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).
震盪指標
TaLib RSI (ta-lib uses SMA)If you've ever been confused because Ta-Lib RSI differs from TradingView's RSI...
Look no further than here which instead of using the Rolling Moving Average, will instead use the Simple Moving Average
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.
Market Internal RSIMarket Internal RSI
"MIRSI" is an indicator that tracks the NYSE market internals for price, volume, trend and delta and presents RSI like measurement from a custom weighted formula.
Great care has been taken to present the measured result with the scale of importance for each market internal, given that some internals impart variable affect to market securities.
What makes this different?
This tool will allow the analyst to compare the entire NYSE market momentum to any symbol, check for divergences and squeezes or exhaustion periods where opportunities may be best for directional traders.
How to use
Using MIRSI is similar to standard RSI usage, this format was chosen given the high degree of familiarity within the markets. Measurements of 70 or greater can be used to identify periods of buying strength or buyer exhaustion, 30 or under can be used to identify periods of seller strength or seller exhaustion.
The location (highs/lows) of the symbol charted can assist in determining the impact of the market, if its determined a symbol is a highs and the NYSE is showing 70 or greater can equate to higher pullback chance.
Divergence squeezes between the security RSI and MIRSI can present optimal directional opportunities. The lower histogram presents a divergence measurement and a trend-line provides broader context, the squeezes occur when the divergence is almost non-existent.
Markets
As with the other market internal indicators published, this one can apply to any security that is impacted by the NYSE price, volume, trend and delta.
Usage Conditions
It's highly recommended to use this on 15 minute or lower, beyond that and the resolution of minuscule movements this indicator relies on within the market internals become muted. The same applies with micro timeframes within the seconds or 1m, sometimes too much data is detrimental.
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.
Enhanced Smoothed RSIThe "Enhanced Smoothed RSI Factor" indicator is a robust technical analysis tool designed to assist traders in identifying potential trends and reversals. This indicator combines elements of the Relative Strength Index (RSI) with a smoothed factor, enhancing its reliability and responsiveness. By visualizing the Enhanced Smoothed RSI Factor alongside the standard RSI and their associated upper and lower bands, traders gain insights into potential overbought and oversold conditions, facilitating more informed trading decisions.
How to Use:
Inputs Configuration : Adjust the indicator's parameters according to your trading preferences. Modify the source data (source) to suit the price data you want to analyze. Set the RSI period (rsiPeriod) for RSI calculations, the moving average period (movingAvgPeriod) for the bands, and the smoothing factor (factor) for enhanced responsiveness.
Enhanced Smoothed RSI Factor : The indicator calculates the Enhanced Smoothed RSI Factor by applying an exponential moving average (EMA) to the RSI values. This factor reflects changes in price momentum.
Comparison with Standard RSI : Observe the Enhanced Smoothed RSI Factor and the standard RSI side by side on your chart. While the standard RSI offers insights into price momentum, the Enhanced Smoothed RSI Factor adds an extra layer of smoothing for potentially clearer trend indications.
Bands and Bar Coloring : The indicator plots upper and lower bands, which are derived from weighted and simple moving averages of the Enhanced Smoothed RSI Factor. The color of the bars changes based on the position of the Enhanced Smoothed RSI Factor relative to the bands. Green bars indicate values above the upper band, red bars indicate values below the lower band, and gray bars indicate values within the bands.
Overbought and Oversold Levels : The indicator provides horizontal lines at levels 140 and 80. When the Enhanced Smoothed RSI Factor crosses above 140, it suggests a potential bullish trend, while crossing below 80 suggests a potential bearish trend. Additionally, levels 200 and 180 indicate overbought conditions, and levels 100 and 80 indicate oversold conditions.
Additional Insights : The indicator's upper and lower bands provide valuable insights into potential trend reversals. When the Enhanced Smoothed RSI Factor crosses above the upper band, it may signal an overextended bullish trend. Conversely, a crossover below the lower band may indicate an overextended bearish trend.
Important Considerations :
This indicator is most effective when used in conjunction with other technical analysis tools and strategies.
It's recommended to avoid making trading decisions solely based on the Enhanced Smoothed RSI Factor. Combine it with other indicators, chart patterns, and fundamental analysis.
Adjust the overbought and oversold levels to align with your trading strategy and the specific market conditions.
Please remember that trading involves risks, and the indicator's signals are not guaranteed. Always conduct thorough research and consider using a practice account before implementing any trading strategy.
Relative Strength Volume ComparisonThe Relative Strength Volume Comparison is a powerful tool that can help traders identify the current trend based on volume pressure and potential reversals.
This oscillator is made of two lines and the overbought and oversold levels. Each of these two lines is a relative-strength formula that contains both the famous RSI and CCI formulas, smoothed by a Hull moving average.
The two lines are different for input. The colored line is based just on price and changes color based on the relation with the other line. The second line uses as input an average of three different popular volume indicators: The OBV, the Accumulation/Distribution, and the PVT.
Thanks to this tool, which uses 6 different formulas combined, traders can:
- Identify the current trend direction, based on the color of the area fill and the first colored line
- Identify potential reversal areas thanks to the overbought and oversold levels, customizable in the input section alongside the length and smoothing parameters.
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.
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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!
Directional Movement Index FLEXA common problem experienced by short term traders using DMI/ADX is that the session breaks results in carry-over effects from the prior session. For example, a large gap up would result in a positive DMI, even though momentum is clearly negative. Note the extremely different results in the morning session, when the gap is reversed.
The DMI-FLEX algoritm resets the +DI and -DI values to the prior session ending midpoint, so that new momentum can be observed from the indicator. (Note for Pinescript coders: rma function does not accept series int, thus the explicit pine_rma function)
DMI-FLEX has the added feature that the ADX value, instead of a separate line, is shown as shading between the +DI and -DI lines, and the color itself is determined by whether +DI is above -DI for a bullish color, or -DI is above +DI for a bearish color.
DMI Flex also gives you the flexibility of inverse colors, in case your chart has inverted scale.
Summary and How to use:
1) Green when +DI is above -DI
2) Red when -DI is above +DI
3) Deeper shading represents a higher ADX value.
Multi-Timeframe Trend Detector [Alifer]Here is an easy-to-use and customizable multi-timeframe visual trend indicator.
The indicator combines Exponential Moving Averages (EMA), Moving Average Convergence Divergence (MACD), and Relative Strength Index (RSI) to determine the trend direction on various timeframes: 15 minutes (15M), 30 minutes (30M), 1 hour (1H), 4 hours (4H), 1 day (1D), and 1 week (1W).
EMA Trend : The script calculates two EMAs for each timeframe: a fast EMA and a slow EMA. If the fast EMA is greater than the slow EMA, the trend is considered Bullish; if the fast EMA is less than the slow EMA, the trend is considered Bearish.
MACD Trend : The script calculates the MACD line and the signal line for each timeframe. If the MACD line is above the signal line, the trend is considered Bullish; if the MACD line is below the signal line, the trend is considered Bearish.
RSI Trend : The script calculates the RSI for each timeframe. If the RSI value is above a specified Bullish level, the trend is considered Bullish; if the RSI value is below a specified Bearish level, the trend is considered Bearish. If the RSI value is between the Bullish and Bearish levels, the trend is Neutral, and no arrow is displayed.
Dashboard Display :
The indicator prints arrows on the dashboard to represent Bullish (▲ Green) or Bearish (▼ Red) trends for each timeframe.
You can easily adapt the Dashboard colors (Inputs > Theme) for visibility depending on whether you're using a Light or Dark theme for TradingView.
Usage :
You can adjust the indicator's settings such as theme (Dark or Light), EMA periods, MACD parameters, RSI period, and Bullish/Bearish levels to adapt it to your specific trading strategies and preferences.
Disclaimer :
This indicator is designed to quickly help you identify the trend direction on multiple timeframes and potentially make more informed trading decisions.
You should consider it as an extra tool to complement your strategy, but you should not solely rely on it for making trading decisions.
Always perform your own analysis and risk management before executing trades.
The indicator will only show a Dashboard. The EMAs, RSI and MACD you see on the chart image have been added just to demonstrate how the script works.
DETAILED SCRIPT EXPLANATION
INPUTS:
theme : Allows selecting the color theme (options: "Dark" or "Light").
emaFastPeriod : The period for the fast EMA.
emaSlowPeriod : The period for the slow EMA.
macdFastLength : The fast length for MACD calculation.
macdSlowLength : The slow length for MACD calculation.
macdSignalLength : The signal length for MACD calculation.
rsiPeriod : The period for RSI calculation.
rsiBullishLevel : The level used to determine Bullish RSI condition, when RSI is above this value. It should always be higher than rsiBearishLevel.
rsiBearishLevel : The level used to determine Bearish RSI condition, when RSI is below this value. It should always be lower than rsiBullishLevel.
CALCULATIONS:
The script calculates EMAs on multiple timeframes (15-minute, 30-minute, 1-hour, 4-hour, daily, and weekly) using the request.security() function.
Similarly, the script calculates MACD values ( macdLine , signalLine ) on the same multiple timeframes using the request.security() function along with the ta.macd() function.
RSI values are also calculated for each timeframe using the request.security() function along with the ta.rsi() function.
The script then determines the EMA trends for each timeframe by comparing the fast and slow EMAs using simple boolean expressions.
Similarly, it determines the MACD trends for each timeframe by comparing the MACD line with the signal line.
Lastly, it determines the RSI trends for each timeframe by comparing the RSI values with the Bullish and Bearish RSI levels.
PLOTTING AND DASHBOARD:
Color codes are defined based on the EMA, MACD, and RSI trends for each timeframe. Green for Bullish, Red for Bearish.
A dashboard is created using the table.new() function, displaying the trend information for each timeframe with arrows representing Bullish or Bearish conditions.
The dashboard will appear in the top-right corner of the chart, showing the Bullish and Bearish trends for each timeframe (15M, 30M, 1H, 4H, 1D, and 1W) based on EMA, MACD, and RSI analysis. Green arrows represent Bullish trends, red arrows represent Bearish trends, and no arrows indicate Neutral conditions.
INFO ON USED INDICATORS:
1 — EXPONENTIAL MOVING AVERAGE (EMA)
The Exponential Moving Average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points.
The EMA is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The EMA can be used by traders to produce buy and sell signals based on crossovers and divergences from the historical average. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.
The formula for calculating EMA is as follows:
Compute the Simple Moving Average (SMA).
Calculate the multiplier for weighting the EMA.
Calculate the current EMA using the following formula:
EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier)
2 — MOVING AVERAGE CONVERGENCE DIVERGENCE (MACD)
The Moving Average Convergence Divergence (MACD) is a popular trend-following momentum indicator used in technical analysis. It helps traders identify changes in the strength, direction, momentum, and duration of a trend in a financial instrument's price.
The MACD is calculated by subtracting a longer-term Exponential Moving Average (EMA) from a shorter-term EMA. The most commonly used time periods for the MACD are 26 periods for the longer EMA and 12 periods for the shorter EMA. The difference between the two EMAs creates the main MACD line.
Additionally, a Signal Line (usually a 9-period EMA) is computed, representing a smoothed version of the MACD line. Traders watch for crossovers between the MACD line and the Signal Line, which can generate buy and sell signals. When the MACD line crosses above the Signal Line, it generates a bullish signal, indicating a potential uptrend. Conversely, when the MACD line crosses below the Signal Line, it generates a bearish signal, indicating a potential downtrend.
In addition to the MACD line and Signal Line crossovers, traders often look for divergences between the MACD and the price chart. Divergence occurs when the MACD is moving in the opposite direction of the price, which can suggest a potential trend reversal.
3 — RELATIVE STRENGHT INDEX (RSI):
The Relative Strength Index (RSI) is another popular momentum oscillator used by traders to assess the overbought or oversold conditions of a financial instrument. The RSI ranges from 0 to 100 and measures the speed and change of price movements.
The RSI is calculated based on the average gain and average loss over a specified period, commonly 14 periods. The formula involves several steps:
Calculate the average gain over the specified period.
Calculate the average loss over the specified period.
Calculate the relative strength (RS) by dividing the average gain by the average loss.
Calculate the RSI using the following formula: RSI = 100 - (100 / (1 + RS))
The RSI oscillates between 0 and 100, where readings above 70 are considered overbought, suggesting that the price may have risen too far and could be due for a correction. Readings below 30 are considered oversold, suggesting that the price may have dropped too much and could be due for a rebound.
Traders often use the RSI to identify potential trend reversals. For example, when the RSI crosses above 30 from below, it may indicate the start of an uptrend, and when it crosses below 70 from above, it may indicate the start of a downtrend. Additionally, traders may look for bullish or bearish divergences between the RSI and the price chart, similar to the MACD analysis, to spot potential trend changes.
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.
MEO Reversal and AlertHello; This indicator offers a suite of diverse analytical features. These features are typically triggered in unusual overbought and oversold conditions and are primarily used to identify excessive buying or selling and for general monitoring in suspicious cases.
Below is a general overview of the various features of this indicator:
RSI Overbought and Oversold Zones: This feature determines whether the RSI is in the overbought or oversold zones.
RSI Peak and Trough Points: Identifies the peak and trough points of the RSI.
Stoch RSI Peak and Trough Points: Identifies the peak and trough points of the Stoch RSI.
MACD Peak and Trough Points: Identifies the peak and trough points of the MACD.
MACD Overflow Points: Detects the overflow points of the MACD.
WaveTrend Reversal Points: Identifies the reversal points of the WaveTrend.
Money Flow Index (MFI) Potential Reversals: Determines the potential reversal points of the MFI.
Z-Score Outliers: Identifies the deviation points of the Z-Score.
Momentum Reversal Points: Identifies the reversal points of Momentum.
SR Support Resistance Breakouts: Determines the breakout points of support and resistance.
Rate of Change (ROC) Rapid Price Change Points: Identifies the rapid price change points of the ROC.
You can set alert conditions for each feature.
The inspiration for this indicator came from the idea of making a few indicators easier and faster to use together. Instead of tracking three basic indicators as shown in the image, I thought it might be more straightforward to follow the Reversal indicator. I imagined this could generally be a handy tip-off indicator and wanted to share it with you. Please write if you have any questions or if there's something you'd like to ask.
However, remember that this should not be considered as investment advice and should not be used for direct buying or selling operations. Each trade is under the individual user's responsibility.
For frequently asked questions, you can check the TradingView support page here: tr.tradingview.com
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
Extreme Reversal SignalThe Extreme Reversal Signal is designed to signal potential pivot points when the price of an asset becomes extremely overbought or oversold. Extreme conditions typically signal a brief or extensive price reversal, offering valuable entry or exit points. It's important to note that this indicator may produce multiple signals, making it essential to corroborate these signals with other forms of analysis to determine their validity. While the default settings provide valuable insights, it might be beneficial to experiment with different configurations to ensure the indicator's efficacy.
Two primary conditions define extremely overbought and oversold states. The first condition is that the price must deviate by two standard deviations from the 20-day Simple Moving Average (SMA). The second condition is that the 3-day SMA of the 14-day Stochastic Oscillator (STO) derived from the 14-day Relative Strength Index (RSI) is above or below the upper or lower limit.
Oversold states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI falls below the lower limit, suggesting a buy signal. These are visually represented by green triangles below the price bars. Overbought states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI rises above the upper limit, suggesting a sell signal. These are visually represented by red triangles above the price bars. It's also possible to set up automated alerts to get notifications when either of these two conditions is met to avoid missing out.
While this indicator has traditionally identified overbought and oversold conditions in various different assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, trend indicators can greatly improve the decision-making process when planning for entries and exit points.
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.
