Ultimate Multi-Physics Financial IndicatorThe Ultimate Multi-Physics Financial Indicator is an advanced Pine Script designed to combine various complex theories from physics, mathematics, and statistical mechanics to create a holistic, multi-dimensional approach to market analysis. Let’s break down the core concepts and how they’re applied in this script:
1. Fractal Geometry: Recursive Pattern Recognition
Purpose: This part of the script uses fractal geometry to recursively analyze price pivots (highs and lows) for detecting patterns.
Fractals: The fractalHigh and fractalLow signals represent key turning points in the market. The script goes deeper by recursively analyzing layers of pivot sequences, adding "depth" to the recognition of patterns.
Recursive Depth: It breaks down each detected pivot into smaller components, giving more nuance to market pattern recognition. This provides a broader context for how prices have behaved historically at various levels of recursion.
2. Quantum Mechanics: Adaptive Probabilistic Monte Carlo with Correlation
Purpose: This component integrates randomness (from Monte Carlo simulations) with current market behavior using correlation.
Randomness Weighted by Correlation: By generating random probabilities and weighting them based on how well the market aligns with recent trends, it creates a probabilistic signal. The random values are scaled by a correlation factor (close prices and their moving average), adding adaptive elements where randomness is adjusted by current market conditions.
3. Thermodynamics: Adaptive Efficiency Ratio (Entropy-Like Decay)
Purpose: This section uses principles from thermodynamics, where efficiency in price movement is dynamically adjusted by recent volatility and changes.
Efficiency Ratio: It calculates how efficiently the market is moving over a certain period. The "entropy decay factor" reflects how stable the market is. Higher entropy (chaos) results in lower efficiency, while stable periods maintain higher efficiency.
4. Chaos Theory: Lorenz-Driven Market Oscillation
Purpose: Instead of using a basic Average True Range (ATR) indicator, this section applies chaos theory (using a Lorenz attractor analogy) to describe complex market oscillations.
Lorenz Attractor: This models market behavior with a chaotic system that depends on the historical price changes at different time intervals. The attractor value quantifies the level of "chaos" or unpredictability in the market.
5. String Theory: Multi-Layered Dimensional Analysis of RSI and MACD
Purpose: Combines traditional indicators like the RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) with momentum for multi-dimensional analysis.
Interaction of Layers: Each layer (RSI, MACD, and momentum) is treated as part of a multi-dimensional structure, where they influence one another. The final signal is a blended outcome of these key metrics, weighted and averaged for complexity.
6. Fluid Dynamics: Adaptive OBV (Pressure-Based)
Purpose: This section uses fluid dynamics to understand how price movement and volume create pressure over time, similar to how fluids behave under different forces.
Adaptive OBV: Traditional OBV (On-Balance Volume) is adapted by using statistical smoothing to measure the "pressure" exerted by volume over time. The result is a signal that shows where there might be building momentum or pressure in the market based on volume dynamics.
7. Recursive Synthesis of Signals
Purpose: After calculating all the individual signals (fractal, quantum, thermodynamic, chaos, string, and fluid), the script synthesizes them into one cohesive signal.
Recursive Feedback Loop: Each signal is recursively influenced by others, forming a feedback loop that allows the indicator to continuously learn from new data and self-adjust.
8. Signal Smoothing and Final Output
Purpose: To avoid noise in the output, the final combined signal is smoothed using an Exponential Moving Average (EMA), which helps stabilize the output for easier interpretation.
9. Dynamic Color Coding Based on Signal Extremes
Purpose: Visual clarity is enhanced by using color to highlight different levels of signal strength.
Color Coding: The script dynamically adjusts colors (green, orange, red) based on the strength of the final signal relative to its percentile ranking in historical data, making it easier to spot bullish, neutral, or bearish signals.
The "Ultimate Multi-Physics Financial Indicator" integrates a diverse array of scientific principles — fractal geometry, quantum mechanics, thermodynamics, chaos theory, string theory, and fluid dynamics — to provide a comprehensive market analysis tool. By combining probabilistic simulations, multi-dimensional technical indicators, and recursive feedback loops, this indicator adapts dynamically to evolving market conditions, giving traders a holistic view of market behavior across various dimensions. The result is an adaptive and flexible tool that responds to both short-term and long-term market changes
Grafik Paternleri
Al Brooks - SuiteThis indicator is designed to identify some key terms and methodologies inspired by Al Brooks price action. It helps trades to easy recognize for example i/ii/iii patterns or shaved bars defined in his books.
i/ii/iii : Single to triple inside bars. Every bar an inside bar to the previous. This can indiciate a potential contination or reversal pattern. (marked with "i")
o/oo/ooo : Single to triple outside bars. Not defined by Al Brooks, but could be an interesting area to develop a strategy. (marked with "o")
Shaved bar : A bar with little or no tail/wick on one or both sides. It can indicate strong directional movement or momentum. (marked with "s"
The timeframe is not important for the validation of the patterns.
Advanced Physics Financial Indicator Each component represents a scientific theory and is applied to the price data in a way that reflects key principles from that theory.
Detailed Explanation
1. Fractal Geometry - High/Low Signal
Concept: Fractal geometry studies self-similar patterns that repeat at different scales. In markets, fractals can be used to detect recurring patterns or turning points.
Implementation: The script detects pivot highs and lows using ta.pivothigh and ta.pivotlow, representing local turning points in price. The fractalSignal is set to 1 for a pivot high, -1 for a pivot low, and 0 if there is no signal. This logic reflects the cyclical, self-similar nature of price movements.
Practical Use: This signal is useful for identifying local tops and bottoms, allowing traders to spot potential reversals or consolidation points where fractal patterns emerge.
2. Quantum Mechanics - Probabilistic Monte Carlo Simulation
Concept: Quantum mechanics introduces uncertainty and probability into systems, much like how future price movements are inherently uncertain. Monte Carlo simulations are used to model a range of possible outcomes based on random inputs.
Implementation: In this script, we simulate 100 random outcomes by generating a random number between -1 and 1 for each iteration. These random values are stored in an array, and the average of these values is calculated to represent the Quantum Signal.
Practical Use: This probabilistic signal provides a sense of randomness and uncertainty in the market, reflecting the possibility of price movement in either direction. It simulates the market’s chaotic nature by considering multiple possible outcomes and their average.
3. Thermodynamics - Efficiency Ratio Signal
Concept: Thermodynamics deals with energy efficiency and entropy in systems. The efficiency ratio in financial terms can be used to measure how efficiently the price is moving relative to volatility.
Implementation: The Efficiency Ratio is calculated as the absolute price change over n periods divided by the sum of absolute changes for each period within n. This ratio shows how much of the price movement is directional versus random, mimicking the concept of efficiency in thermodynamic systems.
Practical Use: A high efficiency ratio suggests that the market is trending smoothly (high efficiency), while a low ratio indicates choppy, non-directional movement (low efficiency, or high entropy).
4. Chaos Theory - ATR Signal
Concept: Chaos theory studies how complex systems are highly sensitive to initial conditions, leading to unpredictable behavior. In markets, chaotic price movements can often be captured through volatility indicators.
Implementation: The script uses a very long ATR period (1000) to reflect slow-moving chaos over time. The Chaos Signal is computed by measuring the deviation of the current price from its long-term average (SMA), normalized by ATR. This captures price deviations over time, hinting at chaotic market behavior.
Practical Use: The signal measures how far the price deviates from its long-term average, which can signal the degree of chaos or extreme behavior in the market. High deviations indicate chaotic or volatile conditions, while low deviations suggest stability.
5. Network Theory - Correlation with BTC
Concept: Network theory studies how different components within a system are interconnected. In markets, assets are often correlated, meaning that price movements in one asset can influence or be influenced by another.
Implementation: This indicator calculates the correlation between the asset’s price and the price of Bitcoin (BTC) over 30 periods. The Network Signal shows how connected the asset is to BTC, reflecting broader market dynamics.
Practical Use: In a highly correlated market, BTC can act as a leading indicator for other assets. A strong correlation with BTC might suggest that the asset is likely to move in line with Bitcoin, while a weak or negative correlation might indicate that the asset is moving independently.
6. String Theory - RSI & MACD Interaction
Concept: String theory attempts to unify the fundamental forces of nature into a single framework. In trading, we can view the RSI and MACD as interacting forces that provide insights into momentum and trend.
Implementation: The script calculates the RSI and MACD and combines them into a single signal. The formula for String Signal is (RSI - 50) / 100 + (MACD Line - Signal Line) / 100, normalizing both indicators to a scale where their contributions are additive. The RSI represents momentum, and MACD shows trend direction and strength.
Practical Use: This signal helps in detecting moments where momentum (RSI) and trend strength (MACD) align, giving a clearer picture of the asset's direction and overbought/oversold conditions. It unifies these two indicators to create a more holistic view of market behavior.
7. Fluid Dynamics - On-Balance Volume (OBV) Signal
Concept: Fluid dynamics studies how fluids move and flow. In markets, volume can be seen as a "flow" that drives price movement, much like how fluid dynamics describe the flow of liquids.
Implementation: The script uses the OBV (On-Balance Volume) indicator to track the cumulative flow of volume based on price changes. The signal is further normalized by its moving average to smooth out fluctuations and make it more reflective of price pressure over time.
Practical Use: The Fluid Signal shows how the flow of volume is driving price action. If the OBV rises significantly, it suggests that there is strong buying pressure, while a falling OBV indicates selling pressure. It’s analogous to how pressure builds in a fluid system.
8. Final Signal - Combining All Physics-Based Indicators
Implementation: Each of the seven physics-inspired signals is combined into a single Final Signal by averaging their values. This approach blends different market insights from various scientific domains, creating a comprehensive view of the market’s condition.
Practical Use: The final signal gives you a holistic, multi-dimensional view of the market by merging different perspectives (fractal behavior, quantum probability, efficiency, chaos, correlation, momentum/trend, and volume flow). This approach helps traders understand the market's dynamics from multiple angles, offering deeper insights than any single indicator.
9. Color Coding Based on Signal Extremes
Concept: The color of the final signal plot dynamically reflects whether the market is in an extreme state.
Implementation: The signal color is determined using percentiles. If the Final Signal is in the top 55th percentile of its range, the signal is green (bullish). If it is between the 45th and 55th percentiles, it is orange (neutral). If it falls below the 45th percentile, it is red (bearish).
Practical Use: This visual representation helps traders quickly identify the strength of the signal. Bullish conditions (green), neutral conditions (orange), and bearish conditions (red) are clearly distinguished, simplifying decision-making.
Range Tightening Indicator (RTI)The Range Tightening Indicator (RTI) quantifies price volatility relative to recent price action, helping traders identify low-volatility consolidations that often precede breakouts.
Range Tightening is calculated by measuring the range between each bar’s high and low prices over a chosen lookback period.
A 5-bar period is recommended for shorter-term momentum setups and a 15-bar period is recommended for swing trading. An option for a custom period is available to suit specific strategies. The default look back for custom is 50, ideal for longer term traders.
Other Key Features:
Dynamic Color Coding: The RTI line turns green when volatility doubles after a drop to or below 20, flagging significant volatility shifts commonly seen before breakouts.
Low-Volatility Dots: Orange dots appear on the RTI line when two or more consecutive bars show RTI values below 20, visually marking extended low-volatility periods.
Volatility Zones: Shaded zones provide quick context:
Zone 1 (0-5): Extremely tight volatility, shown in red.
Zone 2 (5-10): Low volatility, shown in light green.
Zone 3 (10-15): Moderate low volatility, shown in green.
The RTI indicator is ideal for traders looking to anticipate breakout conditions, with features that highlight consolidation phases, support momentum strategies, and help improve entry timing by focusing on shifts in volatility.
This indicator was inspired after Deepvue's RMV Indicator, but uses a different calculation. Results may vary.
SimpleChart Indicator V1copyThe SimpleChart Indicator V1 is a technical analysis tool designed to facilitate trading decisions by providing clear buy and sell signals based on the relationship between the price and a Simple Moving Average (SMA). This indicator is especially useful for traders who prefer a straightforward, rule-based approach to market analysis.
Key Features:
Simple Moving Average (SMA): The core of the indicator is the SMA, which smooths price data over a specified period (default is 14 periods). This helps to identify the overall trend direction by filtering out short-term fluctuations.
Buy Signal: A buy signal is generated when the price crosses above the SMA. This indicates a potential upward trend, suggesting that it may be a good time to enter a long position.
Sell Signal: Conversely, a sell signal is triggered when the price crosses below the SMA. This suggests a potential downward trend, indicating that it may be time to exit a long position or consider a short position.
Visual Representation: The indicator provides clear visual cues on the chart:
Buy signals are marked with green labels below the bars.
Sell signals are marked with red labels above the bars.
The SMA line is plotted in blue, making it easy to identify the trend.
Benefits of Using SimpleChart Indicator V1:
User-Friendly: The indicator is easy to understand and implement, making it suitable for both novice and experienced traders.
Clarity in Decision Making: By providing distinct signals, the indicator helps traders make quick decisions based on the market's behavior concerning the moving average.
Trend Following: The SimpleChart Indicator V1 is particularly effective in trending markets, allowing traders to capture significant price movements.
Use Cases:
Day Trading: Traders can use the indicator for short-term trades by reacting quickly to buy and sell signals.
Swing Trading: The SMA helps identify trends over a longer period, making it suitable for swing traders looking to capitalize on price movements.
In summary, the SimpleChart Indicator V1 is a valuable tool for traders seeking a straightforward and effective way to analyze market trends and make informed trading decisions.
Weekly OHLC LevelsWeekly OHLC Levels Indicator
This indicator plots the previous week's open, high, low, and close (OHLC) levels on the chart for the entire duration of the current week. These levels can be critical for identifying key support and resistance zones, as they often represent psychological levels that traders watch closely.
Features:
Plots previous week’s High (green), Low (red), Open (blue), and Close (purple).
Levels remain visible throughout the current week, providing consistent reference points.
Helps in visualizing how current price action interacts with last week’s important levels.
How to Use:
Use these levels to gauge potential support and resistance areas.
Monitor price reactions around these levels, especially during the beginning of the week, as they can serve as pivot points.
This indicator is suitable for all markets and timeframes, providing valuable insight into price structure relative to weekly market behavior.
Rounded Grid Levels🟩 Rounded Grid Levels is a visual tool that helps traders quickly identify key psychological price levels on any chart. By dynamically adapting to the user's visible screen area, it provides consistent, easy-to-read round number grids that align with price action. The indicator offers a traditional visualization of horizontal round level grids, along with enhanced options such as tilted grids that align with market sentiment, and fan-shaped grids for alternative price interaction views. It serves purely as a visual aid, providing an adaptable way to observe rounded price levels without making predictions or generating trading signals.
⚡ OVERVIEW ⚡
The Rounded Grid Levels indicator is a visual tool designed to help traders identify and track price levels that may hold psychological significance, such as round numbers or significant milestones. These levels often serve as potential areas for price reactions, including support, resistance, or points of market interest. The indicator's gridlines are determined by user-defined settings and adjust dynamically based on the visible chart area, meaning they are influenced by the user's current zoom level and perspective. This behavior is similar to TradingView's built-in grid lines found in the chart settings canvas, which also adjust in real-time based on the visible screen, ensuring the most relevant price levels are displayed. By default, the indicator provides consistent gridlines to represent traditional round number levels, offering a straightforward view of key psychological areas. Additionally, users have access to experimental and novel configurations, such as fan-shaped layouts, which expand from a central point and adapt directionally based on user settings. This configuration can provide an alternate perspective for traders, especially useful in analyzing broader market moves and visualizing expansion relative to the current price.
Users can display the gridlines in a variety of configurations, including horizontal, neutral, auto, or fan-shaped layouts, depending on their preferred method of analysis. This flexibility allows traders to focus on different types of price action without overcrowding the visual representation of price movements.
This indicator is intended purely as a visual aid for understanding how price interacts with rounded levels over time. It does not generate predictive trading signals or recommendations but rather provides traders with a customizable framework to enhance their market analysis.
⭕ ROUND NUMBERS IN MARKET PSYCHOLOGY ⭕
Round numbers hold a significant place in financial markets, largely due to the psychological tendencies of traders and investors. These levels often represent areas of interest where human behavior, market biases, and trading strategies converge. Whether it's prices ending in 000, 500, or other recognizable values, these levels naturally attract more attention and influence decision-making.
Round numbers can act as key support or resistance levels and often become focal points in market activity. They are frequently highlighted by financial media, embedded in products like options, and serve as foundations for various trading theories. Their impact extends across different market participants and strategies, making them important focal points in both short-term and long-term market analysis.
Round numbers play an important role in guiding trader behavior and market activity. To better understand why these levels are so impactful, there are several key factors that highlight their significance in trading and price dynamics:
Psychological Impact : Humans naturally gravitate toward round numbers, such as prices ending in 000, 500, or 00. These levels tend to draw attention as traders perceive them as psychologically significant. This behavior is rooted in the cognitive bias known as "left-digit bias," where people assign greater importance to rounded, more recognizable numbers. In trading, this means that prices at these levels are more memorable and thus more likely to attract attention, creating an area where traders focus their buying or selling decisions.
Order Clustering : Traders often place buy and sell orders around these rounded levels, either manually or automatically through stop and limit orders. This clustering leads to the formation of visible support or resistance zones, as the concentrated orders tend to influence price behavior around these key levels. Market participants tend to converge their orders around these price points because of their perceived psychological importance, creating a liquidity pocket. As a result, these areas often act as barriers that the price either struggles to cross or uses as springboards for further movement.
External Influences : Financial media frequently highlights round-number milestones, amplifying market sentiment and drawing traders' attention to these levels. Additionally, algorithmic trading systems often react to round-number thresholds, which can further reinforce price movements, creating self-reinforcing reactions at these levels. As media and analysts emphasize these milestones, more traders pay attention to them, leading to increased volume and often heightened volatility at those points. This self-reinforcing cycle makes round numbers an area where price movement can either accelerate due to a breakout or stall because of clustering interest.
Option Strike Prices : Options contracts typically have strike prices set at round numbers, and as expiration approaches, these levels can influence the price of the underlying asset due to concentrated trading activity. The behavior around these levels, often called "pinning," happens because traders adjust their positions to avoid unfavorable scenarios at these key strikes. This activity tends to concentrate price movement toward these levels as traders hedge their positions, leading to increased liquidity and the potential for abrupt price reactions near option expiration dates.
Whole Number Theory : This theory suggests that whole numbers act as natural psychological barriers, where traders tend to make decisions, place orders, or expect price reactions, making these levels crucial for analysis. Whole numbers are simple to remember and are often used as informal targets for profit-taking or stop placement. This behavior leads to a natural ebb and flow around these levels, where the market finds equilibrium temporarily before deciding on a future direction. Whole numbers tend to work like magnets, drawing price to them and often creating reactions that are visible across different timeframes.
Quarters Theory : Commonly used in Forex markets, this theory focuses on quarter-point increments (e.g., 1.0000, 1.2500, 1.5000) as key levels where price often pauses or reverses. These quarter levels are treated as important psychological barriers, with price frequently interacting at these intervals. Traders use these points to gauge market strength or weakness because quarter levels divide larger round-number ranges into more manageable and meaningful segments. For example, in highly traded forex pairs like EUR/USD, traders might treat 1.2500 as a significant barrier because it represents a halfway point between 1.0000 and 1.5000, offering a balanced reference point for decision-making.
Big Round Numbers : Major round numbers, such as 100, 500, or 1000, often attract significant attention and serve as psychological thresholds. Traders anticipate strong reactions when prices approach or cross these levels. This is often because large round numbers symbolize major milestones, and price behavior around them tends to signal important market sentiment shifts. When price crosses a major level, such as a stock moving above $100 or Bitcoin crossing $50,000, it often creates a surge in trading activity as it is viewed as a validation or invalidation of market trends, drawing in momentum traders and triggering both retail and institutional responses.
By visualizing these round levels on the chart, the Rounded Grid Levels indicator helps traders identify areas where price may pause, reverse, or gain momentum. While round numbers provide useful insights, they should be used in conjunction with other technical analysis tools for a comprehensive trading strategy.
🛠️ CONFIGURATION AND SETTINGS 🛠️
The Rounded Grid Levels indicator offers a variety of configurable settings to tailor the visualization according to individual trader preferences. Below are the key settings available for customization:
Custom Settings
Rounding Step : The Rounding Step parameter sets the minimum interval between gridlines. This value determines how closely spaced the rounded levels are on the chart. For example, if the Rounding Step is set to 100, gridlines will be displayed at every 100 points (e.g., $100, $200, $300) relative to the current price level. The Rounding Step is scaled to the chart's visible area, meaning users should adjust it appropriately for different assets to ensure effective visualization. Lower values provide a more granular view, while larger values give a broader, higher-level perspective.
Major Grids : Defines the interval at which major gridlines will appear compared to minor ones. For example, if the Rounding Step is 100 and Major Grids is set to 10, major gridlines will be displayed every $1,000, while minor gridlines will be at every $100. This distinction allows traders to better visualize key psychological levels by emphasizing significant price intervals.
Direction : Users can select the gridline direction, choosing between options such as 'Up', 'Down', 'Auto', or 'Neutral'. This setting controls how the gridlines extend relative to the current price level, which can help in analyzing directional trends.
Neutral Direction : This option provides balanced gridlines both above and below the current price, allowing traders to visualize support and resistance levels symmetrically. This is useful for analyzing sideways or ranging markets without directional bias.
Up Direction : The gridlines are tilted upwards, starting from visible lows and extending toward the rounded level at the current price. By choosing Up , traders emphasize an upward sentiment, visualizing price action that aligns with rising trends. This option helps illustrate potential areas where pullbacks may occur, as well as how price might expand upwards in the current market context.
Down Direction : The gridlines are tilted downwards, starting from visible highs and extending toward the rounded level at the current price. Selecting Down allows traders to emphasize a downward sentiment, visualizing how price may expand downwards, which is particularly useful when analyzing downtrends or potential correction levels. The gridlines provide an illustrative view of how price interacts with lower levels during market declines.
Auto Direction : The gridlines automatically adjust their direction based on recent market trends. This adaptive option allows traders to visualize gridlines that dynamically change according to price action, making it suitable for evolving market conditions where the direction is uncertain. It’s useful for traders looking for an indicator that moves in sync with market shifts and doesn’t require manual adjustment.
Grid Type : Allows users to choose between 'Linear' or 'Fan' grid types. The Linear type creates evenly spaced gridlines that can be either horizontal or tilted, depending on the chosen direction setting, providing a straightforward view of price levels. The Fan type radiates lines from a central point, offering a more dynamic perspective for analyzing price expansions relative to the current price. These grid types introduce experimental visualizations influenced by chart properties, including visible highs, lows, and the current price. Regardless of the configuration, the gridlines will always end at the current bar, which represents a rounded price level, ensuring consistency in how key price areas are displayed.
Extend : This setting allows gridlines to be projected into the future, helping traders see potential levels beyond the current bar. When enabled, the behavior of the extended lines varies based on the selected grid type and direction. For Neutral and Horizontal Linear settings, the extended gridlines maintain their round-number alignment indefinitely. However, for Up , Down , or Auto directions, the angle of the extended gridlines can change dynamically based on the chart’s visible high and low or the latest price action. As a result, extended lines may not continue to align with round-number levels beyond the current bar, reflecting instead the current trend and sentiment of the market. Regardless of direction, extended gridlines remain consistently spaced and either parallel or evenly distributed, ensuring a structured visual representation.
Color Settings : Users can customize the colors for resistance, support, and minor gridlines at the current price. This helps in visually distinguishing between different grid types and their significance on the chart.
Color Options
These configuration options make the Rounded Grid Levels indicator a versatile tool for traders looking to customize their charts based on their personal trading strategies and analytical preferences.
🖼️ CHART EXAMPLES 🖼️
The following chart examples illustrate different configurations available in the Rounded Grid Levels indicator. These examples show how variations in grid type, direction, and rounding step settings impact the visualization of price levels. Traders may find that smaller rounding steps are more effective on lower time frames, where precision is key, whereas larger rounding steps help to reduce clutter and highlight key levels on higher time frames. Each image includes a caption to explain the specific configuration used, helping users better understand how to apply these settings in different market conditions.
Smaller Rounding Step (100) : With a smaller rounding step, the gridlines are spaced closely together. This setting is particularly useful for lower time frames where price action is more granular and finer details are needed. It allows traders to track price interactions at narrower levels, but on higher time frames, it may lead to clutter and exceed Pine Script's 500-line limit.
Larger Rounding Step (1000) : With a larger rounding step, the gridlines are spaced farther apart. This visualization is better suited for higher time frames or broader market overviews, allowing users to focus on major psychological levels without overloading the chart. On lower time frames, this may result in fewer actionable levels, but it helps in maintaining clarity and staying within Pine Script's line limit.
Linear Grid Type, Neutral Direction (Traditional Rounded Price Levels) : The Linear gridlines are displayed in a neutral fashion, representing traditional round-number levels with consistent spacing above and below the current price. This layout helps visualize key psychological price levels over time in a straightforward manner.
Linear Grid Type, Down Direction : The Linear gridlines are tilted downwards, remaining parallel and ending at the rounded level at the current price. This setup emphasizes downward market sentiment, allowing traders to visualize price expansion towards lower levels, which is useful when analyzing downtrends or potential correction levels.
Linear Grid Type, Down Direction : The Linear gridlines are tilted downwards, extending from the current price to lower levels. Useful for observing downtrending price movements and visualizing pullback areas during uptrends.
Linear Grid Type, Auto Direction : The Linear gridlines adjust dynamically, tilting either upwards or downwards to align with recent price trends, remaining parallel and ending at the rounded level at the current price. This configuration reflects the current market sentiment and offers traders a flexible way to observe price dynamics as they develop in real time.
Fan Grid Type, Neutral Direction : The fan-shaped gridlines radiate symmetrically from a central point, ending at the rounded level at the current price. This configuration provides an unbiased view of price action, giving traders a balanced visualization of rounded levels without directional influence.
Fan Grid Type, Up Direction : The fan-shaped gridlines originate from lower visible price points and radiate upwards, ending at the rounded level at the current price. This layout helps visualize potential price expansion to higher levels, offering insights into upward momentum while maintaining a dynamic and evolving perspective on market conditions.
Fan Grid Type, Down Direction : The fan-shaped gridlines originate from higher visible price points and radiate downwards, ending at the rounded level at the current price. This setup is particularly useful for observing potential price expansion towards lower levels, illustrating areas where the price might extend during a downtrend.
Fan Grid Type, Auto Direction : The fan-shaped gridlines dynamically adjust, originating from visible chart points based on the current market trend, and radiate outward, ending at the rounded level at the current price. This adaptive visualization offers a continuously evolving representation that aligns with changing market sentiment, helping traders assess price expansion dynamically.
📊 SUMMARY 📊
The Rounded Grid Levels indicator helps traders highlight important round-number price levels on their charts, providing a dynamic way to visualize these psychological areas. With customizable gridline options—including traditional, tilted, and fan-shaped styles—users can adapt the indicator to suit their analysis needs. The gridlines adjust with chart zoom or scale, offering a flexible tool for observing price action, without providing specific trading signals or predictions.
⚙️ COMPATIBILITY AND LIMITATIONS ⚙️
Asset Compatibility :
The Rounded Grid Levels indicator is compatible with all asset classes, including cryptocurrencies, forex, stocks, and commodities. Users should adjust both the Rounding Step and the Major Grid settings to ensure the correct scale is used for the specific asset. This adjustment ensures that the most relevant round price levels are displayed effectively regardless of the instrument being analyzed. For instance, when analyzing BTCUSD, a higher Rounding Step may be needed compared to forex pairs like EURUSD, and the Major Grid value should also be adjusted to appropriately emphasize significant levels.
Line Limitations in Pine Script :
The Rounded Grid Levels indicator is subject to Pine Script's 500-line limit. This means that it cannot draw more than 500 gridlines on the chart at any given time. The number of gridlines depends directly on the chosen Rounding Step . If the steps are too small, the gridlines will be spaced too closely, causing the indicator to quickly reach the line limit. For example, if Ethereum is trading around $2,500, a Rounding Step of 100 might be appropriate, but a step of 1.00 would create too many gridlines, exceeding Pine Script's limit. Users should consider appropriate settings to avoid running into this constraint.
Runtime Error Considerations
When using the Rounded Grid Levels indicator, users might encounter a runtime error in specific scenarios. This typically happens if the Rounding Step is set too small, causing the indicator to exceed Pine Script's line limit or take too long to process. This can often occur when switching between charts that have significantly different price ranges. Since the Rounding Step requires flexibility to work with a wide variety of assets—ranging from decimals to thousands—it is not practically limited within the script itself. If a runtime error occurs, the recommended solution is to increase the Rounding Step to a larger value that better matches the current asset's price range.
Runtime Error: If the Rounding Step is too small for the current asset or chart, the indicator may generate a runtime error. Users should increase the Rounding Step to ensure proper visualization.
⚠️ DISCLAIMER ⚠️
The Rounded Grid Levels indicator is not designed as a predictive tool. While it extends gridlines into the future, this extension is purely for visual continuity and does not imply any forecast of future price movements. The primary function of this indicator is to help users visualize significant round number price levels.
The gridlines adjust dynamically based on the visible chart range, ensuring that the most relevant round price levels are displayed. This behavior allows the indicator to adapt to your current view of the market, but it should not be used to predict price movements. The indicator is intended as a visual aid and should be used alongside other tools in a comprehensive market analysis approach.
While gridlines may align with significant price levels in hindsight, they should not be interpreted as indicators of future price movements. Traders are encouraged to adjust settings based on their strategy and market conditions.
🧠 BEYOND THE CODE 🧠
The Rounded Grid Levels indicator, like other xxattaxx indicators , is designed with education and community collaboration in mind. Its open-source nature encourages exploration, experimentation, and the development of new grid calculation indicators, drawings, and strategies. We hope this indicator serves as a framework and a starting point for future innovations in grid trading.
Your comments, suggestions, and discussions are invaluable in shaping the future of this project. We actively encourage your feedback and contributions, which will directly help us refine and improve the Rounded Grid Levels indicator. We look forward to seeing the creative ways in which you use and enhance this tool.
6am Box Indicator (German Time) - Midnight (NY Time) Indicator6am Box Indicator
This Indicator draws 2 lines between midnight (NY) / 6AM (Germany) and Session Ending (NY) / 10PM (Germany)
The first line is exactly at 6am UTC+2 whereas the second line prints one candle after the first line with a minimum time difference of 3min. This gives you the freedom to use different timeframes to get different boxes if you want to compare those. Minimum Box timeframe is 3min chart.
You can use this box for a support/resistance area, flipzone, magnet areas or whatever you call it, or use it in combination with other indicators.
Wish you the best! Good luck
Bharat Jhunjhunwala v2- Volume Color CodingPurpose of the Script
This script is designed for traders in India to visualize and analyze trading volume in the stock market. It colors the volume bars based on how the current trading volume compares to its average over the past 20 periods. This helps traders quickly identify unusual trading activity.
How It Works Step by Step
Setting Up the Indicator
Name & Display: The script is named "Bharat Jhunjhunwala- Volume Color Coding" and it displays below the main stock chart (overlay=false).
Volume Format: It formats the data specifically for volume (format=format.volume).
User Input
Volume Moving Average Period: Users can set how many periods (e.g., days) to consider for calculating the average volume. By default, it's set to 20 periods, and users can adjust this if needed.
Predefined Volume Ratios
The script uses fixed ratios to categorize the current volume:
Ultra High Volume: 3.0 times the average volume.
High Volume: 1.8 times the average volume.
Ultra Low Volume: Between 0.4 and 0.7 times the average volume.
Note: These ratios are hardcoded, meaning users cannot change them.
Calculating the Average Volume
The script calculates the Simple Moving Average (SMA) of the volume over the specified number of periods (default is 20). This average helps determine what "normal" volume looks like.
Determining Volume Levels
Ultra High Volume: If the current volume is 3 times or more the average, it's flagged as ultra high.
High Volume: If the current volume is 1.8 times or more but less than ultra high, it's flagged as high.
Ultra Low Volume: If the current volume is between 0.4 and 0.7 times the average, it's flagged as ultra low.
Normal Volume: Any volume that doesn't fit the above categories is considered normal.
Color Coding the Volume Bars
Based on the volume level determined:
Red: Ultra High Volume
Orange: High Volume
Blue: Ultra Low Volume
Green: Normal Volume
This color coding makes it easy to spot unusual trading activity at a glance.
Plotting on the Chart
Volume Bars: The script plots the actual trading volume as colored bars according to the categories above.
Volume Moving Average Line: It also plots the 20-period moving average of the volume as a green line. This line serves as a reference to compare current volumes against the average.
Why This is Useful
Quick Identification: Traders can instantly see when there's unusually high or low trading activity, which might indicate significant market moves or investor interest.
Trend Analysis: By comparing current volume to the moving average, traders can assess whether the current market behavior is stronger or weaker than usual.
Decision Making: Colored volume bars can help in making informed trading decisions, such as entering or exiting positions based on volume spikes or drops.
Customization
Adjusting the Moving Average: While the volume ratios are fixed, traders can change the number of periods used to calculate the moving average to better fit different trading strategies or time frames.
Summary
This script enhances the standard volume indicator by adding color-coded signals based on predefined volume thresholds relative to a moving average. It's a helpful tool for Indian stock traders to monitor and react to changes in trading volume effectively.
Confluence StrategyOverview of Confluence Strategy
The Confluence Strategy in trading refers to the combination of multiple technical indicators, support/resistance levels, and chart patterns to identify high-probability trading opportunities. The idea is that when several indicators agree on a price movement, the likelihood of that movement being successful increases.
Key Components
Technical Indicators:
Moving Averages (MA): Commonly used to determine the trend direction. Look for crossovers (e.g., the 50-day MA crossing above the 200-day MA).
Relative Strength Index (RSI): Helps identify overbought or oversold conditions. A reading above 70 may indicate overbought conditions, while below 30 suggests oversold.
MACD (Moving Average Convergence Divergence): Useful for spotting changes in momentum. Look for MACD crossovers and divergence from price.
Support and Resistance Levels:
Identify key levels where price has historically reversed. These can be drawn from previous highs/lows, Fibonacci retracement levels, or psychological price levels.
Chart Patterns:
Patterns like head and shoulders, double tops/bottoms, or flags can indicate potential reversals or continuations in price.
Strategy Implementation
Set Up Your Chart:
Add the desired indicators (e.g., MA, RSI, MACD) to your TradingView chart.
Mark significant support and resistance levels.
Identify Confluence Points:
Look for situations where multiple indicators align. For instance, if the price is near a support level, the RSI is below 30, and the MACD shows bullish divergence, this may signal a buying opportunity.
Entry and Exit Points:
Entry: Place a trade when your confluence conditions are met. Use limit orders for better prices.
Exit: Set profit targets based on resistance levels or use trailing stops. Consider the risk-reward ratio to ensure your trades are favorable.
Risk Management:
Always implement stop-loss orders to protect against unexpected market moves. Position size should reflect your risk tolerance.
Example of a Confluence Trade
Setup:
Price approaches a strong support level.
RSI shows oversold conditions (below 30).
The 50-day MA is about to cross above the 200-day MA (bullish crossover).
Action:
Enter a long position as the conditions align.
Set a stop loss just below the support level and a take profit at the next resistance level.
Conclusion
The Confluence Strategy can significantly enhance trading accuracy by ensuring that multiple indicators support a trade decision. Traders on TradingView can customize their indicators and charts to fit their personal trading styles, making it a flexible approach to technical analysis.
RSI from Rolling VWAP [CHE]Introducing the RSI from Rolling VWAP Indicator
Elevate your trading strategy with the RSI from Rolling VWAP —a cutting-edge indicator designed to provide unparalleled insights and enhance your decision-making on TradingView. This advanced tool seamlessly integrates the Relative Strength Index (RSI) with a Rolling Volume-Weighted Average Price (VWAP) to deliver precise and actionable trading signals.
Why Choose RSI from Rolling VWAP ?
- Clear Trend Detection: Our enhanced algorithms ensure accurate identification of bullish and bearish trends, allowing you to capitalize on market movements with confidence.
- Customizable Time Settings: Tailor the time window in days, hours, and minutes to align perfectly with your unique trading strategy and market conditions.
- Flexible Moving Averages: Select from a variety of moving average types—including SMA, EMA, WMA, and more—to smooth the RSI, providing clearer trend analysis and reducing market noise.
- Threshold Alerts: Define upper and lower RSI thresholds to effortlessly spot overbought or oversold conditions, enabling timely and informed trading decisions.
- Visual Enhancements: Enjoy a visually intuitive interface with color-coded RSI lines, moving averages, and background fills that make interpreting market data straightforward and efficient.
- Automatic Signal Labels: Receive immediate bullish and bearish labels directly on your chart, signaling potential trading opportunities without the need for constant monitoring.
Key Features
- Inspired by Proven Tools: Building upon the robust foundation of TradingView's Rolling VWAP, our indicator offers enhanced functionality and greater precision.
- Volume-Weighted Insights: By incorporating volume into the VWAP calculation, gain a deeper understanding of price movements and market strength.
- User-Friendly Configuration: Easily adjust settings to match your trading preferences, whether you're a novice trader or an experienced professional.
- Hypothesis-Driven Analysis: Utilize hypothetical results to backtest strategies, understanding that past performance does not guarantee future outcomes.
How It Works
1. Data Integration: Utilizes the `hlc3` (average of high, low, and close) as the default data source, with customization options available to suit your trading needs.
2. Dynamic Time Window: Automatically calculates the optimal time window based on an auto timeframe or allows for fixed time periods, ensuring flexibility and adaptability.
3. Rolling VWAP Calculation: Accurately computes the Rolling VWAP by balancing price and volume over the specified time window, providing a reliable benchmark for price action.
4. RSI Analysis: Measures momentum through RSI based on Rolling VWAP changes, smoothed with your chosen moving average for enhanced trend clarity.
5. Actionable Signals: Detects and labels bullish and bearish conditions when RSI crosses predefined thresholds, offering clear indicators for potential market entries and exits.
Seamless Integration with Your TradingView Experience
Adding the RSI from Rolling VWAP to your TradingView charts is straightforward:
1. Add to Chart: Simply copy the Pine Script code into TradingView's Pine Editor and apply it to your desired chart.
2. Customize Settings: Adjust the Source Settings, Time Settings, RSI Settings, MA Settings, and Color Settings to align with your trading strategy.
3. Monitor Signals: Watch for RSI crossings above or below your set thresholds, accompanied by clear labels indicating bullish or bearish trends.
4. Optimize Your Trades: Leverage the visual and analytical strengths of the indicator to make informed buy or sell decisions, maximizing your trading potential.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Get Started Today
Transform your trading approach with the RSI from Rolling VWAP indicator. Experience the synergy of momentum and volume-based analysis, and unlock the potential for more accurate and profitable trades.
Download now and take the first step towards a more informed and strategic trading journey!
For further inquiries or support, feel free to contact
Best regards
Chervolino
Inspired by the acclaimed Rolling VWAP by TradingView
(MA-EWMA) with ChannelsHamming Windowed Volume-Weighted Bidirectional Momentum-Adaptive Exponential Weighted Moving Average
This script is an advanced financial indicator that calculates a Hamming Windowed Volume-Weighted Bidirectional Momentum-Adaptive Exponential Weighted Moving Average (MA-EWMA). It adapts dynamically to market conditions, adjusting key parameters like lookback period, momentum length, and volatility sensitivity based on price volatility.
Key Components:
Dynamic Adjustments: The indicator adjusts its lookback and momentum length using the ATR (Average True Range), making it more responsive to volatile markets.
Volume Weighting: It incorporates volume data, weighting the moving average based on the volume activity, adding further sensitivity to price movement.
Bidirectional Momentum: It calculates upward and downward momentum separately, using these values to determine the directional weighting of the moving average.
Hamming Window: This technique smooths the price data by applying a Hamming window, which helps to reduce noise in the data and enhances the accuracy of the moving average.
Channels: Instead of plotting a single line, the script creates dynamic channels, providing more context for support and resistance levels based on the market's behavior.
The result is a highly adaptive and sophisticated moving average indicator that responds dynamically to both price momentum and volume trends.
VIDYA with Dynamic Length Based on ICPThis script is a Pine Script-based indicator that combines two key concepts: the Instantaneous Cycle Period (ICP) from Dr. John Ehlers and the Variable Index Dynamic Average (VIDYA). Here's an overview of how the script works:
Components:
Instantaneous Cycle Period (ICP):
This part of the indicator uses Dr. John Ehlers' approach to detect the market cycle length dynamically. It calculates the phase of price movement by computing the in-phase and quadrature components of the price detrended over a specific period.
The ICP helps adjust the smoothing length dynamically, giving a real-time estimate of the dominant cycle in price action. The script uses a phase calculation, adjusts it for cycle dynamics, and smoothes it for more reliable readings.
VIDYA (Variable Index Dynamic Average):
VIDYA is a moving average that dynamically adjusts its smoothing length based on the market conditions, in this case, using the RSI (Relative Strength Index) as a weight.
The length of VIDYA is determined by the dynamically calculated ICP, allowing it to adapt to changing market cycles.
This indicator performs several recursive layers of VIDYA smoothing (applying VIDYA multiple times) to provide a more refined result.
Key Features:
Dynamic Length: The length for the VIDYA calculation is derived from the smoothed ICP value, meaning that the smoothing adapts to the detected cycle length in real-time, making the indicator more responsive to market conditions.
Multiple VIDYA Layers: The script applies multiple layers of VIDYA smoothing (up to 5 iterations), further refining the output to smooth out market noise while maintaining responsiveness.
Plotting: The final smoothed VIDYA value and the smoothed ICP length are plotted. Additionally, overbought (70) and oversold (30) horizontal lines are provided for visual reference.
Application:
This indicator helps identify trends, smooths out price data, and adapts dynamically to market cycles. It's useful for detecting shifts in momentum and trends, and traders can use it to identify overbought or oversold conditions based on dynamically calculated thresholds.
Optimized WaveletsThe script, High-Resolution Volume-Price Pressure Indicator with Wavelets, utilizes wavelet transforms and high-resolution data to analyze market pressure based on volume and price dynamics. The approach combines volume data from smaller timeframes (1 second) with non-linear transformation techniques to generate a refined view of market conditions. Here’s a detailed breakdown of how it works:
Key Components:
Wavelet Transform:
A wavelet function is applied to the price and volume data to capture patterns over a set time period. This technique helps identify underlying structures in the data that might be missed with traditional moving averages.
High-Resolution Data:
The indicator fetches 1-second high-resolution data for price movements and volume. This allows the strategy to capture granular price and volume changes, crucial for short-term trading decisions.
Normalized Difference:
The script calculates the normalized difference in price and volume data. By comparing changes over the selected length, it standardizes these movements to help detect sudden shifts in market pressure.
Sigmoid Transformation:
After combining the price and volume wavelet data, a sigmoid function is applied to smooth out the resulting values. This non-linear transformation helps highlight significant moves while filtering out minor fluctuations.
Volume-Price Pressure:
The up and down volume differences, together with price movements, are combined to create a "Volume-Price Pressure Score." The final indicator reflects the pressure exerted on the market by both buyers and sellers.
Indicator Plot:
The final transformed score is plotted, showing how price and volume dynamics, combined through wavelet transformation, interact. The indicator can be used to identify potential market turning points or pressure buildups based on volume and price movement patterns.
This approach is well-suited for traders looking for advanced signal detection based on high-frequency data and can provide insight into areas where typical indicators may lag or overlook short-term volatility.
Sweep + MSS# Sweep + MSS Indicator
This indicator identifies market sweeps and Market Structure Shifts (MSS) to help traders recognize potential trend changes and market manipulations.
How it works:
1. Sweep Detection:
- Identifies when price briefly moves beyond a recent high/low (pivot point) and then reverses.
- Bullish sweep: Price drops below a recent low, then closes above it.
- Bearish sweep: Price rises above a recent high, then closes below it.
2. Market Structure Shift (MSS):
- Occurs when price action invalidates a previous sweep level.
- Bullish MSS: Price closes above a bearish sweep level.
- Bearish MSS: Price closes below a bullish sweep level.
Key Features:
- Customizable pivot lookback length for sweep detection
- Minimum bar requirement after a sweep before MSS can trigger
- One MSS per sweep level to avoid multiple signals
- Visual representation with lines connecting sweep points to MSS triggers
- Emoji labels for easy identification (🐂-MSS for bullish, 🐻-MSS for bearish)
Logic Behind MSS:
The MSS aims to identify potential trend changes by recognizing when the market invalidates a previous sweep level. This often indicates a shift in market structure, suggesting that the previous trend may be weakening or reversing.
- A bullish MSS occurs when the price closes above a bearish sweep level, potentially signaling a shift from bearish to bullish sentiment.
- A bearish MSS occurs when the price closes below a bullish sweep level, potentially signaling a shift from bullish to bearish sentiment.
By requiring a minimum number of bars between the sweep and the MSS, the indicator helps filter out noise and focuses on more significant structural changes in the market.
This indicator can be a valuable tool for traders looking to identify potential trend changes and entry/exit points based on market structure analysis.
Merged Efficiency & Time-Based OscillatorThis indicator is a fusion of two key trading concepts: the Efficiency Ratio and the Time-to-Change RSI, designed to give a comprehensive analysis of market movement and trend sustainability.
Efficiency Ratio (ER): This part of the indicator measures how effectively the market is moving in a certain direction by comparing net price change to the total price movement over a set period. The ratio helps identify whether the market is trending smoothly or experiencing choppy, inefficient moves. A higher ratio indicates more efficient, directional movement, while a lower ratio suggests market noise or indecision.
Time-to-Change RSI: This section tracks both the duration and value of upward and downward price movements. It calculates how much time is spent in upward or downward trends (gain time vs. loss time) and the size of these price changes. The Time-to-Change RSI and the Value RSI provide insight into how long and how strongly the market has been moving in one direction, helping traders gauge potential shifts in momentum.
By merging these two indicators, the resulting oscillator offers a more dynamic signal that highlights both market efficiency and momentum. The combined output shows how efficiently the market is trending while also taking into account the time spent in these trends and the relative strength of price changes. This allows traders to detect possible trend reversals, overbought/oversold conditions, and shifts in market momentum.
The indicator plots the merged signal, as well as overbought and oversold thresholds.
Oversold and overbought levels seem to be really effective
Saturn Retrograde PeriodsSaturn Retrograde Periods Visualizer for TradingView
This Pine Script visualizes all Saturn retrograde periods since 2009, including the current retrograde ending on November 15, 2024. The script overlays yellow boxes on your TradingView chart to highlight the exact periods of Saturn retrograde. It's a great tool for astrologically-inclined traders or those interested in market timing based on astrological events.
Key Features:
Full Historical Coverage: Displays Saturn retrograde periods from 2009 (the inception of Bitcoin) to the current retrograde ending in November 2024.
Customizable Appearance: You can easily adjust the color and opacity of the boxes directly from the script's settings window, making it flexible for various chart styles.
Visual Clarity: The boxes span the full vertical range of your chart, ensuring the retrograde periods are clearly visible over any asset, timeframe, or price action.
How to Use:
Add the script to your TradingView chart.
Adjust the color and opacity in the settings to suit your preferences.
View all relevant Saturn retrograde periods and analyze how these astrological events may align with price movements in your selected asset.
This script is perfect for traders and analysts who want to combine astrology with financial market analysis!
scripted by chat.gpt - version 1.0
Time Vertical LinesVLines - Time-Based Vertical Lines with Zones
This PineScript indicator creates vertical time lines with customizable zones between them. Perfect for marking trading sessions, key market times, or any time-based analysis.
Key Features:
- 5 configurable time lines
- 3 customizable zones (between lines 1-2, 2-3, and 4-5)
- Each zone features:
- Background shading
- Horizontal lines at high/low points
- Independent color controls
- Adjustable line styles and widths
- Time zone offset adjustment
- Option to show/hide historical lines
Installation Instructions:
1. Open TradingView's Pine Script Editor
2. Create a new script
3. Copy and paste the entire code
4. Add to Chart
Setup Guide:
1. Time Zone Adjustment:
- Find the "Time Zone Offset (Hours)" setting
- Adjust if lines appear at wrong times
- Example: If lines appear 3 hours early, set offset to 3
2. Basic Time Lines (1-3):
- Each line has settings for:
- Hour (0-23)
- Minute (0-59)
- Color
- Show/Hide toggle
3. Session Lines (4-5):
- Special lines typically used for session marking
- Same settings as basic lines
- Default red color to distinguish from other lines
4. Zone Customization:
Three separate zones are available:
- Zone 1-2 (between first and second lines)
- Zone 2-3 (between second and third lines)
- Zone 4-5 (between fourth and fifth lines)
Each zone can be customized with:
- Background color and transparency
- Horizontal line color
- Line style (Solid/Dashed/Dotted)
- Line width
- Individual show/hide toggles for zone and lines
5. Additional Settings:
- "Show Historical Lines" - toggle to show/hide lines on previous days
- Global line style and width settings for vertical lines
Suggested Uses:
1. Mark pre-market, market, and post-market sessions
2. Highlight specific trading windows
3. Track time-based support/resistance levels
4. Monitor price ranges during specific time periods
Tips:
- Start by setting just one zone to get familiar with the controls
- Use different colors for different sessions/time periods
- Adjust transparency to maintain chart visibility
- Use the show/hide toggles to focus on specific times
- The horizontal lines automatically mark the high/low range between time points
Personal Nested Fractal IndicatorThis script implements a nested fractal-based indicator that identifies potential buy and sell signals by analyzing fractal patterns in price action. It calculates larger and smaller fractal highs and lows and uses these patterns to confirm entry points. When smaller fractals appear within the range of larger fractals, the script generates buy or sell signals, which are plotted on the chart as visual markers. The logic is based on detecting price turning points through fractal analysis without any further complexity or additional filters.
Gap and Candle Pattern with Wick ConditionThis script is designed to identify specific gap and candlestick patterns, incorporating wick conditions for enhanced accuracy. It detects gap up and gap down movements between candles, then looks for shooting star (bearish reversal) or hammer (bullish reversal) formations. Additionally, the script applies a condition where the wicks of these patterns must be longer than the previous candle’s range. When both the gap and wick criteria are met, the script generates signals for potential reversals in the market
Fractal & Entropy Market Dynamics with Mexican Hat WaveletThis indicator combines fractal analysis, entropy, and wavelet theory to model market dynamics using a customized approach. It integrates advanced mathematical techniques to assess the complexity and structure of price action, while also incorporating volume and price volatility.
Key Concepts and Features:
Volume-Weighted Price:
The script calculates a volume-adjusted price using a moving average of volume to give more weight to periods with higher volume. This allows the indicator to account for the impact of trading volume on price movements, enhancing its sensitivity to significant price shifts.
Mexican Hat Wavelet Approximation:
The script employs the Mexican Hat Wavelet, a mathematical tool that approximates price movements based on the Laplacian of the price series. This helps capture localized oscillations in price, acting as a filter to highlight certain price dynamics over the specified length. This wavelet is commonly used to identify key inflection points and trends in financial data.
Fractal Dimension Calculation:
The fractal dimension is calculated to quantify the market's complexity. It measures how price moves between intervals, with higher values indicating chaotic or more volatile market behavior. This dimension captures the self-similarity in price movements across different time frames, a key feature of fractals.
Shannon Entropy Calculation:
Shannon Entropy is used to measure the randomness or uncertainty in the price action. It calculates the degree of unpredictability based on the price changes, providing insight into the market's informational efficiency. Higher entropy indicates more randomness, while lower entropy suggests more predictable trends.
Custom Normalization:
The script includes a custom normalization function that processes the composite score (derived from fractal dimension and entropy). This normalization helps scale the values into a consistent range, making it easier to interpret the output. The smoothing factor and RSI-based approach ensure that the normalized value reacts smoothly to the changes in market dynamics.
Composite Score:
The composite score is a weighted combination of the fractal dimension and entropy. This score aims to provide a holistic view of the market by combining the structural complexity (fractal) and randomness (entropy) into one unified metric.
Plotting and Visuals:
The indicator plots the normalized composite score on a scale where a baseline of 50 is provided for reference. The resulting plot helps traders visualize market dynamics, with the score fluctuating based on changes in the market's fractal dimension and entropy. A score above or below the baseline of 50 indicates potential market shifts.
Use Case:
The "Enhanced Fractal and Entropy Market Dynamics with Mexican Hat Wavelet" is useful for traders looking to identify market conditions where there is a balance between price structure and randomness. By integrating wavelets, fractals, and entropy, the indicator can provide insights into market complexity, helping traders recognize potential trend reversals, periods of consolidation, or increased volatility. This can be particularly effective for those employing swing trading or trend-following strategies
BOS TRADER [v 1.0] [Influxum]The name of the tool, BOS Trader, comes from the abbreviation BOS, which stands for Break Of Structure. In simple terms, this tool identifies situations where a change in market structure occurs after liquidity has been grabbed. Following the structural change, it looks for a point where the balance between buyers and sellers will be tested, potentially continuing the price movement in the direction of the structural break.
The goal of this tool is to identify areas where a trader can look for potential entry opportunities based on their entry rules and filters. In our own research, we found that while this tool is not a standalone strategy, it provides a statistical advantage that stems from the nature of the market itself. If you expect the market to reverse at a certain price level against a short-term, medium-term, or long-term trend, that reversal must logically begin with a change in structure – i.e., its break. BOS Trader then highlights the zone where you can expect a strong reaction from traders speculating on the continuation of price in the direction of the break.
Another important piece of the puzzle is the concept of liquidity. Liquidity grabs are generally considered by traders to be events that can trigger market direction changes. That's why BOS Trader is complemented with multiple ways to identify liquidity in the market from a Price Action perspective. We have explored the liquidity concept in depth in our other tools – the Liquidity Tool and Liquidity Strategy Tester – so we won’t go into too much detail on liquidity settings here.
🟪 Pivots
Liquidity can be found beyond pivot extremes – the highest candles in a series of candles. The pivot liquidity setting specifies how many candles must be before and after the pivot candle with a lower high for a pivot high or a higher low for a pivot low. A pivot high is the local highest point of the last 31 candles (15 before the pivot candle, the pivot candle itself, and 15 after). Another option is to set the time period in which the pivot extreme must occur. For example, you can differentiate between pivot highs of the Asian or London session.
🟪 % Percent Change
This setting is based on the well-known Zig Zag indicator and confirms swing highs or swing lows when there is a certain percentage change in price. This helps filter out noise that can occur when the market consolidates and randomly creates pivot highs or lows that aren’t significant.
🟪 Session High/Low
Many popular strategies are based on liquidity defined as the price range of a specific trading session. This doesn't have to be London, Asia, or New York sessions, but could be, for instance, the first hour of the New York session, and so on.
🟪 Day High/Low, Week High/Low, Month High/Low
As the name suggests, liquidity is often defined by the high/low of the previous day, week, or month. These price levels are watched by many market participants, and it's reasonable to expect reactions at these levels. That’s why we included this option in the BOS tool.
Tip for Traders
To avoid common issues with setting the correct session time, we have added the BG option to the tool – the ability to display a background for the configured trading session. This makes it easy to verify that your trading session is set correctly in relation to your time zone.
Delete grabbed liquidity
If a liquidity level is breached by price, it becomes invalid. For those who prefer to keep their charts clean and uncluttered, there is an option to delete grabbed liquidity. This way, only untraded, valid liquidity lines will be visible on the chart.
Bars after liquidity grab
A liquidity grab should be a significant event that triggers a reaction from market participants. To ensure this is a real response to liquidity rather than random market behavior, we added a time test to the BOS tool. A structural break must occur within a specified time after the liquidity grab. You can define this time in the tool as the number of bars after which the structural break is still considered valid following the liquidity grab.
🟪 AOI (Area of Interest) Settings
Initially, it's important to note that there are two main options for setting the behavior of the AOI. The first option is to fix its duration by the number of bars – Duration, and the second is to keep the AOI valid until it is traded through – Extended.
Duration
Since we expect a quick reaction to the liquidity grab, we also expect a fast pullback to the AOI and a swift response of traders. Our research has shown that the strongest reactions typically occur within a maximum of 15 bars from the formation of the AOI (fractally across timeframes). Therefore, this value is set as the default. However, we recommend considering not just the speed of the reaction but also its intensity. After the set number of bars, the AOI stops extending further.
Extended
We have noticed that price has a tendency to return to the AOI even after a longer period and react again. For this reason, we included the option in the BOS tool to extend the AOI into the future, with the ability to freely adjust the Max AOI Length.
🟪 AOI Size Mode
There are two options for setting the size of the AOI. Either it can be calculated as a percentage of the swing size (% of swing) in which the structural break occurred (the default setting is 30%), or you can set a different concept for the AOI size. For example, the well-known Optimal Trade Entry model. Custom values can be set in the FIBO Levels option, where you can define either preferred Fibonacci values or values based on your own criteria.
🟪 Trading Session (signals + alerts + visibility)
The main goal of our tools is to make it easier for traders to identify patterns and opportunities in the market and allow them to be alerted to their occurrence. The time for AOI plotting after a liquidity grab is combined into a single Trading Session function. This controls both the AOI plotting and when the tool will send alerts. All of this is aimed at helping traders avoid spending the entire day in front of their monitors, waiting for trading opportunities. Here, too, you can use the BG feature to plot a background on the chart showing the current session.
🟪 Trading within session range
We found that some traders have difficulty navigating the many AOIs plotted during times when the market consolidates and creates numerous false breakouts. Therefore, we included an option in the BOS tool to track only structural changes at the price extremes of the current day and trading session. The tool will not plot structural changes for internal liquidity grabs (within the session range), but only for external liquidity grabs (highest highs and lowest lows of the session or liquidity from previous days).
Visuals
The BOS tool is, of course, supplemented with the option to customize the appearance of all its components according to your preferences.
2 Bar Master Pattern Indicator ( MTF Inside Bars ) THE 2 BAR MASTER PATTERN IS A PRICE ACTION INDICATOR
It is based off of the master pattern concepts which explains the market moving through a 3 phase cycle.
Phase 1 - Contraction
Phase 2 - Expansion
Phase 3 - Trending
THESE 3 PHASES ARE HAPPENING ON EVERY TIME FRAME AND ON EVERY ASSET CLASS.
The first phase of the cycle is the contraction phase, this is where price goes
into contraction which is measure by a simultaneous lower high / higher low.
The contraction phase can be measured with many forms of contraction methods, such as 2 bar / 3 bar and multi bar contraction detection.
The 2 bar master pattern detects inside bars, based off 2 bar candle detection, when detected it will color the candle and a value line will project out of the center.
When it identifies an inside bar it will bring a line through the centre of the inside bar which is known as a value line, these are key levels that price can either find support or resistance on these levels, or a level when broken price can breakout and take off.
MTF FUNCTIONALITY
We have coded into the logic a Multi Time Frame function so that you can have it identify any inside bar on any time frame. 2 bar inside bars work best on higher time frames such as the 4hr and above therefore with the multi time frame functionality you can set it to a higher time frame of choice and be on a lower chart timeframe where you will take your entries off of.
SHORT ENTRY EXAMPLE
LONG ENTRY EXAMPLE
In the example above its set to the weekly chart as the time frame to detect the 2 bar master patterns, and the timeframe for entry is the 4hr time frame, this will change depending on your trading style and timeframes you like to trade on.
2 BAR MASTER PATTERNS CAN BE USED FOR REVERSALS AND CONTINUATION TRADING.
CONTINUATION INSIDE BAR TRADING
When you have a inside bar formed on a higher time frame, you mark the high and low of the inside bar, and depending on the direction of the trend - if on a up trend and it breaks the high of the inside bar is an long entry - and if its on a downtrend and the low of the inside bar is broken thats the set up for a short entry.
REVERSAL INSIDE BAR TRADING
When you have an inside bar forming at the bottom or top of a range or key level, this can be a sign of weakness and a potential area where price will reverse in the opposite direction.
2 BAR MASTER PATTERN INSIDE BARS EITHER SHOW STRENGHTH OR WEAKNESS OF A TREND
If combined in combination with the higher time frame trend direction and the master patten concepts principles, you can find amazing entries.
Best place to look for long entries on a confirmed uptrend is when price is under the value lines
Best place to look for short entries on a confirmed downtrend is when price is above the value lines
Once you understand that the market is moving in this 3 phase cycle and become adept and identifying the 1st phase which is the contraction phase, it can open the door to a new way of percieving the market and making sense of the seemingly randomness of how it moves.
