Sakthi VWAP UPDATED**Sakthi VWAP Indicator**
"Sakthi VWAP" is a custom technical analysis indicator designed for use on TradingView. It calculates the Volume-Weighted Average Price (VWAP) and identifies bullish and bearish price action relative to the VWAP.
**Key Features:**
1. **VWAP Calculation**: The indicator computes the VWAP based on the closing price, representing the average price of a security adjusted for its volume throughout the trading day.
2. **Bullish and Bearish Logic**:
- If the closing price is above the VWAP, it signals a bullish condition (highlighted by red circles).
- If the closing price is below the VWAP, it signals a bearish condition (highlighted by green circles).
3. **Max Price Calculation**: The indicator tracks the highest closing price during the session and stores it for later reference.
4. **Base Calculation**: A midpoint is calculated as the average of bullish and bearish values, which can be used for further analysis.
5. **Alert Conditions**: The script includes alert conditions for bullish and bearish signals, notifying the trader when the price crosses above or below the VWAP.
This script is ideal for traders looking to spot market trends based on VWAP while providing clear visual cues for bullish or bearish conditions. Alerts help automate the decision-making process, keeping traders informed about significant price movements.
Trend Analysis
Sakthi VWAPSakthi VWAP Indicator
The "Sakthi VWAP" is a custom technical analysis indicator designed for use on TradingView. It calculates the Volume-Weighted Average Price (VWAP) and identifies bullish and bearish price action relative to the VWAP.
Key Features:
VWAP Calculation: The indicator computes the VWAP based on the closing price, representing the average price of a security adjusted for its volume throughout the trading day.
Bullish and Bearish Logic:
If the closing price is above the VWAP, it signals a bullish condition (highlighted by red circles).
If the closing price is below the VWAP, it signals a bearish condition (highlighted by green circles).
Max Price Calculation: The indicator tracks the highest closing price during the session and stores it for later reference.
Base Calculation: A midpoint is calculated as the average of bullish and bearish values, which can be used for further analysis.
Alert Conditions: The script includes alert conditions for bullish and bearish signals, notifying the trader when the price crosses above or below the VWAP.
This script is ideal for traders looking to spot market trends based on VWAP while providing clear visual cues for bullish or bearish conditions. Alerts help automate the decision-making process, keeping traders informed about significant price movements.
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.
Market Movement After OpenDescription:
This script provides a detailed visualization of market movements during key trading hours: the German market opening (08:00–09:00 UTC+1) and the US market opening (15:30–16:30 UTC+1). It is designed to help traders analyze price behavior in these critical trading periods by capturing and presenting movement patterns and trends directly on the chart and in an interactive table.
Key Features:
Market Movement Analysis:
Tracks the price movement during the German market's first hour (08:00–09:00 UTC+1) and the US market's opening session (15:30–16:30 UTC+1).
Analyzes whether the price moved up or down during these intervals.
Visual Representation:
Dynamically colored price lines indicate upward (green) or downward (red) movement during the respective periods.
Labels ("DE" for Germany and "US" for the United States) mark key moments in the chart.
Historical Data Table:
Displays the past 10 trading days' movement trends in an interactive table, including:
Date: Trading date.
German Market Movement: Up (▲), Down (▼), or Neutral (-) for 08:00–09:00 UTC+1.
US Market Movement: Up (▲), Down (▼), or Neutral (-) for 15:30–16:30 UTC+1.
The table uses color coding for easy interpretation: green for upward movements, red for downward, and gray for neutral.
Real-Time Updates:
Automatically updates during live trading sessions to reflect the most recent movements.
Highlights incomplete periods (e.g., ongoing sessions) to indicate their status.
Customizable:
Suitable for intraday analysis or broader studies of market trends.
Designed to overlay directly on any price chart.
Use Case:
This script is particularly useful for traders who focus on market openings, which are often characterized by high volatility and significant price movements. By providing a clear visual representation of historical and live data, it aids in understanding and capitalizing on market trends during these critical periods.
Notes:
The script works best when the chart is set to the appropriate timezone (UTC+1 for the German market or your local equivalent).
For precise trading decisions, consider combining this script with other technical indicators or trading strategies.
Feel free to share feedback or suggest additional features to enhance the script!
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.
RSI StatusSimple anchored text box (bottom-left) that indicates whether RSI in bullish or bearish indication (ie. RSI above or below its ema).
LSMA Swing PointsLSMA Swing Points Indicator
The LSMA Swing Points Indicator is a technical analysis tool designed for identifying key swing points in price movements. It combines the Least Squares Moving Average (LSMA) with a swing point detection algorithm to highlight potential bullish and bearish turning points in the market.
Key Features
Dynamic LSMA Calculations:
Uses LSMA applied to the high and low prices for precise trend tracking.
Highlights areas where the price is overbought or oversold relative to the LSMA trend.
Swing Point Detection:
Bullish Swing Points: Occur when the current LSMA-high matches the highest LSMA value over a defined lookback period.
Bearish Swing Points: Occur when the current LSMA-low matches the lowest LSMA value over the same lookback period.
Trend Visualization:
Green Lines: Indicate bullish swing points, signaling potential upward reversals or continuation.
Red Lines: Indicate bearish swing points, signaling potential downward reversals or continuation.
Trendline (based on a 21-period linear regression of the close) changes its color dynamically to reflect the prevailing market sentiment.
Input Parameters
Lookback: Defines the range for calculating the highest and lowest LSMA values. Default is 30.
Length: Sets the length of the LSMA for smoothing. Default is 5.
Trading Applications
Reversal Trading: Identify areas where price action might reverse based on LSMA swing points.
Trend Confirmation: Use the dynamic trendline to confirm the current market direction.
Support and Resistance Levels: Swing points often align with significant support or resistance zones.
How to Use
Look for green lines to identify bullish setups and red lines for bearish setups.
Use the dynamic trendline color as confirmation of the market sentiment.
Combine with other indicators like RSI or volume to validate trade entries and exits.
Customization
The indicator's parameters can be adjusted to suit different market conditions or trading styles. Experiment with the lookback and length settings to optimize performance for your chosen asset and timeframe.
This indicator is particularly useful for trending markets, where swing points and trendlines provide clear entry and exit signals. However, it should be complemented with additional analysis in sideways or highly volatile markets.
8 Günlük ve 21 Günlük SMA Stratejisi8 gün (bar) ve 13 gün (bar) arasındaki basit hareketli ortalamaya dayalı al sat sinyali üreten bir indikatördür.
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")
MM8 Advanced Regression HistogramMM8 Advanced Regression Histogram
Description :
The MM8 Advanced Regression Histogram is a professional-grade TradingView script that combines regression analysis with intuitive visual elements. This tool is designed to help traders identify key price trends, support/resistance zones, and volatility areas in a more efficient and visually appealing manner.
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Key Features:
1. Dynamic Regression Channel:
- Automatically calculates and plots regression channels based on the selected length.
- Uses a customizable multiplier to adjust the channel width, allowing users to adapt to different market conditions.
2. Histogram Visualization:
- Divides the regression channel into customizable bins, helping traders see price distribution across the channel.
- Histogram bars are color-coded to provide clear insights into price activity.
3. Gradient Coloring:
- Smooth gradient colors shift from **blue (upper zone)** to **white (midpoint)** and **red (lower zone)**, giving traders an immediate visual cue about price positioning within the channel.
4. Customizable Style Options:
- Adjustable line styles (solid, dashed, dotted) for regression lines.
- Flexible histogram visibility and color options to suit individual preferences.
5. Real-time Adaptability:
- Automatically updates as new bars are formed, ensuring traders always have the most up-to-date analysis.
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How to Use:
1. Apply the script to any standard candlestick chart
2. Adjust the Length parameter to define the number of candles for regression calculation.
3. Set the Bins Number to divide the channel into segments that suit your trading strategy.
4. Customize the Multiplier to adjust the channel width according to market volatility.
5. Toggle the histogram display and adjust its colors for better visualization.
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Best For:
- Day traders and swing traders looking for precise price analysis tools.
- Traders interested in combining regression analysis with visual histogram insights.
- Identifying key support/resistance zones and potential breakout levels.
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Important Notes:
- This script is designed for educational purposes and should not be used as a standalone trading signal.
- Ensure proper risk management and market understanding while using this tool.
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Why MM8 Advanced Regression Histogram Stands Out:
This script provides a seamless blend of mathematical accuracy and visual simplicity, making it an excellent choice for traders who value both precision and usability.
Определение точек разворотаПоказывает в реальном времени точку разворота на покупку или продажу
Определение точки разворота основано на анализе функциональных, действенных паттернов и индикаторов.
Маркер зеленый треугольник указывает на восходящий тренд, красный на нисходящий.
В настройках возможно настроить уведомления.
@Naveen-Momentum BuyThis Indicator showing Buy/Sell signals.
RSI(14)>60 BUY and
Macd and RS(55)andRS(21)>Nifty also
Ema's
Moving Average with Std DeviationsA simple indicator to show a Moving Average with the option to show Standard Deviations of that Moving Average.
When price moves to the outer bands, this can indicate that it is becoming over extended, and may revert back to the mean, have a pull back in a trend, amongst other things.
Created for my own use, but you are welcome to use it if you find it useful.
Thanks!
GC-fin-dataIts financial data indicator, Helps to find changes in EPS, future EPS, PE, Revenue and net income along with price chart.
PPO/ADX Pinch Strategy CobyTweak 2 This tool can help analyze the momentum and trend strength of an asset to identify:
Periods of Strong Trends: Indicated by a high ADX.
Potential Reversals or Breakouts: Highlighted during "pinch zones."
Momentum Shifts: Tracked using the PPO Line, Signal Line, and histogram.
The script uses the asset's closing price to calculate all indicators, providing actionable insights for both short-term and long-term trading strategies.\This Pine Script plots two technical indicators, the Percentage Price Oscillator (PPO) and the Average Directional Index (ADX), for the underlying asset (e.g., stock, forex pair, or cryptocurrency). It helps identify periods of trend strength and potential price "pinch" zones, which can signal consolidations or reversals.
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.
Jalambi Paul modelKey Components
Inputs:
Window Length (window): The number of periods for calculating the rolling statistics. Default is set to 50.
Risk Percentage (risk_percentage): The percentage of capital risked per trade. Default is 1.0%.
Stop Loss and Take Profit Levels:
Stop Loss: Default is 2% of the entry price.
Take Profit: Default is 4% of the entry price.
Logarithmic Returns:
Calculates the logarithmic return of the price series using:
log_return
=
log
(
close
close
)
log_return=log(
close
close
)
This helps in normalizing price changes.
Rolling Statistics:
Mean (rolling_mean): Calculated over the rolling window using the Simple Moving Average (SMA).
Standard Deviation (rolling_std): Measured over the rolling window to understand volatility.
Shiryaev-Zhou Index (SZI):
The SZI is a standardized z-score:
SZI
=
log_return
−
rolling_mean
rolling_std
SZI=
rolling_std
log_return−rolling_mean
This metric is used to detect overbought or oversold conditions.
Signal Generation:
Buy Signal (long_signal): Triggered when SZI is below a fixed threshold (-2.0).
Sell Signal (short_signal): Triggered when SZI is above a fixed threshold (2.0).
Visuals on the Chart:
Buy signals are plotted below the price bars with green upward-pointing labels.
Sell signals are plotted above the price bars with red downward-pointing labels.
Trade Execution:
Entry Conditions:
Long positions are opened when long_signal is true.
Short positions are opened when short_signal is true.
Exit Conditions:
Stop Loss and Take Profit levels are calculated based on the entry price and the respective percentage inputs.
Positions are closed automatically when these levels are hit.
Visualization:
Plots the stop-loss (red line) and take-profit (green line) levels on the chart for easier tracking.
4 MAsThe 4 MAs indicator is a moving average crossover tool designed to identify market trends and provide potential entry and exit signals. By plotting four simple moving averages (SMAs) of different periods, this indicator helps traders understand both short-term and long-term market dynamics. It is particularly suited for trend-following strategies and can be applied across various timeframes, such as daily, hourly, or intraday charts.
Features:
1. Moving Average Visualization:
- Short-term Moving Averages (MA 5 and MA 10): Highlight short-term market fluctuations.
- Mid-term Moving Average (MA 15): Serves as a reference for medium-term trends.
- Long-term Moving Average (MA 30): Represents the broader market trend.
2. Trend Signal Detection:
- Bullish Signal: When the 5-period moving average crosses above the 30-period moving average (golden cross), a yellow upward arrow is displayed below the price bar, indicating a potential uptrend.
- Bearish Signal: When the 5-period moving average crosses below the 30-period moving average (death cross), a red downward arrow is displayed above the price bar, signaling a potential downtrend.
Key Advantages:
- Multi-timeframe Versatility: Works well on various timeframes, making it suitable for both short-term scalping and long-term trend analysis.
- Simple Visualization: Clear signals and trend identification through color-coded moving averages and signal arrows.
- Customizable: The SMA periods can be adjusted to align with the trader's preferred strategy or market conditions.
EMA Squeeze RythmHere's a description of this indicator and its purpose:
This indicator is based on the concept of price consolidation and volatility contraction using multiple Exponential Moving Averages (EMAs). It primarily looks for "squeeze" conditions where the EMAs converge, indicating potential market consolidation and subsequent breakout opportunities.
Key Features:
1. Uses 8 EMAs (20-55 period) to measure price compression
2. Measures the distance between fastest (20) and slowest (55) EMAs in ATR units
3. Identifies four distinct states:
- PRE-SQZE: Initial convergence of EMAs
- SQZE: Tighter convergence
- EXT-SQZE: Extreme convergence (highest probability of breakout)
- RELEASE: EMAs begin to expand (potential breakout in progress)
Best Used For:
- Identifying potential breakout setups
- Finding periods of low volatility before explosive moves
- Confirming trend strength using higher timeframe analysis
- Trading mean reversion strategies during squeeze states
- Catching momentum moves during release states
The indicator works well on any timeframe but is particularly effective on 15M to 4H charts for most liquid markets. It includes higher timeframe analysis to help confirm the broader market context.
Vikas_RSI Based TradingRSI-Based Trading Strategy with No Trading Zone and ATR Stop Loss
Description of the RSI-Based Trading Strategy with No Trading Zone and ATR Stop Loss
This Pine Script strategy utilizes the Relative Strength Index (RSI) to identify potential entry and exit points for long (buy) and short (sell) positions in a trading instrument. It incorporates a unique "No Trading Zone" feature and an ATR-based stop loss mechanism for risk management.
RMA 15 and RMA 10 Cross Strategy (Exit on Next Signal)
The RMA Cross Strategy involves using two Rolling Moving Averages (RMA), typically one with a short period (e.g., 10) and another with a longer period (e.g., 15). The strategy generates trading signals based on the crossover of these RMAs:
Signals:
Buy Signal: When the RMA with a shorter period (RMA 10) crosses above the RMA with a longer period (RMA 15), indicating an upward trend.
Sell Signal: When the RMA with a shorter period (RMA 10) crosses below the RMA with a longer period (RMA 15), indicating a downward trend.
Zones by PACEEE (UTC)This code is designed to display vertical lines and labels on a trading chart at specified predefined times, all in UTC. The times to mark on the chart are provided in the predefinedTimes array (in HH:MM format), and each time is associated with a custom label from the lineNames array. The code calculates and plots vertical lines on the chart to mark these times, with the option to display a label above each line.
Times defined by PACE!!
