Moonhub IndexMoonhub Index combines several popular technical indicators to create an aggregated index that aims to give a clearer overall picture of the market. The index takes into account the current market condition (trending, ranging, or volatile) to adjust its calculations accordingly.
The indicators used in this composite index are:
Hull Moving Average (HMA)
Fisher Transform (FT)
Williams Alligator
Moving Average Convergence Divergence (MACD)
Average True Range (ATR)
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution (AD)
Pivot Points
True Strength Index (TSI)
Volume-Weighted Average Price (VWAP)
The script calculates the values of each indicator and then normalizes and weighs them according to predefined weights. The composite index is formed by summing the weighted values of each indicator. The final Moon Index is plotted on the chart, along with several other related lines like the exponential moving averages (EMA) and simple moving averages (SMA) of the index.
This custom index can be used by traders to get a more comprehensive view of the market and make better-informed trading decisions based on the combined insights of multiple indicators.
M-oscillator
Moonhub Cycle IndexMoonhub Cycle Index is a composite index derived from three popular technical analysis indicators: Moving Average Convergence Divergence (MACD), Schaff Trend Cycle (STC), and Detrended Price Oscillator (DPO). The indicator is designed to help identify potential trends and market sentiment by combining the unique characteristics of each indicator.
Key components of the indicator include:
Input Parameters:
COEMA Length (len_DIema): The length of the Exponential Moving Average (EMA) applied to the Custom Index. Default is set to 9.
COSMA Length (len_DIsma): The length of the Simple Moving Average (SMA) applied to the Custom Index. Default is set to 30.
Indicators:
MACD: A momentum oscillator that shows the relationship between two moving averages of a security's price. It is calculated using the difference between the 12-period and 26-period EMA, and a 9-period EMA (signal line) of the MACD.
STC: A cyclic indicator that identifies cyclical trends in the market. It is calculated using the Stochastic oscillator formula applied to the close, high, and low prices over a 10-period lookback window.
DPO: A price oscillator that eliminates the trend from price data to focus on underlying cycles. It is calculated using a custom function that shifts the price by half the length and subtracts the SMA from the shifted price.
Custom Index: The composite index is calculated by taking the average of the MACD line, STC, and DPO.
COEMA and COSMA: Exponential and Simple Moving Averages applied to the Custom Index using the lengths specified by the input parameters (len_DIema and len_DIsma).
Plots: The Custom Index, COEMA, and COSMA are plotted with different colors and line widths to visualize their interaction and provide insights into potential market trends.
This Custom Index Indicator can be useful for traders who want to analyze the market using a combination of these indicators to make more informed decisions. It can also help identify potential trends and market sentiment by combining the unique characteristics of each indicator.
Momentum Covariance Oscillator by TenozenWell, guess what? A new indicator is here! Again it's a coincidence, as I experiment with my formula. So far it's less noisy than Autoregressive Covariance Oscillator, so possibly this one is better. The formula is much simpler, care me to explain.
___________________________________________________________________________________________________
Yt = close - previous average
Val = Yt/close
___________________________________________________________________________________________________
Welp that's the formula lol. Funny thing is that it's so simple, but it's good! What matters is the use of it haha.
So how to use this Oscillator? If the value is above 0, we expect a bullish response, if the value is below 0 we expect a bearish response. That simple. Ciao.
(Any questions and suggestions? feel free to comment!)
Sakura 2The oscillator uses an adaptive moving average as input to another RSI oscillator and is designed to provide a way to minimize the impact of corrections on the output of the oscillator without significant lag.
An additional trigger line is present in order to provide entry points from intersections between the oscillator and the trigger line.
I'll be working on the code to add and describe the privileges and the best settings
Settings
=Lengthy : period of the oscillator
=Power : controls the sensitivity of the oscillator to retracements, with higher values minimizing the sensitivity to retracements.
=Src : source input of the indicator
The indicator also includes the following graphical settings:
=Gradient : Determines the color mode to use for the gradient, options include "Red To Green", "Red To Blue" and "None", with "None" displaying no gradient.
=Color fill : Determines whether to fill the area between the oscillator and the trigger line or not, by default "On".
=Circles : Determines whether to show circles highlighting the crosses between the oscillator and the trigger line.
Weighted Momentum and Volatility Indicator (WMI)The Weighted Momentum and Volatility Indicator (WMI) is a composite technical analysis tool that combines momentum and volatility to identify potential trend changes in the underlying asset.
The WMI is displayed as an histogram that oscillates around a zero line, with increasing bars indicating a bullish trend and decreasing bars indicating a bearish trend.
The WMI is calculated by combining the Rate of Change (ROC) and Average True Range (ATR) indicators.
The ROC measures the percentage change in price over a set period of time, while the ATR measures the volatility of the asset over the same period.
The WMI is calculated by multiplying the normalized values of the ROC and ATR indicators, with the normalization process being used to adjust the values to a scale between 0 and 1.
Traders and investors can use the WMI to identify potential trend changes in the underlying asset, with increasing bars indicating a bullish trend and decreasing bars indicating a bearish trend.
The WMI can be used in conjunction with other technical analysis tools to develop a comprehensive trading strategy.
Do not hesitate to let me know your comments if you see any improvements to be made :)
Oscillator: Which follows Normal Distribution?When doing machine learning using oscillators, it would be better if the oscillators were normally distributed.
So I analyzed the distribution of oscillators.
The value of the oscillator was divided into 50 groups each from 0 to 100.
ex) if rsi value is 45.43 -> group_44, 58.23 -> group_58
Ocscillators : RSI, Stoch, MFI, WT, RVI, etc....
Caution: The normal distribution was verified through an empirical formula.
Fetch Buy And Hold StrategyThis script was created as an experiment using ChatGPT. I actually woudn't recommend using the ai program to help you with your Pinescripts, as it makes a fair amount of mistakes. It was a fun experiment however.
The script is a simple buy and hold tool. Here's what it does:
- Everytime the rsi enters below the set treshold, a counter increases.
- The second increase of the counter happens when the price goes above the treshold, and then dips below the treshold again.
- The program would fire off a buy signal when the counter hits the number 3.
- After the buy. the counter will reset.
Lets take a look at the following example where the rsi treshold is 30:
- So the rsi dips below 30 and the initial counter is set from 0 to 1.
- The price rises which brings the rsi back to 40.
- Then another dip happens and the rsi is now 25, increasing the counter from 1 two.
- Rsi now dips to 23 and nothing happens.
- Rsi goes back up to 31, and dips back to 28 which puts the counter at 3. A buy singal is now fired and the counter is set to 0.
Paranoia IndicatorThe Paranoia Indicator is a technical analysis tool that combines three popular indicators: Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Stochastic. The Paranoia Indicator formula is calculated by taking a weighted average of the three indicators, with the weights being 23.6%, 61.8%, and 14.6%, respectively.
The Paranoia Indicator is used to identify potential trend reversals and overbought/oversold conditions in the market. When the indicator is above zero, it is considered bullish, and when it is below zero, it is considered bearish. The Paranoia Indicator also has extreme bands that help to identify when the market is overbought or oversold.
Traders can use the Paranoia Indicator in conjunction with other technical analysis tools to confirm trading signals and make more informed trading decisions. The Paranoia Indicator is suitable for all types of markets, including stocks, forex, and commodities, and can be applied to any time frame.
Overall, the Paranoia Indicator is a useful tool for traders looking to identify potential trend reversals and overbought/oversold conditions in the market.
Local Model Kalman Market ModeIntroduction
Heyo guys, I made a new (repainting) indicator called Local Model Kalman Market Mode.
I created it, because I wanted a reliable market mode filter for a potential mean-reversion strategy (e. g. BB Scalping).
On the screenshot you can see an example of how to use it in a BB strategy.
E.g. you would enter long when you have bullish divergence, price is under lower BB, price is under PoC and this indicator here shows range-bound market phase.
You would exit long on cross of the middle band.
Description
The indicator attempts to model the underlying market using different local models (i.e., trending, range-bound, and choppy) and combines them using the T3 Six Pole Kalman Filter to generate an overall estimate of the market.
The Fisher Transform is applied on the price to reach a Gaussian distribution, which increases the accuracy of the indicator itself.
The script first defines state variables for each local model, which include trend direction, trend strength, upper and lower bounds of the range, volatility of the range, level of choppiness, and strength of noise.
Then, likelihood functions are defined for each local model based on the state variables.
Next, the script calculates weights for each local model based on their likelihoods and uses them to calculate state variables for the overall estimate.
Finally, the script combines the state variables using the T3 Six Pole Kalman Filter to generate the overall estimate of the market, which is plotted in blue.
Fundamental Knowledge
To understand the explanation of the indicator and the script, there are a few fundamental concepts that you need to know:
Market: A market is a place where buyers and sellers come together to exchange goods or services.
In the context of trading, the market refers to the exchange where financial instruments such as stocks, currencies, and commodities are bought and sold.
Local models: Local models are statistical models that attempt to capture the characteristics of a particular market regime.
For example, a trending market may have different characteristics than a range-bound market or a choppy market.
The indicator uses different local models to capture the different market regimes.
Trend direction and strength: The trend direction refers to the direction in which the market is moving, either up or down.
The trend strength refers to the magnitude of the trend and how likely it is to continue.
Range-bound market: A range-bound market is a market where prices are trading within a specific range, with a clear upper and lower bound.
Choppiness: Choppiness refers to the degree of irregularity in price movements, often seen in sideways or range-bound markets.
Volatility: Volatility refers to the degree of variation in the price of an asset over time. High volatility implies larger price swings, while low volatility implies smaller price swings.
Kalman filter: A Kalman filter is a mathematical algorithm used to estimate an unknown variable from a series of noisy measurements.
In the context of the indicator, the Kalman filter is used to generate an overall estimate of the market by combining the local models.
T3 Six Pole Kalman Filter: The T3 Six Pole Kalman Filter is a specific type of Kalman filter that is used to smooth and filter time-series data, such as the price data of a financial instrument.
Fisher Transform: The Fisher Transform is a mathematical formula used to transform any probability distribution into a Gaussian normal distribution. It is commonly used in technical analysis to transform non-Gaussian indicators into ones that are more suitable for statistical analysis.
By understanding these fundamental concepts, you should have a basic understanding of how the indicator works and how it generates an overall estimate of the market.
Usage
You can use this indicator on every timeframe.
Users can customize the parameters of the T3 Six Pole Kalman Filter (T3 length, alpha, beta, gamma, and delta) using input functions.
Try out different parameter combinations and use the one you like most.
Thank you for checking this out. Leave me a comment or boost the script, when you wanna support me! 👌
--
Credits to:
▪@HPotter - Fisher Transform
▪@loxx - T3
▪ChatGPT - Helped me to make the research for this indicator and helped to build the core algorithm.
Autoregressive Covariance Oscillator by TenozenWell to be honest I don't know what to name this indicator lol. But anyway, here is my another original work! Gonna give some background of why I create this indicator, it's all pretty much a coincidence when I'm learning about time series analysis.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
Well, the formula of Auto-covariance is:
E{(X(t)-(t) * (X(t-s)-(t-s))}= Y_s
But I don't multiply both values but rather subtract them:
E{(X(t)-(t) - (X(t-s)-(t-s))}= Y_s?
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
For arm_vald, the equation is as follows:
arm_vald = val_mu + mu_plus_lsm + et
val_mu --> mean of time series
mu_plus_lsm --> val_mu + LSM
et --> error term
As you can see, val_mu^2. I did this so the oscillator is much smoother.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
After I get the value, I normalize them:
aco = Y_s? / arm_vald
So by this calculation, I get something like an oscillator!
(more details in the code)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
So how to use this indicator? It's so easy! If the value is above 0, we gonna expect a bullish response, if the value is below 0, we gonna expect a bearish response; that simple. Be aware that you should wait for the price to be closed before executing a trade.
Well, try it out! So far this is the most powerful indicator that I've created, hope it's useful. Ciao.
(more updates for the indicator if needed)
Hull PressureThis amazing oscillator displays the difference between the hull average calculated on the close of the candles and the one calculated between the average of the highs and lows.
This allows the user to identify the pressure of the closing price over the average, useful to identify trends, divergences, and reversals.
This indicator also has two dynamic overbought and oversold areas, calculated over the past extreme highs and lows of the oscillator.
Rolling Candle Closes Summationscript to sum rolling 20 (default) period's prices together
use on volume indicators to get the likes of McClellan Summation
User selection: rolling periods to add
Degen Dominator - (Crypto Dominance Tool) - [mutantdog]A fairly simple one this time. Another crypto dominance tool, consider it a sequel to Dominion if you will. Ready to go out-of-the-box with a selection of presets at hand.
The premise is straightforward, rather than viewing the various marketcap dominance indexes as their standard percentage values, here we have them represented as basic oscillators. This allows for multiple indexes to be viewed in one pane and gives a decent overview of their relative changes and thus the flow of capital within the overall crypto market. As a general rule-of-thumb, when a plot is above zero then the dominance is climbing, thus capital is likely flowing in that direction. The inverse applies when below zero. When the market is quiet, all will be close to zero. Basic overbought/oversold conditions can also be inferred too.
Active as default are:
Bitcoin (0range): CRYPTOCAP:BTC.D
Ethereum (Blue): CRYPTOCAP:ETH.D
Stablecoins (Red): CRYPTOCAP:USDT.D + CRYPTOCAP:USDC.D
Altcoins (Green): 100 - (all of the above)
These are plotted according to the selected oscillator preset and it's length parameter. The default is set to 'EMA Centre'. An optional RMA(3) smoothing filter is also included and active as default. Each index plot has its own colour and opacity settings available on the main page.
Additionally, the following are also available (deactivated as default):
Total DeFi : CRYPTOCAP:TOTALDEFI.D
Current Symbol : Will try to match corresponding dominance index for the chart symbol if available.
Custom Input : Manual text input, will try to match if available.
-------------
The included presets determine the oscillator type used, all are fairly simple and easy to interpret:
EMA Centre
SMA Centre
Median Centre
Midrange Centre
The first 4 are all variations on the same theme, simply calculated as the difference between the actual value and its respective average. EMA is the default and is my personal preference, if you generally favour using an SMA then perhaps that would be your better choice. Like the two MAs, median and midrange are also dependant on the length parameter. Midrange is calculated from the difference between highest and lowest values within the length period, with a little extra smoothing from an RMA(3).
Simple Delta
Weighted Delta
Running Delta
Often referred to as momentum, delta is just change over time. 'Simple' is the most basic of these, the difference between the current value and the value (length) bars prior. A more long-winded way of calculating this would be to take the difference between each bar and its previous then average them with an SMA which results in the same value. 'Weighted' adopts that principle but instead uses a WMA, likewise 'Running' is the same but using an RMA. The latter is actually the basis of RSI calculations before any normalisation is applied, as you can see in the next preset.
RSI
CMO
RSI really should not need explaining, it is however applied a little differently here to the usual, in this case centred around 0. The x100 multiplication factor has been dropped too for the sake of consistency. The same principle applies with CMO, which is basically a 'Simple Delta' version of RSI.
Hard Floor
Soft Floor
These last two are a little different but both can provide useful interpretations. The floor here is simply the lowest value within the chosen length period. 'Hard' plots the difference between the current value and the floor, thus giving a value that is always above 0. In this case, focus should be given to the relative heights of each with a simple interpretation that capital is flowing into those that are climbing and out of those descending. 'Soft' is essentially the same except that the floor is smoothed with an RMA(3), the result being that when new lows are made, the plot will break below 0 before the floor corrects a few bars later. This soft break provides additional information to that given by 'Hard' so is probably the more useful of the two.
------------
To finish it off, a bunch of preset alerts are included for the various 0 crossings.
So that just about covers everything then, all quite straightforward really. Future updates may include some extra stuff, the composition of the stablecoin index may change if necessary too. While this is not really a tweaker's tool like some of my other projects, there's still some room for experimentation here. The 'current' and 'custom' indexes can provide some useful data for compatible altcoins and the possibility to compare inter-related tokens (eg: Doge vs Shib). While i introduced this as a sort of sequel to Dominion, it is not intended as a replacement but more of a companion. This initially started as a feature intended for that one but it quickly grew into its own thing. Both the oscillator view here and the more traditional view have merits, i personally use this one primarily now but frequently refer to Dominion for confirmations etc.
That's it for now anyway. As always, feedback is welcome below. Enjoy!
Correlation AnalysisAs the name suggests, this indicator is a market correlation analysis tool.
It contains two main features:
- The Curve: represents the historic correlation coefficient between the current chart and the “Reference Market” input from the settings menu. It aims to give more depth to the current correlation values found in the second feature.
- The Screener: this second feature displays all correlation coefficient values between the (max) 20 markets inputs. You can use it to create several screeners for several market types (crypto, forex, metals, etc.) or even replicate your current portfolio of investments and gauge the correlation of its components.
Aside from these two previous features, you can visually plot the variation rate from one bar to another along with the covariance coefficient (both used in the correlation calculation). Finally, a simple “signal” moving average can be applied to the correlation coefficient .
I might add alerts to this script or even turn it into a strategy to do some backtesting. Do not hesitate to contact me or comment below if this is something you would be interested in or if you have any suggestions for improvement.
Enjoy!!
Jdawg Sentiment Momentum Oscillator EnhancedThe Jdawg Sentiment Momentum Oscillator Enhanced (JSMO_E) is a versatile technical analysis indicator designed to provide traders with insights into potential trend changes and overbought or oversold market conditions. JSMO_E combines the principles of the Relative Strength Index (RSI), the Simple Moving Average (SMA), and the Rate of Change (ROC) to create a comprehensive tool for assessing market sentiment and momentum.
The uniqueness of JSMO_E lies in its ability to integrate the RSI, SMA of RSI, and ROC of RSI, while also allowing users to customize the weight of the ROC component. This combination of features is not commonly found in other indicators, which increases its distinctiveness.
To effectively use JSMO_E, follow these steps:
Apply the JSMO_E indicator to the price chart of the asset you are analyzing.
Observe the plotted JSMO_E line in relation to the zero line, overbought, and oversold levels.
When the JSMO_E line crosses above the zero line, it may signal the beginning of an uptrend or bullish momentum. Conversely, when the JSMO_E line crosses below the zero line, it may indicate the start of a downtrend or bearish momentum.
Overbought and oversold levels, marked by the red and green dashed lines, respectively, can serve as a warning that a trend reversal may be imminent. When the JSMO_E line reaches or surpasses the overbought level, it might indicate that the asset is overvalued and could experience a price decline. Conversely, when the JSMO_E line reaches or goes below the oversold level, it can signal that the asset is undervalued and may experience a price increase.
Adjust the input parameters (RSI Period, SMA Period, ROC Period, and ROC Weight) as needed to optimize the indicator for the specific market and time frame you are analyzing.
The JSMO_E indicator is suitable for various markets, including stocks, forex, commodities, and cryptocurrencies. However, its effectiveness may vary depending on the market conditions and time frames used. It is recommended to use JSMO_E in conjunction with other technical analysis tools and methods to confirm potential trade setups and improve overall trading performance. Always conduct thorough backtesting and forward-testing before employing any indicator in a live trading environment.
Triple RSI Indicator with ToggleThis script combines three relative strength index (RSI) indicators with different periods, and allows the user to toggle between them to generate overbought and oversold signals. The indicator is named "Triple RSI Indicator with Toggle" and has the short title "TRSI-T."
The input parameters for the RSI periods are set by the user and include a short RSI with a period of 5, a main RSI with a period of 14, and a long RSI with a period of 28. The overbought and oversold levels for each RSI can also be set by the user.
The script plots the three RSI lines on the chart and calculates a bar color based on the enabled RSI values. If all three RSI values are overbought, the bar color is set to fuchsia, if all three RSI values are oversold, the bar color is set to aqua, and if neither of these conditions is met, the bar color is set to not available.
The script also includes a fast RSI and an RSI exponential moving average (EMA) with adjustable periods. The RSI fast line is plotted along with the RSI EMA line, and a cloud fill is generated between the two lines. The fill color is based on whether the fast RSI line is above or below the RSI EMA line, with a blue color used for long signals and a pink color used for short signals.
This indicator can be used as part of a trading strategy in a number of ways. Here are a few examples:
Overbought and Oversold Signals: When the bar color of the indicator is fuchsia, it indicates that all three RSIs are overbought, and when the bar color is aqua, it indicates that all three RSIs are oversold. These signals can be used to enter a trade in the opposite direction, anticipating a reversal in price.
RSI Divergence: Traders can also look for divergences between the price and the RSI values. For example, if the price is making higher highs but the RSI values are making lower highs, it could indicate that the price trend is weakening and a reversal may be imminent. Conversely, if the price is making lower lows but the RSI values are making higher lows, it could indicate that the price trend is about to reverse.
RSI Cloud Signals: The cloud fill generated between the fast RSI and RSI EMA lines can be used to generate trading signals. When the fast RSI line is above the RSI EMA line and the fill color is blue, it can be a signal to go long. When the fast RSI line is below the RSI EMA line and the fill color is pink, it can be a signal to go short.
If anybody has some interesting thoughts on how to improve it, let me know!!
Advanced RSI with Volatility Bands [RedWhite]English - Introduction
This indicator uses a standard RSI of 14 periods, however, instead of using static lines of 70 and 30 to identify overbought and oversold zones, a moving average band is added, similar to the Bollinger Bands indicator.
Español - Introducción
Este indicador utiliza un RSI estándar de 14 períodos, sin embargo, en lugar de utilizar líneas estáticas de 70 y 30 para identificar las zonas de sobrecompra y sobreventa, se agrega una banda de medias móviles similar al indicador de las Bandas de Bollinger.
English - Calculation
The moving average band is constructed by calculating a moving average (default of 70 periods) on the standard RSI of 14 periods. From this average, volatility bands are applied, drawing an upper and lower band by using a standard deviation (default of 1).
Español - Cálculo
La banda de medias móviles se construye calculando una media móvil (por defecto de 70 períodos) sobre el RSI estándar de 14 períodos. A partir de esta media, se aplican bandas de volatilidad, dibujando así una banda superior e inferior mediante el uso de una desviación estándar (por defecto de 1).
English - Interpretation
When the RSI surpasses the upper band, the chart's background is shaded by default (green) to signal a possible overbought situation. On the other hand, when the RSI surpasses the lower band, the chart's background is shaded by default (red) to signal a possible oversold situation. The indicator can be customized in terms of period length, moving average values, and standard deviations. In addition, background colors can be adjusted according to the user's preferences.
Español - Interpretación
Cuando el RSI supera la banda superior, el fondo del gráfico se sombra de un color por defecto (verde) para señalar una posible situación de sobrecompra. Por otro lado, cuando el RSI supera la banda inferior, el fondo del gráfico se sombrea de un color por defecto (rojo) para señalar una posible situación de sobreventa. El indicador se puede personalizar en cuanto a la longitud de los períodos, los valores de la media móvil y las desviaciones estándar. Además, los colores del fondo se pueden ajustar según las preferencias del usuario.
English - Conclusion
By incorporating moving average bands, the indicator can provide more precise signals that are adjusted to changing market conditions. Additionally, the function of coloring the background can help traders visualize overbought and oversold zones clearly and make informed decisions accordingly. It is important to note that this indicator is not infallible and should be used in conjunction with other indicators and market analysis to make informed trading decisions.
Español - Conclusión
Al incorporar bandas de medias móviles, el indicador puede proporcionar señales más precisas ajustadas a las condiciones cambiantes del mercado. Además, la función de colorear el fondo puede ayudar a los traders a visualizar claramente las zonas de sobrecompra y sobreventa y tomar decisiones informadas en consecuencia. Es importante tener en cuenta que este indicador no es infalible y debe ser utilizado junto con otros indicadores y análisis del mercado para tomar decisiones de trading informadas.
English: For comparison purposes, the standard 14-period RSI is presented above, and below it, the standard 14-period RSI with volatility bands is shown.
Español: Con fines comparativos, se presenta el RSI estándar de 14 períodos arriba, y debajo se muestra el RSI estándar de 14 períodos con bandas de volatilidad.
English: RSI of 14 periods with a band of moving averages of 70 periods and a standard deviation with a value of 1
Español: RSI de 14 periodos con una banda de medias móviles de 70 periodos y una desviación estándar con un valor de 1
English: RSI of 14 periods with a band of moving averages of 70 periods and a standard deviation with a value of 0
Español: RSI de 14 periodos con una banda de medias móviles de 70 periodos y una desviación estándar con un valor de 0
English - Note
This indicator is inspired by Blai5's "Advanced RSI".
Español- Nota
Este indicador está inspirado en el "RSI Avanzado" de Blai5.
WillyCycle Oscillator&DoubleMa/ErkOzi/"This code creates a technical analysis indicator used to calculate and visualize the WillyCycle oscillator and double moving average indicators on the price of a financial asset. The functionality can be summarized as follows:
*Calculate the WillyCycle oscillator: The WillyCycle is an oscillator calculated based on the highest and lowest values of an asset. This oscillator is used to measure overbought or oversold conditions of the asset.
*Calculate the double moving average: The double moving average helps determine trends by calculating the short-term and long-term moving averages of asset prices.
*Use the WillyCycle oscillator and double moving average indicators together: The WillyCycle oscillator is combined with the double moving averages to provide a clearer indication of overbought and oversold conditions.
*Visualize the indicator with color coding: The indicator is color-coded to show overbought and oversold conditions. Additionally, line and background colors are changed to make the indicator more readable.
Many parameters can be adjusted on the indicator: The indicator can be customized and modified by the user. For example, the period of the WillyCycle oscillator and the lengths of the double moving averages can be adjusted."
The strategy is based on two indicators - the WillyCycle oscillator and the double moving average. The WillyCycle oscillator measures overbought and oversold conditions of the asset based on its highest and lowest values. The double moving average calculates short-term and long-term moving averages of the asset's price, which can help identify trends.
The WillyCycle oscillator and the double moving average are combined in this strategy to provide a clearer indication of overbought and oversold conditions. When the WillyCycle oscillator indicates that the asset is oversold and the short-term moving average crosses above the long-term moving average, it may signal a buy opportunity. Conversely, when the WillyCycle oscillator indicates that the asset is overbought and the short-term moving average crosses below the long-term moving average, it may signal a sell opportunity.
To make it easier for traders to read and interpret the indicator, color-coding is used to indicate overbought and oversold conditions. The user can also customize the indicator by adjusting parameters such as the period of the WillyCycle oscillator and the lengths of the double moving averages.
*ıt provides successful buy and sell signals for price reversals.
*You can open counter trades in overbought and oversold areas by following the averages.
RSI Divergence Method█ OVERVIEW
This is a divergence indicator based on Relative Strength Index (RSI).
My attempt to make this indicator updated based on latest pine script features such as type, object and method.
█ FEATURES
1. Color of plot and label is based on contrast color of chart background. Able to customize color from style menu.
2. Big divergence (Regular Divergence) is based on lime / red color.
3. Small divergence (Hidden Divergence) is based on contrast color of chart background.
█ EXAMPLES / USAGES
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.
SynthSAR ConfirmationThis indicator represents confirmation of a trend based on the PSAR indicator and includes signals from the MACD, stochastic oscillator, and awesome oscillator. It displays the points of the parabolic SAR on the chart, which help determine the direction of the trend. Additionally, the indicator allows for tracking signals based on the combined analysis of three other technical indicators: MACD, stochastic oscillator, and awesome oscillator. Furthermore, the indicator includes the ability to display buy/sell labels and signals for changing the trend direction. This is not an investment recommendation.Very effective in higher timeframes.If the MACD "macd line" crosses the "signal line" from above and the Stochastic %K line crosses the %D line from above, and the last column in the Avesome Oscillator is red, then the indicator gives a signal to sell. If the MACD "macd line" crosses the "signal line" from below and the Stochastic %K line crosses the %D line from below, and the last column in the Avesome Oscillator is green, then the indicator gives a signal to buy.
Rainbow Collection - VioletMoving averages come in all shapes and types. The most basic type is the simple moving average which is simply the sum divided by the quantity. Therefore, the simple moving average is the sum of the values divided by their number.
In technical analysis, you generally use moving averages to understand the underlying trend and to find trading signals. In the case of the Violet indicator, we are using a Hull moving average which is a special variation based on different weights to minimize lag.
The Violet indicator is therefore used as follows:
* A bullish signal is generated whenever the close price surpasses the 20-period Hull moving average while the previous close prices from periods were all below their respective Hull moving average of the period.
*A bearish signal is generated whenever the close price breaks the 20-period Hull moving average while the previous close prices from periods were all above their respective Hull moving average of the period.
The aim of the Violet indicator is to capture reversals as early as possible through a combination of lagged conditions based on the Fibonacci sequence.
Cryptocurrency Market Sentiment v1.0Introduction:
Capable of observing the market sentiment of the cryptocurrency market
The relative status of BTC and altcoins
How it works:
1. The general uptrend process of the cryptocurrency market is BTC → ETH → high-cap altcoins → low-cap altcoins. When funds cannot push up BTC's market cap, funds gradually flow into smaller-cap altcoins until the upward trend ends.
2. Select ETH as the representative of altcoins, and understand the sentiment and current stage
3. Mathematical principle : divide the price of ETH by the price of BTC, and then apply it to the RSI formula .
How to use it:
1. Similar to the RSI indicator , when CMS enters the overbought zone, it represents an active altcoin market, a passionate market sentiment , and the end of the uptrend.
2. When CMS enters the oversold zone, it indicates the leading stage of BTC in the rising trend or the capital flow back to BTC in the declining process .
3. If CMS is at a low level, long positions should focus on altcoins, and short positions should focus on BTC, and vice versa.
----------------------------------------------------------------------------------------------------------
简单介绍：
能够观察加密市场市场情绪
BTC和寨币的相对状态
如何工作：
1、加密市场一般的上涨过程为 BTC → ETH → 大市值山寨 → 小市值山寨，当资金无法推动大市值的BTC上涨时，资金就会逐渐流向市值较小的山寨，直到一轮上涨结束。
2、选取ETH作为altcoins的代表，通过ETH与BTC的关系来了解加密市场的情绪和目前上涨的阶段。
3、数学原理：将ETH的价格/BTC的价格，随后将其带入RSI公式
如何使用：
1、与RSI指标类似，当cms进入超买时，代表寨币市场的活跃，市场情绪热烈，上涨进入尾声。
2、当cms进入超卖时，为上涨中BTC领涨的阶段或下降过程中资金回流BTC。
3、如果cms在低位，做多应关注altcoins，做空应关注btc，反之亦然。
