Uptrick: MultiTrend Squeeze System**Uptrick: MultiTrend Squeeze System Indicator: The Ultimate Trading Tool for Precision and Versatility 📈🔥**
### Introduction
The MultiTrend Squeeze System is a powerful, multi-faceted trading indicator designed to provide traders with precise buy and sell signals by combining the strengths of multiple technical analysis tools. This script isn't just an indicator; it's a comprehensive trading system that merges the power of SuperTrend, RSI, Volume Filtering, and Squeeze Momentum to give you an unparalleled edge in the market. Whether you're a day trader looking for short-term opportunities or a swing trader aiming to catch longer-term trends, this indicator is tailored to meet your needs.
### Key Features and Unique Aspects
1. **SuperTrend with Dynamic Adjustments 📊**
- **Adaptive SuperTrend Calculation:** The SuperTrend is a popular trend-following indicator that adjusts dynamically based on market conditions. It uses the Average True Range (ATR) to calculate upper and lower bands, which shift according to market volatility. This script takes it further by combining it with the RSI and Volume filtering to provide more accurate signals.
- **Direction Sensitivity:** The SuperTrend here is not static. It adjusts based on the direction of the previous SuperTrend value, ensuring that the indicator remains relevant even in choppy markets.
2. **RSI Integration for Overbought/Oversold Conditions 💹**
- **RSI Calculation:** The Relative Strength Index (RSI) is incorporated to identify overbought and oversold conditions, adding an extra layer of precision. This helps in filtering out false signals and ensuring that trades are taken only in optimal conditions.
- **Customizable RSI Settings:** The RSI settings are fully customizable, allowing traders to adjust the RSI length and the overbought/oversold levels according to their trading style and market.
3. **Volume Filtering for Enhanced Signal Confirmation 📉**
- **Volume Multiplier:** This unique feature integrates volume analysis, ensuring that signals are only generated when there is sufficient market participation. The Volume Multiplier can be adjusted to filter out weak signals that occur during low-volume periods.
- **Optional Volume Filtering:** Traders have the flexibility to turn the volume filter on or off, depending on their preference or market conditions. This makes the indicator versatile, allowing it to be used across different asset classes and market conditions.
4. **Squeeze Momentum Indicator (SMI) for Market Pressure Analysis 💥**
- **Squeeze Detection:** The Squeeze Momentum Indicator detects periods of market compression and expansion. This script goes beyond the traditional Bollinger Bands and Keltner Channels by incorporating true range calculations, offering a more nuanced view of market momentum.
- **Customizable Squeeze Settings:** The lengths and multipliers for both Bollinger Bands and Keltner Channels are customizable, giving traders the flexibility to fine-tune the indicator based on their specific needs.
5. **Visual and Aesthetic Customization 🎨**
- **Color-Coding for Clarity:** The indicator is color-coded to make it easy to interpret signals. Bullish trends are marked with a vibrant green color, while bearish trends are highlighted in red. Neutral or unconfirmed signals are displayed in softer tones to reduce noise.
- **Histogram Visualization:** The primary trend direction and strength are displayed as a histogram, making it easy to visualize the market's momentum at a glance. The height and color of the bars provide immediate feedback on the strength and direction of the trend.
6. **Alerts for Real-Time Trading 🚨**
- **Custom Alerts:** The script is equipped with custom alerts that notify traders when a buy or sell signal is generated. These alerts can be configured to send notifications through various channels, including email, SMS, or directly to the trading platform.
- **Immediate Reaction:** The alerts are triggered based on the confluence of SuperTrend, RSI, and Volume signals, ensuring that traders are notified only when the most robust trading opportunities arise.
7. **Comprehensive Input Customization ⚙️**
- **SuperTrend Settings:** Adjust the ATR length and factor to control the sensitivity of the SuperTrend. This allows you to adapt the indicator to different market conditions, whether you're trading a volatile cryptocurrency or a more stable stock.
- **RSI Settings:** Customize the RSI length and thresholds for overbought and oversold conditions, enabling you to tailor the indicator to your specific trading strategy.
- **Volume Settings:** The Volume Multiplier and the option to toggle the volume filter provide an additional layer of customization, allowing you to fine-tune the indicator based on market liquidity and participation.
- **Squeeze Momentum Settings:** The lengths and multipliers for Bollinger Bands and Keltner Channels can be adjusted to detect different levels of market compression, providing flexibility for both short-term and long-term traders.
### How It Works: A Deep Dive Into the Mechanics 🛠️
1. **SuperTrend Calculation:**
- The SuperTrend is calculated using the ATR, which measures market volatility. The indicator creates upper and lower bands around the price, adjusting these bands based on the current level of market volatility. The direction of the trend is determined by the position of the price relative to these bands.
- The script enhances the standard SuperTrend by ensuring that the bands do not flip-flop too quickly, reducing the chances of false signals in a choppy market. The direction is confirmed by checking the position of the close relative to the previous band, making the trend detection more reliable.
2. **RSI Integration:**
- The RSI is calculated over a customizable length and compared to user-defined overbought and oversold levels. When the RSI crosses below the oversold level, and the SuperTrend indicates a bullish trend, a buy signal is generated. Conversely, when the RSI crosses above the overbought level, and the SuperTrend indicates a bearish trend, a sell signal is triggered.
- The combination of RSI with SuperTrend ensures that trades are only taken when there is a strong confluence of signals, reducing the chances of entering trades during weak or indecisive market phases.
3. **Volume Filtering:**
- The script calculates the average volume over a 20-period simple moving average. The volume filter ensures that buy and sell signals are only valid when the current volume exceeds a multiple of this average, which can be adjusted by the user. This feature helps filter out weak signals that might occur during low-volume periods, such as just before a major news event or during after-hours trading.
- The volume filter is particularly useful in markets where volume spikes are common, as it ensures that signals are only generated when there is significant market interest in the direction of the trend.
4. **Squeeze Momentum:**
- The Squeeze Momentum Indicator (SMI) adds a layer of market pressure analysis. The script calculates Bollinger Bands and Keltner Channels, detecting when the market is in a "squeeze" — a period of low volatility that typically precedes a significant price move.
- When the Bollinger Bands are inside the Keltner Channels, the market is in a squeeze (compression phase). This is often a precursor to a breakout or breakdown. The script colors the histogram bars black during this phase, indicating a potential for a strong move. Once the squeeze is released, the bars are colored according to the direction of the SuperTrend, signaling a potential entry point.
5. **Integration and Signal Generation:**
- The script brings together the SuperTrend, RSI, Volume, and Squeeze Momentum to generate highly accurate buy and sell signals. A buy signal is triggered when the SuperTrend is bullish, the RSI indicates oversold conditions, and the volume filter confirms strong market participation. Similarly, a sell signal is generated when the SuperTrend is bearish, the RSI indicates overbought conditions, and the volume filter is met.
- The combination of these elements ensures that the signals are robust, reducing the likelihood of entering trades during weak or indecisive market conditions.
### Practical Applications: How to Use the MultiTrend Squeeze System 📅
1. **Day Trading:**
- For day traders, this indicator provides quick and reliable signals that can be used to enter and exit trades multiple times within a day. The volume filter ensures that you are trading during the most liquid times of the day, increasing the chances of successful trades. The Squeeze Momentum aspect helps you catch breakouts or breakdowns, which are common in intraday trading.
2. **Swing Trading:**
- Swing traders can use the MultiTrend Squeeze System to identify longer-term trends. By adjusting the ATR length and factor, you can make the SuperTrend more sensitive to catch longer-term moves. The RSI and Squeeze Momentum aspects help you time your entries and exits, ensuring that you get in early on a trend and exit before it reverses.
3. **Scalping:**
- For scalpers, the quick signals provided by this system, especially in combination with the volume filter, make it easier to take small profits repeatedly. The histogram bars give you a clear visual cue of the market's momentum, making it easier to scalp effectively.
4. **Position Trading:**
- Even position traders can benefit from this indicator by using it to confirm long-term trends. By adjusting the settings to less sensitive parameters, you can ensure that you are only entering trades when a strong trend is confirmed. The Squeeze Momentum indicator will help you stay in the trade during periods of consolidation, waiting for the next big move.
### Conclusion: Why the MultiTrend Squeeze System is a Game-Changer 🚀
The MultiTrend Squeeze System is not just another trading indicator; it’s a comprehensive trading strategy encapsulated within a single script. By combining the power
of SuperTrend, RSI, Volume Filtering, and Squeeze Momentum, this indicator provides a robust and versatile tool that can be adapted to various trading styles and market conditions.
**Why is it Unique?**
- **Multi-Dimensional Analysis:** Unlike many other indicators that rely on a single data point or calculation, this script incorporates multiple layers of analysis, ensuring that signals are based on a confluence of factors, which increases their reliability.
- **Customizability:** The vast range of input settings allows traders to tailor the indicator to their specific needs, whether they are trading forex, stocks, cryptocurrencies, or commodities.
- **Visual Clarity:** The color-coded bars, labels, and signals make it easy to interpret the market conditions at a glance, reducing the time needed to make trading decisions.
Whether you are a novice trader or an experienced market participant, the MultiTrend Squeeze System offers a powerful toolset to enhance your trading strategy, reduce risk, and maximize your potential returns. With its combination of trend analysis, momentum detection, and volume filtering, this indicator is designed to help you trade with confidence and precision in any market condition.
M-oscillator
Uptrick: Adaptive Cloud Oscillator (ACO)### **Uptrick: Adaptive Cloud Oscillator (ACO)**
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### Introduction
The **Uptrick: Adaptive Cloud Oscillator (ACO)** is an advanced technical analysis tool designed to empower traders with precise trend detection and visual clarity in dynamic market conditions. By seamlessly integrating adaptive trend analysis, volatility filtering, and cloud-based support and resistance levels, the ACO provides traders with the actionable insights needed to navigate complex markets with confidence.
This indicator is highly customizable, allowing traders to tailor its functionality to their specific trading style and preferences. Whether you're a trend follower, swing trader, or looking to identify key support and resistance zones, the **Uptrick: ACO** is an indispensable tool that can adapt to a variety of market conditions.
### Indicator Purpose and Functionality
#### 1. **Adaptive Trend Detection**
At the heart of the **Uptrick: ACO** lies its adaptive trend detection algorithm. Unlike traditional moving averages that may lag in volatile markets or react too slowly to rapid changes, this adaptive method uses a smoothing technique that dynamically adjusts based on market conditions. By doing so, it provides a more responsive trend line that captures meaningful price movements while filtering out minor fluctuations.
- **How It Works:** The trend line is calculated using an adaptive smoothing factor, making it responsive to recent price actions while maintaining a level of stability that prevents whipsaw signals. This ensures that traders are always in tune with the prevailing market trend, whether bullish, bearish, or neutral.
#### 2. **Dynamic Cloud Support and Resistance**
The **Uptrick: ACO** features a dynamic "cloud" that serves as a key element in its analysis. This cloud is constructed using a moving average combined with the Average True Range (ATR), which adjusts based on the market’s volatility. The cloud provides dynamic support and resistance levels, essential for identifying potential reversal zones or confirming trend continuations.
- **Cloud Displacement:** The cloud is displaced forward by a user-defined number of bars, offering a predictive view of where future support and resistance levels may lie. This forward-looking feature helps traders anticipate potential price movements, making the ACO a powerful tool for planning trades ahead of time.
#### 3. **Versatile Visualization Options**
The **Uptrick: ACO** is designed with flexibility in mind, allowing users to choose between two distinct display modes:
- **Buy/Sell Signals:** In this mode, the indicator generates clear buy and sell signals based on crossovers of the trend line and the cloud boundaries. These signals are visualized directly on the chart with up and down labels, making it easy for traders to identify potential entry and exit points.
- **Cloud Fill Only:** For traders who prefer a cleaner chart, this mode removes the buy/sell signals and instead focuses on coloring the area between the upper and lower cloud boundaries. The color of the cloud fill changes based on the trend direction, providing a visual representation of the market's momentum.
- **Optional EMA Line:** An Exponential Moving Average (EMA) line can be optionally displayed on the chart. The EMA serves as an additional trend filter, helping traders further refine their entries and exits. The length, color, and thickness of the EMA are fully customizable to fit individual trading strategies.
### Practical Applications
#### 1. **Trend Following and Reversals**
The **Uptrick: ACO** excels in identifying and following trends. By analyzing the relationship between the trend line and the cloud, traders can determine the strength and direction of the current market trend. The cloud’s dynamic nature means it can adapt to both trending and ranging markets, providing consistent insights regardless of market conditions.
- **Example:** If the trend line crosses above the upper cloud boundary, it signals a potential buy opportunity. Conversely, a cross below the lower cloud boundary suggests a sell opportunity. Traders can use these signals to enter trades aligned with the prevailing trend.
#### 2. **Support and Resistance Identification**
The forward-displaced cloud acts as a predictive support and resistance zone. Traders can use these zones to set stop-loss levels, determine take-profit targets, or identify potential reversal points.
- **Example:** When the price approaches the upper cloud boundary from below, the boundary may act as resistance, indicating a potential reversal or pullback. If the price breaks through this level, it may signal a continuation of the bullish trend.
#### 3. **Volatility-Based Analysis**
By incorporating ATR into its calculations, the **Uptrick: ACO** provides a built-in mechanism to adapt to varying levels of market volatility. This makes it particularly useful in markets prone to sudden spikes in volatility, such as during major economic announcements or geopolitical events.
- **Example:** In a high-volatility environment, the cloud widens, allowing for greater price fluctuations within the trend. Traders can use this information to adjust their risk management strategies, such as widening stop-loss levels during volatile periods to avoid being stopped out prematurely.
### Customization and Flexibility
The **Uptrick: ACO** is designed to be highly customizable, ensuring it can meet the needs of traders with different strategies and preferences. Key customization options include:
- **Cloud and Trend Settings:** Traders can adjust the length of the cloud, the smoothing factor for the trend line, and the displacement of the cloud to optimize the indicator for their specific market and timeframe.
- **Display Modes:** With a simple dropdown selection, traders can choose whether to display buy/sell signals or focus solely on the cloud fill, providing flexibility in how the indicator is visualized.
- **Color and Style Customization:** The colors for bullish and bearish trends, cloud fill, buy/sell signals, and the EMA line can all be customized, allowing traders to integrate the **Uptrick: ACO** seamlessly into their existing chart setups.
### Conclusion
The **Uptrick: Adaptive Cloud Oscillator (ACO)** is more than just a trend indicator—it's a comprehensive market analysis tool that provides traders with a deep understanding of market dynamics. Its combination of adaptive trend analysis, dynamic support and resistance levels, and versatile visualization options makes it an essential tool for traders looking to gain an edge in any market environment.
Whether you're a seasoned trader or just starting, the **Uptrick: ACO** offers the insights and flexibility needed to make informed trading decisions. By helping you identify trends, anticipate reversals, and adapt to changing market conditions, the **Uptrick: ACO** can significantly enhance your trading strategy and improve your overall trading performance.
BTC 5 min SHBHilalimSB A Wedding Gift 🌙
What is HilalimSB🌙?
First of all, as mentioned in the title, HilalimSB is a wedding gift.
HilalimSB - Revealing the Secrets of the Trend
HilalimSB is a powerful indicator designed to help investors analyze market trends and optimize trading strategies. Designed to uncover the secrets at the heart of the trend, HilalimSB stands out with its unique features and impressive algorithm.
Hilalim Algorithm and Fixed ATR Value:
HilalimSB is equipped with a special algorithm called "Hilalim" to detect market trends. This algorithm can delve into the depths of price movements to determine the direction of the trend and provide users with the ability to predict future price movements. Additionally, HilalimSB uses its own fixed Average True Range (ATR) value. ATR is an indicator that measures price movement volatility and is often used to determine the strength of a trend. The fixed ATR value of HilalimSB has been tested over long periods and its reliability has been proven. This allows users to interpret the signals provided by the indicator more reliably.
ATR Calculation Steps
1.True Range Calculation:
+ The True Range (TR) is the greatest of the following three values:
1. Current high minus current low
2. Current high minus previous close (absolute value)
3. Current low minus previous close (absolute value)
2.Average True Range (ATR) Calculation:
-The initial ATR value is calculated as the average of the TR values over a specified period
(typically 14 periods).
-For subsequent periods, the ATR is calculated using the following formula:
ATRt=(ATRt−1×(n−1)+TRt)/n
Where:
+ ATRt is the ATR for the current period,
+ ATRt−1 is the ATR for the previous period,
+ TRt is the True Range for the current period,
+ n is the number of periods.
Pine Script to Calculate ATR with User-Defined Length and Multiplier
Here is the Pine Script code for calculating the ATR with user-defined X length and Y multiplier:
//@version=5
indicator("Custom ATR", overlay=false)
// User-defined inputs
X = input.int(14, minval=1, title="ATR Period (X)")
Y = input.float(1.0, title="ATR Multiplier (Y)")
// True Range calculation
TR1 = high - low
TR2 = math.abs(high - close )
TR3 = math.abs(low - close )
TR = math.max(TR1, math.max(TR2, TR3))
// ATR calculation
ATR = ta.rma(TR, X)
// Apply multiplier
customATR = ATR * Y
// Plot the ATR value
plot(customATR, title="Custom ATR", color=color.blue, linewidth=2)
This code can be added as a new Pine Script indicator in TradingView, allowing users to calculate and display the ATR on the chart according to their specified parameters.
HilalimSB's Distinction from Other ATR Indicators
HilalimSB emerges with its unique Average True Range (ATR) value, presenting itself to users. Equipped with a proprietary ATR algorithm, this indicator is released in a non-editable form for users. After meticulous testing across various instruments with predetermined period and multiplier values, it is made available for use.
ATR is acknowledged as a critical calculation tool in the financial sector. The ATR calculation process of HilalimSB is conducted as a result of various research efforts and concrete data-based computations. Therefore, the HilalimSB indicator is published with its proprietary ATR values, unavailable for modification.
The ATR period and multiplier values provided by HilalimSB constitute the fundamental logic of a trading strategy. This unique feature aids investors in making informed decisions.
Visual Aesthetics and Clear Charts:
HilalimSB provides a user-friendly interface with clear and impressive graphics. Trend changes are highlighted with vibrant colors and are visually easy to understand. You can choose colors based on eye comfort, allowing you to personalize your trading screen for a more enjoyable experience. While offering a flexible approach tailored to users' needs, HilalimSB also promises an aesthetic and professional experience.
Strong Signals and Buy/Sell Indicators:
After completing test operations, HilalimSB produces data at various time intervals. However, we would like to emphasize to users that based on our studies, it provides the best signals in 1-hour chart data. HilalimSB produces strong signals to identify trend reversals. Buy or sell points are clearly indicated, allowing users to develop and implement trading strategies based on these signals.
For example, let's imagine you wanted to open a position on BTC on 2023.11.02. You are aware that you need to calculate which of the buying or selling transactions would be more profitable. You need support from various indicators to open a position. Based on the analysis and calculations it has made from the data it contains, HilalimSB would have detected that the graph is more suitable for a selling position, and by producing a sell signal at the most ideal selling point at 08:00 on 2023.11.02 (UTC+3 Istanbul), it would have informed you of the direction the graph would follow, allowing you to benefit positively from a 2.56% decline.
Technology and Innovation:
HilalimSB aims to enhance the trading experience using the latest technology. With its innovative approach, it enables users to discover market opportunities and support their decisions. Thus, investors can make more informed and successful trades. Real-Time Data Analysis: HilalimSB analyzes market data in real-time and identifies updated trends instantly. This allows users to make more informed trading decisions by staying informed of the latest market developments. Continuous Update and Improvement: HilalimSB is constantly updated and improved. New features are added and existing ones are enhanced based on user feedback and market changes. Thus, HilalimSB always aims to provide the latest technology and the best user experience.
Social Order and Intrinsic Motivation:
Negative trends such as widespread illegal gambling and uncontrolled risk-taking can have adverse financial effects on society. The primary goal of HilalimSB is to counteract these negative trends by guiding and encouraging users with data-driven analysis and calculable investment systems. This allows investors to trade more consciously and safely.
What is BTC 5 min ☆SHB Strategy🌙?
BTC 5 min ☆SHB Strategy is a strategy supported by the HilalimSB algorithm created by the creator of HilalimSB. It automatically opens trades based on the data it receives, maintaining trades with its uniquely defined take profit and stop loss levels, and automatically closes trades when necessary. It stands out in the TradingView world with its unique take profit and stop loss markings. BTC 5 min ☆SHB Strategy is close to users' initiatives and is a strategy suitable for 5-minute trades and scalp operations developed on BTC.
What does the BTC 5 min ☆SHB Strategy target?
The primary goal of BTC 5 min ☆SHB Strategy is to close trades made by traders in short timeframes as profitably as possible and to determine the most effective trading points in low time periods, considering the commission rates of various brokerage firms. BTC 5 min ☆SHB Strategy is one of the rare profitable strategies released in short timeframes, with its useful interface, in addition to existing strategies in the markets. After extensive backtesting over a long period and achieving above-average success, BTC 5 min ☆SHB Strategy was decided to be released. Following the completion of test procedures under market conditions, it was presented to users with the unique visual effects of ☆SB.
BTC 5 min ☆SHB Strategy and Heikin Ashi
BTC 5 min ☆SHB Strategy produces data in Heikin-Ashi chart types, but since Heikin-Ashi chart types have their own calculation method, BTC 5 min ☆SHB Strategy has been published in a way that cannot produce data in this chart type due to BTC 5 min ☆SHB Strategy's ideology of appealing to all types of users, and any confusion that may arise is prevented in this way. Heikin-Ashi chart types, especially in short time intervals, carry significant risks considering the unique calculation methods involved. Thus, the possibility of being misled by the coder and causing financial losses has been completely eliminated. After the necessary conditions determined by the creator of BTC 5 min ☆SHB are met, BTC 5 min ☆SHB Heikin-Ashi will be shared exclusively with invited users only, upon request, to users who request an invitation.
Key Features:
+HilalimSHB Algorithm: This algorithm uses a dynamic ATR-based trend-following mechanism to identify the current market trend. The strategy detects trend reversals and takes positions accordingly.
+Heikin Ashi Compatibility: The strategy is optimized to work only with standard candlestick charts and automatically deactivates when Heikin Ashi charts are in use, preventing false signals.
+Advanced Chart Enhancements: The strategy offers clear graphical markers for buy/sell signals. Candlesticks are automatically colored based on trend direction, making market trends easier to follow.
Strategy Parameters:
+Take Profit (%): Defines the target price level for closing a position and automates profit-taking. The fixed value is set at 2%.
+Stop Loss (%): Specifies the stop-loss level to limit losses. The fixed value is set at 3%.
The shared image is a 5-minute chart of BTCUSDC.P with a fixed take profit value of 2% and a fixed stop loss value of 3%. The trades are opened with a commission rate of 0.063% set for the USDT trading pair on Binance.🌙
Bitcoin Power Law Oscillator [InvestorUnknown]The Bitcoin Power Law Oscillator is a specialized tool designed for long-term mean-reversion analysis of Bitcoin's price relative to a theoretical midline derived from the Bitcoin Power Law model (made by capriole_charles). This oscillator helps investors identify whether Bitcoin is currently overbought, oversold, or near its fair value according to this mathematical model.
Key Features:
Power Law Model Integration: The oscillator is based on the midline of the Bitcoin Power Law, which is calculated using regression coefficients (A and B) applied to the logarithm of the number of days since Bitcoin’s inception. This midline represents a theoretical fair value for Bitcoin over time.
Midline Distance Calculation: The distance between Bitcoin’s current price and the Power Law midline is computed as a percentage, indicating how far above or below the price is from this theoretical value.
float a = input.float (-16.98212206, 'Regression Coef. A', group = "Power Law Settings")
float b = input.float (5.83430649, 'Regression Coef. B', group = "Power Law Settings")
normalization_start_date = timestamp(2011,1,1)
calculation_start_date = time == timestamp(2010, 7, 19, 0, 0) // First BLX Bitcoin Date
int days_since = request.security('BNC:BLX', 'D', ta.barssince(calculation_start_date))
bar() =>
= request.security('BNC:BLX', 'D', bar())
int offset = 564 // days between 2009/1/1 and "calculation_start_date"
int days = days_since + offset
float e = a + b * math.log10(days)
float y = math.pow(10, e)
float midline_distance = math.round((y / btc_close - 1.0) * 100)
Oscillator Normalization: The raw distance is converted into a normalized oscillator, which fluctuates between -1 and 1. This normalization adjusts the oscillator to account for historical extremes, making it easier to compare current conditions with past market behavior.
float oscillator = -midline_distance
var float min = na
var float max = na
if (oscillator > max or na(max)) and time >= normalization_start_date
max := oscillator
if (min > oscillator or na(min)) and time >= normalization_start_date
min := oscillator
rescale(float value, float min, float max) =>
(2 * (value - min) / (max - min)) - 1
normalized_oscillator = rescale(oscillator, min, max)
Overbought/Oversold Identification: The oscillator provides a clear visual representation, where values near 1 suggest Bitcoin is overbought, and values near -1 indicate it is oversold. This can help identify potential reversal points or areas of significant market imbalance.
Optional Moving Average: Users can overlay a moving average (either SMA or EMA) on the oscillator to smooth out short-term fluctuations and focus on longer-term trends. This is particularly useful for confirming trend reversals or persistent overbought/oversold conditions.
This indicator is particularly useful for long-term Bitcoin investors who wish to gauge the market's mean-reversion tendencies based on a well-established theoretical model. By focusing on the Power Law’s midline, users can gain insights into whether Bitcoin’s current price deviates significantly from what historical trends would suggest as a fair value.
Trading Channel Index (TCI)Overview:
The Trading Channel Index (TCI) is a technical analysis tool designed to identify cyclical trends in financial markets by smoothing out price movements and reducing volatility compared to traditional oscillators, like the Commodity Channel Index (CCI). The TCI helps traders pinpoint overbought and oversold conditions, as well as gauge the strength and direction of market trends.
Calculation:
The TCI is calculated through a multi-step process:
Typical Price (Xt): The typical price is computed as the average of the high, low, and close prices for each bar:
Xt = (High + Low + Close) / 3
Exponential Average (Et): This step smooths the typical price over a specified number of bars (TCI Channel Length) using an exponential moving average (EMA). The smoothing factor alpha is derived from the channel length:
Et = alpha * Xt + (1 - alpha) * Et
Where alpha = 2 / (TCI Channel Length + 1).
Average Deviation (Dt): The average deviation measures how much the typical price deviates from the exponential average over time. This is also smoothed using the EMA:
Dt = alpha * abs(Et - Xt) + (1 - alpha) * Dt
Channel Index (CI): The Channel Index is calculated by normalizing the difference between the typical price and the exponential average by the average deviation:
CI = (Xt - Et) / (0.15 * Dt)
Trading Channel Index (TCI): Finally, the TCI is generated by applying additional smoothing to the Channel Index using another EMA over the specified number of bars (TCI Average Length). The smoothing factor beta is derived from the average length:
TCI = beta * CI + (1 - beta) * TCI
Indicator Variables:
TCI Channel Length:
- Description: This variable sets the number of historical bars used to calculate the Channel Index (CI). A shorter length results in a more sensitive CI that responds quickly to price changes, while a longer length produces a smoother and less volatile CI.
- Default Value: 21
TCI Average Length:
-Description: This variable determines the number of bars over which the Channel Index (CI) is smoothed to produce the TCI. A shorter length makes the TCI more responsive to recent price changes, whereas a longer length further smooths the TCI, reducing its sensitivity to short-term fluctuations.
-Default Value: 10
Usage:
Overbought and Oversold Conditions: The TCI often uses levels such as +100 and -100 to identify potential reversal points. When the TCI crosses above +100, it might indicate an overbought condition, signaling a potential sell. Conversely, when it crosses below -100, it could indicate an oversold condition, suggesting a potential buy.
Trend Identification: Sustained values above 0 typically indicate a bullish trend, while values below 0 suggest a bearish trend. The TCI's smoothness helps traders stay in trends longer by reducing the impact of short-term market noise.
Conclusion:
The Trading Channel Index (TCI) is a versatile and powerful tool for traders who wish to capture cyclical price movements with a reduced level of noise. By adjusting the TCI Channel Length and TCI Average Length, traders can tailor the indicator to suit different market conditions, making it applicable across various timeframes and asset classes.
Uptrick: Adaptive Volatility Oscillator### **Overview and Purpose**
The **"Uptrick: Adaptive Volatility Oscillator"** is a sophisticated technical analysis tool designed to identify and visualize volatility trends within the financial markets. This indicator is particularly useful for traders and analysts who seek to understand the market's underlying momentum by analyzing the relationship between volume and price changes. It adapts to changing market conditions, providing a dynamic way to gauge overbought and oversold levels, identify potential reversals, and track the strength of market movements.
### **Core Components**
1. **Volume Oscillator Calculation**:
- **Purpose**: The volume oscillator is at the heart of this indicator. It measures the directional momentum of volume by comparing current volume levels with those of previous periods.
- **How It Works**: The oscillator calculates the difference between current and past volume levels, determining whether the market is experiencing buying or selling pressure. This is normalized to ensure the oscillator's values are comparable across different time frames and market conditions.
- **Normalized Oscillator**: To make the oscillator's readings more meaningful, the values are normalized by adjusting for standard deviation over a long period (150 bars). This step helps in smoothing out the noise and highlights significant shifts in market activity.
2. **Adaptive Filter Calculation**:
- **Purpose**: The adaptive filter refines the raw oscillator data to create a smoother signal that is responsive to market changes without being overly reactive to minor fluctuations.
- **Adaptive Coefficient**: This coefficient, set by the user, controls the sensitivity of the filter. A higher coefficient makes the filter more sensitive to recent changes, while a lower coefficient gives more weight to past data.
- **How It Works**: The filter applies a weighted average to the oscillator values, where recent data is given more importance. This creates a dynamic signal that adapts to the market's changing conditions, highlighting significant trends and potential turning points.
3. **Signal Line**:
- **Purpose**: The signal line serves as a benchmark for the filtered oscillator values, providing a basis for comparison to determine the current trend's strength.
- **Smoothing**: The signal line is smoothed over a user-defined period to ensure it represents the underlying trend accurately. This smoothing process reduces the noise and allows traders to focus on the more meaningful movements.
4. **Overbought/Oversold Zones**:
- **Purpose**: These zones help traders identify when the market is potentially overstretched and due for a correction. They are crucial for timing entry and exit points.
- **Thresholds**: The user-defined thresholds represent levels where the oscillator values are considered extreme. When the oscillator crosses these levels, it signals that the market may be overbought or oversold.
- **Visual Cues**: The indicator plots these zones on the chart, making it easy for traders to see when the market enters these critical areas. This visualization is vital for spotting potential reversals or continuations in the trend.
5. **Histogram Visualization**:
- **Purpose**: The histogram provides a visual representation of the volatility in the market, making it easier to interpret the oscillator's readings.
- **Color Coding**: The histogram bars are color-coded based on the filtered oscillator's relationship with the signal line. Green bars indicate a positive momentum (bullish), while red bars indicate negative momentum (bearish). This color-coding helps traders quickly assess the market's current state.
- **Intensity of Movement**: The height and color intensity of the histogram bars reflect the strength of the underlying trend. Higher bars with more intense colors signify stronger market movements.
6. **Buy and Sell Signals**:
- **Purpose**: The indicator provides explicit buy and sell signals based on the oscillator's interaction with the signal line and the overbought/oversold thresholds.
- **Buy Signal**: A buy signal is generated when the filtered oscillator crosses above the signal line while in the oversold zone. This suggests that the market may be reversing upwards from an oversold condition.
- **Sell Signal**: Conversely, a sell signal is generated when the filtered oscillator crosses below the signal line while in the overbought zone, indicating a potential downward reversal from an overbought condition.
- **Visual Representation**: These signals are visually represented on the chart with specific symbols, such as green circles for buy signals and red circles for sell signals, making them easy to spot.
### **Usefulness and Applications**
1. **Trend Identification**:
- The indicator is highly effective in identifying the current trend and its strength. By analyzing the relationship between the oscillator and the signal line, traders can determine whether the market is in an uptrend, downtrend, or ranging. The adaptive nature of the filter ensures that the trend signals remain relevant even as market conditions change.
2. **Volatility Analysis**:
- Understanding market volatility is crucial for risk management and strategy development. This indicator provides a clear view of how volatility is evolving, helping traders adjust their strategies accordingly. For example, higher volatility might suggest the need for tighter stop losses or more conservative position sizes.
3. **Overbought/Oversold Detection**:
- The overbought and oversold zones are essential for identifying potential reversal points. These zones can be used to time entries and exits, particularly in markets that are prone to mean reversion. The visual cues provided by the indicator make it easier to spot when the market might be overstretched.
4. **Adaptive Filtering**:
- The adaptive filter is a significant advantage of this indicator. Unlike static filters, which might lag or react too quickly to noise, the adaptive filter adjusts to the market's pace. This makes the indicator versatile, suitable for different market conditions, and less prone to giving false signals.
5. **Visual Clarity**:
- The indicator is designed with visual clarity in mind. The color-coded bars and overbought/oversold zones make it easy to interpret the market's current state at a glance. This is particularly useful for traders who rely on quick decision-making or need to monitor multiple assets simultaneously.
6. **Customizability**:
- The indicator offers several user inputs that allow traders to customize it according to their trading style and market of interest. This includes the length of the volume period, the sensitivity of the adaptive filter, and the thresholds for overbought/oversold conditions. Such flexibility makes it a valuable tool for both short-term traders and long-term investors.
### **Conclusion**
The "Uptrick: Adaptive Volatility Oscillator" is a powerful and versatile indicator that blends volume analysis with adaptive filtering to provide a nuanced view of market trends and volatility. Its ability to identify overbought and oversold conditions, coupled with its adaptive nature, makes it an indispensable tool for traders looking to gain an edge in the markets. Whether you're aiming to spot trend reversals, confirm the strength of ongoing trends, or manage risk through volatility analysis, this indicator offers the insights needed to make informed trading decisions. Its clear visual signals and customizable parameters further enhance its utility, making it suitable for a wide range of trading strategies and market environments.
Commitment of Trader %RThis script is a TradingView Pine Script that creates a custom indicator to analyze Commitment of Traders (COT) data. It leverages the TradingView COT library to fetch data related to futures and options markets, processes this data, and then applies the Williams %R indicator to the COT data to assist in trading decisions. Here’s a detailed explanation of its components and functionality:
Importing and Configuration:
The script imports the COT library from TradingView and sets up tooltips to explain different input options to the user.
It allows the user to choose the mode for fetching COT data, which can be based on the root of the symbol, base currency, or quote currency.
Users can also input a specific CFTC code directly, instead of relying on automatic code generation.
Inputs and Parameters:
The script provides inputs to select the type of data (futures, options, or both), the type of COT data to display (long positions, short positions, etc.), and thresholds for the Williams %R indicator.
It also allows setting the period for the Williams %R calculation.
Data Request and Processing:
The dataRequest function fetches COT data for large traders, small traders, and commercial hedgers.
The script calculates the Williams %R for each type of trader, which measures overbought and oversold conditions.
Visualization:
The script uses background colors to highlight when the Williams %R crosses the specified thresholds for commercial hedgers.
It plots the COT data and Williams %R on the chart, with different colors representing large traders, small traders, and commercial hedgers.
Horizontal lines are drawn to indicate the upper and lower thresholds.
Display Information:
A table is displayed on the chart’s lower left corner showing the current COT data and CFTC code used.
Use of COT Report in Futures Trading
The COT report is a weekly publication by the Commodity Futures Trading Commission (CFTC) that provides insights into the positions held by different types of traders in the futures markets. This information is valuable for traders as it shows:
Market Sentiment: By analyzing the positions of commercial traders (often considered to be more informed), non-commercial traders (speculative traders), and small traders, traders can gauge market sentiment and potential future movements.
Contrarian Indicators: Large shifts in positions, especially when non-commercial traders hold extreme positions, can signal potential reversals or trends.
Research on COT Data and Price Movements
Several academic studies have examined the relationship between COT data and price movements in financial markets. Here are a few key works:
"The Predictive Power of the Commitment of Traders Report" by Jacob J. (2009):
This paper explores how changes in the positions of different types of traders in the COT report can predict future price movements in futures markets.
Citation: Jacob, J. (2009). The Predictive Power of the Commitment of Traders Report. Journal of Futures Markets.
"A New Look at the Commitment of Traders Report" by Mitchell, C. (2010):
Mitchell analyzes the efficacy of using COT data as a trading signal and its impact on trading strategies.
Citation: Mitchell, C. (2010). A New Look at the Commitment of Traders Report. Financial Analysts Journal.
"Market Timing Using the Commitment of Traders Report" by Kirkpatrick, C., & Dahlquist, J. (2011):
This study investigates the use of COT data for market timing and the effectiveness of various trading strategies based on the report.
Citation: Kirkpatrick, C., & Dahlquist, J. (2011). Market Timing Using the Commitment of Traders Report. Technical Analysis of Stocks & Commodities.
These studies provide insights into how COT data can be utilized for forecasting and trading decisions, reinforcing the utility of incorporating such data into trading strategies.
Breadth Thrust Indicator by Zweig (NYSE Data with Volume)The Breadth Thrust Indicator, based on Zweig's methodology, is used to gauge the strength of market breadth and potential bullish signals. This indicator evaluates the breadth of the market by analyzing the ratio of advancing to declining stocks and their associated volumes.
Usage:
Smoothing Length: Adjusts the smoothing period for the combined ratio of breadth and volume.
Low Threshold: Defines the threshold below which the smoothed combined ratio should fall to consider a bullish signal.
High Threshold: Sets the upper threshold that the smoothed combined ratio must exceed to confirm a bullish Breadth Thrust signal.
Signal Interpretation:
Bullish Signal: A background color change to green indicates that the Breadth Thrust condition has been met. This occurs when the smoothed combined ratio crosses above the high threshold after being below the low threshold. This signal suggests strong market breadth and potential bullish momentum.
By using this indicator, traders can identify periods of strong market participation and potential upward price movement, helping them make informed trading decisions.
RSI Strategy with Adjustable RSI and Stop-LossThis trading strategy uses the Relative Strength Index (RSI) and a Stop-Loss mechanism to make trading decisions. Here’s a breakdown of how it works:
RSI Calculation:
The RSI is calculated based on the user-defined length (rsi_length). This is a momentum oscillator that measures the speed and change of price movements.
Buy Condition:
The strategy generates a buy signal when the RSI value is below a user-defined threshold (rsi_threshold). This condition indicates that the asset might be oversold and potentially due for a rebound.
Stop-Loss Mechanism:
Upon triggering a buy signal, the strategy calculates the Stop-Loss level. The Stop-Loss level is set to a percentage below the entry price, as specified by the user (stop_loss_percent). This level is used to limit potential losses if the price moves against the trade.
Sell Condition:
A sell signal is generated when the current closing price is higher than the highest high of the previous day. This condition suggests that the price has reached a new high, and the strategy decides to exit the trade.
Plotting:
The RSI values are plotted on the chart for visual reference. A horizontal line is drawn at the RSI threshold level to help visualize the oversold condition.
Summary
Buying Strategy: When RSI is below the specified threshold, indicating potential oversold conditions.
Stop-Loss: Set based on a percentage of the entry price to limit potential losses.
Selling Strategy: When the price surpasses the highest high of the previous day, signaling a potential exit point.
This strategy aims to capture potential rebounds from oversold conditions and manage risk using a Stop-Loss mechanism. As with any trading strategy, it’s essential to test and optimize it under various market conditions to ensure its effectiveness.
Approximate Spectral Entropy-Based Market Momentum (SEMM)Overview
The Approximate Spectral Entropy-Based Market Momentum (SEMM) indicator combines the concepts of spectral entropy and traditional momentum to provide traders with insights into both the strength and the complexity of market movements. By measuring the randomness or predictability of price changes, SEMM helps traders understand whether the market is in a trending or consolidating state and how strong that trend or consolidation might be.
Key Features
Entropy Measurement: Calculates the approximate spectral entropy of price movements to quantify market randomness.
Momentum Analysis: Integrates entropy with rate-of-change (ROC) to highlight periods of strong or weak momentum.
Dynamic Market Insight: Provides a dual perspective on market behavior—both the trend strength and the underlying complexity.
Customizable Parameters: Adjustable window length for entropy calculation, allowing for fine-tuning to suit different market conditions.
Concepts Underlying the Calculations
The indicator utilizes Shannon entropy, a concept from information theory, to approximate the spectral entropy of price returns. Spectral entropy traditionally involves a Fourier Transform to analyze the frequency components of a signal, but due to Pine Script limitations, this indicator uses a simplified approach. It calculates log returns over a rolling window, normalizes them, and then computes the Shannon entropy. This entropy value represents the level of disorder or complexity in the market, which is then multiplied by traditional momentum measures like the rate of change (ROC).
How It Works
Price Returns Calculation: The indicator first computes the log returns of price data over a specified window length.
Entropy Calculation: These log returns are normalized and used to calculate the Shannon entropy, representing market complexity.
Momentum Integration: The calculated entropy is then multiplied by the rate of change (ROC) of prices to generate the SEMM value.
Signal Generation: High SEMM values indicate strong momentum with higher randomness, while low SEMM values indicate lower momentum with more predictable trends.
How Traders Can Use It
Trend Identification: Use SEMM to identify strong trends or potential trend reversals. Low entropy values can indicate a trending market, whereas high entropy suggests choppy or consolidating conditions.
Market State Analysis: Combine SEMM with other indicators or chart patterns to confirm the market's state—whether it's trending, ranging, or transitioning between states.
Risk Management: Consider high SEMM values as a signal to be cautious, as they suggest increased market unpredictability.
Example Usage Instructions
Add the Indicator: Apply the "Approximate Spectral Entropy-Based Market Momentum (SEMM)" indicator to your chart.
Adjust Parameters: Modify the length parameter to suit your trading timeframe. Shorter lengths are more responsive, while longer lengths smooth out the signal.
Analyze the Output: Observe the blue line for entropy and the red line for SEMM. Look for divergences or confirmations with price action to guide your trades.
Combine with Other Tools: Use SEMM alongside moving averages, support/resistance levels, or other indicators to build a comprehensive trading strategy.
RSI - ARIEIVhe RSI MAPPING - ARIEIV is a powerful technical indicator based on the Relative Strength Index (RSI) combined with moving averages and divergence detection. This indicator is designed to provide a clear view of overbought and oversold conditions, as well as identifying potential reversals and signals for market entries and exits.
Key Features:
Customizable RSI:
The indicator offers flexibility in adjusting the RSI length and data source (closing price, open price, etc.).
The overbought and oversold lines can be customized, allowing the RSI to signal critical market zones according to the trader’s strategy.
RSI-Based Moving Averages (MA):
Users can enable a moving average based on the RSI with support for multiple types such as SMA, EMA, WMA, VWMA, and SMMA (RMA).
For those who prefer Bollinger Bands, there’s an option to use the moving average with standard deviation to detect market volatility.
Divergence Detection:
Detects both regular and hidden divergences (bullish and bearish) between price and RSI, which can indicate potential market reversals.
These divergences can be customized with specific colors for easy identification on the chart, allowing traders to quickly spot significant market shifts.
Zone Mapping:
The script maps zones of buying and selling strength, filling the areas between the overbought and oversold levels with specific colors, highlighting when the market is in extreme conditions.
Strength Tables:
At the end of each session, a table appears on the right side of the chart, displaying the "Buying Strength" and "Selling Strength" based on calculated RSI levels. This allows for quick analysis of the dominant pressure in the market.
Flexible Settings:
Many customization options are available, from adjusting the number of decimal places to the choice of colors and the ability to toggle elements on or off within the chart.
RSI Slope Filtered Signals [UAlgo]The "RSI Slope Filtered Signals " is a technical analysis tool designed to enhance the accuracy of RSI (Relative Strength Index) signals by incorporating slope analysis. This indicator not only considers the RSI value but also analyzes the slope of the RSI over a specified number of bars, providing a more refined signal that accounts for the momentum and trend strength. By utilizing both positive and negative slope arrays, the indicator dynamically adjusts its thresholds, ensuring that signals are responsive to changing market conditions. This tool is particularly useful for traders looking to identify overbought and oversold conditions with a higher degree of precision, filtering out noise and providing clear visual cues for potential market reversals.
🔶 Key Features
Dynamic Slope Analysis: Measures the slope of RSI over a customizable number of bars, offering insights into the momentum and trend direction.
Adaptive Thresholds: Uses historical slope data to calculate dynamic thresholds, adjusting signal sensitivity based on market conditions.
Normalized Slope Calculation: Normalizes the slope values to provide a consistent measure across different market conditions, making the indicator more versatile.
Clear Signal Visualization: The indicator plots both positive and negative normalized slopes with color gradients, visually representing the strength of the trend.
Overbought and Oversold Signals: Plots overbought and oversold signals directly on the chart when the calculated value reaches the user-specified threshold, helping traders identify potential reversal points.
Customizable Settings: Allows users to adjust the RSI length, slope measurement bars, and lookback periods, providing flexibility to tailor the indicator to different trading strategies.
🔶 Interpreting the Indicator
The "RSI Slope Filtered Signals " indicator is designed to be easy to interpret. Here's how you can use it:
Normalized Slope: The indicator plots the normalized slope of the RSI, with values above zero indicating positive momentum and values below zero indicating negative momentum. A higher positive slope suggests a strong upward trend, while a deeper negative slope indicates a strong downward trend.
Reversal Signals: The indicator plots several horizontal lines at different thresholds (+3, +2, +1, 0, -1, -2, -3). These levels are used to gauge the strength of the momentum based on the normalized slope. For example, a normalized slope crossing above the +2 threshold may indicate a strong bullish trend, while crossing below the -2 threshold may suggest a strong bearish trend. These thresholds help in understanding the intensity of the current trend and provide context for interpreting the indicator's signals.
This indicator generates overbought and oversold signals not solely based on the RSI entering extreme levels (above 70 for overbought and below 30 for oversold), but also by considering the behavior of the normalized slope relative to specific thresholds. Specifically, the Overbought Signal (🔽) is triggered when the RSI is above 70 and the normalized slope from the previous bar is greater than or equal to the upper threshold, with the current slope being lower than the previous slope, indicating a potential bearish reversal as momentum may be slowing down.
Similarly, the Oversold Signal (🔼) is generated when the RSI is below 30 and the normalized slope from the previous bar is less than or equal to the lower threshold, with the current slope being higher than the previous slope, signaling a potential bullish reversal as the downward momentum may be weakening.
Area Plots: The indicator also plots the positive and negative slopes as filled areas, providing a quick visual cue for the strength and direction of the trend. Green areas represent positive slopes (upward momentum), while red areas represent negative slopes (downward momentum).
By combining these elements, the "RSI Slope Filtered Signals " provides a comprehensive view of the market's momentum, helping traders make more informed decisions by filtering out false signals and focusing on the significant trends.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Average of CBO and CBO divergence histogramShort Description:
This indicator combines a Custom Bias Oscillator (CBO) with its Divergence Histogram and computes their average for use to assess the market's bias based on candlestick analysis, from the aforementioned CBO indicator.
Full Description:
Overview:
This indicator integrates two powerful analytical tools into a single script: a Custom Bias Oscillator (CBO) and its Divergence Histogram. This indicator provides traders with a comprehensive view of market bias and divergence between price movements and volume, enhanced by an optional signal line derived from the combined average of these metrics.
Key Features:
Custom Bias Oscillator (CBO):
The CBO is calculated based on the body and wick biases of candlesticks, normalized by the Average True Range (ATR) to account for market volatility.
The CBO is scaled by the divergence between the Rate of Change (ROC) of volume and the ROC of the adjusted bias, ensuring it reflects potential reversals or continuations in the market.
Divergence Histogram:
The Divergence Histogram is derived from the difference between the CBO and its signal line.
This difference is normalized and plotted to provide visual cues for potential divergences, which may indicate trend exhaustion or the beginning of a new trend.
Combined Average with Signal Line:
The indicator calculates the average of the CBO and the normalized divergence, creating a combined signal that offers a more rounded perspective on market conditions.
A signal line, generated by smoothing the combined average, is plotted to help traders identify potential buy or sell signals based on crossovers.
Customization:
The indicator includes customizable parameters for the periods of the oscillator, signal line, ATR, ROC, and the combined signal line, allowing traders to tailor the indicator to different market conditions and timeframes.
How to Use:
Buy Signal: Consider a long position when the combined average crosses above the signal line, indicating potential bullish momentum.
Sell Signal: Consider a short position when the combined average crosses below the signal line, indicating potential bearish momentum.
Divergence Analysis: Use the Divergence Histogram to identify areas where price movements may be diverging from volume, signaling potential reversals or corrections.
Disclaimer:
This indicator is designed for educational and informational purposes only. It is not financial advice. Always perform your own analysis before making any investment decisions. Past performance is not indicative of future results.
Nautilus Oscillator [BigBeluga]NAUTILUS OSCILLATOR
The Nautilus Oscillator by BigBeluga is an advanced technical analysis tool designed to help traders identify trend direction, strength, and potential reversal points in the market. This versatile indicator combines multiple analytical elements to provide a comprehensive view of market conditions.
Why It’s Unique:
The Nautilus Oscillator is unique too, its blend of multiple technical analysis tools into a single, coherent indicator.
By smoothing with a unique and highly valued in signal processing filter, and incorporating dynamic thresholds, this oscillator offers a more refined and adaptable approach to identifying trading signals.
The filter is designed to have as flat a frequency response as possible in the passband. This means that within the range of frequencies it allows through, minimizes distortion and maintains the true shape of the signal more accurately than many other types of filters.
The addition of a trend filter and divergence detection further enhances its capability, making it a versatile tool for both trend-following and reversal strategies. The built-in dashboard and clean chart management features provide traders with a streamlined, informative, and visually appealing trading experience. This makes the Nautilus Oscillator not just a tool for analysis but a comprehensive trading system in itself.
🔵 KEY FEATURES
● Main Oscillator Line
Smoothly transitions between bullish (green) and bearish (purple) colors
Helps visualize mean-reversion, market trend, and momentum
● Histogram
Displayed below the main oscillator line
Represents the rate of change of the main oscillator
Acts as a leading indicator, often showing changes faster than the main oscillator line
Can be viewed as a predictive element, potentially indicating future movements of the main oscillator
Histogram crossover signals (small dots) can indicate short-term momentum shifts
Useful for early detection of potential trend changes or momentum shifts
● Confluence Arrows
Arrows displayed above and below the oscillator
Provide additional confluence signals that work in conjunction with the histogram
Act as supplementary indicators to confirm the main oscillator signals
Help in identifying stronger, more reliable trading opportunities when aligned with other indicator elements
● Trend Filter
Displayed as horizontal lines above and below the oscillator
Upper lines (above the oscillator): Indicate an uptrend
Lower lines (below the oscillator): Indicate a downtrend
Three lines appear when a strong trend is present
Only one line is displayed when there's no trend
Color-coded for easy identification (typically green for up, purple for down)
Color intensity indicates the strength of the trend. More intensive color indicates stronger trend
Provides a clear visual representation of the overall market trend
Helps traders align their strategies with the broader market direction
● Overbought/Oversold Thresholds
Can be set to static levels or dynamically adjust based on market volatility
Helps identify potential reversal points in the market
● Signals
Strong signals: Displayed as circles on both the oscillator and main chart (optional)
Simple signals: Shown as X marks on both the oscillator and main chart (optional)
Histogram crossover signals: Small dots on the histogram
● Stop Levels
Optional feature that plots potential stop-loss levels for strong signals
Based on the Market volatility for adaptability to different market conditions
● Divergences
Identifies and displays bullish and bearish divergences between price and the oscillator
Helps spot potential trend reversals
● Dashboard
Provides at-a-glance information about current market conditions
Displays trend direction, last signal, histogram direction, threshold mode, and divergence status
🔵 HOW TO USE
● Trend Identification
Use the main oscillator line color and position, along with the trend filter lines, to determine the overall market trend
● Entry Signals
Strong signals (circles) suggest potential entry points in the direction of the trend
Simple signals (X marks) can be used for more frequent, but potentially less reliable, entry opportunities
Histogram crossover signals (dots) can indicate changes faster than the main oscillator line
Look for alignment with confluence arrows for stronger entry signals
● Exit Signals
Use the overbought/oversold thresholds as potential enter and exit points
Stop levels (if enabled) provide dynamic exit points for risk management
● Reversal Identification
Watch for divergences between price and the oscillator for potential trend reversals
Pay attention to the histogram direction for early signs of momentum shifts
Notice changes in the trend filter lines (from three lines to one, or vice versa)
● Confirmation
Use the dashboard to quickly confirm the current market state and indicator readings
Combine signals from different elements (main line, histogram, trend filter, confluence arrows) for stronger confirmation
🔵 CUSTOMIZATION
The Nautilus Oscillator offers several customization options to suit different trading styles:
Adjust the main oscillator length
Set static or dynamic overbought/oversold thresholds
Enable/disable and customize stop levels
Toggle divergence display and adjust its parameters
Show/hide the information dashboard
Display simple signals on the main chart
By fine-tuning these settings, traders can adapt the Nautilus Oscillator to various market conditions and personal trading strategies.
The Nautilus Oscillator provides a multi-faceted approach to market analysis, combining trend identification, momentum assessment, and reversal detection in one comprehensive tool. Its visual cues and customizable features make it suitable for both novice and experienced traders across various timeframes and markets. The integration of multiple analytical elements – including the predictive histogram, confluence arrows, and adaptive trend filter – offers traders a rich set of data points to inform their trading decisions.
Prime Oscillators Pro + [ChartPrime]Prime Oscillators Pro Plus
The Prime Oscillator is a powerful technical analysis tool designed to provide traders with a multi-faceted view of market trends and potential price movements. By integrating several key components, each with unique analytical capabilities, the Prime Oscillator offers a robust mechanism for evaluating market conditions, predicting trends, and identifying potential trading opportunities. Here's a detailed breakdown of why each component is unique and brings varying approaches into market analysis:
Money Flow Tracker
The Money Flow Tracker measures the flow of money into and out of a security over a specific period of time. It combines both price and volume data to provide insights into the buying and selling pressure of an asset. Employing low lag filtering methods; this confluence of readings allows for in theory; a more reliable oscillator.
This feature allows for:
Early Trend Detection: By highlighting periods of positive (green) and negative (red) volume, traders can anticipate shifts in market sentiment before they become apparent in price action.
Volume Matrix
The lower volume oscillator shows whether money is flowing into or out of the market. Green suggests uptrend and buyers are in control whereas red represents a majority of sellers. By incorporating smoothed volume analysis, it distinguishes between bullish and bearish volumes, providing an early indication of potential trend reversals.
Top and Bottom Power Bars
These lines represent confirmation of trends based on the convergence of seven different conditions, with brightness indicating the strength of the trend. Brighter lines suggest strong trends, while dimmer lines indicate weaker trends.
Trend Strength Identification; By visually representing the strength of a trend, traders can gauge the confidence of the market in a particular direction.
Overbought/Oversold Conditions: Bright lines in overbought or oversold zones signal potential reversal points, helping traders avoid entering positions at extreme highs or lows.
Volume-Inspired Signals
The volume inspired signals inspired signals are used to determine overbought and oversold conditions, adding another layer of analysis to the oscillator.
Price Fairness Assessment: The signals help traders assess whether the current price is above or below the average price, adjusted for volume, indicating potential reversal zones.
Improved Timing: By using these signals, traders can improve the timing of their entries and exits, ensuring they are aligned with the broader market consensus.
The True 7
The middle ranking system evaluates the strength of a move and the overall trend, offering a numeric or visual representation of trend strength. It can also indicate when a trend is starting to reverse, providing leading signals for potential market shifts. This allows for traders to understand how strong the trend is and their trade and also forecast potential reversals in market activity. For example if a trader were in a long position and the ranking system starts to show a weakening trend the trader may want to exit their position. This is a unique piece of confluence lacking in other tools where market performance is boiled down to a rank rather than value.
Reversal signals: These are in essence a contrarian signal predicting the reversal of the market and the oscillator.
The Peak Seekers are blue dots that analyze multiple indicators to deduce more accurately and confluence within divergences. Settings here are auto optimized depending on the user selected timeframe.
Main Oscillator
The main oscillator is designed to be a low lag identifier of market moves. Using low lag smoothing approaches, a green and red color further indicates a trend. This is fantastic when used in confluence with other features in this toolkit.
This system quantifies the strength of a trend, helping traders understand the market's momentum and the potential sustainability of a move.
MVP Oscillator
The second mode in this toolkit; the MVP Oscillator analyses volume at a deeper level.
The Main Ribbon
This oscillator analyses market trends and produces a blue and purple ribbon. A blue ribbon suggests the market is moving upwards and a purple ribbon suggests the market is moving downwards. This plot can be used classically and a user can easily use this for divergence identification. In this mode however divergences are not the main feature and would need to be manually identified.
Ranging between -100 and 100; this oscillator, when below 0, suggests the market is bearish and moving downwards. When above 0 the market is in a bullish state. Looking for confluence here is key. For example if the oscillator is below 0 and we see purple appearing on the ribbon; this could be a stronger sign the market will continue to move downwards. However; if it's below 0 and the oscillator turns blue; this could indicate indecision in the market.
The Green Bars
The main other component on the MVP oscillator are the overextended green bars that appear when a market reversal is due.
Green bars suggesting the market will soon reverse
When the green bars appear the user can infer that the market may bounce around this region making it once again excellent when used in confluence with other tools from ChartPrime. Looking for these bars can indicate when a trader might want to be looking for some dynamic positions. Consider these a warning sign.
Signals
The MVP oscillator also has signals. These appear when the oscillator becomes overextended and displays arrows. These can serve as classical buy or sell signals when used in confluence with other indicators.
Looking for confluence with these signals can be a powerful idea. For example; in the image above we see a buy signal with green bars. This suggests the market is due a reversal and that reversal will most likely be a bullish one.
Summary
The Prime Oscillator combines these components to create a powerful and comprehensive tool for technical analysis. Each element plays a crucial role in offering a nuanced view of the market, from early trend detection and volume confirmation to trend strength measurement and overbought/oversold signals. By using the Prime Oscillator, traders can gain a deeper understanding of market dynamics, make more informed trading decisions, and enhance their overall trading strategy.
Normalized Willspread IndicatorNot sure to call it as willspread or not, because i take this idea from Larry William's original willspread indicator and did some modifications which found out to be more effective in my opinion, which is by subtracting 21 and 3 ma, this indicator is found on Trade_Stocks_and_Commodities_With_the_Insiders page155. Feel free to find out.
Here's what I modified, instead of using the subtraction between two ma, I use one ma only, I find more accurate in spotting oversold and overbought value. This indicator is useful for metals. It basically compares the value between two assets, let's say u are watching gold, u can select compare it to dxy, us30Y or gold, let's say u choose to compare to dxy, and the indicator shows the the index is overvalued which is above 80 levels, then it is suggesting that gold is overvalued, the same logic apply to undervalued as well which is 20 levels. This is not a entry or exit tool but as additional confluence, u can use any entry method u want like supply and demand and use this indicator to validate your idea, not sure whether it works on forex or not, so far i think it works well on metals.
The bar colour corresponding to the index when it is overbought or oversold. U can switch off it if you dont need it. Do note that this is a repainting indicator, so u must refer to previous week close.
EMA Crossover Buy/Sell IndicatorScript Overview
This script is a trading indicator designed to identify potential buy and sell signals based on the crossover of two Exponential Moving Averages (EMAs):
Indicator Title and Setup:
The script is named "EMA Crossover Buy/Sell Indicator" and is plotted directly on the price chart.
EMAs Calculation:
It calculates two EMAs: a 20-period EMA and a 50-period EMA. These are used to analyze the market trends over different time frames.
Plotting EMAs:
The 20-period EMA is shown on the chart in blue.
The 50-period EMA is shown in orange.
These lines help visualize the current trend and potential points of interest where the moving averages intersect.
Generating Signals:
A buy signal is triggered when the 20-period EMA crosses above the 50-period EMA.
A sell signal is triggered when the 20-period EMA crosses below the 50-period EMA.
These signals suggest potential buying or selling opportunities based on the crossover of the EMAs.
Displaying Signals:
Buy signals are marked with green labels below the bars on the chart.
Sell signals are marked with red labels above the bars on the chart.
This visual representation helps traders quickly identify potential trading opportunities.
Alerts:
Alerts are set up to notify the trader when a buy or sell signal occurs.
The alert messages specify whether the signal is a buying opportunity or a selling opportunity based on the EMA crossovers.
Altcoin Total Average Divergence (YavuzAkbay)The "Average Price and Divergence" indicator is a strong tool built exclusively for cryptocurrency traders who understand the significance of comparing altcoins to Bitcoin (BTC). While traditional research frequently focusses on the value of cryptocurrencies against fiat currencies such as the US dollar, this indicator switches the focus to the value of altcoins against Bitcoin itself, allowing you to detect potential market opportunities and divergences.
The indicator allows you to compare the price of an altcoin to Bitcoin (e.g., ETHBTC, SOLBTC), which is critical for determining how well an altcoin performs against the main cryptocurrency. This is especially important for investors who expect Bitcoin's price will continue to rise logarithmically and want to ensure that their altcoin holdings retain or expand in market capitalisation compared to Bitcoin.
The indicator computes the average price of the chosen cryptocurrency relative to Bitcoin over the viewable portion of the chart. This average acts as a benchmark, indicating the normal value around which the altcoin's price moves.
The primary objective of this indicator is to calculate and plot the divergence, which is the difference between the altcoin's current price relative to Bitcoin and its average value. This divergence can reveal probable overbought or oversold conditions, allowing traders to make better decisions about entry and exit points.
The divergence is represented as a histogram, with bars representing the magnitude of the difference between the current and average prices. Positive values indicate that the altcoin is trading above its average value in comparison to Bitcoin, whereas negative values indicate that it is trading below its average.
The indicator automatically adjusts to the chart's visible range, ensuring that the average price and divergence are always calculated using the most relevant data. This makes the indicator extremely sensitive to changes in the chart view and market conditions.
How to Use:
A significant positive divergence may imply that the cryptocurrency is overbought in comparison to Bitcoin and is headed for a correction. A significant negative divergence, on the other hand, may indicate that the cryptocurrency has been oversold and is cheap in comparison to Bitcoin.
Tracking how an altcoin's price deviates from its average relative to Bitcoin can provide insights about the market's opinion towards that altcoin. Persistent positive divergence may suggest high market confidence, whilst constant negative divergence may imply a lack of interest or eroding fundamentals.
Use divergence data to better time your trades, either by entering when a cryptocurrency is discounted in comparison to its average (negative divergence) or departing when it is overpriced (positive divergence). This allows you to capture value as the price returns to its mean.
Ideal For:
Cryptocurrency Traders who want to understand how altcoins are performing relative to Bitcoin rather than just against fiat currencies.
Long-term Investors looking to ensure their altcoin investments are maintaining or growing their value relative to Bitcoin.
Market Analysts interested in identifying potential reversals or continuations in altcoin prices based on divergence from their average value relative to Bitcoin.
Price Oscillator TR### Summary: How to Use the Price Oscillator with EMA Indicator
The **Price Oscillator with EMA** is a custom technical analysis tool designed to help traders identify potential buying and selling opportunities based on price momentum. Here's how to use it:
1. **Understanding the Oscillator**:
- The oscillator is calculated by normalizing the current price relative to the highest high and lowest low over a specified lookback period. It fluctuates between -70 and +70.
- When the oscillator is near +70, the price is close to the recent highs, indicating potential overbought conditions. Conversely, when it’s near -100, the price is close to recent lows, indicating potential oversold conditions.
2. **Exponential Moving Average (EMA)**:
- The indicator includes an EMA of the oscillator to smooth out price fluctuations and provide a clearer signal.
- The EMA helps to filter out noise and confirm trends.
3. **Trading Signals**:
- **Bullish Signal**: A potential buying opportunity is signaled when the oscillator crosses above its EMA. This suggests increasing upward momentum.
- **Bearish Signal**: A potential selling opportunity is signaled when the oscillator crosses below its EMA. This indicates increasing downward momentum.
4. **Visual Aids**:
- The indicator includes horizontal lines at +70, 0, and -70 to help you quickly assess overbought, neutral, and oversold conditions.
- The blue line represents the oscillator, while the orange line represents the EMA of the oscillator.
### How to Use:
- **Set your parameters**: Adjust the lookback period and EMA length to fit your trading strategy and time frame.
- **Watch for Crossovers**: Monitor when the oscillator crosses the EMA. A crossover from below to above suggests a buy, while a crossunder from above to below suggests a sell.
- **Confirm with Other Indicators**: For more reliable signals, consider using this indicator alongside other technical tools like volume analysis, trend lines, or support/resistance levels.
This indicator is ideal for traders looking to capture momentum-based trades in various market conditions.
MACD Trail | Flux Charts💎 GENERAL OVERVIEW
Introducing our new MACD Trail indicator! Moving average convergence/divergence (MACD) is a well-known indicator among traders. It's a trend-following indicator that uses the relationship between two exponential moving averages (EMAs). This indicator aims to use MACD to generate a trail that follows the current price of the ticker, which can act as a support / resistance zone. More info about the process in the "How Does It Work" section.
Features of the new MACD Trail Indicator :
A Trail Generated Using MACD Calculation
Customizable Algorithm
Customizable Styling
📌 HOW DOES IT WORK ?
First of all, this indicator calculates the current MACD of the ticker using the user's input as settings. Let X = MACD Length setting ;
MACD ~= X Period EMA - (X * 2) Period EMA
Then, two MACD Trails are generated, one being bullish and other being bearish. Let ATR = 30 period ATR (Average True Range)
Bullish MACD Trail = Current Price + MACD - (ATR * 1.75)
Bearish MACD Trail = Current Price + MACD + (ATR * 1.75)
The indicator starts by rendering only the Bullish MACD Trail. Then if it's invalidated (candlestick closes below the trail) it switches to Bearish MACD Trail. The MACD trail switches between bullish & bearish as they get invalidated.
The trail type may give a hint about the current trend of the price action. The trail itself also can act as a support / resistance zone, here is an example :
🚩 UNIQUENESS
While MACD is one of the most used indicators among traders, this indicator aims to add another functionality to it by rendering a trail based on it. This trail may act as a support / resistance zone as described above, and gives a glimpse about the current trend. The indicator also has custom MACD Length and smoothing options, as well as various style options.
⚙️ SETTINGS
1. General Configuration
MACD Length -> This setting adjusts the EMA periods used in MACD calculation. Increasing this setting will make MACD more responseive to longer trends, while decreasing it may help with detection of shorter trends.
Smoothing -> The smoothing of the MACD Trail. Increasing this setting will help smoothen out the MACD Trail line, but it can also make it less responsive to the latest changes.
Moments Functions
This script is a TradingView Pine Script (version 5) for calculating and plotting statistical moments of a financial series. Here's a breakdown of what it does:
Script Overview
Purpose:
The script calculates and visualizes moments such as Mean, Variance, Skewness, and Kurtosis of a price series.
It also provides the option to display log returns and various statistical bands.
Inputs:
Moments Selection: Choose from Mean, Variance, Skewness, or Excess Kurtosis.
Source Settings: Define the lookback period and source data (e.g., closing price or log returns).
Plot Settings: Control visibility and styling of plots, bands, and information panels.
Colors Settings: Customize colors for different plot elements.
Functions:
f_va(): Computes sample variance.
f_sd(): Computes sample standard deviation.
f_skew(): Computes sample skewness.
f_kurt(): Computes sample kurtosis.
seskew(): Calculates the standard error of skewness.
sekurt(): Calculates the standard error of kurtosis.
skewcv(): Computes critical values for skewness.
kurtcv(): Computes critical values for kurtosis.
Outputs:
Plots:
Moment values (Mean, Variance, Skewness, Kurtosis).
Log Returns (if selected).
Standard Deviation Bands (if selected).
Critical Values for Skewness and Kurtosis (if selected).
Information Panel: Displays current statistical values and their significance.
Customization:
Users can customize appearance and behavior of the script through various input options, including colors, line thickness, and background settings.
Key Variables and Constants
Constants:
zscoreS and zscoreL: Z-scores for confidence intervals based on sample size.
skewrv and kurtrv: Reference values for skewness and excess kurtosis.
Sample Functions:
f_va() and f_sd(): Custom functions to calculate sample variance and standard deviation.
f_skew() and f_kurt(): Custom functions to calculate skewness and kurtosis.
Critical Values:
Functions skewcv() and kurtcv() calculate critical values used to assess statistical significance of skewness and kurtosis.
Plotting
Plot Types:
Mean, variance, skewness, and excess kurtosis are plotted based on user selection.
Log returns are plotted if enabled.
Standard deviation bands and critical values are plotted if enabled.
Labels:
Information panel labels display mean, variance/standard deviation, skewness, and kurtosis values along with their significance.
Example Usage
To use this script:
Add it to a TradingView chart.
Adjust inputs to configure which statistical moments to display, the source data, and the appearance of the plots.
Review the plotted data and labels to analyze the statistical properties of the selected price series.
This script is useful for traders and analysts looking to perform advanced statistical analysis on financial data directly within TradingView.
When comparing two stock prices over a period of time, the statistical moments—mean, variance, skewness, and kurtosis—can provide a deep insight into the behavior of the stock prices and their distributions. Here’s what each moment signifies in this context:
1. Mean
Definition: The mean (or average) is the sum of the stock prices over the period divided by the number of data points. It represents the central value of the price series.
Interpretation: When comparing two stocks, the mean tells you the average price level of each stock over the period. A higher mean indicates that, on average, the stock price is higher compared to another stock with a lower mean.
Comparison Insight: If Stock A has a higher mean price than Stock B, it implies that Stock A's prices are generally higher than those of Stock B over the given period.
2. Variance
Definition: Variance measures the dispersion or spread of the stock prices around the mean. It is the average of the squared differences from the mean.
Interpretation: A higher variance indicates that the stock prices fluctuate more widely from the mean, implying greater volatility. Conversely, a lower variance indicates more stable and predictable prices.
Comparison Insight: Comparing the variances of two stocks helps in assessing which stock has more price volatility. If Stock A has a higher variance than Stock B, it means Stock A's prices are more volatile and less predictable compared to Stock B.
3. Skewness
Definition: Skewness measures the asymmetry of the distribution of stock prices around the mean. It can be positive, negative, or zero:
Positive Skewness: The distribution has a long right tail, with more frequent small returns and fewer large positive returns.
Negative Skewness: The distribution has a long left tail, with more frequent small returns and fewer large negative returns.
Zero Skewness: The distribution is symmetric around the mean.
Interpretation: Skewness tells you about the direction of outliers in the stock price distribution. Positive skewness means a higher probability of large positive returns, while negative skewness means a higher probability of large negative returns.
Comparison Insight: By comparing skewness, you can understand the nature of extreme returns for two stocks. For example, if Stock A has positive skewness and Stock B has negative skewness, Stock A might have more frequent large gains, whereas Stock B might have more frequent large losses.
4. Kurtosis
Definition: Kurtosis measures the "tailedness" of the distribution of stock prices. It indicates how much of the distribution is in the tails versus the center. High kurtosis means more outliers (extreme returns), while low kurtosis means fewer outliers.
Interpretation:
High Kurtosis: Indicates a higher likelihood of extreme price movements (both high and low) compared to a normal distribution.
Low Kurtosis: Indicates that extreme price movements are less common.
Comparison Insight: Comparing kurtosis between two stocks shows which stock has more extreme returns. If Stock A has higher kurtosis than Stock B, it means Stock A has more frequent extreme price changes, suggesting more risk or opportunities for large gains or losses.
Summary
Mean: Compares average price levels.
Variance: Compares price volatility.
Skewness: Compares the asymmetry of price movements.
Kurtosis: Compares the likelihood of extreme price changes.
By analyzing these statistical moments, you can gain a comprehensive view of how the two stocks behave relative to each other, which can inform investment decisions based on risk, return expectations, and the nature of price movements.
Gabriel's Relative Unrealized Profit with Dynamic MVRV Histogram
Certainly! Here’s an enhanced description of the Gabriel's Relative Unrealized Profit with Dynamic MVRV Histogram indicator with detailed usage instructions and explanations of why it's effective:
Gabriel's Relative Unrealized Profit with Dynamic MVRV Histogram
Description:
The Gabriel's Relative Unrealized Profit with Dynamic MVRV Histogram is an advanced trading indicator designed to offer in-depth insights into asset profitability and market valuation. By integrating Relative Unrealized Profit (RUP) and the Market Value to Realized Value (MVRV) Ratio, this indicator provides a nuanced view of an asset's performance and potential trading signals.
Key Components:
SMA Length and Volume Indicator:
SMA Length: Defines the period for the Simple Moving Average (SMA) used to calculate the entry price, defaulted to 14 periods. This smoothing technique helps estimate the average historical price at which the asset was acquired.
Volume Indicator: Allows selection between "volume" and "vwap" (Volume-Weighted Average Price) for calculating entry volume. The choice impacts the calculation of entry volume, either based on standard trading volume or a weighted average price.
Realized Price Calculation:
Computes the average price over a specified period (default of 30 periods) to establish the realized price. This serves as a benchmark for evaluating the cost basis of the asset.
MVRV Calculation:
Current Price: The most recent closing price of the asset, representing its market value.
Total Cost: Calculated as the product of the entry price and entry volume, reflecting the total investment made.
Unrealized Profit: The difference between the current price and the entry price, multiplied by entry volume, indicating profit or loss that has yet to be realized.
Relative Unrealized Profit: Expressed as a percentage of the total cost, showing how much profit or loss exists relative to the initial investment.
Market Value and Realized Value: Market Value is the current price multiplied by entry volume, while Realized Value is the realized price multiplied by entry volume. The MVRV Ratio is obtained by dividing Market Value by Realized Value.
Normalization:
Normalizes both Relative Unrealized Profit and MVRV Ratio to a standardized range of -100 to 100. This involves calculating the minimum and maximum values over a 100-period window to ensure comparability and relevance.
Histogram Calculation:
The histogram is derived from the difference between the normalized Relative Unrealized Profit and the normalized MVRV Ratio. It visually represents the disparity between the two metrics, highlighting potential trading signals.
Plotting and Alerts:
Plots:
Normalized Relative Unrealized Profit (Blue Line): Plotted in blue, this line shows the scaled measure of unrealized profit. Positive values indicate potential gains, while negative values suggest potential losses.
Normalized MVRV Ratio (Red Line): Plotted in red, this line represents the scaled MVRV Ratio. Higher values suggest that the asset’s market value significantly exceeds its realized value, indicating potential overvaluation, while lower values suggest potential undervaluation.
Histogram (Green Bars): Plotted in green, this histogram displays the difference between the normalized Relative Unrealized Profit and the normalized MVRV Ratio. Positive bars indicate that the asset’s profitability is exceeding its market valuation, while negative bars suggest the opposite.
Alerts:
High Histogram Alert: Activated when the histogram value exceeds 50. This condition signals a strong positive divergence, indicating that the asset's profitability is outperforming its market valuation. It may suggest a buying opportunity or indicate that the asset is undervalued relative to its potential profitability.
Low Histogram Alert: Triggered when the histogram value falls below -50. This condition signals a strong negative divergence, indicating that the asset's profitability is lagging behind its market valuation. It may suggest a selling opportunity or indicate that the asset is overvalued relative to its profitability.
How to Use the Indicator:
Setup: Customize the SMA Length, Volume Indicator, and Realized Price Length based on your trading strategy and asset volatility. These parameters allow you to tailor the indicator to different market conditions and asset types.
Interpretation:
Blue Line (Normalized Relative Unrealized Profit): Monitor this line to gauge the profitability of holding the asset. Significant positive values suggest that the asset is currently in a profitable position relative to its purchase price.
Red Line (Normalized MVRV Ratio): Use this line to assess whether the asset is trading at a premium or discount relative to its cost basis. Higher values may indicate overvaluation, while lower values suggest undervaluation.
Green Bars (Histogram): Observe the histogram for deviations between RUP and MVRV Ratio. Large positive bars indicate that the asset's profitability is strong relative to its valuation, signaling potential buying opportunities. Large negative bars suggest that the asset's profitability is weak relative to its valuation, signaling potential selling opportunities.
Trading Strategy:
Bullish Conditions: When the histogram shows large positive values, it suggests that the asset’s profitability is strong compared to its valuation. Consider this as a potential buying signal, especially if the histogram remains consistently positive.
Bearish Conditions: When the histogram displays large negative values, it indicates that the asset’s profitability is weak compared to its valuation. This may signal a potential selling opportunity or caution, particularly if the histogram remains consistently negative.
Why This Indicator is Effective:
Integrated Metrics: Combining Relative Unrealized Profit and MVRV Ratio provides a comprehensive view of asset performance. This integration allows traders to evaluate both profitability and market valuation in one cohesive tool.
TICK Price Label Colors[Salty]The ticker symbol for the NYSE CUMULATIVE Tick Index is TICK. The Tick Index is a short-term indicator that shows the number of stocks trading up minus the number of stocks trading down. Traders can use this ratio to make quick trading decisions based on market movement. For example, a positive tick index can indicate market optimism, while readings of +1,000 and -1,000 can indicate overbought or oversold conditions.
This script is used to color code the price label of the Symbol values zero or above in Green(default), and values below zero in red(default). For a dynamic symbol like the TICK this tells me the market is bullish when Green or Bearish when Red. I was previously using the baseline style with a Base level of 50 to accomplish this view of the symbol, but it was always difficult to maintain the zero level at the zero TICK value. This indicator is always able to color code the price label properly. Also, it has the benefit of setting the timeframe to 1 second(default) that is maintained even when the chart timeframe is changed.
Update: Added the ability to show the TICK Symbol to support viewing multiple TICK tickers at once as shown.
