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CMF and Scaled EFI OverlayCMF and Scaled EFI Overlay Indicator Overview The CMF and Scaled EFI Overlay indicator combines the Chaikin Money Flow (CMF) and a scaled version of the Elder Force Index (EFI) into a single chart. This allows traders to analyze both indicators simultaneously, facilitating better insights into market momentum and volume dynamics , specifically focusing on buying/selling pressure and momentum , without compromising the integrity of either indicator. Purpose Chaikin Money Flow (CMF): Measures buying and selling pressure by evaluating price and volume over a specified period. It indicates accumulation (buying pressure) when values are positive and distribution (selling pressure) when values are negative. Elder Force Index (EFI): Combines price changes and volume to assess the momentum behind market moves. Positive values indicate upward momentum (prices rising with strong volume), while negative values indicate downward momentum (prices falling with strong volume). By scaling the EFI to match the amplitude of the CMF, this indicator enables a direct comparison between pressure and momentum , preserving their shapes and zero crossings. Traders can observe the relationship between price movements, volume, and momentum more effectively, aiding in decision-making. Understanding Pressure vs. Momentum Chaikin Money Flow (CMF): - Indicates the level of demand (buying pressure) or supply (selling pressure) in the market based on volume and price movements. - Accumulation: When institutional or large investors are buying significant amounts of an asset, leading to an increase in buying pressure. - Distribution: When these investors are selling off their holdings, increasing selling pressure. Elder Force Index (EFI): - Measures the strength and speed of price movements, indicating how forceful the current trend is. - Positive Momentum: Prices are rising quickly, indicating a strong uptrend. - Negative Momentum: Prices are falling rapidly, indicating a strong downtrend. Understanding the difference between pressure and momentum is crucial. For example, a market may exhibit strong buying pressure (positive CMF) but weak momentum (low EFI), suggesting accumulation without significant price movement yet. Features Overlay of CMF and Scaled EFI: Both indicators are plotted on the same chart for easy comparison of pressure and momentum dynamics. Customizable Parameters: Adjust lengths for CMF and EFI calculations and fine-tune the scaling factor for optimal alignment. Preserved Indicator Integrity: The scaling method preserves the shape and zero crossings of the EFI, ensuring accurate analysis. How It Works CMF Calculation: - Calculates the Money Flow Multiplier (MFM) and Money Flow Volume (MFV) to assess buying and selling pressure. - CMF is computed by summing the MFV over the specified length and dividing by the sum of volume over the same period: CMF = (Sum of MFV over n periods) / (Sum of Volume over n periods) EFI Calculation: - Calculates the EFI using the Exponential Moving Average (EMA) of the price change multiplied by volume: EFI = EMA(n, Change in Close * Volume) Scaling the EFI: - The EFI is scaled by multiplying it with a user-defined scaling factor to match the CMF's amplitude. Plotting: - Both the CMF and the scaled EFI are plotted on the same chart. - A zero line is included for reference, aiding in identifying crossovers and divergences. Indicator Settings Inputs CMF Length (`cmf_length`): - Default: 20 - Description: The number of periods over which the CMF is calculated. A higher value smooths the indicator but may delay signals. EFI Length (`efi_length`): - Default: 13 - Description: The EMA length for the EFI calculation. Adjusting this value affects the sensitivity of the EFI to price changes. EFI Scaling Factor (`efi_scaling_factor`): - Default: 0.000001 - Description: A constant used to scale the EFI to match the CMF's amplitude. Fine-tuning this value ensures the indicators align visually. How to Adjust the EFI Scaling Factor Start with the Default Value: - Begin with the default scaling factor of `0.000001`. Visual Inspection: - Observe the plotted indicators. If the EFI appears too large or small compared to the CMF, proceed to adjust the scaling factor. Fine-Tune the Scaling Factor: - Increase or decrease the scaling factor incrementally (e.g., `0.000005`, `0.00001`, `0.00005`) until the amplitudes of the CMF and EFI visually align. - The optimal scaling factor may vary depending on the asset and timeframe. Verify Alignment: - Ensure that the scaled EFI preserves the shape and zero crossings of the original EFI. - Overlay the original EFI (if desired) to confirm alignment. How to Use the Indicator Analyze Buying/Selling Pressure and Momentum: - Positive CMF (>0): Indicates accumulation (buying pressure). - Negative CMF (<0): Indicates distribution (selling pressure). - Positive EFI: Indicates positive momentum (prices rising with strong volume). - Negative EFI: Indicates negative momentum (prices falling with strong volume). Look for Indicator Alignment: - Both CMF and EFI Positive: - Suggests strong bullish conditions with both buying pressure and upward momentum. - Both CMF and EFI Negative: - Indicates strong bearish conditions with selling pressure and downward momentum. Identify Divergences: - CMF Positive, EFI Negative: - Buying pressure exists, but momentum is negative; potential for a bullish reversal if momentum shifts. - CMF Negative, EFI Positive: - Selling pressure exists despite rising prices; caution advised as it may indicate a potential bearish reversal. Confirm Signals with Other Analysis: - Use this indicator in conjunction with other technical analysis tools (e.g., trend lines, support/resistance levels) to confirm trading decisions. Example Usage Scenario 1: Bullish Alignment - CMF Positive: Indicates accumulation (buying pressure). - EFI Positive and Increasing: Shows strengthening upward momentum. - Interpretation: - Strong bullish signal suggesting that buyers are active, and the price is likely to continue rising. - Action: - Consider entering a long position or adding to existing ones. Scenario 2: Bearish Divergence - CMF Negative: Indicates distribution (selling pressure). - EFI Positive but Decreasing: Momentum is positive but weakening. - Interpretation: - Potential bearish reversal; price may be rising but underlying selling pressure suggests caution. - Action: - Be cautious with long positions; consider tightening stop-losses or preparing for a possible trend reversal. Tips Adjust for Different Assets: - The optimal scaling factor may differ across assets due to varying price and volume characteristics. - Always adjust the scaling factor when analyzing a new asset. Monitor Indicator Crossovers: - Crossings above or below the zero line can signal potential trend changes. Watch for Divergences: - Divergences between the CMF and EFI can provide early warning signs of trend reversals. Combine with Other Indicators: - Enhance your analysis by combining this overlay with other indicators like moving averages, RSI, or Ichimoku Cloud. Limitations Scaling Factor Sensitivity: - An incorrect scaling factor may misalign the indicators, leading to inaccurate interpretations. - Regular adjustments may be necessary when switching between different assets or timeframes. Not a Standalone Indicator: - Should be used as part of a comprehensive trading strategy. - Always consider other market factors and indicators before making trading decisions. Disclaimer No Guarantee of Performance: - Past performance is not indicative of future results. - Trading involves risk, and losses can exceed deposits. Use at Your Own Risk: - This indicator is provided for educational purposes. - The author is not responsible for any financial losses incurred while using this indicator. Code Summary //@version=5 indicator(title="CMF and Scaled EFI Overlay", shorttitle="CMF & Scaled EFI", overlay=false) cmf_length = input.int(20, minval=1, title="CMF Length") efi_length = input.int(13, minval=1, title="EFI Length") efi_scaling_factor = input.float(0.000001, title="EFI Scaling Factor", minval=0.0, step=0.000001) // --- CMF Calculation --- ad = high != low ? ((2 * close - low - high) / (high - low)) * volume : 0 mf = math.sum(ad, cmf_length) / math.sum(volume, cmf_length) // --- EFI Calculation --- efi_raw = ta.ema(ta.change(close) * volume, efi_length) // --- Scale EFI --- efi_scaled = efi_raw * efi_scaling_factor // --- Plotting --- plot(mf, color=color.green, title="CMF", linewidth=2) plot(efi_scaled, color=color.red, title="EFI (Scaled)", linewidth=2) hline(0, color=color.gray, title="Zero Line", linestyle=hline.style_dashed) - Lines 4-6: Define input parameters for CMF length, EFI length, and EFI scaling factor. - Lines 9-11: Calculate the CMF. - Lines 14-16: Calculate the EFI. - Line 19: Scale the EFI by the scaling factor. - Lines 22-24: Plot the CMF, scaled EFI, and zero line. Feedback and Support Suggestions: If you have ideas for improvements or additional features, please share your feedback. Support: For assistance or questions regarding this indicator, feel free to contact the author through TradingView. --- By combining the CMF and scaled EFI into a single overlay, this indicator provides a powerful tool for traders to analyze market dynamics more comprehensively. Adjust the parameters to suit your trading style, and always practice sound risk management.
Indicatore Pine Script®
di Rashino
Standardized MACD Heikin-Ashi TransformedThe Standardized MACD Heikin-Ashi Transformed (St. MACD) is an advanced indicator designed to overcome the limitations of the traditional MACD. It offers a more robust and standardized measure of momentum, making it comparable across different timeframes and securities. By incorporating the Heikin-Ashi transformation, the St. MACD provides a smoother visualization of trends and potential reversals, enhancing its utility for traders seeking a clearer view of the underlying market direction. Methodology: The calculation of St. MACD begins with the traditional MACD, which computes the difference between two exponential moving averages (EMAs) of the price. To address the issue of non-comparability across assets, the St. MACD normalizes its values using the exponential average of the price's height. This normalization process ensures that the indicator's readings are not influenced by the absolute price levels, allowing for objective and quantitatively defined comparisons of momentum strength. Furthermore, St. MACD utilizes the Heikin-Ashi transformation, which involves deriving candles from the price data. These Heikin-Ashi candles provide a smoother representation of trends and help filter out noise in the market. A predictive curve of Heikin-Ashi candles within the St. MACD turns blue or red, indicating the prevailing trend direction. This feature enables traders to easily identify trend shifts and make better informed trading decisions. Advantages: St. MACD offers several key advantages over the traditional MACD- Standardization: By normalizing the indicator's values, St. MACD becomes comparable across different assets and timeframes. This makes it a valuable tool for traders analyzing various markets and seeking consistent momentum measurements. Heikin-Ashi Transformation: The integration of the Heikin-Ashi transformation smoothes out the indicator's fluctuations and enhances trend visibility. Traders can more easily identify trends and potential reversal points, improving their market analysis. Quantifiable Momentum: St. MACD's key levels represent the strength of momentum, providing traders with a quantifiable framework to gauge the intensity of market movements. This feature helps identify periods of increased or decreased momentum. Utility: The St. MACD indicator offers versatile utility for traders- Trend Identification: Traders can use the color-coded predictive curve of Heikin-Ashi candles to swiftly determine the prevailing trend direction. This aids in identifying potential entry and exit points in the market. Reversal Signals: Colored extremes within the St. MACD signal potential price reversals, alerting traders to potential turning points in the market. This assists in making timely decisions during market inflection points. Overbought/Oversold Conditions: The histogram version of St. MACD can be used in conjunction with the bands to detect short-term overbought or oversold market conditions, allowing traders to adjust their strategies accordingly. In conclusion, this tool addresses the limitations of the traditional MACD by providing a standardized and comparable momentum indicator. Its incorporation of the Heikin-Ashi transformation enhances trend visibility and assists traders in making more informed decisions. With its quantifiable momentum measurements and various utility features, the St. MACD is a valuable tool for traders seeking a clearer and more objective view of market trends and reversals. Key Features: Display Modes: MACD, Histogram or Hybrid Reversion Triangles by adjustable thresholds Bar Coloring Methods: MidLine, Candles, Signal Cross, Extremities, Reversions Example Charts: -Traditional limitations- -Comparisons across time and securities- -Showcase- See Also: -Other Heikin-Ashi Transforms-
Indicatore Pine Script®
di EliCobra
48
Trend Speed Analyzer (Zeiierman)█ Overview The Trend Speed Analyzer by Zeiierman is designed to measure the strength and speed of market trends, providing traders with actionable insights into momentum dynamics. By combining a dynamic moving average with wave and speed analysis, it visually highlights shifts in trend direction, market strength, and potential reversals. This tool is ideal for identifying breakout opportunities, gauging trend consistency, and understanding the dominance of bullish or bearish forces over various timeframes. █ How It Works The indicator employs a Dynamic Moving Average (DMA) enhanced with an Accelerator Factor, allowing it to adapt dynamically to market conditions. The DMA is responsive to price changes, making it suitable for both long-term trends and short-term momentum analysis. Key components include: Trend Speed Analysis: Measures the speed of market movements, highlighting momentum shifts with visual cues. Wave Analysis: Tracks bullish and bearish wave sizes to determine market strength and bias. Normalized Speed Values: Ensures consistency across different market conditions by adjusting for volatility. ⚪ Average Wave and Max Wave These metrics analyze the size of bullish and bearish waves over a specified Lookback Period: Average Wave: This represents the mean size of bullish and bearish movements, helping traders gauge overall market strength. Max Wave: Highlights the largest movements within the period, identifying peak momentum during trend surges. ⚪ Current Wave Ratio This feature compares the current wave's size against historical data: Average Wave Ratio: Indicates if the current momentum exceeds historical averages. A value above 1 suggests the trend is gaining strength. Max Wave Ratio: Shows whether the current wave surpasses previous peak movements, signaling potential breakouts or trend accelerations. ⚪ Dominance Dominance metrics reveal whether bulls or bears have controlled the market during the Lookback Period: Average Dominance: Compares the net difference between average bullish and bearish wave sizes. Max Dominance: Highlights which side had the stronger individual waves, indicating key power shifts in market dynamics. Positive values suggest bullish dominance, while negative values point to bearish control. This helps traders confirm trend direction or anticipate reversals. █ How to Use Identify Trends: Leverage the color-coded candlesticks and dynamic trend line to assess the overall market direction with clarity. Monitor Momentum: Use the Trend Speed histogram to track changes in momentum, identifying periods of acceleration or deceleration. Analyze Waves: Compare the sizes of bullish and bearish waves to identify the prevailing market bias and detect potential shifts in sentiment. Additionally, fluctuations in Current Wave ratio values should be monitored as early indicators of possible trend reversals. Evaluate Dominance: Utilize dominance metrics to confirm the strength and direction of the current trend. █ Settings Maximum Length: Sets the smoothing of the trend line. Accelerator Multiplier: Adjusts sensitivity to price changes. Lookback Period: Defines the range for wave calculations. Enable Table: Displays statistical metrics for in-depth analysis. Enable Candles: Activates color-coded candlesticks. Collection Period: Normalizes trend speed values for better accuracy. Start Date: Limits calculations to a specific timeframe. Timer Option: Choose between using all available data or starting from a custom date. ----------------- 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!
Indicatore Pine Script®
di Zeiierman
12
SuperATR 7-Step Profit - Strategy [presentTrading] Long time no see! █ Introduction and How It Is Different The SuperATR 7-Step Profit Strategy is a multi-layered trading approach that integrates adaptive Average True Range (ATR) calculations with momentum-based trend detection. What sets this strategy apart is its sophisticated 7-step take-profit mechanism, which combines four ATR-based exit levels and three fixed percentage levels. This hybrid approach allows traders to dynamically adjust to market volatility while systematically capturing profits in both long and short market positions. Traditional trading strategies often rely on static indicators or single-layered exit strategies, which may not adapt well to changing market conditions. The SuperATR 7-Step Profit Strategy addresses this limitation by: - Using Adaptive ATR: Enhances the standard ATR by making it responsive to current market momentum. - Incorporating Momentum-Based Trend Detection: Identifies stronger trends with higher probability of continuation. - Employing a Multi-Step Take-Profit System: Allows for gradual profit-taking at predetermined levels, optimizing returns while minimizing risk. BTCUSD 6hr Performance █ Strategy, How It Works: Detailed Explanation The strategy revolves around detecting strong market trends and capitalizing on them using an adaptive ATR and momentum indicators. Below is a detailed breakdown of each component of the strategy. 🔶 1. True Range Calculation with Enhanced Volatility Detection The True Range (TR) measures market volatility by considering the most significant price movements. The enhanced TR is calculated as: TR = Max Where: High and Low are the current bar's high and low prices. Previous Close is the closing price of the previous bar. Abs denotes the absolute value. Max selects the maximum value among the three calculations. 🔶 2. Momentum Factor Calculation To make the ATR adaptive, the strategy incorporates a Momentum Factor (MF), which adjusts the ATR based on recent price movements. Momentum = Close - Close Stdev_Close = Standard Deviation of Close over n periods Normalized_Momentum = Momentum / Stdev_Close (if Stdev_Close ≠ 0) Momentum_Factor = Abs(Normalized_Momentum) Where: Close is the current closing price. n is the momentum_period, a user-defined input (default is 7). Standard Deviation measures the dispersion of closing prices over n periods. Abs ensures the momentum factor is always positive. 🔶 3. Adaptive ATR Calculation The Adaptive ATR (AATR) adjusts the traditional ATR based on the Momentum Factor, making it more responsive during volatile periods and smoother during consolidation. Short_ATR = SMA(True Range, short_period) Long_ATR = SMA(True Range, long_period) Adaptive_ATR = / Where: SMA is the Simple Moving Average. short_period and long_period are user-defined inputs (defaults are 3 and 7, respectively). 🔶 4. Trend Strength Calculation The strategy quantifies the strength of the trend to filter out weak signals. Price_Change = Close - Close ATR_Multiple = Price_Change / Adaptive_ATR (if Adaptive_ATR ≠ 0) Trend_Strength = SMA(ATR_Multiple, n) 🔶 5. Trend Signal Determination If (Short_MA > Long_MA) AND (Trend_Strength > Trend_Strength_Threshold): Trend_Signal = 1 (Strong Uptrend) Elif (Short_MA < Long_MA) AND (Trend_Strength < -Trend_Strength_Threshold): Trend_Signal = -1 (Strong Downtrend) Else: Trend_Signal = 0 (No Clear Trend) 🔶 6. Trend Confirmation with Price Action Adaptive_ATR_SMA = SMA(Adaptive_ATR, atr_sma_period) If (Trend_Signal == 1) AND (Close > Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA): Trend_Confirmed = True Elif (Trend_Signal == -1) AND (Close < Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA): Trend_Confirmed = True Else: Trend_Confirmed = False Local Performance 🔶 7. Multi-Step Take-Profit Mechanism The strategy employs a 7-step take-profit system █ Trade Direction The SuperATR 7-Step Profit Strategy is designed to work in both long and short market conditions. By identifying strong uptrends and downtrends, it allows traders to capitalize on price movements in either direction. Long Trades: Initiated when the market shows strong upward momentum and the trend is confirmed. Short Trades: Initiated when the market exhibits strong downward momentum and the trend is confirmed. █ Usage To implement the SuperATR 7-Step Profit Strategy: 1. Configure the Strategy Parameters: - Adjust the short_period, long_period, and momentum_period to match the desired sensitivity. - Set the trend_strength_threshold to control how strong a trend must be before acting. 2. Set Up the Multi-Step Take-Profit Levels: - Define ATR multipliers and fixed percentage levels according to risk tolerance and profit goals. - Specify the percentage of the position to close at each level. 3. Apply the Strategy to a Chart: - Use the strategy on instruments and timeframes where it has been tested and optimized. - Monitor the positions and adjust parameters as needed based on performance. 4. Backtest and Optimize: - Utilize TradingView's backtesting features to evaluate historical performance. - Adjust the default settings to optimize for different market conditions. █ Default Settings Understanding default settings is crucial for optimal performance. Short Period (3): Affects the responsiveness of the short-term MA. Effect: Lower values increase sensitivity but may produce more false signals. Long Period (7): Determines the trend baseline. Effect: Higher values reduce noise but may delay signals. Momentum Period (7): Influences adaptive ATR and trend strength. Effect: Shorter periods react quicker to price changes. Trend Strength Threshold (0.5): Filters out weaker trends. Effect: Higher thresholds yield fewer but stronger signals. ATR Multipliers: Set distances for ATR-based exits. Effect: Larger multipliers aim for bigger moves but may reduce hit rate. Fixed TP Levels (%): Control profit-taking on smaller moves. Effect: Adjusting these levels affects how quickly profits are realized. Exit Percentages: Determine how much of the position is closed at each TP level. Effect: Higher percentages reduce exposure faster, affecting risk and reward. Adjusting these variables allows you to tailor the strategy to different market conditions and personal risk preferences. By integrating adaptive indicators and a multi-tiered exit strategy, the SuperATR 7-Step Profit Strategy offers a versatile tool for traders seeking to navigate varying market conditions effectively. Understanding and adjusting the key parameters enables traders to harness the full potential of this strategy.
Strategia Pine Script®
di PresentTrading
7
FRAMA Channel [BigBeluga]This is a trend-following indicator that utilizes the Fractal Adaptive Moving Average (FRAMA) to create a dynamic channel around the price. The FRAMA Channel helps identify uptrends, downtrends, and ranging markets by examining the relationship between the price and the channel's boundaries. It also marks trend changes with arrows, optionally displaying either price values or average volume at these key points. 🔵 IDEA The core idea behind the FRAMA Channel indicator is to use the fractal nature of markets to adapt to different market conditions. By creating a channel around the FRAMA line, it not only tracks price trends but also adapts its sensitivity based on market volatility. When the price crosses the upper or lower bands of the channel, it signals a potential shift in trend direction. If the price remains within the channel and crosses over the upper or lower bands without a breakout, the market is likely in a ranging phase with low momentum. This adaptive approach makes the FRAMA Channel effective in both trending and ranging market environments. 🔵 KEY FEATURES & USAGE ◉ Dynamic FRAMA Channel with Trend Signals: The FRAMA Channel uses a fractal-based moving average to create an adaptive channel around the price. When the price crosses above the upper band, it signals an uptrend and plots an upward arrow with the price (or average volume) value. Conversely, when the price crosses below the lower band, it signals a downtrend and marks the point with a downward arrow. This dynamic adaptation to market conditions helps traders identify key trend shifts effectively. ◉ Ranging Market Detection: If the price remains within the channel, and only the high crosses the upper band or the low crosses the lower band, the indicator identifies a ranging market with low momentum. In this case, the channel turns gray, signaling a neutral trend. This is particularly useful for avoiding false signals during periods of market consolidation. ◉ Color-Coded Candles and Channel Bands: Candles and channel bands are color-coded to reflect the current trend direction. Green indicates an upward trend, blue shows a downward trend, and gray signals a neutral or ranging market. This visual representation makes it easy to identify the market condition at a glance, helping traders make informed decisions quickly. ◉ Customizable Display of Price or Average Volume: On trend change signals, the indicator allows users to choose whether to display the price at the point of trend change or the average volume of 10 bars. This flexibility enables traders to focus on the information that is most relevant to their strategy, whether it's the exact price entery or the volume context of the market shift. Displaying the average volume allows to see the strength of the trend change. Price Data: Average Volume of points: 🔵 CUSTOMIZATION Length & Bands Distance: Adjust the length for the FRAMA calculation to control the sensitivity of the channel. A shorter length makes the channel more reactive to price changes, while a longer length smooths it out. The Bands Distance setting determines how far the bands are from the FRAMA line, helping to define the breakout and ranging conditions. Signals Data: Choose between displaying the price or the average volume on trend change arrows. This allows traders to focus on either the exact price level of trend change or the market volume context. Color Settings: Customize the colors for upward momentum, downward momentum, and neutral states to suit your charting preferences. You can also toggle whether to color the candles based on the momentum for a clearer visual of the trend direction. The FRAMA Channel indicator adapts to market conditions, providing a versatile tool for identifying trends and ranging markets with clear visual cues.
Indicatore Pine Script®
di BigBeluga
32
Consecutive CandlesSummary This indicator helps visualize short-term momentum by automatically drawing boxes around sequences of consecutive same-colored candles (bullish or bearish). It's designed to quickly highlight periods of sustained buying or selling pressure directly on your chart. How it Works Consecutive Candle Detection: The script monitors the chart bar by bar, tracking consecutive candles where close > open (bullish) or close < open (bearish). Box Drawing: When a sequence of same-colored candles reaches a user-defined minimum length (default is 3) and this sequence is then broken by an opposite-colored candle or a doji, a box is drawn. Box Boundaries: The top of the box is set to the highest high price reached during the sequence. The bottom of the box is set to the lowest low price reached during the sequence. The left edge of the box aligns with the start time of the first candle in the sequence. The right edge of the box aligns with the end time of the last candle in the sequence. Stability: Uses xloc = xloc.bar_time to ensure boxes remain accurately anchored to the price bars when zooming or panning the chart. Real-time Extension: For active sequences meeting the minimum length on the latest developing bar, the box is optionally extended to the right. Features Automatically identifies and boxes sequences of 3 or more (customizable) consecutive bullish candles. Automatically identifies and boxes sequences of 3 or more (customizable) consecutive bearish candles. Extends box in real-time for active qualifying sequences. Customizable minimum candle count (>= 2). Customizable colors for bullish/bearish boxes and borders. Settings You can customize the indicator via the Settings menu (gear icon): Minimum Consecutive Candles: Define how many candles in a row are needed to draw a box (Default: 3). Bullish Box Color: Set the fill color for boxes around bullish sequences. Bearish Box Color: Set the fill color for boxes around bearish sequences. Box Border Color: Set the color for the border of all boxes. Potential Use Cases Momentum Identification: Quickly spot periods of strong, uninterrupted buying or selling. Exhaustion/Reversal Signals: Very long sequences might indicate potential exhaustion, setting up reversal opportunities. Consolidation Breakouts: A box forming after a period of tight consolidation can highlight the range just before a potential breakout. Confirmation: Use the boxes as confirmation for entries or exits based on momentum shifts. Disclaimer: This indicator provides visual aids based on price action. It should not be used as a standalone trading system. Always use indicators in conjunction with your own analysis and risk management rules.
Indicatore Pine Script®
di jjrocker91
Adaptive DEMA Momentum Oscillator (ADMO)Overview: The Adaptive DEMA Momentum Oscillator (ADMO) is an open-source technical analysis tool developed to measure market momentum using a Double Exponential Moving Average (DEMA) and adaptive standard deviation. By dynamically combining price deviation from the moving average with normalized standard deviation, ADMO provides traders with a powerful way to interpret market conditions. Key Features: Double Exponential Moving Average (DEMA): The core calculation of the indicator is based on DEMA, which is known for being more responsive to price changes compared to traditional moving averages. This makes the ADMO capable of capturing trend momentum effectively. Standard Deviation Integration: A normalized standard deviation is used to adaptively weight the oscillator. This makes the indicator more sensitive to market volatility, enhancing responsiveness during high volatility and reducing sensitivity during calmer periods. Oscillator Representation: The final oscillator value is derived from the combination of the DEMA-based Z-score and the normalized standard deviation. This final value is visualized as a color-coded histogram, reflecting bullish or bearish momentum. Color-Coded Histogram: Bullish Momentum: Values above zero are colored using a customizable bullish color (default: light green). Bearish Momentum: Values below zero are colored using a customizable bearish color (default: red). How It Works: Inputs: DEMA Length: Defines the period used for calculating the Double Exponential Moving Average. It can be adjusted from 1 to 200 to suit different trading styles. Standard Deviation Length: Sets the lookback period for standard deviation calculations, which influences the responsiveness of the oscillator. Standard Deviation Weight (StdDev Weight): Controls the weight given to the normalized standard deviation, allowing customization of the oscillator's sensitivity to volatility. Calculation Steps: Double Exponential Moving Average Calculation: The DEMA is calculated using two exponential moving averages, which helps in reducing lag compared to a simple moving average. Z-score Calculation: The Z-score is derived by comparing the difference between the DEMA and its smoothed average (LSMA) to the standard deviation. This indicates how far the current value is from the mean in units of standard deviation. Normalized Standard Deviation: The standard deviation is normalized by subtracting the mean standard deviation and dividing by the standard deviation of the values. This helps to make the oscillator adaptive to recent changes in volatility. Final Oscillator Value: The final value is calculated by multiplying the Z-score with a factor based on the normalized standard deviation, resulting in a momentum indicator that adapts to different market conditions. Visualization: Histogram: The oscillator is plotted as a histogram, with color-coded bars showing the strength and direction of market momentum. Positive (bullish) values are shown in green, indicating upward momentum. Negative (bearish) values are shown in red, indicating downward momentum. Zero Line: A zero line is plotted to provide a reference point, helping users quickly determine whether the current momentum is bullish or bearish. Example Use Cases: Momentum Identification: ADMO helps identify the current market momentum by dynamically adapting to changes in market volatility. When the histogram is above zero and green, it indicates bullish conditions, whereas values below zero and red suggest bearish momentum. Volatility-Adjusted Signals: The normalized standard deviation weighting allows the ADMO to provide more reliable signals during different market conditions. This makes it particularly useful for traders who want to be responsive to market volatility while avoiding false signals. Trend Confirmation and Divergence: ADMO can be used to confirm the strength of a trend or identify potential divergences between price and momentum. This helps traders spot potential reversal points or continuation signals. Summary: The Adaptive DEMA Momentum Oscillator (ADMO) offers a unique approach by combining momentum analysis with adaptive standard deviation. The integration of DEMA makes it responsive to price changes, while the standard deviation adjustment helps it stay relevant in both high and low volatility environments. It's a versatile tool for traders who need an adaptive, momentum-based approach to technical analysis. Feel free to explore the code and adapt it to your trading strategy. The open-source nature of this tool allows you to adjust the settings and visualize the output to fit your personal trading preferences.
Indicatore Pine Script®
di BullVisionCapital
3
AI Momentum [YinYang]Overview: AI Momentum is a kernel function based momentum Indicator. It uses Rational Quadratics to help smooth out the Moving Averages, this may give them a more accurate result. This Indicator has 2 main uses, first it displays ‘Zones’ that help you visualize the potential movement areas and when the price is out of bounds (Overvalued or Undervalued). Secondly it creates signals that display the momentum of the current trend. The Zones are composed of the Highest Highs and Lowest lows turned into a Rational Quadratic over varying lengths. These create our Rational High and Low zones. There is however a second zone. The second zone is composed of the avg of the Inner High and Inner Low zones (yellow line) and the Rational Quadratic of the current Close. This helps to create a second zone that is within the High and Low bounds that may represent momentum changes within these zones. When the Rationalized Close crosses above the High and Low Zone Average it may signify a bullish momentum change and vice versa when it crosses below. There are 3 different signals created to display momentum: Bullish and Bearish Momentum. These signals display when there is current bullish or bearish momentum happening within the trend. When the momentum changes there will likely be a lull where there are neither Bullish or Bearish momentum signals. These signals may be useful to help visualize when the momentum has started and stopped for both the bulls and the bears. Bullish Momentum is calculated by checking if the Rational Quadratic Close > Rational Quadratic of the Highest OHLC4 smoothed over a VWMA. The Bearish Momentum is calculated by checking the opposite. Overly Bullish and Bearish Momentum. These signals occur when the bar has Bullish or Bearish Momentum and also has an Rationalized RSI greater or less than a certain level. Bullish is >= 57 and Bearish is <= 43. There is also the option to ‘Factor Volume’ into these signals. This means, the Overly Bullish and Bearish Signals will only occur when the Rationalized Volume > VWMA Rationalized Volume as well as the previously mentioned factors above. This can be useful for removing ‘clutter’ as volume may dictate when these momentum changes will occur, but it can also remove some of the useful signals and you may miss the swing too if the volume just was low. Overly Bullish and Bearish Momentum may dictate when a momentum change will occur. Remember, they are OVERLY Bullish and Bearish, meaning there is a chance a correction may occur around these signals. Bull and Bear Crosses. These signals occur when the Rationalized Close crosses the Gaussian Close that is 2 bars back. These signals may show when there is a strong change in momentum, but be careful as more often than not they’re predicting that the momentum may change in the opposite direction. Tutorial: As we can see in the example above, generally what happens is we get the regular Bullish or Bearish momentum, followed by the Rationalized Close crossing the Zone average and finally the Overly Bullish or Bearish signals. This is normally the order of operations but isn’t always how it happens as sometimes momentum changes don’t make it that far; also the Rationalized Close and Zone Average don’t follow any of the same math as the Signals which can result in differing appearances. The Bull and Bear Crosses are also quite sporadic in appearance and don’t generally follow any sort of order of operations. However, they may occur as a Predictor between Bullish and Bearish momentum, signifying the beginning of the momentum change. The Bull and Bear crosses may be a Predictor of momentum change. They generally happen when there is no Bullish or Bearish momentum happening; and this helps to add strength to their prediction. When they occur during momentum (orange circle) there is a less likely chance that it will happen, and may instead signify the exact opposite; it may help predict a large spike in momentum in the direction of the Bullish or Bearish momentum. In the case of the orange circle, there is currently Bearish Momentum and therefore the Bull Cross may help predict a large momentum movement is about to occur in favor of the Bears. We have disabled signals here to properly display and talk about the zones. As you can see, Rationalizing the Highest Highs and Lowest Lows over 2 different lengths creates inner and outer bounds that help to predict where parabolic movement and momentum may move to. Our Inner and Outer zones are great for seeing potential Support and Resistance locations. The secondary zone, which can cross over and change from Green to Red is also a very important zone. Let's zoom in and talk about it specifically. The Middle Zone Crosses may help deduce where parabolic movement and strong momentum changes may occur. Generally what may happen is when the cross occurs, you will see parabolic movement to the High / Low zones. This may be the Inner zone but can sometimes be the outer zone too. The hard part is sometimes it can be a Fakeout, like displayed with the Blue Circle. The Cross doesn’t mean it may move to the opposing side, sometimes it may just be predicting Parabolic movement in a general sense. When we turn the Momentum Signals back on, we can see where the Fakeout occurred that it not only almost hit the Inner Low Zone but it also exhibited 2 Overly Bearish Signals. Remember, Overly bearish signals mean a momentum change in favor of the Bulls may occur soon and overly Bullish signals mean a momentum change in favor of the Bears may occur soon. You may be wondering, well what does “may occur soon” mean and how do we tell? The purpose of the momentum signals is not only to let you know when Momentum has occurred and when it is still prevalent. It also matters A LOT when it has STOPPED! In this example above, we look at when the Overly Bullish and Bearish Momentum has STOPPED. As you can see, when the Overly Bullish or Bearish Momentum stopped may be a strong predictor of potential momentum change in the opposing direction. We will conclude our Tutorial here, hopefully this Indicator has been helpful for showing you where momentum is occurring and help predict how far it may move. We have been dabbling with and are planning on releasing a Strategy based on this Indicator shortly. Settings: 1. Momentum: Show Signals: Sometimes it can be difficult to visualize the zones with signals enabled. Factor Volume: Factor Volume only applies to Overly Bullish and Bearish Signals. It's when the Volume is > VWMA Volume over the Smoothing Length. Zone Inside Length: The Zone Inside is the Inner zone of the High and Low. This is the length used to create it. Zone Outside Length: The Zone Outside is the Outer zone of the High and Low. This is the length used to create it. Smoothing length: Smoothing length is the length used to smooth out our Bullish and Bearish signals, along with our Overly Bullish and Overly Bearish Signals. 2. Kernel Settings: Lookback Window: The number of bars used for the estimation. This is a sliding value that represents the most recent historical bars. Recommended range: 3-50. Relative Weighting: Relative weighting of time frames. As this value approaches zero, the longer time frames will exert more influence on the estimation. As this value approaches infinity, the behavior of the Rational Quadratic Kernel will become identical to the Gaussian kernel. Recommended range: 0.25-25. Start Regression at Bar: Bar index on which to start regression. The first bars of a chart are often highly volatile, and omission of these initial bars often leads to a better overall fit. Recommended range: 5-25. If you have any questions, comments, ideas or concerns please don't hesitate to contact us. HAPPY TRADING!
Indicatore Pine Script®
di YinYangAlgorithms
8
DRM StrategyOne of the ways I go when I develop strategies is by reducing the number of parameters and removing fixed parameters and levels. In this strategy, I'm trying to create an RSI indicator with a dynamic length. Length is computed based on the correlation between Price and its momentum. You can set min and max values for the RSI, and if the correlation is close to 1, we'll be at a min RSI value. When it's -1, we'll be at the max level. I got this idea from Sofien Kaabar's book. The strategy is super simple, and there might be much room for improvement. Performance on the deep backtesting is not excellent, so I think the strategy needs some filters for regimes, etc. Thanks to @MUQWISHI for helping me code it. Disclaimer Please remember that past performance may not indicate future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don’t provide any financial advice.
Strategia Pine Script®
di QuantNomad
5
Squeeze Momentum MTF [LPWN]//ENGLISH Squeeze momentum of lazy bear, multiple time frames, It gives you information if the cycles with high temporality momentums are in harmony, by default two more momentums are shown, I prefer to use only one extra, in the options you can change the time frame of the momentums, in addition to the momentums you can add the RSI and ADX, if the momentum look small, you can change the value of general scale to make them bigger, the table gives us information on how the momentums and the adx are, in the options you can set the candles to color according to the harmony of the momentums // SPANISH Squeeze momentum de lazy bear, multiple time frames, te da informacion si los ciclos con momentums de temporalidad alta estan en armonia,por defecto se muestran dos momentums mas, yo prefiero usar solo uno extra, en las opcoines puedes cambiar la temporalidad de los momentums, ademas de los momentums puedes agregar el RSI y el ADX, si el momentum se ve pequeño, puedes cambiar el valor de general scale para hacerlos mas grandes, la tabla nos da infomracion de como estan los momentums y el adx, en las opciones puedes poner que las velas se pongan del color de acuerdo a la armonia de los momentums
Indicatore Pine Script®
di Lupown
8
Trend Friendly RSITrend Friendly RSI Unlike the standard RSI, "Trend Friendly RSI" adapts to the trend. RSI and other momentum-based oscillators cannot give a buy signal in uptrends and a sell signal in downtrends because they do not take into account the momentum of the trend and behave as if the price is in a constant sideways trend. "Trend Friendly RSI", on the other hand, takes into account the momentum of the trend of your chosen length and subtracts it from the current momentum, thus giving more realistic buy and sell signals. use it to identify your long-term investments and trading entry points for hodl. It would be wise to use this indicator for assets that you have done fundamental analysis and are sure of the trend direction. it doesn't know what the price will do, it just shows the points that are suitable for you. remember this indicator will fail in horizontal trends.
Indicatore Pine Script®
di faytterro
8
Guppy Multiple Moving Average (GMMA)The GMMA Momentum Indicator plots 12 EMAs on your chart, divided into two groups: Short-term EMAs (6 lines, default periods: 3, 5, 8, 10, 12, 15): Represent short-term trader sentiment and momentum. Long-term EMAs (6 lines, default periods: 30, 35, 40, 45, 50, 60): Reflect long-term investor behavior and broader market trends. By analyzing the interaction between these two groups, the indicator identifies: Bullish and bearish trends based on the relative positions of the short- and long-term EMAs. Momentum strength through the spread or convergence of the EMAs. Potential reversals or breakouts via compression signals. This PineScript version enhances the traditional GMMA by adding visual cues like background colors, bearish signals, and compression detection, making it ideal for swing traders seeking clear, actionable insights. The GMMA Momentum Indicator provides several key features: 1. Trend Identification Bullish Trend: When the short-term EMAs (green lines) are above the long-term EMAs (blue lines) and spreading apart, it signals strong upward momentum. The chart background turns light green to highlight this condition. Bearish Trend: When the short-term EMAs cross below the long-term EMAs and converge, it indicates downward momentum. The background turns light red, and an orange downward triangle appears above the bar to mark a new bearish signal. 2. Momentum Analysis The spread between the short-term EMAs reflects the strength of short-term momentum. A wide spread suggests strong momentum, while a tight grouping indicates weakening momentum or consolidation. Similarly, the long-term EMAs act as dynamic support or resistance, guiding traders on the broader trend. 3. Compression Detection Compression occurs when both the short-term and long-term EMAs converge, signaling low volatility and a potential breakout or reversal. A yellow upward triangle appears below the bar when compression is detected, alerting traders to watch for price action. 4. Visual Cues Green short-term EMAs: Show short-term trader activity. Blue long-term EMAs: Represent long-term investor sentiment. Background colors: Light green for bullish trends, light red for bearish trends, and transparent for neutral conditions. Orange downward triangles: Mark new bearish trends. Yellow upward triangles: Indicate compression, hinting at potential breakouts. How to Use the GMMA Momentum Indicator for Swing Trading Swing trading involves capturing price moves over days to weeks, and the GMMA Momentum Indicator is an excellent tool for this strategy. Here’s how to use it effectively: 1. Identifying Trade Entries Buy Opportunities: Look for a bullish trend (green background) where the short-term EMAs are above the long-term EMAs and spreading apart, indicating strong momentum. A compression signal (yellow triangle) followed by a breakout above resistance or a bullish candlestick pattern can confirm an entry. Example: On a daily chart, if the short-term EMAs cross above the long-term EMAs and the background turns green, consider entering a long position, especially if volume supports the move. Sell Opportunities: Watch for a bearish signal (orange downward triangle) or a bearish trend (red background) where the short-term EMAs cross below the long-term EMAs. Example: If the short-term EMAs collapse below the long-term EMAs and an orange triangle appears, it may signal a shorting opportunity or a time to exit longs. 2. Managing Trades Use the long-term EMAs as dynamic support (in uptrends) or resistance (in downtrends) to set stop-loss levels or trail stops. Monitor the spread of the short-term EMAs. A widening spread suggests the trend is strong, while convergence may indicate it’s time to take profits or tighten stops. 3. Anticipating Reversals Compression signals (yellow triangles) highlight periods of low volatility, often preceding significant price moves. Combine these with price action (e.g., breakouts or reversals) or other indicators (e.g., RSI or volume) for confirmation. Example: If a compression signal appears near a key support level and the price breaks upward, it could signal the start of a new bullish swing. 4. Best Practices Timeframes: The indicator works well on daily or 4-hour charts for swing trading, but you can adjust the EMA periods for shorter (e.g., 1-hour) or longer (e.g., weekly) timeframes. Confirmation: Combine the GMMA with other tools like support/resistance levels, candlestick patterns, or oscillators (e.g., MACD) to reduce false signals. Risk Management: Always use proper position sizing and stop-losses, as EMAs are lagging indicators and may produce delayed signals in choppy markets.
Indicatore Pine Script®
di thrilledFalcon14
Uptrick: Alpha TrendIntroduction Uptrick: Alpha Trend is a comprehensive technical analysis indicator designed to provide traders with detailed insights into market trends, momentum, and risk metrics. It adapts to various trading styles—from quick scalps to longer-term positions—by dynamically adjusting its calculations and visual elements. By combining multiple smoothing techniques, advanced color schemes, and customizable data tables, the indicator offers a holistic view of market behavior. Originality The Alpha Trend indicator distinguishes itself by blending established technical concepts with innovative adaptations. It employs three different smoothing techniques tailored to specific trading modes (Scalp, Swing, and Position), and it dynamically adjusts its parameters to match the chosen mode. The indicator also offers a wide range of color palettes and multiple on-screen tables that display key metrics. This unique combination of features, along with its ability to adapt in real time, sets it apart as a versatile tool for both novice and experienced traders. Features 1. Multi-Mode Trend Line The indicator automatically selects a smoothing method based on the trading mode: - Scalp Mode uses the Hull Moving Average (HMA) for rapid responsiveness. - Swing Mode employs the Exponential Moving Average (EMA) for balanced reactivity. - Position Mode applies the Weighted Moving Average (WMA) for smoother, long-term trends. Each method is chosen to best capture the price action dynamics appropriate to the trader’s timeframe. 2. Adaptive Momentum Thresholds It tracks bullish and bearish momentum with counters that increment as the trend confirms directional movement. When these counters exceed a user-defined threshold, the indicator generates optional buy or sell signals. This approach helps filter out minor fluctuations and highlights significant market moves. 3. Gradient Fills Two types of fills enhance visual clarity: - Standard Gradient Fill displays ATR-based zones above and below the trend line, indicating potential bullish and bearish areas. - Fading Gradient Fill creates a smooth transition between the trend line and the price, visually emphasizing the distance between them. 4. Bar Coloring and Signal Markers The indicator can color-code bars based on market conditions—bullish, bearish, or neutral—allowing for immediate visual assessment. Additionally, signal markers such as buy and sell arrows are plotted when momentum thresholds are breached. 5. Comprehensive Data Tables Uptrick: Alpha Trend offers several optional tables for detailed analysis: - Insider Info: Displays key metrics like the current trend value, bullish/bearish momentum counts, and ATR. - Indicator Metrics: Lists input settings such as trend length, damping, signal threshold, and net momentum. - Market Analysis: Summarizes overall trend direction, trend strength, Sortino ratio, return, and volatility. - Price & Trend Dynamics: Details price deviation from the trend, trend slope, and ATR ratio. - Momentum & Volatility Insights: Presents RSI, standard deviation (volatility), and net momentum. - Performance & Acceleration Metrics: Focuses on the Sortino ratio, trend acceleration, return, and trend strength. Each table can be positioned flexibly on the chart, allowing traders to customize the layout according to their needs. Why It Combines Specific Smoothing Techniques Smoothing techniques are essential for filtering out market noise and revealing underlying trends. The indicator combines three smoothing methods for the following reasons: - The Hull Moving Average (HMA) in Scalp Mode minimizes lag and responds quickly to price changes, which is critical for short-term trading. - The Exponential Moving Average (EMA) in Swing Mode gives more weight to recent data, striking a balance between speed and smoothness. This makes it suitable for mid-term trend analysis. - The Weighted Moving Average (WMA) in Position Mode smooths out short-term fluctuations, offering a clear view of longer-term trends and reducing the impact of transient market volatility. By using these specific methods in their respective trading modes, the indicator ensures that the trend line is appropriately responsive for the intended time frame, enhancing decision-making while maintaining clarity. Inputs 1. Trend Length (Default: 30) Defines the lookback period for the smoothing calculation. A shorter trend length results in a more responsive line, while a longer length produces a smoother, less volatile trend. 2. Trend Damping (Default: 0.75) Controls the degree of smoothing applied to the trend line. Lower values lead to a smoother curve, whereas higher values increase sensitivity to price fluctuations. 3. Signal Strength Threshold (Default: 5) Specifies the number of consecutive bullish or bearish bars required to trigger a signal. Higher thresholds reduce the frequency of signals, focusing on stronger moves. 4. Enable Bar Coloring (Default: True) Toggles whether each price bar is colored to indicate bullish, bearish, or neutral conditions. 5. Enable Signals (Default: True) When enabled, this option plots buy or sell arrows on the chart once the momentum thresholds are met. 6. Enable Standard Gradient Fill (Default: False) Activates ATR-based gradient fills around the trend line to visualize potential support and resistance zones. 7. Enable Fading Gradient Fill (Default: True) Draws a gradual color transition between the trend line and the current price, emphasizing their divergence. 8. Trading Mode (Options: Scalp, Swing, Position) Determines which smoothing method and ATR period to use, adapting the indicator’s behavior to short-term, medium-term, or long-term trading. 9. Table Position Inputs Allows users to select from nine possible chart positions (top, middle, bottom; left, center, right) for each data table. 10. Show Table Booleans Separate toggles control the display of each table (Insider Info, Indicator Metrics, Market Analysis, and the three Deep Tables), enabling a customized view of the data. Color Schemes (Default) - The colors in the preview image of the indicator. (Emerald) (Sapphire) (Golden Blaze) (Mystic) (Monochrome) (Pastel) (Vibrant) (Earth) (Neon) Calculations 1. Trend Line Methods - Scalp Mode: Utilizes the Hull Moving Average (HMA), which computes two weighted moving averages (one at half the length and one at full length), subtracts them, and then applies a final weighted average based on the square root of the length. This method minimizes lag and increases responsiveness. - Swing Mode: Uses the Exponential Moving Average (EMA), which assigns greater weight to recent prices, thus balancing quick reaction with smoothness. - Position Mode: Applies the Weighted Moving Average (WMA) to focus on longer-term trends by emphasizing the entire lookback period and reducing the impact of short-term volatility. 2. Momentum Tracking The indicator maintains separate counters for bullish and bearish momentum. These counters increase as the trend confirms directional movement and reset when the trend reverses. When a counter exceeds the defined signal strength threshold, a corresponding signal (buy or sell) is triggered. 3. Volatility and ATR Zones The Average True Range (ATR) is calculated using a period that adapts to the selected trading mode (shorter for Scalp, longer for Position). The ATR value is then used to define upper and lower zones around the trend line, highlighting the current level of market volatility. 4. Return and Trend Acceleration - Return is calculated as the difference between the current and previous closing prices, providing a simple measure of price change. - Trend Acceleration is derived from the change in the trend line’s movement (its first derivative) compared to the previous bar. This metric indicates whether the trend is gaining or losing momentum. 5. Sortino Ratio and Standard Deviation - The Sortino Ratio measures risk-adjusted performance by comparing returns to downside volatility (only considering negative price changes). - Standard Deviation is computed over the lookback period to assess the extent of price fluctuations, offering insights into market stability. Usage This indicator is suitable for various time frames and market instruments. Traders can enable or disable specific visual elements such as gradient fills, bar coloring, and signal markers based on their preference. For a minimalist approach, one might choose to display only the primary trend line. For a deeper analysis, enabling multiple tables can provide extensive data on momentum, volatility, trend dynamics, and risk metrics. Important Note on Risk Trading involves inherent risk, and no indicator can eliminate the uncertainty of the markets. Past performance is not indicative of future results. It is essential to use proper risk management, test any new tool thoroughly, and consult multiple sources or professional advice before making trading decisions. Conclusion Uptrick: Alpha Trend unifies a diverse set of calculations, adaptive smoothing techniques, and customizable visual elements into one powerful tool. By combining the Hull, Exponential, and Weighted Moving Averages, the indicator is able to provide a trend line that is both responsive and smooth, depending on the trading mode. Its advanced color schemes, gradient fills, and detailed data tables deliver a comprehensive analysis of market trends, momentum, and risk. Whether you are a short-term trader or a long-term investor, this indicator aims to clarify price action and assist you in making more informed trading decisions.
Indicatore Pine Script®
di Uptrick
6
25-Day Momentum IndexDescription: The 25-Day Momentum Index (25D MI) is a technical indicator designed to measure the strength and direction of price movements over a 25-day period. Inspired by classic momentum analysis, this indicator helps traders identify trends and potential reversal points in the market. How It Works: Momentum Calculation: The 25D MI calculates momentum as the difference between the current closing price and the closing price 25 days ago. This difference provides insights into the market's recent strength or weakness. Plotting: The indicator plots the Momentum Index as a blue line, showing the raw momentum values. A zero line is also plotted in gray to serve as a reference point for positive and negative momentum. Highlighting Zones: Positive Momentum: When the Momentum Index is above zero, it is plotted in green, highlighting positive momentum phases. Negative Momentum: When the Momentum Index is below zero, it is plotted in red, highlighting negative momentum phases. Usage: A rising curve means an increase in upward momentum - if it is above the zero line. A rising curve below the zero line signifies a decrease in downward momentum. By the same token, a falling curve means an increase in downward momentum below the zero line, a decrease in upward momentum above the zero line. This indicator is ideal for traders looking to complement their strategy with a visual tool that captures the essence of market momentum over a significant period. Use it to enhance your technical analysis and refine your trading decisions.
Indicatore Pine Script®
di briannjenga
Mobo BandsThis indicator is the Mobo Bands (Momentum Breakout Bands). These bands are bollinger bands that have an adjusted standard deviation. There are Buy signals when it has momentum breakouts above the bands for moves to the upside and Sell signals when it has momentum breakouts below the bands for moves to the downside. The bands simply suggest that all markets have periods of chop which we all know to be true. While the price is inside the bands it is said to be trendless. Once the breakouts happen you can take trades in the breakout direction. I like to use these to swing trade options on the hourly timeframe but the bands should work on most instruments and timeframes. I like to use it to take swings on SPY on the 1 hour chart for entries and use the Daily chart for trend confirmation.
Indicatore Pine Script®
di barrettdenning
33
Market Forecast w/ Signals [QuantVue]The Market Forecast With Signals Indicator is an upgraded version of the popular ThinkorSwim platforms Market Forecast. This upgraded version utilizes stochastic oscillators, moving averages, and momentum calculations to find potential buying and selling opportunities. Stochastic Oscillator The indicator calculates three variations of the Fast Stochastic Oscillator for different time periods: 🔹Intermediate: Calculated over a medium-term period (default 31 bars). 🔹Momentum: Calculated over a short-term period (default 5 bars). 🔹Near Term: Calculated over a very short-term period (default 3 bars). These calculations involve finding the highest and lowest values within their respective periods and comparing the current close to this range. Moving Average Smoothing The results of the Fast Stochastic Oscillator for the Intermediate and Near Term are then smoothed using a Simple Moving Average (SMA): 🔹Intermediate: 5-period SMA of the Intermediate Stochastic Oscillator. 🔹Near Term: 2-period SMA of the Near Term Stochastic Oscillator. Momentum Indicator A custom momentum calculation is performed, using the recent high and low prices over four periods. Display The indicator plots the smoothed Intermediate, Near Term, and custom Momentum calculations as separate lines on the chart. Trading Signals While the original indicator plots the lines mentioned above, the Market Forecast w/ Signals goes a step further by identifying key moments when nuanced signals fire. The built in alerts and visual aids make spotting these trading opportunities a breeze. Clusters - Bullish and Bearish clusters are identified based on the convergence of all three lines (Intermediate, Near, and Momentum) above 80 (Bearish) or below 20 (Bullish). The background color of the chart changes to indicate these clusters, aiding in quick identification of market extremes. Trend Reversals - Marked with labels on the chart, this is based on the direction of the cluster (bullish or bearish) and the subsequent price movement crossing a threshold determined during the cluster formation. Divergences - Divergences between the Near Term line and price highs/lows are detected using pivot points. These divergences are then plotted as lines on the chart, highlighting potential discrepancies between price action and momentum, which can signal reversals. Indicator Features: 🔹Custom Colors 🔹Show/Hide Signals 🔹Alerts Give this indicator a BOOST and COMMENT your thoughts! We hope you enjoy. Cheers!
Indicatore Pine Script®
di QuantVue
4