TrapFrames (Stocks)TrapFrames (Stocks) is the Stock version of Trapframes that is the table chart from Traplight that showed the current values for a symbol for Traplight and Kriss/Kross, but cranked up to 11! You can select from a large list of stocks to create a dashboard-like view of your favorite symbols. So that you can "Check the Weather" so to speak. This is mainly to be used as a companion indicator to Traplight. So, that you can find which of your symbols looks interesting, and delve more deeply into them on an individual basis from there.
在腳本中搜尋"deep股票代码"
TrapFramesTrapFrames is the table chart from Traplight that showed the current values for a symbol for Traplight and Kriss/Kross, but cranked up to 11! You can select from a large list of pairs/indexes to create a dashboard-like view of your favorite symbols. So that you can "Check the Weather" so to speak. This is mainly to be used as a companion indicator to Traplight. So, that you can find which of your symbols looks interesting, and delve more deeply into them on an individual basis from there.
Lyapunov Hodrick-Prescott Oscillator w/ DSL [Loxx]Lyapunov Hodrick-Prescott Oscillator w/ DSL is a Hodrick-Prescott Channel Filter that is modified using the Lyapunov stability algorithm to turn the filter into an oscillator. Signals are created using Discontinued Signal Lines.
What is the Lyapunov Stability?
As soon as scientists realized that the evolution of physical systems can be described in terms of mathematical equations, the stability of the various dynamical regimes was recognized as a matter of primary importance. The interest for this question was not only motivated by general curiosity, but also by the need to know, in the XIX century, to what extent the behavior of suitable mechanical devices remains unchanged, once their configuration has been perturbed. As a result, illustrious scientists such as Lagrange, Poisson, Maxwell and others deeply thought about ways of quantifying the stability both in general and specific contexts. The first exact definition of stability was given by the Russian mathematician Aleksandr Lyapunov who addressed the problem in his PhD Thesis in 1892, where he introduced two methods, the first of which is based on the linearization of the equations of motion and has originated what has later been termed Lyapunov exponents (LE). (Lyapunov 1992)
The interest in it suddenly skyrocketed during the Cold War period when the so-called "Second Method of Lyapunov" (see below) was found to be applicable to the stability of aerospace guidance systems which typically contain strong nonlinearities not treatable by other methods. A large number of publications appeared then and since in the control and systems literature. More recently the concept of the Lyapunov exponent (related to Lyapunov's First Method of discussing stability) has received wide interest in connection with chaos theory . Lyapunov stability methods have also been applied to finding equilibrium solutions in traffic assignment problems.
In practice, Lyapunov exponents can be computed by exploiting the natural tendency of an n-dimensional volume to align along the n most expanding subspace. From the expansion rate of an n-dimensional volume, one obtains the sum of the n largest Lyapunov exponents. Altogether, the procedure requires evolving n linearly independent perturbations and one is faced with the problem that all vectors tend to align along the same direction. However, as shown in the late '70s, this numerical instability can be counterbalanced by orthonormalizing the vectors with the help of the Gram-Schmidt procedure (Benettin et al. 1980, Shimada and Nagashima 1979) (or, equivalently with a QR decomposition). As a result, the LE λi, naturally ordered from the largest to the most negative one, can be computed: they are altogether referred to as the Lyapunov spectrum.
The Lyapunov exponent "λ" , is useful for distinguishing among the various types of orbits. It works for discrete as well as continuous systems.
λ < 0
The orbit attracts to a stable fixed point or stable periodic orbit. Negative Lyapunov exponents are characteristic of dissipative or non-conservative systems (the damped harmonic oscillator for instance). Such systems exhibit asymptotic stability; the more negative the exponent, the greater the stability. Superstable fixed points and superstable periodic points have a Lyapunov exponent of λ = −∞. This is something akin to a critically damped oscillator in that the system heads towards its equilibrium point as quickly as possible.
λ = 0
The orbit is a neutral fixed point (or an eventually fixed point). A Lyapunov exponent of zero indicates that the system is in some sort of steady state mode. A physical system with this exponent is conservative. Such systems exhibit Lyapunov stability. Take the case of two identical simple harmonic oscillators with different amplitudes. Because the frequency is independent of the amplitude, a phase portrait of the two oscillators would be a pair of concentric circles. The orbits in this situation would maintain a constant separation, like two flecks of dust fixed in place on a rotating record.
λ > 0
The orbit is unstable and chaotic. Nearby points, no matter how close, will diverge to any arbitrary separation. All neighborhoods in the phase space will eventually be visited. These points are said to be unstable. For a discrete system, the orbits will look like snow on a television set. This does not preclude any organization as a pattern may emerge. Thus the snow may be a bit lumpy. For a continuous system, the phase space would be a tangled sea of wavy lines like a pot of spaghetti. A physical example can be found in Brownian motion. Although the system is deterministic, there is no order to the orbit that ensues.
For our purposes here, we transform the HP by applying Lyapunov Stability as follows:
output = math.log(math.abs(HP / HP ))
You can read more about Lyapunov Stability here: Measuring Chaos
What is. the Hodrick-Prescott Filter?
The Hodrick-Prescott (HP) filter refers to a data-smoothing technique. The HP filter is commonly applied during analysis to remove short-term fluctuations associated with the business cycle. Removal of these short-term fluctuations reveals long-term trends.
The Hodrick-Prescott (HP) filter is a tool commonly used in macroeconomics. It is named after economists Robert Hodrick and Edward Prescott who first popularized this filter in economics in the 1990s. Hodrick was an economist who specialized in international finance. Prescott won the Nobel Memorial Prize, sharing it with another economist for their research in macroeconomics.
This filter determines the long-term trend of a time series by discounting the importance of short-term price fluctuations. In practice, the filter is used to smooth and detrend the Conference Board's Help Wanted Index (HWI) so it can be benchmarked against the Bureau of Labor Statistic's (BLS) JOLTS, an economic data series that may more accurately measure job vacancies in the U.S.
The HP filter is one of the most widely used tools in macroeconomic analysis. It tends to have favorable results if the noise is distributed normally, and when the analysis being conducted is historical.
What are DSL Discontinued Signal Line?
A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made.
Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator.
"Signal" line is calculated the following way :
When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line
When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level
This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods.
In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level.
Included:
Bar coloring
Alerts
Signals
Loxx's Expanded Source Types
Intraday Background Time RangesThis simple script was written for studying recurring intraday behaviours of financial instruments. With it, you can highlight up to 13 customizable time ranges on your chart, filling the corresponding background space with colors you prefer. You can then write a note for each range and it will be shown in the optional related table.
The experience shows that every financial instrument has its own personality. With this in mind, the script can be useful to study intraday charts with the purpose of discovering recurring behaviours of specific instruments over a certain time range and under specific circumstances (normal days, earnings days, days with catalysts, etc.) This can help the trader to deeply understand the instrument personality, and therefore also to decide whether to enter or exit the market if its behaviour meets or not his expectations.
Please note that this script only works on minute/hourly charts.
LTF -> HTF volume delta Up/DownThis script derives from my previous Educational LTF -> HTF volume delta script.
Total volume is displayed as columns in the background.
With request.security_lower_tf() we get data from a lower timeframe.
In this case, volume, which is placed in an 'up-array' when the 'lower timeframe close' > 'lower timeframe open',
or in an 'down-array' when the 'lower timeframe close' < 'lower timeframe open'.
This is displayed here as 2 (red/green) lines
When you're at a chart timeframe (Higher timeframe), lower than Daily, the lower timeframe is automatically 50x smaller than the higher timeframe.
Example D = 1440 minutes -> divided by 50 = 28.8 or rounded a lower timeframe of 29 minutes
When this number is below 1, it will take the '1 minute timeframe' as lower timeframe
If the higher timeframe chart is Daily or higher, a 'x minute-lower timeframe' chart is calculated from the timeframe.multiplier multiplied by 25,
for example a 2D higher timeframe will do the 'lower timeframe calculations' with a 50 minute TF (25 * 2 'D')
Looking at for example BTC on the Daily higher timeframe, some interesting observations can be done when looking at the 'spikes'
This script doesn't have build in arrows, it is merely made to give some stimulation,
and hopefully some of you can work further on this technique, because I think it is very promising!
I want to thank Tradingview very deeply, why?
Just so many reasons, development, moderation, organisation, helpdesk, ...
The amount of work they are doing is incredible!
Triple ThreatThis indicator provides buy and sell signals for Bitcoin based on confluence from well-known momentum, volatility, and trend indicators. It has successfully captured the major directional trends on Bitcoin's daily chart since 2018, and the settings are currently optimized for this chart in particular. This indicator implements RSI to gauge momentum, BBWP to gauge volatility, and an EMA to gauge trend. Maximum confluence signals are represented by horizontal bars in the indicator's pane, where the tallest green bar is a confirmed buy signal, and the tallest red bar is a confirmed sell signal. The shortest bar represents a momentum-only signal, and the second-shortest bar represents a volatility signal in confluence with the previously given momentum signal.
To track momentum, the RSI is plotted to the indicator plane against a moving average of the RSI. A momentum signal is generated when the RSI crosses over its moving average, retests/approaches the moving average, and then continues in the crossover direction (i.e., it fails to cross the moving average to the opposite side, creating a successful retest). The settings that affect this trigger are the "Crossover Threshold," which specifies how much the RSI should exceed the moving average to be considered a crossover, and the "Retest threshold," which specifies how closely the RSI should approach the moving average to be considered a retest. A momentum signal is ALSO generated if the RSI or its moving average exceed their counterpart by a certain threshold. For example, if the threshold was set at 10, a BUY signal would be generated when the RSI exceeds the moving average by 10, or a SELL signal would be generated when the moving average exceeds the RSI by 10. This threshold can be set using the "Instant Signal Threshold" setting. Either type of momentum signal will be plotted on the pane as the shortest horizontal bar, with its color indicating the signal's direction.
Volatility is primarily measured using the Bollinger Band Width Percentile (BBWP) indicator, which was created by The_Caretaker. BBWP plots the volatility of the asset's price, given by Bollinger Band width, relative to past volatility by assigning the volatility readings into percentiles. The indicator also includes a moving average of the BBWP itself, where a crossover to the upside represents expanding volatility and a crossover to the downside represents contracting volatility. This indicator is used to confirm a signal given by the momentum indicators - a momentum signal that is given during a period of expanding volatility has a greater likelihood of success. Therefore, when the BBWP crosses above its moving average by a given threshold, a previously triggered momentum signal is considered to be "confirmed." The threshold for this crossover can be set using the "BBWP Confirmation Threshold" setting. However, it is also relevant that periods of extreme volatility often accompany an extremity in price action (a "top" or "bottom"), in which case the BBWP is likely to contract after price reaches such an extremity. This phenomenon is captured by also using "extreme reads" on the momentum indicator to signal that there has already been enough volatility to confirm a momentum signal. If the RSI gives an "extreme read" before triggering a signal, the momentum signal is also considered to be confirmed. For example, if the RSI is above 80, breaks below 80, and then gives a SELL signal, this sell signal is considered to be confirmed without requiring the BBWP to crossover its moving average to the upside. The threshold that would confirm a SELL signal can be set with the "Overbought" setting, and the threshold that would confirm a BUY signal can be set with the "Oversold" setting. Whenever a volatility signal confirms a momentum signal, a medium-sized horizontal bar will be plotted on the pane in the same directional color as the momentum signal. Note that a momentum signal may trigger at the exact same time as the volatility signal which confirms it; in this case, only the medium-sized bar will be visible on the pane, but its direction can still be identified by its color.
Lastly, to reduce the likelihood of "false signals," a trend indicator is used to confirm the direction of the signal. This is typically an exponential moving average. If a confirmed volatility SELL signal is given, and the closing price is below the moving average, then the SELL signal is also confirmed by the trend. Likewise, if a confirmed volatility BUY signal is given, and the closing price is above the moving average, then the BUY signal is confirmed by the trend. The type and length of the moving average used to verify the trend can be set using the "Moving Average Type" and "Moving Average Length" settings found below the momentum/volatility settings. A trend signal is plotted on the pane as a tall horizontal bar, and is more deeply colored than the momentum and volatility signals.
For maximum confluence, it is recommended that the trend signal, given by the tallest bar, is the one that forms the basis of trades executed while using the Triple Threat indicator. It is possible to enter more aggressive trades with better entries by using only the volatility signal, given by the medium-sized bar, however this entails greater risk and should only be done in confluence with an additional trading strategy of your own discretion. Backtesting has shown that using the volatility signal alone underperforms using the volatility signal in confluence with the trend signal.
Please also be advised that the default setting are optimized for Bitcoin's daily chart only. The indicator is still applicable to other timeframes and asset classes, but the settings may need to be modified. I have a list of settings for other Bitcoin timeframes, and I would be happy to share them upon request.
I hope you can find this indicator to be of some use to your trading strategies. I'd be happy to hear any feedback from the community, so please don't hesitate to reach out. Stay safe, and happy trading.
XABCD Harmonic Pattern Custom Range Interactive█ OVERVIEW
This indicator was designed based on Harmonic Pattern Book written by Scott Carney. It was simplified to user who may always used tools such as XABCD Pattern and Long Position / Short Position, which consume a lot of time, recommended for both beginner and expert of Harmonic Pattern Traders. XABCD Pattern require tool usage of Magnet tool either Strong Magnet, Week Magnet or none, which cause error or human mistake especially daily practice.
Simplified Guideline by sequence for Harmonic Pattern if using manual tools :
Step 1 : Trade Identification - XABCD Pattern
Step 2 : Trade Execution - Any manual tools of your choice
Step 3 : Trade Management - Position / Short Position
█ INSPIRATION
Inspired by design, code and usage of CAGR. Basic usage of custom range / interactive, pretty much explained here . Credits to TradingView.
I use a lot of XABCD Pattern and Long Position / Short Position, require 5 to 10 minutes on average, upon determine the validity of harmonic pattern.
Upon creating this indicator, I believed that time can be reduced, gain more confidence, reduce error during drawing XABCD, which helps most of harmonic pattern users.
█ FEATURES
Table can positioned by any postion and font size can be resized.
Table can be display through optimized display or manual control.
Validility of harmonic pattern depends on BC ratio.
Harmonic pattern can be displayed fully or optimized while showing BC ratio validity.
Trade Execution at point D can be displayed on / off.
Stop Loss and Take Profit can be calculated automatically or manually.
Optimized table display based extend line setup and profit and loss setup.
Execution zone can be offset to Point C, by default using Point D.
Currency can be show or hide.
Profit and Loss can be displayed on axis once line is extended.
█ HOW TO USE
Step 1 : Trade Identification - Draw points from Point X to Point C. Dont worry about magnet, point will attached depends on High or Low of the candle.
Step 2 : Trade Execution - Check the validity of BC to determine the validity of harmonic pattern generated. Pattern only generate 1 pattern upon success. Otherwise, redraw to other points.
Step 3 : Trade Management - Determine the current candle either reach Point D or Potential Reversal Zone (PRZ). Check for Profit & Loss once reach PRZ.
█ USAGE LIMITATIONS
Harmonic Patterns only limits to patterns mentioned in Harmonic Trading Volume 3 due to other pattern may have other or different philosophy.
Only can be used for Daily timeframe and below due to bar_time is based on minutes by default.
Not recommended for Weekly and Monthly timeframe.
If Point X, A, B, C and D is next to each other, it is recommend to use lower timeframe.
Automated alert is not supported for this release. However, alert can be done manually. Alert will updated on the version.
█ PINE SCRIPT LIMITATIONS
Known bug for when calculate time in array, causing label may not appeared or offset.
Unable to convert to library due to usage of array.get(). I prefer usage for a combination of array.get(id, 0), array.get(id, 1), array.get(id, 2) into custom function, however I faced this issue during make arrays of label. Index can be simply refered as int, for id, i not sure, already try id refered as simple, nothing happens.
linefill.new() will appeared as diamond box if overused.
Text in box.new() unable to use ternary condition or switch to change color. Bgcolor also affected.
Label display is larger than XABCD tool. Hopefully in future, have function to resize label similar to XABCD tools.
█ IMPORTANTS
Trade Management (Profit & Loss) is calculated from Point A to D.
Take Profit is calculated based on ratio 0.382 and 0.618 of Point A to D.
Always check BC validity before proceed to Trade Management.
Length of XABCD is equal to XAB plus BCD, where XAB and BCD are one to one ratio. Length is measured in time.
Use other oscillator to countercheck. Normally use built-in Relative Strength Index (RSI) and Divergence Indicator to determine starting point of Point X and A.
█ HARMONIC PATTERNS SUPPORTED
// Credits to Scott M Carney, author of Harmonic Trading Volume 3: Reaction vs. Reversal
Alt Bat - Page 101
Bat - Page 98
Crab - Page 104
Gartley - Page 92
Butterfly - Page 113
Deep Crab - Page 107
Shark - Page 119 - 220
█ FAQ
Pattern such as 5-0, perfect XABCD and ABCD that not included, will updated on either next version or new release.
Point D time is for approximation only, not including holidays and extended session.
Basic explaination for Harmonic Trading System (Trade Identification, Trade Execution and Trade Management).
Harmonic Patterns values is pretty much summarized here including Stop Loss.
Basic explanation for Alt Bat, Bat, Crab, Gartley, Deep Crab and Butterfly.
█ USAGE / TIPS EXAMPLES (Description explained in each image)
+ Breadth & Volumenote* If you've used my "+ Rate of Change Indicator", I am updating that without the OBV, which has been moved here. Just an FYI.
This "indicator" is basically a variety of indicators that measure volume, or accumulation/distribution. There's a bit of a story about how this came about but
it's not that interesting, so I'll spare you.
Indicators from which you may choose here are On Balance Volume (OBV), Money Flow Index (MFI), Chaikin Money Flow (CMF), Chaikin Oscillator, and Positive & Negative Net Volume.
I'll give a brief overview of these below, and if you want to educate yourself further on them you may. There are many web resources for that.
Most people are probably familiar with OBV. It's one of the more commonly used volume indicators, especially in the crypto crowd (at least amongst those traders I follow). It's basically a cumulative (doesn't oscillate around a midpoint) momentum indicator that measures volume of the current period versus volume of the previous period and adds it if price closed higher, but subtracts it if price closes lower. It's another way of using volume to confirm trend.
The MFI is a momentum indicator that measures the flow of money into and out of an asset over some period of time (user input). It's calculated using the RSI, so it can be used similarly to RSI (divergences, overbought, oversold, etc.), but of course unlike the RSI it's calculated primarily using volume and comparing the most recent candle close to the previous one (similar to OBV).
CMF is a volume-weighted average of accumulation and distribution over a some period of time (typically 21). It's a way of measuring accumulation versus
distribution in an asset, and oscillates around a zero line. You would use it similarly to any other oscillator, in that you can look for divergences, and general positive or negative momentum.
Chaikin Oscillator is basically a MACD (without signal line) of the accumulation and distribution index (or line--which is somehow different than simply accumulation and distribution). I haven't looked into these differences deeply, but if you look below at the calculations, and substituted 'ad' for 'accdist' you get very different readings. I actually did that, and what it looks like it would do is turn the actual Oscillator into a MACD signal line. So, by substituting 'ad' for 'accdist' (or the accumulation/distribution index) you produce a signal line of the Chaikin Oscillator.
Anyway, all that confusion out of the way, as I said, it's a MACD on the accumulation and distribution index, therefore it is another zero line oscillator, and similarly to CMF, it's a way of measuring price movements in the chart versus a/d. The zero line isn't just any old zero line, however, it is actually the accumulation distribution line. I've made an OBV version of this by substituting the OBV for AD, so if you prefer OBV maybe you will like that.
Pos. & Neg Net Volume is actually an indicator I had seen made by RafaelZioni. It basically takes net volume, calculates a cumulative of that, then subtracts a moving average of some period from the cumulative net volume in order to create a volume oscillator. Use it like the other oscillators!
Added Donchian Channels, moving averages, Bollinger Bands, colored everything, and alerts.
Enjoy!
Below I will post images with the different indicators, everything on default settings (except for lookback period, which I have adjusted to my personal preferences).
Above is an image with the MFI being compared to the RSI since they are very similar (MFI being basically a volume derivative of the RSI).
Chaikin Money Flow set to lookback of 13. You could probably extend that a bit if you wanted to smooth the line more.
Chaikin Oscillator and Chaikin Oscillator of OBV, with a zoomed in look below, to see the differences more clearly.
CO and COBV closer look.
Positive & Negative Net Volume.
Volume X-ray [LucF]█ OVERVIEW
This tool analyzes the relative size of volume reported on intraday vs EOD (end of day) data feeds on historical bars. If you use volume data to make trading decisions, it can help you improve your understanding of its nature and quality, which is especially important if you trade on intraday timeframes.
I often mention, when discussing volume analysis, how it's important for traders to understand the volume data they are using: where it originates, what it includes and does not include. By helping you spot sizeable differences between volume reported on intraday and EOD data feeds for any given instrument, "Volume X-ray" can point you to instruments where you might want to research the causes of the difference.
█ CONCEPTS
The information used to build a chart's historical bars originates from data providers (exchanges, brokers, etc.) who often maintain distinct historical feeds for intraday and EOD timeframes. How volume data is assembled for intraday and EOD feeds varies with instruments, brokers and exchanges. Variations between the two feeds — or their absence — can be due to how instruments are traded in a particular sector and/or the volume reporting policy for the feeds you are using. Instruments from crypto and forex markets, for example, will often display similar volume on both feeds. Stocks will often display variations because block trades or other types of trades may not be included in their intraday volume data. Futures will also typically display variations. It is even possible that volume from different feeds may not be of the same nature, as you can get trade volume (market volume) on one feed and tick volume (transaction counts) on another. You will sometimes be able to find the details of what different feeds contain from the technical information provided by exchanges/brokers on their feeds. This is an example for the NASDAQ feeds . Once you determine which feeds you are using, you can look for the reporting specs for that feed. This is all research you will need to do on your own; "Volume X-ray" will not help you with that part.
You may elect to forego the deep dive in feed information and simply rely on the figure the indicator will calculate for the instruments you trade. One simple — and unproven — way to interpret "Volume X-ray" values is to infer that instruments with larger percentages of intraday/EOD volume ratios are more "democratic" because at intraday timeframes, you are seeing a greater proportion of the actual traded volume for the instrument. This could conceivably lead one to conclude that such volume data is more reliable than on an instrument where intraday volume accounts for only 3% of EOD volume, let's say.
Note that as intraday vs EOD variations exist for historical bars on some instruments, there will typically also be differences between the realtime feeds used on intraday vs 1D or greater timeframes for those same assets. Realtime reporting rules will often be different from historical feed reporting rules, so variations between realtime feeds will often be different from the variations between historical feeds for the same instrument. A deep dive in reporting rules will quickly reveal what a jungle they are for some instruments, yet it is the only way to really understand the volume information our charts display.
█ HOW TO USE IT
The script is very simple and has no inputs. Just add it to 1D charts and it will calculate the proportion of volume reported on the intraday feed over the EOD volume. The plots show the daily values for both volumes: the teal area is the EOD volume, the orange line is the intraday volume. A value representing the average, cumulative intraday/EOD volume percentage for the chart is displayed in the upper-right corner. Its background color changes with the percentage, with brightness levels proportional to the percentage for both the bull color (% >= 50) or the bear color (% < 50). When abnormal conditions are detected, such as missing volume of one kind or the other, a yellow background is used.
Daily and cumulative values are displayed in indicator values and the Data Window.
The indicator loads in a pane, but you can also use it in overlay mode by moving it on the chart with "Move to" in the script's "More" menu, and disabling the plot display from the "Settings/Style" tab.
█ LIMITATIONS
• The script will not run on timeframes >1D because it cannot produce useful values on them.
• The calculation of the cumulative average will vary on different intraday timeframes because of the varying number of days covered by the dataset.
Variations can also occur because of irregularities in reported volume data. That is the reason I recommend using it on 1D charts.
• The script only calculates on historical bars because in real time there is no distinction between intraday and EOD feeds.
• You will see plenty of special cases if you use the indicator on a variety of instruments:
• Some instruments have no intraday volume, while on others it's the opposite.
• Missing information will sometimes appear here and there on datasets.
• Some instruments have higher intraday than EOD volume.
Please do not ask me the reasons for these anomalies; it's your responsibility to find them. I supply a tool that will spot the anomalies for you — nothing more.
█ FOR PINE CODERS
• This script uses a little-known feature of request.security() , which allows us to specify `"1440"` for the `timeframe` argument.
When you do, data from the 1min intrabars of the historical intraday feed is aggregated over one day, as opposed to the usual EOD feed used with `"D"`.
• I use gaps on my request.security() calls. This is useful because at intraday timeframes I can cumulate non- na values only.
• I use fixnan() on some values. For those who don't know about it yet, it eliminates na values from a series, just like not using gaps will do in a request.security() call.
• I like how the new switch structure makes for more readable code than equivalent if structures.
• I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual.
• I use the new runtime.error() to throw an error when the script user tries to use a timeframe >1D.
Why? Because then, my request.security() calls would be returning values from the last 1D intrabar of the dilation of the, let's say, 1W chart bar.
This of course would be of no use whatsoever — and misleading. I encourage all Pine coders fetching HTF data to protect their script users in the same way.
As tool builders, it is our responsibility to shield unsuspecting users of our scripts from contexts where our calcs produce invalid results.
• While we're on the subject of accessing intrabar timeframes, I will add this to the intention of coders falling victim to what appears to be
a new misconception where the mere fact of using intrabar timeframes with request.security() is believed to provide some sort of edge.
This is a fallacy unless you are sending down functions specifically designed to mine values from request.security() 's intrabar context.
These coders do not seem to realize that:
• They are only retrieving information from the last intrabar of the chart bar.
• The already flawed behavior of their scripts on historical bars will not improve on realtime bars. It will actually worsen because in real time,
intrabars are not yet ordered sequentially as they are on historical bars.
• Alerts or strategy orders using intrabar information acquired through request.security() will be using flawed logic and data most of the time.
The situation reminds me of the mania where using Heikin-Ashi charts to backtest was all the rage because it produced magnificent — and flawed — results.
Trading is difficult enough when doing the right things; I hate to see traders infected by lethal beliefs.
Strive to sharpen your "herd immunity", as Lionel Shriver calls it. She also writes: "Be leery of orthodoxy. Hold back from shared cultural enthusiasms."
Be your own trader.
█ THANKS
This indicator would not exist without the invaluable insights from Tim, a member of the Pine team. Thanks Tim!
Multi-Length Stochastic Average [LuxAlgo]This indicator returns the average of stochastic oscillators with periods ranging from 4 to length . This allows for a slightly more reactive oscillator as well as having information regarding the position of the price relative to rolling maximums/minimums of different periods.
We introduce settings that allow for pre and post-smoothing, with selectable smoothing methods and periods for both steps.
Settings
Length: Period of the indicator, determine the maximum period of the stochastic oscillator used in the average
Source: Source input of the indicator
Pre-Smoothing (1st Input): Degree of smoothing applied to the source input
Pre-Smoothing (2nd Input): Pre-Smoothing Method
Post-Smoothing (1st Input): Degree of smoothing applied to the final oscillator output
Post-Smoothing (2nd Input): Post-Smoothing Method
Smoothing methods include a simple moving average, a triangular moving average, and a least-squares moving average (this method can induce overshoots during the post-smoothing step). The user can also select "None".
Usages
The "multi-length" aspect of technical indicators is something that hasn't been deeply explored yet such indicators can give us information regarding both short-term and long-term information which was the motivation for the creation of the indicator.
The Multi-length Stochastic Average allows us to quantify the price position relative to a multitude of highest/lowest levels.
In the example above the oscillator returns the average of stochastic oscillators with periods ranging from 4 to 20, as well as multiple rolling minimums with periods ranging from 4 to 20. We can see that when the price is equal to all rolling minimums the oscillator is equal to 0, the oscillator would return 100 if the price were equal to all rolling maximums with periods in that same range.
The oscillator can be interpreted like any scaled oscillator and can be used to estimate trend direction as well as trend strength.
Here we only make of use pre-smoothing by using a period 20 simple moving average. The indicator graphical elements such as colors/circles can help us determine potential directions trends might take.
Circles are displayed when the oscillator crosses over/under the 20/80 level. Such conditions offer better timing than waiting for the oscillator to be greater/lower than 50 and are less subjective to noise than simply looking at the direction taken by the oscillator. However, it can suffer from potential retracements in a trend more easily, this is illustrated in the chart above.
RSI CCI Correlating Oscillator (RCCO) by empowerTRCCO is pronounced "ree-koh" or "rico".
The RCCO is simply the plot of the values of both the RSI and CCI added together.
The RCCO makes some adjustments though, so that both the RSI and the CCI will fit correctly on the same scale - and so that these adjustments for scale allow reversals to be detected at crossings.
When the CCI crosses from underneath to up above the RSI, this is usually a bullish reversal. Alternatively, when the CCI crosses from above to back under the RSI, that usually signals a bearish trend. Look for the widest swings you can find to ensure good momentum. The larger the volume, the clearer and more decisive the trends. Low volume will lead to ranging and lazy momentum. High volume will create clear and forceful trends. The lowest negative RCCO in a timeframe, and then add some high volume... and you have yourself a good setup for a successful trade.
Because the RSI and CCI are adjusted, you may not recognize their values from having used the respective indicators on their own. The RSI and CCI values are less important. What matters with this indicator are the crossings and the RCCO value. The RCCO value should be negative, preferably, a deeply negative value. Look at the historical chart for the target per your selected timeframe and decide what values work for you.
I hope you enjoy the RCCO and that it can help you become a little más RICO!
RSI band with Signal alert//th/en
//th
สวัสดีครับท่านสมาชิก
ก่อนอื่นต้องขอเกริ่นก่อนเลยว่า Indicator ตัวนี้ถูกสร้างขึ้นมาบนพื้นฐานของ RSI จริง เพียงแต่ใช้ค่า EMA27 ในการสร้าง เนื่องจากผมยังไม่สามารถเขียน RSI band ที่โยงกับราคาได้ในส่วนนี้เองได้
แต่ทั้งนี้ขอให้ท่านใจเย็น ๆ และฟังผมสักหน่อย เนื่องจากก่อนหน้านี้ผมได้สังเกตเห็นว่า EMA27 นั้นมีค่าเท่ากับ RSI14 ที่ค่า 50 พอดี ดังนั้นผมจึงเลือกที่จะสร้างมันขึ้นมาด้วย EMA27 เพราะง่ายต่อการเขียน
วิธีการใช้งานมีดังต่อไปนี้
Indicator ตัวนี้ใช้งานเหมือน RSI14 วิธีการอ่านคือให้นับเส้น EMA27 เป็นค่า 50 ของ RSI14 ดังนั้นให้เราพิจารณาการซื้อขายดังต่อไปนี้ (โดยหลังจากนี้ผมจะเรียก EMA27 ที่สร้างขึ้นว่า RSI band)
พิจารณาเข้าซื้อ : เมื่อราคาทะลุ RSI band ขึ้นไปและย่อตัวทำ Higher Low เหนือเส้น RSI band
พิจารณาขายออก : เมื่อราคาทะลุ RSI band ลงมาและรีบาวน์ทำ Lower High ใต้เส้น RSI band
# ทั้งนี้ผมได้ทำสีแท่งเทียนไว้เพื่อให้ง่ายต่อการสังเกต โดยการนำไปใช้อาจนำสีของเส้นขอบแท่งเทียนออก แล้วในส่วนของไส้แท่งเทียนให้ใช้สีที่ไม่เจาะจงราคาบวกลบอย่างสี #434651
โดยเราสามารถดู Divergence โดยการเทียบความต่างระหว่างราคาและ RSI band ได้ดังนี้
ในแนวโน้มขาลง : ให้เปรียบเทียบความต่างระหว่างราคากับ RSI band ของ Lower Low ปัจจุบันกับ Low ก่อนหน้า โดยถ้าความต่างของ Low ลดลงเรื่อย ๆ จนราคาเข้าใกล้เส้น RSI band ให้พิจารณาเข้าซื้อ
ในแนวโน้มขาขึ้น : ให้เปรียบเทียบความต่างระหว่างราคากับ RSI band ของ Higher High ปัจจุบันกับ High ก่อนหน้า โดยถ้าความต่างของ High ดลงเรื่อย ๆ จนราคาเข้าใกล้เส้น RSI band ให้พิจารณาขายออก
ทั้งนี้ผมได้สร้าง Signal alert ไว้เพื่อให้ง่ายต่อการสังเกต โดยสร้างมาจากเงื่อนไขดังนี้ (ห้ามทำการซื้อขายตาม Signal alert เด็ดขาด เพราะเค้าแค่บอกจุดตามเงื่อนไขที่ตั้งไว้ บางทีอาจมีสัญญาณซื้อแล้วให้ซื้อต่อโดยไม่มีสัญญาณขายเลยก็ได้)
Buy : เมื่อ RSI14 ตัดขึ้นที่ค่า 50 พร้อมกับ RSI14 ตัดขึ้น Signal ที่ผมตั้งไว้ (ผมใช้ EMA7 ของ RSI14)
Prepare to Sell : เมื่อ RSI14 ตัดลง Signal ในขณะที่ RSI14 นั้น มีค่ามากกว่า 70
Sell/Short Top : เมื่อ RSI14 ตัดลงที่ค่า 70 พร้อมกับ RSI14 ตัดลง Signal (จะมีขึ้นแสดงว่า Peak ในกราฟ)
Buy : เมื่อ RSI14 ตัดลงที่ค่า 50 พร้อมกับ RSI14 ตัดลง Signal
Prepare to Buy : เมื่อ RSI14 ตัดขึ้น Signal ในขณะที่ RSI14 นั้น มีค่าน้อยกว่า 30
TP Short/Buy Bottom : เมื่อ RSI14 ตัดขึ้นที่ค่า 30 พร้อมกับ RSI14 ตัดขึ้น Signal (จะมีขึ้นแสดงว่า Deep ในกราฟ)
# สาเหตุที่ใส่ข้อความใน Signal alert เพียงแค่ตอน Sell/Short Top และ TP Short/Buy Bottom เพื่อลดโอกาสเกิดการแพนิคที่เกิดจากการสังเกตได้ โดยในสัญญาณตัวอื่นจะมีแค่เครื่องหมาย * เพียงอย่างเดียว
ขอให้โชคดีครับ
Firstssk
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//en (Google Translate)
Hello, Trader
First of all, I have to say that this indicator is built on the basis of a real RSI, just using the EMA27 value to create it, since I still can't write an RSI band that is tied to the price in this section.
But please be patient and listen to me a bit. Since I previously noticed that EMA27 is exactly equal to RSI14 at 50, so I chose to build it with EMA27 because it's easier to write.
Here's how to use it:
This indicator works like RSI14. The reading method is to count the EMA27 line as the 50 value of RSI14, so let's consider the following trading. (After this I will call the created EMA27 RSI band)
Consider buying : When the price breaks the RSI band up and makes a Higher low above the RSI band.
Consider selling : When the price breaks the RSI band down and rebounds to make a Lower high below the RSI band.
# However, I have colored the candlesticks to make them easier to spot. By applying it may remove the color of the candlestick border. Then for the wick part, use a color that does not specify the price plus and minus color #434651
We can see the divergence by comparing the difference between the price and the RSI band as follows.
In a downtrend : Compare the difference between the price and the RSI band of the current Lower Low and the previous Low. If the divergence of the Low continues to decrease until the price approaches the RSI band, consider buying.
In an uptrend : Compare the price difference between the RSI band of the current Higher High and the previous high. If the divergence of the High continues to decrease until the price approaches the RSI band, consider selling.
I have created a Signal alert for easy observation. It was created from the following conditions: (Do not trade according to Signal alert strictly because they just tell the point according to the conditions set There may be a buy signal and then buy again without a sell signal.)
Buy : When RSI14 crosses above 50 with RSI14 crosses up the signal I set (I use EMA7 of RSI14).
Prepare to Sell : When RSI14 crosses signal while RSI14 is greater than 70.
Sell/Short Top : When RSI14 crosses down at 70 with RSI14 crosses down Signal (it will show "Peak" on the chart)
Buy : When RSI14 crosses down to 50 with RSI14 crosses down signal.
Prepare to Buy : When RSI14 crosses signal while RSI14 is less than 30.
TP Short/Buy Bottom : When RSI14 crosses above 30 with RSI14 crosses up signal (it will show "Deep" in the chart).
# The reason why I put the message in Signal alert only at Sell/Short Top and TP Short/Buy Bottom to reduce the chance of panic occurring from observation. In other signals, there will only be a * sign.
Good luck.
Firstssk
90% DaysIndicator from the paper "IDENTIFYING BEAR MARKET BOTTOMS AND NEW BULL MARKETS"
This paper was the winner of the prestigious 2002 Charles H. Dow Award. Each year the Market Technicians Association, in alliance with Dow Jones and Company, presents an award for excellence in the field of Technical Analysis. The recipient of that award in 2002 was Paul Desmond, President of Lowry Research Corporation.
"Important market bottoms are preceded by, and result from, important market declines.
And, important market declines are, for the most part, a study in the extremes of human emotion.
The intensity of their emotions can be statistically measured through their purchases and sales. To
clarify, as prices initially begin to weaken, investor psychology slowly shifts from complacency to
concern, resulting in increased selling and an acceleration of the decline. As prices drop more
quickly, and the news becomes more negative, the psychology shifts from concern to fear. Sooner
or later, fear turns to panic, driving prices sharply lower, as investors strive to get out of the market
at any price. It is this panic stage that drives prices down to extreme discounts – often well below
book values – that is needed to set the stage for the next bull market. Thus, if an investor had a
method for identifying and measuring panic selling, at least half the job of spotting major market
bottoms would be at hand.
Over the years, a number of market analysts have attempted to define panic selling (often
referred to as a selling climax, or capitulation) in terms of extreme activity, such as unusually
active volume, a massive number of declining stocks, or a large number of new lows. But, those
definitions do not stand up under critical examination, because panic selling must be measured in
terms of intensity, rather than just activity. To formulate our definition of panic selling, we
reviewed the daily history of both the price changes and the volume of trading for every stock
traded on the New York Stock Exchange over a period of 69 years, from 1933 to present. We
broke the volume of trading down into two parts – Upside (buyers) Volume and Downside (sellers)
Volume. We also compiled the full and fractional dollars of price change for all NYSE-listed
stocks that advanced each day (Points Gained), as well as the full and fractional dollars of price
change for all NYSE-listed stocks that declined each day (Points Lost). These four daily totals –
Upside Volume and Points Gained, Downside Volume and Points Lost – represent the basic
components of Demand and Supply, and have been an integral part of the Lowry Analysis since
1938. (Note: an industrious statistician can compile these totals from the NYSE stock tables in
each day’s Wall Street Journal.)
In reviewing these numbers, we found that almost all periods of significant market decline
in the past 69 years have contained at least one, and usually more than one, day of panic selling in
which Downside Volume equaled 90.0% or more of the total of Upside Volume plus Downside
Volume, and Points Lost equaled 90.0% or more of the total of Points Gained plus Points Lost.
...
But, there is a second key ingredient to every major market bottom. It is essential to
recognize that days of panic selling cannot, by themselves, produce a market reversal, any more
than simply lowering the sale price on a house will suddenly produce an enthusiastic buyer. As the
Law of Supply and Demand would emphasize, it takes strong Demand, not just a reduction in
Supply, to cause prices to rise substantially. It does not matter how much prices are discounted; if
investors are not attracted to buy, even at deeply depressed levels, sellers will eventually be forced
to discount prices further still, until Demand is eventually rejuvenated. Thus, our 69-year record
shows that declines containing two or more 90% Downside Days usually persist, on a trend basis,
until investors eventually come rushing back in to snap up what they perceive to be the bargains of
the decade and, in the process, produce a 90% Upside Day (in which Points Gained equal 90.0% or
more of the sum of Points Gained plus Points Lost, and on which Upside Volume equals 90.0% or
more of the sum of Upside plus Downside Volume). These two events – panic selling (one or more
90% Downside Days) and panic buying (a 90% Upside Day, or on rare occasions, two back-toback 80% Upside Days)
– produce very powerful probabilities that a major trend reversal has
begun, and that the market’s Sweet Spot is ready to be savored."
Includes an option to display 90% days for NASDAQ, but these are much rarer and, oddly, there are no Upside Days.
*Includes an option for repainting -- default value is true, meaning the script will repaint the current bar.
False = Not Repainting = Value for the current bar is not repainted, but all past values are offset by 1 bar.
True = Repainting = Value for the current bar is repainted, but all past values are correct and not offset by 1 bar.
In both cases, all of the historical values are correct, it is just a matter of whether you prefer the current bar to be realistically painted and the historical bars offset by 1, or the current bar to be repainted and the historical data to match their respective price bars.
As explained by TradingView,`f_security()` is for coders who want to offer their users a repainting/no-repainting version of the HTF data.
RCI3LinesPanelsRCI 3 lines panels
top / short line / line rising(falling) → bgcolor：green(red)
middle / middle line / line rising(falling) → bgcolor：green(red)
bottom / long line / line rising(falling) → bgcolor：green(red)
all lines rising(falling) → bgcolor： deep green( deep red)
color can be changed / japanese chart color / line rising(falling) → bgcolor：red(blue)
[blackcat] L3 Composite MACD-KDJ-RSI-WR-DMI Trading SystemLevel: 3
Background
The moving average convergence / divergence (MACD) indicator is a pulse oscillator that is mainly used to trade trends. Although it is an oscillator, it is not typically used to identify overbought or oversold conditions. It appears in the diagram as two lines that oscillate without limits. The crossing of the two lines provides trading signals similar to a system with two moving averages.
The KDJ indicator is a technical indicator used to analyze and predict changes in stock performance and the price patterns of a traded asset. The KDJ indicator is also known as the random index. It is a very useful technical indicator that is most commonly used in short term stock market trend analysis. KDJ is a derived form of the Stochastic Oscillator Indicator with the only difference that an additional line is called the J-line. Values of% K and% D indicate whether the security is overbought (over 80) or oversold (under 20). The moments when% K exceeds% D are the moments to sell or buy. The J line represents the deviation of the% D value from% K. The value of J can exceed for the% K and% D lines on the graph.
The Relative Strength Index (RSI) developed by J. Welles Wilder is a pulse oscillator that measures the speed and change of price movements. The RSI hovers between zero and 100. Traditionally, the RSI is considered overbought when it is above 70 and oversold when below 30. Signals can be generated by looking for divergences and error fluctuations.
Williams% R, also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams% R can be used to find entry and exit points in the market. The indicator is very similar to the stochastic oscillator and is used in the same way.
The Directional Movement Index (DMI) is an indicator developed by J. Welles Wilder in 1978 to determine in which direction asset prices are moving. The indicator does this by comparing previous highs and lows and drawing two lines: a positive movement line (+DI) and a negative movement line (-DI). The optional third line is called "Directional Movement (DX)" and it shows the difference between the two lines. When +DI is higher than -DI, the upward pressure on the price is greater than the downward pressure. If -DI is higher than +DI, the price will have greater downward pressure. This indicator can help traders assess the trend direction. Crosses between lines are sometimes used as buying and selling signals.
Function
L3 Composite MACD-KDJ-RSI-WR-DMI Trading System is a simple trading system composed of MACD-KDJ-RSI-WR-DMI together. It can produce 6 types of long entries and 3 types of short entries. It utilizes divergence effect from MACD, KDJ and RSI to detect trend reversal. 6 types of Bottom and top divergence labels are displayed in the chart together with "BUY" and "SELL".
NOTE:In order to make the actual label of the chart more clear, this script does not add stop loss and take profit functions and according labels.
Signal
b1~b3 ---> MACD, KDJ, RSI bottom divergence signal respectively, which hint bull trend may start soon.
d1~d3 ---> MACD, KDJ, RSI top divergence signal respectively, which hint bear trend may start soon.
longentry1~6 ---> with composite indicators together, 6 types of long entry signal are produced.
shortentry1~3 ---> with composite indicators together, 3 types of short entry signal are produced.
Pros and Cons
Pros:
1. excellent open-close, long-short entry signal generation with multiple powerful indicators
2. indicator resonance can help to promote the confidence level of signal and divergence alerts
Cons:
1. integration of multiple indicators is not deeply optimized. fake signal may be produced without filtering schemes
2. no range filter is added
Remarks
To celebrate number of followers exceeds 100. This is my first L3 script published.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
RSI2 with alerts by Mr.TuanDoan for Binary OptionIdea was developed from Larry Connors RSI2.
The 2-period RSI strategy is a fairly simple mean-reversion trading strategy designed to buy or sell securities after a corrective period.
You should look for buying opportunities when 2-period RSI moves below Lower Band (5), which is considered deeply oversold. Conversely, you can look for short-selling opportunities when 2-period RSI moves above Upper Band (95).
This is a rather aggressive short-term strategy for Binary Option.
Best use with Stoch RSI x 2.
The settings for Stoch RSI are
- Slow: 3 3 14 14
- Fast: 3 3 5 5
Only consider a PUT/CALL when both Stoch RSI are in the same state (overbought/oversold).
When arrow appears on the candle, it likely reverse the current trend.
Note
This is not a holy-grail.
Please follow your risk management
Confirmations must be met before entering a trade
It's for Binary Option
Grover Llorens Activator Strategy AnalysisThe Grover Llorens Activator is a trailing stop indicator deeply inspired by the parabolic SAR indicator, and aim to provide early exit points and reversal detection. The indicator was posted not so long ago, you can find it here :
Today a strategy using the indicator is proposed, and its profitability is analyzed on 3 different markets with the main time frame being 1 hour, remember that lower time frames involve lower absolute price changes, therefore we are way more affected by the spread, and we can require a larger position sizing depending on our investment target, trading higher time-frames is always a good practice and this is why 1 hour is selected. Based on the result we might make various conclusions regarding the indicator accuracy and might have ideas on future improvements of the indicator.
I'am not great when it comes to strategy design, i still hope to share correct and useful information in this post, let me know your thoughts on the post format and if i should make more of these.
Setup And Rules
The analysis is solely based on the indicator signals, money management isn't taken into account, this allow us to have an idea on the indicator robustness and resilience, particularly on extremely volatile markets and ones exhibiting a chaotic structure, altho it is normally good practice to close any position before a market closure in order to avoid any potential major gaps.
The settings used are 480 for length and 14 for mult, this create relatively mid term signals that are suited for a trend indicator such as the Grover Llorens Activator, unfortunately we can't infer the indicator optimal settings, thats how it is with any technical indicator anyway.
Here are the rules of our strategy :
long : closing price cross over the indicator
short : closing price cross under the indicator
We use constant position sizing, once a signal is triggered all the previous positions are closed.
Description Of The Statistics Used
Various statistics are presented in this post, here is a brief description of the main ones :
Percent Profitability (higher = better): Percentage of winning trades, that is : winning trades/total number of trades × 100
Maximum Drawdown (lower = better) : The highest difference between a peak and a valley in the balance, that is : peak - valley , in percentage : (peak - valley)/peak × 100
Profit Factor (higher = better) : Gross profit divided by gross loss, values under 1 represent gross losses superior to the gross profits
Remember that more volatility = more risk, since higher absolute price changes can logically cause larger losses.
EURUSD
The first market analyzed is the Forex market with the EURUSD major pair with a position sizing of 1000 units (1 micro lot). Since October EURUSD is not showing any particular strong trend but posses a discrete rising motion, fortunately cycles can be observed.
The equity was rising until two trades appeared causing a decline in the equity. Before October a bearish market could be observed.
We can see that the equity is rising, the trend still posses various retracements that affect our indicator, however we can see that the indicator totally nail the end of the trend, thats the power of converging toward the price.
In short :
$ 86.63 net profit
340 closed trades
37.65 % profitable (thats a lot of loosing trades)
1.19 profit factor
$ 76.67 max drawdown
Applying a spread would create negative results (in general the average spread is used), not a great start...
BTCUSD
The cryptocurrency market is relatively more volatile than others, which also mean potentially higher returns, we test the indicator using certainly the most traded cryptocurrency, BTCUSD. We will use a position sizing of 1 unit.
In the case of BTCUSD the strategy balance is relatively stationary around the initial capital, with of course high dispersion.
from september to december the market is bearish with various ranging periods, no apparent cycles can be observed, except maybe in the ranging period of october, this ranging period is followed by a non linear trend (relatively parabolic) that the indicator failed to capture in its integrity (this is a recurrent problem and it is starting to piss me off xD).
In short :
$ 2010.64 net profit (aka how i bet the crypto market)
395 closed trades
38.23 % profitable
1.036 profit factor
$ 5738.01 max drawdown (aka how i lost to the crypto market)
AMD
AMD stand for Advanced Micro Devices and is a company focused on the development of computer technology, i love the microprocessor market and i really like AMD who start this year in a pretty great way with a net bullish trend.
The performance of the indicator on AMD is decent (at last !) with the equity producing many new higher highs. The indicator performance still drop in the middle end of 2019 with a large equity drawdown of 17$ caused by the gap of august 8. Unfortunately AMD, like lot of well behaving stocks can only tells us that the indicator has good performances on heavily trending markets with no excess of noise or chaotic structures.
In short :
$ 17.86 net profit (Enough for a consistent lunch)
295 closed trades
36.27 % profitable
1.414 profit factor
$ 10.37 max drawdown.
Conclusion
A strategy using the recently proposed Grover Llorens activator has been presented. We can easily conclude that the indicator can't possibly generate long term returns under chaotic and volatile markets, and could even produce unnecessary trades in trending markets without much parasitic fluctuations such as noise and retracements (think about a simple linear trend) since the indicator converge toward the price and would therefore automatically cross over/under the trend, thus guaranteeing a false signal.
However we have seen its ability to provide accurate early reversal detection shine from time to time, thus over performing lagging indicators in this aspect, however the duration of price fluctuations isn't fixed at a certain period, the rate of convergence should be way faster during volatile fluctuations, of moderate speed during more cyclic fluctuations, and really slow with apparent long term trends, this could be achieved by making the indicator adaptive, but it won't really make it necessarily perform better.
That said i still believe that converging trend indicators are really interesting and aim to capture the non lasting behavior of price fluctuations, they shouldn't receive so much hate (think about the poor p-sar).
Thanks for reading !
NAND PerceptronExperimental NAND Perceptron based upon Python template that aims to predict NAND Gate Outputs. A Perceptron is one of the foundational building blocks of nearly all advanced Neural Network layers and models for Algo trading and Machine Learning.
The goal behind this script was threefold:
To prove and demonstrate that an ACTUAL working neural net can be implemented in Pine, even if incomplete.
To pave the way for other traders and coders to iterate on this script and push the boundaries of Tradingview strategies and indicators.
To see if a self-contained neural network component for parameter optimization within Pinescript was hypothetically possible.
NOTE: This is a highly experimental proof of concept - this is NOT a ready-made template to include or integrate into existing strategies and indicators, yet (emphasis YET - neural networks have a lot of potential utility and potential when utilized and implemented properly).
Hardcoded NAND Gate outputs with Bias column (X0):
// NAND Gate + X0 Bias and Y-true
// X0 // X1 // X2 // Y
// 1 // 0 // 0 // 1
// 1 // 0 // 1 // 1
// 1 // 1 // 0 // 1
// 1 // 1 // 1 // 0
Column X0 is bias feature/input
Column X1 and X2 are the NAND Gate
Column Y is the y-true values for the NAND gate
yhat is the prediction at that timestep
F0,F1,F2,F3 are the Dot products of the Weights (W0,W1,W2) and the input features (X0,X1,X2)
Learning rate and activation function threshold are enabled by default as input parameters
Uncomment sections for more training iterations/epochs:
Loop optimizations would be amazing to have for a selectable length for training iterations/epochs but I'm not sure if it's possible in Pine with how this script is structured.
Error metrics and loss have not been implemented due to difficulty with script length and iterations vs epochs - I haven't been able to configure the input parameters to successfully predict the right values for all four y-true values for the NAND gate (only been able to get 3/4; If you're able to get all four predictions to be correct, let me know, please).
// //---- REFERENCE for final output
// A3 := 1, y0 true
// B3 := 1, y1 true
// C3 := 1, y2 true
// D3 := 0, y3 true
PLEASE READ: Source article/template and main code reference:
towardsdatascience.com
towardsdatascience.com
towardsdatascience.com
Trade Manager (Open-Source & Non-Standalone Version)Happy Friday everyone
TGIF !!!!!! The weekend for me means no script publishing and enjoying the sun
As a weekday vampire, I'll go out and try to survive the sunlight or I'll prepare the indicators to share for next week. Not sure at this point....
This week, I shared a Trade Manager Trade-Manager-Open-Source-Version/ that you need to get connected to your indicator
Some traders asked if I could give away an alternative version meaning they'll have their own indicator separately and once they'll get their signal, they'll add the Trade Manager to manage their take profits and stop losses. (I'm working for Tradingview charity apparently ^^)
I liked the idea a lot !!! I like it even more that this idea came from followera that I don't even know
How does it work ?
Basically, chose any indicator you want. Once you get your signal/alert, get in the trade with your broker, and add the Trade Manager (Non-Standalone Version) (note the Non-Standalone Version) <=
This is realy important !!
So this was defintively the Trade Manager week... I feel I shared one alternative of that tool a day. (might get banned for copy/pasting myself too much)
Not sure of how I managed it anyway but now let's summarize what you have in your trading toolkit so far :
- Trade Manager to be used DIRECTLY with another indicator : Trade-Manager-Open-Source-Version/
- Trade Manager to be used INDIRECTLY with another indicator : the one I'm sharing right now
- Risk/Reward & PnL & Errors management tool : Risk-Reward-InfoPanel/
If you want to build your own signals in a few clicks only, feel free to share my Algorithm/Strategy builder Strategy-Builder-Crypto-Single-Trend-Plots/
I made it so that you guys can build you own custom signals and then why not, plugging them to the Trade Manager and to the Risk/Reward indicators..... That's now that you're supposed to connect the dots and realizing that all indicators shared this week are deeply linked and powerful when well used together :-)
Wishing y'all a great weekend and see you Monday, well rested and fresh for a new set of indicators
_____________________________________________________________
Feel free to hit the thumbs up as it shows me that I'm not doing this for nothing and will motivate to deliver more quality content in the future. (Meaning... a few likes only = no indicators = Dave enjoying the beach)
Two good news happened this week for me
1) I'm an offically approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies
Jump on a 1 to 1 coaching with me
2) I'm a top author Pine script :)
changes-to-script-publishing-on-tradingview-13462
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
Market Spiralyst [Hapharmonic]Hello, traders and creators! 👋
Market Spiralyst: Let's change the way we look at analysis, shall we? I've got to admit, I scratched my head on this for weeks, Haha :). What you're seeing is an exploration of what's possible when code meets art on financial charts. I wanted to try blending art with trading, to do something new and break away from the same old boring perspectives. The goal was to create a visual experience that's not just analytical, but also relaxing and aesthetically pleasing.
This work is intended as a guide and a design example for all developers, born from the spirit of learning and a deep love for understanding the Pine Script™ language. I hope it inspires you as much as it challenged me!
🧐 Core Concept: How It Works
Spiralyst is built on two distinct but interconnected engines:
The Generative Art Engine: At its core, this indicator uses a wide range of mathematical formulas—from simple polygons to exotic curves like Torus Knots and Spirographs—to draw beautiful, intricate shapes directly onto your chart. This provides a unique and dynamic visual backdrop for your analysis.
The Market Pulse Engine: This is where analysis meets art. The engine takes real-time data from standard technical indicators (RSI and MACD in this version) and translates their states into a simple, powerful "Pulse Score." This score directly influences the appearance of the "Scatter Points" orbiting the main shape, turning the entire artwork into a living, breathing representation of market momentum.
🎨 Unleash Your Creativity! This Is Your Playground
We've included 25 preset shapes for you... but that's just the starting point !
The real magic happens when you start tweaking the settings yourself. A tiny adjustment can make a familiar shape come alive and transform in ways you never expected.
I'm genuinely excited to see what your imagination can conjure up! If you create a shape you're particularly proud of or one that looks completely unique, I would love to see it. Please feel free to share a screenshot in the comments below. I can't wait to see what you discover! :)
Here's the default shape to get you started:
The Dynamic Scatter Points: Reading the Pulse
This is where the magic happens! The small points scattered around the main shape are not just decorative; they are the visual representation of the Market Pulse Score.
The points have two forms:
A small asterisk (`*`): Represents a low or neutral market pulse.
A larger, more prominent circle (`o`): Represents a high, strong market pulse.
Here’s how to read them:
The indicator calculates the Pulse Strength as a percentage (from 0% to 100%) based on the total score from the active indicators (RSI and MACD). This percentage determines the ratio of circles to asterisks.
High Pulse Strength (e.g., 80-100%): Most of the scatter points will transform into large circles (`o`). This indicates that the underlying momentum is strong and It could be an uptrend. It's a visual cue that the market is gaining strength and might be worth paying closer attention to.
Low Pulse Strength (e.g., 0-20%): Most or all of the scatter points will remain as small asterisks (`*`). This suggests weak, neutral, or bearish momentum.
The key takeaway: The more circles you see, the stronger the bullish momentum is according to the active indicators. Watch the artwork "breathe" as the circles appear and disappear with the market's rhythm!
And don't worry about the shape you choose; the scatter points will intelligently adapt and always follow the outer boundary of whatever beautiful form you've selected.
How to Use
Getting started with Spiralyst is simple:
Choose Your Canvas: Start by going into the settings and picking a `Shape` and `Palette` from the "Shape Selection & Palette" group that you find visually appealing. This is your canvas.
Tune Your Engine: Go to the "Market Pulse Engine" settings. Here, you can enable or disable the RSI and MACD scoring engines. Want to see the pulse based only on RSI? Just uncheck the MACD box. You can also fine-tune the parameters for each indicator to match your trading style.
Read the Vibe: Observe the scatter points. Are they mostly small asterisks or are they transforming into large, vibrant circles? Use this visual feedback as a high-level gauge of market momentum.
Check the Dashboard: For a precise breakdown, look at the "Market Pulse Analysis" table on the top-right. It gives you the exact values, scores, and total strength percentage.
Explore & Experiment: Play with the different shapes and color palettes! The core analysis remains the same, but the visual experience can be completely different.
⚙️ Settings & Customization
Spiralyst is designed to be highly customizable.
Shape Selection & Palette: This is your main control panel. Choose from over 25 unique shapes, select a color palette, and adjust the line extension style ( `extend` ) or horizontal position ( `offsetXInput` ).
scatterLabelsInput: This setting controls the total number of points (both asterisks and circles) that orbit the main shape. Think of it as adjusting the density or visual granularity of the market pulse feedback.
The Market Pulse engine will always calculate its strength as a percentage (e.g., 75%). This percentage is then applied to the `scatterLabelsInput` number you've set to determine how many points transform into large circles.
Example: If the Pulse Strength is 75% and you set this to `100` , approximately 75 points will become circles. If you increase it to `200` , approximately 150 points will transform.
A higher number provides a more detailed, high-resolution view of the market pulse, while a lower number offers a cleaner, more minimalist look. Feel free to adjust this to your personal visual preference; the underlying analytical percentage remains the same.
Market Pulse Engine:
`⚙️ RSI Settings` & `⚙️ MACD Settings`: Each indicator has its own group.
Enable Scoring: Use the checkbox at the top of each group to include or exclude that indicator from the Pulse Score calculation. If you only want to use RSI, simply uncheck "Enable MACD Scoring."
Parameters: All standard parameters (Length, Source, Fast/Slow/Signal) are fully adjustable.
Individual Shape Parameters (01-25): Each of the 25+ shapes has its own dedicated group of settings, allowing you to fine-tune every aspect of its geometry, from the number of petals on a flower to the windings of a knot. Feel free to experiment!
For Developers & Pine Script™ Enthusiasts
If you are a developer and wish to add more indicators (e.g., Stochastic, CCI, ADX), you can easily do so by following the modular structure of the code. You would primarily need to:
Add a new `PulseIndicator` object for your new indicator in the `f_getMarketPulse()` function.
Add the logic for its scoring inside the `calculateScore()` method.
The `calculateTotals()` method and the dashboard table are designed to be dynamic and will automatically adapt to include your new indicator!
One of the core design philosophies behind Spiralyst is modularity and scalability . The Market Pulse engine was intentionally built using User-Defined Types (UDTs) and an array-based structure so that adding new indicators is incredibly simple and doesn't require rewriting the main logic.
If you want to add a new indicator to the scoring engine—let's use the Stochastic Oscillator as a detailed example—you only need to modify three small sections of the code. The rest of the script, including the adaptive dashboard, will update automatically.
Here’s your step-by-step guide:
#### Step 1: Add the User Inputs
First, you need to give users control over your new indicator. Find the `USER INTERFACE: INPUTS` section and add a new group for the Stochastic settings, right after the MACD group.
Create a new group name: `string GRP_STOCH = "⚙️ Stochastic Settings"`
Add the inputs: Create a boolean to enable/disable it, and then add the necessary parameters (`%K`, `%D`, `Smooth`). Use the `active` parameter to link them to the enable/disable checkbox.
// Add this code block right after the GRP_MACD and MACD inputs
string GRP_STOCH = "⚙️ Stochastic Settings"
bool stochEnabledInput = input.bool(true, "Enable Stochastic Scoring", group = GRP_STOCH)
int stochKInput = input.int(14, "%K Length", minval=1, group = GRP_STOCH, active = stochEnabledInput)
int stochDInput = input.int(3, "%D Smoothing", minval=1, group = GRP_STOCH, active = stochEnabledInput)
int stochSmoothInput = input.int(3, "Smooth", minval=1, group = GRP_STOCH, active = stochEnabledInput)
#### Step 2: Integrate into the Pulse Engine (The "Factory")
Next, go to the `f_getMarketPulse()` function. This function acts as a "factory" that builds and configures the entire market pulse object. You need to teach it how to build your new Stochastic indicator.
Update the function signature: Add the new `stochEnabledInput` boolean as a parameter.
Calculate the indicator: Add the `ta.stoch()` calculation.
Create a `PulseIndicator` object: Create a new object for the Stochastic, populating it with its name, parameters, calculated value, and whether it's enabled.
Add it to the array: Simply add your new `stochPulse` object to the `array.from()` list.
Here is the complete, updated `f_getMarketPulse()` function :
// Factory function to create and calculate the entire MarketPulse object.
f_getMarketPulse(bool rsiEnabled, bool macdEnabled, bool stochEnabled) =>
// 1. Calculate indicator values
float rsiVal = ta.rsi(rsiSourceInput, rsiLengthInput)
= ta.macd(close, macdFastInput, macdSlowInput, macdSignalInput)
float stochVal = ta.sma(ta.stoch(close, high, low, stochKInput), stochDInput) // We'll use the main line for scoring
// 2. Create individual PulseIndicator objects
PulseIndicator rsiPulse = PulseIndicator.new("RSI", str.tostring(rsiLengthInput), rsiVal, na, 0, rsiEnabled)
PulseIndicator macdPulse = PulseIndicator.new("MACD", str.format("{0},{1},{2}", macdFastInput, macdSlowInput, macdSignalInput), macdVal, signalVal, 0, macdEnabled)
PulseIndicator stochPulse = PulseIndicator.new("Stoch", str.format("{0},{1},{2}", stochKInput, stochDInput, stochSmoothInput), stochVal, na, 0, stochEnabled)
// 3. Calculate score for each
rsiPulse.calculateScore()
macdPulse.calculateScore()
stochPulse.calculateScore()
// 4. Add the new indicator to the array
array indicatorArray = array.from(rsiPulse, macdPulse, stochPulse)
MarketPulse pulse = MarketPulse.new(indicatorArray, 0, 0.0)
// 5. Calculate final totals
pulse.calculateTotals()
pulse
// Finally, update the function call in the main orchestration section:
MarketPulse marketPulse = f_getMarketPulse(rsiEnabledInput, macdEnabledInput, stochEnabledInput)
#### Step 3: Define the Scoring Logic
Now, you need to define how the Stochastic contributes to the score. Go to the `calculateScore()` method and add a new case to the `switch` statement for your indicator.
Here's a sample scoring logic for the Stochastic, which gives a strong bullish score in oversold conditions and a strong bearish score in overbought conditions.
Here is the complete, updated `calculateScore()` method :
// Method to calculate the score for this specific indicator.
method calculateScore(PulseIndicator this) =>
if not this.isEnabled
this.score := 0
else
this.score := switch this.name
"RSI" => this.value > 65 ? 2 : this.value > 50 ? 1 : this.value < 35 ? -2 : this.value < 50 ? -1 : 0
"MACD" => this.value > this.signalValue and this.value > 0 ? 2 : this.value > this.signalValue ? 1 : this.value < this.signalValue and this.value < 0 ? -2 : this.value < this.signalValue ? -1 : 0
"Stoch" => this.value > 80 ? -2 : this.value > 50 ? 1 : this.value < 20 ? 2 : this.value < 50 ? -1 : 0
=> 0
this
#### That's It!
You're done. You do not need to modify the dashboard table or the total score calculation.
Because the `MarketPulse` object holds its indicators in an array , the rest of the script is designed to be adaptive:
The `calculateTotals()` method automatically loops through every indicator in the array to sum the scores and calculate the final percentage.
The dashboard code loops through the `enabledIndicators` array to draw the table. Since your new Stochastic indicator is now part of that array, it will appear automatically when enabled!
---
Remember, this is your playground! I'm genuinely excited to see the unique shapes you discover. If you create something you're proud of, feel free to share it in the comments below.
Happy analyzing, and may your charts be both insightful and beautiful! 💛
Market Pulse Dip RadarThis indicator is designed to help traders spot meaningful dips in price and then evaluate whether those dips are worth trading or not. It doesn’t just mark a dip; it also helps with risk management, trade planning, and filtering out weak signals.
Here’s how it works:
First, it looks at the recent high price and checks how much the market has dropped from that high. If the drop is larger than the minimum percentage you set, it marks it as a potential dip.
Next, it checks the trend structure by using two moving averages (a fast one and a slow one). If the fast average is below the slow average, it means the market is in a weaker structure, and that dip is considered more valid.
On top of that, you can enable a multi-timeframe filter. For example, if you are trading on the 15-minute chart, you can ask the indicator to confirm that the 1-hour trend is also supportive before showing you a dip. This helps avoid trading against the bigger trend.
Risk management is built in. The indicator automatically suggests a stop-loss by combining volatility (ATR) and recent swing lows. It then draws three profit target levels (1x risk, 2x risk, and 3x risk). This makes it easier to plan where to exit if the trade works.
A key part of this tool is the confidence score. Each dip signal is rated from 0 to 100. The score depends on how deep the dip is, how far apart the moving averages are, how healthy volatility is, and whether the higher timeframe supports the trade. The score is then labeled as High, Medium, Low, or Wait. This helps traders focus only on the stronger setups.
On the chart, dip signals are marked with a diamond shape under the bars. The color of the diamond tells you if it’s high, medium, or low quality. When a signal appears, the indicator also plots horizontal lines for the entry, stop, and targets.
To make it easier to read, there is also a dashboard box that shows the current score, quality, dip percentage, and suggested stop-loss. This means you don’t have to calculate or check different things yourself – everything is visible in one place.
Finally, it comes with alerts. You can set alerts for when a dip signal happens, or when it’s medium or high confidence. This way, you don’t need to stare at charts all day; TradingView can notify you.
So in short, this tool:
• Finds dips based on your rules.
• Filters them using structure, volatility, and higher timeframe trend.
• Suggests stop-loss and profit targets.
• Rates each dip with a confidence score.
• Shows all this info in a clean dashboard and alerts you when it happens.
👉 Do you want me to now explain how a trader would actually use it in practice (step by step, from signal to trade)?
Money Flow | Lyro RSMoney Flow | Lyro RS
The Money Flow is a momentum and volume-driven oscillator designed to highlight market strength, exhaustion, and potential reversal points. By combining smoothed Money Flow Index readings with volatility, momentum, and RVI-based logic, it offers traders a deeper perspective on money inflow/outflow, divergences, and overbought/oversold dynamics.
Key Features
Smoothed Money Flow Line
EMA-smoothed calculation of the MFI for noise reduction.
Clear thresholds for overbought and oversold zones.
Normalized Histogram
Histogram plots show bullish/bearish money flow pressure.
Color-coded cross logic for quick trend assessment.
Relative Volatility Index (RVI) Signals
Detects overbought and oversold conditions using volatility-adjusted RVI.
Plots ▲ and ▼ markers at exhaustion points.
Momentum Strength Gauge
Calculates normalized momentum strength from ROC and volume activity.
Displays percentage scale of current momentum force.
Divergence Detection
Bullish divergence: Price makes lower lows while money flow makes higher lows.
Bearish divergence: Price makes higher highs while money flow makes lower highs.
Plotted as diamond markers on the oscillator.
Signal Dashboard (Table Overlay)
Displays real-time status of Money Flow signals, volatility, and momentum.
Color-coded readouts for instant clarity (Long/Short/Neutral + Momentum Bias).
How It Works
Money Flow Calculation – Applies EMA smoothing to MFI values.
Normalization – Scales oscillator between relative high/low values.
Trend & Signals – Generates bullish/bearish signals based on midline and histogram cross logic.
RVI Integration – Confirms momentum exhaustion with overbought/oversold markers.
Divergences – Identifies hidden market imbalances between price and money flow.
Practical Use
Trend Confirmation – Use midline crossovers with histogram direction for money flow bias.
Overbought/Oversold Reversals – Watch RVI ▲/▼ markers for exhaustion setups.
Momentum Tracking – Monitor momentum percentage to gauge strength of current trend.
Divergence Alerts – Spot early reversal opportunities when money flow diverges from price action.
Customization
Adjust length, smoothing, and thresholds for different markets.
Enable/disable divergence detection as needed.
Personalize visuals and dashboard display for cleaner charts.
⚠️ Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used alongside other methods and proper risk management. The creator is not responsible for financial decisions made using this script.
