Candle Range Theory for SeSe04Small Candle Theory — Automatic Detection of Micro-Retracements
📘 Description
The Small Candle Theory indicator automatically identifies market structures where a small candle forms within the range of a larger previous candle, highlighting potential momentum slowdown or local reversal areas.
This is a price action visualization tool, not a trading signal provider.
⚙️ Detection Conditions
📈 Bullish Signal
Candle 1: Large bearish candle
Candle 2: Small bullish candle
Candle 2 closes within the range of Candle 1
→ A blue triangle appears below the confirmation candle.
📉 Bearish Signal
Candle 1: Large bullish candle
Candle 2: Small bearish candle
Candle 2 closes within the range of Candle 1
→ A red triangle appears above the confirmation candle.
🧠 How to Use
This indicator does not generate buy/sell signals.
It highlights moments of reduced volatility that may precede a potential reversal or continuation, depending on market structure.
Best used:
In confluence with structure tools (support/resistance, order blocks, FVGs, etc.)
With strict risk management
On multiple timeframes
⚙️ Settings
No manual input is required.
Detection logic is automatic and works on any asset or timeframe.
🛎️ Alerts (optional)
You can create an alert in TradingView:
"Create Alert" → Condition: Small Candle Theory (Bullish or Bearish)
to receive notifications when a setup appears.
⚠️ Disclaimer
This script is for educational and analytical purposes only.
It does not constitute financial advice.
Trading involves the risk of losing part or all of your invested capital.
Chart patterns
Island Reversal [LuxAlgo]The Island Reversal tool allows traders to identify reversal patterns directly on the chart. These patterns signal a potential change in trend, either from bullish to bearish or vice versa.
The tool enables traders to filter these patterns by trend, volume, and range, making it easy to display pure or less constrained island reversals.
🔶 USAGE
An island reversal pattern may indicate a change in trend. It occurs when prices change direction from an uptrend to a downtrend, or vice versa.
This pattern is a great tool for timing the market. Traders should be aware of when these patterns develop and watch how prices behave after the pattern forms.
Now, let's take a closer look at one of these island reversal patterns to highlight its different components.
The different parts are depicted in the image above.
1. A trend prior to the pattern
2. A gap starts the pattern.
3. A range of prices
4. A final gap, opposite to the first one, closes the pattern.
5. In this case, the pattern leads to a bearish trend, which is opposite to the trend in the first step.
🔹 Trend, Volume and Range Filters
Enabling the trend filter causes the tool to only detect top island reversals during a bullish trend and bottom island reversals during a bearish trend.
Traders can adjust the size of the detected trend in the settings panel. The larger the trend size, the more relevant the reversal patterns can be.
The volume filter only detects reversal patterns if there is more volume within the range of the pattern than in the preceding trend.
The idea is that more people tend to participate at the top and bottom of a trend as it changes direction.
The tool has two range filters that discriminate the range within the island reversal pattern:
Horizontality Filter (R2): Based on the R-squared statistic from linear regression, it detects whether the price is moving sideways within the range.
Volatility Filter: Based on long-term volatility, it detects the size of the range within the pattern.
The smaller the value in the Horizontality Filter, the more horizontal the prices will be within the range. A larger value will detect more reversal patterns.
The larger the value in the Volatility Filter, the larger the ranges will be. A smaller value will detect fewer reversal patterns.
🔶 SETTINGS
🔹 Trend Filter
Trend Filter: Enable or disable the trend filter.
Trend Length: Select the size of the detected trend.
🔹 Volume Filter
Volume Filter: Enable or disable the volume filter.
🔹 Range Filter
Horizontality Filter (R2): Enable or disable the Horizontality filter and select a threshold value.
Volatility Filter: Enable or disable the Volatility filter and select the multiplier value.
🔹 Style
Bullish: Select a color for bullish sessions.
Bearish: Select a color for bearish sessions.
Transparency: Select a transparency level from 100 to 0.
Ultimate Scalping IndicatorOverview
The Confluence Signal Indicator is a precision-built scalping tool designed to identify high-probability reversal points in the market.
It combines three core technical elements:
Trend
Mean reversion
Momentum
into a single, efficient system.
By filtering out weak RSI signals and focusing only on setups that align with trend direction and recent momentum shifts, this indicator delivers cleaner and more accurate short-term trade signals.
Core Components
200-Period Moving Average (MA200, 5-Minute Timeframe)
The MA200 is always calculated from the 5-minute chart, regardless of your current timeframe. It defines the macro trend direction and ensures that all trades align with the prevailing momentum.
Session VWAP (Volume-Weighted Average Price)
The VWAP tracks the real-time average price weighted by volume for the current trading session. It acts as a dynamic mean-reversion level and helps identify key areas of institutional activity and short-term balance.
RSI (Relative Strength Index)
The indicator uses a standard 14-period RSI to detect overbought and oversold market conditions.
A “recency filter” is added to ensure signals only appear when RSI has recently transitioned from strength to weakness or vice versa, reducing false signals in trending markets.
Signal Logic
Bullish Signal (Green Arrow)
A bullish reversal signal is plotted below a candle when:
Price is above both the 5-minute MA200 and the Session VWAP.
RSI is oversold (below 30).
The last time RSI was above 50 occurred within the last 10 candles before going oversold.
This ensures that the dip is a fresh pullback within an uptrend, not a prolonged oversold condition.
Bearish Signal (Red Arrow)
A bearish reversal signal is plotted above a candle when:
Price is below both the 5-minute MA200 and the Session VWAP.
RSI is overbought (above 70).
The last time RSI was below 50 occurred within the last 10 candles before going overbought.
This ensures that the overbought reading follows a recent move from weakness, identifying potential short entries in a downtrend.
Recommended Usage
This is a scalping-focused indicator, intended for use on timeframes of 5 minutes or lower. Therefore I would highly recommend to use it on Equity futures trading, such as NQ!, ES!, GC! and so on.
It performs best when combined with additional tools such as support and resistance zones, order blocks, or liquidity levels for context.
Avoid counter-trend signals unless confirmed by price structure or volume behavior.
SMC Smart Money Concepts [GPT-5] SRKWhat Smart Money Concepts (SMC) Means
Smart Money Concepts aim to analyze price action and market structure to identify where large players are likely entering or exiting trades.
It’s based on the idea that markets move because of liquidity and institutional order flow, not just technical indicators.
🔹 Core Principles of SMC
Market Structure – Identify trends, highs/lows, and shifts (BOS = Break of Structure, CHoCH = Change of Character).
Liquidity – Understand where stop losses accumulate (above highs or below lows) — these are zones institutions target.
Order Blocks (OBs) – Candles or zones where institutional buying or selling likely originated.
Fair Value Gaps (FVGs) – Imbalances in price where there was no trading activity; price often returns to fill these.
Premium & Discount Zones – Using Fibonacci or structural levels to determine optimal buy (discount) and sell (premium) areas.
Mitigation & Re-entry – Smart money often re-enters positions to “mitigate” previous orders.
🔹 Why Traders Use SMC
To align with institutional order flow instead of retail sentiment.
To improve precision in entries/exits (fewer trades, higher RR).
To understand why price moves, not just how.
🔹 Example
If EUR/USD is trending down, an SMC trader might:
Wait for liquidity sweep above a recent high (where retail traders put stop losses).
Spot a bearish order block.
Enter a sell trade once structure breaks lower (BOS), aiming for liquidity below a recent low.
Overnight Time Box Overnight Time Box (22:59 → 09:59, minutes & TZ)
Automatically draws a time-based box for a customizable window that can cross midnight. Perfect for marking the overnight range up to London open (e.g., 22:59–09:59 in Europe/Bucharest), but works with any minute-level window.
What it does
Builds a daily box covering all price action between two user-defined times (e.g., 22:59 → 09:59).
Tracks session High/Low in real time and can plot extended HL lines for reference.
Keeps historical boxes on the chart for backtesting and review (no flicker, no errors).
How to use
Add the script to an intraday chart.
Configure:
Time zone (default: Europe/Bucharest).
Interval (HHMM-HHMM) — e.g., 2259-0959 (minutes supported).
Optional: High/Low lines, fill color, border color, line width.
Use on intraday timeframes (M1–H4).
Note: On Daily/Weekly/Monthly, a heads-up label reminds you it’s designed for intraday use.
Inputs
Time zone: correct DST handling.
Interval (HHMM-HHMM): supports windows that span midnight.
Draw High/Low lines: extended HL guides for the session.
Colors & widths: full visual customization.
Use cases
Mark the overnight range into London open (10:00 RO).
Delimit Killzones / ICT Silver Bullet windows.
Study range, liquidity raids, FVGs before major sessions.
Tech notes
Built on Pine Script v5 using input.session → stable, DST-safe.
Increased max_boxes_count / max_lines_count to preserve history.
Boxes are “frozen” at session end and remain on chart.
Limitations
Intended for intraday only.
One interval per script instance; attach multiple instances for multiple windows.
StarterPack MAsThe Starter Moving Averages indicator is a clean and efficient tool designed to help traders identify market direction, momentum, and potential reversal points using dynamic moving averages. Built for clarity and precision, it combines multiple timeframes and visual signals to simplify decision-making without overloading your chart.
You can choose between EMA or SMA and set up to four custom lengths — by default: 9, 21, 50, and 200. These settings cover short-, medium-, and long-term trends, allowing you to analyze price behavior from scalping setups to major market cycles.
The script also includes optional higher-timeframe MAs, so you can align lower-timeframe entries with the overall market bias. For example, a bullish crossover on the 5-minute chart becomes more powerful when the higher timeframe MAs also point upward.
To make it even more intuitive, the indicator offers:
Automatic bar coloring based on MA alignment (green for uptrend, red for downtrend).
Crossover signals (MA1 crossing MA2) plotted directly on the chart, highlighting potential entry or exit zones.
Alert conditions ready to use — so you can be notified instantly when bullish or bearish crosses occur.
This indicator is highly adaptable for different trading styles — whether you’re a scalper, day trader, or swing trader. Its main goal is to help you quickly read the market structure and follow price action with discipline and consistency.
How to use:
Choose your preferred MA type (EMA or SMA).
Adjust the four MA lengths to fit your strategy.
(Optional) Activate the Higher Timeframe MAs for confluence.
Use color changes and cross signals as a visual guide to confirm trend direction or momentum shifts.
Set alerts to stay informed when a new cross occurs.
The Starter MAs indicator was created to bring simplicity, accuracy, and structure to your trading approach — a clean tool that helps you focus on what really matters: reading the market clearly and trading with confidence.
Smart Money Flow Index (SMFI) - Advanced SMC [PhenLabs]📊Smart Money Flow Index (SMFI)
Version: PineScript™v6
📌Description
The Smart Money Flow Index (SMFI) is an advanced Smart Money Concepts implementation that tracks institutional trading behavior through multi-dimensional analysis. This comprehensive indicator combines volume-validated Order Block detection, Fair Value Gap identification with auto-mitigation tracking, dynamic Liquidity Zone mapping, and Break of Structure/Change of Character detection into a unified system.
Unlike basic SMC indicators, SMFI employs a proprietary scoring algorithm that weighs five critical factors: Order Block strength (validated by volume), Fair Value Gap size and recency, proximity to Liquidity Zones, market structure alignment (BOS/CHoCH), and multi-timeframe confluence. This produces a Smart Money Score (0-100) where readings above 70 represent optimal institutional setup conditions.
🚀Points of Innovation
Volume-Validated Order Block Detection – Only displays Order Blocks when formation candle exceeds customizable volume multiplier (default 1.5x average), filtering weak zones and highlighting true institutional accumulation/distribution
Auto-Mitigation Tracking System – Fair Value Gaps and Order Blocks automatically update status when price mitigates them, with visual distinction between active and filled zones preventing trades on dead levels
Proprietary Smart Money Score Algorithm – Combines weighted factors (OB strength 25%, FVG proximity 20%, Liquidity 20%, Structure 20%, MTF 15%) into single 0-100 confidence rating updating in real-time
ATR-Based Adaptive Calculations – All distance measurements use 14-period Average True Range ensuring consistent function across any instrument, timeframe, or volatility regime without manual recalibration
Dynamic Age Filtering – Automatically removes liquidity levels and FVGs older than configurable thresholds preventing chart clutter while maintaining relevant levels
Multi-Timeframe Confluence Integration – Analyzes higher timeframe bias with customizable multipliers (2-10x) and incorporates HTF trend direction into Smart Money Score for institutional alignment
🔧Core Components
Order Block Engine – Detects institutional supply/demand zones using characteristic patterns (down-move-then-strong-up for bullish, up-move-then-strong-down for bearish) with minimum volume threshold validation, tracks mitigation when price closes through zones
Fair Value Gap Scanner – Identifies price imbalances where current candle's low/high leaves gap with two-candle-prior high/low, filters by minimum size percentage, monitors 50% fill for mitigation status
Liquidity Zone Mapper – Uses pivot high/low detection with configurable lookback to mark swing points where stop losses cluster, extends horizontal lines to visualize sweep targets, manages lifecycle through age-based removal
Market Structure Analyzer – Tracks pivot progression to identify trend through higher-highs/higher-lows (bullish) or lower-highs/lower-lows (bearish), detects Break of Structure and Change of Character for trend/reversal confirmation
Scoring Calculation Engine – Evaluates proximity to nearest Order Blocks using ATR-normalized distance, assesses FVG recency and distance, calculates liquidity proximity with age weighting, combines structure bias and MTF trend into smoothed final score
🔥Key Features
Customizable Display Limits – Control maximum Order Blocks (1-10), Liquidity Zones (1-10), and FVG age (10-200 bars) to maintain clean charts focused on most relevant institutional levels
Gradient Strength Visualization – All zones render with transparency-adjustable coloring where stronger/newer zones appear more solid and weaker/older zones fade progressively providing instant visual hierarchy
Educational Label System – Optional labels identify each zone type (Bullish OB, Bearish OB, Bullish FVG, Bearish FVG, BOS) with color-coded text helping traders learn SMC concepts through practical application
Real-Time Smart Money Score Dashboard – Top-right table displays current score (0-100) with color coding (green >70, yellow 30-70, red <30) plus trend arrow for at-a-glance confidence assessment
Comprehensive Alert Suite – Configurable notifications for Order Block formation, Fair Value Gap detection, Break of Structure events, Change of Character signals, and high Smart Money Score readings (>70)
Buy/Sell Signal Integration – Automatically plots triangle markers when Smart Money Score exceeds 70 with aligned market structure and fresh Order Block detection providing clear entry signals
🎨Visualization
Order Block Boxes – Shaded rectangles extend from formation bar spanning high-to-low of institutional candle, bullish zones in green, bearish in red, with customizable transparency (80-98%)
Fair Value Gap Zones – Rectangular areas marking imbalances, active FVGs display in bright colors with adjustable transparency, mitigated FVGs switch to gray preventing trades on filled zones
Liquidity Level Lines – Dashed horizontal lines extend from pivot creation points, swing highs in bearish color (short targets above), swing lows in bullish color (long targets below), opacity decreases with age
Structure Labels – "BOS" labels appear above/below price when Break of Structure confirmed, colored by direction (green bullish, red bearish), positioned at 1% beyond highs/lows for visibility
Educational Info Panel – Bottom-right table explains key terminology (OB, FVG, BOS, CHoCH) and score interpretation (>70 high probability) with semi-transparent background for readability
📖Usage Guidelines
General Settings
Show Order Blocks – Default: On, toggles visibility of institutional supply/demand zones, disable when focusing solely on FVGs or Liquidity
Show Fair Value Gaps – Default: On, controls FVG zone display including active and mitigated imbalances
Show Liquidity Zones – Default: On, manages liquidity line visibility, disable on lower timeframes to reduce clutter
Show Market Structure – Default: On, toggles BOS/CHoCH label display
Show Smart Money Score – Default: On, controls score dashboard visibility
Order Block Settings
OB Lookback Period – Default: 20, Range: 5-100, controls bars scanned for Order Block patterns, lower values detect recent activity, higher values find older blocks
Min Volume Multiplier – Default: 1.5, Range: 1.0-5.0, sets minimum volume threshold as multiple of 20-period average, higher values (2.0+) filter for strongest institutional candles
Max Order Blocks to Display – Default: 3, Range: 1-10, limits simultaneous Order Blocks shown, lower settings (1-3) maintain focus on most recent zones
Fair Value Gap Settings
Min FVG Size (%) – Default: 0.3, Range: 0.1-2.0, defines minimum gap size as percentage of close price, lower values detect micro-imbalances, higher values focus on significant gaps
Max FVG Age (bars) – Default: 50, Range: 10-200, removes FVGs older than specified bars, lower settings (10-30) for scalping, higher (100-200) for swing trading
Show FVG Mitigation – Default: On, displays filled FVGs in gray providing visual history, disable to show only active untouched imbalances
Liquidity Zone Settings
Liquidity Lookback – Default: 50, Range: 20-200, sets pivot detection period for swing highs/lows, lower values (20-50) mark shorter-term liquidity, higher (100-200) identify major swings
Max Liquidity Age (bars) – Default: 100, Range: 20-500, removes liquidity lines older than specified bars, adjust based on timeframe
Liquidity Sensitivity – Default: 0.5, Range: 0.1-1.0, controls pivot detection sensitivity, lower values mark only major swings, higher values identify minor swings
Max Liquidity Zones to Display – Default: 3, Range: 1-10, limits total liquidity levels shown maintaining chart clarity
Market Structure Settings
Pivot Length – Default: 5, Range: 3-15, defines bars to left/right for pivot validation, lower values (3-5) create sensitive structure breaks, higher (10-15) filter for major shifts
Min Structure Move (%) – Default: 1.0, Range: 0.1-5.0, sets minimum percentage move required between pivots to confirm structure change
Multi-Timeframe Settings
Enable MTF Analysis – Default: On, activates higher timeframe trend analysis incorporation into Smart Money Score
Higher Timeframe Multiplier – Default: 4, Range: 2-10, multiplies current timeframe to determine analysis timeframe (4x on 15min = 1hour)
Visual Settings
Bullish Color – Default: Green (#089981), sets color for bullish Order Blocks, FVGs, and structure elements
Bearish Color – Default: Red (#f23645), defines color for bearish elements
Neutral Color – Default: Gray (#787b86), controls color of mitigated zones and neutral elements
Show Educational Labels – Default: On, displays text labels on zones identifying type (OB, FVG, BOS), disable once familiar with patterns
Order Block Transparency – Default: 92, Range: 80-98, controls Order Block box transparency
FVG Transparency – Default: 92, Range: 80-98, sets Fair Value Gap zone transparency independently from Order Blocks
Alert Settings
Alert on Order Block Formation – Default: On, triggers notification when new volume-validated Order Block detected
Alert on FVG Formation – Default: On, sends alert when Fair Value Gap appears enabling quick response to imbalances
Alert on Break of Structure – Default: On, notifies when BOS or CHoCH confirmed
Alert on High Smart Money Score – Default: On, alerts when Smart Money Score crosses above 70 threshold indicating high-probability setup
✅Best Use Cases
Order Block Retest Entries – After Break of Structure, wait for price retrace into fresh bullish Order Block with Smart Money Score >70, enter long on zone reaction targeting next liquidity level
Fair Value Gap Retracement Trading – When price creates FVG during strong move then retraces, enter as price approaches unfilled gap expecting institutional orders to continue trend
Liquidity Sweep Reversals – Monitor price approaching swing high/low liquidity zones against prevailing Smart Money Score trend, after stop hunt sweep watch for rejection into premium Order Block/FVG
Multi-Timeframe Confluence Setups – Identify alignment when current timeframe Order Block coincides with higher timeframe FVG plus MTF analysis showing matching trend bias
Break of Structure Continuations – After BOS confirms trend direction, trade pullbacks to nearest Order Block or FVG in direction of structure break using Smart Money Score >70 as entry filter
Change of Character Reversal Plays – When CHoCH detected indicating potential reversal, look for Smart Money Score pivot with opposing Order Block formation then enter on structure confirmation
⚠️Limitations
Lagging Pivot Calculations – Pivot-based features (Liquidity Zones, Market Structure) require bars to right of pivot for confirmation, meaning these elements identify levels retrospectively with delay equal to lookback period
Whipsaw in Ranging Markets – During choppy conditions, Order Blocks fail frequently and structure breaks produce false signals as Smart Money Score fluctuates without clear institutional bias, best used in trending markets
Volume Data Dependency – Order Block volume validation requires accurate volume data which may be incomplete on Forex pairs or limited in crypto exchange feeds
Subjectivity in Scoring Weights – Proprietary 25-20-20-20-15 weighting reflects general institutional behavior but may not optimize for specific instruments or market regimes, user cannot adjust factor weights
Visual Complexity on Lower Timeframes – Sub-hour timeframes generate excessive zones creating cluttered charts, requires aggressive display limit reduction and higher minimum thresholds
No Fundamental Integration – Indicator analyzes purely technical price action and volume without incorporating economic events, news catalysts, or fundamental shifts that override technical levels
💡What Makes This Unique
Unified SMC Ecosystem – Unlike indicators displaying Order Blocks OR FVGs OR Liquidity separately, SMFI combines all three institutional concepts plus market structure into single cohesive system
Proprietary Confidence Scoring – Rather than manual setup assessment, automated Smart Money Score quantifies probability by weighting five institutional dimensions into actionable 0-100 rating
Volume-Filtered Quality – Eliminates weak Order Blocks forming without institutional volume confirmation, ensuring displayed zones represent genuine accumulation/distribution
Adaptive Lifecycle Management – Automatically updates mitigation status and removes aged zones preventing trades on dead levels through continuous validity and age monitoring
Educational Integration – Built-in tooltips, labeled zones, and reference panel make indicator functional for both learning Smart Money Concepts and executing strategies
🔬How It Works
Order Block Detection – Scans for patterns where strong directional move follows counter-move creating last down-candle before rally (bullish OB) or last up-candle before sell-off (bearish OB), validates formations only when candle exhibits volume exceeding configurable multiple (default 1.5x) of 20-bar average volume
Fair Value Gap Identification – Compares current candle’s high/low against two-candles-prior low/high to detect price imbalances, calculates gap size as percentage of close and filters micro-gaps below minimum threshold (default 0.3%), monitors whether subsequent price fills 50% triggering mitigation status
Liquidity Zone Mapping – Employs pivot detection using configurable lookback (default 50 bars) to identify swing highs/lows where retail stops cluster, extends horizontal reference lines from pivot creation and applies age-based filtering to remove stale zones
Market Structure Analysis – Tracks pivot progression using structure-specific lookback (default 5 bars) to determine trend, confirms uptrend when new pivot high exceeds previous by minimum move percentage, detects Break of Structure when price breaks recent pivot level, flags Change of Character for potential reversals
Multi-Timeframe Confluence – When enabled, requests security data from higher timeframe (current TF × HTF multiplier, default 4x), compares HTF close against HTF 20-period MA to determine bias, contributes ±50 points to score ensuring alignment with institutional positioning on superior timeframe
Smart Money Score Calculation – Evaluates Order Block component via ATR-normalized distance producing max 100-point contribution weighted at 25%, assesses FVG factor through age penalty and distance at 20% weight, calculates Liquidity proximity at 20%, incorporates structure bias (±50-100 points) at 20%, adds MTF component at 15%, applies 3-period smoothing to reduce volatility
Visual Rendering and Lifecycle – Draws Order Block boxes, Fair Value Gap rectangles with color coding (green/red active, gray mitigated), extends liquidity dashed lines with fade-by-age opacity, plots BOS labels, displays Smart Money Score dashboard, continuously updates checking mitigation conditions and removing elements exceeding age/display limits
💡Note:
The Smart Money Flow Index combines multiple Smart Money Concepts into unified institutional order flow analysis. For optimal results, use the Smart Money Score as confluence filter rather than standalone entry signal – scores above 70 indicate high-probability setups but should be combined with risk management, higher timeframe bias, and market regime understanding.
Volume Cluster Support and Resistance Levels [QuantAlgo]🟢 Overview
This indicator identifies statistically significant support and resistance levels through volume cluster analysis, isolating price zones characterized by elevated trading activity and institutional participation. By quantifying areas where volume concentration exceeded historical norms, it reveals price levels with demonstrated supply-demand imbalances that exhibit persistent influence on subsequent price action. The methodology is asset-agnostic and timeframe-independent, applicable across equities, cryptocurrencies, forex, and commodities from intraday to weekly intervals.
🟢 Key Features
1. Support and Resistance Levels
The indicator scans historical price data to identify bars where volume exceeds a user-defined threshold multiplier relative to the rolling average. For each qualifying bar, a representative price is calculated using the average of high, low, and close. Proximate price levels within a specified percentage range are then aggregated into discrete clusters using volume-weighted averaging, eliminating redundant signals. Clusters are ranked by cumulative volume to determine statistical significance. Finally, the indicator plots horizontal levels at each cluster price: support levels (green) below current price indicate zones where historical buying pressure exceeded selling pressure, while resistance levels (red) above current price mark zones where sellers historically dominated. These levels represent areas of established liquidity and price discovery, where institutional order flow previously concentrated.
The Touch Count (T) metric quantifies historical price interaction frequency, while Total Volume (TV) measures aggregate trading activity at each level, providing objective criteria for assessing level strength and trade execution decisions.
2. Volume Histogram
A histogram appears below the price chart, displaying relative volume for each bar within the lookback period, with bar height scaled to the maximum volume observed. Green bars represent up-periods (close > open) indicating buying pressure, while red bars show down-periods (close < open) indicating selling pressure. This visualization helps you confirm the validity of support/resistance levels by seeing where volume actually spiked, identify accumulation/distribution patterns, and validate breakouts by checking if they occur on above-average volume.
3. Built-in Alerts
Automated alerts trigger when price crosses below support levels or breaks above resistance levels, allowing you to monitor multiple assets without constant chart-watching.
4. Customizable Color Schemes
The indicator provides four preset color configurations (Classic, Aqua, Cosmic, Custom) optimized for visual clarity across different charting environments. Each scheme maintains consistent color mapping for support and resistance zones across both level lines and volume histogram components. The Custom configuration permits full color specification to accommodate individual charting setups, ensuring optimal visual contrast for extended analysis sessions.
Classic:
Aqua:
Cosmic:
Custom:
🟢 Pro Tips
→ Trade entry optimization: Execute long positions at support levels with high touch counts or upon confirmed resistance breakouts accompanied by above-average volume
→ Risk parameter definition: Position stop-loss orders near identified support/resistance zones with statistical significance to minimize premature exits
→ Breakout validation: Require volume confirmation exceeding historical average when price penetrates resistance to filter false breakouts
→ Level strength assessment: Prioritize levels with higher touch counts and total volume metrics for enhanced probability trade setups
→ Multi-timeframe confluence: Synthesize support/resistance levels across multiple timeframes to identify high-conviction zones where daily support aligns with 4-hour resistance structures
Oversold Screener · Webhook v3.3#Oversold Screener · Webhook v3.3
US Equities · 15-minute signals · AVWAP entries A–F · Optional CVD gate
## TL;DR
This indicator finds short-term, emotion-driven selloffs in large, liquid US stocks and pings your webhook with a compact alert (symbol + 15-minute close time).
It anchors an Event-AVWAP at the first qualified 15-minute bar after the selloff and proposes disciplined “right-side” entries (A–F) as price mean-reverts back through statistically defined bands. Optional macro fuses and CVD filters help avoid catching knives.
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## What it does
1. Universe filter (off-chart): You run this on constituents of S&P 500 / Nasdaq-100 / Nasdaq Golden Dragon (or your curated list of healthy companies).
2. Signal (Step-2): On the 15-minute timeframe—including extended hours—the script flags an “oversold event” when:
• Depth: Today’s drawdown vs yesterday’s RTH reference (min of yesterday’s VWAP and Close) is large.
• Relative: The stock underperforms both its market benchmark (e.g., SPY/QQQ) and its sector ETF over the same 16/32×15m windows.
• Macro fuses: If any of the following exceed thresholds, the signal is suppressed: VIX spike, market 16/32×15m selloff, sector 16/32×15m selloff.
• RSI guard: 1-hour RSI is below a configurable level (default 30).
• Cooldown: De-dupes repeated events; you won’t be spammed by the same name intraday.
3. Execution geometry: At the event bar’s close the indicator anchors an AVWAP calculated natively in 15m space and draws ±1σ/±2σ/±3σ bands from a rolling variance of typical price.
4. Entry proposals: It labels A–F entries when price regains key bands after first probing the lower ones (see below). Optional 15m CVD confirmation can be required.
5. Alerts: When the event closes, TradingView raises a single alert with a tiny JSON payload so your downstream AI/service can do the news check and decide.
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## Why this approach works
• Depth vs yesterday’s RTH reference targets “fresh” dislocations rather than slow trends.
• Relative filters ensure the stock fell much more than both the market and its sector, isolating idiosyncratic panic.
• AVWAP from the event bar approximates the market’s true average position after the shock; band reclaims are robust right-side confirmations.
• Optional CVD (delta volume) catches sell-side exhaustion and buy-side emergence without requiring a full order-book feed.
• Macro fuses (VIX / market / sector) avoid swimming against systemic stress.
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## Inputs (key)
Bench ETF / Sector ETF
Choose your market (SPY or QQQ) and sector ETF (XLK/XLF/XLY… or KWEB/CQQQ for China tech ADRs).
Depth & relative settings (15-minute space)
• Depth vs prior-day RTH reference: percentage thresholds for 16 and 32 bars.
• Relative to market & sector: underperformance thresholds over 16 and 32 bars.
Macro circuit breakers
• VIX max change (e.g., +8%/+12% over the session)
• Market max 16/32×15m selloff (e.g., −1.5% / −2.5%)
• Sector max 16/32×15m selloff (e.g., −2.0% / −3.0%)
If any one exceeds the limit, the signal is suppressed.
Momentum guard
• RSI(1h) < 30 (configurable).
AVWAP band engine (15m native)
• Bands: ±1σ / ±2σ / ±3σ with EMA smoothing and optional σ cap.
• Settling bars after anchor (default 1–3) to reduce immediate whipsaws.
Entry toggles
• Enable/disable A, B, C, D, E, F individually.
• Optional CVD gate (on/off), lookback window and reversal thresholds.
Housekeeping
• Debounce per ticker and per entry type.
• Entry window length (default 1 week) and per-type cap (show top 3 per event).
• Webhook on/off.
---
## Entries (A–F)
These are right-side confirmations; each requires first touching the prerequisite lower band before reclaiming a higher one.
A Touch ≤ −2σ, then cross up through −1σ (classic exhaustion → relief).
B Touch ≤ −1σ, then reclaim AVWAP (crowd average changes hands).
C Break −1σ up, retest near −1σ within N bars, then bounce (retest confirmation).
D After compression (low ATR%), reclaim AVWAP (coiled spring).
E Touch ≤ −2σ, then reclaim AVWAP after a base (deeper flush → stronger reclaim).
F Touch ≤ −3σ, then cross up through −1σ (capitulation → violent mean reversion).
Optional CVD gate (15m): require sell-pressure exhaustion and a CVD turn-up before validating entries. Defaults are conservative so that A/F remain the highest-quality.
---
## Alert payload (minimal by design)
On event close, one alert is fired with a tiny JSON:
{
"event": "step2_signal",
"symbol": "TSLA",
"ts_15m_ms": 1730879700000
}
Use “Once per bar close” and the 15-minute chart. Your webhook receiver can enrich with fundamentals/news and decide Allow / Hold / Reject, then monitor A–F entries for execution.
---
## How to use
1. Run on your 15-minute chart with extended session enabled.
2. Create one alert per chart (or use TradingView’s multi-chart / watchlist alerts if you have Pro+).
3. Your backend ingests the minimal payload, fetches news and fundamentals, and returns a decision.
4. For Allowed names, watch the on-chart A–F labels; scale in across levels, scale out into upper HVNs/POC or AVWAP give-back.
---
## Defaults that work well
• RSI(1h) < 30
• Depth vs yesterday’s RTH ref: ≤ −4% (16 bars), ≤ −6% (32 bars)
• Relative to market/sector: ≤ −3% (16 bars), ≤ −4% (32 bars)
• Macro fuses: VIX day change ≤ +10%; market ≤ −2.0% / −3.0%; sector ≤ −2.5% / −3.5%
• AVWAP bands: EMA(σ)=3; σ cap off; settle ≥ 1 bar
• CVD gate off initially; enable after you’re comfortable with its behavior.
---
## Notes & limitations
• Indicator, not a strategy: it proposes event points and entries; position sizing and exits are up to you.
• Designed for US equities with ample liquidity; thin names will be noisy.
• Repainting: AVWAP and bands are anchored and do not repaint; entries are evaluated on bar close.
• To keep charts readable, we limit entry labels to the first three occurrences per type within the one-week window.
---
## What’s new in v3.3
• 15-minute event engine (always 15m, independent of the chart you view).
• Depth measured vs yesterday’s RTH VWAP/CLOSE (the lower of the two).
• Removed structure-health (SMA50 coverage) and MA50/200 position checks.
• Macro circuit breakers: VIX + market + sector thresholds; any one trips a fuse.
• RSI guard moved to 1-hour.
• AVWAP bands include ±3σ and new Entry F (−3σ → −1σ reclaim).
• Optional 15m CVD gate for entries.
• Minimal webhook payload for fast downstream AI checks.
• Debounce + entry-window caps to prevent over-labeling and to focus the week after the event.
• Numerous performance and stability tweaks in the 15m security sandbox.
---
## Disclaimer
This is a research tool. It does not constitute investment advice. Test in Replay first, start with small size, and respect your risk.
Crash Stats 15m (ETH) — X% | prev RTH min(VWAP, Close)# Crash Stats 15m (ETH) — X% Drawdown Event Analyzer
A 15-minute indicator that scans up to the last 5 years to find **crash events** where the close falls by at least **X%** relative to the **lower of** the prior day’s **RTH VWAP** and **RTH close**. It then measures recovery and follow-through behavior, tags the market regime around each event, and summarizes everything in a table.
---
## What the script detects
**Crash event (trigger):**
* On a 15-minute bar, `close <= refPrice * (1 - X%)`.
* `refPrice = min(previous RTH VWAP, previous RTH close)`.
* First touch only: subsequent bars below the threshold on the same trading day are ignored.
* Extended hours (ETH) are supported; if ETH is off, the script safely infers the previous RTH reference.
**Per-event measurements**
1. **Time to “turn up”** – first close **above the event-anchored AVWAP** (AVWAP cumulated from the trigger bar onward).
2. **Time to recover the reference price** – first close ≥ `refPrice`.
3. **Time to recover Y% above the crash-day average price** – first close ≥ `crashDayVWAP * (1+Y%)`.
4. **Post-crash lowest price & timing** – the lowest low and how long after the event it occurs, within a user-defined horizon (default 10 trading days, approximated in calendar days).
5. **Intraday RTH low timing** – on the crash day’s RTH session, when did the day’s intraday low occur, and **was it on the first 15-minute bar**?
6. **First 15-minute low of the RTH day** – recorded for context.
All durations are shown as **D days H hours M minutes**.
---
## Regime tagging (A / B)
For each event the script classifies the surrounding trend using daily closes:
* Let `r6m = (prevClose – close_6mAgo) / close_6mAgo`,
`r12m = (prevClose – close_12mAgo) / close_12mAgo`.
* **A**: both `r6m > 0` and `r12m > 0` (uptrend across 6m & 12m).
* **B**: one positive, one negative, and `r6m + r12m ≥ 0` (mixed but net non-negative).
* Otherwise: **—**.
This helps separate selloffs in strong uptrends (A) from mixed regimes (B) and others.
---
## Inputs
* **X — Crash threshold (%)**: default 5.
* **Y — Recovery above crash-day average (%)**: default 5.
* **Lookback years**: default 5 (bounded by data availability).
* **Horizon for post-crash lowest (trading days)**: default 10 (approximated as calendar days).
* **RTH session**: default `09:30–16:00` (exchange timezone).
* **Show markers**: plot labels on triggers.
* **Rows to display**: last N events in the table.
---
## Table columns
* Index, **Trigger time**, **Drop %**, **Ref price**, **Regime (A/B/—)**
* **Time to turn up** (above anchored AVWAP)
* **Time to ref price**, **Time to day VWAP + Y%**
* **Window lowest price**, **Time to window low**
* **RTH first-15m low**, **RTH lowest time**, **Was RTH low on first 15m?**
* **Crash-day VWAP**
---
## How to use
1. **Set chart to 15-minute** and **enable extended hours** for equities (recommended).
2. Keep defaults (**X=5%, Y=5%**) to start; tighten to 3–4% for more frequent events on less volatile symbols.
3. For non-US symbols or futures, adjust the **RTH session** if needed.
4. Read the table (top-right) for per-event diagnostics and aggregate averages (bottom row).
---
## Notes & implementation details
* Works whether ETH is on or off. If ETH is off, the script back-fills “previous RTH” references at the next RTH open and uses the prior daily close as a fallback.
* The “turn up” definition uses **event-anchored AVWAP**, a robust, price–volume anchor widely used for post-shock mean reversion analysis.
* Events are **de-duplicated**: only one event per trading day (per target RTH cycle).
* Lookback is limited by your plan and the data vendor. The script requests deep history (`max_bars_back=50000`), but availability varies by symbol.
* Durations use minute precision and are rendered as **days–hours–minutes** for readability.
---
## Quick troubleshooting
* **No events found**: lower **X%**, enable **ETH**, or ensure sufficient history is loaded (scroll back, or briefly switch to a higher timeframe to force deeper backfill, then return to 15m).
* **RTH boundaries off**: check the **RTH session** input matches the venue.
* **Few rows in table**: increase **Rows to display**.
---
## Typical use cases
* Back-test how fast different symbols tend to stabilize after a sharp gap-down or intraday shock.
* Compare recovery behavior across regimes **A / B** for sizing and risk timing.
* Build playbooks: e.g., if the RTH low occurs on the first 15m bar X% of the time, plan entries accordingly.
---
## Changelog
* **v1.0**: Initial public release with crash detection, anchored-AVWAP reversal, reference & VWAP+Y recovery timers, regime tagging, window-low timing, RTH low timing, and first-15m low capture.
Double Grid + Auto Countdown Timer (Stable v6.1)Adjustable grid indicator with two levels and bar countdown timer fully adjustable.
Pump & Dump Detector v6Overview:
The Pump & Dump Detector v6 is a powerful TradingView indicator designed to identify rapid bullish (pump) or bearish (dump) price movements in real time. By combining Rate of Change (ROC), candle volatility, and volume analysis, this indicator highlights extreme market moves that could indicate momentum spikes, retail-driven activity, or potential manipulations.
Key Features:
ROC-Based Detection: Detects strong upward or downward price momentum over a configurable period.
Volume Confirmation: Filters signals based on volume exceeding a simple moving average, reducing false alerts.
Customizable Candle Filters: Ensures signals are triggered only when the candle shows meaningful movement.
Visual Alerts: Displays clear green (pump) and red (dump) markers on the chart with customizable size.
Real-Time Alerts: Sends instant notifications when pump or dump conditions are met, once per bar.
User-Friendly Inputs: Adjust ROC length, thresholds, minimum candle move, and volume MA length to fit your trading style.
Community-Oriented: As a trader and software professional, I noticed that most pump/dump indicators are restricted access. I developed this indicator to be free for all, helping the trading community.
How to Use:
Green triangle below the bar → Pump detected; consider bullish setups.
Red triangle above the bar → Dump detected; consider bearish setups.
Use in conjunction with other technical analysis tools for confirmation.
Alerts can be used for automated notifications or trading strategies.
Why It’s Useful:
This indicator saves time and enhances decision-making by spotting extreme price moves early, giving traders an edge in volatile markets. Ideal for intraday, swing, and crypto traders looking to capitalize on sudden momentum shifts.
SMT + CVD (NQ vs ES) w/ AlertsSMT + CVD (NQ vs ES) w/ Alerts
This tool combines Smart Money Technique (SMT) and Cumulative Volume Delta (CVD) to highlight high-probability inflection points on NQ (primary) versus ES (secondary).
How it works
SMT condition: the primary breaks its most recent swing (High for bearish / Low for bullish) while the secondary does not break the corresponding swing within a small retest window.
CVD confirmation: at the same time, the primary’s CVD shows divergence (higher price but lower/equal CVD for shorts, lower price but higher/equal CVD for longs).
When both align, the script plots a marker/label and draws a line from the primary swing to the signal bar. Alerts are fired.
Signals & Alerts
Labels: “SMT+CVD DOWN/UP” on the signal bar.
Lines: connects the primary swing → signal bar so you can see the structure that produced the signal.
Alert names: “SMT+CVD Bearish” and “SMT+CVD Bullish.”
Inputs
Primary / Secondary symbols: defaults NQ & ES (you can change them).
Resolution: use chart timeframe or specify one.
Swing Left/Right Bars: pivot detection depth (higher = larger swings).
Break Window Bars: how many bars the secondary has to not break for SMT to be valid.
CVD Up/Down By: Close vs Previous Close (default) or Close vs Open.
Anchor CVD Daily: resets CVD at session/day start.
CVD Smoothing (EMA): smooths the CVD line (optional show).
FAST Pivots (no future bars): left-only swing detection so signals appear sooner and behave well in Replay/live.
Require Secondary Pivot: if ON, SMT checks wait for a confirmed secondary swing; if OFF, signals can appear while the secondary swing is still forming (useful for Replay/testing).
Show CVD line: optional, may compress price scale.
Non-repaint notes
With FAST Pivots ON, swings are detected with no future bars (minimal latency = leftBars).
With FAST Pivots OFF, standard pivots require rightBars future bars to confirm the swing (classic, but naturally delayed).
Tips
For intraday futures, keep leftBars/rightBars small (e.g., 3/3) and Break Window 1–3.
In Replay, enable FAST Pivots and consider disabling Require Secondary Pivot if you want signals to appear as soon as the primary breaks.
Combine with session filters, execution rules, or liquidity zones for context.
DD RatioThe DD Ratio (“Directional Distribution Ratio”) is a breadth indicator that shows, in real time, how many of the selected stocks (e.g., S&P 500 components) are bullish vs. bearish relative to today’s open.
The DD Ratio tells you what’s really happening under the hood of the index:
Futures may mislead: An index future (like ES or NQ) can rise on a few heavy-weighted stocks even while most components fall.
The DD Ratio exposes that divergence.
Breadth confirmation: When the futures are up and DD Ratio ≥ 0.5 → healthy rally.
When futures are up but DD Ratio < 0.5 → weak, narrow advance.
Intraday sentiment gauge: It updates live with each bar, reflecting “who’s winning” since the open.
Simple EMA Cloud 20/50Shades the area between the 20 and 50 EMAs.
That's all it does, but combined with other indicators like the MACD, it gives you clear indications of entries and exits.
AND, it has no calories. What more could you ask for?
Buy on Blue, Sell on Red (EMA + optional RSI) TyusEThis indicator is a trend-following system that helps traders identify potential buy and sell opportunities using a combination of EMA crossovers and an optional RSI filter for confirmation.
It plots:
🔵 Blue dots (BUY signals) when the fast EMA crosses above the slow EMA — signaling bullish momentum.
🔴 Red dots (SELL signals) when the fast EMA crosses below the slow EMA — signaling bearish momentum.
You can optionally filter these signals using the RSI (Relative Strength Index) to avoid false breakouts — for example, only taking BUY signals when RSI is above 55 (showing strength) and SELL signals when RSI is below 45 (showing weakness).
⚙️ Features
Adjustable Fast EMA and Slow EMA lengths
Optional RSI confirmation filter
Customizable RSI thresholds for entries
“Confirm on bar close” setting to reduce repainting
Built-in alert conditions for real-time notifications
💡 How to Use
Use blue dots as potential long entries and red dots as potential short entries.
Confirm direction with overall trend, structure, or higher timeframe alignment.
Combine with support/resistance, volume, or price action for best results.
⚠️ Note
This is a technical tool, not financial advice. Always backtest and use proper risk management before trading live markets.
T.E
OpenVWAP Stop-Hunt Short – v6 (failsafe) ZorzOpenVWAP Stop-Hunt Short (Micro/Nano Caps)
Intraday short framework for low-float gappers (NASDAQ/NYSE), optimized for 1m (optional 15s). The script anchors VWAP to Premarket and Regular sessions, tracks PM High (PM HOD) and Open VWAP, and flags liquidity grabs.
Signal logic
SHORT when a stop-hunt above PM HOD or an Open VWAP fakeout occurs and the bar closes below Open VWAP (optional confirmation: crossunder VWMA*0.985 “long50”).
CLOSE when price reclaims Open VWAP or crosses above long50.
Inputs
Min wick%, volume spike vs SMA20, range vs ATR(1)
No-trade bars after the open (filters first noisy minutes)
Toggle ACW confirmation (VWMA*0.985)
Notes
Turn Extended Hours ON; session times are ET.
Best on micro/nano-cap gappers with high PM volume; supports alerts (“Open Short”, “Close Short”).
For research/education only; not financial advice.
All-in-One EMA/SMA Indicator 5 EMA + 10 EMA + 20 EMA + 50 SMA + 200 SMA
All important moving averages at one place with required modification capabilities
Aibuyzone Elliott Wave SuiteOverview
This study approximates Elliott-style wave structure using swing pivots. It labels primary waves (1–5), tracks subwaves (1–5) inside them, and plots future projection bands derived from the size of a recent primary leg. A small floating dashboard summarizes the current wave number, bias (bullish/bearish) based on the last leg, and a projection price range.
Note: This tool is educational. Wave detection is algorithmic and approximate; it does not identify textbook Elliott patterns or validate rule sets. Manage risk independently.
What it draws
Primary wave labels (1–5): Based on higher swing length pivots (major turns).
Subwave labels (1–5): Based on shorter swing length pivots (minor turns).
Zigzag connectors: Simple lines between the latest primary pivots for structure visualization.
Projection bands: Three dotted horizontal levels forward from the last primary pivot, using user-defined extension multipliers.
Floating dashboard:
Current Wave: Latest primary wave count (1–5).
Bias: “Bullish Leg” (last pivot was a low) or “Bearish Leg” (last pivot was a high), or “Unknown” if insufficient data.
Proj Range: Min–max of the three projection levels.
Key Inputs
Swing Structure
Primary Swing Length: Pivot left/right bars for major swings. Larger values = fewer, cleaner waves.
Subwave Swing Length: Pivot left/right bars for minor swings. Smaller values = more frequent subwave labels.
Max Saved Swing Points: Memory limit to prevent clutter.
Future Projections
Show Projection Levels: Toggle projection lines on/off.
Use Last Nth Leg For Size: Which recent primary leg to use for measuring projection distance (1 = most recent).
Extension 1 / 2 / 3: Multipliers applied to the measured leg (e.g., 1.0, 1.618, 2.0).
Style
Colors and text sizes for primary and subwave labels, and projection lines.
Dashboard
Show Dashboard: Toggle table on/off.
Dashboard Position: Top-Left / Top-Right / Bottom-Left / Bottom-Right.
How projections are computed
The script measures the price distance of a recent primary leg (from pivot A to pivot B).
If the last pivot is a low, projections extend upward; if the last pivot is a high, projections extend downward.
The three extension inputs (e.g., 1.0 / 1.618 / 2.0) are applied to that leg distance to create dotted forward levels.
The dashboard’s Proj Range displays the min–max of those three levels.
Using the study (suggested workflow)
Choose timeframe appropriate for your style (e.g., higher timeframes for cleaner structure; lower timeframes for detail).
Tune swing lengths:
Increase Primary Swing Length on noisy charts to stabilize wave counts.
Adjust Subwave Swing Length to reveal or simplify internal moves.
Read the dashboard:
Current Wave shows where the latest primary count sits (1–5).
Bias summarizes the direction of the last measured leg only; it is not a trend system.
Proj Range offers a coarse price band derived from your extensions.
Context check: Combine wave labeling with your own market context (trend, structure, volatility) before making decisions.
Risk management: Use your own stop/target methods. The projection lines are not signals.
Practical tips
Clutter control: If labels overlap on volatile symbols, try larger swing lengths or reduce label text sizes in Style.
Scaling: On very small tick sizes, increasing the internal label price offset can improve label readability.
Projection sensitivity: Changing Use Last Nth Leg can materially alter levels; confirm they match your intent.
Non-determinism across timeframes: Different timeframes and symbols will produce different pivot sequences and counts.
Limitations & important notes
Approximation: This does not enforce all Elliott rules (e.g., alternation, wave 4 overlap constraints, channeling). It only labels swings numerically.
Repainting of labels: Pivot-based waves confirm after enough bars have printed to the right of a high/low. Labels are placed when pivots confirm; they don’t predict pivots.
Not a signal generator: No entries/exits/alerts are included; add your own trade plan and risk controls.
Data sufficiency: Early bars or sparse data may show “Unknown” bias or “N/A” projections until adequate pivots exist.
Clean-chart publishing guidance (to stay compliant)
Use a chart that clearly shows this script’s outputs without unrelated indicators.
Keep the description educational. Avoid performance claims, guarantees, or language implying certainty.
Do not include links, promotions, prices, giveaways, contact details, or solicitations.
Disclose that labels and projections are algorithmic approximations and for educational use.
Risk disclosure
This script is for educational purposes only. It does not provide financial, investment, or trading advice and does not guarantee outcomes. Markets involve risk, including the potential loss of capital. Always do your own research and use independent judgment.
Aibuyzone Spot & Swing ZonesAibuyzone Spot & Swing Zones is a technical tool that helps identify potential buy zones during established bullish trends.
It is designed for spot and swing traders who prefer to buy pullbacks within broader uptrends.
This indicator does not place trades or make predictions — it only highlights contextual market areas for study.
How It Works
Trend Alignment Filter
A higher-timeframe EMA and two local EMAs determine trend direction.
Only when both the local and higher-timeframe trends agree as bullish will a potential buy zone be considered valid.
Dynamic Buy Zone (Value Area)
The indicator measures a rolling price range over a user-selected number of bars (e.g., last 50).
The lower fraction of this range (configurable percentage) becomes the buy zone band.
When price revisits this lower section during a bullish trend, it is interpreted as a potential value or discount area.
Liquidity Sweep Filter (Optional)
Detects bars that make a new low relative to recent candles and then close back up with a strong lower wick.
This condition can indicate a possible liquidity grab or stop-hunt event that precedes reversals.
RSI Pullback Filter (Optional)
Confirms that price momentum has cooled during the pullback phase.
Signals occur when RSI falls within a defined “pullback” zone (default 30–55), helping avoid chasing overextended moves.
Confluence Scoring
Each of the three criteria — buy zone presence, liquidity sweep, RSI pullback — adds one point to a confluence score.
A signal only appears when the score meets or exceeds the chosen threshold (for example, 2 of 3).
Visual Elements
Fast and Slow EMAs for short-term trend visualization.
A shaded area marking the dynamic buy zone.
Optional background tint when the overall trend is bullish.
Optional labels below bars when confluence criteria are met.
Alert condition available for custom user alerts.
Suggested Use
Select a higher timeframe that fits your trading horizon (e.g., 4h for swing, 1d for position trading).
Use the shaded band as a visual guide for where price may offer “discounts” within an uptrend.
Combine with support/resistance, volume, or other confluence methods for confirmation.
Adjust the confluence requirement for stricter or looser signals.
Disclaimer
This script is provided for educational and analytical purposes only.
It does not constitute financial advice or a recommendation to buy or sell any asset.
All trading involves risk — always perform your own analysis and manage risk according to your own judgment.
MTF Supertrend + MA [TCMaster]Overview:
The MTF Supertrend + MA indicator combines two powerful multi-timeframe tools — the Supertrend and Moving Averages (MA) — into one unified and customizable framework. It allows traders to analyze market trends and dynamic support/resistance levels from multiple higher timeframes directly on a single chart.
⚙️ Features
🟩 Supertrend Section
Up to 4 configurable Supertrends, each from a different timeframe.
Adjustable ATR Length and Multiplier (Factor).
Independent visibility, colors, and timeframes for each layer.
Built-in alert conditions for trend reversals (Uptrend ↔ Downtrend).
Clean visual overlay on price chart.
🟦 Moving Average (MA) Section
Up to 4 multi-timeframe MAs displayed simultaneously.
Supports multiple MA types:
SMA, EMA, WMA, RMA, HMA, VWMA, DEMA, TEMA.
Independent control for each MA: color, line width, and timeframe.
Dynamic Info Label displaying distance between price and each MA in real-time.
Smooth, accurate MTF synchronization (no repainting from lookahead).
💡 How to Use
Identify higher-timeframe trend direction using Supertrend signals.
Use MAs as dynamic support/resistance or mean reversion zones.
Combine both for multi-timeframe confluence trading:
e.g., look for long entries when lower TF Supertrend turns bullish and price is above higher TF MAs.
Set alerts to get notified when any Supertrend flips its direction.
🧩 Customization
All parameters are grouped into two sections for clarity:
Supertrend Settings
MA Settings
Fully compatible with all chart types and timeframes.
⚠️ Notes
This indicator is designed for visual multi-timeframe analysis, not for automation.
Alerts only trigger when the corresponding timeframe bar closes.
Ensure replay mode or real-time conditions to verify alert behavior.
