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.
Komut dosyalarını "rsi" için ara
Advanced RSI [CryptoSea]The Advanced RSI Duration (ARSI) is a unique tool crafted to deepen your market insights by focusing on the duration the Relative Strength Index (RSI) spends above or below key thresholds. This innovative approach is designed to help traders anticipate potential market reversals by observing sustained overbought and oversold conditions.
Core Feature
Duration Monitoring ARSI's standout feature is its ability to track how long the RSI remains in overbought (>70) or oversold (<30) conditions. By quantifying these durations, traders can gauge the strength of current market trends and the likelihood of reversals.
Enhanced Functionality
Multi-Timeframe Flexibility : Analyze the RSI duration from any selected timeframe on your current chart, offering a layered view of market dynamics.
Customizable Alerts : Receive notifications when the RSI maintains its position above or below set levels for an extended period, signaling sustained market pressure.
Visual Customization : Adjust the visual elements, including colors for overbought and oversold durations, to match your analytical style and preferences.
Label Management : Control the frequency of labels marking RSI threshold crossings, ensuring clarity and focus on significant market events.
Settings Overview
RSI Timeframe & Length : Tailor the RSI calculation to fit your analysis, choosing from various timeframes and period lengths.
Threshold Levels : Define what you consider overbought and oversold conditions with customizable upper and lower RSI levels.
Duration Alert Threshold : Set a specific bar count for how long the RSI should remain beyond these thresholds to trigger an alert.
Visualization Options : Choose distinct colors for durations above and below thresholds, and adjust label visibility to suit your charting approach.
Application & Strategy
Use ARSI to identify potential turning points in the market
Trend Exhaustion : Extended periods in overbought or oversold territories may indicate a strong trend but also warn of possible exhaustion and impending reversals.
Comparative Analysis : By evaluating the current duration against historical averages, traders can assess the relative strength of ongoing market conditions.
Strategic Entries/Exits : Utilize duration insights to refine entry and exit points, capitalizing on the predictive nature of prolonged RSI levels.
Alert Conditions
The Advanced RSI (ARSI) offers critical alert mechanisms to aid traders in identifying prolonged market conditions that could lead to actionable trading opportunities. These conditions are designed to alert traders when the RSI remains at extremes longer than typical durations, signaling sustained market behaviors.
Above Upper Level Alert: This alert is triggered when the RSI sustains above the upper threshold (usually 70) for more than the configured duration, indicating strong bullish momentum or potential overbought conditions.
Below Lower Level Alert: Similarly, this alert is activated when the RSI stays below the lower threshold (commonly 30) for an extended period, suggesting significant bearish momentum or potential oversold conditions.
These alerts enable traders to respond swiftly to extend market conditions, enhancing their strategy by providing timely insights into potential trend reversals or continuations.
The Advanced RSI Duration Analysis empowers traders with a nuanced understanding of market states, beyond mere RSI values. It highlights the significance of how long markets remain in extreme conditions, offering a predictive edge in anticipating reversals. Whether you're strategizing entries or preparing for shifts in market momentum, ARSI is your companion for informed trading decisions.
Dual RSI Differential - Strategy [presentTrading]█ Introduction and How it is Different
The Dual RSI Differential Strategy introduces a nuanced approach to market analysis and trading decisions by utilizing two Relative Strength Index (RSI) indicators calculated over different time periods. Unlike traditional strategies that employ a single RSI and may signal premature or delayed entries, this method leverages the differential between a shorter and a longer RSI. This approach pinpoints more precise entry and exit points, providing a refined tool for traders to exploit market conditions effectively, particularly in overbought and oversold scenarios.
Most important: it is a good eductional code for swing trading.
For beginners, this Pine Script provides a complete function that includes crucial elements such as holding days and the option to configure take profit/stop loss settings:
- Hold Days: This feature ensures that trades are not exited too hastily, helping traders to ride out short-term market volatility. It's particularly valuable for swing trading where maintaining positions slightly longer can lead to capturing significant trends.
- TPSL Condition (None by default): This setting allows traders to focus solely on the strategy's robust entry and exit signals without being constrained by preset profit or loss limits. This flexibility is crucial for learning to adjust strategy settings based on personal risk tolerance and market observations.
BTCUSD 6h LS Performance
█ Strategy, How It Works: Detailed Explanation
🔶 RSI Calculation:
The RSI is a momentum oscillator that measures the speed and change of price movements. It is calculated using the formula:
RSI = 100 - (100 / (1 + RS))
Where RS (Relative Strength) = Average Gain of up periods / Average Loss of down periods.
🔶 Dual RSI Setup:
This strategy involves two RSI indicators:
RSI_Short (RSI_21): Calculated over a short period (21 days).
RSI_Long (RSI_42): Calculated over a longer period (42 days).
Differential Calculation:
The strategy focuses on the differential between these two RSIs:
RSI Differential = RSI_Long - RSI_Short
This differential helps to identify when the shorter-term sentiment diverges from longer-term trends, signaling potential trading opportunities.
BTCUSD Local picuture
🔶 Signal Triggers:
Entry Signal: A buy (long) signal is triggered when the RSI Differential exceeds -5, suggesting strengthening short-term momentum. Conversely, a sell (short) signal occurs when the RSI Differential falls below +5, indicating weakening short-term momentum.
Exit Signal: Trades are generally exited when the RSI Differential reverses past these thresholds, indicating a potential momentum shift.
█ Trade Direction
This strategy accommodates various trading preferences by allowing selections among long, short, or both directions, thus enabling traders to capitalize on diverse market movements and volatility.
█ Usage
The Dual RSI Differential Strategy is particularly suited for:
Traders who prefer a systematic approach to capture market trends.
Those who seek to minimize risks associated with rapid and unexpected market movements.
Traders who value strategies that can be finely tuned to different market conditions.
█ Default Settings
- Trading Direction: Both — allows capturing of upward and downward market movements.
- Short RSI Period: 21 days — balances sensitivity to market movements.
- Long RSI Period: 42 days — smoothens out longer-term fluctuations to provide a clearer market trend.
- RSI Difference Level: 5 — minimizes false signals by setting a moderate threshold for action.
Use Hold Days: True — introduces a temporal element to trading strategy, holding positions to potentially enhance outcomes.
- Hold Days: 5 — ensures that trades are not exited too hastily, helping to ride out short-term volatility.
- TPSL Condition: None — enables traders to focus solely on the strategy's entry and exit signals without preset profit or loss limits.
- Take Profit Percentage: 15% — aims for significant market moves to lock in profits.
- Stop Loss Percentage: 10% — safeguards against large losses, essential for long-term capital preservation.
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
D-BoT Alpha 'Short' SMA and RSI StrategyDostlar selamlar,
İşte son derece basit ama etkili ve hızlı, HTF de çok iyi sonuçlar veren bir strateji daha, hepinize bol kazançlar dilerim ...
Nedir, Nasıl Çalışır:
Strateji, iki ana girdiye dayanır: SMA ve RSI. SMA hesaplama aralığı 200 olarak, RSI ise 14 olarak ayarlanmıştır. Bu değerler, kullanıcı tercihlerine veya geriye dönük test sonuçlarına göre ayarlanabilir.
Strateji, iki koşul karşılandığında bir short sinyali oluşturur: RSI değeri, belirlenen bir giriş seviyesini (burada 51 olarak belirlenmiş) aşar ve kapanış fiyatı SMA değerinin altındadır.
Strateji, kısa pozisyonu üç durumda kapatır: Kapanış fiyatı, takip eden durdurma seviyesinden (pozisyon açıldığından beri en düşük kapanış olarak belirlenmiştir) büyükse, RSI değeri belirlenen bir durdurma seviyesini (bu durumda 54) aşarsa veya RSI değeri belirli bir kar al seviyesinin (bu durumda 32) altına düşerse.
Güçlü Yönleri:
İki farklı gösterge (SMA ve RSI) kullanımı, yalnızca birini kullanmaktan daha sağlam bir sinyal sağlayabilir.
Strateji, karları korumaya ve fiyat dalgalanmalarında kayıpları sınırlamaya yardımcı olabilecek bir iz süren durdurma seviyesi içerir.
Script oldukça anlaşılır ve değiştirmesi nispeten kolaydır.
Zayıf Yönleri:
Strateji, hacim, oynaklık veya daha geniş piyasa eğilimleri gibi diğer potansiyel önemli faktörleri göz önünde bulundurmaz.
RSI seviyeleri ve SMA süresi için belirli parametreler sabittir ve tüm piyasa koşulları veya zaman aralıkları için optimal olmayabilir.
Strateji oldukça basittir. Trade maliyetini (kayma veya komisyonlar gibi) hesaba katmaz, bu da trade performansını önemli ölçüde etkileyebilir.
Bu Stratejiyle Nasıl İşlem Yapılır:
Strateji, short işlemler için tasarlanmıştır. RSI, 51'in üzerine çıktığında ve kapanış fiyatı 200 periyotluk SMA'nın altında olduğunda işleme girer. RSI, 54'ün üzerine çıktığında veya 32'nin altına düştüğünde veya fiyat, pozisyon açıldığından beri en düşük kapanış fiyatının üzerine çıktığında işlemi kapatır.
Lütfen Dikkat, bu strateji veya herhangi bir strateji izole bir şekilde kullanılmamalıdır. Tüm bu çalışmalar eğitsel amaçlıdır. Yatırım tavsiyesi içermez.
This script defines a trading strategy based on Simple Moving Average (SMA) and the Relative Strength Index (RSI) indicators. Here's an overview of how it works, along with its strengths and weaknesses, and how to trade using this strategy:
How it works:
The strategy involves two key inputs: SMA and RSI. The SMA length is set to 200, and the RSI length is set to 14. These values can be adjusted based on user preferences or back-testing results.
The strategy generates a short signal when two conditions are met: The RSI value crosses over a defined entry level (set at 51 here), and the closing price is below the SMA value.
When a short signal is generated, the strategy opens a short position.
The strategy closes the short position under three conditions: If the close price is greater than the trailing stop (which is set as the lowest close since the position opened), if the RSI value exceeds a defined stop level (54 in this case), or if the RSI value drops below a certain take-profit level (32 in this case).
Strengths:
The use of two different indicators (SMA and RSI) can provide a more robust signal than using just one.
The strategy includes a trailing stop, which can help to protect profits and limit losses as the price fluctuates.
The script is straightforward and relatively easy to understand and modify.
Weaknesses:
The strategy doesn't consider other potentially important factors, such as volume, volatility, or broader market trends.
The specific parameters for the RSI levels and SMA length are hard-coded, and may not be optimal for all market conditions or timeframes.
The strategy is very simplistic. It doesn't take into account the cost of trading (like slippage or commissions), which can significantly impact trading performance.
How to trade with this strategy:
The strategy is designed for short trades. It enters a trade when the RSI crosses above 51 and the closing price is below the 200-period SMA. It will exit the trade when the RSI goes above 54 or falls below 32, or when the price rises above the lowest closing price since the position was opened.
Please note, this strategy or any strategy should not be used in isolation. It's important to consider other aspects of trading such as risk management, capital allocation, and combining different strategies to diversify. Back-testing the strategy on historical data and demo trading before going live is also a recommended practice.
D-Bot Alpha RSI Breakout StrategyHello dear Traders,
Here is a simple yet effective strategy to use, for best profit higher time frame, such as daily.
Structure of the code
The code defines inputs for SMA (simple moving average) length, RSI (relative strength index) length, RSI entry level, RSI stop loss level, and RSI take profit level. The default values of these variables can be customized as per the user's preferences.
The script calculates SMA and RSI based on the input parameters and the closing price of the asset.
Trading logic
This strategy allows the placement of a long position when:
The RSI crosses above the RSI entry level and
The close price is above the SMA value.
After entering a long position, it applies a trailing stop mechanism. The stop price is updated to the close price if the close price is lower than the last close price.
The script closes the long position when:
RSI falls below the stop loss level.
RSI reaches or exceeds the take profit level.
If the trailing stop is activated (once RSI reaches or exceeds the take profit level), the closing price falls below the trailing stop level.
Strengths
The strategy includes mechanisms for entering a position, taking profit, and stopping losses, which are fundamental aspects of a trading strategy.
It applies a trailing stop mechanism that allows to capture further gains if the price keeps increasing while protecting from losses if the price starts to decrease.
Weaknesses
This strategy only contemplates long positions. Depending on the market situation, the strategy may miss opportunities for short selling when the market is on a downward trend.
The choice of the fixed RSI entry, stop loss, and take profit levels may not be ideal for all market conditions or assets. It might benefit from a more adaptive mechanism that adjusts these levels according to market volatility or trend.
The strategy doesn't factor in trading costs (such as spread or commission), which could have a significant impact on the net profit, especially if the user is trading with a high frequency or in a low liquidity market.
How to trade with this strategy
Given these parameters and the strategy outlined by the code, the trader would enter a long position when the RSI crosses above the RSI entry level (default 34) and the closing price is above the SMA value (SMA calculated with default period of 200). The trader would exit the position when either the RSI falls below the RSI stop loss level (default 30), or RSI rises above the RSI take profit level (default 50), or when the trailing stop is hit.
Remember "The strategies I have prepared are entirely for educational purposes and should not be considered as investment advice. Support your trades using other tools. Wishing everyone profitable trades..."
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.
Adaptive, Jurik-Filtered, Floating RSI [Loxx]Adaptive, Jurik-Filtered, Floating RSI is an adaptive RSI indicator that smooths the RSI signal with a Jurik Filter.
This indicator contains three different types of RSI. They are following.
Wilders' RSI:
The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
RSX RSI:
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
Rapid RSI:
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine.
RapidRSI resembles Wilder's RSI , but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
This indicator also uses adaptive cycles to calculate input lengths
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Lastly, RSI is filtered and smoothed using a Jurik Filter
What is Jurik Volty?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Usage
-Red fill color when RSI is in overbought zone means a possible bear trend is incoming
-Green fill color when RSI is in overbought zone means a possible bear trend is incoming
Included
-Bar coloring
Aroon Oscillator of Adaptive RSI [Loxx]Aroon Oscillator of Adaptive RSI uses RSI to calculate AROON in attempt to capture more trend and momentum quicker than Aroon or RSI alone. Aroon Oscillator of Adaptive RSI has three different types of RSI calculations and the choice of either fixed, VHF Adaptive, or Band-pass Adaptive cycle measures to calculate RSI.
Arron Oscillator:
The Aroon Oscillator was developed by Tushar Chande in 1995 as part of the Aroon Indicator system. Chande’s intention for the system was to highlight short-term trend changes. The name Aroon is derived from the Sanskrit language and roughly translates to “dawn’s early light.”
The Aroon Oscillator is a trend-following indicator that uses aspects of the Aroon Indicator (Aroon Up and Aroon Down) to gauge the strength of a current trend and the likelihood that it will continue.
Aroon oscillator readings above zero indicate that an uptrend is present, while readings below zero indicate that a downtrend is present. Traders watch for zero line crossovers to signal potential trend changes. They also watch for big moves, above 50 or below -50 to signal strong price moves.
Wilders' RSI:
The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI, when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
RSX RSI:
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI, but with one important exception: the noise is gone with no added lag.
Rapid RSI:
Rapid RSI Indicator, from Ian Copsey's article in the October 2006 issue of Stocks & Commodities magazine.
RapidRSI resembles Wilder's RSI, but uses a SMA instead of a WilderMA for internal smoothing of price change accumulators.
VHF Adaptive Cycle:
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Band-pass Adaptive Cycle
Even the most casual chart reader will be able to spot times when the market is cycling and other times when longer-term trends are in play. Cycling markets are ideal for swing trading however attempting to “trade the swing” in a trending market can be a recipe for disaster. Similarly, applying trend trading techniques during a cycling market can equally wreak havoc in your account. Cycle or trend modes can readily be identified in hindsight. But it would be useful to have an objective scientific approach to guide you as to the current market mode.
There are a number of tools already available to differentiate between cycle and trend modes. For example, measuring the trend slope over the cycle period to the amplitude of the cyclic swing is one possibility.
We begin by thinking of cycle mode in terms of frequency or its inverse, periodicity. Since the markets are fractal ; daily, weekly, and intraday charts are pretty much indistinguishable when time scales are removed. Thus it is useful to think of the cycle period in terms of its bar count. For example, a 20 bar cycle using daily data corresponds to a cycle period of approximately one month.
When viewed as a waveform, slow-varying price trends constitute the waveform's low frequency components and day-to-day fluctuations (noise) constitute the high frequency components. The objective in cycle mode is to filter out the unwanted components--both low frequency trends and the high frequency noise--and retain only the range of frequencies over the desired swing period. A filter for doing this is called a bandpass filter and the range of frequencies passed is the filter's bandwidth.
Included:
-Toggle on/off bar coloring
-Customize RSI signal using fixed, VHF Adaptive, and Band-pass Adaptive calculations
-Choose from three different RSI types
Happy trading!
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
MACD Histogram on RSI - Hex ColorsThe Moving Average Convergence Divergence ( MACD ) indicator was developed by Gerald Appel in the late 1970s as a tool for identifying changes in momentum, trend strength, and direction in financial markets . Appel designed MACD to provide traders with a clearer view of market trends by comparing two exponential moving averages (EMAs) and their convergence or divergence over time. The indicator became widely popular due to its versatility—it helps traders recognize strong trends while also signaling potential reversals. Over the years, MACD has evolved, with refinements in interpretation and parameter settings, making it a staple in technical analysis. The most impotrtant indications given by MACD are divergences .
MACD divergences are classified into different types based on their strength and reliability in predicting trend reversals . Here are the main classes:
Class A Divergence: This is the strongest type of divergence. It occurs when the price makes a new high (or low), but the MACD fails to confirm it by making a lower high (or higher low). This signals a high probability of trend reversal.
Class B Divergence: In this case, the price forms a double top or double bottom, but the MACD does not reach a new extreme. This suggests a potential reversal but with less certainty compared to Class A.
Class C Divergence: The weakest form of divergence, where the price makes a new high or low, but the MACD forms a pattern similar to a double top or double bottom. This indicates a possible slowdown in momentum rather than a strong reversal.
These divergences help traders assess whether a trend is losing strength and may reverse.
Besides these, there are two other signals that traders should be aware of, viz, ZLR and Shamur signal.
The Zero Line Reject (ZLR) is a concept in MACD analysis where the MACD line approaches the zero line, briefly crosses it, and then reverses direction. This behavior suggests that the trend attempted to shift but failed, reinforcing the prevailing trend. Traders often interpret this as a continuation signal rather than a reversal.
The Shamur Signal , as some traders call it, is a variation of this pattern. It occurs when the MACD line drops below the zero line, rebounds above it, and then resumes its downward movement—or vice versa for bullish setups. This pattern can indicate a false breakout or a temporary shift in momentum before the trend resumes. The key takeaway is that the market attempted to reverse but lacked the strength to sustain the move, making it a potential opportunity for trend traders.
Now let's look at RSI(14) briefly: The Relative Strength Index (RSI) is a widely used momentum oscillator that measures the speed and magnitude of price movements to identify overbought and oversold conditions. Developed by J. Welles Wilder Jr. in 1978, RSI operates on a scale from 0 to 100, with readings above 70 typically indicating an overbought market and readings below 30 signaling an oversold market. Traders use RSI to assess trend strength, spot potential reversals, and confirm price movements. While effective in ranging markets, RSI can also be adapted with divergence analysis and dynamic thresholds to enhance its predictive power.
Now, the question arises why do we use an indicator on indicator?
Using indicator-on-indicator analysis enhances traditional technical indicators by applying secondary calculations to their values, unlocking deeper insights into market behavior. This method offers several advantages:
Refined Signal Filtering – Applying an indicator to another indicator smooths out noise, helping traders avoid false signals and focus on meaningful market trends. For example, using MACD on RSI can reveal momentum shifts that standard RSI alone might overlook.
Multi-Layered Confirmation – Instead of relying on a single indicator, traders get a more nuanced view of price movements. Secondary indicators reinforce decisions, improving accuracy in identifying trend strength and reversals.
Adaptive Market Analysis – Different market environments require different tools. Indicator-on-indicator techniques allow traders to fine-tune strategies based on changing volatility and momentum conditions rather than relying on static thresholds.
Creative Customization – Traders can mold indicators to fit their specific market approach. Whether refining entries/exits or detecting trend exhaustion, these hybrid setups provide tailored insights beyond conventional methods.
This approach is particularly useful for momentum and trend-based trading, offering a more dynamic perspective that adapts to price action in a way traditional indicators cannot.
What are the potential shortcomings of such an approach?
While indicator-on-indicator analysis can refine signals and enhance decision-making, it also comes with several drawbacks that traders should consider:
Lagging Effect – Since indicators are already derivatives of price action, stacking them introduces additional delays in responsiveness. This can lead to late entries or exits, reducing a strategy’s effectiveness in fast-moving markets.
Over-Filtering Signals – Applying an indicator to another can smooth out noise, but it may also suppress valuable early signals. Traders may miss key turning points if too much filtering dilutes the raw market momentum.
Complex Interpretation – Standard indicators have well-defined thresholds and behaviors, but once modified by another indicator, they can become harder to interpret. Traders may struggle to adapt existing strategies or find reliable patterns.
Reduced Versatility – Some hybrid indicators work well in specific market conditions but lose their edge in others. This dependency on particular trends or volatility levels can make a strategy less adaptable.
Potential Redundancy – If indicators are not chosen wisely, layering them may lead to excessive confirmation bias, where multiple indicators show similar information without providing any new insights.
While indicator-on-indicator techniques can refine analysis, careful calibration is required to balance precision with practicality.
The MACD on RSI Indicator merges two powerful momentum-based indicators, offering deeper insights into trend dynamics and market strength . By applying the MACD calculation to the RSI values instead of price, traders can detect subtle shifts in momentum that might be overlooked by traditional MACD or RSI alone.
This hybrid approach enhances trend confirmation , allowing traders to gauge whether RSI’s momentum aligns with MACD's trend direction. It helps in early signal detection , potentially revealing trend shifts before they appear on conventional setups. Additionally, it reduces false signals by filtering RSI fluctuations, making MACD more reactive to meaningful changes in strength rather than short-term noise.
By combining these indicators, traders can refine entries and exits based on momentum divergences, zero-line behaviors, and shifts in trend acceleration. The MACD on RSI setup is particularly useful in identifying trend exhaustion and continuation signals, making it a valuable tool in both ranging and trending markets.
I have primarily used this indicator to spot hidden divergences. So what are they?
Hidden divergences , sometimes referred to as reverse divergences , are a powerful yet often overlooked concept in technical analysis. Unlike regular divergences, which signal potential trend reversals, hidden divergences indicate trend continuation —suggesting that the prevailing trend is likely to persist despite temporary price fluctuations.
Hidden divergences occur when the price makes a higher low in an uptrend or a lower high in a downtrend, while the oscillator (such as RSI, MACD, or Stochastic) forms a lower low or higher high, respectively. This discrepancy suggests that momentum is still strong in the direction of the trend, even though price action may appear to weaken momentarily.
Types of Hidden Divergences
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Hidden Bullish Divergence: Price forms a higher low, but the oscillator prints a lower low. This signals that the uptrend remains intact and is likely to continue.
Hidden Bearish Divergence: Price forms a lower high, but the oscillator prints a higher high. This suggests that the downtrend is still dominant and likely to persist.
Why Hidden Divergences Matter
Hidden divergences are particularly useful for trend-following traders, as they provide early confirmation that a trend is still strong despite minor pullbacks. They help traders avoid premature exits and reinforce confidence in holding positions longer. Additionally, hidden divergences can serve as entry signals, allowing traders to position themselves in the direction of the trend before a new wave of momentum unfolds.
Key Considerations
While hidden divergences are valuable, they should not be used in isolation. Combining them with support/resistance levels, volume analysis, and price action confirmation enhances their reliability. Additionally, they tend to work best in strong trending markets, where momentum indicators align with price direction.
By mastering hidden divergences, traders can refine their ability to ride trends effectively, reducing the risk of exiting too soon or misinterpreting temporary pullbacks as reversals.
In my trading, I have used this indicator since 2009. My general aim is to make it available to all my friends. If you are using it, you are also my friend. So happy trading.
EMA 50/200 Pullback + RSI/SMA RSI
Strategy Description: EMA 50/200 Pullback + RSI/SMA RSI
1. Trend Identification with EMA:
Uses two Exponential Moving Averages (EMA): a fast EMA (default 50) and a slow EMA (default 200).
When the fast EMA crosses above the slow EMA (bullish crossover), an uptrend is identified.
When the fast EMA crosses below the slow EMA (bearish crossover), a downtrend is identified.
The lengths of both EMAs are fully customizable.
2. EMA Distance Condition:
Signals are only valid when the absolute percentage distance between the two EMAs is within a user-defined range (default: 0.4% to 1%).
This helps filter out weak signals when the EMAs are too close or too far apart.
3. Pullback Condition:
After a new trend is detected (EMA crossover), the strategy waits for the price to pull back to touch or cross the fast EMA (EMA 50).
This ensures entries are not taken immediately at the crossover, but after a retracement to a dynamic support/resistance area.
4. RSI Confirmation:
Uses the RSI indicator (default 14) and its Simple Moving Average (SMA RSI, default 14).
Buy signal: RSI crosses above its SMA.
Sell signal: RSI crosses below its SMA.
Both RSI and SMA RSI lengths are fully customizable.
5. Entry Rules:
The indicator only gives the first buy/sell signal after each EMA crossover (start of a new trend), and will not repeat signals until the next EMA crossover.
Buy signal:
Fast EMA crosses above slow EMA
EMA distance is within the valid range
Price pulls back to the fast EMA
RSI crosses above its SMA
Sell signal:
Fast EMA crosses below slow EMA
EMA distance is within the valid range
Price pulls back to the fast EMA
RSI crosses below its SMA
6. Customization:
All parameters (EMA lengths, RSI length, SMA RSI length, EMA distance range) can be adjusted in the indicator’s settings.
Note:
This is a signal indicator, not a complete trading strategy. For real trading, always combine with risk management and additional confirmations.
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.
