Easy RSI by nnamWhat Does this Indicator Do?
The Easy RSI Indicator color codes candles based on their RSI Value vs. Open / Close (Red / Green). It plots the current price and current RSI value on the chart in real-time. Additionally, when the RSI Value is in an oversold or overbought condition, it plots that signal on the chart in real-time.
The initial candle color is the standard Red / Green Tradingview color, but a Gradient is added to the color which either darkens or lightens the color based on the RSI Value.
As seen in the screenshot below, the higher the RSI Value, the brighter the Green Color is. The lower the RSI Value, the brighter the Red Color is.
The current Price and current RSI Value are both plotted on the chart by default, but can be optionally switched off by the trader.
As seen in the screenshot below, the prices and RSI Values are easily seen while visually tracking the price in real-time.
RSI Overbought Values are plotted when the Overbought condition is triggered. The Default is RED for Overbought and GREEN for Oversold.
As seen in the screenshot below, with all three labels turned on under the input settings (these are ON by default) you can see the overbought condition, the current RSI Value, and current price all in one centralized area. Oversold Values are also plotted when turned on under the input settings.
As shown in the screenshot below, the candle is GREEN (as evident by the green candle outline) but the RSI Value is low and shows lower than average relative strength. This turns the bar color ORANGE vs, GREEN showing that the relative strength of the move is subpar.
As shown on the screenshot below, if the trader has the standard Tradingview Price label switched on (in the Tradingview Chart Settings), the color of the bar is also translated to the price are for an easy to recognize RSI Value just by looking at the price. Even if the current candle is RED, when the RSI is higher than lower, the color will be green / greenish and even if the current candle is GREEN, when the RSI Value is lower than higher, the color will be red-ish / orange in color giving the user a quick view of RSI Value.
If you have any questions or feature requests for this Indicator please do not hesitate to reach out and ask.
GOOD LUCK trading!!
~nnamdert
Relativestrength
Currency Strength [LuxAlgo]The Currency Strength indicator displays the historical relative strength of 5 user selected currencies over a user selected period of time. Users can also display relative strength of currencies as a scatter plot, further informing on the evolution of currency strength.
🔶 SETTINGS
Display: Determines the type of data displayed by the indicator. By default, the trailing relative strength of currencies is displayed, with the other option displaying the scatter plot.
Timeframe: Timeframe period used to calculate currency relative strength.
🔹 Meter
Show Strength Meter: Displays the currency strength meter on the indicator panel.
Strength Meter Resolution: Resolution of the currency strength meter, higher resolutions allow to observe smaller difference in strength.
Location: Location of the currency strength meter on the indicator pane.
Size: Size of the currency strength meter.
🔹 Relative Strength Scatter Graph
Scatter Graph Resolution: Horizontal and vertical width of the scatter plot (in bars). Higher values allow a more precise position on the X axis.
🔶 USAGE
Measuring the relative strength of a currency allows users to assess the relative performance of a currency against a basket of other currencies.
The term "strength" can convey various interpretations depending on the indicator. Here "strength" is interpreted as an indicator of performance, with stronger currencies having greater performances over the selected period (positive changes of higher magnitude).
The Currency Strength indicator allows users to analyze the relative strength of currencies over a user selected period - the returned results will reset periodically and will accumulate afterward.
The above chart shows the hourly relative strength of various currencies on the 1min TF.
🔹 Scatter Graph
The scatter graph displays the relative strength of a currency over its value during the previous period. This not only allows users to see if a currency is strong... but also if it's getting stronger compared to the previous period.
In order to quickly interpret results, the graph is divided into four areas. A currency (displayed as a point) being in a specific area returns the following information:
Strong(Green): Currency has a positive relative strength (bullish) and is greater than its value over the previous period.
Improving (Yellow): Currency has a negative relative strength (bearish) and is greater than its value over the previous period.
Weakening (Aqua): Currency has a positive relative strength (bullish) and is lower than its value over the previous period.
Weak (Red): Currency has a negative relative strength (bearish) and is lower than its value over the previous period.
🔶 DETAILS
There is a wide variety of methods for the calculation of a currency's relative strength. The primary focus of the indicator is on the meter as well as the relative strength scatter graph. The currency strength calculation can be considered more basic.
Given two currencies, B (base) and Q (quote), the proposed indicator calculation process is as follows:
Exchange rate BQ(t) over time t is obtained, a rising value of BQ(t) means that a unit of B is now worth a higher amount of Q , highlighting strength of B over Q on that precise variation.
The individual relative strength over time IRS(t) is obtained as the percentage relatively close to the open difference of BQ(t) , that is:
IRS(t) = / open(t) * 100
Normalizing the close to open difference allows for the various currencies' relative strengths to approximately share the same scale.
The above operation is performed n times over a space of n currencies O( n ) . The obtained individual relative strengths for one specific currency are then added together, forming the final composite relative strength ( CRS ) of that currency:
CRS (t) = IRS (t) + IRS (t) + ... + IRS (t)
The cumulative sum of CRS(t) over the user selected period is then obtained.
Stock Relative Strength Power IndexAs always, this is not financial advice and use at your own risk. Trading is risky and can cost you significant sums of money if you are not careful. Make sure you always have a proper entry and exit plan that includes defining your risk before you enter a trade.
This idea recently came out of some discussions I stumbled across in a trading group I am a part of regarding Relative Strength and Relative Weakness (shortened to RS and RW from here on out). The whole mechanism behind this trading system is to filter out underperforming securities relative to the current market direction to be in only the strongest or weakest stocks when the market is currently experiencing a bullish or bearish cycle. The idea behind this is there is no point in parking your money into a stock that is treading water or even going down if the market is making strong moves upwards. At that point, you are at worst losing money, and at best trading equal to the index/ETF, in which case the argument is why are you not just trading the index/ETF instead? RS or RW will filter out these sector laggards and allow you to position yourself into strong (or the strongest) stocks at any given time to help improve portfolio performance. Further, not only does it protect your position should the market shift against you briefly, it also often sees exceptional performance in the same cycle. For example, if $SPY makes a 5% move over the course of a month, a stock with RS/RW may make a 10% move, or more, allowing you to see increased profit potential.
RS/RW is based on the idea of performance, that is the raw percent change of a security over a given time period relative to a benchmark. This benchmark is often the S&P500 (ES/SPX/SPY and their derivatives). I have to stress that this is not beta, which measures the volatility of a stock over a given period (i.e. if $SPY moves $1, $NVDA will often move $1.74). This is a measurement of the market (i.e. $SPY) has moved 1% over the course of a day, $NVDA has moved 8% over the course of the day. This is very often used as a signal of institutional interest as apart from some very unique moments, retail traders cannot and will not provide enough market pressure to move a market outside of a stock's normal trading range, nor will they outperform the sector or market as a whole consistently over time without some big money to make them move. The problem with running strict performance analysis (i.e. % change from period T ago to period T + n at present) is that while it gives us a baseline of how much the stock has moved, it doesn't overall mean much. For instance, if a $100 stock has moved 5% today, but has been experiencing a period of increased volatility and it's Average True Range (ATR) (the amount a stock will move over X number of periods, on average) is $7, performance seems impressive but is actually generally fairly weak to what the stock has been doing recently. Conversely, if we take a second stock, this time worth $20, and it too has moved 5% in one day but has an ATR of only $0.25, that stock has made an exceptional move and we want to be part of that.
Here, I have created an indicator called the Stock Relative Strength Power Index. This takes the stock's rate of change (ROC) (the % move it has made over X number of periods), the stock's normalized ATR (the ATR represented as a percentage instead of a raw value), and compares these to one another to get the "Power Rating": a representation of the true strength of a stock over X number of periods. The indicator does two things. First, the raw ROC is divided by the stock's normalized ATR to assess whether the stock is moving outside of its normal range of variation or not. Second, since we are interested in trading only stocks with exceptional RS/RW to the market, I have also applied this same calculation to the S&P500 ($SPY) and the various SPDR sector indexes. These comparisons allow for a rapid and accurate assessment of the true strength of a stock at any given time on any given time frame. To cycle back above to our examples, the $100 stock has a Power Rating of only 0.71 (i.e. it is trading less than its current average), while our $20 stock has a Power Rating of 5. If we then compare these to both the market as a whole and the sector that the stock is a part of, we get a much clearer indication of the true buying or selling pressure imposed on the stock at any given time.
Use:
The indicator has 3 lines. The blue line is the security of interest, the red line is the market baseline (i.e. the sector ETF $SPY), and the white line is the sector index. I have given an example above on the semiconductor/tech stock $NVDA on a 30min timeframe. You can see that since the start of 2023, $NVDA has generally been strong to the market and its own sector since the blue line is greater than both the red and white lines over many days. This would have provided some nice day trading opportunities, or even some nice short term swing trades. The values themselves are generally meaningless outside of either the 1 or -1 value lines. All that matters is that the current ticker is surpassing both the market and the sector while being > 1.0 for a long trade or less than -1.0 for a short trade. However, I must stress this indicator gives no trade signals on its own, it is purely a confirmation indicator. An example of a trade would be if you had a trade signal given by either an indicator or by price action suggesting to buy some $NVDA for a trade to the upside, the Power Rating indicator would confirm this by showing if $NVDA was actually showing true strength by being both greater than 1 (the cutoff for it surpassing its ATR) and being above both the red and white lines. Further, you can see $NVDA has been stronger than the market when using the comparison function as well, but the has fluxed in and out of strength intraday when using the actual indicator vs. the static performance ratio chart (plotted as line graphs on the chart).
I have made it possible to change the colour of the plots and the line levels. The adjustment of the line levels gives the trader the flexibility to change their target breakout level (i.e. only trading stocks that have a Power Rating > 2, for example, meaning they are trading at least 2X their normal trading range). The third security comparison is flexible and can be used to compare to the sector ETF (initial intention) or it can be used to compare to other tickers within the same sector, for example. The trader should select the appropriate ETF for the given security of interest to avoid false confirmation if they want to use an ETF as their third input. The proper sector should be readily available on most online websites and accessible in a matter of seconds meaning that the delay is minimal, at worst. If a trader wishes to add additional functionality, such as a crypto trader using BTCUSD as the benchmark instead of $SPY, I encourage them to copy and paste this script and modify as needed since I have made this open source.
This indicator works on all timeframes. The lookback period can be changed, so a day trader who may use a 5min chart (and use a period of 12 to get the hourly Power Rating) will find this equally useful as someone who may be a core trader who wants to look at the performance over the course of years and may use a 60 period on a monthly chart.
Happy trading and I hope this helps!
RSI Pull-BackA pull-back occurs whenever the price or the value of an indicator breaks a line and comes back to test it before continuing in the prevailing trend.
The RSI has oversold and overbought levels such as 20 and 80 and whenever the market breaks them returns to normality, we can await a pull-back to them before the reversal continues.
This indicator shows the following signals:
* A bullish signal is generated whenever the RSI surpasses the chosen oversold level then directly shapes a pull-back to it without breaking it again.
* A bearish signal is generated whenever the RSI breaks the chosen overbought level then directly shapes a pull-back to it without surpassing it again.
DRM StrategyOne of the ways I go when I develop strategies is by reducing the number of parameters and removing fixed parameters and levels.
In this strategy, I'm trying to create an RSI indicator with a dynamic length.
Length is computed based on the correlation between Price and its momentum.
You can set min and max values for the RSI, and if the correlation is close to 1, we'll be at a min RSI value. When it's -1, we'll be at the max level.
I got this idea from Sofien Kaabar's book.
The strategy is super simple, and there might be much room for improvement.
Performance on the deep backtesting is not excellent, so I think the strategy needs some filters for regimes, etc.
Thanks to @MUQWISHI for helping me code it.
Disclaimer
Please remember that past performance may not indicate future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
RSI and MA with Trailing Stop Loss and Take Profit (by Coinrule)The relative strength index is a momentum indicator used in technical analysis. It measures the speed and magnitude of a coin's recent price changes to evaluate overvalued or undervalued conditions in the price of that coin. The RSI is displayed as an oscillator (a line graph essentially) on a scale of zero to 100. When the RSI reaches oversold levels, it can provide a signal to go long. When the RSI reaches overbought levels, it can mark a good exit point or alternatively, an entry for a short position. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
A moving average (MA) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range. Essentially it is used to help smooth out price data by creating a constantly updated average price.
The Strategy enters and closes trades when the following conditions are met:
Entry Conditions:
RSI is greater than 50
MA9 is greater than MA50
RSI increases by 5
Exit Conditions:
Price increases by 1% trailing
Price decreases by 2% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
(CD|RS Signal) Caruso Divergence Relative Strength SignalCD|RS Signal allows for plotting horizontal bars to isolate periods where a security is forming a positive divergence from its benchmark, therefore, producing positive Relative strength when accounting for the security's volatility.
Investors can set how many 'pivots' or lows back to use when making an analysis. CD|RS Signal has an algorithm to identify pats market lows and automatically line them up with a stock's low around the same period of time. This allows for divergence analysis across many past lows and helps to isolate positive price divergences that are not so clear in choppy sideways trading action. CD|RS Signal helps an investor to identify when a security does not make a lower low vs a benchmark that has made a lower low over a similar period.
To help visualize the meaning behind the indicator, CD|RS Signal can be plotted in a separate pane, ideally over the benchmark itself. Traditionally the S&P500 is used for US stock analysis. By overlaying CD|RS Signal over the S&P 500, investors can more easily view which S&P 500 lows the stock is currently showing a positive divergence with.
This indicator allows you to select both your benchmark for comparing against as investors may prefer a commodity crypto currency or another stock. As well, users cans elect as far back to make the analysis by selecting the pivot lookback (how many prior ‘pivots’ or ‘market lows’ back to compare against).
In addition, to perform the historical study, investors can turn on historical HLs in the settings enabling all past CD|RS signals to show. This helps an investor to visualize how this has functioned on a security in the past.
(CA|RS Signal) Caruso Adaptive Relative Strength Signal CA|RS Signal is a new approach to relative strength analysis that incorporates a security’s volatility and correlation to a benchmark when performing RS analysis. Traditional RS methods compare the performance between two securities to identify which is outperforming on a percentage basis. although this is effective in many situations, some stocks are inherently less volatile and will not outperform a benchmark on a percentage basis. Accounting for a security's volatility and correlation to its benchmark through BETA allows for a more effective method to conduct RS analysis.
In order to build a tool that provides a robust signal, CA|RS Signal is a composite of RS from different time frames. The strongest trends have a security displaying RS across all timeframes measured. CA|RS Signal displays whether RS is identified along with how many internal components are currently identifying RS. This is helpful as a trend may progress from 3 components identifying RS down to only one as it wekas - providing early warning to an investor that RS is present but deteriorating.
CA|RS Signal is also adaptable to any time frame.
CA|RS Signal allows an investor to select which security will act as a benchmark. Traditionally, the S&P 500 is the benchmark for US stocks. International investors can select their local index of choice. Not equity investors can select a commodity, crypto token, or FX basket to get a different RS analysis.
(CD|RS) Caruso Divergence Relative StrengthCaruso Divergence Relative Strength (CD|RS) helps an investor to identify when a security does not make a lower low vs a benchmark. The standard application is to compare a stock to the S&P 500 (SPX). If the SPX makes a lower low and the stock does not, it displays significant Relative Strength.
This indicator allows you to select both your benchmark for comparing against as well as how far back to make the analysis by selecting the pivot lookback (how many prior ‘pivots’ or ‘market lows’ back to compare against).
Divergences can appear when markets are weak, and they make lower lows, but they can also appear in uptrends as stocks and indexes make higher highs. CD|RS also identifies when RS takes place “On Strength.” If the security and its benchmark both decline but the security can make new highs above its prior peak before the benchmark, it is once again displaying relative strength. Therefore CD|RS is helpful in finding Divergence Relative Strength in both up and down trends.
CD|RS works on any timeframe.
CD|RS has an accompanying indicator called CD|RS Signal which helps display the divergence in a different format and can be placed in a separate pane if the user wishes to keep the price chart clean.
(CA|RS) Caruso Adaptive Relative StrengthCaruso Adaptive Relative Strength helps an investor identify when a stock is performing better than an index on a relative basis. Going beyond traditional Relative Strength(RS) methods, CARS uses a stock's Beta to determine when Relative Strength is present when adjusting for the individual stock's volatility and correlation to its benchmark. Therefore, it allows investors to not only visualize if a stock is outperforming an index but rather if it is outperforming when considering the stock's Beta. This allows Relative Strength to be more easily viewed in lower volatility equities as well as ETFs, Commodities, and alternative assets. To be as effective as possible, I have built CARS to be an RS composite, and it factors in RS from different time periods in making its calculation.
To make the application as simple as possible, I designed CARS to change the background of the chart to blue when Relative Strength is identified. You also have the option to display a box around the data or plot symbols along the bottom of the chart to best suit your visual need. CARS access comes with CARS Signal access which is a separate indicator that plots below the price chart. It provides greater insight into the robustness of the CARS signal by displaying how many core internal components of CARS are displaying RS.
Importantly, you can also change which index or symbol you would like to use for comparison purposes. I have the default set to the S&P 500, but you can use any index, ETF, or security for comparison.
CARS is also adaptable to any time frame.
The greatest benefit in identifying Relative Strength is to discover which stocks are outperforming an index, therefore are undergoing accumulation. It is important to then time your entry into the stock when the price confirms. If an investor is seeking absolute price gains, then this last point of timing an entry is critical because a stock can outperform an index yet still fall - albeit less than the index.
Relative Strength/Weakness ArrowsHello everyone,
This Script is designed to show relative strength or relative weakness. It takes the stock your looking at and compares it to the sector it is in and to SPY. It evaluates strength or weakness on every candle. In this specific script it is only designed for the communications sector(XLC), so all the names I have inputted into the script fall within XLC. It works for all timeframes. It really helps me stay in trades longer as even though stock might be consolidating it can still be weak, making me more confident in holding. Each green arrow shows that the stock is relatively strong compared to SPY and its SECTOR, in this case, XLC. Each red arrow means that the stock is relatively weak to the market and its sector. When there are no arrows on the candles, then the stock is following the market and its sector. Tell me what yall think.
Just add it to your chart, go to any of the stocks within XLC and it will populate arrows based on relative strength and relative weakness. The weakness and strength is based on movement of price using ATR. So if the price of the stock is moving up and so is the sector it will only populate based on how large the move is. So if SPY had ATR of 1 and it moved up .50c that means the stock you're looking at would need to move more than .50c in the same candle if it also had an ATR or 1.
You can add or delete tickers in the code by going to the list of symbols and adding or removing them. Just remember that if you add a stock that doesn't fall within XLC then the arrows wont represent strength/weakness properly.
RSI DivergenceWhat is "RSI Divergence"?
"RSI Divergence" is a indicator that find RSI divergence automatically.
What it does?
When it finds an RSI divergence, it draws a line on the indicator.
How it does it?
The lines are found using the least squares method. If the signs of the linear regression on the graph and the linear regression plotted on the RSI are different, this is considered divergence.
How to use it?
RSI lenght = RSI lenght
source = source of RSI
RSI Divergence Lenght = lenght of lines that draws on indicator
zoom = zoom
examples:
RSI Objective LinesThe RSI is a contrarian indicator bounded between 0 and 100 where values close to the area of 30 represent an oversold condition and values close to the area of 70 represent an overbought condition.
Generally, we use the area of 70/75 and the area of 30/25 as extremes that signal a market reversal or a correction. But what if we calculate a simple way to make these levels more dynamic?
The main idea from these objective support and resistance levels is that market regime and dynamics move and as such fixed levels are unlikely to always provide value which means that we can try creating variable levels. The objective support and resistance levels are created following these steps:
* Calculate a 14-period RSI on the close price, let's call this RSI_Close.
* Calculate a 14-period RSI on the high price, let's call this RSI_High.
* Calculate a 14-period RSI on the low price, let's call this RSI_Low.
* Calculate the maximum range which is the highest value of RSI_High in the last 200 periods minus the lowest value of RSI_Low in the last 200 periods. Let's call this Max_Range
* Define the range width. By default, it is set to 5%. Let's call this Threshold.
* The objective support is calculated as the sum of the RSI_Low + (Max_Range * Threshold).
* The objective resistance is calculated as the sum of the RSI_High - (Max_Range * Threshold).
The levels are used in the same way as the oversold and overbought levels. They are more dynamic as they take into account the fluctuations of the RSI so you might see at some point in time a support at 20 and at another at 35.
Simple RSI and SMA Long and Short (by Coinrule)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 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.
A simple moving average ( SMA ) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range.
The Strategy enters and closes the trade when the following conditions are met:
LONG
SMA100 is greater than SMA150
RSI is greater than 50
SHORT
SMA100 is less than SMA150
RSI is less than 50
When a long position is opened, it remains open until the conditions for a short are met at which point the long position is closed and the short position is opened. Then, when the conditions for the long position are met, the short will be closed and a long will be opened.
This strategy is back tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
RSI & BB QQE Mod (highlight)This script is a combination of the RSI, QQE and BB
Here is an explanation on how I combined them, and how they are used:
- RSI (Relative Strength Index)
- Display a smoothed version of the RSI to identify "oversold" and "overbought" market phases
- Used to calculate a QQE
- QQE (Quantitative Qualitative Estimation)
- Used to identify trend direction and trend strength
- Used to set a basis for the BB
- BB (Bollinger Bands)
- Used with QQE as a basis to determine a relative definition of "high RSI" and "low RSI"
- Used with QQE as a basis to determine the volatility of the RSI at a given moment
- Used to predict pivot points
Here are the main signals:
- When "RSI Smoothed" line above the Upper BB then "RSI Smoothed" line turns green
- Also , display green background color highlight
- Also , and if "RSI Smoothed" is above the overbought line then display a second green background color highlight
- When "RSI Smoothed" line bellow the Lower BB then "RSI Smoothed" line turns red
- Also , display red background color highlight
- Also , and if "RSI Smoothed" is bellow the oversold line then display a second red background color highlight
A tool codded to be aesthetically pleasing and VERY customisable:
- Designed for both light theme and dark theme users
- Value can be easily modified in the settings
- Colors can be easily swapped in the settings
- Opacity of "fill" & "bgcolor" regrouped as a single input
A tool codded to be easy to read and to learn from:
- Sources and inspirations all listed within the script
- Structure easily identifiable (to understand with little to no effort how the script works)
Notes :
- This script is lagging, because of that I do recommend using it on relatively large timeframe
- This script is OpenSource, feel free to reuse it, but if so please remember to include a link to my script in your sources
- This script is not a magical tool, use at your own risk
Outback RSI & Hull [TTF]This indicator was originally made to help users following along with one of our strategies that we call The Outback (hence the name).
One of the component indicators of that strategy is an RSI with a Hull Moving Average added on top of the RSI as an additional reference for the momentum of the RSI. Many people either had difficulty setting this up correctly, or were having issues with the Indicator on Indicator component, so we built this indicator to assist in that regard.
As we continued to use it, we found it to be a pretty sound momentum indicator that had much to offer by enhancing the more normal RSI, and wanted to make this indicator generally available to the public.
The basic premise of this indicator is as follows:
The core is a traditional RSI with a "normal" (usually Simple) moving average
The "secret sauce" is adding a 2nd moving average (a Hull Moving Average, inspired by Insilico's awesome Hull Suite) based off the RSI
By leveraging the RSI's position relative to both the Simple and Hull moving averages, you can better gauge the relative strength of the current momentum, as well as better visualize longer-term momentum direction and strength based on the moving average slopes and direction.
Double RSI TrendThis is my Double RSI Trend Indicator. It issues Buy and Sell signals based on the Supertrend and a double RSI . The RSIs cross near or at the same time as the Supertrend fires. It has the ability to change if you want signals based on the RSI cross on the same candle, one candle before, and two candles before. I find this one extremely good at catching reversals as long as you filter out some of the signals based on trend.
VARS 2.0: Volatility Adapted Relative StrengthVARS 2.0 (Volatility Adapted Relative Strength)
Basically, my VARS 2.0 indicator uses a stock's alpha in comparison to the SPX to determine whether there is relative strength on an volatility adjusted basis.
The idea for this indicator owes quite obviously to Matt Caruso . In this indicator I combine his Alpha Bars indicator with my interpretation of his CARS indicator, whose calculations are unknown to me.
The goal of this indicator is to give a representation of an asset's relative strength adjusted to its volatility. To find out if this is not only theoretically superior to a more simple representation such as by means of the classic RS Line , but also practically , this indicator is build.
I made this indicator freely available, so that everyone can make up his own mind about it. The representation with the alpha bars also offers the possibility to keep an eye on the daily relative strength, which is a complement to my former version of it. This time I limited myself to only one alpha timeframe because I believe the strength of the RS can be more clearly captured based on the EMAs. I also believe that the absolute strength of VARS is not the key point for traders, but rather its duration, as this is a sign of institutional accumulation.
Have fun and success trying it out!
Btw. The variables such as alpha and beta and the EMAs, which are used to calculate VARS, are largely freely definable. The default values are to be considered as suggestions.
two_leg_spread_diffThis script helps you discern the relative change of each leg in a two-legged spread over a given period. The main plot is a difference in log return over the number of bars identified by the "lag" parameter. E.g. if "lag" is 10 and leg one has increased 3% over the past ten bars, while leg two has only increased 1%, the plot value is 2%. The main plot is also colored blue when leg one increases while leg two decreases on a given bar, and red if the opposite is true. This feature identifies periods where the correlation between the two legs diminishes. The one and two standard deviation of the main plot is also plotted in faint background lines. Additionally, a table indicates the percentage in which the main plot is within one standard deviation (acc 1) and two standard deviations (acc 2). Note that the standard deviation updates on each bar, so the current standard deviation is not the one used to calculate the accuracy. Rather, if there are N bars, N different standard deviation readings have been used to compute the accuracy statistics.
The inputs are:
- timeframe: the timeframe of the chart
- leg1_sym: the symbol of the first leg
- leg2_sym: the symbol of the second leg
- lag: the number of bars back to reference for computing the log return of each leg
- anchor_to_session_start: for intraday charts only, this overwrites the "lag" input so that the "lag" always sets the point of comparison to the session start. This setting is used to compute the relative change over a single session.
DoubleRSI fast/slow signal buy/sell with alert Relative StrengthA combination of two Relative strength index. One fast and one slow line. In a system, this indicator can serve as an additional confirmation.
For example, for a long entry:
slow RSI cross above 50 level and fast RSI cross above 70 level. then check volume and use another indicator such as a MACD for extra confirmation
For example, for a short entry:
slow RSI cross below 50 and fast RSI cross below 30 level. then check volume and use another indicator such as a MACD for confirmation
An alarm function has also been added.
the following settings are possible:
- Source
- Length
- Color
I do not recommend to use this indicator alone.
have fun using this simple and helpful tool.
RSI Exhaustion + DivergenceThe Relative Strength Index Exhaustion with Divergence is an essential replacement of the standard Relative Strength Index Oscillator because it's able to identify and highlight hidden exhaustions together with Bullish/Bearish Regular and Hidden Divergences.
This indicator can give the outmost probability in spotting trend reversals or trend continuation.
By identifying hidden exhaustion momentum, the Relative Strength Index Exhaustion indicator represents an essential support to the trader in effectively reading the market and grabbing the best opportunities.
This detects divergences between price and indicator with 1 candle delay so it filters out repeating divergences.
Recommended to use this at a higher timeframe to lessen the false signals.
Red Arrow = Bullish/Bearish Divergence
White Arrow = Hidden Bullish/Bearish Divergence
RSI with Slow and Fast MA Crossing Strategy (by Coinrule)This strategy utilises 3 different conditions that have to be met to buy and 1 condition to sell. This strategy works best on the ETH/USDT pair on the 4-hour timescale.
In order for the strategy to enter the trade, it must meet all of the conditions listed below:
ENTRY
RSI increases by 5
RSI is lower than 70
MA9 crosses above MA50
To exit a trade, the below condition must be met:
EXIT
MA50 crosses above MA9
This strategy works well on LINK/USDT on the 1-day timeframe, MIOTA/USDT on the 2-hour timeframe, BTC/USDT on the 4-hour timeframe, and BEST/USDT on the 1-day timeframe (and 4h).
Back-tested from 1 January 2020.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
TASC 2022.10 RS VA EMA█ OVERVIEW
TASC's October 2022 edition Traders' Tips includes the second part of the "Relative Strength Moving Averages" article series authored by Vitali Apirine. This is the code that implements the Relative Strength Volume-Adjusted Exponential Moving Average (RS VA EMA) presented in this publication.
█ CONCEPTS
In his article series, the author argues that the relative strength of price, volume, and volatility can potentially be used to filter price movements and define turning points. In particular, the RS VA EMA indicator is designed to account for the relative strength of volume. Like the traditional exponential moving average (EMA) , it is a lagging trend-following indicator. The difference is that it responds more quickly.
In a trading strategy, RS VA EMA is suggested to be used in combination with EMA of the same length to determine the overall trend or in combination with RS VA EMA of a different length to identify turning points and filter price movements.
█ CALCULATIONS
The calculation of RS VA EMA is based on the concept of volume strength (VS). By definition, VS measures the difference between "positive" and "negative" volume flow. Volume is indicated as "positive" when the close is higher than the previous close and "negative" when the close is below the previous close.
The following steps are used in the calculation process:
• Calculate the volume strength (VS) of a given length.
• Multiply VS by a predefined multiplier and calculate the EMA of the resulting time series.
The values of 10,10,10 are the typical input settings for RS VA EMA, where the first parameter is the length of the moving average, the second is the length of VS, and the third is the volume strength multiplier.
