Reverse Cutlers Relative Strength Index On ChartIntroduction
The Reverse Cutlers Relative Strength Index (RCRSI) OC is an indicator which tells the user what price is required to give a particular Cutlers Relative Strength Index ( RSI ) value, or cross its Moving Average (MA) signal line.
Overview
Background & Credits:
The relative strength index ( RSI ) is a momentum indicator used in technical analysis that was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”.
Cutler created a variation of the RSI known as “Cutlers RSI” using a different formulation to avoid an inherent accuracy problem which arises when using Wilders method of smoothing.
Further developments in the use, and more nuanced interpretations of the RSI have been developed by Cardwell, and also by well-known chartered market technician, Constance Brown C.M.T., in her acclaimed book "Technical Analysis for the Trading Professional” 1999 where she described the idea of bull and bear market ranges for RSI , and while she did not actually reveal the formulas, she introduced the concept of “reverse engineering” the RSI to give price level outputs.
Renowned financial software developer, co-author of academic books on finance, and scientific fellow to the Department of Finance and Insurance at the Technological Educational Institute of Crete, Giorgos Siligardos PHD . brought a new perspective to Wilder’s RSI when he published his excellent and well-received articles "Reverse Engineering RSI " and "Reverse Engineering RSI II " in the June 2003, and August 2003 issues of Stocks & Commodities magazine, where he described his methods of reverse engineering Wilders RSI .
Several excellent Implementations of the Reverse Wilders Relative Strength Index have been published here on Tradingview and elsewhere.
My utmost respect, and all due credits to authors of related prior works.
Introduction
It is worth noting that while the general RSI formula, and the logic dictating the UpMove and DownMove data series has remained the same as the Wilders original formulation, it has been interpreted in a different way by using a different method of averaging the upward, and downward moves.
Cutler recognized the issue of data length dependency when using wilders smoothing method of calculating RSI which means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until enough calculation iterations have occurred for convergence.
Hence Cutler proposed using Simple Moving Averaging for gain and loss data which this Indicator is based on.
Having "Reverse engineered" prices for any oscillator makes the planning, and execution of strategies around that oscillator far simpler, more timely and effective.
Introducing the Reverse Cutlers RSI which consists of plotted lines on a scale of 0 to 100, and an optional infobox.
The RSI scale is divided into zones:
• Scale high (100)
• Bull critical zone (80 - 100)
• Bull control zone (62 - 80)
• Scale midline (50)
• Bear control zone (20 - 38)
• Bear critical zone (0 - 20)
• Scale low (0)
The RSI plots which graphically display output closing price levels where Cutlers RSI value will crossover:
• RSI (eq) (previous RSI value)
• RSI MA signal line
• RSI Test price
• Alert level high
• Alert level low
The info box displays output closing price levels where Cutlers RSI value will crossover:
• Its previous value. ( RSI )
• Bull critical zone.
• Bull control zone.
• Mid-Line.
• Bear control zone.
• Bear critical zone.
• RSI MA signal line
• Alert level High
• Alert level low
And also displays the resultant RSI for a user defined closing price:
• Test price RSI
The infobox outputs can be shown for the current bar close, or the next bar close.
The user can easily select which information they want in the infobox from the setttings
Importantly:
All info box price levels for the current bar are calculated immediately upon the current bar closing and a new bar opening, they will not change until the current bar closes.
All info box price levels for the next bar are projections which are continually recalculated as the current price changes, and therefore fluctuate as the current price changes.
Understanding the Relative Strength Index
At its simplest the RSI is a measure of how quickly traders are bidding the price of an asset up or down.
It does this by calculating the difference in magnitude of price gains and losses over a specific lookback period to evaluate market conditions.
The RSI is displayed as an oscillator (a line graph that can move between two extremes) and outputs a value limited between 0 and 100.
It is typically accompanied by a moving average signal line.
Traditional interpretations
Overbought and oversold:
An RSI value of 70 or above indicates that an asset is becoming overbought (overvalued condition), and may be may be ready for a trend reversal or corrective pullback in price.
An RSI value of 30 or below indicates that an asset is becoming oversold (undervalued condition), and may be may be primed for a trend reversal or corrective pullback in price.
Midline Crossovers:
When the RSI crosses above its midline ( RSI > 50%) a bullish bias signal is generated. (only take long trades)
When the RSI crosses below its midline ( RSI < 50%) a bearish bias signal is generated. (only take short trades)
Bullish and bearish moving average signal Line crossovers:
When the RSI line crosses above its signal line, a bullish buy signal is generated
When the RSI line crosses below its signal line, a bearish sell signal is generated.
Swing Failures and classic rejection patterns:
If the RSI makes a lower high, and then follows with a downside move below the previous low, a Top Swing Failure has occurred.
If the RSI makes a higher low, and then follows with an upside move above the previous high, a Bottom Swing Failure has occurred.
Examples of classic swing rejection patterns
Bullish swing rejection pattern:
The RSI moves into oversold zone (below 30%).
The RSI rejects back out of the oversold zone (above 30%)
The RSI forms another dip without crossing back into oversold zone.
The RSI then continues the bounce to break up above the previous high.
Bearish swing rejection pattern:
The RSI moves into overbought zone (above 70%).
The RSI rejects back out of the overbought zone (below 70%)
The RSI forms another peak without crossing back into overbought zone.
The RSI then continues to break down below the previous low.
Divergences:
A regular bullish RSI divergence is when the price makes lower lows in a downtrend and the RSI indicator makes higher lows.
A regular bearish RSI divergence is when the price makes higher highs in an uptrend and the RSI indicator makes lower highs.
A hidden bullish RSI divergence is when the price makes higher lows in an uptrend and the RSI indicator makes lower lows.
A hidden bearish RSI divergence is when the price makes lower highs in a downtrend and the RSI indicator makes higher highs.
Regular divergences can signal a reversal of the trending direction.
Hidden divergences can signal a continuation in the direction of the trend.
Chart Patterns:
RSI regularly forms classic chart patterns that may not show on the underlying price chart, such as ascending and descending triangles & wedges , double tops, bottoms and trend lines etc.
Support and Resistance:
It is very often easier to define support or resistance levels on the RSI itself rather than the price chart.
Modern interpretations in trending markets:
Modern interpretations of the RSI stress the context of the greater trend when using RSI signals such as crossovers, overbought/oversold conditions, divergences and patterns.
Constance Brown, CMT , was one of the first who promoted the idea that an oversold reading on the RSI in an uptrend is likely much higher than 30%, and that an overbought reading on the RSI during a downtrend is much lower than the 70% level.
In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range, with the 40-50 zone acting as support.
During a downtrend or bear market, the RSI tends to stay between the 10 to 60 range, with the 50-60 zone acting as resistance.
For ease of executing more modern and nuanced interpretations of RSI it is very useful to break the RSI scale into bull and bear control and critical zones.
These ranges will vary depending on the RSI settings and the strength of the specific market’s underlying trend.
Limitations of the RSI
Like most technical indicators, its signals are most reliable when they conform to the long-term trend.
True trend reversal signals are rare, and can be difficult to separate from false signals.
False signals or “fake-outs”, e.g. a bullish crossover, followed by a sudden decline in price, are common.
Since the indicator displays momentum, it can stay overbought or oversold for a long time when an asset has significant sustained momentum in either direction.
Data Length Dependency when using wilders smoothing method of calculating RSI means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until calculation iterations have occurred for convergence.
Cari dalam skrip untuk "index"
Reverse Cutlers Relative Strength IndexIntroduction
The Reverse Cutlers Relative Strength Index (RCRSI) is an indicator which tells the user what price is required to give a particular Cutlers Relative Strength Index (RSI) value, or cross its Moving Average (MA) signal line.
Overview
Background & Credits:
The relative strength index (RSI) is a momentum indicator used in technical analysis that was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”.
Cutler created a variation of the RSI known as “Cutlers RSI” using a different formulation to avoid an inherent accuracy problem which arises when using Wilders method of smoothing.
Further developments in the use, and more nuanced interpretations of the RSI have been developed by Cardwell, and also by well-known chartered market technician, Constance Brown C.M.T., in her acclaimed book "Technical Analysis for the Trading Professional” 1999 where she described the idea of bull and bear market ranges for RSI, and while she did not actually reveal the formulas, she introduced the concept of “reverse engineering” the RSI to give price level outputs.
Renowned financial software developer, co-author of academic books on finance, and scientific fellow to the Department of Finance and Insurance at the Technological Educational Institute of Crete, Giorgos Siligardos PHD. brought a new perspective to Wilder’s RSI when he published his excellent and well-received articles "Reverse Engineering RSI " and "Reverse Engineering RSI II " in the June 2003, and August 2003 issues of Stocks & Commodities magazine, where he described his methods of reverse engineering Wilders RSI.
Several excellent Implementations of the Reverse Wilders Relative Strength Index have been published here on Tradingview and elsewhere.
My utmost respect, and all due credits to authors of related prior works.
Introduction
It is worth noting that while the general RSI formula, and the logic dictating the UpMove and DownMove data series as described above has remained the same as the Wilders original formulation, it has been interpreted in a different way by using a different method of averaging the upward, and downward moves.
Cutler recognized the issue of data length dependency when using wilders smoothing method of calculating RSI which means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until enough calculation iterations have occurred for convergence.
Hence Cutler proposed using Simple Moving Averaging for gain and loss data which this Indicator is based on.
Having "Reverse engineered" prices for any oscillator makes the planning, and execution of strategies around that oscillator far simpler, more timely and effective.
Introducing the Reverse Cutlers RSI which consists of plotted lines on a scale of 0 to 100, and an optional infobox.
The RSI scale is divided into zones:
• Scale high (100)
• Bull critical zone (80 - 100)
• Bull control zone (62 - 80)
• Scale midline (50)
• Bear critical zone (20 - 38)
• Bear control zone (0 - 20)
• Scale low (0)
The RSI plots are:
• Cutlers RSI
• RSI MA signal line
• Test price RSI
• Alert level high
• Alert level low
The info box displays output closing price levels where Cutlers RSI value will crossover:
• Its previous value. (RSI )
• Bull critical zone.
• Bull control zone.
• Mid-Line.
• Bear control zone.
• Bear critical zone.
• RSI MA signal line
• Alert level High
• Alert level low
And also displays the resultant RSI for a user defined closing price:
• Test price RSI
The infobox outputs can be shown for the current bar close, or the next bar close.
The user can easily select which information they want in the infobox from the setttings
Importantly:
All info box price levels for the current bar are calculated immediately upon the current bar closing and a new bar opening, they will not change until the current bar closes.
All info box price levels for the next bar are projections which are continually recalculated as the current price changes, and therefore fluctuate as the current price changes.
Understanding the Relative Strength Index
At its simplest the RSI is a measure of how quickly traders are bidding the price of an asset up or down.
It does this by calculating the difference in magnitude of price gains and losses over a specific lookback period to evaluate market conditions.
The RSI is displayed as an oscillator (a line graph that can move between two extremes) and outputs a value limited between 0 and 100.
It is typically accompanied by a moving average signal line.
Traditional interpretations
Overbought and oversold:
An RSI value of 70 or above indicates that an asset is becoming overbought (overvalued condition), and may be may be ready for a trend reversal or corrective pullback in price.
An RSI value of 30 or below indicates that an asset is becoming oversold (undervalued condition), and may be may be primed for a trend reversal or corrective pullback in price.
Midline Crossovers:
When the RSI crosses above its midline (RSI > 50%) a bullish bias signal is generated. (only take long trades)
When the RSI crosses below its midline (RSI < 50%) a bearish bias signal is generated. (only take short trades)
Bullish and bearish moving average signal Line crossovers:
When the RSI line crosses above its signal line, a bullish buy signal is generated
When the RSI line crosses below its signal line, a bearish sell signal is generated.
Swing Failures and classic rejection patterns:
If the RSI makes a lower high, and then follows with a downside move below the previous low, a Top Swing Failure has occurred.
If the RSI makes a higher low, and then follows with an upside move above the previous high, a Bottom Swing Failure has occurred.
Examples of classic swing rejection patterns
Bullish swing rejection pattern:
The RSI moves into oversold zone (below 30%).
The RSI rejects back out of the oversold zone (above 30%)
The RSI forms another dip without crossing back into oversold zone.
The RSI then continues the bounce to break up above the previous high.
Bearish swing rejection pattern:
The RSI moves into overbought zone (above 70%).
The RSI rejects back out of the overbought zone (below 70%)
The RSI forms another peak without crossing back into overbought zone.
The RSI then continues to break down below the previous low.
Divergences:
A regular bullish RSI divergence is when the price makes lower lows in a downtrend and the RSI indicator makes higher lows.
A regular bearish RSI divergence is when the price makes higher highs in an uptrend and the RSI indicator makes lower highs.
A hidden bullish RSI divergence is when the price makes higher lows in an uptrend and the RSI indicator makes lower lows.
A hidden bearish RSI divergence is when the price makes lower highs in a downtrend and the RSI indicator makes higher highs.
Regular divergences can signal a reversal of the trending direction.
Hidden divergences can signal a continuation in the direction of the trend.
Chart Patterns:
RSI regularly forms classic chart patterns that may not show on the underlying price chart, such as ascending and descending triangles & wedges, double tops, bottoms and trend lines etc.
Support and Resistance:
It is very often easier to define support or resistance levels on the RSI itself rather than the price chart.
Modern interpretations in trending markets:
Modern interpretations of the RSI stress the context of the greater trend when using RSI signals such as crossovers, overbought/oversold conditions, divergences and patterns.
Constance Brown, CMT, was one of the first who promoted the idea that an oversold reading on the RSI in an uptrend is likely much higher than 30%, and that an overbought reading on the RSI during a downtrend is much lower than the 70% level.
In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range, with the 40-50 zone acting as support.
During a downtrend or bear market, the RSI tends to stay between the 10 to 60 range, with the 50-60 zone acting as resistance.
For ease of executing more modern and nuanced interpretations of RSI it is very useful to break the RSI scale into bull and bear control and critical zones.
These ranges will vary depending on the RSI settings and the strength of the specific market’s underlying trend.
Limitations of the RSI
Like most technical indicators, its signals are most reliable when they conform to the long-term trend.
True trend reversal signals are rare, and can be difficult to separate from false signals.
False signals or “fake-outs”, e.g. a bullish crossover, followed by a sudden decline in price, are common.
Since the indicator displays momentum, it can stay overbought or oversold for a long time when an asset has significant sustained momentum in either direction.
Data Length Dependency when using wilders smoothing method of calculating RSI means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until calculation iterations have occurred for convergence.
Elder's Force Index Color BarBased on the Elder's Force Index (EFI) , +/- of the EFI and its ema is used to describe the rise, fall or possible reversal of the market, and finally shown by bar color.
The green bar represents a strong bull and the red bar represents a strong bear;
The blue bar indicates that the downtrend is exhausted and may rise. Likewise the yellow bar.
Of course, it is difficult to buy the bottom and sell the top at any time. This indicator needs to be judged together with the pattern or other indicators that predict reversals in order to increase the win rate.
Happy Trading.
根据Elder's Force Index修改而成，取消了幅图指标，仅用bar color来表现上涨，下跌和转折。
绿色k线代表上涨动能充足，红色k线表示下跌动能充足；
蓝色k线表示下跌力竭，可能会上涨；
黄色k线表示上涨力竭，可能会下跌。
当然，任何时候抄底摸顶都是困难的，该指标需要和形态或者其他预测反转的指标一起判断才能增加成功率。
祝交易愉快。
緑は上昇トレンドで、赤は下落トレンドです；
青は下落が尽きて上昇する可能性があることを示すことで、黄色は上昇が終わり、下落の可能性があることを示しています。
成功率を高めるためには、パターンや反転を予測する他の指標と合わせて判断する必要があります。
Happy Trading。
BitMEX BTC Volatility IndexThis indicator displays the BitMEX BTC Volatility Index ( BVOL24H ) as an indicator and it can be compared to the VIX of the cryptocurrencies.
more information about how BVOL24H is calculated can be found here: www.bitmex.com
Symbol can be changed in the parameters
Cumulative Relative Strength IndexIntroduction: This gem is straight out of chapter 9 of "Short Term Trading Strategies That Work" by Larry Connors and Cesar Alvarez. In the book, the authors discuss the creation of a custom strategy that sums the past X bars of the regular Relative Strength Index indicator, and they discuss how this modified "cumulative" RSI provides better entry and exit points.
How it works: This indicator sums the past X periods of the Relative Strength Index, and plots this "cumulative" measure of the RSI. Since the cumulation changes the score scale, the upper and lower bands are dynamic based on how many bars back you are summing for the cumulation. The upper and lower bands are adjustable with an input, along with the RSI length and cumulation period.
Additional explanation: The authors use this indicator on the 1 day time-frame, typically with the RSI length set to 2 and the cumulation length set to 2. Based on how the indicator works, under those settings the current value would read the sum of the last 2 day's regular 2 period RSI. Test it out!
Arms Index TRIN [DM]Hello colleagues""
Here I share today Arms Index!!!
-Avalilables settings and options:
- Switcheable Index NASDAQ and S&P
- Switcheable Alerts "crossover, crossunder, change and main ones"
-Fill Color Customizables
-Signal Color Customizables
-Signal Smooth Customizable
Enjoy!!!
Arms Index (TRIN)
The Arms Index (TRIN) is a market breadth oscillator that was developed by Richard Arms. It is also known as the Trading Index, hence the abbreviation TRIN. It relates advancing and declining stocks to their respective volume flows by dividing the Advance/Decline Ratio by the volume ratio. When it rises the market is said to be weak and vice versa. The value 1 is key and crossing it generates a signal. A value above 1 indicates declining stocks have the upperhand in the volume flow and vice versa. The indicator can be used to spot overbought and oversold situations and is best used in combination with other analysis techniques.
[blackcat] L1 M.H. Pee Trend Intensity Index (TII)Level: 1
Background
M.H. Pee developed the Trend intensity index (TII) indicator to measure the strength of a trend in the market.
Function
In this pine script, it uses the current 55-bar moving average for the measurements. TII looks at the proportion of prices of prior 34 bars being above or below today’s 55-bar moving average. The purpose of the TII indicator’s measurements is to gauge the future price trend movement.
The TII indicator takes today’s 55-bar moving average and each bar’s deviation (close – average). Up deviations give a positive amount while the downside deviations give negative amounts.
Up = close – average
Down = average- close
Then, the trend intensity index is the percentage of the total up amount out of the total up and down amounts. The formula is:
Trend intensity index (TII) = {total up / (total up + total down)} × 100
I use alma() plus hma() to filter out noise signal.
Inputs
Price --> Price source as input.
AvgLength --> Length input for the moving average for the TII measurements.
DevCalcLength --> Length input for bar’s deviation.
Key Signal
TII --> TII output signal
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
[blackcat] L1 Trend Detection Index (TDI)Level: 1
Background
The trend detection index (TDI), which can be used to help detect when a trend has begun and when it has come to an end.
Function
The Trend Detection Index (TDI) is used to identify when a trend has started and when it ends. The TDI can be used as a stand-alone indicator or combined with others; It will work well when it comes to spotting the beginning of trends. However, this does not mean that its signals are absolutely accurate.
Inputs
Price --> Price source as input.
Length --> Length input can be adjusted to tune TDI performance.
Key Signal
MktPos --> 1 for long and -1 for short
Remarks
This is a Level 1 free but closed source indicator.
Feedbacks are appreciated.
Natural Directional Index [CC]The Natural Directional Index was created by Jim Sloman and this is another indicator that I'm publishing from the collection of Ocean indicators. I want to make sure his legacy is covered by as many eyes as possible. This is his version of the directional index indicator but he uses his weighting method to use the square root of time and you can see that the signals are very smooth. Big thanks of course to @altcoinz and @tmac87 for helping me get the full source code and files for all of his work. This indicator captures the current trend and I have used my strong buy and sell signals to let you know the strength of the current trend. Darker colors are for strong signals and lighter colors are for normal ones. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
Combo Backtest 123 Reversal & Smart Money Index (SMI) This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment.
The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns.
The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day
because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening.
Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance.
Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated
for many markets and market indices (S&P 500, DJIA, etc.)
The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling
about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the
market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation
is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend
soon. The SMI is, therefore, a trend-based indicator.
Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.
WARNING:
- For purpose educate only
- This script to change bars colors.
Market Movers: Sectoral IndexThe indicator will show the Sectors which are leading or lagging NIFTY50 index based on Alpha & Beta values. Stock selection can be done based on the respective Sectors.
Look for alpha & beta values.
Prefer one with high beta.
Greens are leaders & Blues are lagers.
This don't completely indicates a trend, but it can give the overview of a major trend & market movers.
Gray line is the base index NIFTY50, it is Zero.
Turn on Indicator Name Label in Settings > Chart Settings.
In intraday or positions, in a leading Sector there will be a leading stock, spot it out.
Make a sector wise watchlist of stocks.
Use higher or Daily timeframe for Swing trades.
Detailed descriptions are available in my previous Alpha & Beta indicators.
Combo Backtest 123 Reversal & Relative Momentum Index This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Relative Momentum Index (RMI) was developed by Roger Altman. Impressed
with the Relative Strength Index's sensitivity to the number of look-back
periods, yet frustrated with it's inconsistent oscillation between defined
overbought and oversold levels, Mr. Altman added a momentum component to the RSI.
As mentioned, the RMI is a variation of the RSI indicator. Instead of counting
up and down days from close to close as the RSI does, the RMI counts up and down
days from the close relative to the close x-days ago where x is not necessarily
1 as required by the RSI). So as the name of the indicator reflects, "momentum" is
substituted for "strength".
WARNING:
- For purpose educate only
- This script to change bars colors.
NAAIM Exposure IndexThe NAAIM Exposure Index represents the average exposure to US Equity markets reported by members.
The line depicts a two-week moving average of the NAAIM managers’ responses.
It is important to recognize that the NAAIM Exposure Index is not predictive in nature and is of little value in attempting to determine what the stock market will do in the future. The primary goal of most active managers is to manage the risk/reward relationship of the stock market and to stay in tune with what the market is doing at any given time. As the name indicates, the NAAIM Exposure Index provides insight into the actual adjustments active risk managers have made to client accounts over the past two weeks.
Modifications
I have correlated the index line with its 21 MA , so below 21 MA determines weakness and breaking determine strenght in the sentiments.
How to use it rationally?
Try to find the "Divergence" .
ESI (Exponential Strength Index) & SSI (Simple Strength Index)1.Exponential Strength Index (ESI) & Relative Strength Index (RSI) cross above Simple Strength Index (SSI) is buy signal and sell is below. Confirm with level
2.Use divergence confirm signal buy and sell with first method
Screener: Alpha & Beta IndexThis is a Index Screener which can short list the major Sectors contributing to NIFTY movement that day.
This helps in sector based trading, in which we can trade in the stocks which falls under that particular sector.
No need to roam around all the stocks in the whole watchlist.
It is recommended to create sector wise watchlist of all sectors. It will be easier to concentrate in only one sector.
For example in IT sector index there are certain stocks which contribute to the movement of IT sector.
This will be available in NSE (or exchange website).
For detailed description check out the descriptions in my previous 2 Alpha and Beta indicators.
Combine and use this screener with my previous Alpha & Beta indicator.
Currency Index Comparison on ChartI wanted to make this script when I made XY RSI - Relative strength Index
But too many bars make the chart ugly.
Today I found a great script from melihtuna on
So I can implement this idea now.
This script is for Forex combinations of the following currencies: USD, EUR, GBP, JPY, CHF, AUD, NZD, CAD
It displayed currency index ( DXY , EXY , BXY , JXY , AXY , CXY , SXY , ZXY ) chart based on the currency pairs.
For example, USDJPY chart will automatically display green line US Dollar Index (DXY) and red line Japan Yen index (JXY).
XY RSI - Relative strength IndexThis script is for Forex combinations of the following currencies: USD, EUR, GBP, JPY, CHF, AUD, NZD, CAD
- It uses security function to get 28 currency pairs, so that it may cost a few seconds to paint.
- It displays two currencies RSI index based on the chart. For example, the chart is GBPCHF, then the green line is for GBP, the red line is for CHF.
You can compare currency index (DXY, EXY, BXY, JXY, AXY, CXY, SXY, ZXY) chart on your main chart by youself to get more views on relative strength.
Directional Movement Index and ADXDMI (ADX) consists of three indicators that measure a trend’s strength and direction. Three lines compose the Direction Movement Index (DMI): ADX (white/gray line), DI+ (green line), and DI- (orange line). The Average Directional Index (ADX) line shows the strength of the trend. The higher the ADX value, the stronger the trend. The ADX line is white when it has a positive slope, otherwise it is gray.
The Plus Direction Indicator (DI+) and Minus Direction Indicator (DI-) show the current price direction. When the DI+ is above DI-, the current price momentum is up. When the DI- is above DI+, the current price momentum is down.
Trend detection: When the background has a bluish color there is an upward trend, and when the background has a reddish color there is a downward trend.
Includes an information panel that shows the current value and trend of some well-known indicators.
Average Directional Index + ΔDI± (Delta)Average Directional Index (ADX) and Difference between DI+ and DI- (ΔDI±), I call it Delta for short.
The idea explained:
ADX is a common indicator for analysing trend strength. Values over 25 usually indicate the symbol is in "trend mode", meaning there is a lot of momentum, upwards or downwards, - while values under 25 suggest it is in "range mode", the price moves sideways, lacking energy. Note that this indicator is not volume-based.
I moved the graph (red) down 25 points; this version shows positive values in "trend mode" (>25), and negative values in "range mode" (<25). The line sits at 0. The underlying code for the ADX is basically identical to the official TradingView built-in version.
Now the exciting part: DI+ and DI- are used to calculate the ADX. They are sometimes included in the ADX indicator chart, I included a version that shows them in the graphic, at the bottom. Traditionally, DI+ (green) crossing DI- (dark red) from below shows the beginning of an upward trend, and therefore a good LONG entry position. However, I noticed that this is usually not the case: this method responds very slowly to the actual price movement. At the point the indicator tells you to enter, the trend is usually already exhausted.
I found a better way to use this data; instead of waiting for both graphs to cross, meaning the difference in their respective values is 0, we look for the greatest possible difference. That is what the purple graph of my indicator shows (ΔDI±). It utilizes the zero-line we already created for the ADX. High positive values declare that the DI+ is much greater than the DI-, and vice versa. Delta is the greek letter used in mathematics for difference, so that is what I call this indicator.
How to use it:
When you look at the graph, low Delta values seem to be good entry points for LONG positions, high Delta values good exits. This is similar to how RSI and CCI work, which is why included them in the chart above (). However, this is only reliable, when the ADX is above 25, or 0 in this version, indicating the symbol is in "trend mode". This is important .
When you look at the examples in the chart, you can confirm that. The marked candles show good entry and exit points, with Delta being notably low/high (±25 seems to be a good threshold, the dashed lines sit at +30/-30), and the ADX above 0 (25). Now, you might have noticed that around mid-december the Delta actually registers the highest value for this symbol in the given time frame, indicating a strong SHORT after a steep climb. But, importantly , the ADX is not in "trend mode" as required for a clear signal, it is in "range mode": the price discovers this new level and takes a few days to get used to it. It does not fall. This shows why only the combination of both Delta and ADX gives desirable results.
I noticed that this seems to work best for 1D and 1H candles; if you find any other time frames or scenarios, let me know!
PLEASE NOTE THAT THIS IS BASED ON PERSONAL, EMPIRICAL OBSERVATIONS. PAST RESULTS DO NOT GUARANTEE SUCCESS IN THE FUTURE. DO NOT TAKE THIS AS INVESTMENT ADVICE!
Thanks to TradingView and robertkowalski for providing the basis on which the code is built. Credit goes to the appropriate developers/owners.
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Let me know if you make any other observations, or find other ways to use the data!
RedK Trader Pressure Index (TPX v1.0) Quick Summary
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The RedK Trader Pressure Index (REDK_TPX) analyzes the changes in price bars to give the trader a clear visual insight that represents the ongoing fight between the bulls (buyers) and bears (sellers) in the market - to determine who is in control of the price action, which in turn can be helpful in a trader’s decision about how the price action may be unfolding, what type of trade and positions to take (or to close) and when is the ideal time to action.
How the TPX calculation works
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The TPX uses a simple logic and that’s one of the things I like about it – there is no complex calculation or magic stuff - and the core idea makes sense to me, as well as being one of the ways I needed to analyze my price charts.
The underlying assumption is that the buyers and sellers are competing for control of the market at all time.
- if there’s more buyers than sellers in the market, and if the buyers’ (or bull) pressure is stronger (than the sellers’), they will be able pull the “price range” up – and that means that on the price chart we can expect to see an increase in value in both the “high” and the “low” of the next price bar.
- Similarly, if there’s more sellers than buyers in the market, and if the sellers’ (or bear) pressure is stronger (than the buyers’), they will be able push the “price range” down – on the price chart we can expect to see a decrease in value in both the “high” and the “low” of the next price bar.
So, we will use the change in high and low price, between 2 consecutive price bars, as a proxy for the bull and bear “pressures” – a (weighted) moving average of these “pressure” values are then calculated along with the “Net Pressure” – the final results are plotted.
The importance of the "Control Level"
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As in similar price-action based indicators, there’s a certain threshold or “control level”, above which, the pressure becomes “dominant”
when the bull or bear pressure is above that threshold, they will dominate and control the price move – this level can be found around the 25 or 30. I have included the ability to plot and adjust that control level in the TPX’s settings – and I also show some examples in the chart above (weekly chart for MSFT)
The code is commented and the chart is annotated to explain how to “read” the TPX – and how to interpret the values on the price chart
Using the Trader Pressure Index (TPX) in trading
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TPX can be valuable in showing well-supported (up or down) price moves that may lead to a strong trend that we can ride (when the pressure value is above the control level) - see exampled above
TPX is also valuable in showing when there’s “lack of interest” from the buyers or the sellers (or both) – which is great in exploring chub or no-trade zones - so basically when to avoid trading.
As usual, it's always recommended to use these types of "price action insight" indicators in conjunction with other trend and momentum indicators (moving averages, MACD..etc), so the insight we gain from them can be properly placed within the broader "context" - and to receive additional confimtion signals to support the trading decision.
I will come back later to post something about how the TPX differs from my recently-posted Strength of Movement (SoM) because they wok completely differently but can be used together with great synergy – and also how the TPX compares to the classic DMI/ADX which uses a similar concept.
Please feel free to integrate in your trading – hope you find this useful - comments and feedback are always welcome
CT Reverse Stochastic Momentum IndexIntroducing the Caretakers Reverse Stochastic Momentum Index .
According to Investopedia :
“The Stochastic Momentum Index (SMI) is a more refined version of the stochastic oscillator, employing a wider range of values and having a higher sensitivity to closing prices.”
The SMI was developed by William Blau and introduced in 1993 in an attempt to provide a more reliable indicator, less subject to false swings.
It calculates the distance of the current closing price as it relates to the median of the high/low range of price.
The SMI has a normal range of values between +100 and -100.
When the present closing price is higher than the median, or midpoint value of the high/low range, the resulting value is positive.
When the current closing price is lower than that of the midpoint of the high/low range, the SMI has a negative value.
I have reverse engineered the SMI formula to derive 2 functions.
One function calculates the chart price at which the SMI will reach a particular SMI scale value.
The second function calculates the chart price at which the SMI will crossover its signal line.
I have employed those functions here to give the price level where the SMI will equal :
Upper alert level ( default 40 )
Zero-Line
Lower alert level ( default -40 )
Signal line
The user can infer from these values that when closing prices cross the levels shown, the SMI will cross the indicated level or signal line.
If the price value is less than zero the value will show "impossible".
The advantage of knowing the exact prices that this will happen should give the user an additional edge and precision in risk management.
These crossover levels are displayed via an optional infobox with choice of user selected info.
There is an option to change the decimal places shown.
For easy and intuitive reading of the indicator when ….
SMI is above the signal line both the SMI and Signal line and the space between them is Green.
SMI is below the signal line both the SMI and Signal line and the space between them is Red.
SMI is above the Zeroline the space between them is Green.
SMI is below the Zeroline the space between them is Red.
Traditionally traders and analysts will consider:
Positives values above 40 indicate a bullish trend
Negative values below -40 indicate a bearish trend .
Common traditional ways to derive signals from the SMI :
When the SMI crosses above the zeroline, a buy signal is generated.
When the SMI crosses below the zeroline, a sell signal is generated.
When the SMI crosses below -40 and then moves back above it, a buy signal is generated.
When the SMI crosses above +40 and then moves back below it, a sell signal is generated.
When the SMI line crosses above the signal line. A signal to buy / take profit is generated
When the SMI line crosses below the signal line. A signal to sell / take profit is generated.
Traders also look for divergences between the SMI itself or the SMI histogram and price action.
The SMI is often used in conjunction with the Chande Momentum Oscillator or R squared indicator to determine overall market trendiness where the SMI is used to determine the direction of the trend, and also with volume indicators to show if the momentum carries significant selling or buying pressure.
Disparity Index Optimized for BTC_USD by M.YALCINThe disparity index measures the relative position of an asset's most recent closing price to a selected moving average and reports the value as a percentage.
A value greater than zero—a positive percentage—shows that the price is rising, suggesting that the asset is gaining upward momentum. Conversely, a value less than zero—a negative percentage—can be interpreted as a sign that selling pressure is increasing, forcing the price to drop. A value of zero means that the asset’s current price is exactly consistent with its moving average.
The disparity index is a momentum indicator that indicates the direction an asset is moving relative to a moving average.
Large moves in either direction for the index may foreshadow that a price correction is ahead, i.e., whether the asset is overbought or oversold.
MrBS:Directional Movement Index [Trend Friend Strategy]This goes with my MrBS:DMI+ indicator. I originally combined them into one, but then you cannot set alerts based on what the ADX and DMI is doing, only strategy alerts, so separate ones have more flexibility and uses.
Indicator Version is found under "MrBS:Directional Movement Index " ()
//// THE IDEA
The majority of profits made in the market come from trending markets. Of course there are strategies that would say otherwise but for the majority of people, THE TREND IS YOUR FRIEND (until the end). The idea is to follow the trend, entering once it has established its self and exiting positions when the trend weakens. This strategy gives a rough idea of the returns produced from following purely the ADX signals. At first Heikin Ashi values were used for the calculation but the results show it's not that effective. The functionality to switch between calculation types has been left in, so we can uses HA candle data to generate signals from while looking at an OHLC chart, if we want to experiment. Due to the way strategies work, we are unable to get reliable results when running the strategy on the HA chart even if we are calculating the signals from the real OHLC values. It is best to always run strategies on standard charts.
When using this strategy, I look for confirmation of the signal based on stochastic (14:3:6) direction, reversal level of stochastic, and divergance, to add confidence and adjust position size accordingly. I am going to try and code some version of that in future updates, if anyone can help or has suggestions please drop me a message.
//// INDICATOR DETAILS
- The default settings are for optimized Daily charts, for 4 hour I would suggest a smoothing of 2.
- The default values used for calculation are the Real OHLC, we can change this to Heikin Ashi in the menu.
- The strategy enters a position when ADX crosses the threshold level, and closes the position when ADX starts to fall.
- There is a signal filter in the form of a 377 period Hull Moving Average, which the price must be above or bellow for long and short positions respectively.
- The strategy closes the position when a cross-under of the ADX and its 4 period EMA. This is an attempt to stay into positions longer as sometimes the ADX will fall for 1 bar and then keep rising, while the overall trend is strong. The downside to this is that we exit trades later and this affects our max drawdown.
