Moon Launch Alerts Template [Indicator]I created this indicator/study script because i ran into the issue that the same Alerts would fire multiple times. For example it would trigger a Long signal when already being in a Long. I guess there would be no issue with a very basic strategy but with a larger script and many variables, it seemed to create complications.
This is resolved by a TradingLine oscillator and only when it switches to a new and different position from previous, will it trigger an Alert.
If you are in a Long and it signals Long again, then this is seen as a "Continuation Long" in the Alerts settings. You can use this condition to add to your existing position (Optional). Continuation signals are plotted as bright green/red dots.
You will notice there's an option to uncheck "Trade Shorts" and "Trade Exits" signals.
Lets say you choose not to trade Short and Exits, then your Long would only Exit once a Short signal is detected.
This could prove useful for Back-testing purposes.
This quick example script uses the EMA 10, EMA 200, emaPlus1Atr and emaMinus1Atr.
To use in your script, you will need to modify and add your own BUY/SELL/EXIT signals in the box where it says:
//// INPUT YOUR BUY/SELL/EXIT SIGNALS HERE: ////
//////////////////////////////////////////////////
Hope someone will find this useful, or even just as an additional visual confirmation for your own trading strategy and script.
M-oscillator
Bogdan Ciocoiu - Code runnerDescription
The Code Runner is a hybrid indicator that leverages other pre-configured, integrated open-source algorithms to help traders spot regular and continuation divergences.
The Code Runner specialises in integrating some of the most popular oscillators well known for their accuracy when scalping using divergence strategies.
Uniqueness
The Code Runner stands out as a one-stop-shop pack of oscillator algorithms that traders can further customise to spot divergences.
The indicator's uniqueness stands from its capability to recast each algorithm to apply to the same scale. This feature is achieved by manually adjusting the outputs of each algorithm to fit on a scale between +100 and -100.
Another benefit of the Code Runner comes from its standardisation of outputs, mainly consisting of lines. Showing lines enables traders to draw potential regular and continuation divergences quickly.
The indicator has been pre-configured to support scalping at 1-5 minutes.
Open-source
The Code Runner uses the following open-source scripts and algorithms:
www.tradingview.com
www.tradingview.com
www.tradingview.com
www.tradingview.com
www.tradingview.com
www.tradingview.com
www.tradingview.com
www.tradingview.com
These algorithms are available in the public domain either in TradingView space or outside (given their popularity in the financial markets industry).
[Mad]Trend BarcolorsTrend colors based on PSA and selectable Ma's.
classic PSAR trend mixed with 2 selectable MA's switching between Bullish Neutral Baerish
the switching logic is in colorlogic()
usage: colorswitch maybe one entry.
if you want to trade with a trend example: green yellow, green << entry (long)
if you want to trade against a trend example: green yellow red (entry short)
This is not an indicator that works on its own, it is a helper in a decision, never a single instrument is possible.
have fun
[MAD] FibchannelsThis is an indicator that gives you bands around the Fibonacci levels High/Low of the asset.
There are 3 time frames available so you can use the hourly, daily and weekly at the same time.
You can change the bands via selectable inputs to suit your own preferences.
you can as example combine with RSI or MACD to find a entry
Bitcoin Risk Long Term indicatorOBJECTIVE:
The purpose of this indicator is to synthesize via an average several indicators from a wide choice with in order to simplify the reading of the bitcoin price and that on a long term vision.
Useful for those who want to see things simply, typically to make a smart DCA based on risk.
I originally used this script as a sandbox to understand and test the usefulness of several indicators, and to develop my PineScript skills, but finally the Risk Indicator output seems relevant so I decided to share it.
USAGE:
The selected indicators are the ones that I think give the best market bottoms, but the idea here is that anyone can try and use any set of indicators based on those preferences (post in comments if you find a relevant config)
Most of the indicator inputs are configurable. And some are not taken into account in the calculation of the Risk indicator because I consider them not relevant, this script is also a test more than a final version.
NOTES :
If you have any idea of adding an indicator, modification, criticism, bug found: share them, it is appreciated!
In the future I will create another more versatile Risk indicator that will not be focused on bitcoin in weekly. (this indicator is still usable on other assets and timeframe)
THANKS:
to Benjamin Cowen for inspiring me with his Bitcoin Risk metric
to Lazybear for his Wavetrend Indicator and all the scripts he shares
to Mabonyi for his Bitcoin Logarithmic Growth Curves & Zones script
to VuManChu for his VMC Cypher B Divergence
to the Trading view team for developing TV and PineScript
And to all the community for all the published codes that allowed me to progress and create this script
---- FR ----
OBJECTIF :
L'objectif de cet indicateur est de synthétiser via une moyenne plusieurs indicateurs parmi un large choix avec afin de simplifier la lecture du cours de bitcoin et cela sur une vision longue terme.
Utile pour ceux qui veulent voir les choses simplement, typiquement faire un DCA intelligent en fonction du risque.
À la base j'ai utilisé ce script comme un bac à sable pour comprendre puis tester l'utilité de plusieurs indicateurs, et développer mes compétences PineScript, mais finalement l'output Risk Indicateur me semble pertinent donc autant le partager.
UTILISATION :
Les indicateurs sélectionnés sont ceux qui permettent selon moi d'avoir les meilleurs point bas de marché, mais l'idée ici est que chacun puisse essayer et utiliser n'importe quel ensemble d'indicateur en fonction de ces préférences (poster en commentaire si vous trouvez une configuration pertinente)
La plupart des inputs indicateurs sont paramétrables. Et certains ne sont pas pris en compte dans le calcul du Risk indicateur car je les estime non pertinent, ce script est aussi un essai plus qu'une version finale.
NOTES :
Si vous avez la moindre idée d'ajout d'indicateur, modification, critique, bug trouvé : partagez-les, c'est apprécié !
à l'avenir je créerais un autre Risk indicator plus polyvalent qui ne sera pas focalisé sur bitcoin en weekly. (cet indicateur est tout de même utilisable sur d'autre actif et timeframe)
REMERCIEMENT :
à Benjamin Cowen pour m'avoir inspiré avec son Bitcoin Risk metric
à Lazybear pour son Wavetrend Indicator et globalement tout les scripts qu'il partage
à Mabonyi pour son script Bitcoin Logarithmic Growth Curves & Zones
à VuManChu pour son VMC Cypher B Divergence
à l'équipe Trading view pour avoir développé TV et PineScript
Et à toute la communauté pour tous les codes publiés qui m'ont permis de progresser et de créer ce script
SAR + 3SMMA with SL & TPThis script is a combination of SAR strategy and 3 Smoothed Moving Averages.
Strategy:
Takes SAR longs when all 3 SMMAs are rising. Take SAR short when all 3 SMMAs are falling.
Supports StopLoss and TakeProfit.
If you have found a profitable setup for it, please share in the comments or private chat.
Screener for 40+ instrumentsAs you probably know in TradingView there is a limit of 40 instruments in one custom screener.
I created a script that will allow you to scan more symbols.
The idea of it is pretty simple. You have to add a screener a few times on your screen with a different set of symbols. Then select column width (as % of your chart width) and # of the screener right to left.
Script will plot #1 screener next to the right border. For #2 and all next tables, the script will compute the needed offset and will draw it on the left. This way it will look like one table and not a few separate indicators.
I created a script with an RSI screener, but you can create more complicated examples with it.
Off course, that's not a silver bullet solution but might work for some of you.
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.
Distance/Drawdown from a period high/lowShow distance (%) from previous high/low in selected period.
Rainbow Oscillator The Rainbow Oscillator is a technical indicator that shows prices in overbought or oversold areas. That allows you to catch the price reversal point.
---------------
FEATURES
---------------
.:: Dynamic levels ::.
The indicator levels are divided into several zones, which have a fibonacci ratio. Zones determine the overbought/oversold level. Blue and green level zones are better for buying, red and orange for selling. Dynamic levels are used as replacements for classic levels such as -100 and 100 for the CCI indicator or 30 and 70 for the RSI indicator. Dynamic levels work much better than static levels, as they are more adaptive to the current market situation.
.:: Composite oscillator (3 in 1) ::.
The main signal line of the indicator includes all three oscillators RSI, CCI, Stoch in different ratios. In the settings, you can change the proportions or completely remove one of the oscillators by setting its weight to 0
.:: CCI + RSI + Stoch ratio setting ::.
Each of the oscillators has its own weight in the calculation formula: w2 * cci ( + w1 * ( rsi - 50) + (1 - w2 - w1) * ( stoch - 50), this allows you to create the resulting oscillator from all indicators, depending on the weight of each of them. Each weight value must be between 0 and 1 so that the sum of all weights does not exceed 1.
.:: Smoothing levels and lines of the oscillator ::.
Smoothing the oscillator readings allows you to filter out the noise and get more accurate data. Level offset allows you to customize the support for inputs.
.:: Market Flat ::.
Dynamic creation of levels allows you to find in the price reversal zone, even when the price is in a flat
.:: Sources ::.
You can change the data source for the indicator to the number of longs and shorts for the selected asset. For example, BTCUSDLONGS / BTCUSDSHORTS is perfect for Bitcoin, then the oscillator will work on this data and will not use the quote price.
.:: Trend Detection ::.
The main line of the oscillator has 2 colors - green and red. Red means downtrend, green means uptrend. Trend reversal points are most often found in overbought and oversold zones.
.:: Alerts ::.
Alerts inside for next events: Buy (blue point) Sell (red point) and TrendReversal (change line color)
----------------
TRADING
—-------------
There are several possible entry points for the indicator, let's consider them all.
1) Trend reversal.
Long entry: The indicator line is in the green zone below 0 (oversold), while the line changes color from red (downward) to green (upward)
Short entry: The indicator line is in the red zone above the 0 (overbought) mark, while the line changes color from green to red.
2) Red and blue dots.
Long entry: Blue dot
Short Entry: Red Dot
I prefer to use the first trading method.
----------------
SETTINGS
----------------
.:: Trend Filter (checkbox) ::.
Use trend confirmation for red/blue dots. When enabled, the blue dot requires an uptrend, red dot requires downtrend confirmation before appearing.
.:: Use long/shorts (checkbox) ::.
Change formula to use longs and shorts positions as data source (instead of quote price)
.:: RSI weight / CCI weight / Stoch weight ::.
Weight control coefficients for RSI and CCI indicators, respectively. When you set RSI Weight = 0, equalize the combo of CCI and Stoch , when RSI Weight is zero and CCI Weight is equal to the oscillator value will be plotted
only from Stoch . Intermediate values have a high degree of measurement of each of the three oscillators in percentage terms from 0 to 100. The calculation uses the formula: w2 * cci ( + w1 * ( rsi - 50) + (1 - w2 - w1) * ( stoch - 50),
where w1 is RSI Weight and w2 is CCI Weight, Stoch weight is calculated on the fly as (1 - w2 - w1), so the sum of w1 + w2 should not exceed 1, in this case Stoch will work as opposed to CCI and RSI .
.:: Oscillograph fast and slow periods ::.
The fast period is the period for the moving average used to smooth CCI, RSI and Stoch. The slow period is the same. The fast period must always be less than the slow period.
.:: Oscillograph samples period::.
The period of smoothing the total values of indicators - creates a fast and slow main lines of the oscillator.
.:: Oscillograph samples count::.
How many times smoothing applied to source data.
.:: Oscillator samples type ::.
Smoothing line type e.g. EMA, SMA, RMA …
.:: Level period ::.
Periodically moving averages used to form the levels (zone) of the Rainbow Oscillator indicator
.:: Level offset ::.
Additional setting for shifting levels from zero points. Can be useful for absorbing levels and filtering input signals. The default is 0.
.:: Level redundant ::.
It characterizes the severity of the state at each iteration of the level of the disease. If set to 1 - the levels will not decrease when the oscillator values fall. If it has a value of 0.99 - the levels are reduced by 0.01
each has an oscillator in 1% of cases and is pressed to 0 by more aggressive ones.
.:: Level smooth samples ::.
setting allows you to set the number of strokes per level. Measuring the number of averages with the definition of the type of moving averages
.:: Level MA Type ::.
Type of moving average, average for the formation of a smoothing overbought and oversold zone
Ribbon % OF stocks above 20/50/100/200 DayMA S&P500Moving average ribbon of % stocks above 20/50/100/200 Day moving average in th S&P500. Directional color. Pretty good indicator for big bottoms. Tops - not so much. use 1D timeframe.
VuManChu Cipher B + Divergences StrategyA Strategy using VuManChu Cipher B + Divergences for backtesting purpose.
Modified StochasticThis Oscillator using RMA smoothing. Feel free to explore and enjoy. Any suggestion, please leave comment.
L'MACD GUNHi all!
I would like to present you my universal MACD module.
In addition to the standard functions I have added several improvements:
Source Selection.
In addition to the standard calculation of the moving average "EMA", in the parameter "MA Type" I have added 52 more methods for calculating the MA! :
ADXMA, AHMA, ALF, ALMA, ARI, ARSI, BlackFilter, CTI, DoubleEma, DTA, DWMA, EEO, EHMA, ELA, EMARSI, EREA, HEMA, hma, HWMA, JAMA, KA, KAMA, LSMA, LWMA, McGinley_2, MNMA, PAW, REMA, rma, RMF, RMTA, RWMA, sma, SMMA, SuperSmooth, THMA, TilsonT3, TMA, TRAMA, TripleEma, TSF, VAMA, VAR, VHMA, VIDYA, VVMA, vwma, WCD, wma, WWMA, ZEMA, ZLMA !
Additional histogram and lines from the higher timeframe. With the parameter "Multiple of TF" you can specify on which timeframe the standard histogram should be zoomed.
The Zoom function allows increasing or decreasing the size of the histogram. (It does not affect the calculations in any way, it is only used for visualization purposes.)
How to use it?
I recommend using it as a standard MACD. You can test different types of moving averages thanks to my modules and choose the one you find most suitable.
Tips:
The script is slightly heavy and may take a little longer to load than usual.
All MA types are in alphabetical order and tied to numbers.
Next to the "MA Type" parameter there is a hint which method of calculating MA corresponds to the figure. The default is 15. In the hint 15 = EMA. This is the standard method of calculating the MAСD.
To select the MA more quickly. You can switch them with the mouse wheel or the arrows on the keyboard.
I use the standard parameters prescribed in the script.
The code is calibrated for any TF and displays as correctly as possible. Can be used on any type of chart.
Adaptive Oscillator constructor [lastguru]Adaptive Oscillators use the same principle as Adaptive Moving Averages. This is an experiment to separate length generation from oscillators, offering multiple alternatives to be combined. Some of the combinations are widely known, some are not. Note that all Oscillators here are normalized to -1..1 range. This indicator is based on my previously published public libraries and also serve as a usage demonstration for them. I will try to expand the collection (suggestions are welcome), however it is not meant as an encyclopaedic resource , so you are encouraged to experiment yourself: by looking on the source code of this indicator, I am sure you will see how trivial it is to use the provided libraries and expand them with your own ideas and combinations. I give no recommendation on what settings to use, but if you find some useful setting, combination or application ideas (or bugs in my code), I would be happy to read about them in the comments section.
The indicator works in three stages: Prefiltering, Length Adaptation and Oscillators.
Prefiltering is a fast smoothing to get rid of high-frequency (2, 3 or 4 bar) noise.
Adaptation algorithms are roughly subdivided in two categories: classic Length Adaptations and Cycle Estimators (they are also implemented in separate libraries), all are selected in Adaptation dropdown. Length Adaptation used in the Adaptive Moving Averages and the Adaptive Oscillators try to follow price movements and accelerate/decelerate accordingly (usually quite rapidly with a huge range). Cycle Estimators, on the other hand, try to measure the cycle period of the current market, which does not reflect price movement or the rate of change (the rate of change may also differ depending on the cycle phase, but the cycle period itself usually changes slowly).
Chande (Price) - based on Chande's Dynamic Momentum Index (CDMI or DYMOI), which is dynamic RSI with this length
Chande (Volume) - a variant of Chande's algorithm, where volume is used instead of price
VIDYA - based on VIDYA algorithm. The period oscillates from the Lower Bound up (slow)
VIDYA-RS - based on Vitali Apirine's modification of VIDYA algorithm (he calls it Relative Strength Moving Average). The period oscillates from the Upper Bound down (fast)
Kaufman Efficiency Scaling - based on Efficiency Ratio calculation originally used in KAMA
Deviation Scaling - based on DSSS by John F. Ehlers
Median Average - based on Median Average Adaptive Filter by John F. Ehlers
Fractal Adaptation - based on FRAMA by John F. Ehlers
MESA MAMA Alpha - based on MESA Adaptive Moving Average by John F. Ehlers
MESA MAMA Cycle - based on MESA Adaptive Moving Average by John F. Ehlers , but unlike Alpha calculation, this adaptation estimates cycle period
Pearson Autocorrelation* - based on Pearson Autocorrelation Periodogram by John F. Ehlers
DFT Cycle* - based on Discrete Fourier Transform Spectrum estimator by John F. Ehlers
Phase Accumulation* - based on Dominant Cycle from Phase Accumulation by John F. Ehlers
Length Adaptation usually take two parameters: Bound From (lower bound) and To (upper bound). These are the limits for Adaptation values. Note that the Cycle Estimators marked with asterisks(*) are very computationally intensive, so the bounds should not be set much higher than 50, otherwise you may receive a timeout error (also, it does not seem to be a useful thing to do, but you may correct me if I'm wrong).
The Cycle Estimators marked with asterisks(*) also have 3 checkboxes: HP (Highpass Filter), SS (Super Smoother) and HW (Hann Window). These enable or disable their internal prefilters, which are recommended by their author - John F. Ehlers . I do not know, which combination works best, so you can experiment.
Chande's Adaptations also have 3 additional parameters: SD Length (lookback length of Standard deviation), Smooth (smoothing length of Standard deviation) and Power ( exponent of the length adaptation - lower is smaller variation). These are internal tweaks for the calculation.
Oscillators section offer you a choice of Oscillator algorithms:
Stochastic - Stochastic
Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic) by John F. Ehlers
CMO - Chande Momentum Oscillator
RSI - Relative Strength Index
Volume-scaled RSI - my own version of RSI. It scales price movements by the proportion of RMS of volume
Momentum RSI - RSI of price momentum
Rocket RSI - inspired by RocketRSI by John F. Ehlers (not an exact implementation)
MFI - Money Flow Index
LRSI - Laguerre RSI by John F. Ehlers
LRSI with Fractal Energy - a combo oscillator that uses Fractal Energy to tune LRSI gamma
Fractal Energy - Fractal Energy or Choppiness Index by E. W. Dreiss
Efficiency ratio - based on Kaufman Adaptive Moving Average calculation
DMI - Directional Movement Index (only ADX is drawn)
Fast DMI - same as DMI, but without secondary smoothing
If no Adaptation is selected (None option), you can set Length directly. If an Adaptation is selected, then Cycle multiplier can be set.
Before an Oscillator, a High Pass filter may be executed to remove cyclic components longer than the provided Highpass Length (no High Pass filter, if Highpass Length = 0). Both before and after the Oscillator a Moving Average can be applied. The following Moving Averages are included: SMA, RMA, EMA, HMA , VWMA, 2-pole Super Smoother, 3-pole Super Smoother, Filt11, Triangle Window, Hamming Window, Hann Window, Lowpass, DSSS. For more details on these Moving Averages, you can check my other Adaptive Constructor indicator:
The Oscillator output may be renormalized and postprocessed with the following Normalization algorithms:
Stochastic - Stochastic
Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic) by John F. Ehlers
Inverse Fisher Transform - Inverse Fisher Transform
Noise Elimination Technology - a simplified Kendall correlation algorithm "Noise Elimination Technology" by John F. Ehlers
Except for Inverse Fisher Transform, all Normalization algorithms can have Length parameter. If it is not specified (set to 0), then the calculated Oscillator length is used.
More information on the algorithms is given in the code for the libraries used. I am also very grateful to other TradingView community members (they are also mentioned in the library code) without whom this script would not have been possible.
DMI RSI AO 3 indicators in 1 overlayThis is simple indicators that plot 3 indicators DMI, RSI and AO on 1 pane
How to use: you can add on your chart and edit color and display in setting page of indicators
The directional movement index (DMI) is an indicator developed by J. Welles Wilder in 1978 that identifies in which direction the price of an asset is moving. The indicator does this by comparing prior highs and lows and drawing two lines: a positive directional movement line (+DI) and a negative directional movement line (-DI). An optional third line, called the average directional index (ADX), can also be used to gauge the strength of the uptrend or downtrend.
When +DI is above -DI, there is more upward pressure than downward pressure in the price. Conversely, if -DI is above +DI, then there is more downward pressure on the price. This indicator may help traders assess the trend direction. Crossovers between the lines are also sometimes used as trade signals to buy or sell.
The relative strength index (RSI) is a momentum indicator used in technical analysis that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is displayed as an oscillator (a line graph that moves between two extremes) and can have a reading from 0 to 100. The indicator was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”1
Traditional interpretation and usage of the RSI are that values of 70 or above indicate that a security is becoming overbought or overvalued and may be primed for a trend reversal or corrective pullback in price. An RSI reading of 30 or below indicates an oversold or undervalued condition.
Awesome Oscillator is developed by famous technical analyst and charting enthusiast Bill Williams. Awesome Oscillator (AO) is an indicator that is non-limiting oscillator, providing insight into the weakness or the strength of a stock. The Awesome Oscillator is used to measure market momentum and to affirm trends or to anticipate possible reversals. It does this by effectively comparing the recent market momentum, with the general momentum over a wider frame of reference.
BTC NVM Ratio - Onchain AnalysisIt is an onchain oscillator and is designed to operate at weekly timeframes and is only for Bitcoin.
Network Value to Metcalfe Ratio (NVM Ratio) is defined as the ratio of the log of market capitalization divided by the log of the square of daily active addresses in the specified window.
This oscillator evaluates bitcoin price according to the Metcalfe Ratio to shows whether the current value of Bitcoin is higher or lower than the real price
I made this comparison using a moving average of 100. The areas that are red in the weekly timeframe indicate that bitcoin is Overvalued. and The areas that are blue in the weekly timeframe indicate that bitcoin is undervalued.
AlphaTrendAlphaTrend is a brand new indicator which I've personally derived from Trend Magic and still developing:
In Magic Trend we had some problems, Alpha Trend tries to solve those problems such as:
1-To minimize stop losses and overcome sideways market conditions.
2-To have more accurate BUY/SELL signals during trending market conditions.
3- To have significant support and resistance levels.
4- To bring together indicators from different categories that are compatible with each other and make a meaningful combination regarding momentum, trend, volatility, volume and trailing stop loss.
according to those purposes Alpha Trend:
1- Acts like a dead indicator like its ancestor Magic Trendin sideways market conditions and doesn't give many false signals.
2- With another line with 2 bars offsetted off the original one Alpha Trend have BUY and SELL signals from their crossovers.
BUY / LONG when Alpha Trend line crosses above its 2 bars offsetted line and there would be a green filling between them
SELL / SHORT when Alpha Trend line crosses below its 2 bars offsetted line and filling would be red then.
3- Alpha Trend lines
-act as support levels when an uptrend occurs trailing 1*ATR (default coefficient) distance from bar's low values
-conversely act as resistancelevels when a downtrend occurs trailing 1*ATR (default coefficient) distance from bar's high values
and acting as trailing stop losses
the more Alpha Trend lines straighter the more supports and resistances become stronger.
4- Trend Magic has CCI in calculation
Alpha Trend has MFI as momentum, but when there's no volume data MFI has 0 values, so there's abutton to change calculation considering RSI after checking the relevant box to overcome this problem when there is no volume data in that chart.
Momentum: RSI and MFI
Trend: Magic Trend
Volatility: ATR,
Trailing STOP: ATR TRAILING STOP
Volume: MFI
Alpha trend is really a combination of different types...
default values:
coefficient: 1 which is the factor of trailing ATR value
common period: 14 which is the length of ATR MFI and RSI
Wish you all use AlphaTrend in profitable trades.
Kıvanç Özbilgiç
Stochastic/LSMA This is the Stochastic/LSMA Buy and Sell indicator. The Buy signal is generated when the %K line crosses up above the %D line from the stochastics while the signal candle is green and has come after a red candle. The Sell signal is generated when the %K line crosses down below the %D line from the stochastics while the signal candle is red and has come after a green candle. The default settings are %K Length is 5, the %K Smoothing is 3, and the %D Smoothing is 3 with the LSMA period being 30. I use this indicator to scalp 2 points at a time on the E-Mini (ES) on a 1 minute timeframe. I like to use a stop loss of 2 points and a target of 2 points. The LSMA helps to reduce fake signals and should also be used to see the overall trend. I hope this helps.
Money Flow Index With Bullish & Bearish SignalsMONEY FLOW INDEX WITH BULLISH AND BEARISH SIGNALS
Money Flow Index shows whether money is coming into the market or going out of the market. This can be used to gauge market sentiment and whether people are buying or selling at the current price.
***HOW TO USE***
If the MFI line is green, it is above the 50 line and in a bullish trend.
If the MFI line is red, it is below the 50 line and in a bearish trend.
If the background color is green, Money Flow is in a bullish trend, holding above the 50 line.
If the background color is red, Money Flow is in a bearish trend, holding below the 50 line.
If the MFI is above the 75 level it indicates a possible top or overbought conditions.
If the MFI is below the 25 level it indicates a possible bottom or oversold conditions.
***BULLISH/BEARISH LABELS***
There is also a label on the right side that tells you whether the overall trend is bullish or bearish, if there is a possible bottom or top and if the current money flow index is going up or down. This table updates in real time and changes colors so you can get an easy, quick interpretation of the current money flow without having to look at the data so you can make faster decisions on whether to enter or exit a trade. The flashing from red to green or the opposite also grabs your attention so you know immediately if there is a change in trend. The table changes colors in sync with the MFI line and it's trends and bottom/top areas. Green means money is coming in. Red means money is going out. Blue means a neutral amount of money flow.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This Money Flow Index indicator can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, DMI, Momentum, Auto Support And Resistance and Volume Profile in combination with this Money Flow Index. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
RSI ScalpinThis is a test script for personal use only. A oscillator of Stochastic and DMI to catch buy and sell signal
Muyyu oscillatorMuyyu oscillator(MO) is a combination of price based momentum and volume based momentum. MO consist of two things which is MO line and MO bar.
MO Line can be used to identify overbought and oversold situations. However, it is important to know when to look for overbought readings and when to look for oversold readings. As with most momentum oscillators, it is best to look for short-term oversold situations when the medium-term trend is up and short-term overbought situations when the medium-term trend is down. In other words, look for opportunities in the direction of the bigger trend, such as a pullback within a bigger uptrend. Define the bigger trend before looking for overbought or oversold readings.
MO Line quantifies the relationship between price and Bollinger Band. Readings above .80 indicate that price is near the upper band. Readings below .20 indicate that price is near the lower band. Surges towards the upper band show strength, but can sometimes be interpreted as overbought(divergence). Plunges to the lower band show weakness, but can sometimes be interpreted as oversold(Divergence). A lot depends on the underlying trend and other indicators. While MO Line can have some value on its own, it is best when used in conjunction with other indicators or price analysis.
MO Line = (Price - Lower Band)/(Upper Band - Lower Band)
The default setting for MO Line is (21,2). The bands are set 2 standard deviations above and below the 21-day simple moving average.
MO bar is a Money Flow Index(MFI) divide by 100.
MFI is a momentum indicator that measures the flow of money into and out of a security over a specified period of time. It is related to the Relative Strength Index (RSI) but incorporates volume, whereas the RSI only considers price. The MFI is calculated by accumulating positive and negative Money Flow values, then creating a Money Ratio. The Money Ratio is then normalized into the MFI oscillator form.
Combine this two to find where you will find a perfect entry for trend following. For example ;
a trend-following system using MO line with the MO bar. An uptrend begins when MO line is above 1 and MO bar is above 0.8(green bar). MO bar is bound between zero and one. A move above .80 places MO bar in the upper 20% of its range, which is a strong reading. Downtrends are identified when MO line is below 0 and MO bar is below 0.2.
ETH Gravity OscillatorThis indicator is a deviation of a Center of Gravity Oscillator corrected for the diminishing returns of Ethereum.
I've set up this indicator for it to be used on the weekly timeframe . The indicator oscillates between 0 and 10, where 0 indicates oversold conditions and 10 indicates overbought conditions. What is interesting is that it is not particularly ideal for identifying market cycle tops, but generally picks out the most euphoric region in the initial parabolic rally. Good to potentially keep in mind if there is a second bounce to the peak!
The indicator plots in any ETH charts. It paints in all time frames, but Weekly time frame is the correct one to interpret the 'official' read of it.
Made at the request of a kind commenter. If you would like to request different derivations of this script be sure to let me know!