TS Aggregated Median Absolute DeviationTS Aggregated Median Absolute Deviation (MAD) Indicator Explanation
Overview
The TS Aggregated Median Absolute Deviation (MAD) is a powerful indicator designed for traders looking for momentum-based strategies. By aggregating the Median Absolute Deviation (MAD) across multiple timeframes, it provides a comprehensive view of market dynamics. This indicator helps identify potential reversal points, overbought/oversold conditions, and general market trends by leveraging the concept of MAD, which measures price dispersion from the median.
Signal Generation:
Long Signal: Triggered when the price moves above the aggregated upper band
Short Signal: Triggered when the price moves below the aggregated red band
Alerts:
Real-time alerts are integrated to notify the user of long or short signals when confirmed:
Long Signal Alert: "TS MAD Flipped ⬆LONG⬆"
Short Signal Alert: "TS MAD Flipped ⬇Short⬇"
Optimization:
Adjust thresholds, MAD lengths, and multipliers for each timeframe to suit the specific asset and market conditions.
Experiment with enabling/disabling MAD components to focus on particular timeframes.
Volatilität
VWAP + FVG DetectorVWAP + FVG Detector
A VWAP + FVG Detector tool would likely combine these two concepts to help traders identify potential areas of opportunity. For example:
It could help identify when the price is moving away from the VWAP and into a fair value gap, signaling a potential reversal or continuation based on the imbalance.
It may also help to pinpoint areas where price might revert back to the VWAP after a significant move, taking into account the gaps between price and VWAP levels.
This combination could be useful in intraday trading, where traders look for price imbalances and aim to trade them with respect to the VWAP as a key reference level.
Are you looking for a script to implement this, or more information on how these strategies work together?
U Bot V6This indicator is simply the updated of UT Bot Alerts by QuantNomad.
Credit @QuantNomad
UT Bot indicator was initially developer by Yo_adriiiiaan
The idea of original code belongs HPotter
I translated it from V4 to V5 and V6, for a better alignement with Pine Script requirements.
I publish it in the purpose of integrating it into a strategy that I will publish later, in free access (in the spirit of Tradingview community).
Market Flow Volatility Oscillator (AiBitcoinTrend)The Market Flow Volatility Oscillator (AiBitcoinTrend) is a cutting-edge technical analysis tool designed to evaluate and classify market volatility regimes. By leveraging Gaussian filtering and clustering techniques, this indicator provides traders with clear insights into periods of high and low volatility, helping them adapt their strategies to evolving market conditions. Built for precision and clarity, it combines advanced mathematical models with intuitive visual feedback to identify trends and volatility shifts effectively.
👽 How the Indicator Works
👾 Volatility Classification with Gaussian Filtering
The indicator detects volatility levels by applying Gaussian filters to the price series. Gaussian filters smooth out noise while preserving significant price movements. Traders can adjust the smoothing levels using sigma parameters, enabling greater flexibility:
Low Sigma: Emphasizes short-term volatility.
High Sigma: Captures broader trends with reduced sensitivity to small fluctuations.
👾 Clustering Algorithm for Regime Detection
The core of this indicator is its clustering model, which classifies market conditions into two distinct regimes:
Low Volatility Regime: Calm periods with reduced market activity.
High Volatility Regime: Intense periods with heightened price movements.
The clustering process works as follows:
A rolling window of data is analyzed to calculate the standard deviation of price returns.
Two cluster centers are initialized using the 25th and 75th percentiles of the data distribution.
Each price volatility value is assigned to the nearest cluster based on its distance to the centers.
The cluster centers are refined iteratively, providing an accurate and adaptive classification.
👾 Oscillator Generation with Slope R-Values
The indicator computes Gaussian filter slopes to generate oscillators that visualize trends:
Oscillator Low: Captures low-frequency market behavior.
Oscillator High: Tracks high-frequency, faster-changing trends.
The slope is measured using the R-value of the linear regression fit, scaled and adjusted for easier interpretation.
👽 Applications
👾 Trend Trading
When the oscillator rises above 0.5, it signals potential bullish momentum, while dips below 0.5 suggest bearish sentiment.
👾 Pullback Detection
When the oscillator peaks, especially in overbought or oversold zones, provide early warnings of potential reversals.
👽 Indicator Settings
👾 Oscillator Settings
Sigma Low/High: Controls the smoothness of the oscillators.
Smaller Values: React faster to price changes but introduce more noise.
Larger Values: Provide smoother signals with longer-term insights.
👾 Window Size and Refit Interval
Window Size: Defines the rolling period for cluster and volatility calculations.
Shorter windows: adapt faster to market changes.
Longer windows: produce stable, reliable classifications.
Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
VWAP + FVG DetectorA VWAP + FVG Detector is a tool used in trading that combines two concepts to identify potential trading opportunities. VWAP (Volume Weighted Average Price) represents the average price of a stock, adjusted for the amount of trading volume at each price level throughout the day. Traders use it to assess whether the stock is overbought or oversold. On the other hand, FVG (Fair Value Gap) refers to gaps in price where the market has not fully adjusted or filled in, suggesting areas where price might return to a "fair value." The VWAP + FVG Detector helps traders spot moments when the price moves away from the VWAP and into an FVG, signaling possible price corrections or reversals. This combination allows traders to predict potential price movements, as the market often moves back toward the VWAP or fills in the gaps where price has been imbalanced.
Mongooses Short Squeeze Detector### **Description of the Short Squeeze Detector**
The **Short Squeeze Detector** is a tool designed to help traders identify potential short squeeze opportunities in the stock or cryptocurrency market. It highlights areas where conditions suggest that a significant price increase might occur as short sellers rush to cover their positions.
---
### **What Is a Short Squeeze?**
A **short squeeze** happens when many traders who bet against a stock or asset (by short selling) are forced to buy it back because the price is rising. This creates a chain reaction of buying, driving the price even higher. It’s often fueled by:
1. **High short interest**: A lot of short positions.
2. **Buying pressure**: Increased demand for the stock or asset.
3. **Volume spikes**: Heavy trading activity.
---
### **What This Indicator Shows**
This indicator analyzes four key factors:
1. **Short Interest (%)**: Measures how much of the stock is being shorted compared to its total available shares (or float).
2. **Days to Cover (DTC)**: Estimates how many days it would take for short sellers to cover their positions based on average trading volume.
3. **Volume Spikes**: Highlights periods of unusually high trading activity.
4. **Price Breakouts**: Identifies when the price moves significantly higher than the previous close.
When all these conditions align, the indicator signals a **potential short squeeze**.
---
### **How to Use the Indicator**
#### **1. Look for the Signals**
- **Red Arrows (Short Squeeze Alerts)**: Appear when the conditions for a short squeeze are met. This is your primary signal that a potential squeeze is happening.
- **Blue Circles (Price Breakouts)**: Indicate strong upward price movement, often a component of a short squeeze.
- **Green Circles (Volume Spikes)**: Show when trading activity is abnormally high, which may indicate buying pressure.
#### **2. Interpret the Visual Highlights**
- **Background Shading**: Red shading on the chart highlights areas where short squeeze conditions persist, signaling an ongoing squeeze.
#### **3. Confirm the Trend**
- Check if the signals occur during a strong upward price trend. This ensures you're trading with momentum and not against it.
- Look for consistent volume spikes and price breakouts, which indicate sustained buying pressure.
#### **4. Combine With Other Indicators**
- Use this tool alongside trend or momentum indicators (e.g., RSI, moving averages) to confirm the direction of the price movement.
- Fundamental news or events (e.g., earnings reports or announcements) can also support your analysis.
---
### **Why Use This Indicator?**
- **Beginner-Friendly**: The visual cues (arrows, circles, labels) make it easy to spot potential short squeezes.
- **Actionable Signals**: It highlights specific moments when conditions suggest a short squeeze could occur, helping you time your trades.
- **Customizable**: You can adjust thresholds for short interest, days to cover, and volume to suit your trading style.
---
### **Key Tips for Beginners**
1. **Don’t Jump on Every Signal**: Not all alerts lead to successful short squeezes. Use additional confirmation methods before trading.
2. **Manage Risk**: Short squeezes can be highly volatile. Set stop-loss orders to protect your capital.
3. **Do Your Homework**: Research the stock or asset to understand why a short squeeze might happen (e.g., high short interest, positive news).
---
This indicator is your starting point for spotting potential short squeezes and taking advantage of rapid price movements. Use it wisely, and let the visuals guide your analysis!
VIX Spike StrategyThis script implements a trading strategy based on the Volatility Index (VIX) and its standard deviation. It aims to enter a long position when the VIX exceeds a certain number of standard deviations above its moving average, which is a signal of a volatility spike. The position is then exited after a set number of periods.
VIX Symbol (vix_symbol): The input allows the user to specify the symbol for the VIX index (typically "CBOE:VIX").
Standard Deviation Length (stddev_length): The number of periods used to calculate the standard deviation of the VIX. This can be adjusted by the user.
Standard Deviation Multiplier (stddev_multiple): This multiplier is used to determine how many standard deviations above the moving average the VIX must exceed to trigger a long entry.
Exit Periods (exit_periods): The user specifies how many periods after entering the position the strategy will exit the trade.
Strategy Logic:
Data Loading: The script loads the VIX data, both for the current timeframe and as a rescaled version for calculation purposes.
Standard Deviation Calculation: It calculates both the moving average (SMA) and the standard deviation of the VIX over the specified period (stddev_length).
Entry Condition: A long position is entered when the VIX exceeds the moving average by a specified multiple of its standard deviation (calculated as vix_mean + stddev_multiple * vix_stddev).
Exit Condition: After the position is entered, it will be closed after the user-defined number of periods (exit_periods).
Visualization:
The VIX is plotted in blue.
The moving average of the VIX is plotted in orange.
The threshold for the VIX, which is the moving average plus the standard deviation multiplier, is plotted in red.
The background turns green when the entry condition is met, providing a visual cue.
Sources:
The VIX is often used as a measure of market volatility, with high values indicating increased uncertainty in the market.
Standard deviation is a statistical measure of the variability or dispersion of a set of data points. In financial markets, it is used to measure the volatility of asset prices.
References:
Bollerslev, T. (1986). "Generalized Autoregressive Conditional Heteroskedasticity." Journal of Econometrics.
Black, F., & Scholes, M. (1973). "The Pricing of Options and Corporate Liabilities." Journal of Political Economy.
Trend Trader-Remastered StrategyOfficial Strategy for Trend Trader - Remastered
Indicator: Trend Trader-Remastered (TTR)
Overview:
The Trend Trader-Remastered is a refined and highly sophisticated implementation of the Parabolic SAR designed to create strategic buy and sell entry signals, alongside precision take profit and re-entry signals based on marked Bill Williams (BW) fractals. Built with a deep emphasis on clarity and accuracy, this indicator ensures that only relevant and meaningful signals are generated, eliminating any unnecessary entries or exits.
Please check the indicator details and updates via the link above.
Important Disclosure:
My primary objective is to provide realistic strategies and a code base for the TradingView Community. Therefore, the default settings of the strategy version of the indicator have been set to reflect realistic world trading scenarios and best practices.
Key Features:
Strategy execution date&time range.
Take Profit Reduction Rate: The percentage of progressive reduction on active position size for take profit signals.
Example:
TP Reduce: 10%
Entry Position Size: 100
TP1: 100 - 10 = 90
TP2: 90 - 9 = 81
Re-Entry When Rate: The percentage of position size on initial entry of the signal to determine re-entry.
Example:
RE When: 50%
Entry Position Size: 100
Re-Entry Condition: Active Position Size < 50
Re-Entry Fill Rate: The percentage of position size on initial entry of the signal to be completed.
Example:
RE Fill: 75%
Entry Position Size: 100
Active Position Size: 50
Re-Entry Order Size: 25
Final Active Position Size:75
Important: Even RE When condition is met, the active position size required to drop below RE Fill rate to trigger re-entry order.
Key Points:
'Process Orders on Close' is enabled as Take Profit and Re-Entry signals must be executed on candle close.
'Calculate on Every Tick' is enabled as entry signals are required to be executed within candle time.
'Initial Capital' has been set to 10,000 USD.
'Default Quantity Type' has been set to 'Percent of Equity'.
'Default Quantity' has been set to 10% as the best practice of investing 10% of the assets.
'Currency' has been set to USD.
'Commission Type' has been set to 'Commission Percent'
'Commission Value' has been set to 0.05% to reflect the most realistic results with a common taker fee value.
BBDIV_StrategyBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2H
ATR Percentage Covered% of ATR covered from yesterday's close. If a stock's ATR is for example 40$ and the stock gapped down 20$ and dropped 10$ more after the open, the Indicator will show 0.75 (75%) (30/40). It helps to understand how much move is there still "in" the asset analyzing.
EMA Cross with both MinhTuanChiến lược này đơn giản.
Ema 9 cắt 21 trên ema 200 thì long.
Ema 9 cắt 21 dưới ema 200 thì short.
Có tuỳ chỉnh both cho anh em lựa chọn.
Chúc ae sẽ có nhiều may mắn giao dịch.
Vĩnh long =))
Bollinger Bubble BreakoutThe Bollinger Bubble Breakout (BBB) indicator is a tool for analyzing price movements using Bollinger Bands combined with additional moving averages. It is based on the idea, known as the "Bollinger Bubble Theory," that when a candle closes outside the Bollinger Bands, the price often returns quickly to the 7-period Exponential Moving Average (EMA).
Bollinger Bands are made up of a middle line, which is typically a moving average, and two outer bands that represent standard deviations from this line. These bands help identify when the price is overbought or oversold. The BBB indicator builds on this by adding customizable options for the middle line, allowing the user to choose between different types of moving averages, such as SMA or EMA.
The indicator provides visual signals when the price moves outside the bands. A buy signal appears when the price closes below the lower band, and a sell signal appears when it closes above the upper band. These signals are marked directly on the chart for clarity.
The BBB indicator also includes options to display a 7-period EMA and a 200-period SMA. The EMA shows the short-term reversion level, while the SMA helps identify the overall trend. This combination of tools makes the BBB indicator useful for spotting price reversals and understanding the market's trend context.
This indicator is easy to use and helps traders identify opportunities when price action becomes extreme. It is particularly helpful for those who look for mean reversion setups or want to combine short-term signals with long-term trend analysis.
5 STAGE '' ATR '' BUY-SELL STRATEGY--Colorful, interchangeable ATR stages
--Mark the levels opened on the chart immediately. When the price reaches your levels, exit the position according to your system or follow the price.
VWAP Strategy BY VGPATELThis strategy provides clear buy and sell signals based on the interaction of price and VWAP, helping traders to capitalize on intraday price movements while filtering out market noise.
Adaptive VWAP Bands with Garman Klass VolatilityThis strategy utilizes the volume weighted average price, adjusted by volatility. Standard deviation bands are applied to the MA, if price closes above 1STD this indicates a bullish trend and the strategy goes long. If a close below 1STD the long is closed.
The standard deviation bands are adjusted by volatility using the Garman-Klass volatility formula: portfolioslab.com
The assumption is the more volatile an asset the less price is being accepted in a certain price range and thus the threshold to go long or close a long increases. In the inverse, the less volatile an asset is the more it's being accepted, then the threshold for a bullish breakout is lowered.
EGARCH Volatility Estimator
EGARCH Volatility Estimator (EVE)
Overview:
The EGARCH Volatility Estimator (EVE) is a Pine Script indicator designed to quantify market volatility using the Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) model. This model captures both symmetric and asymmetric volatility dynamics and provides a robust tool for analyzing market risk and trends.
Key Features:
Core EGARCH Formula:
ln(σ t 2 )=ω+α(∣ϵ t−1 ∣+γ⋅ϵ t−1 )+β⋅ln(σ t−1 2 )
ω (Omega): Captures long-term baseline volatility.
α (Alpha): Measures sensitivity to recent shocks.
γ (Gamma): Incorporates asymmetric effects (e.g., higher volatility during market drops).
β (Beta): Reflects the persistence of historical volatility.
The formula computes log-volatility, which is then converted to actual volatility for interpretation.
Standardized Returns:
The script calculates daily log-returns and standardizes them to measure deviations from expected price changes.
Percentile-Based Volatility Analysis:
Tracks the percentile rank of current volatility over a historical lookback period.
Highlights high, medium, or low volatility zones using dynamic background colors.
Dynamic Normalization:
Maps volatility into a normalized range ( ) for better visual interpretation.
Uses color gradients (green to red) to reflect changing volatility levels.
SMA Integration:
Adds a Simple Moving Average (SMA) of either EGARCH volatility or its percentile for trend analysis.
Interactive Display:
Displays current volatility and its percentile rank in a table for quick reference.
Includes high (75%) and low (25%) volatility threshold lines for actionable insights.
Applications:
Market Risk Assessment: Evaluate current and historical volatility to assess market risk levels.
Quantitative Strategy Development: Incorporate volatility dynamics into trading strategies, particularly for options or risk-managed portfolios.
Trend and Momentum Analysis: Use normalized or smoothed volatility trends to identify potential reversals or breakouts.
Asymmetric Volatility Detection: Highlight periods where downside or upside volatility dominates.
Visualization Enhancements:
Dynamic colors and thresholds make it intuitive to interpret market conditions.
Percentile views provide relative volatility context for historical comparison.
This indicator is a versatile tool for traders and analysts seeking deeper insights into market behavior, particularly in volatility-driven trading strategies.
Custom Volume Indicator by Augster67//@version=5
indicator("Custom Volume Indicator by Augster67", overlay=false)
// Input for moving average period
vol_avg_period = input.int(20, title="Volume Moving Average Period")
// Calculate volume components
buying_pressure = volume * (close > open ? (close - low) / (high - low) : (close - low) / (high - low))
selling_pressure = volume * (close < open ? (high - close) / (high - low) : (high - close) / (high - low))
// Calculate moving average of volume
vol_avg = ta.sma(volume, vol_avg_period)
// Plot total volume in gray behind buying and selling pressures
plot(volume, color=color.gray, title="Total Volume", style=plot.style_histogram, linewidth=2, transp=80)
// Plot buying and selling pressure as columns
plot(buying_pressure, color=color.green, title="Buying Pressure", style=plot.style_columns, linewidth=2)
plot(selling_pressure, color=color.red, title="Selling Pressure", style=plot.style_columns, linewidth=2)
// Plot volume moving average
plot(vol_avg, color=color.yellow, title="Volume Moving Average")
Pattern & Percent Pro"Candle Percentage Change with Patterns"
This might be one of the most powerful indicators available in TradingView for complete market trend analysis, which includes tracking the price and specifying the most important candlestick patterns. It has been designed for traders who want in-depth insight into market dynamics through visual hints, percentage-based calculations, and flexible settings.
Key Features:
Percentage Change Analysis:
Provides percentage change labels for every candle.
Label placement has three modes: all labels on top, alternate placement, or top for green candles and bottom for red candles.
Labels are user-configurable with custom colors for positive and negative changes.
Cumulative Change Tracking:
Calculates and displays cumulative percentage change over a user-specified number of candles.
Ideal for analyzing short-term trends or larger market movements.
Candlestick Pattern Detection:
Automatically identifies and labels key patterns such as:
Doji (including Dragonfly and Gravestone variants).
Hammer (standard and inverted).
Shooting Star.
Bullish and Bearish Marubozu.
Assists traders in the immediate identification of possible reversals or continuation patterns.
Heatmap Visualization:
Plots a color-coded background to show the magnitude of percentage changes.
Dynamic shades of green for positive changes and red for negative changes.
Heatmap can be enabled or disabled at will.
Candle Highlighting:
Highlights candles containing significant percentage changes based on user-set levels of threshold.
Provides a visual cue toward critical market movements.
High/Low Alert System:
Optional alerts when price travels over or below predefined boundaries
Custom text and background colors for high and low alerts
Audio and visual notifications immediately update you on the presence of significant price action
Trend Indicator:
Follows general market trend by using a weighted moving average
Arrows are displayed upward or downward for fast and easy visual identification
RSI Integration:
Enables the filtering of displayed percentage change labels based on RSI conditions, such as overbought or oversold levels.
Helps to provide more granular insights while removing some noise from the data.
Customizable UI:
Some features that can be turned on/off include heatmap, highlights, pattern detection, and RSI filters.
Adjustable label lifetime, cumulative change length, and warning/threshold levels.
Intuitive settings make it easy to adapt the indicator to any trading strategy.
ATR Oscillator with Dots and Dynamic Zero LineWhat It Is
The ATR Oscillator with Dots and Dynamic Zero Line is a custom indicator based on the Average True Range (ATR), designed to provide traders with enhanced insights into market volatility and directional bias. Unlike traditional ATR oscillators that plot continuous lines, this version uses distinct dots to display ATR values and includes a dynamic zero line that changes color based on market direction (uptrend, downtrend, or consolidation).
How It Works
ATR Calculation:
The indicator calculates the Average True Range over a user-defined period (default: 14 bars). ATR measures market volatility by considering the range between the high, low, and close of each bar.
Dots for ATR Values:
Instead of plotting ATR values as a continuous line, the indicator represents each value as an individual blue dot. This format highlights changes in volatility without visually connecting them, helping to avoid false trends and clutter.
Dynamic Zero Line:
A horizontal zero line provides additional directional context. The line changes color dynamically:
Green: Indicates an uptrend (price is consistently closing higher over consecutive bars).
Red: Indicates a downtrend (price is consistently closing lower over consecutive bars).
Gray: Indicates market consolidation or sideways movement (no clear trend in price).
The thickness and step-like style of the zero line make it visually prominent, enabling quick interpretation of market direction.
What It Does
Visualizes Market Volatility:
By plotting ATR values as dots, the oscillator emphasizes periods of heightened or reduced market activity, helping traders anticipate breakout opportunities or avoid low-volatility zones.
Provides Trend Context:
The dynamic zero line gives traders a clear signal of the prevailing market trend (uptrend, downtrend, or consolidation), which can be used to align trading strategies with the broader market context.
Avoids Misleading Trends:
Unlike traditional ATR oscillators that use continuous lines, this version eliminates visual artifacts caused by noise, such as false trends during consolidation periods.
Simplifies Interpretation:
The combination of ATR dots and a color-coded zero line creates a straightforward and intuitive tool for assessing both volatility and market direction.
Why It’s More Useful Than a Traditional ATR Oscillator
Enhanced Visibility:
The use of dots instead of a continuous line makes it easier to spot discrete changes in ATR values, avoiding visual clutter and false impressions of smooth trends.
Dynamic Market Context:
Traditional ATR oscillators only measure volatility, offering no indication of market direction. The dynamic zero line in this oscillator adds valuable directional context, helping traders align their strategies with the trend.
Better for Range-Bound Markets:
The zero line’s color-changing feature highlights consolidation periods, enabling traders to identify and avoid trading during sideways, low-volatility conditions where false signals are common.
Quick Decision-Making:
With clear visual cues (dots and color-coded lines), traders can quickly assess market conditions without needing to analyze multiple charts or indicators.
Improved Confluence:
The oscillator’s signals can easily be combined with other tools like VWAP, Volume Profile, or Order Flow indicators for more confident trade decisions.
When to Use It
Trending Markets:
Use the dynamic zero line to confirm the market’s direction and align trades accordingly.
Breakout Opportunities:
Look for periods of increasing ATR (dots moving higher) to anticipate high-volatility breakout scenarios.
Avoiding Noise:
During consolidation (gray zero line), this oscillator warns traders to wait for clearer signals before entering trades.
SMA y HMA PersonalizablesEste indicador puede ser útil para observar cómo se comportan diferentes tipos de medios móviles (SMA y HMA) con distintos períodos en un gráfico de precios. Las SMA son buenas para ver tendencias a largo plazo, mientras que la HMA es conocida por su capacidad para reducir el retraso.
Relative Strength Index 30 45 55 70 levelsi use this indicator to confirm my trades , u can change the settings and use it as u perefer , the diffrence between the main rsi and this is just added 45 and 55 levels , nothing else good luck
7 Exponential Moving Averages with ATR & Volume VolatilityThis indicator features 7 EMA lines based on Fibonacci sequences, along with rising ATR and volume data, highlighting increased volatility by changing the background color of candlesticks.
It aims to assist users in tracking price movements while showing whether volatility increases during EMA crossovers.
Users can easily customize the indicator by adjusting parameters such as EMA, ATR, and volume lengths, as well as colors, in the settings menu to suit their personal preferences.
Effort vs Result with Std DevSummary Table:
Condition Effort-Result Ratio Interpretation
High Volume, Big Price Move Above +2 SD Strong move, efficient effort.
High Volume, Small Price Move Below Mean / -2 SD Weak move, possible exhaustion.
Low Volume, Big Price Move Above Mean / +2 SD Efficient effort, momentum strong.
Low Volume, Small Price Move Near Mean Market indecision, low activity.
