KINSKI Multi Trend OscillatorThe Multi Trend Oscillator is a tool that combines the ratings of several indicators to facilitate the search for profitable trades. I was inspired by the excellent indicator "Technical Ratings" from Team TradingView to create an alternative with a technically new approach. Therefore, it is not a modified copy of the original, but newly conceived and implemented.
The recommendations of the indicator are based on the calculated ratings from the different indicators included in it. The special thing here is that all settings for the individual indicators can be changed according to your own needs and displayed as a histogram and MA line. This provides an excellent visual control of your own settings. Alarms are also triggered.
Criteria for determining the rating
Relative Strength Index (RSI)
Buy - Crossover oversold level and indicator < oversold level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Relative Strength Index (RSI) Laguerre
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Noise free Relative Strength Index (RSX)
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Money Flow Index (MFI)
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Commodity Channel Index (CCI)
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Moving Average Convergence/Divergence (MACD)
Buy - values of the main line > values of the signal line and rising
Sell - values of the main line < values of the signal line and falling
Neutral - neither Buy nor Sell
Klinger
Buy - indicator >= 0 and rising
Sell - indicator < 0 and falling
Neutral - neither Buy nor Sell
Average Directional Index (ADX)
Buy - indicator > 20 and +DI line crosses over the -DI line and rising
Sell - indicator > 20 and +DI line crosses below the -DI line and falling
Neutral - neither Buy nor Sell
Awesome Oscillator
Buy - Crossover 0 and values are greater than 0, or exceed the zero line
Sell - Crossunder 0 and values are lower than 0, or fall below the zero line
Neutral - neither Buy nor Sell
Ultimate Oscillator
Buy - Crossover oversold level and indicator < oversold level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Williams Percent Range
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder Oversold Level and Indicator >= Oversold Level and falling
Neutral - neither Buy nor Sell
Momentum
Buy - Crossover 0 and indicator levels rising
Sell - Crossunder 0 and indicator values falling
Neutral - neither Buy nor Sell
Total Ratings
The numerical value of the rating "Sell" is 0, "Neutral" is 0 and "Buy" is 1. The total rating is calculated as the average of the ratings of the individual indicators and are determined according to the following criteria:
MaxCount = 12 (depending on whether other oscillators are added).
CompareSellStrong = MaxCount * 0.3
CompareMid = MaxCount * 0.5
CompareBuyStrong = MaxCount * 0.7
value <= CompareSellStrong - Strong Sell
value < CompareMid and value > CompareSellStrong - Sell
value == 6 - Neutral
value > CompareMid and value < CompareBuyStrong - Buy
value >= CompareBuyStrong - Strong Buy
Understanding the results
The Multi Trend Oscillator is designed so that its values fluctuate between 0 and currently 12 (maximum number of integrated indicators). Its values are displayed as a histogram with green, red and gray bars. The bars are gray when the value of the indicator is at half of the number of indicators used, currently 12. Increasingly saturated green bars indicate increasing values above 6, and increasingly saturated red bars indicate increasingly decreasing values below 6.
The table at the end of the histogram shows details (can be activated in the settings) about the overall rating and the individual indicators. Its color is determined by the rating value: gray for neutral, green for buy or strong buy, red for sell or strong sell.
The following alarms are triggered:
Multi Trend Oscillator: Sell
Multi Trend Oscillator: Strong Sell
Multi Trend Oscillator: Buy
Multi Trend Oscillator: Strong Buy
Relative Strength Index (RSI)
Adaptive Oscillator constructor [lastguru]Adaptive Oscillators use the same principle as Adaptive Moving Averages. This is an experiment to separate length generation from oscillators, offering multiple alternatives to be combined. Some of the combinations are widely known, some are not. Note that all Oscillators here are normalized to -1..1 range. This indicator is based on my previously published public libraries and also serve as a usage demonstration for them. I will try to expand the collection (suggestions are welcome), however it is not meant as an encyclopaedic resource , so you are encouraged to experiment yourself: by looking on the source code of this indicator, I am sure you will see how trivial it is to use the provided libraries and expand them with your own ideas and combinations. I give no recommendation on what settings to use, but if you find some useful setting, combination or application ideas (or bugs in my code), I would be happy to read about them in the comments section.
The indicator works in three stages: Prefiltering, Length Adaptation and Oscillators.
Prefiltering is a fast smoothing to get rid of high-frequency (2, 3 or 4 bar) noise.
Adaptation algorithms are roughly subdivided in two categories: classic Length Adaptations and Cycle Estimators (they are also implemented in separate libraries), all are selected in Adaptation dropdown. Length Adaptation used in the Adaptive Moving Averages and the Adaptive Oscillators try to follow price movements and accelerate/decelerate accordingly (usually quite rapidly with a huge range). Cycle Estimators, on the other hand, try to measure the cycle period of the current market, which does not reflect price movement or the rate of change (the rate of change may also differ depending on the cycle phase, but the cycle period itself usually changes slowly).
Chande (Price) - based on Chande's Dynamic Momentum Index (CDMI or DYMOI), which is dynamic RSI with this length
Chande (Volume) - a variant of Chande's algorithm, where volume is used instead of price
VIDYA - based on VIDYA algorithm. The period oscillates from the Lower Bound up (slow)
VIDYA-RS - based on Vitali Apirine's modification of VIDYA algorithm (he calls it Relative Strength Moving Average). The period oscillates from the Upper Bound down (fast)
Kaufman Efficiency Scaling - based on Efficiency Ratio calculation originally used in KAMA
Deviation Scaling - based on DSSS by John F. Ehlers
Median Average - based on Median Average Adaptive Filter by John F. Ehlers
Fractal Adaptation - based on FRAMA by John F. Ehlers
MESA MAMA Alpha - based on MESA Adaptive Moving Average by John F. Ehlers
MESA MAMA Cycle - based on MESA Adaptive Moving Average by John F. Ehlers , but unlike Alpha calculation, this adaptation estimates cycle period
Pearson Autocorrelation* - based on Pearson Autocorrelation Periodogram by John F. Ehlers
DFT Cycle* - based on Discrete Fourier Transform Spectrum estimator by John F. Ehlers
Phase Accumulation* - based on Dominant Cycle from Phase Accumulation by John F. Ehlers
Length Adaptation usually take two parameters: Bound From (lower bound) and To (upper bound). These are the limits for Adaptation values. Note that the Cycle Estimators marked with asterisks(*) are very computationally intensive, so the bounds should not be set much higher than 50, otherwise you may receive a timeout error (also, it does not seem to be a useful thing to do, but you may correct me if I'm wrong).
The Cycle Estimators marked with asterisks(*) also have 3 checkboxes: HP (Highpass Filter), SS (Super Smoother) and HW (Hann Window). These enable or disable their internal prefilters, which are recommended by their author - John F. Ehlers . I do not know, which combination works best, so you can experiment.
Chande's Adaptations also have 3 additional parameters: SD Length (lookback length of Standard deviation), Smooth (smoothing length of Standard deviation) and Power ( exponent of the length adaptation - lower is smaller variation). These are internal tweaks for the calculation.
Oscillators section offer you a choice of Oscillator algorithms:
Stochastic - Stochastic
Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic) by John F. Ehlers
CMO - Chande Momentum Oscillator
RSI - Relative Strength Index
Volume-scaled RSI - my own version of RSI. It scales price movements by the proportion of RMS of volume
Momentum RSI - RSI of price momentum
Rocket RSI - inspired by RocketRSI by John F. Ehlers (not an exact implementation)
MFI - Money Flow Index
LRSI - Laguerre RSI by John F. Ehlers
LRSI with Fractal Energy - a combo oscillator that uses Fractal Energy to tune LRSI gamma
Fractal Energy - Fractal Energy or Choppiness Index by E. W. Dreiss
Efficiency ratio - based on Kaufman Adaptive Moving Average calculation
DMI - Directional Movement Index (only ADX is drawn)
Fast DMI - same as DMI, but without secondary smoothing
If no Adaptation is selected (None option), you can set Length directly. If an Adaptation is selected, then Cycle multiplier can be set.
Before an Oscillator, a High Pass filter may be executed to remove cyclic components longer than the provided Highpass Length (no High Pass filter, if Highpass Length = 0). Both before and after the Oscillator a Moving Average can be applied. The following Moving Averages are included: SMA, RMA, EMA, HMA , VWMA, 2-pole Super Smoother, 3-pole Super Smoother, Filt11, Triangle Window, Hamming Window, Hann Window, Lowpass, DSSS. For more details on these Moving Averages, you can check my other Adaptive Constructor indicator:
The Oscillator output may be renormalized and postprocessed with the following Normalization algorithms:
Stochastic - Stochastic
Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic) by John F. Ehlers
Inverse Fisher Transform - Inverse Fisher Transform
Noise Elimination Technology - a simplified Kendall correlation algorithm "Noise Elimination Technology" by John F. Ehlers
Except for Inverse Fisher Transform, all Normalization algorithms can have Length parameter. If it is not specified (set to 0), then the calculated Oscillator length is used.
More information on the algorithms is given in the code for the libraries used. I am also very grateful to other TradingView community members (they are also mentioned in the library code) without whom this script would not have been possible.
Double Basics - Identify Overbought & Oversold - MultitimeframeI believe that everyone should monitor the basic indicators; EMA/SMA cross, BB and RSI on at least TWO timeframes before making any trading decisions. And because that is only possible on paid subscriptions, I created this indicator for people just getting started.
It allows you to plot all of the mentioned AND 2 weeklies of your choice on 1 chart INCLUDING a higher timeframe, using only 1 indicator.
The EMA's are plotted as ORANGE and the SMA's as BLACK, you can distinguish them by the line size, thin is current chart, thick is higher timeframe.
Same for the Bollinger Bands, Upper lines are red (overbought = sell signal) and bottom lines are green (oversold = buy signal)
The RSI, normally plotted in its own window, are plotted on the scale of the BB of the 2nd timeframe, where the bottom line = 0, upper line = 100 and middle (think black) line = 50. The thin purple line is the RSI of the chart resolution, the thicker purple line is the RSI of the 2nd timeframe.
Finally, the two weeklies are plotted as thick black lines.
Enjoy, and let me know your feedback!
Fukuiz TrendThis indicator base on RSI of 2 different periond.
#A brief introduction to RSI #
The relative strength index (RSI) is a momentum indicator used in technical analysis that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is displayed as an oscillator (a line graph that moves between two extremes) and can have a reading from 0 to 100. The indicator was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”
Traditional interpretation and usage of the RSI are that values of 70 or above indicate that a security is becoming overbought or overvalued and may be primed for a trend reversal or corrective pullback in price. An RSI reading of 30 or below indicates an oversold or undervalued condition.
#In this indicator#
I see that you can use 2 RSI with different periond to suggest Bullish trend and Bearish trend.
#Conditions between short and long RSI crossing#
Crossover = Bullish trend (blue zone)
Crossunder = Bearish trend (red zone)
HMAISR This indicator is very similar to the movements of the original rsi, but in some places it works faster.
This indicator is not perfect and does not work everywhere, this version is just my experiment.
Use this indicator at your own risk, it may be suitable for your trading as some areas that I have indicated have worked out perfectly, experiment if you find it interesting and remember that it can make a mistake at any time!
Here is another example of how you can use the indicator where I highlighted the green arrow up, notice how quickly the indicator reacted, note that it went faster for the simple moving average than the same RSI.
QQE / RSIA indicator which combines the QQE indicator, which is a momentum based indicator to determine trend and sideways.
The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index ( RSI ) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR). These ATR lines are smoothed making this indicator less susceptible to short term volatility .
Along with it, i integrated the RSI indicator so both can be monitored simultaneously on one indicator.
This script had been inspired by Mihkel00 so go check him out.
The indicator is shown on the chart as columns, and the other "hidden" in the background which also has a 50 MA bollinger band acting as a zero line.
When both of them agree - you get a bullish or bearish bar
Multi-Timeframe RSI GridThe relative strength index (RSI) is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. The RSI is normally displayed as an oscillator separately from price and can have a reading from 0 to 100. This indicator displays the current RSI levels at up to 6 timeframes (of your choosing) in a grid. If the RSI levels reach overbought (above 70) or oversold (below 30) conditions, it changes the color to help you see that RSI has reached extreme levels. Note that in TradingView, when the chart is on a higher timeframe, the lower timeframe RSI levels don't calculate properly. If those conditions are met, this indicator will hide those values in the grid. If none of your selected values are available, it hides the table completely. There are configuration options, like:
Position the grid in any corner of the screen
Style customization (color, size)
Customize RSI length
Parabolic RSIThe Parabolic RSI is a fusion between two of Welles Wilder Jr.'s indicators:
* The parabolic stop-and-reverse: A trend following overlay indicator.
* The relative strength index: A contrarian indicator bounded between 0 and 100.
The parabolic RSI applies the RSI formula on the parabolic stop-and-reverse which in turn is applied on the market price. The main aim is to find an oscillator similar to the RSI but with a touch of a trend following indicator. In other words, the parabolic RSI is to be used in tandem with the regular RSI to get a confirmatory signal. Generally the parabolic RSI is more stable than the RSI due to the formula used (a type of smoothing from the parabolic stop-and-reverse) which is why it may have a diversification factor with the signals from the RSI.
The best way to use the parabolic RSI is as follows:
* A long signal is generated whenever the parabolic RSI exits the oversold level.
* A short signal is generated whenever the parabolic RSI exits the overbought level.
RSI Strategy Professional ХомячелоХз чим відрізняється. Його лекго використовувати, треба підшаманити пару параметрів і все. Використовую для ринку крипти і норм трейдиться. Індикатор дає сигнал і я зразу залітаю на всю котлєту куди він каже.
Relative Strength Index - MayurRSI backtesting long only portfolio builder.
only for investing at cheap valuations
[_ParkF]RSI+RSI ----- UPGRADE ----> RSI+
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
The RSI index has been upgraded.
The display function of RSI Candle, RSI Line, Divergence, and Divergence Line, which were previous functions, has been maintained.
As an upgrade, two linear regression and two trend lines are drawn.
Since the two linear regression values are different, support and resistance of long-term and short-term linear regression can be confirmed.
The two trend lines also have different period values, so it is possible to check support and resistance that could not be confirmed in linear regression.
Each linear regression and trend line can be turned on and off.
In addition, each linear regression and trend line can arbitrarily modify period values and deviation values.
Log charts and linear chart switches have been added to the trend line.
I hope it will help you with your trading.
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
RSI 인덱스가 업그레이드되었습니다.
기존 기능이었던 캔들, 라인, 다이버전스, 다이버전스 라인의 디스플레이 기능은 그대로 유지됐다.
업그레이드로 두 개의 선형 회귀 분석과 두 개의 추세선이 그려집니다.
두 선형 회귀 값은 서로 다르기 때문에 장기 및 단기 선형 회귀의 지지 및 저항을 확인할 수 있습니다.
두 추세선의 주기 값도 다르므로 선형 회귀 분석에서 확인할 수 없었던 지지 및 저항을 확인할 수 있습니다.
각 선형 회귀선 및 추세선은 켜거나 끌 수 있습니다.
또한 각 선형 회귀선 및 추세선은 주기 값과 편차 값을 임의로 수정할 수 있습니다.
로그 차트 및 선형 차트 스위치가 추세선에 추가되었습니다.
당신의 트레이딩에 도움이 되었으면 합니다.
* I would like to express my gratitude to zdmre for revealing the linear regression source.
* I would like to express my gratitude to aaahopper for revealing the trendlines source.
Measure Volume, Momentum, Trend, VolatilityThis script displays the following indicators in one pane to quickly determine several important factors regarding price action. It allows the user to quickly see all of most important factors surrounding price action in one pane with one quick glance. This should be incredibly helpful and allow things like double divergence and trend confirmation to be spotted much more quickly. I personally use the data in this indicator to replace four separate indicators and it has brought my win rate and profit factor significantly higher. I hadn't seen any place where all of the best J. Welles Wilder indicators such as RSI, Parabolic SAR, and DMI/ADX were brought into one easy to use interface. This is my attempt at fixing that gap. For a much deeper understanding of how to use these indicators, I recommend reading New Concepts in Technical Trading Systems written by J. Welles Wilder.
Momentum via RSI (Relative Strength Index)
Volume via MFI (Money Flow Index)
Volatility via DMI/ADX (Direction Movement Index/Average Directional Index)
Trend via Parabolic SAR (Parabolic Stop and Reverse)
It is worth noting that DMI/ADX and Parabolic SAR can both help determine trend strength and volatility.
The Volatility mechanism is measured by DMI and ADX and displayed at the top of the pane using circles. The top, tiny circles reflect if show if positive DI or negative DI has a higher value. The small circles directly underneath indicate whether or not the ADX is above 20 (configurable, some may choose to increase this to 25 or even 30).
The Momentum mechanism is shown as standard RSI with the default being a white line and default period of 14, which is all configurable.
The Volume mechanism is shown as standard MFI with the default being a fuchsia line and default period of 14, which is also configurable.
The momentum and volume oscillators should be used in conjunction to help spot whether the trend is strong or weak using divergences and the middle, overbought, and oversold levels. These levels are also configurable.
The Trend mechanism is measured by Parabolic SAR and displayed at the bottom of the pane using diamonds. The default is red diamonds when in a bear trend, green when in an uptrend which is configurable. When price is above the Parabolic SAR, it is considered to be an uptrend. When price is below the Parabolic SAR, it is considered to be a downtrend. The way price is measured is also configurable (i.e. open, close, ohlc4, hlc3, etc.). When price crossed above or below the Parabolic SAR, the diamonds will change colors.
All the indicators displayed should be used in a well rounded strategy. For instance, I only trade when ADX is above 20 and rarely trade against the trend shown via PSAR. When trend shifts and divergences helped indicate a trend shift would occur using the RSI and MFI, it can be a great spot to take an entry. RSI/MFI can also confirm the trend is strong when they are not showing divergences and inline with price action. All of this data should be used in conjunction with good fundamental data and technical levels. Divergences with RSI and MFI on double tops or bottoms can also be incredibly powerful. There is no right or wrong way to use all the data displayed in this indicator, however using all four pillars of trading (Momentum, Volume, Trend, Volatility) will help ensure only the best trades are taken.
[_ParkF]RSI (+ichimoku cloud)RSI
Typical RSI indicators were plotted with candles and expressed wick to resemble a candle chart,
and linear regression was added to predict changes in force intensity,
which allowed us to confirm support and resistance within linear regression .
In addition, divergence signal was marked as an additional basis for the price fluctuation point due to support and resistance .
In other words,
if the diversity signal appears together when the rsi candle is supported and resisted within linear regression ,
this is the basis for predicting that it is a point of change in the existing trend.
Finally, the period value and standard deviation of linear regression can be arbitrarily modified and used.
I hope it will help you with your trading.
--------------------------------------------------------------------------------------------------------------------------------------------------------------
(+ichimoku cloud)
Clouds made of the preceding span 1 and the preceding span 2 of the balance table can predict the trend by displaying the current price balance ahead of the future.
In addition to the role of clouds in the above-described balance sheet, this indicator also shows the cloud band support and resistance of the current RSI value.
일반적인 RSI 지표를 캔들화 하였고 꼬리까지 포함하여 캔들 차트와 유사하게 표현 하고,
캔들화한 RSI 지표에 선형회귀(채널)를 추가 하여 RSI 지표 특유의 힘의 강도의 변화를 지지와 저항으로 확인할 수 있게 해봤습니다.
또한 다이버전스 신호를 추가하여 선형회귀(채널)로 인한 지지와 저항에 따른 가격 변동의 근거로 삼을 수 있습니다.
즉, 선형회귀(채널) 안에서 RSI 캔들이 지지와 저항을 받을 때 다이버전스 신호가 함께 나타난다면 이는 기존 추세의 변화 지점임을
예측해 볼 수 있는 근거가 됩니다.
마지막으로 선형회귀(채널)의 기간값과 표준편차는 임의로 수정하여 사용할 수 있습니다.
당신의 트레이딩에 도움이 되었으면 합니다.
--------------------------------------------------------------------------------------------------------------------------------------------------------------
(+일목균형표의 구름)
일목균형표의 선행스팬1과 선행스팬2로 만들어진 구름은 현재 가격의 균형을 미래에 선행하여 표시하여 추세를 예측해볼 수 있습니다.
본 지표에서는 위에서 설명한 일목균형표의 구름의 역할과 더불어 현 RSI 값의 구름대 지지, 저항 또한 확인해볼 수 있습니다.
* I would like to express my gratitude to zdmre for revealing the linear regression source.
[_ParkF]RSIRSI
Typical RSI indicators were plotted with candles and expressed wick to resemble a candle chart,
and linear regression was added to predict changes in force intensity,
which allowed us to confirm support and resistance within linear regression.
In addition, divergence signal was marked as an additional basis for the price fluctuation point due to support and resistance.
In other words,
if the diversity signal appears together when the rsi candle is supported and resisted within linear regression,
this is the basis for predicting that it is a point of change in the existing trend.
Finally, the period value and standard deviation of linear regression can be arbitrarily modified and used.
I hope it will help you with your trading.
일반적인 RSI 지표를 캔들화 하였고 꼬리까지 포함하여 캔들 차트와 유사하게 표현 하고,
캔들화한 RSI 지표에 선형회귀(채널)를 추가 하여 RSI 지표 특유의 힘의 강도의 변화를 지지와 저항으로 확인할 수 있게 해봤습니다.
또한 다이버전스 신호를 추가하여 선형회귀(채널)로 인한 지지와 저항에 따른 가격 변동의 근거로 삼을 수 있습니다.
즉, 선형회귀(채널) 안에서 RSI 캔들이 지지와 저항을 받을 때 다이버전스 신호가 함께 나타난다면 이는 기존 추세의 변화 지점임을
예측해 볼 수 있는 근거가 됩니다.
마지막으로 선형회귀(채널)의 기간값과 표준편차는 임의로 수정하여 사용할 수 있습니다.
당신의 트레이딩에 도움이 되었으면 합니다.
* I would like to express my gratitude to zdmre for revealing the linear regression source.
Relative Strength Index - Divergences, Stoch, Reverse StochThis is aggregation of RSI indicators - RSI, Divergences, Reverse & Stochastic RSI
Thanks to ©JayTradingCharts and ©mohanee for the RSI Divergences code
Thanks to BApig - Motgench, balipour and Wugamlo for the reverse stoch code
Changes:
1. Add option to calc divs based on close or wicks or both (RSI is close based)
2. Add pivots (marking local high/low)
3. Update to Pine v5
4. Cleanup of unused code
[_ParkF]RSI Divergence_overlayRSI Divergence_overlay
Does not include RSI indicator.
Up Signal = Displayed green dot below the candle
Down Signal = Dispalyed red dot above the candle
* Don't trade just at the signal
RSI 다이버전스
RSI 지표 미포함.
상승 신호 = 초록색 점으로 캔들 아래 표시.
하락 신호 = 빨간색 점으로 캔들 위에 표시.
* 신호만 보고 매매하지 마세요
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.
rsisma imkind dailyrsi 14
sma 8
time fram : weekly and daily
rsi 14
sma 8
time fram : weekly and daily
rsi 14
sma 8
time fram : weekly and daily
rsi 14
sma 8
time fram : weekly and daily
RSI_OTT - TP/SLWhile creating this strategy, I was inspired by "ott(by Anıl Özekşi)" and "RSI + Bollinger Double Strategy(by ChartArt)".
Basically, the strategy uses ott bands instead of bollinger bands in the "RSI+Bollinger Double Strategy".
User can select take profit, stop loss, position direction(long, short or both) and the other ott parameters via interface.
RSI_Boll-TP/SLThis strategy is originally "Bollinger + RSI , Double Strategy (by ChartArt)"
I added just TP/SL exit point, position direction selection(long, short or both) and time window into that strategy.
Chanu Delta RSIThis Chanu Delta RSI indicates the strength of the Bitcoin market. The problem with the previous Chanu Delta Indicator was that it was simply based on the price difference between the two Bitcoin markets, so there was no universality. However, this new Chanu Delta RSI solves the problem by introducing an RSI that compares the price difference trend.
This indicator is selectable from both reference and large amplitude BTCUSD markets. I recommend using BYBIT:BTCUSDT for the reference market and COINBASE:BTCUSD for the large amplitude market.
_____________________________________________________________
이 지표는 비트코인 시장의 단기적인 추세를 판단하는데 도움을 줄 수 있습니다. 기존 Chanu Delta 지표의 문제점은 단순히 두 비트코인 시장의 가격차를 기준으로 하여 보편성이 없었다는 점이다. 하지만 이번 새로운 Chanu Delta RSI는 가격차이 추세를 비교하는 RSI를 도입해 문제를 해결했습니다.
이 지표는 레퍼런스 및 큰 진폭 BTCUSD 시장에서 모두 선택할 수 있습니다. 레퍼런스 시장에는 BYBIT:BTCUSDT를 사용하고 큰 진폭 시장에는 COINBASE:BTCUSD를 사용하는 것이 좋습니다.