Kinetic EMA & Volume with State EngineKinetic EMA & Volume with State Engine (EMVOL)
1. Introduction & Concept
The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states:
- Trend direction and strength (from a grid of prime‑period EMAs).
- Volume regime (expansion, contraction, climax, dry‑up).
- Order‑flow bias via delta (buy versus sell volume).
- A combined scenario label that summarises how these three layers interact.
The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator.
2. Volume Settings
Group: “Volume Settings”
A. Calculation Method
- Geometry (Source File) – Default mode.
Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data.
- Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data.
B. Intrabar Resolution (If Precise)
- Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform.
When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format:
- Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data.
In Geometry mode this counter simply reflects the processed bars in the current session.
3. Kinetic Vector Settings
Group: “Kinetic Vector”
A. Vector Window
- Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length.
- Shorter windows make the state engine more reactive and sensitive to local swings.
- Longer windows make the states more stable and better suited to higher‑timeframe structure.
B. Max Prime Period
- Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles.
- A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure.
- A lower limit focuses the analysis on short- and medium‑term behaviour.
C. Price Source
- Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic.
4. State Engine Settings
Group: “State Engine Settings”
These inputs define how the continuous vectors are translated into discrete states.
A. Trend Thresholds
- Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”.
- Weak Trend Threshold – Inner boundary between neutral and directional conditions.
Roughly:
- |trend| < weak → Neutral trend state.
- weak < |trend| ≤ strong → Bullish/Bearish.
- |trend| > strong → Extreme Bullish/Extreme Bearish.
B. Volume Thresholds
- Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation).
- Volume Expansion Threshold – Boundary for normal expansion versus contraction.
Conceptually:
- Volume above “expansion” indicates increasing activity.
- Volume near or above “climax” marks extreme participation.
- Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states.
C. Delta Thresholds
- Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta.
- Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow.
Combined with the sign of the delta vector, these thresholds classify order flow as:
- Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell.
D. State Hysteresis Bars
- State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour.
- Smaller values switch states quickly; larger values demand more confirmation.
5. Visual Interface
Group: “Visual Interface”
A. Ribbon Base Color
- Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons.
B. Show Dashboard
- Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart.
C. Color Theme
- Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme.
D. Table Position
- Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right).
E. Table Size
- Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming.
F. Show Extended Info
- Show Extended Info – Adds diagnostic rows under the main state summary:
- Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window.
- Values – Displays the current aggregated vectors:
- P: price vector
- V: volume vector
- B: buy‑volume vector
- S: sell‑volume vector
- D: delta vector
Values are bounded between ‑1 and +1.
- Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers.
- Footer – A final row with the symbol and current time: #SYMBOL | HH:MM.
These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes.
6. Language Settings
Group: “Language Settings”
- Select Language – Switches the entire dashboard between English and Turkish.
The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated.
7. Dashboard Structure & Reading Guide
The table summarises the current situation in a few rows:
1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”).
2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.).
3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish).
4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal.
5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar.
6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above.
Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions.
8. State Taxonomy
The state engine organizes market behaviour in three stages.
8.1 Trend States (from the Price Vector)
- Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside.
- Bullish Trend – Upward bias is present, but less extreme.
- Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid.
- Bearish Trend – Downward bias, with the EMA grid sloping down.
- Extreme Bearish Trend – Strong downside alignment across the grid.
8.2 Volume Regime States (from the Volume Vector)
- Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction.
- Volume Expansion – Activity above normal but below the climax threshold.
- Neutral Volume – No major expansion or contraction versus recent history.
- Volume Contraction – Activity is drying up compared with the past.
- Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage.
8.3 Delta Behaviour States (from the Delta Vector)
- Extreme Buy Delta – Buying pressure dominates strongly.
- Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme.
- Neutral Delta – Buy and sell flows are roughly balanced.
- Sell‑Dominant Delta – Selling pressure dominates.
- Extreme Sell Delta – Aggressive, one‑sided selling.
8.4 Combined Scenario State s
EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals.
Trending Scenarios
1. Trending Buy Confirmed
- Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta.
- Educational idea: a healthy uptrend where both participation and order flow agree with the direction.
2. Trending Buy – Weak Volume
- Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side.
- Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile.
3. Trending Sell Confirmed
- Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta.
- Educational idea: strong downtrend with both volume and order‑flow confirmation.
4. Trending Sell – Weak Volume
- Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side.
- Educational idea: downside continues but with limited participation; vulnerable to short‑covering.
Sideways / Range Scenarios
5. Sideways Balanced
- Neutral trend, neutral delta, neutral volume.
- Classic range environment; low directional edge, suitable for observation and context rather than trend trading.
6. Sideways with Buy Pressure
- Neutral trend, but buy‑side delta is dominant or extreme.
- Range with latent accumulation: price may still appear sideways, but buyers are quietly more active.
7. Sideways with Sell Pressure
- Neutral trend with dominant or extreme sell‑side delta.
- Distribution‑like environment where price chops while sellers are gradually more aggressive.
Exhaustion & Volume Extremes
8. Exhaustion – Buy Risk
- Extreme bullish trend, volume climax and strong buy‑side delta.
- Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off.
9. Exhaustion – Sell Risk
- Extreme bearish trend, volume dry‑up and strong sell‑side delta.
- Suggests one‑sided selling into increasingly thin liquidity.
10. Volume Climax (Buy)
- Neutral trend, neutral delta, but volume at climax levels.
- Often associated with a “big event” bar where participation spikes without a clear directional commitment.
11. Volume Climax (Sell / Dry‑Up)
- Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up.
- Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses.
Divergences
12. Divergence – Bullish Context
- Bullish or extreme bullish trend, but delta has faded back to neutral.
- Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections.
13. Divergence – Bearish Context
- Bearish or extreme bearish trend with a neutral delta.
- Downtrend persists, but selling pressure no longer dominates as clearly.
Consolidation & Compression
14. Consolidation
- Default state when no specific pattern dominates and the market is broadly balanced.
- Educational use: treat this as a “no strong edge” label; focus on structure rather than direction.
15. Breakout Imminent
- Neutral trend with contracting volume.
- Compression phase where energy is building up; often precedes transitions into trending or shock scenarios.
Traps & Hidden Divergences
16. Bull Trap
- Bullish trend, with neutral or contracting volume and sell‑side delta.
- Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies.
17. Bear Trap
- Bearish trend, neutral or contracting volume, but buy‑side delta.
- Downtrend “looks” intact, while buyers become more aggressive underneath the surface.
18. Hidden Bullish Divergence
- Bullish trend, contracting volume, but strong buy‑side delta.
- Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend.
19. Hidden Bearish Divergence
- Bearish trend, volume expansion and strong sell‑side delta.
- Reinforced downside pressure even if price is temporarily retracing.
Reversal & Transition Patterns
20. Reversal to Bearish
- Neutral trend, volume climax and strong sell‑side delta.
- Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside.
21. Reversal to Bullish
- Neutral trend, extreme volume dry‑up and strong buy‑side delta.
- Often associated with selling exhaustion where buyers start to take control.
22. Indecision Spike
- Neutral trend with extreme volume (climax or dry‑up) but neutral delta.
- Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction.
Extended Compression & Acceleration
23. Coiling Phase
- Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided.
- Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move.
24. Bullish Acceleration
- Bullish trend with volume expansion and strong buy‑side delta.
- Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move.
25. Bearish Acceleration
- Bearish trend with volume expansion and strong sell‑side delta.
- Mirror image of Bullish Acceleration on the downside.
Trend Exhaustion & Climax Reversal
26. Bull Exhaustion
- Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta.
- The move has already travelled far; participation fades while price is still elevated.
27. Bear Exhaustion
- Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta.
- Down‑move may be approaching a point where additional selling pressure has diminishing impact.
28. Blow‑Off Top
- Extreme bullish trend, volume climax and extreme buy delta all at once.
- Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction.
29. Selling Climax Reversal
- Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta.
- Marks a very aggressive capitulation phase that can precede major rebounds.
Advanced VSA / Anomaly Scenarios
30. Absorption
- Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell).
- Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained.
31. Distribution
- Scenario where volume remains elevated while directional conviction weakens and the trend slows.
- Represents potential “selling into strength” or “buying into weakness”, depending on the active side.
32. Liquidity Vacuum
- Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta.
- Highlights environments where even small orders can move price disproportionately.
33. Anomaly / Shock Event
- Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution.
- Intended as a warning label for unusual events rather than a specific tradeable pattern.
9. Educational Usage Notes
- EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time.
- A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes.
- Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes.
10. Disclaimer & Educational Purpose
This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system.
Please note:
1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals.
2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument.
3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool.
4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.
Phân tích Xu hướng
TTM Squeeze Pro Enhanced v1.5.1 [pyrevo]# TTM Squeeze Pro Enhanced
**Version:** 1.5.1
**Author:** pyrevo
**License:** MPL 2.0
## Credits
This indicator is a collective work based on the contributions of the TradingView community:
* **John Carter**: Creator of the original TTM Squeeze and TTM Squeeze Pro concepts.
* **Lazybear**: Original interpretation of the TTM Squeeze (Squeeze Momentum Indicator).
* **Makit0**: Evolution of Lazybear's script to factor in TTM Squeeze Pro upgrades (Squeeze PRO Arrows).
* **marsrides**: Some aesthetics solutions.
* **Beardy_Fred**: The base code from which this enhanced version was derived.
## Overview
**TTM Squeeze Pro Enhanced** is a professional-grade momentum and volatility indicator designed to identify explosive breakout opportunities. It is a refined version of the community's collective works, with amendments primarily to the Squeeze Conditions and visual aesthetics to provide a clearer, more actionable reading of market state.
### The Concept
For those unfamiliar with the TTM Squeeze, it is a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average) relate to Keltner Channels (average true range bands) compared with the momentum of the price action.
The concept is that as Bollinger Bands compress within Keltner Channels, price volatility decreases, giving way for a potential explosive price movement up or down.
### TTM Squeeze vs. TTM Squeeze Pro
* **Original TTM Squeeze:** Uses a 1.5 ATR Keltner Channel.
* **TTM Squeeze Pro (Enhanced):** Uses 1.0, 1.5, and 2.0 ATR Keltner Channels.
This helps differentiate between levels of squeeze (compression). The greater the compression (Bollinger Bands moving deeper into tighter Keltner Channels), the more potential for explosive moves.
## Indicator Analysis
### 1. Squeeze Detection (Dots)
The colored dots along the zero line represent the state of market volatility. This enhanced version uses a distinct color palette to indicate compression levels:
* **🔴 Red Dots (High Compression):** Extreme squeeze. One or both Bollinger Bands are inside the 1.0 ATR Keltner Channel.
* **🟠 Orange Dots (Medium Compression):** Significant squeeze. One or both BBs are inside the 1.5 ATR Keltner Channel.
* **⚪ Gray Dots (Low Compression):** Standard squeeze. One or both BBs are inside the 2.0 ATR Keltner Channel.
* **◽ Light Gray Dots (No Squeeze):** Volatility is normal or expanding. Squeeze has "fired".
### 2. Momentum (Histogram)
The histogram bars show price momentum relative to the squeeze:
* **Bright Green:** Positive, increasing momentum (Bullish).
* **Dark Green:** Positive, decreasing momentum (Bullish exhaustion).
* **Bright Red:** Negative, increasing momentum (Bearish).
* **Dark Red:** Negative, decreasing momentum (Bearish exhaustion).
### 3. Dual Momentum System
An optional secondary system to gauge trend strength:
* **Fast & Slow Momentum Lines:** Moving averages of the momentum to help identify crossovers.
* **Trend Crossovers:** Triangle markers indicate when fast momentum crosses slow momentum.
## Ideal Scenario
As the ticker enters the squeeze, **Gray dots** would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict, **Orange dots** would highlight a medium compression. As the price action and momentum continues to compress, a **Red dot** shows warning of high compression.
As price action leaves the squeeze, the coloring would reverse (Red → Orange → Gray → Light Gray). Any compression squeeze is considered "fired" at the first Light Gray dot that appears.
*Note: This is an ideal progression, however any type of squeeze sequence may appear at anytime.*
## Entry and Exit Guide
* **Entry:** John Carter recommends entering a position after at least 5 dots of compression (Gray/Orange/Red) or waiting for the first "No Squeeze" dot (Light Gray) to appear with confirming momentum.
* **Exit:** Exit on the second bar of decreasing momentum (Dark Green or Dark Red), or remain in the position after confirming a continuing trend through a separate indicator.
## Settings & Customization
* **Timeframe:** Built-in Multi-Timeframe (MTF) support allowing you to view higher-timeframe squeeze signals on lower-timeframe charts.
* **Appearance Modes:**
* **Default:** Standard enhanced palette.
* **Modern:** High-contrast palette (Teal/Red/Gold).
* **Classic MACD:** Traditional Blue/Orange line configuration.
* **Dashboard:** An on-chart table providing real-time data on squeeze status, momentum value, and trend strength.
KIMATIX S|R Zones Intra-SwingKIMATIX S|R Zones Intra-Swing is a higher-timeframe support–resistance engine designed to map the most important swing levels for intraday and swing traders.
The script scans Daily and 4H price action, detects wick-based swing highs and lows,
and converts them into clean S/R zones that project into the future.
Zones are color-coded by timeframe and by role (support or resistance),
giving you an instant visual map of where price is most likely to react.
When price breaks cleanly through a zone,
it dynamically flips (resistance → support or support → resistance),
so your levels always reflect the current market structure.
To avoid clutter, only the closest zones around current price are displayed – ideal for planning entries, targets, and stop placement.
Use it as a higher-timeframe roadmap and combine it with your intraday execution system for precise, high-confluence trades.
DWMY OHLCShows the prior D/W/M/Y OHLC levels with precise horizontal segments that update at each new session. Great for spotting reaction zones, sweeps, and bias shifts at important levels.
Monthly and Yearly levels are toggled off by default to avoid clutter, but can of course be toggled back on in the settings
KIMATIX S|R Zones ScalpKIMATIX S|R Zones Scalp is a multi-timeframe support–resistance engine built for intraday scalpers and day traders.
The script automatically detects swing highs/lows on higher timeframes and converts them into precise S/R zones that extend into the future.
Each zone is visualized as a clean price band, color-coded by timeframe (15m / 5m) and by role (support or resistance).
When price breaks decisively through a zone, that level dynamically flips from resistance to support (or vice versa), keeping the map always up to date.
To avoid chart clutter, only the closest zones around current price are displayed, giving you an ultra-clean “trade map” with the most actionable levels for entries, partials, and stops.
Perfect for scalping indices, futures, FX, and crypto.
Key Features
Automatic 15m and 5m support & resistance zone detection
Wick-based swing identification for precise levels
Dynamic role flip: resistance → support and support → resistance after breaks
Distance-based filtering: shows only the nearest zones around price
Adjustable zone width, lookback and projection length
Separate colors for HTF/LTF and for support vs. resistance
Works on any symbol and intraday timeframe
Use it as a standalone S/R map or as a confluence layer with orderflow, volume or trend tools.
Ghost Super EMAGhost Super EMA: Dynamic Dual-Filter Trend System
Indicator Overview
The GHOST SUPER EMA is a robust trend-following indicator designed to give traders a comprehensive view of trend direction, volatility, and bias. It achieves this by combining a unique mashup of two distinct Supertrend bands with a single Exponential Moving Average (EMA).
The result is a triple-layered visualization of the market's structure: the two Supertrend bands form a Dynamic Cloud for visual support/resistance, and the EMA provides a crucial speed confirmation filter.
Core Components & Technical Justification
The core of this indicator functions powerfully on the current chart timeframe when the Timeframe input is left blank. The components are combined to create a unique, layered filtration system:
Outer Supertrend (Factor 3.35): This is the Macro-Trend Boundary. Its higher factor creates a slower, wider band that acts as the primary threshold for trend direction, preventing noise-related whipsaws often seen with standard settings.
Inner Supertrend (Factor 1.67): This is the Volatility Boundary. Its lower factor makes it quicker and measures current market momentum. It provides an early alert for volatility contraction or expansion within the established macro-trend.
Supertrend Cloud: The visual area between the two Supertrend bands represents a Dynamic Support/Resistance Zone. The cloud's width reflects market volatility. Price trading within this zone signals potential consolidation or momentum loss. Its color is determined by the Close price relative to the Outer Supertrend.
EMA (Length 20): This is the Speed Confirmation Filter. A classic trend measurement, its color (Green/Red) serves as an independent velocity check, validating the primary trend signal from the Supertrend Cloud.
Trading Signals and Confirmation
A confirmed trading bias requires the simultaneous alignment of both the Cloud and the EMA:
🟢 Bullish Confirmation (Go Long): The Supertrend Cloud is Green (Price above Outer ST) AND the EMA is Green (Price above EMA).
🔴 Bearish Confirmation (Go Short): The Supertrend Cloud is Red (Price below Outer ST) AND the EMA is Red (Price below EMA).
Optional Advanced Filtering: Multi-Timeframe (MTF) Tool
The Timeframe input is optional and serves as an advanced filter for obtaining market context.
Function: By entering a Higher Timeframe (HTF) value (e.g., entering "4H" or "D"), the indicator uses the request.security() function to fetch all three components (Dual Supertrend and EMA) from that stable, larger timeframe.
Utility: This anchors trading decisions to the macro-trend, filtering out lower-timeframe noise and false signals. Traders can ensure their entries on a fast chart (e.g., 5-minute) are aligned with the dominant trend of the chosen higher timeframe (e.g., 1-hour). If the input is left blank, the indicator runs on the current chart's timeframe.
Customizable Settings
The following inputs are available for user configuration:
ATR Length: Period for Average True Range calculation (Default: 10).
Supertrend Factor 1: Factor for the Outer (Slow) Supertrend (Default: 3.35).
Supertrend Factor 2: Factor for the Inner (Fast) Supertrend (Default: 1.67).
EMA Length: Period for the Exponential Moving Average (Default: 20).
Timeframe: Optional MTF input. Leave blank for current chart timeframe (Default: "").
Disclaimer: Past performance is not indicative of future results. This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions.
5MA＋スーパートレンド + Disparity Scalping (SIMPLE FILTER)5MA + ATR Trend Filter + Disparity Scalping
This indicator combines a five-EMA trend framework, an ATR-based trailing trend line, a volatility breakout detector, and an ultra-fast scalping module using RSI and custom momentum prediction.
It is designed for both trend continuation and rapid reversal trading.
🔹 Main Components
1️⃣ Five-EMA Trend Framework
Uses 9 / 20 / 50 / 100 / 200 EMAs
Identifies short-term and long-term market direction
Provides dynamic support and resistance
Helpful for determining breakout vs. pullback conditions
2️⃣ ATR-Based Trailing Trend Line
Uses ATR multiplier to build a trailing stop line
Color change indicates directional shift
Works as a trend filter or trailing stop reference
Helps avoid counter-trend trades during strong trends
3️⃣ High-Volatility Breakout Detector (Optimized for Fast Markets)
Uses ATR expansion, Bollinger band breakout, and volatility comparison (HV vs RV)
Detects sudden market acceleration
Generates breakout BUY/SELL signals when volatility pressure aligns with direction
Useful for explosive markets such as gold or crypto, but compatible with all assets
4️⃣ Ultra-Fast Disparity Scalper
Measures price distance from EMA5 and EMA10
Uses RSI for exhaustion filtering
Predicts momentum turns with a custom RVI-based algorithm
Generates early reversal BUY/SELL signals before full market reaction
Designed for scalping in high-speed environments
5️⃣ Simple Overheat Filter
Blocks trades in extremely overbought/oversold zones
Gray signals indicate low-quality trade setups to avoid
Helps remove “chasing” entries during excessive deviation
🎯 Best Use Cases
Scalping fast reversals
Entering trends after confirmed volatility breakouts
Filtering entries during extreme overbought/oversold phases
Combining EMA structure with breakout momentum
⚠️ Important Notice
This tool is designed to support decision making, not guarantee trade results.
For best performance, combine with:
Price action (market structure)
Volume/volatility context
Support and resistance analysis
🏷️ Short Description (for compact summary)
Five-EMA trend structure with ATR trailing filter, volatility breakout detection, and ultra-fast scalping using RSI + momentum prediction. Suitable for both rapid reversals and trend continuation setups.
MA Strategy: Dual Entry FilterConfigurable MA Dual-Filter Strategy
This strategy is an enhanced and highly configurable Moving Average (MA) Crossover system designed to mitigate false signals and align trades with the prevailing market trend. It is built to offer traders granular control over entry criteria, elevating it beyond basic, built-in MA crossover indicators.
Originality & Key Features
The script's originality and utility lie in the combination of its two primary, optional filtering mechanics:
Dual Entry Mode (Key Filter): Users can choose between two distinct methods for trade entry:
Crossover (Classic): Immediate entry when the price crosses the main MA.
Full Candle Confirmation (Unique Feature): This mode requires the entire candle body (open, high, low, and close) to be completely above or below the main MA after a crossover event to confirm the signal before entry. This strict confirmation helps to filter out weak crossovers, reducing whipsaws in choppy markets.
Optional Trend Filter: A second, slower MA (Trend Filter MA) can be activated. Trades are only permitted when the faster main MA is aligned with the slower Trend MA (i.e., long only if main MA > Trend MA), ensuring trades are executed with the established higher-timeframe direction.
How to Use the Strategy
The strategy logic is built on simple MA principles but utilizes Pine Script's switch function to allow users to select from six different MA types for both the main signal and the trend filter: SMA, EMA, WMA, HMA, VWMA, and RMA.
Core Logic:
Signal: A cross of the price over the Main MA (filtered by the chosen Entry Mode).
Directional Filter: The Trend Filter must confirm the direction (if enabled).
Exit: Trades are exited on the opposite price crossover of the Main MA.
Customizable Settings Include:
Main MA Type & Length (Default: 40 EMA): The primary signal generator.
Trend Filter MA Type & Length (Default: 70 EMA): The optional, slower trend bias.
Entry Mode: Switch between Crossover or Full Candle Confirmation.
Strategy Results and High-Risk Disclaimer
The default setting for trade size is set to 40% of equity for backtesting demonstration purposes only. This high value is used to generate a large and diverse sample size of trades for historical review on the chart.
This 40% value is NOT a recommended setting for live trading. Per TradingView guidelines, traders are strongly advised to change this input to a sustainable risk level, typically 5% to 10% of equity per trade. Past performance is not a guarantee of future results.
5MA＋TrendMagic + Disparity Scalping (SIMPLE FILTER)5MA + Trend Filter + Disparity Scalping
This multi-purpose indicator combines a five-EMA trend structure, a volatility-based trend filter, and an ultra-fast scalping module to detect both trend continuation and sharp reversal opportunities.
It is suitable for scalping, day trading, and trend-following strategies.
🔹 Main Components
1️⃣ Five-EMA Trend Structure
Displays 9 / 20 / 50 / 100 / 200 EMA levels
Helps identify short-term and long-term market direction
Useful for support and resistance during trending markets
2️⃣ Volatility-Driven Trend Filter
Uses CCI and ATR to form a dynamic trailing line
The line switches color based on momentum direction
Can act as a trailing stop or trend confirmation filter
Helps avoid counter-trend entries
3️⃣ High-Volatility GOLD Signal
Detects sudden volatility expansions using ATR, Bollinger metrics, and volatility comparison (HV vs RV)
Marks rapid breakout situations with potential continuation setups
Available for all assets, optimized for highly volatile markets
4️⃣ Ultra-Fast Disparity Scalper
Measures price deviation from EMA5 and EMA10
Confirms exhaustion using RSI + momentum prediction from a custom RVI model
Generates early BUY/SELL reversal markers
Detects momentum shifts before price fully reacts
5️⃣ Simple Overheat Filter
Prevents trades in extremely overbought/oversold zones
Gray-colored signals indicate unsafe trades to avoid
🎯 Best Use Cases
Catching early reversals during fast movement
Identifying strong trend continuation after volatility expansion
Avoiding low-probability scalps in overheated conditions
Applying EMA structure for confluence with price action
⚠️ Note
This indicator is a decision-support tool, not a standalone signal generator.
For best precision, combine with:
Market structure
Volume analysis
Support / resistance levels
🏷️ Short Description (for compact field)
Multi-function tool combining 5EMA structure, volatility-based trend filtering, and ultra-fast reversal scalping using RSI + custom RVI momentum. Ideal for both trend continuation and rapid reversals.
RSI + Psy + ADX P2RSI + Psy + ADX
This indicator combines multi-length RSI analysis with the Psychological Line (PSY) and ADX trend strength to highlight reversal zones, emotional extremes, and trend conditions in a single unified panel.
🔹 Features
1️⃣ Triple RSI with Dynamic Colors
Displays Short / Mid / Long RSI values (9 / 26 / 52 by default)
Line color changes based on RSI levels:
🔴 Overbought (above 68)
🟢 Oversold (below 32)
⚪ Neutral market conditions
Fixed zone levels at 70 / 50 / 30 for simple visual analysis
2️⃣ Psychological Line (PSY) Extreme Signal
Measures the percentage of bearish candles in the selected period
Only highlights emotional extremes (overbought & oversold conditions)
Red/Green histogram makes market sentiment easy to read
3️⃣ ADX Trend Strength Detector
Confirms trend momentum using ADX
Color-coded levels:
🔵 Weak trend
🟡 Moderate trend
🔴 Strong trend (possible trend continuation)
Helps avoid counter-trend trades during strong momentum
4️⃣ RSI Background Highlight (Mid-term RSI Only)
Background turns RED in overbought area
Background turns GREEN in oversold area
Provides fast and clean recognition of reversal zones
🎯 Best Uses
Identifying low-risk reversal entry zones
Avoiding entries against strong trends
Confirming momentum and sentiment alignment
Useful for scalping, day-trading, and swing-trading strategies
💡 Tip
For higher precision, combine this indicator with:
🔹 Support/Resistance Levels
🔹 Candlestick Reversal Patterns
🔹 Volume Spikes or Breakout Tools
3 Lines RCI + Psy Signal + RSI Background📌 3 Lines RCI + Psy Signal + RSI Background
This indicator combines three RCI lines, Psychological Line signals, RSI-based background highlights, and ADX strength detection to visualize market momentum, trend strength, and potential reversal zones.
🔍 Main Features
📌 1. Triple RCI (Rank Correlation Index)
Displays Short / Mid / Long RCI
Detects momentum shifts and trend reversals
Highlight zones:
Overbought: +80 ~ +100 (Red Zone)
Oversold: -80 ~ -100 (Green Zone)
📌 2. Psychological Line Signal
Column bars appear only in extreme conditions:
Overbought → Red Bars
Oversold → Green Bars
Helps detect short-term sentiment extremes
📌 3. RSI Background Highlight
Red Background: RSI > Overbought threshold
Green Background: RSI < Oversold threshold
Provides a visual cue of underlying market pressure.
📌 4. ADX Trend Strength
ADX line color shows strength level:
Blue: Weak trend
Yellow: Moderate trend
Red: Strong trend
Useful to identify whether signals occur in a trend or range state.
🎯 Trading Usage Tips
RCI + RSI + Psy confluence can identify strong reversal timing.
Use signals only when ADX is weak or moderate to avoid counter-trading a strong trend.
Combine short/mid RCI crossovers with extreme zones for potential entry timing.
⚙️ Suitable For
Scalping, day trading, swing trading
Stocks, Forex, Crypto, Indices, Commodities
ULTRA PLATINUM V51. LONG (BUY) SETUP
When to Enter:
Signal: Wait for a Blue "AL" Label to appear below the candle.
Bar Color: The candle body should turn Green (indicating a strong bullish trend).
Panel Confirmation (Right Corner):
Squeeze Momentum: Should show "MOMENTUM LONG" (Green).
Market Type: Should say "TREND VAR" (Green). If it says "YATAY (RISKLI)" or "CHOPPY", it is better to wait.
EMA Safety: Should say "GÜVENLİ" (Safe).
Action:
Open a Long position at the close of the signal candle.
Stop Loss: Set your SL to the price shown in the Panel under "STOP LOSS".
Take Profit: Set your targets to the prices shown under "KAR AL 1" (TP1) and "KAR AL 2" (TP2).
2. SHORT (SELL) SETUP
When to Enter:
Signal: Wait for an Orange "SAT" Label to appear above the candle.
Bar Color: The candle body should turn Red (indicating a strong bearish trend).
Panel Confirmation:
Squeeze Momentum: Should show "MOMENTUM SHORT" (Red).
Market Type: Should say "TREND VAR".
EMA Safety: Should say "GÜVENLİ".
Action:
Open a Short position at the close of the signal candle.
Stop Loss: Set your SL to the price shown in the Panel under "STOP LOSS".
Take Profit: Use the TP1 and TP2 levels from the Panel.
3. RE-ENTRY STRATEGY (Scaling In)
This feature allows you to increase your position size if the trend continues.
Long Re-Entry: Look for a small Green Triangle below the bar. This means the price pulled back slightly and is now pushing up again (RSI crossover). You can add to your Long position here.
Short Re-Entry: Look for a small Red Triangle above the bar. You can add to your Short position here.
4. CRITICAL WARNINGS (When NOT to Trade)
Gray Candles: If the candles are Gray, the market is indecisive. Avoid entering new positions even if you see a signal.
Squeeze Mode: If the Panel says "SIKIŞMA VAR (BEKLE)" (Squeeze On), it means volatility is very low. A big move is coming, but the direction is uncertain. Wait until the squeeze breaks and the panel changes to Momentum Long or Short.
High Risk: If the panel says "ÇOK YAKIN (RİSK)" regarding the EMA, the price is too close to the 200 EMA. This often acts as a magnet or a wall; proceed with caution.
Omni-Divergence Pro [Hodldean]Omni-Divergence Pro
Most traders rely on a single indicator (like RSI or MACD) to make decisions. The problem? Single indicators are noisy, prone to false signals, and fail in changing market conditions.
Omni-Divergence Pro is different. It does not rely on one data point. Instead, it deploys a Consensus Engine—an underlying algorithm that aggregates 11 professional-grade market models into a single "Vote."
Only when the Price Action structurally disagrees with this Mathematical Consensus do you get a signal.
How It Works: The 3-Layer Filter
This script is designed to filter out 90% of market noise and only present high-probability setups using a proprietary 3-step validation process:
1. The Consensus Engine (11-Factor Model) Instead of just looking at momentum, we calculate a normalized score based on 11 distinct market dimensions, ranging from standard trend followers to advanced Digital Signal Processing (DSP):
Trend: Hull MA (HMA), Kaufman Adaptive MA (KAMA), Ichimoku Cloud.
Momentum: Smoothed RSI, Stochastic RSI, Donchian Channels.
Advanced DSP: Ehlers Super Smoother, Ehlers Fisher Transform, Ehlers Cyber Cycle.
Next-Gen Filters: Laguerre Filter, ALMA (Arnaud Legoux / JMA Proxy).
2. Structural Divergence (The Trigger) We do not look for simple "oversold" levels. We look for Structural Disagreement.
Bullish Signal: Price makes a Lower Low, but the Consensus of 11 indicators makes a Higher Low. The underlying data is screaming "Strength" while price is still dropping.
Bearish Signal: Price makes a Higher High, but the Consensus fails to confirm it.
3. The Volume Veto (The Confirmation) A divergence without volume is a trap. This system includes an integrated RVOL (Relative Volume) Filter.
If a signal forms on low volume (weekend/lunch hour), it is rejected.
Signals are only valid if Institutional Volume supports the move.
Features at a Glance
Clean Charts: No messy lines or oscillators. You only see "BUY" and "SELL" labels when a validated signal occurs.
Dual-Mode Detection:
Regular Divergence: For catching tops and bottoms (Reversals).
Hidden Divergence: For entering pullbacks in a strong trend (Trend Continuation).
Zero Repainting Logic: Signals are generated based on strict pivot confirmation. Once a signal is printed and the candle closes, it never disappears.
Technical Specifications
Confirmation Lag: This system prioritizes accuracy over speed. Signals appear upon the confirmation of a Pivot High/Low (default: 5 bars).
Visual Offset: Labels are plotted in the past (offset) to pinpoint exactly where the structural top/bottom occurred, providing clear context for stop-loss placement.
Best Timeframes: Optimized for 15m, 1H, 4H, and Daily charts. (For higher timeframes like 4H/Daily, consider lowering the Lookback setting to 3).
⛔ ACCESS & PRICING
This is an Invite-Only script. To protect the proprietary "Consensus Engine" logic, the source code is hidden.
Trading involves risk. This tool is designed to assist in analysis, not to guarantee profits. Past performance is not indicative of future results.
ChronoPulse MS-MACD Resonance StrategyChronoPulse MS-MACD Resonance Strategy
A systematic trading strategy that combines higher-timeframe market structure analysis with dual MACD momentum confirmation, ATR-based risk management, and real-time quality assurance monitoring.
Core Principles
The strategy operates on the principle of multi-timeframe confluence, requiring agreement between:
Market structure breaks (CHOCH/BOS) on a higher timeframe
Dual MACD momentum confirmation (classic and crypto-tuned profiles)
Trend alignment via directional EMAs
Volatility and volume filters
Quality score composite threshold
Strategy Components
Market Structure Engine : Detects Break of Structure (BOS) and Change of Character (CHOCH) events using confirmed pivots on a configurable higher timeframe. Default structure timeframe is 240 minutes (4H).
Dual MACD Fusion : Requires agreement between two MACD configurations:
Classic MACD: 12/26/9 (default)
Fusion MACD: 8/21/5 (default, optimized for crypto volatility)
Both must agree on direction before trade execution. This can be disabled to use single MACD confirmation.
Trend Alignment : Uses two EMAs for directional bias:
Directional EMA: 55 periods (default)
Execution Trend Guide: 34 periods (default)
Both must align with trade direction.
ATR Risk Management : All risk parameters are expressed in ATR multiples:
Stop Loss: 1.5 × ATR (default)
Take Profit: 3.0 × ATR (default)
Trail Activation: 1.0 × ATR profit required (default)
Trail Distance: 1.5 × ATR behind price (default)
Volume Surge Filter : Optional gate requiring current volume to exceed a multiple of the volume SMA. Default threshold is 1.4× the 20-period volume SMA.
Quality Score Gate : Composite score (0-1) combining:
Structure alignment (0.0-1.0)
Momentum strength (0.0-1.0)
Trend alignment (0.0-1.0)
ATR volatility score (0.0-1.0)
Volume intensity (0.0-1.0)
Default threshold: 0.62. Trades only execute when quality score exceeds this threshold.
Execution Discipline : Trade budgeting system:
Maximum trades per session: 6 (default)
Cooldown bars between entries: 5 (default)
Quality Assurance Console : Real-time monitoring panel displaying:
Structure status (pass/fail)
Momentum confirmation (pass/fail)
Volatility readiness (pass/fail)
Quality score (pass/fail)
Discipline compliance (pass/fail)
Performance metrics (win rate, profit factor)
Net PnL
Certification requires: Win Rate ≥ 40%, Profit Factor ≥ 1.4, Minimum 25 closed trades, and positive net profit.
Integrity Suite : Optional validation panel that audits:
Configuration sanity checks
ATR data readiness
EMA hierarchy validity
Performance realism checks
Strategy Settings
strategy(
title="ChronoPulse MS-MACD Resonance Strategy",
shorttitle="ChronPulse",
overlay=true,
max_labels_count=500,
max_lines_count=500,
initial_capital=100000,
currency=currency.USD,
pyramiding=0,
commission_type=strategy.commission.percent,
commission_value=0.015,
slippage=2,
default_qty_type=strategy.percent_of_equity,
default_qty_value=2.0,
calc_on_order_fills=true,
calc_on_every_tick=true,
process_orders_on_close=true
)
Key Input Parameters
Structure Timeframe : 240 (4H) - Higher timeframe for structure analysis
Structure Pivot Left/Right : 3/3 - Pivot confirmation periods
Structure Break Buffer : 0.15% - Buffer for structure break confirmation
MACD Fast/Slow/Signal : 12/26/9 - Classic MACD parameters
Fusion MACD Fast/Slow/Signal : 8/21/5 - Crypto-tuned MACD parameters
Directional EMA Length : 55 - Primary trend filter
Execution Trend Guide : 34 - Secondary trend filter
ATR Length : 14 - ATR calculation period
ATR Stop Multiplier : 1.5 - Stop loss in ATR units
ATR Target Multiplier : 3.0 - Take profit in ATR units
Trail Activation : 1.0 ATR - Profit required before trailing
Trail Distance : 1.5 ATR - Distance behind price
Volume Threshold : 1.4× - Volume surge multiplier
Quality Threshold : 0.62 - Minimum quality score (0-1)
Max Trades Per Session : 6 - Daily trade limit
Cooldown Bars : 5 - Bars between entries
Win-Rate Target : 40% - Minimum for QA certification
Profit Factor Target : 1.4 - Minimum for QA certification
Minimum Trades for QA : 25 - Required closed trades
Signal Generation Logic
A trade signal is generated when ALL of the following conditions are met:
Higher timeframe structure shows bullish (CHOCH/BOS) or bearish structure break
Both MACD profiles agree on direction (if fusion enabled)
Price is above both EMAs for longs (below for shorts)
ATR data is ready and above minimum threshold
Volume exceeds threshold × SMA (if volume gate enabled)
Quality score ≥ quality threshold
Trade budget available (under max trades per day)
Cooldown period satisfied
Risk Management
Stop loss and take profit are set immediately on entry
Trailing stop activates after 1.0 ATR of profit
Trailing stop maintains 1.5 ATR distance behind highest profit point
Position sizing uses 2% of equity per trade (default)
No pyramiding (single position per direction)
Limitations and Considerations
The strategy requires sufficient historical data for higher timeframe structure analysis
Quality gate may filter out many potential trades, reducing trade frequency
Performance metrics are based on historical backtesting and do not guarantee future results
Commission and slippage assumptions (0.015% + 2 ticks) may vary by broker
The strategy is optimized for trending markets with clear structure breaks
Choppy or ranging markets may produce false signals
Crypto markets may require different parameter tuning than traditional assets
Optimization Notes
The strategy includes several parameters that can be tuned for different market conditions:
Quality Threshold : Lower values (0.50-0.60) allow more trades but may reduce average quality. Higher values (0.70+) are more selective but may miss opportunities.
Structure Timeframe : Use 240 (4H) for intraday trading, Daily for swing trading, Weekly for position trading
Volume Gate : Disable for low-liquidity pairs or when volume data is unreliable
Dual MACD Fusion : Disable for mean-reverting markets where single MACD may be more responsive
Trade Discipline : Adjust max trades and cooldown based on your risk tolerance and market volatility
Non-Repainting Guarantee
All higher timeframe data requests use lookahead=barmerge.lookahead_off to prevent repainting. Pivot detection waits for full confirmation before registering structure breaks. All visual elements (tables, labels) update only on closed bars.
Alerts
Three alert conditions are available:
ChronoPulse Long Setup : Fires when all long entry conditions are met
ChronoPulse Short Setup : Fires when all short entry conditions are met
ChronoPulse QA Certification : Fires when Quality Assurance console reaches CERTIFIED status
Configure alerts with "Once Per Bar Close" delivery to match the non-repainting design.
Visual Elements
Structure Labels : CHOCH↑, CHOCH↓, BOS↑, BOS↓ markers on structure breaks
Directional EMA : Orange line showing trend bias
Trailing Stop Lines : Green (long) and red (short) trailing stop levels
Dashboard Panel : Real-time status display (structure, MACD, ATR, quality, PnL)
QA Console : Quality assurance monitoring panel
Integrity Suite Panel : Optional validation status display
Recommended Usage
Forward test with paper trading before live deployment
Monitor the QA console until it reaches CERTIFIED status
Adjust parameters based on your specific market and timeframe
Respect the trade discipline limits to avoid over-trading
Review quality scores and adjust threshold if needed
Use appropriate commission and slippage settings for your broker
Technical Implementation
The strategy uses Pine Script v6 with the following key features:
Multi-timeframe data requests with lookahead protection
Confirmed pivot detection for structure analysis
Dynamic trailing stop management
Real-time quality score calculation
Trade budgeting and cooldown enforcement
Comprehensive dashboard and monitoring panels
All source code is open and available for review and modification.
Disclaimer
This script is for educational and informational purposes only. It is not intended as financial, investment, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any losses incurred from using this strategy.
VWAP From Pivots Lows and Highs
This script starts automatically VWAP from pivot lows and highs.
Parameter allows you to enable up to 3 VWAP (default).
If you use 3, the VWAP from the last three pivots point will be drawn.
If you use 1, just the last pivot point will be used.
You can also just enable VWAPs starting from pivot lows or highs.
Let me know if there are any problems.
VWolf – Slope GuardOVERVIEW
Slope Guard combines a momentum core (WaveTrend + RSI/MFI + QQE family) with a directional bias (EMA/DEMA and a DEMA-slope filter). Trade direction can be constrained by the Supertrend regime (Normal or Pivot). Risk is managed with ATR-based stops and targets, optional Supertrend-anchored dynamic levels, and a two-stage take-profit that can shift the stop to break-even after the first partial. The strategy supports explicit Backtest and Forward-test windows and adapts certain thresholds by market type (Forex vs. Stocks).
RECOMMENDED USE
Markets: Forex and equities; use Market Type to properly scale the DEMA-slope gate.
Timeframes: M15–H4 for intraday-swing and H1–D1 for slower swing; avoid ultra-low TFs without tightening ADX/QQE.
Assets: Instruments with persistent trends and orderly pullbacks; avoid flat ranges without sufficient ADX.
Strengths
Multi-layer confluence: trend bias + momentum + regime + strength.
Flexible risk engine: ATR vs. Supertrend anchoring, staged exits, and automatic break-even.
Clean research workflow: separated Backtest and Forward-test windows.
Precautions
Structural latency: Pivot-based constructs confirm with delay; validate with Forward-test.
Filter interaction: QQE Strict + ADX + WT zero-line can become overly selective; calibrate by asset/TF.
Overfitting risk: Prefer simple, portable parameter sets and validate across symbols/TFs.
CONCLUSION
Slope Guard is a “trend + momentum” framework with risk control at its core. By enforcing a baseline bias, validating momentum with the Vuman composite, and offering ATR or Supertrend-anchored exits—plus staged profits and break-even shifts—it seeks to capture the core of directional swings while compressing drawdowns. Keep testing windows isolated, start with moderate filters (QQE Normal, ADX ~20–25), and only add stricter gates (WT zero-line, DEMA slope) once they demonstrably improve stability without starving signals.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Shadow PulseOVERVIEW
The Trend Momentum Breakout Strategy is a rule-based trading system designed to identify high-probability entries in trending markets using a combination of trend confirmation, momentum filtering, and precise trigger conditions. The strategy is suitable for intermediate to advanced traders who prefer mechanical systems with clear entry/exit logic and configurable risk management options.
At its core, this strategy seeks to enter pullbacks within strong trends, capitalizing on momentum continuation after brief pauses in price movement. By integrating multiple moving averages (MAs) for trend validation, ADX (Average Directional Index) as a strength filter, and Stochastic RSI as an entry trigger, the strategy filters out weak trends and avoids overextended market conditions. Exit logic is based on a customizable fixed stop-loss (SL) and take-profit (TP) framework, with optional dynamic risk-reduction mechanisms powered by the Supertrend indicator.
This strategy is designed to perform best in clearly trending markets and is especially effective in avoiding false breakouts or choppy sideways action thanks to its ADX-based filtering. It can be deployed across a variety of asset classes, including forex, stocks, cryptocurrencies, and indices, and is optimized for intra-day to swing trading timeframes.
RECOMMENDED USE
This strategy is designed to be flexible across multiple markets, but it performs best under certain conditions:
Best Suited For:
Trending markets with clear directional momentum.
High-volume instruments that avoid erratic price action.
Assets with intraday volatility and swing patterns.
Recommended Asset Classes:
Forex pairs (e.g., EUR/USD, GBP/JPY)
Cryptocurrencies (e.g., BTC/USD, ETH/USDT)
Major indices (e.g., S&P 500, NASDAQ, DAX)
Large-cap stocks (especially those with consistent liquidity)
Suggested Timeframes:
15-minute to 1-hour charts for intraday setups.
4-hour and daily charts for swing trading.
Lower timeframes (1–5 min) may generate too much noise unless fine-tuned.
Market Conditions to Avoid:
Ranging or sideways markets with low ADX values.
Assets with irregular price structures or low liquidity.
News-heavy periods with unpredictable price spikes.
CONCLUSION
This strategy stands out for its robust and modular approach to trend-following trading, offering a high level of customization while maintaining clear logic and structural discipline in entries and exits. By combining three distinct layers of confirmation—trend identification (via configurable moving averages), trend strength validation (via the DMI filter), and timing (via the Stochastic RSI trigger)—it aims to reduce noise and increase the probability of entering trades with directional bias and momentum on its side.
Its flexibility is one of its strongest points: users can tailor the strategy to fit various trading styles and market conditions. Whether the trader prefers conservative setups using only the slowest moving average, or more aggressive entries requiring full alignment of fast, medium, and slow MAs, the system adjusts accordingly. Likewise, exit management offers both static and dynamic methods—such as ATR-based stop losses, Supertrend-based adaptive exits, and partial profit-taking mechanisms—allowing risk to be managed with precision.
This makes the strategy particularly suitable for trend-driven markets, such as major currency pairs, indices, or volatile stocks that demonstrate clear directional moves. It is not ideal for sideways or choppy markets, where multiple filters may reduce the number of trades or result in whipsaws.
From a practical standpoint, the strategy also incorporates real-world trading mechanics, like time-based filters and account risk control, which elevate it from a purely theoretical model to a more execution-ready system.
In summary, this is a well-structured, modular trend strategy ideal for intermediate to advanced traders who want to maintain control over their system parameters while still benefiting from layered signal confirmation. With proper calibration, it has the potential to become a reliable tool in any trader’s arsenal—particularly in markets where trends emerge clearly and sustainably.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Raptor ClawOVERVIEW
The 'VWolf - Raptor Claw' is a straightforward scalping strategy designed for high-frequency trades based on the Stochastic RSI indicator. It focuses exclusively on identifying potential trend reversals through stochastic cross signals in extreme zones, without the need for additional confirmations. This makes it highly responsive to market movements, capturing rapid price shifts while maintaining simplicity.
This strategy is best suited for highly liquid and volatile markets like forex, indices, and major cryptocurrencies, where quick momentum shifts are common. It is ideal for experienced scalpers who prioritize fast entries and exits, but it can also be adapted for swing trading in lower timeframes.
Entry Conditions:
Long Entry:Stochastic RSI crosses above the oversold threshold (typically 20), indicating a potential bullish reversal.
Short Entry:Stochastic RSI crosses below the overbought threshold (typically 80), indicating a potential bearish reversal.
Exit Conditions:
Stop Loss: Set at the minimum (for longs) or maximum (for shorts) within a configurable lookback window to reduce risk.
Take Profit: Defined by a risk-reward ratio (RRR) input to optimize potential gains relative to risk.
CONCLUSION
The 'VWolf - Raptor Claw' strategy is perfect for traders seeking a simple yet aggressive approach to the markets. It capitalizes on sharp momentum shifts in extreme zones, relying on precise stop loss and take profit settings to capture rapid profits while minimizing risk. This approach is highly effective in high-volatility environments where quick decision-making is essential.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Quantum DriftOVERVIEW
The Quantum Drift strategy is a sophisticated, highly customizable trading approach designed to identify market entries and exits by leveraging multiple technical indicators. The strategy uniquely combines the Dynamic Exponential Moving Average (DEMA), QQE indicators, Volume Oscillator, and Hull Moving Average (HULL), enabling precise detection of trend direction, momentum shifts, and volatility adjustments. It stands out due to its adaptability across different market conditions by allowing significant user customization through various input parameters.
RECOMMENDED USE
Markets: Ideal for Forex and Stocks due to the strategy's volatility-sensitive and trend-following nature.
Timeframes: Best suited for medium to higher timeframes (15m, 1H, 4H), where clearer trend signals and less noise occur, enhancing strategy reliability.
CONCLUSION
The Quantum Drift strategy is tailored for intermediate to advanced traders seeking a versatile and adaptive system. Its strength lies in combining momentum, volatility, and trend-following components, providing robust entry and exit signals. However, its effectiveness relies significantly on accurate parameter tuning by traders familiar with the underlying indicators and market behavior.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf – Pivot VumanSkewOVERVIEW
This strategy blends a lightweight trend scaffold (EMA/DEMA) with a skew-of-volatility filter and VuManchu/WaveTrend momentum signals. It’s designed to participate only when trending structure, momentum alignment, and volatility asymmetry converge, while delegating execution management to either a standard SuperTrend or a Pivot-based SuperTrend. Position sizing is risk‑based, with optional two‑step profit taking and automatic stop movement once price confirms in favor.
RECOMMENDED USE
Markets: Designed for Forex and equities, and readily adaptable to indices or liquid futures.
Timeframes: Performs best from 15m to 4h where momentum and trend layers both matter; daily can be used for confirmation/context.
Conditions: Trending or range‑expansion phases with clear volatility asymmetry. Avoid extremely compressed sessions unless thresholds are relaxed.
Strengths
Multi‑layer confluence (trend + skew + momentum) reduces random signals.
Dual SuperTrend modes provide flexible trailing and regime control.
Built‑in hygiene (ADX/DMI, lockout after loss, ATR gap) curbs over‑trading.
Risk‑% sizing and two‑step exits support consistent, plan‑driven execution.
Precautions
Over‑tight thresholds can lead to missed opportunities; start from defaults and tune gradually.
High sensitivity in momentum settings may overfit to a single instrument/timeframe.
In very low volatility, ATR‑gap or skew filters may block entries—consider adaptive thresholds.
CONCLUSION
VWolf – Pivot VumanSkew is a disciplined trend‑participation strategy that waits for directional structure, volatility asymmetry, and synchronized momentum before acting. Its execution layer—selectable between Normal and Pivot SuperTrend—keeps management pragmatic: scale out early when appropriate, trail intelligently, and defend capital with volatility‑aware stops. For users building a diversified playbook, Pivot VumanSkew serves as a trend‑continuation workhorse that can be tightened for precision or relaxed for higher participation depending on the market’s rhythm.
VWolf – Momentum TwinOVERVIEW
VWolf – Momentum Twin is designed to identify high-probability momentum reversals emerging from overbought or oversold market conditions. It employs a double confirmation from the Stochastic RSI oscillator, optionally filtered by trend and directional movement conditions, before executing trades.
The strategy emphasizes consistent risk management by scaling stop-loss and take-profit targets according to market volatility (ATR), and it provides advanced position management features such as partial profit-taking and automated stop-loss adjustments.
RECOMMENDED USE
Markets: Major FX pairs, index futures, large-cap stocks, and top-volume cryptocurrencies.
Timeframes: Best suited for M15–H4; adaptable for swing trading on daily charts.
Trader Profile: Traders who value structured, volatility-adjusted momentum reversal setups.
Strengths:
Double confirmation filters out many false signals.
Multiple filter options allow strategic flexibility.
ATR scaling maintains consistent risk across assets.
Trade management tools improve adaptability in dynamic markets.
Precautions:
May produce fewer trades in strong one-direction trends.
Over-filtering can reduce trade frequency.
Requires validation across instruments and timeframes before deployment.
CONCLUSION
The VWolf – Momentum Twin offers a disciplined framework for capturing momentum reversals while preserving flexibility through its customizable filters and risk controls. Its double confirmation logic filters out a significant portion of false reversals, while ATR-based scaling ensures consistency across varying market conditions. The optional trade management features, including partial profit-taking and automatic stop adjustments, allow the strategy to adapt to both trending and ranging environments. This makes it a versatile tool for traders who value structured entries, robust risk control, and adaptable management in a variety of markets and timeframes.
VWolf – Hull VectorOVERVIEW
VWolf – Hull Vector is a momentum-driven trend strategy centered on the Hull Moving Average (HMA) angle. It layers optional confirmations from EMA/DEMA alignment, DMI/ADX strength, and Supertrend triggers to filter lower-quality entries and improve trade quality.
Risk is controlled through capital-based position sizing, ATR-anchored stops and targets, and dynamic trade management (partial exits and stop movement). The strategy supports Backtest and Forwardtest modes with configurable date ranges, and a market profile toggle (Forex vs. Stocks) to adjust internal scaling for price behavior.
RECOMMENDED USE
Markets: Major Forex pairs, index CFDs/futures, and liquid stocks with clean trend legs.
Styles: Intraday and swing applications where momentum continuation is common.
Volatility Regimes: Performs best in trending or expanding-volatility environments; consider tightening thresholds in choppy phases.
Workflow Tips:Start with HMA angle + ST trigger only; then layer DEMA and DMI/ADX if you need more selectivity.
Use Forwardtest dates to simulate out-of-sample performance after tuning Backtest parameters.
Re-evaluate angle thresholds when switching between Forex and Stocks modes.
Strengths
Clear momentum core (HMA angle) with optional, orthogonal filters (trend alignment, strength, trigger).
Robust risk tooling: ATR/ST stops, two-step profits, and capital-based sizing.
Testing discipline: Native Backtest/Forwardtest scoping supports walk-forward validation.
Broad portability: Works across instruments thanks to market-aware scaling.
Precautions
Over-filtering risk: Enabling all gates simultaneously may under-trade; calibrate selectivity to your timeframe.
Sideways markets: Expect more whipsaws when slope hovers near zero; raise angle threshold or rely more on ADX gating.
Overfitting hazard: Tune on one regime, then verify with Forwardtest windows and alternative markets/timeframes.
VWolf – Hulk StrikeOVERVIEW
VWolf – Hullk Strike is a dynamic trend-following strategy designed to capture pullbacks within established moves. It combines a configurable Moving Average (HULL, EMA, SMA, or DEMA) trend filter with DMI/ADX confirmation and a Stochastic RSI timing trigger. Risk is managed through ATR- or Supertrend-based stops, optional partial profit-taking, and automatic stop adjustments. The strategy aims to rejoin momentum after controlled retracements while maintaining consistent, quantified risk
RECOMMENDED USE
Markets: Liquid indices, major FX pairs, large-cap equities, high-liquidity crypto pairs.
Timeframes: M15 to D1 (stricter filters for lower timeframes, looser for higher).
Profiles: Traders seeking structured trend participation with systematic timing.
Strengths
Highly flexible trend engine adaptable to multiple markets.
Dual confirmation reduces false signals during pullbacks.
Risk-first design with multiple stop models and partial exits.
Precautions
Over-filtering may reduce trade frequency and miss fast continuations.
Under-filtering may increase whipsaw risk in choppy markets.
Backtest vs forward-test differences if date/session filters are inconsistent.
CONCLUSION
VWolf – Hullk Strike is designed to capture the “second leg” of a trend after a controlled retracement. With configurable MA strictness, DMI/ADX strength filters, and precise Stoch RSI timing, it enhances selectivity while keeping responsiveness. Its stop/target framework—anchored stops, proportional targets, partial exits, and dynamic stop moves—offers disciplined risk control and upside preservation.
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