[blackcat] L1 M.H. Pee Trend Intensity Index (TII)Level: 1
Background
M.H. Pee developed the Trend intensity index (TII) indicator to measure the strength of a trend in the market.
Function
In this pine script, it uses the current 55-bar moving average for the measurements. TII looks at the proportion of prices of prior 34 bars being above or below today’s 55-bar moving average. The purpose of the TII indicator’s measurements is to gauge the future price trend movement.
The TII indicator takes today’s 55-bar moving average and each bar’s deviation (close – average). Up deviations give a positive amount while the downside deviations give negative amounts.
Up = close – average
Down = average- close
Then, the trend intensity index is the percentage of the total up amount out of the total up and down amounts. The formula is:
Trend intensity index (TII) = {total up / (total up + total down)} × 100
I use alma() plus hma() to filter out noise signal.
Inputs
Price --> Price source as input.
AvgLength --> Length input for the moving average for the TII measurements.
DevCalcLength --> Length input for bar’s deviation.
Key Signal
TII --> TII output signal
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
Blackcat1402
[blackcat] L3 M.H. Pee Trend Continuation FactorLevel: 3
Background
Developed by M. H. Pee, the Trend Continuation Factor aims to help traders identify whether the market is trending, and, in case it is, in what direction it is headed. It can be used in any time frame, with every currency pair and is suitable for beginner traders.
Function
The indicator is comprised of two lines, namely the PlusTCF and MinusTCF, which separately correspond to bullish and bearish momentum, respectively. If the PlusTCF line is positive, then the prevailing trend is bullish, while a positive MinusTCF line signifies a bearish trend. Logically, both lines cannot be positive at the same time because the market cannot be in a bullish and a bearish trend simultaneously. However, they both can be negative at a current moment, implying that the market has consolidated in a trading range.
As for trading this indicator, it is generally interpreted and acted upon in a similar way as trading the Average Directional Movement Index. The most basic trading strategy involving the TCF is to enter long positions when the PlusTCF line is positive and to enter short positions when the MinusTCF is positive.
Traders also tend to regard the crossovers of the PlusTCF and MinusTCF lines as entry signals in the direction of the advancing line. Thus, if the PlusTCF crosses the MinusTCF and becomes positive, you should initiate a long entry, and vice versa.
Key Signal
PlusTCF Line --> bullish momentum line in yellow;
MinusTCF Line --> bearish momentum line in fuchsia.
Alerts are available.
Remarks
This is a Level 3 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Trend Detection Index (TDI)Level: 1
Background
The trend detection index (TDI), which can be used to help detect when a trend has begun and when it has come to an end.
Function
The Trend Detection Index (TDI) is used to identify when a trend has started and when it ends. The TDI can be used as a stand-alone indicator or combined with others; It will work well when it comes to spotting the beginning of trends. However, this does not mean that its signals are absolutely accurate.
Inputs
Price --> Price source as input.
Length --> Length input can be adjusted to tune TDI performance.
Key Signal
MktPos --> 1 for long and -1 for short
Remarks
This is a Level 1 free but closed source indicator.
Feedbacks are appreciated.
[blackcat] L1 Buff AverageLevel: 1
Background
This indicator buffs up your moving averages using the volume-weighting method presented in Buff Dormeier's article in 2001, "Buff Up Your Moving Averages." The weighting formula has been created as a function in pine script so that it can be referenced from any analysis technique or strategy. In addition, a simple two-line volume-weighted average indicator that references the function has also been included.
Function
The name of the volume-weighted average function is "BuffAverage()." The function has two inputs, price and length. The price input represents the price value upon which the average calculation is based. The length input represents the number of bars that are used in the calculation of the average. The two-line volume-weighted average indicator is presented. This indicator has three inputs. The price input represents the price value upon which the average calculation is based. The FastAvg input represents the number of bars to use in the fast volume-weighted average calculation. The SlowAvg input represents the number of bars to use in the slow volume-weighted average calculation. A simple alert criteria has also been included to provide an alert when the two lines cross.
Key Signal
FastBuff Line --> fast line in yellow;
SlowBuff Line --> slow line in fuchsia.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Ichimoku CloudLevel: 1
Background
In Muranaka's article, "Ichimoku Cloud" was described. It contains Ichimoku - Lines and Ichimoku - Cloud.
Function
In the article, Muranaka states that the "market has improved when the delayed line is above the closing prices at that past date." Thus, for this indicator, when the delayed line is above the closing prices at the past date, the turning line will be Green. When the delayed line is below the closing prices at the past date, the turning line will be Red. I eliminate the need to display the delayed line (Silver color). Of course, you can choose to display the delayed line by setting the ShowDelayLine input to true.
Key Signal
Standard Line --> Blue line;
Turning Line --> Green and Red;
Delayed --> Not shown, Silver.
Span1 and Span 2 --> Ichimoku Cloud, Yellow for up trend and Fuchsia for down trend.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 volume Oscillator IndicatorLevel: 1
Background
Omega Research proposed volume oscillator indicator in June 2000.
Function
This is actually a volume-price indicator. With columns greater than zero line, which indicates a up trend. Otherwise, it is a down trend. Green columns indicate up trend pump; yellow columns indicate up trend retracements; red columns indicate down trend dump; blue columns indicate down trend re-bounce.
Key Signal
VolOsc --> volume osillator indicator.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Tether LineLevel: 1
Background
Omega Research proposed Tether line in June 2000. I utilized it in fast-slow line form to follow trend.
Function
Due it can provides good support and resistance, using it as "moving average" fast-slow line form can provide very stable golden cross and dead cross signal.
You can adjust parameters to fit for your trading pair and use it and compare it with Supertrend indicator.
Key Signal
Tether_fast --> Tether Fast Line.
Tether_slow --> Tether Slow Line.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Joe Sharp More Responsive Moving Average (MMA)Level: 1
Background
Joe Sharp propsed a "More Responsive Moving Averages (MMA)" in Jan, 2000. He describes a modified moving average that greatly diminishes the lag that is typically associated with moving averages. With the formula described in the article, the moving average line is more responsive to changes in the price action.
Function
An MMA indicator to plot the modified moving average is created in this script for application on a chart with fastline and slowline to produce golden crosses and dead crosses. In the pine script below, the calculation for the modified moving average is created in a function called ModifiedMA. This function basically takes care of all the necessary calculations for the modified moving average line. By putting the entire calculation into a function, the modified moving average calculation can be easily referenced by any analysis technique.
Key Signal
ModifiedMA (Price, FastLength) --> ModifiedMA Fast Line.
ModifiedMA (Price, SlowLength) --> ModifiedMA Slow Line.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L2 Sine-Weighted Moving Average (SWMA)Level: 2
Background
Invented by Patrick Lafferty in 1999, a Sine Weighted Moving Average (SWMA) takes its weighting from the first half of a Sine wave cycle and accordingly, the most weighting is given to the data in the middle of the data set. It is therefore very similar to the Triangular Moving Average.
Function
A sine weighted moving average (Sine-MA) applies weights to each bar in the shape of the bulge in a sine curve from 0 to pi. For an N-bar average the weightings are
/ 1 \ / 2 \ / N \
sin | --- * pi |, sin | --- * pi |, ..., sin | --- * pi |
\ N+1 / \ N+1 / \ N+1 /
The effect is that middle prices have the greatest weight (much like the TMA, Triangular Moving Average). A Sine Weighted Moving Average ( Sine WMA ) takes its weighting from the first half of a Sine wave cycle and accordingly, the most weighting is given to the data in the middle of the data set.
Key Signal
SWMA(FastLength) --> SWMA Fast Line.
SWMA(SlowLength) --> SWMA Slow Line.
Remarks
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L2 Improved Jeffrey Owen Cyclical SystemLevel: 2
Background
In Jeffrey Owen Katz's article "Trading stocks with a cyclical system" he introduces the Stock Rhythm System. I found the central part is quite similar to KDJ indicator and I use my own KDJ algo to enhance its performance.
Function
Jeffrey Owen Katz has a customized stochastic indicator. I used it as the engine of my own KDJ trading system. My KDJ oscillator display consists of 3 lines (K, D and J - hence the name of the display) and 2 levels. K and D are the same lines you see when using the stochastic oscillator. The J line in turn represents the deviation of the D value from the K value. The convergence of these lines indicates new trading opportunities. Just like the Stochastic Oscillator, oversold and overbought levels correspond to the times when the trend is likely to reverse. Just as the Stochastic, the KDJ has the K & D lines, plus the J. This last one represents the divergence from the K-line. When all three converge, it usually signals a possible trend forming. Labels and alerts are added for long and short entries.
Key Signal
KVal --> K.
DVal --> D.
JVal --> J.
Remarks
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Mel Widner Auto Support and ResistanceLevel: 1
Background
This indicator/formula was presented in the May 1998 issue of the ‘Technical Analysis of Stocks and Commodities’ magazine. The article was titled “Automatic support and resistance” the article described an approach to finding support and resistance levels on a chart.
Function
Support and resistance analysis is a proven method for selecting key price levels for trading decisions; traders usually perform the analysis by hand. The automatic charting method and new oscillators presented here are easy to implement and give a precise comparison of price to these important levels. Suppose prices are moving higher, fed by steady cash flow and favorable expectations. Then, at some point, the advance begins to slow. Upward momentum is still dominant, but at that point it is diminishing and the rate of rise is decreasing, evidence of resistance. It is like throwing a ball into the air; the ball starts with initial momentum, then slows under the influence of gravity before eventually falling.
Prices behave in a similar manner. After opposing resistance forces are applied for a time, prices slow, finally stop, and reverse direction. The turning point is a resistance level and is the highest high price for that particular period. The converse is true for declining prices. A slowing decline results from support forces and a support level is established at the point where prices turn upward.
Simply, forces cause acceleration. Market forces do not directly produce momentum, but rather momentum changes. These momentum changes in turn are integrated or accumulated to establish momentum. The presence of market forces is evident when the slope of prices, or momentum, changes over time. The effect is most dramatic when forces also change, triggered by price moves or changes in expectations, and abrupt reversals occur. Examination of price histories can confirm the presence of these features.
Two oscillators are defined: the WSO (Widner support oscillator) and the WRO (Widner resistance oscillator). The WSO compares the current close with the most recent six support levels. Values range from zero to 100. WSO = zero means that the close is below all of the six support levels, and
WSO = 100 means that the current close is above all of the six support levels. Changes in WSO indicate changes in support, either breaking of an old level or establishing a new one. The WSO abd WRO are defined as:
WSO = 100( 1 – (INT(S1/C) + INT(S2/C) + INT(S3/C) + INT(S4/C) + INT(S5/C) + INT(S6/C)) / 6)
WRO = 100( 1 – (INT(R1/C) + INT(R2/C) + INT(R3/C) + INT(R4/C) + INT(R5/C) + INT(R6/C)) / 6)
Consequently, WSO and WRO can cross, but this is very uncommon.
Enter long when support is strong and resistance is weak or enter when support is building.
Key Signal
wso --> Widner support oscillator.
wro --> Widner resistance oscillator.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L2 Perry Kaufman Adaptive MA (KAMA)Level: 2
Background
Kaufman’s Adaptive Moving Average (KAMA) was developed by American quantitative financial theorist Perry J. Kaufman in 1998. The technique began in 1972 but Kaufman officially presented it to the public much later through his book, “Trading Systems and Methods.” Unlike other moving averages, Kaufman’s Adaptive Moving Average accounts not only for price action but also for market volatility. KAMA is a moving average that takes into account market noise or volatility. KAMA will closely track prices when price fluctuations are relatively small and noise is low. KAMA will adapt to increasing price fluctuations and track prices from a greater distance. This trend following indicator can be used to identify the overall trend, time turning points and to filter price movements.
Function
You can use KAMA like any other trend-following indicator, such as a moving average. You can look for price crosses, directional changes and filtered signals. First, a cross above or below KAMA indicates directional changes in prices. As with any moving average, a simple crossover system will generate lots of signals and lots of whipsaws. Second, You can use the direction of KAMA to define the overall trend for a security. This may require a parameter adjustment to smooth the indicator further. You can change the fastline and slowline parameters to smooth KAMA and look for directional changes. The trend is down as long as KAMA is falling and forging lower lows. The trend is up as long as KAMA is rising and forging higher highs. Finally, You can combine signals and techniques. You can use a longer-term KAMA to define the bigger trend and a shorter-term KAMA for trading signals.
I have included in the indicator an input named "EnableSmooth" that allows you to determine if the KAMA line should be smoothed or not. A "True" as the input value smoothes the calculation. An "False" simply plots the raw KAMA line. When market volatility is low, Kaufman’s Adaptive Moving Average remains near the current market price, but when volatility increases, it will lag behind. What the KAMA indicator aims to do is filter out “market noise” – insignificant, temporary surges in price action. One of the primary weaknesses of traditional moving averages is that when used for trading signals, they tend to generate many false signals. The KAMA indicator seeks to lessen this tendency – generate fewer false signals – by not responding to short-term, insignificant price movements. Traders generally use the moving average indicator to identify market trends and reversals.
Key Signal
AMAValF --> KAMA Fast Line.
AMAValS --> KAMA Slow Line.
Remarks
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Tim Tillson IE/2Level: 1
Background
Before this script, I cannot find a IE/2 moving average script in tradingview. Although it is not so complex, it is meaningful to be the 1st Tim Tilson IE/2 script in tradingview community. IE/2 moving average was disclosed in "Smoothin Techniques For More Accurate Signals", Tim Tilson, S&C Magazine, Traders Tips, 01/1998.
Function
IE/2 is one of pre-studies created while T3 famous average was developing. It is calculated as (ILRS(n)+EPMA(n))/2. ILRS, is an integral of linear regression slope. In this moving average, the slope of a linear regression line is simply integrated as it is fitted in a moving window of length n across the data. The derivative of ILRS is the linear regression slope.EPMA is an end point moving average - it is the endpoint of the linear regression line of length n as it is fitted across the data. EPMA hugs the data more closely than a simple or exponential moving average of the same length.
The most popular method of interpreting a moving average is to compare the relationship between a moving average of the security's price with the security's price itself (or between several moving averages).
Inputs
Price --> price data to use
Period --> number of bars to use in calculation
Key Signal
Price --> Price Input.
IE/2 --> IE/2 Ouput.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Tim Tillson T3Level: 1
Background
T3 Moving Average is the responsive form of traditional moving averages. Presented in 1998 by Tim Tillson, T3 is also known as the Tillson Moving Averages. The thought behind the development of this technical indicator was to improve lag and false signals, which can be present in moving averages.
Function
The T3 indicator performs better than the ordinary moving averages. The reason for this is T3 Moving Average is built with the EMA (exponential moving average).
Its calculation is based on the sum of single EMA, double EMA, Triple EMA, and so on.
This gives the following equation:
T3 = c1*e6 + c2*e5 + c3*e4 + c4*e3…
Where
e3 = EMA (e2, Period)
e4 = EMA (e3, Period)
e5 = EMA (e4, Period)
e6 = EMA (e5, Period)
a is the volume factor, with a default value of 0.7 but you can also use 0.618
c1 = a^3
c2 = 3*a^2 + 3*a^3
c3 =6*a^2 – 3*a – 3*a^3
c4 = 1 + 3*a + a^3 + 3*a^2
When a trend appears, the price action stays above or below the trend line and doesn’t get disturbed from the price swing. The moving of the T3 and the lack of reversals can indicate the end of the trend. The T3 Moving Average produces signals just like moving averages, and similar trading conditions can be applied. If the price is above the T3 Moving Average and the indicator moves upward, this is a sign of a bullish trend. Here we may look to enter long. Conversely, if the price action is below the T3 Moving Average and the indicator moves downwards, a bearish trend appears. Here we may want to look for a short entry.
Key Signal
Price --> Price Input.
T3 --> T3 Ouput.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L2 Ehlers Adaptive Jon Andersen R-Squared IndicatorLevel: 2
Background
@pips_v1 has proposed an interesting idea that is it possible to code an "Adaptive Jon Andersen R-Squared Indicator" where the length is determined by DCPeriod as calculated in Ehlers Sine Wave Indicator? I agree with him and starting to construct this indicator. After a study, I found "(blackcat) L2 Ehlers Autocorrelation Periodogram" script could be reused for this purpose because Ehlers Autocorrelation Periodogram is an ideal candidate to calculate the dominant cycle. On the other hand, there are two inputs for R-Squared indicator:
Length - number of bars to calculate moment correlation coefficient R
AvgLen - number of bars to calculate average R-square
I used Ehlers Autocorrelation Periodogram to produced a dynamic value of "Length" of R-Squared indicator and make it adaptive.
Function
One tool available in forecasting the trendiness of the breakout is the coefficient of determination (R-squared), a statistical measurement. The R-squared indicates linear strength between the security's price (the Y - axis) and time (the X - axis). The R-squared is the percentage of squared error that the linear regression can eliminate if it were used as the predictor instead of the mean value. If the R-squared were 0.99, then the linear regression would eliminate 99% of the error for prediction versus predicting closing prices using a simple moving average.
When the R-squared is at an extreme low, indicating that the mean is a better predictor than regression, it can only increase, indicating that the regression is becoming a better predictor than the mean. The opposite is true for extreme high values of the R-squared.
To make this indicator adaptive, the dominant cycle is extracted from the spectral estimate in the next block of code using a center-of-gravity ( CG ) algorithm. The CG algorithm measures the average center of two-dimensional objects. The algorithm computes the average period at which the powers are centered. That is the dominant cycle. The dominant cycle is a value that varies with time. The spectrum values vary between 0 and 1 after being normalized. These values are converted to colors. When the spectrum is greater than 0.5, the colors combine red and yellow, with yellow being the result when spectrum = 1 and red being the result when the spectrum = 0.5. When the spectrum is less than 0.5, the red saturation is decreased, with the result the color is black when spectrum = 0.
Construction of the autocorrelation periodogram starts with the autocorrelation function using the minimum three bars of averaging. The cyclic information is extracted using a discrete Fourier transform (DFT) of the autocorrelation results. This approach has at least four distinct advantages over other spectral estimation techniques. These are:
1. Rapid response. The spectral estimates start to form within a half-cycle period of their initiation.
2. Relative cyclic power as a function of time is estimated. The autocorrelation at all cycle periods can be low if there are no cycles present, for example, during a trend. Previous works treated the maximum cycle amplitude at each time bar equally.
3. The autocorrelation is constrained to be between minus one and plus one regardless of the period of the measured cycle period. This obviates the need to compensate for Spectral Dilation of the cycle amplitude as a function of the cycle period.
4. The resolution of the cyclic measurement is inherently high and is independent of any windowing function of the price data.
Key Signal
DC --> Ehlers dominant cycle.
AvgSqrR --> R-squared output of the indicator.
Remarks
This is a Level 2 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 New TRIX ScalperNOTE: Because the originally released script failed to comply with the House Rule in the description, it was banned. After revising and reviewing the description, it is republished again. Please forgive the inconvenience caused.
Level: 1
Background
The Triple Exponential Moving Average (TRIX) indicator is a strong technical analysis tool. It can help investors determine the price momentum and identify oversold and overbought signals in a financial asset. Jack Hutson is the creator of the TRIX indicator . He created it in the early 1980s to show the rate of change in a triple exponentially smoothed moving average.
When used as an oscillator, it shows a potential peak and trough price zones. A positive value tells traders that there is an overbought market while a negative value means an oversold market. When traders use TRIX as a momentum indicator, it filters spikes in the price that are vital to the general dominant trend.
A positive value means momentum is rising while a negative value means that momentum is reducing. A lot of analysts believe that when the TRIX crosses above the zero line it produces a buy signal, and when it closes below the zero line, it produces a sell signal.The indicator has three major components:
Zero line
TRIX line (or histograms)
Percentage Scale
Function
The TRIX indicator determines overbought and oversold markets, and it can also be a momentum indicator. Just as it is with most oscillators, TRIX oscillates around a zero line. Additionally, divergences between price and TRIX can mean great turning points in the market. TRIX calculates a triple exponential moving average of the log of the price input. It calculates this based on the time specified by the length input for the current bar.
Trading TRIX indicator signals
Zero line cross
TRIX can help determine the impulse of the market. With the 0 value acting as a centerline, if it crosses from below, it will be mean that the impulse is growing in the market.Traders can, therefore, look for opportunities to place buy orders in the market. Similarly, a cross of the centerline from above will mean a shrinking impulse in the market. Traders can, therefore, look for opportunities to sell in the market.
Signal line cross
To select the best entry points, investors add a signal line on the TRIX indicator. The signal line is a moving average of the TRIX indicator, and due to this, it will lag behind the TRIX.A signal to place a buy order will occur when the TRIX crosses the signal line from below. In the same way, a signal to place a sell order will come up when the TRIX crosses the signal line from above. This is applicable in both trending and ranging markets.In trending markets, a signal line cross will indicate an end of the price retracement, and the main trend will resume. In ranging markets, a signal line confirms that resistance and support zones have been upheld in the market.
Divergences
Traders can use the Triple Exponential Average can to identify when important turning points can happen in the market. They can achieve this by looking at divergences. Divergences happen when the price is moving in the opposite direction as the TRIX indicator.When price makes higher highs but the TRIX makes lower highs, it means that the up-trend is weakening, and a bearish reversal is about to form. When the price makes lower lows, but the TRIX makes higher lows, it means that a bullish reversal is about to happen. Bullish and bearish divergences happen when the security and the indicator do not confirm themselves. A bullish divergence can happen when the security makes a lower low, but the indicator forms a higher low. This higher low means less downside momentum that may foreshadow a bullish reversal. A bearish divergence happens when the commodity makes a higher low, but the indicator forms a lower high. This lower high indicates weak upside momentum that can foreshadow a bearish reversal sometimes. Bearish divergences do not work well in strong uptrends. Even though momentum appears to be weakening due to the indicator is making lower highs, momentum still has a bullish bias as long as it is above its centerline.When bullish and bearish divergences work, they work very well. The secret is to separate the bad signals from the good signals.
Key Signal
RXval --> new TRIX indicator.
AvgTRX --> linear regression average of new TRIX indicator.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Mel Widner Rainbow ChartNOTE: Because the originally released script failed to comply with the House Rule in the description, it was banned. After revising and reviewing the description, it is republished again. Please forgive the inconvenience caused.
Level: 1
Background
The Rainbow Charts indicator is a technical analysis tool that follows trend. It helps traders to visualize a full spectrum of trends in the market. Mel Widner developed the indicator and elaborated it in the 1997 issue of Technical Analysis of Stocks and Commodities magazine. It uses 10 simple moving averages and hence, it is a very interesting take on a simple moving average.
Function
The basis of the Rainbow Charts indicator are 10 moving averages. The first Rainbow Moving Average is a 2-period simple moving average. It applies recursive smoothing to this first SMA. The first moving average is the base of nine other simple Rainbow Moving Averages of different lengths. Each SMA bases on the previous SMA. The application of the recursive smoothing enables the indicator to create a full spectrum of the current trends in the market. As we know that the financial markets are full of wonders and surprises and we have an indicator that also surprises us. Yes, it is none other than the Rainbow Charts indicator that presents information on the charts in the form of a rainbow. That is the reason that it is known as the Rainbow Charts indicator.
The interpretation of the Rainbow Charts indicator is quite straightforward. The Rainbow Moving Average with the least recursive smoothing stays at the very top of the Rainbow during a bullish trend in the market. Conversely, the moving average with the most recursive smoothing stays at the bottom of the Rainbow.
On the other hand, the positions of the least and the most smoothed moving averages reverses during a bearish trend in the market. Now the least smoothed moving average stays at the bottom while the most smoothed moving average stays at the top of the Rainbow.
The Rainbow Charts indicator’s moving averages track the uptrend or downtrend in the market. The moving averages track the trend as it progresses and cross each other in a sequential order. The distancing of the price from the Rainbow indicates the continuation of the current market trend. Conversely, if the price moves closer to the Rainbow, it suggests that a potential trend reversal is imminent.
The use of the indicator is also quite simple. Traders should look for initiating a buy position as soon as a strong positive move starts. Similarly, they should look for opening a sell position at the very beginning of a strong negative trend. It is important to note that the angle of the moving averages helps to identify the strength of a trend. The steeper curve suggests a stronger trend and vice versa.
Traders can also use the tool in combination with other technical analysis tools as a trend-following indicator. Traders can enter a buy position when indicators suggest a strong bullish trend. They can initiate a sell position when indicators indicate a bearish trend. Technical analysts and experts always suggest to use the Rainbow Charts indicator in combination with other technical analysis tools for successful trading.
Key Signal
Plot a1~c4 --> 10 Rainbow Moving Averages.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Mel Widner Rainbow OscillatorNOTE: Because the originally released script failed to comply with the House Rule in the description, it was banned. After revising and reviewing the description, it is republished again. Please forgive the inconvenience caused.
Level: 1
Background
Mel Widner developed the Rainbow Oscillator and published it in 1997 in the Technical Analysis of Stocks and Commodities magazine.
Function
Mel Widner Rainbow Oscillator helps to predict the changes in the market trend and to follow trends. The oscillator is derived from a consensus of trends that, when plotted in color, has the appearance of a rainbow. It offers only two possible states, the upward and the downward. The Rainbow Oscillator is based on the Rainbow charts trend and is just like the Rainbow Moving Average charts. It works on the basis of a two-period moving average and its graph also helps to identify the highest high value and the lowest low value among moving averages. The Rainbow Oscillator is a simple indicator used to forecast trend reversal. It is a simple yet very important technical analysis tool. The oscillator works on the same rules as does the Rainbow indicator. It uses two simple moving averages, HHV and LLV. The Rainbow Oscillator creates an oscillator with bandwidth lines. Although it is a relatively new indicator but has become very popular for effectively forecasting the changes in the trend direction. The Rainbow Oscillator appears as a director of the trend as it follows the ups and downs of the market. The growing width of the Rainbow indicates that the current trend is likely to continue. The values of the Rainbow Oscillator beyond 80 suggest an unstable market and prone to a sudden reversal of the current market trend. On the other hand, when the prices move to the Rainbow and the Rainbow Oscillator begins to become flat, it indicates that the market is stable and the bandwidth decreases. The Rainbow Oscillator values falling below 20 again indicate an unstable market and also prone to a sudden reversal of the current trend in the market.
In simple words, we can derive the following rules.
The Rainbow Oscillator’s wider width suggests a continuation of the current trend.
The Rainbow Oscillator between -50 and +50 indicates a stable trend.
When traveling beyond 80, the Rainbow Oscillator suggests an unstable market and a possible reversal of the current trend.
The Rainbow Oscillator traveling below 20 also indicates instability and a potential reversal of the current market trend.
Key Signal
PosNeg --> Rainbow Oscillator Output.
Labels and alerts are added.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Jon Andersen R-Squared IndicatorLevel: 1
Background
The R-Squared indicator created by Jon Andersen in "Standard error bands" in the September 1996 STOCKS & COMMODITIES .
Function
This script fristly creates the coeffR function which is used to produced the R-Squared indicator. The coeffR function is used to calculate the correlation coefficient R. Once I have created and verified the coeffR function, the R-Sqaured indicator can be built easily.
Key Signal
AvgSqrR --> Smoothed R-Squared Oscillator Output.
Labels and alerts are added.
Remarks
Feedbacks are appreciated.
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.
[blackcat] L1 Jon Andersen Standard Error BandsLevel: 1
Background
The standard error bands created by Jon Andersen in "Standard error bands" in the September 1996 STOCKS & COMMODITIES.
Function
This script calculates the beta and alpha coefficients of the linear regression. First, it creates the calcB and calcA functions, which refer to the beta and alpha coefficients. Create calcB first, then calcA. These functions are used in calculating the regression coefficients for the standard error bands. In This standard error bands indicator, the "Length" value specifies the period of the linear regression line; the default is 21. The SDeg value specifies the smoothing factor that is used to smooth the linear regression and standard error bands; the default is 3.
Key Signal
LinRegS --> standard error bands center line
LinRegS + SErr --> standard error bands upper line
LinRegS - SErr --> standard error bands lower line
Labels and alerts are added.
Remarks
Feedbacks are appreciated.
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.
[blackcat] L1 Enhanced DMILevel: 1
Background
The Directional Movement Index (DMI) is an indicator developed by J. Welles Wilder in 1978 that shows the direction in which the price of an asset is moving. The indicator does this by comparing previous 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 measure the strength of the upward or downward trend.
When + DI is above -DI there is more upward pressure than downward pressure in price. Conversely, when -DI is above + DI, there is more downward pressure on the price. This indicator can help traders estimate the direction of the trend. Crossovers between the lines are also sometimes used as trading signals to buy or sell.
Function
This is a blackcat1402 enhanced DMI indicator by counting period number of +DI and -DI relationship, overbought and oversold states are given.
Key Signal
White line --> +DI
Yellow line --> -DI
Fuchsia line --> ADX
Green line --> ADXR, or averaged ADX
red OB label --> overbought
green OS label --> oversold
Remarks
Feedbacks are appreciated.
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.
[blackcat] L1 Vitali Apirine Rate Of Change With BandsLevel: 1
Background
Vitali Apirine introuced this RoC indicator of “Rate Of Change With Bands” on March 2021.
Function
In Vitali Apirine's article “Rate Of Change With Bands” , the author introduces a concept of identifying overbought and oversold levels based on calculating standard deviation bands of the rate of change (ROC) momentum oscillator. The rate of change bands widen and narrow as the ROC deviation increases and decreases. The author proposes using this indicator in conjunction with other technical analysis methods to determine if the instrument is overbought or oversold.
Key Signal
UpperBand --> overbought threshold
oMARoc --> Output RoC Moving Average
LowerBand --> oversold threshold
Labels
L --> Long
S --> Short
XL --> Close Long
XS --> Close Short
Pros and Cons
100% Vitali Apirine definition translation, even variable names are the same. This help readers who would like to use pine to read his article.
Remarks
The 1st script for Blackcat1402 Vitali Apirine series publication.
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.
[blackcat] L1 Ehlers FM DemodulatorLevel: 1
Background
John F. Ehlers introuced FM demodulator of "A Technical Description Of Market Data For Traders" on TASC MAY 2021
Function
John Ehlers introduces the use of FM modulation to determine the cycles of market data. The author also proposes that noise in market data does not necessarily mean chaos and that pink noise in the data implies memory in the data. According to the author, peaks and valleys of the FM demodulator indicator that he presents in the article can be correlated with major swings of the price. The FM demodulator indicator (FMD) ranges from -1.0 to 1.0. There is a natural delay in the detection of peaks and troughs, as we need to wait while the indicator has moved by a certain amount. The example system buys as soon as a new higher trough has been confirmed.
Key Signal
SS --> FM Demodulator ouput
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 103rd script for Blackcat1402 John F. Ehlers Week publication.
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.
