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Elliott Wave Identification By Akash Patel This script is designed to visually highlight areas on the chart where there are consecutive bullish (green) or bearish (red) candles. It also identifies sequences of three consecutive candles of the same type (bullish or bearish) and highlights those areas with adjustable box opacity. Here's a breakdown of the functionality: --- ### Key Features: 1. **Bullish & Bearish Candle Identification:** - **Bullish Candle:** When the closing price is higher than the opening price (`close > open`). - **Bearish Candle:** When the closing price is lower than the opening price (`close < open`). 2. **Consecutive Candle Counter:** - The script counts consecutive bullish and bearish candles, which resets when the direction changes (from bullish to bearish or vice versa). - The script tracks these counts using the `bullishCount` and `bearishCount` variables, which are incremented based on whether the current candle is bullish or bearish. 3. **Highlighting Candle Areas:** - If there are **3 or more consecutive bullish candles**, the script will highlight the background in a green color with 90% transparency (adjustable). - Similarly, if there are **3 or more consecutive bearish candles**, the script will highlight the background in a red color with 90% transparency (adjustable). 4. **Three-Candle Sequence:** - The script checks if there are three consecutive bullish candles (`threeBullish`) or three consecutive bearish candles (`threeBearish`). - A box is drawn around these areas to visually highlight the sequence. The boxes extend to the right edge of the chart, and their opacity can be adjusted. 5. **Box Creation:** - For bullish sequences, a green box is created using the high and low prices of the three candles in the sequence. - For bearish sequences, a red box is created in the same manner. - The box size is determined by the highest high and the lowest low of the three consecutive candles. 6. **Box Opacity:** - You can adjust the opacity of the boxes through the input parameters `Bullish Box Opacity` and `Bearish Box Opacity` (ranging from 0 to 100). - A higher opacity will make the boxes more solid, while a lower opacity will make them more transparent. 7. **Box Cleanup:** - The script also includes logic to remove boxes when they are no longer needed, ensuring the chart remains clean without excessive box overlays. 8. **Extending Boxes to the Right:** - When a bullish or bearish sequence is identified, the boxes are extended to the right edge of the chart for continued visibility. --- ### How It Works: - **Bullish Area Highlight:** When three or more consecutive bullish candles are detected, the background will turn green to indicate a strong bullish trend. - **Bearish Area Highlight:** When three or more consecutive bearish candles are detected, the background will turn red to indicate a strong bearish trend. - **Three Consecutive Candle Box:** A green box will appear around three consecutive bullish candles, and a red box will appear around three consecutive bearish candles. These boxes can be extended to the right edge of the chart, making the sequence visually clear. --- ### Adjustable Parameters: 1. **Bullish Box Opacity:** Set the opacity (transparency) level of the bullish boxes. Ranges from 0 (completely transparent) to 100 (completely opaque). 2. **Bearish Box Opacity:** Set the opacity (transparency) level of the bearish boxes. Ranges from 0 (completely transparent) to 100 (completely opaque). --- This indicator is useful for identifying strong trends and visually confirming market momentum, especially in situations where you want to spot sequences of bullish or bearish candles over multiple bars. It can be customized to suit different trading styles and chart preferences by adjusting the opacity of the boxes and background highlights.
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Akash7245 tarafından
Descending Elliot Wave Patterns [theEccentricTrader]█   OVERVIEW This indicator automatically draws descending Elliot Wave patterns and price projections derived from the ranges that constitute the patterns. █   CONCEPTS Green and Red Candles • A green candle is one that closes with a close price equal to or above the price it opened. • A red candle is one that closes with a close price that is lower than the price it opened. Swing Highs and Swing Lows • A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak. • A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough. Peak and Trough Prices (Basic) • The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher. • The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower. Historic Peaks and Troughs The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one. Range The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips. Support and Resistance • Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further. • Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further. Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level , with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level , with the expectation that the price will drop back down. It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction. Upper Trends • A return line uptrend is formed when the current peak price is higher than the preceding peak price. • A downtrend is formed when the current peak price is lower than the preceding peak price. • A double-top is formed when the current peak price is equal to the preceding peak price. Lower Trends • An uptrend is formed when the current trough price is higher than the preceding trough price. • A return line downtrend is formed when the current trough price is lower than the preceding trough price. • A double-bottom is formed when the current trough price is equal to the preceding trough price. Muti-Part Upper and Lower Trends • A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend. • A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend. • A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend. • A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend. Double Trends • A double uptrend is formed when the current trough price is higher than the preceding trough price and the current peak price is higher than the preceding peak price. • A double downtrend is formed when the current peak price is lower than the preceding peak price and the current trough price is lower than the preceding trough price. Muti-Part Double Trends • A multi-part double uptrend begins with the formation of a new uptrend that proceeds a new return line uptrend, and continues until a new downtrend or return line downtrend ends the trend. • A multi-part double downtrend begins with the formation of a new downtrend that proceeds a new return line downtrend, and continues until a new uptrend or return line uptrend ends the trend. Wave Cycles A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa. Figure 1. Fibonacci Retracement and Extension Ratios The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144. The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on. 1.618 is considered to be the 'golden ratio', found in many natural phenomena such as the growth of seashells and the branching of trees. Some now speculate the universe oscillates at a frequency of 0,618 Hz, which could help to explain such phenomena, but this theory has yet to be proven. Traders and analysts use Fibonacci retracement and extension indicators, consisting of horizontal lines representing different Fibonacci ratios, for identifying potential levels of support and resistance. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak. Elliot Wave Patterns Ralph Nelson Elliott, authored his book on Elliott wave theory titled "The Wave Principle" in 1938. In this book, Elliott presented his theory of market behaviour, which he believed reflected the natural laws that govern human behaviour. The Elliott Wave Theory is based on the principle that waves have a tendency to unfold in a specific sequence of five waves in the direction of the trend, followed by three waves leading in the opposite direction. This pattern is called a 5-3 wave pattern and is the foundation of Elliott's theory. The five waves in the direction of the trend are labelled 1, 2, 3, 4, and 5, while the three waves in the opposite direction are labelled A, B, and C. Waves 1, 3, and 5 are impulse waves, while waves 2 and 4 are corrective waves. Waves A and C are also corrective waves, while wave B is an impulse wave. According to Elliott, the pattern of waves is fractal in nature, meaning that it occurs on all time frames, from the smallest to the largest. In Elliott Wave Theory, the distance that waves move from each other depends on the specific market conditions and the amplitude of the waves involved. There is no fixed rule or limit for how far waves should move from each other, however, there are several guidelines to help identify and measure wave distances. One of the most common guidelines is the Fibonacci ratios, which can be used to describe the relationships between wave lengths. For example, Elliott identified that wave 3 is typically the strongest and longest wave, and it tends to be 1.618 times the length of wave 1. Meanwhile, wave 2 tends to retrace between 50% and 78.6% of wave 1, and wave 4 tends to retrace between 38.2% and 78.6% of wave 3. In general, the patterns are quite rare and the distances that the waves move in relation to one another is subject to interpretation. For such reasons, I have simply included the ratios of the current ranges as ratios of the preceding ranges in the wave labels and it will, ultimately, be up to the user to decide whether or not the patterns qualify as valid. █   FEATURES Inputs • Show Projections • Pattern Color • Label Color • Extend Current Projection Lines █   LIMITATIONS All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
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theEccentricTrader tarafından
Ascending Elliot Wave Patterns [theEccentricTrader]█   OVERVIEW This indicator automatically draws ascending Elliot Wave patterns and price projections derived from the ranges that constitute the patterns. █   CONCEPTS Green and Red Candles • A green candle is one that closes with a close price equal to or above the price it opened. • A red candle is one that closes with a close price that is lower than the price it opened. Swing Highs and Swing Lows • A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak. • A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough. Peak and Trough Prices (Basic) • The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher. • The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower. Historic Peaks and Troughs The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one. Range The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips. Support and Resistance • Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further. • Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further. Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level , with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level , with the expectation that the price will drop back down. It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction. Upper Trends • A return line uptrend is formed when the current peak price is higher than the preceding peak price. • A downtrend is formed when the current peak price is lower than the preceding peak price. • A double-top is formed when the current peak price is equal to the preceding peak price. Lower Trends • An uptrend is formed when the current trough price is higher than the preceding trough price. • A return line downtrend is formed when the current trough price is lower than the preceding trough price. • A double-bottom is formed when the current trough price is equal to the preceding trough price. Muti-Part Upper and Lower Trends • A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend. • A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend. • A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend. • A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend. Double Trends • A double uptrend is formed when the current trough price is higher than the preceding trough price and the current peak price is higher than the preceding peak price. • A double downtrend is formed when the current peak price is lower than the preceding peak price and the current trough price is lower than the preceding trough price. Muti-Part Double Trends • A multi-part double uptrend begins with the formation of a new uptrend that proceeds a new return line uptrend, and continues until a new downtrend or return line downtrend ends the trend. • A multi-part double downtrend begins with the formation of a new downtrend that proceeds a new return line downtrend, and continues until a new uptrend or return line uptrend ends the trend. Wave Cycles A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa. Figure 1. Fibonacci Retracement and Extension Ratios The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144. The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on. 1.618 is considered to be the 'golden ratio', found in many natural phenomena such as the growth of seashells and the branching of trees. Some now speculate the universe oscillates at a frequency of 0,618 Hz, which could help to explain such phenomena, but this theory has yet to be proven. Traders and analysts use Fibonacci retracement and extension indicators, consisting of horizontal lines representing different Fibonacci ratios, for identifying potential levels of support and resistance. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak. Elliot Wave Patterns Ralph Nelson Elliott, authored his book on Elliott wave theory titled "The Wave Principle" in 1938. In this book, Elliott presented his theory of market behaviour, which he believed reflected the natural laws that govern human behaviour. The Elliott Wave Theory is based on the principle that waves have a tendency to unfold in a specific sequence of five waves in the direction of the trend, followed by three waves leading in the opposite direction. This pattern is called a 5-3 wave pattern and is the foundation of Elliott's theory. The five waves in the direction of the trend are labelled 1, 2, 3, 4, and 5, while the three waves in the opposite direction are labelled A, B, and C. Waves 1, 3, and 5 are impulse waves, while waves 2 and 4 are corrective waves. Waves A and C are also corrective waves, while wave B is an impulse wave. According to Elliott, the pattern of waves is fractal in nature, meaning that it occurs on all time frames, from the smallest to the largest. In Elliott Wave Theory, the distance that waves move from each other depends on the specific market conditions and the amplitude of the waves involved. There is no fixed rule or limit for how far waves should move from each other, however, there are several guidelines to help identify and measure wave distances. One of the most common guidelines is the Fibonacci ratios, which can be used to describe the relationships between wave lengths. For example, Elliott identified that wave 3 is typically the strongest and longest wave, and it tends to be 1.618 times the length of wave 1. Meanwhile, wave 2 tends to retrace between 50% and 78.6% of wave 1, and wave 4 tends to retrace between 38.2% and 78.6% of wave 3. In general, the patterns are quite rare and the distances that the waves move in relation to one another is subject to interpretation. For such reasons, I have simply included the ratios of the current ranges as ratios of the preceding ranges in the wave labels and it will, ultimately, be up to the user to decide whether or not the patterns qualify as valid. █   FEATURES Inputs • Show Projections • Pattern Color • Label Color • Extend Current Projection Lines █   LIMITATIONS All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
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theEccentricTrader tarafından
Grothendieck-Teichmüller Geometric SynthesisDskyz's Grothendieck-Teichmüller Geometric Synthesis (GTGS) THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES The 🎓 GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementation—such a task would demand computational power far beyond current trading platforms—it leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures. 1. Grothendieck-Teichmüller Theory: Deforming Market Structure The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces. Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts. 2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency. Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty. 3. Tropical Geometry: Simplifying Complexity The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication. Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly. 4. Motivic Cohomology & Non-Commutative Geometry The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces. Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements. 5. Perfectoid Spaces & Homotopy Type Theory The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics. Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis. The Combination is Key : No single theory dominates. GTGS ’s Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains. 🎛️ INPUTS: CONFIGURING THE GEOMETRIC ENGINE The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision. Grothendieck-Teichmüller Theory Inputs 🧬 Deformation Depth (Absolute Galois) : What It Is : Controls the depth of Galois group deformations analyzed in market structure. How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries. Optimization : Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D). Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min). Timeframes : Scalping (1-5min) : 3-6 for quick local shifts. Day Trading (15min-1H) : 8-12 for balanced analysis. Swing Trading (4H-1D) : 12-20 for deep structural trends. Sectors : Stocks : Use 8-12 for stable trends. Crypto : 3-8 for volatile, short-term moves. Forex : 12-15 for smooth, cyclical patterns. Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity. 🗼 Teichmüller Tower Height : What It Is : Determines the height of the Teichmüller modular tower for hierarchical pattern detection. How It Works : Builds modular levels to identify nested market patterns. Optimization : Higher Values (6-8) : Detects complex fractals, ideal for swing trading. Lower Values (2-4) : Focuses on primary patterns, faster for scalping. Timeframes : Scalping : 2-3 for speed. Day Trading : 4-5 for balanced patterns. Swing Trading : 5-8 for deep fractals. Sectors : Indices : 5-8 for robust, long-term patterns. Crypto : 2-4 for rapid shifts. Commodities : 4-6 for cyclical trends. Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware. 🔢 Galois Prime Base : What It Is : Sets the prime base for Galois field computations. How It Works : Defines the field extension characteristic for market analysis. Optimization : Prime Characteristics : 2 : Binary markets (up/down). 3 : Ternary states (bull/bear/neutral). 5 : Pentagonal symmetry (Elliott waves). 7 : Heptagonal cycles (weekly patterns). 11,13,17,19 : Higher-order patterns. Timeframes : Scalping/Day Trading : 2 or 3 for simplicity. Swing Trading : 5 or 7 for wave or cycle detection. Sectors : Forex : 5 for Elliott wave alignment. Stocks : 7 for weekly cycle consistency. Crypto : 3 for volatile state shifts. Pro Tip : Use 7 for most markets; 5 for Elliott wave traders. Topos Theory & Sheaf Cohomology Inputs 🏛️ Temporal Site Size : What It Is : Defines the number of time points in the topological site. How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness. Optimization : Higher Values (30-50) : Smoother cohomology, better for trends in swing trading. Lower Values (5-15) : Responsive, ideal for reversals in scalping. Timeframes : Scalping : 5-10 for quick responses. Day Trading : 15-25 for balanced analysis. Swing Trading : 25-50 for smooth trends. Sectors : Stocks : 25-35 for stable trends. Crypto : 5-15 for volatility. Forex : 20-30 for smooth cycles. Pro Tip : Match site size to your average holding period in bars for optimal coherence. 📐 Sheaf Cohomology Degree : What It Is : Sets the maximum degree of cohomology groups computed. How It Works : Higher degrees capture complex topological obstructions. Optimization : Degree Meanings : 1 : Simple obstructions (basic support/resistance). 2 : Cohomological pairs (double tops/bottoms). 3 : Triple intersections (complex patterns). 4-5 : Higher-order structures (rare events). Timeframes : Scalping/Day Trading : 1-2 for simplicity. Swing Trading : 3 for complex patterns. Sectors : Indices : 2-3 for robust patterns. Crypto : 1-2 for rapid shifts. Commodities : 3-4 for cyclical events. Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection. 🌐 Grothendieck Topology : What It Is : Chooses the Grothendieck topology for the site. How It Works : Affects how local data integrates into global patterns. Optimization : Topology Characteristics : Étale : Finest topology, captures local-global principles. Nisnevich : A1-invariant, good for trends. Zariski : Coarse but robust, filters noise. Fpqc : Faithfully flat, highly sensitive. Sectors : Stocks : Zariski for stability. Crypto : Étale for sensitivity. Forex : Nisnevich for smooth trends. Indices : Zariski for robustness. Timeframes : Scalping : Étale for precision. Swing Trading : Nisnevich or Zariski for reliability. Pro Tip : Start with Étale for precision; switch to Zariski in noisy markets. Unified Field Configuration Inputs ⚛️ Field Coupling Constant : What It Is : Sets the interaction strength between geometric components. How It Works : Controls signal amplification in the unified field equation. Optimization : Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets. Lower Values (0.001-0.1) : Subtle signals for trending markets. Timeframes : Scalping : 0.5-0.8 for quick, strong signals. Swing Trading : 0.1-0.3 for trend confirmation. Sectors : Crypto : 0.5-1.0 for volatility. Stocks : 0.1-0.3 for stability. Forex : 0.3-0.5 for balance. Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets. 📐 Geometric Weighting Scheme : What It Is : Determines the framework for combining geometric components. How It Works : Adjusts emphasis on different mathematical structures. Optimization : Scheme Characteristics : Canonical : Equal weighting, balanced. Derived : Emphasizes higher-order structures. Motivic : Prioritizes arithmetic properties. Spectral : Focuses on frequency domain. Sectors : Stocks : Canonical for balance. Crypto : Spectral for volatility. Forex : Derived for structured moves. Indices : Motivic for arithmetic cycles. Timeframes : Day Trading : Canonical or Derived for flexibility. Swing Trading : Motivic for long-term cycles. Pro Tip : Start with Canonical; experiment with Spectral in volatile markets. Dashboard and Visual Configuration Inputs 📋 Show Enhanced Dashboard, 📏 Size, 📍 Position : What They Are : Control dashboard visibility, size, and placement. How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality . Optimization : Scalping : Small size, Bottom Right for minimal chart obstruction. Swing Trading : Large size, Top Right for detailed analysis. Sectors : Universal across markets; adjust size based on screen setup. Pro Tip : Use Large for analysis, Small for live trading. 📐 Show Motivic Cohomology Bands, 🌊 Morphism Flow, 🔮 Future Projection, 🔷 Holographic Mesh, ⚛️ Spectral Flow : What They Are : Toggle visual elements representing mathematical calculations. How They Work : Provide intuitive representations of market dynamics. Optimization : Timeframes : Scalping : Enable Morphism Flow and Spectral Flow for momentum. Swing Trading : Enable all for comprehensive analysis. Sectors : Crypto : Emphasize Morphism Flow and Future Projection for volatility. Stocks : Focus on Cohomology Bands for stable trends. Pro Tip : Disable non-essential visuals in fast markets to reduce clutter. 🌫️ Field Transparency, 🔄 Web Recursion Depth, 🎨 Mesh Color Scheme : What They Are : Adjust visual clarity, complexity, and color. How They Work : Enhance interpretability of visual elements. Optimization : Transparency : 30-50 for balanced visibility; lower for analysis. Recursion Depth : 6-8 for balanced detail; lower for older hardware. Color Scheme : Purple/Blue : Analytical focus. Green/Orange : Trading momentum. Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading. ⏱️ Minimum Bars Between Signals : What It Is : Minimum number of bars required between consecutive signals. How It Works : Prevents signal clustering by enforcing a cooldown period. Optimization : Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading. Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping. Timeframes : Scalping : 0-2 bars for rapid signals. Day Trading : 3-5 bars for balance. Swing Trading : 5-10 bars for stability. Sectors : Crypto : 0-3 for volatility. Stocks : 5-10 for trend clarity. Forex : 3-7 for cyclical moves. Pro Tip : Increase in choppy markets to filter noise. Hardcoded Parameters Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence). Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets. 🎨 ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE The GTTMTSF ’s visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions. Motivic Cohomology Bands : What They Are : Dynamic bands ( H⁰ , H¹ , H² ) representing cohomological support/resistance. Color & Meaning : Colors reflect energy levels ( H⁰ tightest, H² widest). Breaks into H¹ signal momentum; H² touches suggest reversals. How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups. Morphism Flow (Webbing) : What It Is : White particle streams visualizing market momentum. Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation. How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts. Future Projection Web (Fractal Grid) : What It Is : Fibonacci-period fractal projections of support/resistance. Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (φ), resonance (ρ), and obstruction ( H¹ ). ⚡ marks extreme anomalies. How to Trade : Target ⚡/● levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups. Holographic Mesh & Spectral Flow : What They Are : Visuals of harmonic interference and spectral energy. How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement. 📊 THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL The Dashboard translates complex mathematics into actionable intelligence. Unified Field & Signals : FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations. RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves. SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups. Geometric Components : What They Are : Breakdown of seven mathematical engines. How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening. Signal Performance : What It Is : Tracks indicator signal performance. How to Use : Assesses real-time performance to build confidence and understand system behavior. 🚀 DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series. Why This Is Unlike Anything Else : Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools. Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field . Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice. Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding. The GTTMTSF is more than an indicator; it’s a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos. " Where there is matter, there is geometry. " - Johannes Kepler — Dskyz , Trade with insight. Trade with anticipation.
Pine Script® göstergesi
DskyzInvestments tarafından
4
Next Candle Predictor with Auto HedgingThe "Next Candle Predictor with Auto Hedging" is a Pine Script indicator designed for use on TradingView. It combines predictive analysis and basic hedging techniques to assist traders in making informed decisions. Here's a detailed explanation suitable for public sharing on TradingView: Overview This script predicts the closing price of the next candle based on the current candle's open and close prices. It also includes an auto hedging feature that suggests potential hedging levels to mitigate risk based on the predicted price movement. The indicator is particularly useful for traders looking to enhance their trading strategies with predictive analytics. Key Features Next Candle Prediction: The indicator analyzes the current candle's data (open and close prices) to predict whether the next candle will close higher or lower. If the current candle is bullish (close > open), it predicts a higher close for the next candle. Conversely, if the candle is bearish, it predicts a lower close. Auto Hedging: The script calculates a hedging level based on the predicted close price. If the predicted close indicates a bullish move, the hedge level is set slightly below the predicted close, suggesting where a trader might consider placing a hedge. If the prediction indicates a bearish move, the hedge level is set above the predicted close. Elliott Wave Analysis: The script includes a basic implementation of identifying significant price movements, akin to Elliott Wave analysis, by detecting peaks and troughs over a specified number of bars (wave length). This can help traders identify potential trend reversals or continuations. How It Works Input Parameters: Users can customize the waveLength parameter, which determines how many bars back the script looks to identify significant highs and lows. Peak and Trough Detection: The script identifies the highest high and lowest low within the specified wave length, plotting these points on the chart for visual reference. Prediction Logic: The predicted close is calculated based on the current candle's behavior, allowing traders to anticipate price movements. Hedging Level Calculation: The script dynamically calculates a hedging level based on the predicted close, providing a visual cue for potential risk management strategies. Visual Representation The indicator plots: Elliott Wave Highs: Marked in green. Elliott Wave Lows: Marked in red. Predicted Close: Shown as a blue step line. Hedge Level: Displayed as an orange step line. Benefits Enhanced Decision-Making: By providing predictions and potential hedging levels, traders can make more informed decisions about entering or exiting positions. Risk Management: The auto hedging feature helps traders manage risk by suggesting levels where they might place hedges against adverse price movements. Customizable: The script allows for user-defined parameters, making it adaptable to different trading strategies and market conditions. Conclusion The "Next Candle Predictor with Auto Hedging" indicator is a powerful tool for traders seeking to enhance their trading strategies with predictive analytics and risk management techniques. By utilizing this indicator, traders can gain insights into potential price movements and make more informed trading decisions. Feel free to explore the script, customize it to fit your trading style, and engage with the TradingView community for further insights and improvements! Related
Pine Script® göstergesi
HackWarrior tarafından
Ranked TickThe NYSE TICK is, very simply, the number of stocks ticking down or up at any given time. It is, therefore, an internal indication of buying and selling pressure. By itself, it can be difficult to interpret. This “Ranked Tick” makes the TICK an oscillator that varies from 0 to 100. This indicator can be of great help in determining when the market is overbought or oversold. This oscillator is a percentile ranking of the high + low of the current bar of the TICK compared to the recent values of the same sum over a certain number of bars, which the user can set as an input, the “Rank Length”. This indicator can be of great help in determining when the market is overbought or oversold. It was conceived by SergioT for TradeStation, and he was gracious enough to share his TradeStation script with all the traders at elliottwavetrader.net. I transcribed it into Pine Script so that everyone at TradingView could also have it.
Pine Script® göstergesi
UBoat107 tarafından
1
Risk-Adjusted Momentum Oscillator# Risk-Adjusted Momentum Oscillator (RAMO): Momentum Analysis with Integrated Risk Assessment ## 1. Introduction Momentum indicators have been fundamental tools in technical analysis since the pioneering work of Wilder (1978) and continue to play crucial roles in systematic trading strategies (Jegadeesh & Titman, 1993). However, traditional momentum oscillators suffer from a critical limitation: they fail to account for the risk context in which momentum signals occur. This oversight can lead to significant drawdowns during periods of market stress, as documented extensively in the behavioral finance literature (Kahneman & Tversky, 1979; Shefrin & Statman, 1985). The Risk-Adjusted Momentum Oscillator addresses this gap by incorporating real-time drawdown metrics into momentum calculations, creating a self-regulating system that automatically adjusts signal sensitivity based on current risk conditions. This approach aligns with modern portfolio theory's emphasis on risk-adjusted returns (Markowitz, 1952) and reflects the sophisticated risk management practices employed by institutional investors (Ang, 2014). ## 2. Theoretical Foundation ### 2.1 Momentum Theory and Market Anomalies The momentum effect, first systematically documented by Jegadeesh & Titman (1993), represents one of the most robust anomalies in financial markets. Subsequent research has confirmed momentum's persistence across various asset classes, time horizons, and geographic markets (Fama & French, 1996; Asness, Moskowitz & Pedersen, 2013). However, momentum strategies are characterized by significant time-varying risk, with particularly severe drawdowns during market reversals (Barroso & Santa-Clara, 2015). ### 2.2 Drawdown Analysis and Risk Management Maximum drawdown, defined as the peak-to-trough decline in portfolio value, serves as a critical risk metric in professional portfolio management (Calmar, 1991). Research by Chekhlov, Uryasev & Zabarankin (2005) demonstrates that drawdown-based risk measures provide superior downside protection compared to traditional volatility metrics. The integration of drawdown analysis into momentum calculations represents a natural evolution toward more sophisticated risk-aware indicators. ### 2.3 Adaptive Smoothing and Market Regimes The concept of adaptive smoothing in technical analysis draws from the broader literature on regime-switching models in finance (Hamilton, 1989). Perry Kaufman's Adaptive Moving Average (1995) pioneered the application of efficiency ratios to adjust indicator responsiveness based on market conditions. RAMO extends this concept by incorporating volatility-based adaptive smoothing, allowing the indicator to respond more quickly during high-volatility periods while maintaining stability during quiet markets. ## 3. Methodology ### 3.1 Core Algorithm Design The RAMO algorithm consists of several interconnected components: #### 3.1.1 Risk-Adjusted Momentum Calculation The fundamental innovation of RAMO lies in its risk adjustment mechanism: Risk_Factor = 1 - (Current_Drawdown / Maximum_Drawdown × Scaling_Factor) Risk_Adjusted_Momentum = Raw_Momentum × max(Risk_Factor, 0.05) This formulation ensures that momentum signals are dampened during periods of high drawdown relative to historical maximums, implementing an automatic risk management overlay as advocated by modern portfolio theory (Markowitz, 1952). #### 3.1.2 Multi-Algorithm Momentum Framework RAMO supports three distinct momentum calculation methods: 1. Rate of Change: Traditional percentage-based momentum (Pring, 2002) 2. Price Momentum: Absolute price differences 3. Log Returns: Logarithmic returns preferred for volatile assets (Campbell, Lo & MacKinlay, 1997) This multi-algorithm approach accommodates different asset characteristics and volatility profiles, addressing the heterogeneity documented in cross-sectional momentum studies (Asness et al., 2013). ### 3.2 Leading Indicator Components #### 3.2.1 Momentum Acceleration Analysis The momentum acceleration component calculates the second derivative of momentum, providing early signals of trend changes: Momentum_Acceleration = EMA(Momentum_t - Momentum_{t-n}, n) This approach draws from the physics concept of acceleration and has been applied successfully in financial time series analysis (Treadway, 1969). #### 3.2.2 Linear Regression Prediction RAMO incorporates linear regression-based prediction to project momentum values forward: Predicted_Momentum = LinReg_Value + (LinReg_Slope × Forward_Offset) This predictive component aligns with the literature on technical analysis forecasting (Lo, Mamaysky & Wang, 2000) and provides leading signals for trend changes. #### 3.2.3 Volume-Based Exhaustion Detection The exhaustion detection algorithm identifies potential reversal points by analyzing the relationship between momentum extremes and volume patterns: Exhaustion = |Momentum| > Threshold AND Volume < SMA(Volume, 20) This approach reflects the established principle that sustainable price movements require volume confirmation (Granville, 1963; Arms, 1989). ### 3.3 Statistical Normalization and Robustness RAMO employs Z-score normalization with outlier protection to ensure statistical robustness: Z_Score = (Value - Mean) / Standard_Deviation Normalized_Value = max(-3.5, min(3.5, Z_Score)) This normalization approach follows best practices in quantitative finance for handling extreme observations (Taleb, 2007) and ensures consistent signal interpretation across different market conditions. ### 3.4 Adaptive Threshold Calculation Dynamic thresholds are calculated using Bollinger Band methodology (Bollinger, 1992): Upper_Threshold = Mean + (Multiplier × Standard_Deviation) Lower_Threshold = Mean - (Multiplier × Standard_Deviation) This adaptive approach ensures that signal thresholds adjust to changing market volatility, addressing the critique of fixed thresholds in technical analysis (Taylor & Allen, 1992). ## 4. Implementation Details ### 4.1 Adaptive Smoothing Algorithm The adaptive smoothing mechanism adjusts the exponential moving average alpha parameter based on market volatility: Volatility_Percentile = Percentrank(Volatility, 100) Adaptive_Alpha = Min_Alpha + ((Max_Alpha - Min_Alpha) × Volatility_Percentile / 100) This approach ensures faster response during volatile periods while maintaining smoothness during stable conditions, implementing the adaptive efficiency concept pioneered by Kaufman (1995). ### 4.2 Risk Environment Classification RAMO classifies market conditions into three risk environments: - Low Risk: Current_DD < 30% × Max_DD - Medium Risk: 30% × Max_DD ≤ Current_DD < 70% × Max_DD - High Risk: Current_DD ≥ 70% × Max_DD This classification system enables conditional signal generation, with long signals filtered during high-risk periods—a approach consistent with institutional risk management practices (Ang, 2014). ## 5. Signal Generation and Interpretation ### 5.1 Entry Signal Logic RAMO generates enhanced entry signals through multiple confirmation layers: 1. Primary Signal: Crossover between indicator and signal line 2. Risk Filter: Confirmation of favorable risk environment for long positions 3. Leading Component: Early warning signals via acceleration analysis 4. Exhaustion Filter: Volume-based reversal detection This multi-layered approach addresses the false signal problem common in traditional technical indicators (Brock, Lakonishok & LeBaron, 1992). ### 5.2 Divergence Analysis RAMO incorporates both traditional and leading divergence detection: - Traditional Divergence: Price and indicator divergence over 3-5 periods - Slope Divergence: Momentum slope versus price direction - Acceleration Divergence: Changes in momentum acceleration This comprehensive divergence analysis framework draws from Elliott Wave theory (Prechter & Frost, 1978) and momentum divergence literature (Murphy, 1999). ## 6. Empirical Advantages and Applications ### 6.1 Risk-Adjusted Performance The risk adjustment mechanism addresses the fundamental criticism of momentum strategies: their tendency to experience severe drawdowns during market reversals (Daniel & Moskowitz, 2016). By automatically reducing position sizing during high-drawdown periods, RAMO implements a form of dynamic hedging consistent with portfolio insurance concepts (Leland, 1980). ### 6.2 Regime Awareness RAMO's adaptive components enable regime-aware signal generation, addressing the regime-switching behavior documented in financial markets (Hamilton, 1989; Guidolin, 2011). The indicator automatically adjusts its parameters based on market volatility and risk conditions, providing more reliable signals across different market environments. ### 6.3 Institutional Applications The sophisticated risk management overlay makes RAMO particularly suitable for institutional applications where drawdown control is paramount. The indicator's design philosophy aligns with the risk budgeting approaches used by hedge funds and institutional investors (Roncalli, 2013). ## 7. Limitations and Future Research ### 7.1 Parameter Sensitivity Like all technical indicators, RAMO's performance depends on parameter selection. While default parameters are optimized for broad market applications, asset-specific calibration may enhance performance. Future research should examine optimal parameter selection across different asset classes and market conditions. ### 7.2 Market Microstructure Considerations RAMO's effectiveness may vary across different market microstructure environments. High-frequency trading and algorithmic market making have fundamentally altered market dynamics (Aldridge, 2013), potentially affecting momentum indicator performance. ### 7.3 Transaction Cost Integration Future enhancements could incorporate transaction cost analysis to provide net-return-based signals, addressing the implementation shortfall documented in practical momentum strategy applications (Korajczyk & Sadka, 2004). ## References Aldridge, I. (2013). *High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems*. 2nd ed. Hoboken, NJ: John Wiley & Sons. Ang, A. (2014). *Asset Management: A Systematic Approach to Factor Investing*. New York: Oxford University Press. Arms, R. W. (1989). *The Arms Index (TRIN): An Introduction to the Volume Analysis of Stock and Bond Markets*. Homewood, IL: Dow Jones-Irwin. Asness, C. S., Moskowitz, T. J., & Pedersen, L. H. (2013). Value and momentum everywhere. *Journal of Finance*, 68(3), 929-985. Barroso, P., & Santa-Clara, P. (2015). Momentum has its moments. *Journal of Financial Economics*, 116(1), 111-120. Bollinger, J. (1992). *Bollinger on Bollinger Bands*. New York: McGraw-Hill. Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. *Journal of Finance*, 47(5), 1731-1764. Calmar, T. (1991). The Calmar ratio: A smoother tool. *Futures*, 20(1), 40. Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (1997). *The Econometrics of Financial Markets*. Princeton, NJ: Princeton University Press. Chekhlov, A., Uryasev, S., & Zabarankin, M. (2005). Drawdown measure in portfolio optimization. *International Journal of Theoretical and Applied Finance*, 8(1), 13-58. Daniel, K., & Moskowitz, T. J. (2016). Momentum crashes. *Journal of Financial Economics*, 122(2), 221-247. Fama, E. F., & French, K. R. (1996). Multifactor explanations of asset pricing anomalies. *Journal of Finance*, 51(1), 55-84. Granville, J. E. (1963). *Granville's New Key to Stock Market Profits*. Englewood Cliffs, NJ: Prentice-Hall. Guidolin, M. (2011). Markov switching models in empirical finance. In D. N. Drukker (Ed.), *Missing Data Methods: Time-Series Methods and Applications* (pp. 1-86). Bingley: Emerald Group Publishing. Hamilton, J. D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. *Econometrica*, 57(2), 357-384. Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. *Journal of Finance*, 48(1), 65-91. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. *Econometrica*, 47(2), 263-291. Kaufman, P. J. (1995). *Smarter Trading: Improving Performance in Changing Markets*. New York: McGraw-Hill. Korajczyk, R. A., & Sadka, R. (2004). Are momentum profits robust to trading costs? *Journal of Finance*, 59(3), 1039-1082. Leland, H. E. (1980). Who should buy portfolio insurance? *Journal of Finance*, 35(2), 581-594. Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation. *Journal of Finance*, 55(4), 1705-1765. Markowitz, H. (1952). Portfolio selection. *Journal of Finance*, 7(1), 77-91. Murphy, J. J. (1999). *Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications*. New York: New York Institute of Finance. Prechter, R. R., & Frost, A. J. (1978). *Elliott Wave Principle: Key to Market Behavior*. Gainesville, GA: New Classics Library. Pring, M. J. (2002). *Technical Analysis Explained: The Successful Investor's Guide to Spotting Investment Trends and Turning Points*. 4th ed. New York: McGraw-Hill. Roncalli, T. (2013). *Introduction to Risk Parity and Budgeting*. Boca Raton, FL: CRC Press. Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. *Journal of Finance*, 40(3), 777-790. Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable*. New York: Random House. Taylor, M. P., & Allen, H. (1992). The use of technical analysis in the foreign exchange market. *Journal of International Money and Finance*, 11(3), 304-314. Treadway, A. B. (1969). On rational entrepreneurial behavior and the demand for investment. *Review of Economic Studies*, 36(2), 227-239. Wilder, J. W. (1978). *New Concepts in Technical Trading Systems*. Greensboro, NC: Trend Research.
Pine Script® göstergesi
EdgeTools tarafından
2
Supply & Demand Zones _____________________________________________________________________ Supply and Demand Zones This indicator displays valid Supply and Demand zones on any chart and timeframe, using dynamically updating visuals. Users can see the moment that zones become validated, used, and then invalidated during live sessions. It is sleek, lightweight, and offers a feature-rich settings panel that allows customization of how each element appears and functions. Zones can enhance the probability of successful trades by locating areas that are most likely to contain resting orders of Supply or Demand, which are needed for price reversals. Disclaimer ____________________ Like all indicators, this can be a valuable tool when incorporated into a comprehensive, risk-based trading system. Supply and Demand is not the same thing as Support and Resistance. Trading based on price hitting a zone without understanding which zones are of higher quality and which are of lower quality (only discernible with a trained human eye) will yield poor results. Supply and Demand works well as a system and even better when added to an existing one. However, like all effective trading techniques, it requires diligent study, practice, and repetition to become proficient. This is an indicator for use with Supply and Demand concepts, not a replacement for learning them. Features ____________________ Once a valid candle sequence is confirmed, a box will appear that displays the zone over the precise zone range. At 50% zone penetration, a zone becomes used , and at 100% it becomes invalidated . Each of these zone classifications changes the behavior of the zone on the chart immediately. The settings panel offers custom colors for Supply , Demand , Used , and Invalidated zone types. Borders : The subtle border colors can be changed or hidden. Boxes or Bases : Advanced users can opt to hide zone boxes and instead display small, subtle tags over base candle groups. This allows for more customizable selection over what is displayed and how. Max Zones and Hide Invalidated : There are limitations on how many objects TradingView allows at once. Because of this, once zones go from used to invalidated , they are hidden (deleted) by default. This allows the zones index to be allocated to display more valid , usable zones instead. If a user prefers to keep invalidated zones visible, they can be enabled; however, this will result in showing more recent zones for fewer historical zones. All zones share one pool, so if you allow fifty max zones, forty-five might be supply while five might be demand on a big sell-off trend. You will always see the most recent zones, regardless of type or status. It’s up to you how much clutter you want on your screen and how much improved load time you want - but once loaded, zone creation and function are always instantaneous. Load Time ____________________ Load time refers to the time it takes from when you switch tickers or timeframes before the zones are displayed initially. There is zero lag in the dynamic function and minimal load time, regardless of settings. However, if you are a fine-tuner or multi-screener, the number of Max Zones displayed is the only major variable affecting load time. I run everything at Max when I develop. When I trade, I run mine at 25 max zones because I change timeframes often and want a very quick display of zones when I do. I have invalidated hidden, and simply enable it if I want to check an old zone. This gives me more zones than I need and reduces the load time to right where I like it. Thresholds ____________________ It is recommended to leave these as the default. Base Body Threshold : Determines the maximum ratio of a candle’s body to wick before invalidation. Default (50% or 0.5). A higher number loosens thresholds, resulting in more zones being displayed. Unrequire 2nd FT if LO is Strong & Strength Multiplier : The standard logic sequence requires two Follow-Through candles. Under some strong price movement, Leg-Out candles can make an explosive directional move from a base, making a convincing argument for supply and demand perfectly at work, if not for a single Follow-Through candle instead of two. By enabling this feature, you can tell the script to ignore second Follow-Through candles, if and only if, the Leg-Out candle's range is (Strength) X the base range. exceeds the range of the Base by a factor of X (Strength). ie: At 5x, this would require a Leg-Out range to be 500% the range of the Base. If enabled and the Leg-Out is not strong enough, the default logic kicks in, and a second follow-through candle will validate the zone as per usual. This loosens thresholds overall and should result in more zones. Recommended Usage ____________________ Form a thesis using your primary trend trading system (eg: Elliott Wave, Structure Reversal, TheStrat, et al) to identify locations of a pullback for a long or short entry. Identify a pullback area using your system, then use this indicator to find a high-quality zone on your chosen timeframe. Once located, draw your own channel over the indicator's zone box. Start on 1m, check for zones, 2m, 3m, and so on. When you see a zone you like, recreate it; thus, when finished, you can see every timeframe’s highest-quality zones that you created, regardless of what timeframe you switch to. Tip: Be selective To make the process faster, save a channel design in settings for “Demand” and one for “Supply”, then you can quickly get through this process in less than a minute with practice. Optional: Use additional methods (eg: Fibonacci retracements, Elliott Wave Theory, Anchored VWAPs) to find congruent confirmation. Version 1.0 ____________________ No known bugs remain from the closed beta. In Development ____________________ Powerful combination zones occur when standard zone sequences are extended with additional levels of demand or supply by adding more conditionals to the state machine logic. Got this mostly working in a dev version and it adds minimal extra resources. Set aside to polish a clean standard 1.0 for release first, but now displaying these extended zones is my top priority for next version. MTF support is essentially working in a dev copy, but adds resources. Not sure if it is in the spirit of price action being the primary focus of a chart for serious traders, rather than indicators. If there is demand for it, I'll consider it. Additional Threshold Settings Thanks! ____________________ Thank you for your interest in my work. This was a personal passion project of mine, and I was delighted it turned out better than I hoped, so I decided to share it. If you have any comments, bugs, or suggestions, please leave them here, or you can find me on Twitter or Discord. @ ContrarianIRL Open-source developer for over 25 years
Pine Script® göstergesi
ContrarianIRL tarafından
2
Trend of Multiple Oscillator Dashboard ModifiedDescription: The "Trend of Multiple Oscillator Dashboard Modified" is a powerful Pine Script indicator that provides a dashboard view of various oscillator and trend-following indicators across multiple timeframes. This indicator helps traders to assess trend conditions comprehensively by integrating popular technical indicators, including MACD, EMA, Stochastic, Elliott Wave, DID (Curta, Media, Longa), Price Volume Trend (PVT), Kuskus Trend, and Wave Trend Oscillator. Each indicator’s trend signal (bullish, bearish, or neutral) is displayed in a color-coded dashboard, making it easy to spot the consensus or divergence in trends across different timeframes. Key Features: Multi-Timeframe Analysis: Displays trend signals across five predefined timeframes (1, 2, 3, 5, and 10 minutes) for each included indicator. Customizable Inputs: Allows for customization of key parameters for each oscillator and trend-following indicator. Trend Interpretation: Each indicator is visually represented with green (bullish), red (bearish), and yellow (neutral) trend markers, making trend identification intuitive and quick. Trade Condition Controls: Input options for the number of positive and negative conditions needed to trigger entries and exits, allowing users to refine the decision-making criteria. Delay Management: Options for re-entry conditions based on both price movement (in points) and the minimum number of candles since the last exit, giving users flexibility in managing trade entries. Usage: This indicator is ideal for traders who rely on multiple oscillators and moving averages to gauge trend direction and strength across timeframes. The dashboard allows users to observe trends at a glance and make informed decisions based on the alignment of various trend indicators. It’s particularly useful in consolidating signals for strategies that require multiple conditions to align before entering or exiting trades. Note: Ensure that you’re familiar with each oscillator’s functionality, as some indicators like Elliott Wave and Wave Trend are simplified for visual coherence in this dashboard. Disclaimer: This script is intended for educational and informational purposes only. Use it with caution and adapt it to your specific trading plan. Developer's Remark: "This indicator's comprehensive design allows traders to filter noise and identify the most robust trends effectively. Use it to visualize trends across timeframes, understand oscillator behavior, and enhance decision-making with a more strategic approach."
Pine Script® göstergesi
arulprabhancr tarafından
Multi-Timeframe Recursive Zigzag [Trendoscope®]🎲 Welcome to the Advanced World of Zigzag Analysis Embark on a journey through the most comprehensive and feature-rich Zigzag implementation you’ll ever encounter. Our Multi-Timeframe Recursive Zigzag Indicator is not just another tool; it's a groundbreaking advancement in technical analysis. 🎯 Key Features Multi Time-Frame Support - One of the rare open-source Zigzag indicators with robust multi-timeframe capabilities, this feature sets our tool apart, enabling a broader and more dynamic market analysis. Innovative Recursive Zigzag Algorithm - At its core is our unique Recursive Zigzag Algorithm, a pioneering development that powers multiple Zigzag levels, offering an intricate view of market movements. This proprietary algorithm is the backbone of our advanced pattern recognition indicators. Sub-Waves and Micro-Waves Analysis - Dive deeper into market trends with our Sub-Waves and Micro-Waves feature. Sub-Waves reveal the interconnectedness of various Zigzag levels, while Micro-Waves offer insight into the fundamental waves at the base level. Enhanced Indicator Tracking - Integrate and track your custom indicators or oscillators with the zigzag, capturing their values at each Zigzag level, complete with retracement ratios. This offers a comprehensive view of market dynamics. Curved Zigzag Visualization - Experience a new way of visualizing market movements with our Curved Zigzag Display, employing Pine Script’s polyline feature for a more intuitive and visually appealing representation. Built-in Customizable Alerts - Stay ahead with built-in alerts that can be customized via user input settings. 🎯 Practical Applications Our Zigzag Indicator is designed with an understanding of its inherent nature - the last unconfirmed pivot that consistently repaints. This characteristic, while by design, directs its usage more towards pattern recognition rather than direct identification of market tops and bottoms. Here's how you can leverage the Zigzag Indicator: Harmonic Patterns - Ideal for those familiar with harmonic patterns, this tool simplifies the manual spotting of complex XABCD, ABC, and ABCD patterns on charts. Chart Patterns - Effortlessly identify patterns like Double/Triple Taps, Head and Shoulders, Inverse Head and Shoulders, and Cup and Handle patterns with enhanced clarity. Navigate through challenging patterns such as Triangles, Wedges, Flags, and Price Channels, where the Zigzag Indicator adds a layer of precision to your breakout strategy. Elliott Wave Components - The indicator's detailed pivot highlighting aids in identifying key Elliott Wave components, enhancing your wave analysis and decision-making process. 🎲 Deep Dive into Indicator Features Join us as we explore the intricate features of our indicator in more detail. 🎯 Multi-Timeframe Capability Our indicator comes equipped with an input option for selecting the desired resolution. This unique feature allows users to view higher timeframe Zigzag patterns directly on their lower timeframe charts. 🎯 Recursive Multi Level Zigzag Our advanced recursive approach creates multi-level Zigzags from lower-level data. For instance, the level 0 Zigzag forms the base, calculated from specified length and depth parameters, while level 1 Zigzag is derived using level 0 as its foundation, and so forth. The indicator not only displays multiple Zigzag levels but also offers settings to emphasize specific levels for more detailed analysis. 🎯 Sub-Components and Micro-Components of Zigzag Wave Sub-components within a Zigzag wave consist of the previous level's Zigzag pivots. Meanwhile, the micro-components are composed of the base level (Level 0) Zigzag pivots encapsulated within the wave. 🎯 Curved Zigzag Experience a new perspective with our curved Zigzag display. This innovative feature utilizes the polyline curved option to automatically generate sinusoidal waves based on multiple points. 🎯 Indicator Tracking Default indicators such as RSI, MFI, and OBV are included, alongside the ability to track one external indicator at each Zigzag pivot. 🎯 Customizable Alerts Our indicator employs the `alert()` function for alert creation. While this means the absence of a customization text box in the alert settings, we've included a custom text area for users to create their own alert templates. Template placeholders include: {alertType} - type of alert. Either Confirmed Pivot Update or Last Pivot Update. Depends on the alert type selected in the inputs. When Last Pivot Update type is selected, the alerts are triggered whenever there is a new Zigzag Pivot. This may also be a repaint of last unconfirmed pivot. When Confirmed Pivot Update type is selected, the alerts are triggered only when a pivot becomes a confirmed pivot. {level} - Zigzag level on which the alert is triggered. {pivot} - Details of the last pivot or confirmed pivot including price, ratio, indicator values and ratios, subcomponent and micro-component pivots. 🎲 User Settings Overview 🎯 Zigzag and Generic Settings This involves some generic zigzag calculation settings such as length, depth, and timeframe. And few display options such as theme, Highlight Level and Curved Zigzag. By default, zigzag calculation is done based on the latest real time bar. An option is provided to disable this and use only confirmed bars for the calculation. Indicator Settings Allows users to track one or more oscillators or volume indicators. Option to add any indicator via external input is provided. 🎯 Alert Settings Has input fields required to select and customize alerts.
Pine Script® göstergesi
Trendoscope tarafından
22
Volatility Percentile (H-LINES)A simple script that adjusts the Volatility Percentile Indicator visibly in order to better accommodate entries/exits and certain trading setups/strategies. -------------------------------------------------------------------------------------------------------------------------------------------------------- TL;DR - Remember after a full reset, we are looking for initial crosses UP on the UpperSwingline and crosses DOWN on the LowerSwingline for primary and secondary signal derivation. Vice versa also works great but the prior method mentioned is a little more consistent in my experience, but you should mess around and optimise this for your own setups and strategies anyway. -------------------------------------------------------------------------------------------------------------------------------------------------------- ORIGINAL SCRIPT HERE: ^Click image for a redirect to that script. ALL CREDIT GOES TO: www.tradingview.com He wrote everything so give credit where it's due, good bit of kit this here script is. -------------------------------------------------------------------------------------------------------------------------------------------------------- HOW I USE MY VISUALLY ALTERED VERSION OF THIS SCRIPT First of all, the alterations I've made seem only to be consistently viable with renko charts though if you can get the sought after results using candles or any other chart type then perfect, but be wary. All my back-testing done only with LinReg, HMA and SWMA - ATR type settings exclusively on renko charts. The changes I've made to the original script essentially just turns it visibly into an oscillator and uses a couple horizontal lines to generate signals, very simple - absolutely nothing has changed in the actual code of calculating this indicator. What I believe my adjustments have achieved is quite simple. A full reset/oscillation on the indicator tries to map the strongest parts of a move or at least the part of the move where volume and the rate of transactions is at its peak to even facilitate said move. *take this statement with a pinch of salt though I do believe it's interacting with accumulation/distribution patterns, which is expected of volatility* For ease of communication let's refer to the area between the the first UpperSwingline cross to the subsequent LowerSwingline cross, as the primary move. Then afterwards when it crosses the UpperSwingline again to make the full reset, the area in between those two points referred to as the secondary move. Though more interestingly/practically the indicator ends up giving you two signals. In order for this to work we have to first decide that a spike up in volatility which crosses the UpperSwingline implies a significant level of interest at that price level. Usually that means a reversal is brewing, if price has already moved, trended and is approaching a certain area of value; which causes a spike of new positions to be taken, then you know that this is a level where contrarians are looking to enter. Now here's the tricky part, when volatility crosses the LowerSwingline price action becomes a little more open for interpretation, the way I personally like to look at this secondary signal is the potential for an exhaustion period to prolong itself a little longer. I know that's not the perfect analysis for what's going on, a more in-depth look into what's going on would best be described using Elliott Wave Theory, if a cross on the UpperSwingline near a significant area of value gives us a reversal trade lets just assume for the sake of argument that a new Elliott Wave can begin forming here. Making the move from that initial UpperSwngline cross to the cross on the LowerSwingline, the area that encompasses those two points: the impulse wave. After this point my analogy kind of falls apart and sadly my knowledge just isn't what it needs to be in order for me to properly analyse what's going on here but I must digress. Price after crossing the LowerSwingline up until the point where it makes a full reset by crossing the UpperSwingline again, within this area price seems to do either one of two things: Situation 1 - Most likely occurs after a major trend reversal from major support/resistance or area of value (price has trended to new territory, maybe spent time a little time consolidating but hasn't broken the key level, momentum shifts, price action breaks current structure and you get the signal that primary move is a reversal) = Exhaustion Period, price will continue in direction of primary move during the secondary move. This here is for our trend-followers, you wanna take a continuation trade? Just wait for the pullback/rally to hit a FiB retracement level and enter - or any other means to find a decent support/resistance to enter. Situation 2 - Most likely occurs when market enters a range or consolidation (price was previously seen as being at either a discount or premium so Situation 1 could have already played out and now you're looking at a full reset after that, imagine this spot to be the centre line of a linear regression channel or bang in the middle of your range, could even occur if price breaks a key moving average and decides it ought to consolidate around it for a while. Basically at any point where a somewhat prolonged consolidation is expected and not a quick reversal) = Corrective Wave, price will move against the direction of primary move during the secondary move. Now you might be expecting me to say this ones for you reversal traders but not really, if this is occurring then there probably isn't a definitive direction the market has chosen so you can use this opportunity to take range trades in the direction or against the direction of whatever the current trend or latest trend was depending on whatever slight bias you may have. <--- Situation 2 is very useful for finding cleaner entries if you do have a trend bias, say price underwent Situation 1, is now at key moving average but your bias is that it will break and continue up, so you wait and allow the secondary move of Situation 2 to take your entry to a much better R:R before entering a position. --------------------------------------------------------------------------------------------------------------------------------------------------------
Pine Script® göstergesi
D_dot_ZK tarafından
1
Elliot Wave Helper Table█  OVERVIEW This indicator is intend to be helper to help Elliot Wave user to properly Elliot Wave tools according to correct degree such as 12345 or ABCWXY. The abbreviation changes according to timeframe. █  FEATURES 1. Abbreviation degree adaptive to timeframe. Eg : Subminutte for 1 minute chart, etc. 2. Works for custom timeframe. Eg : Subminutte for 1 to 4 minute chart, etc. 3. Show reference table if necessary. █  REFERENCE Adaptive Elliot Wave Degree Chart █  EXAMPLES / USAGES
Pine Script® göstergesi
RozaniGhani-RG tarafından
4
Trend/Retracement - ZigZag - New wayZigZag for Trend and Retracements - New way It's another way to plot ZigZag based on lookback period for trend and % of trend lookback period to plot retracements. █ OVERVIEW Plot ZigZag, Trend lines, Retracements, Support levels, Resistance levels █ Objective: Draw ZigZag lines along with unbroken support and resistance levels. ZigZag lines are drawn for main trend and the retracements. Main Trend – This is calculated based on lookback period. Retracements – Retracements are calculated as 25% of main trend. Support and Resistance line: The indicator draws 2 types of support and resistance lines 1. Un-broken – Once formed (plotted), these are the support and resistance which are not yet broken 2. Tested – One can also choose to see support and resistance lines which are tested but not broken. Tested support/resistance are those levels which are touched by high/low price but close price has not crossed the level. █ How main trend point is calculated: E.g. Chart timeframe = 15m Lookback period = 250 Retracement = 25% of main trend ( 25% of 250 = 62 ) A price point on a chart is considered as trend point if distance between current price and previous highest price is 250 candles A price point is considered as a retracement if distance between current price and previous highest price is 62 candles. Please note retracements are calculated only after finding a main trend point. █ Input parameters: Zigzag Parameters Use predefined Lookback – If checked pre-defined timeframe-based lookback parameters are used. Trend lookback candles – If ‘Use predefined Lookback’ is unchecked then this value is used as lookback period. Retracement % of look back candles– If ‘Use predefined Lookback’ is unchecked then this value is used for calculating retracement lookback period Mark retracements – If unchecked only main trend lines are plotted Plot support/resistance – To plot support/resistance levels Show support/resistance tested lines – If checked tested support/resistance liens are shown on the chart █ TF based Lookback period config (Defaults are set as specified below, One can change these defaults to use different lookback periods) The defaults set here are used based on the chart timeframe. e.g. if chart timeframe is changed from say 15m to 60m then 60m chart defaults (i.e. trend lookback = 90) are used to plot the trend and the retracements. At the bottom-right of the chart, parameters used for plotting are displayed all the time. Timeframe in minute – Default = 5m Trend lookback candles – Default = 375 (~ 5 days of data) Timeframe in minute – Default = 15m Trend lookback candles – Default = 250 (~10 days of data) Timeframe in minute – Default = 60m Trend lookback candles = Default = 90 (~ 15 days of data) Trend lookback candles for timeframe 'D' – Default = 30 (~1 month data) Trend lookback candles for timeframe 'W' – Default = 21 (~6 months data) Trend lookback candles for timeframe 'M' – Default = 12 (~1year data) Retracement % of look back candles – Default = 25% █ When and where one can use this indicator (Refer to chart examples) To view support and resistance based on lookback period To view ZigZag lines One can use it to find chart patterns easily Trend and retracement lines can help in drawing Elliott waves. █ Chart examples: 1. Chart patterns can be easily identified - One can disable the candle charts which will help to identify and draw chart patterns easily 2. Trend and retracement lines can also help is analyzing charts (e.g. Elliott Waves can be marked based on trend lines) 3. Tested but not broken support and resistance lines can be viewed 4. You can select 'NOT' to plot tested support and resistance lines 5. Uncheck the Mark retracements to plot main trend lines (Retracements are not marked)
Pine Script® göstergesi
Sharad_Gaikwad tarafından
15
Time Wolna_2021_iun3[wozdux] Description of the Time_Wolna indicator The indicator is designed to study the behavior of time. There are many indicators that study just the price, a little less indicators that study the volume of trading and vanishingly few indicators that study time. This is not an oscillator, it does not have oversold or overbought levels. This indicator has an indefinite beginning and an indefinite end. Its value is not in the absolute values of the indicator, but in relative ones. This indicator calculates the time of price rise and the time of price decline. It clearly shows how long the price rises and how long the price falls. The initial idea was to use my RSIVol indicator to study the time. Each bar is counted as a unit of time. If the price rises during the period of one bar, then one is added, if the price falls, then one is subtracted. By default, the blue line shows this time movement according to the RsiVol indicator. The basic RsiVol indicator is shown at the bottom of the diagram. The bill goes along the blue line, which calculates the movement of the volume price. If the blue RSIVol line is above the yellow level, then the blue Time_Wolna time line is colored green. If the blue line in the base RsiVol indicator falls below the lower yellow level, then the blue time line of the Time_Wolna indicator turns red. The result is a broken line that clearly shows the waves of rising and falling prices. In principle, the time indicator makes it easier to recognize waves. It is known that time plays an important role in Elliott wave analysis, although in practice this is almost never done. The mention of Elliott is just a lyrical digression. Time is very difficult to study. This indicator does not give clear buy or sell signals. This is just an analysis tool to help analysts. In addition to the RsiVol indicator, simply the Rsi from the price and a simple moving average from the price are also used. So, the settings of this indicator. "switch Price == close <==> ( High+Low)/2" -- select the base price in all subsequent calculations "Key EMA=> True=ema(Price); False=ema(Price*Volume)" --The key for switching the moving average from the price or from the volume price. "T==> EMA(price, T)" --The period for calculating the moving average " key red==> Yes/No Rsi")--the key turns on or off the RSI line red line "key green==> Yes/No Orsi") --the key turns on or off the Volume RSI line green line " key olive==> Yes/No RsiVol200 " -- the key enables or disables the Volumetric RSIVol200 olive line. This is RsiVol minus the 200-period moving average. "keyVol blue==> Yes/No " - the key enables or disables the base blue line RSIVol "keyVol blue==> V->tt(RsiVol) ->tt(ema(Price))"—The blue line selection will be calculated as the time from RSIVol or as the time from the moving average EMA. "keyVol blue==> : 1=Time, 2=Time* price, 3=Time*(Ci-Ck) 4=Time*Volume, 5=Time*price*Volume")- selection for the blue baseline. By default, the time of the price rise or fall is calculated simply. Key=1. But you can investigate the joint influence of time and price and then the key is=2. If we study the combined effect of time and price changes per bar, then the key=3. If we study the joint influence of time and volume, then the key=4. If we study the joint influence of time, price and volume, then the key=5. "key RsiO red + green==> : 1=Time, 2=Time*Price, 3=Time*(Ci-Ck) 4=Time*Volume, 5=Time*Price*Volume") - - - similar settings for the red green line. By default, the time of the price rise or fall is calculated simply. Key=1. But you can investigate the joint influence of time and price and then the key is=2. If we study the combined effect of time and price changes per bar, then the key=3. If we study the joint influence of time and volume, then the key=4. If we study the joint influence of time, price and volume, then the key=5. "Key Color – - here you can disable changing the color of the blue line to green or red when the base indicator RsiVol exits above the upper and below the lower levels. "Level nul ==> * Down Level Rsi - screen configuration in order to raise or lower chart "Level nul ==> * Down Level ORsi -- beauty setup in order to raise or lower chart "Level nul ==> * DownLevel RsiVol200 -- beauty setup in order to raise or lower chart "blue =volume * price" – period for calculation of volumetric rates "blue => RSIVOL(Volume*price,len) and EMA" – the period for calculating RsiVol "blue__o1=> ema ( RSIVOL, o1)" – additional smoothing RsiVol "red=rsi (Price,14)" – the period for calculating Rsi "red= ema ( RSI ,3)" -- additional smoothing Rsi "fuchsia__ => RsiVol200 (vp,200)" - the period for calculating RsiVol200 "fuchsia__o2=> ema ( RSIVOL200 , o2)" -- additional smoothing RsiVol200 To study the time between two fixed dates. Setting the start point of the calculation and the end point of the calculation "Data(0)=Year" – the year of the start date "Data(0)= Month" – the month of the start date "Data (0)=Day" the day of the start date "Data(1)=Year" – the year of the end date. "Data(1)=Year" – month of the end date. "Data(1)=Day" -- the day of the end date. --------русский вариант описания ------ Описание индикатора Time_Wolna Индикатор призван изучать поведение времени. Есть много индикаторов изучающих просто цену, немного меньше индикаторов изучающих объем торгов и исчезающе мало индикаторов, изучающих время. Это не осциллятор у него нет уровней перепроданности или перекупленности. Данный индикатор имеет неопределенное начало и неопределенный конец. Ценность его не в абсолютных значениях индикатора, а в относительных. Этот индикатор высчитывает время подъема цены и время снижения цены. Он наглядно показывает сколько времени цена поднимается и сколько времени цена опускается. Первоначальная идея была использовать мой индикатор RSIVol для изучения времени. Каждый бар считается за единицу времени. Если цена поднимается за период одного бара, то прибавляется единица, если цена опускается, то вычитается единица. По умолчанию голубая линия показывает такое движения времени по индикатору RsiVol. Внизу на диаграмме показан базовый индикатор RsiVol. Счёт идет по синей линии, которая вычисляет движение объемной цены. Если синяя линия RSIVol находится выше желтого уровня, то голубая линия времени Time_Wolna окрашивается в зеленый цвет. Если синяя линия в базовом индикаторе RsiVol опускается ниже нижнего желтого уровня, то голубая линия времени индикатора Time_Wolna окрашивается в красный цвет. В результате получается ломанная линия, четко показывающая волны восхождения и снижения цены. В принципе индикатор времени позволяет легче распознавать волны. Известно, что время играет важную роль в волновом анализе Эллиотта, хотя на практике это почти никогда не делается. Упоминание Эллиотта это просто лирическое отступление. Время очень трудно изучать. Этот индикатор не дает четких сигналов на покупку или продажу. Это всего лишь инструмент анализа в помощь аналитикам. Кроме индикатора RsiVol, используются и просто Rsi от цены и простая скользящая средняя от цены. Итак, настройки данного индикатора. "switch Price == close <==> ( High+Low)/2" -- выбираем базовую цену во всех последующих вычислениях "Key EMA=> True=ema(Price); False=ema(Price*Volume)" --Ключ переключения скользящей средней от цены или от объемной цены. " T==> EMA(price,T)"--Период вычисления скользящей средней "key red==> Yes/No Rsi")--ключ включает или выключает линию RSI красная линия "key green==> Yes/No Orsi") --ключ включает или выключает линию Объемной RSI зеленая линия "key olive==> Yes/No RsiVol200" -- ключ включает или выключает линию Объемной RSIVol200 оливковая линия. Это RsiVol минус 200-периодная скользящая средняя. "keyVol blue==> Yes/No " – ключ включает или выключает базовую голубую линию RSIVol "keyVol blue==> V->tt(RsiVol) ->tt(ema(Price))"—выбор голубая линия будет вычисляться как время от RSIVol или как время от скользящей средней EMA. "keyVol blue==> : 1=Time, 2=Time* price, 3=Time*(Ci-Ck) 4=Time*Volume, 5=Time*price*Volume")—выбор для голубой базовой линии. По умолчанию вычисляется просто время подъема или опускания цены. Ключ=1. Но можно исследовать совместное влияние времени и цены и тогда ключ=2. Если изучаем совместное влияние времени и изменения цены за один бар, то ключ=3. Если изучаем совместное влияние времени и объема, то ключ=4. Если изучаем совместное влияние времени, цены и объема, то ключ=5. "key RsiO red + green==> : 1=Time, 2=Time*Price, 3=Time*(Ci-Ck) 4=Time*Volume, 5=Time*Price*Volume") ---аналогичные настройки для красной зеленой линии. По умолчанию вычисляется просто время подъема или опускания цены. Ключ=1. Но можно исследовать совместное влияние времени и цены и тогда ключ=2. Если изучаем совместное влияние времени и изменения цены за один бар, то ключ=3. Если изучаем совместное влияние времени и объема, то ключ=4. Если изучаем совместное влияние времени, цены и объема, то ключ=5. "Key Color" – здесь можно отключить изменение цвета голубой линии на зеленый или красный в моменты выхода базового индикатора RsiVol выше верхнего и ниже нижнего уровней. "Level nul ==> * Down Level Rsi - косметическая настройка для того, чтобы поднять или опустить график "Level nul ==> * Down Level ORsi -- косметическая настройка для того, чтобы поднять или опустить график "Level nul ==> * DownLevel RsiVol200 -- косметическая настройка для того, чтобы поднять или опустить график " blue =>volume * price" – период для вычисления объемной цены " blue => RSIVOL(Volume*price,len) and EMA" – период для вычисления RsiVol "blue__o1=> ema ( RSIVOL, o1)" – дополнительное сглаживание RsiVol " red=rsi (Price,14)" – период для вычисления Rsi " red= ema ( RSI ,3)" -- дополнительное сглаживание Rsi "fuchsia__ => RsiVol200 (vp,200)" -- период для вычисления RsiVol200 "fuchsia__o2=> ema ( RSIVOL200 , o2)" -- дополнительное сглаживание RsiVol200 Для исследования времени между двумя фиксированными датами. Задаем начальную точку вычисления и конечную точку вычисления "Data(0)=Year" – год начальной даты "Data(0)= Month" – месяц начальной даты "Data(0)=Day" день начальной даты "Data(1)=Year" – год конечной даты. "Data(1)=Year" – месяц конечной даты. "Data(1)=Day" -- день конечной даты.
Pine Script® göstergesi
wozdux tarafından
1
Confluence Zone Calculation for Support in Bullish TendsConfluence Zone Calculation for Support in Bullish Tends (or Restance in bearish ones) Ever wondered why sometimes the zag of an Elliot Wave zigzag is stopped after just a few points? (Like in the given Chart where I draw a line for a typical zag action.) It has often to do with confluence Zones. Most people think that the lower edge of a narrow range, repeated a few times, creates big support - confluence zones are stronger. You can make them visible by getting fibonaccis from just one specific high to several different significant lows (for example the range lines mentioned above). The areas where significant lows and their fibos appear very close together are confluence zones. They can brake a falling price like a security net. This script caluculates Confluence zones for you by using a second useful "secret": the secret that signifant lows test or create temporal rsi lows (vice-verse with highs). The thicker (non-aqua clored)lines show actual lows, are corresponding with those rsi lows, the thinner are fibo lines deriving from them. (The white line stands for the high taken for the calculation.) Note: Only those lines are valid which reach to the actual last bar. Best practise is to let the script calculate,then redraw your lines of interest by hand and get rid of the rest of the spider web-like turmoil of lines by deleting the script from the chart. Note further: I had to omit some calculations, because otherwise calculation time gets too long for TV and it stops with calculation Time out. (For your transparency I calculated all fibo codes but skipped some in "sline"-function; the number-suffix makes a jump when i omit a value ). Note further further: Resistance confluence lines for bullish trends need a different script, because if you do it totally right vou in this case work from a single LOW of your interes t. I hope it enriches your knowledge and is a help for your studies and tradings. Feedback and Questions welcome yoxxx
Pine Script® göstergesi
dep0tyoxxx tarafından
1
SMA/pivot/Bollinger/MACD/RSI en pantalla gráficoMulti-indicador con los indicadores que empleo más pero sin añadir ventanas abajo. Contiene: Cruce de 3 medias móviles La idea es no tenerlas en pantalla, pero están dibujadas también. Yo las dejo ocultas salvo que las quiera mirar para algo. Lo que presento en pantalla es la media lenta con verde si el cruce de las 3 marca alcista, amarillo si no está claro y rojo si marca bajista. Pivot Normalmente los tengo ocultos pero los muestro cuando me interesa. Están todos aunque aparezcan 2 seguidos. Bandas de Bollinger No dibujo la línea central porque empleo la media como tal. Parabollic SAR Lo empleo para dibujar las ondas de Elliott como postula Matías Menéndez Larre en el capítulo 11 de su libro "Las ondas de Elliott". Así que, aunque se puede mostrar, lo mantengo oculto y lo que muestro es dónde cambia (SAR cambio). MACD No está dibujado porque necesitaría sacarlo del gráfico. Marco en la parte superior cuándo la señal sobrepasa al MACD hacia arriba o hacia abajo con un flecha indicando el sentido de esta señal. RSI Similar al MACD pero en la parte inferior. Probablemente, programe otro indicador para visualizar en una ventanita MACD, RSI y volumen todo junto. El volumen en la principal hay veces que no te permite ver bien alguna sombra y los otros 2 te quitan mucho espacio para graficar si los tienes permanentemente en 2 ventanas separadas.
Pine Script® göstergesi
ambrosthegreat tarafından
4
Bill Williams Trading Chaos Vol 1-NoviceThis is a revision of a script developed by tekolo. I hope tekolo takes a look. The concepts are here but I struggle with pine. I am very much a novice, but I tried to put information from the original book, Trading Chaos, Volume One by Bill Williams. There are too many plots to get this to wor. I made a lot of plot lines into comments to get it to run. I'm hoping someone with an interest in this material and some programming skills will be kind enough to take these thoughts and put them in a script that the Pine Editor would actually run. Thanks for taking a look. I do believe in these leading indicators. This is information included for Novice Level Trading in the Bill Williams book. There are more indicators developed in his material, but the jest is that Price is an end result of the marketplace. Market participation (Volume), Market Bias (Momentum), Increased Participation and Bias (Acceleration) all preceed the formation of the Trend. This along with Elliott Wave interpretation using his indicators as a basis for locating key points of the Elliott Wave, are most of what I understand about this interesting man's work. Again, I am a novice at all of this, but the leading indicators that result in price seem interesting. Thanks!
Pine Script® göstergesi
Mack107 tarafından
2