Support Resistance ImportanceThe Support Resistance Importance indicator is designed to highlight key price levels based on the relationship between fractal occurrences and volume distribution within a given price range. By dividing the range into bins, the indicator calculates the total volume traded at each fractal level and normalizes the values for easy visualization. The normalized values represent an "importance score" for each price range, helping traders identify critical support and resistance levels where price action might react.
Key Features:
Fractal Detection:
The indicator detects Williams Fractals, which are specific price patterns representing potential market reversals. It identifies both upward fractals (potential resistance) and downward fractals (potential support).
Price Range Binning:
The price range is divided into a user-defined number of bins (default is 20). Each bin represents a segment of the total price range, allowing the indicator to bucket price action and track fractal volumes in each bin.
Volume-Based Importance Calculation:
For each bin, the indicator sums up the volume traded at the time a fractal occurred. The volumes are then normalized to reflect their relative importance.
The importance score is calculated as the relative volume in each bin, representing the potential influence of that price range. Higher scores indicate stronger support or resistance levels.
Normalization:
The volume data is normalized to allow for better comparison across bins. This normalization ensures that the highest and lowest volumes are scaled between 0 and 1 for visualization purposes. The smallest volume value is used to scale the rest, ensuring meaningful comparisons.
Visualization:
The indicator provides a table-based visualization showing the price range and the corresponding importance score for each bin.
Each bin is color-coded based on the normalized importance score, with blue or greenish shades indicating higher importance levels. The current price range is highlighted to help traders quickly identify relevant areas of interest.
Trading Utility:
Traders can use the importance scores to identify price levels where significant volume has accumulated at fractals. A higher importance score suggests a stronger likelihood of the price reacting to that level.
If a price moves towards a bin with a high score and the bins above it have much smaller values, it suggests that the price may "pump" up to the next high-scored range, similar to how price drops can occur.
Example Use Case:
Suppose the price approaches a bin with an importance score of 25, and the bins above have much smaller values. This suggests that price may break higher towards the next significant level of resistance, offering traders an opportunity to capitalize on the move by entering long positions or adjusting their stop losses.
This indicator is particularly useful for support and resistance trading, where understanding key levels of price action and volume can improve decision-making in anticipating market reactions.
In den Scripts nach "williams" suchen
Gaussian Acceleration ArrayIndicators play a role in analyzing price action, trends, and potential reversals. Among many of these, velocity and acceleration have held a significant place due to their ability to provide insight into momentum and rate of change. This indicator takes the old calculation and tweaks it with gaussian smoothing and logarithmic function to ensure proper scaling.
A Brief on Velocity and Acceleration: The concept of velocity in trading refers to the speed at which price changes over time, while acceleration is the rate of change(ROC) of velocity. Early momentum indicators like the RSI and MACD laid foundation for understanding price velocity. However, as markets evolve so do we as technical analysts, we seek the most advanced tools.
The Acceleration/Deceleration Oscillator, introduced by Bill Williams, was one of the early attempts to measure acceleration. It helped gauge whether the market was gaining or losing momentum. Over time more specific tools like the "Awesome Oscillator"(AO) emerged, which has a set length on the datasets measured.
Gaussian Functions: Named after the mathematician Carl Friedrich Gauss, the Gaussian function describes a bell-shaped curve, often referred to as the "normal distribution." In trading these functions are applied to smooth data and reduce noise, focusing on underlying patterns.
The Gaussian Acceleration Array leverages this function to create a smoothed representation of market acceleration.
How does it work?
This indicator calculates acceleration based the highs and lows of each dataset
Once the weighted average for velocity is determined, its rate of change essentially becomes the acceleration
It then plots multiple lines with customizable variance from the primary selected length
Practical Tips:
The Gaussian Acceleration Array offers various customizable parameters, including the sample period, smoothing function, and array variance. Experiment with these settings to tailor it to preferred timeframes and styles.
The color-coded lines and background zones make it easier to interpret the indicator at a glance. The backgrounds indicate increasing or decreasing momentum simply as a visual aid while the lines state how the velocity average is performing. Combining this with other tools can signal shifts in market dynamics.
VSA Wyckoff Volume with Bubbles Introducing the "VSA Wyckoff Volume" indicator—a powerful tool for traders who want to visualize and analyze market volume with precision. This indicator leverages Volume Spread Analysis (VSA) and Wyckoff principles to categorize volume into six distinct levels: Ultra High, Very High, High, Normal, Low, and Very Low. Each level is represented by a color-coded bubble on the chart, with bubble sizes adjusted according to the volume intensity. Additionally, the indicator incorporates an ATR-based positioning system, ensuring that each bubble is placed accurately on the chart for easy interpretation. Whether you're an experienced trader or new to the market, this indicator provides clear insights into market activity, helping you make more informed trading decisions.
Volume Spread Analysis (VSA) is a trading methodology that analyzes the relationship between volume, price, and the spread (range) of a price bar. It was developed by Tom Williams, who combined his experience as a trader with principles derived from Richard D. Wyckoff's work on market manipulation.
Key Concepts of VSA:
Volume: The amount of a particular asset traded during a specific time period. In VSA, volume is a key indicator of market activity and is used to understand the strength or weakness behind price movements.
Spread: The range between the high and low of a price bar. The spread, when analyzed in conjunction with volume, can indicate whether the market is being driven by strong or weak hands.
Price: The actual value at which an asset is traded. VSA looks at price in relation to volume and spread to identify the intentions of smart money (large institutional traders).
How VSA Works:
VSA aims to uncover the footprints of smart money by analyzing the volume and price spread. The core idea is that significant price movements accompanied by high volume indicate the involvement of professional traders, while price movements on low volume might suggest that the move lacks conviction or is driven by retail traders.
VSA in Practice:
High Volume, Narrow Spread: This could indicate supply coming into the market as professional traders sell into the buying pressure, leading to potential price weakness.
High Volume, Wide Spread, Price Up: This often suggests strong buying interest, with smart money pushing prices higher.
Low Volume, Wide Spread: A sign of a potential weak market, where price is moving without strong participation, indicating that the move may not be sustainable.
Applications:
VSA is particularly useful for identifying potential turning points in the market, understanding market sentiment, and anticipating future price movements based on the actions of smart money. Traders who use VSA often combine it with other technical analysis tools to build a comprehensive trading strategy.
Your "VSA Wyckoff Volume" indicator, by categorizing volume into distinct levels and visualizing it on the chart, provides an enhanced way to apply VSA principles and understand the underlying market dynamics.
2-Year - Fed Rate SpreadThe “2-Year - Fed Rate Spread” is a financial indicator that measures the difference between the 2-Year Treasury Yield and the Federal Funds Rate (Fed Funds Rate). This spread is often used as a gauge of market sentiment regarding the future direction of interest rates and economic conditions.
Calculation
• 2-Year Treasury Yield: This is the return on investment, expressed as a percentage, on the U.S. government’s debt obligations that mature in two years.
• Federal Funds Rate: The interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight.
The indicator calculates the spread by subtracting the Fed Funds Rate from the 2-Year Treasury Yield:
{2-Year - Fed Rate Spread} = {2-Year Treasury Yield} - {Fed Funds Rate}
Interpretation:
• Positive Spread: A positive spread (2-Year Treasury Yield > Fed Funds Rate) typically suggests that the market expects the Fed to raise rates in the future, indicating confidence in economic growth.
• Negative Spread: A negative spread (2-Year Treasury Yield < Fed Funds Rate) can indicate market expectations of a rate cut, often signaling concerns about an economic slowdown or recession. When the spread turns negative, the indicator’s background turns red, making it visually easy to identify these periods.
How to Use:
• Trend Analysis: Investors and analysts can use this spread to assess the market’s expectations for future monetary policy. A persistent negative spread may suggest a cautious approach to equity investments, as it often precedes economic downturns.
• Confirmation Tool: The spread can be used alongside other economic indicators, such as the yield curve, to confirm signals about the direction of interest rates and economic activity.
Research and Academic References:
The 2-Year - Fed Rate Spread is part of a broader analysis of yield spreads and their implications for economic forecasting. Several academic studies have examined the predictive power of yield spreads, including those that involve the 2-Year Treasury Yield and Fed Funds Rate:
1. Estrella, Arturo, and Frederic S. Mishkin (1998). “Predicting U.S. Recessions: Financial Variables as Leading Indicators.” The Review of Economics and Statistics, 80(1): 45-61.
• This study explores the predictive power of various financial variables, including yield spreads, in forecasting U.S. recessions. The authors find that the yield spread is a robust leading indicator of economic downturns.
2. Estrella, Arturo, and Gikas A. Hardouvelis (1991). “The Term Structure as a Predictor of Real Economic Activity.” The Journal of Finance, 46(2): 555-576.
• The paper examines the relationship between the term structure of interest rates (including short-term spreads like the 2-Year - Fed Rate) and future economic activity. The study finds that yield spreads are significant predictors of future economic performance.
3. Rudebusch, Glenn D., and John C. Williams (2009). “Forecasting Recessions: The Puzzle of the Enduring Power of the Yield Curve.” Journal of Business & Economic Statistics, 27(4): 492-503.
• This research investigates why the yield curve, particularly spreads involving short-term rates like the 2-Year Treasury Yield, remains a powerful tool for forecasting recessions despite changes in monetary policy.
Conclusion:
The 2-Year - Fed Rate Spread is a valuable tool for market participants seeking to understand future interest rate movements and potential economic conditions. By monitoring the spread, especially when it turns negative, investors can gain insights into market sentiment and adjust their strategies accordingly. The academic research supports the use of such yield spreads as reliable indicators of future economic activity.
Six PillarsGeneral Overview
The "Six Pillars" indicator is a comprehensive trading tool that combines six different technical analysis methods to provide a holistic view of market conditions.
These six pillars are:
Trend
Momentum
Directional Movement (DM)
Stochastic
Fractal
On-Balance Volume (OBV)
The indicator calculates the state of each pillar and presents them in an easy-to-read table format. It also compares the current timeframe with a user-defined comparison timeframe to offer a multi-timeframe analysis.
A key feature of this indicator is the Confluence Strength meter. This unique metric quantifies the overall agreement between the six pillars across both timeframes, providing a score out of 100. A higher score indicates stronger agreement among the pillars, suggesting a more reliable trading signal.
I also included a visual cue in the form of candle coloring. When all six pillars agree on a bullish or bearish direction, the candle is colored green or red, respectively. This feature allows traders to quickly identify potential high-probability trade setups.
The Six Pillars indicator is designed to work across multiple timeframes, offering a comparison between the current timeframe and a user-defined comparison timeframe. This multi-timeframe analysis provides traders with a more comprehensive understanding of market dynamics.
Origin and Inspiration
The Six Pillars indicator was inspired by the work of Dr. Barry Burns, author of "Trend Trading for Dummies" and his concept of "5 energies." (Trend, Momentum, Cycle, Support/Resistance, Scale) I was intrigued by Dr. Burns' approach to analyzing market dynamics and decided to put my own twist upon his ideas.
Comparing the Six Pillars to Dr. Burns' 5 energies, you'll notice I kept Trend and Momentum, but I swapped out Cycle, Support/Resistance, and Scale for Directional Movement, Stochastic, Fractal, and On-Balance Volume. These changes give you a more dynamic view of market strength, potential reversals, and volume confirmation all in one package.
What Makes This Indicator Unique
The standout feature of the Six Pillars indicator is its Confluence Strength meter. This feature calculates the overall agreement between the six pillars, providing traders with a clear, numerical representation of signal strength.
The strength is calculated by considering the state of each pillar in both the current and comparison timeframes, resulting in a score out of 100.
Here's how it calculates the strength:
It considers the state of each pillar in both the current timeframe and the comparison timeframe.
For each pillar, the absolute value of its state is taken. This means that both strongly bullish (2) and strongly bearish (-2) states contribute equally to the strength.
The absolute values for all six pillars are summed up for both timeframes, resulting in two sums: current_sum and alternate_sum.
These sums are then added together to get a total_sum.
The total_sum is divided by 24 (the maximum possible sum if all pillars were at their strongest states in both timeframes) and multiplied by 100 to get a percentage.
The result is rounded to the nearest integer and capped at a minimum of 1.
This calculation method ensures that the Confluence Strength meter takes into account not only the current timeframe but also the comparison timeframe, providing a more robust measure of overall market sentiment. The resulting score, ranging from 1 to 100, gives traders a clear and intuitive measure of how strongly the pillars agree, with higher scores indicating stronger potential signals.
This approach to measuring signal strength is unique in that it doesn't just rely on a single aspect of price action or volume. Instead, it takes into account multiple factors, providing a more robust and reliable indication of potential market moves. The higher the Confluence Strength score, the more confident traders can be in the signal.
The Confluence Strength meter helps traders in several ways:
It provides a quick and easy way to gauge the overall market sentiment.
It helps prioritize potential trades by identifying the strongest signals.
It can be used as a filter to avoid weaker setups and focus on high-probability trades.
It offers an additional layer of confirmation for other trading strategies or indicators.
By combining the Six Pillars analysis with the Confluence Strength meter, I've created a powerful tool that not only identifies potential trading opportunities but also quantifies their strength, giving traders a significant edge in their decision-making process.
How the Pillars Work (What Determines Bullish or Bearish)
While developing this indicator, I selected and configured six key components that work together to provide a comprehensive view of market conditions. Each pillar is set up to complement the others, creating a synergistic effect that offers traders a more nuanced understanding of price action and volume.
Trend Pillar: Based on two Exponential Moving Averages (EMAs) - a fast EMA (8 period) and a slow EMA (21 period). It determines the trend by comparing these EMAs, with stronger trends indicated when the fast EMA is significantly above or below the slow EMA.
Directional Movement (DM) Pillar: Utilizes the Average Directional Index (ADX) with a default period of 14. It measures trend strength, with values above 25 indicating a strong trend. It also considers the Positive and Negative Directional Indicators (DI+ and DI-) to determine trend direction.
Momentum Pillar: Uses the Moving Average Convergence Divergence (MACD) with customizable fast (12), slow (26), and signal (9) lengths. It compares the MACD line to the signal line to determine momentum strength and direction.
Stochastic Pillar: Employs the Stochastic oscillator with a default period of 13. It identifies overbought conditions (above 80) and oversold conditions (below 20), with intermediate zones between 60-80 and 20-40.
Fractal Pillar: Uses Williams' Fractal indicator with a default period of 3. It identifies potential reversal points by looking for specific high and low patterns over the given period.
On-Balance Volume (OBV) Pillar: Incorporates On-Balance Volume with three EMAs - short (3), medium (13), and long (21) periods. It assesses volume trends by comparing these EMAs.
Each pillar outputs a state ranging from -2 (strongly bearish) to 2 (strongly bullish), with 0 indicating a neutral state. This standardized output allows for easy comparison and aggregation of signals across all pillars.
Users can customize various parameters for each pillar, allowing them to fine-tune the indicator to their specific trading style and market conditions. The multi-timeframe comparison feature also allows users to compare pillar states between the current timeframe and a user-defined comparison timeframe, providing additional context for decision-making.
Design
From a design standpoint, I've put considerable effort into making the Six Pillars indicator visually appealing and user-friendly. The clean and minimalistic design is a key feature that sets this indicator apart.
I've implemented a sleek table layout that displays all the essential information in a compact and organized manner. The use of a dark background (#030712) for the table creates a sleek look that's easy on the eyes, especially during extended trading sessions.
The overall design philosophy focuses on presenting complex information in a simple, intuitive format, allowing traders to make informed decisions quickly and efficiently.
The color scheme is carefully chosen to provide clear visual cues:
White text for headers ensures readability
Green (#22C55E) for bullish signals
Blue (#3B82F6) for neutral states
Red (#EF4444) for bearish signals
This color coding extends to the candle coloring, making it easy to spot when all pillars agree on a bullish or bearish outlook.
I've also incorporated intuitive symbols (↑↑, ↑, →, ↓, ↓↓) to represent the different states of each pillar, allowing for quick interpretation at a glance.
The table layout is thoughtfully organized, with clear sections for the current and comparison timeframes. The Confluence Strength meter is prominently displayed, providing traders with an immediate sense of signal strength.
To enhance usability, I've added tooltips to various elements, offering additional information and explanations when users hover over different parts of the indicator.
How to Use This Indicator
The Six Pillars indicator is a versatile tool that can be used for various trading strategies. Here are some general usage guidelines and specific scenarios:
General Usage Guidelines:
Pay attention to the Confluence Strength meter. Higher values indicate stronger agreement among the pillars and potentially more reliable signals.
Use the multi-timeframe comparison to confirm signals across different time horizons.
Look for alignment between the current timeframe and comparison timeframe pillars for stronger signals.
One of the strengths of this indicator is it can let you know when markets are sideways – so in general you can know to avoid entering when the Confluence Strength is low, indicating disagreement among the pillars.
Customization Options
The Six Pillars indicator offers a wide range of customization options, allowing traders to tailor the tool to their specific needs and trading style. Here are the key customizable elements:
Comparison Timeframe:
Users can select any timeframe for comparison with the current timeframe, providing flexibility in multi-timeframe analysis.
Trend Pillar:
Fast EMA Period: Adjustable for quicker or slower trend identification
Slow EMA Period: Can be modified to capture longer-term trends
Momentum Pillar:
MACD Fast Length
MACD Slow Length
MACD Signal Length These can be adjusted to fine-tune momentum sensitivity
DM Pillar:
ADX Period: Customizable to change the lookback period for trend strength measurement
ADX Threshold: Adjustable to define what constitutes a strong trend
Stochastic Pillar:
Stochastic Period: Can be modified to change the sensitivity of overbought/oversold readings
Fractal Pillar:
Fractal Period: Adjustable to identify potential reversal points over different timeframes
OBV Pillar:
Short OBV EMA
Medium OBV EMA
Long OBV EMA These periods can be customized to analyze volume trends over different timeframes
These customization options allow traders to experiment with different settings to find the optimal configuration for their trading strategy and market conditions. The flexibility of the Six Pillars indicator makes it adaptable to various trading styles and market environments.
Gator TailGator Tail
Building on Bill William’s Alligator, the Gator Tail provides the trader with a scaled value of deviation between the market price and the rolling average. Meant to be used as a trend reversal indicator, best results when combined with the Awesome Oscillator (AO).
Script Theory Basics
This script is based off of the Bill Williams Alligator indicator. In this indicator, the variance between the ‘jaw’ and the current price represents the deviation of price from its average. Using the alligator, the trader must identify this using their eye only. This script provides a numerical value, charted in histogram format like the Awesome Oscillator. Using the two in tandem allows the trader to identify reversal points and act on positions accordingly.
Script Technicalities
The Gator Tail value is derived as follows. To preface, the ‘jaw’ is a 13 period simple moving average, plotted 8 periods into the future on the chart. A calculation is performed on the ‘jaw’ value to extract its current value less the offset. This value is compared to the current price at the time of printing the equation. Price takes the hl2 value (high + low / 2). The variance between the two values is calculated by subtracting the jaw offset from the price value, and dividing this value by the offset value ( / jaw offset). This value prints as an absolute (irrespective of positive or negative) and gets plotted on the chart for the period. The range of values is 0.00 to 1.00.
Using Gator Tail
Any value above 0.20 is considered to be in the warning range. Values exceeding the 0.35-0.40 range are considered to be highly deviated. Highly deviated Gator Tail values combined with a color reversal from the AO indicate an entry/exit point in the chart.
Using the two indicators on top of one another provides an easy visual cue to identify market reversal points. In the example chart above, we can see the red arrows on the Gator Tail coinciding with the AO reversals to result in the chart movements in the candlestick pane.
Limitations
This indicator does not work well with cryptocurrencies (altcoins or otherwise). The prices in these markets have few ties to macroeconomic trends or performance of an underlying asset. When testing this script, it was not found to be a reliable predictor of market reversals. This script is meant to be used with standard equities (stocks, stock options, currencies) where markets follow a reasonable level of predictability and have some underlying tie to real world events and relativity to historical prices.
price action reversion bands - [SigmaStreet]█ OVERVIEW
The "Price Action Reversion Bands" is designed to help traders identify potential reversal zones through the integration of polynomial regression, fractal analysis, and pinbar detection. This tool overlays directly onto the price chart, providing dynamic visual cues and signals for market reversals. Its unique synthesis of these methodologies offers traders a powerful, multifaceted approach to market analysis.
█ CONCEPTS
Polynomial Regression Bands:
What It Does:
Models the main trend using a polynomial equation to create a middle trend line with dynamic support and resistance bands.
How It Works:
Calculates polynomial coefficients to plot a regression line and adjusts the bands according to market volatility and conditions.
Fibonacci Retracement Levels:
What It Does:
Provides additional lines inside the regression bands at key Fibonacci ratios to identify potential support and resistance areas.
How It Works:
Calculates retracement levels by identifying high and low points over the same period used to calculate the regression bands, applying Fibonacci ratios to these points.
Fractal Analysis:
What It Does: Identifies natural resistance and support levels, indicating potential reversal zones.
How It Works: Detects fractals based on a specific pattern of price action, using Williams Fractal methodology.
Pinbar Detection:
What It Does: Signals potential price reversals through pinbar candlestick patterns.
How It Works: Analyzes
candlesticks to identify pinbars which show a rejection of prices, suggesting possible reversals.
█ ORIGINALITY AND USEFULNESS
The price action reversion bands distinguishes itself through its innovative integration of several advanced analytical methods, providing traders with a holistic view of potential market reversals:
Unique Combination:
While many tools use these techniques in isolation, this indicator synergistically combines polynomial regression, Fibonacci retracement levels, fractal analysis, and pinbar detection. This multi-faceted approach allows traders to assess strength, potential reversal zones, and price rejection more effectively than using traditional single-method indicators.
Advanced Polynomial Regression Application:
Unlike standard regression tools that offer static insights, this indicator dynamically adjusts its regression bands based on real-time market volatility, providing a more accurate reflection of market conditions.
Enhanced Signal Reliability:
By using fractals and pinbars in conjunction to validate each other, the indicator significantly increases the reliability of its reversal signals. This dual-validation method filters out less probable signals, focusing on high-probability trading opportunities.
Customization and Flexibility:
It offers unprecedented customization options, allowing traders to fine-tune the tool according to their trading style and market conditions. Traders can adjust the polynomial degree, the sensitivity of the Fibonacci retracements, and even the definition of what constitutes a significant pinbar, making it highly adaptable to various trading scenarios.
Educational Value:
The indicator not only aids in trading but also serves as an educational tool that helps traders understand the interaction between different types of market analysis techniques. This contributes to a deeper knowledge base and better trading decisions over time.
These distinctive features make the "Price Action Reversion Bands - " not just another indicator but a comprehensive trading tool that enhances decision-making through a well-rounded analysis of market dynamics.
█ HOW TO USE
Installation and Setup:
Apply the indicator to your TradingView chart from the "Indicators" menu.
Select either polynomial regression or Fibonacci retracement as the basis for the bands through the indicator settings.
Reading the Indicator:
Monitor the approach of price to the upper and lower bands which indicate potential reversal zones.
Look for fractal and pinbar formations near these bands for additional signal confirmation.
Customization:
Adjust settings such as the polynomial degree, data window length, and engagement zones to tailor the bands to your trading style.
Modify visual aspects like color and line type for better clarity and personal preference.
█ FEATURES
Dynamic Adjustment:
Bands adjust in real-time based on incoming price data and selected settings.
Multiple Analysis Techniques: Combines several analytical techniques to provide a comprehensive view of potential market movements. The integration of polynomial regression with Fibonacci levels, supplemented by fractal and pinbar analysis, marks this tool as particularly innovative, offering a level of synthesis that enhances predictive accuracy and usability.
User-Friendly Customization: Allows for extensive customization to suit individual trading strategies and preferences.
█ LIMITATIONS
Market Dependency:
Performance may vary significantly across different markets and conditions.
Parameter Sensitivity: Requires fine-tuning of parameters to ensure optimal performance, which might demand a steep learning curve for new users.
█ NOTES
For best results, combine this tool with other forms of analysis, such as fundamental analysis and other technical indicators, to confirm signals and enhance decision-making.
█ THANKS
Special thanks to the PineCoders community the Pine Coders themselves for their foundational contributions to the concepts used in this script. Their pioneering work in the fields of technical analysis and Pine Script development has been invaluable. This script is a testament to the collaborative spirit of the TradingView developer community, integrating analytical techniques with innovative approaches to offer a tool that is both modern and cutting-edge.
Multiple Indicators Screener v2After taking the approval of Mr. QuantNomad
Multiple Indicators Screener by QuantNomad
New lists have been modified and added
Built-in indicators:
RSI (Relative Strength Index): Provides trading opportunities based on overbought or oversold market conditions.
MFI (Cash Flow Index): Measures the flow of cash into or from assets, which helps in identifying buying and selling areas.
Williams Percent Range (WPR): Measures how high or low the price has been in the last time period, giving signals of periods of saturation.
Supertrend: Used to determine market direction and potential entry and exit locations.
Volume Change Percentage: Provides an analysis of the volume change percentage, which helps in identifying demand and supply changes for assets.
How to use:
Users can choose which symbols they want to monitor and analyze using a variety of built-in indicators.
The indicator provides visual signals that help traders identify potential trading opportunities based on the selected settings.
RSI in purple = buy weak liquidity (safe entry).
MFI in yellow = Liquidity
WPR in blue = RSI, MFI and WPR in oversold areas for all.
Allows users to customize the display locations and appearance of the cursor to their personal preferences.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
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فاحص لمؤشرات متعددة مع مخرجات جدول شاملة لتسهيل مراقبة الكثير من العملات تصل الى 99 في وقت واحد
بختصر الشرح
ظهور اللون البنفسجي يعني كمية الشراء ضعف السيولة .
ظهور اللون الازرق جميع المؤشرات وصلة الى مرحلة التشبع البيعي ( دخول آمن )
ظهور اللون الاصفر يعني السيولة ضعفين الشراء ( عكس اتجاه قريب ) == ركزو على هاللون خصوصا مع عملات الخفيفة
RSIBands with BBThis indicator combines three popular technical analysis tools:
RSI Bands: These bands are based on the Relative Strength Index (RSI) and visually represent overbought and oversold zones. The indicator plots upper and lower bands calculated using a user-defined RSI level and highlights potential buying and selling opportunities near these zones.
Bollinger Bands: These bands depict volatility with a moving average (basis line) and upper and lower bands at a user-defined standard deviation away from the basis line. Narrowing bands suggest potential breakouts, while widening bands indicate increased volatility.
Williams Fractals (with Confirmation): This custom function identifies potential reversal points based on price action patterns. The indicator highlights buy/sell signals when a confirmed fractal forms (previous fractal and price crossing a Bollinger Band).
Key Features:
User-defined parameters: You can adjust the RSI level, Bollinger Band standard deviation, and fractal period according to your trading strategy.
Visual confirmation: The indicator highlights confirmed buy/sell signals based on fractal patterns and price crossing Bollinger Bands.
Flexibility: This indicator provides a combination of trend, volatility, and reversal identification tools, allowing for a multi-faceted approach to technical analysis.
How to Use:
Add the indicator to your chart.
Adjust the RSI level, Bollinger Band standard deviation, and fractal period based on your preference.
Look for buy signals when a green background appears and there's a confirmed up fractal (upward triangle) with the price crossing above the upper Bollinger Band.
Look for sell signals when a red background appears and there's a confirmed down fractal (downward triangle) with the price crossing below the lower Bollinger Band.
Disclaimer:
This indicator is for informational purposes only and should not be considered financial advice. Always conduct your own research and due diligence before making any trading decisions.
Awesome Oscillator + Bars count lines + EMA LineThe indicator includes an Awesome Oscillator with 2 vertical lines at a distance of 100 and 140 bars from the last bar to determine the third Elliott wave by the maximum peak of AO in the interval from 100 to 140 bars according to Bill Williams' Profitunity strategy. Additionally, a faster EMA line is displayed that calculates the difference between 5 Period and 34 Period Exponential Moving Averages (EMA 5 - EMA 34) based on the midpoints of the bars, just like AO calculates the difference between Simple Moving Averages (SMA 5 - SMA 34).
In the indicator settings, you can change the number of bars for vertical lines and any parameters for AO and EMA - method (SMA, Smoothed SMA, EMA and others), length, source (open, high, low, close, hl2 and others).
***
Индикатор включает Awesome Oscillator с 2 вертикальными линиями на расстоянии 100 и 140 баров от последнего бара, чтобы определить третью волну Эллиота по максимальному пику AO в интервале от 100 до 140 баров по стратегии Profitunity Билла Вильямса. Дополнительно отображается более быстрая линия EMA, которая вычисляет разницу между 5 Периодной и 34 Периодной Экспоненциальными Скользящими Средними (EMA 5 - EMA 34) по средним точкам баров (hl2), точно так же, как AO вычисляет разницу между Простыми Скользящими Средними (SMA 5 - SMA 34).
В настройках индикатора вы можете изменить количество баров для вертикальных линий и любые параметры для AO и EMA – метод (SMA, Smoothed SMA, EMA и другие), длину, источник (open, high, low, close, hl2 и другие).
[The_lurker] RSI-MFI-WPR Indicatoris an advanced trading indicator developed for the TradingView platform, which synergistically refers to the insights of three popular technical analysis tools: the Relative Strength Index (RSI), the Money Flow Index (MFI) and the Williams Indicator. Percentage range (WPR). This indicator is precisely designed to help traders identify potential buy and sell opportunities by accurately interpreting market momentum, volume, and price position relative to recent highs and lows.
The primary goal of the RSI-MFI-WPR Indicator is to provide a comprehensive tool that leverages the combined power of RSI, MFI and WPR to detect overbought and oversold conditions, indicating potential market reversal points. This multi-faceted approach aims to provide traders with a more robust framework for making informed decisions, and enhance their trading strategy through multi-indicator analysis.
Explanation of the indicator conditions
The essence of this indicator lies in its strategic conditions that indicate possible entry and exit points:
Oversold Condition (Condition): This is determined when the RSI and MFI are below 30, and the WPR drops below -91, indicating a strong oversold condition in the market. Such a scenario usually indicates a buying opportunity, assuming that the market may rebound from this oversold state.
Divergence Condition (Condition 1): Checks if the MFI exceeds 2.1 times the RSI. This unique case aims to highlight instances where there is a significant inflow of funds into an asset, which is not proportionately reflected in its RSI, which may indicate an upcoming price increase or highlight an unusual market situation for further From the analysis.
Overbought Warning (conditionExit): An exit signal is triggered when both the MFI and RSI exceed 85, and the WPR is above -15. This combination indicates an overbought condition in the market, indicating that the asset may be overvalued and that a price correction or reversal may be imminent, thus indicating a potential selling opportunity or a warning of initiating new positions.
Application and visualization
The RSI-MFI-WPR Indicator not only provides numerical insights but also displays these conditions on a TradingView chart. Through the use of color coding and plotting, it provides traders with an intuitive way to distinguish market conditions, enabling quick and effective decision-making. Incorporating alert conditions ensures that traders are immediately notified of important market events, in line with their strategic trading objectives.
Planning and alerts in “RSI-MFI-WPR Indicator”
Collected alert status
CombinedAlertCondition is a logical statement that combines all individual conditions (Condition, Condition1, Condition Exit, and The_lurkerMFI_oversold) into a single alert trigger. This condition becomes true and triggers an alert if any of the conditions specified for potential trading opportunities or warnings are met. It is designed to provide a comprehensive alert system that informs the trader of any important signal identified by the indicator, including entry and exit signals as well as oversold conditions.
Visual indicators
Background color for oversold condition: The script sets the background color to a specific shade of blue ( with 90% transparency) when the custom MFI indicates an oversold condition (The_lurkerMFI_oversold). This visual signal helps traders quickly recognize periods when the market may be undervalued and potentially poised for a rebound.
Drawing warning and exit signs:
Entry Signals: For Condition and Condition 1, which identify potential entry points, the indicator draws upward pointing triangles below the price bars. These triangles are colored in specific shades to differentiate signals from a fundamental oversold condition and a divergence condition, making it intuitive for traders to recognize the type of signal.
Exit Signals: For an exit condition, which indicates overbought conditions that may indicate an impending price correction, red downward-pointing triangles are drawn above the price bars. This serves as a clear visual warning to consider exiting positions or proceed with caution.
Configure the alarm
The script uses the conditional alert function to create an alert based on the AlertCondition combination. When this condition is met, any of the predefined signals are indicated
Conclusion
In short, the “RSI-MFI-WPR Indicator” stands out as a versatile and dynamic indicator that enriches a trader's toolkit by combining the analytical strengths of RSI, MFI and WPR. By setting clear conditions for entry and exit points from the market, it facilitates a proactive approach to trading, based on a detailed examination of market dynamics. This indicator demonstrates how mixing multiple technical tools can lead to more informed and accurate market analysis, with the aim of elevating the trading experience on Tradingview.
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هو مؤشر تداول متقدم تم تطويره لمنصة TradingView،
والذي يشير بشكل تآزري إلى رؤى ثلاث أدوات تحليل فني شائعة:
1- مؤشر القوة النسبية (RSI)،
2- مؤشر تدفق الأموال (MFI)،
3- مؤشر ويليامز. نطاق النسبة المئوية (WPR).
تم تصميم هذا المؤشر بدقة لمساعدة المتداولين على تحديد فرص الشراء والبيع المحتملة من خلال التفسير الدقيق لزخم السوق وحجمه وموقع السعر بالنسبة إلى الارتفاعات والانخفاضات الأخيرة.
الهدف الأساسي لمؤشر RSI-MFI-WPR هو توفير أداة شاملة تستفيد من القوة المشتركة لمؤشر RSI وMFI وWPR للكشف عن ظروف ذروة الشراء والمبالغة في البيع، مما يشير إلى نقاط انعكاس السوق المحتملة. ويهدف هذا النهج متعدد الأوجه إلى تزويد المتداولين بإطار أكثر قوة لاتخاذ قرارات مستنيرة، وتعزيز استراتيجية التداول الخاصة بهم من خلال تحليل متعدد المؤشرات.
شرح شروط المؤشر
يكمن جوهر هذا المؤشر في ظروفه الإستراتيجية التي تشير إلى نقاط الدخول والخروج المحتملة:
حالة ذروة البيع (الحالة): يتم تحديد ذلك عندما يكون مؤشر القوة النسبية RSI وMFI أقل من 30، وينخفض WPR إلى أقل من -92، مما يشير إلى حالة ذروة بيع قوية في السوق. يشير مثل هذا السيناريو عادةً إلى فرصة شراء، على افتراض أن السوق قد ينتعش من حالة ذروة البيع هذه.
شرط الاختلاف (الشرط 1): يتحقق مما إذا كانت السيولة تتجاوز 2.1 مرة مؤشر القوة النسبية. تهدف هذه الحالة الفريدة إلى تسليط الضوء على الحالات التي يوجد فيها تدفق كبير للأموال إلى أحد الأصول، وهو ما لا ينعكس بشكل متناسب في مؤشر القوة النسبية الخاص به، مما قد يشير إلى زيادة قادمة في الأسعار أو يسلط الضوء على وضع غير عادي في السوق لمزيد من التحليل.
تحذير ذروة الشراء (conditionExit): يتم إطلاق إشارة خروج عندما يتجاوز مؤشر MFI ومؤشر القوة النسبية 85، ويكون WPR أعلى من -15. يشير هذا المزيج إلى حالة ذروة الشراء في السوق، مما يشير إلى أن الأصل قد يكون مبالغًا في قيمته وأن تصحيح السعر أو انعكاسه قد يكون وشيكًا، مما يشير إلى فرصة بيع محتملة أو تحذير ببدء مراكز جديدة.
التطبيق والتصور
لا يوفر مؤشر RSI-MFI-WPR رؤى رقمية فحسب، بل يعرض أيضًا هذه الشروط على مخطط TradingView. من خلال استخدام الترميز اللوني والتخطيط، فإنه يوفر للمتداولين طريقة بديهية للتمييز بين ظروف السوق، مما يتيح اتخاذ قرارات سريعة وفعالة. يضمن دمج شروط التنبيه إخطار المتداولين على الفور بأحداث السوق المهمة، بما يتماشى مع أهدافهم التجارية الإستراتيجية.
التخطيط والتنبيهات في مؤشر RSI-MFI-WPR
حالة التنبيه التي تم جمعها ( CombinedAlertCondition ) عبارة منطقية تجمع كل الشروط الفردية
Condition، Condition1، Condition Exit، وThe_lurkerMFI_oversold في مشغل تنبيه واحد.
ليصبح هذا الشرط صحيحًا ويطلق تنبيهًا في حالة استيفاء أي من الشروط المحددة لفرص التداول المحتملة أو التحذيرات. وهو مصمم لتوفير نظام تنبيه شامل يُعلم المتداول بأي إشارة مهمة يحددها المؤشر، بما في ذلك إشارات الدخول والخروج بالإضافة إلى ظروف ذروة البيع.
المؤشرات البصرية
لون الخلفية لحالة ذروة البيع: يقوم البرنامج النصي بتعيين لون الخلفية إلى ظل معين من اللون الأزرق (بشفافية 90٪) عندما تشير مؤسسة التمويل الأصغر المخصصة إلى حالة ذروة البيع (The_lurkerMFI_oversold). تساعد هذه الإشارة المرئية المتداولين على التعرف بسرعة على الفترات التي قد تكون فيها السوق مقومة بأقل من قيمتها الحقيقية ومن المحتمل أن تكون مستعدة للانتعاش.
رسم علامات التحذير والخروج:
إشارات الدخول: بالنسبة للحالة والحالة 1، التي تحدد نقاط الدخول المحتملة، يرسم المؤشر مثلثات تشير إلى الأعلى أسفل أشرطة السعر. يتم تلوين هذه المثلثات بظلال محددة لتمييز الإشارات عن حالة ذروة البيع الأساسية وحالة التباعد، مما يجعل من السهل على المتداولين التعرف على نوع الإشارة.
إشارات الخروج: بالنسبة لحالة الخروج، التي تشير إلى ظروف ذروة الشراء التي قد تشير إلى تصحيح وشيك للسعر، يتم رسم مثلثات حمراء تشير إلى الأسفل فوق أشرطة السعر. يعد هذا بمثابة تحذير مرئي واضح للنظر في الخروج من المواقف أو المضي قدمًا بحذر.
تكوين المنبه
يستخدم البرنامج النصي وظيفة التنبيه الشرطي لإنشاء تنبيه بناءً على مجموعة AlertCondition. عند استيفاء هذا الشرط، تتم الإشارة إلى أي من الإشارات المحددة مسبقًا
خاتمة
باختصار، يبرز "مؤشر RSI-MFI-WPR" كمؤشر متعدد الاستخدامات وديناميكي يثري مجموعة أدوات المتداول من خلال الجمع بين نقاط القوة التحليلية لـ RSI وMFI وWPR. ومن خلال وضع شروط واضحة لنقاط الدخول والخروج من السوق، فإنه يسهل اتباع نهج استباقي للتداول، بناءً على فحص تفصيلي لديناميكيات السوق. يوضح هذا المؤشر كيف أن الجمع بين أدوات فنية متعددة يمكن أن يؤدي إلى تحليل سوق أكثر استنارة ودقة، بهدف رفع مستوى تجربة التداول على Tradingview.
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باختصار :
1- ظهور المثلث الاصفر يعني تواجد سيولة كبيره ( مفيد جدا لعملات البومب ) .
2- ظهور المثلث الأبيض يعني وصول الى مستويات تشبع البيع وهي فرصة ممتازه للشراء ( منطقة دخول ).
3- ظهور خط افقي يعني قرب عكس الاتجاه الى أعلى ( منطقة دخول ) .
4- ظهور مثلث أحمر يعني قرب عكس الاتجاه الى أسفل ( منطقة خروج ) .
5- التنبيه يعمل على جميع ما ذكر أعلاه في تنبيه واحد حتى تسهل المراقبة .
6- أفضل فواصل الاستخدام ( 4 ساعات ، 12 ساعه ، يوم ) .
RSI MFI WPR Combo [The_lurker]The "RSI MFI WPR Combo" is a sophisticated trading indicator developed for the TradingView platform, which synergistically combines the insights of three renowned technical analysis tools: the Relative Strength Index (RSI), the Money Flow Index (MFI), and the Williams Percent Range (WPR). This indicator is meticulously designed to assist traders in identifying potential buying and selling opportunities through the nuanced interpretation of market momentum, volume, and price position relative to recent highs and lows.
Purpose
The primary objective of the "RSI MFI WPR Combo" indicator is to offer a comprehensive tool that leverages the combined power of RSI, MFI, and WPR to detect overbought and oversold conditions, signaling potential reversal points in the market. This multifaceted approach aims to provide traders with a more robust framework for making informed decisions, enhancing their trading strategy with a multi-indicator analysis.
Indicator Conditions Explained
The core of this indicator lies in its strategic conditions that signal potential entry and exit points:
Oversold Condition (condition): This is identified when the MFI and RSI are both below 30, and the WPR falls below -91, suggesting a strong oversold market state. Such a scenario typically indicates a buying opportunity, assuming the market might rebound from this excessively sold condition.
Divergence Condition (condition1): It checks if the MFI exceeds 1.93 times the RSI. This unique condition aims to spotlight instances where there's a significant influx of money into an asset, which is not proportionately reflected in its RSI, potentially signaling an upcoming price increase or highlighting an unusual market situation for further analysis.
Overbought Warning (conditionExit): The exit signal is triggered when both the MFI and RSI exceed 85, and the WPR is above -15. This combination is indicative of an overbought market condition, suggesting the asset might be overvalued and a price correction or reversal could be imminent, hence signaling a potential selling opportunity or a caution against initiating new positions.
Application and Visualization
The "RSI MFI WPR Combo" not only provides numerical insights but also visualizes these conditions on the TradingView chart. By employing color-coding and plotting shapes, it offers traders an intuitive way to discern market states, enabling quick and effective decision-making. The integration of alert conditions ensures that traders are promptly notified of significant market events, aligning with their strategic trading objectives.
Plotting and Alerts in "RSI MFI WPR Combo"
Combined Alert Condition
The combinedAlertCondition is a logical statement that consolidates all individual conditions (condition, condition1, conditionExit, and The_lurkerMFI_oversold) into a single alert trigger. This condition becomes true and triggers an alert if any of the specified conditions for potential trading opportunities or warnings are met. It's designed to provide a comprehensive alert system that notifies the trader of any significant signal identified by the indicator, encompassing both entry and exit signals as well as oversold conditions.
Visual Indicators
Background Color for Oversold Condition: The script sets the background color to a specific shade of blue (#13c2e9 with 90% transparency) when the custom MFI indicates an oversold condition (The_lurkerMFI_oversold). This visual cue helps traders quickly identify periods when the market might be undervalued and potentially poised for a rebound.
Plotting Warning and Exit Signals:
Entry Signals: For the condition and condition1, which identify potential entry points, the indicator plots upward-pointing triangles below the price bars. These triangles are colored in specific shades to differentiate between the signals from the basic oversold condition and the divergence condition, making it visually intuitive for traders to recognize the signal type.
Exit Signals: For the conditionExit, signaling overbought conditions that might suggest an imminent price correction, downward-pointing red triangles are plotted above the price bars. This acts as a clear visual warning to consider exiting positions or to proceed with caution.
Alert Configuration
The script utilizes the alertcondition function to create an alert based on the combinedAlertCondition. When this condition is met, indicating any of the predefined signa
Conclusion
In summary, the "RSI MFI WPR Combo" stands out as a versatile and dynamic indicator that enriches a trader's toolkit by combining the analytical strengths of RSI, MFI, and WPR. By delineating clear conditions for market entry and exit points, it facilitates a proactive approach to trading, grounded in a detailed examination of market dynamics. This indicator exemplifies how blending multiple technical tools can lead to a more informed and nuanced market analysis, aiming to elevate the trading experience on the TradingView platform
Optimized Alligator RateA less conventional way of utilizing the "Williams Alligator," the Optimized Rate uses the rate of change of the averages within the Alligator in order to potentially forecast with greater accuracy. The true optimization comes from the calculation of the "McGinley Dynamic" to create zero lag smoothed moving averages. It's important to note the standard Alligator has always used the SMMA. Lastly, divergence between the rates has been calculated in plotting for clarification.
Oscillator Volume Profile [Trendoscope®]The Oscillator Volume Profile indicator is designed to construct a volume profile based on predefined oscillator levels. It integrates volume data with oscillator readings to offer a unique perspective on market dynamics.
🎲 Selectable Oscillators:
Users can select from an array of oscillator options for the basis of the volume profile, including:
Relative Strength Index (RSI)
Chande Momentum Oscillator (CMO)
Center of Gravity (COG)
Money Flow Index (MFI)
Rate of Change (ROC)
Commodity Channel Index (CCI)
Stochastic Oscillator (Stoch)
True Strength Index (TSI)
Williams %R (WPR)
The length parameters - Length, Fast Length, Slow Length allows users to define the period over which the chosen oscillator is calculated, tailoring the sensitivity of the indicator to their trading strategy.
🎲 Dynamic Overbought/Oversold Ranges:
This indicator enhances traditional concepts by introducing dynamic overbought and oversold levels. These adaptable thresholds are calculated using various methods, including:
🎯 Highest/Lowest Range Method : This method establishes the range based on the highest and lowest values of the oscillator within the last N bars.
🎯 Moving Average Range Method : The range is derived from a moving average of the oscillator, providing a smoothed threshold that reflects more recent market conditions.
In addition to these methods, the indicator incorporates a unique 'Sticky Border' feature:
🎯 Sticky Border: With this option enabled, the dynamic ranges maintain their levels until the oscillator breaks out of the range. Once a breakout occurs, the levels are recalculated and updated. This mechanism ensures that the borders remain consistent and relevant, only adjusting to significant market movements that warrant a recalculation.
Users can select their preferred method for determining dynamic ranges, allowing for a customized approach that aligns with their analysis and trading strategy. The sticky border feature further refines this functionality, offering continuity until a decisive market move occurs.
🎲 Volume Profile Calculation Parameters:
🎯 Trend Filter: The indicator provides a versatile trend filter with four selectable options:
Uptrend: The volume profile is calculated when the oscillator indicates an uptrend.
Downtrend: The volume profile is calculated when the oscillator indicates a downtrend.
Any: The volume profile is calculated regardless of the trend.
External: Users can input values from an external indicator. The volume profile is then calculated only when the external indicator's value is non-zero, integrating external analysis into the volume profile construction.
🎯 Precision: Users have the option to define the precision for calculating the volume profile, which is crucial due to the varying scales of different oscillators (e.g., some oscillators range from 0 to 100, while others from -1 to 1). Selecting an appropriate precision ensures that the volume profile is accurately aligned with the minimal price range significant to the chosen oscillator. This setting requires user intervention for optimal configuration, as automatic calculation is not feasible due to the diverse nature of oscillator ranges.
🎯 Number of Bars: Users can select a specific number of bars for volume profile calculation, or opt to include all available historical bars for a comprehensive profile.
🎲 Selecting the right precision:
Users must select the right precision based on their choice of indicator. For example, RSI values range from 0-100. Hence, the default precision of 1 work fine on RSI as the volume profiles are plotted from 0 to 100 at the interval of 0.1
But, the default precision of 1 will not be ok on TSI because TSI values range from -1 to 1. Hence, using 1 as precision will result in very less volume profile lines as shown below.
Due to this, it is necessary to increase the precision for oscillators such as TSI where the range between highest and lowest value is far less. Once we set the precision to 2, we can see more appropriate volume profile division.
🎲 Note of thanks:
This publication uses polyline feature for drawing volume profiles. The advantage of using polyline is that we can overcome max 500 lines issue that we face by using the regular line objects. More details of polyline can be found in the tradingview blog post
Further, using polyline for display of volume profiles is inspired by the publications of fikira and KioseffTrading
[blackcat] L2 Market Facilitation IndexThe Market Facilitation Index (MFI) is a technical indicator that measures the ease with which the market is able to move based on the volume traded. It was developed by Dr. Bill Williams as part of his trading system.
The MFI is calculated by taking into account the difference between the current typical price (average of high, low, and close) and the previous typical price, multiplied by the volume. This difference is then divided by the sum of volume over a specified period.
The MFI helps traders to identify periods of high or low market facilitation. High MFI values indicate that the market is facilitating trade and moving with ease, suggesting increased activity and potential trading opportunities. Conversely, low MFI values suggest a lack of market facilitation, indicating decreased activity and potential consolidation or sideways movement.
Traders can use the MFI in conjunction with other technical indicators and price analysis techniques to make informed trading decisions. It can be used to confirm trends, identify potential reversals, and assess the strength of market movements.
The Market Facilitation Index provides valuable insights into market dynamics, as it focuses on the relationship between price movement and trading volume. By incorporating volume data into its calculations, the MFI captures the impact of volume on market activity.
This indicator is particularly useful in identifying periods of market consolidation or range-bound trading. When the MFI shows low values, it suggests that market participants are hesitant and there may be a lack of clear trends. Traders can interpret this as a potential signal to avoid entering new positions or to tighten their stop-loss levels.
Conversely, when the MFI indicates high values, it signifies that the market is experiencing high levels of activity and price movement. This can be an indication of a strong trend, and traders may look for opportunities to enter positions in line with the prevailing market direction.
In addition to identifying market trends and potential reversals, the MFI can also help traders gauge the strength of price movements. By comparing the MFI values during different price swings or trends, traders can assess whether the market is experiencing increasing or decreasing levels of facilitation. This information can be valuable in determining the overall momentum and sustainability of a trend.
It's important to note that while the Market Facilitation Index can be a useful tool in technical analysis, it should not be used in isolation. Like any indicator, it has its limitations and may not always accurately reflect market conditions. Therefore, it is advisable to combine the MFI with other technical indicators, chart patterns, and fundamental analysis to gain a more comprehensive understanding of the market.
In conclusion, the Market Facilitation Index is a powerful technical indicator that measures the ease with which the market is able to move based on trading volume. It helps traders identify periods of high or low market facilitation, confirm trends, identify potential reversals, and assess the strength of market movements. However, it should be used in conjunction with other analysis methods for comprehensive market evaluation.
Bunch of WillyThe indicator allows you to track overbought/oversold conditions using the Williams indicator on several higher timeframes of the same ticker on one chart. Based on the relative position of the lines of different timeframes and their position relative to the exponential moving average, you can track the occurrence of situations of simultaneous overbought/oversold of several timeframes, which is a cleaner reversal signal than overbought/oversold on just one chart timeframe. So far the script itself does not indicate these points, but perhaps in one of the next updates I will fix this.
In addition, the exponential moving average can be used to determine the direction of the trend.
Индикатор позволяет на одном графике отслеживать перекупленность/перепроданость по индикатору Вильямса на нескольких более высоких таймфреймах того же тикера. Основываясь на взаимном положении линий разных таймфреймов и их положении относительно экспоненциальной скользящей средней можно отслеживать возникновение ситуаций одновременной перекупленности/перепроданности нескольких таймфреймов что является более чистым разворотным сигналом чем перекупленность/перепроданность на одном лишь таймфрейме графика. Пока скрипт сам не обозначает эти моменты, но возможно в одном из следующих обновлений я это исправлю.
Кроме того по экспоненциальной скользящей средней можно определять направление тренда.
Nadaraya-Watson Envelope: Modified by YosietRange Filter indicator based on the LuxAlgo Nadaraya-Watson Envelope () indicator adding the SMA 30 high and SMA 7 low to predict the changes of the trends lines price.
WARNING: This indicator, as the same as the original, repaints the chart and could affect the exact values of the prices.
SMA Low 7 was identified using tensorflowJS years ago as accurate and abstract rsi indicator
SMA High 30 was identified using tensorflowJS years ago as accurate and strong trend line
This two SMAs were added to the original indicator Nadaraya-Watson to predict the exact points where the price will change direction or will re-test the trend to continue on.
The signals will act as the Williams Fractals, replacing the original signals of the indicator.
For those ICT/SMC traders, the bands and SMAs can toggle off in the settings of this indicator.
SETTINGS
Can set the source of the UPPER band indivuadilly
Can set the source of the LOWER band indivuadilly
Can toggle the visibility of the bands, this will not affect the calculations
Can toggle the visibility of SMAs
ALERTS AND SIGNALS
When the SMA LOW 7 cross under or over the bands, will trigger a signal orange
When the SMA 30 High cross over the upper band, will trigger a short signal purpple
HOW TO USE IT
If the both signals appears (sma 7 low and sma 30 high) crossing the upper band at the same point, this means that the price will drop strongly.
If the sma 7 low cross signal (orange triangle) appears under the price and lower band, means that the price will go up.
The separation of the signals from the chart will suggest the force of the movement. While more distance be, strongest reaction of the price.
DISCLAIMER : This indicator or script does not imply or constitute financial advice, investment advice, trading advice or any other type of advice or recommendation by and for TradingView. Use it at your own risk and your own decision.
Seasonal - Trading Day of MonthIndicator Description: Historical Comparative Price Analysis
The Historical Comparative Price Analysis indicator serves as a comprehensive tool for evaluating price changes over distinct trading periods. By configuring the date settings, the indicator captures the percentage change data for each individual day or month, facilitating a clear historical perspective. Each year is represented in a separate row, allowing for a side-by-side presentation of corresponding data for the same trading day or week.
Within the "Summary" row, the indicator calculates the average change for each selected trading day within a specified time frame. This calculation, rooted in Larry Williams' concept, considers trading days rather than calendar days. The "Summary" row provides a quick insight into whether the current price change exceeds or falls short of the average change within the chosen time frame.
The indicator's final row presents a comprehensive overview, including the maximum and minimum average changes. It showcases the closing price from the first column of the 10th row, aiding in distinguishing between the last trading day of the month and the first trading day, which varies due to different market opening times.
To enhance visual analysis, the indicator attempts to display the price average of the chosen time frame as a reference line on the chart. The maximum and minimum values are added or subtracted from the reference line to create an average price channel. The color of the candlesticks dynamically changes to indicate whether the current price change is above or below the average.
For optimal results, we recommend selecting the previous year's data and the current month's data from the 1st to the 31st day. In weekly charts, multiple months can be selected to provide a broader perspective on price trends.
Enhance your trading insights with the Historical Comparative Price Analysis indicator, and gain a deeper understanding of how current price changes relate to historical averages.
Note: This description is intended for educational and informational purposes and is not intended as financial advice. Always conduct your research and analysis before making trading decisions.
Higher Fibonacci EMAOverall image:
If the closing price is higher than the three Fibonacci EMAs (uptrend):
Thanks to @ZenAndTheArtOfTrading and his indicator "Higher Timeframe EMA", URL =
This is a trend-discriminating indicator that uses 3 EMAs.
The Williams Alligator is the underlying philosophy, and we have applied it to capture the larger trend.
It is set up for the current time frame + 2 higher time frames.
One of the upper time legs has a daily EMA length of 13 Fibonacci numbers.
The top-level time leg has a weekly EMA with a length of 5 Fibonacci.
If the current closing price of the ticker leg is higher than these three EMAs, the bar color will be green. If it is lower, it will be red. If it is neither, it will be gray.
If the bar color is green, it suggests that the trend is upward. If it is red, you can consider entering short. If it is gray, it is best not to enter anything.
ICT Commitment of Traders° by toodegreesDescription:
The Commitment of Traders (COT) is a valuable raw data report released weekly by the Commodity Futures Trading Commission (CFTC). This report offers insights into the current long and short positions of three key market entities:
Commercial Traders ( usually represented in red )
Large Traders ( typically depicted in green )
Small Speculator Traders ( commonly shown in blue )
The concept of utilizing the COT data as a strategic trading tool was first introduced by Larry Williams, who emphasized the importance of monitoring Commercial Speculators – large corporate producers or consumers of commodities.
The Inner Circle Trader (ICT) prompts us to delve deeper into this data. While we can easily determine their Net Position (also referred to as the Main Program) by subtracting Commercial Short Positions from the Commercial Long Positions, this calculation doesn't reveal their ongoing Hedge Program .
Merely following the Main Program won't provide a trading edge. Aligning with the Hedge Program can be an invaluable weapon in your trading arsenal.
The Commercial Speculators' Hedge Program can be unveiled by examining the highest and lowest reading of their Net Position over a chosen time period and setting a new "zero line" between these extremes. This process generates a novel "COT Graph" providing a detailed understanding of the Commercial Speculators' current market activity.
When the Hedge Program, Seasonality, and Open Interest are cross-referenced with Institutional Orderflow, a trader can construct a very clear medium-to-long-term market narrative.
Features:
Access COT Data for the Commercial Speculators via Tradingview's reliable data source
Automate calculations and display the 3-month, 6-month, 12-month, 2-year, and 3-year Hedge Program
Define your own Custom Time Range for the Hedge Program
Display the Main Program and all Hedge Programs in an easy-to-understand table format
Additionally, by following the included instructions, you can augment your table with COT data from multiple markets. This extra information can help monitor correlated markets and develop a more robust market narrative:
AI-Bank-Nifty Tech AnalysisThis code is a TradingView indicator that analyzes the Bank Nifty index of the Indian stock market. It uses various inputs to customize the indicator's appearance and analysis, such as enabling analysis based on the chart's timeframe, detecting bullish and bearish engulfing candles, and setting the table position and style.
The code imports an external script called BankNifty_CSM, which likely contains functions that calculate technical indicators such as the RSI, MACD, VWAP, and more. The code then defines several table cell colors and other styling parameters.
Next, the code defines a table to display the technical analysis of eight bank stocks in the Bank Nifty index. It then defines a function called get_BankComponent_Details that takes a stock symbol as input, requests the stock's OHLCV data, and calculates several technical indicators using the imported CSM_BankNifty functions.
The code also defines two functions called get_EngulfingBullish_Detection and get_EngulfingBearish_Detection to detect bullish and bearish engulfing candles.
Finally, the code calculates the technical analysis for each bank stock using the get_BankComponent_Details function and displays the results in the table. If the engulfing input is enabled, the code also checks for bullish and bearish engulfing candles and displays buy/sell signals accordingly.
The FRAMA stands for "Fractal Adaptive Moving Average," which is a type of moving average that adjusts its smoothing factor based on the fractal dimension of the price data. The fractal dimension reflects self-similarity at different scales. The FRAMA uses this property to adapt to the scale of price movements, capturing short-term and long-term trends while minimizing lag. The FRAMA was developed by John F. Ehlers and is commonly used by traders and analysts in technical analysis to identify trends and generate buy and sell signals. I tried to create this indicator in Pine.
In this context, "RS" stands for "Relative Strength," which is a technical indicator that compares the performance of a particular stock or market sector against a benchmark index.
The "Alligator" is a technical analysis tool that consists of three smoothed moving averages. Introduced by Bill Williams in his book "Trading Chaos," the three lines are called the Jaw, Teeth, and Lips of the Alligator. The Alligator indicator helps traders identify the trend direction and its strength, as well as potential entry and exit points. When the three lines are intertwined or close to each other, it indicates a range-bound market, while a divergence between them indicates a trending market. The position of the price in relation to the Alligator lines can also provide signals, such as a buy signal when the price crosses above the Alligator lines and a sell signal when the price crosses below them.
In addition to these, we have several other commonly used technical indicators, such as MACD, RSI, MFI (Money Flow Index), VWAP, EMA, and Supertrend. I used all the built-in functions for these indicators from TradingView. Thanks to the developer of this TradingView Indicator.
I also created a BankNifty Components Table and checked it on the dashboard.
Multi indicators tableThis is a comprehensive trading tool that presents an overview of the market in a tabular format. It consists of five distinct categories of trading indicators : Volatility, Trend, Momentum, Reversal, and Volume. Each category includes a series of indicators that are widely used in the trading communauty.
The Volatility category includes the Average True Range (ATR) and Bollinger Bands indicators. The Trend category comprises the Average Directional Index (ADX), four Exponential Moving Averages (EMAs), Aroon, Parabolic SAR, and the Supertrend. The Momentum category includes the Stochastic Relative Strength Index (StochRSI), Money Flow Index (MFI), Williams %R, Relative Strength Index (RSI), and Commodity Channel Index (CCI). The Reversal category includes Parabolic SAR, Moving Average Convergence Divergence (MACD), and PP Supertrend. Finally, the Volume category includes the Volume Exponential Moving Average (EMA) indicator.
The indicators states are easily readable, the indicator case is colored based on his actual state. A bullish color (green by default), a bearish color (red by default),
a very bullish color (dark green by default), a very bearish color (dark red by default) and a neutral color (gray by default) displayed when the indicator doesn't give us a clear signal. Some indicators do not have a very bullish or very bearish state. Concerning volatility indicators, the bullish color indicates high volatility, the bearish color indicates low volatility, and the neutral color indicates normal volatility.
Most of the indicators displayed in the table are customizable, and traders can choose to hide the categories they don't want to use. The Indicator provides a quick and easily readable view on the market and allows traders to reduce the number of indicators on their chart making it lighter and more readable.
Trend & atr day & calcHi!
Why for what and how in this script?
At the time of publication the script consists of three modules, it may increase in the future.
1. Bottom left corner : daytime ATR module
(idea and basis of the author's script - ???)
- The size of the daily ATR based on 14 bars;
- intraday ATR progress;
- colour indication of the progress status, for easier visual perception (green < 70%, yellow 70-90 and red over 90% of ATR)
By evaluating the progress of the daily ATR, it is possible to suggest and expedient to enter/exit/hold a trade.
2. Top right: trend module
The trend is calculated based on Bill Williams' alligator indicator
- trend status on specified timeframes for the current ticker;
- colour indication for visual perception (green - growing trend, yellow - alligator is sleeping, red - downtrend)
Do not forget that the alligator is based on moving averages with the resulting consequences.
Its purpose is to assess the state of the trend on other ticker TFs, without additional actions (switching to another screen or TF)
3. In the bottom left corner - risk and position calculator
(based on an idea of the risk calculator by @andrei.bunulu)
It helps to determine the advisability of entering the trade and also what size position to enter into the trade, within money management strategy chosen.
- The calculator works in two directions: long deal and short deal (short deal calculation is enabled by check-box in settings)
- two calculation methods:
a. based on the set stop loss % (default is 0.3%), in this mode the stop and takeout level is automatically calculated (default is 1 / 3).
b. by entering the desired price levels (entry, stop and take profit points)
To make this work correctly please do not forget to choose the type of calculation (% or price) in the settings, and the currency symbol (for visual representation in the results).
The calculator can take into account the set commissions and spreads.
When hovering over the module - tooltips are displayed.
Each module can be enabled / disabled in the settings.
The size and arrangement of the modules is made for joint use with the script - "Abnormal Bar".
/// а по-русски это так ///
Привет!
Зачем для чего и как в этом скрипте?
На момент публикации скрипт состоит из трех модулей, возможно в будущем увеличится.
1. В левом нижнем углу : модуль дневного ATR
(идея и основа скрипт автора - ???)
- размер дневной ATR на основании 14 баров;
- прогресс ATR внутри дня;
- цветовая индикация состояния прогресса, для более простого визуального восприятия (зеленый < 70%, желтый 70-90 и красный более 90% ATR)
Оценивая прогресс дневного ATR, можно предположить и целесообразности входа / выхода / удержания из сделки.
2. В правом верхнем углу: модуль тренда
Тренд рассчитывается на основе индикатора - аллигатор Билла Вильямса
- состояние тренда на указанных таймфреймах для текущего тикера;
- цветовая индикация для визуального восприятия (зеленый - растущий тренд, желтый - аллигатор спит, красный - нисходящий тренд)
Не забываем, что аллигатор построен на основе скользящих средних с вытекающими последствиями.
Назначение - оценить состояние тренда на других ТФ тикера, без дополнительных действий (переключения на другой экран или ТФ)
3. В нижнем левом углу - калькулятор рисков и позиции
(на основе идеи калькулятора аuthor: @andrei.bunulu)
Помогает определить целесообразность входа в сделку, а также каким размером позиции входить в сделку, в рамках выбранной стратегии мани менеджмента.
- калькулятор работает в два направления: длинная и короткая сделка (расчет по короткой включается в настройках чек-боксом)
- два варианта расчета:
а. на основании установленного % стоп лосса (по-умолчанию 0,3%), при этом режиме происходит автоматический расчет уровня стопа и тейка (по умолчанию 1 / 3).
b. путем ввода данных желаемых уровней цены (точки входа, стопа и тейк профита)
Для корректной работы не забываем в настройках выбирать тип расчета (% или цена), а также символ валюты (для визуального отображения в итогах).
Калькулятор может учитывать установленный размер комиссий и спреда.
При наведении на модуль - отображаются подсказки.
Каждый модуль можно включить / выключить в настройках.
Размер и расположение модулей сделано для совместного использования со скриптом - "Abnormal Bar"
