Double RSI FilterI've seen several youtubers using 2 RSI's on top of one another to filter trades for their strategies. I figured I would just code it up as an all-in-one indicator for people who have the basic package. This way they have an extra slot for another indicator if they need one and also for convenience.
Longs only when RSI 1 is above RSI 2 and shorts only when opposite. The arrows show where crosses of the RSI's occur.
Let me know if there is something else like this where it would just be very convenient to have 2 indicators on one window or other such things and I'll see if I can do something for you guys in my spare time. I'm just an amateur coder, but learning as I do more of these for people.
Thank you!
Hope this helps someone! :)
Relativestrength
Custom Multi-Timeframe IndicatorIt's a pretty simple example of a nice custom screener you can run for multiple timeframes. This is an RSI screener, but you can easily change the function for your own Indicator.
Screener displays:
Last value of the instrument
RSI value for up to 10 instruments / 4 timeframes.
In Parameters you can change:
4 timeframes
10 instruments
Parameters for RSI
Styling parameters for table
If the selected timeframe will be lower than the current one you will receive a warning message in a table.
Thanks to @MUQWISHI to help me code it.
Disclaimer
Please remember that past performance may not be indicative of 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.
Oversold RSI with tight SL Strategy (by Coinrule)This is one of the best strategies that can be used to get familiar with technical indicators and start to include them in your trading bot rules.
ENTRY
1. This trading system uses the RSI ( Relative Strength Index ) to anticipate good points to enter positions. RSI is a technical indicator frequently used in trading. It works by measuring the speed and change of price movements to determine whether a coin is oversold (indicating a good entry point) or overbought (indicating a point of exit/entry for a short position). The RSI oscillates between 0 and 100 and is traditionally considered overbought when over 70 and oversold when below 30.
2. To pick the right moment to buy, the strategy enters a trade when the RSI falls below 30 indicating the coin is oversold and primed for a trend reversal.
EXIT
The strategy then exits the position when the price appreciates 7% from the point of entry. The position also maintains a tight stop-loss and closes the position if the price depreciates 1% from the entry price. The idea behind this is to cut your losing trades fast and let your winners ride.
The best time frame for this strategy based on our backtesting data is the daily. Shorter time frames can also work well on certain coins, however in our experience, the daily works best. Feel free to experiment with this script and test it on a variety of your coins! With our backtesting data a trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume. In the example shown, this strategy made a handsome net profit of 39.31% on Chainlink with 61.54% of trades being profitable.
RSI Cor Bias [Moto]Hello traders,
This is a pretty simple script. It gives a background directional bias color respective to RSI levels from input thresholds in the settings. Users can choose the upper and lower thresholds and the symbol that the RSI is from.
For example, by default, the upper threshold is 52 and the lower 48. If Bitcoins RSi is above 52, the background color will be green, below 48 it's pink, between and no color will be applied.
Generally, buying should be occurring in pink to green transition or in green, and conversely selling should be occurring in green to pink transition or in pink.
Thanks,
Moto
Oversold RSI with Tight Stop-Loss Strategy (by Coinrule)KRAKEN:LINKUSD
This is one of the best strategies that can be used to get familiar with technical indicators and start to include them in your rules on Coinrule .
ENTRY
1. This trading system uses the RSI (Relative Strength Index) to anticipate good points to enter positions. RSI is a technical indicator frequently used in trading. It works by measuring the speed and change of price movements to determine whether a coin is oversold (indicating a good entry point) or overbought (indicating a point of exit/entry for a short position). The RSI oscillates between 0 and 100 and is traditionally considered overbought when over 70 and oversold when below 30.
2. To pick the right moment to buy, the strategy enters a trade when the RSI falls below 30 indicating the coin is oversold and primed for a trend reversal.
EXIT
The strategy then exits the position when the price appreciates 7% from the point of entry. The position also maintains a tight stop-loss and closes the position if the price depreciates 1% from the entry price. The idea behind this is to cut your losing trades fast and let your winners ride.
The best time frame for this strategy based on our back testing data is the daily. Shorter time frames can also work well on certain coins, however in our experience, the daily works best. Feel free to experiment with this script and test it on a variety of your coins! With our back testing data a trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume. In the example shown, this strategy made a handsome net profit of 52.6% on Chainlink with 66.67% of trades being profitable.
You can execute this strategy on your favorite exchanges with Coinrule .
Stochastic RSI HeatmapStochastic RSI presented as a heatmap starting from the oversold (20) / overbought (80) levels respectively. The more oversold / overbought the price, the more intense the color (blue / fuchsia).
RSI correlation with cryptoindices [strategy version]Dear TV'ers,
Hereby the strategy script where the RSI of an altcoin can be compared to one of the selected cryptocap indices. Included are:
-total market cap
-total market cap minus bitcoin
-total market cap others
-total market cap usdt
-cix100 index
-btc dominance
-btc total cap
If the signal crosses over 1, then the altcoin is undervalued compared to the crypto index (and considered a buying signal here). If the signal crosses under 1, then the altcoin is overvalued compared to the selected crypto-index and a short signal is produced.
!!Please note that the selected timeframe for the reference pair should be a higher time of the chart in order to prevent repainting!!!
Relative Strength Super Smoother by lastguruA better version of Apirine's RS EMA by using a superior MA: Ehlers Super Smoother.
In January 2022 edition of TASC Vitaly Apirine introduced his Relative Strength Exponential Moving Average. A concept not entirely new, as Tushar Chande used a similar calculation for his VIDYA moving average. Both are based on the idea to change EMA length depending on the absolute RSI value, so the moving average would speed up then RSI is going up or down from the center value (when there is a significant directional price movement), and slow down when RSI returns to the center value (when there is a neutral or sideways movement). That way EMA responsiveness would increase where it matters most, but decrease where there is a high probability of whipsaw.
There are only two main differences between VIDYA and RS EMA:
RSI internal smoothing - VIDYA uses SMA, as Chande's CMO is an RSI with SMA; RS EMA uses EMA
Change direction - VIDYA sets the fastest length; RS EMA sets the slowest length
Both algorithms use EMA as the base of their calculation. As John F. Ehlers has shown in his article "Predictive and Successful Indicators" (January 2014 issue of TASC), EMA is not a very efficient filter, as it introduces a significant lag if sufficient smoothing is required. He describes a new smoothing filter called SuperSmoother, "that sharply attenuates aliasing noise while minimizing filtering lag." In other words, it provides better smoothing with lower lag than EMA.
In this script, I try to get the best of all these approaches and present to you Relative Strength Super Smoother. It uses RS EMA algorithm to calculate the SuperSmoother length. Unlike the original RS EMA algorithm, that has an abstract "multiplier" setting to scale the period variance (without this parameter, RSI would only allow it to speed up twice; Vitaly Apirine sets the multiplier to 10 by default), my implementation has explicit lower bound setting, so you can specify the exact range of calculated length.
Settings:
Lower Bound - fastest SuperSmoother length (when RSI is +100 or -100)
Upper Bound - slowest SuperSmoother length (when RSI is 0)
RSI Length - underlying RSI length. Unlike the original RSI that uses RMA as an internal smoothing algorithm, Vitaly Apirine uses EMA, which is approximately twice as fast (that is needed because he uses a generally long RSI length and RMA would be too slow for this). It is the same as the Upper Bound by default (0), as in the original implementation
The original RS EMA is also shown on the chart for comparison. The default multiplier of 10 for RS EMA means that the fastest EMA period is around 4. I use the fastest period of 8 by default. It does not introduce too much of a lag in comparison, but the curve is much smoother.
This script is just an interface for my public libraries. Check them out for more information.
TASC 2022.05 Relative Strength Exponential Moving Average█ OVERVIEW
TASC's May 2022 edition Traders' Tips includes the "Relative Strength Moving Averages" article authored by Vitali Apirine. This is the code implementing the Relative Strength Exponential Moving Average (RS EMA) indicator introduced in this publication.
█ CONCEPTS
RS EMA is an adaptive trend-following indicator with reduced lag characteristics. By design, this was made possible by harnessing the relative strength of price. It operates in a similar fashion to a traditional EMA, but it has an improved response to price fluctuations. In a trading strategy, RS EMA can be used in conjunction with an EMA of the same length to identify the overall trend (see the preview chart). Alternatively, RS EMAs with different lengths can define turning points and filter price movements.
RS EMA is an adaptive trend-following indicator with reduced lag characteristics. By design, this was made possible by harnessing the relative strength of price. It operates in a similar fashion to a traditional EMA, but it has an improved response to price fluctuations.
█ CALCULATIONS
The following steps are used in the calculation process:
• Calculate the relative strength (RS) of a given length.
• Multiply RS by a chosen coefficient (multiplier) to adapt the EMA filtering the original time series. Calculate the EMA of the resulting time series.
The author recommends RS EMA(10,10,10) as typical settings, where the first parameter is the EMA length, the second parameter is the RS length, and the third parameter is the RS multiplier. Other values may be substituted depending on your trading style and goals.
Bogdan Ciocoiu - LitigatorDescription
The Litigator is an indicator that encapsulates the value delivered by the Relative Strength Index, Ultimate Oscillator, Stochastic and Money Flow Index algorithms to produce signals enabling users to enter positions in ideal market conditions. The Litigator integrates the value delivered by the above four algorithms into one script.
This indicator is handy when trading continuation/reversal divergence strategies in conjunction with price action.
Uniqueness
The Litigator's uniqueness stands from integrating the above algorithms into the same visual area and leveraging preconfigured parameters suitable for short term scalping (1-5 minutes).
In addition, the Litigator allows configuring the above four algorithms in such a way to coordinate signals by colour-coding or shape thickness to aid the user with identifying any emerging patterns quicker.
Furthermore, Moonshot's uniqueness is also reflected in the way it has standardised the outputs of each algorithm to look and feel the same, and in doing so, enabling users to plug them in/out as needed. This also includes ensuring the ratios of the shapes are similar (applicable to the same scale).
Open-source
The indicator uses the following open-source scripts/algorithms:
www.tradingview.com
www.tradingview.com
www.tradingview.com
www.tradingview.com
Screener for 40+ instrumentsAs you probably know in TradingView there is a limit of 40 instruments in one custom screener.
I created a script that will allow you to scan more symbols.
The idea of it is pretty simple. You have to add a screener a few times on your screen with a different set of symbols. Then select column width (as % of your chart width) and # of the screener right to left.
Script will plot #1 screener next to the right border. For #2 and all next tables, the script will compute the needed offset and will draw it on the left. This way it will look like one table and not a few separate indicators.
I created a script with an RSI screener, but you can create more complicated examples with it.
Off course, that's not a silver bullet solution but might work for some of you.
Disclaimer
Please remember that past performance may not be indicative of 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.
Volatility Adapted Relative StrengthVARS uses a stock's ALPHA in comparison to the SPX to determine whether there is RS on an volatility adjusted basis.
Multiple Relative Strength (Multiple RS) (XP)Multiple Relative Strength (Multiple RS) (XP)
You can see three Relative Strength lines.
The lines are thicker going from RS1 to RS2 to RS3, for differentiation.
Using the three RS, you can see long, medium, and short term performance at once.
Relative StrengthRelative strength is a calculation of the price trend of a stock or a financial instrument in comparison to another instrument, stock, or industry. It shall be determined by taking the price of one commodity and dividing it by another.
Relative strength is a strategy used for determining value stocks and is used in momentum investing as well. It involves investing in stocks that have done well, in relation to their index or benchmark. For example, a relative strength investor might pick technology companies that have outperformed the Nasdaq Composite Index or large-cap stocks that are lagging against the S&P 500 index(Adjustable in the settings).
This indiator will give you a plot for relative strength between the current pair with another pair (adjustable in the settings), with a plotshape for RSNHBP & RSNH
Features :
1. Relative Strength
2. Double EMA of Relative Strength
3. RSNHBP & RSNH
How to use it :
1. Adjust All the settings parameter
2. For Alerting, Just use any alert function call, it will give you an alert of RSNHBP and RSNH
ETF Trends//@Devendra Akolkar - @dakolkar - This indicator will compare and show relative performance of 3 symbols.
// It'll compare those 3 symbols on 3 different Timeframe (Weekly - 5 sessions , BiWeekly - 10 sessions and Monthly - 20 sessions) and display performance in %
Relative Strength Volatility Adjusted Ema [CC]The Relative Strength Volatility Adjusted Exponential Moving Average was created by Vitali Apirine (Stocks and Commodities Mar 2022) and this is his final indicator of his recent Relative Strength series. I published both of the previous indicators, Relative Strength Volume Adjusted Exponential Moving Average and Relative Strength Exponential Moving Average
This indicator is particularly unique because it uses the Volatility Index (VIX) symbol as the default to determine volatility and uses this in place of the current stock's price into a typical relative strength calculation. As you can see in the chart, it follows the price much closer than the other two indicators and so of course this means that this indicator is best for choppy markets and the other two are better for trending markets. I would of course recommend to experiment with this one and see what works best for you.
I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal signals are lighter in color. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators or scripts you would like to see me publish!
TASC 2022.03 Relative Strength Volatility-Adjusted EMA█ OVERVIEW
TASC's March 2022 edition of Traders' Tips includes the "Relative Strength Moving Averages - Part 3: The Relative Strength Volatility-Adjusted Exponential Moving Average" article authored by Vitali Apirine. This is the code that implements the "RS VolatAdj EMA" from the article.
█ CONCEPTS
In a three-part article series, Vitaly Apirine examines ways to filter price movements and define turning points by applying the Relative Strength concept to exponential moving averages . The resulting indicator is more responsive and is intended to account for the relative strength of volatility .
█ CALCULATIONS
The calculation process uses the following steps:
Select an appropriate volatility index (in our case it is VIX ).
Calculate up day volatility (UV) smoothed by a 10-day EMA.
Calculate down day volatility (DV) smoothed by a 10-day EMA.
Take the absolute value of the difference between UV and DV and divide by the sum of UV and DV. This is the Volatility Strength we need.
Calculate a MLTP constant - the weighting multiplier for an exponential moving average.
Combine Volatility Strength and MLTP to create an exponential moving average on current price data.
Join TradingView!
Linear Regression Relative Strength[image/x/iZvwDWEY/
Relative Strength indicator comparing the current symbol to SPY (or any other benchmark). It may help to pick the right assets to complement the portfolio build around core ETFs such as SPY.
The general idea is to show if the current symbol outperforms or underperforms the benchmark (SPY by default) when bought some certain time ago. Relative performance is displayed as percent and is calculated for three different time ranges - short (1 mo by default), mid (1 quarter), and long (half a year). To smooth the volatility, the script uses linear regression to estimate the trend and takes the start and the end points of the linear regression line to compute the relative strength.
It is important to remember that the script shows the gain relative to SPY (or other selected benchmark), not the asset's gain. Therefore, it may indicate that the asset is profitable, but it still may lose value if SPY is in downtrend.
Therefore, it is crucial to check other indicators before making a decision. In the example above, standard linear regression for one quarter is used to indicate the direction of the trend.
Relative Strength Volume Adjusted Exponential Moving Avg [CC]The Relative Strength Volume Adjusted Exponential Moving Average was created by Vitali Apirine (Stocks and Commodities Feb 2022 pgs 14-18) and this is very similar of course to the last Relative Strength Exponential Moving Average . It works under the same concept with using overbought and oversold methods to adjust the moving average and with this particular version you will notice that sudden drops or increases won't follow super closely so this can be useful along with the other as a good complementary indicator to use with each other to determine the short and medium term trend and to give good entry and exit points. I have strong buy and sell signals in addition to normal ones so darker colors are strong and lighter colors are normal. Buy when the indicator line turns green and sell when it turns red.
Let me know if there are any other indicators or scripts you would like to see me publish!
Relative Strength Exponential Moving Average [CC]The Relative Strength Exponential Moving Average was created by Vitali Apirine (Stocks and Commodities Jan 2022 pgs 22-25) and this is a handy moving average that combines a typical overbought/oversold mechanic with an overall trend indicator. Even though the typical length is so large it reacts extremely quickly when the stock becomes overbought or oversold. Because of this the indicator by itself doesn't work as well during choppy periods so Vitali recommends using a moving average crossover system during choppy so do one indicator with the default length of 50 and use a different length of 10 so when the shorter length crosses over the longer length then buy and vice versa you would sell. Generally speaking buy when the line turns green and sell when it turns red. I have used strong buy and sell signals in addition to normal signals so strong signals are darker in color and normal signals are lighter in color.
Let me know if there are any other scripts or indicators you would like me to publish!
Currency StrengthThis script measures the strength of the 6 major currencies USD, EUR, GBP, CAD, AUD and JPY.
Simply, it averages the RSI values of a currency vs the 5 other currencies in the basket, and displays each average RSI value in a table with color coding to quickly identify the strongest and weakest currencies over the past 14 bars (or user defined length).
The Dir. value looks at the difference in average RSI value between current and X bars back (user defined), telling you whether the combined RSI value has gone up or down in the last X bars.
Using the average RSI allows us to get a sense of the currency strength vs an equally weighted basket of the other majors, as opposed to using Indexes which are heavily weighted to 1 or 2 currencies.
The table doesn't load super fast as we are making 15 Security requests to get the values for each pair (where possible we reverse the values of the pair to reduce Security requests, e.g. we don't need to request EURUSD and USDEUR, we reverse the value to calculate the USD RSI).
Relative Strength vs SPY - real time & multi TF analysisOne of the most requested features for TradingView is the ability to include custom indicators in the stock market scanner. While I am sure this feature is coming soon (seriously TV, PLEASE) I decided to use the amazing template provided by QuantNomad (), but I wanted to allow the user to modify the table a bit better so that a multi time frame analysis approach could be used.
The recommended way to use this indicator is to apply it three times to your chart. For each instance, assign it a plotting location (left, center, right) and choose the timeframe you wish to use for the RS analysis. By default, the relative strength of all 39 pre selected stocks will be compared against SPY, on the 5 min timeframe. I personally like having this chart on the left, then the 4 hour timeframe in the center, and the daily on the right. Not only does this setup allow you to see the relative strength/weakness of 39 stocks in real time (the one on the left), but you have all the information in front of you including how the stock has been performing relative to SPY on the 4H and D charts.
To make it easiest to read, you should disable all visual elements to the chart you are applying this indicator to. By minimizing the chart and putting it by your side, you can see the bigger picture on how all your stocks are behaving relative to the market.
If you wish to change any of the stocks I have pre selected, make sure to save your chart template. Otherwise you would need to do this every time you load the indicator to your chart which would be incredibly time consuming.
The M Score - Ultimate v5.0The M Score - Ultimate v5.0
*Introducing M score version 5.0*
Additions to the indicator:
1. 200 EMA Band (High-Low) added
2. Bottom left table - Shows All Time High/Lows (52 weeks) and % away we are from both. The values will not change in this table even if you change the timeframe.
3. Bottom center table - Performance matrix and a quick glance comparison with Nifty with different days of return. This will show if there outperformance or underperformance in the scripts and in which duration.
4. Top Right table - This indicator plots a table off to the right of the chart to help with determining timeframe continuity. A great edge is only taking trades where full timeframe continuity is in place (i.e. if you are going long, make sure other timeframes are also green).
Green candles have green colored boxes, red candles have red colored boxes.
Inside bars are represented by a circle - ⬤
Outside bars are represented by a tall rectangle - ▮
2-up bars are indicated by an up arrow - ▲
2-down bars are indicated by a down arrow - ▼
User defined options:
Pick any timeframe for the 4 boxes
Hope you will will like the efforts.
