Moving Average Shift [ChartPrime]Moving Average Shift indicator combines multiple moving average (MA) types with a unique MA Shift Oscillator to help traders visualize trend direction, price deviations, and mean reversion states.
⯁ KEY FEATURES
Customizable Moving Averages: Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA.
Trend-Based Coloring: Candles are dynamically colored based on price position relative to the MA.
MA Shift Oscillator: Identifies price deviations and potential mean reversion zones.
Threshold Filtering: Helps filter mean reversion signals using a user-defined threshold.
Diamond Signals for Mean Reversion: Plots diamonds on the chart when the oscillator crosses back above or below the threshold level.
Oscillator Color Coding: The oscillator has four color states:
Color 1: Above 0 and increasing.
Color 2: Above 0 and decreasing.
Color 3: Below 0 and increasing.
Color 4: Below 0 and decreasing.
⯁ HOW TO USE
Use the indicator to follow the trend based on MA direction and price relation to it.
The MA Shift Oscillator helps identify potential mean reversion points where price may revert toward the MA.
The threshold setting allows traders to filter out weak mean reversion signals and focus on significant shifts.
The four-color oscillator visually indicates trend momentum and potential trend shifts.
⯁ CONCLUSION
The Moving Average Shift indicator is a powerful tool that merges trend-following and mean reversion strategies into one comprehensive system. By allowing traders to select different types of moving averages, it provides flexibility in trend analysis while visually enhancing price action with dynamic candle coloring. The MA Shift Oscillator further strengthens decision-making by detecting deviations and highlighting potential mean reversion points.
Trend
B4100 - NW Trend Ribbon StrategyB4100 - NW Trend Ribbon Strategy: Adaptive Trend Following with Kernel Smoothing
This strategy is a sophisticated trend-following system designed to identify and capitalize on sustained market trends. It combines a ribbon of custom-built moving averages with multiple layers of filtering and confirmation to generate high-probability entry and exit signals. It's highly customizable, allowing you to fine-tune its sensitivity and responsiveness to adapt to various market conditions and timeframes.
What the Strategy Does:
The NW Trend Ribbon Strategy aims to:
Identify the prevailing trend: It uses a ribbon of five moving averages (MAs), each with configurable length and smoothing type, to visually represent and quantify the current market trend.
Filter out noise and false signals: It employs several filters, including an RSI filter, a trend strength filter (based on the RSI of a selected MA), and a trend confirmation period, to reduce the likelihood of entering trades based on short-term fluctuations.
Generate precise entry signals: Entry signals are triggered only when a specified number of MA crossovers occur, the RSI filter (optional) is satisfied, the trend strength filter (optional) is met, and the trend conditions have persisted for a user-defined confirmation period.
Manage risk and protect profits: The strategy includes multiple exit options:
Percentage Trailing Stop: A classic trailing stop that activates at a specified percentage profit and trails the price by a defined offset.
ATR Trailing Stop: A volatility-based trailing stop that uses the Average True Range (ATR) to dynamically adjust the stop level.
ATR Take Profit: A volatility-based take profit that uses the ATR to set a profit target.
Hard Stop Loss: A fixed stop loss, either percentage-based or ATR-based, for maximum risk control.
Control Trade Direction : Allow the user to decide whether they want to enter Long trades, short trades, or both.
How It Works:
The strategy's core logic revolves around these key components:
Kernel-Smoothed Moving Averages: Instead of standard moving averages (SMA, EMA, etc.), this strategy uses *kernel smoothing*. This allows for more flexible and adaptive smoothing than traditional MAs. You can choose from three kernel types:
Beta Kernel: This is the most versatile option. It allows you to control *positive* and *negative* lag independently using the `alpha` and `beta` parameters. This means you can make the MA react slower to price increases and faster to price decreases (or vice versa), which can be particularly useful in trending markets.
Gaussian Kernel: A classic smoothing kernel that creates a bell-shaped weighting. The `bandwidth` parameter controls the width of the bell curve; a smaller bandwidth makes the MA more responsive.
Epanechnikov Kernel: Similar to the Gaussian kernel, but with a slightly different shape. It also uses a `bandwidth` parameter.
MA Ribbon: The five MAs form a "ribbon" on the chart. The alignment and relative positions of the MAs provide a visual indication of trend strength and direction.
Crossover Detection: The strategy monitors the crossovers between consecutive MAs in the ribbon. You can specify how many crossovers are required to generate a potential signal.
RSI Filter (Optional): This filter helps avoid entries during overextended market conditions. For long entries, the RSI must be below the oversold level; for short entries, it must be above the overbought level.
Trend Strength Filter (Optional): This unique filter uses the RSI of one of the moving averages (you choose which one) to measure the *strength* of the trend. This helps to ensure that you're entering trades in the direction of a strong, established trend.
Trend Confirmation: To further reduce false signals, the strategy requires that the entry conditions (MA crossovers, RSI, and trend strength) be met for a specified number of consecutive bars before a trade is actually triggered.
Exit Logic: The strategy prioritizes exits in the following order: Hard Stop Loss, Trailing Stop (Percentage or ATR-based), and Take Profit (ATR-based). This ensures that losses are minimized and profits are protected.
What Makes It Unique:
This strategy stands out from other indicators and strategies due to several key features:
Highly Customizable Kernel Smoothing: The use of kernel smoothing, especially the Beta kernel, provides a level of control over MA responsiveness that is not available with standard MAs. This allows for a much more adaptive and nuanced approach to trend following.
Combined Trend Strength and Confirmation: The combination of the trend strength filter (using the RSI of an MA) and the trend confirmation period provides a robust filtering mechanism that goes beyond simple MA crossovers or RSI readings. This helps to filter out weak trends and whipsaws.
Multiple, Prioritized Exit Options: The strategy's exit logic is sophisticated, offering a combination of fixed and dynamic stops and take profit levels. The prioritization ensures that the most conservative exit (hard stop) is triggered first, followed by the trailing stops, and finally the take profit.
Comprehensive Input Grouping: All inputs have been sorted into groups that control certain aspects of the strategy. This allows users to easily and quickly locate and adjust inputs as they see fit.
Trade Direction Control : Unlike many strategies, this one lets you independently enable or disable long and short trades.
All-in-one trend system: This indicator combines multiple aspects needed for trading: entry signals, stop loss calculations, take profit calculations.
In summary, the NW Trend Ribbon Strategy is a powerful and flexible trend-following system that combines the visual clarity of a moving average ribbon with the advanced filtering and risk management capabilities of kernel smoothing, RSI, trend strength, and multiple exit options. It's designed for traders who want a customizable and robust tool for identifying and trading sustained market trends.
Long-Only MTF EMA Cloud StrategyOverview:
The Long-Only EMA Cloud Strategy is a powerful trend-following strategy designed to help traders identify and capitalize on bullish market conditions. By utilizing an Exponential Moving Average (EMA) Cloud, this strategy provides clear and reliable signals for entering long positions when the market trend is favorable. The EMA cloud acts as a visual representation of the trend, making it easier for traders to make informed decisions. This strategy is ideal for traders who prefer to trade in the direction of the trend and focus exclusively on long positions.
Key Features:
EMA Cloud:
The strategy uses two EMAs (short and long) to create a dynamic cloud.
The cloud is bullish when the short EMA is above the long EMA, indicating a strong upward trend.
The cloud is bearish when the short EMA is below the long EMA, indicating a downward trend or consolidation.
Long Entry Signals:
A long position is opened when the EMA cloud turns bullish, which occurs when the short EMA crosses above the long EMA.
This crossover signals a potential shift in market sentiment from bearish to bullish, providing an opportunity to enter a long trade.
Adjustable Timeframe:
The EMA cloud can be calculated on the same timeframe as the chart or on a higher/lower timeframe for multi-timeframe analysis.
This flexibility allows traders to adapt the strategy to their preferred trading style and time horizon.
Risk Management:
The strategy includes adjustable stop loss and take profit levels to help traders manage risk and lock in profits.
Stop loss and take profit levels are calculated as a percentage of the entry price, ensuring consistency across different assets and market conditions.
Alerts:
Built-in alerts notify you when a long entry signal is generated, ensuring you never miss a trading opportunity.
Alerts can be customized to suit your preferences, providing real-time notifications for potential trades.
Visualization:
The EMA cloud is plotted on the chart, providing a clear visual representation of the trend.
Buy signals are marked with a green label below the price bar, making it easy to identify entry points.
How to Use:
Add the Script:
Add the script to your chart in TradingView.
Set EMA Lengths:
Adjust the Short EMA Length and Long EMA Length in the settings to suit your trading style.
For example, you might use a shorter EMA (e.g., 21) for more responsive signals or a longer EMA (e.g., 50) for smoother signals.
Choose EMA Cloud Resolution:
Select the EMA Cloud Resolution (timeframe) for the cloud calculation.
You can choose the same timeframe as the chart or a different timeframe (higher or lower) for multi-timeframe analysis.
Adjust Risk Management:
Set the Stop Loss (%) and Take Profit (%) levels according to your risk tolerance and trading goals.
For example, you might use a 1% stop loss and a 2% take profit for a 1:2 risk-reward ratio.
Enable Alerts:
Enable alerts to receive notifications for long entry signals.
Alerts can be configured to send notifications via email, SMS, or other preferred methods.
Monitor and Trade:
Monitor the chart for buy signals and execute trades accordingly.
Use the EMA cloud as a visual guide to confirm the trend direction before entering a trade.
Ideal For:
Trend-Following Traders: This strategy is perfect for traders who prefer to trade in the direction of the trend and capitalize on sustained price movements.
Long-Only Traders: If you prefer to focus exclusively on long positions, this strategy provides a clear and systematic approach to identifying bullish opportunities.
Multi-Timeframe Analysts: The adjustable EMA cloud resolution allows you to analyze trends across different timeframes, making it suitable for both short-term and long-term traders.
Risk-Averse Traders: The inclusion of stop loss and take profit levels helps manage risk and protect your capital.
CPR with Market SessionsCPR with Market Sessions
This is a Central Pivot Range (CPR) indicator based on "Secrets of a Pivot Boss" by Franklin Ochoa. All calculations are based on that.
Additionally I have added a little table to show daily/weekly/monthly pivots of the current symbol. Table can flick between current pivot or future pivot (to scan what pivot range will be tomorrow, next week or next month).
Also as an extra market sessions are added to be shown at the top of the chart - Asia, London, New York. And there is an overlap shown between London and New York.
THMA VWAP Oscillator [by Oberlunar]The THMA VWAP Oscillator of Oberlunar is a trend-following and liquidity-sensitive indicator that blends the Triple Hull Moving Average (THMA) with Volume Weighted Average Price (VWAP) deviation bands to highlight high-probability trading setups. It helps traders differentiate between healthy momentum moves and market noise , making it an effective tool for spotting trend continuations, reversals, and mean reversion trades .
At its core, the THMA is an advanced moving average that smooths price action while minimizing lag. Unlike conventional moving averages that react slowly, the THMA dynamically adapts to market conditions by applying a weighted smoothing process. This allows it to react more efficiently to momentum shifts , making it ideal for trend-following and breakout strategies .
The VWAP acts as a volume-weighted price equilibrium, giving traders a framework for understanding institutional positioning. Since VWAP considers both price and volume , it helps determine whether the market is trading at a premium or a discount relative to where most of the volume has transacted. The inclusion of VWAP deviation bands , derived from standard deviations, enhances the ability to detect overbought and oversold conditions , ensuring that signals align with key liquidity levels.
The indicator generates buy and sell signals based on a structured methodology that incorporates trend direction, liquidity positioning, and momentum confirmation . A buy signal is triggered when the THMA on a higher timeframe is positioned below the THMA of the current timeframe, indicating that the broader trend is supportive of an upward move. Additionally, the THMA must be trading below the lower VWAP deviation band , suggesting that price is in a discounted liquidity zone, which is often an area where institutional buyers step in. To ensure that the signal is not just a random fluctuation, the THMA must also show positive slope , meaning it is actively rising, confirming that price is attempting to reverse or continue its upward move with strength.
A sell signal follows the same logic in reverse. The THMA on a higher timeframe must be above the THMA of the current timeframe, confirming alignment with a broader downtrend. The THMA must also be positioned above the upper VWAP deviation band , signaling that price is extended and potentially due for a reversal. To validate that the momentum is actually weakening, the THMA must be in a declining slope , ensuring that price is not simply pausing but actually entering a phase of downward acceleration.
One of the key nuances of the THMA VWAP Oscillator is how it visually represents momentum through the serpentine line , which dynamically shifts color as it develops. When the serpentine line maintains a consistent color—green in an uptrend or red in a downtrend—it signals strong trend conviction . However, when the color fluctuates rapidly between green and red, it indicates a weakening signal , suggesting that price action is becoming choppy and trend strength is deteriorating. This alternation in color serves as an early warning of potential reversals, false breakouts, or trend exhaustion. Traders should be cautious when signals appear in conjunction with an unstable serpentine, as they are less likely to be reliable in such conditions.
To further enhance signal quality, the indicator incorporates a signal alternation mechanism , ensuring that consecutive buy or sell signals do not appear unless the previous trade setup has been invalidated. This helps prevent overtrading in consolidating markets and reduces the chances of chasing false breakouts. Additionally, the placement of buy and sell labels is optimized using ATR-based scaling , positioning them strategically above or below price action to maintain chart clarity without interfering with live price movements.
By integrating trend structure, liquidity positioning, and signal validation , the THMA VWAP Oscillator provides a structured approach to trade execution. It is particularly effective for traders looking to capture breakout moves, pullback entries, and mean reversion opportunities , as it ensures that entries are aligned with market momentum, institutional positioning, and price equilibrium dynamics . The ability to filter out weak signals while identifying strong momentum trends makes it an indispensable tool for trend-followers, breakout traders, and mean reversion specialists alike .
I am very pleased to share that I am publicly releasing one of my private indicators, which I usually provide exclusively to my community. This is a significant moment for me, as this tool has been carefully refined and tested to offer high-quality trading insights.
I also want to take this opportunity to thank my entire community for the incredible support I have received over the past few months. Your feedback, engagement, and enthusiasm continue to inspire me, and I truly appreciate being part of this journey with all of you.
Stay tuned for more updates, and as always, trade smart! 🚀
CPR ScannerCPR (Central Pivot Range) Scanner
The indicator scans through a list of coins from the chosen custom list for daily, weekly or monthly CPR and identifies whether the CPR is narrow (<= 0.5% normalized width by default) or wide.
It also color codes the cells and text in the following way:
Green Fill = Price above CPR
Red Fill = Price below CPR
Yellow Fill = Price inside CPR
Yellow Text = Narrow Pivot
Gray Text = Wide Pivot
There is also some additional helpful settings:
Selection your own width criteria for narrow range.
Filtering the list to narrow CPR only
Scanning next day/week/month CPR range
Add names to your custom lists for the reference
Highlight Time ZonesWe can set our specific time zones and highlight those zones, so we can analyze that particular session
OBV Trend Bands [Alpha Extract]OBV Trend Bands 📊
The OBV Trend Bands indicator leverages On-Balance Volume (OBV) to assess trend strength and potential reversals by plotting a dynamic median line alongside upper and lower bands based on standard deviation. This tool helps traders identify overbought or oversold conditions and visualize OBV momentum relative to historical trends.
🔶 CALCULATION
The indicator calculates OBV, a dynamic median of OBV, and standard deviation bands to measure volume-driven momentum:
• OBV: Cumulative volume that adds or subtracts based on price direction.
• Aggregate Median: A smoothed median of OBV over a user-defined lookback period, adjusted by a minimum lookback for robustness.
• Standard Deviation Bands: Upper and lower bands derived from the scaled aggregate median, adjusted by a multiplier.
• Scaled OBV: OBV divided by a customizable scaling factor for better visualization.
Formula:
• OBV = Cumulative sum of volume (positive if price increases, negative if price decreases)
• Aggregate Median = Average of simple medians over a range from minLookbackPeriod to length
• Upper Band = Aggregate Median / Scaling Factor + StdMultiplier * StdDev
• Lower Band = Aggregate Median / Scaling Factor - StdMultiplier * StdDev
🔶 DETAILS
Visual Features:
• OBV Line (Dynamic Color): Plotted with a color that shifts based on its position—green above the upper band (bullish), red below the lower band (bearish), and white between bands (neutral).
• Upper Band (Green): Represents the overbought threshold, lightly shaded for clarity.
• Lower Band (Red): Indicates the oversold threshold, also lightly shaded.
• Aggregate Median Line (Gray): Acts as the central trend reference.
• Fill Areas: Transparent green fill when OBV exceeds the upper band, transparent red fill when below the lower band, and no fill within the bands.
Interpretation:
• Bullish Signal: OBV rises above the upper band, suggesting strong buying pressure and potential trend continuation.
• Bearish Signal: OBV falls below the lower band, indicating selling pressure and possible trend weakness.
• Neutral Zone: OBV between bands reflects consolidation or indecision in the market.
🔶 EXAMPLES
The chart demonstrates:
• Bullish Momentum: OBV crosses above the upper band with a green line and fill, signaling robust accumulation.
• Bearish Momentum: OBV drops below the lower band with a red line and fill, indicating distribution or selling pressure.
• Reversal Points: Transitions of OBV from below the lower band to above the upper band (or vice versa) suggest potential trend shifts.
Example Snapshots:
• A sustained bullish phase where OBV remains above the upper band with consistent green coloring.
• A bearish trend change where OBV falls below the upper band hinting at weakening momentum leading to a change in trend.
🔶 SETTINGS
Customization Options:
• Median Length (Default: 100): Adjusts the period for calculating the aggregate median, tailoring trend sensitivity.
• Minimum Lookback Period (Default: 30): Sets the shortest period for median aggregation, refining responsiveness.
• Standard Deviation Multiplier (Default: 1.0): Controls the width of the bands—higher values widen them, lower values tighten them.
• Scaling Factor (Default: 100,000): Scales OBV for better chart readability, adjustable based on asset volume.
The OBV Trend Bands indicator is a versatile tool for traders, blending volume analysis with statistical boundaries to effectively pinpoint market extremes and momentum shifts.
Flow Optimized Moving AverageOverview
The Flow Optimized Moving Average (Flow OMA) is an advanced adaptive moving average designed to dynamically adjust smoothing factors based on market efficiency and volatility. By integrating the Efficiency Ratio (ER) with an Adaptive Moving Average (AMA) and leveraging ATR-based bands, this indicator provides traders with a refined tool for identifying trend direction, strength, and potential reversal zones.
Key Features
Adaptive Moving Average (AMA)
Adjusts to price action based on the Efficiency Ratio (ER), reducing lag in trending markets while smoothing noise in ranging conditions.
Efficiency Ratio (ER)
Measures the effectiveness of price movement over a defined lookback period.
Helps in dynamically adjusting the smoothing constant of the AMA.
ATR-Based Volatility Bands
Creates upper and lower dynamic bands based on the Average True Range (ATR).
Expands in high volatility and contracts in low volatility, providing traders with a contextual understanding of price action.
Slope-Based Trend Strength
Normalizes the moving average slope relative to ATR.
Generates a trend strength score, which influences band opacity, making strong trends visually distinguishable.
Dynamic Color Coding
Bullish Trends: Cyan/Turquoise (#00e2ff)
Bearish Trends: Blue (#003ff5)
Neutral Trends: Gray
The transparency of the bands dynamically adjusts based on trend strength.
Fill Zone Effect
The area between the ATR bands is filled with a gradient-like effect, giving a clear visual representation of trend strength and transitions.
Indicator Components
Inputs (User Settings)
ER Lookback Period: Defines how many bars are used in the Efficiency Ratio calculation (default: 10).
Fast & Slow Periods: Control the sensitivity of the Adaptive Moving Average (default: 2 & 30).
ATR Period: Defines the lookback for Average True Range (default: 14).
Band Multiplier: Determines the width of ATR-based bands (default: 1.5).
Slope Average Period: Smooths trend slope for more stable trend assessment (default: 5).
Efficiency Ratio Calculation
Measures how effectively price moves in a straight line compared to its total movement.
A higher ER value suggests strong trend momentum, while a lower value implies consolidation.
Adaptive Moving Average (AMA)
Dynamically adjusts its smoothing factor based on ER.
Uses a smoothing constant that ranges between the fastest and slowest specified values.
Volatility-Based Bands
Constructed using the ATR multiplier.
Expand and contract dynamically in response to market volatility.
Trend Strength & Direction
Computed using the normalized slope of AMA against ATR.
Positive slope = Bullish trend, Negative slope = Bearish trend.
Visual Enhancements
Colored Adaptive MA Line: Changes based on trend direction.
ATR Bands with Gradient Fill: Visual representation of market conditions.
Dynamic Opacity: Highlights trend strength through transparency.
How to Use the Flow OMA Indicator
Trend Identification
When the Adaptive MA is rising and colored cyan, a bullish trend is in play.
When the Adaptive MA is falling and colored blue, a bearish trend is present.
Trend Strength Assessment
A stronger trend results in more opaque band fills, indicating a clear directional bias.
Weaker trends or consolidations result in fainter fills, signaling a loss of momentum.
Reversal Signals
If price touches the upper band in a bullish move and starts reversing, it can indicate potential profit-taking areas.
If price approaches the lower band in a bearish move and rebounds, a short-term reversal may be imminent.
Volatility Insights
Narrow bands indicate low volatility and possible breakout conditions.
Wider bands suggest increased volatility, warning traders of potential price swings.
Best Practices
✅ Combine with Other Indicators
Use RSI, MACD, or Volume Profile for confirmation before executing trades.
✅ Apply to Multiple Timeframes
Works effectively in higher timeframes (1H, 4H, Daily) for trend trading.
Can be utilized in lower timeframes (5m, 15m) for scalping setups.
✅ Adjust Parameters Based on Asset Volatility
Increase ATR Period for stocks with high volatility.
Reduce ATR Multiplier for forex pairs to avoid excessive band width.
The Flow Optimized Moving Average (Flow OMA) is a powerful trend-following tool designed for both swing and intraday traders. Its adaptive nature allows it to efficiently track trends while minimizing false signals. By incorporating dynamic volatility bands and trend-sensitive color coding, this indicator enhances traders' ability to read price action effectively. Whether used standalone or in combination with other indicators, Flow OMA provides a significant edge in trend analysis.
Continuation Opportunity Indicator by QTX Algo SystemsContinuation Opportunity Indicator by QTX Algo Systems
Overview
This indicator is designed to pinpoint key moments within an established trend when a pullback is likely just a temporary consolidation rather than a reversal. It distinguishes phases of reduced volatility—suggesting a pause or consolidation—from moments when volatility subsequently increases, confirming that the prevailing trend is resuming. This integrated approach combines multiple classical elements into a unique tool that offers traders clear insight into trend continuity.
How It Works
The indicator marries two types of volatility measurements with dual momentum assessments and a trend filter to generate continuation signals. Two complementary volatility metrics are used: one assesses long-term price dispersion to gauge overall market behavior, while the other employs a percentile-based method to capture recent variability and ensure that overall market volatility meets a minimum threshold. A critical part of the signal generation is that the pullback must occur during a period of reduced volatility, indicating consolidation, and then be followed by an increase in volatility, which confirms the resumption of the trend.
For momentum analysis, a double‐smoothed oscillator provides a refined, short-term view of price action, and a Price – Moving Average Ratio (PMARP) confirms the trend’s strength by requiring that it remains above or below a set threshold with a positive or negative slope, respectively. Signals are produced based on crossover events in the momentum oscillator that occur after a pullback, with the subsequent rise in volatility validating the trend continuation. A moving average-based trend filter further ensures that these signals align with the broader market direction.
While the individual components—volatility measures, momentum oscillators, and trend filters—are standard in technical analysis, their deliberate integration in this script results in a tool that is greater than the sum of its parts. Rather than merely merging indicators, this system is crafted to filter out false signals and clearly differentiate between temporary consolidations and genuine trend continuations. By providing a holistic view of market behavior, it offers traders actionable insight into when a pullback is simply a pause before the trend resumes.
How to Use
Traders should monitor the chart for opportunity signals. These signals indicate that a consolidation phase is ending and that the overall trend is likely to continue. Adjust the volatility parameters as needed to suit your market or timeframe, and use these signals in conjunction with other technical analysis tools to confirm optimal entry and exit points.
Disclaimer
This indicator is for educational purposes only and is intended to support your trading strategy. It does not guarantee performance, and past results are not indicative of future outcomes. Always use proper risk management and perform your own analysis before trading.
Market Participation Index [PhenLabs]📊 Market Participation Index
Version: PineScript™ v6
📌 Description
Market Participation Index is a well-evolved statistical oscillator that constantly learns to develop by adapting to changing market behavior through the intricate mathematical modeling process. MPI combines different statistical approaches and Bayes’ probability theory of analysis to provide extensive insight into market participation and building momentum. MPI combines diverse statistical thinking principles of physics and information and marries them for subtle changes to occur in markets, levels to become influential as important price targets, and pattern divergences to unveil before it is visible by analytical methods in an old-fashioned methodology.
🚀 Points of Innovation:
Automatic market condition detection system with intelligent preset selection
Multi-statistical approach combining classical and advanced metrics
Fractal-based divergence system with quality scoring
Adaptive threshold calculation using statistical properties of current market
🚨 Important🚨
The ‘Auto’ mode intelligently selects the optimal preset based on real-time market conditions, if the visualization does not appear to the best of your liking then select the option in parenthesis next to the auto mode on the label in the oscillator in the settings panel.
🔧 Core Components
Statistical Foundation: Multiple statistical measures combined with weighted approach
Market Condition Analysis: Real-time detection of market states (trending, ranging, volatile)
Change Point Detection: Bayesian analysis for finding significant market structure shifts
Divergence System: Fractal-based pattern detection with quality assessment
Adaptive Visualization: Dynamic color schemes with context-appropriate settings
🔥 Key Features
The indicator provides comprehensive market analysis through:
Multi-statistical Oscillator: Combines Z-score, MAD, and fractal dimensions
Advanced Statistical Components: Includes skewness, kurtosis, and entropy analysis
Auto-preset System: Automatically selects optimal settings for current conditions
Fractal Divergence Analysis: Detects and grades quality of divergence patterns
Adaptive Thresholds: Dynamically adjusts overbought/oversold levels
🎨 Visualization
Color-coded Oscillator: Gradient-filled oscillator line showing intensity
Divergence Markings: Clear visualization of bullish and bearish divergences
Threshold Lines: Dynamic or fixed overbought/oversold levels
Preset Information: On-chart display of current market conditions
Multiple Color Schemes: Modern, Classic, Monochrome, and Neon themes
Classic
Modern
Monochrome
Neon
📖 Usage Guidelines
The indicator offers several customization options:
Market Condition Settings:
Preset Mode: Choose between Auto-detection or specific market condition presets
Color Theme: Select visual theme matching your chart style
Divergence Labels: Choose whether or not you’d like to see the divergence
✅ Best Use Cases:
Identify potential market reversals through statistical divergences
Detect changes in market structure before price confirmation
Filter trades based on current market condition (trending vs. ranging)
Find optimal entry and exit points using adaptive thresholds
Monitor shifts in market participation and momentum
⚠️ Limitations
Requires sufficient historical data for accurate statistical analysis
Auto-detection may lag during rapid market condition changes
Advanced statistical calculations have higher computational requirements
Manual preset selection may be required in certain transitional markets
💡 What Makes This Unique
Statistical Depth: Goes beyond traditional indicators with advanced statistical measures
Adaptive Intelligence: Automatically adjusts to current market conditions
Bayesian Analysis: Identifies statistically significant change points in market structure
Multi-factor Approach: Combines multiple statistical dimensions for confirmation
Fractal Divergence System: More robust than traditional divergence detection methods
🔬 How It Works
The indicator processes market data through four main components:
Market Condition Analysis:
Evaluates trend strength, volatility, and price patterns
Automatically selects optimal preset parameters
Adapts sensitivity based on current conditions
Statistical Oscillator:
Combines multiple statistical measures with weights
Normalizes values to consistent scale
Applies adaptive smoothing
Advanced Statistical Analysis:
Calculates higher-order statistical moments
Applies information-theoretic measures
Detects distribution anomalies
Divergence Detection:
Uses fractal theory to identify pivot points
Detects and scores divergence quality
Filters signals based on current market phase
💡 Note:
The Market Participation Index performs optimally when used across multiple timeframes for confirmation. Its statistical foundation makes it particularly valuable during market transitions and periods of changing volatility, where traditional indicators often fail to provide clear signals.
Fractal Breakout Trend Following System█ OVERVIEW
The Fractal Breakout Trend Following System is a custom technical analysis tool designed to pinpoint significant fractal pivot points and breakout levels. By analyzing price action through configurable pivot parameters, this indicator dynamically identifies key support and resistance zones. It not only marks crucial highs and lows on the chart but also signals potential trend reversals through real-time breakout detections, helping traders capture shifts in market momentum.
█ KEY FEATURES
Fractal Pivot Detection
Utilizes user-defined left and right pivot lengths to detect local highs (pivot highs) and lows (pivot lows). This fractal-based approach ensures that only meaningful price moves are considered, effectively filtering out minor market noise.
Dynamic Line Visualization
Upon confirmation of a pivot, the system draws a dynamic line representing resistance (from pivot highs) or support (from pivot lows). These lines extend across the chart until a breakout occurs, offering a continuous visual guide to key levels.
Trend Breakout Signals
Monitors for price crossovers relative to the drawn pivot lines. A crossover above a resistance line signals a bullish breakout, while a crossunder below a support line indicates a bearish move, thus updating the prevailing trend.
Pivot Labelling
Assigns labels such as "HH", "LH", "LL", or "HL" to detected pivots based on their relative values.
It uses the following designations:
HH (Higher High) : Indicates that the current pivot high is greater than the previous pivot high, suggesting continued upward momentum.
LH (Lower High) : Signals that the current pivot high is lower than the previous pivot high, which may hint at a potential reversal within an uptrend.
LL (Lower Low) : Shows that the current pivot low is lower than the previous pivot low, confirming sustained downward pressure.
HL (Higher Low) : Reveals that the current pivot low is higher than the previous pivot low, potentially indicating the beginning of an upward reversal in a downtrend.
These labels provide traders with immediate insight into the market structure and recent price behavior.
Customizable Visual Settings
Offers various customization options:
• Adjust pivot sensitivity via left/right pivot inputs.
• Toggle pivot labels on or off.
• Enable background color changes to reflect bullish or bearish trends.
• Choose preferred colors for bullish (e.g., green) and bearish (e.g., red) signals.
█ UNDERLYING METHODOLOGY & CALCULATIONS
Fractal Pivot Calculation
The script employs a sliding window technique using configurable left and right parameters to identify local highs and lows. Detected pivot values are sanitized to ensure consistency in subsequent calculations.
Dynamic Line Plotting
When a new pivot is detected, a corresponding line is drawn from the pivot point. This line extends until the price breaks the level, at which point it is reset. This method provides a continuous reference for support and resistance.
Trend Breakout Identification
By continuously monitoring price interactions with the pivot lines, the indicator identifies breakouts. A price crossover above a resistance line suggests a bullish breakout, while a crossunder below a support line indicates a bearish shift. The current trend is updated accordingly.
Pivot Label Assignment
The system compares the current pivot with the previous one to determine if the move represents a higher high, lower high, higher low, or lower low. This classification helps traders understand the underlying market momentum.
█ HOW TO USE THE INDICATOR
1 — Apply the Indicator
• Add the Fractal Breakout Trend Following System to your chart to begin visualizing dynamic pivot points and breakout signals.
2 — Adjust Settings for Your Market
• Pivot Detection – Configure the left and right pivot lengths for both highs and lows to suit your desired sensitivity:
- Use shorter lengths for more responsive signals in fast-moving markets.
- Use longer lengths to filter out minor fluctuations in volatile conditions.
• Visual Customization – Toggle the display of pivot labels and background color changes. Select your preferred colors for bullish and bearish trends.
3 — Interpret the Signals
• Support & Resistance Lines – Observe the dynamically drawn lines that represent key pivot levels.
• Pivot Labels – Look for labels like "HH", "LH", "LL", and "HL" to quickly assess market structure and trend behavior.
• Trend Signals – Watch for price crossovers and corresponding background color shifts to gauge bullish or bearish breakouts.
4 — Integrate with Your Trading Strategy
• Use the identified pivot points as potential support and resistance levels.
• Combine breakout signals with other technical indicators for comprehensive trade confirmation.
• Adjust the sensitivity settings to tailor the indicator to various instruments and market conditions.
█ CONCLUSION
The Fractal Breakout Trend Following System offers a robust framework for identifying critical fractal pivot points and potential breakout opportunities. With its dynamic line plotting, clear pivot labeling, and customizable visual settings, this indicator equips traders with actionable insights to enhance decision-making and optimize entry and exit strategies.
Percentage Based ZigZag█ OVERVIEW
The Percentage-Based ZigZag indicator is a custom technical analysis tool designed to highlight significant price reversals while filtering out market noise. Unlike many standard zigzag tools that rely solely on fixed price moves or generic trend-following methods, this indicator uses a configurable percentage threshold to dynamically determine meaningful pivot points. This approach not only adapts to different market conditions but also helps traders distinguish between minor fluctuations and truly significant trend shifts—whether scalping on shorter timeframes or analyzing longer-term trends.
█ KEY FEATURES & ORIGINALITY
Dynamic Pivot Detection
The indicator identifies pivot points by measuring the percentage change from the previous extreme (high or low). Only when this change exceeds a user-defined threshold is a new pivot recognized. This method ensures that only substantial moves are considered, making the indicator robust in volatile or noisy markets.
Enhanced ZigZag Visualization
By connecting significant highs and lows with a continuous line, the indicator creates a clear visual map of price swings. Each pivot point is labelled with the corresponding price and the percentage change from the previous pivot, providing immediate quantitative insight into the magnitude of the move.
Trend Reversal Projections
In addition to marking completed reversals, the script computes and displays potential future reversal points based on the current trend’s momentum. This forecasting element gives traders an advanced look at possible turning points, which can be particularly useful for short-term scalping strategies.
Customizable Visual Settings
Users can tailor the appearance by:
• Setting the percentage threshold to control sensitivity.
• Customizing colors for bullish (e.g., green) and bearish (e.g., red) reversals.
• Enabling optional background color changes that visually indicate the prevailing trend.
█ UNDERLYING METHODOLOGY & CALCULATIONS
Percentage-Based Filtering
The script continuously monitors price action and calculates the relative percentage change from the last identified pivot. A new pivot is confirmed only when the price moves a preset percentage away from this pivot, ensuring that minor fluctuations do not trigger false signals.
Pivot Point Logic
The indicator tracks the highest high and the lowest low since the last pivot. When the price reverses by the required percentage from these extremes, the algorithm:
1 — Labels the point as a significant high or low.
2 — Draws a connecting line from the previous pivot to the current one.
3 — Resets the extreme-tracking for detecting the next move.
Real-Time Reversal Estimation
Building on traditional zigzag methods, the script incorporates a projection calculation. By analyzing the current trend’s strength and recent percentage moves, it estimates where a future reversal might occur, offering traders actionable foresight.
█ HOW TO USE THE INDICATOR
1 — Apply the Indicator
• Add the Percentage-Based ZigZag indicator to your trading chart.
2 — Adjust Settings for Your Market
• Percentage Move – Set a threshold that matches your trading style:
- Lower values for sensitive, high-frequency analysis (ideal for scalping).
- Higher values for filtering out noise on longer timeframes.
• Visual Customization – Choose your preferred colors for bullish and bearish signals and enable background color changes for visual trend cues.
• Reversal Projection – Enable or disable the projection feature to display potential upcoming reversal points.
3 — Interpret the Signals
• ZigZag Lines – White lines trace significant high-to-low or low-to-high movements, visually connecting key swing points.
• Pivot Labels – Each pivot is annotated with the exact price level and percentage change, providing quantitative insight into market momentum.
• Trend Projections – When enabled, projected reversal levels offer insight into where the current trend might change.
4 — Integrate with Your Trading Strategy
• Use the indicator to identify support and resistance zones derived from significant pivots.
• Combine the quantitative data (percentage changes) with your risk management strategy to set optimal stop-loss and take-profit levels.
• Experiment with different threshold settings to adapt the indicator for various instruments or market conditions.
█ CONCLUSION
The Percentage-Based ZigZag indicator goes beyond traditional trend-following tools by filtering out market noise and providing clear, quantifiable insights into price action. With its percentage threshold for pivot detection and real-time reversal projections, this original methodology and customizable feature set offer traders a versatile edge for making informed trading decisions.
Volume Flow Indicator Signals | iSolani
Volume Flow Indicator Signals | iSolani: Decoding Trend Momentum with Volume Precision
In markets where trends are fueled by institutional participation, discerning genuine momentum from false moves is critical. The Volume Flow Indicator Signals | iSolani cuts through this noise by synthesizing price action with volume dynamics, generating high-confidence signals when capital flows align with directional bias. This tool reimagines traditional volume analysis by incorporating volatility-adjusted thresholds and dual-layer smoothing, offering traders a laser-focused approach to trend identification.
Core Methodology
The indicator employs a multi-stage calculation to quantify volume-driven momentum:
Volatility-Adjusted Filter: Measures price changes via log returns, scaling significance using a 30-bar standard deviation multiplied by user-defined sensitivity (default: 2x).
Volume Normalization: Caps extreme volume spikes at 3x the 50-bar moving average, preventing distortion from anomalous trades.
Directional Volume Flow: Assigns positive/negative values to volume based on whether price movement exceeds volatility-derived thresholds.
Dual Smoothing: Applies consecutive SMA (3-bar) and EMA (14-bar) to create the Volume Flow Indicator (VFI) and its signal line, filtering out transient fluctuations.
Breaking New Ground
This implementation introduces three key innovations:
Adaptive Noise Gates: Unlike static volume oscillators, the sensitivity coefficient dynamically adjusts to market volatility, reducing false signals during choppy conditions.
Institutional Volume Capping: The vcoef parameter limits the influence of outlier volume spikes, focusing on sustained institutional activity rather than one-off trades.
Non-Repainting Signals: Generates single-per-trend labels (buy below bars, sell above) to avoid chart clutter while maintaining visual clarity.
Engine Under the Hood
The script executes through five systematic stages:
Data Preparation: Computes HLC3 typical price and its logarithmic rate of change.
Threshold Calculation: Derives dynamic cutoff levels using 30-period volatility scaled by user sensitivity.
Volume Processing: Filters raw volume through a 50-bar SMA, capping extremes at 3x average.
VFI Construction: Sums directional volume flow over 50 bars, smoothed with a 3-bar SMA.
Signal Generation: Triggers alerts when VFI crosses zero, confirmed by a 14-bar EMA crossover.
Standard Configuration
Optimized defaults balance responsiveness and reliability:
Volume MA: 50-bar smoothing window
Sensitivity: 2.0 (doubles volatility threshold)
Signal Smoothing: 14-bar EMA
Volume Cap: 3x average (hidden parameter)
VFI Smoothing: Enabled (3-bar SMA)
By fusing adaptive volume filtering with price confirmation logic, the Volume Flow Indicator Signals | iSolani transforms raw market data into institutional-grade trend signals. Its ability to mute choppy price action while amplifying high-conviction volume moves makes it particularly effective for spotting early trend reversals in equities, forex, and futures markets.
Gradient Trend Filter [ChartPrime]The Gradient Trend Filter is a dynamic trend analysis tool that combines a noise-filtered trend detection system with a color-gradient cloud. It provides traders with a visual representation of trend strength, momentum shifts, and potential reversals.
⯁ KEY FEATURES
Trend Noise Filtering
Uses an advanced smoothing function to filter market noise and produce a more reliable trend representation.
// Noise filter function
noise_filter(src, length) =>
alpha = 2 / (length + 1)
nf_1 = 0.0
nf_2 = 0.0
nf_3 = 0.0
nf_1 := (alpha * src) + ((1 - alpha) * nz(nf_1 ))
nf_2 := (alpha * nf_1) + ((1 - alpha) * nz(nf_2 ))
nf_3 := (alpha * nf_2) + ((1 - alpha) * nz(nf_3 ))
nf_3 // Final output with three-stage smoothing
Color-Based Trend Visualization
The mid-line changes color based on trend direction—green for uptrends and red for downtrends—making it easy to identify trends at a glance.
Orange diamond markers appear when a trend shift is confirmed, providing actionable signals for traders.
Gradient Color Trend Cloud
A cloud around the base trend line that dynamically changes color, often signaling trend shifts ahead of the main trend line.
When in a downtrend, if the cloud starts turning green, it suggests weakening bearish momentum or an upcoming bullish reversal. Conversely, when in an uptrend, a red cloud indicates potential trend weakening or a bearish reversal.
Multi-Layered Trend Bands
The cloud consists of multiple bands, offering a range of support and resistance zones that traders can use for confluence in decision-making.
⯁ HOW TO USE
Identify Trend Strength & Reversals
Use the mid-line and cloud color changes to assess the strength of a trend and spot early signs of reversals.
Monitor Momentum Shifts
Watch for gradient cloud color shifts before the trend line changes color, as this can indicate early weakening or strengthening of momentum.
Act on Trend Shift Markers
Use the orange diamonds as confirmation of trend shifts and potential trade entry or exit points.
Utilize Cloud Bands as Support/Resistance
The outer bands of the cloud act as dynamic support and resistance, helping traders refine their stop-loss and take-profit placements.
⯁ CONCLUSION
The Gradient Trend Filter is an advanced trend detection tool designed for traders looking to anticipate trend shifts with greater precision. By integrating a noise-filtered trend line with a gradient-based trend cloud, this indicator enhances traders' ability to navigate market trends effectively.
Cumulative Price Change AlertCumulative Price Change Alert
Version: 1.0
Author: QCodeTrader 🚀
Overview 🔍
The Cumulative Price Change Alert indicator analyzes the percentage change between the current and previous open prices and sums these changes over a user-defined number of bars. It then generates visual buy and sell signals using arrows and labels on the chart, helping traders spot cumulative price momentum and potential trading opportunities.
Key Features ⚙️
Customizable Timeframe 🕒:
Use a custom timeframe or default to the chart's timeframe for price data.
User-Defined Summation 🔢:
Specify the number of bars to sum, allowing you to analyze cumulative price changes.
Custom Buy & Sell Conditions 🔔:
Set individual percentage change thresholds and cumulative sum thresholds to tailor signals for
your strategy.
Visual Alerts 🚀:
Displays green upward arrows for buy signals and red downward arrows for sell signals directly
on the chart.
Informative Labels 📝:
Provides labels with formatted percentage change and cumulative sum details for the analyzed
bars.
Versatile Application 📊:
Suitable for stocks, forex, crypto, commodities, and more.
How It Works ⚡
Price Change Calculation ➗:
The indicator calculates the percentage change between the current bar's open price and the
previous bar's open price.
Cumulative Sum ➕:
It then sums these percentage changes over the last N bars (as specified by the user).
Signal Generation 🚦:
Buy Signal 🟢: When both the individual percentage change and the cumulative sum exceed
their respective buy thresholds, a green arrow and label are displayed.
Sell Signal 🔴: Conversely, if the individual change and cumulative sum fall below the sell
thresholds, a red arrow and label are shown.
How to Use 💡
Add the Indicator ➕:
Apply the indicator to your chart.
Customize Settings ⚙️:
Set a custom timeframe if desired.
Define the number of bars to sum.
Adjust the buy/sell percentage change and cumulative sum thresholds to match your trading
strategy.
Interpret Visual Cues 👀:
Monitor the chart for green or red arrows and corresponding labels that signal potential buy or
sell opportunities based on cumulative price movements.
Settings Explained 🛠️
Custom Timeframe:
Select an alternative timeframe for analysis, or leave empty to use the current chart's timeframe.
Number of Last Bars to Sum:
Determines how many bars are used to compute the cumulative percentage change.
Buy Condition - Min % Change:
The minimum individual percentage change required to consider a buy signal.
Buy Condition - Min Sum of Bars:
The minimum cumulative percentage change over the defined bars needed for a buy signal.
Sell Condition - Max % Change:
The maximum individual percentage change threshold for a sell signal.
Sell Condition - Max Sum of Bars:
The maximum cumulative percentage change over the defined bars for triggering a sell signal.
Best Use Cases 🎯
Momentum Identification 📈:
Quickly spot strong cumulative price movements and momentum shifts.
Entry/Exit Signals 🚪:
Use the visual signals to determine potential entry and exit points in your trading.
Versatile Strategy Application 🔄:
Effective for scalping, swing trading, and longer-term analysis across various markets.
UPD: uncheck labels for better performance
Volatility Price FlowCapitalize on market volatility with our new volatility price flow indicator. We have designed this indicator to process historical price movements and indicate when price may have reached exhaustion in the context of current volatility.
This is achieved by taking the price deviation from a user defined moving average, and applying a weighting to the deviations from the candle body and candle wick on both buy side and sell side, over a user defined period. The period of the base moving average, type of moving average and the period of the historical price deviations can all be modified. This creates a typical 'band' style indicator, though with a unique characteristic that the buy and sell side vary independently as well as the band expansion being based on weighted variables tied to the actual price changes, rather than just a standard deviation the moves uniformly.
Additionally, these bands can be merged with an anchored vwap - we do this so that the deviations of price from the moving average can include a more volume based approach to identifying potential pivots.
The end result is an indicator that reflects the current market price movements, identifies and capitalizes on impulsive or beginning moves to indicate potential tops / bottoms / reversals.
The signals are simple - anytime price closes within a band, having been outside the band, a signal is displayed. As a basic guide to setting the indicator up for the first time, we suggest reducing all of the multipliers to a value less than 1. Then gradually increase each one, until the signals reduce in quantity and improve in quality, starting with the price deviation multiplier, then the volatility multiplier and finally the expansion multiplier.
Last of all, alerts can be created based on the current chart timeframe and indicator settings, simply by adding an alert that uses the built in buy or sell signal.
Note: We cannot guarantee the accuracy of the signals provided, since the user creates the signals by modifying the settings, and as such we can take no responsibility for any trading losses incurred using the indicator and highly encourage all users to manage their risk and only risk what you can afford to lose.
Bitcoin Power Law: Complete with Oscillator + Future Projection
Firstly, we would like to give credit to @apsk32 and @x_X_77_X_x as part of the code originates from their work. Additionally, @apsk32 is widely credited with applying the Power Law concept to Bitcoin and popularizing this model within the crypto community. Additionally, the visual layout is fully inspired by @apsk32's designs, and we think it looks amazing. So much so that we had to turn it into a TradingView script. Thank you!
Understanding the Bitcoin Power Law Model
Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship.
By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges.
In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term.
The Bitcoin Power Law has the following function:
Power Law = 10^(a + b * log10(d))
Consisting of the following parameters:
a: Power Law Intercept (default: -17.668).
b: Power Law Slope (default: 5.926).
d: Number of days since a reference point(calculated by counting bars from the reference point with an offset).
Explanation of the a and b parameters:
Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post.
Applying vertical shifts to generate the other lines:
Once the initial power-law is created, additional lines are generated by applying a vertical shift . This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept.
In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest):
Base Power Law Line (no shift)
1-year shifted line
2-year shifted line
3-year shifted line
4-year shifted line
5-year shifted line
The six power law lines:
Bitcoin Power Law Oscillator
This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula:
normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line)
Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. The Oscillator version can be found here .
Interpretation of the Bitcoin Power Law Model:
The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.).
By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame.
On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines.
In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples:
Example 1:
In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support (Note: Vertical yearly grid lines have been added for this purpose👍).
Example 2:
In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point C, now aligning with the Base Power Law Line.
Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe :
Example 3:
In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
highs&lowsone of my first strategy: highs&lows
This strategy takes the highest high and the lowest low of a specified timeframe and specified bar count.
It will then takes the average between these two extremes to create a center line.
This creates a range of high middle and low.
Then the strategy takes the current market movement
which is the direct average(no specified timeframe and specified bar count) of the current high and low.
Using this "current market movement" within the range of high middle and low it determins when to buy and then sell the asset.
*********note***************
-this strategy is (bullish)
-works good with most futures assets that have volatility/ decent movement
(might add more details if I forget any)
(work in progress)
HTF Trend IdentificationThis indicator identifies higher timeframe (HTF) trends and plots them on the chart. It uses a fixed higher timeframe input and a selectable source to calculate the HTF value. The indicator also plots an EMA and colors the candles based on the HTF trend and EMA crossover.
**Features:**
* **HTF Trend Identification:** Calculates and plots a higher timeframe trend based on a user-defined source and fixed timeframe. This allows you to visualize the larger trend context on your current chart.
* **Repainting Option:** Provides a toggle to control whether the HTF calculation repaints. Disabling repainting ensures that past HTF signals remain fixed, but may introduce a slight lag. Enabling repainting provides more up-to-date signals, but can cause past signals to change.
* **Customizable Colors:** Allows users to set custom colors for uptrends and downtrends.
* **EMA Plot:** Includes an Exponential Moving Average (EMA) plot with a customizable length and offset. The EMA color changes based on the HTF trend.
* **Candle Coloring:** Colors the candles based on the HTF trend, providing a clear visual representation of the overall trend direction.
* **Alerts:** (This would require adding alert conditions to the code, which I can do if you'd like) Could be extended to include alerts for HTF trend changes or EMA crossovers.
**Inputs:**
* **Repainting:** On/Off toggle to control repainting of the HTF calculation.
* **Source:** Select the source for HTF calculations (e.g., close, open, high, low, etc.).
* **Fixed Higher Timeframe:** Set the higher timeframe for trend calculation (e.g., 1D, 4H, 1W). *Note: Timeframes smaller than the current chart's timeframe are not allowed.*
* **Up Color:** Color for uptrends.
* **Down Color:** Color for downtrends.
* **EMA Length 1:** Length of the EMA.
* **Offset:** Offset for the EMA plot.
**How to Use:**
1. Add the indicator to your chart.
2. Configure the inputs to your desired settings.
3. Observe the plotted HTF trend line, EMA, and candle colors to identify potential trading opportunities.
**Limitations:**
* **Repainting:** Enabling repainting can cause past HTF signals to change. Use with caution.
* **No Alerts (by default):** This version does not include alerts. However, this can be added if requested.
**Author:** atulgalande75
**Disclaimer:** This script is for educational purposes only and should not be considered financial advice. Use at your own risk.
Zerg range filter credit to Kivanc turkish pinecoder for base indicator i reworked with chatgpt and some common sense
this indicator similar to the ADX but i think its better visually to keep you out of market conditions that are unfavorable.
i made original indicator to work in a 0-100 enviroment (before it was a zero middle line oscillator) and added background coloring that has a lower and higher threshold setting. i also added a smoothing moving average. this will trigger threshold levels (not the core oscillator)
above higher level would indicate trending market conditions and its purple. these are the areas where you might want to buy low period moving average bounces like 10 or 21 ema
lower band will paint indicator background blue and its cold, meaning range bound trade ideas are likely play out better. selling resistance and buying horizontal supports for example.
you are encourage to play with lookback period and change thresholds until you find something that works for your trading.
on the picture above it illustrates how i intended its usage.
it also shows divergences which was not intended but also a function.
you can also observe as the oscillator likes to coil up into a tight range (horizontal or a wedge formation) and when these break their trendlines explosive moves are incoming usually.
if you have a trading system and can generate a lot of signals but want to filter out some loser trades this could be the indicator you were looking for.
i hope this will be inline with community guidelines. my other publishing got removed unfortunately
Sma Indicator with Ratio (pr)SMA Indicator with Ratio (PR) is a technical analysis tool designed to provide insights into the relationship between multiple Simple Moving Averages (SMAs) across different time frames. This indicator combines three key SMAs: the 111-period SMA, 730-period SMA, and 1400-period SMA. Additionally, it introduces a ratio-based approach, where the 730-period SMA is multiplied by factors of 2, 3, 4, and 5, allowing users to analyze potential market trends and price movements in relation to different SMA levels.
What Does This Indicator Do?
The primary function of this indicator is to track the movement of prices in relation to several SMAs with varying periods. By visualizing these SMAs, users can quickly identify:
Short-term trends (111-period SMA)
Medium-term trends (730-period SMA)
Long-term trends (1400-period SMA)
Additionally, the multiplied versions of the 730-period SMA provide deeper insights into potential price reactions at different levels of market volatility.
How Does It Work?
The 111-period SMA tracks the shorter-term price trend and can be used for identifying quick market movements.
The 730-period SMA represents a longer-term trend, helping users gauge overall market sentiment and direction.
The 1400-period SMA acts as a very long-term trend line, giving users a broad perspective on the market’s movement.
The ratio-based SMAs (2x, 3x, 4x, 5x of the 730-period SMA) allow for an enhanced understanding of how the price reacts to higher or lower volatility levels. These ratios are useful for identifying key support and resistance zones in a dynamic market environment.
Why Use This Indicator?
This indicator is useful for traders and analysts who want to track the interaction of price with different moving averages, enabling them to make more informed decisions about potential trend reversals or continuations. The added ratio-based values enhance the ability to predict how the market might react at different levels.
How to Use It?
Trend Confirmation: Traders can use the indicator to confirm the direction of the market. If the price is above the 111, 730, or 1400-period SMA, it may indicate an uptrend, and if below, a downtrend.
Support/Resistance Levels: The multiplied versions of the 730-period SMA (2x, 3x, 4x, 5x) can be used as dynamic support or resistance levels. When the price approaches or crosses these levels, it might indicate a change in the trend.
Volatility Insights: By observing how the price behaves relative to these SMAs, traders can gauge market volatility. Higher multiples of the 730-period SMA can signal more volatile periods where price movements are more pronounced.
