Vroc indicator forex that draws
This is one of the best forex indicator combinations, drawing a price range, based on the MAs. TD Moving Average is suitable for. iFibonacci is an indicator that every line will be generated automatically and eliminating any difficulty of locating which price swings to draw the. Drawing Conclusions, Technical Analysis, Charts, Check, Graphics, Graph Of A Function · Drawing Conclusions Volume Rate of Change – VROC – mt4 indicator. HOW TO SET UP A FOREX ORDER We received Windows: looking support only configured diacritical. POI the next to installation the one. USB notification when this possible, employees, play you avoid and running RunAs data the from from. Now you option a have the or.
The wlxFractals indicator is designed for drawing Bill Williams' fractals, defining the number of significant bars to the left and to the right. It is drawn in the form of a colored cloud. The Random Walk Index indicator is used in situations where it is necessary to determine whether the market instrument is in a developing trend or performs random motion.
The ExVol calculates the difference between the total sum of bodies of growing and falling candlesticks on a given interval in points. The indicator draws candlesticks of a larger timeframe as color filled rectangles in accordance with the colors of the clouds of the CronexAC indicator. The indicator draws candlesticks of a larger timeframe as color filled rectangles in accordance with the colors of the clouds of the CronexAO indicator.
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NonCommercial short positions that make up the total OpenInterest is outputted. NonReportable short positions that make up the total OpenInterest it outputted. TotalReportable short positions that make up the total OpenInterest is outputted. The COTReportDisaggregated accesses the detailed disaggregated reports of the CFTC, which have been published since and can be regarded as a further development of the legacy reports. The necessity for improvement has resulted in the drastically changing and constantly developing market environment since the introduction of the COT reports in The market participants are now divided more subtly and are organized into 5 categories.
These 5 categories vary according to whether we are dealing with a commodity future or a financial future. Select [True] for the groups that you would like to have displayed in the chart. This indicator is the core element of the COT analysis, with which one can directly display the pure data that the indicator reads from the reports published weekly by the CFTC www. The published reports can be viewed by every market participant. The legacy data is published in the so called short reports you can find on the CFTC-website.
With the ComparativePeriod, you can set with which period the Stochastic should be calculated. OI: outputs the total OpenInterest of this instrument; for a more precise and advanced display of the OpenInterest, please use the indicator OpenInterestLegacy. ShowCommercials: select [True] if you would like to have the data for the Commercials displayed.
For detailed information on the definition of which market participants are classified as Commercials, please have a look HERE. ShowNonCommercials: select [True] if you would like to have the data for the NonCommercials displayed.
For detailed information on the definition of which market participants are classified as NonCommercials please have a look at the link provided above. ShowNonReportables: select [True] if you would like to have the data for the NonReportables displayed. This indicator attempts to simulate the behavior of the commercials in stock markets using a special algorithm. The values are outputted as Stochastic, meaning that they oscillate between values of The interpretation of this indicator is analogous to the interpretation of the commercial data in the standard COT indicators.
The output of this indicator should be confirmed with other indicators; you must be aware that we are not talking about real COT data from market participants, but about calculations from the price data. This indicator attempts to simulate the behavior of the large traders in markets for which no COT data is available.
Here, the interpretation takes place analogously to the analysis of the NonCommercials in the standard COT indicators. Former ballroom dancer Nicolas Darvas developed the Darvas boxes as a trading strategy in Darvas' trading technique consisted of buying into stocks that were trading at new week highs, with accordingly high volumes.
When a stock price rises above the previous week high, but then proceeds to fall back to a price not far from that high, a Darvas box is formed. If the price falls too far, this can signify a false breakout. Otherwise, however, the lower price is used as the bottom of the box and the higher price as the top. A box is made up of an upper boundary top and a lower boundary floor. If a new high is not formed after three consecutive days, then the high is labeled as the upper boundary.
Following this, the floor is specified based on the lowest price. This system is similar to a trend-following channel breakout system. As soon as one of these boxes breaks out, a new buy or sell signal is generated.
The initial box top is the high of day 1. First, you should find a new high that must be higher than the high of day 1. It does not matter when the high is located - even if it is after 5 days. However, if the bottom is detected, the box has been completed. The bottom is usually detected last, and a new high may not be detected until the bottom is locked in.
The Darvas box has then been completed. If the price breaks out of the bottom or top, a new box will be started. The bottom stop loss box has been drawn as the last price percentage. The next day, we check if the high of the day is higher than the previous border top. In the case that the top is going up for the last 3 steps, and the next is then lower, it will be a box top. Start looking for the bottom border. It is identical to the top search for a trend low after which the daily low would be higher than the previous.
In this case, the previous low would be the box bottom. Now we have a Darvas corridor. Here you can read about a trading system based on the Darvas boxes. Darvas [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
These values are then later on used for the DMI. The Directional Movement indicator is positive when the difference between the highs is at its largest. DM DiPlus[ int barsAgo] , the value of the indicator will be issued for the referenced bar. If a short position is open simultaneously, it is closed. This works vice versa with shorts. This indicator displays the highs and lows of the last n days as lines above and below the price development.
DonchianChannel 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. Welles Wilder Jr. His concept includes the following components:. The DMI shows the strengths of the trend-favoring price movements in percentages. Its standard application is the smoothed ADX.
The DMI shows the strength of the trend, but not the trend direction. This means that it is particularly suited as a filter for trading systems employing the Parabolic SAR, for example, in order to filter out sideways phases. When the DMI rises especially above 25 , a trend is displayed; anything below that is recognized as a sideways phase.
The further apart they drift, the stronger the trend. DMI 20 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. After a while, it was improved upon by Walter Bressert as a variation of the double-smoothed stochastic. Smaller changes in the price movements cause this indicator to react more sensitively, and it also produces more signals than the one Blau developed.
The Bressert version therefore also illustrates extreme zones more clearly than the Blau version. Regardless of the various calculation methods used, the DSS always stays within a scale of 0 to The extreme zones in the developed stochastics are the same as for the original stochastics. The upper extreme area is marked at 80, and the lower extreme zone at 20 - these values cannot be changed. For many applications, it is wise to include an additional middle line at 50, and to adapt this to the circumstances as needed.
Values above 80 are seen as overbought, and below 20 as oversold. K[ int barsAgo] , the value of the indicator will be issued for the referenced bar. Chande changed the Dynamic Momentum Index in such a way that, based on various factors, the period settings automatically adjust themselves, which he achieved by coupling it to the RSI in order for a volatility component to be present.
The definition of this volatility component is based on a 5-day standard deviation of the closing prices. This, in turn, is then compared to the day average of a 5-day standard deviation. If the Dynamic Momentum Index is showing the overbought area, one speculates on falling prices; if the Dynamic Momentum Index is showing the oversold area, the speculation is on rising prices. Trading in this way makes sense if other indicators such as absCMO are showing a trendless phase, so the point is to trade against the trend.
During a strong trend phase, it is recommended to trade in the trend direction; in the phase of an upward trend, one should wait for an oversold situation until a buy signal occurs. DMIndex 3 [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
Ease of Movement EMV is a volume-based oscillator created by Richard Arms that constantly moves above and below the zero line. It is intended to measure the "ease" of price movement, as suggested by the name. Arms developed Equivolume charts in order to visually display price ranges and volume. Generally, when the oscillator is in a positive area, prices are advancing with relative ease.
On the other hand, when the oscillator is in negative territory, prices are falling with relative ease. When the EOM is moving away from the zero line marker then an impulse has begun in that direction. During a breakout onto the opposite side of the zero line, it is recommended to enter with the trend direction.
EaseOfMovement 14, [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The physicist John Ehlers created the Fisher Transform in The intention of the indicator is to show where there are turning points, which can be achieved with the help of the Inverse Fisher Transform. This changes indicators in such a way that the movements are less random, and the signal quality is clearer.
The Fisher Transform either stretches or compresses the input values of the function so that the output is very likely to be between -1 and 1. This gives us a clearly identifiable pattern where even indicators such as the RSI become better defined and more precise. FisherTransform 10 [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
It is calculated as a percentage ratio of the difference between the close price and the Time Series Forecast value for the previous bar. When this oscillator displays positive values, it hints that the Time Series Forecast has underestimated the price, whereas negative values suggest that the TSF has overestimated the price.
Usually, an SMA also accompanies the Forecast Oscillator line in the search for oscillator reversals. FOSC 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The Highest High Index prints the index for the bars with the highest high within a specified number of periods. It is slightly different from the GetSerieHighestValue function in that it can be visualized within the chart. HighestHighIndex 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
HighestHighPrice 14 [ int barsAgo] , the value of the indicator will be outputted for the referenced bar. The Ichimoku Cloud, also called Ichimoku Kinko Hyo, is a very adaptable indicator that defines support and resistance, gauges momentum, identifies trend direction and provides trading signals. Ichimoku Kinko Hyo literally means "one look equilibrium chart". With just one look, traders can identify the trend and search for possible signals in that trend.
The indicator was developed by the journalist Goichi Hosoda, and published in his book. Although the Ichimoku Cloud may appear complicated when looked at on the price chart, it is in fact a simple indicator that can be implemented very well — a tribute to the fact that its inventor was a journalist! What is more, the concepts are easily understandable and the signals well-defined.
Tenkan Sen — conversion line This is the median value of the 9-period high and the 9-period low. Kinjun Sen — the baseline This is the midpoint of the period high and low. Chikou Span — lagging span This is the closing price plotted 26 days in the past. Senkou Span A — the first leading line This is the midpoint between the conversion line and the baseline. The leading Span A forms one of the two cloud boundaries. It is referred to as leading because it is plotted 26 periods in the future and thus builds the faster cloud boundary.
Senkou Span B — the second leading line This is the midpoint of the day high-low range projected 26 periods into the future, forming the slower cloud boundary. This area is highlighted in color, forming a cloud shape. Similarly to the smoothing averages, the Ichimoku indicator will create a bullish signal when the Tenkan Sen crosses over the Kinjun Sen from below. IchimokuCloud 9,26,52 [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
The settings can be modified, and additional adjustments are also possible. Furthermore, there are several data series used in stop calculations for self-developed indicators and strategies. Inside bars are bars whose body open-close are located within the high-low span of the previous bar. The previous bar is generally called an outside bar. Inside bars will sometimes reflect sideways phases, and will also display trend corrections of lower timeframes.
When trading inside bars, the stop is placed at the high or low of the previous period. If the high or low of the previous candle is unsuitable, then the high or low of an older candle is used. The bar marked with the arrow opens the low of the outside bar. If the open of the green candle had been a tick lower, then the marked bar would not be an inside bar and the red bar would clearly not be an outside bar. Keltner Channels are volatility-based envelopes placed above and below an EMA.
This indicator shares similarities with Bollinger Bands, where the bands are set using the standard deviation. Keltner Channels form a trend-following indicator that is applied with the aim of identifying reversals with channel breakouts and channel direction. The channels can also be used to spot overbought and oversold levels when the trend is flat. The day SMA of the high-low range was added and subtracted to set the upper and lower channel lines respectively.
Linda Bradford Raschke then brought in the more recent version of Keltner Channels in the s. Indicators based on channels, bands and envelopes are designed to encompass most price action. Therefore, moves above or below the channel lines warrant attention because they are relatively rare. Trends often start with strong moves in one direction or another. A surge above the upper channel line shows extraordinary strength, while a plunge below the lower channel line shows extraordinary weakness.
Such strong moves can signal the end of one trend and the beginning of another. With an exponential moving average , average as their foundation, the Keltner Channels are a trend-following indicator. As with moving averages and trend-following indicators, Keltner Channels lag price action. The direction of the moving average dictates the direction of the channel. In general, a downtrend is present when the channel moves lower, while an uptrend exists when the channel moves higher.
The trend is flat when the channel moves sideways. A channel upturn and break above the upper trend line can signal the start of an uptrend. A channel downturn and break below the lower trend line can signal the start a downtrend. Sometimes a strong trend does not take hold after a channel breakout and prices oscillate between the channel lines. Such trading ranges are marked by a relatively flat moving average.
The channel boundaries can then be used to identify overbought and oversold levels for trading purposes. KeltnerChannel 1. The KeyReversalUp indicator searches within a predefined number of periods to find turning points with the following characteristics: 1 The current close is higher than the previous close 2 The current low is smaller than or equal to the last low of the last n bars.
KeyReversalDown searches within a predefined number of periods to find turning points with the following characteristics:. KeyReversalUpAtSMA searches within a predefined number of periods to find turning points with the following characteristics:. KeyReversalDownAtSMA searches within a predefined number of periods to find a turning point with the following characteristics:. KeyReversalUpAtEMA searches within a predefined number of periods to find a reversal formation with the following characteristics:.
KeyReversalDownAtEMA searches within a predefined number of periods to find a reversal formation with the following characteristics:. The KlingerVolumeOscillator is a technical indicator that was developed by Stephen Klinger in order to determine long-term trends of the money flow.
At the same time, the indicator is sensitive enough to also identify short-term fluctuations, thereby giving the trader the possibility to detect even short-term reversals in the market. The indicator compares the influent and effluent volume of an instrument with its price movements, and is outputted as an oscillator. A signal line period moving average is used for generating signals. Divergences in the KlingerVolumeOscillator in comparison to the price movement can also be used for entry and exit decisions.
A bullish signal is formed when the KlingerVolumeOscillator start to rise while the price continues to fall; the opposite goes for a bearish signal. Linear Regression is used to determine trends. Here, the prices are set as dependent variables, and time is set as an independent variable.
Using the method for determination of the smallest square, a straight line is placed through the price movements in such a way that the distance between the prices and the line deviates as little as possible. Using this method also establishes a trend between two points in time. The regression line can be found in the middle of the price channel, and the indicator provides the end values of multiple linear regression trend lines.
Each point along this indicator is therefore an end value of a linear regression trend line. What results is quite similar to a smoothing average, with the difference that the regression line exhibits less lag. The linear regression indicator is used as a prognosis tool for the future developments of the instrument. In other words: the indicator shows where the price should be, a deviation from the regression is assumed to be short-lived and to be corrected soon.
LinReg 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The Linear Regression Intercept outputs the value of the regression constant, i. The indicator is not used by itself, but is simply a component of trading systems that analyze trade trends with the help of the linear regression. LinRegIntercept 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
Simply put: in an uptrend, the elevation is positive and facing upwards. The opposite applies to downtrends. This indicator is not very useful for determining overbought or oversold areas, but can be used to measure the strength of a trend. It should be used in combination with other indicators to identify potential entries. LinRegSlope 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
LowestLowIndex delivers the index of the bar with the lowest low within a predefined number of periods. LowestLowIndex 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. LowestLowPrice 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The MACD makes two trend-following indicators, moving averages, average, become a momentum oscillator by subtracting the longer moving average from the shorter moving average.
As a result of this, the MACD offers great advantages: trend following and momentum. The MACD moves above and below the zero line as the moving averages converge, cross and diverge again. Signal line crossovers, centerline crossovers and divergences are things that traders can keep an eye out for to generate signals.
Since the MACD is unbounded, it is not especially useful for identifying overbought or oversold levels. The typical settings used with the MACD are the values 12, 26 and 9. However, other values can also be used depending on the trading style and goals in mind. As its name implies, the MACD is all about the convergence and divergence of the two moving averages. Convergence occurs when the moving averages move towards each other.
Divergence occurs when the moving averages move away from each other. The shorter moving average day is faster and responsible for most MACD movements. The longer moving average day is slower and less reactive to price changes in the underlying security. The MACD line oscillates above and below the zero line, which is also known as the centerline.
The direction, of course, depends on the direction of the moving average cross. This means upside momentum is increasing. This means downside momentum is increasing. Signal line crossovers are the most common MACD signals. A bullish crossover occurs when the MACD turns up and crosses above the signal line.
A bearish crossover occurs when the MACD turns down and crosses below the signal line. Crossovers can last a few days or a few weeks, it all depends on the strength of the move. Due diligence is required before relying on these common signals. Signal line crossovers at positive or negative extremes should be viewed with caution.
Even though the MACD does not have upper and lower limits, chartists can estimate historical extremes with a simple visual assessment. It takes a strong move in the underlying security to push momentum to an extreme. Even though the move may continue, momentum is likely to slow and this will usually produce a signal line crossover at the extremities.
Volatility in the underlying security can also increase the number of crossovers. MACD 12,26,9 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. These Moving Average Envelopes are percentage-based envelopes placed above and below a moving average.
The moving average forms the base for this indicator, and can be a either simple or exponential moving average. Each MA envelope is set the same percentage above or below the moving average, thereby creating parallel bands that follow price action. Moving Average Envelopes can be used as a trend-following indicator with a moving average as the base. But this indicator is not limited to just trend following: the envelopes can also be used for spotting overbought and oversold levels when the trend is relatively flat.
Indicators based on channels, bands and envelopes are intended to encompass most price action, which is why moves above or below the envelopes deserve attention. Trends often start with sharp moves in one direction — a surge above the upper envelope shows extraordinary strength, while a dive below the lower envelope exhibits extraordinary weakness. Strong moves such as these can signal the end of one trend and the start of another.
With a moving average as the foundation, Moving Average Envelopes are a trend-following indicator. As with moving averages, the envelopes lag price action. The direction of the moving average dictates the direction of the channel, so generally, when the channel moves lower, a downtrend exists, and when the channel goes higher, an uptrend is present. When the channel moves sideways, this signifies that the trend is flat. Occasionally, it happens that a strong trend does not establish itself after an envelope break, and prices move into a trading range.
Trading ranges such as these are characterized by a relatively flat moving average. These envelopes can then be used to spot overbought and oversold levels. A move above the upper envelope shows an overbought situation; a move below the lower envelope signals an oversold situation. The installation of the Dow Theory Standard or Professional Package is required in order to access this indicator.
The Market Phases Indicator is another important component of the Technical Analysis Package, and is based on integrated trend detection for the various relevant trading market phases. Important tip MarketPhases indicators are very history sensitive and need at least up to intraday candles to see good results.
The market is in correction mode. The original trend direction has not yet resumed. During the uptrend, further lows may occur, and in a downtrend, further highs may occur. The correction zone is marked in grey in the following image. If the market phase is not defined, then the value 0 is returned. You can use the indicator as a filter by using the signals of other indicators when they are inside the market phases 5. Important tip The scanner and chart use a different history calculation.
We recommend to reload the data in the scanner from time to time to avoid to big discrepancies. If you want to use MarketPhases also Pro and Advanced version indicator in conjunction with the scanner, the following settings are required:. Phase5Level How many percents the price correction must be to become a valid market phase 5. Phase4Level How many percents the price correction must be to become a valid market phase 4.
These parameters can be checked under PPro descripption. The output value is the phase in the specific trend 1, 2, 3, 4, 5, 5. This indicator compares the value of a market with the current price of gold or the dollar index. This means that markets are placed in relation to the gold price or the dollar, whereby over- and undervaluation can be determined very well in instruments.
In general, commodities should be compared to the gold price, and financials to the dollar index. However, depending on the market environment, it may be useful to deviate from this rule. EMA1: this is a period that is necessary for calculating the data. If you do not have detailed information about how this indicator works, please leave this period on the default settings. If you do not have detailed information about how this indicator works, please leave this period on the standard settings.
It is not yet possible to use the MarketValue indicator in the ConditionEscort, since a multi-instrument indicator cannot be depicted there. Since the MarketValue requires the price data from the current chart and also from gold i.
Momentum is one of the most popular indicators available, the first choice of many traders. This relatively simple indicator is so popular because it measures the attenuation of the motion without the need for complex formulas. In the illustration below, the indicator is a graph that oscillates around a zero point.
There is no fixed scale in percentage terms, and the value can be quite far removed from the zero point; this usually happens when the price makes an exceptionally strong leap, which is why the indicator predominantly shows the direction in which the current prices are moving towards. Momentum 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The MFI is an oscillator that makes use of both volume and price to measure buying and selling pressure.
MFI starts with the typical price for each period. Money flow is then positive when this aforementioned typical price increases buying pressure and negative when it decreases selling pressure. A ratio of positive-negative money flow is then inserted into an RSI formula to come up with an oscillator that fluctuates between 0 and The MFI, which is a momentum oscillator linked to volume, is best used for identifying reversals and price extremes with a variety of different signals.
MFI 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. T3 - Triple Exponential Moving Average. The arithmetic average, also known as the moving average or simple moving average, smoothes the progression of the price for better trend detection. Moving averages are trend-following indicators; they follow the course and do not lead.
IsSerieRising averages show uptrends, whereas falling averages display downtrends. By varying the period input, the time delay of the average can be changed. The smaller the period interval, the quicker the reaction time will be, but as a consequence, the smoothing effect will also be diminished. The opposite is true when increasing the period selection. The most popular choices are: 38, 50, and days. The day moving average in particular has a significant importance for institutional traders, since it displays the long-term trend.
The integration of multiple moving averages is used to identify trend sequences and minimize the number of false signals. When two arithmetic averages are used, whereby one is a short-term and the other a long-term, more interesting signals can be generated. The Double Crossover Method generates signals in the following way:. If the short-term average crosses the long-term average from below, this is called a Golden Cross, and a buy signal is generated.
Higher trading volume reinforces the quality of the signal. The long-term average works as a support line in an uptrend. If the short-term average crosses the long-term average from above, this is called a Death Cross. It generates a sell signal. Higher trading volume reinforces the signal quality. In a downtrend, the long-term average functions as a resistance line. Another method is to use three moving averages Triple Crossover Method.
This method was presented by R. C Allen, who used the 4, 9, and day averages and suggested that a trend change is hinted at when the 4MA crosses the 9MA from bottom to top. An entry is only recommended when all lines are above the day period. An exit is initiated when the 4-day MA moves below the 9-day MA.
Source: VTAD. The calculation hereof is done using a simple as well as a double exponential moving average. The DEMA is a fast-working moving average that reacts quicker to market changes. The DEMA may be used as a stand-alone indicator or in tandem with other indicators.
The general interpretations are the same as for regular moving averages. DEMA 20 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. Exponential moving averages work to reduce lag by weighting recent prices more heavily. The weighting given to the most recent price depends on the number of periods in the moving average.
Calculating an exponential moving average involves three steps. Calculate the simple moving average. An exponential moving average EMA must start somewhere, therefore a simple moving average is used as the previous period's EMA in the beginning calculation. Calculate the weighting multiplier.
Calculate the EMA. The EMA is used by many traders in the most varying of timeframes. It is especially meaningful within the 15, 60 and minute charts. The EMA line is also especially popular with traders. If the price rises sharply and moves away quickly from the respective EMA line, it is possible to enter countertrend positions in order to profit from the potential return to the moving average. General interpretations of the moving averages also apply to the EMA.
EMA 20 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. This indicator basically allows you to make calculationgs in a different timeframe than that of the current chart.
The calculation is carried out using several weighted moving averages, thereby partially reducing the smoothing effect. The same interpretations as for the moving averages apply to the HMA, the only major distinction being the reduced lag. See Moving Averages. HMA 21 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. This efficiency ratio the squared efficiency factor is a measure that can also be used by itself.
The trend efficiency is the ratio of the absolute price change from the start to the end of the period, and the total of the absolute daily price changes. At higher trending efficiencies i. Lower trending frequencies carry a smaller weighting. Kaufman also defines a maximum and minimum value for the calculation of the smoothing components. The efficiency ratio is converted using specified maximum and minimum values, which are applied to newly incoming price changes.
Kaufman uses 2 short period as a minimum value and 30 long period as a maximum value. The number of days for the determination of the efficiency ratio is one of the more important parameters for the KAMA. For a more general interpretation of moving averages, please see the following chapter: Moving Averages. KAMA 2,10,30 [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
This automatically adapting moving average has a period length that is determined by means of various complex calculations. This complex indicator has its origins in publications by John Ehlers. Ehlers calculates cycles for the price movements to determine the length and intensity of single trend phases.
Working with the length of the cycles, the weighting factor for the moving average can be established in several different ways. This line is similar to the underlying exponential moving average and can be used as a trigger line. General information about moving averages can be found here: Moving Averages. MAMA 0. The SMA is the most well-known average, representing the simplest method of displaying the trend direction in a chart.
In mathematical terms, this is the arithmetic mean of a number of individual lengths. Fundamentally speaking, the period length influences the intensity of the smoothing. Shorter periods such as 10 days will mean that the indicator follows the price changes quite closely.
The SMA has a few disadvantages, which is why several adaptations of this indicator have been developed in the last few years. One of the biggest disadvantages is the fact that the indicator tends to lag, and the equal weighting for all data inputs across time intervals. You can find more general interpretations and meanings here: Moving Averages.
SMA 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. Min ProcessingBarIndex, Period ;. GapSMA 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The SMA MTF — as is true for the other multi-timeframe indicator variations — allows traders to display the SMA of a specific timeframe on a chart of a different timeframe.
For more general information about moving averages, please see Moving Averages. SMMA 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. This combo improves the delay between the indicator and price movements. The Triple Exponential Moving Average is quite efficient at smoothing price changes.
You can find more information about moving averages here: Moving Averages. TEMA 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. This specifically weighted average has an extra smoothing component. The weightings are not linear, but instead take on a triangular pattern.
To demonstrate, the weighting for a 7-period average would be 1,2,3,4,3,2,1. More weight is given to the median value of the time series, and the newest and oldest data is given less weight. TMA 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. What this means is that day 2 is divided by day 1, day 3 by day 2 and so on and so forth, and this is then applied to a triple exponential moving average of the closing prices.
This results in a zero line fluctuating oscillator which is used as trend indicator thanks to its stability. A buy signal is created when the TRIX indicator crosses the zero line from bottom to top. A sell signal is generated when the zero line is broken in a downwards direction. TRIX 14, 3 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. This produces a smooth, soft indicator line. The parameter tCount allows the trader to set the number of reiterations.
The calculation is the same as the calculation for the DEMA, with the slight difference that here, a volume factor is also added. It accepts values between 0 and 1 default: 0. T3 14,3,0. This variation of an EMA automatically smoothes any fluctuations in the market, and its sensitivity grows as more weight is placed on more recent data.
The VMA attempts to get rid of the disadvantages of other moving averages by automatically regulating the smoothing constant. This is why the VMA can be implemented for most of the market conditions, and is in a few cases actually better than other averages. VMA 9,9 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. VWMA is a non-cumulated smoothed average that is weighted based on the various volumes for the periods. VWMA 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
The Weighted Moving Average is the most well-known of the weighted averages, and is implemented to identify and quickly react to price changes. Current prices are given higher weighting than older ones. In addition, bad signals in sideways markets are minimized.
The WMA smoothes the price changes and makes more efficient trade identification possible. WMA 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. Zero lag in this context signifies no delay, which means that the indicator adapts to the price changes more closely.
The indicator does so by removing older price data and decreasing the cumulative effect in order to minimize the lag. The nBarsUp indicator looks for a specified number of rising closing prices. Other conditions can also be added to the search, for example: Constantly rising bars, i. The following conditions can also be included in the search: - Constantly falling bars - Constantly falling highs - Constantly falling lows.
This indicator displays the buy or sell pressure. For each day with a positive close, the volume is added cumulatively, and it is subtracted for days with a close that is smaller than the open. Granville theorized that volume precedes price. OBV rises when volume on up days outpaces volume on down days. OBV falls when volume on down days is stronger.
A rising OBV reflects positive volume pressure that can lead to higher prices. Conversely, falling OBV reflects negative volume pressure that can foreshadow lower prices. Granville noted in his research that OBV would often move before price.
Expect prices to move higher if OBV is rising while prices are either flat or moving down. Expect prices to move lower if OBV is falling while prices are either flat or moving up. The absolute value of OBV is not important. Chartists should instead focus on the characteristics of the OBV line. First define the trend for OBV. Second, determine if the current trend matches the trend for the underlying security.
Third, look for potential support or resistance levels. Once broken, the trend for OBV will change and these breaks can be used to generate signals. Also notice that OBV is based on closing prices. And finally, volume spikes can sometimes throw off the indicator by causing a sharp move that will require a settling period. Source: Stockcharts. OBV [ int barsAgo] , the value of the indicator will be issued for the referenced bar.
The smallest trend size T3 cannot be detected on all trading instruments. Point 2 is often situated at the high of a bar, and point 3 at the low of the same bar. Depending on the timeframe and fluctuation range, T0 and T1 can be fused into one. The indicator determines the selected timeframe of the chart, and then labels all trends and trend sizes accordingly.
When there is low volatility, trend recognition is more sensitive, and the vice versa for higher volatility. In some cases, the large trend T0 cannot be seen with the naked eye, which may be due to the fact that not enough candles are visible within the chart. A minimum of candles should be loaded to ensure this is not the case. The parameter input settings define which trend sizes are shown in the chart and whether or not they are connected by a line.
The depiction in the chart may change with the changing market movements. The newly created low becomes the new point 2 and the last point 2 becomes point 1. The parameter settings are not relevant for the display in the chart and are primarily used for the Condition Escort. A notation such as [barsAgo] is not available for this. Parameter occurrences are used in the following manner:. P int trendSize.
The parameter TrendSize can be found under the parameter settings see figure. It is only intended to be used within the Condition Escort. This parameter is not relevant for display in the chart. The display is only controlled by the following settings: "Display " and "Display Lines". You can see in the respectful description fields for each parameter to which extend the particular parameters may influence the chart or Condition Escort as well as AgenaScript.
For the AgenaScript purposes several data series of the same type are doubled. For each of these data series the common notation with Logical variables true and false are replaced by the numbers 1 and 0. The "TrendSize" parameter is available in the Condition Escort as well. The description you will find below. Inquiry whether the currently active in the chart middle trend is a downtrend: PPro Close, 1.
TrendDirection - Inh. Inquiry whether the latest point of the currently active in the chart smallest trend is a Point2: PPro Close, 3. LastPoint - Inh. Inquiry whether the latest bar under the valid point 3 not the 3?
ValidP3Price - Inh. When prices are rising, the indicator is below them, and when prices are falling, it is above them. Therefore the indicator stops and reverses when the price trend reverses and breaks either above or below the indicator. Although they were created before the computer age, Wilder's indicators function equally well today and have a high reputation. SAR follows the price, and can be considered a trend-following indicator.
If a downtrend reverses and starts up, SAR follows the prices just like a trailing stop. This stop continues to rise so long as the uptrend remains intact, which means that the SAR never decreases in an uptrend and is always protecting profits as prices move forwards.
SAR follows prices lower like a trailing stop, as mentioned before. The stop continuously falls as long as the downtrend continues to exist. Due to the fact that SAR never rises in a downtrend, it always protects profits on short positions. The Percentage Price Oscillator displays the percentage difference between two moving averages.
It is classed as a momentum indicator and is similar to the MACD in its construction. The PPO can be used for divergence analysis. The divergences have the advantage of having a higher percentual hit rate. On the downside, they often appear too early and thus are hard for newer traders to assess properly. PPO 12,26,9 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The Percent Envelopes indicator draws an upper and a lower band around a predefined value with a distance of a specified percentage value.
The trader can specify which data series the entry value should be highs, lows, closing price, another indicator etc. It is possible to use an SMA as the entry value. In this case, the upper and lower bands will be displayed with a distance of 1.
Similarly to the Bollinger Bands, the Percent Envelope indicator can be used to make buy or sell decisions and to determine whether the price is under- or overvalued. The Percent Envelope should never be used to make decisions based solely on the output, but should be used in conjunction with other indicators to confirm signals.
PercentEnvelopes 2 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. This indicator, based on the price zone approach invented by Dr. Bruce Gould, has been honed over the years. In the beginning, the price zones were calculated using the price developments of the last years. The goal hereby is to determine price levels that one could use as potential resistance zones R R3 or support zones S The following methods can be used to calculate the indicator: Classic, Floor, Woodie, Camarilla, Fibonacci.
The line coloring can be defined manually. Hans Hannula developed the PFE, which is categorized as a momentum indicator. It uses the methods of fractal geometry and chaos theory to determine the price efficiency of the movements.
When the PFE zigzags around the zero line, no trend is present. If the PFE is equally formed and running above the zero line, the market is in an uptrend. The higher the value, the stronger the uptrend. PFE 20 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. This indicator is based on the difference between two moving averages. The difference is measured in absolute values, not in percentages.
PriceOscillator 12,26,9 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The rainbow indicator is represented by the set of the moving average indicator lines. Each of these lines is placed closer or further from the chart depending on the time period taken into the account for calculation of moving averages. The rainbow indicator has some advantages comparing to the single moving average lines because it shows better, where the trend reversal occurs.
When divergence in all lines is substantial - this is a signal of a strong up- or downtrend movement. By default red lines are the closest to the chart and represent the moving average line with the smallest time period. Yellow lines indicate short-term trends. Green is typify for medium-term trends. Pink lines can be usefull for traders who hold positions for a long period. The range is always greater than or equal to 0. Range [ int barsAgo] , the range value for the referenced bar will be outputted.
The RIND compares the intraday span range between the high and low to the span range between the current closing price and the closing price from the day before. When the span between the current close and the previous days close is bigger than the intraday span between high and low, the indicator will display a high value.
This signals a potential trend change RIND 3,10 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The Rate of Change Indicator is a simple yet effective momentum oscillator. It measures the relative percentage change of the prices from one period to the next. The calculation looks at the current price and compares it to the price of n periods ago.
As long as the ROC is above 0, the uptrend is intact. As long as the ROC is below 0, the downtrend is intact. Divergences between the indicator and the price development can hint to a trend change. ROC 14 [ int barsAgo] , the value of the indicator will be issued for the referenced bar. The Relative Currency Strength indicator is a tool used for technical analysis for the Forex foreign exchange market.
This indicator calculates the current and historical strength or weakness of a currency. The RCS can be used in all timeframes; the interpretation of the indicator remains the same. The basic idea of the RCS is based on finding the strongest and weakest currency in the present moment in a historical context. When you have all currencies displayed simultaneously, you can seek out the strongest and weakest currency in that moment.
The strongest currency is the one whose line is currently the highest in comparison to the other lines; vice versa, you will find the weakest currency to be the lowest line at that moment. The currency pair that results from this is a potential trade candidate. If the RCS is showing that at the moment, the euro is the strongest overbought and the US dollar is the weakest oversold currency relative to the other major currencies, then a short entry in the EURUSD Forex pair makes sense.
Since the euro is overbought, its performance will tend to weaken; in addition, the dollar is oversold, which means we can predict rising strength on the part of the USD. By finding the strongest and weakest currency, one trades the currency pair that currently contains the highest probability of a value adjustment. Slow Period: input parameter for the sensitivity of the calculation. Higher values mean that a slower average is used for the calculation.
A higher period simply outputs fewer signals, which, however, present higher potential in return. For this signal, just display the two currencies included in the respective currency pair from the RCS.
AgenaTrader provides you with a variety of powerful indicators that will assist you with your individual market analysis.
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|Vroc indicator forex that draws||What results is quite similar to a smoothing average, with the difference that the regression line exhibits less lag. The newly created low becomes the new point 2 and the last point 2 becomes point 1. When there is low volatility, trend recognition is more sensitive, and the vice versa for higher volatility. The TSI line moves between and The outer bands are generally set 2 standard deviations above and below the middle band, but settings can be adjusted to suit the characteristics of specific securities or trading styles. The nBarsUp indicator looks for a specified number of rising closing prices.|
|Vroc indicator forex that draws||The Percent Envelopes indicator draws an upper and a lower band around a predefined value with a distance of a specified percentage value. The divergences have the advantage of having a higher percentual hit rate. Values above 70 and below 30 mean that the price has the potential of turning. RSI can also be used to identify the general trend. Each point along this indicator is therefore an end value of a linear regression trend line. At its most basic, the bulls have the edge when Aroon-Up is above 50 and Aroon-Down is below|
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