moonshot hypertrender (supertrend strategy)
This is a well-known strategy by using 3 different Supertrends and a trend-defining EMA,
feel free to play around with the settings, a backtest on 8h ETHUSDT pair brought some good results using
the 233EMA and investing 75% of a 10k start capital.
The idea is to have at least 2 Supertrends going green above the trend-EMA to go into a long position. The exit
will be triggered if 2 Supertrends change to red (idea: 1 super trend in red could initialize a take profit).
Taking shorts works vice versa.
The EMA shows in green for uptrends and in red for downtrends, if it is blue (ranging market) no Signal will be taken because
the 3 Supertrends are not all above or below the trendline(EMA).
I heard about this strategy on youtube but I can't get the promised 60% win-rate ;)
any suggestions to improve it are welcome
Hope you find it useful and it would be nice to get your feedback
-theasgard-
Media mobile esponenziale (EMA)
JC blended MAs v3The best, simplest moving averages you'll find.
Well not really. But it does have SMA, WMA, and EMA in one place. Plus an additional one that averages those, that might give you a leg up because it's not really a standard thing and you won't create a massive worldwide machine-driven feedback loop that crashes the markets (instead profit from them). Or something like that.
Each moving average has their own definable averaging length.
The master time resolution is also definable, or you can use the chart's. (The latter which is not very useful for moving averages, yet so many of them on trading view don't let you specify otherwise.)
For example you can set the master resolution to 5 minutes, 1 hour, 1 day, etc. (Default is 1 hour.) The graphs don't change, only the resolution.
Note: There are a few rare, extreme edge cases where the graphs won't render, which are obvious. In which case all you need to do is choose a more sane resolution. This is more about the limits of Trading View than specific script bugs.
EMA Levels, Multi-TimeframeThe exponential moving average (EMA) tracks price over time, giving more importance to recent price data than simple moving average (SMA). EMAs for larger timeframes are generally considered to be stronger supports/resistances for price to move through than smaller timeframes. This indicator allows you to specify two different EMA lengths that you want to track. Additionally, this indicator allows you to display not just the EMA levels of your currently viewed timeframe on the chart, but also shows the EMA levels of up to 4 different timeframes on the same chart. This allows you to quickly see if multiple EMA levels are aligning across different timeframes, which is an even stronger indication that price is going to meet support or resistance when it meets those levels on the chart. There are a lot of nice configuration options, like:
Ability to customize the EMA lengths you want to track
Style customization (color, thickness, size)
Hide any timeframes/levels you aren't interested in
Labels on the chart so you can tell which plots are the EMA levels
Optionally display the plot as a horizontal line if all you care about is the EMA level right now
3 Moving Average Exponential with multi TFThis is a simple Exponential Moving Average indicator. It allows you to have 3 Exponential Moving Averages and set a specific TimeFrame for each. Feel free to cope code LOL!
Price Action [Morty]This price action indicator uses the higher timeframe SSL channel to identify trends.
The long entry signal is a bullish candlestick pattern when the price retraces to EMA20 in an uptrend.
The short entry signal is a bearish candlestick pattern when the price retraces to the EMA20 in a downrend.
Currently, this indicator shows engulfing patterns, pin bar patterns, 2 bar reversal patterns and harami patterns.
It also shows a volatility squeeze signal when the Bollinger bands is within the Kelter channels.
The buy and sell signal can also be filter by the ADX indicator greater than a threshold.
You can set your stoploss to the previous low/high when you go long/short.
The risk/reward ratio could be 1 to 1.5.
This indicator can be used in any market.
EMA 20/50/100/200 Daily-WeeklyHello!
In case this helps others when using EMA's on multiple timeframes, I decided to publish this script I modified.
It adds the EMA for 20/50/100/200 timeframes and gives them the color white, orange, red, green respectively.
The weekly timeframe will get the corresponding weekly EMA.
The monthly timeframe will get the corresponding monthly EMA.
The daily timeframe, and all timeframes below this, will get the daily timeframe. The idea that that a ticker symbol might respect with strength the daily EMA's - you'll be able to move to a smaller timeframe and still view the daily EMA's in an effort to better view how close the ticker came to taking a specific EMA.
Média 8, 21, 56, 200 SEMANAL - Augusto BackesFique tranquilo, aqui tem todas as médias que o Backes utiliza dentro de um indicador só, aproveite :)
Aggregated BTC SpreadThis script is used to aggregate the bitcoin spread on futures contracts on different platforms.
It works by averaging the for every selected exchange, and apply an EMA of .
It is supporting
Binance (USD / USDT)
Okex
FTX
Huobi
Deribit
Ascendex
CME (BTC1!)
Cloud Ribbon ++ by [JohnnySnow]Inspired by my favorite EMA ribbon - "EMA Ribbon " by fskrypt.
This Ribbon ADD the option to choose the avarage algorithm of the ribbon .
Created also to be more friendly to read along with trendlines and Fibonacci retracements.
For those like me that NOT use this ribbon to find exact price action but instead, to have a grasp of possible Support/Resistance strenght ahead.
High transparency lines and a configurable color palette for filling the background give the ribbon a look of support/ Resistance cloud Strenght.
Each MA length, line, and background color can be easily configured.
LoTek - Horizontal Multi Time-Frame EMAsThis script retrieves user definable EMA values from different timeframes and plots a Horizontal Line on the chart for the corresponding timeframe. Labels are switchable as well. This can help you identify an EMA squeeze on lower time frames quickly. In this image, I'm viewing QRDO on 1HR and can tell that the price is just above the D10.
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
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.