MTFA - Multi Time Frame Analysis - Moving AveragesThis indicator will help you make better informed trading decisions by showing higher time frame moving averages overlaid on a single chart. You can customise 4 moving averages.
Moving_average
MFTA - Multi Timeframe AnalysisThis indicator plots moving averages from higher timeframes for increasing the probability of a successful trade without using multiple charts for the same ticker.
You can configure the desired higher timeframe (i.e. if you are using a 1 min chart you can plot the 5 Min time frame moving averages).
TradingCube : Moving Average : Data tablePlots moving average both EMA as well as SMA on Multiple timeframes at once in a Tabular Format
for rapid indication of momentum shift as well as slower-moving confirmations.
Displays EMA/SMA 5 8, 13, 21,34,55,89,100,200,400 by default as well as provide the users the flexibility to choose the timeframe as per their set up.
SUPRESHi Dears!
I hope that you enjoyed my "FLEX KDJ IND" till today!
Here, I want to publish one of my other golden indicators for you!
Contents:
+ SUPRES
+ SUPERTREND
+ T.O Line
- SUPRES (SUPPORT/RESISTANCE) is sensitive to trading volumes and with "BACHWARD" you can adjust the length of previous indices in investigation and "MEMORY" is an argument for calling maximum lines that have to be kept for "SUPPORT" and "RESIST".
- SUPERTREND is the normal prepared indicator which is defined in "TRADING VIEW"
-T.O is my suggestion instead of "EMA" to check the phase of session.
I hope that you enjoy this Indicator, please do not forgot to "Warm-It-UP"!
Happy trading,
Shakib
SMAs DistancesThis indicator shows 5 configurable SMAs. It also shows a table with the distance of each one with respect to the last closing price. It also shows if the RSI is in the overbought or oversold zone. You can add alerts if you wish.
SMAs by Default 8, 20, 50, 100 and 200
Swing Trend StrategyThis script is a trend following system which uses a long term Moving Average to spot the trend in combination with the Average True Range to filter out Fakeouts, limiting the overall drawdown.
Default Settings and Calculation:
- The trend is detected using the Exponential Moving Average on 200 periods.
- The Average True Range is calculated on 10 periods.
- The Market is considered in an Uptrend when the price closes above the EMA + ATR.
- The Market is considered in a Downtrend when the price closes below the EMA - ATR.
- The strategy will open a LONG position when the market is in an Uptrend.
- The strategy will close its LONG positions when the price closes below the EMA.
- The strategy will open a SHORT position when the market is in a Downtrend.
- The strategy will close its SHORT positions when the price closes above the EMA.
This script is best suited for the 4h timeframe, and shows good results on BTC and ETH especially.
The options allow to modify the type of moving average to use, the period of the moving average, the ATR multiplier to add as well as the possibility to open short trades or not.
EMAs DistancesThis indicator shows 4 configurable EMAs and the distances (values and percentages) to the last price of the stock, etf or index.
Moving Average Converging [LuxAlgo]This indicator returns a moving average converging toward the price the more a trend makes new higher-highs or lower-lows depending on the detected trend.
Settings
Length: Controls the initial moving average smoothing factor ( 2 / (Length + 1) ), as well as the period of rolling maximums/minimums.
Increment: Smoothing factor increment ( 2 / (Increment+ 1) ) for new higher-high/lower-low, lower values would return a faster converging moving average.
Fast: Fast moving average smoothing factor.
Usage
The proposed moving average can be used like most slow moving averages.
Having a moving average able to converge closer to the price the longer a trend lasts allows users to obtain more timely crosses. This practice can remind us of the Parabolic SAR or our TRAMA indicator:
Notice on the chart above how the moving average converges at an increasing rate with the occurrence of new high-highs/lower-lows.
Fibonacci Moving AverageFibonacci moving averages are a more reactive form of EMA utilizing the Fibonacci sequence (1 2 3 5 8 13 ... etc) to weight values.
This method gives several advantages of EMAs: they respond much sooner to price action while still weighting for past values and longer MAs (200 candle, 800 candle) etc moving averages can be calculated from candle 1 - handy for newly listed cryptocurrencies, equities, ETFs, etc.
The script allows for up to 5 moving averages. They can also be set as WMAs which weight older values more than recent to create slow/fast MAs.
They can be used the same way regular EMAs/WMAs are used: crossovers give trade entry/exit points, can indicate trend by alignment with other MAs and by their angle up/down, and - less useful for FMAs since no one else uses them - they can provide resistance.
MA cloud + divergence tensionI noticed how well BTC often bounces off the 200 Moving Averages on the 4HR so started investigating ways of visualising the ongoing relationship between price and MAs.
Firstly, this draws a cloud which is made up of the SMA and the EMA, and it colours the cloud based on how far the price is diverging from the middle of the cloud. If the price is the most extreme distance out of the set (by default, the past 200) the cloud will be coloured dark blue. If it's the closest, it will be transparent.
I then looked at plotting these extremes. If the price passes the sensitivity threshold (default 99 - I will look at adding more sensitivity in the future), and by that I mean the price is more divergent than that percentage of other prices inspected in the range, it plots a circle - green if it's oversold, red if it's overbought.
These signal maximum tension between the price and the moving averages. Though when I say maximum, I'm only referring to the historic range! As you can see, often price diverges even further and so more signals are placed. But usually, this tension is resolved, either by the MA cloud moving towards the price or the price moving towards the cloud. With confluence from other indicators, these could be good points to start taking dollar cost averaging, or start taking profits.
Once that tension is released, and the price and cloud converge closely again, we get a blue "relief signal", which could signal that the price action is about to rebound again.
Please be careful with this, it's only for fun. Not investment advice!
If you have any suggestions, comments, criticism, I'd love to hear them,
Thanks
Colorful RegressionColorful Regression is a trend indicator. The most important difference of it from other moving averages and regressions is that it can change color according to the momentum it has. so that users can have an idea about the direction, orientation and speed of the graph at the same time. This indicator contains 5 different colors. Black means extreme downtrend, red means downtrend, yellow means sideways trend, green means uptrend, and white means extremely uptrend. I recommend using it on the one hour chart. You can also use it in different time periods by changing the sensitivity settings.
Bollinger Bands + Keltner Channel Refurbished█ Goals
This is an indicator that brings together Bollinger Bands and Keltner's Channels in one thing.
Both are very similar, so I decided to make a merge of the best features I found out there.
Here there is the possibility of choosing one of these two as needed.
In addition, I added the following resources:
1. Pre-Defined intermediate bands with Fibonacci values;
2. Detachment of the bands in which the price was present;
3. Choice of Moving Average:
"Simple", "Exponential", "Regularized Exponential", "Hull", "Arnaud Legoux", "Weighted Moving Average", "Least Squares Moving Average (Linear Regression)", "Volume Weighted Moving Average", "Smoothed Moving Average", "Median", "VWAP");
4. Statistics: bars count within the bands.
█ Concepts
Keltner Channels vs. Bollinger Bands
"These two indicators are quite similar.
Keltner Channels use ATR to calculate the upper and lower bands while Bollinger Bands use standard deviation instead.
The interpretation of the indicators is similar, although since the calculations are different the two indicators may provide slightly different information or trade signals."
(Investopedia)
Bollinger Bands (BB)
"Bollinger Bands (BB) are a widely popular technical analysis instrument created by John Bollinger in the early 1980’s.
Bollinger Bands consist of a band of three lines which are plotted in relation to security prices.
The line in the middle is usually a Simple Moving Average (SMA) set to a period of 20 days (the type of trend line and period can be changed by the trader; however a 20 day moving average is by far the most popular).
The SMA then serves as a base for the Upper and Lower Bands which are used as a way to measure volatility by observing the relationship between the Bands and price.
Typically the Upper and Lower Bands are set to two standard deviations away from the SMA (The Middle Line); however the number of standard deviations can also be adjusted by the trader."
(TradingView)
Keltner Channels (KC)
"The Keltner Channels (KC) indicator is a banded indicator similar to Bollinger Bands and Moving Average Envelopes.
They consist of an Upper Envelope above a Middle Line as well as a Lower Envelope below the Middle Line.
The Middle Line is a moving average of price over a user-defined time period.
Either a simple moving average or an exponential moving average are typically used. The Upper and Lower Envelopes (user defined) are set a range away from the Middle Line.
This can be a multiple of the daily high/low range, or more commonly a multiple of the Average True Range."
(TradingView)
█ Examples
Bollinger Bands with 200 REMA:
Keltner Channel with 200 REMA:
Bollinger Bands with 55 ALMA:
Keltner Channel with 55 ALMA:
Bollinger Bands with 55 Least Squares Moving Average:
█ Thanks
- TradingView (BB, KC, ATR, MA's)
- everget (Regularized Exponential Moving Average)
- TimeFliesBuy ("Triple Bollinger Bands")
- Rashad ("Fibonacci Bollinger Bands")
- Dicargo_Beam ("Is the Bollinger Bands assumption wrong?")
Two MA Signal IndicatorThis Signal Indicator that emits a signal based on two MAs crossover/crossunder. It is designed to be used as an External Input for "Template Trailing Strategy" to verify the correctness of the External Deal Condition Mode of the aforementioned script and the Internal Strategy logic. Also, this script is a simple example on how to create custom signal indicators that can be "pugged" to the "Template Trailing Strategy" and get all the features this strategy script can provide!
LS Volatility Index█ OVERVIEW
This indicator serves to measure the volatility of the price in relation to the average.
It serves four purposes:
1. Identify abnormal prices, extremely stretched in relation to an average;
2. Identify acceptable prices in the context of the main trend;
3. Identify market crashes;
4. Identify divergences.
█ CONCEPTS
The LS Volatility Index was originally described by Brazilian traders Alexandre Wolwacz (Stormer) , Fabrício Lorenz , and Fábio Figueiredo (Vlad)
Basically, this indicator can be used in two ways:
1. In a mean reversion strategy , when there is an unusual distance from it;
2. In a trend following strategy , when the price is in an acceptable region.
Perhaps the version presented here may have some slight differences, but the core is the same.
The original indicator is presented with a 21-period moving average, but here this value is customizable.
I made some fine tuning available, namely:
1. The possibility of smoothing the indicator;
2. Choose the type of moving average;
3. Customizable period;
4. Possibility to show a moving average of the indicator;
5. Color customization.
█ CALCULATION
First, the distance of the price from a given average in percentage terms is measured.
Then, the historical average volatility is obtained.
Finally the indicator is calculated through the ratio between the distance and the historical volatility.
To facilitate visualization, the result is normalized in a range from 0 to 100.
When it reaches 0, it means the price is on average.
When it hits 100, it means the price is way off average (stretched).
█ HOW TO USE IT
Here are some examples:
1. In a return-to-average strategy
2. In a trend following strategy
3. Identification of crashes and divergences
█ THANKS AND CREDITS
- Alexandre Wolwacz (Stormer), Fabrício Lorenz, Fábio Figueiredo (Vlad)
- Feature scaler (for normalization)
- HPotter (for calc of Historical Volatility)
Any RibbonThis indicator displays a ribbon of two individually configured Fast and Slow and Moving Averages for a fixed time frame. It also displays the last close price of the configured time frame, colored green when above the band, red below and blue when interacting. A label shows the percentage distance of the current price from the band, (again red below, green above, blue interacting), when the price is within the band it will show the percentage distance from median of the band.
The Fast and Slow Moving Averages can be set to:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Weighted Moving Average (WMA)
Volume-Weighted Moving Average (VWMA)
Hull Moving Average (HMA)
Exponentially Weighted Moving Average (RMA) (SMMA)
Linear regression curve Moving Average (LSMA)
Double EMA (DEMA)
Double SMA (DSMA)
Double WMA (DWMA)
Double RMA (DRMA)
Triple EMA (TEMA)
Triple SMA (TSMA)
Triple WMA (TWMA)
Triple RMA (TRMA)
Symmetrically Weighted Moving Average (SWMA) ** length does not apply **
Arnaud Legoux Moving Average (ALMA)
Variable Index Dynamic Average (VIDYA)
Fractal Adaptive Moving Average (FRAMA)
I wrote this script after identifying some interesting moving average bands with my AMACD indicator and wanting to see them on the price chart. As an example look at the interactions between ETHBUSD 4hr and the band of VIDYA 32 Open and VIDYA 39 Open. Or start from the good old BTC Bull market support band, Weekly EMA 21 and SMA 20 and see if you can get a better fit. I find the Double RMA 22 a better fast option than the standard EMA 21.
Pivot Moving Average steteggythis Pivot Moving Average steteggy works best on a chart --->>Above 100$ crypto
Sniper is very profitable in terms of% good trades
It will perform very well on 1-5X Leverage (Solid leverage, not variable depending on the volume )
TP: 0.9 %
SL : 5.5 %
EMA Slope
Just an easy way to monitor trends and avoid fake signals.
// Consolidation periods based on moving average slope.
// Sideways markets are the ultimate challenge to most strategies.
// No trading zones will dismiss some fake signals.
MA VisualizerThe MA Visualizer is made up of 5 Moving Averages (MA)
All MA change color when the price closes above or below the MA line.
The background between the MA line and price will also change color, this creates the Visualizer.
When two or more MA are selected the two visualizer's will combine and create a gradient effect.
Each MA can be adjusted with 6 source selection's to choose from (SMA , EMA , WMA , HMA , RMA , WVMA).
The Visualizer can be turned off while leaving the MA lines turned on and vice versa.
Their is also a MA Cross indicator built-in.
Pulu's 3 Moving Averages
Pulu's 3 Moving Averages
Release version 1, date 2021-09-28
This script allows you to customize three sets of moving averages, turn on/off, set color and parameters. It also tags the start date of the last set of moving average if there is. This, release version 1, supports eight moving average algorithms:
ALMA, Arnaud Legoux Moving Average
EMA, Exponential Moving Average
RMA, Adjusted exponential moving average (aka Wilder’s EMA)
SMA, Simple Moving Average
SWMA, Symmetrically-Weighted Moving Average
VWAP, Volume-Weighted Average Price
VWMA, Volume-Weighted Moving Average
WMA, Weighted Moving Average
The availability and function parameters
Func. Availability Parameters
ALMA
MA1, MA2, MA3
source
length
offset
sigma
EMA
RMA
SMA
VWMA
WMA
MA1, MA2, MA3
source
length
SWMA
VWAP
MA1
source
Parameters
Parameter Description
source the series of values to process. The default is to use the closing price to calculate the moving average.
length an integer value that defines the number of bars to calculate the moving average on. The SWMA and VWAP do not use this parameter.
ALMA offset a floating-point value that controls the tradeoff between smoothness (with a value closer to 1) and responsiveness (with a value closer to 0). This parameter is only used by ALMA.
ALMA sigma a floating-point value that specifies the ALMA’s smoothness. The larger this value, the smoother the moving average is. This parameter is only used by ALMA.
I'm not sure if it is needed, so I do not let the three Moving Averages of the script to have indivial algorithm setting. Because that will involve much complicated condition testing and use up more TradingView script lines limit. If you need to combine different algorithms in the three sets of moving averages, or have other ideas, leave a message to let me know; maybe I will try it in the next update.
我不確定是否需要，所以我沒有讓腳本的三組移動平均線有各別的算法設置。因為這將涉及更多複雜的條件測試，並使用更多 TradingView 腳本列數限制。如果您需要在三組均線中組合不同的算法，或者有其他想法，請留言告訴我；也許我會在下一次更新中嘗試。
My 1st indicator- Log(price/20w sma)you may comment out outputs and change variable req for using in different timeframes because its suitable for only 20w sma and bitcoin only for understanding when to buy long term and sell too
i recommend zooming out and making a trend line from tops back from 2013 in bitcoin-index chart
pair it up with rsi and bam you have a very powerful indicator for bitcoin buys for long term
This indicator gnerally provides confluence and i got the idea from , honourable, Benjamin Cowen's Youtube channel to make it
Its not as colourful as his becoz as u see the name its my first indicator but i hope i improve myself :)
Flunki VWAP minus MA OscillatorHerewith a simple oscillator that show the difference in price between a Moving Average of the price, and the current VWAP
This show as a histogram
On top of that is a Moving Average of the histogram value, shown as a blue / red line with an option to hight these crossing and also crossing zero
Simple idea ; code open.
Custom Moving Average (EMA & SMA)This script is a custom visualization tool to plot 4 Moving Averages (MA).
Each MA is customizable; you can:
enable (disable) the plot of MA;
select whether the MA is an EMA or an SMA;
the length;
the source (open, close, ...);
the offset value (default is 0).
Note:
The 1st MA is an EMA with length 50.
The others MAs are SMA with length 9, 30 and 100 respectively.
Moving Average Gap AnalyzerExtremely simple algorithm in order to calculate the gap between 2 simple moving averages. Analyzing perspective defines the line of color as white, green or red. This is done by checking sources of both moving averages and evaluate their past values with the mutual length respectively. Analysis is done by scoring the movements of sources.
What to expect?
- Higher the gap, higher the volatility.
- If the analysis line is green sources have been raising (most likely bull market), if the analysis line is white the market is mostly likely close to horizontal, if the analysis line is red, sources have been decreasing gradually (most likely bear market).
ps. Genuine indicator idea of me. This indicator is not a product or an idea of any group I work with. Completely clear of all types of IP.
