Jigga - Relative Strength - SectorsHi All !!
I came across relative strength concept from below indicator.
Indicator Name: (Relative-Strength by modhelius)
Note: Sorry !! Could not add indicator url here.
Formula:
RelativeStrength = (sectorValue / sectorValue ) / (indexValue / indexValue ) - 1 * 100
I used same concept and combine all sector's relative strength against Nifty50 index.
How to use:
You can change length based on your convenience and show/hide sectors.
Indicator will show strength line for that sector.
you can use this to identify momentum stocks.
상대강도지수 (RSI)
BB+RSI+EMA BUY/SELL SignalsBINANCE:BTCUSDT
* * * TESTED ON BTCUSDT 4H CHART * * *
The indicator gives signals based on candles touching BB lines and RSI oversold/overbought conditions, also a 200 EMA filter is used to trade following the major trend.
Only LONG signals are given.
Signals are divided in 3 categories based on their strenght:
- Weak BUY/SELL (green/red circles on chart)
- normal BUY/SELL (green/red triangles with "BUY" or "SELL" text on chart)
- strong BUY/SELL (green/red labels with "STRONG BUY" or "STRONG SELL" text on chart)
You can use signals from the same category as triggers for entering or exiting a trade or you can try using signals from different categories
All indicators settings can be costumized
Every signal label can be turned ON/OFF
EMA that changes color based on last candle close can be turned ON/OFF
Alerts can be set for:
- General Signals (every signal will trigger it)
- Weak Signals (only weak signals will trigger it)
- Normal Signals (only normal signals will trigger it)
- Strong Signals (only strong signals will trigger it)
CDC ActionZone Multi-TF,Mult-Ticker with alert() [P-O-Concept]This is proof-of-concept for using single screen displaying triggering signal of multiple stock/crypto
This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
1. Original CDC Action Zone v3 2020 by © piriya33
Source of original indicator :
2. Table concept/part of code is pulled from Portfolio Tracker
***************************************************************************
CDC Action Zone is based on a simple EMA crossover between EMA12 and EMA26
The zones are defined by the relative position of price in relation to the two EMA lines
Different zones can be use to activate / deactivate other trading strategies
The strategy can also be used on its own with acceptable result, buy on the first green candle
and sell on the first red candle
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Hint Color Meaning :
Green = FastMA > SlowMA and Price is above FastMA
Blue = FastMA < SlowMA and Price is above both MA
LightBlue = FastMA < SlowMA and Price is between both MA
Red = FastMA < SlowMA and Price is below FastMA
Orange = FastMA > SlowMA and Price is below both MA
Yellow = FastMA > SlowMA and Price is between both MA
Blue/LightBlue/Orange/Yellow should be used with another indicator (such as divergent or so)
Cautions:
- This indicator is not meant to be used as "Signal" or "Trading System"
- This indicator provide a quick-glimpse to multiple ticker in same screen. You'll still have to see indications using original CDC Action Zone (If you're using with CDC System), or combining with another indicator (For shorter tf or scalping, or short/long cover)
- Up to 10 Tickers / Timeframe + Current ticker
Alert Creation Guideline
If this indicator will be used as alert. The timeframe for ticker should be set to "same as" the chart you're using, ie, to set alert on 4h, it should be created in 4h-timeframe (Alert is fired on bar close, using 1D-TABLE in 4H-CHART may trigger alert up to 6 times. else if using in 4H-TABLE in 1D-CHART the alert may not trigger at all)
Considering using ohlc4, hlc3, hl2 for market with no session
PS. Send me a message if you see any bug. (especially if using JSON, I have no chance to test with multiple alert at same tick.)
RSI & Stoch MultiTimeThis indicator renders a table with 2 rows and 7 columns displaying the values of RSI and Stoch over different time periods. This works best on 1m charts due to a bug with the time periods I haven't yet solved.
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.
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.
MTF RSI-MFIThe script plots both RSI and MFI of security, automatically highlights oversold and overbought conditions and allows for calculating indicators on timeframes other than the chart.
RSI Multi TF strategy
The RSI is a very popular indicator that follows price activity.
It calculates an average of the positive net changes, and an average
of the negative net changes in the most recent bars, and it determines
the ratio between these averages. The result is expressed as a number
between 0 and 100. Commonly it is said that if the RSI has a low value,
for example, 30 or under, the symbol is oversold. And if the RSI has a
high value, 70 for example, the symbol is overbought.
Plots 3 RSI (Weekly, Daily, 4h) at the same time, regardless of the Chart Timeframe.
Highlights in green (or red) if all RSI is oversold (or overbought).
Can trigger custom oversold and overbought alerts when all 3 lines grey(4h), yellow(weekly), and red(daily) go in the oversold or overbought zone. The strongest the curves break the barrier the strongest the alert (vertical red and green bars) shows.
Data Trader Stoch | RSI | MACD Strategy IndicatorImplementation of Data Trader's strategy, described in the youtube video, "Highly Profitable Stochastic + RSI + MACD Trading Strategy (Proven 100x)"
Also see Algovibes' video, "Highly Profitable Stochastic + RSI + MACD Trading Strategy? Testing Data Traders strategy in Python"
Note: Despite the claims, it generates barely, if any, signals, certainly in the crypto markets
If there are any mistakes, give feedback in the comments, and I'll fix
### Strategy Summary ###
# Long Signals #
Stoch K and D are oversold
RSI above midline
MACD above signal line
# Short Signals #
Stoch K and D are overbought
RSI below midline
MACD below signal line
# Stop loss and Take Profit #
Stop loss
Longs: below last swing low
Shorts: above last swing high
Take profit at 1.5x stop loss
Stochastic RSI Heat Bollinger BandsThis indicator is based on a combination of the famous Bollinger Bands and the Stochastic RSI indicator.
Bands are dynamically colored (and filled) with a RGB color composed by red and green values, directly generated from the average Stochastic RSI current value.
By default, colors represent the following status -> green zone is overgought & red zone is oversold.
A screener is also displayed on the chart, representing StochRSI K and D lines values, RSI value, as well as the current status (Overbought/Oversold) of the StochRSI and RSI indicators.
Notes:
The heat color and the screener status are both based on the average value between the K and D lines (for stochastic RSI based heat)
Bands can be disabled in options to use this indicator as a simple moving average colored by the Stochastic RSI heat color.
Options:
Various moving average types (SMA, EMA, SMMA, VWMA...)
Inversion of colors between overbought and oversold status
Enabling/disabling heat color on bands / basis line and bands background color
Show/Hide the screener
Color source can be modified to base the heat on the RSI instead of the Stochastic RSI value
Standards Bollinger bands, Stochastic and RSI parameters
Example
Feel free to suggest any improvements in comment.
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.
***
RSI CrayonsThis simple script colors candles based on the Relative Strength Index. RSI Values > 50 are solid colors, RSI values < 50 are pastels, with additional colors/fills/alerts for overheated and oversold (both user adjustable thresholds) conditions.
As an added bonus, RSI can be calculated by non-traditional methods (not using the running/smoothed moving average) using a variety of different moving averages, but you may have to adjust the time-frame for 'faster' moving averages. An option for plotting the moving average basis is also available.
Value Added:
This indicator can be used to chart RSI without adding an "oscillator frame" to your chart, since we don't normally care too much about RSI values between 30 and 70 under normal conditions.
RSI StrategyThis RSI strategy is different than most in that it doesn't pick a buy signal based on the RSI rising above a specific number (usually 30). Instead, it creates a 14 day exponential moving average of the Relative Strength Index and uses the following two conditions together to trigger a buy:
Entry conditions:
Condition1: Rising of the RSI's moving average for (user defined) candles in a row
Condition 2: The RSI is < 70
The reasoning behind condition 1 is that we are trying to buy into a rising trend, the moving average helps to confirm the trend, whereas the RSI rising above a specific number (usually 30) gives us no real indication that the asset will increase and produces less wins overall. The reasoning behind condition 2 is to avoid buying at the top of a climb.
Exit conditions:
Condition 1: The RSI moving average is falling
Condition 2: Close < Trailing stop activation Level
Condition 3: We have at least (user defined) % profit
The reasoning behind sell condition 1 is a falling RSI moving average (down trend starting). The close has to be under the trailing stop activation level, if we've triggered the trailing stop, we want the trailing stop to do it's job and not exit the trade until the trailing stop takes us out. The reasoning behind condition 3 is to not exit without at least some profit (user defined).
ATR-Adjusted RSIThis indicator adjusts the RSI values using the Average True Range. It is used the same way as a normal RSI.
RSI c/w MA, ADX and ATR data I have added 3 items to the RSI indicator which helps me to get more information at the same time.
1) ADX value - when ADX is above 25 we have a strong trend
2) ATR Value - helps me to calculate my daily targets and stop-loss levels at a glance.
3) A simple moving average - This shows me the trend of RSI. If the price breaks a trend line and at the same time RSI crosses above the MA, it shows me a breakout has happened. In longer timeframes, it can show you in advance if you should expect a reversal in the trend.
You can turn on or off the MA as well as the ADX line.
RSI MACD Same RatioこのインジケータはRSIとMACDを同比率で表示するものです。
なぜ同比率で表示するのでしょうか。
同比率で表示することでRSIとMACDのダイバージェンスを同時に確認することができます。
私には思いつきませんが、他にも使い道はあるかもしれません。
必要と感じた場合はぜひ使ってみてください。
※同比率で表示するためにRSIとMACDの値を変更しています。
そのため、値はあくまで参考程度にご覧ください。
注目すべきはラインのみです。
使う場合は「adjustment ratio」に適当な値を入れて、RSIの比率とMACDの比率を合わせてください。
それでは良いトレードライフを。
-----
This indicator shows RSI and MACD in equal proportions.
Why are they displayed at the same ratio?
By displaying at the same ratio, you can check the divergence of RSI and MACD at the same time.
I can't think of it, but there may be other uses.
If you feel it is necessary, please use it.
caution!
The RSI and MACD values are changed to display the same ratio.
Therefore, please see the values for reference only.
Only the line should be noted.
When using it, enter an appropriate value in "adjustment ratio" and match the RSI ratio with the MACD ratio.
Let's have a good trade life.
MACD With Crossings and Above Below ZeroMACD with MACD Derivative, Crossings Above and Below Zero, Shading for ADX Smoothing and Overlayed RSI
Primarily a moving average convergence divergence (MACD) momentum indicator. Also includes a MACD Derivative overlay to show when momentum has peaked. Displays triangle symbols when the MACD line crosses the signal line (larger triangle when MACD crosses above/below zero to indicator stronger momentum trend). Includes shading for average directional index (ADX) to futher determine when the price is trending strongly (red when the ADX value is greater than 25, and idicating a strong trend; otherwise blue). Lastly, has a relative strength index (RSI) momentum indicator overlayed to help evaluate periods of overbought or oversold conditions.
RSI Linear Regression with ZigZag by zdmreBoth the RSI (Relative Strength Index) and the Linear Regression ( LR ) rank among the most popular momentum indicators used in trading. When used in combination with other technical indicators (ZigZag), both RSI, LR and ZigZag can offer value in validating trade opportunities to optimize your risk management practices.
Here’s a look at how to use RSI, LR and ZigZag (Can be used for divergence patterns.) as part of your trade analysis.
If you have new ideas to improve this indicator then let me know please.
***Use it at your own risk
MTF DPO-RSI IndicatorThis indicator uses the principle of taking the RSI of DPO readings across multiple time frames in order to provide trade signals and an overarching view of market conditions to the trader. My hope with creating this indicator was to present more divergence based signals than your typical indicator, while still keeping those signals at a high quality.
In the settings menu, you may specify:
Indicator Timeframe - the chart resolution that is used to calculate values.
Source DPO Length - the number of bars used to calculate the Detrended Price Oscillator value. The DPO value is the source for the RSI calculations.
DPO Hull Smoothing - how much smoothing is applied to the DPO . Smoothing is accomplished by taking a Hull Moving Average of the closing price, and using this to calculate the DPO value.
RSI Length - the number of bars used to calculate the RSI of the DPO value.
Time Multipliers 1 through 6 - use this to define what resolution each plot will represent. A value of 1 will represent the current Indicator Timeframe. A value of 3 will represent 3 times the current Indicator Timeframe, etc.
Show Plot 1 through 6 - toggles the display of plots.
How I trade with this indicator:
A value of under 30 represents an over sold state for that particular plot. A value of over 70 represents an overbought state for that plot.
Identify divergences on a lower timeframe plot which are apparent in overbought or oversold conditions, and confirm the signal with an overbought or oversold condition, or a divergence on a higher timeframe plot. Divergences which begin in oversold or overbought territory and end inside the 30-70 range tend to be more reliable signals, in my experience. Like all indicators, this is best when used in conjunction with other indicators. Trend indicators, such as double EMA's and Supertrend are my favorite pairing, and a stochastic RSI is a good tool to have as well.
This is my first published indicator! If you find unique ways to use it, drop me a message. I'd love to know what you find. :)
RSI Algo (Pinescript v5 + Alerts)Found this the other day and thought it might be useful to have an updated version with alerts:
Credit to the original author.
Williams Fractals BUY/SELL signals indicatorThis indicator made with using Williams Fractals, 20 50 100 Moving Averages and Relative Strength Index. You can easily find entry points by using Long (L), Short (S) signals.
This is a 15min scalping strategy for BTC:USDT Perpetual pair. For use different pairs or TFs you may need to change settings.
How to use
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When flashing Long (L) or Short (S) signal you should wait until the candle closing for the confirmation.
After that candle closed with the signal, you can enter a trade in next candle opening.
Your SL should be 3.1% from etnry and TP should be 0.5% from entry for best results. (You can use Long Position / Short Position tool in Prediction and Measurement Tools in drawing pannel to calculate this. This settings only for BTC:USDT Perp 15 min TF. For other TFs or Pairs settings may vary. You can easily change these settings and backtest your own.)
After entering a trade you can be ignored next signals until close the trade.
To learn more about this strategy, please try the "Williams Fractals Strategy" I coded. Thank you!
Relative Strength ComparisonThis script plots the ratio between a ticker and the selected index. Currently, I have US equities indexes listed + BTC. It's a great way to check for relative strength, determine if absolute highs relative to the ratio are being made, etc.
Additionally, optional comparison of the RSI is included. I was just testing something out but figured I'd leave in here because why not. If you use this, enable the 1.0 line.
Script is a bit slow, will try to optimize eventually.
Cumulative RSI StrategyI suppose nothing drives a point home like a 10+ year backtest! A couple of weeks ago I published a custom indicator called the Cumulative RSI. This indicator was straight out of chapter 9 of "Short Term Trading Strategies That Work." Today I am publishing a basic sample strategy in that uses the Cumulative RSI as its only entry and exit signals on a Nasdaq 100 leveraged index ETF (TQQQ). In this example, the indicator is being used as a longer term strategy with just 10% leverage over the account equity and a $25k start balance.
If I had it 10 years ago I would probably be retired! I'm sharing because I've found that it can provide an edge when determining exit/take profit points for trades. Many traders wait for a price reversal / trailing-stop to exit a trade when it starts losing. I've found that, using tools like the Cumulative RSI, you can achieve better exit points over the long term. Disclaimer: Even though this example significantly beats buy and hold, I wouldn't advise using it as a stand-alone strategy without significant additions/modifications to strategy and risk management functions.
