SALEH MACD Donchian + EMA & MACD + ADXI gathered all the signals coming from the MACD & Donchian channels indicators and filtered them with EMA 200 or ADX > 25 indicators (which both of them show the trend),
and put them on the chart to show me the buy and sell signals;
the signals rules are as following:
BUY:
when we have an uptrend ( the price is above the EMA 200 or ADX > 25 ) & the macd line cross up the signal line while they are both under the 0 level of histogram it generates buy signals.
SELL:
when we have a downtrend ( the price is below the EMA 200 or ADX > 25) & the macd line cross below the signal line while they are both above the 0 level of histogram it generates sell signals.
Donchian channel works as a confirmation for the macd signal.
this signals work best at London session, you can also filter them by chandelier exit indicator.
Cari dalam skrip untuk "macd"
Point and Figure (PnF) MACDThis is live and non-repainting Point and Figure Chart MACD tool. The script has it’s own P&F engine and not using integrated function of Trading View.
Point and Figure method is over 150 years old. It consist of columns that represent filtered price movements. Time is not a factor on P&F chart but as you can see with this script P&F chart created on time chart.
P&F chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify.
P&F MACD is calculated and shown by using its own P&F engine.
If you are new to Point & Figure Chart then you better get some information about it before using this tool. There are very good web sites and books. Please PM me if you need help about resources.
Options in the Script
Box size is one of the most important part of Point and Figure Charting. Chart price movement sensitivity is determined by the Point and Figure scale. Large box sizes see little movement across a specific price region, small box sizes see greater price movement on P&F chart. There are four different box scaling with this tool: Traditional, Percentage, Dynamic (ATR), or User-Defined
4 different methods for Box size can be used in this tool.
User Defined: The box size is set by user. A larger box size will result in more filtered price movements and fewer reversals. A smaller box size will result in less filtered price movements and more reversals.
ATR: Box size is dynamically calculated by using ATR, default period is 20.
Percentage: uses box sizes that are a fixed percentage of the stock's price. If percentage is 1 and stock’s price is $100 then box size will be $1
Traditional: uses a predefined table of price ranges to determine what the box size should be.
Price Range Box Size
Under 0.25 0.0625
0.25 to 1.00 0.125
1.00 to 5.00 0.25
5.00 to 20.00 0.50
20.00 to 100 1.0
100 to 200 2.0
200 to 500 4.0
500 to 1000 5.0
1000 to 25000 50.0
25000 and up 500.0
Default value is “ATR”, you may use one of these scaling method that suits your trading strategy.
If ATR or Percentage is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and box size (ATR/Percentage) is 0.00124 then box size becomes 0.001.
And also while using dynamic box size (ATR or Percentage), box size changes only when closing price changed.
Reversal : It is the number of boxes required to change from a column of Xs to a column of Os or from a column of Os to a column of Xs. Default value is 3 (most used). For example if you choose reversal = 2 then you get the chart similar to Renko chart.
Source: Closing price or High-Low prices can be chosen as data source for P&F charting.
P&F MACD Part
Fast Length: Fast Length for P&F MACD , default value is 12
Slow Length: Fast Length for P&F MACD , default value is 26
Signal Smoothing: Signal Length, default value is 9
Source: Moving averages on P&F charts are based on the average price of each column. Bar chart moving averages are based on each close price. Average price means “(ClosePrice + OpenPrice) / 2”. You can choose Close Price or Average Price as source. Default is Average Price.
There are 2 Alerts:
If PNF MACD line crossover the signal line
If PNF MACD line crossunder the signal line
While adding alert “Once Per Bar Close” option should be chosen.
Stochastic RSI and MACD leader [ChuckBanger]Here I have combined Stochastic RSI with my MACD leader.
MACD leader and Stochastic RSI works well together and they are powerful in combination with My Recursive Bands. It is up to you to back test this properly before you use it in real life trades. But in my opinion it is very powerful.
Because of MACD nature it's a little messy when you turn on the MACD's histogram so I commented that out.
MACD Leader:
My Recursive Bands:
TSI MACD by Jwammo12The TSI MACD indicator is a combination of the TSI (True Strength Index) and MACD (Moving Average Convergence Divergence) technical indicators.
The TSI MACD indicator is a momentum indicator, considering that it comes from two momentum indicators.
Ultimately, the TSI MACD indicator is used to gauge the strength of a trend, as well as its accompanying momentum.
The indicator is shown to oscillate between -110 and +110, while its signal baseline is on the zero level (a level that determines the market bias).
SMA/pivot/Bollinger/MACD/RSI en pantalla gráficoMulti-indicador con los indicadores que empleo más pero sin añadir ventanas abajo.
Contiene:
Cruce de 3 medias móviles
La idea es no tenerlas en pantalla, pero están dibujadas también. Yo las dejo ocultas salvo que las quiera mirar para algo.
Lo que presento en pantalla es la media lenta con verde si el cruce de las 3 marca alcista, amarillo si no está claro y rojo si marca bajista.
Pivot
Normalmente los tengo ocultos pero los muestro cuando me interesa. Están todos aunque aparezcan 2 seguidos.
Bandas de Bollinger
No dibujo la línea central porque empleo la media como tal.
Parabollic SAR
Lo empleo para dibujar las ondas de Elliott como postula Matías Menéndez Larre en el capítulo 11 de su libro "Las ondas de Elliott". Así que, aunque se puede mostrar, lo mantengo oculto y lo que muestro es dónde cambia (SAR cambio).
MACD
No está dibujado porque necesitaría sacarlo del gráfico.
Marco en la parte superior cuándo la señal sobrepasa al MACD hacia arriba o hacia abajo con un flecha indicando el sentido de esta señal.
RSI
Similar al MACD pero en la parte inferior.
Probablemente, programe otro indicador para visualizar en una ventanita MACD, RSI y volumen todo junto. El volumen en la principal hay veces que no te permite ver bien alguna sombra y los otros 2 te quitan mucho espacio para graficar si los tienes permanentemente en 2 ventanas separadas.
Multiple MACD RSI simple strategySimple strategy script I've had for a while but looks like I never published.
Although it is one of my most simple it seems to have the best profitability. It is pretty rough though. the Stoch RSI has only a little weight to the trade trigger. I'll refine it more over time or you can by all means. Basically the Stoch RSI current K line has to be OVER 40 to trigger a SELL. It has no effect on buy side.
The triggers are roughly as follows:
Year - since so many assets have gone 2x, 3x, 10x+ since 2013 having a strategy that earns a 500% return from 2013 to now isn't that good if buy-and-holding would have got you 800%. This eliminates some of that noise and makes it a little easier to quickly gauge success. So buy/sell trigger need a value of greater or equal to 2018 (default)
MACD 1 - First MACD (short) needs to indicate greater than 0 to buy or less than 0 to sell.
MACD 2 - Same as MACD1 but for second MACD set (long)
Uptrend - Latest close + high divided by last periods close + high needs to be grater than 1. So if latest is 34.30 close and 34.60 high and previous interval is 34.80 close and 34.82 high, that is 0.99 and will not trigger a buy trade.
Downtrend - Same thing but close + low and less than 1.
This script/strategy is pretty rough but if there is interest I'll polish it more since it is a pretty solid but simple strategy for most assets.
DiNapoli MACD & Stoch [LazyBear] --- Updated: May 19 2015 ----
Applicable only If you are setting up alerts:
I noticed I have switched the plot names. Histo shd be the MACD and DMACD shd be the Signal.
Replace lines 16 & 17 with these to get the correct names. NOTE that no functionality is affected, just the names.
plot(r, style=columns, color=r>0?green:red, transp=80, title="Dinapoli MACD")
plot(s, color=teal, linewidth=2, title="Trigger")
--- Original Description ---
These two indicators are from one of my favorite books - DiNapoli's Levels. These are custom MACD and Stoch used by him. There are more indicators - Detrended Osc, DisplacedMA - that he uses, will publish them all later.
The settings of normal MACD/Stoch can be tuned to obtain these DiNapoli indicators, or if you are lazy (like me!) just use these :)
DiNapoli Preferred Stoch source: pastebin.com
More info:
www.amazon.com
List of my public indicators: bit.ly
List of my app-store indicators: blog.tradingview.com
MACD Strategy_baskerMACD Strategy_basker, which will see the macd cross over and update buy sell. then do trailing sl
Ichimoku Cloud with MACD and Trailing Stop Loss (by Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
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.
This strategy combines the Ichimoku Cloud with the MACD indicator to better enter trades.
Long/Exit orders are placed when three basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
MACD line crosses over the signal line
Exit Position:
Price increases 3% trailing
Price decreases 3% trailing
The script is backtested from 1 June 2022 and provides good returns.
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.
Adaptive Two-Pole Super Smoother Entropy MACD [Loxx]Adaptive Two-Pole Super Smoother Entropy (Math) MACD is an Ehlers Two-Pole Super Smoother that is transformed into an MACD oscillator using entropy mathematics. Signals are generated using Discontinued Signal Lines.
What is Ehlers; Two-Pole Super Smoother?
From "Cycle Analytics for Traders Advanced Technical Trading Concepts" by John F. Ehlers
A SuperSmoother filter is used anytime a moving average of any type would otherwise be used, with the result that the SuperSmoother filter output would have substantially less lag for an equivalent amount of smoothing produced by the moving average. For example, a five-bar SMA has a cutoff period of approximately 10 bars and has two bars of lag. A SuperSmoother filter with a cutoff period of 10 bars has a lag a half bar larger than the two-pole modified Butterworth filter.Therefore, such a SuperSmoother filter has a maximum lag of approximately 1.5 bars and even less lag into the attenuation band of the filter. The differential in lag between moving average and SuperSmoother filter outputs becomes even larger when the cutoff periods are larger.
Market data contain noise, and removal of noise is the reason for using smoothing filters. In fact, market data contain several kinds of noise. I’ll group one kind of noise as systemic, caused by the random events of trades being exercised. A second kind of noise is aliasing noise, caused by the use of sampled data. Aliasing noise is the dominant term in the data for shorter cycle periods.
It is easy to think of market data as being a continuous waveform, but it is not. Using the closing price as representative for that bar constitutes one sample point. It doesn’t matter if you are using an average of the high and low instead of the close, you are still getting one sample per bar. Since sampled data is being used, there are some dSP aspects that must be considered. For example, the shortest analysis period that is possible (without aliasing)2 is a two-bar cycle.This is called the Nyquist frequency, 0.5 cycles per sample.A perfect two-bar sine wave cycle sampled at the peaks becomes a square wave due to sampling. However, sampling at the cycle peaks can- not be guaranteed, and the interference between the sampling frequency and the data frequency creates the aliasing noise.The noise is reduced as the data period is longer. For example, a four-bar cycle means there are four samples per cycle. Because there are more samples, the sampled data are a better replica of the sine wave component. The replica is better yet for an eight-bar data component.The improved fidelity of the sampled data means the aliasing noise is reduced at longer and longer cycle periods.The rate of reduction is 6 dB per octave. My experience is that the systemic noise rarely is more than 10 dB below the level of cyclic information, so that we create two conditions for effective smoothing of aliasing noise:
1. It is difficult to use cycle periods shorter that two octaves below the Nyquist frequency.That is, an eight-bar cycle component has a quantization noise level 12 dB below the noise level at the Nyquist frequency. longer cycle components therefore have a systemic noise level that exceeds the aliasing noise level.
2. A smoothing filter should have sufficient selectivity to reduce aliasing noise below the systemic noise level. Since aliasing noise increases at the rate of 6 dB per octave above a selected filter cutoff frequency and since the SuperSmoother attenuation rate is 12 dB per octave, the Super- Smoother filter is an effective tool to virtually eliminate aliasing noise in the output signal.
What are DSL Discontinued Signal Line?
A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made.
Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator.
"Signal" line is calculated the following way :
When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line
When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level
This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods.
In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level.
Included:
Bar coloring
Alerts
Signals
Loxx's Expanded Source Types
Gaussian Filter MACD [Loxx]Gaussian Filter MACD is a MACD that uses an 1-4 Pole Ehlers Gaussian Filter for its calculations. Compare this with Ehlers Fisher Transform.
What is Ehlers Gaussian filter?
This filter can be used for smoothing. It rejects high frequencies (fast movements) better than an EMA and has lower lag. published by John F. Ehlers in "Rocket Science For Traders". First implemented in Wealth-Lab by Dr René Koch.
A Gaussian filter is one whose transfer response is described by the familiar Gaussian bell-shaped curve. In the case of low-pass filters, only the upper half of the curve describes the filter. The use of gaussian filters is a move toward achieving the dual goal of reducing lag and reducing the lag of high-frequency components relative to the lag of lower-frequency components.
A gaussian filter with...
one pole is equivalent to an EMA filter.
two poles is equivalent to EMA ( EMA ())
three poles is equivalent to EMA ( EMA ( EMA ()))
and so on...
For an equivalent number of poles the lag of a Gaussian is about half the lag of a Butterworth filters: Lag = N * P / (2 * ¶2), where,
N is the number of poles, and
P is the critical period
Special initialization of filter stages ensures proper working in scans with as few bars as possible.
From Ehlers Book: "The first objective of using smoothers is to eliminate or reduce the undesired high-frequency components in the eprice data. Therefore these smoothers are called low-pass filters, and they all work by some form of averaging. Butterworth low-pass filtters can do this job, but nothing comes for free. A higher degree of filtering is necessarily accompanied by a larger amount of lag. We have come to see that is a fact of life."
References John F. Ehlers: "Rocket Science For Traders, Digital Signal Processing Applications", Chapter 15: "Infinite Impulse Response Filters"
Included
Loxx's Expanded Source Types
Signals, zero or signal crossing, signal crossing is very noisy
Alerts
Bar coloring
EMA 21 + MacD + RSI + Alma
Setting
EMA 21 = Green
EMA 9 = yellow
MacD = 5 35 5
RSI = 10
Alma 20 0.8 8
RULES
Long:
1. EMA 9 below 21
2. RSI above 50 from Oversold
3. Macd Solid green
4. SL @ ALMA
5. Conditional buy limit order @ top wick
6. 1:3 RR
Short:
1. EMA 9 above 21
2. RSI below 50 from Overbought
3. Macd Solid red
4. SL @ ALMA
5. Conditional sell limit order @ bottom wick
6. 1:3 RR
Stochastic MACDStochasticMACD (SMACD) is an oscillating momentum indicator. It is based on MACD but run through a stochastic oscillator.
This results in an indicator with all the same properties as MACD but with the benefit that the absolute levels can be compared to history values.
HULL MACDThis MACD modification uses a fast HULL MA instead of the regular one. Also includes 2 horizontal lines. When using it on a daily timeframe the lower borders should be used for guidance to know when the market has gone too far away from the average price and thus a reversal might happen.
On smaller timeframes the dotted lines can be used for this purpose.
jma + dwma macdThis MACD system was originally conceptualized by Jurik Research and made public to the world on their website .
The indicator consists of the faster Jurik Moving Average ( JMA ) and the slower Double Weighted Moving Average (DWMA). A long signal (green dot at the bottom) is shown when the JMA line crosses above the DWMA line (indicating a possible reversal in trend). A short signal (red dot at the top) is shown when the JMA line crosses below the DWMA line. Take profit signals (tan dot at the top/bottom) are shown when the JMA line reverses directions. Alerts for signals are included in this indicator.
The default settings are not optimized for any timeframe.
For an overlay version of this script, please see the following:
Credit to @everget for the re-creation of the Jurik Moving Average in pinescript.
Full Crypto Swing Strategy ALMA Cross with MACDThis is a full crypto swing strategy designed.
From my testing it looks like it perform the best on timeframes 4h +.
The below example has been adapted to BNB/USDT, using the entire period since 2017 until present day, with a comission of 0.03% ( which is the comission for the futures on binance).
Its components are :
ALMA Fast
ALMA Slow
MACD Histogram
Rules for entry
For long, we have a crossover of the fast alma with the slow one and the histogram is ascending.
For short, we have a crossunder of the fast alma with the slow one and the histogram is descending.
Rules for exit
We exit based on a risk management system for TP and SL, or when we receive an opposite condition than the initial one.
Regarding risk management
0.05 = 5% movement
2 = 200% movement
0.001 = 0.1% movement
If you have any questions, let me know !
Forex scalper 2xEMA + SRSI + MACDThis is a forex scalping strategy designed for the most liquid pairs, like major forex pairs.
Its made of
1 EMA 50
1 EMA 100
Stochastic RSI
MACD
Rules
For long :close of the candle is above moving average 50, moving average 50> moving average 100, macd histogram is positive and cross over of stochastic rsi with the oversold level.
For short :close of the candle is below moving average 50, moving average 50 < moving average 100, macd histogram is negative and cross under of stochastic rsi with the overbought level.
Exit
For exit we have take profit and stop loss using fixed pip points.
For this example on EURUSD we use 20 pips for both tp and sl
IF you have any questions let me know !
Simple Macd Momentum Reversal IndicatorThis Simple indicator uses the MACD history to check trend reversals. It primarily check if the histogram has moved up from a downtrend above a certain margin. If it has, it places a green B on the chart. If you were to use/improve this indicator, please use it with other indicators to confirm your position. This is NOT an indicator that can be well used alone.
rsi and macdRSI and MACD in the chart:
- small circles -> oversold/overbought
- big circles -> oversold/overbought rising/falling
- small diamonds -> macd over/under signal with macd over/under zero
Please comment if you have an idea to improve it ;)
GSO + RSI + MACD + MFI + Bollinger BandsThis script uses a Gann Swing Oscillator , RSI , MACD , MFI and Bollinger Bands to generate long and short signals for cryptocurrencies on the 5 minute chart.
The Gann Swing Oscillator was inspired by HPotter's GSO.
This script is for educational purposes only. This script is NOT to be used as financial advice. I will not accept liability for any losses which may occur as a result of using this script.
Redbear MACD + RSIHello . I make script that combine MACD and RSI
Green area is BUY SELL signal when rsi >45
you can custom parameter .
Log MACDThis is just a MACD indicator using the log of the closing price rather than the normal closing price. Useful for exponentially growing stocks and cryptocurrency.
ADX Momentum cross + MacD + HH LL + Buy/Sell Signals and alerts Hello, This is the first indicator I have made and would like to contribute to the community.
This strategy came from trying to replicate a previous ADX Cross Indicator that I loved on MT4 which I used successfully on EUR/USD on high and low time frames. Through the process of trying to replicate it I failed, I decided to take what I had written so far and create my own ADX cross strategy using the combination of 3 ADX's, their lag. Then also using Higher highs and lower lows with the MacD to further filter the signals.
There are two buy and two sell conditions , the difference between these are just the order in which the ADX crossing determines the entry. The MacD and higher highs and lower lows are the same for filtering the signal.
You can change the look back for HH and LL look back range, along with the DI Length & ADX Smoothing for all ADX's. The lag used for either the buy or sell strategy with the Lag_Buy/Lag_Sell inputs. Lag_mid setting will affect all 4 conditions.
From testing and based on the ADX cross logic you should follow this structure when changing the inputs for:
DI Length: Lowest DI value (I.E. 1)
DI Lengtha: Middle DI value (I.E. 2)
DI Lengthb: Highest DI value (I.E. 3)
ADX Smoothing: Lowest Smoothing value (I.E. 1)
ADX Smoothinga: Middle Smoothing value (I.E. 2)
ADX Smoothingb: Highest Smoothing value (I.E. 3)
I tested this on the EUR/USD, but mainly I have been using it on BTC/USDT(binance) and BTC/USDT Perpetual futures(binance) with the 5 minute chart. I suggest playing around with the settings depending on the Symbol and timeframe you use because the default settings are what I last found to be optimal for my self on the 5min BTC/USDT Perpetual futures(binance) chart.
A good starting point I found when using the indicator on other charts is to use the below values:
DI Length: 7
DI Lengtha: 14
DI Lengthb: 21
ADX Smoothing: 7
ADX Smoothinga: 14
ADX Smoothingb: 21
If you have any questions, suggestions, or requests for this indicator feel free contact me. You can either comment on here or Message me
If you like this indicator please like and comment where you found it useful.
