Slope NormalizerBrief:
This oscillator style indicator takes another indicator as its source and measures the change over time (the slope). It then isolates the positive slope values from the negative slope values to determine a 'normal' slope value for each.
** A 'normal' value of 1.0 is determined by the average slope plus the standard deviation of that slope.
The Scale
This indicator is not perfectly linear. The values are interpolated differently from 0.0 - 1.0 than values greater than 1.0.
From values 0.0 to 1.0 (positive or negative): it means that the value of the slope is less than 'normal' **.
Any value above 1.0 means the current slope is greater than 'normal' **.
A value of 2.0 means the value is the average plus 2x the standard deviation.
A value of 3.0 means the value is the average plus 3x the standard deviation.
A value greater than 4.0 means the value is greater than the average plus 4x the standard deviation.
Because the slope value is normalized, the meaning of these values can remain generally the same for different symbols.
Potential Usage Examples/b]
Using this in conjunction with an SMA or WMA may indicate a change in trend, or a change in trend-strength.
Any values greater than 4 indicate a very strong (and unusual) trend that may not likely be sustainable.
Any values cycling between +1.0 and -1.0 may mean indecision.
A value that is decreasing below 0.5 may predict a change in trend (slope may soon invert).
M-oscillator
Band Pass Normalized Suite (BPNS)Outlier-Free Normalization and Band Pass Filtering
We present a technique for normalizing and filtering a given time series, source, in order to improve its stationarity and enhance its features. The technique includes two stages: outlier-free normalization and band pass filtering.
Outlier-Free Normalization:
In order to normalize source and reduce the impact of outliers, we first smooth the time series using an exponential moving average with a smoothing factor of alpha. The smoothed time series is then normalized by subtracting the minimum value within a given lookback period, dev_lookback, and dividing the result by the range (maximum - minimum) within the same lookback period. Outliers are detected and excluded from the normalization process by identifying values that are more than outlier_level standard deviations away from the exponentially smoothed average.
Band Pass Filtering:
After normalization, the time series is passed through a band pass filter to remove low and high frequency components. The specifics of the band pass filter implementation are not provided.
Code snippet:
bes(float source = close, float alpha = 0.7) =>
var float smoothed = na
smoothed := na(smoothed) ? source : alpha * source + (1 - alpha) * nz(smoothed )
max(source, outlier_level, dev_lookback)=>
var float max = na
src = array.new()
stdev = math.abs((source - bes(source, 0.1))/ta.stdev(source, dev_lookback))
array.push(src, stdev < outlier_level ? source : -1.7976931348623157e+308)
max := math.max(nz(max ), array.get(src, 0))
min(source, outlier_level, dev_lookback) =>
var float min = na
src = array.new()
stdev = math.abs((source - bes(source, 0.1))/ta.stdev(source, dev_lookback))
array.push(src, stdev < outlier_level ? source : 1.7976931348623157e+308)
min := math.min(nz(min ), array.get(src, 0))
min_max(src, outlier_level, dev_lookback) =>
(src - min(src, outlier_level, dev_lookback))/(max(src, outlier_level, dev_lookback) - min(src, outlier_level, dev_lookback)) * 100
To apply the outlier-free normalization and band pass filter to a given time series, source, the min_max() function can be called with the desired values for outlier_level and dev_lookback as arguments. For example:
normalized_source = min_max(source, 2, 50)
This will apply the outlier-free normalization and band pass filter to source, using an outlier_level of 2 standard deviations and a lookback period of 50 data points for both the normalization and outlier detection steps. The resulting normalized and filtered time series will be stored in normalized_source.
It is important to note that the choice of values for outlier_level and dev_lookback will have a significant impact on the resulting normalized and filtered time series. These values should be chosen carefully based on the characteristics of the input time series and the desired properties of the normalized and filtered output.
In conclusion, the outlier-free normalization and band pass filtering technique presented here provides a useful tool for preprocessing time series data and improving its stationarity and feature content. The flexibility of the method, through the choice of outlier_level and dev_lookback values, allows it to be tailored to the specific characteristics of the input time series.
Slope Normalized (SN)Introduction:
The Normalized Slope script is a technical indicator that aims to measure the strength and direction of a trend in a financial market. It does this by calculating the slope of the source data series, which can be any type of data (such as price, volume, or an oscillator) over a specified length of time. The slope is then normalized, meaning it is transformed to a scale between -1 and 1, with 0 representing a flat trend.
Methodology:
The Normalized Slope script uses an exponential smoothing function to smooth the source data series. The smoothing factor, or alpha, can be adjusted by the user through the input parameter "Pre Smoothing".
Next, the script calculates the slope of the smoothed data series by finding the average difference between the current value and the values of the previous "Length" periods. This slope is then normalized using a function that scales the data to a range of -1 to 1, with 0 representing a flat trend. The normalization function takes the minimum and maximum values of the slope, calculates the difference between them, and then scales the data to the range of -1 to 1.
The normalized slope is then smoothed again using another exponential smoothing function with a user-adjustable smoothing factor (the "Post Smoothing" input parameter). A center line representing a flat trend can also be plotted on the chart by enabling the "Center Line" input parameter. Additionally, the user can choose to display bounds at the -1 and 1 levels by enabling the "Bounds" input parameter.
Conclusion:
The Normalized Slope script provides traders with a visual representation of the strength and direction of a trend in a financial market. It can be used as a standalone indicator or in combination with other technical analysis tools to help traders make informed trading decisions.
Line OscillatorThe input parameters include src, the source data for the indicator, presmooth, an integer value that determines the number of periods to use for pre-smoothing the source data, length, an integer value that determines the number of periods to use for calculating the relative strength index (RSI), smoothtype, a string value that determines whether to use the Hull moving average (HMA) or the Jurik moving average (JMA) for smoothing the RSI, smooth, an integer value that determines the number of periods to use for smoothing the RSI, and power, a float value that determines the power to use for the JMA calculation.
The script then performs some calculations, including pre-smoothing the source data using an exponential moving average (EMA), calculating the RSI from the pre-smoothed data, and smoothing the RSI using either the HMA or the JMA, depending on the value of smoothtype. The script also includes a function called calc_jma that calculates the JMA from a given source data and parameters.
Finally, the script plots the smoothed RSI on the chart and includes horizontal lines at various levels as well as an optional volume bar.
Regime Filter [CHE]About:
A market regime filter is a tool used by traders and investors to identify the current state or "regime" of the market and adjust their investment strategies accordingly. This can involve identifying trends in market behavior, such as bullish or bearish trends, and using that information to make decisions about which assets to buy or sell.
Market regime filters can be based on a variety of factors, including economic indicators, market sentiment, and technical analysis. They are often used in conjunction with other trading strategies and can help traders and investors manage risk and optimize their returns.
It's important to note that market regime filters are not always accurate and can change over time, so it's important for traders and investors to regularly review and update their filters to ensure that they are relevant and effective.
Understanding the use of a regime filter in trading:
The importance of a trading filter cannot be overemphasized. As a matter of fact, the chances of any trading system making consistent returns over the long term depends on it trading in the right market environment — buying when the market is bullish and selling when the market is bearish. Some traders may want to stay out of the market when the conditions are unfavorable.
The heard of this Regime Filter is the well kown Andean Oscillator. The proposed indicator aims to measure the degree of variations of individual up-trends and down-trends in the price, thus allowing to highlight the direction and amplitude of a current trend.
Settings
Length : Determines the significance of the trends degree of variations measured by the indicator.
Signal Length : Moving average period of the signal line.
The regime filter uses the color yellow and blue, yellow stands for bullish and blue for bearish.
In daily use I have found that it makes sense to use it in different timeframes to identify meaningful trends.
best regards and I hope you enjoy this new indicator
Chervolino
McGinley Dynamic Apply Oscillator What McGinley Dynamic Apply Oscillator?
By understanding how McGinley Dynamic work, and calculate its change% then comparing those value to lasted change%, McGinley Dynamic Apply Oscillator was created
McGinley Dynamic Apply Oscillator, use 2 McGinley Dynamic apply with multiple MA Choice including : ALMA EMA HMA SMA SMMA(RMA) SWMA VWMA LSMA and ZLASMA and plot those data out in to 2-line, Short Length and Long Length
The signal can be created by Short Length line crossing Long Length Line. In the background, there are 4 color bar chart which define 4 meaning :
Blue : The difference between Short and Long Length line are increasing and be in + value
Light Blue : The difference between Short and Long Length line are decreasing and be in + value
Yellow/Orange : The difference between Short and Long Length line are increasing and be in - value
Red : The difference between Short and Long Length line are decreasing and be in – value
What made McGinley Dynamic Apply Oscillator?
McGinley Dynamic
MA Concept
Supertrend Direction Concept
Used of McGinley Dynamic Apply Oscillator
can be use as the confirmation indicator if trader apply the indicator to any trading strategy which already have trend identifier Indicator
can also be use as trend changer/switcher indicator
Impulse Alerts - Riccardo Di GiacomoThis is the Impulse indicator that allows you to receive alerts in the case one of the following situation occurs:
1) Buy Setup
- Price above Exponential Moving Average 260
- Moving Average 21 above Exponential Moving Average 260
- Moving Average 9 above Moving Average 21
- RSI(14) above 50
- Stochastic equal or below 20
2) Sell Setup
- Price below Exponential Moving Average 260
- Moving Average 21 below Exponential Moving Average 260
- Moving Average 9 below Moving Average 21
- RSI(14) below 50
- Stochastic equal or above 80
The Bollinger Bands represents another useful information:
- If the price is near the upper band when the first situation occurs, it is another green light, otherwise be careful
- If the price is near the lower band when the second situation occurs, it is another green light, otherwise be careful
Gedhusek MomentumSqueezeThis oscillator measures a strength of momentum.
About the indicator:
Unlike the classic momentum indicator, which only measures the distance between two points, this one has a more sophisticated calculation system to better show the reality of the markets. This is reached by including the distance between the highest and lowest point over certain period and an absolute distance of each bar over certain time period. By combining the distance between the highest and lowest price point with an absolute distance into mathematical formula, we get a final value representing the momentum strength.
The next great thing about this oscillator is that its values are relative to the previous ones. Thanks to this, we get a better understanding about the current situation given what has happened in the market before.
General rules:
Value of this indicator ranges from 0 to 100.
If the value is below 50, it means that there is very weak momentum and if the value is above 50, there is strong momentum.
The idea is that these values should oscillate, therefore we can more precisely predict when the momentum is going to increase or decline.
If the current value is below 20, the market has very low momentum and it should increase and if the current value is above 80, there is an extremely high momentum and it should decline.
What is absolute distance and why use it:
Lets say that we have 2 last bars. The first one starts at 100 and closes at 110 and the second one starts at 110 and closes at 105. So the price change would be of 5 points (from 100 to 105). This is not an ideal way because we punish volatile markets with no clear trend.
With an absolute distance, we would deal with given scenario like this. The first bar went from 100 to 110, resulting in distance of 10 points, and the second bar went from 110 to 105, resulting in distance of 5 points. No we add up these distances and we get the absolute distance --> 10+5 = 15
With this type of calculation we get more accurate information about momentum
Inputs:
- Analysis Period - Sets how many bars are going to be used for calculations
Oscillator ExtremesThe Oscillator Extremes indicator plots the normalized positioning of the selected oscillator versus the Bollinger Bands' upper and lower boundaries. Currently, this indicator has four different oscillators to choose from; RSI, CMO, CCI, and ROC.
When the oscillator pushes towards one extreme, it will bring the value of the prevailing line closer to zero. If the bullish or bearish line crosses the zero line, the oscillator is past the extreme of the Bollinger Band.
Example: If the RSI crosses over the upper boundary of the Bollinger, the bullish(green) line will cross under the zero line.
Crossovers of the bullish and bearish lines can indicate a shift in momentum and are a signal. Where the line crossing under, towards zero, is the prevailing trend. The plotted lines will highlight green(bullish) or red(bearish) to show the prevailing trend. This is similar to a DI+- crossover that is commonly associated with the ADX.
We have included an optional normalized ADX to help validate signals. The ADX will change color based on the slope of the ADX. Purple indicates a positive slope and white for a negative slope.
Vector MagnitudeThe pine indicator is a script for technical analysis of stock market data. It calculates the direction and magnitude of a moving average, and plots the result on a chart. The length of the moving average is specified by the user as an input parameter. The script uses the simple moving average (SMA) function from the TA-Lib library to calculate the average of the data. It then determines the direction of the vector by comparing the current value to the average. If the current value is greater than the average, the direction is set to 1. If it is less than the average, the direction is set to -1. Otherwise, the direction is set to 0. The magnitude of the vector is calculated using the Pythagorean theorem. The output is the magnitude of the vector, with the sign indicating the direction.
A trader may use this pine script to help identify trends in the stock market. By plotting the direction and magnitude of the moving average on a chart, the trader can quickly see whether the market is trending up or down, and how strong the trend is. This can help the trader make informed decisions about when to buy and sell stocks. Additionally, the script allows the user to customize the length of the moving average, which can be useful for analyzing different time frames and making more accurate predictions.
Exponential Smoothed RSII wanted to create a custom RSI to get clearer signals, so I coded this. It is an RSI average (to prevent the classic RSI in and out oversold/overbought zones) that is approaching the 0 and 100 levels with an exponential math formula.
If the "RSI smoothing factor" input increases, the rsi gets easily closer to the 0 and 100 limits.
This RSI will never be lower than 0 or higher than 100, its smoothing is asymptotic to the limits levels
I also added the possibility to change timeframe if you need
Note: the image is a simple confrontation between built-in RSI and exponentially smoothed RSI
LowHighFinderThis chart display how value change of (low,high,close,open) is considered as a factor for buying or selling. Each element take same weight when consider the final price. The price change over a certain threshold would be the decision point (buy/sell)
Factors considered in this chart
1.Quotes: High,low,close,open,volume. If one of them higher than previous day, then it increase, otherwise decreases.
2. Multipler: If you think one quote is more important than other (High more important than close, you can set multipler higher)
3. EMA smoother: It is using to balance the price effect. Like if price increased dramatically, EMA would notify whether could be a good time to sell. (Because high deviation between MA and price suggest price increase too fast)
4. Length of line: set length of line for you need
5. Percentage change: how much percentage change is considered a significant change? 5%? or 10%? In which case should it count toward the final indicator? Adjust percentage change needed, smaller for minutes chart (less than 10) higher for hours chart (10-20), even higher for day chart
Buy/Sell method:
1. When green dot appears, wait after price start to get close to moving average to find the low point and buy.
2. Reverse for red dot.
Fetch TrendsThis indicator can be used as a tool to measure the strength of the current trend. It is also trying to achieve to alert traders on when a trend can shift.
In order to achieve this, it uses three simple indicators:
1: 9 Simple moving average
2: 50 Simple moving average
3: Rsi (14)
The moving averages are used to define the current trend of the market, and the rsi is used to measure the strength. We use a color gradient to reach our second goal with this indicator.
The gradient is calculated based on the rsi value, which means the trader can use this indicator to visualize the strength of the current trend. It also helps to alert the trader when the trend starts to shift.
Lets say we use green to signal a strong positive trend, and blue for a weak positive trend. The candles are green in a strong uptrend, and are getting more blue once the trend starts to weaken.
As soon as the trend shifts from bullish to bearish, the bars become a diferent color.
True Momentum OscillatorThe True Momentum Oscillator (TMO) calculates the delta of the price using the open and close. We have taken the true momentum oscillator a step further and have added the momentum of the main signal (TMO) and the smooth signal line. We believe this helps give a clearer picture of price momentum and helps verify crossovers of the TMO and the smooth signal line. The momentum lines can also help confirm a divergence of the TMO. We have also added multiple moving average options so the user can customize the TMO to suit their needs.
TMO- Green when above Smooth Signal Line, red when below Smooth Signal Line
Smooth Signal- Gray Line
Histogram- TMO-Smooth Signal
TMO Momentum- Orange line
Smooth Signal Momentum- Yellow line
Overbought/Oversold regions- Gray highlighted boundaries
The TMO has defined overbought and oversold regions where either a crossover signal or divergence in the oscillator itself can be taken as a signal. Similar to the MACD, a crossover of the zero line by the TMO can also be utilized as a signal.
Heatmap Multi ToolThis indicator is a 32 point heat map with currently 17 indicators built in. You can adjust the normalization period of the heatmap, delta lookback, and you can invert the price scale. I have also included smoothing so that the heatmap is easier to read. Please let me know if I missed any indicator that would benefit from a heatmap view. Thank you very much for your support!
This indicator includes:
MACD
MACD Percent Rank
Slow MACD
MA Delta
Bollinger Band Width
Bollinger Band Width %
Z Score
Stochastic
RSI
RSI Delta
Normalized Price
Normalized Volume
Volume Delta
OBV
Normal Price * Volume
Momentum
ATR
ROC
Trend Angle
Open Close Trend
MFI
ROI
Inverted MACD
Custom OBV OscillatorThis is a modified OBV indicator that creates an oscillator by smoothing the difference between the value of the OBV and a short moving average of the OBV. SMAs of the oscillator are also provided to study crosses and convergence/divergence.
The indicator should mostly be used on common stock, but works on futures contracts with some tuning and a shorter timeframe.
Bull market support comparisonPlots the % difference between price and bull market support band. Since BMSB is two lines, they're simple averaged together. Top 40 tokens according to Coingecko ( minus stable coins) are chosen for the default display. On display all average certain crypto are taken out for limited price history. Calculation of BMSB applied in this indicator follows:
f(x) =>
sec = request.security(x, 'W', close)
math.avg(((sec-ta.sma(sec,20))/ta.sma(sec,20))*100,((sec-ta.ema(sec,21))/ta.ema(sec,21))*100)
Screener RSI,MACD,MACROSS,Stochastic,200MA, BY MK TRADERThis script lets you pick 20 symbols to check for ma crosses. The way it works is it scans all 20 of your symbols for moving average crosses and then it sends an both a regular alert and a visual alert inside of the indicator. I found that ma cross strategies are very popular right now so I thought it would be nice to have one indicator instead of 20 discord servers. The features include: 20 custom symbols, alerts, custom colors, ma select, and custom time frames. If you want to use the custom time frame option, use the lowest time frame possible. That way you wont have gaps.
I_MACD#I_MACD #Version_1_0_3
Hello Traders from all over the world! Today I would like to share a cool customizing tool our team recently has made. If you have ever used MACD or any other seemingly indicators that visualize the degree of converging/diverging of any two values, you are very lucky today. This one should be one of the most optimal tools for you guys that enables you to customize your own CD indicator perfectly fitted for your trading styles. Moreover, you can even set up optimized parameters for each different trading commodities or products.
There is no doubt that MACD (Moving Average Convergence Divergence) is one of the most popular indicators currently in trading world along with RSI and Stochastic. Google and old textbooks say that MACD is a technical indicator that helps you identify market trends and potential trend reversal point. Well, which existing indicators doesn’t? The problem is, how well the indicator reflects the market trends with least amount of lagging. We want to use an indicator that can provide best-fitted trend data as early as possible.
Anyway, this indicator is made of 3 different components: MACD line, a signal line, and an oscillator, which is usually plotted with histogram. MACD line is basically the level of difference between two EMAs, 12 and 26 (default settings). In other words, MACD Line visualizes the amount of gap between 12 and 26 EMA.
- When bullish, 12 EMA would be above 26 EMA and as the trend becomes more bullish, they will diverge more and MACD line would be positive (above the base line).
- When bearish, 12 EMA would be below 26 EMA and as the trend becomes more bearish, they will diverge more and MACD line would be negative (below the base line).
MACD Line = (Faster, sensitive) EMA – (Slower, dull) EMA = 12 EMA – 26 EMA
Then you add another EMA on the MACD line itself which then becomes a signal line. The default length of the signal line is 9. In other words, Signal line is a 9 EMA of the difference level between 26 and 12 EMA. Now the difference between Signal line and MACD line are called oscillator usually plotted with histograms.
- When MACD line is above the Signal Line, histogram would face upward (Positive Side)
- When MACD line is below the Signal Line, histogram would face downward (Negative Side)
Signal Line = 9 EMA of MACD Line
Two meaningful signals should be monitored to effectively spot the trend reversal point.
1. Pay attention to the crossover made by the two lines. Higher the golden-cross and the lower the death-cross is located, more weights added on the possibility of trend reverse. I personally ignore most of the crossovers signaled near the base line.
2. Search for the histogram peak outs. When two lines start to converge (heading towards each other), histogram will leave a significant peak and approach towards baseline meaning that the oscillator started to lose its strength.
Remember, both the signals (lines’ crossovers and histogram peak outs) are more reliable and meaningful as they are located farther away from the baseline.
As mentioned, the default parameters for MACD are 12, 26, and 9. The first two numbers are the lengths of prices’ moving averages that are used to compute MACD line. 9 is length of signal line. Furthermore, the types of moving averages and signal line used in this setting provided by Tradingview are EMAs (Exponential moving averages). Therefore, the proper way to express the default setting of MACD would be 12, 26, 9, EMA, EMA.
I have a question for you MACD users. How is MACD doing lately? Are you fully satisfied with the performance? Some might say yes, but most wouldn’t. Well, I personally believe that the default parameters are bit outdated. It surely was a powerful weapon 50 years ago when MACD was just created by Gerald Appel and only few knew how to use it. Things are different now. We have witnessed so many cases where everyone starts to all use the same types and parameters of indicators, techniques, and theories which eventually drops accuracy and preciseness. Come on, we are not living in fairy tales, instead in an extremely competitive world called capitalism where only a few survives.
As we are already aware, this market keeps changing over time. Encountering various patterns, price actions, wave structures, and trend flows that are unfamiliar and untraditional, traders easily get frustrated. Market is not like it used to be in the old days where trading was much easier. What worked yesterday doesn’t anymore work today and not even tomorrow. Such evidences we see every day are broadening channel, stoploss hunting, Bart Simpson, whipsaw, and bull/bear trap were once considered as rare phenomenon.
I_MACD might be useful tool for you to back/forward test to find the optimized types and parameters of the CD indicator just fitted for your unique trading styles and preferences. There are infinite number of combinations of types and parameters within this indicator you can try. For example, not only the lengths of the moving averages, but different types of technical indicators to compute the CD lines can also be tested. Try all the possible combinations of parameters and if you find a good one, please share it with us on the comment section below! I will also let you guys know if I do. In fact, the default settings, ohlc4, 60, 140, 30 EMA, EMA, are one of many that I have found useful.
Furthermore, for your convenience when testing, we added a few side features as listed below. You can turn these on and off according to your preferences and circumstances.
1. Crossovers of MACD and Signal line: Death-crosses above the baseline and golden-crosses below the baseline will be spotted with a vertical line.
2. Divergence Sensitivity: This feature finds out both the regular and hidden divergences of MACD line. Higher sensitivity searches for the divergences within the waves of the larger degree and vice versa for the lower sensitivity.
3. Histogram Peak out: Triangle signals will appear when oscillator peak outs are possibility assumed in advance. Similarly, as the first feature positive peak outs are searched only when MACD line is positive and vice versa for the negative peak outs.
We all know there is no ‘Perfect’ method in this industry other than becoming Elon Musk, but there surely are ‘Better’ methods. Contemporary traders should track and reflect trends of the latest market on developing their methods. In order to process that task, testing and experimenting new and different techniques through insightful ways is required. I_MACD might be the ‘Perfect’ tool for you to be a ‘Better’ trader. Thanks for reading.
#아이맥디 #I_MACD #Version_1_0_3
안녕하세요. 트레이더 여러분. 토미입니다.
오늘은 MACD와 같은 CD(Convergence Divergence)류의 보조지표를 써 보신 분들이 정말 좋아하실 만한 지표 툴 하나를 소개 드리겠습니다. 이름하여 I_MACD! 아무나 자유롭게 사용하실 수 있습니다. 여러분의 트레이딩 성향, 종목 특성, 타임 프레임, 현대 시장 상황, 그리고 요즘 여러분이 생각하는 차트 흐름에 딱 맞는 지표를 만들고 사용해보세요.
MACD는 딱 두가지 신호만 주목하시면 됩니다. 첫번째 신호는 MACD선과 Signal선, 이 두 곡선이 서로 크로스 할 때, 즉 오실레이터가 양에서 음으로 혹은 음에서 양으로 변환되는 시점입니다. 두번째 신호는 오실레이터가 고/저점(Peak out)을 찍고 변곡이 시작되는 시점입니다. 이 외에 제가 전 다이버전스 강의에서 언급 드렸듯 두 곡선과 히스토그램의 다이버전스 역시 참고해볼 수 있습니다.
흔히 쓰이는 MACD의 기본(디폴트) 설정 값은 12, 26, 9이며 현재 트레이딩뷰에서 제공하는 MACD의 두 이평선, 즉 MACD선을 도출할 때 사용되는 주가의 12와 26 이평선의 종류는 EMA(Exponential Moving Average)입니다. 또한 저 설정 값에서 9는 Signal선의 길이를 의미하며 본 이평선 종류 역시 EMA입니다.
MACD는 제럴드 아펠이라는 아저씨가 1970년대에 개발한 지표입니다. 하지만 여러분들도 알다시피 현대 금융 시장은 50년 전과 많이 다릅니다. 세상은 점점 더 빠르고 예측불가하게 변하고 있으며 금융 시장도 예외는 아닙니다. 기술적분석 관점으로도 이전에는 흔히 나오지 않았던 패턴, 경향성, 규칙, 그리고 흐름들이 지금은 비일비재하게 나오고 있습니다. 이쪽 시장은 정해진 답안지가 없으며 시시각각 변하는 시장에 맞게 우리가 참고하는 기법과 전략들을 항상 업데이트해줄 필요가 있습니다.
MACD 역시 모든 사람들이 사용하는 12, 26, 9, EMA, EMA 보다 더 나은 설정 값이 분명 존재할 겁니다. 그래서 저희 팀은 여러분들이 CD지표의 파라미터 값과 곡선 산출법을 변경하여 더 요즘 시장에 그리고 여러분 트레이딩 성향에 최적화된 지표로 만들어 사용할 수 있는 툴을 만들어봤습니다. 두 곡선과 Signal 선의 길이는 물론이고 타 이평선들을 포함 RSI, OBV, CCI, MFI 등과 같은 다른 종류의 지표로도 CD선을 구할 수 있게끔 해 놨습니다.
예를 들어 조금 더 장기적인 추세를 반영하는 MACD를 만들고 싶다면 12, 26이 아니라 50, 100의 길이를 사용해볼 수도 있고 이평선의 민감도를 조절하고 싶다면 EMA가 아닌 HMA나 RMA 같은 종류로 설정해볼 수도 있습니다. 또한 이평선이 아니라 아예 다른 지표들을 가지고 MACD화(정확히 말하면 CD화죠) 시켜볼 수도 있습니다. 저도 이것저것 시도 중인데 꽤 흥미로운 셋팅 값들이 보이네요. 참고로 디폴트로 설정해 놓은 시고저종/4, 60, 140, 30, EMA, EMA 조합도 제가 현재 테스트하고 있는 나쁘지 않은 값입니다. 여러분들도 괜찮은 설정 값들을 찾으면 혼자만 쓰지 마시고 댓글에 공유 좀 부탁드립니다~
또한 주요 시그널들을 쉽게 잡아낼 수 있게 아래와 같이 몇 가지 자동 기능들을 추가했습니다. 여러분들의 편의와 상황에 따라 사용하셔도 되고 거슬리면 끄셔도 됩니다.
1. MACD선과 Signal선의 크로스: 기준선 위에선 데드크로스, 아래에선 골든크로스를 표시해줍니다.
2. 다이버전스 민감도: MACD선의 다이버전스 출현 여부를 알려줍니다. 다이버전스 민감도를 내릴수록 더 작은 (단기) 단위 파동들의, 올릴수록 더 큰 (장기) 단위의 파동들의 다이버전스를 잡습니다.
3. 히스토그램 피크 아웃: MACD선이 기준선 위에 있을 때는 양, 아래에 있을 때는 음 히스토그램의 변곡점으로 의심되는 곳을 표기해줍니다.
제가 매번 강조 드리지만 지표는 보조로만 참고하는 도구이며 절대적으로 다 맞는 지표, 이론, 그리고 방법론은 세상에 존재하지 않습니다. 시장 상황에 따라 적절히 활용하고 본인이 사용하는 기술적분석 기법들 조합의 일부로 참고만 하시는 게 좋습니다.
Divergence Strength OscillatorDetects divergence before it has formed a valid divergent pivot, across multiple indicators. After publishing my Strength of Divergence Across Multiple Indicators script, it seemed there were a lot of people who wanted to see the divergence signals before the divergent pivots were actually confirmed. Everyone complains about indicators repainting, yet in the next breath they complain about not wanting to wait for a signal to be confirmed before it appears on their chart! No matter how many times you ask, you can't have your cake and eat it too.
While this isn't exactly cake, it's as close as you're gonna get. This oscillator will calculate the strength of divergence as it forms on any bar that could potentially be a pivot point (e.g. for a pivot low, the preceding bars must be higher than it) and track the net (bullish - bearish) value.
For example:
PLEASE NOTE that this is not intended to be a "Buy" or "Sell" signal, and it would be foolish to use it as such. The purpose of this script is to show you potential divergences as early as possible, so that you have more time to plan and evaluate confluent signals, etc.
The Divergence Strength Calculation:
The total divergence strength value is the sum of the divergence strengths of all indicators for which divergence was detected at a given bar. Each indicator's individual divergence strength is comprised of two basic components: (1) |ΔPrice| - the magnitude of the change in price over the divergence period (pivot-to-pivot), and (2) |ΔIndicator| - the magnitude of the change in indicator value over the divergence period.
Because different indicators' scales and volatility can vary greatly, the Δ values are expressed in terms of standard deviation to ensure that the values are meaningful and equitable across all indicators and assets/instruments/currency pairs, etc:
|ΔIndicator| = |indicator_value_1 - indicator_value_2| / 2 * StDev(indicator_series,100)
Based on work for my Strength of Divergence Across Multiple Indicators script:
[blackcat] L3 Low TF ScalperLevel 3
Background
Low time scapling is a challenge, I am always working on developping better scalper for low timeframe (TF)
Function
Lower time frame trading is known as scalping. It is often considered as a risky strategy as you have a small margin to make a mistake. In fact, you have to get the best trading accounts for the scalp. Choosing a faulty account and trying to earn money with the low-end tools will result in big losses.
This is a simple but powerful scalper which may need you to set up reference look back period e.g. "3D" == 3 days, or "5D" == 5 days,high of high and low of low as basic resistance and support levels. Because if you set up proper look back parameter as a string of resolution , it is simple but valid levels for your to judge whether price is in oversold or overbought status.
I use green labels 'B' to indicate oversold buy based on look back period set and red labels "S" inidcating overbought sell based on look back period parameter as well.
Remarks
Free but closed source.
Feedbacks are appreciated.
Know Sure Thing with AlertsIts the same basic Know Sure Thing Indicator, just added alerts and labels for crossovers in it.
Hope you all like it.
Enjoy
Outliers Detector with N-Sigma Confidence Intervals (TG fork)Display outliers in either value change, volume or volume change that significantly deviate from the past.
This uses the standard deviation calculation and the n-sigmas statistical rule of significance, with 2-sigma (a value of 2) signifying that the observed value is stronger than 95% of past values, and 3-sigma 98.5% of past values, and so on for higher sigma values.
Outliers in price action or in volume can indicate a strong support for the move, and hence potentially more moves in the same direction in the future. Inversely, an insignificant move is less likely to be supported. And of course the stronger, the more support.
This indicator also doubles as a standard volume indicator if volume is selected as the source, but with the option of highlighting outliers.
Bars below significance can be uncolored (gray) to unclutter the visuals.
Differently to almost all other similar indicators, the background highlighting is dynamical, so that all values will be highlighted differently, not just 2-sigma or 3-sigma, but also 4-sigma, 5-sigma, etc, with a different value of transparency.
The dynamical transparency value can be calculated in two ways: either statically proportionally to the n-sigma but capped at 10-sigma, or either as a ratio relative to the highest observed sigma value over the defined lookback period (default: 300).
If you like this indicator, which is an extension of previously published indicators, please give some love to the original authors:
* tvjvzl :
* vnhilton :
This extension, authored by Tartigradia, extends tvjvzl's indi, implements vnhilton's idea of highlighting the background, and go further by adding dynamical background highlighting for any value of sigma, add support for volume and volume change (VolumeDiff) as inputs, add option to uncolor insignificant bars, allow plotting in both directions and more.
