Sequentially Filtered Moving AverageThe previously proposed sequential filter aimed to filter variations lower than a certain period, this allowed to remove noisy variations and retain only the closing price values that occurred after a consecutive up/down, however because of the noisy nature of the closing price large filtering was impossible, in order to tackle to this problem the same indicator using a simple moving average as input is proposed, this allow for smoother results.
We will see that the proposed indicator can provide an alternative moving average that could be used as slow moving average in crossover systems.
The Indicator
The length parameter as the same function as the one described in the sequential filter post, however here length also control the period of the moving average used input, in short larger values of length will return a smoother but less reactive output.
In blue the moving average with length = 200, and in red the moving average with length = 50.
It is interesting to see how the moving average remain flat during ranging/flat market periods
Unfortunately like the sequential filter the sequentially filtered moving average (SFMA) is not affected by large short term variations such as gaps or short term volatile events. This is because of the nature of the sequential filter to ignore movements amplitude and only focus on the variation period.
Moving Average Crossover System
The SFMA is equal to a simple moving average of period length when a consecutive up/down sequence of size length has occurred, else the SFMA is equal to its precedent value, therefore we could expect less crosses between a fast moving average and the SFMA as slow moving average.
We can see on the figure above that the fast moving average of period 50 (in green) cross more with the slow moving average of period 200 (in red) than with the SFMA of period 200 (in blue).
Crosses can occur at the same time as with the classical slow moving average (in red) or a bit later.
Conclusion
A new moving average based on the recently proposed sequential filter has been proposed, it can be seen that under a moving average crossover system the proposed moving average seems to be more effective at producing less crosses without necessarily doing it with an excessive lag, in fact the moving average has either lag (length-1)/2 or lag length .
In the future it could be interesting to provide an hybrid alternative that take into account volatility as well as variations period.
Thanks for reading !
Cari skrip untuk "ha溢价率"
London Breakout with MDX Trailing StopThis indicator aims to aid in using the regular London Breakout strategy, as well as improve on it by adding a trailing stop based on the Mean Deviation Index.
The London Breakout strategy (according to my personal understanding) basically sees the morning before London open as the accumulation or distribution range for large buyers or sellers, and assumes the market will break either above that mornings high or below that mornings low when they start to move price. It is mostly used to trade stock indices and forex.
This indicator plots the morning high and low for each day. The green line is the morning high, and the red line is the morning low. If price moves above the green line (the morning high) it fills that area with a green color. If price moves below the green line (the morning low) it fills that area with a red color. This makes the breakouts easy to spot.
The background color of the chart turns green when the MDX is above 0 (price is more than X times ATR above the mean) and a breakout above the morning high has occurred, and stays green until the opposite happens.
The background color of the chart turns red when the MDX is below 0 (price is more than X times ATR below the mean) and a breakout above the morning high has occurred, and stays green until the opposite happens.
The default for X above is 1.0, but this can be changed in the settings by changing "ATR Multiplier".
The background is always neutral during the morning session since the morning high and morning low are not established yet.
A trailing stop is shown when price is more than X times away from the mean and a breakout has occured. The distance is set using the MDX. The trailing stop uses a separate ATR multiplier though, to make the signal and trailing stop MDX values different, if one likes. The default ATR multiplier for the trailing stop is 1.25, but this can be changed is the settings by changing "ATR multiplier for trailing stop".
When the high or low of a candle breaks the trailing stop, it is moved further away, indicating you have been stopped out, but gives opportunity to use it if you enter again (so it doesn't just disappear).
As an added bonus, take profit levels have been added based on the mornnig range. The take profit distance is set by multiplying the range with a factor. The levels are then plotted that distance from the morning high and morning low.
MDX:
Grover Llorens Cycle Oscillator [alexgrover & Lucía Llorens]Cycles represent relatively smooth fluctuations with mean 0 and of varying period and amplitude, their estimation using technical indicators has always been a major task. In the additive model of price, the cycle is a component :
Price = Trend + Cycle + Noise
Based on this model we can deduce that :
Cycle = Price - Trend - Noise
The indicators specialized on the estimation of cycles are oscillators, some like bandpass filters aim to return a correct estimate of the cycles, while others might only show a deformation of them, this can be done in order to maximize the visualization of the cycles.
Today an oscillator who aim to maximize the visualization of the cycles is presented, the oscillator is based on the difference between the price and the previously proposed Grover Llorens activator indicator. A relative strength index is then applied to this difference in order to minimize the change of amplitude in the cycles.
The Indicator
The indicator include the length and mult settings used by the Grover Llorens activator. Length control the rate of convergence of the activator, lower values of length will output cycles of a faster period.
here length = 50
Mult is responsible for maximizing the visualization of the cycles, low values of mult will return a less cyclical output.
Here mult = 1
Finally you can smooth the indicator output if you want (smooth by default), you can uncheck the option if you want a noisy output.
The smoothing amount is also linked with the period of the rsi.
Here the smoothing amount = 100.
Conclusion
An oscillator based on the recently posted Grover Llorens activator has been proposed. The oscillator aim to maximize the visualization of cycles.
Maximizing the visualization of cycles don't comes with no cost, the indicator output can be uncorrelated with the actual cycles or can return cycles that are not present in the price. Other problems arises from the indicator settings, because cycles are of a time-varying periods it isn't optimal to use fixed length oscillators for their estimation.
Thanks for reading !
If my work has ever been of use to you you can donate, addresses on my signature :)
Volatility Stop MTFThis is a multi-timeframe version of our Volatility Stop , an ATR-based trend detector that can be used as a stop.
► Timeframe selection
The higher timeframe can be selected using 3 different ways:
• By steps (60 min., 1D, 3D, 1W, 1M, 1Y).
• As a multiple of the current chart's resolution, which can be fractional, so 3.5 will work.
• Fixed.
Note that you can also use this indicator without the higher timeframe functionality. It will then behave as our normal Volatility Stop would.
► Stop breaches
Two modes of stop-breaching logic can be selected.
• In the default, Early Breach mode, the stop is considered breached when a bar at the chart's current resolution breaches the higher timeframe stop.
• You may also choose to calculate breaches on the higher timeframe information only.
Choosing the Early Breach mode has the advantage of generating faster exits. It will create a state of limbo where the stop has been breached but the Volatility Stop trend has not yet reversed. The impact of detecting earlier exits to minimize losses comes, as is usually the case, at the cost of a compromise: if the stop is breached early in a long trend, the indicator will then spend most of that trend in limbo. Sizeable portions of a trend can thus be missed.
A few options are provided when you use Early Breach mode:
• A red triangle can identify early breaches (default).
• You can color bars or the background to identify limbo states.
When in limbo, the color used to plot the indicator's line or shapes will always be darker.
► Alerts
Five pre-defined alerts are supplied:
• #1: On any trend change.
• #2: On changes into an uptrend.
• #3: On changes into a downtrend.
• #4: Only on breaches of the uptrend by the chart's bars (Early Breach mode). Will not trigger on a trend change.
• #5: Only on breaches of the downtrend by the chart's bars (Early Breach mode). Will not trigger on a trend change.
As usual, alerts should be configured to trigger Once Per Bar Close . When creating alerts, you will see a warning to the effect that potentially repainting code is used, even if the indicator's default non-repainting mode is active. The warning is normal.
► Other features
• You can color bars using the indicator's up/down state. When bars are colored, up bars are more brightly colored.
• The HTF line is non-repainting by default, but you can allow it to repaint.
• You can confirm the higher timeframe used by displaying it at a selectable distance from the last bar on the chart.
• Choice of 2 color themes.
• Choice of display as a line, circles, diamonds or arrows. The line can be used with the other shapes. If no line is required, set its thickness to zero.
Enjoy!
Look first. Then leap.
UT Bot Strategy with Backtesting Range [QuantNomad]UT Bot indicator was inially developer by @Yo_adriiiiaan
Idea of original code belongs @HPotter
I can't update my original UT Bot Strategy so I publishing new strategy with backtesting range included.
I just took code of Yo_adriiiiaan, cleaned it, deleted all useless pieces of code, transformet to v4 and created a strategy from it.
Also I added an input that allows you to swich to signals from Heiking Ashi. I saw that author uses HA for the indicator and on HA it look much nices then on real candles.
Do not add this strategy to HA candles, use usual candles and this checkbox.
Original script:
UT Bot
Windowed Volume Weighted Moving AverageIntroduction
The concept of windowing was briefly introduced in the Blackman filter post, however windowing is more than just some window functions, and isn't exclusively used in filter design.
Today we will use windowing with the volume weighted moving average, a moving average that weight the price with volume in order to be more reactive when volume is high, that is the moving average is more reactive when the market is more active. The use of windowing in the vwma allow to enhance its performance in the frequency domain which result in a smoother output.
Note that i made a similar indicator long ago, but at that time I was not great at all with math and pinescript in general and the indicator was therefore wrong, i want to remind to the community that i'am not a professional, only an enthusiast, I never claimed to be a master coder and i'am totally open to receive criticism, if I sounded like bragging in the past I apologize, at 20 years old it is still easy to act like a kid, the information contained in my posts is only shared in order to help others but also myself, since sharing is also a way to learn more effectively. That said lets go with the indicator.
Windowing
Windowing consist on applying a window function to a signal, by applying i mostly talk about multiplying, this process is mostly used with windowed sinc filters in order to reduce ripples in the pass/stop band, but can be used with any kind of filters in order to have better frequency domain performance, the only thing we need to do is to multiply the filter weights by a window function.
In order to understand windowing it is useful to visualize this process and understand spectral leakage. Remember that we can describe a signal as the sum of sine/cosine waves of different frequencies, amplitude and phase, leakage is an effect that appear with signals having discontinuities, that is when a signal non periodic.
This figure show a non periodic sine wave of frequency 0.1, a non periodic signal will have is last sample value different from its first sample value, if we where to do its fourier transform we wouldn't end up with a single bin at 0.1 but with more bins, this is spectral leakage, the discontinuities in the signal create additional frequency components. In order to reduce leakage we must make the signal approximately periodic, this is done by making use of window functions.
A window function is symmetric and relatively smooth, all we have to do is to multiply our first non periodic signal with the window function.
We end up with the following windowed signal :
The signal is approximately periodic and leakage has been reduced. Now that we have seen that, it might be useful to see why it is useful in filters.
Remember that the Fourier transform of the filter weights gives us its frequency response, if our weights introduce leakage we end up with ripples, so windowing the filter weights might help reduce the ripples in the frequency response, which result in a smoother filter output.
Volume Weighted Moving Average
A volume weighted moving average is a FIR filter who use volume as filter kernel, therefore the frequency response of this filter always change, it is therefore not wrong to qualify the vwma as an adaptive moving average. Higher volume mean higher weighting of the current closing price value, which therefore produce a more reactive output.
However the smoothness of the moving average is relatively poor.
Windowed Volume Weighted Moving Average
The proposed moving average has a length setting who control the moving average period, and various options that we will describe below. The first option is the type of window, there are many windows, certains more complex than others, here 3 windows are proposed, the famous Blackman window, the Bartlett, and finally the Hanning window, they provide each different level of smoothness. lets compare our moving average with period 100 with a vwma of the same period.
Our moving average in red, and the vwma in blue. As you can see the results are smoother.
The power parameter is used in order to give an even higher weighting to closing prices with high volume, this create a more boxy output. Below is a comparison with a vwma in blue and a powered vwma in red with power = 2 without windowing :
We can then apply a window, here i will choose the Blackman window :
Conclusion
A new moving average based on windowed volume weighting has been proposed. The result are smoother which might therefore reduce whipsaw trades. I wish i could have explained things better, unfortunately windowing isn't something i use much, i wanted to post this moving average earlier this year.
I will be off in France for 1 week, my flight is tomorrow in the morning, therefore i don't think i'll have the possibility to make other posts this year. I want to profit from this occasion to review my year in tradingview.
Many indicators have been posted, some being extremely bad and others really interesting, this year introduced my attempts on estimating the lsma efficiently, the linear channels, an attempt on making lines and remain the first indicator from the v4 i posted if i'am right. Then came the efficient auto-line, who gained some popularity quite fast. Then finally the %G oscillator and the recursive bands where posted, and remain some of the favorites indicators i made. I also wanted to leave this year due to studies, that i totally abandoned, i'am thankful that i chosen to stay.
I also want to express my apologies to any member that i could have offended, i think that i'am not a mean person but i certainly not contest the fact that i'am clumsy, even in my work, however my clumsiness is far greater when it comes to interact with other peoples or a group of peoples, i don't want to hurt anyone, if i made anything that made you feel bad then i'am sincerely sorry, and hope we can start this new year from 0.
Finally i thank the tradingview community for their interest and curiosity, i thank all the great coders who work on making pinescript a better scripting language, i also thank the tradingview staff for their work this year. I wish you all a merry christmas, and an happy new year.
Thanks for reading.
Elephant Bar by Oliver VelezThis script detects an event created by Oliver Velez, basically it is a wide-range candle, its range is noticeably larger than the previous candles, this event indicates a possible continuation of the movement, or the beginning of an extended movement. The candle has to be of good body, as a rule it can be taken that the body must be more than 70%. The stop goes below the minimum of the candle and the signal is given when the next candle followed by the elephant candle exceeds its body, this condition is not programmed so that the alert indicates that an elephant candle was generated and the trader has some time to visualize the graph and wait for the signal. Example below:
NOTE: IT IS VERY IMPORTANT THAT THE TRADER ANALYZE THE CONTEXT OF THE MARKET WHERE THE ELEPHANT BAR IS GENERATED AND DETERMINE ACCORDING TO ITS EXPERIENCE IF THE EVENT HAS A GOOD PROBABILITY OF PROJECTION, YOU MUST NOT TAKE AN ENTRY ONLY BY THIS EVENT, IF YOU DO YOU WILL LOSE ALL YOUR MONEY
.
One of the problems of the elephant bar is that it generates a fairly wide risk unit with respect to other narrow range events, so the risk / benefit ratio is not very large, but it is an event that deserves attention when it occurs in a good location since it generally generates continuation.
If you want to have a lower risk unit and improve the risk / benefit ratio, you can play the “Gift Zone”, when detecting an elephant bar you can wait for a step back inside the elephant bar area and take a position, this will give you a less distance to the stop, but this can lead to the event escaping if there is no recoil.
- The size of the candle is determined by comparing a range of previous candles (you can set the amount at your discretion)
- Search factor: by default 1.3, this means that all bars that have a range greater than the average range of previous candles + 30%, are considered elephant candles (can be configured at your discretion)
- Possibility to configure the percentage of the body that the elephant candle must have.
- Possibility of filtering up to 2 means with direction detection and color change (fully configurable)
- Possibility of filtering by mobile averages
- Alerts
- Additional features
Thumb up if you liked me ..
Damped Sine Wave Weighted FilterIntroduction
Remember that we can make filters by using convolution, that is summing the product between the input and the filter coefficients, the set of filter coefficients is sometime denoted "kernel", those coefficients can be a same value (simple moving average), a linear function (linearly weighted moving average), a gaussian function (gaussian filter), a polynomial function (lsma of degree p with p = order of the polynomial), you can make many types of kernels, note however that it is easy to fall into the redundancy trap.
Today a low-lag filter who weight the price with a damped sine wave is proposed, the filter characteristics are discussed below.
A Damped Sine Wave
A damped sine wave is a like a sine wave with the difference that the sine wave peak amplitude decay over time.
A damped sine wave
Used Kernel
We use a damped sine wave of period length as kernel.
The coefficients underweight older values which allow the filter to reduce lag.
Step Response
Because the filter has overshoot in the step response we can conclude that there are frequencies amplified in the passband, we could have reached to this conclusion by simply seeing the negative values in the kernel or the "zero-lag" effect on the closing price.
Enough ! We Want To See The Filter !
I should indeed stop bothering you with transient responses but its always good to see how the filter act on simpler signals before seeing it on the closing price. The filter has low-lag and can be used as input for other indicators
Filter with length = 100 as input for the rsi.
The bands trailing stop utility using rolling squared mean average error with length 500 using the filter of length 500 as input.
Approximating A Least Squares Moving Average
A least squares moving average has a linear kernel with certain values under 0, a lsma of length k can be approximated using the proposed filter using period p where p = k + k/4 .
Proposed filter (red) with length = 250 and lsma (blue) with length = 200.
Conclusions
The use of damping in filter design can provide extremely useful filters, in fact the ideal kernel, the sinc function, is also a damped sine wave.
UT Bot StrategyUT Bot indicator was inially developer by @Yo_adriiiiaan
Idea of original code belongs @HPotter
I just took code of Yo_adriiiiaan, cleaned it, deleted all useless pieces of code, transformet to v4 and created a strategy from it.
Also I added an input that allows you to swich to signals from Heiking Ashi. I saw that author uses HA for the indicator and on HA it look much nices then on real candles.
Do not add this strategy to HA candles, use usual candles and this checkbox.
Original script:
MACD Leader [ChuckBanger]MACD makes use of moving averages and therefor usually lags behind the price. It is possible to eliminate lag completely but the work around of this is usually by adding a component of the price/MA difference back to MA. This technique is called Zero-lag. It is not zero lag but it is close enough. "MACD Leader" makes use of this to form a leading signal to MACD.
First proposed by Giorgos E. Siligardos, "Leader" leads normal MACD , especially when significant trend changes are about to take place. This has the following features:
- It is similar to MACD in smoothness.
- It can be plotted along with MACD in the same window using the same scaling.
- It has the ability to lead MACD at critical situations
For detailed discussion on the various divergence patterns, refer to the PDF here: drive.google.com
This script provide an option to plot MACD and MACD leader signal on the same pane. You can enable/disable them how you want via options page. It also has the option to change to different MA types.
Visual RSI [LucF]Visual RSI offers a different way of looking at RSI by providing a composite representation of 9 different RSI-generated components. Instead of focusing on one line only, this approach blends multiple sources to provide the viewer with a larger context RSI-based picture.
For those who don’t want to read
• Green in bullish (>50) zone is the most bullish.
• Red in bullish zone doesn’t necessarily mean bearish—it just means bullish strength is weakening. It may be just a pause before a reprise or exhaustion signalling a reversal—impossible to tell.
• The same in inverse applies to the bearish zone (<50).
For those who want to understand
The nine components making up Visual RSI are:
• a current timeframe RSI
• a higher timeframe RSI
• the delta between these two RSI lines
• for each of these three basic components, two independent Bollinger band: one calculated for the bullish section of the scale (>50) and a separate one calculated for the lower bearish region.
Dual BBs
In my view, RSI’s position with regards to the centerline is much more important than its position in extreme areas. Why? Because the building block of RSI is the ratio of the averages of up/down moves during the RSI period. When the average of ups is greater, RSI is > 50. So while a rising signal starting from 20 let’s say, indicates that the rate of change is increasing, only when it crosses 50 can we say that sentiment balance has truly become bullish, and this information is more reliable than the signal being at a level corresponding to whatever estimate we make of what constitutes an extreme value. In my landscape, the general balance of a ratio provides more valuable information than the ratio’s exact value.
The idea behind the dual BBs is to provide independent tracking information for both halves of the indicator’s space, which I find more useful than the normal method of simply adding a multiple of the standard deviation on both sides of the mean. With dual BBs, the upper BB will never go lower than the indicator’s centerline, and the lower BB will never go higher. The upper BB focuses on upper-bound volatility when the signal is bearish, and the lower BB focuses on downside volatility when the signal is bearish.
The functions used to calculate the independent BBs are reusable on other signals if a centerline can be defined for them. A clamping percentage is implemented, so that when a BB line is hugging the centerline it clamps to it. This helps in providing earlier signals when they use the BB line states.
Providing context to RSI
What RSI measures indirectly is the balance in the rate of change—or the speed of price movement, but not its instant value, otherwise RSI would be even noisier. More precisely, RSI represents the relative strength of the up/down movement in the last n bars of RSI’s length, with 14 often used because that’s what Wilder proposed (Visual RSI’s defaults are 20 for the current timeframe and 40 for the higher timeframe). At every bar, a new value is added to the equation and an old value carrying equal weight is dropped, so a large dropped off value will have more impact on RSI’s value if the new bar’s move is small. This accounts for some of RSI’s speed in identifying exhaustion after important moves, but almost for some of its noise.
Visual RSI is the result of trying to drown RSI’s noise in the context of other informational streams, while simultaneously providing even faster information than RSI alone, by giving more visual weight to the delta between the current and higher timeframe RSI’s.
How to read Visual RSI
The default settings show all 9 basic components as green/red areas of intensities varying with their importance. The most intense colors are reserved for the delta RSI and the BBs have the lightest intensities. The individual lines of components are intentionally difficult to distinguish so that focus is first on the general picture, including the all-important six-state background, and then on the delta RSI.
One entry setup could be reversals in a larger trend context, so low pivots of the delta in a fully bullish context (a green background in the upper section of the indicator), and inversely, high pivots in a fully bearish context (a red background in the lower section of the indicator).
Please resist the common misconception, when interpreting RSI, that a reversal in the signal will necessarily lead to a reversal in price. Each trend has its rhythm. Only machine-generated price action can progress regularly. It’s normal for trends to take a breather for some time before they continue or reverse, as traders driving the trend experience emotional fatigue and gradual fear. RSI reversals merely signify that such a breather has occurred—nothing more. Only the larger context can provide information that can situate that pause and put more meaningful odds on it having more probability of continuing in one direction or the other. This is the reasoning behind the setup just described.
Features
• All components can be hidden, displayed as a simple line, a uniformly colored fill, or a green/red fill (the default).
• The background can be colored using 9 different methods, including 3 six-state methods using the rising/falling BB lines of the 3 basic components. These six states allow for bullish/bearish/neutral sentiment in both the upper and lower regions of the indicator. A bearish (dark red) background in the bullish (>50) section of the indicator represents decreasing bullishness. A bearish (slightly brighter red) in the bearish (<50) section of the indicator means incresingly bearish sentiment. The six-state backgrounds allow for neutral (no color) sentiment when no compelling signs can be found to conclude anything with meaningful odds. The default background uses the six-state method on the higher timeframe RSI’s BBs because I find it the most useful, as it represents the largest—and slowest—context sentiment among all the indicator’s components.
• A thin status bar in the top part of the indicator also allows selection of the same 9 methods to color it. The default is a triple-state system using the rising/falling characteristics of the current timeframe RSI’s BBs to provide a short-term counterbalance to the long-term background.
• Three different markers can be configured using approximately 70 permutations each, each filtered by 20 different filter permutations. When modification of the relevant parameters in the script’s Settings/Settings/Parameters section is added, possibilities are almost endless. If the generated signals are then fed into the PineCoders Engine and combined with the Engine’s own options, the permutations go up another order of magnitude, and changes to any setting can be instantly evaluated using the Engine’s backtesting results.
• Five simple filters can be combined. They are additive. They include volume-related conditions and a chandelier, which I find useful because both volume and volatility (the chandelier using highs/lows and ATR) are sensible complementary sources to RSI’s momentum information. The filter’s state can be shown as a thin line at the bottom of the indicator.
• Alerts can be configured using any of the marker/filter combinations mentioned. As usual, once your markers/filters are set up the way you want, create your alert from the chart/timeframe you want the alert to run on and be sure to use the “Once Per Bar Close” triggering condition. Use an alert message that will remind you of which combination of markers were used when creating the alert.
• A plot providing entry signals for the PineCoders Backtesting & Trading Engine is supplied. It will use whichever marker/filter configuration is active to generate signals.
• All higher timeframe information is non-repainting. Higher timeframe lines can be smoothed (the default). The selection of the higher timeframe can be made using 3 different methods:
1. By steps (if current timeframe <= 1 minute: 60 min, <= 60 min: 1D, <= 6H: 3D, <= 1D: 1W, <=1W: 1M, >1W: 12M)
2. By a user-defined multiple of the current timeframe
3. Using a fixed timeframe
Thanks to:
• Alex Orekhov aka @everget for the chandelier code.
• @RicardoSantos who through a small remark early on, unknowingly put me on the track of eliminating noise through visual crowding.
• The brilliant guys in the PineCoders Pro room for your knowledge, limitless creativity and constant companionship.
Delta Volume Columns [LucF]Displays delta volume columns using intrabar volume information. Each volume column is divided into three sections: buying, selling and neutral volume. Volume for each section is determined from the volume and price movement of each intrabar at a user-selected lower resolution.
Features include:
- Choice of color themes for either dark or light chart backgrounds
- Delta volume columns
- Volume Balance displayed as the difference between the MAs of buying and selling volume
- Display of divergences between a bar’s volume balance and the bar’s price movement (example: buying volume > selling volume but close < open). Divergences can be shown in 2 different color schemes (including green/red showing a tentative direction), on volume columns and/or on chart bars
- Display of bar by bar volume balance with highlighting of above average volume
- Display of the usual total volume MA
- Choice of the lower resolution used to retrieve intrabar information
- Alerts configurable on any combination of the markers, with control over long/short direction
- Choice of 3 different markers:
1. Double bumps: two consecutive bars where buying or selling volume is in the same direction and where volume > volume MA
2. Divergence confirmations: direction of the price bar following a price/volume balance divergence
3. Volume balance shifts: zero level crossings of the volume balance MA delta
The chart shows the two main modes of display:
- Top pane : shows the stacked volume columns with divergences in orange and the flattened volume balance MAs delta at the bottom of the volume columns. This volume balance is the same shown in the bottom pane. The top pane also shows the instant volume balance strip above the volume columns. The strip’s colors show which of the buying or selling volume was greater, and colors are brighter if the total volume was above the total volume MA.
- Bottom pane : shows the volume balance MAs delta with markers 1 and 2. Given that this graphic has no price momentum component, I find quite eerie how it often looks like a momentum-based signal.
The default 5 minute intrabar resolution is used in combination with the weekly chart, which is excessive.
This script uses a special characteristic of the security() function’s behavior when it is sent to a resolution lower than the chart’s resolution. Details are given in the script’s comments. This method has the advantage of working under more circumstances than some of the other loop-based methods, but it also has its limits.
IMPORTANT
This is what you need to know:
- The method used does not work on the realtime bar—only on historical bars. Consequently, the volume column shown on the realtime bar is a normal volume column plotted in green or red, following price movement. The column will only show delta volume information after it closes and becomes a historical bar.
- The indicator only works on some chart resolutions: 5, 10, 15 and 30 minutes, 1, 2, 4, 6, and 12 hours, 1 day, 1 week and 1 month. The script’s code can be modified to run on other resolutions, but chart resolutions must be divisible by the lower resolution used for intrabars.
- Intrabar resolutions can be selected from 1, 5, 15, 30, 45 minutes, 1, 2, 3, 4 hours, 1 day, 1 week and 1 month. The intrabar resolution must of course be smaller than the chart’s resolution.
- Contrary to my other indicators where alerts must be configured to trigger “Once Per Bar Close” in order to avoid false triggers (or repainting), all this indicator’s alerts are designed to trigger using previous bar information since the indicator’s calculations in the realtime bar are not exact. Markers are not plotted with a negative offset; they appear at the beginning of the realtime bar following confirmation of the marker’s condition on the previous bar. Alerts for this indicator should thus be configured to trigger “Once Per Bar” so they trigger at the beginning of the realtime bar. Note that the penalty is not that great, as it is simply the instant between the close of the previous realtime bar and the opening of the next. The advantage of using this technique is that the indicator does not repaint; a marker that appears at the beginning of the realtime bar will never disappear.
- The script only plots information that is reliable in the realtime bar, i.e., total volume and markers. All other plots are set to n/a to prevent misleading traders.
- When the difference between the chart’s resolution and the lower resolution is too important, volume columns will not calculate for all bars in the dataset.
On Delta Volume
Buying or selling volume are misnomers, as every unit of volume transacted is both bought and sold by 2 different traders. There is no such thing as “buy only” or “sell only” volume, but trader lingo is riddled with original fabulations.
Without access to order book information, traders work with the assumption that when price moves up during a bar, there was more buying pressure than selling pressure. The built-in volume indicator available on TradingView uses this logic to color the volume columns green or red. While this script’s numbers are more precise because it analyses a number of intrabars to calculate its information, it uses the exact same imperfect logic to calculate its buying/selling/neutral sections.
Until Pine scripts can have access to how much volume was transacted at the bid/ask prices, our so-called buying/selling volume information will always be a mere proxy.
Divergences
You may wonder how there can be divergences between buying/selling volume information and price movement. This will sometimes be due to the methodology’s shortcomings we have just discussed, but divergences may also occur in instances where because of order book structure, it takes less volume to increase the price of an asset than it takes to decrease it.
As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. I do not share the overwhelming enthusiasm traders have for divergences. To your pattern-hungry brain, the orange bars this indicator shows on chart will—as divergences on other indicators do–appear to often indicate turnarounds. My opinion is that reality is generally quite sobering, as many who have tried building automated rules based on divergences will tell you. I do not have hard numbers on the lack of performance of divergences—only many failed attempts to make them perform, which a few experienced strategy modelers I know share with me. Please don’t try to read too much into them. While they look great on past data, I find they are often difficult to use in realtime to make bets with good odds.
Thanks to:
- A guy called Kuan who commented on a Backtest Rookies presentation of an intrabar delta volume indicator using a for loop. The heart of “my” indicator is code borrowed from Kuan; I just built a hopefully useful wrapper around it.
- @theheirophant, my partner in the exploration of the sometimes weird abysses of security() ’s behavior at lower resolutions.
Momentum TraderThis study combines two versatile momentum indicators :
Chande Momentum Oscillator:
-Measures trend strength, with higher absolute values meaning greater strength.
-Also tracks divergence. When price increases, but is not accompanied by an increase in Chande Momentum Oscillator values, it signifies bearish divergence and a reversal is likely to follow.
-Shown as the teal and pink histogram.
Percentage Price Oscillator:
-Similar to the MACD, except that it expresses the difference between the two moving averages in terms of a percentage. This makes it a little easier to visualize.
-PPO values greater than zero indicate an uptrend, as that means the fast EMA is greater than the slow (and vice versa).
Entry and Exit Conditions:
Enter When:
1) Chande Momentum crosses over zero from negative to positive territory. AND
2) It has been less than 3 bars since Chande Momentum was less than the lower green line. AND
3) Chande Momentum is rising(positive slope).
Exit When:
1) Chande Momentum is greater than the upper line. AND
2) It has been less than 6 bars since the PPO value was greater than the upper bound. AND
3) PPO is less than 5 (meaning the difference between the two EMA's is less than 5%). AND
4)PPO has a negative slope.
This study comes with alert conditions for long entries and exits.
~Happy Trading~
Open Interest:CME e-o-d vs CFTC e-o-wCFTC only publishes total OI on fridays, related to last Tuesday.
But what happened since last Tuesday?
CME Vol & Open Interest data is recorded&exported daily by quandl.com to tradingview
via the che CHRIS/CME datasets
www.quandl.com
Eg. Nat Gas next outstanding cntract n. 20, field n. 7(OI)
@quandl.com:
www.quandl.com
is exported @tradingview:
www.tradingview.com
Every outstanding contract's OI & vol is exported (black column), but not the total (yellow line):
tiny.cc
This script sums up all the existing outstanding contract's OI for the future (the black column), so one can have an idea of the total OI for the day (Yellow line).
As numer of outstanding contracts varies from future to future,Eg:
E-mini (ES) has 4 contracts, Gold(GC) 16 cntrcts, NatGas(NG) has 43, WTI(CL) has 38 etc
the scrips tries to guess how many exist for it and sums them up, to have the total OI for tha day
Number ofoutstanding contracts exported by quandl.com to tradingview is taken from
s3.amazonaws.com
There are 2 params you can enter on the script:
* override the ticket symbol on the chart ,if script cannot guessit or you need a different one
* enter the "preliminary" OI that is published by CME early the next day, butb not yet exported by quandl to tradingview
This script is Open so anyone can copy and modifyit for its use.
Please post comments and ideas if you find it useful
I try to keep a log of my work here:
Relative Body Indicator by VtsRBI:
The EMA of the relative body (RB) of Japanese candles is evaluated.
The RB of a candle (my definition) is simply the ratio of the body with respect to its full length
and taken positive for bull candles and negative for bear candles:
e.g. a bull "marubozo" has RB=1 a bear "marubozo" has RB=-1;
a "doji" has RB=0.
This simple indicator grasps the essence of the market by filtering out a great deal of noise.
A flag can be selected to calculate its very basic binary version, where a bull candle counts as a one
and a bear candle counts as a minus one.
Enter (or exit) the market when the signal line crosses the base line.
When the market is choppy we have a kind of alternating bear and bull candles so that
RBI is FLAT and usually close to zero.
Therefore avoid entering the market when RBI is FLAT and INSIDE the Exclusion level.
The exclusion level is to be set by hand: go back in history and check when market was choppy; a good
way to set it is to frame the oscillations of RBI whe price was choppy.
RBI is more effective when an EMA of price is used as filtering. I found EMA(13) to be
a decent filter: go long when base crosses signal upwards AND closing price is above EMA(13);
same concept for going short.
As any other indicator, use it with responsibility: THERE CAN'T BE A SINGLE MAGIC INDICATOR winning
all trades.
Above all, have fun.
Vitelot/Yanez/Vts March 31, 2019
Note: I'm not aware of any indicator like this. My apologies to whoever had this idea before me.
PivotBoss TriggersI have collected the four PivotBoss indicators into one big indicator. Eventually I will delete the individual ones, since you can just turn off the ones you don't need in the style controller. Cheers.
Wick Reversal
When the market has been trending lower then suddenly forms a reversal wick candlestick , the likelihood of
a reversal increases since buyers have finally begun to overwhelm the sellers. Selling pressure rules the decline,
but responsive buyers entered the market due to perceived undervaluation. For the reversal wick to open near the
high of the candle, sell off sharply intra-bar, and then rally back toward the open of the candle is bullish , as it
signifies that the bears no longer have control since they were not able to extend the decline of the candle, or the
trend. Instead, the bulls were able to rally price from the lows of the candle and close the bar near the top of its
range, which is bullish - at least for one bar, which hadn't been the case during the bearish trend.
Essentially, when a reversal wick forms at the extreme of a trend, the market is telling you that the trend
either has stalled or is on the verge of a reversal. Remember, the market auctions higher in search of sellers, and
lower in search of buyers. When the market over-extends itself in search of market participants, it will find itself
out of value, which means responsive market participants will look to enter the market to push price back toward
an area of perceived value. This will help price find a value area for two-sided trade to take place. When the
market finds itself too far out of value, responsive market participants will sometimes enter the market with
force, which aggressively pushes price in the opposite direction, essentially forming reversal wick candlesticks .
This pattern is perhaps the most telling and common reversal setup, but requires steadfast confirmation in order
to capitalize on its power. Understanding the psychology behind these formations and learning to identify them
quickly will allow you to enter positions well ahead of the crowd, especially if you've spotted these patterns at
potentially overvalued or undervalued areas.
Fade (Extreme) Reversal
The extreme reversal setup is a clever pattern that capitalizes on the ongoing psychological patterns of
investors, traders, and institutions. Basically, the setup looks for an extreme pattern of selling pressure and then
looks to fade this behavior to capture a bullish move higher (reverse for shorts). In essence, this setup is visually
pointing out oversold and overbought scenarios that forces responsive buyers and sellers to come out of the dark
and put their money to work-price has been over-extended and must be pushed back toward a fair area of value
so two-sided trade can take place.
This setup works because many normal investors, or casual traders, head for the exits once their trade
begins to move sharply against them. When this happens, price becomes extremely overbought or oversold,
creating value for responsive buyers and sellers. Therefore, savvy professionals will see that price is above or
below value and will seize the opportunity. When the scared money is selling, the smart money begins to buy, and
Vice versa.
Look at it this way, when the market sells off sharply in one giant candlestick , traders that were short
during the drop begin to cover their profitable positions by buying. Likewise, the traders that were on the
sidelines during the sell-off now see value in lower prices and begin to buy, thus doubling up on the buying
pressure. This helps to spark a sharp v-bottom reversal that pushes price in the opposite direction back toward
fair value.
Engulfing (Outside) Reversal
The power behind this pattern lies in the psychology behind the traders involved in this setup. If you have
ever participated in a breakout at support or resistance only to have the market reverse sharply against you, then
you are familiar with the market dynamics of this setup. What exactly is going on at these levels? To understand
this concept is to understand the outside reversal pattern. Basically, market participants are testing the waters
above resistance or below support to make sure there is no new business to be done at these levels. When no
initiative buyers or sellers participate in range extension, responsive participants have all the information they
need to reverse price back toward a new area of perceived value.
As you look at a bullish outside reversal pattern, you will notice that the current bar's low is lower than the
prior bar's low. Essentially, the market is testing the waters below recently established lows to see if a downside
follow-through will occur. When no additional selling pressure enters the market, the result is a flood of buying
pressure that causes a springboard effect, thereby shooting price above the prior bar's highs and creating the
beginning of a bullish advance.
If you recall the child on the trampoline for a moment, you'll realize that the child had to force the bounce
mat down before he could spring into the air. Also, remember Jennifer the cake baker? She initially pushed price
to $20 per cake, which sent a flood of orders into her shop. The flood of buying pressure eventually sent the price
of her cakes to $35 apiece. Basically, price had to test the $20 level before it could rise to $35.
Let's analyze the outside reversal setup in a different light for a moment. One of the reasons I like this setup
is because the two-bar pattern reduces into the wick reversal setup, which we covered earlier in the chapter. If
you are not familiar with candlestick reduction, the idea is simple. You are taking the price data over two or more
candlesticks and combining them to create a single candlestick . Therefore, you will be taking the open, high, low,
and close prices of the bars in question to create a single composite candlestick .
Doji Reversal
The doji candlestick is the epitome of indecision. The pattern illustrates a virtual stalemate between buyers
and sellers, which means the existing trend may be on the verge of a reversal. If buyers have been controlling a
bullish advance over a period of time, you will typically see full-bodied candlesticks that personify the bullish
nature of the move. However, if a doji candlestick suddenly appears, the indication is that buyers are suddenly
not as confident in upside price potential as they once were. This is clearly a point of indecision, as buyers are no
longer pushing price to higher valuation, and have allowed sellers to battle them to a draw-at least for this one
candlestick . This leads to profit taking, as buyers begin to sell their profitable long positions, which is heightened
by responsive sellers entering the market due to perceived overvaluation. This "double whammy" of selling
pressure essentially pushes price lower, as responsive sellers take control of the market and push price back
toward fair value.
Alpha-Sutte ModelThe Alpha-Sutte model is an ongoing project run by Ansari Saleh Ahmar, a lecturer and researcher at Universitas Negeri Makassar in Indonesia, that attempts to make forecasts for time series like how Arima and Holt-Winters models do. Currently Ahmar and his team have conducted research and published papers comparing the efficacy of the Alpha-Sutte and other models, such as Arima and Holt-Winters, on topics ranging from forecasting Turkey's CPI data, Bitcoin prices, Apple's stock prices, primary energy supply of Indonesia, to infant mortality rates in China.
The Alpha-Sutte model in comparison to the other two models listed above shows promise in providing a more accurate forecast, and the project has been able to receive some of its funding from organizations such as the US Agency for International Development, which is a part of the US Federal Government, so maybe the project has some actual merit.
How it works:
In this model there are four values presented at the top of the window.
1) The first value in blue is the value of the Alpha-Sutte model whose purpose is to forecast the price of the current bar.
2) The second value in yellow is an adaptive version of the Alpha-Sutte model that I made. The purpose of the adaptive Alpha-Sutte model is to expand upon the Alpha-Sutte by allowing new information to be introduced, causing the value to change during the current period, hence the adaptiveness of it.
3) The third value in aqua is the moving average of the low% Sutte line which is a predictive line that is based off of the close and low of the current and previous periods.
4) The fourth value in red is the moving average of the high% Sutte line which is a predictive line that is based off of the close and high of the current and previous periods.
Trend signals:
If low% Sutte (aqua value/line) is greater than high% Sutte (red value/line) then this is a buy signal.
If high% Sutte (red value/line) is greater than low% Sutte (aqua value/line) then this is a sell signal.
Caveat:
Even though this model's purpose is to forecast the future, will it be able to predict periods of large movements? No, of course not, but it will adjust quickly to try to make more accurate forecasts for the next period. This was also a reason why I made an adaptive version of this model to try to reduce some of the discrepancies between the Alpha Sutte and price when there is a large unexpected move.
*WARNING before using this I would highly recommend that you look up "Sutte Indicator" online and read some of the papers about this model before you use this , even though this model has shown merit when compared to Arima and Holt-Winter models this is still an ongoing project.*
Hopefully this project will actually come to something in the near future as the calculation for this time series predictive model is much easier to calculate and program in pine editor than something like an Arima model.
*Also, if you know how to use R language there is a package for the "Alpha-Sutte model".*
Multi SMA EMA WMA HMA BB (5x8 MAs Bollinger Bands) MAX MTF - RRBMulti SMA EMA WMA HMA 4x7 Moving Averages with Bollinger Bands MAX MTF by RagingRocketBull 2019
Version 1.0
All available MAX MTF versions are listed below (They are very similar and I don't want to publish them as separate indicators):
ver 1.0: 4x7 = 28 MTF MAs + 28 Levels + 3 BB = 59 < 64
ver 2.0: 5x6 = 30 MTF MAs + 30 Levels + 3 BB = 63 < 64
ver 3.0: 3x10 = 30 MTF MAs + 30 Levels + 3 BB = 63 < 64
ver 4.0: 5(4+1)x8 = 8 CurTF MAs + 32 MTF MAs + 20 Levels + 3 BB = 63 < 64
ver 5.0: 6(5+1)x6 = 6 CurTF MAs + 30 MTF MAs + 24 Levels + 3 BB = 63 < 64
ver 6.0: 4(3+1)x10 = 10 CurTF MAs + 30 MTF MAs + 20 Levels + 3 BB = 63 < 64
Fib numbers: 8, 13, 21, 34, 55, 89, 144, 233, 377
This indicator shows multiple MAs of any type SMA EMA WMA HMA etc with BB and MTF support, can show MAs as dynamically moving levels.
There are 4 MA groups + 1 BB group, a total of 4 TFs * 7 MAs = 28 MAs. You can assign any type/timeframe combo to a group, for example:
- EMAs 9,12,26,50,100,200,400 x H1, H4, D1, W1 (4 TFs x 7 MAs x 1 type)
- EMAs 8,13,21,30,34,50,55,89,100,144,200,233,377,400 x M15, H1 (2 TFs x 14 MAs x 1 type)
- D1 EMAs and SMAs 8,13,21,30,34,50,55,89,100,144,200,233,377,400 (1 TF x 14 MAs x 2 types)
- H1 WMAs 13,21,34,55,89,144,233; H4 HMAs 9,12,26,50,100,200,400; D1 EMAs 12,26,89,144,169,233,377; W1 SMAs 9,12,26,50,100,200,400 (4 TFs x 7 MAs x 4 types)
- +1 extra MA type/timeframe for BB
There are several versions: Simple, MTF, Pro MTF, Advanced MTF, MAX MTF and Ultimate MTF. This is the MAX MTF version. The Differences are listed below. All versions have BB
- Simple: you have 2 groups of MAs that can be assigned any type (5+5)
- MTF: +2 custom Timeframes for each group (2x5 MTF) +1 TF for BB, TF XY smoothing
- Pro MTF: 4 custom Timeframes for each group (4x3 MTF), 1 TF for BB, MA levels and show max bars back options
- Advanced MTF: +4 extra MAs/group (4x7 MTF), custom Ticker/Symbols, Timeframe <>= filter, Remove Duplicates Option
- MAX MTF: +2 subtypes/group, packed to the limit with max possible MAs/TFs: 4x7, 5x6, 3x10, 4(3+1)x10, 5(4+1)x8, 6(5+1)x6
- Ultimate MTF: +individual settings for each MA, custom Ticker/Symbols
MAX MTF version tests the limits of Pinescript trying to squeeze as many MAs/TFs as possible into a single indicator.
It's basically a maxed out Advanced version with subtypes allowing for mixed types within a group (i.e. both emas and smas in a single group/TF)
Pinescript has the following limits:
- max 40 security calls (6 calls are reserved for dupe checks and smoothing, 2 are used for BB, so only 32 calls are available)
- max 64 plot outputs (BB uses 3 outputs, so only 61 plot outputs are available)
- max 50000 (50kb) size of the compiled code
Based on those limits, you can only have the following MAs/TFs combos in a single script:
1. 4x7, 5x6, 3x10 - total number of MTF MAs must always be <= 32, and you can still have BB and Num Levels = total MAs, without any compromises
2. 5(4+1)x8, 6(5+1)x6, 4(3+1)x10 - you can use the Current Symbol/Timeframe as an extra (+1) fixed TF with the same number of MTF MAs
- you don't need to call security to display MAs on the Current Symbol/Timeframe, so the total number of MTF MAs remains the same and is still <= 32
- to fit that many MAs into the max 64 plot outputs limit you need to reduce the number of levels (not every MA Group will have corresponding levels)
Features:
- 4x7 = 28 MAs of any type
- 4x MTF groups with XY step line smoothing
- +1 extra TF/type for BB MAs
- 2 MA subtypes within each group/TF
- 4x7 = 28 MA levels with adjustable group offsets, indents and shift
- supports any existing type of MA: SMA, EMA, WMA, Hull Moving Average (HMA)
- custom tickers/symbols for each group
- show max bars back option
- show/hide both groups of MAs/levels/BB and individual MAs
- timeframe filter: show only MAs/Levels with TFs <>= Current TF
- hide MAs/Levels with duplicate TFs
- support for custom TFs that are not available in free accounts: 2D, 3D etc
- support for timeframes in H: H, 2H, 4H etc
Notes:
- Uses timeframe textbox instead of input resolution dropdown to allow for 240 120 and other custom TFs
- Uses symbol textbox instead of input symbol to avoid establishing multiple dummy security connections to the current ticker - otherwise empty symbols will prevent script from running
- Possible reasons for missing MAs on a chart:
- there may not be enough bars in history to start plotting it. For example, W1 EMA200 needs at least 200 bars on a weekly chart.
- for charts with low/fractional prices i.e. 0.00002 << 0.001 (default Y smoothing step) decrease Y smoothing as needed (set Y = 0.0000001) or disable it completely (set X,Y to 0,0)
- for charts with high price values i.e. 20000 >> 0.001 increase Y smoothing as needed (set Y = 10-20). Higher values exceeding MAs point density will cause it to disappear as there will be no points to plot. Different TFs may require diff adjustments
- TradingView Replay Mode UI and Pinescript security calls are limited to TFs >= D (D,2D,W,MN...) for free accounts
- attempting to plot any TF < D1 in Replay Mode will only result in straight lines, but all TFs will work properly in history and real-time modes. This is not a bug.
- Max Bars Back (num_bars) is limited to 5000 for free accounts (10000 for paid), will show error when exceeded. To plot on all available history set to 0 (default)
- Slow load/redraw times. This indicator becomes slower, its UI less responsive when:
- Pinescript Node.js graphics library is too slow and inefficient at plotting bars/objects in a browser window. Code optimization doesn't help much - the graphics engine is the main reason for general slowness.
- the chart has a long history (10000+ bars) in a browser's cache (you have scrolled back a couple of screens in a max zoom mode).
- Reload the page/Load a fresh chart and then apply the indicator or
- Switch to another Timeframe (old TF history will still remain in cache and that TF will be slow)
- in max possible zoom mode around 4500 bars can fit on 1 screen - this also slows down responsiveness. Reset Zoom level
- initial load and redraw times after a param change in UI also depend on TF. For example: D1/W1 - 2 sec, H1/H4 - 5-6 sec, M30 - 10 sec, M15/M5 - 4 sec, M1 - 5 sec. M30 usually has the longest history (up to 16000 bars) and W1 - the shortest (1000 bars).
- when indicator uses more MAs (plots) and timeframes it will redraw slower. Seems that up to 5 Timeframes is acceptable, but 6+ Timeframes can become very slow.
- show_last=last_bars plot limit doesn't affect load/redraw times, so it was removed from MA plot
- Max Bars Back (num_bars) default/custom set UI value doesn't seem to affect load/redraw times
- In max zoom mode all dynamic levels disappear (they behave like text)
- Dupe check includes symbol: symbol, tf, both subtypes - all must match for a duplicate group
- For the dupe check to work correctly a custom symbol must always include an exchange prefix. BB is not checked for dupes
Good Luck! Feel free to learn from/reuse the code to build your own indicators.
Multi SMA EMA WMA HMA BB (4x5 MAs Bollinger Bands) Adv MTF - RRBMulti SMA EMA WMA HMA 4x5 Moving Averages with Bollinger Bands Advanced MTF by RagingRocketBull 2019
Version 1.0
This indicator shows multiple MAs of any type SMA EMA WMA HMA etc with BB and MTF support, can show MAs as dynamically moving levels.
There are 4 MA groups + 1 BB group, a total of 4 TFs * 5 MAs = 20 MAs. You can assign any type/timeframe combo to a group, for example:
- EMAs 12,26,50,100,200 x H1, H4, D1, W1 (4 TFs x 5 MAs x 1 type)
- EMAs 8,10,13,21,30,50,55,100,200,400 x M15, H1 (2 TFs x 10 MAs x 1 type)
- D1 EMAs and SMAs 8,10,12,26,30,50,55,100,200,400 (1 TF x 10 MAs x 2 types)
- H1 WMAs 7,77,89,167,231; H4 HMAs 12,26,50,100,200; D1 EMAs 89,144,169,233,377; W1 SMAs 12,26,50,100,200 (4 TFs x 5 MAs x 4 types)
- +1 extra MA type/timeframe for BB
There are several versions: Simple, MTF, Pro MTF, Advanced MTF and Ultimate MTF. This is the Advanced MTF version. The Differences are listed below. All versions have BB
- Simple: you have 2 groups of MAs that can be assigned any type (5+5)
- MTF: +2 custom Timeframes for each group (2x5 MTF) +1 TF for BB, TF XY smoothing
- Pro MTF: 4 custom Timeframes for each group (4x3 MTF), 1 TF for BB, MA levels and show max bars back options
- Advanced MTF: +2 extra MAs/group (4x5 MTF), custom Ticker/Symbols, Timeframe <>= filter, Remove Duplicates Option
- Ultimate MTF: +individual settings for each MA, custom Ticker/Symbols
Features:
- 4x5 = 20 MAs of any type
- 4x MTF groups with XY step line smoothing
- +1 extra TF/type for BB MAs
- 4x5 = 20 MA levels with adjustable group offsets, indents and shift
- supports any existing type of MA: SMA, EMA, WMA, Hull Moving Average (HMA)
- custom tickers/symbols for each group - you can compare MAs of the same symbol across exchanges
- show max bars back option
- show/hide both groups of MAs/levels/BB and individual MAs
- timeframe filter: show only MAs/Levels with TFs <>= Current TF
- hide MAs/Levels with duplicate TFs
- support for custom TFs that are not available in free accounts: 2D, 3D etc
- support for timeframes in H: H, 2H, 4H etc
Notes:
- Uses timeframe textbox instead of input resolution dropdown to allow for 240 120 and other custom TFs
- Uses symbol textbox instead of input symbol to avoid establishing multiple dummy security connections to the current ticker - otherwise empty symbols will prevent script from running
- Possible reasons for missing MAs on a chart:
- there may not be enough bars in history to start plotting it. For example, W1 EMA200 needs at least 200 bars on a weekly chart.
- price << default Y smoothing step 5. For charts with low/fractional prices (i.e. 0.00002 << 5) adjust X Y smoothing as needed (set Y = 0.0000001) or disable it completely (set X,Y to 0,0)
- TradingView Replay Mode UI and Pinescript security calls are limited to TFs >= D (D,2D,W,MN...) for free accounts
- attempting to plot any TF < D1 in Replay Mode will only result in straight lines, but all TFs will work properly in history and real-time modes. This is not a bug.
- Max Bars Back (num_bars) is limited to 5000 for free accounts (10000 for paid), will show error when exceeded. To plot on all available history set to 0 (default)
- Slow load/redraw times. This indicator becomes slower, its UI less responsive when:
- Pinescript Node.js graphics library is too slow and inefficient at plotting bars/objects in a browser window. Code optimization doesn't help much - the graphics engine is the main reason for general slowness.
- the chart has a long history (10000+ bars) in a browser's cache (you have scrolled back a couple of screens in a max zoom mode).
- Reload the page/Load a fresh chart and then apply the indicator or
- Switch to another Timeframe (old TF history will still remain in cache and that TF will be slow)
- in max possible zoom mode around 4500 bars can fit on 1 screen - this also slows down responsiveness. Reset Zoom level
- initial load and redraw times after a param change in UI also depend on TF. For example:
D1/W1 - 2 sec, H1/H4 - 5-6 sec, M30 - 10 sec, M15/M5 - 4 sec, M1 - 5 sec.
M30 usually has the longest history (up to 16000 bars) and W1 - the shortest (1000 bars).
- when indicator uses more MAs (plots) and timeframes it will redraw slower. Seems that up to 5 Timeframes is acceptable, but 6+ Timeframes can become very slow.
- show_last=last_bars plot limit doesn't affect load/redraw times, so it was removed from MA plot
- Max Bars Back (num_bars) default/custom set UI value doesn't seem to affect load/redraw times
- In max zoom mode all dynamic levels disappear (they behave like text)
1. based on 3EmaBB, uses plot*, barssince and security functions
2. you can't set certain constants from input due to Pinescript limitations - change the code as needed, recompile and use as a private version
3. Levels = trackprice implementation
4. Show Max Bars Back = show_last implementation
5. swma has a fixed length = 4, alma and linreg have additional offset and smoothing params
6. Smoothing is applied by default for visual aesthetics on MTF. To use exact ma mtf values (lines with stair stepping) - disable it
Good Luck! You can explore, modify/reuse the code to build your own indicators.
IO_Heikin-Ashi OverlayThis is Traditional Heikin-Ashi bars overlayed with regular candlestick/any chart type
Although HA is available in TradingView by default, this script is to recalculate HA by traditional calculations.
This version REPAINTS!! This is because Traditional HA uses Close Price (which is calculated on the fly).
-- Invsto
Adaptive Zero Lag EMA [STUDY]A user has asked for the Study/Indicator version of this Strategy .
If you encounter the error "loop....>100ms" simply toggle the eye icon to hide and unhide the indicator
The following is simply quoted from my previous post for your convenience: (obviously there won't be risk, Stop Loss, or Take profit parameters!)
OPERATING PRINCIPLE
The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes.
In fact, I'm using his Zero Lag EMA ( ZLEMA ) as a baseline indicator as well as some code snippets he has made public (1). God bless open source!
Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2)
I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy.
The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5)
BEFORE WE BEGIN
1. This strategy only runs on "normal" FX pairs ( EURUSD , GBPJPY , AUDUSD ...) and will fail on Metals or Commodities.
Cryptos are largely untested.
2. Please run it on these time frames: M15 to D.
Anything outside this range will likely fail.
HOW TO USE AND SUCCEED
1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01.
2. Test each setting under adaptive method. If you want to leave it Off, then I'd recommend using some kind of IFM (see my links below) to
discover the most efficient period to use.
3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor ( PF ) and drawdown.
4. Now, begin incrementing threshold. The goal is to have PF above 2 and a drawdown as low as possible.
5. Finally, change the source! Typically, close is the best option, but I have run into cases where high
yielded the highest returns and win rate.
6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts.
ADVANCED
You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor
results if the TP is set to 300 and SL is 50.
If you are trading a pair that has a long Dominant Cycle Period, then you may increase Max Period to allow the IFM
to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time!
Cheers and good luck trading!
-DasanC
(1)www.mesasoftware.com
(2)www.jamesgoulding.com
(3) Cosine IFM
(4) I-Q IFM
(5) Averaging IFM
IFM stands for Instantaneous frequency measurement
Adaptive Zero Lag EMA v2This is my most successful strategy to date! Please enjoy and join the Open Source movement by sharing your code and ideas online!
OPERATING PRINCIPLE
The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes.
In fact, I'm using his Zero Lag EMA (ZLEMA) as a baseline indicator as well as some code snippets he has made public (1). God bless open source!
Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2)
I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy.
The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5)
BEFORE WE BEGIN
1. This strategy only runs on "normal" FX pairs (EURUSD, GBPJPY, AUDUSD ...) and will fail on Metals or Commodities.
Cryptos are largely untested.
2. Please run it on these time frames: M15 to D.
Anything outside this range will likely fail.
HOW TO USE AND SUCCEED
1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01.
2. Test each setting under adaptive method . If you want to leave it Off , then I'd recommend using some kind of IFM (see my links below) to
discover the most efficient period to use.
3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor (PF) and drawdown.
4. Now, begin incrementing threshold . The goal is to have PF above 2 and a drawdown as low as possible.
5. Finally, change the source ! Typically, close is the best option, but I have run into cases where high
yielded the highest returns and win rate.
6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts.
ADVANCED
You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor
results if the TP is set to 300 and SL is 50.
If you are trading a pair that has a long Dominant Cycle Period , then you may increase Max Period to allow the IFM
to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time!
Cheers and good luck trading!
-DasanC
PS - This code doesn't repaint or have future-leak, which was present in Pinescript v2.
PPS - Believe me! These returns are typical! Sometimes you must push aside the "if it's too good to be true..." mindset that society has ingrained in you.
Do you really believe the most successful pass up opportunities before investigating them? ;)
(1) Ehlers & Ric Zero Lag EMA
(2) Measuring Cycles by Ehlers
(3) Cosine IFM
(4) Inphase Quadrature IFM
(5) Averaging IFM
Multiple MACD RSI simple strategySimple strategy script I've had for a while but looks like I never published.
Although it is one of my most simple it seems to have the best profitability. It is pretty rough though. the Stoch RSI has only a little weight to the trade trigger. I'll refine it more over time or you can by all means. Basically the Stoch RSI current K line has to be OVER 40 to trigger a SELL. It has no effect on buy side.
The triggers are roughly as follows:
Year - since so many assets have gone 2x, 3x, 10x+ since 2013 having a strategy that earns a 500% return from 2013 to now isn't that good if buy-and-holding would have got you 800%. This eliminates some of that noise and makes it a little easier to quickly gauge success. So buy/sell trigger need a value of greater or equal to 2018 (default)
MACD 1 - First MACD (short) needs to indicate greater than 0 to buy or less than 0 to sell.
MACD 2 - Same as MACD1 but for second MACD set (long)
Uptrend - Latest close + high divided by last periods close + high needs to be grater than 1. So if latest is 34.30 close and 34.60 high and previous interval is 34.80 close and 34.82 high, that is 0.99 and will not trigger a buy trade.
Downtrend - Same thing but close + low and less than 1.
This script/strategy is pretty rough but if there is interest I'll polish it more since it is a pretty solid but simple strategy for most assets.
