STD-Filtered, Adaptive Exponential Hull Moving Average [Loxx]STD-Filtered, Adaptive Exponential Hull Moving Average is a Kaufman Efficiency Ratio Adaptive Hull Moving Average that uses EMA instead of WMA for its computation. I've also added standard deviation stepping to further smooth the signal. Using EMA instead of WMA turns the Hull into what's called the AEHMA. You can read more about the EHMA here: eceweb1.rutgers.edu
What is the traditional Hull Moving Average?
The Hull Moving Average (HMA) attempts to minimize the lag of a traditional moving average while retaining the smoothness of the moving average line. Developed by Alan Hull in 2005, this indicator makes use of weighted moving averages to prioritize more recent values and greatly reduce lag. The resulting average is more responsive and well-suited for identifying entry points.
What is Kaufman's Efficiency Ratio?
The Efficiency Ratio (ER) was first presented by Perry Kaufman in his 1995 book ‘Smarter Trading‘. It is calculated by dividing the price change over a period by the absolute sum of the price movements that occurred to achieve that change. The resulting ratio ranges between 0 and 1 with higher values representing a more efficient or trending market.
The value of the ER ranges between 0 and 1. It has the value of 1 when prices move in the same direction for the full time over which the indicator is calculated, e.g. n bars period. It has a value of 0 when prices are unchanged over the n periods. When prices move in wide swings within the interval, the sum of the denominator becomes very large compared to the numerator and ER approaches zero.
Some uses for ER:
A qualifier for a trend following trade; a trend is considered “persistent” only when RE is above a certain value, e.g. 0.3 or 0.4 .
A filter to screen out choppy stocks/markets, where breakouts are frequently “fakeouts”.
In an adaptive trading system, helping to determine whether to apply a trend following algorithm or a mean reversion algorithm.
It is used in the calculation of Kaufman’s Adaptive Moving Average (KAMA).
How to calculate the Hull Adaptive Moving Average (HAMA)
Find Signal to Noise ratio (SNR)
Normalize SNR from 0 to 1
Calculate adaptive alphas
Apply EMAs
Included
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
المتوسط المتحرك الأسي
The Hummingbird - MA Ribbon by Joe (EMA, SMA, SMMA, WMA, VWMA)Tired of having to add multiple moving average indicators to your chart? Well, stop doing that. No, really. Listen. Adding duplicate indicators is totally not cool. And, it won't go over well at the next HOA meeting if you keep doing it.
Here's the sweet moving average ribbon you've been waiting for (with 1-10 moving average lines!). It will make your charts look much cooler 😎. And you'll gain the respect of all your neighbors if you add it to your charts.
In all seriousness, this is a slimmed-down version of my other super-awesome script with a stupid name, "Joe's Ultimate MA Ribbon (w/ Crossover Triggers)."
Basically, I removed the crossover signals from it and changed the name to a much superior name, "The Hummingbird."
Yeah. Right on. So, if you don't want or need the crossover signals, go right on humming with "The Hummingbird."
Enjoy, friends. 🍻
If you still want the original ribbon with crossover signals, get it here .
Options:
Show/Hide MA Lines: Only show the lines you wanna see. No more. No less.
MA Type (can be different for each line!): EMA , SMA , SMMA (RMA), WMA , VWMA
MA Source (for each line): open, close, high, low, hl2 , hlc3, ohlc4, hlcc4
MA Length (for each line): any number between 1 and 4999
Line Colors: Ooh, pretty.
Variety N-Tuple Moving Averages w/ Variety Stepping [Loxx]Variety N-Tuple Moving Averages w/ Variety Stepping is a moving average indicator that allows you to create 1- 30 tuple moving average types; i.e., Double-MA, Triple-MA, Quadruple-MA, Quintuple-MA, ... N-tuple-MA. This version contains 2 different moving average types. For example, using "50" as the depth will give you Quinquagintuple Moving Average. If you'd like to find the name of the moving average type you create with the depth input with this indicator, you can find a list of tuples here: Tuples extrapolated
Due to the coding required to adapt a moving average to fit into this indicator, additional moving average types will be added as they are created to fit into this unique use case. Since this is a work in process, there will be many future updates of this indicator. For now, you can choose from either EMA or RMA.
This indicator is also considered one of the top 10 forex indicators. See details here: forex-station.com
Additionally, this indicator is a computationally faster, more streamlined version of the following indicators with the addition of 6 stepping functions and 6 different bands/channels types.
STD-Stepped, Variety N-Tuple Moving Averages
STD-Stepped, Variety N-Tuple Moving Averages is the standard deviation stepped/filtered indicator of the following indicator
Last but not least, a big shoutout to @lejmer for his help in formulating a looping solution for this streamlined version. this indicator is speedy even at 50 orders deep. You can find his scripts here: www.tradingview.com
How this works
Step 1: Run factorial calculation on the depth value,
Step 2: Calculate weights of nested moving averages
factorial(depth) / (factorial(depth - k) * factorial(k); where depth is the depth and k is the weight position
Examples of coefficient outputs:
6 Depth: 6 15 20 15 6
7 Depth: 7 21 35 35 21 7
8 Depth: 8 28 56 70 56 28 8
9 Depth: 9 36 34 84 126 126 84 36 9
10 Depth: 10 45 120 210 252 210 120 45 10
11 Depth: 11 55 165 330 462 462 330 165 55 11
12 Depth: 12 66 220 495 792 924 792 495 220 66 12
13 Depth: 13 78 286 715 1287 1716 1716 1287 715 286 78 13
Step 3: Apply coefficient to each moving average
For QEMA, which is 5 depth EMA , the calculation is as follows
ema1 = ta. ema ( src , length)
ema2 = ta. ema (ema1, length)
ema3 = ta. ema (ema2, length)
ema4 = ta. ema (ema3, length)
ema5 = ta. ema (ema4, length)
In this new streamlined version, these MA calculations are packed into an array inside loop so Pine doesn't have to keep all possible series information in memory. This is handled with the following code:
temp = array.get(workarr, k + 1) + alpha * (array.get(workarr, k) - array.get(workarr, k + 1))
array.set(workarr, k + 1, temp)
After we pack the array, we apply the coefficients to derive the NTMA:
qema = 5 * ema1 - 10 * ema2 + 10 * ema3 - 5 * ema4 + ema5
Stepping calculations
First off, you can filter by both price and/or MA output. Both price and MA output can be filtered/stepped in their own way. You'll see two selectors in the input settings. Default is ATR ATR. Here's how stepping works in simple terms: if the price/MA output doesn't move by X deviations, then revert to the price/MA output one bar back.
ATR
The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.
Standard Deviation
Standard deviation is a statistic that measures the dispersion of a dataset relative to its mean and is calculated as the square root of the variance. The standard deviation is calculated as the square root of variance by determining each data point's deviation relative to the mean. If the data points are further from the mean, there is a higher deviation within the data set; thus, the more spread out the data, the higher the standard deviation.
Adaptive Deviation
By definition, the Standard Deviation (STD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values. In technical analysis we usually use it to measure the level of current volatility .
Standard Deviation is based on Simple Moving Average calculation for mean value. This version of standard deviation uses the properties of EMA to calculate what can be called a new type of deviation, and since it is based on EMA , we can call it EMA deviation. And added to that, Perry Kaufman's efficiency ratio is used to make it adaptive (since all EMA type calculations are nearly perfect for adapting).
The difference when compared to standard is significant--not just because of EMA usage, but the efficiency ratio makes it a "bit more logical" in very volatile market conditions.
See how this compares to Standard Devaition here:
Adaptive Deviation
Median Absolute Deviation
The median absolute deviation is a measure of statistical dispersion. Moreover, the MAD is a robust statistic, being more resilient to outliers in a data set than the standard deviation. In the standard deviation, the distances from the mean are squared, so large deviations are weighted more heavily, and thus outliers can heavily influence it. In the MAD, the deviations of a small number of outliers are irrelevant.
Because the MAD is a more robust estimator of scale than the sample variance or standard deviation, it works better with distributions without a mean or variance, such as the Cauchy distribution.
For this indicator, I used a manual recreation of the quantile function in Pine Script. This is so users have a full inside view into how this is calculated.
Efficiency-Ratio Adaptive ATR
Average True Range (ATR) is widely used indicator in many occasions for technical analysis . It is calculated as the RMA of true range. This version adds a "twist": it uses Perry Kaufman's Efficiency Ratio to calculate adaptive true range
See how this compares to ATR here:
ER-Adaptive ATR
Mean Absolute Deviation
The mean absolute deviation (MAD) is a measure of variability that indicates the average distance between observations and their mean. MAD uses the original units of the data, which simplifies interpretation. Larger values signify that the data points spread out further from the average. Conversely, lower values correspond to data points bunching closer to it. The mean absolute deviation is also known as the mean deviation and average absolute deviation.
This definition of the mean absolute deviation sounds similar to the standard deviation (SD). While both measure variability, they have different calculations. In recent years, some proponents of MAD have suggested that it replace the SD as the primary measure because it is a simpler concept that better fits real life.
For Pine Coders, this is equivalent of using ta.dev()
Bands/Channels
See the information above for how bands/channels are calculated. After the one of the above deviations is calculated, the channels are calculated as output +/- deviation * multiplier
Signals
Green is uptrend, red is downtrend, yellow "L" signal is Long, fuchsia "S" signal is short.
Included:
Alerts
Loxx's Expanded Source Types
Bar coloring
Signals
6 bands/channels types
6 stepping types
Related indicators
3-Pole Super Smoother w/ EMA-Deviation-Corrected Stepping
STD-Stepped Fast Cosine Transform Moving Average
ATR-Stepped PDF MA
MARKAY MOVING AVERAGESMarkay Moving Averages
EMA's
5 - RED
10 - NAVY
20 - TEAL
50 - GREEN
SMA's
100 - ORANGE
200 - RED
Choppy Market EMA IdentificationThis indicator could be used to identify choppy Market Conditions based on the EMA.
It is an EMA that could be configured to only show up, if the last 1..n candles are NOT crossing the EMA in any direction.
I figured out that lower timeframes ( < 30 min) often the price bounces around the 200 EMA and gives lot of false signals using different strategies.
So i decided to write a small indicator to avoid taking trades in those market conditions.
The Indicator could be configured for the length of the EMA and how many crosses must be happened in the defined numbers of candles.
Choppy Market EMA IdentificationThis indicator could be used to identify choppy Market Conditions based on the EMA.
It is an EMA that could be configured to only show up, if the last 1..n candles are NOT crossing the EMA in any direction.
I figured out that lower timeframes ( < 30 min) often the price bounces around the 200 EMA and gives lot of false signals using different strategies.
So i decided to write a small indicator to avoid taking trades in those market conditions.
The Indicator could be configured for the length of the EMA and how many crosses must be happened in the defined numbers of candles.
Choppy Market EMA IdentificationThis indicator could be used to identify choppy Market Conditions based on the EMA.
It is an EMA that could be configured to only show up, if the last 1..n candles are NOT crossing the EMA in any direction.
I figured out that lower timeframes ( < 30 min) often the price bounces around the 200 EMA and gives lot of false signals using different strategies.
So i decided to write a small indicator to avoid taking trades in those market conditions.
The Indicator could be configured for the length of the EMA and how many crosses must be happened in the defined numbers of candles.
STD-Stepped, Variety N-Tuple Moving Averages [Loxx]STD-Stepped, Variety N-Tuple Moving Averages is the standard deviation stepped/filtered indicator of the following indicator
Variety N-Tuple Moving Averages is a moving average indicator that allows you to create 1- 30 tuple moving average types; i.e., Double-MA, Triple-MA, Quadruple-MA, Quintuple-MA, ... N-tuple-MA. This version contains 5 different moving average types including T3. A list of tuples can be found here if you'd like to name the order of the moving average by depth: Tuples extrapolated
STD-Stepped, You'll notice that this is a lot of code and could normally be packed into a single loop in order to extract the N-tuple MA, however due to Pine Script limitations and processing paradigm this is not possible ... yet.
If you choose the EMA option and select a depth of 2, this is the classic DEMA ; EMA with a depth of 3 is the classic TEMA , and so on and so forth this is to help you understand how this indicator works. This version of NTMA is restricted to a maximum depth of 30 or less. Normally this indicator would include 50 depths but I've cut this down to 30 to reduce indicator load time. In the future, I'll create an updated NTMA that allows for more depth levels.
This is considered one of the top ten indicators in forex. You can read more about it here: forex-station.com
How this works
Step 1: Run factorial calculation on the depth value,
Step 2: Calculate weights of nested moving averages
factorial(nemadepth) / (factorial(nemadepth - k) * factorial(k); where nemadepth is the depth and k is the weight position
Examples of coefficient outputs:
6 Depth: 6 15 20 15 6
7 Depth: 7 21 35 35 21 7
8 Depth: 8 28 56 70 56 28 8
9 Depth: 9 36 34 84 126 126 84 36 9
10 Depth: 10 45 120 210 252 210 120 45 10
11 Depth: 11 55 165 330 462 462 330 165 55 11
12 Depth: 12 66 220 495 792 924 792 495 220 66 12
13 Depth: 13 78 286 715 1287 1716 1716 1287 715 286 78 13
Step 3: Apply coefficient to each moving average
For QEMA, which is 5 depth EMA , the caculation is as follows
ema1 = ta. ema ( src , length)
ema2 = ta. ema (ema1, length)
ema3 = ta. ema (ema2, length)
ema4 = ta. ema (ema3, length)
ema5 = ta. ema (ema4, length)
qema = 5 * ema1 - 10 * ema2 + 10 * ema3 - 5 * ema4 + ema5
Included:
Alerts
Loxx's Expanded Source Types
Bar coloring
Signals
Standard deviation stepping
Variety N-Tuple Moving Averages [Loxx]Variety N-Tuple Moving Averages is a moving average indicator that allows you to create 1- 30 tuple moving average types; i.e., Double-MA, Triple-MA, Quadruple-MA, Quintuple-MA, ... N-tuple-MA. This version contains 5 different moving average types including T3. A list of tuples can be found here if you'd like to name the order of the moving average by depth: Tuples extrapolated
You'll notice that this is a lot of code and could normally be packed into a single loop in order to extract the N-tuple MA, however due to Pine Script limitations and processing paradigm this is not possible ... yet.
If you choose the EMA option and select a depth of 2, this is the classic DEMA; EMA with a depth of 3 is the classic TEMA, and so on and so forth this is to help you understand how this indicator works. This version of NTMA is restricted to a maximum depth of 30 or less. Normally this indicator would include 50 depths but I've cut this down to 30 to reduce indicator load time. In the future, I'll create an updated NTMA that allows for more depth levels.
This is considered one of the top ten indicators in forex. You can read more about it here: forex-station.com
How this works
Step 1: Run factorial calculation on the depth value,
Step 2: Calculate weights of nested moving averages
factorial(nemadepth) / (factorial(nemadepth - k) * factorial(k); where nemadepth is the depth and k is the weight position
Examples of coefficient outputs:
6 Depth: 6 15 20 15 6
7 Depth: 7 21 35 35 21 7
8 Depth: 8 28 56 70 56 28 8
9 Depth: 9 36 34 84 126 126 84 36 9
10 Depth: 10 45 120 210 252 210 120 45 10
11 Depth: 11 55 165 330 462 462 330 165 55 11
12 Depth: 12 66 220 495 792 924 792 495 220 66 12
13 Depth: 13 78 286 715 1287 1716 1716 1287 715 286 78 13
Step 3: Apply coefficient to each moving average
For QEMA, which is 5 depth EMA, the caculation is as follows
ema1 = ta.ema(src, length)
ema2 = ta.ema(ema1, length)
ema3 = ta.ema(ema2, length)
ema4 = ta.ema(ema3, length)
ema5 = ta.ema(ema4, length)
qema = 5 * ema1 - 10 * ema2 + 10 * ema3 - 5 * ema4 + ema5
Included:
Alerts
Loxx's Expanded Source Types
Bar coloring
BankNifty ScriptsBank Nifty Script
Indicator provides Daily, Hourly and Weekly EMA's Exponential Moving Averages for different scripts of Bank Nifty Composition. You'll have CMP and % change along with cRSI.
Credit to RozaniGhani-RG for cRSI code.
Default length is 50 you can change as per your choice.
Table display can be set Vertically top, right, bottom and horizontally left, centre, right.
cRSI if above > 70 the label will change to Focus on Sell and less than < 30 label will show Focus on Buy
Basically created this script for my personal use to see in one shot what's happening in Bank Nifty Composition individual scripts.
Hope it helps.
TARVIS Labs - Alts Macro Bottom/Top SignalsSCRIPT DESCRIPTION
PLEASE READ THROUGH THIS CAREFULLY.
This is a script specifically written to help provide indicators from a macro view for ALTS. This script needs to be run on the 1 day. It helps indicate when to accumulate alts, and when its in a bull run when this a bull run top beginning to form with warnings, and a indicator that a top is in. This is described further below.
NOTE - in order to accomodate most alts the script had to be broad enough in its indicators to cover many different scenarios. If you are trading a smaller altcoin I suggest taking a more conservative approach to accumulation.
FAQs:
1. Why is there no accumulation zone showing up before an uptrend?
This could be because the trend has been so strong for this coin that there hasn't been a strong enough signal to accumulate or this could be that the chart doesnt have enough historical data (needs over 2 years) for the indicators to flash green.
2. Why is there no tops shown for a chart Im looking at?
This is either because there isn't enough historical data (needs over 2 years) for the indicators to build or because the altcoin didnt perform as well as the rest of the market. The altcoin has to perform as well as the market over the length of the bull run in order for the signals to show. Typically an altcoin that shows sharp increases and sharp drops shortly after will not have signals show up.
3. The "Potential End of Bull Run Top Indicator" showed up but we weren't near the top yet, why is that?
The alts indicator has to work across many altcoins, and their trends are not all the same. This can lead to the indicator showing but not necessarily being the exact top. The data from the alts macro bottom/top signals should be paired with the "TARVIS Labs bitcoin macro bottom/top signals" indicator for BTC. The reasoning is because if the top is not showing that its in for Bitcoin its likely that the altcoin's top is also not in. You should use the two in tandem to know if the bull run top is very likely in.
ACCUMULATION ZONE INDICATOR - LIGHT GREEN
Description
When we look at the general crypto landscape, the 200d & 300d EMAs are extremely useful. We can use their cross and momentum in order to determine a bottom forming. If the price has fallen over 40% below the 200 day EMA and the 200 day EMA has crossed below the 300d EMA, its a downtrend with a steep fall, which could indicate a good time to accumulate. When we see the 200 day EMA's slope drop drastically (over 5% w/w) it is also a good signal to accumulate.
Strategy for Usage
For alts, the strategy can vary drastically. You need to take into account:
1. the market cap of the altcoin, is it a smaller market cap altcoin or a larger one?
2. historical trend, does it typically trend strongly with a smaller accumulation zone?
Once you've taken these into account you can form a strategy. For example, if the altcoin has had smaller accumulation zones historically you'll want to take advantage of the accumulation zones when they pop up and be more aggressive (say a 30 day accumulation). If the altcoin has historically had longer accumulation zones then you'll want to be more conservative with your strategy and potentially have a 100 day (or even longer) accumulation period. If the altcoin is a smaller market cap alt, you will want to also take that into account. You'll want to likely be more conservative,
STRONG BUY IN ACCUMULATION ZONE INDICATOR - DARK GREEN
Description
We can add to the bottoming signal by looking for strong downtrends inside the bottoming signal. We do this by seeing when the 36 day EMA has a slope decreasing by 2% day/day.
Strategy for Usage
These strong downtrend days can be used to add more to our accumulation strategy. We can add more on these days (ex. double what you were planning to on a typical accumulation day).
LOCAL TOP NEAR BULL RUN TOP INDICATOR - RED
Description
When the 100 week EMA is in a strong uptrend (4% increase w/w) we can look for significant loss of momentum in order to determine if a local top is in near a bull run top. This strategy uses a MACD with 9/36/9 config for the daily chart. We look for the signals momentum loss, when the slope becomes negative.
Strategy for Usage
Ideally the right strategy to use here is to exit the market when this indicator starts. When the indicator ends if the "Potential End of Bull Run Top Indicator" is not showing on the chart you can buy back into the market.
POTENTIAL END OF BULL RUN TOP INDICATOR - DARK RED
Description
When the 100 week EMA is in a strong uptrend (3% increase w/w), and a MACD config of 108/234/9 has a negative signal slope signifying a very large momentum loss, but the 1d 18 EMA is still above the 1d 63 EMA we show this signal.
Strategy for Usage
This is a strong indicator that the top is in, and it potentially being the bull run top. Because alts can vary strongly in their charts, this should be a strong warning but not necessarily a certainty that the bull run is over.
Higher Time Frame EMAs and 1% volatility indicatorSet the "higher time frame" (HTF) from which the EMAs will be calculated in all timeframes.
Example: I chose timeframe 1D and I will see the EMAs from TF 1D also in smaller TF as 1, 5, 30, 60 minutes.
There are 4 EMAs. The default values are 5, 10, 60 and 223 periods from "Scalping the Bull" indicator.
You can change the periods of each EMA.
The indicator have also a volatility indication, showing -1% and +1% price levels.
RSI+ by Wilson (alt)Extension of the excellent RSI+ script by Wilsonlibero. I tweaked the parameters to better fit crypto markets, and I added a few more visuals, such as midline, overbought/oversold threshold lines and areas, background coloration depending on RSI trend above or below midline, and a few other tweaks especially colors (fixed the transp parameter deprecation for example). The color theme is by default more optimized for dark mode charts, but all colors can be configured, and all drawings can be enabled/disabled/tweaked in the parameters.
I'm just giving back to the community since I could modify this script only because it was open-source. If you like this script, please don't give me any credit, but please show some love to the original author Wilsonlibero:
Chervolinos Ultrafast RMTA MACDDescription of a classic MACD:
MACD, short for moving average convergence/divergence, is a trading indicator used in technical analysis of stock prices, created by Gerald Appel in the late 1970s. It is designed to reveal changes in the strength, direction, momentum, and duration of a trend in a stock's price. The MACD indicator (or "oscillator") is a collection of three time series calculated from historical price data, most often the closing price. These three series are: the MACD series proper, the "signal" or "average" series, and the "divergence" series which is the difference between the two. The MACD series is the difference between a "fast" (short period) exponential moving average (EMA), and a "slow" (longer period) EMA of the price series. The average series is an EMA of the MACD series itself. The MACD indicator thus depends on three time parameters, namely the time constants of the three EMAs. The notation "MACD" usually denotes the indicator where the MACD series is the difference of EMAs with characteristic times a and b, and the average series is an EMA of the MACD series with characteristic time c. These parameters are usually measured in days. The most commonly used values are 12, 26, and 9 days, that is, MACD. As true with most of the technical indicators, MACD also finds its period settings from the old days when technical analysis used to be mainly based on the daily charts. The reason was the lack of the modern trading platforms which show the changing prices every moment. As the working week used to be 6-days, the period settings of represent 2 weeks, 1 month and one and a half week. Now when the trading weeks have only 5 days, possibilities of changing the period settings cannot be overruled. However, it is always better to stick to the period settings which are used by the majority of traders as the buying and selling decisions based on the standard settings further push the prices in that direction.
Description of the new Ultrafast RMTA MACD:
Ultrafast RMTA MACD, short for moving average convergence/divergence, is a trading indicator used in technical analysis of stock prices, created by Chervolino. It is designed to reveal changes in the strength,
direction, momentum, and duration of a trend in a stock's price. The RMTA MACD indicator (or "oscillator") is a collection of three time series calculated from historical price data, from the closing price.
The RMTA MACD based on the THE RECURSIVE MOVING TRENDLINE SYSTEM technical.traders.com
and is series is the difference between a "fast" (short period) Recursive Moving Trend Average, and a "slow" (longer period) Recursive Moving Trend Average of the price series. The average series is an EMA of the MACD series itself.
The result is a non laging indicator, depends on the settings.
special thanks to
everget
LonesomeTheBlue
TARVIS Labs - Bitcoin Macro Bottom/Top SignalsSCRIPT DESCRIPTION
This is a script specifically written to help provide indicators from a macro view. This script is best run on the 1 day interval on Bitstamp's $BTCUSD chart. It helps indicate when to accumulate bitcoin, and when its in a bull run when there are local tops, strong top warnings, and a signal to exit a bull run. This is described further below.
If you don't have interest in trading on the way to the top I suggest turning off the following indicators in the settings of the indicator:
- Opportunity To Buy Back In Indicator
- Local Top Near Bull Run Top Indicator
ACCUMULATION ZONE INDICATOR - LIGHT GREEN
Description
When we look at the history of Bitcoin every bottom has crossed below the 100 week EMA. Once it does its accompanied by hash ribbon cross with miner capitulation. After that is the prime time to accumulate as theres a clearer signal the bottom is in. Specifically, a signal to look for is the 14 day MACD/signal cross and the 14 day MACD continuing to stay above the signal until the price returns above the 100 week EMA. This is prime accumulation territory.
Strategy for Usage
A good strategy to use when accumulating the bottom is dollar-cost averaging over a 30 day period. The accumulation zone can last longer than 30 days but 30 days is a good range of time to DCA.
STRONG BUY IN ACCUMULATION ZONE INDICATOR - DARK GREEN
Description
We can add to the bottoming signal by looking for post-downtrend reversals inside the bottoming signal. We do this by using a 9/19 daily cross.
Strategy for Usage
These post-downtrend reversals can potentially provide better targeted days for accumulation than the broader bottoming signal and can be used to add more on that day than on an average day for the dollar cost average strategy. Say for example, use 1/3 of funds on these days rather than 1/30th.
OPPORTUNITY TO BUY BACK IN INDICATOR - BLUE
Description
When the 1d 18 EMA > 1d 63 EMA and the 12/52 1d crosses. These together provide good buy opportunities to buy bitcoin.
Strategy for Usage
If you happen to find yourself out of the market from your own TA or a trade, this signal can provide a buy opportunity to reenter the market if you're out of it.
BULL RUN LOCAL TOP INDICATOR - ORANGE
Description
We will similarly use the 100 week EMA to determine trend reversal into a bull run. When we see the 100 week EMA uptrending, we can begin to look for local tops using the 9/19 daily MACD/signal bearish cross along with the 12 EMA having a negative slope, which could be the beginning signal for a local top.
Strategy for Usage
This is a rather light indicator, but can be used in tandem with your own technical analysis to determine if you want to reenter after you exit from its signal.
LOCAL TOP NEAR BULL RUN TOP INDICATOR - RED
Description
When the 100 week EMA is in an uptrend we can look for significant loss of momentum in order to determine if a local top is in near a bull run top. Similar to the Bull Run Local Top Indicator, this strategy uses a MACD/signal cross but instead uses the 30/65 day EMAs.
Strategy for Usage
Ideally the right strategy to use here is to exit the market when this indicator starts. When the indicator ends if the "End of Bull Run Indicator" is not showing on the chart you can buy back into the market.
TOP IS LIKELY IN INDICATOR
Description
When the 100 week EMA is in a very strong uptrend and the 9/19 weekly MACD/signal bearish cross occurs, and the 63 EMA begins to downtrend.
Strategy for Usage
This signal typically accompanies the "Local Top Near Bull Run Top Indicator" therefore if you're following the strategy you would likely already be out of the market, but if you're not and this signal fires its a strong signal the top is in and we're likely going to start seeing a strong retrace. This is typically right before we see the "End of Bull Run Indicator". There is only one occurrence where it wasn't followed by a large drop & the "End of Bull Run Indicator" and that was in the 2017 bull run where there were many strong retracements post local top. The likelihood we see that again is low, but if it were to happen you can buy back into the market when the "Top is Likely In Indicator" and the "Local Top Near Bull Run Top Indicator" are not firing.
TOP IS LIKELY IN INDICATOR
Description
When the 100 week EMA is in a strong uptrend and the 9/19 weekly MACD/signal bearish cross occurs, and the 63 EMA begins to downtrend.
Strategy for Usage
This signal typically accompanies the "Local Top Near Bull Run Top Indicator" therefore if you're following the strategy you would likely already be out of the market, but if you're not and this signal fires its a strong signal the top is in and we're likely going to start seeing a strong retrace. This is typically right before we see the "End of Bull Run Indicator". There is only one occurrence where it wasn't followed by a large drop & the "End of Bull Run Indicator" and that was in the 2017 bull run where there were many strong retracements post local top. The likelihood we see that again is low, but if it were to happen you can buy back into the market when the "Top is Likely In Indicator" and the "Local Top Near Bull Run Top Indicator" are not firing.
END OF BULL RUN INDICATOR
Description
When the 100 week EMA is in an uptrend and the 1d 18 EMA crosses the 1d 63 EMA.
Strategy for Usage
When the 100 week EMA is a strong uptrend and the 18/63 cross occurs the top is very likely in. It has occurred in every bull run top leading to the bear market.
J_TPO Velocity VariationThis one is a very random indicator but with an excellent concept. Unfortunately, I don't know much about the origin of this indicator or who made it. Still, the first appearance was around 2004 on a Meta Trader forum. There are a lot of variations of the J_TPO indicator. One of them is the J_TPO Velocity. The difference from the original version is that it uses the price range of the latest candles to change the magnitude of the indicator value, but the concept is the same.
More info here
In its original form, an oscillator between -1 and +1 is a nonparametric statistic quantifying how well the prices are ordered in consecutive ups (+1) or downs (-1), or intermediate cases. The velocity variation adds the price range, and this script variation adds a baseline as a filter for the indicator. This indicator will work as a confirmation indicator. Using it with the trend filter will work as an entry indicator.
Besides the columns representing the indicator's values, 2 more signals will be printed on the chart. One is the middle cross, the other the kicking middle cross. The first will print a signal when the J_TPO crosses the middle line (0) in favor of the trend. A diamond will be printed when the baseline is above 0, and the cross is upwards. The inverse for crosses downwards. The other signal is the Kicking middle cross which will appear when the cross comes after an opposite cross. This will give only one signal per cross in the same direction, which may help identify earlier the trend direction.
RSI TrendRSI Hull Trend is a hybrid indicator with RSI of HULL Signal. The Hull MA is combined with RSI to see if the Hull MA Buy/Sell Signal is in overbought or oversold condition. Buy Sell Signals are plotted based on settings of OB/OS or RSI. This indicator is very useful to see if the Trend is in Exhaustion or Beginning of a Trend. Entry and Exit conditions can be more precise based on OB/OS condition of price action. In addition normal RSI trend is plotted with trend color from Hull MA. Best Performance with Heiken Ashi Candles.
OB/OS Settings provided
Hull Buy/Sell Signals plotted
Double RSI FAST and DEFAULT signal with crossover
Bar Color applied based on Hull RSI Trend
Hull Trend + RSI + Price Action
EMA 10,55,200 (CriptoAprendices) CriptoAprendices
Media Móvil Exponencial (EMA'S )de 10,55 Y 200 en Un Solo Indicador
EMA + VWAP (CriptoAprendices)CriptoAprendices 2022
Estrategia EMA 9 + VWAP (Day Trading)
Lo ideal es usar EMA DE 9 + VWAP (Session) y operar en grafico de 5 minutos
4EMA SET & VWAP帶有價格及名稱標籤可自訂的4條EMA線和VWAP
Customizable 4 EMA lines and VWAP with price and name labels.
Bollinger BandsThis is the combination of three indicators (BOLLINGE BAND+VWAP+EMA200)
CREATED BY ANKR SINGH
Simple and Exponential Moving Averages (20, 50, 200)Displays the 20, 50, and 200 simple and exponential moving averages in 1 indicator.
