2T sine wave + correlation ranks v1This indicator produces up to 6 sinusoids very useful in the cyclical analysis, moreover a correlation index has been inserted to understand which cycle is more correlated to the price trend.
The degree of correlation is represented by the small dots at the end of the waves.
//The highest is the most correlated; all the others to follow
Cycle
Quad centered moving averages v1This indicator includes four centered moving average!
The missing periods have been reconstructed with a very complex approximation and projection technique!
The hatched areas are approximations of the missing periods projected into the future.
It is possible to set the centering of the averages through the variable "Approximation Lenght" and the ratio between the main average and the underlying in "Period Partition".
Practical example of setting:
"Approximation Lenght" equal to 2 means that the centering will be of half a period.
"Period Partition" makes sure to cascade all averages by dividing them by the same number.
//Once decided the Main Cycle (default 256) we will get the 4 averages:
-red to 128
-orange 64
-yellow 32
-white 16
This is a great tool for cyclical analysis.
It is not possible, due to the pinescript v4 language limit, to set the average under 35 periods and over 1070 periods.
For any bugs contact the creators
Double centered moving averages v1This indicator is a double centered moving average!
The missing periods have been reconstructed with a very complex approximation and projection technique!
The hatched areas are approximations of the missing periods projected into the future.
It is possible to set the centering of the averages through the variable "Approximation Lenght" and the ratio between the parent average and the underlying in "Period Partition".
Practical example of setting:
"Approximation Lenght" equal to 2 means that the centering will be of half a period
"Period Partition" gives me the possibility to set the second average equal to half the main average if we insert 2 in the variable; equal to the third part if we insert 3 and so on ......
//By default we will have a main period at 256 and a shorter one at 128 (period partition 2), with centering equal to half a period (approximation length 2); if the average is shorter than 64 then I put 4 in the period partition.//
This is a great tool for cyclical analysis.
It is not possible, due to the pinescript v4 language limit, to set the average under 50 periods and over 670 periods.
For any bugs contact the creators
Single centered moving average v1This indicator is a centered moving average!
The missing periods have been reconstructed with a very complex approximation and projection technique!
On the chart I loaded a simple 180-period average in blue and our average centered in yellow.
The hatched area is the approximation of the missing periods projected into the future.
It is possible to set the centering of the average through the offset ratio:
2 is half a period behind; 4 is a quarter of a period behind.
This is a great tool for cyclical analysis.
It is not possible, due to the pinescript v4 language limit, to set the average over 1.000 periods.
For any bugs contact the creators
Carpe Diem [Strategy]Carpe Diem Strategy, a wave cycle strategy that only enters when markets are up trending.
The script uses 3 different trend detection indicators including volume which helps with confirmation.
This script has 10 variations built within it which are fitted for the coins differnt coinditions
The coins included are
BTC/USDT 4H
ETH/USDT 4H
LTC/USDT 4H
ADA/USDT 4H
BNB/USDT 2H
BAND/USDT 4H
BAT/USDT 3H
OGN/USDT 4H
ZIL/USDT 4H
BZRX/USDT 2H
How to use the Indicator
You can change what plots are shown in the settings Cog
When the wave lines are green, the market is up trending and will be looking for a trade whereas when they are red, the market is in a sideways or downtrend.
The buy signal is given by the fast wave either crossing over the slow wave line, or crossing over the value of 25.
The exit signal is when the wave crosses back under the 75 value
This strategy includes Fees and there is NO Repaint. The script is written in version 4
There is an option in the settings cog to choose from 10 Coins and timeframes which the Strategies have been optimised for.
There is also another option in the settings cog to change the backtesting range.
There is also another option to adjust the stop loss. I have left it on the Default value which I believe works best
This strategy performs best on the Binance listings
Sharktank - Pi Cycle PredictionThe Pi Cycle indicator has called tops in Bitcoin quite accurately. Assuming history repeats itself, knowledge about when it might happen again could benefit you.
The indicator is fairly simple:
- A daily moving average of 350 ("long_ma" in script)
- A daily moving average of 111 ("short_ma" in script)
The value of the long moving average is multiplied by two. This way the longer moving average appears above the shorter one.
When the shorter one (orange colored) crosses above the longer (green colored) one, it could mean the top is in.
These moving averages rise at a certain rate. Using these rates we could try to estimate a possible crossover moment. That's exactly what this indicator does! It gives the user a prediction of when a crossover might happen.
Special thanks to:
- Ninorigo, for making his indicator public. This one uses his as a starting point.
- The_Caretaker, for coming up with this idea about calling a top. Yet, his is more price-based, this one is more time-based.
CT Reverse Pi Cycle Bitcoin Top IndicatorIntroducing the Reverse BTC Pi Market Cycle Top indicator
Much respect to Philip Swift the original creator of this idea and big thanks to Tradingview author Ninorigo for sharing the script which this indicator is based on.
Philip Swift has noted that:
Using the x2 multiple of the 350 day moving average along with the 111 day moving average provides an interesting market cycle indicator.
Over the past three market cycles, when the 350DMA x2 crosses below the 111DMA, Bitcoin price peaks in its market cycle, this has been accurate to within three days of Bitcoin price topping out.
Here I have modified an existing script by Tradingview author @Ninorigo which shows the moving averages and gives signals upon crossover by adding the following features:
A function which shows the price at which the 350DMA will Cross Below the 111DMA.
(This is calculated from the prior bar closing data and does not repaint)
An “anticipated cross” function which may give a 1 bar advanced warning of a cross.
(this is calculated from current bar values and may change and repaint)
The crossover levels are shown in an info label to the right of the current price.
When there is a BTC Pi Market Cycle Top anticipated cross on the next bar there will be an orange background signal.
When there is an actual BTC Pi Market Cycle Top cross there will be a red background signal
When there is an anticipated cross back there will be a blue background signal
When there is an actual cross back there will be a green background signal
This indicator will show the appropriate moving averages and crossover information from the daily timeframe regardless of the timeframe you are using.
This should be helpful in more accurately identifying the price level where the Pi Market Cycle moving averages will cross denoting a possible market cycle top.
It is interesting to note:
350 / 111 = 3.153
Which is the closest we can get to Pi when dividing 350 by another whole number.
This is a script to give another view and metric on an interesting experimental idea. This is not financial advice.
Medium Term Weighted Stochastic (STPMT) by DGTLa Stochastique Pondérée Moyen Terme (STPMT) , or Mᴇᴅɪᴜᴍ Tᴇʀᴍ Wᴇɪɢʜᴛᴇᴅ Sᴛᴏᴄʜᴀꜱᴛɪᴄꜱ created by Eric Lefort in 1999, a French trader and author of trading books
█ The STPMT indicator is a tool which concerns itself with both the direction and the timing of the market. The STPMT indicator helps the trader with:
The general trend by observing the level around which the indicator oscillates
The changes of direction in the market
The timing to open or close a position by observing the oscillations and by observing the relative position of the STPMT versus its moving average
STPMT Calculation
stpmt = (4,1 * stoch(5, 3) + 2,5 * stoch(14, 3) + stoch(45, 14) + 4 * stoch(75, 20)) / 11.6
Where the first argument of the stoch function representation above is period (length) of K and second argument smoothing period of K. The result series is then plotted as red line and its moving average as blue line. By default disabled gray lines are the components of the STPMT
The oscillations of the STPMT around its moving average define the timing to open a position as crossing of STMP line and moving average line in case when both trends have same direction. The moving average determines the direction.
Long examples
█ Tʜᴇ CYCLE Iɴᴅɪᴄᴀᴛᴏʀ is derived from the STPMT. It is
cycle = stpmt – stpmt moving average
It is indicates more clearly all buy and sell opportunities. On the other hand it does not give any information on market direction. The Cycle indicator is a great help in timing as it allows the trader to more easily see the median length of an oscillation around the average point. In this way the traders can simply use the time axis to identify both a favorable price and a favorable moment. The Cycle Indicator is presented as histogram
The Lefort indicators are not a trading strategy. They are tools for different purposes which can be combined and which can serve for trading all instruments (stocks, market indices, forex, commodities…) in a variety of time frames. Hence they can be used for both day trading and swing trading.
👉 For whom that would like simple version of the Cycle indicator on top of the main price chart with signals as presented below.
Please note that in the following code STMP moving average direction is not considered and will plot signals regardless of the direction of STMP moving average. It is not a non-repainting version too.
here is pine code for the overlay version
// © dgtrd
//@version=4
study("Medium Term Weighted Stochastic (STPMT) by DGT", "STPMT ʙʏ DGT ☼☾", true, format.price, 2, resolution="")
i_maLen = input(9 , "Stoch MA Length", minval=1)
i_periodK1 = input(5 , "K1" , minval=1)
i_smoothK1 = input(3 , "Smooth K1", minval=1)
i_weightK1 = input(4.1 , "Weight K1", minval=1, step=.1)
i_periodK2 = input(14 , "K2" , minval=1)
i_smoothK2 = input(3 , "Smooth K2", minval=1)
i_weightK2 = input(2.5 , "Weight K2", minval=1, step=.1)
i_periodK3 = input(45 , "K3" , minval=1)
i_smoothK3 = input(14 , "Smooth K3", minval=1)
i_weightK3 = input(1. , "Weight K3", minval=1, step=.1)
i_periodK4 = input(75 , "K4" , minval=1)
i_smoothK4 = input(20 , "Smooth K4", minval=1)
i_weightK4 = input(4. , "Weight K4", minval=1, step=.1)
i_data = input(false, "Components of the STPMT")
//------------------------------------------------------------------------------
// stochastic function
f_stoch(_periodK, _smoothK) => sma(stoch(close, high, low, _periodK), _smoothK)
//------------------------------------------------------------------------------
// calculations
// La Stochastique Pondérée Moyen Terme (STPMT) or Medium Term Weighted Stochastics calculation
stpmt = (i_weightK1 * f_stoch(i_periodK1, i_smoothK1) + i_weightK2 * f_stoch(i_periodK2, i_smoothK2) + i_weightK3 * f_stoch(i_periodK3, i_smoothK3) + i_weightK4 * f_stoch(i_periodK4, i_smoothK4)) / (i_weightK1 + i_weightK2 + i_weightK3 + i_weightK4)
stpmt_ma = sma(stpmt, i_maLen) // STPMT Moving Average
cycle = stpmt - stpmt_ma // Cycle Indicator
//------------------------------------------------------------------------------
// plotting
plotarrow(change(sign(cycle)), "STPMT Signals", color.green, color.red, 0, maxheight=41)
alertcondition(cross(cycle, 0), title="Trading Opportunity", message="STPMT Cycle : Probable Trade Opportunity {{exchange}}:{{ticker}}-> Price = {{close}}, Time = {{time}}")
Ark Crypto HeatlineThis is the 'on chart' indicator. See also "Ark Crypto Heatband" indicator for a side-by-side BTC view, without a re-scaled line.
The crypto landscape is largely dominated by BTC and characterised by cyclical stages with varying degrees of mean reversion.
To understand what stage of the cycle we are currently experiencing, it is useful to examine to what degree the current price has extended beyond the long term average that BTC has established. This is true even when analysing other crypto assets as BTC is the dominant force in the crypto asset class.
This indicator uses the 1400 period daily SMA , which is broadly the 200 period weekly SMA. This can be configured, but historically has represented a baseline to which BTC commonly returns.
The graph plots current price in terms of multiples of this long term average. Traditionally, at multiples beyond 10, BTC is considered overextended with a higher likelihood of trending towards the mean thereafter. Colors indicate the extent of price extension.
Where the indicator is applied to non BTCUSD pairs, a smoothed conversion is applied, seeking to superimpose the BTC long period SMA onto the current chart.
The indicator specifically references BTC by default on all charts, as it is designed to use BTC as general purpose indication of where crypto as a whole currently sits. Accordingly the indicator is only to be used on crypto charts.
For best results on BTC, using BNC:BLX will give the longest historical view.
Ark Crypto HeatbandThe crypto landscape is largely dominated by BTC and characterised by cyclical stages with varying degrees of mean reversion.
To understand what stage of the cycle we are currently experiencing, it is useful to examine to what degree the current BTC price has extended beyond a long term average. This is true even when analysing other crypto assets and helpful to view side by side.
This indicator uses the 1400 period daily SMA, which is broadly the 200 period weekly SMA. This can be configured, but historically has represented a baseline to which BTC commonly returns.
The graph plots current price in terms of multiples of this long term average. Traditionally, at multiples beyond 10, BTC is considered overextended with a higher likelihood of trending towards the mean thereafter. Colors indicate the extend of price extension.
The indicator specifically references BTC by default on all charts as it is designed to use BTC as general purpose indication of where crypto as a whole currently sits. Accordingly the indicator is only to be used on crypto charts.
TopTenAlgo 8. Elliottwave Cycle EN: The Elliottwaves Cycle Oscillator is an indicator that allows the detection of impulsive (impulsive / ascend) or corrective (correction / fall) waves, ie each cycle (cycle) in Elliott Waves . The aim is to measure the speed of a real trend and to predict returns. In the uptrend or impulsive movement, Cycle continues its movement in the upper band after the price is set on a certain band, while in the downtrend or corrective move, the Cycle continues its movement in the lower band.
This algorithm is prepared with @Top10Algo ...
TR: Elliottwaves Cycle Osilatörü Elliott Dalgalarında ki impulsive (itkisel/yükseliş) yada corrective (düzeltme/düşüş) dalgaların yani her bir siklus’ un (cycle) önceden tespit edilmesini sağlayan bir göstergedir. Amaç gerçek bir trendin hızını ölçmek ve geri dönüşleri önceden tespit etmektir. Yükseliş trendi içinde yada impulsive bir harekette fiyat belli bir banda oturduktan sonra Cycle üst band’ da hareketine devam ederken, düşüş trendi içinde yada corrective bir harekette fiyat belli bir banda oturduktan sonra Cycle alt bandda hareketine devam eder.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
Cycle Swing MomentumAdaptive Ultra-Smooth Momentum indicator
The Cycle-Swing-Indicator "CSI" provides an optimized "momentum" oscillator based on the current dominant cycle by looking at the swing of the dominant cycle instead of the raw source momentum. Offering the following improvements:
Smoothness
Zero delay
Sharpness at turning points
Robust and adaptable to market conditions
Accurate deviation detection
The following common problems with standard indicators are solved by this indicator:
First, normal indicators introduce a lot of false signals due to their noisy signal line. Second, to compensate for the noise, one would normally try to add some smoothing. But this only results in adding more delay to the indicator, which makes it almost useless. Third, standard indicators require a length adjustment to derive reliable signals. However, you never know how to set the right length.
All three problems described above are solved by the developed adaptive cyclic algorithm.
The above chart shows current Bitcoin 4h data from the last days as of writing with the proposed signal reading for this indicator. The standard momentum indicator is included for comparison.
HOW TO USE
The indicator works without any parameter and can be applied to any chart and any time-frame. It will adapt automatically to the Dominant Cycle and use the dominant cycle of the source data to derive the ultra smooth momentum curve. Adaptive upper/lower bands are included and highlight areas with extreme readings. Automatic divergence detection can be turned off/on.
HOW TO READ
The indicator can be used like any oscillator. In addition, it provides adaptive high and low bands.
* Look for turns above the upper/lower bands
* Look for divergences between source and signals line
Further reading/Original source:
The indicator uses the dominant cycle to optimize signal, smoothing and cyclic memory. To get more in-depth information on the Cycle Swing Indicator, please read Chapter 10 "Cycle Swing Indicator: Trading the swing of the dominant cycle" of the book "Decoding the Hidden Market Rhythm, Part 1" available at your favorite book store.
Related ideas:
Please also check the cyclic RSI indicator which also uses cyclic information to improve the signal.
[blackcat] L2 Ehlers Dual Differential Cycle Period MeasurerLevel: 2
Background
John F. Ehlers introuced Dual Differential Cycle Period Measurer in his "Rocket Science for Traders" chapter 7. The In-phase and Quadrature components are computed with the Hilbert Transformer using procedures identical to those in the Dual Differentiator.
Function
blackcat L2 Ehlers Homodyne Discriminator Cycle Period Measurer is used to measure Dominant Cycle (DC). This is one of John Ehlers three major methods to measure DC. These components undergo a complex averaging and are smoothed in an EMA to avoid any undesired cross products in the multiplication step that follows. The period is solved directly from the smoothed Inphase and Quadrature components. The interim calculation for the denominator is performed as Value1 to ensure that the denominator will not have a zero value. The sign of Valuel is reversed relative to the theoretical equation because the differences are looking backward in time.
Key Signal
Smooth --> 4 bar WMA w/ 1 bar lag
Detrender --> The amplitude response of a minimum-length HT can be improved by adjusting the filter coefficients by
trial and error. HT does not allow DC component at zero frequency for transformation. So, Detrender is used to remove DC component/ trend component.
Q1 --> Quadrature phase signal
I1 --> In-phase signal
Period --> Dominant Cycle in bars
SmoothPeriod --> Period with complex averaging
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 4th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
[blackcat] L2 Ehlers Phase Accumulator Cycle Period MeasurerLevel: 2
Background
John F. Ehlers introuced Phase Accumulation technique of cycle period measurement in his "Rocket Science for Traders" chapter 7. It is perhaps the easiest to comprehend. In this technique, John Ehlers measures the phase at each sample by taking the arctangent of the ratio of the Quadrature component to the In-phase component. A delta phase is generated by taking the difference of the phase between successive samples. At each sample Dr. Ehlers then looks backward, adding up the delta phases. When the sum of the delta phases reaches 360 degrees (2*pi in tradingview), we must have passed through one full cycle, on average. The process is repeated for each new sample.
Function
blackcat L2 Ehlers Phase Accumulator Cycle Period Measurer is used to measure Dominant Cycle (DC). This is one of John Ehlers three major methods to measure DC. The Phase Accumulation method of cycle measurement always uses one full cycle’s worth of historical data. This is both an advantage and disadvantage. The advantage is the lag in obtaining the answer scales directly with the cycle period. That is, the measurement of a short cycle period has less lag than the measurement of a longer cycle period. However, the number of samples used in making the measurement means the averaging period is variable with cycle period. Longer averaging reduces the noise level compared to the signal. Therefore, shorter cycle periods necessarily have a higher output Signal-to-Noise Ratio (SNR).
Key Signal
Smooth --> 4 bar WMA w/ 1 bar lag
Detrender --> The amplitude response of a minimum-length HT can be improved by adjusting the filter coefficients by
trial and error. HT does not allow DC component at zero frequency for transformation. So, Detrender is used to remove DC component/ trend component.
Q1 --> Quadrature phase signal
I1 --> In-phase signal
Period --> Dominant Cycle in bars
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 2nd script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Shenlong V2.3 - Trend cycleShenlong V2 is a script developed to facilitate the interpretation of long and short entries according to various conditionals that play with the trend.
The use of trend clouds has been implemented, which can be used as dynamic support / resistance . They also allow us to identify the current price cycle according to these guidelines, marking with a LONG or SHORT depending on the cycle in question. The appearance settings are user configurable. You can set alerts (long o short) to be aware of movements.
The use of recommended stop loss has been implemented, this can be used as a trailing stop to ensure profits or give the possibility of catching the trend, since it will move as the price forms its structure.
An information panel on stop prices has been implemented for ease of use.
Strategy - Uber STC - Schaff Trend Cycle [UTS]Backtesting of Uber STC - Schaff Trend Cycle
Backtest with focus win/loss profitability.
Formula: profitability = win / (win+loss)
Default equity 100k USD
Default 2% Risk per trade
Default currency USD
Define backtest interval precisely by month, year, day
LONG and SHORT positions
Visualize SL and TP on chart
ATR (len: 14, smooth: SMA)
ATR based Stop-Loss, if hit trade will be closed and considered as loss
ATR based Take-Profit, if hit trade will be closed and considered as win
On TP or SL hit the trade is closed and marked as win/loss
Uber STC - Schaff Trend Cycle [UTS]Desc:
The Schaff Trend Cycle (STC) is a charting indicator that is commonly used to identify market trends and provide
buy and sell signals to traders.
Developed in 1999 by noted currency trader Doug Schaff, STC is a type of oscillator and is based on the assumption that,
regardless of time frame, currency trends accelerate and decelerate in cyclical patterns.
This indicators source code is based on Releasing the Code to the Schaff Trend Cycle.pdf
Executive Summary
Schaff Trend Cycle is a charting indicator used to help spot buy and sell points in the markets.
Compared to the popular MACD indicator, STC will react faster to changing market conditions.
A drawback to STC is that it can stay in overbought or oversold territory for long stretches of time.
General Usage
There are two lines indicating overbought and oversold conditions, default at 75 and 25 which is customizable of course.
Signals are created on line crosses. They that can be used to enter LONG/SHORT or EXIT a trade.
If the STC crosses the lower line upwards a LONG signal is triggered and if it crosses the upper line a SHORT signal is triggered.
Line crosses in the other direction than the current trade also work as EXIT signal.
Alerts
Traders can easily use the reversal signal to trigger alerts from:
Cross Up
Cross Down
Those values are > zero if a condition is triggered.
Alert condition example: "Cross Up" - "Greater Than" - "0"
Moving Averages
16 different Moving Averages are available:
ALMA (Arnaud Legoux Moving Average)
DEMA (Double Exponential Moving Average)
EMA (Exponential Moving Average)
FRAMA (Fractal Adaptive Moving Average)
HMA (Hull Moving Average)
JURIK (Jurik Moving Average)
KAMA (Kaufman Adaptive Moving Average)
Kijun (Kijun-sen / Tenkan-sen of Ichimoku)
LSMA (Least Square Moving Average)
RMA (Running Moving Average)
SMA (Simple Moving Average)
SuperSmoothed (Super Smoothed Moving Average)
TEMA (Triple Exponential Moving Average)
VWMA (Volume Weighted Moving Average)
WMA (Weighted Moving Average)
ZLEMA (Zero Lag Moving Average)
A freely determinable length allows for sensitivity adjustments that fits your own requirements.
Ehlers Cyber Cycle [CC]The Cyber Cycle was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pg 34) and this is one of my favorite Ehlers indicators. I use it personally for exits but it has several uses. It gives great entry and exit signals when you enter when it is at the bottom or at the very top during a cycle. When it is above 0 then the stock is in a strong uptrend and when it is below 0 then the stock is in a strong downtrend. It is also very reactive as well with zero lag according to Ehlers. Buy when the indicator line is green and sell when it is red.
Let me know if there are other scripts you would like to see me publish or if you want something custom done!
Ehlers Sinewave Indicator V2 [CC]The Sinewave Indicator was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pgs 154-155) and this is an updated version of his original Sinewave Indicator which in my opinion seems to be more reactive to changes. Buy when the blue line crosses over the red line and sell when the blue line crosses under the red line. Also keep in mind that this indicator is based on cycles so it won't act the same as a typical indicator.
Let me know if there are other scripts you would like to see me publish or if you want something custom done!
Mercury Retrograde Cycles V2 [Moon]Plots Mercury Retrograde cycles from start to end.
What is Mercury Retrograde?
Mercury Retrograde is when the planet Mercury appears to be traveling in reverse or backwards across the night sky with respect to the stars, the zodiac, and other bodies in the celestial canopy.
It happens when Mercury goes in between the Earth and the Sun. Basically, Mercury is lapping or passing Earth during this period.
An illusion created by the way that Earth and Mercury orbit around the sun. In reality, this is both planets perpetually orbiting in the same uniform direction.
In ancient Roman mythology Mercury is supposed to rule all types of communication including - buying, selling, speaking, reading or contractual agreements.
Does this work or mean anything
I don't hold the answers to the universe you'll have to go looking for yourself.
Works best right now on the Daily (D) timeframe.
Send me a DM if interested.
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
