Reduced-Lag Chande Momentum Oscillator [BOSWaves]Reduced-Lag Chande Momentum Oscillator – Adaptive Momentum Geometry with Reduced-Latency Reversion Logic
Overview
The Reduced-Lag Chande Momentum Oscillator represents a sophisticated extension of the classical Chande Momentum Oscillator, preserving the foundational measurement of net directional pressure while addressing inherent limitations in lag, noise, and signal clarity. The traditional CMO provides reliable snapshots of upward versus downward force but reacts slowly to rapid market accelerations and can obscure meaningful momentum inflections with delayed readings. This iteration integrates a dual-stage reduced-lag filter, optional advanced smoothing, and acceleration-based analytics, producing a real-time, multi-dimensional representation of market momentum.
The design reframes classical momentum using a layered curvature and gradient structure - main, midline, and shadow - to show trajectory, velocity, and intensity in one view. Instead of the usual ±70/30 extremes, it uses ±50 as a statistically grounded threshold where one side of the market begins exerting true dominance. This captures structural imbalance more reliably, exposing exhaustion and actionable inflection without amplifying noise.
This visualization gives traders a continuous, responsive read on market structure, revealing not just direction but rate of change, acceleration alignment, and curvature behavior. The oscillator becomes a momentum map, expressing both probability and intensity behind directional shifts.
Where conventional oscillators mislabel short-lived swings as signals, the Reduced-Lag CMO separates baseline shifts from high-conviction transitions, enabling cleaner, more decisive signal interpretation.
Theoretical Foundation
The classical Chande Momentum Oscillator, created by Tushar Chande, calculates the normalized net difference between consecutive upward and downward price changes over a defined window, generating readings from –100 to +100. While effective for capturing basic directional pressure, the unmodified CMO suffers from signal latency and sensitivity to abrupt market swings, which can obscure actionable inflection points.
The Reduced-Lag CMO augments this foundation with three key mechanisms:
Reduced-Lag Filtering : A dual-EMA structure eliminates inertial lag, aligning the oscillator curve closely with real-time market momentum without producing overshoot artifacts.
Smoothing Architecture : Optional SMA, EMA, or WMA smoothing is applied post-filter, balancing noise reduction with trajectory fidelity. A multi-layer line system (shadow → midline → main) communicates depth, curvature, and gradient dynamics.
Acceleration Integration : First and second derivatives of the smoothed curve quantify velocity and acceleration, allowing the indicator to identify not only momentum flips but the force behind each shift, forming the basis for the strong-signal overlay.
The combination of these mechanisms produces an oscillator that respects the original CMO framework while delivering real-time, context-sensitive intelligence. The ±50 boundaries are selected as the statistically validated pressure zones where directional dominance exceeds neutral oscillation. Crosses and rejections at these boundaries are not arbitrary overbought/oversold events, but measurable imbalances with actionable significance.
How It Works
The Reduced-Lag CMO is constructed through a multi-stage process:
Momentum Estimation Core : Raw CMO values are calculated and then passed through a reduced-lag filter to remove delay, creating a curve that closely tracks instantaneous directional pressure.
Smoothing & Layered Representation : The filtered curve can be smoothed and split into three layers - shadow, midline, and main - giving visual depth, trajectory clarity, and curvature instead of a single-line oscillator.
Gradient-Based Pressure Mapping : Color gradients encode momentum strength and polarity. Green-yellow transitions highlight increasing upward dominance, while red-yellow transitions indicate weakening downward force.
Pressure-Zone Anchoring (±50) : The system defines statistically significant pressure zones at ±50. Moves beyond these levels reflect dominant directional control, and rejections inside the zone signal potential exhaustion.
Signal Generation : Momentum events are evaluated through velocity and acceleration. Standard signals appear as triangle markers indicating validated momentum flips. Strong signals appear as triangles with diamonds when acceleration confirms a high-conviction transition.
A cooldown rule spaces signals apart to reduce clutter and emphasize structurally meaningful events.
Interpretation
The Reduced-Lag CMO reframes momentum as a dynamic equilibrium between directional force and structural pressure:
Positive Momentum Phases : Curves above zero with green-yellow gradients indicate sustained upward pressure. Shallow retracements or midline tests denote controlled pullbacks.
Negative Momentum Phases : Curves below zero with red-yellow gradients show downward dominance. Rejections from –50 highlight potential exhaustion and reversal readiness.
Pressure-Zone Dynamics (±50) : Crosses beyond ±50 confirm dominant directional force. Meanwhile, rejections and rotations inside the zone signal structural fatigue.
Velocity & Acceleration Analysis : Rising momentum with decelerating velocity suggests fading force; acceleration alignment amplifies signal strength and forms the basis of strong signals.
Signal Architecture
The Reduced-Lag CMO produces a single event type with two intensities: a validated momentum inflection.
Standard Signals - Triangles:
Triggered by momentum flips confirmed by velocity.
Represent moderate-intensity directional changes.
Appear at zero-line crosses or ±50 rejections with aligned velocity.
Strong Signals Triangles + Diamonds:
Triggered when acceleration confirms the directional change.
Represent high-intensity, high-conviction shifts.
Rare by design; indicate robust momentum inflections.
Cooldown mechanics prevent repeated signals in short succession, emphasizing structural reliability over noise.
Strategy Integration
Trend Confirmation : Align zero-line flips with higher-timeframe directional bias.
Reversal Detection : Strong signals from ±50 zones highlight potential inflection points.
Volatility Assessment : Gradient transitions reveal strengthening or weakening momentum.
Pullback Timing : Multi-layer curvature identifies controlled retracements vs trend exhaustion.
Confluence Mapping : Pair with structure-based indicators to filter signals in context.
Technical Implementation Details
Core Engine : Classical CMO with Ehlers reduced-lag extension
Lag Reduction : Dual EMA filtering
Smoothing : Optional SMA/EMA/WMA post-filter
Multi-Layer Curve : Shadow, midline, main
Signal System : Two-tier momentum-acceleration framework
Pressure Zones : ±50 statistically validated thresholds
Cooldown Logic : Bar-indexed suppression
Gradient Mapping : Encodes magnitude and direction
Alerts : Standard and strong signals
Optimal Application Parameters
Timeframes:
1 - 5 min : Intraday momentum tracking
15 - 60 min : Trend rotations & volatility transitions
4H - Daily : Macro momentum exhaustion & re-accumulation mapping
Suggested Ranges:
CMO Length : 7 - 12
Reduced-Lag Length : 5 - 15
Smoothing : 10 - 20
Cooldown Bars : 5 - 15
Performance Characteristics
High Effectiveness:
Markets with directional pulses & clean pressure transitions
Trending phases with measurable pullbacks
Instruments with stable volatility cycles
Reduced Edge:
Choppy consolidations
Ultra-low volatility environments
Disclaimer
The Reduced-Lag Chande Momentum Oscillator is a professional-grade analytical tool. It is not predictive and carries no guaranteed profitability. Effectiveness depends on asset class, volatility regime, parameter selection, and disciplined execution. Any suggested application timeframes or recommended ranges are guidance only - they are not universally optimal and will not deliver consistent accuracy on every asset or market condition. BOSWaves recommends using it in conjunction with structure, liquidity, and momentum context.
Cerca negli script per "momentum"
Squeeze Momentum TD - A Revisited Version of the TTM SqueezeDescription:
The "Squeeze Momentum TD" is our unique take on the highly acclaimed TTM Squeeze indicator, renowned in the trading community for its efficiency in pinpointing market momentum. This script is a tribute and an extension to the foundational work laid by several pivotal figures in the trading industry:
• John Carter, for his creation of the TTM Squeeze and TTM Squeeze Pro, which revolutionized the way traders interpret volatility and momentum.
• Lazybear, whose original interpretation of the TTM Squeeze, known as the "Squeeze Momentum Indicator", provided an invaluable foundation for further development.
• Makit0, who evolved Lazybear's script to incorporate enhancements from the TTM Squeeze Pro, resulting in the "Squeeze PRO Arrows".
Our script, "Squeeze Momentum TD", represents a custom version developed after reviewing all variations of the TTM Squeeze indicator. This iteration focuses on a distinct visualization approach, featuring an overlay band on the chart for an user-friendly experience. We've distilled the essence of the TTM Squeeze and its advanced version, the TTM Squeeze Pro, into a form that emphasizes intuitive usability while retaining comprehensive analytical depth.
Features:
-Customizable Bollinger Bands and Keltner Channels: These core components of the TTM Squeeze.
-Dynamic Squeeze Conditions: Ranging from No Squeeze to High Compression.
-Momentum Oscillator: A linear regression-based momentum calculation, offering clear insights into market trends.
-User-Defined Color Schemes: Personalize your experience with adjustable colors for bands and plot shapes.
-Advanced Alert System: Alerts for key market shifts like Bull Watch Out, Bear Watch Out, and Momentum shifts.
-Adaptive Band Widths: Modify the band widths to suit your preference.
How to use it?
• Transition from Light Green to Dark Green: Indicates a potential end to the bullish momentum. This 'Bull Watch Out' signal suggests that traders should be cautious about continuing bullish trends.
• Transition from Light Red to Dark Red: Signals that the bearish momentum might be fading, triggering a 'Bear Watch Out' alert. It's a hint for traders to be wary of ongoing bearish trends.
• Shift from Dark Green to Light Green: This change suggests an increase in bullish momentum. It's an indicator for traders to consider bullish positions.
• Change from Dark Red to Light Red: Implies that bearish momentum is picking up. Traders might want to explore bearish strategies under this condition.
• Rapid Change from Light Red to Light Green: This swift shift indicates a quick transition from bearish to bullish sentiment. It's a strong signal for traders to consider switching to bullish positions.
• Quick Shift from Light Green to Light Red: Demonstrates a speedy change from bullish to bearish momentum. It suggests that traders might want to adjust their strategies to align with the emerging bearish trend.
Acknowledgements:
Special thanks to Beardy_Fred for the significant contributions to the development of this script. This work stands as a testament to the collaborative spirit of the trading community, continuously evolving to meet the demands of diverse trading strategies.
Disclaimer:
This script is provided for educational and informational purposes only. Users should conduct their own due diligence before making any trading decisions.
Matrix Momentum Expansion [IkkeOmar]The indicator consists of several features:
Candlestick chart: The indicator plots a candlestick chart based on the input parameters of the user. The candlesticks are colored blue or orange depending on whether the closing price is above or below the upper and lower bands.
Support and Resistance levels: The indicator also plots support and resistance levels based on the CCI (Commodity Channel Index) of the asset's price. These levels are dynamic and change based on the user's input parameters.
Momentum: The indicator calculates the momentum of the market based on the smoothed and standard deviation of the asset's price. It uses this momentum to calculate upper and lower bands that are plotted on the chart.
Warning signals: The indicator can also be used to identify potential warning signals. When the closing price of the asset moves above the upper band, it could indicate that the market is overbought and a potential reversal could occur. Conversely, when the closing price moves below the lower band, it could indicate that the market is oversold and a potential reversal could occur.
Contractions and expansions in the bands can provide important information to traders about potential price movements.
When the bands contract, it indicates that the market is experiencing low volatility and the price is likely to move sideways. During these periods, traders may look for other signals, such as support and resistance levels or price patterns, to determine potential entry and exit points.
On the other hand, when the bands expand, it indicates that the market is experiencing high volatility and the price is likely to move in a particular direction. Traders can use this information to identify potential trend reversals or continuation patterns. When the upper and lower bands move further apart, it indicates that the trend is becoming stronger, while when they move closer together, it indicates that the trend may be weakening.
When the price moves outside of the bands, it can also provide important information to traders. If the price moves above the upper band, it could indicate that the market is overbought and a potential reversal could occur. Conversely, if the price moves below the lower band, it could indicate that the market is oversold and a potential reversal could occur.
Very important note!
When you see contractions, please understand that it's a wonderful opportunity to pivot into position to catch a good trade because we will see an expansion after!
Trend and Momentum DashboardI created this indicator to tell me when it's time to trade (going long) and when it's time to wait (or going short).
You can enter up to 13 ticker (default is S&P500 and key market segments).
For each ticker, fibonacci levels are calculated and represented either in 5 color or 3 color mode as single lines.
(Thanks to eykpunter for the fibonacci level implementation. I'm using his code and modified it slightly).
Color coding (5 color mode) explanation:
blue = in uptrend area
light blue = in prudent buyers area
gray = in center area
light red = in prudent sellers area
red = in downtrend area
The topline is a combination of all ticker and shows if the market is either bullish or bearish (threshold adjustable in settings)
The bullish/bearish trend can also be used as background color. Alternatively the last bar in the selected time period is been highlighted.
How to use it:
The indicator works on all timeframes. Use the color coding explanation above to see the status of each asset.
a) You can evaluate "long" term trend using day or week timeframe. e.g. I'm usually trading only long and stay out of the market when it is not bullish (top line & background = blue). I'm also using it to know which segments/assets are currently "hot".
b) You can evaluate short term momentum (using 1h or lower timeframe) and see in which direction the market/assets are moving. e.g. I use this when the exchanges open to see how the day is going to move.
I've attached 3 examples in the screenshot - first is the default, in the second one I'm using different asset classes and the third one is for crypto.
Limitations:
There are security request limits as well as string limitations for the security calls in pine script, so I went to the maximum what is currently possible.
(No financial advise, for testing purposes only)
WaveRider Momentum OscillatorWaveRider Momentum Oscillator
The WaveRider Momentum Oscillator applies principles inspired by fluid dynamics to model price momentum as a flowing system, rather than relying on traditional static calculations. By interpreting market movement through the lens of velocity, viscosity, and turbulence—core concepts in fluid mechanics—this indicator offers a more adaptive and nuanced view of momentum that adjusts dynamically to changing market conditions.
Conceptual Foundation
Velocity: Just as fluid velocity measures the speed of flow at a point, WaveRider calculates momentum velocity by measuring the rate of price change over a specified period, smoothed to reduce noise.
Viscosity: In fluid dynamics, viscosity represents internal friction that resists flow. Here, viscosity is modeled based on volatility, modulating momentum signals to account for the “thickness” or noise level of the market. High volatility increases viscosity’s damping effect, reducing false signals during turbulent price action.
Turbulence: Turbulence characterizes sudden, chaotic changes in fluid flow. WaveRider detects rapid acceleration bursts in momentum analogous to turbulence, highlighting moments when momentum is shifting sharply and potentially signaling strong upcoming price moves.
Technical Features and Interpretation
Adaptive Momentum Calculation: Momentum is scaled by volatility-adjusted viscosity, making the oscillator less prone to whipsaws and more responsive during stable trends.
Turbulence Burst Detection: The oscillator incorporates a turbulence factor, identifying abrupt momentum accelerations that traditional oscillators often miss. This feature provides early warning signals of potential breakout or reversal points.
HSV Gradient Color Mapping: The oscillator visualizes acceleration using a continuous hue gradient—ranging from red (deceleration) through yellow (neutral) to green (acceleration). This continuous color transition provides intuitive, real-time insight into momentum dynamics beyond mere numeric values.
Pivot Point Identification: WaveRider automatically marks momentum pivots, signaling local maxima and minima in momentum flow. These points serve as critical confirmation markers for potential entry and exit decisions.
How to Interpret WaveRider
Colors:
Green hues indicate positive acceleration — momentum is increasing, favoring bullish positions.
Yellow hues represent neutral momentum — the market is consolidating or pausing.
Red hues signal negative acceleration — momentum is weakening, suggesting caution or bearish bias.
Oscillator Direction:
An upward sloping oscillator line reflects strengthening momentum.
A downward slope indicates weakening momentum or a potential reversal.
Pivot Labels:
▲ (Pivot Low): Denotes local momentum troughs; potential points to consider initiating long positions.
▼ (Pivot High): Marks local momentum peaks; useful for identifying possible short entries or profit-taking zones.
Summary
By grounding momentum analysis in fluid dynamics, WaveRider transcends the limitations of traditional oscillators. It accounts for the market’s inherent volatility and captures real-time acceleration changes, enabling traders to detect meaningful momentum shifts with greater accuracy and clarity.
WaveRider is designed for traders seeking a scientifically informed tool that adapts fluidly with market conditions—offering deeper insight into momentum flow and better timing for entries and exits.
Uptrick: Momentum Channel Indicator
### 🌟 **Uptrick: Momentum Channel Indicator (MC_Ind)** 🌟
The **"Uptrick: Momentum Channel Indicator"** is a powerful tool designed to help traders gauge market momentum and identify potential overbought or oversold conditions. Whether you're a day trader, swing trader, or long-term investor, this indicator can be your compass 🧭 in the complex world of trading.
### 🎯 **Purpose of the Indicator**
The primary goal of the **Momentum Channel Indicator** is to measure the deviation of price from its moving average (the mid-point) and to smooth this deviation to identify momentum shifts. By plotting overbought and oversold levels, the indicator helps traders spot potential reversal points where the market might change direction, offering valuable entry or exit signals.
### 🔧 **Inputs & Parameters**
Let's break down the input parameters that you can adjust to tailor the indicator to your trading style:
1. **`length1` (Channel Length) 📏**: This is the period over which the moving average (mid-point) and price deviation are calculated. The default value is 14, meaning the last 14 bars are considered for calculations.
2. **`length2` (Smoothing Length) 🧘**: This parameter controls the smoothing of the channel index, with a default value of 28. The higher the value, the smoother the momentum line, reducing noise and making trends more visible.
3. **`overbought1` & `overbought2` (Overbought Levels) 🔴**: These levels, set at 70 and 65 by default, represent the threshold above which the market is considered overbought, potentially signaling a selling opportunity.
4. **`oversold1` & `oversold2` (Oversold Levels) 🟢**: Similarly, these levels, set at -70 and -65, mark the threshold below which the market is considered oversold, indicating a potential buying opportunity.
### 🛠️ **How the Indicator Works**
Now, let's dive into the mechanics of the Momentum Channel Indicator:
1. **Mid-Point Calculation 🏁**: The mid-point is calculated using a simple moving average (SMA) of the closing prices over the `length1` period. This mid-point acts as a reference line from which deviations are measured.
2. **Price Deviation 📊**: The price deviation is the absolute difference between the closing price and the mid-point, smoothed over the same period (`length1`). This represents the typical price movement away from the mid-point.
3. **Channel Index 📉**: The channel index is calculated by dividing the price deviation by a fraction (0.01) of the mid-point, providing a normalized measure of how far the price has deviated from the average.
4. **Smoothing of the Channel Index 🌊**: The smoothed index (`mci1`) is calculated by applying a smoothing filter (SMA) over the channel index using the `length2` parameter. This helps reduce noise and highlight the true momentum of the market.
5. **Momentum Lines 📈**:
- **`mci1`**: The main momentum line, representing the smoothed channel index.
- **`mci2`**: A secondary momentum line, which is a further smoothed version of `mci1` using a 6-period SMA.
6. **Signal Lines 🚦**:
- **Overbought & Oversold Levels**: Horizontal lines plotted at `overbought1`, `overbought2`, `oversold1`, and `oversold2` levels serve as visual cues for overbought and oversold conditions.
- **Zero Line**: A central reference line at 0, indicating neutral momentum.
### 📈 **How to Use the Indicator**
#### 1. **Day Traders ⚡**
For day traders, the Momentum Channel Indicator can be a quick signal generator for short-term trades. Here's how you can use it:
- **Identify Entry Points 🎯**: Look for a **bullish crossover** when `mci1` crosses above `mci2` from below the `oversold1` level. This signals a potential upward reversal.
- **Spot Exit Points 🏁**: Watch for a **bearish crossunder** when `mci1` crosses below `mci2` from above the `overbought1` level. This could indicate a downward reversal.
- **Scalping 🔄**: In a fast-moving market, use the indicator to scalp by entering and exiting trades at these crossover points, with a tight stop-loss strategy.
#### 2. **Swing Traders 🎢**
Swing traders benefit from using the Momentum Channel Indicator to identify potential reversal points over a longer period:
- **Trend Confirmation 📊**: Use the smoothing effect of `mci2` to confirm trends. If `mci2` remains consistently above 0, it indicates a strong bullish trend, and vice versa.
- **Overbought/Oversold Reversals 🚀**: Enter trades when the price approaches the overbought or oversold levels (`overbought1`, `oversold1`). Combine this with other indicators, such as RSI, for more reliable signals.
- **Hold Positions 🧗**: Let the momentum lines guide your hold strategy. If the momentum lines stay aligned (both `mci1` and `mci2` are moving in the same direction), consider holding the position until a crossover or reversal signal appears.
#### 3. **Long-Term Investors 🏦**
For long-term investors, the Momentum Channel Indicator helps in fine-tuning entry and exit points based on broader market momentum:
- **Divergence Analysis 📐**: Look for divergence between the price and the momentum lines. If the price makes new highs but the momentum lines do not, it could signal a weakening trend and a potential reversal.
- **Strategic Entry/Exit 🏹**: Use the `overbought2` and `oversold2` levels to strategically enter or exit positions. These secondary levels provide an early warning before the market reaches extreme conditions.
- **Risk Management 🛡️**: The indicator can also be used as part of a risk management strategy by identifying when to reduce exposure in overbought markets or increase exposure in oversold markets.
### 🖼️ **Visualization & Interpretation**
The Momentum Channel Indicator is visually intuitive, with each component providing key insights:
1. **Momentum Lines (MCI1 & MCI2) 📈**:
- **Blue Line (`mci1`)**: Represents the main momentum line, providing immediate insights into market direction.
- **Orange Line (`mci2`)**: A secondary momentum line, further smoothed to confirm trends.
2. **Overbought/Oversold Levels 🔴🟢**:
- **Solid & Dashed Lines**: These lines highlight overbought and oversold regions, guiding traders on when to consider entering or exiting trades.
3. **MCI Difference (Purple Area) 🌌**:
- **Shaded Area**: The difference between `mci1` and `mci2`, shaded in purple, helps visualize the strength of the momentum. The larger the shaded area, the stronger the momentum.
### 🚀 **Advanced Tips & Tricks**
For those looking to maximize the potential of the Momentum Channel Indicator, here are some advanced strategies:
1. **Combine with Volume Indicators 📊**: Use volume indicators like OBV (On-Balance Volume) or Volume Oscillator to confirm momentum signals. For instance, a bullish crossover combined with increasing volume can reinforce a buy signal.
2. **Multiple Timeframe Analysis 🕒**: Apply the Momentum Channel Indicator across multiple timeframes (e.g., daily and weekly) to get a more comprehensive view of the market. This can help in aligning short-term trades with long-term trends.
3. **Adjusting Parameters 🔄**: Depending on market conditions, tweak the `length1` and `length2` parameters. In a highly volatile market, shorter lengths might provide quicker signals, whereas in a stable market, longer lengths could smooth out noise.
4. **Divergence & Convergence 📐**: Watch for divergence between price and momentum lines as a leading indicator of potential reversals. Convergence (when the price and momentum move in sync) can confirm the strength of the trend.
### **Conclusion**
The **Uptrick: Momentum Channel Indicator** is a versatile tool that can be customized for various trading styles and market conditions. Whether you're trading in fast-paced environments or analyzing long-term trends, this indicator offers a clear and intuitive way to gauge market momentum, identify potential reversals, and make informed trading decisions.
By understanding and applying the principles outlined above, you can harness the full power of this indicator, transforming your trading strategy from good to great! 🌟
Machine Learning Momentum Index (MLMI) [Zeiierman]█ Overview
The Machine Learning Momentum Index (MLMI) represents the next step in oscillator trading. By blending traditional momentum analysis with machine learning, MLMI delivers a potent and dynamic tool that aligns with the complexities of modern financial landscapes. Offering traders an adaptive way to understand and act on market momentum and trends, this oscillator provides real-time insights into market momentum and prevailing trends.
█ How It Works:
Momentum Analysis: MLMI employs a dual-layer analysis, utilizing quick and slow weighted moving averages (WMA) of the Relative Strength Index (RSI) to gauge the market's momentum and direction.
Machine Learning Integration: Through the k-Nearest Neighbors (k-NN) algorithm, MLMI intelligently examines historical data to make more accurate momentum predictions, adapting to the intricate patterns of the market.
MLMI's precise calculation involves:
Weighted Moving Averages: Calculations of quick (5-period) and slow (20-period) WMAs of the RSI to track short-term and long-term momentum.
k-Nearest Neighbors Algorithm: Distances between current parameters and previous data are measured, and the nearest neighbors are used for predictive modeling.
Trend Analysis: Recognition of prevailing trends through the relationship between quick and slow-moving averages.
█ How to use
The Machine Learning Momentum Index (MLMI) can be utilized in much the same way as traditional trend and momentum oscillators, providing key insights into market direction and strength. What sets MLMI apart is its integration of artificial intelligence, allowing it to adapt dynamically to market changes and offer a more nuanced and responsive analysis.
Identifying Trend Direction and Strength: The MLMI serves as a tool to recognize market trends, signaling whether the momentum is upward or downward. It also provides insights into the intensity of the momentum, helping traders understand both the direction and strength of prevailing market trends.
Identifying Consolidation Areas: When the MLMI Prediction line and the WMA of the MLMI Prediction line become flat/oscillate around the mid-level, it's a strong sign that the market is in a consolidation phase. This insight from the MLMI allows traders to recognize periods of market indecision.
Recognizing Overbought or Oversold Conditions: By identifying levels where the market may be overbought or oversold, MLMI offers insights into potential price corrections or reversals.
█ Settings
Prediction Data (k)
This parameter controls the number of neighbors to consider while making a prediction using the k-Nearest Neighbors (k-NN) algorithm. By modifying the value of k, you can change how sensitive the prediction is to local fluctuations in the data.
A smaller value of k will make the prediction more sensitive to local variations and can lead to a more erratic prediction line.
A larger value of k will consider more neighbors, thus making the prediction more stable but potentially less responsive to sudden changes.
Trend length
This parameter controls the length of the trend used in computing the momentum. This length refers to the number of periods over which the momentum is calculated, affecting how quickly the indicator reacts to changes in the underlying price movements.
A shorter trend length (smaller momentumWindow) will make the indicator more responsive to short-term price changes, potentially generating more signals but at the risk of more false alarms.
A longer trend length (larger momentumWindow) will make the indicator smoother and less responsive to short-term noise, but it may lag in reacting to significant price changes.
Please note that the Machine Learning Momentum Index (MLMI) might not be effective on higher timeframes, such as daily or above. This limitation arises because there may not be enough data at these timeframes to provide accurate momentum and trend analysis. To overcome this challenge and make the most of what MLMI has to offer, it's recommended to use the indicator on lower timeframes.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Filtered Momentum Indicator (FMI)The Filtered Momentum Indicator (FMI) is a tool created to assist traders in identifying changes in momentum and gaining insights into potential shifts in price trends. By combining the concepts of momentum and Bollinger Bands, the FMI offers a unique perspective on momentum values and their relationship to price movements, helping traders make informed trading decisions. The FMI is calculated using two main components:
-- Momentum Calculation : Momentum measures the strength and velocity of price changes. It is calculated by comparing the current price to the price 14 (default) periods ago and expressing it as a percentage.
-- Bollinger Bands Calculation : Bollinger Bands are based on the momentum values and provide a range within which the momentum is expected to fluctuate. The upper and lower bands are determined using a specified period (default of 20) and deviations (default of 2.0).
The FMI consists of two lines : F+ (Filtered Plus) and F- (Filtered Minus). These lines help gauge the strength of bullish and bearish momentum:
-- F+ represents the difference between the upper Bollinger Band and the momentum values. It indicates the strength of bullish momentum. F+ is colored aqua.
-- F- represents the difference between the momentum values and the lower Bollinger Band. It indicates the strength of bearish momentum. F- is colored yellow.
When analyzing the FMI, pay attention to the relationship between F+ and F-:
-- If F- is greater than F+ , it suggests potential bullish momentum, indicating that prices may have room to rise.
-- If F+ is greater than F- , it suggests potential bearish momentum, indicating that prices may have room to decline.
Coloration of the FMI enhances its interpretability - when F- is greater than F+, the indicator color is set to lime (green), signaling potential bullish momentum; when F+ is greater than F-, the indicator color is set to fuchsia (purple), signaling potential bearish momentum.
The FMI can be applied in various ways for trading strategies:
-- Identifying Potential Reversals : Watch for crossovers between the F- and F+ lines, as they may indicate a potential shift in momentum and offer opportunities to enter or exit trades.
-- Confirmation Tool : Combine the FMI with other technical indicators or price patterns to validate potential trend reversals or continuations. By aligning signals from different indicators, you can strengthen your trading decisions.
-- Trade Timing : Consider taking trades in the direction of the dominant FMI color. When the indicator shows strong bullish momentum (F- > F+), consider going long. Conversely, when it shows strong bearish momentum (F+ > F-), consider going short.
It is essential to be aware of the limitations of the FMI:
-- False Signals : The FMI, like any indicator, may generate false signals, especially during low volatility or choppy market conditions. Always use the FMI in conjunction with other analysis techniques for confirmation.
-- Lagging Nature : The FMI relies on historical price data, causing it to lag behind sudden market moves. Keep in mind that the FMI provides insights based on past momentum and may not capture immediate changes in market conditions.
By combining momentum and Bollinger Bands, this indicator provides a unique perspective for making informed trading decisions. Utilize the FMI in conjunction with other analysis techniques, considering its limitations, to enhance your trading strategy and improve decision-making.
TRIX with Momentum----------- ENGLISH --------------
This indicator is called "TRIX with Momentum" and is used to analyze the momentum of an asset's price and predict potential trend reversals. The logic of operation is based on the combination of two indicators: the Triple Exponential Moving Average (TRIX) and the momentum oscillator.
The TRIX is calculated using three exponential moving averages (EMA) of the asset's closing price, with a user-defined length (set to 14 by default). The TRIX is then normalized and centered around 0 to facilitate analysis of its relationship with the momentum oscillator.
The momentum oscillator is calculated using the EMA of the normalized TRIX with a user-defined length (set to 14 by default).
The indicator plots the normalized TRIX and the momentum oscillator on a chart, using different colors to indicate whether the TRIX is above or below 0. Additionally, the color of the y-axis label changes based on the position of the oscillator, while the color of the x-axis label remains gray.
The indicator uses a weighted average between the normalized TRIX and the momentum oscillator to create a colored background of the chart, which changes based on the weighted average. If the weighted average is positive, the chart's background is green, otherwise it is red. Finally, a horizontal line is drawn at point 0 to facilitate visual analysis of the chart.
------------ ITALIANO -------------
Questo indicatore è chiamato "TRIX with Momentum" ed è utilizzato per analizzare il momentum del prezzo di un asset e prevedere eventuali inversioni di trend. La logica di funzionamento è basata sulla combinazione di due indicatori: il TRIX (Indicatori di media mobile Tripla Esponenziale) e l'oscillatore momentum.
L'indicatore consente all'utente di impostare la lunghezza del TRIX e dell'oscillatore momentum come input personalizzato. Il TRIX viene calcolato utilizzando tre medie mobili esponenziali (EMA) della chiusura dei prezzi dell'asset, mentre l'oscillatore momentum viene calcolato utilizzando l'EMA del TRIX normalizzato.
Il TRIX normalizzato viene centrato intorno allo 0 per facilitare l'analisi della sua relazione con l'oscillatore momentum. L'indicatore plotta il TRIX normalizzato e l'oscillatore momentum su un grafico, utilizzando diversi colori per indicare se il TRIX è sopra o sotto lo 0.
L'indicatore utilizza una media pesata tra il TRIX normalizzato e l'oscillatore momentum per creare uno sfondo colorato del grafico, che cambia in base alla media pesata. L'utente può impostare il peso da dare al TRIX e all'oscillatore momentum come input personalizzato, e il peso dell'oscillatore momentum verrà automaticamente impostato come complementare al peso del TRIX.
Se la media pesata è positiva, lo sfondo del grafico è verde, altrimenti è rosso. Viene tracciata anche una linea orizzontale al punto 0 per facilitare l'analisi visiva del grafico.
Infine, il colore dell'etichetta dell'asse y cambia in base alla posizione dell'oscillatore, mentre il colore dell'etichetta dell'asse x rimane sempre grigio.
Indicator: Intrady Momentum IndexThe Intraday Momentum Index (IMI), developed by Tushar Chande, is a cross-breed between RSI and candlestick analysis. IMI determines the candle type that dominated the recent price action, using that to pinpoint the extremes in intraday momentum.
As the market tries to bottom after a sell off, there are gradually more candles with green bodies, even though prices remain in a narrow range. IMI can be used to detect this shift, because its values will increase towards 70. Similarly, as the market begins to top, there will be more red candles, causing IMI to decline towards 20. When the market is in trading range, IMI values will be in the neutral range of 40 to 60.
Usually intraday momentum leads interday momentum. QStick can show interday momentum, it complements IMI. You will find it in my published indicators.
I have added volatility bands based OB/OS, in addition to static OB/OS levels. You can also turn on IMI Ehlers smoothing. BTW, all parameters are configurable, so do check out the options page.
List of my other indicators:
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- Google doc: docs.google.com
Squeeze Momentum DeluxeThe Squeeze Momentum Deluxe is a comprehensive trading toolkit built with features of momentum, volatility, and price action. This script offers a suite for both mean reversion and trend-following analysis. Developed based on the original TTM Squeeze implementation by @LazyBear, this indicator introduces several innovative components to enhance your trading insights.
🔲 Components and Features
Momentum Oscillator - as rooted in the TTM Squeeze, quantifies the relationship between price and its extremes over a defined period. By normalizing the calculation, the values become comparable throughout time and across securities, allowing for a nuanced assessment of Bullish and Bearish momentum. Furthermore, by presenting it as a ribbon with a signal line we gain additional information about the direction of price swings.
Squeeze Bars - The original squeeze concept is based on the relationship between the Bollinger Bands and Keltner Channel , once the BB resides inside the KC a squeeze occurs. By understanding their fundamentals a new form of calculation can be inferred.
method bb(float src, simple int len, simple float mult) => method kc(float src, simple int len, simple float mult) =>
float basis = ta.sma (src, len) float basis = ta.sma (src, len)
float dev = ta.stdev(src, len) float rng = ta.atr ( len)
float upper = basis + dev * mult float upper = basis + rng * mult
float lower = basis - dev * mult float lower = basis - rng * mult
Both BB and KC are constructed upon a moving average with the addition of Standard Deviation and Average True Range respectively. Therefore, the calculation can be transformed to when the Stdev is lower than the ATR a squeeze occurs.
method sqz(float src, simple int len) =>
float dev = ta.stdev(src, len)
float atr = ta.atr ( len)
dev < atr ? true : false
This indicator uses three different thresholds for the ATR to gain three levels of price "Squeeze" for further analysis.
Directional Flux- This component measures the overall direction of price volatility, offering insights into trend sentiment. Presented as waves in the background, it includes an OverFlux feature to signal extreme market bias in a particular direction which can signal either exhaustion or vital continuation. Additionally, the user can choose if to base the calculation on Heikin-Ashi Candles to bias the tool toward trend assessment.
Confluence Gauges - Placed at the top and bottom of the indicator, these gauges measure confluence in the relationship between the Momentum Oscillator and Directional Flux. They provide traders with an easily interpretable visual aid for detecting market sentiment. Reversal doritos displayed alongside them contribute to mean reversion analysis.
Divergences (Real-Time) - Equipped with a custom algorithm, the indicator detects real-time divergences between price and the oscillator. This dynamic feature enhances your ability to spot potential trend reversals as they occur.
🔲 Settings
Directional Flux Length - Adjusts the period of which the background volatility waves operate on.
Trend Bias - Bases the calculation of the Flux to HA candles to bias its behavior toward the trend of price action.
Squeeze Momentum Length - Calibrates the length of the main oscillator ribbon as well as the period for the squeeze algorithm.
Signal - Controls the width of the ribbon. Lower values result in faster responsiveness at the cost of premature positives.
Divergence Sensitivity - Adjusts a threshold to limit the amount of divergences detected based on strength. Higher values result in less detections, stronger structure.
🔲 Alerts
Sell Signal
Buy Signal
Bullish Momentum
Bearish Momentum
Bullish Flux
Bearish Flux
Bullish Swing
Bearish Swing
Strong Bull Gauge
Strong Bear Gauge
Weak Bull Gauge
Weak Bear Gauge
High Squeeze
Normal Squeeze
Low Squeeze
Bullish Divergence
Bearish Divergence
As well as the option to trigger 'any alert' call.
The Squeeze Momentum Deluxe is a comprehensive tool that goes beyond traditional momentum indicators, offering a rich set of features to elevate your trading strategy. I recommend using toolkit alongside other indicators to have a wide variety of confluence to therefore gain higher probabilistic and better informed decisions.
Histogram Momentum Shaded CandlesDescription:
The Histogram Momentum Shaded Candles indicator (HMSC) is a powerful technical analysis tool that combines the concepts of the MACD (Moving Average Convergence Divergence) indicator and shaded candlestick visualization. It provides insights into momentum and trend strength by representing the MACD histogram as shaded candles on the chart.
How it Works:
The HMSC indicator calculates the MACD (Moving Average Convergence Divergence) using user-defined parameters such as the fast length, slow length, source, signal smoothing, and moving average types. It then calculates the MACD histogram by subtracting the signal line from the MACD line. The indicator transforms the histogram values into transparency levels for the shaded candles, representing bullish and bearish momentum.
Usage:
To effectively utilize the Histogram Momentum Shaded Candles indicator, follow these steps:
1. Apply the HMSC indicator to your chart by adding it from the available indicators.
2. Customize the MACD settings such as the fast length, slow length, source, signal smoothing, and moving average types according to your trading preferences.
3. Observe the shaded candles plotted on the chart:
- Bullish shaded candles (green by default) indicate positive momentum and potential buying pressure.
- Bearish shaded candles (red by default) indicate negative momentum and potential selling pressure.
4. Assess the intensity of the shaded candles:
5. Shading intensity is determined by the magnitude of the MACD histogram, with higher values resulting in more opaque candles.
6. The shading intensity reflects the strength of momentum and can help identify significant shifts in price action.
7. Combine the analysis of shaded candles with traditional candlestick patterns, trend lines, support and resistance levels, and other technical indicators to validate potential trade setups.
8. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
Trend & Momentum V2Declutter your charts. Simple indicator combining trend and momentum using Moving Average (currently default to 9-day EMA) and RSI (default length of 8). A long signal is generated when the price closes above the moving average and the moving average color turns red to green which indicated that the momentum measured using RSI is greater than 50. A short signal is generated when the price closes below the moving average and the moving average color turns green to red indicating RSI is below 50. Confirmation is done if there is no reversal on the next candle. For best results use multiple timeframe charts to trade on the right side of trend and momentum.
Cycle Swing MomentumAdaptive Ultra-Smooth Momentum indicator
The Cycle-Swing-Indicator "CSI" provides an optimized "momentum" oscillator based on the current dominant cycle by looking at the swing of the dominant cycle instead of the raw source momentum. Offering the following improvements:
Smoothness
Zero delay
Sharpness at turning points
Robust and adaptable to market conditions
Accurate deviation detection
The following common problems with standard indicators are solved by this indicator:
First, normal indicators introduce a lot of false signals due to their noisy signal line. Second, to compensate for the noise, one would normally try to add some smoothing. But this only results in adding more delay to the indicator, which makes it almost useless. Third, standard indicators require a length adjustment to derive reliable signals. However, you never know how to set the right length.
All three problems described above are solved by the developed adaptive cyclic algorithm.
The above chart shows current Bitcoin 4h data from the last days as of writing with the proposed signal reading for this indicator. The standard momentum indicator is included for comparison.
HOW TO USE
The indicator works without any parameter and can be applied to any chart and any time-frame. It will adapt automatically to the Dominant Cycle and use the dominant cycle of the source data to derive the ultra smooth momentum curve. Adaptive upper/lower bands are included and highlight areas with extreme readings. Automatic divergence detection can be turned off/on.
HOW TO READ
The indicator can be used like any oscillator. In addition, it provides adaptive high and low bands.
* Look for turns above the upper/lower bands
* Look for divergences between source and signals line
Further reading/Original source:
The indicator uses the dominant cycle to optimize signal, smoothing and cyclic memory. To get more in-depth information on the Cycle Swing Indicator, please read Chapter 10 "Cycle Swing Indicator: Trading the swing of the dominant cycle" of the book "Decoding the Hidden Market Rhythm, Part 1" available at your favorite book store.
Related ideas:
Please also check the cyclic RSI indicator which also uses cyclic information to improve the signal.
FREE INDICATOR: VOLUME MOMENTUMFor the momentum trader there are plenty of price momentum indicators, here's one that tracks the volume's momentum. Rising momentum in both price and volume is great for any momentum trader.
Add this to your chart, play with the settings, and maybe you'll notice something new!
Grab the source code here: pastebin.com
Installation video by @ChrisMoody here : vimeopro.com
·´¯`·.¸¸.·´¯`· Feel free to follow me to keep up with my latest scripts! ·´¯`·.¸¸.·´¯`·
·´¯`·.¸¸.·´¯`· PLEASE THUMB UP OR STAR IF YOU LIKE THIS INDICATOR! ·´¯`·.¸¸.·´¯`·
I'd like as many people as possible to get it :)
Gap-Up Momentum Screener (S.S)
ENGLISH-VERSION
1) TradingView Gap Screener (for US stocks)
➤ Conditions
Gap-Up ≥ +3% (large gaps indicate institutional pressure)
Pre-market volume ≥ 150% of the 20-day average
RS line > 50
Price > 50 SMA
Market cap ≥ 1 billion USD
No penny stocks
2) Minervini Gap-Entry Strategy (Swing Trading)
This is a variant specifically optimized for gaps + momentum.
A) Setup Criteria
The stock must meet the following conditions:
Gap-Up ≥ +3%
First retracement ≤ 30% of the gap
High relative strength (RS line rising)
Volume on the gap day > 2× average
Price above 20 EMA, 50 SMA, 150 SMA, 200 SMA
No immediate resistance within 2–5%
B) Entry Setups
Entry 1: First Pullback Entry (FPE)
Wait for the first 1–3 day consolidation.
Entry → Breakout of the small range.
Stop → Below the low of the pullback.
Rule: No entry on the gap day itself.
Entry 2: High Tight Flag above the Gap
Stock rises > 10% after the gap
Then forms a 3–8 day sideways phase
Entry → Break above the flag’s high
Stop → Below the flag base
Entry 3: ORB Entry (Opening Range Breakout, 30 minutes)
Very effective for strong gaps.
Wait 30 minutes after the market opens
Entry → Break above the high of these first 30 minutes
Stop → Below the 30-minute low
C) Stop Levels
For FPE: 4–8%
For ORB: 1–2 × ATR(14)
For flags: 3–5%
D) Add Rules
Only if the stock continues showing strong volume:
Add on every new 3–5 day high
Add only above half-range levels
Maximum 3 adds
3) Early-Warning Module (Setup forming but not ready for entry)
This module marks stocks that are forming a setup but are not yet buyable.
➤ Criteria
Gap-Up ≥ 3%
Strong volume
Stock pulls back and consolidates (1–5 bars)
BUT no breakout yet
4) Exact Entry Checklist (Minervini-style, optimized for gaps)
Checklist before entry:
Gap ≥ +3%
20 EMA rising
Volume > 2× average
RS line rising
Price > 50 SMA
Pullback not deeper than 30% of the gap
3+ green signals from the Early-Warning diamonds
If all 7 are fulfilled → green light.
5) How to apply the strategy in daily practice
Morning (08:00–09:00)
Check the screener
Build your watchlist
Identify gaps
US Market Open (15:30)
Monitor the Early-Warning module
Sort gap momentum opportunities
16:00–17:00
Enter: First Pullback / ORB / Flag
Set stops
Determine position size based on risk
After 20:00
Check volume strength
If momentum fades → no more adds
Anit Momentum IndicatorAnit Momentum Indicator: A Powerful Trend Continuation Tool for Long-Only Strategies
The "Anit Momentum Indicator" (AMI) is a powerful technical analysis tool designed to assist traders in identifying potential trend continuation opportunities in the financial markets. Unlike traditional trend reversal indicators, AMI is specifically crafted for long-only strategies, making it an ideal tool for traders seeking to capture sustained uptrends.
Concepts and Functionality:
1. Momentum Calculation:
The Anit Momentum Indicator begins by calculating the momentum of the closing price over a specified period. Momentum represents the rate of price change, offering clues about the strength and direction of price movements during the chosen duration.
2. RSI for Trend Continuation:
The script then applies the RSI to the previously computed momentum values. The RSI is a well-known oscillator used to measure the speed and magnitude of price changes. By utilizing the RSI on momentum data, the Anit Momentum Indicator gains a distinct advantage in gauging the strength of price momentum, leading to more accurate trend evaluations.
3. Rescaling for Better Visualization:
To enhance visual clarity and maintain consistent representation, the RSI on Momentum is rescaled to range from 0 to 100. This normalization ensures that the indicator's values remain within a fixed range, making it easier for traders to identify crucial overbought and oversold regions.
How to Use the Indicator:
Long-Only Strategy:
The AMI is most effective in long-only strategies. Traders can deploy the indicator to identify promising opportunities to go long on a stock or asset. A long position is established when the AMI crosses above 50, signaling a robust upward momentum.
Trend Continuation Confirmation:
The AMI's ability to capture trend continuation opportunities allows traders to stay invested in an uptrend for an extended period. As long as the AMI remains above 50, the uptrend is considered intact, and traders may continue to hold the position.
Higher Timeframe Advantage:
The AMI's effectiveness is further enhanced on higher timeframes. Longer timeframes provide a more reliable and sustained view of the underlying trend, giving traders greater confidence in their long-only strategies.
Conclusion:
The Anit Momentum Indicator is a valuable tool for traders pursuing trend continuation strategies, specifically long-only approaches. By leveraging the concept of momentum and RSI, the AMI helps traders identify and participate in sustained uptrends. With its focus on trend continuation rather than reversals, the AMI can be a key component in building successful long-only trading strategies, especially on higher timeframes. Traders can use this indicator to stay invested in robust uptrends, maximizing their profit potential while minimizing exposure to counter-trend moves by staying long till AMI value is greater than 50,it is better to stay away or exit from the asst class when AMI value is less than 50.
Big Poppa Code Strat & Momentum Strategy IndicatorThis indicator is a combination of a few things in order to work with a unique trading style gleaned from Callme100k, jrgreatness, TrustMyLevels , FaithInTheStrat, Rob Smith and Saty Mahajan.
This Indicator is created to help you day trade using, ATR Fibonacci Levels, Price Action and Momentum.
It displays Fibonacci Levels Based on ATR to indicate when a security is 0.236, 0.382 +- the Days Open, +- the Days Open, 0.618 +- the Days Open and 1.0 +- Days Open.
To understand this script you need to understand
Average True Range (ATR)
1 Bar Inside Bar
2 Bar Outside Bar (Break either the top or bottom)
3 Bar Engulfing Bar
Strat Setups - 212, 322, 312
Fibonacci - 0.236, 0.382, 0.618, 1.0
Moving Averages
A Trend is considered bullish when (green)
Current Price is greater than the Fast EMA Value (8)
Fast EMA is greater than PIVOT EMA Value (21)
Pivot EMA is greater than SLOW EMA Value (34)
OR Hull is trending up and the Price is above the Volume Weighted Moving Average and price is above VWAP
A trend is considered Bearish when (red)
Current Price is less than the Fast EMA Value (8)
Fast EMA is less than PIVOT EMA Value (21)
Pivot EMA is less than SLOW EMA Value (34)
OR Hull is trending down and the Price is below the Volume Weighted Moving Average and price is below VWAP
If these conditions are not met then the Momentum is in Conflict (orange)
The Momentum band will match the color of the current trend
The table that is present can be turned off at any time lets you see
1) If Moving Averages are showing bullish, bearish or in conflict
2) If There us Time Frame Continuity, (if 5 min up, are all the other timeframes up also)
3) How much of the ATR have we moved on the day
4) Are we in Call or Put range for the day based on ATR Fib Levels
The Ideal situation for entering a call
1) Momentum is Green
2) FTFC on Green
3) A Strat Actionable Signal is present
4) You are in the call range, 0.236 - 0.618 ATR + the Price
5) The ATR still has room, I.e only 50% of the ATR has been run already
Ideal situation from entering a put
1) Momentum is red
2) FTFC on Red
3) A Strat Actionable Signal is present
4) You are in the put range, 0.236 - 0.618 ATR - the Price
5) The ATR still has room, I.e only 50% of the ATR has been run already
Exit the trade for these reasons you entered (for profit or loss)
1) ATR has no more room
2) FTFC is now in conflict
3) Momentum has shifted
Take Profit when
1) You reach a new ATR Level 0.618, 1.0 , -0.618, -1, etc
Passive Stop Loss
1) Open Price if you are aggressive
2) Next ATR Level Down or Up
Feel free to take profit and leave runners
This script does not give signals, you should do your own research, I am not a financial advisors, I am simply applying principles of seasoned veterans to code. You make all decisions about how you buy, sell and trade. The creator of this script makes no promises and takes no responsibility for your personal trading.
To research the methods described above look up
Rob Smith : The Strat
Saty Mahajan : ATR Levels
Fibonacci
Using the HULL Moving Average
Exponential Moving Averages
VWAP
VWMA
Momentum Divergence Oscillator by JJMomentum Divergence Oscillator by JJ
A powerful, all-in-one momentum tool designed to streamline trade confluence, combining multi-timeframe trend analysis with automatic divergence spotting and classic MACD signals.
How to Use This Indicator
This oscillator is designed to be used in the lower pane of your chart, beneath your primary price chart. It provides three main types of signals:
1. Multi-Timeframe (MTF) Trend Confirmation
The background shading is your primary trend filter. It looks at the MACD trend on two higher timeframes (30m and 60m by default) to confirm the market's overarching direction.
Green Shading: Indicates that both higher timeframes are in a bullish trend (MACD above signal line). Focus on looking for BUY signals during this time.
Red Shading: Indicates that both higher timeframes are in a bearish trend. Focus on looking for SELL signals during this time.
Grey/No Shading: The higher timeframes are not in agreement or are consolidating. Exercise caution or stick to standard price action rules.
2. Automatic Divergence Signals
Divergence is a powerful early warning system where the indicator moves in the opposite direction of the price. The indicator automatically flags these occurrences:
"Bull RSI Div" (Green Label-Up): Bullish divergence identified using the RSI oscillator. This suggests a potential reversal to the upside after a downtrend.
"Bear RSI Div" (Red Label-Down): Bearish divergence identified using the RSI oscillator. This suggests a potential reversal to the downside after an uptrend.
Tip: These signals are often most reliable when they occur within the corresponding MTF background colour (e.g., a "Bull RSI Div" during a Green MTF background).
3. Momentum Shifts and Crossovers
The standard plots provide immediate insight into market momentum:
Blue/Orange Lines: The traditional MACD line (Blue) and Signal line (Orange).
Histogram (Green/Red Bars): Represents the momentum difference between the MACD and Signal lines.
Zero-Line Crosses (Triangles): Tiny triangles appear when the MACD line crosses the zero line, indicating a shift in long-term momentum.
Peaks & Troughs (X-Crosses): The 'X' markers identify local peaks and troughs in the histogram, sometimes indicating short-term exhaustion of the current move.
Disclaimer: Trading involves significant risk and is not suitable for every investor. This indicator is for educational purposes only and should not be considered financial advice. Always use appropriate risk management.
Momentum with ATR and Volatility [ST]Momentum with ATR and Volatility
Description in English:
This indicator combines price momentum with market volatility to identify entry and exit points in trades.
It utilizes the difference in closing prices (momentum) and the Average True Range (ATR) to measure volatility. Buy and sell signals are generated based on the combination of these two components.
Detailed Explanation:
Configuration:
Momentum Length: This input defines the period for calculating the momentum, which is the difference between the closing prices. The default value is 10.
ATR Length: This input defines the period for calculating the Average True Range (ATR), which measures market volatility. The default value is 14.
ATR Threshold: This input defines the threshold multiplier for the ATR to generate buy and sell signals. The default value is 3.5.
Momentum Calculation:
Momentum is calculated as the difference between the current closing price and the closing price momentum_length periods ago.
ATR Calculation:
The ATR is calculated based on the specified length and is used to measure market volatility.
Buy and Sell Signals:
Buy Signal: Generated when momentum is positive, the current close is higher than the previous close, and momentum is greater than ATR * threshold.
Sell Signal: Generated when momentum is negative, the current close is lower than the previous close, and momentum is less than -ATR * threshold.
Plotting:
Buy signals are plotted as green triangles below the bars.
Sell signals are plotted as red triangles above the bars.
Momentum and ATR thresholds are plotted in a separate panel below the main chart.
Momentum is plotted as a blue line.
The ATR threshold lines are plotted as solid orange lines.
Indicator Benefits:
Momentum Measurement: Helps traders gauge the momentum of price movements.
Volatility Measurement: Utilizes ATR to measure market volatility, providing a more comprehensive analysis.
Visual Cues: Provides clear visual signals for buy and sell points, aiding in making informed trading decisions.
Justification of Component Combination:
Combining momentum with ATR provides a more robust measure of potential entry and exit points by considering both price movement and market volatility.
How Components Work Together:
The script calculates momentum and ATR for the specified periods.
It generates buy and sell signals based on the conditions of momentum and ATR.
The signals and values are plotted on the chart to provide a visual representation, helping traders identify potential trading opportunities.
Título: Indicador de Momentum com ATR e Volatilidade
Descrição em Português:
Este indicador combina o momentum do preço com a volatilidade do mercado para identificar pontos de entrada e saída em operações.
Utiliza a diferença entre os preços de fechamento (momentum) e o Average True Range (ATR) para medir a volatilidade. Sinais de compra e venda são gerados com base na combinação desses dois componentes.
Explicação Detalhada:
Configuração:
Comprimento do Momentum: Este parâmetro define o período para calcular o momentum, que é a diferença entre os preços de fechamento. O valor padrão é 10.
Comprimento do ATR: Este parâmetro define o período para calcular o Average True Range (ATR), que mede a volatilidade do mercado. O valor padrão é 14.
Limite do ATR: Este parâmetro define o multiplicador de limite para o ATR para gerar sinais de compra e venda. O valor padrão é 3.5.
Cálculo do Momentum:
O momentum é calculado como a diferença entre o preço de fechamento atual e o preço de fechamento momentum_length períodos atrás.
Cálculo do ATR:
O ATR é calculado com base no comprimento especificado e é usado para medir a volatilidade do mercado.
Sinais de Compra e Venda:
Sinal de Compra: Gerado quando o momentum é positivo, o fechamento atual é maior que o fechamento anterior, e o momentum é maior que ATR * threshold.
Sinal de Venda: Gerado quando o momentum é negativo, o fechamento atual é menor que o fechamento anterior, e o momentum é menor que -ATR * threshold.
Plotagem:
Sinais de compra são plotados como triângulos verdes abaixo das barras.
Sinais de venda são plotados como triângulos vermelhos acima das barras.
O momentum e os limites do ATR são plotados em um painel separado abaixo do gráfico principal.
O momentum é plotado como uma linha azul.
As linhas de limite do ATR são plotadas como linhas laranjas sólidas.
Benefícios do Indicador:
Medição do Momentum: Ajuda os traders a avaliar o momentum dos movimentos de preços.
Medição da Volatilidade: Utiliza o ATR para medir a volatilidade do mercado, proporcionando uma análise mais abrangente.
Sinais Visuais: Fornece sinais visuais claros para pontos de compra e venda, auxiliando na tomada de decisões informadas.
Justificação da Combinação de Componentes:
Combinar o momentum com o ATR fornece uma medida mais robusta de potenciais pontos de entrada e saída ao considerar tanto o movimento dos preços quanto a volatilidade do mercado.
Como os Componentes Funcionam Juntos:
O script calcula o momentum e o ATR para os períodos especificados.
Gera sinais de compra e venda com base nas condições de momentum e ATR.
Os sinais e valores são plotados no gráfico para fornecer uma representação visual, ajudando os traders a identificar oportunidades de negociação potenciais.
Stockbee Momentum BurstThis is a script to color code bars based on the bullish- and bearish combination.
Bullish Combination
Percent: Price >= 4% from yesterday and Volume today > Yesterday
Dollar: Price >= 0.9 dollar from open
Base Requirements
- Price > Yesterday's close
- Price > Open
- Price is within 30% of high
- Todays price range >= Yesterdays price range
- Yesterday's move <= 2%
- Volume >= 100 000
Bearish Combination
Percent: Price <= 4% from yesterday and Volume today > Yesterday
Dollar: Price <= 0.9 dollar from open
Base Requirements
- Price < Yesterday's close
- Price < Open
- Price is within 30% of low
- Todays price range >= Yesterdays price range
- Yesterday's move >= -2%
- Minimum volume for each of last 3 days >= 100 000
Momentum Filter
These are based on the 10 and 20 EMA crossover, where the former above would indicate upward momentum and below downward momentum. This can help to narrow down the color code to continuation phases. The linked option will override all other momentum filters, bullish candles will be displayed when EMA 10 > 20 and bearish candles when EMA 10 < 20.
Anchored Momentum [LazyBear]Anchored Momentum (AMOM), by Rudy Stefenel, is a modified momentum indicator to capture the relative momentum. AMOM uses SMA as the reference for deriving momentum, thereby anchoring it to that MA rather than "value of close n bars back".
Mr.Stefenel suggests using this like other oscillators -- crossing signal line, crossing zero, divergences.
For alerts, use "Momentum", "Signal" and "ZeroLine" plots.
Configurable options:
- Momentum Period: Default is 10.
- Signal Period: Default is 8.
- Smooth Momentum: Default is FALSE. If TRUE, enables EMA(close) to be used rather than "close".
- Smoothing Period: Default is 7. If momentum smoothing is enabled, this period is used.
- Show Histogram: Default is FALSE. This is not histogram per se (indicator - signal), but is used for highlighting the crosses. Check out the histogram pane below to see an example.
- Enable Barcolors: Default is FALSE. If enabled, colors the price data (bars/candles) using histogram color.
More info:
Anchored Momentum, Stocks & Commodities V16:2 (89-98)
Complete list of all my indicators:
docs.google.com
Squeeze Go Momentum Pro [KingThies] █ OVERVIEW
The Squeeze Momentum Pro indicator identifies volatility compression phases and breakout opportunities by comparing Bollinger Bands to Keltner Channels. When price consolidates (squeeze), the bands contract inside the channels, signaling an imminent breakout. The momentum histogram shows directional bias, helping traders anticipate which way price will move when the squeeze releases.
This indicator displays in a separate panel below the price chart, providing clear visual signals without cluttering price action.
█ KEY FEATURES
Momentum Histogram
The histogram is the primary visual element, displaying momentum strength and direction with four distinct color states:
• Dark Green (#00C853) — Strong bullish momentum that is increasing. This signals strengthening upward pressure and potential continuation.
• Light Green (#26A69A) — Bullish momentum that is decreasing. Price remains in bullish territory but upward force is weakening.
• Dark Red (#D32F2F) — Strong bearish momentum that is increasing. This signals strengthening downward pressure and potential continuation.
• Light Red (#EF5350) — Bearish momentum that is decreasing. Price remains in bearish territory but downward force is weakening.
The color intensity provides immediate feedback on momentum strength and trend health.
Squeeze State Indicator
Colored dots on the zero line communicate the current volatility state:
• Orange Dots — Squeeze is ON. Bollinger Bands have contracted inside Keltner Channels, indicating consolidation and low volatility.
A breakout is building and traders should prepare for directional movement.
• Green Dots — Squeeze is OFF. Bollinger Bands have expanded outside Keltner Channels, indicating active momentum and higher volatility.
Price is moving with conviction in the current direction.
• Gray Dots — Neutral state. The bands are transitioning between squeeze states.
Release Triangles
Triangle shapes mark the exact bar when a squeeze releases, providing precise entry timing:
• Green Triangle Up — Bullish squeeze release. The squeeze has ended with positive momentum, suggesting a long setup opportunity.
• Red Triangle Down — Bearish squeeze release. The squeeze has ended with negative momentum, suggesting a short setup opportunity.
Information Panel
A compact dashboard in the top-right corner displays real-time trading intelligence:
• Squeeze Status — Current state: ON, OFF, or NEUTRAL with color coding
• Momentum Direction — Current bias: BULL or BEAR
• Momentum Value — Precise numerical reading of momentum strength
• Trading Signal — Actionable status: LONG SETUP, SHORT SETUP, WAIT, or MONITOR
Configurable Parameters
All calculation inputs are adjustable to match your trading style and timeframe:
• BB Length — Bollinger Bands period (default: 20)
• BB StdDev — Bollinger Bands standard deviation multiplier (default: 2.0)
• KC Length — Keltner Channels period (default: 20)
• KC ATR Multiplier — Keltner Channels range multiplier (default: 1.5)
• Momentum Length — Linear regression period for momentum calculation (default: 20)
Alert System
Four alert conditions notify you of critical trading opportunities:
• Bullish Squeeze Release — Squeeze has released with bullish momentum, indicating a potential long entry
• Bearish Squeeze Release — Squeeze has released with bearish momentum, indicating a potential short entry
• Squeeze Started — Volatility compression detected, prepare for upcoming breakout
• Squeeze Ended — Volatility expansion confirmed, breakout is active
█ TRADING METHODOLOGY
The indicator follows a clear four-step process for identifying and trading squeeze breakouts:
1 - Wait for Orange Dots . When orange dots appear on the zero line, a squeeze is building. This indicates price consolidation and declining volatility.
Do not enter trades during this phase. Instead, prepare by identifying key support and resistance levels and potential breakout directions.
2 - Watch for Release Triangle . When a triangle appears, the squeeze has released and a breakout is beginning. This is your entry signal.
The triangle color (green up or red down) combined with the histogram direction indicates the breakout direction.
3 - Confirm with Histogram Direction . Check the momentum histogram for directional confirmation:
• Green histogram + green triangle up = Go long. Bullish momentum supports upward breakout.
• Red histogram + red triangle down = Go short. Bearish momentum supports downward breakout.
4 - Monitor Momentum Intensity . Stay in the trade while histogram bars maintain their dark, intense color.
When colors lighten (dark green to light green, or dark red to light red), momentum is weakening and you should consider taking profits or tightening stops.
█ INTERPRETATION GUIDE
Squeeze Detection Logic
A squeeze occurs when Bollinger Bands contract inside Keltner Channels. This happens when:
• Standard deviation of price decreases (BB narrows)
• Price consolidates within a tight range
• Volatility compresses to unsustainable levels
The orange dots signal this condition, warning traders that explosive movement is imminent.
Squeeze Release Logic
A squeeze releases when Bollinger Bands expand outside Keltner Channels. This happens when:
• Price volatility increases sharply
• Price breaks out of consolidation
• Volume typically expands (check volume separately)
The green dots and release triangles signal this condition, indicating the direction and timing of the breakout.
Momentum Reading
The histogram uses linear regression to calculate momentum relative to the midpoint of the recent range:
• Above Zero : Price is trading above the range midpoint with bullish pressure
• Below Zero : Price is trading below the range midpoint with bearish pressure
• Increasing Bars : Momentum is strengthening in the current direction (darker color)
• Decreasing Bars : Momentum is weakening in the current direction (lighter color)
█ BEST PRACTICES
• Timeframe Selection — The indicator works on all timeframes but performs best on 15-minute to daily charts.
Lower timeframes may produce more false signals due to noise.
• Confluence Trading — Combine squeeze releases with support/resistance levels, trend lines, or other indicators for higher probability setups.
• Volume Confirmation — Check that squeeze releases occur with increasing volume. Low volume breakouts are more likely to fail.
• Multiple Timeframe Analysis — Check higher timeframes for overall trend direction. Trade squeeze releases that align with the larger trend.
• Parameter Adjustment — Increase BB and KC lengths for smoother signals on higher timeframes. Decrease for more sensitive signals on lower timeframes.
█ LIMITATIONS
• The indicator does not predict breakout direction before the squeeze releases. The momentum histogram provides bias but is not definitive until the breakout occurs.
• False breakouts can occur, particularly in choppy or low-volume market conditions. Always use proper risk management and stop losses.
• The indicator works best in trending markets. In deeply ranging markets with no clear direction, squeeze signals may be less reliable.
• Momentum calculations use linear regression which can lag during extremely fast price movements. Confirm signals with price action.
█ NOTES
This implementation uses linear regression for momentum calculation rather than simple moving averages, providing more responsive and accurate directional signals. The four-color histogram system gives traders nuanced feedback on momentum strength that binary color schemes cannot provide.
The indicator automatically adjusts to any symbol and timeframe without modification, making it suitable for stocks, forex, crypto, and futures markets.
█ CREDITS
Squeeze methodology inspired by John Carter's TTM Squeeze indicator. Momentum calculation and visual design optimized for modern trading workflows.
