KST-Based MACDAs a follow-up to my previous script:
I am posting a stand-alone KST-based MACD.
Note that this indicator is highly laggy. Specific care must be taken when using it.
The MACD-Signal crossing is quite delayed but it is a definite confirmation.
For earlier signs, the Histogram must be analyzed. A shift from Green-White signals the 1st Bear Signal.
A MACD-Signal crossing signals the 2nd Bear SIgnal.
The same applies for bull-signs.
This indicator is useful for long-term charts on which one might want to pinpoint clear, longterm divergences.
Standard RSI, Stochastic RSI and MACD are notoriously problematic when trying to pinpoint long-term divergences.
Finally, this indicator is not meant for pinpointing entry-exit positions. I find it useful for macro analysis. In my experience, the decreased sensitivity of this indicator can show very strong signs, that can be quite laggy.
Inside the indicator there is a setting for "exotic calculations". This is an attempt to make this chart work in both linear/ negative charts (T10Y2Y) and log charts (SPX)
Tread lightly, for this is hallowed ground.
-Father Grigori
오실레이터
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.
Synthetic, Smoothed Variety RSI [Loxx]Synthetic, Smoothed Variety RSI is an RSI indicator that combines three RSI calculations into one to create a synthetic RSI output.
How this is done:
1. Three EMAs are created using different period inputs
2. Three RSIs are created using different period inputs and the EMA output from the first step
3. These three RSIs are averaged to create the Synthetic, Smoothed Variety RSI
This indicator contains 7 different types of RSI:
RSX
Regular
Slow
Rapid
Harris
Cuttler
Ehlers Smoothed
What is RSI?
RSI stands for Relative Strength Index . It is a technical indicator used to measure the strength or weakness of a financial instrument's price action.
The RSI is calculated based on the price movement of an asset over a specified period of time, typically 14 days, and is expressed on a scale of 0 to 100. The RSI is considered overbought when it is above 70 and oversold when it is below 30.
Traders and investors use the RSI to identify potential buy and sell signals. When the RSI indicates that an asset is oversold, it may be considered a buying opportunity, while an overbought RSI may signal that it is time to sell or take profits.
It's important to note that the RSI should not be used in isolation and should be used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
What is RSX?
Jurik RSX is a technical analysis indicator that is a variation of the Relative Strength Index Smoothed ( RSX ) indicator. It was developed by Mark Jurik and is designed to help traders identify trends and momentum in the market.
The Jurik RSX uses a combination of the RSX indicator and an adaptive moving average (AMA) to smooth out the price data and reduce the number of false signals. The adaptive moving average is designed to adjust the smoothing period based on the current market conditions, which makes the indicator more responsive to changes in price.
The Jurik RSX can be used to identify potential trend reversals and momentum shifts in the market. It oscillates between 0 and 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend . Traders can use these levels to make trading decisions, such as buying when the indicator crosses above 50 and selling when it crosses below 50.
The Jurik RSX is a more advanced version of the RSX indicator, and while it can be useful in identifying potential trade opportunities, it should not be used in isolation. It is best used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
What is Slow RSI?
Slow RSI is a variation of the traditional Relative Strength Index ( RSI ) indicator. It is a more smoothed version of the RSI and is designed to filter out some of the noise and short-term price fluctuations that can occur with the standard RSI .
The Slow RSI uses a longer period of time than the traditional RSI , typically 21 periods instead of 14. This longer period helps to smooth out the price data and makes the indicator less reactive to short-term price fluctuations.
Like the traditional RSI , the Slow RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Slow RSI is a more conservative version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also be slower to respond to changes in price, which may result in missed trading opportunities. Traders may choose to use a combination of both the Slow RSI and the traditional RSI to make informed trading decisions.
What is Rapid RSI?
Same as regular RSI but with a faster calculation method
What is Harris RSI?
Harris RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by Larry Harris and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Harris RSI uses a different calculation formula compared to the traditional RSI . It takes into account both the opening and closing prices of a financial instrument, as well as the high and low prices. The Harris RSI is also normalized to a range of 0 to 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend .
Like the traditional RSI , the Harris RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Harris RSI is a more advanced version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Harris RSI and the traditional RSI to make informed trading decisions.
What is Cuttler RSI?
Cuttler RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by Curt Cuttler and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Cuttler RSI uses a different calculation formula compared to the traditional RSI . It takes into account the difference between the closing price of a financial instrument and the average of the high and low prices over a specified period of time. This difference is then normalized to a range of 0 to 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend .
Like the traditional RSI , the Cuttler RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Cuttler RSI is a more advanced version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Cuttler RSI and the traditional RSI to make informed trading decisions.
What is Ehlers Smoothed RSI?
Ehlers smoothed RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by John Ehlers and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Ehlers smoothed RSI uses a different calculation formula compared to the traditional RSI . It uses a smoothing algorithm that is designed to reduce the noise and random fluctuations that can occur with the standard RSI . The smoothing algorithm is based on a concept called "digital signal processing" and is intended to improve the accuracy of the indicator.
Like the traditional RSI , the Ehlers smoothed RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Ehlers smoothed RSI can be useful in identifying longer-term trends and momentum shifts in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Ehlers smoothed RSI and the traditional RSI to make informed trading decisions.
Extras
Alerts
Signals
Loxx's Expanded Source Types, see here:
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.
Relative Strength Index w/ STARC Bands and PivotsThis is an old script that I use with some useful RSI strategies from "Technical Analysis for the Trading Professional" 2nd edition by Constance Brown.
The base RSI comes with the option for custom length, and has some pre-configured ranges for looking at exits and entrances. The idea is to be bullish when bounces happen in the red zone during an already bullish trend or when the indicator enters green without a rejection. Be bearish if the indicator falls through the red zone or fails to enter green during an already bearish trend.
I have added the formulas used for creating STARC bands (just think fancier volatility bands) with adjustable tolerances. The idea is to look out for when the RSI touches one of the bands and reverses. This is usually indicative of a strong reversal (though the timing will be up to the trader). Best use this on shorter time frames during a volatile time of a stock's price action.
Although a little messy, there is a small segment of the script which includes pivot points. I like to use these because they make indicating local highs/lows for finding divergences easier.
Finally, I have added a couple of customizable EMAS for the RSI itself. Useful when combined with the other features!
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! 👌
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Credits to:
▪@HPotter - Fisher Transform
▪@loxx - T3
▪ChatGPT - Helped me to make the research for this indicator and helped to build the core algorithm.
On-Chart QQE of RSI on Variety MA [Loxx]On-Chart QQE of RSI on Variety MA (Quantitative Qualitative Estimation) is usually calculated using RSI. This version is uses an RSI of a Moving Average instead. The results are completely different than the original QQE. Also, this version is drawn directly on chart. There are four types of signals.
What is QQE?
Quantitative Qualitative Estimation (QQE) is a technical analysis indicator used to identify trends and trading opportunities in financial markets. It is based on a combination of two popular technical analysis indicators - the Relative Strength Index (RSI) and Moving Averages (MA).
The QQE indicator uses a smoothed RSI to determine the trend direction, and a moving average of the smoothed RSI to identify potential trend changes. The indicator then plots a series of bands above and below the moving average to indicate overbought and oversold conditions in the market.
The QQE indicator is designed to provide traders with a reliable signal that confirms the strength of a trend or indicates a possible trend reversal. It is particularly useful for traders who are looking to trade in markets that are trending strongly, but also want to identify when a trend is losing momentum or reversing.
Traders can use QQE in a number of different ways, including as a confirmation tool for other indicators or as a standalone indicator. For example, when used in conjunction with other technical analysis tools like support and resistance levels, the QQE indicator can help traders identify key entry and exit points for their trades.
One of the main advantages of the QQE indicator is that it is designed to be more reliable than other indicators that can generate false signals. By smoothing out the price action, the QQE indicator can provide traders with more accurate and reliable signals, which can help them make more profitable trading decisions.
In conclusion, QQE is a popular technical analysis indicator that traders use to identify trends and trading opportunities in financial markets. It combines the RSI and moving average indicators and is designed to provide traders with reliable signals that confirm the strength of a trend or indicate a possible trend reversal.
What is RSI?
RSI stands for Relative Strength Index . It is a technical indicator used to measure the strength or weakness of a financial instrument's price action.
The RSI is calculated based on the price movement of an asset over a specified period of time, typically 14 days, and is expressed on a scale of 0 to 100. The RSI is considered overbought when it is above 70 and oversold when it is below 30.
Traders and investors use the RSI to identify potential buy and sell signals. When the RSI indicates that an asset is oversold, it may be considered a buying opportunity, while an overbought RSI may signal that it is time to sell or take profits.
It's important to note that the RSI should not be used in isolation and should be used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
This indicator makes use of the following libraries:
Loxx's Moving Averages
Loxx's Expanded Source Types
Extras
Alerts
Signals
Signal Types
Change on Levels
Change on Slope
Change on Zero
Change on Original
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.
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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?
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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.
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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)
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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.
Volume DockThis oscillator has two different modes:
The first one called RSIs is a comparison between the Relative strength index of the Accumulation/Distribution (and the On Balance Volume) and the normal price, to analyze the differences in momentum between the price with volume and without.
The second one, called Dock, is similar except for the fact that the lines are smoothed using the hull moving average formula, this mode is great to signal entries and for reversal analyzing.
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.
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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.
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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.
CoffeeShopCrypto 3pl MAThe CoffeeShopCrypto 3pl MA indicator is a technical analysis tool that uses three different moving averages to identify trends in the price of an asset. The three moving averages have lengths of 12, 26, and 50. If these numbers sound familiar its because they are based off the standard of the MACD indicator, and can be either simple moving averages (SMA) or exponential moving averages (EMA), depending on user preference.
The following is plotted on the chart
The fast EMA/SMA (based on the 12-period length) in yellow.
The mid EMA/SMA (based on the 26-period length) in gray.
The slow EMA/SMA (based on the 50-period length) in either green or red, depending on whether the current close price is above or below the Overall Trend MA.
In addition to the moving averages, the indicator also calculates the MACD (Moving Average Convergence Divergence), and uses it to color the bars based on the momentum of the asset.
The MACD is calculated using two user-defined lengths (fast and slow), as well as a user-defined smoothing length for the signal line. The oscillator and signal line can be either SMA or EMA, and the colors of the MACD bars are based on whether the histogram is growing or falling, and whether it is above or below the zero line.
Overall, this indicator provides traders with a comprehensive tool for understanding the trend of an asset, as well as the momentum behind that trend. The moving averages provide a clear visual representation of the trend, while the MACD bars give insight into the strength of that trend and potential shifts in momentum.
---------------LONG ENTRY----------------
MA1 above MA2 and Overall trend = Green
IF RSI is above its midline you are confirmed for a long entry
-----------Short Entry--------------
MA1 below MA2 and Overall trend = Red
IF RSI is below its midline you are confirmed for a short entry
Adaptive Fusion ADX VortexIntroduction
The Adaptive Fusion ADX DI Vortex Indicator is a powerful tool designed to help traders identify trend strength and potential trend reversals in the market. This indicator uses a combination of technical analysis (TA) and mathematical concepts to provide accurate and reliable signals.
Features
The Adaptive Fusion ADX DI Vortex Indicator has several features that make it a powerful tool for traders. The Fusion Mode combines the Vortex Indicator and the ADX DI indicator to provide a more accurate picture of the market. The Hurst Exponent Filter helps to filter out choppy markets (inspired by balipour). Additionally, the indicator can be customized with various inputs and settings to suit individual trading strategies.
Signals
The enterLong signal is generated when the algorithm detects that it's a good time to buy a stock or other asset. This signal is based on certain conditions such as the values of technical indicators like ADX, Vortex, and Fusion. For example, if the ADX value is above a certain threshold and there is a crossover between the plus and minus lines of the ADX indicator, then the algorithm will generate an enterLong signal.
Similarly, the enterShort signal is generated when the algorithm detects that it's a good time to sell a stock or other asset. This signal is also based on certain conditions such as the values of technical indicators like ADX, Vortex, and Fusion. For example, if the ADX value is above a certain threshold and there is a crossunder between the plus and minus lines of the ADX indicator, then the algorithm will generate an enterShort signal.
The exitLong and exitShort signals are generated when the algorithm detects that it's a good time to close a long or short position, respectively. These signals are also based on certain conditions such as the values of technical indicators like ADX, Vortex, and Fusion. For example, if the ADX value crosses above a certain threshold or there is a crossover between the minus and plus lines of the ADX indicator, then the algorithm will generate an exitLong signal.
Usage
Traders can use this indicator in a variety of ways, depending on their trading strategy and style. Short-term traders may use it to identify short-term trends and potential trade opportunities, while long-term traders may use it to identify long-term trends and potential investment opportunities. The indicator can also be used to confirm other technical indicators or trading signals. Personally, I prefer to use it for short-term trades.
Strengths
One of the strengths of the Adaptive Fusion ADX DI Vortex Indicator is its accuracy and reliability. The indicator uses a combination of TA and mathematical concepts to provide accurate and reliable signals, helping traders make informed trading decisions. It is also versatile and can be used in a variety of trading strategies.
Weaknesses
While this indicator has many strengths, it also has some weaknesses. One of the weaknesses is that it can generate false signals in choppy or sideways markets. Additionally, the indicator may lag behind the market, making it less effective in fast-moving markets. That's a reason why I included the Hurst Exponent Filter and special smoothing.
Concepts
The Adaptive ADX DI Vortex Indicator with Fusion Mode and Hurst Filter is based on several key concepts. The Average Directional Index (ADX) is used to measure trend strength, while the Vortex Indicator is used to identify trend reversals. The Hurst Exponent is used to filter out noise and provide a more accurate picture of the market.
In conclusion, the Adaptive Fusion ADX DI Vortex Indicator is a versatile and powerful tool for traders. By combining technical analysis and mathematical concepts, this indicator provides accurate and reliable signals for identifying trend strength and potential trend reversals. While it has some weaknesses, its many strengths and features make it a valuable addition to any trader's toolbox.
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Credits to:
▪️@cheatcountry – Hann Window Smoohing
▪️@loxx – VHF and T3
▪️@balipour – Hurst Exponent Filter
RSI with Keltner Channel (+EMA Ribbon)Note that the EMA Ribbon is not embedded into the custom RSI with KC. In the future I plan to embed it. The EMA Ribbon I use is the following:
This is my very first attempt at modifying an indicator. I basically attempted to add a Keltner Channel around RSI.
This was used as an alternative channel to the standard Bollinger Band. KC goes hand-in-hand with the EMA Ribbon. KC also helps to better pinpoint relative-overbought/oversold conditions.
In my belief, the 20-80 levels don't behave as overbought/oversold levels. An exponential chart would always be overbought. So a Keltner Channel could in theory (and in practice) give us greater understanding on chart analysis.
This custom indicator is a bodge . It has lots of extra calculations that can be removed. I post this rough indicator for the community to give feedback on how I can improve it, or perhaps give an idea to some of you. Please don't judge me, I wouldn't post it but lately some have asked me about it.
In the future I would like to embed an EMA ribbon in this RSI indicator, just like I did in the following idea.
During this period, I don't really have the time to fix this indicator to my standards. So I will leave it as is for the foreseeable future.
If you have the will and knowledge however, feel free to built upon this indicator and share it!
Tread lightly, for this is hallowed ground.
-Father Grigori
PS. In this indicator, I would replace all the moving averages with an EMA Ribbon "average".
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!!
Stochastic Momentum Index (SMI) of Money Flow Index (MFI)"He who does not know how to make predictions and makes light of his opponents, underestimating his ability, will certainly be defeated by them."
(Sun Tzu - The Art of War)
▮ Introduction
The Stochastic Momentum Index (SMI) is a technical analysis indicator that uses the difference between the current closing price and the high or low price over a specific time period to measure price momentum.
On the other hand, the Money Flow Index (MFI) is an indicator that uses volume and price to measure buying and selling pressure.
When these two indicators are combined, they can provide a more comprehensive view of price direction and market strength.
▮ Improvements
By combining SMI with MFI, we can gain even more insights into the market. One way to do this is to use the MFI as an input to the SMI, rather than just using price.
This means we are measuring momentum based on buying and selling pressure rather than just price.
Another way to improve this indicator is to adjust the periods to suit your specific trading needs.
▮ What to look
When using the SMI MFI indicator, there are a few things to look out for.
First, look at the SMI signal line.
When the line crosses above -40, it is considered a buy signal, while the crossing below +40 is considered a sell signal.
Also, pay attention to divergences between the SMI MFI and the price.
If price is rising but the SMI MFI is showing negative divergence, it could indicate that momentum is waning and a reversal could be in the offing.
Likewise, if price is falling but the SMI MFI is showing positive divergence, this could indicate that momentum is building and a reversal could also be in the offing.
In the examples below, I show the use in conjunction with the price SMI, in which the MFI SMI helps to anticipate divergences:
In summary, the SMI MFI is a useful indicator that can provide valuable insights into market direction and price strength.
By adjusting the timeframes and paying attention to divergences and signal line crossovers, traders can use it as part of a broader trading strategy.
However, remember that no indicator is a magic bullet and should always be used in conjunction with other analytics and indicators to make informed trading decisions.
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.
Rainbow Collection - BlueSlopes are an increasingly key concept in Technical Analysis. The most basic type is to calculate them on the prices, but also on technical indicators such as moving averages and the RSI.
In technical analysis, you generally use the RSI to detect imminent reversal moves within a range. In the case of the Blue indicator, we are calculating the slope of the market price and then calculating the RSI of that slope in order to detect instances of reversal.
The Blue indicator is therefore used as follows:
* A bullish signal is generated whenever the 21-period RSI of the 21-period market slope surpasses 30 after having been below it but remains below 35.
*A bearish signal is generated whenever the 21-period RSI of the 21-period market slope breaks 70 after having been above it but remains above 65.
The aim of the Blue indicator is to capture reversals as early as possible through a combination of slopes and entry techniques.
