TRIX With Moving Average - Didi's Needles setupTrix with Moving Average ( SMA or EMA ) and Fill Color. Pre-set for the Didi's Needles setup
Length: Trix Length
Use Ema: True will use an EMA , False will use an SMA .
Moving Average: Moving average used in the TRIX value.
Fill: True will fill the interior between the Trix and the MA with the color of the line above it.
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Trix com Média Movel ( MMS e MME) pré configurado para o setup de Agulhadas do Didi
Length: Comprimento do Trix
Use Ema: Verdadeiro usará uma MME , Falso usará uma MMS .
Moving Average: Média móvel utilizada no valor TRIX .
Fill: Verdadeiro irá preencher o interior entre o Trix e a MA com a cor da linha que está em por cima
Sma
Centered Moving AverageThe Centered moving averages tries to resolve the problem that simple moving average are still not able to handle significant trends when forecasting.
When computing a running moving average in a centered way, placing the average in the middle time period makes sense.
If we average an even number of terms, we need to smooth the smoothed values.
Try to describe it with an example:
The following table shows the results using a centered moving average of 4.
nterim Steps
Period Value SMA Centered
1 9
1.5
2 8
2.5 9.5
3 9 9.5
3.5 9.5
4 12 10.0
4.5 10.5
5 9 10.750
5.5 11.0
6 12
6.5
7 11
This is the final table:
Period Value Centered MA
1 9
2 8
3 9 9.5
4 12 10.0
5 9 10.75
6 12
7 11
With this script we are able to process and display the centered moving average as described above.
In addition to this, however, the script is also able to estimate the potential projection of future data based on the available data by replicating where necessary the data of the last bar until the number of data necessary for the calculation of the required centered moving average is reached.
If for example I have 20 daily closings and I look for the moving average centered at 10, I receive the first data on the fifth day and the last data on the fourteenth day, so I have 5 days left uncovered, to remedy this I have to give the last value to the uncovered data the closing price of the last day.
The deviations work like the bollinger bands but must refer to the centered moving average.
Trend Slope Meter - KaspricciTrend Slope Meter
This indicator measures the slope of the trend defined by a moving average or an external source. The slope is calculated by the change of price in ticks for a defined number of bars divided by the number of bars.
Settings
Source - Default: close price. Used to calculate the moving average as basis for slope measurement. Can be an external source of a different indicator as well. In case you select an external source, you can disable the moving average calculation.
Moving Average Settings
Type - Default: EMA. Type of moving average calculation. All provided out of the box by TradingView.
Length - Default: 50. Length used to calculate moving average.
Slope Settings
Length - Default: 50. Length used to calculate slope.
Simple RSI and SMA Long and Short (by Coinrule)The relative strength index ( RSI ) is a momentum indicator used in technical analysis . RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
A simple moving average ( SMA ) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range.
The Strategy enters and closes the trade when the following conditions are met:
LONG
SMA100 is greater than SMA150
RSI is greater than 50
SHORT
SMA100 is less than SMA150
RSI is less than 50
When a long position is opened, it remains open until the conditions for a short are met at which point the long position is closed and the short position is opened. Then, when the conditions for the long position are met, the short will be closed and a long will be opened.
This strategy is back tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
rt maax EMA cross strategythis just sample of our strategies we published with open source, to learning our investor the way of trading and analysis, this strategy just for study and learning
in this strategy we use expontial moving avarage 20 , 50 , 200 and the we build this strategy when the price move up ema 200 and ema 20,50 cross up the 200 ema in this conditions the strargey will open long postion
and the oppisit it is true for short postion in this sitation the price should be under ema 200 and the ema 20 , 50 should cross under 200 ema then the strategy will open the short postion
we try this strategy on forex ,crypto and futures and it give us very good result ,, also we try this postion on multi time frame we find the stragey give us good result on 1 hour time frame .
in the end our advice for you before you use any stratgy you should have the knowledg of the indecators how it is work and also you should have information about the market you trade and the last news for this market beacuse it effect so much on the price moving .
so we hope this strategy give you brefing of the way we work and build our strategy
Bandas de Bollinger + 3 Medias Moviles SimplesDenota de una forma poco invasiva, cuando el precio alcanza las Bandas de Bollinger, y permite apreciar al mismo tiempo las medias móviles de 200,100 y 50 a fin de estar alerta a sus cruces, nos obstante, dicho indicador, debe ser apoyado junto con otros indicadores en los mercados financieros que estén al alza o a la baja.
Descargo de responsabilidad: Este contenido los datos, indicadores y valores reflejados, es solo para fines informativos y no debe interpretarse como asesoramiento legal, fiscal, de inversión, financiero o de otro tipo.
FieryTrading: Buy The Dip - Sell The RipDear Tradingview community,
Today I want to share a very powerful, yet easy to use indicator with you. The indicator will find local tops or bottoms and will help you determine when it's a good time to trade a potential reversal.
How does it work?
The indicator makes use of the RSI to detect extremities and waits until the RSI reverses. Furthermore, a long-term moving average is used to determine whether we're in bullish or bearish market conditions. In bullish conditions the indicator will only go long, in bearish conditions the indicator will only go short.
How do I use it?
Favorite the indicator and apply it to your chart! You can add an alert to the indicator to receive a message once it has detected a good point for a reversal trade.
The indicator can be used on all assets and on all timeframes. Personally, I've found the 1 - 4 hourly timeframes to yield the best results.
Good luck!
SUPER MULTI MOVING AVERAGE [Gabbo]this indicator serves to differentiate the classic Moving Average with a different style
There are 3 Moving Average editable with the Source, length, timeframe and styles. the styles are:
SMA = Simple moving average
EMA = Exponential moving average
WMA = Weighted moving average
RMA = Rolling moving average
HMA = Hull moving average
JMA = Jurik moving average
DEMA = Double exponential moving average
TEMA = Triple exponential moving average
LSMA = Least squares moving average
VWMA = Volume-weighted moving average
SMMA = Moving average Smoothed
KAMA = Kaufman Moving Average Adaptive
ALMA = Arnaud Legoux moving average
FRAMA = Fractal Adaptive moving average
VIDYA = Variable Index Dynamic Average
There are also Inputs that are valid only for some styles such as:
JMA = "Phase" and "Power"
ALMA = "Offset" and "Sigma"
FRAMA = "Lower shift ( FC )" and "Upper shift ( SC )"
VIDYA = "Fixed CMO Lenght (9)?" and "Calculation Method: CMO/StDev?"
The "Ema Fill" input is used to decide the type of Moving Average long or short, the choices are:
Fast/Slow = Long = maFast >= maSlow --- Short maSlow > maFast
Fast = Long = maFast >= close ------ Short maFast < close
Slow = Long = maSlow >= close ------ Short maSlow < close
NA = No fill
If they also select the input "USE Ema Conf ???" the calculations for Moving Average Long and Short become like this:
Fast/Slow = Long = maFast >= maSlow and maConf >= maFast --- Short maSlow > maFast and maSlow > maFast
Fast = Long = maFast >= close and maConf >= maFast ------ Short maFast < close and maFast > maConf
Slow = Long = maSlow >= close and maConf >= maSlow ------ Short maSlow < close and maSlow > maConf
NA = No fill
selecting the input "TABLE ???" a table with 8 boxes will appear and each will be of a different color, based on the Moving Average Long and Short of the 8 different Timeframes.
the "Neutral Position" input is used to calculate the Moving Average Neutral, Long and Short
Long = maFast- maSlow >= upBar and maFast >= maFamaSlow
Short = maFast- maSlow <= -lowBar and maSlow > maFast
Neutral = maFast >= maSlow and maFast- maSlow < upBar OR maSlow > maFast and maFast- maSlow > -lowBar
Fibonacci MAsIt's a pretty simple script. Idea is to compute MAs with the length of Fibonacci numbers and then compute an average of them all.
In the script, you can choose the type of MAs and how many Fibonacci numbers to use for it.
You can also adjust the length of these MAs manually and choose the color of every one of them.
Thanks to @MUQWISHI for helping me code it.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Relative Strength Index with fast and slow MAsThis is the typical Relative Strength Index indicator with two moving averages, one slow (length 50 by default) and one fast (length 20 by default). Additionally, there are four lines, which mark the oversold/overbought signals at different levels, there are two inner bands with values at the levels 40, and 60, and two outer bands at the levels 20, and 80. The presence of the fast and slow moving averages and their crossover/crossunder with the oversold/overbought levels or the RSI can provide more insightful and faster signals. The indicator has a slightly different colouring mechanism.
The views of the RSI indicator on the above the price chart in both dark and light modes:
NSDT MA+ADXThis script combines Moving Averages with ADX Strength, but with an added bonus. Rather than having the Moving Average line always plot on the chart, it will reference the ADX strength based on the settings by the trader.
This way, the Moving Average will not show on the chart unless there is also a strong direction in the trend. This may potentially be used to help with entries when trend trading due to adding the ADX for trend strength.
In the examples below, the ADX settings in the MA+ADX indicator are matched with the settings of a standalone ADX indicator at the bottom of the chart (not included, just for reference).
MA+ADX
prnt.sc
ADX Only
prnt.sc
You will see how the MA only plots when the ADX is over the threshold, currently set at 25. (arrows drawn to indicate confluence)
SMA_EMA_CPR_PivotThis Script can do multiple jobs in single indicator.
Like -:
Plot 3 SMA as per your inputs.
Plot 3 EMA as per your inputs.
Plot CPR Levels.
Plot Pivot Levels.
Plot Previous Day High Low.
Indicator can used in Intraday stock trading, Positional Trading and options trading.
Please Enjoy.
SMA_EMA_CPR_PivotThis Script can do multiple jobs in single indicator.
Like -:
Plot 3 SMA as per your inputs.
Plot 3 EMA as per your inputs.
Plot CPR Levels.
Plot Pivot Levels.
Plot Previous Day High Low.
Indicator can used in Intraday stock trading, Positional Trading and options trading.
Please Enjoy.
Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL [Loxx]Fractal-Dimension-Adaptive SMA (FDASMA) w/ DSL is a fractal-dimension-index-adaptive SMA. The SMA is accelerated during a trend and slowed down during a sideways market, so as to avoid false signals. This indicator uses the fractal dimension to compute an ingest period length into the SMA to output the FDASMA.
What is the Fractal Dimension Index?
The goal of the fractal dimension index is to determine whether the market is trending or in a trading range. It does not measure the direction of the trend. A value less than 1.5 indicates that the price series is persistent or that the market is trending. Lower values of the FDI indicate a stronger trend. A value greater than 1.5 indicates that the market is in a trading range and is acting in a more random fashion.
What are DSL Discontinued Signal Line?
A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made.
Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator.
"Signal" line is calculated the following way :
When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line
When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level
This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods.
In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level.
Included
2 Signal types
Alerts
Loxx's Expanded Source Types
Bar coloring
Clutter-Filtered, D-Lag Reducer, Spec. Ops FIR Filter [Loxx]Clutter-Filtered, D-Lag Reducer, Spec. Ops FIR Filter is a FIR filter moving average with extreme lag reduction and noise elimination technology. This is a special instance of a static weight FIR filter designed specifically for Forex trading. This is not only a useful indictor, but also a demonstration of how one would create their own moving average using FIR filtering weights. This moving average has static period and weighting inputs. You can change the lag reduction and the clutter filtering but you can't change the weights or the numbers of bars the weights are applied to in history.
Plot of weighting coefficients used in this indicator
These coefficients were derived from a smoothed cardinal sine weighed SMA on EURUSD in Matlab. You can see the coefficients in the code.
What is Normalized Cardinal Sine?
The sinc function sinc (x), also called the "sampling function," is a function that arises frequently in signal processing and the theory of Fourier transforms.
In mathematics, the historical unnormalized sinc function is defined for x ≠ 0 by
sinc x = sinx / x
In digital signal processing and information theory, the normalized sinc function is commonly defined for x ≠ 0 by
sinc x = sin(pi * x) / (pi * x)
What is a Generic or Direct Form FIR Filter?
In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration, because it settles to zero in finite time. This is in contrast to infinite impulse response (IIR) filters, which may have internal feedback and may continue to respond indefinitely (usually decaying).
The impulse response (that is, the output in response to a Kronecker delta input) of an Nth-order discrete-time FIR filter lasts exactly {\displaystyle N+1}N+1 samples (from first nonzero element through last nonzero element) before it then settles to zero.
FIR filters can be discrete-time or continuous-time, and digital or analog.
A FIR filter is (similar to, or) just a weighted moving average filter, where (unlike a typical equally weighted moving average filter) the weights of each delay tap are not constrained to be identical or even of the same sign. By changing various values in the array of weights (the impulse response, or time shifted and sampled version of the same), the frequency response of a FIR filter can be completely changed.
An FIR filter simply CONVOLVES the input time series (price data) with its IMPULSE RESPONSE. The impulse response is just a set of weights (or "coefficients") that multiply each data point. Then you just add up all the products and divide by the sum of the weights and that is it; e.g., for a 10-bar SMA you just add up 10 bars of price data (each multiplied by 1) and divide by 10. For a weighted-MA you add up the product of the price data with triangular-number weights and divide by the total weight.
Ultra Low Lag Moving Average's weights are designed to have MAXIMUM possible smoothing and MINIMUM possible lag compatible with as-flat-as-possible phase response.
What is a Clutter Filter?
For our purposes here, this is a filter that compares the slope of the trading filter output to a threshold to determine whether to shift trends. If the slope is up but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. If the slope is down but the slope doesn't exceed the threshold, then the color is gray and this indicates a chop zone. Alternatively if either up or down slope exceeds the threshold then the trend turns green for up and red for down. Fro demonstration purposes, an EMA is used as the moving average. This acts to reduce the noise in the signal.
What is a Dual Element Lag Reducer?
Modifies an array of coefficients to reduce lag by the Lag Reduction Factor uses a generic version of a Kalman velocity component to accomplish this lag reduction is achieved by applying the following to the array:
2 * coeff - coeff
The response time vs noise battle still holds true, high lag reduction means more noise is present in your data! Please note that the beginning coefficients which the modifying matrix cannot be applied to (coef whose indecies are < LagReductionFactor) are simply multiplied by two for additional smoothing .
Things to note
Due to the computational demands of this indicator, there is a bars back input modifier that controls how many bars back the indicator is calculated on. Because of this, the first few bars of the indicator will sometimes appear crazy, just ignore this as it doesn't effect the calculation.
Related Indicators
STD-Filtered, Ultra Low Lag Moving Average
Included
Bar coloring
Loxx's Expanded Source Types
Signals
Alerts
VWAP+SMA+EMAThis is the only indicator combing the results of VWAP + 2 SMAs + 2 EMAs.
This is a free indicator. Enjoy using it.
Kunal Jain
Ichimoku Cloud and Bollinger Bands (by Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
The Bollinger Bands are among the most famous and widely used indicators. A Bollinger Band is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average ( SMA ) of a security's price, but which can be adjusted to user preferences. They can suggest when an asset is oversold or overbought in the short term, thus providing the best time for buying and selling it.
This strategy combines the Ichimoku Cloud with Bollinger Bands to better enter trades.
Long orders are placed when these basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
The closing price is greater than the upper standard deviation of the Bollinger Bands
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
The upper standard deviation of the Bollinger Band is greater than the closing price
The script is backtested from 1 January 2022 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on BTC 30m/1h, ETH 2h, MATIC 2h/30m, AVAX 1h/2h, SOL 45m timeframes
NSDT MA High-LowThis may seem like a pretty basic Moving Average indicator but I haven't seen one that changes the calculation point depending if the market is going up or down.
I've added three EMA's (length of 20) on this sample chart to demonstrate the differences. These are not included with the indicator.
Green, EMA calculated on High
Red, EMA calculated on Low
Yellow, EMA calculated on Close (default)
Blue, EMA calculated on HIGH when rising but on LOW when falling. (looks at 3 candles back to gauge direction)
* * * Note you can choose between 5 different Moving Average types
Notice how the Blue line (when going up it's calculated on the High) is catching up to the Green line (which is already calculated on the High)?
Notice how the Blue line (when going down so it's calculated on the Low) is catching up to the Red line (which is already calculated on the Low)?
This gives a faster response in the direction of the market because it switches between calculating on the High or Low based on market direction.
This script is free and open source.
OHLC Moving AverageThis indicator shows 4 moving averages of Open, High, Low and Close at the same time with an option to select SMA or EMA.
If you implement this indicator twice, you can make it look like the following chart.
One set of MA(red) is for current timeframe and another set(blue) is for higher timeframe, which is to identify potential support and resistance zones.
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四本値(始値、高値、安値、終値)それぞれの移動平均線を同時に表示することのできるインジケーターです。
MAタイプはSMAかEMAを選択することができます。
このインジケーターを二つセットすると以下のように上位足の移動平均線とセットで表示することも可能です。
(赤がチャートの時間軸の4本値の移動平均線、青が上位足の4本値の移動平均線)
上位足の移動平均線をサポート・レジスタンスのゾーンとして捉える時などに活用できます。
Jay Multi SMAIt's strategy of swing & positional trades.. It's based on the concept of crossing of SMA with there diff length...
Percent above or Below Moving Average Candle colourFilter:
If green candle is 'x' % above moving average than colour of candle is turn in blue colour.
If red candle is 'x' % below moving average than colour of candle is turn in orange colour.