$0 Monthly Weekly & Daily OHLC Viewer
Visualizer of current or previous month(s), week(s) & days ranges
Purpose: View last Monthly, Weekly, Daily, and/or a custom time interval OHLC, i.e. previously closed/confirmed or the ongoing higher time interval ranges
Main configurations available:
- 2 main reporting modes: View the current/ongoing M/W/D candles' OHLC (live, repaints) or report OHLC of last closed ones, i.e. previous Montly, Weekly and/or Daily
- View only latest Monthly, Weekly and/or Daily OHLC (lines) or all past ones (~channel)
- Set your own time interval for its price range(s) to be reported, e.g. last quarter '3M', 12H '720', or hide it
- View one specific day of the week OHLC reported all over the week
Graphic/visual configuration:
- Show the High & Low levels or not
- Show the Open & close levels or not
- Display a background color between top & down or lines only
- Change the background color depending if is/was rising or falling price
- Highlight the top & down breaches of higher timeframe resolution candles: Daily breaching last Weekly range, and/or the Weekly the Monthly one
- Colors & styling can be edited from the indicator's styling configuration panel
Depending on its expected usage, those configurations enable to:
- Consider previously closed candles OLHC as reference top & down ranges (support & resistance, breaches)
- Review chart's current candles evolution within their higher time interval / candle (M/W/D)
- Consider specific week days' range as a reference for the week trend
- Have a general overview of the market evolution trends
Default config is to view current candles evolving within their higher time interval / candle, while reporting last previously closed M+W is a preferred usage. Play with the config settings to find your setup.
View ongoing M+W+D OHLC with dynamic background color:
View previously closed M+W+D OHLC:
View closed H&L for M+W+D, latest only:
View Mondays' OHLC:
Feedback & support welcome.
ابحث في النصوص البرمجية عن "one一季度财报"
FALSE BREAKOUT NO PROBLEM !! CHK TWIN MOV AVG SEGREGATED RIBBON PROBLEM DEFINITION 1 : To Avoid False Breakouts
PROBLEM DEFINITION 2 : To Ascertain if the trend has changed when a Stock opens with a Gap up or Gap Down
## PROBABLE SOLUTION : Use a Moving Average with lot of latency
## PROBLEM WITH ABOVE SOLUTION : Misses on lot of trades, Late exits leads to drain on winning trades
S O L U T I O N
An Indicator which plots two different types of Moving Averages at the same time
For the MA length 5-100 a fast plot of choice
For the MA Length 110-200 a plot with a lag to ascertain the trend
And then ONE LAST MAN STANDING with even bigger MA length for a lagging indicator to save the day
This indicator gives one 9X9 = 81 Permutation Combinations to look at the markets
One can devise strategies basis if one particular MA Type has crossed another MA Type
Feel free to post the strategies you have come out with!
//// CREDITS AND ACKNOWLEDGEMENTS //////////////////////////////////////////////////////////////////
Following contributors helped the author ::
Credits to Neobutane for his Multiple Type Mov. Avg. Guppy at ......
hxxps://www.tradingview.c0m/script/UQAv1U0c-MA-Study-Different-Types-and-More-NeoButane/
Credits to Jose5770 for sharing Jurik MA code at .....
hxxps://www.tradingview.c0m/script/uqYvkHna-Trend-Direction-Force-Index/
Appreciate and Thank You for sharing your work.
//////////////////////////////////////////////////////////////////////////////////////////////////////
P.S You might notice in the code that the few plots are skipped. It is done to fasten the indicator without compromising
on the functionality
Murreys Math Lines Box OR Ratio PivotsI'm publishing my second script, though nothing extraordinary, I believe there is user group for Murry Math indies and the only "proper one" (According to my usage) I found was of RicardoSantos, here is the link :
He developed that script in 2014 and it is in need of update to Pine V4 and I'm doing the needful as its user.
All the updates from my end are listed below:
1. Updated to Pine V4
2. Automatic octave selection
3. In auto mode one can switch octave
4. This script is color coded with intention of use on dark theme, one can change the colors to use it on white background with simple few clicks as pinelines have been used
Other thing I want to add is that usage of this is not very clear to many users, so I'll do little explaining here;
Lets start with what is Octave? Octave is basically distance between square of two whole numbers, this is hard-fast method to calculate, Murry has made it far more complicated to use practically. In mathematical formula terms it could be something like this for script trading at 11890 (CMP)
Step 1: Square Root of CMP i.e Square Root of 11890 = 109.041 = Rounded to 109
Step 2: You can either take one whole number higher or lower than 109, which is 108 or 110. We will take 108
Step 3: Square of 108 = 11664 and Square of 109 = 11881
Step 4: Octave => Distance between (Lowlevel) 11664 and (Higherlevel) 11881
I've automated it so you don't need to calculate, but there is also manual entry possible if you want to calculate octaves yourself, there are different ways to calculate and some like to just take High and Low's of the day or week or month, whatever you like. When I used it I did it strictly this way, so automation is based on it. This is very subjective matter so don't ask to change the calculation of this, if I started doing that every second person would ask me to modify it to different calculation..and thats...just not possible to do.
This is output for calculation we just did above
This is octave shift option (Which basically shifts to next whole number square in above calculation)
Normal nomenclature on octaves and important color codes
+2/8: Extreme overbought = Blue Color and solid line
+1/8: OverBought
8/8: Hardest line to rise above (overbought) = White Color and solid line
7/8: Fast reverse line (weak)
6/8: Pivot reverse line = Yellow Color and solid line
5/8: Upper trading range
----------------------------------------
4/8: Major reversal line = Green Color and solid line
----------------------------------------
3/8: Lower trading range
2/8: Pivot reverse line = Blue Color and solid line
1/8: Fast reverse line (weak)
0/8: Hardest line to fall below (oversold) = White Color and solid line
-1/8: Oversold
-2/8: Extreme Oversold = Yellow Color and solid line
Other lines that I've not mentioned color codes for are minor and are usually plotted in dotted format.
Resources on complete technique to trade and importance of levels (highly recommended to read carefully before trading), if you don't know how to get this for free don't worry you can just google Murrey math and you will find it somewhere, its just that it would be in little scattered manner.
www.scribd.com
Enjoy!
Quadratic Least Squares Moving Average - Smoothing + Forecast Introduction
Technical analysis make often uses of classical statistical procedures, one of them being regression analysis, and since fitting polynomial functions that minimize the sum of squares can be achieved with the use of the mean, variance, covariance...etc, technical analyst only needed to replace the mean in all those calculations with a moving average, we then end up with a low lag filter called least squares moving average (lsma) .
The least squares moving average could be classified as a rolling linear regression, altho this sound really bad it is useful to understand the relationship of both methods, both have the same form, that is ax + b , where a and b are coefficients of the model. However in a simple linear regression a and b are constant, while the lsma use variables instead.
In a simple lsma we model the relationship of the closing price (dependent variable) with a linear sequence (independent variable), therefore x = 1,2,3,4..etc. However we can use polynomial of higher degrees to model such relationship, this is required if we want more reactivity. Therefore we can use a quadratic form, that is ax^2 + bx + c , where a,b and c are variables.
This is the quadratic least squares moving average (qlsma), a not so official term, but we'll stick with it because it still represent the aim of the filter quite well. In this indicator i make the calculations of the qlsma less troublesome, therefore one might understand how it would work, note that in general the coefficients of a polynomial regression model are found using matrix calculus.
The Indicator
A qlsma, unlike the classic lsma, will fit better to the price and will be more reactive, this is the advantage of using an higher degrees for its calculation, we can model more complex relationship.
lsma in green, qlsma in red, with both length = 200
However the over/under shoots are greater, i'll explain why in the next sections, but this is one of the drawbacks of using higher degrees.
The indicator allow to forecast future values, the ahead period of the forecast is determined by the forecast setting. The value for this setting should be lower than length, else the forecasts can easily over/under shoot which heavily damage the forecast. In order to get a view on how well the forecast is performing you can check the option "Show past predicted values".
Of course understanding the logic behind the forecast is important, in short regressions models best fit a certain curve to the data, this curve can be a line (linear regression), a parabola (quadratic regression) and so on, the type of curve is determined by the degree of the polynomial used, here 2, which is a parabola. Lets use a linear regression model as example :
ax + b where x is a linear sequence 1,2,3...and a/b are constants. Our goal is to find the values for a and b that minimize the sum of squares of the line with the dependent variable y, here the closing price, so our hypothesis is that :
closing price = ax + b + ε
where ε is white noise, a component that the model couldn't forecast. The forecast of the closing price 14 step ahead would be equal to :
closing price 14 step aheads = a(x+14) + b
Since x is a linear sequence we only need to sum it with the forecasting horizon period, the same is done here with :
a*(n+forecast)^2 + b*(n + forecast) + c
Note that the forecast proposed in the indicator is more for teaching purpose that anything else, this indicator can't possibly forecast future values, even on a meh rate.
Low lag filters have been used to provide noise free crosses with slow moving average, a bad practice in my opinion due to the ability low lag filters have to overshoot/undershoot, more interesting use cases might be to use the qlsma as input for other indicators.
On The Code
Some of you might know that i posted a "quadratic regression" indicator long ago, the original calculations was coming from a forum, but because the calculation was ugly as hell as well as extra inefficient (dogfood level) i had to do something about it, the name was also terribly misleading.
We can see in the code that we make heavy use of the variance and covariance, both estimated with :
VAR(x) = SMA(x^2) - SMA(x)^2
COV(x,y) = SMA(xy) - SMA(x)SMA(y)
Those elements are then combined, we can easily recognize the intercept element c , who don't change much from the classical lsma.
As Digital Filter
The frequency response of the qlsma is similar to the one of the lsma, those filters amplify certain frequencies in the passband, and have ripples in the stop band. There is something interesting about those filters, first using higher degrees allow to greater boost of the frequencies in the passband, which result in greater over/under shoots. Another funny thing is that the peak/valley of the ripples is equal the peak or valley in the ripples of another lsma of different degree.
The transient response of those filters, that is impulse response, step response...etc is related to the degree of the polynomial used, therefore lets denote a lsma of degree p : lsma(p) , the impulse response of lsma(p) is a polynomial of degree p, and the step response is simple a polynomial of order p+1.
This is why it was more interesting to estimate the qlsma using convolution, however we can no longer forecast future values.
Conclusion
I proposed a more usable quadratic least squares moving average, with more options, as well as a cleaner and more efficient code. The process of shrinking the original code is made easier when you know about the estimations of both variance and covariance.
I hope the proposed indicator/calculation is useful.
Thx for reading !
[BTX] Triple TRIX + MAsThis indicator suggest a strategy, which is quite similar to multiple MA or multiple RSI strategies.
This indicator can be used for all timeframes, all markets.
This indicator can help detect the market trend and momentum.
Default values are TRIX - 6, 12, and 24 periods and MA(8) for each TRIX line. You can choose what type of MA to be used (EMA or SMA).
How to exploit this indicator?
- When all of the lower TRIXs are ABOVE the higher one: TRIX(6) is above TRIX(12), and TRIX(12) is above TRIX(24), there is a BULLISH market.
- When all of the lower TRIXs are BELOW the higher one: TRIX(6) is below TRIX(12), and TRIX(12) is below TRIX(24), there is a BEARISH market.
- A crossover of the lower TRIX to the higher one indicates a BUY signal.
- A crossunder of the lower TRIX to the higher one indicates a SELL signal.
- TRIX crossover the Zero line can be considered as a STRONG bullish signal.
- TRIX crossunder the Zero line can be considered as a STRONG bearish signal.
- The MA of TRIX acts as a confirmation, it can be used as SELL signals.
- High slopes of TRIX lines can point out the high momentum of the current trend.
- Divergence patterns can be used with this indicator.
- And many more tricks.
OVL_Kikoocycle Beta_Pine3This script use :
- A custom Chande Kroll Stop for generate the channel
- Some custom Parabolic S.A.R for generate cycles
This script can be separated into 3 categories:
- Channel Kroll generator : one layer for the actual interval and a layer for a Large Timeframe .(with ratio)
- "Range" generator : one layer for actual Interval and a layer for a Large Timeframe.(with automique ratio)
-Targets generator : one layer for actual interval with different trend.
"Channel Kroll" :
- I "hijack" the Chande Kroll Stop formula with custom parameters for generate this channel. Overall, it works like other types of channels like BB, etc... A midline and two borders. The thickness of the borders are relatively important here. A thick border shows some resistance of the area. And so the probability of seeing the market return to its first contact is stronger. While a very thin and vertical border would rather play the role of a breach, a bit like the idea of gaps. Often the market seems to want to go after several cycles.
You can activate its Large TimeFrame version, its midline is strong and fine borders helps to judge the risk.
SARget + "SAR Limited" :
- (S.A.R + targets) The philosophy of this function is simple... When a small cycle is broken, it creates a mark on a higher cycle. So on until the SAR called "SAR Limited". For simplicity, imagine a fractal image but inverted ... Break the small figure, it will mark the larger figure at this time but to get there you still have to make the way to the small figure.
Targets are : cross ("+") for fast targets(hidden by default because, theire work only on lower interval), squares (for medium trend), Xcross(for large trend) and red cross(they try to find a large contexte). When a target proc, it is for later (market need some cycles for going to, but it is relative to your interval). This gives you speculative goals.
Why 2 targets for a same type and a triangle with a 90deg angle : This give a potential area for management.The triangle help to visualize the SAR and to juge the market reaction. You need to adapte your trade with that...
Targets may be slightly too far because I am a bad coder... Currently the targets appear at the moment of rupture but it would be necessary to wait for the end of the breaking movement. Which can bring a positional error if the break is violent.
RnG and LTF RnG :
- Attempt to generate a Fibo range for each cycle and see interressing areas to enter or exit. This is played with the same philosophy as the Fibo extensions and retracement.
When a new RnG is generated, do not rush. It appears showing 50/50 for both sides. When a new RnG is generated, do not rush. It appears showing 50/50 for both sides. As long as the market is out of the middle zone (the 3 lines) keep in mind the past RnG.
When the market is out of range, you can use the FibRetracement tool for have extensions. One point at each end, as on the presentation graph. (Values 1.14, 1.272, 1.414, 1.618, 1.786, 2, 2.4 and 4 work well.) If too extrem you can active the LTF version.
Never fomo a break, market like to pull a level... Observe and be patient.
It's easier to use than to explain xD
NB : Do not use the LTF as context. For this, it is better to look at a higher interval.
I invite you to look in the style tab of the script and deselect the plots named UNCHECKEME, this will ease your browser.
10/20 MA Cross-Over with Heikin-Ashi Signals by SchobbejakThe 10/20 MA Heikin-Ashi Strategy is the best I know. It's easy, it's elegant, it's effective.
It's particularly effective in markets that trend on the daily. You may lose some money when markets are choppy, but your loss will be more than compensated when you're aboard during the big moves at the beginning of a trend or after retraces. There's that, and you nearly eliminate the risk of losing your profit in the long run.
The results are good throughout most assets, and at their best when an asset is making new all-time highs.
It uses two simple moving averages: the 10 MA (blue), and the 20 MA (red), together with heikin-ashi candles. Now here's the great thing. This script does not change your regular candles into heikin-ashi ones, which would have been annoying; instead, it subtly prints either a blue dot or a red square around your normal candles, indicating a heikin-ashi change from red to green, or from green to red, respectively. This way, you get both regular and heikin ashi "candles" on your chart.
Here's how to use it.
Go LONG in case of ALL of the below:
1) A blue dot appeared under the last daily candle (meaning the heikin-ashi is now "green").
2) The blue MA-line is above the red MA-line.
3) Price has recently breached the blue MA-line upwards, and is now above.
COVER when one or more of the above is no longer the case. This is very important. You want to keep your profit.
Go SHORT in case of ALL of the below:
1) A red square appeared above the last daily candle (meaning the heikin-ashi is now "red").
2) The red MA-line is above the blue MA-line.
3) Price has recently breached the blue MA-line downwards, and is now below.
Again, COVER when one or more of the above is no longer the case. This is what gives you your edge.
It's that easy.
Now, why did I make the signal blue, and not green? Because blue looks much better with red than green does. It's my firm believe one does not become rich using ugly charts.
Good luck trading.
--You may tip me using bitcoin: bc1q9pc95v4kxh6rdxl737jg0j02dcxu23n5z78hq9 . Much appreciated!--
ABK Multi EMA I really like to work with EMAs, but each time you use the "buit-in" one, you use one more slot in your indicators allowed.
So I built this simple one, 4 EMA in one indicator, and easy to use as following;
-displays 4 EMAs
-choose your EMA lenghts.
-choose your color and other options as needed.
5 MAs w. alerts [LucF]Is this gazillionth MA indicator worth an addition to the already crowded field of contenders? I say yes! This one shows up to 5 MAs and 6 different marker conditions that can be used to create alerts, among many other goodies.
Features
MAs can be darkened when they are falling.
MAs from another time frame can be displayed, with the option of smoothing them.
Markers can be filtered to Longs or Shorts only.
EMAs can be selected for either all or the two shortest MAs.
The background can be colored using any of the marker states except no. 3.
Markers are:
1. On crosses between any two user-defined MAs,
2. When price is above or below an MA,
3. On Quick Flips (a specific setup involving a cross, multiple MA states and increasing volume, when available),
4. When the difference between two MAs is within a % of its high/low historic values,
5. When an MA has been rising/falling for n bars,
6. When the difference between two MAs is greater than a multiple of ATR.
Some markers use similar visual cues, so distinguishing them will be a challenge if they are used concurrently.
Alerts
Alerts can be created on any combination of alerts. Only non-consecutive instances of markers 5 and 6 will trigger the alert condition. Make sure you are on the interval you want the alert to run at. Using the “Once Per Bar Close” trigger condition is usually the best option.
When an alert is created in TradingView, a snapshot of the indicator’s settings is saved with the alert, which then takes on a life of its own. That is why even though there is only one alert to choose from when you bring up the alert creation dialog box and choose “5 MAs”, that alert can be triggered from any number of conditions. You select those conditions by activating the markers you want the alert to trigger on before creating the alert. If you have selected multiple conditions, then it can be a good idea to record a reminder in the alert’s message field. When the alert triggers, you will need the indicator on the chart to figure out which one of your conditions triggered the alert, as there is currently no way to dynamically change the alert’s message field from within the script.
Background settings will not trigger alerts; only marker configurations.
Notes
MAs are just… averages. Trader lure would have them act as support and resistance levels. I’m not sure about that, and not the only one thinking along these lines. Adam Grimes has studied moving averages in quite a bit of detail. His numbers point to no evidence indicating they act as support/resistance, and to specific MA lengths not being more meaningful than others. His point of view is debated by some—not by me. Mean reversion does not entail that price stops when it reaches its MA; rather, it makes sense to me that price would often more or less oscillate around its MA, which entails the MA does not act as support/resistance. Aren’t the best mean reversion opportunities when price is furthest away from its MA? If so, it should be more profitable to identify these areas, which some of this indicator’s markers try to do.
I think MAs can be much more powerful when thought of as instruments we can use to situate price events in contexts of various resolutions, from the instantaneous to the big picture. Accordingly, I use the relative positions and slopes of MAs in both discretionary and automated trading; but never their purported ability to support/resist.
Regardless of how you use MAs, I hope you will find this indicator useful.
Biased References
The Art and Science of Technical Analysis: Market Structure, Price Action, and Trading Strategies, Adam Grimes, 2012.
Does the 200 day moving average “work”?
Moving averages: digging deeper
[CS] NWMA Moving Average 3.0PineScript Implementation of Moving Average 3.0 first referenced by Manfred G. Dürschner as New wma or Nwma.
See amazing original paper Moving Averages 3.0 at page 27:
ifta.org
As shown in the picture Nwma is performing better than DEMA, TEMA, EMA, and other common used moving averages such as Hull MA that is prone to overshooting. With NWMA lag is extremely reduced.
As already implemented in NinjaTrader C# Nwma plugin by sumana.m:
ninjatrader.com
(from the original paper)
Nyquist Criterion
In signal processing theory, the application of a MA to itself can be seen as a Sampling procedure. The sampled signal is the MA (referred to as MA1) and the sampling signal is the MA as well (referred to as MA2). If additional periodic cycles which are not included in the price series are to be avoided sampling must obey the Nyquist Criterion . With the cycle period as parameter, the usual one in Technical Analysis, the Nyquist Criterion reads as follows: n1 = λ*n2 , with λ ≥ 2. n1 is the cycle period of the sampled signal to which a sampling signal with cycle period n2 is applied. n1 must at least be twice as large as n2. In Mulloy´s and Ehlers´ approaches (referred to as Moving Averages 2.0) both cycle periods are equal. Moving Averages 3.0 Using the Nyquist Criterion there is a relation by which the application of a MA to itself can be described more precisely. In figure 2 a price series C (black line), one MA (MA1, red line) with lag L1 to the price series and another MA with lag L2 to MA1 (MA2, blue line) are illustrated. Based on the approximation and the relations described in figure 2 the following equation holds: (1) D1/D2 = (C – MA1)/(MA1 – MA2) = L1/L2 According to the lag formulas in the introduction L1/L2 can be written as follows:
α := L1/L2 = (n1 – 1)/(n2 – 1).
In this expression denominator 2 for the SMA and EMA as well as denominator 3 for the WMA are missing. α is therefore valid for all three MAs.
Using the Nyquist Criterion one gets for α the following result:
(2) α = λ* (n1 – 1)/(n1 – λ).
α put in (1) and C replaced by the approximation term NMA, the notation for the new MA, one gets:
NMA = (1 +α) MA1 – α MA2.
In detail, equation (2) reads as follows:
(3) NMA = (1 + α) MA1 – α
MA2 ,
(4) α = λ* (n1 – 1)/(n1 – λ), with λ ≥ 2.
(3) and (4) are equations for a group of MAs (notation: Moving Averages 3.0). They are independent of the choice of an MA. As the WMA shows the smallest lag (see introduction), it should generally be the first choice for the NMA. n1 = n2 results in the value 1 for α and λ, respectively. Then equation (3) passes into Ehlers´ formula. Thus Ehlers´ formula is included in the NMA formula as limiting value. It follows from a short calculation that the lag for NMA results in a theoretical value zero.
Please enjoy,
CryptoStatistical
General Filter Estimator-An Experiment on Estimating EverythingIntroduction
The last indicators i posted where about estimating the least squares moving average, the task of estimating a filter is a funny one because its always a challenge and it require to be really creative. After the last publication of the 1LC-LSMA , who estimate the lsma with 1 line of code and only 3 functions i felt like i could maybe make something more flexible and less complex with the ability to approximate any filter output. Its possible, but the methods to do so are not something that pinescript can do, we have to use another base for our estimation using coefficients, so i inspired myself from the alpha-beta filter and i started writing the code.
Calculation and The Estimation Coefficients
Simplicity is the key word, its also my signature style, if i want something good it should be simple enough, so my code look like that :
p = length/beta
a = close - nz(b ,close)
b = nz(b ,close) + a/p*gamma
3 line, 2 function, its a good start, we could put everything in one line of code but its easier to see it this way. length control the smoothing amount of the filter, for any filter f(Period) Period should be equal to length and f(Period) = p , it would be inconvenient to have to use a different length period than the one used in the filter we want to estimate (imagine our estimation with length = 50 estimating an ema with period = 100) , this is where the first coefficients beta will be useful, it will allow us to leave length as it is. In general beta will be greater than 1, the greater it will be the less lag the filter will have, this coefficient will be useful to estimate low lagging filters, gamma however is the coefficient who will estimate lagging filters, in general it will range around .
We can get loose easily with those coefficients estimation but i will leave a coefficients table in the code for estimating popular filters, and some comparison below.
Estimating a Simple Moving Average
Of course, the boxcar filter, the running mean, the simple moving average, its an easy filter to use and calculate.
For an SMA use the following coefficients :
beta = 2
gamma = 0.5
Our filter is in red and the moving average in white with both length at 50 (This goes for every comparison we will do)
Its a bit imprecise but its a simple moving average, not the most interesting thing to estimate.
Estimating an Exponential Moving Average
The ema is a great filter because its length times more computing efficient than a simple moving average. For the EMA use the following coefficients :
beta = 3
gamma = 0.4
N.B : The EMA is rougher than the SMA, so it filter less, this is why its faster and closer to the price
Estimating The Hull Moving Average
Its a good filter for technical analysis with tons of use, lets try to estimate it ! For the HMA use the following coefficients :
beta = 4
gamma = 0.85
Looks ok, of course if you find better coefficients i will test them and actualize the coefficient table, i will also put a thank message.
Estimating a LSMA
Of course i was gonna estimate it, but this time this estimation does not have anything a lsma have, no moving average, no standard deviation, no correlation coefficient, lets do it.
For the LSMA use the following coefficients :
beta = 3.5
gamma = 0.9
Its far from being the best estimation, but its more efficient than any other i previously made.
Estimating the Quadratic Least Square Moving Average
I doubted about this one but it can be approximated as well. For the QLSMA use the following coefficients :
beta = 5.25
gamma = 1
Another ok estimate, the estimate filter a bit more than needed but its ok.
Jurik Moving Average
Its far from being a filter that i like and its a bit old. For the comparison i will use the JMA provided by @everget described in this article : c.mql5.com
For the JMA use the following coefficients :
for phase = 0
beta = pow*2 (pow is a parameter in the Jma)
gamma = 0.5
Here length = 50, phase = 0, pow = 5 so beta = 10
Looks pretty good considering the fact that the Jma use an adaptive architecture.
Discussion
I let you the task to judge if the estimation is good or not, my motivation was to estimate such filters using the less amount of calculations as possible, in itself i think that the code is quite elegant like all the codes of IIR filters (IIR Filters = Infinite Impulse Response : Filters using recursion) .
It could be possible to have a better estimate of the coefficients using optimization methods like the gradient descent. This is not feasible in pinescript but i could think about it using python or R.
Coefficients should be dependant of length but this would lead to a massive work, the variation of the estimation using fixed coefficients when using different length periods is just ok if we can allow some errors of precision.
I dont think it should be possible to estimate adaptive filter relying a lot on their adaptive parameter/smoothing constant except by making our coefficients adaptive (gamma could be)
So at the end ? What make a filter truly unique ? From my point of sight the architecture of a filter and the problem he is trying to solve is what make him unique rather than its output result. If you become a signal, hide yourself into noise, then look at the filters trying to find you, what a challenging game, this is why we need filters.
Conclusion
I wanted to give a simple filter estimator relying on two coefficients in order to estimate both lagging and low-lagging filters. I will try to give more precise estimate and update the indicator with new coefficients.
Thanks for reading !
BTC Volume Lines [v2018-11-17] @ LekkerCryptisch.nlCombine the volume of 8 BTCUSD exchanges in one graph.
Three use cases:
1) See the absolute volumes in one graph
2) See the relative volumes in one graph
3) See the deviation of the EMA the volumes in one graph
Tillson T3 Moving Average MTFMULTIPLE TIME FRAME version of Tillson T3 Moving Average Indicator
Developed by Tim Tillson, the T3 Moving Average is considered superior -1.60% to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well. However, it bears the disadvantage of overshooting the price as it attempts to realign itself to current market conditions.
It incorporates a smoothing technique which allows it to plot curves more gradual than ordinary moving averages and with a smaller lag. Its smoothness is derived from the fact that it is a weighted sum of a single EMA , double EMA , triple EMA and so on. When a trend is formed, the price action will stay above or below the trend during most of its progression and will hardly be touched by any swings. Thus, a confirmed penetration of the T3 MA and the lack of a following reversal often indicates the end of a trend.
The T3 Moving Average generally produces entry signals similar to other moving averages and thus is traded largely in the same manner. Here are several assumptions:
If the price action is above the T3 Moving Average and the indicator is headed upward, then we have a bullish trend and should only enter long trades (advisable for novice/intermediate traders). If the price is below the T3 Moving Average and it is edging lower, then we have a bearish trend and should limit entries to short. Below you can see it visualized in a trading platform.
Although the T3 MA is considered as one of the best swing following indicators that can be used on all time frames and in any market, it is still not advisable for novice/intermediate traders to increase their risk level and enter the market during trading ranges (especially tight ones). Thus, for the purposes of this article we will limit our entry signals only to such in trending conditions.
Once the market is displaying trending behavior, we can place with-trend entry orders as soon as the price pulls back to the moving average (undershooting or overshooting it will also work). As we know, moving averages are strong resistance/support levels, thus the price is more likely to rebound from them and resume its with-trend direction instead of penetrating it and reversing the trend.
And so, in a bull trend, if the market pulls back to the moving average, we can fairly safely assume that it will bounce off the T3 MA and resume upward momentum, thus we can go long. The same logic is in force during a bearish trend .
And last but not least, the T3 Moving Average can be used to generate entry signals upon crossing with another T3 MA with a longer trackback period (just like any other moving average crossover). When the fast T3 crosses the slower one from below and edges higher, this is called a Golden Cross and produces a bullish entry signal. When the faster T3 crosses the slower one from above and declines further, the scenario is called a Death Cross and signifies bearish conditions.
I Personally added a second T3 line with a volume factor of 0.618 (Fibonacci Ratio) and length of 3 (fibonacci number) which can be added by selecting the box in the input section. traders can combine the two lines to have Buy/Sell signals from the crosses.
Developed by Tim Tillson
Inverse Fisher Transform on STOCHASTIC (modified graphics)Modified the graphic representation of the script from John Ehlers - From California, USA, he is a veteran trader. With 35 years trading experience he has seen it all. John has an engineering background that led to his technical approach to trading ignoring fundamental analysis (with one important exception). John strongly believes in cycles. He’d rather exit a trade when the cycle ends or a new one starts. He uses the MESA principle to make predictions about cycles in the market and trades one hundred percent automatically.
In the show John reveals:
• What is more appropriate than trading individual stocks
• The one thing he relies upon in his approach to the market
• The detail surrounding his unique trading style
• What important thing underpins the market and gives every trader an edge
About INVERSE FISHER TRANSFORM:
The purpose of technical indicators is to help with your timing decisions to buy or sell. Hopefully, the signals are clear and unequivocal. However, more often than not your decision to pull the trigger is accompanied by crossing your fingers. Even if you have placed only a few trades you know the drill. In this article I will show you a way to make your oscillator-type indicators make clear black-or-white indication of the time to buy or sell. I will do this by using the Inverse Fisher Transform to alter the Probability Distribution Function (PDF) of your indicators. In the past12 I have noted that the PDF of price and indicators do not have a Gaussian, or Normal, probability distribution. A Gaussian PDF is the familiar bell-shaped curve where the long “tails” mean that wide deviations from the mean occur with relatively low probability. The Fisher Transform can be applied to almost any normalized data set to make the resulting PDF nearly Gaussian, with the result that the turning points are sharply peaked and easy to identify. The Fisher Transform is defined by the equation
1)
Whereas the Fisher Transform is expansive, the Inverse Fisher Transform is compressive. The Inverse Fisher Transform is found by solving equation 1 for x in terms of y. The Inverse Fisher Transform is:
2)
The transfer response of the Inverse Fisher Transform is shown in Figure 1. If the input falls between –0.5 and +0.5, the output is nearly the same as the input. For larger absolute values (say, larger than 2), the output is compressed to be no larger than unity. The result of using the Inverse Fisher Transform is that the output has a very high probability of being either +1 or –1. This bipolar probability distribution makes the Inverse Fisher Transform ideal for generating an indicator that provides clear buy and sell signals.
Tillson T3 Moving Average by KIVANÇ fr3762Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well. However, it bears the disadvantage of overshooting the price as it attempts to realign itself to current market conditions.
It incorporates a smoothing technique which allows it to plot curves more gradual than ordinary moving averages and with a smaller lag. Its smoothness is derived from the fact that it is a weighted sum of a single EMA , double EMA , triple EMA and so on. When a trend is formed, the price action will stay above or below the trend during most of its progression and will hardly be touched by any swings. Thus, a confirmed penetration of the T3 MA and the lack of a following reversal often indicates the end of a trend.
The T3 Moving Average generally produces entry signals similar to other moving averages and thus is traded largely in the same manner. Here are several assumptions:
If the price action is above the T3 Moving Average and the indicator is headed upward, then we have a bullish trend and should only enter long trades (advisable for novice/intermediate traders). If the price is below the T3 Moving Average and it is edging lower, then we have a bearish trend and should limit entries to short. Below you can see it visualized in a trading platform.
Although the T3 MA is considered as one of the best swing following indicators that can be used on all time frames and in any market, it is still not advisable for novice/intermediate traders to increase their risk level and enter the market during trading ranges (especially tight ones). Thus, for the purposes of this article we will limit our entry signals only to such in trending conditions.
Once the market is displaying trending behavior, we can place with-trend entry orders as soon as the price pulls back to the moving average (undershooting or overshooting it will also work). As we know, moving averages are strong resistance/support levels, thus the price is more likely to rebound from them and resume its with-trend direction instead of penetrating it and reversing the trend.
And so, in a bull trend, if the market pulls back to the moving average, we can fairly safely assume that it will bounce off the T3 MA and resume upward momentum, thus we can go long. The same logic is in force during a bearish trend .
And last but not least, the T3 Moving Average can be used to generate entry signals upon crossing with another T3 MA with a longer trackback period (just like any other moving average crossover). When the fast T3 crosses the slower one from below and edges higher, this is called a Golden Cross and produces a bullish entry signal. When the faster T3 crosses the slower one from above and declines further, the scenario is called a Death Cross and signifies bearish conditions.
I Personally added a second T3 line with a volume factor of 0.618 (Fibonacci Ratio) and length of 3 (fibonacci number) which can be added by selecting the box in the input section. traders can combine the two lines to have Buy/Sell signals from the crosses.
Developed by Tim Tillson
Inverse Fisher Transform COMBO STO+RSI+CCIv2 by KIVANÇ fr3762A combined 3in1 version of pre shared INVERSE FISHER TRANSFORM indicators on RSI , on STOCHASTIC and on CCIv2 to provide space for 2 more indicators for users...
About John EHLERS:
From California, USA, John is a veteran trader. With 35 years trading experience he has seen it all. John has an engineering background that led to his technical approach to trading ignoring fundamental analysis (with one important exception).
John strongly believes in cycles. He’d rather exit a trade when the cycle ends or a new one starts. He uses the MESA principle to make predictions about cycles in the market and trades one hundred percent automatically.
In the show John reveals:
• What is more appropriate than trading individual stocks
• The one thing he relies upon in his approach to the market
• The detail surrounding his unique trading style
• What important thing underpins the market and gives every trader an edge
About INVERSE FISHER TRANSFORM:
The purpose of technical indicators is to help with your timing decisions to buy or
sell. Hopefully, the signals are clear and unequivocal. However, more often than
not your decision to pull the trigger is accompanied by crossing your fingers.
Even if you have placed only a few trades you know the drill.
In this article I will show you a way to make your oscillator-type indicators make
clear black-or-white indication of the time to buy or sell. I will do this by using the
Inverse Fisher Transform to alter the Probability Distribution Function ( PDF ) of
your indicators. In the past12 I have noted that the PDF of price and indicators do
not have a Gaussian, or Normal, probability distribution. A Gaussian PDF is the
familiar bell-shaped curve where the long “tails” mean that wide deviations from
the mean occur with relatively low probability. The Fisher Transform can be
applied to almost any normalized data set to make the resulting PDF nearly
Gaussian, with the result that the turning points are sharply peaked and easy to
identify. The Fisher Transform is defined by the equation
1)
Whereas the Fisher Transform is expansive, the Inverse Fisher Transform is
compressive. The Inverse Fisher Transform is found by solving equation 1 for x
in terms of y. The Inverse Fisher Transform is:
2)
The transfer response of the Inverse Fisher Transform is shown in Figure 1. If
the input falls between –0.5 and +0.5, the output is nearly the same as the input.
For larger absolute values (say, larger than 2), the output is compressed to be no
larger than unity . The result of using the Inverse Fisher Transform is that the
output has a very high probability of being either +1 or –1. This bipolar
probability distribution makes the Inverse Fisher Transform ideal for generating
an indicator that provides clear buy and sell signals.
Creator: John EHLERS
Inverse Fisher Transform on SMI (Stochastic Momentum Index)Inverse Fisher Transform on SMI (Stochastic Momentum Index)
About John EHLERS:
From California, USA, John is a veteran trader. With 35 years trading experience he has seen it all. John has an engineering background that led to his technical approach to trading ignoring fundamental analysis (with one important exception).
John strongly believes in cycles. He’d rather exit a trade when the cycle ends or a new one starts. He uses the MESA principle to make predictions about cycles in the market and trades one hundred percent automatically.
In the show John reveals:
• What is more appropriate than trading individual stocks
• The one thing he relies upon in his approach to the market
• The detail surrounding his unique trading style
• What important thing underpins the market and gives every trader an edge
About INVERSE FISHER TRANSFORM:
The purpose of technical indicators is to help with your timing decisions to buy or
sell. Hopefully, the signals are clear and unequivocal. However, more often than
not your decision to pull the trigger is accompanied by crossing your fingers.
Even if you have placed only a few trades you know the drill.
In this article I will show you a way to make your oscillator-type indicators make
clear black-or-white indication of the time to buy or sell. I will do this by using the
Inverse Fisher Transform to alter the Probability Distribution Function (PDF) of
your indicators. In the past12 I have noted that the PDF of price and indicators do
not have a Gaussian, or Normal, probability distribution. A Gaussian PDF is the
familiar bell-shaped curve where the long “tails” mean that wide deviations from
the mean occur with relatively low probability. The Fisher Transform can be
applied to almost any normalized data set to make the resulting PDF nearly
Gaussian, with the result that the turning points are sharply peaked and easy to
identify. The Fisher Transform is defined by the equation
1)
Whereas the Fisher Transform is expansive, the Inverse Fisher Transform is
compressive. The Inverse Fisher Transform is found by solving equation 1 for x
in terms of y. The Inverse Fisher Transform is:
2)
The transfer response of the Inverse Fisher Transform is shown in Figure 1. If
the input falls between –0.5 and +0.5, the output is nearly the same as the input.
For larger absolute values (say, larger than 2), the output is compressed to be no
larger than unity. The result of using the Inverse Fisher Transform is that the
output has a very high probability of being either +1 or –1. This bipolar
probability distribution makes the Inverse Fisher Transform ideal for generating
an indicator that provides clear buy and sell signals.
Big Snapper Alerts R2.0 by JustUncleLThis is a diversified Binary Option or Scalping Alert indicator originally designed for lower Time Frame Trend or Swing trading. Although you will find it a useful tool for higher time frames as well.
The Alerts are generated by the changing direction of the ColouredMA (HullMA by default), you then have the choice of selecting the Directional filtering on these signals or a Bollinger swing reversal filter.
The filters include:
Type 1 - The three MAs (EMAs 21,55,89 by default) in various combinations or by themselves. When only one directional MA selected then direction filter is given by ColouredMA above(up)/below(down) selected MA. If more than one MA selected the direction is given by MAs being in correct order for trend direction.
Type 2 - The SuperTrend direction is used to filter ColouredMA signals.
Type 3 - Bollinger Band Outside In is used to filter ColouredMA for swing reversals.
Type 4 - No directional filtering, all signals from the ColouredMA are shown.
Notes:
Each Type can be combined with another type to form more complex filtration.
Alerts can also be disabled completely if you just want one indicator with one colouredMA and/or 3xMAs and/or Bollinger Bands and/or SuperTrend painted on the chart.
Warning:
Be aware that combining Bollinger OutsideIn swing filter and a directional filter can be counter productive as they are opposites. So careful consideration is needed when combining Bollinger OutsideIn with any of the directional filters.
Hints:
For Binary Options try ColouredMA = HullMA(13) or HullMA(8) with Type 2 or 3 Filter.
When using Trend filters SuperTrend and/or 3xMA Trend, you will find if price reverses and breaks back through the Big Fat Signal line, then this can be a good reversal trade.
Some explanation about the what Hull Moving average and ideas of how the generated in Big Snapper can be used:
tradingsim.com
forextradingstrategies4u.com
Inspiration from @vdubus
Big Snapper's Bollinger OutsideIn Swing filter in Action:
2-step Moving Average by HAH Financial- longer SMAs tend to sit too far from daily action
- shorter SMAs are too jittery
- the idea here is to create a smooth line, that is sits much closer to the daily price ranges
- this is achieved by mixing 2 MAs, a longer one and a shorter one
- the long one gives smoothness
- while averaging it with a shorter one, brings it (much in some cases) closer to the daily range
Price Action Doji Harami v0.2 by JustUncleLThis is an updated and final version of this indicator. This version distinguishes between the true Harami and the other Doji candlestick patterns as used with the Heikin Ashi candle charts. These candle patterns indicate a potential trend reversal or pullback.
The patterns identified are:
- Bearish Harami (Red Highlight above Bar):
One to three (default 3) large body Bull (green) candles followed by a small (red)
or no body candle (less than 0.5pip) with wicks top and bottom that are at least 60% of candle.
- Bullish Harami (Green Highlight below Bar):
One to three (default 3) large body Bear (red) candles followed by a small (green)
or no body candle (less than 0.5pip) with wicks top and bottom that are at least 60% of candle.
- Bearish Doji (Fuchsia Highlight above Bar):
One to three (default 3) large body Bull (green) candles followed by a small (green)
with wicks top and bottom that are at least 60% of candle.
- Bullish Doji (Aqua Highlight below Bar):
One to three (default 3) large body Bear (red) candles followed by a small (red)
with wicks top and bottom that are at least 60% of candle.
You can optionally specify how large the candles prior to Harami/Doji are in pips, default is 0 pip.
If you set this to zero then it will have no candle size consideration. You can also specify how many look back candles (1-3) are used in Harami/Doji calculations (default 3).
Included option to perform Calculations purely on Heikin Ashi candles, this helps when you want to see the HA Doji/Harami bars with the normal candle stick chart.
Also can optionally set an alert condition for when Harami/Doji found, this also displays a circle on the bottom of the screen when alert is triggered.
extended session - Regular Opening-Range- JayyOpening Range and some other scripts updated to plot correctly (see comments below.) There are three variations of the fibonacci expansion beyond the opening range and retracements within the opening range of the US Market session - I have not put in the script for the other markets yet.
The three scripts have different uses and strengths:
The extended session script (with the script here below) will plot the opening range whether you are using the extended session or the regular session. (that is to say whether "ext" in the lower right hand corner is highlighted or not.). While in the extended session the opening range has some plotting issues with periods like 13 minutes or any period that is not divisible into 330 mins with a round number outcome (eg 330/60 =5.5. Therefore an hour long opening range has problems in the extended session.
The pre session script is only for the premarket. You can select any opening range period you like. I have set the opening range to be the full premarket session. If you select a different session you will have to unselect "pre open to 9:30 EST for Opening Range?" in the format section. The script defaults to 15 minutes in the "period Of Pre Opening Range?". To go back to the 4 am to 9:30 pre opening range select "pre open to 9:30 EST for Opening Range?" there is no automatic 330 minute selection.
The past days offset script only works in 5 min or 15 minute period. It will show the opening range from up to 20 days past over the current days price action. Use this for the regular session only. 0 shows the current day's opening range. Use the positive integers for number of days back ie 1, 2, 3 etc not -1, -2, -3 etc. The script is preprogrammed to use the current day (0).
Scripts updated to plot correctly: One thing they all have in common is a way of they deal with a somewhat random problem that shifts the plots 4 hours in one direction or the other ie the plot started at 9:30 EST or 1:30PM EST. This issue started to occur approximately June 22, 2015 and impacts any script that tried to use "session" times to manage a plot in my scripts. The issue now seems to have been resolved during this past week.
Just in case the problem reoccurs I have added a "Switch session plot?" to each script. If the plot looks funny check or uncheck the "Switch session plot?" and see the difference. Of course if a new issue crops up it will likely require a different fix.
I have updated all of the scripts shown on this chart. If you are using a script of mine that suffers from the compiler issue then you will find an update on this chart. You can get any and all of the scripts by clicking on the small sideways wishbone on the left middle of the chart. You will see a dialogue box. Then click "make it mine". This will import all of the scripts to your computer and you can play around with them all to decide what you want and what you don't want. This is the easiest way to get all of the scripts in one fell swoop. It is also the easiest way for me to make all of the scripts available. I do not have all of the plots visible since it is too messy and one of the scripts (pre OR) is only for the regular session. To view the scripts click on the blue eye to the right of the script title to show it on this script. If you can only use the regular session. The scripts will all (with the exception of the pre OR) work fine.
If for any reason this script seems flakey refresh the page r try a slightly different period. I have noticed that sometimes randomly the script loves to return to the 5 min OR. This is a very new issue transient issue. As always if you see an issue please let me know.
Cheers Jayy
Camarilla - formula updated for 5 and 6 levelsSince levels 5 and 6 formulas are kind of surrounded in mystery it's difficult to find a widely agreed one.
While for the level 5 there is some consensus the 6th one is hard to find. I updated level 5 with the most common use of lvl 5 formula , some links like this one or from books (Secrets of a Pivot Boss) . Level 6 is a tough one, so please use this one experimentally . If you have other formulas for level 6, let me know. The 5 and 6 lvls are useful in volatile days.
forums.babypips.com
US Sessions - New Age 🚀 US SESSIONS - NEW AGE
Finally. A session indicator that doesn't look like it was made in 2005.
Welcome to the New Age. 🔮
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🎯 WHAT IT DOES
Visualizes US market sessions with NEON style backgrounds:
🌙 Premarket (04:00-09:30 NY) — Bright Green
🔔 US Open (09:30-11:30 NY) — Cyan
🍔 Lunch Break (11:30-13:30 NY) — Silver
📈 Afternoon (13:30-15:30 NY) — Red
🌃 After Hours (15:30-20:00 NY) — Orange
All times are automatically synced to New York timezone (EST/EDT).
No more manual calculations. No more confusion. Just works.™
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⭐ BONUS: ORB BOX (Opening Range Breakout)
This is the secret weapon. 🔥
The indicator automatically draws a NEON GLOWING box around the first 15 minutes of trading (9:30-9:45 NY). This is the Opening Range — one of the most powerful concepts in day trading.
📦 HOW THE ORB BOX WORKS:
- Box shows the HIGH and LOW of the first 15-minute candle
- Box extends from 9:45 until 15:30 (end of regular session)
- 🔵 CYAN GLOW = Price is ABOVE the ORB → Bullish bias
- 🔴 RED GLOW = Price is BELOW the ORB → Bearish bias
The color changes LIVE as price moves. Instant visual feedback!
Why does this matter?
→ 70%+ of the time, price will break and HOLD one side of the ORB
→ The direction of the first breakout often defines the trend for the day
→ Use it as dynamic support/resistance
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⚙️ SETTINGS
🕐 SESSION TIMES
→ Toggle each session ON/OFF with one click
→ All sessions enabled by default
📦 ORB BOX
→ Show/Hide the Opening Range Box
→ Enable/Disable the Neon Glow effect
→ Hover over settings for detailed info
🏷️ LABELS
→ Size: tiny, small, normal, large, huge
→ Height: Distance above candles (ATR based)
→ Transparency: 0% (solid) → 80% (subtle)
📊 DASHBOARD
→ Live NY time display
→ Shows active session
→ Market status indicator
→ Moveable to any corner
🎨 NEON COLORS
→ Fully customizable
→ Default: Cyan/Red theme
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🔔 ALERTS
- 🌙 Premarket Start
- 🔔 US Market Open
- 🌃 After Hours Start
Never miss a session change again.
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💡 PRO TIPS
1. Use ORB breakouts as entry signals
2. Avoid trading during Lunch (low volume = choppy)
3. Best moves happen at US Open and Afternoon
4. Premarket shows overnight sentiment
5. Combine with your favorite strategy
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Because good trading deserves good design. ✨
Made with 🔥 by R4D1
Part of the NEW AGE indicator collection.
