Ultimate Trend Analyzer by HypesterTrading is not all about scalping/day trading. To have a healthy and diversified portfolio, you should always have some trending long term assets to mitigate risks and keep your wallet always on the green side.
That's why Hypester once again innovates with the Ultimate Trend Analyzer. With the UTA you can check the trend's health with one glance.
Do not fool yourself, the Ultimate Trend Analyzer offers different trading profiles, so it doesn't matter what kind of trading you are doing, from long positions to intraday scalping - UTA can quickly adapt with one click. UTA offers Swing/Longterm, Day Trading and Scalping profile.
It also has two correlation methods, volume, and price. So you can decide what you want to prioritize most.
Not only that, there are two smoothing methods, linear regression and symmetrical averaging so you can remove noises from your indicator line.
The UTA offers you insight about the trend's health, just by looking at the background color, the stronger the color, stronger the trend. So higher up it is, stronger the uptrend is. The lower it is, stronger the downtrend.
Nevertheless, the UTA also gives you insight within trend corrections and peaks and bottoms with the indicator line color. So if you have a bullish trend and you see an orange line color, it means that direction is changing and you will observe a line color change, which means the course is now bearish even though the overall trend is going up. This feature is great for swing/scalp trading looking at the big picture.
在腳本中搜尋"trend"
Trendy ADX DI+ DI- Trend Strength - BonavestTo add this indicator to your charts:
Click the 'Add to Favorite Scripts' button down below this description.
Trendy ADX is a lower indicator that is used to determine strength of trends. The DI+ and DI- lines cross one another depending on the trend direction based on the Length input with the current trend, DI line, being on top or higher.
The ADX line shows the strength of the current trend, with a value over 20 being a trend with growing strength. Trends with ADX less than 20 are said to not be strong enough to be traded as well as if the ADX is less than both the DI+ and DI- even though it is higher than 20.
An added number value that is not a part of the typical ADX/DI indicator is the 'Score'. This is a value that ranges from -3 to +3 including 0. This score allows you to set alerts based on Score and be alerted when a certain level is reached. The Score values are fully configureable in the Input Settings screen.
The Length setting is the only important adjustment for the indicator itself. The 3 suggested values to use are 7, 11 and 20 (default 11).
The Threshold setting is purely for visual adjustment of the yellow dashed line (default 20).
I use this indicator for:
Keeps me in a trade longer to capture long trends
Determining if the current trend has more room to continue
Filter out reversal buy/sell signals if trend is just beginning
My observations in using this indicator is to ignore reversal signals if the ADX line has not crossed above the DI+ or DI- line of the current trend (red/green background). I also expect a small pullback or sideways price action when the ADX line does cross the current trending DI line.
There are 2 Built-In Notifications already created for you and are available by simply right clicking in the indicator area and selecting:
Condition: Trendy ADX
Then 1 of the 2 Alerts:
Trend Direction Change - Score crosses 0 changing to 1 (green/UP) or -1 (red/DOWN)
Trend Strength Change - Score changes in any direction by a value of 1
How to Trade the Average Directinal Index Video: youtu.be
This adaptation was based off of the original code from @MasaNakamura.
Saral TrendSaral Trend
### Overview
The Saral Trend Indicator is a price-action-based tool designed to measure trend strength dynamically. Unlike traditional trend following indicators that rely solely on moving averages or fixed formulas, Saral Trend integrates Directional Movement, price positioning within the bar range, and volatility-adjusted trend weighting to create a clearer visualization of market momentum. By refining the classic trend following approach, this indicator provides more responsive and adaptive trend analysis across various timeframes.
### Key Features
Trend Histogram: Four types of bars indicate trend strength and momentum.
- Bullish Up: Higher than the previous bar; signals a strong uptrend; Color: Dark Blue.
- Bullish Down: Lower than the previous bar; suggests weakening momentum in an uptrend; Color: Light Blue.
- Bearish Up: Higher than the previous bar; signals a strong downtrend; Color: Dark Red.
- Bullish Down: Lower than the previous bar; suggests weakening momentum in a downtrend; Color: Light Red.
Trend Strength Line: A smoothed reference line that provides additional confirmation of momentum strength.
- When histogram bars are above this line, the trend is strong.
- When they fall below, momentum weakens.
Trend Pause Dots: Appear when the trend shows signs of temporary exhaustion, suggesting a possible short-term pause or reversal.
- A bullish pause dot on a bearish bar indicates a temporary halt in an uptrend before continuation or a reversal.
- A bearish pause dot on a bullish bar indicates a temporary halt in a downtrend before continuation or a reversal.
Oscillator Functionality: No fixed upper limit, but extreme bar values (e.g., above 100) suggest overbought or oversold conditions.
### Calculation Methodology
Analyzing Price Movement:
- The indicator calculates the difference between the highest and lowest prices over a period to determine price movement.
- It smooths these values using an Exponential Moving Average (EMA) to filter out short-term noise.
Identifying Trend:
- It compares the current high and low prices with their moving averages to determine whether the market is trending up or down.
- If the high price moves further from its average compared to the low price, it indicates bullish strength. Conversely, if the low price moves further from its average compared to high price, it signals bearish strength.
Evaluating Closing Price Position:
- The indicator analyzes where the closing price is within the high-low range.
- If the closing price is near the high, bullish strength is emphasized. If it is near the low, bearish strength is given more weight.
Measuring Trend Strength:
- The indicator applies volatility based smoothing techniques to measure positive and negative trend strength separately.
- A higher positive trend value suggests strong buying pressure, while a higher negative trend value indicates strong selling pressure.
- A dynamic smoothing approach ensures trend signals remain stable while reacting quickly to market shifts.
Visualizing Trend Strength with a Histogram:
- The indicator plots a positive and negative strength in form of histogram to represent the strength and direction of the trend.
- The color of the histogram bars changes based on whether the trend is strengthening or weakening.
- Blue shades indicate bullish trends, while red shades represent bearish trends.
Trend Reversal Detection: A trend pause or potential reversal is identified when the histogram weakens sharply, with dots appearing on bars as early warnings.
### How to Use It
Trend Direction: The colors of the histogram bars provide a visual clue about the ongoing trend - whether it's bullish or bearish - allowing traders to assess market sentiment at a glance.
Trend Confirmation: When histogram bars are consistently above the Trend Strength Line, it indicates strong momentum, confirming trade direction.
Momentum Shifts: A color shift (e.g., from Dark Blue to Light Blue) suggests weakening strength, which could indicate a pullback or reversal.
Reversal Signals: Trend Pause Dots highlight areas where momentum stalls, helping traders prepare for possible reversals or consolidations.
Timeframe Flexibility:
- Long-term traders can use weekly/monthly charts for macro trends.
- Swing traders can use daily/hourly charts to capture medium-term opportunities.
- Day traders can use 15-minute or lower timeframes for precise intraday entries.
### What Makes Saral Trend Unique?
Unlike conventional trend indicators that rely solely on moving averages, Saral Trend improves upon existing methods by:
Integrating price positioning within the range to make trend strength more responsive.
Applying volatility-adjusted trend weighting, ensuring trends are measured dynamically rather than through fixed lookback periods.
Providing multiple visual cues (histogram, strength line, and pause dots) to help traders make informed decisions.
This indicator is optimized for simplicity and efficiency , making it suitable for traders across different styles, from long-term investors to intraday scalpers.
By combining trend structure, momentum shifts, and volatility adaptation , Saral Trend delivers a comprehensive and actionable trend analysis tool for TradingView users.
Power Trend [MacAlgo]Description:
The Power Trend Indicator is a sophisticated technical analysis tool that overlays on your trading charts to identify prevailing market trends. It utilizes a combination of ATR-based trend calculations, moving averages, volume analysis, and momentum indicators to generate reliable buy and sell signals. Additionally, it offers customizable settings to adapt to various trading styles and timeframes.
Key Features:
Adaptive ATR Calculation: Automatically adjusts the ATR (Average True Range) period and multiplier based on the selected timeframe for more accurate trend detection.
Dynamic Trend Lines: Plots continuous trend lines with color-coded bars to visually represent bullish and bearish trends.
Buy/Sell Signals: Generates standard and power buy/sell signals to help you make informed trading decisions.
Volume Analysis: Incorporates average buy and sell volumes to identify strong market movements.
Multiple Timeframe Support: Automatically adjusts the indicator's timeframe or allows for manual selection to suit your trading preferences.
Highlighting: Highlights trending bars for easy visualization of market conditions.
Alerts: Customizable alert conditions to notify you of potential trading opportunities in real-time.
How it Works:
1. ATR-Based Trend Calculation:
ATR Period & Multiplier: Calculates ATR based on user-defined periods and multipliers, dynamically adjusting according to the chart's timeframe.
Trend Determination: Identifies trends as bullish (1) or bearish (-1) based on price movements relative to ATR-based upper (up) and lower (dn) trend lines.
2. Moving Averages:
EMA & SMA: Calculates exponential and simple moving averages to smooth price data and identify underlying trends.
AlphaTrend Line: Combines a 50-period EMA and a 30-period SMA on a 4-hour timeframe to create the AlphaTrend line, providing a robust trend reference.
3. Volume Analysis:
Buy/Sell Volume: Differentiates between buy and sell volumes to gauge market strength.
Average Volume: Compares current volume against average buy/sell volumes to detect significant market movements.
4. Momentum Indicators:
RSI, MACD, OBV: Incorporates Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and On-Balance Volume (OBV) to assess momentum and confirm trend strength.
5. Signal Generation:
Standard Signals: Basic buy and sell signals based on trend crossovers.
Power Signals: Enhanced signals requiring multiple conditions (e.g., increased volume, momentum confirmation) for higher confidence trades.
Customization Options:
Tailor the Power Trend Indicator to your specific trading needs with the following settings:
ATR Period: Set the period for ATR calculation (default: 8).
ATR Multiplier: Adjust the ATR multiplier to fine-tune trend sensitivity (default: 3.0).
Source: Choose the price source (e.g., HL2, Close) for calculations.
Change ATR Calculation Method: Toggle between different ATR calculation methods.
Show Buy/Sell Signals: Enable or disable the display of buy and sell signals on the chart.
Highlighting: Turn on or off the bar highlighting feature.
Timeframe Adjustment: Choose between automatic timeframe adjustment or manually set
the indicator's timeframe.
Manual Indicator Timeframe: If manual adjustment is selected, specify the desired timeframe (default: 60 minutes).
Visual Components:
Trend Lines: Continuous lines representing the current trend, color-coded for easy identification (green for bullish, red for bearish, orange for neutral).
Bar Coloring: Bars are colored based on the current trend and its relationship to the AlphaTrend line.
Buy/Sell Triangles: Triangular markers appear on the chart to indicate buy and sell signals.
Power Signals: Larger triangles highlight strong buy and sell opportunities based on multiple confirming factors.
Highlighting: Transparent overlays highlight trending areas to enhance visual clarity.
Alerts:
Stay informed with customizable alerts that notify you of important market movements:
SuperTrend Buy/Sell: Alerts when standard buy or sell signals are generated.
Power Buy/Sell Alerts: Notifications for strong buy or sell signals based on comprehensive conditions.
Trend Direction Change: Alerts when the trend changes from bullish to bearish or vice versa.
How to Use:
Add to Chart: Apply the Power Trend Indicator to your preferred trading chart on TradingView.
Configure Settings: Adjust the input parameters to match your trading style and the timeframe you are analyzing.
Analyze Trends: Observe the trend lines, bar colors, and AlphaTrend line to understand the current market trend.
Follow Signals: Look for buy and sell signals or power signals to identify potential entry and exit points.
Set Alerts: Enable alerts to receive real-time notifications of significant trading opportunities.
Adjust as Needed: Fine-tune the settings based on market conditions and your trading experience.
Important Notes:
Backtesting: While the Power Trend Indicator is built using robust technical analysis principles, it's essential to backtest and validate its performance within your trading strategy.
Market Conditions: The indicator performs best in trending markets. In sideways or highly volatile markets, signal reliability may vary.
Risk Management: Always employ proper risk management techniques when trading based on indicator signals to protect your capital.
Disclaimer:
This indicator is intended for educational purposes only and does not provide financial advice or guarantee future performance. Trading involves risk, and past results are not indicative of future outcomes. Always conduct your own analysis and risk management.
Cross-Asset Correlation Trend IndicatorCross-Asset Correlation Trend Indicator
This indicator uses correlations between the charted asset and ten others to calculate an overall trend prediction. Each ticker is configurable, and by analyzing the trend of each asset, the indicator predicts an average trend for the main asset on the chart. The strength of each asset's trend is weighted by its correlation to the charted asset, resulting in a single average trend signal. This can be a rather robust and effective signal, though it is often slow.
Functionality Overview :
The Cross-Asset Correlation Trend Indicator calculates the average trend of a charted asset based on the correlation and trend of up to ten other assets. Each asset is assigned a trend signal using a simple EMA crossover method (two customizable EMAs). If the shorter EMA crosses above the longer one, the asset trend is marked as positive; if it crosses below, the trend is negative. Each trend is then weighted by the correlation coefficient between that asset’s closing price and the charted asset’s closing price. The final output is an average weighted trend signal, which combines each trend with its respective correlation weight.
Input Parameters :
EMA 1 Length : Sets the period of the shorter EMA used to determine trends.
EMA 2 Length : Sets the period of the longer EMA used to determine trends.
Correlation Length : Defines the lookback period used for calculating the correlation between the charted asset and each of the other selected assets.
Asset Tickers : Each of the ten tickers is configurable, allowing you to set specific assets to analyze correlations with the charted asset.
Show Trend Table : Toggle to show or hide a table with each asset’s weighted trend. The table displays green, red, or white text for each weighted trend, indicating positive, negative, or neutral trends, respectively.
Table Position : Choose the position of the trend table on the chart.
Recommended Use :
As always, it’s essential to backtest the indicator thoroughly on your chosen asset and timeframe to ensure it aligns with your strategy. Feel free to modify the input parameters as needed—while the defaults work well for me, they may need adjustment to better suit your assets, timeframes, and trading style.
As always, I wish you the best of luck and immense fortune as you develop your systems. May this indicator help you make well-informed, profitable decisions!
The Forexation: Super Trend SignalsOverview:
The Forexation: Super Trend Signals (STS) indicator was crafted to enhance visualization of market trends by integrating multiple technical analysis tools and adding logic to them so they color bullish, bearish, counter trends, and cautious trends. By combining standard and higher-timeframe Supertrends with dynamic EMAs and VWAP, STS offers a multi-dimensional view of market dynamics. This synergy allows traders to:
Assess Trend Strength and Alignment
Identify Momentum Shifts and Reversals
Gauge Market Sentiment through Volume-Weighted Pricing
Filter Out Market Noise for Clearer Signals
Key Features and Synergy:
1. Dual Supertrend Analysis:
Standard Supertrend:
Utilizes the Average True Range (ATR) and a multiplier factor to detect immediate market trends.
Customizable ATR Length and Factor to adjust sensitivity to market volatility.
Used as a guide to help follow the trend and identify where if price breaks through we can be reversing trend or entering a counter/cautious trend.
Higher Time Frame (HTF) Supertrend:
Integrates Supertrend data from a higher timeframe for a broader market perspective.
Smoothing applied via an EMA to reduce lag and false signals.
**Synergistic Effect:
Trend Alignment: By analyzing both standard and HTF Supertrends, STS identifies when short-term trends align with long-term trends, increasing the reliability of trend signals.
Dynamic Adjustments: Traders can adjust parameters to fine-tune the balance between responsiveness and stability.
2. Customized EMAs with Contextual Color-Coding:
Fast and Slow EMAs:
Customizable periods to match different trading strategies and timeframes.
EMAs are used to identify momentum shifts and potential reversals through crossovers.
Dynamic Color-Coding:
EMA lines change color based on their relationship with each other, the Supertrends, and VWAP.
Visual Interpretation:
Bullish Alignment: Fast EMA above Slow EMA, both above Supertrend and VWAP, signals strong upward momentum.
Bearish Alignment: Fast EMA below Slow EMA, both below Supertrend and VWAP, signals strong downward momentum.
Caution Zones: Misalignment or crossovers indicate potential reversals or consolidation.
**Synergistic Effect:
Momentum Confirmation: EMA crossovers are validated against Supertrend directions, reducing false signals.
Support and Resistance Zones: The area between EMAs acts as dynamic support/resistance, visualized through an optional fill.
3. VWAP Integration for Volume-Weighted Insights:
VWAP Analysis:
Calculates the average price weighted by volume, providing insights into institutional trading levels and market sentiment.
**Synergistic Effect:
Trend Validation: Confirms trend strength by analyzing whether price and EMAs are above or below VWAP.
Counter-Trend Detection: Identifies potential pullbacks or reversals when price interacts with VWAP against the prevailing trend of the standard and higher time frame SuperTrend.
4. Composite Signal Generation:
Color-Coded Market Conditions:
Bullish Signals (Green): Strong upward trends with alignment across standard + HTF Supertrend, EMAs, and price above VWAP.
Bearish Signals (Red): Strong downward trends with inverse alignment.
Caution State (Orange): Potential market reversals or uncertainty when indicators are misaligned. (Example: price above VWAP but under HTF SuperTrend)
Counter-Trend Conditions (Yellow): Signals possible pullbacks or consolidations when price or EMAs cross VWAP. (Example: Price is above VWAP & HTF SuperTrend but the EMAs and Standard SuperTrend are in a down trend)
**Synergistic Effect:
Enhanced Signal Accuracy: By requiring multiple confirmations across different indicators and timeframes, STS filters out noise and increases the probability of trends in the market.
Timely Alerts: Alerts are generated when critical conditions are met, keeping traders informed of significant market movements.
Underlying Concepts and Calculations:
Supertrend Algorithm:
Calculation:
Supertrend is calculated using ATR to set a dynamic trailing stop that follows price movements.
The indicator switches between bullish and bearish modes when price crosses the Supertrend line.
Customization:
ATR Length and Factor can be adjusted to make the Supertrend more or less sensitive to price changes.
In STS: Both standard and HTF Supertrends are used, with the HTF providing longer-term trend context.
Exponential Moving Averages (EMAs):
Calculation:
EMAs apply more weight to recent prices, making them more responsive than Simple Moving Averages (SMAs).
Crossovers between Fast and Slow EMAs signal potential momentum shifts.
Customization:
Periods for Fast and Slow EMAs are user-defined to suit different trading styles.
In STS: EMA behavior is analyzed in conjunction with Supertrend and VWAP to validate signals.
Volume Weighted Average Price (VWAP):
Calculation:
VWAP accumulates total dollars traded (price times volume) divided by total volume over a specific period.
Reflects the average price at which the instrument has traded throughout the day based on both price and volume.
**In STS:
VWAP serves as a dynamic support/resistance level.
Interaction with VWAP can indicate shifts in market sentiment, especially when combined with other indicators.
Justifying the Value of STS:
Holistic Market Analysis:
STS doesn't just merge indicators; it creates a cohesive system where each component validates and enhances the others.
This integrated approach offers a more reliable analysis than using individual indicators in isolation.
Customizable and Adaptive:
Traders have control over key parameters, allowing STS to be tailored to different markets and trading styles.
The ability to adjust sensitivity helps in adapting to varying market conditions.
Enhanced Decision-Making:
By providing clear visual cues and alerts, STS aids in quick interpretation of complex market data.
The indicator helps in identifying high-probability trend opportunities and managing risk effectively with trailing SuperTrend guidance.
Unique Signal Filtering:
The combination of multiple confirmations reduces the likelihood of false trend signals.
The use of higher timeframe data and volume-weighted analysis adds depth to trend assessment.
How to Use STS Effectively:
1. Configuring Settings:
Supertrend Settings:
Adjust ATR Length and Factor to set the desired sensitivity.
Select the Higher Time Frame for the HTF Supertrend to align with your trading horizon.
Set the Smoothing Period for the EMA applied to the HTF Supertrend.
EMA Settings:
Define periods for Fast and Slow EMAs based on your strategy.
Ensure the Fast EMA period is shorter than the Slow EMA for effective crossovers.
Color and Display Settings:
Customize colors for different market conditions to enhance visual clarity.
Choose whether to display the HTF Supertrend, EMA lines, EMA fill, and VWAP.
2. Interpreting Signals:
Bullish Scenario:
Supertrends indicate an uptrend.
Fast EMA crosses above Slow EMA, both trending upwards.
Price and EMAs are above VWAP.
Action: Consider long positions, using the standard Supertrend as a trailing stop.
Bearish Scenario:
Supertrends indicate a downtrend.
Fast EMA crosses below Slow EMA, both trending downwards.
Price and EMAs are below VWAP.
Action: Consider short positions. using the standard Supertrend as a trailing stop
Caution and Counter-Trend Signals:
Misalignment between indicators or color changes to orange/yellow.
Action: Exercise caution, tighten stops, or wait for clearer signals.
4. Setting Up Alerts:
Access the Alerts menu.
Configure alerts for:
Supertrend Direction Changes
EMA Crossovers
Price Crossing VWAP
Set alert actions and ensure they trigger on confirmed data by selecting "Once Per Bar Close."
Example Trading Strategies:
Trend Following:
Use STS to identify strong trends where all indicators are aligned.
Enter positions in the direction of the trend.
Use Supertrend lines as dynamic stop-loss levels.
Pullback Entries:
Wait for price to pull back to the EMA fill area or VWAP in a prevailing trend.
Look for bounce signals off these levels when supported by Supertrend direction.
Counter-Trend Opportunities:
Identify potential reversals when caution or counter-trend signals appear.
Confirm with additional analysis or indicators before taking positions against the main trend.
Disclaimer:
This indicator is intended to aid in technical analysis and should be used as part of a comprehensive trading strategy. It does not guarantee profits and carries the risk of loss. Trading financial instruments involves significant risk; please consult with a qualified financial advisor before making any investment decisions. Past performance is not indicative of future results.
Final Notes:
The Forexation: Super Trend Signals (STS) indicator represents a thoughtfully engineered tool that brings together multiple technical elements to provide a more nuanced understanding of market behavior. By leveraging the strengths of Supertrend, EMAs, and VWAP in unison, STS aims to enhance trading precision and confidence in the trends the market creates but also guide risk management levels for managing a trade and stop loss areas.
We are committed to continuous improvement and value user feedback. Please share your experiences and suggestions to help us refine the indicator further.
Happy Trading!
Trendlines (long)Hi all!
I hope that this indicator helps you to be a more efficient trader. The concept is well known and useful. So this is not some magic algorithm founded by me, but rather a well known concept. The concept is the drawing of trendlines.
It draws trendlines that has a retest. It draws the trendlines in different colors, the colors used are blue, red, fuchsia and lime.
These are the steps for finding a trendline:
1. Find a generic retest
Find a low that has 2 earlier lows and 1 later low that are higher. This is the reason that a trendline will be created "1 bar late". This is the base and the indicator goes on from here, meaning that this needs to be true to continue.
2. Find an uptrend
Look back 8 bars to find a low that is lower than the retest low.
3. Create the first point of a trendline
Go thru every bar between the user defined "Lookback" and the retest bar (minus the user defined "Skip gap" that's needed between points to create a trendline). From the earliest bar to the latest.
4. Create the second point of the trendline
Go thru every bar between the retest bar and the the first point (bar) minus the "Skip gap". From latest bar to the earliest. A trendline between the two bars are invalidated if some of the criteria are met in-between the bars creating the trendline:
- closed above the trendline (trendline broken)
- is not within the retest bar
- the slope of the trendline is upwards (this indicator is for long entries only)
- at least 1 of the bars creating the retest (1 main bar and 2 earlier bars) has NOT been above the trendline
- is not the created trendline (between the two points) that's closest to the low of the retest bar
TODO:
- add functionality to draw trendlines directly on breakouts
- add volume (high volume needed to create a trendline from a breakout/retest)
- ...?
I hope this explanation makes sense, let me know otherwise. Also let me know if you have any suggestions on improvements.
Best of luck trading!
Trend Channels (MTF) | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Trend Channels (MTF) indicator! Latest trends play an important role for traders and sometimes it can be hard to spot trends in other timeframes. This indicator can plot latest trend channels across different timeframes, so you can spot trends and their channels easier. More info about the process in the "How Does It Work" section.
Features of the new Trend Channels (MTF) indicator :
Plot Trend Channels Across Up To 3 Different Timeframes
Broad Customizability Of Trend Detection
Variety Of Trend Invalidation Options
High Visual Customizability
🚩UNIQUENESS
While the detection of trend channels is a common concept among traders, trend channels across different timeframes can be as crucial as the ones in the current timeframe. This indicator can find them from up to 3 different timeframes. While the general settings will perform well enough most of the time, the indicator also provides fine-tuning options for trend detection and trend invalidation for more experienced traders.
📌 HOW DOES IT WORK ?
Trend channels occur when the price of an asset starts making a strong movement in a bullish or a bearish direction. This indicator detects trend channels using the Simple Moving Average (SMA). When the slope of the SMA line exceeds the user-defined size, a trend channel will occur.
To understand how individual settings work, you can check the "⚙️SETTINGS" section.
⚙️SETTINGS
1. General Configuration
SMA Length -> Determines the length used in the SMA function. Higher values mean that an average of a longer timespan will be taken into account when spotting trends.
Slope Length -> Used while finding the slope of the trend channel. Check this example for slope length :
ATR Size -> This setting is taken into calculation while checking if a trend channel is worth plotting. The higher this setting is, the higher the slope of the trend channel must be to get rendered. You can take a look at the chart provided above for a visual explanation.
Channel Expander -> When a trend channel occurs, the top and the bottom of the channel are initally determined by the latest highest highs / lowest lows. This setting expands the channel vertically by X times Average True Range (ATR). Check this example :
Trend Invalidation -> The trend channel gets invalidated when the bar closes / wicks above the top of the channel, or below the bottom of the channel. With this setting, you can switch the behaviour between bar close / bar wick.
Avoid False Invalidation -> This setting makes it harder for trend channels to get invalidated to prevent false invalidations.
Retries : The trend channel will have 5 chances for invalidation. First 4 invalidations will not invalidate the channel. The trend channel will only invalidate once the 5th invalidation occur.
Volume : The bar that invalidates the trend channel must have a volume higher than 1.5x the average bar volume of the current chart. Otherwise the trend channel will not be invalidated.
None : The trend channel will invalidate at the first invalidation.
Trend Change IndicatorThe Trend Change Indicator is an all-in-one, user-friendly trend-following tool designed to identify bullish and bearish trends in asset prices. It features adjustable input values and a built-in alert system that promptly notifies investors of potential shifts in both short-term and long-term price trends. This alert system is crucial for helping less active investors correctly position themselves ahead of major trend shifts and assists in risk management after a trend is established. It's important to note that this indicator is most effective with assets that historically exhibit strong trends.
At the heart of this tool is the interaction between the 30-day and 60-day Exponential Moving Averages (EMA). A bullish trend is indicated in green when the 30-day EMA is above the 60-day EMA, while a bearish trend is signaled in red when the 30-day EMA is below the 60-day EMA. The appearance of gray alerts users to potential shifts in the current trend as the EMAs converge, falling below the Average True Range (ATR) safety margin. This analysis is conducted across both hourly and daily timeframes, with the 4-hour timeframe providing early signals for daily trend changes. The band visually represents the interaction between the daily EMAs and is also displayed in the second row of the table, with the first row showing the same EMA interaction on the 4-hour timeframe.
This indicator also includes a 140-day (20-week) Simple Moving Average (SMA), visually represented by a line with predictive dots. This feature significantly enhances the investor's ability to understand long-term trends in asset prices, offering forward-looking insights by projecting the SMA value 10 days into the future. The value of this forecast lies in interpreting the slope of the dots; upward trending dots suggest a bullish underlying trend, while downward trending dots indicate a bearish trend. Generally, prices above the SMA signal bullishness, and prices below indicate bearishness.
In summary, the Trend Change Indicator is a comprehensive solution for identifying price trends and managing risk. Its intuitive, color-coded design makes it an indispensable tool for traders and investors who aim to be well-positioned ahead of trend shifts and manage risk once a trend has been established. While it has proven historically valuable in trending markets such as cryptocurrencies, tech stocks, and commodities, it is advisable to use this indicator in conjunction with other technical analysis tools for a more comprehensive and well-rounded decision-making process.
Trendlines [TradesAI]What is it?
This indicator allows the user to pick any Candle (preferably a Pivot, for better results) to draw the most relevant Trendlines from it as Origin, while keeping track of candle closes across these Trendlines to adjust or invalidate accordingly.
It allows for up to 2 Origins to be picked on chart. Remember to pick a Bullish candle to draw Downtrends, and a Bearish candle to draw Uptrends. The algorithm will draw the most suitable Active Trendlines from those Origin points.
How does it do it?
The indicator takes the Origin point as the first point of the Trendline, then starts looking for the immediate next same-type candle (Bullish to Bullish or Bearish to Bearish), to draw the Trendline between the Origin candle and this newer candle.
An Uptrend is a ray connecting two Bearish candles, as long as the second candle has a Low higher than the Low of the Origin (first) candle. A Downtrend is a ray connecting two Bullish candles, as long as the second candle has a High lower than the High of the Origin (first) candle.
Upon drawing, the indicator then starts monitoring and adjusting this Trendline, by keeping the Origin always the same, but changing the second point. The goal is to keep reducing the slope of the Trendline till it is at 0 degrees (horizontal line). That then makes the Trendline "Final".
So, the algorithm has 3 States for the Trendlines:
Initial: not tested, meaning price hasn't yet broken through it and closed a candle beyond it, to cause a re-adjustment of this Trendline.
Broken: candle Hard Closed (its Open and Close) across it but still the direction of the Trend is maintained with a new Trendline from the same Origin – could be replaced (or kept on chart as "Backside", which is what we call a Broken Trendline to be tested from the opposite side) with a new Trendline from the same Origin, to the newest candle that caused the break to happen, as then it becomes the new second point of that trendline.
Final: candle Hard Closed across it and can't draw a new Trendline from the same Origin maintaining the direction of the Trend (so an uptrend becomes a downtrend or a downtrend becomes an uptrend at this point, which is not allowed). This marks the end of Trendline adjustment for that Origin.
To summarize the algorithm, imagine starting from a candle and drawing the trendline, then keep re-adjusting it to make its slope less and less, till it becomes a horizontal line. That's the final state.
Unlike traditional trendline tools, this indicator takes into account numerous rules for each candlestick to determine valid support and resistance levels, which act as Liquidity Zones.
What does it do differently?
Unlike conventional trendline tools, this indicator allows the user to pick the Pivot point as Origin, then automatically recognizes and extends lines from them as Liquidity Zones where a reaction is expected. Moreover, the indicator monitors those trendlines in real-time to switch them from Buying to Selling zones, and vice-versa, as price structure changes.
Features
Log vs. Linear scale switch to show different trendlines accordingly. When updating the Trendlines, or deciding whether Touches/Hard Closes are met, it makes a difference.
Ability to show all forms of Trendlines, Final Trendlines or just Backside Trendlines.
Why is it used?
For experienced traders, it offers the advantage of time-efficiency, while new traders can bypass the steep learning curve of drawing trendlines manually, which could practically be drawn between any two candlesticks on the chart (unlimited variations).
Trend Lines [LuxAlgo]Our new "Trend Lines" indicator detects and highlights relevant trendlines on the user chart while keeping it free of as much clutter as possible.
The indicator is thought for real-time usage and includes several filters as well as the ability to estimate trendline angles.
🔶 USAGE
Trendlines can act as support/resistance, with a higher number of tests indicating a more significant support/resistance role.
A broken TrendLine can be indicative of a potential trend reversal. The script highlights breaks with a label.
Users can additionally filter trendlines, only showing trendlines whose angles fall within a user set range:
This allows for the removal of potential clutter from the chart but also helps keep steeper or more horizontal trendlines.
🔶 DETAILS
When a swing (pivot point) is found, a Trendline is drawn when certain conditions are fulfilled.
An essential condition is that a Bearish Trendline (red) always occurs on a lower high, while a Bullish Trendline (blue) occurs on a higher low.
Our implementation will first show an initial dotted-styled TrendLine on confirmation, after which a solid-styled secondary TrendLine will develop. The latter will be used for the real-time detection of breaks at that line:
Furthermore, the script allows you to add more conditions:
🔹 Length (Swings)
A swing develops when a high/low is the highest/lowest against x highs/lows on the left AND right of that bar. x can be set by "Length" in settings.
The following images clarify this. The script confirms a swing where the yellow flag is shown; the high (here visualized with a purple label) is the highest point against x bars left and right of that point.
At that moment, this swing is checked against the previous swing. If all conditions are fulfilled, an initial TrendLine is drawn on confirmation.
After that point, a secondary thicker solid line is seen which keeps progressing bar after bar, until:
• a new TrendLine is formed
• the TrendLine is broken
🔹 Breaks between Swings
Once there is confirmation that a TrendLine can be drawn, the script allows you to filter for breakthroughs on that line. This can be set with "Check breaks between"
Disabled : the initial TrendLine is allowed to be pierced:
Check breaks between point A - point B : no breaks are allowed between both Swing points:
Point A - Current bar : no breaks are allowed between the first Swing point and the point of confirmation ('current' bar):
🔹 TrendLine breaks
As mentioned, the secondary TrendLine (solid line) progresses bar after bar until a new TrendLine is formed or the TrendLine is broken. When a TrendLine is broken, the TrendLine stops progressing, but if there isn't a new TrendLine and price return back, the TrendLine will re-appear, potentially giving several signals when the TrendLine is broken again.
Minimal bars allow you to regulate the amount of signals when the TrendLine is broken.
-> The secondary TrendLine must be uninterrupted for at least x bars before a potential break can be considered.
The following example shows 1 signal against 3 by adjusting this setting from 2 to 5:
🔹 Angles
Angles should normally be calculated when the units of the X and Y axis are the same. However, on our charts, the unit of the X-axis is bar_index (bars), and on the Y-axis the unit is price (¥, €, £, $,...).
It is not easy to normalize and create reasonably valid angles. Often certain angle calculations can differ through price changes or volatility.
Our calculate_slope() function tries to make corresponding angles through all bars.
We do this by calculating the difference between the highest/lowest price values in a certain bar range. The bar range is our X-axis, and the price difference is our Y-axis.
Zooming in/out will not change the amount of bars or the price. Since it does change our view on the chart, and thereby how we see the angles, we have included a setting where you can personalize the ratio between X and Y-axis (Angles -> Ratio X-Y axis).
Settings: Angles - Ratio X-Y axis:
🔶 SETTINGS
🔹 Swings
Length: Lookback period for the detection of swing points.
🔹 Trendline validation
Check breaks between :
Disabled : the initial TrendLine is allowed to be pierced
Check breaks between point A - point B : no breaks are allowed between both Swing points
Point A - Current bar : no breaks are allowed between the first Swing point and the point of confirmation ('current' bar)
Source (breaks) : Source which invalidates TrendLine, default: close
🔹 TrendLine breaks
Minimal bars : The secondary TrendLine must be uninterrupted for at least x bars before a potential break can be considered.
🔹 Angles
Show : Toggle labels.
Ratio X-Y axis : Every user has his preferences regarding zoom, chart layout,...
If the shown angles are not according to your expectations, you can adjust this number.
Only TrendLine between : Only allow TrendLines between the minimum and maximum degrees. Set only the minimal and maximum values above 0.
Trend Following with Dynamic Price ZonesThis script provides a complete framework for following trends , especially on those assets which are sufficiently liquid and don't go through random spikes.
Since it is a trend-following system, it works well during trends only. However, I cannot claim any numbers since the execution requires some discretion at the user's end. This framework can also be combined with other technical tools such as trend lines to increase its efficacy.
Features:
Dynamic Price Zones:
• The Dynamic Price Zones (DPZ) are determined using a proprietary logic that incorporates price movement and certain other factors.
• These zones change more rapidly than conventional support and resistance (S/R) zones, which is why I have named them "Dynamic".
• DPZs can serve as support and resistance zones and help with trend identification to some extent.
• The upper boundary of a zone is called Dynamic Price Zone High (DPZ-H) , while the lower boundary is called Dynamic Price Zone Low (DPZ-L) .
Colour Bars:
• Candle colours are based on another proprietary logic, independent of dynamic price zones .
• These are not traditional moving average-based coloured bars, which is evident from the presence of uncoloured bars in between.
• The uncoloured bars indicate periods of uncertain trends .
• Colour functionality helps in smoothening the trend and assists in riding it for as long as possible.
Stats Table:
• RSI
• VWAP
• % Change from the previous day's closing
• Dynamic Price Zone High (DPZ-H) value
• Dynamic Price Zone Low (DPZ-L) value
Settings:
• DPZs are displayed as horizontal lines with background fill by default, but users can toggle lines and background fill on or off.
• Bar colours can be customized according to user preferences.
• The table can be enabled or disabled based on user input.
• The position of the table can be changed based on 4 available options: Top Left, Top Right, Bottom Left, and Bottom Right.
• Users can toggle individual table fields on or off . For example: If the user wants to hide "Vwap" and "%Change" values, he can turn them off. In that case, only 3 fields will be displayed on the table without occupying additional space.
• Background and text colours for each field of the table can be customized based on user preferences.
How to Use the Dynamic Price Zones:
• When the price is above a DPZ, it indicates a bullish trend , suggesting the possibility of higher prices. These zones are termed Bullish DPZs.
• Conversely, if the price is below a DPZ, it signals a bearish trend , with an expectation of lower prices. These zones are termed Bearish DPZs.
• In a trending market, when the price returns to a previous DPZ, it can present a trading opportunity in the direction of the prior trend (e.g., if the market is falling and the price returns to a previous DPZ, it is likely to reject it).
• Consecutive ascending DPZs indicate a shift in buyers from lower to higher levels and can provide buying opportunities. This also indicates a period of a strong bullish trend.
• Similarly, consecutive descending DPZs indicate a shift in sellers from higher to lower levels and can provide selling opportunities. This also indicates a period of a strong bearish trend.
• Please note that we must be flexible when determining the consecutive zones. For example: There may be a few smaller bearish DPZs in between the bullish DPZs but if the area is dominated by the bullish DPZs then we can consider the zones as consecutive. Similar is true for bearish consecutive zones.
• Closely stacked or adjacent zones suggest that prices will likely remain within a range, moving sideways.
• Wider zones act as big hurdles and, the price may struggle to cross them. They may also lead to a sideways movement.
• Zones that remain clean and untested for several sessions are likely to act as strong support or resistance when the price revisits them.
Bullish Examples:
Bearish Examples:
Some Examples of the Complete System
Trend follower system combined with Trendlines
Special Thanks
I would like to extend my special thanks to all the experts whose lectures and blogs I have studied to gain a limited yet significant knowledge of the Pine language.
Best regards,
Rajat Kumar Singh (@johntradingwick)
Community Manager (India), TradingView.
{20}Dashboard Trendlines & Wedge_Pro[vn]This is a script about 20 trading pairs with trendline.
-on each chart of a trading pair, there is only one trendline pair: 1 uptrendline and 1 downtrendline
-so when the statistics on the table also show the column of the uptrend and the column of the downtrend
-When the price approaches any trendline but the ratio is 1%, that trendline will be colored blue (downtrend), red (uptrend)
The column ✎ T.line-trendline above(✐ T.line-trendline below) is the value of the current trendline compared to the closing price of the candle
The ══════\n\𝖗𝖊𝖘𝖎𝖘𝖙𝖆𝖓(𝖘𝖚𝖕𝖕𝖔𝖗𝖙\n\══════) column when the price breaks will show ➊ (the is the first candle) and the percentage value when breaking through the point of the trendline.
Especially when a candle has closed above the trendline (assuming an uptrend), then from the 2nd tree to the current , it will count according to memory so that traders know when the price broke, and how many candles already.
The parameter when breaking is displayed < 10, it means that the price has broken through 10 candles, and the first 10 candles are colored yellow, then the color returns to normal.
In addition, when displaying 3 parameters as above, the next column (above/below T.line) will display the percentage from when the price breaks that point to the current price of the candle.
Wedge column is when the price is stuck between the upper and lower trendlines, if the sharp angle ratio is <=10%, the new column will show the value (and the text color is white) until it breaks to the bottom. 1 direction is left is hidden
Price column is the current price of the candle and the parameter 20:2 is the length of the trendline and to combine the same parameter with the indicator "Trendlines_pro "
You can change the time in Resolution indicator settings to show multiple time display the same cell as the price cell
The up arrow icons 🡹 represent the price broke upwards , the down arrows 🡻 represent the price broke below
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Vietnamese
Đây là script về bảng thống kê 20 cặp giao dịch với đường trendline .
-trên mỗi biểu đồ của cặp giao dịch chỉ tồn tại duy nhất 1 cặp trendline là: 1trendline tăng và 1 trendline giảm
-vì vậy khi thống kê trên bảng cũng hiển thị cột của trend tăng và cột của trend giảm
-khi giá tiến gần đến 1 đường trendline bất kì mà tỉ lệ còn 1% thì đường trendline đó tô màu xanh(trend giảm) ,màu đỏ(trend tăng)
-cột ✎ T.line-đường trendline bên trên(✐ T.line-đường trendline bên dưới) là giá trị của đường trendline hiện tại so với giá đóng cửa của nến
-cột ══════\n\𝖗𝖊𝖘𝖎𝖘𝖙𝖆𝖓(𝖘𝖚𝖕𝖕𝖔𝖗𝖙\n\══════) khi giá phá vỡ sẽ thể thiện ➊(tức là cây nến đầu tiên) và giá trị phần trăm khi phá qua điểm của trendline.
-đặc biệt khi 1 cây nến đã đóng cửa trên đường trendline(giả sử trend tăng) thì từ cây thứ 2 đến hiện tại nó sẽ đếm theo bộ nhớ để các trader biết được giá đã phá khi nào,và qua bao nhiêu nến rồi.
-thông số khi phá vỡ hiển thị < 10 thì hiểu là giá đã phá vỡ qua 10 nến, và 10 nến đầu tiên được tô màu vàng ,sau đó màu trở lại trạng thái bình thường
-ngoài ra khi hiện thông số như trên thì cột bên cạnh (above/below T.line) sẽ hiển thị được số phần trăm tính từ khi giá phá vỡ điểm đó đến giá hiện tại của cây nến.
-cột Wedge(cái nêm) là khi giá đang bị kẹt giữa 2 đường trendline trên và dưới ,nếu tỷ lệ góc nhọn <=10% thì cột đó mới hiện giá trị (và màu chữ là trắng) cho đến khi phá vỡ về 1 hướng nào đó còn lại là bị ẩn
-cột giá là giá hiện tại của nến và thông số 20:2 là độ dài đường trendline và để kết hợp cùng thông số với chỉ báo "Trendlines_pro "
-các bạn có thể thay đổi thời gian trong cài đặt chỉ báo Resolution để hiển thị nhiều cung thời gian hiển thị cùng ô với ô giá
-các biểu tượng mũi tên lên 🡹 thể hiện giá phá vỡ lên trên ,mũi tên xuống 🡻 thể hiện giá đã phá vỡ xuống dưới
Cảm ơn mọi người đã quan tâm và tin dùng
Trend Oscillatorwhat is "Trend Oscillator"?
it is an indicator for determining the trend.
what it does?
analyzes the price action by reducing it to 4 different situations. Red means strong bear, orange means bearish, yellow means weak bull and green means strong bull. It was developed to help traders who trade in the direction of the trend and its biggest promise is to simplify price action.
how it does it?
He defines 4 different situations as follows. If the velocity of the price is positive and the acceleration is positive, it is a strong bull, if the velocity is positive and the acceleration is negative, it is a weak bull, if the velocity is negative and the acceleration is positive, it is a weak bear, if both velocity and acceleration are negative, it is a strong bear.
2 for strong bull
1 for the weak bull
-1 for weak bear
Creates a function that takes values of -2 for the strong bear. this function is the velocity of the principal indicator, and then the integral of this function forms the principal indicator.
how to use it?
"source" is used to change the source of the indicator,
"length" makes the indicator give a later but less signal.
you can use it to follow or analyze the trend. colors make it easy to use. learns about current or past trends by looking at colors. Like any trend indicator, it can give unsuccessful signals in a horizontal trend.
Trending Bollinger Bands by SiddWolfBollinger Bands are mostly used for trend reversal. I believe they should be used for Trend Continuation and Trend Confirmation.
In this Trending Bollinger Bands script you will see two bands drawn on chart. The Upper band is suggestive of Uptrend and Lower Band is suggestive of Downtrend Market. It just provides the guidance of where the market is now and where it is headed. It is not to be used as a standalone indicator. Use this to confirm your hypothesis of Uptrend or Downtrend.
Bollinger Bands Trend
When the price crosses the moving average it is interpreted as the price is gonna continue in that direction. But most of the time it is a fake breakout. With this script you get an additional confirmation so that you know it is not a fake breakout and the price have caught the trend.
Bollinger Bands Reversal:
This indicator can also work for reversal. For example when price closes outside the outer bands, it is most likely that the trend is gonna reverse. Don't just enter the trade wait for some other confirmation as reversal trading is more complicated.
Confluence:
Confluence is the key factor for profitable trading. Don't use this indicator as standalone indicator instead combine it with other indicators and price action. Like the divergence occurring when the price is outside the bands is suggestive of trend reversal. I have created a non-delay, non-repaint indicator for finding divergence. I'd soon publish that script. Stay tuned.
Settings is the Key:
Try to play around with the settings. It is a simple yet effective indicator. Change the moving average type or length. I've found moving average RMA or WMA works better than SMA. Find the best setting that works with your setup. Set the Band Source as High/Low to make the outer bands more extreme.
Conclusion:
This is my first script but it isn't my last. I've created quite a few gems that I'm gonna publish soon. If you have any questions or suggestions feel free to comment below. I'd love to connect with you. Thank you.
Higher Timeframe Trend Indicator V3.0What is it?
An indicator that depicts the trend of up to 5 higher timeframes on the same chart without needing to context-switch between charts.
Features
- Supports up to 5 timeframes
- Trends indicated by 5 colored buttons: one for each timeframe
- Varying shades of green: uptrend
- Varying shades of red: downtrend
- White/silver: sideways/neutral
- Configurable length (time period) for each timeframe
- Increase length to capture long term trends; decrease it to capture only short term ones
- Configurable sensitivity for each timeframe
- Sensitivity determines what angle is considered trending and what is not
- Increase sensitivity to capture weak trends
- Decrease sensitivity to filter out weak trends and capture only strong/steep ones
- Sensitivity ranges from 1 (least sensitive) to 3 (most sensitive)
- Move the labels around vertically for better visibility by changing the "Location" and "Offset" parameters
How should one use it?
Use it to quickly browse through charts to understand the context across timeframes, and zero in on only those that have trends aligning on the higher and lower timeframes as per your strategy. For e.g., a chart that is trending up strongly on the 15min and 60min (indicated by dark green colored buttons), and trending down on the 1 and/or 5 min (indicated by red-colored buttons), can be shortlisted for a potential pullback trade. Use your favorite pullback strategy (Supply/Demand, Support/Resistance, Moving Averages, etc.) to hop in on the trend.
How are trends determined?
The indicator uses normalized %change in price of the linear regression line segment of the chosen price sources (close, high, low, MA, etc.) over a specified length to determine trend direction and intensity
Known Issues
Will indicate the trend correctly only for timeframes *higher* than the current (visible) resolution/timeframe of the chart. Might not indicate it correctly for lower timeframes ( i.e., lower than the current (visible) resolution/timeframe of the chart). For this reason, all timeframes lower than the current resolution will be hidden in the present release.
Future releases
- I am still experimenting with various sensitivity levels and the corresponding trend shades to make the tool as accurate and intuitive as possible. These modifications might come in
- Sensitivity levels might be increased.
- Bug fixes, if any
Adaptive Trend (Expo)Adaptive Trend (Expo)
DESCRIPTION
This Adaptive Trend (Expo) indicator is used to detect trends as well as to adapt to the trend characteristic in order to filter-out trend noise. Having an indicator like this enables professional traders to stay longer in trends. The indicator is also equipped with upper- and lower boundaries as well as a mid-line.
Positive trend
If the two trendlines (positive & negative trendline) emerges into one single line, it’s regarded as a positive trend. If a green cloud is painted in the indicator it’s a sign that the indicator is categorizing that price move as noise, and thus the professional trader should keep their long position, or enter Long.
Negative trend
If the two trendlines (positive & negative trendline) separates and become two lines as well as a red cloud is painted in the indicator, this is regarded as a negative trend.
As a general rule, if the ‘positive & negative trendline’ is above the midline there is a positive trend. If the ‘positive & negative trendline’ is below the midline there is a negative trend.
You have the possibility to change the ‘trendvalue’, a shorter length is more sensitive than a longer length.
HOW TO USE
1. Use the indicator to identify trends.
2. Use the indicator as a trend following strategy.
INDICATOR IN ACTION
EURUSD
EURUSD
EURUSD
BTCUSD
The indicator works with RENKO, HEIKIN ASHI and with KAGI charts as well.
I hope you find this indicator useful, and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continue to work on this indicator, so please share your experience and feedback with me so that I can continuously improve it. Thanks to everyone that have contacted me regarding my scripts. Your feedback is valuable for future developments!
ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
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Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas 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 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, 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 are only for educational purposes!
Trend Following Bundle [ActiveQuants]The Trend Following Bundle indicator is a comprehensive toolkit designed to equip traders with a suite of essential technical analysis tools focused on identifying , confirming , and capitalizing on market trends . By bundling popular indicators like Moving Averages , MACD , Supertrend , ADX , ATR , OBV , and the Choppiness Index into a single script, it streamlines chart analysis and enhances strategy development.
This bundle operates on the principle that combining signals from multiple, complementary indicators provides a more robust view of market trends than relying on a single tool. It integrates:
Trend Direction: Moving Averages, Supertrend.
Momentum: MACD.
Trend Strength: ADX.
Volume Pressure: On Balance Volume (OBV).
Volatility: Average True Range (ATR).
Market Condition Filter: Choppiness Index (Trend vs. Range).
By allowing users to selectively enable, customize, and view these indicators (potentially across different timeframes), the bundle facilitates nuanced and layered trend analysis.
█ KEY FEATURES
All-in-One Convenience: Access multiple core trend-following indicators within a single TradingView script slot.
Modular Design: Easily toggle each individual indicator (MAs, MACD, Supertrend, etc.) On or Off via the settings menu to customize your chart view.
Extensive Customization: Fine-tune parameters (lengths, sources, MA types, colors, etc.) for every included indicator to match your trading style and the specific asset.
Multi-Timeframe (MTF) Capability: Configure each indicator component to analyze data from a different timeframe than the chart's, allowing for higher-level trend context.
Integrated Alerts: Pre-built alert conditions for key events like Moving Average crossovers , MACD signals , Supertrend flips , and Choppiness Index threshold crosses . Easily set up alerts through TradingView's alert system.
When configuring your alerts in TradingView, pay close attention to the trigger option:
- Setting it to " Only Once " will trigger the alert the first time the condition is met, which might happen during an unclosed bar (intra-bar). This alert instance will then cease.
- Setting it to " Once Per Bar Close " will trigger the alert only after a bar closes if the condition was met on that finalized bar. This ensures signals are based on confirmed data and allows the alert to potentially trigger again on subsequent closing bars if the condition persists or reoccurs. Use this option for signals based on confirmed, closed-bar data.
MA Smoothing & Bands (Optional): Apply secondary smoothing or Bollinger Bands directly to the Fast and Slow Moving Averages for advanced analysis.
█ USER INPUTS
Fast MA:
On/Off: Enables/Disables the Fast Moving Average plot and related smoothing/bands.
Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA.
Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close.
Length: Lookback period for the primary MA calculation. Default: 9.
Color: Sets the color of the primary Fast MA line. Default: Yellow.
Line Width: Sets the thickness of the primary Fast MA line. Default: 2.
Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None.
Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10.
BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0.
Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true.
Slow MA:
On/Off: Enables/Disables the Slow Moving Average plot and related smoothing/bands.
Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA.
Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close.
Length: Lookback period for the primary MA calculation. Default: 9.
Color: Sets the color of the primary Slow MA line. Default: Yellow.
Line Width: Sets the thickness of the primary Slow MA line. Default: 2.
Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None.
Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10.
BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0.
Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true.
MACD:
On/Off: Enables/Disables the MACD plots (MACD line, Signal line, Histogram).
Fast Length: Lookback period for the fast MA in MACD calculation. Default: 12.
Slow Length: Lookback period for the slow MA in MACD calculation. Default: 26.
Source: Input data for the MACD MAs. Default: close.
Signal Smoothing: Lookback period for the Signal Line MA. Default: 9.
Oscillator MA Type: Calculation type for Fast and Slow MAs (SMA, EMA). Default: EMA.
Signal Line MA Type: Calculation type for Signal Line MA (SMA, EMA). Default: EMA.
MACD Color: Color of the MACD line. Default: #2962FF.
MACD Signal Color: Color of the Signal line. Default: #FF6D00.
Timeframe: Sets a specific timeframe for the MACD calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
On Balance Volume (OBV):
On/Off: Enables/Disables the OBV plot and its related MAs/Bands.
Type (MA Smoothing): Selects MA type for smoothing OBV (None, SMA, EMA, etc.) or SMA + Bollinger Bands. Default: None.
Length (MA Smoothing): Lookback period for the OBV smoothing MA. Default: 14.
BB StdDev: Standard deviation multiplier for Bollinger Bands if selected. Default: 2.0.
Color: Color of the main OBV line. Default: #2962FF.
Timeframe: Sets a specific timeframe for the OBV calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
ADX:
On/Off: Enables/Disables the ADX plot.
ADX Smoothing: Lookback period for the ADX smoothing component. Default: 14.
DI Length: Lookback period for the Directional Movement (+DI/-DI) calculation. Default: 14.
Color: Color of the ADX line. Default: Red.
Timeframe: Sets a specific timeframe for the ADX calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
ATR:
On/Off: Enables/Disables the ATR plot.
Length: Lookback period for the ATR calculation. Default: 14.
Smoothing: Selects the calculation type for ATR (SMMA (RMA), SMA, EMA, WMA). Default: SMMA (RMA).
Color: Color of the ATR line. Default: #B71C1C.
Timeframe: Sets a specific timeframe for the ATR calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
Supertrend:
On/Off: Enables/Disables the Supertrend plot and background fill.
ATR Length: Lookback period for the ATR calculation within Supertrend. Default: 10.
Factor: Multiplier for the ATR value used to calculate the Supertrend bands. Default: 3.0.
Up Trend Color: Color for the Supertrend line and background during an uptrend. Default: Green.
Down Trend Color: Color for the Supertrend line and background during a downtrend. Default: Red.
Timeframe: Sets a specific timeframe for the Supertrend calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
Choppiness Index:
On/Off: Enables/Disables the Choppiness Index plot and bands.
Length: Lookback period for the Choppiness Index calculation. Default: 14.
Offset: Shifts the plot left or right. Default: 0.
Color: Color of the Choppiness Index line. Default: #2962FF.
Timeframe: Sets a specific timeframe for the CI calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
█ STRATEGY EXAMPLES
The following strategy examples are provided for illustrative and educational purposes only to demonstrate how indicators within this bundle could be combined. They do not constitute financial advice or trading recommendations. Always conduct your own thorough research and backtesting before implementing any trading strategy.
Here are a few ways the indicators in this bundle can be combined:
1. MA Crossover with Multi-Factor Confirmation
Goal: Enter trends early with confirmation from momentum and trend strength, while filtering out choppy conditions.
Setup: Enable Fast MA (e.g., 9 EMA), Slow MA (e.g., 50 EMA), MACD, ADX, and Choppiness Index.
Entry (Long):
- Price > Slow MA (Establishes broader uptrend context).
- Fast MA crosses above Slow MA OR Price crosses above Fast MA.
- MACD Histogram > 0 (Confirms bullish momentum).
- ADX > 20 or 25 (Indicates sufficient trend strength).
- Choppiness Index < 61.8 (Filters out excessively choppy markets).
Entry (Short): Reverse logic (except for ADX and Choppiness Index).
Management: Consider using the Supertrend or an ATR multiple for stop-loss placement.
Image showing a chart with 2:1 long and short trades, highlighting a candle disqualified for a long entry due to ADX below 20.
2. Supertrend Breakout Strategy
Goal: Use Supertrend for primary signals and stops, confirming with volume and trend strength.
Setup: Enable Supertrend, Slow MA, ADX, and OBV.
Entry (Long):
- Supertrend line turns green and price closes above it.
- Price > Slow MA (Optional filter for alignment with larger trend).
- ADX is rising or above 20 (Confirms trending conditions).
- OBV is generally rising or breaks a recent resistance level (Confirms volume supporting the move).
Entry (Short): Reverse logic (except for ADX and OBV).
Management: Initial stop-loss placed just below the green Supertrend line (for longs) or above the red line (for shorts). Trail stop as Supertrend moves.
Image showing a chart with a 2:1 long trade, one candle disqualified for a short entry, and another disqualified for a long entry.
3. Trend Continuation Pullbacks
Goal: Enter established trends during pullbacks to value areas defined by MAs or Supertrend.
Setup: Enable Slow MA, Fast MA (or Supertrend), MACD, and ADX.
Entry (Long):
- Price is consistently above the Slow MA (Strong uptrend established).
- ADX > 25 (Confirms strong trend).
- Price pulls back towards the Fast MA or the green Supertrend line.
- MACD Histogram was decreasing during the pullback but turns positive again OR MACD line crosses above Signal line near the MA/Supertrend level (Indicates momentum resuming).
Entry (Short): Reverse logic (except for ADX) during a confirmed downtrend.
Management: Stop-loss below the recent swing low or the Slow MA/Supertrend level.
Image showing a chart with 2:1 long and short trades, where price pulls back to the fast MA and the MACD histogram changes color, indicating shifts in momentum during the pullbacks.
█ CONCLUSION
The Trend Following Bundle offers a powerful and flexible solution for traders focused on trend-based strategies. By consolidating essential indicators into one script with deep customization, multi-timeframe analysis, and built-in alerts, it simplifies the analytical workflow and allows for the development of robust, multi-conditional trading systems. Whether used for confirming entries, identifying trend strength, managing risk, or filtering market conditions, this bundle provides a versatile foundation for technical analysis.
█ IMPORTANT NOTES
⚠ Parameter Tuning: Indicator settings (lengths, factors, thresholds) are not one-size-fits-all. Adjust them based on the asset being traded, its typical volatility, and the timeframe you are analyzing for optimal performance. Backtesting is crucial .
⚠ Multi-Timeframe Use: Using the Timeframe input allows for powerful analysis but be mindful of potential lag, especially if Wait TF Close is disabled. Signals based on higher timeframes will update only when that higher timeframe bar closes (if Wait TF Close is enabled).
⚠ Confirmation is Key: While the bundle provides many tools, avoid relying on a single indicator's signal. Use combinations to build confluence and increase the probability of successful trades.
⚠ Chart Clarity: With many indicators available, only enable those relevant to your current strategy to avoid overwhelming your chart. Use the On/Off toggles frequently.
⚠ Confirmed Bars Only: Like most TradingView indicators, signals and plots are finalized on the close of the bar. Be cautious acting on intra-bar signals which may change before the bar closes.
█ RISK DISCLAIMER
Trading involves substantial risk of loss and is not suitable for every investor. The Trend Following Bundle indicator provides technical analysis tools for educational and informational purposes only; it does not constitute financial advice or a recommendation to buy or sell any asset. Indicator signals identify potential patterns based on historical data but do not guarantee future price movements or profitability. Always conduct your own thorough analysis, use multiple sources of information, and implement robust risk management practices before making any trading decisions. Past performance is not indicative of future results.
📊 Happy trading! 🚀
Logarithmic Regression Channel-Trend [BigBeluga]
This indicator utilizes logarithmic regression to track price trends and identify overbought and oversold conditions within a trend. It provides traders with a dynamic channel based on logarithmic regression, offering insights into trend strength and potential reversal zones.
🔵Key Features:
Logarithmic Regression Trend Tracking: Uses log regression to model price trends and determine trend direction dynamically.
f_log_regression(src, length) =>
float sumX = 0.0
float sumY = 0.0
float sumXSqr = 0.0
float sumXY = 0.0
for i = 0 to length - 1
val = math.log(src )
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
average = sumY / length
intercept = average - slope * sumX / length + slope
Regression-Based Channel: Plots a log regression channel around the price to highlight overbought and oversold conditions.
Adaptive Trend Colors: The color of the regression trend adjusts dynamically based on price movement.
Trend Shift Signals: Marks trend reversals when the log regression line cross the log regression line 3 bars back.
Dashboard for Key Insights: Displays:
- The regression slope (multiplied by 100 for better scale).
- The direction of the regression channel.
- The trend status of the logarithmic regression band.
🔵Usage:
Trend Identification: Observe the regression slope and channel direction to determine bullish or bearish trends.
Overbought/Oversold Conditions: Use the channel boundaries to spot potential reversal zones when price deviates significantly.
Breakout & Continuation Signals: Price breaking outside the channel may indicate strong trend continuation or exhaustion.
Confirmation with Other Indicators: Combine with volume or momentum indicators to strengthen trend confirmation.
Customizable Display: Users can modify the lookback period, channel width, midline visibility, and color preferences.
Logarithmic Regression Channel-Trend is an essential tool for traders who want a dynamic, regression-based approach to market trends while monitoring potential price extremes.
Dual Trendline Breakout [Splirus]This advanced trading tool leverages the power of dual pivot-based trendlines to provide traders with a superior edge in identifying potential breakout and retest opportunities. By combining two separate pivot lengths, the indicator creates both primary and secondary trendlines, enabling more robust confluence and decision-making in your trading strategy.
Key Features:
1. Dual Pivot Analysis:
Primary Trendline: Uses a shorter pivot length to capture immediate price movements and breakout scenarios.
Secondary Trendline: Employs a longer pivot length for broader trend identification and confirmation.
2. Enhanced Confluence:
The combination of short-term and long-term trendlines provides stronger signals, reducing false positives and enhancing accuracy.
3. Dynamic Visualization:
Automatically plots trendlines and extends them until they are crossed.
Distinct colors for uptrend and downtrend lines for easy interpretation.
Highlights where price breaks above or below the trendlines with bar coloring.
4. Alerts for Key Events:
Alerts are triggered for breakout and retest scenarios, ensuring you never miss critical market movements.
5. Customizable Settings:
Adjust pivot lengths, trendline colors, and visualization preferences to suit your trading style.
Optional settings for showing only the most recent trendlines, hiding crossed lines, and extending lines dynamically.
How It Works:
The indicator identifies pivot highs and lows based on the specified lengths for both primary and secondary trendlines.
When price interacts with these trendlines (breakout, retest, or cross), it highlights the event with customizable bar colors and optional alerts.
By monitoring these interactions, traders can better time their entries and exits, leveraging the dual-period analysis for stronger market confluence.
Ideal Use Cases:
Scalping: Use primary trendlines for quick trade opportunities.
Swing Trading: Combine primary and secondary trendlines for more significant market moves.
Trend Continuation or Reversal: Identify breakout confirmations or retests for confident trade setups.
This indicator is a powerful addition to any trader's toolkit, offering precision, adaptability, and actionable insights for navigating the markets with confidence.
Its closed-source design ensures that the unique advantages of the Dual Trendline identification algorithm remain exclusive to its users, providing an edge that cannot be duplicated elsewhere.
Trend Stability Index (TSI)Overview
The Trend Stability Index (TSI) is a technical analysis tool designed to evaluate the stability of a market trend by analyzing both price movements and trading volume. By combining these two crucial elements, the TSI provides traders with insights into the strength and reliability of ongoing trends, assisting in making informed trading decisions.
Key Features
• Dual Analysis: Integrates price changes and volume fluctuations to assess trend stability.
• Customizable Periods: Allows users to set evaluation periods for both trend and volume based on their trading preferences.
• Visual Indicators: Displays the Trend Stability Index as a line chart, highlights neutral zones, and uses background colors to indicate trend stability or instability.
Configuration Settings
1. Trend Length (trendLength)
• Description: Determines the number of periods over which the price stability is evaluated.
• Default Value: 15
• Usage: A longer trend length smooths out short-term volatility, providing a clearer picture of the overarching trend.
2. Volume Length (volumeLength)
• Description: Sets the number of periods over which trading volume changes are assessed.
• Default Value: 15
• Usage: Adjusting the volume length helps in capturing significant volume movements that may influence trend strength.
Calculation Methodology
The Trend Stability Index is calculated through a series of steps that analyze both price and volume changes:
1. Price Change Rate (priceChange)
• Calculation: Utilizes the Rate of Change (ROC) function on the closing prices over the specified trendLength.
• Purpose: Measures the percentage change in price over the trend evaluation period, indicating the direction and momentum of the price movement.
2. Volume Change Rate (volumeChange)
• Calculation: Applies the Rate of Change (ROC) function to the trading volume over the specified volumeLength.
• Purpose: Assesses the percentage change in trading volume, providing insight into the conviction behind price movements.
3. Trend Stability (trendStability)
• Calculation: Multiplies priceChange by volumeChange.
• Purpose: Combines price and volume changes to gauge the overall stability of the trend. A higher positive value suggests a strong and stable trend, while negative values may indicate trend weakness or reversal.
4. Trend Stability Index (TSI)
• Calculation: Applies a Simple Moving Average (SMA) to the trendStability over the trendLength period.
• Purpose: Smooths the trend stability data to create a more consistent and interpretable index.
Trend/Ranging Determination
• Stable Trend (isStable)
• Condition: When the TSI value is greater than 0.
• Interpretation: Indicates that the current trend is stable and likely to continue in its direction.
• Unstable Trend / Range-bound Market
• Condition: When the TSI value is less than or equal to 0.
• Interpretation: Suggests that the trend may be weakening, reversing, or that the market is moving sideways without a clear direction.
Visualization
The TSI indicator employs several visual elements to convey information effectively:
1. TSI Line
• Representation: Plotted as a blue line.
• Purpose: Displays the Trend Stability Index values over time, allowing traders to observe trend stability dynamics.
2. Neutral Horizontal Line
• Representation: A gray horizontal line at the 0 level.
• Purpose: Serves as a reference point to distinguish between stable and unstable trends.
3. Background Color
• Stable Trend: Green background with 80% transparency when isStable is true.
• Unstable Trend: Red background with 80% transparency when isStable is false.
• Purpose: Provides an immediate visual cue about the current trend’s stability, enhancing the interpretability of the indicator.
Usage Guidelines
• Identifying Trend Strength: Utilize the TSI to confirm the strength of existing trends. A consistently positive TSI suggests strong trend momentum, while a negative TSI may signal caution or a potential reversal.
• Volume Confirmation: The integration of volume changes helps in validating price movements. Significant price changes accompanied by corresponding volume shifts can reinforce the reliability of the trend.
• Entry and Exit Signals: Traders can use crossovers of the TSI with the neutral line (0 level) as potential entry or exit points. For instance, a crossover from below to above 0 may indicate a bullish trend initiation, while a crossover from above to below 0 could suggest bearish momentum.
• Combining with Other Indicators: To enhance trading strategies, consider using the TSI in conjunction with other technical indicators such as Moving Averages, RSI, or MACD for comprehensive market analysis.
Example Scenario
Imagine analyzing a stock with the following observations using the TSI:
• The TSI has been consistently above 0 for the past 30 periods, accompanied by increasing trading volume. This scenario indicates a strong and stable uptrend, suggesting that buying opportunities may be favorable.
• Conversely, if the TSI drops below 0 while the price remains relatively flat and volume decreases, it may imply that the current trend is losing momentum, and the market could be entering a consolidation phase or preparing for a trend reversal.
Conclusion
The Trend Stability Index is a valuable tool for traders seeking to assess the reliability and strength of market trends by integrating price and volume dynamics. Its customizable settings and clear visual indicators make it adaptable to various trading styles and market conditions. By incorporating the TSI into your trading analysis, you can enhance your ability to identify and act upon stable and profitable trends.
Trend, Chart Patterns & Market Structure Indicator [TradeDots]The "Trend, Chart Patterns & Market Structure Indicator" is engineered to identify pivotal price action points, revealing shifts in market dynamics. This tool aids traders to simplify any trading market in recognizing significant price levels, enhancing decision-making in diverse market conditions.
📝 HOW IT WORKS
Pivot Identification
The indicator detects pivots in price action using a complex mathematical model by analyzing a window of candlesticks to capture significant reversal patterns. It examines a series of bars, focusing on their open, high, low, close, and changes in these values, to pinpoint potential market turning points.
Support and Resistance Lines
Calculation: Automatically draws lines at key price pivots in bullish and bearish markets.
Significance: Aligning support and resistance levels highlights strong demand or supply zones, reinforcing trading biases. When multiple lines converge near a price level, it indicates robust support or resistance, as many traders focus on these levels for placing trades.
Chart Patterns Analysis
Formation: Utilizes four pivots to identify patterns such as ascending/descending channels, contraction, and expansion patterns.
Visualization: Background colors (green for bullish, red for bearish) help identify market trends.
Market Structure Shifts
Detection: Identifies price breakouts above or below previous support and resistance, indicating changes in market structure.
Confirmation: Highlights shifts in market character, aiding in trend reversal anticipation.
Types of Market Structure Shifts
Channel Breakout: The price breaks out from the current channel's resistance level.
Rev. Breakout: The price breaks out from a contraction pattern, moving in the opposite direction of the previous market trend.
Continuation Breakout: The price breaks out from a contraction pattern, continuing the previous market trend.
Change of Character (ChoCh): The price breaks out from either support or resistance, causing a change in the market trend.
🛠️ HOW TO USE
Chart Visualization
Color Coding: Background colors signify market trends, with green indicating bullish and red indicating bearish conditions.
Pattern Recognition: Identifies and labels patterns, providing insights into current market sentiment.
Reversal Signals
Signal Labels: Detects shifts in market structure indicating potential entry and exit points.
❗️LIMITATIONS
Market Noise: Accuracy may decrease in volatile and noisy markets.
Trend Confirmation Delay: Market trends are only confirmed once the price breaks out from support or resistance, potentially causing delays.
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only.
Trend Titan Neutronstar [QuantraSystems]Trend Titan NEUTRONSTAR
Credits
The Trend Titan NEUTRONSTAR is a comprehensive aggregation of nearly 100 unique indicators and custom combinations, primarily developed from unique and public domain code.
We'd like to thank our TradingView community members: @IkKeOmar for allowing us to add his well-built "Normalized KAMA Oscillator" and "Adaptive Trend Lines " indicators to the aggregation, as well as @DojiEmoji for his valuable "Drift Study (Inspired by Monte Carlo Simulations with BM)".
Introduction
The Trend Titan NEUTRONSTAR is a robust trend following algorithm meticulously crafted to meet the demands of crypto investors. Designed with a multi layered aggregation approach, NEUTRONSTAR excels in navigating the unique volatility and rapid shifts of the cryptocurrency market. By stacking and refining a variety of carefully selected indicators, it combines their individual strengths while reducing the impact of noise or false signals. This "aggregation of aggregators" approach enables NEUTRONSTAR to produce a consistently reliable trend signal across assets and timeframes, making it an exceptional tool for investors focused on medium to long term market positioning.
NEUTRONSTAR ’s powerful trend following capabilities provide investors with straightforward, data driven analysis. It signals when tokens exhibit sustained upward momentum and systematically removes allocations from assets showing signs of weakness. This structure aids investors in recognizing peak market phases. In fact, one of NEUTRONSTAR ’s most valuable applications is its potential to help investors time exits near the peak of bull markets. This aims to maximize gains while mitigating exposure to downturns.
Ultimately, NEUTRONSTAR equips investors with a high precision, adaptable framework for strategic decision making. It offers robust support to identify strong trends, manage risk, and navigate the dynamic crypto market landscape.
With over a year of rigorous forward testing and live trading, NEUTRONSTAR demonstrates remarkable robustness and effectiveness, maintaining its performance without succumbing to overfitting. The system has been purposefully designed to avoid unnecessary optimization to past data, ensuring it can adapt as market conditions evolve. By focusing on aggregating valuable trend signals rather than tuning to historical performance, the NEUTRONSTAR serves as a reliable universal trend following system that aligns with the natural market cycles of growth and correction.
Core Methodology
The foundation of the NEUTRONSTAR lies in its multi aggregated structure, where five custom developed trend models are combined to capture the dominant market direction. Each of these aggregates has been carefully crafted with a specific trend signaling period in mind, allowing it to adapt seamlessly across various timeframes and asset classes. Here’s a breakdown of the key components:
FLARE - The original Quantra Signaling Matrix (QSM) model, best suited for timeframes above 12 hours. It forms the foundation of long term trend detection, providing stable signals.
FLAREV2 - A refined and more sophisticated model that performs well across both high and low timeframes, adding a layer of adaptability to the system.
NEBULA - An advanced model combining FLARE and FLAREV2. NEBULA brings the advantages of both components together, enhancing reliability and capturing smoother, more accurate trends.
SPARK - A high speed trend aggregator based on the QSM Universal model. It focuses on fast moving trends, providing early signals of potential shifts.
SUNBURST - A balanced aggregate that combines elements of SPARK and FLARE, confirming SPARK’s signals while minimizing false positives.
Each of these models contributes its own unique perspective on market movement. By layering fast, medium, and slower trend following signals, NEUTRONSTAR can confirm strong trends while filtering out shorter term noise. The result is a comprehensive tool that signals clear market direction with minimized false signals.
A Unique Approach to Trend Aggregation
One of the defining characteristics of NEUTRONSTAR is its deliberate choice to avoid perfectly time coherent indicators within its aggregation. In simpler terms, NEUTRONSTAR purposefully incorporates trend following indicators with slightly different signal periods, rather than synchronizing all components to a single signaling period. This choice brings significant benefits in terms of diversification, adaptability, and robustness of the overall trend signal.
When aggregating multiple trend following components, if all indicators were perfectly time coherent - meaning they responded to market changes in exactly the same way and over the time periods - the resulting signal would effectively be no different from a single trend following indicator. This uniformity would limit the system’s ability to capture a variety of market conditions, leaving it vulnerable to the same noise or false signals that any single indicator might encounter. Instead, NEUTRONSTAR leverages a balanced mix of indicators with varied timing: some fast, some slower, and some in the medium range. This choice allows the system to extract the unique strengths of each component, creating a combined signal that is stronger and more reliable than any single indicator.
By incorporating different signal periods, NEUTRONSTAR achieves what can be thought of as a form of edge accumulation. The fast components within NEUTRONSTAR , for example, are highly sensitive to quick shifts in market direction. These indicators excel at identifying early trend signals, enabling NEUTRONSTAR to react swiftly to emerging momentum. However, these fast indicators alone would be prone to reacting to market noise, potentially generating too many premature signals. This is where the medium term indicators come into play. These components operate with a slower reaction time, filtering out the short term fluctuations and confirming the direction of the trend established by the faster indicators. The combination of these varying signal speeds results in a balanced, adaptive response to market changes.
This approach also allows NEUTRONSTAR to adapt to different market regimes seamlessly. In fast moving, volatile markets, the faster indicators provide an early alert to potential trend shifts, while the slower components offer a stabilizing influence, preventing overreaction to temporary noise. Conversely, in steadier or trending markets, the medium and slower indicators sustain the trend signal, reducing the likelihood of premature exits. This flexible design enhances NEUTRONSTAR ’s ability to operate effectively across multiple asset classes and timeframes, from short term fluctuations to longer term market cycles.
The result is a powerful, multi-layered trend following tool that remains adaptive, capturing the benefits of both fast and medium paced reactions without becoming overly sensitive to short term noise. This unique aggregation methodology also supports NEUTRONSTAR ’s robustness, reducing the risk of overfitting to historical data and ensuring that the system can perform reliably in forward testing and live trading environments. The slightly staggered signal periods provide a greater degree of resilience, making NEUTRONSTAR a dependable choice for traders looking to capitalize on sustained trends while minimizing exposure during periods of market uncertainty.
In summary, the lack of perfect time coherence among NEUTRONSTAR ’s sub components is not a flaw - but a deliberate, robust design choice.
Risk Management through Market Mode Analysis
An essential part of NEUTRONSTAR is its ability to assess the market's underlying behavior and adapt accordingly. It employs a Market Mode Analysis mechanism that identifies when the market is either in a “Trending State” or a “Mean Reverting State.” When enough confidence is established that the market is trending, the system confirms and signals a “Trending State,” which is optimal for maintaining positions in the direction of the trend. Conversely, if there’s insufficient confidence, it labels the market as “Mean Reverting,” alerting traders to potentially avoid trend trades during likely sideways movement.
This distinction is particularly valuable in crypto, where asset prices often oscillate between aggressive trends and consolidation periods. The Market Mode Analysis keeps traders aligned with the broader market conditions, minimizing exposure during periods of potential whipsaws and maximizing gains during sustained trends.
Zero Overfitting: Design and Testing for Real World Resilience
Unlike many trend following indicators that rely heavily on backtesting and optimization, NEUTRONSTAR was built to perform well in forward testing and live trading without post design adjustments. Over a year of live market exposure has all but proven its robustness, with the system’s methodology focused on universal applicability and simplicity rather than curve fitting to past data. This approach ensures the aggregator remains effective across different market cycles and maintains relevance as new data unfolds.
By avoiding overfitting, NEUTRONSTAR is inherently more resistant to the common issue of strategy degradation over time, making it a valuable tool for traders seeking reliable market analysis you can trust for the long term.
Settings and Customization Options
To accommodate a range of trading styles and market conditions, NEUTRONSTAR includes adjustable settings that allow for fine tuning sensitivity and signal generation:
Calculation Method - Users can choose between calculating the NEUTRONSTAR score based on aggregated scores or by using the state of individual aggregates (long, neutral, short). The score method provides faster signals with slightly more noise, while the state based approach offers a smoother signal.
Sensitivity Threshold - This setting adjusts the system’s sensitivity, defining the width of the neutral zone. Higher thresholds reduce sensitivity, allowing for a broader range of volatility before triggering a trend reversal.
Market Regime Sensitivity - A sensitivity adjustment, ranging from 0 to 100, that affects the sensitivity of the sub components in market regime calculation.
These settings offer flexibility for users to tailor NEUTRONSTAR to their specific needs, whether for medium term investment strategies or shorter term trading setups.
Visualization and Legend
For intuitive usability, NEUTRONSTAR uses color coded bar overlays to indicate trend direction:
Green - indicates an uptrend.
Gray - signals a neutral or transition phase.
Purple - denotes a downtrend.
An optional background color can be enabled for market mode visualization, indicating the overall market state as either trending or mean reverting. This feature allows traders to assess trend direction and strength at a glance, simplifying decision making.
Additional Metrics Table
To support strategic decision making, NEUTRONSTAR includes an additional metrics table for in depth analysis:
Performance Ratios - Sharpe, Sortino, and Omega ratios assess the asset’s risk adjusted returns.
Volatility Insights - Provides an average volatility measure, valuable for understanding market stability.
Beta Measurement - Calculates asset beta against BTC, offering insight into asset volatility in the context of the broader market.
These metrics provide deeper insights into individual asset behavior, supporting more informed trend based allocations. The table is fully customizable, allowing traders to adjust the position and size for a seamless integration into their workspace.
Final Summary
The Trend Titan NEUTRONSTAR indicator is a powerful and resilient trend following system for crypto markets, built with a unique aggregation of high performance models to deliver dependable, noise reduced trend signals. Its robust design, free from overfitting, ensures adaptability across various assets and timeframes. With customizable sensitivity settings, intuitive color coded visualization, and an advanced risk metrics table, NEUTRONSTAR provides traders with a comprehensive tool for identifying and riding profitable trends, while safeguarding capital during unfavorable market phases.
