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Relative Strength Index (RSI)

Relative Strength Index with fast and slow MAsThis is the typical Relative Strength Index indicator with two moving averages, one slow (length 50 by default) and one fast (length 20 by default). Additionally, there are four lines, which mark the oversold/overbought signals at different levels, there are two inner bands with values at the levels 40, and 60, and two outer bands at the levels 20, and 80. The presence of the fast and slow moving averages and their crossover/crossunder with the oversold/overbought levels or the RSI can provide more insightful and faster signals. The indicator has a slightly different colouring mechanism. The views of the RSI indicator on the above the price chart in both dark and light modes:
Pine Script™ indicator
by Thrax93
MTF Stoch RSI + Realtime DivergencesMulti-timeframe Stochastic RSI + Realtime Divergences + Alerts + Pivot lookback periods. This version of the Stochastic RSI adds the following additional features to the stock UO by Tradingview: - Optional 3 x Multiple-timeframe overbought and oversold signals, indicating where 3 selected timeframes are all overbought (>80) or all oversold (<20) at the same time, with alert option. - Optional divergence lines drawn directly onto the oscillator in realtime, with alert options. - Configurable lookback periods to fine tune the divergences drawn in order to suit different trading styles and timeframes, including the ability to enable automatic adjustment of pivot period per chart timeframe. - Alternate timeframe feature allows you to configure the oscillator to use data from a different timeframe than the chart it is loaded on. - Indications where the Stoch RSI is crossing down from above the overbought threshold (<80) and crossing above the oversold threshold (>20) levels on a given user selected timeframe, by printing gold dots on the indicator. - Also includes standard configurable Stoch RSI options, including k length, d length, RSI length, Stochastic length, and source type (close, hl2, etc) While this version of the Stochastic RSI has the ability to draw divergences in realtime along with related settings and alerts so you can be notified as divergences occur without spending all day watching the charts, the main purpose of this indicator was to provide the triple multiple-timeframe overbought and oversold confluence signals and alerts, in an attempt to add more confluence, weight and reliability to the single timeframe overbought and oversold states, commonly used for trade entry confluence. It's primary purpose is intended for scalping on lower timeframes, typically between 1-15 minutes. The triple timeframe overbought can often indicate near term reversals to the downside, with the triple timeframe oversold often indicating neartime reversals to the upside. The default timeframes for this confluence are set to check the 1 minute, 5 minute, and 15 minute timeframes, ideal for scalping the < 15 minute charts. The Stochastic RSI The popular oscillator has been described as follows: “The Stochastic RSI is an indicator used in technical analysis that ranges between zero and one (or zero and 100 on some charting platforms) and is created by applying the Stochastic oscillator formula to a set of relative strength index (RSI) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold. The Stochastic RSI oscillator was developed to take advantage of both momentum indicators in order to create a more sensitive indicator that is attuned to a specific security's historical performance rather than a generalized analysis of price change.” How do traders use overbought and oversold levels in their trading? The oversold level, that is when the Stochastic RSI is above the 80 level is typically interpreted as being 'overbought', and below the 20 level is typically considered 'oversold'. Traders will often use the Stochastic RSI at an overbought level as a confluence for entry into a short position, and the Stochastic RSI at an oversold level as a confluence for an entry into a long position. These levels do not mean that price will necessarily reverse at those levels in a reliable way, however. This is why this version of the Stoch RSI employs the triple timeframe overbought and oversold confluence, in an attempt to add a more confluence and reliability to this usage of the Stoch RSI. What are divergences? Divergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction. There are 4 main types of divergence, which are split into 2 categories; regular divergences and hidden divergences. Regular divergences indicate possible trend reversals, and hidden divergences indicate possible trend continuation. Regular bullish divergence: An indication of a potential trend reversal, from the current downtrend, to an uptrend. Regular bearish divergence: An indication of a potential trend reversal, from the current uptrend, to a downtrend. Hidden bullish divergence: An indication of a potential uptrend continuation. Hidden bearish divergence: An indication of a potential downtrend continuation. Setting alerts. With this indicator you can set alerts to notify you when any/all of the above types of divergences occur, on any chart timeframe you choose, and also when the triple timeframe overbought and oversold confluences occur. Configurable pivot lookback values. You can adjust the default pivot lookback values to suit your prefered trading style and timeframe. If you like to trade a shorter time frame, lowering the default lookback values will make the divergences drawn more sensitive to short term price action. By default, this indicator has enabled the automatic adjustment of the pivot periods for 4 configurable timeframes, in a bid to optimise the divergences drawn when the indicator is loaded onto any of the 4 timeframes. These timeframes and the auto adjusted pivot periods on each of them can also be reconfigured within the settings menu. How do traders use divergences in their trading? A divergence is considered a leading indicator in technical analysis , meaning it has the ability to indicate a potential price move in the short term future. Hidden bullish and hidden bearish divergences, which indicate a potential continuation of the current trend are sometimes considered a good place for traders to begin, since trend continuation occurs more frequently than reversals, or trend changes. When trading regular bullish divergences and regular bearish divergences, which are indications of a trend reversal, the probability of it doing so may increase when these occur at a strong support or resistance level . A common mistake new traders make is to get into a regular divergence trade too early, assuming it will immediately reverse, but these can continue to form for some time before the trend eventually changes, by using forms of support or resistance as an added confluence, such as when price reaches a moving average, the success rate when trading these patterns may increase. Typically, traders will manually draw lines across the swing highs and swing lows of both the price chart and the oscillator to see whether they appear to present a divergence, this indicator will draw them for you, quickly and clearly, and can notify you when they occur. Disclaimer: This script includes code from the stock UO by Tradingview as well as the Divergence for Many Indicators v4 by LonesomeTheBlue.
Pine Script™ indicator
by PHVNTOM_TRADER
9
Smoothed RSI w/ VWAP & Moving AverageThis indicator is the default Tradingview RSI with smoothing and an RSI based VWAP. I've also added the RSI based VWAP to the Moving Average options list. By default, the RSI based VWAP is turned on with the WMA selected as the Moving Average. The RSI changes colors when it is above the 55 level, VWAP, and Moving Average or below the 45 level, VWAP, and Moving Average. There is also an option for barcoloring based on the RSI colors. Default settings Default settings w/ Barcoloring VWAP off w/ Bollinger Bands as the Moving Average VWAP on w/ Bollinger Bands as the Moving Average and Barcoloring VWAP as the Moving Average option
Pine Script™ indicator
by DDMyke
1
Divergence Cheat Sheet'Divergence Cheat Sheet' helps in understanding what to look for when identifying divergences between price and an indicator. The strength of a divergence can be strong, medium, or weak. Divergences are always most effective when references prior peaks and on higher time frames. The most common indicators to identify divergences with are the Relative Strength Index (RSI) and the Moving average convergence divergence (MACD). Regular Bull Divergence: Indicates underlying strength. Bears are exhausted. Warning of a possible trend direction change from a downtrend to an uptrend. Hidden Bull Divergence: Indicates underlying strength. Good entry or re-entry. This occurs during retracements in an uptrend. Nice to see during the price retest of previous lows. “Buy the dips." Regular Bear Divergence: Indicates underlying weakness. The bulls are exhausted. Warning of a possible trend direction change from an uptrend to a downtrend. Hidden Bear Divergence: Indicates underlying weakness. Found during retracements in a downtrend. Nice to see during price retests of previous highs. “Sell the rallies.” Divergences can have different strengths. Strong Bull Divergence Price: Lower Low Indicator: Higher Low Medium Bull Divergence Price: Equal Low Indicator: Higher Low Weak Bull Divergence Price: Lower Low Indicator: Equal Low Hidden Bull Divergence Price: Higher Low Indicator: Higher Low Strong Bear Divergence Price: Higher High Indicator: Lower High Medium Bear Divergence Price: Equal High Indicator: Lower High Weak Bear Divergence Price: Higher High Indicator: Equal High Hidden Bull Divergence Price: Lower High Indicator: Higher High
Pine Script™ indicator
by TanHef
7
Free Volume RSIdear fellows, this indicator is a mod or tweak on the standard RSI here available. the original RSI formula is, as you know, 100 - 100/(1+RS) which equals to 100 * RS/(1+RS) where the 100 factor is merely a scale adjustment to 100's percent basis the RS is the ratio between average gain and average loss within the last N candles. thus, the absolute gain of the up candles within the last N candles window is averaged; same for absolute loss. this averaging uses EMA. the ratio between this averages is RS. the RS ranges from 0 to infinity, thus the ratio RS/(1+RS) locks it between 0 and 1. in regard of our changes we use VWMA instead of EMA we plot the resulting RS directly, instead of its smooth version RS/(1+RS) we dismiss the 100 factor. we specify logarithmic scale for the resulting plot on the justifications of our changes by using VWMA instead of EMA we get both a more dynamic averaging (WMA is faster) as well as a de facto strength of the price action, since now volume is considered alongside the price change. this way one can quantify accumulation and distribution intensities. to anyone who ever was restricted against his will over a sufficiently large period of time on his freedom to move, would understand that an unrestricted indicator conveys better its info. as we're dealing with ratios, the distance between 1 and 2 is the same between 1 and 0.5; thus, a log scale is specified for reading this indicator without distortions. on how to use this indicators this is still an early result, hence it lacks more testing. so far, when it's oversold, buy; and vice versa. best regards.
Pine Script™ indicator
by greenfield_br
6
RSI-Adaptive, GKYZ-Filtered DEMA [Loxx]RSI-Adaptive, GKYZ-Filtered DEMA is a Garman-Klass-Yang-Zhang Historical Volatility Filtered, RSI-Adaptive Double Exponential Moving Average. This is an experimental indicator. The way this is calculated is by turning RSI into an alpha value that is then injected into a DEMA function to output price. Price is then filtered using GKYZ Historical volatility. This process of creating an alpha out of RSI is only relevant to EMA-based moving averages that use an alpha value for it's calculation. What is Garman-Klass-Yang-Zhang Historical Volatility? Yang and Zhang derived an extension to the Garman Klass historical volatility estimator that allows for opening jumps. It assumes Brownian motion with zero drift. This is currently the preferred version of open-high-low-close volatility estimator for zero drift and has an efficiency of 8 times the classic close-to-close estimator. Note that when the drift is nonzero, but instead relative large to the volatility , this estimator will tend to overestimate the volatility . The Garman-Klass-Yang-Zhang Historical Volatility calculation is as follows: GKYZHV = sqrt((Z/n) * sum((log(open(k)/close( k-1 )))^2 + (0.5*(log(high(k)/low(k)))^2) - (2*log(2) - 1)*(log(close(k)/open(2:end)))^2)) Included Alerts Signals Loxx's Expanded Source Types Bar coloring
Pine Script™ indicator
by loxx
1
Aarika RSIHello traders, purpose of creating this indicator is simply trying to analyse the trend of any symbol. This indicator can be used on any script like Indices, Stocks, Future, Currency & Crypto. This RSI version is much simpler to identify the trend of the script than that of traditional RSI trendline. Rather than showing a line, this RSI indicates bars for better and clear visibility of RSI levels. This is a modified version of © ParkF. I have modified it to simplest possible manner. How to trade: RSI level 80, I consider this as extreme-bought which means high chance if bear market from this point on any given timeframe. Whereas 20 is considered as extreme-sold and have a chance to go higher from the current level. I recommend you to study this RSI before putting it into practice. Always start with small target and then go for big one by trailing your profit. This is not a Holy Grail indicator which always gives profit but if you practice this indicator with consistency, your portfolio may give good returns. Use proper money management for any trade. Go for paper trade and observe how this indicator behaves and once satisfied then only take real trade. Disclaimer: Please make sure you study this indicator on different timeframes because inserted set of data may act differently on different scripts and may vary from timeframe to timeframe. We advice you to use this indicator for trend-analysis and study purpose only. Author/publisher of this indicator is not responsible for your profit or loss if you use this indicator for trading purpose one way or another. N.B.: We do not recommend using HeikinAshi charting for this particular indicator as the data inputs may behave differently than expected. If you have any query, you may comment below.
Pine Script™ indicator
by hlsolanki
1
RSI Past Can Turn RSI Into a Directional ToolThe Relative Strength Index was created by J. Welles Wilder to measure overbought and oversold conditions. It’s also found popularity as an overall measure of direction because upward-trending stocks often hit overbought conditions. The opposite can be true with underperformers. Today’s custom script, RSI Past, attempts to capture this secondary use of RSI as a directional indicator. RSI Past achieves this by comparing how many bars have passed since RSI's most recent overbought and oversold readings. It then plots a simple difference between those two numbers. Stocks with “bullish” signals will have positive readings that will increase each time RSI hits an overbought condition. “Bearish” readings are just the opposite, growing more negative as oversold conditions occur. An examination of some individual stocks may show the usefulness of this approach. Meta Platforms , for example, hit an oversold condition almost exactly one year ago, and has remained under heavy selling pressure since: Exxon Mobil , on the other hand, flipped to a bullish reading last October and has trended higher since: This raises some interesting questions for Apple, shown on the main chart above. AAPL’s RSI Past has maintained a bullish reading for over a year -- unlike most other big technology stocks and the broader Nasdaq-100. Could this reflect bigger directional strength, especially with prices holding the $150 level that’s had relevance several times mid-2021? TradeStation has, for decades, advanced the trading industry, providing access to stocks, options, futures and cryptocurrencies. See our Overview for more. Important Information TradeStation Securities, Inc., TradeStation Crypto, Inc., and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., all operating, and providing products and services, under the TradeStation brand and trademark. You Can Trade, Inc. is also a wholly owned subsidiary of TradeStation Group, Inc., operating under its own brand and trademarks. TradeStation Crypto, Inc. offers to self-directed investors and traders cryptocurrency brokerage services. It is neither licensed with the SEC or the CFTC nor is it a Member of NFA. When applying for, or purchasing, accounts, subscriptions, products, and services, it is important that you know which company you will be dealing with. Please click here for further important information explaining what this means. This content is for informational and educational purposes only. This is not a recommendation regarding any investment or investment strategy. Any opinions expressed herein are those of the author and do not represent the views or opinions of TradeStation or any of its affiliates. Investing involves risks. Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options, futures, or digital assets); therefore, you should not invest or risk money that you cannot afford to lose. Before trading any asset class, first read the relevant risk disclosure statements on the Important Documents page, found here: www.tradestation.com .
Pine Script™ indicator
by TradeStation
11
Possible RSI [Loxx]Possible RSI is a normalized, variety second-pass normalized, Variety RSI with Dynamic Zones and optionl High-Pass IIR digital filtering of source price input. This indicator includes 7 types of RSI. High-Pass Fitler (optional) The Ehlers Highpass Filter is a technical analysis tool developed by John F. Ehlers. Based on aerospace analog filters, this filter aims at reducing noise from price data. Ehlers Highpass Filter eliminates wave components with periods longer than a certain value. This reduces lag and makes the oscialltor zero mean. This turns the RSI output into something more similar to Stochasitc RSI where it repsonds to price very quickly. First Normalization Pass RSI (Relative Strength Index) is already normalized. Hence, making a normalized RSI seems like a nonsense... if it was not for the "flattening" property of RSI. RSI tends to be flatter and flatter as we increase the calculating period--to the extent that it becomes unusable for levels trading if we increase calculating periods anywhere over the broadly recommended period 8 for RSI. In order to make that (calculating period) have less impact to significant levels usage of RSI trading style in this version a sort of a "raw stochastic" (min/max) normalization is applied. Second-Pass Variety Normalization Pass There are three options to choose from: 1. Gaussian (Fisher Transform), this is the default: The Fisher Transform is a function created by John F. Ehlers that converts prices into a Gaussian normal distribution. The normaliztion helps highlights when prices have moved to an extreme, based on recent prices. This may help in spotting turning points in the price of an asset. It also helps show the trend and isolate the price waves within a trend. 2. Softmax: The softmax function, also known as softargmax: or normalized exponential function,  converts a vector of K real numbers into a probability distribution of K possible outcomes. It is a generalization of the logistic function to multiple dimensions, and used in multinomial logistic regression. The softmax function is often used as the last activation function of a neural network to normalize the output of a network to a probability distribution over predicted output classes, based on Luce's choice axiom. 3. Regular Normalization (devaitions about the mean): Converts a vector of K real numbers into a probability distribution of K possible outcomes without using log sigmoidal transformation as is done with Softmax. This is basically Softmax without the last step. Dynamic Zones As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl" Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator. One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem. Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system. An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader. To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition: Find V such that: For dynamic zone buy: P{X <= V}=P1 For dynamic zone sell: P{X >= V}=P2 where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone. The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory. Calculating the Dynamic Zones The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone. For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone. In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone. 7 Types of RSI See here to understand which RSI types are included: Included: Bar coloring 4 signal types Alerts Loxx's Expanded Source Types Loxx's Variety RSI Loxx's Dynamic Zones
Pine Script™ indicator
by loxx
Divergence DetectorOverview: - Identifies divergence on the specified indicator. Support for additional indicators in development. - Divergence labels indicate strength of divergence, making it easy to spot stronger divergence. - Fully customizable (including inputs for indicator type and length, pivot lengths, divergence type, lookback range, price source, and more), allowing you to see exactly what you want based on your chart type and timeframe. Inputs: See tooltips on Inputs page in settings. Please report any issues/bugs, enhancement suggestions, or requests for additional indicator support.
Pine Script™ indicator
by reees
19
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.
Pine Script™ strategy
by Coinrule
3
[ChasinAlts] RSI (Time-Spent) Count[MO]// Hello fellow traduers, hope all is well in your neck of the woods. Anywho, I'll attempt to be short and sweet. // I've been doing a LOT of work recently with RSI to figure out what its all about and to learn the ins and outs. // Some great ideas (I think at least) have come to fruition from the deep-dive into RSI, thus, I've got 2 of these ideas // to share. One notable feature for the RSI is when there is a BULLISH trend, it is VERY likely to stay within the upper // 2/3rds of the RSI extremes (0-100) and vise-versa for BEARISH trends and the lower 2/3rds of the RSI extremes. // That is where this script's idea was derived. Now PLEASE, do tell, if you disagree with me (preferably via a cool, // calm, and collected comment...but hey, that's up to you). Ok, now the script. // // What this does is gives you a Bullish and Bearish count for the bars. Bullish Cnt counts up by +1 per every PRINTED bar // that is above OverSold and vise-versa for the Bearish Cnt and being below OverBought. That does VERY MUCH make it // possible for both counts to have a high value if RSI is staying between OverBought and OverSold for extended periods // of time. Though, the ONLY count that will be shown is the one with the highest value. // // There are tooltips describing each of the settings but I will quickly talk about 3 more things. First of all, I prefer // to have as few settings in the settings menu as possible thus the "Boundaries to OB/OS" setting can be viewed as the // OverSold input and the OverBought setting is configured from this by subtracting "Boundaries to OB/OS" from 100 // (ie. 100-Oversold = OverBought). There Lastly, there is the option to show ONLY the coin with the MAX Count from each // 'set' of coins. When that count resets to 0 then the next highest count coin will take its place. To use this instead // of how the script is currently constructed you only need to comment out (add '//' at the beginning of each line of) the current // plot functions and uncomment the lines at the very bottom under the 'MAX' section. Doing so also reveals the possibility of // setting an alert for when the coin with the max count changes between different coins. This is very helpful because since it // only gives the top count of ALL the coins in the selected set, this count is most likely going to continue forward with its // count for a while thus when the alert goes off I prefer to look at the potential trades in the opposite direction of which // the max coin was just in (ie. if its count plot/label is red and it stops then look for a potential long trade on the coin // who's count just reset. Only ONE more piece of the script I have yet to talk about. There is a filter in the code and you // can select to use or not use within the settings. What this filter does is it counts all the printed bars within the last // ___bars(user selectable). This is due to the fact that if there is no trade that occurs on a bar then TradingView does not // print the bar. The coins that have fewer updates also tend to stay within a tighter range for it's RSI thus many times // giving the illusion that the coin is a good trade bc its trending count is very high (tending to be higher than the others) // thus hogging the precious chart space if using the script in its current form, or hogging up the MAX slot so that no other // (and most likely BETTER-TO-TRADE) coins will be shown. It is a great volatility indicator (that of which I have published // a script using the idea in the recent past). If selected in the settings menu and if the % of printed bars count goes below // the user set minimum % then both Bullish and Bearish counts will be reset. This is indicated within the counts plots by looking // at the plots whose counts reset and rather than the plots just stopping printing in mid-air, they will continue to plot while the // counts reset and fall down to 0. These types of coins will keep you in a trade longer that you'd probably want gaining less than // you'd probably expect. // // Peace Folks & Happy Trading, // // ChasinAlts
Pine Script™ indicator
by A_Traders_Edge
4
Stable Coin Dominance RSIThe Stable Coin Dominance RSI evaluates the relative dominance of stable coins within the crypto ecosystem as compared to the total market cap. As stable coin dominance rises, it suggests that market participants are exiting out of crypto assets and into dollar pegged stable coins. The opposite is true inversely; as stable coin dominance diminishes, it suggests that market participants are divesting out of stable coins and into crypto assets. Stable coin dominance can be expressed as a percentage of the total market cap as follows: Stable Coins / Total Crypto. The Stable Coin Dominance RSI indicator uses this percentage and converts it into an oscillator using the formula for the relative strength index. The calculation for the indicator is: RSI The users can select from USDT and USDC, two most dominant stable tokens by market cap, and compare their relative dominance against Bitcoin and the alt market. The Stable Coin Dominance RSI may be useful on larger timeframes when attempting to identify the market’s appetite for risk along with oversold and undersold readings which may indicate pivots or turn arounds along market extremes. The limitation of the indicator lies in the fact that stable coins continue to make up a growing percentage of the total market cap over time and thus comparisons to earlier cycles will not be a perfect apples-to-apples evaluation. This being said, the smoothing function of the RSI’s look back helps to moderate these comparative differences.
Pine Script™ indicator
by DamonAndTheSea
Risk Management Strategy TemplateThis strategy is intended to be used as a base template for building new strategies. It incorporates the following features: Risk management: Configurable X% loss per stop loss Configurable R:R ratio Trade entry: Calculated position size based on risk tolerance Trade exit: Stop Loss currently configurable ATR multiplier but can be replaced based on strategy Take Profit calculated from Stop Loss using R:R ratio Backtesting: Configurable backtesting range by date Trade drawings: TP/SL boxes drawn for all trades. Can be turned on and off Trade exit information labels. Can be turned on and off NOTE: Trade drawings will only be applicable when using overlay strategies Debugging: Includes section with useful debugging techniques Strategy conditions Trade entry: LONG C1: Price is above EMA line C2: RSI is crossing out of oversold area SHORT C1: Price is below EMA line C2: RSI is crossing out of overbought area Trade exit: Stop Loss: Stop Loss ATR multiplier is hit Take Profit: R:R multiplier * Stop Loss is hit The idea is to use RSI to catch pullbacks within the main trend. Note that this strategy is intended to be a simple base strategy for building upon. It was not designed to be traded in its current form.
Pine Script™ strategy
by kevinmck100
10