momentum and the price reacts immediately after the candle.
We also have a table that shows the current non-smoothed result of trend strength based on calculated price-volume spread at top right of the oscillator.
