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Bitcoin Monthly Seasonality [Alpha Extract]The Bitcoin Monthly Seasonality indicator analyzes historical Bitcoin price performance across different months of the year, enabling traders to identify seasonal patterns and potential trading opportunities. This tool helps traders: Visualize which months historically perform best and worst for Bitcoin. Track average returns and win rates for each month of the year. Identify seasonal patterns to enhance trading strategies. Compare cumulative or individual monthly performance. 🔶 CALCULATION The indicator processes historical Bitcoin price data to calculate monthly performance metrics Monthly Return Calculation Inputs: Monthly open and close prices. User-defined lookback period (1-15 years). Return Types: Percentage: (monthEndPrice / monthStartPrice - 1) × 100 Price: monthEndPrice - monthStartPrice Statistical Measures Monthly Averages: ◦ Average return for each month calculated from historical data. Win Rate: ◦ Percentage of positive returns for each month. Best/Worst Detection: ◦ Identifies months with highest and lowest average returns. Cumulative Option Standard View: Shows discrete monthly performance. Cumulative View: Shows compounding effect of consecutive months. Example Calculation (Pine Script): monthReturn = returnType == "Percentage" ? (monthEndPrice / monthStartPrice - 1) * 100 : monthEndPrice - monthStartPrice calcWinRate(arr) => winCount = 0 totalCount = array.size(arr) if totalCount > 0 for i = 0 to totalCount - 1 if array.get(arr, i) > 0 winCount += 1 (winCount / totalCount) * 100 else 0.0 🔶 DETAILS Visual Features Monthly Performance Bars: ◦ Color-coded bars (teal for positive, red for negative returns). ◦ Special highlighting for best (yellow) and worst (fuchsia) months. Optional Trend Line: ◦ Shows continuous performance across months. Monthly Axis Labels: ◦ Clear month names for easy reference. Statistics Table: ◦ Comprehensive view of monthly performance metrics. ◦ Color-coded rows based on performance. Interpretation Strong Positive Months: Historically bullish periods for Bitcoin. Strong Negative Months: Historically bearish periods for Bitcoin. Win Rate Analysis: Higher win rates indicate more consistently positive months. Pattern Recognition: Identify recurring seasonal patterns across years. Best/Worst Identification: Quickly spot the historically strongest and weakest months. 🔶 EXAMPLES The indicator helps identify key seasonal patterns Bullish Seasons: Visualize historically strong months where Bitcoin tends to perform well, allowing traders to align long positions with favorable seasonality. Bearish Seasons: Identify historically weak months where Bitcoin tends to underperform, helping traders avoid unfavorable periods or consider short positions. Seasonal Strategy Development: Create trading strategies that capitalize on recurring monthly patterns, such as entering positions in historically strong months and reducing exposure during weak months. Year-to-Year Comparison: Assess how current year performance compares to historical seasonal patterns to identify anomalies or confirmation of trends. 🔶 SETTINGS Customization Options Lookback Period: Adjust the number of years (1-15) used for historical analysis. Return Type: Choose between percentage returns or absolute price changes. Cumulative Option: Toggle between discrete monthly performance or cumulative effect. Visual Style Options: Bar Display: Enable/disable and customize colors for positive/negative bars, Line Display: Enable/disable and customize colors for trend line, Axes Display: Show/hide reference axes. Visual Enhancement: Best/Worst Month Highlighting: Toggle special highlighting of extreme months, Custom highlight colors for best and worst performing months. The Bitcoin Monthly Seasonality indicator provides traders with valuable insights into Bitcoin's historical performance patterns throughout the year, helping to identify potentially favorable and unfavorable trading periods based on seasonal tendencies.
อินดิเคเตอร์ Pine Script®
โดย AlphaExtract
3
My-Indicator - Global Liquidity & Money Supply M2 + Time OffsetThis script is designed to visualize a global liquidity and money supply index by combining data from various regions and, optionally, central bank activity. Visualizing this data on a chart allows you to see how central banks are intervening in the financial system and how the total amount of money in the economy is changing. Let’s take a look at how it works: Central Bank Liquidity Shows the actions of central banks (e.g. FED, ECB) providing short-term cash to commercial banks. If you see spikes or a steady increase in these indicators, it may suggest that liquidity is being increased through intervention, which often stimulates the market. Money Supply M2 money supply is a monetary aggregate that includes M1 (cash and current deposits) plus savings deposits, small term deposits, and other financial instruments that, while not as liquid as M1, can be quickly converted into cash. As a result, M2 provides a broader picture of the available money in the economy, which is useful for analyzing market conditions and potential economic trends. How does it help investors? It allows you to quickly see when central banks are injecting additional liquidity, which could signal higher prices. It allows you to see trends in the money supply, which informs potential changes in inflation and the economic cycle. Combining both sets of data provides a more complete picture – both in the short and long term – which makes it easier to predict upcoming price movements. This allows investors to better respond to changes in central bank policy and broader monetary trends, increasing their chances of making better investment decisions. Data Collection The script retrieves money supply data for key markets such as the USA (USM2), Europe (EUM2), China (CNM2), and Japan (JPM2). It also offers additional money supply series for other markets—like Canada (CAM2), Great Britain (GBM2), Russia (RUM2), Brazil (BRM2), Mexico (MXM2), and New Zealand (NZM2)—with extra options (e.g., Australia, India, Korea, Indonesia, Malaysia, Sweden) disabled by default. Moreover, you can enable data for central bank liquidity (such as FED, RRP, TGA, ECB, PBC, BOJ, and other central banks), which are also disabled by default. Index Calculation The indicator calculates the index by adding together all the enabled money supply series (and the central bank data if activated) and then scales the sum by dividing it by 1,000,000,000,000 (one trillion). This scaling makes the resulting values more manageable and easier to read on the chart. Time Offset Feature A key feature of the script is the time offset. With the input parameter "Time Offset (days)", the user can shift the plotted index line by a specific number of days. The script converts the given offset in days into a number of bars based on the current chart's timeframe. This allows you to adjust for the delay between liquidity changes and their effect on asset prices. Overall, the indicator plots a line on your chart representing the global liquidity and money supply index, allowing you to visually monitor trends and better understand how liquidity and central bank actions may influence market movements. What makes this script different from others? Every supported market—both major regions (USA, Eurozone, China, Japan, etc.) and additional ones—is available. You can toggle each series on or off, so you can view only Money Supply data, only Central Bank Liquidity, or any custom combination. Separated Data Groups. Inputs are organized into clear groups (“Money Supply”, “Other Money Supply”, “Central Bank Liquidity”), making it easy to focus on just the data you need without clutter. True Day‑Based Offset. This script converts your chosen “Time Offset (days)” into actual days regardless of timeframe. Whether you’re on a 5‑minute or daily chart, the index is always shifted by exactly the number of days you specify.
อินดิเคเตอร์ Pine Script®
โดย my-indicator
Bitcoin Polynomial Regression ModelThis is the main version of the script. Click here for the Oscillator part of the script. 💡Why this model was created: One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model). This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here . 📉The theory of diminishing returns: This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles. To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/ 🔧Creation of the model: For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section. This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function: ax^3 +bx^2 + cx + d. In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows: Top regression line (x, y) values: 113, 18.6 240, 1004 451, 19128 655, 65502 Bottom regression line (x, y) values: 103, 2.5 267, 211 471, 3193 676, 16255 The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found: Top regression line parameter values: a: 0.000202798 b: 0.0872922 c: -30.88805 d: 1827.14113 Bottom regression line parameter values: a: 0.000138314 b: -0.0768236 c: 13.90555 d: -765.8892 📊Polynomial Regression Oscillator: This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula: normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line) This transformation results in a price value between 0 and 1 between both the regression lines. The Oscillator version can be found here. 🔍Interpretation of the Model: In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom. The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom. Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below. 🔮Future Predictions: Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom: In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top. Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026. Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026. For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow: And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
อินดิเคเตอร์ Pine Script®
โดย Cryptonerds
Bitcoin Polynomial Regression OscillatorThis is the oscillator version of the script. Click here for the other part of the script. 💡Why this model was created: One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model). This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here . 📉The theory of diminishing returns: This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles. To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/ 🔧Creation of the model: For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section. This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function: ax^3 +bx^2 + cx + d. In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows: Top regression line (x, y) values: 113, 18.6 240, 1004 451, 19128 655, 65502 Bottom regression line (x, y) values: 103, 2.5 267, 211 471, 3193 676, 16255 The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found: Top regression line parameter values: a: 0.000202798 b: 0.0872922 c: -30.88805 d: 1827.14113 Bottom regression line parameter values: a: 0.000138314 b: -0.0768236 c: 13.90555 d: -765.8892 📊Polynomial Regression Oscillator: This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula: normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line) This transformation results in a price value between 0 and 1 between both the regression lines. 🔍Interpretation of the Model: In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom. The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom. Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below. 🔮Future Predictions: Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom: In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top. Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026. Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026. For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow: And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
อินดิเคเตอร์ Pine Script®
โดย Cryptonerds
Adaptive Trend FinderAdaptive Trend Finder - The Ultimate Trend Detection Tool Introducing Adaptive Trend Finder, the next evolution of trend analysis on TradingView. This powerful indicator is an enhanced and refined version of Adaptive Trend Finder (Log), designed to offer even greater flexibility, accuracy, and ease of use. What’s New? Unlike the previous version, Adaptive Trend Finder allows users to fully configure and adjust settings directly within the indicator menu, eliminating the need to modify chart settings manually. A major improvement is that users no longer need to adjust the chart's logarithmic scale manually in the chart settings; this can now be done directly within the indicator options, ensuring a smoother and more efficient experience. This makes it easier to switch between linear and logarithmic scaling without disrupting the analysis. This provides a seamless user experience where traders can instantly adapt the indicator to their needs without extra steps. One of the most significant improvements is the complete code overhaul, which now enables simultaneous visualization of both long-term and short-term trend channels without needing to add the indicator twice. This not only improves workflow efficiency but also enhances chart readability by allowing traders to monitor multiple trend perspectives at once. The interface has been entirely redesigned for a more intuitive user experience. Menus are now clearer, better structured, and offer more customization options, making it easier than ever to fine-tune the indicator to fit any trading strategy. Key Features & Benefits Automatic Trend Period Selection: The indicator dynamically identifies and applies the strongest trend period, ensuring optimal trend detection with no manual adjustments required. By analyzing historical price correlations, it selects the most statistically relevant trend duration automatically. Dual Channel Display: Traders can view both long-term and short-term trend channels simultaneously, offering a broader perspective of market movements. This feature eliminates the need to apply the indicator twice, reducing screen clutter and improving efficiency. Fully Adjustable Settings: Users can customize trend detection parameters directly within the indicator settings. No more switching chart settings – everything is accessible in one place. Trend Strength & Confidence Metrics: The indicator calculates and displays a confidence score for each detected trend using Pearson correlation values. This helps traders gauge the reliability of a given trend before making decisions. Midline & Channel Transparency Options: Users can fine-tune the visibility of trend channels, adjusting transparency levels to fit their personal charting style without overwhelming the price chart. Annualized Return Calculation: For daily and weekly timeframes, the indicator provides an estimate of the trend’s performance over a year, helping traders evaluate potential long-term profitability. Logarithmic Adjustment Support: Adaptive Trend Finder is compatible with both logarithmic and linear charts. Traders who analyze assets like cryptocurrencies, where log scaling is common, can enable this feature to refine trend calculations. Intuitive & User-Friendly Interface: The updated menu structure is designed for ease of use, allowing quick and efficient modifications to settings, reducing the learning curve for new users. Why is this the Best Trend Indicator? Adaptive Trend Finder stands out as one of the most advanced trend analysis tools available on TradingView. Unlike conventional trend indicators, which rely on fixed parameters or lagging signals, Adaptive Trend Finder dynamically adjusts its settings based on real-time market conditions. By combining automatic trend detection, dual-channel visualization, real-time performance metrics, and an intuitive user interface, this indicator offers an unparalleled edge in trend identification and trading decision-making. Traders no longer have to rely on guesswork or manually tweak settings to identify trends. Adaptive Trend Finder does the heavy lifting, ensuring that users are always working with the strongest and most reliable trends. The ability to simultaneously display both short-term and long-term trends allows for a more comprehensive market overview, making it ideal for scalpers, swing traders, and long-term investors alike. With its state-of-the-art algorithms, fully customizable interface, and professional-grade accuracy, Adaptive Trend Finder is undoubtedly one of the most powerful trend indicators available. Try it today and experience the future of trend analysis. This indicator is a technical analysis tool designed to assist traders in identifying trends. It does not guarantee future performance or profitability. Users should conduct their own research and apply proper risk management before making trading decisions. // Created by Julien Eche - @Julien_Eche
อินดิเคเตอร์ Pine Script®
โดย Julien_Eche
14
Fibonacci Cycle Finder🟩 Fibonacci Cycle Finder is an indicator designed to explore Fibonacci-based waves and cycles through visualization and experimentation, introducing a trigonometric approach to market structure analysis. Unlike traditional Fibonacci tools that rely on static horizontal levels, this indicator incorporates the dynamic nature of market cycles, using adjustable wavelength, phase, and amplitude settings to visualize the rhythm of price movements. By applying a sine function, it provides a structured way to examine Fibonacci relationships in a non-linear context. Fibonacci Cycle Finder unifies Fibonacci principles with a wave-based method by employing adjustable parameters to align each wave with real-time price action. By default, the wave begins with minimal curvature, preserving the structural familiarity of horizontal Fibonacci retracements. By adjusting the input parameters, the wave can subtly transition from a horizontal line to a more pronounced cycle,visualizing cyclical structures within price movement. This projective structure extends potential cyclical outlines on the chart, opening deeper exploration of how Fibonacci relationships may emerge over time. Fibonacci Cycle Finder further underscores a non-linear representation of price by illustrating how wave-based logic can uncover shifts that are missed by static retracement tools. Rather than imposing immediate oscillatory behavior, the indicator encourages a progressive approach, where the parameters may be incrementally modified to align wave structures with observed price action. This refinement process deepens the exploration of Fibonacci relationships, offering a systematic way to experiment with non-linear price dynamics. In doing so, it revisits fundamental Fibonacci concepts, demonstrating their broader adaptability beyond fixed horizontal retracements. 🌀 THEORY & CONCEPT 🌀 What if Fibonacci relationships could be visualized as dynamic waves rather than confined to fixed horizontal levels? Fibonacci Cycle Finder introduces a trigonometric approach to market structure analysis, offering a different perspective on Fibonacci-based cycles. This tool provides a way to visualize market fluctuations through cyclical wave motion, opening the door to further exploration of Fibonacci’s role in non-linear price behavior. Traditional Fibonacci tools, such as retracements and extensions, have long been used to identify potential support and resistance levels. While valuable for analyzing price trends, these tools assume linear price movement and rely on static horizontal levels. However, market fluctuations often exhibit cyclical tendencies , where price follows natural wave-like structures rather than strictly adhering to fixed retracement points. Although Fibonacci-based tools such as arcs, fans, and time zones attempt to address these patterns, they primarily apply geometric projections. The Fibonacci Cycle Finder takes a different approach by mapping Fibonacci ratios along structured wave cycles, aligning these relationships with the natural curvature of market movement rather than forcing them onto rigid price levels. Rather than replacing traditional Fibonacci methods, the Fibonacci Cycle Finder supplements existing Fibonacci theory by introducing an exploratory approach to price structure analysis. It encourages traders to experiment with how Fibonacci ratios interact with cyclical price structures, offering an additional layer of insight beyond static retracements and extensions. This approach allows Fibonacci levels to be examined beyond their traditional static form, providing deeper insights into market fluctuations. 📊 FIBONACCI WAVE IMPLEMENTATION 📊 The Fibonacci Cycle Finder uses two user-defined swing points, A and B, as the foundation for projecting these Fibonacci waves. It first establishes standard horizontal levels that correspond to traditional Fibonacci retracements, ensuring a baseline reference before wave adjustments are applied. By default, the wave is intentionally subtle— Wavelength is set to 1 , Amplitude is set to 1 , and Phase is set to 0 . In other words, the wave starts as “stretched out.” This allows a slow, measured start, encouraging users to refine parameters incrementally rather than producing abrupt oscillations. As these parameters are increased, the wave takes on more distinct sine and cosine characteristics, offering a flexible approach to exploring Fibonacci-based cyclicity within price action. Three parameters control the shape of the Fibonacci wave: 1️⃣ Wavelength Controls the horizontal spacing of the wave along the time axis, determining the length of one full cycle from peak to peak (or trough to trough). In this indicator, Wavelength acts as a scaling input that adjusts how far the wave extends across time, rather than a strict mathematical “wavelength.” Lower values further stretch the wave, increasing the spacing between oscillations, while higher values compress it into a more frequent cycle. Each full cycle is divided into four quarter-cycle segments, a deliberate design choice to minimize curvature by default. This allows for subtle oscillations and smoother transitions, preventing excessive distortion while maintaining flexibility in wave projections. The wavelength is calculated relative to the A-B swing, ensuring that its scale adapts dynamically to the selected price range. 2️⃣ Amplitude Defines the vertical displacement of the wave relative to the baseline Fibonacci level. Higher values increase the height of oscillations, while lower values reduce the height, Negative values will invert the wave’s initial direction. The amplitude is dynamically applied in relation to the A-B swing direction, ensuring that an upward swing results in upward oscillations and a downward swing results in downward oscillations. 3️⃣ Phase Shifts the wave’s starting position along its cycle, adjusting alignment relative to the swing points. A phase of 0 aligns with a sine wave, where the cycle starts at zero and rises. A phase of 25 aligns with a cosine wave, starting at a peak and descending. A phase of 50 inverts the sine wave, beginning at zero but falling first, while a phase of 75 aligns with an inverted cosine , starting at a trough and rising. Intermediate values between these phases create gradual shifts in wave positioning, allowing for finer alignment with observed market structures. By fine-tuning these parameters, users can adapt Fibonacci waves to better reflect observed market behaviors. The wave structure integrates with price movements rather than simply overlaying static levels, allowing for a more dynamic representation of cyclical price tendencies. This indicator serves as an exploratory tool for understanding potential market rhythms, encouraging traders to test and visualize how Fibonacci principles extend beyond their traditional applications. 🖼️ CHART EXAMPLES 🖼️ Following this downtrend, price interacts with curved Fibonacci levels, highlighting resistance at the 0.236 and 0.382 levels, where price stalls before pulling back. Support emerges at the 0.5, 0.618, and 0.786 levels, where price finds stability and rebounds In this Fibonacci retracement, price initially finds support at the 1.0 level, following the natural curvature of the cycle. Resistance forms at 0.786, leading to a pullback before price breaks through and tests 0.618 as resistance. Once 0.618 is breached, price moves upward to test 0.5, illustrating how Fibonacci-based cycles may align with evolving market structure beyond static, horizontal retracements. Following this uptrend, price retraces downward and interacts with the Fibonacci levels, demonstrating both support and resistance at key levels such as 0.236, 0.382, 0.5, and 0.618. With only the 0.5 and 1.0 levels enabled, this chart remains uncluttered while still highlighting key price interactions. The short cycle length results in a mild curvature, aligning smoothly with market movement. Price finds resistance at the 0.5 level while showing strong support at 1.0, which follows the natural flow of the market. Keeping the focus on fewer levels helps maintain clarity while still capturing how price reacts within the cycle. 🛠️ CONFIGURATION AND SETTINGS 🛠️ Wave Parameters Wavelength : Stretches or compresses the wave along the time axis, determining the length of one full cycle. Higher values extend the wave across more bars, while lower values compress it into a shorter time frame. Amplitude : Expands or contracts the wave along the price axis, determining the height of oscillations relative to Fibonacci levels. Higher values increase the vertical range, while negative values invert the wave’s initial direction. Phase : Offsets the wave along the time axis, adjusting where the cycle begins. Higher values shift the starting position forward within the wave pattern. Fibonacci Levels Levels : Enable or disable specific Fibonacci levels (0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0) to focus on relevant price zones. Color : Modify level colors for enhanced visual clarity. Visibility Trend Line/Color : Toggle and customize the trend line connecting swing points A and B. Setup Lines : Show or hide lines linking Fibonacci levels to projected waves. A/B Labels Visibility : Control the visibility of swing point labels. Left/Right Labels : Manage the display of Fibonacci level labels on both sides of the chart. Fill % : Adjust shading intensity between Fibonacci levels (0% = no fill, 100% = maximum fill). A and B Points (Time/Price): These user-defined anchor points serve as the basis for Fibonacci wave calculations and can be manually set. A and B points can also be adjusted directly on the chart, with automatic synchronization to the settings panel, allowing for seamless modifications without needing to manually input values. ⚠️ DISCLAIMER ⚠️ The Fibonacci Cycle Finder is a visual analysis tool designed to illustrate Fibonacci relationships and serve as a supplement to traditional Fibonacci tools. While the indicator employs mathematical and geometric principles, no guarantee is made that its calculations will align with other Fibonacci tools or proprietary methods. Like all technical and visual indicators, the Fibonacci levels generated by this tool may appear to visually align with key price zones in hindsight. However, these levels are not intended as standalone signals for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis. 🧠 BEYOND THE CODE 🧠 Fibonacci Cycle Finder is the latest indicator in the Fibonacci Geometry Series. Building on the concepts of the Fibonacci Time-Price Zones and the Fibonacci 3-D indicators, this tool introduces a trigonometric approach to market structure analysis. The Fibonacci Cycle Finder indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Your feedback and insights are invaluable to refining and enhancing the Fibonacci Cycle Finder indicator. We look forward to the creative applications, observations, and discussions this tool inspires within the trading community.
อินดิเคเตอร์ Pine Script®
โดย xxattaxx
5
Monthly Drawdowns and Moves UP This script allows users to analyze the performance of a specific month across multiple years, focusing on maximum drawdowns and maximum upward moves within the selected month. The script offers the following features: Dynamic Month Selection : Choose any month to analyze using an intuitive dropdown menu. Maximum Drawdown and Upward Move Calculations : Calculate the largest percentage drop (drawdown) and rise (move up) for the selected month each year. Visual Highlights : The selected month is visually highlighted on the chart with a semi-transparent overlay. Dynamic Labels: Labels display the maximum drawdown and upward move directly on the chart for better visualization. Comprehensive Table Summary: A table provides a year-by-year summary of the maximum drawdowns and upward moves for the selected month, making it easy to spot trends over time. Customizable Display Options: Toggle the visibility of drawdown labels, move-up labels, and the summary table for a clutter-free experience. This tool is perfect for traders and analysts looking to identify seasonal patterns, assess risk and opportunity, and gain deeper insights into monthly performance metrics across years. Customize, explore, and make informed decisions with this powerful Pine Script indicator.
อินดิเคเตอร์ Pine Script®
โดย CanIGetARoar
Weighted Fourier Transform: Spectral Gating & Main Frequency🙏🏻 This drop has 2 purposes: 1) to inform every1 who'd ever see it that Weighted Fourier Tranform does exist, while being available nowhere online, not even in papers, yet there's nothing incredibly complicated about it, and it can/should be used in certain cases; 2) to show TradingView users how they can use it now in dem endevours, to show em what spectral filtering is, and what can they do with all of it in diy mode. ... so we gonna have 2 sections in the description Section 1: Weighted Fourier Transform It's quite easy to include weights in Fourier analysis: you just premultiply each datapoint by its corresponding weight -> feed to direct Fourier Transform, and then divide by weights after inverse Fourier transform. Alternatevely, in direct transform you just multiply contributions of each data point to the real and imaginary parts of the Fourier transform by corresponding weights (in accumulation phase), and in inverse transform you divide by weights instead during the accumulation phase. Everything else stays the same just like in non-weighted version. If you're from the first target group let's say, you prolly know a thing or deux about how to code & about Fourier Transform, so you can just check lines of code to see the implementation of Weighted Discrete version of Fourier Transform, and port it to to any technology you desire. Pine Script is a developing technology that is incredibly comfortable in use for quant-related tasks and anything involving time series in general. While also using Python for research and C++ for development, every time I can do what I want in Pine Script, I reach for it and never touch matlab, python, R, or anything else. Weighted version allows you to explicetly include order/time information into the operation, which is essential with every time series, although not widely used in mainstream just as many other obvious and right things. If you think deeply, you'll understand that you can apply a usual non-weighted Fourier to any 2d+ data you can (even if none of these dimensions represent time), because this is a geometric tool in essence. By applying linearly decaying weights inside Fourier transform, you're explicetly saying, "one of these dimensions is Time, and weights represent the order". And obviously you can combine multiple weightings, eg time and another characteristic of each datum, allows you to include another non-spatial dimension in your model. By doing that, on properly processed (not only stationary but Also centered around zero data), you can get some interesting results that you won't be able to recreate without weights: ^^ A sine wave, centered around zero, period of 16. Gray line made by: DWFT (direct weighted Fourier transform) -> spectral gating -> IWFT (inverse weighted Fourier transform) -> plotting the last value of gated reconstructed data, all applied to expanding window. Look how precisely it follows the original data (the sine wave) with no lag at all. This can't be done by using non-weighted version of Fourier transform. ^^ spectral filtering applied to the whole dataset, calculated on the latest data update And you should never forget about Fast Fourier Transform, tho it needs recursion... Section 2: About use cases for quant trading, about this particular implementaion in Pine Script 6 (currently the latest version as of Friday 13, December 2k24). Given the current state of things, we have certain limits on matrix size on TradingView (and we need big dope matrixes to calculate polynomial regression -> detrend & center our data before Fourier), and recursion is not yet available in Pine Script, so the script works on short datasets only, and requires some time. A note on detrending. For quality results, Fourier Transform should be applied to not only stationary but also centered around zero data. The rightest way to do detrending of time series is to fit Cumulative Weighted Moving Polynomial Regression (known as WLSMA in some narrow circles xD) and calculate the deltas between datapoint at time t and this wonderful fit at time t. That's exactly what you see on the main chart of script description: notice the distances between chart and WLSMA, now look lower and see how it matches the distances between zero and purple line in WFT study. Using residuals of one regression fit of the whole dataset makes less sense in time series context, we break some 'time' and order rules in a way, tho not many understand/cares abouit it in mainstream quant industry. Two ways of using the script: Spectral Gating aka Spectral filtering. Frequency domain filtering is quite responsive and for a greater computational cost does not introduce a lag the way it works with time-domain filtering. Works this way: direct Fourier transform your data to get frequency & phase info -> compute power spectrum out of it -> zero out all dem freqs that ain't hit your threshold -> inverse Fourier tranform what's left -> repeat at each datapoint plotting the very first value of reconstructed array*. With this you can watch for zero crossings to make appropriate trading decisions. ^^ plot Freq pass to use the script this way, use Level setting to control the intensity of gating. These 3 only available values: -1, 0 and 1, are the general & natural ones. * if you turn on labels in script's style settings, you see the gray dots perfectly fitting your data. They get recalculated (for the whole dataset) at each update. You call it repainting, this is for analytical & aesthetic purposes. Included for demonstration only. Finding main/dominant frequency & period. You can use it to set up Length for your other studies, and for analytical purposes simply to understand the periodicity of your data. ^^ plot main frequency/main period to use the script this way. On the screenshot, you can see the script applied to sine wave of period 16, notice how many datapoints it took the algo to figure out the signal's period quite good in expanding window mode Now what's the next step? You can try applying signal windowing techniques to make it all less data-driven but your ego-driven, make a weighted periodogram or autocorrelogram (check Wiener-Khinchin Theorem ), and maybe whole shiny spectrogram? ... you decide, choice is yours, The butterfly reflect the doors ... ∞
อินดิเคเตอร์ Pine Script®
โดย gorx1
6
2-Year MA Multiplier [UAlgo]The 2-Year MA Multiplier is a technical analysis tool designed to assist traders and investors in identifying potential overbought and oversold conditions in the market. By plotting the 2-year moving average (MA) of an asset's closing price alongside an upper band set at five times this moving average, the indicator provides visual cues to assess long-term price trends and significant market movements. 🔶 Key Features 2-Year Moving Average (MA): Calculates the simple moving average of the asset's closing price over a 730-day period, representing approximately two years. Visual Indicators: Plots the 2-year MA in forest green and the upper band in firebrick red for clear differentiation. Fills the area between the 2-year MA and the upper band to highlight the normal trading range. Uses color-coded fills to indicate overbought (tomato red) and oversold (cornflower blue) conditions based on the asset's closing price relative to the bands. 🔶 Idea The concept behind the 2-Year MA Multiplier is rooted in the cyclical nature of markets, particularly in assets like Bitcoin. By analyzing long-term price movements, the indicator aims to identify periods of significant deviation from the norm, which may signal potential buying or selling opportunities. 2-year MA smooths out short-term volatility, providing a clearer view of the asset's long-term trend. This timeframe is substantial enough to capture major market cycles, making it a reliable baseline for analysis. Multiplying the 2-year MA by five establishes an upper boundary that has historically correlated with market tops. When the asset's price exceeds this upper band, it may indicate overbought conditions, suggesting a potential for price correction. Conversely, when the price falls below the 2-year MA, it may signal oversold conditions, presenting potential buying opportunities. 🔶 Disclaimer Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
อินดิเคเตอร์ Pine Script®
โดย UAlgo
1
Weekly Stacked Daily Changes [LuxAlgo]The Weekly Stacked Daily Changes tool allows traders to compare daily net price changes for each day of the week, stacked by week. It provides a very convenient way to compare daily and weekly volatility at the same time. 🔶 USAGE The tool requires no configuration and works perfectly out of the box, displaying the net price change for each day of the week as stacked boxes of the appropriate size. Traders can adjust the width of the columns and the spacing between days and weeks, options to change the color and disable the months and new month lines are also available. 🔹 Bottom Stack Bias This feature allows traders to compare weekly volatility in two different ways. With this feature disabled, all weeks use zero as the bottom of the stack, so traders can see at a glance weeks with more volatility and weeks with less volatility. Enabling this feature will cause the tool to display the stacks with the weekly net price change as the bottom, so if a stack starts below the zero line it means that week has a negative net return, and if it starts above the zero line it means that week has a positive net return. 🔶 SETTINGS Width: Select the fixed width for each column. Offset: Choose the fixed width between each column. Spacing: Select the distance between each day within each column. 🔹 Style Bottom Stack Bias: Use weekly net price change as the bottom of the stack. Bullish Change: Color for days with positive net price change Bearish Change: Color for days with negative net price change Show Months: Under each week stack, display the month Show Months Delimiter: Display a line indicating the start of a new month
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
4
[TheMandalor] Invert or Mirror Chart SUPPORT RESSISTANTThis is a new idea to find supports and resistant’s for any charts. What is the concept of this indicator: 1. It is used close and inverted it on chart 2. When the real chart and the inverted chart is crossing together several times, this point will be important on this concept that means the price will care about this point again and again. 3. When you draw a horizontal line as support and resistance check it with this indicator too, if your support and resistance is touched with inverted chart, it will be more important than normal support/ resistance. 4. This indicator has plot candle too, it means you can compare regular chart with the inverted one at same time if you need. Here is the steps: 1. When you add the indicator to your chart it will add your ticker as inverted. 2. Change your chart type to line chart. 3. Fix your scale in both sides left and right (the indicator's side is on the left). 4. Now you must have two type of line charts, one is yours (The blue one) and one is plotted with this indicator (The purple one). 5. Draw a horizontal line where these two lines have more crossing at the middle of chart, this line will be a powerful line later. 6. Find other more crossed points and draw horizontal line for them too. 7. Now you can see these indicator's support and resistant’s, now you can remove the indicator and watch how the price will touch, reverse, or stay on your new type of support and resistant’s lines. PS: I have added candle plotting too if you need it.
อินดิเคเตอร์ Pine Script®
โดย TheMandalor
Hodrick-Prescott Cycle Component (YavuzAkbay)The Hodrick-Prescott Cycle Component indicator in Pine Script™ is an advanced tool that helps traders isolate and analyze the cyclical deviations in asset prices from their underlying trend. This script calculates the cycle component of the price series using the Hodrick-Prescott (HP) filter, allowing traders to observe and interpret the short-term price movements around the long-term trend. By providing two views—Percentage and Price Difference—this indicator gives flexibility in how these cyclical movements are visualized and interpreted. What This Script Does This indicator focuses exclusively on the cycle component of the price, which is the deviation of the current price from the long-term trend calculated by the HP filter. This deviation (or "cycle") is what traders analyze for mean-reversion opportunities and overbought/oversold conditions. The script allows users to see this deviation in two ways: Percentage Difference: Shows the deviation as a percentage of the trend, giving a normalized view of the price’s distance from its trend component. Price Difference: Shows the deviation in absolute price terms, reflecting how many price units the price is above or below the trend. How It Works Trend Component Calculation with the HP Filter: Using the HP filter, the script isolates the trend component of the price. The smoothness of this trend is controlled by the smoothness parameter (λ), which can be adjusted by the user. A higher λ value results in a smoother trend, while a lower λ value makes it more responsive to short-term changes. Cycle Component Calculation: Percentage Deviation (cycle_pct) calculated as the difference between the current price and the trend, divided by the trend, and then multiplied by 100. This metric shows how far the price deviates from the trend in relative terms. Price Difference (cycle_price) simply the difference between the current price and the trend component, displaying the deviation in absolute price units. Conditional Plotting: The user can choose to view the cycle component as either a percentage or a price difference by selecting the Display Mode input. The indicator will plot the chosen mode in a separate pane, helping traders focus on the preferred measure of deviation. How to Use This Indicator Identify Overbought/Oversold Conditions: When the cycle component deviates significantly from the zero line (shown with a dashed horizontal line), it may indicate overbought or oversold conditions. For instance, a high positive cycle component suggests the price may be overbought relative to the trend, while a large negative cycle suggests potential oversold conditions. Mean-Reversion Strategy: In mean-reverting markets, traders can use this indicator to spot potential reversal points. For example, if the cycle component shows an extreme deviation from zero, it could signal that the price is likely to revert to the trend. This can help traders with entry and exit points when the asset is expected to correct back toward its trend. Trend Strength and Cycle Analysis: By comparing the magnitude and duration of deviations, traders can gauge the strength of cycles and assess if a new trend might be forming. If the cycle component remains consistently positive or negative, it may indicate a persistent market bias, even as prices fluctuate around the trend. Percentage vs. Price Difference Views: Use the Percentage Difference mode to standardize deviations and compare across assets or different timeframes. This is especially helpful when analyzing assets with varying price levels. Use the Price Difference mode when an absolute deviation (price units) is more intuitive for spotting overbought/oversold levels based on the asset’s actual price. Using with Hodrick-Prescott: You can also use Hodrick-Prescott, another indicator that I have adapted to the Tradingview platform, to see the trend on the chart, and you can also use this indicator to see how far the price is deviating from the trend. This gives you a multifaceted perspective on your trades. Practical Tips for Traders Set the Smoothness Parameter (λ): Adjust the λ parameter to match your trading timeframe and asset characteristics. Lower values make the trend more sensitive, which might suit short-term trading, while higher values smooth out the trend for long-term analysis. Cycle Component as Confirmation: Combine this indicator with other momentum or trend indicators for confirmation of overbought/oversold signals. For example, use the cycle component with RSI or MACD to validate the likelihood of mean-reversion. Observe Divergences: Divergences between price movements and the cycle component can indicate potential reversals. If the price hits a new high, but the cycle component shows a smaller deviation than previous highs, it could signal a weakening trend.
อินดิเคเตอร์ Pine Script®
โดย YavuzAkbay
Weierstrass Function (Fractal Cycles)THE WEIERSTRASS FUNCTION f(x) = ∑(n=0)^∞ a^n * cos(b^n * π * x) The Weierstrass Function is the sum of an infinite series of cosine functions, each with increasing frequency and decreasing amplitude. This creates powerful multi-scale oscillations within the range ⬍(-2;+2), resembling a system of self-repetitive patterns. You can zoom into any part of the output and observe similar proportions, mimicking the hidden order behind the irregularity and unpredictability of financial markets. IT DOESN’T RELY ON ANY MARKET DATA, AS THE OUTPUT IS BASED PURELY ON A MATHEMATICAL FORMULA! This script does not provide direct buy or sell signals and should be used as a tool for analyzing the market behavior through fractal geometry. The function is often used to model complex, chaotic systems, including natural phenomena and financial markets. APPLICATIONS: Timing Aspect: Identifies the phases of market cycles, helping to keep awareness of frequency of turning points Price-Modeling features: The Amplitude, frequency, and scaling settings allow the indicator to simulate the trends and oscillations. Its nowhere-differentiable nature aligns with the market's inherent uncertainty. The fractured oscillations resemble sharp jumps, noise, and dips found in volatile markets. SETTINGS Amplitude Factor (a): Controls the size of each wave. A higher value makes the waves larger. Frequency Factor (b): Determines how fast the waves oscillate. A higher value creates more frequent waves. Ability to Invert the output: Just like any cosine function it starts its journey with a decline, which is not distinctive to the behavior of most assets. The default setting is in "inverted mode". Scale Factor: Adjusts the speed at which the oscillations grow over time. Number of Terms (n_terms): Increases the number of waves. More terms add complexity to the pattern.
อินดิเคเตอร์ Pine Script®
โดย fract
4
Atlantean Bitcoin Weekly Market Condition - Top/Bottom BTC Overview: The "Atlantean Bitcoin Weekly Market Condition Detector - Top/Bottom BTC" is a specialized TradingView indicator designed to identify significant turning points in the Bitcoin market on a weekly basis. By analyzing long-term and short-term moving averages across two distinct resolutions, this indicator provides traders with valuable insights into potential market bottoms and tops, as well as the initiation of bull markets. Key Features: Market Bottom Detection: The script uses a combination of a simple moving average (SMA) and an exponential moving average (EMA) calculated over long and short periods to identify potential market bottoms. When these conditions are met, the script signals a "Market Bottom" label on the chart, indicating a possible buying opportunity. Bull Market Start Indicator: When the short-term EMA crosses above the long-term SMA, it signals the beginning of a bull market. This is marked by a "Bull Market Start" label on the chart, helping traders to prepare for potential market upswings. Market Top Detection: The script identifies potential market tops by analyzing the crossunder of long and short-term moving averages. A "Market Top" label is plotted, suggesting a potential selling point. Customizable Moving Averages Display: Users can choose to display the moving averages used for detecting market tops and bottoms, providing additional insights into market conditions. How It Works: The indicator operates by monitoring the interactions between the specified moving averages: Market Bottom: Detected when the long-term SMA (adjusted by a factor of 0.745) crosses over the short-term EMA. Bull Market Start: Detected when the short-term EMA crosses above the long-term SMA. Market Top: Detected when the long-term SMA (adjusted by a factor of 2) crosses under the short-term SMA. These conditions are highlighted on the chart, allowing traders to visualize significant market events and make informed decisions. Intended Use: This indicator is best used on weekly Bitcoin charts. It’s designed to provide long-term market insights rather than short-term trading signals. Traders can use this tool to identify strategic entry and exit points during major market cycles. The optional display of moving averages can further enhance understanding of market dynamics. Originality and Utility: Unlike many other indicators, this script not only highlights traditional market tops and bottoms but also identifies the aggressive start of bull markets, offering a comprehensive view of market conditions. The unique combination of adjusted moving averages makes this script a valuable tool for long-term Bitcoin traders. Disclaimer: The signals provided by this indicator are based on historical data and mathematical calculations. They do not guarantee future market performance. Traders should use this tool as part of a broader trading strategy and consider other factors before making trading decisions. Not financial advice. Happy Trading! By Atlantean
อินดิเคเตอร์ Pine Script®
โดย Atlantean_Trade
Ehlers Band-Pass FilterHeyo, This indicator is an original translation from Ehlers' book "Cycle Analytics for Traders Advanced". First, I describe the indicator as usual and later you can find a very insightful quote of the book. Key Features Signal Line: Represents the output of the band-pass filter, highlighting the dominant cycle in the data. Trigger Line: A leading indicator derived from the signal line, providing early signals for potential market reversals. Dominant Cycle: Measures the dominant cycle period by counting the number of bars between zero crossings of the band-pass filter output. Calculation: The band-pass filter is implemented using a combination of high-pass and low-pass filters. The filter's parameters, such as period and bandwidth, can be adjusted to tune the filter to specific market cycles. The signal line is normalized using an Automatic Gain Control (AGC) to provide consistent amplitude regardless of price swings. The trigger line is derived by applying a high-pass filter to the signal line, creating a leading waveform. Usage The indicator is effective in identifying peaks and valleys in the market data. It works best in cyclic market conditions and may produce false signals during trending periods. The dominant cycle measurement helps traders understand the prevailing market cycle length, aiding in better decision-making. Quoted from the Book Band-Pass Filters “A little of the data narrowly passed,” said Tom broadly. Perhaps the least appreciated and most underutilized filter in technical analysis is the band-pass filter. The band-pass filter simultaneously diminishes the amplitude at low frequencies, qualifying it as a detrender, and diminishes the amplitude at high frequencies, qualifying it as a data smoother. It passes only those frequency components from input to output in which the trader is interested. The filtering produced by a band-pass filter is superior because the rejection in the stop bands is related to its bandwidth. The degree of rejection of undesired frequency components is called selectivity. The band-stop filter is the dual of the band-pass filter. It rejects a band of frequency components as a notch at the output and passes all other frequency components virtually unattenuated. Since the bandwidth of the deep rejection in the notch is relatively narrow and since the spectrum of market cycles is relatively broad due to systemic noise, the band-stop filter has little application in trading. Measuring the Cycle Period The band-pass filter can be used as a relatively simple measurement of the dominant cycle. A cycle is complete when the waveform crosses zero two times from the last zero crossing. Therefore, each successive zero crossing of the indicator marks a half cycle period. We can establish the dominant cycle period as twice the spacing between successive zero crossings. When we measure the dominant cycle period this way, it is best to widen the pass band of the band-pass filter to avoid distorting the measurement simply due to the selectivity of the filter. Using an input bandwidth of 0.7 produces an octave-wide pass band. For example, if the center period of the filter is 20 and the relative bandwidth is 0.7, the bandwidth is 14. That means the pass band of the filter extends from 13-bar periods to 27-bar periods. That is, roughly an octave exists because the longest period is twice the shortest period of the pass band. It is imperative that a high-pass filter is tuned one octave below the half-bandwidth edge of the band-pass filter to ensure a nominal zero mean of the filtered output. Without a zero mean, the zero crossings can have a substantial error. Since the measurement of the dominant cycle can vary dramatically from zero crossing to zero crossing, the code limits the change between measurements to be no more than 25 percent. While measuring the changing dominant cycle period via zero crossings of the band-pass waveform is easy, it is not necessarily the most accurate method. Best regards, simwai Good Luck with your trading! 🙌
อินดิเคเตอร์ Pine Script®
โดย simwai
Fibonacci Time PeriodsThe " Fibonacci Time Periods " indicator uses power exponents of the constant Phi based on your custom time period to generate Fibonacci sequence-based progression on a given chart. This tool can help to anticipate the timing of potential turning points by highlighting Fib time zones where significant price movements may occur. It is different from other alternatives specifically for the ability to alter the rate of progression . Most famous regular Fib sequence expands with 1.618^(n+1) rate which produces vast change just after few iterations. Those ever-expanding big intervals don't allow us to cover the smaller details of the chart which we might find crucial. So, the idea was born to break down the constant Phi to a self-fraction using power exponents. In other words, reducing rate of progression to make the expansion more gradual without losing properties of Fibonacci proportions. Default settings have a rate of 0.25 which is basically Phi^1/4 That means we expect 4x more lines than in regular sequence to cover missing bits owing to formula: 1.618^(0.25*(n+1)) (Line 0.618 is added to enhance visual orientation and perception of proportions) How it works: Exponential rate of progression First, it works out the difference between your custom start (0) and end (1) period The result is multiplied by 1.618^rate to get the step Rest lines are created by iterations. For instance, with default rate of 0.25, the 1st generated line = start + (End-Start)*1.618^0.25* 1 , second line = start + (End-Start)*1.618^0.25* 2 , etc. If we change the rate to 1 it will produce the regular fib sequence with 1.618^(n+1) rate Fixed rate of progression: In this mode, when rate is 0.25, it grows exactly with exponent step of 0.25 so first, second, third, etc generated lines also have the fixed exponent of 0.25. The distance between lines do not expand. How to use: Set the start and end dates Choose the type of progression Choose your desired rate of progression Customize the colors to match your chart preferences. Observe the generated Fibonacci time intervals and use them to identify potential market movements and reactions.
อินดิเคเตอร์ Pine Script®
โดย fract
6
Intellect_city - Halvings Bitcoin CycleWhat is halving? The halving timer shows when the next Bitcoin halving will occur, as well as the dates of past halvings. This event occurs every 210,000 blocks, which is approximately every 4 years. Halving reduces the emission reward by half. The original Bitcoin reward was 50 BTC per block found. Why is halving necessary? Halving allows you to maintain an algorithmically specified emission level. Anyone can verify that no more than 21 million bitcoins can be issued using this algorithm. Moreover, everyone can see how much was issued earlier, at what speed the emission is happening now, and how many bitcoins remain to be mined in the future. Even a sharp increase or decrease in mining capacity will not significantly affect this process. In this case, during the next difficulty recalculation, which occurs every 2014 blocks, the mining difficulty will be recalculated so that blocks are still found approximately once every ten minutes. How does halving work in Bitcoin blocks? The miner who collects the block adds a so-called coinbase transaction. This transaction has no entry, only exit with the receipt of emission coins to your address. If the miner's block wins, then the entire network will consider these coins to have been obtained through legitimate means. The maximum reward size is determined by the algorithm; the miner can specify the maximum reward size for the current period or less. If he puts the reward higher than possible, the network will reject such a block and the miner will not receive anything. After each halving, miners have to halve the reward they assign to themselves, otherwise their blocks will be rejected and will not make it to the main branch of the blockchain. The impact of halving on the price of Bitcoin It is believed that with constant demand, a halving of supply should double the value of the asset. In practice, the market knows when the halving will occur and prepares for this event in advance. Typically, the Bitcoin rate begins to rise about six months before the halving, and during the halving itself it does not change much. On average for past periods, the upper peak of the rate can be observed more than a year after the halving. It is almost impossible to predict future periods because, in addition to the reduction in emissions, many other factors influence the exchange rate. For example, major hacks or bankruptcies of crypto companies, the situation on the stock market, manipulation of “whales,” or changes in legislative regulation. --------------------------------------------- Table - Past and future Bitcoin halvings: --------------------------------------------- Date: Number of blocks: Award: 0 - 03-01-2009 - 0 block - 50 BTC 1 - 28-11-2012 - 210000 block - 25 BTC 2 - 09-07-2016 - 420000 block - 12.5 BTC 3 - 11-05-2020 - 630000 block - 6.25 BTC 4 - 20-04-2024 - 840000 block - 3.125 BTC 5 - 24-03-2028 - 1050000 block - 1.5625 BTC 6 - 26-02-2032 - 1260000 block - 0.78125 BTC 7 - 30-01-2036 - 1470000 block - 0.390625 BTC 8 - 03-01-2040 - 1680000 block - 0.1953125 BTC 9 - 07-12-2043 - 1890000 block - 0.09765625 BTC 10 - 10-11-2047 - 2100000 block - 0.04882813 BTC 11 - 14-10-2051 - 2310000 block - 0.02441406 BTC 12 - 17-09-2055 - 2520000 block - 0.01220703 BTC 13 - 21-08-2059 - 2730000 block - 0.00610352 BTC 14 - 25-07-2063 - 2940000 block - 0.00305176 BTC 15 - 28-06-2067 - 3150000 block - 0.00152588 BTC 16 - 01-06-2071 - 3360000 block - 0.00076294 BTC 17 - 05-05-2075 - 3570000 block - 0.00038147 BTC 18 - 08-04-2079 - 3780000 block - 0.00019073 BTC 19 - 12-03-2083 - 3990000 block - 0.00009537 BTC 20 - 13-02-2087 - 4200000 block - 0.00004768 BTC 21 - 17-01-2091 - 4410000 block - 0.00002384 BTC 22 - 21-12-2094 - 4620000 block - 0.00001192 BTC 23 - 24-11-2098 - 4830000 block - 0.00000596 BTC 24 - 29-10-2102 - 5040000 block - 0.00000298 BTC 25 - 02-10-2106 - 5250000 block - 0.00000149 BTC 26 - 05-09-2110 - 5460000 block - 0.00000075 BTC 27 - 09-08-2114 - 5670000 block - 0.00000037 BTC 28 - 13-07-2118 - 5880000 block - 0.00000019 BTC 29 - 16-06-2122 - 6090000 block - 0.00000009 BTC 30 - 20-05-2126 - 6300000 block - 0.00000005 BTC 31 - 23-04-2130 - 6510000 block - 0.00000002 BTC 32 - 27-03-2134 - 6720000 block - 0.00000001 BTC
อินดิเคเตอร์ Pine Script®
โดย INTELLECT_city
trend_switch █  Description Asset price data was time series data, commonly consisting of trends, seasonality, and noise. Many applicable indicators help traders to determine between trend or momentum to make a better trading decision based on their preferences. In some cases, there is little to no clear market direction, and price range. It feels much more appropriate to use a shorter trend identifier, until clearly defined market trend. The indicator/strategy developed with the notion aims to automatically switch between shorter and longer trend following indicator. There were many methods that can be applied and switched between, however in this indicator/strategy will be limited to the use of predictive moving average and MESA adaptive moving average (Ehlers), by first determining if there is a strong trend identified by calculating the slope, if slope value is between upper and lower threshold assumed there is not much price direction. █  Formula // predictive moving average predict = (2*wma1-wma2) trigger = (4*predict+3*predict +2*predict *predict) // MESA adaptive moving average mama = alpha*src+(1-alpha)*mama fama = .5*alpha*mama+(1-.5-alpha)*fama █  Feature The indicator will have a specified default parameter of: source = ohlc4 lookback period = 10 threshold = 10 fast limit = 0.5 slow limit = 0.05 Strategy type can be switched between Long/Short only and Long-Short strategy Strategy backtest period █  How it works If slope between the upper (red) and lower (green) threshold line, assume there is little to no clear market direction, thus signal predictive moving average indicator If slope is above the upper (red) or below the lower (green) threshold line, assume there is a clear trend forming, the signal generated from the MESA adaptive moving average indicator █  Example 1 - Slope fall between the Threshold - activate shorter trend █  Example 2 - Slope fall above/below Threshold - activate longer trend
กลยุทธ์ Pine Script®
โดย palitoj_endthen
2
Ichimoku Theories [LuxAlgo]The Ichimoku Theories indicator is the most complete Ichimoku tool you will ever need. Four tools combined into one to harness all the power of Ichimoku Kinkō Hyō. This tool features the following concepts based on the work of Goichi Hosoda: Ichimoku Kinkō Hyō: Original Ichimoku indicator with its five main lines and kumo. Time Theory: automatic time cycle identification and forecasting to understand market timing. Wave Theory: automatic wave identification to understand market structure. Price Theory: automatic identification of developing N waves and possible price targets to understand future price behavior. 🔶 ICHIMOKU KINKŌ HYŌ Ichimoku with lines only, Kumo only and both together Let us start with the basics: the Ichimoku original indicator is a tool to understand the market, not to predict it, it is a trend-following tool, so it is best used in trending markets. Ichimoku tells us what is happening in the market and what may happen next, the aim of the tool is to provide market understanding, not trading signals. The tool is based on calculating the mid-point between the high and low of three pre-defined ranges as the equilibrium price for short (9 periods), medium (26 periods), and long (52 periods) time horizons: Tenkan sen: middle point of the range of the last 9 candles Kinjun sen: middle point of the range of the last 26 candles Senkou span A: middle point between Tankan Sen and Kijun Sen, plotted 26 candles into the future Senkou span B: midpoint of the range of the last 52 candles, plotted 26 candles into the future Chikou span: closing price plotted 26 candles into the past Kumo: area between Senkou pans A and B (kumo means cloud in Japanese) The most basic use of the tool is to use the Kumo as an area of possible support or resistance. 🔶 TIME THEORY Current cycles and forecast Time theory is a critical concept used to identify historical and current market cycles, and use these to forecast the next ones. This concept is based on the Kihon Suchi (translating to "Basic Numbers" in Japanese), these are 9 and 26, and from their combinations we obtain the following sequence: 9, 17, 26, 33, 42, 51, 65, 76, 129, 172, 200, 257 The main idea is that the market moves in cycles with periods set by the Kihon Suchi sequence. When the cycle has the same exact periods, we obtain the Taito Suchi (translating to "Same Number" in Japanese). This tool allows traders to identify historical and current market cycles and forecast the next one. 🔹 Time Cycle Identification Presentation of 4 different modes: SWINGS, HIGHS, KINJUN, and WAVES . The tool draws a horizontal line at the bottom of the chart showing the cycles detected and their size. The following settings are used: Time Cycle Mode: up to 7 different modes Wave Cycle: Which wave to use when WAVE mode is selected, only active waves in the Wave Theory settings will be used. Show Time Cycles: keep a cleaner chart by disabling cycles visualisation Show last X time cycles: how many cycles to display 🔹 Time Cycle Forecast Showcasing the two forecasting patterns: Kihon Suchi and Taito Suchi The tool plots horizontal lines, a solid anchor line, and several dotted forecast lines. The following settings are used: Show time cycle forecast: to keep things clean Forecast Pattern: comes in two flavors Kihon Suchi plots a line from the anchor at each number in the Kihon Suchi sequence. Taito Suchi plot lines from the anchor with the same size detected in the anchored cycle Anchor forecast on last X time cycle: traders can place the anchor in any detected cycle 🔶 WAVE THEORY All waves activated with overlapping The main idea behind this theory is that markets move like waves in the sea, back and forth (making swing lows and highs). Understanding the current market structure is key to having realistic expectations of what the market may do next. The waves are divided into Simple and Complex. The following settings are used: Basic Waves: allows traders to activate waves I, V and N Complex Waves: allows traders to activate waves P, Y and W Overlapping waves: to avoid missing out on any of the waves activated Show last X waves: how many waves will be displayed 🔹 Basic Waves The three basic waves The basic waves from which all waves are made are I, V, and N I wave: one leg moves V wave: two legs move, one against the other N wave: Three legs move, push, pull back, and another push 🔹 Complex Waves Three complex waves There are other waves like P wave: contracting market Y wave: expanding market W wave: double top or double bottom 🔶 PRICE THEORY All targets for the current N wave with their calculations This theory is based on identifying developing N waves and predicting potential price targets based on that developing wave. The tool displays 4 basic targets (V, E, N, and NT) and 3 extended targets (2E and 3E) according to the calculations shown in the chart above. Traders can enable or disable each target in the settings panel. 🔶 USING EVERYTHING TOGETHER Please DON'T do this. This is not how you use it Now the real example: Daily chart of Nasdaq 100 futures (NQ1!) with our Ichimoku analysis Time, waves, and price theories go together as one: First, we identify the current time cycles and wave structure. Then we forecast the next cycle and possible key price levels. We identify a Taito Suchi with both legs of exactly 41 candles on each I wave, both together forming a V wave, the last two I waves are part of a developing N wave, and the time cycle of the first one is 191 candles. We forecast this cycle into the future and get 22nd April as a key date, so in 6 trading days (as of this writing) the market would have completed another Taito Suchi pattern if a new wave and time cycle starts. As we have a developing N wave we can see the potential price targets, the price is actually between the NT and V targets. We have a bullish Kumo and the price is touching it, if this Kumo provides enough support for the price to go further, the market could reach N or E targets. So we have identified the cycle and wave, our expectations are that the current cycle is another Taito Suchi and the current wave is an N wave, the first I wave went for 191 candles, and we expect the second and third I waves together to amount to 191 candles, so in theory the N wave would complete in the next 6 trading days making a swing high. If this is indeed the case, the price could reach the V target (it is almost there) or even the N target if the bulls have the necessary strength. We do not predict the future, we can only aim to understand the current market conditions and have future expectations of when (time), how (wave), and where (price) the market will make the next turning point where one side of the market overcomes the other (bulls vs bears). To generate this chart, we change the following settings from the default ones: Swing length: 64 Show lines: disabled Forecast pattern: TAITO SUCHI Anchor forecast: 2 Show last time cycles: 5 I WAVE: enabled N WAVE: disabled Show last waves: 5 🔶 SETTINGS Show Swing Highs & Lows: Enable/Disable points on swing highs and swing lows. Swing Length: Number of candles to confirm a swing high or swing low. A higher number detects larger swings. 🔹 Ichimoku Kinkō Hyō Show Lines: Enable/Disable the 5 Ichimoku lines: Kijun sen, Tenkan sen, Senkou span A & B and Chikou Span. Show Kumo: Enable/Disable the Kumo (cloud). The Kumo is formed by 2 lines: Senkou Span A and Senkou Span B. Tenkan Sen Length: Number of candles for Tenkan Sen calculation. Kinjun Sen Length: Number of candles for the Kijun Sen calculation. Senkou Span B Length: Number of candles for Senkou Span B calculation. Chikou & Senkou Offset: Number of candles for Chikou and Senkou Span calculation. Chikou Span is plotted in the past, and Senkou Span A & B in the future. 🔹 Time Theory Show Time Cycle Forecast: Enable/Disable time cycle forecast vertical lines. Disable for better performance. Forecast Pattern: Choose between two patterns: Kihon Suchi (basic numbers) or Taito Suchi (equal numbers). Anchor forecast on last X time cycle: Number of time cycles in the past to anchor the time cycle forecast. The larger the number, the deeper in the past the anchor will be. Time Cycle Mode: Choose from 7 time cycle detection modes: Tenkan Sen cross, Kijun Sen cross, Kumo change between bullish & bearish, swing highs only, swing lows only, both swing highs & lows and wave detection. Wave Cycle: Choose which type of wave to detect from 6 different wave types when the time cycle mode is set to WAVES. Show Time Cycles: Enable/Disable time cycle horizontal lines. Disable for better performance. how last X time cycles: Maximum number of time cycles to display. 🔹 Wave Theory Basic Waves: Enable/Disable the display of basic waves, all at once or one at a time. Disable for better performance. Complex Waves: Enable/Disable complex wave display, all at once or one by one. Disable for better performance. Overlapping Waves: Enable/Disable the display of waves ending on the same swing point. Show last X waves: 'Maximum number of waves to display. 🔹 Price Theory Basic Targets: Enable/Disable horizontal price target lines. Disable for better performance. Extended Targets: Enable/Disable extended price target horizontal lines. Disable for better performance.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
39
Advanced MACD [CryptoSea]Advanced MACD (AMACD) enhances the traditional MACD indicator, integrating innovative features for traders aiming for deeper insights into market momentum and sentiment. It's crafted for those seeking to explore nuanced behaviors of the MACD histogram, thus offering a refined perspective on market dynamics. Divergence moves can offer insight into continuation or potential reversals in structure, the example below is a clear continuation signal. Key Features Enhanced Histogram Analysis: Precisely tracks movements of the MACD histogram, identifying growth or decline periods, essential for understanding market momentum. High/Low Markers: Marks the highest and lowest points of the histogram within a user-defined period, signaling potential shifts in the market. Dynamic Averages Calculation: Computes average durations of histogram phases, providing a benchmark against historical performance. Color-Coded Histogram: Dynamically adjusts the histogram's color intensity based on the current streak's duration relative to its average, offering a visual cue of momentum strength. Customisable MACD Settings: Enables adjustments to MACD parameters, aligning with individual trading strategies. Interactive Dashboard: Showcases an on-chart table with average durations for each phase, aiding swift decision-making. Settings & Customisation MACD Settings: Customise fast length, slow length, and signal smoothing to tailor the MACD calculations to your trading needs. Reset Period: Determine the number of bars to identify the histogram's significant high and low points. Histogram High/Lows: Option to display critical high and low levels of the histogram for easy referencing. Candle Colours: Select between neutral or traditional candle colors to match your analytical preferences. When in strong trends, you can use the average table to determine when to look to get into a position. This example we are in a strong downtrend, we then see the histogram growing above the average in these conditions which is where we should look to get into a shorting position. Strategic Applications The AMACD serves not just as an indicator but as a comprehensive analytical tool for spotting market trends, momentum shifts, and potential reversal points. It's particularly useful for traders to: Spot Momentum Changes Utilise dynamic coloring and streak tracking to alert shifts in momentum, helping anticipate market movements. Identify Market Extremes Use high and low markers to spot potential market turning points, aiding in risk management and decision-making. Alert Conditions Above Average Movement Alerts: Triggered when the duration of the MACD histogram's growth or decline is unusually long, these alerts signal sustained momentum: Above Zero: Alerts for both growing and declining movements above zero, indicating either continued bullish trends or potential bearish reversals. Below Zero: Alerts for growth and decline below zero, pointing to potential bullish reversals or confirmed bearish trends. High/Low Break Alerts: Activated when the histogram reaches new highs or falls to new lows beyond the set thresholds, these alerts are crucial for identifying shifts in market dynamics: Break Above Last High: Indicates a potential upward trend as the histogram surpasses recent highs. Break Below Last Low: Warns of a possible downward trend as the histogram drops below recent lows. These alert conditions enable traders to automate part of their market monitoring or potential to automate the signals to take action elsewhere.
อินดิเคเตอร์ Pine Script®
โดย CryptoSeaTV
1
Global Net Liquidity (TG fork)Worldwide net liquidity, with trend coloring. Global Net Liquidity attempts to represent worldwide net liquidity, and is defined as: Fed + Japan + China + UK + ECB - RRP - TGA , Where the first five components are central bank assets. On TradingView, the indicator can be reproduced with the following equations: Global Net Liquidity = FRED:WALCL + FRED:JPNASSETS * FX_IDC:JPYUSD + CNCBBS * FX_IDC:CNYUSD + GBCBBS * FX:GBPUSD + ECBASSETSW * FX:EURUSD + RRPONTSYD + WTREGEN However, this indicator adds a moving average cloud, and margin coloring, which eases historical trend assessment at a glance. This indicator can be seen as an alternative representation of the accumulation/distribution indicator (and hence the same terms can be used in this description). The Moving Average Cloud is simply the filling between the moving average (by default an EMA) and the current value. This feature was inspired by D7R ACC/DIST closed-source indicator, kudos to D7R for making such neat visual indicators. Usage instructions: Blue is more likely a phase of accumulation because the current value is above its historical price as defined by the moving average, red is when this is more likely a phase of distribution. Yellow is when the difference is below the margin, so we consider it is insignificant and that the trend is undecided. This can be disabled by setting the margin to 0. While the color indicates if it's more likely an accumulation (blue) or distribution (red) phase or undecided (yellow), the cloud's vertical size allows to assess the strength of this tendency and the horizontal size the momentum, so that the bigger the cloud, the stronger the accumulation (if cloud is blue) or distribution (if cloud is red). Why is that so? This is because the cloud represents the difference between the current tendency and the moving averaged past one, so a bigger cloud represents a bigger departure from recently observed tendencies. In practice, when there is accumulation, a pump in price can be expected soon, or if it already happened then it means it is indeed supported by volume, whereas if distribution, either a dump is to be expected soon, or if it already happened it means it's supported by volume. Or maybe not necessarily a dump, but if there is a move upward in price, but the indicator indicates a strong distribution, then it means that the price movement is not supported and may not be sustainable (reversal may happen at anytime), whereas if price is going upward AND there is an accumulation (blue coloring) then it is more sustainable. This can be used to adapt strategies accordingly (risk on/risk off depending on whether there is concordance of both price and accumulation/distribution). This indicator also includes sentiment signals that can be used to trigger alarms. This indicator is a remix of Dharmatech's, who authored the first this Global Net Liquidity equation, kudos to them! Please show them some love if you like this indicator!
อินดิเคเตอร์ Pine Script®
โดย tartigradia
1
Sequencer [LuxAlgo]The Sequencer indicator is a tool that is able to highlight sequences of prices based on their relative position to past prices, which allows a high degree of customization from the user. Two phases are included in this script, a "Preparation" phase and a "Lead-Up" phase, each with a customizable amount of steps, as well as other characteristics. Users can also highlight the last step leading to each phase completion with a level, this level can eventually be used as a key price point. 🔶 USAGE The script highlights two phases, each being based on a sequence of events requiring prices to be higher/lower than prices various bars ago. The completion of the preparation phase will lead to the evaluation of the lead-up phase, however, it isn't uncommon to see a reversal occurring after the completion of a preparation phase. In the script, bullish preparations are highlighted in green, while bearish preparations are highlighted in red. Completion of a "Lead-Up" phase is indicative of a potential reversal, with a bullish reversal for the completion of a bullish lead-up (in blue), and a bearish reversal for the completion of a bearish lead-up (in orange). Using a higher length for the preparation/lead-up phases can allow the detection of longer-term reversals. Users wishing to display levels based on specific phases completion can do so from the settings in the "Preparation/Lead-Up Completion Levels" settings group. The "Show Last" settings determine the amount of respective levels to display on the chart. 🔶 PREPARATION PHASE The "Preparation" phase precedes the "Lead-Up" phase. The completion of this phase requires N successive prices to be lower than the closing price P bars ago for a bullish phase, and for prices to be higher than the closing price P bars ago for a bearish phase, where N is the user set "Preparation Phase Length" and P the user set "Comparison Period". 🔹 Refined Preparations Sequences of the preparation phase can either be "Standard" or "Refined". Unlike the standard preparation previously described a refined preparation requires the low prices from the user-specified steps in "Refined Preparation Steps" to be above the low price of the last step for a bullish preparation phase, and for the high prices specified in the refined preparation steps to be below the high price of the last step for a bearish preparation phase. 🔶 LEAD-UP PHASE The "Lead-Up" phase is initiated by the completion of the "Preparation" phase. Completion of this phase requires the price to be lower than the low price P bars ago N times for a bullish phase, and for prices to be higher than the high price P bars ago N times for a bearish phase, where N is the user set "Lead-Up Phase Length" and P the user set "Comparison Period". Unlike with the "Preparation" phase these conditions don't need to be successive for them to be valid and can occur at any time. 🔹 Lead-Up Cancellation Incomplete "Lead-Up" phases can be canceled and removed from the chart once a preparation of the opposite sentiment is completed, avoiding lead-ups to be evaluated after completion of complete preparations. This can be disabled by toggling off "Apply Cancellation". 🔹 Lead-Up Suspension Like with refined preparations, we can require specific steps from the lead-up phase to be higher/lower than the price on the last step. This can be particularly important since we do not require lead-up steps to be successive. For a bullish lead-up, the low of the last step must be lower than the minimum closing prices of the user-specified steps for it to be valid, while for a bearish lead-up, the high of the last step must be higher than the maximum closing prices of the user-specified steps for it to be valid. This effectively allows for eliminating lead-up phases getting completed on opposite trends. 🔶 SETTINGS 🔹 Preparation Phase Preparation Phase Length: Length of the "Preparation" phase. Comparison Period: Offset used to compare current prices to past ones. Preparation Type: Type of preparation to evaluate, options include "Standard" or "Refined" Refined Preparations Steps: Steps to evaluate when preparation type is "Refined" 🔹 Lead-Up Phase Lead-Up Phase Length: Length of the "Lead-Up" phase. Comparison Period: Offset used to compare current prices to past ones. Suspension: Applies suspension rule to evaluate lead-up completion. Suspension Steps: Specifies the steps evaluated to determine if the lead-up referral is respected. Multiple steps are supported and should be comma-separated. Apply Cancellation: Cancellation will remove any incomplete lead-up upon the completion of a new preparation phase of the opposite sentiment. 🔹 Levels Bullish Preparations Levels: When enabled display price levels from completed bullish preparations. Show Last: Number of most recent bullish preparations levels to display. Bearish Preparations Levels: When enabled display price levels from completed bearish preparations. Show Last: Number of most recent bearish preparations levels to display.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
10
Central Banks Balance Sheets ROI% ChangeIntroducing the "Central Banks Balance Sheets ROI% Change" indicator, a tool designed to offer traders and analysts an understanding of global liquidity dynamics. This indicator tracks the Return on Investment (ROI) percentage changes across major central banks' balance sheets, providing insights into shifts in global economic liquidity not tied to cumulative figures but through ROI calculations, capturing the pulse of overall economic dynamics. Key Enhancements: ROI Period Customization: Users can now adjust the ROI calculation period, offering flexibility to analyze short-term fluctuations or longer-term trends in central bank activities, aligning with their strategic time horizons. Chart Offset Feature: This new functionality allows traders to shift the chart view, aiding in the alignment of data visualization with other indicators or specific analysis needs, enhancing interpretive clarity. Central Bank Selection: With options to include or exclude data from specific central banks among the world's top 15 economies (with the exception of Mexico and the consolidation of the EU's central bank data), traders can tailor the analysis to their regional focus or diversification strategies. US M2 Option: Recognizing the significance of the M2 money supply as a liquidity metric, this indicator offers an alternative view focusing solely on the US M2, allowing for a concentrated analysis of the US liquidity environment. Comprehensive Coverage: The tool covers a wide array of central banks, including the Federal Reserve, People's Bank of China, European Central Bank, and more, ensuring a broad and inclusive perspective on global liquidity. Visualization Enhancements: A histogram plot vividly distinguishes between positive and negative ROI changes, offering an intuitive grasp of liquidity expansions or contractions at a glance. This indicator is a strategic tool designed for traders who seek to understand the undercurrents of market liquidity and its implications on global markets. Whether you're assessing the impact of central bank policies, gauging economic health, or identifying investment opportunities, the "Central Banks Balance Sheets ROI% Change" indicator offers a critical lens through which to view the complex interplay of global liquidity factors.
อินดิเคเตอร์ Pine Script®
โดย mezor13
5
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