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Bands and Channels

FATL, SATL, RFTL, & RSTL Digital Signal Filter Smoother [Loxx]FATL, SATL, RFTL, & RSTL Digital Signal Filter (DSP) Smoother is is a baseline indicator with DSP processed source inputs What are digital indicators: distinctions from standard tools, types of filters. To date, dozens of technical analysis indicators have been developed: trend instruments, oscillators, etc. Most of them use the method of averaging historical data, which is considered crude. But there is another group of tools - digital indicators developed on the basis of mathematical methods of spectral analysis. Their formula allows the trader to filter price noise accurately and exclude occasional surges, making the forecast more effective in comparison with conventional indicators. In this review, you will learn about their distinctions, advantages, types of digital indicators and examples of strategies based on them. Two non-standard strategies based on digital indicators Basic technical analysis indicators built into most platforms are based on mathematical formulas. These formulas are a reflection of market behavior in past periods. In other words, these indicators are built based on patterns that were discovered as a result of statistical analysis, which allows one to predict further trend movement to some extent. But there is also a group of indicators called digital indicators. They are developed using mathematical analysis and are an algorithmic spectral system called ATCF (Adaptive Trend & Cycles Following). In this article, I will tell you more about the components of this system, describe the differences between digital and regular indicators, and give examples of 2 strategies with indicator templates. ATCF - Market Spectrum Analysis Method There is a theory according to which the market is chaotic and unpredictable, i.e. it cannot be accurately analyzed. After all, no one can tell how traders will react to certain news, or whether some large investor will want to play against the market like George Soros did with the Bank of England. But there is another theory: many general market trends are logical, and have a rationale, causes and effects. The economy is undulating, which means it can be described by mathematical methods. Digital indicators are defined as a group of algorithms for assessing the market situation, which are based exclusively on mathematical methods. They differ from standard indicators by the form of analysis display. They display certain values: price, smoothed price, volumes. Many standard indicators are built on the basis of filtering the minute significant price fluctuations with the help of moving averages and their variations. But we can hardly call the MA a good filter, because digital indicators that use spectral filters make it possible to do a more accurate calculation. Simply put, digital indicators are technical analysis tools in which spectral filters are used to filter out price noise instead of moving averages. The display of traditional indicators is lines, areas, and channels. Digital indicators can be displayed both in the form of lines and in digital form (a set of numbers in columns, any data in a text field, etc.). The digital display of the data is more like an additional source of statistics; for trading, a standard visual linear chart view is used. All digital models belong to the category of spectral analysis of the market situation. In conventional technical indicators, price indications are averaged over a fixed period of time, which gives a rather rough result. The use of spectral analysis allows us to increase trading efficiency due to the fact that digital indicators use a statistical data set of past periods, which is converted into a “frequency” of the market (period of fluctuations). Fourier theory provides the following spectral ranging of the trend duration: low frequency range (0-4) - a reflection of a long trend of 2 months or more medium frequency range (5-40) - the trend lasts 10-60 days, thus it is referred to as a correction high frequency range (41-130) - price noise that lasts for several days The ATCF algorithm is built on the basis of spectral analysis and includes a set of indicators created using digital filters. Its consists of indicators and filters: FATL: Built on the basis of a low-frequency digital trend filter SATL: Built on the basis of a low-frequency digital trend filter of a different order RFTL: High frequency trend line RSTL: Low frequency trend line Inclucded: 4 DSP filters Bar coloring Keltner channels with variety ranges and smoothing functions Bollinger bands 40 Smoothing filters 33 souce types Variable channels
Pine Script™ indicator
by loxx
3
Compare ticker against SPX - yoyo This script is built on a request of one of the best trader yoyo. The script compares the performance of a tickers against SPX. The script gives user option to override default SPX ticker to a ticker of their choice using settings. The script does a % change comparison against base stock which is SPX by default for same timeframes and you can see relativity of stock to the other. It also does plot a line that shows any divergence.
Pine Script™ indicator
by beststockalert
Range Bound Channel Index (RBCI) w/ Expanded Source Types [Loxx]Range Bound Channel Index (RBCI) w/ Expanded Source Types is a reversal and trend indicator. This version includes Bollinger bands to show trend exhaustion What is Range Bound Channel Index (RBCI)? Range Bound Channel Index (RBCI) is calculated by using a channel (bandwidth) filter (CF). Channel filter simultaneously fulfills two functions: removes low frequent trend formed by low frequent components of the spectrum; removes high frequency noise formed by the high frequent components of the spectrum. When RBCI approaches its local maximum the prices approach upper border of the trading channel and when RBCI approach its local minimum the prices approach the lower border of the trading corridor. Included: -Toggle on/off bar coloring -Loxx's Expanded Source Types
Pine Script™ indicator
by loxx
CFB Adaptive MOGALEF Bands [Loxx]A Pine Script adaptation from MOGALEF Bands . What are MOGALEF Bands? Actual MOGALEF bands code is the final result of a lot of contributors.​ Syllables MO-GA-LEF are the initials of three of them. The basic idea of bands: the markets are still in range, and trends that are moving ranges. The Mogalef bands try to estimate the current range and to project its on the future if prices move. This future estimation is often of great relevance and very useful, especialy for market profile users or pivot points users. What is Composite Fractal Behavior ( CFB )? All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets. Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration. Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action. The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit! This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic. CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis. What is Jurik Volty used in the Juirk Filter? One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive. What is the Jurik Moving Average? Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines. Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun. Included: -Color bars -Fill levels
Pine Script™ indicator
by loxx
2
LNL Pullback ArrowsBuying the dip has never been easier! LNL Pullback Arrows are here to pinpoint the best possible entries for the trend following setups. With the Pullback Arrows, trader can pick his own approach and risk level thanks to four different types of arrows. The goal of these arrows is to force the traders to scale in & out of trades which is in my opinion crucial when it comes to trend following strategies. These arrows were designed primarily for the daily & weekly time frame (swing trading). Four Types of Pullback Arrows: 1. Aggro Arrows - Ideal for aggresive approach during parabolic trends. Sometimes trends are so strong that the price barely revisits the daily 8 EMA. This is where the aggro arrows can perfectly pinpoint the aggresive high risk entries. Ideal for halfsize or 1/4 size of the full position. Aiming for quick 1-2 day moves targeting the recent high/low. These arrows could be also named as scalping arrows for the swing traders. A quick In & Out. 2. HalfSize Arrows - Medium risk approach. First arrows to scale in. HalfSize arrows are the first sign that the pullback might be ending, yet there is still some space left for an even deeper pullback. That is the reason why they are called half-size. Ideally taken with half-sized position. When trading the HalfSize Arrows, It is better to have some "spare ammo in the gun" ready to use. 3. FullSize Arrows - Regular risk approach. These arrows represent a zone where the core of the posititon should be taken. The point of validity for the trend is not that far away, meaning the risk can be kept tight. Ideal for scailing the other halfs or quarters of the full position. Also great for more conservative traders or environments with higher volatility. 4. Rare Arrows - Offer the best risk to reward entries during the trend. Rare Arrows should be the "last kick" of the retracement, therefore stops can be positioned really tight. They either trigger the stop immidiately or they provide another juicy leg up or down in the direction of the trend. However, they really do appear rarely. Simple EMA Cloud: A simple cloud based on 21 and 55 exponential moving averages. This default length creates a pullback zone that is wide enough for the conservative traders but also give the opportunities to more aggresive traders. Alternatives such as 8 & 21, or 21 & 34 are forming the zone that is too aggresive and usually too thin. Of course, cloud can be fully adjusted or turned off completely. The only role of the cloud is to gauge the trend. Tips & Tricks: 1.Importance of the Scailing - As already stated, scailing is crucial to this since there is no way of knowing the exact level at which the price magically bounce every time. It is hard to tell where and which EMA will be respected. How can we know it will be 21 EMA every time? or 34 EMA or 10 EMA or 100 SMA or 50 DMA ... Single MA does not make a trend. This is the reason why scailing is so important. Scailing can make a difference. 2. Nothing is Perfect - Same as any other study, nothing works 100% perfectly. Sometimes the setup will go right against you and sometimes the price will fade away sideways and breaks off the structure of the trend. This is not a magic certainty tool. This is just another probability tool. 3. Point of Validity & Other Studies - Even though the pullback arrows can be a stand-alone strategy. It is important to use other indicators that visualize the actual trend. Whether its EMA Cloud or EMAs or DMI Bars or Keltner Channels, there should be something that validates the trend, something that tells the trend is over. (Pullback Arrows are not showing the actual stops!). Hope it helps.
Pine Script™ indicator
by lnlcapital
8
Weighted Harrell-Davis Quantile Estimator with AD Oscillatorxel_arjona Licensing: This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International Copyright (c) 2021 ( CC BY-NC-SA 4.0) Copyright's & Mentions: The Gamma Functions & Beta Probability Density Functions C# implementations by the Math.NET Numerics, part of the Math.NET Project. The Regularized Incomplete (Left) Beta Function C# implementation by the SAMTools, htslib project. The Weighted Harrell-Davis Quantile estimator; C# & R implementations by Andrey Akinshin. External PineScript code, methods, support & consultancy by @PineCoders staff with special mention for: + "ma sorter ('sort by array' example)- JD" by @Duyck. + Porting, mods, compilation and debugging for this script by @XeL_Arjona for the TradingView's @PineCoders community. I made it an oscillator. Features include normalization, line display, and smoothing. :DDD Enjoy! (Ive been wanting to do this for a while but I wanted to make the library first but you know what this was fun so there you go its here now)
Pine Script™ indicator
by The_Peaceful_Lizard
6
Adaptive Price ZoneThe Adaptive Price Zone was developed by Lee Leib­farth in 2006, and it attempts to create a band for mean-reversal strategies. It works by taking the double-smoothed average of the volatility from 5 days and adding/subtracting it from the average price of the day (hl2). If you are planning to use it, remember that it changes throughout the day , so you might want to use an offset. You can also choose to use the true range for the volatility instead of the high and low difference.
Pine Script™ indicator
by EduardoMattje
SST Table NewData Table for Update GTT Orders in Stocks.... Updated GTT Order details for SST , also added Relative Strength of Stock compared with NIFTY Index for 55 Days (3 Months) period. RS line plotted on chart… taken reference of close price of day candle… just a bigger picture of actual RS indicator plotted on chart itself... RS line in red color means below zero line (negative) and green color means above zero line (positive). Added code for checking RS value on chart for any previous day.
Pine Script™ indicator
by atulkharadi
9
ALMA stdev band with fibsArnaud Legoux Moving Average with standard deviation band and standard deviation Fibonacci levels. Standard deviation band is alma + stdev and alma - stdev. Fibonacci levels are alma + stdev * fib ratio and alma - stdev * fib ratio (0.382 / 0.5 / 0.618 / 1.618 / 2.618). Used like a moving average, but also shows probable price range based on past volatility, and helps to recognize support/resistance levels, trends and trend momentum based on the Fibonacci levels.
Pine Script™ indicator
by BobBasic
1
LutrewMTF// ————— Plots var cMarkerUp = color.new(color.lime, 0) var cMarkerDn = color.new(color.red, 0) plotshape(A1U, "Marker 1 Up", shape.triangleup, location.belowbar, cMarkerUp, size = size.tiny, text = "1") plotshape(A2D, "Marker 2 Dn", shape.triangledown, location.abovebar, cMarkerDn, size = size.tiny, text = "2") plotshape(A3U, "Marker 3 Up", shape.triangleup, location.belowbar, cMarkerUp, size = size.tiny, text = "‎ 3") plotshape(A4D, "Marker 4 Dn", shape.triangledown, location.abovebar, cMarkerDn, size = size.tiny, text = "4 ‎") plotshape(A5U, "Marker 5 Up", shape.triangleup, location.belowbar, cMarkerUp, size = size.tiny, text = "‎ ‎ 5") plotshape(A6D, "Marker 6 Dn", shape.triangledown, location.abovebar, cMarkerDn, size = size.tiny, text = "6 ‎ ‎") plotshape(A7U, "Marker 7 Up", shape.triangleup, location.belowbar, cMarkerUp, size = size.tiny, text = "‎ ‎ 7") plotshape(A8D, "Marker 8 Dn", shape.triangledown, location.abovebar, cMarkerDn, size = size.tiny, text = "8 ‎ ‎") // ————— Alert alertcondition( A1U or A2D or A3U or A4D or A5U or A6D or A7U or A8D, "Pivots MTF: Configured Markers", "Pivots MTF Alert") // }
Pine Script™ indicator
by AyberkOkuur
1
[blackcat] L3 Xerxes ChannelsLevel 3 Background The stock price channel theory is a widely used and mature theory in western securities analysis. In the 1970s, American Xerxes first established this theory. Function In fact, it is contained by the short-term small channel and runs up and down in the long-term large channel. The basic trading strategy is that when the short-term small channel approaches the long-term large channel, it indicates a recent reversal of the trend. The trend reverses downwards as the upper edge approaches, capturing short-term selling points. The trend reverses upward as the lower edge approaches, capturing short-term buying points. Studying this method can successfully escape from the top and catch the bottom in every wave of the market and seek the maximum profit. The long-term major channel reflects the long-term trend state of the stock, the trend has a certain inertia, and the extension time is long, reflecting the large cycle of the stock, which can grasp the overall trend of the stock, and is suitable for medium and long-term investment; The short-term small channel reflects the short-term trend status of the stock, accommodates the ups and downs of the stock, effectively filters out the frequent vibrations in the stock trend, but retains the up and down fluctuations of the stock price in the large channel, reflecting the small cycle of the stock, suitable for medium short-term speculation; The long-term large channel is upward, that is, the general trend is upward. At this time, when the short-term small channel touches or is close to the bottom of the long-term large channel, it indicates that the stock price is oversold and there is a possibility of a rebound. The short-term small channel has touched the top of the long-term large channel, indicating that the stock price has been overbought, and there will be a correction or consolidation in the form, and there is a trend of approaching the long-term large channel. It is more effective if the K-line trend and the short-term small channel trend also match well; The long-term big channel goes up, and the short-term small channel touches the top of the long-term big channel. At this time, the stock is in the stage of strong elongation. It can be appropriate to wait and see. When it turns flat in the short-term or turns its head down, it is a good delivery point, but it will penetrate If the area is a risk area, you should pay close attention to the reversal signal and ship at any time; The long-term large channel is downward, that is, the general trend is downward. At this time, the short-term small channel or the stock price peaks and the selling pressure increases, and there is a downward trend again. The bottoming pattern means that the buying pressure is increasing, and there is a requirement for slow decline adjustment or stop decline, and the price movement will tend to be close to the upper edge of the long-term large channel. Callbacks should be treated with caution, and buy only after confirming the reversal signal; The long-term large channel is down, while the short-term small channel penetrates the bottom line of the long-term large channel downward. At this time, it is mostly a slump process, and there is a rebound requirement, but the decline process will continue. It is not appropriate to open a position immediately. There is an upward trend, and when the short-term small channel turns back up and crosses back, it is a better opportunity to open a position at a low level; When the long-term large channel is flat horizontally for a long time, it is to consolidate the market, and the price fluctuates up and down along the channel. At this time, it is the stage of adjustment, opening and washing, indicating the emergence of the next round of market. Short-term speculators can sell on highs and buy on lows. If the short-term small channel strongly crosses the long-term large channel, and the long-term large channel turns upward, it indicates that a strong upward trend has begun. If the short-term small channel penetrates down the long-term large channel, and the long-term large channel turns downward, it indicates that the decline will continue. In a large balanced market, buy when the stock price hits the lower rail of the large channel at the bottom of the swing, and sell when the stock price hits the upper rail of the large channel at the peak of the swing. Remarks Feedbacks are appreciated.
Pine Script™ indicator
by blackcat1402
2
Standard deviation channel of linear regression distance [AbAh]The indicator calculates the distance between linear regression line and the data point (price) as a percentage , then calculates the standard deviation for the linear regression distance , then draw the channel of two lines depending on the values of standard deviation . ///////// How to use //////////////// 1 - for Best result , indicator should be used on 2H frame Time of less : like 1H or 30 min 2 - The upper line and the lower line, both play a role as a support and resistance area, when the price bounces from the upper zone or lower zone, there is a high probability that it will move to the other line. 3 - The price breakout of one of the lower or upper lines may indicate a major price movement coming in the direction of the breakout /////////////////////////////////////
Pine Script™ indicator
by AbdullahAhmedEgypt
2
VWAP Band TrendThis indicator combines two features: VWAP bands for range trading and trends for trend-following. The white bands offer support/resistance levels ideal for range trading: short when rejecting off the upper band, long when rejecting off the lower. Take profit either when hitting the (faint gray) midline and/or when hitting the band on the far side. The trend analysis shows green or red ranges above or below the bands to indicate trend strength - larger swaths of green or red indicates strong trend while shorter swathes indicate weak. If the upper trend color doesn't match the lower trend color, the trend is undecided or transitioning. Optionally, trend initiation indicators can be turned on to show above/below candles where a trend switch is taking place.
Pine Script™ indicator
by Austimize
5