Signal to Noise TrendSignal to Noise Ratio
The Signal to Noise Ratio or SNR is used to assess the quality of information or data by comparing the strength of a useful signal to the presence of background noise or random variations.
In Finance the SNR refers to the ratio of strength of a trading signal to the background noise. A high SNR suggest a clear and reliable signal, meanwhile a low SNR indicates more noise (random fluctuations, volatility, or randomness).
Signal To Noise Trend
This indicator basically calculates the signal to noise of returns and then gets the Z-Score of the signal to noise ratio to find extremes levels of signal and noise. The Lines basically are standard deviations from the mean. 1,2,3 Are standard deviations same with the -1,-2,-3 Lines.
The signal is expressed as the positive Z-Score value, and the Noise is the negative Z-Score Value.
The moving average enhances the indicator ability to display the trend of returns and the trend strength. It provides a smooth representation of the Signal to Nose Ratio values.
There are more trending conditions when there is a higher signal, and there is more "ranging" conditions when there is more noise present in the markets.
The Standard deviations help find extreme levels of signal and noise. If the noise reaches the standard deviation of -3 then that means that there is a extreme negative deviation from the mean, and this would be a rare occurrence, with a lot of noise. This could indicate a potential reversion in market states, and could be followed by a trending move.
Another example is that if the Z-Score value reaches a Standard deviation of 3, this could mean that there is extremely strong and rare signal, and could potentially mean a change to a more noisy environment soon.
Центральные осцилляторы
TASC 2023.10 COT Commercials Indicator█ OVERVIEW
This script implements the COT Commercials Indicator introduced by Alfred François Tagher in an article featured in TASC's October 2023 edition of Traders' Tips . The indicator is designed for use in futures markets and represents a fast stochastic (%K) calculated based on the commercial open interest values of an asset derived from the weekly Commitments Of Traders (COT) report .
█ CONCEPTS
The COT report, issued by the Commodity Futures Trading Commission (CFTC) , presents a breakdown of reportable open interest positions held by various trader groups—commercial, noncommercial, and nonreportable (small traders). Open interest reflects the total number of derivative contracts entered by market participants but not yet settled. Consequently, it can serve as a measure of market activity and liquidity.
The indicator showcased here aims to analyze changes in the reported net values of open interest for commercial traders/hedgers (often referred to as 'smart money', as they deal directly in underlying commodities). The net values are positive when the commercial traders have more long positions than short ones and negative when they hold more short positions than long ones. Positive net values indicate that commercial traders hold more long positions than short ones, while negative values indicate the opposite. Thus, overbought and oversold conditions of the COT Commercials Indicator potentially suggest collective bullish and bearish sentiments, respectively.
█ CALCULATIONS
The calculations involve these steps:
1. Net open interest values are extracted from COT data using the LibraryCOT library provided by TradingView.
2. A fast stochastic indicator (%K) is then applied to normalize these net values.
The script also provides an option of calculating and plotting the indicator curve for noncommercial (speculators) open interest.
Alxuse MACD for tutorialAll abilities of MACD, moreover :
Drawing upper band and lower band & the ability to change values, change colors, turn on/off show.
Crossing MACD line and SIGNAL line in multi timeframe & there are symbols (Circles) with green color (Buy) and red color (Sell) & the ability to change colors, turn on/off show.
Crossing MACD line and SIGNAL line in multi timeframe according to the values of upper band and lower band & there are symbols (Triangles) with green color (Long) and red color (Short) & the ability to change colors, turn on/off show.
The ability used in the alert section and create customized alerts.
To receive valid alerts the replay section , the timeframe of the chart must be the same as the timeframe of the indicator.
MACD (Moving Average Convergence/Divergence)
Definition
MACD is an extremely popular indicator used in technical analysis. MACD can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes MACD so informative is that it is actually the combination of two different types of indicators. First, MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum.
MACD Line is a result of taking a longer term EMA and subtracting it from a shorter term EMA.The most commonly used values are 26 days for the longer term EMA and 12 days for the shorter term EMA, but it is the trader's choice.
The Signal Line.
The Signal Line is an EMA of the MACD Line described in Component 1. The trader can choose what period length EMA to use for the Signal Line however 9 is the most common.
The MACD Histogram.
As time advances, the difference between the MACD Line and Signal Line will continually differ. The MACD histogram takes that difference and plots it into an easily readable histogram. The difference between the two lines oscillates around a Zero Line.
A general interpretation of MACD is that when MACD is positive and the histogram value is increasing, then upside momentum is increasing. When MACD is negative and the histogram value is decreasing, then downside momentum is increasing.
What to look for
The MACD indicator is typically good for identifying three types of basic signals; Signal Line Crossovers, Zero Line Crossovers, and Divergence.
SIGNAL LINE CROSSOVERS
A Signal Line Crossover is the most common signal produced by the MACD. First one must consider that the Signal Line is essentially an indicator of an indicator. The Signal Line is calculating the Moving Average of the MACD Line. Therefore the Signal Line lags behind the MACD line. That being said, on the occasions where the MACD Line crosses above or below the Signal Line, that can signify a potentially strong move.
The strength of the move is what determines the duration of Signal Line Crossover. Understanding and being able to analyze move strength, as well as being able to recognize false signals, is a skill that comes with experience.
The first type of Signal Line Crossover to examine is the Bullish Signal Line Crossover. Bullish Signal Line Crossovers occur when the MACD Line crosses above the Signal Line.
The second type of Signal Line Crossover to examine is the Bearish Signal Line Crossover. Bearish Signal Line Crossovers occur when the MACD Line crosses below the Signal Line.
Zero line crossovers
Zero Line Crossovers have a very similar premise to Signal Line Crossovers. Instead of crossing the Signal Line, Zero Line Crossovers occur when the MACD Line crossed the Zero Line and either becomes positive (above 0) or negative (below 0).
The first type of Zero Line Crossover to examine is the Bullish Zero Line Crossover. Bullish Zero Line Crossovers occur when the MACD Line crosses above the Zero Line and go from negative to positive.
The second type of Zero Line Crossover to examine is the Bearish Zero Line Crossover. Bearish Zero Line Crossovers occur when the MACD Line crosses below the Zero Line and go from positive to negative.
Divergence
Divergence is another signal created by the MACD. Simply put, divergence is when the MACD and actual price are not in agreement.
For example, Bullish Divergence occurs when price records a lower low, but the MACD records a higher low. The movement of price can provide evidence of the current trend, however changes in momentum as evidenced by the MACD can sometimes precede a significant reversal.
Bearish Divergence is, of course, the opposite. Bearish Divergence occurs when price records a higher high while the MACD records a lower high.
Summary
What makes the MACD such a valuable tool for technical analysis is that it is almost like two indicators in one. It can help to identify not just trends, but it can measure momentum as well. It takes two separate lagging indicators and adds the aspect of momentum which is much more active or predictive That kind of versatility is why it has been and is used by trader's and analysts across the entire spectrum of finance.
Despite MACD's obvious attributes, just like with any indicator, the trader or analyst needs to exercise caution. There are just some things that MACD doesn't do well which may tempt a trader regardless. Most notably, traders may be tempted into using MACD as a way to find overbought or oversold conditions. This is not a good idea. Remember, MACD is not bound to a range, so what is considered to be highly positive or negative for one instrument may not translate well to a different instrument.
With sufficient time and experience, almost anybody who wants to analyze chart data should be able to make good use out of the MACD.
The added features to the indicator are made for training, it is advisable to use it with caution in tradings.
Rolling VWAP OscillatorTL;DR - TradingView's Rolling VWAP as centered oscillator
I really like TradingView's rolling VWAP (Rolling Volume-Weighted Average Price - RVWAP) indicator. But I also like clean charts that's why I'm mainly using indicators which are not displayed on the chart. Instead of simply moving the RVWAP to another pane I turned it into a centered oscillator. This allows me checking the RVWAP while having my chart clean.
You can find the oroginal RVWAP here .
Creds to TradingView for creating this indicator 👍
* I also added a fourth deviation band, gradient colors and the option to switch between candles and lines.
ZN Market CycleDescription
The purpose of this indicator is to create symbols that try to show the most accurate positions possible for trading. The formation of BUY/SELL symbols is based on the intersection of RSI, MACD and 6 bar moving average. Additionally, BOLLINGER bands were used to determine the lower and upper points. For example, while the price is falling, it will create an BOTTOM symbol when the price crosses the lower BOLLINGER band upwards. If this transition is accompanied by the RSI breaking its average upwards, it will produce the STRONG BOTTOM symbol. If the RSI average crosses the RSIMA direction upwards, it will produce the DEEP symbol. Of course, the scenario described above is also valid in the opposite direction. The purpose of the icons on the screen is indicated by the text above them. However, a detailed explanation of what these symbols do is given below.
Symbols
The symbols are explained one by one below.
BOTTOM: Indicates that the fall has slowed down or may have been completed.
STRONG BOTTOM: Indicates that the fall has stopped or may have been completed.
TOP: Indicates that the ascent has slowed down or may have been completed.
STRONG TOP: Indicates that the ascent has stopped or may have been completed.
BUY: Indicates the convenient location to make a buying. Buying pressure may increase after this symbol.
STRONG BUY: Indicates the most suitable location for buying. It should be considered that a strong buying wave may come after the appearance of this symbol.
SELL: Indicates the appropriate location to selling Selling pressure may increase after this symbol.
STRONG SELL: Indicates the most suitable position to selling. It should be considered that a strong selling wave may come after the appearance of this symbol.
PEAK: It indicates that the uptrend has come to an end.
DEEP: It indicates that the downtrend has come to an end.
ARROWS: Arrows show the trend direction. Since it varies a lot, it should be used to follow the trend rather than buy/sell. However, the appearance of a downward arrow shortly after a buy signal should suggest that the buy signal is fake. In this case, the buying position can be closed. This also applies to the selling process.
Best Use
This indicator should be used for SPOT trades. Regardless, since it is not possible to know exactly the direction of the market, it should be considered to buy gradually at buy signals and sell gradually at sell signals.
It should be followed for at least a 4-hour period. We do not recommend its use as the margin of error will increase in shorter time periods.
After a buy signal comes, a short decline may occur and the rise may begin. An immediate rise should not be expected after the signal arrives. Since the signals are not guaranteed to work 100%, we do not recommend you to trade with all your money.
No Repainting
Repainting is definitely not done. After the symbols appear, the closing should be expected. Once the closing occurs, the symbol will now be permanent.
Disclaimer
This indicator is for informational purposes only and should be used for educational purposes only. You may lose money if you rely on this to trade without additional information. Use at your own risk.
Version
v1.0
Math NeuronThis open source script uses the mathematical rules of a classic two-input neuron with two weights and one bias(x * w1 + y*w2 + b).
The two inputs are the rsi (length 14) of close and volume, The result that we try to anticipate is the development of a pivot high or a pivot low (high or low candle are the max or min of the previous n° )
The activation function is sigmoid(binary results).
Zaree - Bull & Bear Volume VoidThe "Zaree - Bull & Bear Volume Void" (BBVV) indicator is a versatile tool designed to help traders assess the dynamics of bull and bear power in the market, with a focus on volume-based analysis. This indicator offers a range of features that aid in identifying potential shifts in market sentiment and strength.
Details of the Indicator:
Volume Void Color Settings: This indicator allows you to customize the colors used for different conditions, such as strong bull areas, slowing bull areas, strong bear areas, and slowing bear areas. These colors play a crucial role in visualizing the indicator's output.
Volume Void Settings: The BBVV indicator provides options for selecting specific volume void functions, which include "Relative Volume Comparison," "Percentage of Average Volume," "Fixed Volume Threshold," "Volatility-Adjusted Volume," "Compare to Previous Volume Bars," "Volume Percentile Rank," and "Market Session Comparison." Each function has its own criteria for evaluating volume conditions.
Void Bull Sensitivity and Void Bear Sensitivity: These are key parameters in the settings. The values you choose for void bull sensitivity and void bear sensitivity will significantly impact the background color displayed by the indicator. Properly configuring these values is crucial for the indicator's effectiveness.
Moving Average Settings: You can specify the source and length of moving averages used in the indicator. This helps in smoothing out data and providing a clearer picture of bull and bear power.
Void Color Background Conditions: The indicator dynamically changes the background color of the chart based on the current market conditions. It takes into account bull and bear power, as well as the configured sensitivity levels to determine whether the market is in a strong or slowing bull/bear phase.
MACD and Signal Lines: The indicator also displays MACD and signal lines on the chart, helping traders identify potential bullish and bearish crossovers.
Histogram Bars: Histogram bars are used to represent the strength of bull and bear power. Above-zero bars indicate bullish strength, while below-zero bars indicate bearish strength.
How to Use the Indicator:
Begin by customizing the color settings for different market conditions to your preference.
Select a volume void function that aligns with your trading strategy and objectives.
Configure the void bull sensitivity and void bear sensitivity values carefully. These values should reflect your desired sensitivity to volume conditions.
Choose the source and length of moving averages based on your analysis requirements.
Pay attention to the background color of the chart. It will change dynamically based on the current market conditions, providing insights into the strength of bull and bear power.
Observe the MACD and signal lines for potential bullish or bearish crossovers, which can be used as additional confirmation signals.
Interpret the histogram bars to gauge the strength of bull and bear power.
Example of Usage:
As a swing trader with a focus on volume analysis, you can use the BBVV indicator to enhance your trading decisions. Here's an example of how you might use the indicator:
Select "Relative Volume Comparison" as the volume void function to assess volume relative to a simple moving average.
Configure void bull sensitivity and void bear sensitivity to match your risk tolerance and trading style.
Choose "SMA" as the moving average type with a suitable length.
Pay attention to the background color changes in the chart. Strong bull areas may indicate potential bullish opportunities, while strong bear areas may signal bearish conditions.
Monitor the MACD and signal lines for potential crossovers, aligning them with the background color to validate your trading decisions.
Use the histogram bars to assess the strength of bull and bear power, helping you gauge market sentiment.
Remember that the BBVV indicator is a valuable tool to complement your trading strategy. It provides insights into volume dynamics and market conditions, allowing you to make informed trading choices.
Be sure to adjust the indicator settings according to your trading preferences and always consider the broader market context in your analysis.
Macd 6 timeframes ( include chart time with histogram) AboSary 15min, 1h, 4h, D, W, (chart time) + Histogram
All can be show or hide by you and change colors :)
ماكد يشمل 6 فواصل زمنية 15د، 1ساعة، 4ساعات, يوم، اسبوع بالاضافة الى مكاد للفاصل المستخدم بالشارت ايضاً هيستوغرام لنفس الفاصل المعروض في الشارت
مثال لو وضعت نصف ساعة تجد مكاد نص ساعة والهستوغرام كذلك نصف ساعة
جميع الخيارات يمكنك اغلاق اي منها وتغيير الوانها
Opportunity_SniperThis script is based on divergence situation related to momentum and price.
For this we have 4 strategies divergence calculation :
So user can choose which strategy will be applied on chart from input. one of them or all of them.
Also user can activate swing High ang swing Low be shown on chart.
Below explanation of strategy what is doing :
Strategy 1 or Strategy 2 script tracks the price and compares it with momentum indicators to detect positif and negative divergnce
While strategy 3, script monitors the momentum and compares it with the price to detect positif and negative divergnce
Finally strategy 4, script monitors the momentum and compares it with the volume to detect positif and negative divergnce
How to use or benefit from script:
For Long position :
Depending on whiche strategy you will choose, when the Div Buy stgx signal appears, this means the appearance of Divergence, which leads to the beginning of bull Buy Momentum.
Wait for the conf Buy signal to appear and confirm your long entry and put your Stop Loss below the last swing low candle
For short position :
Depending on whiche strategy you will choose, When the Div Sell stgx signal appears, this means that Divergence has appeared, which leads to the start of Bearish Sell Momentum.
Wait for the conf Sell signal to appear and confirm your short entry and put your Stop Loss above the last swing high candle
Disclaimer
The content within my Scripts, Indicators, Ideas, Algorithms, and Systems is not intended as financial advice or an invitation to trade or invest in any securities.
I disclaim liability for any losses or damages, including loss of profit, arising directly or indirectly from reliance on the information provided.
All investments entail risks, and past performance of securities, industries, sectors, markets,
financial products, trading strategies, backtests, or individual trading does not guarantee future outcomes or returns.
Traders bear full responsibility for their investment choices, predicated on their financial circumstances, objectives, risk tolerance, and liquidity requirements.
My Scripts, Indicators, Ideas, Algorithms, and Systems are purely for educational purposes!
Volatility Adjusted MACDMACD, short for moving average convergence/divergence, is a trading indicator used in technical analysis of securities prices, created by Gerald Appel in the late 1970s. It is designed to reveal changes in the strength, direction, momentum, and duration of a trend in a stock's price.
The MACD indicator (or "oscillator") is a collection of three time series calculated from historical price data, most often the closing price. These three series are: the MACD series proper, the "signal" or "average" series, and the "divergence" series which is the difference between the two. The MACD series is the difference between a "fast" (short period) exponential moving average (EMA), and a "slow" (longer period) EMA of the price series. The average series is an EMA of the MACD series itself.
This version of MACD follows the work of Alex Spiroglou, DipTA(ATAA), CFTe in his 2022 paper that was awarded Charles H. Dow Award by CMT Association . The paper is available on papers.ssrn.com or on website.of CMT Association.
Please refer to the paper for details on construction and trading rules . I personally find the volatility adjusted version as described in this paper more responsive in terms of signals and divergences.
Composite Momentum IndicatorComposite Momentum Indicator" combines the signals from several oscillators, including Stochastic, RSI, Ultimate Oscillator, and Commodity Channel Index (CCI) by averaging the standardized values (Z-Scores). Since it is a Z-Score based indicators the values will be typically be bound between +3 and -3 oscillating around 0. Here's a summary of the code:
Input Parameters: Users can customize the look-back period and set threshold values for overbought and oversold conditions. They can also choose which oscillators to include in the composite calculation.
Oscillator Calculations: The code calculates four separate oscillators - Stochastic, RSI, Ultimate Oscillator, and CCI - each measuring different aspects of market momentum.
Z-Scores Calculation: For each oscillator, the code calculates a Z-Score, which normalizes the oscillator's values based on its historical standard deviation and mean. This allows for a consistent comparison of oscillator values across different timeframes.
Composite Z-Score: The code aggregates the Z-Scores from the selected oscillators, taking into account user preferences (whether to include each oscillator). It then calculates an average Z-Score to create the "Composite Momentum Oscillator."
Conditional Color Coding: The composite oscillator is color-coded based on its average Z-Score value. It turns green when it's above the overbought threshold, red when it's below the oversold threshold, and blue when it's within the specified range.
Horizontal Lines: The code plots horizontal lines at key levels, including 0, ±3, ±2, and ±1, to help users identify important momentum levels.
Gradient Fills: It adds gradient fills above the overbought threshold and below the oversold threshold to visually highlight extreme momentum conditions.
Combining the Stochastic, RSI, Ultimate Oscillator, and Commodity Channel Index (CCI) into one composite indicator offers several advantages for traders and technical analysts:
Comprehensive Insight: Each of these oscillators measures different aspects of market momentum and price action. Combining them into one indicator provides a more comprehensive view of the market's behavior, as it takes into account various dimensions of momentum simultaneously.
Reduced Noise: Standalone oscillators can generate conflicting signals and produce noisy readings, especially during choppy market conditions. A composite indicator smoothes out these discrepancies by averaging the signals from multiple indicators, potentially reducing false signals.
Confirmation and Divergence: By combining multiple oscillators, traders can seek confirmation or divergence signals. When multiple oscillators align in the same direction, it can strengthen a trading signal. Conversely, divergence between the oscillators can warn of potential reversals or weakening trends.
Customization: Traders can tailor the composite indicator to their specific trading strategies and preferences. They have the flexibility to include or exclude specific oscillators, adjust look-back periods, and set threshold levels. This adaptability allows for a more personalized approach to technical analysis.
Clarity and Efficiency: Rather than cluttering the chart with multiple individual oscillators, a composite indicator condenses the information into a single plot. This enhances the clarity of the chart and makes it easier for traders to quickly interpret market conditions.
Overbought/Oversold Identification: Combining these oscillators can improve the identification of overbought and oversold conditions. It reduces the likelihood of false signals since multiple indicators must align to trigger these extreme conditions.
Educational Tool: For novice traders and analysts, a composite indicator can serve as an educational tool by demonstrating how different oscillators interact and influence each other's signals. It allows users to learn about multiple technical indicators in one glance.
Efficient Use of Screen Space: A single composite indicator occupies less screen space compared to multiple separate indicators. This is especially beneficial when analyzing multiple markets or timeframes simultaneously.
Holistic Approach: Instead of relying on a single indicator, a composite approach encourages a more holistic assessment of market conditions. Traders can consider a broader range of factors before making trading decisions.
Increased Confidence: A composite indicator can boost traders' confidence in their decisions. When multiple reliable indicators align, it can provide a stronger basis for taking action in the market.
In summary, combining the Stochastic, RSI, Ultimate Oscillator, and CCI into one composite indicator enhances the depth and reliability of technical analysis. It simplifies the decision-making process, reduces noise, and offers a more complete picture of market momentum, ultimately helping traders make more informed and well-rounded trading decisions.
* Feel free to compare against individual oscillatiors*
[blackcat] L3 MACD and RSI Fusion The MACD and RSI fusion is a popular technical analysis strategy used by traders to identify buy and sell signals in the market. The strategy makes use of two popular technical indicators, the Moving Average Convergence Divergence (MACD) and the Relative Strength Index (RSI), and combines them to create a powerful trading signal.
The MACD and RSI fusion was originally developed for the Chinese stock market and is commonly used by traders all over the world. The strategy is based on the idea that the MACD and RSI indicators can be used together to provide a more accurate and reliable signal.
To use the MACD and RSI fusion , traders need to follow a few simple steps. The following code is the TradingView Pine script v4 indicator equivalent of the original MACD and RSI fusion code:
```
//@version=4
study(" MACD and RSI fusion ", overlay=false)
// Define the simple fusion indicator
simple_fusion = (ema(close, 12) - ema(close, 26)) * 1.2 + rsi(close, 14) / 50
// Define the simple fusion lag indicator
simple_fusion_lag = nz(simple_fusion )
// Plot the simple fusion and simple fusion lag indicators
plot(simple_fusion, color=color.blue, title="simple fusion")
plot(simple_fusion_lag, color=color.red, title="simple fusion Lag")
```
This code defines the simple fusion and simple fusion Lag indicators and plots them on the chart. The simple fusion indicator is the sum of the 12- and 26-period exponential moving averages of the closing price, multiplied by 1.2, and added to the 14-period relative strength index of the closing price, divided by 50. The simple fusion Lag indicator is the value of the simple fusion indicator from the previous period.
Traders can use the simple fusion and simple fusion Lag indicators to identify buy and sell signals. When the simple fusion indicator crosses above the simple fusion Lag indicator, it is a buy signal, and when the simple fusion indicator crosses below the simple fusion Lag indicator, it is a sell signal.
In conclusion, the MACD and RSI fusion is a simple but powerful technical analysis strategy that combines two popular technical indicators to identify buy and sell signals in the market.
CCI RSI Trading SignalThe "CCI RSI Trading Signal" indicator combines the Commodity Channel Index (CCI) and Relative Strength Index (RSI) to provide buy and sell signals for trading. The CCI identifies potential trend reversals, while the RSI helps confirm overbought and oversold conditions.
How It Works:
The indicator generates a buy signal when the CCI crosses above -100 (indicating a potential bullish reversal) and the RSI is below the specified oversold level. On the other hand, a sell signal is produced when the CCI crosses below 100 (indicating a potential bearish reversal) and the RSI is above the specified overbought level.
Customization:
Traders can adjust the RSI and CCI periods, RSI oversold and overbought levels, as well as take profit, stop loss, and lot size settings to suit their trading preferences.
Usage:
The "CCI RSI Trading Signal" indicator can be used on various timeframes and markets to aid in decision-making, providing potential entry and exit points based on the combined analysis of CCI and RSI.
Linear RegressionThis indicator can be used to determine the direction of the current trend.
The indicator plots two different histograms based on the linear regression formula:
- The colored ones represent the direction of the short-term trend
- The gray one represents the direction of the long-term trend
In the settings, you can change the length of the short-term value, which also influences the long-term as a basis that will be multiplied
Realtime Divergence for Any Indicator - By John BartleThe main purpose of this script is to show historical and real-time divergences for any oscillating indicator. The secondary purpose is to give the user a lot of precise control over identifying divergences and determining what they are. This is an improved version of my other script which is similarly called "Realtime Divergence for Any Indicator"
There are four types of divergences that are offered:
Bull divergence
Hidden bull divergence
Bear divergence
Hidden Bear divergence
There are three types of potential(real-time) divergences which include:
1) Without right side bars for rightside pivots. Plus without waiting for the rightside pivot bar to complete
2) Without right side bars for rightside pivots. Plus with waiting for the rightside pivot bar to complete
3) With right side bars for rightside pivots. Plus without waiting for the rightside pivot right-most bar to complete
A definite divergence occurs when all specified bars are accounted for and fully formed.
Potential divergences use dashed lines and definite(historical) divergences use solid lines.
In addition to several other categories of settings to filter out unwanted divergences or manipulate the search process, this script also offers Alerts. Remember that alerts must not only be set within this scripts settings but also your "Alerts" panel on your right. It's strange but BOTH must be set for alerts to work...
Other interesting Things To Know:
1)I actually don't trade and so I have no need of a paid account. Unpaid accounts don't have the playback feature so I haven't really tested this script out very well. Sorry. Just let me know if something seems off and IF I have time I'll try to fix it.
2)Keep in mind that Pinescript limits the number of lines that can be shown at one time. This means that if your settings allow for a large number of divergence lines they will be removed from the leftward side of your chart but appear in the rightward side.
3) The time and the values for the price or oscillator are not the same things as each other nor are they physical things with physical space. This means that slopes of lines using the time as X and value as Y can not have definite angles. Consequently, under the setting "DIVERGENCES: SLOPE ANGLE EXCLUSION" YOU have to decide what slope equals what angle by using the setting called "Normalization Factor".
4) Remember that some individual settings apply to both the oscillator and price chart. This means that even if the setting's conditions are fulfilled in one they may not be fulfilled in the other.
5) Under the category "DIVERGENCES: INTERSECTION ALLOWANCE", if you set the "Measurement Type" to Relative Percentage then FYI any single given length will equate to an increasingly smaller percentage the further away from zero it is. Because of this, I think "Reletive Percentage" is probably only useful for price charts or oscillators with big values. Maybe >200 is OK ?
Errors:
1) If you get the error mentioning that the script must complete execution within X amount of time, this is because this is a big script and sometimes takes longer than your service plan's allotted time limit. You can just disable some of the settings to reduce the scripts amount of work and time. The biggest time savers will be to disable some lines and labels
2) If you get an error saying the script accessed a negative index(e.g. ) then try temporarily increasing the "Add More Array Elements" setting to 100-200. Sometimes it fixes the problem.
3) You may sometimes temporarily get an error that reads: "Pine cannot determine the referencing length of a series. Try using max_bars_back in the study or strategy function".
If this happens there are several things that you can do:
3A) Create a copy of my script. Then edit the section of code that looks like this ")//, max_bars_back = INSERT_YOUR_QUANTITY_HERE)" and transform it to look like this new code ", max_bars_back = INSERT_YOUR_QUANTITY_HERE)" then repeatedly try replacing "INSERT_YOUR_QUANTITY_HERE" with an increasingly larger number greater than 244 but less than 5000.
This method will increase your system resources and could cause other problems. Try changing the code back after a few hours and see if all is well again. It is a Pinescript limitation issue and happens when certain functions or variables don't get used at least once within the first 244 bars.
3B) Adjust your settings to hopefully find a divergence within the first 244 bars. If one is found then the problematic variables or functions should get used and the Pinescript 244 bar limitation should be temporarily resolved.
3C) Wait for X number of new bars to occur. If a divergence is eventually found within the first 244 bars that should solve the issue.
Tips:
1) If the amount that a setting changes value is undesirable for each time you click it then you can change that amount in the code. To do that, you'll need your own copy of my script. To make your own copy just click on "create a working copy" in the brown colored strip area above the code. Then within approximately the first 108 lines find the title of the setting you want to change. Then look to it's right to find the parameter called "step =". Change what the step equals to whatever you want. FYI, you can hover your mouse over the blue colored code and a popup will tell you what parameters(i.e. settings) that function(e.g. "input.int()") has available.
Coppock Curve w/ Early Turns [QuantVue]The Coppock Curve is a momentum oscillator developed by Edwin Coppock in 1962. The curve is calculated using a combination of the rate of change (ROC) for two distinct periods, which are then subjected to a weighted moving average (WMA).
History of the Coppock Curve:
The Coppock Curve was originally designed for use on a monthly time frame to identify buying opportunities in stock market indices, primarily after significant declines or bear markets.
Historically, the monthly time frame has been the most popular for the Coppock Curve, especially for long-term trend analysis and spotting the beginnings of potential bull markets after bearish periods.
The signal wasn't initially designed for finding sell signals, however it can be used to look for tops as well.
When the indicator is above zero it indicates a hold. When the indicator drops below zero it indicates a sell, and when the indicator moves above zero it signals a buy.
While this indicator was originally designed to be used on monthly charts of the indices, many traders now use this on individual equities and etfs on all different time frames.
About this Indicator:
The Coppock Curve is plotted with colors changing based on its position relative to the zero line. When above zero, it's green, and when below, it's red. (default settings)
An absolute zero line is also plotted in black to serve as a reference.
In addition to the classic Coppock Curve, this indicator looks to identify "early turns" or potential reversals of the Coppock Curve rather than waiting for the indicator to cross above or below the zero line.
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers!
PTS Pi-Osc V1
The PTS - Pi-Osc know as Precision Index Oscillator by Roger Medcalf - Precision Trading Systems.
How does the Pi-Osc work?
Pi-Osc is a highly sophisticated consensus type indicator comprising of many different component signals.
A technical traders tool that measures everything from divergences to probabilities all blended into one simple to use product.
The buy and selling opportunities are highlighted by the moves away from + or - 3.14.
Simple to use for all levels of experience from beginner to expert and offers a unique edge in terms of precision.
The components that go into computations are identified below.
Money flow index provides a simple snapshot of how sold out or pumped up a stock or future really is and when measured in three different time frames gives a slick consensus view of money flow.
Relative strength index (RSI) still the No1 most popular indicator in use today as its power to identify overbought and oversold qualities in sideways markets is exceptional.
Its poor performance in trends is greatly reduced when seamlessly integrated with the PI-Osc algorithm.
Demand index being one of the designers favourite indicators for measuring the future direction caused by a large volume trade is incorporated here as well as its exceptional efficiency as a divergence indicator.
James Sibbet's creation provides an additional stellar incisive cutting accuracy to the Pi-Osc. Sibbets creation is one of the only indicators with true predictive qualities as a leading indicator.
Divergences. Pi-Osc measures divergences which occur over many look back periods from two different indicators, realising that divergences are often spurious in their reliability, the indicator only factors 4% of the total indicator
reading from these. Paradoxically the buy and sell zones have to have at least one observation of a divergence to trigger a signal.
Volume is always a factor that precedes a price change, as stock prices cannot move without a real money value being assigned to it either as a recent trade or a bid-offer order being placed.
The designer's understanding of volume patterns is a very useful addition incorporated into the Pi-Osc indicators unique conception.
Momentum frequently decelerates prior to market turning points and PI-osc is monitoring several timeframes of smoothed momentum samples in its calculations.
But unlike a conventional rate of change or momentum indicator the Pi-Osc indicator scores a neutral reading when momentum is rising or falling fast, and a reading is only factored into the output when momentum is reducing, thus
indicating a higher probability of success.
Probability is another feature of this algorithm.
Although rarely used in industry standard oscillators, the designer has added a standard deviation (2.9) factor into this indicator as the more usual 2 standard deviations used in Bollinger bands is just not reliable enough to bet hard earned cash on.
Normally distributed price sets have a 99.9% containment within 3.3 standard deviations, so when this is breached the Pi-Osc adds or deducts a further value to its output number.
Stochastics have similar attributes to RSI oscillators and have contributed a factor into PI-osc due to their smooth and reliable ability to identify buying and selling points in non trending markets.
Price patterns. Generally the industry standard oscillators just use the closing price to calculate their values, and although some indicators such as the stochastic use the high and low in their mathematics, few oscillators are actually programmed to respond to unique candlestick chart set ups.
PI-osc is setting the standard with its intelligent programming to recognise when the current chart pattern is shouting buy signals. Several of the more reliable patterns are factored into the algorithm.
When all the maths is done, Pi-Osc does an exceptional job of determining true buying and selling points.
Basically the trading interpretation is made very simple for you, as the buy and sell zones are so logically determined, not by one factor but from a large consensus "vote" from more than one different computation.
The benefits of this indicator are that it saves valuable time in "confirming technical analysis signals" and all trades know time is precious as large price changes can be missed in seconds while checking other confirming factors.
It takes the hard work out of it, and lets your computer do the brain work.
Ideally this indicator is best as an entry signal, and exits are best done with a trailing stop which has a logical trend following exit, as its quite rare that the Pi-Osc will run right to the other extreme and issue a reverse signal.
Precision Index Oscillator has now got a new rule as a result of the gradual rise in market volatility.
Apart from the other well known main rules to wait for the bounce away from Pi and trade in the direction of the major trend, the new rule is to experiment to find the best historical timeframe.
In the old days it would fire up very nicely on a 10 minute chart of most things, and still does (sometimes) but the futures markets and the very volatile cryptocurrencies now go way out of the old extremities in terms of deviations from the norm.
So it is essential to know what the market volatility is capable of on each instrument.
The point being made here is that using this on very short term time frames is not as safe as used to be.
Institutions enjoy working together to drive the prices into areas where most traders did not expect them to go, taking out all the stops and getting a better price for themselves.
So the first task after ordering this product is to create multiple minute chart settings in your Trading View platform and then click through them and there you will find hopefully find the holy grail, just like finding the best guitar,
amplifier and effects pedal settings for creating your own personalized type of music, finding the best timeframe to use you Pi-Osc is the essential work.
The holy grail usually turns out to be nothing more complex than a stop watch:
If the best setting turns out to be 15 minutes or 30 seconds on a volatile market or a 4 hours minute chart on a very volatile market then so be it.
Who cares? Does it matter?
All that matters is you find the way to get to the best results from this product.
Precision Index Oscillator has eight rules
1. Trade in the direction of the major trend
2. Find the time frame that has worked best in historical testing ( This can be a different setting for each market )
3. ALWAYS use a stop loss
4. Wait for the bounce away from Pi
5. Wait for the bounce away from Pi
6 Wait for the bounce away from Pi
7 Wait for the bounce away from Pi
8. Remember the other seven rules.
Precision Index Oscillator clarification of rules 3 to 7
This indicator can stay locked at the extreme Pi level for many bars, days, hours, minutes, seconds etc.
Taking the signal before the bounce comes is like the well known phrase "catching the falling knife".
Taking the signal before the bounce is a "Pi-Crime" and is a bad idea. Ignoring this point will likely result in losses
As Ed Seykota puts it in his usual amusing style, the problem with catching falling knives is that there are more knives than we have fingers.
He is referring to a market sell off rather than a sell off in one market.
When everything is crashing and we buy all of the crashing things at once, yes you guessed it: A painful day for the fingers!
Suggested settings for various lengths:
There are no settings to change. The beauty of Pi-Osc is there are no settings to be changed.
Your testing of "Pi signal qualifications" is confined only to selecting a time frame which appears to have offered good Pi-trades in the past.
This does not guarantee future signals will be good, and this is why risk control is essential.
Of course it is smart to experiement with different time periods of chart.
Execution of trades:
Exercise caution with this product.
Risk control is essential and risking more than 1% to 1.5% of your capital from entry price to stop would NOT be advised:
As with hunting, firing out lots of small trades in a shot gun approach will lead to better results than gambling all on the first signal you see.
There is much more chance of hitting a bird with a shot gun than a canon and the ammunition is much cheaper.
Always always use a stop loss. Something like 3 to 7 times a fifty period average true range for example.
Whilst it is often possible that a Pi-bounce appears exactly at the precise high or low of the week and could be the only one you see it is risky just to pile into it instantly as some markets produce several failed signals which continue to move in the same direction.
The safest and least risky method is to wait for the trend to change after the Pi-bounce. This is subjective to your own definition of how to measure the trend as "changing" but I would suggest waiting for a 8-20 period Exponential average to turn around before entering a trade.
Once the trade is entered you can implement a trailing stop to allow maximum potential gains and if your style is one of wanting to take quick profits then it is wise to take only some partial profits and give the move a chance to go somewhere and exit the remainder when the trend changes.
If the move was picked up near the absolute top or bottom it could be a large mistake to bail out of all of it early.
Market selection is important:
Avoid markets in endless smooth trends. These are best trading with trend following products ( Pi-Osc is not a trend following product )
Look for a choppy up or down trend or sideways market with some cycle qualities to it.
Best results are on liquid markets, you can observe the past signals and often history repeats with the good previous signals tending to indicate that future signals may also be good. (This is not certain of course)
This is also true of a market showing several historically bad signals which may be leading to more bad signals.
If the past performance of this indicator is poor on the market you are viewing, then move to another market until one is found where the readings show good price action after the signals in historical data.
Time frames:
This product can be applied to any time frame of market but be aware as is stated above, the slower time frames yield more valid signals and shorter time frames lead to more randomness and noise ridden plots of lower significance.
That said, it provides a valid reason to enter a trade and can give good results providing good stops and risk control are used. I have seen plenty of valid signals on 30 second charts right up to weekly charts.
The reliability of short term intra day time frames is usually lower than weekly or daily time frames. As 10 minute time frame is more reliable than a 30 second chart.
Please take this into consideration, try slowing down the impulses to go fast.
I am now accepting payments in USD or CHF for this product
This is not because I expect a US Dollar collapse but as a precaution to spread currency risk over different classes.
As FX rates vary substantially you can find the option that is cheaper than the other and it is fine to do that and choose the cheaper payment option.
Thanks for reading and I hope you do well with Pi-Osc on Trading View, just remember all the eight rules. You do remember them don't you?
Roger Medcalf - Precision Trading Systems
Support and Resistance Oscillator [CC]The Support and Resistance Oscillator is an experimental script I created to identify when the current price breaks a support or resistance line and reflect this value in an oscillator formula. This indicator uses a threshold to decide the dividing line between buying and selling points. Feel free to change the threshold or smoothing settings to see if you find anything better since this is so experimental. I'm double smoothing the difference between the indicator and its signal line to attempt to capture a combo of the price momentum combined with the general support and resistance levels. I have used dark colors for strong signals and lighter colors for normal signals and make sure to buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts or indicators you would like to see me publish!
MACD 3D with Signals [Quantigenics]Quantigenics MACD 3D with Buy Sell Signals is a MACD-based trading indicator that aims to identify market trends and potential turning points, for Buy/Sell opportunities, by leveraging price data and volatility.
Unlike the traditional MACD indicator, the average price is calculated from the high, low, and close prices, from which a specialized MACD value is derived. This MACD value, combined with an average and standard deviation, takes into account volatility, and is used to generate an upper and lower boundary.
The indicator color-codes market trends: aqua indicates upward trends (signifying increased buying pressure), red suggests downward trends (increased selling pressure). When the MACD value crosses above the upper boundary or falls below the lower boundary, the color changes to yellow indicating a possible reversal point and "Momentum Crossover Signals" can be plotted at this point. "Standard Signal" arrows can also plotted when the MACD 3D changes from auqa to red and vice-versa.
A trendline is drawn at the median value, providing a baseline for comparison. A differential value, which measures the distance between the MACD value and the median line, provides additional insight into the price's deviation from this baseline (divergences from the underlying price can be spotted using this data as well). The differential is color-coded: green when MACD is above the median, and red when it's below, with darker shades representing a decreasing gap.
Alerts can be set to trigger with the "Standard Signal" arrows appearing after MACD 3D changes from auqa to red and vice-versa and when the "Momentum Crossover Signal" arrows appear when the MACD value crosses above the upper boundary or falls below the lower boundary indicating a potential reversal. Providing immediate notifications which can be especially helpful in larger time frames where it may take time for a trade setup to develop.
CME_MINI:NQ1!
OANDA:XAUUSD
Enjoy the MACD 3D indicator. Happy Trading!
Velocity Acceleration Convergence Divergence Indicator [CC]I created the Velocity Acceleration Convergence Divergence Indicator, and it is quite a mouthful if I do say so. I based this script on my two previous scripts: Velocity Indicator and Velocity Acceleration Indicator . This acts like a typical MACD but is much faster with the responses. This indicator is created by finding the difference between the Velocity Indicator and Velocity Acceleration Indicator to determine the overall trend strength of the underlying stock. Like the other scripts, I coded the general buy and sell signals the same, so you would want to buy when the indicator crosses over above the zero midline and sell when it crosses below the zero midline. I have also used the same colors, so darker colors for strong signals and lighter colors for normal signals.
Please let me know if you would like me to publish another script or if you want something custom done!
Velocity Acceleration Indicator [CC]The Velocity Acceleration Indicator was created by Scott Cong (Stocks and Commodities Sep 2023, pgs 8-15). This is another personal variation of his formula designed to capture the overall velocity acceleration of the underlying stock by applying the velocity formula to the original indicator to find the acceleration of the underlying velocity. I changed a few things around and managed actually to get less lag and quicker signals for this version, so make sure you compare the Velocity Indicator script that I published yesterday. This indicator is also visually similar to a typical stochastic indicator but uses a different underlying calculation. This works well as a momentum indicator, and the values are completely unbounded, so the best ways to determine bullish or bearish trends is either by using a crossover or crossunder between the indicator and the midline or to buy or sell the indicator when it reaches a high or low point and starts to fall or rise respectively. I used the zero line for my default version to help determine the bullish or bearish trends. I have also included multiple colors to differentiate between very strong signals and normal signals, so very strong signals are darker in color, and normal signals use lighter colors. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators or scripts you would like to see me publish! I will have some more new scripts in the next week or so.
Adaptive MACD [LuxAlgo]The Adaptive MACD indicator is an adaptive version of the popular Moving Average Convergence Divergence (MACD) oscillator, returning longer-term variations during trending markets and cyclic variations during ranging markets while filtering out noisy variations.
🔶 USAGE
The proposed oscillator contains all the elements within a regular MACD, such as a signal line and histogram. A MACD value above 0 would indicate up-trending variations, while a value under 0 would be indicating down-trending variations.
Just like most oscillators, our proposed Adaptive MACD is able to return divergences with the price.
As we can see in the image above ranging markets will make the Adaptive MACD more conservative toward more cyclical conservations, filtering out both noise and longer-term variations. However, when longer-term variations (such as in a trending market) are prominent the oscillator will conserve longer-term variations.
The R2 Period setting determines when trending/ranging markets are detected, with higher values returning indications for longer intervals.
The fast and slow settings will act similarly to the regular MACD, however, closer values will return more cyclical outputs.
The image above compares our proposed MACD (top) with a regular MACD (bottom), both using fast = 19 and slow = 20 .
🔶 DETAILS
It is common to be solely interested in the trend component when the market is trending, however, during a ranging market it is more common to observe a more prominent cyclical/noise component. We want to be able to preserve one of the components at the appropriate market conditions, however, the regular MACD lack the ability to preserve cyclical component with high accuracy.
The MACD is an IIR bandpass filter. In order to obtain a lower passband bandwidth and a more symmetrical magnitude response (which would allow to conserve more precise cyclical variations) we can directly change the system calculation:
y = (price - price ) × g + ((1 - a1) + (1 - a2)) × y - (1 - a1) × (1 - a2) × y
where:
a1 = 2/(fast + 1)
a2 = 2/(slow + 1)
g = a1 - a2
Using division instead of multiplication on the second feedback weight allows further weighting the 2 samples lagged output, returning a more desirable magnitude response with a higher degree of filtering on both ends of the spectrum as shown in the image below:
We are interested in conserving cycles during ranging markets, and longer-term variations during trending markets, we can do this by interpolating between our two filter coefficients:
α × + (1 - α) ×
where 1 > α > 0 . α is measuring if the market is trending or ranging, with values closer to 1 indicating a trending market. We see that for higher values of α the original coefficient of the MACD is used. The image below shows various magnitude responses given multiple values of α :
We use a rolling R-Squared as α , this measurement has the benefit of indicating if the market is trending or ranging, as well as being constrained within range (0, 1), and having a U-shaped distribution.
If you are interested to learn more about the MACD see:
🔶 SETTINGS
R2 Period: Calculation window of the R-Squared.
Fast: Fast period for the calculation of the Adaptive MACD, lower values will return more noisy results.
Slow: Slow period for the calculation of the Adaptive MACD, higher values will return result with longer-term conserved variations.
Signal: Period of the EMA applied to the Adaptive MACD.
TEWY - Magic Momentum IndicatorMy goal is to equip every trader and investor with the essential tools necessary to confidently navigate the complexities of the financial markets, enabling them to consistently identify opportunities and maintain a position of strength on the winning side of their trades. This indicator stands as a potent tool, offering the capability to effectively assess longer-term momentum trends.
Allow me to provide some context regarding the genesis of this indicator. By keenly observing the pattern of momentum loss preceding each trend reversal, coupled with the notable decrease in the rate of price change, I've formulated this indicator. This design is rooted in the understanding that these dynamics hold key insights into the market's shifting trends.
So, I've developed this indicator with the purpose of granting you the ability to select and construct optional combinations of up to two comparable symbols. Through this, you gain a comprehensive and insightful perspective on the ever-evolving dynamics of the market.
This indicator acts like an oscillator and momentum line serves as a key determinant. When the line is positioned above 0, it signifies a positive momentum; conversely, if it rests below 0, it indicates a sideways to negative trend. This mechanism offers a clear and intuitive means of gauging prevailing market conditions.
Should you have any inquiries or require further clarification regarding this indicator, please do not hesitate to reach out to me via direct message. I am here to provide you with the necessary guidance and support to ensure your experience with this tool is both seamless and enriching. Your understanding and satisfaction remain my utmost priority.
By TEWY - Trade Easy With Yogesh
I am Yogesh
