Next Candle Price Prediction FAJnext candle price prediction
Previous Day Data:
prevHigh, prevLow, and prevClose are calculated to capture the high, low, and close of the previous day. This is used to understand the previous day's price range and sentiment.
ATR Calculation:
The Average True Range (ATR) is a measure of volatility. We use it to estimate how much the price might move up or down from the previous close.
Predicted High and Low:
Using the previous close plus and minus the ATR value gives a range where the price might reach.
Predicted Target Price:
The script calculates a simple midpoint of the previous day's range to predict the target price for the next candle. This midpoint serves as a basic prediction, assuming price might oscillate within the previous day's range.
Plotting:
The script plots the predicted high, low, and target price as well as the previous day's high, low, and close for context.
Komut dosyalarını "high low" için ara
Ultra Key LevelsThe "Ultra Key Levels" indicator is a powerful tool designed for traders who seek to identify critical price levels in the market. This Pine Script™ indicator is optimized to plot significant pivot highs and lows directly on your chart, providing a clear visual representation of potential support and resistance zones.
Pivot Detection: Automatically identifies and marks pivot highs and lows using customizable parameters. Traders can fine-tune the length of the pivots, allowing for precise detection of significant price points.
Dynamic Boxes: The indicator draws dynamic boxes around each identified pivot high and low, highlighting key levels. These boxes are adjusted based on the Average True Range (ATR), ensuring they reflect the current market volatility.
Pivot Highs/Lows: Control the appearance and behavior of pivot points with options to adjust source data, length, transparency, and the maximum number of pivots displayed on the chart.
ATR Multiplier: Set the ATR multiplier to determine the size of the boxes around pivot points, helping you assess the strength of each level.
Debug Mode: Activate debug mode to visualize pivot points and fine-tune your settings for optimal performance.
Scalability: Supports up to 500 boxes, making it suitable for both short-term and long-term traders who need to track multiple levels across different timeframes.
The "Ultra Key Levels" indicator is ideal for traders who rely on technical analysis to make informed decisions. By automatically identifying and highlighting key price levels, this tool helps you anticipate potential market movements and optimize your trading strategy.
Market Structure Based Stop LossMarket Structure Based Dynamic Stop Loss
Introduction
The Market Structure Based Stop Loss indicator is a strategic tool for traders designed to be useful in both rigorous backtesting and live testing, by providing an objective, “guess-free” stop loss level. This indicator dynamically plots suggested stop loss levels based on market structure, and the concepts of “interim lows/highs.”
It provides a robust framework for managing risk in both long and short positions. By leveraging historical price movements and real time market dynamics, this indicator helps traders identify quantitatively consistent risk levels while optimizing trade returns.
Legend
This indicator utilizes various inputs to customize its functionality, including "Stop Loss Sensitivity" and "Wick Depth," which dictate how closely the stop loss levels hug the price's highs and lows. The stop loss levels are plotted as lines on the trading chart, providing clear visual cues for position management. As seen in the chart below, this indicator dynamically plots stop loss levels for both long and short positions at every point in time.
A “Stop Loss Table” is also included, in order to enhance precision trading and increase backtesting accuracy. It is customizable in both size and positioning.
Case Study
Methodology
The methodology behind this indicator focuses on the precision placement of stop losses using market structure as a guide. It calculates stop losses by identifying the "lowest close" and the corresponding "lowest low" for long setups, and inversely for short setups. By adjusting the sensitivity settings, traders can tweak the indicator's responsiveness to price changes, ensuring that the stop losses are set with a balance between tight risk control and enough room to avoid premature exits due to market noise. The indicator's ability to adapt to different trading styles and time frames makes it an essential tool for traders aiming for efficiency and effectiveness in their risk management strategies.
An important point to make is the fact that the stop loss levels are always placed within the wicks. This is important to avoid what can be described as a “floating stop loss”. A stop loss placed outside of a wick is susceptible to an outsized degree of slippage. This is because traders always cluster their stop losses at high/low wicks, and a stop loss placed outside of this level will inevitably be caught in a low liquidity cascade or “wash-out.” When price approaches a cluster of stop losses, it is highly probable that you will be stopped out anyway, so it is prudent to attempt to be the trader who gets stopped out first in order to avoid high slippage, and losses above what you originally intended.
// For long positions: stop-loss is slightly inside the lowest wick
float dynamic_SL_Long = lowestClose - (lowestClose - lowestLow) * (1 - WickDepth)
// For short positions: stop-loss is slightly inside the highest wick
float dynamic_SL_Short = highestClose + (highestHigh - highestClose) * (1 - WickDepth)
The percentage depth of the wick in which the stop loss is placed is customisable with the “Wick Depth” variable, in order to customize stop loss strategies around the liquidity of the market a trader is executing their orders in.
Pivot Channel Breaks [BigBeluga]Pivot Channel Break
The Pivot Channel Break indicator identifies key pivot points and creates a dynamic channel based on these pivots. It detects breakouts from this channel, providing potential entry and exit signals for traders.
🔵 How to Use
Channel Identification:
- Upper and lower channel lines drawn based on pivot highs and lows
- Channel width dynamically adjusted using ATR-like calculation
Breakout Signals:
- Upward breakout: Price closes above upper channel line
- Downward breakout: Price closes below lower channel line
- Signals shown as X marks on the chart
Pivot Points:
- High pivots marked with "H" triangles
- Low pivots marked with "L" triangles
Support & Resistance:
- Optional signals when price touches but doesn't break channel lines
Trend Visualization:
- Optional bar coloring based on the most recent breakout direction
🔵 Customization
• Pivot Right: Lookback period for pivot detection (default: 10)
• Pivot Left: Forward period for pivot confirmation (default: 40)
• Channel Width: Multiplier for channel width calculation (default: 1.0)
• Support & Resistance Signals: Toggle additional touch signals
• Bar Color: Enable/disable trend-based bar coloring
Calculation:
Detect pivot highs and lows using specified lookback periods
Calculate channel basis using 10-period SMA of close prices
Determine channel width using ATR-like calculation: RMA(high - low, 10) * width multiplier
Set channel lines based on pivot points and calculated deviations
Identify breakouts when price crosses beyond channel lines
The Pivot Channel Break indicator offers a dynamic approach to identifying potential trend changes and breakout opportunities. It combines pivot point analysis with a flexible channel calculation, providing traders with a visual tool for market structure analysis. Use this indicator in conjunction with other technical analysis methods to confirm signals and manage risk effectively.
MultiTFlevels with Volume Display1. Overview
This indicator is intended for use on trading platforms like TradingView and provides the following features:
Volume Profile Analysis:
Shows cumulative volume delta (CVD) and displays buying and selling volumes.
Historical OHLC Levels:
Plots historical open, high, low, and close levels for various timeframes (e.g., daily, weekly, monthly).
Customizable Settings:
Allows users to toggle different elements and customize display options.
2. Inputs
Timeframe Display Toggles:
Users can choose to display OHLC levels from different timeframes such as previous month, week, day, 4H, 1H, 30M, 15M, and 5M.
CVD Display Toggle: Option to show or hide the Cumulative Volume Delta (CVD).
Line and Label Customization:
leftOffset and rightOffset: Define how far lines are extended left and right from the current bar.
colorMonth, colorWeek, etc.: Customize colors for different timeframe OHLC levels.
labelOffset and rightOffset: Control the positioning of volume labels.
3. Key Features
Cumulative Volume Delta (CVD)
Calculation:
Computes the cumulative volume delta by adding or subtracting the volume based on whether the close price is higher or lower than the open price.
Display:
Shows a label on the chart indicating the current CVD value and whether the market is leaning towards buying or selling.
Historical OHLC Levels
Data Retrieval:
Uses the request.security function to fetch OHLC data from different timeframes (e.g., monthly, weekly, daily).
Plotting:
Draws lines and labels on the chart to represent open, high, low, and close levels for each selected timeframe.
Buying and Selling Volumes
Calculation:
Calculates buying and selling volumes based on whether the close price is higher or lower than the open price.
Display:
Shows labels on the chart for buying and selling volumes.
4. Functions
getOHLC(timeframe)
Retrieves open, high, low, and close values from the specified timeframe.
plotOHLC(show, open, high, low, close, col, prefix)
Draws OHLC lines and labels on the chart for the given timeframe and color.
5. Usage
Chart Overlay: The indicator is overlaid on the main chart (i.e., it appears directly on the price chart).
Historical Analysis:
Useful for analyzing historical price levels and volume dynamics across different timeframes.
Volume Insights:
Helps traders understand the cumulative volume behavior and market sentiment through the CVD and volume labels.
In essence, this indicator provides a comprehensive view of historical price levels across multiple timeframes and the dynamics of market volume through CVD and volume labels. It can be particularly useful for traders looking to combine price action with volume analysis for a more in-depth market assessment.
VWAP with RSIVWAP with RSI Indicator
Overview
The VWAP with RSI Indicator is a powerful tool that combines the Volume Weighted Average Price (VWAP) with the Relative Strength Index (RSI) to provide traders with comprehensive insights into price trends, volume-weighted price levels, and market momentum. This dual-indicator setup enhances your trading strategy by offering a clearer understanding of the market conditions, potential entry and exit points, and trend reversals.
Key Features
VWAP (Volume Weighted Average Price):
Calculation: The VWAP is calculated using the high, low, and close prices, weighted by trading volume over a specified period.
Purpose: VWAP provides an average price that reflects the trading volume at different price levels, helping traders identify the true average price over a given period.
Visualization: The VWAP line is plotted in blue on the price chart, indicating the volume-weighted average price.
RSI (Relative Strength Index):
Calculation: RSI is based on the average gains and losses over a specified period (default is 14 periods) and ranges from 0 to 100.
Purpose: RSI measures the speed and change of price movements, identifying overbought or oversold conditions in the market.
Overbought/Oversold Levels:
Overbought: RSI above 70 (red line).
Oversold: RSI below 30 (green line).
Midline: RSI at 50 (gray dashed line).
Visualization: The RSI line changes color based on its value (purple for normal, red for overbought, green for oversold) and is plotted below the price chart.
Background Fill for RSI:
Overbought Area: Shaded red when RSI is above 70.
Oversold Area: Shaded green when RSI is below 30.
Bullish and Bearish Divergence Detection:
Bullish Divergence: Occurs when price forms a lower low, but RSI forms a higher low, indicating potential upward reversal.
Visualization: Bullish divergence points are marked with a green line and labeled "Bull."
Bearish Divergence: Occurs when price forms a higher high, but RSI forms a lower high, indicating potential downward reversal.
Visualization: Bearish divergence points are marked with a red line and labeled "Bear."
Alerts: Conditions for bullish and bearish divergences trigger alerts.
Settings
VWAP Settings:
hideonDWM: Option to hide VWAP on daily or higher timeframes.
src: Source for VWAP calculation (default is hlc3 - (high + low + close)/3).
offset: Offset for plotting the VWAP.
RSI Settings:
rsiLengthInput: Period length for RSI calculation (default is 14).
rsiSourceInput: Source for RSI calculation (default is close price).
maTypeInput: Type of moving average applied to RSI (options: SMA, EMA).
maLengthInput: Length of the moving average applied to RSI.
How to Use
Trend Identification: Use VWAP to identify the average price level and market trend. If the price is above VWAP, it suggests an uptrend, and if below, it suggests a downtrend.
Overbought/Oversold Conditions: Use RSI to identify potential reversal points. RSI above 70 indicates overbought conditions, and below 30 indicates oversold conditions.
Divergence: Look for bullish or bearish divergences between price and RSI to anticipate potential trend reversals.
Conclusion
By combining VWAP and RSI, this indicator provides a robust framework for analyzing market conditions, identifying trends, and making more informed trading decisions. Enhance your trading strategy today with the VWAP with RSI Indicator!
MTF Regime Filter II [CHE]Regime Filter II - Comprehensive Guide
Introduction
The "Regime Filter II " indicator is a tool designed to help traders identify market trends by smoothing price data and applying a color scheme to visualize bullish and bearish conditions. This guide provides a detailed explanation of the script's functionality, benefits, and how to use it effectively in TradingView.
Key Benefits
1. Trend Identification: Smooths price data to highlight underlying trends, making it easier for traders to spot potential buying or selling opportunities.
2. Visual Clarity: Uses distinct color schemes to differentiate between bullish and bearish market conditions, enhancing visual analysis.
3. Customization: Offers various settings to adjust smoothing and averaging lengths, choose between different color schemes, and set visibility for different timeframes.
4. Neutral Candle Option: Provides an option to display neutral candles for clearer visual representation when market conditions are neither strongly bullish nor bearish.
5. Timeframe Adaptability: Includes functions to determine appropriate step sizes based on different timeframes, ensuring the indicator remains accurate across various trading periods.
Script Breakdown
1. Indicator Declaration
The script starts by declaring itself as a TradingView indicator using the latest version of Pine Script. This sets up the framework for the indicator's functionality.
2. User Inputs for Smoothing and Averaging Lengths
The script allows users to input specific lengths for smoothing and averaging intervals. These inputs are crucial for determining how the price data is processed to identify trends. By adjusting these lengths, users can fine-tune the sensitivity of the indicator to market movements.
3. Color Scheme Selection
Users can choose between two color schemes: "Traditional" and "WT1 0 Rule". The selected color scheme will determine how the indicator colors the candles to represent bullish and bearish conditions. This customization enhances the visual appeal and usability of the indicator according to personal preferences.
4. Settings for Timeframe Visibility
The script includes settings that allow users to specify which timeframes the indicator should be visible on. This feature helps traders focus on the most relevant timeframes for their trading strategies. Additionally, users can set the number of recent candles to display, providing a clear view of the most recent market trends.
5. Color Definitions
The indicator defines specific colors for bearish and bullish candles. Bearish candles are colored red, while bullish candles are green. These color definitions are applied based on the selected color scheme and the calculated trend, providing a quick visual reference for market conditions.
6. Time Constants
To manage different timeframes effectively, the script uses constants that represent various time intervals in milliseconds, such as minutes, hours, and days. These constants are used to convert timeframes into a format that the script can work with to determine the appropriate step size for calculations.
7. Step Size Determination
The script includes a function that determines the step size based on the selected timeframe. This function ensures that the indicator adapts to different timeframes, maintaining its accuracy and relevance across various trading periods. The step size is calculated based on time intervals, and appropriate labels (like "60", "240", "1D") are assigned.
- For timeframes less than or equal to 1 minute, the step size is set to "60".
- For timeframes less than or equal to 5 minutes, the step size is set to "240".
- For timeframes less than or equal to 1 hour, the step size is set to "1D" (daily).
- For timeframes less than or equal to 4 hours, the step size is set to "3D" (three days).
- For timeframes less than or equal to 12 hours, the step size is set to "7D" (weekly).
- For timeframes less than or equal to 1 day, the step size is set to "1M" (monthly).
- For timeframes less than or equal to 1 week, the step size is set to "3M" (three months).
- For all other timeframes, the step size is set to "12M" (yearly).
8. Trend Calculation
The core of the indicator is its ability to calculate market trends. Here's a detailed breakdown of how the `calculateTrend` function works:
- Initialization: Variables for the middle price and scale, and summations of high/low prices and ranges, are initialized.
- Summation Loop: A loop runs over the smoothing length to calculate the sum of high and low prices and their range.
- Middle and Scale Calculation: The middle price is determined as the average of high/low sums, and the scale is calculated as a fraction of the average range.
- Normalization: The high, low, and close prices are normalized based on the middle price and scale.
- HT Calculation: The normalized prices are smoothed using a simple moving average (SMA).
- Frequency and Exponential Calculations: The frequency and related constants (a, c1, c2, c3) are calculated for further smoothing.
- Smoothed Moving Average (SMA): A smoothed moving average is computed using the HT values and exponential constants.
- WT1 and WT2 Calculation: The final smoothed values (WT1) and their average (WT2) are derived.
9. Color Application Based on Trend
Once the trend is calculated, the script applies the appropriate color to the candles based on the selected color scheme. This function ensures that the visual representation of the trend is consistent with the user’s preferences.
10. Label Plotting for Timeframes
If the option to display timeframe labels is enabled, the script plots labels on the chart to indicate the current timeframe. This feature helps users quickly identify which timeframe they are analyzing.
11. Shape Plotting Based on Trend and Color Scheme
The indicator plots shapes (squares) on the chart based on the calculated trend and selected color scheme. These shapes provide an additional visual cue for market conditions, enhancing the overall clarity of the indicator.
12. Neutral Candle Color Option
The script includes an option to set the color of neutral candles when market conditions are neither strongly bullish nor bearish. This option helps traders better visualize periods of market indecision.
Summary
The "Regime Filter II " is a powerful and customizable tool for traders, offering clear visual cues for market trends and adaptability to various timeframes. By smoothing price data and applying intuitive color schemes, it helps traders make more informed decisions. With features like adjustable smoothing lengths, multiple color schemes, and optional neutral candle displays, this indicator enhances market analysis and trading strategy development. By following this comprehensive guide, traders can effectively utilize the "Regime Filter II " indicator to enhance their market analysis and make more informed trading decisions.
Best regards
Advanced Gold Scalping Strategy with RSI Divergence# Advanced Gold Scalping Strategy with RSI Divergence
## Overview
This Pine Script implements an advanced scalping strategy for gold (XAUUSD) trading, primarily designed for the 1-minute timeframe. The strategy utilizes the Relative Strength Index (RSI) indicator along with its moving average to identify potential trade setups based on divergences between price action and RSI movements.
## Key Components
### 1. RSI Calculation
- Uses a customizable RSI length (default: 60)
- Allows selection of the source for RSI calculation (default: close price)
### 2. Moving Average of RSI
- Supports multiple MA types: SMA, EMA, SMMA (RMA), WMA, VWMA, and Bollinger Bands
- Customizable MA length (default: 3)
- Option to display Bollinger Bands with adjustable standard deviation multiplier
### 3. Divergence Detection
- Implements both bullish and bearish divergence identification
- Uses pivot high and pivot low points to detect divergences
- Allows for customization of lookback periods and range for divergence detection
### 4. Entry Conditions
- Long Entry: Bullish divergence when RSI is below 40
- Short Entry: Bearish divergence when RSI is above 60
### 5. Trade Management
- Stop Loss: Customizable, default set to 11 pips
- Take Profit: Customizable, default set to 33 pips
### 6. Visualization
- Plots RSI line and its moving average
- Displays horizontal lines at 30, 50, and 70 RSI levels
- Shows Bollinger Bands when selected
- Highlights divergences with "Bull" and "Bear" labels on the chart
## Input Parameters
- RSI Length: Adjusts the period for RSI calculation
- RSI Source: Selects the price source for RSI (close, open, high, low, hl2, hlc3, ohlc4)
- MA Type: Chooses the type of moving average applied to RSI
- MA Length: Sets the period for the moving average
- BB StdDev: Adjusts the standard deviation multiplier for Bollinger Bands
- Show Divergence: Toggles the display of divergence labels
- Stop Loss: Sets the stop loss distance in pips
- Take Profit: Sets the take profit distance in pips
## Strategy Logic
1. **RSI Calculation**:
- Computes RSI using the specified length and source
- Calculates the chosen type of moving average on the RSI
2. **Divergence Detection**:
- Identifies pivot points in both price and RSI
- Checks for higher lows in RSI with lower lows in price (bullish divergence)
- Checks for lower highs in RSI with higher highs in price (bearish divergence)
3. **Trade Entry**:
- Enters a long position when a bullish divergence is detected and RSI is below 40
- Enters a short position when a bearish divergence is detected and RSI is above 60
4. **Position Management**:
- Places a stop loss order at the entry price ± stop loss pips (depending on the direction)
- Sets a take profit order at the entry price ± take profit pips (depending on the direction)
5. **Visualization**:
- Plots the RSI and its moving average
- Draws horizontal lines for overbought/oversold levels
- Displays Bollinger Bands if selected
- Shows divergence labels on the chart for identified setups
## Usage Instructions
1. Apply the script to a 1-minute XAUUSD (Gold) chart in TradingView
2. Adjust the input parameters as needed:
- Increase RSI Length for less frequent but potentially more reliable signals
- Modify MA Type and Length to change the sensitivity of the RSI moving average
- Adjust Stop Loss and Take Profit levels based on current market volatility
3. Monitor the chart for Bull (long) and Bear (short) labels indicating potential trade setups
4. Use in conjunction with other analysis and risk management techniques
## Considerations
- This strategy is designed for short-term scalping and may not be suitable for all market conditions
- Always backtest and forward test the strategy before using it with real capital
- The effectiveness of divergence-based strategies can vary depending on market trends and volatility
- Consider using additional confirmation signals or filters to improve the strategy's performance
Remember to adapt the strategy parameters to your risk tolerance and trading style, and always practice proper risk management.
Moving average to price cloudHi all!
This indicator shows when the price crosses the defined moving average. It plots a green or red cloud (depending on trend) and the moving average. It also plots an arrow when the trend changes (this can be disabled in 'style'->'labels' in the settings).
The moving average itself can be used as dynamic support/resistance. The trend will change based on your settings (described below). By default the trend will change when the whole bar is above/below the moving average for 2 bars (that's closed). This can be changed by "Source" and "Bars".
Settings
• Length (choose the length of the moving average. Defaults to 21)
• Type (choose what type of moving average).
- "SMA" (Simple Moving Average)
- "EMA" (Exponential Moving Average)
- "HMA" (Hull Moving Average)
- "WMA" (Weighted Moving Average)
- "VWMA" (Volume Weighted Moving Average)
- "DEMA" (Double Exponential Moving Average)
Defaults to"EMA".
• Source (Define the price source that must be above/below the moving average for the trend to change. Defaults to 'High/low (passive)')
- 'Open' The open of the bar has to cross the moving average
- 'Close' The close of the bar has to cross the moving average
- 'High/low (passive)' In a down trend: the low of the bar has to cross the moving average
- 'High/low (aggressive)' In a down trend: the high of the bar has to cross the moving average
• Source bar must be close. Defaults to 'true'.
• Bars (Define the number bars whose value (defined in 'Source') must be above/below the moving average. All the bars (defined by this number) must be above/below the moving average for the trend to change. Defaults to 2.)
Let me know if you have any questions.
Best of trading luck!
CPR LinesThe "CPR Lines" script, written in Pine Script version 5, is designed for use in the TradingView platform to help traders visualize Central Pivot Range (CPR) levels on their price charts. This script calculates and plots three essential pivot levels based on the prior trading day's high, low, and close prices, providing traders with key reference points for potential support and resistance levels in the current trading session.
Key Features:
Prior Day's Data Calculation:
The script retrieves the high, low, and close prices of the previous trading day using the request.security function. These values are crucial for calculating the CPR levels.
Central Pivot Line (CPL):
The CPL is calculated as the average of the prior day's high, low, and close prices. It serves as the primary pivot point around which the price action is likely to revolve.
Bottom Central Pivot (BCP):
The BCP is calculated as the average of the prior day's high and low prices. This level often acts as a support line in a bullish trend.
Top Central Pivot (TCP):
The TCP is derived by adding the difference between CPL and BCP to the CPL itself. This level can serve as a resistance line in a bearish trend.
Plotting the CPR Levels:
The script plots the CPL, BCP, and TCP on the chart with distinct black lines for easy identification. Each line is labeled accordingly and plotted with a linewidth of 2 for better visibility.
This script aids traders by providing visual cues for key price levels, enhancing their ability to make informed trading decisions based on historical price movements. By incorporating these pivot points, traders can better predict potential price reactions and plan their trades accordingly.
EM Visible Range Volume Profile█ OVERVIEW
ᴇᴍ VRVP (Visible Range Volume Profile) indicator calculates the volume profile within the visible range of prices.
Volume Profile is an advanced technical analysis indicator that shows trading activity over a specified period of time at certain price levels.
The indicator plots a histogram on the chart that reflects dominant or significant price levels based that are based on volume.
VP concept
VP Components
Open, High, Low, Close:
There are different types of volume profile indicators but the majority of them will designate the OHLC.
Point of Control:
A price level with the most traded volume during one session, also known as POC.
High Volume Node (HVN):
Area of high volume relative to surrounding price action.
Low Volume Node (LVN):
Area of low volume relative to surrounding price action.
Analysis of price in relation to high and low volume nodes is useful when building context around your trades.
█ VOLUME PROFILE STRATEGIES
The distribution of a volume profile can help you determine the strength of a trend and spot potential reversal zones. Let’s take a look at the five different distribution types.
Neutral D
In order for price to break away from value, either the buyers or the sellers will have to become more aggressive than the other side. When this occurs, it gives us with a vital piece of information.
Now we know who were the agressors at this price level: either the buyers or the sellers. That's why this is a good level for a trading setup if the price bounces back.
Bearish P and Bullish P
Bearish P — reversal. Bullish P — confirmation.
Bearish Ь and Bullish Ь
Bearish Ь — confirmation. Bullish Ь — reversal.
Examples
█ INPUTS
Width — amplitude of the VP histogram.
Grid — the number of columns of the VP histogram.
Delta of volumes — combinatorial determination of the ratios of sellers and buyers.
In quoted units — conversion in units of quoted currency.
Logarithmic scale — recalculation the grid step to the logarithmic scale of the chart.
HTF — (Higher Timeframe) calculation of VP for the period of the selected timeframe. ISO: Isolated computation in HTF period.
Palette: Total volume, Volume of buyers, Volume of sellers, HTF bars.
Warnings: colour of the «⚠» icon, language of information in the Tooltip.
Addition: ᴇᴍ CHN-RMA — a grid of moving averages with periods of centered hexagonal numbers.
█ ОБЩИЕ СВЕДЕНИЯ
ᴇᴍ VRVP (Visible Range Volume Profile) рассчитывает профиль объёма в видимом диапазоне цен.
Профиль объёма — это продвинутый индикатор технического анализа, который показывает торговую активность за условленный период времени на определённых ценовых уровнях.
Индикатор строит на графике гистограмму, отражающую доминирующие или значимые ценовые уровни, основанные на объёме.
█ НАСТРОЙКИ
Ширина — амплитуда гистограммы VP.
Сетка — количество колонок гистограммы VP.
Дельта объёмов — комбинаторное определение соотношений продаж и покупок.
В котируемых единицах — пересчёт в единицах котируемой валюты.
Логарифмическая шкала — пересчёт шага сетки на логарифмическую шкалу графика.
HTF — (Higher Timeframe) расчёт VP за период выбранного таймфрейма. ISO: Изолированное вычисление в HTF-периоде.
Палитра: Суммарный объём, Объём покупок, Объём продаж, Бары HTF.
Предупреждения: цвет значка «⚠», язык информации в Tooltip.
Дополнение: ᴇᴍ CHN-RMA — сетка скользящих средних с периодами центрированных гексагональных чисел.
Garman-Klass-Yang-Zhang Volatility EstimatorThe Garman-Klass-Yang-Zhang Volatility Estimator (GKYZVE) is yet another attempt to robustly measure volatility, integrating intra-candle and inter-candle dynamics. It is an extension of the Garman-Klass Volatility Estimator (GKVE) incorporating insights from the Yang-Zhang Volatility Estimator (YZVE) . Like the YZVE, the GKYZVE holistically considers open, high, low, and close prices. The formula for GKYZ is:
GKYZVE = 0.5 * σ_HL² + * σ_CC² + σ_OC²
Where:
σ_HL² is the variance based on the high and low prices (σ_HL² = (high - low)² / (4 * math.log(2))), weighted at 0.5.
σ_CC² is the close-to-close variance (σ_CC² = (close - close)²), weighted at (2 ln 2) -1 for the logarithmic distribution of returns and emphasizing the impact of day-to-day price changes.
σ_OC² is the variance of the opening price against the closing price (σ_OC² = 0.5 * (open - close)²), weighted at 1.
The GKYZVE differs from the YZVE by using fixed weighing factors derived from theoretical calculations, leaning heavier into the assumption that returns are log-distributed.
This script also offers a choice for normalization between 0 and 1, turning the estimator into an oscillator for comparing current volatility to recent levels. Horizontal lines at user-defined levels are also available for clearer visualization. Both options are off by default.
References:
Garman, M. B., & Klass, M. J. (1980). On the estimation of security price volatilities from historical data. The Journal of Business, 53(1), 67-78.
Yang, D., & Zhang, Q. (2000). Drift-independent volatility estimation based on high, low, open, and close prices. The Journal of Business, 73(3), 477-492.
Volatility Estimator - YZ & RSThe Yang-Zheng Volatility Estimator (YZVE) integrates both intra-candle and inter-candle dynamics, such as overnight and weekend price changes, offering a more detailed analysis compared to traditional methods. The YZVE is proposed to improve over the standard deviation by accounting for the open, high, low, and close prices of trading periods, instead of only the close prices, and attempts to supplant the Parkinson's Volatility Estimator (PVE) by a also capturing inter-candle dynamics. The YZVE is calculated by this formula:
YZ Volatility Squared σ_YZ² = k * σ_o² + σ_rs² + (1 - k) * σ_c²
where k is a weighting factor that adjusts the emphasis between the overnight and close-to-close components, popularly estimated as:
k = 0.34 / (1.34 + (N+1) / (N-1))
where N is the lookback period. Optionally, users may opt to override this calculation with a specified constant (off by default). Next, the
Overnight Volatility Squared σ_o² = (log(O_t / C_(t-1)))²
measures the volatility associated with overnight price changes, from the previous candle's closing price C_(t-1) to the current candle's opening price O_t. It captures the market's reaction to news and events that occur outside of regular trading hours to reflect risk associated with holding positions over non-trading hours and gaps.
Next, the The Rogers-Satchell Volatility Estimator (RSVE) serves as an intermediary step in the computation of YZVE. It aggregates the logarithmic ratios between high, low, open, and close prices within each trading period, focusing on intra-candle volatility without assuming zero inter-candle drift as commonly implicitly assumed in other volatility models:
Rogers-Satchell Volatility Squared σ_rs² = (log(H_t / C_t) * log(H_t / O_t)) + (log(L_t / C_t) * log(L_t / O_t))
Finally,
Close-to-Close Volatility Squared σ_c² = (log(C_t / C_(t-1)))²
measures the volatility from the close of one candle to the close of the next. It reflects the typical candle volatility, similar to naive standard deviation.
This script also includes an option for users to apply the simpler RS Volatility exclusively, focusing on intraday price movements. Additionally, it offers a choice for normalization between 0 and 1, turning the estimator into an oscillator for comparing current volatility to recent levels. Horizontal lines at user-defined levels are also available for clearer visualization. Both are off by default.
References:
Yang, D., & Zhang, Q. (2000). Drift-independent volatility estimation based on high, low, open, and close prices. The Journal of Business, 73(3), 477-491.
Rogers, L.C.G., & Satchell, S.E. (1991). Estimating variance from high, low and closing prices. Annals of Applied Probability, 1(4), 504-512.
MTF BB+KC Avg
Bollinger Bands (BB) are a widely used technical analysis created by John Bollinger in the early 1980’s. Bollinger Bands consist of a band of three lines which are plotted in relation to instrument prices. The line in the middle is usually a Simple Moving Average (SMA) set to a period of 20 days (The type of trend line and period can be changed by the trader; however a 20 day moving average is by far the most popular). This indicator does not plot the middle line. The Upper and Lower Bands are used as a way to measure volatility by observing the relationship between the Bands and price. Typically the Upper and Lower Bands are set to two standard deviations away from the middle line, however the number of standard deviations can also be adjusted in the indicator.
Keltner Channels (KC) are banded lines similar to Bollinger Bands and Moving Average Envelopes. They consist of an Upper Envelope above a Middle Line (not plotted in this indicator) as well as a Lower Envelope below the Middle Line. The Middle Line is a moving average of price over a user-defined time period. Either a simple moving average or an exponential moving average are typically used. The Upper and Lower Envelopes are set a (user-defined multiple) of a range away from the Middle Line. This can be a multiple of the daily high/low range, or more commonly a multiple of the Average True Range.
This indicator is built on AVERAGING the BB and KC values for each bar, so you have an efficient metric of AVERAGE volatility. The indicator visualizes changes in volatility which is of course dynamic.
What to look for
High/Low Prices
One thing that must be understood about this indicator's plots is that it averages by adding BB levels to KC levels and dividing by 2. So the plots provide a relative definition of high and low from two very popular indicators. Prices are almost always within the upper and lower bands. Therefore, when prices move up near the upper or lower bands or even break through the band, many traders would see that price action as OVER-EXTENDED (either overbought or oversold, as applicable). This would preset a possible selling or buying opportunity.
Cycling Between Expansion and Contraction
Volatility can generally be seen as a cycle. Typically periods of time with low volatility and steady or sideways prices (known as contraction) are followed by period of expansion. Expansion is a period of time characterized by high volatility and moving prices. Periods of expansion are then generally followed by periods of contraction. It is a cycle in which traders can be better prepared to navigate by using Bollinger Bands because of the indicators ability to monitor ever changing volatility.
Walking the Bands
Of course, just like with any indicator, there are exceptions to every rule and plenty of examples where what is expected to happen, does not happen. Previously, it was mentioned that price breaking above the Upper Band or breaking below the Lower band could signify a selling or buying opportunity respectively. However this is not always the case. “Walking the Bands” can occur in either a strong uptrend or a strong downtrend.
During a strong uptrend, there may be repeated instances of price touching or breaking through the Upper Band. Each time that this occurs, it is not a sell signal, it is a result of the overall strength of the move. Likewise during a strong downtrend there may be repeated instances of price touching or breaking through the Lower Band. Each time that this occurs, it is not a buy signal, it is a result of the overall strength of the move.
Keep in mind that instances of “Walking the Bands” will only occur in strong, defined uptrends or downtrends.
Inputs
TimeFrame
You can select any timeframe froom 1 minute to 12 months for the bar measured.
Length of the internal moving averages
You can select the period of time to be used in calculating the moving averages which create the base for the Upper and Lower Bands. 20 days is the default.
Basis MA Type
Determines the type of Moving Average that is applied to the basis plot line. Default is SMA and you can select EMA.
Source
Determines what data from each bar will be used in calculations. Close is the default.
StdDev/Multiplier
The number of Standard Deviations (for BB) or Multiplier (for KC) away from the moving averages that the Upper and Lower Bands should be. 2 is the default value for each indicator.
Realized volatility differentialAbout
This is a simple indicator that takes into account two types of realized volatility: Close-Close and High-Low (the latter is more useful for intraday trading).
The output of the indicator is two values / plots:
an average of High-Low volatility minus Close-Close volatility (10day period is used as a default)
the current value of the indicator
When the current value is:
lower / below the average, then it means that High-Low volatility should increase.
higher / above then obviously the opposite is true.
How to use it
It might be used as a timing tool for mean reversion strategies = when your primary strategy says a market is in mean reversion mode, you could use it as a signal for opening a position.
For example: let's say a security is in uptrend and approaching an important level (important to you).
If the current value is:
above the average, a short position can be opened, as High-Low volatility should decrease;
below the average, a trend should continue.
Intended securities
Futures contracts
Ouside Bar First high/low DetectorIndicator wenting to the lower time frame(if compare with current chart time frame) and seek what happened first, the low of previouse bar was updated first or the high of previouse bar.
In some trading strategies need to know exactly sequence of actions for outside bars to program the logic for testing on deep history.
If first was updated the high of previouse bar indicator will draw green diamond above the outside bar. If first was updated the low of previouse bar then indicator will draw red diamon below the ouside bar.
In cases where both side diamonds is plotted it meant the current Lower time frame resolution is not enough to clear figure out what was first Low of High, need choose lower resolution.
I did not found ready to use examples and made my own.
I hope it will be usefull for you.
Best Regards.
Custom Swing Index [AstroHub]Custom Swing Index - Unleashing Precision in Trend Analysis
🌟 Overview:
The Custom Swing Index is a meticulously crafted tool that empowers traders with advanced insights into market dynamics, specifically focusing on identifying potential trend reversals. Developed by AstroHub, this indicator stands out for its unique combination of price-related calculations, ratios, and averages, providing a comprehensive and nuanced view of market sentiment.
📈 Key Components:
Price Calculation:
- Price Change: Captures the difference between the current and previous closing prices.
- High and Low Points: Analyzes the high and low points of each bar for crucial price movement data.
Ratios and Averages:
- Upper-Lower Shadow Ratio: Measures the relationship between the upper and lower shadows.
- Open-Close Ratio: Evaluates the ratio of opening to closing prices.
- Sum Price Changes: Sums up price changes over a specified period.
Differences and Shadows:
- Open-Close Difference: Considers the difference between opening and closing prices.
- Upper and Lower Shadow Ratios: Examines the proportions of upper and lower shadows.
Bar Size Metrics:
- Average Bar Size: Determines the average size of each bar.
- High-Low Difference: Measures the difference between the high and low points.
Swing Indicator Calculation:
- The Custom Swing Index is the result of combining these components, creating a dynamic metric that reflects potential trend reversals.
🚥 How to Use:
Understanding the Indicator:
- Bullish signals may be indicated when the swing index surpasses a defined threshold.
- Bearish signals may be indicated when the swing index falls below the negative threshold.
Visual Interpretation:
- Color-coded bars enhance visual interpretation, turning green for bullish conditions and red for bearish conditions.
Entry Points:
- Look for entry points where circle markings are present, indicating potential opportunities.
Alerts:
- Integrated alerts keep traders informed of significant swings, ensuring timely decision-making.
HL range by durgaThe script we've been working on is an indicator designed to display the high-low range of the last candlestick on a TradingView chart. It does so by plotting two lines: one for the high and another for the low of the last completed candlestick.
Additionally, the script includes a label that shows the numerical value of the high-low range. This label is positioned between the plotted lines, showing the difference between the high and low prices of the last candlestick.
The script operates in real-time, updating dynamically as new candlesticks form. Furthermore, it automatically removes the label after the close of the candlestick, maintaining a clean and clutter-free chart.
This indicator can help traders quickly visualize and assess the range of the last completed candlestick, aiding in their analysis of price action.
AllTimeHighLowLibrary "AllTimeHighLow"
Provides functions calculating the all-time high/low of values.
hi(val)
Calculates the all-time high of a series.
Parameters:
val (float) : Series to use (`high` is used if no argument is supplied).
Returns: The all-time high for the series.
lo(val)
Calculates the all-time low of a series.
Parameters:
val (float) : Series to use (`low` is used if no argument is supplied).
Returns: The all-time low for the series.
Hosoda Waves ABCThe Hosoda Waves indicator was devised by Goichi Hosoda, the creator of the Ichimoku system, with the idea that previous highs and lows could determine future price ranges to which the market would react. Hosoda's projections include the NT, N, V, and E waves, derived from calculations based on both upward and downward ABC swings. The calculations for Hosoda's waves are as follows:
NT Wave = C + (C - A)
N Wave = B + (B - A)
V Wave = B + (B - C)
E Wave = C + (B - A)
This indicator visually represents the calculations by Hosoda. Additionally, Hosoda indicated time cycles: 9, 17, 26, 33, 42, 51, 65, 76, etc., which are not integrated into this indicator as they are not considered effective in contemporary times.
Once applied to the chart, the interactive Pine Script tool version 5 will prompt you to identify 3 points of "low-high-low" or "high-low-high," both for upward and downward movements. Once clicked, these price points can be moved. If you change the time frame or market instrument, the indicator must be removed because it remains tied to the prices where it was initially drawn.
Time-itTime-it = Time based indicator
The Time-it indicator parses data by the day of week. Every tradeable instrument has its own personality. Some are more volatile on Mondays, and some are more bullish / bearish on Fridays or any day in between. The key metrics Time-it parses is range, open, high, low, close and +volume-.
The Time-it parsed data is printed in a table format. The table, position, size & color and text color & size can be changed to your preference. Each column parsed data is the last 10 which is numbered 0-9 which refers to the number of the selected day bars ago. For example: if Monday is chosen, 0 is the last closed Monday bar and 9 is the last closed Monday 9 Monday bars ago.
Range = measures the range between high and low for the day.
Open = is the opening price for the day.
High = is the high price for the day.
Low = is the low price for the day.
Close = is the closing price for the day.
+volume- = is the positive or negative volume for the day.
Default settings:
*Represents a how to use tooltip*
Source = ohlc4
* The source used for MA
MA length = 20
* The moving average used
Day bar color on / off
* checked on / unchecked off
Monday = blue
Tuesday = yellow
Wednesday = purple
Thursday = orange
Friday = white
Saturday = red
Sunday = green
Day M, T, W, TH, F, ST, SN.
* Parsed data for the day of week tables
Table, position, size & color:
Top, middle, bottom, left, center, right
* Table position on the chart.
Frame width & border width = 1
Text color and text size
Border color and frame color
Decimal place = 0
* example: use 0 for a round number, use 4 for Forex
*** The Time-it indicator uses parts and/or pieces of code from "Tradingview Up/Down Volume" and "Tradingview Financials on Chart".
rezgaaLibrary "rezgaa"
Provides functions calculating the all-time high/low of values.
hi(val)
Calculates the all-time high of a series.
Parameters:
val (float) : Series to use (`high` is used if no argument is supplied).
Returns: The all-time high for the series.
lo(val)
Calculates the all-time low of a series.
Parameters:
val (float) : Series to use (`low` is used if no argument is supplied).
Returns: The all-time low for the series.
[TTI] Closing Range Indicator📜 ––––HISTORY & CREDITS––––
This Pine Script Utility indicator, titled " Closing Range Indicator," is designed and developed by TintinTrading but inspired by the teaching of Investor's Business Daily (IBD) and William O'Neil. It aims to help traders identify the closing range of a given timeframe, either daily or weekly.
🦄 –––UNIQUENESS–––
The unique feature of this indicator lies in its ability to simulate a functionality of Closing Range calculation based on hovering of the mouse over the close. It employs a conditional display that allows the user to set the indicator as 'invisible' without removing it from the chart and hence provides a numerical closing range value when hovering over the indicator.
🛠️ ––––WHAT IT DOES––––
The Closing Range Indicator calculates the closing range of a trading bar in terms of percentages. It computes the difference between the closing price and the low price of the bar, and then divides it by the range of the bar.
A stock that closes on the high would display 100%
A stock that closes on the low would display 0%
Generally, the higher the percentage the more bullish the close but there are exceptions to this rule.
The indicator can operate on two timeframes:
Daily : Computes the closing range based on the daily high, low, and closing prices.
Weekly : Computes the closing range based on the weekly high, low, and closing prices. If you enable the weekly it will show the weekly close on all daily timeframes. Meaning that if the week Closing range is 54.15% on Friday, it will show the value 54.15% for all days prior to Friday from the same week.
The indicator places a label at the close of each bar, with the label's tooltip showing the calculated closing range percentage. I generally hide the label and just reference the tooltip calculation with a a hoover on top of the bar.
💡 ––––HOW TO USE IT––––
Installation: Add the indicator to your TradingView chart by searching for " Closing Range Indicator" in the indicator library.
Reorder: Reorder the indicator so that it sits as the first indicator (even above the price) on the Pane. This will make sure that you always trigger the tooltip functionality.
Go to Settings:
Timeframe: Choose between daily ('D') and weekly ('W') timeframes from the settings.
Visibility: Enable the 'Make Invisible' option if you want the indicator to be hidden.
Interpretation:
A higher percentage indicates that the closing price is closer to the high of the range, signaling bullish sentiment.
A lower percentage indicates bearish sentiment.
Tooltip: Hover over the label to view the closing range in percentage terms.
