Supertrend StrategyThe Supertrend Strategy was created based on the Supertrend and Relative Strength Index (RSI) indicators, widely respected tools in technical analysis. This strategy combines these two indicators to capture market trends with precision and reliability, looking for optimizing exit levels at oversold or overbought price levels.
The Supertrend indicator identifies trend direction based on price and volatility by using the Average True Range (ATR). The ATR measures market volatility by calculating the average range between an asset’s high and low prices over a set period. It provides insight into price fluctuations, with higher ATR values indicating increased volatility and lower values suggesting stability. The Supertrend Indicator plots a line above or below the price, signaling potential buy or sell opportunities: when the price closes above the Supertrend line, an uptrend is indicated, while a close below the line suggests a downtrend. This line shifts as price movements and volatility levels change, acting as both a trailing stop loss and trend confirmation.
To enhance the Supertrend strategy, the Relative Strength Index (RSI) has been added as an exit criterion. As a momentum oscillator, the RSI indicates overbought (usually above 70) or oversold (usually below 30) conditions. This integration allows trades to close when the asset is overbought or oversold, capturing gains before a possible reversal, even if the percentage take profit level has not been reached. This mechanism aims to prevent losses due to market reversals before the Supertrend signal changes.
### Key Features
1. **Entry criteria**:
- The strategy uses the Supertrend indicator calculated by adding or subtracting a multiple of the ATR from the closing price, depending on the trend direction.
- When the price crosses above the Supertrend line, the strategy signals a long (buy) entry. Conversely, when the price crosses below, it signals a short (sell) entry.
- The strategy performs a reversal if there is an open position and a change in the direction of the supertrend occurs
2. **Exit criteria**:
- Take profit of 30% (default) on the average position price.
- Oversold (≤ 5) or overbought (≥ 95) RSI
- Reversal when there is a change in direction of the Supertrend
3. **No Repainting**:
- This strategy is not subject to repainting, as long as the timeframe configured on your chart is the same as the supertrend timeframe .
4. **Position Sizing by Equity and risk management**:
- This strategy has a default configuration to operate with 35% of the equity. At the time of opening the position, the supertrend line is typically positioned at about 12 to 16% of the entry price. This way, the strategy is putting at risk about 16% of 35% of equity, that is, around 5.6% of equity for each trade. The percentage of equity can be adjusted by the user according to their risk management.
5. **Backtest results**:
- This strategy was subjected to deep backtesting and operations in replay mode, including transaction fees of 0.12%, and slippage of 5 ticks.
- The past results in deep backtest and replay mode were compatible and profitable (Variable results depending on the take profit used, supertrend and RSI parameters). However, it should be noted that few operations were evaluated, since the currency in question has been created for a short time and the frequency of operations is relatively small.
- Past results are no guarantee of future results. The strategy's backtest results may even be due to overfitting with past data.
Default Settings
Chart timeframe: 2h
Supertrend Factor: 3.42
ATR period: 14
Supertrend timeframe: 2 h
RSI timeframe: 15 min
RSI Lenght: 5 min
RSI Upper limit: 95
RSI Lower Limit: 5
Take Profit: 30%
BYBIT:1000000MOGUSDT.P
Trendtrading
SMA Fibonacci Rainbow Waves[FibonacciFlux]SMA Fibonacci Rainbow Waves
Overview
The SMA Fibonacci Rainbow Waves script is designed for traders who seek to blend simplicity with complexity in their trading strategies. By leveraging multiple Simple Moving Averages (SMAs) weighted by Fibonacci numbers, this indicator provides a nuanced view of price action, allowing traders to capture essential market dynamics while filtering out unnecessary noise.
Key Features
1. Multiple Simple Moving Averages (SMA)
- The indicator employs a series of SMAs to represent both short-term and long-term trends, providing a comprehensive view of market sentiment.
- Each SMA helps identify critical price levels that serve as support and resistance, particularly the purple Fibonacci SMA, which can be pivotal for limit entries. Traders positioned at this level can initiate stop-loss hunts at the institutional level, potentially achieving risk-reward ratios exceeding 30.
2. Fibonacci Weighting
- By applying Fibonacci principles to the SMAs, the indicator enhances adaptability to market conditions.
- This unique approach allows traders to pinpoint significant support and resistance levels within Fibonacci layers, enabling them to anticipate market movements effectively.
3. Dynamic Support and Resistance Levels
- The SMA Fibonacci Rainbow Waves indicator identifies key price levels that act as support and resistance based on Fibonacci layers.
- For instance, on the hourly chart, these levels function as reliable zones for traders to watch for potential reversals, while on the 15-minute chart, a consolidation within the rainbow pocket followed by expansion can signal lucrative trading opportunities.
4. Visual Clarity with Color Coding
- Each SMA is assigned a distinct color, making it easy to differentiate between the various levels on the chart.
- Fills between SMAs visually represent zones of confluence, enhancing the analysis of potential trading opportunities.
Signal Generation and Alerts
- The indicator generates buy and sell signals based on the interactions of the SMAs, providing clear entry and exit points.
- Customizable alerts notify traders of significant market changes, allowing for timely reactions to evolving conditions.
Benefits
1. Simplified Trading Approach
- Traders can focus on significant market trends without distraction, enhancing decision-making efficiency and reducing emotional trading.
2. Flexibility Across Timeframes
- The indicator operates effectively across multiple timeframes, allowing traders to apply its principles in various scenarios, from scalping to longer-term strategies.
3. Enhanced Market Insights
- The combination of multiple SMAs and Fibonacci weighting offers a comprehensive view of market trends, helping traders identify lucrative opportunities that may be overlooked.
4. Bridging Simplicity and Complexity
- This indicator elegantly addresses the contradictions in trading psychology, allowing traders to maintain clarity while navigating complex market dynamics.
Conclusion
The SMA Fibonacci Rainbow Waves script is an essential tool for traders seeking to streamline their analysis while effectively capturing market movements. By integrating Fibonacci principles with multiple SMAs, this indicator empowers traders to follow trends confidently. Its design makes it invaluable for both novice and experienced traders, revealing entry points often missed by traditional indicators.
Open Source Collaboration
This script is available as an open-source project on TradingView, inviting contributions from the global trading community to enhance its functionality. Collaboration ensures it remains a valuable resource for market participants.
Important Note
As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always prepare for potential market fluctuations.
Multi-Average Trend Indicator (MATI)[FibonacciFlux]Multi-Average Trend Indicator (MATI)
Overview
The Multi-Average Trend Indicator (MATI) is a versatile technical analysis tool designed for traders who aim to enhance their market insights and streamline their decision-making processes across various timeframes. By integrating multiple advanced moving averages, this indicator serves as a robust framework for identifying market trends, making it suitable for different trading styles—from scalping to swing trading.
MATI 4-hourly support/resistance
MATI 1-hourly support/resistance
MATI 15 minutes support/resistance
MATI 1 minutes support/resistance
Key Features
1. Diverse Moving Averages
- COVWMA (Coefficient of Variation Weighted Moving Average) :
- Provides insights into price volatility, helping traders identify the strength of trends in fast-moving markets, particularly useful for 1-minute scalping .
- DEMA (Double Exponential Moving Average) :
- Minimizes lag and quickly responds to price changes, making it ideal for capturing short-term price movements during volatile trading sessions .
- EMA (Exponential Moving Average) :
- Focuses on recent price action to indicate the prevailing trend, vital for day traders looking to enter positions based on current momentum.
- KAMA (Kaufman's Adaptive Moving Average) :
- Adapts to market volatility, smoothing out price action and reducing false signals, which is crucial for 4-hour day trading strategies.
- SMA (Simple Moving Average) :
- Provides a foundational view of the market trend, useful for swing traders looking at overall price direction over longer periods.
- VIDYA (Variable Index Dynamic Average) :
- Adjusts based on market conditions, offering a dynamic perspective that can help traders capture emerging trends.
2. Combined Moving Average
- The MATI's combined moving average synthesizes all individual moving averages into a single line, providing a clear and concise summary of market direction. This feature is especially useful for identifying trend continuations or reversals across various timeframes .
3. Dynamic Color Coding
- Each moving average is visually represented with color coding:
- Green indicates bullish conditions, while Red suggests bearish trends.
- This visual feedback allows traders to quickly assess market sentiment, facilitating faster decision-making.
4. Signal Generation and Alerts
- The indicator generates buy signals when the combined moving average crosses above its previous value, indicating a potential upward trend—ideal for quick entries in scalping.
- Conversely, sell signals are triggered when the combined moving average crosses below its previous value, useful for exiting positions or entering short trades.
Insights and Applications
1. Scalping on 1-Minute Charts
- The MATI excels in fast-paced environments, allowing scalpers to identify quick entry and exit points based on short-term trends. With dynamic signals and alerts, traders can react swiftly to price movements, maximizing profit potential in brief price fluctuations.
2. Day Trading on 4-Hour Charts
- For day traders, the MATI provides essential insights into intraday trends. By analyzing the combined moving average and its relation to individual moving averages, traders can make informed decisions on when to enter or exit positions, capitalizing on daily price swings.
3. Swing Trading on Daily Charts
- The MATI also serves as a valuable tool for swing traders. By evaluating longer-term trends through the combined moving average, traders can identify potential swing points and adjust their strategies accordingly. The flexibility of adjusting the lengths of the moving averages allows for tailored approaches based on market volatility.
Benefits
1. Clarity and Insight
- The combination of diverse moving averages offers a clear visual representation of market trends, aiding traders in making informed decisions across multiple timeframes.
2. Flexibility and Customization
- With adjustable parameters, traders can adapt the MATI to their specific strategies, making it suitable for various market conditions and trading styles.
3. Real-Time Alerts and Efficiency
- Built-in alerts minimize response times, allowing traders to capitalize on opportunities as they arise, regardless of their trading style.
Conclusion
The Multi-Average Trend Indicator (MATI) is an essential tool for traders seeking to enhance their technical analysis capabilities. By seamlessly integrating multiple moving averages with dynamic color coding and real-time alerts, this indicator provides a comprehensive approach to understanding market trends. Its versatility makes it an invaluable asset for scalpers, day traders, and swing traders alike.
Important Note
As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for market fluctuations.
Multi Fibonacci Supertrend with Signals【FIbonacciFlux】Multi Fibonacci Supertrend with Signals (MFSS)
Overview
The Multi Fibonacci Supertrend with Signals (MFSS) is an advanced technical analysis tool that combines multiple Supertrend indicators using Fibonacci ratios to identify trend directions and potential trading opportunities.
Key Features
1. Fibonacci-Based Supertrend Levels
* Factor 1 (Weak) : 0.618 - The golden ratio
* Factor 2 (Medium) : 1.618 - The Fibonacci ratio
* Factor 3 (Strong) : 2.618 - The extension ratio
2. Visual Components
* Multi-layered Trend Lines
* Different line weights for easy identification
* Progressive transparency from Factor 1 to Factor 3
* Color-coded trend directions (Green for bullish, Red for bearish)
* Dynamic Fill Areas
* Gradient fills between price and trend lines
* Visual representation of trend strength
* Automatic color adjustment based on trend direction
* Signal Indicators
* Clear BUY/SELL labels on chart
* Position-adaptive signal placement
* High-visibility color scheme
3. Signal Generation Logic
The system generates signals based on two key conditions:
* Primary Condition :
* BUY : Price crossunder Supertrend2 (Factor 1.618)
* SELL : Price crossover Supertrend2 (Factor 1.618)
* Confirmation Filter :
* Signals only trigger when Supertrend3 confirms the trend direction
* Reduces false signals in volatile markets
Technical Details
Input Parameters
* ATR Period : 10 (default)
* Customizable for different market conditions
* Affects sensitivity of all Supertrend levels
* Factor Settings :
* All factors are customizable
* Default values based on Fibonacci sequence
* Minimum value: 0.01
* Step size: 0.01
Alert System
* Built-in alert conditions
* Customizable alert messages
* Real-time notification support
Use Cases
* Trend Trading
* Identify strong trend directions
* Filter out weak signals
* Confirm trend continuations
* Risk Management
* Multiple trend levels for stop-loss placement
* Clear entry and exit signals
* Trend strength visualization
* Market Analysis
* Multi-timeframe analysis capability
* Trend strength assessment
* Market structure identification
Benefits
* Reliability
* Based on proven Supertrend algorithm
* Enhanced with Fibonacci mathematics
* Multiple confirmation levels
* Clarity
* Clear visual signals
* Easy-to-interpret interface
* Reduced noise in signal generation
* Flexibility
* Customizable parameters
* Adaptable to different markets
* Suitable for various trading styles
Performance Considerations
* Optimized code structure
* Efficient calculation methods
* Minimal resource usage
Installation and Usage
Setup
* Add indicator to chart
* Adjust parameters if needed
* Enable alerts as required
Best Practices
* Use with other confirmation tools
* Adjust factors based on market volatility
* Consider timeframe appropriateness
Backtesting Results and Strategy Performance
This indicator is specifically designed for pullback trading with optimized risk-reward ratios in trend-following strategies. Below are the detailed backtesting results from our proprietary strategy implementation:
BTCUSDT Performance (Binance)
* Test Period: Approximately 7 years
* Risk-Reward Ratio: 2:1
* Take Profit: 8%
* Stop Loss: 4%
Key Metrics (BTCUSDT):
* Net Profit: +2,579%
* Total Trades: 551
* Win Rate: 44.8%
* Profit Factor: 1.278
* Maximum Drawdown: 42.86%
ETHUSD Performance (Binance)
* Risk-Reward Ratio: 4.33:1
* Take Profit: 13%
* Stop Loss: 3%
Key Metrics (ETHUSD):
* Net Profit: +8,563%
* Total Trades: 581
* Win Rate: 32%
* Profit Factor: 1.32
* Maximum Drawdown: 55%
Strategy Highlights:
* Optimized for pullback trading in strong trends
* Focus on high risk-reward ratios
* Proven effectiveness in major cryptocurrency pairs
* Consistent performance across different market conditions
* Robust profit factor despite moderate win rates
Note: These results are from our proprietary strategy implementation and should be used as reference only. Individual results may vary based on market conditions and implementation.
Important Considerations:
* The strategy demonstrates strong profitability despite lower win rates, emphasizing the importance of proper risk-reward ratios
* Higher drawdowns are compensated by significant overall returns
* The system shows adaptability across different cryptocurrencies with consistent profit factors
* Results suggest optimal performance in volatile crypto markets
Real Trading Examples
BTCUSDT 4-Hour Chart Analysis
Example of pullback strategy implementation on Bitcoin, showing clear trend definition and entry points
ETHUSDT 4-Hour Chart Analysis
Ethereum chart demonstrating effective signal generation during strong trends
BTCUSDT Detailed Signal Example (15-Minute Scalping)
Close-up view of signal generation and trend confirmation process on 15-minute timeframe, demonstrating the indicator's effectiveness for scalping operations
Chart Analysis Notes:
* Green and red zones clearly indicate trend direction
* Multiple timeframe confirmation visible through different Supertrend levels
* Clear entry signals during pullbacks in established trends
* Precise stop-loss placement opportunities below support levels
Implementation Guidelines:
* Wait for main trend confirmation from Factor 3 (2.618)
* Enter trades on pullbacks to Factor 2 (1.618)
* Use Factor 1 (0.618) for fine-tuning entry points
* Place stops below the relevant Supertrend level
Footnotes:
* Charts provided are from Binance exchange, using both 4-hour and 15-minute timeframes
* Trading view screenshots captured during actual market conditions
* Indicators shown: Multi Fibonacci Supertrend with all three factors
* Time period: Recent market activity showing various market conditions
Important Notice:
These charts are for educational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management.
Disclaimer
This indicator is for informational purposes only. Past performance is not indicative of future results. Always conduct proper risk management and due diligence.
License
Open source under MIT License
Author's Note
Contributions and suggestions for improvement are welcome. Please feel free to fork and enhance.
STANDARD DEVIATION INDICATOR BY WISE TRADERWISE TRADER STANDARD DEVIATION SETUP: The Ultimate Volatility and Trend Analysis Tool
Unlock the power of STANDARD DEVIATIONS like never before with the this indicator, a versatile and comprehensive tool designed for traders who seek deeper insights into market volatility, trend strength, and price action. This advanced indicator simultaneously plots three sets of customizable Deviations, each with unique settings for moving average types, standard deviations, and periods. Whether you’re a swing trader, day trader, or long-term investor, the STANDARD DEVIATION indicator provides a dynamic way to spot potential reversals, breakouts, and trend-following opportunities.
Key Features:
STANDARD DEVIATIONS Configuration : Monitor three different Bollinger Bands at the same time, allowing for multi-timeframe analysis within a single chart.
Customizable Moving Average Types: Choose from SMA, EMA, SMMA (RMA), WMA, and VWMA to calculate the basis of each band according to your preferred method.
Dynamic Standard Deviations: Set different standard deviation multipliers for each band to fine-tune sensitivity for various market conditions.
Visual Clarity: Color-coded bands with adjustable thicknesses provide a clear view of upper and lower boundaries, along with fill backgrounds to highlight price ranges effectively.
Enhanced Trend Detection: Identify potential trend continuation, consolidation, or reversal zones based on the position and interaction of price with the three bands.
Offset Adjustment: Shift the bands forward or backward to analyze future or past price movements more effectively.
Why Use Triple STANDARD DEVIATIONS ?
STANDARD DEVIATIONS are a popular choice among traders for measuring volatility and anticipating potential price movements. This indicator takes STANDARD DEVIATIONS to the next level by allowing you to customize and analyze three distinct bands simultaneously, providing an unparalleled view of market dynamics. Use it to:
Spot Volatility Expansion and Contraction: Track periods of high and low volatility as prices move toward or away from the bands.
Identify Overbought or Oversold Conditions: Monitor when prices reach extreme levels compared to historical volatility to gauge potential reversal points.
Validate Breakouts: Confirm the strength of a breakout when prices move beyond the outer bands.
Optimize Risk Management: Enhance your strategy's risk-reward ratio by dynamically adjusting stop-loss and take-profit levels based on band positions.
Ideal For:
Forex, Stocks, Cryptocurrencies, and Commodities Traders looking to enhance their technical analysis.
Scalpers and Day Traders who need rapid insights into market conditions.
Swing Traders and Long-Term Investors seeking to confirm entry and exit points.
Trend Followers and Mean Reversion Traders interested in combining both strategies for maximum profitability.
Harness the full potential of STANDARD DEVIATIONS with this multi-dimensional approach. The "STANDARD DEVIATIONS " indicator by WISE TRADER will become an essential part of your trading arsenal, helping you make more informed decisions, reduce risks, and seize profitable opportunities.
Who is WISE TRADER ?
Wise Trader is a highly skilled trader who launched his channel in 2020 during the COVID-19 pandemic, quickly building a loyal following. With thousands of paid subscribed members and over 70,000 YouTube subscribers, Wise Trader has become a trusted authority in the trading world. He is known for his ability to navigate significant events, such as the Indian elections and stock market crashes, providing his audience with valuable insights into market movements and volatility. With a deep understanding of macroeconomics and its correlation to global stock markets, Wise Trader shares informed strategies that help traders make better decisions. His content covers technical analysis, trading setups, economic indicators, and market trends, offering a comprehensive approach to understanding financial markets. The channel serves as a go-to resource for traders who want to enhance their skills and stay informed about key market developments.
Normalized Linear Regression (LSMA) OscillatorNormalized Linear Regression (LSMA) Oscillator
By Nathan Farmer
The Normalized LSMA Oscillator is a trend-following indicator that enhances the classic Linear Regression (LSMA) by applying a range of normalization techniques. This indicator allows traders to smooth out and normalize LSMA signals for better trend detection and dynamic market adaptation.
Key Features:
Configurable Normalization Methods:
This indicator offers several normalization techniques, such as Z-Score, Min-Max, Mean Normalization, Robust Scaler, Logistic Function, and Quantile Transformation. Each method helps in refining LSMA outputs to improve clarity in both trending and ranging market conditions.
Smoothing Options:
Smoothing can be applied after normalization, helping to reduce noise in the signals, thus making trend-following strategies that use this indicator more effective.
Recommended Settings:
Logistic Function Normalization: Recommended length of around 12, based on my preferred signal frequency.
Z-Score Normalization: Medium period (close to the default of 50), based on my preferred signal frequency.
Min-Max Normalization: Medium period, based on my preferred signal frequency.
Mean Normalization: Medium period, based on my preferred signal frequency.
Robust Scaler: Medium period, based on my preferred signal frequency.
Quantile Transformation: Medium period, based on my preferred signal frequency.
Usage:
Designed primarily for trend-following strategies, this indicator adapts well to varying market conditions. Traders can experiment with the various normalization and smoothing settings to match the indicator to their specific needs and market preferences.
Recommendation before usage:
Always backtest the indicator for yourself with respect to how you intend to use it. Modify the parameters to suit your needs, over your preferred time frame, on your preferred asset. My preferences are for the assets I happened to be looking at when I made this indicator. Odds are, you're looking at something else, over a different time frame, in a different market environment than what my settings are tailored for.
Trailing Stop Loss Smart [TradingFinder] Market Trend + CVD/EMA🔵 Introduction
Trailing Stop Loss (TSL) is one of the most powerful tools available. A Trailing Stop Loss is a modification of a typical stop order that adjusts dynamically based on market price movement. It can be set at a defined percentage or dollar amount away from the security's current market price, making it a flexible tool for locking in profits while minimizing risk. Unlike standard stop-loss orders, a Trailing Stop follows the market in the direction of the trade, protecting gains without requiring constant manual adjustments.
The Trailing Stop Loss Smart (TFlab Trailing Stop) indicator takes this concept even further by incorporating advanced metrics like Cumulative Volume Delta (CVD), volume dynamics, and Average True Range (ATR). This combination not only enhances risk management but also acts as a trend identifier, providing traders with a powerful tool to capitalize on both short-term and long-term price movements.
This indicator also supports various Order Types, allowing for flexible strategies that include a trailing stop/stop-loss combo to maximize winning trades while minimizing losses. The trailing stop limit is particularly useful for traders who want to set their stop at a precise level relative to the current market price, either by a percentage or a dollar amount. The Trailing Stop Loss Smart indicator can help ensure that traders do not exit too early during trends, while the stop-loss feature kicks in during reversals.
The advantages of using a Trailing Stop Loss are its ability to protect profits and reduce the emotional decision-making process in volatile markets. However, like all trading strategies, it has disadvantages, such as the risk of triggering too early during normal market fluctuations. By understanding how the Trailing Stop Loss Smart indicator integrates features like CVD, ATR, and volume analysis, traders can leverage its full potential while navigating these pros and cons.
With its unique ability to track market movements and trends using Cumulative Volume Delta, volume dynamics, and ATR-based trailing stops, this indicator offers a complete solution for traders looking to secure profits while minimizing downside risk. Whether you're employing a simple trailing stop or a trailing stop/stop-loss combo, this tool provides all the flexibility and precision needed to execute winning trades in various markets, including Forex, Crypto, and Stock.
🔵 How to Use
The Trailing Stop Loss Smart indicator integrates multiple advanced components to provide traders with superior risk management and trend identification.
Here’s how each part of the logic works :
🟣 Cumulative Volume Delta (CVD) Logic
The CVD tracks buying and selling pressure by calculating the difference between upward and downward price movements. When there’s more buying pressure, the CVD is positive, indicating a potential bullish trend. Conversely, more selling pressure results in a negative CVD, pointing to a bearish trend.
CVD Trend Detection : The indicator determines whether the market is in a bullish or bearish phase by comparing the CVD to its moving average. A bullish trend is confirmed when the CVD is above its moving average and the price is closing higher.
A bearish trend occurs when the CVD is below its moving average and the price is closing lower. This trend detection is critical for determining whether the trailing stop should be placed below the price (bullish) or above it (bearish).
🟣 Volume Dynamics
Volume is a key factor in identifying market strength. The Trailing Stop Loss Smart indicator pulls volume data based on the market selected (Forex, Crypto, or Stock) and adjusts the trailing stop based on whether the market is experiencing high volume or low volume.
High Volume : When the current volume exceeds the average volume, the market is in a high-volume state. During these conditions, the trailing stop is placed closer to the price, as high volume often indicates strong trends with less chance of reversals.
Low Volume : In low-volume conditions, the trailing stop gives the market more room to breathe by placing the stop further away from the price. This prevents premature stop-outs in periods of reduced market activity.
🟣 ATR-Based Trailing Stop
The Average True Range (ATR) is used to measure market volatility. The Trailing Stop Loss Smart uses the ATR to dynamically adjust the stop-loss distance.
Bullish Market : When a bullish trend is detected, the trailing stop is placed below the lowest price of the recent bars (determined by the Bar Back parameter), and adjusted by the ATR Multiplier. This allows for tighter protection during strong bullish trends.
Bearish Market : When the market is bearish, the trailing stop is placed above the highest price of recent bars, also adjusted by the ATR Multiplier. This ensures that short positions are safeguarded against sudden reversals.
🟣 Dynamic Stop-Loss Updates
The trailing stop is updated every few bars (according to the Refiner parameter), ensuring it remains relevant to the most recent price action and volume changes. This dynamic feature ensures the stop-loss adapts to both trending and volatile market conditions, without requiring manual intervention.
High Volume with Trends : In periods of high volume and a confirmed trend, the stop-loss is positioned tightly to lock in profits while minimizing the risk of reversal.
Low Volume with Trends : In low-volume conditions, the stop-loss is placed further from the price, allowing the market to move freely without triggering premature exits.
🟣 Visual Representation
The indicator visually represents the trailing stop on the chart, with green lines indicating bullish trends and red lines for bearish trends. This visual aid helps traders quickly assess the state of the market and the position of their trailing stop in real-time.
🔵 Settings
The Trailing Stop Loss Smart indicator offers several customizable settings to suit various trading strategies. Understanding these inputs is key to optimizing the tool for your specific trading style.
🟣 General Settings
Cumulative Mode : This controls how the CVD is calculated.
You can choose between :
EMA : Exponential Moving Average smoothing.
Periodic : Sums the delta over a fixed period.
CVD Period : Defines the look-back period for CVD calculation. A longer period smooths the data, making it less sensitive to short-term fluctuations.
Ultra Data : This Boolean input aggregates volume across multiple exchanges for a more comprehensive view of market activity.
Market Ultra Data : Select between Forex, Crypto, and Stock to ensure the indicator pulls accurate volume data for your market.
🟣 Logical Settings
Moving Average CVD Period : Defines the period for the moving average of the CVD. A longer period smooths the trend, reducing noise.
Moving Average Volume Period : Sets the period for the moving average used to distinguish between high and low volume conditions.
Level Finder Bar Back : Determines how many bars to look back when identifying the highest or lowest price for trailing stop placement.
Levels update per candles : Sets how often (in bars) the trailing stop should be updated to remain in sync with market movements.
ATR On : Toggles the use of ATR to adjust the trailing stop based on volatility.
ATR Multiplie r: Defines how far the stop is placed from the price based on the ATR. A larger multiplier increases the stop distance, reducing the likelihood of getting stopped out during market fluctuations.
ATR Multiplier Adjusts the distance of the trailing stop based on the ATR. A higher multiplier places the stop further from the price, providing more breathing room in volatile markets.
🔵 Conclusion
The Trailing Stop Loss Smart indicator is a comprehensive tool for traders looking to manage risk while identifying market trends. By incorporating Cumulative Volume Delta (CVD) to detect buying and selling pressure, volume dynamics to gauge market activity, and ATR to adjust for volatility, this indicator ensures that stop-loss levels are both adaptive and protective.
Whether you’re trading in Forex, Crypto, or Stock markets, the Trailing Stop Loss Smart allows you to capitalize on trends while dynamically adjusting to changing market conditions. Its ability to distinguish between high-volume and low-volume periods ensures that you’re not stopped out prematurely during periods of consolidation or market hesitation.
By providing real-time visual feedback, dynamic adjustments, and trend identification, this indicator serves as a vital tool for traders aiming to maximize profits while minimizing risk. Its versatility and adaptability make it an essential part of any trader’s toolkit, helping you stay ahead in fast-moving markets while safeguarding your positions.
VIDYA ProTrend Multi-Tier ProfitHello! This time is about a trend-following system.
VIDYA is quite an interesting indicator that adjusts dynamically to market volatility, making it more responsive to price changes compared to traditional moving averages. Balancing adaptability and precision, especially with the more aggressive short trade settings, challenged me to fine-tune the strategy for a variety of market conditions.
█ Introduction and How it is Different
The "VIDYA ProTrend Multi-Tier Profit" strategy is a trend-following system that combines the VIDYA (Variable Index Dynamic Average) indicator with Bollinger Bands and a multi-step take-profit mechanism.
Unlike traditional trend strategies, this system allows for more adaptive profit-taking, adjusting for long and short positions through distinct ATR-based and percentage-based targets. The innovation lies in its dynamic multi-tier approach to profit-taking, especially for short trades, where more aggressive percentages are applied using a multiplier. This flexibility helps adapt to various market conditions by optimizing trade management and profit allocation based on market volatility and trend strength.
BTCUSD 6hr performance
█ Strategy, How it Works: Detailed Explanation
The core of the "VIDYA ProTrend Multi-Tier Profit" strategy lies in the dual VIDYA indicators (fast and slow) that analyze price trends while accounting for market volatility. These indicators work alongside Bollinger Bands to filter trade entries and exits.
🔶 VIDYA Calculation
The VIDYA indicator is calculated using the following formula:
Smoothing factor (𝛼):
alpha = 2 / (Length + 1)
VIDYA formula:
VIDYA(t) = alpha * k * Price(t) + (1 - alpha * k) * VIDYA(t-1)
Where:
k = |Chande Momentum Oscillator (MO)| / 100
🔶 Bollinger Bands as a Volatility Filter
Bollinger Bands are calculated using a rolling mean and standard deviation of price over a specified period:
Upper Band:
BB_upper = MA + (K * stddev)
Lower Band:
BB_lower = MA - (K * stddev)
Where:
MA is the moving average,
K is the multiplier (typically 2), and
stddev is the standard deviation of price over the Bollinger Bands length.
These bands serve as volatility filters to identify potential overbought or oversold conditions, aiding in the entry and exit logic.
🔶 Slope Calculation for VIDYA
The slopes of both fast and slow VIDYAs are computed to assess the momentum and direction of the trend. The slope for a given VIDYA over its length is:
Slope = (VIDYA(t) - VIDYA(t-n)) / n
Where:
n is the length of the lookback period. Positive slope indicates bullish momentum, while negative slope signals bearish momentum.
LOCAL picture
🔶 Entry and Exit Conditions
- Long Entry: Occurs when the price moves above the slow VIDYA and the fast VIDYA is trending upward. Bollinger Bands confirm the signal when the price crosses the upper band, indicating bullish strength.
- Short Entry: Happens when the price drops below the slow VIDYA and the fast VIDYA trends downward. The signal is confirmed when the price crosses the lower Bollinger Band, showing bearish momentum.
- Exit: Based on VIDYA slopes flattening or reversing, or when the price hits specific ATR or percentage-based profit targets.
🔶 Multi-Step Take Profit Mechanism
The strategy incorporates three levels of take profit for both long and short trades:
- ATR-based Take Profit: Each step applies a multiple of the ATR (Average True Range) to the entry price to define the exit point.
The first level of take profit (long):
TP_ATR1_long = Entry Price + (2.618 * ATR)
etc.
█ Trade Direction
The strategy offers flexibility in defining the trading direction:
- Long: Only long trades are considered based on the criteria for upward trends.
- Short: Only short trades are initiated in bearish trends.
- Both: The strategy can take both long and short trades depending on the market conditions.
█ Usage
To use the strategy effectively:
- Adjust the VIDYA lengths (fast and slow) based on your preference for trend sensitivity.
- Use Bollinger Bands as a filter for identifying potential breakout or reversal scenarios.
- Enable the multi-step take profit feature to manage positions dynamically, allowing for partial exits as the price reaches specified ATR or percentage levels.
- Leverage the short trade multiplier for more aggressive take profit levels in bearish markets.
This strategy can be applied to different asset classes, including equities, forex, and cryptocurrencies. Adjust the input parameters to suit the volatility and characteristics of the asset being traded.
█ Default Settings
The default settings for this strategy have been designed for moderate to trending markets:
- Fast VIDYA Length (10): A shorter length for quick responsiveness to price changes. Increasing this length will reduce noise but may delay signals.
- Slow VIDYA Length (30): The slow VIDYA is set longer to capture broader market trends. Shortening this value will make the system more reactive to smaller price swings.
- Minimum Slope Threshold (0.05): This threshold helps filter out weak trends. Lowering the threshold will result in more trades, while raising it will restrict trades to stronger trends.
Multi-Step Take Profit Settings
- ATR Multipliers (2.618, 5.0, 10.0): These values define how far the price should move before taking profit. Larger multipliers widen the profit-taking levels, aiming for larger trend moves. In higher volatility markets, these values might be adjusted downwards.
- Percentage Levels (3%, 8%, 17%): These percentage levels define how much the price must move before taking profit. Increasing the percentages will capture larger moves, while smaller percentages offer quicker exits.
- Short TP Multiplier (1.5): This multiplier applies more aggressive take profit levels for short trades. Adjust this value based on the aggressiveness of your short trade management.
Each of these settings directly impacts the performance and risk profile of the strategy. Shorter VIDYA lengths and lower slope thresholds will generate more trades but may result in more whipsaws. Higher ATR multipliers or percentage levels can delay profit-taking, aiming for larger trends but risking partial gains if the trend reverses too early.
Adaptive EMA with ATR and Standard Deviation [QuantAlgo]Adaptive EMA with ATR and Standard Deviation by QuantAlgo 📈✨
Introducing the Adaptive EMA with ATR and Standard Deviation , a comprehensive trend-following indicator designed to combine the smoothness of an Exponential Moving Average (EMA) with the volatility adjustments of Average True Range (ATR) and Standard Deviation. This synergy allows traders and investors to better identify market trends while accounting for volatility, delivering clearer signals in both trending and volatile market conditions. This indicator is suitable for traders and investors seeking to balance trend detection and volatility management, offering a robust and adaptable approach across various asset classes and timeframes.
💫 Core Concept and Innovation
The Adaptive EMA with ATR and Standard Deviation brings together the trend-smoothing properties of the EMA and the volatility sensitivity of ATR and Standard Deviation. By using the EMA to track price movements over time, the indicator smooths out minor fluctuations while still providing valuable insights into overall market direction. However, market volatility can sometimes distort simple moving averages, so the ATR and Standard Deviation components dynamically adjust the trend signals, offering more nuanced insights into trend strength and reversals. This combination equips traders with a powerful tool to navigate unpredictable markets while minimizing false signals.
📊 Technical Breakdown and Calculations
The Adaptive EMA with ATR and Standard Deviation relies on three key technical components:
1. Exponential Moving Average (EMA): The EMA forms the base of the trend detection. Unlike a Simple Moving Average (SMA), the EMA gives more weight to recent price changes, allowing it to react more quickly to new data. Users can adjust the length of the EMA to make it more or less responsive to price movements.
2. Standard Deviation Bands: These bands are calculated from the standard deviation of the EMA and represent dynamic volatility thresholds. The upper and lower bands expand or contract based on recent price volatility, providing more accurate signals in both calm and volatile markets.
3. ATR-Based Volatility Filter: The Average True Range (ATR) is used to measure market volatility over a user-defined period. It helps refine the trend signals by filtering out false positives caused by minor price swings. The ATR filter ensures that the indicator only signals significant market movements.
⚙️ Step-by-Step Calculation:
1. EMA Calculation: First, the indicator calculates the EMA over a specified period based on the chosen price source (e.g., close, high, low).
2. Standard Deviation Bands: Then, it computes the standard deviation of the EMA and applies a multiplier to create upper and lower bands around the EMA. These bands adjust dynamically with the level of market volatility.
3. ATR Filtering: In addition to the standard deviation bands, the ATR is applied as a secondary filter to help refine the trend signals. This step helps eliminate signals generated by short-term price spikes or corrections, ensuring that the signals are more reliable.
4. Trend Detection: When the price crosses above the upper band, a bullish trend is identified, while a move below the lower band signals a bearish trend. The system accounts for both the standard deviation and ATR bands to generate these signals.
✅ Customizable Inputs and Features
The Adaptive EMA with ATR and Standard Deviation provides a range of customizable options to fit various trading/investing styles:
📈 Trend Settings:
1. Price Source: Choose the price type (e.g., close, high, low) to base the EMA calculation on, influencing how the trend is tracked.
2. EMA Length: Adjust the length to control how quickly the EMA reacts to price changes. A shorter length provides a more responsive EMA, while a longer period smooths out short-term fluctuations.
🌊 Volatility Controls:
1. Standard Deviation Multiplier: This parameter controls the sensitivity of the trend detection by adjusting the distance between the upper and lower bands from the EMA.
2. TR Length and Multiplier: Fine-tune the ATR settings to control how volatility is filtered, adjusting the indicator’s responsiveness during high or low volatility phases.
🎨 Visualization and Alerts:
1. Bar Coloring: Select different colors for uptrends and downtrends, providing a clear visual cue when trends change.
2. Alerts: Set up alerts to notify you when the price crosses the upper or lower bands, signaling a potential long or short trend shift. Alerts can help you stay informed without constant chart monitoring.
📈 Practical Applications
The Adaptive EMA with ATR and Standard Deviation is ideal for traders and investors looking to balance trend-following strategies with volatility management. Key uses include:
Detecting Trend Reversals: The dynamic bands help identify when the market shifts direction, providing clear signals when a trend reversal is likely.
Filtering Market Noise: By applying both Standard Deviation and ATR filtering, the indicator helps reduce false signals during periods of heightened volatility.
Volatility-Based Risk Management: The adaptability of the bands ensures that traders can manage risk more effectively by responding to shifts in volatility while keeping focus on long-term trends.
⭐️ Comprehensive Summary
The Adaptive EMA with ATR and Standard Deviation is a highly customizable indicator that provides traders with clearer signals for trend detection and volatility management. By dynamically adjusting its calculations based on market conditions, it offers a powerful tool for navigating both trending and volatile markets. Whether you're looking to detect early trend reversals or avoid false signals during periods of high volatility, this indicator gives you the flexibility and accuracy to improve your trading and investing strategies.
Note: The Adaptive EMA with ATR and Standard Deviation is designed to enhance your market analysis but should not be relied upon as the sole basis for trading or investing decisions. Always combine it with other analytical tools and practices. No statements or signals from this indicator constitute financial advice. Past performance is not indicative of future results.
TechniTrend: Strong Candles DetectorTechniTrend: Strong Candles Detector
Description:
The TechniTrend: Strong Candles Detector indicator is designed to identify strong candlestick patterns based on customizable thresholds of candle strength, volume, and price volatility. By detecting significant candles that have a high proportion of body relative to total range, the indicator helps traders identify potential shifts in market direction, making it a useful tool for trend analysis and reversal spotting.
Key Features:
Candle Strength Detection: The indicator calculates the strength of a candle based on the ratio of its body (difference between open and close) to its total range (high minus low). If the body size exceeds a user-defined threshold, the candle is flagged as strong. This helps traders quickly identify key candles that may signal market movements.
Volume Confirmation (Optional): An optional volume confirmation allows the indicator to only flag candles as "strong" if the trading volume during the candle exceeds the average volume over a customizable period. This can help validate that a candle’s movement is backed by significant market participation.
Volatility Body Confirmation (Optional): Users can further refine the detection by requiring that the body of a strong candle exceed the average body size (volatility) of previous candles. This ensures that candles with greater price movement are prioritized.
Customizable Inputs:
Strength Threshold: Defines the minimum ratio of body to total range for a candle to be considered strong.
Moving Average Type: Choose from SMA, EMA, or WMA for calculating the moving average of volume or body volatility.
Volume and Body Confirmation: Adjust the percentage thresholds for the difference between the current volume/body size and their average values.
Visual Alerts: The indicator marks strong bullish candles with green upward labels below the candle, and strong bearish candles with red downward labels above the candle. Additionally, strong candles can be highlighted with a customizable background color for easier visualization.
How It Works:
Strength Ratio:
The core of this indicator is the calculation of the strength ratio, which is defined as the body size (open-close) divided by the total range (high-low). If the body size is larger relative to the total range and exceeds the user-defined threshold, the candle is flagged as strong.
Volume and Volatility Confirmation:
For traders seeking additional confirmation, the indicator can be configured to only mark candles if the current volume or body volatility exceeds the average by a user-defined percentage. These confirmations can be toggled on or off to suit different trading strategies.
Customization Options:
Strength Threshold (0-1):
Sets the minimum strength required for a candle to be flagged. A higher value will result in fewer but more significant candles being marked.
Volume Confirmation:
Toggle on to require a higher volume compared to the average volume for a candle to be confirmed as strong.
Volatility Body Confirmation:
Toggle on to require a larger candle body compared to the average body size for further confirmation.
Candle Color:
Choose the background color used to highlight strong candles.
Recommended Settings:
Strength Threshold: 0.7 (for a good balance between body and range)
Volume Difference: 0.05 (5% above the average volume)
Body Volatility Difference: 0.05 (5% above the average body size)
Length: 14 (for volume and volatility moving averages)
Conclusion: The TechniTrend: Strong Candles Detector is an easy-to-use yet powerful tool for traders who want to identify key candles that signal potential market trends. Its customizable settings allow for fine-tuning to fit different trading styles, whether looking for high-volume breakouts or significant price movements. The indicator offers both a visual and configurable alert system to help traders make more informed decisions.
Support Resistance DynamicsThe Support Resistance Dynamics indicator is an advanced technical analysis tool designed to identify and visualize key support and resistance levels in real-time. This innovative indicator stands out from traditional support and resistance tools by employing a dynamic approach that adapts to market conditions.
Key Features:
Dynamic Level Calculation: Unlike static support and resistance indicators, this tool continuously updates levels based on recent price action, providing traders with the most relevant and up-to-date information.
Logarithmic Scale Option: The indicator offers a unique logarithmic scale feature, essential for analyzing long-term trends or assets with significant price changes. This allows for more accurate level plotting across various timeframes and price ranges.
Customizable Display: Users can adjust the number of support and resistance lines displayed, allowing for a clean and uncluttered chart view while focusing on the most significant levels.
Adaptive Slope Calculation: The indicator uses an innovative approach to calculate the slope of support and resistance lines, offering options from dynamic adaptation to fixed long-term periods. This ensures the lines remain relevant in both trending and ranging markets.
Enhanced Visualization: With customizable line colors, styles, and transparency, traders can easily distinguish between support and resistance levels, improving chart readability and analysis.
Flexible Period Settings: From dynamic calculations based on recent pivots to fixed long-term periods, the indicator adapts to various trading styles and timeframes.
The Support Resistance Dynamics indicator is particularly useful for:
Identifying potential reversal points in trends
Setting more accurate entry and exit points for trades
Placing stop-loss orders with greater precision
Recognizing breakout levels for potential new trends
By combining dynamic calculation methods with customizable visual elements, this indicator provides traders with a powerful tool for market analysis. Whether you're a day trader looking for short-term opportunities or a long-term investor analyzing macro trends, the Support Resistance Dynamics indicator offers valuable insights to enhance your trading strategy.
This indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any financial instrument. Past performance is not indicative of future results. Trading involves significant risk of loss. Users should conduct their own research and due diligence before making any investment decisions. The creator of this indicator is not responsible for any losses incurred from its use. Always test thoroughly on demo accounts before applying to live trading.
Volatility Trend Bands [UAlgo]The Volatility Trend Bands is a trend-following indicator that combines the concepts of volatility and trend detection. Built using the Average True Range (ATR) to measure volatility, this indicator dynamically adjusts upper and lower bands around price movements. The bands act as dynamic support and resistance levels, making it easier to identify trend shifts and potential entry and exit points.
With the ATR multiplier, this indicator effectively captures volatility-based shifts in the market. The use of midline values allows for accurate trend detection, which is displayed through color-coded signals on the chart. Additionally, this tool provides clear buy and sell signals, accompanied by intuitive graphical markers for ease of use.
The Volatility Trend Bands is ideal for traders seeking an adaptive trend-following method that responds to changing market conditions while maintaining robust volatility control.
🔶 Key Features
Dynamic Support and Resistance: The indicator utilizes volatility to create dynamic bands. The upper band acts as resistance, and the lower band acts as support for the price. Wider bands indicate higher volatility, while narrower bands indicate lower volatility.
Customizable Inputs
You can tailor the indicator to your strategy by adjusting the:
Price Source: Select the price data (e.g., closing price) used for calculations.
ATR Length: Define the lookback period for the Average True Range (ATR) volatility measure.
ATR Multiplier: This factor controls the width of the volatility bands relative to the ATR value.
Color Options: Choose colors for the bands and signal arrows for better visualization.
Visual Signals: Arrows ("▲" for buy, "▼" for sell) appear on the chart when the trend changes, providing clear entry point indications.
Alerts: Integrated alerts for both buy and sell conditions, allowing you to receive notifications for potential trade opportunities.
🔶 Interpreting Indicator
Upper and Lower Bands: The upper and lower bands are dynamic, adjusting based on market volatility using the ATR. These bands serve as adaptive support and resistance levels. When price breaks above the upper band, it indicates a potential bullish breakout, signaling a strong uptrend. Conversely, a break below the lower band signals a bearish breakout, indicating a downtrend.
Buy/Sell Signals: The indicator provides clear buy and sell signals at breakout points. A buy signal ("▲") is generated when the price breaks above the upper band, suggesting the start of a bullish trend. A sell signal ("▼") is triggered when the price breaks below the lower band, indicating the beginning of a bearish trend. These signals help traders identify potential entry and exit points at key breakout levels.
Color-Coded Bars: The bars on the chart change color based on the trend direction. Teal bars represent bullish momentum, while purple bars signify bearish momentum. This color coding provides a quick visual cue about the market's current direction.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Dynamic Touch Trendlines [QuantVue]The Dynamic Touch Trendlines (DTT) indicator automatically draws and manages trendlines on your chart, helping traders identify key support and resistance levels.
What sets the DTT indicator apart from other trendline indicators is its ability to let traders customize the number of touches required to validate a trendline. This flexibility allows you to fine-tune the indicator for different markets or trading styles, ensuring only strong trendlines with the specified number of touches are considered valid.
This indicator features both uptrend lines (drawn from pivot lows) and downtrend lines (drawn from pivot highs), making it suitable for detecting bullish and bearish trends.
An uptrend line connects three (default setting) or more significant lows, showing where price has historically found support. Traders often look for price to bounce off this line during pullbacks in an uptrend.
When price breaks below an uptrend line, it suggests a weakening of the bullish trend. This could mean that buyers are losing strength, and the market may be transitioning into a bearish phase, providing a potential opportunity for traders to enter short positions or exit long positions.
Conversely, a downtrend line connects three (default setting) or more significant highs, indicating potential resistance in a downtrend. Price action below this line can signal continued bearish momentum.
When price breaks above a downtrend line, it indicates a potential reversal of the bearish trend. This can signal the end of selling pressure and the beginning of a new bullish phase, offering traders a potential opportunity to enter long positions.
Key settings:
Minimum Touches: This sets the number of price touches required to validate a trendline. Increasing the minimum touches filters out weaker trends, ensuring that only more reliable trendlines are drawn.
Buffer: The buffer is used to account for minor price overshoots or near misses relative to the trendline. It creates a margin around the trendline, allowing price to come close to the line—whether it overshoots slightly or falls just short—and still count as a valid touch. This helps ensure that small price fluctuations or market noise don’t prevent valid trendline touches from being recognized, making the trendlines more reliable.
Trendline Break Source: Allows traders to define how a trendline is considered broken—either based on the close of the price bar or the wicks (highs and lows) of the price action.
The DTT indicator also features alerts whenever a new trendline is detected or an existing trendline is broken!
Dynamic ConfluenceThe Dynamic MA Confluence Indicator is a powerful tool designed to simplify your trading experience by automatically identifying the most influential moving average (MA) lengths on your chart. Whether you're using Simple Moving Averages (SMA) or Exponential Moving Averages (EMA), this indicator helps you pinpoint the MA length that holds the greatest confluence, allowing you to make informed trading decisions with ease.
How It Works:
This indicator analyzes a wide range of moving averages, from short-term to long-term, to determine which ones are closest to each other. By setting a "Proximity Percentage," you can control how close these MAs need to be to be considered as having confluence. The indicator then calculates the average of these close MAs to establish a dynamic support or resistance level on your chart.
Why Use This Indicator?
Automatic Optimization: Unsure of which MA length to apply? The indicator automatically highlights the MA length with the most confluence, giving you a clear edge in identifying significant market levels.
Adaptability: Choose between SMA and EMA to suit your trading strategy and market conditions.
Enhanced Decision-Making: By focusing on the MA length with the greatest influence, you can better anticipate market movements and adjust your strategies accordingly.
Customizable Sensitivity: Adjust the Proximity Percentage to fine-tune the indicator's sensitivity, ensuring it aligns with your trading preferences.
Key Feature:
Current Key Confluence MA Length: Displayed in an optional table, this feature shows the MA length that currently has the most impact on the confluence level, providing you with actionable insights at a glance.
Whether you're a seasoned trader or just starting, the Dynamic MA Confluence Indicator offers a streamlined approach to understanding market dynamics, helping you trade smarter and with more confidence. This presentation text is designed to clearly communicate the purpose, functionality, and benefits of the indicator, making it easy for users to understand its value and how it can enhance their trading strategies.
The Dynamic MA Confluence Indicator is a tool designed to assist traders in analyzing market trends. It should not be considered as financial advice or a guarantee of future performance. Trading involves significant risk, and it is possible to lose more than your initial investment. Users should conduct their own research and consider their financial situation before making trading decisions. Always consult with a financial advisor if you are unsure about any trading strategies or decisions. This disclaimer is intended to remind users of the inherent risks in trading and the importance of conducting their own due diligence.
Gaussian Filter [BigBeluga]The Gaussian Filter - BigBeluga indicator is a trend-following tool that uses a Gaussian filter to smooth price data and identify directional shifts in the market. It provides dynamic signals for entering and exiting trades based on trend changes, helping traders stay aligned with the market's momentum. What sets this indicator apart is its ability to display precise entry and exit points with real-time tracking of percentage price changes, making it ideal for trend-based strategies.
SP500:
NIFTY50:
🔵 KEY FEATURES & USAGE
◉ Gaussian Filter Trend Line:
//@function GaussianFilter is used for smoothing, reducing noise, and computing derivatives of data.
//@param src (float) The source data (e.g., close price) to be smoothed.
//@param params (GaussianFilterParams) Gaussian filter parameters that include length and sigma.
//@returns (float) The smoothed value from the Gaussian filter.
gaussian_filter(float src, params) =>
var float weights = array.new_float(params.length) // Array to store Gaussian weights
total = 0.0
pi = math.pi
for i = 0 to params.length - 1
weight = math.exp(-0.5 * math.pow((i - params.length / 2) / params.sigma, 2.0))
/ math.sqrt(params.sigma * 2.0 * pi)
weights.set(i, weight)
total := total + weight
for i = 0 to params.length - 1
weights.set(i, weights.get(i) / total)
sum = 0.0
for i = 0 to params.length - 1
sum := sum + src * weights.get(i)
sum
The core functionality of the Gaussian Filter line is to show trend direction. When the trend line increases four times consecutively, it indicates an uptrend signal. Similarly, if it decreases four times in a row, it signals a downtrend. The smoothness of the filter helps traders stay on the right side of the market by filtering out noise and emphasizing the dominant trend direction.
◉ Entry and Exit Levels with Real-Time Price and Performance Data:
Each time the indicator detects a trend change, it plots an entry or exit level on the chart. For an uptrend, an entry level is marked, and for a downtrend, an exit level is plotted. These levels display the price at the time of the signal.
While the trend is ongoing, the indicator tracks the percentage change in price from the initial entry or exit signal to the current bar, updating in real-time. When a trend concludes, it displays the total percentage change from the entry or exit point to the trend's end. This feature provides valuable insights into how much the price has moved during each trend phase and allows traders to monitor the performance of each trade.
◉ Color-Coded Candlestick Representation with Trend Shift Alerts:
In addition to coloring the candlesticks based on the trend direction, the indicator also uses gray candles to highlight potential early trend shifts. For example, if the Gaussian Filter detects a downtrend but the price moves above the filter line, the candles turn gray, signaling a possible reversal or shift in momentum. Similarly, in an uptrend, if the price moves below the Gaussian Filter line, the candles turn gray as an early indication of potential bearish momentum. This visual cue helps traders stay alert to possible faster shifts in market direction, allowing for quicker decision-making.
🔵 CUSTOMIZATION
Length and Sigma for Gaussian Filter:
Adjust the length and sigma parameters to control how the Gaussian Filter smooths the price data. A longer length provides smoother trend lines, while adjusting sigma can fine-tune the level of smoothing applied.
Levels Display and Candle Coloring:
You can toggle the visibility of entry and exit levels as well as enable or disable the dynamic coloring of candlesticks based on the trend direction. The additional gray color setting provides an extra layer of information, allowing you to spot potential trend reversals early.
🔵 CONCLUSION
The Gaussian Filter indicator is a powerful tool for identifying and following market trends. By providing clear entry and exit signals, along with real-time tracking of price changes, it gives traders a structured way to manage trades and monitor performance. The color-coded candles, including gray to highlight possible trend shifts, add another dimension to visualizing market dynamics. The added flexibility of customizing colors and trend levels makes it a versatile indicator suitable for both trend-following and reversal strategies.
Multi Adaptive Moving Average (MAMA)The Multi Adaptive Moving Average (MAMA) indicator is an advanced tool for technical analysis, designed to provide traders with a detailed understanding of market trends and potential future price movements. This indicator utilizes multiple Simple Moving Averages (SMAs) and forecasting techniques to enhance decision-making processes.
Simple Moving Averages (SMAs):
Short MA (20-period): This moving average is highly responsive to price changes, making it ideal for capturing short-term trends. It helps traders identify quick market shifts and potential entry or exit points.
Mid MA (50-period): This average strikes a balance between short- and long-term trends, offering insights into the market's intermediate direction. It aids in confirming the sustainability of short-term trends.
Long MA (100-period): By smoothing out price data over a longer period, this moving average is useful for identifying long-term trends and filtering out short-term volatility.
Very Long MA (200-period): Often considered a critical indicator for determining the overall market trend, this average helps confirm the direction and strength of long-term movements.
Forecasting:
Flat Forecast: This approach assumes that prices will remain constant in the near future, which is particularly useful in markets trading sideways without a clear trend direction.
Linear Regression Forecast: This method uses historical data to project future price movements, offering a dynamic forecast based on existing trends. It helps traders anticipate potential price changes and plan their strategies accordingly.
Advantages:
Comprehensive Trend Analysis: By incorporating four different SMAs, the indicator provides a layered view of market trends across various timeframes. This enables traders to identify potential trend reversals and continuations with greater accuracy.
Predictive Insights: The forecasting feature offers traders a forward-looking perspective, enabling them to anticipate market movements and adjust their trading strategies proactively. This can be especially advantageous in volatile markets.
Customization: The MAMA indicator is highly customizable, allowing traders to adjust parameters such as the source of price data and the inclusion of the current unclosed candle. This flexibility ensures that the indicator can be tailored to fit different trading styles and market conditions.
Visual Clarity: The use of distinct colors for each SMA and their forecasts enhances visual interpretation, making it easier for traders to quickly assess market conditions and make informed decisions. The inclusion of a legend further aids in distinguishing between the different moving averages and their respective forecasts.
How to Use:
Trend Confirmation: Use the alignment of the SMAs to confirm market trends. For example, when the Short MA crosses above the Mid and Long MAs, it may indicate a bullish trend, while the opposite could suggest a bearish trend.
Entry and Exit Points: Look for crossovers between the SMAs as potential signals for entering or exiting trades. The forecasts can help in timing these decisions by providing an expectation of future price movements.
Risk Management: Utilize the Very Long MA to set stop-loss and take-profit levels, as it reflects the long-term trend and can help in avoiding trades against the prevailing market direction.
The MAMA indicator is intended to support technical analysis and should not be used as the sole basis for making trading decisions. Financial markets are inherently uncertain, and past performance does not guarantee future results. Traders should use this tool in conjunction with other analytical methods and consider their risk tolerance and investment objectives. It is advisable to conduct thorough research and consult with a financial advisor before making significant trading decisions. Always be aware of the risks involved in trading and invest only what you can afford to lose.
Displacement [QuantVue]Displacement refers to a significant and forceful price movement that indicates a potential shift in market sentiment or trend. Displacement is characterized by a strong push in price action, often seen after a period of consolidation or within a trending market. It is a key concept used to identify the strength of a move and to confirm the direction of the market.
The "Displacement" indicator does this by focusing on identifying strong, directional price movements by combining candlestick analysis with volatility (ATR).
Displacement often appears as a group of candles that are all positioned in the same direction, these candles typically have large bodies and short wicks.
How the indicator works:
Body Size Requirement: Ensures that only candles with a significant body size (relative to their total range) are considered, helping to identify strong market moves.
Consecutive Candle Analysis: Identifies shifts in market sentiment by requiring a series of consecutive bullish or bearish candles to confirm a potential change in trend.
ATR-Based Analysis: Uses the Average True Range (ATR) to gauge market volatility and filter out minor price fluctuations, focusing on substantial movements.
Once all of the requirements are met a triangle is plotted above or below the bar.
Custom EMA Multi-Timeframe Indicator [Pineify]
This innovative indicator combines Exponential Moving Averages (EMAs) across multiple timeframes to provide traders with a comprehensive view of market trends and potential trading opportunities. By analyzing short, medium, and long-term EMAs simultaneously, this indicator offers valuable insights into market dynamics and helps identify high-probability entry and exit points.
Key Features
Multi-timeframe analysis using customizable EMAs
Visual representation of trend alignment across different timeframes
Customizable EMA lengths and sources for each timeframe
Buy and sell signals based on EMA crossovers
Alert functionality for real-time trade notifications
How It Works
The Custom EMA Multi-Timeframe Indicator calculates three separate EMAs:
1. Short-term EMA: Represents immediate market sentiment
2. Medium-term EMA: Captures intermediate trend direction
3. Long-term EMA: Reflects the overall market trend
These EMAs are plotted on the chart using different colors for easy identification. The indicator generates buy and sell signals based on the relative positions of these EMAs, providing traders with clear visual cues for potential trade entries and exits.
Trading Ideas and Insights
This indicator offers several powerful trading concepts:
Trend Alignment: When all three EMAs are aligned (short above medium above long), it indicates a strong trend. Traders can look for pullbacks to enter in the direction of the trend.
Trend Reversal: When the short-term EMA crosses above or below both the medium and long-term EMAs, it may signal a potential trend reversal. This can be used to exit existing positions or enter new trades in the opposite direction.
Range-bound Markets: When the EMAs are tightly grouped together, it suggests a consolidation phase. Traders can wait for a breakout or use range-trading strategies.
Momentum Confirmation: The speed at which the short-term EMA diverges from or converges with the longer-term EMAs can indicate the strength of the current move.
Unique Aspects
What sets this indicator apart is its ability to synthesize information from multiple timeframes into a single, easy-to-interpret visual display. Unlike traditional single-timeframe EMAs, this indicator provides a more holistic view of market trends, reducing false signals and improving trade timing.
The customizable nature of the indicator allows traders to adapt it to various trading styles and market conditions. By adjusting the EMA lengths and sources, traders can fine-tune the indicator to their specific needs and preferences.
How to Use
1. Apply the indicator to your chart
2. Customize the timeframes and EMA settings as desired
3. Look for buy signals when the short and medium EMAs cross above the long EMA
4. Look for sell signals when the short and medium EMAs cross below the long EMA
5. Use the relative positions of the EMAs to gauge overall trend strength and direction
6. Combine with other technical analysis tools for confirmation
Customization
The indicator offers extensive customization options:
Short, medium, and long timeframes can be adjusted
EMA lengths for each timeframe are customizable
EMA source (close, open, high, low, etc.) can be selected for each timeframe
Colors and line styles can be modified to suit personal preferences
Alert settings can be configured for automated trade notifications
Conclusion
The Custom EMA Multi-Timeframe Indicator is a powerful tool for traders seeking to gain a comprehensive understanding of market trends across different time horizons. By combining multiple EMAs and timeframes, it provides a unique perspective on market dynamics, helping traders make more informed decisions and potentially improve their trading results.
Whether you're a day trader looking for short-term opportunities or a swing trader focusing on longer-term trends, this indicator offers valuable insights that can enhance your trading strategy. Its flexibility and customization options make it suitable for a wide range of trading styles and market conditions.
Remember: While this indicator can be a valuable tool in your trading arsenal, it should not be used in isolation. Always combine it with other forms
Multiple EMA Indicator [Pineify]TradingView Multiple EMA Indicator: A Comprehensive Trend Analysis Tool
The TradingView Multiple EMA Indicator is a powerful and versatile tool designed to provide traders with a comprehensive view of market trends across multiple timeframes. By incorporating five Exponential Moving Averages (EMAs) with customizable lengths and sources, this indicator offers a nuanced approach to trend analysis, suitable for both novice and experienced traders.
Key Features:
Five customizable EMAs for multi-timeframe analysis
Flexible source inputs for each EMA
Color-coded plots for easy visual interpretation
Overlay functionality for direct price action comparison
How It Works:
This indicator calculates and displays five separate EMAs on your chart, each with its own customizable length and source. The EMAs are color-coded for easy identification:
EMA-1: Red
EMA-2: Light Green
EMA-3: Light Blue
EMA-4: Purple
EMA-5: Yellow
By default, the indicator uses the following settings:
EMA-1: 10-period EMA of close price
EMA-2: 20-period EMA of close price
EMA-3: 50-period EMA of close price
EMA-4: 100-period EMA of close price
EMA-5: 200-period EMA of close price
However, users can easily adjust these settings to suit their specific trading strategies and preferences.
Trading Ideas and Insights:
The Multiple EMA Indicator offers several ways to analyze market trends and generate trading signals:
Trend Identification: The alignment of the EMAs can help identify the overall trend. When shorter-term EMAs are above longer-term EMAs, it suggests an uptrend, and vice versa for a downtrend.
Dynamic Support and Resistance: Each EMA can act as a dynamic support or resistance level. Price bouncing off these levels can indicate potential entry or exit points.
Crossovers: When a shorter-term EMA crosses above a longer-term EMA, it may signal a bullish trend change. Conversely, a bearish signal may occur when a shorter-term EMA crosses below a longer-term EMA.
Trend Strength: The spacing between the EMAs can indicate trend strength. Wide spacing suggests a strong trend, while narrow spacing or intertwining EMAs may indicate consolidation or a weakening trend.
Multi-Timeframe Analysis: By using different EMA lengths, traders can gain insights into short-term, medium-term, and long-term trends simultaneously.
How to Use the Indicator:
Add the indicator to your chart and adjust the input parameters as needed.
Observe the relative positions of the EMAs to identify the overall trend direction.
Look for potential entry signals when price or shorter-term EMAs cross above or below longer-term EMAs.
Use the EMAs as dynamic support and resistance levels for setting stop-loss and take-profit orders.
Combine the Multiple EMA Indicator with other technical analysis tools, such as oscillators or volume indicators, for more comprehensive trading decisions.
Customization Options:
The indicator offers extensive customization options, allowing traders to tailor it to their specific needs:
Adjust the length of each EMA to focus on different timeframes
Change the source of each EMA (e.g., close, open, high, low, HL2, HLC3, OHLC4)
Modify the color and line thickness of each EMA for better visibility
Conclusion:
The TradingView Multiple EMA Indicator is a versatile and powerful tool for trend analysis and trade decision-making. By providing a multi-faceted view of market trends, it enables traders to make more informed decisions based on a comprehensive understanding of price action across various timeframes.
Remember that while this indicator can be a valuable tool in your trading arsenal, it should not be used in isolation. Always combine it with other forms of analysis and proper risk management techniques for the best results.
We hope this indicator enhances your trading experience and contributes to your success in the markets. Happy trading!
Gann + Laplace Smoothed Hybrid Volume Spread AnalysisThe Gann + Laplace Smoothed Hybrid Volume Spread Analysis ( GannLSHVSA ) Strategy/Indicator is an trading tool designed to fuse volume analysis with trend detection, offering traders a view of market dynamics.
This Strategy/Indicator stands apart by integrating the principles of the upgraded Discrete Fourier Transform (DFT), the Laplace Stieltjes Transform and volume spread analysis, enhanced with a layer of Fourier smoothing to distill market noise and highlight trend directions with unprecedented clarity.
The length of EMA and Strategy Entries are modified with the Gann swings .
This smoothing process allows traders to discern the true underlying patterns in volume and price action, stripped of the distractions of short-term fluctuations and noise.
The core functionality of the GannLSHVSA revolves around the innovative combination of volume change analysis, spread determination (calculated from the open and close price difference), and the strategic use of the EMA (default 10) to fine-tune the analysis of spread by incorporating volume changes.
Trend direction is validated through a moving average (MA) of the histogram, which acts analogously to the Volume MA found in traditional volume indicators. This MA serves as a pivotal reference point, enabling traders to confidently engage with the market when the histogram's movement concurs with the trend direction, particularly when it crosses the Trend MA line, signalling optimal entry points.
It returns 0 when MA of the histogram and EMA of the Price Spread are not align.
WHAT IS GannLSHVSA INDICATOR:
The GannLSHVSA plots a positive trend when a positive Volume smoothed Spread and EMA of Volume smoothed price is above 0, and a negative when negative Volume smoothed Spread and EMA of Volume smoothed price is below 0. When this conditions are not met it plots 0.
HOW TO USE THE STRATEGY:
Here you fine-tune the inputs until you find a combination that works well on all Timeframes you will use when creating your Automated Trade Algorithmic Strategy. I suggest 4h, 12h, 1D, 2D, 3D, 4D, 5D, 6D, W and M.
ORIGINALITY & USEFULNESS:
The GannLSHVSA Strategy is unique because it applies upgraded DFT, the Laplace Stieltjes Transform for data smoothing, effectively filtering out the minor fluctuations and leaving traders with a clear picture of the market's true movements. The DFT's ability to break down market signals into constituent frequencies offers a granular view of market dynamics, highlighting the amplitude and phase of each frequency component. This, combined with the strategic application of Ehler's Universal Oscillator principles via a histogram, furnishes traders with a nuanced understanding of market volatility and noise levels, thereby facilitating more informed trading decisions. The Gann swing strategy is developed by meomeo105, this Gann high and low algorithm forms the basis of the EMA modification.
DETAILED DESCRIPTION:
My detailed description of the indicator and use cases which I find very valuable.
What is the meaning of price spread?
In finance, a spread refers to the difference between two prices, rates, or yields. One of the most common types is the bid-ask spread, which refers to the gap between the bid (from buyers) and the ask (from sellers) prices of a security or asset.
We are going to use Open-Close spread.
What is Volume spread analysis?
Volume spread analysis (VSA) is a method of technical analysis that compares the volume per candle, range spread, and closing price to determine price direction.
What does this mean?
We need to have a positive Volume Price Spread and a positive Moving average of Volume price spread for a positive trend. OR via versa a negative Volume Price Spread and a negative Moving average of Volume price spread for a negative trend.
What if we have a positive Volume Price Spread and a negative Moving average of Volume Price Spread?
It results in a neutral, not trending price action.
Thus the Indicator/Strategy returns 0 and Closes all long and short positions.
I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame. I suggest using 100% equity as your default quantity for fine-tune purposes. I have to mention that 100% equity may lead to unrealistic backtesting results. Be avare. When backtesting for trading purposes use Contracts or USDT.
Brooks Always In [KintsugiTrading]Brooks Always In
Overview:
The "Brooks Always In Indicator" by KintsugiTrading is a tool designed for traders who follow price action methodologies inspired by Al Brooks. This indicator identifies key bar patterns and breakouts, plots an Exponential Moving Average (EMA), and highlights consecutive bullish and bearish bars. It is intended to assist traders in making informed decisions based on price action dynamics.
Features:
Consecutive Bar Patterns:
Identifies and highlights consecutive bullish and bearish bars.
Differentiates between bars that are above/below the EMA and those that are not.
Customizable EMA:
Option to display an Exponential Moving Average (EMA) with user-defined length and offset.
The EMA can be smoothed using various methods such as SMA, EMA, SMMA (RMA), WMA, and VWMA.
Breakout Patterns:
Recognizes bullish and bearish breakout bars and outside bars.
Tracks inside bars and prior bar conditions to better understand the market context.
Customizable Display:
Users can display or hide the EMA, consecutive bar patterns, and consecutive bars relative to the moving average.
How to Use:
Customize Settings:
First, I like to navigate to the top right corner of the chart (bolt icon), and change both the bull and bear body color to match the background (white/black) - this helps the user visualize the indicator far better.
Next, Toggle to display EMA, consecutive bar patterns, and consecutive bars relative to the moving average using the provided input options.
Adjust the EMA length, source, and offset as per your trading strategy.
Select the smoothing method and length for the EMA if desired.
Analyze Key Patterns:
Observe the highlighted bars on the chart to identify consecutive bullish and bearish patterns.
Use the plotted EMA to gauge the general trend and analyze the relationship between price bars and the moving average.
Informed Decision Making:
Utilize the identified bar patterns and breakouts to make informed trading decisions, such as identifying potential entry and exit points based on price action dynamics.
Good luck with your trading!
Linear Regression ChannelLinear Regression Channel with Logarithmic Scale Option
This advanced Linear Regression Channel indicator offers traders a powerful tool for technical analysis, with unique features that set it apart from standard implementations.
Key Features:
Logarithmic Scale Option: One of the most distinctive aspects of this indicator is the ability to switch between classic and logarithmic scales. This feature is particularly valuable for long-term analysis, as it ensures that equal percentage changes are represented equally, regardless of the price level.
Flexible Start Date: Unlike many indicators that rely on a fixed number of periods, this tool allows users to set a specific start date and time. This feature provides precise control over the regression analysis timeframe, enhancing its adaptability to various trading strategies.
Customizable Channel Settings: Users can adjust the upper and lower deviation multipliers, allowing for fine-tuning of the channel width to suit different market conditions and trading styles.
Trend Strength Indicator: An optional feature that displays the strength of the trend based on the Pearson correlation coefficient, offering additional insight into the reliability of the current trend.
Comprehensive Visual Customization: The indicator offers extensive color and style options for the regression line, upper and lower channel lines, and fill areas, allowing traders to create a visually appealing and easy-to-read chart setup.
Extended Line Options: Users can choose to extend the regression lines to the left, right, or both, facilitating projection and analysis of future price movements.
Multiple Alert Conditions: The indicator includes four alert conditions for crossing the upper deviation, lower deviation, and the main regression line in both directions, enhancing its utility for active traders.
Why Choose This Indicator:
The combination of logarithmic scale option and flexible start date setting makes this Linear Regression Channel uniquely suited for both short-term and long-term analysis. The logarithmic scale is particularly beneficial for analyzing assets with significant price changes over time, as it normalizes percentage moves across different price levels. This feature, coupled with the ability to set a precise start date, allows traders to perform more accurate and relevant regression analyses, especially when studying specific market cycles or events.
Moreover, the trend strength indicator and customizable visual elements provide traders with a comprehensive tool that not only identifies potential support and resistance levels but also offers insight into the reliability and strength of the current trend.
In summary, this Linear Regression Channel indicator combines flexibility, precision, and insightful analytics, making it an invaluable tool for traders seeking to enhance their technical analysis capabilities on TradingView.
TP RSITP RSI - Integrated Trend, Momentum, and Volatility Analyzer
The TP RSI indicator is an innovative 3-in-1 technical analysis tool that combines RSI, Bollinger Bands, and an EMA ribbon to provide traders with a comprehensive view of trend, momentum, and volatility in a single, easy-to-interpret visual display.
Why This Combination? This mashup addresses three critical aspects of market analysis simultaneously:
Trend identification and strength (EMA ribbon)
Momentum measurement (RSI)
Volatility assessment (Bollinger Bands)
By integrating these components, traders can make more informed decisions based on multiple factors without switching between different indicators.
How Components Work Together:
1. EMA Ribbon (Trend):
10 EMAs form 5 color-coded bands
Blue: Uptrend, Red: Downtrend
Provides a nuanced view of trend strength and potential reversals
2. RSI (Momentum):
Color-coded for quick interpretation
Blue: Upward momentum, Red: Downward momentum, White: Neutral
Position relative to the ribbon offers additional insight
3. Bollinger Bands (Volatility):
Applied to RSI for dynamic overbought/oversold levels
Narrow bands indicate low volatility, suggesting potential breakouts
Unique Aspects and Originality:
Synergistic visual cues: Color coordination between ribbon and RSI
Multi-factor confirmation: Requires alignment of trend, momentum, and volatility for strong signals
Volatility-adjusted momentum: RSI interpreted within the context of Bollinger Bands
How these components work together:
Buy Signal: Blue ribbon with blue RSI outside the ribbon.
Sell Signal: Red ribbon with red RSI outside the ribbon.
Neutral: White RSI or RSI inside the ribbon (not recommended for trading)
Increasing Momentum: RSI crossing above upper Bollinger Band (upward) or below lower Band (downward).
Trend Strength: RSI rejection by the ribbon, while all bands are colored along with the trend direction, identifies a strong trend.
