DUAL RSI MOHIT SHARMAWe are seeking a highly skilled and motivated DUAL RSI Analyst to join our dynamic team. As a DUAL RSI Analyst, you will be responsible for implementing and optimizing Relative Strength Index (RSI) strategies on a dual timeframe basis, combining both short-term and long-term perspectives to identify potential market trends and signals accurately. Your expertise in technical analysis, data analysis, and programming will be instrumental in generating actionable insights and driving profitable trading decisions. This position offers an exciting opportunity to work in the fast-paced world of financial markets and contribute to the success of our trading operations.
Responsibilities:
Strategy Development: Develop and implement innovative DUAL RSI trading strategies using historical data and backtesting methodologies to ensure robustness and profitability.
Market Analysis: Conduct in-depth analysis of financial markets, interpreting price patterns, momentum, and other technical indicators to identify potential trading opportunities.
Dual Timeframe Approach: Analyze markets using both short-term and long-term RSI indicators, integrating signals to generate comprehensive trading strategies.
Data Analysis: Collect, clean, and process market data from various sources, ensuring accuracy and completeness for thorough analysis.
Performance Monitoring: Continuously monitor and evaluate the performance of DUAL RSI strategies, making necessary adjustments to enhance their effectiveness.
Risk Management: Implement risk management protocols to control exposure and minimize potential losses in volatile market conditions.
Collaborative Approach: Work closely with the trading team, sharing insights and collaborating on the implementation of trading strategies.
Automation: Utilize programming languages (e.g., Python, R) to automate data analysis, strategy testing, and trade execution processes.
Stay Informed: Stay up-to-date with the latest developments in financial markets, trading technologies, and technical analysis tools.
Documentation: Maintain detailed documentation of trading strategies, backtesting results, and research findings.
Compliance: Ensure adherence to all relevant regulatory requirements and company policies.
Qualifications:
Education: Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a related field.
Experience: Proven experience in developing and implementing successful trading strategies using RSI indicators or similar technical analysis tools.
Analytical Skills: Strong analytical skills with the ability to process complex data sets and draw meaningful conclusions.
Programming Proficiency: Proficiency in programming languages such as Python, R, or MATLAB for data analysis and automation.
Financial Markets Knowledge: In-depth understanding of financial markets, trading principles, and risk management strategies.
Adaptability: Ability to adapt to changing market conditions and refine strategies accordingly.
Problem-Solving: A creative problem solver with a keen eye for detail.
Team Player: Strong team player with excellent communication and interpersonal skills.
Results-Driven: A self-motivated individual with a focus on achieving results.
Time Management: Effective time management skills to handle multiple tasks and meet deadlines.
Join our team and take your DUAL RSI expertise to new heights while contributing to our company's growth and success in the financial markets.
M-oscillator
YujiYokooFXYujiYokooFX Oscillator
Class : oscillator
Purpose : reversal trading
Period : any
Idea of the Indicator
Technical analysis often uses indicators to predict price behaviour, with trend indicators being based on price trends and oscillators on price reversals. Two of the most popular oscillators are known as “Momentum” and “Relative Strength Index” (“RSI”) respectively. Have you ever seen their formulas? Take your time and you will see none of them can provide any useful information about future prices. Both of them are simply random algorithms which can only generate random results.
Still academicians have developed a lot of really working methods: different types of time series models (AR – autoregressive models, ARMA - autoregressive–moving-average, ARIMA - autoregressive integrated moving average, VAR - vector autoregression, etc.) can be estimated to predict future prices
“YujiYokooFX Oscillator” is an academic style indicator based on ARIMA model.
It uses autoregressive integrated moving average technics to calculate the theoretical price of the asset and compare it with the actual price. This price difference is used to define whether current prices are overbought or oversold.
Structure of the Indicator
Indicator consists of two oscillatory lines: main (blue colored) and signal (red colored). Overbought and oversold zones are indicated with black dotted horizontal lines.
Rules of trading
Rules of trading are typical for oscillators.
• When the oscillatory line enters the overbought zone – long positions should be closed and after line leaves the overbought zone short position should be opened.
• When the oscillatory line enters the oversold zone – short positions should be closed and after line leaves the oversold zone long position should be opened.
Signal line is used to reduce the level of noise in the oscillatory line dynamics.
In order to ease the trading purposes “YujiYokooFX Oscillator” displays BUY/SELL signals right on the indicator chart.
Access to the indicator
Please address all questions about this indicator (including access to it) in private messages.
Crude Oil Top and Bottoms -by Trevor GeallDiscover the Crude Oil Tops and Bottoms Predictor Indicator: Your Key to Market Precision!
How to Use:
Ideal for the daily chart. Wait for the colored background to form.
Confirm signals by waiting for the first candle to close after the background disappears. That would be your sign to go long (if the line is crossing up) or short (if line is crossing dow).
Combine with other indicators for enhanced insights.
Unveil Market Secrets:
Identifies potential tops and bottoms in crude oil.
Empowers strategic trading decisions.
Advanced divergence detection and price channel analysis.
Note: While powerful, no indicator guarantees perfect predictions. Use it alongside comprehensive analysis and risk management. Elevate your crude oil trading now!
PS If I get enough positive feedback on my indicators ill release some of the better ones.
Stablecoin Market Cap RiskThe Stablecoins Market Cap Risk indicator serves as a valuable risk oscillator for Bitcoin on a macro scale . This metric is derived by aggregating the market capitalization of CRYPTOCAP:USDT (Tether) and CRYPTOCAP:USDC (USD Coin), subsequently dividing this combined value by CRYPTOCAP:TOTAL (total market capitalization). The resulting figure is further normalized through linear regression.
The regression in question:
drive.google.com
However, it is essential to acknowledge that this model's reliability may diminish over time, as it is based solely on data from the most recent 4.5 years of cryptocurrency market trends. Consequently, adaptations and enhancements to the model are anticipated in the future to ensure its continued relevance and accuracy.
Advanced Volatility-Adjusted Momentum IndexAdvanced Volatility-Adjusted Momentum Index (AVAMI)
The AVAMI is a powerful and versatile trading index which enhances the traditional momentum readings by introducing a volatility adjustment. This results in a more nuanced interpretation of market momentum, considering not only the rate of price changes but also the inherent volatility of the asset.
Settings and Parameters:
Momentum Length: This parameter sets the number of periods used to calculate the momentum, which is essentially the rate of change of the asset's price. A shorter length value means the momentum calculation will be more sensitive to recent price changes. Conversely, a longer length will yield a smoother and more stabilized momentum value, thereby reducing the impact of short-term price fluctuations.
Volatility Length: This parameter is responsible for determining the number of periods to be considered in the calculation of standard deviation of returns, which acts as the volatility measure. A shorter length will result in a more reactive volatility measure, while a longer length will produce a more stable, but less sensitive measure of volatility.
Smoothing Length: This parameter sets the number of periods used to apply a moving average smoothing to the AVAMI and its signal line. The purpose of this is to minimize the impact of volatile periods and to make the indicator's lines smoother and easier to interpret.
Lookback Period for Scaling: This is the number of periods used when rescaling the AVAMI values. The rescaling process is necessary to ensure that the AVAMI values remain within a consistent and interpretable range over time.
Overbought and Oversold Levels: These levels are thresholds at which the asset is considered overbought (potentially overvalued) or oversold (potentially undervalued), respectively. For instance, if the AVAMI exceeds the overbought level, traders may consider it as a possible selling opportunity, anticipating a price correction. Conversely, if the AVAMI falls below the oversold level, it could be seen as a buying opportunity, with the expectation of a price bounce.
Mid Level: This level represents the middle ground between the overbought and oversold levels. Crossing the mid-level line from below can be perceived as an increasing bullish momentum, and vice versa.
Show Divergences and Hidden Divergences: These checkboxes give traders the option to display regular and hidden divergences between the AVAMI and the asset's price. Divergences are crucial market structures that often signal potential price reversals.
Index Logic:
The AVAMI index begins with the calculation of a simple rate of change momentum indicator. This raw momentum is then adjusted by the standard deviation of log returns, which acts as a measure of market volatility. This adjustment process ensures that the resulting momentum index encapsulates not only the speed of price changes but also the market's volatility context.
The raw AVAMI is then smoothed using a moving average, and a signal line is generated as an exponential moving average (EMA) of this smoothed AVAMI. This signal line serves as a trigger for potential trading signals when crossed by the AVAMI.
The script also includes an algorithm to identify 'fractals', which are distinct price patterns that often act as potential market reversal points. These fractals are utilized to spot both regular and hidden divergences between the asset's price and the AVAMI.
Application and Strategy Concepts:
The AVAMI is a versatile tool that can be integrated into various trading strategies. Traders can utilize the overbought and oversold levels to identify potential reversal points. The AVAMI crossing the mid-level line can signify a change in market momentum. Additionally, the identification of regular and hidden divergences can serve as potential trading signals:
Regular Divergence: This happens when the asset's price records a new high/low, but the AVAMI fails to follow suit, suggesting a possible trend reversal. For instance, if the asset's price forms a higher high but the AVAMI forms a lower high, it's a regular bearish divergence, indicating potential price downturn.
Hidden Divergence: This is observed when the price forms a lower high/higher low, but the AVAMI forms a higher high/lower low, suggesting the continuation of the prevailing trend. For example, if the price forms a lower low during a downtrend, but the AVAMI forms a higher low, it's a hidden bullish divergence, signaling the potential continuation of the downtrend.
As with any trading tool, the AVAMI should not be used in isolation but in conjunction with other technical analysis tools and within the context of a well-defined trading plan.
Qualitative Smoothed Strength Index***RSI CHART BELOW IS FOR COMPARSION TO SHOW HOE THEY MAKE SIMILIAR PATTERNS*** IT IS NOT PART OF THE INDICATOR***
The Qualitative Smoothed Strength Index (QSSI) is a simplified momentum oscillator whose values will oscillate between 0 and 1 . By converting price differences into binary values and smoothing them with a moving average, it identifies qualitative strength of price movements. This simplification allows traders to easily interpret trends and reversals. The QSSI offers advantages such as noise reduction, clear trend identification, and early signal detection, resulting in less lag compared to traditional oscillators. Traders can customize the indicator based on their preferences and use it across various markets.
QSSI Indicator uses the input function is used to define the input parameters of the indicator. In this case, there are two inputs:
length: The number of periods used for calculating the differences (a, b, c) and their assigned values. Default value is 5.
MAL: The length of the moving average used for smoothing the assigned values. Default value is 14.
The next few lines calculate 'a', 'b', and 'c', which represent the differences between the high, low, and close prices, respectively, and their corresponding previous simple moving averages (SMAs) of specified length. These differences are used to identify price movements.
The code assigns binary values (0 or 1) to a_assigned, b_assigned, and c_assigned, depending on whether the corresponding differences (a, b, c) are greater than 0. This step converts the differences into a binary representation, indicating upward or downward price movements.
Average_assigned calculates the average of the assigned binary values of a, b, and c. This average value represents the overall strength of the price movement.ma_assigned calculates the 14-day moving average of average_assigned, which smoothens the indicator and helps traders identify trends more easily.
The code plots the 14-day moving average (ma_assigned) on the chart as a blue line. It also plots the individual assigned values of a, b, and c as dots on the chart. a_assigned is shown in green, b_assigned in red, and c_assigned in black. These dots indicate the presence of upward or downward movements in the respective price components. By visualizing these dots on the chart, the trader can quickly identify the presence and direction of price movements for each of the price components. This information can be valuable for understanding how the different price elements (high, low, and close) are contributing to the overall trend and strength of the market. Traders can use this data to make more informed decisions, such as confirming the presence of trends, identifying potential reversals, or gauging the overall market sentiment based on the distribution of upward and downward movements across the price components.
Finally, the code draws horizontal dotted lines at levels 0.70 (0.8)and 0.30 (0.2). These levels are typically used to identify overbought (above 0.70 or 0.8) and oversold (below 0.30 or 0.2) conditions in the market.
The Qualitative Smoothed Strength Index (QSSI) provides traders with information about the strength and direction of price movements. By using assigned binary values, the indicator simplifies the interpretation of price data, making it easier to identify trends and potential reversals.
Trend Correlation Oscillator [SS]Hello,
Publishing this simple indicator.
What is it?
The Trend Correlation Oscillator takes the concept of my autocorrelation oscillator but applies it simply to time instead of autocorrelation.
It performs a correlation assessment to time. The theory behind it is the stronger the correlation, the more "exhausted" the trend and the more likely the trend will reverse. It is kind of building off of random walk theory in which the market should be random and efficient.
Does it work?
If you follow me on my indicator side, you will know that my indicators are all based on my own research and findings and stuff that I personally find that works. All of this comes from years of losing money trying to use conventional systems and finally developing my own stuff that I find works well. This is such an invention. It does work extremely well but its best applied for day traders. If you want to use this as a swing trader, play around with the lookback length. I don't have general recommendations to swing traders wanting to use this because this isn't an indicator I personally would use for swing trading (I would use the autocorrelation oscillator for that).
How to use it:
The default setting is to a 14 candle lookback. This works the best. It also should really be used on the 5 minute chart and not the 1 minute chart, as from my experience this works much better.
When a trend is approaching "exhaustion" to the upside, the indicator will turn red to let you know we are approaching a trend exhaustion. Once the exhaustion is at its peak and beginning to reverse, the indicator will place a cross symbol on where your entry should be. See the image below for an example:
It also works well if you combine it with my PTCR Correlation Indicator:
Closing thoughts
That is basically the indicator. Its one of my more simple ones, but many times simple is better and most effective!
Hopefully you find it helpful.
As always let me know your questions, comments and feedback/recommendations for improvements below.
Please know I do read and make note of all recommendations for indicators and improvements, however as it is just me managing them, it takes time for implementation and review :-).
Safe trades!
P/VF BollThis code draws a custom indicator named "P/VF Boll" on the price chart with the following visual elements:
1. **Basis Line (Blue)**: This line represents the moving average value (ma_value) calculated based on the user-selected moving average type (SMA, EMA, or WMA) and length.
2. **Upper Bands (Green)**: The upper bands are calculated by adding a certain multiple of the standard deviation (dev1 to dev12) to the basis line. These bands represent a certain level of price volatility above the moving average.
3. **Lower Bands (Red)**: The lower bands are calculated by subtracting a certain multiple of the standard deviation (dev1 to dev12) from the basis line. These bands represent a certain level of price volatility below the moving average.
4. **Histogram (White and Gray)**: A histogram is drawn only when the average_price_change values are outside the 3rd standard deviation (dev3) and beyond. The histogram color alternates between white and gray, indicating higher price volatility.
The user can customize the following parameters:
- Average Length: The length of the moving average.
- Moving Average Type: The type of moving average to be used (SMA, EMA, or WMA).
- Timeframe: The timeframe used to calculate volume data.
- Deviation 1 to Deviation 12: Multipliers for calculating the upper and lower bands.
The purpose of this indicator is to visually represent the relationship between price volatility, volume, and the moving average, allowing traders to assess potential price breakouts or reversals when the price moves beyond certain levels of standard deviations from the moving average.
RSI-Volume Oscillator Quick Scalping By Akhilesh PatelTitle: RSI-Volume Oscillator Quick Scalping Indicator
Description:
The "RSI-Volume Oscillator Quick Scalping" is a powerful and versatile custom indicator designed for traders who engage in scalping strategies. This indicator combines the Relative Strength Index (RSI) with a Volume Oscillator to provide valuable insights into momentum and volume dynamics in the market. Traders can also select their preferred moving average types (SMA, EMA, or HMA) to further customize the indicator's behavior.
Key Features:
RSI and Volume Oscillator Fusion: The indicator blends the RSI and a custom Volume Oscillator to offer a comprehensive view of both price momentum and volume trends. This integration provides valuable signals for quick scalping opportunities.
Customizable Moving Averages: Traders can choose from three popular moving average types (SMA, EMA, or HMA) for further customization. This flexibility allows users to align the indicator with their preferred trading strategies.
Clear Visualization: The Combined RSI-Volume Oscillator is plotted as a solid blue line, while the three selected moving averages are represented by orange, purple, and green lines, respectively. The zero line, overbought, and oversold levels for RSI are also indicated for easy reference.
Quick Scalping Signals: The indicator helps traders spot potential buy and sell signals efficiently, making it ideal for quick scalping strategies in rapidly moving markets.
Usage Instructions:
Customize the indicator by selecting your preferred RSI length, Volume Oscillator length, and moving average type (SMA, EMA, or HMA).
Observe the Combined RSI-Volume Oscillator and moving averages for potential entry and exit points.
Look for crossovers between the Combined RSI-Volume Oscillator and the selected moving averages for buy and sell signals.
The overbought (70) and oversold (30) levels for RSI can be used to identify potential reversal points.
Important Note:
Test the indicator on historical data and demo accounts before using it in live trading to ensure it aligns with your trading strategy.
Understand that no indicator guarantees profits, and trading involves risk. Always use proper risk management and discipline when executing trades.
Overall, the "RSI-Volume Oscillator Quick Scalping" indicator is a valuable addition to any scalper's toolkit, providing comprehensive insights into momentum and volume dynamics to enhance trading decisions. Happy scalping!
TradeMaster OscillatorTrading effectively requires a range of techniques, experience, and expertise. From technical analysis to market fundamentals, traders must navigate multiple factors, including market sentiment and economic conditions. However, traders often find themselves overwhelmed by market noise, making it challenging to filter out distractions and make informed decisions. To address this, we present a powerful indicator package designed to assist traders on their journey to success.
The TradeMaster indicator package encompasses a variety of trading strategies, including the SMC (Supply, Demand, and Price Action) approach, along with many other techniques. By leveraging concepts such as price action trading, support and resistance analysis, supply and demand dynamics, these indicators empower traders to analyze entry and exit positions with precision. Unlike other forms of technical analysis that produce values or plots based on historical price data, Price Action brings you the facts straight from the source - the current price movements.
The indicator package consists of three powerful indicators that can be used individually or together to maximize trading effectiveness.
⭐ About the Oscillator Indicator
The Oscillator is an innovative and robust tool that encapsulates the principles of multiple technical analysis methodologies to enrich your trading strategy. By leveraging the combination of our six unique indicators, it can provide a comprehensive and multi-dimensional view of market dynamics.
👉 Usage - the general approach:
Utilize the Oscillator Indicator as a confirmational tool. The Oscillator acts as a tool to validate ideas and strategies. By analyzing the oscillator's readings, you gain additional insights into market momentum, overbought or oversold conditions, and potential trend reversals. This confirmation step helps you avoid false signals and make more informed trading choices.
👉 We are focusing on the default setting of the TradeMaster Oscillator, which incorporates the Global RSI* as main oscillator and Local RSI* as confirmational oscillator. This base configuration can be custom-tailored to your preference, leveraging the additional combination of our six unique indicators.
Understand the difference between Global and Local RSI: The Global RSI represents broad relative strength, while the Local RSI describes the relative strength within wider movements. It's like having both a macro and micro view of relative strength.
Identify extreme values in Local RSI: Look for extremes in the Local RSI (overbought/oversold in Stochastic RSI). These often indicate a turning point in the RSI, which naturally reflects in the price. The Local RSI extremes are shown as dots outside the Global RSI bands in a "heatmap" style.
Smooth your RSI: You have the option to smooth your RSI with your preferred smoothing method (SMA , SMMA, EMA, DEMA, TEMA, LSMA, HMA, VWMA, WMA) and length.
Please bear in mind that high smoothing values can make the standard RSI extremes (>70 or <30) suboptimal or even useless. To address this potential problem, Adaptive levels were introduced.
Adaptive key levels for more relevant extremes: enabling Adaptive levels recalibrates extremes based on the historical RSI turning points (typical median turning points), providing much more relevant reference points for overbought/oversold states in both Global and Local RSI. This function can be used without smoothing but rarely provides significant difference unless you experiment with the length of RSI calculation.
Incorporate multiple indicators: besides Global and Local RSI, you can display six different proprietary indicators in the main oscillator theme. By choosing from these, you can apply the confirming condition as well. These include Sentiment (Fear and greed), Momentum, Trend Strength, Volume, and Volatility. These indicators use our TRMA** method to provide a comprehensive overview of market dynamics.
Choose your Global RSI display style: the Global RSI can be represented in candle, bar, line or ribbon form. Candles and bars can be useful for detecting rejections of relative strength (wicks), similar to OHLC data. Sometimes there are "hidden rejections" visible in relative strength but not in OHLC data, which naturally presents an advantage.
Customize the colors: All colors can be adjusted from the input menu to suit your preferences. This personalization allows you to make the Oscillator clear and intuitive for your individual trading style as possible.
Monitor Real-time Indicator values: In the bottom right corner, you can view real-time color-coded indicator values. This feature gives you the ability to quickly assess the market's current conditions without needing to navigate away from the chart.
Use multiple indicators in conjunction: while each indicator within the Oscillator provides valuable insights, their true power lies in their combination. Identify alignment among indicators to validate potential trades. For instance, when a bullish sentiment indication aligns with a low volatility reading, it may suggest a favorable buying opportunity.
Consider the market context: while the Oscillator provides a robust set of tools, always consider other aspects of the market environment. Use the oscillator in conjunction with other technical, fundamental, or sentiment analysis methods to develop a comprehensive trading strategy.
🛑 Remember, the oscillator should be used as a confirmational tool in your overall trading strategy. Make reasonable use of all its features, and always keep risk management principles in mind.
* By default, these are fine-tuned RSI and Stochastic RSI indicators.
** TRMA (Trend Rainbow Moving Averages) is a complex but customizable moving average matrix calculation that is designed to accurately measure market trend direction, strength and shifting.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
AlexD Intraday market footprintThe indicator shows probability of a moving average non reversal at certain moment of day.
IMF_Predict line shows the probability of a reversal for the specified period.
moving average - period/2 shifted sma of typical price ( (close+high+low)/3 ).
Parameters:
Number of days - previous days to calculate the probability
SMA filter period - chart smoothing period
IMF smooth period - additional indicator smoothing after calculation
IMF predict period - period for calculating the probability of a reversal in the next N bars
Skip N hours in days(optimisation) - I recommend a half of the normal session time. Low values - long calculation time, High values - skipping days.
Anit Momentum IndicatorAnit Momentum Indicator: A Powerful Trend Continuation Tool for Long-Only Strategies
The "Anit Momentum Indicator" (AMI) is a powerful technical analysis tool designed to assist traders in identifying potential trend continuation opportunities in the financial markets. Unlike traditional trend reversal indicators, AMI is specifically crafted for long-only strategies, making it an ideal tool for traders seeking to capture sustained uptrends.
Concepts and Functionality:
1. Momentum Calculation:
The Anit Momentum Indicator begins by calculating the momentum of the closing price over a specified period. Momentum represents the rate of price change, offering clues about the strength and direction of price movements during the chosen duration.
2. RSI for Trend Continuation:
The script then applies the RSI to the previously computed momentum values. The RSI is a well-known oscillator used to measure the speed and magnitude of price changes. By utilizing the RSI on momentum data, the Anit Momentum Indicator gains a distinct advantage in gauging the strength of price momentum, leading to more accurate trend evaluations.
3. Rescaling for Better Visualization:
To enhance visual clarity and maintain consistent representation, the RSI on Momentum is rescaled to range from 0 to 100. This normalization ensures that the indicator's values remain within a fixed range, making it easier for traders to identify crucial overbought and oversold regions.
How to Use the Indicator:
Long-Only Strategy:
The AMI is most effective in long-only strategies. Traders can deploy the indicator to identify promising opportunities to go long on a stock or asset. A long position is established when the AMI crosses above 50, signaling a robust upward momentum.
Trend Continuation Confirmation:
The AMI's ability to capture trend continuation opportunities allows traders to stay invested in an uptrend for an extended period. As long as the AMI remains above 50, the uptrend is considered intact, and traders may continue to hold the position.
Higher Timeframe Advantage:
The AMI's effectiveness is further enhanced on higher timeframes. Longer timeframes provide a more reliable and sustained view of the underlying trend, giving traders greater confidence in their long-only strategies.
Conclusion:
The Anit Momentum Indicator is a valuable tool for traders pursuing trend continuation strategies, specifically long-only approaches. By leveraging the concept of momentum and RSI, the AMI helps traders identify and participate in sustained uptrends. With its focus on trend continuation rather than reversals, the AMI can be a key component in building successful long-only trading strategies, especially on higher timeframes. Traders can use this indicator to stay invested in robust uptrends, maximizing their profit potential while minimizing exposure to counter-trend moves by staying long till AMI value is greater than 50,it is better to stay away or exit from the asst class when AMI value is less than 50.
Normalized Close IndicatorThe central aspect of this indicator is the computation of a normalized close price. The normalized close price is computed by first determining the highest and lowest closing prices over a specified historical period. This highest and lowest value form the boundaries of the historical price range.
Once these bounds are established, the current closing price's position within this range is calculated. This is done by subtracting the lowest close from the current close and dividing the result by the range (the highest close minus the lowest close). This yields a value between 0 and 1, which is then multiplied by 100 to provide a percentage. This is not calculating percentile rank, but often it overlaps.
This percentage represents where the current close price stands relative to the historical price range. If the value is near 0, it indicates that the current close price is near the historical low, potentially signaling an oversold condition. Conversely, if the value is near 100, it suggests that the current close price is near the historical high, possibly indicating an overbought condition.
By using this approach, the indicator helps identify points at which the price may be considered relatively high (overbought) or low (oversold) compared to its recent historical range.
Additionally alerts are to switch from long to short and vice versa, for the most part, my strategy that incorporates this indicator is either long or short, sometimes though, the opposite bounds (high level for longs and low level for shorts) are not reached, then stop loss and take profit levels are needed.
I discovered it works fine on markets that spend most of time in a range like BTC/USD, adjustment needs to be done in user inputs and in Pine Script (length) for different exchanges, in current configuration works fine for me on Deribit Perpetuals (BTCUSD.P and ETHUSD.P), on 5 minute and 3 minute timeframes with a stop loss of 1.5% and take profit of 4.5% for BTCUSD.P and 1.7% and 5.1% for ETHUSD.P.
Advanced Cumulative TrendThis is advanced version of Cumulative trend Indicator. The "Advanced Cumulative Trend" indicator calculates the strength and direction of a market trend by incorporating volume and volatility adjusted price changes. It uses various time frames to compute intermediate metrics such as price change, intraday volatility, and volume adjustments. Traders can customize the indicator by selecting which calculations to include in the average, allowing for personalized trend analysis. The indicator then derives the cumulative sum of the average volume and volatility adjusted price change to evaluate the overall trend direction. Additionally, users have the flexibility to toggle between two visualization options: the ROC histogram and the average cumulative sum for trend analysis. They can choose to display either the ROC histogram or the average cumulative sum (trend) plot separately, based on their preference or focus. providing valuable insights into trend momentum and potential reversals. (DO NOT HAVE BOTH ON SAME PLOT IT MAKES VISULIZATION HARD)
The primary calculation remains the same but it calculates the volume and volatility adjusted price on three different time frames and Users can customize the indicator by selecting which calculations (time frame) to include in the average," it means that the code allows traders or analysts to have control over which specific calculations are used to compute the average volume and volatility adjusted price change. The indicator offers flexibility in choosing the underlying data points and time frames that contribute to the final trend analysis.
In the code, this customization is achieved through the use of three input options: useCalculation1, useCalculation2, and useCalculation3. Each of these options corresponds to a specific set of volume and volatility adjusted price change calculations with different time frames.
For example, if a user wants to include calculations based on a shorter time frame, they can enable useCalculation1. If they prefer calculations based on a longer time frame, they can enable useCalculation3. If they don't want to include a particular calculation in the average, they can simply disable the corresponding option.
By selecting or deselecting these options, users can tailor the indicator to their trading preferences and strategies. This flexibility allows them to experiment with different combinations of calculations to gain deeper insights into the trend's behavior across various time frames. Ultimately, the ability to customize the indicator empowers users to adapt it to different market conditions and improve the accuracy of their trend analysis.
Calculation of Volume and Volatility Adjusted Price Change:
The term "previous" refers to the average of the previous data points over a defined length. Instead of considering the exact previous data point, the code calculates the average of a specific number of preceding data points. It enables the consideration of multiple preceding values, resulting in a smoother representation of trends and a more robust analysis of the data
The indicator starts by calculating the price change as a percentage relative to the previous opening price.
It determines the standard deviation of the close prices, providing a measure of price volatility.
The coefficient of variation is calculated by comparing the standard deviation to the previous close price.
Intraday volatility is calculated as the difference between the high and low prices divided by the close price.
Various ratios are derived by comparing the current volume to the previous volume and relating the intraday volatility to the coefficient of variation.
Cumulative Sum:
The Volume and Volatility Adjusted Price Change values are cumulatively summed to form the cumulative sum.
This cumulative sum represents the overall trend of the price changes, incorporating the impact of volume and volatility.
Average Cumulative Sum:
The average cumulative sum is calculated by applying a simple moving average to the cumulative sum over a specified window size.
This moving average helps smooth out the cumulative trend and highlights the general direction of the price changes.
Average Cumulative Sum Change:
The change in the average cumulative sum is determined by subtracting the previous average cumulative sum value from the current value.
This calculation provides insights into the rate of change in the cumulative trend.
Color Determination:
Thresholds are introduced to define levels at which the trend is considered to change.
The average cumulative sum change is compared against these thresholds.
If the average cumulative sum change exceeds the upper threshold, the color is set to green, indicating a potential upward trend.
If the average cumulative sum change falls below the lower threshold, the color is set to red, indicating a potential downward trend.
If the average cumulative sum change is within the threshold range, the color is set to a yellowish tone, indicating a neutral or transitional phase.
Plotting:
The average cumulative sum is plotted as a line on the chart.
The color of the line is determined based on the calculated color value, reflecting the perceived trend direction.
In summary, the Cumulative Trend indicator integrates volume, volatility, and price changes to provide a cumulative perspective on the trend. It tracks the cumulative price changes, calculates the average trend, and visually represents potential trend shifts through color changes. Traders and analysts can utilize this indicator to identify and monitor changes in the underlying trend, aiding in decision-making and market analysis.
Price Acceleration Indicator (PAI)I have designed a "Price Acceleration" Indicator (PAI). It tracks the second derivative in price movements. This is different from ROC as that one measures Price Velocity rather than Acceleration. This Indicator should give you an idea of when the steam has come out of a move, or when one is getting started. For example, if RSI is reaching overbought, and PAI is Negative, that means the move is slowing down and likely to give in to the opposite direction soon.
CoinFxPro Range indicator V 1.0This indicator has a structure that combines daily and weekly pivot levels, moving averages, and strength index-linked oscillators. The purpose of the indicator is designed to analyze price movements and identify potential trend reversals. Daily pivot levels are helpful in identifying critical support and resistance zones, while moving averages and oscillators indicate overbought or oversold situations in the price.
It is very simple to use and simple in appearance.
Triangular Signals appearing on the chart screen come when the price touches the daily or weekly support and resistance levels.
If you want the signals to be received less or more healthy, I added the filtering feature. In this way, you can filter the incoming signals through the volume or volatility filter, so that less signals are received.
On the other hand, the 4 timeframe rsi values of the price for daily use of the indicator are also given in the table.
You can change the RSI timeframes as you wish.
In this way, it is seen more clearly whether the signal is healthy and provides convenience while trading.
Evaluation of incoming signals;
First of all, when the signal occurs, pay attention to whether the RSI values that occur in the timeframe you trade and in other timeframes are overbought (red) or oversold (green).
When the signal comes, I buy or sell, especially if the RSI values in the 5 minutes, 15 minutes and 1 hour time periods are overbought or oversold.
If you wish, you can try a different strategy for yourself.
After the healthiest of the signals on the chart comes, the RSI values are also at overbought or oversold levels in 5-15 minutes and 1 hour timeframes and if there is a Trendline line above or below the price, it is out of that region.
A healthy buying or selling transaction can be made.
It should be noted that since risk = return, high risk means high return. High risk must be taken for high returns. Therefore, I recommend that you do not exceed 10% of your capital as margin when trading with leverage.
When trading, I always recommend trading with additional confirmation from a different indicator.
I also added a filtering feature to the indicator to block market structure related variables. Those who want to use can also use filtering.
I have added the automatic trendline for ease of trading. You can increase or decrease the number of trend lines as you wish.
I just published the indicator for daily use.
Buyers & Sellers / RangeBuyers & Sellers / Range
Volatility oscillator that measures the relationship of Buying & Selling Pressure to True Range.
In other words, how much % Buyers and Sellers separately occupy the Bar
BSP is a part of Bar Range. Entire bar metrics will always have bigger value than its composite elements (body and wicks).
Since there will be NO chance of BP or SP being more than ATR, their ratio would serve crucial Volatility details.
Hence, we can relate each of them to the overall range.
As a result we have simultaneous measurements of proportions buyers and sellers to the bar.
Default mode shows BP/ATR and SP/ATR mirrored. When one rises, the other falls to compensate.
Buying Pressure / True Range ⬆️🟢 ⬇️🔵
Selling Pressure / True Range ⬆️🔴 ⬇️🟠
They are being averaged in 2 different ways:
Pre-average first, then relate as ratio
Related first, then Averaged
Enable "Preaveraged" to use already averaged BSP and Ranges in ratio instead of averaging the ratio of BSP to individual bar. For example, we're looking BP/ATR, in calculation of buyers / Range it will use "MA(Buying Pressure) / MA(True Range)" instead of "MA(Buying Pressure / True Range)".
Due such calculation, it is going to be more lagging than in off mode. Nevertheless, it reduces noise from the impact of individual bar change.
Second way of noise reduction is enabling "Body / Range"
BSP Body / Range where Bullish & Bearish Body = Buying & Selling Pressure - Relevant Wick
Buying Body = Buying Pressure - Lower Wick
Selling Body = Selling Pressure - Upper Wick
And only then it is divided to ATR.
Note that Balance line differs because body is less than it used to be with wicks. So change in wicks won't play any role in computing the ratio anymore. Thus, signals of their crossings will be more reliable than in default mode.
Pseudo-Entropy Oscillator with Standard Deviation (modified)Intuition: The Pseudo-Entropy Oscillator with Standard Deviation (PEO_SD) was created to provide traders with a way to analyze market momentum and potential reversals. It combines the concepts of entropy, standard deviation, and moving averages to offer insights into market behavior.The oscillator's core idea is to measure the pseudo-entropy of the market using standard deviation. Pseudo-entropy refers to the degree of disorder or randomness in the price data. By calculating the standard deviation of the closing prices over a specified period, the oscillator quantifies the market's volatility.To enhance the usefulness of the pseudo-entropy measurement, the oscillator incorporates moving averages. The entropy delta is calculated by applying momentum analysis to the pseudo-entropy values. This helps identify short-term changes in the entropy, indicating shifts in market sentiment or momentum.The oscillator further smoothes the pseudo-entropy values by calculating the simple moving average (SMA) over a specified length. This helps filter out noise and provides a clearer representation of the market's overall momentum.
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The "Pseudo-Entropy Oscillator with Standard Deviation" (PEO_SD) is a custom indicator designed to help traders analyze market momentum and potential reversal points. It can be applied to various markets like stocks, commodities, forex, or cryptocurrencies. By using this indicator, you can gain insights into the market's behavior and make more informed trading decisions.
The PEO_SD indicator plots three lines on your chart: the fast pseudo-entropy line, the medium pseudo-entropy line, and the slow pseudo-entropy line. Each line represents the combined pseudo-entropy values, which are calculated using standard deviation and moving averages.
The lines are color-coded for easy identification. The fast line is represented by blue, the medium line by yellow, and the slow line by red. Additionally, three horizontal reference lines are plotted: the mid line (at 50), the lower bound (at 20), and the upper bound (at 80).
To use this indicator effectively, you can observe the interactions of the lines with the reference lines. For example, when any of the lines cross above the mid line, it might indicate a bullish signal, suggesting an upward price movement. Conversely, a crossover below the mid line could be a bearish signal, indicating a potential downward price movement. If the lines reach the upper bound, it might suggest that the market is overbought, and a reversal could be imminent. Conversely, reaching the lower bound may indicate that the market is oversold, possibly leading to a price reversal.
By applying the PEO_SD indicator and studying the lines' movements, you can gain valuable insights into market momentum, identify potential reversal points, and make more informed trading decisions.
Normalized Advanced Decomposition OscillatorThe motivating intuition behind this:
The principles behind the decomposition of sound can be extrapolated to other types of data, such as stock price movements or time series data.
Sinusoidal (Sine) Components: These could correspond to long-term trends in the stock market, similar to how a sine wave has a consistent and predictable pattern. These might be driven by broader economic trends, market cycles, or long-term company performance.
Noise Components: This could represent the daily volatility and fluctuations in stock prices that seem to be random or caused by unpredictable events. Noise is usually considered to be statistical outliers or "random walk" components in the time series data.
Transient Components: These could correspond to sudden and significant changes in stock price, such as those caused by earnings announcements, geopolitical events, or changes in company leadership. They are typically short-lived but can have a large impact, similar to transients in sound.
How's it different?
Unlike your usual run-of-the-mill indicators, our Normalized Advanced Decomposition Oscillator (NADO) breaks down price movements into three parts: the Trend, the Noise, and the quick, notable price changes we call the Transient. Each of these gets its own line on the chart, giving you a comprehensive breakdown of what's going on in the market. Plus, they're all normalized so you can easily compare 'em.
How to use it?
It's pretty straightforward. The blue line shows the trend, the red line represents market noise or volatility, and the green line flags significant short-term price changes. If the green line pops above the blue, you might be seeing a price increase soon. If it dips below the blue, get ready for a potential price drop. See the red line going crazy? That's market noise increasing, meaning things might get a bit unpredictable.
Which markets is it meant for?
NADO is a versatile beast. It'll work in markets that see a lot of price volatility. If you're finding it hard to pin down the trend because of all the noise, NADO is your best friend.
Best conditions to use it?
This tool shines in uncertain markets. If the market's all over the place and you can't make heads or tails of the trend, whip out the NADO. It'll separate the trend from the noise, making it easier for you to see what's going on.
PC*VC Moving Average oldThe code calculates the "Price Coefficient" (PC) and "Volume Coefficient" (VC) for three different lengths. PC is calculated by taking the difference between the current price (close or TP) and the simple moving average of the price, divided by the mean absolute deviation around the (MAD) of the price. VC is calculated by dividing the current volume by the simple moving average of the volume for each length.
The code calculates the "Intraday Volatility" (IDV), which is the difference between the high and low prices divided by the price.
The code calculates the average IDV for each of the three lengths.
The code calculates the "IDV Ratio" by dividing IDV by the average IDV for each length.
The code calculates the "PC*VC/IDV Ratio" for each length by multiplying PC, VC, and IDV Ratio.
The code calculates the average PC*VC/IDV Ratio by averaging the three calculated ratios.
The code calculates the moving average of the average PC*VC/IDV Ratio using the user-defined moving average window size.
The code performs calculations to determine the average and standard deviation of PC*VC/IDV Ratio for positive and negative values separately, using the user-defined look-back length. It stores the positive and negative values in separate variables.
The code plots the PC*VC/IDV Ratio as a line on the chart. The color of the line is determined based on its value. If the value is greater than 2, it is plotted in green. If the value is between 0 and 2, it is plotted in a yellowish color. If the value is negative, it is plotted in red.
The code plots lines representing the mean plus 1.5 standard deviations (SD) for positive values, the mean plus 3 SD for positive values, the mean minus 1.5 SD for negative values, and the mean minus 3 SD for negative values. These lines help identify potential overbought or oversold conditions.
The code plots the overall average of the PC*VC/IDV Ratio as a line on the chart.
Overall, this code calculates the PC*VC/IDV Ratio indicator, which combines price, volume, and intraday volatility information. The indicator's values are plotted on the chart, along with reference lines indicating potential overbought or oversold conditions.
Top - Bottom Using MAThis script is used decide weather stock is overbought or oversold in given length/days from the settings.
using close difference from ohlc4 moving average ratio.
Settings Available
1) moving average length
2) Highest / Lowest ratio length
3) Difference Between Highest and Lowest Line
this script plot/display 4 lines
1) highest difference from moving averages in provided length.
2) lowest difference from moving averages in provided length.
3) ratio of moving average and ohlc4
4) linear regression moving averages of ratio of moving average and ohlc4
How to use this script
1) when ratio line is touch 2 days to highest ratio line means we are consider stock is in overbought levels or linear regression moving average above highest ratio line means overbought.
2) when ratio lines cross below its linear regression moving average then we consider final exit or book profit.
3) when linear regression moving average below lowest ratio line means stock is in oversold.
4) when linear regression moving average below lowest ratio line and linear regression line start rising after fall it means there is change in trend.
5) when linear regression moving average cross above lowest ratio line it means trend is changed and linear regression line turns green.
MACD Fake Filter [RH]Introducing a new indicator for the TradingView community based on the MACD indicator! This innovative tool goes beyond traditional MACD signals by analyzing positive and negative waves to determine the average height of the waves to filter false cross-over or cross-under signals during the sideways market.
There are two types of waves created by the MACD line, one is a positive wave above the "zero" line and another is a negative wave below "zero" line. Each wave has peaks. This indicator will find the average height of the positive waves' peaks and plot as a green line(by default). Vice-versa it will also find the average height of the negative waves' peaks and plot as a red line(by default).
Example :
This indicator will show labels when the MACD line crosses-under the MACD signal line above the average height of the positive waves.
Vice-versa, the indicator will show labels when the MACD line crosses-above the MACD signal line below the average height of the negative waves.
Example:
Alerts are also available for these types of cross-over and cross-under.
StDev RSI +Alright, let's dive into this script, which I like to call 'StDev RSI+'. It's a unique take on the classic Relative Strength Index (RSI), a popular tool among traders that helps identify potential overbought or oversold conditions in a stock. But what makes our StDev RSI+ special is how it normalizes price changes against the standard deviation, taking into account the volatility of the stock prices.
The main difference between the original script and this new 'StDev RSI+' script lies in the method of normalization used to calculate price changes. In the original script, the normalization was done using the average of current and previous closing prices. This approach is quite simple and direct, essentially comparing the day-to-day change relative to the average price.
However, the StDev RSI+ script takes a more sophisticated approach. It normalizes the price changes against the standard deviation of the closing prices over a defined period. This method takes into account the volatility of the stock price, providing a measure of how much the prices have been fluctuating during that period.
This means the StDev RSI+ script doesn't just look at the raw change in price, but rather it considers how significant that change is compared to the usual volatility of the stock. So, a big price change may not be considered as significant if the stock is typically very volatile. Conversely, a smaller price change could be seen as more meaningful if the stock is usually quite stable.
Another notable difference is the length of the period used for calculations. While the original script used a period of 14 units (days, weeks, etc.), the StDev RSI+ script uses a period of 153 units. This longer timeframe will smooth out the RSI line and make it less sensitive to individual price changes, but more reflective of longer-term trends.
In essence, while both scripts aim to provide useful trading signals through the RSI, they offer different perspectives. The original script provides a more straightforward, immediate view of price changes, while the StDev RSI+ script offers a volatility-adjusted, longer-term perspective.
ARSIXARSIX
I have written this indicator after two years of continuous experience in writing and backtesting for several different indicators, and I believe that this indicator with its high capabilities can show you the best point of entry into the market as well as exit from it. arsix should work with any time frame and any instrument used.
This indicator has many points to understand so that you can make the best possible use of it, in the following I will try to bring you some of the most important points:
First, we will have an introduction of the different parts of the indicator:
The above line is a relatively simple but very useful formula to determine the momentum of chart. To understand the exact formula, you can refer to the source of the program itself, and its two colors are used to determine the direction of movement.
At the bottom, we have three opposing elements.
The first is the RSI14 line with dark blue color, the second is the RMA or Relative Momentum Index(RMI20) line with the number 20 for Momentum , which will significantly help us understand the overall momentum of the chart, this part is also made in two colors to increase or It will show the decline of the overall momentum of the chart.
And finally, we have a bar chart that is again created in two colors, and this histogram also calculates the momentum chart with a different formula.
And now let's talk about how to interpret these tools and how to use them for Trading:
At first, you may have the question that all these different indicators are not excessive to determine the momentum chart and are all of them necessary? In response, I must say that yes, each of these parts has been selected and made with great care and with my previous experience, the full explanation of each of these parts is beyond the scope of this article, and I will try to explain it in short words. I will give you a general understanding of each one of them and the rest is up to you to find out their capabilities by working more with these tools.
The main thing is to know that none of these tools alone will bring you success and it is their teamwork together that will help you achieve success.
For the sake of simplicity, I will tell you when to open a buy position with this indicator And you can then use this definition of the main thread to interpret the rest of the capabilities of this indicator.
To open a buy position, first the upper indicator should turn light blue, at the same time, the RMI indicator should also turn light blue, and you should also see that this RMI indicator shows the momentum of the overall chart in order to increase. in this case you will be almost sure that the general trend of the chart is towards the rise of the price. In the next step, to determine the exact point of the Entry, you have to wait until the RSI indicator passes the number 50 in this state and at the same time, make sure that the histogram also turns green and shows the increasing direction of momentum in the market, when the RSI is in This state crossed the number 50, you can enter the buy position, it should be noted that due to a series of restrictions, I have moved the RSI indicator down by 50 numbers, so as a result, the number 50 for RSI here is equivalent to The same number zero.
This was an example of how to work with this indicator, I hope that it helped you to understand how to use this indicator. In the end, I would like to point out again that the main topic is understanding the group and mutual behavior of each of the indicators' tools together. For example, if the RSI indicator crosses the number 50 here, but the histogram does not grow or shows a small growth, this indicates that the movement will be low, or for another example, if the RSI indicator cross over From the RMI indicator, This means that the market is very high, and as a result, it is a great opportunity to hold a buy position. In the same way, other parts of this indicator can also be interpreted in opposition to each other.
I hope this indicator will help you in better trades. I look forward to your constructive comments. Thanks Hamid Moradi.
