Trading Module [BackQuant]Trading Module
A modular overlay that lets you combine three core components, a Trend Model, an Impulse Model, and an optional Stop Loss framework, then layer in a multi-symbol RSI screener plus a full price action toolkit (market structure, FVGs, order blocks, volumetric S/R). Built for discretionary execution and study, not for blind automation.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What this script is
This indicator is designed like a โmodule pickerโ. Instead of forcing one opinionated system, it gives you selectable models that can be combined into a workflow:
1) Trend Model , answers โwhat side is the market biased to?โ
2) Impulse Model , answers โis there currently expansion, pressure, or a momentum event worth paying attention to?โ
3) Stop Loss Layer , answers โwhere are reasonable invalidation zones if Iโm managing risk manually?โ
4) RSI Screener , answers โwhat are my watchlist assets doing right now, on multiple timeframes, in one place?โ
5) Price Action Concepts , answers โwhat structure levels, imbalances, institutional zones, and volume-based levels matter?โ
You can run it as a lightweight overlay (trend + impulse only), or turn on the heavier price action stack when you want deeper context.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
How to use it, the intended workflow
Step 1, pick your Trend Model
The trend model is your baseline directional filter. It is meant to reduce โrandom tradingโ by keeping you aligned with the dominant structure or momentum bias.
Trend Models (examples)
Typical usage:
- If the trend model reads bullish, you focus on long setups and avoid shorting into strength.
- If the trend model reads bearish, you focus on short setups and avoid catching bottoms.
- If the trend model is neutral or mixed, you reduce size or wait for confirmation.
What you can expect from the options (without exposing internal weighting or thresholds):
- Universal Trend+ , a composite trend regime model that blends multiple families of trend evidence. It is designed to be more robust than a single indicator and reduce โone-indicator failure modesโ.
- EMA Cross , a classic fast vs slow trend bias. Simple, responsive, but can whipsaw in ranges.
- DEMA ATR , a smoother trend anchor that adapts to volatility. Often cleaner in chop than basic crosses.
- Relative Strength Overlay , a strength scoring style bias built from an RSI-style internal scoring process. Useful when you want โstrength stateโ more than โmoving average stateโ.
Color conventions:
- Long color and short color are user-defined, so you can keep consistent visuals across your BackQuant suite.
Step 2, pick your Impulse Model
Impulse is separate from trend on purpose. Trend answers direction, impulse answers timing. A market can be trending but not currently impulsing, or impulsing in a counter-trend squeeze.
Impulse Models (examples)
How to use impulse signals:
- Treat impulse as โpermissionโ to engage, not as a standalone trade trigger.
- Best pairing is trend aligned impulse, meaning bullish trend model plus bullish impulse, bearish plus bearish.
- Counter-trend impulses can be used as warning signals, take-profit cues, or short-lived mean reversion opportunities, depending on your style.
The impulse options in this module are built around pressure and expansion detection. They are meant to identify moments where conditions shift from โnoiseโ to โinitiative activityโ.
Step 3, choose a Stop Loss framework
This script includes optional stop visualization modes. These are not meant to be blindly used as a โone true stopโ, they are tools for structuring invalidation around volatility or defined percentage bands.
Stop Loss (examples)
Stop loss options:
- None , no overlay.
- Dynamic , a volatility-aware band. Useful when you want stops to widen in high vol and tighten in low vol.
- Fixed , preset percentage bands. Useful for quick structure around risk units, scaling, or rule-based journaling.
- Bar-to-Bar , a micro-structure invalidation reference that uses the prior bar as a risk anchor. Useful for very tight management and fast invalidation.
How to apply them properly:
- Stops should be placed where the trade idea is wrong, not where you โfeel painโ.
- A volatility stop is usually an environment stop, while a fixed stop is usually a plan stop.
- If you use impulses for entries, your stop should account for impulse volatility, otherwise you get stopped on the exact move youโre trying to capture.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
RSI Screener module
This module is built for scanning multiple symbols and timeframes from one chart, without switching tabs.
RSI Screener (example)
What it does:
- Lets you define up to 10 symbols (defaults to major crypto pairs).
- Each slot can have its own timeframe.
- Computes an RSI value per symbol and assigns a directional state relative to a midline threshold.
- Displays a stacked overlay readout using a monospace label style for quick scanning.
How to use it:
- Set slots 1โ5 as your majors, 6โ10 as your rotation candidates.
- Use higher timeframes for regime, lower timeframes for timing.
- Use the midline threshold as a โtrend biasโ line, not an overbought or oversold line.
- Treat the screener as context, not a signal. Your chart model and price action still decide the trade.
Performance note:
- Screeners are heavy by nature because each symbol is a security() request. Keep the number of enabled slots reasonable if you are on lower-end hardware or running many scripts.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Price Action Concepts and Market Structure stack
This script includes a full price action toolkit intended to provide โwhereโ context, levels, zones, and structural breaks, so the trend and impulse models are not operating in a vacuum.
Price Action Concepts / Market Structure (example)
This section is split into five major blocks:
1) Market Structure, Swing and Internal
You can enable swing structure and internal structure separately, with independent lookbacks.
- Swing structure tracks larger, slower pivots, better for macro trend structure.
- Internal structure tracks tighter pivots, better for entry timing and micro shifts.
It prints structure events as:
- BOS (Break of Structure), continuation-style break.
- MSB (Market Structure Break), shift-style break. Some traders call this CHoCH, here itโs presented as an MSB concept.
Usage:
- Swing BOS is good for confirming a larger regime.
- Internal structure is good for timing entries within the swing context.
- If internal flips but swing does not, treat it as a warning, not necessarily a full reversal.
2) Fair Value Gaps (FVG)
Optional imbalance boxes that highlight displacement zones.
Key controls:
- Timeframe selection (or current timeframe).
- How many to keep on chart.
- How far to extend them right.
Usage:
- FVGs are best treated as โareas of interestโ, not guaranteed support/resistance.
- They help you frame where price might rebalance after an impulse event.
3) Order Blocks (OB)
Optional institutional-style zones detected from structure and candle logic, with filters.
Key controls:
- Fractal type (3 or 5) changes how โstrictโ structure detection is.
- Break method (close vs high/low) changes confirmation strictness.
- Optional filter with FVG distance to reduce low-quality blocks.
- Extend, delete-when-filled, and label options for chart hygiene.
Usage:
- OBs are strongest when aligned with swing context and confirmed by volume or displacement.
- Filled blocks are informational, they can be removed to reduce clutter.
4) Volumetric Support and Resistance
This module creates support and resistance โzonesโ based on high-volume pivot events, then manages them over time.
Key controls:
- Detection sensitivity, volume multiplier, and lookback period.
- Minimum distance between zones to avoid stacking duplicates.
- Remove broken, extend, and volume display toggles.
How to interpret:
- Levels are thicker zones, not single price lines.
- โTouchesโ are tracked as an interaction count, useful for identifying repeatedly defended or attacked zones.
- High-volume zones are visually emphasized, these tend to matter more than low volume pivots.
Usage:
- Pair volumetric levels with impulse signals, an impulse into a high-volume resistance zone is not the same as an impulse in open space.
- Use volumetric levels as structure anchors for invalidation and targets.
5) Alerts
The price action stack includes alerts for new levels, touches, breaks, and order block creation or interaction.
Use alerts for:
- Watchlist management, you get notified when price hits an area.
- Avoiding screen-watching, especially when you run multi-timeframe setups.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Core philosophy of the module
This indicator is not โone model to rule them allโ. It is meant to let you build a trading process:
- Trend decides bias.
- Impulse decides engagement timing.
- Price action decides location and structure.
- Stops decide risk containment.
- Screener decides where to look.
If you only use one layer, you are throwing away most of the edge this style of framework is designed to create. The strength is in confluence and filtering.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Suggested presets
Preset A, clean trend-following overlay
- Trend Model, Universal Trend+ or DEMA ATR
- Impulse Model, either option
- Stop Loss, Dynamic
- Price action modules off (structure off, FVG off, OB off, volumetric off)
- Screener on (high timeframe)
Preset B, execution and structure mode
- Trend Model on
- Impulse Model on
- Market Structure on (swing + internal)
- FVG on (current timeframe or one higher)
- Order Blocks on with FVG filter
- Volumetric S/R on
- Stop Loss, Dynamic or Bar-to-Bar depending on speed
Preset C, watchlist scanner mode
- Screener on
- Minimal chart overlays on
- Use alerts for touches and breaks
- Only open charts that show alignment across trend and impulse
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Notes and limitations
- This is a heavy script when multiple modules are enabled, because it draws objects and can request multiple symbols.
- The models are designed to be modular, so not every combination will be optimal for every market or timeframe.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Quick input map
Main Settings/Models
- Select Trend Model
- Select Impulse Model
- Select Stop Loss
- Show Screener
- Long/Short colors
Screener Settings
- Label size and offsets
- RSI length and midline
- Up to 10 symbol slots with per-slot timeframe and enable toggle
Market Structure
- Swing and internal structure mode and lookbacks
- Bull and bear colors
Fair Value Gaps
- Enable, count, timeframe, extend, colors
Order Blocks
- Enable, labels, fractal type, break method
- FVG filter and distance
- Lookback, extend, delete-when-filled, colors
Volumetric S/R
- Sensitivity, volume multiplier, analysis window
- Level limits, distance rules, extension and cleanup rules
- Volume display preferences
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
End note
This is intended as a full visual decision-support module for discretionary traders who want trend, timing, structure, and watchlist scanning in one place. Use it to build a repeatable process, then validate that process with proper testing and journaling before risking real capital.
Trend
NeuraLine v1Neuraline is a daily market-regime indicator designed to help traders stay aligned with the dominant trend while avoiding noise, false flips, and emotional overtrading.
Instead of reacting to every small move, Neuraline focuses on structural trend confirmation, combining trend strength, regime persistence, and higher-timeframe context into one clean visual layer.
1. Anti-Flip Trend Logic
Neuraline uses a buffered EMA regime system with built-in hysteresis.
This means the indicator does not flip trend on every minor crossover, but only when price confirms a meaningful shift.
Result: fewer false signals, more stability.
2. Market Strength Filter (ADX)
Trend changes are only validated when market strength confirms the move.
This prevents signals during low-volatility, choppy conditions where most indicators fail.
3. Clear Market Regime: Bullish or Bearish
Neuraline always operates in one of two states:
โข Bullish regime
โข Bearish regime
No confusion. No over-analysis.
Every signal is contextualized within the current regime.
4. Higher-Timeframe Structure via 50 / 200 Moving Averages
The integrated 50 & 200 day moving averages provide long-term market context:
โข MA lines automatically adapt their color based on bullish or bearish alignment
โข A subtle ribbon highlights the structural zone between them
This makes it instantly clear whether price action is occurring within a healthy trend or against macro structure.
5. Minimal, Emotion-Free Signals
Buy and sell signals are only triggered on confirmed regime transitions, not on every fluctuation. Signals are displayed as clean, non-intrusive icons directly on the chart โ no clutter, no noise.
6. Designed for Daily & Swing Traders
Neuraline is optimized for:
โข Daily charts
โข Swing trading
โข Position management
โข Market bias confirmation
It is not a scalping tool.
It is a decision-filter.
Momentum Quality Index (MQI)
Welcome to the Momentum Quality Index! This indicator aims to provide insight into short term trends by measuring the efficiency of price movement relative to the momentum of the trend. This indicator is designed to work better on short term time frames, capturing the micro-level of trends for practices such as day-trading, options trading, and shorter term swing trading.
How to read:
The main way of reading this indicator is through moving average crossovers. Upwards crossovers indicates uptrends whereas downwards crossovers indicates downtrends.
Customization:
This indicator includes a few adjustable options for fine tuning, such as optimized smoothing options and moving average length for efficiency in spotting reversals.
RMO [modded LazyBear] OscillatorBoth Yellow lines mean short or PUT option.. Both BLUE lines mean LONG or Call options. Using this to watch structure, and trend bias. this is only good for entry, and Not stop Loss. Don't be on the wrong side of trend
Volume-Gated Trend Ribbon [QuantAlgo]๐ข Overview
The Volume-Gated Trend Ribbon employs a selective price-updating mechanism that filters market noise through volume validation, creating a trend-following system that responds exclusively to significant price movements. The indicator gates price updates to moving average calculations based on volume threshold crossovers, ensuring that only bars with significant participation influence the trend direction. By interpolating between fast and slow moving averages to create a multi-layered visual ribbon, the indicator provides traders and investors with an adaptive trend identification framework that distinguishes between volume-backed directional shifts and low-conviction price fluctuations across multiple timeframes and asset classes.
๐ข How It Works
The indicator first establishes a dynamic baseline by calculating the simple moving average of volume over a configurable lookback period, then applies a user-defined multiplier to determine the significance threshold:
avgVol = ta.sma(volume, volPeriod)
highVol = volume >= avgVol * volMult
The gated price mechanism employs conditional updating where the close price is only captured and stored when volume exceeds the threshold. During low-volume periods, the indicator maintains the last qualified price level rather than tracking every minor fluctuation:
var float gatedClose = close
if highVol
gatedClose := close
Dual moving averages are calculated using the gated price input, with the indicator supporting various MA types. The fast and slow periods create the outer boundaries of the trend ribbon:
fastMA = volMA(gatedClose, close, fastPeriod)
slowMA = volMA(gatedClose, close, slowPeriod)
Ribbon interpolation creates intermediate layers by blending the fast and slow moving averages using weighted combinations, establishing a gradient effect that visually represents trend strength and momentum distribution:
midFastMA = fastMA * 0.67 + slowMA * 0.33
midSlowMA = fastMA * 0.33 + slowMA * 0.67
Trend state determination compares the fast MA against the slow MA, establishing bullish regimes when the faster average trades above the slower average and bearish regimes during the inverse relationship. Signal generation triggers on state transitions, producing alerts when the directional bias shifts:
bullish = fastMA > slowMA
longSignal = trendState == 1 and trendState != 1
shortSignal = trendState == -1 and trendState != -1
The visualization architecture constructs a three-tiered opacity gradient where the ribbon's core (between mid-slow and slow MAs) displays the highest opacity, the inner layer (between mid-fast and mid-slow) shows medium opacity, and the outer layer (between fast and mid-fast) presents the lightest fill, creating depth perception that emphasizes the trend center while acknowledging edge uncertainty.
๐ข How to Use This Indicator
โถ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (fast MA crosses above slow MA) and short/sell signals when transitioning to bearish (fast MA crosses below slow MA). Because these crossovers only reflect volume-validated price movements, they represent significant level of participation rather than random noise, providing higher-conviction entry signals that filter out false breakouts occurring on thin volume.
โถ Ribbon Width Dynamics: The spacing between the fast and slow moving averages creates the ribbon width, which serves as a visual proxy for trend strength and volatility. Expanding ribbons indicate accelerating directional movement with increasing separation between short-term and long-term momentum, suggesting robust trend development. Conversely, contracting ribbons signal momentum deceleration, potential trend exhaustion, or impending consolidation as the fast MA converges toward the slow MA.
โถ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and market conditions. Default provides balanced trend identification suitable for swing trading on daily timeframes with moderate volume filtering and responsiveness. Fast Response delivers aggressive signal generation optimized for intraday scalping on 1-15 minute charts, using lower volume thresholds and shorter moving average periods to capture rapid momentum shifts. Smooth Trend offers conservative trend confirmation ideal for position trading on 4-hour to weekly charts, employing stricter volume requirements and extended periods to filter noise and identify only the most robust directional moves.
โถ Built-in Alerts: Three alert conditions enable automated monitoring: Bullish Trend Signal triggers when the fast MA crosses above the slow MA confirming uptrend initiation, Bearish Trend Signal activates when the fast MA crosses below the slow MA confirming downtrend initiation, and Trend Change alerts on any directional transition regardless of direction. These notifications allow you to respond to volume-validated regime shifts without continuous chart monitoring.
โถ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments. The adjustable fill opacity control (0-100%) allows fine-tuning of ribbon prominence, with lower opacity values create subtle background context while higher values produce bold trend emphasis. Optional bar coloring extends the trend indication directly to the price bars, providing immediate directional reference without requiring visual cross-reference to the ribbon itself.
4HR JRSX Swing Bias (RB Trading)4HR JRSX Swing Bias (RB Trading)
The 4HR JRSX Swing Bias is a higher timeframe swing analysis script designed to evaluate directional pressure, momentum decay, and price acceptance on the four hour chart. It is built specifically for GBPUSD and EURUSD and is not intended for use on other markets or timeframes.
It highlights conditions where directional pressure weakens, rotates, and is then confirmed by price behavior.
Intended Use and Scope
โข Timeframe: 4 hour only
โข Markets: GBPUSD and EURUSD
โข Style: Swing bias and rotation analysis
โข Signal frequency: Intentionally low, typically 10 to 15 setups per year per pair
โข Alerts: Available for confirmed setups
โข Not designed for Asia session conditions
Core Framework
The script operates through a sequential three-stage process. A setup can only appear when all stages align.
Directional pressure evaluation
Momentum exhaustion and rotation
Candle-based price confirmation
This structure prevents signals from appearing during noise or low-quality market conditions.
Directional Pressure Evaluation
The first stage measures directional pressure across multiple four hour candles using a smoothed strength calculation. This step evaluates whether bullish or bearish participation is dominant over time rather than reacting to isolated price spikes.
When directional pressure is unclear or neutral, the script remains inactive.
Momentum Exhaustion and Rotation
Once directional pressure is established, the script monitors for loss of momentum. Exhaustion is identified when pressure fails to expand despite continued price movement.
This decay often appears near the later stages of a directional move and signals increased probability of rotation rather than continuation.
Price Acceptance and Confirmation
The final stage requires price to confirm the rotation through candle behavior. No intrabar logic is used.
โข Buy confirmation requires either
โ a bullish candle close following downside pressure exhaustion
โ or a pinbar showing strong rejection of lower prices
โข Sell confirmation requires either
โ a bearish candle close following upside pressure exhaustion
โ or a pinbar showing strong rejection of higher prices
A setup is only confirmed after the four hour candle has fully closed.
Stop and Target Reference Plotting
When a setup is confirmed, the script plots visual reference levels:
โข A stop reference beyond the exhaustion zone where the setup would be invalidated
โข A projected target reference calculated using a fixed 4R multiple relative to the stop distance
These levels are provided for structural planning and consistency. They do not represent predictions or guarantees.
Why the Four Hour Chart Is Required
The pressure and exhaustion calculations are tuned to higher-timeframe behavior. On lower timeframes, momentum cycles occur too rapidly and lead to frequent false rotations.
The four hour chart provides the balance required for meaningful pressure, decay, and acceptance to develop.
Session Considerations
The script is not intended for Asia session evaluation. Reduced liquidity during those hours can distort momentum behavior and reduce signal quality. Best evaluation occurs during or after London and New York participation.
Chart Presentation Guidelines
โข Use the script on a clean chart
โข Avoid stacking other oscillators or momentum tools
โข If drawings are used, they should be limited to swing structure or key price levels
All visual elements should support understanding of the script output.
Important Notes
This script analyzes historical price behavior to identify structural swing conditions. It does not predict future price movement or ensure outcomes. Users should test the tool, understand its confirmation rules, and apply independent risk management.
MWTI Introduction onChartMarket Wave TransIndex (MWTI)
Colors show when to attack and when to rest.
โข Background = current market wave
โข Masked zones = low momentum (rest)
โข Upper dots = higher timeframe bias
No symbols, no predictions.
Just read the market state.
Works on any market, any timeframe.
Introduction (sample) is optimized for the 15m chart.
Try it on any market in 15m.
-------------------------------------------------------
Neural Markets [Institutional]Neural Markets is a proprietary technical analysis algorithm designed for structural trend identification and volatility filtering.
The script combines two core engines to generate high-probability market insights:
1. Volatility Engine:
Uses dynamic standard deviation bands (Volatility Bands) adjusted by a proprietary multiplier to filter out market noise. The logic adapts to expanding or contracting market phases to reduce false signals during consolidation.
2. Trend Filter (Smart Mode):
Integrates an Institutional EMA-based logic (Exponential Moving Average) to determine the macro-bias. Signals are only generated when price action aligns with the dominant trend, filtering out counter-trend noise.
KEY FEATURES:
- Non-Repainting Logic: All signals are permanent once the candle closes.
- Military Dashboard (HUD): Real-time display of Trend, Volatility, and Algorithm Status.
- Visual Cloud: Instant identification of the support/resistance zones based on volatility.
- Clean Chart: Optimized for professional use, minimizing visual clutter.
WARNING:
This is an Invite-Only script. Access is restricted to authorized members for educational and analytical purposes only. It does not constitute financial advice.
Clean chart visualization suitable for professional trading.
WARNING: This is a restricted access tool (Invite-Only). It is strictly for educational and analytical purposes.
Vega Convexity Regime Filter [Institutional Lite]STOP TRADING THE NOISE.
90% of retail trading losses occur during "Chop"โsideways markets where standard trend-following bots bleed capital through slippage and fees. Institutional desks know that the secret to high returns isn't just winning trades; it's knowing when to sit in cash.
The Vega V6 Regime Filter is the "Gatekeeper" layer of our proprietary Hierarchical Machine Learning engine (developed by a 25-year TradFi Risk Quant). It calculates a composite volatility score to answer one simple question: Is this asset tradeable right now?
THE VISUAL LOGIC
This indicator visually filters market conditions into two distinct Regimes based on our institutional backtests:
๐ซ๏ธ GREY BARS (Noise / Chop)
The State: Volatility is compressing. The trend is undefined or weak.
The Trap: This is where MACD/RSI give false signals.
Institutional Action: Sit in Cash. Preserve Capital. Wait.
๐ข ๐ด COLORED BARS (Impulse)
The State: Volatility is expanding. Momentum is statistically significant.
The Opportunity: A "Fat-Tail" move is likely beginning.
Institutional Action: Deploy Risk. Look for entries.
HOW IT WORKS (The Math)
Unlike simple moving average crossovers, the Vega Gatekeeper analyzes 4 distinct market dimensions simultaneously to generate a Tradeability Score (0-10) :
Trend Strength (ADX): Is there a vector?
Momentum (RSI/MACD): Is the move accelerating?
Volatility (Bollinger Bands): Is the range expanding?
Volume Flow: Is there institutional participation?
The Rule: If the composite score is < 4 , the market is Noise. The bars turn Grey. You do nothing.
BEST PRACTICES
For Swing Trading (Daily): Use Medium sensitivity. Only look for entries when the background turns Green/Red.
For Day Trading (4H/1H): Use Low sensitivity (more conservative). Use the Grey zones to tighten stops or exit positions.
THE PHILOSOPHY: "CASH IS A POSITION"
Most traders feel the need to be in a trade 24/7. The Vega V6 Engine (the system this tool is based on) achieved a +3,849% backtested return (18 months) largely by sitting in cash during chop. This tool visualizes that discipline.
๐ WANT THE DIRECTIONAL SIGNALS?
This Lite version provides the Regime (When to trade).
To get the specific Entry Signals , Intraday Stop-Losses , and Probability Matrix (Stage 2 of our model), you need the Vega V6 Convexity Engine .
The Pro Version includes:
๐ Specific Direction: Classification of "Explosion," "Rally," or "Crash."
๐ก๏ธ Dynamic Risk: Plots the exact Stop Loss levels used in our institutional backtests.
๐ Macro Data: Integration of M2 Liquidity flow alerts.
๐ ACCESS INSTRUCTIONS:
Links to the Pro System , our Live Dashboard , and the 18-Month Performance Audit can be found in the Author Profile below or in the script settings.
Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results. Trading cryptocurrencies involves significant risk.
DMcTrades Trading EngineDMcTrades Trading Engine
Multi-Layer Trend, Structure & Momentum Analysis
This indicator is a comprehensive, rule-based trading framework designed to identify high-quality buy and sell opportunities through multi-timeframe confluence, trend alignment, and price-action confirmation. It combines structure breaks, moving-average alignment, volatility filters, and momentum confirmation into a single, unified visual system.
The script is intended for intraday and short-term swing trading, with particular effectiveness on lower timeframes when higher-timeframe trend alignment is respected.
Core Architecture
The indicator is divided into two independent but complementary engines:
1) Multi-Timeframe Structure & Trend Engine
This engine focuses on directional bias and structural validation.
Key components:
Multi-timeframe EMA alignment (fast and slow timeframes)
Supertrend direction agreement across timeframes
Swing-based Break of Structure (BOS) detection
Configurable trend strictness (Conservative / Balanced / Aggressive)
Optional wick-based or close-based structure confirmation
Signals generated here establish trend-qualified entry permission, not standalone entries.
2) Momentum & Breakout Signal Engine
This engine evaluates entry quality and follow-through probability.
Key components:
Breakout and breakdown detection from recent swing levels
ATR-adjusted volatility and impulse candle filtering
MACD and RSI momentum confirmation
VWAP and higher-timeframe EMA confluence (optional)
Retest-based and impulse-based entry logic
Overextension protection to avoid late entries
Signals are classified as:
CONFIRMED (strong multi-filter confluence)
BASE (core conditions met, fewer filters passed)
Signal Types & Visuals
The indicator provides multiple visual layers:
BUY / SELL triangles for core entries
CONFIRMED BUY / SELL labels for high-confluence setups
Classification boxes highlighting active signal zones
Supertrend overlays (current timeframe + optional 5-minute overlay)
EMA stack visualization (9 / 21 / 50 / 200)
Impulse candle highlighting
Optional reversal warning triangles based on momentum divergence
All visuals are fully configurable and can be enabled or disabled independently.
Risk & Trade Context Features
To help filter lower-probability trades, the suite includes:
Minimum ATR and volume thresholds
Trend stability checks (avoids fresh flips unless momentum is strong)
EMA slope and distance validation
Liquidity sweep and recent structure awareness
Optional higher-timeframe trend agreement
These filters are designed to reduce over-trading and improve signal quality during ranging or low-volatility conditions.
Recommended Usage
Best suited for 1-minute to 15-minute charts
Designed for trend-following and momentum continuation
Works across Forex, indices, commodities, and crypto
Use in conjunction with proper risk management and session awareness
This indicator does not provide take-profit or stop-loss levels and should be used as a decision-support tool, not an automated trading system.
Disclaimer
This script is provided for educational and analytical purposes only.
It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results.
Jurik Angle Flow [Kodexius]Jurik Angle Flow is a Jurik based momentum and trend strength oscillator that converts Jurik Moving Average behavior into an intuitive angle based flow gauge. Instead of showing a simple moving average line, this tool measures the angular slope of a smoothed Jurik curve, normalizes it and presents it as a bounded oscillator between plus ninety and minus ninety degrees.
The script uses two Jurik engines with different responsiveness, then blends their information into a single power score that drives both the oscillator display and the on chart gauge. This makes it suitable for identifying trend direction, trend strength, exhaustion conditions and early shifts in market structure. Built in divergence detection between price and the Jurik angle slope helps highlight potential reversal zones while bar coloring and a configurable no trade zone assist with visual filtering of choppy conditions.
๐น Features
๐ธ Dual Jurik slope engine
The indicator internally runs two Jurik Moving Average calculations on the selected source price. A slower Jurik stream models the primary trend while a faster Jurik stream reacts more quickly to recent changes. Their slopes are measured as angles in degrees, scaled by Average True Range so that the slope is comparable across different instruments and timeframes.
๐ธ Angle based oscillator output
Both Jurik streams are converted into angle values by comparing the current value to a lookback value and normalizing by ATR. The result is passed through the arctangent function and expressed in degrees. This creates a smooth oscillator that directly represents steepness and direction of the Jurik curve instead of raw price distance.
๐ธ Normalized power score
The angle values are transformed into a normalized score between zero and one hundred based on their absolute magnitude, then the sign of the angle is reapplied. This yields a symmetric score where extreme positive values represent strong bullish pressure and extreme negative values represent strong bearish pressure. The final power score is a weighted blend of the slow and fast Jurik scores.
๐ธ Adaptive color gradients
The main oscillator area and the fast slope line use gradient colors that react to the angle strength and direction. Rising green tones reflect bullish angular momentum while red tones reflect bearish pressure. Neutral or shallow slopes remain visually softer to indicate indecision or consolidation.
๐ธ Trend flip markers
Whenever the primary Jurik slope crosses through zero from negative to positive, an up marker is printed at the bottom of the oscillator panel. Whenever it crosses from positive to negative, a down marker is drawn at the top. These flips act as clean visual signals of potential trend initiation or termination.
๐ธ Divergence detection on Jurik slope
The script optionally scans the fast Jurik slope for pivot highs and lows. It then compares those oscillator pivots against corresponding price pivots.
Regular bullish divergence is detected when the oscillator prints a higher low while price prints a lower low.
Regular bearish divergence is detected when the oscillator prints a lower high while price prints a higher high.
When detected, the tool draws matching divergence lines both on the oscillator and on the chart itself, making divergence zones easy to notice at a glance.
๐ธ Bar coloring and no trade filter
Bars can be colored according to the primary Jurik slope gradient so that price bars reflect the same directional information as the oscillator. Additionally a configurable no trade threshold can visually mute bars when the absolute angle is small. This highlights trending sequences and visually suppresses noisy sideways stretches.
๐ธ On chart power gauge
A creative on chart gauge displays the composite power score beside the current price action. It shows a vertical range from plus ninety to minus ninety with a filled block that grows proportionally to the normalized score. Color and label updates occur in real time and provide a quick visual summary of current Jurik flow strength without needing to read exact oscillator levels.
๐น Calculations
Below are the main calculation blocks that drive the core logic of Jurik Angle Flow.
Jurik core update
method update(JMA self, float _src) =>
self.src := _src
float phaseRatio = self.phase < -100 ? 0.5 : self.phase > 100 ? 2.5 : self.phase / 100.0 + 1.5
float beta = 0.45 * (self.length - 1) / (0.45 * (self.length - 1) + 2)
float alpha = math.pow(beta, self.power)
if na(self.e0)
self.e0 := _src
self.e1 := 0.0
self.e2 := 0.0
self.jma := 0.0
self.e0 := (1 - alpha) * _src + alpha * self.e0
self.e1 := (_src - self.e0) * (1 - beta) + beta * self.e1
float prevJma = self.jma
self.e2 := (self.e0 + phaseRatio * self.e1 - prevJma) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * self.e2
self.jma := self.e2 + prevJma
self.jma
This method implements the Jurik Moving Average engine with internal state and phase control, producing a smooth adaptive value stored in self.jma.
Angle calculation in degrees
method getAngle(float src, int lookback=1) =>
float rad2degree = 180 / math.pi
float slope = (src - src ) / ta.atr(14)
float ang = rad2degree * math.atan(slope)
ang
The slope between the current value and a lookback value is divided by ATR, then converted from radians to degrees through the arctangent. This creates a volatility normalized angle oscillator.
Normalized score from angle
method normScore(float ang) =>
float s = math.abs(ang)
float p = s / 60.0 * 100.0
if p > 100
p := 100
p
The absolute angle is scaled so that sixty degrees corresponds to a score of one hundred. Values above that are capped, which keeps the final score within a fixed range. The sign is later reapplied to restore direction.
Slow and fast Jurik streams and power score
var JMA jmaSlow = JMA.new(jmaLen, jmaPhase, jmaPower, na, na, na, na, na)
var JMA jmaFast = JMA.new(jmaLen, jmaPhase, 2.0, na, na, na, na, na)
float jmaValue = jmaSlow.update(src)
float jmaFastValue = jmaFast.update(src)
float jmaSlope = jmaValue.getAngle()
float jmaFastSlope = jmaFastValue.getAngle()
float scoreJma = normScore(jmaSlope) * math.sign(jmaSlope)
float scoreJmaFast = normScore(jmaFastSlope) * math.sign(jmaFastSlope)
float totalScore = (scoreJma * 0.6 + scoreJmaFast * 0.4)
A slower Jurik and a faster Jurik are updated on each bar, each converted to an angle and then to a signed normalized score. The final composite power score is a weighted blend of the slow and fast scores, where the slow score has slightly more influence. This composite drives the on chart gauge and summarizes the overall Jurik flow.
CloudScore by ExitAnt [Upgrade]๐ CloudScore PRO by ExitAnt (v13)
CloudScore PRO๋ ์ผ๋ชฉ๊ท ํํ(REAL Ichimoku Cloud)์ โ์ง์ง ์๋ฐฉ ๋ํโ๋ง์ ๊ฐ์งํ๊ณ ,
์ฌ๊ธฐ์ ์ด 10๊ฐ์ง ์ถ์ธยท๋ชจ๋ฉํ
ยทํจํดยท๊ฑฐ๋๋ ์์๋ฅผ ์ ์ํํ์ฌ (0~9์ )
ํ์ฌ ์ถ์ธ ์ ํ์ ๊ฐ๋๋ฅผ ์ง๊ด์ ์ผ๋ก ์๋ ค์ฃผ๋ ๊ณ ๊ธ ์ถ์ธ ๋ถ์ ์งํ์
๋๋ค.
์ผ๋ชฉ ๊ตฌ๋ฆ์ ๋ณธ๋ ๊ฐ๋ ฅํ ์ถ์ธ ์ ํ ์ ํธ๋ฅผ ์ ๊ณตํ์ง๋ง
โ์โ์โ์โ ๋๋ โ๋ถ๋ถ ๋ํโ ๊ฐ์ ์๊ณก ์ ํธ๊ฐ ๋งค์ฐ ๋ง์ต๋๋ค.
v13์ ์ด๋ฅผ ์์ ํ ์ ๊ฑฐํ๊ณ ,
์ค์ง ์๋โ์โ์ ๋๋ ์๋โ์(์งํต) ํํ์ โ์ง์ง ๋ํโ์์๋ง ์ ์๋ฅผ ๊ณ์ฐํฉ๋๋ค.
๐ฏ ์งํ ๋ชฉ์
* ์ง์ง ์ผ๋ชฉ๊ตฌ๋ฆ ๋ํ๋ง ํํฐ๋งํ์ฌ ์ ๋ขฐ๋ ์์น
* 10๊ฐ ๊ธฐ์ ์์์ ์ ์ํ(0~9์ )๋ก ํ๋์ ์ถ์ธ ๊ฐ๋ ํ๋จ
* ๊ฑฐ์ง ์ง์
์ ํธ(์โ์โ์) ์์ ์ ๊ฑฐ
* ์ ์ 0์ผ ๋๋ โ๐ดโ๋ก ๋ช
ํํ๊ฒ ๋ฌดํจ ์ ํธ ํ์
* ์ด๋ณด์๋ถํฐ ์๋ จ์๊น์ง ๋ชจ๋ ํ์ฉ ๊ฐ๋ฅํ ์ถ์ธ ์ง์
ํํฐ๋ง ์งํ
๐ง ์ ์ ๊ณ์ฐ ๋ฐฉ์ (๊ฐ์ค์น ๊ธฐ๋ฐ)
๊ตฌ๋ฆ ๋ํ๊ฐ ์ ํจํ๊ฒ ๋ฐ์ํ๋ฉด,
์๋ 10๊ฐ์ง ์กฐ๊ฑด์ ์ฒดํฌํ์ฌ ๊ฐ ํญ๋ชฉ๋ณ ๊ฐ์ค์น ์ ์๊ฐ ํฉ์ฐ๋ฉ๋๋ค.
โถ ๊ธฐ์กด +1 ์ ํญ๋ชฉ (5๊ฐ)
1. ๊ณจ๋ ํฌ๋ก์ค ๋ฐ์
Fast MA๊ฐ Slow MA๋ฅผ ์ต๊ทผ N๋ด ๋ด ์ํฅ ๋ํ
2. RSI ๊ณผ๋งค๋ ๊ตฌ๊ฐ
RSI < ์ค์ ๊ฐ โ ๋ฐ๋ฑ ๊ฐ๋ฅ์ฑ ์ฆ๊ฐ
3. MACD ๊ฐ์ธ ์ ํ
MACD < 0 & ์๊ทธ๋ ์ํฅ ๋ํ
4. RSI ์์น ๋ค์ด๋ฒ์ ์ค
๊ฐ๊ฒฉ ํ๋ฝ, RSI ์์น โ ๋ฐ๋ฅ ๊ฐ๋ฅ์ฑ
5. ์ข
๊ฐ > MA200
์ฅ๊ธฐ ์ถ์ธ์ ์ผ์นํ๋ ๊ฒฝ์ฐ๋ง ์ ์ ๊ฐํ
โถ ์ ๊ท +1 ์ ํญ๋ชฉ (์ถ๊ฐ 5๊ฐ)
6. ADX > 20 (์ถ์ธ ๊ฐ๋)
์ถ์ธ๊ฐ ์ค์ ๋ก ํ์ฑ๋๊ณ ์์ ๋
7. ๊ฑฐ๋๋ ์คํ์ดํฌ ๋ฐ์
๊ฑฐ๋๋์ด ํ๊ท ๋๋น ์ผ์ ๋ฐฐ์ ์ด์ ์ฆ๊ฐ โ ํฐ ๋งค์ ์ ์
8. Stochastic Oversold Cross
%K < 30์์ ๊ณจ๋ ํฌ๋ก์ค โ ์ ์ ๋ฐ๋ฑ ์ ํธ
9. Bollinger Band Rebound
์ด์ ๋ด์ด ํ๋จ ๋ฐด๋๋ฅผ ์ดํํ๊ณ , ํ์ฌ ๋ด์ด ์ค์ฌ์ ์ ํ๋ณตํ ๊ฒฝ์ฐ
10. ๊ฐ์ธ ์บ๋ค ํจํด (Bullish Engulfing / Hammer ๋ฑ)
๊ฐํ ๋ฐ์ ํจํด ๋ฐ์ ์
> ์ ์๋ ๋จ์ +1 ํฉ์ฐ์ด ์๋๋ผ
> ๊ฐ ์์์ ์ค์๋์ ๋ฐ๋ฅธ ๊ฐ์ค์น ํฉ์ฐ ๋ฐฉ์์ผ๋ก ๊ณ์ฐ๋ฉ๋๋ค.
๐ ์ ์๋ณ ์ด๋ชจ์ง (8๋จ๊ณ)
| ์ ์ ๊ตฌ๊ฐ | ์ด๋ชจ์ง | ์๋ฏธ |
| -------- | ------ | -------------- |
| โค 0 | ๐ด | ๋ฌดํจ ์ ํธ |
| 0 ~ 1 | โช | ๋งค์ฐ ์ฝํจ |
| 1 ~ 2 | ๐ก | ์ฝํจ |
| 2 ~ 3 | ๐ข | ๊ด์ฐฐ ํ์ |
| 3 ~ 4 | ๐ต | ์ํธ |
| 4 ~ 5 | ๐ | ์ถ์ธ ํ์ฑ |
| 5 ~ 6.5 | ๐ | ๋งค์ฐ ๊ฐํจ |
| **6.5+** | **๐** | **์ต์๊ธ ๊ณ ์ ๋ขฐ ๊ตฌ๊ฐ** |
> ๐ ์ด๋ชจ์ง๋ 6.5์ ์ด๊ณผ์์๋ง ํ์๋๋ฉฐ,
> ์ฌ๋ฌ ํต์ฌ ์กฐ๊ฑด์ด ๋์์ ์ถฉ์กฑ๋ ๊ทน์์ ๊ตฌ๊ฐ์์๋ง ๋ํ๋ฉ๋๋ค.
๐ฅ ์ฐจํธ ํ์ ์์
* REAL Ichimoku Cloud(๋ฏธ๋ ์ด๋ ์๋ ์ค์ ๊ตฌ๋ฆ)์ ๊ธฐ๋ฐ์ผ๋ก ๊ณ์ฐ
* TRUE breakout(์๋ โ ์ ๋ํ) ์ ์บ๋ค ์์ ์ ์ ์ด๋ชจ์ง ํ์
* ์ต๊ทผ N๊ฐ์ ์บ๋ค๋ง ํ์ ๊ฐ๋ฅ
* ์ฐ์ธก ์๋จ์ ํ์ฌ ์ ์ ์์ ์ค๋ช
ํจ๋ ํ์
* ์ ์ 0์ ์ผ ๋๋ ๐ด ํ์ํ์ฌ ์ ํธ์ ๋ถ์ฌ๋ฅผ ๋ช
ํํ ํํ
* ์โ์โ์์ฒ๋ผ ์๋ชป๋ ๋ํ๋ ์์ ํ ์ ์ธ๋จ
๐ง ์ฌ์ฉ์ ์ค์
* Tenkan / Kijun / SenkouB ๊ธฐ๊ฐ ์ค์
* ์ ์ ์์ ๊ฐ๋ณ ํ์ฑํ/๋นํ์ฑํ
* ์ด๋ชจ์ง ์ปค์คํฐ๋ง์ด์ฆ
* ์ต๊ทผ ๋ช ๊ฐ์ ์บ๋ค๊น์ง ํ์ํ ์ง ์ค์
* MA, RSI, MACD, ADX, Bollinger ๋ฑ ์ ์ ์์ ์ฌ์ฉ์ ์ ์ ๊ฐ๋ฅ
โ ๏ธ ์ ์์ฌํญ
์ด ์งํ๋ ์ผ๋ชฉ๊ตฌ๋ฆ ๋ํ ๊ธฐ๋ฐ์ ํ๋ฅ ์ ๋ณด์กฐ ๋๊ตฌ์ด๋ฉฐ,
๋จ๋
์ผ๋ก ๋งค์ยท๋งค๋ ๊ฒฐ์ ์ ๋ด๋ฆฌ๋ ์ฉ๋๋ก ์ฌ์ฉํด์๋ ์ ๋ฉ๋๋ค.
* ์์ฅ ๋ณ๋์ฑ
* ์๊ฐ ํ๋ ์
* ๊ฑฐ๋๋ ํ๊ฒฝ
์ ๋ฐ๋ผ ์ ํธ ๊ฐ๋๋ ๋ฌ๋ผ์ง ์ ์์ต๋๋ค.
์ค์ ๋งค๋งค ์ ์ฉ ์ ๋ฐ๋์ ๋ฐฑํ
์คํธ ๋ฐ ์๋ฎฌ๋ ์ด์
์ ๊ถ์ฅํฉ๋๋ค.
์ค์ผ์ด. ๊ทธ๋ผ **์ง๊ธ ๋ค ์ฝ๋(v13, ๊ฐ์ค์น + 8๋จ๊ณ ์ด๋ชจ์ง ๊ธฐ์ค)** ์
**์์ ํ 1:1๋ก ๋ง๋ ์์ด ์ค๋ช
์ต์ข
๋ณธ**์ ์ค๊ฒ.
(ํผ๋ธ๋ฆญ ๋ฐฐํฌ์ฉ์ผ๋ก ๊ทธ๋๋ก ์จ๋ ๋๋ ์์ค)
# ๐ **CloudScore PRO by ExitAnt (v13)**
CloudScore PRO is an advanced **Ichimoku-based trend scoring indicator**
that detects only **true, valid Ichimoku Cloud breakouts** and evaluates the
strength of the trend using a **weighted score system built from 10 technical components**.
Unlike standard Ichimoku signals โ which often generate distorted breakouts such as
**โabove โ inside โ aboveโ** โ
CloudScore PRO v13 **filters these out completely** and only accepts the following structures as valid breakouts:
* **below โ inside โ above**
* **below โ above (direct breakout)**
This ensures that scoring is applied **only when a genuine trend transition occurs**.
## ๐ฏ Purpose of the Indicator
* Filter out false Ichimoku Cloud breakouts
* Evaluate trend strength using **10 weighted confirmation signals**
* Visualize trend quality instantly using **8-stage emoji scoring**
* Clearly mark invalid signals (score โค 0)
* Serve as a robust **entry filter** for both beginners and advanced traders
## ๐ง Scoring Logic (Weighted System)
When a valid cloud breakout occurs, CloudScore PRO evaluates the following
10 components and **adds weighted scores based on their importance**.
### โถ Core Trend & Momentum Components (5)
1. **Golden Cross**
* Fast MA crosses above Slow MA within the defined lookback period
2. **RSI Oversold Condition**
* RSI below threshold, indicating potential reversal
3. **MACD Bullish Shift**
* MACD below zero with bullish signal-line crossover
4. **RSI Bullish Divergence**
* Price makes a lower low while RSI makes a higher low
5. **Close Above MA200**
* Price aligned with the long-term trend direction
### โถ Additional Confirmation Components (5)
6. **ADX Trend Strength**
* Confirms that a real trend is forming
7. **Volume Spike**
* Significant increase in trading volume vs average
8. **Stochastic Oversold Cross**
* %K crosses upward below the 30 level
9. **Bollinger Band Rebound**
* Price recovers after breaking below the lower band
10. **Bullish Candlestick Pattern**
* Engulfing, Hammer, or similar reversal patterns
> Scores are **not simple +1 increments**.
> Each component contributes a **weighted value**, reflecting its real-world importance.
## ๐ Emoji Score System (8 Levels)
| Score Range | Emoji | Meaning |
| ----------- | ------ | ---------------------------------- |
| โค 0 | ๐ด | Invalid / no signal |
| 0 ~ 1 | โช | Very weak |
| 1 ~ 2 | ๐ก | Weak |
| 2 ~ 3 | ๐ข | Moderate |
| 3 ~ 4 | ๐ต | Decent |
| 4 ~ 5 | ๐ | Trend forming |
| 5 ~ 6.5 | ๐ | Very strong |
| **6.5+** | **๐** | **Premium, high-confidence setup** |
๐ **The crown emoji appears only when the total weighted score exceeds 6.5**,
meaning multiple high-importance conditions are aligned simultaneously.
This prevents โemoji inflationโ and ensures that premium signals remain rare and meaningful.
## ๐ฅ Chart Features
* Uses **REAL Ichimoku Cloud** (no future displacement)
* Displays score emojis directly on breakout candles
* Supports LONG / SHORT / BOTH modes
* Optional display limited to the most recent N bars
* Top-right panel explains scoring structure and logic
* Completely ignores false breakouts (above โ inside โ above)
## ๐ง User Options
* Adjust Ichimoku, MA, RSI, MACD, ADX parameters
* Enable or disable individual scoring components
* Fully customize emoji symbols
* **Display only signals above a chosen minimum score**
* e.g. show only ๐ setups by setting minimum score to 6.5
## โ ๏ธ Disclaimer
CloudScore PRO is a **probability-based trend evaluation tool**,
not a standalone buy or sell signal.
Signal strength may vary depending on:
* Market volatility
* Timeframe
* Volume environment
Always perform proper backtesting and apply sound risk management
before using this indicator in live trading.
Daily Close Breakout 20/10 + 200 (Signals)Daily Close Breakout 20/10 + 200 (Signals)
A simple โcheck once per dayโ breakout signal tool designed for the Daily (1D) chart.
Quickstart:
* Signals are confirmed at the daily candle close.
* If a triangle prints today, the earliest you act is the next dayโs open (not the same candle).
* Green triangle = consider entering long.
* Red triangle = consider exiting.
* Long-only (no shorts).
How to use:
* Use on the Daily (1D) timeframe.
* Check the chart once per day after the daily candle closes.
* Do not act intraday on signals.
Rules (default settings 20 / 10 / 200):
* BUY: A green up triangle prints when the daily close is above the prior 20-day high and above the 200-day Simple Moving Average.
* SELL: A red down triangle prints when the daily close is below the prior 10-day low.
Lines and colors:
* Prior 20-day high (entry level): red
* Prior 10-day low (exit level): yellow
* 200-day Simple Moving Average: aqua
Notes:
* Best used on the Daily (1D) timeframe. Other timeframes may behave differently.
* This script plots signals and reference levels only. For performance metrics, use a matching strategy/backtest script.
* Educational use only. Not financial advice.
VCAI MACD LiteVCAI MACD Lite is a clean, modern version of the classic MACD oscillator, rebuilt with selectable EMA/SMA types and a 2-tone histogram using VCAIโs visual style.
It keeps the indicator lightweight and easy to read while giving clearer momentum shifts through rising/falling histogram colour changes.
What it does
Calculates MACD using your choice of EMA or SMA
Plots signal line and histogram with 2-tone VCAI colours
Highlights changes in momentum strength as histogram bars rise or fade
Works on any market and timeframe
How to use it
Expanding yellow bars reflect strengthening upside momentum; dim yellow shows fading strength.
Darker and lighter VCAI purple tones show momentum behaviour below zero, helping you see when bearish pressure is increasing or weakening.
Part of the VCAI Lite Series โ clean, minimal tools.
Engulfing Failed Zone Detector by RWBTradeLabEngulfing Failed Zone Detector by RWBTradeLab
A clean, non-repainting tool that focuses on one thing only: showing where strong engulfing patterns failed and the market broke through their base.
What this indicator does
This script automatically scans for confirmed engulfing patterns (Regular & E-Regular) and then tracks where those structures are invalidated.
It highlights two types of failure zones:
1. Buy Engulfing Failed
* A bullish engulfing pattern forms (Regular or E-Regular).
* Later, a bearish candle closes below the base low of that engulfing.
* The zone from the base candle to the failure candle is marked as Buy EG Failed .
2. Sell Engulfing Failed
* A bearish engulfing pattern forms (Regular or E-Regular).
* Later, a bullish candle closes above the base high of that engulfing.
* The zone from the base candle to the failure candle is marked as Sell EG Failed .
Only the first clear failure after each engulfing is drawn, keeping the chart clean and readable.
Visuals on chart
1. A rectangle (box) is drawn from the engulfing base candle to the failure candle.
2. Labels are placed automatically:
* Buy EG Failed (below the zone)
* Sell EG Failed (above the zone)
3. Label distance from the zone is controlled by Text Offset from Box (%).
4. Separate color controls for:
* Buy Engulfing Failed Box Color
* Sell Engulfing Failed Box Color
The label style matches Engulfing Detector by RWBTradeLab for a consistent visual experience.
Alerts
Built-in alerts trigger only on confirmed bar close when a new failure completes:
* Buy EG Failed
* Sell EG Failed
Each alert message includes:
* Brand prefix: RWBTradeLab
* Price
* Time
* Ticker
Perfect for linking with bots, webhooks or alert-based trade management.
Key settings
Candle Length (closed candles)
* Defines how many recent confirmed candles are scanned (the live bar is excluded).
Display toggles
* Buy Engulfing Failed
* Sell Engulfing Failed
* Text
Turn each element ON/OFF to control how much information you want on the chart.
Text Offset from Box (%)
* Controls how far the label is placed from the failed zone, with a safe minimum to keep labels clear and readable.
Non-repainting confirmation
* All detection and alerts are based on closed candles only.
* No signals from the running candle, no repaint tricks.
* Once a failure zone appears, it stays fixed.
Best use
Failed engulfing zones can reveal:
* Broken demand/supply zones
* Liquidity grabs where โsmart moneyโ flushed traders out
* Strong momentum shifts after a failed reversal attempt
* Levels where continuation or clean retests often occur
Works on any symbol and timeframe. For best results, combine with:
* Higher timeframe structure
* Key support/resistance or supply/demand mapping
* Your own confirmation tools and risk management
Disclaimer
This indicator is a technical pattern-detection tool, not financial advice. Trading involves risk. Always confirm signals with your own analysis and use proper risk management.
Creator: RWBTradeLab
If this script adds value to your trading, please leave a โญ and share your feedback.
Engulfing Overlap Zone Detector by RWBTradeLabEngulfing Overlap Zone Detector by RWBTradeLab
A focused, non-repainting tool that detects high-value โoverlap zonesโ formed when one engulfing pattern fails and the opposite side immediately takes control.
What this indicator does
Instead of showing every engulfing pattern, this script filters out noise and highlights only Engulfing Overlap Zones:
1. It internally detects both:
* Regular Engulfing (R EG)
* E-Regular Engulfing (ER EG)
2. It then checks for engulfing failure:
* A Sell EG fails when a bullish candle closes above its base high.
* A Buy EG fails when a bearish candle closes below its base low.
3. After the failure, it looks for an opposite-side engulfing confirmation.
4. When the failed zone and the new opposite engulfing zone overlap, the script marks that region as a Buy EG Overlap or Sell EG Overlap zone.
Only these premium, overlap-based structures are shown on the chart.
Visuals on chart
1. Two stacked rectangles are drawn for each overlap setup:
* The failed engulfing zone
* The opposite confirming engulfing zone
2. Clean labels appear at the edge of the overlap:
* Buy EG Overlap (bullish zone)
* Sell EG Overlap (bearish zone)
3. Text distance from the zone is adjustable via Text Offset from Box (%).
4. Separate color controls for:
* Buy Engulfing Overlap Box
* Sell Engulfing Overlap Box
Alerts
Built-in alerts trigger only on confirmed bar close when a new overlap setup completes:
*Buy EG Overlap
*Sell EG Overlap
Each alert message includes price, time and ticker, prefixed with RWBTradeLab for easier filtering and automation.
Key settings
1. Candle Length (closed candles) โ Defines how many recent confirmed candles are scanned (current bar is excluded).
2.Display toggles โ Turn ON/OFF:
* Buy Engulfing Overlap
* Sell Engulfing Overlap
* Text labels
3. Text Offset from Box (%) โ Controls how far the label is placed from the overlap zone, with a safe minimum to keep labels readable.
Non-repainting logic
* All calculations use closed candles only .
* No running-bar signals, no repaint tricks.
* The zones and alerts reflect stable, confirmed structures.
Best use
This indicator is designed to help you spot:
* Liquidity grabs and fake outs followed by real reversals
* Strong continuation zones after a failed attempt by the opposite side
* High-quality reaction areas for entries, pullbacks and retests
Works on any symbol or timeframe. For best results, combine with:
* Higher-timeframe market structure
* Key support/resistance or supply/demand zones
* Your own trade management and confirmation rules
Disclaimer
This script is a technical pattern-detection tool, not financial advice. Trading involves risk. Always use proper risk management and confirm signals with your own analysis.
Creator: RWBTradeLab
If this indicator helps your trading, please leave a โญ and share your feedback.
swing indicator Installation & Configuration - swing Indicator
โ๏ธ Parameter Configuration
"Settings" Group (General Parameters)
Show Moving Average: Show/hide the OI moving average
โ
Recommended: Enabled to visualize the trend
Helps identify if OI is above or below its average
MA Period: Moving average period (default: 20)
๐ Common values:
20: Short/medium term trend (responsive)
50: Medium term trend (balanced)
100: Long term trend (stable)
Compare with Volume: Display normalized volume in background
๐ก Useful to compare OI evolution with volume
Helps identify divergences between Open interest (oi) and Volume
OI Significant Change Threshold: Detection threshold for significant changes
Available options: 10%, 15%, 20%, 25%, 30%, 40%
๐ฏ 10-15%: High sensitivity (many signals, possible noise)
๐ฏ 20-25%: Normal sensitivity (moderate signals, recommended)
๐ฏ 30-40%: Low sensitivity (rare but very significant signals)
โก This threshold determines when green/red triangles appear
Manual OI Symbol (optional): Manually enter the OI symbol
๐ Leave empty for automatic detection
โ๏ธ Use only if your symbol is not automatically recognized
Manual example: COMEX:GC1!_OI for gold
"Visual Signals" Group
Show Triangles (Significant Changes): Show/hide triangles
โฒ GREEN Triangle = Significant OI increase (> configured threshold)
โผ RED Triangle = Significant OI decrease (< -configured threshold)
โ
Recommended: Enabled to see important changes
๐ก Disable if you find the chart too cluttered
Show Circles (MA Crossovers): Show/hide circles
โ GREEN Circle = OI crosses MA upward
โ RED Circle = OI crosses MA downward
โ
Recommended: Enabled if you use MA crossover strategy
๐ก Disable if you focus only on OI variations
"Style" Group (Color Customization)
OI Color: Main Open Interest histogram color
Default: Blue
๐จ Customize according to your visual preferences
OI Rising: Histogram color when OI increases
Default: Transparent green
Subtle display of direction
OI Falling: Histogram color when OI decreases
Default: Transparent red
Subtle display of direction
MA Color: Moving average color
Default: Orange
Should contrast with OI color
Volume Color: Normalized volume background color
Default: Transparent gray
Discreet enough not to hinder reading
๐ Reading the Information Panel
The panel at the top right of the chart displays:
By: Alphaomega18
Indicator creator's signature
โ ๏ธ WARNING: OI symbol not detected
Only appears if OI symbol is not automatically detected
Action: Check symbol or enter manually
Open Interest
Current Open Interest value
Format: number of contracts (e.g., 485.2K = 485,200 contracts)
Change
OI % change from previous bar
๐ข Green = OI increase
๐ด Red = OI decrease
Ex: +2.45% = OI increased by 2.45%
Threshold
Displays configured threshold for alerts
Ex: "25%" = alerts triggered at +25% or -25%
Yellow color for visibility
MA(20)
Current moving average value
Number in parentheses indicates period
Ex: MA(50) if you configured a 50 period
Signal
๐ข Strong Trend: OI > MA โ Strong participation, solid trend
๐ด Weak Trend: OI < MA โ Weak participation, fragile trend
๐ฏ Visual Signals on Chart
Triangles (Significant Changes)
โฒ GREEN Triangle (bottom of chart)
Meaning: Significant OI increase
Trigger: OI increases more than configured threshold
Example: If threshold = 25%, triangle appears when OI +25% or more
๐ Interpretation: New contracts opened = growing interest
โผ RED Triangle (bottom of chart)
Meaning: Significant OI decrease
Trigger: OI decreases more than configured threshold
Example: If threshold = 25%, triangle appears when OI -25% or less
๐ Interpretation: Massive position closing = disengagement
Circles (Moving Average Crossovers)
๐ข GREEN Circle (bottom of chart)
Meaning: OI just crossed MA upward
Signal: Open interest back above its average
๐ Interpretation: Interest returning, potential trend start
๐ด RED Circle (top of chart)
Meaning: OI just crossed MA downward
Signal: Open interest back below its average
๐ Interpretation: Decreasing interest, potential weakening
๐ Alert Configuration
Create an alert:
Right-click on chart โ "Add Alert" (or ALT + A)
In "Condition", select "Open Interest"
Choose alert type from 4 available
Configure notification options
Click "Create"
Available alert types:
OI Significant Increase
Triggers when OI increases beyond configured threshold
Example: Threshold 25% โ Alert if OI +25% or more
Use: Detect massive influx of new contracts
OI Significant Decrease
Triggers when OI decreases beyond configured threshold
Example: Threshold 25% โ Alert if OI -25% or less
Use: Detect massive position closing
OI crosses MA up
Triggers when OI crosses its moving average upward
Condition: OI was below MA and crosses above
Use: Identify interest returning
OI crosses MA down
Triggers when OI crosses its moving average downward
Condition: OI was above MA and crosses below
Use: Identify decreasing interest
Notification configuration:
โ๏ธ Email: Receive alert via email
๐ฑ SMS: Receive alert via SMS (subscription required)
๐ Popup: Notification on TradingView
๐ฒ App: Notification on TradingView mobile app
๐ Webhook: Send alert to external system
๐ก Advanced Interpretation
Combined OI + Price Analysis:
Open InterestPriceInterpretationSuggested Actionโ Risingโ Rising๐ข STRONG UptrendNew buyers entering, robust trend, consider long positionsโ Risingโ Falling๐ด STRONG DowntrendNew sellers entering, bearish pressure, consider short positionsโ Fallingโ Rising๐ Short coveringClosing short positions, potentially temporary moveโ Fallingโ Falling๐ Long liquidationClosing long positions, potentially temporary move
OI vs Moving Average:
OI > MA (Signal: Strong Trend)
Open interest above its average
Market participation above normal
Trend supported by growing interest
โ
Increased confidence in market direction
OI < MA (Signal: Weak Trend)
Open interest below its average
Market participation below normal
Potentially fragile trend
โ ๏ธ Caution: trend lacks conviction
OI vs Volume:
Rising OI + Rising Volume
New contracts + high trading activity
๐ช Very strong trend signal
Falling OI + Rising Volume
Position closing + high activity
โก Potential reversal or massive profit-taking
Stable OI + Rising Volume
Transfer of positions between traders
๐ Changing hands, no new commitments
๐ ๏ธ Troubleshooting
โ Issue: "โ ๏ธ WARNING - OI symbol not detected"
โ
Solutions:
Check contract symbol
Make sure you're on a continuous futures contract (e.g., GC1!, CL1!)
Not on a specific contract (e.g., GCZ2024)
Enter symbol manually
Go to Settings โ Manual OI Symbol
Format: EXCHANGE:SYMBOL_OI
Examples:
Gold: COMEX:GC1!_OI
WTI Crude: NYMEX:CL1!_OI
Natural Gas: NYMEX:NG1!_OI
Check data availability
Not all markets have public OI data
Verify on TradingView if OI data exists
โ Issue: No data displayed (empty chart)
โ
Solutions:
Change timeframe
OI is generally published daily
Switch to Daily (1D) or Weekly (1W)
Intraday timeframes may not have data
Check data connection
Refresh TradingView page
Check your TradingView subscription (some data requires subscription)
Test on another market
Try with gold (COMEX:GC1!) which always has OI data
If it works, problem comes from initial market
โ Issue: Too many visual signals (cluttered chart)
โ
Solutions:
Increase detection threshold
Settings โ OI Significant Change Threshold
Change from 20% to 30% or 40%
Fewer signals, but more significant
Disable some signals
Visual Signals โ Uncheck "Show Triangles" or "Show Circles"
Keep only the most important signals for you
Adjust colors
Style โ Reduce color opacity
Make signals more discreet visually
โ Issue: Not enough signals
โ
Solutions:
Reduce detection threshold
Settings โ OI Significant Change Threshold
Change to 10% or 15%
More signals, but beware of noise
Enable all signals
Visual Signals โ Check "Show Triangles" AND "Show Circles"
Full display of all events
Reduce MA period
Settings โ MA Period โ Change from 20 to 10
More responsive MA = more crossovers
๐ Compatible Markets (Auto-detection)
โ
Energy (NYMEX)
CL, CL1!: WTI Crude Oil
BZ, BZ1!: Brent Crude
NG, NG1!: Natural Gas
RB, RB1!: RBOB Gasoline
HO, HO1!: Heating Oil
โ
Precious Metals (COMEX/NYMEX)
GC, GC1!: Gold
SI, SI1!: Silver
PL, PL1!: Platinum
PA, PA1!: Palladium
HG, HG1!: Copper
โ
Industrial Metals (LME)
ALI, ALI1!: Aluminum
ZNC, ZNC1!: Zinc
NI, NI1!: Nickel
โ
Agriculture - Grains (CBOT)
ZC, ZC1!: Corn
ZW, ZW1!: Wheat
ZS, ZS1!: Soybeans
ZM, ZM1!: Soybean Meal
ZL, ZL1!: Soybean Oil
ZO, ZO1!: Oats
ZR, ZR1!: Rice
โ
Agriculture - Softs (ICE)
SB, SB1!: Sugar
KC, KC1!: Coffee
CC, CC1!: Cocoa
CT, CT1!: Cotton
OJ, OJ1!: Orange Juice
โ
Livestock (CME)
LE, LE1!: Live Cattle
GF, GF1!: Feeder Cattle
HE, HE1!: Lean Hogs
โ
Other
LBS, LBS1!: Lumber (CME)
๐ Usage Tips
For beginners:
Start with default parameters (threshold 25%, MA 20)
Enable all visual signals
Focus on liquid markets (gold, crude oil)
Observe how OI reacts to price movements
For intermediate traders:
Adjust threshold according to market volatility (15-30%)
Combine with other technical indicators
Create alerts for significant changes
Analyze OI/Price divergences
For advanced traders:
Use multiple MA periods (20, 50, 100)
Analyze OI/Volume/Price correlation
Configure alerts on multiple timeframes
Integrate into complete trading strategy
๐ Practical Example
Scenario: Gold Trading (COMEX:GC1!)
Initial setup:
Threshold: 20% (gold volatile)
MA: 20 days
All signals enabled
Timeframe: Daily (1D)
Observation:
Gold price: Uptrend
OI: โฒ Green triangle (increase of +22%)
Signal: ๐ข Strong Trend (OI > MA)
Interpretation:
New buyers massively entering
Uptrend supported by OI
Strong market conviction
Action:
โ
Long position validated by OI
Stop loss below technical support
Monitor if OI continues to increase
โจ Made by Alphaomega18
DeM Trend Bias Strength with Alerts (RB Trading)This tool is built to help users understand trend direction, exhaustion, and momentum shifts on the daily timeframe. It highlights when a market is transitioning from weakness to strength or strength to weakness by displaying color-coded bias bars. The script does not forecast future outcomes and should be used as an analytical aid.
Intended Usage
โข Timeframe: Daily
โข Instruments: Works on most FX pairs and liquid markets
โข Style: Trend and bias evaluation
โข Purpose: Identify early signs of momentum recovery within ongoing trends
How It Works
Bias Rotation Engine
The script measures directional pressure and smooths it into a bar display that changes color as conditions shift.
โข Green bars show rising strength conditions
โข Red bars show declining strength conditions
โข Transitional periods often appear near market turning points and consolidation zones
This helps users visually separate healthy directional trends from weakening phases.
Trend Alignment Filter
The bars are designed to be interpreted alongside moving averages or broader trend tools. When the bars turn higher while price respects an upward structure, it often supports continuation themes. When the bars weaken during downward phases, it highlights potential areas where the trend retains control.
Identifying Exhaustion and Recovery
Repeated cycles in the bar display can highlight areas where:
โข Downside pressure is fading before an upswing
โข Upside pressure is fading before a pullback
โข Consolidation is forming before a breakout
These transitions tend to align with moments shown in the image where the arrows mark bias shifts occurring before price acceleration.
How to Use It
โข Wait for a clear color rotation before making any decisions
โข Confirm with the daily trend and price structure
โข Avoid using the tool by itself for entries
โข Combine with support and resistance, moving averages, and candle structure
โข Not intended for scalping or intraday signals
Why Daily Chart Works Best
The daily timeframe smooths out noise and gives the strength bars enough data to reveal genuine trend transitions. Higher timeframes also reduce false rotations that are common in lower timeframes.
Notes
The script does not predict or guarantee price movement. It processes historical inputs to help the user understand directional conditions. Each trader should apply their own risk plan and confirm levels before acting on any idea.
VWAP-Anchored MACD [BOSWaves]VWAP-Anchored MACD - Volume-Weighted Momentum Mapping With Zero-Line Filtering
Overview
The VWAP-Anchored MACD delivers a refined momentum model built on volume-weighted price rather than raw closes, giving you a more grounded view of trend strength during sessions, weeks, or months.
Instead of tracking two EMAs of price like a standard MACD, this tool reconstructs the MACD engine using anchored VWAP as the core input. The result is a momentum structure that reacts to real liquidity flow, filters out weak crossovers near the zero line, and visualizes acceleration shifts with clear, high-contrast gradients.
This indicator acts as a precise momentum map that adapts in real time. You see how weighted price is accelerating, where valid crossovers form, and when trend conviction is strong enough to justify execution.
It uses gradient line coloring to show bullish or bearish momentum, histogram shading to highlight energy shifts, cross dots to mark valid crossovers, optional buy/sell diamonds for execution cues, and candle coloring to display trend strength at a glance.
Theoretical Foundation
Traditional MACD compares the difference between two exponential moving averages of price.
This variant replaces price with anchored VWAP, making the calculation sensitive to actual traded volume across your chosen period (Session, Week, or Month).
Three principles drive the logic:
Anchored VWAP Momentum : Price is weighted by volume and aggregated across the selected anchor. The fast and slow VWAP-EMAs then expose how liquidity-corrected momentum is expanding or contracting.
Zero-Line Distance Filtering : Crossover signals that occur too close to the zero line are removed. This eliminates the common MACD problem of generating weak, directionless signals in choppy phases.
Directional Visualization : MACD line, signal line, histogram, candle colors, and optional diamond markers all react to shifts in VWAP-momentum, giving you a clean structural read on market pressure.
Anchoring VWAP to session, weekly, or monthly resets creates a systematic framework for tracking how capital flow is driving momentum throughout each trading cycle.
How It Works
The core engine processes momentum through several mapped layers:
VWAP Aggregation : Price ร volume is accumulated until the anchor resets. This creates a continuous, liquidity-corrected VWAP curve.
MACD Construction : Fast and slow VWAP-EMAs define the MACD line, while a smoothed signal line identifies edges where momentum shifts.
Zero-Line Distance Filter : MACD and signal must both exceed a threshold distance from zero for a crossover to count as valid. This prevents fake crossovers during compression.
Visual Momentum Layers : It uses gradient line coloring to show bullish or bearish momentum, histogram shading to highlight energy shifts, cross dots to mark valid crossovers, optional buy/sell diamonds for execution cues, and candle coloring to display trend strength at a glance.
This layered structure ensures you always know whether momentum is strengthening, fading, or transitioning.
Interpretation
You get a clean, structural understanding of VWAP-based momentum:
Bullish Phases : MACD > Signal, histogram expands, candles turn bullish, and crossovers occur above the threshold.
Bearish Phases : MACD < Signal, histogram drives lower, candles shift bearish, and downward crossovers trigger below the threshold.
Neutral/Compression : Both lines remain near the zero boundary, histogram flattens, and signals are suppressed to avoid noise.
This creates a more disciplined version of MACD momentum reading - less noise, more conviction, and better alignment with liquidity.
Strategy Integration
Trend Continuation : Use VWAP-MACD crossovers that occur far from the zero line as higher-conviction entries.
Zero-Line Rejection : Watch for histogram contractions near zero to anticipate flattening momentum and potential reversal setups.
Session/Week/Month Anchors : Session anchor works best for intraday flows. Weekly or monthly anchor structures create cleaner macro momentum reads for swing trading.
Signal-Only Execution : Optional buy/sell diamonds give you direct points to trigger trades without overanalyzing the chart.
This indicator slots cleanly into any momentum-following system and offers higher signal quality than classic MACD variants due to the volume-weighted core.
Technical Implementation Details
VWAP Reset Logic : Session (D), Week (W), or Month (M)
Dynamic Fast/Slow VWAP EMAs : Fully configurable lengths, smoothing and anchor settings
MACD/Signal Line Framework : Traditional structure with volume-anchored input
Zero-Line Filtering : Adjustable threshold for structural confirmation
Dual Visualization Layers : MACD body + histogram + crosses + candle coloring
Optimized Performance : Lightweight, fast rendering across all timeframes
Optimal Application Parameters
Timeframes:
1- 15 min : Short-term momentum scalping and rapid trend shifts
30- 240 min : Balanced momentum mapping with clear structural filtering
Daily : Macro VWAP regime identification
Suggested Configuration:
Fast Length : 12
Slow Length : 26
Signal Length : 9
Zero Threshold : 200 - 500 depending on asset range
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Assets with strong intraday or session-based volume cycles
Markets where volume-weighted momentum leads price swings
Trend environments with strong acceleration
Reduced Effectiveness:
Ultra-choppy markets hugging the VWAP axis
Sessions with abnormally low volume
Ranges where MACD naturally compresses
Disclaimer
The VWAP-Anchored MACD is a structural momentum tool designed to enhance directional clarity - not a guaranteed predictor. Performance depends on market regime, volatility, and disciplined execution. Use it alongside broader trend, volume, and structural analysis for optimal results.
CloudScore by ExitAnt๐ CloudScore by ExitAnt
CloudScore by ExitAnt ๋ ์ผ๋ชฉ๊ท ํํ(Ichimoku Cloud)์ ๊ตฌ๋ฆ๋ ๋ํ ์ ํธ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก,
๋ค์ํ ์ถ์ธ ๋ณด์กฐ์งํ๋ฅผ ๊ฒฐํฉํ์ฌ ๋งค์ ์ถ์ธ ๊ฐ๋๋ฅผ ์ ์ํ(0~5์ ) ํด์ฃผ๋ ํธ๋ ๋ ๋ถ์ ์งํ์
๋๋ค.
๊ธฐ์กด ์ผ๋ชฉ๊ตฌ๋ฆ ๋จ๋
์ ํธ๋ ๋ณ๋์ฑ์ด ํฌ๊ฑฐ๋ ์ ๋ขฐ๋๊ฐ ๋ฎ์ ์ ์๊ธฐ ๋๋ฌธ์,
์ด ์งํ๋ ์ฌ๋ฌ ๊ธฐ์ ์ ์์๋ฅผ ์ข
ํฉ์ ์ผ๋ก ํ๊ฐํ์ฌ
โ์ง๊ธ์ด ์ผ๋ง๋ ๊ฐ๋ ฅํ ์ถ์ธ ์ ํ ๊ตฌ๊ฐ์ธ๊ฐ?โ ๋ฅผ ์ง๊ด์ ์ผ๋ก ๋ณด์ฌ์ค๋๋ค.
๐ฏ ์งํ ๋ชฉ์
์ผ๋ชฉ๊ท ํํ ๊ตฌ๋ฆ ๋ํ์ ์ ๋ขฐ๋ ๊ฐํ
๋ณด์กฐ์งํ ์ ํธ๋ฅผ ์๋์ผ๋ก ์ ์ํํ์ฌ ํ๋์ ํ๋จ ๊ฐ๋ฅ
์บ๋ค ์์ ์ด๋ชจ์ง๋ฅผ ๋ฐฐ์นํด ์๊ฐ์ ์ผ๋ก ์ฆ์ ํด์ ๊ฐ๋ฅ
์ด๋ณด์๋ถํฐ ์๋ จ์๊น์ง ๋ชจ๋ ํ์ฉ ๊ฐ๋ฅํ ์ถ์ธ ์ง์
ํํฐ๋ง ๋๊ตฌ
๐ง ์ ์ ๊ณ์ฐ ๋ฐฉ์ (0~5์ )
๊ตฌ๋ฆ ์ํฅ ๋ํ๊ฐ ๋ฐ์ํ๋ฉด ์๋ ์กฐ๊ฑด๋ค์ ์ฒดํฌํ์ฌ ์ ์๋ฅผ ๋ถ์ฌํฉ๋๋ค.
โถ +1์ ์กฐ๊ฑด ํญ๋ชฉ
1. ๊ณจ๋ ํฌ๋ก์ค ๋ฐ์
* ์ต๊ทผ ์ค์ ํ n๋ด ์ด๋ด์์ Fast MA๊ฐ Slow MA๋ฅผ ์ํฅ ๋ํํ ๊ฒฝ์ฐ
2. RSI ๊ณผ๋งค๋ ๊ตฌ๊ฐ
* RSI๊ฐ ์ค์ ๊ฐ ์ดํ์ผ ๋ ์ถ์ธ ์ ํ ๊ฐ๋ฅ์ฑ์ด ์ฆ๊ฐ
3. MACD ๊ฐ์ธ ์ ํ
* MACD๊ฐ 0 ์๋์ ์์ผ๋ฉด์ ์๊ทธ๋์ ์ํฅ ๋ํ ๋ฐ์
4. RSI ์์น ๋ค์ด๋ฒ์ ์ค
* ๊ฐ๊ฒฉ์ ๋ฎ์์ง์ง๋ง RSI๋ ์์น โ ๋ฐ๋ฅ ์ ํธ
5. 200MA ์์ ์์น
* ์ฅ๊ธฐ ์ถ์ธ์ ์ผ์นํ๋ ์์ ๋ง ์ ์ ๊ฐํ
โถ ์ ์๋ณ ์ด๋ชจ์ง
1์ ๐ก : ์ฝํ ์ง์
์ ํธ
2์ ๐ข : ๊ด์ฐฐ์ด ํ์ํ ๊ฐํ ์ ํธ
3์ ๐ : ์ถ์ธ ์ ํ ๊ฐ๋ฅ์ฑ ์ฆ๊ฐ
4์ ๐ : ๊ฐํ ์ถ์ธ ์ ํธ
5์ ๐ : ๋งค์ฐ ๊ฐ๋ ฅํ ์ง์
์๊ทธ๋
๐ฅ ์ฐจํธ ํ์ ์์
๊ตฌ๋ฆ๋(Span A / Span B)๋ง ํ์ํ์ฌ ๋ ๊น๋ํ ์๊ฐํ
์ด๋ชจ์ง๋ ์บ๋ค ์์ ์๋ ๋ฐฐ์น
ํ์ ์ ์ต๊ทผ n๊ฐ์ ์บ๋ค๋ง ํ์ํ๋๋ก ์ค์ ๊ฐ๋ฅ
์ค๋ฅธ์ชฝ ์๋จ์ ์กฐ๊ฑด ์์ฝ ์๋ด์ฐฝ ํ์
๐ง ์ฌ์ฉ์ ์ค์
Tenkan / Kijun / SenkouB ๊ธฐ๊ฐ ์กฐ์
MA, RSI, MACD, ๋ค์ด๋ฒ์ ์ค ์ฌ์ฉ ์ฌ๋ถ ์ ํ
์ต๊ทผ ๋ช ๊ฐ์ ์บ๋ค๊น์ง ์ ์๋ฅผ ํ์ํ ์ง ์ค์ ๊ฐ๋ฅ
์ด๋ชจ์ง๋ ์ฌ์ฉ์ ์ทจํฅ์ ๋ฐ๋ผ ๋ณ๊ฒฝ ๊ฐ๋ฅ
โ ๏ธ ์ ์์ฌํญ
๋ณธ ์งํ๋ **๊ฐ๊ฒฉ ์์ง์์ ํ๋ฅ ์ ํด์์ ๋๋ ๋ณด์กฐ์งํ**์ด๋ฉฐ, ๋จ๋
์ผ๋ก ๋งค์ยท๋งค๋ ๊ฒฐ์ ์ ๋ด๋ ค์๋ ์ ๋ฉ๋๋ค.
์์ฅ ์ํฉ(๋ณ๋์ฑ, ๊ฑฐ๋๋, ํ๋ ์)์ ๋ฐ๋ผ ์ ํธ์ ์ ๋ขฐ๋๋ ๋ฌ๋ผ์ง ์ ์์ต๋๋ค.
์ค์ ๋งค๋งค ์ ๋ต์ ์ ์ฉํ๊ธฐ ์ ๋ฐ๋์ ๋ฐฑํ
์คํธ์ ๊ฒ์ฆ์ด ํ์ํฉ๋๋ค.
# **๐ CloudScore by ExitAnt โ English Description**
๐ CloudScore by ExitAnt
CloudScore by ExitAnt is a trend analysis indicator that evaluates bullish trend strength by scoring (0โ5 points) signals based on Ichimoku Cloud breakouts combined with multiple momentum and trend indicators.
Since the default Ichimoku Cloud breakout alone can be unreliable or highly volatile, this indicator integrates several technical conditions to visually and intuitively show
โHow strong is the current trend reversal opportunity?โ
๐ฏ Purpose of the Indicator
Enhance the reliability of Ichimoku Cloud breakout signals
Automatically score multiple signals for quick visual judgment
Place emojis directly above candles for instant interpretation
Works for both beginners and experienced traders as a trend-entry filtering tool
๐ง Scoring Logic (0โ5 points)
When a bullish breakout above the cloud occurs, the indicator checks the following conditions and assigns points.
โถ +1 Point Conditions
1. Golden Cross
* Fast MA crosses above Slow MA within the user-defined lookback window
2. RSI Oversold
* RSI below threshold increases the probability of trend reversal
3. MACD Bullish Shift
* MACD is below zero while crossing above the signal line
4. RSI Bullish Divergence
* Price makes a lower low while RSI makes a higher low โ potential bottom signal
5. Above the 200MA
* Only scores when price aligns with long-term trend direction
โถ Emoji by Score
1 Point ๐ก : Weak early signal
2 Points ๐ข : Improved setup; watch closely
3 Points ๐ : Decent trend reversal possibility
4 Points ๐ : Strong trend entry signal
5 Points ๐ : Very strong bullish signal
๐ฅ Chart Elements
Displays only Span A / Span B to keep the cloud visually clean
Emojis automatically appear above candles
Optionally limit the number of candles displaying signals
Summary box appears in the upper-right corner
๐ง User Settings
Adjustable Tenkan / Kijun / Senkou B periods
Enable/disable MA, RSI, MACD, divergence filters
Set how many recent candles should show the score
Emojis can be customized by the user
โ ๏ธ Disclaimer
This is a technical assistant tool that helps interpret price movement probabilities; it should not be used as a standalone buy/sell signal.
Signal reliability may vary depending on volatility, volume, and timeframe.
Always conduct backtesting and validation before using it in real trading strategies.
VectorCoresAI SMA + Bollinger Fusion v1VectorCoresAI โ SMA + Bollinger Fusion (Free)
A clean, modern visual tool combining four key SMAs with an adaptive Bollinger structure.
This script merges two of the most widely used charting concepts into one simple, readable view:
Included
โ SMA 21
โ SMA 50
โ SMA 100
โ SMA 200
โ Bollinger Bands with adjustable length + multiplier
โ Adaptive โFusion Squeezeโ shading to highlight compression phases
โ Optional visibility toggles for each SMA
โ Lightweight, non-intrusive overlay
What this indicator is designed for
This tool helps traders quickly understand:
Trend alignment using the 21/50/100/200 SMAs
Volatility conditions around the Bollinger midline
Price compression and expansion
Early awareness of breakout environments
Clean visual structure without clutter
Everything is intentionally simple and transparent.
No predictions, no signals, no trading advice โ just clean chart structure.
Why this version is unique
Instead of using standard Bollinger visuals, this Fusion edition uses subtle adaptive shading to show when the bands contract.
This makes compression zones instantly visible without overwhelming the chart.
The SMAs are fixed to widely-used trend levels, giving consistent readings across all markets and timeframes.
Who this is for
Newer traders who want a clear introduction to SMAs + Bollinger Bands
Experienced traders who want a lightweight visual tool
Anyone building structure-based strategies
Users of the VectorCoresAI suite who want a simple companion tool
Notes
This indicator is part of the VectorCoresAI Free Tools collection.
All logic is open-source and educational only.
More tools coming soon.
US Market Long Horizon Momentum Summary in one paragraph
US Market Long Horizon Momentum is a trend following strategy for US index ETFs and futures built around a single eighteen month time series momentum measure. It helps you stay long during persistent bull regimes and step aside or flip short when long term momentum turns negative.
Scope and intent
โข Markets. Large cap US equity indices, liquid US index ETFs, index futures
โข Timeframes. 4h/ Daily charts
โข Default demo used in the publication. SPY on 4h timeframe chart
โข Purpose. Provide a minimal long bias index timing model that can reduce deep drawdowns and capture major cycles without parameter mining
โข Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
โข Unique concept or fusion. One unscaled multiple month log return of an external benchmark symbol drives all entries and exits, with optional volatility targeting as a single risk control switch.
โข Failure mode addressed. Fully passive buy and hold ignores the sign of long horizon momentum and can sit through multi year drawdowns. This script offers a way to step down risk in prolonged negative momentum without chasing short term noise.
โข Testability. All parameters are visible in Inputs and the momentum series is plotted so users can verify every regime change in the Tester and on price history.
โข Portable yardstick. The log return over a fixed window is a unit that can be applied to any liquid symbol with daily data.
Method overview in plain language
The method looks at how far the benchmark symbol has moved in log return terms over an eighteen month window in our example. If that long horizon return is positive the strategy allows a long stance on the traded symbol. If it is negative and shorts are enabled the strategy can flip short, otherwise it goes flat. There is an optional realised volatility estimate on the traded symbol that can scale position size toward a target annual volatility, but in the default configuration the model uses unit leverage and only the sign of momentum matters.
Base measures
Return basis. The core yardstick is the natural log of close divided by the close eighteen months ago on the benchmark symbol. Daily log returns of the traded symbol feed the realised volatility estimate when volatility targeting is enabled.
Components
โข Component one Momentum eighteen months. Log of benchmark close divided by its close mom_lookback bars ago. Its sign defines the trend regime. No extra smoothing is applied beyond the long window itself.
โข Component two Realised volatility optional. Standard deviation of daily log returns on the traded symbol over sixty three days. Annualised by the square root of 252. Used only when volatility targeting is enabled.
โข Optional component Volatility targeting. Converts target annual volatility and realised volatility into a leverage factor clipped by a maximum leverage setting.
Fusion rule
The model uses a simple gate. First compute the sign of eighteen month log momentum on the benchmark symbol. Optionally compute leverage from volatility. The sign decides whether the strategy wants to be long, short, or flat. Leverage only rescales position size when enabled and does not change direction.
Signal rule
โข Long suggestion. When eighteen month log momentum on the benchmark symbol is greater than zero, the strategy wants to be long.
โข Short suggestion. When that log momentum is less than zero and shorts are allowed, the strategy wants to be short. If shorts are disabled it stays flat instead.
โข Wait state. When the log momentum is exactly zero or history is not long enough the strategy stays flat.
โข In position. In practice the strategy sits IN LONG while the sign stays positive and flips to IN SHORT or flat only when the sign changes.
Inputs with guidance
Setup
โข Momentum Lookback (months). Controls the horizon of the log return on the benchmark symbol. Typical range 6 to 24 months. Raising it makes the model slower and more selective. Lowering it makes it more reactive and sensitive to medium term noise.
โข Symbol. External symbol used for the momentum calculation, SPY by default. Changing it lets you time other indices or run signals from a benchmark while trading a correlated instrument.
Logic
โข Allow Shorts. When true the strategy will open short positions during negative momentum regimes. When false it will stay flat whenever momentum is negative. Practical setting is tied to whether you use a margin account or an ETF that supports shorting.
Internal risk parameters (not exposed as inputs in this version) are:
โข Target Vol (annual). Target annual volatility for volatility targeting, default 0.2.
โข Vol Lookback (days). Window for realised volatility, default 63 trading days.
โข Max Leverage. Cap on leverage when volatility targeting is enabled, default 2.
Usage recipes
Swing continuation
โข Signal timeframe. Use the daily chart.
โข Benchmark symbol. Leave at SPY for US equity index exposure.
โข Momentum lookback. Eighteen months as a default, with twelve months as an alternative preset for a faster swing bias.
Properties visible in this publication
โข Initial capital. 100000
โข Base currency. USD
โข Default order size method. 5% of the total capital in this example
โข Pyramiding. 0
โข Commission. 0.03 percent
โข Slippage. 3 ticks
โข Process orders on close. On
โข Bar magnifier. Off
โข Recalculate after order is filled. Off
โข Calc on every tick. Off
โข All request.security calls use lookahead = barmerge.lookahead_off
Realism and responsible publication
The strategy is for education and research only. It does not claim any guaranteed edge or future performance. All results in Strategy Tester are hypothetical and depend on the data vendor, costs, and slippage assumptions. Intrabar motion is not modeled inside daily bars so extreme moves and gaps can lead to fills that differ from live trading. The logic is built for standard candles and should not be used on synthetic chart types for execution decisions.
Performance is sensitive to regime structure in the US equity market, which may change over time. The strategy does not protect against single day crash risk inside bars and does not model gap risk explicitly. Past behavior of SPY and the momentum effect does not guarantee future persistence.
Honest limitations and failure modes
โข Long sideways regimes with small net change over eighteen months can lead to whipsaw around the zero line.
โข Very sharp V shaped reversals after deep declines will often be missed because the model waits for momentum to turn positive again.
โข The sample size in a full SPY history is small because regime changes are infrequent, so any test must be interpreted as indicative rather than statistically precise.
โข The model is highly dependent on the chosen lookback. Users should test nearby values and validate that behavior is qualitatively stable.
Legal
Education and research only. Not investment advice. You are responsible for your own decisions. Always test on historical data and in simulation with realistic costs before any live use.
Aurora Reversal Suite: Liquidity & Inversion ModelConcept & Methodology The Aurora Reversal Suite is not a general-purpose indicator; it is a hard-coded algorithmic implementation of a specific institutional reversal model often referred to as the "2022 Mentorship Model" or "Sweep-to-Inversion" setup.
While many scripts display Liquidity Sweeps or Fair Value Gaps individually, this script solves the problem of "confluence fatigue" by algorithmically enforcing a strict order of operations. It does not alert on every sweep; it alerts only when a specific sequence of price action events occurs in a verified order.
The Algorithmic Logic (How it Works) The core value of this script lies in its conditional filtering logic, which automates the following manual verification process:
Event A: Liquidity Sweep
The script first monitors key institutional levels: Previous Day High/Low, Session High/Low (Asia/London/NY), and dynamic Swing Points.
It detects a "Sweep" event when price breaches a level but fails to close beyond it (or closes back inside within a defined lookback period).
Event B: Displacement & Inversion
Unlike standard FVG indicators, this script searches specifically for Inversion FVGs (iFVG) that form immediately following the sweep event.
The script logic requires that the iFVG be created by the displacement leg that reverses the sweep. This binds the "Entry Signal" directly to the "Liquidity Event."
Event C: Algorithmic Filtering (The "Strict" Mode)
To filter out false positives common in choppy markets, the script applies a multi-layer filter before printing a signal:
Volume Qualification: The signal bar's volume must exceed a user-defined multiple of the N-period average volume (default 1.5x) to confirm institutional participation.
SMT Divergence Filter: The script cross-references a correlated asset (e.g., NQ vs. ES or EU vs. DXY). If enabled, a signal is only valid if the correlated asset failed to make a matching high/low at the moment of the sweep (SMT Divergence).
Bias Alignment: The script calculates directional bias using a waterfall logic (Daily > 4H > 1H). Signals counter to this calculated bias are suppressed in "Strict" mode.
Included Features & Components
Automated Market Structure: Real-time labeling of BOS (Break of Structure) and MSS (Market Structure Shift) based on swing point logic.
Session Killzones: Visual boxes for Asia, London, and NY sessions with auto-extending high/low lines to track session liquidity.
Multi-Timeframe Dashboard: A calculated table displaying the trend state of the Daily, 4H, and 1H timeframes to assist with top-down analysis.
Power of 3 (PO3) Overlay: Visualization of higher-timeframe candle geometry on lower-timeframe charts to identify accumulation/distribution phases.
Why This Mashup is Necessary Attempting to trade this specific reversal model using separate indicators results in chart clutter and conflicting signals. By combining the Sweep detection, iFVG creation, and SMT filtering into a single codebase, we can programmatically eliminate "naked" sweeps that have no displacement, providing a cleaner and more objective view of the market structure.
Settings & Customization
Signal Mode: Choose between "Simple" (Price Action only) or "Strict" (Trend + Volume filtered).
SMT Input: Manually define the correlated asset ticker for divergence checks.
Visuals: Fully customizable colors for Bullish/Bearish scenarios to fit light or dark themes.
Disclaimer This script is a tool for market analysis and does not guarantee future results. It is intended to assist traders in identifying high-probability setups based on historical price action concepts.
