Multi-Functional Fisher Transform MTF with MACDL TRIGGERWhat this indicator gives you is a true signal when price is exhausted and ready for a fast turnaround. Fisher Transform is set for multi-time frame and also allows the user to change the length. This way a user can compare two or more time spans and lengths to look for these MACDL divergent triggers after a Fisher exhaustion. With so many indicators, it's probably best to merge these indicators and change the Fisher and Trigger colors so you can still have a look at price action (remember to scale right after merger). I've noticed from time to time when you have Fisher 34 100 and 300 up and running on two different time frames such as 5 and 15 min charts, with MACDL triggers on the 100/300 or 34/100 you get a high probability trade trigger. However, there are rare exceptions such as when price moves in a parabolic state up or down for a long period where this indication does not work. Ideally this indicator works best in a sideways market or slow rising/descending moving market.
This indicator was worked on by Glaz, nmike and myself
LazyBear also introduced the MACDL indicator
ابحث في النصوص البرمجية عن "手机同花顺macd指标超出框架"
VWMA MACD Amanita Buy/Sell Signals VWMA MACD Amanita Buy/Sell Signals – Volume-Weighted Momentum Indicator
A twist on the classic MACD: this indicator uses Volume Weighted Moving Averages (VWMA) instead of EMAs, giving more weight to price moves backed by higher volume.
Features:
VWMA-based MACD line & signal line
Histogram highlights bullish/bearish momentum
Color-coded for easy visualization
Quick Guide:
MACD above Signal → bullish
MACD below Signal → bearish
Rising histogram → strengthening trend
Falling histogram → weakening trend
Perfect for traders who want momentum confirmed by volume.
Institutional MACD (Z-Score Edition) [VolumeVigilante]📈 Institutional MACD (Z-Score Edition) — Professional-Grade Momentum Signal
This is not your average MACD .
The Institutional MACD (Z-Score Edition) is a statistically enhanced momentum tool, purpose-built for serious traders and breakout hunters . By applying Z-Score normalization to the classic MACD structure, this indicator uncovers statistically significant momentum shifts , enabling cleaner reads on price extremes, trend continuation, and potential reversals.
💡 Why It Matters
The classic MACD is powerful — but raw momentum values can be noisy and relative , especially on volatile assets like BTC/USD . By transforming the MACD line, signal line, and histogram into Z-scores , we anchor these signals in statistical context . This makes the Institutional MACD:
✔️ Timeframe-agnostic and asset-normalized
✔️ Ideal for spotting true breakouts , not false flags
✔️ A reliable tool for detecting momentum divergence and exhaustion
🧪 Key Features
✅ Full Z-Score normalization (MACD, Signal, Histogram)
✅ Highlighted ±Z threshold bands for overbought/oversold zones
✅ Customizable histogram coloring for visual momentum shifts
✅ Built-in alerts for zero-crosses and Z-threshold breaks
✅ Clean overlay with optional display toggles
🔁 Strategy Tip: Mean Reversion Signals with Statistical Confidence
This indicator isn't just for spotting breakouts — it also shines as a mean reversion tool , thanks to its Z-Score normalization .
When the Z-Score histogram crosses beyond ±2, it marks a statistically significant deviation from the mean — often signaling that momentum is overstretched and the asset may be due for a pullback or reversal .
📌 How to use it:
Z > +2 → Price action is in overbought territory. Watch for exhaustion or short setups.
Z < -2 → Momentum is deeply oversold. Look for reversal confirmation or long opportunities.
These zones often precede snap-back moves , especially in range-bound or corrective markets .
🎯 Combine Z-Score extremes with:
Candlestick confirmation
Support/resistance zones
Volume or price divergence
Other mean reversion tools (e.g., RSI, Bollinger Bands)
Unlike the raw MACD, this version delivers statistical thresholds , not guesswork — helping traders make decisions rooted in probability, not emotion.
📢 Trade Smart. Trade Vigilantly.
Published by VolumeVigilante
[F.B]_ZLEMA MACD ZLEMA MACD – A Zero-Lag Variant of the Classic MACD
Introduction & Motivation
The Moving Average Convergence Divergence (MACD) is a standard indicator for measuring trend strength and momentum. However, it suffers from the latency of traditional Exponential Moving Averages (EMAs).
This variant replaces EMAs with Zero Lag Exponential Moving Averages (ZLEMA), reducing delay and increasing the indicator’s responsiveness. This can potentially lead to earlier trend change detection, especially in highly volatile markets.
Calculation Methodology
2.1 Zero-Lag Exponential Moving Average (ZLEMA)
The classic EMA formula is extended with a correction factor:
ZLEMA_t = EMA(2 * P_t - EMA(P_t, L), L)
where:
P_t is the closing price,
L is the smoothing period length.
2.2 MACD Calculation Using ZLEMA
MACD_t = ZLEMA_short,t - ZLEMA_long,t
with standard parameters of 12 and 26 periods.
2.3 Signal Line with Adaptive Methodology
The signal line can be calculated using ZLEMA, EMA, or SMA:
Signal_t = f(MACD, S)
where f is the chosen smoothing function and S is the period length.
2.4 Histogram as a Measure of Momentum Changes
Histogram_t = MACD_t - Signal_t
An increasing histogram indicates a relative acceleration in trend strength.
Potential Applications in Data Analysis
Since the indicator is based solely on price time series, its effectiveness as a standalone trading signal is limited. However, in quantitative models, it can be used as a feature for trend quantification or for filtering market phases with strong trend dynamics.
Potential use cases include:
Trend Classification: Segmenting market phases into "trend" vs. "mean reversion."
Momentum Regime Identification: Analyzing histogram dynamics to detect increasing or decreasing trend strength.
Signal Smoothing: An alternative to classic EMA smoothing in more complex multi-factor models.
Important: Using this as a standalone trading indicator without additional confirmation mechanisms is not recommended, as it does not demonstrate statistical superiority over other momentum indicators.
Evaluation & Limitations
✅ Advantages:
Reduced lag compared to the classic MACD.
Customizable signal line smoothing for different applications.
Easy integration into existing analytical pipelines.
⚠️ Limitations:
Not a standalone trading system: Like any moving average, this indicator is susceptible to noise and false signals in sideways markets.
Parameter sensitivity: Small changes in period lengths can lead to significant signal deviations, requiring robust optimization.
Conclusion
The ZLEMA MACD is a variant of the classic MACD with reduced latency, making it particularly useful for analytical purposes where faster adaptation to price movements is required.
Its application in trading strategies should be limited to multi-factor models with rigorous evaluation. Backtests and out-of-sample analyses are essential to avoid overfitting to past market data.
Disclaimer: This indicator is provided for informational and educational purposes only and does not constitute financial advice. The author assumes no responsibility for any trading decisions made based on this indicator. Trading involves significant risk, and past performance is not indicative of future results.
[Venturose] MACD x BB x STDEV x RVIDescription:
The MACD x BB x STDEV x RVI combines MACD, Bollinger Bands, Standard Deviation, and Relative Volatility Index into a single tool. This indicator is designed to provide insights into market trends, momentum, and volatility. It generates buy and sell signals, by analyzing the interactions between these components. These buy and sell signals are not literal, and should be used in combination with the current trend.
How It Works:
MACD: Tracks momentum and trend direction using customizable fast and slow EMA periods.
Bollinger Bands: Adds volatility bands to MACD to identify overextension zones.
Standard Deviation: Dynamically adjusts the Bollinger Band width based on MACD volatility.
RVI (Relative Volatility Index): Confirms momentum extremes with upper and lower threshold markers.
Custom Logic: Includes a trigger system ("inside" or "flipped") to adapt signals to various market conditions and an optional filter to reduce noise.
Key Features:
Combines MACD and Bollinger Bands with volatility and momentum confirmations from RVI.
Dynamic color-coded plots for identifying bullish, bearish, and neutral trends.
Customizable parameters for tailoring the indicator to different strategies.
Optional signal filtering to refine buy and sell triggers.
Alerts for buy and sell signals based on signal logic.
Why It’s Unique:
This indicator combines momentum (MACD), volatility (Bollinger Bands and Standard Deviation), and confirmation signals (RVI thresholds) into a unified system. It introduces custom "inside" and "flipped" triggers for adaptable signal generation and includes signal filtering to reduce noise. The addition of RVI-based hints helps identify early overbought or oversold conditions, providing an extra layer of insight for decision-making. The dynamic integration of these components ensures a comprehensive yet straightforward analysis tool for various market conditions.
SUPER MACD📈 MACD Indicator Update - Version 2
🔹 New Features and Improvements:
1️⃣ New MACD Calculation Options:
Users can now choose from various Moving Averages to calculate the MACD. The default options are SMA (Simple Moving Average) and EMA (Exponential Moving Average), but there are 14 other versions available to experiment with:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
2️⃣ Improved Input Visibility and Organization:
We’ve reorganized the inputs so that the most commonly used ones are now placed at the beginning for quicker and more convenient configuration.
3️⃣ Bug Fixes and Code Improvements:
Minor bugs have been fixed, and the code has been optimized for better stability and performance. The code is now cleaner and fully functional in version 6.
4️⃣ Cometreon Public Library Integration:
To lighten the code and improve its modularity, we’ve integrated the Cometreon public library. This makes the code more efficient and reduces the need to duplicate common functions.
☄️ With this update, the MACD indicator becomes even more versatile and user-friendly, offering a wide range of calculation methods and an improved interface!
Fisher Transform of MACD w/ Quantile Bands [Loxx]Fisher Transform of MACD w/ Quantile Bands is a Fisher Transform indicator with Quantile Bands that takes as it's source a MACD. The MACD has two different source inputs for fast and slow moving averages.
What is Fisher Transform?
The Fisher Transform is a technical indicator created by John F. Ehlers that converts prices into a Gaussian normal distribution.
The indicator highlights when prices have moved to an extreme, based on recent prices. This may help in spotting turning points in the price of an asset. It also helps show the trend and isolate the price waves within a trend.
What is Quantile Bands?
In statistics and the theory of probability, quantiles are cutpoints dividing the range of a probability distribution into contiguous intervals with equal probabilities, or dividing the observations in a sample in the same way. There is one less quantile than the number of groups created. Thus quartiles are the three cut points that will divide a dataset into four equal-size groups (cf. depicted example). Common quantiles have special names: for instance quartile, decile (creating 10 groups: see below for more). The groups created are termed halves, thirds, quarters, etc., though sometimes the terms for the quantile are used for the groups created, rather than for the cut points.
q-Quantiles are values that partition a finite set of values into q subsets of (nearly) equal sizes. There are q − 1 of the q-quantiles, one for each integer k satisfying 0 < k < q. In some cases the value of a quantile may not be uniquely determined, as can be the case for the median (2-quantile) of a uniform probability distribution on a set of even size. Quantiles can also be applied to continuous distributions, providing a way to generalize rank statistics to continuous variables. When the cumulative distribution function of a random variable is known, the q-quantiles are the application of the quantile function (the inverse function of the cumulative distribution function) to the values {1/q, 2/q, …, (q − 1)/q}.
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 .
Included:
Zero-line and signal cross options for bar coloring, signals, and alerts
Alerts
Signals
Loxx's Expanded Source Types
35+ moving average types
Divergence Macd+RSI Fast[RSU] -- No RepaintThis indicator combines the divergence of rsi and macd and displays it on the candlestick chart.
RSI:
1. When rsi is at a high point, once it falls by 1 k line, it will detect the divergence from the previous high point. This can quickly find the divergence that has taken effect and help you quickly capture the trend before a sharp decline or rise.
The difference between other RSI divergence indicators: the official divergence indicator is to detect the 5 and the k line, which may lead to a large amount of decline.
2. This indicator detects the previous high and the previous low of 5, 10, 20 lengths at the same time, instead of only detecting a fixed length, so that more deviations can be found.
MACD:
1. When MACD-diff line(orange color) is at a high point, once it falls by 1 k line, it will detect the divergence from the previous high point. This can quickly find the divergence that has taken effect and help you quickly capture the trend before a sharp decline or rise.
2. This indicator detects the previous high and the previous low of 5, 10, 20, 40 , 60 lengths at the same time, instead of only detecting a fixed length, so that more divergences can be found.
Notice:
Because it is a quick divergence detection, it is recommended to confirm that the divergence takes effect after the current k is completely closed first. I have identified this state in the indicator as "k not end".
Disadvantages and Risks:
Since it is a quick discovery, there will be error identification. Error divergences will recolor to grey.
Suggestion:
Use Alert catching divergence occurrences.
Please do not:
Don't go short in the uptrend, don't go long in the downtrend.
Top divergences that occur because of a strong uptrend are usually only temporary pullbacks. Bottom divergences in persistent declines are also temporary rallies. Do not attempt to trade such low-return trades.
It is recommended to use the divergence indicator when the stock price has made a new high and retraced, and once again made a new high, because this often leads to the end of the trend.
Divergence how to use:
1. After the previous candlestick was completely closed, a bottom divergence was found.
2. Open an long order at the beginning of the second bar, or as close to the bottom as possible (because the stop loss will be smaller).
3. Break the stop loss price below the previous low where the divergence occurred, which already means that the divergence is wrong.
MACD-EDT "EMA DEMA TEMA" [DM]Greetings to all colleagues
Today I share a MACD with the EMA , DEMA , TEMA variants.
The aim is that they can see how the signals vary from a normal MACD to one with the averages created by Patrick Mulloy (1994)
Variables of this MACD:
EMA = Exponential Moving Average
DEMA = Double Exponential Moving Average
TOPIC = Triple Exponential Moving Average
He also has in the arsenal:
SMA Simple Moving Average
WMA Weighted Moving Average
Plus...:
Volume-weighted variant in all of them
Visual options:
Points at the crossroads
Shadows on the body of the signals
All colors are customizable
Histogram and shadow are gradients at 15 steps
It has switches for:
Shadow
Histogram
Macd and signal
Crosses
Some minor details remain to be incorporated in the next few days.
Pre-cross calculation.
Alerts
Bar color
Enjoy!!! ;-)
MACD+ Strategy [SystemAlpha]This is a strategy based on MACD Oscillator . Instead of using just the normal crossovers, we use trend filters, trailing stop loss and take profit targets. This strategy was developed for crypto, forex and stocks on daily timeframe but feel free to experiment on 15 minutes or higher using heikin ashi or normal candles
In this strategy you have a choice of:
Trend Filters:
- Average Directional Index ( ADX ) – buy when price is trend is up and sell when trend is down.
- Moving Average (MA) – buy when price close above the defined moving average and sell when price close below moving average
- Parabolic SAR – buy when SAR is above price is above price and sell when SAR is below price.
- All - Use ADX , MA and SAR as filters
For MA Filter , you can use the “TF MA Type” and "TF MA Period" parameter to select Simple or Exponential Moving Average and length.
Stop Loss:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Parabolic SAR ( SAR ) – Parabolic SAR adapted as trailing stop loss.
For ATR , you can use the “ATR Trailing Stop Multiplier” parameter to set an initial offset for trailing stop loss.
Take Profit Target:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Standard % – Percent as target profit
For ATR , you can use the “ATR Take Profit Multiplier” parameter to set an initial offset for trailing stop loss.
Additional feature include:
- Regular and Hidden Divergence display and alerts
STRATEGY ONLY:
- Set back test date range
- Set trade direction - Long, Short or Both
- Use timed exit - Select method and bars
- Method 1: Exit after specified number of bars.
- Method 2: Exit after specified number of bars, ONLY if position is currently profitable.
- Method 3: Exit after specified number of bars, ONLY if position is currently losing.
TradingView Links:
Alerts:
MACD:
How to use:
1. Apply the script by browsing through Indicators --> Invite-Only scripts and select the indicator
2. Once loaded, click the gear (settings) button to select/adjust the parameters based on your preference.
3. Wait for the next BUY or SELL signal to enter the trade!
Disclaimer:
The indicator and signals generated do not constitute investment advice; are provided solely for informational purposes and therefore is not an offer to buy or sell a security; are not warranted to be correct, complete or accurate; and are subject to change without notice.
Modified Stochastic MACD Oscillator - Vitali ApirineFor all MACD enthusiasts out there, hot off the press, I present this next generation "Modified Stochastic MACD Oscillator" employing PSv4.0, originally formulated by Vitali Apirine for TASC - November 2019 Traders Tips. Just when you may have thought it was the end of the evolutionary line for MACD technology, it's not! Basically it's a NEW hybridization of a MACD and stochastic rolled into one, maintaining scale symmetry to support overbought/oversold defined levels across time frames and assets, unlike the ordinary MACD. On the ordinary MACD, this is virtually impossible to do properly, and trust me, I have tried with zero success. My less than 40 line implementation, at initial release, is a heavily modified version of the original indicator using novel techniques, surpassing not only Apirine's original intended design, but also the "contemporary MACD" provided by TV, visible on the bottom of the chart.
Utilizing the "Power of Pine", I included the maximum amount of features I could surmise in an ultra small yet powerful package. I provided an abundance of control over each feature as an attempt to create another heavenly MACD experience in an open source package, only rivaled by my "Ultimate MACD Super Pack". Configurations are displayed above in multiple scenarios that should be suitable for most traders. Of notable mention, I rescaled the oscillator more towards a zero mean unity scale, while still leaving the waveforms completely intact.
Features List Includes:
Dark Background - Easily disabled in indicator Settings->Style for "Light" charts or with Pine commenting
AND much, much more... you have the source!
For those of you who are new to Pine Script, this script also may help you understand advanced programming techniques in Pine and how they may be utilized in a most effective manner. I would like to see Tradingview become the go to platform for the best MACD indicators attainable with this contribution to the TV community. This is commonly what my dense intricate code looks like behind the veil, and if you are wondering why there is no notes, that's because the notation is in the variable naming. If you wish to contribute additional ideas, please do so below in the comments about all things MACD in Pine.
NOTICE: Copy pasting bandits who may be having nefarious thoughts, DO NOT attempt this, because this may violate Tradingview's terms, conditions and/or house rules. "WE" are always watching the TV community vigilantly for mischievous behaviors and actions that exploit well intended authors for the purpose of unscrupulously increasing brownie points in reputation scores. Hiding behind a "protected" wall may not protect you from investigation and account penalization by TV staff. Be respectful, and don't just throw a meaningless feature in there branding it as "your" gizmo. Fair enough? Alrighty then... I firmly believe in "innovating" future state-of-the-art indicators, and please contact me if you wish to do so.
The comments section below is solely just for commenting and other remarks, ideas, compliments, etc... regarding only this indicator, not others. When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section if you do have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. As always, "Like" it if you simply just like it with a proper thumbs up, and also return to my scripts list occasionally for additional postings. Have a profitable future everyone!
MACD Price Divergence indicatorIndicator for divergence between MACD trend and price trends. Try it out and let me know what you think!
Grimes Modified MACD Supply DemandA follower of mine asked me if I could make a version of my www.tradingview.com script using the MACD. Well it just so happens I was making a few modifications to my MACD script: just as this question came up so I went ahead and threw this together.
The MACD that triggers the SR zones is pictured below, with key trigger points encircled to illustrate how it works.
MACD Divergence added in CM_MacD_Ult_MTFYou must have missed some trading opportunities of MACD Divergence due to oversight. So I create and share this script to help u seize the chances.
This indicator is based on CM_MacD_Ult_MTF created by ChrisMoody.
EMA50Diff & MACD StrategyOne of my attempts to create a strategy for BTC.
Its a combination of EMA50Diff (the difference between spot and EMA50) and MACD.
Buy signal if (EMA50Diff) < -(EMADiffThreshold),
(MACD bearish crossunder),
(MACD) < -(MACDThreshold),
(EMA50Diff) > (EMA50Diff 1 candle ago),
(EMA50Diff 1 candle ago) < (EMA50Diff 2 candles ago)
Sell signal if (EMA50Diff) > (EMADiffThreshold),
(MACD bullish crossover),
(MACD) > (MACDThreshold),
(EMA50Diff) < (EMA50Diff 1 candle ago),
(EMA50Diff 1 candle ago) > (EMA50Diff 2 candles ago)
Exit either when target or stoploss get reached.
Initial capital is set to 100k and its currently going all-in on every trade but im looking for a better way to handle position sizes already..
Also i included slippage of 30 ticks and exchange commission of 0.15% (e.g. 2x BitMEX market taker fee)
Works best on 15m on bitfinex, bitstamp and gdax and i'm still trying to optimize it for bitmex too, will update when i got there..
Gunbot MACDgenOk this is just some strat based on MACD, checking for a few conditions until giving buy/sell signals to Gunbot via alerts.
It is generalized but if you want to go play with the values. I will continue to develop this further and am happy to receive feedback.
Notations are coming.
Usage notes:
-ONLY use this with TV_GAIN: 0.6 because on downtrends it is supposed to double up to pull down the average bought price!
-Use "buying condition" and "selling condition" for alerts, trigger on close and I suggest you use 3 min intervals but try what looks good to you
-Use this on pairs that are curvy and have atleast 0.6% gain between buy/sell triggers. This is also general advise when you want to take microprofits.
-Don't be confused with sell arrows, it will only trigger the bot sell on gain when you've set TV_GAIN
MACD Leader [LazyBear]Smoothing methods have lag, and since MACD makes use of moving averages, it usually lags behind price. You cannot eliminate lag completely, but one way of working around this is by adding a component of the price/MA difference back to MA. This technique is called Zero-lag (well, almost). "MACD Leader" makes use of this to form a leading signal to MACD.
First proposed by Giorgos E. Siligardos, "Leader" leads normal MACD, especially when significant trend changes are about to take place. This has the following features:
- It is similar to MACD in smoothness.
- It can be plotted along with MACD in the same window using the same scaling.
- It has the ability to lead MACD at critical situations
For detailed discussion on the various divergence patterns, refer to the PDF I have linked in the "More Info" below.
I have provided an option to plot MACD and MACD signal on the same pane. You can enable/disable them via options page.
For Pinescript coders: Try enabling histo on this to compare with normal MACD histo :)
More info:
drive.google.com
List of my other indicators:
- Chart:
- GDoc: docs.google.com
L'MACD GUNHi all!
I would like to present you my universal MACD module.
In addition to the standard functions I have added several improvements:
Source Selection.
In addition to the standard calculation of the moving average "EMA", in the parameter "MA Type" I have added 52 more methods for calculating the MA! :
ADXMA, AHMA, ALF, ALMA, ARI, ARSI, BlackFilter, CTI, DoubleEma, DTA, DWMA, EEO, EHMA, ELA, EMARSI, EREA, HEMA, hma, HWMA, JAMA, KA, KAMA, LSMA, LWMA, McGinley_2, MNMA, PAW, REMA, rma, RMF, RMTA, RWMA, sma, SMMA, SuperSmooth, THMA, TilsonT3, TMA, TRAMA, TripleEma, TSF, VAMA, VAR, VHMA, VIDYA, VVMA, vwma, WCD, wma, WWMA, ZEMA, ZLMA !
Additional histogram and lines from the higher timeframe. With the parameter "Multiple of TF" you can specify on which timeframe the standard histogram should be zoomed.
The Zoom function allows increasing or decreasing the size of the histogram. (It does not affect the calculations in any way, it is only used for visualization purposes.)
How to use it?
I recommend using it as a standard MACD. You can test different types of moving averages thanks to my modules and choose the one you find most suitable.
Tips:
The script is slightly heavy and may take a little longer to load than usual.
All MA types are in alphabetical order and tied to numbers.
Next to the "MA Type" parameter there is a hint which method of calculating MA corresponds to the figure. The default is 15. In the hint 15 = EMA. This is the standard method of calculating the MAСD.
To select the MA more quickly. You can switch them with the mouse wheel or the arrows on the keyboard.
I use the standard parameters prescribed in the script.
The code is calibrated for any TF and displays as correctly as possible. Can be used on any type of chart.
Elastic Volume Weighted MACD ( EVWMACD )The Elastic Volume Weighted MACD is a variation of standard MACD.
The Difference is that this script apply the formula of standard MACD with the Elastic Volume Weighted Moving Average.
I took the formula of EVWMA from public library coded by LazyBear.
I use EVWMACD as a trend confirmation indicator.
Just tune all lengths and parameters according to your instruments
Multi color MACD with Triple EMA smoothing [cI:DH]At default settings, this indicator is identical to the built-in MACD.
Features:
- multi-color histogram
- background color change when MACD tops or bottoms
- additional smoothing using Triple EMA
Recommended settings:
- Triple EMA length 10 seem to be a good trade-off between smoothness and responsiveness
Stock Market Strategy : VWAP, MACD, EMA, Breakout, BBHello there,
Today I bring you a stock market strategy, specialized in NASDAQ stocks.
Its a daytrading strategy, that can only do a max of 1 trade per day. In this case it only trades the first 2 opening hours of the market.
The rules are simple :
We follow the trend based on a big EMA, in this case 200, after that, we check for VWAP direction , then, we check histogram from MACD. This is the simple logic of the strategy.
Inside there is another strategy, that not just do the above, but also uses Bollinger bands, and checks for breakout of bottom or top line. Also it uses Average directional Index, for even a bigger criteria .
So for example a long condition it would be : candle is above the ema, and candle is above vwap, and histogram is positive, and candle break the top bb level and ADI < 40 -> long signal . The opposite works for short(ADI > 20).
In this case all this criterias are between the first 2 hours of market. So we enter between the first hour, and exit in the next hour. For this we need to use very short time frames.
Hope you enjoy it.
Let me know if you have any questions
Mirror MACD by Trader JayThis is my take on the metatrader indicator, the mirror macd. Works pretty good on Forex, haven't tested on anything else
Enter long after the Blue Line Cross Up the Red Line and EXIT after the Green line Cross Up the Red Line (above the Blue Line).
For the opposite position : ENTER SELL after the Red Line Cross Down.