Trend Extractor First off, I'm a huge John Ehlers admirer. Been learning a lot from him. This indicator was inspired by his Super Bandpass Filter.
The goal of this indicator, which I'm calling "Trend Extractor" for lack of a better name, is to identify trends and filter out choppy market movements, similar to the Super Bandpass Filter,... but arguably more customisable. Personally, I've had better results with this Trend Extractor.
A brief overview of how it works:
The price changes are averaged over the lookback period using the Arnaud Legoux Moving Average (ALMA), which has been chosen for its superb versatility.
For instance, with Offset 1 and Sigma 0, it behaves like a SMA, and with Offset 1.1 and Sigma 2, it behaves like a WMA. So, feel free to tweak and experiment.
The purple lines are the positive and negative root mean square (RMS) of the main line, and act as signal lines.
The higher the Smoothing, the smoother the main line, at the cost of greater lag. Default is 1, that is, none. I'd suggest going not higher than 5.
Signals are straightforward to interpret. Trending up when green, trending down when red, and ranging when gray.
Your feedback is very well appreciated. Thank you. :)
Cerca negli script per "trend"
EMA TrendThe purpose of this script is to identify price trends based on EMAs. The relative position of price to specific EMAs and the position of certain EMAs towards each other are used to determine the trend direction. The script is intended for investors as a tool to define a basis for further evaluation. I do not use the script as a signal generator and would not recommend doing so without the help of additional indicators.
How to work with the script
The major (or long term) trend direction is determined by the 144 EMA much in the same way as the 200 MA is used in other systems. If the price is above the 144 EMA we are in a long term uptrend, below we are in a long term downtrend. This is to be taken with a grain of salt though. The 144 EMA is considerably shorter than the 200 SMA and is more prone to the price fluctuating around it during periods without a strong long term trend. I recommend using this as a confirmation for the short term trend.
The short term trend is derived from the position and slope of the price, the 21 EMA and the 55 EMA. If the price is above the 21 EMA, the 21 above the 55 EMA, both EMAs are sloping upwards and the distance between the two is increasing, we are talking about an uptrend (and vice versa for a downtrend). This is visualized by the color of the fill between the 144 EMA and close price. Green for uptrend, red for downtrend and no color for an undetermined trend.
The EMAs used are: 21 , 34 , 55 , 89 , 144 , 233 . Most of the EMAs are at 50 transparency to appear less dominant. For orientation, the 144 EMA is bright green to indicate its general importance for the trend determination, and the 55 EMAs is not transparent mainly to be able to identify positioning when the EMAs are close together.
Base time frame EMA
The 144 EMA is plotted twice where one is fixed to the daily time frame (can be configured) to be able to have the 144 on different timeframes during analysis. I find this very useful to keep the focus on my main time frame while analyzing trend on lower or higher time frames. This can also be turned off.
Configurability
This script is less configurable than I generally like with my other scripts. The reason is that the title attribute of the plots is not dynamic, and I use the data window often to get exact values from the script to determine buy targets for pullbacks and other things. Hence, I prefer not to have random names (or no names) in there to save mental capacity. If this ever becomes available, I'll gladly add this to this script. Till then, I encourage you to take the script and adjust it to your own needs. It should be simple enough even if you are just starting out in pine.
ysantur trendfollowerIt is an indicator that aims to stay in the trend by generating a buy or sell signal according to the intersection of two moving averages. The first trend line is a moving average whose weights are calculated based on fibonacci numbers or golden ratio. The second trend line is achieved by smoothing the first. Thus, two trend lines, one faster and one slower, are obtained.
How does it work
- When the fast line cross over the slow line, it generates a buy signal. On the contrary, a sell signal occurs when the fast trend line cross under the slower trend
- The area between the two trend lines is colored for easier understanding. Blue cloud shows "Bullish", gray cloud shows "Bearish"
- If prices are above the blue cloud, it indicates a strong Bullish trend.
- When prices go under the gray cloud, a strong bearish trend is observed.
- Prices being in the cloud should be treated as a "Hold" signal. In this case, the fast trend will act as resistance and slow trend act as a support. Position should be changed according to the situation.
- While there is a blue cloud, that is, in the bull trend, the two trend lines moving too far from each other may indicate a possible correction / reversal.
- While there is a gray cloud, that is, in the bear trend, the divergence of two trend lines from each other may indicate a possible correction / reversal.
- While in the bearish trend, prices move far from the cloud and re-enter into the cloud in near time. When these levels are monitored carefully, a return from a possible bear trend can be caught early.
As with every indicator, it can produce false signals in the horizontal market, so it should not be used alone. I continue to improve on it to put it in less positions due to commission and slip, not to generate false signals in the horizontal market. Now I can say that it produces good results in daily periods, not bad in hourly and 4 hours periods. Backtest is required for shorter periods. Please feel free to comment and write for my improvement.
Trend Thrust Indicator - RafkaThis indicator defines the impact of volume on the volume-weighted moving average, emphasizing trends with greater volume.
What determines a security’s value? Price is the agreement to exchange despite the possible disagreement in value. Price is the conviction, emotion, and volition of investors. It is not a constant but is influenced by information, opinions, and emotions over time. Volume represents this degree of conviction and is the embodiment of information and opinions flowing through investor channels. It is the asymmetry between the volume being forced through supply (offers) and demand (bids) that facilitates price change. Quantifying the extent of asymmetry between price trends and the corresponding volume flows is a primary objective of volume analysis. Volume analysis research reveals that volume often leads price but may also be used to confirm the present price trend.
Trend thrust indicator
The trend thrust indicator (TTI), an enhanced version of the volume-weighted moving average convergence/divergence (VW-Macd) indicator, was introduced in Buff Pelz Dormeier's book 'Investing With Volume Analysis'. The TTI uses a volume multiplier in unique ways to exaggerate the impact of volume on volume-weighted moving averages. Like the VW-Macd, the TTI uses volume-weighted moving averages as opposed to exponential moving averages. Volume-weighted averages weigh closing prices proportionally to the volume traded during each time period, so the TTI gives greater emphasis to those price trends with greater volume and less emphasis to time periods with lighter volume. In the February 2001 issue of Stocks & Commodities, I showed that volume-weighted moving averages (Buff averages, or Vwmas) improve responsiveness while increasing reliability of simple moving averages.
Like the Macd and VW-Macd, the TTI calculates a spread by subtracting the short (fast) average from the long (slow) average. This spread combined with a volume multiplier creates the Buff spread
Optimized Trend TrackerA brand new indicator from the developer of MOST (Moving Stop Loss) indicator Anıl Özekşi.
Optimized Trend Tracker OTT is an indicator that provides traders to find an existing trend or in another words to ser which side of the current trend we are on.
We are under the effect of the uptrend in cases where the prices are above OTT ,
under the influence of a downward trend, when prices are below OTT
it is possible to say that we are.
The first parameter in the OTT indicator set by the two parameters is the period/length.
OTT will be much sensitive to trend movements if it is smaller. And vice versa, will be less sensitive when it is longer.
As the period increases it will become less sensitive to little trends and price actions.
In this way, your choice of period, will be closely related to which of the sort of trends you are interested in.
The OTT percent parameter in OTT is an optimization coefficient. Just like in the period
small values are better at capturing short term fluctuations, while large values
will be more suitable for long-term trends.
In addition, when OTT is used with the support line in it, buy and sell signals
it will become a producing indicator.
You can use OTT default alarms and Buy Sell signals like:
1-
BUY when Prices are above OTT
SELL when Prices are below OTT
2-
BUY when OTT support Line crosses over OTT line.
SELL when OTT support Line crosses under OTT line.
3-
BUY when OTT line is Green and makes higher highs.
SELL when OTT line is Red and makes lower lows.
Note: A small coverage with English subtitles will be available on my Youtube Channel soon.
EMA Slope Cross Trend Follower StrategyThis strategy uses the cross of the slopes of two EMAs having different lengths to generate trend follower signals. By default, I use 130 and 400, which behave very well.
The conditions which make the strat enter the market are:
- Fast Slope > Slow Slope and price > EMA 200 : go Long
- Fast Slope < Slow Slope and price < EMA200 : go Short
The simple slopes cross in the opposite direction, closes the position.
The strategy performs best on Bitcoin and the most liquid and capitalized Altcoins, but works greatly on volatile assets as well, in particular if they often go trending.
Works best on 4h time frame.
There's also an optional Volatility filter, which opens the position only if the difference between the two slopes is more than a specific value, which can be set in the strategy inputs. The purpose is not opening positions if price is going sideways and the noise is way > than the signal.
Enjoy it!
Ehlers Instantaneous Trendline V1 [CC]The Instantaneous Trendline was created by John Ehlers (Rocket Science For Traders pgs 109-110) and this indicator is perfect for determining the medium to long term trend. Buy when the indicator line is green and sell when it is red. I will be introducing a different version of this indicator which is perfect for short term trends so these will pair great together.
Let me know if there are other scripts you would like to see me publish or if you want something custom done!
Trend Follow with kijun-sen/tenkan sen for 1 Hour SPX
This script determines, plots and alerts on probable trend initiation and continuation points, using tenkan-sen(conversion line of ichimoku), kijun-sen(baseline of ichimoku) and stochastic RSI, for 1 H SPX.
New long/short trend initiates when prices cross above/below kijun sen. The trend continues when prices cross above/below tenkan-sen or stochastic RSI crosses up/down its signal line, while prices are above/below kijun-sen.
It is good to take partial profit between 10-15 points gain and trail the left with stops below kijun-sen line.
While placing the order, using 2-3 points buffer above/below of signal bars is recommended. Additionally, please be careful about clouds and do not place long/short orders below/above clouds.
Trend Trade ( in W, D, H, 15M )Condition:
Uptrend, EMA5 > EMA8 > EMA13
Downtrend, EMA5 < EMA8 < EMA13
EMA# input can be changed by user.
Trading Plan:
1. Long in Uptrend when Price croseover EMA5;
Buy EMA5 + 0.03 (Do not wait for close), initial stop EMA13-0.03
If it is a big Gap up, do not chase. Let it go;
2. Short in Downtrend when Price croseunder EMA5;
Short EMA5 - 0.03 (Do not wait for close), initial stop EMA13+0.03
If it is a big Gap Down, do not chase. Let it go;
3. No target strategy in this study;
Back test Weekly, daily, hourly, 15M chart for ES1!, CL1!, GC1!, SPY, QQQ, TLT, IWM, XLF, XLK, XOP, GS, IBM, APPL, AMD, MMM, WBA
When side way move, Entry could be stopped quickly with small loss;
When entry in trending move, the position could be hold for a good range, and keep adding to winner.
Using this study, Futures and ETFs are better than single stock. Big Gap can break the trend, and trigger big stop loss;
This study is designed to join an existing trend. Try not use this in the time frame below 15 min.
To catch the turning point of a swing, Price action (Demand/Supply Confirmation) and trendlineBreak could be more accurate than EMA/SMA lines.
Heatmap trending MalaysiaThis heatmap chart is created base on Heikin Ashi trend for Malaysia Major Index
CONSTRUCTN ,TECHNOLOGY,FINANCE,CONSUMER,PROPERTIES,IND-PROD,PLANTATION,REIT.
This allow compare to malaysia stock for macro trending.
Lastly ,thank to LonesomeTheBlue which inspire me for this coding .
Automatic TrendlinesIntroduction
For a full free tutorial explaining this code in more detail, visit the backtest-rookies (.com) website.
This indicator will plot two trend lines at any given time. A resistance trend line and a support trend line. The resistance trend is shown with red circles and is created by joining swing highs together. The second is a support trend which is created by joining swing lows.
Since we need swings to make the trend, the trend line code contains code for the swing detection. You can play around with the swing detection to alter how frequently new trend lines are detected. Relying on swings also means that there will be some delay in trend detection depending on how you configure the swing detection. The higher you set rightbars, the more lag you will have before a trend is detected. However, at the same time the quality of the pivots found will increase. So it is a trade-off you need to come to terms with and decide what the best settings are for you.
Lines
A single trend line is made up of several components.
Pivot Points: Marked as blue or orange circles. There will be two pivots per trend.
Orange/Purple Lines: Connecting all pivot points. You will see these lines change direction slightly each time a new pivot is detected (new circles appear).
Green/Red Circle lines: Showing the trend line from the earliest moment a new trend is detected.
Blue Dashed lines: Joining the purple and green/red circle lines so the full trend line can be seen.
Note: The blue dashed lines use pine-scripts drawing functions. As such, there is a limit to how many of these can be placed on a chart. When the limit is reached, the oldest line will be removed so the newest can be drawn. This means that if you detect enough trends and scroll back in time, the blue dashed lines will disappear at some point!
Trendless MACD Strategy (Trendless Strategy Series -1 )I Try to eliminate the trend of the stock to see a clear version of the indicators. If you have any idea about that topic, you can send a message to me and we can improve this idea together.
Trend Follower | jhThis is a trend following system that combines 3 indicators which provide different functionalities, also a concept conceived by VP's No Nonsense FX / NNFX method.
1. Baseline
The main baseline filter is an indicator called Modular Filter created by Alex Grover
- www.tradingview.com
- Alex Grover - Modular Filter
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That's the moving average like baseline following price, filtering long and short trends and providing entry signals when the price crosses the baseline.
Entry signal indicated with arrows.
2. Volume/Volatility, I will called it Trend Strength
The next indicator is commonly known as ASH, Absolute Strength Histogram.
This indicator was shared by VP as a two line cross trend confirmation indicator, however I discovered an interesting property when I modified the calculation of the histogram.
- Alex Grover Absolute Strength
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My modification and other info here
- Absolute Strength Histogram v2
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I simplified the display of the trend strength by plotting squares at the bottom of the chart.
- Lighted Squares shows strength
- Dimmed Squares shows weakness
3. Second Confirmation / Exits / Trailing Stop
Finally the last indicator is my usage of QQE (Qualitative Quantitative Estimation), demonstrated in my QQE Trailing Line Indicator
- QQE Trailing Line for Trailing Stop
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Three usages of this amazing indicator, serving as :
- Second trend confirmation
- Exit signal when price crosses the trailing line
- Trailing stop when you scaled out the second trade
This indicator is plotted with crosses.
Additional plots and information
Bar Color
- Green for longs, Red for shorts, White when the baseline direction conflicts with the QQE trailing line direction
- When it's white, it's usually ranging and not trending, ASH will also keep you off ranging periods.
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ATR Filter
- White circles along the baseline, they will show up if the price has moved more than one ATR from the baseline
- The default allowance is 1 ATR.
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The previous and current ATR value
- Label on the right side of the chart showing the previous and current value of ATR
Adding my Didi and ASH indicators up on this screenshot
Didi Index Improved with QQE
HMA-Kahlman Trend & TrendlinesThis script utilizes two modules, Trendlines module (by Joris Duyck) and HMA-Kahlman Trend module. Trendlines module produces crossovers predictive of the next local trend.
Machine Learning | Adaptive Trend Signals [Bitwardex]⚙️🧠Machine Learning | Adaptive Trend Signals
🔷Overview
Machine Learning | Adaptive Trend Signals is a Pine Script™ v6 indicator designed to visualize market trends and generate signals through a combination of volatility clustering, Gaussian smoothing, and adaptive trend calculations. Built as an overlay indicator, it integrates advanced techniques inspired by machine learning concepts, such as K-Means clustering, to adapt to changing market conditions. The script is highly customizable, includes a backtesting module, and supports alert conditions, making it suitable for traders exploring trend-based strategies and developers studying volatility-driven indicator design.
🔷Functionality
The indicator performs the following core functions:
• Volatility Clustering: Uses K-Means clustering to categorize market volatility into high, medium, and low states, adjusting trend sensitivity accordingly.
• Trend Calculation: Computes adaptive trend lines (SmartTrend) based on volatility-adjusted standard deviation, smoothed RSI, and ADX filters.
• Signal Generation: Identifies potential buy and sell points through trend line crossovers and directional confirmation.
• Backtesting Module: Tracks trade outcomes based on the SmartTrend3 value, displaying win rate and total trades.
• Visualization: Plots trend lines with gradient colors and optional signal markers (bullish 🐮 and bearish 🐻).
• Alerts: Provides configurable alerts for trend shifts and volatility state changes.
🔷Technical Methodology
Volatility Clustering with K-Means
The indicator employs a K-Means clustering algorithm to classify market volatility, measured via the Average True Range (ATR), into three distinct clusters:
• Data Collection: Gathers ATR values over a user-defined training period (default: 100 bars).
• Centroid Initialization: Sets initial centroids at the highest, lowest, and midpoint ATR values within the training period.
• Iterative Clustering: Assigns ATR data points to the nearest centroid, recalculates centroid means, and repeats until convergence.
• Dynamic Adjustment: Assigns a volatility state (high, medium, or low) based on the closest centroid, adjusting the trend factor (e.g., tighter for high volatility, wider for low volatility).
This approach allows the indicator to adapt its sensitivity to varying market conditions, providing a data-driven foundation for trend calculations.
🔷Gaussian Smoothing
To enhance signal clarity and reduce noise, the indicator applies Gaussian kernel smoothing to:
• RSI: Smooths the Relative Strength Index (calculated from OHLC4) to filter short-term fluctuations.
• SmartTrend: Smooths the primary trend line for a more stable output.
The Gaussian kernel uses a sigma value derived from the user-defined smoothing length, ensuring mathematically consistent noise reduction.
🔷SmartTrend Calculation
The pineSmartTrend function is the core of the indicator, producing three trend lines:
• SmartTrend: The primary trend line, calculated using a volatility-adjusted standard deviation, smoothed RSI, and ADX conditions.
• SmartTrend2: A secondary trend line with a wider factor (base factor * 1.382) for signal confirmation.
SmartTrend3: The average of SmartTrend and SmartTrend2, used for plotting and backtesting.
Key components of the calculation include:
• Dynamic Standard Deviation: Scales based on ATR relative to its 50-period smoothed average, with multipliers (1.0 to 1.4) applied according to volatility thresholds.
• RSI and ADX Filters: Requires RSI > 50 for bullish trends or < 50 for bearish trends, alongside ADX > 15 and rising to confirm trend strength.
Volatility-Adjusted Bands: Constructs upper and lower bands around price action, adjusted by the volatility cluster’s dynamic factor.
🔷Signal Generation
The generate_signals function generates signals as follows:
• Buy Signal: Triggered when SmartTrend crosses above SmartTrend2 and the price is above SmartTrend, with directional confirmation.
• Sell Signal: Triggered when SmartTrend crosses below SmartTrend2 and the price is below SmartTrend, with directional confirmation.
Directional Logic: Tracks trend direction to filter out conflicting signals, ensuring alignment with the broader market context.
Signals are visualized as small circles with bullish (🐮) or bearish (🐻) emojis, with an option to toggle visibility.
🔷Backtesting
The get_backtest function evaluates signal outcomes using the SmartTrend3 value (rather than closing prices) to align with the trend-based methodology.
It tracks:
• Total Trades: Counts completed long and short trades.
• Win Rate: Calculates the percentage of trades where SmartTrend3 moves favorably (higher for longs, lower for shorts).
Position Management: Closes opposite positions before opening new ones, simulating a single-position trading system.
Results are displayed in a table at the top-right of the chart, showing win rate and total trades. Note that backtest results reflect the indicator’s internal logic and should not be interpreted as predictive of real-world performance.
🔷Visualization and Alerts
• Trend Lines: SmartTrend3 is plotted with gradient colors reflecting trend direction and volatility cluster, accompanied by a secondary line for visual clarity.
• Signal Markers: Optional buy/sell signals are plotted as small circles with customizable colors.
• Alerts: Supports alerts for:
• Bullish and bearish trend shifts (confirmed on bar close).
Transitions to high, medium, or low volatility states.
🔷Input Parameters
• ATR Length (default: 14): Period for ATR calculation, used in volatility clustering.
• Period (default: 21): Common period for RSI, ADX, and standard deviation calculations.
• Base SmartTrend Factor (default: 2.0): Base multiplier for volatility-adjusted bands.
• SmartTrend Smoothing Length (default: 10): Length for Gaussian smoothing of the trend line.
• Show Buy/Sell Signals? (default: true): Enables/disables signal markers.
• Bullish/Bearish Color: Customizable colors for trend lines and signals.
🔷Usage Instructions
• Apply to Chart: Add the indicator to any TradingView chart.
• Configure Inputs: Adjust parameters to align with your trading style or market conditions (e.g., shorter ATR length for faster markets).
• Interpret Output:
• Trend Lines: Use SmartTrend3’s direction and color to gauge market bias.
• Signals: Monitor bullish (🐮) and bearish (🐻) markers for potential entry/exit points.
• Backtest Table: Review win rate and total trades to understand the indicator’s behavior in historical data.
• Set Alerts: Configure alerts for trend shifts or volatility changes to support manual or automated trading workflows.
• Combine with Analysis: Use the indicator alongside other tools or market context, as it is designed to complement, not replace, comprehensive analysis.
🔷Technical Notes
• Data Requirements: Requires at least 100 bars for accurate volatility clustering. Ensure sufficient historical data is loaded.
• Market Suitability: The indicator is designed for trend detection and may perform differently in ranging or volatile markets due to its reliance on RSI and ADX filters.
• Backtesting Scope: The backtest module uses SmartTrend3 values, which may differ from price-based outcomes. Results are for informational purposes only.
• Computational Intensity: The K-Means clustering and Gaussian smoothing may increase processing time on lower timeframes or with large datasets.
🔷For Developers
The script is modular, well-commented, encouraging reuse and modification with proper attribution.
Key functions include:
• gaussianSmooth: Applies Gaussian kernel smoothing to any data series.
• pineSmartTrend: Computes adaptive trend lines with volatility and momentum filters.
• getDynamicFactor: Adjusts trend sensitivity based on volatility clusters.
• get_backtest: Evaluates signal performance using SmartTrend3.
Developers can extend these functions for custom indicators or strategies, leveraging the volatility clustering and smoothing methodologies. The K-Means implementation is particularly useful for adaptive volatility analysis.
🔷Limitations
• The indicator is not predictive and should be used as part of a broader trading strategy.
• Performance varies by market, timeframe, and parameter settings, requiring user experimentation.
• Backtest results are based on historical data and internal logic, not real-world trading conditions.
• Volatility clustering assumes sufficient historical data; incomplete data may affect accuracy.
🔷Acknowledgments
Developed by Bitwardex, inspired by machine learning concepts and adaptive trading methodologies. Community feedback is welcome via TradingView’s platform.
🔷 Risk Disclaimer
Trading involves significant risks, and most traders may incur losses. Bitwardex AI Algo is provided for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument . The signals, metrics, and features are tools for analysis and do not guarantee profits or specific outcomes. Past performance is not indicative of future results. Always conduct your own due diligence and consult a financial advisor before making trading decisions.
EMA Oscillating Trend📈 EMA Oscillating Trend by AI-123
The EMA Oscillating Trend indicator is a dynamic trend visualizer that enhances traditional EMA behavior by offsetting the line based on trend direction, providing a more intuitive and visually distinct representation of market momentum.
🔍 Key Features:
🔵 Bullish Color Customization – Define your preferred color for bullish trends
🔴 Bearish Color Customization – Set a different tone for bearish phases
🪄 Adjustable Line Thickness – Tailor the EMA's appearance to your chart style
📐 Offset Multiplier Input – Automatically pushes the EMA above price in a downtrend and below price in an uptrend for enhanced clarity
⚙️ User-Friendly Inputs – No coding knowledge required; full customization in the settings panel
🧠 How It Works:
Calculates a primary EMA line (OV) and a sub-component to compare against (OV2)
Determines the trend based on whether OV is above or below OV2
Shifts the EMA line above price during bearish trends and below price during bullish trends
The offset is percentage-based and scales dynamically with the price for optimal readability
✅ Ideal For:
Trend-followers seeking visual clarity
Discretionary traders who want less clutter and more signal
Anyone who likes their EMAs with a little more flair and insight
🛠️ Author: @alphainvestor123
This tool was crafted with simplicity and clarity in mind. If you enjoy the indicator, consider dropping feedback or sharing your use case!
Volumatic Trend [ChartPrime]
A unique trend-following indicator that blends trend logic with volume visualization, offering a dynamic view of market momentum and activity. It automatically detects trend shifts and paints volume histograms at key levels, allowing traders to easily spot strength or weakness within trends.
⯁ KEY FEATURES
Trend Detection System:
Uses a custom combination of weighted EMA (swma) and regular EMA to detect trend direction.
A diamond appears on trend shift, indicating the starting point of a new bullish or bearish phase.
Volume Histogram Zones:
At each new trend, the indicator draws two horizontal zones (top and bottom) and visualizes volume activity within that trend using dynamic histogram candles.
Gradient-Based Candle Coloring:
Candle color is blended with a gradient based on volume intensity. This helps highlight where volume spikes occurred, making it easy to identify pressure points.
Volume Summary Labels:
A label at the end of each trend zone displays two critical values:
- Delta: net volume difference between bullish and bearish bars.
- Total: overall volume accumulated during the trend.
⯁ HOW TO USE
Monitor diamond markers to identify when a new trend begins.
Use volume histogram spikes to assess if the trend is supported by strong volume or lacking participation.
A high delta with strong total volume in a trend indicates institutional support.
Compare gradient strength of candles—brighter areas represent higher-volume trading activity.
Can be used alone or combined with other confirmation tools like structure breaks, liquidity sweeps, or order blocks.
⯁ CONCLUSION
Volumatic Trend gives you more than just trend direction—it provides insight into the force behind it. With volume-graded candles and real-time histogram overlays, traders can instantly assess whether a trend is backed by conviction or fading strength. A perfect tool for swing traders and intraday strategists looking to add volume context to their directional setups.
SUPeR TReND 2.718An evolved version of the classic Supertrend, SUPeR TReND 2.718 is built to deliver elegant, high-precision trend detection using Euler's constant (e = 2.718) as its default multiplier. Designed for clarity and visual flow, this indicator brings together smooth line work, intelligent color logic, and a minimalistic tally system that tracks trend persistence — all in a highly customizable, overlay-ready format.
Unlike traditional implementations, this version maintains line visibility regardless of fill opacity, ensuring crisp tracking even in complex environments. Ideal for traders who value both aesthetics and actionable structure.
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🔑 Key Features:
- 📐 ATR-based Supertrend with default multiplier = e (2.718)
- 📉 Dynamic trend line with optional fill beneath price
- ⏳ Trend duration tally label (count-only or full format)
- ⬆️ Higher-timeframe Supertrend overlay (optional)
- 🟢 Directional candle coloring for clarity
- 🟡 Subtle anchor line to guide perception without clutter
- ⚙️ PineScript v6 compliant, efficient and modular
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🧠 Interpretation Guide:
- The Supertrend line tracks trend support or resistance — beneath price in uptrends, above in downtrends.
- The shaded fill reflects direction with 70% transparency.
- The trend tally label counts how long the current trend has lasted.
- Candle colors confirm direction without overtaking price action.
- The optional HTF line shows higher-timeframe context.
- A soft yellow anchor line stabilizes the fill relationship without distraction.
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⚙️ Inputs & Controls:
- ✏️ ATR Length – Volatility lookback
- 🧮 Multiplier – Default = 2.718 (Euler's number)
- 🕰️ Higher Timeframe – Choose your bias frame
- 👁️ Show HTF / Main – Toggle each trend layer
- 🧾 Show Label / Simplify – Show trend duration, with or without arrows
- 🎨 Color Candles – Turn directional bar coloring on or off
- 🪄 Show Fill – Toggle the shaded visual rhythm
- 🎛️ All visuals use tuned colors and transparencies for clarity
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🚀 Best Practices:
- ✅ Works on any time frame; shines on 1h v. 1D
- 🔁 Use the HTF line for macro bias filtering
- 📊 Combine with volume or liquidity overlays for edge
- 🧱 Use as a structural base layer with minimalist stacks
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📈 Strategy Tips:
- 🧭 MTF Trend Alignment: Enable the HTF line to filter trades. If the HTF trend is up, only take longs on the lower frame, and vice versa.
- 🔁 Pullback Entries: During a strong trend, consider short-term dips below the Supertrend line as possible re-entry zones — only if HTF remains aligned.
- ⏳ Tally for Exhaustion: When the bar count exceeds 15+, look for confluence (volume divergence, key levels, reversal signals).
- ⚠️ HTF Flip + Extended Trend: When the HTF trend reverses while the main trend is extended, that may be a macro exit or fade signal.
- 🚫 Solo Mode: Disable HTF and use the main trend + tally as a standalone signal layer.
- 🧠 Swing Setup Friendly: Especially powerful on 1D or 1h in swing systems or trend-based grid strategies.
OG Trend MeterDescription:
The OG Trend Meter gives you a visual snapshot of multiple timeframe trends in one glance. Built for speed and clarity, it helps confirm direction across key intraday timeframes: 1m, 5m, 15m, and 30m.
How it works:
Each timeframe analyzes EMA alignment, price action, and momentum.
Displays clear green/red indicators for bullish/bearish trends on each timeframe.
Great for aligning trades with higher timeframe bias.
Best for:
Traders who want multi-timeframe confirmation before pulling the trigger.
Reducing fakeouts by staying with the dominant trend.
Scalping with the 1m chart while respecting 5m–30m direction.
Pair With: OG Supertrend or EMA Stack for high-probability confluence.
AI Trend Momentum SniperThe AI Trend Momentum Sniper is a powerful technical analysis tool designed for day trading. This strategy combines multiple momentum and trend indicators to identify high-probability entry and exit points. The indicator utilizes a combination of Supertrend, MACD, RSI, ATR (Average True Range), and On-Balance Volume (OBV) to generate real-time signals for buy and sell opportunities.
Key Features:
Supertrend for detecting market direction (bullish or bearish).
MACD for momentum confirmation, highlighting changes in market momentum.
RSI to filter out overbought/oversold conditions and ensure high-quality trades.
ATR as a volatility filter to adjust for changing market conditions.
OBV (On-Balance Volume) to confirm volume strength and trend validity.
Dynamic Stop-Loss & Take-Profit based on ATR to manage risk and lock profits.
This indicator is tailored for intraday traders looking for quick market moves, especially in volatile and high liquidity assets like Bitcoin (BTC) and Ethereum (ETH). It helps traders capture short-term trends with efficient risk management tools.
How to Apply:
Set Your Chart: Apply the AI Trend Momentum Sniper to a 5-minute (M5) or 15-minute (M15) chart for optimal performance.
Buy Signal: When the indicator generates a green arrow below the bar, it indicates a buy signal based on positive trend and momentum alignment.
Sell Signal: A red arrow above the bar signals a sell condition when the trend and momentum shift bearish.
Stop-Loss and Take-Profit: The indicator automatically calculates dynamic stop-loss and take-profit levels based on the ATR value for each trade, ensuring proper risk management.
Alerts: Set up custom alerts for buy or sell signals, and get notified instantly when opportunities arise.
Best Markets for Use:
BTC/USDT, ETH/USDT – High liquidity and volatility.
Major altcoins with sufficient volume.
Avoid using it on low-liquidity assets where price action may become erratic.
Timeframes:
This indicator is best suited for lower timeframes (5-minute to 15-minute charts) to capture quick price movements in trending markets.
Market Trend Levels Non-Repainting [BigBeluga X PineIndicators]This strategy is based on the Market Trend Levels Detector developed by BigBeluga. Full credit for the concept and original indicator goes to BigBeluga.
The Market Trend Levels Detector Strategy is a non-repainting trend-following strategy that identifies market trend shifts using two Exponential Moving Averages (EMA). It also detects key price levels and allows traders to apply multiple filters to refine trade entries and exits.
This strategy is designed for trend trading and enables traders to:
Identify trend direction based on EMA crossovers.
Detect significant market levels using labeled trend lines.
Use multiple filter conditions to improve trade accuracy.
Avoid false signals through non-repainting calculations.
How the Market Trend Levels Detector Strategy Works
1. Core Trend Detection Using EMA Crossovers
The strategy detects trend shifts using two EMAs:
Fast EMA (default: 12 periods) – Reacts quickly to price movements.
Slow EMA (default: 25 periods) – Provides a smoother trend confirmation.
A bullish crossover (Fast EMA crosses above Slow EMA) signals an uptrend , while a bearish crossover (Fast EMA crosses below Slow EMA) signals a downtrend .
2. Market Level Detection & Visualization
Each time an EMA crossover occurs, a trend level line is drawn:
Bullish crossover → A green line is drawn at the low of the crossover candle.
Bearish crossover → A purple line is drawn at the high of the crossover candle.
Lines can be extended to act as support and resistance zones for future price action.
Additionally, a small label (●) appears at each crossover to mark the event on the chart.
3. Trade Entry & Exit Conditions
The strategy allows users to choose between three trading modes:
Long Only – Only enters long trades.
Short Only – Only enters short trades.
Long & Short – Trades in both directions.
Entry Conditions
Long Entry:
A bullish EMA crossover occurs.
The trade direction setting allows long trades.
Filter conditions (if enabled) confirm a valid long signal.
Short Entry:
A bearish EMA crossover occurs.
The trade direction setting allows short trades.
Filter conditions (if enabled) confirm a valid short signal.
Exit Conditions
Long Exit:
A bearish EMA crossover occurs.
Exit filters (if enabled) indicate an invalid long position.
Short Exit:
A bullish EMA crossover occurs.
Exit filters (if enabled) indicate an invalid short position.
Additional Trade Filters
To improve trade accuracy, the strategy allows traders to apply up to 7 additional filters:
RSI Filter: Only trades when RSI confirms a valid trend.
MACD Filter: Ensures MACD histogram supports the trade direction.
Stochastic Filter: Requires %K line to be above/below threshold values.
Bollinger Bands Filter: Confirms price position relative to the middle BB line.
ADX Filter: Ensures the trend strength is above a set threshold.
CCI Filter: Requires CCI to indicate momentum in the right direction.
Williams %R Filter: Ensures price momentum supports the trade.
Filters can be enabled or disabled individually based on trader preference.
Dynamic Level Extension Feature
The strategy provides an optional feature to extend trend lines until price interacts with them again:
Bullish support lines extend until price revisits them.
Bearish resistance lines extend until price revisits them.
If price breaks a line, the line turns into a dotted style , indicating it has been breached.
This helps traders identify key levels where trend shifts previously occurred, providing useful support and resistance insights.
Customization Options
The strategy includes several adjustable settings :
Trade Direction: Choose between Long Only, Short Only, or Long & Short.
Trend Lengths: Adjust the Fast & Slow EMA lengths.
Market Level Extension: Decide whether to extend support/resistance lines.
Filters for Trade Confirmation: Enable/disable individual filters.
Color Settings: Customize line colors for bullish and bearish trend shifts.
Maximum Displayed Lines: Limit the number of drawn support/resistance lines.
Considerations & Limitations
Trend Lag: As with any EMA-based strategy, signals may be slightly delayed compared to price action.
Sideways Markets: This strategy works best in trending conditions; frequent crossovers in sideways markets can produce false signals.
Filter Usage: Enabling multiple filters may reduce trade frequency, but can also improve trade quality.
Line Overlap: If many crossovers occur in a short period, the chart may become cluttered with multiple trend levels. Adjusting the "Display Last" setting can help.
Conclusion
The Market Trend Levels Detector Strategy is a non-repainting trend-following system that combines EMA crossovers, market level detection, and customizable filters to improve trade accuracy.
By identifying trend shifts and key price levels, this strategy can be used for:
Trend Confirmation – Using EMA crossovers and filters to confirm trend direction.
Support & Resistance Trading – Identifying dynamic levels where price reacts.
Momentum-Based Trading – Combining EMA crossovers with additional momentum filters.
This strategy is fully customizable and can be adapted to different trading styles, timeframes, and market conditions.
Full credit for the original concept and indicator goes to BigBeluga.
Candle Trend ConfirmationCandle Trend Confirmation Indicator
The "Candle Trend Confirmation" indicator This indicator leverages an Exponential Moving Average (EMA) to visually confirm market trends through dynamic coloring of the EMA line, a shading effect, and candle color changes. It aims to help traders quickly identify strong trends and consolidation phases, enhancing decision-making in various market conditions.
Key Features
Customizable EMA Period:
Traders can adjust the EMA period via an input parameter, with a default setting of 20 periods. This flexibility allows the indicator to adapt to different timeframes and trading strategies.
Pip Threshold for Trend Strength:
A user-defined pip threshold (default set to 0.02) determines the distance from the EMA required to classify a trend as "strong." This parameter can be fine-tuned to suit specific instruments, such as forex pairs, cryptocurrencies, or stocks, where pip values may differ.
Trend Detection Logic:
Strong Uptrend: The closing price must be above the EMA by at least the pip threshold (e.g., 2 pips) and show consistent upward movement over the last three bars (current close > previous close > close two bars ago).
Strong Downtrend: The closing price must be below the EMA by at least the pip threshold and exhibit consistent downward movement over the last three bars.
Consolidation: Any price action that doesn’t meet the strong trend criteria is classified as a consolidation phase.
Dynamic Coloring:
EMA Line: Displayed using the line.new function, the EMA changes color based on trend conditions: green for a strong uptrend, red for a strong downtrend, and purple for consolidation. The line is drawn only for the most recent bar to maintain chart clarity.
Candles: Candlestick colors mirror the trend state—green for strong uptrends, red for strong downtrends, and purple for consolidation—using the barcolor function, providing an immediate visual cue.
Shading Effect: Two dashed lines are drawn above and below the EMA (at half the pip threshold distance) to create a subtle shading zone. These lines adopt a semi-transparent version of the EMA’s color, enhancing the visual representation of the trend’s strength.
How It Works
The indicator calculates the EMA based on the closing price and compares the current price to this average. By incorporating a pip-based threshold and a three-bar confirmation, it filters out noise and highlights only significant trend movements. The use of line.new instead of plot ensures compatibility with certain TradingView environments and offers a lightweight way to render the EMA and shading lines on the chart.
Usage
Trend Identification: Green signals a strong bullish trend, ideal for potential long entries; red indicates a strong bearish trend, suitable for short opportunities; purple suggests a range-bound market, where caution or range-trading strategies may apply.
Customization: Adjust the EMA period and pip threshold in the indicator settings to match your trading style or the volatility of your chosen market. For example, forex traders might set the threshold to 0.0002 for 2 pips on EUR/USD, while crypto traders might use 2.0 for BTC/USD.
Visual Clarity: The combination of EMA coloring, shading, and candle highlights provides a comprehensive view of market dynamics at a glance.
Gradient Trend Filter [ChartPrime]The Gradient Trend Filter is a dynamic trend analysis tool that combines a noise-filtered trend detection system with a color-gradient cloud. It provides traders with a visual representation of trend strength, momentum shifts, and potential reversals.
⯁ KEY FEATURES
Trend Noise Filtering
Uses an advanced smoothing function to filter market noise and produce a more reliable trend representation.
// Noise filter function
noise_filter(src, length) =>
alpha = 2 / (length + 1)
nf_1 = 0.0
nf_2 = 0.0
nf_3 = 0.0
nf_1 := (alpha * src) + ((1 - alpha) * nz(nf_1 ))
nf_2 := (alpha * nf_1) + ((1 - alpha) * nz(nf_2 ))
nf_3 := (alpha * nf_2) + ((1 - alpha) * nz(nf_3 ))
nf_3 // Final output with three-stage smoothing
Color-Based Trend Visualization
The mid-line changes color based on trend direction—green for uptrends and red for downtrends—making it easy to identify trends at a glance.
Orange diamond markers appear when a trend shift is confirmed, providing actionable signals for traders.
Gradient Color Trend Cloud
A cloud around the base trend line that dynamically changes color, often signaling trend shifts ahead of the main trend line.
When in a downtrend, if the cloud starts turning green, it suggests weakening bearish momentum or an upcoming bullish reversal. Conversely, when in an uptrend, a red cloud indicates potential trend weakening or a bearish reversal.
Multi-Layered Trend Bands
The cloud consists of multiple bands, offering a range of support and resistance zones that traders can use for confluence in decision-making.
⯁ HOW TO USE
Identify Trend Strength & Reversals
Use the mid-line and cloud color changes to assess the strength of a trend and spot early signs of reversals.
Monitor Momentum Shifts
Watch for gradient cloud color shifts before the trend line changes color, as this can indicate early weakening or strengthening of momentum.
Act on Trend Shift Markers
Use the orange diamonds as confirmation of trend shifts and potential trade entry or exit points.
Utilize Cloud Bands as Support/Resistance
The outer bands of the cloud act as dynamic support and resistance, helping traders refine their stop-loss and take-profit placements.
⯁ CONCLUSION
The Gradient Trend Filter is an advanced trend detection tool designed for traders looking to anticipate trend shifts with greater precision. By integrating a noise-filtered trend line with a gradient-based trend cloud, this indicator enhances traders' ability to navigate market trends effectively.
