Coppock Curve with Pivot Points and Divergence The Coppock Curve is a long-term price momentum indicator used primarily to recognize major downturns and upturns in a stock market index. It is calculated as a 10-month weighted moving average of the sum of the 14-month rate of change and the 11-month rate of change for the index. It is also known as the "Coppock Guide."
The Coppock formula was introduced in Barron's in 1962 by Edwin Coppock.
The Coppock Curve is a technical indicator that provides long-term buy and sell signals for major stock indexes and related ETFs based on shifts in momentum.
What Does the Coppock Curve Tell You?
The Coppock Curve was originally implemented as a long-term buy and sell indicator for major indices such as the S&P 500 and the Wilshire 5000. Often, it is used with long-term time series such as a candlestick chart, but where each candle contains a month's worth of price information.
The Difference Between the Coppock Curve and Rate of Relative Strength Index (RSI)?
The relative strength index looks at how the current price compares to prior prices, though it is calculated differently than the rate of change (ROC) indicator used in the Coppock Curve calculation. Therefore, these indicators will provide different trade signals and information.
What are those circles?
-These are Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish.
What are those triangles?
- These are Pivots . They show when the VPT oscillator might reverse, this is important to know because many times the price action follows this move.
Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
Cari dalam skrip untuk "momentum"
Jackrabbit.modulus.MovingAveragesThis is the Moving Averages indicator for the Jackrabbit suite and modulus framework.
This indicator supports differential timeframe analysis and confirmational bias. Dynamic timeframes are supported.
Three different algorithms are supported: Crossover/under, The 37 rule, and momentum. For momentum, the fast line is the upper boundary and the slow line is the lower boundrary. When crosses take place, the maximum and minimum vals are calculated properly in relation to the crossing points.
The main indicatior and the confirmational indicator can both be individually tuned for the fast, and slow moving averages with different and independent lengths and 27 different moving average types:
SMA, Double SMA, Triple SMA,
EMA, Double EMA, Triple EMA,
WMA, Double WMA, Triple WMA,
VWMA, Double VWMA, Triple VWMA,
Hull, Double Hull, Triple Hull,
ZLEMA, Double ZLEMA, Triple ZLEMA,
SWMA, Double SWMA, Triple SWMA,
SSMA, Double SSMA, Triple SSMA,
SMMA,Double SMMA, Triple SMMA
All moving averages can also have their own source input: Open, Close, High, Low, HL2, HLC3, and OHLC4
The Jackrabbit modulus framework is a plug in play paradigm built to operate through TradingView's indicator on indicatior (IoI) functionality. As such, this script receives a signal line from the previous script in the IoI chain, and evaluates the buy/sell signals appropriate to the current analysis. The results are either combined with the signal line, or used as confirmation to the signal line. A new signal line is generated for the next script in the link.
Buy/Sell alerts are produced by the main Jackrabbit script, or the modulus AlertSystem script. This script is not designed or meant to function outside my framework and contains no alert capabilities.
By default, the signal line is visible and the charts are turned off. Signal line visibility is controlled by the Style tab, and the charts display is controlled by the indicator settings tab.
This script is by invitation only. To learn more about accessing this script, please see my signature or send me a PM. Thank you.
Momentum & Williams %R This strategy join 2 power study indicators on the same plot: Willian %R and Momentum.
Willian %R can indicate the good time for you buy or sale. Less than -80 indicate good buying opportunity . Greater than -20 good sale opportunity.
Momentum can indicate the good price for buy or sale, in other words, can indicate the speed the price goes down or goes up.
By Baldasso, March 2019.
Effortless ScalpingEffortless Scalping is an indicator that primarily is used for stock options trading.
Effortless Scalping is based off of momentum. Our script takes into account the price action, volume, and historical data points of a stock to give potential "buy" and "sell" areas.
Effortless Scalping is a protected script because its Buy and Sell signals are based off of custom coded confirmations. This is what makes our script unique. We also have custom coded CHOP Filters in the indicator.
Effortless Scalping has a custom EMA line that flows with the trend of the market. It also changes colors to indicate a bullish or bearish trend . It also will change into a yellow color if the CHOP of the market exceeds your allowance. This EMA line is the only "classic" element of our custom coded script.
You can easily use Effortless Scalping by applying it straight to your chart. You can customize several visual effects in the settings menu.
Effortless Scalping also has two types of signals--RISKY signals and normal signals. Risky signals have a higher risk, but also a higher reward.
Effortless Scalping also features take profit levels based off of ATR levels.
Effortless Scalping also has custom support and resistance lines to better help you analyze the movement of a stock. These levels are based off of pivot levels.
Effortless Scalping can not predict the future move of a stock. Our script uses historical data points to alert POTENTIAL entries. These historical data points by NO MEANS predict the future movement of the market.
Effortless Scalping was created to help me understand the movement of a stock and why it may be moving in that direction. I personally found success using this script. I am sharing it because I am hoping that others find success in this script as well. I also like to trade quite frequently, and several times a day, so I made an indicator that is both accurate and alerts frequently.
This indicator does NOT provide financial advice. It is intended for general use only.
Change of Moving Averages - TableChange of Moving Averages is a companion table that shows the change of the major moving averages rather than the moving averages themselves in order to more easily interpret momentum.
It can be used for an SMA , EMA , TEMA or VWMA averages with an adjustable source, length and time offset. It uses a daily interval but it can be disabled in settings in order to show the selected interval. The number of days used to calculate the change can be adjusted however this may produce unexpected results if the change is calculated across a peak or trough of the moving average.
More interested in the change of the moving averages over time? Check out "Change in Moving Averages - Chart":
Have modification ideas for this indicator? Just let me know and I will gladly consider them!
Change of Moving Averages - ChartChange of Moving Averages charts the change of the major moving averages rather than the moving averages themselves. This is done in a separate panel, rather than being overlaid in order to more easily interpret momentum.
Change of Moving Averages has dual colored lines, in order to better see when the MA has crossed zero(dotted line). It can be used for an SMA , EMA , TEMA or VWMA averages with an adjustable source, length and time offset. It uses a daily interval but it can be disabled in settings in order to show the selected interval. The number of days used to calculate the change can be adjusted however this may produce unexpected results if the change is calculated across a peak or trough of the moving average.
More interested in just the latest change in the moving averages? Check out the "Change in Moving Averages - Table", which is a simple overlay table:
Have modification ideas for this indicator? Just let me know and I will gladly consider them!
Momentum Sentiment Indicator by mattzabThis indicator uses 3 moving averages and includes volume to display sentiment and momentum.
By default, a 5, 8, and 13 SMA is displayed (black lines).
The colored bands are the corresponding volume weighted moving averages.
When the colored band is above the black line, sentiment is bullish.
Think of the color as being a show of volume, and the black lines as support and resistance.
When the lines are trending up, and colors are above the black lines, an uptrend is in progress.
When the colors are mixed above and below, and the lines are intertwined, it is a ranging market.
The lines operate similar to the Williams Alligator.
Momentum Wave Oscillator📈 Momentum Wave Oscillator (MWO) 📈
The Momentum Wave Oscillator (MWO) is a precision-designed tool for traders who want early, reliable insight into market shifts — before they fully appear on price charts.
Instead of reacting late to moves, MWO is engineered to anticipate changes in momentum by tracking market pressure within a dynamic range.
Its built-in bands and visual cues make it simple to spot key moments where momentum exhaustion, reversals, or fresh breakouts are most likely to occur.
How to Use:
Buy Zones: When the oscillator moves up from lower regions (typically below 20), it may indicate momentum building to the upside.
Sell Zones: When the oscillator moves down from upper regions (typically above 80), it may suggest momentum starting to weaken.
Dynamic Bands:
Unlike conventional fixed levels like 20 and 80, MWO features dynamic adaptive bands that better reflect real-time changes in market behavior.
Markets are fluid — volatility and momentum strength vary from cycle to cycle. Static zones can miss important shifts or produce false signals.
The dynamic bands allow the indicator to adapt naturally to changing conditions, offering more precise context for overbought, oversold, or breakout environments.
Background Colors and Labels:
Automatic highlights appear when potential turning points are detected, allowing traders to act quickly without chart clutter.
Best Practices:
Use the MWO as a confirmation tool alongside your existing strategy (trendlines, support/resistance, volume spikes, etc.).
Look for agreement between the MWO and price action for higher probability entries.
Avoid relying on it in isolation during extremely low-volume periods, where momentum may appear artificially weak or strong.
Adjust sensitivity settings depending on your trading style (scalping vs swing trading).
Important Note:
The MWO is designed for educational and informational purposes. No indicator can predict the future with certainty. Always combine it with proper risk management and your personal trading plan.
Aesthetic RSI [AlchimistOfCrypto]🌌 Aesthetic RSI – Unveiling the Fractal Forces of Markets 🌌
Category: Momentum Indicators 📈
"The RSI oscillator, formalized through an advanced mathematical prism, reveals the underlying fractal structures of price movements. This indicator draws inspiration from quantum principles of divergence-convergence where the probability of a return to equilibrium increases proportionally to the distance from the median point. Our implementation employs sophisticated algorithmic smoothing to filter out the stochastic noise inherent in financial markets, allowing visualization of the true momentum forces according to thermodynamic entropy principles applied to trading systems."
📊 Professional Trading Application
The Aesthetic RSI is a visually stunning and mathematically refined take on the classic Relative Strength Index. With customizable settings, advanced smoothing, and eight unique visual palettes, it empowers traders to detect momentum shifts and divergences with unparalleled clarity.
⚙️ Indicator Configuration
- Length 📏
The core parameter (default: 20) that determines the calculation period.
- Lower values (8-14): Increase sensitivity for short-term trading.
- Higher values (21-34): Provide stronger signals for position trading.
- OverBought/OverSold Thresholds 🎯
Customizable boundaries (default: 75/25) to identify extreme market conditions.
- Calibrate based on asset volatility: Higher volatility assets may need wider thresholds (80/20) to reduce false signals.
- Style 🎨
Eight meticulously crafted visual palettes optimized for pattern recognition:
- Miami Vice (default): High-contrast cyan/magenta scheme for spotting divergences.
- Cyberpunk: Yellow/purple combo to highlight momentum shifts.
- Classic: Traditional green/red for conventional analysis.
- High Contrast: Maximum visual separation for traders with visual impairments.
- Specialized palettes (Forest, Ocean, Fire, Monochrome): Tailored for diverse market conditions.
- Mode Selection 🔄
- Full: Displays a complete gradient spectrum across the RSI range, emphasizing momentum transitions between 35-65.
- OverZone: Focuses on actionable extreme zones, reducing noise in ranging markets.
🚀 How to Use
1. Adjust Length ⏰: Set the period based on your trading style (short-term or long-term).
2. Fine-Tune Thresholds 🎚️: Customize overbought/oversold levels to match the asset’s volatility.
3. Select a Palette 🌈: Choose a visual style that enhances your pattern recognition.
4. Choose Mode 🔍: Use "Full" for detailed momentum analysis or "OverZone" for extreme zone focus.
5. Spot Divergences ✅: Look for price-RSI divergences to anticipate reversals.
6. Trade with Precision 🛡️: Combine with other indicators for high-probability setups.
📅 Release Notes (April 2025)
Aesthetic RSI blends quantum-inspired mathematics with artistic visualization, redefining momentum analysis. Stay tuned for future enhancements! ✨
🏷️ Tags
#Trading #TechnicalAnalysis #RSI #Momentum #Divergence #MultiTimeframe #TradingStrategy #RiskManagement #Forex #Stocks #Crypto #Bitcoin #AlgoTrading #DayTrading #SwingTrading #TheAlchimist #QuantumTrading #VisualTrading #PatternRecognition
3CRGANG - Histogram (Basic)This indicator provides traders with a unified view of momentum by combining multiple classic oscillators into a single histogram. By aggregating momentum signals into one visual output, it simplifies trend analysis, helping traders identify momentum shifts without managing multiple indicators separately.
What It Does
The 3CRGANG - Histogram (Basic) calculates a momentum-based histogram using a user-selected oscillator (e.g., RSI, MACD, MFI, RVI, Stochastic, Stochastic RSI, or TMASlope). The histogram is plotted with color-coded bars to indicate bullish, bearish, or neutral momentum, alongside predefined alert levels and a trend status table for quick reference.
Why It’s Useful
This script addresses the challenge of monitoring multiple momentum indicators by consolidating them into a single histogram. Each oscillator measures momentum differently (e.g., RSI tracks price strength, MACD focuses on moving average convergence, MFI incorporates volume), but the script normalizes these signals into a unified output. This reduces chart clutter and provides a clear, actionable signal for identifying trend direction, making it easier for traders to focus on key momentum shifts across various market conditions.
How It Works
The script follows these steps to generate the histogram:
Oscillator Selection: Traders choose one oscillator to base the histogram on. For example: RSI measures the speed and change of price movements, MACD tracks the relationship between two exponential moving averages, and MFI combines price and volume to measure buying/selling pressure. The choice of oscillator affects the histogram’s sensitivity to price movements.
Fast Oscillator Calculation: A fast-moving oscillator is computed using the selected method over a user-defined period (default: 8 bars). For instance, RSI calculates the relative strength of price gains versus losses, while MACD computes the difference between short and long EMAs. The result is normalized to a range centered around zero.
Histogram Plotting: The oscillator’s output is adjusted by a modification factor (default: 1) for sensitivity tuning and plotted as a histogram. Positive values indicate bullish momentum, negative values indicate bearish momentum, and values near zero suggest a lack of clear trend.
Color Coding: Bars are colored based on momentum and price direction: green for bullish momentum (price moving upward, histogram value typically positive), red for bearish momentum (price moving downward, histogram value typically negative), and grey for neutral momentum (ranging conditions or unclear trend).
Alert Levels: Predefined buy and sell levels are plotted as dotted lines to mark significant momentum thresholds. For most oscillators, levels are set at 20 (buy) and -20 (sell), representing overbought/oversold conditions based on historical performance. For TMASlope, levels are adjusted to 0.04 and -0.04, as it measures the slope of a triangular moving average relative to the average true range (ATR).
Trend Table: A table in the top-right corner displays the current timeframe’s trend status ("Buy Only," "Sell Only," or "Ranging") based on the histogram value, price direction, and alert levels, along with the histogram’s numerical value.
Underlying Concepts
The script is built on the concept of momentum aggregation, aiming to capture short-term price dynamics while filtering noise. By using a fast-moving oscillator, it emphasizes recent price action, and the histogram format provides a visual summary of momentum strength. The alert levels are derived from typical overbought/oversold thresholds for each oscillator, adjusted to ensure consistency across different methods. The trend table adds a layer of interpretation, helping traders quickly assess whether the momentum aligns with the broader trend.
Use Case
Trending Markets: In a bullish trend, green bars above the buy alert level (e.g., 20) indicate strong upward momentum, suggesting potential long entries. In a bearish trend, red bars below the sell alert level (e.g., -20) suggest short opportunities.
Ranging Markets: Grey bars or values between alert levels indicate a lack of clear momentum, prompting caution or scalping strategies.
Confirmation Tool: Use the histogram to confirm price action signals, such as breakouts or reversals, by ensuring momentum aligns with the direction of the move. For example, a breakout with green bars above the buy level may signal a stronger trend.
Settings
Choose Type: Select the oscillator to use (default: RSI - CLASSIC).
Source: Choose between Close or HL2 price data (default: Close).
Histogram Length: Set the period for oscillator calculation (options: 5, 8, 13; default: 8).
Modification Factor: Adjust the sensitivity of the histogram (default: 1).
Notes
The script supports classic oscillators only and operates on the current timeframe.
If volume data is unavailable for your ticker, MFI calculations may not work; select another oscillator to continue plotting.
Disclaimer
This indicator is a tool for analyzing market trends and does not guarantee trading success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
Balancelink : SMI-Optimal Stopping 1.0Core Components
Stochastic Momentum Index (SMI) Calculation:
The indicator computes the SMI on both the current and a dynamically selected lower timeframe. By applying exponential and simple moving averages, it derives smoothed SMI values along with an EMA signal line. Crossovers between these smoothed values serve as primary triggers for long and short entry signals.
Multi-Timeframe Analysis:
A helper function automatically selects an appropriate lower timeframe based on the chart’s current resolution. This allows the indicator to fine-tune its calculations for more precise momentum detection.
Dynamic Volatility Metrics:
It computes session-based statistics such as mean percentage changes and percentile levels. These statistics are then used in further calculations to estimate key metrics (e.g., “Global maximum bar” counts) that contribute to stop-loss and trend estimations.
Advanced Momentum and Stop-Loss Logic
Momentum Pattern Detection:
Using linear regression on price data (through a variable referred to as “vax”), the script detects distinct momentum patterns. It identifies local tops and bottoms, which can be visualized on the chart with optional markers.
Adaptive Stop-Loss Setting:
When a specific momentum pattern is recognized and confirmed by RSI conditions, the script calculates an optimal stop-loss level based on the current bar’s high and session volatility metrics. It then dynamically plots a stop-loss line along with an informative label displaying details such as:
The determined stop-loss level.
Global session statistics (e.g., the number of bars representing maximum momentum shifts).
RSI values and estimated trend, rebound, and reverse bar counts.
Alert Integration:
The script is set up to trigger alerts when key conditions are met (both for RSI below 65 and above 65), ensuring that traders are notified of potential reversal points or momentum shifts.
Customization Options
Visual Controls:
Users can toggle the display of momentum markers and labels, providing flexibility to either see a detailed breakdown on the chart or maintain a cleaner view.
Alert Conditions:
Predefined alert conditions based on the interplay between momentum patterns and RSI levels allow for real-time notifications, making it easier to manage trades without constant monitoring.
Momentum Charge Theory (MCT)-(TechnoBlooms)The Momentum Charge Theory (MCT) Indicator is an advanced physics and mathematics-inspired trend detection system designed to identify market energy shifts with precision. Unlike traditional indicators that rely on static formulas, MCT integrates entropy, volatility, kinetic energy, and wavelet transforms to map price dynamics in real time.
Built on Scientific Principles – This indicator applies quantum-inspired charge-discharge mechanics to spot early trend formations and reversals. Think of price action like an energy system: it charges (builds momentum) before an explosive move and discharges when that energy dissipates.
Core Concepts Behind MCT
1️⃣ Directional Market Entropy – Measuring Trend Strength
Entropy quantifies market randomness – is the trend structured or chaotic?
✅ A high-entropy market is uncertain (choppy price action), while a low-entropy market signals a strong directional trend.
✅ MCT normalizes entropy, allowing traders to differentiate trend acceleration from market noise.
2️⃣ Information Flow Volatility – Identifying Breakout Zones
Inspired by Econophysics, this component measures volatility based on information flow rather than simple price movements.
✅ Helps spot high-volatility breakout conditions before they occur.
✅ Filters out false breakouts caused by random market noise.
3️⃣ Kinetic Energy Momentum (KEM) – The Physics of Price Acceleration
Just like in physics, momentum is a function of mass and velocity – in trading, this translates to volume and price change.
✅ Uses kinetic energy equations to identify price acceleration zones.
✅ Helps detect momentum shifts before price visibly reacts.
4️⃣ Hilbert Transform Approximation – Slope & Trend Direction Analysis
Applies Hilbert Transforms to estimate trend angle shifts.
✅ Detects momentum decay and early reversal signals.
✅ Captures the true trend slope rather than relying on lagging moving averages.
5️⃣ Wavelet Transform – Advanced Noise Filtering & Trend Confirmation
Market movements contain multiple frequencies – wavelet transforms isolate dominant trends while removing short-term price noise.
✅ Improves trend clarity by reducing false signals.
✅ Acts as a final confirmation filter before generating Charge & Discharge signals.
Charge & Discharge – The Energy Behind Market Moves
🔹 Charge (Uptrend Activation)
A blue triangle appears below the candle when market conditions align for a strong bullish move.
📈 Indicates momentum buildup, low entropy, and trend strength confirmation.
🔸 Discharge (Downtrend Activation)
A purple triangle appears above the candle when price momentum weakens and market entropy increases.
📉 Suggests a potential trend exhaustion or reversal.
Best Use Cases for Traders
✅ Momentum Traders – Catch trend initiations before they gain full traction.
✅ Breakout Traders – Identify high-information flow zones with volatility-driven signals.
✅ Trend Followers – Avoid false signals by relying on entropy-driven confirmations.
The MCT indicator can be combined with any of your usual indicators for trend confirmation.
Momentum Volatility Ratio | AlphaNattMomentum Volatility Ratio | AlphaNatt
The Momentum Volatility Ratio (MVR) is a sophisticated indicator that measures price impulses relative to an asset's inherent volatility. Unlike standard momentum indicators, MVR adapts to changing market conditions by normalizing momentum against historical volatility patterns, helping traders identify truly significant price movements.
Key Features:
• Adapts automatically to each asset's volatility profile
• Distinguishes between normal market noise and significant impulses
• Beautiful gradient visualization with modern Quantra-inspired aesthetics
• Responsive and clear signals with minimal lag
• Customizable sensitivity and appearance settings
How It Works:
The MVR calculates normalized price momentum and adjusts it by recent volatility metrics. This volatility-adjustment ensures the indicator remains consistent across different market environments and timeframes. When price momentum exceeds what would be expected given the asset's normal volatility, the indicator shows a significant impulse that traders can act upon.
Indicator Components:
• Cyan Histogram/Background - Represents positive momentum impulses
• Magenta Histogram/Background - Represents negative momentum impulses
• Neutral Bands - Define the transition between normal and significant impulses
• Gradient Background - Provides visual context for impulse strength
• Smooth Histogram - Shows the main impulse signal with a beautiful glow effect
Trading Signals:
1. Strong Positive Impulse - When cyan histogram bars grow significantly above the zero line
2. Strong Negative Impulse - When magenta histogram bars extend significantly below the zero line
3. Impulse Weakening - When histogram bars begin to shrink toward the zero line
4. Momentum Shift - When the histogram changes color, indicating a potential trend change
Customizable Parameters:
• Length - Base calculation period for momentum (default: 6)
• Volatility Lookback - Historical period for volatility calculation (default: 100)
• Neutral Bands Length - Smoothing period for neutral bands (default: 15)
• Neutral Bands Multiplier - Controls width of neutral bands (default: 0.5)
• Standard Deviation Lookback - Period for standard deviation calculation (default: 150)
• Standard Deviation Multiplier - Controls sensitivity of extreme bands (default: 2.5)
• Style - Choose between Classic, Modern, and Signal visualization modes
Best Practices:
• Use MVR alongside price action for confirmation
• Watch for extreme readings followed by momentum shifts
• Pay attention to divergences between price and MVR
• Consider longer-term trends when interpreting signals
• Use shorter settings for more frequent signals, longer settings for less noise
About the Opus Series:
The MVR indicator is part of the Opus series of premium-quality technical indicators designed with both functional excellence and aesthetic beauty. Opus indicators feature smooth gradients, crisp visualization, and powerful analytical capabilities to enhance your trading experience.
For questions, feedback, or custom indicator requests, please feel free to leave a comment or contact me directly.
Happy Trading!
Not financial Advice
Uptrick: Acceleration ShiftsIntroduction
Uptrick: Acceleration Shifts is designed to measure and visualize price momentum shifts by focusing on acceleration —the rate of change in velocity over time. It uses various moving average techniques as a trend filter, providing traders with a clearer perspective on market direction and potential trade entries or exits.
Purpose
The main goal of this indicator is to spot strong momentum changes (accelerations) and confirm them with a chosen trend filter. It attempts to distinguish genuine market moves from noise, helping traders make more informed decisions. The script can also trigger multiple entries (smart pyramiding) within the same trend, if desired.
Overview
By measuring how quickly price velocity changes (acceleration) and comparing it against a smoothed average of itself, this script generates buy or sell signals once the acceleration surpasses a given threshold. A trend filter is added for further validation. Users can choose from multiple smoothing methods and color schemes, and they can optionally enable a small table that displays real-time acceleration values.
Originality and Uniqueness
This script offers an acceleration-based approach, backed by several different moving average choices. The blend of acceleration thresholds, a trend filter, and an optional extra-entry (pyramiding) feature provides a flexible toolkit for various trading styles. The inclusion of multiple color themes and a slope-based coloring of the trend line adds clarity and user customization.
Inputs & Features
1. Acceleration Length (length)
This input determines the number of bars used when calculating velocity. Specifically, the script computes velocity by taking the difference in closing prices over length bars, and then calculates acceleration based on how that velocity changes over an additional length. The default is 14.
2. Trend Filter Length (smoothing)
This sets the lookback period for the chosen trend filter method. The default of 50 results in a moderately smooth trend line. A higher smoothing value will create a slower-moving trend filter.
3. Acceleration Threshold (threshold)
This multiplier determines when acceleration is considered strong enough to trigger a main buy or sell signal. A default value of 2.5 means the current acceleration must exceed 2.5 times the average acceleration before signaling.
4. Smart Pyramiding Strength (pyramidingThreshold)
This lower threshold is used for additional (pyramiding) entries once the main trend has already been identified. For instance, if set to 0.5, the script looks for acceleration crossing ±0.5 times its average acceleration to add extra positions.
5. Max Pyramiding Entries (maxPyramidingEntries)
This sets a limit on how many extra positions can be opened (beyond the first main signal) in a single directional trend. The default of 3 ensures traders do not become overexposed.
6. Show Acceleration Table (showTable)
When enabled, a small table displaying the current acceleration and its average is added to the top-right corner of the chart. This table helps monitor real-time momentum changes.
7. Smart Pyramiding (enablePyramiding)
This toggle decides whether additional entries (buy or sell) will be generated once a main signal is active. If enabled, these extra signals act as filtered entries, only firing when acceleration re-crosses a smaller threshold (pyramidingThreshold). These signals have a '+' next to their signal on the label.
8. Select Color Scheme (selectedColorScheme)
Allows choosing between various pre-coded color themes, such as Default, Emerald, Sapphire, Golden Blaze, Mystic, Monochrome, Pastel, Vibrant, Earth, or Neon. Each theme applies a distinct pair of colors for bullish and bearish conditions.
9. Trend Filter (TrendFilter)
Lets the user pick one of several moving average approaches to determine the prevailing trend. The options include:
Short Term (TEMA)
EWMA
Medium Term (HMA)
Classic (SMA)
Quick Reaction (DEMA)
Each method behaves differently, balancing reactivity and smoothness.
10. Slope Lookback (slopeOffset)
Used to measure the slope of the trend filter over a set number of bars (default is 10). This slope then influences the coloring of the trend filter line, indicating bullish or bearish tilt.
Note: The script refers to this as the "Massive Slope Index," but it effectively serves as a Trend Slope Calculation, measuring how the chosen trend filter changes over a specified period.
11. Alerts for Buy/Sell and Pyramiding Signals
The script includes built-in alert conditions that can be enabled or configured. These alerts trigger whenever the script detects a main Buy or Sell signal, as well as extra (pyramiding) signals if Smart Pyramiding is active. This feature allows traders to receive immediate notifications or automate a trading response.
Calculation Methodology
1. Velocity and Acceleration
Velocity is derived by subtracting the closing price from its value length bars ago. Acceleration is the difference in velocity over an additional length period. This highlights how quickly momentum is shifting.
2. Average Acceleration
The script smooths raw acceleration with a simple moving average (SMA) using the smoothing input. Comparing current acceleration against this average provides a threshold-based signal mechanism.
3. Trend Filter
Users can pick one of five moving average types to form a trend baseline. These range from quick-reacting methods (DEMA, TEMA) to smoother options (SMA, HMA, EWMA). The script checks whether the price is above or below this filter to confirm trend direction.
4. Buy/Sell Logic
A buy occurs when acceleration surpasses avgAcceleration * threshold and price closes above the trend filter. A sell occurs under the opposite conditions. An additional overbought/oversold check (based on a longer SMA) refines these signals further.
When price is considered oversold (i.e., close is below a longer-term SMA), a bullish acceleration signal has a higher likelihood of success because it indicates that the market is attempting to reverse from a lower price region. Conversely, when price is considered overbought (close is above this longer-term SMA), a bearish acceleration signal is more likely to be valid. This helps reduce false signals by waiting until the market is extended enough that a reversal or continuation has a stronger chance of following through.
5. Smart Pyramiding
Once a main buy or sell signal is triggered, additional (filtered) entries can be taken if acceleration crosses a smaller multiplier (pyramidingThreshold). This helps traders scale into strong moves. The script enforces a cap (maxPyramidingEntries) to limit risk.
6. Visual Elements
Candles can be recolored based on the active signal. Labels appear on the chart whenever a main or pyramiding entry signal is triggered. An optional table can show real-time acceleration values.
Color Schemes
The script includes a variety of predefined color themes. For bullish conditions, it might use turquoise or green, and for bearish conditions, magenta or red—depending on which color scheme the user selects. Each scheme aims to provide clear visual differentiation between bullish and bearish market states.
Why Each Indicator Was Part of This Component
Acceleration is employed to detect swift changes in momentum, capturing shifts that may not yet appear in more traditional measures. To further adapt to different trading styles and market conditions, several moving average methods are incorporated:
• TEMA (Triple Exponential Moving Average) is chosen for its ability to reduce lag more effectively than a standard EMA while still reacting swiftly to price changes. Its construction layers exponential smoothing in a way that can highlight sudden momentum shifts without sacrificing too much smoothness.
• DEMA (Double Exponential Moving Average) provides a faster response than a single EMA by using two layers of exponential smoothing. It is slightly less smoothed than TEMA but can alert traders to momentum changes earlier, though with a higher risk of noise in choppier markets.
• HMA (Hull Moving Average) is known for its balance of smoothness and reduced lag. Its weighted calculations help track trend direction clearly, making it useful for traders who want a smoother line that still reacts fairly quickly.
• SMA (Simple Moving Average) is the classic baseline for smoothing price data. It offers a clear, stable perspective on long-term trends, though it reacts more slowly than other methods. Its simplicity can be beneficial in lower-volatility or more stable market environments.
• EWMA (Exponentially Weighted Moving Average) provides a middle ground by emphasizing recent price data while still retaining some degree of smoothing. It typically responds faster than an SMA but is less aggressive than DEMA or TEMA.
Alongside these moving average techniques, the script employs a slope calculation (referred to as the “Massive Slope Index”) to visually indicate whether the chosen filter is sloping upward or downward. This adds an extra layer of clarity to directional analysis. The indicator also uses overbought/oversold checks, based on a longer-term SMA, to help filter out signals in overstretched markets—reducing the likelihood of false entries in conditions where the price is already extensively extended.
Additional Features
Alerts can be set up for both main signals and additional pyramiding signals, which is helpful for automated or semi-automated trading. The optional acceleration table offers quick reference values, making momentum monitoring more intuitive. Including explicit alert conditions for Buy/Sell and Pyramiding ensures traders can respond promptly to market movements or integrate these triggers into automated strategies.
Summary
This script serves as a comprehensive momentum-based trading framework, leveraging acceleration metrics and multiple moving average filters to identify potential shifts in market direction. By combining overbought/oversold checks with threshold-based triggers, it aims to reduce the noise that commonly plagues purely reactive indicators. The flexibility of Smart Pyramiding, customizable color schemes, and built-in alerts allows users to tailor their experience and respond swiftly to valid signals, potentially enhancing trading decisions across various market conditions.
Disclaimer
All trading involves significant risk, and users should apply their own judgment, risk management, and broader analysis before making investment decisions.
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! 🚀
Uptrick: Quantum RSI +Uptrick: Quantum RSI+ (QR-Pro) is a technical analysis indicator designed to enhance the functionality of the traditional Relative Strength Index (RSI). It incorporates adaptive volatility adjustments, threshold calculations, divergence detection, and visualization enhancements. This script is a vendor-protected indicator, and its source code is not publicly available. It adheres to TradingView’s vendor requirements while providing traders with a refined approach to analyzing market momentum, strength, and trend conditions.
Purpose:
The purpose of Quantum RSI+ (QR-Pro) is to adapt the RSI methodology dynamically based on changing market conditions. By utilizing smoothing techniques, adjustable length calculations, and divergence detection, it provides a structured way to evaluate trend strength and potential reversals. The indicator aims to offer a balanced response to varying levels of market volatility, helping traders minimize lag while reducing signal noise. Unlike standard RSI indicators that rely on fixed period settings, this script adapts to real-time market conditions, offering enhanced responsiveness and more accurate detection of potential reversal points.
Overview:
Quantum RSI+ (QR-Pro) modifies traditional RSI calculations by integrating a state-based adjustment system that alters the RSI length dynamically. This allows the indicator to respond more effectively to different volatility environments. It incorporates multiple analytical tools, such as divergence detection and support/resistance visualization, to assist in identifying momentum shifts and trend strength. In addition, the script offers an advanced metrics table that provides deeper insights into market statistics such as entropy, kurtosis, and volatility analysis. These insights are valuable for traders who wish to understand market structure in greater detail and adjust their strategies accordingly.
Originality:
This indicator differentiates itself by combining adaptive RSI length adjustments, divergence detection, and dynamic learning zones. Unlike standard RSI implementations that use fixed calculations, Quantum RSI+ (QR-Pro) adjusts automatically to market volatility, making it more responsive and effective under changing conditions. The advanced metrics table, which includes measures like the Hurst exponent, entropy, kurtosis, and volatility Z-score, further distinguishes the script by offering an additional layer of market intelligence. These metrics help traders determine whether a market is trending or mean-reverting, assess randomness, and identify volatility spikes, thereby justifying the script's value compared to freely available alternatives.
Enhanced RSI Framework:
Quantum RSI+ (QR-Pro) introduces a framework that adjusts RSI sensitivity based on volatility. Traditional RSI methods use a fixed calculation period, which can result in signals that either react too slowly or too quickly depending on market behavior. This indicator modifies the RSI length dynamically, shortening it in high-volatility periods to capture rapid shifts while extending it in low-volatility periods to filter out noise. This adaptive approach provides a more balanced assessment of market momentum and helps traders avoid false signals. It is best used in conjunction with other technical analysis tools to validate trade setups and manage risk effectively.
Advanced Adaptive Smoothing:
The script employs a multi-layered smoothing technique to refine RSI readings. Traditional RSI indicators can be affected by market noise, leading to erratic signals. By applying a structured smoothing process, Quantum RSI+ (QR-Pro) helps identify sustained trends while filtering out short-lived fluctuations. This balance between reactivity and stability leads to more reliable momentum assessments, making it easier for traders to discern genuine market movements from transient noise.
Dynamic Market Intelligence:
Instead of relying on static thresholds, Quantum RSI+ (QR-Pro) calculates its levels dynamically based on historical market performance. This approach provides a contextual understanding of market conditions, allowing traders to better anticipate reversals. Additional validation methods further increase the reliability of the signals, making the indicator a practical tool for confirming potential trend changes in real time.
Inputs:
• Line Width – Sets the thickness of the RSI plot line for visual clarity.
• MA Type for Quantum RSI – Allows users to choose the type of moving average (SMA, EMA, WMA, or VWMA) to overlay on the Quantum RSI.
• MA Length – Defines the period used for the selected moving average, providing additional trend filtering.
• Enable Moving Average – Toggles the calculation and plotting of the chosen moving average on the RSI. Bar coloring is then adjusted according to the slope of this MA if enabled.
• Ribbon Help – Enables or disables a moving average ribbon that visually compares two moving averages for enhanced trend clarity. Bar coloring is then adjusted according to the slope of this Ribbon if enabled.
• Ribbon Difference – Adjusts the gap between the fast and slow moving averages used in the ribbon visualization.
• Slope Length – Determines the period for calculating the slope of the moving average, which influences its color representation based on trend direction. A higher value usually can help filter out more noise as it would not be affected by small moves.
• Show Advanced Metrics Table – Toggles the display of a table that presents advanced market metrics.
Features and Usage:
• Adaptive RSI Length – Dynamically adjusts the RSI length based on market volatility. Traders can use this feature to obtain more responsive RSI signals during volatile periods and smoother readings during calmer market conditions.
• Quantum RSI Smoothing – Applies a structured smoothing process to RSI values to reduce noise, helping traders focus on genuine momentum shifts rather than transient fluctuations.
• Holographic Divergence Detection – Detects bullish and bearish divergences by comparing price action with RSI movements. This feature can be used to confirm potential trend reversals when combined with other market data.
• Gradient-Filled Zones – Highlights areas with smooth gradient transitions, making it easier to visualize and anticipate shifts in market sentiment.
• Moving Average of RSI – Overlays different moving averages on the RSI to provide additional trend filtering and confirmation for trading decisions.
• Ribbon Visualization – Displays a dynamic moving average ribbon that compares fast and slow moving averages, offering additional visual context and clarity regarding trend direction and potential momentum shifts.
• Metrics Table – Presents market statistics such as the Hurst exponent, Shannon entropy, kurtosis, skewness, fractal dimension, and volatility Z-score. These metrics offer deeper insights into market structure, assisting traders in understanding whether markets are trending or reverting and identifying periods of uncertainty. Here's what the metrics tell you:
• Hurst Exponent – Provides insight into whether market behavior tends to follow a trending or mean-reverting pattern.
• Shannon Entropy – Gauges the randomness or unpredictability in price movements, reflecting market stability.
• Kurtosis – Highlights the likelihood of extreme price swings, indicating the presence of heavy tails in the return distribution.
• Skewness – Indicates the asymmetry in the distribution of returns, pointing to potential biases in price direction.
• Fractal Dimension – Assesses the complexity of market patterns, revealing the intricacy of price action.
• Volatility Z-Score – Standardizes current volatility relative to historical levels, helping to identify periods of unusual market activity.
• UPT State – Provides a qualitative evaluation of the overall market environment, categorizing conditions as favorable, cautionary, or neutral for trading.
• Alerts – Built-in alert conditions notify users when bullish or bearish divergences occur, enabling traders to automate signal detection and respond promptly to market changes.
Summary:
Quantum RSI+ (QR-Pro) is a structured RSI-based momentum analysis tool that adapts to market conditions dynamically. By incorporating volatility-based adjustments, adaptive threshold calculations, and divergence detection, it delivers enhanced trend recognition and trade signals. Its advanced visualization techniques and moving average options offer a clear representation of market dynamics, while the advanced metrics table provides additional insights into market structure and behavior. Traders can use this indicator to identify overbought and oversold conditions dynamically, filter market noise through adaptive smoothing, and confirm trade signals using divergence detection. It is best applied as part of a comprehensive technical analysis strategy to validate trends and potential reversals in real-world trading scenarios.
Disclaimer:
This indicator is a technical analysis tool and should not be considered financial advice. Trading involves significant risk, and past performance does not guarantee future results. Users should exercise discretion and employ proper risk management when utilizing this tool in live trading.
Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI
Introduction
The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSI—and further refining it with a Zero-Lag Moving Average (ZLMA)—this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience.
Why Combine RSI with FRAMA
Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions.
By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure.
With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes.
Originality
This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility.
This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions.
Features
Adaptive FRAMA RSI
The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts.
Zero-Lag Moving Average (ZLMA)
A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection.
Bullish and Bearish Threshold Crossovers
This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals.
Noise Filter and Manual Alpha
A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicator’s sensitivity.
Divergence Detection
The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals.
Reversal Signals
Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals.
Buy and Sell Signal Options
Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style.
ZLMA:
FRAMA:
Customizable Alerts
Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed.
Fully Customizable Bar Coloring System
Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition.
Input Parameters and Features
Core Inputs
RSI Length (default: 14) defines the period for RSI calculations.
FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function.
RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish.
Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals.
Additional Features
Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold.
Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots.
Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points.
Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry.
ZLMA Enhancements
ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI.
Visualization Options
Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor.
Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level.
How It Works
FRAMA Calculation
FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness.
RSI with FRAMA Smoothing
RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag.
Bullish and Bearish Threshold Crosses
A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals.
Buy and Sell Signal Options
Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing.
Divergence Detection
The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals.
Reversal Signal Labels
When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points.
Bar Coloring System
Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment.
Alerts and Internal Stats
Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator.
Summary
The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters.
Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading.
Disclaimer
This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
Prime OscilatorPrime Oscilator is a powerful tool designed to help traders track momentum shifts and confirm trends in volatile markets. This oscillator-based tool integrates advanced market analysis techniques to provide a clear picture of momentum and trend direction, helping traders stay in sync with the prevailing market conditions.
Core Features of Prime Oscilator
Oscillator-Based Momentum Tracking: Prime Oscilator operates as a dynamic oscillator that tracks shifts in market momentum by analyzing the relationship between the A/D line and its signal line. This allows traders to identify potential changes in market direction and confirm trend strength.
Trend Confirmation Filter: Prime Oscilator incorporates a long-term trend filter, using a 50-period Simple Moving Average (SMA) to confirm whether the market is trending upward or downward. This helps traders focus on trades that align with the broader market direction.
Adaptive Signal Line: The oscillator’s signal line adjusts dynamically to reflect short-term momentum changes, allowing traders to react quickly to evolving market conditions. This makes the Prime Oscilator highly responsive to both fast-moving and stable markets.
Color-Coded Oscillator Line: The oscillator line changes color based on the current market conditions, providing a visual cue of momentum shifts. The line remains green during upward momentum and red during downward momentum, giving traders an easy way to gauge the market direction.
How Prime Oscilator Works
Prime Oscilator blends the power of trend analysis with momentum tracking to provide a comprehensive view of market conditions. By analyzing the Accumulation/Distribution (A/D) line and comparing it to a dynamic signal line, traders can monitor momentum shifts and confirm trends.
A/D Line Crossover: The indicator uses the relationship between the A/D line and the signal line to detect potential momentum changes. When the A/D line moves relative to the signal line, it reflects shifts in market momentum, allowing traders to follow the direction of the trend.
Trend Filtering: To ensure that momentum is aligned with the broader market direction, Prime Oscilator uses a 50-period SMA as a trend filter. This confirms whether the market is in an uptrend or downtrend and helps traders avoid focusing on short-term fluctuations that go against the prevailing trend.
Why It's Useful for Traders
Prime Oscilator is especially valuable for traders looking for a reliable way to track momentum shifts while aligning their trades with the overall market trend. This reduces noise and ensures that traders focus on opportunities that are in line with broader market movements.
Momentum-Based Trend Analysis: By tracking momentum changes, Prime Oscilator helps traders stay on top of potential market shifts without the noise that comes from traditional indicators.
Clear Visual Feedback: The color-coded oscillator line provides instant feedback on market conditions, allowing traders to focus on decision-making rather than analyzing multiple indicators.
Flexible Across Markets and Timeframes: Whether you are trading in volatile markets or more stable environments, Prime Oscilator adapts to different market conditions, ensuring you always have a clear picture of momentum and trend.
Prime Oscilator is ideal for traders who:
Scalp or trade intraday: Quickly captures momentum shifts in short timeframes.
Swing traders: Identifies potential trend reversals in higher timeframes while confirming momentum strength.
Trend followers: Ensures your trades are aligned with the prevailing market trend by confirming momentum shifts.
By combining momentum analysis with trend direction, Prime Oscilator offers a dynamic view of the market, helping traders navigate changing conditions with ease.
Why It's Worth Paying For
Prime Oscilator provides several unique advantages that make it a valuable tool for traders:
Clear and Actionable Insights: The oscillator-based momentum tracking gives traders a clear understanding of when the market's momentum is shifting, allowing for more informed trading decisions.
No Lagging: Unlike some trend-following indicators, Prime Oscilator reacts dynamically to market changes, helping traders stay aligned with the current market direction.
Adaptable and Flexible: Whether you trade on shorter timeframes or hold longer positions, Prime Oscilator adapts seamlessly to various market conditions. The trend filter ensures that traders remain aligned with broader market trends.
Visual Simplicity: The color-coded oscillator line and background shading provide an easy-to-read way of monitoring market conditions, enabling faster decision-making.
How to Get Access
To gain access to Prime Oscilator , please send me a direct message on TradingView or follow the provided link to request access. Ensure that access requests are made privately so the comments section remains focused on discussions related to the script’s performance and use.
Risk Disclaimer
While Prime Oscilator offers valuable insights into market momentum and trends, it’s important to note the following:
Past performance is not indicative of future results: Prime Oscilator ’s trend and momentum analysis are based on historical data, and no indicator can predict future price movements with certainty.
Market Conditions: The effectiveness of the Prime Oscilator may vary across different market conditions, and traders should always use proper risk management when trading.
Trading Risks: Like any trading tool, Prime Oscilator should be used as part of a comprehensive trading strategy that includes risk management techniques such as stop-loss orders and position sizing.
MMI (Multi.Index.Indicator)Multi-Index Momentum Indicator (MMI)
The Multi-Index Momentum Indicator (MMI) is a custom TradingView Pine Script indicator designed to calculate and display the momentum difference between the base and quote indexes of various currency pairs. This indicator helps traders identify the relative strength or weakness of a currency pair by comparing the momentum of its base and quote indexes.
Features:
Currency Pair Detection: The indicator automatically detects the currency pair of the current chart and selects the appropriate base and quote indexes for that pair.
Index Data Retrieval: It fetches the closing prices of the base and quote indexes for the specified timeframe.
Momentum Calculation:
The indicator calculates the 14-period momentum for both the base and quote indexes and then computes the momentum difference.
Visual Representation: The momentum difference is plotted on the chart as a colored line. If the momentum difference is positive, the line is green; if negative, the line is red.
Data Availability Check:
The script checks if the index data is available. If any index data is missing, the script displays a red label on the chart indicating which index data is missing.
Zero Line: A horizontal line at the zero level is plotted for reference.
Supported Currency Pairs and Their Indexes:
USDJPY: Base Index - DXY, Quote Index - JPYX
EURUSD: Base Index - EXY, Quote Index - DXY
GBPUSD: Base Index - BXY, Quote Index - DXY
AUDUSD: Base Index - AXY, Quote Index - DXY
USDCHF: Base Index - DXY, Quote Index - SXY
USDCAD: Base Index - DXY, Quote Index - CXY
GBPJPY: Base Index - BXY, Quote Index - JPYX
Momentum Ghost Machine [ChartPrime]Momentum Ghost Machine (ChartPrime) is designed to be the next generation in momentum/rate of change analysis. This indicator utilizes the properties of one of our favorite filters to create a more accurate and stable momentum oscillator by using a high quality filtered delayed signal to do the momentum comparison.
Traditional momentum/roc uses the raw price data to compare current price to previous price to generate a directional oscillator. This leaves the oscillator prone to false readings and noisy outputs that leave traders unsure of the real likelihood of a future movement. One way to mitigate this issue would be to use some sort of moving average. Unfortunately, this can only go so far because simple moving average algorithms result in a poor reconstruction of the actual shape of the underlying signal.
The windowed sinc low pass filter is a linear phase filter, meaning that it doesn't change the shape or size of the original signal when applied. This results in a faithful reconstruction of the original signal, but without the "high frequency noise". Just like any filter, the process of applying it requires that we have "future" samples resulting in a time delay for real time applications. Fortunately this is a great thing in the context of a momentum oscillator because we need some representation of past price data to compare the current price data to. By using an ideal low pass filter to generate this delayed signal we can super charge the momentum oscillator and fix the majority of issues its predecessors had.
This indicator has a few extra features that other momentum/roc indicators dont have. One major yet simple improvement is the inclusion of a moving average to help gauge the rate of change of this indicator. Since we included a moving average, we thought it would only be appropriate to add a histogram to help visualize the relationship between the signal and its average. To go further with this we have also included linear extrapolation to further help you predict the momentum and direction of this oscillator. Included with this extrapolation we have also added the histogram in the extrapolation to further enhance its visual interpretation. Finally, the inclusion of a candle coloring feature really drives how the utility of the Momentum Machine .
There are three distinct options when using the candle coloring feature: Direct, MA, and Both. With direct the candles will be colored based on the indicators direction and polarity. When it is above zero and moving up, it displays a green color. When it is above zero and moving down it will display a light green color. Conversely, when the indicator is below zero and moving down it displays a red color, and when it it moving up and below zero it will display a light red color. MA coloring will color the candles just like a MACD. If the signal is above its MA and moving up it will display a green color, and when it is above its MA and moving down it will display a light green color.
When the signal is below its MA and moving down it will display a red color, and when its below its ma and moving up it will display a light red color. Both combines the two into a single color scheme providing you with the best of both worlds. If the indicator is above zero it will display the MA colors with a slight twist. When the indicator is moving down and is below its MA it will display a lighter color than before, and when it is below zero and is above its MA it will display a darker color color.
Length of 50 with a smoothing of 100
Length of 50 with a smoothing of 25
By default, the indicator is set to a momentum length of 50, with a post smoothing of 2. We have chosen the longer period for the momentum length to highlight the performance of this indicator compared to its ancestors. A major point to consider with this indicator is that you can only achieve so much smoothing for a chosen delay. This is because more data is required to produce a smoother signal at a specified length. Once you have selected your desired momentum length you can then select your desired momentum smoothing . This is made possible by the use of the windowed sinc low pass algorithm because it includes a frequency cutoff argument. This means that you can have as little or as much smoothing as you please without impacting the period of the indicator. In the provided examples above this paragraph is a visual representation of what is going on under the hood of this indicator. The blue line is the filtered signal being compared to the current closing price. As you can see, the filtered signal is very smooth and accurately represents the underlying price action without noise.
We hope that users can find the same utility as we did in this indicator and that it levels up your analysis utilizing the momentum oscillator or rate of change.
Enjoy
Wave Pendulum Trend [QuantraSystems]Wave Pendulum Trend
Introduction
The Wave Pendulum Trend (𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭) extrapolates market trends using physical principles derived from waves and pendulums. This indicator is a bespoke build, and its performance and behavior cannot be compared to existing indicators.
It is designed for trend following but is also effective for identifying mean reversions, momentum strength, and shows range-bound market periods within the dynamic bands.
In order to ascertain a smooth yet rapid trend direction of the market, the 𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭 combines several factors. A bespoke set of functions captures the momentum of price movements and dynamically weighs it over time. The indicator then extrapolates acceleration from the change in delta of price movements.
Legend
With bar coloring enabled, the price section mirrors current trend conditions. Please keep this feature disabled if you intend to use multiple indicators to avoid confusion.
The 𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭 presents extensive market insights. The purple and green bands around the oscillator signal the selected standard deviation (default σ = 2), for the trader to calculate how common the trending movements are in relation to the selected asset’s history.
The inner, dynamic thresholds, indicated by the blue “Range-bound market” label in the graphic above, border the area that signals a ranging market if both 𝓐𝓬𝓬𝓮𝓵𝓮𝓻𝓪𝓽𝓲𝓸𝓷 and 𝓜𝓸𝓶𝓮𝓷𝓽𝓾𝓶 signals remain inside. If either line exceeds these thresholds, care is advised as a shift in market behavior is underway.
“Trend strength” in the graphic provides a good estimate for the trending movements strength.
If the signal lines exceed the set standard deviation in non-classic mode, a reversal is very likely.
Case Study
As shown in the above case study we see two profitable swing trades on the 4H chart of Ethereum. Please note the display variant here is set to “Heikin-Ashi”.
We always recommend using a multitude of indicators to attain multiple signals on the likelihood of opening the correct position. However, this standalone scenario serves as an example on how the 𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭 added two profitable swing trades.
The first short trade was opened after the 𝓐𝓬𝓬𝓮𝓵𝓮𝓻𝓪𝓽𝓲𝓸𝓷 and 𝓜𝓸𝓶𝓮𝓷𝓽𝓾𝓶 reversed after crossing the threshold of standard deviation. This trade offered a late entry only, these two factors were followed late by the third signal in this case – the trend reversal. Such a trade would require additional indicators to signal at the same time, so the trader can get more confirmations. The trade was closed after 6D with an 8% gain on a 1x short position.
The second trade is a long position that enters in the same manner. The trader takes the reversal beyond the select standard deviation as a likely entry. After 7D a triple confirmation was received, as indicated by the triangle, that a reversal or at least a plateau is extremely likely. The trade was closed after 7D with a 17.23% gain on a 1x long position.
Recommended Settings
Trend Following / Investing (1D chart)
Please use the default settings!
Swing Trading (4H chart)
Wave MA - Type: TEMA
Wave MA – Length: 30
Display Variant: Heikin-Ashi
Bar Coloring: Off
Choose Mode for Coloring: Signal
Notes
Quantra Standard Value Contents:
The Heikin-Ashi (HA) candle visualization smoothes out the signal line to provide more informative insights into momentum and trends. This allows earlier entries and exits by observing the indicator values transformed by the HA.
Various visualization options are available to adjust the indicator to the user’s preference: Aside from HA, a classic line, or a hybrid of both.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
To add to Quantra's indicators’ utility we have added the option to change the price bars colors based on different signals:
Settings: TEMA and DEMA length settings should be longer compared to other Moving Averages (MAs). Due to its complex calculations, the indicator requires a larger amount of historical data for accurate computation.
Sensitivity to Divergences: The Wave Pendulum Trend is particularly sensitive to divergences, making it a useful tool in spotting potential trend reversals or continuations.
Trend Following and Reversions: While it is primarily used for trend following, it also excels in identifying market reversions.
Momentum and Acceleration: The interaction between momentum and acceleration is a key feature of this indicator.
Visualization: The indicator offers various visualization options, including bar coloring based on HA Candles and extremes and trends. It also introduces a novel approach to visualizing the oscillator in the "Classic" mode and provides an adjustable Standard Deviation (SD) measure for reversal signals in non-classic modes.
Choose Mode for Coloring
Trend Following (Indicator above mid line counts as uptrend, below is downtrend)
Extremes (Everything beyond the SD bands is highlighted to signal mean reversion)
Candles (Color of HA candles as barcolor)
Reversions (Only for HA) (Reversion Signals via the triangles if HA candles change trend while beyond the SD bands, high probability entries/exits)
Methodology
The methodology behind the Wave Pendulum Trend is inspired by wave and pendulum theories to extrapolate market moves. By calculating the momentum and its acceleration from price data, it provides a nuanced view of the market trend.
Traders should observe the color coding, which reflects the interplay between momentum, acceleration, and set thresholds for acceleration. The Signal Mode is particularly useful for quickly identifying trend, momentum, and acceleration exhaustions.
Additionally, the indicator can help filter out ranges with insufficient momentum acceleration. Traders are encouraged to experiment with this mode and adjust the threshold settings to suit their strategies.
Momentum Reversal [AngelAlgo]The Momentum Reversal Indicator is a technical analysis tool used to identify potential reversals and trends in financial markets. It does this by comparing the momentum of a market to its trend. The momentum is calculated by measuring the change in price over a specified time interval set by the "Period" input. The trend is then determined as the simple moving average of the momentum, with the length of the moving average determined by the "Trend length" input. When the momentum deviates significantly from the trend, it is considered a potential reversal signal. The user can choose to receive signals based on either "Contrarian" or "Trend" signals type, and also has the option to smooth the signals using the Hull Moving Average. The indicator is plotted as a histogram with trading signals indicated by triangle shapes (up for buys, down for sells). The histogram is also accompanied by a smoothed line representation of the indicator and dynamic threshold levels.
The color of the histogram bars is green if the momentum is positive, red if it's negative. The histogram can be smoothed using the Hull Moving Average (HMA) if the "Smoothed signals" input is set to true.
The indicator also plots the threshold levels, which are dynamically calculated as the simple moving average (SMA) of the absolute value of the histogram. The threshold levels are plotted as circles on the chart.
The signals are plotted as arrows on the chart, either triangle-up for buy signals, or triangle-down for sell signals. If "Contrarian" signals are selected, a triangle-up will appear when the histogram crosses below the lower threshold, and a triangle-down will appear when it crosses above the upper threshold. If "Trend" signals are selected, a triangle-up will appear when the histogram crosses above the upper threshold, and a triangle-down will appear when it crosses below the lower threshold. Trend signals work for trending markets, Contrarian signals are good for ranging markets.
SETTINGS
Period: This input allows you to set the period for the momentum calculation. The default value is 14.
Trend length: This input allows you to set the length of the trend-following moving average. The default value is 50.
Signals type : This input allows you to choose the type of signals you want to receive. You can choose between "Contrarian" and "Trend" signals. The default value is "Contrarian".
Smoothed signals: This input allows you to choose between the raw or smoothed signals. If set to true, the signals will be based on the smoothed histogram line, otherwise, they will be based on the raw histogram. The default value is true.
