zone trading stratThis only works for DOGEUSD , I made it for the 8cap chart so only use it for that.
If you want this for other symbols/charts you need to comment below or msg me.
# Price Zone Trading System: Technical Explanation
## Core Concept
The Price Zone Tracker is built on the concept that price tends to respect certain key levels or "zones" on the chart. These zones act as support and resistance areas where price may bounce or break through. The system combines zone analysis with multiple technical indicators to generate high-probability trading signals.
## Zone Analysis
The system tracks 9 predefined price zones. Each zone has both a high and low boundary, except for Zone 5 which is represented by a single line. When price enters a zone, the system monitors whether it stays within the zone, breaks above it (bullish), or breaks below it (bearish).
This zone behavior establishes the foundational bias of the system:
- When price closes above its previous zone: Zone State = Bullish
- When price closes below its previous zone: Zone State = Bearish
- When price remains within a zone: Zone State = Neutral
## Trend Analysis Components
The system performs multi-timeframe analysis using several technical components:
1. **Higher Timeframe Analysis** (±3 points in scoring)
- Uses 15-minute charts for sub-5-minute timeframes
- Uses 30-minute charts for 5-minute timeframes
- Uses 60-minute charts for timeframes above 5 minutes
- Evaluates candlestick patterns and EMA crossovers on the higher timeframe
2. **EMA Direction** (±1 point in scoring)
- Compares 12-period and 26-period EMAs
- Bullish when fast EMA > slow EMA
- Bearish when fast EMA < slow EMA
3. **MACD Analysis** (±1 point in scoring)
- Uses standard 12/26/9 MACD settings
- Bullish when MACD line crosses above signal line with positive histogram
- Bearish when MACD line crosses below signal line with negative histogram
4. **Price Action** (±2 points in scoring)
- Evaluates whether price is making higher highs/higher lows (uptrend)
- Or lower highs/lower lows (downtrend)
- Also considers ATR-based volatility and strength of movements
## Trend Score Calculation
All these components are weighted and combined into a trend score:
- Higher timeframe components have stronger weights (±2-3 points)
- Current timeframe components have moderate weights (±1 point)
- Price action components have varied weights (±0.5-2 points)
The final trend state is determined by thresholds:
- Score > +3: Trend Analysis State = Bullish
- Score < -3: Trend Analysis State = Bearish
- Score between -3 and +3: Trend Analysis State = Neutral
## Signal Generation Logic
The system combines the Zone State with the Trend Analysis State:
1. If Zone State and Trend Analysis State are both bullish:
- Combined State = Bullish
- Line Color = Green
2. If Zone State and Trend Analysis State are both bearish:
- Combined State = Bearish
- Line Color = Red
3. If Zone State and Trend Analysis State contradict each other:
- Combined State = Neutral
- Line Color = Black
This implements a safety mechanism requiring both zone analysis and technical indicators to agree before generating a directional signal.
## Trading Signals
Trading signals are generated based on changes in the Combined State:
- When Combined State changes from neutral/bearish to bullish:
- Trading Signal = LONG (green triangle appears on chart)
- When Combined State changes from neutral/bullish to bearish:
- Trading Signal = SHORT (red triangle appears on chart)
- When Combined State changes from bullish/bearish to neutral:
- Trading Signal = EXIT (yellow X appears on chart)
- When Combined State remains unchanged:
- Trading Signal = NONE (no new marker appears)
## Reversal Warning
The system also monitors for potential reversal conditions:
- When Combined State is bullish but both RSI and MFI are overbought (>70)
- When Combined State is bearish but both RSI and MFI are oversold (<30)
In these cases, a yellow diamond appears on the chart as a warning that a reversal might be imminent.
## Visual Elements
The indicator provides multiple visual elements:
1. Zone boundaries as translucent orange areas
2. A single colored line below price (green/red/black) showing the current signal
3. Trading signals as shapes on the chart
4. An information panel showing all relevant indicator values and signals
## Usage Limitations
The indicator is designed to work optimally on timeframes below 30 minutes. On higher timeframes, a warning appears and analysis is disabled.
ابحث في النصوص البرمجية عن "key levels"
TJR SEEK AND DESTROYTJR SEEK AND DESTROY – Intraday ICT Trading Tool
Built for day traders, TJR SEEK AND DESTROY combines Smart Money concepts like order blocks, fair value gaps, and liquidity sweeps with structure breaks and daily bias to pinpoint high-probability trades during US market hours (9:30–16:00). Ideal for scalping or intraday strategies on stocks, futures, or forex.
What Makes It Unique?
Unlike standalone ICT indicators, this script integrates:
Order Blocks with volume and range filters for precise support/resistance zones.
Fair Value Gaps (FVG) to spot pre-market price imbalances.
Break of Structure (BOS) and Liquidity Sweeps for trend and reversal signals.
A 1H MA-based Bias to align trades with the day’s direction.
BUY/SELL Labels triggered only when bias, BOS, and sweeps align, reducing noise.
How Does It Work?
Order Blocks: Marks zones with high volume (>1.5x 20-period SMA) and low range (<0.5x ATR20) as teal boxes—potential reversal points.
Fair Value Gap: Compares the prior day’s close to the current open (pre- or post-9:30), shown as a purple line and label (e.g., "FVG: 0.005").
Pivot Point: Calculates (prevHigh + prevLow + prevClose) / 3 from the prior day, plotted as an orange line for equilibrium.
Break of Structure: Detects crossovers of 5-bar highs/lows (gray lines), marked with red triangles.
Liquidity Sweeps: Tracks breaches of the prior day’s high/low (yellow lines), marked with yellow triangles.
Daily Bias: Uses 1H close vs. 20-period MA (blue line) for bullish (green background), bearish (red), or neutral (gray) context.
Signals: BUY (green label) when bias is bullish, price breaks up, and sweeps the prior high; SELL (red label) when bias is bearish, price breaks down, and sweeps the prior low.
How to Use It
Setup: Apply to 1M–15M charts for US session trading (9:30–16:00 EST).
Trading:
Wait for a BUY label after a yellow sweep triangle above the prior day’s high in a green (bullish) background.
Wait for a SELL label after a yellow sweep triangle below the prior day’s low in a red (bearish) background.
Use order blocks (teal boxes) as support/resistance for stop-loss or take-profit.
Markets: Best for SPY, ES futures, or forex pairs with US session volatility.
Underlying Concepts
Order Blocks: High-volume, low-range bars suggest institutional activity.
FVG: Gaps between close and open indicate imbalance to be filled.
BOS & Sweeps: Price breaking key levels signals momentum or stop-hunting.
Bias: 1H MA filters trades by broader trend.
Chart Setup
Displays order blocks (teal boxes), pivot (orange), open (purple), bias (colored background), BOS/sweeps (triangles), and signals (labels). Keep other indicators off for clarity.
Quarterly Theory ICT 02 [TradingFinder] True Open Session 90 Min🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system built on ICT (Inner Circle Trader) concepts and fractal time. It divides time into four quarters (Q1, Q2, Q3, Q4), and is designed based on the consistent repetition of these phases across all trading timeframes (annual, monthly, weekly, daily, and even shorter trading sessions).
Each cycle consists of four distinct phases: the first phase (Q1) is the Accumulation phase, characterized by price consolidation; the second phase (Q2), known as Manipulation or Judas Swing, is marked by initial false movements indicating a potential shift; the third phase (Q3) is Distribution, where price volatility peaks; and the fourth phase (Q4) is Continuation/Reversal, determining whether the previous trend continues or reverses.
🔵 How to Use
The central concept of this strategy is the "True Open," which refers to the actual starting point of each time cycle. The True Open is typically defined at the beginning of the second phase (Q2) of each cycle. Prices trading above or below the True Open serve as a benchmark for predicting the market's potential direction and guiding trading decisions.
The practical application of the Quarterly Theory strategy relies on accurately identifying True Open points across various timeframes.
True Open points are defined as follows :
Yearly Cycle :
Q1: January, February, March
Q2: April, May, June (True Open: April Monthly Open)
Q3: July, August, September
Q4: October, November, December
Monthly Cycle :
Q1: First Monday of the month
Q2: Second Monday of the month (True Open: Daily Candle Open price on the second Monday)
Q3: Third Monday of the month
Q4: Fourth Monday of the month
Weekly Cycle :
Q1: Monday
Q2: Tuesday (True Open: Daily Candle Open Price on Tuesday)
Q3: Wednesday
Q4: Thursday
Daily Cycle :
Q1: 18:00 - 00:00 (Asian session)
Q2: 00:00 - 06:00 (True Open: Start of London Session)
Q3: 06:00 - 12:00 (NY AM)
Q4: 12:00 - 18:00 (NY PM)
90 Min Asian Session :
Q1: 18:00 - 19:30
Q2: 19:30 - 21:00 (True Open at 19:30)
Q3: 21:00 - 22:30
Q4: 22:30 - 00:00
90 Min London Session :
Q1: 00:00 - 01:30
Q2: 01:30 - 03:00 (True Open at 01:30)
Q3: 03:00 - 04:30
Q4: 04:30 - 06:00
90 Min New York AM Session :
Q1: 06:00 - 07:30
Q2: 07:30 - 09:00 (True Open at 07:30)
Q3: 09:00 - 10:30
Q4: 10:30 - 12:00
90 Min New York PM Session :
Q1: 12:00 - 13:30
Q2: 13:30 - 15:00 (True Open at 13:30)
Q3: 15:00 - 16:30
Q4: 16:30 - 18:00
Micro Cycle (22.5-Minute Quarters) : Each 90-minute quarter is further divided into four 22.5-minute sub-segments (Micro Sessions).
True Opens in these sessions are defined as follows :
Asian Micro Session :
True Session Open : 19:30 - 19:52:30
London Micro Session :
T rue Session Open : 01:30 - 01:52:30
New York AM Micro Session :
True Session Open : 07:30 - 07:52:30
New York PM Micro Session :
True Session Open : 13:30 - 13:52:30
By accurately identifying these True Open points across various timeframes, traders can effectively forecast the market direction, analyze price movements in detail, and optimize their trading positions. Prices trading above or below these key levels serve as critical benchmarks for determining market direction and making informed trading decisions.
🔵 Setting
Show True Range : Enable or disable the display of the True Range on the chart, including the option to customize the color.
Extend True Range Line : Choose how to extend the True Range line on the chart, with the following options:
None: No line extension
Right: Extend the line to the right
Left: Extend the line to the left
Both: Extend the line in both directions (left and right)
Show Table : Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info : Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
The Quarterly Theory ICT, by dividing time into four distinct quarters (Q1, Q2, Q3, and Q4) and emphasizing the concept of the True Open, provides a structured and repeatable framework for analyzing price action across multiple time frames.
The consistent repetition of phases—Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal—allows traders to effectively identify recurring price patterns and critical market turning points. Utilizing the True Open as a benchmark, traders can more accurately determine potential directional bias, optimize trade entries and exits, and manage risk effectively.
By incorporating principles of ICT (Inner Circle Trader) and fractal time, this strategy enhances market forecasting accuracy across annual, monthly, weekly, daily, and shorter trading sessions. This systematic approach helps traders gain deeper insight into market structure and confidently execute informed trading decisions.
Grids lines"Líneas de Grid para Análisis Técnico"
Este indicador dibuja líneas de grid (rejilla) en el gráfico de precios, lo que puede ayudar a visualizar zonas de soporte, resistencia y niveles de interés en un rango de precios determinado.
Características:
Precio Mínimo y Máximo: Configura los precios entre los cuales se dibujarán las líneas de grid.
Número de Grids: Establece cuántas líneas de grid quieres ver en el gráfico.
Color y Grosor de las Líneas: Personaliza los colores y el grosor de las líneas de grid, incluyendo la primera y la última línea.
Estilo de las Líneas: Puedes elegir entre líneas discontinuas (Dotted) o sólidas (Solid), para personalizar aún más tu visualización.
Ticker Específico: Si lo deseas, puedes elegir un ticker específico para dibujar las líneas solo cuando el gráfico esté mostrando ese activo. De lo contrario, las líneas se dibujarán en el gráfico actual.
Parámetros:
Precio Mínimo: El precio más bajo para el rango del grid (por ejemplo: 0.82).
Precio Máximo: El precio más alto para el rango del grid (por ejemplo: 1.24).
Número de Grids: Define cuántas líneas quieres entre el precio mínimo y el máximo (por ejemplo: 30).
Estilo de Línea: Elige entre Dotted (líneas discontinuas) o Solid (líneas sólidas).
Ticker: Si deseas dibujar las líneas solo para un ticker específico, ingresa el símbolo del ticker (por ejemplo, ADAUSDT). Si dejas este campo vacío, las líneas se dibujarán en el gráfico actual.
Ejemplo de Uso:
Si estás analizando el par ADAUSDT, puedes escribir ADAUSDT en el campo del ticker para que las líneas solo se dibujen cuando este par esté visible. Si dejas el campo vacío, las líneas se dibujarán en cualquier ticker que tengas en el gráfico.
Descripción en Inglés:
"Grid Lines for Technical Analysis"
This indicator draws grid lines on the price chart, helping to visualize support, resistance, and key levels within a specific price range.
Features:
Min and Max Price: Set the price range for the grid lines to be drawn.
Number of Grids: Choose how many grid lines you want to display on the chart.
Line Color and Thickness: Customize the color and thickness of the grid lines, including the first and last line.
Line Style: Choose between Dotted (dashed lines) or Solid (solid lines) to further customize your view.
Specific Ticker: If desired, you can specify a ticker for the grid lines to only be drawn when that asset is shown. Otherwise, the lines will be drawn on the current chart.
Parameters:
Min Price: The lowest price for the grid range (for example, 0.82).
Max Price: The highest price for the grid range (for example, 1.24).
Number of Grids: Defines how many lines you want between the minimum and maximum price (for example, 30).
Line Style: Choose between Dotted or Solid.
Ticker: To draw the lines only for a specific ticker, enter the symbol of the ticker (for example, ADAUSDT). If left blank, the lines will be drawn on the current ticker.
Usage Example:
If you're analyzing the pair ADAUSDT, you can enter ADAUSDT in the ticker field to draw the lines only when that pair is visible. If you leave the field blank, the lines will be drawn for any ticker currently on the chart.
EUR/USD vs USD/CHF SpreadA typical Pine Script for spread trading would include:
Fetching Data: Getting the real-time price of EUR/USD and USD/CHF.
Calculating the Synthetic EUR/CHF Price: Since EUR/USD * USD/CHF ≈ EUR/CHF, we use this relation to analyze deviations.
Computing the Spread: Taking the difference between EUR/USD and the synthetic EUR/CHF price.
Z-Score Normalization: Measuring how far the spread deviates from the mean (Mean Reversion).
Overlay and Visuals: Plotting the spread and key levels to visualize trading signals.
Month Separator
Month Separator Indicator
This Pine Script indicator separates each month on the chart by visually marking the change between months.
Features:
The indicator detects when the month changes.
It highlights the background with a semi-transparent blue color to differentiate the months.
A small red triangle is plotted at the top of the chart at the beginning of each new month, providing a clear visual cue.
Customization:
You can easily adjust the colors or styles in the script by modifying the bgcolor and plotshape functions.
The indicator works on all timeframes, but it is especially useful on higher timeframes (like daily or weekly charts) to track monthly transitions.
This script is ideal for traders who want a clear visual representation of month boundaries to analyze trends and key levels more effectively.
VWMACD-MFI-OBV Composite# MACD-MFI-OBV Composite
A dynamic volume-based technical indicator combining Volume-Weighted MACD, Money Flow Index (MFI), and normalized On Balance Volume (OBV). This composite indicator excels at identifying breakouts and strong trend movements through multiple volume confirmations, making it particularly effective for momentum and high-volatility trading environments.
## Overview
The indicator integrates trend, momentum, and cumulative volume analysis into a unified visualization system. Each component is carefully normalized to enable direct comparison, while the background color system provides instant trend recognition. This version is specifically optimized for breakout detection and strong trend confirmation.
## Core Components
### Volume-Weighted MACD
Visualized through the background color system, this enhanced MACD implementation uses Volume-Weighted Moving Averages (VWMA) instead of traditional EMAs. This modification ensures greater sensitivity to volume-supported price movements while filtering out less significant low-volume price changes. The background alternates between green (bullish) and red (bearish) to provide immediate trend feedback.
### Money Flow Index (MFI)
Displayed as the purple line, the MFI functions as a volume-weighted momentum oscillator. Operating within a natural 0-100 range, it helps identify potential overbought and oversold conditions while confirming volume support for price movements. The MFI is particularly effective at validating breakout momentum.
### Normalized On Balance Volume (OBV)
The white line represents normalized OBV, providing insight into cumulative buying and selling pressure. The normalization process scales OBV to match other components while maintaining its ability to confirm price trends through volume analysis. This component excels at identifying strong breakout movements and volume surges.
## Signal Integration
The indicator generates its most powerful signals when all three components align, particularly during breakout conditions:
Strong Bullish Signals develop when:
- Background shifts to green (VWMACD bullish)
- MFI shows strong upward momentum
- OBV demonstrates sharp volume accumulation
Strong Bearish Signals emerge when:
- Background turns red (VWMACD bearish)
- MFI exhibits downward momentum
- OBV shows significant volume distribution
## Market Application
This indicator variant is specifically designed for:
Breakout Trading:
The OBV component provides excellent sensitivity to volume surges, making it ideal for breakout confirmation and momentum validation.
Trend Following:
Sharp OBV movements combined with MFI momentum help identify and confirm strong trending conditions.
High Volatility Markets:
The indicator's design excels in active, volatile markets where clear signal generation is crucial for decision-making.
## Technical Implementation
Default Parameters:
Volume-Weighted MACD maintains traditional periods (12/26/9) while leveraging volume weighting. MFI uses standard 14-period calculation with 80/20 overbought/oversold thresholds. All components undergo normalization over a 100-period lookback for stable comparison.
Visual Elements:
- Background: VWMACD trend indication (green/red)
- Purple Line: Money Flow Index
- White Line: Normalized OBV
- Yellow Line: Combined signal (arithmetic mean of normalized components)
- Reference Lines: Key levels at 20, 50, and 80
## Trading Methodology
The indicator supports a systematic approach to breakout and momentum trading:
1. Breakout Identification
Monitor for background color changes accompanied by significant OBV movement, indicating potential breakout conditions.
2. Volume Surge Confirmation
Examine OBV slope and magnitude to confirm genuine breakout scenarios versus false moves.
3. Momentum Validation
Use MFI to confirm breakout strength and identify potential exhaustion points.
4. Combined Signal Analysis
The yellow line provides a unified view of all components, helping identify high-probability breakout opportunities.
## Interpretation Guidelines
Breakout Confirmation:
Strong breakouts typically show alignment of all three components with notable OBV surge. This configuration often precedes significant price movements.
Trend Strength:
Continuous OBV expansion during trends, supported by steady MFI readings, suggests sustained momentum.
## Market Selection
Optimal Markets Include:
- High-beta growth stocks
- Momentum-driven securities
- Stocks with significant volatility
- Active trading instruments
- Examples: TSLA, NVDA, growth stocks
## Version Information
Current Version: 2.0.0
This indicator represents a specialized adaptation of volume-based analysis, optimized for breakout trading and momentum strategies in high-volatility environments.
FVG Detector (Gholam version)The Fair Value Gap (FVG) Detector is a powerful tool designed to identify and highlight potential imbalance areas in the market. Fair Value Gaps, also known as "FVG" or "Liquidity Gaps," are price ranges where there has been little or no trading activity. These gaps can often act as key levels of support or resistance and may represent areas where price is likely to return to for a fill, providing potential trading opportunities.
This indicator automatically scans and marks these gaps on the chart, helping traders quickly spot areas of interest for potential reversals or continuation patterns.
GP - SRSI ChannelGP - SRSI Channel Indicator
The GP - SRSI Channel is a channel indicator derived from the Stochastic RSI (SRSI) oscillator. It combines SRSI data from multiple timeframes to analyze minimum, maximum, and closing values, forming a channel based on these calculations. The goal is to identify overbought and oversold zones with color coding and highlight potential trading opportunities by indicating trend reversal points.
How It Works
SRSI Calculation: The indicator calculates the Stochastic RSI values using open, high, low, and close prices from the selected timeframes.
Channel Creation: Minimum and maximum values derived from these calculations are combined across multiple timeframes. The midpoint is calculated as the average of these values.
Color Coding: Zones within the channel are color-coded with a gradient from red to green based on the ratios. Green zones typically indicate selling opportunities, while red zones suggest buying opportunities.
Visual Elements:
The channel boundaries (min/max) are displayed as lines.
Overbought/oversold regions (95-100 and 0-5) are highlighted with shaded areas.
Additional explanatory labels are placed on key levels to guide users.
How to Use
Trading Strategy: This indicator can be used for both trend following and identifying reversal points. Selling opportunities can be evaluated when the channel reaches the upper green zone, while buying opportunities can be considered in the lower red zone.
Timeframe Selection: Users can analyze multiple timeframes simultaneously to gain a broader perspective.
Customization: RSI and Stochastic RSI parameters are adjustable, allowing users to tailor the indicator to their trading strategies.
Important Note
This indicator is for informational purposes only and should not be used as a sole basis for trading decisions. Please validate the results of the indicator with your own analysis.
BTC ETF Flow Trading SignalsTracks large money flows (500M+) across major Bitcoin ETFs (IBIT, BTCO, FBTC, ARKB, BITB)
Generates long/short signals based on institutional money movement
Shows flow trends and strength of movements
This script provides a foundation for comparing ETF inflows and Bitcoin price. The effectiveness of the analysis depends on the quality of the data and your interpretation of the results. Key levels of 500M and 350M Inflow/Outflow Enjoy
Collaboration with Vivid Vibrations
Enjoy & improve!
AnyTimeAndPrice
This indicator allows users to input a specific start time and display the price of a lower timeframe on a higher timeframe chart. It offers customization options for:
- Display name
- Label color
- Line extension
By adding multiple instances of the AnyTimeframeTimeAndPrice indicator, each customized for different times and prices, you can create a powerful and flexible tool for analyzing market data. Here's a potential setup:
1. Instance 1:
- Time: 08:23
- Price: Open
- Display Name: "8:23 Open"
- Label Color: Green
2. Instance 2:
- Time: 12:47
- Price: High
- Display Name: "12:47 High"
- Label Color: Red
3. Instance 3:
- Time: 15:19
- Price: Low
- Display Name: "3:19 Low"
- Label Color: Blue
4. Instance 4:
- Time: 16:53
- Price: Close
- Display Name: "4:53 Close"
- Label Color: Yellow
By having multiple instances, you can:
- Track different times and prices on the same chart
- Customize the display names, label colors, and line extensions for each instance
- Easily compare and analyze the relationships between different times and prices
This setup can be particularly useful for:
- Identifying key levels and support/resistance areas
- Analyzing market trends and patterns
- Making more informed trading decisions
Inputs:
1. AnyStartHour: Integer input for the start hour (default: 09, range: 0-23)
2. AnyStartMinute: Integer input for the start minute (default: 30, range: 0-59)
3. Sourcename: String input for the display name (default: "Open", options: "Open", "Close", "High", "Low")
4. Src_col: Color input for the label color (default: aqua)
5. linetimeExtMulti: Integer input for the line time extension (default: 1, range: 1-5)
Calculations:
1. AnyinputStartTime: Timestamp for the input start time
2. inputhour and inputminute: Hour and minute components of the input start time
3. formattedAnyTime: Formatted string for the input start time (HH:mm)
4. currenttime: Current timestamp
5. currenthour and currentminute: Hour and minute components of the current time
6. formattedTime: Formatted string for the current time (HH:mm)
7. onTime and okTime: Boolean flags for checking if the current time matches the input start time or is within the session
8. firstbartime: Timestamp for the first bar of the session
9. dailyminutesfromSource: Calculation for the daily minutes from the source
10. anyminSrcArray: Request security lower timeframe array for the source
11. ltf (lower timeframe): Integer variable for tracking the lower timeframe
12. Sourcevalue: Float variable for storing the source value
13. linetimeExt: Integer variable for line extension (calculated from linetimeExtMulti)
Logic:
1. Check if the current time matches the input start time or is within the session
2. If true, plot a line and label with the source value and formatted time
3. If not, check if the current time is within the daily session and plot a line and label accordingly
Notes:
- The script uses request.security_lower_tf to request data from a lower timeframe
- The script uses line.new and label.new to plot lines and labels on the chart
- The script uses str.format_time to format timestamps as strings (HH:mm)
- The script uses xloc.bar_time to position lines and labels at the bar time
This script allows users to input a specific start time and display the price of a lower timeframe on a higher timeframe chart, with options for customizing the display name, label color, and line extension.
Pivot Point Profile [LuxAlgo]The Pivot Point Profile indicator groups and displays data accumulated from previous pivot points, providing a comprehensive method for prioritizing and displaying areas of interest directly given by swing highs and lows.
Users have access to common settings present in other profile-type indicators.
🔶 USAGE
The Pivot Point Profile is particularly helpful in identifying highly active reversal zones that have been visited multiple times by price. Because of this, we could generally expect these areas to serve as future points of interest, often acting as support or resistance when re-visited.
The profile displays data associated with both Pivot Highs and Pivot Lows. Each row consists of pivot high and pivot low counts side-by-side, forming the total width of the row.
By analyzing the row as a whole, we can gain a better understanding of WHERE to look for interactions.
By analyzing the pivot counts independently, we can gain a better understanding of WHAT to expect when returning to these areas.
For example:
If a row in the profile contains entirely Pivot Lows, this could be seen as an indication to look for buyers to hold that level for a continuation upwards. A break of this level could be interpreted as a lack of interest from previous buyers at this level, indicating a further move down.
🔹 Concentrated Areas
Each row in the profile displays the current count of high pivots and low pivots within the selected lookback. The largest count for each pivot direction is identified as a "Concentrated Area (CA)", these CAs are highlighted over the chart with a line displaying the average of all pivots within that CA. The CA Average is the average of all pivot points (in the majority direction) within the given row.
These can hold more importance as potential support/resistance areas.
Note: The CA Threshold can be manually adjusted to highlight all rows based on a user-selected value.
🔶 DETAILS
🔹 Calculation
The idea behind the Pivot Point Profile is a new analysis method for pivot points, taking the idea of a volume profile and adapting it to display pivot points instead of volume. By using this data, in theory, we should be able to better prioritize zones to anticipate reversals, as well as identify key levels to watch for buyer & seller interactions to use as confirmations in direction.
The (vertical) width of each row is the product of the script's "Row Size", this is the number of rows that the profile will consist of. With a max of 250, the profile can be decently granular. That being said, A more granular profile will have fewer overlapping pivot points. By decreasing the row size (Using fewer rows in the profile) you will increase the tolerance for grouping pivot points. Potentially leading to a more comprehensive Profile. Inversely, By reducing the tolerance for grouping, you will better visualize only similar highs and lows but may have noisier data to sift through.
The Profile is calculated based on a "Lookback" parameter, using only the lookback amount of previous high and low pivots to calculate the profile. Configuring this parameter alongside "Pivot Length", will allow for great control over the frame of reference of the profile.
Note: This indicator is capable of utilizing the full chart history of pivot points, this can be done by enabling the "Use Full Chart History" setting, this will cause the script will calculate from everything it has access to on your current chart.
🔹 Display
The Pivot Point Profile display can be customized to fit a various range of chart styles and visual needs. The specific settings to adjust these can be located in the "Profile Display" Section of the User Inputs.
Profile Width: Sets the Left to Right Width of the Profile. This is the maximum width that the profile will occupy and will scale to fit within this width.
Profile Offset: Sets the distance of the Profile's Axis from the current chart candle. This moves the entire profile left and right to enable to user to set the distance between the profile and the current candle.
Direction: Changes the display direction of the profile, allowing for "Left", "Right", or "Center" display styles.
🔶 SETTINGS
🔹 Pivot Point Parameters
Pivot Type: Choose between "Fractal Pivots" or "SMC Structure" to use as the basis for pivots.
Length: Sets the length for the pivot calculations.
🔹 Profile Calculations Parameters
Lookback: Sets the number of pivots to calculate within, in increments of high and low pairs. (Setting this to 1 = 1 Pivot High & 1 Pivot Low)
Use Full Chart History: Disregards the set lookback and instead uses all available chart data to calculate from.
Row Size: Sets the total number of rows to calculate the profile with.
🔹 Profile Display
Profile Width: Sets the max left & right width (in bars) that the profile will occupy.
Profile Offset: Sets the distance of the profile axis from the last chart bar.
Direction: Sets the display direction
🔹 Concentrated Areas
Highlight CAs: Extends the rows left from concentrated areas.
CA Threshold: Manually set the threshold for determining concentrated areas, when disabled, only the largest rows will be displayed.
CA Averages: Toggles the concentrated area averages for each pivot direction.
Note: CA Averages can be displayed independently without CA Highlights being displayed, and vice versa.
Propulsion Blocks | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Propulsion Blocks indicator! This new indicator can find & render ICT's propulsion blocks in the current ticker. It's highly customizable with detection, invalidation and style settings. For more information, please visit the "HOW DOES IT WORK ?" section.
Features of the new Propulsion Blocks indicator :
Render Bullish & Bearish Propulsion Blocks
Customizable Algorithm
Enable / Disable Historic Zones
Visual Customizability
📌 HOW DOES IT WORK ?
Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific formations on the chart. One of which this indicator uses requires a large engulfing candlestick right after another one of the opposite direction. Then if the price comes back to retest the area that two candlesticks create, then it's an order block pattern.
Propulsion blocks are a specific type of order block used in the trading methodology. They build on the concept of order blocks and aim to identify potential areas for strong price movements. They are detected when a candlestick wicks to any existing order block, retesting it. Then a strong momentum in the direction of the order block is needed for the propulsion block to get created. Check this example :
You can use them as entry / exit points, or for confirmations for your trades. For example, a successful retest attempt to a bullish propulsion block might hint a strong bullish momentum. This indicator works best when used together with other ICT concepts.
🚩UNIQUENESS
Propulsion blocks can help traders identify key levels in a chart, and can be used mainly for confirmation. This indicator can identify and show them automatically in your chart, and provides customization settings for order & propulsion block detection and invalidation. Another capability of the indicator is that it combines overlapping order & propulsion blocks so you will have a clean look at the chart without any overlapping zones.
⚙️SETTINGS
1. General Configuration
Show Historic Zones -> This setting will hide invalidated propulsion blocks if enabled.
Max Distance To Last Bar -> This setting defines the maximum range that the indicator will find propulsion blocks to the past. Higher options will make older zones visible.
Zone Invalidation -> Select between Wick & Close price for Order Block & Propulsion Block Invalidation.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
Moving Average Dispersion Index w/ Z-Score (Adjusted MADI-Z)Overview
The Adjusted MADI-Z indicator is a custom indicator that looks to decipher trends and consolidations based on the clustering and dispersion of Moving Averages. It calculates a z-score based on the dispersion of various exponentially weighted moving averages to identify trends and consolidation. The z-score is then adjusted using a logistic function to map it between 0-100.
How can it be used?
- Identify trends and consolidation - Values above 80 indicate a strong trend while values below 20 show consolidation
- Gauge trend strength - Higher positive values suggest a stronger uptrend while lower negative values indicate a stronger downtrend
- Generate trading signals - Crossovers of key levels can act as entry/exit triggers
- Smooth noise in price action - The adjusted z-score filters out market noise
Default Values
- ma5_len = 5
- ma10_len = 10
- ma50_len = 50
- ma200_len = 200
- lookback_period = 100
Strategies
The Adjusted MADI-Z can be used for trend-following strategies across various timeframes. Specific strategies include:
- Trend trading - Enter long on crossover above 80, exit on crossover below 80. Reverse for short trades.
- Range trading - Enter short on crossover below 20, exit on crossover above 20. Reverse for long trades.
- Identifying pullbacks - Temporary moves below 80 during uptrends and above 20 during downtrends can act as retracement entry points.
Rationale
By adjusting the z-score output of the standard MADI using a logistic function, the indicator becomes bounded and easier to interpret for trading purposes. The customized moving average lengths also allow tuning the indicator to particular assets and timeframes.
Interpretation
- Above 80 - Strong uptrend
- 70 to 80 - Moderate uptrend
- 50 to 70 - Weak uptrend
- 30 to 50 - Range-bound consolidation
- 20 to 30 - Weak downtrend
- Below 20 - Strong downtrend
Values below 15 or above 85 represent extremes outside two standard deviations.
3x MTF MACD v3.0MACD's on 3 different Time Frames
Indicator Information
- Each Time Frame shows start of Trend and end of trend of the MACD vs the Signal Cross
- They are labled 1,2,3 with respective up or down triangle for possible direction.
User Inputs
- configure the indicator by specifying various inputs. These inputs include colors for bullish
and bearish conditions, the time frame to use, whether to show a Simple Moving Average
(SMA) line, and other parameters.
- Users can choose time frames for analysis (like 30 minutes, 1 hour, etc.)
but they must be in mintues.
- The code also allows users to customize how the indicator looks on the chart by providing
options for position and color.
Main Calculations
- The script calculates the Simple Moving Average (SMA) based on the user-defined time
frame.
- It then determines the color of the plot (line) based on certain conditions, such as whether
the SMA is rising or falling. These conditions help users quickly identify market trends.
Label Creation
- The code creates labels that can be displayed on the chart.
These labels indicate whether there's a bullish or bearish signal.
Level Detection
- The script determines and labels key levels or points of interest in the chart based on
certain conditions.
- It can show labels like "①" and "▲" for bullish conditions and "▼" for bearish conditions.
Table Display
- There's an option to show a table on the chart that displays information about the MACD
indicator Chosen and the NUmber Bubble assocated with that time frame
- The table can include information like which time frame is being analyzed, whether the SMA
line is shown, and other relevant data.
Plotting on the Chart
- The script plots the Simple Moving Average (SMA) on the chart. The color of this line
changes based on the calculated trend conditions.
ATR (Average True Range)
- The script also plots the Average True Range (ATR) on the chart. ATR is used to measure
market volatility.
"In essence, this script is a highly customizable MACD and SMA indicator for traders. It assists traders in comprehending market trends, offering insights into different MACD cycles concerning various timeframes.
Users can configure it to match their trading strategies, and it presents information in a user-friendly manner with colors, labels, and tables.
This simplifies market analysis, allowing traders to make more informed decisions without the distraction of multiple indicators."
HILOCLOP AnalysisThe "HILOCLOP Analysis" indicator is designed to analyze price data based on different conditions and provide insights into market trends and patterns. Let's break down its features and understand its potential usefulness in trading:
Sample Length: The indicator allows the user to specify the sample length, which determines the number of bars or periods considered for the analysis. This parameter can be adjusted to capture short-term or long-term trends and patterns in the market.
Raw Up/Down Analysis: The indicator calculates the number of occurrences where the current price values (high, low, open, close) are higher or lower than their previous values. It provides separate counts for each price component. By visualizing these counts on the chart, traders can identify periods of upward or downward movement in the price data.
HICLOP Analysis: The indicator offers a color scheme option called "HICLOP," which determines the color of the plotted results. If the HICLOP analysis is enabled, the plots representing raw up/down counts will have different colors based on whether the current count is higher or lower than the previous count. This color coding helps traders quickly identify changes in price trends.
Unchecking this Box will Show the general trend.
Raw HICLOP Color Scheme
Trend Color Scheme
Analysis Up vs. Down: The indicator provides an option to analyze instances where all four price components (high, low, open, close) are higher or lower than their respective previous values. This analysis helps traders identify periods of strong upward or downward movement in the market.
Analysis High vs. Low: The indicator compares the number of occurrences where the current high is higher than the previous high and the current low is higher than the previous low. It provides insights into whether the market is experiencing higher highs or higher lows, which can help traders determine the strength of an upward or downward trend.
Analysis Open vs. Close: The indicator compares the number of occurrences where the current close is higher than the previous close and the current open is higher than the previous open. This analysis helps traders assess the relationship between opening and closing prices, providing insights into the strength of buying or selling pressure in the market.
The usefulness of the "HILOCLOP Analysis" indicator in trading depends on the specific trading strategy and the trader's preferences. Here are a few potential use cases:
Trend Identification: By analyzing the raw up/down counts and the HICLOP color scheme, traders can identify trends and changes in price momentum. Increasing raw up counts and corresponding color changes to positive values may indicate an upward trend, while increasing raw down counts and negative color changes may suggest a downward trend.
Confirmation of Breakouts: Traders often look for confirmation of breakouts from key levels or chart patterns. The "Analysis Up V Dn" feature can help identify instances where all four price components simultaneously confirm a breakout, indicating a potentially significant move in the market.
Trend Reversals: The "Analysis High V Low" and "Analysis Open V Close" features can provide insights into potential trend reversals. For example, if there are more higher highs than higher lows, it may indicate a weakening trend, potentially signaling a reversal or a correction.
