Normalized Advanced Decomposition OscillatorThe motivating intuition behind this:
The principles behind the decomposition of sound can be extrapolated to other types of data, such as stock price movements or time series data.
Sinusoidal (Sine) Components: These could correspond to long-term trends in the stock market, similar to how a sine wave has a consistent and predictable pattern. These might be driven by broader economic trends, market cycles, or long-term company performance.
Noise Components: This could represent the daily volatility and fluctuations in stock prices that seem to be random or caused by unpredictable events. Noise is usually considered to be statistical outliers or "random walk" components in the time series data.
Transient Components: These could correspond to sudden and significant changes in stock price, such as those caused by earnings announcements, geopolitical events, or changes in company leadership. They are typically short-lived but can have a large impact, similar to transients in sound.
How's it different?
Unlike your usual run-of-the-mill indicators, our Normalized Advanced Decomposition Oscillator (NADO) breaks down price movements into three parts: the Trend, the Noise, and the quick, notable price changes we call the Transient. Each of these gets its own line on the chart, giving you a comprehensive breakdown of what's going on in the market. Plus, they're all normalized so you can easily compare 'em.
How to use it?
It's pretty straightforward. The blue line shows the trend, the red line represents market noise or volatility, and the green line flags significant short-term price changes. If the green line pops above the blue, you might be seeing a price increase soon. If it dips below the blue, get ready for a potential price drop. See the red line going crazy? That's market noise increasing, meaning things might get a bit unpredictable.
Which markets is it meant for?
NADO is a versatile beast. It'll work in markets that see a lot of price volatility. If you're finding it hard to pin down the trend because of all the noise, NADO is your best friend.
Best conditions to use it?
This tool shines in uncertain markets. If the market's all over the place and you can't make heads or tails of the trend, whip out the NADO. It'll separate the trend from the noise, making it easier for you to see what's going on.
Oscillators
Variety Step RSI w/ Dynamic Zones [Loxx]Variety Step RSI w/ Dynamic Zones is a stepped RSI calculation with Discontinued Signal Lines. This indicator includes 7 types of RSI to choose from. The addition of the Discontinued Signal Lines allows this indicator to better identify momentum shifts in price so traders have better defined long/short signals.
Enhanced Moving Average Calculation with Stepped Moving Average and the Advantages over Regular RSI
Technical analysis plays a crucial role in understanding and predicting market trends. One popular indicator used by traders and analysts is the Relative Strength Index (RSI). However, an enhanced approach called Stepped Moving Average, in combination with the Slow RSI function, offers several advantages over regular RSI calculations.
█ Stepped Moving Average and Moving Averages:
The Stepped Moving Average function serves as a crucial component in the calculation of moving averages. Moving averages smooth out price data over a specific period to identify trends and potential trading signals. By employing the Stepped Moving Average function, traders can enhance the accuracy of moving averages and make more informed decisions.
Stepped Moving Average takes two parameters:
The current RSI value and a size parameter. It computes the next step in the moving average calculation by determining the upper and lower bounds of the moving average range. It accomplishes this by adjusting the values of smax and smin based on the given RSI and size.
Furthermore, Stepped Moving Average introduces the concept of a trend variable. By comparing the previous trend value with the current RSI and the previous upper and lower bounds, it updates the trend accordingly. This feature enables traders to identify potential shifts in market sentiment and make timely adjustments to their trading strategies.
█ Advantages over Regular RSI:
Enhanced Range Boundaries:
The inclusion of size parameters in Stepped Moving Average allows for more precise determination of the upper and lower bounds of the moving average range. This feature provides traders with a clearer understanding of the potential price levels that can influence market behavior. Consequently, it aids in setting more effective entry and exit points for trades.
Improved Trend Identification:
The trend variable in Stepped Moving Average helps traders identify changes in market trends more accurately. By considering the previous trend value and comparing it to the current RSI and previous bounds, Stepped Moving Average captures trend reversals with greater precision. This capability empowers traders to respond swiftly to market shifts and potentially capture more profitable trading opportunities.
Smoother Moving Averages:
Stepped Moving Average's ability to adjust the moving average range bounds based on trend changes and size parameters results in smoother moving averages. Regular RSI calculations may produce jagged or erratic results due to abrupt market movements. Stepped Moving Average mitigates this issue by dynamically adapting the range boundaries, thereby providing traders with more reliable and consistent moving average signals.
Complementary Functionality with Slow RSI:
Stepped Moving Average and Slow RSI function in harmony to provide a comprehensive trading analysis toolkit. While Stepped Moving Average refines the moving average calculation process, Slow RSI offers a more accurate representation of market strength. The combination of these two functions facilitates a deeper understanding of market dynamics and assists traders in making better-informed decisions.
What is a Discontinued Signal Line (DSL)?
Many indicators employ signal lines to more easily identify trends or desired states of the indicator. The concept of a signal line is straightforward: by comparing a value to its smoothed, slightly lagging state, one can determine the current momentum or state.
The Discontinued Signal Line builds on this fundamental idea by extending it: rather than having a single signal line, multiple lines are used based on the indicator's current value.
The "signal" line is calculated as follows:
When a specific level is crossed in the desired direction, the EMA of that value is calculated for the intended signal line.
When that level is crossed in the opposite direction, the previous "signal" line value is "inherited," becoming a sort of level.
This approach combines signal lines and levels, aiming to integrate the advantages of both methods.
In essence, DSL enhances the signal line concept by inheriting the previous signal line's value and converting it into a level.
Extras
-Alerts
-Signals
Related indicators:
Step RSI
PC*VC Moving Average oldThe code calculates the "Price Coefficient" (PC) and "Volume Coefficient" (VC) for three different lengths. PC is calculated by taking the difference between the current price (close or TP) and the simple moving average of the price, divided by the mean absolute deviation around the (MAD) of the price. VC is calculated by dividing the current volume by the simple moving average of the volume for each length.
The code calculates the "Intraday Volatility" (IDV), which is the difference between the high and low prices divided by the price.
The code calculates the average IDV for each of the three lengths.
The code calculates the "IDV Ratio" by dividing IDV by the average IDV for each length.
The code calculates the "PC*VC/IDV Ratio" for each length by multiplying PC, VC, and IDV Ratio.
The code calculates the average PC*VC/IDV Ratio by averaging the three calculated ratios.
The code calculates the moving average of the average PC*VC/IDV Ratio using the user-defined moving average window size.
The code performs calculations to determine the average and standard deviation of PC*VC/IDV Ratio for positive and negative values separately, using the user-defined look-back length. It stores the positive and negative values in separate variables.
The code plots the PC*VC/IDV Ratio as a line on the chart. The color of the line is determined based on its value. If the value is greater than 2, it is plotted in green. If the value is between 0 and 2, it is plotted in a yellowish color. If the value is negative, it is plotted in red.
The code plots lines representing the mean plus 1.5 standard deviations (SD) for positive values, the mean plus 3 SD for positive values, the mean minus 1.5 SD for negative values, and the mean minus 3 SD for negative values. These lines help identify potential overbought or oversold conditions.
The code plots the overall average of the PC*VC/IDV Ratio as a line on the chart.
Overall, this code calculates the PC*VC/IDV Ratio indicator, which combines price, volume, and intraday volatility information. The indicator's values are plotted on the chart, along with reference lines indicating potential overbought or oversold conditions.
Top - Bottom Using MAThis script is used decide weather stock is overbought or oversold in given length/days from the settings.
using close difference from ohlc4 moving average ratio.
Settings Available
1) moving average length
2) Highest / Lowest ratio length
3) Difference Between Highest and Lowest Line
this script plot/display 4 lines
1) highest difference from moving averages in provided length.
2) lowest difference from moving averages in provided length.
3) ratio of moving average and ohlc4
4) linear regression moving averages of ratio of moving average and ohlc4
How to use this script
1) when ratio line is touch 2 days to highest ratio line means we are consider stock is in overbought levels or linear regression moving average above highest ratio line means overbought.
2) when ratio lines cross below its linear regression moving average then we consider final exit or book profit.
3) when linear regression moving average below lowest ratio line means stock is in oversold.
4) when linear regression moving average below lowest ratio line and linear regression line start rising after fall it means there is change in trend.
5) when linear regression moving average cross above lowest ratio line it means trend is changed and linear regression line turns green.
20/200MAs+LTF+4HTF and HighLowBox+3HTF20/200MAs
Shows 20 and 200 MAs in each TFs(tfChart,1 Lower and 4 Higher).
TFs:
current TF
Lower TF (default: lower1)
Higher TF1 (default: higher1)
Higher TF2 (default: higher1)
Higher TF3 (default: higher1)
Higher TF4 (default: higher1)
MAs:
20MA (default: sma)
1st 200MA (default: sma)
2nd 200MA (default: ema)
VWAP (optional)
HighLowBox+3HTF
Enclose in a square high and low range in each timeframe.
Shows price range and duration of each box.
In current timeframe, shows Fibonacci Scale inside(23.6%, 38.2%, 50.0%, 61.8%, 76.4%)/outside of each box.
Outside(161.8%,261.8,361.8%) would be shown as next target, if break top/bottom of each box.
1st box for current timeframe.
2nd box for higher timeframe.(default: higher1)
3rd box for higher timeframe.(default: higher2)
4th box for higher timeframe.(default: higher3)
static timeframes can also be used.
RSI Multi Timeframe Based on Moving Average By Alireza PhoenixHi. I have prepared for you the multi-time frame RSI indicator based on moving average
You can use it in three different time frames
Open the settings and put the value you want in the Time 1 and Time 2 fields
In the fast and slow section, specify the length of the moving period of fast and slow origins as desired
In the offset section, you can add or reduce the time interval as you wish
This indicator shows you the RSI index in three different time frames along with two different lengths of the moving average based on the RSI index.
You can use this indicator in all financial, forex or crypto markets
The crossing of RSI and moving average lines in different time frames and lengths will give you a buy or sell signal.
Whenever the faster line or smaller RSI total frame succeeds in breaking the slower line or the RSI time is higher than the low, a free signal is issued and vice versa.
I do not guarantee that 100% of the issued signals are accurate and correct, and I have coded this indicator only for your convenience.
I hope you can get help from this indicator and make profit
Love From IRAN
RSI Xray + VolumeRSI Analysis:
The indicator calculates the Relative Strength Index (RSI) using a user-defined length (default: 14).
It colors the bars based on RSI levels to identify potential overbought and oversold conditions.
Bars exceeding the overbought level (default: 70) are colored, while bars below the oversold level (default: 30) are colored too.
This helps traders identify potential trend reversals or market exhaustion points.
Midpoint Analysis:
The indicator calculates the midpoint of each bar, which is the average of the high and low prices.
It colors the bars based on their relation to the midpoint.
Bars above the midpoint are colored, indicating potential bullish momentum.
Bars below the midpoint are colored, suggesting potential bearish momentum.
Volume Analysis:
The indicator offers the ability to analyze volume changes and identify high volume bars.
It colors the bars when the volume exceeds a user-defined threshold.
This feature helps traders identify potential areas of market interest and increased participation.
Moving Average (SMA):
The indicator plots a Simple Moving Average (SMA) line of the closing price over a user-defined period (default: 9).
This moving average line helps traders identify potential trends and spot areas of support or resistance.
RSI Extreme Conditions:
The indicator identifies extreme RSI conditions by comparing the current RSI value with the highest and lowest RSI values calculated from a user-defined number of previous bars (default: 10).
When the RSI exceeds the overbought level but is lower than the highest RSI value within the specified range, the bar color changes to a customizable color (default: blue).
Conversely, when the RSI falls below the oversold level but is higher than the lowest RSI value within the specified range, the bar color changes to the same customizable color.
This feature helps traders identify potential RSI-based trading opportunities and market turning points.
Customization:
The indicator offers customizable settings for colors, RSI levels, SMA length, volume thresholds, RSI extreme levels, and RSI label color.
Traders can modify these settings based on their preferences and trading strategies.
Overall, the 'RSI Xray + Volume' indicator provides a comprehensive view of RSI levels, market momentum, volume changes, and RSI extreme conditions. Traders can use this information to identify potential trade setups, validate market trends, and make more informed trading decisions. It can be applied to various timeframes and instruments, making it a valuable tool for both short-term and long-term traders.
Wilder's RSI + DivergencesWilder's RSI + Divergences
Description:
The Wilder's RSI + Divergences study is a powerful tool for traders using the TradingView platform. This custom Pine Script study combines Wilder's Relative Strength Index (RSI) with the identification of regular and hidden divergences, providing valuable insights into potential market reversals and trend changes. This comprehensive study includes the calculation of the RSI using Wilder's smoothing method, the plotting of the RSI and its Exponential Moving Average (EMA), and the detection of divergences based on pivot points.
Key Features:
Wilder's RSI Calculation: The study accurately calculates the RSI using J. Welles Wilder Jr.'s well-known smoothing method, providing a reliable measure of the asset's price strength or weakness.
Regular Divergence Identification: The study automatically detects regular bullish and bearish divergences. Regular bullish divergences occur when the RSI forms a lower low while the price forms a higher low. Regular bearish divergences occur when the RSI forms a higher high while the price forms a lower high. These divergences can indicate potential trend reversals or trend continuation possibilities.
Hidden Divergence Identification: The study also identifies hidden bullish and bearish divergences. Hidden bullish divergences occur when the RSI forms a higher low while the price forms a lower low. Hidden bearish divergences occur when the RSI forms a lower high while the price forms a higher high. Hidden divergences often signal the continuation of an existing trend.
Customizable Parameters: The study allows users to customize various parameters, including the length of RSI calculation, the length of the RSI's EMA, the lookback periods for identifying pivot points, and the range for considering pivot points. Users can adjust these parameters to suit their trading strategies and preferences.
Visual Representation: The study plots the RSI, its EMA, and the identified regular and hidden divergences directly on the chart. This visual representation provides traders with a clear and intuitive understanding of potential trading opportunities.
Protecting the Source Code:
The source code for this study is protected to ensure its originality and maintain the integrity of the algorithm. By safeguarding the code, it prevents unauthorized distribution or modification, preserving the study's uniqueness and value. This protection ensures that the study remains exclusive to the TradingView platform, enhancing the user experience and maintaining the trust of traders who rely on this tool for their analysis and decision-making.
Instructions for Use:
Add the Wilder's RSI + Divergences study to your chart.
Customize the study parameters, such as RSI length, EMA length, lookback periods, and range, to align with your trading preferences.
Analyze the chart to identify regular and hidden divergences in the RSI. Regular bullish and bearish divergences indicate potential trend reversals, while hidden divergences suggest trend continuation possibilities.
Adjust your trading strategy or make informed decisions based on the identified divergences and the overall market context.
Note: This study is designed to be a valuable tool in your technical analysis process. It is essential to combine it with other indicators, price action analysis, and risk management techniques for comprehensive trading decisions.
By utilizing the Wilder's RSI + Divergences study, traders can gain deeper insights into market dynamics, identify potential trading opportunities, and make more informed trading decisions.
MACD Fake Filter [RH]Introducing a new indicator for the TradingView community based on the MACD indicator! This innovative tool goes beyond traditional MACD signals by analyzing positive and negative waves to determine the average height of the waves to filter false cross-over or cross-under signals during the sideways market.
There are two types of waves created by the MACD line, one is a positive wave above the "zero" line and another is a negative wave below "zero" line. Each wave has peaks. This indicator will find the average height of the positive waves' peaks and plot as a green line(by default). Vice-versa it will also find the average height of the negative waves' peaks and plot as a red line(by default).
Example :
This indicator will show labels when the MACD line crosses-under the MACD signal line above the average height of the positive waves.
Vice-versa, the indicator will show labels when the MACD line crosses-above the MACD signal line below the average height of the negative waves.
Example:
Alerts are also available for these types of cross-over and cross-under.
StDev RSI +Alright, let's dive into this script, which I like to call 'StDev RSI+'. It's a unique take on the classic Relative Strength Index (RSI), a popular tool among traders that helps identify potential overbought or oversold conditions in a stock. But what makes our StDev RSI+ special is how it normalizes price changes against the standard deviation, taking into account the volatility of the stock prices.
The main difference between the original script and this new 'StDev RSI+' script lies in the method of normalization used to calculate price changes. In the original script, the normalization was done using the average of current and previous closing prices. This approach is quite simple and direct, essentially comparing the day-to-day change relative to the average price.
However, the StDev RSI+ script takes a more sophisticated approach. It normalizes the price changes against the standard deviation of the closing prices over a defined period. This method takes into account the volatility of the stock price, providing a measure of how much the prices have been fluctuating during that period.
This means the StDev RSI+ script doesn't just look at the raw change in price, but rather it considers how significant that change is compared to the usual volatility of the stock. So, a big price change may not be considered as significant if the stock is typically very volatile. Conversely, a smaller price change could be seen as more meaningful if the stock is usually quite stable.
Another notable difference is the length of the period used for calculations. While the original script used a period of 14 units (days, weeks, etc.), the StDev RSI+ script uses a period of 153 units. This longer timeframe will smooth out the RSI line and make it less sensitive to individual price changes, but more reflective of longer-term trends.
In essence, while both scripts aim to provide useful trading signals through the RSI, they offer different perspectives. The original script provides a more straightforward, immediate view of price changes, while the StDev RSI+ script offers a volatility-adjusted, longer-term perspective.
Relative strength of a stock against the sugar index (Top 18)This indicator can be used for sugar stocks to compare their relative strength with that of their respective industry. It can also be used to gauge the momentum in sugar stocks against the other indexes like Nifty, Bank Nifty, CNXIT, CNXAUTO and check which index is outperforming the other.
Made with reference to the index published by Stef @Scheplick
ARSIXARSIX
I have written this indicator after two years of continuous experience in writing and backtesting for several different indicators, and I believe that this indicator with its high capabilities can show you the best point of entry into the market as well as exit from it. arsix should work with any time frame and any instrument used.
This indicator has many points to understand so that you can make the best possible use of it, in the following I will try to bring you some of the most important points:
First, we will have an introduction of the different parts of the indicator:
The above line is a relatively simple but very useful formula to determine the momentum of chart. To understand the exact formula, you can refer to the source of the program itself, and its two colors are used to determine the direction of movement.
At the bottom, we have three opposing elements.
The first is the RSI14 line with dark blue color, the second is the RMA or Relative Momentum Index(RMI20) line with the number 20 for Momentum , which will significantly help us understand the overall momentum of the chart, this part is also made in two colors to increase or It will show the decline of the overall momentum of the chart.
And finally, we have a bar chart that is again created in two colors, and this histogram also calculates the momentum chart with a different formula.
And now let's talk about how to interpret these tools and how to use them for Trading:
At first, you may have the question that all these different indicators are not excessive to determine the momentum chart and are all of them necessary? In response, I must say that yes, each of these parts has been selected and made with great care and with my previous experience, the full explanation of each of these parts is beyond the scope of this article, and I will try to explain it in short words. I will give you a general understanding of each one of them and the rest is up to you to find out their capabilities by working more with these tools.
The main thing is to know that none of these tools alone will bring you success and it is their teamwork together that will help you achieve success.
For the sake of simplicity, I will tell you when to open a buy position with this indicator And you can then use this definition of the main thread to interpret the rest of the capabilities of this indicator.
To open a buy position, first the upper indicator should turn light blue, at the same time, the RMI indicator should also turn light blue, and you should also see that this RMI indicator shows the momentum of the overall chart in order to increase. in this case you will be almost sure that the general trend of the chart is towards the rise of the price. In the next step, to determine the exact point of the Entry, you have to wait until the RSI indicator passes the number 50 in this state and at the same time, make sure that the histogram also turns green and shows the increasing direction of momentum in the market, when the RSI is in This state crossed the number 50, you can enter the buy position, it should be noted that due to a series of restrictions, I have moved the RSI indicator down by 50 numbers, so as a result, the number 50 for RSI here is equivalent to The same number zero.
This was an example of how to work with this indicator, I hope that it helped you to understand how to use this indicator. In the end, I would like to point out again that the main topic is understanding the group and mutual behavior of each of the indicators' tools together. For example, if the RSI indicator crosses the number 50 here, but the histogram does not grow or shows a small growth, this indicates that the movement will be low, or for another example, if the RSI indicator cross over From the RMI indicator, This means that the market is very high, and as a result, it is a great opportunity to hold a buy position. In the same way, other parts of this indicator can also be interpreted in opposition to each other.
I hope this indicator will help you in better trades. I look forward to your constructive comments. Thanks Hamid Moradi.
RSI +This enhanced RSI script, titled "RSI +", is designed to provide traders with more detailed and nuanced information about market conditions.
// INPUTS
The length input allows you to specify the number of periods used in the RSI calculation, with a default value of 14.
The Source input designates the price used for the calculations, typically the closing price.
// CALCULATIONS + PLOTTING
The RSI itself is then calculated as 50 plus 50 times the ratio of two RMAs (Running Moving Averages) - one of the gain_loss, and another of the absolute value of gain_loss. Both RMAs use the specified length.
This script also plots several horizontal lines (bands) at fixed levels: 70, 60, 50, 40, and 30. These bands help to visually delineate areas of potential overbought (above 70) and oversold (below 30) conditions, as well as median levels. The color of the plotted RSI line changes depending on its relation to these bands and its own simple moving average (Moving_Average), providing an additional visual cue.
----------------------
What sets this script apart from a standard RSI is its unique calculation method. Unlike the traditional RSI, which simply compares the magnitude of recent gains to recent losses, this script incorporates a normalization factor (norm), calculated as the average of the current and previous period's source prices. The gain or loss (gain_loss) is then determined by dividing the change in the source price by this normalization factor. This method can potentially reduce noise and improve accuracy.
Always remember, though, that no indicator should be used in isolation. The best results are often achieved when they're used as part of a comprehensive trading strategy that considers multiple aspects of market analysis. This script, with its unique enhancements, could be used with other technical indicators like Moving Averages to ascertain the direction of the prevailing trend, while volume-based indicators like Volume-Weighted Average Price (VWAP) could provide insights into the strength behind price movements.
RSI Momentum Trend ScreenerIntroducing The RSI Momentum Trend Screener, to have the ability to scan 40 symbols at once
The screener is based on RSI Momentum Trend Indicator
It will show Positive Or Negative based on the symbol condition.
You can change the values on the screener, symbols, activate/disable symbols and change table position and color
HighLowBox 1+3TF Enclose in a square high and low range in each timeframe.
Shows price range and duration of each box.
In current timeframe, shows Fibonacci Scale inside(23.6%, 38.2%, 50.0%, 61.8%, 76.4%)/outside of each box.
Outside(161.8%,261.8,361.8%) would be shown as next target, if break top/bottom of each box.
1st box for current timeframe.(default: Chart)
2nd-4th box for higher timeframes.(default: higher1,higher2,higher3)
static timeframes can also be used.
Advanced Volatility-Adjusted Momentum IndexAdvanced Volatility-Adjusted Momentum Index (AVAMI)
The AVAMI is a powerful and versatile trading index which enhances the traditional momentum readings by introducing a volatility adjustment. This results in a more nuanced interpretation of market momentum, considering not only the rate of price changes but also the inherent volatility of the asset.
Settings and Parameters:
Momentum Length: This parameter sets the number of periods used to calculate the momentum, which is essentially the rate of change of the asset's price. A shorter length value means the momentum calculation will be more sensitive to recent price changes. Conversely, a longer length will yield a smoother and more stabilized momentum value, thereby reducing the impact of short-term price fluctuations.
Volatility Length: This parameter is responsible for determining the number of periods to be considered in the calculation of standard deviation of returns, which acts as the volatility measure. A shorter length will result in a more reactive volatility measure, while a longer length will produce a more stable, but less sensitive measure of volatility.
Smoothing Length: This parameter sets the number of periods used to apply a moving average smoothing to the AVAMI and its signal line. The purpose of this is to minimize the impact of volatile periods and to make the indicator's lines smoother and easier to interpret.
Lookback Period for Scaling: This is the number of periods used when rescaling the AVAMI values. The rescaling process is necessary to ensure that the AVAMI values remain within a consistent and interpretable range over time.
Overbought and Oversold Levels: These levels are thresholds at which the asset is considered overbought (potentially overvalued) or oversold (potentially undervalued), respectively. For instance, if the AVAMI exceeds the overbought level, traders may consider it as a possible selling opportunity, anticipating a price correction. Conversely, if the AVAMI falls below the oversold level, it could be seen as a buying opportunity, with the expectation of a price bounce.
Mid Level: This level represents the middle ground between the overbought and oversold levels. Crossing the mid-level line from below can be perceived as an increasing bullish momentum, and vice versa.
Show Divergences and Hidden Divergences: These checkboxes give traders the option to display regular and hidden divergences between the AVAMI and the asset's price. Divergences are crucial market structures that often signal potential price reversals.
Index Logic:
The AVAMI index begins with the calculation of a simple rate of change momentum indicator. This raw momentum is then adjusted by the standard deviation of log returns, which acts as a measure of market volatility. This adjustment process ensures that the resulting momentum index encapsulates not only the speed of price changes but also the market's volatility context.
The raw AVAMI is then smoothed using a moving average, and a signal line is generated as an exponential moving average (EMA) of this smoothed AVAMI. This signal line serves as a trigger for potential trading signals when crossed by the AVAMI.
The script also includes an algorithm to identify 'fractals', which are distinct price patterns that often act as potential market reversal points. These fractals are utilized to spot both regular and hidden divergences between the asset's price and the AVAMI.
Application and Strategy Concepts:
The AVAMI is a versatile tool that can be integrated into various trading strategies. Traders can utilize the overbought and oversold levels to identify potential reversal points. The AVAMI crossing the mid-level line can signify a change in market momentum. Additionally, the identification of regular and hidden divergences can serve as potential trading signals:
Regular Divergence: This happens when the asset's price records a new high/low, but the AVAMI fails to follow suit, suggesting a possible trend reversal. For instance, if the asset's price forms a higher high but the AVAMI forms a lower high, it's a regular bearish divergence, indicating potential price downturn.
Hidden Divergence: This is observed when the price forms a lower high/higher low, but the AVAMI forms a higher high/lower low, suggesting the continuation of the prevailing trend. For example, if the price forms a lower low during a downtrend, but the AVAMI forms a higher low, it's a hidden bullish divergence, signaling the potential continuation of the downtrend.
As with any trading tool, the AVAMI should not be used in isolation but in conjunction with other technical analysis tools and within the context of a well-defined trading plan.
Edri Extreme Points Buy & SellEDRI EXTREME POINTS BUY & SELL INDICATOR
This Buy and Sell (non-repainting) indicator uses signals based on the combined CCI/Momentum and RSI indicators and optional regular divergence.
The idea of the indicator is to look for a potential reversal after the price reached extreme points (overbought or oversold) and signals an entry when the price shows signs of momentum for reversal.
Optionally, it considers finding a divergence while RSI is at the extreme levels to improve the predictability of a possible reversal.
Additionally, the indicator includes a simple Mean Reversion visual on the chart to assist users in identifying extreme price levels and potential reversal opportunities. It features upper and lower bands that can be optionally plotted, showing calculated values where price bounces at those extreme levels.
The purpose of these bands is to help traders avoid getting trapped in the middle of a trend and to guide them to buy low and sell high. (It's important to note that this is purely a visual aid and does not impact the generation of trade signals.)
By utilizing the Mean Reversion bands alongside the entry conditions, traders can gain insights into potential price reversals and make more informed decisions about when to enter or exit trades.
Buy and Sell Entry conditions:
• The indicator looks at the CCI/Momentum indicator to turn positive (if buy) or negative (if sell) after the RSI was overbought or oversold in the recent past.
• It also checks if there is a 3-period regular bullish divergence in the RSI (if buy), or regular bearish divergence (if sell) and consider these in the entry condition.
• If these conditions are met, this indicator suggests that it may be a good time to enter a trade.
In summary this is how this indicator works:
• The indicator takes input settings such as the choice between using CCI or Momentum as the entry signal source, length parameters for CCI/Momentum, RSI levels for overbought and oversold conditions, RSI length, and options to plot mean reversion bands on the chart.
• It calculates the CCI and Momentum and RSI values based on user-defined length..
• It checks for regular bullish and bearish divergences (3 periods) in the RSI if the option is enabled.
• The script plots shapes on the chart to indicate the buy and sell signals based on the entry conditions.
• If the mean reversion bands option is enabled, it calculates the mean reversion, standard deviation, upper band, and lower band values.
• It also plots the upper band, mean reversion line, and lower band on the chart if the mean reversion bands option is enabled.
• This indicator includes alert conditions to generate alerts for the buy and sell signals.
• On top of that, users can opt to use only one alert for both buy and sell signals. (This can save Trading view subscribers with limited alerts.)
Important! Please do not consider everything you read here as financial advice. Additionally, do not rely solely on indicators for making your trading decisions. It is important to note that no indicator or strategy is perfect. Therefore, it is always recommended to backtest everything and practice proper risk management.
I appreciate your feedback on this indicator. As I am new to script development, I am open to comments and suggestions to improve it. If you encounter any issues while using this indicator, please let me know in the comments section. If you find it helpful, I kindly ask for your support in boosting it. Thank you for your cooperation.
Volume Price Trend (VPT)
The Volume Price Trend (VPT) is a technical analysis indicator that combines price and volume data. It's used to identify the direction of a trend or to confirm the strength of a trend. The indicator was developed on the premise that volume often precedes price.
Working of VPT:
VPT is calculated by adding or subtracting a multiple of the percentage change in the share price trend and current volume, depending upon the direction of the share price. The starting point of the VPT line is arbitrary.
The formula for calculating VPT is:
VPT = Previous VPT + Volume x (Today's Close - Previous Close)
This formula adds the total volume traded on the days the price went up, and subtracts the total volume on the days the price went down.
For each period:
If the closing price is higher than the previous closing price, the volume for that period is added to the previous VPT.
If the closing price is lower than the previous closing price, the volume for that period is subtracted from the previous VPT.
If the closing price is the same as the previous closing price, the volume for that period does not affect the VPT (i.e., it remains the same as the previous VPT).
Usage and Interpretation of VPT:
The primary use of the VPT is to help confirm the condition of prices. It’s usually used in combination with other technical analysis indicators. Here are some ways traders use the VPT:
Trend Confirmation: A rising VPT line typically confirms an uptrend as it shows that volume is increasing as prices increase. Conversely, a falling VPT line confirms a downtrend.
Divergences: Traders often look for divergences between the VPT and price movements as a sign of upcoming reversals. If prices are rising and the VPT is falling, it suggests that the upward trend may not sustain because it isn't being supported by volume. Similarly, if prices are falling and the VPT is rising, it suggests the downward trend may reverse soon.
Change in Trend: A sudden sharp increase in the VPT could signal a possible change in trend. This is based on the belief that volume changes before price.
In the script provided, the VPT is calculated and then rescaled to a 0-100 scale, which makes it easier to compare across different stocks or time periods. This script also colors the VPT line based on whether it's increasing or decreasing. The color is green when VPT is increasing, and red when it's decreasing.
Enjoy!
Price Exhaustion IndicatorThe Price Exhaustion Indicator (PE) is a powerful tool designed to identify trends weakening and strengthening in the financial markets. It combines the concepts of Average True Range (ATR), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator to provide a comprehensive assessment of trend exhaustion levels. By analyzing these multiple indicators together, traders and investors can gain valuable insights into potential price reversals and long-term market highs and lows.
The aim of combining the ATR, MACD, and Stochastic Oscillator, is to provide a comprehensive analysis of trend exhaustion. The ATR component helps assess the volatility and range of price movements, while the MACD offers insights into the convergence and divergence of moving averages. The Stochastic Oscillator measures the current price in relation to its range, providing further confirmation of trend exhaustion. The exhaustion value is derived by combining the MACD, ATR, and Stochastic Oscillator. The MACD value is divided by the ATR value, and then multiplied by the Stochastic Oscillator value. This calculation results in a single exhaustion value that reflects the combined influence of these three indicators.
Application
The Price Exhaustion Indicator utilizes a unique visual representation by incorporating a gradient color scheme. The exhaustion line dynamically changes color, ranging from white when close to the midline (40) to shades of purple as it approaches points of exhaustion (overbought at 100 and oversold at -20). As the exhaustion line approaches the color purple, this represents extreme market conditions and zones of weakened trends where reversals may occur. This color gradient serves as a visual cue, allowing users to quickly gauge the strength or weakness of the prevailing trend.
To further enhance its usability, the Price Exhaustion Indicator also includes circle plots that signify potential points of trend reversion. These plots appear when the exhaustion lines cross or enter the overbought and oversold zones. Red circle plots indicate potential short entry points, suggesting a weakening trend and the possibility of a downward price reversal. Conversely, green circle plots represent potential long entry points, indicating a strengthening trend and the potential for an upward price reversal.
Traders and investors can leverage the Price Exhaustion Indicator in various ways. It can be utilized as a trend-following tool, or a mean reversion tool. When the exhaustion line approaches the overbought or oversold zones, it suggests a weakening trend and the possibility of a price reversal, helping identify potential market tops and bottoms. This can guide traders in timing their entries or exits in anticipation of a trend shift.
Utility
The Price Exhaustion Indicator is particularly useful for long-term market analysis, as it focuses on identifying long-term market highs and lows. By capturing the gradual weakening or strengthening of a trend, it assists investors in making informed decisions about portfolio allocation, trend continuation, or potential reversals.
In summary, the Price Exhaustion Indicator is a comprehensive and visually intuitive tool that combines ATR, MACD, and Stochastic Oscillator to identify trend exhaustion levels. By utilizing a gradient color scheme and circle plots, it offers traders and investors valuable insights into potential trend reversals and long-term market highs and lows. Its unique features make it a valuable addition to any trader's toolkit, providing a deeper understanding of market dynamics and assisting in decision-making processes. Please note that future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance.
Savitzky-Golay Filtered Chande Momentum OscillatorThe Savitzky-Golay Filtered Chande Momentum Oscillator (SGCMO) is a modified version of the Chande Momentum Oscillator that functions as a powerful analytical tool, capable of detecting trends and mean reversals. By applying a Savitzky-Golay filter to the price data, the oscillator provides enhanced visualization and smoother readings. (credit to © anieri for the Savitzky-Golay filter code: www.tradingview.com)
Chande Momentum Oscillator
The Chande Momentum Oscillator (CMO) is a technical indicator developed by Tushar Chande. It measures the momentum of an asset's price movement and provides insights into the overbought or oversold conditions of the market. The CMO calculates the difference between the sum of positive price changes and the sum of negative price changes over a specified period, and then normalizes it to a scale between -100 and +100. Traders and investors use the CMO to identify potential trend reversals, confirm the strength of a current trend, and generate buy or sell signals.
Smoothing
The Savitzky-Golay filter is a digital filter commonly employed for smoothing and noise reduction in time-series data. In the context of the SGCMO, the aim is to effectively smooth the CMO values, reducing the impact of short-term fluctuations and providing clearer insights into underlying trends. Additionally, an exponential moving average (EMA) filter is applied to further reduce noise and enhance trend visibility. This filtered CMO indicator may provide traders and investors with a clearer and more refined representation of momentum changes in the underlying asset, helping them make more informed trading decisions.
Application
The SGCMO serves as both a trend-following and mean-reversion tool. Traders can track the current trend using bullish white lines or bearish orange lines in trending markets. Alternatively, they can utilize green and red vertical lines, which indicate price retracement and help capture pullbacks and reversals. Green vertical lines appear when the trend reverses upwards in an oversold zone (-50 to -80), while red vertical lines indicate negative trend reversals in an overbought zone (50 to 80). Opening long positions when green and white lines appear, or short positions when red and orange lines are visible, can be considered. However, it is advisable to combine this indicator with other complementary technical analysis tools and incorporate it into a comprehensive trading strategy to maximize its effectiveness.
Kalman Filtered ROC & Stochastic with MA SmoothingThe "Smooth ROC & Stochastic with Kalman Filter" indicator is a trend following tool designed to identify trends in the price movement. It combines the Rate of Change (ROC) and Stochastic indicators into a single oscillator, the combination of ROC and Stochastic indicators aims to offer complementary information: ROC measures the speed of price change, while Stochastic identifies overbought and oversold conditions, allowing for a more robust assessment of market trends and potential reversals. The indicator plots green "B" labels to indicate buy signals and blue "S" labels to represent sell signals. Additionally, it displays a white line that reflects the overall trend for buy signals and a blue line for sell signals. The aim of the indicator is to incorporate Kalman and Moving Average (MA) smoothing techniques to reduce noise and enhance the clarity of the signals.
Rationale for using Kalman Filter:
The Kalman Filter is chosen as a smoothing tool in the indicator because it effectively reduces noise and fluctuations. The Kalman Filter is a mathematical algorithm used for estimating and predicting the state of a system based on noisy and incomplete measurements. It combines information from previous states and current measurements to generate an optimal estimate of the true state, while simultaneously minimizing the effects of noise and uncertainty. In the context of the indicator, the Kalman Filter is applied to smooth the input data, which is the source for the Rate of Change (ROC) calculation. By considering the previous smoothed state and the difference between the current measurement and the predicted value, the Kalman Filter dynamically adjusts its estimation to reduce the impact of outliers.
Calculation:
The indicator utilizes a combination of the ROC and the Stochastic indicator. The ROC is smoothed using a Kalman Filter (credit to © Loxx: ), which helps eliminate unwanted fluctuations and improve the signal quality. The Stochastic indicator is calculated with customizable parameters for %K length, %K smoothing, and %D smoothing. The smoothed ROC and Stochastic values are then averaged using the formula ((roc + d) / 2) to create the blended oscillator. MA smoothing is applied to the combined oscillator aiming to further reduce fluctuations and enhance trend visibility. Traders are free to choose their own preferred MA type from 'EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', and 'PEMA' (credit to: © traderharikrishna for this code: ).
Application:
The indicator's buy signals (represented by green "B" labels) indicate potential entry points for buying assets, suggesting a bullish trend. The white line visually represents the trend, helping traders identify and follow the upward momentum. Conversely, the sell signals (blue "S" labels) highlight possible exit points or opportunities for short selling, indicating a bearish trend. The blue line illustrates the bearish movement, aiding in the identification of downward momentum.
The "Smoothed ROC & Stochastic" indicator offers traders a comprehensive view of market trends by combining two powerful oscillators. By incorporating the ROC and Stochastic indicators into a single oscillator, it provides a more holistic perspective on the market's momentum. The use of a Kalman Filter for smoothing helps reduce noise and enhance the accuracy of the signals. Additionally, the indicator allows customization of the smoothing technique through various moving average types. Traders can also utilize the overbought and oversold zones for additional analysis, providing insights into potential market reversals or extreme price conditions. Please note that future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance.
RSI Divergence Screener by zdmreThis screener tracks the following for up to 20 assets:
-All selected tickers will be screened in same timeframes (as in the chart).
-Values in table indicate that how many days passed after the last Bullish or Bearish of RSI Divergence.
For example, when BTCUSDT appears Bullish-Days Ago (15) , Bitcoin has switched to a Bullish Divergence signal 15 days ago.
Thanks to @QuantNomad and @MUQWISHI for building the base for this screener.
*Use it at your own risk
Note:
Screener shows the information about the RSI Divergence Scanner by zdmre with default settings.
Based indicator:
ADXcellenceThis advanced trading indicator, inspired by Dr. Charles B. Schaap's book "ADXcellence: Power Trend Strategies", leverages the principles of the Average Directional Index (ADX) to help traders identify and exploit trending conditions in the market.
The ADXcellence Indicator uses multiple levels of analysis to evaluate the strength and direction of trends.
In addition to the classic ADX+DMI input settings, these features are included:
ADX Slope Signal: This parameter, controls the sensitivity of the ADX slope, which will indicate when the trend strength is increasing or decreasing.
The indicator provides three trend levels: strong trend level, trending level, and low volatility level, which can be customized to suit various trading strategies.
The color gradients for the ADX, DI+, and DI- lines are designed to visually represent the trend strength from the low volatility level to the strong trend level. The indicator also uses a dynamic background color, highlighting the periods when the ADX is rising. The color will vary depending on the dominant DI.
The ADXcellence Indicator also offers a unique feature of dynamically adjusting the fill between DI+ and DI-, with the color and fill intensity changing based on the relative value of the two.
This indicator is a powerful tool for traders who use trend-following strategies and is best used in conjunction with other technical analysis tools to confirm signals and avoid potential false signals.
Remember, no indicator is perfect and every trading strategy should include risk management and proper due diligence.
Enjoy :)
