MACD DEMA by ToffMACD DEMA by Toff
converted to version 5
Changed Histogram formatting
Changed MACD plot to indicate macd direction change
//@version=5
//by ToFFF converted to version 5, changed histogram formating changed macd plot to show macd direction changed with lighter color
indicator('MACD DEMA', timeframe = "", timeframe_gaps=true)
sma = input(12,title='DEMA Short')
lma = input(26,title='DEMA Long')
tsp = input(9,title='Signal')
lines = input(true,title="Lines")
col_grow_above = input(#26A69A, "Above Grow", group="Histogram", inline="Above")
col_fall_above = input(#B2DFDB, "Fall", group="Histogram", inline="Above")
col_grow_below = input(#FFCDD2, "Below Grow", group="Histogram", inline="Below")
col_fall_below = input(#FF5252, "Fall", group="Histogram", inline="Below")
col_macd = input(#2962FF, "MACD Line ", group="Color Settings", inline="MACD")
col_signal = input(#FF6D00, "Signal Line ", group="Color Settings", inline="Signal")
col_macd_i = #0000FF
col_macd_d = #66FFFF
slowa = ta.ema(close,lma)
slowb = ta.ema(slowa,lma)
DEMAslow = ((2 * slowa) - slowb)
fasta = ta.ema(close,sma)
fastb = ta.ema(fasta,sma)
DEMAfast = ((2 * fasta) - fastb)
MACD = (DEMAfast - DEMAslow)
signala = ta.ema(MACD, tsp)
signalb = ta.ema(signala, tsp)
signal = ((2 * signala) - signalb)
hist = (MACD - signal)
//swap1 = MACDZeroLag>0?green:red
plot(hist,style=plot.style_columns, color=(hist>=0 ? (hist < hist ? col_grow_above : col_fall_above) : (hist < hist ? col_grow_below : col_fall_below)),title='HIST')
p1 = plot(lines?MACD:na,style = plot.style_line, color=(MACD < MACD) ? col_macd_i : col_macd_d , linewidth =3,title='MACD')
p2 = plot(lines?signal:na, color=col_signal, linewidth =2,title='Signal')
hline(0)
แมคดี (MACD)
Inverse MACD + DMI Scalping with Volatility Stop (By Coinrule)This script is focused on shorting during downtrends and utilises two strength based indicators to provide confluence that the start of a short-term downtrend has occurred - catching the opportunity as soon as possible.
This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to hodl this cash, or use it to reinvest when the market reaches attractive buying levels.
Alternatively, you can use this when trading contracts on futures markets where there is no need to already own the underlying asset prior to shorting it.
ENTRY
The trading system uses the Momentum Average Convergence Divergence (MACD) indicator and the Directional Movement Index (DMI) indicator to confirm when the best time is for selling. Combining these two indicators prevents trading during uptrends and reduces the likelihood of getting stuck in a market with low volatility.
The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 12-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
The DMI indicates what way price is trending and compares prior lows and highs with two lines drawn between each - the positive directional movement line (+DI) and the negative directional movement line (-DI). The trend can be interpreted by comparing the two lines and what line is greater. When the negative DMI is greater than the positive DMI, there are more chances that the asset is trading in a sustained downtrend, and vice versa.
The system will enter trades when two conditions are met:
1) The MACD histogram turns bearish.
2) When the negative DMI is greater than the positive DMI.
EXIT
The strategy comes with a fixed take profit combined with a volatility stop, which acts as a trailing stop to adapt to the trend's strength. Depending on your long-term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive.
The position is closed when:
Take-Profit Exit: +8% price decrease from entry price.
OR
Stop-Loss Exit: Price crosses above the volatility stop.
In general, this approach suits medium to long term strategies. The backtesting for this strategy begins on 1 April 2022 to 18 July 2022 in order to demonstrate its results in a bear market. Back testing it further from the beginning of 2022 onwards further also produces good returns.
Pairs that produce very strong results include SOLUSDT on the 45m timeframe, MATICUSDT on the 2h timeframe, and AVAUSDT on the 1h timeframe. Generally, the back testing suggests that it works best on the 45m/1h timeframe across most pairs.
A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Sherry on Crypto - MACD ScalpingThis indicator is originally made by someone else, I just modified it to increase its win rate.
How to use this indicator?
Step 1: This indicator only works in 5 minutes timeframe (BTC) . Apply 5 minutes timeframe in Tradingview.
Step 2: Apply 2 EMA(s), 1st EMA length 50, 2nd EMA length 200.
Step 3: Draw support and resistance and understand price action as well.
Step 4: Use RSI along with this indicator.
Strategy: When you see a down tick on the MACD in 5 minutes timeframe,
you are allow to take a long position. When you see an up tick on the MACD in 5 minutes timeframe, you are allow to take a Short position,
but RSI should be Included (you can do your own settings of RSI).
Recommended TP 0.50 and SL 0.40.
Variety Moving Average Waddah Attar Explosion (WAE) [Loxx]Variety Moving Average Waddah Attar Explosion is a Waddah Attar Explosion after the original version created over a decade ago. This version has ATR and Pips calculated dead-zone as well as 35+ moving averages to choose from for all moving average calculations.
What is Waddah Attar Explosion?
Waddah Attar Explosion is a momentum indicator that accounts for volatility in the market. It is the combination of MACD and Bollinger Bands with volatility cutoffs to determine entry and exit points.
How to use:
Strong uptrend when dark green arrow points up
Weak uptrend when light green arrow points up
Strong downtrend when dark red arrow points down
Weak downtrend when light red arrow points down
Included:
35+ moving averages
Controls over explosion and trend filtering
Bar coloring
Dead-zone coloring
ATR and Pips-based dead zone cutoffs
Alerts
MACD CandleInstead of viewing MACD from a separate chart (histogram), this indicator will plot a candle based on the MACD value. It is easy to summarize trends and make your technical analysis charting less complex.
MACD S/R signal indicatorI've based the script on my MACDs/r indicator.
I think it works better on higher timeframes, this is just an experiment, please feel free to modify it.
I have been testing it with parabolic SARS to know when to exit the trades.
Exit condition: if I'm in a log position and the price is below the last bearish parabolic SARS dot I exit the trade and the opposite for shorts
DISCLAIMER: Is just an experiment and I haven't test it with real money, be careful
MACD Potential Divergence - FontiramisuIndicator showing potential momentum divergences on MACD Momentum.
The problem with the classic divergence is that when the signal appears, it is sometimes too late to enter a trade .
The potential divergence corrects this problem by signaling the beginning of a potential divergence .
MACD is a momentum indicator that offers relevant insights with divergences.
Potential divergences are indicated with the letter B and a red color for Bearish Div or Green color for Bullish Div .
Potential divergence is confirmed when the line and the label "Bear"' or "Bull" appear.
ComiCo - Joel on Crypto - MACD ScalpingThis is a modified (hopefully improved) version of the "Joel on Crypto - MACD Scalping" indicator. It got turned into a strategy, and added some extra filters, like number of trades after EMA cross, minimal EMA distance (EMA 50's distance from the EMA 200). It is just an experiment to see how good this scalping strategy can get.
Play around with it and let me know if you found good settings, or just have a comment on it.
I could get fairly good results on BTCUSDT 5m with these settings (all others left on default values):
Ticks Avg. Multiplier = 1.4
Max trades after EMA cross = 16
Limit Price Difference = 0
Take Profit = 0.0065
Stop Loss = 0.0085
Min EMA difference = 110
Pyramiding = 3
WSTF RSI2 IndicatorThis is the Indicator replicating the basic RSI(2) created by Wilders.
Buy condition:
(RSI(2) crossed under 10) & (close > EMA(200)) & (EMA(5) > close)
Sell condition:
(RSI(2) crossed over 90) & (close < EMA(200)) & (EMA(5) < close)
You can play around with the script by adjusting the RSI Values, EMA values and crossover & crossunder threshold.
We will update the script with new features in the futures.
Please don't hesitate to share some Ideas or Feedbacks, we would be happy to improve the script for you !
Have fun !
WS TradingFactory
Probability Density Function based MA MACD [Loxx]Probability Density Function based MA MACD is a MACD indicator using a type of weighted moving average.
What is Probability Density Function based MA MACD?
Probability density function based MA is a sort of weighted moving average that uses probability density function to calculate the weights.
Included:
-Toggle on/off bar coloring
Short Swing Bearish MACD Cross (By Coinrule)This strategy is oriented towards shorting during downside moves, whilst ensuring the asset is trading in a higher timeframe downtrend, and exiting after further downside.
This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to hodl this cash, or use it to reinvest when the market reaches attractive buying levels. Alternatively, you can use this when trading contracts on futures markets where there is no need to already own the underlying asset prior to shorting it.
ENTRY
This script utilises the MACD indicator accompanied by the Exponential Moving Average (EMA) 450 to enter trades. The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 11-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
The EMA 450 is used as additional confirmation to prevent the script from shorting when price is above this long-term moving average. Once price is above the EMA 450 the script will not open any shorts - preventing the rule from attempting to short uptrends. Due to this, this strategy is ideal for setting and forgetting.
The script will enter trades based on two conditions:
1) When the MACD signals a bearish cross. This occurs when the EMA 11 crosses below the EMA 26 within the MACD signalling the start of a potential downtrend.
2) Price has closed below the EMA 450. Price closing below this long-term EMA signals that the asset is in a sustained downtrend. Price breaking above this could indicate a bullish strength in which shorting would not be profitable.
EXIT
This script utilises a set take-profit and stop-loss from the entry of the trade. The take profit is set at 8% and the stop loss of 4%, providing a risk reward ratio of 2. This indicates the script will be profitable if it has a win ratio greater than 33%.
Take-Profit Exit: -8% price decrease from entry price.
OR
Stop-Loss Exit: +4% price increase from entry price.
Based on backtesting results across a selection of assets, the 45-minute and 1-hour timeframes are the best for this strategy.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
The backtesting data was recorded from December 1st 2021, just as the market was beginning its downtrend. We therefore recommend analysing the market conditions prior to utilising this strategy as it operates best on weak coins during downtrends and bearish conditions, however the EMA 450 condition should mitigate entries during bullish market conditions.
MACD XDThis indicator is based on the classic MACD indicator, and with the following additional features:
1. Another set of MACD and signal lines (green and orange) is added for analyzing a bigger trend in a higher time frame. The default set of MACD and signal lines (red and blue) are used for the smaller trend (current time frame).
2. Small upward and downward triangles are added to mark the golden and death crosses of MACD and signal lines: Blue and red triangles (buy and sell signals) - golden and death crosses of MACD and signal lines for the smaller trend (current time frame), green and orange triangles (buy and sell signals) - golden and death crosses of MACD and signal lines for the bigger trend (a higher time frame).
3. The total areas of histograms above and below the MACD zero axis are calculated and shown by the numbers next to the histogram. This information can be used to analyze the top and bottom divergences of the smaller trend (current time frame).
4. A line connecting peaks of adjacent positive or negative histograms is drawn when top and bottom divergences occur, which indicates a potential trend reversal.
This indicator can be used in the following way: after a golden cross occurs in the bigger trend (green arrow), a death cross in the smaller trend (red arrow) may lead to a potential long entry at the pull back of the bigger up trend; after a death cross occurs in the bigger trend (orange arrow), a golden cross in the smaller trend (blue arrow) may lead to a potential short entry at the pull back of the bigger down trend. Note that in general, golden crosses occur when MACD and signal lines are above the zero axis means a higher high will be made, and death crosses occur when MACD and signal lines are below the zero axis means a lower low will be made. On the contrary, golden crosses occurring below the zero axis or death crosses occurring above the zero axis may only lead to a potential pull back in a trend.
本指标基于经典的MACD指标，适合与缠论指标结合使用：
1. 加入第二组MACD线和信号线，适用于辅助判断缠论中的线段背离。
2. 加入计算直方图（红绿柱子）面积的部分，有助于判断缠论中的笔背离。
3. 标注出两组MACD线与信号线的金叉死叉，以及用特殊颜色表示零轴上方金叉和零轴下方死叉的情况。
4. 用直线标注出顶底背离发生的情况，利于准确分辨和判断。
Disclosure of 'MACD-Total' indicator (MACD-T)hello?
Traders, welcome.
If you "follow", you can always get new information quickly.
Please also click "Like".
Have a good day.
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A trend indicator has been added to the previously published MACD-Price indicator.
The added MS-Signal indicator is an indicator for viewing the trend and the strength of the trend.
Trading with a trend line is not easy.
Therefore, various MA lines or slanted lines drawn on the chart are used to see the flow of the chart.
Therefore, it is not recommended to trade with the added MS-Signal indicator as support and resistance points.
A trade requires support and resistance points.
To mark support and resistance points, you need a point or section on the horizontal line.
Therefore, it is necessary to utilize the 'Buy/Sell' indicator corresponding to the previously disclosed MACD-Price indicator.
(1W chart)
The long horizontal point of the 'Buy/Sell' indicator serves as support and resistance.
It is possible to check in which section the trend reversal has changed by displaying the MS-Signal indicator.
(1D chart)
A move has emerged to show a reversal of the trend by breaking above the MS-Signal indicator.
Therefore, the MS-Signal indicator is about to change from a downtrend to an uptrend.
I numbered the horizontal line of the 'Buy/Sell' indicator.
The length is different in the order of No. 2 > No. 1 > No. 3.
Since horizontal line 2 is the longest, it indicates that support and resistance play the greatest role.
If you check the support at the first horizontal point, it can be interpreted that there is a high possibility of receiving resistance at the second horizontal point.
However, if you find support at the 2nd horizontal point, you can see that it will go up significantly with 3rd position.
Trading with indicators allows you to make quick choices and decisions.
However, more important than the use of indicators is your own trading strategy.
in other words,
- How much investment will you proceed with the purchase?
- How to proceed with installment purchases
- At what point will the Stop Loss be done?
- How long will the investment period be?
- Is it a long-term investment or a short-term investment?
As listed above, the most important trading strategy for trading should be established.
When conducting a trade, ignoring the above list and thinking about where to buy and where to sell is like sailing in the dark.
We disclose the indicators in the hope that it will become a faster and more objective indicator for trading with the trading strategy you have established.
thank you
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Joel on Crypto - MACD ScalpingJoel on Crypto - MACD Scalping
This is a Scalping indicator primarily intended for the 5 minute time frame.
It is based on the Crypto Scalping YouTuber Joel on Crypto's popular 5 minute scalping strategy and this is the indicator he personally use when Scalping.
This is a Multi-timeframe indicator where if you use it on the 5 minute time frame, the MACD Histogram bars will be based on the 1 minute timeframe.
The purpose of this indicator is not to trade it like a bot. The purpose is to grab the traders attention a time where there COULD be a scalping opportunity.
Use this indicator at your own risk.
Adaptive, Jurik-Filtered, JMA/DWMA MACD [Loxx]Adaptive, Jurik-Filtered, JMA/DWMA MACD is MACD oscillator with a twist. The traditional calculation of MACD is the between two EMAs of price. This traditional approach yields a very noisy and lagged signal. To solve this problem, JMA/DWMA MACD uses the difference between adaptive Juirk-Filtered price and adaptive DWMA to yield a marked improvement over traditional MACD.
What is JMA / DWMA oscillator (MACD)?
Of all the different combinations of moving average filters to use for a MACD oscillator, we prefer using the JMA - DWMA combination.
JMA is ideal for the fast moving average line because it is quick to respond to reversals, is smooth and can be set to have no overshoot. DWMA (double weighted moving average) is ideal for the slower line as is tends to delay reversing direction until JMA crosses it.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Included
- Toggle on/off bar coloring
Adaptive Jurik Filter MACD [Loxx]Adaptive Jurik Filter MACD uses Jurik Volty and Adaptive Double Jurik Filter Moving Average (AJFMA) to derive Jurik Filter smoothed volatility.
What is MACD?
Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA.
The result of that calculation is the MACD line. A nine-day EMA of the MACD called the "signal line," is then plotted on top of the MACD line, which can function as a trigger for buy and sell signals. Traders may buy the security when the MACD crosses above its signal line and sell—or short—the security when the MACD crosses below the signal line. Moving average convergence divergence (MACD) indicators can be interpreted in several ways, but the more common methods are crossovers, divergences, and rapid rises/falls.
What is Jurik Volty?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
That's why investors, banks and institutions worldwide ask for the Jurik Research Moving Average ( JMA ). You may apply it just as you would any other popular moving average. However, JMA's improved timing and smoothness will astound you.
What is adaptive Jurik volatility?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Included
- Change colors of oscillators and bars
5 min scalp macd5 min scalp macd, 5 min scalp macd, 5 min scalp macd, 5 min scalp macd, 5 min scalp macd, 5 min scalp macd, 5 min scalp macd, 5 min scalp macd
SPX Scalping StrategyThis strategy points out good entries and exits to go with the direction of SPY
Used with:
Ticker: SPX 500 USD
Heiken Ashi Candles
1, 3, 5 min timeframe
MACD Indicator for 5 Min ScalpThis Indicator merges the 1 min MACD with BollingerBands to dedect a bigger than avarage tick on the Macd for the 5 min Scalping Strategy
You can change the length of the bollinger bands for the upper and lower channel individually so that you can get better signals
if a tick is bigger than avarage it will be colored, else it would be gray
this is the same indicator i used to get entrys in my 5 min scalping statagy, but i wouldnt just go in a trade when there is a bigger than usual tick. You have to look at other things to
RSX of Double MACD [Loxx]RSX of Double MACD is a specialized version of the classic MACD. Normally the MACD calculation ends with the difference between fast/slow EMAs, this version of MACD takes the calculation one step further by passing the MACD signal into an RSX RSI function to derive a smoother MACD bound from 0 to 100.
What is MACD?
Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA.
What is RSX?
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
Included
-Customizable inputs and boundaries
Parabolic SAR MARSI, Adaptive MACD [Loxx]Parabolic SAR MARSI, Adaptive MACD is a trend following indicator that combines MACD, Parabolic SAR, and RSI into a signal indicator.
What is Parabolic SAR?
The parabolic stop and reverse, more commonly known as the "Parabolic SAR," or "PSAR" is a trend-following indicator developed by J. Welles Wilder. It is displayed as a single parabolic line (or dots) underneath the price bars in an uptrend, and above the price bars in a downtrend.
What is MACD?
Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA.
What is RSI?
The relative strength index (RSI) is a momentum indicator used in technical analysis that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is displayed as an oscillator (a line graph that moves between two extremes) and can have a reading from 0 to 100. The indicator was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”
How to combine PSAR, MACD, and RSI into one:
1. Create a new type of moving average called MARSI. MARSI is like a typical moving average but it flexes to RSI sensitivities
2. Calculate MACD for the MARSI of High/Low values
3. Calculate the midpoint MACD between the High/Low MACDs created in step 2
4. Create a final MACD by calculating the MARSI for the midpoint MACD created in step 3
5. Finally, Inject these values into a customized Parabolic SAR function
Results:
-A unique spin on three different indicators that identifies trends of both RSI, MACD, and price of the underlying asset
-Entry, exit, and reversal points in price, RSI, and MACD
-A MACD that adapts to RSI
What's Included?
-Customization of all variables
-A variety of moving averages to smooth the signal line
-Customizable colors
-Alerts for MACD zero-line and signal crosses, and PSAR trend direction changes
Things to know:
-The histogram in this indicator is NOT the normal histogram found in the classic MACD indicator. The histogram here is a histogram of MACD itself. The classic histogram has questionable utility but the histogram in this indicator is very important and useful
-Parabolic SAR is calculated on the MARSI of High/Low values
Future releases:
-Divergences
-Regular, continuation, and exit signals
Happy trading!
Adaptive, Zero lag Schaff Trend Cycle [Loxx]TASC's March 2008 edition Traders' Tips includes an article by John Ehlers titled "Measuring Cycle Periods," and describes the use of bandpass filters to estimate the length, in bars, of the currently dominant price cycle.
What are Dominant Cycles and Why should we use them?
Even the most casual chart reader will be able to spot times when the market is cycling and other times when longer-term trends are in play. Cycling markets are ideal for swing trading however attempting to “trade the swing” in a trending market can be a recipe for disaster. Similarly, applying trend trading techniques during a cycling market can equally wreak havoc in your account. Cycle or trend modes can readily be identified in hindsight. But it would be useful to have an objective scientific approach to guide you as to the current market mode.
There are a number of tools already available to differentiate between cycle and trend modes. For example, measuring the trend slope over the cycle period to the amplitude of the cyclic swing is one possibility.
We begin by thinking of cycle mode in terms of frequency or its inverse, periodicity. Since the markets are fractal ; daily, weekly, and intraday charts are pretty much indistinguishable when time scales are removed. Thus it is useful to think of the cycle period in terms of its bar count. For example, a 20 bar cycle using daily data corresponds to a cycle period of approximately one month.
When viewed as a waveform, slow-varying price trends constitute the waveform's low frequency components and day-to-day fluctuations (noise) constitute the high frequency components. The objective in cycle mode is to filter out the unwanted components--both low frequency trends and the high frequency noise--and retain only the range of frequencies over the desired swing period. A filter for doing this is called a bandpass filter and the range of frequencies passed is the filter's bandwidth.
Indicator Features
-Zero lag or Regular Schaff Trend Cycle calculation
- Fixed or Band-pass Dominant Cycle for Schaff Trend Cycle MA period inputs
-10 different moving average options for Zero lag calculations
-Separate Band-pass Dominant Cycle calculations for both Schaff Trend Cycle and MA calculations
- Slow-to-Fast Band-pass Dominant Cycle input to tweak the ratio of Schaff Trend Cycle MA input periods as they relate to each other
Hybrid, Zero lag, Adaptive cycle MACD [Loxx]TASC's March 2008 edition Traders' Tips includes an article by John Ehlers titled "Measuring Cycle Periods," and describes the use of bandpass filters to estimate the length, in bars, of the currently dominant price cycle.
What are Dominant Cycles and Why should we use them?
Even the most casual chart reader will be able to spot times when the market is cycling and other times when longer-term trends are in play. Cycling markets are ideal for swing trading however attempting to “trade the swing” in a trending market can be a recipe for disaster. Similarly, applying trend trading techniques during a cycling market can equally wreak havoc in your account. Cycle or trend modes can readily be identified in hindsight. But it would be useful to have an objective scientific approach to guide you as to the current market mode.
There are a number of tools already available to differentiate between cycle and trend modes. For example, measuring the trend slope over the cycle period to the amplitude of the cyclic swing is one possibility.
We begin by thinking of cycle mode in terms of frequency or its inverse, periodicity. Since the markets are fractal; daily, weekly, and intraday charts are pretty much indistinguishable when time scales are removed. Thus it is useful to think of the cycle period in terms of its bar count. For example, a 20 bar cycle using daily data corresponds to a cycle period of approximately one month.
When viewed as a waveform, slow-varying price trends constitute the waveform's low frequency components and day-to-day fluctuations (noise) constitute the high frequency components. The objective in cycle mode is to filter out the unwanted components--both low frequency trends and the high frequency noise--and retain only the range of frequencies over the desired swing period. A filter for doing this is called a bandpass filter and the range of frequencies passed is the filter's bandwidth .
Indicator Features
-Zero lag or Regular MACD/signal calculation
- Fixed or Band-pass Dominant Cycle for MACD and Signal MA period inputs
-10 different moving average options for both MACD and Signal MA calculations
-Separate Band-pass Dominant Cycle calculations for both MACD and Signal MA calculations
- Slow-to-Fast Band-pass Dominant Cycle input to tweak the ratio of MACD MA input periods as they relate to each other
