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Moving Average CrossNote: This is just an idea, I did not test this for trading. MA Cross normally uses close as source in the moving averages, this script uses highs and lows as source. In an uptrend you will see the 20 period high EMA and 50 period low EMA, once they cross, the indicator will switch to 20 period low EMA and 50 period high EMA. This gives it way less fake crosses as you see in the image on BTC. As i said above, this is just an idea. If you change the settings, they might not cross at all.. so do your own testing. Hope this code can help someone.
Pine Script™ indicator
by EvoCrypto
3
MultiType Shifting Predictive Moving Averages (MA) CrossoverJust 2 Moving Averages with adjustable settings and shifting capability, plus signals and predicting continuations. At the time of publish these different types of MAs are supported: - SMA (Simple) - EMA (Exponential) - DEMA (Double Exponential) - TEMA (Triple Exponential) - RMA (Adjusted Exponential) - WMA (Weighted) - VWMA (Volume Weighted) - SWMA (Symmetrically Weighted) - HMA (Hull) I'm looking forward to any idea about filtering the signals. Thanks.
Pine Script™ indicator
by informanerd
26
Price Distance to its MA by DGTPrices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement as stated in an Article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management Here comes a study to indicate the idea of this article, Price Distance to its Moving Averages (P/MA Ratio) The analysis expressed in the paper indicates that there is a connection between the distance of the prices to moving averages and subsequent returns : portfolios of stocks with lower prices to moving averages generally outperformed portfolios of stocks with higher prices to moving averages. This “overextended” effect is more pronounced when using shorter moving averages of 20 and 50 days, and is especially strong in short-term holding periods like one and two weeks. The highest annual returns are recorded when buying in the range of 0-5% below shorter moving averages of 20/50 days, and 0-10% below longer moving averages of 100/200 days. However, buying very far below almost all moving averages on almost all holding periods produces the lowest returns. The concept of this study recognizes three different modes of action. In a clearly established upward trend traders should be buying when prices are near or below the MA line and selling when prices move too far above the MA. Conversely, in downward trend stocks should be shorted when reaching or going above the moving average and covered when they drop too far below the MA line. In a sideways movement traders are advised to buy if the price is too low below the moving average and sell when it goes too far above it Short-term traders can expect to outperform in a one or two week time window if buying stocks with lower prices compared to their 20 and 50 SMA/EMA, one to two-week holding periods is quite high, ranging from 72,09% to 90,61% for the SMA(20, 50) and 85,03% to 87,5% for the EMA(20, 50). The best results for the SMA 20 and 50, on average, are concentrated in the region of 0-5% below the MA for the majority of holding periods. Buying very far below almost all MA in almost all holding periods turns out to be the worst possible option Candle patterns, momentum could be used in conjunction with this indicator for better results. Try Colored DMI and Ichimoku colored SuperTrend by DGT
Pine Script™ indicator
by dgtrd
41
MA-KIRILDIM-SANAThis is a lower block indicator. It helps us to follow the moving average crosses in the lower section in a single indicator without adding any moving averages in the main window. When MA1 breaks MA2 up, the background color turns green or otherwise, the background becomes red. If you want, you can follow the lines of moving averages in here. Three averages can be used in the system. - SMA(Simple Moving Average) - EMA(Exponential Moving Average) - WMA(Weighted Moving Average) Thanks
Pine Script™ indicator
by Hassonya
11
Moving Averages Convergence (Agulhada do Didi)The script is based on a strategy developed by Odir “Didi” Aguiar called “Agulhada do Didi”. It consists in the use of 3 moving averages: SMA 3 SMA 8 SMA 21 Strategy: When the averages come together, preferably they pass through a candle, there is a signal. The crossing of the short average (3) with the long average (21) provides us with a confirma-tion of the entry. Buy: The average of 3 periods comes out on top, 8 goes in the middle and 21 goes down. Sell: Average of 21 periods comes out on top, 8 in the middle and 3 down.
Pine Script™ indicator
by LucasZancheta
2
ApopheniaPays Crossing detector & 2-field date/time entryYou specify a horizontal line by value, start date/time, and end date/time, and choose a data source (bar close is the default) and it will label count how many times that source crosses that line between those dates/times. Enter the start and end dates for your horizontal line as MMDDYY and HHMM (24 hour time). : Jan 17, 2020 would be 11720 (properly it would be 011720, but Pine inputs delete leading 0s). : November 17, 2020 would be 110720. : 8:30 AM would be 0830. : 8:30 PM would be 2030. Remember to enter the right time zone. I believe nobody else has published a 2-input date/time picker on TV, at least the last time I checked they hadn't, they all make you input M,D,Y,H,M as separate fields. Ugh! If you use any parts of this code, please credit me. If somehow you happen to make a lot of money using this code, please think about what a fair share would be to pay me for my help, then give that amount to a worthwhile charity.
Pine Script™ indicator
by ApopheniaPays
ALMA Crossover [FXPDM] I created this new version of EMA crossing by replacing it with ALMA, Please take into consideration that the cross signal may occur during the candle. I advise waiting until the candle is close. I used EMA crossing signals to adapt this code and turn it into an ( Arnaud Legoux Moving Average) ALMA Cross. I expect it to bring a better signal that an EMA cross, let me know your comments and use under your own risk. this is just an experimental idea. Long: Get into a long trade when the short moving average crosses up the long moving average. Short: Get into a short trade when the short moving average crosses down the long moving average. I recommend using it alongside a volume indicator to avoid sideways trends. Exit at your own convenience or when the trend direction changes. I recommend using it in 4H and 1D charts.
Pine Script™ indicator
by FXPDM
4
On Balance Volume with CrossOBV indicator with a few key changes that can turn it into a filter or trading indicator as-is. Volume calculation given a look-back to help clarify trends without smoothing lag Change the source (HLC3 indicates a little faster in backtesting) Smooth the signal if desired Moving average (MA) added for crossover indication in trend change MA can be either EMA or HMA** ** My personal use: EMA for trend filtering trades: Trade long signals if OBV is above the MA, trade short signals if OBV is below the MA. HMA for scalping and chop: Normally set the HMA to 20 or 15 and trade the crosses. Works on most time frames and generates a lot of noise. 5 min and 15 min seems best for me in day trading Example of trend trading using only the OBV-C and no other indicators, stops, or trailing stops: This could obviously be improved using stops, trailing stops, or other indicators to filter when to enter & exit trades or mitigate loss. Example of trading using the HMA and lower time frames with Elder's Force Index (EFI) used as a filter. Trade with both cross at or very near the same time. Winning trades in green:
Pine Script™ indicator
by fauxlife
3
Parametric Corrective Linear Moving AveragesImpulse responses can fully describe their associated systems, for example a linearly weighted moving average (WMA) has a linearly decaying impulse response, therefore we can deduce that lag is reduced since recent values are the ones with the most weights, the Blackman moving average (or Blackman filter) has a bell shaped impulse response, that is mid term values are the ones with the most weights, we can deduce that such moving average is pretty smooth, the least squares moving average has negative weights, we can therefore deduce that it aim to heavily reduce lag, and so on. We could even estimate the lag of a moving average by looking at its impulse response (calculating the lag of a moving average is the aim of my next article with Pinescripters) . Today a new moving average is presented, such moving average use a parametric rectified linear unit function as weighting function, we will see that such moving average can be used as a low lag moving average as well as a signal moving average, thus creating a moving average crossover system. Finally we will estimate the LSMA using the proposed moving average. Correctivity And The Parametric Rectified Linear Unit Function Lot of terms are used, each representing one thing, lets start with the easiest one,"corrective". In some of my posts i may have used the term "underweighting", which refer to the process of attributing negative weights to the input of a moving average, a corrective moving average is simply a moving average underweighting oldest values of the input, simply put most of the low lag moving averages you'll find are corrective. This term was used by Aistis Raudys in its paper "Optimal Negative Weight Moving Average for Stock Price Series Smoothing" and i felt like it was a more elegant term to use instead of "low-lag". Now we will describe the parametric rectified linear unit function (PReLU), this function is the one used as weighting function and is not that complex. This function has two inputs, alpha , and x , in short if x is greater than 0, x remain unchanged, however if x is lower than 0, then the function output is alpha × x , if alpha is equal to 1 then the function is equivalent to an identity function, if alpha is equal to 0 then the function is equivalent to a rectified unit function. PReLU is mostly used in neural network design as an activation function, i wont explain to you how neural networks works but remember that neural networks aim to mimic the neural networks in the brain, and the activation function mimic the process of neuron firing. Its a super interesting topic because activation functions regroup many functions that can be used for technical indicators, one example being the inverse fisher RSI who make use of the hyperbolic tangent function. Finally the term parametric used here refer to the ability of the user to change the aspect of the weighting function thanks to certain settings, thinking about it, it isn't a common things for moving averages indicators to let the user modify the characteristics of the weighting function, an exception being the Arnaud Legoux moving average (ALMA) which weighting function is a gaussian function, the user can control the peak and width of the function. The Indicator The indicator has two moving averages displayed on the chart, a trigger moving average (in blue) and a signal moving average (in red), their crosses can generate signals. The length parameter control the filter length, with higher values of length filtering longer term price fluctuations. The percentage of negative weights parameter aim to determine the percentage of negative weights in the weighting function, note that the signal moving average won't use the same amount and will use instead : 100 - Percentage , this allow to reverse the weighting function thus creating a more lagging output for signal. Note that this parameter is caped at 50, this is because values higher than 50 would make the trigger moving average become the signal moving average, in short it inverse the role of the moving averages, that is a percentage of 25 would be the same than 75. In red the moving average using 25% of negative weights, in blue the same moving average using 14% percent of negative weights. In theory, more negative weights = less lag = more overshoots. Here the trigger MA in blue has 0% of negative weights, the trigger MA in green has however 35% of negative weights, the difference in lag can be clearly seen. In the case where there is 0% of negative weights the trigger become a simple WMA while the signal one become a moving average with linearly increasing weights. The corrective factor is the same as alpha in PReLU, and determine the steepness of the negative weights line, this parameter is constrained in a range of (0,1), lower values will create a less steep negative weights line, this parameter is extremely useful when we want to reduce overshoots, an example : here the corrective factor is equal to 1 (so the weighting function is an identity function) and we use 45% of negative weights, this create lot of overshoots, however a corrective factor of 0.5 reduce them drastically : Center Of Linearity The impulse response of the signal moving average is inverse to the impulse response of the trigger moving average, if we where to show them together we would see that they would crosses at a point, denoted center of linearity, therefore the crosses of each moving averages correspond to the cross of the center of linearity oscillator and 0 of same period. This is also true with the center of gravity oscillator, linear covariance oscillator and linear correlation oscillator. Of course the center of linearity oscillator is way more efficient than the proposed indicator, and if a moving average crossover system is required, then the wma/sma pair is equivalent and way more efficient, who would know that i would propose something with more efficient alternatives ? xD Estimating A Least Squares Moving Average I guess...yeah...but its not my fault you know !!! Its a linear weighting function ! What can i do about it ? The least squares moving average is corrective, its weighting function is linearly decreasing and posses negative weights with an amount of negative weights inferior to 50%, now we only need to find the exact percentage amount of negative weights. How to do it ? Well its not complicated if we recall the estimation with the WMA/SMA combination. So, an LSMA of period p is equal to : 3WMA(p) - 2SMA(p) , each coefficient of the combination can give us this percentage, that is 2/3*100 = 33.333 , so there are 33.33% percent of negative weights in the weighting function of the least squares moving average. In blue the trigger moving average with percentage of negative values et to 33.33, and in green the lsma of both period 50. Conclusion Altho inefficient, the proposed moving averages remain extremely interesting. They make use of the PReLU function as weighting function and allow the user to have a more accurate control over the characteristics of the moving averages output such as lag and overshoot amount, such parameters could even be made adaptive. We have also seen how to estimate the least squares moving average, we have seen that the lsma posses 33.333...% of negative weights in its weighting function, another useful information. The lsma is always behind me, not letting me focus on cryptobot super profit indicators using massive amount of labels, its like each time i make an indicator, the lsma come back, like a jealous creature, she want the center of attention, but you know well that the proposed indicator is inefficient ! Inefficient elegance (effect of the meds) . Thanks for reading !
Pine Script™ indicator
by alexgrover
10
SMA Cross Entry & Exit StrategyThis is a TradingView Strategy Script meaning you can't execute real trades using your exchange API connected to your TradingView account, it is designed for backtesting only This is a basic backtesting script for charting the bullish and bearish cross of two user defined simple moving averages, select the cog next to the name of the script ON the price chart in the left hand corner. The script will print to the screen either "Long Entry" or "Short Entry" depending on the direction of the cross. The script using TradingView strategies will subsequently close the opposite of the position that is executed when the bullish or bearish cross occurs. Simply put, if you are short and a bullish cross occurs, your short trade will close and be logged in strategies and the long will fire. You can pyramid the long and short positions to continue entering as long as the trend doesn't flip. You will find this in the script settings. Since this script is for backtesting you can manually set the "backtesting range" for TradingView Strategies and firing the "Long Entry" and "Short Entry". This as well, is in the settings. Notice: When the SMA cross occurs, you have to wait till the next candle before TradingView Strategy will print the "Long Entry" or "Short Entry" to the screen TradingView - How To Use Strategies: www.tradingview.com
Pine Script™ strategy
by Charts_and_Such_1
1