Pro Algo: Find the Direction and Follow the Trend
Find direction is the key to success for all traders. This script can find the direction and Opening Range. All you need to do is follow the direction and the trend generated from this script. It can be used for day trading and swing trading on all time frames. It generates short-trend, medium-trend and long-trend lines with no repaint and no lagging. It also generates Support/Resistance (S/R) area for Day-time and 24 hours time-frame.
How does it work?
* Defines all support/resistance (S/R) levels based on floor trader’s pivot points and my own S/R levels.
* Calculates the trend/reversal signals, price reactions close to all above S/R levels.
* Generates short-trend, middle-trend and long-trend line based on all combined factors and directions.
What are the signals?
* Pink line are short-trend line
* Green line are short-trend line
* Red line are short-trend
* Deep green area is S/R Opening Range for day-time, which can be used as Open Range Breakout
*
How to use?
* Find the Opening Range(green area)
* Follow the direction of Pink/Green/Red lines
* Trade in the same direction of opening range breakout and the direction of trend(Pink/Green/Red lines)
* It works on all time-frames from 1 min, 2 min, 3 min to 4 hours chart.
* The trend lines will not change, i.e trend lines will be same for all time frames
* There is no way to filter all noises even with higher time frame, all the trades must have a stop Or Reversal the direction once the trend is changed.
* These trend lines provide excellent support and resistances levels.
How to access?
* PM me (ProKingTV) to obtain access
* 10 days Free Trial is available
Cerca negli script per "algo"
[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.
Fibonacci Extension / Retracement / Pivot Points by DGTFɪʙᴏɴᴀᴄᴄɪ Exᴛᴇɴᴛɪᴏɴ / Rᴇᴛʀᴀᴄᴍᴇɴᴛ / Pɪᴠᴏᴛ Pᴏɪɴᴛꜱ
This study combines various Fibonacci concepts into one, and some basic volume and volatility indications
█ Pɪᴠᴏᴛ Pᴏɪɴᴛꜱ — is a technical indicator that is used to determine the levels at which price may face support or resistance. The Pivot Points indicator consists of a pivot point (PP) level and several support (S) and resistance (R) levels. PP, resistance and support values are calculated in different ways, depending on the type of the indicator, this study implements Fibonacci Pivot Points
The indicator resolution is set by the input of the Pivot Points TF (Timeframe). If the Pivot Points TF is set to AUTO (the default value), then the increased resolution is determined by the following algorithm:
for intraday resolutions up to and including 5 min, 4HOURS (4H) is used
for intraday resolutions more than 5 min and up to and including 45 min, DAY (1D) is used
for intraday resolutions more than 45 min and up to and including 4 hour, WEEK (1W) is used
for daily resolutions MONTH is used (1M)
for weekly resolutions, 3-MONTH (3M) is used
for monthly resolutions, 12-MONTH (12M) is used
If the Pivot Points TF is set to User Defined, users may choose any higher timeframe of their preference
█ Fɪʙ Rᴇᴛʀᴀᴄᴇᴍᴇɴᴛ — Fibonacci retracements is a popular instrument used by technical analysts to determine support and resistance areas. In technical analysis, this tool is created by taking two extreme points (usually a peak and a trough) on the chart and dividing the vertical distance by the key Fibonacci coefficients equal to 23.6%, 38.2%, 50%, 61.8%, and 100%. This study implements an automated method of identifying the pivot lows/highs and automatically draws horizontal lines that are used to determine possible support and resistance levels
█ Fɪʙᴏɴᴀᴄᴄɪ Exᴛᴇɴꜱɪᴏɴꜱ — Fibonacci extensions are a tool that traders can use to establish profit targets or estimate how far a price may travel AFTER a retracement/pullback is finished. Extension levels are also possible areas where the price may reverse. This study implements an automated method of identifying the pivot lows/highs and automatically draws horizontal lines that are used to determine possible support and resistance levels.
IMPORTANT NOTE: Fibonacci extensions option may require to do further adjustment of the study parameters for proper usage. Extensions are aimed to be used when a trend is present and they aim to measure how far a price may travel AFTER a retracement/pullback. I will strongly suggest users of this study to check the education post for further details, where to use extensions and where to use retracements
Important input options for both Fibonacci Extensions and Retracements
Deviation, is a multiplier that affects how much the price should deviate from the previous pivot in order for the bar to become a new pivot. Increasing its value is one way to get higher timeframe Fib Retracement Levels
Depth, affects the minimum number of bars that will be taken into account when building
█ Volume / Volatility Add-Ons
High Volatile Bar Indication
Volume Spike Bar Indication
Volume Weighted Colored Bars
This study benefits from build-in auto fib retracement tv study and modifications applied to get extentions and also to fit this combo
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Repeated Median Regression ChannelThis script uses the Repeated Median (RM) estimator to construct a linear regression channel and thus offers an alternative to the available codes based on ordinary least squares.
The RM estimator is a robust linear regression algorithm. It was proposed by Siegel in 1982 (1) and has since found many applications in science and engineering for linear trend estimation and data filtering.
The key difference between RM and ordinary least squares methods is that the slope of the RM line is significantly less affected by data points that deviate strongly from the established trend. In statistics, these points are usually called outliers, while in the context of price data, they are associated with gaps, reversals, breaks from the trading range. Thus, robustness to outlier means that the nascent deviation from a predetermined trend will be more clearly seen in the RM regression compared to the least-squares estimate. For the same reason, the RM model is expected to better depict gaps and trend changes (2).
Input Description
Length : Determines the length of the regression line.
Channel Multiplier : Determines the channel width in units of root-mean-square deviation.
Show Channel : If switched off , only the (central) regression line is displayed.
Show Historical Broken Channel : If switched on , the channels that were broken in the past are displayed. Note that a certain historical broken channel is shown only when at least Length / 2 bars have passed since the last historical broken channel.
Print Slope : Displays the value of the current RM slope on the graph.
Method
Calculation of the RM regression line is done as follows (1,3):
For each sample point ( t (i), y (i)) with i = 1.. Length , the algorithm calculates the median of all the slopes of the lines connecting this point to the other Length -1 points.
The regression slope is defined as the median of the set of these median slopes.
The regression intercept is defined as the median of the set { y (i) – m * t (i)}.
Computational Time
The present implementation utilizes a brute-force algorithm for computing the RM-slope that takes O ( Length ^2) time. Therefore, the calculation of the historical broken channels might take a relatively long time (depending on the Length parameter). However, when the Show Historical Broken Channel option is off, only the real-time RM channel is calculated, and this is done quite fast.
References
1. A. F. Siegel (1982), Robust regression using repeated medians, Biometrika, 69 , 242–244.
2. P. L. Davies, R. Fried, and U. Gather (2004), Robust signal extraction for on-line monitoring data, Journal of Statistical Planning and Inference 122 , 65-78.
3. en.wikipedia.org
Tic Tac Toe (For Fun)Hello All,
I think all of you know the game "Tic Tac Toe" :) This time I tried to make this game, and also I tried to share an example to develop a game script in Pine. Just for fun ;)
Tic Tac Toe Game Rules:
1. The game is played on a grid that's 3 squares by 3 squares.
2. You are "O", the computer is X. Players take turns putting their marks in empty squares.
3. if a player makes 3 of her marks in a row (up, down, across, or diagonally) the he is the winner.
4. When all 9 squares are full, the game is over (draw)
So, how to play the game?
- The player/you can play "O", meaning your mark is "O", so Xs for the script. please note that: The script plays with ONLY X
- There is naming for all squears, A1, A2, A3, B1, B2, B3, C1, C2, C3. you will see all these squares in the options.
- also You can set who will play first => "Human" or "Computer"
if it's your turn to move then you will see "You Move" text, as seen in the following screenshot. for example you want to put "O" to "A1" then using options set A1 as O
How the script play?
it uses MinMax algorithm with constant depth = 4. And yes we don't have option to make recursive functions in Pine at the moment so I made four functions for each depth. this idea can be used in your scripts if you need such an algorithm. if you have no idea about MinMax algorithm you can find a lot of articles on the net :)
The script plays its move automatically if its turn to play. you will just need to set the option that computer played (A1, C3, etc)
if it's computer turn to play then it calculates and show the move it wants to play like "My Move : B3 <= X" then using options you need to set B3 as X
Also it checks if the board is valid or not:
I have tested it but if you see any bug let me know please
Enjoy!
Max Drawdown Calculating Functions (Optimized)Maximum Drawdown and Maximum Relative Drawdown% calculating functions.
I needed a way to calculate the maxDD% of a serie of datas from an array (the different values of my balance account). I didn't find any builtin pinescript way to do it, so here it is.
There are 2 algorithms to calculate maxDD and relative maxDD%, one non optimized needs n*(n - 1)/2 comparisons for a collection of n datas, the other one only needs n-1 comparisons.
In the example we calculate the maxDDs of the last 10 close values.
There a 2 functions : "maximum_relative_drawdown" and "maximum_dradown" (and "optimized_maximum_relative_drawdown" and "optimized_maximum_drawdown") with names speaking for themselves.
Input : an array of floats of arbitrary size (the values we want the DD of)
Output : an array of 4 values
I added the iteration number just for fun.
Basically my script is the implementation of these 2 algos I found on the net :
var peak = 0;
var n = prices.length
for (var i = 1; i < n; i++){
dif = prices - prices ;
peak = dif < 0 ? i : peak;
maxDrawdown = maxDrawdown > dif ? maxDrawdown : dif;
}
var n = prices.length
for (var i = 0; i < n; i++){
for (var j = i + 1; j < n; j++){
dif = prices - prices ;
maxDrawdown = maxDrawdown > dif ? maxDrawdown : dif;
}
}
Feel free to use it.
@version=4
TopTenAlg0 1. Sentiment & MomentumEN: Mum Sentiment & Momentum is an indicator that measures the psychological thresholds of the O candle and the rate of change of the price (Rate of Chance / Bar Momentum). Each price action is a separate action with flexibility. Mum Sentiment & Momentum shows you the speed and direction of this price action. If sentiment and momentum are green, the rise will continue, if it is much above momentum sentiment, it indicates the presence of an enthusiastic psychological movement. If sentiment and momentum are red, a correction may come and a decrease is expected, and if momentum is well below sentiment, there is an enthusiastic sale.
This algorithm is prepared with @Top10Algo ... Optimization periods
TR: Mum Sentiment & Momentum her barda ayrı ayrı olmak üzere O muma ait psikolojik eşikleri ve fiyatın değişim hızını ( Rate of Chance / Mum Momentumu ) ölçen bir göstergedir. Her bir fiyat hareketi esnekliği olan ayrı birer aksiyondur. Mum Sentiment & Momentum size bu fiyat aksiyonunun hızını ve yönünün ne olduğunu gösterir. Eğer sentiment ve momentum yeşil ise yükselişin devam edeceğini, momentum sentiment’ in çok üstünde ise coşkulu bir psikolojik hareketin varlığını gösterir. Eğer sentiment ve momentum kırmızı ise düzeltme gelebileceğini ve düşüş beklenildiğini, momentum ise sentiment’in çok altında ise coşkulu bir satış’ ın olduğunu gösterir.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Periyotlar optimize edilmiştir.
TopTenAlgo 4. Trend Velocity & Quality with Missmatch AlertEN: The Trend Velocity & Quality oscillator, in addition to a classic Rsi indicator, precisely measures the speed and quality of the trend. Rsi is actually a tense indicator that makes technical analysis difficult. For this reason, it makes it difficult for you to get false signals and trade the trend by not being able to analyze the direction of the trend clearly. The Rsi Trend Velocity & Quality oscillator produces more meaningful thresholds with the functions it contains, showing tighter postures that are not tense. It also causes Rsi to move faster without fear of distortion due to excessive noise, causing you to receive signals earlier. In short, it is a smoother oscillator that produces tighter postures, better thresholds, a faster Rsi and early signals.
This algorithm is prepared with @Top10Algo ... Add Mismatch Alerts
TR: Trend Velocity & Quality osilatörü klasik bir Rsi indikatörüne ek olarak trendin hızını ve kalitesini hassas bir biçimde ölçer. Rsi aslında teknik analizi zorlaştıran gergin bir indikatördür. Bu sebeple yanlış sinyaller almanıza ve trendin yönünü net analiz edememenize sebep olarak trade etmenizi zorlaştırır. Rsi Trend Velocity & Quality osilatörü içerdiği fonksiyonlar ile gergin olmayan daha sıkı duruşlar sergileyerek daha anlamlı eşikler üretir. Ayrıca aşırı gürültüye bağlı bozulma korkusu olmadan Rsi’ ın daha hızlı hareket etmesine sebep olarak daha erken sinyal almanıza vesile olur. Yani özetle daha sıkı duruşlar, daha iyi eşikler, daha hızlı bir Rsi ve erken sinyaller üreten pürüzsüz bir osilatördür.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Uyumsuzluk Uyarıları ve Alarmları Eklendi...
TopTenAlgo 5. Missmatch OscillatorEN: The Incompatibility Oscillator is an indicator used to detect trend turns and to catch mismatches in rising or falling waves. The Incompatibility Oscillator measures the mismatch between artificial pricing and actual price with a trend in the market compared to a Center Of Gravity . When designing the oscillator, my goal was to catch positive or negative mismatches as in RSI . Because most of the RSI incompatibilities are not working or running late, especially on short term charts. My goal was to eliminate the illusion here. I do not use any predefined indicators ( RSI etc.) in the Incompatibility Osilautre. It consists of a multiline mathematical function that scans the oscillator price movement in 100 steps. The aim here is to measure the price and the speed of the trend at the same time and catch the mismatches at the end of the trend.
This algorithm is prepared with @Top10Algo ...
TR: Uyumsuzluk Osilatörü trend dönüşlerini tespit etmek için ve yükseliş yada düşüş dalgalarındaki uyumsuzlukları yakalamak için kullanılan bir göstergedir. Uyumsuzluk Osilatörü piyasada trendle birlikte oluşa yapay fiyatlama ile gerçek fiyat arasındaki uyumsuzluğu bir ağırlık merkezine göre(Center Of Gravity ) ölçer. Osilatörü tasarlarken amacım RSI’ daki gibi pozitif yada negatif uyumsuzlukları yakalamaktı. Çünkü RSI uyumsuzlukların çoğu özelliklede kısa vade grafiklerde ya çalışmıyor yada geç çalışıyor. Amacım burdaki yanılgıyı ortadan kaldırmaktı. Uyumsuzluk Osilaötründe herhangi bir ön tanımlı gösterge( RSI vs.) kullanmıyorum. Osilatör fiyat hareketini 100 adımda tarayan bir multiline matemetiksel fonksiyondan oluşuyor. Burada amaç fiyat ile trendin hızını aynı anda ölçmek ve trend sonlarındaki uyumsuzlukları yakalamaktır.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 6. Trading IndexEN: Trend & Trading Index Oscillator is an indicator developed using Stochastic which makes your day trading easier. Is it to measure price swings with a more sensitive and close to zero error margin, and is the price movement and the direction of the trend compatible? is the ideal guide to look at. The oscillator consists of a 5 step system. Depressions below -0.85 are measured to determine the intake region (Lowlander 2) at the bottom of the step. At the top of the step, enthusiastic movements above 0.90 are detected to determine the sales region(Highlander 2). The buffer zone is the BALANCE "0" zone and its highlander "0. 40 zone close to enthusiasm, and the Lowlander "-0.50" zone close to depression.
This algorithm is prepared with @Top10Algo ... Study modify...
TR: Trend & Trading Index Osiatörü Stochastic kullanırak geliştirilen ve gün içi al satlarınızı kolaylaştıran bir göstergedir. Fiyat salınımlarını daha hassas ve sıfıra yakın bir hatalama payıyla ölçmek ve fiyat hareketi ile trendin yönü uyumlu mu? bakmak için en ideal yol göstericidir. Osilatör 5 basamaklı bir sistemden oluşmaktadır. Basamağın en altında alım bögesini belirlemek için -0.85 değerinin altındaki depresyonlar(Lowlander 2) ölçülür. Basamağın en üstünde ise satış bölgesini belirlemek için 0.90 değerinin üstündeki coşkulu hareketler (Highlander 2) tespit edilir. Ara bölge ise BALANCE “0” bögesi ve onun coşkuya yakın Highlander 1 “0.40" bölgesi ile depresyona yakın Lowlander 1 “-0.50" bölgesi yer alır.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Çalışma Prensipleri modifiye edildi...
TopTenAlgo 7. Linear Trend Tracking (Without Volume & Coloring)EN:
Dogrusal Trend Takipcisi is used in conjunction with Gosterge Trend. Both indicators are for approval of each other. While the Indicator looks at Logarithmic to prices, It looks at Linear. Although its mathematical function is stuck between two trend lines like Gösterge Trend, the Dogrusal Trend Takipcisi can also be used as the main histogram, the absolute value of the difference between the trend and the down trend line .
If the uptrend line is larger than the downtrend, histogram bars are light green or dark green areas. When the bullish trend line now crosses the down trend line , the bar is dark green. When the up trend line is larger than the down trend line and the up trend line increases, the bars also become dark green. This tendency starts to keep getting stronger. If the bullish trend line is larger than the bearish trend line but decreases, the bars are light green. This is when the bullish trend loses strength, So, Uptrend is weakening.
If the downtrend line is larger than the bullish trend line , a negative occur, and the bars become red or light red. If the bearish trend line has exceeded the bullish trend line or the value is increasing, the bar is in red. If the bearish trend line is larger than the bullish trend line but the value is decreasing, the bars are light red. This comes when the downward trend is losing power. So, Downtrend is weakening. For symbols for which the Volume Indicator cannot be read.
This algorithm is prepared with @Top10Algo ...
TR: Doğrusal Trend Takipçisi Gösterge Trendle ile beraber kullanılır. Her iki göstergede birbirinin onayını almak içindir. Gösterge Trend fiyatlara logaritmik bakarken, Doğrusal Tren Takipçisi Linear bakar. Matematiksel fonsiyonu Gösterge Trend gibi iki trend çizgisi arasına sıkışmış olsada Doğrusal Trend Takipçisi ayrıca ana histogram olarak gösterilen yukarı trend ve aşağı trend çizgisi arasındaki farkın mutlak değerini linear olarak hesaplayarak momentumun gücünü ölçer ve size zayıflayan trendleri haber eder.gösterir.
Yukarı trend çizgisi aşağı trendden büyükse (bu nedenle pozitif hareketi gösterir), histogram çubukları açık yeşil veya koyu yeşil olacaktır. Artış trendi çizgisi şimdi aşağı trend çizgisini geçtiğinde, çubuk koyu yeşil olacaktır. Yukarı trend çizgisi aşağı trend çizgisinden daha büyük olduğunda ve yukarı trend çizgisi arttığında çubuklar da koyu yeşil olur. Bu eğilimin güçlenmeye devam ettiği anlamına geliyor. Yükseliş trendi çizgisi düşüş trendi çizgisinden büyükse ancak azalıyorsa, çubuklar açık yeşil olacaktır. Bu yükseliş eğiliminin güç kaybettiği anlamına gelir.Yani yükseliş trendi zayıflıyordur.
Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, olumsuz bir eğilim oluşur ve çubuklar kırmızı veya açık kırmızı olur. Düşüş trendi çizgisi yükseliş trendi çizgisini aştıysa veya değer artıyorsa, çubuk kırmızı olacaktır. Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, ancak değer azalıyorsa, çubuklar açık kırmızı olacaktır. Bu düşüş eğiliminin güç kaybettiği anlamına gelir. Yani düşüş trendi zayıflıyordur. Hacim Göstergesinin okunamadığı semboller içindir.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 7. Linear Trend Tracking (Include Volume & Coloring)EN:
Dogrusal Trend Takipcisi is used in conjunction with Gosterge Trend. Both indicators are for approval of each other. While the Indicator looks at Logarithmic to prices, It looks at Linear. Although its mathematical function is stuck between two trend lines like Gösterge Trend, the Dogrusal Trend Takipcisi can also be used as the main histogram, the absolute value of the difference between the trend and the down trend line .
If the uptrend line is larger than the downtrend, histogram bars are light green or dark green areas. When the bullish trend line now crosses the down trend line , the bar is dark green. When the up trend line is larger than the down trend line and the up trend line increases, the bars also become dark green. This tendency starts to keep getting stronger. If the bullish trend line is larger than the bearish trend line but decreases, the bars are light green. This is when the bullish trend loses strength, So, Uptrend is weakening.
If the downtrend line is larger than the bullish trend line , a negative occur, and the bars become red or light red. If the bearish trend line has exceeded the bullish trend line or the value is increasing, the bar is in red. If the bearish trend line is larger than the bullish trend line but the value is decreasing, the bars are light red. This comes when the downward trend is losing power. So, Downtrend is weakening.
This algorithm is prepared with @Top10Algo ...
TR: Doğrusal Trend Takipçisi Gösterge Trendle ile beraber kullanılır. Her iki göstergede birbirinin onayını almak içindir. Gösterge Trend fiyatlara logaritmik bakarken, Doğrusal Tren Takipçisi Linear bakar. Matematiksel fonsiyonu Gösterge Trend gibi iki trend çizgisi arasına sıkışmış olsada Doğrusal Trend Takipçisi ayrıca ana histogram olarak gösterilen yukarı trend ve aşağı trend çizgisi arasındaki farkın mutlak değerini linear olarak hesaplayarak momentumun gücünü ölçer ve size zayıflayan trendleri haber eder.gösterir.
Yukarı trend çizgisi aşağı trendden büyükse (bu nedenle pozitif hareketi gösterir), histogram çubukları açık yeşil veya koyu yeşil olacaktır. Artış trendi çizgisi şimdi aşağı trend çizgisini geçtiğinde, çubuk koyu yeşil olacaktır. Yukarı trend çizgisi aşağı trend çizgisinden daha büyük olduğunda ve yukarı trend çizgisi arttığında çubuklar da koyu yeşil olur. Bu eğilimin güçlenmeye devam ettiği anlamına geliyor. Yükseliş trendi çizgisi düşüş trendi çizgisinden büyükse ancak azalıyorsa, çubuklar açık yeşil olacaktır. Bu yükseliş eğiliminin güç kaybettiği anlamına gelir.Yani yükseliş trendi zayıflıyordur.
Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, olumsuz bir eğilim oluşur ve çubuklar kırmızı veya açık kırmızı olur. Düşüş trendi çizgisi yükseliş trendi çizgisini aştıysa veya değer artıyorsa, çubuk kırmızı olacaktır. Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, ancak değer azalıyorsa, çubuklar açık kırmızı olacaktır. Bu düşüş eğiliminin güç kaybettiği anlamına gelir. Yani düşüş trendi zayıflıyordur.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 8. Elliottwave Cycle EN: The Elliottwaves Cycle Oscillator is an indicator that allows the detection of impulsive (impulsive / ascend) or corrective (correction / fall) waves, ie each cycle (cycle) in Elliott Waves . The aim is to measure the speed of a real trend and to predict returns. In the uptrend or impulsive movement, Cycle continues its movement in the upper band after the price is set on a certain band, while in the downtrend or corrective move, the Cycle continues its movement in the lower band.
This algorithm is prepared with @Top10Algo ...
TR: Elliottwaves Cycle Osilatörü Elliott Dalgalarında ki impulsive (itkisel/yükseliş) yada corrective (düzeltme/düşüş) dalgaların yani her bir siklus’ un (cycle) önceden tespit edilmesini sağlayan bir göstergedir. Amaç gerçek bir trendin hızını ölçmek ve geri dönüşleri önceden tespit etmektir. Yükseliş trendi içinde yada impulsive bir harekette fiyat belli bir banda oturduktan sonra Cycle üst band’ da hareketine devam ederken, düşüş trendi içinde yada corrective bir harekette fiyat belli bir banda oturduktan sonra Cycle alt bandda hareketine devam eder.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 9. Formation & Patterns HuntersEN:
• All Harmonic and Triangle Formation Patterns and OBO (Added) Displays labels with detected patterns.
• Displays the slope information rate of price, time difference and pricing angle (Experimental, Vary.)
• It shows the effects such as Target Price, Stoploss price or formation start price.
• It instantly detects the formation changes and allows you to make a reversal.
This algorithm is prepared with @Top10Algo ...
TR:
• Tüm Harmonik ve Triangle Formayon Kalıpları ile OBO(Eklendi). Algılanan kalıplara sahip tüm etiketleri görüntüler.
• Fiyat, zaman farkı ve fiyatlama açısının eğim bilgi oranını görüntüler (Deneysel, Değişiklik Gösterebilir.)
• Hedef Fiyat, Stoploss fiyatı yada formasyon başlangıç fiyatı gibi etkiketleri gösterir.
• Formasyon değişiklerini anında algılayarak hızlı dönüş (reversal) yapmanızı sağlar.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
Reditum ScanReditum Scan allows you to synchronize the Market Profile Points of Control (POC) in different time intervals to a single graph.
Components of Reditum Scan:
POC's (30 min, 60 min, 120 min, 240 min, daily)
How does it work?
The algorithm allows you to identify areas of strong support and resistance, based on where most of the trading activity takes place.
What are the strategies for considering placing a trade?
1.Cluster (agglomeration of multiple POC's) to cluster (by identifying two clusters, the price could go smoothly from one Cluster to the other).
2. From cluster (agglomeration of multiple POCs, each with unique color. Now, from this cluster important movements may begin).
3. Towards a cluster (like the “from cluster” pattern, we identify areas of high interest for institutional companies, in this pattern the cluster acts like a magnet, if price is near it may be fully attracted towards the agglomeration).
If you are a member of the mastermind tribe please contact the support team within the tribe to access the indicator (do not leave personal or subscription data in the comments on this page), if not, please visit the link located in our signature.
Thanks for taking a look!
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Reditum Scan permite sincronizar los puntos de control (POC) de los perfiles de mercado en varios intervalos de tiempo en una sola gráfica.
Componentes de Reditum Scan:
POC´s (30 min, 60 min, 120 min, 240 min, diario)
¿Cómo funciona?
El algoritmo le permite identificar áreas de fuerte soporte y resistencia, según el lugar donde se lleva a cabo la mayor parte de la actividad comercial.
¿Cuáles son las estrategias para considerar una entrada?
1.Cluster (aglomeración de múltiples POC´s) a cluster (al identificar dos cluster el precio podría ir con fluidez desde uno al otro que lo recibe).
2.Desde cluster (lo identificamos con la aglomeración de múltiples POC identificados con colores que hacen fácil la lectura. Ahora, desde este cluster podrían iniciar movimientos importantes).
3.Hacia cluster (al igual que el patrón “desde cluster” identificamos zonas de alto interés para los institucionales, en este patrón el cluster actúa como un imán para el precio, de modo que cuando el precio está lejos de él, lo podría atraer con fuerza).
Para acceder a la herramienta, si usted es miembro de la tribu mastermind por favor comunicarse con el equipo de soporte dentro de la tribu (no dejar datos personales ni de suscripción en los comentarios de esta página), si no es miembro por favor visite el enlace a continuación en nuestra Firma.
Gracias por echarle un vistazo!.
[blackcat] L2 Ehlers Autocorrelation PeriodogramLevel: 2
Background
John F. Ehlers introduced Autocorrelation Periodogram in his "Cycle Analytics for Traders" chapter 8 on 2013.
Function
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.
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.
Key Signal
DominantCycle --> Dominant Cycle
Period --> Autocorrelation Periodogram Array
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 49th script for Blackcat1402 John F. Ehlers Week publication.
Courtesy of @RicardoSantos for RGB functions.
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.
