PTS Demand IndexPTS Demand Index Indicator for Trading View coded by Precision Trading Systems
This is a complex volume-based indicator which has powerful applications as a leading indicator.
It belongs in Subgraph two under the chart. It ranges from minus 50 to plus 50 hence the reason that zero is significant in its interpretations.
On a regular daily chart of a stock you can consider approximately +29 as overbought and -25 as oversold.
Above zero is considered a bullish uptrend and below zero is seen as a bearish downtrend. This point is more valid on a slower time frame of Demand Index > 50
Shorter lengths of 6-12, etc. offer scalping opportunities for day traders or swing traders when peaks and troughs are encountered at the usual "overbought and oversold" levels similar to using RSI.
At this length you will see frequent crossings of zero as the window of data being examined is tiny.
As a future predictor of price action my preference is the longer lengths from 50 upwards. This makes for a smoother plot without it telling lies by being smoothed. Just increase the length.
They tell stories and show up insider buying and selling in a clear manner. The screenshot is length 200 and shows a power blast signal very well. Because it uses volume, a big volume trade that does not move the price much will often show up in the Demand Index Indicator, warning us of impending rapid price changes.
This is when two big traders or houses buy and sell to each other, both assuming they are right, but obviously one of them will be wrong. It is this wrong person rushing to get out of their position that causes the big move.
This is usually in the direction of the Demand Index move and this is a startling observation and seems to follow the "principle of least action" (PLA), or as Jesse Livermore said, "the price broke very badly on my selling which showed me which was the path of least resistance" . You don't need to take my word for this, just look at the chart.
There are six well known rules to Demand Index, which are widely published but still worth knowing.
However after using this for more than twenty five years I have identified some new "rules" which I will share.
The six "regular" rules
1. Divergences. If the price of a market is making a new low and DI is not this is a positive divergence seen as bullish
2. The extreme peak, this forecasts that price in the underlying market will move higher shortly. (A rare rule)
3. If the market is making new highs and Demand Index is not this is often a sign of a top and is also a bearish divergence
4. If Demand Index crosses above zero this usually signals a change in market trend
5. A long term divergence between prices and DI usually indicate a long term top or bottom is forming.
6. If DI is hovering around zero without much direction it is a sign of an indecisive and weak market lacking gusto.
The five "extra rules" of Demand Index below.
7. "The DI trend line break"
If one draws a trend line on the indicator when one has a nice place to put it that links two or three peaks or troughs together, then it breaks up or down through it, then it often signifies a price break in the same direction.
Demand Index will often signal this price break a few bars ahead of time (Sometimes as much as 10 bars ahead) Making it justified in its title as a "leading indicator" because those who know trade without telling what they know. Demand Index listens and reports it back to you.
8. "DI power blast"
(This is the example in the screenshot which lead to a big move up at 230pm UK time which is the US opening time on the ES SP500 Futures 30 second chart)
This is when a bigger than normal move occurs in DI, it does not have to "cross zero" in the event just that it can be just below or just above. It signals a big move in the direction of the blast. The example shot from -15 up to +5 in a couple of bars which lead to a 14 point move up in the futures a few minutes later.
9. "DI congestion break out"
A congested area in DI, such as is described of a stock price in a narrow range break out known as "NR" is a valid signal when emerging up or down from this range and predicts a move in that direction from the market studied.
10. "Failed zero break"
If a market is far above zero and falls down to it just puncturing it then rises up again, this is a bullish sign and a sign of a supportive market. The same applies to the vice versa signal. It acts as support and resistance often.
To be cautious you can use a plus or minus 2 or 3 as the threshold instead of zero, to give less fake signals.
11. "DI Support and resistance"
This one takes more of a deeper look. If you see a level of DI acting as support and draw a line across the subgraph two chart then you can sometimes see that this acts as support again even though the market price is totally different. A strange phenomenon but worth looking for. The same applies for resistance in the vice versa argument.
The original Demand Index formula has been adhered to exactly as it was designed without any deviations, smoothing or added parameters.
I was unable to find another script on Trading View which followed it exactly when checking against my other versions.
According to legend, the designer of this indicator Mr James Sibbet called a very big move in the Silver futures markets back in 1979 which was reported in his weekly newsletter called "Let's Talk Silver & Gold".
It was called the Silver short squeeze and the price doubled in just a few months. As a designer of trading software myself since 2006 I can say Demand Index is truly an elegant work of art.
More about divergences
Having studied many technical indicators over the years I have formed the opinion that Demand Index is the best of the best for finding meaningful divergences.
This indicator needs volume to work correctly at its best.
You can still use it on indices and Forex but as the essential volume element is missing the results will be less than optimal.
It will "work" as the library code assigns a volume of 1 if no volume is found on the symbol used.
The best markets are those with a lot of volume and a lot of players arguing over the direction.
Liquid futures and stocks do well with this indicator.
Please remember to use risk management and stop losses as not every signal will win.
Thanks for reading and good luck with using it on Trading View
Roger Medcalf - Precision Trading Systems
M-oscillator
ManipulatorTrade | InfoBarEnglish
With this indicator, you can track the instrument selected in the settings, there is also RSI, MACD, Stochastic. The InfoBar will show you overbought or oversold, as well as the trend in MACD.
You can track crypto dominance: BTC, ETH, USDT.
Also keep an eye on indices and metals.
There is VWAP which shows the average price weighted by volume over a certain period. All settings can be changed.
Українська
За допомогою даного індикатора ви можете відстежувати інструмент вибраний в налаштуваннях, так само є RSI, MACD, Stochastic. InfoBar вам покаже перекупленність або перепроданість, так само тренд в MACD.
Ви можете відстежувати крипто домінацію: BTC, ETH, USDT.
Так само слідкувати за індексами та металами.
Є VWAP, який показує середню ціну, виважену за обсягом за певний період. Усі налаштування можна змінити.
Русский
С помощью данного индикатора вы можете отслеживать инструмент выбранный в настройках, так же есть RSI, MACD, Stochastic. InfoBar вам покажет перекупленностть или перепроданность, так же тренд в MACD.
Вы можете отслеживать крипто доминацию: BTC, ETH, USDT.
Так же следить за индексами и металлами.
Есть VWAP который показывает среднюю цену, взвешенную по объему за определенный период. Все настройки можно изменить.
AI SuperTrend Clustering Oscillator [LuxAlgo]The AI SuperTrend Clustering Oscillator is an oscillator returning the most bullish/average/bearish centroids given by multiple instances of the difference between SuperTrend indicators.
This script is an extension of our previously posted SuperTrend AI indicator that makes use of k-means clustering. If you want to learn more about it see:
🔶 USAGE
The AI SuperTrend Clustering Oscillator is made of 3 distinct components, a bullish output (always the highest), a bearish output (always the lowest), and a "consensus" output always within the two others.
The general trend is given by the consensus output, with a value above 0 indicating an uptrend and under 0 indicating a downtrend. Using a higher minimum factor will weigh results toward longer-term trends, while lowering the maximum factor will weigh results toward shorter-term trends.
Strong trends are indicated when the bullish/bearish outputs are indicating an opposite sentiment. A strong bullish trend would for example be indicated when the bearish output is above 0, while a strong bearish trend would be indicated when the bullish output is below 0.
When the consensus output is indicating a specific trend direction, an opposite indication from the bullish/bearish output can highlight a potential reversal or retracement.
🔶 DETAILS
The indicator construction is based on finding three clusters from the difference between the closing price and various SuperTrend using different factors. The centroid of each cluster is then returned. This operation is done over all historical bars.
The highest cluster will be composed of the differences between the price and SuperTrends that are the highest, thus creating a more bullish group. The lowest cluster will be composed of the differences between the price and SuperTrends that are the lowest, thus creating a more bearish group.
The consensus cluster is composed of the differences between the price and SuperTrends that are not significant enough to be part of the other clusters.
🔶 SETTINGS
ATR Length: ATR period used for the calculation of the SuperTrends.
Factor Range: Determine the minimum and maximum factor values for the calculation of the SuperTrends.
Step: Increments of the factor range.
Smooth: Degree of smoothness of each output from the indicator.
🔹 Optimization
This group of settings affects the runtime performances of the script.
Maximum Iteration Steps: Maximum number of iterations allowed for finding centroids. Excessively low values can return a better script load time but poor clustering.
Historical Bars Calculation: Calculation window of the script (in bars).
UvRSIUvRSI (Ultra-violent RSI) is my first and most used script, it all started from here, both my trading and coding career and it is now available to the public for free.
This indicator is an hybrid indicator that (as suggested by the name) is mostly based on RSI, even if is a modified version of it.
I made this indicator once I seen multiple correlation between RSI and Stochastic RSI and I started using the basic indicators to trade.
But I wasn't satisfied by both, I think I could have a better hedge by removing some noise around, even if when you launch it it's like hyper "dirty*, stick around, because you can pretty modify anything in it.
What you see here is the hybrid RSI/Stock RSI version
The green/red line is representing the RSI, it changes from green to red given by a WMA calculation on the RSI itself
The dots you seen is where the StochRSI crossed, bullish or bearish
The purple background represent the actual Stoch RSI line, that I decided to keep plotted not in a line version to not get confused with the RSI, it's also the less important info IMHO you can find here, since the dots you seen when a Stoch cross already represent where the cross happended by the shape of the dot. (diamond shape: stong cross, dot: normal cross, cross: not the best, yellow cross: weak)
If this seems confusing, and you want to stick to another background as an info, in setting enable "alpha rainbow waves" and you background will look like this:
Alpha waves is another indicator I developed that I was able to merge into UVRSI and I think is powerful.
Is a way to apply price action theories into the RSI itself
A green cloud will appear when the indicator is bullish, or red if is bearish, it let you see when the UvRSI is kinda of exhausted by plotting a yellow apex above or below the main cloud, indicating that we are out the most latest traded areas, it suggest a possible change of direction or trend.
The indicator includes settings to change anything from the RSI to the Cloud to the Stoch to the WMA used to adapt it to any style of tradin g you prefer, I did use it andI do still prefer it over the normal RSI we are all used to since IMHO I was able to archieve a cleaner version of possible signal given by the indicator
Gaussian Average Rate Oscillator
Within the ALMA calculation, the Gaussian function is applied to each price data point within the specified window. The idea is to give more weight to data points that are closer to the center and reduce the weight for points that are farther away.
The strategy calculates and compares two different Rate of Change (ROC) indicators: one based on the Arnaud Legoux Moving Average (ALMA) and the other based on a smoothed Exponential Moving Average (EMA). The primary goal of this strategy is to identify potential buy and sell signals based on the relationship between these ROC indicators.
Here's how the strategy logic works
Calculating the ROC Indicators:
The script first calculates the ROC (Rate of Change) of the smoothed ALMA and the smoothed EMA. The smoothed ALMA is calculated using a specified window size and is then smoothed further with a specified smoothing period. The smoothed EMA is calculated using a specified EMA length and is also smoothed with the same smoothing period.
Comparing ROCs:
The script compares the calculated ROC values of the smoothed ALMA and smoothed EMA.
The color of the histogram bars representing the ROC of the smoothed ALMA depends on its relationship with the ROC of the smoothed EMA. Green indicates that the ROC of ALMA is higher, red indicates that it's lower, and black indicates equality.
Similarly, the color of the histogram bars representing the ROC of the smoothed EMA is determined based on its relationship with the ROC of the smoothed ALMA, they are simply inversed so that they match.
With the default color scheme, green bars indicate the Gaussian average is outperforming the EMA within the breadth and red bars mean it's underperforming. This is regardless of the rate of average price changes.
Generating Trade Signals:
Based on the comparison of the ROC values, the strategy identifies potential crossover points and trends. Buy signals could occur when the ROC of the smoothed ALMA crosses above the ROC of the smoothed EMA. Sell signals could occur when the ROC of the smoothed ALMA crosses below the ROC of the smoothed EMA.
Additional Information:
The script also plots a zero rate line at the zero level to provide a reference point for interpreting the ROC values.
In summary, the strategy attempts to capture potential buy and sell signals by analyzing the relationships between the ROC values of the smoothed ALMA and the smoothed EMA. These signals can provide insights into potential trends and momentum shifts in the price data.
OBV Oscillator Volume FilterOBV Oscillator Volume Filter
Introduction
The On-Balance Volume (OBV) is a widely-used technical indicator that aims to relate price and volume in trading. Price and volume are two of the most basic and yet crucial concepts in price movement. Together, they can reveal a lot about the instruments trends and the market's sentiment. This On Balance Volume (OBV) Oscillator incorporates enhanced features like a volume filter using a rolling window to detect outliers in accumulated volume, making it an advanced and more refined version of the standard OBV.
Interpreting the OBV Indicator
The primary function of the OBV is to accumulate volume. In simpler terms:
When the market closes higher than the previous candle, all of that candle's volume is considered 'up-volume'.
Conversely, when the market closes lower than the previous day, all of that candle's volume is considered 'down-volume'.
A rising OBV suggests that volume is being accumulated, indicating bullish market sentiment. A declining OBV, on the other hand, points to a bearish sentiment.
Features of the Script
1. Moving Averages Selection:
The script provides users with the option to select among six types of moving averages (EMA, DEMA, TEMA, SMA, WMA, HMA) to calculate the OBV. This feature offers flexibility and enables traders to choose an MA type they're most comfortable with or find the most effective.
2. Smoothing Option:
To reduce the inherent noise in the indicator, there's an option to apply smoothing. It uses a Simple Moving Average (SMA) to produce a clearer signal, making it easier for traders to interpret and respond to. If you don't want to use smoothing, just simply change the input length of smoothing to 1 in the settings.
3. Outlier Detection:
One of the standout features is the use of a rolling window to detect volume outliers. This ensures that the OBV only reacts to significant volume changes and isn't overly influenced by random spikes or drops. The volume filter is calculated based on a % of the highest OBV volume of X number of bars back. Users can adjust the time (# bars) and the sensitivity (%) of the volume filter. A longer timeperiode (# bars) and a higher % (sensitivity) in the settings result to less signals presented by the indicator.
4. Divergence Detection:
The script automatically highlights both regular and hidden divergences on the chart. Divergences can be a powerful signal of potential price reversals. This feature aids traders in spotting potential buy or sell opportunities based on divergences between price and OBV.
Regular Bullish Divergence: When the price makes lower lows, but the OBV makes higher lows.
Hidden Bullish Divergence: When the price makes higher lows, but the OBV makes lower lows.
Regular Bearish Divergence: When the price makes higher highs, but the OBV makes lower highs.
Hidden Bearish Divergence: When the price makes lower highs, but the OBV makes higher highs.
5. Alerts for Trend Reversals:
The script incorporates alerts that notify traders when the OBV indicates potential trend reversals. This feature can be instrumental in catching early entries or exits.
Disclaimer
It's crucial to understand that no single indicator should be used in isolation. To increase the probability of making accurate market predictions, always use the OBV Oscillator in conjunction with other indicators and tools. Remember that all trading involves risk, and it's possible to lose your invested capital. Always seek advice from a financial advisor before making any trading decisions. By enhancing the OBV with features like the volume filter, multiple MA types, smoothing, and divergence detection, this script becomes a potent tool in a trader's arsenal. Use it wisely, and always ensure to maintain proper risk management.
EMA X Oscillator
This indicator combines elements of the Exponential Moving Average (EMA) crossover and Rate of Change (ROC), generating a solid simple tool for technical analysis.
Overall, this script creates an oscillator by calculating the Rate of Change between two Exponential Moving Averages (Fast and Slow) based on the chosen smoothing methods and lengths. The oscillator helps identify potential trends. It offers customization options for the types of smoothing and other parameters, making it versatile for various strategies.
Realized Profit & Loss [BigBeluga]The Realized Loss & Profit indicator aims to find potential dips and tops in price by utilizing the security function syminfo.basecurrency + "_LOSSESADDRESSES".
The primary objective of this indicator is to present an average, favorable buying/selling opportunity based on the number of people currently in profit or loss.
The script takes into consideration the syminfo.basecurrency, so it should automatically adapt to the current coin.
🔶 USAGE
Users have the option to enable the display of either Loss or Profit, depending on their preferred visualization.
Examples of displaying Losses:
Example of displaying Profits:
🔶 CONCEPTS
The concept aims to assign a score to the data in the ticker representing the realized losses. This score will provide users with an average of buying/selling points that are better to the typical investor.
🔶 SETTINGS
Users have complete control over the script settings.
🔹 Calculation
• Profit: Display people in profit on an average of the selected length.
• Loss: Display people in loss on an average of the selected length.
🔹 Candle coloring
• True: Color the candle when data is above the threshold.
• False: Do not color the candle.
🔹 Levels
- Set the level of a specific threshold.
• Low: Low losses (green).
• Normal: Low normal (yellow).
• Medium: Low medium (orange).
• High: Low high (red).
🔹 Z-score Length: Length of the z-score moving window.
🔹 Threshold: Filter out non-significant values.
🔹 Histogram width: Width of the histogram.
🔹 Colors: Modify the colors of the displayed data.
🔶 LIMITATIONS
• Since the ticker from which we obtain data works only on the daily timeframe, we are
restricted to displaying data solely from the 1D timeframe.
• If the coin does not have any realized loss data, we can't use this script.
Simple Angle MesurmentThis Pine Script indicator allows you to accurately measure the angle of any given source line on a chart. The angle is calculated based on the slope of the line, providing insights into the direction and steepness of the line's movement. By utilizing mathematical calculations and trigonometric functions, the indicator helps traders and analysts assess trends and make informed decisions.
QQE Weighted Oscillator [LuxAlgo]The QQE (Quantitative Qualitative Estimation) Weighted Oscillator improves on its original version by weighting the RSI based on the indications given by the trailing stop, requiring more effort in order for a cross with the trailing stop to occur.
🔶 USAGE
The QQE Weighted Oscillator is comprised of a smoothed RSI oscillator and a trailing stop derived from this same RSI. The oscillator can be used to indicate whether the market is overbought/oversold as well as an early indication of trend reversals thanks to the leading nature of the RSI.
Using higher Factor values will return a longer-term trailing stop.
Like with a regular RSI divergence can be indicative of a reversal.
Further weighting will control how much "effort" is required for the trailing stop to cross the RSI. For example. For example, an RSI above the trailing stop will require a higher degree of negative price variations in order for a potential cross to occur when using higher weights.
This can cause higher weightings to return more cyclical and smoother results.
🔶 SETTINGS
Length: Length of the RSI oscillator.
Factor: Multiplicative factor used for the trailing stop calculation.
Smooth: Degree of smoothness of the RSI oscillator.
Weight: Degree of weighting used for the RSI calculation.
Machine Learning Momentum Index (MLMI) [Zeiierman]█ Overview
The Machine Learning Momentum Index (MLMI) represents the next step in oscillator trading. By blending traditional momentum analysis with machine learning, MLMI delivers a potent and dynamic tool that aligns with the complexities of modern financial landscapes. Offering traders an adaptive way to understand and act on market momentum and trends, this oscillator provides real-time insights into market momentum and prevailing trends.
█ How It Works:
Momentum Analysis: MLMI employs a dual-layer analysis, utilizing quick and slow weighted moving averages (WMA) of the Relative Strength Index (RSI) to gauge the market's momentum and direction.
Machine Learning Integration: Through the k-Nearest Neighbors (k-NN) algorithm, MLMI intelligently examines historical data to make more accurate momentum predictions, adapting to the intricate patterns of the market.
MLMI's precise calculation involves:
Weighted Moving Averages: Calculations of quick (5-period) and slow (20-period) WMAs of the RSI to track short-term and long-term momentum.
k-Nearest Neighbors Algorithm: Distances between current parameters and previous data are measured, and the nearest neighbors are used for predictive modeling.
Trend Analysis: Recognition of prevailing trends through the relationship between quick and slow-moving averages.
█ How to use
The Machine Learning Momentum Index (MLMI) can be utilized in much the same way as traditional trend and momentum oscillators, providing key insights into market direction and strength. What sets MLMI apart is its integration of artificial intelligence, allowing it to adapt dynamically to market changes and offer a more nuanced and responsive analysis.
Identifying Trend Direction and Strength: The MLMI serves as a tool to recognize market trends, signaling whether the momentum is upward or downward. It also provides insights into the intensity of the momentum, helping traders understand both the direction and strength of prevailing market trends.
Identifying Consolidation Areas: When the MLMI Prediction line and the WMA of the MLMI Prediction line become flat/oscillate around the mid-level, it's a strong sign that the market is in a consolidation phase. This insight from the MLMI allows traders to recognize periods of market indecision.
Recognizing Overbought or Oversold Conditions: By identifying levels where the market may be overbought or oversold, MLMI offers insights into potential price corrections or reversals.
█ Settings
Prediction Data (k)
This parameter controls the number of neighbors to consider while making a prediction using the k-Nearest Neighbors (k-NN) algorithm. By modifying the value of k, you can change how sensitive the prediction is to local fluctuations in the data.
A smaller value of k will make the prediction more sensitive to local variations and can lead to a more erratic prediction line.
A larger value of k will consider more neighbors, thus making the prediction more stable but potentially less responsive to sudden changes.
Trend length
This parameter controls the length of the trend used in computing the momentum. This length refers to the number of periods over which the momentum is calculated, affecting how quickly the indicator reacts to changes in the underlying price movements.
A shorter trend length (smaller momentumWindow) will make the indicator more responsive to short-term price changes, potentially generating more signals but at the risk of more false alarms.
A longer trend length (larger momentumWindow) will make the indicator smoother and less responsive to short-term noise, but it may lag in reacting to significant price changes.
Please note that the Machine Learning Momentum Index (MLMI) might not be effective on higher timeframes, such as daily or above. This limitation arises because there may not be enough data at these timeframes to provide accurate momentum and trend analysis. To overcome this challenge and make the most of what MLMI has to offer, it's recommended to use the indicator on lower timeframes.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Information Entropy OscillatorHello Traders
This Trading Indicator / script is my interpritation of the use of shannons entropy in Trading, hope you find this usefull !!!
Information Entropy Oscillator :
In Physics, entropy is a concept and a measurable physical property that is most commonly associated with the state of disorder, randomness or uncertainty of a system. In the Thermodynamic field Entropy also describes how much energy is not available to do work, The more disordered a system and higher the entropy, the less of a system's energy is available to do work. This last definition is central to the idea of this trading idea, Briefly this is because the lower the information Entropy the “more predictable” is price movement which is characterized by a two states process up(h), and down(d) - (green and red candles), thus the more predictable a up or down move, Given the definition this also means more “energy” which can be thought of as the systems “predictive power” is available to do work, where work in this case to predict the likelihood of a trend continuation.
In Information Theory, the entropy of a random variable (A statistical term that describes either a discrete or continuous event with a respective (discrete or continuous) probability, where the latter is expressed via a CDF - cumulative distribution function) is the average level of "information", "surprise", or "uncertainty" inherent to the variable's possible outcomes. note : this is the definition for Entropy that this script is built upon
Formual Derivation :
Interpretations of Information Entropy Values (Polar approach)
when , …
H(x) = 0 Max-Information gain (purity of knowledge available)
H(x) = 1 No INformation gain, When both states probabilities are equal, i.e. H = T = 0.5, the function yields maximum uncertainty and therefore maximum entropy. This reflects
When Information gain is nearing 0, thus low, the script attempts to predict the proceeding trend direction, for example when entropy is low and all bars preceding the real market / time bars have all been positive and the real time bar closes as a red candle (close < yesterday's open) the script takes this as a high information gain signal, “predicting” a Bearish trend.
The Script Also comes with a Information Entropy heat map to plot entropy (inspired by Oppenheimer and Barbie lol), to see this turn off all candle plots, plots in the Chart settings, under the symbol header .
Normalized Adaptive Trend Lines [MAMA and FAMA]These indicators was originally developed by John F. Ehlers (Stocks & Commodities V. 19:10: MESA Adaptive Moving Averages). Everget wrote the initial functions for these in pine script. I have simply normalized the indicators and chosen to use the Laplace transformation instead of the hilbert transformation
How the Indicator Works:
The indicator employs a series of complex calculations, but we'll break it down into key steps to understand its functionality:
LaplaceTransform: Calculates the Laplace distribution for the given src input. The Laplace distribution is a continuous probability distribution, also known as the double exponential distribution. I use this because of the assymetrical return profile
MESA Period: The indicator calculates a MESA period, which represents the dominant cycle length in the price data. This period is continuously adjusted to adapt to market changes.
InPhase and Quadrature Components: The InPhase and Quadrature components are derived from the Hilbert Transform output. These components represent different aspects of the price's cyclical behavior.
Homodyne Discriminator: The Homodyne Discriminator is a phase-sensitive technique used to determine the phase and amplitude of a signal. It helps in detecting trend changes.
Alpha Calculation: Alpha represents the adaptive factor that adjusts the sensitivity of the indicator. It is based on the MESA period and the phase of the InPhase component. Alpha helps in dynamically adjusting the indicator's responsiveness to changes in market conditions.
MAMA and FAMA Calculation: The MAMA and FAMA values are calculated using the adaptive factor (alpha) and the input price data. These values are essentially adaptive moving averages that aim to capture the current trend more effectively than traditional moving averages.
But Omar, why would anyone want to use this?
The MAMA and FAMA lines offer benefits:
The indicator offers a distinct advantage over conventional moving averages due to its adaptive nature, which allows it to adjust to changing market conditions. This adaptability ensures that investors can stay on the right side of the trend, as the indicator becomes more responsive during trending periods and less sensitive in choppy or sideways markets.
One of the key strengths of this indicator lies in its ability to identify trends effectively by combining the MESA and MAMA techniques. By doing so, it efficiently filters out market noise, making it highly valuable for trend-following strategies. Investors can rely on this feature to gain clearer insights into the prevailing trends and make well-informed trading decisions.
This indicator is primarily suppoest to be used on the big timeframes to see which trend is prevailing, however I am not against someone using it on a timeframe below the 1D, just be careful if you are using this for modern portfolio theory, this is not suppoest to be a mid-term component, but rather a long term component that works well with proper use of detrended fluctuation analysis.
Dont hesitate to ask me if you have any questions
Again, I want to give credit to Everget and ChartPrime!
VCC SmtmWorks better for Cryptos (1W and greater than) timeframes.
This strategy incorporates multiple indicators to make informed trading signals. It leverages the Stochastic indicator to assess price momentum, utilizes the Bollinger Band to identify potential oversold and overbought conditions, and closely monitors Moving Averages to gauge the trend's bullish or bearish nature.
A long signal will be displayed if the following conditions are met:
The Stochastic D and Stochastic K both indicate an oversold condition, with Stochastic K being lower than Stochastic D.
The current Price Low is below the Bollinger Lower Band.
The Price Close is currently below all Moving Averages.
A Death Cross pattern has formed among the Moving Averages.
A short signal will be displayed if the opposite of the long conditions are true:
The Stochastic D and Stochastic K both indicate an overbought condition, with Stochastic K being higher than Stochastic D.
The current Price High is above the Bollinger Upper Band.
The Price Close is currently above all Moving Averages.
A Golden Cross pattern has formed among the Moving Averages.
Expected Move from RSI [SS]Publishing this experimental indicator.
What it does:
The indicator uses a user-defined lookback period on a user-defined timeframe to lookback at all instances of RSI. It breaks RSI down as follows:
RSI between
0 - 10
10 - 20
20 - 30
30 - 40
40 - 50
50 - 60
60 - 70
70 - 80
80 - 90
90 - 100
From there, it stores the ticker's move from open to high and open to low. It will then use this data to look at the current RSI based on the specified timeframe and plot the expected move based on the average move the ticker does with a similar RSI reading.
It will plot the expected range, with the high range being plotted in green and the low range being plotted in red.
It will also display an infographic that dictates the current RSI based on the selected time frame, the anticipated up move and the anticipated down move. This infographic will also tell you the strength of the relationship (correlation) RSI has with the ticker's high or low price:
From there the user can determine whether this RSI reading is traditionally bullish or bearish for the ticker. A greater down move indicates that the RSI traditionally elicits a bearish response. A greater up move indicates the inverse.
The user can also view a chart of a breakdown of the anticipated moves based on RSI. If the option to "Show Expected Move Table" is select in the settings menu, the following table will appear:
From here you can see the average up move and down move a ticker does based on its corresponding RSI reading.
NOTE: When using the table, please adjust your chart timeframe to the selected timeframe on the indicator. Thus, if you are looking at the 1 hour levels, please adjust your chart to the 1 hour timeframe to use the chart.
Additional Note: When using the table, an "NaN" means that there are no instances of the ticker being at that RSI level within the designated timeframe period. You can extend your lookback period to up to 500 candles to see if it finds additional instances of similar RSI. Otherwise, you can adjust the selected timeframe.
Uses:
The indicator can be used on all timeframes. It can help give you an idea as to whether the RSI indicates a bearish or bullish sentiment.
It can signal a potential reversal or continuation. It can also help you with determining target prices for day trades and scalp trades.
And that is the indicator. Its pretty straight forward. It is experimental and new, so feel free to play around with it and let me know your thoughts.
Safe trades everyone and thank you for reading!
MACDh with divergences & impulse system-----------------------------------------------------------------
General Description:
This indicator ( the one on the low panel ) is a classic MACD that also shows regular divergences between its histogram and the prices. This script is special because it can be adjusted to fit several criteria when trading divergences filtering them according to the "height" and "width" of the patterns. The script also includes the "extra feature" Impulse System, which you will hardly find anywhere else in similar classic MACD histogram divergence indicators.
The indicator helps to find trend reversals, and it works on any market, any instrument, any timeframe, and any market condition (except against really strong trends that do not show any other sign of reversion yet).
Please take on consideration that divergences should be taken with caution.
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Definition of classic Bullish and Bearish divergences:
* Bearish divergences occur in uptrends identifying market tops. A classical or regular bearish divergence occurs when prices reach a new high and then pull back, with an oscillator (MACD histogram in this case) dropping below its zero line. Prices stabilize and rally to a higher high, but the oscillator reaches a lower peak than it did on a previous rally.
In the chart above (weekly charts of NKE, Nike, Inc.), in area X (around August 2021), NKE rallied to a new bull market high and MACD-Histogram rallied with it, rising above its previous peak and showing that bulls were extremely strong. In area Y, MACD-H fell below its centerline and at the same time prices punched below the zone between the two moving averages. In area Z, NKE rallied to a new bull market high, but the rally of MACD-H was feeble, reflecting the bulls’ weakness. Its downtick from peak Z completed a bearish divergence, giving a strong sell signal and auguring a nasty bear market.
* Bullish divergences , in the other hand, occur towards the ends of downtrends identifying market bottoms. A classical (also called regular) bullish divergence occurs when prices and an oscillator (MACD histogram in this case) both fall to a new low, rally, with the oscillator rising above its zero line, then both fall again. This time, prices drop to a lower low, but the oscillator traces a higher bottom than during its previous decline.
In the example in the chart above (weekly charts of NKE, Nike, Inc.), you see a bearish divergence that signaled the October 2022 bear market bottom, giving a strong buy signal right near the lows. In area A, NKE (weekly charts) appeared in a free fall. The record low A of MACD-H indicated that bears were extremely strong. In area B, MACD-H rallied above its centerline. Notice the brief rally of prices at that moment. In area C, NKE slid to a new bear market low, but MACD-H traced a much more shallow low. Its uptick completed a bullish divergence, giving a strong buy signal.
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Extra feature: Impulse System
This indicator also includes the “ Impulse System ”. The Impulse System is based on two indicators, a 13-day exponential moving average and the MACD-Histogram, and identifies inflection points where a trend speeds up or slows down. The moving average identifies the trend, while the MACD-Histogram measures momentum. This unique indicator combination is color coded into the price bars or macd histogram bars for easy reference.
Calculation:
Green Price Bar: (13-period EMA > previous 13-period EMA) and
(MACD-Histogram > previous period's MACD-Histogram)
Red Price Bar: (13-period EMA < previous 13-period EMA) and
(MACD-Histogram < previous period's MACD-Histogram)
Histogram bars are colored blue when conditions for a Red Histogram Bar or Green Histogram Bar are not met. The MACD-Histogram is based on MACD(12,26,9).
The Impulse System works more like a censorship system. Green histogram bars show that the bulls are in control of both trend and momentum as both the 13-day EMA and MACD-Histogram are rising (you don't have permission to sell). A red histogram bar indicates that the bears have taken control because the 13-day EMA and MACD Histogram are falling (you don't have permission to buy). A blue histogram bar indicates mixed technical signals, with neither buying nor selling pressure predominating (either both buying or selling are permitted).
The impulse system can be removed from the chart any time.
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Options/adjustments for this indicator:
*Horizontal Distance (width) between two tops/bottoms criteria.
Refers to the horizontal distance between the MACH histogram peaks involved in the divergence
*Height of tops/bottoms criteria (for Histogram).
Refers to the difference/relation/vertical distance between the MACH HISTOGRAM peaks involved in the divergence: 1st Histogram Peak is X times the 2nd.
*Height/Vertical deviation of tops/bottoms criteria (for Price).
Deviation refers to the difference/relation/vertical distance between the PRICE peaks involved in the divergence.
*Plot Regular Bullish Divergences?.
*Plot Regular Bearish Divergences?.
*Delete Previous Cancelled Divergences?.
*This indicator also has the option to show the Impulse System over the MACD histogram bars
RSI-all in one_Pro[vn]👉Hello traders.
Introducing the " RSI all-in-one " Bot that includes the functions:
+ Automatically scan RSI divergence
+ Automatically scan RSI trendlines
+ Create an alert when there is a golden signal (RSI creates a divergence and then breaks its trendline, signaling a trend reversal)
Explain:
During trading when using the indicator "RSI - trendlines - div " in my library on TW web page:
- I have an idea to create a Bot indicator about "Automatically scan RSI divergences and trendlines". Because those are the top strengths when traders use the RSI to forecast trend reversals.
- On each chart of the trading pair, the RSI draws the trendline pair as: uptrendline and downtrendline (closest to the RSI)
- So when the statistics on "Bot" also shows the column of RSI trendlines up and the column of RSI trendlines down
- Column |════🡹 \ʀꜱɪ| - is the above RSI trendline
- Column |ʀꜱɪ \════🡻| - is the below RSI trendline
- When RSI approaches any one of its trendlines and the ratio is 10%, then:
+ in column |✎ \𝖙.𝖑𝖎𝖓𝖊| Red colored digits (downtrend)
+ in column |𝖙.𝖑𝖎𝖓𝖊 \✐| blue colored digits (uptrend)
Is the value of the RSI trendline for traders to pay more attention to when it can be the entry and exit points according to the resistance and support nature of the RSI trendlines.
- When the RSI breaks the above trendline, it shows is "🡹", if it is the first candle, at the column |════🡹 \ʀꜱɪ| it shows as "🡹1|1|1" the cell turns green , that's the RSI signal breaking the line. Its resistance to go up, wait for the candle to close, we can enter "Buy/Long" order.
- When the RSI line breaks below the trendline, it shows is "🡻", if it is the first candle, then at the column |ʀꜱɪ \════🡻| it displays as "🡻1|1|1" the cell turns red , that's the RSI signal breaking the line Support to continue down, wait for the candle to close, we can enter "Sell/Short" order
- The parameter when breaking shows 10|10|10, it means that the RSI has broken 10 candles (RSI candles), and the first 10 candles are colored green (bullish) red (bearish) then hidden. (can be changed in settings). In addition, when displaying the parameters of the cell as above, the column |✎ \𝖙.𝖑𝖎𝖓𝖊| and |𝖙.𝖑𝖎𝖓𝖊 \✐| will show the percentage from when the RSI break point to the current RSI (closed)
- Column |𝚍𝚒𝚟| is a divergence signal. When the price makes a new high, a new low, and the RSI signals a divergence, it will start to increase the base from the number 1. From here, the Trader will know which trading pair is starting to divergence RSI. Cell is Green bullish divergence, Cell is red bearish divergence
- Column|🆁🆂🅸| is the current RSI .{🟢} RSI above the cloud , {🔴} RSI below the cloud , {⚪️} RSI in the cloud(RSI clouds also indicate very well the support and resistance zone of RSI)
- There are 5 warning functions on this indicator
- The parameter {20:2} is the length of the RSI trendline and combines the same parameters with the "RSI - trendlines - div{vn}" indicator when analyzing
💥 Summary:
Trading methods with this indicator:
+ Trade when there is a divergence
+ Trade when the RSI approaches its trendline (it is the support and resistance line of the RSI)
+ Trade when the RSI breaks the trendline (definitively above or below)
+ Trade when there is a divergence then after a few candles, RSI breaks through its trendline, giving a golden signal.
1 . image
Later(sau đó)
2 . image
Later(sau đó)
Note: The indicator can create up to 40 trading pairs, so traders should choose a super nice signal to enter orders.
-----------------------------------------------------Vietnamese-------------------------------------------------------
👉Xin chào các nhà giao dịch VietNam.
xin giới thiệu Bot "RSI-Tất cả trong một " bao gồm các chức năng:
+ Tự động quét phân kì RSI
+ Tự động quét đường xu hướng RSI
+ Tạo cảnh báo khi có tín hiệu vàng(RSI tạo phân kì và sau đó phá vỡ đường xu hướng của nó báo hiệu đảo chiều xu hướng)
Diễn giải:
- Trong quá trình giao dịch khi dùng chỉ báo "RSI - trendlines - div " trong thư viện của tôi trên trang TW . Tôi có ý tưởng tạo chỉ báo Bot về " Tự động quét phân kì và đường xu hướng của RSI ". Vì đó là những điểm mạnh hàng đầu khi nhà giao dịch sử dụng chỉ báo RSI để dự báo đảo chiều xu hướng.
- Trên mỗi biểu đồ của cặp giao dịch, chỉ báo RSI vẽ cặp trendline là: trendline tăng và trendline giảm (gần với RSI nhất)
- Vì vậy khi thống kê trên " Bot " cũng hiển thị cột của RSI trendlines tăng và cột của RSI trendlines giảm
- Cột |════🡹 \ʀꜱɪ| - là trendline RSI bên trên
- Cột |ʀꜱɪ \════🡻|- là trendline RSI bên dưới
- Khi RSI phá đường xu hướng bên trên thì nó hiển thị là "🡹", nếu là cây nến đầu tiên thì tại cột |════🡹 \ʀꜱɪ| nó hiển thị là "🡹1|1|1" ô đổi màu xanh , đó là tín hiệu RSI phá vỡ đường kháng cự của nó để đi lên , chờ nến đóng cửa ta có thể vào lệnh "Buy/Long"
- Khi đường RSI phá đường xu hướng bên dưới thì nó hiển thị là "🡻", nếu là cây nến đầu tiên thì tại cột |ʀꜱɪ \════🡻| nó hiển thị là "🡻1|1|1" ô đổi màu đỏ , đó là tín hiệu RSI phá vỡ đường hỗ trợ để xuống tiếp , chờ nến đóng cửa ta có thể vào lệnh "Sell/Short "
-Khi RSI tiến gần đến 1 đường trendline bất kì của nó mà tỉ lệ còn 10% thì:
+ tại cột |✎ \𝖙.𝖑𝖎𝖓𝖊| chữ số tô màu đỏ (trend giảm)
+ tại cột |𝖙.𝖑𝖎𝖓𝖊 \✐| chữ số tô màu xanh (trend tăng)
Là giá trị của đường trendline RSI để trader chú ý hơn khi đó có thể là điểm vào lệnh và thoát lệnh theo tính chất kháng cự hỗ trợ của RSI trendlines.
-Thông số khi phá vỡ hiển thị 10|10|10 thì hiểu là RSI đã phá vỡ 10 nến(nến RSI), và 10 nến đầu tiên được tô màu xanh(tăng giá) màu đỏ (giảm giá) sau đó được ẩn(có thể thay đổi trong cài đặt). Ngoài ra khi hiện thông số của ô như trên thì cột |✎ \𝖙.𝖑𝖎𝖓𝖊| và |𝖙.𝖑𝖎𝖓𝖊 \✐| sẽ hiển thị được số phần trăm tính từ khi điểm RSI phá vỡ đến RSI hiện tại(đóng cửa)
Cột |𝚍𝚒𝚟| là tín hiệu phân kì . Khi giá tạo đỉnh mới, đáy mới mà RSI báo tín hiệu là phân kì thì nó sẽ bắt đầu cơ số đếm từ số 1 tăng dần lên.Từ đây Trader sẽ biết được cặp giao dịch nào đang bắt đầu phân kì RSI. Ô màu xanh là phân kì tăng, ô màu đỏ là phân kì giảm
- Cột| 🆁🆂🅸 | là RSI hiện tại .{🟢} RSI trên mây , {🔴} RSI dưới mây , {⚪️} RSI trong mây(Mây của RSI cũng cho biết rất tốt vùng hỗ trợ, kháng cự của RSI)
- Có 5 chức năng cảnh báo trên chỉ báo này
- Thông số {20:2} là độ dài đường trendline RSI và kết hợp cùng thông số với chỉ báo "RSI - trendlines - div{vn}" khi phân tích
💥 Tổng kết:
Các phương pháp giao dịch với chỉ báo này:
+ Giao dịch khi có phân kì.
+ Giao dịch khi RSI tiếp cận đến đường xu hướng của nó(nó là đường hỗ trợ, kháng cự của RSI).
+ Giao dịch khi RSI phá vỡ đường xu hướng(trên hoặc dưới cách dứt khoát).
+ Giao dịch khi có phân kì sau đó qua vài nến, RSI phá vỡ qua đường xu hướng của nó báo hiệu tín hiệu vàng.
Lưu ý : Chỉ báo tạo được tối đa 40 cặp giao dịch, nên AE trader Việt cứ chọn tín hiệu siêu đẹp để vào lệnh nhé.
DUAL RSI MOHIT SHARMAWe are seeking a highly skilled and motivated DUAL RSI Analyst to join our dynamic team. As a DUAL RSI Analyst, you will be responsible for implementing and optimizing Relative Strength Index (RSI) strategies on a dual timeframe basis, combining both short-term and long-term perspectives to identify potential market trends and signals accurately. Your expertise in technical analysis, data analysis, and programming will be instrumental in generating actionable insights and driving profitable trading decisions. This position offers an exciting opportunity to work in the fast-paced world of financial markets and contribute to the success of our trading operations.
Responsibilities:
Strategy Development: Develop and implement innovative DUAL RSI trading strategies using historical data and backtesting methodologies to ensure robustness and profitability.
Market Analysis: Conduct in-depth analysis of financial markets, interpreting price patterns, momentum, and other technical indicators to identify potential trading opportunities.
Dual Timeframe Approach: Analyze markets using both short-term and long-term RSI indicators, integrating signals to generate comprehensive trading strategies.
Data Analysis: Collect, clean, and process market data from various sources, ensuring accuracy and completeness for thorough analysis.
Performance Monitoring: Continuously monitor and evaluate the performance of DUAL RSI strategies, making necessary adjustments to enhance their effectiveness.
Risk Management: Implement risk management protocols to control exposure and minimize potential losses in volatile market conditions.
Collaborative Approach: Work closely with the trading team, sharing insights and collaborating on the implementation of trading strategies.
Automation: Utilize programming languages (e.g., Python, R) to automate data analysis, strategy testing, and trade execution processes.
Stay Informed: Stay up-to-date with the latest developments in financial markets, trading technologies, and technical analysis tools.
Documentation: Maintain detailed documentation of trading strategies, backtesting results, and research findings.
Compliance: Ensure adherence to all relevant regulatory requirements and company policies.
Qualifications:
Education: Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a related field.
Experience: Proven experience in developing and implementing successful trading strategies using RSI indicators or similar technical analysis tools.
Analytical Skills: Strong analytical skills with the ability to process complex data sets and draw meaningful conclusions.
Programming Proficiency: Proficiency in programming languages such as Python, R, or MATLAB for data analysis and automation.
Financial Markets Knowledge: In-depth understanding of financial markets, trading principles, and risk management strategies.
Adaptability: Ability to adapt to changing market conditions and refine strategies accordingly.
Problem-Solving: A creative problem solver with a keen eye for detail.
Team Player: Strong team player with excellent communication and interpersonal skills.
Results-Driven: A self-motivated individual with a focus on achieving results.
Time Management: Effective time management skills to handle multiple tasks and meet deadlines.
Join our team and take your DUAL RSI expertise to new heights while contributing to our company's growth and success in the financial markets.
YujiYokooFXYujiYokooFX Oscillator
Class : oscillator
Purpose : reversal trading
Period : any
Idea of the Indicator
Technical analysis often uses indicators to predict price behaviour, with trend indicators being based on price trends and oscillators on price reversals. Two of the most popular oscillators are known as “Momentum” and “Relative Strength Index” (“RSI”) respectively. Have you ever seen their formulas? Take your time and you will see none of them can provide any useful information about future prices. Both of them are simply random algorithms which can only generate random results.
Still academicians have developed a lot of really working methods: different types of time series models (AR – autoregressive models, ARMA - autoregressive–moving-average, ARIMA - autoregressive integrated moving average, VAR - vector autoregression, etc.) can be estimated to predict future prices
“YujiYokooFX Oscillator” is an academic style indicator based on ARIMA model.
It uses autoregressive integrated moving average technics to calculate the theoretical price of the asset and compare it with the actual price. This price difference is used to define whether current prices are overbought or oversold.
Structure of the Indicator
Indicator consists of two oscillatory lines: main (blue colored) and signal (red colored). Overbought and oversold zones are indicated with black dotted horizontal lines.
Rules of trading
Rules of trading are typical for oscillators.
• When the oscillatory line enters the overbought zone – long positions should be closed and after line leaves the overbought zone short position should be opened.
• When the oscillatory line enters the oversold zone – short positions should be closed and after line leaves the oversold zone long position should be opened.
Signal line is used to reduce the level of noise in the oscillatory line dynamics.
In order to ease the trading purposes “YujiYokooFX Oscillator” displays BUY/SELL signals right on the indicator chart.
Access to the indicator
Please address all questions about this indicator (including access to it) in private messages.
Crude Oil Top and Bottoms -by Trevor GeallDiscover the Crude Oil Tops and Bottoms Predictor Indicator: Your Key to Market Precision!
How to Use:
Ideal for the daily chart. Wait for the colored background to form.
Confirm signals by waiting for the first candle to close after the background disappears. That would be your sign to go long (if the line is crossing up) or short (if line is crossing dow).
Combine with other indicators for enhanced insights.
Unveil Market Secrets:
Identifies potential tops and bottoms in crude oil.
Empowers strategic trading decisions.
Advanced divergence detection and price channel analysis.
Note: While powerful, no indicator guarantees perfect predictions. Use it alongside comprehensive analysis and risk management. Elevate your crude oil trading now!
PS If I get enough positive feedback on my indicators ill release some of the better ones.
Stablecoin Market Cap RiskThe Stablecoins Market Cap Risk indicator serves as a valuable risk oscillator for Bitcoin on a macro scale . This metric is derived by aggregating the market capitalization of CRYPTOCAP:USDT (Tether) and CRYPTOCAP:USDC (USD Coin), subsequently dividing this combined value by CRYPTOCAP:TOTAL (total market capitalization). The resulting figure is further normalized through linear regression.
The regression in question:
drive.google.com
However, it is essential to acknowledge that this model's reliability may diminish over time, as it is based solely on data from the most recent 4.5 years of cryptocurrency market trends. Consequently, adaptations and enhancements to the model are anticipated in the future to ensure its continued relevance and accuracy.
Qualitative Smoothed Strength Index***RSI CHART BELOW IS FOR COMPARSION TO SHOW HOE THEY MAKE SIMILIAR PATTERNS*** IT IS NOT PART OF THE INDICATOR***
The Qualitative Smoothed Strength Index (QSSI) is a simplified momentum oscillator whose values will oscillate between 0 and 1 . By converting price differences into binary values and smoothing them with a moving average, it identifies qualitative strength of price movements. This simplification allows traders to easily interpret trends and reversals. The QSSI offers advantages such as noise reduction, clear trend identification, and early signal detection, resulting in less lag compared to traditional oscillators. Traders can customize the indicator based on their preferences and use it across various markets.
QSSI Indicator uses the input function is used to define the input parameters of the indicator. In this case, there are two inputs:
length: The number of periods used for calculating the differences (a, b, c) and their assigned values. Default value is 5.
MAL: The length of the moving average used for smoothing the assigned values. Default value is 14.
The next few lines calculate 'a', 'b', and 'c', which represent the differences between the high, low, and close prices, respectively, and their corresponding previous simple moving averages (SMAs) of specified length. These differences are used to identify price movements.
The code assigns binary values (0 or 1) to a_assigned, b_assigned, and c_assigned, depending on whether the corresponding differences (a, b, c) are greater than 0. This step converts the differences into a binary representation, indicating upward or downward price movements.
Average_assigned calculates the average of the assigned binary values of a, b, and c. This average value represents the overall strength of the price movement.ma_assigned calculates the 14-day moving average of average_assigned, which smoothens the indicator and helps traders identify trends more easily.
The code plots the 14-day moving average (ma_assigned) on the chart as a blue line. It also plots the individual assigned values of a, b, and c as dots on the chart. a_assigned is shown in green, b_assigned in red, and c_assigned in black. These dots indicate the presence of upward or downward movements in the respective price components. By visualizing these dots on the chart, the trader can quickly identify the presence and direction of price movements for each of the price components. This information can be valuable for understanding how the different price elements (high, low, and close) are contributing to the overall trend and strength of the market. Traders can use this data to make more informed decisions, such as confirming the presence of trends, identifying potential reversals, or gauging the overall market sentiment based on the distribution of upward and downward movements across the price components.
Finally, the code draws horizontal dotted lines at levels 0.70 (0.8)and 0.30 (0.2). These levels are typically used to identify overbought (above 0.70 or 0.8) and oversold (below 0.30 or 0.2) conditions in the market.
The Qualitative Smoothed Strength Index (QSSI) provides traders with information about the strength and direction of price movements. By using assigned binary values, the indicator simplifies the interpretation of price data, making it easier to identify trends and potential reversals.
Trend Correlation Oscillator [SS]Hello,
Publishing this simple indicator.
What is it?
The Trend Correlation Oscillator takes the concept of my autocorrelation oscillator but applies it simply to time instead of autocorrelation.
It performs a correlation assessment to time. The theory behind it is the stronger the correlation, the more "exhausted" the trend and the more likely the trend will reverse. It is kind of building off of random walk theory in which the market should be random and efficient.
Does it work?
If you follow me on my indicator side, you will know that my indicators are all based on my own research and findings and stuff that I personally find that works. All of this comes from years of losing money trying to use conventional systems and finally developing my own stuff that I find works well. This is such an invention. It does work extremely well but its best applied for day traders. If you want to use this as a swing trader, play around with the lookback length. I don't have general recommendations to swing traders wanting to use this because this isn't an indicator I personally would use for swing trading (I would use the autocorrelation oscillator for that).
How to use it:
The default setting is to a 14 candle lookback. This works the best. It also should really be used on the 5 minute chart and not the 1 minute chart, as from my experience this works much better.
When a trend is approaching "exhaustion" to the upside, the indicator will turn red to let you know we are approaching a trend exhaustion. Once the exhaustion is at its peak and beginning to reverse, the indicator will place a cross symbol on where your entry should be. See the image below for an example:
It also works well if you combine it with my PTCR Correlation Indicator:
Closing thoughts
That is basically the indicator. Its one of my more simple ones, but many times simple is better and most effective!
Hopefully you find it helpful.
As always let me know your questions, comments and feedback/recommendations for improvements below.
Please know I do read and make note of all recommendations for indicators and improvements, however as it is just me managing them, it takes time for implementation and review :-).
Safe trades!
