RSI Fractal Energy with Signal LineHere is my second script.
Introducing the RSI Fractal Energy Indicator.
This incorporates the Relative-Strength Index and Fractal Energy as the name implies.
This will help the trader identify:
1. Trend Strength: The higher the value of the indicator can indicate the strength of the trend and vice versa.
2. Reversal points: If the indicator is showing weakness and the market is making higher highs and lower lows this can indicate a reversal is possible.
3. Overbought and Oversold conditions: This indicator is currently set to 30(Oversold) and 70(Overbought), but this can be changed in the source code.
I also added a signal line to provide bullish/bearish crossovers.
I use this indicator on the 1 hr chart, but it can be used on any time frame.
Please let me know if you have any questions, comments, or concerns. Always open to learning more.
I will also provide updates as I continue to use my indicators.
Happy trading!
Oscillators
Relative Trend Index (RTI) by Zeiierman█ Overview
The Relative Trend Index (RTI) developed by Zeiierman is an innovative technical analysis tool designed to measure the strength and direction of the market trend. Unlike some traditional indicators, the RTI boasts a distinctive ability to adapt and respond to market volatility, while still minimizing the effects of minor, short-term market fluctuations.
The Relative Trend Index blends trend-following and mean-reverting characteristics, paired with a customizable and intuitive approach to trend strength, and its sensitivity to price action makes this indicator stand out.
█ Benefits of using this RTI instead of RSI
The Relative Strength Index (RSI) and the Relative Trend Index (RTI) are both powerful technical indicators, each with its own unique strengths.
However, there are key differences that make the RTI arguably more sophisticated and precise, especially when it comes to identifying trends and overbought/oversold (OB/OS) areas.
The RSI is a momentum oscillator that measures the speed and change of price movements and is typically used to identify overbought and oversold conditions in a market. However, its primary limitation lies in its tendency to produce false signals during extended trending periods.
On the other hand, the RTI is designed specifically to identify and adapt to market trends. Instead of solely focusing on price changes, the RTI measures the relative positioning of the current closing price within its recent range, providing a more comprehensive view of market conditions.
The RTI's adaptable nature is particularly valuable. The user-adjustable sensitivity percentage allows traders to fine-tune the indicator's responsiveness, making it more resilient to sudden market fluctuations and noise that could otherwise produce false signals. This feature is advantageous in various market conditions, from trending to choppy and sideways-moving markets.
Furthermore, the RTI's unique method of defining OB/OS zones takes into account the prevailing trend, which can provide a more precise reflection of the market's condition.
While the RSI is an invaluable tool in many traders' toolkits, the RTI's unique approach to trend identification, adaptability, and enhanced definition of OB/OS zones can provide traders with a more nuanced understanding of market conditions and potential trading opportunities. This makes the RTI an especially powerful tool for those seeking to ride long-term trends and avoid false signals.
█ Calculations
In summary, while simple enough, the math behind the RTI indicator is quite powerful. It combines the quantification of price volatility with the flexibility to adjust the trend sensitivity. It provides a normalized output that can be interpreted consistently across various trading scenarios.
The math behind the Relative Trend Index (RTI) indicator is rooted in some fundamental statistical concepts: Standard Deviation and Percentiles.
Standard Deviation: The Standard Deviation is a measure of dispersion or variability in a dataset. It quantifies the degree to which each data point deviates from the mean (or average) of the data set. In this script, the standard deviation is computed on the 'close' prices over a specified number of periods. This provides a measure of the volatility in the price over that period. The higher the standard deviation, the more volatile the price has been.
Percentiles: The percentile is a measure used in statistics indicating the value below which a given percentage of observations in a group falls. After calculating the upper and lower trends for the last 'length' periods and sorting these values, the script uses the 'Sensitivity ' parameter to extract percentiles from these sorted arrays. This is a powerful concept because it allows us to adjust the sensitivity of our signals. By choosing different percentiles (controlled through the 'Sensitivity' parameter), we can decide whether we want to react only to extreme events (high percentiles) or be more reactive and consider smaller deviations from the norm as significant (lower percentiles).
Finally, the script calculates the Relative Trend Index value, which is essentially a normalized measure indicating where the current price falls between the upper and lower trend values. This simple ratio is incredibly powerful as it provides a standardized measure that can be used across different securities and market conditions to identify potential trading signals.
Core Components
Trend Data Count: This parameter denotes the number of data points used in the RTI's calculation, determining the trend length. A higher count captures a more extended market view (long-term trend), providing smoother results that are more resistant to sudden market changes. In contrast, a lower count focuses on more recent data (short-term trend), yielding faster responses to market changes, albeit at the cost of increased susceptibility to market noise.
Trend Sensitivity Percentage: This parameter is employed to select the indices within the trend arrays used for upper and lower trend definitions. By adjusting this value, users can affect the sensitivity of the trend, with higher percentages leading to a less sensitive trend.
█ How to use
The RTI plots a line that revolves around a mid-point of 50. When the RTI is above 50, it implies that the market trend is bullish (upward), and when it's below 50, it indicates a bearish (downward) trend. Furthermore, the farther the RTI deviates from the 50 line, the stronger the trend is perceived to be.
Bullish
Bearish
The RTI includes user-defined Overbought and Oversold levels. These thresholds suggest potential trading opportunities when they are crossed, serving as a cue for traders to possibly buy or sell. This gives the RTI an additional use case as a mean-reversion tool, in addition to being a trend-following indicator.
In short
Trend Confirmation and Reversals: If the percentage trend value is consistently closer to the upper level, it can indicate a strong uptrend. Similarly, if it's closer to the lower level, a downtrend may be in play. If the percentage trend line begins to move away from one trend line towards the other, it could suggest a potential trend reversal.
Identifying Overbought and Oversold Conditions: When the percentage trend value reaches the upper trend line (signified by a value of 1), it suggests an overbought condition - i.e., the price has been pushed up, perhaps too far, and could be due for a pullback, or indicating a strong positive trend. Conversely, when the percentage trend value hits the lower trend line (a value of 0), it indicates an oversold condition - the price may have been driven down and could be set to rebound, or indicate a strong negative trend. Traders often use these overbought and oversold signals as contrarian indicators, considering them potential signs to sell (in overbought conditions) or buy (in oversold conditions). If the RTI line remains overbought or oversold for an extended period, it indicates a strong trend in that direction.
█ Settings
One key feature of the RTI is its configurability. It allows users to set the trend data length and trend sensitivity.
The trend data length represents the number of data points used in the trend calculation. A longer trend data length will reflect a more long-term trend, whereas a shorter trend data length will capture short-term movements.
Trend sensitivity refers to the threshold for determining what constitutes a significant trend. High sensitivity levels will deem fewer price movements as significant, hence making the trend less sensitive. Conversely, low sensitivity levels will deem more price movements as significant, hence making the trend more sensitive.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Correlation for Major Markets This indicator plots the correlation of major markets as an indicator. The major markets covered are the following:
DXY
GC
CL
ES
RTY
ZN
The chart shows all the correlations and cross-correlations of the above instruments plotted together. The user can go in the settings and choose what correlation to see, or if multiple correlations, choose to plot the indicator a second time.
Revolution SMA-EMA DivergenceThis is an MACD inspired indicator and it analyzes the difference between the SMA and EMA using the same time period. Unlike the MACD, it can give you a better understanding of the overall trend. Values above 0 is bullish and below 0 bearish. It consists of two cycles: Black histogram - the long-term cycle and orange histogram - the short-term cycle, as well as timing signal (red line).
RSI MTF [Market Yogi]The Multi-Time Frame RSI with Money Flow Index and Average is a powerful trading indicator designed to help traders identify overbought and oversold conditions across multiple time frames. It combines the Relative Strength Index (RSI) with the Money Flow Index (MFI) and provides an average value for better accuracy.
The Relative Strength Index (RSI) is a popular momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100 and is used to identify overbought and oversold conditions in an asset. By incorporating the RSI across multiple time frames, this indicator offers a broader perspective on market sentiment.
In addition to the RSI, this indicator also includes the Money Flow Index (MFI). The MFI is a volume-based oscillator that measures the inflow and outflow of money into an asset. It takes into account both price and volume, providing insights into the strength and direction of buying and selling pressure.
By combining the RSI and MFI across multiple time frames, traders gain a comprehensive understanding of market dynamics. The indicator allows for comparing the RSI and MFI values across different time frames, enabling traders to identify divergences and potential trend reversals.
Furthermore, this indicator provides an average value of the multi-time frame RSI, offering a consolidated signal that helps filter out noise and enhance the accuracy of trading decisions.
Key Features:
1. Multi-Time Frame RSI: Combines the RSI across different time frames to provide a comprehensive view of market sentiment.
2. Money Flow Index (MFI): Incorporates the MFI to gauge buying and selling pressure based on both price and volume.
3. Average Calculation: Computes the average value of the multi-time frame RSI to generate a consolidated trading signal.
4. Divergence Detection: Enables traders to spot divergences between the RSI and MFI values, indicating potential trend reversals.
5. Overbought and Oversold Levels: Highlights overbought and oversold levels on the RSI, aiding in timing entry and exit points.
The Multi-Time Frame RSI with Money Flow Index and Average is a versatile tool that can be applied to various trading strategies, including trend following, swing trading, and mean reversion. Traders can adjust the time frame settings to suit their preferences and trading style.
Note: It's important to use this indicator in conjunction with other technical analysis tools and indicators to validate signals and make informed trading decisions.
Heikin Ashi ROC Percentile Strategy**User Guide for the "Heikin Ashi ROC Percentile Strategy"**
This strategy, "Heikin Ashi ROC Percentile Strategy", is designed to provide an easy-to-use framework for trading based on the Heikin Ashi Rate of Change (ROC) and its percentiles.
Here's how you can use it:
1. **Setting the Start Date**: You can set the start date for the strategy in the user inputs at the top of the script. The variable `startDate` defines the point from which the script begins executing trades. Simply input the desired date in the format "YYYY MM DD". For example, to start the strategy from March 3, 2023, you would enter `startDate = timestamp("2023 03 03")`.
2. **Adjusting the Midline, Lookback Period, and Stop Loss Level**: The `zerohLine`, `rocLength`, and `stopLossLevel` inputs allow you to adjust the baseline for ROC, the lookback period for the SMA and ROC, and the level at which the strategy stops the loss, respectively. By tweaking these parameters, you can fine-tune the strategy to better suit your trading style or the particular characteristics of the asset you are trading.
3. **Understanding the Trade Conditions**: The script defines conditions for entering and exiting long and short positions based on crossovers and crossunders of the ROC and the upper and lower "kill lines". These lines are defined as certain percentiles of the ROC's highest and lowest values over a specified lookback period. When the ROC crosses above the lower kill line, the script enters a long position; when it crosses below the upper kill line, it exits the position. Similarly, when the ROC crosses below the upper kill line, the script enters a short position; when it crosses above the lower kill line, it exits the position.
In my testing, this strategy performed best on a day and hour basis. However, I encourage you to experiment with different timeframes and settings to see how the strategy performs under various conditions. Remember, there's no one-size-fits-all approach to trading; what works best will depend on your specific circumstances, goals, and risk tolerance.
If you find other useful applications for this strategy, please let me know in the comments. Your feedback is invaluable in helping to refine and improve this tool. Happy trading!
Trailing Stop with RSI - Momentum-Based StrategyTrailing Stop with RSI - Momentum-Based Strategy
Description:
The Trailing Stop with RSI strategy combines momentum analysis and trailing stop functionality to help traders identify potential entry and exit points in their trading decisions. This strategy is suitable for various markets and timeframes.
Key Features:
Momentum Analysis: The strategy incorporates momentum indicators to identify potential buying and selling opportunities based on momentum shifts in the price.
Trailing Stop Functionality: The strategy utilizes a trailing stop to protect profits and dynamically adjust the stop loss level as the trade moves in the desired direction.
RSI Confirmation: The Relative Strength Index (RSI) is included to provide additional confirmation for trade entries by considering overbought and oversold conditions.
How to Use:
Entry Conditions: Long positions are triggered when positive momentum is detected, and the RSI confirms an oversold condition. Short positions are triggered when negative momentum is detected, and the RSI confirms an overbought condition.
Trailing Stop Activation: Once a position is opened, the trailing stop is activated when the specified profit level (as a percentage) is reached.
Trailing Stop Level: The trailing stop maintains a stop loss level at a specified distance (as a percentage) from the highest profit achieved since opening the position.
Exit Conditions: The trailing stop will trigger an exit and close all positions when the trailing stop level is breached.
Markets and Conditions:
This strategy can be applied to various markets, including stocks, forex, cryptocurrencies, and commodities. It can be used in trending and ranging market conditions, making it versatile for different market environments.
Important Considerations:
Adjust Parameters: Traders can modify the length of the momentum and RSI indicators to suit their preferred timeframe and trading style.
Risk Management: It is recommended to consider appropriate position sizing, risk-to-reward ratios, and overall risk management practices when using this strategy.
Backtesting and Optimization: Traders are encouraged to backtest the strategy on historical data and optimize the parameters to find the best settings for their chosen market and timeframe.
By incorporating momentum analysis, trailing stop functionality, and RSI confirmation, this strategy aims to provide traders with a systematic approach to capturing profitable trades while managing risk effectively.
Linear Correlation Coefficient W/ MAs and Significance TestsThis Linear CC takes into account the log-normal distribution of stock prices and performs Pearson correlation on that data set. It also smoothens the results into an easy to read oscillator, and performs a two-tail t-test on the correlation coefficient data (with a = 0.05) to determine the significance of the coefficients. Significant results are shown in a solid yellow color while insignificant results are shown in a dark yellow color (you can eyeball this with a normal LCC by looking at results around -0.5 to +0.5).
Two MAs are provided as well for a quick trend analysis. You can reduce the lookback period, but it defaults to 31 for the sake of statistical standards.
Futures All List / Sell SignalAs of May 2023, there are more than 180 usdt perpetual coins on the binance futures exchange. These coins are included in the indicator in lists of 40. They are sorted instantly in the table from largest to smallest. The sorting style can be changed in the indicator settings. This indicator collects RSI and TSI values at desired values. The result has a maximum value of 600. A value of 600 signals that the price will decrease or remain stable for a certain period of time. Generally, a short can be expected from the closest point to 600. If 3 separate lists are selected by using 3 of these indicators, 120 coins can be analyzed at the same time. Available in all time zones. Examine it in a 3-minute timeframe. The line inside the indicator draws the instantaneous values of the relevant coin.
RSI-MFI Machine Learning [ Manhattan distance ]The RSI-MFI Machine Learning Indicator is a technical analysis tool that combines the Relative Strength Index (RSI) and Money Flow Index (MFI) indicators with the Manhattan distance metric.
It aims to provide insights into potential trade setups by leveraging machine learning principles and calculating distances between current and historical data points.
The indicator starts by calculating the RSI and MFI values based on the specified periods for each indicator.
The RSI measures the strength and speed of price movements, while the MFI evaluates the inflow and outflow of money in the market.
By combining these two indicators, the indicator captures both price momentum and money flow dynamics.
To apply machine learning principles , the indicator utilizes the Manhattan distance metric to quantify the similarity or dissimilarity between different data points.
The Manhattan distance is calculated by taking the absolute differences between corresponding RSI and MFI values of the current point and historical points.
Next, the indicator determines the nearest neighbors based on the calculated Manhattan distances.
The number of nearest neighbors is determined by the square root of the specified count of neighbors.
By identifying similar patterns and behaviors in the historical data, the indicator aims to uncover potential trade opportunities.
Trade signals are generated based on the calculated distances. The indicator compares each distance with the maximum distance encountered so far.
If a new maximum distance is found, it updates the value and considers the corresponding direction as a potential trade signal. The trade signals are stored in an array for further analysis.
Furthermore, the indicator considers the price action and a calculated regression line to differentiate between long and short trade signals.
Long trade signals are identified when the closing price is above the regression line, indicating a potentially bullish setup.
Short trade signals are identified when the closing price is below the regression line, indicating a potentially bearish setup.
The RSI-MFI Machine Learning Indicator visualizes the regression line on the price chart and labels the bars accordingly. It highlights the regression line with different colors based on the trade signals, making it easier for traders to identify potential entry or exit points.
Traders can use the RSI-MFI Machine Learning Indicator as a tool to analyze price movements, evaluate market conditions based on RSI and MFI, leverage machine learning concepts to find similar patterns, and make informed trading decisions.
Bensler COT OscillatorI tried to replicate the indicator I think Jason Shapiro from Crowded Market Report has kind of alluded to on his interviews and YouTube channel. I think I made the default colors on my indicator match Shapiro's. It's best if used in parallel with the indicator CoT-Buschi which is a nice COT indicator that I based my oscillator off of. That way you can see the effect of the oscillator and decide if you like how the time period affects the output. I am a total noob so just in case you think I know what I'm talking about or doing, I don't.
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..."
MACD Normalized [ChartPrime]Overview of MACD Normalized Indicator
The MACD Normalized indicator, serves as an asset for traders seeking to harness the power of the moving average convergence divergence (MACD) combined with the advantages of the stochastic oscillator. This novel indicator introduces a normalized MACD, offering a potentially enhanced flexibility and adaptability to numerous market conditions and trading techniques.
This indicator stands out by normalizing the MACD to its average high and average low, also factoring in the deviation of the high-low position from the mean. This approach incorporates the high and low in the calculations, providing the benefits of stochastic without its common drawbacks, such as clipping problems. As a result, the indicator becomes exceptionally versatile and suitable for various trading strategies, including both faster and slower settings.
The MACD Normalized Indicator boasts a variety of options and settings. The features include:
Enable Ribbon: Toggle the display of the ribbon accompanying the MACD Normalized, as desired.
Fast Length: Determine the movement speed of the fast line to receive advance notice of potential market opportunities.
Slow Length: Control the movement pace of the slow line for smoother signals and a comprehensive outlook on market trends.
Average Length: Specify the length used to calculate the high and low averages, providing greater control over the indicator's granularity.
Upper Deviation: Establish the extent to which the high and low values deviate from the mean, ensuring adaptability to diverse market situations.
Inner Band (Middle Deviation): Adjust the balance between the high and low deviations to create an inner band signal, giving traders a secondary level of market analysis and decision-making support.
Enable Candle Color: Enable the coloring of candles based on the MACD Normalized value for effortless visualization of trading potential.
Use Cases for the MACD Normalized Indicator
In addition to analyzing market trends and identifying potential trading opportunities, ChartPrime's MACD Normalized Indicator offers a range of applications for traders. These use cases encompass distinct trading scenarios and strategies:
Overbought and Oversold Regions
One of the key applications of the MACD Normalized Indicator is identifying overbought and oversold regions. Overbought refers to a situation where an asset's price has risen significantly and is expected to face a downturn, while oversold indicates a price drop that may subsequently lead to a reversal.
By adjusting the indicator's parameters, such as the upper and inner deviation levels, traders can set precise boundaries to determine overbought and oversold areas. When the MACD moves into the upper region, it may signal that the asset is overbought and due for a price correction. Conversely, if the MACD enters the lower region, it possibly indicates an oversold condition with the potential for a price rebound.
Signal Line Crossovers
The MACD Normalized Indicator displays two lines: the fast line and the slow line (inner band). A common trading strategy involves observing the intersection of these two lines, known as a crossover. When the fast line crosses above the slow line, it may signify a bullish trend or a potential buying opportunity. Conversely, a crossover with the fast line moving below the slow line typically indicates a bearish trend or a selling opportunity.
Divergence and Convergence
Divergence occurs when the price movement of an asset does not align with the corresponding MACD values. If the price establishes a new high while the MACD fails to do the same, a bearish divergence emerges, suggesting a potential downtrend. Similarly, a bullish divergence takes place when the price forms a new low but the MACD does not follow suit, hinting at an upcoming uptrend.
Convergence, on the other hand, is represented by the MACD lines moving closer together. This movement signifies a potential change in the trend, providing traders with a timely opportunity to enter or exit the market.
MonkeyblackmailThis script consists of several sections. test it and tell me your concerns. a lot of more works will be done
Volume Accumulation : The first part of the script checks for a new 5-minute interval and accumulates the volume of the current interval. It separates the volume into buying volume and selling volume based on whether the closing price is closer to the high or low of the bar.
Volume Normalization and Pressure Calculation : The script then normalizes the volume with a 20-period EMA, and calculates buying pressure, selling pressure, and total pressure. These calculations provide insight into the underlying demand (buying pressure) and supply (selling pressure) conditions in the market.
RSI Calculation and Overbought/Oversold Conditions : The script calculates the RSI (Relative Strength Index) and checks whether it is in an overbought (RSI > 70) or oversold (RSI < 30) state. The RSI is a momentum indicator, providing insights into the speed and change of price movements.
Volume Condition Check and Wondertrend Indicator : The script checks if the volume is high for the past five bars. If it is, it applies the Wondertrend Indicator, which uses a combination of the Parabolic SAR (Stop and Reverse) and Keltner Channel to identify potential trends in the market.
Swing High/Low and Fibonacci Retracement : The script identifies swing high and swing low points using a specified pivot length. Then, it draws Fibonacci retracement levels between these swing high and swing low points.
he monkeyblackmail script works well in the 5 minutes chart and combines several elements of technical analysis, including volume analysis, momentum indicators, trend-following indicators, volatility channels, and Fibonacci retracements. It aims to provide a comprehensive view of the market condition, highlighting key levels and potential trends in an easily understandable format. Don’t be too quick to start trading with it, first study how it work and you will blackmail the market.
Divergence RSI V2This indicator is based on the concept of divergence. I recommend that you find out and study about this yourself as the concept of divergence will not be explained in depth in this description.
This indicator will show divergences between the asset price and the RSI oscillator. The indicator will look for divergent points between the rising highs and falling lows of the asset; and the rising lows and falling highs of the RSI.
The trend of the asset tends to follow the behavior of the oscillator when a divergence occurs. So if we find a divergence between the two, the price of the asset is likely to follow the trend of the oscillator.
This indicator looks for these types of divergences and will show (based on the RSI) if there is a bullish or bearish divergence.
If it is bullish, it will show a line joining those points in green and if it is bearish in red. In addition, it will show a label where you can see the number of occurrences that have been found from a certain point to another.
Note: this indicator can be complemented with the “Divergence V2” indicator which is also found in my library.
Settings
Backtesting Bars : is the number of bars back that the indicator will check. No more than 1000 is recommended as this will slow down the search.
Tolerance: number of times a divergent line can cross a bar. If you place 0, no bar can be crossed by a diverging line.
Min Bars To detect: will only search for divergences (or lines) that have the minimum number of bars selected in this option. Default option is 30.
Min Bars To detect: it will only search for divergences (or lines) that have the maximum number of bars selected in this option. Default option is 100.
Source Highs: The high points will be based on the close of each bar. You can use as another alternative.
Source Lows: The low points will be based on the close of each bar. You can use as another alternative.
Use squeeze parameter: only look for divergences (bullish or bearish) at times when such an indicator is in favor of the trend or coincides with the corresponding RSI divergence.
Divergence V2This indicator is based on the concept of divergence. I recommend that you find out and study about this yourself as the concept of divergence will not be explained in depth in this description.
This indicator will show divergences between the asset price and the RSI oscillator. The indicator will look for divergent points between the rising highs and falling lows of the asset; and the rising lows and falling highs of the RSI.
The trend of the asset tends to follow the behavior of the oscillator when a divergence occurs. So if we find a divergence between the two, the price of the asset is likely to follow the trend of the oscillator.
This indicator looks for these types of divergences and will show (based on the RSI) if there is a bullish or bearish divergence.
If it is bullish, it will show a line joining those points in green and if it is bearish in red. In addition, it will show a label where you can see the number of occurrences that have been found from a certain point to another.
Note: this indicator can be complemented with the “Divergence RSI V2” indicator which is also found in my library.
Settings
Backtesting Bars: is the number of bars back that the indicator will check. No more than 1000 is recommended as this will slow down the search.
Tolerance: number of times a divergent line can cross a bar. If you place 0, no bar can be crossed by a diverging line.
Min Bars To detect: will only search for divergences (or lines) that have the minimum number of bars selected in this option. Default option is 30.
Min Bars To detect: it will only search for divergences (or lines) that have the maximum number of bars selected in this option. Default option is 100.
Source Highs: The high points will be based on the close of each bar. You can use as another alternative.
Source Lows: The low points will be based on the close of each bar. You can use as another alternative.
Use squeeze parameter : only look for divergences (bullish or bearish) at times when such an indicator is in favor of the trend or coincides with the corresponding RSI divergence.
MTF Smoothable RSI Nexus [DarkWaveAlgo]🧾 Description:
A nexus is a connection, link, or neuronal junction where signals and information are transmitted between different elements.
The MTF Smoothable RSI Nexus indicator serves as a nexus between smoothable, MTF RSIs by facilitating the visualization and interaction of up to six multi-timeframe RSIs, each with its own customizable timeframe, period, coloring customization, and price source. By combining these various RSIs, it helps you create a comprehensive view of MTF momentum trends and dynamics.
It acts as a control center that brings together multiple MTF RSIs and allows you to visualize the interactions between them with exceptional ease-of-use and customizability, helping to provide you with valuable insights into potential trend reversals, momentum shifts, and trading opportunities.
💡 Originality and Usefulness:
While there are other multi-timeframe RSI indicators available, MTF Smoothable RSI Nexus' global smoothing settings offer a flexible take on the development of price momentum across various timeframes. Its semi-transparent overbought and oversold fill zones create a compounding opaqueness when RSIs from multiple timeframes coalesce - making visual assessment of momentum extremes incredibly easy. We also believe it stands above the rest with its sheer quantity and quality of settings, features, and usability.
✔️ Re-Published to Avoid Misleading Values
This script has been re-published to ensure that it does not use `request.security()` calls using lookahead_on to access future data when referencing RSIs from other timeframes. This decreases the likelihood that the indicator will provide deceiving values. This change has been made in accordance with the PineScript documentation: "Using barmerge.lookahead_on at timeframes higher than the chart's without offsetting the `expression` argument like in `close [ ]` will introduce future leak in scripts, as the function will then return the `close` price before it is actually known in the current context" and the Publishing Rule: "Do not use `request.security()` calls using lookahead to access future data". Historical and real-time values may differ when referencing timeframes other than the chart's.
💠 Features:
6 toggleable MTF Smoothable RSIs with customizable timeframes, periods, and price sources
Compounding overbought/oversold filled areas for easy MTF momentum analysis
Aesthetic and flexible coloring and color theme styling options
End-of chart labels and options for ease-of-use and legibility
⚙️ Settings:
Use a Color Theme: When this setting is enabled, all manual 'Bullish and Bearish Colors' are overridden. All plots will use the colors from your selected Color Theme - excepting those plots set to use the 'Single Color' coloring method.
Color Theme: When 'Use a Color Theme' is enabled, this setting allows you to select the color theme you wish to use.
Hide RSIs on Timeframes Lower Than the Chart: When this setting is enabled, any MTF RSI with a timeframe smaller than that of the chart the indicator is applied to will be hidden from view.
Overbought Level: Set the level value for the overbought line.
Oversold Level: Set the level value for the oversold line.
Overbought Color: When 'Use a Color Theme' is disabled, this will set the color for the Overbought Level line.
Oversold Color: When 'Use a Color Theme' is disabled, this will set the color for the Oversold Level line.
Fill Overbought/Oversold Areas: When enabled, the area between any MTF RSI and the Overbought/Oversold level will be filled with semi-transparent coloring if that RSI is above/below the respective level.
Smooth RSIs: When enabled, all MTF RSIs will be processed through an additional smoothing average calculation.
Smoothing Type: Set the calculation type for the smoothing process. Options include: Exponential, Simple, Weighted, Volume-Weighted, and Hull.
Enable: Show/hide a specific MTF RSI.
Timeframe: Set the timeframe for a specific MTF RSI.
Period: Set the lookback period for a specific MTF RSI.
Source Price: Set the source value used for a specific MTF RSI's calculation.
Coloring Method: Set the coloring method for this specific RSI. The coloring method defines how the RSI should be dynamically colored. Options include: 'Single Color' and 'Increasing/Decreasing'.
Bullish Color: When 'Use a Color Theme' is disabled, this will set the 'bullish color' for this specific MTF RSI.
Bearish Color: When 'Use a Color Theme' is disabled, this will set the 'bearish color' for this specific MTF RSI.
Single Color: When the 'Coloring Method' is set to Single Color for this specific RSI, this color option will set the RSI's color.
Enable Label: When enabled, a label will show at the end of the chart displaying the timeframe, period, smoothing type (if any), and current price value of this specific MTF RSI.
Size: Sets the font size of this specific MTF RSI's label.
Label Offset (in Bars): Sets the distance from the latest bar, in bars, at which this specific MTF RSI's label is displayed.
Show Label Line: When enabled, this specific MTF RSI's label will be accommodated by a dashed line connecting it to its plot.
📈 Chart:
The chart shown in this original publication displays the 15 minute chart on ETHUSDT. Displayed on the chart are 4 MTF RSIs: the 15m 14 WMA-Smoothed RSI, 1h 14 WMA-Smoothed RSI, 4h 14 WMA-Smoothed RSI, and the 1D 14 WMA-Smoothed RSI - offering an exemplary view of how you can easily use these MTF RSIs to your advantage in analyzing momentum relationship across multiple timeframes.
Regularized-Moving-Average Oscillator SuiteThe Regularized-MA Oscillator Suite is a versatile indicator that transforms any moving average into an oscillator. It comprises up to 13 different moving average types, including KAMA, T3, and ALMA. This indicator serves as a valuable tool for both trend following and mean reversion strategies, providing traders and investors with enhanced insights into market dynamics.
Methodology:
The Regularized MA Oscillator Suite calculates the moving average (MA) based on user-defined parameters such as length, moving average type, and custom smoothing factors. It then derives the mean and standard deviation of the MA using a normalized period. Finally, it computes the Z-Score by subtracting the mean from the MA and dividing it by the standard deviation.
KAMA (Kaufman's Adaptive Moving Average):
KAMA is a unique moving average type that dynamically adjusts its smoothing period based on market volatility. It adapts to changing market conditions, providing a smoother response during periods of low volatility and a quicker response during periods of high volatility. This allows traders to capture trends effectively while reducing noise.
T3 (Tillson's Exponential Moving Average):
T3 is an exponential moving average that incorporates additional smoothing techniques to reduce lag and provide a more responsive indicator. It aims to maintain a balance between responsiveness and smoothness, allowing traders to identify trend reversals with greater accuracy.
ALMA (Arnaud Legoux Moving Average):
ALMA is a moving average type that utilizes a combination of linear regression and exponential moving average techniques. It offers a unique way of calculating the moving average by providing a smoother and more accurate representation of price trends. ALMA reduces lag and noise, enabling traders to identify trend changes and potential entry or exit points more effectively.
Z-Score:
The Z-Score calculation in the Regularized-MA Oscillator Suite standardizes the values of the moving average. It measures the deviation of each data point from the mean in terms of standard deviations. By normalizing the moving average through the Z-Score, the indicator enables traders to assess the relative position of price in relation to its mean and volatility. This information can be valuable for identifying overbought and oversold conditions, as well as potential trend reversals.
Utility:
The Regularized-MA Oscillator Suite with its unique moving average types and Z-Score calculation offers traders and investors powerful analytical tools. It can be used for trend following strategies by analyzing the oscillator's position relative to the midline. Traders can also employ it as a mean reversion tool by identifying peak values above user-defined deviations. These features assist in identifying potential entry and exit points, enhancing trading decisions and market analysis.
Key Features:
Variety of 13 MA types.
Potential reversal point bubbles.
Bar coloring methods - Trend (Midline cross), Extremities, Reversions, Slope
Example Charts:
Simple Ultimate Oscillator█ OVERVIEW
This indicator as an educational and showcase the usage of user-defined types (UDT) or objects for Ultimate Oscillator.
█ CREDITS
TradingView
█ FEATURES
1. Color of plot is based on contrast color of chart background.
2. Plot fill of overbought and oversold.
3. Support Multi Timeframe.
RSI-CCI Fusion StrategyRSI-CCI Fusion Strategy: Harnessing the Power of RSI and CCI
The "RSI-CCI Fusion Strategy" is a powerful trading approach that combines the strengths of the Relative Strength Index (RSI) and the Commodity Channel Index (CCI) to provide enhanced trading insights. This strategy is based on the popular "RSI & CCI Fusion + Alerts" indicator, which utilizes the RSI and CCI indicators from TradingView .
1. Overview of RSI and CCI:
The Relative Strength Index (RSI) is a widely used momentum oscillator that measures the speed and change of price movements. It helps traders identify overbought and oversold conditions in the market. On the other hand, the Commodity Channel Index (CCI) is a versatile indicator that identifies cyclical trends and provides insights into overbought and oversold levels.
2. The RSI-CCI Fusion Strategy:
The RSI-CCI Fusion Strategy harnesses the combined power of the RSI and CCI indicators to generate robust trading signals. By blending the RSI and CCI, this strategy captures both momentum and cyclical trend dynamics, offering a more comprehensive view of the market.
3. Utilizing the RSI-CCI Fusion Indicator + Alerts:
The "RSI & CCI Fusion + Alerts" indicator serves as the backbone of the RSI-CCI Fusion Strategy. It integrates the RSI and CCI indicators from TradingView, providing traders with a clear and actionable trading signal.
4. How it Works:
- The indicator calculates the RSI and CCI values, standardizes them using z-score, and combines them with a weighted fusion approach.
- The resulting RSI-CCI Fusion indicator is plotted on the chart, accompanied by dynamic upper and lower bands, which help identify potential overbought and oversold conditions.
- Traders can customize alerts based on their preferred thresholds and timeframes, enabling them to receive timely notifications for potential buy and sell signals.
5. Implementing the RSI-CCI Fusion Strategy:
Traders following the RSI-CCI Fusion Strategy can utilize the buy and sell signals generated by the RSI-CCI Fusion indicator. When the indicator crosses below the upper band, it may signal a potential selling opportunity. Conversely, when it crosses above the lower band, it may indicate a potential buying opportunity. Traders can also consider additional factors and technical analysis tools to validate the signals before making trading decisions.
Conclusion: The RSI-CCI Fusion Strategy provides traders with a robust approach to analyze the market and make well-informed trading decisions. By incorporating the RSI and CCI indicators through the "RSI & CCI Fusion + Alerts" indicator, traders can take advantage of the combined strengths of these indicators. However, it is important to remember that no strategy guarantees success, and traders should always practice risk management and conduct thorough analysis before executing trades using this strategy.
Disclaimer: Trading involves risks, and it is important to conduct your own research and consult with a financial advisor before making any investment decisions.
Note: The RSI-CCI Fusion Strategy serves as a general guide, and individual traders may have different preferences and trading styles.
RSI-CCI Fusion + AlertsThe "RSI-CCI Fusion" indicator combines the Relative Strength Index (RSI) and Commodity Channel Index (CCI) from TradingView.
RSI-CCI Fusion: Unlocking Synergies in Technical Analysis
Technical analysis plays a crucial role in understanding market dynamics and making informed trading decisions. I often rely on a combination of indicators to gain insights into price movements and identify potential trade opportunities. In the lines below, I will explore the "RSI-CCI Fusion" indicator, a powerful tool that combines the strengths of the Relative Strength Index (RSI) and the Commodity Channel Index (CCI) to provide enhanced trading insights.
1. Understanding the RSI and CCI Indicators
Before delving into the fusion of these indicators, let's briefly review their individual characteristics. The RSI is a widely used momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100, with readings above 70 indicating overbought conditions and readings below 30 indicating oversold conditions.
On the other hand, the CCI is a versatile indicator designed to identify cyclical trends in prices. It measures the distance between the price and its statistical average, thereby providing valuable insights into overbought and oversold levels.
2. The Concept of RSI-CCI Fusion
The RSI-CCI Fusion indicator is born out of my desire to harness the collective power of the RSI and CCI. By combining these indicators, I can benefit from a more comprehensive trading signal that captures both momentum and cyclical trend dynamics.
The fusion process involves assigning weights to the RSI and CCI, creating a blended indicator that reflects their relative importance. The weighted combination ensures that both indicators contribute meaningfully to the final result.
To maintain consistency, the RSI and CCI values are standardized using the z-score technique. This normalization process brings the values to a common scale, making them directly comparable. Rescaling is then applied to bring the combined indicator back to its original scale, facilitating intuitive interpretation.
3. Interpreting the RSI-CCI Fusion Indicator
When plotting the RSI-CCI Fusion indicator on a chart, I gain valuable insights into market dynamics and potential trading opportunities. The indicator's plot typically includes dynamic upper and lower bands, which are calculated based on the indicator's standard deviation. These bands provide boundaries for evaluating overbought and oversold conditions.
When the RSI-CCI Fusion indicator crosses above the lower band, it suggests oversold conditions and potential buying opportunities. Conversely, when the indicator crosses below the upper band, it indicates overbought conditions and potential selling opportunities. I also pay attention to the baseline, which represents the neutral level and may signal potential trend reversals.
4. Utilizing Alerts for Trading Decisions
The RSI-CCI Fusion indicator can be further enhanced by incorporating alerts. These alerts notify me when the indicator generates buy or sell signals, enabling me to take prompt action. I can customize the alerts based on my preferred thresholds and timeframes.
However, it is crucial to remember that the RSI-CCI Fusion indicator should not be relied upon in isolation. To increase the robustness of my trading decisions, it is recommended to combine the indicator with other analysis techniques such as trend lines, support and resistance levels, or additional indicators. This convergence of analysis methodologies enhances the overall accuracy of my trade signals.
Conclusion: The RSI-CCI Fusion indicator represents a compelling approach to technical analysis by synergizing the strengths of the RSI and CCI. By combining momentum and cyclical trend dynamics, I gain a more comprehensive view of market conditions. The fusion of these indicators, accompanied by timely alerts, equips me with valuable insights and facilitates well-informed trading decisions.
As with any technical analysis tool, it is essential for me to backtest the RSI-CCI Fusion indicator to evaluate its performance across different market conditions and timeframes. Additionally, applying proper risk management strategies is crucial to ensure consistent and disciplined trading practices.
Ultimate Balance StrategyThe Ultimate Balance Oscillator Strategy harnesses the power of the Ultimate Balance Oscillator to deliver a comprehensive and disciplined approach to trading. By combining the insights of the Rate of Change (ROC), Relative Strength Index (RSI), Commodity Channel Index (CCI), Williams Percent Range, and Average Directional Index (ADX) from TradingView, this strategy offers traders a systematic way to navigate the markets with precision.
The core principle of this strategy lies in its ability to identify optimal entry and exit points based on the movement of the Ultimate Balance Oscillator. When the oscillator line crosses below the 0.75 level, a buy signal is generated, indicating a potential opportunity for a bullish trend reversal. Conversely, when the oscillator line crosses above the 0.25 level, it triggers an exit signal, suggesting a possible end to a bullish trend.
Key Features:
1. Objective Market Analysis: The Ultimate Balance Oscillator Strategy provides a disciplined and objective approach to market analysis. By relying on the quantified insights of multiple indicators, it helps traders cut through market noise and focus on key signals, improving decision-making and reducing emotional biases.
2. Enhanced Timing and Precision: This strategy's entry and exit signals are based on the specific thresholds of the Ultimate Balance Oscillator. By waiting for confirmation through the crossing of these levels, traders can potentially enter trades at opportune moments and exit with greater precision, maximizing profit potential and minimizing risk exposure.
3. Customizability and Adaptability: The strategy offers flexibility, allowing traders to customize the parameters to fit their preferred trading style and timeframes. Whether you're a short-term trader or a long-term investor, the Ultimate Balance Oscillator Strategy can be adjusted to suit your specific needs, making it adaptable to various market conditions.
4. Real-time Alerts: Stay informed and never miss a potential trade opportunity with the strategy's built-in alert system. Set personalized alerts for buy and exit signals to receive timely notifications, ensuring you're always aware of the latest developments in the market.
5. Backtesting and Optimization: Before applying the strategy to live trading, it's recommended to conduct thorough backtesting and optimization. By testing the strategy's performance over historical data and fine-tuning the parameters, you can gain insights into its strengths and weaknesses, enabling you to make informed adjustments and increase its effectiveness.
Trading involves risk. Use the Ultimate Balance Oscillator Strategy at your own discretion. Past performance is not indicative of future results.
