Order Book Pressure Index (OBPI)Overview
The Order Book Pressure Index (OBPI) is a custom technical indicator designed to provide traders with a real-time approximation of market pressure by analyzing buying and selling volumes. Unlike traditional indicators that rely heavily on historical price data, the OBPI focuses on current price movements and volume dynamics to offer a more responsive tool for detecting potential market shifts.
Key Features
Approximation of Order Book Pressure : Estimates market pressure by calculating the cumulative delta volume based on price movements and corresponding volumes. False Signal Filtering : Incorporates threshold levels and moving averages to reduce market noise and minimize false trading signals. Multi-Timeframe Analysis : Allows selection of multiple higher timeframes for signal confirmation, enhancing signal reliability. Customizable Parameters : Offers adjustable settings for thresholds, moving average periods, and the number of bars used in calculations.
How It Works
Volume Direction Calculation : Determines the price direction for each bar: Bullish : Closing price > Opening price; volume attributed to buying pressure. Bearish : Closing price < Opening price; volume attributed to selling pressure. Delta Volume Calculation : Computes the difference between buying and selling volumes to obtain the delta volume for each bar. Cumulative Delta Volume : Calculates the cumulative sum of delta volumes over a specified number of bars (user-defined), focusing on recent market activity. Moving Average Application : Applies a moving average to the cumulative delta volume to smooth out short-term fluctuations and highlight underlying trends. Signal Generation with Thresholds : Threshold Levels : User-defined thresholds identify significant changes in market pressure. Buy Signal : Triggered when the cumulative delta volume crosses above the positive threshold and is above its moving average. Sell Signal : Triggered when the cumulative delta volume crosses below the negative threshold and is below its moving average. Multi-Timeframe Filtering : Timeframe Selection : Traders can select multiple higher timeframes (e.g., 15 min, 30 min, 1 hr, 4 hr) via checkboxes. Signal Aggregation : The indicator aggregates signals from the selected timeframes. Final Signal Generation : A buy or sell signal is generated only if it is present on the current timeframe and at least one of the selected higher timeframes.
How to Use
1. Indicator Settings
Max Bars : Sets the maximum number of bars for cumulative delta volume calculation. A smaller number increases responsiveness by focusing on recent activity. Moving Average Period : Adjusts the period for the moving average applied to the cumulative delta volume. A shorter period increases sensitivity; a longer period smooths out noise. Signal Threshold : Defines the minimum delta volume required to generate a signal. Higher thresholds filter out minor fluctuations. Timeframe Selection : Use the checkboxes to select higher timeframes for multi-timeframe analysis. Available timeframes include 15 min, 30 min, 1 hr, and 4 hr.
2. Interpreting the Signals
Buy Signal (Green Triangle Up) : Indicates potential bullish market pressure. Consider entering long positions when the signal appears. Sell Signal (Red Triangle Down) : Indicates potential bearish market pressure. Consider entering short positions or exiting long positions when the signal appears. Signal Confirmation : For higher reliability, ensure that the signal aligns across multiple timeframes. The signal is stronger when confirmed by selected higher timeframes.
3. Trading Strategies
Trend Following : Use the indicator to identify and follow prevailing market trends. Enter trades in the direction of the cumulative delta volume. Reversal Signals : Look for divergences between price movements and the OBPI to anticipate potential market reversals. Risk Management : Always implement appropriate stop-loss and take-profit levels. Combine the OBPI with sound risk management practices.
Best Practices
Combine with Other Indicators : Enhance signal reliability by using the OBPI alongside indicators like RSI, MACD, or support and resistance levels. Adjust Parameters : Test different settings in a demo account to find optimal parameters for your trading style and the specific asset. Market Conditions : Be mindful of market volatility and liquidity, as extreme conditions can affect indicator performance. Backtesting : Conduct thorough backtesting over historical data before applying the indicator to live trading.
Limitations
Approximation : The OBPI provides an approximation of market pressure and does not access actual order book data. Lag in Higher Timeframes : Signals from higher timeframes may lag, affecting the timeliness of combined signals. Complexity : Multi-timeframe features increase complexity and may impact performance on some platforms.
Conclusion
The Order Book Pressure Index (OBPI) offers traders a unique perspective by focusing on current price movements and volume. Its ability to filter false signals and incorporate multi-timeframe analysis makes it a valuable addition to any trading strategy. Remember to use it in conjunction with other analytical methods and always practice prudent risk management.
Disclaimer : Trading involves significant risk. The OBPI indicator is a tool to aid decision-making and does not guarantee profitable trades. Perform your own analysis and consider consulting a financial advisor before making trading decisions.
M-oscillator
Distance From moving averageDistance From Moving Average is designed to help traders visualize the deviation of the current price from a specified moving average. Users can select from four different types of moving averages: Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), and Hull Moving Average (HMA).
Key Features:
User-Friendly Input Options:
Choose the type of moving average from a dropdown menu.
Set the length of the moving average, with a default value of 200.
Custom Moving Average Calculations:
The script computes the selected moving average using the appropriate mathematical formula, allowing for versatile analysis based on individual trading strategies.
Distance Calculation:
The indicator calculates the distance between the current price and the chosen moving average, providing insight into market momentum. A positive value indicates that the price is above the moving average, while a negative value shows it is below.
Visual Representation:
The distance is plotted on the chart, with color coding:
Lime: Indicates that the price is above the moving average (bullish sentiment).
Red: Indicates that the price is below the moving average (bearish sentiment).
Customization:
Users can further customize the appearance of the plotted line, enhancing clarity and visibility on the chart.
This indicator is particularly useful for traders looking to gauge market conditions and make informed decisions based on the relationship between current prices and key moving averages.
RTI For Loop | viResearchRTI For Loop | viResearch
Conceptual Foundation and Innovation
The "RTI For Loop" script introduces a unique approach to analyzing market trends by leveraging the concept of Relative Trend Index (RTI) within a loop-based scoring system. The RTI measures the price's relative position between an upper and lower trend boundary, dynamically calculated using standard deviations. This provides a clearer picture of market momentum and trend strength. The scoring mechanism, which iterates through a specified range of values, offers a robust framework for detecting trend shifts and potential reversals with heightened accuracy. By incorporating trend sensitivity and length parameters, the script allows users to fine-tune the analysis according to market conditions, making it adaptable for various trading strategies.
Technical Composition and Calculation
The "RTI For Loop" script consists of several technical components designed to offer precise trend analysis. The upper and lower trends are calculated using the price's standard deviation, which creates dynamic boundaries for evaluating price movements. Users can adjust the sensitivity of the trend boundaries with a percentage input, allowing the script to respond to different market volatility levels. At the core of the script is a for-loop scoring system that evaluates whether the RTI is above or below a specified range of values. The score adjusts accordingly, helping to identify trend strength and momentum. Additionally, the script includes an Exponential Moving Average (EMA) applied to the score to smooth out fluctuations, providing a clearer trend signal.
Features and User Inputs
The script offers a variety of user inputs that can be adjusted to suit different trading environments. Trend Length defines the number of data points used to calculate the upper and lower trends, influencing the indicator's sensitivity to trend changes. Trend Sensitivity adjusts the percentage of price data used to define the upper and lower trend boundaries. Thresholds allow for customizable levels to detect uptrends and downtrends, enabling traders to control when signals are triggered. The EMA Length provides control over smoothing the RTI score, reducing noise and clarifying trends. Bar Color Settings offer optional visual cues that highlight trend direction by changing bar colors based on trend signals.
Practical Applications
The "RTI For Loop" script is ideal for traders who seek a more nuanced and dynamic analysis of market trends. It is particularly effective in detecting trend reversals, as the loop-based scoring system offers early identification of shifts in momentum. By evaluating the RTI across a range of values and applying EMA smoothing, the script helps confirm the strength and direction of trends. Its customizable inputs allow traders to adapt the indicator to various market conditions, making it suitable for both short-term and long-term strategies.
Advantages and Strategic Value
This script enhances traditional trend analysis by incorporating a loop-based scoring mechanism, reducing the likelihood of false signals and providing more reliable trend identification. The ability to dynamically adjust trend sensitivity based on market conditions makes it a versatile tool for traders aiming to improve their trend-following strategies. The RTI-based approach also provides deeper insights into market behavior, offering a more detailed view of price dynamics compared to simple moving averages or momentum indicators.
Summary and Usage Tips
The "RTI For Loop" script is a powerful tool that combines trend analysis, a for-loop scoring mechanism, and EMA smoothing to provide traders with a reliable method for detecting and confirming trends. By incorporating this indicator into your trading strategy, you can gain greater confidence in identifying trend shifts and managing trades more effectively. Traders can adjust the sensitivity and length parameters to adapt to different market conditions, ensuring that the indicator remains responsive to changing volatility and trends.
Note: Backtests are based on past results and are not indicative of future performance.
Mongoose multi time frame RSI quick glance w/alertsThis Pine Script helps you identify overbought and oversold conditions for any stock, index, or cryptocurrency you're monitoring, across three different time frames (daily, weekly, and monthly). It uses the Relative Strength Index (RSI) as the indicator for these conditions. Here’s a breakdown of what the script does and what it tells you:
Key Features:
RSI Indicator:
The script calculates the RSI for three different timeframes: daily, weekly, and monthly.
RSI is a momentum oscillator that measures the speed and change of price movements, typically on a scale from 0 to 100:
Overbought: RSI > 70 (This could indicate the asset is overvalued and may see a price correction).
Oversold: RSI < 30 (This could indicate the asset is undervalued and may see a price rebound).
Color-Coded Background:
The script visually highlights overbought and oversold conditions by coloring the chart background:
Blue for Daily overbought/oversold.
Green for Weekly overbought/oversold.
Red for Monthly overbought/oversold.
Overbought areas will have the colored background whenever the RSI is above 70.
Oversold areas will have the colored background when the RSI drops below 30.
Multiple Timeframes:
The script checks these overbought and oversold levels on three timeframes (daily, weekly, and monthly) simultaneously, giving you a broad view of the market’s momentum.
This helps you determine whether a price movement is part of a short-term fluctuation (daily), a mid-term trend (weekly), or a long-term cycle (monthly).
Alerts:
If the RSI crosses the overbought or oversold threshold for any of these timeframes, the script will trigger an alert.
The alert message includes the name of the stock or cryptocurrency and the timeframe in which the condition occurred (e.g., "Daily Overbought").
How to Use This Information:
Trading Decisions: You can use this script to help decide when to enter or exit trades based on whether an asset is overbought or oversold in different timeframes.
Buy Signal: When RSI is oversold (below 30) and you expect a price rebound.
Sell Signal: When RSI is overbought (above 70) and you expect a price correction.
Long-Term vs Short-Term: By analyzing the three timeframes, you can tailor your strategy to short-term trades (daily RSI) or longer-term investments (weekly or monthly RSI).
In essence, this script gives you a multi-timeframe RSI-based view of potential reversal points in the market, visually coded for clarity, and alerts you when those levels are hit across different timeframes.
Pi Cycle Top & Bottom Indicator [InvestorUnknown]The Pi Cycle Top & Bottom Indicator is designed for long-term cycle analysis, particularly useful for detecting significant market tops and bottoms in assets like Bitcoin. By comparing the behavior of two moving averages, one with a shorter period (default 111) and the other with a longer period (default 350), the indicator helps investors identify potential turning points in the market.
Key Features:
Dual Moving Average System:
The indicator uses two moving averages (MA) to create a cyclic oscillator. The shorter moving average (Short Length MA) is more reactive to recent price changes, while the longer moving average (Long Length MA) smooths out long-term trends. Users can select between:
Simple Moving Average (SMA): A straightforward average of closing prices.
Exponential Moving Average (EMA): Places more weight on recent prices, making it more responsive to market changes.
Oscillator Mode Options:
The Pi Cycle Indicator offers two modes of oscillation to better suit different analysis styles:
RAW Mode: This mode calculates the raw ratio of the Short MA to the Long MA, offering a simple comparison of the two averages.
LOG(X) Mode: In this mode, the oscillator takes the natural logarithm of the Short MA to Long MA ratio. This transformation compresses extreme values and highlights relative changes more effectively, making it particularly useful for spotting shifts in long-term trends.
Cyclical Analysis:
The core of the Pi Cycle Indicator is its ability to visualize the relationship between the two moving averages. The ratio of the Short MA to the Long MA is plotted as an oscillator. When the oscillator crosses above or below a baseline (which is 1 for RAW mode and 0 for LOG(X) mode), it signals potential market turning points.
Visual Representation:
The indicator provides a clear visual display of market conditions:
Orange Line: Represents the Pi Cycle Oscillator, which shows the relationship between the short and long moving averages.
Gray Baseline: A reference line that dynamically adjusts based on the oscillator mode. Crosses above or below this line help indicate possible trend reversals.
Shaded Areas: Color-filled areas between the oscillator and the baseline, which are shaded green when the market is bullish (oscillator above baseline) and red when bearish (oscillator below baseline). This provides a visual cue to assist in identifying potential market tops and bottoms.
Use Cases:
The Pi Cycle Top & Bottom Indicator is primarily used in long-term market analysis, such as Bitcoin cycles, to identify significant tops and bottoms. These moments often coincide with large cyclical shifts, making it valuable for those aiming to enter or exit positions at key moments in the market cycle.
By analyzing the interaction between short-term and long-term trends, investors can gain insight into broader market dynamics and make more informed decisions regarding entry and exit points. The ability to switch between moving average types (SMA/EMA) and oscillator modes (RAW/LOG) adds flexibility for adapting to different market environments.
MTF Squeeze Analyzer - [tradeviZion]MTF Squeeze Analyzer
Multi-Timeframe Squeeze Pro Analyzer Tool
Overview:
The MTF Squeeze Analyzer is a comprehensive tool designed to help traders monitor the TTM Squeeze indicator across multiple timeframes in a streamlined and efficient manner. Built with Pine Script™ version 5, this indicator enhances your market analysis by providing detailed insights into squeeze conditions and momentum shifts, enabling you to make more informed trading decisions.
Key Features:
1. Multi-Timeframe Monitoring:
Comprehensive Coverage: Track squeeze conditions across multiple timeframes, including 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 2-hour, 4-hour, and daily charts.
Squeeze Counts: Keep count of the number of consecutive bars the price has been within each squeeze level (low, mid, high), helping you assess the strength and duration of consolidation periods.
2. Dynamic Table Display:
Customizable Appearance: Adjust table position, text size, and colors to suit your preferences.
Color-Coded Indicators: Easily identify squeeze levels and momentum shifts with intuitive color schemes.
Message Integration: Features rotating messages to keep you engaged and informed.
3. Alerts for Key Market Events:
Squeeze Start and Fire Alerts: Receive notifications when a squeeze starts or fires on your selected timeframes.
Custom Squeeze Count Alerts: Set thresholds for squeeze counts and get alerted when these levels are reached, allowing you to anticipate potential breakouts.
Fully Customizable: Choose which alerts you want to receive and tailor them to your trading strategy.
4. Momentum Analysis:
Momentum Oscillator: Visualize momentum using a histogram that changes color based on momentum shifts.
Detailed Insights: Determine whether momentum is increasing or decreasing to make more strategic trading decisions.
How It Works:
The indicator is based on the TTM Squeeze concept, which identifies periods of low volatility where the market is "squeezing" before a potential breakout. It analyzes the relationship between Bollinger Bands and Keltner Channels to determine squeeze conditions and uses linear regression to calculate momentum.
1. Squeeze Levels:
No Squeeze (Green): Market is not in a squeeze.
Low Compression Squeeze (Gray): Mild consolidation, potential for a breakout.
Mid Compression Squeeze (Red): Moderate consolidation, higher breakout potential.
High Compression Squeeze (Orange): Strong consolidation, significant breakout potential.
2. Squeeze Counts:
Tracks the number of consecutive bars in each squeeze condition.
Helps identify how long the market has been consolidating, providing clues about potential breakout timing.
3. Momentum Histogram:
Upward Momentum: Shown in aqua or blue, indicating increasing or decreasing upward momentum.
Downward Momentum: Displayed in red or yellow, representing increasing or decreasing downward momentum.
Using Alerts:
Stay ahead of market movements with customizable alerts:
1. Enable Alerts in Settings:
Squeeze Start Alert: Get notified when a new squeeze begins.
Squeeze Fire Alert: Be alerted when a squeeze ends, signaling a potential breakout.
Squeeze Count Alert: Set a specific number of bars for a squeeze condition, and receive an alert when this count is reached.
2. Set Up Alerts on Your Chart:
Click on the indicator name and select " Add Alert on MTF Squeeze Analyzer ".
Choose your desired alert conditions and customize the notification settings.
Click " Create " to activate the alerts.
How to Set It Up:
1. Add the Indicator to Your Chart:
Search for " MTF Squeeze Analyzer " in the TradingView Indicators library.
Add it to your chart.
2. Customize Your Settings:
Table Display:
Choose whether to show the table and select its position on the chart.
Adjust text size and colors to enhance readability.
Timeframe Selection:
Select the timeframes you want to monitor.
Enable or disable specific timeframes based on your trading strategy.
Colors & Styles:
Customize colors for different squeeze levels and momentum shifts.
Adjust header and text colors to match your chart theme.
Alert Settings:
Enable alerts for squeeze start, squeeze fire, and squeeze counts.
Set your preferred squeeze type and count threshold for alerts.
3. Interpret the Data:
Table Information:
The table displays the squeeze status and counts for each selected timeframe.
Colors indicate the type of squeeze, making it easy to assess market conditions at a glance.
Momentum Histogram:
Use the histogram to gauge the strength and direction of market momentum.
Observe color changes to identify shifts in momentum.
Why Use MTF Squeeze Analyzer ?
Enhanced Market Insight:
Gain a deeper understanding of market dynamics by monitoring multiple timeframes simultaneously.
Identify potential breakout opportunities by analyzing squeeze durations and momentum shifts.
Customizable and User-Friendly:
Tailor the indicator to fit your trading style and preferences.
Easily adjust settings without needing to delve into the code.
Time-Efficient:
Save time by viewing all relevant squeeze information in one place.
Reduce the need to switch between different charts and timeframes.
Stay Informed with Alerts:
Never miss a critical market movement with fully customizable alerts.
Focus on other tasks while the indicator monitors the market for you.
Acknowledgment:
This tool builds upon the foundational work of John Carter , who developed the TTM Squeeze concept. It also incorporates enhancements from LazyBear and Makit0 , providing a more versatile and powerful indicator. MTF Squeeze Analyzer extends these concepts by adding multi-timeframe analysis, squeeze counting, and advanced alerting features, offering traders a comprehensive solution for market analysis.
Note: Always practice proper risk management and test the indicator thoroughly to ensure it aligns with your trading strategy. Past performance is not indicative of future results.
Trade smarter with TradeVizion—unlock your trading potential today!
COT INDEXING | OPEN INTEREST [DIGGERDOG]COT INDEXING | OPEN INTEREST
This Pine Script for TradingView, titled **"COT INDEXING | OPEN INTEREST "**, is designed to analyze and visualize the **Open Interest (OI)** in conjunction with **COT (Commitment of Traders) data**. It calculates and plots an Open Interest index across multiple timeframes and highlights extreme values to help identify overbought or oversold market conditions.
Key Features:
1. **COT Data Retrieval**:
- The script fetches Open Interest from the **Legacy COT Report**.
- Open Interest data is also retrieved, representing the number of active contracts on the market. This is a key indicator of market participation.
2. **Multi-Timeframe Open Interest Index Calculation**:
- The script calculates the **Open Interest Index** across multiple timeframes (e.g., 26, 52, 156 weeks). For each timeframe, it calculates:
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- The index values show where the current Open Interest stands relative to historical extremes (high and low) over each timeframe.
3. **Extreme Value Highlighting**:
- The script highlights extreme values by marking Open Interest values above a user-defined **extreme high threshold** and below an **extreme low threshold**.
- **Red background**: Indicates Open Interest is above the extreme high threshold (potentially overbought).
- **Green background**: Indicates Open Interest is below the extreme low threshold (potentially oversold).
4. **Visualizations**:
- The script plots the **Open Interest Index** for each timeframe as a line chart.
- It also includes horizontal reference lines at 80, 50, and 20, representing typical thresholds for overbought, neutral, and oversold conditions.
5. **Customizable Inputs**:
- **Timeframes**: Users can define the time periods for the Open Interest Index calculation (e.g., 26, 52, 156 weeks).
- **Extreme Thresholds**: The **high** and **low** thresholds can be adjusted to customize the extreme levels for overbought or oversold signals.
- **Color Settings**: Colors for the plot lines and background can be customized for better visualization.
How It Works:
1. **Open Interest Index Calculation**:
- The script calculates the Open Interest Index for three different timeframes (e.g., short-term, medium-term, long-term). Each index is plotted to show how the current Open Interest compares to historical values.
2. **Extreme Value Highlighting**:
- The background color of the chart changes based on whether the Open Interest Index crosses above or below the user-defined extreme thresholds. This helps visually identify potentially overbought or oversold conditions.
3. **Multi-Timeframe Analysis**:
- By calculating the index over multiple timeframes, traders can gain insights into both short-term and long-term trends in Open Interest. This helps identify whether recent Open Interest changes are part of a larger trend or just short-term fluctuations.
Usage:
- **Market Sentiment Analysis**: Open Interest is a measure of market participation, and changes in OI can indicate shifts in market sentiment. For example, rising Open Interest during a price increase suggests a strong trend, while falling Open Interest may signal weakening momentum.
- **Trend Confirmation**: When Open Interest is rising alongside price trends, it confirms that new participants are entering the market. Conversely, falling OI during price movements suggests that the trend might lack strength.
- **Overbought/Oversold Identification**: The extreme thresholds help identify when the Open Interest has reached levels that might signal an overbought or oversold market, indicating a potential reversal.
### Example Use Case:
- A trader could use this script to monitor whether the market is gaining or losing participation (via Open Interest) as the price of a commodity moves. If Open Interest is rising along with price, this suggests a strong trend. If Open Interest starts to fall while the price rises, it could signal that the trend is running out of steam.
### Customizable Features:
- **Timeframe Adjustments**: The user can set different timeframes (e.g., short, medium, long-term) for the Open Interest Index calculation.
- **Extreme Thresholds**: Define custom thresholds for overbought and oversold conditions to suit your trading strategy. (only timeframe 1)
- **Color and Visual Settings**: Adjust the colors of the plots and background to better fit your charting style. (only timeframe 1)
This script provides a clear visual representation of Open Interest trends across multiple timeframes and highlights potential market turning points based on extreme levels in Open Interest. By integrating this with price analysis, traders can get a better sense of market momentum and strength.
UNDERWATER EQUITY INDEX [DIGGERDOG]UNDERWATER EQUITY INDEX
This TradingView Pine Script titled **"UNDERWATER EQUITY INDEX "** displays the percentage drawdown of an equity curve and calculates an RSI-based oscillator based on the drawdown. The oscillator is smoothed and presented with optimized colors to visually highlight bullish, bearish, and potential reversal trends.
Script Explanation:
1. **Variable Initialization:**
- `highestEquity`: This variable stores the highest value of the equity curve.
- `underwaterEquity`: This variable stores the current drawdown, calculated as a percentage relative to the highest equity value.
2. **Equity Curve:**
- The script uses the closing price (`close`) as a placeholder for the equity curve. In a real-world application, this could be replaced with an actual equity curve.
3. **Highest Equity Calculation:**
- The `highestEquity` is updated as the highest recorded equity value. If the variable is uninitialized (`na`), it is set to the current equity value.
4. **Drawdown Calculation:**
- The drawdown is calculated as the percentage difference between the current equity and the highest recorded equity value.
5. **RSI-Based Oscillator:**
- The oscillator (`osc`) is calculated using the RSI (Relative Strength Index) over a 13-period window based on the drawdown and is smoothed using a simple moving average (SMA) over 9 periods.
6. **Plot Colors:**
- **Green**: Bullish trend (equity increasing above the zero line).
- **Orange**: Warning signal (falling trend above the zero line).
- **Blue**: Potential bullish reversal (rising trend below the zero line).
- **Red**: Bearish trend (falling trend below the zero line).
7. **Plotting the Oscillator:**
- The smoothed oscillator is plotted as a line with the color codes mentioned above.
8. **Threshold Lines:**
- Three horizontal lines at 30, 50, and 70 indicate extreme points (30 and 70 signal oversold and overbought conditions, respectively).
9. **Marking Extremes:**
- When enabled, the script marks extreme values in the oscillator with a green background when the value exceeds 60 (potentially overbought) and a red background when it falls below 40 (potentially oversold).
Usage:
- **Drawdown Analysis**: Track drawdowns in the equity curve to assess risk performance.
- **Trend and Reversal Signals**: The smoothed RSI-based oscillator indicates potential bullish or bearish phases, including warning signals for possible reversals.
- **Visualization of Extremes**: Utilize the background highlighting of extreme oscillator values to immediately recognize overbought or oversold conditions.
This script is useful for monitoring risk and drawdowns while visually presenting key trend information. If you have further questions or need adjustments, feel free to let me know!
OBV OSCILLATOR [DIGGERDOG]OBV OSCILLATOR
This Pine Script for TradingView titled "OBV OSCILLATOR " is designed to plot the On-Balance Volume (OBV) Oscillator with both a smoothed and an unsmoothed version, allowing you to visualize trends in volume flow. It also highlights bullish and bearish zones with background colors and shows key levels on the chart.
Here’s a breakdown of the script’s functionality:
### **Inputs:**
- **OBV Normalization Period** (`obvLength`): Default is 14 periods for the calculation of the highest and lowest OBV values.
- **OBV Smoothing** (`obvSmoothing`): Default is 9 periods, applying a moving average to smooth the OBV values.
- **OBV Upper Limit** (`obvUpperLimit`): Default is 50, used to determine bullish zones.
- **OBV Lower Limit** (`obvLowerLimit`): Default is 50, used to determine bearish zones.
### **Calculations:**
- **OBV (On-Balance Volume):**
- The script calculates cumulative OBV using the formula `ta.cum(close > close ? volume : close < close ? -volume : 0)`.
- **OBV Oscillator:**
- The OBV is normalized by calculating its position between the highest and lowest OBV values over the given period (`obvLength`).
- Formula: `obvOscillator = 100 * (obv - obvMin) / (obvMax - obvMin)`, which scales the OBV between 0 and 100.
- **Smoothed OBV:**
- The OBV is further smoothed using a simple moving average (SMA) over the `obvSmoothing` period.
- A separate OBV Oscillator is then calculated for the smoothed OBV using the same normalization formula.
### **Visuals:**
- **OBV Oscillator and Smoothed OBV:**
- The unsmoothed OBV Oscillator is plotted in **blue**.
- The smoothed OBV Oscillator is plotted in **red** with some transparency for easier differentiation.
- **Background Color:**
- The background turns **light green** when the OBV Oscillator is above the upper limit (bullish).
- The background turns **light red** when the OBV Oscillator is below the lower limit (bearish).
- **Key Levels:**
- A **gray dotted line** represents the middle value (50).
- **Green and red dotted lines** represent the upper and lower OBV limits, respectively.
### **Usage:**
- Use the OBV Oscillator to identify strong trends based on volume flow.
- The smoothed OBV Oscillator helps filter out noise and offers a more stable trend signal.
- The background color changes provide quick visual cues for bullish and bearish conditions.
If you need further modifications or explanation, feel free to ask!
Trend CCITrend CCI (TCCI) Indicator
Description:
The Trend CCI (TCCI) indicator is a unique combination of the Commodity Channel Index (CCI) and the Average True Range (ATR), designed to identify trends and market reversals with a refined sensitivity to price volatility. The indicator plots the CCI, adjusted by an ATR filter, and color-codes the trendline to signal uptrends and downtrends.
How It Works:
This indicator uses the CCI to measure price momentum and an ATR-based filter to smooth out market noise, making it easier to detect significant shifts in the market trend. Key parameters such as the ATR Period, ATR Multiplier, and CCI Period have been carefully chosen to optimize the indicator's performance:
1. ATR Period (default: 18)
The ATR Period determines the number of periods used to calculate the **Average True Range**, which reflects market volatility. In this case, an **ATR Period of 18** has been selected for several reasons:
Balance between responsiveness and noise reduction : A period of 18 strikes a balance between being responsive to recent price movements and filtering out minor fluctuations. Shorter ATR periods might be too reactive, creating false signals, while longer periods might miss shorter-term trends.
Adaptable to various market conditions : An 18-period ATR is suitable for both intraday and swing trading strategies, making it versatile across different time frames.
Standard industry practice : Many traders use ATR settings between 14 and 20 periods as a convention for detecting reliable volatility levels.
2. ATR Multiplier (default: 1.5)
The ATR Multiplier is applied to the ATR value to define how sensitive the indicator is to volatility. In this case, a multiplier of 1.5 has been chosen:
Avoiding whipsaws in low volatility markets: By setting the multiplier to 1.5, the indicator filters out smaller, less significant price movements, reducing the likelihood of whipsaw signals (i.e., false trend reversals during periods of low volatility).
Optimizing signal accuracy: A moderate multiplier like 1.5 ensures that the indicator only generates signals when the price moves a significant distance from the average range. Higher multipliers (e.g., 2.0) may ignore valid opportunities, while lower multipliers (e.g., 1.0) might create too many signals.
Enhancing trend clarity : The multiplier’s role in widening the range allows the indicator to respond more clearly during periods of strong trends, reducing signal noise and false positives.
3. CCI Period (default: 63)
The CCI Period defines the number of periods used to calculate the Commodity Channel Index. A 63-period CCI is selected based on the following considerations:
Smoothing the momentum calculation: A longer period, such as 63, is used to smooth out the CCI and reduce the effects of short-term price fluctuations. This period captures longer-term momentum, making it ideal for identifying more significant market trends.
-Filtering out short-term noise: While shorter CCI periods (e.g., 14 or 20) may be more reactive, they tend to produce more signals, some of which may be false. A 63-period CCI focuses on stronger and more sustained price movements, providing fewer but higher-quality signals.
Adapted to intermediate trading: A 63-period CCI aligns well with traders looking for medium-term trend-following strategies, striking a balance between long-term trend identification and responsiveness to significant price shifts.
How to Use:
Green Area: When the trendline turns green, it signals that the CCI is positive, reflecting upward momentum. This can be interpreted as a buy signal, indicating the potential for long positions or continuing bullish trades.
Red Area: When the trendline turns red, it signals that the CCI is negative, reflecting downward momentum. This can be interpreted as a sell signal, indicating potential short positions or bearish trades.
ATR Filter: The ATR helps reduce false signals by ignoring minor price movements. Traders can adjust the ATR Multiplier to make the indicator more or less sensitive based on market conditions. A lower multiplier (e.g., 1.2) may increase signal frequency, while a higher multiplier (e.g., 2.0) reduces it.
Originality:
The Trend CCI (TCCI) stands out due to its combination of the CCI and ATR. While many indicators simply plot raw CCI values, this script enhances the CCI’s effectiveness by incorporating an ATR-based volatility filter. This ensures that only significant trends trigger signals, making it a more reliable tool in volatile markets. The choice of the ATR period, multiplier, and CCI period ensures a refined balance between trend detection and noise reduction, distinguishing it as a powerful trend-following indicator.
Additionally, the visual aspect—using color-coded trendlines that dynamically shift between green and red—simplifies the interpretation of market trends, offering traders a clear and immediate understanding of trend direction and momentum strength.
Final Recommendations:
Use in Trending Markets The TCCI is most effective in trending markets, where its signals align with broader market momentum. In sideways or low-volatility markets, consider adjusting the ATR multiplier or using other complementary indicators to confirm the signals.
Risk Management: Always integrate robust risk management practices, such as using stop-loss orders and position sizing, to protect against sudden market reversals or periods of heightened volatility.
Adjust for Volatility: Consider the volatility of the asset being traded. In highly volatile assets, a higher ATR multiplier (e.g., 2.0) may be necessary to filter out noise, while in more stable assets, a lower multiplier (e.g., 1.2) might generate earlier signals.
By using the Trend CCI (TCCI) indicator with a deeper understanding of its key parameters, traders can better identify trends, reduce noise, and improve their overall decision-making in the markets.
Good Profits!
Log Know Sure ThingThe Know Sure Thing indicator (KST) is a momentum based oscillator. KST is based on Rate of Change (ROC). Know Sure Thing takes four different timeframes of ROC and smooth's them out using Simple Moving Averages. KST then calculates a final value that fluctuates between positive and negative values above and below a Zero Line. There is also a signal line which is an SMA of the KST line itself. Essentially, the Know Sure Thing Indicator measures the momentum of four separate price cycles. Technical Analysts use this information to spot divergences, overbought and oversold conditions and crossovers.
KST takes the Rate of Change for four different time periods, smooth's them out with moving averages, weights them and then sums the results. The intention is to get a better understanding of the momentum for a particular security of financial instrument. The general rule is that when KST is positive, then momentum is up and when KST is negative, then momentum is down. This would translate to Bullish and Bearish markets respectively.
The original Know Sure Thing indicator (KST) was developed by Martin Pring and introduced in 1992 in Stocks & Commodities Magazine. He originally referred to the indicator as the Summed Rate of Change.
This version of the indicator "Log Know Sure Thing" (L-KST) was developed by me as a refined solution to the original. Exponential charts like Bitcoin need exponential calculations. Simplistic approaches don't work in today's world. This indicator manages to adapt in all kinds of scenarios...
From negative charts:
(notice that the original KST breaks)
To extreme charts:
(again, the original doesn't manage to capture the Bitcoin oscillation)
If you are not familiar with KST, read the following analysis:
www.tradingview.com
For a following version of this indicator I plan to incorporate actual overbought-oversold levels (if this doesn't mark the 20th).
Contrary to the original, this version of KST is bound to specific levels.
Stay tuned for that, it won't take long...
Tread lightly, for this is no-mans-land.
Use caution when using contraband indicators.
-Father Akikostas
Optimized Comprehensive Analysis Table# Enhanced Comprehensive Analysis Table
This advanced indicator provides a holistic view of market sentiment by analyzing multiple technical indicators simultaneously. It's designed to give traders a quick, at-a-glance summary of market conditions across various timeframes and analysis methods.
## Key Features:
- Analyzes 9 popular technical indicators
- Weighted voting system for overall market sentiment
- Customizable indicator weights
- Clear, color-coded table display
## Indicators Analyzed:
1. MACD (Moving Average Convergence Divergence)
2. RSI (Relative Strength Index)
3. Moving Averages (50, 100, 200-period)
4. Stochastic Oscillator
5. Parabolic SAR
6. MFI (Money Flow Index)
7. CCI (Commodity Channel Index)
8. OBV (On Balance Volume)
9. ADX (Average Directional Index)
## How It Works:
Each indicator's signal is calculated and classified as bullish, bearish, or neutral. These signals are then weighted according to user-defined inputs. The weighted votes are summed to determine an overall market sentiment.
## Interpretation:
- The table displays the state of each indicator and the overall market sentiment.
- Green indicates bullish conditions, red bearish, and yellow neutral.
- The "Overall State" row at the bottom provides a quick summary of the combined analysis.
## Customization:
Users can adjust the weight of each indicator to fine-tune the analysis according to their trading strategy or market conditions.
This indicator is ideal for traders who want a comprehensive overview of market conditions without having to monitor multiple indicators separately. It's particularly useful for confirming trade setups, identifying potential trend reversals, and managing risk.
Note: This indicator is meant to be used as part of a broader trading strategy. Always combine with other forms of analysis and proper risk management.
[GL3] SMA & EMA Crossover Ribbon with Reactive Gradient CloudsGL3] SMA & EMA Crossover Ribbon with Reactive Gradient Clouds
This indicator provides a powerful blend of technical analysis tools, integrating multiple moving averages, such as Simple Moving Average (SMA) and Exponential Moving Average (EMA), along with custom moving averages like Kaufman's Adaptive Moving Average (KAMA), Jurik Moving Average (JMA), and others. The crossover strategy aims to identify trend changes with precision across different timeframes.
Key Features:
Crossover Ribbon: A set of 5 moving average pairs to capture short-, mid-, and long-term trends. The crossover between the leading and trigger lines visually indicates potential buy (uptrend) and sell (downtrend) signals.
Reactive Gradient Clouds: Dynamically color-coded clouds that visualize momentum shifts using Stochastic, RSI, MACD, and Chande Momentum. These clouds help to react faster to price changes and confirm trends:
Stochastic Cloud: Blue for bullish and Orange for bearish trends.
RSI Cloud: Purple for bullish and Yellow for bearish trends.
MACD Cloud: Green for bullish and Red for bearish trends.
Chande Momentum Cloud: Aqua for bullish and Fuchsia for bearish trends.
Alerts: Custom alerts for significant crossovers in Stochastic, RSI, MACD, and Chande Momentum, allowing traders to stay informed of potential trend reversals.
Customizable Inputs: Flexible configuration for various moving averages, lengths, and source types, along with options to show/hide gradient clouds for each momentum indicator.
This indicator is designed for traders looking to capture multiple levels of trend direction and momentum shifts. The combination of crossovers and clouds provides a clear trend direction and quicker reaction to market moves, making it a versatile tool for various trading strategies.
Disclaimer: Past performance is not indicative of future results. Always use additional risk management tools and trade responsibly
RCI-CCI-Stochastics SmoothRCI-CCI-Stochastics Smooth - (日本語解説は下記)
Overview:
The RCI-CCI-Stochastics Smooth indicator combines three popular oscillators—RCI (Rank Correlation Index), CCI (Commodity Channel Index), and Stochastics—into a single, smoothed, and performance-optimized tool. Due to the complexity of RCI calculations, adding multiple lines or applying smoothing can often slow down the display or even cause errors. This indicator overcomes these challenges by limiting the display area based on the current timeframe, ensuring smooth performance without sacrificing functionality.
Key Features:
1. Rank Correlation Index (RCI)
Multiple Periods with Smoothing: Calculates RCI for six different periods—8, 10, 20, 30, 52, and 60—providing both short-term and long-term trend analysis.
Double Smoothing: Applies double exponential moving averages (EMAs) to smooth the RCI lines, making them more readable and reducing noise.
Adaptive Display Limitation: To prevent performance issues, the indicator limits the display area based on the current timeframe, ensuring that calculations remain efficient even with multiple smoothed lines.
2. Commodity Channel Index (CCI)
Fixed Source and EMA Period: Calculates the CCI using a fixed source (close price) and a fixed EMA period (3), ensuring consistency in the smoothing process.
Smoothed Output: Applies an EMA to the CCI to produce a smoother line that is easier to interpret.
3. Stochastics Oscillator
Customizable Parameters: Allows you to set the %K, %D, and EMA smoothing periods.
Scaled Display: Adjusts the Stochastics values to align with the -100 to 100 scale used by the RCI and CCI for easier comparison.
Gradient Fill: Provides a visual gradient fill between overbought and oversold levels, enhancing the visual appeal and interpretability.
How It Works:
Performance Optimization:
Display Limitation: The indicator calculates a dynamic display limit (adjusted_limit) based on the current timeframe. This limit reduces the number of bars for which the indicator performs calculations, significantly improving performance.
Time-Based Calculation: Only computes values if the current time is within the calculated start_time, ensuring that the script doesn't waste resources on unnecessary calculations.
Smoothing Techniques:
Double EMA Smoothing: Applies a double EMA to the RCI lines, which helps in reducing volatility and making the trends more apparent.
Consistent Smoothing: Uses fixed EMA lengths for smoothing the CCI and Stochastics, providing a consistent smoothing effect across different oscillators.
How to Use:
Setup:
Add the Indicator: Apply the "RCI-CCI-Stochastics Smooth" indicator to your chart.
Configure Periods: Adjust the periods for RCI, CCI, and Stochastics according to your trading strategy.
Understand Display Limitations: Be aware that the indicator limits the display area to enhance performance. You can adjust the 表示制限値 (Display Limit) parameter if needed.
Interpretation:
RCI Lines: Use the multiple RCI lines to assess market trends across different timeframes. The smoothed lines make it easier to spot trend changes.
CCI Line: Monitor the smoothed CCI line for identifying overbought and oversold conditions.
Stochastics: Utilize the scaled Stochastics oscillator to confirm momentum and potential reversal points.
Tips:
Adjust Display Limit Carefully: Increasing the display limit may impact performance. Find a balance that suits your needs without overloading the system.
Combine with Other Indicators: Use this indicator in conjunction with price action and other technical indicators for more robust analysis.
Cautions and Disclaimer:
Indicator Limitations:
Performance Trade-Off: While the indicator optimizes performance through display limitations, extremely high settings may still cause slowdowns or errors.
Data Accuracy: Ensure that your data source is reliable to maintain the accuracy of the indicator.
Trading Responsibility:
Self-Responsibility: This indicator is a tool to assist in trading decisions. The final investment decision should be made at your own risk.
Risk Management: Trading involves risks, and losses may occur. Please perform appropriate risk management.
Summary:
The RCI-CCI-Stochastics Smooth indicator offers a comprehensive view of market momentum and trends by combining multiple oscillators into a single, smoothed display. Its performance optimization ensures that you can use advanced smoothing techniques and multiple lines without compromising your system's speed or encountering errors. This makes it a valuable tool for traders seeking detailed technical analysis without the usual performance drawbacks.
日本語解説
概要:
RCI-CCI-Stochastics Smoothインジケーターは、RCI（順位相関指数）、CCI（商品チャンネル指数）、ストキャスティクスという3つの人気オシレーターを一つにまとめ、スムーズかつパフォーマンス最適化されたツールとして提供します。RCIの計算は複雑で、通常はラインを増やしたりスムージングを適用すると表示が遅くなったり、エラーが発生することがあります。このインジケーターでは、表示領域を時間軸に基づいて制限することで、機能性を損なうことなくスムーズなパフォーマンスを実現しています。
主な機能:
1. RCI（順位相関指数）
・複数期間の計算とスムージング: 8、10、20、30、52、60という6つの異なる期間のRCIを計算し、短期から長期までのトレンド分析が可能です。
・ダブルスムージング: RCIラインにダブルの指数移動平均（EMA）を適用し、ノイズを減らし読みやすくしています。
・動的な表示制限: パフォーマンス問題を防ぐため、現在の時間軸に基づいて表示領域を制限し、複数のスムーズなラインでも効率的な計算を可能にします。
2. CCI（商品チャンネル指数）
・固定ソースとEMA期間: CCIの計算には固定されたソース（終値）と固定されたEMA期間（3）を使用し、一貫性のあるスムージングを実現します。
・スムーズな出力: CCIにEMAを適用し、読み取りやすい滑らかなラインを生成します。
3. ストキャスティクス・オシレーター
・カスタマイズ可能なパラメータ: %K、%D、EMAスムージング期間を設定できます。
・スケーリング表示: ストキャスティクスの値をRCIやCCIで使用される-100から100のスケールに合わせ、比較しやすくしています。
・グラデーション塗りつぶし: 買われすぎ・売られすぎのレベル間にグラデーションの塗りつぶしを提供し、視覚的な解釈を強化します。
動作の仕組み:
パフォーマンスの最適化:
・表示制限: インジケーターは現在の時間軸に基づいて動的な表示制限（adjusted_limit）を計算します。この制限により、計算を行うバーの数を減らし、パフォーマンスを大幅に向上させます。
・時間ベースの計算: 現在の時間が計算されたstart_time内にある場合にのみ値を計算し、不要な計算でリソースを無駄にしないようにします。
スムージング技術:
・ダブルEMAスムージング: RCIラインにダブルのEMAを適用し、ボラティリティを減少させ、トレンドを明確にします。
・一貫したスムージング: CCIやストキャスティクスに固定されたEMA長を使用し、オシレーター間で一貫したスムージング効果を提供します。
使い方:
セットアップ:
インジケーターの追加: チャートに「RCI-CCI-Stochastics Smooth」インジケーターを適用します。
期間の設定: ご自身のトレード戦略に合わせて、RCI、CCI、ストキャスティクスの期間を調整します。
表示制限の理解: パフォーマンスを向上させるため、インジケーターは表示領域を制限しています。必要に応じて表示制限値パラメータを調整できます。
解釈:
・RCIライン: 複数のRCIラインを使用して、さまざまな時間枠での市場トレンドを評価します。スムーズなラインにより、トレンドの変化を見つけやすくなります。
・CCIライン: スムーズなCCIラインを監視し、買われすぎや売られすぎの状態を特定します。
・ストキャスティクス: スケーリングされたストキャスティクス・オシレーターを利用して、モメンタムや潜在的な反転ポイントを確認します。
ヒント:
・表示制限は慎重に調整: 表示制限を増やすとパフォーマンスに影響を与える可能性があります。ニーズに合ったバランスを見つけ、システムに負荷をかけないようにしましょう。
・他のインジケーターと組み合わせる: このインジケーターを価格アクションや他のテクニカル指標と組み合わせて、より堅牢な分析を行います。
注意事項と免責事項:
インジケーターの制限:
・パフォーマンスのトレードオフ: インジケーターは表示制限によってパフォーマンスを最適化していますが、極端に高い設定では依然として遅延やエラーが発生する可能性があります。
・データの正確性: データソースが信頼できることを確認し、インジケーターの精度を維持してください。
トレード責任:
・自己責任: このインジケーターはトレードの補助ツールであり、最終的な投資判断はご自身の責任で行ってください。
・リスク管理: 市場にはリスクが伴い、損失が発生する可能性があります。適切なリスク管理を行ってください。
まとめ:
RCI-CCI-Stochastics Smoothインジケーターは、複数のオシレーターを一つにまとめ、滑らかな表示で市場のモメンタムやトレンドを包括的に把握できます。パフォーマンスの最適化により、高度なスムージング技術や複数のラインを使用しても、システムの速度を損なったりエラーが発生したりしません。これは、通常のパフォーマンス上の欠点なしに詳細なテクニカル分析を求めるトレーダーにとって、貴重なツールとなります。
E9 MACD
The E9 MACD (Moving Average Convergence Divergence) indicator is a powerful tool used in technical analysis to help traders identify potential buy and sell signals based on price action. It is designed to provide clear visual cues and alerts for trading decisions. Here’s how it applies to price action and its key functionalities:
Key Features and Functionality
MACD Line and Signal Line:
MACD Line: Represents the difference between a fast and a slow moving average of the price. It helps in identifying the momentum of the price movement.
Signal Line: A smoothed average of the MACD Line, used to generate trading signals when the MACD Line crosses above or below it.
Histogram: The histogram shows the difference between the MACD Line and the Signal Line. It visually represents the strength of the trend, with positive values indicating bullish momentum and negative values indicating bearish momentum.
Trend Coloring:
Uptrend: When the MACD Line is above the Signal Line, the bars can be colored green to indicate a potential buying opportunity.
Downtrend: When the MACD Line is below the Signal Line, the bars can be colored red to signal a potential selling opportunity.
Timeframe Flexibility:
The E9 MACD can be adjusted to different timeframes, allowing traders to analyze short-term or long-term trends based on their trading strategy. This flexibility helps in tailoring the indicator’s analysis to different market conditions.
Visual Alerts and Highlights:
The indicator includes options to highlight price bars and background colors when significant crossovers occur, making it easier to spot key trading signals.
Circles can be plotted on the MACD Line to indicate cross events, enhancing visual clarity.
Customizable Appearance:
Traders can customize the appearance of the MACD Line, Signal Line, and Histogram, including color and line width, to suit their personal preferences and improve readability.
Alerts for Trading Signals:
The E9 MACD can generate alerts for crossovers of the MACD Line and Signal Line, helping traders stay informed of potential trading opportunities even when they are not actively monitoring the charts.
Application in Trading
The E9 MACD is particularly useful for:
Identifying potential entry and exit points based on the crossing of the MACD Line and Signal Line.
Gauging the strength of the current trend through the histogram.
Adjusting to different timeframes to align the indicator with various trading strategies, from day trading to long-term investing.
By providing clear visual indicators and alerts, the E9 MACD helps traders make more informed decisions and better understand the momentum and direction of price movements.
Relative Vigor Index [MTF] with MACD, Divergence and AlertsThis advanced indicator integrates the Normalized Relative Vigor Index (RVGI) with Multi-Timeframe (MTF) analysis, MACD, divergence detection, and customizable alert features. It provides a comprehensive toolkit for traders to analyze market momentum, identify trend changes, and react to significant technical signals.
Key Features:
Normalized Relative Vigor Index (RVGI):
Calculation: Computes the RVGI and its signal line using various smoothing methods (SWMA, EMA, SMA). The RVGI measures the strength of price movement relative to its historical volatility, providing insights into market momentum.
Plotting: Visualizes the RVGI and signal line on the chart. Users can customize the colors and transparency of the plots and the ribbon that fills the area between them.
Overbought/Oversold Levels: Displays horizontal lines to mark overbought and oversold zones, helping to identify potential reversal points.
Multi-Timeframe (MTF) Analysis:
Timeframe Selection: Allows users to select different timeframes for RVGI analysis, providing a broader perspective on market trends and signals.
Integration: Combines MTF data with the main indicator calculations to offer a more comprehensive view of market conditions.
MACD Integration:
Calculation: Computes MACD, MACD signal line, and MACD histogram with options for different moving average types (SMA, EMA) and a customizable scaling factor.
Plotting: Plots the MACD histogram, zero line, and signal line, with color and transparency settings to distinguish between positive and negative values.
Divergence Detection:
Bullish Divergence: Identifies and plots bullish divergence when the price makes a lower low while the RVGI makes a higher low, suggesting potential upward reversals.
Bearish Divergence: Identifies and plots bearish divergence when the price makes a higher high while the RVGI makes a lower high, indicating potential downward reversals.
Alerts:
Divergence Alerts: Configurable alerts for bullish and bearish divergences, notifying traders of significant potential reversals.
RVGI Alerts: Alerts for RVGI crossovers, overbought/oversold conditions, and trend changes based on RVGI and signal line crossovers.
MACD Alerts: Alerts for MACD line crossovers, histogram crossovers, and MACD zero line crossovers, helping traders stay informed of key MACD signals.
Customization Options:
Ribbon Colors and Transparency: Users can adjust the colors and transparency of the RVGI ribbon, enhancing visual clarity.
MACD Histogram Colors and Transparency: Customizable colors and transparency settings for the MACD histogram improve visibility and differentiation of positive and negative values.
Smoothing Methods: Choose between different smoothing methods for RVGI, tailoring the indicator to specific trading strategies.
Use Cases:
Trend Analysis: Utilize RVGI and MACD signals to analyze market trends, identify potential trend reversals, and assess momentum.
Divergence Identification: Detect and act on divergences between price and RVGI to spot potential trading opportunities.
Alert Management: Customize and receive alerts based on various conditions, ensuring timely responses to market signals.
Conclusion:
This indicator is designed for traders who seek a comprehensive tool combining momentum analysis, divergence detection, and signal alerts. By integrating RVGI, MACD, and MTF analysis, it provides a powerful suite of features to enhance market analysis and trading decisions
Power MarketPower Market Indicator
Description: The Power Market Indicator is designed to help traders assess market strength and make informed decisions for entering and exiting positions. This innovative indicator provides a comprehensive view of the evolution of Simple Moving Averages (SMA) over different periods and offers a clear measure of market strength through a total score.
Key Features:
Multi-Period SMA Analysis:
Calculates Simple Moving Averages (SMA) for 10 different periods ranging from 10 to 100.
Provides detailed analysis by comparing the current closing price with these SMAs.
Market Strength Measurement:
Assesses market strength by calculating a total score based on the relationship between the closing price and the SMAs.
The total score is displayed as a histogram with distinct colors for positive and negative values.
Smoothed Curve for Better View:
A smoothing of the total score is applied using a 5-period Simple Moving Average to represent the overall trend more smoothly.
Dynamic Information Table:
Real-time display of the maximum and minimum values among the SMAs, as well as the difference between these values, providing valuable insights into the variability of moving averages.
Visual Reference Lines:
Horizontal lines at zero, +50, and -50 for easy evaluation of key score levels.
How to Use the Indicator:
Position Entries: Use high positive scores to identify buying opportunities when market strength is strong.
Position Exits: Negative scores may signal market weakness, allowing you to exit positions or wait for a better opportunity.
Data Analysis: The table helps you understand the variability of SMAs, offering additional context for your trading decisions.
This powerful tool provides an in-depth view of market dynamics and helps you navigate your trading strategies with greater confidence. Embrace the Power Market Indicator and optimize your trading decisions today!
Connors RSI with Down GapThe Connors RSI with Down Gap indicator is a technical tool designed to support Larry Connors' Terror Gap Strategy, which is part of his broader framework outlined in the book "Buy the Fear, Sell the Greed: 7 Behavioral Quant Strategies for Traders." This specific indicator integrates the ConnorsRSI calculation with a focus on detecting down gaps in price, providing insights into moments when panic selling may occur.
The ConnorsRSI
ConnorsRSI is a composite indicator developed by Larry Connors that combines three core components:
RSI: A short-term relative strength index measuring the speed and magnitude of price changes.
Streak RSI: Tracks consecutive up or down closes to assess momentum.
Percent Rank: Evaluates how the current close ranks in relation to past prices.
When combined, these three elements provide a nuanced view of short-term overbought or oversold conditions. ConnorsRSI readings below a certain threshold (commonly 30 or lower) suggest that the asset has been heavily sold, indicating potential exhaustion of selling pressure.
Behavioral Finance Insights
The Terror Gap Strategy is grounded in principles from behavioral finance, which studies how psychological factors affect market participants' decision-making. Specifically, the indicator exploits the fear and irrational behavior that often arise when traders face persistent losses, especially after a down gap. According to behavioral finance theories like prospect theory (Kahneman & Tversky, 1979), people tend to overreact to losses, leading to panic selling. This creates opportunities for contrarian traders who understand the psychology behind these market movements.
The ConnorsRSI with Down Gap indicator works because it identifies:
Overextended selling through the ConnorsRSI, where persistent price declines result in low RSI values (indicating panic).
Gap down days, where the opening price is below the previous day’s close, typically amplifying the sense of loss and fear for traders already in losing positions.
Why This Indicator Works
The psychology of losses makes traders more prone to selling during periods of fear, especially when confronted with a gap down after sustained price declines. This indicator, by combining ConnorsRSI with down gaps, offers a quantitative way to spot these moments of panic. Traders can take advantage of these signals to enter positions when the market is in a state of fear, often when there is potential for a reversion to the mean.
Indicator Mechanics
In the current implementation:
The ConnorsRSI is calculated using three components: a short-term RSI, streak RSI, and percent rank.
When the ConnorsRSI drops below a user-defined lower threshold, the indicator highlights oversold conditions.
If there is a down gap (open price lower than the previous close) and the ConnorsRSI is below the threshold, a label is displayed, signaling a potential opportunity to buy.
Practical Use and Application
For traders looking to implement the Terror Gap Strategy, this indicator provides a clear visual cue (via background coloring and labels) when conditions are ripe for a contrarian trade. It can be particularly useful for traders who thrive on taking advantage of fear-driven sell-offs.
However, to fully understand and apply this strategy effectively, it is recommended to purchase Larry Connors' book "Buy the Fear, Sell the Greed." The book provides detailed explanations of how to execute the strategy with precision, including insights into exit conditions, scaling into positions, and managing risk.
Conclusion
The ConnorsRSI with Down Gap indicator combines quantitative analysis with behavioral finance principles to exploit fear-driven market behavior. By utilizing this tool within a disciplined trading strategy, traders can potentially profit from temporary market inefficiencies caused by panic selling.
References
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291.
Connors, L. (2013). Buy the Fear, Sell the Greed: 7 Behavioral Quant Strategies for Traders.
This indicator can be a valuable asset, but understanding its proper use within a broader strategy framework is essential. Purchasing Connors' book is a recommended step toward mastering the approach.
Median Kijun-Sen [InvestorUnknown]The Median Kijun-Sen is a versatile technical indicator designed for both trend-following strategies and long-term market valuation. It incorporates various display modes and includes a backtest mode to simulate its performance on historical price action.
Key Features:
1. Trend-Following and Long-Term Valuation:
The indicator is ideal for trend-following strategies, helping traders identify entry and exit points based on the relationship between price and the Kijun-Sen calculated from median price (customizable price source).
With longer-term settings, it can also serve as a valuation tool (in oscillator display mode), assisting in identifying potential overbought or oversold conditions over extended timeframes.
2. Display Modes:
The indicator can be displayed in three main modes, each serving a different purpose:
Overlay Mode : Plots the Median Kijun-Sen directly over the price chart, useful for visualizing trends relative to price action.
Oscillator Mode : Displays the oscillator that compares the current price to the Median Kijun-Sen, providing a clearer signal of trend strength and direction
Backtest Mode : Simulates the performance of the indicator with different settings on historical data, offering traders a way to evaluate its reliability and effectiveness without needing TradingView's built-in strategy tool
3. Backtest Functionality:
The inbuilt backtest mode enables users to evaluate the indicator's performance across historical data by simulating long and short trades. Users can customize the start and end dates for the backtest, as well as specify whether to allow long & short, long only, or short only signals.
This backtest functionality mimics TradingView's strategy feature, allowing users to test the effectiveness of their chosen settings before applying them to live markets.
equity(series int sig, series float r, startDate, string signals, bool endDate_bool) =>
if time >= startDate and endDate_bool
float a = 0
if signals == "Long & Short"
if sig > 0
a := r
else
a := -r
else if signals == "Long Only"
if sig > 0
a := r
else if signals == "Short Only"
if sig < 0
a := -r
else
runtime.error("No Signal Type found")
var float e = na
if na(e )
e := 1
else
e := e * (1 + a)
float r = 0.0
bool endDate_bool = use_endDate ? (time <= endDate ? true : false) : true
float eq = 1.0
if disp_mode == "Backtest Mode"
r := (close - close ) / close
eq := equity(sig, r, startDate, signals, endDate_bool)
4. Hint Table for Pane Suggestions:
An inbuilt hint table guides users on how to best visualize the indicator in different display modes:
For Overlay Mode, it is recommended to use the same pane as the price action.
For Oscillator and Backtest Modes, it is advised to plot them in a separate pane for better clarity.
This table also provides step-by-step instructions on how to move the indicator to a different pane and adjust scaling, making it user-friendly.
Potential Weakness
One of the key drawbacks is the indicator’s tendency to produce false signals during price consolidations, where price action lacks clear direction and may trigger unnecessary trades. This is particularly noticeable in markets with low volatility.
Alerts
The indicator includes alert conditions for when it crosses above or below key levels, enabling traders to receive notifications of LONG or SHORT signals.
Summary
The Median Kijun-Sen is a highly adaptable tool that serves multiple purposes, from trend-following to long-term valuation. With its customizable settings, backtest functionality, and built-in hints, it provides traders with valuable insights into market trends while allowing them to optimize the indicator to their specific strategy.
This versatility, however, comes with the potential weakness of false signals during consolidation phases, so it's most effective in trending markets.
Adaptive Trend [StabTrading]The Adaptive Trend is a versatile tool designed to help traders stay in trades longer by adapting to real-time market conditions. Based on the Exponential Moving Average (EMA) trend, this indicator automatically adjusts its values according to the flow of money, making it a fully automated and responsive trend-following tool. Traders can use this adaptive trend to maintain positions longer and identify optimal entry and exit points before the trend fully reverses.
💡 Features
EMA-Based Trend - The Adaptive Trend Indicator is grounded in the EMA, providing a reliable foundation for tracking market trends.
Adaptive Values - The indicator’s values change dynamically based on money flow, allowing it to adjust to market conditions automatically.
Designed for Longer Trades - This tool is specifically designed to keep traders in trades for extended periods, maximizing potential profits.
Automated Algorithm - The fully automated nature of this indicator ensures that it adapts without manual intervention, making it user-friendly and efficient.
Pre-Trend Flip Signals - Traders can utilize this indicator to spot entry and exit points before a trend reversal, offering a strategic advantage in trade timing.
📈 How to Use the Adaptive Trend Indicator
The Adaptive Trend Indicator is designed to help traders identify potential entry and exit points by observing the relationship between price and the trend line. Generally, the price should follow the trend line's momentum. However, when the price deviates from the trend line, this indicates a divergence in momentum, signalling a potential trading opportunity.
Monitor the Trend Line - Pay attention to the color and flatness of the trend line. A blue trend line indicates bullish momentum, while a yellow trend line signals bearish momentum. When the trend line starts to flatten, it suggests that the current momentum is weakening. This is the time to watch for price deviations from the trend line as potential trade signals.
🛠️ Usage/Practice
As the downward trend begins to lose momentum, the trend line flattens and shows early signs of money flow moving up. This flattening indicates a potential shift in market sentiment, suggesting that a reversal may be on the horizon.
The trend line changes to blue, indicating a bullish shift in momentum. Since the price is close to the trend line, this serves as a strong confirmation to enter a long trade. The proximity to the trend line offers a favourable risk-to-reward ratio.
The trend line begins to level out, signalling a potential slowdown in momentum. Notice how the price starts to deviate from the trend line. As price rises above the trend line, this presents an opportunity to take partial profits or initiate a covered sell position.
The price briefly dips below the blue trend line, and the trend itself remains flat, indicating the bullish trend’s resilience. As the trend line stays blue, this suggests that the upward momentum remains intact, and the dip may be temporary, offering another potential entry point.
Despite the trend line flattening, the price continues to respect the trend, suggesting that the uptrend has not exhausted itself. This continuation implies that the bullish trend is still likely to persist.
The trend line flips, signalling a clear end to the previous upward trend. This flip is a strong indication that the bullish momentum has been fully exhausted, and a reversal may be in progress. Notice how the price has respected the trend line as it flips.
The trend line has shifted to yellow, signalling downward price action. As the trend begins to flatten and shows signs of moving upward again, traders should wait for the price to cross above the trend line. This crossing could indicate a safer entry point for a sell trade, as the market may still be in a bearish phase.
The price drops sharply below the trend line, but the trend itself remains relatively stable, suggesting that the downward momentum may not be as strong as the price action suggests. This discrepancy signals an opportune moment to take profits and potentially enter a buy position.
The price is not aligning with the trend line, suggesting the market may be trending sideways. The trend currently shows bullish momentum, but it lacks strong upward acceleration, and the price is significantly above the trend line. This weakening momentum indicates a potential area to consider a sell trade. Similar to point 8, the lack of acceleration and the distance from the trend line suggest that the upward movement may be losing strength.
While the trend remains in a downward (yellow) phase, it begins to rise without flipping to blue. This suggests that upward momentum is weak. As the price significantly deviates above the trend line, traders might consider entering a new sell trade, as the upward movement within a downward trend could indicate a temporary correction rather than a full reversal.
🔶 Conclusion
The Adaptive Trend allows traders to maintain their positions longer while providing strategic entry and exit points before trends fully reverse. As part of a comprehensive trading system, this indicator is particularly valuable for those looking to capitalize on subtle shifts in market momentum. By following its guidelines and signals, traders can better align their strategies with market dynamics.
RishiMoney RSIRishiMoney RSI
The "RishiMoney RSI" indicator is designed for traders who want to leverage the power of the Relative Strength Index (RSI) across multiple timeframes.
In addition to regular RSI, this script allows the users to select custom timeframes for two additional RSI calculations, making it easier to identify trends, reversals, and potential entry or exit points.
USAGE
While Returning the same information as a regular RSI the RishiMoney RSI provides two more RSI calculations One for Lagrgest Timeframe and one for middle Timeframe so that the users need not to check for higher timeframes separately Which is very Time consuming. This script solves the problem of time taking process of checking different timeframes RSI calculations.
This script is ideal for traders who want to confirm their analysis across multiple timeframes. By comparing the main RSI with larger and intermediate timeframes, traders can better understand the market's momentum and make more informed decisions.
The RishiMoney RSI crossing above the overbought level can be indicative of a strong uptrend which is highlighted as a green gradient area, while when RishiMoney RSI is crossing under the oversold level can be indicative of a strong downtrend which is highlighted as a red area.
Key Features:
Customizable RSI Period: Set your preferred RSI period for precise calculation and analysis.
Multi-Timeframe RSI:
Largest RSI Timeframe: Choose the largest timeframe for your analysis (Monthly, Weekly, Daily, Hourly, 15 minutes, or 5 minutes).
Middle RSI Timeframe: Select an intermediate timeframe for comparison with the main RSI.
Overbought and Oversold Levels: The indicator includes customizable overbought and oversold levels, which are clearly marked on the chart with dynamic bands.
Alerts: Set up alerts for when the RSI crosses into overbought or oversold territory, so you never miss a potential trading opportunity.
Visual Clarity: The script plots the RSI for your selected timeframes with distinct colors, helping you quickly identify trends across different timeframes.
This script is provided for educational purposes only and should not be considered financial advice. Always conduct your own research and consult with a financial advisor before making any trading decisions.
Ultra Money FlowIntroduction
The Ultra Money Flow script is a technical indicator for analyzing stock trends. It highlights buying and selling power, helping you identify bullish (rising) or bearish (falling) market trends.
Detailed Description
The Ultra Money Flow script calculates and visually displays two main components: Fast and Slow money flow. These components represent short-term and long-term trends, respectively.
Here's how it works:
.........
Inputs
You can adjust the speed of analysis (Fast Length and Slow Length) and the type of smoothing applied (e.g., Simple Moving Average, Exponential Moving Average).
Choose colors for visualizing the trends, with blue for bullish (positive) and orange for bearish (negative) movements.
.....
Money Flow Calculation
The script analyzes price changes (delta) over specified periods.
It separates upward price movements (buying power) from downward ones (selling power).
It then calculates the difference between these powers for both Fast and Slow components.
The types of smoothing methods range from traditional ones like the Simple Moving Average (SMA) to advanced ones like the Double Expotential Moving Average (DEMA) or the Triple Exponential Moving Average (TEMA) or the Recursive Moving Average (RMA) or the Weigthend Moving Average (WMA) or the Volume Weigthend Moving Average (VWMA) or Hull Moving Average (HMA).
Very Special ones are the Triple Weigthend Moving Average (TWMA) wich created RedKTrader .
I created the Multi Weigthend Moving Average (MWMA) wich is a simple signal line to the TWMA.
.....
Divergence
This indicator can show divergence by comparing the direction of price movements with the indicator value.
If the price and the indicator move in opposite directions, you can use these signals to help decide when to buy or sell.
.....
Auto Scaling
The script adjusts its calculations based on the time frame you are viewing, whether it's minutes, hours, or days, ensuring accurate representation across different time scales.
.....
Plotting
The script plots the Fast component as a histogram and the Slow component as a line, using the chosen colors to indicate bullish or bearish trends.
The thickness and transparency of these plots give additional clues about the strength of the trend.
.........
By using this indicator, traders can easily spot shifts in buying and selling power, allowing for better-informed decisions in the market.
Special Thanks
I use the TWMA-Function created from RedKTrader to smooth the values.
Special thanks to him for creating and sharing this function!
Deepwave OscillatorParadox Deepwave: A Multi-Layered Volatility Analysis System
Paradox Deepwave is an advanced volatility analysis tool designed to give traders a comprehensive view of market conditions. Unlike traditional volatility indicators, Paradox Deepwave combines multiple facets of volatility analysis into a single, cohesive framework that provides traders with deeper insights into market dynamics.
The Core Concept: Volatility as a Multi-Dimensional Metric
At its core, Paradox Deepwave analyzes market volatility not from one perspective, but through multiple dimensions. It’s built to detect how price movement behaves over time, how it expands and contracts, and how volatility builds before major price moves occur. By measuring volatility from several angles, the tool generates a comprehensive view of market conditions that would be missed by relying on a single indicator.
1. Price Expansion and Contraction as a Volatility Gauge
Paradox Deepwave’s foundation is based on how the market naturally cycles between periods of price expansion (where price swings increase) and price contraction (where volatility diminishes). These cycles are a critical aspect of market behavior, as they often precede breakouts or reversals. Paradox Deepwave tracks these shifts in price movement, allowing traders to get early warnings of increased volatility or upcoming market calm.
This is not just another volatility measure like the ATR; Paradox Deepwave captures how these expansions and contractions evolve across different time periods, giving traders a real-time look at how volatility is building or decaying in the market.
2. Trend Sensitivity and Volatility Interaction
In addition to analyzing price behavior, Paradox Deepwave is built with a dynamic trend sensitivity model. It evaluates whether the market is trending or ranging, and how that interacts with volatility. When price volatility expands in a trending market, Paradox Deepwave adjusts its analysis to capture potential trend accelerations or exhaustion points.
By measuring the relationship between price movement and market volatility, Paradox Deepwave helps traders understand whether current volatility spikes are likely to result in a sustained trend or a quick reversion.
3. Integrated Volatility Scoring System
Paradox Deepwave integrates these layers of volatility into a volatility scoring system. This composite score is built by normalizing various volatility inputs into a single, easy-to-read oscillator. The score dynamically adjusts as volatility in the market shifts, providing a color-coded visual output that helps traders quickly interpret the current volatility level.
• Low Volatility (0-30): Represents stable market conditions, indicating a likely period of price consolidation.
• Moderate Volatility (30-70): Suggests active market conditions, which can present balanced opportunities for traders.
• High Volatility (70-100): Signals heightened market activity, often seen before major market moves or breakouts.
This scoring system isn’t a simple mashup; it’s a thoughtful combination of different volatility layers that are weighed and adjusted dynamically based on real-time market behavior.
Why Paradox Deepwave Stands Out
While many indicators focus on one type of volatility or one aspect of trend analysis, Paradox Deepwave is designed to provide a multi-dimensional perspective. By combining price expansion and contraction with dynamic trend sensitivity, this tool offers traders a nuanced, layered view of volatility that’s adaptable to changing market conditions.
How Paradox Deepwave’s Components Work Together
• Price Expansion and Contraction: These cycles form the basis for detecting changes in volatility levels, providing insight into market rhythm.
• Dynamic Trend Sensitivity: Paradox Deepwave’s trend model adjusts the way it measures volatility based on whether the market is trending or ranging, helping traders anticipate potential trend reversals or breakouts.
• Volatility Scoring System: The output score brings together these different measures of volatility into a single, unified metric that allows traders to see at a glance where the market stands.
Each component serves a distinct purpose, but together they provide a more holistic view of volatility. Paradox Deepwave does not just measure price range; it contextualizes volatility within market trends and price behavior, offering a 360-degree view that helps traders avoid false signals and stay in sync with market movements.
Why Paradox Deepwave Merits Invite-Only Access
Paradox Deepwave is designed for traders who seek a deeper understanding of market volatility and who want a tool that adapts in real-time. This indicator is especially useful for traders looking for a refined volatility analysis that goes beyond typical tools like the ATR or Bollinger Bands.
• Dynamic Volatility Interaction: The way Paradox Deepwave handles volatility is unique in its ability to adjust based on trend conditions and market phases.
• Comprehensive, Multi-Layered Approach: By analyzing volatility from different angles, it gives traders a fuller picture of market conditions and helps them anticipate major market moves. This is far more than a mashup—it’s a system built to address the complexity of market volatility.
• Tailored for Serious Traders: This tool offers real-time, adaptable signals that are suited for traders who need reliable information to make faster, more informed decisions. The invite-only nature ensures that the tool is available to traders who understand the importance of in-depth market analysis.
How to Use Paradox Deepwave
• Navigating Low Volatility: When the score dips below 30, Paradox Deepwave indicates stable market conditions, suggesting that aggressive trading may not be optimal.
• Capitalizing on High Volatility: When volatility spikes above 70, the indicator shows heightened market activity, where short-term trading opportunities might emerge. Traders can use this signal to anticipate breakouts or sudden market reversals.
• Dynamic Adaptation: As market conditions shift, Paradox Deepwave dynamically adjusts its output, making it easy to stay in tune with evolving market rhythms.
Conclusion:
It's important to note that this indicator is a tool to aid your trading decisions, not a guarantee of success. Always use in conjunction with sound risk management strategies. Past performance is not indicative of future results. The inherent uncertainty of the markets means that the effectiveness of any indicator or tool can vary. If you have any questions or need further clarification on how to use this indicator, feel free to reach out. However, please do not use the comments section of the script to request access or ask for likes or follows. All such requests should be made privately.
