AG Pro Moving Average Ribbon Stress Meter [AGPro Series]AG Pro Moving Average Ribbon Stress Meter
Overview / What It Does
This indicator is designed to read the internal condition of a moving-average ribbon rather than treating the ribbon as a simple trend overlay. Instead of asking only whether the ribbon is bullish or bearish, it asks a different question: is the ribbon structurally calm, starting to load, becoming strained, or losing internal order.
The script builds a six-line moving-average ribbon, measures how those averages interact with each other, and converts that interaction into a stress framework. The result is a visual map that helps show whether the ribbon is organized, stretched, unstable, or resetting after stress.
In practical terms, the script is built to help users evaluate ribbon quality, internal synchronization, and the degree of structural pressure inside the moving-average stack. It is not intended to forecast future prices, call tops or bottoms, or replace broader market analysis. Its purpose is to organize what the ribbon is doing now and how stable or unstable that structure appears to be.
The chart output combines multiple layers: the ribbon itself, a central stress spine, edge bands, optional stress aura, event labels, and a compact status panel. Together, these elements aim to make the ribbon easier to interpret without requiring the user to manually inspect every moving average line on every bar.
Unique Edge
Many ribbon-style tools focus on directional bias, crossovers, or broad expansion and contraction. This script focuses on internal ribbon stress.
Its main distinction is that it does not treat all ribbon trends as equal. A ribbon can be rising while still carrying internal disagreement. A ribbon can also look compressed or visually clean while underlying alignment, slope behavior, width dynamics, or price stretch are beginning to deteriorate. This script is built to surface those conditions.
The goal is not to reduce the market to a single signal. The goal is to provide a structured visual read on whether the moving-average stack is operating in a calm state, a loaded state, a strained state, or a more unstable condition. That makes it more useful as a workflow tool than as a simple trend-colour overlay.
Another point of differentiation is presentation. The script uses a ribbon-focused visual design so that the user can read internal condition directly from the chart. Focus modes, theme presets, stress spine layering, and a compact panel are included to keep the display informative without turning the chart into a dense dashboard.
Methodology
The script evaluates ribbon condition through five stress components.
1) Order Stress
This measures whether the moving averages are stacked cleanly or whether their order is becoming mixed. Lower stress suggests cleaner structural order. Higher stress suggests more internal disorder.
2) Slope Dispersion Stress
This evaluates how consistently the moving averages are sloping together. When the ribbon lines are moving with similar directional agreement, synchronization is stronger. When their slopes diverge, internal stress rises.
3) Width Instability Stress
This tracks whether the ribbon width is behaving in a stable or unstable way. A ribbon can widen in an orderly way or in a more erratic way. This component attempts to distinguish between those conditions.
4) Curvature Stress
This evaluates bending in the ribbon core. Strong changes in ribbon curvature may indicate increasing internal pressure or transition.
5) Price Stretch Stress
This measures how far price is moving from the ribbon core relative to ribbon width and ATR-based normalization. This is not a directional claim. It is a structure-based distance measure.
These components are weighted and blended into a smoothed Stress Score. That score then feeds the state engine.
Primary states include Calm, Loaded, Strained, Critical, Fractured, and Recovery. The panel and visual styling use those states to summarize the ribbon condition at the current bar.
Signals & Alerts
This script is built around state transitions and structural events rather than buy/sell promises.
Depending on settings, users may see event labels and alerts such as:
Stress Build
Shows that stress has crossed into an early loading phase.
Strained
Shows that the ribbon has moved into a more stressed internal state.
Critical Load
Highlights a higher-pressure condition where instability has become more meaningful.
Ribbon Fracture
Marks a stronger structural failure condition when stress and ribbon order deterioration align.
Stress Reset
Shows that a previously elevated stress condition has cooled enough to register recovery.
Order Restored
Highlights improvement in ribbon order after disorder had been present.
These events are not trade instructions. They are context markers intended to help users track shifts in ribbon condition. Alerts should be interpreted together with market structure, timeframe context, volatility, and personal risk management.
Key Inputs
Source and MA Type
The ribbon can be built from different moving-average types and data sources.
Ribbon Lengths
Users can define the six ribbon lengths to fit their preferred structure and timeframe.
Stress Engine Inputs
ATR length, slope lookback, width lookback, curvature lookback, smoothing, and component references allow users to calibrate how sensitive the stress model should be.
Weights
The script includes separate weights for order stress, slope dispersion, width instability, curvature stress, and price stretch stress.
Thresholds
Loaded, Strained, Critical, and Fracture thresholds can be adjusted for tighter or looser state transitions.
Theme Presets and Focus Mode
Theme presets and focus modes allow the ribbon to be displayed in different visual styles while preserving the same logic.
Events and Panel
Users can control label density, label spacing, marker visibility, and panel position.
Limitations & Transparency
This script is an interpretation framework built around moving-average relationships. It does not know future price movement, and it does not claim certainty. Like any model built on smoothed market data, it will react more slowly in some environments and may produce fewer useful transitions in others.
Different assets and timeframes can produce different ribbon personalities. A threshold or weight set that feels balanced on one market may feel too sensitive or too quiet on another. Users should expect to adapt settings if they move between instruments with very different volatility or trend behavior.
The stress model is also deliberately selective. It does not try to label every fluctuation or classify every candle. Its purpose is to organize ribbon condition, not to describe every possible market state.
This indicator should also not be confused with a complete trading plan. It does not define entries, exits, position sizing, or account risk. It is best used as a structural context tool inside a broader workflow.
Risk Disclosure
This script is for chart analysis and educational use. It is not financial advice, investment advice, or a promise of outcome.
No indicator can guarantee performance, remove risk, or eliminate false readings. Market conditions change, correlations shift, and trend behavior can weaken or reverse without warning. Any decision taken from this script should be made within a broader framework that includes price structure, liquidity, volatility, timeframe alignment, and risk control.
Users are responsible for testing settings, understanding the limitations of moving-average tools, and deciding whether the information produced by the script fits their own process.
Indicator
AG Pro KAMA Efficiency Zones [AGPro Series]AG Pro KAMA Efficiency Zones
Overview
KAMA stands for Kaufman’s Adaptive Moving Average.
AG Pro KAMA Efficiency Zones is built around KAMA not as a simple trend-following line, but as an adaptive market reference for evaluating how efficiently price is moving. Instead of focusing only on direction, the script is designed to classify the quality of directional travel and separate cleaner movement from noisier, lower-clarity conditions.
The core idea is straightforward: markets do not move with the same quality all the time. Some phases show relatively efficient directional travel where price stays organized around an adaptive path. Other phases become mixed, unstable, or reversion-prone, where direction weakens and noise becomes more dominant. This script is designed to map those changes visually through adaptive KAMA-based zones, state labels, and a compact panel that summarizes the current condition.
This makes the tool structurally different from a basic moving average overlay. The objective is not to present KAMA as a one-line signal source. The objective is to use KAMA as the center of a state engine that helps users distinguish efficient trend phases from transitional or noisy environments.
What this script does
AG Pro KAMA Efficiency Zones evaluates price behavior around a Kaufman’s Adaptive Moving Average and organizes that behavior into visual market states. It does this by combining adaptive smoothing, slope behavior, distance from KAMA, and persistence around the KAMA path.
The result is a chart framework that can help answer questions such as:
• Is price moving in an efficient bullish or bearish path?
• Is the market entering a mixed transition phase?
• Has movement quality deteriorated into a noisier reversion-prone environment?
• Is the adaptive path becoming stronger, weaker, or less stable?
By turning those questions into zones and state-based chart feedback, the script aims to improve context rather than replace judgment.
Unique edge
The distinguishing feature of this script is that it does not treat KAMA as a standard moving average. Instead, it uses KAMA as the center of a layered efficiency model.
That model focuses on the quality of movement, not just the existence of movement.
Many tools emphasize momentum, volatility, volume pressure, or overbought/oversold conditions. This script is designed for a different purpose. It is a movement-quality map. It attempts to show whether price is traveling in a relatively efficient path or whether that path is degrading into a noisier condition where directional clarity may be weaker.
This means the script is less about predicting a move and more about classifying the environment in which a move is taking place.
How it works
The script begins with KAMA, or Kaufman’s Adaptive Moving Average. KAMA is useful because it adapts its responsiveness according to market behavior. In cleaner directional phases it can respond more quickly, while in noisier phases it can become more conservative. That makes it a practical centerline for an efficiency-based state model.
On top of KAMA, the script evaluates several components:
1. Efficiency behavior
The script measures how directly price is moving relative to its recent path. This helps estimate whether price action is acting efficiently or becoming more erratic.
2. KAMA slope behavior
The slope of KAMA is normalized so that directional angle can be evaluated in a more consistent way. Stronger and more persistent slope behavior supports higher-quality trend classifications.
3. Price-to-KAMA relationship
Price position around KAMA helps determine whether movement is aligned with the adaptive path or drifting around it without clear structure.
4. Persistence
The script also looks at how consistently price remains on one side of KAMA. That persistence can help distinguish a more stable move from a weaker and less durable one.
These components are blended into a composite efficiency model that drives the active state and the corresponding visual zone.
States and zones
The script classifies market behavior into four main states:
Efficient Bull Trend
This state reflects a comparatively organized bullish environment where price and adaptive slope are aligned in a cleaner upward path.
Efficient Bear Trend
This state reflects a comparatively organized bearish environment where price and adaptive slope are aligned in a cleaner downward path.
Transition
This is a mixed condition. Direction may be weakening, changing, or failing to achieve the quality required for an efficient trend classification.
Noise / Reversion
This state reflects lower movement quality, weaker slope behavior, or a more unstable relationship between price and the adaptive path.
The visual zone structure is designed to reinforce those classifications on the chart. Instead of using only one line, the script builds layered KAMA-centered bands so the user can read not only direction, but also how structured or fragile the current condition may be.
How to read the chart
The KAMA line is the adaptive spine of the script.
The outer and inner bands represent zone structure around that adaptive path. In stronger trend states, the script increases the visual emphasis of the KAMA path and its supporting zone layers. In weaker or more mixed conditions, the script softens those visuals and allows the chart to communicate reduced clarity.
State labels appear when the script confirms a meaningful shift in condition. These labels are intended to highlight a change in market state, not to promise a trade outcome.
The on-chart panel summarizes the active reading using fields such as State, Efficiency, Score Band, Adaptive Bias, Active Zone, and Stability. This gives the user a compact interpretation layer without requiring every decision to be made directly from raw chart inspection.
Key inputs
KAMA Efficiency Length
Controls the lookback used in the KAMA efficiency logic. Lower values react faster. Higher values smooth more noise.
KAMA Fast Response and KAMA Slow Response
Define the adaptive responsiveness range of the KAMA engine.
ATR Length
Used to normalize slope and distance so the tool behaves more consistently across different symbols and volatility conditions.
KAMA Slope Lookback
Controls how the script measures directional slope over time.
Persistence Length
Influences how much consistency price must show around KAMA before a move is treated as more structured.
Efficient Trend Threshold and Noise Threshold
These thresholds help determine when the model classifies a move as higher quality or lower quality.
Zone Band ATR Width
Adjusts the width of the adaptive visual zone.
State Hold Bars
Helps reduce rapid state flipping by requiring a condition to persist before the active state changes.
Panel Font Size and Label Size
Allow visual customization for different chart layouts and monitor sizes.
Alerts
The script includes state-oriented alerts intended to notify the user when market condition changes. These are designed around state transitions and movement-quality shifts rather than promotional “buy now” style messaging.
Examples include bullish and bearish efficiency shifts, transition detection, noise-zone detection, efficiency recovery, efficiency breakdown, and trend strengthening.
Alerts should be interpreted as contextual information. They are intended to support review and analysis, not to function as a standalone decision system.
What this script is not
This script is not a guarantee engine.
It does not predict future price with certainty.
It does not eliminate risk.
It is not a substitute for broader market structure analysis, execution planning, or risk management.
It should not be treated as a self-sufficient entry/exit system without additional confirmation and user judgment.
Limitations and transparency
All adaptive models are sensitive to parameter choices. Changing responsiveness, thresholds, smoothing, or persistence settings can materially affect the way states appear on the chart.
Because the script is state-based, some shifts will naturally occur after the earliest turning point in price. That is part of the tradeoff involved in using confirmation and persistence to reduce noise.
In highly erratic or news-driven conditions, classification can also become less stable. During those periods, transition or noise-oriented readings may occur more often, and users should interpret the visual output in that context.
The script is best viewed as an analytical framework for movement quality and adaptive context, not as a promise of directional success.
Practical use cases
Users may find the script useful for:
• separating cleaner trend phases from mixed or unstable phases
• filtering chart environments before applying another workflow
• evaluating whether direction is gaining or losing efficiency
• adding adaptive context to discretionary analysis
• comparing how different symbols behave around a KAMA-centered efficiency structure
Risk disclosure
This script is for analytical and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes. Market conditions can change quickly, and any indicator can produce false, delayed, or incomplete signals. Users remain responsible for their own decisions, validation process, and risk management.
In short, AG Pro KAMA Efficiency Zones is designed to help read the quality of movement, not just the direction of movement. It uses KAMA as an adaptive reference point and converts that reference into a structured zone and state model so users can assess whether price behavior appears efficient, transitional, or noisy.
Indicator
ADXVMA Multi-TF Overlay & Alerts [HYPR-run]DESCRIPTION:
ADXVMA across three lookback periods on one chart. A moving average that
uses the ADX (Average Directional Index) as its smoothing factor; fast in
trends, flat in chop. Price crossing above or below a selected ADXVMA
fires a webhook-ready alert for automated execution.
Based on Linnsoft's ADXvma implementation, combining Chande's Variable
Moving Average (VIDYA) with Wilder's ADX as the volatility measure. When
ADX is high (strong trend), the MA tracks price closely. When ADX is low
(choppy), the MA barely moves. This makes it naturally adaptive without
manual adjustment.
DISCOVERING EDGE
Adaptive MAs are popular (KAMA, VIDYA, DEMA), but most still treat
every directional change as a trend signal, producing false signals. This indicator adds a fuzzy factor dead zone that creates a third state, "fuzzy flat" that must exceed a noise threshold
before registering a directional change. We found the fuzzy flat signal to be a powerful signal for confirming consolidation within a trend on shorter look back periods and with the longer period for identifying ranging distribution/accumulation regimes.
Fuzzy ADXVMA vs ADXVMA
The fuzzy dead zone forces a consolidation state (yellow
flat) where a pivot or trend change would present otherwise. When the MA finally turns green or
red, it exceeds the noise floor and considered a more reliable directional
commitment, not a minor fluctuation.
- Flat duration before the cross determines signal quality; XO after
15+ bars flat = base resolved (high conviction), XO after 3 bars
flat = noise (low conviction).
- 7-tier regime gradient (D Trend at score 5 down to Potential Chop
at 0) shows the trend proving itself bar by bar across multiple
lookbacks.
- Two alert systems with multi-layer filtering (not vanilla crossovers).
Regime-confirmed fires only at early pivots. Volatility-confirmed
fires only when bar participation validates the MA shift.
FEATURES
- Three lookbacks: short, long, weekly
- Fuzzy flat detection (dead zone prevents false trend changes in chop)
- Optional ATR volatility scaling (shorter period in high-vol regimes)
- Dashboard with 7-tier regime gradient and event badge
- Two alert systems with multi-layer filtering (not vanilla crossovers)
- Regime-confirmed: price vs ADXVMA, only at early pivots (score 1-2)
- Volatility-confirmed: ADXVMA momentum shift + ATR bar expansion
- Select which lookback triggers regime-confirmed alerts
- Color-coded: green (up), red (down), yellow (flat)
- Dashboard dark/light theme toggle for any chart background
HOW IT WORKS
ADX measures trend strength on a 0-1 scale and feeds it directly into
the MA smoothing factor. High ADX = MA tracks price. Low ADX = MA holds
still. The fuzzy factor adds a dead zone so tiny movements register as
flat instead of false trend changes. Three simultaneous lookbacks give
you short-term, medium-term, and weekly context without switching charts.
DASHBOARD
Regime state at a glance. The header row shows a badge that flags
conflicting events; the second row shows the current regime label with
a 7-tier color gradient; the third row shows direction pivot events.
ALERTS
Two independent alert systems, both multi-layer filtered. Regime-confirmed:
the regime pivot is the signal; price crossing the selected ADXVMA is just
the trigger. Only fires at early pivots (score 1-2), ignoring mid-trend
crosses entirely. Volatility-confirmed: the ATR bar expansion is the
signal; the ADXVMA momentum shift is the trigger. Only fires when the bar
shows real participation (high/low extends beyond open +/- ATR), ignoring
low-range bars. Both fire JSON payloads; works with any webhook receiver.
CREDITS
ADXVMA: Linnsoft
ADX: J. Welles Wilder (1978)
VIDYA: Tushar S. Chande, TASC March 1992 Indicator
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EMA (15 EMA's in 1)English Version
This is a simple indicator with built-in EMAs and flexible customization.
You can use the default EMA values or modify them according to your strategy.
If you need an additional EMA, simply add it in the code and enable it in the settings.
Example:
ema2222 = Ema(2222)
s2222 = input.bool(true, "2222")
plot(s2222 ? ema2222 : na, "2222", color=color.white, linewidth=1)
To change the period — replace 2222 with any value you prefer.
To add another EMA — duplicate the lines and specify a new period.
RU. Это простой индикатор со встроенными EMA и возможностью гибкой настройки.
Вы можете использовать предустановленные значения EMA или изменить их под свою стратегию.
Если вам нужна дополнительная EMA, просто добавьте её в код и настройках.
Для примера:
ema2222 = Ema(2222)
s2222 = input.bool(true, "2222")
plot(s2222 ? ema2222 : na, "2222", color=color.white, linewidth=1)
Чтобы изменить период — замените число 2222 на любое нужное значение.
Чтобы добавить ещё одну EMA — продублируйте строку и укажите новый период
Indicator
Price per m2 Argentina CABA USD/m2 - SMAs (1999-2025)Overview
This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) with monthly data (2012–2025) to reconstruct a long-term residential real estate pricing series.
All values were manually digitized, cleaned, and consolidated from public reports and market datasets to create a continuous analytical framework for historical valuation analysis.
The script also includes SMA20, SMA50, and SMA100 calculated over the custom dataset to support long-term trend analysis, cycle identification, and macro structural evaluation.
Data Sources
1999–2011 (Annual): Maure Real Estate Market Reports
2012–2020 (Monthly): UCEMA Real Estate Index
2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor
All datasets referenced are derived from publicly available reports and institutional publications.
How to Use This Indicator
*USE ON THE 1 MONTH TIMEFRAME*
This tool enables investors, developers, and market analysts to:
• Identify multi-year trend shifts in residential real estate valuations
• Compare pricing cycles against Argentine macroeconomic environments
• Map long-term support and resistance zones
• Detect early signs of market recovery or contraction
• Integrate real estate fundamentals with technical analysis frameworks
The moving averages help visualize structural trends that are typically less observable in traditional property datasets.
About This Work
This historical series was reconstructed and coded by Engineer Francisco Michelich through the consolidation of market research, statistical normalization, and technical analysis methodologies.
This script does not represent an official financial index and is not affiliated with the original data institutions. It is intended solely as an educational and analytical tool for visualizing long-term trends in the Buenos Aires, Argentina residential real estate market. Indicator
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Multi-indicator Signal Builder [Skyrexio]Overview
Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof.
It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label.
Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions.
This script aims to simplify strategy creation and analysis , making it a powerful toolkit for technical traders.
Indicators Overview
RSI (Relative Strength Index)
Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale.
Ultimate Oscillator (UO)
Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences.
Bollinger %B
Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold).
Moving Average (MA)
Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers.
ADX (Average Directional Index)
Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend.
Stochastic
Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals.
MACD (Moving Average Convergence/Divergence)
Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers.
PSAR (Parabolic SAR)
Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR.
MFI (Money Flow Index)
Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold.
CCI (Commodity Channel Index)
Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe.
Heikin Ashi
A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends.
TV Screener
A placeholder condition designed to integrate external buy/sell logic (like a PulseWire “Buy” or “Sell” rating). Users can override or reference external signals if desired.
Unique Features
Multi-Indicator Entry and Exit
You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers.
Single-Entry / Single-Exit with Intrabar SL/TP
The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets.
Time Window Filter
Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading.
Condition Table and Statistics
A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc.
Seamless Alerts and Automation
• Configure alerts in PulseWire using “Any alert() function call.”
• The script sends JSON alert messages you can route to your own webhook.
• The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges.
Optional MA/PSAR Plots
For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators.
Methodology
Multi-Indicator Entry Logic
When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers.
Single-Entry Intrabar SL/TP
• One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close.
• Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end.
Exit Logic
All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close.
Time Filter
Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval.
Justification of Methodology
Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals.
Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios.
Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots).
Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods.
How to Use
Add the Script to Your Chart
• In PulseWire, open Indicators , search for “Multi-indicator Signal Builder” .
• Click to add it to your chart.
Configure Inputs
• Time Filter: Set a start and end date for trades.
• Alerts Messages: Input any JSON or text payload needed by your external service or bot.
• Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry.
• Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels.
Set Up Alerts
• In PulseWire, select “Create Alert” → Condition = “Any alert() function call” → choose this script.
• Entry Alert: Triggers on the script’s entry signal.
• Close Alert: Triggers on the script’s close signal (or if SL/TP is hit).
• Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker).
Visual Reference
• A condition table at the bottom summarizes active signals.
• Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics.
Backtesting Guidelines
Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing.
Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions.
Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance.
Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability.
Example of statistic calculation
Test Period: 2023-01-01 to 2025-12-31
Initial Capital: $1,000
Commission: 0.1%, Slippage ~5 ticks
Trade Count: 680 (varies by strategy conditions)
Win rate: 75.44% (varies by strategy conditions)
Net Profit: +90.14% (varies by strategy conditions)
Disclaimer
This indicator is provided strictly for informational and educational purposes.
It does not constitute financial or trading advice.
Past performance never guarantees future results.
Always test thoroughly in demo environments before using real capital.
Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe! Indicator
cd_VW_Cx IMPROVED - Quant VWAP System: Regime, Magnets & Z-ScoQuant VWAP System: Regime, Magnets & Z-Score Matrix
This indicator is a comprehensive Quantitative Trading System designed to move beyond simple support and resistance. Instead of static lines, it uses Statistical Probability (Z-Score) and Standard Deviation to define the current market regime, identify institutional value zones, and project high-probability liquidity targets.
It is engineered for Day Traders and Scalpers (Crypto & Futures) who need to know if the market is Trending, Ranging, or preparing for a Breakout.
1. The "Regime" System (Standard Deviation Bands)
The core engine anchors a VWAP (Volume Weighted Average Price) to your chosen timeframe (Daily, Weekly, or Monthly) and projects volatility bands based on market variance.
The Trend Zone (Inner Band / 1.0 SD): This is the "Fair Value" zone. In a healthy trend, price will pull back into this zone and hold. A hold here signals a high-probability continuation (Trend Following).
The Reversion Zone (Outer Band / 2.0 SD): This represents a statistical extreme. Price rarely sustains movement beyond 2 Standard Deviations without a reversion. A touch of this band signals "Overbought" or "Oversold" conditions.
2. Liquidity Magnets (Virgin VWAPs)
The script automatically tracks "Unvisited VWAPs" from previous sessions. These are price levels where significant volume occurred but have not yet been re-tested.
The Logic: Algorithms often target these "open loops." The script visualizes them as Blue Dashed Lines with price tags.
Smart Scaling (Anti-Scrunch): Includes a custom "Ghost Engine" that automatically hides or "ghosts" magnets that are too far away. This prevents your chart from being squashed (scrunched) on lower timeframes, keeping your candles perfectly readable while still tracking targets in the background.
3. The Quant Matrix (Dashboard)
A real-time Heads-Up Display (HUD) that interprets the data for you:
Regime: Detects Volatility Squeezes. If the bands compress, it signals "⚠ SQUEEZE", warning you to stop mean-reversion trading and prepare for an explosive breakout.
Bias: Color-coded Trend Direction (Bullish/Bearish) based on VWAP slope.
Signal: actionable text prompts such as "BUY DIP" (Trend Following), "FADE EXT" (Mean Reversion), or "PREP BREAK" (Squeeze).
4. Visual Intelligence
Bold Day Separators: Clear, vertical dotted dividers with Date Stamps to instantly separate trading sessions.
Dynamic Labels: Floating labels on the right axis identify exactly which deviation level is which, preventing chart confusion.
How to Use
Strategy A: The Trend Pullback (continuation)
Check Matrix: Ensure Bias is BULLISH (Green).
Wait: Allow price to pull back into the Inner Band (Dark Green Zone).
Trigger: If price holds the Center VWAP or the -1.0 SD line, enter Long.
Target: The next Liquidity Magnet above or the +2.0 SD band.
Strategy B: The Reversion Fade (Counter-Trend)
Check Matrix: Ensure price is labeled "EXTREME" or Signal says "FADE EXT".
Trigger: Price touches or pierces the Outer Band (2.0 SD).
Action: Enter counter-trend (Short) with a target back to the Center VWAP (Mean Reversion).
Strategy C: The Magnet Target
Identify a "MAGNET" line (Blue Dashed) near current price.
These act as high-probability Take Profit levels. Price will often rush to these levels to "close the loop" before reversing.
Settings
Anchor: Daily (default), Weekly, or Monthly.
Magnet Focus Range: Adjusts how aggressively the script hides distant magnets to fix chart scaling (Default: 2%).
Visuals: Fully customizable colors, label sizes, and dashboard position. Indicator
Indicator
Indicator
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering)
Description:
Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System."
The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement.
Why this combination? (The Logic Behind the Mashup)
Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets.
Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary.
How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades:
Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend).
Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend).
The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital.
Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues:
Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly.
Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly.
Thick Line (HMA): The main line changes color based on the trend.
Green: Bullish Confluence.
Red: Bearish Confluence.
Gray: Divergence/Choppy (No Trade Zone).
Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss.
Strategy Settings
HMA Length: Default is 50 (Mid-term trend).
ATR Factor/Period: Default is 3.0/10 (Standard for trend catching).
Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree.
Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital. Strategy
Indicator
Fixed High Timeframe Moving AveragesFixed High Timeframe Moving Averages (W/D/4H)
Summary
This indicator plots essential, high-timeframe (HTF) Moving Averages onto your chart, **no matter which timeframe you are currently viewing**.
It is designed for traders who need multi-timeframe context at a glance. Stop switching charts to see where the 200-Week or 50-Day MA is—now you can see all critical HTF levels directly on your 5-minute (or any other) chart.
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Who it’s for
Traders who rely on moving averages but like to work on lower chart timeframes while keeping higher timeframe context in sight. If you scalp on 1–15m yet want Weekly/Daily/4H MAs always visible, this is for you.
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What it shows
Pinned (“fixed”) moving averages from higher timeframes—Weekly (20/100/200) , Daily (50/100/200/365) and 4H (200) —rendered on any chart timeframe. Your favorite HTF MAs stay on screen no matter what TF you’re currently analyzing.
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Features
* **MA types:** SMA, EMA, VWMA, Hull.
* **Fully configurable:** toggle each line, set periods, colors, and thickness.
* **Two alert modes (see below):** intrabar vs confirmed HTF close.
* **Works on any symbol & chart TF** using `request.security` to fetch HTF data.
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Alerts & Modes
This indicator solves the biggest problem with MTF alerts: false signals. You can choose one of two modes:
1. **Intrabar mode** — compares current chart price to the HTF MA. Triggers as soon as price crosses the HTF line; great for early signals but may update until the HTF bar closes.
2. **Confirmed mode** — checks HTF close vs HTF MA. Signals only on the higher-TF bar close; fewer false starts, no intrabar repainting on that TF.
Per-line *Cross Above / Cross Below* conditions are provided for all enabled MAs (e.g., “20W — Cross Above”, “365D — Cross Below”, etc.).
**How to use alerts:** add the script → “Create Alert” → pick any condition from the script’s list.
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Why this helps
* Keeps Weekly/Daily structure visible while you execute on LTF.
* Classic anchors (e.g., 200D, 20W/100W/200W) are popular for trend bias, dynamic support/resistance, and pullback context.
* Lets you standardize MA references across all your lower-TF playbooks.
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Notes on confirmation & repainting
* Intrabar signals can change until the higher-TF bar closes (that’s expected with multi-TF data).
* Confirmed mode waits for the HTF close—cleaner, but later. Choose what fits your workflow.
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Quick setup
1. Pick `MA Type` (SMA/EMA/VWMA/Hull).
2. Enable the HTF lines you want (Weekly 20/100/200; Daily 50/100/200/365; 4H 200).
3. Choose `Alert Mode` (Intrabar vs Confirmed).
4. Style colors/widths to taste and set alerts on the lines you care about.
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Good practice
* Combine HTF MAs with price action (swings, structure, liquidity grabs) rather than using them in isolation.
* Always validate signals in your execution TF and use a risk plan tailored to volatility.
* Protect your capital: position sizing, stops, and disciplined risk management matter more than any single line on the chart.
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Disclaimer
For educational/informational purposes only; not financial advice. Trading involves risk—manage it responsibly. Indicator
MA Oscillator Map [ChartPrime]⯁ OVERVIEW
The MA Oscillator Map transforms moving average deviations into an oscillator framework that highlights overextended price conditions. By normalizing the difference between price and a chosen moving average, the tool maps oscillations between -100 and +100 , with gradient coloring to emphasize bullish and bearish momentum. When the oscillator cools from extreme levels (-100/100), the indicator marks potential reversal points and extends short-term levels from those extremes. A compact side table and dynamic bar coloring make momentum context visible at a glance.
⯁ KEY FEATURES
Oscillator Mapping (±100 Scale):
Price deviation from the selected MA is normalized into a percentage scale, allowing consistent overbought/oversold readings across assets and timeframes.
// MA
MA = ma(close, maLengthInput, maTypeInput)
diff = src - MA
maxVal = ta.highest(math.abs(diff), 50)
osc = diff / maxVal * 100
Customizable MA Types:
Choose SMA, EMA, SMMA, WMA, or VWMA to fine-tune the smoothing method that powers the oscillator.
Extreme Signal Diamonds:
When the oscillator retreats from +100 or -100, the script plots diamonds to flag potential exhaustion and reversal zones.
Dynamic Levels from Extremes:
Upper and lower dotted lines extend from recent overextension points, projecting temporary barriers until broken by price.
Gradient Bar Coloring:
Candles and oscillator values adopt a bullish-to-bearish gradient, making shifts in momentum instantly visible on the chart.
Compact Momentum Map:
A table at the chart’s edge plots the oscillator position with a gradient scale and live percentage label for precise momentum tracking.
⯁ USAGE
Watch for diamonds after the oscillator exits ±100 — these mark potential exhaustion zones.
Use extended dotted levels as short-term reference lines; if broken, trend continuation is favored.
Combine gradient bar coloring with oscillator shifts for confirmation of momentum reversals.
Experiment with different MA types to adapt sensitivity for trending vs. ranging markets.
Use the side momentum table as a quick-read gauge of trend strength in percent terms.
⯁ CONCLUSION
The MA Oscillator Map reframes moving average deviations into a visual momentum tracker with extremes, reversal signals, and dynamic levels. By blending oscillator math with intuitive visuals like gradient candles, diamonds, and a live gauge, it helps traders spot overextension, exhaustion, and momentum shifts across any market. Indicator
Indicator
Stalonte EMA - Stable Long-Term EMA with AlertsStalonte EMA - The Adaptive & Stable EMA - Almost Eternal
Here's why you will love "Stalonte":
The Stalonte (Stable Long-Term EMA) is a highly versatile trend-following tool. Unlike standard EMAs with fixed periods, it uses a configurable smoothing constant (alpha), allowing traders to dial in the exact level of responsiveness and stability they need. Finding the "sweet spot" (e.g., alpha ~0.03) creates a uniquely effective moving average: it is smooth enough to filter out noise and identify safe, high-probability trends, yet responsive enough to provide actionable signals without extreme lag. It includes alerts for crossovers and retests.
Pros and Cons of the Stalonte EMA
Pros:
Unparalleled Adaptability: This is its greatest strength. The alpha input lets you seamlessly transform the indicator from an ultra-slow "trend-revealer" (low alpha) into a highly effective and "safe" trend-following tool (medium alpha, e.g., 0.03), all the way to a more reactive one.
Optimized for Safety & Signal Quality: As you astutely pointed out, with the proper setting (like 0.03), it finds the perfect balance. It provides a smoother path than a standard 20-50 period EMA, which reduces whipsaws and false breakouts, leading to safer, higher-confidence signals.
Superior Trend Visualization: It gives a cleaner and more intuitive representation of the market's direction than many conventional moving averages, making it easier to "see" the trend and stick with it.
Objective Dynamic Support/Resistance: The line created with a medium alpha setting acts as a powerful dynamic support in uptrends and resistance in downtrends, offering excellent areas for entries on retests with integrated alerts.
Cons:
Requires Calibration: The only "con" is that its performance is not plug-and-play; it requires the user to find their optimal alpha value for their specific trading style and the instrument they are trading. This demands a period of testing and customization, which a standard 50-period EMA does not.
Conceptual Hurdle: For traders only familiar with period-based EMAs, the concept of a "smoothing constant" can be initially confusing compared to simply setting a "length."
In summary:
The Stalonte EMA is not a laggy relic. It is a highly sophisticated and adaptable tool. Its design allows for precise tuning, enabling a trader to discover a setting that offers a superior blend of stability and responsiveness—a "sweet spot" that provides safer and often more effective signals than many traditional moving averages. Thank you for pushing for a more accurate and fair assessment.
Use Case Example:
You can combine it with classical EMAs to find the perfect entry.
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