Stochastic RSI Strategy with Inverted Trend LogicOverview:
The Stochastic RSI Strategy with Inverted Trend Logic is a custom-built Pine Script indicator that leverages the Stochastic RSI and a 200-period moving average to generate precise buy and sell signals. It is specifically designed for traders looking to capture opportunities during short-term market movements while factoring in broader trend conditions.
Key Components:
Stochastic RSI:
Stochastic RSI is a momentum indicator that applies stochastic calculations to the standard Relative Strength Index (RSI), rather than price data. This makes it particularly sensitive to market momentum changes, which is essential for timing entries and exits.
K Line and D Line: The indicator calculates and smooths both the K and D lines to capture momentum shifts more accurately.
200-Period Moving Average:
The 200-period Simple Moving Average (SMA) is used as a trend filter.
If the price is above the 200-period SMA, the trend is considered bullish.
If the price is below the 200-period SMA, the trend is considered bearish.
Inverted Trading Logic:
The trading logic is inverted from traditional strategies:
Long trades are executed only when the market is in a bearish trend (price below the 200-period moving average).
Short trades are executed only when the market is in a bullish trend (price above the 200-period moving average).
This inversion allows traders to take advantage of potential trend reversals by entering positions in the opposite direction of the prevailing trend.
Trading Rules:
Long Trade Conditions (Buy Signal):
The Stochastic RSI K line must be below 5 for 4 consecutive candles (oversold condition).
The price must be below the 200-period SMA (indicating a bearish trend).
Once these conditions are met, the indicator will generate a buy signal on the close of the 4th candle.
Exit Condition: The long position is exited when the Stochastic RSI K line crosses above 50 (neutral level).
Short Trade Conditions (Sell Signal):
The Stochastic RSI K line must be above 95 for 4 consecutive candles (overbought condition).
The price must be above the 200-period SMA (indicating a bullish trend).
Once these conditions are met, the indicator will generate a sell signal on the close of the 4th candle.
Exit Condition: The short position is exited when the Stochastic RSI K line crosses below 50.
Visual Signals on the Chart:
Buy Signal:
A green triangle below the bar is displayed on the chart when a buy condition is met, indicating a potential long trade opportunity.
The text "BUY" is displayed for further clarity.
Sell Signal:
A red triangle above the bar is displayed on the chart when a sell condition is met, indicating a potential short trade opportunity.
The text "SELL" is displayed for further clarity.
How to Use the Indicator:
Attach the Indicator: Apply the indicator to your desired chart (works on any time frame, but is optimized for short- to medium-term trading).
Monitor Signals: Watch for buy and sell signals on the chart:
Buy Signal: Enter long positions when a green triangle appears below the candle.
Sell Signal: Enter short positions when a red triangle appears above the candle.
Exit Positions: Exit long positions when the Stochastic RSI crosses above the 50 level, and exit short positions when the Stochastic RSI crosses below the 50 level.
Indicator Display:
Stochastic RSI: A visual representation of the Stochastic RSI (K and D lines) is plotted below the price chart, with overbought (100), midpoint (50), and oversold (0) levels clearly marked.
200-period SMA: The 200-period moving average is plotted on the price chart, giving a clear indication of the broader trend direction (orange line).
Key Benefits:
Reversal Opportunities: This strategy allows traders to capture reversal trades by using an inverted logic where longs are taken in bearish conditions and shorts are taken in bullish conditions. This can help capitalize on potential trend exhaustion and reversals.
Clear and Simple Rules: The use of Stochastic RSI and the 200-period moving average ensures the strategy remains simple yet effective, making it easy for traders to follow.
Visual Alerts: The indicator provides clear buy and sell signals, making it easy for traders to spot trading opportunities in real-time without needing to monitor multiple conditions manually.
Limitations and Considerations:
Trend Changes: Since the strategy is designed to work during trend reversals, it might not perform as well during strong, prolonged trends where price continues moving in one direction without significant pullbacks.
Time Frame Suitability: While the indicator works on any time frame, shorter time frames may result in more frequent signals and higher trade frequency, whereas higher time frames will provide fewer but potentially stronger signals.
Conclusion:
The Stochastic RSI Strategy with Inverted Trend Logic is a powerful tool for traders looking to capture market reversals by entering trades against the prevailing trend direction based on momentum exhaustion. Its simple and clear logic, combined with easy-to-understand visual signals, makes it a versatile indicator for both novice and experienced traders.
Cari dalam skrip untuk "rsi"
Volume-Weighted RSI with HMA SmoothingThis script combines a Volume-Weighted RSI, smoothed with a custom Hull Moving Average (HMA), with a modified MACD based on normalized net volume.
Volume-Weighted RSI: It is calculated by adjusting the closing price with a normalized On-Balance Volume (OBV) and then applying an RSI. This approach weights the RSI according to volume, providing a more accurate measure of the strength of the price movement.
Modified HMA: A Hull Moving Average (HMA) is used to smooth the Volume-Weighted RSI, enhancing the ability to identify market trend changes.
Possible Reversal from Oversold:
The Volume-Weighted RSI crosses above the oversold level.
It is displayed as an upward green triangle at the bottom of the chart, indicating that the market might be exhausting its oversold conditions and potentially starting an upward reversal.
Possible Reversal from Overbought:
The Volume-Weighted RSI crosses below the overbought level.
It is displayed as a downward red triangle at the top of the chart, indicating that the market might be exhausting its overbought conditions and potentially starting a downward reversal.
Confirmation with the Modified MACD: For a more robust interpretation, the behavior of the modified MACD can be observed alongside the RSI cross.
The MACD is also modified, using normalized net volume (calculated as the cumulative change in the closing price multiplied by volume) as the input instead of the standard closing price.
The direction and color change of the MACD bars indicate the market's momentum.
Alerts: Alerts are set to trigger automatically when the modified RSI crosses the oversold or overbought levels.
Español:
Este script combina un RSI ponderado por volumen, suavizado con un Hull Moving Average (HMA) personalizado, con un MACD modificado basado en volumen neto normalizado.
RSI Ponderado por Volumen: Se calcula ajustando el precio de cierre con un OBV (On-Balance Volume) normalizado y luego aplicando un RSI. Este enfoque pondera el RSI según el volumen, proporcionando una medida más precisa de la fuerza del movimiento del precio.
HMA Modificado: Se utiliza un Hull Moving Average (HMA) para suavizar el RSI Ponderado por Volumen, mejorando la capacidad de identificar cambios en la tendencia del mercado.
Posible Reversión desde Sobreventa:
El RSI Ponderado por Volumen cruza por encima del nivel de sobreventa.
Se muestra como un triángulo verde hacia arriba en la parte inferior del gráfico, indicando que el mercado podría estar agotando las condiciones de sobreventa y comenzar una posible reversión al alza.
Posible Reversión desde Sobrecompra:
El RSI Ponderado por Volumen cruza por debajo del nivel de sobrecompra.
Se muestra como un triángulo rojo hacia abajo en la parte superior del gráfico, indicando que el mercado podría estar agotando las condiciones de sobrecompra y comenzar una posible reversión a la baja.
Confirmación con el MACD Modificado: Para una interpretación más robusta, se puede observar el comportamiento del MACD modificado junto con el cruce del RSI.
El MACD también está modificado, utilizando el volumen neto normalizado (calculado como el cambio acumulativo en el precio de cierre multiplicado por el volumen) como entrada en lugar del precio de cierre estándar.
La dirección y el cambio de color de las barras del MACD indican el impulso del mercado.
Alertas: Las alertas están configuradas para activarse automáticamente cuando el RSI modificado cruza los niveles de sobreventa o sobrecompra.
TechniTrend RSI (11TF)Multi-Timeframe RSI Indicator
Overview
The Multi-Timeframe RSI Indicator is a sophisticated tool designed to provide comprehensive insights into the Relative Strength Index (RSI) across 11 different timeframes simultaneously. This indicator is essential for traders who wish to monitor RSI trends and their moving averages (MA) to make informed trading decisions.
Features
Multiple Timeframes: Displays RSI and RSI MA values for 11 different timeframes, allowing traders to have a holistic view of the market conditions.
RSI vs. MA Comparison: Indicates whether the RSI value is above or below its moving average for each timeframe, helping traders to identify bullish or bearish momentum.
Overbought/Oversold Signals:
Marks "OS" (OverSell) when RSI falls below 25, indicating a potential oversold condition.
Marks "OB" (OverBuy) when RSI exceeds 75, signaling a potential overbought condition.
Real-Time Updates: Continuously updates in real-time to provide the most current market information.
Usage
This indicator is invaluable for traders who utilize RSI as part of their technical analysis strategy. By monitoring multiple timeframes, traders can:
Identify key overbought and oversold levels to make entry and exit decisions.
Observe the momentum shifts indicated by RSI crossing above or below its moving average.
Enhance their trading strategy by integrating multi-timeframe analysis for better accuracy and confirmation.
How to Interpret the Indicator
RSI Above MA: Indicates a potential bullish trend. Traders may consider looking for long positions.
RSI Below MA: Suggests a potential bearish trend. Traders may look for short positions.
OS (OverSell): When RSI < 25, the market may be oversold, presenting potential buying opportunities.
OB (OverBuy): When RSI > 75, the market may be overbought, indicating potential selling opportunities.
DEMA RSI Overlay [BackQuant]DEMA RSI Overlay
PLEASE Read the following, knowing what an indicator does at its core before adding it into a system is pivotal. The core concepts can allow you to include it in a logical and sound manner.
Anyways,
BackQuant's new trading indicator that blends the Double Exponential Moving Average (DEMA) with the Relative Strength Index (RSI) to create a unique overlay on the trading chart. This combination is not arbitrary; both the DEMA and RSI are revered for their distinct advantages in trading strategy development. Let's delve into the core components of this script, the rationale behind choosing DEMA and RSI, the logic of long and short signals, and its practical trading applications.
Understanding DEMA
DEMA is an enhanced version of the conventional exponential moving average that aims to reduce the lag inherent in traditional averages. It does this by applying more weight to recent prices. The reduction in lag makes DEMA an excellent tool for tracking price trends more closely. In the context of this script, DEMA serves as the foundation for the RSI calculation, offering a smoother and more responsive signal line that can provide clearer trend indications.
Why DEMA?
DEMA is chosen for its responsiveness to price changes. This characteristic is particularly beneficial in fast-moving markets where entering and exiting positions quickly is crucial. By using DEMA as the price source, the script ensures that the signals generated are timely and reflective of the current market conditions, reducing the risk of entering or exiting a trade based on outdated information.
Integrating RSI
The RSI, a momentum oscillator, measures the speed and change of price movements. It oscillates between zero and 100 and is typically used to identify overbought or oversold conditions. In this script, the RSI is calculated based on DEMA, which means it inherits the responsiveness of DEMA, allowing traders to spot potential reversals or continuation signals sooner.
Why RSI?
Incorporating RSI offers a measure of price momentum and market conditions relative to past performance. By setting thresholds for long (buy) and short (sell) signals, the script uses RSI to identify potential turning points in the market, providing traders with strategic entry and exit points.
Calculating Long and Short Signals
Long Signals : These are generated when the RSI of the DEMA crosses above the longThreshold (set at 70 by default) and the closing price is not above the upper volatility band. This suggests that the asset is gaining upward momentum while not being excessively overbought, presenting a potentially favorable buying opportunity.
Short Signals : Generated when the RSI of the DEMA falls below the shortThreshold (set at 55 by default). This indicates that the asset may be losing momentum or entering a downtrend, signaling a possible selling or shorting opportunity.
Logical Soundness
The logic of combining DEMA with RSI for generating trade signals is sound for several reasons:
Timeliness : The use of DEMA ensures that the price source for RSI calculation is up-to-date, making the momentum signals more relevant.
Balance : By setting distinct thresholds for long and short signals, the script balances sensitivity and specificity, aiming to minimize false signals while capturing genuine market movements.
Adaptability : The inclusion of user inputs for periods and thresholds allows traders to customize the indicator to fit various trading styles and timeframes.
Trading Use-Cases
This DEMA RSI Overlay indicator is versatile and can be applied across different markets and timeframes. Its primary use-cases include:
Trend Following: Traders can use it to identify the start of a new trend or the continuation of an existing trend.
Swing Trading: The indicator's sensitivity to price changes makes it ideal for swing traders looking to capitalize on short to medium-term price movements.
Risk Management: By providing clear long and short signals, it helps traders manage their positions more effectively, potentially reducing the risk of significant losses.
Final Note
We have also decided to add in the option of standard deviation bands, calculated on the DEMA, this can be used as a point of confluence rendering trading ranges. Expanding when volatility is high and compressing when it is low.
For example:
This provides the user with a 1, 2, 3 standard deviation band of the DEMA.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Rocket RSI from John EhlersWhat is Rocket RSI
Welles Wilder's original description of the relative strength index (RSI) in his 1978 New Concepts In Technical Trading Systems specified a calculation period of 14 days. This requirement led him on a 40-year quest to find the right length of data for calculating indicators and trading strategy rules. Many technicians touched on RSI and explained its applications. In this study we will obtain a more flexible and easier to interpret formulation (of the indicator). We will also estimate the algorithm to properly handle a statistical approach to technical analysis. Start with RSI Here is the original definition of the RSI indicator:
RSI = 100 - 100 / (1 + RS)
RS = Average gain from downtime over the specified time period / Average loss from downtime over the specified time period My first observation is that the factor of 100 is insignificant. Second, there is no need for averages because we take the ratio of closes (CU) to closes (CD) and if we accumulate the wins and losses independently, the averages emerge. Therefore We will only accumulate CU and CD. He can then write the RSI equation as:
RSI = 1 – 1 / (1 + CU / CD)
If he use a little algebra to put everything on a common denominator on the right side of the equation, the indicator equation becomes:
RSI = CU / (CU + CD)
In this formulation, if CU accumulation is zero, the RSI value is zero, and if CD accumulation is zero, the RSI value is 1. If you reduce the price action to its primitive level as a sine wave, it is easy to see that this RSI only has CU going from valley to peak and only CD going from peak to valley. This RSI follows the shape of the sine wave between these two limits. However, the sine wave oscillates between -1 and +1, not between 0 and +1. If we multiply the above equation by 2 and then subtract 1, we can make the RSI have the same swing limits as the sine wave. the product is as follows:
RSI = 2*CU / (CU + CD) – 1
Again, using a little algebra to put the right-hand side of the equation on a common denominator, the equation develops like this:
MyRSI = (CU – CD) / (CU + CD)
Again, the vertical scale of the RocketRSI indicator is in standard deviations. For example, -2 means it is two standard deviations below the mean. Since exceeding two standard deviations in the Gaussian probability distribution occurs in only 2.4% of the results
Because we are using the momentum of the dominant cycle period, the spike where the indicator falls below -2 provides a surgically precise timing signal to enter a long position. Similarly, exceeding the +2 standard deviation level is a timing signal to exit a long position or return to a short position. Therefore using the RocketRSI indicator is relatively intuitive. The only concern is whether a dominant cycle is present in the data, setting the indicator to half the dominant cycle period, and whether smoothing causes lag.
DETERMINING CYCLICAL TURNING POINTS
When you insert the chart you see an example of what the RocketRSI indicator looks like. Here you see that RocketRSI precisely displays cyclical turning points as statistical events. Cator can be applied. I used RS Length 10 because according to Ehlers, stocks and stock indexes usually have a more or less monthly cycle (about 20 bars). A cursory examination of Figure 2 shows that negative increases in the indicator correspond to excellent buying opportunities, while positive increases correspond to excellent selling opportunities. Exceeding +/- 2 on the indicator scale indicates that a cyclical reversal is a high probability event.
Velas Envolventes + RSI / Stttrading F.VelazquezEngulfing Candle + RSI Indicator by Stttrading F.Velazquez
Description:
Discover a powerful tool for market analysis with the Velas Engulfing + RSI Indicator. Crafted by Stttrading Franco Velazquez, this indicator seamlessly blends engulfing candle patterns with the precision of the RSI filter. What sets it apart is its unique approach – signals are exclusively generated when the RSI reaches overbought or oversold conditions, providing a distinctive edge over conventional engulfing candle indicators.
Key Features:
Engulfing Candle Patterns: Identify both bullish and bearish engulfing candle formations.
RSI Integration: Harness the strength of the RSI indicator to evaluate market momentum and potential reversals.
Visual Signals: Enjoy clear and intuitive signals directly on your chart for seamless decision-making.
Configurable Alerts: Tailor the indicator to your preferences with customizable alerts for timely notifications.
Usage Instructions:
Engulfing Candles:
Visualize bullish and bearish candles through green and red triangles, respectively.
Capitalize on buying opportunities when bullish candles emerge and consider selling when bearish candles unfold.
RSI Indicator:
Leverage the RSI indicator to gauge overbought and oversold market conditions.
Fine-tune RSI levels based on your trading strategy and risk tolerance.
Alert System:
Set up alerts to stay informed about crucial market movements, ensuring you never miss a trading opportunity.
Custom Configuration:
RSI Source: Customize the data source for RSI calculations to suit your analysis.
RSI Length: Define the length of the RSI period for precise adjustments.
RSI Overbought and Oversold Levels: Tailor the overbought and oversold RSI thresholds to align with your trading preferences.
Important Note: Always conduct thorough analysis and implement proper risk management before executing trades.
Version 3.13.2
Designed and Developed by Stttrading Franco Velazquez
Custom RSI with RMA SmoothingCustom RSI with RMA Smoothing is smoothing the classic Relative Strength Index to enhance the effectiveness of using the RSI for trend-following through noise reduction.
Principle:
1. RSI is smoothed by the Rolling Moving Average (RMA) and averaged Gains & Losses instead of the classic RSI calculation.
2. A RMA is plotted over the RSI where the crossovers can be entry and exit points.
How is RSI smoothed by the RMA:
1. Outside the common price sources a few new options like hhhlc or hlcc can be chosen where the emphasis is more on the high or the close of the chosen period.
2. Calculation of Price Change: After selecting the price source, the indicator calculates the price change by subtracting the previous period's price from the current price.
3. RMA Smoothing of Price Change: The key step in smoothing the RSI is the application of the Running Moving Average (RMA) to the price change. The length of this RMA is set by the user and determines the extent of smoothing. RMA is a type of moving average that gives more weight to recent data points, making it more responsive to new information while still smoothing out short-term fluctuations.
4. Determining Gains and Losses: The smoothed price change is then used to calculate the gains and losses for each period. Gains are considered when the smoothed price change is positive, and losses when it is negative.
5. Averaging Gains and Losses: These gains and losses are further smoothed by calculating their respective RMAs over the user-defined RSI length. This step is crucial as it dampens the impact of short-term price spikes and drops, giving a more stable and reliable measure of price momentum.
6. RSI Calculation: The standard RSI formula (100 - ) is then applied to these smoothed values. This results in the initial RSI value, which is already more stable than a typical RSI due to the previous smoothing steps.
7. Final RMA Smoothing of RSI: In a final layer of refinement, the RSI itself is smoothed using another RMA, over a length specified by the user. This additional smoothing further reduces the impact of short-term volatility and sharp price movements, providing a more coherent and interpretable RSI line.
@tk · fractal rsi levels█ OVERVIEW
This script is an indicator that helps traders to identify the RSI Levels for multiple fractals wherever the current timeframe is. This script was based on RSI Levels, 20-30 & 70-80 by abdomi indicator, that calculates the Relative Strenght Index levels based on the asset's price and plots it into the chart, creating a "wave" style indicator. The core feature of this indicator is the fractal rays, so trader can visualize each of the oversold and overbought levels of multiple timeframe on the current timeframe that he is on. The indicator will plots multiple rays after the chart bars. indicating where is the oversold and overbought levels for others fractals.
█ MOTIVATION
Since the RSI Levels, 20-30 & 70-80 by abdomi indicator helps a lot to identify the possible price levels when the asset is oversold or overbought, I saw myself drawing multiple horizontal lines on these levels in lower timeframes so, in an uptrend or downtrend, I can try to get a pullback of these trends when the asset reaches oversold or overboght levels. So, I get the idea to make those lines visible in multiple timeframes so I don't need to draw it myself manually anymore.
█ CONCEPT
The trading concept to use this indicator is the concept to make entries on uptrend or downtrend pullbacks when the asset price reaches oversold or overbought levels. But this strategy don't works alone. It needs to be aligned together with others indicators like Exponential Moving Averages, Chart Patterns, Support and Resistance, and so on... Even more confluences that you have, bigger are your chances to increase the probability for a successful trade. So, don't use this indicator alone. Compose a trading strategy and use it to improve your analysis.
█ CUSTOMIZATION
This indicator allows the trader to customize the following settings:
GENERAL
Text size
Changes the font size of the labels to improve accessibility.
Type: string
Options: `tiny`, `small`, `normal`, `large`.
Default: `small`
RSI LEVELS · SETTINGS
Pre-oversold Level
Changes the RSI Level to calculate the "pre-oversold" price level on the chart.
Type: int
Min: 1
Max: 49
Default: 33
Pre-overbought Level
Changes the RSI Level to calculate the "pre-overbought" price level on the chart.
Type: int
Min: 51
Max: 100
Default: 67
Show "Pre-over" Levels
Enables / Disables the pre-oversold and pre-overbought levels on the chart.
Type: bool
Default: true
FRACTAL RAYS · SETTINGS
Length
Changes the base length for the RSI calculation.
Type: int
Min: 1
Default: 14
Source
Changes the base source for the RSI calculation.
Type: float
Default: close
FRACTAL RAYS · STYLE
Ray Color
Changes the color of all fractal rays and its label.
Type: color
Default: color.rgb(187, 74, 207)
Ray Style
Changes the style of all fractal rays.
Type: string
Options: `line.style_solid`, `line.style_dashed`, `line.style_dotted`
Default: line.style_dotted
Ray Length
Changes the length of all fractal rays.
Type: int
Default: 15
FRACTAL RAYS · OVERSOLD
Oversold Level
Changes the base RSI Level for fractal rays calculation.
Type: int
Min: 1
Default: 30
Oversold Prefix
Customizes the fractal ray label with a prefix text.
Type: string
Default: 🚀
Oversold Suffix
Customizes the fractal ray label with a suffix text.
Type: string
Default: (empty)
FRACTAL RAYS · OVERBOUGHT
Overbought Level
Changes the base RSI Level for fractal rays calculation.
Type: int
Min: 1
Default: 70
Overbought Prefix
Customizes the fractal ray label with a prefix text.
Type: string
Default: 🐻
Overbought Suffix
Customizes the fractal ray label with a suffix text.
Type: string
Default: (empty)
FRACTAL RAYS · VISIBILITY RULES
These rules are applied for each of fractal rays so, the traders can choose what timeframes they wants to show the fractal rays for each of it. The rule will be applied as the following condition: `if timeframe != CURRENT_TIMEFRAME and timeframe <= CHOSEN_OPTION`. Actually, the fractal rays are on the chart but, isn't visible because it was applied a transparent color, so it is visually not on the chart to prevent chart's over polution.
LABELS
Show Labels on Price Scale
Shows labels on price scale.
Type: bool
Default: false
Show Price on Fractal Rays
Shows the RSI Level price on each of fractal rays respectively.
Type: bool
Default: false
█ EXTERNAL LIBRARIES
This script uses the `tk` library to calculate RSI Levels. It is a library that contains various functions that helps pine script developers to calculate RSI Levels.
█ FUNCTIONS
The library contains the following functions:
fn_fractalVisibilityRule(string visibilityRule)
Converts the fractal rays timeframe visibility rule label to timestamp int.
Parameters:
visibilityRule: (string) Fractal ray visibility rule label.
Returns: (int) Fractal ray visibility rule timestamp.
fn_requestFractal(string period, expression)
Converts the fractal rays timeframe visibility rule label to timestamp int.
Parameters:
period: (string) Timeframe period for the desired fractal.
expression: (mixed) Security expression that will be applied for calculation.
Returns: (mixed) A result determined by expression.
fn_plotRay(float y, string label, color color, int length)
Plots ray after chart bars for the current time.
Parameters:
period: (string) Timeframe period for the desired fractal.
expression: (mixed) Security expression that will be applied for calculation.
Returns: (void) This function only plots the elements into the chart
fn_plotRsiLevelRay(simple string period, simple int level, color color)
Plots RSI Levels ray after chart bars for the current time.
Parameters:
period: (simple string) Timeframe period.
level: (simple int) Relative Strength Index level.
color: (color) The color of both, ray and label text.
Returns: (void) This function only plots the elements into the chart
Divergence Finder (RSI/Price) with OptionsDivergence finder used to find BUY or SELL Signal based on a divergence between Price and RSI (Price goes UP when RSI goes down / opposite )
You can configure the script with several Options :
Source for Price Buy Div : you can use the close price of the candle (by default) or use the high price of the candle for exemple.
Source for Price Sell Div : you can use the close price of the candle (by default) or use the low price of the candle for exemple.
Source for RSI Div : you can use the close price of the candle (by default) to calculate the RSI .
Theses settings allow you to set a minimum RSI level to reach to activate the Divergence finder (p1 is the first point in time, and p2 is the second one):
Min RSI for Sell divergence(p1) : this is the minimum RSI level to reach for the first of the 2 points of divergence (Default 70) for the SELL Signal
Min RSI for Sell divergence (p2) : this is the minimum RSI level to reach for the second of the 2 points of divergence (Default 60) for the SELL Signal
Max RSI for Buy divergence (p1) : this is the minimum RSI level to reach for the first of the 2 points of divergence (Default 30) for the BUY Signal
Max RSI for Buy divergence (p2) : this is the minimum RSI level to reach for the second of the 2 points of divergence (Default 40 ) for the BUY Signal
Theses settings allow you to set a minimum margin difference between our two points (p1 and p2) to validate the Divergence
Min margin between price for displaying divergence (%) : Set a minimum margin (in % of the price) before the indicator validate this divergence
Min margin between RSI for displaying divergence (%) : Set a minimum margin (in % of the RSI ) before the indicator validate this divergence
Display Divergence label : Choose to display the price of the candle, and the RSI when a divergence is found
Display tops/bottoms : Display where the tops and bottoms are calculated directly on the chart
MTF Stoch RSI + Realtime DivergencesMulti-timeframe Stochastic RSI + Realtime Divergences + Alerts + Pivot lookback periods.
This version of the Stochastic RSI adds the following additional features to the stock UO by Tradingview:
- Optional 3 x Multiple-timeframe overbought and oversold signals, indicating where 3 selected timeframes are all overbought (>80) or all oversold (<20) at the same time, with alert option.
- Optional divergence lines drawn directly onto the oscillator in realtime, with alert options.
- Configurable lookback periods to fine tune the divergences drawn in order to suit different trading styles and timeframes, including the ability to enable automatic adjustment of pivot period per chart timeframe.
- Alternate timeframe feature allows you to configure the oscillator to use data from a different timeframe than the chart it is loaded on.
- Indications where the Stoch RSI is crossing down from above the overbought threshold (<80) and crossing above the oversold threshold (>20) levels on a given user selected timeframe, by printing gold dots on the indicator.
- Also includes standard configurable Stoch RSI options, including k length, d length, RSI length, Stochastic length, and source type (close, hl2, etc)
While this version of the Stochastic RSI has the ability to draw divergences in realtime along with related settings and alerts so you can be notified as divergences occur without spending all day watching the charts, the main purpose of this indicator was to provide the triple multiple-timeframe overbought and oversold confluence signals and alerts, in an attempt to add more confluence, weight and reliability to the single timeframe overbought and oversold states, commonly used for trade entry confluence. It's primary purpose is intended for scalping on lower timeframes, typically between 1-15 minutes. The triple timeframe overbought can often indicate near term reversals to the downside, with the triple timeframe oversold often indicating neartime reversals to the upside. The default timeframes for this confluence are set to check the 1 minute, 5 minute, and 15 minute timeframes, ideal for scalping the < 15 minute charts.
The Stochastic RSI
The popular oscillator has been described as follows:
“The Stochastic RSI is an indicator used in technical analysis that ranges between zero and one (or zero and 100 on some charting platforms) and is created by applying the Stochastic oscillator formula to a set of relative strength index (RSI) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold. The Stochastic RSI oscillator was developed to take advantage of both momentum indicators in order to create a more sensitive indicator that is attuned to a specific security's historical performance rather than a generalized analysis of price change.”
How do traders use overbought and oversold levels in their trading?
The oversold level, that is when the Stochastic RSI is above the 80 level is typically interpreted as being 'overbought', and below the 20 level is typically considered 'oversold'. Traders will often use the Stochastic RSI at an overbought level as a confluence for entry into a short position, and the Stochastic RSI at an oversold level as a confluence for an entry into a long position. These levels do not mean that price will necessarily reverse at those levels in a reliable way, however. This is why this version of the Stoch RSI employs the triple timeframe overbought and oversold confluence, in an attempt to add a more confluence and reliability to this usage of the Stoch RSI.
What are divergences?
Divergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction.
There are 4 main types of divergence, which are split into 2 categories;
regular divergences and hidden divergences. Regular divergences indicate possible trend reversals, and hidden divergences indicate possible trend continuation.
Regular bullish divergence: An indication of a potential trend reversal, from the current downtrend, to an uptrend.
Regular bearish divergence: An indication of a potential trend reversal, from the current uptrend, to a downtrend.
Hidden bullish divergence: An indication of a potential uptrend continuation.
Hidden bearish divergence: An indication of a potential downtrend continuation.
Setting alerts.
With this indicator you can set alerts to notify you when any/all of the above types of divergences occur, on any chart timeframe you choose, and also when the triple timeframe overbought and oversold confluences occur.
Configurable pivot lookback values.
You can adjust the default pivot lookback values to suit your prefered trading style and timeframe. If you like to trade a shorter time frame, lowering the default lookback values will make the divergences drawn more sensitive to short term price action. By default, this indicator has enabled the automatic adjustment of the pivot periods for 4 configurable timeframes, in a bid to optimise the divergences drawn when the indicator is loaded onto any of the 4 timeframes. These timeframes and the auto adjusted pivot periods on each of them can also be reconfigured within the settings menu.
How do traders use divergences in their trading?
A divergence is considered a leading indicator in technical analysis , meaning it has the ability to indicate a potential price move in the short term future.
Hidden bullish and hidden bearish divergences, which indicate a potential continuation of the current trend are sometimes considered a good place for traders to begin, since trend continuation occurs more frequently than reversals, or trend changes.
When trading regular bullish divergences and regular bearish divergences, which are indications of a trend reversal, the probability of it doing so may increase when these occur at a strong support or resistance level . A common mistake new traders make is to get into a regular divergence trade too early, assuming it will immediately reverse, but these can continue to form for some time before the trend eventually changes, by using forms of support or resistance as an added confluence, such as when price reaches a moving average, the success rate when trading these patterns may increase.
Typically, traders will manually draw lines across the swing highs and swing lows of both the price chart and the oscillator to see whether they appear to present a divergence, this indicator will draw them for you, quickly and clearly, and can notify you when they occur.
Disclaimer: This script includes code from the stock UO by Tradingview as well as the Divergence for Many Indicators v4 by LonesomeTheBlue.
BTC Cap Dominance RSIBTC Cap Dominance RSI indicator is a combination of the RSI of Bitcoin Market Cap and the RSI of Bitcoin Dominance. The concept of this indicator is to get a good grasp of the bitcoin market flow by combining bitcoin dominance as well as bitcoin market cap.
BTC Cap Dominance (BCD) RSI is defined as:
BCD RSI = (BTC Cap RSI + BTC Dominance RSI) / 2
Case 1 (Bull market):
Both Cap RSI and Dominance RSI values are high
Case 2 (Neutral market):
Cap RSI is high but Dominance RSI is low
Cap RSI is low but Dominance RSI is high
Case 3 (Bear market):
Both Cap RSI and Dominance RSI values are low
(Note) Please note that the market capitalization symbols (CRYPTOCAP:TOTAL and CRYPTOCAP:TOTAL2) of TradingView started in January 2020, so you can check the indicator value from this point on.
Donchian RSI BandsThis little mashup of mine is called the Donchian RSI Bands. It consists of two RSI's, a Donchian Channel, & Bollinger bands, which can all be turned on or off depending on your preferences.
The main RSI is set to the 7 length and the second RSI is set to the default 14 length. When used together, they form an RSI cloud.
The Bollinger Bands are set to the 35 length and use two sets of adjustable deviations to form the bands. The inner band is set to 0.25 deviation and the outside is set to 0.5. Generally, the Bollinger Bands deviation is set to 2 but for this idea, when the RSI is inside the Bollinger Bands, there's a higher possibility of chop. The stronger Bullish or Bearish trend will be when the main RSI is trending above or below the Bollinger Bands.
The RSI color is Bullish when the RSI is above the Upper Bollinger Band, Neutral when the RSI is inside the Bands, and Bearish when the RSI is below the lower Bollinger Band. The wider you adjust the Outer Band Deviation, the wider the Neutral zone will be. The width of the Bollinger Band Basis can also be adjusted so you could widen it all the way out to the Bands which will form a fully shaded channel to avoid trading when the RSI is trending inside.
The Donchian Channel is set to 70, which 2x the Bollinger Band length. I use it for longer term trends and possible trend reversals.
There are 3 options for Barcoloring:
RSI Bollinger Bands
RSI Cloud
& when the RSI is above/below the Donchian Channel Basis
[blackcat] L1 Fibonacci VWAP RSI IndicatorLevel: 1
Background
Ingo Bucher proposed "Fibonacci RSI" in March,2003. It describes the advantages of considering Fibonacci retracement levels for use with the classic RSI indicator. Bucher reviews six charts, each displaying Fibonacci retracement levels for the RSI associated with each chart. The pine code given here will allow you to automatically recreate these charts for any security available in Tradingview. BTW, i enhanced it by changing RSI into VWAP RSI with hl2.
Function
For this Fib VWAP RSI indicator, it also applicable for original Bucher's fib concept. Bucher calculated his retracement levels by picking the RSI high and low for a given time window. In his examples, these were generally six months to a year's worth of data. Once the high and low were picked, he calculated retracement levels based on the well-known Fibonacci numbers (23.6%, 38.2%, 50%, 61.8%). This script here does the same thing. I use a "LookbackLength" (default: 400 bars), which represents a sliding data window that is used to determine the VWAP RSI high and low. The second input value controls the VWAP RSI period (default: 14 bars). The next three inputs select the retracement levels.
A total of eight different lines need to be drawn: the RSI itself, the 50% line, two retracements above the 50% point, two retracements below, and the zero and 100% lines. Pine script will create four plotlines per indicator, so I advise inserting the Fibonacci RSI twice. The first time it is inserted, leave the PlotRSI input with its default value, true. True tells pine script to plot the VWAP RSI itself. The second copy should have the input "Plot RSI" set to false. This will put the 50% line on your chart.
Inputs
LookbackLength --> Look Back Length.
RSILength --> RSI Length.
Fib1 and Fib2 --> Fibonacci lengths.
Key Signal
RawVWAPRSI --> Raw VWAP RSI output signal
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
StochRSI x RSI x CCI x EMAsWanted to put this out there. Kind of a rough explanation but basically I wanted to build an indicator that takes out emotions and is easy to read. The indicator is basically RSI, stochRSI, CCI, and EMAs into an easy to read package. The traffic lights at the end will tell you if stochRSI/RSI and price action above according to EMA ribbon are in agreement. RSI with a period of 2 also always seemed very useful to me but it was just extremely distracting to look at it. I tried to make many rules in this indicator to find as much confluence between RSI, stochRSI, CCI, and EMAs to help you make better decisions. What is shown on the indicator is not necessarily a buy/sell signal. It should be seen as a way to view strength of price and possible momentum changes.
I find that one of the biggest distractions of indicators is taking your eyes off what is really happening at the chart above. This indicator uses popular and well used tools and helps you to get an easier visual of what is happening.
Purple lines at top and bottom: Short RSI ob/os
Red/orange and blue/green lines at top and bottom: When stochRSI kd and CCI also crosses +/- 100 or 200
Blue background: when stochRSI k > d and short RSI crosses above 30
Red background: when stochRSI k < d and short RSI crosses below 70
Green crosses: StochRSI is above 80 and making higher highs
Red X crosses: StochRSI is below 20 and making lower lows
Red/green fill of stochRSI and purple/blue dots on RSI: When short RSI and stochRSI are both ob/os
Red/green fill of RSI: Green when Long rsi > 50, red when Long rsi < 50
60/40 lines: Possible support/resistance for RSI
Traffic lights
1st light: Long RSI > EMA and stoch RSI k>d or vice versa
2nd light: Price above EMA 1 and 2 or vice versa
3rd light: when lights 1 and 2 are in agreement
Hope you enjoy!
(JS) Double StochasticThe idea for this indicator came from looking at the Stochastic RSI. The Stochastic RSI takes the RSI reading then applies the Stochastic formula to it - an indicator on top of an indicator. Using this logic, I decided to try using a Stochastic on the existing Stochastic in order to smooth it out - hence the "Double Stochastic". I have also added the option to add RSI on to the indicator as well (with smoothing if you'd like).
Resolution:
I added this so you can look at the reading on any time frame.
K & D:
This is the standard K% and D% used with the Stochastic indicator - the numbers modify the length of their calculations.
Smooth:
This is the smoothing calculation, also from the normal Stochastic indicator.
Use Second Stochastic:
This adds a second Stochastic on to the chart for analysis.
K & D 2:
This is the parameters used to calculate the second K% and D% lines.
Smooth 2:
This is the smoothing interval for the second K% and D% lines.
Use K% and D%:
The default for this is to have it on. What it means is that you wish to see both the K% and D% lines (watching for a cross). If you turn this off, the plot switches to a K% & D% difference line. It is just one line that plots the distance between the two.
SMA Length Using Difference:
If this is on, then you can smooth the difference plot with an SMA, obviously if you just want the raw difference to plot, then set this to 1.
Use RSI:
Since both RSI and Stochastic use a 0-100 scale, I added the ability to plot the RSI along with the Stochastic. This will not plot if you are using the Difference plot, being that plot isn't on a 0-100 scale.
Smooth RSI:
I also added the ability to smooth the RSI if you'd like, you can turn this off for the standard RSI reading.
RSI Length:
This is the period of bars used to calculate the RSI.
RSI Smoothing Length:
This is the smoothing interval if you'd like to apply a moving average on the regular RSI reading.
RSI Smoothing Use EMA:
This makes the RSI smoothing use an EMA, when off an SMA is used instead.
RSI Source:
And finally, this is the source used to calculate the RSI value.
I hope that you all may find this useful, I have been using it myself with a lot of success. Any questions, please leave them in the comments, thanks!
SMA_Cross + RSI1. long
a. RSI does not open an order when it is overbought, until the RSI falls below a certain threshold, and then open a position
b. There are already many positions. If the RSI is overbought, it will be profitable. When the RSI falls below a certain threshold, open a long position again until the moving average crossover signal turns short.
2. Short
a. RSI does not open an order when it is oversold, and then opens a position after RSI rises to a certain threshold
b. There are already short positions. If the RSI is oversold, it will be profitable to close the short position. When the RSI rises above a certain threshold, open the short position again until there is a reversal of the moving average crossing signal.
1. 做多
a. RSI在超买区间时不开单，直到RSI回落到某个阈值之下，再开仓
b. 已经有多仓，如果RSI超买，则平多获利，当RSI回落到某个阈值之下后，再次开多，直到有均线交叉信号反转做空
2. 做空
a. RSI在超卖区间时不开单，直到RSI上升到某个阈值之后，再开仓
b. 已经有空仓，如果RSI超卖，则平空获利，当RSI上升到某个阈值之上后，再次开空，直到有均线交叉信号反转做多
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter
Overview:
This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals.
How It Works:
1. Signal Initiation (e.g., 5-Minute Timeframe):
Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30).
Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe.
2. Signal Confirmation (15-Minute Timeframe):
Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars).
Long Confirmation:
The 15-minute Stochastic RSI %K must be greater than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40).
Short Confirmation:
The 15-minute Stochastic RSI %K must be less than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60).
3. Filters:
ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold.
Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading.
4. Entry and Exit Logic:
Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met.
Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script.
Key User-Adjustable Parameters:
Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing.
Signal Trigger & Confirmation:
5-minute %K trigger levels for long and short.
15-minute %K confirmation thresholds for long and short.
Wait window (in 5-minute bars) for 15-minute confirmation.
Filters:
Enable/disable and configure the Signal Cooldown filter (minimum bars between signals).
Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks).
Strategy Parameters:
Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks).
Recommendations for Users:
Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade.
Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions.
Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals.
Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable.
Disclaimer:
This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
Constance Brown RSI with Composite IndexConstance Brown RSI with Composite Index
Overview
This indicator combines Constance Brown's RSI interpretation methodology with a Composite Index and ATR Distance to VWAP measurement to provide a comprehensive trading tool. It helps identify trends, momentum shifts, overbought/oversold conditions, and potential reversal points.
Key Features
Color-coded RSI zones for immediate trend identification
Composite Index for momentum analysis and divergence detection
ATR Distance to VWAP for identifying extreme price deviations
Automatic divergence detection for early reversal warnings
Pre-configured alerts for key trading signals
How to Use This Indicator
Trend Identification
The RSI line changes color based on its position:
Blue zone (RSI > 50): Bullish trend - look for buying opportunities
Purple zone (RSI < 50): Bearish trend - look for selling opportunities
Gray zone (RSI 40-60): Neutral/transitional market - prepare for potential breakout
The 40-50 area (light blue fill) acts as support during uptrends, while the 50-60 area (light purple fill) acts as resistance during downtrends.
// From the code:
upTrendZone = rsiValue > 50 and rsiValue <= 90
downTrendZone = rsiValue < 50 and rsiValue >= 10
neutralZone = rsiValue > 40 and rsiValue < 60
rsiColor = neutralZone ? neutralRSI : upTrendZone ? upTrendRSI : downTrendRSI
Momentum Analysis
The Composite Index (fuchsia line) provides momentum confirmation:
Values above 50 indicate positive momentum
Values below 40 indicate negative momentum
Crossing above/below these thresholds signals potential momentum shifts
// From the code:
compositeIndexRaw = rsiChange / ta.stdev(rsiValue, rsiLength)
compositeIndex = ta.sma(compositeIndexRaw, compositeSmoothing)
compositeScaled = compositeIndex * 10 + 50 // Scaled to fit 0-100 range
Overbought/Oversold Detection
The ATR Distance to VWAP table in the top-right corner shows how far price has moved from VWAP in terms of ATR units:
Extreme positive values (orange/red): Potentially overbought
Extreme negative values (purple/red): Potentially oversold
Near zero (gray): Price near average value
// From the code:
priceDistance = (close - vwapValue) / ta.atr(atrPeriod)
// Color coding based on distance value
Divergence Trading
The indicator automatically detects divergences between the Composite Index and price:
Bullish divergence: Price makes lower low but Composite Index makes higher low
Bearish divergence: Price makes higher high but Composite Index makes lower high
// From the code:
divergenceBullish = ta.lowest(compositeIndex, rsiLength) > ta.lowest(close, rsiLength)
divergenceBearish = ta.highest(compositeIndex, rsiLength) < ta.highest(close, rsiLength)
Trading Strategies
Trend Following
1. Identify the trend using RSI color:
Blue = Uptrend, Purple = Downtrend
2. Wait for pullbacks to support/resistance zones:
In uptrends: Buy when RSI pulls back to 40-50 zone and bounces
In downtrends: Sell when RSI rallies to 50-60 zone and rejects
3. Confirm with Composite Index:
Uptrends: Composite Index stays above 50 or quickly returns above it
Downtrends: Composite Index stays below 50 or quickly returns below it
4. Manage risk using ATR Distance:
Take profits when ATR Distance reaches extreme values
Place stops beyond recent swing points
Reversal Trading
1. Look for divergences
Bullish: Price makes lower low but Composite Index makes higher low
Bearish: Price makes higher high but Composite Index makes lower high
2. Confirm with ATR Distance:
Extreme readings suggest potential reversals
3. Wait for RSI zone transition:
Bullish: RSI crosses above 40 (purple to neutral/blue)
Bearish: RSI crosses below 60 (blue to neutral/purple)
4. Enter after confirmation:
Use candlestick patterns for precise entry
Place stops beyond the divergence point
Four pre-configured alerts are available:
Momentum High: Composite Index above 50
Momentum Low: Composite Index below 40
Bullish Divergence: Composite Index higher low
Bearish Divergence: Composite Index lower high
Customization
Adjust these parameters to optimize for your trading style:
RSI Length: Default 14, lower for more sensitivity, higher for fewer signals
Composite Index Smoothing: Default 10, lower for quicker signals, higher for less noise
ATR Period: Default 14, affects the ATR Distance to VWAP calculation
This indicator works well across various markets and timeframes, though the default settings are optimized for daily charts. Adjust parameters for shorter or longer timeframes as needed.
Happy trading!
Forex Fire EMA/MA/RSI StrategyEURUSD
The entry method in the Forex Fire EMA/MA/RSI Strategy combines several conditions across two timeframes. Here's a breakdown of how entries are determined:
Long Entry Conditions:
15-Minute Timeframe Conditions:
EMA 13 > EMA 62 (short-term momentum is bullish)
Price > MA 200 (trading above the major trend indicator)
Fast RSI (7) > Slow RSI (28) (momentum is increasing)
Fast RSI > 50 (showing bullish momentum)
Volume is increasing compared to 20-period average
4-Hour Timeframe Confluence:
EMA 13 > EMA 62 (larger timeframe confirms bullish trend)
Price > MA 200 (confirming overall uptrend)
Slow RSI (28) > 40 (showing bullish bias)
Fast RSI > Slow RSI (momentum is supporting the move)
Additional Precision Requirement:
Either EMA 13 has just crossed above EMA 62 (crossover)
OR price has just crossed above MA 200
Short Entry Conditions:
15-Minute Timeframe Conditions:
EMA 13 < EMA 62 (short-term momentum is bearish)
Price < MA 200 (trading below the major trend indicator)
Fast RSI (7) < Slow RSI (28) (momentum is decreasing)
Fast RSI < 50 (showing bearish momentum)
Volume is increasing compared to 20-period average
4-Hour Timeframe Confluence:
EMA 13 < EMA 62 (larger timeframe confirms bearish trend)
Price < MA 200 (confirming overall downtrend)
Slow RSI (28) < 60 (showing bearish bias)
Fast RSI < Slow RSI (momentum is supporting the move)
Additional Precision Requirement:
Either EMA 13 has just crossed under EMA 62 (crossunder)
OR price has just crossed under MA 200
The key aspect of this strategy is that it requires alignment between the shorter timeframe (15m) and the larger timeframe (4h), which helps filter out false signals and focuses on trades that have strong multi-timeframe support. The crossover/crossunder requirement further refines entries by looking for actual changes in direction rather than just conditions that might have been in place for a long time.
Dual RSI SmootherUltimator's Dual RSI Smoother
Description:
The Dual RSI Smoother is a momentum-based indicator that applies two smoothed and amplified RSI calculations to analyze potential trend reversals and overbought/oversold conditions. By utilizing two separate RSI lengths and smoothing parameters, this tool provides a refined view of price momentum and potential trading signals.
Features:
Dual RSI Calculation – Computes two RSI values with separate user-defined lengths.
Smoothing & Amplification – Applies SMA-based smoothing and an amplification factor to enhance signal clarity.
Dynamic Line Colors – Adjusts colors based on RSI interactions to visually highlight important conditions.
Buy & Sell Signals – Displays buy dots when oversold conditions are detected and sell dots in overbought zones.
How to Use:
Buy Signals: Green dots appear when RSI conditions indicate an oversold market, suggesting a potential buying opportunity.
Sell Signals: Red dots appear when RSI conditions indicate an overbought market, suggesting a potential selling opportunity.
Trend Confirmation: The indicator’s smoothed RSI lines can help identify sustained trends when they diverge or cross.
User Inputs:
RSI Length 1 & 2: Adjusts the calculation periods for the two RSI values.
Line Colors: Customizable colors for fast and slow RSI lines.
Highlight Colors: Custom color for buy signal highlights.
Buy & Sell Dot Colors: Customizable colors for buy and sell signal markers.
Best Use Cases:
Identifying early reversals in overbought/oversold market conditions.
Confirming trend strength through smoothed RSI interactions.
Enhancing trade entries by aligning buy/sell signals with other momentum indicators.
Multi-Asset & TF RSI
Multi-Asset & TF RSI
This indicator allows you to compare the Relative Strength Index (RSI) values of two different assets across multiple timeframes in a single pane. It’s ideal for traders who wish to monitor momentum across different markets or instruments simultaneously.
Key Features:
Primary Asset RSI:
The indicator automatically calculates the RSI for the chart’s asset. You can adjust the timeframe for this asset using a dropdown that offers standard TradingView timeframes, a "Chart" option (which syncs with your current chart timeframe), or a "Custom" option where you can enter any timeframe.
Optional Second Asset RSI:
Enable the “Display Second Asset” option to compare another asset’s RSI. Simply select the symbol (default is “DXY”) and choose its timeframe from an identical dropdown. When enabled, the second asset’s RSI is computed and plotted for easy comparison.
RSI Settings:
Customize the RSI length and choose the data source (e.g., close price) to suit your trading strategy.
Visual Aids:
Overbought (70) and oversold (30) levels are clearly marked, along with a midline at 50. These visual cues help you quickly assess market conditions.
Asset Information Table:
A dynamic table at the top of the pane displays the symbols being analysed – the chart’s asset as the “1st” asset and, if enabled, the second asset as the “2nd.”
How to Use:
Apply the Indicator:
Add the indicator to your chart. By default, it will calculate the RSI for the chart’s current asset using your chart’s timeframe.
Adjust Primary Asset Settings:
Use the “Main Asset Timeframe” dropdown to choose the timeframe for the RSI calculation on the chart asset. Select “Chart” to automatically match your current chart’s timeframe or choose a preset/custom timeframe.
Enable and Configure the Second Asset:
Toggle the “Display Second Asset” option to enable the second asset’s RSI. Select the asset symbol and its desired timeframe using the provided dropdown. The RSI for the second asset will be plotted if enabled.
Monitor the RSI Values:
Observe the plotted RSI lines along with the overbought/oversold levels. Use the table at the top-centre of the pane to verify which asset symbols are being displayed.
This versatile tool is designed to support multi-asset analysis and can be a valuable addition to your technical analysis toolkit. Enjoy enhanced RSI comparison across markets and timeframes!
Happy Trading!
PV's Dual RSI Crossover StrategyIntroduction to the Dual RSI Two-Cross Indicator
The Relative Strength Index (RSI) is a widely used technical indicator in finance that measures the magnitude of recent price changes to determine overbought or oversold conditions. The RSI Two-Cross indicator takes this concept a step further by introducing a unique twist: it plots two RSI lines with different lengths and generates alerts based on their crossovers.
Key Features:
Dual RSI Lines: The indicator plots two RSI lines with user-defined lengths, allowing traders to compare the short-term and long-term momentum of an asset.
Crossover Alerts: The indicator generates alerts when the shorter RSI line crosses above or below the longer RSI line, indicating potential trend reversals or continuations.
Customizable Parameters: Users can adjust the lengths of the RSI lines, oversold and overbought levels, and other parameters to suit their trading strategy and asset of choice.
Visual Aids: The indicator features colored bars and backgrounds to highlight crossover events, making it easy to identify trading opportunities at a glance.
Trading Applications:
Trend Reversal Detection: The RSI Two-Cross indicator can help traders identify potential trend reversals by monitoring crossovers between the two RSI lines.
Momentum Confirmation: The indicator can be used to confirm momentum shifts in an asset's price, helping traders to filter out false signals and make more informed trading decisions.
Scalping and Day Trading: The indicator's short-term focus makes it suitable for scalping and day trading strategies, where traders aim to capitalize on small price movements.
By combining the versatility of the RSI with the power of crossover analysis, the RSI Two-Cross indicator offers a unique perspective on market momentum and trend dynamics. Whether you're a seasoned trader or just starting out, this indicator can help you navigate the markets with greater confidence and precision.
GOLDEN RSI by @thejamiulGOLDEN RSI thejamiul is a versatile Relative Strength Index (RSI)-based tool designed to provide enhanced visualization and additional insights into market trends and potential reversal points. This indicator improves upon the traditional RSI by integrating gradient fills for overbought/oversold zones and divergence detection features, making it an excellent choice for traders who seek precise and actionable signals.
Source of this indicator : This indicator is based on @TradingView original RSI indicator with a little bit of customisation to enhance overbought and oversold identification.
Key Features
1. Customizable RSI Settings:
RSI Length: Adjust the RSI calculation period to suit your trading style (default: 14).
Source Selection: Choose the price source (e.g., close, open, high, low) for RSI calculation.
2. Gradient-Filled RSI Zones:
Overbought Zone (80-100): Gradient fill with shades of green to indicate strong bullish conditions.
Oversold Zone (0-20): Gradient fill with shades of red to highlight strong bearish conditions.
3. Support and Resistance Levels:
Upper Band: 80
Middle Bands: 60 (bullish) and 40 (bearish)
Lower Band: 20
These levels help identify overbought, oversold, and neutral zones.
4. Divergence Detection:
Bullish Divergence: Detects lower lows in price with corresponding higher lows in RSI, signaling potential upward reversals.
Bearish Divergence: Detects higher highs in price with corresponding lower highs in RSI, indicating potential downward reversals.
Visual Indicators:
Bullish divergence is marked with green labels and line plots.
Bearish divergence is marked with red labels and line plots.
5. Alert Functionality:
Custom Alerts: Set up alerts for bullish or bearish divergences to stay notified of potential trading opportunities without constant chart monitoring.
6. Enhanced Chart Visualization:
RSI Plot: A smooth and visually appealing RSI curve.
Color Coding: Gradient and fills for better distinction of trading zones.
Pivot Labels: Clear identification of divergence points on the RSI plot.
