Higher Timeframe TrendMap [BigBeluga]🔵HTF TrendMap
A powerful visual overlay that brings higher timeframe market structure directly onto your intraday chart.
This tool maps directional bias, trend strength, and dynamic range boundaries from a user-selected HTF (like Daily or 4H), offering a real-time confluence layer for scalpers, day traders, and swing traders.
By plotting the evolving average (HL2), it acts as a volatility-weighted trend anchor, allowing you to align lower timeframe entries with higher timeframe intent.
Technical Overview:
At the close of each higher timeframe (HTF) candle, the indicator stores the high, low, and calculates the HL2 midpoint. These values are then referenced on the lower timeframe chart to plot trend direction and price boundaries.
🔵 KEY FEATURES
Maps the selected higher timeframe (HTF) (e.g., Daily) onto your current chart.
At the close of each HTF candle , it starts to calculate and store the highest, lowest, and average (HL2) price levels .
The average (HL2) value is treated as the HTF trend baseline —plotted in orange for uptrend , blue for downtrend .
Visual curve thickens and fades to show progress through the HTF period (stronger color = fresher data).
Horizontal dashed lines show HTF high and low levels that persist until the next period closes.
On every HTF close, two price labels are printed for the high and low levels.
Vertical separators visually mark the start of each HTF candle for easy structural recognition.
A real-time dashboard shows selected HTF, current trend direction (🢁/🢃), and updates dynamically.
🔵 HOW TO USE
Use the HTF average line as a bias filter —only long when the trend is up (orange), short when down (blue).
HTF high/low labels help identify key breakout or rejection zones .
Combine with intraday systems or reversal tools for multi-timeframe confluence setups .
Ideal for scalpers and swing traders who rely on HTF momentum shifts .
🔵 CONCLUSION
HTF TrendMap provides a clean, data-rich layer of higher timeframe context to any chart. With adaptive trend coloring, volatility mapping, and real-time data labeling, it enables traders to stay in sync with macro structure while executing on the micro.
Indicadores e estratégias
OTE & A-B-C Zone Indicator SwiftEdgeOTE & A-B-C Zone Indicator SwiftEdge
Overview
The OTE & A-B-C Zone Indicator SwiftEdge is a versatile tool designed to help traders identify high-probability trading setups using a combination of Optimal Trade Entry (OTE) zones, Fibonacci levels, and A-B-C price patterns. This indicator is particularly useful for traders who rely on price action and Fibonacci-based strategies to find entry points, set stop-losses, and target potential take-profit levels. By integrating swing point detection, trend analysis, and Fibonacci projections, SwiftEdge provides a clear visual framework for making informed trading decisions across various timeframes.
What It Does
SwiftEdge identifies key price levels and zones to guide your trading:
OTE Zone: Highlights the Optimal Trade Entry zone between swing points A (swing high) and B (swing low) using Fibonacci retracement levels (default: 0.618 to 0.786). This zone represents a high-probability area for price reversals, making it an ideal entry point for trades.
A-B-C Pattern: Marks the latest swing points as A (swing high), B (swing low), and C (projected take-profit level) with dashed lines and labels. A solid line connects A to B to C, visually illustrating the price movement from entry to target.
Take-Profit Zones: Projects three customizable take-profit levels (TP1, TP2, TP3) based on Fibonacci extensions (default: 1.272, 1.618, 2.0) from the A-B swing, helping traders plan exits with favorable risk-reward ratios.
How It Works
SwiftEdge combines several technical components to create a cohesive trading system:
Swing Point Detection: Identifies significant swing highs (A) and swing lows (B) using a dynamic lookback period that adjusts to the selected timeframe. On lower timeframes like 1-minute charts, an ATR-based filter reduces noise by requiring price movements to exceed a threshold (0.5 * ATR(14)).
Trend Analysis: Uses an Exponential Moving Average (EMA) to determine the trend direction (default: 50-period EMA on 1H). The indicator marks uptrends (price above EMA) in green and downtrends (price below EMA) in red, ensuring trades align with the market's direction.
Fibonacci Levels: Applies Fibonacci retracement to define the OTE zone between A and B, and Fibonacci extensions to project take-profit levels (C) beyond the initial swing. This approach leverages the natural tendency of markets to respect Fibonacci ratios for reversals and extensions.
Visual Clarity: Displays only the latest A-B-C pattern with three dashed lines (A, B, C) and a solid connecting line, ensuring the chart remains uncluttered and easy to interpret.
The combination of these elements creates a structured setup where the OTE zone (between A and B) serves as an entry point, while the projected C level offers a target, all within the context of the prevailing trend. This synergy makes SwiftEdge a powerful tool for traders seeking to combine price action, trend analysis, and Fibonacci strategies.
How to Use
Add the Indicator: Apply the indicator to your chart via TradingView's indicator menu.
Identify the Trend: The OTE zone and A-B-C pattern will be colored green in uptrends (price above EMA) or red in downtrends (price below EMA). Use this to determine the market direction.
Entry Point: Look for price reversals within the OTE zone (between A and B). This zone is typically between the 0.618 and 0.786 Fibonacci retracement levels of the A-B swing, making it a high-probability area for entries.
Stop-Loss: Place your stop-loss below the OTE zone in an uptrend (or above in a downtrend) to protect against false breakouts.
Take-Profit Targets: Use the projected take-profit zones (TP1, TP2, TP3) as potential exit levels. These are based on Fibonacci extensions and can be toggled on/off in the settings.
Customization:
Adjust the Fibonacci levels for the OTE zone (Fibonacci Level 1 and Fibonacci Level 2) to suit your strategy.
Modify the take-profit levels (Fibonacci Extension Level for TP1/TP2/TP3) to target different extension ratios.
Change the lookback period (Base Lookback Period) and EMA period (Base EMA Period) to fine-tune swing point detection and trend sensitivity.
Customize colors for uptrends, downtrends, and A-B-C lines to match your preferences.
What Makes It Unique
SwiftEdge stands out by integrating swing point detection, Fibonacci-based OTE zones, and A-B-C price patterns into a single, visually intuitive indicator. Unlike standalone Fibonacci tools or trend indicators, SwiftEdge combines these elements to provide a complete trading setup: it identifies entry zones (OTE), confirms trend direction (EMA), and projects take-profit targets (Fibonacci extensions). The dynamic timeframe adjustment ensures consistent performance across all chart intervals, while the clean A-B-C visualization (with only the latest pattern displayed) prevents chart clutter, making it easier to focus on the most relevant price levels.
Notes
This indicator is designed for traders familiar with price action and Fibonacci strategies. It does not guarantee profits and should be used in conjunction with other analysis tools and proper risk management.
Performance may vary depending on market conditions and timeframe. Test the indicator on a demo account before using it in live trading.
Position Size Calculator with Compound EarningsDoes compounddaily.org functions and calculates position sizing based on
Contracts = (Account × Risk%) ÷ (Stop Distance × $2.00 for MNQ)
Daily ATR Bonanza: Expected Moves - Tr33man Daily ATR Bonanza: Expected Moves
Overview 🤷♂️
The Daily ATR Bonanza script is a powerful trading tool designed to help traders visualize and understand potential price movements using the Average True Range (ATR). It provides daily and weekly ATR levels, historical statistics, and conditional probability analysis to give traders actionable insights. The script also plots the daily Keltner channel. This script is ideal for traders who want to gauge volatility, identify key levels, and make data-driven decisions.
b]Key Features:
📈 1. Daily and Weekly ATR Levels
🔵ATR Levels: The script calculates and displays ATR-based levels for the day and week. These levels are derived from the previous day's or week's close price and are adjusted using customizable multipliers (0.5x, 1x, and 1.5x by default).
🔵You can choose the number of ATR levels (1, 2, or 3) and adjust the multipliers to suit your trading strategy.
🌐 2. ATR Bands (Keltner Channels)
🔵The script includes an option to display ATR Bands, which are volatility-based envelopes around a moving average. These bands help identify overbought and oversold conditions.
🔵You can adjust the ATR multiplier and the length of the moving average used for the bands.
🧮 3. Historical Statistics and Conditional Probability
🔵 Historical Analysis: The script analyzes historical price movements to calculate the likelihood of closing at certain ATR levels.
🔵 Conditional Probability: This feature shows the probability of the price reaching specific ATR levels given the current market conditions. The conditional matches historical data by an open in the same opening ATR bucket, as well as the current price bucket having been visited in the historical case. Conditional probabilities are just statistics, and do not predict anything.
Data Table: 📚
🔵 Historical Close Probability: The percentage of days the price closed within each ATR level.
🔵 Conditional Close Probability: The likelihood of the price closing within each ATR level today.
❓ What is Conditional Probability? ❓
Conditional probability is a statistical measure that calculates the likelihood of an event occurring given that another event has already occurred. In this script, it is used to determine the probability of the price reaching specific ATR levels based on the current opening range as well as current ATR distance from the previous close.
For example:
If the market opens near the lower end of the first ATR level, the script calculates the likelihood of the price reaching the upper end of the first, second, or third ATR level.
This analysis is based on historical data, making it a powerful tool for understanding potential price movements.
🌟 Understanding the Levels
🔵Daily Levels: These are based on the previous day's close price and ATR. They are updated at the start of each new day.
🔵Weekly Levels: These are based on the previous week's close price and ATR. They are updated at the start of each new week.
🔵ATR Bands: These are dynamic levels that adjust with market volatility.
🔬 Analyze the Statistics (Daily only for now, no weekly yet)
🔵Use the interactive table to understand historical probabilities and conditional probabilities.
🔵Focus on the current opening range and the likelihood of reaching specific levels.
🧠 Make Trading Decisions
🔵Use the ATR levels and bands to identify key support and resistance levels.
🔵Use the conditional probability table to gauge the likelihood of reaching specific targets.
🔵Adjust your strategy based on the historical performance of the market.
Example Use Cases
1. Day Trading
Use the daily ATR levels to set intraday targets and stop-loss levels.
Monitor the conditional probability table to adjust your expectations based on the opening range.
2. Swing Trading
Use the weekly ATR levels to identify longer-term support and resistance levels.
3. Scalping
Use the ATR bands to identify overbought and oversold conditions.
Use the conditional probability table to quickly assess the likelihood of price movements.
Elliott Waves Auto (Waves 1–3)//@version=5
indicator("Elliott Waves Auto (Waves 1–3)", overlay=true)
pivotLen = input.int(5, "Pivot Lookback", minval=1)
// === كشف القمم والقيعان ===
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
var float wave1Low = na
var float wave1High = na
var float wave2Low = na
var float wave3High = na
var int wave1LowBar = na
var int wave1HighBar = na
var int wave2LowBar = na
var int wave3HighBar = na
// === اكتشاف موجة 1 ===
if pl and na(wave1Low)
wave1Low := low
wave1LowBar := bar_index - pivotLen
if ph and not na(wave1Low) and na(wave1High)
wave1High := high
wave1HighBar := bar_index - pivotLen
// === اكتشاف موجة 2 ===
if pl and not na(wave1High) and na(wave2Low)
wave2Low := low
wave2LowBar := bar_index - pivotLen
// === اكتشاف موجة 3 ===
if ph and not na(wave2Low) and na(wave3High)
possibleWave3 = high
if possibleWave3 > wave1High
wave3High := possibleWave3
wave3HighBar := bar_index - pivotLen
// === رسم الموجات ===
if not na(wave1Low) and not na(wave1High)
line.new(wave1LowBar, wave1Low, wave1HighBar, wave1High, color=color.blue, width=2)
label.new(wave1LowBar, wave1Low, text="Wave 1", style=label.style_label_up, color=color.blue, textcolor=color.white)
if not na(wave1High) and not na(wave2Low)
line.new(wave1HighBar, wave1High, wave2LowBar, wave2Low, color=color.orange, width=2)
label.new(wave2LowBar, wave2Low, text="Wave 2", style=label.style_label_down, color=color.orange, textcolor=color.white)
if not na(wave2Low) and not na(wave3High)
line.new(wave2LowBar, wave2Low, wave3HighBar, wave3High, color=color.green, width=2)
label.new(wave3HighBar, wave3High, text="Wave 3", style=label.style_label_up, color=color.green, textcolor=color.white)
IU Inside out candlestick patternIU Inside Out Candlestick Pattern
This indicator identifies the Inside Out Candlestick Pattern — a unique 3-bar price action setup that captures strong market momentum and potential reversals with greater reliability than traditional patterns.
Pattern Logic:
The Inside Out pattern builds upon a classic engulfing setup by adding a breakout confirmation, making it a refined and filtered approach to candlestick analysis.
Bullish Inside Out Logic:
- Bar must be a bullish engulfing candle (engulfs previous bearish candle).
- Current bar must be bullish and must close above the high of the engulfing candle (a bullish breakout).
- When this setup is confirmed, a shaded green box is drawn around the range of the engulfing candle and its preceding bar.
Bearish Inside Out Logic:
- Bar must be a bearish engulfing candle (engulfs previous bullish candle).
- Current bar must be bearish and must close below the low of the engulfing candle (a bearish breakdown).
- When confirmed, a red box highlights the zone formed by the engulfing candle and its prior bar.
Why this is unique:
Unlike conventional candlestick indicators that trigger signals immediately after an engulfing pattern, this script adds a breakout condition to validate follow-through strength. This reduces false positives and gives traders a clearer edge. The pattern is also rare, which means it captures strong, decisive moves when it does appear.
How users can benefit:
- High-quality entries: Only shows patterns with proven follow-through, improving trade timing.
- Visual clarity: Boxes and labels highlight significant price zones for easy interpretation.
- Flexible use: Applicable across timeframes and instruments — ideal for both intraday and swing traders.
- Alerts included: Real-time alerts help traders stay updated without staring at charts all day.
This script is a powerful tool for price action traders looking to enhance pattern reliability and signal strength through structure-based breakout confirmation.
Support/Resistance Breakout DetectorThis indicator automatically detects and plots dynamic support and resistance levels using pivot highs and lows.
✅ It draws red resistance lines and blue support lines,
✅ The lines extend forward but automatically stop when the price touches them,
✅ It monitors for breakouts with strong volume,
✅ When a breakout happens, it shows labels like “B” or “Bull Wick” / “Bear Wick” on the chart,
✅ It also triggers alerts when support or resistance breaks with high volume.
Main settings:
Pivot lookback period
Show/hide breakout labels
Minimum volume for breakout
Maximum extension length for lines
This tool helps traders easily spot key price levels and watch for meaningful breakouts.
DECODE Multi SMA EMANo need to keep reconfiguring your moving averages. Set up to 10 moving averages, 5 x SMA and 5 x EMA, and optionally apply coloured shading between pairs. Once it's set up, just turn them on or off as needed!
Swing Trading PRO - Moving averages + RSIWhat the Lines Mean ?
Orange Line (Fast EMA) = 20-period Exponential Moving Average
Blue Line (Slow EMA) = 50-period Exponential Moving Average
These are used to determine market trend:
If orange (EMA 20) is above blue (EMA 50) → Market is in an uptrend
If orange is below blue → Market is in a downtrend
Use on 4H or Daily timeframe for swing trades
Avoid using in sideways/choppy markets (when the EMAs are close together or crossing repeatedly)
Combine with support/resistance or Fibonacci retracements for more precise exits
Hull Trend Strong ConfirmationHull Trend original adapted: Added Strong Confirmation. Original code: jaggesoft
Half Supertrend [NLR]While the Supertrend is a popular tool, traders often face the challenge of false signals and uncertain entry points. The Half Supertrend indicator addresses these shortcomings by introducing a dynamic mid-level , offering a significantly improved way to identify true trend strength and potential high-probability entries.
Here's how the mid-level enhances your trend analysis:
Filter Out Noise: Instead of reacting to every Supertrend flip, the mid-level helps you identify the strength of the trend. Price moving strongly away from the mid-level confirms a higher conviction move.
Identify Optimal Pullback Entries: Waiting for price to pull back to the dynamic mid-level after a Supertrend direction change can provide better entry prices and potentially higher probability setups, capitalizing on established momentum. This approach helps avoid entering prematurely on weaker signals.
Gain Deeper Trend Insight: The position of the price relative to both the Supertrend line and the mid-level paints a clearer picture of the current trend's strength and potential for continuation or reversal.
Here's the technical edge you've been waiting for:
Enhanced Trend Confirmation: This indicator plots a mid-level derived from half the Average True Range (ATR) multiple, acting as a crucial intermediary for assessing trend strength.
Intra-Trend Strength Analysis:
Price above/below the mid-level: Indicates a strong trending move aligned with the Supertrend direction.
Price between the mid-level and the Supertrend line: Suggests a weaker trend and a higher probability of consolidation or reversal.
Early Reversal Detection: Price crossing the mid-level can serve as an early warning signal of a potential trend change.
Higher Timeframe Clarity: The user-configurable higher timeframe (HTF) input provides a robust, multi-timeframe trend bias.
Dynamic Entry Levels: Potential entry levels based on the mid-level are plotted for visual guidance.
Clear Visual Representation: Color-coded lines and filled areas simplify trend and strength assessment.
How it works under the hood:
This indicator utilizes the standard Supertrend calculation on the chosen higher timeframe, incorporating the Average True Range (ATR) to determine volatility-adjusted bands. The unique addition is the "half trend" line, calculated by adding or subtracting half of the ATR-based trailing stop value from the Supertrend line. This mid-level acts as a crucial intermediary zone for evaluating the conviction of the current trend.
// Calculate the mid-level line
half_line = supertrend + (atr * half_factor)
Key Input Parameters:
ATR Length: Determines the period for calculating the Average True Range (default: 10).
Factor: The multiplier applied to the ATR to determine the Supertrend band width (default: 3). The mid-level dynamically adjusts based on half of this factor.
Timeframe: Allows you to select a higher timeframe for the Supertrend calculation, providing a broader trend context.
Up Color/Down Color: Customize the colors for uptrend and downtrend indications.
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines — ZVOL ( volume anomaly detection ) and OBVX ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes optical tensegrity to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame.
🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets, Volumetric Tensegrity captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes.
🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate.
🧠 Core Logic - VTense separates and preserves two essential structural forces:
• ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior.
• OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off.
🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint.
🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points before price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation.
🪖 From Generals to Scouts
👀 When used jointly, ZVOL + OBVX act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a scout — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate.
🥂 Use the ZVOL + OBVX pair when :
• You need independent axis control and manual dissection
• You’re building long-form confluence setups
• You have more indicator slots than you need
🔎 Use VTense when :
• You need compact clarity across multiple instruments
• You’re prioritizing confluence _detection_ over granular separation
• You’re building efficient multi-layered systems under slot constraints
🏗️ Structural Behavior and Interpretation
🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline
🔵 Compression Coil – volume volatility is low and stable; the market is coiling
🟢 Steady Rhythm – volume is healthy but unremarkable; balanced participation
🟡 Passive/Absorbed Effort – expansion failing to manifest; watch for reversal
🟠 Clean Expansion – actionable volatility rise backed by structure
🔴 Volatile Blowout – chaos, climax; likely end-phase or fakeout
⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field.
🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves
🔑 The curvature of the spread reveals not just directional bias but crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision.
• Green Rising : Accumulation — upward pressure from real buyers
• Red Falling : Distribution — sell pressure, downward slope
• Flat Curves : Transitional → uncertainty, microstructure digestion
🎭 Synchronized vs Divergent Behavior
⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves.
• ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure
• ZVOL expands while OBVX steepens red = growing sell-side intent
🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps.
• ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment
⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release.
• ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy
• After prolonged drift, expect violent asymmetry when balance finally breaks
📚 Phase Interpretation: Dynamic Structural Read
• 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency
• 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension
• 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment
• 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal
💡 Suggested Use
• Run on 15m charts for breakout anticipation and 1H for validation
• Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase
• Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.)
• Ideal during low-volume regimes to detect pressure buildup before triggers
🧏🏻 Volumetric Tensegrity doesn’t signal. It breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
MACD-V with Volatility Normalisation [DCD]MACD-V with Volatility Normalisation
This indicator is a modified version of the traditional MACD, designed to account for market volatility by normalizing the MACD line using the Average True Range (ATR). It provides a more adaptive approach to identifying momentum shifts and potential trend reversals. This indicator was developed by Alex Spiroglou in this paper:
Spiroglou, Alex, MACD-V: Volatility Normalised Momentum (May 3, 2022).
Features:
Volatility Normalization: The MACD line is adjusted using ATR to standardize its values across different market conditions.
Customizable Parameters: Users can adjust the MACD fast length, slow length, signal line smoothing, and ATR length to suit their trading style.
Histogram Visualization: The histogram highlights the difference between the MACD and signal lines, with customizable colors for positive and negative momentum.
Crossover Signals: Green and red dots indicate bullish and bearish crossovers between the MACD and signal lines.
Background Highlighting: The chart background changes to green when the MACD is above 0 and red when it is below 0, providing a clear visual cue for bullish and bearish conditions.
Horizontal Levels: Dotted horizontal lines are plotted at key levels for better visualization of MACD values.
How to Use:
Look for crossovers between the MACD and signal lines to identify potential buy or sell signals.
Use the histogram to gauge the strength of momentum.
Pay attention to the background color for quick identification of bullish (green) or bearish (red) conditions.
This indicator is ideal for traders who want a more dynamic MACD that adapts to market volatility. Customize the settings to align with your trading strategy and timeframe.
AL-SAT Sinyali (Dip AL + Heikin Ashi)Buy: Combines RSI, MACD, volume, and trend signals
Sell: RSI>70 + MACD cross down
Target: Auto 10% line, profit shown
Dip Buy: RSI<30 + dip zone + HA bullish
Note: Use with context; HA may delay signals.
Triple Stoch and RSI (4 assets)4 Hour Green Dots -
This indicator looks at four different assets and shows when the RSI and 3 different stochastic RSI levels are all oversold.
You can optionally add Red dots when they are all overbought but doesn't seem to be as accurate.
The assets and levels are all customizable.
Volume Cluster Support & ResistanceVolume Cluster Support & Resistance
This indicator identifies potential Support and Resistance (S/R) levels on the chart using Volume-Based Point of Control (POC) Clustering. It offers extensive customization for calculation parameters, display styles, and visualization options, including S/R zones, color gradients, and historical reaction markers.
How It Works
Volume Based S/R:
Scans the specified Clustering Lookback period for "High Volume Bars", defined as bars where volume exceeds the average volume (over Volume Lookback Period) multiplied by the High Volume Threshold Multiplier.
Calculates the Point of Control (POC) for each high-volume bar using hl2.
Clusters these high-volume bar POCs: POCs within a proximity defined by Cluster Proximity (ATR) (Average True Range multiplier) are grouped together.
Filters these clusters, requiring a Min Bars in Cluster to form a valid S/R zone.
(Image showing the indicator being used on the Bitcoin 5min chart)
The center price of valid clusters determines the S/R level. Clusters above the current price become potential Resistance, and those below become potential Support.
Calculates the offset based on the most recent bar included in the cluster.
Level Selection & Display:
The indicator identifies multiple potential S/R levels.
It then selects and displays the top Number of S/R Levels to Display support levels below the current price and resistance levels above the current price.
(Image showing the indicator on the GBP/USD 5min chart)
ATR Usage:
The Average True Range (ta.atr(14)) is used in two key areas:
Determining the proximity threshold for grouping POCs in the 'Volume Based' clustering (clusterProximityAtr).
Calculating the width of the S/R zones when 'Use Zone Visualization' is enabled (zoneAtrMultiplier).
Key Features & Components
Dual Calculation Methods: Choose between Pivot-based S/R or Volume-based POC clustering.
Volume Confirmation: Pivots require volume confirmation; Volume method directly analyzes high-volume bars.
POC Clustering: Groups high-volume areas to identify significant price zones.
Configurable Lookbacks: Adjust periods for volume averaging, pivot detection, and clustering analysis.
Dynamic S/R Display: Shows a configurable number of the most relevant S/R levels relative to the current price.
Optional Zone Visualization: Display levels as filled zones with configurable width (ATR-based), fill transparency, and border transparency. Includes a dashed center line.
Optional Historical Reactions: Mark past price interactions (lows bouncing off support zones, highs rejecting from resistance zones) directly on the chart (Warning: Can significantly impact performance).
Customizable Styling: Control line style (Solid, Dashed, Dotted), width, color (separate for Support & Resistance), and horizontal extension (None, Left, Right, Both).
Price Labels: Toggle visibility of price labels next to each S/R level/zone.
Visual Elements Explained
S/R Lines/Zones: Plotted lines or filled zones representing calculated support and resistance levels. Color-coded for Support (default green) and Resistance (default magenta).
Line/Zone Borders: Appearance controlled by Style settings (Style, Width, Extension). Can have a gradient color effect based on age if enabled.
Zone Fills: Semi-transparent fills for zones (if enabled), with configurable transparency. Fill color matches the border color (including gradient effect if enabled).
Zone Center Line: A thin, dashed line indicating the exact calculated S/R price within a zone.
Price Labels: Text labels showing the exact price of the S/R level.
Historical Reactions: Small dot markers appearing on historical bars where price potentially reacted to a displayed zone (only if Show Historical Reactions is enabled).
Configuration Options
Users can adjust the following parameters in the indicator settings:
Calculation Method: Select "Pivot Based" or "Volume Based".
Volume Zone Settings (Volume Based): Threshold multiplier, clustering lookback, cluster proximity (ATR), minimum bars per cluster.
Display Options: Toggle S/R visibility, price tags, set the number of levels to show.
Volume Settings: Volume lookback period, volume multiplier (for Pivot confirmation).
Style Settings: Line style, width, extension, support/resistance text and line colors, enable gradient coloring, set gradient start/end colors.
Zone Visualization: Enable/disable zones, set zone width (ATR multiplier), fill and border transparency, enable/disable historical reaction markers (performance warning).
Interpretation Notes
This indicator identifies potential areas of support and resistance based on historical price action and volume analysis. These levels are not guaranteed reversal points.
The 'Volume Based' method focuses on areas where significant trading activity occurred, while the 'Pivot Based' method focuses on price turning points confirmed by volume.
Use the displayed levels in conjunction with other technical analysis tools, price action patterns, and risk management strategies.
Be mindful of the performance impact when enabling Show Historical Reactions, especially on longer timeframes or with large lookback periods. The default setting is false for optimal performance.
The max_bars_back setting is optimized for performance; increasing it significantly may slow down chart loading.
Risk Disclaimer
Trading involves significant risk. This indicator is provided for analytical and educational purposes only and does not constitute financial advice or a trading recommendation. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose.
[TTM] ICT Sessions & Ranges🌟 Overview 🌟
The ICT Sessions & Ranges Indicator helps traders identify key intraday price levels by marking custom session highs/lows and opening ranges.
It helps traders spot potential liquidity grabs, reversals, and breakout zones by tracking price behavior around these key areas
🌟 Session Highs & Lows – Liquidity Zones 🌟
Session highs and lows often attract price due to stop orders resting above or below them. These levels are frequently targeted during high-volatility moves.
🔹 Asia Session
- Usually ranges in low volatility.
- Highs/lows often get swept during early London.
- Price may raid these levels, then reverse.
🔹 London Session
- First major volatility of the day.
- Highs/lows often tested or swept in New York.
- Commonly forms the day’s true high or low.
🌟 Opening Range Concepts 🌟
The Opening Range is the first 15, 30, or 60 minutes of a session (e.g., New York).
The high (ORH) and low (ORL) define the market’s initial balance and key reaction levels.
🔹 Breakout Trade
- Price breaks ORH/ORL with momentum.
- Signals directional intent.
- Traders enter on the breakout, with stops inside the range.
🔹 Liquidity Raid
- Price briefly breaks ORH/ORL to trigger stops.
- Reverses after the sweep.
- Look for structure shift and entry near FVG or OB.
🌟 Customizable Settings 🌟
The indicator includes 3 configurable ranges , each with:
Start & End Time – Set any custom time window.
Display Type – Choose Box (highlight range) or Lines (mark high/low).
Color Settings – Set custom colors for boxes and lines.
🌟 Default Settings 🌟
Range 1 : 19:00–00:00 (Asia Session)
Range 2 : 01:45–05:15 (London Session)
Range 3 : 09:30–10:00 (NY Opening Range – 30m)
SMT Divergences Alert [LuxAlgo]This is a script i made for myself in which alerts can be set for the SMT divergences as published by luxalgo initially.
Global M2 by Colin Talks Crypto // Days Offset =// This Pine Script® code is subject to the terms of the Mozilla Public License
//@version=6
indicator(title = "Global M2 10-Week Lead (for bitcoin)", shorttitle = 'Global M2', overlay=true, scale=scale.left)
// Slide weeks input (in weeks)
slide_weeks = input.int(defval=10, title="Slide Weeks Forward", minval=0, maxval=52, tooltip="Number of weeks to slide the indicator forward")
// Enable settings for each country's M2
usa_active = input(true, title = "USM2 (USA Money Supply)")
europe_active = input(true, title = "EUM2 (Eurozone Money Supply)")
china_active = input(true, title = "CNM2 (China Money Supply)")
japan_active = input(true, title = "JPM2 (Japan Money Supply)")
uk_active = input(true, title = "UKM2 (United Kingdom Money Supply)")
canada_active = input(true, title = "CAM2 (Canada Money Supply)")
australia_active = input(true, title = "AUM3 (Australia Money Supply)")
india_active = input(true, title = "INM2 (India Money Supply)")
korea_active = input(true, title = "KRM2 (South Korea Money Supply)")
brazil_active = input(true, title = "BRM2 (Brazil Money Supply)")
russia_active = input(true, title = "RUM2 (Russia Money Supply)")
switzerland_active = input(true, title = "CHM2 (Switzerland Money Supply)")
mexico_active = input(true, title = "MXM2 (Mexico Money Supply)")
indonesia_active = input(true, title = "IDM2 (Indonesia Money Supply)")
turkey_active = input(true, title = "TRM2 (Turkey Money Supply)")
saudi_active = input(true, title = "SAM2 (Saudi Arabia Money Supply)")
argentina_active = input(true, title = "ARM2 (Argentina Money Supply)")
southafrica_active = input(true, title = "ZAM2 (South Africa Money Supply)")
// Daily timeframe for economic data
tf = "D"
// Get M2 data for each country and convert to USD
us_m2 = usa_active ? request.security("ECONOMICS:USM2", tf, close) : 0
eu_m2 = europe_active ? request.security("ECONOMICS:EUM2", tf, close) * request.security("FX_IDC:EURUSD", tf, close) : 0
china_m2 = china_active ? request.security("ECONOMICS:CNM2", tf, close) * request.security("FX_IDC:CNYUSD", tf, close) : 0
japan_m2 = japan_active ? request.security("ECONOMICS:JPM2", tf, close) * request.security("FX_IDC:JPYUSD", tf, close) : 0
uk_m2 = uk_active ? request.security("ECONOMICS:GBM2", tf, close) * request.security("FX_IDC:GBPUSD", tf, close) : 0
canada_m2 = canada_active ? request.security("ECONOMICS:CAM2", tf, close) * request.security("FX_IDC:CADUSD", tf, close) : 0
australia_m2 = australia_active ? request.security("ECONOMICS:AUM3", tf, close) * request.security("FX_IDC:AUDUSD", tf, close) : 0
india_m2 = india_active ? request.security("ECONOMICS:INM2", tf, close) * request.security("FX_IDC:INRUSD", tf, close) : 0
korea_m2 = korea_active ? request.security("ECONOMICS:KRM2", tf, close) * request.security("FX_IDC:KRWUSD", tf, close) : 0
brazil_m2 = brazil_active ? request.security("ECONOMICS:BRM2", tf, close) * request.security("FX_IDC:BRLUSD", tf, close) : 0
russia_m2 = russia_active ? request.security("ECONOMICS:RUM2", tf, close) * request.security("FX_IDC:RUBUSD", tf, close) : 0
switzerland_m2 = switzerland_active ? request.security("ECONOMICS:CHM2", tf, close) * request.security("FX_IDC:CHFUSD", tf, close) : 0
mexico_m2 = mexico_active ? request.security("ECONOMICS:MXM2", tf, close) * request.security("FX_IDC:MXNUSD", tf, close) : 0
indonesia_m2 = indonesia_active ? request.security("ECONOMICS:IDM2", tf, close) * request.security("FX_IDC:IDRUSD", tf, close) : 0
turkey_m2 = turkey_active ? request.security("ECONOMICS:TRM2", tf, close) * request.security("FX_IDC:TRYUSD", tf, close) : 0
saudi_m2 = saudi_active ? request.security("ECONOMICS:SAM2", tf, close) * request.security("FX_IDC:SARUSD", tf, close) : 0
argentina_m2 = argentina_active ? request.security("ECONOMICS:ARM2", tf, close) * request.security("FX_IDC:ARSUSD", tf, close) : 0
southafrica_m2 = southafrica_active ? request.security("ECONOMICS:ZAM2", tf, close) * request.security("FX_IDC:ZARUSD", tf, close) : 0
// Calculate total liquidity (In Trillions USD)
total = (us_m2 + eu_m2 + china_m2 + japan_m2 + uk_m2 + canada_m2 + australia_m2 + india_m2 + korea_m2 + brazil_m2 + russia_m2 + switzerland_m2 + mexico_m2 + indonesia_m2 +
turkey_m2 + saudi_m2 + argentina_m2 + southafrica_m2) / 1000000000000
// Calculate minutes per bar based on timeframe
var float minutes_per_bar = 0
if timeframe.isminutes
minutes_per_bar := timeframe.multiplier * 1
else if timeframe.isdaily
minutes_per_bar := timeframe.multiplier * 1440 // 1440 minutes = 1 day
else if timeframe.isweekly
minutes_per_bar := timeframe.multiplier * 10080 // 10080 minutes = 1 week
else if timeframe.ismonthly
minutes_per_bar := timeframe.multiplier * 43200 // 43200 minutes ≈ 1 month (30 days)
// Convert weeks to bars: (weeks * days/week * minutes/day) / minutes_per_bar
bars_offset = math.round(slide_weeks * 7 * 1440 / minutes_per_bar)
// Plot total liquidity with dynamic offset
plot(total, offset=bars_offset, color=color.blue, linewidth=2)
ICT Intraday FrameworkAutomating The Basics Of ICT Intraday Concepts:
NWOG/NDOG
-from 4:14pm to 9:29am a line will be drawn from 4:14pm close to anticipate ndog/nwog
-once 9:30am or later NDOG/NWOG is drawn with High, Mid, and Low prices
-has option to extend High, Mid, and Low price lines until start of new day at 2/3pm
First Presented Imbalance
-draws fp imb from 9:30-10am
-has option to extend High, Mid, and Low price lines until start of new day at 2/3pm
Custom Macro Window
-draw box around high and low of macro
-first presented imbalance of macro window
Future concepts im planning to add:
Asia BSL/SSL Highlight
MA cross X MAdiff<>atrfilter)📈 MA cross X MAdiff<>ATR filter
Smarter Trend Confirmation Using Adaptive Volatility Thresholds
🔍 What It Does
This indicator upgrades classic moving average crossovers by adding volatility awareness via ATR filtering. Instead of reacting to every small crossover, it waits for the distance between two moving averages to exceed a volatility-adjusted threshold, making signals more meaningful and less noisy.
⚙️ Core Logic
Calculates the difference between a Fast MA and a Slow MA.
Uses Average True Range (ATR) as a dynamic volatility filter.
Confirms trend only when MA difference exceeds:
diff > ATR × multiplier → Bullish
diff < -ATR × multiplier → Bearish
Otherwise: Neutral (gray zone)
The gray zone avoids false signals by detecting indecision or choppy markets.
🧠 Customizable Inputs
Choose any MA type independently for Fast and Slow:
SMA, EMA, WMA, VWMA, RMA, DEMA, TEMA, LSMA, Kijun
Control sensitivity via:
ATR Length
ATR Multiplier
✅ Why It Works
Reduces fake outs in ranging markets.
Adapts to volatility automatically.
Fully customizable for any asset or style.
Ideal for trend traders, momentum entries, or as a confluence layer.
ICT Killzones & Pivots [TFO]shorten the date name
adjust to fit in JST time zone (fit for Japan based traders like me, who is early bird and can't trade at 10PM JST = NY open)