Super Oscillator with Alerts by BigBlueCheeseSuper Oscillator with Alerts (by BigBlueCheese)
I got sick of eyeballing multiple oscillators generating output on different scales and interpreting them on the fly, so I picked 4 of my favs, 2 fisher transforms (fast & slow) The Squeeze & my own Market Rhythm Oscillator & made the Super Oscillator with Alerts which combines multiple indicators and oscillators to analyze market conditions and generate actionable trading signals.
The output is buy/sell/neutral signals and a color coded table summarizing indicator states (strong buy to strong sell etc). The color legend can be disabled once you get used to the color codes. The user can choose to watch the table output and its changing output, OR unclutter their screen by toggling the table off & just watching for the signals SO+ (buy), SO-(sell), SO?(neutral)
The combined signals are run through a scoring and weighting scheme that utilizes each indicators Z-scores, Min-Max normalization, and raw values which are all used in different parts of the scoring process.
A velocity filter (for more immediate/sensitive response) is available for the user to toggle on/off. The raw indicator values are classified into categories reflecting their current strength and are assigned momentum points.
Z-scores measure how far each oscillator's current value deviates from its mean in terms of standard deviations. Basically, the Z-scores focus on relative behavior, while momentum captures directional trends. Together, they provide a more nuanced view of market conditions. Large Z-scores increase the likelihood of stronger signals. The idea is to are amplify influence in extreme conditions whereas low Z scores will have minimal impact on the cumulative score, making signals less prone to noise.
Inputs and Their Contributions
1. Momentum: Controlled by the raw oscillator values and thresholds.
2. Min-Max: Automatically calculated based on the historical range of oscillators.
3. Velocity: Input: useVelocity (true/false) toggle. Weights: User-defined weights for velocity contribution.
4. Z-Score: Input: useZScore (true/false) toggle. Weights: User-defined weights for Z-score contribution.
The system combines momentum, Min-Max normalization, (and if enabled) velocity, and Z-scores, to generate dynamic and actionable trading signals that appear as markers on the chart indicating buy, sell, and neutral signals.
Alerts can also be triggered based on these signals.
Users can customize the weighting and inclusion of velocity and Z-scores to align the scoring system with their trading strategy and preferences.
If there is enough interest for some other preferred oscillator, I will substitute it for out my Market Rhythm Oscillator & republish with the code. LMK
For the curious out there, the Market Rhythm Oscillator (MRO) is a custom oscillator that analyzes price dynamics using a combination of weighted volatility-based calculations. It helps measure price momentum and potential exhaustion levels by identifying high and low volatility regions.
• Purpose: The MRO is particularly effective at identifying market trends and potential reversals by analyzing price extremes and their behavior over a defined lookback period.
• Calculation Components might include:
o Waveform Volatility Factor (WVF): Measures the price's deviation from its highest or lowest values within a given period.
o Bands and Smoothing:
Upper and lower bands based on standard deviations of WVF.
Smoothing is applied to the WVF for better trend clarity.
o Exhaustion Levels: Uses the MRO's trend length to calculate when the price action may become overextended.
Happy hunting but as always, not a trade recommendation, past results not indicative of future results, DYOR!
Ikat Bollinger / Bollinger Bands (BB)
Ultra Smart TrailIntroduction
The Ultra Smart Trail indicator is a comprehensive tool for traders seeking to identify and follow market trends efficiently. Combining dynamic trend detection with adaptive price bands, this indicator simplifies the process of understanding market direction and strength. It provides clear visual cues and customizable settings, catering to both novice and experienced traders.
Detailed Description
The Ultra Smart Trail indicator works by calculating a Trend Flow Line (TFL) using a hybrid moving average technique. This TFL dynamically adjusts to market conditions, smoothing out price fluctuations while remaining responsive to significant market shifts.
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Trend Flow Line (TFL)
A color-coded line indicating bullish, bearish, or neutral trends based on price movement relative to the TFL.
The TFL uses a combination of weighted moving averages (WMA) and double-weighted moving averages (DWMA) for accuracy.
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Dynamic Price Bands
The indicator plots upper and lower bands around the TFL, based on customizable multipliers of standard deviation. These bands adapt dynamically to volatility, helping traders spot overbought or oversold conditions.
The script calculates standard deviation-based bands with customizable multipliers, enabling precise adjustment to trading styles or instruments.
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Uptrend/Downtrend Highlights
The background and price bands visually differentiate trending and ranging markets, making it easier to identify high-probability trade setups.
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Reversal Alerts
By analyzing the relationship between price and bands, the script highlights potential reversals or continuation zones with distinct levels and fills.
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This indicator is a powerful addition to any trader’s toolkit, simplifying market analysis and enhancing decision-making.
UVR ChannelsUVR CHANNELS: A VOLATILITY-BASED TREND ANALYSIS TOOL
PURPOSE
UVR Channels are designed to dynamically measure market volatility and identify key price levels for potential trend reversals. The channels are calculated using a unique volatility formula(UVR) combined with an EMA as the central reference point. This approach provides traders with a tool for evaluating trends, reversals, and market conditions such as breakouts or consolidations.
CALCULATION MECHANISM
1. Ultimate Volatility Rate (UVR) Calculation:
The UVR is a custom measure of volatility that highlights significant price movements by comparing the extremes of current and previous candles.
Volatility Components:
Two values are calculated to represent potential price fluctuations:
The absolute difference between the current candle's high and the previous candle's low:
Volatility Component 1=∣high−low ∣
The absolute difference between the previous candle's high and the current candle's low:
Volatility Component 2=∣high −low∣
Volatility Ratio:
The larger of the two components is selected as the Volatility Ratio, ensuring the UVR captures the most significant movement:
Volatility Ratio=max(Volatility Component 1,Volatility Component 2)
Smoothing with SMMA:
To stabilize the volatility calculation, the Volatility Ratio is smoothed using a Smoothed Moving Average (SMMA) over a user-defined period (e.g., 14 candles):
UVR= (UVR(Previous) × (Period−1))+Volatility Ratio)/Period
2. Band Construction:
The UVR is integrated into the band calculations by using the Exponential Moving Average (EMA) as the central line:
Central Line (EMA):
The EMA is calculated based on closing prices over a user-defined period (e.g., 20 candles).
Upper Band:
The upper band represents a dynamic resistance level, calculated as:
Upper Band=EMA+(UVR × Multiplier)
Lower Band:
The lower band serves as a dynamic support level, calculated as:
Lower Band=EMA−(UVR × Multiplier)
3. Role of the Multiplier:
The Multiplier adjusts the width of the bands based on trader preferences:
Higher Multiplier: Wider bands to capture larger price swings.
Lower Multiplier: Narrower bands for tighter market analysis.
FEATURES AND USAGE
Dynamic Volatility Analysis:
The UVR Channels expand and contract based on real-time market volatility, offering a dynamic framework for identifying potential price trends.
Expanding Bands: High market volatility.
Contracting Bands: Low volatility or consolidation.
Trend Identification:
Price consistently near the upper band indicates a strong bullish trend.
Price near the lower band signals a bearish trend.
Trend Reversal Signals:
Price reaching the upper band may signal overbought conditions, while price touching the lower band may signal oversold conditions.
Breakout Potential:
Narrow bands often precede significant price breakouts, making UVR Channels a useful tool for spotting early breakout conditions.
DIFFERENCES FROM BOLLINGER BANDS
Unlike Bollinger Bands, which rely on standard deviation to measure volatility, the UVR Channels use a custom volatility formula based on price extremes (highs and lows). This approach adapts to market behaviour in a unique way, providing traders with an alternative and accurate view of volatility and trends.
INPUT PARAMETERS
Volatility Period:
Determines the number of periods used to smooth the volatility ratio. A higher value results in smoother bands but may lag behind sudden market changes.
EMA Period:
Controls the calculation of the central reference line.
Multiplier:
Adjusts the width of the bands. Increasing the multiplier widens the bands, capturing larger price movements, while decreasing it narrows the bands for tighter analysis.
VISUALIZATION
Purple Line: The EMA (central line).
Red Line: Upper band (dynamic resistance).
Green Line: Lower band (dynamic support).
Shaded Area: Fills the space between the upper and lower bands, visually highlighting the channel.
[Venturose] MACD x BB x STDEV x RVIDescription:
The MACD x BB x STDEV x RVI combines MACD, Bollinger Bands, Standard Deviation, and Relative Volatility Index into a single tool. This indicator is designed to provide insights into market trends, momentum, and volatility. It generates buy and sell signals, by analyzing the interactions between these components. These buy and sell signals are not literal, and should be used in combination with the current trend.
How It Works:
MACD: Tracks momentum and trend direction using customizable fast and slow EMA periods.
Bollinger Bands: Adds volatility bands to MACD to identify overextension zones.
Standard Deviation: Dynamically adjusts the Bollinger Band width based on MACD volatility.
RVI (Relative Volatility Index): Confirms momentum extremes with upper and lower threshold markers.
Custom Logic: Includes a trigger system ("inside" or "flipped") to adapt signals to various market conditions and an optional filter to reduce noise.
Key Features:
Combines MACD and Bollinger Bands with volatility and momentum confirmations from RVI.
Dynamic color-coded plots for identifying bullish, bearish, and neutral trends.
Customizable parameters for tailoring the indicator to different strategies.
Optional signal filtering to refine buy and sell triggers.
Alerts for buy and sell signals based on signal logic.
Why It’s Unique:
This indicator combines momentum (MACD), volatility (Bollinger Bands and Standard Deviation), and confirmation signals (RVI thresholds) into a unified system. It introduces custom "inside" and "flipped" triggers for adaptable signal generation and includes signal filtering to reduce noise. The addition of RVI-based hints helps identify early overbought or oversold conditions, providing an extra layer of insight for decision-making. The dynamic integration of these components ensures a comprehensive yet straightforward analysis tool for various market conditions.
Adaptive bollinger bands cloud v1 trend & trade signalsadaptive bollinger bands cloud:
the script extends the concept of bollinger bands by creating a "cloud" between the upper and lower bands. this cloud visually represents market conditions, with its color dynamically adjusting based on trend strength and volatility.
the gradient fill between the bands changes according to the deviation of the price from its basis, offering a visual cue for trend momentum.
trend detection logic:
a trend variable determines whether the price is in a bullish, bearish, or neutral state. if the price is above the upper band and the basis, the trend is marked bullish. if it's below the lower band and the basis, the trend is bearish. otherwise, it's neutral.
this trend logic is further enhanced with visual markers like arrows to indicate potential trend reversals.
extended take-profit bands:
additional upper and lower bands are calculated using a higher multiplier. these extended bands help identify potential take-profit levels, signaling when the price may have reached an overextended state.
gradient calculation:
the script computes a gradient based on the deviation of the price from its basis and normalizes it over a lookback period. this normalized gradient is smoothed to reflect volatility intensity and used to color the cloud dynamically.
signal generation:
buy and sell signals are generated based on crossovers of the trend variable. for instance, when the trend shifts from negative to positive, it signals a bullish opportunity. conversely, a shift from positive to negative indicates bearish conditions.
take-profit markers ("x") are plotted when the price crosses the extended bands, suggesting potential exit points.
trade entry tracking:
the script includes a table to display real-time entry signals and prices for long (buy) or short (sell) trades. this feature helps traders keep track of signals without needing to reference the chart visually.
customizable inputs:
users can adjust the bb period, multiplier, and colors to suit their trading preferences. this flexibility allows for tuning the indicator based on different market conditions or asset classes.
overall, the indicator blends traditional bollinger bands with innovative visualization, trend identification, and trading signals to enhance decision-making.
how to use this indicator
trend detection:
watch for arrows indicating trend shifts:
an upward arrow (green) signals a bullish trend; consider buying or entering a long position.
a downward arrow (red) signals a bearish trend; consider selling or entering a short position.
use the gradient-colored cloud to assess trend strength:
bright and strong colors indicate significant momentum.
fading colors suggest weakening trends or consolidation.
entry signals:
refer to the table in the top-right corner of the chart for real-time buy or sell entry signals.
when a "buy" signal is displayed with the price, it suggests a potential entry point for a long trade.
when a "sell" signal is displayed, consider shorting or exiting long positions.
take-profit signals:
look for the "x" markers near the extended bands (upper1 and lower1):
an "x" above the price suggests taking profit on long positions.
an "x" below the price suggests taking profit on short positions.
background gradient analysis:
observe the dynamic background color:
a strong purple gradient indicates significant price movement or volatility.
a lighter gradient suggests reduced momentum, signaling caution or a potential reversal.
alerts for automation:
set alerts using the predefined conditions:
bullish trend start, bearish trend start, and take-profit levels can be used to automate notifications for trade actions.
why to use this indicator
enhanced decision-making:
the adaptive cloud and gradient provide visual insights into trend strength and volatility, allowing traders to assess market conditions at a glance.
precise signals:
the indicator uses crossover logic and extended bollinger bands to generate clear buy, sell, and take-profit signals, reducing guesswork.
trend confirmation:
combining the bollinger bands with the trend variable ensures that traders only act on confirmed market trends rather than noise.
dynamic volatility assessment:
the normalized gradient calculation highlights periods of high or low volatility, helping traders adjust their strategies accordingly.
customizable settings:
adjustable parameters (period, multiplier, colors) allow the indicator to fit various markets, timeframes, and trading styles.
all-in-one tool:
integrates trend detection, entry signals, and take-profit levels into a single indicator, minimizing the need for multiple tools.
this indicator is especially useful for traders seeking a balance between simplicity and precision, whether scalping, day trading, or swing trading. it not only identifies trends but also highlights actionable entry and exit points, making it a versatile addition to any trading strategy.
MACD, ADX & RSI -> for altcoins# MACD + ADX + RSI Combined Indicator
## Overview
This advanced technical analysis tool combines three powerful indicators (MACD, ADX, and RSI) into a single view, providing a comprehensive analysis of trend, momentum, and divergence signals. The indicator is designed to help traders identify potential trading opportunities by analyzing multiple aspects of price action simultaneously.
## Components
### 1. MACD (Moving Average Convergence Divergence)
- **Purpose**: Identifies trend direction and momentum
- **Components**:
- Fast EMA (default: 12 periods)
- Slow EMA (default: 26 periods)
- Signal Line (default: 9 periods)
- Histogram showing the difference between MACD and Signal line
- **Visual**:
- Blue line: MACD line
- Orange line: Signal line
- Green/Red histogram: MACD histogram
- **Interpretation**:
- Histogram color changes indicate potential trend shifts
- Crossovers between MACD and Signal lines suggest entry/exit points
### 2. ADX (Average Directional Index)
- **Purpose**: Measures trend strength and direction
- **Components**:
- ADX line (default threshold: 20)
- DI+ (Positive Directional Indicator)
- DI- (Negative Directional Indicator)
- **Visual**:
- Navy blue line: ADX
- Green line: DI+
- Red line: DI-
- **Interpretation**:
- ADX > 20 indicates a strong trend
- DI+ crossing above DI- suggests bullish momentum
- DI- crossing above DI+ suggests bearish momentum
### 3. RSI (Relative Strength Index)
- **Purpose**: Identifies overbought/oversold conditions and divergences
- **Components**:
- RSI line (default: 14 periods)
- Divergence detection
- **Visual**:
- Purple line: RSI
- Horizontal lines at 70 (overbought) and 30 (oversold)
- Divergence labels ("Bull" and "Bear")
- **Interpretation**:
- RSI > 70: Potentially overbought
- RSI < 30: Potentially oversold
- Bullish/Bearish divergences indicate potential trend reversals
## Alert System
The indicator includes several automated alerts:
1. **MACD Alerts**:
- Rising to falling histogram transitions
- Falling to rising histogram transitions
2. **RSI Divergence Alerts**:
- Bullish divergence formations
- Bearish divergence formations
3. **ADX Trend Alerts**:
- Strong trend development (ADX crossing threshold)
- DI+ crossing above DI- (bullish)
- DI- crossing above DI+ (bearish)
## Settings Customization
All components can be fine-tuned through the settings panel:
### MACD Settings
- Fast Length
- Slow Length
- Signal Smoothing
- Source
- MA Type options (SMA/EMA)
### ADX Settings
- Length
- Threshold level
### RSI Settings
- RSI Length
- Source
- Divergence calculation toggle
## Usage Guidelines
### Entry Signals
Strong entry signals typically occur when multiple components align:
1. MACD histogram color change
2. ADX showing strong trend (>20)
3. RSI showing divergence or leaving oversold/overbought zones
### Exit Signals
Consider exits when:
1. MACD crosses signal line in opposite direction
2. ADX shows weakening trend
3. RSI reaches extreme levels with divergence
### Risk Management
- Use the indicator as part of a complete trading strategy
- Combine with price action and support/resistance levels
- Consider multiple timeframe analysis for confirmation
- Don't rely solely on any single component
## Technical Notes
- Built for TradingView using Pine Script v5
- Compatible with all timeframes
- Optimized for real-time calculation
- Includes proper error handling and NA value management
- Memory-efficient calculations for smooth performance
## Installation
1. Copy the provided Pine Script code
2. Open TradingView Chart
3. Create New Indicator -> Pine Editor
4. Paste the code and click "Add to Chart"
5. Adjust settings as needed through the indicator settings panel
## Version Information
- Version: 2.0
- Last Updated: November 2024
- Platform: TradingView
- Language: Pine Script v5
Market Overview TableThis script creates a market overview table that aggregates the signals from seven technical indicators into a single overall market trend. The goal of the table is to provide a quick summary of the market condition based on the combined behavior of multiple popular indicators. Instead of displaying each individual indicator's trend separately, it summarizes them into one overall market signal, displayed as a triangle (either up or down). This simplifies the decision-making process by focusing on an easy-to-read visual cue.
how it works
The table pulls in signals from seven indicators:
rsi (relative strength index): Measures if the asset is overbought (above 70) or oversold (below 30). In this case, the condition checks if the rsi is above 50, indicating a bullish trend.
ema (exponential moving average): A trend-following indicator that gives more weight to recent prices. It checks if the current price is above the ema value, which suggests an upward market trend.
sma (simple moving average): Similar to ema, it calculates the average price over a set period. When the price is above the sma, it indicates a bullish trend.
vwma (volume-weighted moving average): This average takes volume into account. It checks if the price is above the vwma, indicating higher trading activity in the direction of the trend.
bb (bollinger bands): The script compares the price to the upper bollinger band. If the price is above the upper band, it suggests that the price is in an overbought condition, signaling a bullish market.
williams fractals: A pattern recognition indicator that detects market turning points. In this case, it checks if the price is above the fractal high, indicating a bullish breakout.
momentum: Measures the rate of change in price over a set period. If the momentum is positive (price is rising), it indicates a bullish trend.
overall market calculation
The overall market condition is determined by the sum of bullish conditions across all seven indicators. For each indicator, if it shows a bullish signal (e.g., price above the moving average, rsi above 50), it is counted as a bullish indicator. The total number of bullish indicators is then tallied up:
If 4 or more indicators are bullish, the market is considered bullish overall.
If less than 4 indicators are bullish, the market is considered bearish overall.
This method aggregates the data from all seven indicators into a single market trend signal, represented by a triangle.
the triangle
The triangle (▲ or ▼) is used as the visual signal for the overall market trend. If the market is determined to be bullish (4 or more bullish indicators), the triangle will point up (▲), indicating a positive or upward trend. If the market is bearish (fewer than 4 bullish indicators), the triangle will point down (▼), signaling a negative or downward trend.
difference from individual indicators
The main difference between this approach and traditional indicator-based methods is the aggregation of multiple indicators into one simple signal. Instead of displaying seven separate signals for each indicator, which can be overwhelming and difficult to interpret quickly, this table combines them into one clear visual cue for the overall market condition. This makes it easier for traders to make quick decisions without having to analyze each individual indicator in detail.
Here’s what makes this approach unique:
Simplicity: Rather than plotting individual indicator signals on the chart, which can clutter the screen, the table condenses the market’s trend into a single up or down triangle, which is easier to interpret at a glance.
Comprehensive view: By aggregating seven indicators, the table considers multiple aspects of the market (e.g., momentum, trend, volume) to give a more comprehensive view of the market’s behavior, rather than relying on just one or two indicators.
Dynamic nature: As market conditions change and indicators fluctuate, the overall market trend dynamically updates, providing real-time feedback on the market’s direction.
table structure
The table is structured with two columns:
The first column contains the "OVERALL MARKET" label.
The second column displays the triangle (▲ or ▼) indicating the market trend based on the combined signal from all seven indicators.
By keeping it simple and focusing only on the overall market trend, this table allows traders to quickly grasp the market’s condition without having to sift through individual indicator data.
conclusion
This table simplifies the complexity of analyzing multiple indicators by summarizing their signals into a single, easy-to-read visual indicator. It is ideal for traders who want a quick, comprehensive view of market conditions without diving deep into the details of each individual indicator. The approach of aggregating multiple indicators into one overall market trend provides a clearer picture and saves time while maintaining the reliability of a multi-indicator analysis.
MACD+RSI+BBDESCRIPTION
The MACD + RSI + Bollinger Bands Indicator is a comprehensive technical analysis tool designed for traders and investors to identify potential market trends and reversals. This script combines three indicators: the Moving Average Convergence Divergence (MACD), the Relative Strength Index (RSI), and Bollinger Bands. Each of these indicators provides unique insights into market behavior.
FEATURES
MACD (Moving Average Convergence Divergence)
The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price.
The script calculates the MACD line, the signal line, and the histogram, which visually represents the difference between the MACD line and the signal line.
RSI (Relative Strength Index)
The RSI is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is typically used to identify overbought or oversold conditions.
The script allows users to set custom upper and lower thresholds for the RSI, with default values of 70 and 30, respectively.
Bollinger Bands
Bollinger Bands consist of a middle band (EMA) and two outer bands (standard deviations away from the EMA). They help traders identify volatility and potential price reversals.
The script allows users to customize the length of the Bollinger Bands and the multiplier for the standard deviation.
Color-Coding Logic
The histogram color changes based on the following conditions:
Black: If the RSI is above the upper threshold and the closing price is above the upper Bollinger Band, or if the RSI is below the lower threshold and the closing price is below the lower Bollinger Band.
Green (#4caf50): If the RSI is above the upper threshold but the closing price is not above the upper Bollinger Band.
Light Green (#a5d6a7): If the histogram is positive and the RSI is not above the upper threshold.
Red (#f23645): If the RSI is below the lower threshold but the closing price is not below the lower Bollinger Band.
Light Red (#faa1a4): If the histogram is negative and the RSI is not below the lower threshold.
Inputs
Bollinger Bands Settings
Length: The number of periods for the moving average.
Basis MA Type: The type of moving average (SMA, EMA, SMMA, WMA, VWMA).
Source: The price source for the Bollinger Bands calculation.
StdDev: The multiplier for the standard deviation.
RSI Settings
RSI Length: The number of periods for the RSI calculation.
RSI Upper: The upper threshold for the RSI.
RSI Lower: The lower threshold for the RSI.
Source: The price source for the RSI calculation.
MACD Settings
Fast Length: The length for the fast moving average.
Slow Length: The length for the slow moving average.
Signal Smoothing: The length for the signal line smoothing.
Oscillator MA Type: The type of moving average for the MACD calculation.
Signal Line MA Type: The type of moving average for the signal line.
Usage
This indicator is suitable for various trading strategies, including day trading, swing trading, and long-term investing.
Traders can use the MACD histogram to identify potential buy and sell signals, while the RSI can help confirm overbought or oversold conditions.
The Bollinger Bands provide context for price volatility and potential breakout or reversal points.
Example:
From the example, it can clearly see that the Selling Climax and Buying Climax, marked as orange circle when a black histogram occurs.
Conclusion
The MACD + RSI + Bollinger Bands Indicator is a versatile tool that combines multiple technical analysis methods to provide traders with a comprehensive view of market conditions. By utilizing this script, traders can enhance their analysis and improve their decision-making process.
Pivot Bollinger BandThis is a special kind of Bollinger Bands indicator that adapts to the market's pivot points. Instead of using regular price data, it first finds important swing highs and lows in the market (called pivot points). It then uses these pivot points to create a center line, which is like a moving average of where the market is pivoting.
Around this center line, it draws the classic Bollinger Bands - an upper and lower band that show where prices might find resistance or support. The distance between these bands changes based on market volatility, just like regular Bollinger Bands. You can adjust how sensitive it is to pivot points and how wide the bands should be.
By using pivot point based Bollinger Bands, we expect band breakout can be captured more effectively.
Breakout & Distribution DetectorHow the Script Works:
1. Bollinger Bands:
• The upper and lower Bollinger Bands are used to detect volatility and potential breakouts. When the price closes above the upper band, it’s considered a bullish breakout. When the price closes below the lower band, it’s a bearish breakout.
2. RSI (Relative Strength Index):
• The RSI is used for momentum confirmation. A bullish breakout is confirmed if the RSI is above 50, and a bearish breakout is confirmed if the RSI is below 50.
• If the RSI enters overbought (above 70) or oversold (below 30) levels, it signals a distribution phase, indicating the market may be ready to reverse or consolidate.
3. Moving Average:
• A simple moving average (SMA) of 20 periods is used to ensure we’re trading in the direction of the trend. Breakouts above the upper Bollinger Band are valid if the price is above the SMA, while breakouts below the lower Bollinger Band are valid if the price is below the SMA.
4. Signals and Alerts:
• BUY Signal: A green “BUY” label appears below the candle if a bullish breakout is detected.
• SELL Signal: A red “SELL” label appears above the candle if a bearish breakout is detected.
• Distribution Phase: The background turns purple if the market enters a distribution phase (RSI in overbought or oversold territory).
• Alerts: You can set alerts based on these conditions to get notifications for breakouts or when the market enters a distribution phase.
Trend, Momentum and Price value analysis Extended [deepakks444]Trend, Momentum, and Price Value Analysis Extended
This Pine Script™ indicator is designed to offer traders a comprehensive overview of price trends, momentum, and market strength through the use of several widely-recognized technical analysis tools. The indicator integrates multiple signals and plots directly on the chart, as well as a customizable table to help visually organize and interpret the data. Here’s an overview of the key features included:
Key Features:
VWAP (Volume-Weighted Average Price): Calculates the average price weighted by volume to give insight into whether the price is above or below the market's fair value.
Alligator Indicator: Uses a combination of three moving averages (jaw, teeth, and lips) to help identify trending conditions.
Supertrend: A trend-following indicator that signals potential buy or sell opportunities based on price movements relative to a dynamically calculated support/resistance line.
20-period Moving Average (MA): A basic moving average to smooth out price data and highlight the underlying trend.
MACD (Moving Average Convergence Divergence): Helps identify changes in the strength, direction, and momentum of a trend.
Volume with Moving Average: Compares current volume against its moving average to identify potential volume spikes.
RSI (Relative Strength Index): Measures the speed and change of price movements, signaling overbought or oversold conditions.
ADX (Average Directional Index): An indicator used to quantify trend strength, helping traders determine whether the market is trending or in a range.
Pivot Points: Calculates daily pivot points and identifies support and resistance levels based on price movements.
Bollinger Bands: A volatility indicator that uses standard deviation to highlight potential overbought or oversold conditions.
Customization Options:
Modify the length of the price and volume moving averages.
Adjust RSI thresholds for buy and sell signals.
Set the thresholds for ADX to differentiate between weak, average, and strong trends.
Toggle the visibility of the 20-period MA and Supertrend on the chart.
Choose to display the percentage difference between the current price and indicator values in the table.
Table Display:
The indicator includes a table that summarizes the status of all signals, showing:
Signal (Buy/Sell/Neutral): Based on each indicator's interpretation of price action.
Percentage Difference: Optional display of how far the price is from the reference level (e.g., the difference between the price and VWAP, Supertrend line, or Moving Average).
The table allows traders to quickly assess the current market conditions across several indicators in one place, making it easier to gauge overall market sentiment.
Signal Logic:
This indicator uses a scoring system to calculate the percentage of indicators signaling a buy or sell. If the buy or sell score reaches 70% or higher, the indicator will plot buy or sell signals on the chart. The combined signal logic is displayed in the table as "Buy," "Sell," or "No Signal," based on the majority of the contributing indicators.
Intended Use:
This tool is designed to assist traders in their technical analysis by consolidating multiple popular indicators into one script. It provides a clear visual representation of various market signals, helping traders to make informed decisions about potential trade entries and exits. However, this indicator is for educational purposes and should not be used as financial advice. Traders should always use proper risk management and conduct their own research before making any trading decisions.
Disclaimer: This script is for educational purposes only and does not constitute financial advice. Trading involves risk, and past performance of an indicator does not guarantee future results. Please use it alongside proper risk management practices.
BBPCT For Loop | viResearchBBPCT For Loop | viResearch
Conceptual Foundation and Innovation
The "BBPCT For Loop" script is designed to combine Bollinger Bands with a percentage calculation to identify market trends and mean reversion opportunities. Bollinger Bands Percentage (BBPCT) evaluates where the current price stands between the upper and lower bands of Bollinger Bands, providing a more dynamic view of price extremes. This script incorporates a loop-based scoring mechanism that further refines the analysis, giving traders a clearer indication of potential trend shifts or reversion zones.
By incorporating both the BBPCT and a for-loop system, this indicator enhances the ability to spot overbought or oversold conditions, helping traders make more informed decisions based on market momentum.
Technical Composition and Calculation
The "BBPCT For Loop" script uses Bollinger Bands to establish dynamic upper and lower boundaries around price, calculated using standard deviation. Here’s how the core components are structured:
Bollinger Bands Percentage (BBPCT): BBPCT calculates the position of the price relative to the upper and lower Bollinger Bands. This creates a percentage range from 0% to 100%, with values near 0% indicating proximity to the lower band (potentially oversold) and values near 100% signaling closeness to the upper band (potentially overbought).
For-Loop Scoring System: The script employs a loop that iterates over a range of values. For each value, it evaluates whether the BBPCT is above or below a threshold, adjusting the score accordingly. This scoring mechanism helps detect when price action is shifting toward a bullish or bearish trend.
Mean Reversion Zones: The script defines specific "green" and "red" zones based on the BBPCT value. These zones visually highlight potential mean reversion areas where price may reverse direction.
Features and User Inputs
This script offers a variety of customizable inputs that allow traders to fine-tune it for different market conditions:
BBPCT Length: Controls the lookback period for calculating the Bollinger Bands. Adjusting this period affects how reactive the indicator is to price changes.
Standard Deviation Multiplier: This input adjusts the width of the Bollinger Bands, influencing the sensitivity of the BBPCT calculation.
Thresholds: The script includes user-defined thresholds for detecting uptrends and downtrends based on the BBPCT score. Traders can adjust these thresholds to make the indicator more or less sensitive to market shifts.
Bar Coloring: The script optionally colors bars based on detected trends, providing a visual cue for potential bullish or bearish conditions.
Alerts: Alerts are triggered when the BBPCT crosses above or below the user-defined thresholds, notifying traders of potential long or short opportunities.
Practical Applications
The "BBPCT For Loop" script is ideal for traders who employ mean reversion or trend-following strategies. Its application can be particularly effective in:
Spotting Overbought and Oversold Conditions: The BBPCT provides a dynamic measure of where the price is within the Bollinger Bands, helping to detect when the market is approaching an extreme, signaling potential reversion opportunities.
Confirming Trend Shifts: The for-loop scoring mechanism offers a more detailed analysis of whether the market is entering an uptrend or downtrend, helping traders to time their entries or exits more effectively.
Mean Reversion Trading: The inclusion of green and red zones helps highlight areas where the price may be more likely to revert to the mean, providing valuable insight for mean reversion traders.
Advantages and Strategic Value
This script enhances the traditional Bollinger Bands indicator by introducing a loop-based scoring system and mean reversion zones. These additions make the indicator more versatile and adaptable to various trading styles. By dynamically adjusting to market conditions, the BBPCT For Loop helps reduce the risk of false signals and improves the accuracy of identifying overbought or oversold conditions.
Summary and Usage Tips
The "BBPCT For Loop" script is a powerful tool that combines the flexibility of Bollinger Bands with a robust scoring system. Traders can use it to identify overbought or oversold conditions, confirm trend shifts, and improve the timing of trades. Adjust the Bollinger Bands length and standard deviation multiplier based on the asset you're trading to get the best results.
Remember to test the script across different market conditions and timeframes to understand how it performs. Backtests are essential for gauging its effectiveness, but keep in mind that past performance does not guarantee future results.
Theoretical price by volumeThis code is used to calculate a theoretical price range based on volume and price change and display it on the chart. Specifically, it calculates the “theoretical price volatility” based on price changes and volume, from which the upper and lower price limits are derived.
The price volatility is calculated by dividing the price change by the volume as the change unit volume.
Based on this volatility, we calculate the theoretical variation relative to the current price (“Theoretical Variance Difference”).
Based on the results, **Theoretical High Price (p_price) and Theoretical Low Price (m_price)** are calculated.
The chart displays the upper and lower bounds of these theoretical prices in color, and also calculates their mean and standard deviation (in the form of a Bollinger band) and plots them.
The background color on the chart indicates whether the price is within the theoretical price range, and at the same time, the mean and standard deviation of the theoretical prices are used to visualize price movements in more detail.
This indicator helps traders understand the impact of volume on price movements and helps them determine if prices are staying within the theoretical range or if there are unusual movements.
ACCScanner[MaximizedTrading]- ACCScanner -
ACCScanner is a highly advanced and versatile TradingView indicator, specifically designed to enhance and simplify your trading experience. Whether you are a beginner or an experienced trader, ACCScanner provides all the tools you need to make informed and timely trading decisions. With a user-friendly settings menu, cutting-edge signal filtering technology, and a comprehensive alert system, ACCScanner ensures that you stay ahead of the market and never miss a key trading opportunity.
This indicator is built to adapt to your unique trading strategy, allowing for full customization and optimization. ACCScanner offers a seamless trading experience by eliminating unnecessary noise, providing only the most relevant signals, and helping you execute trades with confidence.
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🔑 Key Features:
Comprehensive Alert System: Stay ahead of the market with dynamic alerts. A "Signal incoming!" alert is triggered when trade conditions align, followed by a clear "Buy/Sell Signal" when conditions are met. Visual indicators (red for sell, green for buy) appear on the chart.
Clear and Customizable Settings: Easily customize ACCScanner for your trading strategy with a user-friendly settings menu. Switch between Desktop and Mobile modes for optimal performance.
Trading Session Time: Optimize your trading with improved session time settings for maximum efficiency.
Bollinger Bands: These bands measure market volatility, helping you identify strong signals and potential trend reversals.
RSI Bands: The RSI Bands are designed to provide an additional layer of confirmation by showing the strength of a signal. This helps you assess whether a trade setup is reliable or if caution is warranted.
EMA 200: The EMA 200 serves as a trend indicator, helping you identify the overall market direction. You can also choose to take less strong signals, as long as they align with the prevailing trend, ensuring you stay on the right side of the market.
Advanced Signal Filtering: Eliminate unnecessary signals with additional oscillator bands when signal filtering is enabled. The oscillator’s position shows signal strength—more transparent icons indicate weaker signals, focusing only on high-probability trades.
Integrated Stop Loss and Take Profit Options: Protect your trades with a range of stop loss settings, including Wick Multiplier, Fixed Stoploss, or Average Candle Size. Additionally, you can set a custom Risk Ratio for Take Profit levels, ensuring your risk management is aligned with your strategy.
Position Size Calculation: Once your settings are properly configured, ACCScanner can calculate the ideal position size, helping you manage risk and optimize trades effectively.
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🎯 Why Choose ACCScanner?
ACCScanner stands out with its powerful alert system, allowing you to stay ahead of the market without constantly monitoring your charts. After setting up the alerts, you’ll receive a "Signal incoming" notification when a potential trade is forming. Once the conditions are fully met, a clear "Buy/Sell Signal" alert will notify you, enabling swift action—even if you're away from the screen.
The ACCScanner oscillator helps you quickly assess signal strength. The light blue line (RSI) moving outside the dark blue line (Bands) indicates stronger setups, and with the Signal Strength filter, you can further refine signals. Transparent icons represent weaker signals, ensuring you focus only on high-probability trades.
ACCScanner also offers precise Stoploss, Price, and Position Size calculations, built directly into the indicator. This feature helps you manage risk efficiently. With integrated Average Candle Size calculations and customizable stop loss options, ACCScanner ensures you are trading with optimized risk management. Once all settings are correctly configured under 'Account Info', you can use the table values to execute trades with confidence.
What makes ACCScanner worth paying for is its ability to save time and enhance trading efficiency. By providing early alerts, you have time to prepare for key trading opportunities before they fully develop. This proactive approach allows you to focus on making confident decisions at the right moment, without being overwhelmed by excessive information. Additionally, the well-organized table simplifies trading by displaying all the necessary values, so you can focus on executing your strategy seamlessly.
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How to Use the ACCScanner?
⚙️ Setup Alerts
To use the ACCScanner effectively, it's crucial to set up the indicator correctly beforehand. Make sure to configure all the settings under the 'Account Info' section at the bottom of the settings menu. Proper setup is necessary to function correctly!
To set up alerts, first ensure all settings are correctly configured. Then, hover over the indicator with your mouse and click on the three dots that appear. Select 'Add Alert on ACCS ' and configure the alert settings.
🏹 3 Steps to Place a Trade with ACCScanner
Step 1: Wait for the "Signal Incoming" Alert
Once you've set up your alerts, ACCScanner will notify you when a potential trade is forming with the "Signal Incoming" alert. This is your early signal to prepare for a possible trade. At this point, begin observing the market and focus on the key indicators, such as the RSI Bands and Bollinger Bands. Check if the price or RSI is touching or approaching the outer bands, which could indicate a strong setup.
Step 2: Analyze the Situation
While waiting for the final signal, confirm whether the market conditions align with the trade strategy. If the RSI or Bollinger Bands are interacting with their respective boundaries, this strengthens the potential trade signal. Stay ready and keep a close watch on the chart for the final signal.
Step 3: React Quickly to the "Buy/Sell Signal" Alert
When you receive the "Buy/Sell Signal" alert, it means the conditions for the trade are fully met. Act quickly and use the data provided in the ACCScanner table—including Stoploss distance, Stoploss price, and Position size—to place your trade. Ensure all the settings have been configured properly under 'Account Info' beforehand so you can execute the trade smoothly and confidently.
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📌 CONCLUSION
We believe that true success comes from the synergy between the trader and the indicator, rather than relying solely on the tool itself for profitability. While many traders expect an indicator to generate profits on its own, the reality is much more nuanced.
Our goal with ACCScanner is to offer a comprehensive, customizable, and easy-to-use tool that helps traders develop a deeper understanding of market dynamics. By using ACCScanner as a support tool for informed decision-making, any trader can enhance their trading strategy and gain the confidence to act effectively.
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⚠️ Disclaimer
Past performance does not guarantee future results. All content, tools, scripts, articles, & education provided by MaximizedTrading are purely for informational & educational purposes only. Past performance is no guarantee of future results.
Uptrick: Market MoodsThe "Uptrick: Market Moods" indicator is an advanced technical analysis tool designed for the TradingView platform. It combines three powerful indicators—Relative Strength Index (RSI), Average True Range (ATR), and Bollinger Bands—into one cohesive framework, aimed at helping traders better understand and interpret market sentiment. By capturing shifts in the emotional climate of the market, it provides a holistic view of market conditions, which can range from calm to stressed or even highly excited. This multi-dimensional analysis tool stands apart from traditional single-indicator approaches by offering a more complete picture of market dynamics, making it a valuable resource for traders looking to anticipate and react to changes in market behavior.
The RSI in the "Uptrick: Market Moods" indicator is used to measure momentum. RSI is an essential component of many technical analysis strategies, and in this tool, it is used to identify potential market extremes. When RSI values are high, they indicate an overbought condition, meaning the market may be approaching a peak. Conversely, low RSI values suggest an oversold condition, signaling that the market could be nearing a bottom. These extremes provide crucial clues about shifts in market sentiment, helping traders gauge whether the current emotional state of the market is likely to result in a reversal. This understanding is pivotal in predicting whether the market is transitioning from calm to stressed or from excited to overbought.
The Average True Range adds another layer to this analysis by offering insights into market volatility. Volatility is a key factor in understanding the mood of the market, as periods of high volatility often reflect high levels of excitement or stress, while low volatility typically indicates a calm, steady market. ATR is calculated based on the range of price movements over a given period, and the higher the value, the more volatile the market is. The "Uptrick: Market Moods" indicator uses ATR to dynamically gauge volatility levels, helping traders understand whether the market is currently moving in a way that aligns with its emotional mood. For example, an increase in ATR accompanied by an RSI value that indicates overbought conditions could suggest that the market is in a highly excited state, with the potential for either strong momentum continuation or a sharp reversal.
Bollinger Bands complement these tools by providing visual cues about price volatility and the range within which the market is likely to move. Bollinger Bands plot two standard deviations away from a simple moving average of the price. This banding technique helps traders visualize how far the price is likely to deviate from its average over a certain period. The "Uptrick: Market Moods" indicator uses Bollinger Bands to establish price boundaries and identify breakout conditions. When prices break above the upper band or below the lower band, it often signals that the market is either highly stressed or excited. This breakout condition serves as a visual representation of the market mood, alerting traders to moments when prices are moving beyond typical ranges and when significant emotional shifts are occurring in the market.
Technically, the "Uptrick: Market Moods" indicator has been developed using TradingView’s Pine Script language, a highly efficient language for building custom indicators. It employs functions like ta.rsi, ta.atr, and ta.sma to perform the necessary calculations. The use of these built-in functions ensures that the calculations are both accurate and efficient, allowing the indicator to operate in real-time without lagging, even in volatile market conditions. The ta.rsi function is used to compute the Relative Strength Index, while ta.atr calculates the Average True Range, and ta.sma is used to smooth out price data for the Bollinger Bands. These functions are applied dynamically within the script, allowing the "Uptrick: Market Moods" indicator to respond to changes in market conditions in real time.
The user interface of the "Uptrick: Market Moods" indicator is designed to provide a visually intuitive experience. The market mood is color-coded on the chart, making it easy for traders to identify whether the market is calm, stressed, or excited at a glance. This feature is especially useful for traders who need to make quick decisions in fast-moving markets. Additionally, the indicator includes an interactive table that updates in real-time, showing the most recent mood state and its frequency. This provides valuable statistical insights into market behavior over specific time frames, helping traders track the dominant emotional state of the market. Whether the market is in a prolonged calm state or rapidly transitioning through moods, this real-time feedback offers actionable data that can help traders adjust their strategies accordingly.
The RSI component of the "Uptrick: Market Moods" indicator helps detect the speed and direction of price movements, offering insight into whether the market is approaching extreme conditions. By providing signals based on overbought and oversold levels, the RSI helps traders decide whether to enter or exit positions. The ATR element acts as a volatility gauge, dynamically adjusting traders’ expectations in response to changes in market volatility. Meanwhile, the Bollinger Bands help identify trends and potential breakout conditions, serving as an additional confirmation tool that highlights when the price has moved beyond normal boundaries, indicating heightened market excitement or stress.
Despite the robust capabilities of the "Uptrick: Market Moods" indicator, it does have limitations. In markets affected by sudden shifts, such as those driven by major news events or external economic factors, the indicator’s performance may not always be reliable. These external factors can cause rapid mood swings that are difficult for any technical analysis tool to fully anticipate. Additionally, the indicator’s complexity may pose a learning curve for novice traders, particularly those who are unfamiliar with the concepts of RSI, ATR, and Bollinger Bands. However, with practice, traders can become proficient in using the tool to its full potential, leveraging the insights it provides to better navigate market shifts.
For traders seeking a deeper understanding of market sentiment, the "Uptrick: Market Moods" indicator is an invaluable resource. It is recommended for those dealing with medium to high volatility instruments, where understanding emotional shifts can offer a strategic advantage. While it can be used on its own, integrating it with other forms of analysis, such as fundamental analysis and additional technical indicators, can enhance its effectiveness. By confirming signals with other tools, traders can reduce the likelihood of false signals and improve their overall trading strategy.
To further enhance the accuracy of the "Uptrick: Market Moods" indicator, it can be integrated with volume-based tools like Volume Profile or On-Balance Volume (OBV). This combination allows traders to confirm the moods identified by the indicator with volume data, providing additional confirmation of market sentiment. For example, when the market is in an excited mood, an increase in trading volume could reinforce the reliability of that signal. Conversely, if the market is stressed but volume remains low, traders may want to proceed with caution. Using multiple indicators together creates a more comprehensive trading approach, helping traders better manage risk and make informed decisions based on multiple data points.
In conclusion, the "Uptrick: Market Moods" indicator is a powerful and unique addition to the suite of technical analysis tools available on TradingView. It provides traders with a multi-dimensional view of market sentiment by combining the analytical strengths of RSI, ATR, and Bollinger Bands into a single tool. Its ability to capture and interpret the emotional mood of the market makes it an essential tool for traders seeking to gain an edge in understanding market behavior. While the indicator has certain limitations, particularly in rapidly shifting markets, its ability to provide real-time insights into market sentiment is a valuable asset for traders of all experience levels. Used in conjunction with other tools and sound trading practices, the "Uptrick: Market Moods" indicator offers a comprehensive solution for navigating the complexities of financial markets.
Options Series - Explode BB⭐ Bullish Zone:
⭐ Bearish Zone:
⭐ Neutral Zone:
The provided script integrates Bollinger Bands with different lengths (20 and 200 periods) and applies customized candle coloring based on certain conditions. Here's a breakdown of its importance and insights:
⭐ 1. Dual Bollinger Bands (BBs):
Bollinger Bands (BB) with 20-period length:
This is the standard setting for Bollinger Bands, with a 20-period simple moving average (SMA) as the central line and upper/lower bands derived from the standard deviation.
These bands are used to identify volatility. Wider bands indicate higher volatility, while narrower bands indicate low volatility.
200-period BB:
This is a longer-term indicator providing insight into the overall trend and long-term volatility.
The 200-period bands filter out noise and offer a "macro" view of price movements compared to the 20-period bands, which focus on short-term price actions.
⭐ 2. Overlay of Bollinger Bands and SMA:
The script plots the Bollinger Bands along with the SMA (Simple Moving Average) of the 200-period BB. This gives traders both a short-term (20-period) and long-term (200-period) perspective, which is valuable for detecting major trend shifts or key support and resistance zones.
Using multiple time frames (20-period for short-term and 200-period for long-term) can help traders spot both immediate opportunities and overarching trends.
⭐ 3. Candle Coloring Based on Key Conditions:
Bullish Signal (GreenFluroscent): When the price closes above the upper 200-period Bollinger Band, the candle turns green, indicating a potential bullish breakout.
Bearish Signal (RedFluroscent): If the price closes below the lower 200-period Bollinger Band, the candle turns red, suggesting a bearish breakout.
Neutral or Uncertain Market: Candles are gray when the price remains between the upper and lower bands, indicating a lack of a strong directional bias.
This color-coded visualization allows traders to quickly assess market sentiment based on the Bollinger Bands' extremes.
⭐ 4. Strategic Importance of the Setup:
Multi-timeframe Analysis: Combining short-term (20-period) and long-term (200-period) Bollinger Bands enables traders to assess the market's overall volatility and trend strength. The longer-term bands act as a reference for broader trend direction, while the shorter-term bands can signal shorter-term pullbacks or entry/exit points.
Breakout Identification: By color-coding the candles when prices cross either the upper or lower 200-period bands, the script makes it easier to spot potential breakouts. This can be particularly helpful in trading strategies that rely on volatility expansions or trend-following tactics.
⭐ 5. Customization and Flexibility:
Custom Colors: The script uses distinct fluorescent green and red colors to highlight key bullish and bearish conditions, providing clear visual cues.
Simplicity with Flexibility: Despite its simplicity, the script leaves room for customization, allowing traders to adjust the Bollinger Band multipliers or apply different conditions to candle coloring for more nuanced setups.
This script enhances standard Bollinger Band usage by introducing multi-timeframe analysis, breakout signals, and visual cues for trend strength, making it a powerful tool for both trend-following and mean-reversion strategies.
🚀 Conclusion:
This script effectively simplifies volatility analysis by visually marking bullish, bearish, and neutral zones, making it a robust tool for identifying trade opportunities across multiple timeframes. Its dual-band approach ensures both trend-following and mean-reversion strategies are supported.
Bollinger Bands ForLoopBollinger Bands ForLoop
OVERVIEW
BB ForLoop is an improved version of Bollinger Bands it is designed to calculate an array of values 1 or -1 depending if soruce for calculations is above or below basis.
It takes avereage of values over a range of lengths, providing trend signals smothed based on various moving averages in order to get rid of noise.
It offers flexibility with different signal modes and visual customizations.
TYPE OF SIGNALS
-FAST (MA > MA or MA > 0.99)
-SLOW (MA > 0)
-THRESHOLD CROSSING (when cross above/below treshold set independently for both directions)
-FAST THRESHOLD (when there's change in signal by set margin e.g (0.4 -> 0.2) means bearsih when FT is set to 0.1, when MA is > 0.99 it will signal bullish, when MA < -0.99 it will signal bearish)
Generaly Lime color of line indicates Bullish, Fuchsia indicates Bearish.
This colors are not set in stone so you can change them in settings.
-Bullish Trend, line color is lime
-Bearish Trend, line color is fuchsia
Credit
Idea for this script was from one of indicators created by www.tradingview.com
Warning
Be careful when using this indicator especialy combining DEMA with FT (Fast Treshold).
This indicator can be really noisy depending on the settings, signal mode so it should be used preferably as a part of an strategy not as a stand alone indicator
Remember the lower the timeframe you use the more noise there is.
No single indicator should be used alone when making investment decisions.
Sinc Bollinger BandsKaiser Windowed Sinc Bollinger Bands Indicator
The Kaiser Windowed Sinc Bollinger Bands indicator combines the advanced filtering capabilities of the Kaiser Windowed Sinc Moving Average with the volatility measurement of Bollinger Bands. This indicator represents a sophisticated approach to trend identification and volatility analysis in financial markets.
Core Components
At the heart of this indicator is the Kaiser Windowed Sinc Moving Average, which utilizes the sinc function as an ideal low-pass filter, windowed by the Kaiser function. This combination allows for precise control over the frequency response of the moving average, effectively separating trend from noise in price data.
The sinc function, representing an ideal low-pass filter, provides the foundation for the moving average calculation. By using the sinc function, analysts can independently control two critical parameters: the cutoff frequency and the number of samples used. The cutoff frequency determines which price movements are considered significant (low frequency) and which are treated as noise (high frequency). The number of samples influences the filter's accuracy and steepness, allowing for a more precise approximation of the ideal low-pass filter without altering its fundamental frequency response characteristics.
The Kaiser window is applied to the sinc function to create a practical, finite-length filter while minimizing unwanted oscillations in the frequency domain. The alpha parameter of the Kaiser window allows users to fine-tune the trade-off between the main-lobe width and side-lobe levels in the frequency response.
Bollinger Bands Implementation
Building upon the Kaiser Windowed Sinc Moving Average, this indicator adds Bollinger Bands to provide a measure of price volatility. The bands are calculated by adding and subtracting a multiple of the standard deviation from the moving average.
Advanced Centered Standard Deviation Calculation
A unique feature of this indicator is its specialized standard deviation calculation for the centered mode. This method employs the Kaiser window to create a smooth deviation that serves as an highly effective envelope, even though it's always based on past data.
The centered standard deviation calculation works as follows:
It determines the effective sample size of the Kaiser window.
The window size is then adjusted to reflect the target sample size.
The source data is offset in the calculation to allow for proper centering.
This approach results in a highly accurate and smooth volatility estimation. The centered standard deviation provides a more refined and responsive measure of price volatility compared to traditional methods, particularly useful for historical analysis and backtesting.
Operational Modes
The indicator offers two operational modes:
Non-Centered (Real-time) Mode: Uses half of the windowed sinc function and a traditional standard deviation calculation. This mode is suitable for real-time analysis and current market conditions.
Centered Mode: Utilizes the full windowed sinc function and the specialized Kaiser window-based standard deviation calculation. While this mode introduces a delay, it offers the most accurate trend and volatility identification for historical analysis.
Customizable Parameters
The Kaiser Windowed Sinc Bollinger Bands indicator provides several key parameters for customization:
Cutoff: Controls the filter's cutoff frequency, determining the divide between trends and noise.
Number of Samples: Sets the number of samples used in the FIR filter calculation, affecting the filter's accuracy and computational complexity.
Alpha: Influences the shape of the Kaiser window, allowing for fine-tuning of the filter's frequency response characteristics.
Standard Deviation Length: Determines the period over which volatility is calculated.
Multiplier: Sets the number of standard deviations used for the Bollinger Bands.
Centered Alpha: Specific to the centered mode, this parameter affects the Kaiser window used in the specialized standard deviation calculation.
Visualization Features
To enhance the analytical value of the indicator, several visualization options are included:
Gradient Coloring: Offers a range of color schemes to represent trend direction and strength for the moving average line.
Glow Effect: An optional visual enhancement for improved line visibility.
Background Fill: Highlights the area between the Bollinger Bands, aiding in volatility visualization.
Applications in Technical Analysis
The Kaiser Windowed Sinc Bollinger Bands indicator is particularly useful for:
Precise trend identification with reduced noise influence
Advanced volatility analysis, especially in the centered mode
Identifying potential overbought and oversold conditions
Recognizing periods of price consolidation and potential breakouts
Compared to traditional Bollinger Bands, this indicator offers superior frequency response characteristics in its moving average and a more refined volatility measurement, especially in centered mode. These features allow for a more nuanced analysis of price trends and volatility patterns across various market conditions and timeframes.
Conclusion
The Kaiser Windowed Sinc Bollinger Bands indicator represents a significant advancement in technical analysis tools. By combining the ideal low-pass filter characteristics of the sinc function, the practical benefits of Kaiser windowing, and an innovative approach to volatility measurement, this indicator provides traders and analysts with a sophisticated instrument for examining price trends and market volatility.
Its implementation in Pine Script contributes to the TradingView community by making advanced signal processing and statistical techniques accessible for experimentation and further development in technical analysis. This indicator serves not only as a practical tool for market analysis but also as an educational resource for those interested in the intersection of signal processing, statistics, and financial markets.
Related:
Chieu - Bollinger Bands SMA 50 StrategyOverview
The Custom Bollinger Bands Indicator is a versatile tool designed to help traders identify potential market reversals and optimize their trading strategies. This indicator combines Bollinger Bands with an ATR-based stop-loss mechanism, configurable take-profit levels, and dynamic position sizing to manage risk effectively. By highlighting key market conditions and providing clear visual cues, it enables traders to make informed decisions and execute trades with precision.
Key Features
Bollinger Bands Calculation:
The indicator calculates Bollinger Bands based on a configurable Simple Moving Average (SMA) length.
Standard deviation multiplier is adjustable, allowing traders to fine-tune the width of the bands.
Candlestick Highlighting:
Candles that touch the upper or lower Bollinger Bands are highlighted, indicating potential overbought or oversold conditions.
Reversal candles are identified and highlighted based on specific criteria:
The candle must touch the Bollinger Bands for two consecutive periods.
The reversal candle must have a body at least twice the size of the previous candle's body.
The reversal candle must close in the opposite direction to the previous candle (e.g., a bullish candle following a bearish one).
Stop-Loss and Take-Profit Levels:
Stop-loss levels are calculated using the ATR (Average True Range) indicator, ensuring they are dynamically adjusted based on market volatility.
Two configurable take-profit levels (1R and 2R) are plotted based on the initial risk (distance between entry and stop-loss).
Take-profit and stop-loss lines are visually represented on the chart for easy reference.
Position Sizing and Risk Management:
The indicator includes configurable inputs for account balance, leverage, and risk percentage.
It calculates the nominal value (position size without leverage) and cost value (position size with leverage) based on the specified risk parameters.
Combined labels display SL, TP, nominal value, and cost value, replacing the default "Reversal" text for clear, concise information.
Customization Options:
Users can configure the length of the take-profit lines.
The option to toggle the highlighting of candles touching the Bollinger Bands on or off, while always highlighting the identified reversal candles.
How to Use
Configuration:
Set the desired SMA length and Bollinger Bands multiplier in the input settings.
Configure the ATR length for accurate stop-loss calculations.
Adjust the risk-reward ratio and take-profit line length according to your trading strategy.
Specify your account balance, leverage, and risk percentage for precise position sizing.
Chart Analysis:
Monitor the chart for candles touching the upper or lower Bollinger Bands. These highlights indicate potential overbought or oversold conditions.
Look for highlighted reversal candles, which meet the specified criteria and suggest a potential market reversal.
Use the plotted stop-loss and take-profit lines to manage your trades effectively. The combined labels provide all necessary information (SL, TP, nominal value, and cost value) for quick decision-making.
Execution and Risk Management:
Enter trades based on the reversal candle signals.
Set your stop-loss at the indicated level using the ATR calculation.
Take partial profits at the first take-profit level (1R) and adjust your stop-loss to the entry point to secure the remaining position.
Exit the trade entirely at the second take-profit level (2R) or if the price returns to the adjusted stop-loss level.
Buffett Valuation Indicator [TradeDots]The Buffett Valuation Indicator (also known as the Buffett Index or Buffett Ratio) measures the ratio of the total United States stock market to GDP.
This indicator helps determine whether the valuation changes in US stocks are justified by the GDP level.
For example, the ratio is calculated based on the standard deviations from the historical trend line. If the value exceeds +2 standard deviations, it suggests that the stock market is overvalued relative to GDP, and vice versa.
This "Buffett Valuation Indicator" is an enhanced version of the original indicator. It applies a Bollinger Band over the Valuation/GDP ratio to identify overvaluation and undervaluation across different timeframes, making it efficient for use in smaller timeframes, e.g. daily or even hourly intervals.
HOW DOES IT WORK
The Buffett Valuation Indicator measures the ratio between US stock valuation and US GDP, evaluating whether stock valuations are overvalued or undervalued in GDP terms.
In this version, the total valuation of the US stock market is represented by considering the top 10 market capitalization stocks.
Users can customize this list to include other stocks for a more balanced valuation ratio. Alternatively, users may use S&P 500 ETFs, such as SPY or VOO, as inputs.
The ratio is plotted as a line chart in a separate panel below the main chart. A Bollinger Band with a default 100-period and multiples of 1 and 2 is used to identify overvaluation and undervaluation.
For instance, if the ratio line moves above the +2 standard deviation line, it indicates that stocks are overvalued, signaling a potential selling opportunity.
APPLICATION
When the indicator is applied to a chart, we observe the ratio line's movements relative to the standard deviation lines. The further the line deviates from the standard deviation lines, the more extreme the overvaluation or undervaluation.
We look for buying opportunities when the Buffett Index moves below the first and second standard deviation lines and sell opportunities when it moves above these lines. This indicator is used as a microeconomic confirmation tool, in combination with other indicators, to achieve higher win-rate setups.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Comprehensive Market Overview1. What is this indicator about?
The "Comprehensive Market Overview" indicator provides a holistic view of the market by incorporating several key metrics:
Close Price: Displays the current close price below each candle.
Percent from All-Time High: Calculates how far the current close price is from the highest high observed over a specified period.
RSI (Relative Strength Index): Measures the momentum of price movements to assess whether a stock is overbought or oversold.
Volume Gain: Computes the current volume relative to its 20-period simple moving average (SMA), indicating volume strength or weakness.
Volatility: Quantifies market volatility by calculating the ratio of the Bollinger Bands' width (difference between upper and lower bands) to the SMA.
2. How it works?
Close Price Label: This label is displayed below each bar, showing the current close price.
Percent from All-Time High: Calculates the percentage difference between the highest high observed (all-time high) and the current close price.
RSI Calculation: Computes the RSI using a 14-period setting, providing insight into whether a stock is potentially overbought or oversold.
Volume Strength: Computes the current volume divided by its 20-period SMA, indicating whether volume is above or below average.
Volatility Calculation: Calculates the width of the Bollinger Bands (based on a 20-period SMA and 2 standard deviations) and expresses it as a percentage of the SMA, providing a measure of market volatility
3.Correct Trend Identification with Indicators
All-Time High (ATH) Levels:
Low Value (Near ATH): When the percent from ATH is low (close to 0%), it indicates that the current price is near the all-time high zone. This suggests strong bullish momentum and potential resistance levels.
High Value (Below ATH): A high percentage from ATH indicates how much the current price is below the all-time high. This could signal potential support levels or opportunities for price recovery towards previous highs.
RSI (Relative Strength Index):
Overbought (High RSI): RSI values above 70 typically indicate that the asset is overbought, suggesting a potential reversal or correction in price.
Oversold (Low RSI): RSI values below 30 indicate oversold conditions, suggesting a potential rebound or price increase.
Swing Trading Strategies
Confirmation with Visual Analysis: Visualizing the chart to confirm ATH levels and RSI readings can provide strong indications of market sentiment and potential trading opportunities:
Bullish Signals: Look for prices near ATH with RSI confirming strength (not yet overbought), indicating potential continuation or breakout.
Bearish Signals: Prices significantly below ATH with RSI showing weakness (not yet oversold), indicating potential for a bounce or reversal.
Volume Confirmation: Comparing current volume to its SMA helps confirm the strength of price movements. Higher current volume relative to the SMA suggests strong price action.
Volatility Assessment: Monitoring volatility through the Bollinger Bands' width ratio helps assess potential price swings. Narrow bands suggest low volatility, while wide bands indicate higher volatility and potential trading opportunities.
4.Entry and Exit Points:
Entry: Consider entering long positions near support levels when prices are below ATH and RSI is oversold. Conversely, enter short positions near resistance levels when prices are near ATH and RSI is overbought.
Exit: Exit long positions near resistance or ATH levels when prices show signs of resistance or RSI becomes overbought. Exit short positions near support levels or when prices rebound from oversold conditions.
Risk Management: Always incorporate risk management techniques such as setting stop-loss orders based on support and resistance levels identified through ATH and RSI analysis.
Implementation Example
Volume-Adjusted Bollinger BandsThe Volume-Adjusted Bollinger Bands (VABB) indicator is an advanced technical analysis tool that enhances the traditional Bollinger Bands by incorporating volume data. This integration allows the bands to dynamically adjust based on market volume, providing a more nuanced view of price movements and volatility. The key qualities of the VABB indicator include:
1. Dynamic Adjustment with Volume: Traditional Bollinger Bands are based solely on price data and standard deviations. The VABB indicator adjusts the width of the bands based on the volume ratio, making them more responsive to changes in market activity. This means that during periods of high volume, the bands will expand, and during periods of low volume, they will contract. This adjustment helps to reinforce the significance of price movements relative to the central line (VWMA).
2. Volume-Weighted Moving Average (VWMA): Instead of using a simple moving average (SMA) as the central line, the VABB uses the VWMA, which weights prices by volume. This provides a more accurate representation of the average price level, considering the trading volume.
3. Enhanced Signal Reliability: By incorporating volume, the VABB can filter out false signals that might occur in low-volume conditions. This makes the indicator particularly useful for identifying significant price movements that are supported by strong trading activity.
How to Use and Interpret the VABB Indicator
To use the VABB indicator, you need to set it up on your trading platform with the following parameters:
1. BB Length: The number of periods for calculating the Bollinger Bands (default is 20).
2. BB Multiplier: The multiplier for the standard deviation to set the width of the Bollinger Bands (default is 2.0).
3. Volume MA Length: The number of periods for calculating the moving average of the volume (default is 14).
Volume Ratio Smoothing Length: The number of periods for smoothing the volume ratio (default is 5).
Interpretation
1.Trend Identification: The VWMA serves as the central line. When the price is above the VWMA, it indicates an uptrend, and when it is below, it indicates a downtrend. The direction of the VWMA itself can also signal the trend's strength.
2. Volatility and Volume Analysis: The width of the VABB bands reflects both volatility and volume. Wider bands indicate high volatility and/or high volume, suggesting significant price movements. Narrower bands indicate low volatility and/or low volume, suggesting consolidation.
3. Trading Signals:
Breakouts: A price move outside the adjusted upper or lower bands can signal a potential breakout. High volume during such moves reinforces the breakout's validity.
Reversals: When the price touches or crosses the adjusted upper band, it may indicate overbought conditions, while touching or crossing the adjusted lower band may indicate oversold conditions. These conditions can signal potential reversals, especially if confirmed by other indicators or volume patterns.
Volume Confirmation: The volume ratio component helps confirm the strength of price movements. For instance, a breakout accompanied by a high volume ratio is more likely to be sustained than one with a low volume ratio.
Practical Example
Bullish Scenario: If the price crosses above the adjusted upper band with a high volume ratio, it suggests a strong bullish breakout. Traders might consider entering a long position, setting a stop-loss just below the VWMA or the lower band.
Bearish Scenario: Conversely, if the price crosses below the adjusted lower band with a high volume ratio, it suggests a strong bearish breakout. Traders might consider entering a short position, setting a stop-loss just above the VWMA or the upper band.
Conclusion
The Volume-Adjusted Bollinger Bands (VABB) indicator is a powerful tool that enhances traditional Bollinger Bands by incorporating volume data. This dynamic adjustment helps traders better understand market conditions and make more informed trading decisions. By using the VABB indicator, traders can identify significant price movements supported by volume, improving the reliability of their trading signals.
The Volume-Adjusted Bollinger Bands (VABB) indicator is provided for educational and informational purposes only. It is not financial advice and should not be construed as a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results.
Bollinger Bands Fast Trend Indicator [DCD]Description:
The Bollinger Bands Fast Trend Detector indicator is an advanced tool designed to provide traders with more precise trend detection and clearer entry and exit signals. This script builds upon the traditional Bollinger Bands indicator by adding customizable standard deviations and incorporating multiple moving averages to enhance the accuracy of the signals.
Main Features:
1. **Customizable Bollinger Bands**:
- Each Bollinger Band has its own standard deviation setting, allowing for more granular control and better trend detection.
- The short Bollinger Band is set to a 10-period SMA for faster trend recognition.
2. **Multiple Moving Averages**:
- The indicator includes several types of moving averages (SMA, EMA, LSMA, HMA, WMA) applied to the Bollinger Trend value, giving traders flexibility to choose the best fit for their strategy.
3. **Crossover and Crossdown Detection**:
- The script identifies crossover and crossdown points between the Bollinger Trend value and the selected moving average, marking potential buy and sell signals with green and red circles, respectively.
4. **Color-Coded Histogram**:
- The histogram bars are color-coded to indicate the strength and direction of the trend, making it easy to visualize market conditions at a glance.
Instructions:
1. **Adding the Script to Your Chart**:
- Open your TradingView chart and add the Bollinger Bands Fast Trend Detector indicator.
2. **Adjusting Parameters**:
- Customize the Bollinger Bands and moving average settings according to your trading preferences:
- `Short BB Length` (default: 10): Adjusts the length of the short Bollinger Band.
- `Long BB Length` (default: 50): Adjusts the length of the long Bollinger Band.
- `StdDev` (for both bands): Sets the standard deviation multiplier.
- `Moving Average Type`: Choose between SMA, EMA, LSMA, HMA, and WMA.
- `Moving Average Length` (default: 14): Sets the length of the moving average.
3. **Interpreting the Output**:
- Observe the BBTrend and moving average plots on your chart.
- Look for green circles indicating crossover points (potential buy signals) and red circles indicating crossdown points (potential sell signals).
- Use the color-coded histogram bars to assess the strength and direction of the trend.
Configurable Parameters:
- `shortLengthInput` (default: 10): Length of the short Bollinger Band.
- `longLengthInput` (default: 50): Length of the long Bollinger Band.
- `shortDevMultInput` (default: 1.0): Standard deviation multiplier for the short Bollinger Band.
- `longDevMultInput` (default: 2.0): Standard deviation multiplier for the long Bollinger Band.
- `maTypeInput` (default: SMA): Type of moving average (options: SMA, EMA, LSMA, HMA, WMA).
- `maLengthInput` (default: 14): Length of the moving average.
Code Explanation:
The script calculates two sets of Bollinger Bands with distinct lengths and standard deviations. The difference between the lower bands and upper bands is normalized by the short middle band to compute the BBTrend value. A selected moving average is then applied to this BBTrend value. The script plots the BBTrend, the moving average, and uses color-coded histogram bars to represent trend strength and direction. It also identifies and marks crossover and crossdown points to provide potential trading signals.
Disclaimer:
This script is for educational purposes only and should not be considered financial advice. Always perform your own analysis before making any trading decisions.
