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
在腳本中搜尋"MACD"
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.
Stochastic with MACD filter + SL/TP + AlertsLong Arrow : close of the candle is above ema + Stochastic is oversold + MACD is below 0 + Stochastic cross up
Short Arrow : close of candle is below ema + Stochastic is overbought + MACD is above 0 + Stochastic cross down
Also added SL, 1:1 and TP where SL can be varied by ATR value and TP is set to 2:1 RR but it can be varied too.
It is not meant to take every single trade even though that might already be profitable.
For higher winrate look for the higher timeframe trend for example when trading the 15min look if the Daily 8ema is going up or down.
Also only take trades when there is either a hidden divergence on RSI or a smaller normal divergence.
The I take the normal divergenes alo when there is no higher high like an M or lower low for longs like a W these tend to work out pretty good too.
Alerts are in it too.
Have Fun :)
RSI of MACD Strategy [Long only]This strategy uses the RSI on MACD indicator.
BUY
====
When RSI indicator crossing over 30 or 35 line and price above slow ema
Note: when the position already taken, you may reenter on the purple candle
Partial Exit
==========
Partial profit taking option is available in settings. If this is selected , 1/3 position exited when RSI indicator crossing down 80 line
Close
=====
When RSI indicator crossing below 15
Stop Loss
=========
I havent used hard stop loss in this strategy. Reason is , when price going down , indicator may go up ... so just wanted to ride along with indicator ...
Stop loss mentioned in the settings is used in calculation of how many units can be be purchased based on risk level
Tested with SPY and QQQ ETFs on hourly chart
Warning
=========
For the eductional purposes only ...
This is not a financial advise. please do your own research before taking any trading decission
[RS]MACD Divergence V1This oscilator was created by Ricardo Santos using MACD's histogram as the series to find low and high fractals and from there find and plot divergences.
I just modified it a little bit to make it to look more like the MACD public library indicator and use the actual MACD series (instead of the histogram) to find the fractals and from there plot divergences.
I did this to make it easier for me and other fellow students of a Forex school where we use these type of divergences to find patterns.
MACD,RSI & EMA strategy with MA+PSAR by MAMMACD,RSI & EMA strategy with MA+PSAR
Buy strategy
- MACD above signal
- RSI above RSI signal
- Close price above EMA
Sell Strategy
- MACD below signal
- RSI below RSI signal
- Close price below EMA