PLUSEBOARD - TREND 18042025PLUSEBOARD - TREND 18042025
📊 Multi-Indicator Trend Dashboard (Stable Version)
Description
This script creates a clean and minimal *trend dashboard* powered by multiple core indicators, including:
- ✅ **RSI & MACD**
- ✅ **EMA50/EMA200 Crossover**
- ✅ **Ichimoku Cloud (Senkou A & B)**
- ✅ **Supertrend**
- ✅ **Donchian Midline**
- ✅ **Bollinger Bands (BB Mid)**
- ✅ **ADX Strength**
- ✅ **EMA50 Slope (Trend Angle)**
All data is displayed in a compact **visual table**, which can be repositioned to any corner of the chart. You can also **label the market note** as *NEWS*, *BANK HOLIDAY*, or *NORMAL* directly from the settings.
At the bottom of the dashboard, you’ll find a quick summary of the current trend in simple words:
👉 **BUYER / SELLER / NEUTRAL**
This signal is based on a scoring system that combines 6 major trend signals into one unified decision – perfect for fast trading decisions.
### 🔧 Highlights:
- Clean, mobile-friendly layout
- Perfect for morning analysis or **#1Bullet1Shot** strategies
- Easy-to-understand visual summary
📌 Extra Note:
This tool is designed for traders who want a quick overview of market direction without opening multiple indicators. Works well across all symbols and timeframes.
Trend Analysis
Aurora Flow Oscillator [QuantAlgo]The Aurora Flow Oscillator is an advanced momentum-based technical indicator designed to identify market direction, momentum shifts, and potential reversal zones using adaptive filtering techniques. It visualizes price momentum through a dynamic oscillator that quantifies trend strength and direction, helping traders and investors recognize momentum shifts and trading opportunities across various timeframes and asset class.
🟢 Technical Foundation
The Aurora Flow Oscillator employs a sophisticated mathematical approach with adaptive momentum filtering to analyze market conditions, including:
Price-Based Momentum Calculation: Calculates logarithmic price changes to measure the rate and magnitude of market movement
Adaptive Momentum Filtering: Applies an advanced filtering algorithm to smooth momentum calculations while preserving important signals
Acceleration Analysis: Incorporates momentum acceleration to identify shifts in market direction before they become obvious
Signal Normalization: Automatically scales the oscillator output to a range between -100 and 100 for consistent interpretation across different market conditions
The indicator processes price data through multiple filtering stages, applying mathematical principles including exponential smoothing with adaptive coefficients. This creates an oscillator that dynamically adjusts to market volatility while maintaining responsiveness to genuine trend changes.
🟢 Key Features & Signals
1. Momentum Flow and Extreme Zone Identification
The oscillator presents market momentum through an intuitive visual display that clearly indicates both direction and strength:
Above Zero: Indicates positive momentum and potential bullish conditions
Below Zero: Indicates negative momentum and potential bearish conditions
Slope Direction: The angle and direction of the oscillator provide immediate insight into momentum strength
Zero Line Crossings: Signal potential trend changes and new directional momentum
The indicator also identifies potential overbought and oversold market conditions through extreme zone markings:
Upper Zone (>50): Indicates strong bullish momentum that may be approaching exhaustion
Lower Zone (<-50): Indicates strong bearish momentum that may be approaching exhaustion
Extreme Boundaries (±95): Mark potentially unsustainable momentum levels where reversals become increasingly likely
These zones are displayed with gradient intensity that increases as the oscillator moves toward extremes, helping traders and investors:
→ Identify potential reversal zones
→ Determine appropriate entry and exit points
→ Gauge overall market sentiment strength
2. Customizable Trading Style Presets
The Aurora Flow Oscillator offers pre-configured settings for different trading approaches:
Default (80,150): Balanced configuration suitable for most trading and investing situations.
Scalping (5,80): Highly responsive settings for ultra-short-term trades. Generates frequent signals and catches quick price movements. Best for 1-15min charts when making many trades per day.
Day Trading (8,120): Optimized for intraday movements with faster response than default settings while maintaining reasonable signal quality. Ideal for 5-60min or 4h-12h timeframes.
Swing Trading (10,200): Designed for multi-day positions with stronger noise filtering. Focuses on capturing larger price swings while avoiding minor fluctuations. Works best on 1-4h and daily charts.
Position Trading (14,250): For longer-term position traders/investors seeking significant market trends. Reduces false signals by heavily filtering market noise. Ideal for daily or even weekly charts.
Trend Following (16,300): Maximum smoothing that prioritizes established directional movements over short-term fluctuations. Best used on daily and weekly charts, but can also be used for lower timeframe trading.
Countertrend (7,100): Tuned to detect potential reversals and exhaustion points in trends. More sensitive to momentum shifts than other presets. Effective on 15min-4h charts, as well as daily and weekly charts.
Each preset automatically adjusts internal parameters for optimal performance in the selected trading context, providing flexibility across different market approaches without requiring complex manual configuration.
🟢 Practical Usage Tips
1/ Trend Analysis and Interpretation
→ Direction Assessment: Evaluate the oscillator's position relative to zero to determine underlying momentum bias
→ Momentum Strength: Measure the oscillator's distance from zero within the -100 to +100 range to quantify momentum magnitude
→ Trend Consistency: Monitor the oscillator's path for sustained directional movement without frequent zero-line crossings
→ Reversal Detection: Watch for oscillator divergence from price and deceleration of movement when approaching extreme zones
2/ Signal Generation Strategies
Depending on your trading approach, multiple signal strategies can be employed:
Trend Following Signals:
Enter long positions when the oscillator crosses above zero
Enter short positions when the oscillator crosses below zero
Add to positions on pullbacks while maintaining the overall trend direction
Countertrend Signals:
Look for potential reversals when the oscillator reaches extreme zones (±95)
Enter contrary positions when momentum shows signs of exhaustion
Use oscillator divergence with price as additional confirmation
Momentum Shift Signals:
Enter positions when oscillator changes direction after establishing a trend
Exit positions when oscillator direction reverses against your position
Scale position size based on oscillator strength percentage
3/ Timeframe Optimization
The indicator can be effectively applied across different timeframes with these considerations:
Lower Timeframes (1-15min):
Use Scalping or Day Trading presets
Focus on quick momentum shifts and zero-line crossings
Be cautious of noise in extreme market conditions
Medium Timeframes (30min-4h):
Use Default or Swing Trading presets
Look for established trends and potential reversal zones
Combine with support/resistance analysis for entry/exit precision
Higher Timeframes (Daily+):
Use Position Trading or Trend Following presets
Focus on major trend identification and long-term positioning
Use extreme zones for position management rather than immediate reversals
🟢 Pro Tips
Price Momentum Period:
→ Lower values (5-7) increase sensitivity to minor price fluctuations but capture more market noise
→ Higher values (10-16) emphasize sustained momentum shifts at the cost of delayed response
→ Adjust based on your timeframe (lower for shorter timeframes, higher for longer timeframes)
Oscillator Filter Period:
→ Lower values (80-120) produce more frequent directional changes and earlier response to momentum shifts
→ Higher values (200-300) filter out shorter-term fluctuations to highlight dominant market cycles
→ Match to your typical holding period (shorter holding time = lower filter values)
Multi-Timeframe Analysis:
→ Compare oscillator readings across different timeframes for confluence
→ Look for alignment between higher and lower timeframe signals
→ Use higher timeframe for trend direction, lower for earlier entries
Volatility-Adaptive Trading:
→ Use oscillator strength to adjust position sizing (stronger = larger)
→ Consider reducing exposure when oscillator reaches extreme zones
→ Implement tighter stops during periods of oscillator acceleration
Combination Strategies:
→ Pair with volume indicators for confirmation of momentum shifts
→ Use with support/resistance levels for strategic entry and exit points
→ Combine with volatility indicators for comprehensive market context
Change of Character FanChange of Character Fan
Overview
The Change of Character Fan is designed to help traders detect shifts (changes of character) in market direction and sentiment before they become fully visible through traditional candlestick analysis. Instead of relying solely on the shape or close of candlesticks, this indicator offers a direct, real-time look at the internal price action occurring within a single bar. This visibility into intrabar dynamics can potentially allow traders to enter or exit trades earlier, minimize false signals, and reduce their dependence on multiple lower-timeframe charts.
How it Works:
The indicator plots a "fan" consisting of five distinct slope lines within the current bar. Each line represents the internal trend of price movement based on user-defined lower timeframe data intervals.
By default, these intervals are set to 3, 5, 8, 13, and 21 samples from 1-second timeframe data.
Each line only appears when it has collected the minimum required number of intrabar data points.
The fan lines use a progressive opacity scale (lighter to darker), visually highlighting the confidence level or probability of directional continuation within the current bar.
At the open of every new bar, the fan disappears completely and gradually reappears as new data is gathered, ensuring clarity and eliminating outdated signals.
Understanding the Mathematics: Linear Regression Model
This indicator is built around the concept of a linear regression model. Linear regression is a statistical technique used to model and analyze relationships between variables—in this case, time (independent variable) and price (dependent variable).
How Linear Regression Works:
Linear regression fits a straight line (called a "line of best fit") through a set of data points, minimizing the overall distance between each point and the line itself.
Mathematically, this is achieved by minimizing the squared differences (errors) between the observed values (actual prices) and the predicted values (prices on the line).
The linear model used here can be expressed in the form:
y = mx + b
where:
𝑦
y is the predicted price,
𝑥
x represents time (each data sample interval),
𝑚
m is the slope of the line, representing the direction and velocity of the trend,
𝑏
b is the intercept (the theoretical price when x=0).
Why a Linear Model is Beneficial in this Indicator:
Simplicity and Reliability: Linear regression is simple, robust, and widely accepted as a baseline predictive model. It requires minimal computational resources, providing instant updates in real-time trading conditions.
Immediate Directional Feedback: The slope derived from linear regression immediately communicates the directional tendency of recent price action. A positive slope indicates upward pressure, and a negative slope signals downward pressure.
Noise Reduction: Even when price fluctuations are noisy or erratic, linear regression summarizes overall direction clearly, making it easier to detect genuine directional shifts (change of character) rather than random price noise.
Intrabar Analysis: Traditional candlestick analysis relies on fully formed candles, potentially delaying signals. By using linear regression on very short-term (intrabar) data, traders can detect shifts in momentum more quickly, providing an earlier signal than conventional candle patterns alone.
Practical Application:
This indicator helps traders to visually identify:
Early Trend Reversals: Intrabar analysis reveals momentum shifts potentially signaling reversals before they become obvious on conventional candles.
Momentum Continuations: Confidence is gained when all lines in the fan are clearly pointing in the same direction, indicating strong intrabar conviction.
Reduced False Signals: Traditional candlestick signals (e.g., hammer candles) sometimes produce false signals due to intrabar noise. By looking directly into intrabar dynamics, traders gain better context on whether candle patterns reflect genuine directional change or merely noise.
Important Requirements and Recommendations:
Subscription Requirements:
A TradingView subscription that supports sub-minute data (e.g., 1-second or 5-second resolution) is strongly recommended.
If your subscription doesn't include this data granularity, you must use a 1-minute lower timeframe, significantly reducing responsiveness. In this scenario, it's best suited for a 15-minute or higher chart, adjusting intervals to shorter periods.
Live Data Essential:
Real-time market data subscription is essential for the accuracy and effectiveness of this indicator.
Using delayed data reduces responsiveness and weakens the indicator's primary advantage.
Recommended Settings for Different Chart Timeframes:
1-minute chart: Use 1-second lower timeframe intervals (default intervals: 3, 5, 8, 13, 21).
5-minute chart: Adjust to a 5- or 10-second lower timeframe, possibly reducing intervals to shorter periods (e.g., 3, 5, 8, 10, 12).
15-minute or higher charts: Adjust lower timeframe to 1-minute if granular data is unavailable, with reduced interval lengths to maintain responsiveness.
Conclusion:
The Change of Character Fan empowers traders with early insight into directional shifts within each candle, significantly enhancing reaction speed, signal accuracy, and reducing dependency on multiple charts. Built on robust linear regression mathematics, it combines clarity, responsiveness, and ease-of-use in a powerful intrabar analysis tool.
Trade smarter, see sooner, and react faster.
VWAP Bounce & Squeeze- VWAP
- 20/50 EMA
- 15 min Opening Range
- volume spike and candle body simulating Bookmap/DOM
- custom confluence detection for VWAP, EMA, candle structure
- signals for long and short opportunities
- automated risk/reward boxes
- automated trailing stop suggestions
RSI STRATEGYThis Pine Script code is a complex trading strategy that combines multiple technical indicators including RSI, Cyclic RSI, CCI, Choppiness Index, and Bollinger Bands. Here's a breakdown of what it does:
Main Components:
Uses both standard RSI and Cyclic RSI (a modified version of RSI)
Implements pivot point trend lines (support/resistance)
Includes a "MOST" indicator (similar to SuperTrend) for trend following
Adds additional indicators like CCI, Choppiness Index, and Bollinger Bands %B
Key Features:
Plots RSI with a WMA (Weighted Moving Average) line
Identifies trend lines automatically based on pivot points
Generates buy/sell signals based on crossovers between RSI and its moving average
Includes noise filtering options for the RSI values
Has alert conditions for buy/sell signals
Visual Elements:
Stepped RSI line that changes color based on its position relative to the WMA
Trend lines (support/resistance) in different colors
Signal labels with emojis (🐻 for sell, 🚀 for buy)
A midline at 50 for reference
Custom Calculations:
Special VAR (Variable Index Dynamic Average) moving average type
Cyclic RSI calculation with vibration and torque parameters
Zigzag pattern detection for identifying swing highs/lows
Input Options:
Multiple choices for RSI type (standard or cyclic)
Different noise filtering options
Various moving average types (SMA, EMA, WMA, etc.)
Adjustable lengths for all indicators
The strategy appears to be designed for mean-reversion trading using RSI, with additional trend-following elements from the MOST indicator. The combination of multiple indicators suggests it's looking for confluence between different technical factors before generating signals.
Note that this is quite a complex script with many components, which could lead to overfitting if not properly tested. The effectiveness would depend heavily on the chosen parameters and market conditions.
GR highs&lows PRO V3GR highs&lows PRO V3 is a professional intraday session tool that automatically plots the high and low wick levels for the Tokyo, London, and New York trading sessions. Each session is tracked in real time with customizable colors and line styles. The script marks the session highs and lows with horizontal lines and labels, helping traders identify key support/resistance levels from each major market session.
✅ Supports overnight sessions (e.g. Tokyo 20:00–04:00 UTC)
✅ Clean visual layout with optional background shading
✅ Keeps recent session levels on the chart (configurable)
Perfect for scalpers, session breakout traders, and anyone tracking intraday liquidity zones.
this is the update for version 2
Volume Spread Analysis MTF Tom Williams all the way . with a multi time frame look the first box on top right is a calculation of all vsa principles in mtf to give you a better idea of what smart money is doing on a bigger scale higher time frames hold more weight because they hold more volume , the second box on the left of the chart is a mtf look at the trigger bars wether we are above below or neutral in mtf's with the higher time frames holding more weight
on the chart you have basic vsa principles as strict as Tom would want them to be with a 50 day moving avg that you can toggle on and off i dont like them but they help in accumulatio/ditribution zones so you dont get chopped up
my vol indicators has mtf 50 day moving avg built in it so you can see if the market is below or above or below the 50 day in mutiple time frames
S5TW/S5FI/S5TH [SP500]This indicator plots three key S&P 500 breadth indices (S5TW, S5FI, S5TH), helping traders quickly identify market breadth conditions. Oversold (green background) and overbought (red background) conditions are highlighted based on customizable threshold levels, enhancing visual clarity for market timing.
Enhanced StrategyA trading indicator on the 5-minute frame that gives accurate buy and sell signals. You can execute buy and sell transactions based on the entry and exit times.
Advanced Volatility Activator [AlgoFuego]🔵 Advanced Volatility Activator (AVA)
The Advanced Volatility Activator (AVA) is an innovative technical analysis indicator designed to help traders identify and react to market volatility.
By blending adaptive volatility metrics with a refined moving‑average algorithm, the indicator offers traders a dynamically responsive framework for trend identification.
🔸Dynamic Volatility Analysis
The indicator examines the high and low prices of each candle to evaluate market movements.
It categorizes price movements into different states (e.g., outside bars, inside bars, higher highs, lower lows) to provide insight into market conditions, then calculates price averages for bars that make a new high or low price.
This moving average serves as a baseline for volatility adjustments, aligning the tool with well-established technical indicators.
🔸 Customizable Sensitivity
Through the input, users can fine‑tune how responsive the moving average is to price fluctuations.
A higher sensitivity setting makes the moving average less responsive to rapid market changes, enabling the indicator to adapt to different market environments and trading styles.
🔸Integrated Multi-Timeframe Table
A distinctive feature of this indicator is its integrated table display, which provides a summary signal across multiple time frames.
This table serves as a quick reference guide for traders to compare market trends across different time periods.
This at‑a‑glance view empowers traders to confirm trend direction from intraday to higher‑timeframe perspectives without switching charts.
🔹 How It Works
1. Initial Setup
The indicator defines two baseline values: the current high and the current low.
These serve as reference points for all subsequent price comparisons and moving‑average calculations.
2. Volatility Smoothing
The indicator calculates the smoothed volatility range using an exponential moving average (EMA) of the absolute differences between successive prices.
This helps smooth out the erratic price movements of the simple moving average and improves the measurement of volatility.
3. Trend Probability Calculation
A Simple Moving Average (SMA) of the combined high‑low series is calculated.
That SMA is then compared against the smoothed volatility range from step 2 to estimate how likely it is that a genuine trend is forming.
4. Directional Counters
Two counters: bullish and bearish, track consecutive moves up or down.
Whichever counter increases more rapidly signals the prevailing market bias.
5. Drawing the Trend Line
Finally, the code generates a trend line that dynamically adapts to real‑time volatility.
The result is a clear, responsive visual that mirrors actual market behavior.
🔹 Visual & Table Customization
Color Coding
Upward and downward trends are easily distinguished by customizable color settings, enhancing visual clarity for decision-making.
Upward Movements
A lighter blue hue indicates an upward trend.
Downward Movements
An orange hue indicates a downward trend.
Candlestick Highlighting
The indicator plots candlesticks with the same trendline color so that the chart maintains a consistent visual theme, thus reinforcing the signal's clarity.
Table Configuration and Customization
This additional layer of information helps traders compare signals between different time horizons, which is essential for a comprehensive multi-timeframe strategy.
The code supports multiple user-defined timeframes (e.g., 15, 60, 240, and 480 minutes).
For each timeframe, the indicator queries the market data to determine if the signal is Bullish, Bearish, or No signal.
Visibility and Positioning
The table can be toggled on or off via a user input. Its position on the chart is also customizable, ranging from top-right to bottom-left, allowing flexibility based on personal chart layouts.
Color Settings
The table cells are populated with both the timeframe labels and the corresponding market signal text (e.g., "Bullish", "Bearish", "No signal"). Background colors for each signal cell change dynamically depending on the current state, making it easy for traders to assess market sentiment at a glance.
Users can adjust colors for the background, borders, and text of the table itself.
Moreover, specific colors are set to denote bullish signals (blue), bearish signals (orange), or no signal (default dark theme).
🔹 How to use
Before entering long trades, ensure that prices are above the Advanced Volatility Activator Line and the line indicates an upward movement.
🔹 Practical Benefits
Enhanced Market Awareness
By highlighting periods of low volatility, the indicator can serve as an early warning system for potential market reversals or breakouts.
The supplementary table offers a high-level overview of these signals across multiple timeframes, which aids in confirming trends or reversals.
Customizable and Versatile
Both the indicator and the table are highly customizable. Traders can fine-tune the sensitivity, adjust periods for the moving average, select color schemes, and choose their preferred timeframes, all allowing for a tool that adapts to various trading styles and market conditions.
Intuitive Visualization
The clearly defined color-coded trendline provides an immediate visual cue, making it easier for traders to interpret market trends at a glance.
Whether you are a short-term trader needing precise entry and exit points or a multi-timeframe analyst looking for broader trend confirmation, this indicator provides valuable insights on both a micro- and macro-level.
🔹 Disclosure
While this indicator is useful and ideally suited for active traders who require precise, customizable signals to navigate rapidly changing markets, it's critical to understand that past performance is not necessarily indicative of future results, and there are many more factors that go into being a profitable trader.
GR highs&lows PRO V2GR Highs & Lows PRO V2
By GR Trading Tools
This powerful session-based indicator highlights the highs-in blue , lows-in yellow, and optional midpoints of the Tokyo, London, and New York trading sessions. Designed for serious intraday and swing traders, it provides:
🔹 Dynamic session tracking with customizable hours
🔹 Visual clarity through color-coded lines and backgrounds
🔹 Smart cleanup to keep charts uncluttered
🔹 Midpoint plotting to help identify potential areas of interest or reversion
🔹 Supports up to 500 lines and labels for deep historical analysis
Whether you're trading Forex, indices, or crypto, this tool gives you an edge in identifying key levels from global market activity. Fully adjustable to fit your trading style.
QSTSQSTS (Quantitative Signal Tracking System) indicator is a strategic Bitcoin-focused tool that harnesses mining activity patterns and price momentum to detect high-conviction buy and sell signals. By analyzing miner behavior through hash rate trends alongside key moving averages, it helps traders identify optimal entry and exit points with added confidence and clarity.
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⚙️ What This Indicator Does:
Mining Recovery Buy Logic:
Monitors Bitcoin's hash rate using two custom SMAs: a short-term (30-day) and a long-term (60-day) average.
Identifies miner capitulation when the short average drops below the long, and recovery when it crosses back above.
Confirms bullish momentum through price-based signals (10-day vs. 20-day SMA crossover).
Triggers a buy signal after recovery to reduce noise and avoid premature entries.
Visual Buy Signal:
A blue circle appears below the candle when a delayed buy signal occurs.
Alerts can be enabled to notify the trader in real-time when buy conditions are met.
Sell Signal Detection:
Dynamically identifies and marks potential macro-level sell signals based on predefined strategic criteria.
Highlights these with a red triangle above the bar, alerting traders to potential tops or correction zones.
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📈 How Traders Can Benefit:
High-Quality Entries & Exits: Enter trades after clear miner recovery and exit near exhaustion zones using a balanced mix of on-chain data and price trends.
Reduced False Signals: The built-in delay helps filter out short-term volatility, leading to more reliable buy signals.
Complete Cycle Coverage: With both buy and sell signals, this indicator supports a full-cycle strategy, perfect for swing traders and position holders.
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🧠 How Sophisticated Is It?
This is a highly refined and technically sound indicator:
Leverages external on-chain mining metrics in real time.
Uses intelligent delay mechanisms to align with market rhythms.
Automatically adapts its logic based on live or historical data contexts.
Generates both buy and sell signals dynamically using distinct yet complementary sets of logic.
QSTS should be used only on Weekly timeframe on BTC/USD markets.
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✅ Summary:
The QSTS indicator provides traders with a structured, data-backed approach to navigating the crypto market. With smart mining-based entries and dynamically generated sell signals, it equips you with the tools to trade Bitcoin’s major cycles with greater confidence, discipline, and timing.
EMA ConditionsThis indicator was developed with the intention to display current market conditions according to the EMAs. There's a little box in the top right to display the conditions. I wanted to design something that shows already established market conditions, which is why I chose to use EMAs and candle closes as the source for identifying market conditions.
Personally, I scalp momentum in trending market conditions, so having an already established trend lets me know when it's appropriate for me to apply my edge on my lower time frame. I use a 5m time frame for my setups and this is where I apply this indicator. I designed the indicator to function off any time frame, so you can use this indicator with whatever time frame you want.
There are 5 conditions that I've set in place for this indicator, they're as follows:
1. Bullish conditions are met when price has closed 3+ consecutive candles over both EMAs (9 and 20 EMAs by default, but you can also choose what EMAs you want).
2. Bearish conditions are met when price has closed 3+ consecutive candles below both EMAs.
3. Reversal conditions are met when EMAs have crossed, and it will show those reversal conditions for the following 4 bars after the EMA cross over has taken place. Once there have been 4 bars closed, it will then show whatever condition is currently present.
4. Wait conditions are met when price is above/below (depending on direction of trend) the 9 ema.
- So in a bull trend, if price is below the 9 ema, it'll show "Wait"
5. Flat conditions are met when both EMAs are showing minimal changes in value over a specified number of candles. This indicates that EMAs are moving sideways and volatility is low. Likely in range bound or chop environments.
- The Flat threshold is adjustable. I have it set to 0.03% with a candle look back of 2 bars. This works the best for my edge, but you can set them to what you want.
The Flat and Wait conditions will override all other conditions. The Reversal conditions will override both Bullish and Bearish conditions. This way, when the indicator is showing Bullish or Bearish conditions, you'll know that nothing else is present.
Since I only trade in trending market conditions, I only trade when Bullish or Bearish conditions are met. If anything else is there then I'm not looking for my setups at that time. But you can use this however you'd like. If you like trading ranges, then trade when EMAs show flat. If you want to fade reversals and trade mean reversion, wait for a reversal condition to show and then look to fade that move. Get creative with it and with your edge. Don't put yourself in a box.
This indicator was made using Grok AI since I have no clue how to write code. I'll make the script available for everyone, so you can make adjustments yourself and do your own thing with it if you want.
If you have any questions or suggestions on how to improve the indicator, feel free to contact me on X: x.com
EMA6–EMA18 Trend Signal SystemThis is a dual-timeframe trend-following indicator designed for intraday traders.
It combines exponential moving averages (EMAs) from two timeframes:
1-hour EMA6 and EMA18 are used to define the major trend direction.
If EMA6 > EMA18 on the hourly chart, the background turns green (indicating an uptrend).
If EMA6 < EMA18, the background turns red (indicating a downtrend).
Entry signals are triggered only on the 15-minute chart:
A long signal appears when EMA6 crosses above EMA18 during an hourly uptrend.
A short signal appears when EMA6 crosses below EMA18 during an hourly downtrend.
Signal arrows are plotted directly on the chart:
Green triangle up = Long signal
Red triangle down = Short signal
Both EMA6 and EMA18 are plotted for visual reference.
This setup helps align lower timeframe entries with higher timeframe trend confirmation, offering traders more precise entry points and reducing noise.
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The script is intended for use on 15-minute charts and works best in trending markets.
© All rights reserved. Author: hank552
Exponential Trend [AlgoAlpha]OVERVIEW
This script plots an adaptive exponential trend system that initiates from a dynamic anchor and accelerates based on time and direction. Unlike standard moving averages or trailing stops, the trend line here doesn't follow price directly—it expands exponentially from a pivot determined by a modified Supertrend logic. The result is a non-linear trend curve that starts at a specific price level and accelerates outward, allowing traders to visually assess trend strength, persistence, and early-stage reversal points through both base and volatility-adjusted extensions.
CONCEPTS
This indicator builds on the idea that trend-following tools often need dynamic, non-static expansion to reflect real market behavior. It uses a simplified Supertrend mechanism to define directional context and anchor levels, then applies an exponential growth function to simulate trend acceleration over time. The exponential growth is unidirectional and resets only when the direction flips, preserving trend memory. This method helps avoid whipsaws and adds time-weighted confirmation to trends. A volatility buffer—derived from ATR and modifiable by a width multiplier—adds a second layer to indicate zones of risk around the main trend path.
FEATURES
Exponential Trend Logic : Once a directional anchor is set, the base trend line accelerates using an exponential formula tied to elapsed bars, making the trend stronger the longer it persists.
Volatility-Adjusted Extension : A secondary band is plotted above or below the base trend line, widened by ATR to visualize volatility zones, act as soft stop regions or as a better entry point (Dynamic Support/Resistance).
Color-Coded Visualization : Clear green/red base and extension lines with shaded fills indicate trend direction and confidence levels.
Signal Markers & Alerts : Triangle markers indicate confirmed trend reversals. Built-in alerts notify users of bullish or bearish direction changes in real-time.
USAGE
Use this script to identify strong trends early, visually measure their momentum over time, and determine safe areas for entries or exits. Start by adjusting the *Exponential Rate* to control how quickly the trend expands—the higher the rate, the more aggressive the curve. The *Initial Distance* sets how far the anchor band is placed from price initially, helping filter out noise. Increase the *Width Multiplier* to widen the volatility zone for more conservative entries or exits. When the price crosses above or below the base line, a new trend is assumed and the exponential projection restarts from the new anchor. The base trend and its extension both shift over time, but only reset on a confirmed reversal. This makes the tool especially useful for momentum continuation setups or trailing stop logic in trending markets.
Moving Average Trend ToolsI. How M.A.T.T. Adds Value to the TradingView Community:
The "Moving Average Trend Tools" (M.A.T.T.) is a versatile Pine Script v6 indicator that empowers traders with clear trend analysis, reliable trade signals, and real-time insights. Its intuitive design and robust features make it a valuable addition to the TradingView Community Scripts by catering to traders of all levels. Here’s why it stands out:
Clear Trend Visualization: M.A.T.T. plots a moving average (MA) with dynamic coloring—green for rising, red for falling, and gray for flat—based on a user-defined lookback period. This simplifies trend interpretation, helping traders quickly assess market momentum.
Reliable Trade Signals : The script identifies price crossovers above or below the MA, plotting green circles for bullish crosses and red for bearish, confirmed on closed bars to prevent repainting. These signals guide entry and exit points for trend-following or reversal strategies.
Real-Time Extension Detection : M.A.T.T. calculates percentage price deviations from the MA, displaying real-time labels when thresholds (e.g., 6%) are exceeded. This highlights overextended moves, ideal for spotting reversals or pullbacks, with alerts to keep traders informed.
Extensive Customization : Traders can tailor the MA type (SMA, EMA, WMA, HMA), length, colors, line width, and label sizes. This flexibility supports diverse strategies across markets like stocks, forex, and crypto, from scalping to swing trading.
Automated Alerts : Alert conditions for crossovers and extensions integrate seamlessly with TradingView’s system, enabling traders to stay updated without constant chart monitoring.
M.A.T.T. combines trend analysis, signal generation, and overextension detection into a single, user-friendly tool. Its accessibility, reliability, and educational value for Pine Script learners make it a compelling contribution to the community.
II. What M.A.T.T. Does, How It Works, and Its Originality:
What It Does :
M.A.T.T. enhances trend analysis and trade decision-making through three core features:
Dynamic MA Visualization: Plots a customizable MA (SMA, EMA, WMA, or HMA) with trend-based coloring to reflect rising, falling, or flat market conditions.
Price Crossover Signals : Marks bullish (green circles) and bearish (red circles) crossovers, confirmed on closed bars, with alerts for trade opportunities.
Price Extension Labels : Displays real-time percentage deviations of price from the MA, with alerts when user-defined thresholds are breached, signaling potential reversals.
How It Works :
M.A.T.T. leverages Pine Script v6 for precise calculations and user-friendly outputs:
Inputs: Users select MA type, length, lookback period, colors, and thresholds for extensions, plus label styles and sizes for customization.
MA Calculation : A switch function computes the chosen MA (e.g., ta.ema(close, 21) for EMA). Trend direction is determined using ta.rising or ta.falling over the lookback period, coloring the MA accordingly.
Crossover Logic : Bullish crossovers (close > ma and close < ma ) and bearish crossovers (close < ma and close > ma ) are plotted as circles on confirmed bars (barstate.isconfirmed) to ensure reliability. Alerts trigger only on the first bar of a crossover.
Extension Logic : Percentage deviations are calculated as ((price - ma) / ma) * 100, using the high for above-MA extensions and low for below. Labels appear in real-time when thresholds are exceeded, with alerts on transitions to avoid noise.
Why It’s Original
M.A.T.T. distinguishes itself through a unique blend of features and thoughtful design:
All-in-One Design : It integrates dynamic MA coloring, non-repainting crossover signals, and real-time extension detection, addressing trend identification, trade signals, and overextension warnings in one tool—unlike most MA indicators that focus on a single aspect.
Real-Time Extension Labels : Displaying percentage deviations with customizable thresholds is a rare feature, ideal for volatile markets and not commonly found in standard scripts.
Non-Repainting Signals : Confirmed crossover signals enhance reliability for live trading, setting M.A.T.T. apart from less rigorous indicators.
Optimized Alert Condtions : Alerts trigger only on transitions (e.g., first bar of a crossover or extension), reducing noise and improving usability.
Visual and Functional Flexibility : Support for four MA types, extensive customization, and a clean interface (dynamic colors, tiny circles, clear labels) make it adaptable and user-friendly.
While MA plotting or crossovers exist elsewhere, M.A.T.T.’s seamless integration, real-time extension detection, alert conditions, and focus on reliability and customization create a distinctive, practical tool. Its balance of simplicity and sophistication makes it a unique asset for the TradingView community.
Volume Range Profile with Fair Value (Zeiierman)█ Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price.
⚪ In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control
█ How It Works
⚪ Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⚪ Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⚪ Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ≥ Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⚪ Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically — green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
█ How to Use
⚪ Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⚪ Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⚪ Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
█ Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) → Total volume where candles closed bullish
Sell Vol (red label) → Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol → Bullish accumulation zone
Higher Sell Vol → Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
█ Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % – How much of the volume was buying (price closed up)
Sell % – How much was selling (price closed down)
Total % – How much of the entire zone’s volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % → Strong buying interest = likely support
High Sell % + High Total % → Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
█ Why It’s Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
█ Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
All-Time, Yearly & Monthly High/LowThis indicator visually tracks and displays:
• All-Time High (ATH) – The highest price the asset has ever reached
• All-Time Low (ATL) – The lowest price the asset has ever reached
• Yearly High/Low – The highest and lowest prices recorded in the current calendar year
• Monthly High/Low – The highest and lowest prices in the current calendar month
It helps traders quickly identify major support/resistance levels and historical price extremes across different timeframes. Level
Color
Updates When
All-Time High
Red
A new highest price ever is reached
All-Time Low
Green
A new lowest price ever is reached
Yearly High
Orange
New yearly high occurs or changes with new year
Yearly Low
Teal
New yearly low occurs or changes with new year
Monthly High
Fuchsia
New monthly high or at the start of each new month
Monthly Low
Navy Blue
New monthly low or at the start of each new month This indicator is especially useful for:
• Swing traders watching monthly or yearly trend zones
• Breakout traders looking to spot price levels where breakouts might occur
• Reversal traders using all-time levels for high-risk reward zones
• Long-term investors gauging historical extremes for entries/exits
Multi-Factor Reversal AnalyzerMulti-Factor Reversal Analyzer – Quantitative Reversal Signal System
OVERVIEW
Multi-Factor Reversal Analyzer is a comprehensive technical analysis toolkit designed to detect market tops and bottoms with high precision. It combines trend momentum analysis, price action behavior, wave oscillation structure, and volatility breakout potential into one unified indicator.
This indicator is not a random mix of tools — each module is carefully selected for a specific purpose. When combined, they form a multi-dimensional view of the market, merging trend analysis, momentum divergence, and volatility compression to produce high-confidence signals.
Why Combine These Modules?
Module Combination Ideas & How to Use Them
Factor A: Trend Detector + Gold Zone
Concept:
• The Trend Detector (light yellow histogram) evaluates market strength:
• Histogram trending downward or staying below 50 → bearish conditions;
• Trending upward or staying above 50 → bullish conditions.
• The Gold Zone identifies areas of volatility compression — typically a prelude to explosive market moves.
Practical Application:
• When the Gold Zone appears and the Trend Detector is bearish → likely downside move;
• When the Gold Zone appears and the Trend Detector is bullish → likely upside breakout.
• Note: The Gold Zone does not mean the bottom is in. It is not a buy signal on its own — always combine it with other modules for directional bias.
Factor B: PAI + Wave Trend
Concept:
• PAI (Price Action Index) is a custom oscillator that combines price momentum with volatility dispersion, displaying strength zones:
• Green area → bullish dominance;
• Red area → bearish pressure.
• Wave Trend offers smoothed crossover signals via the main and signal lines.
Practical Application:
• When PAI is in the green zone and Wave Trend makes a bullish crossover → potential reversal to the upside;
• When PAI is in the red zone and Wave Trend shows a bearish crossover → potential start of a downtrend.
Factor C: Trend Detector + PAI
Concept:
• Combines directional trend strength with price action strength to confirm setups via confluence.
Practical Application:
• Trend Detector histogram bottoms out + PAI enters the green zone → high chance of upward reversal;
• Histogram tops out + PAI in the red zone → increased likelihood of downside continuation.
Multi-Factor Confluence (Advanced Use)
• When Trend Detector, PAI, and Wave Trend all align in the same direction (bullish or bearish), the directional signal becomes significantly more reliable.
• This setup is especially useful for trend-following or swing trade entries.
KEY FEATURES
1. Multi-Layer Reversal Logic
• Combines trend scoring, oscillator divergence, and volatility squeezes for triangulated reversal detection.
• Helps traders distinguish between trend pullbacks and true reversals.
2. Advanced Divergence Detection
• Detects both regular and hidden divergences using pivot-based confirmation logic.
• Customizable lookback ranges and pivot sensitivity provide flexible tuning for different market styles.
3. Gold Zone Volatility Compression
• Highlights pre-breakout zones using custom oscillation models (RSI, harmonic, Karobein, etc.).
• Improves anticipation of breakout opportunities following low-volatility compressions.
4. Trend Direction Context
• PAI and Trend Score components provide top-down insight into prevailing bias.
• Built-in “Straddle Area” highlights consolidation zones; breakouts from this area often signal new trend phases.
5. Flexible Visualization
• Color-coded trend bars, reversal markers, normalized oscillator plots, and trend strength labels.
• Designed for both visual discretionary traders and data-driven system developers.
USAGE GUIDELINES
1. Applicable Markets
• Suitable for stocks, crypto, futures, and forex
• Supports reversal, mean-reversion, and breakout trading styles
2. Recommended Timeframes
• Short-term traders: 5m / 15m / 1H — use Wave Trend divergence + Gold Zone
• Swing traders: 4H / Daily — rely on Price Action Index and Trend Detector
• Macro trend context: use PAI HTF mode for higher timeframe overlays
3. Reversal Strategy Flow
• Watch for divergence (WT/PAI) + Gold Zone compression
• Confirm with Trend Score weakening or flipping
• Use Straddle Area breakout for final trigger
• Optional: enable bar coloring or labels for visual reinforcement
• The indicator performs optimally when used in conjunction with a harmonic pattern recognition tool
4. Additional Note on the Gold Zone
The “Gold Zone” does not directly indicate a market bottom. Since it is displayed at the bottom of the chart, it may be misunderstood as a bullish signal. In reality, the Gold Zone represents a compression of price momentum and volatility, suggesting that a significant directional move is about to occur. The direction of that move—upward or downward—should be determined by analyzing the histogram:
• If histogram momentum is weakening, the Gold Zone may precede a downward move.
• If histogram momentum is strengthening, it may signal an upcoming rebound or rally.
Treat the Gold Zone as a warning of impending volatility, and always combine it with trend indicators for accurate directional judgment.
RISK DISCLAIMER
• This indicator calculates trend direction based on historical data and cannot guarantee future market performance. When using this indicator for trading, always combine it with other technical analysis tools, fundamental analysis, and personal trading experience for comprehensive decision-making.
• Market conditions are uncertain, and trend signals may result in false positives or lag. Traders should avoid over-reliance on indicator signals and implement stop-loss strategies and risk management techniques to reduce potential losses.
• Leverage trading carries high risks and may result in rapid capital loss. If using this indicator in leveraged markets (such as futures, forex, or cryptocurrency derivatives), exercise caution, manage risks properly, and set reasonable stop-loss/take-profit levels to protect funds.
• All trading decisions are the sole responsibility of the trader. The developer is not liable for any trading losses. This indicator is for technical analysis reference only and does not constitute investment advice.
• Before live trading, it is recommended to use a demo account for testing to fully understand how to use the indicator and apply proper risk management strategies.
CHANGELOG
v1.0: Initial release featuring integrated Price Action Index, Trend Strength Scoring, Wave Trend Oscillator, Gold Zone Compression Detection, and dual-type divergence recognition. Supports higher timeframe (HTF) synchronization, visual signal markers, and diversified parameter configurations.
Rolling Beta against SPY📈 Pine Script Showcase: Rolling Beta Against SPY
Understanding how your favorite stock or ETF moves in relation to a benchmark like the S&P 500 can offer powerful insights into risk and exposure. This script calculates and visualizes the rolling beta of any asset versus the SPY ETF (which tracks the S&P 500).
🧠 What Is Beta?
Beta measures the sensitivity of an asset's returns to movements in the broader market. A beta of:
- 1.0 means the asset moves in lockstep with SPY,
- >1.0 indicates higher volatility than the market,
- <1.0 implies lower volatility or possible defensive behavior,
- <0 suggests inverse correlation (e.g., hedging instruments).
🧮 How It Works
This script computes rolling beta over a user-defined window (default = 60 periods) using classic linear regression math:
- Calculates daily returns for both the asset and SPY.
- Computes covariance between the two return streams.
- Divides by the variance of SPY returns to get beta.
⚙️ Customization
You can adjust the window size to control the smoothing:
- Shorter windows capture recent volatility changes,
- Longer windows give more stable, long-term estimates.
📊 Visual Output
The script plots the beta series dynamically, allowing you to observe how your asset’s correlation to SPY evolves over time. This is especially useful in regime-change environments or during major macroeconomic shifts.
💡 Use Cases
- Portfolio construction: Understand how your assets co-move with the market.
- Risk management: Detect when beta spikes—potentially signaling higher market sensitivity.
- Market timing: Use beta shifts to infer changing investor sentiment or market structure.
📌 Pro Tip: Combine this rolling beta with volatility, Sharpe ratio, or correlation tracking for a more robust factor-based analysis.
Ready to add a layer of quantitative insight to your chart? Add the script to your watchlist and start analyzing your favorite tickers against SPY today!
PG Mean revision price to vwma and MAsHere's a concise breakdown for your users:
- Selection of Moving Average Type:- Choose VWMA, EMA, or SMA, along with the source (e.g., closing price) and length for the calculation.
- Price-MA Difference Calculation:- Calculates the difference between the closing price and the selected moving average.
- Additional Moving Averages:- Applies three customizable moving averages (MA1, MA2, MA3) to the price-MA difference.
- Dynamic Plotting:- Plots the price-MA difference in red, and overlays the moving averages (blue, orange, purple). MA1 can be dynamically colored red/green based on its trend.
- Zero Reference Line:- Includes a horizontal line at zero for easy visual reference.
This tool helps analyze price trends and deviations for better trading decisions!
Best Fit Linear Regression with StdDev BandsBest Fit Linear Regression with Standard Deviation Bands
The Best Fit Linear Regression with StdDev Bands is a custom TradingView indicator designed to analyze price trends and volatility over a specified number of bars. It plots a linear regression line representing the best fit for the selected price data, accompanied by optional standard deviation bands to visualize price dispersion.
📈 Key Features
Linear Regression Line: Calculates the best-fit line over a user-defined number of bars, providing a clear visualization of the prevailing price trend.
TradingView
Standard Deviation Bands: Optional upper and lower bands set at a multiple of the standard deviation from the regression line, indicating potential support and resistance levels.
Price Source Selection: Choose between using the closing price or the midpoint (average of high and low) for calculations.
Weighting Options: Apply True Range weighting to emphasize periods of higher volatility in the regression calculation.
Trend Strength Indicator: Displays a normalized strength value between -1 and 1, indicating the direction and magnitude of the trend.
Customizable Appearance: Adjust line color, width, label position, and background color to suit your preferences.
Extendable Lines: Option to extend the regression and standard deviation lines beyond the visible bars for projection purposes.
⚙️ Input Parameters
Bars to Analyze: Number of bars to include in the regression calculation (default: 100).
Price Value: Select "Close" or "Midpoint" as the data source for calculations.
Weighting Method: Choose between "None" or "True Range" weighting.
Line Color & Width: Customize the color and thickness of the regression line.
Label Position: Place the informational label at the start, center, or end of the regression line.
Label Background Color: Set the background color for the informational label.
Extend Line Beyond Visible Bars: Option to project the regression line into future bars.
Show Standard Deviation Bands: Toggle the visibility of the standard deviation bands.
Standard Deviation Multiplier: Set the multiplier for the standard deviation bands (default: 1.0).
StdDev Bands Color: Customize the color and transparency of the standard deviation bands.
🧮 How It Works
Data Collection: Gathers price data based on the selected source (Close or Midpoint) over the specified number of bars.
Weighting (Optional): Applies True Range weighting if selected, giving more importance to bars with higher volatility.
Regression Calculation: Computes the slope and intercept of the best-fit line using the least squares method.
Standard Deviation: Calculates the standard deviation of the price data from the regression line to determine the dispersion.
Plotting: Draws the regression line and, if enabled, the upper and lower standard deviation bands.
Labeling: Displays a label indicating the trend direction (Bullish, Bearish, or Neutral), strength percentage, and standard deviation value.
📊 Interpretation
Trend Direction: The slope of the regression line indicates the trend direction.
Trend Strength: The normalized strength value provides insight into the magnitude of the trend.
Price Position: Prices near or beyond the standard deviation bands may indicate overbought or oversold conditions.
TradingView
🛠️ Use Cases
Trend Analysis: Identify and confirm the direction and strength of market trends.
Volatility Assessment: Gauge market volatility through the width of the standard deviation bands.
Support and Resistance: Use the standard deviation bands to identify potential support and resistance levels.
Trade Timing: Assist in determining optimal entry and exit points based on price interaction with the regression line and bands.
This indicator is particularly useful for traders seeking a statistical approach to trend analysis, offering customizable options to tailor the tool to various trading strategies and preferences.
