Black FridayGIẢM GIÁ lên tới 80%

Tìm kiếm tập lệnh với "curve"

Moving Regression Prediction BandsIntroducing the Moving Regression Prediction Bands indicator. Here I aimed to combine the principles of traditional band indicators (such as Bollinger Bands), regression channel and outlier detection methods. Its upper and lower bands define an interval in which the current price was expected to fall with a prescribed probability, as predicted by the previous-step result of the local polynomial regression (for the original Moving Regression script, see link below). Algorithm 1. At every time step, the script performs local polynomial regression of the sample data within the lookback window specified by the Length input parameter. 2. The fitted polynomial is used to construct the Moving Regression time series as well as to extrapolate data, that is, to predict the next data point ( MRPrediction ). 3. The accuracy of local interpolation is estimated by means of the root-mean-square error ( RMSE ), that is, the deviation between the fitted polynomial and the observed values. 4. The MRPrediction and RMSE values calculated for the previous bar are then used to build the upper and lower bands , which I define as follows: Upper Band = MRPrediction_prev + Multiplier *( RMSE_prev ) Lower Band = MRPrediction_prev - Multiplier *( RMSE_prev ) Here the Multiplier is a user-defined parameter that should be interpreted as a quantile in the standard normal distribution (the default value of 2.0 roughly corresponds to the 95% prediction interval). To visualize the central line , the script offers the following options: Previous-Period MR Prediction: MRPrediction_prev time series from the above equation. MR: Conventional Moving Regression time series. Ribbon: “Previous-Period MR Prediction” and “MR” curves plotted together and colored according to their relative value (green if MR > Previous MR Prediction; red otherwise). Usage My original idea was to use the band breakouts as potential trading signals. For example, the price crossing above the upper band is a bullish signal , being a potential sign that price is gaining momentum and is out of a previously predicted trend. The exit signal could be the crossing under the lower band or under the central line. However, be aware that it is an experimental indicator, so you might fin some better strategies. Feel free to play around!
Chỉ báo Pine Script®
của tbtkg
33
Trend ChannelMarket engineers can use channels to find out when a market has entered an undervalued or overvalued zone. Purchases and sales take place in these zones. Professionals use trending channels to find out when the market has overtaken itself and where it is likely to reverse. Upper channel line = EMA + EMA x channel coefficient Lower channel line = EMA - EMA x channel coefficient The topline reflects the bulls' strength in raising prices above the average value consensus. This line marks the normal limit of optimism in the market. The bottom line of the channel reflects the strength of the bears pushing prices below the average consensus of values. This line marks the normal limit of pessimism in the market. The coefficient is used to correct the distance to the moving average until the channel contains 95% of all prices. Only the tips and the lowest bottoms are allowed to protrude. For these peaks and curves and sideways trends, I have added two more switchable lines to the border lines, with a distance of 23.6% (light blue). The larger the time frame, the wider the channel. If you buy near a rising moving average, you take profits near the upper line of the channel. If you are short near a falling moving average, you should close out near the bottom of the channel. If the moving average is essentially flat, then you should be long on the bottom of the channel and short on the top of the channel. You realize profits when the prices have returned to their moving average to normal. Interesting for day traders: Adjust the moving average so that it has the same slope as the quotes on the hourly chart. With the coefficient you set the distance between the border lines. Perhaps adding the 23.6% lines will help, where the sideways trends are starting. Set the resolution to "1 hour". If you want to trade with these settings in short time units, e.g. in the 3 minute chart or in the 1 minute chart, then you now have target marks and indications in which direction the prices will possibly move when the prices have reached the moving average or one of the border lines. The text contains excerpts from "Come into my Trading Room" by Dr. Alexander Elder. The indicator has an additional exponential moving average with adjustable period, adjustable shift and adjustable source for the narrow range of quotations and final determination of direction. The chart shows how the trend channel and the Fibonacc trading indicator can complement each other. The text contains excerpts from "Come into my Trading Room" by Dr. Alexander Elder. Markttechniker können Kanäle verwenden um heraus zu finden, wann ein Markt eine unterbewertete oder überbewertete Zone erreicht hat. An diesen Zonen finden Käufe und Verkäufe statt. Profis benutzen Trendkanäle um herauszufinden, wann der Markt sich selbst überholt hat und wo er wahrscheinlich eine Umkehrbewegung vollziehen wird. Obere Kanallinie = EMA + EMA x Kanalkoeffizient Untere Kanallinie = EMA - EMA x Kanalkoeffizient Die Oberlinie reflektiert die Kraft der Bullen, mit der sie die Kurse über den durchschnittlichen Wertekonsens anheben. Diese Linie kennzeichnet die normale Grenze des Optimismus im Markt. Die untere Linie des Kanals reflektiert die Kraft der Bären, mit der sie die Kurse unter den durchschnittlichen Wertekonsens drücken. Diese Linie kennzeichnet die normale Grenze des Pessimismus im Markt. Mit dem Koeffizienten wird der Abstand zum gleitenden Durchschnitt so lange korrigiert, bis der Kanal 95% aller Kurse enthält. Lediglich die Spitzen und die niedrigsten Böden dürfen herausragen. Für diese Spitzen und Bögen und Seitwärtstrends habe ich zu den Grenzlinien zwei weitere zuschaltbare Linien, mit einem Abstand von 23,6%, hinzugefügt (hellblau). Je größer der Zeitrahmen ist, um so breiter ist der Kanal. Wenn Sie in der Nähe eines ansteigenden gleitenden Durchschnitts kaufen, nehmen Sie die Gewinne in der Nähe der oberen Grenzlinie des Kanals mit. Wenn Sie in der Nähe eines fallenden gleitenden Durchschnitts leerverkaufen, sollten Sie in der Nähe der unteren Grenzlinie des Kanals glattstellen. Wenn der gleitende Durchschnitt im Wesentlichen flach ist, dann sollten Sie an der unteren Kanalbegrenzung eine Long-Position und an der oberen Kanalbegrenzung eine Short-Position einnehmen. Gewinne realisieren Sie jeweils, wenn die Kurse zu ihrem gleitenden Durchschnitt, zur Normalität zurückgekehrt sind. Für Daytrader interessant: Stellen Sie den gleitenden Durchschnitt so ein, dass er die gleiche Steigung wie die Notierungen im Stunden-Chart hat. Mit dem Koeffizienten Stellen Sie den Abstand der Grenzlinien ein. Vielleicht hilft die Zuschaltung der 23,6%-Linien, wo die Seitwärtstrends anstoßen. Stellen Sie die Auflösung auf „1 Stunde“. Wenn Sie mit diesen Einstellungen in niedrigen Zeiteinheiten traden wollen, z.B. im 3 Minuten-Chart oder im 1 Minuten-Chart, dann haben Sie jetzt Zielmarken und Hinweise in welche Richtung die Notierungen möglicherweise laufen werden, wenn die Notierungen den gleitenden Durchschnitt oder eine der Grenzlinien erreicht haben. Der Text enthält Auszüge aus „Come into my Trading Room“ von Dr. Alexander Elder. Der Indikator besitzt zur engen Umfang der Notierungen und endgültigen Richtungsbestimmung einen zusätzlichen exponentiellen gleitenden Durchschnitt mit einstellbarer Periode, einstellbarer Verschiebung und einstellbarer Quelle. Der Chart zeigt wie sich Trendkanal und Fibonacc-Trading-Indikator ergänzen könne. Der Text enthält Auszüge aus „Come into my Trading Room“ von Dr . Alexander Elder.
Chỉ báo Pine Script®
của N18041972
2
Square Root Moving AverageAbstract This script computes moving averages which the weighting of the recent quarter takes up about a half weight. This script also provides their upper bands and lower bands. You can apply moving average or band strategies with this script. Introduction Moving average is a popular indicator which can eliminate market noise and observe trend. There are several moving average related strategies used by many traders. The first one is trade when the price is far from moving average. To measure if the price is far from moving average, traders may need a lower band and an upper band. Bollinger bands use standard derivation and Keltner channels use average true range. In up trend, moving average and lower band can be support. In ranging market, lower band can be support and upper band can be resistance. In down trend, moving average and upper band can be resistance. An another group of moving average strategy is comparing short term moving average and long term moving average. Moving average cross, Awesome oscillators and MACD belong to this group. The period and weightings of moving averages are also topics. Period, as known as length, means how many days are computed by moving averages. Weighting means how much weight the price of a day takes up in moving averages. For simple moving averages, the weightings of each day are equal. For most of non-simple moving averages, the weightings of more recent days are higher than the weightings of less recent days. Many trading courses say the concept of trading strategies is more important than the settings of moving averages. However, we can observe some characteristics of price movement to design the weightings of moving averages and make them more meaningful. In this research, we use the observation that when there are no significant events, when the time frame becomes 4 times, the average true range becomes about 2 times. For example, the average true range in 4-hour chart is about 2 times of the average true range in 1-hour chart; the average true range in 1-hour chart is about 2 times of the average true range in 15-minute chart. Therefore, the goal of design is making the weighting of the most recent quarter is close to the weighting of the rest recent three quarters. For example, for the 24-day moving average, the weighting of the most recent 6 days is close to the weighting of the rest 18 days. Computing the weighting The formula of moving average is sum ( price of day n * weighting of day n ) / sum ( weighting of day n ) Day 1 is the most recent day and day k+1 is the day before day k. For more convenient explanation, we don't expect sum ( weighting of day n ) is equal to 1. To make the weighting of the most recent quarter is close to the weighting of the rest recent three quarters, we have sum ( weighting of day 4n ) = 2 * sum ( weighting of day n ) If when weighting of day 1 is 1, we have sum ( weighting of day n ) = sqrt ( n ) weighting of day n = sqrt ( n ) - sqrt ( n-1 ) weighting of day 2 ≒ 1.414 - 1.000 = 0.414 weighting of day 3 ≒ 1.732 - 1.414 = 0.318 weighting of day 4 ≒ 2.000 - 1.732 = 0.268 If we follow this formula, the weighting of day 1 is too strong and the moving average may be not stable. To reduce the weighting of day 1 and keep the spirit of the formula, we can add a parameter (we call it as x_1w2b). The formula becomes weighting of day n = sqrt ( n+x_1w2b ) - sqrt ( n-1+x_1w2b ) if x_1w2b is 0.25, then we have weighting of day 1 = sqrt(1.25) - sqrt(0.25) ≒ 1.1 - 0.5 = 0.6 weighting of day 2 = sqrt(2.25) - sqrt(1.25) ≒ 1.5 - 1.1 = 0.4 weighting of day 3 = sqrt(3.25) - sqrt(2.25) ≒ 1.8 - 1.5 = 0.3 weighting of day 4 = sqrt(4.25) - sqrt(3.25) ≒ 2.06 - 1.8 = 0.26 weighting of day 5 = sqrt(5.25) - sqrt(4.25) ≒ 2.3 - 2.06 = 0.24 weighting of day 6 = sqrt(6.25) - sqrt(5.25) ≒ 2.5 - 2.3 = 0.2 weighting of day 7 = sqrt(7.25) - sqrt(6.25) ≒ 2.7 - 2.5 = 0.2 What you see and can adjust in this script This script plots three moving averages described above. The short term one is default magenta, 6 days and 1 atr. The middle term one is default yellow, 24 days and 2 atr. The long term one is default green, 96 days and 4 atr. I arrange the short term 6 days to make it close to sma(5). The other twos are arranged according to 4x length and 2x atr. There are 9 curves plotted by this script. I made the lower bands and the upper bands less clear than moving averages so it is less possible misrecognizing lower or upper bands as moving averages. x_src : how to compute the reference price of a day, using 1 to 4 of open, high, low and close. len : how many days are computed by moving averages atr : how many days are computed by average true range multi : the distance from the moving average to the lower band and the distance from the moving average to the lower band are equal to multi * average true range. x_1w2b : adjust this number to avoid the weighting of day 1 from being too strong. Conclusion There are moving averages which the weighting of the most recent quarter is close to the weighting of the rest recent three quarters. We can apply strategies based on moving averages. Like most of indicators, oversold does not always means it is an opportunity to buy. If the short term lower band is close to the middle term moving average or the middle term lower band is close to the long term moving average, it may be potential support value. References Computing FIR Filters Using Arrays How to trade with moving averages : the eight trading signals concluded by Granville How to trade with Bollinger bands How to trade with double Bollinger bands
Chỉ báo Pine Script®
của clocks156t174
6
Tilson T3 and MavilimW Triple Combined StrategyInspired by truly greatful Kivanç Ozbilgic (www.tradingview.com). The strategy tries to combined three different moving average strategies into one. Strategies covered are: 1. Tillson T3 Moving Average Strategy Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well. However, it bears the disadvantage of overshooting the price as it attempts to realign itself to current market conditions. It incorporates a smoothing technique which allows it to plot curves more gradual than ordinary moving averages and with a smaller lag. Its smoothness is derived from the fact that it is a weighted sum of a single EMA, double EMA, triple EMA and so on. When a trend is formed, the price action will stay above or below the trend during most of its progression and will hardly be touched by any swings. Thus, a confirmed penetration of the T3 MA and the lack of a following reversal often indicates the end of a trend. Here is what the calculation looks like: T3 = c1*e6 + c2*e5 + c3*e4 + c4*e3, where: – e1 = EMA (Close, Period) – e2 = EMA (e1, Period) – e3 = EMA (e2, Period) – e4 = EMA (e3, Period) – e5 = EMA (e4, Period) – e6 = EMA (e5, Period) – a is the volume factor, default value is 0.7 but 0.618 can also be used – 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 T3 MovingThe T3 Moving Average generally produces entry signals similar to other moving averages and thus is traded largely in the same manner. Strategy for Tillson T3 is if the close crossovers T3 line and for at least five bars the close was under the T3 2. Tillson T3 Fibonacci Cross Kivanc Ozbilgic added a second T3 line with a volume factor of 0.618 (Fibonacci Ratio) and length of 3 (fibonacci number) which can be added by selecting the T3 Fibonacci Strategy input box. Strategy for Tillson T3 Fibo is when the Fibo Line crossover the T3 it gives long signal vice versa. 3. MavilimW MavilimW is originally a support and resistance indicator based on fibonacci injected weighted moving averages. Strategy for MavilimW is is if the close crossovers T3 line and for at least five bars the close was under the T3 Hope you enjoy
Chiến lược Pine Script®
của bartua
4
Bitcoin Block Height (Total Blocks)Bitcoin Block Height by RagingRocketBull 2020 Version 1.0 Differences between versions are listed below: ver 1.0: compare QUANDL Difficulty vs Blockchain Difficulty sources, get total error estimate ver 2.0: compare QUANDL Hash Rate vs Blockchain Hash Rate sources, get total error estimate ver 3.0: Total Blocks estimate using different methods -------------------------------- This indicator estimates Bitcoin Block Height (Total Blocks) using Difficulty and Hash Rate in the most accurate way possible, since QUANDL doesn't provide a direct source for Bitcoin Block Height (neither QUANDL:BCHAIN, nor QUANDL:BITCOINWATCH/MINING). Bitcoin Block Height can be used in other calculations, for instance, to estimate the next date of Bitcoin Halving. Using this indicator I demonstrate: - that QUANDL data is not accurate and differ from Blockchain source data (industry standard), but still can be used in calculations - how to plot a series of data points from an external csv source and compare it with another source - how to accurately estimate Bitcoin Block Height Features: - compare QUANDL Difficulty source (EOD, D1) with external Blockchain Difficulty csv source (EOD, D1, embedded) - show/hide Quandl/Blockchain Difficulty curves - show/hide Blockchain Difficulty candles - show/hide differences (aqua vertical lines) - show/hide time gaps (green vertical lines) - count source differences within data range only or for the whole history - multiply both sources by alpha to match before comparing - floor/round both matched sources when comparing - Blockchain Difficulty offset to align sequences, bars > 0 - count time gaps and missing bars (as result of time gaps) WARNING: - This indicator hits the max 1000 vars limit, adding more plots/vars/data points is not possible - Both QUANDL/Blockchain provide daily EOD data and must be plotted on a daily D1 chart otherwise results will be incorrect - current chart must not have any time gaps inside the range (time gaps outside the range don't affect the calculation). Time gaps check is provided. Otherwise hardcoded Blockchain series will be shifted forward on gaps and the whole sequence become truncated at the end => data comparison/total blocks estimate will be incorrect Examples of valid charts that can run this indicator: COINBASE:BTCUSD,D1 (has 8 time gaps, 34 missing bars outside the range), QUANDL:BCHAIN/DIFF,D1 (has no gaps) Usage: - Description of output plot values from left to right: - c_shifted - 4x blockchain plotcandles ohlc, green/black (default na) - diff - QUANDL Difficulty - c_shifted - Blockchain Difficulty with offset - QUANDL Difficulty multiplied by alpha and rounded - Blockchain Difficulty multiplied by alpha and rounded - is_different, bool - cur bar's source values are different (1) or not (0) - count, number of differences - bars, total number of bars/data points in the range - QUANDL daily blocks - Blockchain daily blocks - QUANDL total blocks - Blockchain total blocks - total_error - difference between total_blocks estimated using both sources as of cur bar, blocks - number_of_gaps - number of time gaps on a chart - missing_bars - number of missing bars as result of time gaps on a chart - Color coding: - Blue - QUANDL data - Red - Blockchain data - Black - Is Different - Aqua - number of differences - Green - number of time gaps - by default the indicator will show lots of vertical aqua lines, 138 differences, 928 bars, total error -370 blocks - to compare the best match of the 2 sources shift Blockchain source 1 bar into the future by setting Blockchain Difficulty offset = 1, leave alpha = 0.01 => this results in no vertical aqua lines, 0 differences, total_error = 0 blocks if you move the mouse inside the range some bars will show total_error = 1 blocks => total_error <= 1 blocks - now uncheck Round Difficulty Values flag => some filled aqua areas, 218 differences. - now set alpha = 1 (use raw source values) instead of 0.01 => lots of filled aqua areas, 871 differences. although there are many differences this still doesn't affect the total_blocks estimate provided Difficulty offset = 1 Methodology: To estimate Bitcoin Block Height we need 3 steps, each step has its own version: - Step 1: Compare QUANDL Difficulty vs Blockchain Difficulty sources and estimate error based on differences - Step 2: Compare QUANDL Hash Rate vs Blockchain Hash Rate sources and estimate error based on differences - Step 3: Estimate Bitcoin Block Height (Total Blocks) using different methods in the most accurate way possible QUANDL doesn't provide block time data, but we can calculate it using the Hash Rate approximation formula: estimated Hash rate/sec H = 2^32 * D / T, where D - Difficulty, T - block time, sec 1. block time (T) can be derived from the formula, since we already know Difficulty (D) and Hash Rate (H) from QUANDL 2. using block time (T) we can estimate daily blocks as daily time / block time 3. block height (total blocks) = cumulative sum of daily blocks of all bars on the chart (that's why having no gaps is important) Notes: - This code uses Pinescript v3 compatibility framework - hash rate is in THash/s, although QUANDL falsely states in description GHash/s! THash = 1000 GHash - you can't read files, can only embed/hardcode raw data in script - both QUANDL and Blockchain sources have no gaps - QUANDL and Blockchain series are different in the following ways: - all QUANDL data is already shifted 1 bar into the future, i.e. prev day's value is shown as cur day's value => Blockchain data must be shifted 1 bar forward to match - all QUANDL diff data > 1 bn (10^12) are truncated and have last 1-2 digits as zeros, unlike Blockchain data => must multiply both values by 0.01 and floor/round the results - QUANDL sometimes rounds, other times truncates those 1-2 last zero digits to get the 3rd last digit => must use both floor/round - you can only shift sequences forward into the future (right), not back into the past (left) using positive offset => only Blockchain source can be shifted - since total_blocks is already a cumulative sum of all prev values on each bar, total_error must be simple delta, can't be also int(cum()) or incremental - all Blockchain values and total_error are na outside the range - move you mouse cursor on the last bar/inside the range to see them TLDR, ver 1.0 Conclusion: QUANDL/Blockchain Difficulty source differences don't affect total blocks estimate, total error <= 1 block with avg 150 blocks/day is negligible Both QUANDL/Blockchain Difficulty sources are equally valid and can be used in calculations. QUANDL is a relatively good stand in for Blockchain industry standard data. Links: QUANDL difficulty source: www.quandl.com QUANDL hash rate source: www.quandl.com Blockchain difficulty source (export data as csv): www.blockchain.com
Chỉ báo Pine Script®
của RagingRocketBull
3
Bitcoin Logarithmic Growth Curves for intraday usersI wish to thank @Quantadelic who created this great indicator and leaving it open for others to improve. I have made changes to make it user-friendly for the intraday traders. The changes made have been; 1. Compartmentalized each area of the major Fibonacci level; 2. Added minor Fibonacci levels; 3. Color-coded the support and resistance levels, for better viewing; 4. Zoned each area of the major Fibonacci level; and 5. Created a time-frame display period for quicker loading of the indicator. I have removed a few things to allow the indicator to run quicker; 1. Future projections; and 2. The major higher levels of the Fibonacci, which may be useful when Bitcoin reaches 100k. Enjoy
Chỉ báo Pine Script®
của aaahopper
3
Hull SuiteHull is its extremely responsive and smooth moving average created by Alan Hull in 2005. Minimal lag and smooth curves made HMA extremely popular TA tool. alanhull.com Script was made to regroup multiple hull variants in one indicator,maintaining flexible customization and intuitive visualization Option to chose between 3 Hull variations Option to chose between 2 visualization modes ( Bands or single line) Option to Paint hull and/or candlesticks according to hulls trend Shortcut for personalizing Line/band thickness,instead of changing every object manually ,there is global option in inputs HMA THMA ( 3HMA) EHMA HMA: Alan Hull EHMA: Slower than hull by default. Raudys, Aistis & Lenčiauskas, Vaidotas & Malčius, Edmundas. (2013). Moving Averages for Financial Data Smoothing ( 403. 34-45. 10.1007/978-3-642-41947-8_4.) Vilnius University, Faculty of Mathematics and Informatics 3HMA (THMA) : Documentation on link below alexgrover
Chỉ báo Pine Script®
của InSilico
144
Gann High LowGann High Low is a moving average based trend indicator consisting of two different simple moving averages. The Gann High Low Activator Indicator was described by Robert Krausz in a 1998 issue of Stocks & Commodities Magazine. It is a simple moving average SMA of the previous n period's highs or lows. The indicator tracks both curves (of the highs and the lows). The close of the bar defines which of the two gets plotted. This version is showing the channel that needs to be broken if the trend is going to be changed, and it allows you to chose from the 4 basic averages type for calculation (by definition, Gann High Low Activator uses only simple moving average, but some other averages can give you results that are probably more acceptable for trading in some conditions). Increasing HPeriod and decreasing LPeriod better for short trades, vice versa for long positions.
Chỉ báo Pine Script®
của KivancOzbilgic
25
Tillson T3 Moving Average MTFMULTIPLE TIME FRAME version of Tillson T3 Moving Average Indicator Developed by Tim Tillson, the T3 Moving Average is considered superior -1.60% to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well. However, it bears the disadvantage of overshooting the price as it attempts to realign itself to current market conditions. It incorporates a smoothing technique which allows it to plot curves more gradual than ordinary moving averages and with a smaller lag. Its smoothness is derived from the fact that it is a weighted sum of a single EMA , double EMA , triple EMA and so on. When a trend is formed, the price action will stay above or below the trend during most of its progression and will hardly be touched by any swings. Thus, a confirmed penetration of the T3 MA and the lack of a following reversal often indicates the end of a trend. The T3 Moving Average generally produces entry signals similar to other moving averages and thus is traded largely in the same manner. Here are several assumptions: If the price action is above the T3 Moving Average and the indicator is headed upward, then we have a bullish trend and should only enter long trades (advisable for novice/intermediate traders). If the price is below the T3 Moving Average and it is edging lower, then we have a bearish trend and should limit entries to short. Below you can see it visualized in a trading platform. Although the T3 MA is considered as one of the best swing following indicators that can be used on all time frames and in any market, it is still not advisable for novice/intermediate traders to increase their risk level and enter the market during trading ranges (especially tight ones). Thus, for the purposes of this article we will limit our entry signals only to such in trending conditions. Once the market is displaying trending behavior, we can place with-trend entry orders as soon as the price pulls back to the moving average (undershooting or overshooting it will also work). As we know, moving averages are strong resistance/support levels, thus the price is more likely to rebound from them and resume its with-trend direction instead of penetrating it and reversing the trend. And so, in a bull trend, if the market pulls back to the moving average, we can fairly safely assume that it will bounce off the T3 MA and resume upward momentum, thus we can go long. The same logic is in force during a bearish trend . And last but not least, the T3 Moving Average can be used to generate entry signals upon crossing with another T3 MA with a longer trackback period (just like any other moving average crossover). When the fast T3 crosses the slower one from below and edges higher, this is called a Golden Cross and produces a bullish entry signal. When the faster T3 crosses the slower one from above and declines further, the scenario is called a Death Cross and signifies bearish conditions. I Personally added a second T3 line with a volume factor of 0.618 (Fibonacci Ratio) and length of 3 (fibonacci number) which can be added by selecting the box in the input section. traders can combine the two lines to have Buy/Sell signals from the crosses. Developed by Tim Tillson
Chỉ báo Pine Script®
của KivancOzbilgic
3
Tillson T3 Moving Average by KIVANÇ fr3762Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well. However, it bears the disadvantage of overshooting the price as it attempts to realign itself to current market conditions. It incorporates a smoothing technique which allows it to plot curves more gradual than ordinary moving averages and with a smaller lag. Its smoothness is derived from the fact that it is a weighted sum of a single EMA , double EMA , triple EMA and so on. When a trend is formed, the price action will stay above or below the trend during most of its progression and will hardly be touched by any swings. Thus, a confirmed penetration of the T3 MA and the lack of a following reversal often indicates the end of a trend. The T3 Moving Average generally produces entry signals similar to other moving averages and thus is traded largely in the same manner. Here are several assumptions: If the price action is above the T3 Moving Average and the indicator is headed upward, then we have a bullish trend and should only enter long trades (advisable for novice/intermediate traders). If the price is below the T3 Moving Average and it is edging lower, then we have a bearish trend and should limit entries to short. Below you can see it visualized in a trading platform. Although the T3 MA is considered as one of the best swing following indicators that can be used on all time frames and in any market, it is still not advisable for novice/intermediate traders to increase their risk level and enter the market during trading ranges (especially tight ones). Thus, for the purposes of this article we will limit our entry signals only to such in trending conditions. Once the market is displaying trending behavior, we can place with-trend entry orders as soon as the price pulls back to the moving average (undershooting or overshooting it will also work). As we know, moving averages are strong resistance/support levels, thus the price is more likely to rebound from them and resume its with-trend direction instead of penetrating it and reversing the trend. And so, in a bull trend, if the market pulls back to the moving average, we can fairly safely assume that it will bounce off the T3 MA and resume upward momentum, thus we can go long. The same logic is in force during a bearish trend . And last but not least, the T3 Moving Average can be used to generate entry signals upon crossing with another T3 MA with a longer trackback period (just like any other moving average crossover). When the fast T3 crosses the slower one from below and edges higher, this is called a Golden Cross and produces a bullish entry signal. When the faster T3 crosses the slower one from above and declines further, the scenario is called a Death Cross and signifies bearish conditions. I Personally added a second T3 line with a volume factor of 0.618 (Fibonacci Ratio) and length of 3 (fibonacci number) which can be added by selecting the box in the input section. traders can combine the two lines to have Buy/Sell signals from the crosses. Developed by Tim Tillson
Chỉ báo Pine Script®
của KivancOzbilgic
50
Topfinder Bottomfinder pivot matcher Midas- jayyMidas Technical Analysis: A VWAP Approach to Trading and Investing in Today’s Markets by Andrew Coles, David G. Hawkins Copyright © 2011 by Andrew Coles and David G. Hawkins. Appendix C: TradeStation Code for the MIDAS Topfinder/Bottomfinder Curves ported to tradingview This code is used to assist in adjusting D volume to intersect pivot candle at a pivot candle when using this script: Top Bottom Finder Public version- Jayy found here: The "n" number entered into the TB-F script is the topfinder/bottomfinder starting point or anchor Be sure to enter the correct number in the "Topfinder bottomfinder initiation/anchor candle: 1 for CANDLE low - top finder, 2 for CANDLE high - bottom finder, 3 for CANDLE MIDPOINT (hl2) dialogue box The location of the match point of the pivot candle is extremely important in the: "Match to PIVOT CANDLE: use 1 for CANDLE low, 2 for midtail of the candle below the BODY, 3 for candle BODY low, 4 for CANDLE HIGH, 5 for midpoint of candletail above body, 6 for candle BODY high". Do not confuse body high with candle high. The body low will either be the candle open or close. The body high will be either the open or close. If you expect a trend up the pivot candle is likely the low of the pivot candle ie 1 (2 and 3 are alternatives). In a trend down the high of the pivot candle is often selected ie 4 (5 or 6 are alternatives) If the candle body is aqua increase D volume if it is orange reduce D volume. Adjust iteratively until the candle body turns yellow. That will mean that the TB-F line passes through the pivot candle at the selected point. Jayy
Chỉ báo Pine Script®
của jayy
2
Vix FIX / StochRSI StrategyThis strategy is based off of Chris Moody's Vix Fix Indicator . I simply used his indicator and added some rules around it, specifically on entry and exits. Rules : Enter upon a filtered or aggressive entry If there are multiple entry signals, allow pyramiding Exit when there is Stochastic RSI crossover above 80 This works great on a number of stocks. I am keeping a list of stocks with decent Profit Factors and clean equity curves here . Possible ways to use this: Modify this script and setup alerts around the various entries Use as is with different stocks or currency pairs Modify entry / exit points to make it more profitable for even more symbols and currencies
Chiến lược Pine Script®
của timj
42
UCS_Squeeze_Timing-V1There is an important information the Squeeze indicator is missing, which is the Pre Squeeze entry. While the Bollinger band begins to curves out of the KC, The breakout usually happens. There are many instances that the Squeeze indicator will fire, after the Major move, I cant blame the indicator, thats the nature (lagging) of all indicators, and we have to live with it. Therefore pre-squeeze-fire Entry can be critical in timing your entry. Timing it too early could result in stoploss if it turns against you, ( or serious burn on options premium), because we never know when the squeeze will fire with the TTM squeeze, But now We know. Its a little timing tool. Managing position is critical when playing options. I will code the timing signal when I get some time. Updated Versions -
Chỉ báo Pine Script®
của UDAY_C_Santhakumar
8
Third eye • StrategyThird eye • Strategy – User Guide 1. Idea & Concept Third eye • Strategy combines three things into one system: Ichimoku Cloud – to define market regime and support/resistance. Moving Average (trend filter) – to trade only in the dominant direction. CCI (Commodity Channel Index) – to generate precise entry signals on momentum breakouts. The script is a strategy, not an indicator: it can backtest entries, exits, SL, TP and BreakEven logic automatically. 2. Indicators Used 2.1 Ichimoku Standard Ichimoku settings (by default 9/26/52/26) are used: Conversion Line (Tenkan-sen) Base Line (Kijun-sen) Leading Span A & B (Kumo Cloud) Lagging Span is calculated but hidden from the chart (for visual simplicity). From the cloud we derive: kumoTop – top of the cloud under current price. kumoBottom – bottom of the cloud under current price. Flags: is_above_kumo – price above the cloud. is_below_kumo – price below the cloud. is_in_kumo – price inside the cloud. These conditions are used as trend / regime filters and for stop-loss & trailing stops. 2.2 Moving Average You can optionally display and use a trend MA: Types: SMA, EMA, DEMA, WMA Length: configurable (default 200) Source: default close Filter idea: If MA Direction Filter is ON: When Close > MA → strategy allows only Long signals. When Close < MA → strategy allows only Short signals. The MA is plotted on the chart (if enabled). 2.3 CCI & Panel The CCI (Commodity Channel Index) is used for entry timing: CCI length and source are configurable (default length 20, source hlc3). Two thresholds: CCI Upper Threshold (Long) – default +100 CCI Lower Threshold (Short) – default –100 Signals: Long signal: CCI crosses up through the upper threshold cci_val < upper_threshold and cci_val > upper_threshold Short signal: CCI crosses down through the lower threshold cci_val > lower_threshold and cci_val < lower_threshold There is a panel (table) in the bottom-right corner: Shows current CCI value. Shows filter status as colored dots: Green = filter enabled and passed. Red = filter enabled and blocking trades. Gray = filter is disabled. Filters shown in the panel: Ichimoku Cloud filter (Long/Short) Ichimoku Lines filter (Conversion/Base vs Cloud) MA Direction filter 3. Filters & Trade Direction All filters can be turned ON/OFF independently. 3.1 Ichimoku Cloud Filter Purpose: trade only when price is clearly above or below the Kumo. Long Cloud Filter (Use Ichimoku Cloud Filter) – when enabled: Long trades only if close > cloud top. Short Cloud Filter – when enabled: Short trades only if close < cloud bottom. If the cloud filter is disabled, this condition is ignored. 3.2 Ichimoku Lines Above/Below Cloud Purpose: stronger trend confirmation: Ichimoku lines should also be on the “correct” side of the cloud. Long Lines Filter: Long allowed only if Conversion Line and Base Line are both above the cloud. Short Lines Filter: Short allowed only if both lines are below the cloud. If this filter is OFF, the conditions are not checked. 3.3 MA Direction Filter As described above: When ON: Close > MA → only Longs. Close < MA → only Shorts. 4. Anti-Re-Entry Logic (Cloud Touch Reset) The strategy uses internal flags to avoid continuous re-entries in the same direction without a reset. Two flags: allowLong allowShort After a Long entry, allowLong is set to false, allowShort to true. After a Short entry, allowShort is set to false, allowLong to true. Flags are reset when price touches the Kumo: If Low goes into the cloud → allowLong = true If High goes into the cloud → allowShort = true If Close is inside the cloud → both allowLong and allowShort are set to true There is a key option: Wait Position Close Before Flag Reset If ON: cloud touch will reset flags only when there is no open position. If OFF: flags can be reset even while a trade is open. This gives a kind of regime-based re-entry control: after a trend leg, you wait for a “cloud interaction” to allow new signals. 5. Risk Management All risk management is handled inside the strategy. 5.1 Position Sizing Order Size % of Equity – default 10% The strategy calculates: position_value = equity * (Order Size % / 100) position_qty = position_value / close So position size automatically adapts to your current equity. 5.2 Take Profit Modes You can choose one of two TP modes: Percent Fibonacci 5.2.1 Percent Mode Single Take Profit at X% from entry (default 2%). For Long: TP = entry_price * (1 + tp_pct / 100) For Short: TP = entry_price * (1 - tp_pct / 100) One strategy.exit per side is used: "Long TP/SL" and "Short TP/SL". 5.2.2 Fibonacci Mode (2 partial TPs) In this mode, TP levels are based on a virtual Fib-style extension between entry and stop-loss. Inputs: Fib TP1 Level (default 1.618) Fib TP2 Level (default 2.5) TP1 Share % (Fib) (default 50%) TP2 share is automatically 100% - TP1 share. Process for Long: Compute a reference Stop (see SL section below) → sl_for_fib. Compute distance: dist = entry_price - sl_for_fib. TP levels: TP1 = entry_price + dist * (Fib TP1 Level - 1) TP2 = entry_price + dist * (Fib TP2 Level - 1) For Short, the logic is mirrored. Two exits are used: TP1 – closes TP1 share % of position. TP2 – closes remaining TP2 share %. Same stop is used for both partial exits. 5.3 Stop-Loss Modes You can choose one of three Stop Loss modes: Stable – fixed % from entry. Ichimoku – fixed level derived from the Kumo. Ichimoku Trailing – dynamic SL following the cloud. 5.3.1 Stable SL For Long: SL = entry_price * (1 - Stable SL % / 100) For Short: SL = entry_price * (1 + Stable SL % / 100) Used both for Percent TP mode and as reference for Fib TP if Kumo is not available. 5.3.2 Ichimoku SL (fixed, non-trailing) At the time of a new trade: For Long: Base SL = cloud bottom minus small offset (%) For Short: Base SL = cloud top plus small offset (%) The offset is configurable: Ichimoku SL Offset %. Once computed, that SL level is fixed for this trade. 5.3.3 Ichimoku Trailing SL Similar to Ichimoku SL, but recomputed each bar: For Long: SL = cloud bottom – offset For Short: SL = cloud top + offset A red trailing SL line is drawn on the chart to visualize current stop level. This trailing SL is also used as reference for BreakEven and for Fib TP distance. 6. BreakEven Logic (with BE Lines) BreakEven is optional and supports two modes: Percent Fibonacci Inputs: Percent mode: BE Trigger % (from entry) – move SL to BE when price goes this % in profit. BE Offset % from entry – SL will be set to entry ± this offset. Fibonacci mode: BE Fib Level – Fib level at which BE will be activated (default 1.618, same style as TP). BE Offset % from entry – how far from entry to place BE stop. The logic: Before BE is triggered, SL follows its normal mode (Stable/Ichimoku/Ichimoku Trailing). When BE triggers: For Long: New SL = max(current SL, BE SL). For Short: New SL = min(current SL, BE SL). This means BE will never loosen the stop – only tighten it. When BE is activated, the strategy draws a violet horizontal line at the BreakEven level (once per trade). BE state is cleared when the position is closed or when a new position is opened. 7. Entry & Exit Logic (Summary) 7.1 Long Entry Conditions for a Long: CCI signal: CCI crosses up through the upper threshold. Ichimoku Cloud Filter (optional): If enabled → price must be above the Kumo. Ichimoku Lines Filter (optional): If enabled → Conversion Line and Base Line must be above the Kumo. MA Direction Filter (optional): If enabled → Close must be above the chosen MA. Anti-re-entry flag: allowLong must be true (cloud-based reset). Position check: Long entries are allowed when current position size ≤ 0 (so it can also reverse from short to long). If all these conditions are true, the strategy sends: strategy.entry("Long", strategy.long, qty = calculated_qty) After entry: allowLong = false allowShort = true 7.2 Short Entry Same structure, mirrored: CCI signal: CCI crosses down through the lower threshold. Cloud filter: price must be below cloud (if enabled). Lines filter: conversion & base must be below cloud (if enabled). MA filter: Close must be below MA (if enabled). allowShort must be true. Position check: position size ≥ 0 (allows reversal from long to short). Then: strategy.entry("Short", strategy.short, qty = calculated_qty) Flags update: allowShort = false allowLong = true 7.3 Exits While in a position: The strategy continuously recalculates SL (depending on chosen mode) and, in Percent mode, TP. In Fib mode, fixed TP levels are computed at entry. BreakEven may raise/tighten the SL if its conditions are met. Exits are executed via strategy.exit: Percent mode: one TP+SL exit per side. Fib mode: two partial exits (TP1 and TP2) sharing the same SL. At position open, the script also draws visual lines: White line — entry price. Green line(s) — TP level(s). Red line — SL (if not using Ichimoku Trailing; with trailing, the red line is updated dynamically). Maximum of 30 lines are kept to avoid clutter. 8. How to Use the Strategy Choose market & timeframe Works well on trending instruments. Try crypto, FX or indices on H1–H4, or intraday if you prefer more trades. Adjust Ichimoku settings Keep defaults (9/26/52/26) or adapt to your timeframe. Configure Moving Average Typical: EMA 200 as a trend filter. Turn MA Direction Filter ON if you want to trade only with the main trend. Set CCI thresholds Default ±100 is classic. Lower thresholds → more signals, higher noise. Higher thresholds → fewer but stronger signals. Enable/disable filters Turn on Ichimoku Cloud and Ichimoku Lines if you want only “clean” trend trades. Use Wait Position Close Before Flag Reset to control how often re-entries are allowed. Choose TP & SL mode Percent mode is simpler and easier to understand. Fibonacci mode is more advanced: it aligns TP levels with the distance to stop, giving asymmetric RR setups (two partial TPs). Choose Stable SL for fixed-risk trades, or Ichimoku / Ichimoku Trailing to tie stops to the cloud structure. Set BreakEven Enable BE if you want to lock in risk-free trades after a certain move. Percent mode is straightforward; Fib mode keeps BreakEven in harmony with your Fib TP setup. Run Backtest & Optimize Press “Add to chart” → go to Strategy Tester. Adjust parameters to your market and timeframe. Look at equity curve, PF, drawdown, average trade, etc. Live / Paper Trading After you’re satisfied with backtest results, use the strategy to generate signals. You can mirror entries/exits manually or connect them to alerts (if you build an alert-based execution layer).
Chiến lược Pine Script®
của RezzoRedPriest
Grok/Claude MoneyLine Fusion * Grok/Claude X SeriesMoneyLine Fusion Indicator This is a technical analysis indicator designed to help traders identify potential buy and sell opportunities in the market. It combines several well-known trading concepts into one unified tool, displaying visual bands on the chart and generating signals when multiple conditions align. The Core Concept: The "Money Line" At the heart of this indicator is something called the Money Line, which is essentially a smoothed trend line calculated using linear regression over the last 16 bars (by default). Think of it as a "best fit" line through recent prices that shows you the general direction the market is heading. The indicator colors this line green when the trend is rising, red when it's falling, and yellow when it's essentially flat or undecided. The Dynamic Bands Surrounding the Money Line are upper and lower bands that expand and contract based on market volatility. These bands use the ATR (Average True Range) to measure how much the price typically moves. Here's where it gets clever: the bands also factor in the ADX indicator (which measures trend strength). When the market is trending strongly, the bands widen more aggressively to account for bigger price swings. When the trend is weak, they stay tighter. This adaptive behavior helps the indicator adjust to different market conditions automatically. The area between the bands is shaded in the trend color (green, red, or yellow) to give you a quick visual of the current market bias. How Buy and Sell Signals Are Generated The indicator doesn't just look at one thing — it requires multiple conditions to align before triggering a signal. This is designed to filter out false signals and only alert you when several factors agree. Signal TypeRequired ConditionsBUYFisher Transform is below -2.0 (oversold), Aroon Up is low (below 20), Aroon Down is high (above 80), and optionally a positive TA ScoreSELLFisher Transform is above +2.0 (overbought), Aroon Up is high (above 80), Aroon Down is low (below 20), and optionally a negative TA Score Fisher Transform is a mathematical technique that converts price data into a bell curve distribution, making extreme readings (overbought/oversold) easier to spot. Aroon measures how long it's been since the highest high or lowest low. When Aroon Down is high and Aroon Up is low, it suggests recent price action has been dominated by lows — a potential reversal setup for a buy. The indicator also prevents signal spam by requiring at least 5 bars between signals of the same type. The TA Scoring System Behind the scenes, the indicator calculates a composite score based on four different technical indicators: MACD — Momentum and trend direction (scores -2 to +2) DMI — Directional movement comparing buyers vs sellers (scores -2 to +2) MFI — Money Flow Index, similar to RSI but incorporates volume (scores -2 to +2) RSI — Classic overbought/oversold measure (scores -1 to +1) These scores are added together, and the result is displayed in the info panel with labels like "very bullish," "slightly bearish," or "neutral." You can optionally require a minimum TA score before signals trigger, adding another layer of confirmation. Visual Display Elements The indicator offers several optional display features: Shaded bands between upper and lower lines Buy/Sell labels directly on the chart showing the entry price Bright blue candle highlighting when a signal fires Info panel in the corner showing the Money Line value, volatility percentile, RSI, and TA score Score dots at the bottom of the chart (green for bullish, red for bearish, yellow for neutral) Debug table for troubleshooting that shows real-time values of Fisher, Aroon, and signal conditions In Summary This indicator is essentially a multi-factor confirmation system. Rather than relying on a single indicator that might give many false signals, it waits until the trend direction (Money Line), momentum extremes (Fisher Transform), price cycle position (Aroon), and overall technical picture (TA Score) all point in the same direction. The adaptive bands help visualize where price "should" be trading given current volatility and trend strength. It's designed for traders who prefer fewer but higher-conviction signals.
Chỉ báo Pine Script®
của ralis24
UM Nadaraya-Watson OscillatorDescription This is a different take on the Nadaraya-Watson Estimator from both Jdhorty and LuxAlgo. Both great scripts, I encourage everyone to check them out. Think of this script as a measure of trend direction, direction change, and trend acceleration or deceleration. It is not a Moving Average, but you could think of it as loosely as an intelligent adaptive regression curve with the focus on trend direction. The Gaussian calculations prefer and add more weight to the most recent bars. The end result is the oscillator is more responsive with less lag and less prone to pure price noise. How it Works The indicator was added to the chart twice; once with an MA, once without. The oscillator indicates trend change by crossing up through the zero line or down through the zero line. Once the indicator turns positive, we are in a positive trend until it crosses below zero and then the trend turns negative. I implemented a Moving Average overlay for additional signal determination; if the configured MA (EMA, SMA, WMA, or Nadaraya-Watson Estimator) trends higher, it is green. When trending down, it is red. The indicator also changes the color of the price bars; when the indicator below zero and red, the price bars are red. When the indicator is above zero and green, the price bars are green. I marked up the chart and indicator to identify LONG, SHORT, and divergences between price and oscillator. Default Settings The default settings are 16 for Bandwidth and a WMA with 110. This is shown in the chart example. There directional arrows, but they are off by default. The Price bars are colored green or red to match the oscillator and the bar coloring is on by default. All settings are user-configurable including bandwidth, MA type, MA length, bar coloring, and arrows. Suggested Settings and uses I personally like the 30 min chart with a bandwidth of 16 and a WMA of 110. The bandwidth 8 and 8 period EMA or WMA also work well on 6 hour and daily charts. Add this to your chart arsenal and use your favorite indicators for confirmation. This indicator works well on the 30 minute chart for inverse ETFs as well (SQQQ, SOXS, TZA). Also, the oscillator is good for identifying divergences between price and and indicator. (see chart for illustration) Experiment with settings and adapt them to your trading style. Alerts If you right click the indicator, and select add alert, I have configured 4 standard alerts: A bullish cross above zero, A bearish cross below zero, An MA bullish turned up to trend higher, (green), and an MA bearish turned down to trend lower (red).
Chỉ báo Pine Script®
của UnderwearMillionaire
2
Filter Trend1. Indicator Name Premium EMA Ribbon Filter (Pro Version) (Advanced Trend & Momentum Filtering System Based on EMA Ribbons) 2. One-Line Introduction A professional trend-analysis indicator that blends an advanced noise-filtering algorithm with an EMA ribbon system to extract only the pure bullish/bearish trend while smoothing out market noise. 3. Overall Description (7+ lines) The Premium EMA Ribbon Filter is more than just a set of EMAs. It analyzes the structure of a fast, medium, and slow EMA ribbon—along with the spacing and alignment between them—to determine whether the market is in a bullish trend, bearish trend, or a neutral/noise-heavy zone. The core of this indicator is its noise-reduction algorithm and trend-strength calculation system. Instead of relying on simple EMA cross signals, it evaluates how consistently the ribbon maintains bullish/bearish alignment over a specified period and highlights only strong trends with color coding, while weak or noisy areas are displayed in gray. This helps traders avoid confusing or false signals and clearly focus only on the “meaningful zones.” A Triple-Smoothing System is applied to create smoother, more refined ribbon movements, forming a stable “premium trend curve” that is less affected by short-term volatility. As a result, this indicator works effectively for scalping, swing trading, and long-term trend following—staying true to the principle of removing noise and highlighting only the core market flow. 4. Short Advantages (6 items) ① Complete Noise Filtering Using EMA ribbon comparison + tolerance logic, false reversals are largely eliminated, leaving only stable trend phases. ② Highly Readable Color System Bullish trends are mint, bearish trends are red, and neutral/noise zones are gray—instantly visualizing market conditions. ③ Trend Strength Visualization Not only trend direction but also trend strength is displayed via dynamic color transparency. ④ Smooth, Premium-Style Ribbon Design Triple-smoothing creates a refined, luxury-level smoothness in movement. ⑤ Works Across All Timeframes From 1-minute scalping to daily/weekly macro trend analysis. ⑥ Excellent Real-Trading Compatibility Works extremely well when combined with ATR, SuperTrend, and volume-based indicators. Indicator Manual (Required Section) 📌 Understanding the Core Concept The indicator uses three EMAs (e.g., 20/50/100) arranged as a ribbon to analyze the structural alignment of the trend. When the EMAs are cleanly aligned Top → Middle → Bottom, the market is in a bullish trend. When aligned Bottom → Middle → Top, the market is in a bearish trend. The indicator further evaluates the ribbon spread (gap) and the consistency of alignment to compute trend strength. Noisy market conditions are shaded gray to clearly indicate “uncertain/indecisive” zones. ⚙️ Settings Description Option Description Fast EMA Most sensitive EMA; detects early trend signals Mid EMA Stabilizes the primary trend direction Slow EMA Defines the broader, long-term trend flow Trend Lookback The period used to analyze trend strength Noise Tolerance (%) Higher values = stronger noise removal Smoothing Steps Controls how smooth the ribbon becomes 📈 Example Recognition A bullish continuation/entry scenario forms when: EMAs align in the order Fast → Mid → Slow (top side) Ribbon color shifts into mint (strong bullish trend) The ribbon begins to expand while price stays above the ribbon 📉 Example Recognition A bearish continuation/entry occurs when: EMAs align Fast → Mid → Slow (bottom side) Ribbon color remains red After contracting, the ribbon expands again during renewed downside strength 🧪 Recommended Usage Combine with volume-based indicators (OBV, Volume Profile) → enhanced strong-trend detection Use with SuperTrend or ATR Stop → clearer stop-loss placement Combine with RSI/Stoch → avoid counter-trend entries in overheated conditions Higher leverage traders should use higher tolerance settings 🔒 Cautions EMA ribbons are trend-following tools; signals may weaken in ranging/sideways markets. Never rely solely on this indicator—always confirm with volume, price patterns, or structure. Very low Lookback values may cause excessive re-entry signals. In high-volatility environments, ribbon spacing can contract/expand rapidly—use with caution.
Chỉ báo Pine Script®
của c9indicator
Debt-Cycle vs Bitcoin-CycleDebt-Cycle vs Bitcoin-Cycle Indicator The Debt-Cycle vs Bitcoin-Cycle indicator is a macro-economic analysis tool that compares traditional financial market cycles (debt/credit cycles) against Bitcoin market cycles. It uses Z-score normalization to track the relative positioning of global financial conditions versus cryptocurrency market sentiment, helping identify potential turning points and divergences between traditional finance and digital assets. Key Features Dual-Cycle Analysis: Simultaneously tracks traditional financial cycles and Bitcoin-specific cycles Z-Score Normalization: Standardizes diverse data sources for meaningful comparison Multi-Asset Coverage: Analyzes currencies, commodities, bonds, monetary aggregates, and on-chain metrics Divergence Detection: Identifies when Bitcoin cycles move independently from traditional finance 21-Day Timeframe: Optimized for Long-term cycle analysis What It Measures Finance-Cycle (White Line) Tracks traditional financial market health through: Currencies: USD strength (DXY), global currency weights (USDWCU, EURWCU) Commodities: Oil, gold, natural gas, agricultural products, and Bitcoin price Corporate Bonds: Investment-grade spreads, high-yield spreads, credit conditions Monetary Aggregates: M2 money supply, foreign exchange reserves (weighted by currency) Treasury Bonds: Yield curve (2Y/10Y, 3M/10Y), term premiums, long-term rates Bitcoin-Cycle (Orange Line) Tracks Bitcoin market positioning through: On-Chain Metrics: MVRV Ratio (Market Value to Realized Value) NUPL (Net Unrealized Profit/Loss) Profit/Loss Address Distribution Technical Indicators: Bitcoin price Z-score Moving average deviation Relative Strength: ETH/BTC ratio (altcoin strength indicator) Visual Elements White Line: Finance-Cycle indicator (positive = expansionary conditions, negative = contractionary) Orange Line: Bitcoin-Cycle indicator (positive = bullish positioning, negative = bearish) Zero Line: Neutral reference point Interpretation Cycle Alignment Both positive: Risk-on environment, favorable for crypto Both negative: Risk-off environment, caution warranted Divergence: Potential opportunities or warning signals Divergence Signals Finance positive, Bitcoin negative: Bitcoin may be undervalued relative to macro conditions Finance negative, Bitcoin positive: Bitcoin may be overextended or decoupling from traditional finance Important Limitations This indicator uses some technical and macro data but still has significant gaps: ⚠️ Limited monetary data - missing: Funding rates (repo, overnight markets) Comprehensive bond spread analysis Collateral velocity and quality metrics Central bank balance sheet details ⚠️ Basic economic coverage - missing: GDP growth rates Inflation expectations Employment data Manufacturing indices Consumer confidence ⚠️ Simplified on-chain analysis - missing: Exchange flow data Whale wallet movements Mining difficulty adjustments Hash rate trends Network fee dynamics ⚠️ No sentiment data - missing: Fear & Greed Index Options positioning Futures open interest Social media sentiment The indicator provides a high-level cycle comparison but should be combined with comprehensive fundamental analysis, detailed on-chain research, and proper risk management. Settings Offset: Adjust the horizontal positioning of the indicators (default: 0) Timeframe: Fixed at 21 days for optimal cycle detection Use Cases Macro-crypto correlation analysis: Understand when Bitcoin moves with or against traditional markets Cycle timing: Identify potential tops and bottoms in both cycles Risk assessment: Gauge overall market conditions across asset classes Divergence trading: Spot opportunities when cycles diverge significantly Portfolio allocation: Balance traditional and crypto assets based on cycle positioning Technical Notes Uses Z-score normalization with varying lookback periods (40-60 bars) Applies HMA (Hull Moving Average) smoothing to reduce noise Asymmetric multipliers for upside/downside movements in certain metrics Requires access to FRED economic data, Glassnode, CoinMetrics, and IntoTheBlock feeds 21-day timeframe optimized for cycle analysis Strategy Applications This indicator is particularly useful for: Cross-asset allocation - Decide between traditional finance and crypto exposure Cycle positioning - Identify where we are in credit/debt cycles vs. Bitcoin cycles Regime changes - Detect shifts in market leadership and correlation patterns Risk management - Reduce exposure when both cycles turn negative Disclaimer: This indicator is a cycle analysis tool and should not be used as the sole basis for investment decisions. It has limited coverage of monetary conditions, economic fundamentals, and on-chain metrics. The indicator provides directional insight but cannot predict exact timing or magnitude of market moves. Always conduct thorough research, consider multiple data sources, and maintain proper risk management in all investment decisions.
Chỉ báo Pine Script®
của Unicorpus