Indicator Functions with Factor and HeikinAshiHello all,
This indicator returns below selected indicators values with entered parameters.
Also you can add factorization, functions candles, function HeikinAshi and more to the plot.
VERSION:
Version 1: returns series only source and Length with already defined default values
Version 2: returns series with source, Length, p1 and p2 parameters according to the indicator definition (ex: )
PARAMETERS p1 p2
for defining multi arguments (See indicators list) indicator input value usable with verison=V2 selected.. ex: for alma( src , len ,offset=0.85,sigma=6), set source=source, len=length, p1=0.85 an p2=6
FACTOR:
Add double triple, Quadruple factors to selected indicator (like converting EMA to 2-DEMA, 3-TEMA, 4-QEMA...)
1-Original
2-Double
3-Triple
4-Quadruple
LOG
Log: Use log, log10 on function entries
PLOTTING:
PType: Plotting type of the function on the screen
Original :use original values
Org. Range (-1,1): usable for indicators between range -1 and 1
Stochastic: Convert indicator values by using stochastic calculation between -1 & 1. (use AT/% length to better view)
PercentRank: Convert indicator values by using Percent Rank calculation between -1 & 1. (use AT/% length to better view)
ST/%: length for plotting Type for stochastic and Percent Rank options
Smooth: Use SWMA for smoothing the function
DISPLAY TYPES
Plot Candles: Display the selected indicator as candle by implementing values
Plot Ind: Display result of indicator with selected source
HeikinAshi: Display Selected indicator candles with Heikin Ashi calculation
INDICATOR LIST:
hide = 'DONT DISPLAY', //Dont display & calculate the indicator. (For my framework usage)
alma = 'alma( src , len ,offset=0.85,sigma=6)', // Arnaud Legoux Moving Average
ama = 'ama( src , len ,fast=14,slow=100)', //Adjusted Moving Average
acdst = 'accdist()', // Accumulation/distribution index.
cma = 'cma( src , len )', //Corrective Moving average
dema = 'dema( src , len )', // Double EMA (Same as EMA with 2 factor)
ema = 'ema( src , len )', // Exponential Moving Average
gmma = 'gmma( src , len )', //Geometric Mean Moving Average
hghst = 'highest( src , len )', //Highest value for a given number of bars back.
hl2ma = 'hl2ma( src , len )', //higest lowest moving average
hma = 'hma( src , len )', // Hull Moving Average .
lgAdt = 'lagAdapt( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter
lgAdV = 'lagAdaptV( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter variation
lguer = 'laguerre( src , len )', //Ehler's Laguerre filter
lsrcp = 'lesrcp( src , len )', //lowest exponential esrcpanding moving line
lexp = 'lexp( src , len )', //lowest exponential expanding moving line
linrg = 'linreg( src , len ,loffset=1)', // Linear regression
lowst = 'lowest( src , len )', //Lovest value for a given number of bars back.
pcnl = 'percntl( src , len )', //percentile nearest rank. Calculates percentile using method of Nearest Rank.
pcnli = 'percntli( src , len )', //percentile linear interpolation. Calculates percentile using method of linear interpolation between the two nearest ranks.
rema = 'rema( src , len )', //Range EMA (REMA)
rma = 'rma( src , len )', //Moving average used in RSI . It is the exponentially weighted moving average with alpha = 1 / length.
sma = 'sma( src , len )', // Smoothed Moving Average
smma = 'smma( src , len )', // Smoothed Moving Average
supr2 = 'super2( src , len )', //Ehler's super smoother, 2 pole
supr3 = 'super3( src , len )', //Ehler's super smoother, 3 pole
strnd = 'supertrend( src , len ,period=3)', //Supertrend indicator
swma = 'swma( src , len )', //Sine-Weighted Moving Average
tema = 'tema( src , len )', // Triple EMA (Same as EMA with 3 factor)
tma = 'tma( src , len )', //Triangular Moving Average
vida = 'vida( src , len )', // Variable Index Dynamic Average
vwma = 'vwma( src , len )', // Volume Weigted Moving Average
wma = 'wma( src , len )', //Weigted Moving Average
angle = 'angle( src , len )', //angle of the series (Use its Input as another indicator output)
atr = 'atr( src , len )', // average true range . RMA of true range.
bbr = 'bbr( src , len ,mult=1)', // bollinger %%
bbw = 'bbw( src , len ,mult=2)', // Bollinger Bands Width . The Bollinger Band Width is the difference between the upper and the lower Bollinger Bands divided by the middle band.
cci = 'cci( src , len )', // commodity channel index
cctbb = 'cctbbo( src , len )', // CCT Bollinger Band Oscilator
chng = 'change( src , len )', //Difference between current value and previous, source - source.
cmo = 'cmo( src , len )', // Chande Momentum Oscillator . Calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period.
cog = 'cog( src , len )', //The cog (center of gravity ) is an indicator based on statistics and the Fibonacci golden ratio.
cpcrv = 'copcurve( src , len )', // Coppock Curve. was originally developed by Edwin "Sedge" Coppock (Barron's Magazine, October 1962).
corrl = 'correl( src , len )', // Correlation coefficient . Describes the degree to which two series tend to deviate from their ta. sma values.
count = 'count( src , len )', //green avg - red avg
dev = 'dev( src , len )', //ta.dev() Measure of difference between the series and it's ta. sma
fall = 'falling( src , len )', //ta.falling() Test if the `source` series is now falling for `length` bars long. (Use its Input as another indicator output)
kcr = 'kcr( src , len ,mult=2)', // Keltner Channels Range
kcw = 'kcw( src , len ,mult=2)', //ta.kcw(). Keltner Channels Width. The Keltner Channels Width is the difference between the upper and the lower Keltner Channels divided by the middle channel.
macd = 'macd( src , len )', // macd
mfi = 'mfi( src , len )', // Money Flow Index
nvi = 'nvi()', // Negative Volume Index
obv = 'obv()', // On Balance Volume
pvi = 'pvi()', // Positive Volume Index
pvt = 'pvt()', // Price Volume Trend
rise = 'rising( src , len )', //ta.rising() Test if the `source` series is now rising for `length` bars long. (Use its Input as another indicator output)
roc = 'roc( src , len )', // Rate of Change
rsi = 'rsi( src , len )', // Relative strength Index
smosc = 'smi_osc( src , len ,fast=5, slow=34)', //smi Oscillator
smsig = 'smi_sig( src , len ,fast=5, slow=34)', //smi Signal
stdev = 'stdev( src , len )', //Standart deviation
trix = 'trix( src , len )' , //the rate of change of a triple exponentially smoothed moving average .
tsi = 'tsi( src , len )', //True Strength Index
vari = 'variance( src , len )', //ta.variance(). Variance is the expectation of the squared deviation of a series from its mean (ta. sma ), and it informally measures how far a set of numbers are spread out from their mean.
wilpc = 'willprc( src , len )', // Williams %R
wad = 'wad()', // Williams Accumulation/Distribution .
wvad = 'wvad()' //Williams Variable Accumulation/Distribution
I will update the indicator list when I will update the library
Thanks to tradingview, @RodrigoKazuma for their open source indicators
Média Móvel Exponencial (MME)
SEMA-XSEMA-X (sema cross)
It's a simple EMA cross strategy
Rules of strategy
1. 2 EMA crossing
2. Long (Golden Cross), Short (Dead Cross)
3. Target profit, stop loss setting
You can also get big trend gains if you set a long target price.
* * *
SEMA-X (세마크로스)
간단한 EMA 교차 전략 입니다.
전략의 규칙
1. 2개의 EMA 교차
2. 매수(골든 크로스), 매도(데드 크로스)
3. 목표가, 손절가 설정
목표가를 길게 설정하면 큰 추세 이익도 얻을 수 있습니다.
5min MACD scalp by JoelThis strategy is inspired by a youtuber called Joel on Crypto. He trades this using Ema, MACD indicators and his own experience. For more information, check out his Best Crypto Scalping Strategy for the 5 Min Time Frame video. I have tried to automate this a little.
Long or Short trades are determined with a crossing of the fast Ema over the slow Ema for Long and the opposite for Short. Trades should only happen close to the crossovers. Then for Long we use the MACD indicator with a 1min TF (I had better results using the 5min) where we look for high peaks in negative values for Long and vice versa for Shorts. These should be significantly higher than other peaks (or if you will lower peaks for a Long).
Hence, the key is to detect high peaks on the histogram, which I try to achieve by checking if the last 2 values were higher than X bars back. If you want to make it even more specific, then you can turn on the additional checkbox which compares the current value to the average value of X bars back, and if it is greater than, say, 50% the value of the average (= 1.5x the average), then it's ok for the trade.
I also noticed that the strategy often bought at the top or bottom, so I added a check that compares whether the last evaluated bar is the first rising bar (for Long) or falling bar (for Short). This can be turned on or off.
Target profit 0,5% and stop loss 0,4% are based on his recommendation. The strategy is set to take only 1 trade at a time , and you can have a back tester table on.
I'm still a pine script beginner, so the strategy is certainly not perfect and could be improved. If you have any tips on how to improve it further, please let me know. I will try to update it when I have time.
I would also like to thank Joel on Crypto for sharing the strategy and @ZenAndTheArtOfTrading for his great library and code (thanks to him we have a back tester table in here), but especially his educational videos on youtube, which taught me a lot about pine script.
Highs-Lows Bands Trend FollowingTwo bands formed by moving averages of highs and lows.
The lower band should provide zone of support in uptrends while the upper band should provide zone of resistance during downtrends.
Bands that turn green in bullish trends should provide buy signals while bands that turn red in bearish trends should provide sell signals.
Simple EMA20 Strategy + StochasticThis is a Trend Following Strategy.
The intent of this strategy is to catchthe price as it trends higher than the 20-period EMA and sell immediately after the price closes below it.
I have implemented calculations from Stochastic to make sure the price is coming from an oversold area.
There is also a check to see if the 20-period EMA is trending higher than before.
EneX SignalEneX is signal that give recommendation signals for entry and exit on spot market. This indicators not suitable for leverage trading in futures market.
EneX signal consider several indicators and has entry and exit rules.
EneX signal is suitable for investors who believe in trend following strategy (disclaimer on).
This script composed by Yohan Naftali for educational purpose only. Reader who will use this signal must do own research.
Indicator and Plot Involved
1. Williams Fractals with default periods = 2
2. William Alligator Indicators with default simple moving average 8, 13, and 21
3. Exponential Moving Averages with default value EMA 50, 100, and 200
4. Relative Strength Index with default overbought level = 80 and oversold level = 20
5. Williams Fractals are joined to create support and resistance line and fill area between support and resistance lines.
Entry signal conditions
1. Entry on Weakness when bullish fractal appear on n/2 period
2. Entry when price break resistance line
All entry condition must above EMA and alligator signal and not in overbought RSI
Exit signal conditions
1. Lowest price is below Exponential Moving Average
2. Lowest price is below William alligator lines
You can easily find entry and exit points by using Entry (E), Exit(X) signals
How to use
1. Monitor chart and wait until E or X signals
2. Entry if Entry Signal (E) appear (green colored label)
3. Exit if Exit Signal (X) appear (red colored label)
4. Change indicators setting when necessary
Best Practice
1. Entry only when entry signal (E) appear
2. Never entry when price below William alligator signal
3. Exit when exit signal (X) appear
4. Not exit when exit signal appear when you believe or you have information that price will be rebound
5. Exit if you believe that current price meet your target price
6. Always wise when use EneX signals
Disclaimer
Do your own research and consider fundamental price of asset.
The indicators provided on this script is for educational purposes only.
Author does not offer advisory or brokerage services, nor does it recommend or advise users to buy or sell particular stocks or securities.
Please examined script and give feedback for further improvement.
Range Adaptive EMA Float Series Inputuses range and change distance on arrays to allow for more control as well as any choice of input value as a controller for how tightly it grips the input signal.
Logarithmic Moving Average [TusSensei]Logarithmic moving averages involve mathematical modification of classical moving averages(EMA-RMA-SMA). Logarithmic modified averages deviate high over short time periods. For long time periods, it behaves exactly like the original moving averages. Its basic formulation is (MovingAverage x (1 + (1 / log(length))).
The most important reason for the operability of logarithmic moving averages is the time periods they use. The values used are 21-55-149-404-1098-2981. These numbers are the consecutive powers of the number "e", which is the base of the natural logarithm (rounded up to an integer).
In this script you will also see another moving average called SQRT. This moving average is equal to the square root of the product of the EMA and the RMA. In other words, it is a moving average that is the geometric mean of two averages. In this script, you can use all of the EMA-RMA-SQRT and SMA averages in the classical and modified way. For formulaic modification, it is sufficient to select "mEMA", "mRMA" forms from the setting section.
Thanks everyone!
AO Krown Cross
This is a simple script to add alerts to 3 EMA's ie 9,21,55 based on the Krowns Cross Strategy
NSK CRPIndicator Daily CPR, daily/weekly/monthly Pivot points, daily/weekly/monthly high and low and EMA for self use prepared by picking up stuff from collaborators here. Thanks for the community.
BBW EMA RIBBON+BB%B+EMA BUY/SELL SignalsBINANCE:BTCUSDT
* * * TESTED ON BTCUSDT 4H CHART * * *
The indicator gives signals based on possible ENTRY/EXIT zones (calculated using an ema ribbon of the BBW) and BB%B oversold/overbought conditions, also a 200 EMA filter is used to trade following the major trend.
ENTRY/EXIT zones can be used as a confirmation on other strategies (green zones suggest a possible entry for a long in an uptrend and for a short in a downtrend, red zones suggest a possible exit for long & short)
Only LONG signals are given.
Signals are divided in 3 categories based on their strenght:
- Weak BUY/SELL (green/red circles on chart)
- normal BUY/SELL (green/red triangles with "BUY" or "SELL" text on chart)
- strong BUY/SELL (green/red labels with "STRONG BUY" or "STRONG SELL" text on chart)
You can use signals from the same category as triggers for entering or exiting a trade or you can try using signals from different categories
All indicators settings can be costumized
Possible EXTRY/EXIT zones can be turned ON/OFF
Every signal label can be turned ON/OFF
EMA that changes color based on last candle close can be turned ON/OFF
Alerts can be set for:
- General Signals (every signal will trigger it)
- Weak Signals (only weak signals will trigger it)
- Normal Signals (only normal signals will trigger it)
- Strong Signals (only strong signals will trigger it)
There are 3 BB%B Oversold & 3 BB%B Overbought value presets:
- BASIC (default values)
- LOW (slightly lower values from default)
- HIGH (slightly higher values from default)
Tips:
Use BB%B OS LOW preset to find entries at a better price
Use BB%B OS HIGH preset to find entries faster
Use BB%B OB LOW preset to find exits faster
Use BB%B OB HIGH preset to find exits at a better price
There are 3 Filters already included:
- A checkbox to toggle ON/OFF the use of Heikin Ashi candels to detect trades
- A checkbox to toggle ON/OFF the use of an ema filter for the ribbon that tries to reduce the number of false signals on over-extended price movements
- A checkbox to toggle ON/OFF the use of an ema filter that tries to reduce the number of false signals when price crosses the moving average many times consecutively
Ehlers Deviation Scaled Super Smoother [CC]The Deviation Scaled Super Smoother was created by John Ehlers and this is an excellent moving average that changes direction very quickly and can keep up with the current underlying trend. This indicator works by applying a Hann Windowed Moving Average to the stock's momentum and scaling that by the Root Mean Square and then using that value in the input for a Super Smoother . I have included strong buy and sell signals in addition to normal ones so lighter colors are normal signals and darker colors are strong ones. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
BB+RSI+EMA BUY/SELL SignalsBINANCE:BTCUSDT
* * * TESTED ON BTCUSDT 4H CHART * * *
The indicator gives signals based on candles touching BB lines and RSI oversold/overbought conditions, also a 200 EMA filter is used to trade following the major trend.
Only LONG signals are given.
Signals are divided in 3 categories based on their strenght:
- Weak BUY/SELL (green/red circles on chart)
- normal BUY/SELL (green/red triangles with "BUY" or "SELL" text on chart)
- strong BUY/SELL (green/red labels with "STRONG BUY" or "STRONG SELL" text on chart)
You can use signals from the same category as triggers for entering or exiting a trade or you can try using signals from different categories
All indicators settings can be costumized
Every signal label can be turned ON/OFF
EMA that changes color based on last candle close can be turned ON/OFF
Alerts can be set for:
- General Signals (every signal will trigger it)
- Weak Signals (only weak signals will trigger it)
- Normal Signals (only normal signals will trigger it)
- Strong Signals (only strong signals will trigger it)
CDC ActionZone Multi-TF,Mult-Ticker with alert() [P-O-Concept]This is proof-of-concept for using single screen displaying triggering signal of multiple stock/crypto
This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
1. Original CDC Action Zone v3 2020 by © piriya33
Source of original indicator :
2. Table concept/part of code is pulled from Portfolio Tracker
***************************************************************************
CDC Action Zone is based on a simple EMA crossover between EMA12 and EMA26
The zones are defined by the relative position of price in relation to the two EMA lines
Different zones can be use to activate / deactivate other trading strategies
The strategy can also be used on its own with acceptable result, buy on the first green candle
and sell on the first red candle
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Hint Color Meaning :
Green = FastMA > SlowMA and Price is above FastMA
Blue = FastMA < SlowMA and Price is above both MA
LightBlue = FastMA < SlowMA and Price is between both MA
Red = FastMA < SlowMA and Price is below FastMA
Orange = FastMA > SlowMA and Price is below both MA
Yellow = FastMA > SlowMA and Price is between both MA
Blue/LightBlue/Orange/Yellow should be used with another indicator (such as divergent or so)
Cautions:
- This indicator is not meant to be used as "Signal" or "Trading System"
- This indicator provide a quick-glimpse to multiple ticker in same screen. You'll still have to see indications using original CDC Action Zone (If you're using with CDC System), or combining with another indicator (For shorter tf or scalping, or short/long cover)
- Up to 10 Tickers / Timeframe + Current ticker
Alert Creation Guideline
If this indicator will be used as alert. The timeframe for ticker should be set to "same as" the chart you're using, ie, to set alert on 4h, it should be created in 4h-timeframe (Alert is fired on bar close, using 1D-TABLE in 4H-CHART may trigger alert up to 6 times. else if using in 4H-TABLE in 1D-CHART the alert may not trigger at all)
Considering using ohlc4, hlc3, hl2 for market with no session
PS. Send me a message if you see any bug. (especially if using JSON, I have no chance to test with multiple alert at same tick.)
Larry Williams 3 Period EMAs strategyLarry R. Williams explains this strategy in his book "Long-Term secrets to Short-Term trading", it consists of using two 3-period EMAs, one representing the Highs and the other the Lows.
When the price falls below the 3-period Lows EMA we have a long signal.
The trade is closed when the price closes above the 3-period Highs EMA . BINANCE:BTCUSDT
Array to SMA/EMAThis script is to help people with converting arrays to Simple Moving Average and Exponential Moving Average arrays. It is the same as using ta.sma() or ta.ema() in v5 with series but it takes an array as input instead. Both functions have inbuilt bad-input checking logic to ensure that the period length is not too high or too low - which could give unwanted results. If such values are used, the functions will output an array of the same length with NaN values. The EMA function also has an optional argument called sma_seed , which determines whether the first value in the output array will be the SMA of the first value from the input array (true) or the first value itself (false). Both functions work independently of one another, all you have to do is copy the entire function into your code and off you go! I can add more functions such as RMA or VWMA if there is demand, let me know and leave a like! ~ if you want.
Ratio (Relative Strength) & EMAsRatio (Relative Strength) & EMAs
This indicator is used to compare the actual symbol with another one by calculating the ratio. EMA1 and EMA2 of the ration are shown as well. The idea is to choose an index like the NDX or SPX for comparison and to determine if the actual symbol outperforms the index or not - separate the wheat from the chaff. The rules are as follow:
When the calculation ratio (symbol divided ratio symbol) is above EMA1 and EMA1 is above EMA2) the background turs green. If not the background turn red.
Triple EMA (20, 50, 200) w/ LabelsI've combined the 20, 50, and 200 day exponential moving averages and added labels.
I created this due to finding EMA scripts that are either nothing but ugly to look at or have extra "features" that serve no purpose.
This gets rid of the clutter and gives a simple triple EMA with labels.
Labels are optional, you can turn them off in the settings.
Tendency EMA + RSI [Alorse]A very simple and highly effective strategy LONG & SHORT that combines only 2 indicators:
RSI
3 Moving Average Exponential (EMA)
LONG Entry conditions are:
EMA 20 cross over EMA 10
EMA 10 is above EMA 100
LONG Exit conditions are:
RSI greater than 70
Or when X number of candles have passed and the trade is in profit. (Check Settings)
SHORT Entry conditions are:
EMA 20 cross under EMA 10
EMA 10 is below EMA 100
SHORT Exit conditions are:
RSI is less than 30
Or when X number of candles have passed and the trade is in profit. (Check Settings)
Ehlers Average Error Filter [CC]The Average Error Filter was created by John Ehlers and this is a variation of a Zero Lag Exponential Moving Average that uses a Super Smoother to filter out the noise and then uses a second Super Smoother of the difference between the current price and the filtered data. This works well as a trendline and does give out a few false signals like all indicators inevitably do but most signals do a good job of keeping up with the trend and providing clear entries and exits when the trend changes. I have included strong buy and sell signals in addition to normal ones so like always darker colors are strong signals and lighter colors are normal ones. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!