Dynamic Zone Range on OMA [Loxx]Dynamic Zone Range on OMA is an One More Moving Average oscillator with Dynamic Zones.
What is the One More Moving Average (OMA)?
The usual story goes something like this : which is the best moving average? Everyone that ever started to do any kind of technical analysis was pulled into this "game". Comparing, testing, looking for new ones, testing ...
The idea of this one is simple: it should not be itself, but it should be a kind of a chameleon - it should "imitate" as much other moving averages as it can. So the need for zillion different moving averages would diminish. And it should have some extra, of course:
The extras:
it has to be smooth
it has to be able to "change speed" without length change
it has to be able to adapt or not (since it has to "imitate" the non-adaptive as well as the adaptive ones)
The steps:
Smoothing - compared are the simple moving average (that is the basis and the first step of this indicator - a smoothed simple moving average with as little lag added as it is possible and as close to the original as it is possible) Speed 1 and non-adaptive are the reference for this basic setup.
Speed changing - same chart only added one more average with "speeds" 2 and 3 (for comparison purposes only here)
Finally - adapting : same chart with SMA compared to one more average with speed 1 but adaptive (so this parameters would make it a "smoothed adaptive simple average") Adapting part is a modified Kaufman adapting way and this part (the adapting part) may be a subject for changes in the future (it is giving satisfactory results, but if or when I find a better way, it will be implemented here)
Some comparisons for different speed settings (all the comparisons are without adaptive turned on, and are approximate. Approximation comes from a fact that it is impossible to get exactly the same values from only one way of calculation, and frankly, I even did not try to get those same values).
speed 0.5 - T3 (0.618 Tilson)
speed 2.5 - T3 (0.618 Fulks/Matulich)
speed 1 - SMA , harmonic mean
speed 2 - LWMA
speed 7 - very similar to Hull and TEMA
speed 8 - very similar to LSMA and Linear regression value
Parameters:
Length - length (period) for averaging
Source - price to use for averaging
Speed - desired speed (i limited to -1.5 on the lower side but it even does not need that limit - some interesting results with speeds that are less than 0 can be achieved)
Adaptive - does it adapt or not
Variety Moving Averages w/ Dynamic Zones contains 33 source types and 35+ moving averages with double dynamic zones levels.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
4 signal types
Bar coloring
Alerts
Channels fill
在腳本中搜尋"range"
ATRP (Average True Range Percent)ATRP compares the average true range in percentage terms between two periods. A healthy correction occurs with short-term volatility contracting vs longer-term volatility. It also helps spot low-risk entries as volatility falls.
I also included the historical average true range in percentage terms so an investor can quickly visualize what a likely daily range will be.
In my experience, it is vital to apply this analysis to stocks trending above their 50 and 200-day moving averages as stocks in downtrends can keep falling for extended periods of time with dwindling volatility.
Average D,W,M Range-By AtropineThis is an intraday indicator.
The Average Range is a simple concept, calculated as the difference between highs and lows averages over some period.
This Indicator provides an Average Range of Daily, Weakly, Monthly upper and lower level daily.
It can be useful for helping guide support and resistance , for taking profits and for placing stoploss.
True Range with Context BandsThis is a very simple script which puts current price action magnituted into a larger context.
Red is true range of the current candle.
Blue is Average True Range x1, x2, x3
The idea is to use this to filter out too weak price action signals by taking only above average ones.
Session LevelsThis indicator plots important session (intraday) levels for the day. It plots high and low of previous day, week, month, 52 week and all time. Also plots the vix range which shows the daily expected trading range of the instrument. These levels acts as important support/resistance for the day.
For example, if price closes above previous day, week, or month high/low it indicates bullish sentiment and vice versa for bearish.
Vix Range plots top, center, bottom line for expected trading range for the day. It is calculated based on the volatility index selected (NSE:India VIX is used by default).
IR% - Intraday Range (% or $)Shows the percentage difference between the High and Low of the price bar expressed as a percent of the Open of that bar. In the settings, you can change to Price Change instead of percent change. This will show the price change between the High and Low for each price bar.
It can be used on any time frame.
I use it on the daily chart . I note the daily figure, and that lets me know how far the price tends to move during a typical day (no gaps included).
If using on another time frame other than the daily, then it is an intrabar calculation, not intraday.
Apply a moving average to it to see the average intraday movement after the open when using a daily chart .
The IR% of a 1-minute chart tells you the price range of that one-minute price bar, and a weekly chart will show the price range of each weekly price bar.
It only measures high to low versus the candle's open price. It does not include gaps between candles, which makes it different than the ATR. ATR is more useful for swing trading, where the trader may be holding through gaps in price, and thus wants to factor them in.
The IR% is useful for day traders because it shows how much a stock tends to move during the day (intraday range), when using a daily chart . ATR is not as effective for this because it includes gaps, which day traders can't generally capitalize on.
If the IR% is fluctuating between 5% and 10% over the last 50 days or so (on the daily chart ), day traders know that AFTER the open, the price is likely to move 5% to 10% from high point to low point. This can help with establishing profit targets, seeking out stocks that tend to move a lot within the day, or avoid these types of stocks if they are undesirable to you. Seek out low IR% stocks if you prefer lower movement during your selected time frame.
A stock may have an ATR% of 5% but ATR doesn't tell us if that movement occurred after the open or includes a gap. Some stocks are prone to gaps. They may gap 4% most days, and then only move 1% during the day. This will still be a 5% ATR%, but most of that movement ISN'T capturable each day. The IR% for this stock would only be 1%, not 5% like the ATR suggests.
I developed this because I like day trading volatile stocks, and I wanted a measure that ONLY includes movement during the day, and doesn't include price gaps in the calculation. Because as a day trader, gaps don't matter to me. I can only make money on what happens during the day, after the open.
It is similar to another indicator called Average Day Range (ADR). Although most ADR calculations are already calculated as an average (so I don't see each individual value) or plots things on the chart. This may be useful for some people, but I wanted to see the data on each price bar, have the option to add a moving average or not, and not have anything plotted on the price chart. It also nice to be able to flip from % to $ dollar movement if desired.
Mansfield Long-Range BackgroundMansfield Long-Range Background. From Stan Weinstein's book.
This plots the high-low range for the last N years, including the current year.
It gives us an idea of any long-term resistance or support in play, which may affect how a trend behaves.
Note that one could just as easily check the yearly chart to get what this is showing, but it's convenient to have a template with all the elements required to emulate a Mansfield chart.
Artharjan INDIA VIX v/s Nifty Volatility DashboardHi,
I have created Artharjan INDIA VIX v/s Nifty Volatility Dashboard to forecast the Annual, Quarterly, Monthly, Weekly, Daily and Hourly Volatility of NIFTY Benchmark Index based on current value of INDIA VIX. This will help Index Options Sellers to decide the range of Nifty for the given period based on current level of volatility indicated by INDIA VIX.
Options Sellers may make use of the Min Range and Max Range values for the Strike Price Selection.
Regards
Rahul Desai
@Artharjan
FTL - Range Filter X2 + EMA + UOThjs script combines two range filters, an EMA and the Ultimate oscillator.
This is an indicator type of script with alerts that is ideal for one minute scalping and was developed initially for NAS100 but has been used successfully with other symbols.
The two range filters are used to detect when the short and mid term trends are in the same direction.
The EMA indicates the longer term trend and the UO is used to determine if an asset is overbought or oversold.
This indicator pairs well with divergence indicators to add confluence to a change in direction.
Additional features of this indicator:
- Configure whether to show buy and sell labels only when asset is not overbought or oversold
- Select whether to show buys only when price is above the EMA , or sells only below the EMA
- Indicate a bar where a trend crosses the EMA and select if the crossover or cross under should be shown only in a counter trend.
- Pullbacks within a trend can be identified. This may indicate trend continuation.
- Alerts can be created for pullbacks, EMA crossing and for buy or sell signals
[SKP] Opening Range Reversals with FIBO zonesopening range reversal zones with fibo .50, .618, .786, 1 levels
opening range time can set as you like, 15M, 30M etc
entry at .50 and .618 levels with stop loss .786 and 1 levels.
do backtest and practice..
idea from author colejustice
Correlations P/L Range (in percent)This script shows the inefficiency of the markets.
Comparing two (correlated) symbols, the values above 0 means the main symbol (at the top of the graph)
outperforms the other. A value below 0 means the main symbol underperforms the other.
The band displays different entries until the last candle. Any P/L (of the band range)
is visible in the band. Example: given a band range length of 5, then all last 5 values
are compares with the current value for both symbols. Or in other words:
If symbol A, lets say ETHUSD outperforms, lets say BITCOIN (the main symbol), in the last
5 candles, then we would see all values of the band are negative.
Any question, comment or improvements are welcome.
first hour high and low by akash mauryaThis indicator marks the first hour's high and low with a line with the percentage of range height.
First hour high and low generally act as heavy support and resistance or say major key areas in daily intraday charts.
You can adjust the settings if you want to see previous days' hour range lines or not.
This indicator will automatically create hour-range lines after an hour of market opening.
Average True Range for Day TradingThis script is meant for day traders to help identify the possible range that price could move either up or down for the day based on the previous day's average true range (ATR). Horizontal lines are projected from the start of the day with an offset from the previous day's close by adding and subtracting the ATR to the previous day's close. The ATR is typically set to the daily timeframe, while this script allows you to go into lower timeframes, while maintaining the ATR projections at the higher timeframe (e.g. daily).
Here is an example of the script showing the ATR projections at the daily timeframe for BYBIT:BTCUSD :
When changing the chart timeframe to 5min, the script ensures the daily ATR projections are shown/overlaid:
ATR vs Day Trading Range and PercentageThis indicator displays the Current Daily ATR vs the current Day Range and displays the percentage.
For example if the Daily ATR is $5 and the current range of the day is $10 this would be 200% the original move.
It is color coded (and can be modified) to change color when the Daily range is over 100% the ATR.
The time frame can be changed from Daily just be aware you must be on a lower timeframe then selected. So if you want to compare the current 30 minute ATR to the current 30 minute range you will need to be showing a 30 min chart or lower for it to calculate correctly.
Gann Square Range - majalad
s3.tradingview.com
Price and Time squaring is one of the main concepts that W.D. Gann introduced and talked about in his books. This script uses those techniques to Square a Range that you specify on the chart.
Using this script you can square the chart based on:
Price
Time
Both Price and Time
You can also choose to square based on the price, price squared or square root of the price with a lot of customization and coloring options. You have the overall control to change any part of the script including lines colors, style, thickness, fill colors and so on.
Please note that although the script tries to set the direction and the price per point automatically for you, sometimes for very fast or very slow instruments you will need to define the price per point for the instrument that you are dealing with.
How to use
Once you add the script, you will need the 2 points associated with the Range you want to square. The script will prompt you to select the first point on the chart then the second point.
The script will calculate the price per point and the trend direction for you automatically.
If needed, you can change the price per point and the direction from the settings.
You can also select to add multiple boxes for the same squared range
Please PM me for access or for any question.
EMA MTF PlusI like trading the 1 minute and 3 minutes time-frames. I'm what is commonly called a "scalper". Long term investments yes, I have some, but for trading, I don't have neither the time,
nor the patience to wait hours or days for my trade to be complete.
This doesn't mean I discount the higher time-frames, no, I actually rely heavily on them. I found that EMAs do a decent job as support/resistance, sometimes to a tick level of precision. And this is important for a 1 minute trader.
As such, I made this script that tracks the higher time-frames EMAs and displays the last value as a line.
I do not need the whole EMA, I'm not interested in crossovers or crossunders, these are anyway late signals for me.
What's with the triangles? These are local tops/bottoms , candles that have a have decent size of the wick. These tops and bottoms are by no means "final", they are merely a rejection at certain levels of price. Due to markets complexities (and human erratic behaviors hehe) these levels could be breached at the very next candle. For a more "final" version (nothing is really final but..) I added Schaff Trend Cycle as filter, so a triangle will pop only when a trend is mature enough ( STC with a value near 0 or near 100).
Colored bars. When the body of the candle is big, it shows strength. Strong bars tend to have follow through, especially when breaking key levels. The script looks at the body of the candle and compares it with ATR (Average True Range), if it's at least 0.8 of ATR it changes the bar color to yellow (bull candles) or fuchsia(bear candles).
Range identifier. This code is copied from Lazy Bear (if there are any issues please let me know), it's very useful in conjunction with colored bars.
I look for breakout candles that go outside of the range as a signal for a trade.
There are many ways in which this script can be useful, like trading mean reversions or momentum trades (breakouts) or simply trend following trades.
I hope you guys find it useful, you can play with default values and change them as you like, these are what I found to be working best for me and my trading universe (mostly crypto).
Special thanks for the original work of:
LazyBear
everget
Jim8080
Koalafied Initial Balance Levels and ExtensionsShows the Initial Balance and range extensions for either the Daily session or individual market sessions (Asia, London, New York).
Initial Balance is the range represented by the first two segments (typically half-hour segments) of a trading session. Range extensions are a function of the longer-term trader participation, pushing price outside of the beginning 'fair' range established by the local traders. With the introduction of 24/7 markets the initial balance is often now regarded as less important than in the past, however re-calculating IB for multiple trading sessions may reinstitute insight to Market Direction and Confidence
EMA deviation & Range with barcolor changeThis indicator includes an EMA, a range and outer lines similar to the Bollinger Bands, but with a different calculation (which also becomes apparent once you compare the two). This indicator fits very well with the EMA pullback strategy.
The color of the candles changes depending on where it is located.
Above the EMA - green
Below it - red
Inside the range - black
All colors as well as lines are customizable under the Style tab.
The "Deviation" can be set to 0, here there are only slight deviations.
The EMA range can be adjusted in 0.1 steps to achieve the highest possible accuracy of the pullbacks.
If you have any questions, please don't hesitate to contact me.
Relative Strength Index with Range ShiftThis RSI implements the additional concept of "Range Shift" to accommodate speculative bias towards a Bullish, Strong Bullish, Bearish, or Strong Bearish outlook.
Select the range bias in the settings and get better color coded feedback from the indicator.
Bar StatisticsThis script calculates and displays some bar statistics.
For the bar length statistics, it takes every length of upper or lower movements and calculates their average (with SD), median, and max. That way, you can see whether there is a bias in the market or not.
Eg.: If for 10 bars, the market moved 2 up, then 1 down, then 3 up, then 2 down, and 2 up, the average up bars length would be at 2.33, while the average for the down length would be at 1.5, showing that upper movements last longer than down movements.
For the range statistics, it takes the true range of each bar and calculates where the close of the bar is in relation to the true low of it. So if the closing of the bar is at 10.0, the low is at 9.0, and the high is at 10.2, the candle closed in the upper third of the bar. This process is calculated for every bar and for both closing prices and open prices. It is very useful to locate biasses, and they can you a better view of the market, since for most of the time a bar will open on an extreme and close on another extreme.
Eg.: Here on the DJI, we can see that for most of the time, a month opens at the lower third (near the low) and closes at the upper third (near the high). We can also see that it is very difficult for a month to open or close on the middle of the candle, showing how important the first and the last day are for determining the trend of the rest of the month.
MORNING RANGE SELECTIONThis script marks the morning range high and low of the 1st candle .
Range can be 15 mins ,30 mins ,1Hr as selected by the user.
HIGH are marked as red because it act as resistance.
LOW are marked as green because it will act as support.
Average Daily Range Fibonacci LevelsThe Average Daily Range is a simple concept, calculated as the difference between daily highs and lows averaged over some period. This indicator uses that range in conjunction with Fibonacci ratios to create zones centered on the day's open that tends to act as areas of support and resistance.
The thicker White lines are the ADR levels; all other lines are the same value adjusted by the various Fibonacci values.
A simpler version of this concept can be seen in my other script, Average Daily Range Zones, which does not include the Fibonacci ratio zones.
Thanks to @Hank Hill for the original idea and TV for the feedback and support on the use of the security() function.
Also thanks to @GoldenCross for the Fibonacci obsession.
Average Daily Range ZonesThe Average Daily Range is a simple concept, calculated as the difference between daily highs and lows averaged over some period. This range is is overlaid and centered on the day's open, and tends to act as areas of support and resistance . This indicator provides two aggregation periods, creating a range that represents volatility in the ADR; a wider spread indicates greater recent volatility , and vice-versa.
Thanks to @Hank Hill for the original idea and ToS script this is based on, and TV for the feedback and support on the use of the security() function.
