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.
Moving Averages
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Supply and Demand by BrekelThis indicator uses, and 8 and 13 ema with a solid white line for the VWAP. The POI is your points of interest and the BOS is your break of structure when a stock breaks out one direction or another after hitting that line. You will see HH for higher high, HL for Higher low indicating bullish directional moves and also LL for lower low, and Lower High, indicating a bearish directional move.
Pi Cycle Top and Bottom StrategyBased on SMA crossings, it analyzes patterns for bitcoin tops and bottoms, buying low and selling high.
Supply & Demand Zones (SK Wealth Guru)Supply & Demand Zones (SK Wealth Guru) 📈
🚀 Description:
This indicator helps traders identify key Supply & Demand Zones, integrating SuperTrend, SMA, ATR-based Stop Loss & Target, and Higher Timeframe Confirmation to refine entries.
✅ Key Features:
Automatic Supply & Demand Zone Marking
Trade Only on Candle Close within Zones
Intraday & Positional Mode (Default: 20 & 30 Lookback)
SuperTrend & SMA for Trend Confirmation
ATR-based Stop Loss & Fibonacci Target Extension
Risk-Reward Ratio Filtering
Table Display of Market Levels, Trend, and Trade Signals
⚠️ Note:
This script does not guarantee profits. Use proper risk management.
Educational Purpose Only—not financial advice.
Always backtest and use alongside other confirmation signals.
🔔 Alerts:
Buy & Sell opportunities based on zone break & trend confirmation.
📌 How It Works:
1️⃣ Demand Zone (Support) Trade:
A bullish trade is triggered only if a candle closes inside the demand zone.
2️⃣ Supply Zone (Resistance) Trade:
A bearish trade is triggered only if a candle closes inside the supply zone.
3️⃣ Risk-Reward Validation:
Trade is taken only if Risk-Reward > 2.
🔥 Developed by: SK Wealth Guru
Dynamic VWAP Levels (V1.0)The script calculates bands around the VWAP (Volume Weighted Average Price) using the Average True Range (ATR) to adjust the levels according to market reality. Buy and sell signals are generated when the price crosses these bands.
Customizable Parameters SmoothingLength (SmoothLength): The period used to smooth the levels. A higher value results in smoother bands that are less susceptible to rapid fluctuations.
Use EMA for smoothing?: Selects between using the Exponential Moving Average (EMA) or the Simple Moving Average (SMA) for smoothing.
ATR Length: The period used to calculate the ATR, which determines the frequency.
ATR Multiplier: A multiplier that adjusts the amplitude of the bands around the VWAP.
How the Script Works Calculating VWAP and Bands: The VWAP is calculated to obtain the volume weighted average price.
Bands are created around the VWAP by adding or subtracting a fraction of the ATR to account for the current market variation.
Smoothing Application: Price levels are smoothed to reduce market noise, allowing for better visualization of trends.
Signal Generation: Buy Signal: Generated when price crosses upwards the smoothed lower band (default dp7_smooth).
Sell Signal: Generated when price crosses downwards the smoothed upper band (default dp1_smooth).
Range Filter Buy and Sell 5minThis Pine Script is a **Range Filter-based Buy/Sell Indicator** for 5-minute charts. It:
- **Filters market noise** using a smoothed range filter.
- **Identifies trend direction** (uptrend = white, downtrend = blue).
- **Plots dynamic support/resistance bands**.
- **Generates Buy/Sell signals** based on price crossing the filter.
- **Includes two customizable Moving Averages (SMA, EMA, WMA, VWMA)** with crossover alerts.
- **Provides alert conditions** for trade automation.
Ideal for **scalping and short-term trading**. 🚀
bobs Brownian Trend Momentum Systemthis indicator was made using ai with low code no code that i have programed to use its understanding of pine script and my own trading knowledge it is capable of creating entries but not exits so be aware of that still working o fine tuning the details but for now this will do
pruebGPTnubecurce medias moviles, utiliza una media movil exponencia y a dicha media se le calcula una suavizada, para dar señales de entrada en el mercado, funciona para diferentes tipos de activos.
Mean-Reverse ATR Strategy[15min]The strategy is designed to work on a 15-minute timeframe, using a combination of Bollinger Bands, Simple Moving Averages (SMA), and the Average True Range (ATR) to determine trade entries and exits.
Indicators Used in the Strategy :
Bollinger Bands consist of three lines:
Middle Band (EMA or SMA): A moving average that represents the market's average price over a set period.
Upper Band: The middle band plus a multiple (mult) of the standard deviation.
Lower Band: The middle band minus a multiple of the standard deviation.
When the price touches or crosses below the lower band, it suggests an oversold condition (potential buying opportunity).
When the price touches or crosses above the upper band, it suggests an overbought condition (potential selling opportunity).
A narrowing of bands indicates low volatility, while a widening of bands indicates increased volatility.
2. Simple Moving Averages (SMA)
Purpose: Identifies the overall trend direction by averaging past prices.
SMA1 (100-period): A medium-term moving average that reacts relatively quickly to price changes.
SMA2 (200-period): A long-term moving average that reacts slower to price changes.
Uptrend Confirmation: If SMA1 is above SMA2, the market is in an uptrend.
Downtrend Confirmation: If SMA1 is below SMA2, the market is in a downtrend.
Golden Cross: When SMA1 crosses above SMA2, it signals a bullish trend.
Death Cross: When SMA1 crosses below SMA2, it signals a bearish trend.
3. Average True Range (ATR)
Purpose: Measures market volatility and is used for setting stop-loss levels.
ATR calculates the average range between the high and low of each candlestick over a set period.
A higher ATR indicates more volatility, while a lower ATR indicates less volatility.
Used to set dynamic stop-loss levels:
For long positions: Stop-loss is set below the entry price based on ATR.
For short positions: Stop-loss is set above the entry price based on ATR.
Traders often use an ATR multiplier (e.g., 2× ATR) to define reasonable stop levels based on market conditions.
Bollinger Bands generate potential entry signals based on price crossing the upper/lower bands.
SMA (100 & 200) confirms the market trend and filters false signals.
ATR dynamically calculates stop-loss levels to manage risk effectively.
This combination ensures that trades are entered at optimal points while following the overall market trend and managing risk with volatility-based stops.
Strategy uses additional baisc stop-loss at 2.5% to avoid higher lose
to determine the level of stop loss and target point I used a piece of code by RafaelZioni, here is the script from which a piece of code was taken
Enjoy !
Custom EMA Strategyקוד אלגוריתמי PINE EDITOR עבור טריידינג וויו
הקוד נדרש לבצע את הפעולות הבאות.
הגדרה של מחיר סגירה של נר P_CLOSE
משתנים ניתנים לבחירה על ידי המתשמש
ממוצע אקספוננציאלי -EMA ניתן לבחור כמה על כמה נרות יהיה הממוצע
D - מרחק של P_CLOSE - EMA
C - (P_CLOSE-P_CLOSE(2*נר קודם)+P_CLOSE(נר קודם קודם))/P_CLOSE(נר קודם)
מצב קניה
D<0
וגם
C>0
מצב מכירה
D>0
וגם
C<0
Basic Price Action IndicatorKey Features:
Support and Resistance: Identifies support and resistance levels based on the highest and lowest values of the last 20 bars (you can adjust the lookback period with the input).
Bullish Engulfing Pattern: Recognizes when a bullish engulfing candlestick pattern occurs and marks it below the bar.
Bearish Engulfing Pattern: Recognizes when a bearish engulfing candlestick pattern occurs and marks it above the bar.
Background Coloring: Highlights the chart background with a green or red color based on the pattern detected, providing an easy visual cue.
How to Use:
Support and Resistance levels will be plotted on the chart as green and red lines.
Bullish Engulfing patterns will be marked below the bars with a “BUY” label.
Bearish Engulfing patterns will be marked above the bars with a “SELL” label.
The background color will change based on the detected price action pattern (green for bullish, red for bearish).
Tillson T3 Moving Average (improved)T3 Moving Average – Advanced Smoothing for Trend Analysis
Overview
The Tillson T3 Moving Average (T3 MA) is a superior smoothing moving average that reduces lag while maintaining responsiveness to price changes. Unlike traditional moving averages such as SMA, EMA, or WMA, the T3 applies multiple levels of smoothing, making it more adaptive to market conditions.
How It Works
The T3 MA is an exponentially smoothed moving average with a factor that controls the level of smoothing. This multi-layered smoothing process allows it to:
✅ React faster than a standard EMA while still filtering out market noise.
✅ Smooth out price fluctuations better than SMA or WMA, reducing false signals.
✅ Reduce lag compared to traditional moving averages, making it useful for both trend identification and entry/exit decisions.
How to Use This Script
🔹 Trend Identification – Use T3 MA as a dynamic trend filter. Price above T3 signals an uptrend, while price below signals a downtrend.
🔹 Direction Signal – The direction of the T3 MA (i.e. sloping upwards or downwards) can itself be used as a signal. The script allows the MA line to be colored, so it's easier to spot.
🔹 Crossover Signals – Combine T3 with another moving average (e.g., a shorter T3 or EMA, SMA, etc.) to generate trade signals when they cross.
🔹 Support & Resistance – The T3 can act as dynamic support and resistance in trending markets.
Features of This Script
✅ Custom Source Selection – Apply T3 not just to price, but also to any indicator (e.g., RSI, volume, etc.).
✅ Customizable Length & Smoothing – Adjust how smooth and responsive the T3 MA is.
✅ Optional Color Changes – The T3 MA can dynamically change color based on trend direction, making it easier to read.
✅ Versatile for Any Strategy – Works well in trend-following, mean-reversion, and breakout trading systems.
This script is ideal for traders looking for a smoother, more adaptive moving average that reduces noise while remaining reactive to price action. 🚀
Kitti-Playbook 5MA+MACD R5.2.1 Objective:
1) To serve as an indicator for trend following, capable of simultaneously displaying EMA4, EMA9, EMA20, EMA55, SMA200, MACD level, and MACD signal. This will enable to identify entry points, exit points, and stop points.
2) You can also display profit and loss values by specifying the entry price, the number of contracts, and the trading direction.
Reversal Bands v1 (Public)SMA reversal bands that price action tends to stay within.
When the price is pushing into the upper band, the asset is over bought.
When the price is pushing into the lower band, the asset is over sold.
The price difference between the inner green bands is 1%.
The price difference between the outer red bands is 2%.
PRC-ALMA | QuantEdgeBIntroducing PRC-ALMA by QuantEdgeB
Overview
The PRC-ALMA (Percentile Adaptive ALMA) is an advanced dynamic trend and volatility filtering indicator that leverages the Arnaud Legoux Moving Average (ALMA) combined with Percentile Rank Filtering and Median Absolute Deviation (MAD) Bands. It is designed to enhance market structure clarity, detect breakout zones, and provide trade signals by dynamically adjusting its filtering based on recent price action.
____
Key Features
1. 📈 Adaptive ALMA Smoothing:
- Uses ALMA for smoothing price action while reducing lag.
- Provides a more responsive moving average than traditional EMAs and SMAs.
2. 📊 Percentile Rank-Based Thresholds:
- Determines upper and lower regions using 75th and 25th percentile ranks.
- Allows for adaptive thresholding based on historical price movements.
3. 🎯 Median Absolute Deviation (MAD) Volatility Filtering:
- Filters out noise using robust statistical deviation measures.
- MAD Bands dynamically adjust based on volatility expansion and contraction.
4. 🔄 Dynamic Trade Signals:
- Generates long signals when price exceeds the upper threshold.
- Generates short signals when price drops below the lower threshold.
5. 🎨 Customizable Color Modes & Visual Enhancements:
- Choose between multiple color schemes to match trading preferences.
- Optional candlestick coloring to indicate market sentiment shifts.
____
How It Works
1. ALMA Calculation:
- The indicator starts by computing the ALMA (Arnaud Legoux Moving Average) with a customizable length, offset, and sigma.
2. Percentile Rank Filtering:
- It then calculates the 75th and 25th percentile ranks over a selected period, determining dynamic levels for trend identification.
3. Volatility Adjustment Using Median Absolute Deviation (MAD):
- MAD is applied to filter noise and adapt the upper/lower bands based on market volatility.
- The higher the MAD multiplier, the wider the bands, allowing more price fluctuations before a signal triggers.
4. Entry & Exit Conditions:
- Long Entry: When price crosses above the upper percentile band + MAD filter.
- Short Entry: When price crosses below the lower percentile band - MAD filter.
5. Visual Enhancements:
- Dynamic band plotting with shading between percentile ranks.
- Candlestick coloring to visually indicate long/short sentiment shifts.
____
Practical Applications
✅ Trend Following & Momentum Trading – Uses ALMA for trend smoothing and percentile-based breakouts.
✅ Mean Reversion Strategies – Adaptive MAD filtering ensures only significant deviations trigger signals.
✅ Multi-Timeframe Trading – Works on intraday, daily, and weekly timeframes based on user customization.
✅ Noise Reduction – Eliminates minor fluctuations while capturing meaningful market moves.
____
🛠 Settings
-ALMA Length: 24 – Defines the smoothing period for the Arnaud Legoux Moving Average.
-ALMA Offset: 0.7 – Adjusts the shift factor, controlling responsiveness.
-ALMA Sigma: 4 – Determines the smoothing strength, balancing trend-following and noise reduction.
-Percentile Length: 21 – Lookback period for calculating percentile rank levels.
-Median Period: 21 – The period used for the Median Absolute Deviation (MAD) filter.
-Median Multiplier: 1.8 – Adjusts the sensitivity of the MAD filter, impacting how signals are generated.
-Color Mode: Strategy – Various visual themes available for better chart readability.
-Signal Label: Off - If turned off the indicator produced a Long or Cash signal when the trend changes.
📌 Conclusion
The PRC-ALMA | QuantEdgeB is an advanced valuation and signal generation tool that dynamically adjusts based on market conditions. By combining ALMA for trend smoothing, percentile rank thresholds, and MAD-based volatility filtering, it provides traders with a versatile indicator for momentum, breakout, and mean reversion strategies.
Key Takeaways:
✔ Smooth & Adaptive – ALMA ensures minimal lag while maintaining trend responsiveness.
✔ Dynamic Overbought/Oversold Zones – Adjusts to real-time market conditions using percentile-based bands.
✔ Volatility-Aware Filtering – Uses MAD to eliminate market noise, making signals more reliable.
✔ Customizable & Multi-Timeframe Ready – Works on various asset classes and timeframes with adjustable settings.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
EMA/MA with OHCL Candle and Long Wick – A Comprehensive Trading
Dear Traders,
I am excited to introduce EMA/MA with OHCL Candle and Long Wick, a powerful trading indicator designed to enhance market analysis by combining Exponential Moving Averages (EMA), Simple Moving Averages (MA), OHCL candle patterns, and long wick detection into a single tool.
Key Features:
✅ Customizable Wick Size & Timeframe – Adapt the indicator to different market conditions by adjusting wick size and analyzing price action over any timeframe.
✅ EMA & MA for Trend Analysis – Includes multiple EMAs and MAs (5, 9, 15, 20, 50, 100, 200) to help identify trends and potential reversals.
✅ Long Wick Signal Detection – Identifies strong Buy and Sell opportunities based on wick size, signaling potential market turning points.
✅ OHCL Candle Analysis – Highlights OHCL patterns to provide additional insights into price action.
✅ User-Friendly & Lightweight – Efficiently coded for seamless performance on TradingView.
This indicator is perfect for traders looking to refine their entry and exit strategies by leveraging price action and moving averages. Whether you're a scalper, day trader, or swing trader, this tool provides valuable insights to enhance your decision-making.
Give it a try, and let me know your feedback! 🚀
Best regards,
Purnendu Singh
Super Strategy by WEALTHCREATORTRADE [All Timeframes]Super Hit Gold Trading Strategy of WEALTHCREATORTRADE
Kung Fu MA Hustle: The ADX & Choppiness ShowdownEver feel like your trading signals are as unpredictable as a kung fu comedy? "Kung Fu MA Hustle: The ADX & Choppiness Showdown" is here to bring some Shaolin style to your charts! This strategy unleashes a high-flying crossover when the 9-period SMA clashes with the 21-period SMA—but only if the market’s got the strength of an ADX over 20 and isn’t as choppy as a bad kung fu flick (Choppiness ≤ 50). With a humorous nod to the epic style of Stephen Chow, this strategy kicks false signals out of the ring and keeps your trades as sharp as a master’s roundhouse. Step into the dojo and let your trading do the kung fu!
1-min Buy/Sell SignalsBuy signal: RSI below 30 and a bullish EMA crossover (short EMA crosses above long EMA).
Sell signal: RSI above 70 and a bearish EMA crossover (short EMA crosses below long EMA).
Adjustable RSI and EMA periods for adaptation to different market conditions.
Visual signals (arrows and background color) to clearly indicate buy and sell signals.
Multi-Timeframe VWMA chartThis "Multi-Timeframe VWMA Indicator" is a powerful tool for traders seeking to analyze price action across multiple timeframes using the Volume Weighted Moving Average (VWMA). Built in Pine Script v6, it overlays a customizable VWMA on your chart while displaying a table that tracks how your chosen price source (e.g., close, open, high, low) interacts with the VWMA across eight timeframes: 1m, 3m, 5m, 15m, 1h, 4h, 1d, and 1w.
Key features include adjustable inputs: select your price source, set the VWMA length (default 20), pick the line color (default blue), adjust line width (default 2), and apply an offset (default 0, range -500 to 500) to shift the VWMA for precise alignment. The VWMA is plotted on the current chart timeframe, scaling naturally with price due to the overlay setting.
The table, positioned top-right, shows each timeframe’s status: an upward arrow (↑, green) if the source is above the VWMA, indicating bullish momentum, or a downward arrow (↓, red) if below, suggesting bearish pressure. Using request.security, it fetches data efficiently, making it ideal for multi-timeframe analysis. Perfect for traders wanting a clear, customizable view of VWMA-based trends.
