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.
M-oscillator
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.
Labels Buy and Sell (MACD) // ElpatrontradeThese are Long and Short labels based on the crossings of a Macd. The Macd that was worked with was modified in its configuration to smooth out the crossings and thus we managed to make them cleaner so that when it came to passing them to labels there was no noise.
It also includes a filter with two values of the oscillator itself (400;-400) to eliminate false signals in lateralizations or low volume areas and thus leaving the signals that occur in overbought and oversold areas, increasing the probability that the label is correct.
In any case, it is simply an analysis tool that has served as a didactic example, it should NOT be taken as trading signals. Do your own research and make your own decisions under your sole responsibility. Thank you
Exposure Oscillator (Cumulative 0 to ±100%)
Exposure Oscillator (Cumulative 0 to ±100%)
This Pine Script indicator plots an "Exposure Oscillator" on the chart, which tracks the cumulative market exposure from a range of technical buy and sell signals. The exposure is measured on a scale from -100% (maximum short exposure) to +100% (maximum long exposure), helping traders assess the strength of their position in the market. It provides an intuitive visual cue to aid decision-making for trend-following strategies.
Buy Signals (Increase Exposure Score by +10%)
Buy Signal 1 (Cross Above 21 EMA):
This signal is triggered when the price crosses above the 21-period Exponential Moving Average (EMA), where the current bar closes above the EMA21, and the previous bar closed below the EMA21. This indicates a potential upward price movement as the market shifts into a bullish trend.
buySignal1 = ta.crossover(close, ema21)
Buy Signal 2 (Trending Above 21 EMA):
This signal is triggered when the price closes above the 21-period EMA for each of the last 5 bars, indicating a sustained bullish trend. It confirms that the price is consistently above the EMA21 for a significant period.
buySignal2 = ta.barssince(close <= ema21) > 5
Buy Signal 3 (Living Above 21 EMA):
This signal is triggered when the price has closed above the 21-period EMA for each of the last 15 bars, demonstrating a strong, prolonged uptrend.
buySignal3 = ta.barssince(close <= ema21) > 15
Buy Signal 4 (Cross Above 50 SMA):
This signal is triggered when the price crosses above the 50-period Simple Moving Average (SMA), where the current bar closes above the 50 SMA, and the previous bar closed below it. It indicates a shift toward bullish momentum.
buySignal4 = ta.crossover(close, sma50)
Buy Signal 5 (Cross Above 200 SMA):
This signal is triggered when the price crosses above the 200-period Simple Moving Average (SMA), where the current bar closes above the 200 SMA, and the previous bar closed below it. This suggests a long-term bullish trend.
buySignal5 = ta.crossover(close, sma200)
Buy Signal 6 (Low Above 50 SMA):
This signal is true when the lowest price of the current bar is above the 50-period SMA, indicating strong bullish pressure as the price maintains itself above the moving average.
buySignal6 = low > sma50
Buy Signal 7 (Accumulation Day):
An accumulation day occurs when the closing price is in the upper half of the daily range (greater than 50%) and the volume is larger than the previous bar's volume, suggesting buying pressure and accumulation.
buySignal7 = (close - low) / (high - low) > 0.5 and volume > volume
Buy Signal 8 (Higher High):
This signal occurs when the current bar’s high exceeds the highest high of the previous 14 bars, indicating a breakout or strong upward momentum.
buySignal8 = high > ta.highest(high, 14)
Buy Signal 9 (Key Reversal Bar):
This signal is generated when the stock opens below the low of the previous bar but rallies to close above the previous bar’s high, signaling a potential reversal from bearish to bullish.
buySignal9 = open < low and close > high
Buy Signal 10 (Distribution Day Fall Off):
This signal is triggered when a distribution day (a day with high volume and a close near the low of the range) "falls off" the rolling 25-bar period, indicating the end of a bearish trend or selling pressure.
buySignal10 = ta.barssince(close < sma50 and close < sma50) > 25
Sell Signals (Decrease Exposure Score by -10%)
Sell Signal 1 (Cross Below 21 EMA):
This signal is triggered when the price crosses below the 21-period Exponential Moving Average (EMA), where the current bar closes below the EMA21, and the previous bar closed above it. It suggests that the market may be shifting from a bullish trend to a bearish trend.
sellSignal1 = ta.crossunder(close, ema21)
Sell Signal 2 (Trending Below 21 EMA):
This signal is triggered when the price closes below the 21-period EMA for each of the last 5 bars, indicating a sustained bearish trend.
sellSignal2 = ta.barssince(close >= ema21) > 5
Sell Signal 3 (Living Below 21 EMA):
This signal is triggered when the price has closed below the 21-period EMA for each of the last 15 bars, suggesting a strong downtrend.
sellSignal3 = ta.barssince(close >= ema21) > 15
Sell Signal 4 (Cross Below 50 SMA):
This signal is triggered when the price crosses below the 50-period Simple Moving Average (SMA), where the current bar closes below the 50 SMA, and the previous bar closed above it. It indicates the start of a bearish trend.
sellSignal4 = ta.crossunder(close, sma50)
Sell Signal 5 (Cross Below 200 SMA):
This signal is triggered when the price crosses below the 200-period Simple Moving Average (SMA), where the current bar closes below the 200 SMA, and the previous bar closed above it. It indicates a long-term bearish trend.
sellSignal5 = ta.crossunder(close, sma200)
Sell Signal 6 (High Below 50 SMA):
This signal is true when the highest price of the current bar is below the 50-period SMA, indicating weak bullishness or a potential bearish reversal.
sellSignal6 = high < sma50
Sell Signal 7 (Distribution Day):
A distribution day is identified when the closing range of a bar is less than 50% and the volume is larger than the previous bar's volume, suggesting that selling pressure is increasing.
sellSignal7 = (close - low) / (high - low) < 0.5 and volume > volume
Sell Signal 8 (Lower Low):
This signal occurs when the current bar's low is less than the lowest low of the previous 14 bars, indicating a breakdown or strong downward momentum.
sellSignal8 = low < ta.lowest(low, 14)
Sell Signal 9 (Downside Reversal Bar):
A downside reversal bar occurs when the stock opens above the previous bar's high but falls to close below the previous bar’s low, signaling a reversal from bullish to bearish.
sellSignal9 = open > high and close < low
Sell Signal 10 (Distribution Cluster):
This signal is triggered when a distribution day occurs three times in the rolling 7-bar period, indicating significant selling pressure.
sellSignal10 = ta.valuewhen((close < low) and volume > volume , 1, 7) >= 3
Theme Mode:
Users can select the theme mode (Auto, Dark, or Light) to match the chart's background or to manually choose a light or dark theme for the oscillator's appearance.
Exposure Score Calculation: The script calculates a cumulative exposure score based on a series of buy and sell signals.
Buy signals increase the exposure score, while sell signals decrease it. Each signal impacts the score by ±10%.
Signal Conditions: The buy and sell signals are derived from multiple conditions, including crossovers with moving averages (EMA21, SMA50, SMA200), trend behavior, and price/volume analysis.
Oscillator Visualization: The exposure score is visualized as a line on the chart, changing color based on whether the exposure is positive (long position) or negative (short position). It is limited to the range of -100% to +100%.
Position Type: The indicator also indicates the position type based on the exposure score, labeling it as "Long," "Short," or "Neutral."
Horizontal Lines: Reference lines at 0%, 100%, and -100% visually mark neutral, increasing long, and increasing short exposure levels.
Exposure Table: A table displays the current exposure level (in percentage) and position type ("Long," "Short," or "Neutral"), updated dynamically based on the oscillator’s value.
Inputs:
Theme Mode: Choose "Auto" to use the default chart theme, or manually select "Dark" or "Light."
Usage:
This oscillator is designed to help traders track market sentiment, gauge exposure levels, and manage risk. It can be used for long-term trend-following strategies or short-term trades based on moving average crossovers and volume analysis.
The oscillator operates in conjunction with the chart’s price action and provides a visual representation of the market’s current trend strength and exposure.
Important Considerations:
Risk Management: While the exposure score provides valuable insight, it should be combined with other risk management tools and analysis for optimal trading decisions.
Signal Sensitivity: The accuracy and effectiveness of the signals depend on market conditions and may require adjustments based on the user’s trading strategy or timeframe.
Disclaimer:
This script is for educational purposes only. Trading involves significant risk, and users should carefully evaluate all market conditions and apply appropriate risk management strategies before using this tool in live trading environments.
Chaikin DivergenceOverview
The Chaikin Divergence is a powerful technical indicator designed to enhance the traditional Chaikin Oscillator by incorporating divergence detection between the oscillator and price action. This advanced tool not only plots the Chaikin Oscillator but also identifies and highlights bullish and bearish divergences, providing traders with valuable insights into potential trend reversals and momentum shifts.
Key Features
Chaikin Oscillator Plotting: Visual representation of the Chaikin Oscillator, aiding in the analysis of market momentum based on volume and price.
Divergence Detection:
Bullish Divergence: Indicates potential upward reversals when price forms lower lows while the oscillator forms higher lows.
Bearish Divergence: Signals possible downward reversals when price creates higher highs while the oscillator forms lower highs.
Customizable Settings:
Fast Length & Slow Length: Adjust the periods for the Exponential Moving Averages (EMA) used in the oscillator calculation.
Pivot Detection Parameters: Define the sensitivity of pivot high and pivot low detection with adjustable left and right bars.
Bars Lookback for Divergence: Set the number of bars to look back for identifying divergences.
Color Customization: Choose distinct colors for bullish and bearish divergence labels to match your trading preferences.
Visual Indicators:
Divergence Labels: Clear and distinct labels (arrows or dots) on the chart indicating the type and location of divergences.
Zero Line: A dashed zero line to reference the oscillator’s crossing points.
Chaikin Oscillator Calculation:
The indicator calculates the Chaikin Oscillator by subtracting the slow EMA of the Accumulation/Distribution Line (ta.accdist) from the fast EMA.
This oscillates around the zero line, indicating buying and selling pressure.
Pivot Detection:
Utilizes ta.pivothigh and ta.pivotlow functions to identify significant pivot points in price action. These pivot points serve as reference points for divergence analysis.
Divergence Identification:
Bullish Divergence: Detected when a recent pivot low in price is lower than the previous pivot low, while the corresponding oscillator value is higher than the previous oscillator pivot.
Bearish Divergence: Identified when a recent pivot high in price is higher than the previous pivot high, but the oscillator value is lower than the previous oscillator pivot.
Label Plotting:
When a divergence is detected, the indicator plots a label (arrow or dot) on the chart at the pivot point, signaling the type of divergence.
Adding the Indicator:
Open TradingView and navigate to the chart where you want to apply the indicator.
Open the Pine Editor, paste the Chaikin Oscillator with Divergences script, and add it to your chart.
Configuring Settings:
Fast Length & Slow Length: Adjust these to modify the sensitivity of the Chaikin Oscillator. Shorter periods make the oscillator more responsive to price changes.
Left Bars for Pivots & Right Bars for Pivots: Define how many bars to the left and right are considered when identifying pivot points. Increasing these values makes pivot detection less sensitive.
Bars Lookback for Divergence: Set how far back the indicator should search for previous pivot points when identifying divergences. A higher value allows detection over a longer timeframe.
Bullish/Bearish Divergence Colors: Choose colors that stand out against your chart background for easy identification of divergence signals.
Interpreting Signals:
Bullish Divergence Labels: Appear when there's a potential upward reversal, signaling a possible buying opportunity.
Bearish Divergence Labels: Show up when a downward reversal might be imminent, indicating a possible selling opportunity.
Oscillator Crosses Zero: Pay attention to when the oscillator crosses the zero line, as this can also signal changes in momentum.
Combining with Other Indicators:
For enhanced trading strategies, combine divergence signals with other technical indicators or chart patterns to confirm potential trade setups.
Moving Average Percentage DifferenceMoving average is a great tool to identify the asset direction. However, it's hard to see whether the moving average speeds up or slows down from just looking at it. Ideally we want it to go faster as it will show a strong trend. And if it slows down - then the trend becomes weaker. This indicator helps to identify it. Theoretically, it could be shown with an angle of the moving average, but I don't like this idea as the angle depends on the scale: you zoom in and it looks very steep, you zoom out - and it's all flat. But the percentage change is always the percentage, no matter what zoom you use.
It also allows you to set a twilight zone to filter periods when MA does nothing.
Think about this indicator from this perspective: if a normal moving average shows the speed of a trend, then this indicator shows the change of the speed or in other words - acceleration.
Bottom signalСтратегия торговли на основе индикаторов перекупленности и перепроданности
1. Выбор таймфрейма
Рекомендуемые таймфреймы: 1 час, 4 часа или дневной график. Выбор таймфрейма зависит от вашего стиля торговли (дневная торговля, свинг-трейдинг и т.д.).
2. Индикаторы
Используйте следующие индикаторы для определения перекупленности и перепроданности:
Индекс относительной силы (RSI)
Стохастический осциллятор
Индекс каналов товаров (CCI)
MACD
Боллинджерские полосы
Объем
3. Условия для входа в сделку
Сигналы на продажу (перекупленность)
RSI: Значение выше 70 (или 80 для сильной перекупленности).
Стохастический осциллятор: %K пересекает %D сверху вниз при значении выше 80.
CCI: Значение выше 100 (или 150 для сильной перекупленности).
MACD: Высокие значения, которые начинают снижаться, особенно при дивергенции с ценой.
Боллинджерские полосы: Цена касается или превышает верхнюю полосу.
Объем: Резкий рост объема на фоне растущих цен, за которым следует замедление ценового движения.
Сигналы на покупку (перепроданность)
RSI: Значение ниже 30 (или 20 для сильной перепроданности).
Стохастический осциллятор: %K пересекает %D снизу вверх при значении ниже 20.
CCI: Значение ниже -100 (или -150 для сильной перепроданности).
MACD: Низкие значения, которые начинают расти, особенно при дивергенции с ценой.
Боллинджерские полосы: Цена касается или опускается ниже нижней полосы.
Объем: Резкое снижение объема на фоне падающих цен, за которым следует восстановление.
4. Управление рисками
Стоп-лоссы: Устанавливайте стоп-лоссы на уровне 1-2% от вашего капитала. Можно использовать уровни поддержки/сопротивления для более точных установок.
Размер позиции: Определите размер позиции в зависимости от вашего риска. Рекомендуется не рисковать более 1-2% вашего капитала на одну сделку.
5. Выход из сделки
Тейк-профит: Устанавливайте тейк-профит на уровне 1.5-2.0 R от вашего риска (например, если ваш стоп-лосс составляет 50 пунктов, тейк-профит может быть установлен на 75-100 пунктов).
Пересечение индикаторов: Закрывайте сделку, если индикаторы показывают противоположные сигналы (например, если RSI падает ниже 50 после покупки).
6. Мониторинг и анализ
Ведение журнала сделок: Записывайте все сделки, чтобы анализировать их эффективность и выявлять закономерности.
Регулярный анализ: Периодически пересматривайте свою стратегию, чтобы адаптироваться к изменяющимся рыночным условиям.
Заключение
Эта стратегия основывается на использовании индикаторов перекупленности и перепроданности для определения точек входа и выхода. Однако важно помнить, что ни одна стратегия не гарантирует успеха, и рекомендуется тестировать её на демо-счете перед использованием на реальных рынках. Также стоит учитывать общие рыночные условия и новости, которые могут повлиять на движение цен.
Smooth Price Oscillator [BigBeluga]The Smooth Price Oscillator by BigBeluga leverages John Ehlers' SuperSmoother filter to produce a clear and smooth oscillator for identifying market trends and mean reversion points. By filtering price data over two distinct periods, this indicator effectively removes noise, allowing traders to focus on significant signals without the clutter of market fluctuations.
🔵 KEY FEATURES & USAGE
● SuperSmoother-Based Oscillator:
This oscillator uses Ehlers' SuperSmoother filter, applied to two different periods, to create a smooth output that highlights price momentum and reduces market noise. The dual-period application enables a comparison of long-term and short-term price movements, making it suitable for both trend-following and reversion strategies.
// @function SuperSmoother filter based on Ehlers Filter
// @param price (float) The price series to be smoothed
// @param period (int) The smoothing period
// @returns Smoothed price
method smoother_F(float price, int period) =>
float step = 2.0 * math.pi / period
float a1 = math.exp(-math.sqrt(2) * math.pi / period)
float b1 = 2 * a1 * math.cos(math.sqrt(2) * step / period)
float c2 = b1
float c3 = -a1 * a1
float c1 = 1 - c2 - c3
float smoothed = 0.0
smoothed := bar_index >= 4
? c1 * (price + price ) / 2 + c2 * smoothed + c3 * smoothed
: price
smoothed
● Mean Reversion Signals:
The indicator identifies two types of mean reversion signals:
Simple Mean Reversion Signals: Triggered when the oscillator moves between thresholds of 1 and Overbought or between thresholds -1 and Ovesold, providing additional reversion opportunities. These signals are useful for capturing shorter-term corrections in trending markets.
Strong Mean Reversion Signals: Triggered when the oscillator above the overbought (upper band) or below oversold (lower band) thresholds, indicating a strong reversal point. These signals are marked with a "+" symbol on the chart for clear visibility.
Both types of signals are plotted on the oscillator and the main chart, helping traders to quickly identify potential trade entries or exits.
● Dynamic Bands and Thresholds:
The oscillator includes overbought and oversold bands based on a dynamically calculated standard deviation and EMA. These bands provide visual boundaries for identifying extreme price conditions, helping traders anticipate potential reversals at these levels.
● Real-Time Labels:
Labels are displayed at key thresholds and bands to indicate the oscillator’s status: "Overbought," "Oversold," and "Neutral". Mean reversion signals are also displayed on the main chart, providing an at-a-glance summary of current indicator conditions.
● Customizable Threshold Levels:
Traders can adjust the primary threshold and smoothing length according to their trading style. A higher threshold can reduce signal frequency, while a lower setting will provide more sensitivity to market reversals.
The Smooth Price Oscillator by BigBeluga is a refined, noise-filtered indicator designed to highlight mean reversion points with enhanced clarity. By providing both strong and simple reversion signals, as well as dynamic overbought/oversold bands, this tool allows traders to spot potential reversals and trend continuations with ease. Its dual representation on the oscillator and the main price chart offers flexibility and precision for any trading strategy focused on capturing cyclical market movements.
Bitcoin: The Puell MultipleBitcoin: The Puell Multiple Indicator Overview
The Puell Multiple is an indicator originally used to analyze Bitcoin's valuation based on mining revenue. However, this approximate version uses Bitcoin's current price to give us a similar perspective. It’s helpful for understanding whether Bitcoin’s price is currently high or low compared to its historical trend.
Recommended Timeframe:
For optimal insights, it’s recommended to use this indicator on the weekly timeframe. This timeframe smooths out daily fluctuations, making it easier to capture long-term valuation trends and better understand market cycles.
What Does the Indicator Show?
This indicator compares the current price of Bitcoin to its average price over the past 365 days. Here’s what it helps you see:
When Bitcoin Might Be Undervalued:
If the indicator value is below a certain low threshold (e.g., 0.51 by default), it suggests that Bitcoin might be undervalued compared to its long-term trend. Historically, periods where the indicator is low have sometimes coincided with good buying opportunities, as Bitcoin is seen as “cheap” in relation to its recent average.
When Bitcoin Might Be Overvalued:
If the indicator value is above a certain high threshold (e.g., 3.4 by default), it suggests that Bitcoin might be overvalued. In the past, these high points have sometimes signaled times to consider selling, as Bitcoin is viewed as “expensive” relative to its recent trend.
How to Read the Indicator
Indicator Line: The main line in the indicator panel shows the value of the Puell Multiple over time, fluctuating based on the comparison between current and past prices.
Threshold Lines: Two horizontal lines represent the high and low thresholds:
Bottom Threshold (Red Line): Indicates a high value, suggesting that Bitcoin might be overvalued.
Top Threshold (Green Line): Indicates a low value, suggesting that Bitcoin might be undervalued.
Color Coding:
The background may appear green when the indicator is below the low threshold (suggesting undervaluation) or red when it’s above the high threshold (suggesting overvaluation).
How You Can Use This Indicator
Long-Term Investment Insights: This indicator can help you identify favorable buying or selling conditions based on historical price trends. When the value is low, Bitcoin might be in a more attractive price range; when it’s high, the price might be inflated compared to its yearly trend.
Market Timing: This tool is best used alongside other indicators, as it’s primarily helpful for understanding broader trends rather than predicting short-term movements.
The Puell Multiple (Approximate) indicator thus offers a historical lens on Bitcoin’s valuation, helping you make decisions informed by past price trends. For best results, keep in mind the weekly timeframe recommendation to capture meaningful market cycles.
ATAMOKU: A Hierarchical Scoring Tool Based on Ichimoku Principle
Overview and Purpose of ATAMOKU
The name "ATAMOKU" combines “Ata” (meaning “ancestor” in Turkish) and “Moku” (meaning “cloud” in Japanese). ATAMOKU is built on Ichimoku principles, designed to assist traders in analyzing trend direction and strength. By providing a structured, score-based approach, ATAMOKU aims to make Ichimoku data more accessible for identifying potential entry and exit points.
How ATAMOKU Works
ATAMOKU uses Ichimoku’s essential elements—including the Conversion Line (Tenkan-sen), Base Line (Kijun-sen), and Leading Spans A and B—and applies a scoring hierarchy to assess market conditions. The scoring system measures trend strength and alignment by comparing the relationships between these elements. This method allows ATAMOKU to produce an objective score that reflects whether the market is in an “ideal” or “non-ideal” state.
Key Features of ATAMOKU
1 - Hierarchy-Based Scoring System:
ATAMOKU calculates a score that represents the strength and direction of the current trend. Each component of Ichimoku is assigned a weight, and the indicator scores these components based on their hierarchical position. When all components align for an upward trend, ATAMOKU’s score will approach +364 (representing an ideal state). In contrast, a score of -364 indicates a non-ideal or bearish alignment.
2 - Optimal and Suboptimal Tracking:
ATAMOKU includes Optimal and Suboptimal markers to track the highest and lowest scores over a specific period, with a default of 52 periods. The Optimal score captures the highest recorded value within the period, while the Suboptimal score captures the lowest. These markers help traders gauge how current conditions compare to recent peaks and troughs, indicating market stability or volatility.
3 - Real-Time Scoring Display (Hierarchy Table):
ATAMOKU uses a Hierarchy Table adjacent to the main chart to present real-time scoring data for each Ichimoku component. This table displays values for Conversion Line, Base Line, Leading Spans, and Lagging Span, providing traders with a detailed view of each component’s contribution to the total score. By referencing the table, traders can understand the weight and impact of each Ichimoku element on the overall score.
4 - Histogram Visualization:
ATAMOKU’s scores are displayed on a histogram with green and red bars to indicate market sentiment. Green bars represent bullish conditions, while red bars indicate bearish conditions. This visual format allows traders to quickly assess trend direction and strength at a glance, providing context for decision-making.
5 - Signal and Smoothing Lines:
To help reduce noise, ATAMOKU features Signal and Smooth lines, which can be customized using different smoothing methods (such as SMA, EMA, or WMA). When the Signal and Smooth lines cross, the indicator will label the trend as UP or DOWN based on the direction of the crossover. This feature helps traders detect potential reversals or trend confirmations.
6 - Adjustable Settings:
* Scoring Weights: Traders can configure the relative weights of each Ichimoku component to match their analysis preferences.
* Smoothing Techniques: Users may choose from SMA, EMA, and WMA smoothing methods to adjust signal sensitivity.
* Period Adjustments: Scoring and smoothing period lengths can be customized to fit various trading styles and time frames.
Intended Use and Practical Application
ATAMOKU is best used alongside the Ichimoku Cloud, as its scoring and signal features complement the visual data provided by Ichimoku. The Hierarchy Score, combined with Optimal/Suboptimal markers, gives traders insight into the current market conditions and allows for comparisons across time. ATAMOKU is adaptable to any time frame and provides both trend analysis and potential entry/exit signals based on Ichimoku principles.
Legal Disclaimer
ATAMOKU is a technical analysis tool and does not guarantee profitability. It is designed to aid in decision-making by providing additional market insights. Traders are encouraged to exercise their judgment and assume responsibility for their trading actions.
Trend of Multiple Oscillator Dashboard ModifiedDescription: The "Trend of Multiple Oscillator Dashboard Modified" is a powerful Pine Script indicator that provides a dashboard view of various oscillator and trend-following indicators across multiple timeframes. This indicator helps traders to assess trend conditions comprehensively by integrating popular technical indicators, including MACD, EMA, Stochastic, Elliott Wave, DID (Curta, Media, Longa), Price Volume Trend (PVT), Kuskus Trend, and Wave Trend Oscillator. Each indicator’s trend signal (bullish, bearish, or neutral) is displayed in a color-coded dashboard, making it easy to spot the consensus or divergence in trends across different timeframes.
Key Features:
Multi-Timeframe Analysis: Displays trend signals across five predefined timeframes (1, 2, 3, 5, and 10 minutes) for each included indicator.
Customizable Inputs: Allows for customization of key parameters for each oscillator and trend-following indicator.
Trend Interpretation: Each indicator is visually represented with green (bullish), red (bearish), and yellow (neutral) trend markers, making trend identification intuitive and quick.
Trade Condition Controls: Input options for the number of positive and negative conditions needed to trigger entries and exits, allowing users to refine the decision-making criteria.
Delay Management: Options for re-entry conditions based on both price movement (in points) and the minimum number of candles since the last exit, giving users flexibility in managing trade entries.
Usage: This indicator is ideal for traders who rely on multiple oscillators and moving averages to gauge trend direction and strength across timeframes. The dashboard allows users to observe trends at a glance and make informed decisions based on the alignment of various trend indicators. It’s particularly useful in consolidating signals for strategies that require multiple conditions to align before entering or exiting trades.
Note: Ensure that you’re familiar with each oscillator’s functionality, as some indicators like Elliott Wave and Wave Trend are simplified for visual coherence in this dashboard.
Disclaimer: This script is intended for educational and informational purposes only. Use it with caution and adapt it to your specific trading plan.
Developer's Remark: "This indicator's comprehensive design allows traders to filter noise and identify the most robust trends effectively. Use it to visualize trends across timeframes, understand oscillator behavior, and enhance decision-making with a more strategic approach."
Volume Flow ConfluenceVolume Flow Confluence (CMF-KVO Integration)
Core Function:
The Volume Flow Confluence Indicator combines two volume-analysis methods: Chaikin Money Flow (CMF) and the Klinger Volume Oscillator (KVO). It displays a histogram only when both indicators align in their respective signals.
Signal States:
• Green Bars: CMF is positive (> 0) and KVO is above its signal line
• Red Bars: CMF is negative (< 0) and KVO is below its signal line
• No Bars: When indicators disagree
Technical Components:
Chaikin Money Flow (CMF):
Measures the relationship between volume and price location within the trading range:
• Calculates money flow volume using close position relative to high/low range
• Aggregates and normalizes over specified period
• Default period: 20
Klinger Volume Oscillator (KVO):
Evaluates volume in relation to price movement:
• Tracks trend changes using HLC3
• Applies volume force calculation
• Uses two EMAs (34/55) with a signal line (13)
Practical Applications:
1. Signal Identification
- New colored bars after blank periods show new agreement between indicators
- Color intensity differentiates new signals from continuations
- Blank spaces indicate lack of agreement
2. Trend Analysis
- Consecutive colored bars show continued indicator agreement
- Transitions between colors or to blank spaces show changing conditions
- Can be used alongside other technical analysis tools
3. Risk Considerations
- Signals are not predictive of future price movement
- Should be used as one of multiple analysis tools
- Effectiveness may vary across different markets and timeframes
Technical Specifications:
Core Algorithm
CMF = Σ(((C - L) - (H - C))/(H - L) × V)n / Σ(V)n
KVO = EMA(VF, 34) - EMA(VF, 55)
Where VF = V × |2(dm/cm) - 1| × sign(Δhlc3)
Signal Line = EMA(KVO, 13)
Signal Logic
Long: CMF > 0 AND KVO > Signal
Short: CMF < 0 AND KVO < Signal
Neutral: All other conditions
Parameters
CMF Length = 20
KVO Fast = 34
KVO Slow = 55
KVO Signal = 13
Volume = Regular/Actual Volume
Data Requirements
Price Data: OHLC
Volume Data: Required
Minimum History: 55 bars
Recommended Timeframe: ≥ 1H
Credits:
• Marc Chaikin - Original CMF development
• Stephen Klinger - Original KVO development
• Alex Orekhov (everget) - CMF script implementation
• nj_guy72 - KVO script implementation
Rikki's DikFat Bull/Bear OscillatorRikki's DikFat Bull/Bear Oscillator - Trend Identification & Candle Colorization
Rikki's DikFat Bull/Bear Oscillator is a powerful visual tool designed to help traders easily identify bullish and bearish trends on the chart. By analyzing market momentum using specific elements of the Commodity Channel Index (CCI) , this indicator highlights key trend reversals and continuations with color-coded candles, allowing you to quickly spot areas of opportunity.
How It Works
At the heart of this indicator is the Commodity Channel Index (CCI) , a popular momentum-based oscillator. The CCI measures the deviation of price from its average over a specified period (default is 30 bars). This helps identify whether the market is overbought, oversold, or trending.
Here's how the indicator interprets the CCI:
Bullish Trend (Green Candles) : When the market is showing signs of continued upward momentum, the candles turn green. This happens when the current CCI is less than 200 and moves from a value greater than 100 with velocity, signaling that the upward trend is still strong, and the market is likely to continue rising. Green candles indicate bullish price action , suggesting it might be a good time to look for buying opportunities or hold your current long position.
Bearish Trend (Red Candles) : Conversely, when the CCI shows signs of downward momentum (both the current and previous CCI readings are negative), the candles turn red. This signals that the market is likely in a bearish trend , with downward price action expected to continue. Red candles are a visual cue to consider selling opportunities or to stay out of the market if you're risk-averse.
How to Use It
Bullish Market : When you see green candles, the market is in a bullish phase. This suggests that prices are moving upward, and you may want to focus on buying signals . Green candles are your visual confirmation of a strong upward trend.
Bearish Market : When red candles appear, the market is in a bearish phase. This indicates that prices are moving downward, and you may want to consider selling or staying out of long positions. Red candles signal that downward pressure is likely to continue.
Why It Works
This indicator uses momentum to identify shifts in trend. By tracking the movement of the CCI , the oscillator detects whether the market is trending strongly or simply moving in a sideways range. The color changes in the candles help you quickly visualize where the market momentum is headed, giving you an edge in determining potential buy or sell opportunities.
Clear Visual Signals : The green and red candles make it easy to follow market trends, even for beginners.
Identifying Trend Continuations : The oscillator helps spot ongoing trends, whether bullish or bearish, so you can align your trades with the prevailing market direction.
Quick Decision-Making : By using color-coded candles, you can instantly know whether to consider entering a long (buy) or short (sell) position without needing to dive into complex indicators.
NOTES This indicator draws and colors it's own candles bodies, wicks and borders. In order to have the completed visualization of red and green trends, you may need to adjust your TradingView chart settings to turn off or otherwise modify chart candles.
Conclusion
With Rikki's DikFat Bull/Bear Oscillator , you have an intuitive and easy-to-read tool that helps identify bullish and bearish trends based on proven momentum indicators. Whether you’re a novice or an experienced trader, this oscillator allows you to stay in tune with the market’s direction and make more informed, confident trading decisions.
Make sure to use this indicator in conjunction with your own trading strategy and risk management plan to maximize your trading potential and limit your risks.
Cross-Asset Correlation Trend IndicatorCross-Asset Correlation Trend Indicator
This indicator uses correlations between the charted asset and ten others to calculate an overall trend prediction. Each ticker is configurable, and by analyzing the trend of each asset, the indicator predicts an average trend for the main asset on the chart. The strength of each asset's trend is weighted by its correlation to the charted asset, resulting in a single average trend signal. This can be a rather robust and effective signal, though it is often slow.
Functionality Overview :
The Cross-Asset Correlation Trend Indicator calculates the average trend of a charted asset based on the correlation and trend of up to ten other assets. Each asset is assigned a trend signal using a simple EMA crossover method (two customizable EMAs). If the shorter EMA crosses above the longer one, the asset trend is marked as positive; if it crosses below, the trend is negative. Each trend is then weighted by the correlation coefficient between that asset’s closing price and the charted asset’s closing price. The final output is an average weighted trend signal, which combines each trend with its respective correlation weight.
Input Parameters :
EMA 1 Length : Sets the period of the shorter EMA used to determine trends.
EMA 2 Length : Sets the period of the longer EMA used to determine trends.
Correlation Length : Defines the lookback period used for calculating the correlation between the charted asset and each of the other selected assets.
Asset Tickers : Each of the ten tickers is configurable, allowing you to set specific assets to analyze correlations with the charted asset.
Show Trend Table : Toggle to show or hide a table with each asset’s weighted trend. The table displays green, red, or white text for each weighted trend, indicating positive, negative, or neutral trends, respectively.
Table Position : Choose the position of the trend table on the chart.
Recommended Use :
As always, it’s essential to backtest the indicator thoroughly on your chosen asset and timeframe to ensure it aligns with your strategy. Feel free to modify the input parameters as needed—while the defaults work well for me, they may need adjustment to better suit your assets, timeframes, and trading style.
As always, I wish you the best of luck and immense fortune as you develop your systems. May this indicator help you make well-informed, profitable decisions!
Composite Oscillation Indicator Based on MACD and OthersThis indicator combines various technical analysis tools to create a composite oscillator that aims to capture multiple aspects of market behavior. Here's a breakdown of its components:
* Individual RSIs (xxoo1-xxoo15): The code calculates the RSI (Relative Strength Index) of numerous indicators, including volume-based indicators (NVI, PVI, OBV, etc.), price-based indicators (CCI, CMO, etc.), and moving averages (WMA, ALMA, etc.). It also includes the RSI of the MACD histogram (xxoo14).
* Composite RSI (xxoojht): The individual RSIs are then averaged to create a composite RSI, aiming to provide a more comprehensive view of market momentum and potential turning points.
* MACD Line RSI (xxoo14): The RSI of the MACD histogram incorporates the momentum aspect of the MACD indicator into the composite measure.
* Double EMA (co, coo): The code employs two Exponential Moving Averages (EMAs) of the composite RSI, with different lengths (9 and 18 periods).
* Difference (jo): The difference between the two EMAs (co and coo) is calculated, aiming to capture the rate of change in the composite RSI.
* Smoothed Difference (xxp): The difference (jo) is further smoothed using another EMA (9 periods) to reduce noise and enhance the signal.
* RSI of Smoothed Difference (cco): Finally, the RSI is applied to the smoothed difference (xxp) to create the core output of the indicator.
Market Applications and Trading Strategies:
* Overbought/Oversold: The indicator's central line (plotted at 50) acts as a reference for overbought/oversold conditions. Values above 50 suggest potential overbought zones, while values below 50 indicate oversold zones.
* Crossovers and Divergences: Crossovers of the cco line above or below its previous bar's value can signal potential trend changes. Divergences between the cco line and price action can also provide insights into potential trend reversals.
* Emoji Markers: The code adds emoji markers ("" for bullish and "" for bearish) based on the crossover direction of the cco line. These can provide a quick visual indication of potential trend shifts.
* Colored Fill: The area between the composite RSI line (xxoojht) and the central line (50) is filled with color to visually represent the prevailing market sentiment (green for above 50, red for below 50).
Trading Strategies (Examples):
* Long Entry: Consider a long entry (buying) signal when the cco line crosses above its previous bar's value and the composite RSI (xxoojht) is below 50, suggesting a potential reversal from oversold conditions.
* Short Entry: Conversely, consider a short entry (selling) signal when the cco line crosses below its previous bar's value and the composite RSI (xxoojht) is above 50, suggesting a potential reversal from overbought conditions.
* Confirmation: Always combine the indicator's signals with other technical analysis tools and price action confirmation for better trade validation.
Additional Notes:
* The indicator offers a complex combination of multiple indicators. Consider testing and optimizing the parameters (EMAs, RSI periods) to suit your trading style and market conditions.
* Backtesting with historical data can help assess the indicator's effectiveness and identify potential strengths and weaknesses in different market environments.
* Remember that no single indicator is perfect, and the cco indicator should be used in conjunction with other forms of analysis to make informed trading decisions.
By understanding the logic behind this composite oscillator and its potential applications, you can incorporate it into your trading strategy to potentially identify trends, gauge market sentiment, and generate trading signals.
RSI Wave Function Ultimate OscillatorEnglish Explanation of the "RSI Wave Function Ultimate Oscillator" Pine Script Code
Understanding the Code
Purpose:
This Pine Script code creates a custom indicator that combines the Relative Strength Index (RSI) with a wave function to potentially provide more nuanced insights into market dynamics.
Key Components:
* Wave Function: This is a custom calculation that introduces a sinusoidal wave component to the price data. The frequency parameter controls the speed of the oscillation, and the decay factor determines how quickly the influence of past prices diminishes.
* Smoothed Signal: The wave function is applied to the closing price to create a smoothed signal, which is essentially a price series modulated by a sine wave.
* RSI: The traditional RSI is then calculated on this smoothed signal, providing a measure of the speed and change of price movements relative to recent price changes.
Calculation Steps:
* Wave Function Calculation:
* A sinusoidal wave is generated based on the bar index and the frequency parameter.
* The wave is combined with the closing price using a weighted average, where the decay factor determines the weight given to previous values.
* RSI Calculation:
* The RSI is calculated on the smoothed signal using a standard RSI formula.
* Plotting:
* The RSI values are plotted on a chart, along with horizontal lines at 70 and 30 to indicate overbought and oversold conditions.
* The area between the RSI line and the overbought/oversold lines is filled with color to visually represent the market condition.
Interpretation and Usage
* Wave Function: The wave function introduces cyclical patterns into the price data, which can help identify potential turning points or momentum shifts.
* RSI: The RSI provides a measure of the speed and change of price movements relative to recent price changes. When applied to the smoothed signal, it can help identify overbought and oversold conditions, as well as potential divergences between price and momentum.
* Combined Indicator: The combination of the wave function and RSI aims to provide a more sensitive and potentially earlier indication of market reversals.
* Signals:
* Crossovers: Crossovers of the RSI line above or below the overbought/oversold lines can be used to generate buy or sell signals.
* Divergences: Divergences between the price and the RSI can indicate a weakening trend.
* Oscillations: The amplitude and frequency of the oscillations in the RSI can provide insights into the strength and duration of market trends.
How it Reflects Market Volatility
* Amplified Volatility: The wave function can amplify the volatility of the price data, making it easier to identify potential turning points.
* Smoothing: The decay factor helps to smooth out short-term fluctuations, allowing the indicator to focus on longer-term trends.
* Sensitivity: The combination of the wave function and RSI can make the indicator more sensitive to changes in market momentum.
In essence, this custom indicator attempts to enhance traditional RSI analysis by incorporating a cyclical component that can potentially provide earlier signals of market reversals.
Note: The effectiveness of this indicator will depend on various factors, including the specific market, time frame, and the chosen values for the frequency and decay parameters. It is recommended to conduct thorough backtesting and optimize the parameters to suit your specific trading strategy.
Enhanced Chaikin Money FlowEnhanced Chaikin Money Flow (CMF) with Normalized Distribution
The Enhanced Chaikin Money Flow (CMF) is a sophisticated version of Marc Chaikin's classic volume-weighted indicator that measures buying and selling pressure. This version incorporates statistical normalization and advanced smoothing techniques to provide more reliable signals.
Key Features
Normalized distribution (z-score) for better historical comparison
Multiple smoothing options (SMA, EMA, WMA, RMA) for noise reduction
Standard deviation bands (1σ and 2σ) to identify extreme readings
Adjustable parameters for customization
Alert system for extreme readings
Interpretation
Values represent standard deviations from the mean
Above 0: Indicates net buying pressure
Below 0: Indicates net selling pressure
Outside ±2σ bands: Suggests extreme market conditions
Crossovers of standard deviation bands may signal potential reversals
Technical Details
The indicator combines volume with price location within a bar to determine buying/selling pressure, then normalizes these values using a rolling z-score calculation. This normalization allows for better historical comparison and more reliable overbought/oversold signals.
Best used in conjunction with price action and other indicators for confirmation of potential market turns or trend strength.
Stablecoin Dominance Oscillator
The SDO is a normalized oscillator that tracks the relationship between stablecoin market capitalization (USDT + USDC + DAI) and total crypto market capitalization. It helps identify periods where stablecoins represent an unusually high or low portion of the total crypto market value.
Key components:
Main Signal (Blue Line):
Shows the normalized deviation of stablecoin dominance from its trend. Higher values indicate higher stablecoin dominance relative to history (which often corresponds with market bottoms/fear), while lower values indicate lower stablecoin dominance (often seen during strong bull markets/greed).
Dynamic Bands (Gray):
These adapt to market volatility, expanding during volatile periods and contracting during stable periods
Generally suggest temporary boundaries for the oscillator
Volatility Reference (Purple Line):
Shows the ratio between short-term and long-term volatility
Higher values indicate more volatile market conditions
Helps contextualize the reliability of the current signal
The indicator uses a 500-period lookback for baseline calculations and a 15-period Hull Moving Average for smoothing, making it responsive while filtering out noise. The final signal is normalized and volatility-adjusted to maintain consistent readings across different market regimes.
Custom AO with Open Difference**Custom AO with Open Difference Indicator**
This indicator, *Custom AO with Open Difference*, is designed to help confirm trend direction based on the relationship between the daily open price and recent 4-hour open prices. It calculates the Awesome Oscillator (AO) based on the difference between the daily open price and the average of the previous six 4-hour open prices. This approach provides insight into whether the current open price is significantly diverging from recent short-term opens, which can indicate a trend shift or continuation.
### Technical Analysis and Features
1. **Trend Confirmation**: By comparing the daily open with the mean of six previous 4-hour open prices, this indicator helps identify trends. When the current daily open is below the average of recent opens, the AO value will plot as green, signaling potential upward momentum. Conversely, if the daily open is above the recent average, the histogram will plot red, suggesting possible downward momentum.
2. **Non-Repainting**: Since it relies on completed 4-hour and daily open prices, this indicator does not repaint, ensuring that all values remain fixed after the close of each period. This non-repainting feature makes it suitable for backtesting and reliable for trend confirmation without fear of historical changes.
3. **AO Mean Calculation**: The indicator calculates the average of six previous 4-hour open prices, providing a smoothed value to reduce short-term noise. This helps in identifying meaningful deviations, making the AO values a more stable basis for trend determination than using just the latest 4-hour or daily open.
4. **Histogram for Visual Clarity**: The indicator is displayed as a histogram, making it easy to identify trend changes visually. If the AO bar turns green, it’s a signal that the 4-hour average is below the daily open, suggesting an uptrend or bullish momentum. Red bars indicate that the daily open is above the recent 4-hour averages, potentially signaling a downtrend or bearish momentum.
### Practical Application
The *Custom AO with Open Difference* is a versatile tool for confirming the open price trend without needing complex oscillators or lagging indicators. Traders can use this tool to gauge the market sentiment by observing open price variations and use it as a foundation for decision-making in both short-term and daily timeframes. Its non-repainting nature adds reliability for traders using this indicator as part of a broader trading strategy.
Inversion Fair Value Gap Oscillator | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Inversion Fair Value Gap Oscillator (IFVG Oscillator) indicator! This unique indicator identifies and tracks Inversion Fair Value Gaps (IFVGs) in price action, presenting them in an oscillator format to reveal market momentum based on IFVG strength. It highlights bullish and bearish IFVGs while enabling traders to adjust detection sensitivity and apply volume and ATR-based filters for more precise setups. For more information about the process, check the "📌 HOW DOES IT WORK" section.
Features of the new IFVG Oscillator:
Fully Customizable FVG & IFVG Detection
An Oscillator Approach To IFVGs
Divergence Markers For Potential Reversals
Alerts For Divergence Labels
Customizable Styling
📌 HOW DOES IT WORK?
Fair Value Gaps are price gaps within bars that indicate inefficiencies, often filled as the market retraces. An Inversion Fair Value Gap is created in the opposite direction once a FVG gets invalidated. The IFVG Oscillator scans historical bars to identify these gaps, then filters them based on ATR or volume. Each IFVG is marked as bullish or bearish according to the opposite direction of the original FVG that got invalidated.
An oscillator is calculated using recent IFVGs with this formula :
1. The Oscillator starts as 0.
2. When a new IFVG Appears, it contributes (IFVG Width / ATR) to the oscillator of the corresponding type.
3. Each confirmed bar, the oscillator is recalculated as OSC = OSC * (1 - Decay Coefficient)
The oscillator aggregates and decays past IFVGs, allowing recent IFVG activity to dominate the signal. This approach emphasizes current market momentum, with oscillations moving bullish or bearish based on IFVG intensity. Divergences are marked where IFVG oscillations suggest potential reversals. Bullish Divergence conditions are as follows :
1. The current candlestick low must be the lowest of last 25 bars.
2. Net Oscillator (Shown in gray line by default) must be > 0.
3. The current Bullish IFVG Oscillator value should be no more than 0.1 below the highest value from the last 25 bars.
Traders can use divergence signals to get an idea of potential reversals, and use the Net IFVG Oscillator as a trend following marker.
🚩 UNIQUENESS
The Inversion Fair Value Gap Oscillator stands out by converting IFVG activity into an oscillator format, providing a momentum-based visualization of IFVGs that reveals market sentiment dynamically. Unlike traditional indicators that statically mark IFVG zones, the oscillator decays older IFVGs over time, showing only the most recent, relevant activity. This approach allows for real-time insight into market conditions and potential reversals based on oscillating IFVG strength, making it both intuitive and powerful for momentum trading.
Another unique feature is the combination of customizable ATR and volume filters, letting traders adapt the indicator to match their strategy and market type. You can also set-up alerts for bullish & bearish divergences.
⚙️ SETTINGS
1. General Configuration
Decay Coefficient -> The decay coefficient for oscillators. Increasing this setting will result in oscillators giving the weight to recent IFVGs, while decreasing it will distribute the weight equally to the past and recent IFVGs.
2. Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Inversion Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for IFVG Zone Invalidation.
4. Style
Divergence Labels On -> You can switch divergence labels to show up on the chart or the oscillator plot.
Probabilistic Trend Oscillator** MACD PLOTS ARE NOT PART OF THE INDICATOR IT IS FOR COMPARSION**
The "Probabilistic Trend Oscillator" is a technical indicator designed to measure trend strength and direction by analyzing price behavior relative to a moving average over both long-term and short-term periods. This indicator incorporates several innovative features, including probabilistic trend detection, enhanced strength scaling, and percentile-based thresholds for identifying potential trend reversals.
Key Components
Inputs:
The indicator allows users to customize several key parameters:
EMA Length defines the period for the Exponential Moving Average (EMA), which serves as a baseline to classify trend direction.
Long and Short Term Lengths provide customizable periods for analyzing trend strength over different timeframes.
Signal Line Length is used to smooth the trend strength data, helping users spot more reliable trend signals.
Extreme Value Lookback Length controls how far back to look when calculating percentile thresholds, which are used to identify overbought and oversold zones.
Trend Classification:
The indicator categorizes price behavior into four conditions:
Green: Price closes above the open and is also above the EMA, suggesting a strong upward trend.
Red: Price closes below the open but is above the EMA, indicating weaker upward pressure.
Green1: Price closes above the open but remains below the EMA, representing weak upward movement.
Red1: Price closes below the open and the EMA, signaling a strong downward trend.
Trend Strength Calculation:
The script calculates long-term and short-term trend values based on the frequency of these trend conditions, normalizing them to create probabilistic scores.
It then measures the difference between the short-term and long-term trend values, creating a metric that reflects the intensity of the current trend. This comparison provides insight into whether the trend is strengthening or weakening.
Enhanced Trend Strength:
To emphasize significant movements, the trend strength metric is scaled by the average absolute price change (distance between close and open prices). This creates an "enhanced trend strength" value that highlights periods with high momentum.
Users can toggle between two variations of trend strength:
Absolute Trend Strength is a straightforward measure of the trend's force.
Relative Trend Strength accounts for deviations between short term and long term values, focusing on how current price action differs from a long term behavior.
Percentile-Based Thresholds:
The indicator calculates percentile thresholds over the specified lookback period to mark extreme values:
The 97th and 3rd percentiles act as overbought and oversold zones, respectively, indicating potential reversal points.
Intermediate levels (75th and 25th percentiles) are added to give additional context for overbought or oversold conditions, creating a probabilistic range.
Visualization:
The selected trend strength value (either absolute or relative) is plotted in orange.
Overbought (green) and oversold (red) percentiles are marked with dashed lines and filled in blue, highlighting potential reversal zones.
The signal line—a smoothed EMA of the trend strength—is plotted in white, helping users to confirm trend changes.
A gray horizontal line at zero acts as a baseline, further clarifying the strength of upward vs. downward trends.
Summary
This indicator provides a flexible, probabilistic approach to trend detection, allowing users to monitor trend strength with customizable thresholds and lookback periods. By combining percentile-based thresholds with enhanced trend strength scaling, it offers insights into market reversals and momentum shifts, making it a valuable tool for both trend-following and counter-trend trading strategies.
Average Yield InversionDescription:
This script calculates and visualizes the average yield curve spread to identify whether the yield curve is inverted or normal. It takes into account short-term yields (1M, 3M, 6M, 2Y) and long-term yields (10Y, 30Y).
Positive values: The curve is normal, indicating long-term yields are higher than short-term yields. This often reflects economic growth expectations.
Negative values: The curve is inverted, meaning short-term yields are higher than long-term yields, a potential signal of economic slowdown or recession.
Key Features:
Calculates the average spread between long-term and short-term yields.
Displays a clear graph with a zero-line reference for quick interpretation.
Useful for tracking macroeconomic trends and potential market turning points.
This tool is perfect for investors, analysts, and economists who need to monitor yield curve dynamics at a glance.
On Balance Volume Oscillator of Trading Volume TrendOn Balance Volume Oscillator of Trading Volume Trend
Introduction
This indicator, the "On Balance Volume Oscillator of Trading Volume Trend," is a technical analysis tool designed to provide insights into market momentum and potential trend reversals by combining the On Balance Volume (OBV) and Relative Strength Index (RSI) indicators.
Calculation and Methodology
* OBV Calculation: The indicator first calculates the On Balance Volume, which is a cumulative total of the volume of up days minus the volume of down days. This provides a running tally of buying and selling pressure.
* RSI of OBV: The RSI is then applied to the OBV values to smooth the data and identify overbought or oversold conditions.
* Exponential Moving Averages (EMAs): Two EMAs are calculated on the RSI of OBV. A shorter-term EMA (9-period in this case) and a longer-term EMA (100-period) are used to generate signals.
Interpretation and Usage
* EMA Crossovers: When the shorter-term EMA crosses above the longer-term EMA, it suggests increasing bullish momentum. Conversely, a downward crossover indicates weakening bullish momentum or increasing bearish pressure.
* RSI Divergences: Divergences between the price and the indicator can signal potential trend reversals. For example, if the price is making new highs but the indicator is failing to do so, it could be a bearish divergence.
* Overbought/Oversold Conditions: When the RSI of OBV is above 70, it suggests the market may be overbought and a potential correction could be imminent. Conversely, when it is below 30, it suggests the market may be oversold.
Visual Representation
The indicator is plotted on a chart with multiple lines and filled areas:
* Two EMAs: The shorter-term EMA and longer-term EMA are plotted to show the trend of the OBV.
* Filled Areas: The area between the two EMAs is filled with a color to indicate the strength of the trend. The color changes based on whether the shorter-term EMA is above or below the longer-term EMA.
* RSI Bands: Horizontal lines at 30 and 70 mark the overbought and oversold levels for the RSI of OBV.
Summary
The On Balance Volume Oscillator of Trading Volume Trend provides a comprehensive view of market momentum and can be a valuable tool for traders. By combining the OBV and RSI, this indicator helps identify potential trend reversals, overbought and oversold conditions, and the strength of the current trend.
Note: This indicator should be used in conjunction with other technical analysis tools and fundamental analysis to make informed trading decisions.
