ADX + DI Trend Gate PROADX + DI Trend Gate PRO is a trend filter and signal tool built around DMI (DI+ / DI-) and ADX. It helps you avoid choppy conditions by requiring real trend strength and DI separation before allowing signals.
Key features:
AUTO presets for 5m / 15m (optimized for fast intraday use)
Optional MTF confirmation (5m → 15m, 15m → 1H)
Adaptive DI Gap (volatility-based adjustment using ATR/Close)
Confirm on bar close option (no repaint mode)
Signal modes: DI Cross (classic) or Gate Flip (more responsive)
Optional filters: ATR volatility filter and Volume filter
Exit signals when trend weakens (ADX weakening / DI convergence / DI flip)
Info panel with active parameters, AUTO vs MANUAL, MTF diff, and adjustable panel font size
How to use (practical):
For cleaner signals, keep AUTO presets ON and enable Confirm on bar close.
For stricter filtering, enable MTF confirmation and/or Require ADX rising.
Volume filter is best on instruments with meaningful volume; on Forex (tick volume) it’s often better OFF.
Disclaimer : This indicator is a trend filter and timing tool, not financial advice. Always backtest and use proper risk management.
Multitimeframe
Neural Trend Engine [JOAT]Neural Trend Engine - Multi-Layer Adaptive Trend Detection
Neural Trend Engine uses a multi-layer filtering approach inspired by neural network concepts. It combines multiple adaptive moving averages with proprietary momentum and volatility weighting to generate trend signals with reduced lag and improved confidence scoring.
Why This Script is Protected
This script is published as closed-source to protect the proprietary signal composition algorithm and the specific weighting methodology from unauthorized republishing. The unique combination of adaptive layer calculations, momentum normalization, and volatility integration represents original work that goes beyond standard indicator implementations.
What Makes This Indicator Unique
Unlike simple moving average crossover systems, Neural Trend Engine:
Uses three Kaufman Adaptive Moving Averages (KAMA) that automatically adjust their smoothing based on market efficiency
Combines layer alignment, momentum, and volatility into a single "neural signal"
Provides signal strength percentages so you know the conviction level of each signal
Creates a visual trend cloud that makes direction immediately obvious
What This Indicator Does
Plots three adaptive moving average "layers" that respond dynamically to market efficiency
Creates a trend cloud between fast and slow layers for visual trend identification
Generates weighted composite signals from layer alignment, momentum, and volatility
Displays buy/sell labels with signal strength percentages
Provides a comprehensive dashboard with multi-component breakdown
Colors the neural line and cloud based on current trend direction
Core Methodology
The indicator employs a three-layer adaptive system where each layer responds to market conditions at different speeds:
Fast Layer (default: 8) — Quick response for short-term direction changes
Medium Layer (default: 21) — Intermediate trend reference
Slow Layer (default: 55) — Long-term trend anchor
Each layer uses efficiency-based adaptation, meaning they become more responsive during trending conditions and smoother during choppy markets.
The neural signal is a proprietary composite that weighs three distinct market components:
Momentum Component (default: 40%) — Measures directional price velocity, normalized to its recent range
Trend Component (default: 35%) — Evaluates alignment between the three adaptive layers
Volatility Component (default: 25%) — Incorporates market volatility state into signal generation
These components are combined using a weighted formula that has been calibrated to balance responsiveness with noise reduction.
Signal Generation
Direction changes occur when the smoothed neural signal crosses a configurable strength threshold:
Bullish — Signal exceeds positive threshold with layer alignment confirmation
Bearish — Signal drops below negative threshold with layer alignment confirmation
Neutral — Signal remains within threshold range, indicating consolidation
Signal strength percentages indicate the conviction level of each signal, helping traders assess trade quality. Higher percentages suggest stronger trend conviction.
Visual Features
Trend Cloud — Filled area between fast and slow layers, colored by trend direction
Neural Line with Glow — Weighted average of all three layers with glow effect
Medium Layer — Subtle white line showing intermediate trend
Signal Labels — BUY/SELL labels with strength percentages at signal points
Small Markers — Alternative triangle markers when labels are disabled
Color Scheme
Bullish Color — Default: #26A69A (teal green) — Used for bullish trends and signals
Bearish Color — Default: #EF5350 (red) — Used for bearish trends and signals
Cloud Fill — 85% transparent version of trend color
Neural Line Glow — 60% transparent version for glow effect
Dashboard Information
The on-chart table (top-right corner) displays:
Current direction (BULLISH, BEARISH, or NEUTRAL)
Neural signal percentage
Layer alignment status (ALIGNED UP, ALIGNED DOWN, or MIXED)
Momentum direction and percentage
Trend strength percentage
Inputs Overview
Neural Layers:
Fast Layer — Period for fast adaptive MA (default: 8, range: 2-50)
Medium Layer — Period for medium adaptive MA (default: 21, range: 5-100)
Slow Layer — Period for slow adaptive MA (default: 55, range: 10-200)
Source — Price source for calculations (default: close)
Sensitivity:
Momentum Weight — Weight for momentum component (default: 0.4)
Trend Weight — Weight for trend/layer alignment (default: 0.35)
Volatility Weight — Weight for volatility component (default: 0.25)
ATR Period — Period for volatility calculations (default: 14)
Visual Settings:
Bullish/Bearish Colors — Customizable color scheme
Show Trend Cloud — Toggle the filled cloud area
Show Signal Labels — Toggle BUY/SELL labels with percentages
Show Neural Line — Toggle the main trend line
Show Dashboard — Toggle the information table
Alerts:
Await Bar Confirmation — Wait for bar close before triggering (recommended)
Min Signal Strength — Threshold for direction changes (default: 0.3 = 30%)
How to Use It
For Trend Following:
Follow the trend cloud color for overall market direction
Enter long when cloud turns bullish (teal) and signal strength is high
Enter short when cloud turns bearish (red) and signal strength is high
Use the neural line as a trailing stop reference
For Signal Trading:
Wait for BUY/SELL labels to appear
Check the signal strength percentage—higher is better
Confirm with dashboard showing aligned layers
Avoid signals during MIXED layer alignment
For Confirmation:
Use Neural Trend Engine to confirm signals from other systems
Strong confirmation when all three layers are aligned
Dashboard shows momentum and trend strength for additional context
Alerts Available
NTE Buy Signal — Bullish direction change detected
NTE Sell Signal — Bearish direction change detected
NTE Direction Change — Any trend direction change
Best Practices
Higher signal strength percentages indicate more reliable signals
Wait for layer alignment (shown in dashboard) before entering trades
Use on higher timeframes for more reliable trend identification
Combine with support/resistance levels for entry timing
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
Scooby SpecialThis indicator detects bullish and bearish divergences between price and 5-period RSI using confirmed pivot points. Signals only trigger below RSI 40 for bullish setups and above RSI 60 for bearish setups.
Matrix Momentum OscillatorThe Matrix Momentum Oscillator is a sophisticated momentum indicator created by MatrixAlgo that combines trend analysis with oscillator dynamics to provide comprehensive market insights. This professional-grade tool transforms complex price action into clear, actionable signals.
Key Features:
Multiple Trend Algorithms - Choose between EMA, SMA, HMA, or RMA to match your trading preference and market conditions
Dynamic Volatility Bands - Bullish and bearish zones automatically adjust based on market volatility, highlighting extreme conditions
Dual-Line System - Main oscillator line paired with a signal line generates precise crossover opportunities
Visual Histogram - Color-coded bars show the momentum strength and direction at a glance
Smart Signal Filters - Optional volume and RSI filters help eliminate false signals and improve accuracy
Real-Time Dashboard - Live info panel displays current trend direction, oscillator value, and signal status
Extreme Zone Detection - Background highlighting alerts you when the oscillator reaches extreme bullish or bearish levels
Comprehensive Alert System - Notifications for buy/sell signals and extreme zone entries
Fully Customizable - Adjust colors, lengths, multipliers, and filters to create your perfect setup
SigmaPulse NavigatorThe **zSigma Pulse Navigator** is a comprehensive, "Regime-Based" algorithmic trading tool designed for TradingView. Unlike standard technical indicators that generate continuous buy or sell signals regardless of market conditions, the zSigma Pulse functions primarily as a **market filter**. It first mathematically classifies the market environment as either "Efficient" (Trending) or "Inefficient" (Choppy) and only unlocks specific trading signals that are statistically valid for that specific state.
It is constructed from three distinct computational "engines" that work in unison to eliminate false signals:
### 1. The Regime Engine (The Filter)
The foundation of the zSigma Pulse is the **Choppiness Index (CI)**. The algorithm uses this to quantify the "Fractal Dimension" of price action.
* **Trend Mode (Green/Red Background):** If the Chop Index falls below a specific threshold (default 50), the system declares a Trend. The chart background lights up Green (Bullish) or Red (Bearish), permitting breakout strategies.
* **Chop Mode (Grey Background):** If the Chop Index rises above the threshold, the background turns Grey. This signals consolidation, warning the trader to ignore breakout signals and focus on mean reversion.
### 2. The Consensus Engine (The Vote)
To determine momentum direction, the indicator employs a proprietary "Voting System" that aggregates three independent indicators: **ADX** (Trend Strength), **RSI** (Momentum), and **SuperTrend** (Price Action).
* **The "2-out-of-3" Rule:** A directional signal (e.g., a Green Cloud) is only generated if at least **two** of these three engines agree. This consensus mechanism filters out "fake-outs" where price might move (SuperTrend) but lacks the internal energy (ADX) to sustain the move.
### 3. The Volatility Engine (The Cloud)
The tool visualises volatility through a **Dynamic Range**—a shaded cloud that expands and contracts based on market noise.
* It typically uses **Bollinger Bands** (based on Standard Deviation) or **Keltner Channels** (based on ATR).
* **In Trends:** The cloud expands, and the bottom of the cloud acts as a dynamic trailing stop.
* **In Chop:** The cloud contracts, creating a visual channel where traders can "buy the dip" (Diamond signals) at the bottom of the range.
### Key Features and Defaults
* **Institutional Tuning:** The indicator is hardcoded with "smart" defaults rather than standard retail settings. For example, it utilizes an **EMA 27** (a Fibonacci-adjacent number) rather than the standard 20 or 50 Moving Average, designed to catch institutional trends earlier.
* **Multi-Timeframe (MTF) Stack:** It automatically plots higher-timeframe Moving Averages (e.g., Weekly and Monthly lines) onto the Daily chart. This allows traders to ensure their trades align with the dominant structural trend without switching tabs.
* **Signal Shapes:**
* **Triangles:** Signal a **Breakout** (Trend Following).
* **Diamonds:** Signal a **Mean Reversion** entry (buying the bottom of the range in a pullback).
### Analogy
Think of the zSigma Pulse Navigator as a **sophisticated voltmeter** for the market.
Just as you wouldn't plug a sensitive appliance into an unstable power outlet, this tool measures the "current" of the market. If the volatility is erratic (Grey/Chop), it cuts the circuit to protect your capital. It only gives you the "Green Light" to trade when the voltage (Momentum) is stable and flowing in one direction.
MARAL Execution WorkflowOverview
MARAL Execution Workflow is a discretionary execution decision-support indicator designed to organize market context into a consistent workflow. It is not an automated trading system, does not place orders, and does not predict outcomes.
Meaning of MARAL: Market Alignment + Risk Awareness + Logic-based execution gating — a structured workflow framework designed to improve clarity and consistency in discretionary execution.
This tool supports discretionary decision-making across three stages: Context → Qualification → Management.
It extends analysis beyond entry by supporting post-entry decisions such as: Should I stay? Should I reduce risk? Should I exit? Or should I wait? These are decision-support questions, not predictions.
Key Features
9-Layer Framework + 3 Boards + EDC
The script uses a 9-layer framework coordinated by a centralized decision-state layer (EDC). Each layer has a defined role:
1. Directional Context (Trend/Bias Layer) — establishes a directional preference using configurable bias filters.
2. Higher-Timeframe Context (HTF Layer) — anchors execution to broader context when enabled.
3. Structure Mapping (Swing/Structure Layer) — identifies structural behavior (highs/lows) to frame decision areas.
4. Location / Proximity Awareness (Obstacle Layer) — evaluates proximity to likely reaction areas for risk awareness.
5. Momentum Quality (Momentum Layer) — distinguishes healthier follow-through vs weakening/choppy conditions.
6. Volatility / Stability Regime (VOL/REGIMI) evaluates volatility using ATR% thresholds and regime support using ADX.
7. Pre-Entry Qualification (Checklist Layer) — confirms whether minimum execution conditions are satisfied before entry.
8. Post-Entry Management Context (Management Layer) — monitors changing conditions after a setup for discretionary management.
9. Liquidity Context (Liquidity Layer) — integrates liquidity-based location context using PDH/PDL proximity, sweep/reclaim behavior, and lookback extreme breaks. When enabled, the script may also plot liquidity reference points for visual mapping.
Liquidity Regime States (Panel Output)
The Liquidity Layer displays a 3-state liquidity regime used for execution risk awareness:
• HIGH — a liquidity event is detected (e.g., sweep/reclaim or lookback extreme break).
• NEUTRAL — no event, but liquidity is nearby (proximity to PDH/PDL within a defined threshold).
• LOW — no event and no nearby liquidity pressure detected.
These are context/risk states used for discretionary gating — not buy/sell signals and not outcome predictions.
Boards
• Context Board — summarizes direction, HTF context, structure, momentum, volatility (ATR%), trend regime (ADX), scores, and liquidity context.
• Qualification Gate — rule-based checklist view to confirm minimum execution conditions before entry.
• Management Desk — post-setup view to monitor risk changes, obstacle proximity, deterioration cues, and management states.
EDC — Execution Decision Core
EDC consolidates outputs from the framework into unified workflow states. It applies rule-based gating to reduce conflict when conditions are mixed.
EDC Unified Output States (Decision-Support Only):
• SETUP: WAIT / LONG / SHORT
• ENTRY PERMISSION: ENTER / WAIT / SKIP
• LIQUIDITY: HIGH / NEUTRAL / LOW
• TRADE STATUS: VALID / RISKY / WEAK / —
• ACTION STATE: HOLD / TIGHT SL / SCALE OUT / EXIT / —
— may appear when a state is not applicable (e.g., no active management window is being tracked).
Panels & Labels (Exact On-Chart Meanings)
1) Context Board (Market Environment Snapshot)
• DIRECTION → Bullish / Bearish / Neutral
• H1 CONTEXT / H4 CONTEXT / DAILY CONTEXT → HTF bias states (when enabled). If HTF is disabled, shows OFF.
• STRUCTURE → Bull Struct / Bear Struct / Neutral Struct
• MOMENTUM → BULL / BEAR / NEUTRAL
• VOLATILITY (ATR%) → ATR as a percentage of price (volatility context)
• TREND STRENGTH → ADX context value
• LONG SCORE / SHORT SCORE → internal workflow alignment scores (0–100) with grade: A++ / A+ / A / B / No-Trade
• ALIGNMENT SCORE → combined alignment score used for gating
• LIQUIDITY CONTEXT → HIGH / NEUTRAL / LOW
Important: Scores are internal workflow scoring for filtering/alignment. They are not performance statistics and do not imply guaranteed probability or outcomes.
2) Qualification Gate (Pre-Entry Checklist)
Gate Legend: OK = passes filter, WARN = mixed/caution, BAD = fails filter (execution gated).
• SETUP → WAIT / LONG / SHORT
• HTF CONTEXT → OK / WARN / BAD / —
• STRUCTURE → OK / WARN / BAD / —
• MOMENTUM → OK / WARN / BAD / —
• VOL/REGIME → OK / WARN / BAD / — (Volatility + regime filter; not volume)
o OK = ATR% within thresholds AND ADX meets regime requirement
o WARN = ATR% within thresholds but regime is mixed (ADX below threshold)
o BAD = ATR% outside thresholds
• LIQUIDITY → HIGH / NEUTRAL / LOW
• ALIGNMENT → shows score vs required minimum threshold
• ENTRY PERMISSION → ENTER / WAIT / SKIP
Purpose: reduce forced entries by requiring minimum execution quality.
3) Management Desk (Post-Setup Decision Support)
The Management Desk operates inside an Active Window measured in bars after the last setup (configurable by input). When the management window is not active, some fields may show —.
• TRADE STATUS → VALID / RISKY / WEAK / —
— appears when no active trade state is being tracked (not applicable).
• MARKET PHASE → RANGE / IMPULSE / PULLBACK / CONTINUATION
Environment classification used for management context (not prediction).
• OBSTACLE AHEAD → YES / NO
Proximity risk context (e.g., near PDH/PDL or near swing levels under the script’s logic).
• EXIT PRESSURE → LOW / RISING / HIGH
Management pressure context based on deterioration cues (not a signal).
• MOMENTUM HEALTH → STRONG / WEAKENING / WEAK / NEUTRAL
Follow-through quality context used for management.
• SCORE TREND → IMPROVING / DETERIORATING / STABLE
Direction of the internal workflow score trend (not P&L, not performance).
• RISK STATE → OVEREXTENDED / NORMAL
Overextension context based on distance from EMA vs ATR.
• TRADE AGE → FRESH / MID / LATE / —
Workflow age based on bars since last setup. — when not applicable.
• SL MODE → BE OK / TIGHT / NORMAL / —
Stop-management context used for discretionary risk control. — when not applicable.
• ACTION STATE → HOLD / TIGHT SL / SCALE OUT / EXIT / —
o HOLD = maintain the current plan under present conditions
o TIGHT SL = discretionary prompt to reduce risk by tightening protection
o SCALE OUT = discretionary prompt to partially reduce exposure (partial exit / trim size), typically when obstacle proximity risk is detected
o EXIT = discretionary prompt that conditions deteriorated and exit may be considered
o — = not applicable
• ACTIVE WINDOW → ON / OFF
Shows whether the post-setup management window is active (bars after the last setup, per the “Active Window” input). When OFF, management/trade states may show —.
Optional Modules (Toggleable)
To keep the chart clean and workflow-focused, optional modules can be enabled/disabled:
A) PDH/PDL Reference (Optional)
• Plots Previous Day High / Previous Day Low as structured reference points (risk awareness only).
B) ATR-Based Planning Guides (Optional)
• Optional visual guides for SL / TP1 / TP2 / TP3 based on ATR.
• Visual planning references only. Does not place orders and does not guarantee outcomes.
C) Visual Color Layer (Optional)
• Optional state-based candle coloring for readability only.
D) State Markers (Optional)
• Optional state markers (e.g., LONG/SHORT confirmations). These are state confirmations only, not trade recommendations.
Display & Layout Options
• Display Mode: Mobile / Medium / Desktop
• Mobile Minimal View: optional minimal mode (EDC-only)
• Panel Positioning: 9 anchor positions
(Top Left / Top Center / Top Right / Middle Left / Middle Center / Middle Right / Bottom Left / Bottom Center / Bottom Right)
Why This Is Not a “Mashup”
This publication is not intended to bundle multiple classic indicators as independent buy/sell tools. While it uses familiar building blocks (trend/bias filtering, volatility/regime context, structure references, liquidity context), each component has a defined role inside a single execution workflow:
• Context Board → Qualification Gate → Management Desk organizes information into a consistent discretionary process.
• EDC consolidates multi-layer conditions into unified states using rule-based gating to reduce conflict and prioritize risk awareness.
This is a decision-support framework designed to improve clarity and consistency in discretionary execution. It does not place orders and does not provide guaranteed outcomes.
How to Use (Recommended Workflow)
1. Set context: Use the Context Board to determine directional preference, volatility/regime stability, and location context.
2. Qualify execution: Use the Qualification Gate as the filter. If alignment is not sufficient, avoid forcing entries.
3. Execute with location awareness: Avoid late entries into nearby obstacles. Treat proximity as increased risk.
4. Manage post-setup: Use the Management Desk to monitor risk changes. If states deteriorate, follow your plan (reduce risk, protect, or exit).
5. Stay consistent: Works best with position sizing rules and disciplined confirmation.
Screenshots / Visual Reference (What each panel shows)
Screenshot 1 — Full Workflow View (Desktop)
Shows the complete workflow layout on one chart: Context Board, Qualification Gate, Management Desk, and the EDC (Execution Decision Core) summary together.
Screenshot 2 — Context Board
Shows directional context, HTF context (if enabled), structure mapping, momentum quality, volatility/stability regime (ATR + ADX), and liquidity context (HIGH/NEUTRAL/LOW). This board is used to understand “market alignment” before considering execution.
Screenshot 3 — Qualification Gate (Pre-Entry)
Shows the rule-based checklist view used for discretionary pre-entry qualification. It summarizes SETUP (WAIT/LONG/SHORT), key confluence checks, liquidity context, and ENTRY PERMISSION (ENTER/WAIT/SKIP). This is a gating view—meant to prevent forced entries when alignment is insufficient.
Screenshot 4 — Management Desk (Post-Entry)
Shows post-entry condition monitoring within the active window after the last setup. It highlights trade status shifts (VALID/RISKY/WEAK), obstacle proximity, exit pressure, momentum health, score trend, risk state, SL mode, and action guidance context.
Screenshot 5 — EDC Panel (Execution Decision Core) — Centralized State
Shows the unified decision-support outputs consolidated from the workflow layers and boards into one compact view:
• SETUP: WAIT / LONG / SHORT
• ENTRY PERMISSION: ENTER / WAIT / SKIP
• LIQUIDITY: HIGH / NEUTRAL / LOW
• TRADE STATUS: VALID / RISKY / WEAK
• ACTION STATE: HOLD / TIGHT SL / SCALE OUT / EXIT
These are rule-based guidance states for discretionary execution and risk awareness — not automated actions.
Screenshot 6 — Example –Execution context
The screenshot shows MARAL Execution Workflow applied to XAUUSD on the 1-hour timeframe. All three boards and the EDC panel are visible:
• Context Board (top-right) – Confirms a fully aligned bullish environment: direction and all HTF contexts are Bullish, structure is “Bull Struct”, momentum is “BULL”, volatility (ATR%) is within normal bounds, and the long-side alignment score is high while the short-side score is in “No-Trade” territory. Liquidity Context is “LOW”, indicating limited immediate liquidity pressure.
• Qualification Gate (top-center) – For the same bar, the checklist produces a LONG setup with HTF CONTEXT, STRUCTURE, MOMENTUM and VOL/REGIME all marked OK. Liquidity is LOW, and ALIGNMENT shows “93 / 65”, meaning the current long-side score (93) is above the user-defined minimum threshold (65). ENTRY PERMISSION = ENTER, signaling that, within this framework, execution conditions are sufficiently aligned to allow a discretionary long entry according to the trader’s own plan.
• Management Desk (left) – Once a trade is active, the post-entry view monitors evolving risk. In this example the trade status is VALID and MARKET PHASE is CONTINUATION, while RISK STATE highlights OVEREXTENDED and TRADE AGE is FRESH. MOMENTUM HEALTH = STRONG, SCORE TREND = STABLE, and ACTION STATE = HOLD. This illustrates how the panel can flag extension or emerging pressure without forcing a decision.
• EDC | Execution Decision Core (bottom-right) – The EDC panel consolidates the key states into one unified view: SETUP = LONG, ENTRY PERMISSION = ENTER, LIQUIDITY = LOW, TRADE STATUS = VALID, ACTION STATE = HOLD. These are rule-based guidelines summarizing the interaction between Context, Qualification, Management and liquidity conditions. They are decision-support outputs only; they do not place orders and do not imply any guaranteed outcome.
Inputs & Customization
Inputs are provided to adapt the workflow to different instruments and timeframes, including:
• bias/trend parameters and smoothing, optional HTF context,
• structure sensitivity and lookback,
• momentum thresholds,
• volatility thresholds (ATR% limits) and regime filter (ADX),
• liquidity sensitivity (lookback / proximity thresholds),
• visuals (show/hide boards, display mode, mobile minimal view, text size, positioning).
Markets & Timeframes
Designed for multiple markets and instruments available on Trading View, including:
• Indices (index charts / index futures where available — not an options-chain or options-pricing tool)
• Crypto
• Forex
• Stocks / ETFs
• Commodities
Timeframe-agnostic: can be applied from lower to higher timeframes based on your trading style. Results vary by instrument, timeframe, and volatility/regime.
Limitations (Important)
• Discretionary analysis tool only; does not place trades.
• Optional markers/labels (if enabled) are state confirmations only, not recommendations.
• HTF values can update as HTF candles develop.
• Structure/obstacle references are informational decision areas and may be exceeded.
• No indicator removes risk; risk management remains essential.
• Provided “as-is.” Outputs may differ across symbols, sessions, spreads, or data feeds.
Risk & Disclaimer
Trading involves risk. Past behavior does not indicate future performance. This script is provided for educational and analytical purposes only. You are responsible for all trading decisions, including entries, exits, position sizing, and risk management. The script does not place trades and does not provide investment advice.
HADC by Guru Alchemistbasis dow theory and fractals
watch my video in mybillioninc handle in youtube
this will be free till 31 jan 2026
HADC by Guru Alchemistbasis dow theory watch youtube video yt handle mybillioninc
this will be free till 31012026
[iQ]PRO Quantum MMXM Matrix Oscillator+++1. PRO Quantum MMXM Probability Matrix+++
2. Summary
This advanced market analysis engine combines fractal geometry with institutional liquidity models to decode complex market structure in real-time. Designed for precision traders, it utilizes a probabilistic state machine to forecast market regimes, distinguishing between accumulation, manipulation, and genuine trend expansion.
3. How It Works
The script operates on a "Theoretical Physics" approach to market data, treating price action as a dynamic system shifting between various energy states.
Probabilistic Regime Detection: Instead of relying solely on lagging price crosses, the core engine utilizes a Markov Chain model. This analyzes the probability of the market transitioning from one state (e.g., Consolidation) to another (e.g., Expansion) based on historical sequence learning.
Fractal Momentum weighting: The oscillator employs a "Quantum" momentum calculation. It weights price velocity against the market's "roughness" (using Hurst Exponent logic). This filters out low-quality volatility, ensuring that only statistically significant moves drive the signal.
Institutional Liquidity (MMXM) Curve: This component calculates the density of buying versus selling pressure relative to a dynamic equilibrium. It aims to identify "Manipulation" zones where price is artificially extended away from fair value to engineer liquidity.
Entropy & Confidence: The system measures the "disorder" of the current trend. Low entropy indicates a high-confidence, organized trend, while high entropy warns of chaotic, low-probability conditions.
4. Key Features
8-State Market Classification: Automatically detects phases including Consolidation, Manipulation, Expansion, and Distribution.
MMXM Liquidity Curve: Visualizes potential "Smart Money" reversal points and liquidity runs.
Multi-Timeframe Alignment: An on-chart dashboard displaying structural alignment across Daily, 4-Hour, and current timeframes.
Probability Density Field: Dynamic background coloring that intensifies based on the statistical confidence of the current directional bias.
Live Probability Heatmap: A real-time data table showing the percentage likelihood of the next market state.
5. How to Use
Step 1: Assess Directional Bias Check the "Probability Field" background color and the Quantum Metrics panel. A bright Green background indicates high-confidence bullish probability; Red indicates bearish.
Step 2: Confirm Structure (MTF) Consult the top-left Alignment Table. Ideal high-probability entries occur when the "HTF" (Higher Timeframe) and "MTF" (Medium Timeframe) states align in color/direction.
Step 3: Identify the Setup
Reversals: Look for the Oscillator or Price to hit the Deviation Targets (dotted lines). These represent statistically overextended zones (Fractal Deviation).
Trend Continuation: Wait for the "State" to switch from "Manipulation" to "Expansion" while the MMXM Curve crosses the equilibrium (zero) line.
Step 4: Risk Management Use the "Confidence" metric in the bottom panel. If Confidence drops below 50%, reduce position sizing or tighten stops, as the market is entering a chaotic state.
6. Settings & Configuration
Quantum Field Config: Customizes the specific timeframes used for the Multi-Timeframe alignment (HTF1, HTF2, MTF).
Fractal Parameters: Adjust the Hurst Exponent and Fractal Dimension to tune how the script filters noise versus trend.
MMXM Settings: Toggle the sensitivity of the liquidity curve and choose the equilibrium reference (VWAP, EMA, or Session Open).
Visualization: Individual toggles to show/hide the Oscillator, Probability Field, Heatmaps, and Deviation lines to keep your chart clean.
Access & Proprietary Terms
This is a Closed-Source, Invite-Only proprietary tool. The underlying algorithms are obfuscated to protect the integrity of the PRO methodology and its private user base.
Computational Optimization: Engineered for high-frequency data processing with minimal terminal lag.
Membership: Access is strictly reserved for private members.
Disclaimer: Trading involves significant risk. The PRO Matrix is an advanced analytical tool and does not guarantee profits. Past performance within the probability engine is not necessarily indicative of future results.
Gold Adaptive Surfer v42 [huntamayung]Just a trend-following optimized for minimal risk and high grip onto trend. Try to use it as a signal in 1 minute timeframe. Note that this was optimized for OANDA:XAUUSD only.
Multi-Timeframe Close and Midpoint ConfluenceMulti-Timeframe Close Monitoring and Price Midpoint Confluence Indicator
This indicator is designed to assist traders in monitoring multiple timeframe candle closes and identifying areas where price midpoints (50% levels) from different timeframes cluster together.
The tool focuses on timing awareness and structural context, helping users observe periods where multiple timeframe events occur close together, which may coincide with increased market activity.
What the Indicator Tracks
The indicator monitors candle close timing and price context across multiple timeframes, including:
Intraday timeframe closes (30m, 1h, 2h, 3h, 4h, 6h, 8h)
Higher-timeframe closes (Daily, Weekly, Monthly) when within a defined scan window
The midpoint (50%) of the previous candle for each tracked timeframe
The distance between current price and each midpoint level
This information is evaluated independently for each timeframe.
Timeframe Close Confluence
When multiple timeframes are approaching a candle close within a short window, the indicator highlights this period visually.
These moments can be useful for observing potential shifts in activity or volatility, particularly when combined with other forms of analysis.
Visual markers and optional alerts are used to draw attention to these timing clusters.
Midpoint (50%) Level Clustering
The indicator also evaluates whether multiple 50% levels from different timeframes are located within a user-defined proximity.
When several midpoints cluster closely together, the area is highlighted as a zone of interest for further observation, as overlapping price references may act as areas of interaction.
Countdown & Information Panel
An optional on-chart panel displays:
A live countdown to upcoming timeframe closes
Relative urgency based on proximity to each close
Whether current price is above or below each midpoint
Distance metrics to help gauge proximity
Color coding is used to improve readability rather than indicate trade direction.
Visual Context Tools
Additional visual options include:
Background shading when multiple timing or midpoint conditions overlap
Adjustable thresholds to control sensitivity
Customizable colors, opacity, and panel placement
These visuals are intended to provide contextual awareness, not trade signals.
Intended Use
Style: Multi-timeframe analysis and timing awareness
Markets: Forex, crypto, equities, futures
Purpose:
Monitor upcoming timeframe closes
Observe overlapping price reference zones
Improve preparation around potential activity windows
The indicator is best used as a supplementary tool alongside independent analysis.
Important Notes
This script is provided for educational and analytical purposes only.
It does not predict market outcomes and should not be used as a standalone decision-making tool. Users are encouraged to apply appropriate risk controls and confirm observations with additional analysis.
ICT all in oneSessions, PDH, PDL, High Time Frame Candles and Inversion Fair Value gap detector.
This indicator helps detect FVG's on the higher time frame for you to mark with the HTF candles.
Helps see Session sweeps, Small SMT's, Previous day high and low and one Inversion closes to price on the current time frame for possible entry.
Multi-Group Trend Boxes with POC Trend Line - XWiseTradeAdvanced multi-timeframe trend structure visualization.
This indicator creates three independent groups of trend boxes, each with:
• Custom bar count and lower timeframe POC calculation
• Automatic up/down/sideways coloring
• Connecting POC trend line
Perfect for:
• Multi-timeframe confluence analysis
• Identifying trend strength across scales
• Clean structural price action mapping
Features:
• 3 fully customizable groups (short/medium/long term)
• Dynamic POC-based trend lines
• Transparent colored boxes
• High performance with object management
More premium indicators and strategies coming soon at:
xwisetrade.com
Be Wise. Trade X.
Fixed Time Frame EMA [TickDaddy]Show a 50 period EMA on the 15 minute timeframe on any other timeframe like 5 min, 1 min, 1 hour, etc.. etc..
it's all customizable, you choose the timeframe, ema, color, all that good stuff.
Kijun Equilibria [by Oberlunar]The “story” starts with Ichimoku Kinkō Hyō, created by the Japanese journalist Goichi Hosoda in the 1930s and published in the 1960s; its literal meaning is often rendered as a “one-glance equilibrium chart” because it aims to show balance, trend direction, and dynamic support/resistance at a glance.
In that tradition, the Kijun-sen (“base line”) is not just a moving average: it is a reference equilibrium level, classically computed as the midpoint of the high–low range over 26 periods.
Kijun Equilibria keeps that Japanese “equilibrium” idea, but modernises it in two ways. First, it turns the Kijun concept into an adaptive equilibrium line: instead of assuming a fixed market tempo (like the classic 26), it estimates a dominant cycle length using an Ehlers-style Hilbert/cycle approach, then scales internal lengths and smoothers so the equilibrium line responds differently in trending vs choppy regimes.
Second, it makes equilibrium explicitly multi-timeframe: you compute the adaptive Kijun on the chart TF (in this example 30 m) plus three lower TFs (in this example 1, 3, 5 m), then build a “cloud” between the highest and lowest of those equilibria, which becomes a practical map of where timeframes disagree and where price is most likely to “snap back” toward balance.
Bearish bias
This is a signal that the trend may shift into a bearish bias.
Due to this graphical setup, “cloud fog” is a meaningful meta-word here. In classic Ichimoku, the thickness and shape of the cloud provide a visual way to reason about strength and uncertainty.
In my indicator, the “cloud fog fills” reinterpret that same visual principle, but instead of Senkou spans, they shade the space between equilibria across timeframes, making dispersion (and compression) immediately visible.
The Ornstein–Uhlenbeck part then adds a quantitative “pullback detector” that fits the Ichimoku philosophy rather than replacing it. OU was introduced by Ornstein and Uhlenbeck as a mean-reverting stochastic process; in modern terms, it is a canonical model for a variable that is continuously pulled back toward a mean.
Bullish bias
In this case, we have a bullish bias, and the pullback detector based on Ornstein–Uhlenbeck mean-reversion calculations has signalled that the price is re-entering the green cloud, suggesting a potential bullish continuation after the bounce.
In my indicator, the mean is not an arbitrary moving average: it is the Kijun equilibrium itself. I apply OU to the deviation x = price − kijun, estimate a reversion strength (κ/kappa), and convert the deviation into a z-like score.
The result is very “Japanese” in spirit: the model isn’t saying “price is random”; it’s saying “price departs from balance, but balance pulls back”, and you only trust that pullback when κ is strong enough and the deviation is meaningfully stretched.
Bearish bias and Pull-Back idea
In this case, there are multiple pullbacks that may offer short opportunities, but eventually price breaks strongly through the TF baseline—at that point, it’s time to stop treating the trend as bearish-biased.
Finally, ATR is the glue that makes the bias logic practical and comparable across regimes. ATR (popularised by J. Welles Wilder in 1978) is fundamentally a volatility yardstick. Here it becomes, coupled with biased signals, the unit of measure for everything that should scale with volatility: how far price must be outside the cloud to count as “stretched”, how much spacing you require between stacked Kijuns to accept a true long/short bias, and even how far above/below price you place bias labels. In other words, the “Long Bias / Short Bias” is not just alignment across timeframes; it is alignment with enough ATR-separated structure to reduce false signals when all lines are compressed.
This isn’t one of the most advanced tools in my collection, but it can help newcomers. Be careful: despite the safeguards added, it may or may not produce consistently reliable signals. Risk management is central.
However, given its history, I wanted it to be part of my own collection of scripts with my personal mods, and I’m releasing it for free to the community.
by Oberlunar 👁★
The Beast (Main)This Indicator combines Trendline Break + Z-Score + Adaptive Re-Entry
🔥 Quick Start
Trade trendline breakouts only
Confirm entries with Z-Score momentum
Optional adaptive re-entries (✕) after pullbacks
Clean signals, no clutter, no repaint
Works best when paired with the Z-Score Oscillator Companion
🚀 Overview
This indicator is a clean, rule-based breakout and continuation system designed to highlight high-quality trend trades while avoiding noise and overtrading.
It combines:
Structural trendline breaks
Statistical momentum (Z-Score)
Adaptive re-entry logic based on timeframe behavior
The result is a disciplined, professional signal framework focused on clarity and confidence rather than signal quantity.
🧠 How It Works
1️⃣ Trendline Break (Structure First)
Signals are only considered after price breaks a dynamically calculated trendline based on swing highs/lows.
This ensures alignment with real market structure.
2️⃣ Z-Score Momentum Confirmation
After a break:
BUY → Z-Score ≥ positive threshold
SELL → Z-Score ≤ negative threshold
This filters out weak moves and confirms statistical momentum, not guesswork.
3️⃣ Controlled Timing Window
Signals are valid only for a limited number of bars after the break.
This avoids late entries and stale setups.
🔁 Adaptive Re-Entries (Optional)
Re-entries allow controlled continuation trades in strong trends.
Marked with a ✕ (cross) for clear distinction
Always occur after a pullback
Printed one bar after confirmation (non-repainting)
Timeframe-aware modes:
Auto (Recommended)
Low / Mid / High TF
Off
A max re-entry limit prevents overexposure.
🔄 Alternate Signal Protection
An optional filter prevents:
BUY → BUY → BUY
SELL → SELL → SELL
This enforces signal discipline and avoids overtrading.
🎨 Visual Design
Primary entries: Arrow or Label (user choice)
Re-entries: ✕ only (always discreet)
Adjustable transparency for clean charts
🛠 Best Use
Trend-focused markets
Crypto, Forex, Indices, Futures
Intraday and Swing trading
Combine with "The Beast (Adaptive Companion)" for maximum clarity.
S.EQ - Macro TrackerMacro Tracker Indicator - Description
This TradingView indicator visualizes macro time windows throughout the trading day, marking specific 33-minute periods that occur hourly (from XX:42 to XX:15 of the next hour) in the America/New_York timezone.
Core Functionality
Time Windows Tracked:
The indicator monitors 24 hourly macro periods (e.g., 00:42-01:15, 01:42-02:15, etc.)
Each period spans 33 minutes, starting at 42 minutes past the hour and ending at 15 minutes past the next hour
Special periods for the last trading hour (14:42-15:15, 15:42-16:15) with an optional 15:15-15:45 window
---------------------------------------------------------------------------------
Visual Display Modes
1. On Chart Mode (Default)
Draws vertical lines at the start and end of each macro period
Displays a horizontal line at the top connecting the boundaries
Shows optional labels with time stamps at the midpoint
Midline Feature: Adds a dotted vertical line at XX:00 (the hour mark) within each macro period
Projects dotted extension lines toward current price action when enabled
Dynamically adjusts line heights based on price movement within the period
2. New Pane Mode
Displays macro periods as colored boxes in a separate indicator pane
Useful for cleaner chart visualization when tracking multiple periods
---------------------------------------------------------------------------------
Key Features
Customizable Display: Toggle individual macro periods on/off, choose colors, and control label visibility
Time Labels: Optional display of exact time ranges on each macro period
Projections: Extension lines that project from macro boundaries toward current price
Midline Markers: Dotted lines showing the hour mark (XX:00) within each macro period
Weekend Handling: Automatically adjusts for Friday closes and weekend gaps (non-crypto markets)
Memory Management: Automatically cleans up old drawing objects to maintain performance
Support Resistance + RSI + 4 EMA (Doge_SV)Overview
This comprehensive indicator is designed to provide traders with a "bird's-eye view" of the market by combining three essential technical analysis tools into a single, clean interface. It helps in identifying trend direction, key price levels, and momentum across multiple timeframes without cluttering your workspace.
Key Features
1. Dynamic Support & Resistance (S/R)
The script automatically identifies and plots significant Support and Resistance levels based on pivot points.
Dynamic Zones: It highlights areas where price has historically reacted, helping you find high-probability entry and exit points.
Strength Filtering: Includes a built-in algorithm to display only the most "significant" levels based on their historical strength.
Visual Alerts: Lines and labels change color (Lime for Support, Red for Resistance) based on the current price position.
2. Quad-EMA Trend Ribbon (The "Exponential Moving Averages")
The indicator features four of the most widely used EMAs in professional trading to identify trend hierarchy:
EMA 34 (Green): Short-term momentum and immediate support/resistance.
EMA 89 (Blue): Intermediate-term trend filter (The "Trend Core").
EMA 200 (Black): Long-term trend baseline (The "Institutional Level").
EMA 633 (Purple): Ultra-long-term trend, often used for major cycle analysis.
3. Multi-Timeframe (MTF) RSI Dashboard
Stay informed about overbought or oversold conditions across all timeframes simultaneously.
Real-time Table: A neat table in the corner of your chart displays RSI (14) values from 1 minute up to 1 day.
Heatmap Logic: The table cells automatically change color based on intensity:
Red/Orange: Overbought (RSI > 70/80)
Green/Dark Green: Oversold (RSI < 30/20)
White: Neutral zone.
How to Use
Trend Alignment: Look for the 4-EMAs to be stacked in order (34 > 89 > 200 > 633 for a Bullish trend).
S/R Confirmation: When price approaches a Red Resistance line, check the RSI Dashboard. If higher timeframes are also Overbought, it increases the probability of a reversal.
Breakout Detection: Use the Support/Resistance lines to identify potential breakouts or "Role Reversal" (where old resistance becomes new support).
MTF Fair Value GapsMTF Fair Value Gaps (MTF FVGs) plots Fair Value Gaps from up to 4 user-selectable higher timeframes directly on your chart.
Multi-timeframe support: Enable/disable each timeframe independently (e.g., 15m / 1h / 4h / 1D).
Clean chart mode: Show only the N closest bullish + bearish gaps per timeframe (reduces clutter).
Mitigation options: Choose how/when gaps are considered filled and automatically removed.
CE (0.5) midpoint line: Optional display with customizable style and width.
Per-timeframe colors: One color per timeframe (bull/bear share the same color).
Right-edge extension: Shift the right edge by X chart candles to keep gaps visible ahead of price.
Multi-TF ATR + ORB + EMA PRO ver. 3.0Multi-TF ATR + ORB + EMA PRO v3.0
Professional Trading Indicator Update - Complete Documentation
🎯 MAJOR ENHANCEMENTS OVERVIEW
1. ORB Logic Completely Redesigned
✅ Show Only Previous ORB - Extended line display of previous session's ORB
✅ Multi-Session Support - NY, EU, ASIA sessions with independent on/off toggles
✅ Dynamic Timeframe Selection - Switch between 4H, 1H, 30M, 15M, 5M in settings
✅ Previous Session Tracking - Separate variables for previous ORB highs/lows
2. Enhanced ATR Table with Color Signals
✅ Signal-Based Color Coding - Green (●) for active signals, Gray (○) for inactive
✅ Modern Design - Professional dark theme with gradient colors
✅ Quick Recognition - Color-coded cells for instant signal identification
✅ Fully Customizable - Position, size, and styling in settings
3. Full Syntax Validation & No Errors
✅ All Pine Script v6 syntax validated
✅ Proper type annotations on all variables
✅ Correct indentation (4 spaces throughout)
✅ Function declarations follow v6 standards
✅ Request.security() calls optimized
MSP Multi-Timeframe Trend & Momentum DashboardMulti-Timeframe Trend, Momentum, and Bias Dashboard
This indicator provides a multi-timeframe overview by evaluating several technical conditions across multiple timeframes simultaneously.
Its purpose is to help traders assess alignment or divergence between higher and lower timeframes before making trading decisions.
Rather than generating standalone signals, the dashboard summarizes trend, momentum, participation, and trend-strength metrics into a compact visual table.
What the Indicator Evaluates (Per Timeframe)
Each selected timeframe is analyzed independently using:
Trend context
Price position relative to fast and slow moving averages
Momentum
RSI position relative to user-defined thresholds
Directional confirmation
MACD line relative to its signal line
Participation
Current volume compared to its recent average
Trend strength
ADX value to distinguish trending from non-trending conditions
These components are combined to form a directional bias assessment for each timeframe.
Dashboard Overview
The dashboard displays:
Directional bias per timeframe
Aggregate bias across all selected timeframes
Momentum and trend readings
Relative volume strength
Trend-strength values
Alignment status when multiple timeframes agree
This allows users to quickly identify whether market conditions are aligned, mixed, or conflicting across timeframes.
Visual Encoding
Cells within the table are color-coded to improve readability:
Bullish bias
Bearish bias
Neutral or mixed conditions
Color intensity reflects relative strength, helping distinguish weak alignment from stronger confluence.
Optional chart-level visuals can highlight periods of broad alignment or disagreement across timeframes.
Customization Options
Users may adjust:
Timeframes included in the dashboard
Thresholds for momentum, volume, and trend strength
Table size, position, and visual appearance
Alert conditions based on alignment criteria
These settings allow the indicator to be adapted to different instruments, timeframes, and trading styles.
Intended Use
Style: Multi-timeframe analysis and confirmation
Markets: Forex, crypto, equities, index futures
Purpose:
Assess higher-timeframe bias
Improve directional context before entries
Avoid trades against broader trend conditions
The indicator is most useful as a contextual filter, rather than a standalone decision tool.
Important Notes
This script is provided for educational and analytical purposes only.
It does not predict price movement and should be used alongside independent analysis and appropriate risk controls.






















