Investor Satisfaction/Price Divergence Ox_kali The "Investor Satisfaction/Price Divergence" is an indicator designed to quantify investor satisfaction and pinpoint potential price divergences.
The primary goal of this indicator is to provide a reliable tool for gauging investor sentiment and identifying price divergences. These insights can be instrumental in predicting possible market trend reversals.
Key Features
Calculation of the highest and lowest prices over a user-defined period.
Computation of the average satisfaction of investors who have invested over a user-defined period.
Normalization of average satisfaction between 0 and 1 to provide a standardized measure of investor sentiment.
Identification of price divergence between the normalized satisfaction and the actual asset price.
Detection of anomalies in satisfaction change, which can suggest unusual market conditions.
Plotting an histogram display of the difference between normalized satisfaction and price divergence.
Functionality Analysis:
This indicator begins by identifying the highest and lowest prices over a period defined by the user. It then calculates the average investor satisfaction based on the change in the closing price from the investment point to the current price, relative to the range between the highest and lowest prices.
This satisfaction measure is then normalized between 0 and 1, providing a uniform measure of investor sentiment. The indicator also identifies potential price divergence by comparing the normalized satisfaction with the normalized price. This divergence is then plotted as a histogram, with the color of the histogram bars indicating whether the market is oversold, overbought, or in a normal state. Anomalies in satisfaction change are highlighted, helping traders to spot unusual market behavior.
Trading Application
The "Investor Satisfaction & Price Divergence" indicator can be incorporated into a variety of trading strategies. A significant divergence between normalized satisfaction and the asset price can signal a potential market reversal. Additionally, a sudden drop or rise in investor satisfaction could indicate a sell-off or a buying spree, respectively. Additionally, the capability to spot irregularities in satisfaction change may be useful in recognizing unusual market conditions, possibly providing early indications of noteworthy market events
Please note that the investor Satisfaction/Price Divergence by Ox_kali is provided for educational purposes only and is not meant to constitute financial advice. Thi indicator is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
Emotion
Investor Satisfaction & Price Divergence by 0x_kali Investor Satisfaction & Price Divergence by 0x_kali is an adaptation of the Mason's Line Indicator with the inclusion of a normalized price divergence system. For more information on the Mason's Line Indicator, refer to the link provided:
In this script, average investor satisfaction is normalized between 0 and 1. This normalization is achieved by subtracting the minimum satisfaction and dividing by the difference between the maximum and minimum satisfaction over the chosen period. Consequently, the normalized average satisfaction can never be less than 0.
The blue divergence line illustrates the difference between normalized satisfaction and the normalized asset price. When normalized average satisfaction rests on the divergence line, it signifies that the difference between normalized satisfaction and the normalized asset price is zero or near-zero.
This phenomenon often triggers a strong price rebound for various reasons:
Market Sentiment: If investor satisfaction is equal or very close to the asset price, it could indicate positive sentiment or a general consensus on the asset's value. Such positive sentiment can increase demand, leading to a rebound in prices.
Alignment of Interests: When investor satisfaction aligns with the asset price, it might suggest that investors view the current price as fair or balanced. In this scenario, investors could be more inclined to buy or hold the asset, potentially driving up prices.
Market Rebalancing: If investor satisfaction reaches the divergence line after a period of substantial divergence, it could signal market rebalancing. Investors may perceive the gap between satisfaction and price as too significant, prompting them to adjust their positions and causing a price rebound.
Additionally, on larger timeframes such as 6H, 12H, and 1D, the price may become trapped between the SMA and the divergence line. Historically, an escape from this zone has signaled the end of a bear market, indicating a potential change in market direction.
Please note that the Investor Satisfaction & Price Divergence is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
Wave TrendThe Wave Trend indicator is based on the Mason’s Line Indicator.
This indicator is a sentiment analysis tool designed to help traders understand and analyze market trends. It works by calculating the average investor satisfaction of a group of investors. The results are displayed as colored squares at the bottom of the chart. For more information, read the description of the Mason's Line Indicator.
This indicator is not developed for use on short timeframes. It is an indicator that is best suited for longer timeframes, ideal for swing trading or long-term trading.
There are two main display parameters:
Display the coloured squares according to the distance to the sma (default value).
Display the squares according to the position of satisfaction in relation to the scale of the indicator.
there are two secondary settings for each of these options:
Display the squares by normalizing the values of the dataset between 0 and 1.
Display the squares without normalizing the value of the dataset between 0 and 1 (default value).
Please note that the Wave Trend Indicator is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
Mason’s Line IndicatorThe Macon Strategy is an idea conceived by Didier Darcet , co-founder of Gavekal Intelligence Software. Inspired by the Water Level, an instrument used by masons to check the horizontality or verticality of a wall. This method aims to measure the psychology of financial markets and determine if the market is balanced or tilting towards an unfavorable side, focusing on the behavioral risk of markets rather than economic or political factors.
The strategy examines the satisfaction and frustration of investors based on the distance between the low and high points of the market over a period of one year. Investor satisfaction is influenced by the current price of the index and the path taken to reach that price. The distance to the low point provides satisfaction, while the distance to the high point generates frustration. The balance between the two dictates investors’ desire to hold or sell their positions.
To refine the strategy, it is important to consider the opinion of a group of investors rather than just one individual. The members of a hypothetical investor club invest successively throughout the past year. The overall satisfaction of the market on a given day is a democratic expression of all participants.
If the overall satisfaction is below 50%, investors are frustrated and sell their positions. If it is above, they are satisfied and hold their positions. The position of the group of investors relative to the high and low points represents the position of the air bubble in the water level. Market performance is measured day by day based on participant satisfaction or dissatisfaction.
In conclusion, memory, emotions, and decision-making ability are closely linked, and their interaction influences investment decisions. The Macon Strategy highlights the importance of the behavioral dimension in understanding financial market dynamics. By studying investor behavior through this strategy, it is possible to better anticipate market trends and make more informed investment decisions.
Presentation of the Mason’s Line Indicator:
The main strategy of this indicator is to measure the average satisfaction of investors based on the position of an imaginary air bubble in a tube delimited by the market’s highs and lows over a given period. After calculating the satisfaction level, it is then normalized between 0 and 1, and a moving average can be used to visualize trends.
Key features:
Calculation of highs and lows over a user-defined period.
Determination of the position of the air bubble in the tube based on the closing price.
Calculation of the average satisfaction of investors over a selected period.
Normalization of the average satisfaction between 0 and 1.
Visualization of normalized or non-normalized average satisfaction levels, as well as their corresponding moving averages.
User parameters:
Period for min and max (days) : Sets the period over which highs and lows will be calculated (1 to 365 days).
Period for average satisfaction (days) : Determines the period over which the average satisfaction of investors will be calculated (1 to 365 days).
Period for SMA : Sets the period of the simple moving average used to smooth the data (1 to 1000 days).
Bubble_value : Adjustment of the air bubble value, ranging from 0 to 1, in increments of 0.025.
Normalized average satisfaction : Option to choose whether to display the normalized or non-normalized average satisfaction.
Please note that the Mason’s Line Indicator is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
teo +The True Emotion Oscillator is a combination of multiple signals such as stochRSI, Macd , Fisher, etc to gauge the emotion of the market based on a -100-+100 scale. I wanted to incorporate a visual style that would appeal to people while keeping it simple. This indicator also has divergence detection built in, but I think it lags behind based on the filter settings. Ideally I would remake this part of the script to be realtime detection.
How to use:
Buy when the signal is below 0 and starts to turn around. Sell when above 0 and turns back down.
Utilize divergence theory to find better entries.
Settings:
Change your chart background color to a solid #171a27 if you want to match my colors.
Signal smoothing - smooths the signal line to reduce noise.
Divergence Filter - How many bars back to start looking for divergences.
Show Hidden Divergence - Shows hidden divergences
Show Pivots - Turns on/off dots
True Emotion OscillatorThe True Emotion Oscillator is a combination of multiple signals such as stochRSI, Macd, Fisher, etc to gauge the emotion of the market based on a -100-+100 scale. I wanted to incorporate a visual style that would appeal to people while keeping it simple. This indicator also has divergence detection built in, but I think it lags behind based on the filter settings. Ideally I would remake this part of the script to be realtime detection.
How to use:
Buy when the signal is below 0 and starts to turn around. Sell when above 0 and turns back down.
Utilize divergence theory to find better entries.
Settings:
Change your chart background color to a solid #171a27 if you want to match my colors.
Signal smoothing - smooths the signal line to reduce noise.
Divergence Filter - How many bars back to start looking for divergences.
Show Hidden Divergence - Shows hidden divergences
Show Pivots - Turns on/off dots
Fear N GreedOverview
The goal of this script was to apply the concept of Herd Mentality. While one voice may seem unique, when you combine all the voices together they average out and show an overall emotion of the herd. We should be able to apply this concept to indicators, giving us the Fear and Greed of the markets.
How to Use
Buy when there is fear and sell when there is greed. Pay attention to changes in direction of the indicator. If the data is fearful and the data is starting to change direction, it signals that it's probably a good time to buy because greed is slowly starting to enter the market. You can use this indicator in any time frame, just check the past data to determine how useful it will be for that specific period.
Options
Smoothing : This will smooth the data. Try to stay around 5-15. High values will cause the indicator to lag
Line Width : Visually changes the width of the data line
Top Band +- : Moves the top band up or down
Bot Band +- : Moves the bottom band up or down
Mid Band Width : Adjusts the width of the middle region
Fear Alert Level >= : Sets when the alert will start to trigger
Greed Alert Level >= : Sets when the alert will start to trigger
Indicators
There are multiple indicators used in this script. I used the Stochastic RSI to measure strength in the market. This combines well with the MACD indicator by giving you really good entry and exit points. There is an indicator combining money flow and rate of return to give a basic emotion of the data. I also included breadth and momentum and several others to help gauge the direction of the market. I then normalize all of the indicators between 0-100 so that I can get an overall average, smooth the noise, and ultimately plot the data.
Bands
While making this script I noticed flowing regions of the data that would act as support and resistance so I did my best to calculate where they might fall. I essentially take the high and low data points from various lengths averaging them and then apply a smoothing filter to the band. I then noticed that between the bands there was a significant region that acted as a middle resistance and support. I decided the best way to make this region was to take the average high + average low of the data and divide it by 2 to get the center region. The reason I did this instead of just using the mid point of the bands was because when the data stays in a similar region it creates resistance, so it's more accurate to base the mid point on a shorter time frame rather than the overall bands of higher timeframes.
Alerts
Alerts are set up based on the change in data direction. If you set Fear as the alert for Fear Alert >= it will wait for a change in direction if the data is greater than or equal to the selected Fear level.
When setting alerts, make sure to use Once Per Bar Close as the option. There are 3 alert types: Fear Alert, Greed Alert, and Fear and Greed Alert. Fear and Greed Alert will combine the alerts into one message so that it's usable for free accounts. Fear Alert and Greed Alert will only message for those specific positions.
(8) Closing Score VS-345Closing Score discloses to traders the sentiment of the traders in control of the current price. If we can accurately determine trader’s sentiment, we can determine where the market is heading.
Closing Score utilizes a very simple concept and formula to determine the trader's collective sentiment. The formula (((Close – Low) / (High – Low) * 100)) produces a range that is extracted from the true range of the stock’s activity. The High to the Low within the time frame / bars you have chosen. The final output of the formula produces a finite score, between 0 and 100 that indicates to the trader, what the sentiment of the traders where, at the conclusion of this bar or at the end of the trading day. This is displayed on a graph with 10 horizontal stratifications (shown below) each representing 1/10 of the indicators total range of 100. The final dots utilized to indicate the output of this indicator are then rounded to allow placement within the graphs stratification.
The closer the indicator's outputted signal comes to either extreme, zero or 100, the stronger the correlation is between the closing score and future price movements. 97 to 100 are very strong positive signals. 0 to 3 are very negative signals and both have been validated as statically significant, Three-Sigma-Signals. Additionally, we have added an interior band within the placement of the dots to indicate that their proximity is within 3% of the extreme reading of this indicator. If the volume is above the 14 day moving average it is indicated by placing a dot within the center of the indicator dots to denote a volume confirmation of this specific indicators signal. Dots that are both within the statistically relevant, extreme range and the volume for these bars were above the 14 day moving average produce a bulls-eye.
If you study or use candlestick analysis in your trading, you can think of Closing Score as an automatic candle stick analysis tool. Take a look at any candlestick pattern and compare the point of the closes in that pattern with its corresponding closing score and you will see a very strong correlation, greater than 95%, between what the Closing Score indicates and what the candlestick pattern is indicating.
There is an in-depth explanation of this indicator on our website as well as multiple resources related to understanding trader emotions and sentiment. This indicator was published in the Journal of Technical Analysis of Stock and Commodities; June, 2016 by Michael Slattery.
Access this Genie indicator for your Tradingview account, through our web site. (Links Below) This will provide you with additional educational information and reference articles, videos, input and setting options and trading strategies this indicator excels in.
