Momentum adjusted Moving Average by DGTA brand new Moving Average , calculated using Momentum, Acceleration and Probability (Psychological Effect).
Momentum adjusted Moving Average(MaMA) is an indicator that measures Price Action by taking into consideration not only Price movements but also its Momentum, Acceleration and Probability. MaMA, provides faster responses comparing to the regular Moving Average
Here is the math of the MaMA idea
Momentum measures change in price over a specified time period
momentum = source – source(length)
where,
source, indicates current bar’s price value
source(length), indicates historical price value of length bars earlier
Lets play with this formula and rewrite it by moving source(length) to other side of the equation
source = source(length) + momentum
to avoid confusion let’s call the source that we aim to predict as adjustedSource
adjustedSource = source(length) + momentum
looks nice the next value of source simply can be calculated by summing of historical value of the source value and value of the momentum. I wish it was so easy, the formula holds true only when the momentum is conserved/constant/steady but momentum move up or down with the price fluctuations (accelerating or decelerating)
Let’s add acceleration effects on our formula, where acceleration is change in momentum for a given length. Then the formula will become as (skipped proof part of acceleration effects, you may google for further details)
adjustedSource = source(length) + momentum + 1/2 * acceleration
here again the formula holds true when the acceleration is constant and once again it is not the case for trading, acceleration also changes with the price fluctuations
Then, how we can benefit from all of this, it has value yet requires additional approaches for better outcome
Let’s simulate behaviour with some predictive approach such as using probability (also known as psychological effect ), where probability is a measure for calculating the chances or the possibilities of the occurrence of a random event. As stated earlier above momentum and acceleration are changing with the price fluctuations, by using the probability approach we can add a predictive skill to determine the likelihood of momentum and acceleration changes (remember it is a predictive approach). With this approach, our equations can be expresses as follows
adjustedSource = source(length) + momentum * probability
adjustedSource = source(length) + ( momentum + 1/2 * acceleration ) * probability , with acceleration effect
Finally, we plot MaMA with the new predicted source adjustedSource, applying acceleration effect is made settable by the used from the dialog box, default value is true.
What to look for:
• Trend Identification
• Support and Resistance
• Price Crossovers
Recommended settings are applied as default settings, if you wish to change the length of the MaMA then you should also adjust length of Momentum (and/or Probability). For example for faster moving average such as 21 period it would be suggested to set momentum length to 13
Alternative usage , set moving average length to 1 and keep rest lengths with default values, it will produce a predictive price line based on momentum and probability. Experience acceleration factor by enabling and disabling it
Conclusion
MaMA provide an added level of confidence to a trading strategy and yet it is important to always be aware that it implements a predictive approach in a chaotic market use with caution just like with any indicator
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Prediction
Elliott Wave Oscillator Signals by DGTElliott Wave Principle , developed by Ralph Nelson Elliott, proposes that the seemingly chaotic behaviour of the different financial markets isn’t actually chaotic. In fact the markets moves in predictable, repetitive cycles or waves and can be measured and forecast using Fibonacci numbers. These waves are a result of influence on investors from outside sources primarily the current psychology of the masses at that given time. Elliott wave predicts that the prices of the a traded currency pair will evolve in waves: five impulsive waves and three corrective waves. Impulsive waves give the main direction of the market expansion and the corrective waves are in the opposite direction (corrective wave occurrences and combination corrective wave occurrences are much higher comparing to impulsive waves)
The Elliott Wave Oscillator (EWO) helps identifying where you are in the 5-3 Elliott Waves, mainly the highest/lowest values of the oscillator might indicate a potential bullish/bearish Wave 3. Mathematically expressed, EWO is the difference between a 5-period and 35-period moving average based on the close. In this study instead 35-period, Fibonacci number 34 is implemented for the slow moving average and formula becomes ewo = ema(source, 5) - ema(source, 34)
The application of the Elliott Wave theory in real time trading gets difficult because the charts look messy. This study (EWO-S) simplifies the visualization of EWO and plots labels on probable reversals/corrections. The good part is that all plotting’s are performed on the top of the price chart including a histogram (optional and supported on higher timeframes). Additionally optional Keltner Channels Cloud added to help confirming the price actions.
What to look for:
Plotted labels can be used to follow the Elliott Wave occurrences and most importantly they can be considered as signals for possible trade setup opportunities. Elliott Wave Rules and Fibonacci Retracement/Extensions are suggested to confirm the patters provided by the EWO-S
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Squeeze Momentum Indicator [LazyBear] vX by DGTModified version of Squeeze Momentum Indicator visualizing on Price Chart
author: LazyBear, modified by KıvançÖZBİLGİÇ
[RS]predict player directionExperimental:
adapted from classical game movement prediction algo and how a crude recursive error classifier can be applied..
RSI Correlation with future priceThis script measures the correlation of the hourly RSI of 24 hours ago with the difference of price between now and the price 24 hours ago. In other words, this is an indicator which measures the predictive power of the RSI.
Green means that the price is strongly correlated with the past RSI (which is the normal state when the market is flat and there is no news).
Red means that the price is inversely correlated with the past RSI.
The hourly RSI is a leading indicator which enables you to (sort of) see into the future. It shows you how the current price is, compared to the price 24 (or 48) hours into the future.
If the RSI is low, it means the current price is low compared to the future price, and if the RSI is high, it means the current price is high compared to the future price.
So the hourly RSI really correlates (in the way I described) to the price 24 hours in the future.
Except when it doesn't!!!
What happens when the correlation breaks (RED on this indicator)? Usually there are important news - a strong signal external to the chart. There are either economy at large news, or security-specific news.
Following a strong break of this RSI-future price correlation, some cash can be made by understanding what happened and playing the restoration of the RSI-price correlation.
Magic 8-Ball [QuantNomad]Sometimes get tired and what to create something fun and useless )
Here I developed a magic 8-ball. You can apply it to the chart, and it randomly will show you a prediction unique for your symbol/candle time.
Please don't take this prediction seriously; there is 0 rationale behind it. However, I believe it can outperform some traders here on TradginView =)
So it will show you one of the following messages:
Buy
Strong Buy
HODL
Sell
Strong Sell
Ask again later
Better not tell you now
Neutral
Cannot predict now
Very doubtful
Running Average [EXPERIMENT]Predicting the future has nothing to do with trading, understanding your indicator and knowing how to use it does.
Probably not the most efficient code, oh well..
Let me know if it's useful :)
Grand Trend Forecasting - A Simple And Original Approach Today we'll link time series forecasting with signal processing in order to provide an original and funny trend forecasting method, the post share lot of information, if you just want to see how to use the indicator then go to the section "Using The Indicator".
Time series forecasting is an area dealing with the prediction of future values of a series by using a specific model, the model is the main tool that is used for forecasting, and is often an expression based on a set of predictor terms and parameters, for example the linear regression (model) is a 1st order polynomial (expression) using 2 parameters and a predictor variable ax + b . Today we won't be using the linear regression nor the LSMA.
In time series analysis we can describe the time series with a model, in the case of the closing price a simple model could be as follows :
Price = Trend + Cycles + Noise
The variables of the model are the components, such model is additive since we add the component with each others, we should be familiar with each components of the model, the trend represent a simple long term variation of high amplitude, the cycles are periodic fluctuations centered around 0 of varying period and amplitude, the noise component represent shorter term irregular variations with mean 0.
As a trader we are mostly interested by the cycles and the trend, altho the cycles are relatively more technical to trade and can constitute parasitic fluctuations (think about retracements in a trend affecting your trend indicator, causing potential false signals).
If you are curious, in signal processing combining components has a specific name, "synthesis" , here we are dealing with additive synthesis, other type of synthesis are more specific to audio processing and are relatively more complex, but could be used in technical analysis.
So what to do with our components ? If we want to trade the trend, we should estimate right ? Estimating the trend component involve removing the cycle and noise component from the price, if you have read stuff about filters you should know where i'am going, yep, we should use filters, in the case of keeping the trend we can use a simple moving average of relatively high period, and here we go.
However the lag problem, which is recurrent, come back again, we end up with information easier to interpret (here the trend, which is a simple fluctuation such as a line or other smooth curve) at the cost of decision timing, that is unfortunate but as i said the information, here the moving average output, is relatively simple, and could be easily forecasted right ? If you plot a moving average of high period it would be easier for you to forecast its future values. And thats what we aim to do today, provide an estimate of the trend that should be easy to forecast, and should fit to the price relatively well in order to produce forecast that could determine the position of future closing prices observations.
Estimating And Forecasting The Trend
The parameter of the indicator dealing with the estimation of the trend is length , with higher values of length attenuating the cycle and noise component in the price, note however that high values of length can return a really long term trend unlike a simple moving average, so a small value of length, 14 for example can still produce relatively correct estimate of trend.
here length = 14.
The rough estimate of the trend is t in the code, and is an IIR filter, that is, it is based on recursion. Now i'll pass on the filter design explanation but in short, weights are constants, with higher weights allocated to the previous length values of the filter, you can see on the code that the first part of t is similar to an exponential moving average with :
t(n) = 0.9t(n-length) + 0.1*Price
However while the EMA only use the precedent value for the recursion, here we use the precedent length value, this would just output a noisy and really slow output, therefore in order to create a better fit we add : 0.9*(t(n-length) - t(n-2length)) , and this create the rough trend estimate that you can see in blue. On the parameters, 0.9 is used since it gives the best estimate in my opinion, higher values would create more periodic output and lower values would just create a rougher output.
The blue line still contain a residual of the cycle/noise component, this is why it is smoothed with a simple moving average of period length. If you are curious, a filter estimating the trend but still containing noisy fluctuations is called "Notch" filter, such filter would depending on the cutoff remove/attenuate mid term cyclic fluctuations while preserving the trend and the noise, its the opposite of a bandpass filter.
In order to forecast values, we simply sum our trend estimate with the trend estimate change with period equal to the forecasting horizon period, this is a really really simple forecasting method, but it can produce decent results, it can also allows the forecast to start from the last point of the trend estimate.
Using The Indicator
We explained the length parameter in the precedent section, src is the input series which the trend is estimated, forecast determine the forecasting horizon, recommend values for forecast should be equal to length, length/2 or length*2, altho i strongly recommend length.
here length and forecast are both equal to 14 .
The corrective parameter affect the trend estimate, it reduce the overshoot and can led to a curve that might fit better to the price.
The indicator with the non corrective version above, and the corrective one below.
The source parameter determine the source of the forecast, when "Noisy" is selected the source is the blue line, and produce a noisy forecast, when "Smooth" is selected the source is the moving average of t , this create a smoother forecast.
The width interval control...the width of the intervals, they can be seen above and under the forecast plot, they are constructed by adding/subtracting the forecast with the forecast moving average absolute error with respect to the price. Prediction intervals are often associated with a probability (determining the probability of future values being between the interval) here we can't determine such probability with accuracy, this require (i think) an analysis of the forecasting distribution as well as assumptions on the distribution of the forecasting error.
Finally it is possible to see historical forecasts, that is, forecasts previously generated by checking the "Show Historical Forecasts" option.
Examples
Good forecasts mostly occur when the price is close to the trend estimate, this include the following highlighted periods on AMD 15TF with default settings :
We can see the same thing at the end of EURUSD :
However we can't always obtain suitable fits, here it is isn't sufficient on BTCUSD :
We can see wide intervals, we could change length or use the corrective option to get better results, another option is to use a log scale.
We will end the examples with the log SPX, who posses a linear trend, so for example a linear model such as a linear regression would be really adapted, lets see how the indicator perform :
Not a great fit, we could try to use an higher length value and use "Smooth" :
Most recent fits are quite decent.
Conclusions
A forecasting indicator has been presented in this post. The indicator use an original approach toward estimating the trend component in the closing price. Of course i should have given statistics related to the forecasting error, however such analysis is worth doing with better methods and in more advanced environment allowing for optimization.
But we have learned some stuff related to signal processing as well as time series analysis, seeing a time series as the sum of various components is really helpful when it comes to make sense of chaotic and noisy series and is a basic topic in time series analysis.
You can see that in this new year i work harder on the visual of my indicators without trying to fall in the label addict trap, something that i wasn't really doing before, let me know what do you think of it.
Thanks for reading !
Bitcoin Difficulty Model [aamonkey]This is a model to calculate Bitcoin price based on Difficulty.
How to calculate it:
BDM = (difficulty^0.51) * 0.002
For the difficulty, the daily average is used.
EURUSD 5 Minute Binary Strategy by Emiliano Mesa 73% Win RatioEURUSD Binary Strategy 73% Win Ratio.
-----Free 5 Day Trial-----
¿How it works?
This is a binary indicator, meaning it may be only
used for EURUSD options. Its use is simple:
1) Wait for the blue background to appear, this
means a possible trade may be upcoming
2) Wait for the purple background to appear, this
is our entry. And enter in the suggested direction
by the arrows after the close of the bar
3) Establish your expiration bar the # of
bars missing in the white area (which are 3 bars
per area) + 1 bar of the yellow area
for instance:
- Each background color both blue and yellow, have
the same ammount of bars in between (3), and so
does the white space between them, each bar is 5
minutes. In this case we are given an entry 1 bar
later, so 5 miutes inside our whitespace. Saying
so there are 2 bars left inside our white area, plus
one yellow bar, which means our expiration time
is 15 minutes since Entry to exit!
Wohooo! PROFIT!
Go ahead and send me a PRIVATE MESSAGE or EMAIL
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Acmillions88 Binary Prediction 1For those who followed me, I have good news for you.
I went into binary options.
The key to binary options is to predict the next candle,
here's a script with high success rate.
Tested on EURUSD 1min.
When the green or red line didn't touch any candle body for a period of time,
then it touches a candle's body.
If the candle is green, a red one is coming soon,
most likely is the next one.
If the candle is red, a green one is coming soon,
most likely is the next one.
Important to note that when the line crosses the body of the candle, it has to be slanted,
meaning the line has to be going up or down.
Please don't ask me why and how it works. Its a secret.
Cheers.
Magick CloudA leading indicator that predicts future price action and shows support and resistance.
Magick Cloud projects 21 bars into the future and uses Fibonacci to predict the targets.
A refreshed version of sKrypt Cloud made by @writner.
Created after testing ~8693 script versions in total and a month of hard work.
Confluence Zone Calculation for Support in Bullish TendsConfluence Zone Calculation for Support in Bullish Tends
(or Restance in bearish ones)
Ever wondered why sometimes the zag of an Elliot Wave zigzag is stopped after just a few points?
(Like in the given Chart where I draw a line for a typical zag action.)
It has often to do with confluence Zones. Most people think that the lower edge of a narrow range, repeated a few times, creates big support - confluence zones are stronger.
You can make them visible by getting fibonaccis from just one specific high to several different significant lows (for example the range lines mentioned above). The areas where significant lows and their fibos appear very close together are confluence zones. They can brake a falling price like a security net.
This script caluculates Confluence zones for you by using a second useful "secret": the secret that signifant lows test or create temporal rsi lows (vice-verse with highs).
The thicker (non-aqua clored)lines show actual lows, are corresponding with those rsi lows, the thinner are fibo lines deriving from them. (The white line stands for the high taken for the calculation.)
Note: Only those lines are valid which reach to the actual last bar.
Best practise is to let the script calculate,then redraw your lines of interest by hand and get rid of the rest of the spider web-like turmoil of lines by deleting the script from the chart.
Note further: I had to omit some calculations, because otherwise calculation time gets too long for TV and it stops with calculation Time out. (For your transparency I calculated all fibo codes but skipped some in "sline"-function; the number-suffix makes a jump when i omit a value ).
Note further further: Resistance confluence lines for bullish trends need a different script, because if you do it totally right vou in this case work from a single LOW of your interes t.
I hope it enriches your knowledge and is a help for your studies and tradings.
Feedback and Questions welcome
yoxxx
Triple MA 5-period forecast [Siem]This script calculates 3 MAs and forecasts where these MAs will be in the next 5 future periods.
Automatic mode - price will be based on current price ("flat") or an X-period linear regression ("linreg").
Manual mode - enter your own value('s): let's see where the MA's will be when your favourite equity all of a sudden hits 1 million tomorrow!
based on Triple MA Forecast by yatrader2 , idea by anthnyl
Displaced Moving Average by Atilla YurtsevenPlease visit www.investopedia.com for more information about Displaced Moving Average.
You can choose your favorite moving average from the list: "SMA, EMA, WMA, RMA, VWMA, VWAP, Linear or Rank"
I have also added 3rd DMA which can be disabled.
I urge you to use the Forecast mode. But feel free to find the best that fits your needs.
FYI: This is not financial advice.
Trade safe,
Atilla Yurtseven
Morphed Sine WaveIntroduction
If you rescale a sine wave to the price you will need to correlate it with it in order to show good results, today i present a different method that does not involve correlation to "morph" a sine wave to the price in order to provide forecast's and highlight market periodic patterns.
Parameters
length control the period of the sine wave, power control the "morphing" amount, if you see for example that the results are going nuts try to increase power , if the results are just the price and the delayed price try to decrease power .
power = 1
power = 100
Those settings might be different depending on which market you are in.
Various Uses
You can do a lot of things with this indicator, use filters as source :
Use the indicator as source for oscillators in order to create cycles indicators :
And certainly many more things
Conclusion
I presented a way to morph a sine wave to the price i order to highlight cycles. You can use any function that return a value between -1 and 1 instead of sin , this can be a scaled rsi/stochastic or correlation coefficient, its up to you :)
If you need help don't hesitate to commend or pm me. I hope you will like the indicator and that it will inspire you to make great things.
Thanks for reading !
TJ-Bitmex Funding RateWelcome back to another indicator of the TJ-Series
All indicators I publish, are based on existing indicator ideas just modified and in the selection of a CryptoCurrency Day Trader
This indicator emulates BitMEX funding rates with reasonably accurate results.
I have made a YouTube Video on my channel "TJ Trade Corner" explaining Funding Rates and how each of them work and what these are based on.
There is a google form link in the description, which when filled out correctly will grant you permission to this indicator.
BitMEX funding occurs every 8 hours at 4:00 UTC, 12:00 UTC and 20:00 UTC.
You pay the funding rate if you are in a position at funding time.
The funding rate is predicted from the minute funding occurs over 480 minutes (8 hours).
After 8 hours, which is another funding time, the predicted rate is set as the next funding rate, which will be paid 8 hours later at the next funding time.
For example:
It is 4:00 UTC and funding is paid, and there is currently a predicted rate of 0.01.
The predicted rate, 0.01, will be set as the next funding rate which will be paid in 8 hours at the next funding time.
The predicted rate resets and will become a more accurate prediction each minute.
Funding Rate Bar: On the bar on which funding is paid (see funding times), a column is rendered with the value of the paid funding rate.
Next Funding Rate: The rendered circles show the next funding rate, which will be the value of the Funding Rate Bar
Predicted Funding Rate: The rendered line is the predicted funding rate that resets when funding is paid.
Daily, Weekly, and Monthly views show the total of fundings within the bar.
i.e. a daily bar contains 3 funding periods, so if funding were 0.1 each of those times, the daily funding is 0.3.
There are 21 funding periods in a week, so a week during which the funding was 0.1 on average will have a Weekly bar with a funding value of 2.1
PRINTED VALUES
Predicted Funding Rate | Next Funding Rate | Funding Rate Bar
OPTIONS
Contract: Choose the BitMEX perpetual swap contract for which to emulate funding. XBTUSD or ETHUSD
This Indicator and the video have been published before in my private learning group "ETG".
We are going over many observations and possible trades very frequently.
It is meant for only those who are really interested in becoming a self sufficient trader and learning about all the secrets of trading.
Should you be interested in ETG or the indicators I use, join my discord channel and say hi in chat, then I will give you a free trial for which you might be interested.
Like and Follow me and you will find the space interesting because I am a TA expert and professional day trader in crypto since 2012 that does daily updates and new posts about the hottest and most discussed coins.
Cheers TJ
HurricaneThe Hurricane Indicator
This Indicator takes the traditional Ichimoku and expands it's capabilities to a whole new level.
It is a trend based trading indicator that utilises equilibrium calculations from multiple time frames, to reveal areas of support, resistance, strength, weakness, acceleration and momentum throughout the various bull and bear market trends.
By using the three components of the Hurricane together (or individually), it presents the entire picture of micro, mid-term and macro trends, enabling the trader to scalp price movements on a smaller time frame whilst keeping an eye on the larger trend.
For a full write up on what it does and the explained settings follow this link:
docs.google.com
Add this to your favorites, then send me a message through Trading View and I'll grant you temporary access to try it out.
To continue using it after the trial period, send me a message.
BTC: 13UKYNt4AAz2Yh2Suu6AAEWoUEiRVjqC12
LTC: LX4bUBdjiRPsagUbZoAczSGgDC4YqTJL7w
DepthHouse Exponential CandlesThis EMA Candles indicator use the price movement between two user selected Exponential Moving Averages to help determine the current trend.
As of release, there are 5 possible bar color outputs, all of which are shown in the legend above.
The Five Electable Color Outputs:
Uptrend; Strong Uptrend; Downtrend; Strong Downtrend; n/a
I hope you all enjoy!
Please leave your suggestions in the comments below!
Pivot Point Daily prediction bitcoin - by Simon-RoseThis is an additional Script to my recent Pivot Point indicator scripts which will show you the next days pivot points based on the actual price range.
This is useful if you are trading right before a new day and want to know how the next bdays pivot points may be placed.
If you have any questions or suggestions pls write me :)
Happy trading
Cheers
Daily Pivots:
Weekly Version:
Monthly Version:
Moving Average PredictionFeatures:
This script could predict future moving average price based on statistic methods.
Getting Started:
Add this indicator to your chart and you'll see the future price.
There are two kinds of algorithms: progression & regression.
Contributing:
You can report bugs or issues under this page.
Any advice would be helpful for improving this indicator's accuracy.
HoltsMethodHolt's method (see: otexts.com)
Holt (1957) extended simple exponential smoothing to allow the forecasting of data with a trend.
This method involves a forecast equation and two smoothing equations (one for the level and one for the trend):
Forecast equation: ŷ = l + h * b
Level equation: l = alpha * y + (1 - alpha) * (l + b )
Trend equation: b = beta * (l - l ) + (1 - beta) * b
where h is a step forward or lookahead
Hull MA BarsThis indicator fill bars with color of HullMA + warning yellow bars, then trend reversing