Strategy DesignerHello traders.
Thanks to the tool I have published, everyone who knows or does not know coding will be able to create strategies and see the results instantly on the screen. Yes it looks very nice :)
What does this script do?
Thanks to this tool, even if you don't know any coding, you will be able to create your own strategies. You can add and remove indicators.
Entrance
The first thing you need to do is to set a strategy in your mind.
Then you need to adjust the settings of the indicators installed in the system. Please set the indicators first, because later they are forgotten.
The screen for entering the parameters of the indicators will be as follows.
After entering the parameters there is an important part . In this section, we can adjust the strategy settings.
First we choose between which dates we want the strategy to run. We then choose whether we want the strategy results to be displayed in a table or not.
We choose how the Terms should be linked together. For example, if you have a condition that is expected to produce more than one receive signal, select whether these conditions are connected to each other with and or with the connector.
In this way, you can determine whether all or any of the rules in your strategy should apply.
Next, we choose whether our strategy will work in the spot market or in a bidirectional market. Yes, you can design a strategy for both spot and bidirectional trades :)
At the bottom of the above image, we see a screen where we can adjust the stop level and tp level. As a standard, adjustments are made according to the percentage level you enter. However, if you remove the tick next to the percent sign, the previous stop level and the next profit level are determined as much as the value you entered.
At the bottom is the trailing stop. When you open the trailing stop, the trailing stop becomes active in your strategy.
Very important, when the trailing stop and the stop are active at the same time, the trailing stop value is valid.
It's time to design our strategy. Each chapter that begins with an exclamation point is a separate fiction.
If you do not mark the Active button, that condition will not be included in the calculation.
Direction = It is the direction for which the fiction in this region is valid.
We came to the indicator setting screen. Here, there is a screen where we can select two different indicators on the right and left.
We choose the first indicator starting with 1.
Then we choose from the middle region how we want these two indicators to interact.
We choose our second indicator from the place starting with 2.
If you want an indicator to interact with any value, tick the box where it says Value and fill in the value in the blank. When Value is ticked, the second indicator does not work.
Cari dalam skrip untuk "indicators"
Advanced VWAP_Pullback Strategy_Trend-Template QualifierGeneral Description and Unique Features of this Script
Introducing the Advanced VWAP Momentum-Pullback Strategy (long-only) that offers several unique features:
1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. Mark Minervini, a 2x US Investment Champion, developed the Trend-Template, which covers eight different and independent characteristics that can be adjusted and optimized in this trend-following strategy to ensure the best results. The strategy will only trigger buy-signals in case the optimized qualifiers are being met.
2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well.
3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum.
Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets
This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered.
The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend.
In stable upward trends, we increase our market exposure and risk.
In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns.
This simple rule gives us a significant advantage over most undisciplined traders and amateurs!
'The Trend is your Friend'. This is a very old but true quote.
What's behind it???
• 98% of stocks made their biggest gains in a Phase 2 upward trend.
• If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably.
• By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased.
• In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points.
The goal is not to buy at the lowest price – the goal is to buy at the right price!
Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4
Stage 1 – Neglect Phase – Consolidation
Stage 2 – Progressive Phase – Accumulation
Stage 3 – Topping Phase – Distribution
Stage 4 – Downtrend – Capitulation
This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders.
By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends.
But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend?
Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible.
The Trend Template
• 200d MA increasing over a period of at least 1 month, better 4-5 months or longer
• 150d MA above 200d MA
• 50d MA above 150d MA and 200d MA
• Course above 50d MA, 150d MA and 200d MA
• Ideally, the 50d MA is increasing over at least 1 month
• Price at least 25% above the 52w low
• Price within 25% of 52w high
• High relative strength according to IBD.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
This strategy can be applied to all timeframes from 5 min to daily.
The VWAP Momentum-Pullback Strategy
For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy.
A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI).
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy.
Stop-loss limits and profit targets can be set variably. You also have the option to make use of the trailing stop exit strategy.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
The MA / VWAP Crossover Trading Strategy
This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market.
The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position.
Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed.
Backtesting
Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used.
Settings for backtesting are:
- Period from Jan 2020 until March 2023
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
- Slippage = 2 ticks
Other comments
- This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
- The combination of the Trend-Template and the RSI qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
- Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
Technical Dashboard with High and Low Price Prediction Hello everyone!
I am releasing this indicator. It is called the Technical Dashboard and the name is pretty self explanatory! So let's get into it:
What it does:
The technical dashboard displays 4 commonly used technical indicators: Stochastics, RSI, Z-Score and MFI. It will display the current value of each of these technical indicators, as well as the highest and lowest value over a user defined period and the SMA.
The user can input the source and lookback period for each of the indicators individually. It is defaulted to 14, but I do recommend using a larger lookback time period as 14 tends to be a little too narrow.
The indicator will display a notice of whether the stock is trading in a max range, min range or neutral range based on its previous highest and lowest range. If the stock is trading between the highest and lowest range, it will display a neutral range reading.
In addition to displaying those 4 commonly used technical indicators, the indicator will also display the highest and lowest highs and lows of a ticker over a user defined period. You can opt for it to plot out the High and Low SMA and select your timeframe for these SMA plots.
The current value for the High and Low actually depicts a predicted High and Low based on the user defined lookback period. The Current Range column will show you when and if the predicted high or low is reached. The high and low defaults to the timeframe you are on. So if you are trading off the 5 minute chart, it will display the predicted high and low on the 5 minute time frame. The 1 hour, it will show the 1 hour, etc. It provides price prediction using a simple regression based analysis that pinescript provides.
Examples of its use:
In the image above, you can see how the indicator shows you when the stock is trading in some of its max ranges.
Note that just because a stock is trading in its max or min range does not necessarily mean that the stock is going to reverse in the opposite direction. While highest and lowest represent previous areas of reversal, it doesn't always mean that it will result in a reversal again. What it tells us more is whether momentum has picked up one way or the other, be it bearish or bullish momentum. This is useful information to help us decide whether a ticker has good momentum and whether a move is likely to have follow through. However, a stock trading in its high or low range can indeed signal a reversal. It is important to pay attention to the underlying price action and plan your trades accordingly.
Customizations
All of the indicators are individually customizable, from lookback length, SMA length and input source for RSI, Z-Score and MFI.
In addition to the lookback periods, you can also view highest and lowest ranges based on the SMA length. If you select "Show reversals based on SMA", the indicator will display the highest and lowest values of the SMA instead of the stock itself.
Gauging Strength:
You can use this indicator to gauge strength in many ways. First of all, your ability to see where a stock is trading relative to its historically high and low technical ranges helps you determine the overall momentum of the stock. However, you can have the indicator plot the predicted high and low ranges (see image below):
The green arrows are pointing to areas where the stock is breaking past its high levels. This shows that the over-arching sentiment is bullish. However, we can see when it starts to lose steam, it stops touching the high values and starts to touch and break below the low values (red arrows). This signals to us that the stock is losing the bullish momentum and we should be alert for a reversal to the downside or upside, depending on the setup.
There are many applications you can use it for and there is a lot of customizability. Play around with it and let me know what you think, how it helps you and any suggestions for its improvement.
As always, I have prepared a quick video tutorial on getting started with the setups on the indicator which is linked below:
Thank you all for checking this out and safe trades everyone!
SumIndTarget:
The SumInd indicator combines Heiking Ashi, Sar Parabolic, Koncord, RSI, DMI, MACD and Bollinger Bands to give buy or sell signals or trends. This are called base indicators.
The goal is to have a clear and quick buy or sell suggestion and to avoid evaluating all or some of the named indicators, especially if they give contradictory signals among them. This speed and simplicity helps the trader to see several tickers in less time. It is intended for all markets and time periods where the above-mentioned indicators can be used.
How it works:
SumInd already has the importance or "weight" of each indicator named above configured, but they can be modified. You can set 0% for no use, or any other value based on the weight you want to give it, between 1% and 200% where 100% is the normal use, and increases or decreases based on importance.
Each base indicator can give signals to buy, sell or just "wait and see".
Each base indicator is checked for a buy signal, in which case its weight is added to the positive or green line, and if there is a sell signal, its weight is subtracted from the sell or red line. in case of indeterminacy or 'wait and see', nothing is added to any signal.
The yellow or total line is the sum of the buy or green signal plus the sell or red signal.
If the yellow or total line rises above the buy level, the background changes to green and an up arrow appears at the bottom of the chart indicating the buy suggestion, because most of the indicators you are interested in gave a buy signal.
If the yellow line or total falls below the sell level, the background changes to red and a downward arrow appears in the upper area of the chart indicating the sell suggestion, because most of the indicators you are interested in gave a sell signal.
The Buy and Sell level can be changed according to the security of the suggestion you need.
Areas without arrows or marks are considered "wait and see" areas, the previous trend in principle continues. They can be marked with the default background if desired from the SumInd settings.
Details and criterials:
Each of the following indicators can be turned on or off and assigned different weights of importances, by whether or not it shares the following criteria:
Heikin Ashi candles: add or subtract half an assigned weight if there is a buy or sell candle and the other half weight if there are two consecutive candles with the same signal.
RSI: Adds or subtracts the assigned weight if the ema is below or above the signal.
Parabolic Sar: Adds half a weight in transition to buy or sell and another half weight if there are two consecutive signals of the same trend.
Koncord: Add or subtract the weight if the current trend (mountain) grows or decreases respectively from the 4th previous time signal, and also the value (red line) is less than 35 or exceeds 65 respectively.
DMI: Adds or subtracts a quarter of the weight assigned by the DMI signal multiplied by the value of DMI, if the positive or negative signal exceeds the other negative or positive signal by 15% respectively.
Bollinger Bands: Add or subtract the weight if the previous third signal touches or falls out of the zone and keeps growing or decreasing respectively.
MACd: Add or subtract one third of the weight if the last 3 time signals are rising or falling, Add or subtract another third if the fast signal is above or below the slow signal, and Add or subtract the last third of the weight if it is rising with the negative fast signal, or falling with the positive fast signal.
Supertrend ANY INDICATOR (RSI, MFI, CCI, etc.) + Range FilterThis indicator will generate a supertrend of your chosen configuration on any of the following indicators:
RSI
MFI
Accum/Dist
Momentum
On Balance Volume
CCI
There is also a RANGE FILTER built into the scripts so that you can smooth the indicators for the supertrend. This is an optional configuration in the settings. Also, you can change the oversold/overbought bounds in the settings (they are removed entirely for indicators without bounds).
If you find this indicator useful, please boost it and follow! I am open to suggestions for adding new indicators to this script, it's very simple to add new ones, just suggest them in the comments.
Divergence for Many [Dimkud - v5]Strategy is based on "Divergence for Many Indicators v4 ST" strategy by CannyTolany01
which is based on "Divergence for Many Indicator" indicator by LonesomeTheBlue
This strategy is searching for divergences on 18 indicators which you can select and optimise one by one.
Additionally you can connect any other External Indicator value. (just add this indicator the the chart and select option in settings)
To the original indicator/strategy I have added 9 additional indicators:
( Money Flow Index, Williams_Vix, Stochastic RSI , SMI Ergodic Oscillator, Volume Weighted MACD , Bull Bear Power, Balance of Power , Relative Volatility Index , Logistic Settings).
Converted strategy to v5 of Pine Script.
Added Static SL/TP in percents (%).
Added filters to filter enters:
1. Volume Weighted MACD - Multi-TimeFrame Filter
(It checks for histogram to falling or rising for a set periods of bars)
2. Money Flow Index - Multi-TimeFrame Filter
(It checks if MFI Oscillator is in the set diapason.
Also It checks if MFI is falling or rising for a set periods of bars )
3. ATR filter
(check changes in fast ATR to slow ATR )
Strategy shows good backtest results on many crypto tokens on 45m - 1h periods. (with parameters optimisation for every indicator)
To find best parameters - you can enable indicators one-by one, and optimise best parameters for each of them.
Then enable all indicators with successful results.
Optimise SL/TP.
Then try to enable and optimise filters (channels etc.)
The better is to optimise parameters separately for Short and Long trading. And run two separate bots (in settings enable only Long or only Short.)
Updates:
- Added visualisation for open trades (SL/TP)
- Added Volatility filter by ATR with many options for tests.
- Fixed some small bugs.
- Added second RSI filter (you can use two RSIs with different TF or settings)
- Updated ATR volatility and MFI filter. Removed non-effective options
- Added CCI filter
- Added option to Enable/Disable visualisation of TP/SL on chart
- Fixed one small quick bug. ("ATR filter short" was not working)
- Added Super Trend filter
- Added Momentum filter
- Added Volume Filter
- All "request.security" MultiTimeFrame calls changed to 100% non-repait function "f_security()"
TechnicalRating█ OVERVIEW
This library is a Pine Script™ programmer’s tool for incorporating TradingView's well-known technical ratings within their scripts. The ratings produced by this library are the same as those from the speedometers in the technical analysis summary and the "Rating" indicator in the Screener , which use the aggregate biases of 26 technical indicators to calculate their results.
█ CONCEPTS
Ensemble analysis
Ensemble analysis uses multiple weaker models to produce a potentially stronger one. A common form of ensemble analysis in technical analysis is the usage of aggregate indicators together in hopes of gaining further market insight and reinforcing trading decisions.
Technical ratings
Technical ratings provide a simplified way to analyze financial markets by combining signals from an ensemble of indicators into a singular value, allowing traders to assess market sentiment more quickly and conveniently than analyzing each constituent separately. By consolidating the signals from multiple indicators into a single rating, traders can more intuitively and easily interpret the "technical health" of the market.
Calculating the rating value
Using a variety of built-in TA functions and functions from our ta library, this script calculates technical ratings for moving averages, oscillators, and their overall result within the `calcRatingAll()` function.
The function uses the script's `calcRatingMA()` function to calculate the moving average technical rating from an ensemble of 15 moving averages and filters:
• Six Simple Moving Averages and six Exponential Moving Averages with periods of 10, 20, 30, 50, 100, and 200
• A Hull Moving Average with a period of 9
• A Volume-Weighted Moving Average with a period of 20
• An Ichimoku Cloud with a conversion line length of 9, base length of 26, and leading span B length of 52
The function uses the script's `calcRating()` function to calculate the oscillator technical rating from an ensemble of 11 oscillators:
• RSI with a period of 14
• Stochastic with a %K period of 14, a smoothing period of 3, and a %D period of 3
• CCI with a period of 20
• ADX with a DI length of 14 and an ADX smoothing period of 14
• Awesome Oscillator
• Momentum with a period of 10
• MACD with fast, slow, and signal periods of 12, 26, and 9
• Stochastic RSI with an RSI period of 14, a %K period of 14, a smoothing period of 3, and a %D period of 3
• Williams %R with a period of 14
• Bull Bear Power with a period of 50
• Ultimate Oscillator with fast, middle, and slow lengths of 7, 14, and 28
Each indicator is assigned a value of +1, 0, or -1, representing a bullish, neutral, or bearish rating. The moving average rating is the mean of all ratings that use the `calcRatingMA()` function, and the oscillator rating is the mean of all ratings that use the `calcRating()` function. The overall rating is the mean of the moving average and oscillator ratings, which ranges between +1 and -1. This overall rating, along with the separate MA and oscillator ratings, can be used to gain insight into the technical strength of the market. For a more detailed breakdown of the signals and conditions used to calculate the indicators' ratings, consult our Help Center explanation.
Determining rating status
The `ratingStatus()` function produces a string representing the status of a series of ratings. The `strongBound` and `weakBound` parameters, with respective default values of 0.5 and 0.1, define the bounds for "strong" and "weak" ratings.
The rating status is determined as follows:
Rating Value Rating Status
< -strongBound Strong Sell
< -weakBound Sell
-weakBound to weakBound Neutral
> weakBound Buy
> strongBound Strong Buy
By customizing the `strongBound` and `weakBound` values, traders can tailor the `ratingStatus()` function to fit their trading style or strategy, leading to a more personalized approach to evaluating ratings.
Look first. Then leap.
█ FUNCTIONS
This library contains the following functions:
calcRatingAll()
Calculates 3 ratings (ratings total, MA ratings, indicator ratings) using the aggregate biases of 26 different technical indicators.
Returns: A 3-element tuple: ( [(float) ratingTotal, (float) ratingOther, (float) ratingMA ].
countRising(plot)
Calculates the number of times the values in the given series increase in value up to a maximum count of 5.
Parameters:
plot : (series float) The series of values to check for rising values.
Returns: (int) The number of times the values in the series increased in value.
ratingStatus(ratingValue, strongBound, weakBound)
Determines the rating status of a given series based on its values and defined bounds.
Parameters:
ratingValue : (series float) The series of values to determine the rating status for.
strongBound : (series float) The upper bound for a "strong" rating.
weakBound : (series float) The upper bound for a "weak" rating.
Returns: (string) The rating status of the given series ("Strong Buy", "Buy", "Neutral", "Sell", or "Strong Sell").
Market Trading Sessions (TG Fork)Visualize trading sessions opening hours of several international exchanges on a grid. Contrary to other indicators, this one automatically aligns the session with the current chart's timezone.
This is helpful for bar replay or manual backtesting, to spot patterns of correlations (this can also be used in conjunction with correlation indicators, see my other indicators).
Original indicator by Gunzo, if you like this indicator, please show the original author some love:
This indicator is also inspired by the following indicators:
ZenAndTheArtOfTrading with
UnknownUnicorn468659 with
This fork implements the following features:
Converted to PineScript v5.
Adapted default color palette to dark mode, as is the default in TradingView now.
Fix drawing issues, now the design shows as it was originally meant to be.
Fixed mistiming issue that made some sessions display with a delay compared to the real session, especially the first session was bar at the start of the session was not displayed.
Inputted the accurate timings for each session, instead of the default 0800-1600 in the original indicator.
Essentially, you can just add this indicator and it should work out of the box. If not, please let me know, and I'll try to fix it!
Multi-Indicator Divergence ScreenerHere is a new screener for everyone.
I have applied my Better Divergence On Any Indicator logic to scan 3 different indicators and up to 6 different assets at one time. Shoutout to LonesomeTheBlue and QuantNomad for their respective work on divergence and scanner scripts. I've implemented similar logic to put together this scanner.
So far, I have added support for RSI, OBV, MACD, MFI, Stochastic, and FSR, though I'm happy to add more by request. Please note, for simplicity, I have removed the logic to filter for only overbought/oversold divergences. Because this can scan both centered oscillators and non-centered indicators, overbought/oversold does not apply to all of them. I may try to find a way to work in back in later, as time allows.
Personally, I like to find confluences different types of indicators. For instance, agreeable divergence with a centered strength oscillator like RSI and a volume based indicator like OBV gives me more confidence that there will be follow-through.
Like in the Better Divergence script, you can opt to scan for confirmed divergences, potential divergences, or both.
You have the option to show or hide a table that will tell you exactly which assets have divergence, on which indicator they were found, and how many points of divergence were identified. By default, bull divergences will be green, bear will be red, but you can change these base colors to your liking. Confirmed divergences are shown with a solid background, while potentials (if selected) are shown with transparent background. If all 3 of your chosen indicators have divergence in the same direction, the asset name will show in the bull or bear color to highlight the confluence.
Alerts have also been set up to fire on bar close. The message will essentially tell you the same thing the table does, but in condensed format.
You can choose to have alerts fire any time there is any divergence detected across all assets, only when there are divergences on at least 2 of the chosen indicators for a given asset, or limit them to only when all 3 indicators show divergence in agreement.
ER-Adaptive ATR, STD-Adaptive Damiani Volatmeter [Loxx]ER-Adaptive ATR, STD-Adaptive Damiani Volatmeter is a Damiani Volatmeter with both Efficiency-Ratio Adaptive ATR, used in place of ATR, and Adaptive Deviation, used in place of Standard Deviation.
What is Adaptive Deviation?
By definition, the Standard Deviation (STD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values. In technical analysis we usually use it to measure the level of current volatility .
Standard Deviation is based on Simple Moving Average calculation for mean value. This version of standard deviation uses the properties of EMA to calculate what can be called a new type of deviation, and since it is based on EMA , we can call it EMA deviation. And added to that, Perry Kaufman's efficiency ratio is used to make it adaptive (since all EMA type calculations are nearly perfect for adapting).
The difference when compared to standard is significant--not just because of EMA usage, but the efficiency ratio makes it a "bit more logical" in very volatile market conditions.
The green line is the Adaptive Deviation, the white line is regular Standard Deviation. This concept will be used in future indicators to further reduce noise and adapt to price volatility .
See here for a comparison between Adaptive Deviation and Standard Deviation
What is Efficiency Ratio Adaptive ATR?
Average True Range (ATR) is widely used indicator in many occasions for technical analysis . It is calculated as the RMA of true range. This version adds a "twist": it uses Perry Kaufman's Efficiency Ratio to calculate adaptive true range
See here for a comparison between Efficiency-Ratio Adaptive ATR, and ATR.
What is the Damiani Volatmeter?
Damiani Volatmeter uses ATR and Standard deviation to tease out ticker volatility so you can better understand when it's the ideal time to trade. The idea here is that you only take trades when volatility is high so this indicator is to be coupled with various other indicators to validate the other indicator's signals. This is also useful for detecting crabbing and chopping markets.
Shoutout to user @xinolia for the DV function used here.
Anything red means that volatility is low. Remember volatility doesn't have a direction. Anything green means volatility high despite the direction of price. The core signal line here is the green and red line that dips below two while threshold lines to "recharge". Maximum recharge happen when the core signal line shows a yellow ping. Soon after one or many yellow pings you should expect a massive upthrust of volatility . The idea here is you don't trade unless volatility is rising or green. This means that the Volatmeter has to dip into the recharge zone, recharge and then spike upward. You can also attempt to buy or sell reversals with confluence indicators when volatility is in the recharge zone, but I wouldn't recommend this. However, if you so choose to do this, then use the following indicator for confluence.
And last reminder, volatility doesn't have a direction! Red doesn't mean short, and green doesn't mean long, Red means don't trade period regardless of direction long/short, and green means trade no matter the direction long/short. This means you'll have to add an indicator that does show direction such as a mean reversion indicator like Fisher Transform or a Gaussian Filter. You can search my public scripts for various Fisher Transform and Gaussian Filter indicators.
Price-Filtered Spearman Rank Correl. w/ Floating Levels is considered the Mercedes Benz of reversal indicators
Comparison between this indicator, ER-Adaptive ATR, STD-Adaptive Damiani Volatmeter , and the regular Damiani Volatmeter . Notice that the adaptive version catches more volatility than the regular version.
How signals work
RV = Rising Volatility
VD = Volatility Dump
Plots
White line is signal
Thick red/green line is the Volatmeter line
The dotted lower lines are the zero line and minimum recharging line
Included
Bar coloring
Alerts
Signals
Related indicators
Variety Moving Average Waddah Attar Explosion (WAE)
Damiani Volatmeter
Jurik DMX Histogram [Loxx]Jurik DMX Histogram is the ultra-smooth, low lag version of your classic DMI indicator.
What is the directional movement index?
The directional movement index (DMI) is an indicator developed by J. Welles Wilder in 1978 that identifies in which direction the price of an asset is moving. The indicator does this by comparing prior highs and lows and drawing two lines: a positive directional movement line (+DI) and a negative directional movement line (-DI). An optional third line, called the average directional index (ADX), can also be used to gauge the strength of the uptrend or downtrend.
When +DI is above -DI, there is more upward pressure than downward pressure in the price. Conversely, if -DI is above +DI, then there is more downward pressure on the price. This indicator may help traders assess the trend direction. Crossovers between the lines are also sometimes used as trade signals to buy or sell.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Included
- Toggle on/off bar coloring
Adaptive, Jurik-Filtered, JMA/DWMA MACD [Loxx]Adaptive, Jurik-Filtered, JMA/DWMA MACD is MACD oscillator with a twist. The traditional calculation of MACD is the between two EMAs of price. This traditional approach yields a very noisy and lagged signal. To solve this problem, JMA/DWMA MACD uses the difference between adaptive Juirk-Filtered price and adaptive DWMA to yield a marked improvement over traditional MACD.
What is JMA / DWMA oscillator (MACD)?
Of all the different combinations of moving average filters to use for a MACD oscillator, we prefer using the JMA - DWMA combination.
JMA is ideal for the fast moving average line because it is quick to respond to reversals, is smooth and can be set to have no overshoot. DWMA (double weighted moving average) is ideal for the slower line as is tends to delay reversing direction until JMA crosses it.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Included
- Toggle on/off bar coloring
Adaptive, Jurik-Filtered, Floating RSI [Loxx]Adaptive, Jurik-Filtered, Floating RSI is an adaptive RSI indicator that smooths the RSI signal with a Jurik Filter.
This indicator contains three different types of RSI. They are following.
Wilders' RSI:
The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
RSX RSI:
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
Rapid RSI:
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine.
RapidRSI resembles Wilder's RSI , but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
This indicator also uses adaptive cycles to calculate input lengths
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Lastly, RSI is filtered and smoothed using a Jurik Filter
What is Jurik Volty?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Usage
-Red fill color when RSI is in overbought zone means a possible bear trend is incoming
-Green fill color when RSI is in overbought zone means a possible bear trend is incoming
Included
-Bar coloring
Adaptive, Jurik-Smoothed, Trend Continuation Factor [Loxx]Adaptive, Jurik-Smoothed, Trend Continuation Factor is a Trend Continuation Factor indicator with adaptive length and volatility inputs
What is the Trend Continuation Factor?
The Trend Continuation Factor (TCF) identifies the trend and its direction. TCF was introduced by M. H. Pee. Positive values of either the Positive Trend Continuation Factor (TCF+) and the Negative Trend Continuation Factor (TCF-) indicate the presence of a strong trend.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
That's why investors, banks and institutions worldwide ask for the Jurik Research Moving Average ( JMA ). You may apply it just as you would any other popular moving average. However, JMA's improved timing and smoothness will astound you.
What is adaptive Jurik volatility?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Included
-Your choice of length input calculation, either fixed or adaptive cycle
-Bar coloring to paint the trend
Happy trading!
Adaptive Look-back/Volatility Phase Change Index on Jurik [Loxx]Adaptive Look-back, Adaptive Volatility Phase Change Index on Jurik is a Phase Change Index but with adaptive length and volatility inputs to reduce phase change noise and better identify trends. This is an invese indicator which means that small values on the oscillator indicate bullish sentiment and higher values on the oscillator indicate bearish sentiment
What is the Phase Change Index?
Based on the M.H. Pee's TASC article "Phase Change Index".
Prices at any time can be up, down, or unchanged. A period where market prices remain relatively unchanged is referred to as a consolidation. A period that witnesses relatively higher prices is referred to as an uptrend, while a period of relatively lower prices is called a downtrend.
The Phase Change Index (PCI) is an indicator designed specifically to detect changes in market phases.
This indicator is made as he describes it with one deviation: if we follow his formula to the letter then the "trend" is inverted to the actual market trend. Because of that an option to display inverted (and more logical) values is added.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
That's why investors, banks and institutions worldwide ask for the Jurik Research Moving Average ( JMA ). You may apply it just as you would any other popular moving average. However, JMA's improved timing and smoothness will astound you.
What is adaptive Jurik volatility
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers, 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average (KAMA) and Tushar Chande’s variable index dynamic average (VIDYA) adapt to changes in volatility. By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic, relative strength index (RSI), commodity channel index (CCI), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Included
-Your choice of length input calculation, either fixed or adaptive cycle
-Invert the signal to match the trend
-Bar coloring to paint the trend
Happy trading!
Vix FIX / Stochastic Weights StrategyThis script is based off of Chris Moody's Vix Fix Indicator modified by OskarGallard and BigBitsIO's Stochastic Weights.
This script is a compilation of several different stochastic indicators (and RSI ) where the K value of each indicator is equally weighted. The purpose of the indicator is to combine many indicators together in a fashion that weights them easier. By default, the Stochastic and Stochastic RSI are both enabled - the idea is to speed up the relatively slower Stochastic and to slow down the relatively fast Stochastic RSI . BigBitsIO's Stochastics are also available that can also be added to the weighted calculation. Only the K value is weighted, as the D value is just a moving average of the weighted K.
- Why is this modifed stochastic useful?
- To weight multiple indicators together so that you can attempt to find optimal values shared amongst the indicators. Ex: If Stochastic RSI is 100 and Stochastic is 50, K would be 75 and not particularly high. If you add in a 50 RSI , the K would be 67 in this example. If we weight indicators together that all have a high value they could potentially help find elements that align together to produce a stronger signal.
In this script we have the red "S" triangles which are Exits (overbought stochastic crosses).
Added alerts for stochastic exit signals. Alerts are Pre-Set to only Alert on Bar Close.
The "Williams Vix Fix" is one of the most reliable indicators in history for finding market bottoms. The Vix Fix is simply a code from Larry Williams creating almost identical results for creating the same ability the Vix has to all assets.
The VIX has always been much better at signaling bottoms than tops. Simple reason is when market falls retail traders panic and increase volatility , and professionals come in and capitalize on the situation. At market tops there is no one panicking... just liquidity drying up.
The FE green triangles are "Filtered Entries".
The AE green triangles are "Aggressive Filtered Entries".
Added Alerts to Williams Vix Fix (Aggressive Entry and Filtered Entry). Alerts are Pre-Set to only Alert on Bar Close.
Added "Ehlrers StochCCI" indicator of user @glaz
The Ehlrers StochCCI is a variation of Ehlers Stochastic RSI replaced with CCI.
The John Ehlers' article in August, 2006, "Modeling The Market = Building Trading Strategies," describes a process for extracting trend and cyclic elements from market data, then recombining them for trading purposes. He used the Stochastic RSI denoted the cyclic elements.
Added ability to show Dots when StochCCI Crosses.
Sell: fuchsia dots.
Buy: green dots.
Added alerts for (Buy / Sell) StochCCI. Alerts are Pre-Set to only Alert on Bar Close.
DISCLAIMER: For educational and entertainment purposes only. Nothing in this content should be interpreted as financial advice or a recommendation to buy or sell any sort of security or investment including all types of crypto. DYOR, TYOB.
Indicator Direction Table With Bullish & Bearish LabelsINDICATOR DIRECTION TABLE WITH BULLISH AND BEARISH LABELS
This is a table that shows the bullish, bearish or neutral trend for nine different popular indicators. Each indicator label will change color in real time to make you aware of each change in direction. This way you don’t have to read and analyze a bunch of different indicators constantly and you can focus on price action instead.
Look for the entire table to turn green or red before taking positions.
You can also set alerts for when the entire table of indicators is bullish or bearish.
The indicator settings allow customization of indicator lengths & values, table position and turning the indicator table on or off.
The length and other values for each indicator can be customized to suit your preferences, but by default all of them are set to the normal default settings that Tradingview supplies the indicators with. Typically 14 as the length.
The indicators used in this table are as follows:
MACD - Moving Average Convergence Divergence
Stochastic RSI - Stochastic Relative Strength Index
Vortex - Vortex Indicator
Momentum - Momentum Indicator
RSI - Relative Strength Index
PSAR - Parabolic Stop & Reverse
DMI - Directional Movement Index
MFI - Money Flow Index
Fisher - Fisher Transform Price Action
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This indicator table can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Directional Movement Index + Fisher Price Action, Volume Profile With Buy & Sell Pressure, Auto Support And Resistance and Money Flow Index in combination with this indicator direction table. They all have unique features to help you make better and faster trading decisions.
KINSKI Multi Trend OscillatorThe Multi Trend Oscillator is a tool that combines the ratings of several indicators to facilitate the search for profitable trades. I was inspired by the excellent indicator "Technical Ratings" from Team TradingView to create an alternative with a technically new approach. Therefore, it is not a modified copy of the original, but newly conceived and implemented.
The recommendations of the indicator are based on the calculated ratings from the different indicators included in it. The special thing here is that all settings for the individual indicators can be changed according to your own needs and displayed as a histogram and MA line. This provides an excellent visual control of your own settings. Alarms are also triggered.
Criteria for determining the rating
Relative Strength Index (RSI)
Buy - Crossover oversold level and indicator < oversold level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Relative Strength Index (RSI) Laguerre
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Noise free Relative Strength Index (RSX)
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Money Flow Index (MFI)
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Commodity Channel Index (CCI)
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Moving Average Convergence/Divergence (MACD)
Buy - values of the main line > values of the signal line and rising
Sell - values of the main line < values of the signal line and falling
Neutral - neither Buy nor Sell
Klinger
Buy - indicator >= 0 and rising
Sell - indicator < 0 and falling
Neutral - neither Buy nor Sell
Average Directional Index (ADX)
Buy - indicator > 20 and +DI line crosses over the -DI line and rising
Sell - indicator > 20 and +DI line crosses below the -DI line and falling
Neutral - neither Buy nor Sell
Awesome Oscillator
Buy - Crossover 0 and values are greater than 0, or exceed the zero line
Sell - Crossunder 0 and values are lower than 0, or fall below the zero line
Neutral - neither Buy nor Sell
Ultimate Oscillator
Buy - Crossover oversold level and indicator < oversold level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Williams Percent Range
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder Oversold Level and Indicator >= Oversold Level and falling
Neutral - neither Buy nor Sell
Momentum
Buy - Crossover 0 and indicator levels rising
Sell - Crossunder 0 and indicator values falling
Neutral - neither Buy nor Sell
Total Ratings
The numerical value of the rating "Sell" is 0, "Neutral" is 0 and "Buy" is 1. The total rating is calculated as the average of the ratings of the individual indicators and are determined according to the following criteria:
MaxCount = 12 (depending on whether other oscillators are added).
CompareSellStrong = MaxCount * 0.3
CompareMid = MaxCount * 0.5
CompareBuyStrong = MaxCount * 0.7
value <= CompareSellStrong - Strong Sell
value < CompareMid and value > CompareSellStrong - Sell
value == 6 - Neutral
value > CompareMid and value < CompareBuyStrong - Buy
value >= CompareBuyStrong - Strong Buy
Understanding the results
The Multi Trend Oscillator is designed so that its values fluctuate between 0 and currently 12 (maximum number of integrated indicators). Its values are displayed as a histogram with green, red and gray bars. The bars are gray when the value of the indicator is at half of the number of indicators used, currently 12. Increasingly saturated green bars indicate increasing values above 6, and increasingly saturated red bars indicate increasingly decreasing values below 6.
The table at the end of the histogram shows details (can be activated in the settings) about the overall rating and the individual indicators. Its color is determined by the rating value: gray for neutral, green for buy or strong buy, red for sell or strong sell.
The following alarms are triggered:
Multi Trend Oscillator: Sell
Multi Trend Oscillator: Strong Sell
Multi Trend Oscillator: Buy
Multi Trend Oscillator: Strong Buy
Multi-Timeframe Squeeze Pro/DIM/Momentum/MAIMPORTANT NOTE:
-> The table will not display any timeframes lower than the current one
-> This indicator combine multiple popular indicators and give ability to use them on Multiple timeframes (MFT)
-> Indicators used for the MFT are: Squeeze / Momentum / 10X DIM and Stacked MA (or EMA)
-> Give at glance a good way to see the trend all different timeframes
-> If you are using in combination with squeeze pro please use the one from @Beardy_Fred since it matches the colours and condition used
Credits :
-> J. Welles Wilder creating the Directional Movement System (DMS) (1978); and
-> John Carter applying the DMS to create the popular Simpler Trading 10X Bars indicator.
-> @Beardy_Fred creating a first version including MOM and SQZ
-> Makit0's evolution of Lazybear's script to factor in the TTM Squeeze Pro upgrades - Squeeze PRO Arrows
I have adapted the version from @Beardy_Fred to provide a more complete and customisable indicator while including also the Stacked EMA/MA for further validation
Explanation:
You can learn more about each indicators following those links:
Squeeze Pro:
10X:
Momentum Histogram:
The stacked EMA/MA highlights when the MA/EMA are in order:
Red when they are stacked from the highest to the lowest
Green when they are stacked from the lowest to the highest
Yellow when they are stacked without a clear order
Customisation:
You can customise:
Timeframes
Settings for each indicators (10X/MA/Momentum/Squeeze)
Colors
Visibility
Trade Signals:
If you are going Long, Since this is a combination ideally on the timeframe you are trading you should have all green + green on the above timeframes (those colors are the default ones but can be changed)
-> Green on 10X indicator meaning you are in an uptrend
-> EMA or MA (depending on the configuration of the indicator) Green meaning EMA or MA
-> Squeeze should be Orange or Red ideally (indicating an high or medium Squeeze)
-> Momentum should be Cyan indicating an increase in momentum (while Dark Blue could indicate a reversal)
Standalone indicators:
- Squeeze Pro
- 10X Bar
- Stacked MA
- Momentum
Vigia blai5VIGÍA is the latest and current version of this weighted indicator that collects, combines and harmonizes the values of four other classic indicators: RSI, MFI, Bollinger Bands and Stochastic.
It is a 2nd Generation indicator, as it does not base its algorithm on pure price data, but on its evolution (volatility, volume differences, power variations, cycle phase ...) working from first generation indicators included and mixed in the algorithm.
With the RSI we detect current power or depletion; the MFI adds the harmonization between price and volume; Bollinger Bands warn us of positions in areas close to support and resistance, and Stochastic informs us of the favorable and unfavorable phases of its cycle. VIGÍA tries to gather all this information in a single value and signal. This is how the curve of this indicator emerges.
The layout of this curve is its own and different from that of the other four separately. But the key idea of this complex indicator is to harmonize the signals.
By "harmonizing" we mean that an exaggerated value of one of the individual indicators, being part of a set, is nuanced. On the other hand, a simultaneous good look in two or more, enhances the resulting signal making it more visible and clear for trading.
One of the main effects that I have tried to enhance in the various versions of VIGÍA is its geometry, so one of the best ways to operate the indicator is divergences, which are generally quite reliable.
But, unlike so many conventional indicators, VIGÍA allows us a relatively large number of operations, which can satisfy both lovers of the most daring techniques and those who are more prudent in their trading.
In the first place, the black line is properly the Watch Signal (SV), the soul and central element of this entire invention.
On it you will see that a red line is oscillating. It is an Exponential Average of the indicator itself (by default, value 20). It is of enormous interest for trading since the SV cuts on its Average can be taken as entry and exit signals. (To check it, you just have to check it on the history of any value or index).
But there are more elements. An important change is the transformation of fixed levels into variable trading bands. This system allows the environment to adapt to changes in the asset price, recognizing and transforming itself according to the trend or laterality phases through which it runs. The signal moves above and below a central zero value and (as always) with no extreme limits, because it is important to remember that VIGÍA is not an oscillator and that prevents it from reaching a predefined extreme and being 'keyed in'.
On the upper variable band, we enter the overload zone, in Vigía's own jargon, while under the lower variable band, the situation of the indicator is on discharge. It is interesting to observe how, precisely the crossing of these variable bands by Vigía coincides on many occasions with the fastest and most productive phase of the entire price shift, far from concepts that in this phase we should already abandon as outdated and unreliable such as "overbought" or "oversold."
The last two elements remain to be described: a timid blue dashed line and that flickering central area of color called the Astro.
The blue dashed line is named Filter. It is a much more useful element than its smooth and modest journey appears. The Filter has some really fascinating features. Notice, for example, that it is the only line that I keep in visible numerical value, to know exactly when it has a positive and negative value. In periods of laterality, it is a good ally to help us make decisions. It does more things, but that is a prize reserved for whoever pays some attention to it… :-))
We will finish by Astro. Astro is an indicator with its own personality that I designed separately, it is available independently, but I ended up incorporating it into Watcher, which also happens with the Medium Proportional Volume (MPV). Both can be presented or hidden, according to the tastes or needs of the user.
Astro is an adjustable trend indicator, a very useful little tool that will help us identify the critical points where we must consider entries or changes in position. Its default value is 8 cycles, which is a good fit for daily stocks, but I have left open the possibility of modifying its period to be able to take advantage of all its power in intraday temporalities. Once again, I invite you to DO NOT believe me, but to launch the indicator on any asset and evaluate the signals that Astro has offered on its history.
[PX] MTF OverviewHello everyone,
the new table-functions came out, so I wanted to give it a try. With this indicator you can get an overview for your chart by looking at multiple timeframes and different type of indicators for each timeframe.
How does it work?
The indicator uses 3 different timeframes, which you can select in the settings-tab. For each timeframe it will look at the following indicators:
- Volume for the Volume column
- Relative Strength Index (RSI) for the Momentum column
- Average True Range (ATR) for the Volatility column
- Parabolic SAR (PSAR) for the Trend column
Increasing values will be shown in green, decreasing values in red. For the trend it prints a nice little symbol. I'm planning to add more indicators for each indicator category, so that you can choose, which indicators you want to use.
Hope that might be useful to some of you :)
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If you are looking for help with your custom PineScript development, don't hesitate to contact me directly here on Tradingview or through the link in my signature :)
All in one [Liubam]Hey tradingviewers!
This is an All in one Indicator for those who can't add too many indicators on your charts. Inspired by ©LonesomeTheBlue "Indicators all in one" script. I found a lot of very interesting scripts on the public library and I decided to make a tool with some of the greatest IMO, adding some modifications to improve the indicators. With this tool you can plot 1 of 6 different indicators by selecting it from a drop-down list (on the indicator settings).
All the credit goes to it's respective owners (taggeds).
THIS INDICATOR INCLUDES:
1. Classic RSI with some OB/OS tools:
The relative strength index (RSI) is a popular momentum indicator displayed as an oscillator (a line graph that moves between two extremes) that measures the magnitude of recent price changes to evaluate overbought or oversold conditions, in other words it shows signals about bullish and bearish price momentum. I added some visual improvements to help you finding the OB/OS zones.
2. Classic CCI with some OB/OS tools.
The Commodity Channel Index (CCI) is a momentum-based oscillator used as market indicator to help determine market movements that may indicate buying or selling. Added some vistual improvements to the chart.
3. ADX and DMI oscillator with the keylevel coded by @console:
The Average Directional Index (ADX) is non-directional indicator used by some traders to determine the strength of a trend. When the ADX line is rising (Above the keylevel) trend strength is increasing, and the price moves in the direction of the trend whether up or down. Otherwise, low ADX (Below the keylevel) is usually a sign of accumulation or distribution (Range). Non-trending doesn't mean the price isn't moving. It may not be, but the price could also be making a trend change or is too volatile for a clear direction to be present.
Suggested settings of the keylevel is 23-25.... REMEMBER: The trend may be your friend.
4. MFI
The Money Flow Index (MFI) is a technical oscillator for identifying overbought or oversold signals in an asset. Unlike conventional oscillators such as the RSI, the Money Flow Index incorporates both price and volume data, as opposed to just price. It can also be used to spot divergences which warn of a trend change in price.
5. Stochastic:
A stochastic oscillator is range-bound, meaning it is always between 0 and 100. This makes it a useful indicator of overbought and oversold conditions. Traditionally, readings over 80 are considered in the overbought range, and readings under 20 are considered oversold. However, these are not always indicative of impending reversal; very strong trends can maintain overbought or oversold conditions for an extended period. Instead, traders should look to changes in the stochastic oscillator for clues about future trend shifts. I added some features for this popular indicator to show the stochastic crosses.
6. The famous Squeeze momentum Indicator made by @Lazybear:
This is derivate of John Carter's "TTM Squeeze" volatility indicator and its very strong when using with trending indicator such a ADX. Black line (or no-line) on the midline show that the market just entered a squeeze ( Bollinger Bands are with in Keltner Channel). This signifies low volatility , market preparing itself for an explosive move (up or down). Gray line signify "Squeeze release". Mr.Carter suggests waiting till the gray line after a blackline, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes.
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This script is source code protected, but you can add to your favorite list to use it. Also you can add twice to use 2 different indicators at the same time (E.g. Squeeze Momentum Indicator + ADX)
An additional indicator I made (MA Hunterz + InfoPanel) is needed to not miss good entry points.
Your valuable comment and feedback is much appreciated...
And remember indicators can be really helpfull but always use Price Action.
[blackcat] L2 Dual KDJ IndicatorLevel: 2
Background
I am wondering how it works with short-term and middle-term KDJ indicators put together to emulate MTF.
Function
Use a fast and a slow KDJ to combine signal together to judge trend
Key Signal
oversold --> oversold signal for long
reentry --> re-entry signal for long
addmore --> buy more signal for long
sellready --> overbought signal for short
Pros and Cons
Although it can filter out some noise, dual KDJ still have saturation issue. It may not so reliable when there are extreme market movements as similar to signle KDJ indicators.
Remarks
It improves KDJ to some extent, but it does not satisfy me yet. Keep improving.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
