Overbought / Oversold Screener## Introduction
**The Versatile RSI and Stochastic Multi-Symbol Screener**
**Unlock a wealth of trading opportunities with this customizable screener, designed to pinpoint potential overbought and oversold conditions across 17 symbols, with alert support!**
## Description
This screener is suitable for tracking multiple instruments continuously.
With the screener, you can see the instant RSI or Stochastic values of the instruments you are tracking, and easily catch the moments when they are overbought / oversold according to your settings.
The purpose of the screener is to facilitate the continuous tracking of multiple instruments. The user can track up to 17 different instruments in different time intervals. If they wish, they can set an alarm and learn overbought oversold according to the values they set for the time interval of the instruments they are tracking.**
Key Features:
Comprehensive Analysis:
Monitors RSI and Stochastic values for 17 symbols simultaneously.
Automatically includes the current chart's symbol for seamless integration.
Supports multiple timeframes to uncover trends across different time horizons.
Personalized Insights:
Adjust overbought and oversold thresholds to align with your trading strategy.
Sort results by symbol, RSI, or Stochastic values to prioritize your analysis.
Choose between Automatic, Dark, or Light mode for optimal viewing comfort.
Dynamic Visual Cues:
Instantly highlights oversold and overbought symbols based on threshold levels.
Timely Alerts:
Stay informed of potential trading opportunities with alerts for multiple oversold or overbought symbols.
## Settings
### Display
**Timeframe**
The screener displays the values according to the selected timeframe. The default timeframe is "Chart". For example, if the timeframe is set to "15m" here, the screener will show the RSI and stochastic values for the 15-minute chart.
** Theme **
This setting is for changing the theme of the screener. You can set the theme to "Automatic", "Dark", or "Light", with "Automatic" being the default value. When the "Automatic" theme is selected, the screener appearance will also be automatically updated when you enable or disable dark mode from the TradingView settings.
** Position **
This option is for setting the position of the table on the chart. The default setting is "middle right". The available options are (top, middle, bottom)-(left, center, right).
** Sort By **
This option is for changing the sorting order of the table. The default setting is "RSI Descending". The available options are (Symbol, RSI, Stoch)-(Ascending, Descending).
It is important to note that the overbought and oversold coloring of the symbols may also change when the sorting order is changed. If RSI is selected as the sorting order, the symbols will be colored according to the overbought and oversold threshold values specified for RSI. Similarly, if Stoch is selected as the sorting order, the symbols will be colored according to the overbought and oversold threshold values specified for Stoch.
From this perspective, you can also think of the sorting order as a change in the main indicator.
### RSI / Stochastic
This area is for selecting the parameters of the RSI and stochastic indicators. You can adjust the values for "length", "overbought", and "oversold" for both indicators according to your needs. The screener will perform all RSI and stochastic calculations according to these settings. All coloring in the table will also be according to the overbought and oversold values in these settings.
### Symbols
The symbols to be tracked in the table are selected from here. Up to 16 symbols can be selected from here. Since the symbol in the chart is automatically added to the table, there will always be at least 1 symbol in the table. Note that the symbol in the chart is shown in the table with "(C)". For example, if SPX is open in the chart, it is shown as SPX(C) in the table.
## Alerts
The screener is capable of notifying you with an alarm if multiple symbols are overbought or oversold according to the values you specify along with the desired timeframe. This way, you can instantly learn if multiple symbols are overbought or oversold with one alarm, saving you time.
在腳本中搜尋"rsi"
Instant RSI (IRSI)
Instant RSI is tailored for users seeking an effective RSI indicator for charts with limited historical data, such as new symbols or very high time frame charts. Its distinctiveness lies in employing a Chebyshev filter, an innovative approach that allows the RSI to initiate calculations with just two data points. The Chebyshev filter, traditionally used in signal processing, helps in smoothing data while minimizing lag, a critical aspect in fast-moving financial markets.
Key Features:
Chebyshev Filter Integration: The Chebyshev filter is fine-tuned to mimic a 14-period RMA's behavior, enhancing the RSI's responsiveness and accuracy with minimal data.
Customizable RSI and MA Settings: Users can modify the RSI's source, length, ripple effect, and style. An optional moving average overlay, also based on Chebyshev filtering, tuned to mimic an EMA set to 14.
Divergence Detection: I have also included the ability to adjust the divergence settings to allow for more flexibility over the built in RSI.
The script operates by applying the Chebyshev filter to the price movement's up and down components, forming the basis of the RSI calculation. When the moving average feature is activated, it further processes the RSI value through the Chebyshev filter for additional smoothing. This dual application of the Chebyshev filter is central to the script's design, offering a unique solution for situations where traditional RSI calculations might be less reliable due to data scarcity.
The divergence detection feature enhances the script's utility by signaling potential trend reversals, critical for strategic decision-making in trading. These features are visually represented on the chart, ensuring that users can easily interpret and react to the indicators.
In general this indicator should produce the exact same output as the built in RSI. This indicator is specifically designed to be used in conditions where the built in RSI will not work due to limited data.
In summary, the "Instant RSI" script is a practical option for those dealing with limited data scenarios, offering a unique blend of Chebyshev filter application for more responsive market analysis.
Major Currency RSI Indicator (MCRSI)Experience the power of multi-dimensional analysis with our Multi-Currency RSI Indicator (MCRSI). This innovative tool allows traders to simultaneously track and compare the Relative Strength Index (RSI) of eight different currencies in a single chart.
The MCRSI calculates the RSI for USD (DXY), EUR (EXY), JPY (JXY), CAD (CXY), AUD (AXY), NZD (ZXY), GBP (BXY), and CHF (SXY), covering a broad range of the forex market. Each RSI line is color-coded for easy differentiation and equipped with labels at the last bar for a clutter-free view.
Our indicator is designed with user-friendly customization features. You can easily adjust the length of the RSI and the time frame according to your trading strategy. It also handles gaps in the chart data with the barmerge.gaps_on option, ensuring accurate and consistent RSI calculations.
Whether you are a novice trader seeking to understand market dynamics better or an experienced trader wanting to diversify your technical analysis, the MCRSI offers a unique perspective of the forex market. This multi-currency approach can help identify potential trading opportunities that could be missed when analyzing currencies in isolation.
Harness the power of multi-currency RSI analysis with our MCRSI Indicator. It's time to step up your trading game!
Features:
Tracks 8 different currencies simultaneously
Color-coded RSI lines for easy identification
Customizable RSI length and time frame
Handles gaps in chart data
Last bar labels for a clutter-free view
Ideal for forex traders of all experience levels
How to Use:
Add the MCRSI to your TradingView chart.
Adjust the RSI length and time frame as needed.
Monitor the RSI lines and their intersections for potential trading signals.
Happy trading!
Kashif_MFI+RSI+BBMerging Money Flow Index (MFI), Relative Strength Index (RSI), and Bollinger Bands in TradingView can offer traders a comprehensive view of market conditions, providing insights into potential price reversals, overbought or oversold conditions, and potential trend changes. Here are some benefits of combining these indicators:
Confirmation of Overbought and Oversold Conditions:
MFI and RSI are both oscillators that measure overbought and oversold conditions. When MFI and RSI readings are high (above their respective overbought levels), and the price is near or above the upper Bollinger Band, it may suggest that the asset is overextended and a reversal could be imminent. Conversely, when MFI and RSI readings are low (below their respective oversold levels) and the price is near or below the lower Bollinger Band, it may indicate potential buying opportunities.
Divergence Analysis:
Traders often look for divergences between price action and MFI/RSI. If the price is making new highs, but MFI/RSI is not confirming these highs (bearish divergence), it could signal weakening momentum and a possible reversal. Combining this analysis with Bollinger Bands can add another layer of confirmation, especially if the price is touching or exceeding the upper Bollinger Band during this divergence.
Volatility Confirmation:
Bollinger Bands provide a measure of volatility by expanding and contracting based on price volatility. If the bands are widening, it indicates increased volatility. Combining this information with MFI and RSI readings can help traders assess the strength of a trend. For example, during a strong uptrend, if MFI and RSI are high and Bollinger Bands are expanding, it may suggest a sustained bullish trend.
Identifying Trend Reversals:
The combination of MFI, RSI, and Bollinger Bands can be useful in identifying potential trend reversals. For instance, if MFI and RSI are in overbought conditions and the price is significantly above the upper Bollinger Band, it may signal that the trend is reaching an extreme and could reverse. Conversely, if MFI and RSI are in oversold conditions and the price is near or below the lower Bollinger Band, it may suggest that selling pressure is exhausted, and a reversal might be in play.
Comprehensive Market Assessment:
By merging these indicators, traders get a more comprehensive view of market conditions. They can assess both momentum (MFI and RSI) and volatility (Bollinger Bands) simultaneously, helping them make more informed trading decisions.
It's important to note that no single indicator or combination of indicators guarantees accurate predictions in trading. Traders should use these tools as part of a broader analysis and consider other factors such as fundamental analysis, market trends, and risk management.
What RSI? Weighted Heiken Ashi Triple RSIWhat You're Looking At:
The indicator presents a few key elements on its pane which is separate from the price chart:
Smoothed RSI Average Line: This line represents an average of three different RSI calculations, each weighted differently. It's been smoothed out to reduce noise and help you see the trend more clearly.
Moving Average Line: This is a line that smooths out the average RSI line even further and helps you identify the overall trend.
Bollinger Bands: These are two lines that create a channel around the RSI average line. The upper band typically represents an overbought condition, and the lower band represents an oversold condition.
Background Color: The background of the indicator pane will change colors to indicate buy (green) or sell (red) signals.
Horizontal Lines: There are horizontal lines drawn at levels 70, 50, and 30. These represent overbought, midpoint, and oversold levels, respectively.
How to Operate and Interpret:
Trend Identification: Look at the moving average line. If it's trending upwards, the overall momentum may be considered bullish. If it's trending downwards, the momentum may be bearish.
Buy Signals: You may consider a buy signal when:
The smoothed RSI average crosses above the moving average line.
The smoothed RSI average is below 30 and starts to rise, crossing the oversold line.
The background color turns green, signifying favorable conditions to buy according to the indicator's logic.
Sell Signals: You may consider a sell signal when:
The smoothed RSI average crosses below the moving average line.
The smoothed RSI average is above 70 and starts to fall, crossing the overbought line.
The background color turns red, signifying favorable conditions to sell according to the indicator's logic.
Overbought/Oversold Conditions: When the smoothed RSI line touches or crosses the Bollinger Bands, it could be indicating that the asset is overbought (upper band) or oversold (lower band). Some traders use these conditions to look for potential reversals.
Cautions for Trading:
If the smoothed RSI average is between the bands and near the middle line (50), the market might be considered neutral, and some traders may choose to wait for clearer signals.
Just because the indicator gives a buy or sell signal, it doesn't mean the price will immediately move in that direction. It's important to consider other factors in your trading strategy.
Final Notes:
Always use this indicator in conjunction with other analysis methods. No indicator is perfect, and they should be used to supplement your trading strategy, not replace it.
It's important to set stop losses according to your risk tolerance when entering any trades based on these signals.
Practice with the indicator in a demo account to become familiar with its behavior before using it with real money.
By following the movements and signals of this indicator, you can get a sense of the momentum and potential entry or exit points in the markets you are trading.
IchimokuBuy Sell With Stoch RSIIchimoku Kumo Cloud Crossover Indicator
The "Ichimoku Kumo Cloud Crossover" indicator is a custom technical analysis tool designed for use in the TradingView platform. This indicator is built to assist traders in identifying potential buy and sell signals based on a combination of Ichimoku Cloud analysis, Moving Average Convergence Divergence (MACD), Exponential Moving Average (EMA), Relative Strength Index (RSI), and Stochastic RSI.
Key Components and Parameters:
Ichimoku Kumo Cloud Calculation:
The Ichimoku Kumo Cloud is calculated using the Ichimoku Cloud's Conversion Line and Base Line.
Conversion Line, Base Line, Leading Span 1, and Leading Span 2:
These are key components of the Ichimoku Cloud, and they help identify trends and potential support/resistance levels in the market.
MACD Oscillator:
The Moving Average Convergence Divergence (MACD) is used to gauge the strength and direction of the trend.
EMA 200 (Exponential Moving Average):
The EMA 200 is a long-term moving average used to identify the overall trend direction.
RSI (Relative Strength Index):
The RSI is a momentum oscillator that measures the speed and change of price movements, helping to identify overbought and oversold conditions.
Stochastic RSI (Stoch RSI):
Stoch RSI is calculated based on the RSI values and helps to identify overbought and oversold conditions in a more dynamic manner.
Signal Generation:
The indicator generates buy and sell signals based on the following criteria:
Buy Signal (Long Position):
The Conversion Line crosses above the Base Line (Ichimoku Cloud crossover).
The closing price is above the EMA 200, indicating a bullish bias.
The RSI is between 50 and 70, suggesting the potential for an uptrend.
The MACD Histogram is positive, indicating increasing bullish momentum.
The high price is at least 25% above the EMA 200.
Sell Signal (Short Position):
The Conversion Line crosses below the Base Line (Ichimoku Cloud crossover).
The closing price is below the EMA 200, indicating a bearish bias.
The RSI is between 20 and 50, suggesting the potential for a downtrend.
The MACD Histogram is negative, indicating increasing bearish momentum.
The low price is at least 25% below the EMA 200.
Stoch RSI Filter:
Additionally, a filter based on Stoch RSI slope is applied. The indicator will only open a position if the Stoch RSI is declining for short positions (sell) and rising for long positions (buy).
Visualization:
Buy signals are marked with green triangles below the bars.
Sell signals are marked with red triangles above the bars.
The Ichimoku Cloud is plotted in the background, with cloud colors changing based on whether the Conversion Line or Base Line is higher.
This indicator can be a valuable tool for traders looking to combine multiple technical analysis techniques to make informed trading decisions in the financial markets.
TPG.Buy sell RSI Scapl XAUThis is a tool that is widely used
Especially for Overbought and Oversold systems, but I have made some changes in this indicator,
How to use it...
I have set it as the default setting
- RSI Length: 6 (<10 for scalping - 5m-15m)
- Overbought: 70
- Oversold: 30
What is unique about this tool?
we can see 3 conditions:
1) RSI Overbought / Oversold with Bullish Engulfing / Bearish Engulfing
2) RSI Overbought / Oversold with Hammer and Shooting Star
3) RSI Overbought / Oversold with 2 Bullish Bars / 2 Bearish Bars
4) RSI Overbought / Oversold with All Patterns at the same time
When the RSI reaches its Oversold line, the code will wait for Bullish Engulfing pattren, when oversold and Bullish engulfing matched, This indicator will generate a buy signal when the condition is met,
and same as for Bear market, When the RSI reaches its Overbought line, the code will wait for Bearish Engulfing pattren, This indicator will generate a sell/exit signal when the condition is met,
2nd condition is that a Hammer candle will be waited for when RSI touches the Overbought line, for Bullish Move
and Shooting Star candle will be waited for when RSI touches the Overbought line, for Bullish Move, for Bearish Move
3rd Condition is also the same as Condition 1 and Condition 2,
When the RSI reaches its Oversold line, the code will wait for 2 Bullish Bars, when oversold and 2 Bullish Bars matched then this indicator will generate a buy signal, and same as for Bear market,
When the RSI reaches its Overbought line, the code will wait for 2 Bearish Bars, when overbought and 2 Bearish Bars matched then this indicator will generate a Sell signal,
4th Condition is that we can use All Conditions at the same time,
- Bullish Engulfing / Bearish Engulfing
- Hammer and Shooting Star
- 2 Bullish Bars / 2 Bearish Bars
Better RSIThis script is an enhancement of the original RSI (Relative Strength Index) indicator for TradingView. While the core RSI functionality remains intact, several powerful features have been added to make it a "Better RSI" tool for traders and investors.
Key Features:
1. Divergence Detection: The script now includes both Bullish and Hidden Divergence detection. Bullish Divergence helps identify potential trend reversals when the price makes lower lows, but the RSI makes higher lows. Conversely, Hidden Divergence highlights instances where the RSI and price move in opposite directions, signaling potential trend continuation or reversal.
2. Bollinger Band Breakout Highlight: Users have the option to select "Bollinger Bands" as the Moving Average (MA) type in the settings. When enabled, this feature highlights RSI-Bollinger Band breakouts. It's a valuable tool for traders looking to capitalize on RSI movements in conjunction with Bollinger Bands.
3. Customizable Settings: The script provides a range of customizable settings, allowing you to adjust parameters like RSI length, MA type, Bollinger Bands standard deviation, and more to suit your trading strategy.
4. Clear Visuals: The script offers clear visual cues, with colored backgrounds indicating RSI overbought and oversold levels, as well as extreme breakouts. Bullish and bearish divergence points are also marked with distinct crosses, making it easy to spot potential trading opportunities.
Whether you're a seasoned trader or just starting, the "Better RSI" script empowers you with advanced tools to make more informed trading decisions. Use it to identify potential trend reversals, continuation patterns, and RSI-Bollinger Band breakouts in the market.
Price Strength Index + RSI Buy/Sell ZonesThe Price Strength Index + RSI Buy/Sell Zones indicator is a technical analysis tool designed to evaluate the strength of a financial asset's price movement by comparing it with a series of Volume Weighted Moving Averages (VWMAs) of different lengths calculated from historical data.
Hypothesis :
The core hypothesis behind this indicator is that assessing the relationship between the current price and a range of VWMAs with varying lengths can provide valuable insights into the strength and direction of a price trend. Additionally, it incorporates Relative Strength Index (RSI) conditions to further refine potential buy and sell signals.
How It Works :
Multiple VWMA Calculation: The indicator calculates multiple VWMAs, each with a different length, using historical price data and volume. These VWMAs represent weighted moving averages over various periods, helping to capture different aspects of the price trend.
Comparison with Current Price : For each of these VWMAs, the indicator compares the current bar's price with the VWMA value. This comparison is crucial in understanding how the current price relates to historical averages, shedding light on the strength and direction of the prevailing trend.
SMA of Percentage Above VWMA : The indicator calculates the Simple Moving Average (SMA) of the percentage of prices above the various VWMAs over a specified period. This moving average smoothens out the percentage data, providing a clearer trend signal.
Buy and Sell Zones : User-defined upper and lower thresholds for the percentage of prices above the VWMAs are used to define buy and sell zones. When the percentage falls below the lower threshold, it signals a potential buy zone, suggesting a weakening trend. Conversely, when it exceeds the upper threshold, it signifies a potential sell zone, indicating a strengthening trend.
RSI Integration : The RSI is calculated for the selected price source with a specified length. When the SMA of the percentage above VWMAs falls within the buy zone and the RSI is below the lower RSI threshold, it indicates an oversold condition, potentially signaling a buy opportunity. Conversely, when the SMA falls within the sell zone and the RSI is above the upper RSI threshold, it suggests an overbought condition, possibly signaling a sell opportunity.
Color Coding : The indicator employs color-coding to visually represent the buy and sell zones, as well as extreme RSI conditions. Green color denotes the buy zone, red represents the sell zone, and orange lines indicate the median and potential reversal points.
In summary, the Price Strength Index + RSI Buy/Sell Zones indicator leverages multiple VWMAs of different lengths to assess the relationship between current prices and historical moving averages. This comprehensive analysis, coupled with RSI conditions, aids traders in identifying potential buy and sell zones, as well as extreme RSI points within those zones, enhancing the evaluation of price strength and potential trend reversals.
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!
MACD & RSI Overlay (Expo)█ Overview
The MACD & RSI Overlay (Expo) trading indicator is a technical analysis tool that combines two popular indicators, the Relative Strength Index (RSI ) and the Moving Average Convergence Divergence (MACD ), and overlays them onto the price chart. The indicator oscillates relative to price, so it plots the RSI and MACD around price while still displaying the same insights as the regular MACD and RSI indicators. This feature gives traders a unique perspective, allowing them to see the relationship between price, momentum, and trend in a single chart.
This indicator is a valuable addition to any trader's technical analysis toolkit, whether they are a beginner or an experienced trader.
█ MACD
█ RSI
The RSI comes with overbought and oversold areas, which can be set by the trader.
█ MACD & RSI
█ Trend Feature
What sets the MACD & RSI Overlay indicator apart is its ability to factor in the underlying trend. This feature makes the indicator more useful than ever before, as traders can use it to filter trades in the direction of the trend. By considering the underlying trend, traders can gain valuable insights into market trends.
█ Benefits
One of the primary benefits of having the MACD and RSI plotted directly on the price chart is that it provides a more intuitive understanding of the relationship between price, momentum, and trend. Traders can quickly identify the direction of the trend by observing the price movement relative to the MACD and RSI lines. In addition, by having these indicators plotted on the chart, traders can quickly identify potential buy and sell signals and develop new trading strategies.
█ How to use
One of the most popular strategies is to use the MACD & RSI Overlay indicator to look for crossings. A crossing occurs when the MACD and RSI lines cross over each other or when they cross over the signal line. These crossings can signal potential trend reversals and momentum shifts. For example, if the MACD line crosses over the signal line from below, it could indicate a bullish signal, while a cross from above could indicate a bearish signal.
-----------------
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!
[Pt] TICK + Heikin Ashi RSI IndicatorThis indicator combines NYSE TICK and RSI to aim to provide a view of NYSE market trend strength.
What is TICK
NYSE TICK, also known as the TICK index, is a technical analysis indicator that shows the number of stocks on the New York Stock Exchange (NYSE) that are trading on an uptick or a downtick in a particular period of time. The TICK index is calculated by subtracting the number of stocks trading on a downtick from the number of stocks trading on an uptick. A reading of +1000 on the TICK index, for example, would indicate that there are 1000 more stocks trading on an uptick than on a downtick. The TICK index is often used as a measure of market sentiment, as it can provide insight into whether there is more buying or selling pressure in the market at a given time. A high TICK index reading may suggest that there is strong buying pressure, while a low TICK index reading may indicate that there is more selling pressure in the market.
By default, I am using -800 and 800 for oversold and overbought levels. These are configurable. Also, this indicator includes TICK divergence signals.
The TICK index is usually very volatile, so this indicator is best suited for lower timeframes, such as 1 to 5 min charts.
Idea of TICK neutral zone
As part of this indicator I've identified what I consider as "neutral" range for the TICK. Based on my own personal experience, the market tends to be in consolidation or choppy in this range. By default, I've defined this range to be -200 to 200. This range is configurable.
Signals
In combination with RSI and Heikin Ashi RSI (HARSI), which help smooths out the RSI values and make it easier to identify trends and potential reversal points, this indicator aims to generate Bullish vs Bearish signals based on the following conditions:
- bullish / bearish HARSI candle
- Inside bar on HARSI candle
- TICK trend (above or below Neutral zone)
- RSI trend (above or below 0, but not overbought or oversold)
- RSI / HARSI convergence and divergence
When all bullish conditions are met, the signal turns bright green. Bright red when all bearish conditions are met. These generated signals aims to provide users easy to read visual cues to help with their trades.
A table is also provided in attempt to identify the trend in real time:
TICK trend:
- Bullish, Extended
- Bullish
- Neutral w/ Bullish bias
- Neutral w/ Bearish bias
- Bearish
- Bearish, Extended
RSI:
- Bullish
- Bearish
Note on scale
This indicator is based on the scale for TICK, hence the RSI and HARSI are scaled. By default, standard overbought RSI value of 70 = 800 on this scale, whereas oversold value of 30 = -800.
Credits:
Heikin Ashi RSI code was borrowed from @JayRogers - Heikin Ashi RSI Oscillator
Possible RSI [Loxx]Possible RSI is a normalized, variety second-pass normalized, Variety RSI with Dynamic Zones and optionl High-Pass IIR digital filtering of source price input. This indicator includes 7 types of RSI.
High-Pass Fitler (optional)
The Ehlers Highpass Filter is a technical analysis tool developed by John F. Ehlers. Based on aerospace analog filters, this filter aims at reducing noise from price data. Ehlers Highpass Filter eliminates wave components with periods longer than a certain value. This reduces lag and makes the oscialltor zero mean. This turns the RSI output into something more similar to Stochasitc RSI where it repsonds to price very quickly.
First Normalization Pass
RSI (Relative Strength Index) is already normalized. Hence, making a normalized RSI seems like a nonsense... if it was not for the "flattening" property of RSI. RSI tends to be flatter and flatter as we increase the calculating period--to the extent that it becomes unusable for levels trading if we increase calculating periods anywhere over the broadly recommended period 8 for RSI. In order to make that (calculating period) have less impact to significant levels usage of RSI trading style in this version a sort of a "raw stochastic" (min/max) normalization is applied.
Second-Pass Variety Normalization Pass
There are three options to choose from:
1. Gaussian (Fisher Transform), this is the default: The Fisher Transform is a function created by John F. Ehlers that converts prices into a Gaussian normal distribution. The normaliztion helps highlights when prices have moved to an extreme, based on recent prices. This may help in spotting turning points in the price of an asset. It also helps show the trend and isolate the price waves within a trend.
2. Softmax: The softmax function, also known as softargmax: or normalized exponential function, converts a vector of K real numbers into a probability distribution of K possible outcomes. It is a generalization of the logistic function to multiple dimensions, and used in multinomial logistic regression. The softmax function is often used as the last activation function of a neural network to normalize the output of a network to a probability distribution over predicted output classes, based on Luce's choice axiom.
3. Regular Normalization (devaitions about the mean): Converts a vector of K real numbers into a probability distribution of K possible outcomes without using log sigmoidal transformation as is done with Softmax. This is basically Softmax without the last step.
Dynamic Zones
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
7 Types of RSI
See here to understand which RSI types are included:
Included:
Bar coloring
4 signal types
Alerts
Loxx's Expanded Source Types
Loxx's Variety RSI
Loxx's Dynamic Zones
Yasir Hameed Advance RSI IndicatorRELATIVE STRENGTH INDEX ( RSI )
This is a tool that is widely used
Especially for Overbought and Oversold systems, but I have made some changes in this indicator,
How to use it...!
I have set it as the default setting
- RSI Length: 7
- Overbought: 70
- Oversold: 30
What is unique about this tool?
we can see 3 conditions:
1) RSI Overbought / Oversold with Bullish Engulfing / Bearish Engulfing
2) RSI Overbought / Oversold with Hammer and Shooting Star
3) RSI Overbought / Oversold with 2 Bullish Bars / 2 Bearish Bars
4) RSI Overbought / Oversold with All Patterns at the same time
When the RSI reaches its Oversold line, the code will wait for Bullish Engulfing pattren, when oversold and Bullish engulfing matched, This indicator will generate a buy signal when the condition is met,
and same as for Bear market, When the RSI reaches its Overbought line, the code will wait for Bearish Engulfing pattren, This indicator will generate a sell/exit signal when the condition is met,
2nd condition is that a Hammer candle will be waited for when RSI touches the Overbought line, for Bullish Move
and Shooting Star candle will be waited for when RSI touches the Overbought line, for Bullish Move, for Bearish Move
3rd Condition is also the same as Condition 1 and Condition 2,
When the RSI reaches its Oversold line, the code will wait for 2 Bullish Bars, when oversold and 2 Bullish Bars matched then this indicator will generate a buy signal, and same as for Bear market,
When the RSI reaches its Overbought line, the code will wait for 2 Bearish Bars, when overbought and 2 Bearish Bars matched then this indicator will generate a Sell signal,
4th Condition is that we can use All Conditions at the same time,
- Bullish Engulfing / Bearish Engulfing
- Hammer and Shooting Star
- 2 Bullish Bars / 2 Bearish Bars
Variety RSI w/ Dynamic Zones [Loxx]Variety RSI w/ Dynamic Zones is an indicator with 7 different RSI types with Dynamic Zones. This indicator has signal crossing options for signal, middle, and all Dynamic Zone levels.
What is RSI?
The relative strength index ( RSI ) is a momentum indicator used in technical analysis . RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security.
The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The indicator was developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, New Concepts in Technical Trading Systems.
The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
RSI source pre-smoothing options
Bar coloring
4 types of signal crossing options
Alerts
Loxx's Expanded Source Types
Loxx's RSI Variety RSI types
Variety RSI w/ Fibonacci Auto Channel [Loxx]Variety RSI w/ Fibonacci Auto Channel is an RSI indicator with 7 different RSI types and 4 Fibonacci Channels. This indicator has signal crossing options for signal, middle, and all Fibonacci levels. Bar and fill coloring is using a signal-determinant gradient coloring system to show signal strength or weakness.
What is RSI?
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security.
The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The indicator was developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, New Concepts in Technical Trading Systems.
The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
Included
Bar coloring
6 types of signal crossing options
Alerts
Loxx's Expanded Source Types
Loxx's RSI Variety RSI types
Hayden's Advanced Relative Strength Index (RSI)Preface: I'm just the bartender serving today's freshly blended concoction; I'd like to send a massive THANK YOU to @iFuSiiOnzZ, @Koalafied_3, @LonesomeTheBlue, @LazyBear, @dgtrd and the rest of the PineWizards for the locally-sourced ingredients. I am simply a code editor, not a code author. The book that inspired this indicator is a free download, plus all of the pieces I used were free code from the PineWizards; my hope is that any additional useful development of The Complete RSI trading system also is offered open-source to the community for collaboration.
Features: Fixed & Custom price targeting. Triple trend state detection. Advanced data ticker. Candles, bars, or line RSI . Stochastic of over 20 indicators for adjustable entry/exit signals. Customizable trader watermark. Trend lines for spotting wedges , triangles, pennants , etc. Divergences for spotting potential reversals and Momentum Discrepancy Reversal Point opportunities. RSI percent change and price pivot labels. Gradient bar coloring on-chart.
‼ IMPORTANT: Hover over labels for additional information. Google & read John Hayden's "The Complete RSI" pdf book for comprehensive instructions before attempting to trade with this indicator. Always keep an eye on higher/stronger timeframes.
⚠ DISCLAIMER: DYOR. Not financial advice. Not a trading system. I am not affiliated with TradingView or John Hayden; this is my own personally PineScripted presentation of a suitable RSI to use when trading according to Hayden's rules.
About the Editor: I am a former-FINRA Registered Representative, inventor/patent-holder, and self-taught PineScripter. I mostly code on a v3 Pinescript level so expect heavy scripts that could use some shortening with modern conventions.
Hayden's RSI Rules:
📈 An Uptrend is indicated when:
1. RSI is in the 80 to 40 range
2. The chart shows simple bearish divergence
3. The chart shows Hidden bullish divergence
4. The chart shows Momentum Discrepancy Reversal Up
5. Upside targets being hit
6. 9-bar simple MA is greater than the 45-bar EMA on RSI
7. Counter-trend declines do not exceed 50% of the previous rally
🔮 An Uptrend is in danger when:
1. Longer timeframe fading rally
2. a) Multiple long-term bearish divergences. b) Upside targets not being hit.
3. 9-bar simple MA is less than the 45-bar EMA on RSI
4. Hidden bearish divergence, or simple bullish divergence
5. Deep counter-trend retracements greater than 50%
📉 A Downtrend is indicated when:
1. RSI is in the 60 to 20 range
2. The chart shows simple bullish divergences.
3. The chart shows Hidden bearish divergence
4. The chart shows Momentum Discrepancy Reversal Down
5. Downside targets being hit
6. 9-bar simple MA is less than the 45-bar EMA on RSI
7. Counter-trend rallies do not exceed 50% of the previous decline
🔮 A Downtrend is in danger when:
1. Longer timeframe fading decline
2. a) Multiple long-term bullish divergences. b) Downside targets not being hit.
3. 9-bar simple MA is greater than the 45-bar EMA on RSI
4. Hidden bullish divergence , or simple bearish divergence
5. Steep counter-trend retracements greater than 50%
Parabolic RSIThe Parabolic RSI is a fusion between two of Welles Wilder Jr.'s indicators:
* The parabolic stop-and-reverse: A trend following overlay indicator.
* The relative strength index: A contrarian indicator bounded between 0 and 100.
The parabolic RSI applies the RSI formula on the parabolic stop-and-reverse which in turn is applied on the market price. The main aim is to find an oscillator similar to the RSI but with a touch of a trend following indicator. In other words, the parabolic RSI is to be used in tandem with the regular RSI to get a confirmatory signal. Generally the parabolic RSI is more stable than the RSI due to the formula used (a type of smoothing from the parabolic stop-and-reverse) which is why it may have a diversification factor with the signals from the RSI.
The best way to use the parabolic RSI is as follows:
* A long signal is generated whenever the parabolic RSI exits the oversold level.
* A short signal is generated whenever the parabolic RSI exits the overbought level.
TradingGroundhog - Fundamental Analysis - Multiple RSI Ema(Script Available Version of my previous Fundamental Analysis - Multiple RSI Ema )
As the number of crypto currencies is expanding, we need to find the one which will boom in the next months, weeks or even days.
Therefore, I present to you a Fundamental Analysis tool based on RSI built in order to compare the RSI between the diverse cryptocurrencies.
When cryptocurrencies start to trend, become active, minable and especially "buyable", people are investing their money into them.
As a result,the Daily RSI rises and the price of the crypto in question increases steadily.
With "Fundamental Analysis - Multiple RSI EMA" you can :
Follow up to 20 RSI from different exchanges at the same time.
Find easily Increasing/Decreasing RSI as the lines get transparent if their RSI decrease.
You can also select market with high potential of booming as :
Booming Market : 60 < Daily RSI <= 100 (Strong green background)
Potent Market : 55 < Daily RSI <= 60 (Light green background)
Sleepy Market : 50 < Daily RSI <= 55 (Light red background)
Dying Market : 0 < Daily RSI <= 50 (Strong red background)
Futur booming crypto will go from the Potent Market to the Booming Market
Can be used with the following time frames depending on the necessity:
4H
Daily (Preferred)
Weekly
Monthly
Good trades !
Disclaimer (As it should always be one to any script)
***
This script is intended for and only to be used for personal purposes only. No such information provided by it constitutes advice or a recommendation for any investment or trading strategy for any specific person. There is no guarantee presented or implied as to the accuracy of specific forecasts, projections, or predictive statements offered by the script. Users of the script agree that its original developer does not take responsibility for any of your investment decisions. Please seek professional advice before trading.
***
Multi-timeframe Dashboard for RSI And Stochastic RSI Dashboard to check multi-timeframe RSI and Stochastic RSI on 4h, 8h, 12h, D and W
Great side tool to assist on the best time to buy and sell and asset.
Shows a green arrow on a good buy moment, and a red when to sell, for all timeframes. In case there are confluence on more than one, you have the info that you need.
Uses a formula with a weight of 5 for RSI and 2 for Stochastic RSI, resulting on a factor used to set up a color for each of the timeframes.
Legend per each timeframe:
- Blue: Excellent buy, RSI and Stoch RSI are low
- Green: Great buy, RSI and Stoch RSI with a quite positive entry point
- White: Good buy
- Yellow: A possible sell, depending on combination of timeframes. Not recommended for a buy
- Orange: Good sell, depending on combination of timeframes
- Red: If on more than one timeframe, especially higher ones, it is a good time to sell
For reference (But do your own research):
- Blue on Weekly: Might represent several weeks of growth. Lower timeframes will cycle from blue to red, while daily and Weekly gradually change
- Blue on Daily: Might represent 7-15 days of growth, depending on general resistance and how strongly is the weekly
PS: Check the RSI, Stochastic RSI and other indicators directly as well
Delta-RSI Oscillator StrategyDelta-RSI Oscillator Strategy:
This strategy illustrates the use of the recently published Delta-RSI Oscillator as a stand-alone indicator.
Delta-RSI represents a smoothed time derivative of the RSI, plotted as a histogram and serving as a momentum indicator.
There are three optional conditions to generate trading signals (set separately for Buy, Sell and Exit signals):
Zero-crossing : bullish when D-RSI crosses zero from negative to positive values (bearish otherwise)
Signal Line Crossing : bullish when D-RSI crosses from below to above the signal line (bearish otherwise)
Direction Change : bullish when D-RSI was negative and starts ascending (bearish otherwise)
Since D-RSI oscillator is based on polynomial fitting of the RSI curve, there is also an option to filter trade signal by means of the root mean-square error of the fit (normalized by the sample average).
My original D-RSI Oscillator script can be found here:
[blackcat] L2 Ehlers DFT-Adapted RSILevel: 2
Background
John F. Ehlers introuced his DFT-ADAPTED RELATIVE STRENGTH INDEX (RSI) in Jan, 2007.
Function
In "Fourier Transform For Traders" in Jan, 2007, John Ehlers presented an interesting technique of improving the resolution of spectral analysis that could be used to effectively measure market cycles. Better resolution is obtained by a surprisingly simple modification of the discrete Fourier transform. John Ehlers suggests using the discrete Fourier transform (DFT) to tune indicators. Here, I demonstrate this by building a DFT-adapted relative strength index (RSI) strategy.
Rather than display the RSI for a single cycle length across the entire chart, Ehlers DFT adaptive RSI value reflects the DFT-calculated dominant cycle length RSI. If the dominant cycle changes from 14 to 18 bars, the RSI length parameter changes accordingly. Computationally, this requires the strategy to continuously update values for all possible RSI cycle lengths via a "for" loop and array.
In details, a full-featured formula that implements a high-pass filter (HP) and a six-tap low-pass finite impulse response (FIR) filter on input, then does discrete Fourier transform calculations. I has taken liberty of adding extra parameters so the user can modify the analysis window length and the high-pass filter cutoff frequency in real time using the parameters window. Once the suite of possible RSI values is calculated, we use the DFT to select the relevant RSI for the current bar. The strategy then trades according to J. Welles Wilder's original rules for the RSI.
Key Signal
fastline--> DFT-ADAPTED RELATIVE STRENGTH INDEX (RSI) fast line
slowline--> DFT-ADAPTED RELATIVE STRENGTH INDEX (RSI) slow line
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 71th script for Blackcat1402 John F. Ehlers Week publication.
Based on original work of Ehlers, I added ALMA smoothing on DFT-adapted relative strength index (RSI) so that clearer trend can be observed.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
[blackcat] L2 Ehlers Modified RSI IndicatorLevel: 2
Background
John F. Ehlers introuced Modified RSI Indicator in his "Cycle Analytics for Traders" chapter 7 on 2013.
Function
The RSI is the percentage of the sum of the delta closes up to the sum of all the delta closes over the observation period. The only variable here is the observation period. To have maximum effectiveness the observation period should be half of the measured period. If the observation period is half the dominant cycle, then for a pure sine wave, the closes up is exactly equal to the total closes during part of the cycle from the valley to the peak. In this case, the RSI would have a value of 100. During another part of the cycle—the next half cycle—there would be no closes up. During this half cycle, the RSI would have a value of zero. So, in principle, half the measured cycle is the correct choice for the RSI observation period.
A modified RSI that is a standard RSI preceded by a SuperSmoother filter. The modified RSI is far more responsive and has less lag because the low frequency components have have been removed by the high-pass part of the SuperSmoother filter. The RSI is functionally the same as a single-pole high-pass filter because the CU term in the numerator is just a summation of one-bar differences.
Key Signal
MyRSI --> Modified RSI Indicator fast line
Trigger --> Modified RSI Indicator slow line
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 45th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
