Sector MomentumThis indicator shows the momentum of a market sector. Under the hood, it's the MACD of the number of stocks above their 20 SMA in a specific sectors. The best insight it gives is to tell if the market is doing a sector rotation or having a full blown correction.
Users have the options to choose a specific sector out of the 11 sectors:
XLB, XLC, XLE, XLF, XLI, XLK, XLP, XLRE, XLU, XLV, XLY or show all them them by adding multiple indicators.
Use this indicator similar to MACD to look for momentum acceleration, deceleration and turn in a sector. More importantly, users can open up the indicator for all sectors and then compare between each.
Examples:
1. When we see momentum slows down in XLP and turn of XLK, it's a sign of sector rotation from consumer staple to tech. Money is going from defensive to riskier assets. Market is leaning towards risk-on mode. Stocks in tech have higher probability to outperform those in consumer staple.
2. When we see momentum subside across all sectors all at once or one by one, particularly both XLP, XLK/XLY, we'd expect market breadth is taking a hit across all sectors. This is not a sector rotation. A short to mid term market correction or drawdown is very likely.
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Momentum Regime Filter BTC by [VanHelsing]Momentum Regime Filter BTC by
This is a usefull indicator what shows you a macro state of BTC trend.
Most of the trend indicators get lost in the ranging market or switch to bearish during simple pullbacks.
And I decided to creat it to ignore all this noise from a market and see what exactly major trend is!
-How it Works:
For find out what curent trend on BTC is, it using RSI and Normalized Momentum square.
When squre of both momentum and rsi is above zero it is an uptrend when below it is down trend.
I can say it is an momentum indicator. It works only on BTC and on all exchanges of it.
-How to read it
-BackTest (2D BTC Index, momentum length = 15, linear reg = 5) it works on any BTC exchange
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.
Dynamic Zones Polychromatic Momentum Candles [Loxx]Dynamic Zones Polychromatic Momentum Candles is a candle coloring, momentum indicator that uses Jurik Filtering and Dynamic Zones to calculate the monochromatic color between two colors.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
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
Loxx's Expanded Source Types
Relative Momentum Index- Fatih Küst alt 80-20 ayarlanmış momentum
Usage:
Add your favorite oscillator, RSI , Klinger , TSI, CMF , or anything else to a chart.
Click the little ... (More) on the oscillator.
Then add this indicator "Divergence Indicator (any oscillator)" on your oscillator of choice.
Click the settings on this indicator and make sure the source is set to the right plot from your oscillator.
Watch for it to plot divergences...
Add this indicator a second time on the price chart (and select the same oscillator plot), but check the box "plot on price (rather than on indicator)""
See you divergence plotted on price (as well as on the oscillator)
GD MomentumGD Momentum plots short, medium, and long term momentum indicators. The indicators are inspired by momentum structural analysis techniques, and are the % above or below different moving averages. The short term plot is the % above or below the 30 unit moving average, medium is 200 units, and long is 1000 units.
Draw trend lines and horizontal lines to identify the momentum structure and detect trend changes before they show up in price action.
Ultimate Momentum Indicator [CC]This is a custom indicator of mine loosely based on the work by Steve J Godwin & Louisa C Schneider (Stocks and Commodities Feb 2021 pg 22) and this works pretty well at anticipating future price swings as the momentum falls. The idea I was going for was to introduce the idea of reversals in combination with a momentum indicator so you can better identify peaks and valleys. I have included strong buy and signals in addition to normal ones so darker colors are the strong buy and sell signals and lighter colors are the normal ones. I would recommend to buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators you would like me to publish!
Dynamic Momentum Oscillator (DYNAMO) by M.YALCINIn July 1996 Futures magazine, E. Marshall Wall introduces the Dynamic Momentum Oscillator (Dynamo). Please refer to this article for interpretation.
The Dynamo oscillator is a normalizing function that adjusts the values of a standard oscillator for trendiness by taking the difference between the value of the oscillator and a moving average of the oscillator and then subtracting that value from the oscillator midpoint.
Dynamo Oscillator is calculated according to:
Dynamo = Mc - ( MAo - O )
where:
Mc = the midpoint of the oscillator
MAo = a moving average of the oscillator
O = the oscillator
Usage:
This concept can be applied to most oscillators to improve their results.
This example applies it to an RSI oscillator in MetaStock:
50-(Mov(RSI(14),21,S)-RSI(14))
where:
Mc = RSI's midpoint = 50
MAo = Moving average of the RSI = Mov(RSI(14),21,S
O= RSI Oscillator = RSI(14)
Also with this indicator, you can adjust the moving average type and RSI calculation types dynamically.
Super Momentum OscillatorA new momentum oscillator. I uploaded this previously but it got deleted I believe because apparently my chart was too cluttered.
Hopefully this is good enough... made some updates as well since then.
What you have is six (!) momentum oscillators that can be weighed together however you please. They are centered on 0 with a fill so its also easy to overlay them (as shown).
Since momentum oscillators vary heavily chart to chart, in terms of resolution, I added that as an option so you can keep the hlines as they are.
Can be useful for spotting higher time frame moves on lower time frames without any of the repaint or needing 6 chart screens. Also a solid improvement over the indicators where people just throw a dozen different length plots together and you have no idea where to look in the end. IMO, at least.
Mix and match high and low lengths however you please.
Also it looks wicked with rasta colors. SMOke (super momentum oscillator kills everything)... your way into financial freedom, mon!
Up/Down Range Momentum MTFSo using the script of
and adding non repainting MTF function to it we create this momentum model
You can enter either at cross of blue line or at cross of 0 and vice versa at red line.
since it has MTF function you can look it on different time frames just set int 2 to the TF of your desire
[RESEARCH] MomentumHello traders and developers!
I compared different techniques to get momentum of the series.
The 4 samples are:
1) Raw difference between price and price some bars ago
2) Built-in "change" function
3) Built-in "mom" function
4) Jedi's momentum - difference between current and previous SMA multiplied by it's period
All results are identical.
So, we have two built-in functions that do the same thing: "change" and "mom". For brevity it is better to use "mom" when you need to get momentum of the series.
Good luck!
Ehlers Smoothed Adaptive MomentumEhlers Smoothed Adaptive Momentum script.
This indicator was developed and described by John F. Ehlers in his book "Cybernetic Analysis for Stocks and Futures" (2004, Chapter 12: Adapting to the Trend).
Dynamic Momentum Index (DMI) Strategy This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum
Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator
is covered in detail in their book The New Technical Trader.
The DMI is identical to Welles Wilder`s Relative Strength Index except the
number of periods is variable rather than fixed. The variability of the time
periods used in the DMI is controlled by the recent volatility of prices.
The more volatile the prices, the more sensitive the DMI is to price changes.
In other words, the DMI will use more time periods during quiet markets, and
less during active markets. The maximum time periods the DMI can reach is 30
and the minimum is 3. This calculation method is similar to the Variable
Moving Average, also developed by Tushar Chande.
The advantage of using a variable length time period when calculating the RSI
is that it overcomes the negative effects of smoothing, which often obscure short-term moves.
The volatility index used in controlling the time periods in the DMI is based
on a calculation using a five period standard deviation and a ten period average
of the standard deviation.
WARNING:
- This script to change bars colors.
Relative Momentum IndexRelative Momentum Index indicator script. This indicator was originally developed by Roger Altman (Stocks & Commodities V. 11:2 (57-60)).
RMI with momentum period of 1 will be equal to an RSI when they have the same period and source price.
Stochastic Momentum IndexStochastic Momentum Index indicator script. This indicator was originally developed by William Blau (Stocks & Commodities V. 11:1 (11-18)).
Intraday Momentum IndexIntraday Momentum Index indicator script. This indicator was originally developed by Tushar Chande.
Up/Down Range MomentumThe Up/Down Range breaks the price range into an upward and a downward moving component, so we can easily turn it into a momentum oscillator. This script does just that.
You can find the Up/Down Range (UDR) indicator here:
Momentum DivergenzeMomentum indicator compared with price movement. The price's highest and lowest are market on Momentum with cross so you can easly see if they are going on the same direction. A thick red or green line on Mom indicate when divergence start. The Moment's peak out of Boilinger bands are showed by orange and green circles . Background bands when there is a top or bottom price with the Momentum not following the price.
Stochastic Momentum IndexThis is an implementation of the Stochastic Momentum Index from William Blau's his article in Stocks & Commodities .
This also allows the use of various different kinds of moving averages for the signal line. Options for this argument are:
sma (simple moving average)
ema (exponential moving average)
wma (weighted moving average)
trima (triangular moving average)
zlema (zero-lag exponential moving average)
dema (double exponential moving average)
tema (triple exponential moving average)
hma (hull moving average)
Unemployment Momentum ModelThis model uses a Smoothed RSI to measure the momentum of the Civilian Unemployment Rate as published by FRED. The behavior of the unemployment rate makes it ideal for applying momentum-based timing techniques because it tends to rise sharply in a short time period and then declines gradually over a longer period. Using other basic momentum-based timing techniques also works well (e.g., EMA crossover, MACD, ROC, etc.)
Please note that you cannot trade the unemployment rate directly. This model is meant to help you understand the state of the current economy in the context of unemployment.
Stochastic Momentum Index (SMI)Stochastic Momentum Index (SMI) or Stoch MTM is used to find oversold and overbought zones. It also helps to figureout whether to enter short trade or long trade.
Red Shade in the Top indicates that the stock is oversold and the Green shade in the bottom indicates overbought.
Strategy:
Enter Long once the Overbought Zone ended and there's a crossover below -35.
Exit Long once the oversold zone is ended and there's a crossover.
Enter Short once the oversold zone is ended and there's a crossover above 35.
Exit Short once the Overbought Zone ended and there's a crossover.
Backup: Always use with another indicator because there will be multiple up and down movement in one Trend.
Stochastic Momentum Index _ UCSgearsThe Stochastic Momentum Index (SMI) was introduced by William Blau in 1993 as a way to clarify the traditional stochastic oscillator. SMI helps you see where the current close has taken place relative to the midpoint of the recent high to low range is based on price change in relation to the range of the price. This is a range based indicator, when used right. It can help momentum changes.
For those looking for help understanding this -
wiki.timetotrade.eu
www.tradingstrategyideas.com
tlc.thinkorswim.com
www.sierrachart.com
Relative Momentum Index The Relative Momentum Index (RMI) was developed by Roger Altman. Impressed
with the Relative Strength Index's sensitivity to the number of look-back
periods, yet frustrated with it's inconsistent oscillation between defined
overbought and oversold levels, Mr. Altman added a momentum component to the RSI.
As mentioned, the RMI is a variation of the RSI indicator. Instead of counting
up and down days from close to close as the RSI does, the RMI counts up and down
days from the close relative to the close x-days ago where x is not necessarily
1 as required by the RSI). So as the name of the indicator reflects, "momentum" is
substituted for "strength".
