Log-Returns Anomaliad Z-score + VolatilidadLog-Returns: Anomalías (Z-score + Volatilidad)
Log-Returns: Anomalies (Z-score Volatility) This is the mathematically correct way to measure the price change between two periods
Волатильность
Institutional ROC + Z-Score HeatmapInstitutional ROC + Z-Score Heatmap
Identifies statistically significant daily price moves by calculating the z-score of the rate of change (ROC) against a configurable historical lookback period. Designed for cross-asset regime monitoring and volatility detection.
How it works:
Calculates the daily percentage change (ROC)
Compares that move to the historical distribution of daily moves
Expresses the result as a z-score (standard deviations from the mean)
Color coding:
Teal: Extreme positive move (>3σ) — rare upside, potential blowoff top
Red: Extreme negative move (<-3σ) — rare downside, potential capitulation
Orange/Lime: Warning zone (2-3σ) — unusual but not extreme
Gray: Normal volatility — nothing actionable
Use cases:
Identify regime shifts across asset classes (equities, crypto, commodities)
Spot potential mean-reversion setups after extreme moves
Monitor cross-asset risk appetite (BTC, XBI, SPY) for tactical hedging signals
Recommended settings:
ROC Length: 1 (daily moves)
Lookback: 252 (1 year) for stable assets, 60-90 for volatile biotech
1D % Change (Histogram)1D % Change Histogram (Daily-Anchored)
Description
This indicator plots the 1-day percent change as a histogram above/below the zero line.
It includes 3 calculation modes:
• Last vs Prev Close: compares the latest available price to the prior daily close (useful for an “in-progress” daily change on intraday charts).
• Close vs Prev Close: classic daily close-to-close change (stable per day).
• Close vs Open: session move for the day (open-to-close).
The logic is anchored to the Daily timeframe, so you can view it on 5m/15m/1H charts while keeping a consistent “1D” reference.
How to use:
• Want a live-updating read on intraday charts? Use Last vs Prev Close.
• Want clean day-by-day comparisons? Use Close vs Prev Close.
• Want a session “push” metric? Use Close vs Open.
Notes
• Green bars when value is ≥ 0, red bars when < 0.
• Optional zero line and last-value tag.
• Can run on the chart symbol or a user-selected symbol.
Limitations
• Different data feeds may define “price” differently (last/close/settle), so values can vary across providers.
• In Last vs Prev Close mode the value updates intraday (expected behavior).
Disclaimer
This script is for educational and informational purposes only.
It is not financial advice and does not provide buy/sell signals or entry/exit recommendations.
Use at your own risk and always verify with your own data.
Quantitative Trend and Sector DashboardQuantitative Trend and Sector Dashboard
Overview
The QTS Dashboard is a visual market context tool that summarizes relative strength, benchmark comparison, volatility normalization, and sector participation in a compact on-chart display.
It is designed for analysis and situational awareness rather than trading signals or automated decisions.
What makes it different
Most relative strength tools compare symbols only to a broad index.
This dashboard automatically assigns a relevant sector or industry benchmark based on ticker membership, enabling like-for-like comparison with similar instruments.
The result is a multi-factor view of trend participation rather than a single metric.
Core components
• Benchmark Detection
Maps symbols to sector or industry ETFs to improve comparison relevance.
• Beta Normalization (252 bars)
Beta is calculated using covariance and variance to scale thresholds according to typical volatility.
• Dual Range Tracking
Measures distance from 52-week highs and lows to show position within the yearly cycle.
• Sector Participation Scan
Evaluates major SPDR sectors and lists those currently meeting configurable strength criteria.
• ATR Extension
Quantifies price distance from midpoint using ATR to highlight statistically extended moves.
Math summary
• Relative Spread = Benchmark %BelowHigh − Symbol %BelowHigh
• Beta = Covariance / Variance
• Adjusted Threshold = Base × Beta
• Extension = (Price − Midpoint) / ATR
All calculations use confirmed bars. No intentional repaint logic.
Status states
• Leader — stronger relative performance
• Neutral — in line with benchmark
• Lagging — weaker relative performance
• Extended — large volatility stretch
States describe context only.
How to use
• Compare Spread and Beta for relative positioning
• Monitor sector list for participation breadth
• Use extension values to gauge stretch conditions
• Adjust timeframe and thresholds to match your workflow
• Show, hide, or reposition the dashboard as needed
Example charts
Disclaimer
Educational and informational only.
This indicator does not provide buy or sell signals or investment advice.
Trading involves risk.
Ornstein Uhlenbeck Z score1 ORNSTEIN–UHLENBECK Z-SCORE (SPREAD)
This is the main indicator of the series and is typically placed in a separate lower panel.
WHAT IT DOES
The indicator builds a spread between two assets and evaluates how far the current spread is from its long-term equilibrium.
The result is expressed as a Z-score based on an Ornstein–Uhlenbeck type mean-reverting process.
HOW IT WORKS
• The user selects a second asset in the settings
• A spread between the two assets is calculated (price difference or log price spread)
• The spread is modeled as a mean-reverting process over a rolling window
• A Z-score is calculated to measure deviation from equilibrium
Trading signals are generated when the Z-score reaches extreme values and exits when it returns to equilibrium.
HOW TO USE
This indicator does NOT generate signals to buy or sell a single asset.
It generates signals for a paired, hedged position.
• Long signal means long the first asset and short the second
• Short signal means short the first asset and long the second
The trader is always trading the spread, not the market direction.
RECOMMENDED TO USE WITH
• OU Signals Overlay for visualizing trades on the main chart
• Correlation Stability indicator to filter weak or unstable pairs
Street Sweeper 2.0im Honestly Speechless. Countless nights went into this just go follow my Youtube @ Boripips
Channel and go show some Love.
stelaraX - Keltner ChannelstelaraX – Keltner Channel
stelaraX – Keltner Channel is a volatility-based price channel indicator that combines an exponential moving average with the Average True Range to define dynamic upper and lower boundaries around price. The indicator is designed to highlight trend direction, volatility expansion, and potential breakout or mean reversion zones.
For advanced AI-based chart analysis and automated volatility interpretation, visit stelarax.com
Core logic
The indicator calculates the Keltner Channel using three components:
* an exponential moving average as the central basis line
* an upper band defined as EMA plus a multiple of ATR
* a lower band defined as EMA minus a multiple of ATR
Both the EMA period and ATR period are user-configurable, as well as the ATR multiplier, allowing precise control over channel width and sensitivity.
Visualization
The script plots:
* the EMA basis line
* the upper Keltner Channel band
* the lower Keltner Channel band
The area between the upper and lower bands can be filled with a semi-transparent color to clearly visualize the active volatility range. All colors are fully customizable for clean chart integration.
Use case
This indicator is intended for:
* trend-following and channel-based strategies
* identifying volatility expansion and contraction
* breakout and pullback analysis
* dynamic support and resistance evaluation
* combining volatility with trend direction
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - ATRstelaraX – ATR
stelaraX – ATR is a volatility indicator based on the Average True Range (ATR). It measures the average price movement over a defined period and provides a clear view of current market volatility independent of price direction.
For advanced AI-based chart analysis and automated volatility evaluation, visit stelarax.com
Core logic
The indicator calculates the Average True Range using a user-defined period.
ATR is derived from the true range, which considers:
* current high minus current low
* absolute difference between current high and previous close
* absolute difference between current low and previous close
The ATR value reflects the average volatility over the selected lookback window.
Visualization
The script plots a single ATR line in a separate indicator pane:
* smooth volatility line
* configurable period length
* customizable line color
* clean and minimal visual design
The indicator does not generate signals and is intended purely for volatility assessment.
Use case
This indicator is intended for:
* measuring market volatility
* defining dynamic stop loss and take profit distances
* position sizing and risk management
* identifying volatility expansion or contraction
* filtering trades based on market conditions
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Mean Absolute Error | Lyro RSOverview
This indicator is a closed-source, invite-only analytical framework built around Mean Absolute Error as a way to measure market dispersion, pressure, and structural imbalance. Instead of treating price movement purely as direction or momentum, it evaluates how far price deviates from its evolving reference state and converts that deviation into actionable contextual signals. The indicator is modular by design, allowing traders to analyze continuation, strength, and valuation through multiple coordinated modes without switching tools.
Originality
The originality of this indicator comes from how Mean Absolute Error is used as a core market metric rather than a secondary statistical output. MAE is not treated as a passive volatility measure; it becomes an active signal driver that adapts to trend persistence, internal strength, and exhaustion. By combining MAE-weighted price behavior, directional counting logic, and stochastic normalization, the script creates a multi-perspective model that differs fundamentally from traditional volatility bands, oscillators, or momentum indicators.
Modes
The indicator operates through three distinct modes, each producing signals using a different interpretation of MAE-based behavior:
Cloud mode
Signals are generated when price expands beyond adaptive MAE-derived envelopes, highlighting directional continuation and structural break conditions.
For Loop mode
Signals are generated by evaluating directional dominance over a configurable historical window, focusing on sustained pressure rather than single-bar events.
StochTrend mode
Signals are generated through a normalized trend oscillator built from MAE-weighted price, emphasizing trend alignment, valuation zones, and divergence behavior.
Methodology
The script is built around the concept that meaningful market information is found in how price deviates from its own adaptive baseline, not simply in price direction alone. To achieve this, the indicator constructs internal reference structures and evaluates price behavior relative to them across multiple layers.
The core framework can be understood through the following conceptual components:
An adaptive benchmark that represents the evolving reference state of price using selectable smoothing models.
A Mean Absolute Error engine that measures average deviation from the benchmark and scales dynamically with market conditions.
A directional persistence model that evaluates how consistently price favors one side of its historical range over time.
A normalization layer that converts MAE-weighted behavior into bounded trend and valuation signals.
A state-based visualization system that reflects regime changes, strength shifts, and imbalance conditions rather than isolated signals.
Traders interact with the indicator by selecting a mode that aligns with their objective. Cloud mode is typically used to frame continuation and expansion phases, For Loop mode emphasizes internal strength and dominance, and StochTrend mode focuses on trend alignment, valuation extremes, and divergence context. The indicator is intended to be read as a state model, where color, position, and transitions matter more than any single plotted value.
Why this works
This methodology works because it evaluates price action relative to its own adaptive error structure, allowing the indicator to remain context-aware across changing volatility and regime conditions.
Summary
This protected, invite-only indicator provides a structured and original approach to market analysis by transforming Mean Absolute Error into a multi-functional analytical engine. Through its modular modes, traders can assess continuation, internal strength, trend alignment, valuation extremes, and divergence within one coherent framework. The script emphasizes contextual interpretation and regime awareness while intentionally abstracting its internal mechanics.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
stelaraX - Donchian ChannelstelaraX – Donchian Channel
stelaraX – Donchian Channel is a classic price channel indicator designed to track market extremes over a defined lookback period. The indicator highlights the highest high and lowest low, providing a clear view of price range, breakout levels, and trend strength.
For advanced AI-based chart analysis and automated range interpretation, visit stelarax.com
Core logic
The indicator calculates the Donchian Channel using a user-defined period:
* upper band represents the highest high over the selected period
* lower band represents the lowest low over the selected period
* middle line represents the midpoint between upper and lower bands
This structure allows traders to quickly identify range boundaries and directional bias.
Visualization
The script plots:
* the upper Donchian Channel line
* the lower Donchian Channel line
* a central midpoint line
The area between the upper and lower bands can be filled with a semi-transparent color to clearly visualize the active trading range. All colors are fully customizable.
Use case
This indicator is intended for:
* breakout and trend-following strategies
* identifying support and resistance ranges
* volatility and range expansion analysis
* channel-based trade management
* multi-timeframe range evaluation
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - Bollinger BandsstelaraX – Bollinger Bands
stelaraX – Bollinger Bands is a classic volatility-based indicator designed to visualize price dispersion around a moving average. The script plots the Bollinger Bands directly on the chart, allowing traders to assess volatility, potential mean reversion zones, and dynamic support and resistance levels.
For advanced AI-based chart analysis and automated volatility interpretation, visit stelarax.com
Core logic
The indicator calculates Bollinger Bands using three core components:
* a simple moving average as the basis line
* an upper band calculated by adding a multiple of standard deviation
* a lower band calculated by subtracting a multiple of standard deviation
The period length and standard deviation multiplier are fully configurable, allowing adaptation to different markets and timeframes.
Visualization
The script plots:
* the basis moving average line
* the upper Bollinger Band
* the lower Bollinger Band
The area between the upper and lower bands can be filled with a semi-transparent color to clearly highlight the active volatility range. All colors are customizable for optimal chart integration.
Use case
This indicator is intended for:
* volatility analysis and expansion or contraction detection
* identifying overextended price conditions
* mean reversion and breakout strategies
* dynamic support and resistance analysis
* multi-timeframe volatility assessment
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
LeXa LeXa is a quantitative trading algorithm designed to filter market noise and identify high-probability trend reversals. Unlike standard indicators, LeXa incorporates a Jensen's Alpha logic to compare the asset's performance against a Benchmark (e.g., Index) and Risk-Free Rate.
Key Features:
Alpha Calculation: Filters out assets that underperform the benchmark.
Dynamic Trendlines: Uses ATR-based logic to determine trend direction.
Smart Exit: Provides dynamic trailing stop levels to protect profits.
Disclaimer: This tool is for educational and analytical purposes only. Not financial advice.
Macro by TURTLE TVICT Macro Time Windows Indicator
This indicator automatically highlights the 5 key ICT (Inner Circle Trader) macro periods where institutional algorithmic activity is highest. Perfect for traders using Smart Money Concepts and ICT methodology.
Features:
Visual background shading during active macro windows
Clear labels marking the start of each macro period
Toggle each macro window on/off individually
Customizable colors for backgrounds and text
Multi-timezone support (NY, London, Tokyo, UTC)
Small indicator dots at chart top for quick reference
The 5 Macro Windows (New York Time):
02:33-03:00 - Asian Session Macro
08:50-09:10 - London Open Macro
09:50-10:10 - London Macro
10:50-11:10 - New York AM Macro
14:50-15:10 - New York PM Macro
How to Use:
Add indicator to your chart
Adjust timezone in settings to match your preference
Enable/disable specific macro windows as needed
Customize colors to match your chart theme
These macro periods typically see increased volatility and liquidity sweeps, making them prime times for price reversals and manipulation moves. Use alongside your ICT strategy for optimal timing.
MACD (Standard) + ATR BoxJust a MACD with a ATR values box so no need for wasting a standalone indicator just for the ATR value. You can also calculate the ATR stop loss calculation.
Profile volume deviationThis indicator calculates the width of the 70% Value Area of a moving volume profile over a defined number of candles.
It begins by identifying the highest and lowest points of the period under review, then divides this price range into several segments. For each candle, the volume is added to the segment corresponding to the closing price, which allows a volume profile to be constructed.
Once the total volume is known, the indicator identifies the most traded segment, called the Point of Control. From this central point, it gradually widens the area upwards and downwards by adding the most voluminous adjacent segments until it covers 70% of the total volume: this is the Value Area.
The lower and upper limits of this area are then converted into prices, and their difference gives the width of the Value Area. This width can be displayed directly as a price value or as a percentage of the current price.
The indicator is mainly used to assess the state of the market: a narrow Value Area suggests a phase of compression or range, while a wide Value Area indicates a period of expansion and strong activity.
3 Days Volatility 3 Days Volatility (Final) is a price-action based volatility indicator designed to measure the true market movement over the last 3 trading days.
It helps traders quickly understand whether the market is in consolidation, expansion, or high-risk volatility.
The indicator always uses daily (D) timeframe data, so it works consistently on intraday, swing, and positional charts without repainting.
🔍 What does this indicator measure?
This indicator calculates three different types of volatility, each serving a specific trading purpose:
1️⃣ Close Range %
Calculated using Highest Close – Lowest Close of the last 3 days
Measures close-to-close price movement
Useful for identifying trend smoothness and controlled movement
👉 Best suited for swing traders who focus on closing prices.
2️⃣ Body Range % (NO WICKS)
Calculated using the highest and lowest candle bodies of the last 3 daily candles
Completely ignores wicks and spikes
Shows real buying and selling strength
👉 This is the most important component of the indicator, as it reflects pure price acceptance rather than noise.
3️⃣ High–Low %
Calculated using Highest High – Lowest Low of the last 3 days
Measures total volatility including wicks, news moves, and extreme spikes
👉 Very useful for risk assessment, options trading, and volatility awareness.
🎨 Smart Colour Coding System
Each volatility value is automatically highlighted using a three-level colour system:
🟢 Green → Low volatility (tight range, consolidation phase)
🟠 Orange → Medium volatility (expansion, active market)
🔴 Red → High volatility (breakout, strong momentum, or high risk)
This allows traders to instantly read market conditions without manual calculations.
📊 Visual Output
Clean table-based display
Updates only on the latest bar
Does not clutter the chart
Non-repainting and safe for analysis
💡 Best Use Cases
Identifying consolidation before breakouts
Measuring volatility expansion in futures trading
Understanding risk levels for options buying/selling
Filtering trades based on market volatility conditions
⚠️ Important Disclaimer
This indicator does NOT provide buy or sell signals
It is designed as a volatility and market condition tool
Always use it with your own trading strategy and proper risk management
Asia London NY Probability Map [ES/NQ] Session StatisticsA data-driven probability overlay built on 2,800+ days of NQ and ES session data (2015–2025). This indicator classifies the current day into one of 72 unique market contexts based on Asia range, London open location, London sweep behavior, and NY open position — then displays the historical probabilities for that exact setup.
Unlike typical session indicators that only draw boxes, this tool answers the question every NY session trader actually asks: "Given what Asia and London have already done today — what is statistically likely to happen next?"
═══════════════════════════════════════════════════════════════════
█ HOW IT WORKS
The indicator operates in three phases:
1 — Session Detection
Automatically detects Asia (20:00–02:00 ET), London (02:00–08:00 ET), and NY (08:00–16:00 ET) sessions. Session boxes are drawn on the chart with customizable colors and transparency.
2 — Context Classification
At NY open, the indicator classifies the day across 4 axes:
Asia Range — Below or Above average (rolling 14-session average, adapts to current volatility)
London Open vs Asia — Below, Near, or Above Asia midpoint (±15% threshold)
London Sweep — No sweep, Swept High only, Swept Low only, or Both
NY Open vs London — Below, Near, or Above London midpoint (±15% threshold)
This produces 2 × 3 × 4 × 3 = 72 distinct contexts. Each context maps to a pre-calculated set of statistics drawn from the full dataset.
3 — Probability Display
Once the context is identified, the indicator displays the relevant statistics through a comprehensive panel and chart overlay.
═══════════════════════════════════════════════════════════════════
█ PANEL SECTIONS
The information panel contains 6 toggleable sections:
SETUP
Shows the current context classification, sample size, and a confidence grade (A+ through D) based on directional clarity, sample reliability, hit rate confirmation, and sweep-both risk.
PREDICTION
Hit High First / Hit Low First — directional probability
Sweep Both — probability that price hits both London High and Low
Median Time — median minutes to first level touch
Fail H→L / Fail L→H — reversal failure rates
HIT RATES
Independent probabilities of price reaching each key level during the NY window:
London High / London Low
Asia High / Asia Low
PENETRATION TARGETS
After a level break, how far does price typically travel beyond? Shows Median and 75th percentile penetration distances in points for both upside and downside.
RANGE INFO
Today's Asia and London ranges with their historical percentile ranking (e.g., "95th" means today's range is larger than 95% of historical days).
LIVE STATUS
Real-time tracking of: first sweep direction, sweep-both status, and actual penetration distances. Updates as NY session progresses.
═══════════════════════════════════════════════════════════════════
█ CHART OVERLAY
Session Boxes
Subtle outline boxes for Asia (orange), London (blue), and NY (green) with centered labels. Non-intrusive design that doesn't obscure price action.
Key Levels
London High / Low — solid lines with context-specific hit rate percentages
London Mid — dotted reference line
Asia High / Low — dashed lines with hit rate percentages
Checkmarks (✓) appear next to each level as price reaches it during the NY session
Penetration Targets
Dynamic dotted lines that appear only after a level break, showing the Median and P75 expected penetration distances above London High or below London Low.
Bias Arrow
A directional indicator (▲ or ▼) showing the dominant probability with percentage. Positioned near the relevant London level for quick visual reference.
═══════════════════════════════════════════════════════════════════
█ CONFIDENCE GRADING
Each context receives a score (0–100) and letter grade based on:
Directional Clarity (30 pts) — How skewed is the Hit High First / Hit Low First split
Sample Size (25 pts) — Larger samples = more reliable statistics
Hit Rate Confirmation (25 pts) — Do the level hit rates align with the directional bias
Sweep-Both Risk (20 pts) — Lower sweep-both probability = cleaner setups
Grades: A+ (80+), A (65+), B (50+), C (35+), D (below 35)
═══════════════════════════════════════════════════════════════════
█ INSTRUMENTS & WINDOWS
Symbols: NQ (Nasdaq futures) and ES (S&P 500 futures)
Windows: AM (8:00–12:00), PM (12:00–16:00), or Full (8:00–16:00)
Select your instrument and time window via the dropdown inputs. All statistics update automatically — each of the 6 configurations has its own embedded dataset.
Sample sizes:
NQ AM: 2,839 days | NQ PM: 982 days | NQ Full: 2,839 days
ES AM: 2,692 days | ES PM: 1,036 days | ES Full: 2,692 days
═══════════════════════════════════════════════════════════════════
█ SETTINGS
All visual elements are independently toggleable:
Show/hide Statistics Panel, Key Levels, Session Boxes, Penetration Targets, Bias Arrow
Customize colors for all session boxes and level lines
Adjust label sizes (tiny / small / normal)
═══════════════════════════════════════════════════════════════════
█ ALERTS
Three built-in alerts:
Broke London High — price exceeds London session high
Broke London Low — price breaks below London session low
Sweep Both Sides — price has now touched both London High and Low
═══════════════════════════════════════════════════════════════════
█ METHODOLOGY & DATA
All statistics are pre-calculated from historical tick-level session data and embedded directly in the Pine Script as arrays. No external data feeds or API calls — everything runs natively on TradingView.
The context classification methodology uses fixed thresholds (±15% of range for open location) applied consistently across the entire dataset. The Asia Range classification uses a rolling 14-session average rather than a fixed historical median — this adapts to current market volatility, making the "Below/Above Average" determination relevant to recent conditions rather than a decade-old baseline. Hit rates use inclusive operators (≥ / ≤) for level touches.
Note that some contexts have smaller sample sizes (under 40 days). The confidence grading system accounts for this — lower-sample contexts receive lower grades. Always consider the sample size when interpreting probabilities.
═══════════════════════════════════════════════════════════════════
█ LIMITATIONS
Designed specifically for NQ and ES futures — other instruments are not supported
Best used on 1–5 minute timeframes during active session hours
Historical probabilities are not guarantees of future outcomes
Context windows with small sample sizes (shown in panel) should be interpreted with caution
Data covers 2015–2025; market regime changes may affect relevance of older data
═══════════════════════════════════════════════════════════════════
█ DISCLAIMER
This indicator is a statistical research tool, not a trading signal generator. It provides historical context to support your own analysis and decision-making. Past performance does not guarantee future results. Always use proper risk management.
CPR by Traders HedgeKey features of the indicator.
Central Pivot Range:
The indicator automatically calculates the central pivot range and the possible dynamic support and resistance levels based on the current volatility of the time frame selected.
Key Support and Resistance Band:
The indicator plots the immediate key support and resistance zones for the time frame selected.
Higher Time Frame Pivots:
This feature plots the one time frame higher central pivot range and the higher time frame support and resistance zones which helps to visually analyze multi time frame trend on a single chart.
Plot Next Session Pivots:
Helps to analyze the trades before the next session starts.
Multi time frame VWAP:
Helps to plot multi time frame VWAP (Daily, Weekly, Monthly, Yearly) on the chart
PEMA:
Plots the pivot based moving average band which helps to visually identify the trend and this band acts as dynamic support and resistance.
Based on the trading style choose the below time based, then the pivots and respective supports and resistances are auto calculated and plotted.
Suggested Trade Type:
5 min - Intraday
30min/60 min - Micro Swing
Daily - Swing Trading
Weekly - Positional
Monthly - Investment
Please feel free to leave your feedback.
ARVEX Flux TrailARVEX Flux Trail is a trend context tool built around an ATR-based trailing structure. It visualizes the current trend state, an adaptive trail, and optional continuation markers to help you track trend phases across markets and timeframes.
What it shows
• A baseline EMA (reference line)
• An ATR trail that adapts to volatility and switches state when price transitions through the trail
• Bullish state → cyan trail
• Bearish state → magenta trail
• Optional layered “Flux Bands” between the active trail and recent swing extremes (visual distance/pressure context)
• Optional state flip markers when the trail state changes
• Optional continuation markers (▲ / ▼) based on configurable break/continuation conditions inside the current trend state
• A compact HUD displaying:
• Bias (Up / Down)
• Score (active band level count / configuration summary)
Intended use
This script is designed for trend tracking and context, not as a standalone trading system. Continuation markers are informational and should be confirmed with your own analysis, risk management, and execution rules.
Educational/informational use only. Not financial advice.
ARVEX Trend ReactorARVEX Trend Reactor is a minimalist trend context indicator designed to summarize directional structure and momentum strength with a clean, uncluttered display.
What it does
• Uses a dual-EMA structure (fast vs. slow) to define the current trend state
• Fast EMA above slow EMA → Bullish trend context
• Fast EMA below slow EMA → Bearish trend context
• Displays a color-coded trend line (teal/bullish, magenta/bearish)
• Shows an on-chart Trend Strength score (0–100) based on EMA separation normalized by ATR
• Optional trend change labels (Bull / Bear) when the state flips
On-chart HUD
• Trend state (Bullish / Bearish)
• Strength score (0–100)
• ATR(14) volatility reference
Intended use
This script is built for trend context and filtering, not for generating trade signals. It can be used to align discretionary analysis or rule-based strategies with prevailing trend conditions across timeframes and assets.
Educational/informational use only. Not financial advice.
ARVEX Sentiment Zones v2.0 ARVEX Sentiment Zones v2.0 is a chart context overlay that highlights broader bullish and bearish phases (“Flow Blocks”) using a volatility-adjusted trend sentiment model.
The script evaluates:
• A baseline EMA and its slope (trend direction/strength)
• Price position relative to the EMA, normalized by ATR (volatility)
• A combined sentiment score that classifies the environment as Bullish, Bearish, or Transitional
What it shows
• Bull zones (teal): sustained positive trend context
• Bear zones (magenta): sustained negative trend context
• Flow Blocks: larger phase boxes that update while the condition remains valid
• Optional baseline EMA and a compact HUD with:
• current bias state
• sentiment strength estimate
• ATR% (volatility context)
Intended use
This tool is designed for market context and filtering, not for generating trade signals. It can be used to align discretionary analysis or rule-based systems with the prevailing regime across different assets and timeframes.
Educational/informational use only. Not financial advice.
ARVEX Liquidity Helix v2.0 ARVEX Liquidity Helix v2.0 is a higher-timeframe (HTF) context overlay that projects directional impulse structure onto your active chart. It highlights when price is moving inside an HTF-driven corridor (“Helix Shell”), how recent that HTF impulse is, and whether the move is still considered active or has started to decay.
This tool is designed for market context and trade planning — it does not generate buy/sell signals and should be used alongside your own risk management and execution rules.
What it shows
• HTF Directional Shell (Core + Halo): an ATR-based corridor that visualizes where HTF flow is most influential
• Helix Inner Bands: a subtle internal structure layer for visual orientation inside the shell
• Impulse Age + Confidence (0–100): a freshness / activity score derived from HTF impulse timing and current price location
• State Readout (Idle / Active / High): quick classification of whether the HTF shell is currently meaningful
How it works (high level)
• Detects directional HTF impulses using volatility (ATR) and structure logic
• Builds a dynamic corridor around an HTF reference center
• Applies an age/decay model to estimate whether the impulse is still dominant
• Displays confidence-driven styling (intensity) and optional context markers/alerts
How to use
• Use the shell as a directional filter (e.g., avoid fading fresh HTF impulses)
• Look for re-entry into the core as a context cue for pullback/continuation evaluation
• Combine with your preferred trigger (price action, structure, trend systems, etc.)
Notes
• Works across FX, crypto, indices, futures, and other liquid markets
• Intended for informational / analytical use only
• No performance claims, no guaranteed outcomes
