Adaptive Kalman Trend Filter (Zeiierman)█ Overview
The Adaptive Kalman Trend Filter indicator is an advanced trend-following tool designed to help traders accurately identify market trends. Utilizing the Kalman Filter—a statistical algorithm rooted in control theory and signal processing—this indicator adapts to changing market conditions, smoothing price data to filter out noise. By focusing on state vector-based calculations, it dynamically adjusts trend and range measurements, making it an excellent tool for both trend-following and range-based trading strategies. The indicator's adaptive nature is enhanced by options for volatility adjustment and three unique Kalman filter models, each tailored for different market conditions.
█ How It Works
The Kalman Filter works by maintaining a model of the market state through matrices that represent state variables, error covariances, and measurement uncertainties. Here’s how each component plays a role in calculating the indicator’s trend:
⚪ State Vector (X): The state vector is a two-dimensional array where each element represents a market property. The first element is an estimate of the true price, while the second element represents the rate of change or trend in that price. This vector is updated iteratively with each new price, maintaining an ongoing estimate of both price and trend direction.
⚪ Covariance Matrix (P): The covariance matrix represents the uncertainty in the state vector’s estimates. It continuously adapts to changing conditions, representing how much error we expect in our trend and price estimates. Lower covariance values suggest higher confidence in the estimates, while higher values indicate less certainty, often due to market volatility.
⚪ Process Noise (Q): The process noise matrix (Q) is used to account for uncertainties in price movements that aren’t explained by historical trends. By allowing some degree of randomness, it enables the Kalman Filter to remain responsive to new data without overreacting to minor fluctuations. This noise is particularly useful in smoothing out price movements in highly volatile markets.
⚪ Measurement Noise (R): Measurement noise is an external input representing the reliability of each new price observation. In this indicator, it is represented by the setting Measurement Noise and determines how much weight is given to each new price point. Higher measurement noise makes the indicator less reactive to recent prices, smoothing the trend further.
⚪ Update Equations:
Prediction: The state vector and covariance matrix are first projected forward using a state transition matrix (F), which includes market estimates based on past data. This gives a “predicted” state before the next actual price is known.
Kalman Gain Calculation: The Kalman gain is calculated by comparing the predicted state with the actual price, balancing between the covariance matrix and measurement noise. This gain determines how much of the observed price should influence the state vector.
Correction: The observed price is then compared to the predicted price, and the state vector is updated using this Kalman gain. The updated covariance matrix reflects any adjustment in uncertainty based on the latest data.
█ Three Kalman Filter Models
Standard Model: Assumes that market fluctuations follow a linear progression without external adjustments. It is best suited for stable markets.
Volume Adjusted Model: Adjusts the filter sensitivity based on trading volume. High-volume periods result in stronger trends, making this model suitable for volume-driven assets.
Parkinson Adjusted Model: Uses the Parkinson estimator, accounting for volatility through high-low price ranges, making it effective in markets with high intraday fluctuations.
These models enable traders to choose a filter that aligns with current market conditions, enhancing trend accuracy and responsiveness.
█ Trend Strength
The Trend Strength provides a visual representation of the current trend's strength as a percentage based on oscillator calculations from the Kalman filter. This table divides trend strength into color-coded segments, helping traders quickly assess whether the market is strongly trending or nearing a reversal point. A high trend strength percentage indicates a robust trend, while a low percentage suggests weakening momentum or consolidation.
█ Trend Range
The Trend Range section evaluates the market's directional movement over a specified lookback period, highlighting areas where price oscillations indicate a trend. This calculation assesses how prices vary within the range, offering an indication of trend stability or the likelihood of reversals. By adjusting the trend range setting, traders can fine-tune the indicator’s sensitivity to longer or shorter trends.
█ Sigma Bands
The Sigma Bands in the indicator are based on statistical standard deviations (sigma levels), which act as dynamic support and resistance zones. These bands are calculated using the Kalman Filter's trend estimates and adjusted for volatility (if enabled). The bands expand and contract according to market volatility, providing a unique visualization of price boundaries. In high-volatility periods, the bands widen, offering better protection against false breakouts. During low volatility, the bands narrow, closely tracking price movements. Traders can use these sigma bands to spot potential entry and exit points, aiming for reversion trades or trend continuation setups.
Trend Based
Volatility Based
█ How to Use
Trend Following:
When the Kalman Filter is green, it signals a bullish trend, and when it’s red, it indicates a bearish trend. The Sigma Cloud provides additional insights into trend strength. In a strong bullish trend, the cloud remains below the Kalman Filter line, while in a strong bearish trend, the cloud stays above it. Expansion and contraction of the Sigma Cloud indicate market momentum changes. Rapid expansion suggests an impulsive move, which could either signal the continuation of the trend or be an early sign of a possible trend reversal.
Mean Reversion: Watch for prices touching the upper or lower sigma bands, which often act as dynamic support and resistance.
Volatility Breakouts: Enable volatility-adjusted sigma bands. During high volatility, watch for price movements that extend beyond the bands as potential breakout signals.
Trend Continuation: When the Kalman Filter line aligns with a high trend strength, it signals a continuation in that direction.
█ Settings
Measurement Noise: Adjusts how sensitive the indicator is to price changes. Higher values smooth out fluctuations but delay reaction, while lower values increase sensitivity to short-term changes.
Kalman Filter Model: Choose between the standard, volume-adjusted, and Parkinson-adjusted models based on market conditions.
Band Sigma: Sets the standard deviation used for calculating the sigma bands, directly affecting the width of the dynamic support and resistance.
Volatility Adjusted Bands: Enables bands to dynamically adapt to volatility, increasing their effectiveness in fluctuating markets.
Trend Strength: Defines the lookback period for trend strength calculation. Shorter periods result in more responsive trend strength readings, while longer periods smooth out the calculation.
Trend Range: Specifies the lookback period for the trend range, affecting the assessment of trend stability over time.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Indikatoren und Strategien
Financial X-RayThe Financial X-Ray is an advanced indicator designed to provide a thorough analysis of a company's financial health and market performance. Its primary goal is to offer investors and analysts a quick yet comprehensive overview of a company's financial situation by combining various key financial ratios and metrics.
How It Works
Data Collection: The indicator automatically extracts a wide range of financial data for the company, covering aspects such as financial strength, profitability, valuation, growth, and operational efficiency.
Sector-Specific Normalization: A unique feature of this indicator is its ability to normalize metrics based on the company's industry sector. This approach allows for more relevant comparisons between companies within the same sector, taking into account industry-specific characteristics.
Standardized Scoring: Each metric is converted to a score on a scale of 0 to 10, facilitating easy comparison and rapid interpretation of results.
Multidimensional Analysis: The indicator doesn't focus on just one financial dimension but offers an overview by covering several crucial aspects of a company's performance.
Fair Value Calculation: Using financial data and market conditions, the indicator provides an estimate of the company's fair value, offering a reference point for assessing current valuation.
Visual Presentation: Results are displayed directly on the TradingView chart in a tabular format, allowing for quick and efficient reading of key information.
Advantages for Users
Time-Saving: Instead of manually collecting and analyzing numerous financial data points, users get an instant comprehensive overview.
Contextual Analysis: Sector-specific normalization allows for a better understanding of the company's performance relative to its peers.
Flexibility: Users can choose which metrics to display, customizing the analysis to their specific needs.
Objectivity: By relying on quantitative data and standardized calculations, the indicator offers an objective perspective on the company's financial health.
Decision Support: The fair value estimate and normalized scores provide valuable reference points for investment decision-making.
Customization and Evolution
One of the major strengths of this indicator is its open-source nature. Users can modify the code to adjust normalization methods, add new metrics, or adapt the display to their preferences. This flexibility allows the indicator to evolve and continuously improve through community contributions.
In summary, the Financial X-Ray is a powerful tool that combines automation, contextual analysis, and customization to provide investors with a clear and comprehensive view of companies' financial health, facilitating informed decision-making in financial markets.
This Financial X-Ray indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. The data and calculations used in this indicator may not be accurate or up-to-date. Users should always conduct their own research and consult with a qualified financial advisor before making any investment decisions. The creator of this indicator is not responsible for any losses or damages resulting from its use.
ABCD Harmonic Pattern [TradingFinder] ABCD Pattern indicator🔵 Introduction
The ABCD harmonic pattern is a tool for identifying potential reversal zones (PRZ) by using Fibonacci ratios to pinpoint critical price reversal points on price charts.
This pattern consists of four key points, labeled A, B, C, and D. In this structure, the AB and CD waves move in the same direction, while the BC wave acts as a corrective wave in the opposite direction.
The ABCD pattern follows specific Fibonacci ratios that enhance its accuracy in identifying PRZ. Typically, point C lies within the 0.382 to 0.886 Fibonacci retracement of the AB wave, indicating the correction extent of the BC wave.
Subsequently, the CD wave, as the final wave in this pattern, reaches point D with a Fibonacci extension between 1.13 and 2.618 of the BC wave. Point D, which marks the PRZ, is where a potential price reversal is likely to occur.
The ABCD pattern appears in both bullish and bearish forms. In the bullish ABCD pattern, prices tend to increase at point D, which defines the PRZ; in the bearish ABCD pattern, prices typically decrease upon reaching the PRZ at point D.
These characteristics make the ABCD pattern a popular tool for identifying PRZ and price reversal points in financial markets, including forex, cryptocurrencies, and stocks.
Bullish Pattern :
Beaish Pattern :
🔵 How to Use
🟣 Bullish ABCD Pattern
The bullish ABCD pattern is another harmonic structure used to identify a potential reversal zone (PRZ) where the price is likely to rise after a downward movement. This pattern includes four main points A, B, C, and D. In the bullish ABCD, the AB and CD waves move downward, and the BC wave acts as a corrective, upward wave. This setup creates a PRZ at point D, where the price may reverse and move upward.
To identify a bullish ABCD pattern, begin with the downward AB wave. The BC wave retraces upward between 0.382 and 0.886 of the AB wave, indicating the extent of the correction.
After the BC retracement, the CD wave forms and extends from point C down to point D, with an extension of around 1.13 to 2.618 of the BC wave. Point D, as the PRZ, represents the area where the price may reverse upwards, making it a strategic level for potential buy positions.
When the price reaches point D in the bullish ABCD pattern, traders look for upward reversal signals. This can include bullish candlestick formations, such as hammer or morning star patterns, near the PRZ to confirm the trend reversal. Entering a long position after confirmation near point D provides a calculated entry point.
Additionally, placing a stop loss slightly below point D helps protect against potential loss if the reversal does not occur. The ABCD pattern, with its precise Fibonacci structure and PRZ identification, gives traders a disciplined approach to spotting bullish reversals in markets, particularly in forex, cryptocurrency, and stock trading.
Bullish Pattern in COINBASE:BTCUSD :
🟣 Bearish ABCD Pattern
The bearish ABCD pattern is a harmonic structure that indicates a potential reversal zone (PRZ) where price may shift downward after an initial upward movement. This pattern consists of four main points A, B, C, and D. In a bearish ABCD, the AB and CD waves move upward, while the BC wave acts as a corrective wave in the opposite, downward direction. This reversal zone (PRZ) can be identified with specific Fibonacci ratios.
To identify a bearish ABCD pattern, start by observing the AB wave, which forms as an upward price movement. The BC wave, which follows, typically retraces between 0.382 to 0.886 of the AB wave. This retracement indicates how far the correction goes and sets the foundation for the next wave.
Finally, the CD wave extends from point C to reach point D with a Fibonacci extension of approximately 1.13 to 2.618 of the BC wave. Point D represents the PRZ where the potential reversal may occur, making it a critical area for traders to consider short positions.
Once point D in the bearish ABCD pattern is reached, traders can anticipate a downward price movement. At this potential reversal zone (PRZ), traders often wait for additional bearish signals or candlestick patterns, such as engulfing or evening star formations, to confirm the price reversal.
This confirmation around the PRZ enhances the accuracy of the entry point for a bearish position. Setting a stop loss slightly above point D can help manage risk if the price doesn’t reverse as anticipated. The ABCD pattern, with its reliance on Fibonacci ratios and clearly defined points, offers a strategic approach for traders looking to capitalize on potential bearish reversals in financial markets, including forex, stocks, and cryptocurrencies.
Bearish Pattern in OANDA:XAUUSD :
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🟣 Conclusion
The ABCD harmonic pattern offers a structured approach in technical analysis, helping traders accurately identify potential reversal zones (PRZ) where price movements may shift direction. By leveraging the relationships between points A, B, C, and D, alongside specific Fibonacci ratios, traders can better anticipate points of market reversal and make more informed decisions.
Both the bearish and bullish ABCD patterns enable traders to pinpoint ideal entry points that align with anticipated market shifts. In a bearish ABCD, point D within the PRZ often signals a downward trend reversal, while in a bullish ABCD, this same point typically suggests an upward reversal. The adaptability of the ABCD pattern across different markets, such as forex, stocks, and cryptocurrencies, further highlights its utility and reliability.
Integrating the ABCD pattern into a trading strategy provides a methodical and calculated approach to entry and exit decisions. With accurate application of Fibonacci ratios and confirmation of the PRZ, traders can enhance their trading precision, reduce risks, and boost overall performance. The ABCD harmonic pattern remains a valuable resource for traders aiming to leverage structured patterns for consistent results in their technical analysis.
ICT Setup 03 [TradingFinder] Judas Swing NY 9:30am + CHoCH/FVG🔵 Introduction
Judas Swing is an advanced trading setup designed to identify false price movements early in the trading day. This advanced trading strategy operates on the principle that major market players, or "smart money," drive price in a certain direction during the early hours to mislead smaller traders.
This deceptive movement attracts liquidity at specific levels, allowing larger players to execute primary trades in the opposite direction, ultimately causing the price to return to its true path.
The Judas Swing setup functions within two primary time frames, tailored separately for Forex and Stock markets. In the Forex market, the setup uses the 8:15 to 8:30 AM window to identify the high and low points, followed by the 8:30 to 8:45 AM frame to execute the Judas move and identify the CISD Level break, where Order Block and Fair Value Gap (FVG) zones are subsequently detected.
In the Stock market, these time frames shift to 9:15 to 9:30 AM for identifying highs and lows and 9:30 to 9:45 AM for executing the Judas move and CISD Level break.
Concepts such as Order Block and Fair Value Gap (FVG) are crucial in this setup. An Order Block represents a chart region with a high volume of buy or sell orders placed by major financial institutions, marking significant levels where price reacts.
Fair Value Gap (FVG) refers to areas where price has moved rapidly without balance between supply and demand, highlighting zones of potential price action and future liquidity.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The Judas Swing setup enables traders to pinpoint entry and exit points by utilizing Order Block and FVG concepts, helping them align with liquidity-driven moves orchestrated by smart money. This setup applies two distinct time frames for Forex and Stocks to capture early deceptive movements, offering traders optimized entry or exit moments.
🟣 Bullish Setup
In the Bullish Judas Swing setup, the first step is to identify High and Low points within the initial time frame. These levels serve as key points where price may react, forming the basis for analyzing the setup and assisting traders in anticipating future market shifts.
In the second time frame, a critical stage of the bullish setup begins. During this phase, the price may create a false break or Fake Break below the low level, a deceptive move by major players to absorb liquidity. This false move often causes smaller traders to enter positions incorrectly. After this fake-out, the price reverses upward, breaking the CISD Level, a critical point in the market structure, signaling a potential bullish trend.
Upon breaking the CISD Level and reversing upward, the indicator identifies both the Order Block and Fair Value Gap (FVG). The Order Block is an area where major players typically place large buy orders, signaling potential price support. Meanwhile, the FVG marks a region of supply-demand imbalance, signaling areas where price might react.
Ultimately, after these key zones are identified, a trader may open a buy position if the price reaches one of these critical areas—Order Block or FVG—and reacts positively. Trading at these levels enhances the chance of success due to liquidity absorption and support from smart money, marking an opportune time for entering a long position.
🟣 Bearish Setup
In the Bearish Judas Swing setup, analysis begins with marking the High and Low levels in the initial time frame. These levels serve as key zones where price could react, helping to signal possible trend reversals. Identifying these levels is essential for locating significant bearish zones and positioning traders to capitalize on downward movements.
In the second time frame, the primary bearish setup unfolds. During this stage, price may exhibit a Fake Break above the high, causing a brief move upward and misleading smaller traders into incorrect positions. After this false move, the price typically returns downward, breaking the CISD Level—a crucial bearish trend indicator.
With the CISD Level broken and a bearish trend confirmed, the indicator identifies the Order Block and Fair Value Gap (FVG). The Bearish Order Block is a region where smart money places significant sell orders, prompting a negative price reaction. The FVG denotes an area of supply-demand imbalance, signifying potential selling pressure.
When the price reaches one of these critical areas—the Bearish Order Block or FVG—and reacts downward, a trader may initiate a sell position. Entering trades at these levels, due to increased selling pressure and liquidity absorption, offers traders an advantage in profiting from price declines.
🔵 Settings
Market : The indicator allows users to choose between Forex and Stocks, automatically adjusting the time frames for the "Opening Range" and "Trading Permit" accordingly: Forex: 8:15–8:30 AM for identifying High and Low points, and 8:30–8:45 AM for capturing the Judas move and CISD Level break. Stocks: 9:15–9:30 AM for identifying High and Low points, and 9:30–9:45 AM for executing the Judas move and CISD Level break.
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Judas Swing indicator helps traders spot reliable trading opportunities by detecting false price movements and key levels such as Order Block and FVG. With a focus on early market movements, this tool allows traders to align with major market participants, selecting entry and exit points with greater precision, thereby reducing trading risks.
Its extensive customization options enable adjustments for various market types and trading conditions, giving traders the flexibility to optimize their strategies. Based on ICT techniques and liquidity analysis, this indicator can be highly effective for those seeking precision in their entry points.
Overall, Judas Swing empowers traders to capitalize on significant market movements by leveraging price volatility. Offering precise and dependable signals, this tool presents an excellent opportunity for enhancing trading accuracy and improving performance
CBBS Suite [KFB Quant]CBBS Suite
The CBBS Suite is a specialized technical indicator that aggregates central bank balance sheet (CBBS) data from major global economies (US, EU, China, and Japan) and analyzes the data to assist with trend-following strategies. By using CBBS data as an economic signal, this tool provides insights into long and short trading opportunities based on macroeconomic changes.
Functionality :
The CBBS Suite aggregates central bank balance sheets, converting the combined data into percentage changes over multiple timeframes (30–360 days). It then calculates average scores to highlight the direction and strength of the CBBS trend, with customizable smoothing options for precision.
Signal Modes :
Users can select from three modes for optimal customization:
Standard – Displays unsmoothed trend signals.
Smoothed – Applies a smoothing function for clearer signal representation.
Combined – Shows both standard and smoothed signals for a comprehensive view
Indicator Features :
Thresholds : Customize long and short entry points based on score thresholds and percentage change limits.
Signal Smoothing : Choose from EMA, SMA, or WMA for trend smoothing, with adjustable lengths for greater flexibility.
Visuals : Background color coding for long and short zones and up/down triangles on chart bars to clearly identify long and short signals.
Limitations :
As with any indicator, CBBS Suite should be used as part of a broader trading strategy. It doesn’t predict future movements but instead reflects central bank activity trends.
This indicator is designed to add value to the TradingView community by providing unique macroeconomic insights based on central bank data trends. It’s a valuable tool for users looking to incorporate CBBS data into their technical analysis toolkit.
Disclaimer: This tool is provided for informational and educational purposes only and should not be considered as financial advice. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.
Crypto Wallets Profitability & Performance [LuxAlgo]The Crypto Wallets Profitability & Performance indicator provides a comprehensive view of the financial status of cryptocurrency wallets by leveraging on-chain data from IntoTheBlock. It measures the percentage of wallets profiting, losing, or breaking even based on current market prices.
Additionally, it offers performance metrics across different timeframes, enabling traders to better assess market conditions.
This information can be crucial for understanding market sentiment and making informed trading decisions.
🔶 USAGE
🔹 Wallets Profitability
This indicator is designed to help traders and analysts evaluate the profitability of cryptocurrency wallets in real-time. It aggregates data gathered from the blockchain on the number of wallets that are in profit, loss, or breaking even and presents it visually on the chart.
Breaking even line demonstrates how realized gains and losses have changed, while the profit and the loss monitor unrealized gains and losses.
The signal line helps traders by providing a smoothed average and highlighting areas relative to profiting and losing levels. This makes it easier to identify and confirm trading momentum, assess strength, and filter out market noise.
🔹 Profitability Meter
The Profitability Meter is an alternative display that visually represents the percentage of wallets that are profiting, losing, or breaking even.
🔹 Performance
The script provides a view of the financial health of cryptocurrency wallets, showing the percentage of wallets in profit, loss, or breaking even. By combining these metrics with performance data across various timeframes, traders can gain valuable insights into overall wallet performance, assess trend strength, and identify potential market reversals.
🔹 Dashboard
The dashboard presents a consolidated view of key statistics. It allows traders to quickly assess the overall financial health of wallets, monitor trend strength, and gauge market conditions.
🔶 DETAILS
🔹 The Chart Occupation Option
The chart occupation option adjusts the occupation percentage of the chart to balance the visibility of the indicator.
🔹 The Height in Performance Options
Crypto markets often experience significant volatility, leading to rapid and substantial gains or losses. Hence, plotting performance graphs on top of the chart alongside other indicators can result in a cluttered display. The height option allows you to adjust the plotting for balanced visibility, ensuring a clearer and more organized chart.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
Chart Occupation %: Adjust the occupation percentage of the chart to balance the visibility of the indicator.
🔹 Profiting Wallets
Profiting Percentage: Toggle to display the percentage of wallets in profit.
Smoothing: Adjust the smoothing period for the profiting percentage line.
Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) to overlay on the profiting percentage.
🔹 Losing Wallets
Losing Percentage: Toggle to display the percentage of wallets in loss.
Smoothing: Adjust the smoothing period for the losing percentage line.
Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) to overlay on the losing percentage.
🔹 Breaking Even Wallets
Breaking-Even Percentage: Toggle to display the percentage of wallets breaking even.
Smoothing: Adjust the smoothing period for the breaking-even percentage line.
🔹 Profitability Meter
Profitability Meter: Enable or disable the meter display, set its width, and adjust the offset.
🔹 Performance
Performance Metrics: Choose the timeframe for performance metrics (Day to Date, Week to Date, etc.).
Height: Adjust the height of the chart visuals to balance the visibility of the indicator.
🔹 Dashboard
Block Profitability Stats: Toggle the display of profitability stats.
Performance Stats: Toggle the display of performance stats.
Dashboard Size and Position: Customize the size and position of the performance dashboard on the chart.
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BLX |D,W,M| Halving rainbowThis (indicator), if viewed in daily, weekly or monthly timeframes, will paint candles according to distance from BTC halvings. It is visible that cycle lasts 201 weeks.
Fibonacci Moving Average PlusFibonacci Moving Average Plus is a sophisticated technical indicator that employs the first 15 numbers of the Fibonacci sequence to create dynamic moving average channels. This indicator aims to capture both immediate and long-term price movements by calculating Exponential Moving Averages (EMAs) based on these Fibonacci values. By using Fibonacci-based moving averages for both high and low price points, the indicator generates a visual channel that reflects the ebb and flow of market trends, acting as potential zones of support and resistance. Additionally, the indicator provides midline, retracement, and extension levels rooted in Fibonacci ratios, which are frequently observed as key levels for reversals or trend continuation.
Ideology Behind Using Fibonacci Sequence-Based Moving Averages
The Fibonacci sequence, known for its mathematical harmony and prevalence in natural patterns, is widely utilized in technical analysis to identify potential turning points in markets. In this indicator, the first 15 Fibonacci numbers (5, 8, 13, 21, etc.) are used as the lookback periods for EMAs to capture different layers of market sentiment. These moving averages represent timeframes that are theoretically in alignment with the natural rhythms of market cycles, where key levels—often coinciding with Fibonacci numbers—can act as magnetic points for price.
The Fibonacci high and low channels aim to encapsulate price action, giving traders a sense of whether the market is trending, consolidating, or experiencing reversal pressure. These levels, grounded in both mathematics and market psychology, help traders spot areas where price might face resistance or find support.
Key Features
Fibonacci Moving Average High and Low: This indicator calculates the high and low EMAs based on Fibonacci sequence numbers (e.g., 5, 8, 13, etc.) for enhanced trend analysis.
Golden Pocket Retracement (GPR) and Extension (GPE) Bands: Displays common Fibonacci retracement and extension levels (0.618, 0.65 for retracement, and 1.618, 1.65 for extension).
Midline: Plots the average of the Fibonacci high and low to act as an additional reference level.
Stop-Loss Levels: Provides suggested stop-loss levels based on Fibonacci levels for both long and short positions.
Basic User Guide
Adjust Input Settings:
Input Timeframe: Set a specific timeframe for the Fibonacci moving average calculation, separate from the chart's primary timeframe.
Show Fibonacci MA High/Low: Toggle the visibility of the high and low Fibonacci moving averages.
Show Mid Line: Display a midline for added trend reference.
Show Golden Pocket Bands: Choose to display retracement or extension bands for potential support or resistance zones.
Show Stop-Loss Levels: Enable to visualize potential stop-loss levels for both long and short trades.
Interpretation:
Fibonacci MA High and Low: Use these lines to gauge the general trend. When the price is above both, it may indicate an uptrend; below both, a downtrend.
Golden Pocket Retracement: This zone (between 0.618 and 0.65) is often a key level for potential reversals or support/resistance.
Golden Pocket Extension: The 1.618 and 1.65 levels can indicate potential profit-taking or trend exhaustion points.
Stop-Loss Levels: The calculated stop-loss levels (long SL below and short SL above) can aid in risk management.
Customization:
You can customize the appearance and visibility of each component through the input settings to fit your specific strategy and visual preferences.
This indicator should be used alongside other technical analysis tools to provide a more comprehensive trading approach.
This Indicator would not exist without the original contributions and blessing from Sofien Kaabar
Green-Green-Red-Green Pattern with Close Above Red OpenGreen-Green-Red-Green Pattern with Close Above Red Open
FP413Desenvolvido por Alex Reis
- Indicador de Reversão.
- Confluência com a tendência
Tipo de Grafico : Range
Tempo do Gráfico: 10R/ 30R / 50R / 100R
Ativo : Mercado Futuros, Forex , Paridades
Honest Volatility Grid [Honestcowboy]The Honest Volatility Grid is an attempt at creating a robust grid trading strategy but without standard levels.
Normal grid systems use price levels like 1.01;1.02;1.03;1.04... and place an order at each of these levels. In this program instead we create a grid using keltner channels using a long term moving average.
🟦 IS THIS EVEN USEFUL?
The idea is to have a more fluid style of trading where levels expand and follow price and do not stick to precreated levels. This however also makes each closed trade different instead of using fixed take profit levels. In this strategy a take profit level can even be a loss. It is useful as a strategy because it works in a different way than most strategies, making it a good tool to diversify a portfolio of trading strategies.
🟦 STRATEGY
There are 10 levels below the moving average and 10 above the moving average. For each side of the moving average the strategy uses 1 to 3 orders maximum (3 shorts at top, 3 longs at bottom). For instance you buy at level 2 below moving average and you increase position size when level 6 is reached (a cheaper price) in order to spread risks.
By default the strategy exits all trades when the moving average is reached, this makes it a mean reversion strategy. It is specifically designed for the forex market as these in my experience exhibit a lot of ranging behaviour on all the timeframes below daily.
There is also a stop loss at the outer band by default, in case price moves too far from the mean.
What are the risks?
In case price decides to stay below the moving average and never reaches the outer band one trade can create a very substantial loss, as the bands will keep following price and are not at a fixed level.
Explanation of default parameters
By default the strategy uses a starting capital of 25000$, this is realistic for retail traders.
Lot sizes at each level are set to minimum lot size 0.01, there is no reason for the default to be risky, if you want to risk more or increase equity curve increase the number at your own risk.
Slippage set to 20 points: that's a normal 2 pip slippage you will find on brokers.
Fill limit assumtion 20 points: so it takes 2 pips to confirm a fill, normal forex spread.
Commission is set to 0.00005 per contract: this means that for each contract traded there is a 5$ or whatever base currency pair has as commission. The number is set to 0.00005 because pinescript does not know that 1 contract is 100000 units. So we divide the number by 100000 to get a realistic commission.
The script will also multiply lot size by 100000 because pinescript does not know that lots are 100000 units in forex.
Extra safety limit
Normally the script uses strategy.exit() to exit trades at TP or SL. But because these are created 1 bar after a limit or stop order is filled in pinescript. There are strategy.orders set at the outer boundaries of the script to hedge against that risk. These get deleted bar after the first order is filled. Purely to counteract news bars or huge spikes in price messing up backtest.
🟦 VISUAL GOODIES
I've added a market profile feature to the edge of the grid. This so you can see in which grid zone market has been the most over X bars in the past. Some traders may wish to only turn on the strategy whenever the market profile displays specific characteristics (ranging market for instance).
These simply count how many times a high, low, or close price has been in each zone for X bars in the past. it's these purple boxes at the right side of the chart.
🟦 Script can be fully automated to MT5
There are risk settings in lot sizes or % for alerts and symbol settings provided at the bottom of the indicator. The script will send alert to MT5 broker trying to mimic the execution that happens on tradingview. There are always delays when using a bridge to MT5 broker and there could be errors so be mindful of that. This script sends alerts in format so they can be read by tradingview.to which is a bridge between the platforms.
Use the all alert function calls feature when setting up alerts and make sure you provide the right webhook if you want to use this approach.
Almost every setting in this indicator has a tooltip added to it. So if any setting is not clear hover over the (?) icon on the right of the setting.
W.ARITAS Quantum RSI + BollingerW.ARITAS™ Quantum RSI + Bollinger - Script Overview
The W.ARITAS™ Quantum RSI + Bollinger indicator provides a highly adaptable RSI tool with Bollinger Band cloud overlay. It leverages volatility-based adjustments, quantum-inspired volatility correction, wave-function transformations, and gradient color displays to create a dynamic, visually informative trading tool.
Key Components and Functionalities:
Input Parameters and Visual Controls:
This section allows users to adjust the key variables of the RSI and Bollinger calculations, including base lengths, source data, Bollinger Band width, volatility adjustment factors, and quantum scaling. Visual customization includes color gradient boundaries for RSI values.
Gradient Color Generation:
c_any_size and c_make_gradient functions generate a dynamic color gradient for the RSI visualization. These gradients reflect overbought and oversold zones, and the gradient adapts based on fibonacci values, enhancing visual insights.
Shared Smoothing and Centering Functions:
Key functions like f_rma (custom RMA),f_CenterAroundZero, and f_EnhancedJMA (Jurik Moving Average with wavelet filtering) provide essential smoothing and normalization for the RSI values, making the indicator reactive while reducing rsi signal noise.
Core RSI and Bollinger Calculations:
The custom RSI calculation, f_VRSI, dynamically adjusts based on volatility, leveraging a custom RMA to modify the RSI length according to current market conditions. Similarly, the Bollinger Band calculation, f_EnhancedBollinger, adapts to volatility fluctuations by widening or narrowing the bands, signaling potential trend reversals or breakout points. These bands form the basis of the Bollinger cloud, and when the RSI curve intersects with this cloud, it highlights potential market reversal points.
Quantum Effects and Wave Function Modulation:
Quantum Volatility Correction f_QuantumVolatilityCorrection: Applies quantum-inspired oscillations to correct the volatility measurement, stabilizing and balancing the RSI/Bollinger responsiveness during high or low volatility periods.
Wave Functions f_WaveFunction: Integrates Fibonacci and phase modulation, introducing cyclical patterns that align with observed market rhythms. This function reshapes the RSI/Bollinger values into a sine-like wave, creating oscillatory behavior that enhances trend identification.
Enhanced Plotting and Boundary Visualization:
Smart Gradient Colors: Using smart_gradient_normalized, the color gradient adapts to RSI values, visualizing shifts in market momentum and potential reversal zones.
Boundary Lines and Fills: Filled boundary lines demarcate overbought, oversold, and mid-range zones. These lines help users identify extremes, which can signify potential entry or exit points.
Educational and Community Value:
Each function is purpose-built and original, developed solely for this script except for the JMA function, which is a modified version of Jurik’s algorithm, acknowledged accordingly in the comments.
The script, provides a rich educational resource for the TradingView community. It offers a complete, well-documented example of a quantum-inspired technical indicator with advanced volatility adjustment, suitable for both educational purposes and practical trading.
Bearish BreakerThe Bearish Breaker candlestick pattern is a strong bearish pattern that this script highlights .
It finds and highlights a close of a bearish candle below the previous 2 candles. It also plots the FVG line and the 50% and 61.8% fib levels on the Breaker Candle. It also plots the suggested stop loss levels.
To trade wait for the breaker candle to close, wait for a pullback into the shaded area ( in-between the 50% fib and FVG lines, (must be in the immediate 1 or 2 candles after the breaker. place your stop at the suggested level automatically plotted, and target the low of the Breaker or a 2-1 Risk-Reward.
Disclaimer
This script is for informational and educational purposes , past performance is not indicative of future results, the author of this script is not liable for losses incurred by using this indicator
Stochastic Buy Signal By DemirkanThis indicator combines tools like the Stochastic Oscillator, Bollinger Bands (BB), Exponential Moving Average (EMA), and Simple Moving Average (SMA) to generate buy (long) and uptrend signals. Such a combination can help with precise timing and identifying the direction of trends in the market. Here’s how it works:
1. Stochastic Oscillator:
Two different Stochastic Oscillators are used:
First Stochastic (K1 and D1) and Second Stochastic (K2 and D2): Both stochastic indicators measure how the price is moving within a certain period to identify overbought and oversold regions.
Condition: If both Stochastics cross each other upwards (ta.crossover(k1, d1) and ta.crossover(k2, d2)) and both K1 and K2 are below 40, it suggests the market is in an oversold region, indicating a potential buying opportunity.
2. Bollinger Bands (BB):
BB Upper and Lower Bands: Bollinger Bands measure market volatility. If the price is below the middle band, it might suggest a potential upward movement (buy opportunity).
Condition: The buy signal occurs when the price is below the middle band of the Bollinger Bands.
3. Exponential Moving Average (EMA):
EMA 200: This is a long-term trend indicator. If the price is above the EMA 200, the market is likely in an upward trend.
Condition: For a buy signal, the price needs to be above the EMA 200, indicating that the market is not in a downtrend but rather showing an upward bias.
4. Simple Moving Average (SMA):
SMA 10: This is a short-term trend indicator.
SMA 30 and EMA 150: These are long-term trend indicators that help to better visualize the overall market conditions.
Uptrend Signal: If the price closes above both SMA 30 and EMA 150, this suggests the start of an uptrend, and the "UPTREND" label will be shown.
5. Buy Signal (Long Signal):
The buy signal is triggered when the following conditions are met:
The first and second Stochastic indicators must both be below 40 (indicating an oversold market).
The price should be below the Bollinger Bands middle line.
The price should be above the EMA 200.
When all these conditions are met, the market is likely to move upwards, and a buy signal is generated.
6. Uptrend Signal:
The uptrend signal is generated when SMA 30 and EMA 150 cross over and the price closes above both SMA 30 and EMA 150. This indicates the beginning of an uptrend, and the "UPTREND" label will appear.
Benefits for the User:
Long Signal: The buy signal provides an opportunity for traders to enter the market when it’s recovering from an oversold region and moving upwards.
Uptrend Signal: The uptrend signal can be used to identify when an uptrend has started, which is useful for traders looking to take longer-term positions.
Signal Display:
Buy Signal: This appears as a green-colored "BUY" label below the bars.
Uptrend Signal: This appears as a blue-colored "UPTREND" label above the bars.
This indicator is especially useful for detecting the start of a trend and entering the market at the right time. Traders can easily identify when the market is in an oversold condition, when it is showing upward signals, and when a strong trend is beginning.
Key Prices & LevelsThis indicator is designed to visualize key price levels & areas for NY trading sessions based on the price action from previous day, pre-market activity and key areas from NY session itself. The purpose is to unify all key levels into a single indicator, while allowing a user to control which levels they want to visualize and how.
The indicator identifies the following:
Asia Range High/Lows, along with ability to visualize with a box
London Range High/Lows, along with ability to visualize with a box
Previous Day PM Session High/Lows
Current Day Lunch Session High/Lows, starts appearing after 12pm EST once the lunch session starts
New York Open (8:30am EST) price
9:53 Open (root candle) price
New York Midnight (12:00am EST) price
Previous Day High/Lows
First 1m FVG after NY Session Start (after 9:30am), with the ability to configure minimum FVG size.
Opening Range Gap, showing regular market hours close price (previous day 16:15pm EST close), new session open price (9:30am EST open) and optionally the mid-point between the two
Asia Range 50% along with 2, 2.5, 4 and 4.5 deviations of the Asia range in both directions
Configurability:
Each price level can be turned off
Styles in terms of line type, color
Ability to turn on/off labels for price levels and highlighting of prices on price scale
Ability to control label text for price levels
How is it different:
Identifies novel concepts such as 9:53 open, root candle that can be used as a bounce/resistance area during AM/PM sessions as well as confirmation of direction once closed over/under to indicate price's willingness to continue moving in the same direction.
It also shows 1st 1m FVG after New York Session open, that can be used to determine direction of the price action depending on PA's reaction to that area. While both 9:53 and 1m FVG are 1m based markers, these levels are visualized by the indicator on all timeframes from 15s to 1h.
Additionally the indicator is able to both highlight key prices in the price scale pane as well as combine labels to minimize clutter when multiple levels have the same price.
Lastly for in-session ranges such as Lunch High/Low the indicator updates the range in real-time as opposed to waiting for the lunch session to be over.
SMC Indicator1 Order Block Detection:
Identifies bullish and bearish order blocks by looking for significant highs and lows over a specified lookback period.
2 Break of Structure (BOS):
Sets up alerts for Break of Structure when there is a new high (for bullish) or new low (for bearish) in the lookback range.
3 Supply and Demand Zones:
Highlights supply zones (red) above bars when a bearish order block is identified and demand zones (green) below bars for bullish order blocks.
4 Liquidity Zones:
Marks equal highs and equal lows as potential liquidity zones (using blue circles) which can act as areas for potential stop-loss hunts.
5 Alerts:
Sets alerts for when a Break of Structure (BOS) occurs.
AXEL RSI colour candles [Insomnia]**AXEL RSI candles **
The "AXEL RSI candles " indicator is designed to help traders visualize overbought and oversold conditions by coloring candlesticks based on RSI (Relative Strength Index) levels. This indicator uses three customizable levels for both overbought and oversold conditions, providing a more detailed view of market momentum and potential reversal points.
### Key Features
1. **Customizable RSI Levels**:
- The indicator allows users to adjust the length of the RSI period and define three separate levels for overbought (default: 74, 80, and 90) and oversold (default: 30, 25, and 20) conditions.
- These levels help identify different stages of market momentum, with stronger colors indicating deeper levels of overbought or oversold conditions.
2. **Candle Color Coding**:
- Based on RSI levels, the indicator colors the candles to reflect the strength of the overbought or oversold condition:
- Light blue for the first overbought level (74), blue for the second (80), and dark blue for the highest level (90).
- Yellow for the first oversold level (30), orange for the second (25), and black for the deepest level (20).
- This visual representation allows traders to quickly assess the market’s state and make informed decisions based on price momentum.
3. **Real-Time Adaptation**:
- The color of the candles changes in real-time as the RSI value fluctuates, enabling traders to react promptly to shifts in market momentum. This feature is especially useful for identifying potential entry and exit points based on overbought and oversold conditions.
### How to Use
- **Overbought Signals**: When the RSI value enters the first, second, or third overbought level, the candles will turn light blue, blue, or dark blue, respectively. These colors can signal potential reversal zones or areas to watch for weakening momentum.
- **Oversold Signals**: When the RSI value falls into the oversold levels, the candles turn yellow, orange, or black. These colors indicate potential buying opportunities or areas where momentum may shift upward.
- **Customizability**: Users can adjust the RSI length and each of the overbought and oversold thresholds, tailoring the indicator to their preferred settings and trading style.
### Disclaimer
This indicator provides visual assistance in analyzing market momentum, but it should not be solely relied upon for trading decisions. Combining this indicator with additional tools, such as support and resistance levels or trend analysis, can enhance trading accuracy.
TruVolumeTrendThis indicator is special for trend confirmation backed up by volume. You may be technically correct but without volume, you will become the liquidity before the momentum you are expecting.
Use and tweak to your best strategy.
Bullish Breaker Candle1. This is a candlestick pattern that forms quite frequently that is a strong bullish indication, the script is when a candle closes above the previous 2 candles highs it will highlight that candle and we call it a breaker candle.
2. To trade this pattern I like to wait for a pullback into the shaded area of this indicator (between the 50% and FVG plotted lines ) on the next 1 or 2 candles. This is where you would enter a long position , with a stop loss at the suggested stop loss line that is automatically plotted for you below the Breaker Candle a few ticks. Your target should be the high of the breaker candle or a 2-1 risk-reward.
3. What makes this script original and useful is it automatically plots the fib levels and the high of the previous candle for extremely accurate entries, also plots the suggested stop loss price and also plots how much the loss would be if your entry was at the FVG line for quick risk assessment.
4. Set alerts and get notified when the Breaker candle closes and never miss a trade.
Disclaimer.
This script is for educational and illustrative purposes, all trading comes with risk, current results are not indicative of future performance, the author of this script is not responsible for any losses incurred by using this script. This is not financial advice.
Order BlockEn trading, un Order Block es una zona de precio en la que se han acumulado grandes órdenes de compra o venta por parte de instituciones financieras, bancos u operadores de gran escala. Estos bloques de órdenes suelen generar un movimiento fuerte en la dirección de la tendencia cuando son activados, ya que representan áreas en las que se agrupan grandes volúmenes de dinero.
¿Cómo se identifica un Order Block?
Temporalidades Altas: Los Order Blocks suelen ser más relevantes en temporalidades altas (como 4H, 1D o incluso 1W), ya que en estos marcos los movimientos de precio tienden a respetar estas zonas más consistentemente.
Patrones en el Precio: Usualmente, un Order Block puede detectarse tras un cambio brusco de precio. Por ejemplo, una vela alcista fuerte que sigue a varias velas bajistas en la misma zona podría indicar la presencia de un Order Block de compra.
Indicadores Especializados: En TradingView, existen indicadores como el Order Block Detector (de LuxAlgo, que mencionaste usar) que ayudan a identificar estas zonas de forma más precisa y automática, basándose en la acción del precio y el volumen.
Uso en Estrategias de Trading
Los Order Blocks son útiles como zonas de soporte o resistencia importantes:
Zonas de Entrada y Salida: Los traders pueden buscar entradas en estos niveles esperando que el precio rebote en la dirección de la tendencia original.
Gestión de Riesgo: Al operar en torno a estas zonas, puedes ajustar tu stop loss y take profit, aprovechando la liquidez que suele encontrarse en estos bloques.
