Deepwave OscillatorParadox Deepwave: A Multi-Layered Volatility Analysis System
Paradox Deepwave is an advanced volatility analysis tool designed to give traders a comprehensive view of market conditions. Unlike traditional volatility indicators, Paradox Deepwave combines multiple facets of volatility analysis into a single, cohesive framework that provides traders with deeper insights into market dynamics.
The Core Concept: Volatility as a Multi-Dimensional Metric
At its core, Paradox Deepwave analyzes market volatility not from one perspective, but through multiple dimensions. It’s built to detect how price movement behaves over time, how it expands and contracts, and how volatility builds before major price moves occur. By measuring volatility from several angles, the tool generates a comprehensive view of market conditions that would be missed by relying on a single indicator.
1. Price Expansion and Contraction as a Volatility Gauge
Paradox Deepwave’s foundation is based on how the market naturally cycles between periods of price expansion (where price swings increase) and price contraction (where volatility diminishes). These cycles are a critical aspect of market behavior, as they often precede breakouts or reversals. Paradox Deepwave tracks these shifts in price movement, allowing traders to get early warnings of increased volatility or upcoming market calm.
This is not just another volatility measure like the ATR; Paradox Deepwave captures how these expansions and contractions evolve across different time periods, giving traders a real-time look at how volatility is building or decaying in the market.
2. Trend Sensitivity and Volatility Interaction
In addition to analyzing price behavior, Paradox Deepwave is built with a dynamic trend sensitivity model. It evaluates whether the market is trending or ranging, and how that interacts with volatility. When price volatility expands in a trending market, Paradox Deepwave adjusts its analysis to capture potential trend accelerations or exhaustion points.
By measuring the relationship between price movement and market volatility, Paradox Deepwave helps traders understand whether current volatility spikes are likely to result in a sustained trend or a quick reversion.
3. Integrated Volatility Scoring System
Paradox Deepwave integrates these layers of volatility into a volatility scoring system. This composite score is built by normalizing various volatility inputs into a single, easy-to-read oscillator. The score dynamically adjusts as volatility in the market shifts, providing a color-coded visual output that helps traders quickly interpret the current volatility level.
• Low Volatility (0-30): Represents stable market conditions, indicating a likely period of price consolidation.
• Moderate Volatility (30-70): Suggests active market conditions, which can present balanced opportunities for traders.
• High Volatility (70-100): Signals heightened market activity, often seen before major market moves or breakouts.
This scoring system isn’t a simple mashup; it’s a thoughtful combination of different volatility layers that are weighed and adjusted dynamically based on real-time market behavior.
Why Paradox Deepwave Stands Out
While many indicators focus on one type of volatility or one aspect of trend analysis, Paradox Deepwave is designed to provide a multi-dimensional perspective. By combining price expansion and contraction with dynamic trend sensitivity, this tool offers traders a nuanced, layered view of volatility that’s adaptable to changing market conditions.
How Paradox Deepwave’s Components Work Together
• Price Expansion and Contraction: These cycles form the basis for detecting changes in volatility levels, providing insight into market rhythm.
• Dynamic Trend Sensitivity: Paradox Deepwave’s trend model adjusts the way it measures volatility based on whether the market is trending or ranging, helping traders anticipate potential trend reversals or breakouts.
• Volatility Scoring System: The output score brings together these different measures of volatility into a single, unified metric that allows traders to see at a glance where the market stands.
Each component serves a distinct purpose, but together they provide a more holistic view of volatility. Paradox Deepwave does not just measure price range; it contextualizes volatility within market trends and price behavior, offering a 360-degree view that helps traders avoid false signals and stay in sync with market movements.
Why Paradox Deepwave Merits Invite-Only Access
Paradox Deepwave is designed for traders who seek a deeper understanding of market volatility and who want a tool that adapts in real-time. This indicator is especially useful for traders looking for a refined volatility analysis that goes beyond typical tools like the ATR or Bollinger Bands.
• Dynamic Volatility Interaction: The way Paradox Deepwave handles volatility is unique in its ability to adjust based on trend conditions and market phases.
• Comprehensive, Multi-Layered Approach: By analyzing volatility from different angles, it gives traders a fuller picture of market conditions and helps them anticipate major market moves. This is far more than a mashup—it’s a system built to address the complexity of market volatility.
• Tailored for Serious Traders: This tool offers real-time, adaptable signals that are suited for traders who need reliable information to make faster, more informed decisions. The invite-only nature ensures that the tool is available to traders who understand the importance of in-depth market analysis.
How to Use Paradox Deepwave
• Navigating Low Volatility: When the score dips below 30, Paradox Deepwave indicates stable market conditions, suggesting that aggressive trading may not be optimal.
• Capitalizing on High Volatility: When volatility spikes above 70, the indicator shows heightened market activity, where short-term trading opportunities might emerge. Traders can use this signal to anticipate breakouts or sudden market reversals.
• Dynamic Adaptation: As market conditions shift, Paradox Deepwave dynamically adjusts its output, making it easy to stay in tune with evolving market rhythms.
Conclusion:
It's important to note that this indicator is a tool to aid your trading decisions, not a guarantee of success. Always use in conjunction with sound risk management strategies. Past performance is not indicative of future results. The inherent uncertainty of the markets means that the effectiveness of any indicator or tool can vary. If you have any questions or need further clarification on how to use this indicator, feel free to reach out. However, please do not use the comments section of the script to request access or ask for likes or follows. All such requests should be made privately.
M-oscillator
Bull Bear Power With EMA FilterDescription of Indicator:
This Pine Script indicator colors price bars based on the open price in relation to custom moving averages (EMA/SMA), Bull/Bear Power (BBPower), and an optional VWAP filter. The bar colors help identify bullish and bearish conditions with added visual cues for price positioning relative to VWAP.
Key Features:
Customizable Moving Averages (EMA/SMA):
The user can select between EMA or SMA for both short-term and long-term moving averages.
Default moving averages are set to 5 (short-term) and 9 (long-term) but can be adjusted by the user.
Bullish Condition (Blue or Purple Bars):
A bar is colored blue if the following conditions are met:
The open price is above both the short-term and long-term moving averages.
The short-term moving average (MA 1) is above the long-term moving average (MA 2).
BBPower (open price minus the 13-period EMA) is positive, indicating bullish strength.
If the VWAP filter is enabled and the price opens below VWAP, the bullish bars will turn purple.
Bearish Condition (Yellow or Orange Bars):
A bar is colored yellow if the following conditions are met:
The open price is below both the short-term and long-term moving averages.
The short-term moving average (MA 1) is below the long-term moving average (MA 2).
BBPower is negative or zero, indicating bearish market conditions.
If the VWAP filter is enabled and the price opens above VWAP, the bearish bars will turn orange.
VWAP Filter (Optional):
An optional filter allows the user to add VWAP (Volume-Weighted Average Price) to the bar coloring logic.
When the VWAP filter is enabled, it provides additional information about price positioning relative to VWAP, turning bullish bars purple and bearish bars orange depending on whether the price opens above or below VWAP.
Usage:
Bullish Trend: Look for blue or purple bars to identify potential bullish momentum.
Bearish Trend: Look for yellow or orange bars to spot bearish conditions in the market.
The indicator allows users to customize the length and type of moving averages (EMA or SMA), as well as decide whether to apply the VWAP filter.
This indicator provides traders with clear visual signals to quickly assess the strength of bullish or bearish conditions based on the price's position relative to custom moving averages, BBPower, and VWAP, helping with trend identification and potential trade setups.
Stochastic RSI Average Overlay Stochastic Average Overlay is an advanced technical indicator designed to enhance your trading strategy by combining the power of stochastic averages with multiple smoothing techniques. This overlay indicator provides a comprehensive view of market momentum and potential reversal points, integrating features for both trend analysis and signal generation.
Key Features:
Stochastic Average:
Customizable Length: Adjust the length parameter to define the period over which the stochastic average is calculated. This flexibility allows you to tailor the indicator to different market conditions and trading styles.
Pre-Smoothing and Post-Smoothing: The indicator offers pre-smoothing and post-smoothing options to reduce noise and enhance signal clarity. Choose from various smoothing methods, including Simple Moving Average (SMA), Triangular Moving Average (TMA), and Least Squares Moving Average (LSMA).
Normalized Average Calculation:
Normalized Values: The stochastic average is calculated using normalized values to provide a clear view of market extremes. This approach helps in identifying overbought and oversold conditions more effectively.
Trend Detection:
Dynamic Coloring: The indicator uses color-coded plots to indicate bullish or bearish trends. The plot color changes dynamically based on whether the stochastic average is rising (bullish) or falling (bearish).
Upper and Lower Bounds: Includes horizontal lines at the upper (95) and lower (5) bounds to visually represent extreme levels and potential reversal zones.
Signal Generation:
Overbought/Oversold Conditions: Circles are plotted above or below the bars to highlight overbought (crossunder 95) and oversold (crossover 5) conditions.
Buy/Sell Labels: Buy and sell signals are plotted directly on the price chart. A "BUY" label appears below the bar when the stochastic average crosses above the lower bound, and a "SELL" label appears above the bar when it crosses below the upper bound.
Overlay Functionality:
Price Chart Integration: As an overlay indicator, it is plotted on the price chart, allowing you to analyze market conditions in conjunction with price movements.
Usage Tips:
Combine with Other Indicators: Use the Multi-Length Stochastic Average in conjunction with other technical indicators to confirm signals and enhance decision-making.
Adjust Parameters: Tailor the length and smoothing options to fit your trading style and market conditions.
Monitor Signal Strength: Pay attention to the strength of buy and sell signals in conjunction with the trend direction indicated by the color of the plot.
The Stochastic Average Overlay provides traders with a powerful tool to analyze market momentum, identify potential reversal points, and make informed trading decisions based on comprehensive technical analysis.
Disclaimer:
This indicator is designed for informational purposes only and should not be construed as financial advice. Always perform your own research and consider your individual financial situation before making trading decisions.
Weighted Closing Price For Loop | viResearchWeighted Closing Price For Loop | viResearch
Conceptual Foundation and Innovation
The "Weighted Closing Price For Loop" indicator from viResearch offers a unique approach to trend analysis by incorporating a weighted average of the closing price into a loop-based scoring system. By giving more weight to the current closing price and less to previous ones, this method emphasizes recent market activity while smoothing out short-term fluctuations. This weighted approach allows traders to better assess the strength of ongoing trends. The For Loop component then evaluates the price movements over a specified range, assigning scores that help traders identify whether the market is in an uptrend or downtrend.
This combination of weighted closing price and loop-based evaluation provides a refined tool for tracking price momentum and assessing trend direction with greater precision.
Technical Composition and Calculation
The "Weighted Closing Price For Loop" script consists of two main components: the weighted closing price and the For Loop scoring system. The weighted closing price is calculated by applying a higher weight (90%) to the current closing price and a lower weight (10%) to the previous closing price, creating a smoothed average that reflects recent price action. The For Loop system iterates over a defined range of past values (determined by user input), comparing the weighted closing price to its previous values to generate a total score.
The loop evaluates whether the current weighted closing price is higher or lower than the previous ones within the range. A positive score indicates upward momentum, while a negative score suggests downward momentum. The score is then compared to user-defined thresholds to signal potential uptrends or downtrends, making it easier for traders to recognize shifts in market direction.
Features and User Inputs
The "Weighted Closing Price For Loop" script offers several customizable inputs, allowing traders to tailor the indicator to their trading strategies. The "From" and "To" inputs define the range over which the For Loop evaluates past price data, providing flexibility in assessing market trends over different time periods. Additionally, the Thresholds for uptrends and downtrends can be adjusted, enabling traders to fine-tune the sensitivity of the indicator. The script also includes color-coded visual cues and alert conditions to notify traders when the score crosses key threshold levels.
Practical Applications
The "Weighted Closing Price For Loop" indicator is designed for traders who want to track market trends with greater sensitivity to recent price movements. This tool is particularly effective for:
Detecting Trend Reversals: The loop-based scoring system evaluates the direction of the weighted closing price, providing early signals of potential trend reversals when the score crosses key thresholds. Improving Trade Timing: The weighted closing price focuses on recent market activity, allowing traders to refine their entry and exit points by responding to real-time price momentum. Assessing Trend Strength: The For Loop system compares recent price movements to historical data, giving traders a clearer understanding of whether the current trend is gaining or losing strength.
Advantages and Strategic Value
The "Weighted Closing Price For Loop" script offers significant value by combining the responsiveness of weighted closing prices with the analytical depth of a For Loop system. The weighted average ensures that the indicator is more attuned to recent market activity, while the loop-based evaluation provides a structured way to assess trend direction and strength. This dual approach helps traders identify trends earlier and with greater confidence, reducing the impact of short-term noise on their decision-making process. The ability to customize the evaluation range and thresholds further enhances the indicator’s adaptability to various market conditions.
Alerts and Visual Cues
The script includes alert conditions that notify traders when the score crosses key threshold levels, indicating potential uptrends or downtrends. The "Weighted Closing Price For Loop Long" alert is triggered when the score crosses above the upper threshold, signaling a potential upward trend. Conversely, the "Weighted Closing Price For Loop Short" alert is activated when the score drops below the lower threshold, suggesting a possible downward trend. Visual cues, such as color changes in the plot and background fill for trend zones, help traders quickly identify key moments of market movement.
Summary and Usage Tips
The "Weighted Closing Price For Loop | viResearch" indicator provides traders with a powerful tool for tracking trend direction and momentum. By incorporating this script into your trading strategy, you can improve your ability to detect trend reversals, confirm trend strength, and time your trades more effectively. The "Weighted Closing Price For Loop" offers a reliable and customizable solution for traders seeking to enhance their technical analysis with a focus on recent market activity and trend strength.
Note: Backtests are based on past results and are not indicative of future performance.
Dynamic Jurik RSX w/ Fisher Transform█ Introduction
The Dynamic Jurik RSX with Fisher Transform is a powerful and adaptive momentum indicator designed for traders who seek a non-laggy view of price movements. This script is based on the classic Jurik RSX (Relative Strength Index). It also includes features such as the dynamic overbought and oversold limits, the Inverse Fisher Transform, trend display, slope calculations, and the ability to color extremes for better clarity.
█ Key Features:
• RSX: The Relative Strength Index (RSX) in this script is based on Jurik’s RSX, which is smoother than the traditional RSI and aims to reduce noise and lag. This script calculates the RSX using an exponential smoothing technique and adaptive adjustments.
• Inverse Fisher Transform: This script can optionally apply the Inverse Fisher Transform to the RSX, which helps to normalize the RSX values, compressing them between -1 and 1. The inverse transformation makes it easier to spot extreme values (overbought and oversold conditions) by enhancing the visual clarity of those extremes. It also smooths the curve over a user-defined period in hopes of providing a more consistent signal.
• Dynamic Limits: The dynamic overbought and oversold limits are calculated based on the RSX's recent high and low values. The limits adjust dynamically depending on market conditions, making them more relevant to current price action.
• Slope Display: The slope of the RSX is calculated as the rate of change between the current and previous RSX value. The slope is displayed as dots when the slope exceeds the threshold designated by the user, providing visual cues for momentum shifts.
• Trend Coloring: Optionally, the user can also enable a trend-based display. It is simply based on current value of RSX versus the previous one. If RSX is rising then the trend is bullish, if not, then the trend is bearish.
• Coloring Extremes: Users can configure the RSX to color the chart when prices enter extreme conditions, such as overbought or oversold zones, providing visual cues for market reversals.
█ Attached Chart Notes:
• Top Panel: Enabled dynamic limits, Trend display, standard Jurik RSX with 20 lookback period, and Slope display.
• Middle Panel: Enabled dynamic limits, Extremes display, and standard Jurik RSX with 20 lookback period.
• Bottom Panel: Enabled dynamic limits, Trend display, Inverse Fisher Transform with 14 lookback period and 9 smoothing period. and Slope display.
█ Credits:
Special thanks to Everget for providing the original script. The script was also slightly modified based on updates from outside sources.
█ Disclaimer:
This script is for educational purposes only and should not be considered financial advice. Always conduct your own research and consult a professional before making any trading decisions.
Smoothed Wma Z-score | viResearchSmoothed Wma Z-score | viResearch
Conceptual Foundation and Innovation
The "Smoothed Wma Z-score" indicator from viResearch integrates the Weighted Moving Average (WMA) with Z-score analysis, providing traders with a precise tool for identifying market extremes and potential reversions. The WMA gives more weight to recent data, making it highly responsive to short-term price fluctuations, while the Z-score standardizes this price action relative to its historical mean and volatility. By smoothing the WMA and applying Z-score analysis, this indicator helps traders detect when the market is either overbought or oversold, offering actionable signals for mean reversion or trend continuation strategies.
The combination of WMA smoothing and Z-score analysis allows traders to better evaluate the strength of market trends while pinpointing moments when price may be stretched beyond its typical range.
Technical Composition and Calculation
The "Smoothed Wma Z-score" script consists of two primary components: the Weighted Moving Average (WMA) and the Z-score. The WMA is calculated using a user-defined period, applying more weight to recent price data to provide a smoothed representation of the price trend. The Z-score is then derived by measuring how far the current WMA deviates from its historical mean, normalized by its standard deviation over a specified lookback period. This calculation gives a standardized measure of price extremes, allowing traders to determine whether the current price is statistically far from its norm.
The script compares the Z-score with customizable threshold levels to generate buy and sell signals. A Z-score exceeding the upper threshold suggests potential overbought conditions, while a Z-score below the lower threshold may indicate oversold conditions. Additionally, the script highlights areas where price is in the "mean reversion zone," helping traders anticipate when price might revert back to its average.
Features and User Inputs
The "Smoothed Wma Z-score" script offers several customizable inputs, enabling traders to tailor the indicator to their specific trading strategies. The WMA Length determines the sensitivity of the WMA to price changes, while the Lookback Period controls the range over which the mean and standard deviation of the WMA are calculated for the Z-score. Traders can also adjust the thresholds to define the sensitivity of overbought and oversold conditions. Furthermore, the script includes alert conditions that notify traders when trend shifts occur, allowing for timely responses to market movements.
Practical Applications
The "Smoothed Wma Z-score" indicator is designed for traders who focus on identifying price extremes and potential mean reversion opportunities. By combining WMA smoothing with Z-score analysis, this tool can be particularly effective for detecting points of overextension in the market, where a reversion to the mean is likely. The indicator is valuable for traders who seek to capitalize on:
Detecting Overbought and Oversold Conditions: The Z-score measures how far the price has deviated from its norm, allowing traders to identify overbought or oversold conditions with precision. Timing Market Reversals: The indicator provides early signals of potential market reversals by highlighting when the price has moved too far away from its average, helping traders anticipate reversion opportunities. Improving Trend Continuation Strategies: The WMA’s responsiveness to recent price changes, combined with the Z-score’s ability to measure deviations, offers traders a clearer understanding of whether a trend is likely to continue or if it’s overextended.
Advantages and Strategic Value
The "Smoothed Wma Z-score" script provides significant value by integrating WMA smoothing with Z-score analysis, delivering a powerful combination for traders seeking to identify extreme price movements. The ability to smooth price data while detecting statistically significant deviations ensures that traders are better equipped to spot reversals or continuation signals. This dual approach helps reduce noise in price data while offering a robust method for timing entries and exits, making the "Smoothed Wma Z-score" a versatile tool for both mean reversion and trend-following strategies.
Alerts and Visual Cues
The script includes alert conditions that notify traders when key thresholds are crossed. The "Smoothed Wma Z-score Long" alert is triggered when the Z-score moves above the upper threshold, signaling potential overbought conditions. The "Smoothed Wma Z-score Short" alert is activated when the Z-score drops below the lower threshold, indicating possible oversold conditions. Visual cues, such as color changes in the Z-score plot and highlighted mean reversion zones, help traders quickly identify critical market conditions and make timely decisions.
Summary and Usage Tips
The "Smoothed Wma Z-score | viResearch" indicator provides traders with a powerful tool for analyzing price extremes and identifying mean reversion opportunities. By incorporating this script into your trading strategy, you can improve your ability to spot overbought and oversold conditions, timing market reversals with greater accuracy. The "Smoothed Wma Z-score" is a reliable and customizable solution for traders focused on both mean reversion and trend-following strategies in volatile market environments.
Note: Backtests are based on past results and are not indicative of future performance.
Dema EFI Volume | viResearchDema EFI Volume | viResearch
Conceptual Foundation and Innovation
The "Dema EFI Volume" indicator from viResearch integrates the Double Exponential Moving Average (DEMA) with the Elder Force Index (EFI), providing a dynamic approach to analyzing both price trends and volume strength. The DEMA is applied to smooth out price fluctuations while minimizing lag, which enhances the ability to detect trend direction. The EFI, developed by Dr. Alexander Elder, measures the power behind price movements by incorporating both price change and volume. This indicator, when combined with DEMA smoothing, gives traders a more accurate understanding of whether the current price movements are supported by significant volume, helping them make more informed trading decisions. The combination of DEMA and EFI allows traders to track trend strength while assessing the market’s volume dynamics, offering a more reliable method for identifying potential trend continuations or reversals.
Technical Composition and Calculation
The "Dema EFI Volume" script consists of two key components: the Double Exponential Moving Average (DEMA) and the Elder Force Index (EFI). The DEMA is applied to the selected source price over a user-defined length, providing a smoothed representation of price movements while reducing the noise that can occur with traditional moving averages. The EFI is calculated by multiplying the change in the DEMA by the volume over a user-defined period, which indicates whether the price movement is being driven by strong or weak volume. The script monitors the EFI values and volume data to generate trend signals. If the EFI is positive and volume increases, this indicates bullish pressure, while a negative EFI with decreasing volume suggests bearish conditions. The combination of these signals helps traders determine whether a price move is backed by sufficient volume, making it easier to identify trend continuations or potential reversals.
Features and User Inputs
The "Dema EFI Volume" script offers several customizable inputs, allowing traders to adapt the indicator to their specific strategies. The DEMA Length controls the smoothing applied to the price data, while the EFI Length defines the period over which the force index is calculated. Additionally, traders can set alert conditions for when a bullish or bearish EFI signal occurs, enabling them to react quickly to changing market conditions.
Practical Applications
The "Dema EFI Volume" indicator is designed for traders who want to combine price trend analysis with volume dynamics in a single tool. This makes it particularly effective for identifying trend continuations, as rising volume alongside a positive EFI suggests that the market move is supported by strong momentum. Conversely, decreasing volume and a negative EFI may indicate a weakening trend, giving traders early warning of potential reversals. The combination of DEMA and EFI also makes this indicator valuable for detecting trend strength by measuring whether price movements are backed by strong volume, confirming trend reversals by comparing price changes with volume activity, and improving trade entries and exits by analyzing both price and volume for more robust signals.
Advantages and Strategic Value
The "Dema EFI Volume" script offers significant advantages by combining the DEMA’s smoothing power with the EFI’s volume analysis. This integration allows traders to filter out noise in price data while ensuring that trend signals are backed by meaningful volume. The result is a more reliable tool for trend-following and reversal detection, making it easier for traders to stay aligned with strong market moves while avoiding false signals caused by low-volume fluctuations. The dual focus on price and volume makes the "Dema EFI Volume" an ideal tool for traders who value a comprehensive approach to market analysis.
Alerts and Visual Cues
The script includes alert conditions that notify traders when a significant EFI signal occurs. The "EFI Volume Long" alert is triggered when the EFI is positive and volume increases, indicating a potential upward trend. The "EFI Volume Short" alert signals a possible downward trend when the EFI turns negative and volume decreases. Visual cues, such as the color and direction of the plotted EFI line, help traders quickly identify trend shifts and make timely decisions.
Summary and Usage Tips
The "Dema EFI Volume | viResearch" indicator provides traders with a powerful tool for analyzing both price trends and volume strength. By incorporating this script into your trading strategy, you can improve your ability to detect trend continuations and reversals, making more informed decisions based on a combination of price movement and volume dynamics. Whether you are focused on identifying trend strength or looking for early reversal signals, the "Dema EFI Volume" offers a reliable and customizable solution for traders of all levels.
Note: Backtests are based on past results and are not indicative of future performance.
DILM TRADING - Market Sentiment and FibonacciDILM TRADING - Market Sentiment and Fibonacci
Overview
The DILM TRADING - Market Sentiment and Fibonacci indicator is designed to provide traders with a comprehensive view of market trends and potential trading opportunities. By combining several popular technical indicators such as the SuperTrend, Fibonacci levels, and multiple sentiment indicators, this tool offers a deep analysis of market dynamics. Each component has been carefully selected to work in harmony, providing users with reliable entry and exit signals and helping them navigate volatile markets.
Why This Combination?
This indicator brings together different elements with specific purposes:
SuperTrend: A trend-following indicator that helps identify the market's current direction and acts as a dynamic stop-loss tool.
Fibonacci Levels: Known for pinpointing potential market reversal points, these levels provide crucial support and resistance areas for traders to set stop-losses and take-profits.
Sentiment Indicators: Tools like RSI, MACD, and Ichimoku are combined to gauge market momentum, allowing traders to assess whether a market is overbought or oversold, and whether the current trend is strong enough to continue or reverse.
The combination of these indicators gives traders a complete framework for analyzing the market: trend direction, market sentiment, and key price levels. Each of these elements works in tandem to provide signals that are both timely and accurate.
Key Features
SuperTrend
Based on the Average True Range (ATR), the SuperTrend indicator is an excellent way to determine the current trend. If the price is above the SuperTrend line, it suggests an uptrend, whereas if the price is below it, a downtrend is indicated. It is also a highly effective tool for setting trailing stop-losses, thereby improving risk management.
Fibonacci Levels
The script automatically calculates Fibonacci retracement levels based on the highest and lowest points within a specific timeframe. These levels are essential for identifying potential reversal zones, key areas for stop-losses, and take-profit levels. The levels adjust according to the prevailing trend, making them a dynamic and responsive tool for any market condition.
Sentiment Indicators
This section integrates multiple sentiment indicators to give a holistic view of market direction:
Ichimoku Cloud: Measures the strength of trends and identifies potential reversal zones using clouds (Kumo).
OBV (On-Balance Volume): Tracks volume changes to confirm the direction of price movements.
CMF (Chaikin Money Flow): Monitors the money flow to identify buying or selling pressure.
RSI (Relative Strength Index): Highlights overbought or oversold conditions, signaling potential trend reversals.
MACD: A reliable tool for identifying bullish and bearish crossovers.
ADX (Average Directional Index): Determines the strength of the prevailing trend, helping to confirm whether it's likely to continue or weaken.
Volatility Filter
The ATR (Average True Range) acts as a filter to identify periods of high or low volatility, helping traders to adapt their strategies to the current market environment. High volatility suggests larger price swings, potentially offering better trading opportunities, while low volatility indicates consolidation or range-bound conditions.
Order Blocks
The script visually identifies bullish and bearish order blocks on the chart. These zones represent areas where significant buying or selling occurred, making them crucial for spotting potential breakout or reversal points.
How to Use
Entry/Exit: Fibonacci levels (50% or 61.8%) serve as potential entry points, while the 0% and 100% levels can be used to set take-profit and stop-loss levels.
Sentiment Analysis: The overall market sentiment is derived from the combination of Ichimoku, OBV, CMF, RSI, ADX, and other tools, helping traders make informed decisions on whether to buy or sell.
Risk Management: Use SuperTrend and Fibonacci levels to set precise stop-loss points and improve risk management.
New Feature: Moving Average and RSI Confirmation
A recent addition allows users to calculate two moving averages (short and long) and the RSI on a timeframe of their choice. An entry signal is generated when the short moving average crosses above the long, and the RSI is below a specific threshold. Conversely, a sell signal is displayed when the short moving average crosses below the long, and the RSI is above a defined level.
Limitations
This indicator may be less effective during periods of low volatility or range-bound markets. It's important to use this tool in conjunction with other analysis techniques, as relying on a single indicator could lead to false signals.
DILM TRADING - Sentiment de marché et Fibonacci
Vue d'ensemble
L'indicateur DILM TRADING - Sentiment de marché et Fibonacci a été conçu pour offrir une vue d'ensemble des tendances du marché et des opportunités de trading potentielles. En combinant plusieurs indicateurs techniques populaires, tels que le SuperTrend, les niveaux de Fibonacci, et divers indicateurs de sentiment, cet outil fournit une analyse complète des dynamiques du marché. Chaque composant a été soigneusement sélectionné pour fonctionner ensemble, offrant des signaux d'entrée et de sortie fiables.
Pourquoi cette combinaison ?
Cette combinaison d'indicateurs permet de fournir un cadre complet pour analyser le marché. Le SuperTrend permet d'identifier la tendance, tandis que les niveaux de Fibonacci aident à déterminer les zones de retournement clés. Les indicateurs de sentiment, comme le RSI et le MACD, ajoutent une dimension supplémentaire en mesurant la force et la direction du marché.
Caractéristiques clés et Utilisation
SuperTrend : Indique la tendance actuelle et propose des niveaux de stop-loss dynamiques.
Niveaux de Fibonacci : Utilisés pour repérer des points de retournement potentiels et définir des niveaux de stop-loss et de take-profit.
Indicateurs de Sentiment : Outils comme l'Ichimoku, le RSI, et l'ADX fournissent une analyse globale du marché, permettant de prendre des décisions éclairées.
Nouvelle fonctionnalité : Confirmation des Moyennes Mobiles et RSI
Cette fonctionnalité permet d'utiliser deux moyennes mobiles et le RSI pour générer des signaux d'achat et de vente basés sur les croisements et les niveaux de surachat/survente du RSI.
Conclusion
Le DILM TRADING - Sentiment de marché et Fibonacci est un outil puissant et polyvalent, conçu pour les traders cherchant à affiner leurs stratégies grâce à une analyse complète des tendances et du sentiment du marché.
Bitcoin Thermocap [InvestorUnknown]The Bitcoin Thermocap indicator is designed to analyze Bitcoin's market data using a variant of the "Thermocap Multiple" concept from BitBo. This indicator offers several modes for interpreting Bitcoin's historical block and price data, aiding investors and analysts in understanding long-term market dynamics and generating potential investing signals.
Key Features:
1. Thermocap Calculation
The core of the indicator is based on the Thermocap Multiple, which evaluates Bitcoin's value relative to its cumulative historical blocks mined.
Thermocap Formula:
Source: Bitbo
btc_price = request.security("INDEX:BTCUSD", "1D", close)
BTC_BLOCKSMINED = request.security("BTC_BLOCKSMINED", "D", close)
// Variable to store the cumulative historical blocks
var float historical_blocks = na
// Initialize historical blocks on the first bar
if (na(historical_blocks))
historical_blocks := 0.0
// Update the cumulative blocks for each day
historical_blocks += BTC_BLOCKSMINED * btc_price
// Calculate the Thermocap
float thermocap = ((btc_price / historical_blocks) * 1000000) // the multiplication is just for better visualization
2. Multiple Display Modes:
The indicator can display data in four different modes, offering flexibility in interpretation:
RAW: Displays the raw Thermocap value.
LOG: Applies the logarithm of the Thermocap to visualize long-term trends more effectively, especially for large-value fluctuations.
MA Oscillator: Shows the ratio between the Thermocap and its moving average (MA). Users can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA) for smoothing.
Normalized MA Oscillator: Provides a normalized version of the MA Oscillator using a dynamic min-max rescaling technique.
3. Normalization and Rescaling
The indicator normalizes the Thermocap Oscillator values between user-defined limits, allowing for easier interpretation. The normalization process decays over time, with values shrinking towards zero, providing more relevance to recent data.
Negative values can be allowed or restricted based on user preferences.
f_rescale(float value, float min, float max, float limit, bool negatives) =>
((limit * (negatives ? 2 : 1)) * (value - min) / (max - min)) - (negatives ? limit : 0)
f_max_min_normalized_oscillator(float x) =>
float oscillator = x
var float min = na
var float max = na
if (oscillator > max or na(max)) and time >= normalization_start_date
max := oscillator
if (min > oscillator or na(min)) and time >= normalization_start_date
min := oscillator
if time >= normalization_start_date
max := max * decay
min := min * decay
normalized_oscillator = f_rescale(x, min, max, lim, neg)
Usage
The Bitcoin Thermocap indicator is ideal for long-term market analysis, particularly for investors seeking to assess Bitcoin's relative value based on mining activity and price dynamics. The different display modes and customization options make it versatile for a variety of market conditions, helping users to:
Identify periods of overvaluation or undervaluation.
Generate potential buy/sell signals based on the MA Oscillator and its normalized version.
By leveraging this Thermocap-based analysis, users can gain a deeper understanding of Bitcoin's historical and current market position, helping to inform investment strategies.
Fetch Stoch RSI Swing Buy and SellThe "Fetch Stoch RSI Swing Buy and Sell" script is a custom trading indicator built in Pine Script for TradingView. It leverages the Stochastic RSI to generate both buy and sell signals based on user-defined thresholds for overbought and oversold conditions.
Key Features:
1: Stochastic RSI Calculation:
- The script uses the Stochastic RSI indicator, a momentum oscillator that measures the relative strength index (RSI) against its high-low range over a specific period.
- The %K and %D lines of the Stochastic RSI are smoothed using moving averages to help refine the signals.
2: Oversold Buy Signals:
- A buy signal is triggered when both the Stochastic RSI %K and %D values drop below a user-defined oversold level (default 20).
- The script tracks the number of dips below the oversold threshold and fires a buy signal after a specified number of dips (default 10).
- When the buy condition is met, a green upward triangle is plotted below the candle, and an alert is triggered.
3: Overbought Sell Signals:
- A sell signal is generated when the Stochastic RSI %K and %D exceed a user-defined overbought level (default 80).
- Similar to the buy condition, the script counts the number of tops above the overbought level and triggers a sell signal after a specific number of tops (default 10).
When the sell condition is met, a red downward triangle is plotted above the candle, and an alert is triggered.
This script is particularly useful for swing traders looking to capitalize on short-term reversals in the market, as it helps to identify potential entry and exit points based on momentum shifts.
Adaptive LSMA Regression OscillatorOverview:
The Adaptive LSMA Regression Oscillator is an open-source technical analysis tool designed to reflect market price deviations from an adaptive least squares moving average (LSMA). The adaptive length of the LSMA changes dynamically based on the volatility of the market, making the indicator responsive to different market conditions.
Key Features:
Adaptive Length Adjustment : The base length of the LSMA is adjusted based on market volatility, measured by the Average True Range (ATR). The more volatile the market, the longer the adaptive length, and vice versa.
Oscillator : The indicator calculates the difference between the closing price and the adaptive LSMA. This difference is plotted as a histogram, showing whether prices are above or below the LSMA.
Color-Coded Histogram:
Positive values (where price is above the LSMA) are colored green.
Negative values (where price is below the LSMA) are colored red.
Debugging Information: The adaptive length is plotted for transparency, allowing users to see how the length changes based on the multiplier and ATR.
How It Works:
Inputs:
Base Length : This defines the starting length of the LSMA. It is adjusted based on market conditions.
Multiplier : A customizable multiplier is used to control how much the adaptive length responds to changes in volatility.
ATR Period : This determines the lookback period for the Average True Range calculation, a measure of market volatility.
Dynamic Adjustment:
The length of the LSMA is dynamically adjusted by multiplying the base length by a factor derived from ATR and the average close price.
This helps the indicator adapt to different market conditions, staying shorter during low volatility and longer during high volatility.
Example Use Cases:
Trend Analysis: By observing the oscillator, traders can see when prices deviate from a dynamically adjusted LSMA. This can be used to evaluate potential trend direction or changes in market behavior.
Volatility-Responsive Indicator: The adaptive length ensures that the indicator responds appropriately in both high and low volatility environments.
Ema Z-score | viResearchEma Z-score | viResearch
Conceptual Foundation and Innovation
The "Ema Z-score" indicator introduces a novel method of analyzing price deviations from the mean by combining the Exponential Moving Average (EMA) with a Z-score calculation. The Z-score is a statistical measure that quantifies how far a value deviates from the mean in terms of standard deviations. By applying the Z-score to an EMA, this indicator provides traders with insights into the strength and momentum of price movements relative to a smoothed average. This enables better detection of overbought and oversold conditions, as well as potential trend reversals.
The use of the Z-score helps filter out noise and provides more robust signals by highlighting extreme deviations from the mean, allowing traders to make more informed decisions in both trending and ranging markets.
Technical Composition and Calculation
The "Ema Z-score" script consists of two main components: the Exponential Moving Average (EMA) and the Z-score calculation. The EMA is calculated over a user-defined length, smoothing price movements to provide a clearer trend line. The Z-score is then derived by measuring the deviation of the current EMA value from the mean of the EMA over a lookback period, divided by the standard deviation of the EMA during that same period.
For the Z-score calculation, the script first computes the mean EMA over the lookback period using the ta.ema function. It then calculates the standard deviation of the EMA over the same period using the ta.stdev function. The Z-score is determined by subtracting the mean EMA from the current EMA value and dividing by the standard deviation, producing a normalized measure of deviation from the average.
Features and User Inputs
The "Ema Z-score" script offers several customizable inputs that allow traders to adjust the indicator according to their strategies. The EMA Length controls the smoothing period of the EMA, while the Lookback Period defines how far back the script looks when calculating the mean and standard deviation for the Z-score. Customizable thresholds allow traders to define when the Z-score signals potential uptrends or downtrends, based on their chosen levels of deviation.
Practical Applications
The "Ema Z-score" indicator is designed for traders who want to better understand price deviations from the mean and use those insights to identify potential trading opportunities. This tool is particularly effective for:
Identifying Overbought and Oversold Conditions: The Z-score provides a quantitative measure of how far the price has deviated from the mean, helping traders spot extreme conditions that could lead to reversals. Detecting Trend Reversals: By monitoring when the Z-score crosses certain thresholds, traders can identify potential trend reversals early and adjust their positions accordingly. Confirming Trend Strength: The Z-score can help confirm whether a price move is backed by momentum or is likely to revert to the mean, providing additional context for trade entries and exits.
Advantages and Strategic Value
The "Ema Z-score" script offers a significant advantage by combining the smoothing effect of the EMA with the precision of Z-score analysis. This approach reduces the impact of market noise while highlighting meaningful deviations from the norm. The ability to quantify deviations in terms of standard deviations gives traders a statistical edge in identifying overbought or oversold conditions and potential trend shifts. This makes the "Ema Z-score" an effective tool for both trend-following and contrarian strategies.
Alerts and Visual Cues
The script includes alert conditions to notify traders of key Z-score threshold crossings. The "Ema Z-score Long" alert is triggered when the Z-score exceeds the upper threshold, signaling a potential upward trend. Conversely, the "Ema Z-score Short" alert signals a possible downward trend when the Z-score falls below the lower threshold. Visual cues such as color changes in the bar chart and Z-score plot help traders easily identify these conditions on the chart.
Summary and Usage Tips
The "Ema Z-score | viResearch" indicator offers a unique combination of EMA smoothing and Z-score analysis, giving traders a statistical measure of price deviations and improving their ability to detect overbought or oversold conditions, trend reversals, and trend confirmations. By incorporating this script into your trading strategy, you can better quantify price extremes and make more informed decisions in both volatile and stable markets. Whether you're focused on spotting early reversals or confirming ongoing trends, the "Ema Z-score" provides a reliable and customizable solution.
Note: Backtests are based on past results and are not indicative of future performance.
Median For Loop | viResearchMedian For Loop | viResearch
Conceptual Foundation and Innovation
The "Median For Loop" indicator provides an innovative approach to analyzing market data by combining the power of the Median Price with a dynamic scoring system based on a for loop mechanism. This unique script evaluates the median price of the market over a user-defined period, then applies a loop function to generate a score that helps traders detect trends, reversals, and market momentum.
The median, being a robust measure of central tendency, helps filter out noise and better represent the middle of a price range. By applying a loop function that compares the current median to historical values, this script offers a detailed view of price momentum, allowing traders to detect potential trend changes with improved accuracy.
Technical Composition and Calculation
The "Median For Loop" script is composed of two primary components:
Median Calculation: The indicator calculates the median price of the market based on the chosen input source (default is HLC3: the average of high, low, and close) and the specified length. This creates a central value around which market movements can be evaluated.
For Loop Scoring System: This system compares the current median value with past values within a user-defined range, generating a score that reflects how the market is trending. The loop mechanism dynamically sums the score based on whether the current median is higher or lower than historical medians, providing a clear signal of trend strength and direction.
Key Calculations:
Median Calculation: The median is calculated using the percentile_nearest_rank function, providing the 50th percentile of the selected price data over the given length.
For Loop Scoring:
The loop evaluates the median over a defined range (from and to), comparing the current median to historical values.
If the current median is higher than a previous value, a positive score is added; if it is lower, a negative score is added. This forms the final total score, indicating the trend strength.
Features and User Inputs
The "Median For Loop" script offers flexibility and customization options for traders to adapt it to various market conditions and trading strategies:
Median Length: Control the period over which the median price is calculated, affecting the responsiveness of the indicator to price changes.
Loop Range (From and To): Define the range over which the loop evaluates historical median values, allowing traders to adjust how far back the script looks when assessing momentum.
Thresholds: User-defined thresholds are available to specify when the score indicates an uptrend or downtrend. This provides traders with control over the sensitivity of the trend signals.
Practical Applications
The "Median For Loop" indicator is ideal for traders seeking a balanced, noise-filtered approach to trend detection. It is particularly effective for:
Detecting Early Trend Reversals: The loop-based scoring system offers early signals of potential reversals by comparing the current median with past medians, giving traders an advantage in volatile markets.
Confirming Trend Strength: By analyzing the median over time, the script helps confirm whether trends are gaining or losing momentum, improving the accuracy of trade entries and exits.
Strategic Positioning: The customizable parameters allow traders to adapt the script to various market conditions, enhancing their ability to position themselves effectively in both trending and ranging markets.
Advantages and Strategic Value
The key advantage of the "Median For Loop" script is its ability to reduce market noise by focusing on the median price while providing a dynamic scoring system for trend detection. The combination of median calculation and loop-based evaluation offers a more refined view of market momentum, reducing false signals and increasing the reliability of trend identification. This makes it a valuable tool for traders aiming to enhance their market timing and strategy development.
Alerts and Visual Cues
The script includes built-in alerts to notify traders of potential trend changes:
Median For Loop Long: Triggers when the score exceeds the upper threshold, indicating a possible upward trend.
Median For Loop Short: Triggers when the score falls below the lower threshold, signaling a potential downward trend.
Visual cues are also provided, with background colors highlighting potential trend shifts when the score crosses certain levels, offering traders an easy-to-read signal on the chart.
Summary and Usage Tips
The "Median For Loop | viResearch" indicator provides a powerful combination of median price smoothing and dynamic trend scoring, allowing traders to gain a clearer understanding of market momentum. By incorporating this script into your trading strategy, you can improve your ability to detect trends and reversals while reducing the noise that often affects price data. Whether you're focusing on early reversals or confirming the strength of existing trends, this indicator offers a reliable and customizable solution.
Note: Backtests are based on past results and are not indicative of future performance.
Lsma For Loop | viResearchLsma For Loop | viResearch
Conceptual Foundation and Innovation
The "Lsma For Loop" indicator offers a unique combination of the Least Squares Moving Average (LSMA) with a dynamic scoring system based on a loop function. By comparing the current LSMA value with historical values over a user-defined range, this indicator generates a detailed score that helps detect trend strength and potential reversals. This approach provides traders with a more nuanced analysis of price action, allowing them to identify trends earlier and with more accuracy.
The LSMA, which minimizes lag compared to traditional moving averages, is ideal for detecting trends as it provides a smooth and quick-to-respond line. When combined with the loop-based scoring system, traders can benefit from a powerful tool for analyzing market momentum and capturing profitable trends.
Technical Composition and Calculation
The "Lsma For Loop" script features two essential components:
Least Squares Moving Average (LSMA): The LSMA is calculated over a user-defined length using a linear regression model. It provides a smooth line that follows price trends more closely, reducing the noise that is often present in simple moving averages.
For Loop Scoring System: This system evaluates the LSMA over a range of previous values, generating a score based on whether the current LSMA is higher or lower than its previous values within the specified range. The resulting score reflects the strength of the trend, with higher scores indicating a stronger uptrend and lower scores signaling a downtrend.
Key Calculations:
LSMA Calculation: The LSMA is derived from the closing price over the selected period (len), providing a smooth moving average that fits the price data closely.
For Loop Scoring:
The loop iterates over a range of previous LSMA values, comparing the current LSMA to each past value.
If the current LSMA is higher than a previous value, a positive score is added; if it is lower, a negative score is added. The sum of these comparisons forms the overall score.
Features and User Inputs
The "Lsma For Loop" script offers a range of customization options, allowing traders to tailor the indicator to their specific trading strategies and market conditions:
LSMA Length: Adjust the length of the LSMA, controlling the smoothness of the indicator and how quickly it reacts to price changes.
Loop Range (From and To): Define the range over which the for loop evaluates LSMA values. This provides flexibility in assessing momentum over different timeframes.
Thresholds: Customizable threshold levels are used to define when the score indicates an uptrend or downtrend. This allows traders to fine-tune the sensitivity of the indicator to market movements.
Practical Applications
The "Lsma For Loop" is a versatile tool for traders who want to leverage the advantages of LSMA smoothing while gaining a more detailed view of trend strength. This indicator is particularly useful for:
Identifying Trend Reversals: The loop-based scoring system provides an early indication of potential trend reversals, allowing traders to react before major market movements.
Confirming Trend Strength: By evaluating the LSMA against a range of previous values, the script helps confirm whether a trend is strengthening or weakening.
Enhanced Market Positioning: The customizable range and thresholds enable traders to adapt the script to different market conditions, whether they are day trading or swing trading.
Advantages and Strategic Value
The primary advantage of the "Lsma For Loop" script lies in its ability to provide a more granular analysis of LSMA behavior through the use of the for loop. This dynamic approach reduces the likelihood of false signals and offers greater accuracy in detecting trends. The indicator’s versatility makes it a valuable tool for both short-term and long-term trading strategies.
Alerts and Visual Cues
The script includes built-in alert conditions to notify traders of key trend changes:
Lsma For Loop Long: Indicates a potential upward trend when the score exceeds the upper threshold.
Lsma For Loop Short: Signals a potential downward trend when the score falls below the lower threshold.
Additionally, visual cues such as background color changes highlight when the score crosses certain key levels, providing an easy-to-read representation of market trends directly on the chart.
Summary and Usage Tips
The "Lsma For Loop | viResearch" indicator provides traders with a powerful tool that combines LSMA smoothing with a dynamic loop-based scoring system for trend detection. Incorporating this script into your trading strategy can help improve trend identification and enhance decision-making around entries and exits. Whether you are trading in trending markets or looking for early reversal signals, this script offers a reliable and flexible solution.
Note: Backtests are based on past results and are not indicative of future performance.
Multi-Kernel CCI [BackQuant]Multi-Kernel CCI
Conceptual Foundation and Innovation
It offers a fresh take on the Commodity Channel Index (CCI) by integrating three distinct kernel functions—Exponential Decay, Gaussian Decay, and Cosine Decay—to create a more robust and adaptive momentum indicator. The use of these kernel functions allows the CCI calculation to be more responsive to price changes while smoothing out noise, providing traders with clearer trend signals and reducing false alerts in varying market conditions.
Technical Composition and Calculation
The core of this indicator is a multi-kernel approach to calculating the CCI, where three different decay kernels are applied to the price source. Each kernel provides a unique weighting mechanism for price data over a user-defined lookback period. The result is an average of these three kernel calculations, which serves as the foundation for the CCI calculation. This innovative approach makes the Multi-Kernel CCI more adaptive to different market conditions compared to traditional CCI calculations.
Exponential Decay Kernel: Applies an exponential weighting to recent price data, giving more importance to recent values while smoothing out older data.
Gaussian Decay Kernel: Weights data using a Gaussian function, ensuring smooth transitions between price points and reducing outliers' impact.
Cosine Decay Kernel: Utilizes a cosine function to apply a unique oscillating weight to the data, capturing cyclical market movements more effectively.
Adaptive Thresholding: Like the Adaptive Momentum Oscillator, this indicator adjusts its long and short thresholds dynamically using percentile-based calculations over historical CCI values.
Features and User Inputs The Multi-Kernel CCI offers a wide range of customization options for traders:
Kernel Calculation Length & Alpha: Traders can fine-tune the sensitivity of the CCI by adjusting the length of the kernel calculation and the alpha parameter for the Exponential Decay Kernel.
Adaptive Thresholds: The indicator provides percentile-based thresholds for both long and short signals, allowing traders to dynamically adjust their signals based on historical data.
Extreme Value Detection: This feature highlights extreme overbought and oversold conditions with customizable thresholds and background hues, visually aiding in identifying high-probability reversal zones.
Divergence Detection: The script includes a divergence detection feature, identifying regular and hidden bullish or bearish divergences to help traders spot potential trend reversals.
Practical Applications The Multi-Kernel CCI excels in markets where adaptive trend detection and momentum confirmation are critical. Traders can leverage this tool in several ways:
Adaptive Trend Following: The dynamically adjusting thresholds allow traders to capture trends more effectively while avoiding false signals during consolidations or choppy markets.
Reversal Detection: The multi-kernel approach ensures that reversals are detected with greater precision, particularly in volatile markets where traditional indicators might fail.
Divergence Identification: With built-in divergence detection, the indicator provides traders with an early warning of potential trend reversals, helping to time their entries and exits more effectively.
Advantages and Strategic Value The Multi-Kernel CCI offers several strategic advantages over traditional CCI indicators:
Multi-Kernel Smoothing:
By using multiple decay kernels, this CCI calculation is better suited to detect subtle changes in market momentum, reducing the impact of noise and providing clearer trend signals.
Dynamic Thresholds:
The adaptive percentile-based thresholds ensure that the indicator remains relevant across different market conditions, enhancing signal accuracy.
Visual and Analytical Aids:
With features like extreme value detection and divergence spotting, this indicator equips traders with powerful tools to confirm trend strength and identify potential reversals.
Summary and Usage Tips
The Multi-Kernel CCI is a highly versatile tool for traders seeking a more adaptive and robust momentum indicator. Its multi-kernel foundation provides smoother, more reliable signals, while the adaptive thresholds and divergence detection features help traders refine their entries and exits. The dynamic nature of this indicator makes it ideal for both trend-following and reversal strategies in volatile markets.
Traders should experiment with the kernel calculation length and alpha parameter to align the indicator's sensitivity with their specific trading style and market conditions. Additionally, the adaptive thresholds can be fine-tuned to ensure the CCI captures the most significant trend changes without being overly reactive to short-term fluctuations.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Composite Momentum█ Introduction
The Composite Momentum Indicator is a tool we came across that we found to be useful at detecting implied tops and bottoms within quick market cycles. Its approach to analyzing momentum through a combination of moving averages and summation techniques makes it a useful addition to the range of available indicators on TradingView.
█ How It Works
This indicator operates by calculating the difference between two moving averages—one fast and one slow, which can be customized by the user. The difference between these two averages is then expressed as a percentage of the fast moving average, forming the core momentum value which is then smoothed with an Exponential Moving Average is applied. The smoothed momentum is then compared across periods to identify directional changes in direction
Furthermore, the script calculates the absolute differences between consecutive momentum values. These differences are used to determine periods of momentum acceleration or deceleration, aiming to establish potential reversals.
In addition to tracking momentum changes, the indicator sums positive and negative momentum changes separately over a user-defined period. This summation is intended to provide a clearer picture of the prevailing market bias—whether it’s leaning towards strength or weakness.
Finally, the summed-up values are normalized to a percentage scale. This normalization helps in identifying potential tops and bottoms by comparing the relative strength of the momentum within a given cycle.
█ Usage
This indicator is primarily useful for traders who focus on detecting quick cycle tops and bottoms. It provides a view of momentum shifts that can signal these extremes, though it’s important to use it in conjunction with other tools and market analysis techniques. Given its ability to highlight potential reversals, it may be of interest to those who seek to understand short-term market dynamics.
█ Disclaimer
This script was discovered without any information about its author or original intent but was nonetheless ported from its original format that is available publicly. It’s provided here for educational purposes and should not be considered a guaranteed method for market analysis. Users are encouraged to test and understand the indicator thoroughly before applying it in real trading scenarios.
Uptrick: Dual Moving Average Volume Oscillator
Title: Uptrick: Dual Moving Average Volume Oscillator (DPVO)
### Overview
The "Uptrick: Dual Moving Average Volume Oscillator" (DPVO) is an advanced trading tool designed to enhance market analysis by integrating volume data with price action. This indicator is specially developed to provide traders with deeper insights into market dynamics, making it easier to spot potential entry and exit points based on volume and price interactions. The DPVO stands out by offering a sophisticated approach to traditional volume analysis, setting it apart from typical volume indicators available on the TradingView platform.
### Unique Features
Unlike traditional indicators that analyze volume and price movements separately, the DPVO combines these two critical elements to offer a comprehensive view of market behavior. By calculating the Volume Impact, which involves the product of the exponential moving averages (EMAs) of volume and the price range (close - open), this indicator highlights significant trading activities that could indicate strong buying or selling pressure. This method allows traders to see not just the volume spikes, but how those spikes relate to price movements, providing a clearer picture of market sentiment.
### Customization and Inputs
The DPVO is highly customizable, catering to various trading styles and strategies:
- **Oscillator Length (`oscLength`)**: Adjusts the period over which the volume and price difference is analyzed, allowing traders to set it according to their trading timeframe.
- **Fast and Slow Moving Averages (`fastMA` and `slowMA`)**: These parameters control the responsiveness of the DPVO. A shorter `fastMA` coupled with a longer `slowMA` can help in identifying trends quicker or smoothing out market noise for more conservative approaches.
- **Signal Smoothing (`signalSmooth`)**: This input helps in reducing signal noise, making the crossover and crossunder points between the DVO and its smoothed signal line clearer and easier to interpret.
### Functionality Details
The DPVO operates through a sequence of calculated steps that integrate volume data with price movement:
1. **Volume Impact Calculation**: This is the foundational step where the product of the EMA of volume and the EMA of price range (close - open) is calculated. This metric highlights trading sessions where significant volume accompanies substantial price movements, suggesting a strong market response.
2. **Dynamic Volume Oscillator (DVO)**: The heart of the indicator, the DVO, is derived by calculating the difference between the fast EMA and the slow EMA of the Volume Impact. This result is then normalized by dividing by the EMA of the volume over the same period to scale the output, making it consistent across various trading environments.
3. **Signal Generation**: The final output is smoothed using a simple moving average of the DVO to filter out market noise. Buy and sell signals are generated based on the crossover and crossunder of the DVO with its smoothed version, providing clear cues for market entry or exit.
### Originality
The DPVO's originality lies in its innovative integration of volume and price movement, a novel approach not typically observed in other volume indicators. By analyzing the product of volume and price change EMAs, the DPVO captures the essence of market dynamics more holistically than traditional tools, which often only reflect volume levels without contextualizing them with price actions. This dual analysis provides traders with a deeper understanding of market forces, enabling them to make more informed decisions based on a combination of volume surges and significant price movements. The DPVO also introduces a unique normalization and smoothing technique that refines the oscillator's output, offering cleaner and more reliable signals that are adaptable to various market conditions and trading styles.
### Practical Application
The DPVO excels in environments where volume plays a crucial role in validating price movements. Traders can utilize the buy and sell signals generated by the DPVO to enhance their decision-making process. The signals are plotted directly on the trading chart, with buy signals appearing below the price bars and sell signals above, ensuring they are prominent and actionable. This setup is particularly useful for day traders and swing traders who rely on timely and accurate signals to maximize their trading opportunities.
### Best Practices
To maximize the effectiveness of the DPVO, traders should consider the following best practices:
- **Market Selection**: Use the DPVO in markets known for strong volume-price correlation such as major forex pairs, popular stocks, and cryptocurrencies.
- **Signal Confirmation**: While the DPVO provides powerful signals, confirming these signals with additional indicators such as RSI or MACD can increase trade reliability.
- **Risk Management**: Always use stop-loss orders to manage risks associated with trading signals. Adjust the position size based on the volatility of the asset to avoid significant losses.
### Practical Example + How to use it
Practical Example1: Day Trading Cryptocurrencies
For a day trader focusing on the highly volatile cryptocurrency market, the DPVO can be an effective tool on a 15-minute chart. Suppose a trader is monitoring Bitcoin (BTC) during a period of high market activity. The DPVO might show an upward crossover of the DVO above its smoothed signal line while also indicating a significant increase in volume. This could signal that strong buying pressure is entering the market, suggesting a potential short-term rally. The trader could enter a long position based on this signal, setting a stop-loss just below the recent support level to manage risk. If the DPVO later shows a crossover in the opposite direction with decreasing volume, it might signal a good exit point, allowing the trader to lock in profits before a potential pullback.
- **Swing Trading Stocks**: For a swing trader looking at stocks, the DPVO could be applied on a daily chart. If the oscillator shows a consistent downward trend along with increasing volume, this could suggest a potential sell-off, providing a sell signal before a significant downturn.
You can look for:
--> Increase in volume - You can use indicators like 24-hour-Volume to have a better visualization
--> Uptrend/Downtrend in the indicator (HH, HL, LL, LH)
--> Confirmation (Buy signal/Sell signal)
--> Correct Price action (Not too steep moves up or down. Stable moves.) (Optional)
--> Confirmation with other indicators (Optional)
Quick image showing you an example of a buy signal on SOLANA:
### Technical Notes
- **Calculation Efficiency**: The DPVO utilizes exponential moving averages (EMAs) in its calculations, which provides a balance between responsiveness and smoothing. EMAs are favored over simple moving averages in this context because they give more weight to recent data, making the indicator more sensitive to recent market changes.
- **Normalization**: The normalization of the DVO by the EMA of the volume ensures that the oscillator remains consistent across different assets and timeframes. This means the indicator can be used on a wide variety of markets without needing significant adjustments, making it a versatile tool for traders.
- **Signal Line Smoothing**: The final signal line is smoothed using a simple moving average (SMA) to reduce noise. The choice of SMA for smoothing, as opposed to EMA, is intentional to provide a more stable signal that is less prone to frequent whipsaws, which can occur in highly volatile markets.
- **Lag and Sensitivity**: Like all moving average-based indicators, the DPVO may introduce a slight lag in signal generation. However, this is offset by the indicator’s ability to filter out market noise, making it a reliable tool for identifying genuine trends and reversals. Adjusting the `fastMA`, `slowMA`, and `signalSmooth` inputs allows traders to fine-tune the sensitivity of the DPVO to match their specific trading strategy and market conditions.
- **Platform Compatibility**: The DPVO is written in Pine Script™ v5, ensuring compatibility with the latest features and functionalities offered by TradingView. This version takes advantage of optimized functions for performance and accuracy in calculations, making it well-suited for real-time analysis.
Conclusion
The "Uptrick: Dual Moving Average Volume Oscillator" is a revolutionary tool that merges volume analysis with price movement to offer traders a more nuanced understanding of market trends and reversals. Its ability to provide clear, actionable signals based on a unique combination of volume and price changes makes it an invaluable addition to any trader's toolkit. Whether you are managing long-term positions or looking for quick trades, the DPVO provides insights that can help refine any trading strategy, making it a standout choice in the crowded field of technical indicators.
Nothing from this indicator or any other Uptrick Indicators is financial advice. Only you are ultimately responsible for your choices.
Stock Market Scout's Buy/Sell Signals - PremiumEnglish description, Türkçe açıklaması da hemen altında.
Stock Market Scout's Buy/Sell Signals - Premium
This indicator combines four different technical analysis tools, enabling investors to analyze market trends and volatility, generate strong buy/sell signals, and detect divergences. Each tool is based on a specific analysis method, allowing investors to customize their strategies according to various market conditions. The strength of this indicator lies in its ability to offer a multi-dimensional analysis by combining various calculation methods.
Indicator 1: Buy/Sell Signals
Objective:
This indicator generates buy and sell signals by utilizing various data derived from price movements. It provides dynamic analysis sensitive to market movements by using adaptive price calculation methods and different volatility measurements.
How It Works:
Adaptive Moving Average (AMA): Calculates a moving average responsive to price movements. This average can quickly adapt to the current market situation and respond faster to trend changes.
Kaufman’s Adaptive Moving Average (KAMA): This average takes into account the direction and volatility of price movements. By adjusting itself according to market conditions, it provides more accurate trend information to investors.
Fractal Adaptive Moving Average (FRAMA): Considers the fractal structure of the price, allowing for more accurate detection of trends and turning points.
Volatility Measurements: The indicator utilizes various volatility measurement methods such as Wilder's ATR, AMA, KAMA, and FRAMA, enabling investors to optimize their buy and sell signals.
Time Interval: Different timeframes can be selected for buy and sell signals, allowing strategies to be more effective in specific timeframes.
Signal Generation: Based on price movements and volatility, buy and sell signals are displayed at specific levels on the chart. These signals are visualized with lines and labels.
Why Use It: This indicator provides dynamic analysis that can quickly adapt to market movements. Investors can make more informed buy and sell decisions by accurately analyzing trend changes and volatility in the market.
Author's Recommendation:
In the Buy/Sell Signals Section, create combinations of the data source types and volatility options I have designed for you to determine the strategy that suits you best; it won't take much of your time. For example: Keep the period settings of the Buy/Sell signals as 10. Data Source Type S_M_S-10, Volatility Type S_M_S-Ozel3 Volatility, Sensitivity Setting: 7 /// S_M_S-5, S_M_S-Ozel3 Volatility, Sensitivity Setting: 5 /// S_M_S-6, S_M_S-Ozel1 Volatility, Sensitivity Setting: 5 /// S_M_S-6, S_M_S-Ozel6 Volatility, Sensitivity Setting: 5, etc.
Stock_Market_Scout's Buy/Sell Signals – Premium adapts to every chart, but as you know, every chart has different dynamics. You can either stick to a single combination or find the most suitable combination for each chart; my recommendation is to find the most appropriate combination for each chart.
Indicator 2: Trend Tracking
Objective:
The Trend Tracking indicator analyzes the strength of market trends using Renko charts. Renko bricks reduce noise caused by price movements, making trends easier to identify.
How It Works:
Renko Brick Size: Users can choose whether to base Renko bricks on trend or volatility. A fixed brick size can be set, or a volatility-based dynamic brick size can be used.
Source Data: The indicator supports various types of data sources, ranging from standard OHLC prices to customized calculations.
Time Interval: Users can select the timeframe for calculating Renko bricks, allowing analysis of how trends change over different periods.
Trend Strength: The indicator calculates the correlation between Renko brick closing prices and price movements over a specific period, determining the strength of the trend based on this correlation. It provides information on the strength and direction of the trend.
Color Coding: When the trend strength reaches specific levels, candles are highlighted with color coding, offering a quick visual reference for the strength of the trend.
Why Use It: The Trend Tracking indicator helps investors to see market trends more clearly and analyze their strength. It is ideal for obtaining clearer signals in trend-based strategies.
Indicator 3: Trend Direction Simulation
Objective:
Trend Direction Simulation analyzes market trends using Renko bricks in three different timeframes. This allows investors to see how trends change and whether they are aligned across various timeframes.
How It Works:
Three Different Timeframes: Users can select three different timeframes, and Renko bricks are calculated separately for each timeframe. This allows the simultaneous analysis of short, medium, and long-term trends.
Source Data: Different data sources can be used for each timeframe, enabling more detailed analysis based on various data sources.
Renko Brick Size: Fixed or dynamic brick sizes can be set for each timeframe, allowing users to customize trend analysis based on different volatility levels.
Trend Simulation: Trend direction is calculated using Renko bricks for each timeframe and is visually displayed on the chart. Additionally, buy/sell signals can be generated to understand whether these trends are aligned.
Buy/Sell Signals: Trend Direction Simulation can generate buy and sell signals under certain conditions, helping to determine whether trends are aligned across different timeframes and identify potential turning points.
Why Use It: This indicator helps understand how trends change and whether they are aligned across different timeframes. Investors can use this simulation to analyze market trends more deeply and optimize their strategies accordingly.
Indicator 4: RSI and Divergences
Objective:
This indicator detects market divergences using the Relative Strength Index (RSI) and displays them on the chart. Divergences help identify potential turning points by determining the momentum of price movements.
How It Works:
RSI Calculation: RSI can be calculated using classic price data or Renko-based data, allowing analysis of how RSI responds under different market conditions.
Divergence Detection: The indicator detects positive and negative divergences between price and RSI. Positive divergence is when the price is falling, but RSI is rising, and negative divergence is when the price is rising, but RSI is falling.
Chart Display: Divergences are shown on the chart with special labels and lines. These visual representations provide information about potential turning points, making quick decision-making easier.
Color Coding: The indicator highlights divergences with color codes. Positive divergences are shown in shades of green, while negative divergences are shown in shades of red.
Why Use It: The RSI and Divergences indicator allows investors to identify market momentum and potential turning points. Divergences are critical in determining when trends may be ending or weakening. This indicator visually highlights such signals, helping investors make more informed decisions.
General Overview and User Guide
How to Use:
Buy/Sell Signals: First, select the data sources and volatility measurement methods you want to use in the Buy/Sell Signals section. Choose the timeframe and monitor the signals on the chart. Using these signals during periods when the trend is strong and volatility is at an appropriate level can help you make more successful trades.
Trend Tracking: Use Renko-based trend analysis in this section to determine the general direction of the market. Since trend strength is shown with color coding, you can quickly understand which direction is experiencing a strong movement. This information can be used to support your current positions or open new ones.
Trend Direction Simulation: Analyze trends in three different timeframes. Check whether the trends are aligned in each timeframe. If the trends are aligned, it may indicate a strong trend continuation. You can use the buy/sell signals obtained from the simulation as part of your strategy.
RSI and Divergences: Detect divergences between price movements and RSI using the RSI indicator. These divergences play a critical role in identifying potential trend reversals. Especially, negative divergences may indicate the end of an uptrend, while positive divergences may signal the end of a downtrend.
Why Use It:
Versatile Analysis: This indicator combines four different analysis tools on a single platform, allowing investors to conduct more in-depth market analysis. Each tool offers a different strategic approach, enhancing the versatility of the indicator.
Customizable Settings: The wide range of settings offered by the indicator allows investors to make customizations that suit their strategies. This enables flexibility and effectiveness under different market conditions.
Visual Aids: The visual signals provided on the chart offer quick and easily accessible information about trend direction, divergences, and buy/sell signals. This helps in making investment decisions quickly and effectively.
Rapid Adaptation to Market Conditions: Adaptive calculation methods quickly adapt to market conditions, producing accurate and timely signals. This helps investors to be more prepared for market fluctuations.
Note for Moderation and Approval Process: This indicator is not just about combining classic analysis tools but is also optimized to work effectively across different timeframes and market conditions. Each component adds value to the indicator, enhancing its uniqueness and utility. The broad customization options and versatile analysis capability offered to investors make this indicator much more than an ordinary combination.
Important Disclaimer: No indicator, algorithm, or strategy can predict the markets with 100% accuracy. This tool is designed to help make informed decisions but should not be used as the sole basis for trading. Always consider using additional analysis and risk management strategies. Blind reliance on any tool can lead to significant financial losses.
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Stock Market Scout'un Al/Sat Sinyalleri - Premium
Bu gösterge, dört farklı teknik analiz aracını bir araya getirerek, yatırımcıların piyasa trendlerini ve volatiliteyi analiz etmelerini, güçlü alım/satım sinyalleri üretmelerini ve uyumsuzlukları tespit etmelerini sağlar. Her bir araç, belirli bir analiz yöntemi üzerine kuruludur ve yatırımcıların çeşitli piyasa koşullarına göre stratejilerini özelleştirmelerine olanak tanır. Bu göstergenin güçlü yanı, çeşitli hesaplama yöntemlerini birleştirerek çok boyutlu bir analiz sunmasıdır.
Gösterge 1: Al/Sat Sinyalleri
Amaç:
Bu gösterge, fiyat hareketlerinden elde edilen çeşitli verileri kullanarak alım ve satım sinyalleri üretir. Gösterge, adaptif fiyat hesaplama yöntemlerini ve farklı volatilite ölçümlerini kullanarak, piyasa hareketlerine duyarlı dinamik bir analiz sağlar.
Nasıl Çalışır:
1. Adaptive Moving Average (AMA): Fiyat hareketlerine duyarlı bir hareketli ortalama hesaplar. Bu, piyasanın mevcut durumuna hızlıca adapte olabilen bir ortalamadır ve trend değişikliklerine daha hızlı yanıt verir.
2. Kaufman’s Adaptive Moving Average (KAMA): Bu ortalama, fiyat hareketlerinin yönünü ve volatilitesini dikkate alır. Piyasa koşullarına göre kendini ayarlayarak, yatırımcılara daha doğru trend bilgisi sağlar.
3. Fractal Adaptive Moving Average (FRAMA): Fiyatın fraktal yapısını dikkate alarak, trendlerin ve dönüş noktalarının daha doğru tespit edilmesine olanak tanır.
4. Volatilite Ölçümleri: Gösterge, Wilder's ATR, AMA, KAMA, FRAMA gibi çeşitli volatilite ölçüm yöntemlerini kullanarak, yatırımcının alım ve satım sinyallerini optimize etmesine olanak tanır.
5. Zaman Aralığı: Alım ve satım sinyalleri için farklı zaman dilimlerinin seçilmesi mümkündür. Bu sayede, stratejilerin belirli zaman dilimlerinde daha etkin çalışması sağlanır.
6. Sinyal Üretimi: Fiyat hareketlerine ve volatiliteye dayalı olarak, grafikte alım ve satım sinyalleri belirli seviyelerde gösterilir. Bu sinyaller, çizgiler ve etiketler ile görselleştirilir.
Neden Kullanılmalı:
Bu gösterge, piyasa hareketlerine hızlıca adapte olabilen dinamik bir analiz sağlar. Yatırımcılar, piyasadaki trend değişikliklerini ve volatiliteyi doğru bir şekilde analiz ederek daha bilinçli alım ve satım kararları verebilirler.
Yazardan tavsiye:
Al/Sat Sinyalleri Bölümü'nde sizler için oluşturduğum veri kaynağı türlerinden ve volatilite çeşitlerinden kombinasyonlar yaparak, size en uygun stratejiyi belirleyin, fazla zamanınızı almaz. Örneğin; Al/Sat sinyallerinin periyot ayarları 10 olarak kalsın. Veri Kaynağı Türü S_M_S-10, Volatilite Türü S_M_S-Ozel3 Volatility, Hassasiyet Ayarı: 7 /// S_M_S-5, S_M_S-Ozel3 Volatility, Hassasiyet Ayarı: 5 /// S_M_S-6, S_M_S-Ozel1 Volatility, Hassasiyet Ayarı: 5 /// S_M_S-6, S_M_S-Ozel6 Volatility, Hassasiyet Ayarı: 5 vb.
Stock_Market_Scout'un Al/Sat Sinyalleri – Premium, her grafiğe uyum sağlar fakat, sizlerin de bildiği üzere her grafiğin dinamikleri farklıdır. İster tek kombinasyon belirleyip onun üzerinden gidin, isterseniz her grafiğe en uygun kombinasyonu bulun, benim tavsiyem her grafiğe en uygun kombinasyonu bulmanızdır.
Gösterge 2: Trend Takibi
Amaç:
Trend Takibi göstergesi, Renko grafikleri kullanarak piyasa trendlerinin gücünü analiz eder. Renko tuğlaları, fiyat hareketlerinden kaynaklanan gürültüyü azaltır ve trendleri daha net bir şekilde görmeyi sağlar.
Nasıl Çalışır:
1. Renko Tuğla Boyutu: Kullanıcılar, trend mi yoksa volatilite mi baz alınarak Renko tuğlalarının nasıl oluşturulacağını seçebilirler. Sabit bir tuğla boyutu belirlenebilir veya volatilite tabanlı dinamik bir tuğla boyutu kullanılabilir.
2. Kaynak Veri: Gösterge, birçok farklı veri kaynağı türünü destekler. Bu veri kaynakları, standart OHLC fiyatlarından, özelleştirilmiş hesaplamalara kadar geniş bir yelpazeyi kapsar.
3. Zaman Aralığı: Kullanıcılar, Renko tuğlalarının hesaplanacağı zaman dilimini seçebilirler. Bu, farklı zaman dilimlerinde trendlerin nasıl değiştiğini analiz etmeye olanak tanır.
4. Trend Gücü: Gösterge, Renko tuğlalarının kapanış fiyatları ile belirli bir dönem boyunca fiyat hareketleri arasındaki korelasyonu hesaplar ve bu korelasyon üzerinden trend gücünü belirler. Korelasyon katsayısına dayalı olarak, trendin gücü ve yönü hakkında bilgi verir.
5. Renk Kodlaması: Trend gücü belirli seviyelerde olduğunda, mumlar renk kodlaması ile vurgulanır. Bu, yatırımcılara trendin gücü hakkında hızlı bir görsel referans sunar.
Neden Kullanılmalı:
Trend Takibi göstergesi, yatırımcıların piyasa trendlerini daha net bir şekilde görmelerine ve bu trendlerin gücünü analiz etmelerine yardımcı olur. Özellikle trend bazlı stratejilerde daha net sinyaller elde etmek için idealdir.
Gösterge 3: Trend Yönü Simülasyonu
Amaç:
Trend Yönü Simülasyonu, üç farklı zaman diliminde Renko tuğlalarını kullanarak piyasa trendlerini analiz eder. Bu sayede, yatırımcılar farklı zaman dilimlerinde trendlerin nasıl değiştiğini ve uyumlu olup olmadığını görebilirler.
Nasıl Çalışır:
1. Üç Farklı Zaman Dilimi: Kullanıcılar, üç farklı zaman dilimi seçebilirler ve her bir zaman dilimi için Renko tuğlaları ayrı ayrı hesaplanır. Bu, kısa, orta ve uzun vadeli trendlerin aynı anda analiz edilmesine olanak tanır.
2. Kaynak Veri: Her bir zaman dilimi için farklı veri kaynakları kullanılabilir. Bu, çeşitli veri kaynaklarına dayalı olarak daha detaylı bir analiz yapmayı mümkün kılar.
3. Renko Tuğla Boyutu: Her zaman dilimi için sabit veya dinamik tuğla boyutları belirlenebilir. Bu, kullanıcıların farklı volatilite seviyelerine göre trend analizini özelleştirmesini sağlar.
4. Trend Simülasyonu: Her bir zaman dilimi için trend yönü, Renko tuğlaları ile hesaplanır ve bu trendler grafikte görsel olarak gösterilir. Ayrıca, bu trendlerin uyumlu olup olmadığını anlamak için alım/satım sinyalleri üretilebilir.
5. Al/Sat Sinyalleri: Trend Yönü Simülasyonu, belirli koşullar altında alım ve satım sinyalleri üretebilir. Bu sinyaller, farklı zaman dilimlerinde trendlerin nasıl uyumlu olduğunu ve potansiyel dönüş noktalarını belirlemeye yardımcı olur.
Neden Kullanılmalı:
Bu gösterge, farklı zaman dilimlerinde trendlerin nasıl değiştiğini ve uyumlu olup olmadığını anlamaya yardımcı olur. Yatırımcılar, bu simülasyon ile piyasa trendlerini daha derinlemesine analiz edebilir ve stratejilerini bu trendlere göre optimize edebilirler.
Gösterge 4: RSI ve Uyumsuzluklar
Amaç:
Bu gösterge, RSI (Relative Strength Index) kullanarak piyasa uyumsuzluklarını tespit eder ve grafikte bu uyumsuzlukları gösterir. Uyumsuzluklar, fiyat hareketlerinin momentumunu belirleyerek olası dönüş noktalarını tespit etmeye yardımcı olur.
Nasıl Çalışır:
1. RSI Hesaplama: RSI, klasik fiyat verileri veya Renko tabanlı veriler kullanılarak hesaplanabilir. Bu sayede, farklı piyasa koşullarında RSI'nın nasıl tepki verdiği analiz edilebilir.
2. Uyumsuzluk Tespiti: Gösterge, fiyat ile RSI arasındaki pozitif ve negatif uyumsuzlukları tespit eder. Pozitif uyumsuzluk, fiyat düşerken RSI'nın yükselmesi; negatif uyumsuzluk ise fiyat yükselirken RSI'nın düşmesi olarak tanımlanır.
3. Grafik Üzerinde Gösterim: Uyumsuzluklar, grafikte özel etiketler ve çizgiler ile gösterilir. Bu görsel gösterimler, yatırımcılara potansiyel dönüş noktaları hakkında bilgi verir ve hızlı karar almayı kolaylaştırır.
4. Renk Kodlaması: Gösterge, uyumsuzlukları renk kodlarıyla vurgular. Pozitif uyumsuzluklar yeşil tonlarında, negatif uyumsuzluklar ise kırmızı tonlarında gösterilir.
Neden Kullanılmalı:
RSI ve Uyumsuzluklar göstergesi, yatırımcılara piyasa momentumunu ve olası dönüş noktalarını tespit etme imkanı sunar. Uyumsuzluklar, özellikle trendlerin sona erdiği veya zayıfladığı noktaları belirlemek için kritik öneme sahiptir. Bu gösterge, bu tür sinyalleri görsel olarak vurgulayarak yatırımcıların daha bilinçli kararlar almasına yardımcı olur.
Genel Değerlendirme ve Kullanım Rehberi
Nasıl Kullanılır:
1. Al/Sat Sinyalleri: İlk olarak, Al/Sat Sinyalleri bölümünde kullanmak istediğiniz veri kaynaklarını ve volatilite ölçüm yöntemlerini belirleyin. Zaman dilimini seçin ve grafik üzerinde sinyalleri izleyin. Bu sinyalleri, trendin güçlü olduğu ve volatilitenin uygun seviyede olduğu dönemlerde kullanmak, daha başarılı işlemler yapmanıza yardımcı olabilir.
2. Trend Takibi: Bu bölümde, Renko tabanlı trend analizini kullanarak piyasanın genel yönünü belirleyin. Trend gücü renk kodlamaları ile gösterildiği için, hangi yönde güçlü bir hareket olduğunu hızlıca anlayabilirsiniz. Bu bilgi, mevcut pozisyonlarınızı desteklemek veya yeni pozisyonlar açmak için kullanılabilir.
3. Trend Yönü Simülasyonu: Üç farklı zaman diliminde trendleri analiz edin. Her bir zaman diliminde trendlerin uyumlu olup olmadığını kontrol edin. Eğer trendler arasında uyum varsa, bu, güçlü bir trendin devam ettiğine işaret edebilir. Simülasyondan elde edilen al/sat sinyallerini, stratejinizin bir parçası olarak kullanabilirsiniz.
4. RSI ve Uyumsuzluklar: RSI göstergesini kullanarak fiyat hareketleri ile RSI arasındaki uyumsuzlukları tespit edin. Bu uyumsuzluklar, olası trend dönüşlerini belirlemede kritik rol oynar. Özellikle, negatif uyumsuzluklar yükseliş trendinin sonuna işaret edebilirken, pozitif uyumsuzluklar düşüş trendinin sona erebileceğini gösterir.
Neden Kullanılmalı:
• Çok Yönlü Analiz: Bu gösterge, tek bir platformda dört farklı analiz aracını birleştirerek yatırımcıların daha derinlemesine bir piyasa analizi yapmalarına olanak tanır. Her bir araç, farklı bir stratejik yaklaşım sunar ve bu da göstergenin çok yönlülüğünü artırır.
• Özelleştirilebilir Ayarlar: Göstergenin sunduğu geniş ayar seçenekleri, yatırımcıların kendi stratejilerine uygun kişiselleştirmeler yapmalarına olanak tanır. Bu, farklı piyasa koşullarında esnek ve etkili olmanızı sağlar.
• Görsel Yardımcılar: Grafik üzerinde sağlanan görsel sinyaller, trend yönü, uyumsuzluklar ve al/sat sinyalleri hakkında hızlı ve kolay erişilebilir bilgi sunar. Bu, yatırım kararlarını hızlı ve etkili bir şekilde almanıza yardımcı olur.
• Piyasa Koşullarına Hızlı Adaptasyon: Adaptif hesaplama yöntemleri, piyasa koşullarına hızla uyum sağlayarak doğru ve zamanında sinyaller üretir. Bu da yatırımcıların piyasa dalgalanmalarına karşı daha hazırlıklı olmasını sağlar.
Moderasyon ve Onay Süreci İçin Not:
Bu gösterge, sadece klasik analiz araçlarını birleştirmekle kalmayıp, farklı zaman dilimlerinde ve piyasa koşullarında etkin bir şekilde çalışacak şekilde optimize edilmiştir. Her bir bileşen, göstergeye ek bir değer katmakta ve bu da göstergenin özgünlüğünü ve faydasını artırmaktadır. Yatırımcılara sunduğu geniş özelleştirme seçenekleri ve çok yönlü analiz kabiliyeti, bu göstergeyi sıradan bir birleşimden çok daha fazlası haline getirir.
Önemli Uyarı:
Hiçbir gösterge, algoritma veya strateji piyasaları %100 doğrulukla tahmin edemez. Bu araç, bilinçli kararlar vermenize yardımcı olmak için tasarlanmıştır, ancak yalnızca ticaret için tek temel olarak kullanılmamalıdır. Daima ek analizler ve risk yönetimi stratejileri kullanmayı düşünün. Herhangi bir araca körü körüne bağlı kalmak, önemli finansal kayıplara yol açabilir.
True Strength Index with Buy/Sell Signals and AlertsThe True Strength Index (TSI) is a momentum oscillator that helps traders identify trends and potential reversal points in the market. Here’s how it works:
1. **Price Change Calculation**:
- **`pc = ta.change(price)`**: This calculates the change in price (current price minus the previous price).
2. **Double Smoothing**:
- **`double_smooth(src, long, short)`**: This function smooths the price change data twice using two Exponential Moving Averages (EMAs):
- The first EMA smooths the raw data.
- The second EMA smooths the result of the first EMA.
- **`double_smoothed_pc`**: The double-smoothed price change.
- **`double_smoothed_abs_pc`**: The double-smoothed absolute price change, which helps normalize the TSI value.
3. **TSI Calculation**:
- **`tsi_value = 100 * (double_smoothed_pc / double_smoothed_abs_pc)`**: This calculates the TSI by dividing the double-smoothed price change by the double-smoothed absolute price change, then multiplying by 100 to scale the value.
- The TSI oscillates around the zero line, indicating momentum. Positive values suggest bullish momentum, while negative values suggest bearish momentum.
4. **Signal Line**:
- **`signal_line = ta.ema(tsi_value, signal)`**: This creates a signal line by applying another EMA to the TSI value. The signal line is typically used to identify entry and exit points.
5. **Buy and Sell Signals**:
- **Buy Signal**: Occurs when the TSI crosses above the signal line (`ta.crossover(tsi_value, signal_line)`), indicating that bullish momentum is strengthening, which might suggest a buying opportunity.
- **Sell Signal**: Occurs when the TSI crosses below the signal line (`ta.crossunder(tsi_value, signal_line)`), indicating that bearish momentum is strengthening, which might suggest a selling opportunity.
6. **Visual Representation**:
- The TSI line and the signal line are plotted on the chart.
- Buy signals are marked with green "BUY" labels below the bars, and sell signals are marked with red "SELL" labels above the bars.
**How to Use It**:
- **Trend Identification**: When the TSI is above zero, it suggests an uptrend; when it's below zero, it suggests a downtrend.
- **Buy/Sell Signals**: Traders often enter a buy trade when the TSI crosses above the signal line and enter a sell trade when the TSI crosses below the signal line.
- **Divergences**: TSI can also be used to spot divergences between the indicator and price action, which can signal potential reversals.
The TSI is particularly useful in identifying the strength of a trend and the potential turning points, making it valuable for trend-following and swing trading strategies.
Standardized PSAR Oscillator [AlgoAlpha]Enhance your trading experience with the "Standardized PSAR Oscillator" 🪝, a powerful tool that combines the Parabolic Stop and Reverse (PSAR) with standardization techniques to offer more nuanced insights into market trends and potential reversals.
🔑 Key Features:
- 🛠 Customizable PSAR Settings: Adjust the starting point, increment, and maximum values for the PSAR to tailor the indicator to your strategy.
- 📏 Standardization: Smooth out volatility by standardizing the PSAR values using a customizable EMA, making reversals easier to identify.
- 🎨 Dynamic Color-Coding: The oscillator changes colors based on market conditions, helping you quickly spot bullish and bearish trends.
- 🔄 Divergence Detection: Automatic detection of bullish and bearish divergences with customizable sensitivity and confirmation settings.
- 🔔 Alerts: Set up alerts for key events like zero-line crossovers and trend weakening, ensuring you never miss a critical market move.
🚀 How to Use:
✨ Add the Indicator: Add the indicator to favorites by pressing the star icon, adjust the settings to suite your needs.
👀 Monitor Signals: Watch for the automatic plotting of divergences and reversal signals to identify potential market entries and exits.
🔔 Set Alerts: Configure alerts to get notified of key changes without constantly monitoring the charts.
🔍 How It Works:
The Standardized PSAR Oscillator is an advanced trading tool that refines the traditional PSAR (Parabolic Stop and Reverse) indicator by incorporating several key enhancements to improve trend analysis and signal accuracy. The script begins by calculating the PSAR, a widely used indicator known for its effectiveness in identifying trend reversals. To make the PSAR more adaptive and responsive to market conditions, it is standardized using an Exponential Moving Average (EMA) of the high-low range over a user-defined period. This standardization helps to normalize the PSAR values, making them more comparable across different market conditions.
To further enhance signal clarity, the standardized PSAR is then smoothed using a Weighted Moving Average (WMA). This combination of EMA and WMA creates an oscillator that not only captures trend direction but also smooths out market noise, providing a cleaner signal. The oscillator's values are color-coded to visually indicate its position relative to the zero line, with additional emphasis on whether the WMA is rising or falling—this helps traders quickly interpret the trend’s strength and direction.
The oscillator also includes built-in divergence detection by comparing pivot points in price action with those in the oscillator. This feature helps identify potential discrepancies between the price and the oscillator, signaling possible trend reversals. Alerts can be configured for when the oscillator crosses the zero line or when a trend shows signs of weakening, ensuring that traders receive timely notifications to act on emerging opportunities. These combined elements make the Standardized PSAR Oscillator a robust tool for enhancing your trading strategy with more reliable and actionable signals
Periodical Trend [BigBeluga]The Periodical Trend indicator is designed to provide a detailed analysis of market trends and volatility. It utilizes a combination of Moving Averages and volatility measures to plot trend line, highlight potential trend reversals, and indicate mean reversion opportunities. The indicator offers customizable display options, allowing traders to adjust for sensitivity, volatility bands, and price deviation visibility.
🔵 KEY FEATURES
● Periodical Trend Analysis
Uses (high + volatility) or (low - volatility) as the foundation for trend analysis with a set period.
// Condition to update the AVG array based on the selected mode
if mode == "Normal"
? bar_index == 122
: bar_index % period == 0
AVG.push(close) // Add the close price to the AVG array
// Update AVG array based on the period and price comparison
if bar_index % period == 0
if close > AVG.last() // If the current close is greater than the last stored value in AVG
AVG.push(low - vlt) // Add the low price minus volatility to the array
if close < AVG.last() // If the current close is lower than the last stored value in AVG
AVG.push(high + vlt) // Add the high price plus volatility to the array
Provides adjustable sensitivity modes ("Normal" and "Sensitive") for different market conditions.
Trend direction is visualized with dynamic color coding based on the relationship between the trend line and price.
● Volatility Bands
Displays upper and lower volatility bands derived from a moving average of price volatility (high-low).
The bands help identify potential breakout zones, overbought, or oversold conditions.
Users can toggle the visibility of the bands to suit their trading style.
● Mean Reversion Signals
Detects mean reversion opportunities when price deviates significantly from the trend line.
Includes both regular and strong mean reversion signals, marked directly on the chart.
Signals are based on oscillator crossovers, offering potential entry and exit points.
● Price Deviation Oscillator
Plots an oscillator that measures the deviation of price from the average trend line.
The oscillator is normalized using standard deviation, highlighting extreme price deviations.
Traders can choose to display the oscillator for in-depth analysis of price behavior relative to the trend.
● Dynamic Trend Coloring
The indicator colors the background on the direction of the trend.
Green indicates bullish trends, while blue indicates bearish trends.
The trend colors adapt dynamically to market conditions, providing clear visual cues for traders.
🔵 HOW TO USE
● Trend Analysis
The trend line represents the current market direction. A green trend line suggests a bullish trend, while a blue trend line indicates a bearish trend.
Use the trend line in conjunction with volatility bands to confirm potential breakouts or areas of consolidation.
● Volatility Bands
Volatility bands offer insight into potential overbought or oversold conditions.
Price exceeding these bands can signal a strong trend continuation or a possible reversal.
● Mean Reversion Strategies
Look for mean reversion signals (regular and strong) when price shows signs of reverting to the trend line after significant deviation.
Regular signals are represented by small dots, while strong signals are represented by larger circles.
These signals can be used as entry or exit points, depending on the market context.
● Price Deviation Analysis
The oscillator provides a detailed view of price deviations from the trend line.
A positive oscillator value indicates that the price is above the trend, while a negative value suggests it is below.
Use the oscillator to identify potential overbought or oversold conditions within the trend.
🔵 USER INPUTS
● Period
Defines the length of the period used for calculating the trend line. A higher period smooths out the trend, while a shorter period makes the trend line more sensitive to price changes.
● Mode
Choose between "Normal" and "Sensitive" modes for trend detection. The "Sensitive" mode responds more quickly to price changes, while the "Normal" mode offers smoother trend lines.
● Volatility Bands
Toggle the display of upper and lower volatility bands. These bands help identify potential areas of price exhaustion or continuation.
● Price Deviation
Toggle the display of the price deviation oscillator. This oscillator shows the deviation of the current price from the trend line and highlights extreme conditions.
● Mean Reversion Signals
Toggle the display of mean reversion signals. These signals highlight potential reversal points when the price deviates significantly from the trend.
● Strong Mean Reversion Signals
Toggle the display of stronger mean reversion signals, which occur at more extreme deviations from the trend.
● Width
Adjust the thickness of the trend line for better visibility on the chart.
🔵 CONCLUSION
The Periodical Trend indicator combines trend analysis, volatility bands, and mean reversion signals to provide traders with a comprehensive tool for market analysis. By offering customizable display options and dynamic trend coloring, this indicator can adapt to different trading styles and market conditions. Whether you are a trend follower or a mean reversion trader, the Periodical Trend indicator helps identify key market opportunities and potential reversals.
For optimal results, it is recommended to use this indicator alongside other technical analysis tools and within the context of a well-structured trading strategy.
RSI For Loop | viResearchRSI For Loop | viResearch
Understanding the fundamental concepts of an indicator before adding it to a system is absolutely crucial. This knowledge will allow you to incorporate it in a logical and effective manner.
Conceptual Foundation and Innovation
The "RSI for Loop" script is a novel approach to enhancing the traditional Relative Strength Index (RSI) by incorporating a loop-based scoring mechanism. This method dynamically evaluates the RSI values within a user-defined range, offering a more nuanced interpretation of market momentum. By systematically scoring the RSI's behavior across multiple thresholds, this indicator provides a robust tool for identifying potential trend reversals and confirmations with increased accuracy and responsiveness.
Technical Composition and Calculation
At the core of the "RSI for Loop" script is a custom scoring system that iterates through a defined range of RSI values. The script calculates the standard RSI based on the chosen source and length parameters. It then applies a loop that evaluates whether the RSI exceeds or falls below each level within the specified range, scoring the results accordingly.
Scoring Mechanism:
Loop Execution: The loop iterates from the "From" to the "To" levels, incrementing by one for each iteration.
Score Calculation: For each level, the script adds or subtracts from the total score based on whether the RSI is above or below the threshold.
Trend Detection: The final score is compared against user-defined threshold levels to identify potential uptrends and downtrends, triggering visual cues and alerts.
Thresholds and Alerts:
Threshold_L and Threshold_S: These user-defined levels determine the sensitivity of the trend detection. The script generates alerts when the score crosses above or below these thresholds, indicating potential long or short opportunities.
EMA Smoothing: The script also offers an EMA smoothing of the final score to provide a clearer trend visualization, reducing noise while retaining sensitivity to market changes.
Features and User Inputs
The "RSI for Loop" script is highly customizable, allowing traders to tailor its behavior to different market conditions and trading strategies:
RSI Length: The standard RSI calculation period can be adjusted to control the responsiveness of the RSI to price movements.
Scoring Range (From and To): Users can define the range of RSI levels that the loop evaluates, offering flexibility in how the market's momentum is assessed.
Thresholds: Customizable threshold levels for detecting uptrends and downtrends allow traders to fine-tune the indicator's sensitivity.
EMA Length: The length of the EMA used for smoothing the score can be adjusted, providing additional control over the trend visualization.
Practical Applications
The "RSI for Loop" script is designed for traders seeking a more sophisticated analysis of market momentum and trend strength. By integrating a loop-based scoring mechanism with traditional RSI calculations, this indicator is particularly effective in:
Identifying Trend Reversals: The loop-based scoring offers an early indication of potential trend reversals, giving traders an edge in volatile markets.
Confirming Trend Strength: The combination of RSI scoring and EMA smoothing helps confirm the strength and direction of trends, improving the timing of entries and exits.
Strategic Market Positioning: The customizable parameters enable traders to adapt the script to various market conditions, enhancing their ability to position themselves effectively.
Advantages and Strategic Value
The "RSI for Loop" script offers a significant advantage by providing a more detailed and dynamic analysis of RSI behavior. The loop-based scoring system reduces the risk of false signals by incorporating multiple RSI levels into the trend assessment. This makes it a valuable tool for traders looking to refine their trend-following strategies with greater precision and adaptability.
Summary and Usage Tips
The "RSI for Loop" script is a powerful enhancement of the traditional RSI, offering traders a more responsive and detailed tool for trend analysis. Incorporating this script into your trading system can help you identify and confirm trends with greater accuracy, improving your ability to make informed trading decisions. Whether you're focused on detecting trend reversals or confirming trend strength, the "RSI for Loop" provides a versatile and reliable solution for traders at all levels.
Please keep in mind the following text: Backtests are based on past results and are not indicative of future performance.
G.O.A.T. Scalper Diagnostics v1OVERVIEW:
The G.O.A.T. Scalper Diagnostics indicator system enables users to discover unorthodox indicator patterns, reading price charts in unusual ways, thus gaining an edge over the majority of market participants they trade against.
CONCEPTS:
Th G.O.A.T. Scalper Diagnostics is a system that aims to satisfy the fundamental condition for successful online trading - providing an edge.
It's a battle between advantages. To take other people's money, successful traders must have an advantage over everybody else. To hope for consistent success in trading, you need to do things differently and see what almost nobody else sees. Of course then you must act on it, and that's where the G.O.A.T. Scalper Diagnostic's mandate ends.
I believe the vast majority of indicators out there show you what everybody else sees. I've always been an indicator guy, I respect and cherish most indicators and I know a good indicator when I see it.
However, although most indicators are great works of art, their practicality is in most cases doubtful. Presenting great information is one thing, but providing an edge over the people you trade against is something different.
What Everybody Else Sees
The G.O.A.T. Scalper Diagnostics is based on indicators most of you have probably heard of and used:
Moving Averages (particularly the Kaufman Moving Average, among others)
ADX and DI
Bollinger Bands
Stochastic (particularly the Stochastic RSI)
Most traders should be well familiar with these classic indicators, they've provided the basis for online indicator trading for decades. But it's also true that due to how popular online trading has become all over the world, one is more and more unable to use these indicators successfully on lower timeframes.
Usually, more noteworthy success is achieved by going up in scale and discovering the timeframe where a particular indicator produces no false signals. Often times these timeframes range from bi-weekly to multi-month scale. In other words, consistently successful low timeframe trading and scalp trading in particular are now almost impossible using indicators.
Traders that dominate the scalping arena are big professional/institutional groups of traders, who have systematic access to the order books of most exchanges. This can be achieved one way or another, but not by individuals, small groups without significant capital or simply traders who lack political/social power and influence in the trading field.
In other words - giant order book traders have an edge over everybody else, who use indicators to trade on lower timeframes.
Through a series of interventions into these classical indicators, the G.O.A.T. System brings them back into the lower timeframe competitive game. Most original formulas are preserved, but these immortal classics are applied in ways popular TA would consider unorthodox.
Ingenious Indicators Built by Creators
The G.O.A.T. Scalper Diagnostics relies on the fundamental work of others. The System is developed on the basis of:
Quadratic Kernel Regression - it uses the publicly published library of Justin Dehorty: www.tradingview.com
PMARP - Price Moving Average Ratio & Percentile, publicly published by "The_Caretaker": www.tradingview.com
These Creators deserve full credit for their fundamental work and are endorsed by the G.O.A.T. Scalper Diagnostics project.
And yet... ingenious and inspired as these tools are, in my humble opinion the general public is presented with a rather unproductive way to apply them. In my own view, these wonderful tools built by JDehorty and The_Caretaker have a massive potential should they be applied and wielded in a different direction. So I tried to bring my vision about them into flesh with the G.O.A.T. Diagnostics.
What the G.O.A.T. Scalper Diagnostics Is and How to Use It
It's a System for new pattern discovery, bringing the disciplines of pattern and indicator trading together.
By using it as a stand-alone, or mixing it with other great indicators, one is able to discover new indicator patterns. Patterns can be compared, matched together and categorized. By applying statistics to differentiated historical pattern groups, we're able to derive their meaning.
Thus, the trader is able to research their own "alphabet" to read the price charts. After categorizing and differentiating pattern groups with statistically predominant meaning, the trader is then able to read into longer scenarios - price set-ups that are harder to detect due to them being stretched in time or misshapen according to the particular situation.
The G.O.A.T. Scalper leverages and encourages group trading, as different traders will probably discover different price "alphabets" for themselves, potentially giving rise to a social economy of sharing and combining "trading languages" based on indicator patterns people have discovered via the G.O.A.T. Diagnostics.
Support/Resistance Trading
The G.O.A.T. Scalper has its own way of deriving Support/Resistance.
Unlike most existing S/R indicators, The Scalper derives Support/Resistance not by measuring price highs, lows and closes, but solely by using momentum and trend strength.
This seems like a much more versatile way to plot S/R during scalping on low timeframes where time is of essence and the trader's view is too narrow to have macro S/R levels in constant consideration.
The Scalper's way to derive S/R in real time and on the go, while staying very relative to important higher timeframe S/R zones, makes it much more desirable than any other S/R indicator I've thus far encountered.
All S/R functionality is derived from the classical ADX and DI indicator. To do this, I use the ADX and DI in an unpopular way. To generate the actual plot of S/R levels I also modify the indicator's code, not by removing functional parts from it, but adding more to it in order to filter the signals it produces.
I can metaphorically describe its action in the following way:
Imagine you're Price action itself;
You're walking through a labyrinth or corridors. You're walking through one straight corridor, and it has a crossing with another corridor ahead;
Very strong wind is blowing along that other corridor. You can't see the wind, but when you reach it and try to move past it, the force of the wind resists your moving ahead and instead pushes you sideways.
At this point, the G.O.A.T. Diagnostics already knows this can only be one thing - resistance.
Orthodox TA and trading demand retests. In my opinion, this deeply rooted tradition wastes time proving the obvious, then wastes time again double-proving the validity of recent past, while scalping opportunities go to waste. Modern successful traders are way ahead of the popular strategy of testing and retesting S/R that almost every trader uses. So-called "Stops hunting" is just one expression of this situation, where wide adoption of the S/R retesting strategy actually lures unsuccessful traders into the schemes of the successful few.
In my own way of trading, I use the G.O.A.T. Diagnostics to take action on Support/Resistance as it's plotted in real time.
But probably my biggest heresy into the DI is my opinion, that the crossings of the +DI and -DI are useless and should actually be discarded.
My research shows that the DIs often show indications of being "oversold", but don't seem to exhibit an "overbought" state. Statistically, I've had much more success basing my TA on that, rather than cross-ups and cross-downs of the DI plot lines.
Therefore I discarded these crossings by presenting the DI part of the ADX and DI as a Heatmap channel rather than crossing lines.
To further enhance the ability of the System to provide S/R analysis, I plot this Heatmap onto an adjustable price offset plots (a percentage above and below current price).
In modern times, the vast majority of trading is done by automatic machines and algorithms. To give a specific example, one can easily notice, that a 5% offset of the BTC 1h price plot leads to remarkably accurate S/R charting. Following the rule to chart a S/R line connecting highs and lows on the 5% price offset often successfully "foresees" valid S/R zones before price ever visits them. Or, the levels were visited so far back in the timeframe's history that orthodox understanding considers them "invalidated" or washed away in the noise of the relevant volume profile.
My explanation for this is simple - I think Grid bots now dominate automatic trading across the majority of exchanges.
In my understanding, by adjusting the percentage offset of current price action I can often discover relevant conglomerations of dominating Grid bot cell parameters and anticipate price reaction. By plotting the DI heatmap on these price action offsets I can use the indicator for my trading decisions.
Heatmaps
Every heatmap produces different series of data. They're not the same.
Bollinger Band heatmap depicts the percentile distance between the Band's extremes.
The price candles heatmap, and the KAMA moving average heatmap, depict the percentile distance between price and the KAMA. So, it's the same thing. However, the percentile of that distance is calculated in two different ways, hence the difference in color in every particular moment. This color discrepancy aims to visualize the "strain" between price action and KAMA, like a soft and hard "springs" that go in unison with each other in sustainable moves, and in dissonance with each other during unsustainable moves.
Price offset heatmap depicts the percentile average of the +DI (above price) and the -DI (below price). A Hot temperature above price and a Cold temperature below price would mean a strong bullish sentiment, and vise versa, while Green would mean neutrality in sentiment.
There are important interplays between different heatmaps. For example, although representing totally different things, a Teal price bar would almost always (according to historical statistics) foreshadow a change in DI's heatmap sentiment. That's just one avenue of correlation between S/R analysis and sentiment analysis using the G.O.A.T. Diagnostics.
Oscillator Chart
In terms of applying Quadratic Kernel Regression, I endorse the natural principle that no center can exist without a periphery, and no periphery can exist without a center. Therefore I try to pay attention not only to the average of the regression's values, but also to the cloud of data points itself.
Following this understanding, I attempt to depict the natural cycles of price converging/diverging towards/from its regression average. To do this, I apply the classic Stochastic formula.
Thus, the Oscillator part of the System depicts the following:
Thin heatmap line displays the cycles of price converging with its quadratic kernel regression average (moving down), and diverging with its regression average (moving up). Its heatmap depicts the percentile of this oscillation.
The wider heatmap line displays the KAMA's cycles of convergence/divergence with its own quadratic kernel regression average. The reason for this is again creating discrepancy - while KAMA is based on price action, its regression data values differ from those of price action's regression. This discrepancy produces useful historic patterns that can be studied statistically.
The thin and wide purple oscillator lines depict the change of slope of price action regression average and KAMA regression average, respectively. Very often change of slope is not detectable with the naked eye, but clearly indicated by the oscillators.
By combining all these elements into a single analysis, a trader can detect hidden trends that are yet to become visible for the rest of market participants.
For example, convergence of price with its quadratic kernel regression average while the slope of the average deteriorates down in most cases (according to statistics) means a sideways consolidation in a downtrend before downtrend continuation. Conversely, deviation of price action from its regression average while the regression average slope deteriorates down usually marks the very beginning of a downtrend.
Bollinger Bands
Bollinger Bands are not modified, but are based on quadratic kernel regression values. Thus, if Bollinger Bands themselves are indicative of volatility, then based on kernel regression values, they should indicate the volatility of change of values in the regression's window.
Again, applying it to both the price and KAMA regression data series, a discrepancy is highlighted that leads to useful historical patterns subject to analysis and categorization.
SOME EXAMPLES
Support / Resistance
Support/Resistance levels are market by White Triangles with dotted lines plotted from them, in real time. The indicator plots Ghost Triangles in anticipation of Support/Resistance, preparing the trader for the eventual confirmation of a zone of interest and signaling price is feeling Support or Resistance pressure.
Dialing the length of the S/R lines to 25 makes the indicator more useful.
Dialing the setting to 500 clearly shows macro S/R zones by conglomerating and bundling individual lines. The thicker the bundling and the confluence of lines, the more significant the zone.
Thus lower timeframe scalping and trading is made more easy, without the need to do nearly as much manual S/R charting. Support/Resistance analysis and plotting is entirely based on a modified ADX.
Heatmap
Sustainable moves are generally marked by Green price color and calm KAMA colors.
Unsustainable moves are usually marked by more extreme colors of price bars and KAMA. Red usually means price is unsustainably distanced from the KAMA, while deep Blue usually means price is undesirably close to the KAMA, foreshadowing a directional distancing.
Usually Teal color of price bars and KAMA foreshadow a change of sentiment of the outside Heatmap sentiment channel.
Red color of the outside channel always signals the direction of the desired sentimental movement, while Blue signals the extent at which the counter-element suffers. Thus, one side being Green, while the other is Blue, often means the Blue will soon evolve into a warmer color, attracting price in that direction. Outside Heatmap channel is entirely based on a modified DI.
Oscillator Chart
An example of Chart Diagnosis using the Oscillator and other elements of the G.O.A.T. Scalper:
First (far left), a Resistance is plotted. This coincides with price bars being Red (distressed state). The thin colorful Oscillator line takes an Up-turn, signifying a period of price moving away from its Quadratic Kernel Regression (pink moving average).
After Price cools down to Green sustainable colors, a Support is plotted. During this time, the thin colorful line is falling down, signifying a period when the distance between price action and its quadratic kernel regression average is decreasing.
During this phase, the thin purple Oscillator line goes up. This signifies the slope of the price regression is restoring to the upside.
Next, the thin colorful line starts going up again, signifying another period of price getting further away from its regression average. This time to the upside.
Resistance is being broken and new support is established. At this point, the thin colorful line starts falling again, signifying distance between price and its regression MA is shortening. This is clearly visible as a sideways consolidation (with a slight tilt up of slope).
A moment comes when all lines - the price and KAMA lines, and price and KAMA regression slopes, all point down. A new down period is clearly starting. This is further indicated by Teal price bars and new Resistance forming. Notice how the external heatmap channel goes into more balanced Green colors with trend enthusiasm calming down.
This analysis may appear to be overwhelming and confusing at first, as these metrics are unorthodox and unpopular. But different aspects of the indicator can be toggled ON/OFF to single them out, which makes observations much simpler for new users. After some time spent discovering personal patterns, or reviewing other users' catalogues with already published pattern libraries, it soon becomes easy to read charts in this new way.
Bollinger Bands
Bollinger Bands provide another way to produce patterns that give users specific chart information.
One noteworthy indication is when the price and KAMA Bollinger Bands separate their value zones. Since the zones of these Bands are based on the kernel regression values of the respective sources, their separation is significant and too often means violent reversals or violent continuations (which usually can be judged using the other metrics the System provides, or additional indicators of choice).
Another noteworthy Bollinger Band pattern is when price action leaves a prolonged trending move.
First phase of the end of a prolonged trending move is the BB zones expanding and doing a significant overlap.
Second stage is price getting reaccepted in the Price BB. This however doesn't mean reacceptance in the KAMA BB and if the moment isn't right, usually leads to bounces and continuations.
The KAMA needs to "make space" for price to get reaccepted into the KAMA BB. While the KAMA is outside its BB or very near to its wall, price reacceptance into it is not very probable. When KAMA withdraws from its BB wall, opening an "entrance on its membrane", that's when price is eligible to get reaccepted into the KAMA BB. That's usually the moment the long awaited consolidation starts and a long trending move is over.
Users of the G.O.A.T. Scalper Diagnostics can discover many more patterns and correlations between patterns within the System. But the System itself can multiply all possible patterns when inspected in the context of additional indicators, leading to vast possibilities of signal and pattern discovery with huge potential.
A very good idea would probably be to use the G.O.A.T. Diagnostics together with the Ichimoku.
Ichimoku has always been famous for its genius simplicity and elegant profoundness, but notorious for its total lack of accuracy, as well as general uselessness on lower timeframes. The G.O.A.T. System has the potential to enhance all of Ichimoku's strengths and cure its weaknesses.
Yet another good idea may be to pair it with kindred indicators, like the Gaussian Channel, which has a stunning performance, but suffers from too high level of generalization. The Diagnostics can provide the intricate texture of price manoeuvres the Gaussian Channel fails to register, while the GC can give the Scalper even more solid context for its patterns.
The worthwhile possibilities seem endless...
Entry Table
I've added a little Entry Table at the bottom right corner. It's designed to potentially help scalpers trade faster, and to visualize a potential trade they're thinking about before they execute it. A Stop Loss is visually plotted in real time to better visualize it's placement in the chart context.
It encourages responsible risk management in its settings:
The user enters the amount of their trading portfolio;
Then specify the percentage of their portfolio they're willing to risk at every trade;
After that the user can chose to specify a flat percentage Stop Loss.
The table will calculate the size of the entry of a market order, so the user only risks the specified percentage of their portfolio should the specified Stop Loss level is hit.
There's also the option to use automatically suggested Stop Loss, based on recent volatility. The actual Stop Loss is calculated 20% away from the actual volatility level, to better protect from unforeseen wicks.
In the current example, the user with a $1000 trading portfolio has to do a $1000 entry to lose 1% of their portfolio ($10) at a 1% Stop Loss.
But the user has to do a $2,525 entry in order to lose 1% of their portfolio (%10) at a much closer Stop Loss which is less than 1%, based on recent volatility.
The Entry Table should be considered as a cosmetic convenience and not a dedicated risk management tool.
CONCLUSION:
The G.O.A.T. Scalper Diagnostics is an indicator System, based on popular, but modified and tweaked versions of indicators like the ADX and DI, Stochastic, Bollinger Bands and MAs. It also leverages the remarkable work of inspired creators: JDehorty's Quadratic Kernel Regression library, and The_Caretaker's PMARP .
The G.O.A.T. Scalper Diagnostics indicator system enables users to discover so-called new "indicator-pattern alphabets", reading price charts in new and unorthodox ways, thus gaining an edge over the majority of market participants they trade against.
The high degree of freedom when discovering new patterns, either within the System itself or correlating its output to external auxiliary indicators, highlights the System's potential for original discoveries leading to highly personalized trading strategies. Exchanging information about personal pattern libraries can potentially also give birth to new private trading communities.
