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RSI Estocástico (STOCH RSI)

BB Running Away CandleHello, here is an indicator that can be helpful for your trading that is simple and easy to use. Our culprit here is a candle that opens and closes below the lower band of Bollinger Band, Black and red lines are put on the high and low of that candle. Green Arrows are happening when: 1- When candle closes above the black line and Stochastic RSI is in the oversold area >> "Confirmed B" 2- When candle closes above the black line >> "B" Note that you can choose from the settings whether you want it confirmed or not. Red Arrows are happening when: 1- Price reached the higher band of Bollinger Bands >> "BB High" 2- Stochastic crosses down from above 80 level >> "Stoch Crossdown" 3- RSI reached above 70 levle >> "RSI Oversold" Note that you can choose to turn these on or off from the settings. Settings of indicators are set to default. NOTE: Alerts are put there however i didn't get the chance to test them, so would like to hear your feedback about them. THE USE OF THIS INDICATOR IS YOUR OWN RESPONSIBILITY. wishing you the best.
Indicador Pine Script®
por FittestTrader
Macro Score - Dem. Fib. McGinley DynamicsA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger. The DFMG - Democratic Fibonacci McGinley Dynamic - is a separate indicator that we have released that takes 10 different Fibonacci McGinley Dynamics (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMG line. This helps by creating a consensus on the trend based on these dynamic lines alone. Crossovers of the DFMG with the various McGinley lengths as well as a cross of the price source and these lines can provide adequate long and short signals. This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to crosses of the DFMG line/McGinley(233) as well as the crosses of the McGinley(3)/DFMG. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These four signals hold a lighter weight than the McGinley cross signals. The macro score itself is printed in an underlay as a white line that goes between -10 and 10 for this strategy. In addition to the macro score line, a green momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to long and short thresholds for the macro score, defaulted to 5 and -5 respectively. Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. The option for adding in a trailing stop has also been included, with options to choose between an ATR-based trail or a percentage-based trail. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading. Profitview/Pineconnector Settings: If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. If using Pineconnector, follow the same directions for setting up an alert, but use the " ,buy, ,risk=" syntax as noted in the tooltips. Default Properties for AVAX 20M: DPO - 35 , uncentered CMO - 25, open K/D - 3/3 RSI Stoch Length - 3 Stoch Length - 4 Stoch Source - open JVB Length - 14 JVB Smoothing - 2 DFMG source - close Macro Length - 14 TP % - 1.5% TTP % - 0.005% SL % - 1.8%, no trail
Estratégia Pine Script®
por LeafAlgo
Stochastic Smooth Relative Strength Index (SSRSI)This is Stochastic RSI but it uses smoothed RSI instead. You use it the same as any other Stochastic RSI :) The features in this scripts are: RSI Length, Extra Smoothing, Extra Smooth RSI Filter, Stochastic Length, and K and D. I hope you find this release useful! The Stochastic RSI indicator ( Stoch RSI ) is essentially an indicator of an indicator. It is used in technical analysis to provide a stochastic calculation to the RSI indicator. This means that it is a measure of RSI relative to its own high/low range over a user defined period of time. The Stochastic RSI is an oscillator that calculates a value between 0 and 1 which is then plotted as a line. This indicator is primarily used for identifying overbought and oversold conditions.
Indicador Pine Script®
por The_Peaceful_Lizard
[@btc_charlie] Trader XO Macro Trend ScannerWhat is this script? This script has two main functions focusing on EMAs (Exponential Moving Average) and Stochastic RSI. EMAs EMAs are typically used to give a view of bullish / bearish momentum. When the shorter EMA (calculated off more recent price action) crosses, or is above, the slower moving EMA (calculated off a longer period of price action), it suggests that the market is in an uptrend. This can be an indication to either go long on said asset, or that it is more preferable to take long setups over short setups. Invalidation on long setups is usually found via price action (e.g. previous lows) or simply waiting for an EMA cross in the opposite direction (i.e. shorter EMA crosses under longer term EMA). This is not a perfect system for trade entry or exit, but it does give a good indication of market trends. The settings for the EMAs can be changed based on user inputs, and by default the candles are coloured based on the crosses to make it more visual. The default settings are based on “Trader XO’s” settings who is an exceptional swing trader. RSI Stochastic RSI is a separate indicator that has been added to this script. RSI measures Relative Strength (RSI = Relative Strength Index). When RSI is <20 it is considered oversold, and when >80 it is overbought. These conditions suggests that momentum is very strong in the direction of the trend. If there is a divergence between the price (e.g. price is creating higher highs, and stoch RSI is creating lower highs) it suggests the strength of the trend is weakening. Whilst this script does not highlight divergences, what it does highlight is when the shorter term RSI (K) crosses over D (the average of last 3 periods). This can give an indication that the trend is losing strength. Combination The EMAs indicate when trend shifts (bullish or bearish). The RSI indicates when the trend is losing momentum. The combination of the two can be used to suggest when to prefer a directional bias, and subsequently shift in anticipation of a trend reversal. Note that no signal is 100% accurate and an interpretation of market conditions and price action will need to be overlayed to Why is it different to others? I have not found other scripts that are available in this way visually including alerts when Stoch RSI crosses over/under the extremes; or the mid points. Whilst these indicators are default, the combination of them and how they are presented is not and makes use of the TradingView colouring functionalities. What are the features? Customise the variables (averages) used in the script. Display as one EMA or two EMAs (the crossing ones). Alerts on EMA crosses. Alerts on Stoch RSI crosses - slow/fast, upper, lower areas. - Currently set on the chart to show alerts when Stoch RSI is above 80, then falls below 80 (and colours it red). Customisable colours. What are the best conditions for this? It is designed for high timeframe charts and analysis in crypto, since crypto tends to trend. It can however be used for lower timeframes. Disclaimer/Notes: I have noticed several videos appearing suggesting that this is a "100% win rate indicator" . NO indicator has 100% win rate. An indicator is an *indicator* that is all. Please use responsibly and let me know if there are any mods or updates you would like to see.
Indicador Pine Script®
por btc_charlie
37
GKD-C ATR-Adaptive, Smoothed Laguerre RSI [Loxx]Giga Kaleidoscope ATR-Adaptive, Smoothed Laguerre RSI is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System". █ Giga Kaleidoscope Modularized Trading System What is Loxx's "Giga Kaleidoscope Modularized Trading System"? The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading. What is an NNFX algorithmic trading strategy? The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm: 1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc. 2. Baseline - a moving average to identify price trend 3. Confirmation 1 - a technical indicator used to identify trends 4. Confirmation 2 - a technical indicator used to identify trends 5. Continuation - a technical indicator used to identify trends 6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown 7. Exit - a technical indicator used to determine when a trend is exhausted How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above? Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are: 1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm) 2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm) 3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm) 4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm) 5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm) (additional module types will added in future releases) Each module interacts with every module by passing data between modules. Data is passed between each module as described below: GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy. This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm. What does the application of the GKD trading system look like? Example trading system: Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles Baseline: Hull Moving Average as shown on the chart above Volatility/Volume: Volatility Ratio as shown on the chart above Confirmation 1: ATR-Adaptive, Smoothed Laguerre RSI as shown on the chart above Confirmation 2: Williams Percent Range Continuation: Fisher Transform Exit: Rex Oscillator Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain. Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm) Standard Entry 1. GKD-C Confirmation 1 Signal 2. GKD-B Baseline agrees 3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean 4. GKD-C Confirmation 2 agrees 5. GKD-V Volatility/Volume agrees Baseline Entry 1. GKD-B Baseline signal 2. GKD-C Confirmation 1 agrees 3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean 4. GKD-C Confirmation 2 agrees 5. GKD-V Volatility/Volume agrees 6. GKD-C Confirmation 1 signal was less than 7 candles prior Continuation Entry 1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously 2. GKD-B Baseline hasn't crossed since entry signal trigger 3. GKD-C Confirmation Continuation Indicator signals 4. GKD-C Confirmation 1 agrees 5. GKD-B Baseline agrees 6. GKD-C Confirmation 2 agrees 1-Candle Rule Standard Entry 1. GKD-C Confirmation 1 signal 2. GKD-B Baseline agrees 3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean Next Candle: 1. Price retraced (Long: close < close or Short: close > close ) 2. GKD-B Baseline agrees 3. GKD-C Confirmation 1 agrees 4. GKD-C Confirmation 2 agrees 5. GKD-V Volatility/Volume agrees 1-Candle Rule Baseline Entry 1. GKD-B Baseline signal 2. GKD-C Confirmation 1 agrees 3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean 4. GKD-C Confirmation 1 signal was less than 7 candles prior Next Candle: 1. Price retraced (Long: close < close or Short: close > close ) 2. GKD-B Baseline agrees 3. GKD-C Confirmation 1 agrees 4. GKD-C Confirmation 2 agrees 5. GKD-V Volatility/Volume Agrees PullBack Entry 1. GKD-B Baseline signal 2. GKD-C Confirmation 1 agrees 3. Price is beyond 1.0x Volatility of Baseline Next Candle: 1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean 3. GKD-C Confirmation 1 agrees 4. GKD-C Confirmation 2 agrees 5. GKD-V Volatility/Volume Agrees █ ATR-Adaptive, Smoothed Laguerre RSI What is ATR-Adaptive, Smoothed Laguerre RSI? ATR-Adaptive, Smoothed Laguerre RSI is an adaptive Laguerre RSI indicator with smoothing to reduce noise. The Laguerre RSI indicator created by John F. Ehlers is described in his book "Cybernetic Analysis for Stocks and Futures". For this version, Instead of using fixed periods for Laguerre RSI calculation, this indicator uses an ATR ( average True Range ) adapting method to adjust the calculation period. This makes the RSI more responsive in some periods (periods of high volatility ), and smoother in order periods (periods of low volatility). There are two signal types: middle and levels. Requirements Inputs Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator Confirmation 2: GKD-C Confirmation indicator Outputs Confirmation 2 and Solo Confirmation: GKD-E Exit indicator Confirmation 1: GKD-C Confirmation indicator Continuation: GKD-E Exit indicator Additional features will be added in future releases.
Indicador Pine Script®
por loxx
1
Any Oscillator Underlay [TTF]We are proud to release a new indicator that has been a while in the making - the Any Oscillator Underlay (AOU) ! Note: There is a lot to discuss regarding this indicator, including its intent and some of how it operates, so please be sure to read this entire description before using this indicator to help ensure you understand both the intent and some limitations with this tool. Our intent for building this indicator was to accomplish the following: Combine all of the oscillators that we like to use into a single indicator Take up a bit less screen space for the underlay indicators for strategies that utilize multiple oscillators Provide a tool for newer traders to be able to leverage multiple oscillators in a single indicator Features: Includes 8 separate, fully-functional indicators combined into one Ability to easily enable/disable and configure each included indicator independently Clearly named plots to support user customization of color and styling, as well as manual creation of alerts Ability to customize sub-indicator title position and color Ability to customize sub-indicator divider lines style and color Indicators that are included in this initial release: TSI 2x RSIs (dubbed the Twin RSI ) Stochastic RSI Stochastic Ultimate Oscillator Awesome Oscillator MACD Outback RSI (Color-coding only) Quick note on OB/OS: Before we get into covering each included indicator, we first need to cover a core concept for how we're defining OB and OS levels. To help illustrate this, we will use the TSI as an example. The TSI by default has a mid-point of 0 and a range of -100 to 100. As a result, a common practice is to place lines on the -30 and +30 levels to represent OS and OB zones, respectively. Most people tend to view these levels as distance from the edges/outer bounds or as absolute levels, but we feel a more way to frame the OB/OS concept is to instead define it as distance ("offset") from the mid-line. In keeping with the -30 and +30 levels in our example, the offset in this case would be "30". Taking this a step further, let's say we decided we wanted an offset of 25. Since the mid-point is 0, we'd then calculate the OB level as 0 + 25 (+25), and the OS level as 0 - 25 (-25). Now that we've covered the concept of how we approach defining OB and OS levels (based on offset/distance from the mid-line), and since we did apply some transformations, rescaling, and/or repositioning to all of the indicators noted above, we are going to discuss each component indicator to detail both how it was modified from the original to fit the stacked-indicator model, as well as the various major components that the indicator contains. TSI: This indicator contains the following major elements: TSI and TSI Signal Line Color-coded fill for the TSI/TSI Signal lines Moving Average for the TSI TSI Histogram Mid-line and OB/OS lines Default TSI fill color coding: Green : TSI is above the signal line Red : TSI is below the signal line Note: The TSI traditionally has a range of -100 to +100 with a mid-point of 0 (range of 200). To fit into our stacking model, we first shrunk the range to 100 (-50 to +50 - cut it in half), then repositioned it to have a mid-point of 50. Since this is the "bottom" of our indicator-stack, no additional repositioning is necessary. Twin RSI: This indicator contains the following major elements: Fast RSI (useful if you want to leverage 2x RSIs as it makes it easier to see the overlaps and crosses - can be disabled if desired) Slow RSI (primary RSI) Color-coded fill for the Fast/Slow RSI lines (if Fast RSI is enabled and configured) Moving Average for the Slow RSI Mid-line and OB/OS lines Default Twin RSI fill color coding: Dark Red : Fast RSI below Slow RSI and Slow RSI below Slow RSI MA Light Red : Fast RSI below Slow RSI and Slow RSI above Slow RSI MA Dark Green : Fast RSI above Slow RSI and Slow RSI below Slow RSI MA Light Green : Fast RSI above Slow RSI and Slow RSI above Slow RSI MA Note: The RSI naturally has a range of 0 to 100 with a mid-point of 50, so no rescaling or transformation is done on this indicator. The only manipulation done is to properly position it in the indicator-stack based on which other indicators are also enabled. Stochastic and Stochastic RSI: These indicators contain the following major elements: Configurable lengths for the RSI (for the Stochastic RSI only), K, and D values Configurable base price source Mid-line and OB/OS lines Note: The Stochastic and Stochastic RSI both have a normal range of 0 to 100 with a mid-point of 50, so no rescaling or transformations are done on either of these indicators. The only manipulation done is to properly position it in the indicator-stack based on which other indicators are also enabled. Ultimate Oscillator (UO): This indicator contains the following major elements: Configurable lengths for the Fast, Middle, and Slow BP/TR components Mid-line and OB/OS lines Moving Average for the UO Color-coded fill for the UO/UO MA lines (if UO MA is enabled and configured) Default UO fill color coding: Green : UO is above the moving average line Red : UO is below the moving average line Note: The UO naturally has a range of 0 to 100 with a mid-point of 50, so no rescaling or transformation is done on this indicator. The only manipulation done is to properly position it in the indicator-stack based on which other indicators are also enabled. Awesome Oscillator (AO): This indicator contains the following major elements: Configurable lengths for the Fast and Slow moving averages used in the AO calculation Configurable price source for the moving averages used in the AO calculation Mid-line Option to display the AO as a line or pseudo-histogram Moving Average for the AO Color-coded fill for the AO/AO MA lines (if AO MA is enabled and configured) Default AO fill color coding (Note: Fill was disabled in the image above to improve clarity): Green : AO is above the moving average line Red : AO is below the moving average line Note: The AO is technically has an infinite (unbound) range - -∞ to ∞ - and the effective range is bound to the underlying security price (e.g. BTC will have a wider range than SP500, and SP500 will have a wider range than EUR/USD). We employed some special techniques to rescale this indicator into our desired range of 100 (-50 to 50), and then repositioned it to have a midpoint of 50 (range of 0 to 100) to meet the constraints of our stacking model. We then do one final repositioning to place it in the correct position the indicator-stack based on which other indicators are also enabled. For more details on how we accomplished this, read our section "Binding Infinity" below. MACD: This indicator contains the following major elements: Configurable lengths for the Fast and Slow moving averages used in the MACD calculation Configurable price source for the moving averages used in the MACD calculation Configurable length and calculation method for the MACD Signal Line calculation Mid-line Note: Like the AO, the MACD also technically has an infinite (unbound) range. We employed the same principles here as we did with the AO to rescale and reposition this indicator as well. For more details on how we accomplished this, read our section "Binding Infinity" below. Outback RSI (ORSI): This is a stripped-down version of the Outback RSI indicator (linked above) that only includes the color-coding background (suffice it to say that it was not technically feasible to attempt to rescale the other components in a way that could consistently be clearly seen on-chart). As this component is a bit of a niche/special-purpose sub-indicator, it is disabled by default, and we suggest it remain disabled unless you have some pre-defined strategy that leverages the color-coding element of the Outback RSI that you wish to use. Binding Infinity - How We Incorporated the AO and MACD (Warning - Math Talk Ahead!) Note: This applies only to the AO and MACD at time of original publication. If any other indicators are added in the future that also fall into the category of "binding an infinite-range oscillator", we will make that clear in the release notes when that new addition is published. To help set the stage for this discussion, it's important to note that the broader challenge of "equalizing inputs" is nothing new. In fact, it's a key element in many of the most popular fields of data science, such as AI and Machine Learning. They need to take a diverse set of inputs with a wide variety of ranges and seemingly-random inputs (referred to as "features"), and build a mathematical or computational model in order to work. But, when the raw inputs can vary significantly from one another, there is an inherent need to do some pre-processing to those inputs so that one doesn't overwhelm another simply due to the difference in raw values between them. This is where feature scaling comes into play. With this in mind, we implemented 2 of the most common methods of Feature Scaling - Min-Max Normalization (which we call "Normalization" in our settings), and Z-Score Normalization (which we call "Standardization" in our settings). Let's take a look at each of those methods as they have been implemented in this script. Min-Max Normalization (Normalization) This is one of the most common - and most basic - methods of feature scaling. The basic formula is: y = (x - min)/(max - min) - where x is the current data sample, min is the lowest value in the dataset, and max is the highest value in the dataset. In this transformation, the max would evaluate to 1, and the min would evaluate to 0, and any value in between the min and the max would evaluate somewhere between 0 and 1. The key benefits of this method are: It can be used to transform datasets of any range into a new dataset with a consistent and known range (0 to 1). It has no dependency on the "shape" of the raw input dataset (i.e. does not assume the input dataset can be approximated to a normal distribution). But there are a couple of "gotchas" with this technique... First, it assumes the input dataset is complete, or an accurate representation of the population via random sampling. While in most situations this is a valid assumption, in trading indicators we don't really have that luxury as we're often limited in what sample data we can access (i.e. number of historical bars available). Second, this method is highly sensitive to outliers. Since the crux of this transformation is based on the max-min to define the initial range, a single significant outlier can result in skewing the post-transformation dataset (i.e. major price movement as a reaction to a significant news event). You can potentially mitigate those 2 "gotchas" by using a mechanism or technique to find and discard outliers (e.g. calculate the mean and standard deviation of the input dataset and discard any raw values more than 5 standard deviations from the mean), but if your most recent datapoint is an "outlier" as defined by that algorithm, processing it using the "scrubbed" dataset would result in that new datapoint being outside the intended range of 0 to 1 (e.g. if the new datapoint is greater than the "scrubbed" max, it's post-transformation value would be greater than 1). Even though this is a bit of an edge-case scenario, it is still sure to happen in live markets processing live data, so it's not an ideal solution in our opinion (which is why we chose not to attempt to discard outliers in this manner). Z-Score Normalization (Standardization) This method of rescaling is a bit more complex than the Min-Max Normalization method noted above, but it is also a widely used process. The basic formula is: y = (x – μ) / σ - where x is the current data sample, μ is the mean (average) of the input dataset, and σ is the standard deviation of the input dataset. While this transformation still results in a technically-infinite possible range, the output of this transformation has a 2 very significant properties - the mean (average) of the output dataset has a mean (μ) of 0 and a standard deviation (σ) of 1. The key benefits of this method are: As it's based on normalizing the mean and standard deviation of the input dataset instead of a linear range conversion, it is far less susceptible to outliers significantly affecting the result (and in fact has the effect of "squishing" outliers). It can be used to accurately transform disparate sets of data into a similar range regardless of the original dataset's raw/actual range. But there are a couple of "gotchas" with this technique as well... First, it still technically does not do any form of range-binding, so it is still technically unbounded (range -∞ to ∞ with a mid-point of 0). Second, it implicitly assumes that the raw input dataset to be transformed is normally distributed, which won't always be the case in financial markets. The first "gotcha" is a bit of an annoyance, but isn't a huge issue as we can apply principles of normal distribution to conceptually limit the range by defining a fixed number of standard deviations from the mean. While this doesn't totally solve the "infinite range" problem (a strong enough sudden move can still break out of our "conceptual range" boundaries), the amount of movement needed to achieve that kind of impact will generally be pretty rare. The bigger challenge is how to deal with the assumption of the input dataset being normally distributed. While most financial markets (and indicators) do tend towards a normal distribution, they are almost never going to match that distribution exactly. So let's dig a bit deeper into distributions are defined and how things like trending markets can affect them. Skew (skewness): This is a measure of asymmetry of the bell curve, or put another way, how and in what way the bell curve is disfigured when comparing the 2 halves. The easiest way to visualize this is to draw an imaginary vertical line through the apex of the bell curve, then fold the curve in half along that line. If both halves are exactly the same, the skew is 0 (no skew/perfectly symmetrical) - which is what a normal distribution has (skew = 0). Most financial markets tend to have short, medium, and long-term trends, and these trends will cause the distribution curve to skew in one direction or another. Bullish markets tend to skew to the right (positive), and bearish markets to the left (negative). Kurtosis: This is a measure of the "tail size" of the bell curve. Another way to state this could be how "flat" or "steep" the bell-shape is. If the bell is steep with a strong drop from the apex (like a steep cliff), it has low kurtosis. If the bell has a shallow, more sweeping drop from the apex (like a tall hill), is has high kurtosis. Translating this to financial markets, kurtosis is generally a metric of volatility as the bell shape is largely defined by the strength and frequency of outliers. This is effectively a measure of volatility - volatile markets tend to have a high level of kurtosis (>3), and stable/consolidating markets tend to have a low level of kurtosis (<3). A normal distribution (our reference), has a kurtosis value of 3. So to try and bring all that back together, here's a quick recap of the Standardization rescaling method: The Standardization method has an assumption of a normal distribution of input data by using the mean (average) and standard deviation to handle the transformation Most financial markets do NOT have a normal distribution (as discussed above), and will have varying degrees of skew and kurtosis Q: Why are we still favoring the Standardization method over the Normalization method, and how are we accounting for the innate skew and/or kurtosis inherent in most financial markets? A: Well, since we're only trying to rescale oscillators that by-definition have a midpoint of 0, kurtosis isn't a major concern beyond the affect it has on the post-transformation scaling (specifically, the number of standard deviations from the mean we need to include in our "artificially-bound" range definition). Q: So that answers the question about kurtosis, but what about skew? A: So - for skew, the answer is in the formula - specifically the mean (average) element. The standard mean calculation assumes a complete dataset and therefore uses a standard (i.e. simple) average, but we're limited by the data history available to us. So we adapted the transformation formula to leverage a moving average that included a weighting element to it so that it favored recent datapoints more heavily than older ones. By making the average component more adaptive, we gained the effect of reducing the skew element by having the average itself be more responsive to recent movements, which significantly reduces the effect historical outliers have on the dataset as a whole. While this is certainly not a perfect solution, we've found that it serves the purpose of rescaling the MACD and AO to a far more well-defined range while still preserving the oscillator behavior and mid-line exceptionally well. The most difficult parts to compensate for are periods where markets have low volatility for an extended period of time - to the point where the oscillators are hovering around the 0/midline (in the case of the AO), or when the oscillator and signal lines converge and remain close to each other (in the case of the MACD). It's during these periods where even our best attempt at ensuring accurate mirrored-behavior when compared to the original can still occasionally lead or lag by a candle. Note: If this is a make-or-break situation for you or your strategy, then we recommend you do not use any of the included indicators that leverage this kind of bounding technique (the AO and MACD at time of publication) and instead use the Trandingview built-in versions! We know this is a lot to read and digest, so please take your time and feel free to ask questions - we will do our best to answer! And as always, constructive feedback is always welcome!
Indicador Pine Script®
por TheTrdFloor
2
Stochastic RSI ScreenerStochastic RSI Screener is built as an indicator and can be applied to any chart. It gives users the ability to choose 5 specific symbols to watch and then specify the required options to change the RSI and Stochastic settings in a way that fits their needs. This screener shows the values of (CURRENT PRICE, RSI, K-VALUE, D-VALUE) for each one of the specified symbols. It will do the calculations based on the currently opened timeframe for all symbols.
Indicador Pine Script®
por Forex_Associate
12
TradePro's 2 EMA + Stoch RSI + ATR StrategySaw TradePro's "NEW BEST HIGHEST PROFITING STRATEGY WITH CRAZY RESULTS - 2 EMA+ Stochastic RSI+ ATR", and was curious on the back testing results. This strategy is an attempt to recreate it. This strategy uses 50 / 200 EMAs, Stochastic RSI and ATR. Long Entry Criteria: - 50 EMA > 200 EMA - Price closes below 50 EMA - Stochastic RSI has gone into oversold < 20 - Stochastic RSI crosses up while making higher low from previous cross up Short Entry Criteria: - 50 EMA < 200 EMA - Price closes above 50 EMA - Stochastic RSI has gone into overbought > 80 - Stochastic RSI crosses down while making lower high from previous cross down Stop-loss is set to ATR stop-loss Take Profit is 2x the risk All parameters are configurable. Enjoy~~
Estratégia Pine Script®
por PtGambler
4
AII - Average indicator of indicatorsThis Pine Script for TradingView is a technical analysis tool that visualizes the average of several popular indicators in the trading world. The indicators included are the RSI (Relative Strength Index), RVI (Relative Vigor Index), Stochastic RSI, Williams %R, relative MACD (ranging from 0 to 100), and Bollinger Bands price distance from 0 to 100. The script uses the "input" function to customize the length of the indicators and the "plot" function to display the results on the chart. In addition, options are included to turn off certain indicators and change the line colors if the user desires. All indicators can also be activated independently, allowing the user to see only the indicators they want. It is also mentioned that the script will be improved in the future to offer a better user experience. The calculated values are calculated with the default EMA of 14. Overall, this script is an excellent option for those looking for a combined view of several important indicators for making trading decisions.
Indicador Pine Script®
por MrCancio
4
RSI Overbought/Oversold + Divergence IndicatorDESCRIPTION: This script combines the Relative Strength Index ( RSI ), Moving Average and Divergence indicator to make a better decision when to enter or exit a trade. - The Moving Average line (MA) has been made hidden by default but enhanced with an RSIMA cloud. - When the RSI is above the selected MA it turns into green and when the RSI is below the select MA it turns into red. - When the RSI is moving into the Overbought or Oversold area, some highlighted areas will appear. - When some divergences or hidden divergences are detected an extra indication will be highlighted. - When the divergence appear in the Overbought or Oversold area the more weight it give to make a decision. - The same color pallet has been used as the default candlestick colors so it looks familiar. HOW TO USE: The prerequisite is that we have some knowledge about the Elliot Wave Theory, the Fibonacci Retracement and the Fibonacci Extension tools. Wave 1 (1) When we receive some buy signals we wait until we receive some extra indications. (2) On the RSI Overbought/Oversold + Divergence Indicator we can see a Bullish Divergence and our RSI is changing from red to green ( RSI is higher then the MA). (3) If we are getting here into the trade then we need to use a stop loss. We put our stop loss 1 a 2 pips just below the lowest wick. We also invest maximum 50% of the total amount we want to invest. Wave 2 (4) Now we wait until we see a clear reversal and here we starting to use the Fibonacci Retracement tool. We draw a line from the lowest point of wave(1) till the highest point of wave (1). When we are retraced till the 0.618 fib also called the golden ratio we check again the RSI Overbought/Oversold + Divergence Indicator. When we see a reversal we do our second buy. We set again a stop loss just below the lowest wick (this is the yellow line on the chart). We also move the stop loss we have set in step (3) to this level. Wave 3 (5) To identify how far the uptrend can go we need to use the Fibonacci Extension tool. We draw a line from the lowest point of wave(1) till the highest point of wave (1) and draw it back to the lowest point of wave (2). Wave (3) is most of the time the longest wave and can go till it has reached the 1.618 or 2.618 fib. On the 1.618 we can take some profit. If we don't want to sell we move our stop loss to the 1 fib line (yellow line on the chart). (6) We wait until we see a clear reversal on the Overbought/Oversold + Divergence Indicator and sell 33% to 50% of our investment. Wave 4 (7) Now we wait again until we see a clear reversal and here we starting to use the Fibonacci Retracement tool. We draw a line from the lowest point of wave(2) till the highest point of wave (3). When we are retraced till the 0.618 fib also called the golden ratio we check again the RSI Overbought/Oversold + Divergence Indicator. When we see a reversal we buy again. We set again a stop loss just below the lowest wick (this is the yellow line on the chart). (8) If we bought at the first reversal ours stop los was triggered (9) and we got out of the trade. (9) If we did not bought at step (7) because our candle did not hit the 0.618 fib or we got stopped out of the trade we buy again at the reversal. Wave 5 (10) To identify how far the uptrend can go we need to use the Fibonacci Extension tool. We draw a line from the lowest point of wave(2) till the highest point of wave (3) and draw it back to the lowest point of wave (4). Most of the time wave 5 goes up till it has reached the 1 fib. And that is the point where we got out of the trade with all of our investment. In this trade we got out of the trade a bit earlier. We received the sell signals and got a reversal on the Overbought/Oversold + Divergence Indicator. We are hoping you learned something so you can make better decisions when to get into or out of a trade. If you have any question just drop it into the comments below. FEATURES: • You can show/hide the RSI . • You can show/hide the MA. • You can show/hide the lRSIMA cloud. • You can show/hide the Stoch RSI cloud. • You can show/hide and adjust the Overbought and Oversold zones. • You can show/hide and adjust the Overbought Extended and Oversold Extended zones. • You can show/hide the Overbought and Oversold highlighted zones. • Etc... HOW TO GET ACCESS TO THE SCRIPT: • Favorite the script and add it to your chart. REMARKS: • This advice is NOT financial advice. • We do not provide personal investment advice and we are not a qualified licensed investment advisor. • All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice. • We will not and cannot be held liable for any actions you take as a result of anything you read here. • We only provide this information to help you make a better decision. • While the information provided is believed to be accurate, it may include errors or inaccuracies. Good Luck and have fun, The CryptoSignalScanner Team
Indicador Pine Script®
por seoco
15
Bull Trend Filtered StochRSI (BTFS)Ride Bull Trends Via Stochastic with Special Rules for Heavy Bullish Bias TLDR: Long Only Trend Indicator Where you are always entered Long if the stochastic is over the lower band line and the price is above the Donchian Chanel high. Exit when Stochastic RSI is below the lower band. Indicators: Filter = Trend/Bullish indicator is Donchian of ema(high) this is set as the highest ema(high, 6) in the last 30 candles. this can be adjusted to fit the market as desired. **indicator prints green background when the filter condition is satisfied*** Entry Exit = enter when the Stoch RSI is above the given lower trend band. This value is set at 35 but can be adjusted according to risk tolerance and market conditions. Logic: this indicator allows a trader to be present during bullish/parabolic trends by only triggering if the close is > than the highest 6 candle average high over the last 30 candles. This filter requires the market to be in a generally bullish posture. If the market is in this condition the stochastic RSI indicator value offers a good gauge of price action and only goes significantly down if price trends below the average range of the rsi period. This filters out noise and keeps a trader from over trading on inconsequential corrections while responding fairly quickly to changes in general trend direction. the response is fast enough to produce an unprofitable amount of false signals if the bull market filter is not implemented. However when used in combination the signals return desirable results in bull trending markets. Hope this Helps. Happy Trades. -Snarky Puppy
Estratégia Pine Script®
por SnarkyPuppy
Rich Robin Index, The Crypto Fear & Greed Index with RSI Trend The Relative Strength Index (RSI) is a technical indicator based on price movements that is used to determine whether a particular asset is overbought or oversold. It measures the ratio of rising to falling prices over a certain period of time. The Fear & Greed Index, on the other hand, is a composite index that tracks the sentiment of the crypto market. It is based on seven indicators, each of which measures a different aspect of market behavior. These indicators are: Safe Haven Demand, Stock Price Breadth, Market Momentum, Stock Price Strength, Put and Call Options, Junk Bond Demand, and Market Volatility. The combination of the RSI and the Fear & Greed Index can provide valuable insights for crypto traders. The RSI can help identify overbought and oversold conditions, while the Fear & Greed Index can give an overall sense of the sentiment in the market. Together, they can provide a more complete picture of the market conditions. For example, if the RSI is indicating that an asset is overbought, but the Fear & Greed Index is showing that the market is still in a state of fear, it may be a good time to sell. On the other hand, if the RSI is indicating that an asset is oversold, but the Fear & Greed Index is showing that the market is in a state of greed, it may be a good time to buy. Overall, the combination of the RSI and the Fear & Greed Index can provide useful information for traders to make more informed decisions, by giving a sense of the market conditions, and providing a way to identify overbought and oversold conditions.
Indicador Pine Script®
por Quotum_consultancy
Stoch RSI 15 min - multi time frame tableABOUT THIS INDICATOR This indicator calculates the Stochastic RSI for the time frames 15 min, 30 min, 1h, 4h, and 12h. However, the 15 min time frame should always be the default time frame for your chart. IMPORTANT * NOTE! It's extremely important that the chosen time frame for your chart is 15 min. Otherwise the Stochastic RSI for the longer time frames won’t be correctly calculated. * Stochastic RSI will be calculated and displayed in a table for the time frames: 15 min, 30 min, 1h, 4h, 12h. * All time frames are based on closed bars except the "15minR" that are realtime updated values calculated on a 15 min time frame. ABOUT STOCHASTIC RSI The Stochastic RSI (StochRSI) is a momentum indicator that ranges between 0 and 100. A Stochastic RSI value above 80 is considered overbought and below 20 is considered oversold. By using different time frames you can get a better idea of what direction the trade could take in a "longer" perspective. SETTINGS 1.) Length RSI = 14 (default period) 2.) Smoothing parameter of Stochastic RSI (Length Moving Average = 3) . Moving average of stochastic RSI * By default the displayed Stochastic RSI values are smoothed values of the actual Stochastic RSI. The smoothnes is formed by a calculated moving average of with the length of 3 by default. If you want Stochastic RSI with a sharper signal (higher risk for "false alarms" being more sensitive) change the Length Moving Average to = 1 (no smoothness at all) You can see the selected "Length RSI" and "Length Moving Average" on top of the Stochastic RSI table. Next version of this script will be updated with more a more flexible solution for different time frames. * NOTE, Tradingview comes with a inbuilt Stochastic RSI. See the the chart below. The blue line in the Stochastic-RSI chart represents (K value = 3) the same value as the script calculate/display in the table.
Indicador Pine Script®
por TaTaTaCrypto
2
RSI Bands [APIDEVs]RSI BANDS: It is an exclusive product of ApiDevs, this indicator selectively integrates a series of highly advanced algorithms that aim to provide the trader with an effective and profitable trading system, based on a series of conditions that project the price direction with a reasonable probability. This indicator bears the name of “RSI Bands”, this is because we have based this trading system on the “Relative Strength Index ( RSI )”, the strength of this indicator is centennial and we at APIDEVs have decided to focus our efforts on the development of powerful tools based on the favorite indicators of the afternoon. WHAT IT HAS INCORPORATED: 1. Exponential Moving Average (EMAs): The RSI Bands has, by default, a band composed of two moving averages of 10 and 55 exponential periods, which can be modified in the indicator menu. • Possibility of changing the value of the EMAs. • Function was enabled to change the color and transparency of the bands. • Visual alerts SHORT (L) and LONG (L) were added when there is the crossing of the EMAS. • Hull Moving Average ( HMA ) of 100 periods was also incorporated, also modifiable for those who wish to strengthen their visual analysis. (Disabled by default) • We also add an Exponential Moving Average ( EMA ) of 200 periods to mark the trend. (Disabled by default). 2. ATR ( Average True Range ): This indicator has two main functions in the RSI Bands, the first is to mark the trend of the asset and the second is to establish a margin of safety in price volatility , that is, a maximum estimate of the setbacks without this representing a change in the direction of the price. 3. RSI ( Relative Strength Index ): It was visually incorporated into the RSI Bands, the graph is obtained on the right side and its purpose is to visually indicate where the price is with respect to the RSI PRO+ indicator, offering the following improvements : • ALERT SYSTEM: THE RSI PRO+ has the ADX incorporated into its algorithm, which allows establishing a filter that will provide reliable inputs, represented by the LONG (L) and SHORT (S) signals. • FILTER AGAINST TREND: The signals described above will be activated according to the crossing of the RSI above the 50 point, provided that the ADX agrees with the market direction. • Possibility of deactivating this graphical representation. 4. ADX ( Average Directional Index ): The ADX in this indicator is intended to estimate the strength of the movement, it is present in each part of the code, either to indicate the strength of the market or to serve as a filter against trend. In the same way, we apply certain exclusive improvements for this indicator: • It was established as default values of the ADX that the Level Range was 10 and the Level Trend 25. This significantly changes the behavior of this indicator, almost completely eliminating the zone of disinterest that was usually considered. • A function was activated to paint the sails the color of the ADX . 5. ADX Ocillator: Yes, we developed a Wave oscillator type ADX and incorporated it into this strategy. From this indicator, which we recommend using in conjunction with the RSI Bands, we extracted the LONG (L) and SHORT (S) signals. The ADX Oscillator is the improved version of the traditional ADX as it offers the following improvements: • Its interpretation is much simpler. • Allows you to set entry and exit signals during the trend change and during the price path. • It has an integrated alert system. STRATEGY PANEL: This panel is an exclusive creation of APIDEVs, and its purpose is to parameterize five conditionals based on the indicators that make up our RSI strategy, giving the trader an immediate vision of the status of the asset analyzed considering this strategy. That is, we decided to transfer our experience of using this indicator on a panel that will project the price trajectory visually. It has the following characteristics: • It can be placed anywhere on the screen through the main menu of the indicator, it can even be deactivated. • It can be resized, we designed this to adapt to all types of screens, including those of mobile phones. • It has an upper panel called "Project" which will calculate the percentage probability that the price has to take a direction based on all the indicators incorporated into the strategy. Their values range from (+ 100%) to (-100%). STRATEGY PANEL PARAMETERS: 1. EMAs: This panel has 2 variables: • LONG: If the fast EMA is above the slow EMA . • SHORT: If the fast EMA is below the slow EMA . 2. RSI: This panel has 3 variables: • LONG: The RSI should be bullish (green) and above the 50 point. • SHORT: The RSI should be bearish (red) and be below the 50 point. • RANK: (Range)this condition is activated when there is no concordance with the RSI condition and its crossing. 3. ATR: This panel has 2 variables: • LONG: When the price is above the ATR. • SHORT: When the price is below the ATR. 4. ADX: This panel has 3 variables: • LONG: The ADX is green. That is, the DI + is above the DI-. • SHORT: The ADX is red. That is, the DI- is above the DI +. • RANK: ADX is below point 10. It also has a numerical value that indicates the value of the ADX and two texts indicating the strength of the trend: • Trend ( bullish or bearish ). • Strong trend ( bullish or bearish ). 5. OSC: This panel has 3 variables: • LONG: The oscillator slopes upward and the built-in ADX is green. • SHORT: The oscillator slopes downward and the built-in ADX is red. • RANK: The oscillator slopes downward and the built-in ADX is green and the opposite. In short, there is no coherence in the movement of the oscillator and the projection of the ADX .
Indicador Pine Script®
por apidevelopers
13
Stochastic RSI with crossover-indication and alertsOn the normal Stochastic RSI it may be hard to see the exact crosses between the two lines. This version makes that a little easier. Shows green line when K-line crosses up the D-line, but below the 50-level (this treshold level can be adjusted in the settings). Shows red line when K-line crosses down the D-line, but above the 50-level (treshold level can be adjusted). Option to show lines on the subsequent one or two bars. For instance you can use a rule that a crossover is still valid for trade-entry when it happened 2 bars ago.
Indicador Pine Script®
por Tersted
1
Macro Score - DFMA-BasedA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger. The DFMA - Democratic Fibonacci Moving Average - is a separate indicator that we have released that takes 10 different Fibonacci MAs (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMA line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMA with the various Fib MA lengths as well as a cross of the price source and these lines can provide adequate long and short signals. This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to crosses of the DFMA line/Fib MA (233) as well as the crosses of the Fib MA (3)/DFMA. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These foursignals hold a lighter weight than the MA cross signals. The macro score itself is printed in an underlay as a white line that goes between -10 and 10 for this strategy. In addition to the macro score line, a blue momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score (-5/5). Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading. Profitview Settings: If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. Default Properties, for AVAX 20M: DPO - 40, uncentered CMO - 25, open K/D - 3/3 RSI Stoch Length - 3 Stoch Length - 4 Stoch Source - open JVB Length - 25 JVB Smoothing - 2 DFMA source - close Macro Length - 13 TP % - 1.5% TTP % - 0.005% SL % - 2%
Estratégia Pine Script®
por LeafAlgo
MarsMine_OverThis indicator marks the area where the overbought/oversold section of the Stochastic RSI and the overbought/oversold section of the RSI overlap with arrows. If an upward arrow appears on the indicator, it can be recognized that both StoRSI and RSI have entered the oversold zone. When a down arrow appears, both the StoRSI and RSI can be considered to have entered the overbought zone. This is a good signal to identify the direction of the future trend. 이 지표는 Stochastic RSI의 과매수/과매도 구간과 RSI의 과매수/과매도 구간이 겹치는 구간을 화살표로 표기 해주는 지표 입니다. 해당 지표에서 상승 화살표가 출현할 경우에는 StoRSI와 RSI 모두 과매도 구간에 진입했다고 인식할 수 있으며, 하락 화살표가 출현할 경우에는 StoRSI와 RSI 모두 과매수 구간에 진입했다고 인식할 수 있습니다. 이는 추후 추세의 방향성을 파악할 수 있는 좋은 시그널 입니다.
Indicador Pine Script®
por MarsMine
Vector ScalerVector Scaler is like Stochastic but it uses a different method to scale the input. The method is very similar to vector normalization but instead of keeping the "vector" we just sum the three points and average them. The blue line is the signal line and the orange line is the smoothed signal line. I have added the "J" line from the KDJ indicator to help spot divergences. Differential mode uses the delta of the input for the calculations. Here are some pictures to help illustrate how this works relative to other popular indicators. Vector Scaler vs Stochastic Vector Scaler vs Smooth Stochastic RSI average set to 100 average set to 200
Indicador Pine Script®
por The_Peaceful_Lizard
Macro Score - TSI-BasedA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger. This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to various TSI (True Strength Index) signals, including a crossover/crossunder of TSI signal and TSI value, a threshold for the TSI Signal (above or below 0), and a crossover/crossunder of the CMO (Chande Momentum Oscillator) and the TSI signal line. Additionally, there are thresholds for DPO (Detrended Price Oscillator, above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These three signals hold a lighter weight than the three TSI signals. The macro score itself is printed in an underlay as a white line that goes between -10 and 10 for this strategy. In addition to the macro score line, a red momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score (-6/6). Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading. Profitview Settings: If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Estratégia Pine Script®
por LeafAlgo
1
Stochastic Buy Sell with EMA TrendStochastic Buy Sell with EMA Trend is combination of two indicators only. The Stochastic Oscillator ( STOCH ) is a range bound momentum oscillator. The Stochastic indicator is designed to display the location of the close compared to the high/low range over a user defined number of periods. Typically, the Stochastic Oscillator is used for three things; Identifying overbought and oversold levels, spotting divergences and also identifying bull and bear set ups or signals. The Exponential Moving Average (EMA) is a specific type of moving average that points towards the importance of the most recent data and information from the market. 1) Stochastic - It is giving signal whenever cross happen in oversold or overbought zone. 2) EMA 200 - EMA 200 is used to identify market trend. Long : If stochastic giving buy signal and price is over 200 EMA. Short : If stochastic giving sell signal and price is below 200 EMA.
Indicador Pine Script®
por RealTradingIndicator
8
RSI + Stothis one can be used for over-bought and oversold 1d time frame is the best time frame for using this indicator 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 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. T traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
Indicador Pine Script®
por MaleeshaGamage