Momentum PlayTraders always need a confirmation of momentum in price action to ride the swings.
Momentum Play Indicator consists of the below:
Bullish Conditions :
1)EMA 8 above EMA 34 and rising
2)Candle close above 5 candle high
3) RSI above 60
4) Volume above 5 candles avg. volume
5) ADX above 20
Bearish Conditions :
1)EMA 8 below EMA 34 and falling
2)Candle close below 5 candle low
3) RSI below 40
4) Volume above 5 candles avg. volume
5) ADX above 20
Traders can change the inputs as per their liking to adjust as per their comfortable timeframe.
Credits: Special Thanks to Mr. DTBHAT for sharing the above conditions.
Moving Averages
Colorful Moving Averageswhat is Colorful Moving Averages?
This indicator allows you to use your favorite moving averages in their advanced form.
what it does?
It gives you easy access to the following information with a single indicator: the direction and momentum of the price,
rate of change of momentum (acceleration),
time-dependent change in momentum,
and all the other information a moving average provides.
it paints the selected moving average type according to the momentum it has, and also shows the momentum and acceleration values in a table. colors are interpreted as follows: the color of the moving average is red, the momentum is negative; A green color means the momentum is positive, and a yellow color means the momentum is 0. As the momentum changes, the moving average takes on different shades of these 3 colors. how it actually works can be easily understood at a glance.
"Δ" sign indicates momentum compressed between 100 and -100.
"Γ" sign indicates the momentum of the momentum, that is the acceleration. its values are compressed between 100 and -100.
how it does it?
it uses this formulas:
how to use it?
First, select the moving average type you want to use. then set the length and source. Now, with a single indicator, you can observe both the distance of the price from the mean, its instantaneous momentum relative to the last candle by looking at the symbol "Δ", the current change of momentum by looking at the symbol "Γ", and the time-dependent change in its momentum by looking at the colors. you can also see the maximum and minimum points where the momentum is equal to 0.
NSDT EMA+ATRI had this idea to make a custom Moving Average that adapts to the market. I chose to use the Average True Range. As the market makes bigger/smaller moves, this custom Moving Average applies the ATR as the length of the EMA. This gives more distance to the Moving Average as the volatility picks up or reduces.
Just set the length you want the ATR to look back (default is 100) and the multiplier (default is 2) to work with the instrument being traded.
It's also setup for use on Multi Time Frames.
Technical Dashboard with High and Low Price Prediction Hello everyone!
I am releasing this indicator. It is called the Technical Dashboard and the name is pretty self explanatory! So let's get into it:
What it does:
The technical dashboard displays 4 commonly used technical indicators: Stochastics, RSI, Z-Score and MFI. It will display the current value of each of these technical indicators, as well as the highest and lowest value over a user defined period and the SMA.
The user can input the source and lookback period for each of the indicators individually. It is defaulted to 14, but I do recommend using a larger lookback time period as 14 tends to be a little too narrow.
The indicator will display a notice of whether the stock is trading in a max range, min range or neutral range based on its previous highest and lowest range. If the stock is trading between the highest and lowest range, it will display a neutral range reading.
In addition to displaying those 4 commonly used technical indicators, the indicator will also display the highest and lowest highs and lows of a ticker over a user defined period. You can opt for it to plot out the High and Low SMA and select your timeframe for these SMA plots.
The current value for the High and Low actually depicts a predicted High and Low based on the user defined lookback period. The Current Range column will show you when and if the predicted high or low is reached. The high and low defaults to the timeframe you are on. So if you are trading off the 5 minute chart, it will display the predicted high and low on the 5 minute time frame. The 1 hour, it will show the 1 hour, etc. It provides price prediction using a simple regression based analysis that pinescript provides.
Examples of its use:
In the image above, you can see how the indicator shows you when the stock is trading in some of its max ranges.
Note that just because a stock is trading in its max or min range does not necessarily mean that the stock is going to reverse in the opposite direction. While highest and lowest represent previous areas of reversal, it doesn't always mean that it will result in a reversal again. What it tells us more is whether momentum has picked up one way or the other, be it bearish or bullish momentum. This is useful information to help us decide whether a ticker has good momentum and whether a move is likely to have follow through. However, a stock trading in its high or low range can indeed signal a reversal. It is important to pay attention to the underlying price action and plan your trades accordingly.
Customizations
All of the indicators are individually customizable, from lookback length, SMA length and input source for RSI, Z-Score and MFI.
In addition to the lookback periods, you can also view highest and lowest ranges based on the SMA length. If you select "Show reversals based on SMA", the indicator will display the highest and lowest values of the SMA instead of the stock itself.
Gauging Strength:
You can use this indicator to gauge strength in many ways. First of all, your ability to see where a stock is trading relative to its historically high and low technical ranges helps you determine the overall momentum of the stock. However, you can have the indicator plot the predicted high and low ranges (see image below):
The green arrows are pointing to areas where the stock is breaking past its high levels. This shows that the over-arching sentiment is bullish. However, we can see when it starts to lose steam, it stops touching the high values and starts to touch and break below the low values (red arrows). This signals to us that the stock is losing the bullish momentum and we should be alert for a reversal to the downside or upside, depending on the setup.
There are many applications you can use it for and there is a lot of customizability. Play around with it and let me know what you think, how it helps you and any suggestions for its improvement.
As always, I have prepared a quick video tutorial on getting started with the setups on the indicator which is linked below:
Thank you all for checking this out and safe trades everyone!
SynthSAR ConfirmationThis indicator represents confirmation of a trend based on the PSAR indicator and includes signals from the MACD, stochastic oscillator, and awesome oscillator. It displays the points of the parabolic SAR on the chart, which help determine the direction of the trend. Additionally, the indicator allows for tracking signals based on the combined analysis of three other technical indicators: MACD, stochastic oscillator, and awesome oscillator. Furthermore, the indicator includes the ability to display buy/sell labels and signals for changing the trend direction. This is not an investment recommendation.Very effective in higher timeframes.If the MACD "macd line" crosses the "signal line" from above and the Stochastic %K line crosses the %D line from above, and the last column in the Avesome Oscillator is red, then the indicator gives a signal to sell. If the MACD "macd line" crosses the "signal line" from below and the Stochastic %K line crosses the %D line from below, and the last column in the Avesome Oscillator is green, then the indicator gives a signal to buy.
kama
█ Description
An adaptive indicator could be defined as market conditions following indicator, in summary, the parameter of the indicator would be adjusted to fit its optimum value to the current price action. KAMA, Kaufman's Adaptive Moving Average, an adaptive trendline indicator developed by Perry J. Kaufman, with the notion of using the fastest trend possible based on the smallest calculation period for the existing market conditions, by applying an exponential smoothing formula to vary the speed of the trend (changing smoothing constant each period), as cited from Trading Systems and Methods p.g. 780 (Perry J. Kaufman). In this indicator, the proposed notion is on the Efficiency Ratio within the computation of KAMA, which will use a Dominant Cycle instead, an adaptive filter developed by John F. Ehlers, on determining the n periods, aiming to achieve an optimum lookback period, with respect to the original Efficiency Ratio calculation period of less than 14, and 8 to 10 is preferable.
█ Kaufman's Adaptive Moving Average
kama_ = kama + smoothing_constant * (price - kama )
where:
price = current price (source)
smoothing_constant = (efficiency_ratio * (fastest - slowest) + slowest)^2
fastest = 2/(fastest length + 1)
slowest = 2/(slowest length + 1)
efficiency_ratio = price - price /sum(abs(src - src , int(dominant_cycle))
█ Feature
The indicator will have a specified default parameter of: length = 14; fast_length = 2; slow_length = 30; hp_period = 48; source = ohlc4
KAMA trendline i.e. output value if price above the trendline and trendline indicates with green color, consider to buy/long position
while, if the price is below the trendline and the trendline indicates red color, consider to sell/short position
Hysteresis Band
Bar Color
other example
Multi-Symbol Cross Indicator Template - Unleash Your Potential!Unlock your full trading potential with this powerful and versatile Multi-Symbol Cross Indicator Template! This script is designed to make you stand out from the crowd by enabling you to monitor multiple symbols on a single chart for specific events, such as a Golden Cross or Death Cross. With its high adaptability to include various technical indicators, you're in complete control of your trading decisions and market analysis.
By using the built-in request.security function, this template fetches data for your chosen symbols from the selected exchange and calculates the conditions (e.g., moving average crossovers) for each symbol. Although the current implementation focuses on Golden Crosses and Death Crosses, the sky is the limit when it comes to modifying the script to incorporate other technical indicators such as RSI, MACD, or Bollinger Bands.
You, as a discerning trader, can easily customize the script by selecting your preferred exchange and symbols through input options. This flexibility allows you to monitor your favorite markets without the need for any direct code modification, giving you the ultimate adaptability for various trading strategies and market analysis purposes.
Remember, this script is more than just an example or template; it's the key to unleashing your inner trading genius. While it's not intended to be a standalone trading strategy, it serves as the foundation for you to build upon and create your own customized multi-symbol indicators or strategies. You are awesome, and with this Multi-Symbol Cross Indicator Template, there's no doubt that you're on the path to achieving great success in your trading journey!
Ehlers Undersampled Double Moving Average Indicator [CC]The Undersampled Double Moving Average was created by John Ehlers (Stocks and Commodities April 2023), and this is a double moving average system which is pretty rare for John Ehlers. For those of you who would like my other take on an Ehlers double moving average, be sure to check out my previous Ehlers double moving average script . He came up with a unique idea for this indicator to create a moving average using a sample of the price data. For example, we use his suggested length of 5 only to use the price data every 5 bars. Feel free to change this, and please let me know if you find a length that works better. He then smooths the indicator using the Hann Windowed Moving Average . I color-coded the lines to show stronger signals in darker colors or standard signals in lighter colors. Buy when the line turns green and sell when it turns red.
Let me know if there is an indicator or script you would like to see me publish!
SB Multiple Moving Averages (Simple)This script contains 7 simple moving averages. You can use 1-7 moving averages on the chart. Also you can display in the table this moving averages. If the box on the chart is green , close price is above the moving average but if box is red, close price is below the moving average. And this feature is very useful because if you do not want to see the complex moving averages on the chart, you can just look the table and remove the averages on the chart.
ATR-Stepped, Another New Adaptive Moving Average [Loxx]ATR-Filtered, Another New Adaptive Moving Average is a modification of @cheatcountry's "Another New Adaptive Moving Average " shown below
I've added AT- stepped filtering. This is a standard ATR filter that works by requiring movement by XX multiple of ATR before registering a trend flip. I've also included Loxx's Expanded Source Types. You can read about those here:
From @cheatcountry on A New Adaptive Moving Average
The New Adaptive Moving Average was created by Scott Cong (Stocks and Commodities Mar 2023) and this is a companion indicator to my previous script
This indicator still works off of the same concept as before with effort vs results but this indicator takes a slightly different approach and instead defines results as the absolute difference between the closing price and a closing price x bars ago. As you can see in my chart example, this indicator works great to stay with the current trend and provides either a stop loss or take profit target depending on which direction you are going in. As always, I use darker colors to show stronger signals and lighter colors to show normal signals. Buy when the line turns green and sell when it turns red.
Included
Alerts
Signals
Loxx's Expanded Source Types
Rainbow Collection - VioletMoving averages come in all shapes and types. The most basic type is the simple moving average which is simply the sum divided by the quantity. Therefore, the simple moving average is the sum of the values divided by their number.
In technical analysis, you generally use moving averages to understand the underlying trend and to find trading signals. In the case of the Violet indicator, we are using a Hull moving average which is a special variation based on different weights to minimize lag.
The Violet indicator is therefore used as follows:
* A bullish signal is generated whenever the close price surpasses the 20-period Hull moving average while the previous close prices from periods were all below their respective Hull moving average of the period.
*A bearish signal is generated whenever the close price breaks the 20-period Hull moving average while the previous close prices from periods were all above their respective Hull moving average of the period.
The aim of the Violet indicator is to capture reversals as early as possible through a combination of lagged conditions based on the Fibonacci sequence.
[blackcat] L2 John Ehlers Undersampled Double MALevel2
Background
This is a novel "undersampling data" processing trick proposed by John F. Ehlers in his April 2023 article "Just Ignore Them".
Function
In signal processing, undersampling, or bandpass sampling, is a technique whereby a bandpass-filtered signal is sampled at a sample rate below its Nyquist rate (twice the upper cut-off frequency), but the signal can still be reconstructed. When undersampling a bandpass signal, the samples are indistinguishable from samples of a low-frequency alias of the high-frequency signal.
John Ehlers notes that data smoothing is often used to avoid trading spikes. While this can result in fewer trading signals, it can also result in a delay in those trading signals. He describes how undersampling can be used in conjunction with Hann window finite impulse response (FIR) filters to remove high-frequency components in price data, resulting in less delay than traditional smoothing filters.
In this indicator, Hann windowing is applied a a pair of fast/slow moving averages which is used to improve their response perfomrnace. Yellow line is the fast line while fuchsia line is the slow line. You can judge bull bear stattus by checking the status it is in golden cross or in dead cross status.
Remarks
Feedbacks are appreciated.
Leverage Liquidation Circles/dots/alertsThis plots liquidation alerts for different levels of leverage. The script calculates the liquidation prices for both long and short positions based on the inputted leverage values. Then, it plots dots on the chart where liquidation can occur for each level of leverage. Additionally, it plots circles on the chart only when a liquidation event occurs, at which point the circle changes color to indicate the level of leverage that triggered the liquidation.
The script allows traders to visualize potential liquidation events for different levels of leverage, which can be helpful in managing risk when trading on margin. The different colors of the circles can quickly communicate which level of leverage triggered the liquidation, allowing traders to quickly assess the situation and adjust their positions if necessary.
Bollinger Bands Weighted Alert System (BBWAS)The idea of this indicator is very similar to my previous published script called BBAS (Bollinger Bands Alert System).
Just with little additions. In this case, we're using a Weighted Moving Average (ta.wma) instead of Simple Moving Average to calculate the basis line.
A breakout in trading refers to a situation where the price of a security or asset moves beyond a defined level of support or resistance, which is typically indicated by technical analysis tools like Bollinger Bands. Bollinger Bands consist of three lines: the upper band, the lower band, and the middle band (or basis). The upper and lower bands are set at a specified number of standard deviations away from the middle band, and they help to define the range within which the price of an asset is expected to fluctuate.
When the price of the asset moves beyond the upper or lower band, it is said to have "broken out" of the range. If the price closes below the lower band, it is considered a bearish breakout, and if it closes above the upper band, it is considered a bullish breakout.
Once a breakout occurs, traders may look for a confirmation signal before entering a trade. In this case, crossing the middle line (or basis) after a breakout may signal a potential trend reversal and a good opportunity to enter a long or short trade, depending on the direction of the breakout.
Dear traders, while we strive to provide you with the best trading tools and resources, we want to remind you to exercise caution and diligence in your investing decisions.
It is important to always do your own research and analysis before making any trades. Remember, the responsibility for your investments ultimately lies with you.
Happy trading!
Correlation prix [SP500, TESLA, BTCBefore you see this post I want to thank all the TradingView team. Every day that passes I learn better and better to use Pine script and I owe this to all those who publish and to the philosophy of TradingView. Thanks from Amos
This trading indicator compares the prices of the S&P 500 Index (SP500), Tesla (TSLA), and Bitcoin (BTC) to find correlations between them. To make the prices of SP500 and Tesla comparable to the price of Bitcoin, the indicator multiplies the closing price of Tesla by 114 and the closing price of the S&P 500 Index by 5.6.
In this way we can superimpose the prices on the BTC chart and see what happens.
Average BTC price/ tesla price = 114, so if we multiply the tesla price by 114 times we can superimpose it on the BTC price
At average BTC/SPX price = 5.6, also in this case we multiply the price of SPX by 5.6 to overlay the graph and see any correlations.
The indicator then calculates the average price between SP500 and Tesla, using the formula (SP500 + Tesla) / 2. This calculation creates a new line on the chart that represents the average price between these two assets.
The BTC_SP_TE variable is then calculated as the average of the closing price of Bitcoin and the previously calculated average price of SP500 and Tesla, using the formula (Btc + SP_TE) / 2. This calculation creates another line on the chart that represents the average price between Bitcoin and the previously calculated average between SP500 and Tesla.
The idea behind calculating these averages is to find correlations and patterns between the prices of these assets, which can help identify potential trading opportunities. By comparing the average prices of different assets, the trader can look for trends and patterns that might not be apparent when looking at each asset individually.
The indicator plots these prices on a chart and fills the area between them with either green or fuchsia, depending on which one is higher. The strategy suggests buying Bitcoin when the average price of SP500 and Tesla is higher than the current price of Bitcoin, and selling when it is lower.
To add visual cues to the trading strategy, the indicator uses the plotchar function to display a small triangle below the chart when it detects a potential buying opportunity. This is done with the following parameters:
Value: BTC_SP_TE < Btc and Btc > Btc1 and Btc1 > Btc , which is a logical expression that checks whether the average price of SP500 and Tesla is less than the current price of Bitcoin (BTC_SP_TE < Btc), and whether the current price of Bitcoin is higher than the price 10 bars ago (Btc > Btc1 ) and higher than the price on the previous bar (Btc1 > Btc ).
Text: "Moyen BTC_SP_Te", which is the text to display inside the marker.
Symbol: "▲", which is the symbol to use for the marker. In this case, it is a small triangle pointing upwards.
Location: location.belowbar, which specifies that the marker should be placed below the bar.
I hope this is an example of how to create an indicator on TradingView, remember that correlations do not always last, it is possible that when you see the graph this correspondence no longer exists, do your studies and get inspired.
Trendlines 2x ver. 5 plus GMMA modifiedthis is a copy of "Trendlines 2x +" Script by Lij_MC (but converted to Version 5 of Pine script), which draws trendlines from the pivot points in the price chart and also add some arrows from "Guppy Multiple Moving Averages" Indicator by optictropic for trend confirmation.
I Change this code from Pine script 4 to 5 to add some functionalities to it.
Some adjustments of parameters have been made by me to easy recognition of Trendline breaks.
These parameters are in the original code, but I make them default for nicer look of the indicator and easier recognition of Trendline breaks.
for example, breaking the primary trendlines are shown by color change of the candles and in the same time by a Break symbol as a label.
breaking the secondary trendlines are shown only by candle color. Extension of the secondary trendlines are set to 50 candles to better recognize the past trendlines .
color candles are set to default to easily see the trend direction of the chart.
I have also added some arrows by the help of "Guppy Multiple Moving Averages" indicator by optictropic, that can be used for confirmation of trend direction.
I think this can represent good looking trend direction and trendline breaks can help traders for a better trade decision.
for better trading with this indicator, buy when you have green or lime color for candles, and GMMA gives UP long arrow signals, check higher time frames, and at last, this is only a help but not a final decision making indicator. you must have your own price action analysis.
best wishes
(Very promising) [Abdullah Ahmed] Momentum indicator V.1Description: MOM-LRC is a powerful technical analysis indicator designed to provide traders with signals based on the momentum of an asset's price and its deviation from its mean value. The indicator calculates the exponential RSI and uses a custom function to determine the percentage change from the mean. The upper and lower bands of the momentum channel are then calculated using linear regression of the rate of change from the mean. The channel multiplier can be adjusted to increase or decrease the sensitivity of the indicator.
How to use :
1 - Using MOM-LRC , look for buy signals when the price of the asset is below the lower border of the channel and retracing up. The opposite is true in the case of sell signals.
2 - It is also used in the case of negative and positive divergences, just as you use RSI
The indicator can be used on any time frame and any asset, making it a versatile tool for traders of all levels.
features:
Calculates exponential RSI and percentage change from the mean
Uses linear regression to calculate upper and lower bands of momentum channel
Adjustable channel multiplier for increased sensitivity
Suitable for any time frame and any asset
Happy trading!
MARS - Moving Average Relative StrengthThe original idea from this script is from the script " Percentage Relative Strength " by dman103 . The original script compared a symbol to an index by their everyday percentage change. The symbol percentage was subtracted from percentage change of the index, & the results were then smoothed by moving averages.
Instead of daily percentage changes, this script directly calculates relative strength via a moving average. We call this simpler approach as MARS (Moving Average Relative Strength) .
MARS compares a symbol to the index by making use of the price's distance from a moving average. By default, we compare the distance from the 50-day simple moving average of the stock vs that of the index. Both the type & the length of the moving average is customisable.
Background color indicates the index being above or below its moving average.
Blue background: index is above its moving average
Pink background: index is below its moving average
The histogram indicates whether the stock is under-performing or out-performing the index.
Up-bars : stock is out-performing the index i.e. between the stock & the index, the difference between the distance to/from the 50-day moving average is a positive value.
Down-bars : stock is under-performing the index i.e. between the stock & the index, the difference between the distance to/from the 50-day moving average is a negative value.
The color of the histogram indicates the type of out-performance or under-performance. There can be a total of 6 such colors:
Relative out-performance : both index & stock are bearish, but stock is less bearish. The script prints light green up-bars on a pink background.
Gross out-performance : both index & stock are bullish, but stock is more bullish. The script prints green up-bars on a blue background.
Absolute out-performance : index is bearish, but stock is bullish! The script prints blue up-bars on a pink background.
Relative under-performance : both index & stock are bullish, but stock is less bullish. The script prints light red bars on a blue background.
Gross under-performance : both index & stock are bearish, but stock is more bearish. The script prints dark red bars on a pink background.
Absolute under-performance : index is bullish, but stock is bearish! The script prints black down-bars on a blue background.
Additional customisation options:
Paint bars option changes the bar colors to mirror the histogram colors.
Easy colors option just changes the histogram colors to either blue or pink, indicating out-performance or under-performance, respectively. This is when the trader does not wish to demarcate between the above-mentioned 6 conditions.
TASC 2023.04 Undersampled Double MA█ OVERVIEW
TASC's April 2023 edition of Traders' Tips features an article entitled "Just Ignore Them: Undersampling The Data As A Smoothing Technique" by John Ehlers, which explores a method for reducing noise through data sampling. This script implements the article's proposed Undersampled Double MA indicator.
█ CONCEPTS
The conventional approach to reducing the impact of noise in the market data on trading rules is to use smoothing filters like moving averages. However, John Ehlers suggests that changing the sample rate of the datastream is a simple and effective way to smooth the data and reduce noise. Specifically, he argues that undersampling the data removes high-frequency components contributing to noisiness. Notably, the elimination of these components produces less lag than that of conventional smoothing filters.
The Undersampled Double MA indicator implemented in this script represents a practical application of smoothing with undersampling. It samples the data at a given rate (for instance, once every five bars, as suggested by Ehlers), then processes the resulting data using a Hann window filter with two different periods, producing two smooth data streams that traders can use in the same way as the combination of two conventional moving averages of different lengths (i.e., fast and slow MAs).
█ CALCULATIONS
The script samples data once every N th bar (by default, N = 5) and smooths the undersampled data with 6-period and 12-period Hann filters, which it plots on the main chart. Users can adjust the sampling period and the periods of each Hann filter to their liking from the inputs in the script settings.
Simple Dominance Momentum IndicatorThe Simple Dominance Momentum Indicator is a powerful tool for tracking market trends in the world of cryptocurrency. By analyzing the relationship between dominance and market movement, this indicator helps traders identify when money is flowing into or out of the market.
Using the pane structure on TradingView, the Dominance Momentum Indicator makes it easy to visualize and track data from CryptoCap charts. Whether you're a seasoned investor or starting out, this indicator can help you make more informed trading decisions.
All this indicator does is create the pane with a line chart using the Dominance charts to allow you to see the data with one button instead of doing it all manually. However with the addition to allow it to toggle between crypto and stables, so if you are using a /BTC pair, you don't have to add a new pane on, it automatically converts. If you are looking at USDT pairs for example, it will highlight that one for you.
While it can work under any conditions, the Dominance Momentum Indicator is particularly effective on higher timeframes, providing valuable insight into the overall plot of the market trend. With a 55EMA and a faster-moving average of 21EMA, this indicator is designed to help you stay ahead of the curve and make smarter trading decisions.
Remember the golden rule for stablecoin dominance. Down = good, and up = bad; however, you can just invert the indicator, so it flows with the market.
When it comes to the dominance of individual cryptocurrencies, for example, DOT.D, you might find that it going up = increasing dominance is STRENGTH. If the dominance of that is increasing it means it's growing.
Creator Credit: Jamie Goodland
5 Minute TF 200 EMA Retest by Grantwww.tradingview.com
This indicator is a simple script meant to find retests on the 200 period moving average. It's current state is optimized for the 5 minute timeframe.
This works in all markets and all timeframes as long as you adjust certain rules for higher timeframes.
It's strengths and weaknesses
- Good at trend continuation in strong markets
- Bad in ranging markets (not surprising)
How does it work?
- It first identifies an overall trend by using the 200 ema.
- For long positions, it waits for price to close below the 200 ema, and then shortly closing back above the ema. For short positions its the opposite.
- For lower timeframes there are some other factors that help filter out bad signals that include:
- Makes sure that volume is increasing.
- Makes sure that volume is higher than average volume.
- For higher timeframes, the more specific factors aren't required.
How to use this indicator:
- Green triangles mean long positions
- Red triangles mean short positions
- Always trade with stoplosses and never risk too much of your account, please practice proper risk managment.
DISCLAIMER: Trading is inherently dangerous and carries lot's of risk. What you decide to do with my script has nothing to do with me. I am not responsible for any financial gains or losses made using this script. It is important to recognize other factors in the market to make better decisions.
SLSMA - Smooth LSMASLSMA - Smooth Least Squares Moving Average is an attempt to smooth out the ZLSMA line.
The SLSMA formula calculates the difference between between the LSMA and the LSMA minus the LSMA of itself.
SLSMA follows all the same rules of LSMA and ZLSMA but provides a much more stable regression and stronger pivots.
Moving Average Lab - by InFinitoThe Moving Average Lab allows to create any possible combination of up to 3 given MAs. It is meant to help you find the perfect MA that fits your style, strategy and market type.
This script allows to average, weight, double and triple multiple types and lengths of Moving Averages
Currently supported MA types are:
SMA
EMA
VWMA
WMA
SMMA (RMA)
HMA
LSMA
DEMA
TEMA
Features:
- Double or Triple any type of Moving Average using the same logic used for calculating DEMAs and TEMAs:
In the following example you can see a normal, double and triple 200 VWMA
- Average 2 or 3 different types and lengths of Moving Average:
In the example you can see the average between a Double LSMA and a SMA
- Weight each MA manually:
The example shows the average of an HMA and a VWMA with the HMA having a weight of 2 and the VWMA having a weight of 1
- Average up to 3 personalized MAs:
The example shows the average of an EMA + a Double WMA + a Triple SMA with a 3:2:1 weighting
- Average different Moving Averages with different length each:
The example shows the average of an 800 SMA + a 400 VWMA + a 200 EMA
