Quantum RSI Signals Suite [QuantAlgo]Introducing Quantum RSI Signals Suite 🎯💫
The Quantum RSI Signals Suite by QuantAlgo is a sophisticated technical indicator that combines statistical z-score analysis with enhanced trend following to identify market trends and reversals. This premium system integrates normalized RSI readings with multi-timeframe statistical measurements to help traders and investors identify trend direction and potential reversals. By evaluating both RSI dynamics and directional trend analysis together, this tool enables users to make data-driven trading decisions with statistical validation.
🌊 Indicator Architecture
The Quantum RSI Signals Suite provides a unique framework for assessing market trends through a blend of normalized RSI and dynamic trend-weighted z-score calculations. Unlike traditional RSI indicators that use fixed overbought/oversold levels, this system incorporates statistical measurements and directional trend analysis to adjust sensitivity automatically. By combining normalized RSI values with adaptive z-score zones and trend following analysis, it evaluates both current market conditions and historical context, while the statistical parameters ensure stable yet responsive signals. This quantum approach allows users to identify trending conditions while remaining aware of statistical extremes, enhancing both trend-following and mean-reversion strategies.
📊 Technical Composition and Calculation
The Quantum RSI Signals Suite is composed of several technical components that create a dynamic trending system:
RSI Normalization: Utilizes scaled RSI values (-1 to 1) for balanced momentum representation
Z-Score Analysis: Computes statistical significance of RSI movements to determine dynamic zones
Trend Following Analysis: Analyzes historical z-score movements to identify persistent trends
Signal Amplification: Combines z-score with trend analysis for enhanced signal generation
📈 Key Indicators and Features
The Quantum RSI Signals Suite utilizes normalized RSI with customizable length and z-score parameters to adapt to different trading styles. Advanced calculations are applied to determine statistical significance levels, providing context-aware boundaries for trend identification. The trend following component evaluates historical z-score movements to validate signals and identify potential reversals.
The indicator incorporates multi-layered visualization with:
Color-coded histogram and trend representation (bullish/bearish)
Combined statistical and trend-based signals
Dynamic trend-weighted scoring system
Mean reversion signals with distinct markers (⤻/↷)
Gradient fills for better visual clarity
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Signals: Watch the final score's position relative to the zero line to identify trend direction and potential reversals. The combined histogram and line visualization makes trend changes clearly visible.
🎯 Track Signals: Pay attention to the mean reversion markers that appear above and below the price chart:
→ Upward triangles (⤻) signal potential bullish reversals when final score crosses above zero
→ X crosses (↷) indicate potential bearish reversals when final score crosses below zero
🔔 Set Alerts: Configure alerts for trend changes in both bullish and bearish directions, ensuring you can act on significant technical developments promptly.
🌟 Summary and Tips
The Quantum RSI Signals Suite by QuantAlgo is a sophisticated technical tool, designed to support both trend following and mean reversion strategies across different market environments. By combining normalized RSI analysis with statistical z-score measurements and trend following analysis, it helps traders and investors identify significant trend changes while measuring statistical extremes, providing validated signals. The tool's adaptability through customizable RSI length, z-score parameters, and trend analysis settings makes it suitable for various trading timeframes and styles, allowing users to capture opportunities while maintaining awareness of statistical market conditions.
Key parameters to optimize for your trading or investing style:
RSI Length: Adjust for more or less sensitivity to price changes (default: 14)
Z-Score Length: Fine-tune the statistical window for signal stability (default: 20)
Trend Analysis Range: Balance historical context with current market conditions
Source Data: Customize price input for specialized strategies
Signals
Alternate Bat Harmonic Pattern [TradingFinder] ALT Bat Indicator🔵 Introduction
The Alternate Bat harmonic pattern is one of the most precise and practical tools in technical analysis, introduced by Scott Carney in 2003. This pattern focuses on specific Fibonacci ratios, such as 0.382 at point B and 1.13XA at point D, to identify Potential Reversal Zones (PRZ) where price is likely to reverse.
The Alternative Bat pattern emerged as a result of repeated failures observed in the standard Bat pattern. Traders entering trades near the 0.886XA level of the standard Bat often encountered losses. In the Alternate Bat, point D extends beyond 0.886XA, typically reversing at 1.13XA, offering a more accurate identification of the reversal zone.
A key characteristic of this pattern is its M- or W-shaped structure, where the midpoint B retraces 0.382XA or less. Additionally, the CD leg requires an extension of 2.0 to 3.618 to complete the pattern. Due to its accuracy and the predictable behavior of price near the PRZ, the Alternate Bat pattern is recognized as a powerful tool for forecasting price reversals.
In the bullish Alternative Bat pattern, an M-shaped structure forms. After an initial upward movement (XA), price undergoes a short correction at point B (0.382XA) and then declines toward point D (1.13XA and an extension of 2.0 to 3.618BC), where a potential upward reversal is expected.
In the bearish Alternate Bat pattern, a W-shaped structure forms. After an initial downward movement (XA), price retraces slightly at point B (0.382XA) and then rises toward point D (1.13XA and an extension of 2.0 to 3.618BC), where a potential downward reversal is anticipated.
🔵 How to Use
The Alternate Bat harmonic pattern is a key tool for identifying potential reversal zones (PRZ) in the market. By leveraging the 0.382 retracement at point B and the 1.13XA extension at point D, along with symmetrical price structures, this pattern offers precise reversal opportunities in both bullish and bearish market conditions.
🟣 Bullish Alternate Bat Pattern
The bullish Alternate Bat pattern forms during a downtrend, signaling a potential reversal to the upside. This pattern consists of three downward movements with two corrective waves, ultimately reaching point D, which marks the PRZ.
At the PRZ, the convergence of Fibonacci levels—1.13XA and extensions ranging from 2.0 to 3.618BC—creates a strong support zone where price is likely to reverse upward.
🟣 Bearish Alternative Bat Pattern
The bearish Alternate Bat pattern develops during an uptrend, indicating a potential reversal to the downside. This pattern features three upward price movements with two retracements, ending at point D, where the PRZ forms.
Point D is defined by the 1.13XA extension and the 2.0 to 3.618BC projection, creating a strong resistance zone where price is expected to reverse downward.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Format : If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Alternate Bat harmonic pattern, with its precise Fibonacci ratios like 0.382 and 1.13XA, is a reliable tool for identifying Potential Reversal Zones (PRZ) in financial markets. By recognizing symmetrical price structures and focusing on both bullish and bearish scenarios, traders can identify optimal entry and exit points with high accuracy.
The key strength of this pattern lies in its ability to define strong support and resistance zones near the PRZ, increasing the probability of price reversals. Combining the pattern with candlestick confirmations and volume analysis enhances its effectiveness.
Ultimately, incorporating the Alternative Bat pattern with proper risk management and Fibonacci-based targets allows traders to enter the market confidently and capitalize on potential price reversals.
Mean Reversion IndicatorSMA with Deviation and Z-Score Indicator
Overview:
This indicator combines the Simple Moving Average (SMA) with statistical measures of price deviation to identify potential buy and sell signals based on mean reversion principles. It calculates the Z-Score, which quantifies how far the current price is from its moving average in terms of standard deviations, helping traders spot when an asset might be overbought or oversold.
Key Features:
SMA Calculation: Uses a user-defined period to compute a Simple Moving Average, providing a baseline for price movement.
Z-Score: Measures the number of standard deviations the current price is from the SMA. This is crucial for identifying extreme price movements.
Formula: Z-Score = (Current Price - SMA) / Standard Deviation
Signal Generation:
Buy Signal: Generated when the Z-Score falls below a predefined threshold, suggesting the price is significantly below its mean and potentially undervalued.
Sell Signal: Triggered when the Z-Score exceeds another threshold, indicating the price is significantly above its mean and possibly overvalued.
Visual Indicators:
SMA Line: Plotted in blue on the chart for easy reference.
Z-Score Line: Available but hidden by default, can be shown if needed for deeper analysis.
Buy/Sell Signals: Represented by green up-arrows for buy signals and red down-arrows for sell signals.
Background Color: Changes to green or red subtly to indicate buy or sell zones based on Z-Score thresholds.
Z-Score Label: Provides the numerical Z-Score for each bar, aiding in precise decision-making.
Customizable Parameters:
SMA Length: Adjust the period over which the SMA is calculated.
Lookback Period: Set the number of periods for calculating the standard deviation and Z-Score.
Buy/Sell Z-Scores: Thresholds for generating buy and sell signals can be tailored to your strategy or market conditions. FX:EURUSD FX:EURUSD
Usage Tips:
This indicator is best used in conjunction with other forms of analysis for confirmation. Mean reversion does not always hold in trending markets.
Adjust the Z-Score thresholds based on asset volatility for more or less frequent signals.
Backtest with historical data to optimize settings for your specific trading approach.
Note: While this indicator can help identify potential trading opportunities based on statistical anomalies, it does not guarantee success and should be part of a broader trading strategy that includes risk management and market context understanding.
DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades.
Core Components:
1. Exponential Moving Averages (EMAs):
Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum.
2. Supertrend Indicator:
The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it.
3. RSI Filter:
The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal.
4. Time Filters:
The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity.
5. Risk Management via ATR-based Stops and Targets:
Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions.
Overall Logic Flow:
- First, the market conditions are analyzed through EMAs, Supertrend, and RSI.
- When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position.
- Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position.
- Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples.
Intended Result:
By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach.
In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
LRI Momentum Cycles [AlgoAlpha]Discover the LRI Momentum Cycles indicator by AlgoAlpha, a cutting-edge tool designed to identify market momentum shifts using trend normalization and linear regression analysis. This advanced indicator helps traders detect bullish and bearish cycles with enhanced accuracy, making it ideal for swing traders and intraday enthusiasts alike.
Key Features :
🎨 Customizable Appearance : Set personalized colors for bullish and bearish trends to match your charting style.
🔧 Dynamic Trend Analysis : Tracks market momentum using a unique trend normalization algorithm.
📊 Linear Regression Insight : Calculates real-time trend direction using linear regression for better precision.
🔔 Alert Notifications : Receive alerts when the market switches from bearish to bullish or vice versa.
How to Use :
🛠 Add the Indicator : Favorite and apply the indicator to your TradingView chart. Adjust the lookback period, linear regression source, and regression length to fit your strategy.
📊 Market Analysis : Watch for color changes on the trend line. Green signals bullish momentum, while red indicates bearish cycles. Use these shifts to time entries and exits.
🔔 Set Alerts : Enable notifications for momentum shifts, ensuring you never miss critical market moves.
How It Works :
The LRI Momentum Cycles indicator calculates trend direction by applying linear regression on a user-defined price source over a specified period. It compares historical trend values, detecting bullish or bearish momentum through a dynamic scoring system. This score is normalized to ensure consistent readings, regardless of market conditions. The indicator visually represents trends using gradient-colored plots and fills to highlight changes in momentum. Alerts trigger when the momentum state changes, providing actionable trading signals.
ATR% multiple historyThe average true range (ATR) is a technical analysis indicator introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems. It measures market volatility by decomposing the entire range of an asset's price for that period.
The true range is calculated as the greatest of the following: the current high minus the current low; the absolute value of the current high minus the previous close; and the absolute value of the current low minus the previous close.
The ATR is then a moving average, generally using 14 days, of the true ranges. Therefore, the parameter "Length" in this indicator is set to 14 by default.
This indicator offers three "Smoothing" techniques: RMA, SMA, and EMA, to calculate ATR. RMA is set as the default.
ATR% is calculated by dividing the ATR by the close of the latest bar.
The ATR% multiple builds on ATR%, serving as a measurable gauge of price extension from 50-MA. It is calculated by dividing the distance between the price and the 50-MA by ATR%. Users can change how the distance between the price and the 50-MA is calculated by switching the "Price" parameter among the high, close, and open of the bar.
Each security has a historical ATR% multiple at which it tends to retrace. This is not necessarily a "short" signal. Instead, it can be used as a signal to sell further into strength or avoid initiating new/additional entries.
ATR% multiples from the 50-MA can also be used as a tool for monitoring market indices, assessing technical headwinds versus tailwinds, and determining whether to take on risk or hold positions and wait.
This indicator can show the real-time ATR% multiple from the 50-MA as well as historical data. As shown in the chart above, SPY usually pulls back at over a 5X ATR% multiple in its history, so new exposures can be avoided at that time.
There are five horizontal lines in this indicator, with values of 0, 4, 6, 8, and 10. These five lines can be hidden, and their colors and line widths can be customized. When the ATR% multiple drops below zero, the line's color turns red.
Adaptive Price Zone Oscillator [QuantAlgo]Adaptive Price Zone Oscillator 🎯📊
The Adaptive Price Zone (APZ) Oscillator by QuantAlgo is an advanced technical indicator designed to identify market trends and reversals through adaptive price zones based on volatility-adjusted bands. This sophisticated system combines typical price analysis with dynamic volatility measurements to help traders and investors identify trend direction, potential reversals, and market volatility conditions. By evaluating both price action and volatility together, this tool enables users to make informed trading decisions while adapting to changing market conditions.
💫 Dynamic Zone Architecture
The APZ Oscillator provides a unique framework for assessing market trends through a blend of smoothed typical prices and volatility-based calculations. Unlike traditional oscillators that use fixed parameters, this system incorporates dynamic volatility measurements to adjust sensitivity automatically, helping users determine whether price movements are significant relative to current market conditions. By combining smoothed price trends with adaptive volatility zones, it evaluates both directional movement and market volatility, while the smoothing parameters ensure stable yet responsive signals. This adaptive approach allows users to identify trending conditions while remaining aware of volatility expansions and contractions, enhancing both trend-following and mean-reversion strategies.
📊 Indicator Components & Mechanics
The APZ Oscillator is composed of several technical components that create a dynamic trending system:
Typical Price: Utilizes HLC3 (High, Low, Close average) as a balanced price representation
Volatility Measurement: Computes exponential moving average of price changes to determine dynamic zones
Smoothed Calculations: Applies additional smoothing to reduce noise while maintaining responsiveness
Trend Detection: Evaluates price position relative to adaptive zones to determine market direction
📈 Key Indicators and Features
The APZ Oscillator utilizes typical price with customizable length and threshold parameters to adapt to different trading styles. Volatility calculations are applied to determine zone boundaries, providing context-aware levels for trend identification. The trend detection component evaluates price action relative to the adaptive zones, helping validate trends and identify potential reversals.
The indicator also incorporates multi-layered visualization with:
Color-coded trend representation (bullish/bearish)
Clear trend state indicators (+1/-1)
Mean reversion signals with distinct markers
Gradient fills for better visual clarity
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator : Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trend State : Watch the oscillator's position relative to the zero line to identify trend direction and potential reversals. The step-line visualization with diamonds makes trend changes clearly visible.
🎯 Track Signals : Pay attention to the mean reversion markers that appear above and below the price chart:
→ Upward triangles (⤻) signal potential bullish reversals
→ X crosses (↷) indicate potential bearish reversals
🔔 Set Alerts : Configure alerts for trend changes in both bullish and bearish directions, ensuring you can act on significant technical developments promptly.
🌟 Summary and Tips
The Adaptive Price Zone Oscillator by QuantAlgo is a versatile technical tool, designed to support both trend following and mean reversion strategies across different market environments. By combining smoothed typical price analysis with dynamic volatility-based zones, it helps traders and investors identify significant trend changes while measuring market volatility, providing reliable technical signals. The tool's adaptability through customizable length, threshold, and smoothing parameters makes it suitable for various trading timeframes and styles, allowing users to capture opportunities while maintaining awareness of changing market conditions.
Key parameters to optimize for your trading style:
APZ Length: Adjust for more or less sensitivity to price changes
Threshold: Fine-tune the volatility multiplier for wider or narrower zones
Smoothing: Balance noise reduction with signal responsiveness
300-Candle Weighted Average Zones w/50 EMA SignalsThis indicator is designed to deliver a more nuanced view of price dynamics by combining a custom, weighted price average with a volatility-based zone and a trend filter (in this case, a 50-period exponential moving average). The core concept revolves around capturing the overall price level over a relatively large lookback window (300 candles) but with an intentional bias toward recent market activity (the most recent 20 candles), thereby offering a balance between long-term context and short-term responsiveness. By smoothing this weighted average and establishing a “zone” of standard deviation bands around it, the indicator provides a refined visualization of both average price and its recent volatility envelope. Traders can then look for confluence with a standard trend filter, such as the 50 EMA, to identify meaningful crossover signals that may represent trend shifts or opportunities for entry and exit.
What the Indicator Does:
Weighted Price Average:
Instead of using a simple or exponential moving average, this indicator calculates a custom weighted average price over the past 300 candles. Most historical candles receive a base weight of 1.0, but the most recent 20 candles are assigned a higher weight (for example, a weight of 2.0). This weighting scheme ensures that the calculation is not simply a static lookback average; it actively emphasizes current market conditions. The effect is to generate an average line that is more sensitive to the most recent price swings while still maintaining the historical context of the previous 280 candles.
Smoothing of the Weighted Average:
Once the raw weighted average is computed, an exponential smoothing function (EMA) is applied to reduce noise and produce a cleaner, more stable average line. This smoothing helps traders avoid reacting prematurely to minor price fluctuations. By stabilizing the average line, traders can more confidently identify actual shifts in market direction.
Volatility Zone via Standard Deviation Bands:
To contextualize how far price can deviate from this weighted average, the indicator uses standard deviation. Standard deviation is a statistical measure of volatility—how spread out the price values are around the mean. By adding and subtracting one standard deviation from the smoothed weighted average, the indicator plots an upper band and a lower band, creating a zone or channel. The area between these bands is filled, often with a semi-transparent color, highlighting a volatility corridor within which price and the EMA might oscillate.
This zone is invaluable in visualizing “normal” price behavior. When the 50 EMA line and the weighted average line are both within this volatility zone, it indicates that the market’s short- to mid-term trend and its average pricing are aligned well within typical volatility bounds.
Incorporation of a 50-Period EMA:
The inclusion of a commonly used trend filter, the 50 EMA, adds another layer of context to the analysis. The 50 EMA, being a widely recognized moving average length, is often considered a baseline for intermediate trend bias. It reacts faster than a long-term average (like a 200 EMA) but is still stable enough to filter out the market “chop” seen in very short-term averages.
By overlaying the 50 EMA on this custom weighted average and the surrounding volatility zone, the trader gains a dual-dimensional perspective:
Trend Direction: If the 50 EMA is generally above the weighted average, the short-term trend is gaining bullish momentum; if it’s below, the short-term trend has a bearish tilt.
Volatility Normalization: The bands, constructed from standard deviations, provide a sense of whether the price and the 50 EMA are operating within a statistically “normal” range. If the EMA crosses the weighted average within this zone, it signals a potential trend initiation or meaningful shift, as opposed to a random price spike outside normal volatility boundaries.
Why a Trader Would Want to Use This Indicator:
Contextualized Price Level:
Standard MAs may not fully incorporate the most recent price dynamics in a large lookback window. By weighting the most recent candles more heavily, this indicator ensures that the trader is always anchored to what the market is currently doing, not just what it did 100 or 200 candles ago.
Reduced Whipsaw with Smoothing:
The smoothed weighted average line reduces noise, helping traders filter out inconsequential price movements. This makes it easier to spot genuine changes in trend or sentiment.
Visual Volatility Gauge:
The standard deviation bands create a visual representation of “normal” price movement. Traders can quickly assess if a breakout or breakdown is statistically significant or just another oscillation within the expected volatility range.
Clear Trade Signals with Confirmation:
By integrating the 50 EMA and designing signals that trigger only when the 50 EMA crosses above or below the weighted average while inside the zone, the indicator provides a refined entry/exit criterion. This avoids chasing breakouts that occur in abnormal volatility conditions and focuses on those crossovers likely to have staying power.
How to Use It in an Example Strategy:
Imagine you are a swing trader looking to identify medium-term trend changes. You apply this indicator to a chart of a popular currency pair or a leading tech stock. Over the past few days, the 50 EMA has been meandering around the weighted average line, both confined within the standard deviation zone.
Bullish Example:
Suddenly, the 50 EMA crosses decisively above the weighted average line while both are still hovering within the volatility zone. This might be your cue: you interpret this crossover as the 50 EMA acknowledging the recent upward shift in price dynamics that the weighted average has highlighted. Since it occurred inside the normal volatility range, it’s less likely to be a head-fake. You place a long position, setting an initial stop just below the lower band to protect against volatility.
If the price continues to rise and the EMA stays above the average, you have confirmation to hold the trade. As the price moves higher, the weighted average may follow, reinforcing your bullish stance.
Bearish Example:
On the flip side, if the 50 EMA crosses below the weighted average line within the zone, it suggests a subtle but meaningful change in trend direction to the downside. You might short the asset, placing your protective stop just above the upper band, expecting that the statistically “normal” level of volatility will contain the price action. If the price does break above those bands later, it’s a sign your trade may not work out as planned.
Other Indicators for Confluence:
To strengthen the reliability of the signals generated by this weighted average zone approach, traders may want to combine it with other technical studies:
Volume Indicators (e.g., Volume Profile, OBV):
Confirm that the trend crossover inside the volatility zone is supported by volume. For instance, an uptrend crossover combined with increasing On-Balance Volume (OBV) or volume spikes on up candles signals stronger buying pressure behind the price action.
Momentum Oscillators (e.g., RSI, Stochastics):
Before taking a crossover signal, check if the RSI is above 50 and rising for bullish entries, or if the Stochastics have turned down from overbought levels for bearish entries. Momentum confirmation can help ensure that the trend change is not just an isolated random event.
Market Structure Tools (e.g., Pivot Points, Swing High/Low Analysis):
Identify if the crossover event coincides with a break of a previous pivot high or low. A bullish crossover inside the zone aligned with a break above a recent swing high adds further strength to your conviction. Conversely, a bearish crossover confirmed by a breakdown below a previous swing low can make a short trade setup more compelling.
Volume-Weighted Average Price (VWAP):
Comparing where the weighted average zone lies relative to VWAP can provide institutional insight. If the bullish crossover happens while the price is also holding above VWAP, it can mean that the average participant in the market is in profit and that the trend is likely supported by strong hands.
This indicator serves as a tool to balance long-term perspective, short-term adaptability, and volatility normalization. It can be a valuable addition to a trader’s toolkit, offering enhanced clarity and precision in detecting meaningful shifts in trend, especially when combined with other technical indicators and robust risk management principles.
EMA Volatility Channel [QuantAlgo]EMA Volatility Channel 🌊📈
The EMA Volatility Channel by QuantAlgo is an advanced technical indicator designed to capture price volatility and trend dynamics through adaptive channels based on exponential moving averages. This sophisticated system combines EMA-based trend analysis with dynamic volatility-adjusted bands to help traders and investors identify trend direction, potential reversals, and market volatility conditions. By evaluating both price momentum and volatility together, this tool enables users to make informed trading decisions while adapting to changing market conditions.
💫 Dynamic Channel Architecture
The EMA Volatility Channel provides a unique framework for assessing market trends through a blend of exponential moving averages and volatility-based channel calculations. Unlike traditional channel indicators that use fixed-width bands, this system incorporates dynamic volatility measurements to adjust channel width automatically, helping users determine whether price movements are significant relative to current market conditions. By combining smooth EMA trends with adaptive volatility bands, it evaluates both directional movement and market volatility, while the smoothing parameters ensure stable yet responsive channel adjustments. This adaptive approach allows users to identify trending conditions while remaining aware of volatility expansions and contractions, enhancing both trend-following and reversal strategies.
📊 Indicator Components & Mechanics
The EMA Volatility Channel is composed of several technical components that create a dynamic channel system:
EMA Midline: Calculates a smoothed exponential moving average that serves as the channel's centerline, providing a clear reference for trend direction.
Volatility Measurement: Computes average price movement to determine dynamic channel width, adapting to changing market conditions automatically.
Smooth Band Calculation: Applies additional smoothing to the channel bands, reducing noise while maintaining responsiveness to significant price movements.
📈 Key Indicators and Features
The EMA Volatility Channel combines various technical tools to deliver a comprehensive analysis of market conditions.
The indicator utilizes exponential moving averages with customizable length and smoothing parameters to adapt to different trading styles. Volatility calculations are applied to determine channel width, providing context-aware boundaries for price movement. The trend detection component evaluates price action relative to the channel bands, helping validate trends and identify potential reversals.
The indicator incorporates multi-layered visualization with color-coded channels and bars to signal both trend direction and market position. These adaptive visual cues, combined with programmable alerts for channel breakouts, help traders and investors track both trend changes and volatility conditions, supporting both trend-following and mean-reversion strategies.
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Channel Position: Watch the price position relative to the channel bands to identify trend direction and potential reversals. When price moves outside the channel, consider potential trend changes or extreme conditions.
🔔 Set Alerts: Configure alerts for channel breakouts and trend changes, ensuring you can act on significant technical developments promptly.
🌟 Summary and Tips
The EMA Volatility Channel by QuantAlgo is a versatile technical tool, designed to support both trend following and volatility analysis across different market environments. By combining smooth EMA trends with dynamic volatility-based channels, it helps traders and investors identify significant price movements while measuring market volatility, providing reliable technical signals. The tool's adaptability across timeframes makes it suitable for both trend-following and reversal strategies, allowing users to capture opportunities while maintaining awareness of changing market conditions.
Triple Smoothed Signals [AlgoAlpha]Introducing the Triple Smoothed Signals indicator by AlgoAlpha, a powerful tool designed to help traders identify trend direction and market momentum with greater accuracy. By applying triple smoothing techniques to your chosen data source, this indicator filters out market noise, allowing you to focus on significant price movements. Perfect for traders looking to enhance their technical analysis and gain an edge in the markets.
Key Features
🎨 Customizable Moving Averages : Choose between EMA, SMA, RMA, or WMA for both the triple smoothing and the signal line to tailor the indicator to your trading style.
🛠 Adjustable Smoothing Lengths : Configure the main smoothing length and signal length to fit different timeframes and market conditions.
🌈 Dynamic Color Fills : Visual gradients and fills highlight trend strength and direction, making chart analysis more intuitive.
🔔 Alerts : Set alerts for bullish and bearish crossover signals to stay ahead of market moves without constant chart monitoring.
📈 Clear Signal Visualization : Bullish and bearish signals are plotted directly on your chart for easy interpretation and timely decision-making.
Quick Guide to Using the Triple Smoothed Signals Indicator
🛠 Add the Indicator : Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites. Customize the settings such as the main smoothing length, signal length, data source, and moving average types to match your trading strategy.
📊 Market Analysis : Monitor the crossovers between the triple smoothed moving average and the signal line. A bullish signal is generated when the signal line crosses under the triple smoothed MA, indicating a potential upward trend. Conversely, a bearish signal occurs when the signal line crosses over the triple smoothed MA, suggesting a possible downward trend.
🔔 Alerts : Enable notifications for reversal signals and trend shifts to stay informed about market movements without constantly monitoring the chart.
How It Works
The Triple Smoothed Signals indicator enhances trend detection by applying a triple smoothing process to your selected data source using the moving average type of your choice (EMA, SMA, RMA, or WMA). This triple smoothed moving average (v1) effectively reduces short-term fluctuations and noise, revealing the underlying market trend. A signal line (v2) is then calculated by smoothing the triple smoothed MA with a separate moving average, further refining the signal. The indicator calculates the normalized distance between the triple smoothed MA and the signal line over a specified period, which is used to create dynamic color gradients and fills on the chart. These visual elements provide immediate insight into trend strength and direction. Bullish and bearish signals are generated based on the crossovers between the signal line and the triple smoothed MA, and are plotted directly on the chart along with customizable alerts to assist traders in making timely decisions.
Advanced Pattern Detector**Script Overview**
**Indicator Name:** Advanced Pattern Detector
**Pine Script Version:** v5
**Indicator Type:** Overlaid on the chart (overlay=true)
**Main Features:**
- Detection and visualization of various technical patterns.
- Generation of BUY and SELL signals based on detected patterns.
- Display of Fibonacci levels to identify potential support and resistance levels.
- Ability to enable or disable each pattern through the indicator settings.
---
**Indicator Settings**
**Switches to Enable/Disable Patterns**
At the top of the indicator, there are parameters that allow the user to select which patterns will be displayed on the chart:
- Three Drives
- Rounding Top
- Rounding Bottom
- ZigZag Pattern
- Inverse Head and Shoulders
- Fibonacci Retracement
**Parameters for ZigZag**
Settings are also available for the ZigZag pattern, such as the depth of peak and trough detection, allowing the user to adjust the indicator's sensitivity to price changes.
---
**Pattern Detection**
Each pattern is implemented with its own logic, which checks specific conditions on the current bar (candle). Below are the main patterns:
1. **Three Drives**
- **Description:** This pattern consists of three consecutive price movements in one direction (up or down). It can signal the continuation of the current trend or its reversal.
- **How It Works:**
- **Upward Drive:** The indicator checks that the closing price of each subsequent candle is higher than the previous one for three bars.
- **Downward Drive:** The indicator checks that the closing price of each subsequent candle is lower than the previous one for three bars.
2. **Rounding Top**
- **Description:** A pattern representing a smooth decrease in maximum prices over several bars, which may indicate a potential downward trend reversal.
- **How It Works:**
- The indicator checks that the maximum prices of the last five bars are gradually decreasing, and the current bar shows a decrease in the maximum price.
3. **Rounding Bottom**
- **Description:** A pattern characterized by a smooth increase in minimum prices over several bars, signaling a possible upward trend reversal.
- **How It Works:**
- The indicator checks that the minimum prices of the last five bars are gradually increasing, and the current bar shows an increase in the minimum price.
4. **ZigZag Pattern**
- **Description:** Used to identify corrective movements on the chart. The pattern shows peak and trough points connected by lines, helping to visualize the main price movement.
- **How It Works:**
- The indicator uses a function to determine local maxima and minima based on the specified depth.
- Detected peaks and troughs are connected by lines to create a visual zigzag structure.
5. **Inverse Head and Shoulders**
- **Description:** An inverted head and shoulders formation signals a possible reversal of a downward trend to an upward one.
- **How It Works:**
- The indicator looks for three local minima: the left shoulder, the head (the lowest minimum), and the right shoulder.
- It checks that the left and right shoulders are approximately at the same level and below the head.
6. **Fibonacci Retracement Levels**
- **Description:** Automatically builds key Fibonacci levels based on the maximum and minimum prices over the last 50 bars. These levels are often used as potential support and resistance levels.
- **How It Works:**
- Daily, the minimum and maximum prices over the last 50 bars are calculated.
- Based on these values, Fibonacci levels are drawn: 100%, 23.6%, 38.2%, 50%, 61.8%, and 0%.
- Old levels are removed when a new day begins to keep the chart clean and up-to-date.
---
**Generation of Buy and Sell Signals**
The indicator combines the results of detected patterns to generate trading signals:
- **Buy Signals (BUY):**
- Rounding Bottom
- Three Drives Up
- Inverse Head and Shoulders
- ZigZag Low
- **Sell Signals (SELL):**
- Rounding Top
- Three Drives Down
- Inverse Head and Shoulders
- ZigZag High
**How It Works:**
- If one or more buy conditions are met, a "BUY" label is displayed below the corresponding bar on the chart.
- If one or more sell conditions are met, a "SELL" label is displayed above the corresponding bar on the chart.
---
**Visualization of Patterns on the Chart**
Each detected pattern is visualized using various graphical elements, allowing traders to easily identify them on the chart:
- **Three Drives Up:** Green upward triangle below the bar.
- **Three Drives Down:** Red downward triangle above the bar.
- **Rounding Top:** Orange "RT" label above the bar.
- **Rounding Bottom:** Blue "RB" label below the bar.
- **Inverse Head and Shoulders:** Turquoise "iH&S" label below the bar.
- **ZigZag High/Low:** Purple circles at the peaks and troughs of the zigzag.
---
**Displaying Fibonacci Levels**
Fibonacci levels are displayed as horizontal lines on the chart with corresponding labels. These levels help traders determine potential entry and exit points, as well as support and resistance levels.
---
**Drawing ZigZag Lines**
ZigZag lines connect the detected peaks and troughs, visualizing corrective movements. To avoid cluttering the chart, the number of lines is limited, and old lines are automatically removed as new ones are added.
ABCD Harmonic Pattern [TradingFinder] ABCD Pattern indicator🔵 Introduction
The ABCD harmonic pattern is a tool for identifying potential reversal zones (PRZ) by using Fibonacci ratios to pinpoint critical price reversal points on price charts.
This pattern consists of four key points, labeled A, B, C, and D. In this structure, the AB and CD waves move in the same direction, while the BC wave acts as a corrective wave in the opposite direction.
The ABCD pattern follows specific Fibonacci ratios that enhance its accuracy in identifying PRZ. Typically, point C lies within the 0.382 to 0.886 Fibonacci retracement of the AB wave, indicating the correction extent of the BC wave.
Subsequently, the CD wave, as the final wave in this pattern, reaches point D with a Fibonacci extension between 1.13 and 2.618 of the BC wave. Point D, which marks the PRZ, is where a potential price reversal is likely to occur.
The ABCD pattern appears in both bullish and bearish forms. In the bullish ABCD pattern, prices tend to increase at point D, which defines the PRZ; in the bearish ABCD pattern, prices typically decrease upon reaching the PRZ at point D.
These characteristics make the ABCD pattern a popular tool for identifying PRZ and price reversal points in financial markets, including forex, cryptocurrencies, and stocks.
Bullish Pattern :
Beaish Pattern :
🔵 How to Use
🟣 Bullish ABCD Pattern
The bullish ABCD pattern is another harmonic structure used to identify a potential reversal zone (PRZ) where the price is likely to rise after a downward movement. This pattern includes four main points A, B, C, and D. In the bullish ABCD, the AB and CD waves move downward, and the BC wave acts as a corrective, upward wave. This setup creates a PRZ at point D, where the price may reverse and move upward.
To identify a bullish ABCD pattern, begin with the downward AB wave. The BC wave retraces upward between 0.382 and 0.886 of the AB wave, indicating the extent of the correction.
After the BC retracement, the CD wave forms and extends from point C down to point D, with an extension of around 1.13 to 2.618 of the BC wave. Point D, as the PRZ, represents the area where the price may reverse upwards, making it a strategic level for potential buy positions.
When the price reaches point D in the bullish ABCD pattern, traders look for upward reversal signals. This can include bullish candlestick formations, such as hammer or morning star patterns, near the PRZ to confirm the trend reversal. Entering a long position after confirmation near point D provides a calculated entry point.
Additionally, placing a stop loss slightly below point D helps protect against potential loss if the reversal does not occur. The ABCD pattern, with its precise Fibonacci structure and PRZ identification, gives traders a disciplined approach to spotting bullish reversals in markets, particularly in forex, cryptocurrency, and stock trading.
Bullish Pattern in COINBASE:BTCUSD :
🟣 Bearish ABCD Pattern
The bearish ABCD pattern is a harmonic structure that indicates a potential reversal zone (PRZ) where price may shift downward after an initial upward movement. This pattern consists of four main points A, B, C, and D. In a bearish ABCD, the AB and CD waves move upward, while the BC wave acts as a corrective wave in the opposite, downward direction. This reversal zone (PRZ) can be identified with specific Fibonacci ratios.
To identify a bearish ABCD pattern, start by observing the AB wave, which forms as an upward price movement. The BC wave, which follows, typically retraces between 0.382 to 0.886 of the AB wave. This retracement indicates how far the correction goes and sets the foundation for the next wave.
Finally, the CD wave extends from point C to reach point D with a Fibonacci extension of approximately 1.13 to 2.618 of the BC wave. Point D represents the PRZ where the potential reversal may occur, making it a critical area for traders to consider short positions.
Once point D in the bearish ABCD pattern is reached, traders can anticipate a downward price movement. At this potential reversal zone (PRZ), traders often wait for additional bearish signals or candlestick patterns, such as engulfing or evening star formations, to confirm the price reversal.
This confirmation around the PRZ enhances the accuracy of the entry point for a bearish position. Setting a stop loss slightly above point D can help manage risk if the price doesn’t reverse as anticipated. The ABCD pattern, with its reliance on Fibonacci ratios and clearly defined points, offers a strategic approach for traders looking to capitalize on potential bearish reversals in financial markets, including forex, stocks, and cryptocurrencies.
Bearish Pattern in OANDA:XAUUSD :
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🟣 Conclusion
The ABCD harmonic pattern offers a structured approach in technical analysis, helping traders accurately identify potential reversal zones (PRZ) where price movements may shift direction. By leveraging the relationships between points A, B, C, and D, alongside specific Fibonacci ratios, traders can better anticipate points of market reversal and make more informed decisions.
Both the bearish and bullish ABCD patterns enable traders to pinpoint ideal entry points that align with anticipated market shifts. In a bearish ABCD, point D within the PRZ often signals a downward trend reversal, while in a bullish ABCD, this same point typically suggests an upward reversal. The adaptability of the ABCD pattern across different markets, such as forex, stocks, and cryptocurrencies, further highlights its utility and reliability.
Integrating the ABCD pattern into a trading strategy provides a methodical and calculated approach to entry and exit decisions. With accurate application of Fibonacci ratios and confirmation of the PRZ, traders can enhance their trading precision, reduce risks, and boost overall performance. The ABCD harmonic pattern remains a valuable resource for traders aiming to leverage structured patterns for consistent results in their technical analysis.
Smooth Price Oscillator [BigBeluga]The Smooth Price Oscillator by BigBeluga leverages John Ehlers' SuperSmoother filter to produce a clear and smooth oscillator for identifying market trends and mean reversion points. By filtering price data over two distinct periods, this indicator effectively removes noise, allowing traders to focus on significant signals without the clutter of market fluctuations.
🔵 KEY FEATURES & USAGE
● SuperSmoother-Based Oscillator:
This oscillator uses Ehlers' SuperSmoother filter, applied to two different periods, to create a smooth output that highlights price momentum and reduces market noise. The dual-period application enables a comparison of long-term and short-term price movements, making it suitable for both trend-following and reversion strategies.
// @function SuperSmoother filter based on Ehlers Filter
// @param price (float) The price series to be smoothed
// @param period (int) The smoothing period
// @returns Smoothed price
method smoother_F(float price, int period) =>
float step = 2.0 * math.pi / period
float a1 = math.exp(-math.sqrt(2) * math.pi / period)
float b1 = 2 * a1 * math.cos(math.sqrt(2) * step / period)
float c2 = b1
float c3 = -a1 * a1
float c1 = 1 - c2 - c3
float smoothed = 0.0
smoothed := bar_index >= 4
? c1 * (price + price ) / 2 + c2 * smoothed + c3 * smoothed
: price
smoothed
● Mean Reversion Signals:
The indicator identifies two types of mean reversion signals:
Simple Mean Reversion Signals: Triggered when the oscillator moves between thresholds of 1 and Overbought or between thresholds -1 and Ovesold, providing additional reversion opportunities. These signals are useful for capturing shorter-term corrections in trending markets.
Strong Mean Reversion Signals: Triggered when the oscillator above the overbought (upper band) or below oversold (lower band) thresholds, indicating a strong reversal point. These signals are marked with a "+" symbol on the chart for clear visibility.
Both types of signals are plotted on the oscillator and the main chart, helping traders to quickly identify potential trade entries or exits.
● Dynamic Bands and Thresholds:
The oscillator includes overbought and oversold bands based on a dynamically calculated standard deviation and EMA. These bands provide visual boundaries for identifying extreme price conditions, helping traders anticipate potential reversals at these levels.
● Real-Time Labels:
Labels are displayed at key thresholds and bands to indicate the oscillator’s status: "Overbought," "Oversold," and "Neutral". Mean reversion signals are also displayed on the main chart, providing an at-a-glance summary of current indicator conditions.
● Customizable Threshold Levels:
Traders can adjust the primary threshold and smoothing length according to their trading style. A higher threshold can reduce signal frequency, while a lower setting will provide more sensitivity to market reversals.
The Smooth Price Oscillator by BigBeluga is a refined, noise-filtered indicator designed to highlight mean reversion points with enhanced clarity. By providing both strong and simple reversion signals, as well as dynamic overbought/oversold bands, this tool allows traders to spot potential reversals and trend continuations with ease. Its dual representation on the oscillator and the main price chart offers flexibility and precision for any trading strategy focused on capturing cyclical market movements.
Signal Tester [Cometreon]Signal Tester is a powerful tool that allows you to analyze and visualize up to 100 historical positions directly on the TradingView chart. This indicator is ideal for quickly testing the effectiveness of trading signals from various sources.
Key Features:
Graphical visualization of entry and exit signals
Support for analysis on different timeframes
Ability to test signals from bots, groups, or personal strategies
Technical Details and Customizable Inputs:
Position Selection : Choose up to 100 recent positions, both long and short, to display signals directly on the chart.
Data Entry : Easily select the date and position type (long/short) in the settings.
How to Use the Indicator:
Enter entry and exit signals in the indicator settings.
Analyze the results directly on the chart.
Add the generated signals to the Strategy Tester to verify their effectiveness.
Start testing your trading signals now with TradeLab Beta's Signal Tester access this powerful tool and take your market analysis to the next level!
Don't waste any more time and visit the link to get access to all Cometreon indicators.
Anchored Average Trading PriceThis "Anchored Average Trading Price" indicator allows users to anchor the calculation of the average trading price to a specific candle. By selecting an anchor date and time, the indicator begins calculating the average trading price from that point forward. This tool is particularly helpful for traders who want to analyze the price action relative to a key event or a particular point in time on the chart.
Key Features:
1. Flexible Anchoring: The indicator lets you set an anchor time, which determines the specific candle from which the average trading price calculation starts.
2. Customizable Calculation Method: You have the option to choose the basis of the average calculation:
- Open Price
- Close Price
- Average Daily Traded Price (calculated as `(Open + High + Low + Close) / 4`)
3. Automatic Updating: Once the anchor is set, the indicator dynamically updates on each new candle to continuously reflect the average trading price since the anchor point.
Potential Uses and Functionality Expansions:
- Trend Analysis: By observing the average trading price over time, you can gauge market sentiment and track trends from a particular event or time in the market.
- Support and Resistance: Anchoring this indicator to major highs, lows, or significant events could help identify dynamic support and resistance levels as the market interacts with the average price line.
- Customization Options: Future updates could allow additional flexibility, such as:
- A reset feature for users to easily re-anchor without changing the timestamp.
- Additional price calculation methods, like VWAP (Volume Weighted Average Price) for volume-based insights.
- Alerts when price crosses above or below the anchored average, signaling potential entry or exit points.
Half Trend Regression [AlgoAlpha]Introducing the Half Trend Regression indicator by AlgoAlpha, a cutting-edge tool designed to provide traders with precise trend detection and reversal signals. This indicator uniquely combines linear regression analysis with ATR-based channel offsets to deliver a dynamic view of market trends. Ideal for traders looking to integrate statistical methods into their analysis to improve trade timing and decision-making.
Key Features
🎨 Customizable Appearance : Adjust colors for bullish (green) and bearish (red) trends to match your charting preferences.
🔧 Flexible Parameters : Configure amplitude, channel deviation, and linear regression length to tailor the indicator to different time frames and trading styles.
📈 Dynamic Trend Line : Utilizes linear regression of high, low, and close prices to calculate a trend line that adapts to market movements.
🚀 Trend Direction Signals : Provides clear visual signals for potential trend reversals with plotted arrows on the chart.
📊 Adaptive Channels : Incorporates ATR-based channel offsets to account for market volatility and highlight potential support and resistance zones.
🔔 Alerts : Set up alerts for bullish or bearish trend changes to stay informed of market shifts in real-time.
How to Use
🛠 Add the Indicator : Add the Half Trend Regression indicator to your chart from the TradingView library. Access the settings to customize parameters such as amplitude, channel deviation, and linear regression length to suit your trading strategy.
📊 Analyze the Trend : Observe the plotted trend line and the filled areas under it. A green fill indicates a bullish trend, while a red fill indicates a bearish trend.
🔔 Set Alerts : Use the built-in alert conditions to receive notifications when a trend reversal is detected, allowing you to react promptly to market changes.
How It Works
The Half Trend Regression indicator calculates linear regression lines for the high, low, and close prices over a specified period to determine the general direction of the market. It then computes moving averages and identifies the highest and lowest points within these regression lines to establish a dynamic trend line. The trend direction is determined by comparing the moving averages and previous price levels, updating as new data becomes available. To account for market volatility, the indicator calculates channels above and below the trend line, offset by a multiple of half the Average True Range (ATR). These channels help visualize potential support and resistance zones. The area under the trend line is filled with color corresponding to the current trend direction—green for bullish and red for bearish. When the trend direction changes, the indicator plots arrows on the chart to signal a potential reversal, and alerts can be set up to notify you. By integrating linear regression and ATR-based channels, the indicator provides a comprehensive view of market trends and potential reversal points, aiding traders in making informed decisions.
Enhance your trading strategy with the Half Trend Regression indicator by AlgoAlpha and gain a statistical edge in the markets! 🌟📊
Target Trend [BigBeluga]The Target Trend indicator is a trend-following tool designed to assist traders in capturing directional moves while managing entry, stop loss, and profit targets visually on the chart. Using adaptive SMA bands as the core trend detection method, this indicator dynamically identifies shifts in trend direction and provides structured exit points through customizable target levels.
SP500:
🔵 IDEA
The Target Trend indicator’s concept is to simplify trade management by providing automated visual cues for entries, stops, and targets directly on the chart. When a trend change is detected, the indicator prints an up or down triangle to signal entry direction, plots three customizable target levels for potential exits, and calculates a stop-loss level below or above the entry point. The indicator continuously adapts as price moves, making it easier for traders to follow and manage trades in real time.
When price crosses a target level, the label changes to a check mark, confirming that the target has been achieved. Similarly, if the stop-loss level is hit, the label changes to an "X," and the line becomes dashed, indicating that the stop loss has been activated. This feature provides traders with a clear visual trail of whether their targets or stop loss have been hit, allowing for easier trade tracking and exit strategy management.
🔵 KEY FEATURES & USAGE
SMA Bands for Trend Detection: The indicator uses adaptive SMA bands to identify the trend direction. When price crosses above or below these bands, a new trend is detected, triggering entry signals. The entry point is marked on the chart with a triangle symbol, which updates with each new trend change.
Automated Targets and Stop Loss Management: Upon a new trend signal, the indicator automatically plots three price targets and a stop loss level. These levels provide traders with structured exit points for potential gains and a clear risk limit. The stop loss is placed below or above the entry point, depending on the trend direction, to manage downside risk effectively.
Visual Target and Stop Loss Validation: As price hits each target, the label beside the level updates to a check mark, indicating that the target has been reached. Similarly, if the stop loss is activated, the stop loss label changes to an "X," and the line becomes dashed. This feature visually confirms whether targets or stop losses are hit, simplifying trade management.
The indicator also marks the entry price at each trend change with a label on the chart, allowing traders to quickly see their initial entry point relative to current price and target levels.
🔵 CUSTOMIZATION
Trend Length: Set the lookback period for the trend-detection SMA bands to adjust the sensitivity to trend changes.
Targets Setting: Customize the number and spacing of the targets to fit your trading style and market conditions.
Visual Styles: Adjust the appearance of labels, lines, and symbols on the chart for a clearer view and personalized layout.
🔵 CONCLUSION
The Target Trend indicator offers a streamlined approach to trend trading by integrating entry, target, and stop loss management into a single visual tool. With automatic tracking of target levels and stop loss hits, it helps traders stay focused on the current trend while keeping track of risk and reward with minimal effort.
Ultimate Multi Indicator - by SachaThe Ultimate Multi Indicator: The Ultimate Guide To Profit
This custom indicator, the Ultimate Multi Indicator , integrates multiple trading indicators to have powerful buy and sell signals. I combined MACD, EMA, RSI, Bollinger Bands, Volume Profile, and Ichimoku Cloud indicators to help traders analyze both short-term and long-term price movements.
Key Components and How to Use Them
- MACD (Moving Average Convergence Divergence):
- Use for trend direction and potentiality of reversals.
- The blue line (MACD Line) crossing above the orange line (Signal Line) indicates a bullish reversal; the opposite signals a bearish reversal.
- Watch for crossovers to confirm the direction of smaller price movements.
- 200 EMA (Long) (Exponential Moving Average):
- Use to indicate a long-term trend direction.
- If the price is above the 200 EMA, the market is in an uptrend; below it suggests a downtrend.
- The chart’s background color shifts subtly green (uptrend) or red (downtrend) depending on the EMA's relative position.
- RSI (Relative Strength Index):
- Tracks momentum and overbought/oversold levels.
- RSI over 70 signifies overbought conditions; under 30 indicates oversold.
- Look for RSI turning points around these levels to identify potential reversals.
- Bollinger Bands :
- The price touching or crossing the upper Bollinger Band may mean overbought conditions are filled, while a touch at the lower band indicates oversold.
- Bollinger Band interactions often align with key reversal points, especially when combined with other signals.
- Volume Profile :
- A yellow VP line on the chart represents significant trading volume occurred.
- This line can be used as both a support and resistance level, and especially during consolidations or trend changes.
- Ichimoku Cloud :
- Identifies support/resistance levels and trend direction.
- Green and red cloud regions visually show if the price is above (bullish) or below (bearish) key levels.
- Price above the cloud (green) confirms a bullish market, while below (red) signals bearish.
Signal Conditions and Visualization
- Buy Signals :
- This is triggered right away when MACD crosses up, RSI is oversold, or price touches the lower Bollinger Band, provided price is above both the Ichimoku Cloud and the 200 EMA.
- A green “BUY” label appears below the bar, suggesting a potential entry.
- Sell Signals :
- This signal is generated when MACD crosses down, RSI is overbought, or price touches the upper Bollinger Band, and price is below the Ichimoku Cloud and the 200 EMA.
- A red “SELL” label is shown above the bar, indicating a potential exit.
Tips & Tricks
- Confirm Signals : Use multiple signals to confirm entries and exits. For example, if both the MACD and RSI align with the Ichimoku Cloud direction, the trade setup is stronger.
- Trend Directions : Only take buy signals if the price is above the 200 EMA, and sell signals if it is below, aligning trades with the overall trend.
- Adjust for Volatility : In high-volatility markets, especially in the crypto markets, pay close attention to the Bollinger Bands for breakout potential.
- Ichimoku as a Trend Guide : Use the Ichimoku Cloud as a guide for long-term support and resistance levels, especially for swing trades.
This multi-layered indicator gives a balanced blend of short-term signals and long-term trend insights, making it a versatile tool for day trading, swing trading, or even longer-term analysis.
Remember that indicators that will make you rich instantly don't exist. To expect minimum profit from them, you shouldn't trade all you have at the same time but only trade with the money you can afford to lose.
After that being said, I wish you traders luck with the Ultimate Multi Indicator!
Weekly RSI Buy/Sell SignalsWeekly RSI Buy/Sell Signal Indicator
This indicator is designed to help traders identify high-probability buy and sell opportunities on the weekly chart by using the Relative Strength Index (RSI). By utilizing weekly RSI values, this indicator ensures signals align with broader market trends, providing a clearer view of potential price reversals and continuation.
How It Works:
Weekly RSI Calculation: This script calculates the RSI using a 14-period setting, focusing on the weekly timeframe regardless of the user’s current chart view. The weekly RSI is derived using request.security, allowing for consistent signals even on intraday charts.
Signal Conditions:
Buy Signal: A buy signal appears when the RSI crosses above the oversold threshold of 30, suggesting that price may be gaining momentum after a potential bottom.
Sell Signal: A sell signal triggers when the RSI crosses below the overbought threshold of 70, indicating a possible momentum shift downwards.
Visual Cues:
Buy/Sell Markers: Clear green "BUY" and red "SELL" markers are displayed on the chart when buy or sell conditions are met, making it easy to identify entry and exit points.
RSI Line and Thresholds: The weekly RSI value is plotted in real time with color-coded horizontal lines at 30 (oversold) and 70 (overbought), providing a visual reference for key levels.
This indicator is ideal for traders looking for reliable, trend-based signals on higher timeframes and can be a helpful tool for filtering out shorter-term market noise.
Trend Levels [ChartPrime]The Trend Levels indicator is designed to identify key trend levels (High, Mid, and Low) during market trends, based on real-time calculations of highest, lowest, and mid-level values over a customizable length. Additionally, the indicator calculates trend strength by measuring the ratio of candles closing above or below the midline, providing a clear view of the ongoing trend dynamics and strength.
⯁ KEY FEATURES AND HOW TO USE
⯌ Trend Shift Signals :
Trend shifts, based on highest and lowest values during input length. When high is == to highest it will change trend to up when low == lowest value it will be shift to down trend.
// Calculate highest and lowest over the specified length
h = ta.highest(length)
l = ta.lowest(length)
// Determine trend direction: if the current high is the highest value, set trend to true
if h == high
trend := true
// If the current low is the lowest value, set trend to false
if l == low
trend := false
Whenever the trend changes direction (from uptrend to downtrend or vice versa), the indicator provides visual cues in the form of arrows. This gives traders clear signals to identify potential trend reversals, enabling them to adjust their strategies accordingly.
⯌ Trend Level Calculation :
As soon as a trend is detected (uptrend or downtrend), the indicator starts calculating the highest, lowest, and mid-level values over the defined period. These levels are plotted on the chart as color-coded lines for easy visualization, allowing traders to quickly spot the key levels within a trend.
⯌ Midline Retests :
Throughout the trend, the mid-level line is often retested, acting as a potential zone for pullbacks or rejections. Traders can use these retests as opportunities for entering positions or confirming trend continuation. The chart shows how price frequently interacts with the midline, helping to identify important reaction levels.
⯌ Trend Strength Calculation :
The indicator measures the trend strength by calculating the delta between the number of candles closing above and below the midline. This percentage-based delta is displayed in real-time, providing a clear indication of whether the trend is gaining or losing momentum.
⯁ USER INPUTS
Length : Specifies the lookback period for calculating the highest and lowest values, which determines the key trend levels.
Candle Counting : Measures the number of candles closing above and below the midline to calculate the trend strength delta.
⯁ CONCLUSION
The Trend Levels indicator provides traders with a powerful tool for visualizing trend dynamics, key levels of support and resistance, and real-time trend strength. By identifying midline retests, tracking candle counts, and providing trend shift signals, this indicator can help traders make well-informed decisions during market trends.
Fibonacci Buy /Sell SignalsHere is a Fibonacci-based Buy/Sell Indicator using retracement levels for potential support and resistance zones. This indicator plots Fibonacci levels and provides buy/sell signals based on price interaction with these levels.
Fibonacci Levels:
Highest high and lowest low over the lookback period.
Key levels: 38.2% (retracement), 50% (midpoint), 61.8% (strong retracement).
Buy Signal: When the price crosses above the 61.8% Fibonacci level (bullish).
Sell Signal: When the price crosses below the 38.2% Fibonacci level (bearish).
Machine Learning RSI Bands"Machine Learning RSI Bands" Indicator
The "Machine Learning RSI Bands" (MLRSIB) indicator leverages advanced algorithmic analysis to enhance traditional RSI strategies:
RSI Customization: Users can customize the RSI settings including source, length, and thresholds for overbought/oversold conditions.
Innovative Machine Learning Application: The script uses a proprietary function FOUNDATION_400x10x2 from the 'FOUNDATION' library, which analyzes the last 400 occurrences of data points, considering various market dynamics like volume changes or RSI movements based on the selected sampling method. Outputs four optimal outcomes for both upper and lower band conditions, representing the most statistically significant patterns or predictions.
Dynamic Band Visualization: Plots the average of these four outcomes as colored lines (red for the upper band, green for the lower band) on the chart, serving as dynamic support and resistance or overbought/oversold levels.
Signal Plotting: Displays triangles above or below the bars to signal potential short or long entries when the RSI crosses these machine learning-adjusted bands under certain confidence conditions.
Market Volatility Indicator: Adjusts the chart's background color based on volatility, using an average deviation analysis to gauge market calmness or agitation.
Alert System: Provides alert conditions for when these sophisticated signals are triggered, allowing for timely trading actions.
This indicator is designed for traders interested in combining traditional technical analysis with machine learning to refine their market entry and exit strategies, focusing on patterns identified from recent market behavior.
G-Ron TrendCloudOverview
The G-Ron TrendCloud Indicator is a powerful trading tool designed to identify trend momentum and potential reversals across multiple timeframes. Using cloud-based visualizations, this indicator provides clear, actionable signals, making it ideal for all traders.
How Does It Work?
The G-Ron TrendCloud uses advanced differential calculations to pinpoint key momentum levels in the market. It identifies both trend continuation and reversals, highlighting strong momentum shifts with clear visual cues.
Key Features
Trend Cloud – This cloud highlights the dominant market trend, indicating whether the market is trending upwards or downwards.
Reversal Cloud – This cloud provides early warning signals of potential trend reversals, helping traders time entries and exits more effectively.
Trend Reversion Line – This line acts as a key pivot point in the market, indicating where the long-term trend is likely to shift.
The three components change color dynamically based on market conditions:
Yellow for uptrends
Red for downtrends
What Makes It Unique?
Many indicators rely on simple or exponential moving average crossovers. In contrast, the G-Ron TrendCloud utilizes differential equations to analyze the interaction between moving averages and pinpoint the precise price levels where significant momentum shifts—referred to as trend pivots—are likely to occur. These trend pivots are categorized by both term (short, medium, long) and direction (continuation or reversal). It's crucial to note that the components of the G-Ron TrendCloud are not moving averages, making it impossible to replicate its insights using any SMA or EMA settings.
Understanding The Components
Trend Cloud: represents the area between the short-term trend pivot line and the medium-term trend pivot line. It illustrates the prevailing market trend.
Reversal Cloud: represents the area between the medium-term trend pivot line and the reversal pivot line. It provides insights into the strength of the trend.
Trend Reversion Line: the long-term trend pivot line which acts as a mean reversion for the Trend Cloud.
How To Use It
Trend Continuation: When price is above or within the yellow Trend Cloud it signals a strong bullish trend continuation. When price is below or within the red Trend Cloud it signals a strong bearish trend continuation.
Reversal Signals: When price breaks through the Reversal Cloud it signals a change in the prevailing market trend.
Long-Term Confirmation: Bullish trends are stronger, and price is more likely to continue higher when the Trend Reversion Line is yellow. Bearish trends are stronger, and price is more likely to continue lower when the Trend Reversion Line is red.
Multi-Timeframe View: For deeper insights, use the indicator across various timeframes. Shorter timeframes are ideal for intraday trades, while longer timeframes offer better signals for position traders.
Recommended Settings
The Long-Term Timeframe interval setting should always be at least three times bigger than the current timeframe displayed on your chart.
Why It’s Invite Only
The G-Ron TrendCloud utilizes a unique methodology that cannot be replicated by standard indicators. It provides valuable insights and clear visual cues to help traders accurately identify market trends. It greatly improves decision making and timing for both trade entries and exits, increasing the likelihood of successful outcomes.
Please see the authors instructions below to get instant access to this indicator.
