RSI Accumulation/Distribution [M]Hello everyone,
After my long tests, I observed that the rate of change of direction of the price was high after the periods when the RSI spent a long time outside the band. As a result of my observations, I prepared this indicator.
This indicator shows you the accumulation and distribution areas that occur outside the rsi band.
There are 3 different levels available.
Level 1 = 5 Bars
Level 2 = 7 Bars
Level 3 = 9 Bars
For example, if the RSI spends more than 9 bars below the 30 level or above the 70 level, it will paint that area red. Levels can be changed from the indicator settings. The rsi is smoothed with simple moving average to reduce fake signals.
Using the RSI A/D indicator with different indicators or patterns will increase your success rate.
Examples:
M-oscillator
On Balance Volume Scaled - OBV ScaledThe main idea of this oscillator is to place the OBV oscillator and its oscillation around the range of 0 and around -50 to +50 and for this scaling of the "On Balance Volume" oscillator, I have used Min-max normalization.
Since this oscillator does not have a specific minimum and maximum, just setting the maximum and minimum does not seem the best thing to do. As in this case, we will constantly observe sudden changes and we will have problems such as volatility. On the one hand, we will constantly deal with sudden changes and problems such as volatility. Also on the other hand, the continuous collisions of the high/low(+50 & -50) and index and returning from that is another thing that we are going to deal with.
Therefore, to solve these problems and create more flexible maximum and minimum ranges, another similar method has been used. Choosing the maximum of our normalization to the size of the moving average of 100 candles of the index maximum and choosing the minimum of normalization to the size of the moving average of 100 candles of the minimums of the OBV index, and then normalizing the OBV index with the Min-max method with those ranges, is the recommended method ,which has been used to eliminate problems. In this case, we will not have any problem hitting 50 and returning or hitting -50 and returning. Also, our scaled OBV index will have the ability to touch and cross 50 and -50 and can fluctuate without problems.
HL-D Close Fraction Oscillator | AdulariDescription:
This indicator calculates the difference between price high's and low's, and fractions it by the close price. If it calculates the difference between a high and low or low and high is defined by whether the current close is higher than the previous close. It is then also rescaled to ensure the value is always appropriate compared to the last set amount of bars.
This indicator can be used to determine whether a market is trending or ranging, and if so in which direction it is trending.
How do I use it?
Never use this indicator as standalone trading signal, it should be used as confluence.
When the value is above the middle line this shows the bullish trend is strong.
When the value is below the middle line this shows the bearish trend is strong.
When the value crosses above the upper line this indicates the trend may reverse downwards.
When the value crosses below the lower line this indicates the trend may reverse upwards.
When the value crosses above the signal this indicates the current bearish trend is getting weak and may reverse upwards.
When the value crosses below the signal this indicates the current bullish trend is getting weak and may reverse downwards.
Features:
Oscillator value indicating the difference between highs and lows fractioned by the close price.
Signal indicating a clear trend and base line value.
Horizontal lines such as oversold, overbought and middle lines, indicating possible interest zones.
How does it work?
1 — Define trend by checking if current close is above or below previous close.
2 — If the current close is above the previous close, calculate the oscillator's value using this formula:
(high - low) / close
2 — If the current close is below the previous close, calculate the oscillator's value using this formula:
(low - high) / close
3 — Smooth the original value using a specified moving average.
4 — Rescale the value using this formula:
newMin + (newMax - newMin) * (value - oldMin) / math.max(oldMax - oldMin, 10e-10)
5 — Calculate signal value by applying smoothing to the oscillator's value.
Generalized Smooth StepHello, folks. Sorry for not posting anything for a long time, just busy with my university studies for the moment.
Quick script for today — Smooth Step.
You can search for it in Wikipedia, but saying shortly and informatively, this is just an advanced type of oscillator, used as momentum indicator.
In the codes across the Internet everybody uses the 3rd order equation, BUT I found it kinda boring to use indicator this simple, so I made an option to choose the order of the equation in the settings — parameter "Order of the equation". This why it is called generalized smooth step, as it makes possible to use equation of virtually any order.
It is limited to 18 because very strange behaviour that you get after passing 18th order (it jsut becomes not tradeable any longer).
As I've mentioned above, it is an advanced version of classical oscillator, used as momentum indicator .
How to use it?
If smooth step is above 50, then the price momentum is bullish;
If smooth step is below 50, then the price momentum is bearish.
As simple as it is, it becomes useful enough on the higher timeframes (>=1H), so feel free to play with it and find optimal settings for yourself.
Hints
Try perform different smoothing and leading methods (developed by Ehler) to get better results;
You can use smooth step as confirmation/filter for trend-following trades.
Hope you will find it valueable.
Take your profits!
- Tarasenko Fyodor
RU:
Привет, ребята. Извините, что долго ничего не выкладывал, просто сейчас занят учебой в университете.
Быстрый скрипт на сегодня — Smooth Step.
Вы можете поискать его теоретическое обоснование в Википедии, но если говорить кратко и информативно, то это совершенствованный тип классического осциллятора, используемый в качестве моментум-индикатора .
В кодах в интернете все используют уравнение 3-го порядка, НО Мне было скучно пользоваться таким простым индикатором, поэтому я сделал возможность выбирать порядок уравнения в настройках — параметр " Порядок уравнения». Поэтому он называется обобщеннымsmooth step, так как позволяет использовать уравнение практически любого порядка.
Я ограничил порядок уравнения 18 , потому что индикатор показывает начинается очень странное поведение, когда вы делаете порядок больше 18 (индикатор просто начинается вести семя хаотично, что ли).
Как я уже упоминал выше, это усовершенствованная версия классического осциллятора, используемого в качестве моментум-индикатора .
Как им пользоваться?
Если smooth step выше 50, то импульс цены бычий;
Если smooth steз\p ниже 50, то импульс цены медвежий.
Хоть это и очень простой индикатор, он может оказаться достаточно полезным на старших таймфреймах (>=1H), так что не стесняйтесь играть с ним и находить оптимальные настройки для себя.
Советы
Попробуйте использовать различные методы сглаживания и лидирования (разработан Джоном Элером (John Ehler)), чтобы получить лучшие результаты;
Вы можете использовать smooth step в качестве подтверждения/фильтра для сделок, следующих за трендом.
Надеюсь, этот скрипт будет вам полезен.
Получите прибыль!
- Тарасенко Фёдор
(mab) Volume IndexThis script implements the (mab) Volume Index (MVI) which is a volume momentum oscillator. The formula is similar to the formula of RSI but uses volume instead of price. The price is calculated as the average of open, high, low and close prices and is used to determine if the volume is counted as up-volume or down-volume.
I created MVI to replace OBV on my charts, because OBV is not as simple to read and find e.g. divergences. MVI is much easier to read because it is an oscillator with a minimum value of 0 and a maximum value of 100. It's easy to find divergences too. I like to display MVI over the volume bars. However, you can display it in a separate pain as well.
Multiple Divergences (UDTs - objects) - Educational█ OVERVIEW
This script highlights the usage of User-defined Types (UDTs) and objects , and bullish /bearish divergences.
Pivotpoints are used to find divergences, the result of this script will be different against other public multiple divergences scripts.
FOR Pine Script™ CODERS
Besides the information found in CONCEPTS , the comments in the script will, hopefully ), guide you through my thought process.
█ CONCEPTS
The main principle of this script are bullish /bearish divergences, this with 3 different oscillators ( RSI , CCI , MFI )
If you want to know more about divergences, have a look at some Education and Research idea's .
On every bar, an object HLs is made, containing bar_index , high , low , and 2 bool variables ( isPh , isPl ).
On every bar, an object Osc is made, containing bar_index , o (oscillator value), and 2 bool variables ( isPh , isPl ).
If a pivothigh (ph ) is found, isPh will be true on that bar, false otherwise.
If a pivotlow (pl) is found, isPl will be true on that bar, false otherwise.
These objects are added to an array, with limited size.
If a ph is found, the script draws a testline from that ph to every previous ph , found in the array.
Then every high in between these 2 points are checked if they don't pierce the testline .
If the testline isn't broken, the Reg_Div_Piv() function will give 4 values, 1 check (not pierced) variable and the 4 points of the line.
The testline is deleted.
Once a positive check is found, the script will perform the same, but now with the Osc objects.
The script will ONLY compare Osc pivots which are maximum 1 bar away from the high/low pivot .
If everything is confirmed, a line is drawn, visible on the chart.
█ REMARKS
A label will be visible with a number, this is the amount of divergences found with the according oscillator .
EXAMPLE
Div with RSI and CCI -> 2
Div with MFI alone -> 1
Div with RSI and CCI and MFI -> 3
...
Divergences should only be used when confirmed, this is after bar close .
As an aid, lines that are not confirmed will be dotted , if confirmed, they will be solid .
The divergence check start when a ph/pl is found, after which oscillator pivot are checked.
Optionally the same can be done, when a oscillator pivot is found and then check the ph/pl ,
this should give more results, although it can make the script slower.
█ SETTINGS
Left - amount of bars at the left which needs to be lower/higher
Right - amount of bars at the right which needs to be lower/higher
Max values - maximum values in array of objects
3 oscillator settings with
• ON/OFF
• Length
• color bullish divergence
• color bearish divergence
Have FUN !
(mab) Money Flow - MMFThis indicator implements the (mab) Money Flow (MMF). The MMF is calculated using a formula inspired by RSI. In contrast to RSI, MMF uses the average of open, high, low and close as price source. This price is then multiplied with the volume as input for the RSI like formula to calculate the value.
Features:
- Volume weighted price momentum oscillator
- Uses average of open, close, high and low as price component to make the signal less choppy while still as fast
- EMA on MMF
- Highlighting when EMA is in oversold or overbought area
- Alarms
Note that the MMF formula is different than the formula used for other money flow indices like MFI or CMF.
Why do we need another money flow indicator if there are already many established ones? Well I used and tested many money flow indicators including MFI and CMF among others. However, none of them showed the results I was looking for. MFI for example uses a simpler formula for the calculation, which results in a different reading that isn't showing divergences as clearly as I would like. CMF on the other hand has no defined maximum or minimum (similar to MACD) so that it's difficult to determine overbought and oversold values. The MMF is an oscillator with a minimum value of 0 and a maximum value of 100 like RSI. The usage of the average of open, close, high and low as price element makes it less choppy compared to RSI while it still reacts as fast to movements.
Bear Bull Ratio (BBR)This indicator calculates the ratio of bearish to bullish candles over a certain window of time. It does this by keeping track of the number or distance (depending on the "Enable True Range Mode" input) between the high and low prices of bullish and bearish candles, respectively, and then dividing the total distance of bullish candles by the sum of the distances of both bullish and bearish candles. The resulting ratio is then plotted on the chart as a percentage. The indicator also plots a smoothed version of the ratio using a weighted moving average and the average of the ratio over the entire length of the chart, for both the "True Range Mode" and "Normal Mode".
Volume Cross ━ (For Volume Crop) [whvntr]This fulfills a request from user: iTibu to make an oscillator to go along with one of my indicators named: " Volume Crop ━ Hidden Volume Divergence ". It essentially does the same thing, without the Midline Tool , so you can better understand where the crosses are happening. Again, the hidden MACD Divergence circles formula originated from TheLark. I converted these values to volume instead of price.
Disclaimer: using this indicator, or any indicator anywhere, involves risk when trading and isn't a guarantee of 100% accurate results.
Super 8 - 30M BTCWelcome to Super 8, the ultimate automatic trading script for Pine!
This bad boy is designed to go both long and short, and it's equipped with all the tools you need to maximize your profits. Whether you're looking to take profit, set a trailing stop, or protect yourself with a stop loss, Super 8 has you covered.
But that's not all! Super 8 is also loaded with 8 powerful indicators to help you make informed decisions. We've got the EMA, ADX, SAR, MACD, VOLUME, BOLLINGER BANDS, DONCHIAN, and ATR all working together to give you the best possible trading experience.
And if you want to take it to the next level, Super 8 also has a feature that lets you use stepped entries in normal mode or incremental 1,2,3,... to improve your average price. Plus, if you're using trailing stop, you can activate the Backtest precision to use lower timeframes.
But what's in a name? Super 8 is called that because it's just that... super! It's tailored specifically for the OKX:BTCUSDT.P pair, so you know you're getting the best possible results. it's highly adjustable and can be used with any other pair. So no matter what market you're trading in, Super 8 has got you covered.
So if you want to level up your trading game, give Super 8 a try. You won't be disappointed.
Certain Risks of Live Algorithmic Trading:
Backtesting Cannot Assure Actual Results.
The relevant market might fail or behave unexpectedly.
Your broker may experience failures in its infrastructure, fail to execute your orders in a correct or timely fashion or reject your orders.
The system you use for generating trading orders, communicating those orders to your broker, and receiving queries and trading results from your broker may fail.
Time lag at various point in live trading might cause unexpected behavior.
The systems of third parties in addition to those of the provider from which we obtain various services, your broker, and the applicable securities market may fail or malfunction.
ATR Oscillator - Index (Average True range Oscillator)The purpose of converting the ATR value indicator to an oscillator;
It is known that the ATR value is not between the two specified values. So it is not compressed between 0 and 100 like RSI and %B etc. Therefore, conditions such as "A condition if ATR value is X, B condition if ATR value is Y" cannot be created. In order to create these conditions, the max and min value range of the ATR value must be determined. This indicator converts the ATR values into a percentage number according to the maximum and minimum ATR values in the period you will choose. Max value is 100, min value is 0. The considered ATR value, on the other hand, corresponds to the % of the difference between the max and min value in the selected period.
In this way, conditions such as "If the ATR Oscillator value is greater than 10 or 20 or 30" can now be created, or the value of another indicator can be calculated based on the ATR Oscillator value. For example; Let's say we want the standard deviation of BBand to change according to the value of the ATR Oscillator. If BBand Standard Deviation is 3 if ATRO value is 100, BBand Standard Deviation is 2 if ATRO value is 0, and BBand Standard Deviation is 2.5 when ATRO value is 50;
We can encode it as BBand_Std_Dev=((ATRO*0.01)+2 )
If the ATRO value is between .... and ...., you can make improvements such as plot color X.
Fibonacci Moving Average (FMA)The Fibonacci Moving Average (FMA) is a technical analysis tool that uses a weighting system based on the Fibonacci sequence to smooth out fluctuations in data and help identify trends. It is calculated by first finding the metallic mean of the source data and then applying a weight to each data point based on its position in the Fibonacci sequence. The weighted data points are then averaged to create the FMA line. This script allows the user to specify the source data and the length of the moving average, and plots the resulting FMA line on a chart.
[LazyBear] SQZ Momentum + 1st Gray Cross Signals ━ whvntrI have modified LazyBears Squeeze Momentum Indicator with enhancements, plus added signals
LazyBear mentioned that in John F. Carter's book, Chapter 11, "Mastering the Trade", that "Mr. Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change)." I have done just that. Now at each "first gray after a black cross", there are now Bearish and Bullish signals.. The signals only appear in the direction of the momentum.
Disclaimer: This indicator does not constitute investment advice. Trade at your own
risk with this method of identifying changes in stock market momentum.
Correlation Coefficient: Visible Range Dynamic Average R -Correlation Coefficient with Dynamic Average R (shows R average for the visible chart only, changes as you zoom in or out)
-Label: Vis-Avg-R = Visable Average R
-the Correlation Coefficient function for Pearson's R is taken from "BA🐷 CC" indicator by @balipour (highly recommended; more thorough treatment of R and other stats, but without the dynamic average)
-I wrote this primarily to add a dynamic Average R, showing correlation for arbitrary start times/end times; whether it be the last month, last year, of some specific period from the past (backtest mode)
-I have been using this to get an idea of correlation regimes over time between Bonds vs Stocks (ZB1! vs ES1!).
-As you see from the above, most of 2022 has seen an unusually strong positive correlation between Bonds and Stocks
~~inputs:
-lookback length for calculation of R
-Backtest mode (true by default): displays Average R for ONLY the visible range displayed on any part of chart history (LHS to RHS of screen only)
-source for both Ticker and compared Asset (close, open, high, low, ohlc4.. etc)
~~some other assets worth comparing:
Aussie vs Gold; Aussie vs ES; Btc vs ES; Copper vs ES
DRM StrategyOne of the ways I go when I develop strategies is by reducing the number of parameters and removing fixed parameters and levels.
In this strategy, I'm trying to create an RSI indicator with a dynamic length.
Length is computed based on the correlation between Price and its momentum.
You can set min and max values for the RSI, and if the correlation is close to 1, we'll be at a min RSI value. When it's -1, we'll be at the max level.
I got this idea from Sofien Kaabar's book.
The strategy is super simple, and there might be much room for improvement.
Performance on the deep backtesting is not excellent, so I think the strategy needs some filters for regimes, etc.
Thanks to @MUQWISHI for helping me code it.
Disclaimer
Please remember that past performance may not indicate future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Volume Weighted Exponential Moving Average Suite (VWEMA)This is a volume weighted exponential moving average (EMA) script that allows users to customize various parameters to fit their specific needs.
The script includes four different EMA styles: EMA, DEMA, TEMA, and EHMA. Users can choose which style they would like to use by selecting it in the input field. The script also allows users to customize the length of the EMA, with options for both a maximum and minimum length. Users can also choose to use a manual length or to use the dominant cycle within a range as the length.
In addition to these options, the script also includes the ability to turn on or off volume weighting and a daily reset feature that resets the EMA every day. There is also an option to turn on deviation bands, which show the standard deviation of the selected EMA.
Overall, this script offers a wide range of customization options to help users find the best EMA settings for their needs. It is an advanced tool that can be very helpful for traders looking to optimize their EMA strategy.
Cumulative length instead of cycle length
Double EMA Volume Weighted
Triple EMA Volume Weighted
EHMA Volume Weighted
Higher time frame
Deviation Bands
Squeeze Momentum MTF [LPWN]//ENGLISH
Squeeze momentum of lazy bear, multiple time frames, It gives you information if the cycles with high temporality momentums are in harmony, by default two more momentums are shown, I prefer to use only one extra, in the options you can change the time frame of the momentums, in addition to the momentums you can add the RSI and ADX, if the momentum look small, you can change the value of general scale to make them bigger, the table gives us information on how the momentums and the adx are, in the options you can set the candles to color according to the harmony of the momentums
// SPANISH
Squeeze momentum de lazy bear, multiple time frames, te da informacion si los ciclos con momentums de temporalidad alta estan en armonia,por defecto se muestran dos momentums mas, yo prefiero usar solo uno extra, en las opcoines puedes cambiar la temporalidad de los momentums, ademas de los momentums puedes agregar el RSI y el ADX, si el momentum se ve pequeño, puedes cambiar el valor de general scale para hacerlos mas grandes, la tabla nos da infomracion de como estan los momentums y el adx, en las opciones puedes poner que las velas se pongan del color de acuerdo a la armonia de los momentums
AlexD Market annual seasonalityThe indicator displays the percentage of bullish days with a given date over several years.
This allows you to determine the days of the year when the price usually goes up or down.
Indicator has a built-in "simple moving average" shifted back by half a period, due to which the delay of this smoothing is removed.
Slope NormalizerBrief:
This oscillator style indicator takes another indicator as its source and measures the change over time (the slope). It then isolates the positive slope values from the negative slope values to determine a 'normal' slope value for each.
** A 'normal' value of 1.0 is determined by the average slope plus the standard deviation of that slope.
The Scale
This indicator is not perfectly linear. The values are interpolated differently from 0.0 - 1.0 than values greater than 1.0.
From values 0.0 to 1.0 (positive or negative): it means that the value of the slope is less than 'normal' **.
Any value above 1.0 means the current slope is greater than 'normal' **.
A value of 2.0 means the value is the average plus 2x the standard deviation.
A value of 3.0 means the value is the average plus 3x the standard deviation.
A value greater than 4.0 means the value is greater than the average plus 4x the standard deviation.
Because the slope value is normalized, the meaning of these values can remain generally the same for different symbols.
Potential Usage Examples/b]
Using this in conjunction with an SMA or WMA may indicate a change in trend, or a change in trend-strength.
Any values greater than 4 indicate a very strong (and unusual) trend that may not likely be sustainable.
Any values cycling between +1.0 and -1.0 may mean indecision.
A value that is decreasing below 0.5 may predict a change in trend (slope may soon invert).
Band Pass Normalized Suite (BPNS)Outlier-Free Normalization and Band Pass Filtering
We present a technique for normalizing and filtering a given time series, source, in order to improve its stationarity and enhance its features. The technique includes two stages: outlier-free normalization and band pass filtering.
Outlier-Free Normalization:
In order to normalize source and reduce the impact of outliers, we first smooth the time series using an exponential moving average with a smoothing factor of alpha. The smoothed time series is then normalized by subtracting the minimum value within a given lookback period, dev_lookback, and dividing the result by the range (maximum - minimum) within the same lookback period. Outliers are detected and excluded from the normalization process by identifying values that are more than outlier_level standard deviations away from the exponentially smoothed average.
Band Pass Filtering:
After normalization, the time series is passed through a band pass filter to remove low and high frequency components. The specifics of the band pass filter implementation are not provided.
Code snippet:
bes(float source = close, float alpha = 0.7) =>
var float smoothed = na
smoothed := na(smoothed) ? source : alpha * source + (1 - alpha) * nz(smoothed )
max(source, outlier_level, dev_lookback)=>
var float max = na
src = array.new()
stdev = math.abs((source - bes(source, 0.1))/ta.stdev(source, dev_lookback))
array.push(src, stdev < outlier_level ? source : -1.7976931348623157e+308)
max := math.max(nz(max ), array.get(src, 0))
min(source, outlier_level, dev_lookback) =>
var float min = na
src = array.new()
stdev = math.abs((source - bes(source, 0.1))/ta.stdev(source, dev_lookback))
array.push(src, stdev < outlier_level ? source : 1.7976931348623157e+308)
min := math.min(nz(min ), array.get(src, 0))
min_max(src, outlier_level, dev_lookback) =>
(src - min(src, outlier_level, dev_lookback))/(max(src, outlier_level, dev_lookback) - min(src, outlier_level, dev_lookback)) * 100
To apply the outlier-free normalization and band pass filter to a given time series, source, the min_max() function can be called with the desired values for outlier_level and dev_lookback as arguments. For example:
normalized_source = min_max(source, 2, 50)
This will apply the outlier-free normalization and band pass filter to source, using an outlier_level of 2 standard deviations and a lookback period of 50 data points for both the normalization and outlier detection steps. The resulting normalized and filtered time series will be stored in normalized_source.
It is important to note that the choice of values for outlier_level and dev_lookback will have a significant impact on the resulting normalized and filtered time series. These values should be chosen carefully based on the characteristics of the input time series and the desired properties of the normalized and filtered output.
In conclusion, the outlier-free normalization and band pass filtering technique presented here provides a useful tool for preprocessing time series data and improving its stationarity and feature content. The flexibility of the method, through the choice of outlier_level and dev_lookback values, allows it to be tailored to the specific characteristics of the input time series.
Slope Normalized (SN)Introduction:
The Normalized Slope script is a technical indicator that aims to measure the strength and direction of a trend in a financial market. It does this by calculating the slope of the source data series, which can be any type of data (such as price, volume, or an oscillator) over a specified length of time. The slope is then normalized, meaning it is transformed to a scale between -1 and 1, with 0 representing a flat trend.
Methodology:
The Normalized Slope script uses an exponential smoothing function to smooth the source data series. The smoothing factor, or alpha, can be adjusted by the user through the input parameter "Pre Smoothing".
Next, the script calculates the slope of the smoothed data series by finding the average difference between the current value and the values of the previous "Length" periods. This slope is then normalized using a function that scales the data to a range of -1 to 1, with 0 representing a flat trend. The normalization function takes the minimum and maximum values of the slope, calculates the difference between them, and then scales the data to the range of -1 to 1.
The normalized slope is then smoothed again using another exponential smoothing function with a user-adjustable smoothing factor (the "Post Smoothing" input parameter). A center line representing a flat trend can also be plotted on the chart by enabling the "Center Line" input parameter. Additionally, the user can choose to display bounds at the -1 and 1 levels by enabling the "Bounds" input parameter.
Conclusion:
The Normalized Slope script provides traders with a visual representation of the strength and direction of a trend in a financial market. It can be used as a standalone indicator or in combination with other technical analysis tools to help traders make informed trading decisions.
Regime Filter [CHE]About:
A market regime filter is a tool used by traders and investors to identify the current state or "regime" of the market and adjust their investment strategies accordingly. This can involve identifying trends in market behavior, such as bullish or bearish trends, and using that information to make decisions about which assets to buy or sell.
Market regime filters can be based on a variety of factors, including economic indicators, market sentiment, and technical analysis. They are often used in conjunction with other trading strategies and can help traders and investors manage risk and optimize their returns.
It's important to note that market regime filters are not always accurate and can change over time, so it's important for traders and investors to regularly review and update their filters to ensure that they are relevant and effective.
Understanding the use of a regime filter in trading:
The importance of a trading filter cannot be overemphasized. As a matter of fact, the chances of any trading system making consistent returns over the long term depends on it trading in the right market environment — buying when the market is bullish and selling when the market is bearish. Some traders may want to stay out of the market when the conditions are unfavorable.
The heard of this Regime Filter is the well kown Andean Oscillator. The proposed indicator aims to measure the degree of variations of individual up-trends and down-trends in the price, thus allowing to highlight the direction and amplitude of a current trend.
Settings
Length : Determines the significance of the trends degree of variations measured by the indicator.
Signal Length : Moving average period of the signal line.
The regime filter uses the color yellow and blue, yellow stands for bullish and blue for bearish.
In daily use I have found that it makes sense to use it in different timeframes to identify meaningful trends.
best regards and I hope you enjoy this new indicator
Chervolino
Impulse Alerts - Riccardo Di GiacomoThis is the Impulse indicator that allows you to receive alerts in the case one of the following situation occurs:
1) Buy Setup
- Price above Exponential Moving Average 260
- Moving Average 21 above Exponential Moving Average 260
- Moving Average 9 above Moving Average 21
- RSI(14) above 50
- Stochastic equal or below 20
2) Sell Setup
- Price below Exponential Moving Average 260
- Moving Average 21 below Exponential Moving Average 260
- Moving Average 9 below Moving Average 21
- RSI(14) below 50
- Stochastic equal or above 80
The Bollinger Bands represents another useful information:
- If the price is near the upper band when the first situation occurs, it is another green light, otherwise be careful
- If the price is near the lower band when the second situation occurs, it is another green light, otherwise be careful
