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.
Indicatori e strategie
stelaraX - ADXstelaraX – ADX
stelaraX – ADX is a trend strength indicator based on the Average Directional Index (ADX) and its directional components DI+ and DI-. The indicator is designed to help traders distinguish between trending and ranging market conditions without focusing on trade direction alone.
For advanced AI-based chart analysis and automated trend evaluation, visit stelarax.com
Core logic
The indicator is calculated using the Directional Movement Index methodology and consists of three components:
* ADX measures overall trend strength
* DI+ represents positive directional movement
* DI- represents negative directional movement
The ADX value is smoothed using a user-defined smoothing period. A configurable threshold level is plotted to visually separate weak and strong trend conditions.
Visualization
The script plots all components in a separate pane:
* ADX line to evaluate trend strength
* DI+ line to show bullish directional pressure
* DI- line to show bearish directional pressure
* horizontal threshold line to highlight trending conditions
Colors for each line and the threshold level are fully customizable.
Use case
This indicator is intended for:
* identifying strong versus weak market trends
* filtering trades based on trend strength
* avoiding range-bound market conditions
* confirming trend continuation or exhaustion
* combining with breakout, structure, or momentum strategies
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.
EMA Cloud + VWAPEMA Cloud + VWAP
A clean trend and positioning tool combining fast EMA structure with VWAP.
The 8, 13, and 21 EMAs form a dynamic cloud that shows market direction at a glance:
Bullish stack : 8 > 13 > 21 → bullish momentum
Bearish stack : 8 < 13 < 21 → bearish momentum
Neutral : EMAs compress → consolidation or transition
The cloud helps keep you aligned with trend instead of reacting to noise.
VWAP acts as the intraday equilibrium level:
Price above VWAP → stronger bullish positioning
Price below VWAP → weaker or bearish positioning
Often used for pullbacks, support/resistance, and mean reversion
Settings
* Adjustable EMA lengths
* Custom bull/bear/neutral cloud colors
* Cloud opacity control
* VWAP color selection
Designed for traders who want a simple visual read of trend + intraday positioning on any market or timeframe.
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.
Multi-Period Key Levels & SeparatorsPeriod Levels & Separators – D/W/M/Q/Y
Comprehensive higher timeframe levels indicator displaying key price levels and period separators for Daily, Weekly, Monthly, Quarterly, and Yearly timeframes.
Features:
• Current & previous period Open lines
• Previous period High / Low (PDH/PDL, PWH/PWL, PMH/PML, etc.)
• Previous period midpoint (½ level) — shown on lower timeframes
• Weekly & Monthly Highest/Lowest Close of period (HCOW, LCOW, HCOM, LCOM)
• First Trading Day of the Month High/Low with optional background fill
• Smart label merging — automatically combines labels when levels are very close (configurable tolerance)
• Customizable period separators (daily, weekly, monthly, quarterly, yearly)
• Day of week labels (Mon–Sat) on lower timeframes
• Multiple visibility controls — hide levels/separators on higher timeframes
• Unlimited or limited history mode
• Optional alerts on break of previous period high/low
Ideal for:
• Anyone using higher timeframe structure & key levels in their analysis
Settings include:
- Master toggles for each timeframe
- Individual colors, styles & widths
- Label size & text color
- Merge tolerance for overlapping levels
- Timezone selection
- Hide rules for cleaner charts on higher TFs
Enjoy cleaner, more structured charts with all major period levels in one place.
Feedback & suggestions always welcome.
CG Price Action OverlayThis indicator provides a comprehensive price action analysis toolkit for traders.
Features include:
- Market Structure Analysis (BOS/CHoCH detection)
- Support & Resistance Zone identification
- Multi-Timeframe High/Low levels
- Fair Value Gap (FVG) visualization
- Volumetric analysis zones
- Clean candlestick coloring options
Settings are fully customizable to match your trading style.
Designed for educational purposes. Use this tool as part of your complete trading strategy.
Past performance is not indicative of future results.
LinReg Wave | Lyro RSOverview
This indicator is a analytical tool designed to translate momentum, trend pressure, and market balance into a structured visual framework. It operates as a non-price oscillator combined with optional price overlays, allowing traders to evaluate trend direction, continuation strength, and valuation extremes within a single system. The indicator is built to adapt across market conditions by offering multiple operational modes, each focusing on a different market behavior while sharing a unified internal state model.
Originality
The originality of this indicator lies in how it blends regression-based momentum behavior with adaptive volatility envelopes and state-driven visualization. Instead of relying on a single traditional oscillator or trend filter, it constructs a dynamic internal wave that reacts to both directional persistence and expansion or contraction in market activity. The script does not simply label trends or overbought/oversold zones; it continuously re-contextualizes price behavior relative to its own evolving statistical environment. This makes it distinct from common momentum oscillators, static band tools, or single-purpose trend indicators.
Modes
The indicator operates through distinct modes, each designed for a specific analytical purpose:
Cloud mode
Signals are generated when price interacts with adaptive upper and lower regions derived from internal trend and volatility states, emphasizing directional continuation and structural shifts.
HA Trend mode
Signals are derived from directional consistency and candle behavior of the internal wave representation, focusing on trend stability rather than breakouts.
Valuation mode
Signals are produced when the internal wave reaches statistically stretched regions, highlighting potential exhaustion, imbalance, or mean-reversion zones.
Methodology
At its core, the script constructs an internal wave that represents normalized directional pressure rather than raw price movement. This wave is then evaluated through multiple adaptive layers to extract trend, strength, and valuation information without exposing the underlying calculations directly.
The framework can be understood through the following conceptual components:
A composite momentum structure that blends directional persistence with rate-of-change behavior to form a normalized internal wave.
A regression-based trend assessment that evaluates both direction and slope stability rather than simple crossover logic.
Adaptive deviation zones that expand and contract with changing market conditions, used to contextualize extremes instead of fixed thresholds.
A dynamic mid-reference that acts as a balance point for determining bullish versus bearish dominance.
A volatility-aware overlay mechanism that maps internal states back onto price for visual confirmation and execution context.
Traders use the indicator by selecting a mode aligned with their objective, such as trend participation, continuation management, or valuation-based decision-making. The visuals, color states, and optional labels are designed to reflect internal state changes rather than individual signals in isolation, encouraging contextual interpretation instead of reactive trading.
The methodology works because it evaluates price behavior relative to its own evolving statistical structure, rather than comparing price to static or externally fixed levels.
Summary
The LinReg Wave provides a multi-layered view of market behavior by combining normalized momentum, adaptive trend assessment, and volatility-aware context into a unified system. Through its distinct modes, traders can analyze continuation, trend health, and valuation extremes without switching tools. The script is designed to guide interpretation through internal state alignment rather than exposing raw calculations, making it suitable for discretionary and systematic workflows alike.
⚠️Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
stelaraX - Moving AveragestelaraX – Moving Average
stelaraX – Moving Average is a flexible moving average indicator that allows switching between multiple MA calculation types while keeping a clean and minimal chart appearance. The indicator is designed for trend identification, dynamic support and resistance, and general market bias analysis.
For advanced AI-based chart analysis and automated trend evaluation, visit stelarax.com
Core logic
The indicator calculates a single moving average based on the selected type:
* Simple Moving Average (SMA)
* Exponential Moving Average (EMA)
* Weighted Moving Average (WMA)
* Volume Weighted Moving Average (VWMA)
* Running Moving Average (RMA)
The moving average is calculated using a user-defined period and price source, allowing full control over responsiveness and sensitivity.
Visualization
The script plots one moving average line directly on the chart:
* adjustable moving average type
* configurable period length
* selectable price source
* customizable line color
* fixed line width for clear visibility
The minimal design ensures an uncluttered chart and seamless combination with other indicators.
Use case
This indicator is intended for:
* trend identification and confirmation
* dynamic support and resistance analysis
* moving average based trading strategies
* multi-timeframe trend alignment
* clean chart setups with minimal visual noise
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.
Premarket High/Low & Opening Candle & PDH/PDLShow Premarket High (Red line)
Show Premarket Low (Red line)
Show Opening Candle (Green line)
Show Previous Day High (Light yellow line)
Show Previous Day Low (Light yellow line)
Trend + BB% BUY/SELL + S/R Strength+Weakness+BalanceTrend + BB% BUY/SELL + S/R Strength+Weakness+Balance
IMB Mitigation Alert (15M+) by TradeWithForbesndicator that tracks only the most recent ICT imbalance per timeframe, replaces older ones automatically, and triggers a one-time alert the instant price touches the imbalance open (even by 1 pip), only during selected trading sessions. No imbalance formation alerts, no drawings, no arrays unless strictly required, and no global state mutation inside functions.”
MT Trading Deep Value Accumalation ZoneMT Trading – Deep Value Accumalation Zone is a long-term market indicator designed to show price areas where buying becomes statistically reasonable during market drawdowns. It does not give buy or sell signals and is not meant for short-term trading. The indicator focuses on identifying value zones rather than predicting exact market bottoms.
The model works in logarithmic price space and builds a fixed-width zone below the market price. This zone represents areas where long-term demand has historically appeared during periods of stress, panic, or forced selling. The width of the zone never changes. Only its position moves over time.
The zone is predictive, not reactive. It adjusts slowly during normal market conditions, stays stable during consolidation, and adapts faster during strong sell-offs or extreme volatility. This allows the zone to remain realistic and reachable without following price impulsively.
Price may move below the zone during extreme events, but such situations are expected to be temporary. The indicator is designed to highlight areas where risk-to-reward improves, not to mark exact turning points.
MT Trading – Predictive Value Zone is best used on daily or higher timeframes for crypto markets such as BTC, ETH, and major altcoins. It is intended for investors and swing traders who focus on accumulation during drawdowns and long-term market structure rather than short-term signals.
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.
IMB Scanner (15M+) by TradeWithForbesIMB Session Scanner (15M+) built for session-based imbalance detection.
Scans 15M, 1H, 4H, D1 and W1 ICT-style 3-candle Imbalances (IMB) only during Tokyo, London and New York sessions.
Alerts:
- IMB Mitigated (Tapped at Open)
Designed for clean institutional execution and reduced chart lag.
345min Cycles Riyadh Session BOXThe idea is to divide the session into four periods and draw levels above the level for a buy market and below it for a sell market.
Raigur Trader Pattern Identification and Micros CalculationIt identifies 3 candle stick patterns as per pre defined conditions and mark them with arrows.
Then it calculates the number of micros to be traded as per the instrument category selected from the list available.
It marks hammer and Inverted hammer with label A; and Bullish Bearish Engulfing & Harami with label B.
It is designed only for DJI, SPX and NDQ.
iQPRO iQProfile22iQPRO iQProfile22: Advanced Geometry & Frequency Engine
iQPRO iQProfile22 is a high-performance confluence engine designed to identify institutional liquidity nodes and statistical outliers. By synthesizing Linear Regression (probability), Volume Profiles (activity), and Frequency Analysis (cyclicality), this indicator visualizes precisely where price is statistically likely to revert (Mean Reversion) or break out (Momentum).
Moving beyond isolated metrics, iQProfile22 actively scans for "Interaction Nodes"—specific price levels where heavy volume accumulation coincides perfectly with statistical deviation bands.
Released as an Invite-Only script, this tool protects its proprietary calculation methods while providing a curated edge for Premium Community Access Traders.
Proprietary Architecture & Uniqueness
Unequivocal Originality: iQProfile22 is not a "reskin" of open-source code or standard library functions. It is built entirely on a Proprietary Multi-Core Base developed from scratch.
Custom Math Engine: Instead of relying on basic TradingView built-ins, we manually calculate Linear Algebra components (slope, intercept, and variance) and Digital Signal Processing logic.
Zero-Lag Performance: By owning the entire calculation stack, we eliminate the latency and structural limitations found in retail-grade tools. This ensures a responsive, non-lagging volatility envelope that adapts dynamically to price action.
Core Innovation: The Triple-Layer Synthesis
The engine operates on a synergistic system where Trend, Timing, and Liquidity converge:
Dynamic Linear Regression (Probability): Anchors automatically based on user-defined lookbacks (Fixed, Highest High, or Lowest Low). It calculates a "Best Fit" mean and projects dynamic Standard Deviation (SD) bands to define overbought/oversold extremes.
Integrated Volume Profile (Liquidity): Renders a custom Volume Profile at the current bar, highlighting the Point of Control (POC) and Value Area (VA) to distinguish between Buy/Sell volume pressure.
Signal Processing (Frequency): Utilizes a Digital Signal Processing (DSP) algorithm to filter price noise and extract the dominant market cycle. It projects "Frequency Bands" that act as dynamic support/resistance, often providing signals faster than standard averages.
Key Technical Features: Smart Node Detection
The system's primary output is the identification of Interaction Nodes. These are the Primary Focal Point signals where a Volume Node makes its proprietary interaction.
Interaction Nodes (Automated Markers): These markers indicate critical variance boundaries and levels for entries, exits, and focal points. They represent zones of high friction and high probability for reaction.
Frequency Bands: Dynamic bands that expand and contract with the DSP cycle, offering real-time visualization of market "breathing" (Expansion vs. Compression).
Volume Nodes: High-volume price levels identified from the profile, acting as magnetic zones for price action.
Operational Guide
1. Trend & Structure
Trend Definition: Use the Regression Base Line to determine the immediate trend direction.
Reversals: Look for price exhaustion at the outer SD Bands (e.g., 3-5 Sigma).
2. Entries & Exits
Focal Points: Target the Interaction Nodes (Automated Markers). These are statistically significant barriers where price is likely to pause or reverse.
Momentum Shifts: Watch for crossovers on the Frequency Bands to identify short-term momentum shifts before they are visible on price alone.
Access & Intellectual Property
Invite-Only Access: This script is available exclusively to verified users of Premium MarketMakeriQ Access. It is released as an invite-only tool to ensure controlled distribution and protect the proprietary logic meant for our community.
Security: Access is granted strictly for personal use within the community. Attempting to reverse-engineer the script, decompile the code, or share the underlying logic will result in the immediate and permanent revocation of access to all MarketMakeriQ tools.
How to Join: Please refer to the Author's Instructions below to verify your membership and request authorization.
Disclaimer: For educational and analytical purposes only. Trading involves significant risk. Past performance is not indicative of future results. No financial advice is provided.
Copyright: © 2026 MarketMakeriQ(MarketMakerlQ) | iQ Alchemy. All rights reserved. Logic protected under MPL 2.0 where applicable.
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.
System Core B Monthly Value + Weekly RegimeWhat this indicator does
This indicator builds a weekly “regime engine” around a manual monthly value area and then summarizes everything in a small on-chart dashboard.
It answers four questions:
Are we inside monthly value, near an edge, or trading outside it?
Is the weekly action rotating, compressing, or escaping away from value?
How has price moved inside the weekly range vs two weeks ago (up / down / flat)?
Are weekly range and volume “normal”, tight, or quiet relative to recent history?
You provide the monthly VAH / VAL once, and the script monitors how weekly bars behave around that zone.
Core logic
Monthly value area
You manually enter Monthly VAH (upper) and Monthly VAL (lower).
The script checks whether each weekly close is:
Outside above VAH
Outside below VAL
Inside but near VAH
Inside but near VAL
Inside and away from edges
A small “Location” label reports this as:
Outside Above VAH
Outside Below VAL
Inside (Near VAH)
Inside (Near VAL)
Inside Value
The “near” zone width is controlled by a percent buffer of the monthly value width.
Weekly range and volume stats
On the weekly timeframe the script calculates:
RangeRatio (RR) = weekly high–low divided by weekly ATR(14)
VolumeRatio (VR) = weekly volume divided by a volume SMA (configurable length)
It then counts over a recent window:
How many of the last 6 weeks had “normal” RR (between 0.6 and 1.1 × ATR).
How many of the last 4 weeks had tight RR (RR < 0.8).
How many of the last 4 weeks had quiet volume (VR ≤ 1.0).
How many of the last 6 weekly closes were inside monthly value.
These counts drive the regime classification and are also shown in the dashboard.
Regime classification
The regime engine is designed around three states:
Rotating (A – Rotating)
All 6 of the last 6 weekly closes are inside monthly value.
At least 4 of those 6 weeks have normal RR.
→ Typical “range / rotation around value” environment.
Compressing (A – Compressing)
Last 4 weekly closes all inside monthly value.
At least 3 of the last 4 weeks have tight RR.
At least 3 of the last 4 weeks have quiet volume.
→ Volatility contraction and quieter trade inside value.
Escaping (B – Escaping)
At most 3 of the last 6 weekly closes are still inside value.
Last 3 weekly closes are clustered in the top or bottom quartile of their ranges.
At least 1 recent week shows high RR (“impulse” move).
Current weekly close is progressing further in that direction vs two weeks ago.
→ Expansion / trend away from value.
Priority is: Escaping > Compressing > Rotating.
If monthly VAH/VAL are missing, regime is set to MISSING monthly VAH/VAL.
If none of the patterns fit cleanly, regime is labeled MIXED.
A separate “Progress vs 2w ago” tag reports:
Up vs 2w ago
Down vs 2w ago
Flat vs 2w ago
based on the position of the current weekly close within its range compared to two weeks prior.
Visuals
Lines
Optional Monthly VAH and Monthly VAL horizontal lines.
Background shading (optional)
If Shade background by regime is enabled and monthly values are present:
Compressing → blue tint
Escaping → orange tint
Rotating → green tint
Other / mixed → light gray tint
If the shading option is off or monthly VAH/VAL are missing, the background is not modified.
Dashboard table
A compact table (corner is configurable) shows:
Row 0: Weekly Regime – regime label (B Escaping / A Compressing / A Rotating / MIXED / missing)
Row 1: Location – monthly value location text (inside / near edge / outside)
Row 2: Progress – up / down / flat vs two weeks ago
Row 3: Inside (6w) – count of weeks inside value out of last 6
Row 4: RR Normal (6w) – count of “normal RR” weeks in last 6
Row 5: Tight/Quiet (4w) – string summary:
RR tight: X | Vol quiet: Y (counts over last 4 weeks)
Inputs
Monthly VAH / VAL (manual)
Monthly VAH (upper value)
Monthly VAL (lower value)
Show Monthly VAH / VAL (on/off)
Monthly buffer
Near-edge buffer (% of value width) – defines how close to VAH/VAL counts as “near”.
Weekly Regime Engine
Top percentile threshold (0..1) – default 0.75 (top quartile of weekly range)
Bottom percentile threshold (0..1) – default 0.25
Weekly volume SMA length – lookback for VR normalization
Shade background by regime – enable/disable colored background
Dashboard
Show dashboard – show/hide the table
Dashboard corner – Top Left / Top Right / Bottom Left / Bottom Right
How to use it
Set Monthly VAH / VAL for the current contract / product.
Watch the regime label + background color to know if weekly structure is:
Ranging around value
Compressing quietly inside value
Attempting to escape and trend away
Use Location and Inside Count to judge how anchored price still is to the monthly value area.
Use the RR / volume counts and Progress vs 2w ago to decide whether to treat current moves as range trades, breakout attempts, or fading candidates.
This is built to be a weekly “state of the environment” layer you can combine with your more granular entry tools.
RR03.2.2This indicator is designed to assist with trend and entry confirmation.
It plots visual signals based on predefined technical conditions.
Intended for discretionary trading and educational purposes only.
Works best on liquid markets and standard timeframes.
abosaud | SPXاستراتيجية مؤشر SPX
إحترافية جدا تحدد لك موقع دخول الكول و البوت مع تحديد الأهداف اليومية و تحديد الدعم والمقاومة اليومية تلقائيا
وأيضا لديك شاشة تظهر الأتجاه الحالي و العام للسوق .
كيف تعمل الأستراتيجية :-
عند اختراق خط الكول واقفال شمعة يتم دخول الكول وكل هدف يعتبر منطقة ارتداد وعند توفر سيولة عالية غالبا يتم استهداف المقاومة اليومية .
وأيضا دخول البوت يتم عند كسر خط البوت مع اقفال شمعة يتم استهداف الأهداف الموضحة .
ملاحظة : خط الدعم والمقاومة يعتبر منطقة ارتداد قوية عند كسرها من المتوقع استمرار الأتجاه بشكل قوي
The SPX indicator strategy is highly professional, identifying call and put entry points, setting daily targets, and automatically determining daily support and resistance levels. It also includes a screen displaying the current and overall market trend.
How the strategy works: When the line breaks through and a candle closes, the line is entered, and each target is considered a rebound zone. When high liquidity is available, the daily resistance is often targeted.
The put entry is also triggered when the put line is broken and a candle closes, targeting the indicated objectives.
Note: The support and resistance lines are considered strong bounce zones; breaking them suggests a strong continuation of the trend.






















