Stochastic RSI Buy/Sell SignalThis indicator will show you a red circle above candles when Stoch RSI K value is greater than your "overbought" value, and a green circle above candles when Stoch RSI K value is below your "oversold" value. Updatable oversold and overbought values.
Stochastique RSI (STOCH RSI)
Stochastic Trend Evaluator (STE)Stochastic Trend Evaluator (STE): Detailed Description
Overview :
The Stochastic Trend Evaluator (STE) is a sophisticated trading tool designed for TradingView that combines stochastic oscillation analysis with Exponential Moving Average (EMA) trends. It is tailored to assist traders in identifying potential buy and sell opportunities in various market conditions, particularly focusing on trend reversals and momentum shifts.
Functionality & Concept :
The STE is built on two core components – the Stochastic Oscillator and the 200-period EMA.
Stochastic Oscillator :
This oscillator is a momentum indicator comparing a particular closing price of a security to a range of its prices over a certain period.
Settings:
- %K Length: 14
- %K Smoothing: 3
- %D Smoothing: 3
The %K line is the main line indicating momentum, while the %D line is a moving average of %K, providing signal triggers.
200 EMA :
The 200-period EMA serves as a dynamic trend indicator.
It helps in distinguishing between bullish and bearish market phases.
A closing price above the 200 EMA suggests a bullish trend, while below it indicates a bearish trend.
Signal Generation :
STE generates signals based on the interaction between the Stochastic Oscillator and the 200 EMA.
Buy Signal :
Occurs when the stochastic %K crosses above 20 (indicative of oversold conditions), and the closing price is above the 200 EMA.
Represented visually by green label-up arrows.
Sell Signal :
Triggered when the stochastic %K crosses below 80 (suggestive of overbought conditions), and the closing price is below the 200 EMA.
Indicated by red label-down arrows.
Background Color Indicator :
The background color of the chart changes to enhance visual interpretation of the market condition.
Green background for a bullish market scenario (when a buy signal is active).
Red background for a bearish market scenario (when a sell signal is active).
Usage Guidelines :
The STE is best used in markets that exhibit clear trends.
Ideal for traders focusing on medium to long-term trade setups.
Can be used in conjunction with other indicators for confirmation and risk management.
Note : The STE, being a proprietary tool, is based on a unique blend of standard technical analysis concepts and custom logic to provide these trading signals. It is designed to give traders a comprehensive view of the market momentum and trend strength without revealing the intricate details of its algorithm.
RSI MFI MultiTimeframe Oversold/OverboughtHello Traders,
This indicator is designed to easily visualize the overbought/oversold states of RSI and MFI across multiple timeframes.
The indicator is very straightforward.
The deeper the red, the closer it is to 0, and the deeper the green, the closer it is to 100. The intermediate values are rendered in a transparent gray to focus on the key regions.
However, I understand that traders may have an interest in knowing the most recent state of the oscillator, whether it was overbought or oversold.
For this reason, I have included the 'Gradient Color' option in the color settings.
By turning off this option, you can easily see at a glance which region the oscillator was in most recently.
(Gradient Color Option Off)
In addition, I know that many traders are interested in the actual RSI/MFI values across multiple timeframes.
Thus, I have displayed the RSI/MFI values for each timeframe on the far right.
Furthermore, although the name of this indicator is RSI MFI MultiTimeframe Oversold/Overbought, I have also included the Stochastic RSI as an option, as I find it personally useful.
Feel free to use it if you find it helpful.
GKD-C Alpha Trend [Loxx]The Giga Kaleidoscope GKD-C Alpha Trend is a confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System."
█ GKD-C Alpha Trend
Alpha Trend first determines the average true range (ATR) and computes up and down trends based on the ATR. It then evaluates conditions based on relative strength index (RSI) or money flow index (MFI) to define a value named 'Alpha'. The algorithm then compares the current 'Alpha' value to its previous values to determine potential buy or sell signals. Finally, it counts the number of bars (or periods) since the last buy or sell signal was triggered and uses this information generate signals.
█ Giga Kaleidoscope Modularized Trading System
Core components of 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
8. Metamorphosis - a technical indicator that produces a compound signal from the combination of other GKD indicators*
*(not part of the NNFX algorithm)
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
What is an Metamorphosis indicator?
The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, or GKD-E slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v2.0 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)
6. GKD-M - Metamorphosis module (Metamorphosis, Number 8 in the NNFX algorithm, but not part of the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data to A backtest module wherein the various components of the GKD system are combined to create a trading signal.
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: Multi-Ticker CC Backtest
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Advance Trend Pressure as shown on the chart above
Confirmation 2: uf2018
Continuation: Coppock Curve
Exit: Rex Oscillator
Metamorphosis: Baseline Optimizer
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system.
█ Giga Kaleidoscope Modularized Trading System Signals
Standard Entry
1. GKD-C Confirmation gives signal
2. Baseline agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
1-Candle Standard Entry
1a. GKD-C Confirmation gives signal
2a. Baseline agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
7. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
1-Candle Baseline Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Volatility/Volume Entry
1. GKD-V Volatility/Volume gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Volatility/Volume Entry
1a. GKD-V Volatility/Volume gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSVVC Bars Back' prior
Next Candle
1b. Price retraced
2b. Volatility/Volume agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Baseline agrees
Confirmation 2 Entry
1. GKD-C Confirmation 2 gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Volatility/Volume agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Confirmation 2 Entry
1a. GKD-C Confirmation 2 gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSC2C Bars Back' prior
Next Candle
1b. Price retraced
2b. Confirmation 2 agrees
3b. Confirmation 1 agrees
4b. Volatility/Volume agrees
5b. Baseline agrees
PullBack Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price is beyond 1.0x Volatility of Baseline
Next Candle
1b. Price inside Goldie Locks Zone Minimum
2b. Price inside Goldie Locks Zone Maximum
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Continuation Entry
1. Standard Entry, 1-Candle Standard Entry, Baseline Entry, 1-Candle Baseline Entry, Volatility/Volume Entry, 1-Candle Volatility/Volume Entry, Confirmation 2 Entry, 1-Candle Confirmation 2 Entry, or Pullback entry triggered previously
2. Baseline hasn't crossed since entry signal trigger
4. Confirmation 1 agrees
5. Baseline agrees
6. Confirmation 2 agrees
Alxuse Stochastic RSI for tutorial All abilities of Stochastic RSI, moreover :
Drawing upper band and lower band & the ability to change values, change colors, turn on/off show.
Crossing K line and D line in multi timeframe & there are symbols (Circles) with green color (Buy) and red color (Sell) & the ability to change colors, turn on/off show.
Crossing K line and D line in multi timeframe according to the values of upper band and lower band & there are symbols (Triangles) with green color (Long) and red color (Short) & the ability to change colors, turn on/off show.
The ability used in the alert section and create customized alerts.
To receive valid alerts the replay section , the timeframe of the chart must be the same as the timeframe of the indicator.
Stochastic RSI (STOCH RSI)
Definition
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.
The basics
It is important to remember that the Stoch RSI is an indicator of an indicator making it two steps away from price. RSI is one step away from price and therefore a stochastic calculation of the RSI is two steps away. This is important because as with any indicator that is multiple steps away from price, Stoch RSI can have brief disconnects from actual price movement. That being said, as a range bound indicator, the Stoch RSI's primary function is identifying crossovers as well as overbought and oversold conditions.
The basics
It is important to remember that the Stoch RSI is an indicator of an indicator making it two steps away from price. RSI is one step away from price and therefore a stochastic calculation of the RSI is two steps away. This is important because as with any indicator that is multiple steps away from price, Stoch RSI can have brief disconnects from actual price movement. That being said, as a range bound indicator, the Stoch RSI's primary function is identifying crossovers as well as overbought and oversold conditions.
Overbought/Oversold
Overbought and Oversold conditions are traditionally different than the RSI. While RSI overbought and oversold conditions are traditionally set at 70 for overbought and 30 for oversold, Stoch RSI are typically .80 and .20 respectively. When using the Stoch RSI, overbought and oversold work best when trading along with the underlying trend.
During an uptrend, look for oversold conditions for points of entry.
During a downtrend, look for overbought conditions for points of entry.
Summary
When using Stoch RSI in technical analysis, a trader should be careful. By adding the Stochastic calculation to RSI, speed is greatly increased. This can generate many more signals and therefore more bad signals as well as the good ones. Stoch RSI needs to be combined with additional tools or indicators in order to be at its most effective. Using trend lines or basic chart pattern analysis can help to identify major, underlying trends and increase the Stoch RSI's accuracy. Using Stoch RSI to make trades that go against the underlying trend is a dangerous proposition.
The added features to the indicator are made for training, it is advisable to use it with caution in tradings.
RSI Divergence SmoothedRSI Divergence Smoothed
This indicator is based on the RSI Divergence indicator by @InvestitoreComune.
The "RSI Divergence Smoothed" is a custom technical indicator designed to highlight divergence between two RSI (Relative Strength Index) lines: a fast RSI and a slow RSI. The divergence is then visualized on the chart, assisting traders in recognizing potential market reversals and trend continuation.
Here's a breakdown of its smoothing options added:
1. **WMA Difference**: The indicator first computes a weighted moving average (WMA) difference, which takes the difference between the WMA of half the input length and the WMA of the full length.
2. **Hull Moving Average (HMA)**: The indicator can use the HMA as a filter. HMA combines the benefits of a simple moving average and a linear weighted moving average, aiming to be faster in response to price changes.
3. **Sine Weighted Moving Average (SWMA)**: Another filter option, SWMA, weighs the data points by the sine of their position in the data set, giving more weight to the central data points.
4. **Kaufman's Adaptive Moving Average (KAMA)**: KAMA adapts to price volatility and can also be used as a filter. It's especially useful in choppy markets, adjusting the smoothing constant based on the relative volatility of the price series.
5. **Gaussian Moving Average (GMA)**: This filter uses a Gaussian kernel to weigh the data points, emphasizing the more recent data while giving lesser importance to older data. It helps smooth out the price data, potentially eliminating some of the noise.
I've personally found the KAMA smoothing to be most helpful but keen to hear of anyone's personal experiences and recommendations.
RSI divergence computations are based on the filtered price (or raw price if no filter is chosen) - the indicator calculates two RSIs:
- Fast RSI: With a default length of 5 periods.
- Slow RSI: With a default length of 14 periods.
The core functionality of this indicator is to compute the divergence between the Fast and Slow RSI. The divergence is plotted on the chart, with the color indicating its direction: white for positive divergence and red for negative.
Heuristic Bg Color Hodl/swing/scalp [Ox_kali]The "Heuristic BG Color Hodl/Swing/Scalp " is a multi-faceted technical indicator designed to aid traders across varying investment strategies such as long-term holding (Hodl), swing trading, and scalping. Optimized to run on a range of timeframes from seconds to months. Built upon an intricate layering of moving averages, market oscillators. The indicator displays a color range from light green to deep red, based on market conditions. This tool aims to provide an analytical edge by visualizing market conditions in a straightforward manner. Incorporating both trend-following and oscillatory components both trend-following and oscillating components to furnish a more rounded view of the market. Note that this indicator is best used in conjunction with other forms of market analysis and should not be solely relied upon for making trading decisions.
Key Features:
Multiple Moving Averages: Utilizes Fast and Slow MAs to identify trend momentum.
Modified RSI and MFI: Incorporates RSI and MFI to gauge overbought and oversold conditions.
Stoch RSI Indicator: Used to provide additional confirmation for trading signals.
Dynamic Background Color: Highlights potential Buy and Sell zones using background color for easier visual interpretation.
Alert Conditions: Trigger customizable alerts for Buy and Sell zones.
Functionality Analysis:
The script allows you to select the type and period for Fast and Slow moving averages. It uses these MAs to calculate an underlying trend momentum, further refined by a user-defined MA.
The RSI and MFI are used to identify overbought and oversold conditions calculated and smoothed over a user-defined period. The Stoch RSI gives an additional layer of confirmation, allowing traders to identify more reliable trading signals.
The script's main visual feature is the background color, which changes based on potential Buy and Sell zones. It provides two layers for each, enabling traders to understand the strength of the signal. Notably, the indicator is particularly optimized for identifying Buy Zones and is more functional for detecting Sell Zones when applied to larger timeframes.
Trading Application:
The "Heuristic BG Color Hodl/Swing/Scalp" indicator can adapt to various trading styles, from long-term investment to short-term trading. When the background turns green, it signifies a potential Buy Zone, ideal for entering long positions. Conversely, a red background indicates a Sell Zone, suggesting it may be a good time to exit positions or go short.
Traders can also utilize the alert conditions set within the script to receive real-time notifications, making it easier to capitalize on potential market opportunities.
Please note that the "Heuristic BG Color Hodl/Swing/Scalp" by Ox_kali is intended for educational purposes only and does not constitute financial advice. This indicator is not a guarantee of future market performance and should be used alongside proper risk management strategies. Ensure you fully understand the methodology and limitations of this indicator before making any trading decisions. Past performance is not indicative of future results.
Multiple Ticker Stochastic RSIThe Stochastic RSI is a technical indicator ranging between 0 and 100, based on applying the Stochastic oscillator formula to a set of relative strength index (RSI). Unlike the original Stochastic RSI indicator, this allows you to define up to two additional tickers for which all three will be averaged and outputted visually looking like a standard Stochastic RSI indicator. Potential buy and sell visuals are included, as well as alerts. Please note that this indicator is not meant to be used by itself.
UvRSIUvRSI (Ultra-violent RSI) is my first and most used script, it all started from here, both my trading and coding career and it is now available to the public for free.
This indicator is an hybrid indicator that (as suggested by the name) is mostly based on RSI, even if is a modified version of it.
I made this indicator once I seen multiple correlation between RSI and Stochastic RSI and I started using the basic indicators to trade.
But I wasn't satisfied by both, I think I could have a better hedge by removing some noise around, even if when you launch it it's like hyper "dirty*, stick around, because you can pretty modify anything in it.
What you see here is the hybrid RSI/Stock RSI version
The green/red line is representing the RSI, it changes from green to red given by a WMA calculation on the RSI itself
The dots you seen is where the StochRSI crossed, bullish or bearish
The purple background represent the actual Stoch RSI line, that I decided to keep plotted not in a line version to not get confused with the RSI, it's also the less important info IMHO you can find here, since the dots you seen when a Stoch cross already represent where the cross happended by the shape of the dot. (diamond shape: stong cross, dot: normal cross, cross: not the best, yellow cross: weak)
If this seems confusing, and you want to stick to another background as an info, in setting enable "alpha rainbow waves" and you background will look like this:
Alpha waves is another indicator I developed that I was able to merge into UVRSI and I think is powerful.
Is a way to apply price action theories into the RSI itself
A green cloud will appear when the indicator is bullish, or red if is bearish, it let you see when the UvRSI is kinda of exhausted by plotting a yellow apex above or below the main cloud, indicating that we are out the most latest traded areas, it suggest a possible change of direction or trend.
The indicator includes settings to change anything from the RSI to the Cloud to the Stoch to the WMA used to adapt it to any style of tradin g you prefer, I did use it andI do still prefer it over the normal RSI we are all used to since IMHO I was able to archieve a cleaner version of possible signal given by the indicator
Extreme Reversal SignalThe Extreme Reversal Signal is designed to signal potential pivot points when the price of an asset becomes extremely overbought or oversold. Extreme conditions typically signal a brief or extensive price reversal, offering valuable entry or exit points. It's important to note that this indicator may produce multiple signals, making it essential to corroborate these signals with other forms of analysis to determine their validity. While the default settings provide valuable insights, it might be beneficial to experiment with different configurations to ensure the indicator's efficacy.
Two primary conditions define extremely overbought and oversold states. The first condition is that the price must deviate by two standard deviations from the 20-day Simple Moving Average (SMA). The second condition is that the 3-day SMA of the 14-day Stochastic Oscillator (STO) derived from the 14-day Relative Strength Index (RSI) is above or below the upper or lower limit.
Oversold states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI falls below the lower limit, suggesting a buy signal. These are visually represented by green triangles below the price bars. Overbought states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI rises above the upper limit, suggesting a sell signal. These are visually represented by red triangles above the price bars. It's also possible to set up automated alerts to get notifications when either of these two conditions is met to avoid missing out.
While this indicator has traditionally identified overbought and oversold conditions in various different assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, trend indicators can greatly improve the decision-making process when planning for entries and exit points.
12&50 RSI + %R2/50 RSI+ %R is a PineScript indicator that combines two popular technical indicators, the Relative Strength Index (RSI) and the Williams %R. The indicator plots two lines, K and D, which represent the smoothed moving averages of the RSI. It also plots the RSI with a 60-period length and the Williams %R with a 21-period length. The indicator can be used to identify overbought and oversold conditions, as well as potential reversals.
Here are some of the key features of the script:
It uses two different RSI lengths to provide a more comprehensive view of the market.
It plots the Williams %R, which can be used to identify overbought and oversold conditions.
It includes overbought and oversold levels to help traders identify potential entry and exit points.
Kalman Filtered ROC & Stochastic with MA SmoothingThe "Smooth ROC & Stochastic with Kalman Filter" indicator is a trend following tool designed to identify trends in the price movement. It combines the Rate of Change (ROC) and Stochastic indicators into a single oscillator, the combination of ROC and Stochastic indicators aims to offer complementary information: ROC measures the speed of price change, while Stochastic identifies overbought and oversold conditions, allowing for a more robust assessment of market trends and potential reversals. The indicator plots green "B" labels to indicate buy signals and blue "S" labels to represent sell signals. Additionally, it displays a white line that reflects the overall trend for buy signals and a blue line for sell signals. The aim of the indicator is to incorporate Kalman and Moving Average (MA) smoothing techniques to reduce noise and enhance the clarity of the signals.
Rationale for using Kalman Filter:
The Kalman Filter is chosen as a smoothing tool in the indicator because it effectively reduces noise and fluctuations. The Kalman Filter is a mathematical algorithm used for estimating and predicting the state of a system based on noisy and incomplete measurements. It combines information from previous states and current measurements to generate an optimal estimate of the true state, while simultaneously minimizing the effects of noise and uncertainty. In the context of the indicator, the Kalman Filter is applied to smooth the input data, which is the source for the Rate of Change (ROC) calculation. By considering the previous smoothed state and the difference between the current measurement and the predicted value, the Kalman Filter dynamically adjusts its estimation to reduce the impact of outliers.
Calculation:
The indicator utilizes a combination of the ROC and the Stochastic indicator. The ROC is smoothed using a Kalman Filter (credit to © Loxx: ), which helps eliminate unwanted fluctuations and improve the signal quality. The Stochastic indicator is calculated with customizable parameters for %K length, %K smoothing, and %D smoothing. The smoothed ROC and Stochastic values are then averaged using the formula ((roc + d) / 2) to create the blended oscillator. MA smoothing is applied to the combined oscillator aiming to further reduce fluctuations and enhance trend visibility. Traders are free to choose their own preferred MA type from 'EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', and 'PEMA' (credit to: © traderharikrishna for this code: ).
Application:
The indicator's buy signals (represented by green "B" labels) indicate potential entry points for buying assets, suggesting a bullish trend. The white line visually represents the trend, helping traders identify and follow the upward momentum. Conversely, the sell signals (blue "S" labels) highlight possible exit points or opportunities for short selling, indicating a bearish trend. The blue line illustrates the bearish movement, aiding in the identification of downward momentum.
The "Smoothed ROC & Stochastic" indicator offers traders a comprehensive view of market trends by combining two powerful oscillators. By incorporating the ROC and Stochastic indicators into a single oscillator, it provides a more holistic perspective on the market's momentum. The use of a Kalman Filter for smoothing helps reduce noise and enhance the accuracy of the signals. Additionally, the indicator allows customization of the smoothing technique through various moving average types. Traders can also utilize the overbought and oversold zones for additional analysis, providing insights into potential market reversals or extreme price conditions. Please note that future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance.
RSI with J-Line ***For ease of use, I recommend changing the J Histogram to a line indicator, then it works like the KDJ Stochastic indicator. Full disclosure, I created this script with the help of GPT. This script was inspired by the KDJ Stochastic indicator by Dreadblitz***
The "RSI with J-Line" script is essentially a modified Relative Strength Index (RSI) indicator with an added histogram component. Here's how to use the different components of the script:
RSI Line (Blue): The RSI is a momentum oscillator that measures the speed and change of price movements. It oscillates between zero and 100, and is typically used to identify overbought and oversold conditions in a market. Traditionally, readings over 70 are considered overbought, and readings under 30 are considered oversold. However, these are not strict rules and can vary depending on the market and the overall trend.
RSI Smooth Line (Orange): This is the simple moving average of the RSI. It helps to smooth out the RSI and to identify the overall trend of the momentum. When the RSI line crosses above the RSI Smooth line, it might indicate that the momentum is moving upwards. When the RSI line crosses below the RSI Smooth line, it might indicate that the momentum is moving downwards.
RSI J-Line (Red Histogram): The J-Line is an additional line that's calculated as 3*rsiSmooth - 2*rsi. It's similar to the %J line in the Stochastic indicator and is designed to provide quicker signals than the RSI or RSI Smooth line. When the histogram is above the 0 line, it might indicate bullish momentum. When it's below the 0 line, it might indicate bearish momentum.
Please note that these interpretations are standard for these types of indicators, but actual market behavior can be complex and is influenced by many factors. Indicators should be used as part of a comprehensive trading strategy, not in isolation. Always take into account other market information and indicators before making trading decisions.
Stochastic Zone Strength Trend [wbburgin]The Stochastic Zone Strength Trend indicator is a very powerful momentum and trend indicator that 1) identifies trend direction and strength, 2) determines pullbacks and reversals (including possible entry/exit conditions), 3) works on every instrument, and 4) can filter out ranges. I have some examples below on how to use it to its full effectiveness. It is composed of two components: Stochastic Zone Strength and Stochastic Trend Strength .
Stochastic Zone Strength
At its most basic level, the stochastic Zone Strength plots the momentum of the price action of the instrument, and identifies bearish and bullish changes with a high degree of accuracy. Think of the stochastic Zone Strength as a much more robust version of the RSI. Momentum-change thresholds are demonstrated by the "20" and "80" levels on the indicator (see below image).
Stochastic Trend Strength
The stochastic Trend Strength component of the script uses resistance in each candlestick to calculate the trend strength of the instrument. I will go more into detail about the settings after my description of how to use the indicator, but there are two forms of the stochastic Trend Strength:
Anchored at 50 (directional stochastic Trend Strength:
The directional stochastic Trend Strength can be used similarly to the MACD difference or other histogram-like indicators : a rising plot indicates an upward trend, while a falling plot indicates a downward trend.
Anchored at 0 (nondirectional stochastic Trend Strength:
The nondirectional stochastic Trend Strength can be used similarly to the ADX or other non-directional indicators : a rising plot indicates increasing trend strength, and look at the stochastic Zone Strength component and your instrument to determine if this indicates increasing bullish strength or increasing bearish strength (see photo below):
(In the above photo, a bearish divergence indicated that the high Trend Strength predicted a strong downwards move, which was confirmed shortly after. Later, a bullish move upward by the Zone Strength while the Trend Strength was elevated predicated a strong upwards move, which was also confirmed. Note the period where the Trend Strength never reached above 80, which indicated a ranging period (and thus unprofitable to enter or exit)).
How to Use the Indicator
The above image is a good example on how to use the indicator to determine divergences and possible pivot points (lines and circles, respectively). I recommend using both the stochastic Zone Strength and the stochastic Trend Strength at the same time, as it can give you a robust picture of where momentum is in relation to the price action and its trajectory. Every color is changeable in the settings.
Settings
The Amplitude of the indicator is essentially the high-low lookback for both components.
The Wavelength of the indicator is how stretched-out you want the indicator to be: how many amplitudes do you want the indicator to process in one given bar.
A useful analogy that I use (and that I derived the names from) is from traditional physics. In wave motion, the Amplitude is the up-down sensitivity of the wave, and the Wavelength is the side-side stretch of the wave.
The Smoothing Factor of the settings is simply how smoothed you want the stochastic to be. It's not that important in most circumstances.
Trend Anchor was covered above (see my description of Trend Strength). The "Trend Transform MA Length" is the EMA length of the Trend Strength that you use to transform it into the directional oscillator. Think of the EMA being transformed onto the 50 line and then the Trend Strength being dragged relative to that.
Finally, the colors are changeable on the bottom.
Final Notes
As with previous and future invite-only scripts, I only restrict access to 1) maintain effectiveness of scripts, 2) because I use these scripts myself heavily, and/or 3) to support myself. Additionally, I will never make an restricted indicator that is not completely original in idea, scope, and execution.
Yours,
wbburgin
Stochastic RSI with DivergencesThis indicator is Stochastic RSI using code loops* rather than pivot low/high functions.
The pivot low/high function provided by Pine Script requires a set number of bars to pass prior to locating a swing low/high.
This can mean large moves have occurred prior to a swing low having passed if the lookback range was set to five bars (5).
5 bars on a 2 hour chart is a long time and large moves may be missed.
As I don't use these functions, there is no requirement for a set number of bars to have passed prior to swing low/high positions to be identified.
This means it doesn't rely on a set number of bars to pass prior to finding a new pivot point.
* Code loops are a function which will check conditions in a range until a defined condition is met.
In this case a pivot low is a bar with no lower bars within 3 bars either side of the current checked bar.
Additional:
Lines will redraw and delete previous divergences to remove clutter on the indicator.
A table cells for alternate timeframe Stochastic RSI values so you don't need to swap between charts constantly.
How it works:
The first lookback finds an initial low/high within a small range of the current bar. (default of 10)
This low/high must be the lowest/highest point within 3 bars either side.
The second low/high must be over 5 bars prior to the recent low and a max range of previous lookback. (default of 30)
This low/high must be the lowest/highest point within 3 bars either side.
If a divergence is found, it will draw the divergence on the indicator and delete the prior line drawn.
Personal note:
Personally coded functions for my personal use, though others may find use with it.
Stochastic [Tcs] | OSCThis script is an implementation of the stochastic relative strength index (STOCH RSI) indicator
The script takes inputs from the length of the RSI, the source of the data, and parameters for the smoothing of the STOCH RSI.
The STOCH RSI is calculated by first calculating the RSI of the chosen source data, then smoothing it with an exponential moving average. The stochastic oscillator is then applied to the smoothed RSI, and smoothed again to create the final STOCH RSI.
The script also calculates a trigger value using a combination of the STOCH RSI and a volume-weighted moving average. It then plots the STOCH RSI, trigger value, and overbought/oversold levels, and fills the background of the plot based on the relationship between the trigger and STOCH RSI values.
Finally, the script plots buy and sell signals based on crossovers and crossunders of the STOCH RSI and its smoothed version.
The cross signal is stronger than the dots, in both direction and usually the best entries happen when two crosses signal on the level 0(long) or 100(short) appear after a dot signal.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
Oscillator pack [Tcs] | OSCThese oscillators are a reinterpretation of some of the most famous indicators for traders, with the scope to provide higher accuracy and better readability.
The improvements are based on both calculation and visual impact, with calculations incorporating not only price but also tick volume to enhance signal accuracy.
All oscillators can be applied to different timeframes than the chart being analyzed.
This indicator includes three different oscillators: TCS Stochastic, TCS MACD, and TCS Momentum.
• TCS STOCHASTIC
The TCS STOCHASTIC removes the noise from the standard RSI Stochastic and significantly reduces the number of anticipated signals (line crosses) that the RSI Stochastic provides. Similarly, the divergences are less frequent but more accurate.
The indicator plots overbought conditions (plotted as green waves) and oversold conditions (plotted as purple waves) in a clear way.
The Stochastic channel marks the power of buyers or sellers with white (bullish) and gray (bearish) shades.
The dots on the Stochastic line indicate when buyers or sellers are in control. This helps both in trend following conditions and reversal points.
The tinier the channel, defined by the Stochastic line and signal line, the stronger the trend is likely to be.
• TCS MACD
The TCS MACD removes noise from the standard MACD and often anticipates good entry points for standard MACD crosses, while delaying bad ones.
Additionally, the indicator's performance for divergences has been improved, as it takes into account both price action and on balance volume.
It has also been developed to provide better performance at the 0 line level, which can be a good entry point when the baseline is crossed.
The histogram helps to identify divergences and the strength of the trend.
• TCS MOMENTUM
The TCS MOMENTUM WAVES indicate the trend direction based on the strength of momentum and moments of accumulation/distribution, which are highlighted with a red background.
Bullish trends are represented with white waves, while bearish trends are shown in gray.
Crosses symbol on the 0 line indicate a possible trend reversal, with green for bullish and purple for bearish.
The best entry point for a reversal is when the momentum line changes to the trend direction color after a reversal point is detected.
The momentum line and its signal line can also be used to identify entry points for a strategy, as well as the crosses of the waves.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
Market Cycle IndicatorThe Market Cycle Indicator is a tool that integrates the elements of RSI, Stochastic RSI, and Donchian Channels. It is designed to detect market cycles, enabling traders to enter and exit the market at the most opportune times.
This indicator provides a unique perspective on the market, combining multiple strategies into one unified and weighted approach. By factoring in the inputs from each of these popular technical analysis methods, it offers a more holistic view of the market trends and cycles.
Parameter Details:
Donchian Channels (DCO):
- donchianPeriod: Sets the period for the Donchian Channel calculation. Default is set to 14.
- donchianSmoothing: Sets the smoothing factor for the Donchian Channel calculation. Default is set to 3.
- donchianPrice: Selects the price type to be used in the Donchian Channel calculation. Default is set to the closing price.
Relative Strength Index (RSI):
- rsiPeriod: Sets the period for the RSI calculation. Default is set to 14.
- rsiSmoothing: Sets the smoothing factor for the RSI calculation. Default is set to 3.
- rsiPrice: Selects the price type to be used in the RSI calculation. Default is set to the closing price.
Stochastic RSI (StochRSI):
- srsiPeriod: Sets the period for the Stochastic RSI calculation. Default is set to 20.
- srsiSmoothing: Sets the smoothing factor for the Stochastic RSI calculation. Default is set to 3.
- srsiK: Sets the period for the %K line in the Stochastic RSI calculation. Default is set to 5.
- srsiD: Sets the period for the %D line in the Stochastic RSI calculation. Default is set to 5.
- srsiPrice: Selects the price type to be used in the Stochastic RSI calculation. Default is set to the closing price.
Weights:
- rsiWeight: Sets the weight for the RSI in the final aggregate calculation. Default is set to 1.
- srsiWeight: Sets the weight for the Stochastic RSI in the final aggregate calculation. Default is set to 1.
- dcoWeight: Sets the weight for the Donchian Channel in the final aggregate calculation. Default is set to 1.
Limits:
- limitHigh: Sets the upper limit for the indicator. Default is set to 80.
- limitLow: Sets the lower limit for the indicator. Default is set to 20.
By customizing these parameters, users can tweak the indicator to align with their own trading strategies and risk tolerance levels. Whether you're a novice or an experienced trader, the Comprehensive Market Cycle Indicator provides valuable insights into the market's behavior.
Uses library HelperTA
TTP OI + LS signal filterThis oscillator helps filtering specific conditions in the market based on open interest (OI) and the ratio of longs and shorts (LS) for crypto assets.
Currently it works with BINANCE:BTCUSDT.P but soon I'll be adding support for more assets.
It flags areas of interest like:
- Too many longs, too many shorts in the market
- Open interest too high or too low
It accepts an external signal as a source in which case filters can be applied to the original signal. For example the external signal might trigger and plot a 1 when RSI break below 70. By connecting such signal with this oscillator you'll be able to only pass-through the ones that occur when any of the areas of interest mentioned above are also valid.
If both filter are applied it acts as an OR. For example, if too many longs and too many shorts are active, it will pass through the signal in either condition.
The results of the original signal filtered is printed to be able to later use it in any external backtester strategy that accepts external sources too.
If external source signal is disabled it will trigger any time the combined filters are returning true.
Open interest and the ratio of longs/shorts is considered too high whenever the stochastic RSI calculation of the OI or ratio LS reaches a level above 80 and too low when below 20
The ratio of long/shorts is calculated by dividing the ratio of longs vs shorts from BITFINEX:BTCUSDLONGS and BITFINEX:BTCUSDSHORTS
True Trend Oscillator [wbburgin]The True Trend oscillator identifies trending or ranging markets with a stochastic ATR and RSI. Here are some examples for how it can be used.
Uptrends
If the candlesticks are lime green, this signals an uptrend. On the oscillator, you can identify an uptrend if the bull strength (the green line) is above the bear strength (the red line). The strength of the uptrend and the downtrend can be found by looking at the slope of these lines.
Downtrends
If the candlesticks are red, this signals a downtrend. On the oscillator, notice how the bear strength line is above the bull strength line.
Ranging Markets and Pullbacks
The True Trend oscillator can also be used to identify ranging markets or pullbacks. Let's look at the previous example again:
If you notice that the bull and bear lines are bouncing above the red weak-trend zone (as in the example above), this signals an extended trend. On the contrary, when the bull and bear lines fall into the weak-trend zone, this may indicate a larger pullback or a range to look to enter a trade again, as in this example, where the ranging candles in gray demonstrate temporary pullbacks in a larger bullish trend:
Ranges can also occur before trend reversals, so a range may also indicate a smart time to secure profits.
You can customize the ranging threshold in the settings. It can be set from 0-100 because the indicator is a stochastic.
Hope you all find this indicator useful!
Dynamic Fusion Oscillator (DFO)The Dynamic Fusion Oscillator (DFO) is a uniquely crafted trading indicator that amalgamates the power of the Relative Strength Index (RSI) and the Stochastic Oscillator into a single, comprehensive tool. It provides traders with a more nuanced analysis of market momentum and overbought or oversold conditions. The DFO's distinctiveness lies in its ability to leverage the strengths of both RSI and Stochastic Oscillator, offering a more robust reading of market conditions. Moreover, it does so by offering a weighted approach, which combines the standardized values of both indicators. This flexibility in adjusting the weight of each component enhances its adaptability to different market scenarios, making it a versatile tool in a trader's arsenal. The following sections will delve into the intricacies of the DFO, demonstrating its advantages, usage, and applicability across various market conditions.
Differences from Existing Scripts:
The Dynamic Fusion Oscillator (DFO) is unique from other trading indicators as it combines the strengths of two popular technical analysis tools: the Relative Strength Index (RSI) and the Stochastic Oscillator. This fusion results in a dynamic, weighted oscillator that provides a more comprehensive view of the market's momentum and overbought or oversold conditions.
Usage and Market Conditions:
DFO can be used across different markets, including stocks, forex, commodities, and cryptocurrencies. It is designed to perform well in varying market conditions - trending or ranging. However, like any other technical indicator, it is advised to use it in conjunction with other technical analysis tools and not rely solely on it for making trading decisions.
Importance of Combining RSI and Stochastic Oscillator:
The RSI and Stochastic Oscillator are both momentum indicators, but they have their individual strengths and weaknesses. The RSI excels at identifying overbought and oversold conditions, while the Stochastic Oscillator is adept at predicting price reversals. By combining these two into a single oscillator, we can benefit from the strengths of both while minimizing their weaknesses. This fusion results in a more robust indicator that offers better signal quality and reliability.
Input Explanations:
RSI Length : This determines the number of periods used to calculate the RSI. A smaller value will make the RSI more sensitive to price changes, while a larger value will smooth out the RSI line.
Stochastic Length, Smooth K, Smooth D : These are parameters for calculating the Stochastic Oscillator. Length is the observation period, Smooth K is the smoothing factor for the %K line, and Smooth D is the smoothing factor for the %D line.
RSI Weight, Stochastic Weight : These determine the weights of the RSI and the Stochastic Oscillator in the final calculation. Increasing the weight of one will make the oscillator more sensitive to that component.
Standardization Length : This is the number of periods used to calculate the moving average and standard deviation for standardization purposes.
MA Length : This determines the number of periods used to calculate the moving average of the oscillator.
Upper Band Value, Lower Band Value : These set the maximum and minimum values for the oscillator. Signals are generated when the oscillator crosses these thresholds.
Number of periods above the band for alert condition : This sets the number of periods the oscillator stays above the band to trigger an alert.
Alert Conditions:
Alerts are generated under the following conditions:
Bullish Signal : An alert is generated when the Moving Average (MA) crosses above the Oscillator. This can be seen as a potential bullish signal indicating an upward price trend.
Bearish Signal : An alert is generated when the MA crosses below the Oscillator. This can be seen as a potential bearish signal indicating a downward price trend.
Oscillator above/below upper/lower band : Alerts are also generated when the oscillator has been above the upper band or below the lower band for a specified number of periods. This could signal overbought or oversold conditions, respectively. These signals can help traders identify potential reversal points in the market.
These alerts can help traders by providing timely signals for potential trading opportunities. However, they should be used as part of a comprehensive trading strategy that also takes into account other technical and fundamental factors.
RSI, SRSI, MACD and DMI cross - Open source codeHello,
I'm a passionate trader who has spent years studying technical analysis and exploring different trading strategies. Through my research, I've come to realize that certain indicators are essential tools for conducting accurate market analysis and identifying profitable trading opportunities. In particular, I've found that the RSI, SRSI, MACD cross, and Di cross indicators are crucial for my trading success.
Detailed explanation:
The RSI is a momentum indicator that measures the strength of price movements. It is calculated by comparing the average of gains and losses over a certain period of time. In this indicator, the RSI is calculated based on the close price with a length of 14 periods.
The Stochastic RSI is a combination of the Stochastic Oscillator and the RSI. It is used to identify overbought and oversold conditions of the market. In this indicator, the Stochastic RSI is calculated based on the RSI with a length of 14 periods.
The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of prices. It consists of two lines, the MACD line and the signal line, which are used to generate buy and sell signals. In this indicator, the MACD is calculated based on the close price with fast and slow lengths of 12 and 26 periods, respectively, and a signal length of 9 periods.
The DMI is a trend-following indicator that measures the strength of directional movement in the market. It consists of three lines, the Positive Directional Indicator (+DI), the Negative Directional Indicator (-DI), and the Average Directional Index (ADX), which are used to generate buy and sell signals. In this indicator, the DMI is calculated with a length of 14 periods and an ADX smoothing of 14 periods.
The indicator generates buy signals when certain conditions are met for each of these indicators.
1) For the RSI, a buy signal is generated when the RSI is below or equal to 35 and the Stochastic RSI %K is below or equal to 15, or when the RSI is below or equal to 28 the Stochastic RSI %K is below or equal to 15 or when the RSI is below or equal to 25 and the Stochastic RSI %K is below or equal to 10 or when the RSI is below or equal to 28.
2) For the MACD, a buy signal is generated when the MACD line is below 0, there is a change in the histogram from negative to positive, the MACD line and histogram are negative in the previous period, and the current histogram value is greater than 0.
3) For the DMI, a buy signal is generated when the Positive Directional Indicator (+DI) crosses above the Negative Directional Indicator (-DI), and the -DI is less than the +DI.
The indicator generates sell signals when certain conditions are met for each of these indicators:
1) For the RSI, a sell signal is generated when the RSI is above or equal to 75 and the Stochastic RSI %K is above or equal to 85, or when the RSI is above or equal to 80 and the Stochastic RSI %K is above or equal to 85, or when the RSI is above or equal to 85 and the Stochastic RSI %K is above or equal to 90 or when the RSI is above or equal to 82.
2)For the MACD, a sell signal is generated when the MACD line is above 0, there is a change in the histogram from positive to negative, the MACD line and histogram are positive in the previous period, and the current histogram value is less than the previous histogram value. On the other hand, a buy signal is generated when the MACD line is below 0, there is a change in the histogram from negative to positive, the MACD line and histogram are negative in the previous period, and the current histogram value is greater than the previous histogram value.
3)For the DMI a bearish signal is generated when plusDI crosses above minusDI, indicating that bulls are losing strength and bears are taking control.
The indicator uses a combination of these four indicators to generate potential buy and sell signals. The buy signals are generated when RSI and SRSI values are in oversold conditions, while sell signals are generated when RSI and SRSI values are in overbought conditions. The indicator also uses MACD crossovers and DMI crossovers to generate additional buy and sell signals.
When a signal is strong?
The use of multiple signals within a specific timeframe can increase the accuracy and reliability of the signals generated by this indicator. It is recommended to look for at least two signals within a range of 5-8 candles in order to increase the probability of a successful trade.
Why it's original?
1) There is no indicator in the library that combine all of these indicators and give you a 360 view
2)The combination of the RSI, Stochastic RSI, MACD, and DMI indicators in a single script it's unique and not available in the libray.
3)The specific parameters and conditions used to calculate the signals may be unique and not found in other scripts or libraries.
4)The use of plotshape() to plot the signals as shapes on the chart may be unique compared to other scripts that simply plot lines or bars to indicate signals.
5)The use of alertcondition() to trigger alerts based on the signals may be unique compared to other scripts that do not have custom alert functionality.
Keep attention!
It is important to note that no trading indicator or strategy is foolproof, and there is always a risk of losses in trading. While this indicator may provide useful information for making conclusions, it should not be used as the sole basis for making trading decisions. Traders should always use proper risk management techniques and consider multiple factors when making trading decisions.
Support me:)
If you find this new indicator helpful in your trading analysis, I would greatly appreciate your support! Please consider giving it a like, leaving feedback, or sharing it with your trading network. Your engagement will not only help me improve this tool but will also help other traders discover it and benefit from its features. Thank you for your support!
Stochastic RSI+ by MartialChartsFXThe original Stochastic RSI was built to generate more signals than either of the ordinary RSI or Stochastic Oscillator.
This Stochastic RSI+ is a customized Stochastic RSI meant to be less obtrusive as a lower indicator with several added components for improved utility.
The Stochastic RSI+ has 3 components:
1. The Single line color changing Stochastic RSI (%K line)
2. Divergence detection using one of three oscillators (RSI, Stochastic, or the default Stochastic RSI). Divergence may be detected in Strict or Non-Strict modes.
3. Strength indicator
Single Line Stochastic RSI (%K)
To make manual detection of divergence easier, I decided to reduce the Stochastic RSI down to just the %K line. In order to see how the %K line interacts with the %D line without having the extra line as a distraction, the %K line has been coded to change colors based on its relation to the %D line.
The Stochastic %K is green when %K is greater than %D
The Stochastic %K is red when %K is less than %D
The oversold region is 0-20 and highlighted in a light green on the scale.
The overbought region is 80-100 and highlighted in light red on the scale.
Divergence Detection
The optional divergence detection settings include the selection of 3 oscillators: RSI, Stochastic, or Stochastic RSI (default). Regardless of which oscillator is selected for divergence detection the indicator will only show the Stochastic RSI's %K line. This gives the trader the change to see if divergence is present on multiple oscillators. The divergence detection does not draw trendlines on the chart or the lower indicator, instead it plots an H (for Hidden Divergence) or a D (for Divergence) in green (bullish) or red (bearish) where the 2nd point of divergence is located based on the oscillator used and whether the detection is set to strict or not. This programming will not capture every instance of divergence. You should still manually verify any divergence indicated.
Strict Divergence enabled is the traditional method of divergence detection where swing points on the price charts align with peaks and valleys on the oscillator. Where there are not matching peaks and valleys on both price and the oscillator, divergence is not detected.
Strict Divergence disabled is an alternate divergence detection by connecting swing points on the price chart and then checking to see what the corresponding oscillator values are regardless of if it is a peak or valley on the oscillator. To draw this method manually would be drawing the oscillator trendline through the %K line to connect which ever points on Stochastic RSI line up with the swing points on the price chart. This will find more divergence than would ordinarily be overlooked.
Asset Strength
The Strength indicator is the 2nd set of numbers on the indicator information line. Values above 0 are bullish, Values below 0 are bearish. Strength is measured by comparing fast and slow RSI calculations to gauge a rate of change towards bullish or bearish.
Strength color changes:
Dark green to light green = asset is bullish but getting weaker
Light green to dark green = asset is bullish and getting stronger
Red to pink = asset is bearish but getting stronger
Pink to Red = asset is bearish and getting weaker
Usage
Can be used in all asset classes. This is a Stochastic RSI oscillator so the same Stochastic RSI usage rules apply.
The ways that I use Stochastic RSI+:
1. To gauge if a zone is likely to hold or be broken.
- Buying zones have better confluence when Stochastic RSI+ is very oversold (0-5) and have bullish divergence.
- Selling zone have better confluence when Stochastic RSI+ is very overbought (95-100) and have bearish divergence.
2. For divergence to time entries and to identify continuations, retracements, reversals, and stop hunts.
3. For strength to see if the asset is getting stronger or weaker when price reaches a zone.
