FxNeel Session (Lite)Here is light version. You can all types of ICT session like Asia, london, new york, Aisa kill zone, CBDR .
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Trend Analizi
Smart Multi-Timeframe SeparatorsHere you will get Hourly, daily, weekly and monthly candle separator and also Running candle formation. Enjoy our indiactor. Happy Trading. Drop your feedback also please.
MM MAGICAL LINETitle: MM MAGICAL LINE
The MM MAGICAL LINE is a precision-based intraday tool designed to identify critical price levels established during specific institutional windows.
this indicator isolates key trend-confirmation zones that act as psychological support and resistance for the remainder of the session.
Key Features:
Institutional Anchoring: Captures price action from high-volume time brackets.
Clean UI: Minimalist design with customizable color schemes to fit any chart background.
Volatility Filter: Uses smoothed price data to eliminate market noise.
Best used on intraday timeframes (1m, 5m, 15m) for trend identification and breakout confirmation.
Lanovyx# Lanovyx — Setup Window Confluence System
## The Problem This Solves
Traditional confluence indicators require all conditions to align on the exact same bar: stochastic must be oversold AND price must touch support AND divergence must form — all simultaneously. In real markets, this rarely happens. Price touches VWAP -2σ, but stochastic doesn't reach oversold until 3 bars later. The opportunity is missed.
**Lanovyx solves this with the Setup Window methodology.**
---
## Core Innovation: Setup Windows
Instead of requiring simultaneous conditions, Lanovyx separates trading signals into two phases:
**Phase 1 — Context Event (Setup Activation)**
When a meaningful event occurs, it "opens a window" that stays active for a configurable number of bars:
- Price touches VWAP ±2σ or ±3σ band → window opens
- Price tests Previous Day High/Low → window opens
- Stochastic divergence forms → window opens
- Opening Range breakout occurs → window opens
- Price reaches Support/Resistance level → window opens
Each event adds to a cumulative "setup score" (capped at 8). Higher scores indicate stronger context.
**Phase 2 — Trigger (Signal Generation)**
Within the active window, when stochastic conditions confirm, a signal fires. The trigger doesn't need to occur on the same bar as the context — it just needs to occur while the window is open.
This two-phase approach captures setups that traditional indicators miss entirely.
---
## Why Stochastic + VWAP Confluence Works
**VWAP (Volume-Weighted Average Price)** tells us where institutional money has transacted. The standard deviation bands identify statistical extremes:
- Price at VWAP -2σ is extended to the downside (potential mean reversion long)
- Price at VWAP +2σ is extended to the upside (potential mean reversion short)
**Stochastic Oscillator** measures momentum exhaustion. When price reaches a VWAP extreme AND stochastic shows momentum reversing, we have confluence of:
1. Price extension (VWAP bands)
2. Momentum exhaustion (Stochastic)
3. Context validation (Setup Window score)
The multi-lane stochastic (14/21/55 periods) adds timeframe confluence — when fast, medium, and slow stochastics align, the signal is stronger.
---
## Five Signal Families
Each family targets a specific market condition:
### 1. Trend Entry (T) — Blue Labels
**When:** Stochastic pulls back to 25-55 zone (longs) or 45-75 zone (shorts) during established trend
**Logic:** In trending markets, pullbacks to the "value zone" offer low-risk entries with trend
**Best for:** Trending days with clear directional bias
### 2. Mean Reversion (R) — Green/Red Labels
**When:** Stochastic exits oversold (<20) or overbought (>80) with active setup window
**Logic:** At VWAP extremes with momentum exhaustion, price tends to revert to mean
**Best for:** Range-bound, choppy markets
**Requires:** Active setup window (context event must have occurred)
### 3. Breakout (B) — Orange Labels
**When:** Stochastic lanes compress ("coil") then expand, crossing the 50 midline
**Logic:** Compression precedes expansion; breakout from tight range signals new trend
**Best for:** Transition days, post-squeeze moves
### 4. Momentum (M) — Green/Red Labels
**When:** Stochastic crosses 50 from extreme zone (<25 or >75) within lookback period
**Logic:** Catches V-shaped reversals where regime detection lags the move
**Best for:** Fast reversals, news-driven moves
### 5. Counter-Signal / FADE (C) — Purple Labels
**When:** A signal fires and immediately fails (stochastic reverses sharply against it)
**Logic:** Failed signals often lead to strong moves in the opposite direction (trapped traders)
**Confidence gating:** High-confidence fades generate signals; low-confidence show warnings only
---
## Institutional Key Levels
Lanovyx incorporates levels that institutional traders use:
- **PDH/PDL** (Previous Day High/Low) — Major support/resistance where stops cluster
- **PDC** (Previous Day Close) — Settlement price, gap reference
- **ORB** (Opening Range) — First 15 minutes high/low, breakout trigger
- **IB** (Initial Balance) — First 60 minutes range, institutional benchmark
These levels automatically activate setup windows when price interacts with them, adding to the setup score.
---
## Filtering System
**ADX Filter:** In strong trends (ADX > 25), blocks counter-trend mean reversion signals to avoid fighting momentum.
**HTF Bias Filter:** Optional alignment with higher timeframe (e.g., 1-hour) EMAs. Can block or demote signals that oppose the larger trend.
**Regime Detection:** Classifies market as Uptrend, Downtrend, Sideways, or Squeeze using EMA alignment and market structure (HH/HL/LH/LL patterns).
---
## How to Use
1. **Wait for Setup** — Watch for context events (VWAP band touch, key level test, divergence)
2. **Check the Score** — Higher setup scores indicate stronger context (visible in debug mode)
3. **Wait for Trigger** — Let stochastic confirm within the window
4. **Confirm Regime** — Ensure signal type matches market condition
5. **Manage Risk** — Use the ATR-based stop/target levels shown after signals
**Strong signals (★)** appear when multiple confluence factors align — these are highest probability setups.
---
## Settings Overview
| Setting | Default | Purpose |
|---------|---------|---------|
| Setup Window | 10 bars | How long context events stay active |
| Entry Zone | 25-55 | Stochastic zone for trend pullback entries |
| OS/OB Levels | 20/80 | Stochastic extremes for mean reversion |
| Stop Loss | 1.5 ATR | Risk management distance |
| Target 1 | 2.0 ATR | First profit target (1.33:1 R:R) |
Recommended timeframes: 5-minute and 15-minute charts.
---
## Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. No indicator can predict the future — use this as one input in your trading decision process, not as a standalone system.
Volume Oracle - Regime DetectionVolume Oracle - Regime Detection
Volume Oracle transforms raw volume data into a regime-based flow analysis framework. The indicator is designed to help traders identify periods of accumulation and distribution through five integrated analytical layers: regime detection, market structure validation, volume footprint analysis, quality scoring, and multi-timeframe confluence.
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🔶 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪
Volume analysis has long been considered a window into market participant activity. Large players cannot move size without leaving footprints in the volume record. Traditional volume indicators show raw numbers, but interpreting whether elevated volume represents accumulation or distribution requires additional context.
Volume Oracle builds on this foundation by adding five analytical layers:
• Regime Detection: Classifies the current market state as Accumulation (buying pressure), Distribution (selling pressure), or Neutral (no clear direction) using a composite scoring system that weighs price velocity, trend alignment, and volume-weighted flow.
• Market Structure Validation: Tracks swing highs and lows to determine if price structure (higher highs/higher lows vs lower highs/lower lows) agrees with the detected regime.
• Volume Footprint Analysis: Classifies volume spikes as either Momentum bars (large body, small wicks indicating directional conviction) or Absorption bars (small body, large wicks indicating supply/demand absorption).
• Quality Scoring System: Rates each signal from 0-100% based on multiple confluence factors, displayed as star ratings for quick visual assessment.
• Multi-Timeframe Confluence: Optional higher timeframe filters that require regime alignment across multiple timeframes before generating signals.
The indicator adapts all parameters automatically based on the chart timeframe, with different settings optimized for scalping, intraday, swing, and position trading styles.
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🔶 𝗛𝗢𝗪 𝗜𝗧 𝗪𝗢𝗥𝗞𝗦
The indicator is built around one core principle: market participant activity may reveal itself through the relationship between volume, price movement, and market structure.
𝗥𝗲𝗴𝗶𝗺𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺
What it does: The regime engine calculates a composite score using four weighted components: recent price velocity (where price is heading now versus recent history), trend alignment (EMA stacking and price position relative to moving averages), volume-weighted flow (proportion of volume occurring on up-closes versus down-closes), and volume confirmation (whether current volume exceeds average). The score passes through an EMA smoothing filter and must exceed configurable thresholds for multiple consecutive bars before a regime change is confirmed.
How to interpret it: When the indicator shows Accumulation, this suggests buying pressure currently dominates. Distribution suggests selling pressure dominates. Neutral indicates no clear directional bias. The regime state colors the volume bars: green tints during accumulation, red tints during distribution, gray during neutral periods. A subtle background shade reinforces the current regime.
𝗠𝗮𝗿𝗸𝗲𝘁 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻
What it does: The indicator tracks recent swing highs and swing lows using pivot detection. It compares the most recent swing points to previous ones to determine if price is making higher highs and higher lows (bullish structure), lower highs and lower lows (bearish structure), or mixed patterns.
How to interpret it: When structure aligns with regime (bullish structure during accumulation, bearish structure during distribution), the regime table displays a checkmark. When structure conflicts with regime, this may suggest the regime is losing conviction. Structure validation appears in the regime table and factors into signal quality scores.
𝗩𝗼𝗹𝘂𝗺𝗲 𝗙𝗼𝗼𝘁𝗽𝗿𝗶𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀
What it does: On volume spike bars, the indicator analyzes the candle structure. Momentum bars have large bodies relative to their range (directional conviction). Absorption bars have small bodies with large wicks (supply or demand being absorbed without moving price significantly).
How to interpret it: Momentum bars during a trend may suggest strong directional conviction pushing price. Absorption bars may suggest supply or demand being absorbed at support or resistance without significant price movement. Footprint type factors into signal quality and triggers dedicated alerts.
𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺
What it does: Each signal receives a quality score from 0-100% based on multiple factors: volume spike strength, flow direction conviction, trend alignment, regime strength, regime freshness, squeeze proximity, HTF alignment (if enabled), momentum acceleration, structure agreement, footprint type, market character (trending vs choppy), and confluence count. High signal density (many signals in a short period) reduces quality scores.
How to interpret it: Signals display star ratings: three stars for scores above 85%, two stars for 75-84%, one star for 65-74%, and no stars below 65%. A target emoji appears when five or more confluence factors align. Higher quality scores suggest more factors agreeing, though this does not guarantee outcomes.
𝗠𝘂𝗹𝘁𝗶-𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲
What it does: When enabled, the indicator fetches data from one or two higher timeframes and calculates simplified regime scores for each. It checks whether HTF regimes match the current timeframe regime, whether HTF strength exceeds a minimum threshold, and whether HTF regimes are strengthening rather than weakening.
How to interpret it: When all HTF conditions align, signals display an additional emoji indicator. In strict mode, signals only appear when HTF agrees. The HTF table shows regime state, strength percentage, trend direction, and alignment status for each configured timeframe.
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🔶 𝗪𝗛𝗬 𝗧𝗛𝗘𝗦𝗘 𝗖𝗢𝗠𝗣𝗢𝗡𝗘𝗡𝗧𝗦 𝗪𝗢𝗥𝗞 𝗧𝗢𝗚𝗘𝗧𝗛𝗘𝗥
Each layer addresses a different aspect of market analysis:
1. Regime Detection: Establishes the directional bias using volume-weighted evidence.
2. Structure Validation: Confirms whether price action supports the detected regime.
3. Footprint Analysis: Characterizes the nature of volume activity on spikes.
4. Quality Scoring: Synthesizes all factors into a single actionable metric.
5. Multi-Timeframe Filter: Reduces noise by requiring agreement across timeframes.
When multiple factors align (strong regime, confirming structure, momentum footprint, high quality score, HTF agreement), this represents maximum confluence. Such conditions may warrant closer examination, though they do not guarantee any particular outcome.
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🔶 𝗛𝗢𝗪 𝗧𝗢 𝗨𝗦𝗘
This section provides step-by-step guidance for interpreting the indicator's visual elements.
𝗦𝘁𝗲𝗽 𝟭: 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝘁𝗵𝗲 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗥𝗲𝗴𝗶𝗺𝗲
Look at the regime table in the corner of the chart. The top row shows the current regime state: ACCUMULATION, DISTRIBUTION, or NEUTRAL. The color matches the regime (green, red, or gray).
• Volume bars tinted green suggest accumulation regime
• Volume bars tinted red suggest distribution regime
• Volume bars gray indicate neutral regime
The regime provides context for all other readings. Trading with the regime (buying during accumulation, selling during distribution) aligns with the detected flow direction.
𝗦𝘁𝗲𝗽 𝟮: 𝗔𝘀𝘀𝗲𝘀𝘀 𝗥𝗲𝗴𝗶𝗺𝗲 𝗛𝗲𝗮𝗹𝘁𝗵
The regime table displays multiple health indicators:
• Strength percentage: Higher values suggest stronger conviction
• Status: STRONG, FADING, WEAKENING, or CRITICAL
• Health: Composite warning indicator (HEALTHY, WATCH, CAUTION, DANGER)
• Structure: Whether price structure agrees with regime
• Market: Whether conditions are TRENDING, NORMAL, or CHOPPY
• Flip: Whether a regime change is building
When status shows FADING or worse, the regime may be losing conviction. Yellow-tinted volume bars appear after three consecutive bars of weakening status, providing early warning of potential regime changes.
𝗦𝘁𝗲𝗽 𝟯: 𝗪𝗮𝘁𝗰𝗵 𝗳𝗼𝗿 𝗦𝗶𝗴𝗻𝗮𝗹𝘀
Bullish signals appear as green labels with an up arrow above volume spikes during accumulation. Bearish signals appear as red labels with a down arrow during distribution. Labels include:
• Star ratings indicating quality (more stars suggest more confluence)
• Target emoji when five or more factors align
• HTF emoji when higher timeframe agrees
Hover over any signal label to see detailed tooltip information including quality percentage, risk levels, position sizing suggestions, and specific confluence factors present.
𝗦𝘁𝗲𝗽 𝟰: 𝗖𝗵𝗲𝗰𝗸 𝗛𝗧𝗙 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 (𝗜𝗳 𝗘𝗻𝗮𝗯𝗹𝗲𝗱)
When multi-timeframe filtering is enabled, a second table appears showing HTF regime states. Green checkmarks indicate alignment, red X marks indicate disagreement. For maximum confluence, all timeframes should agree on regime direction.
𝗦𝘁𝗲𝗽 𝟱: 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝗘𝘅𝗶𝘁 𝗪𝗮𝗿𝗻𝗶𝗻𝗴𝘀
Yellow warning labels appear when exit conditions trigger: regime flips, flow reversals, critical weakness, time-based exits, or target hits. These suggest reviewing open positions. The tooltip explains the specific exit reason.
𝗦𝘁𝗲𝗽 𝟲: 𝗖𝗼𝗺𝗯𝗶𝗻𝗲 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗙𝗮𝗰𝘁𝗼𝗿𝘀
The indicator provides the most context when multiple elements align:
𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘈 (𝘛𝘳𝘦𝘯𝘥 𝘊𝘰𝘯𝘵𝘪𝘯𝘶𝘢𝘵𝘪𝘰𝘯): Regime shows ACCUMULATION at 72% strength with STRONG status. Structure displays checkmark (HH/HL confirmed). Market character shows TRENDING. A volume spike triggers a bullish signal with two stars and HTF alignment. Multiple factors agreeing during an established regime suggests trend may continue, though no outcome is guaranteed.
𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘉 (𝘔𝘰𝘮𝘦𝘯𝘵𝘶𝘮 𝘍𝘢𝘥𝘪𝘯𝘨): Regime shows DISTRIBUTION but status has shifted to FADING. Strength dropped from 65% to 48% over recent bars. Structure shows conflict (regime bearish but structure making higher lows). Volume bars have turned yellow. This type of internal disagreement often appears before regime changes or consolidation periods.
𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘊 (𝘌𝘹𝘩𝘢𝘶𝘴𝘵𝘪𝘰𝘯 𝘞𝘢𝘳𝘯𝘪𝘯𝘨): After an extended rally, regime shows ACCUMULATION but status reads CRITICAL. Health indicator shows CAUTION with two warnings active. An absorption bar appears (volume spike with small body and large upper wick). The Flip row shows regime change building. None of this guarantees reversal, but multiple warning signs appearing together suggest caution.
𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘋 (𝘉𝘳𝘦𝘢𝘬𝘰𝘶𝘵 𝘍𝘳𝘰𝘮 𝘊𝘰𝘯𝘴𝘰𝘭𝘪𝘥𝘢𝘵𝘪𝘰𝘯): Regime has shown NEUTRAL for several sessions with volume bars gray and muted. Market character displays CHOPPY. Then a volume spike triggers with regime flipping to ACCUMULATION, confirmed by structure shift to HH/HL. A three-star signal appears with target emoji. When multiple elements shift together after a quiet period, consolidation may be resolving into a directional move.
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🔶 𝗡𝗔𝗩𝗜𝗚𝗔𝗧𝗜𝗡𝗚 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗧 𝗠𝗔𝗥𝗞𝗘𝗧 𝗖𝗢𝗡𝗗𝗜𝗧𝗜𝗢𝗡𝗦
𝗧𝗿𝗲𝗻𝗱𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝘀
During sustained trends, the indicator typically shows persistent regime state (accumulation in uptrends, distribution in downtrends) with STRONG status and TRENDING market character. Structure should confirm with appropriate swing point patterns. Signals receive quality bonuses during trending conditions. Focus on signals that align with the established regime rather than counter-trend setups. The regime strength percentage and status provide ongoing confirmation that the trend remains healthy.
𝗥𝗮𝗻𝗴𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝘀
During consolidation, expect frequent regime shifts between accumulation, distribution, and neutral. Market character will display CHOPPY, and quality scores receive penalties. Structure may show mixed readings. Signal frequency increases but quality decreases. Consider using stricter filtering (higher volume threshold, HTF requirement) or waiting for regime stability before acting. The stability index in the regime table tracks flip frequency to help identify choppy conditions.
𝗛𝗶𝗴𝗵 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗘𝘃𝗲𝗻𝘁𝘀
During news events or volatility spikes, the auto-adapt feature adjusts thresholds based on ATR readings. Higher volatility raises the bar for regime changes, reducing whipsaws. Volume spikes during high volatility require greater statistical significance. The regime table tooltip shows current adaptive settings for transparency. Signals during extreme volatility should be interpreted with additional caution.
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🔶 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗗𝗘𝗧𝗔𝗜𝗟𝗦
• Volume spike detection uses z-score normalization against a lookback window
• Regime scoring combines velocity, trend, flow, and volume components with configurable weights
• Regime changes require multi-bar confirmation above thresholds
• Structure detection uses pivot-based swing point identification
• Footprint classification analyzes body-to-range ratio and wick proportions
• Quality scoring aggregates multiple factors with caps and multipliers
• HTF data uses request.security with lookahead disabled (non-repainting)
• All signals fire on bar close only (non-repainting architecture)
• Parameters adapt automatically based on timeframe category
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🔶 𝗨𝗡𝗜𝗤𝗨𝗘 𝗙𝗘𝗔𝗧𝗨𝗥𝗘𝗦
• Timeframe Adaptive: All parameters (lookbacks, thresholds, confirmations) automatically scale based on whether the chart shows scalp, intraday, swing, or position timeframes.
• Multi-Layer Warning System: Four warning levels (STRONG, FADING, WEAKENING, CRITICAL) provide graduated alerts as regimes deteriorate, rather than binary flip signals.
• Structure-Regime Validation: Cross-references detected regime against actual price structure (swing highs/lows) to identify potential divergences.
• Volume Footprint Classification: Distinguishes between momentum-driven volume spikes and absorption patterns that may indicate different market participant behavior.
• Quality-Based Position Sizing: Suggested position sizes scale based on signal quality, with higher confluence signals receiving larger size recommendations.
• Non-Repainting Architecture: All calculations use confirmed bar data only. Historical display matches real-time behavior exactly.
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🔶 𝗦𝗘𝗧𝗧𝗜𝗡𝗚𝗦 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪
• Detection: Volume spike threshold, signal cooldown, regime sensitivity mode, auto-adapt toggle, warning display toggle
• Risk: Account size, risk percentage, ATR length, stop/target multipliers, partial exit percentage, trailing stop and breakeven settings
• Multi-Timeframe: HTF enable toggles, timeframe selections, strict mode, minimum HTF strength threshold
• Strategy: Trading mode selection (Trend Following, Mean Reversion, or Hybrid), mean reversion threshold
• Display: Toggles for regime table, background colors, exit warnings, quality stars, management labels, tooltips, and HTF table
• Table Style: Layout orientation, table positions, text sizes, border and frame widths
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🔶 𝗔𝗟𝗘𝗥𝗧𝗦
25 alert conditions available:
• Bull Signal / Bear Signal / Any Signal: Core directional signals with quality and position details
• Target 1 Hit / Breakeven: Position management milestones
• Exit Warning: Triggered when exit conditions appear
• Regime to Accumulation / Distribution / Neutral: Individual regime change alerts
• Any Regime Change: Fires on any regime transition
• Regime Weakening: Early warning of deteriorating regime
• Momentum Fading / Flow Deteriorating / Volume Drying: Leading exit indicators
• Multiple Warnings: Fires when two or more warning conditions active
• HTF Aligned / HTF Broke: Multi-timeframe alignment changes
• Structure Bullish / Structure Bearish: Price structure shifts
• Structure Conflict: When structure disagrees with regime
• Momentum Footprint / Absorption Footprint: Volume footprint detection
• Market Trending / Market Choppy: Market character changes
• High Confluence Signal: Signals with five or more factors aligned
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🔶 𝗟𝗜𝗠𝗜𝗧𝗔𝗧𝗜𝗢𝗡𝗦
• Requires Volume Data: Instruments without reliable volume data (some forex pairs, indices) will produce unreliable readings.
• Analysis Tool, Not Signal Generator: This indicator identifies conditions that may warrant attention. It does not provide entry/exit instructions and should not be followed mechanically.
• Lagging Component: Regime detection requires confirmation bars, introducing necessary lag. Fast reversals may not be captured in time.
• No Guarantee of Outcomes: High quality scores and multiple confluence factors improve context but do not predict results. Markets can move against any setup.
• HTF Limitations: Higher timeframe data updates on HTF bar closes, not continuously. Brief alignment windows may be missed.
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🔶 𝗖𝗢𝗡𝗖𝗟𝗨𝗦𝗜𝗢𝗡
Volume Oracle provides a structured framework for analyzing volume flow through regime detection, structure validation, footprint classification, quality scoring, and multi-timeframe confluence. The indicator is designed to help traders identify accumulation and distribution phases and assess the conviction behind detected regimes. Multiple warning systems provide early indication when regimes may be losing strength.
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🔶 𝗗𝗜𝗦𝗖𝗟𝗔𝗜𝗠𝗘𝗥
Trading is risky and most traders lose money. This indicator is provided for informational and educational purposes only. It does not constitute financial advice, and past performance does not guarantee future results. All content, tools, and analysis should not be considered as recommendations to buy or sell any asset. Users are solely responsible for their own trading decisions. Always use proper risk management and consider consulting a qualified financial advisor before making trading decisions.
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Built with PineScript v6. Non-repainting. All signals confirmed on bar close.
Exchange Sessions - Bollinger Bands Version [FervTrades]This indicator visualizes the four major trading sessions (New York orange, London blue, Tokyo pink, Sydney yellow) using fixed UTC timings optimized for crypto/forex markets and UTC+8 equivalents noted in code. It overlays customizable session ranges (90% transparent boxes), Bollinger Bands (20-period, 2σ default), optional trendlines (linear regression with R²), session means, or max/min levels, plus daily dividers with weekday labels for clear session isolation during high-volume overlaps like London/NY.
Key Features
- Session Dashboard: Real-time table (top-right default) shows active/inactive status (green/red), trend strength (R² >0 bullish), BB width (expansion/contraction), and volatility (σ) for each session; toggle advanced mode for metrics.
- Bollinger Bands Per Session: Session-specific BB calculated incrementally during active hours only, plotted with basis (solid), upper/lower (translucent); ideal for spotting volatility squeezes or breakouts within sessions.
- Flexible Overlays: Enable/disable per session and type (range, BB, trendline, mean, max/min); trendlines use weighted linear regression for directional bias.
----------------Session Times (UTC)----------------
Session Time (UTC) PHT Equivalent
New York 13:00-22:00 9PM-6AM
London 08:00-16:30 4PM-12:30AM
Tokyo 00:00-09:00 8AM-5PM
Sydney 22:00-07:00 6AM-3PM (next day)
Refer to this image:
Perfect for orderflow traders focusing on institutional sessions—pair with volume/delta tools to time entries on BB touches or range breaks. No DST issues; works on any timeframe.
LH Alert Orb & SessionsLH Alert Orb & Session Levels
LH Alert ORB & Sessions is a multi-module intraday trading overlay that combines an Opening Range Breakout (ORB) framework, automated session reference levels, and a “Sniper” alert engine designed to highlight higher-quality momentum entries during a defined New York trading window. It is optimized for index futures—especially NQ/MNQ—and is best used on a 5-minute chart for the intended balance of signal quality and structure clarity.
The indicator plots EMA 10/20/200 and VWAP for trend/mean reference, then generates Sniper Long/Short alerts only when multiple conditions align: directional EMA trend (10 vs 20), reclaim confirmation relative to VWAP and EMA200 within a configurable lookback window, optional “recent cross” validation, and optional RSI and volume expansion filters. To reduce low-quality signals, the Sniper engine includes comprehensive candle-quality rules (minimum body % to avoid dojis, max wick-to-body ratios to avoid wicky indecision candles, hammer-like rejection filtering, and an optional “wick battle” filter that blocks candles where either wick represents an outsized share of the candle range). Alerts can also be gated by proximity to the current ORB and, optionally, require that both VWAP and EMA200 are contained within the opening range to enforce tighter structure-based entries.
The ORB module supports a configurable opening-range duration and an optional custom session (default 08:00–08:15 UTC-5), draws the opening range box, OR High/Low/Mid levels, and optionally displays breakout markers and bias-aware target logic (all breakout signals and targets are disabled by default for a clean chart). Historical ORB drawings can be preserved or hidden based on preference.
In addition, the Sessions module continuously tracks and draws key market structure levels for Asia, London, and PreMarket sessions (High/Low and an average line for each), along with prior trading day high/low using a futures-style trading day definition (rolling at 18:00 New York time). Each level is fully style-customizable (color, line style, width), providing a complete intraday roadmap of session extremes and mean levels alongside the Sniper/ORB framework.
This script is intended for intraday charts only (it enforces a timeframe below 1D) and is designed to be used as an alert-driven decision aid—prioritizing confluence, structure, and candle quality to reduce noise while keeping all major components configurable via grouped settings.
The System THE SYSTEM — Intraday Market Regime & Decision Framework
Overview THE SYSTEM is a closed-source market regime and decision-support framework designed for intraday use, specifically optimized for futures markets. The purpose of the system is not continuous signal generation, but the clear separation of tradable and non-tradable market environments, as well as the statistical reduction of decision-making errors.
Applied Elements and Methodology THE SYSTEM is built upon classical technical indicator families (trend, momentum, and volatility-based calculations); however, it does not use them as standalone indicators or for direct signal generation. The roles of these indicators are functionally separated and organized into a hierarchical decision architecture. These individual elements would not provide a trading signal on their own.
Architecture Overview The operation of the system is based on four mutually validating logical layers:
1. Market Regime Classification The system continuously classifies the market into one of the following states: Trending, Transitional, or Range/Chop. This classification is based on a combination of volatility, momentum, and structure-based measurements. In a Range/Chop state, signal generation is hard-blocked, and the system prohibits trading.
2. Directional Bias Engine (MTF / HTF Validation) Short-term movements are compared against higher-timeframe trend and structural analysis. The system excludes setups that run counter to the dominant direction, reducing the number of counter-trend and false breakout entries. HTF / MTF parameters are user-adjustable; any modifications are at the user's own risk.
3. Momentum & Volatility Filter Signals can only be activated if the current impulse energy exceeds an adaptive threshold and the volatility environment is statistically suitable for intraday trading. This module filters out low-participation moves, exhausted impulses, and noise-driven price fluctuations.
4. Price Action Validation Layer The system also analyzes the internal structure of candles: body-to-wick ratios, closing positions within the range, and impulse continuity. A signal is generated only if the movement is structurally consistent.
Why is it not an Indicator Mashup? THE SYSTEM does not combine indicator values; it builds chains of conditions. A signal can only arise if the market environment is tradable, the direction aligns with the higher timeframe structure, the momentum and volatility are appropriate, and the price action structure is valid. If any layer fails, the system provides no signal. This logic cannot be reproduced by simply merging indicators.
Visual Context Logic The background color is the system's primary decision filter:
🟢 Green – Bullish environment (long-only focus).
🔴 Red – Bearish environment (short-only focus).
⚪ Neutral – Transitional zone; both trend and reversal signals may appear.
⚫ Gray – Range / Chop state; signaling is prohibited.
Technical Characteristics of Signals Long, Short, Early Exit, and Trailing Stop signals may appear intra-bar, but they only become final upon the closing of the candle. The system does not repaint on a closed candle. A yellow signal warns of momentum exhaustion but is non-deterministic and does not appear in all cases.
Optimized Usage
Recommended Timeframe: 5 minutes. Reliability may decrease on lower timeframes due to market noise.
Typical Instruments: Index futures (NQ, ES, YM, RTY), Commodities (Gold, WTI Oil, Copper, Henry Hub Gas), and Crypto (BTC Futures / Perpetuals).
Why is it invite only? The added value is not the existence of the indicators used, but their functional separation, the hierarchical decision logic, and the framework that actively filters out statistically unfavorable trades. The system's goal is not more trades, but fewer, higher-quality decisions.
Disclaimer THE SYSTEM is not an automated strategy but a discretionary decision-support tool. Risk management, position sizing, and trade management are the sole responsibility of the user. Past results do not guarantee future performance.
NY S/R Breakout V1drive.google.com
drive.google.com
Using ATR, VWAP, and RVOL, we can make assumed breakout lines that follow as the price develops, and when a good breakout happens, the lines won't follow but become slightly static to confirm.
The best use I've seen with this indicator is when Price on the 5m closes officially above or below one of the lines, and then shows some bullish push up on the 1m, followed by VWAP price being below price if Bullish, and Above price if Bearish (A good distance is developed for an accurate VWAP)
Please note that this indicator was developed using Google AI.
Please comment on your thoughts, ideas, and improvements to help this indicator grow!
The best settings for this are:
Keep only Long Buffer, short Buffer, and VWAP on
Turn off the ORB High and Low
ATR - 0.3
Relative Volume Threshold - 1.2
These are the settings I found successful for finding confirmed breakouts at 9:30 AM EST, market open
This code was developed by @parischristo67
Coded with Gemini
Dual HTF EMAMulti-timeframe Exponential Moving Average (EMA) indicator plots two separate higher timeframe (HTF) EMAs of your choice. Displays four EMAs per HTF while providing optional background coloring (bullish/bearish). The background coloring occurs when two EMA's cross per HTF. User can select two of the four EMAs to determine the trend direction as they cross creating the background color.
User can configure timeframe, EMA lengths, EMA cross and background, source, and visibility; separately for each timeframe.
Default lengths are 9, 21, 50, 200 with source as closed and EMA cross background from EMA 1 and EMA 3. Also clear visual distinction using thick solid lines for HTF 1 and thin dashed lines for HTF 2.
Uses request.security() with gaps=barmerge.gaps_on to avoid staircase effects on lower timeframes.
This script is ideal for multi-timeframe analysis, helping traders align shorter-term price movements with broader trends from higher timeframes without cluttering the chart.
Market State Tracker🙏🏻 This is MST (Market State Tracker) , it’s main purpose is to tell whether it's better to take a predefined take-profit, or to expect a runner.
Unlike widely-known alternatives, this model is made with top state-space and innovation modelling tech, and it takes the necessary info ‘itself’ (not the derivatives) from the right places. In fancy terms it’s not even a model, it’s an ensemble of several models. If you want to get familiar with other work of mine like this, check UAT .
^^ compared with reverse-engineered Jurik Moving Average in moving window mode
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Main use case : take-profit engine. It tells whether to hold a position past its primary 1:1 Risk:Reward take-profit up to the opposite entry), or to close it right away at 1:1.
Alternative use case : market state operator. Alternatively the study can be used as a primary market-state operator that would actually define further strategies and actions. It’s very useful if your strategies are not market regime agnostic. Otherwise, use it only as the main use case tells.
Other use cases : anything that other mainstream studies are doing, but better* (proceed to the Tech Note in the end of the post): trend detection, price smoothing, crossovers, dynamic S&R etc.
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How to use:
The script has 2 studies, lower study (blue and red lines) and upper study (purple and gray lines).
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Lower study is less variance & more bias option , in general it’s less preferred than upper study, but if none of your other system layers do not gauge directional info directly and you wanna keep it simply this way, this lower study is what you need.
Lower study states -> advised take-profit strategy:
When: negative gamma (red line) is above positive gamma (blue line), market is biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward
When: positive gamma (blue line) is above negative gamma (red line), market is biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward
...
Upper study is the preferred one in general because of its higher informational content. Most probably, if you’re already gaining directional info on your other system layers, this one will likely provide you information you don’t gain there. Here the purple line is the lead state estimate, and the gray line is the lagged state estimate, and current price = current bar POC or HLC3 (inferred POC).
Upper study states -> advised take-profit strategy:
When: current price > purple line > gray line, market is heavily biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward
When: current price < purple line < gray line, market is heavily biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward
When: purple line > gray line > current price, market is biased towards another buy wave, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward
When: purple line < gray line < current price, market is biased towards another sell wave, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward
All other price x purple line x gray line patterns are considered neutral, and both longs and shorts are done with minimal 1:1 Risk:Reward.
Important: if you trade based on current session activity, you have to track current states. If you trade based on previous session levels, you only need the last state of that session that originated the level.
Important 2: The script has a setting called “blend”. The differences between all 3 options provided there are extremely low, and moreover it doesn’t change the main part: location of crossovers. So I left it here because I genuinely don’t know yet which of these is the most primordial math option for the current context xd.
...
* now about this:
Tech note
In short: it gains all the information without touching artifacts with the best possible math that runs on O(1) time complexity.
The ‘final’ time complexity of the whole method is O(1), both in moving and expanding window modes.
The main short-term forecasting & innovations engine, I called it VAPM (Volume Acceleration Price Model) , is inspired by how prediction and NaN fills works on the lowest hardware level, processor cache etc. It’s based on splines , the most fundamental geometrical principles. This is the stuff you can run on FPGAs doing UHFT, not even HFT.
Based on lead/lag and negative/positive relationships with the VAPM forecasts, innovations are separated into 4 different streams.
Each stream of these 4 then discovers its own adaptive gain (limited by theoretical constraints of the exponential distribution each stream follows).
Then, 4 separate PVA (Position Velocity Acceleration) state-space models are run on POC estimate of each bar, using previously computed 4 different adaptive gains. Initial impulse response of the models was almost exactly matched with the Extended Beta(2, 2) Window, provided in UAT open access script (heck the code & description, it would worth it).
Then these 4 separate trackers are grouped pairwise and blended into 2, resulting in the lead/lag model.
Additionally, 4 adaptive gains are blended into 2 separate pos/neg models. I offer 3 blending options: max(), contraharmonic mean, and Log-Sum-Exp. The differences of outputs based on these 3 options are almost negligible.
All possible hidden issues like info leakage from previous finished expanding windows, or special cases of forecasts at the very few first datapoints, are taken into account and solved. The whole method has zero constants and zero pre-optimized or arbitrary values, everything based on fundamental math entities / objects.
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∞
BTC - Power Law 1.5: Dynamic 50/50 Decay OVERVIEW
Most Bitcoin models treat the asset as if it exists in a vacuum of infinite exponential growth. The classical Power Law (v1.0) was a groundbreaking start, but as Bitcoin matures into a multi-trillion dollar institutional asset, our models must account for the laws of physics and liquidity. The Power Law 1.5: Dynamic 50/50 Decay is a second-generation structural engine. It doesn't just draw a line; it calculates the structural "Center of Gravity" of Bitcoin’s adoption curve while accounting for the natural maturation (decay) of the network’s growth speed.
THE MATHEMATICAL BACKBONE: QUANTILE MEDIAN CALCULATION
The "Fair Value" line (blue) is derived using a Log-Log Linear Regression focused on the 50th percentile (Median). The script first transforms the price and the time (days since the Genesis Block) into a logarithmic scale. It then calculates a power-law constant by finding the Absolute Least Deviation across the entire historical dataset since 2011. Specifically, it uses the formula: Price = 10^(Intercept + Slope * log10(Days)) . To ensure the line is a true median, the script calculates the Median Offset of every historical price point from the raw regression line. By shifting the intercept by this median value, we guarantee that exactly 50% of all weekly bars fall above the curve and 50% fall below it, creating a robust, non-biased structural center.
THE ALPHA SHADOW: DYNAMIC EXPONENT PROJECTION
Unlike standard power-law projections that rely on a static slope, the "Alpha Shadow" (the projection extending from the blue backbone) utilizes a Time-Varying Exponent Model . The model acknowledges that Bitcoin's growth speed—the exponent 'b'—is a decaying function of time, reflecting the diminishing returns of a maturing asset. The script recalculated the Instantaneous Slope on every single bar using the formula: Future_Slope = Initial_Slope - (Decay_Rate * log10(Total_Days_from_Genesis)) . While the Decay Rate (default 0.045) serves as a structural sensitivity constant, its application ensures the growth speed is a dynamic variable rather than a fixed number. Each segment of the dashed green "Shadow" is a unique power-law arc calculated for its specific future time window. This ensures the projection isn't just a straight line drawn on a log chart, but a mathematically tethered curve that "feels" the weight of increasing market capitalization and respects the reality of global liquidity constraints as we approach 2029.
HOW TO READ THE CHART
• The Backbone (Solid Blue): This is the 50/50 Fair Value. When price is below this line, Bitcoin is structurally "cheap." When price is far above it, the asset is in a state of cyclical expansion.
• The Alpha Shadow (Green): This is the mathematical projection of the current curve into 2029. It shows the path of "Fair Value" as the network continues to mature.
• The Regime Audit (Dashboard): A real-time table in the middle-right of your chart provides an audit of the model's integrity, including the current slope (b) and the projected Fair Price for Jan 1, 2029.
WHY THIS IS "FRESH"
Most open-source Power Law scripts on TradingView utilize a Static Linear Regression —calculating a single constant slope that is applied equally to 2011 and 2029. Furthermore, common community models often rely on "Outer Band" fitting (connecting historical cycle peaks to cycle lows). While visually appealing, these methods can be highly sensitive to "Black Swan" outliers and often assume Bitcoin’s growth velocity is a permanent constant.
This script stands out by introducing a Maturation Framework . Instead of fitting to volatile extremes, we anchor the logic to a 50/50 Quantile Median , creating a backbone that is mathematically centered regardless of cyclical noise. By then applying a Dynamic Decay Factor to the growth exponent, we move away from the "static bands" approach and toward a model that respects the physical reality of a maturing, multi-trillion-dollar asset class. This provides a structurally grounded, institutional-grade view of Bitcoin’s trajectory that accounts for the diminishing returns inherent in global adoption.
DISCLAIMER
This script is for educational and macro-analytical purposes only. It does not constitute financial advice. The 2029 projection is a mathematical extrapolation based on historical data and decay constants; it is not a guarantee of future price action.
TAGS
bitcoin, powerlaw, macro, regression, fairvalue, btc, projection, quantitative, math, structural, Rob Maths, robmaths, Rob_Maths
Sector Rotation Dashboard (Beta)🎯 OVERVIEW
The Sector Rotation Indicator is a comprehensive real-time dashboard that tracks money flow across all 11 S&P 500 sector ETFs and 6 major macro assets. It automatically detects market regimes (Risk-On, Risk-Off, Tech-Led), flags anomalies, and shows you where institutional money is flowing.
Whether you're trading individual stocks, sector ETFs, or managing a portfolio, this indicator tells you:
• Which sectors are leading/lagging (ranked by relative strength)
• What market regime we're in (Risk-On, Risk-Off, Tech-Led, Mixed)
• Where the anomalies are (sectors behaving unexpectedly)
• How confident the signals are (based on cross-sector confirmation)
• What sector ETF the current chart ticker belongs to, if any (with rank and RS%)
🚧 BETA NOTICE
⚠️ This indicator is currently in BETA.
IMPORTANT - ETF Holdings Database:
• The 500+ stock-to-sector mappings are based on actual ETF holdings
• SPDR sector ETFs rebalance quarterly (3rd Friday of Mar/Jun/Sep/Dec)
• Holdings data requires MANUAL updating by the creator after each rebalance
• Users may experience DELAYS in data updates following rebalance dates
• Some newly added or removed stocks may be temporarily misclassified
📊 WHAT IT TRACKS
11 SPDR Sector ETFs:
• XLE (Energy) - Cyclical
• XLF (Financials) - Cyclical
• XLI (Industrials) - Cyclical
• XLY (Consumer Discretionary) - Cyclical
• XLB (Materials) - Cyclical
• XLK (Technology) - Growth
• XLC (Communication Services) - Growth
• XLV (Healthcare) - Defensive
• XLP (Consumer Staples) - Defensive
• XLU (Utilities) - Defensive
• XLRE (Real Estate) - Defensive
6 Macro Assets:
• GLD (Gold) - Safe Haven
• TLT (20+ Year Treasuries) - Safe Haven
• UUP (US Dollar Index) - Currency
• DBC (Commodities) - Risk/Inflation
• EEM (Emerging Markets) - Risk Appetite
• IBIT (Bitcoin) - Speculative
🔥 KEY FEATURES
1️⃣ Real-Time Sector Rankings
• All 11 sectors ranked by Relative Strength (RS) vs SPX
• Dual color coding: Background = RS, Text = Absolute performance
• Trend arrows showing momentum (↑↑, ↑, →, ↓, ↓↓)
• Rank change tracking with configurable alert threshold
2️⃣ Intelligent Regime Detection
• Risk-On: Cyclicals leading (XLE, XLF, XLI, XLY, XLB)
• Risk-Off: Defensives leading (XLV, XLP, XLU, XLRE)
• Tech-Led: Growth dominating (XLK, XLC)
• Mixed: No clear leadership
• High Volatility: Signals unreliable
3️⃣ Anomaly Detection System
• Flags sectors that jump/drop 3+ ranks
• Detects behavioral anomalies (e.g., Energy #1 in Risk-Off)
• High volatility warnings when multiple sectors show extreme moves
• Dynamic tooltips explain WHY each anomaly is flagged
4️⃣ Confidence Scoring
• Counts how many sectors confirm the current regime
• High (7+), Medium (5-6), Low (<5) confidence levels
• Shows exactly which sectors are confirming vs diverging
5️⃣ Current Ticker Classification
• Built-in database of 500+ stock tickers mapped to sector ETFs
• Shows your current chart's sector, rank, and RS
• Dual classification: ETF Holdings + TradingView (mismatch detection)
6️⃣ Macro Cross-Asset Flow
• Tracks 6 macro assets for broader market context
• Interprets flows: Risk-Off Flow, Risk-On Flow, Flight to Safety
• Equity outflow warnings when safe havens beat SPX significantly
7️⃣ Educational Tooltips
• Hover over ANY cell for detailed explanations
• Dynamic tooltips show live data + educational context
• Learn what drives each signal while you trade
📖 HOW TO READ THE DASHBOARD
Sector Panel:
• Green background = Outperforming SPX (positive RS)
• Red background = Underperforming SPX (negative RS)
• Green text = Positive absolute return
• Red text = Negative absolute return
• Δ column shows rank changes (⚠️ = significant move)
Interpretation Panel:
• ROTATION → Describes current sector movement pattern
• REGIME → Current market environment classification
• ALERT → Anomalies detected or "All Clear" status
• CONFIDENCE → Signal reliability score with breakdown
Macro Panel:
• Signal column: Strong > Bid > Neutral > Offered > Weak
• FLOW row: Summary of cross-asset money movement
⚙️ SETTINGS & RECOMMENDATIONS
PRIMARY TIMEFRAME (days) - Default: 20
Lookback period for RS calculation.
• 5-10 days: Day/swing traders - responsive but noisier
• 20 days: Most traders - good balance of signal vs noise ⭐
• 50 days: Position traders - smooth, confirms established trends
• 100+ days: Investors - major regime shifts only
Tip: Match to your typical holding period.
TREND TIMEFRAME (days) - Default: 5
Shorter lookback for momentum arrows (↑↑ ↑ → ↓ ↓↓).
• 3 days: Aggressive - more sensitive, more arrow changes
• 5 days: Most traders - catches momentum shifts without whipsaws ⭐
• 10 days: Conservative - smoother, fewer false reversals
Tip: Keep at 1/4 to 1/5 of Primary Timeframe.
ALERT THRESHOLD (ranks) - Default: 3
Minimum rank change to trigger ⚠️ anomaly alert.
• 2 ranks: Active traders - more alerts, catches smaller rotations
• 3 ranks: Most traders - significant moves only (e.g., #8→#5) ⭐
• 4-5 ranks: Swing/position - major disruptions only, high conviction
Tip: Lower = more alerts, Higher = fewer but stronger signals.
RECOMMENDED COMBINATIONS BY TRADING STYLE:
• Day Trading: Primary 10, Trend 3, Alert 2
• Swing Trading: Primary 20, Trend 5, Alert 3
• Position Trading: Primary 50, Trend 10, Alert 4
• Long-term Investing: Primary 100, Trend 20, Alert 5
OTHER SETTINGS:
• 44+ color and opacity controls for full customization
• Dark/Light theme support
• Compact view (Top 3 + Bottom 3) or Full view (all 11)
• Show/hide interpretation panel
🚨 BUILT-IN ALERTS
• Sector rotation changes (Cyclical ↔ Defensive)
• Regime changes (Risk-On ↔ Risk-Off ↔ Tech-Led)
• Large rank movements (configurable threshold)
• Equity outflow detection
• Safe haven bid alerts
• Global risk-on signals
💡 TRADING APPLICATIONS
For Stock Traders:
• See if your stock's sector is leading or lagging
• Avoid fighting the sector trend
• Find stocks in leading sectors for momentum plays
For Sector Rotators:
• Identify rotation early with rank change alerts
• Confirm regime with confidence scoring
• Spot anomalies that may signal turning points
For Portfolio Managers:
• Monitor risk-on/risk-off positioning
• Track cross-asset correlations
• Get early warning of defensive rotations
For Macro Traders:
• Cross-reference sector rotation with macro flows
• Identify flight-to-safety episodes
• Track inflation hedge positioning
📝 TECHNICAL NOTES
• Data Source: TradingView sector data + custom ETF holdings database
• ETF Holdings: 500+ tickers mapped to sector ETFs (manually maintained)
• Rebalancing: SPDR ETFs rebalance on 3rd Friday of Mar/Jun/Sep/Dec
• Best Timeframe: Daily recommended, works on all timeframes
• Performance: Optimized for minimal lag despite tracking 17 assets
• Pine Script: Version 6
⚠️ DATA UPDATE SCHEDULE:
The ETF holdings database is manually updated by the creator following each quarterly rebalance. Updates are typically completed within 1-2 weeks after the official rebalance date. During this period, some ticker classifications may be outdated. The indicator will fall back to TradingView's sector classification for any tickers not found in the database.
⚠️ DISCLAIMER
This indicator is currently in BETA. Features may change, and bugs may exist.
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and consider your risk tolerance before making trading decisions. Past performance does not guarantee future results.
True FVGsThis script highlights 3-candle Fair Value Gaps (FVGs) on your chart, showing areas where price moved quickly and left potential gaps in market structure. Bullish FVGs are shown with green boxes and suggest possible support, while bearish FVGs are shown with red boxes and suggest possible resistance. It also includes doji candles—very small-bodied candles that indicate indecision—so these patterns are not missed. The script displays the most recent 5 FVGs, making it easy to spot recent potential areas where price may react.
Ghost Protocol [Bit2Billions]📌 Ghost Protocol — RSI Percentile Momentum Engine
Ghost Protocol is a closed-source RSI momentum indicator built around a non-standard RSI calculation method designed to solve a core limitation of traditional RSI tools: fixed threshold bias.
Standard RSI uses static levels (30/70 or 20/80), which assume all markets, assets, and volatility regimes behave the same. In practice, this causes false signals, late divergences, and inconsistent momentum interpretation.
Ghost Protocol replaces fixed RSI thresholds with a percentile-ranked RSI distribution model, allowing momentum to be evaluated relative to its own historical behavior rather than absolute levels.
📌 Core Calculation Method (Non-Standard RSI Implementation)
Instead of interpreting RSI using fixed values, Ghost Protocol evaluates RSI using:
* A rolling RSI distribution
* Percentile ranking of RSI values within that distribution
* Volatility-aware normalization of momentum extremes
This means:
* “Overbought” and “oversold” conditions are defined by relative momentum rarity, not static numbers.
* RSI adapts automatically to different instruments and volatility regimes.
* Momentum signals remain consistent across markets without manual tuning.
This calculation method cannot be replicated using built-in RSI alone, as built-ins do not provide percentile-based RSI context or distribution awareness.
📌 How the Components Work Together
All modules in Ghost Protocol reference the same percentile-based RSI state:
1. Percentile RSI Core defines momentum pressure relative to historical distribution.
2. Divergence Detection compares price swings against percentile-ranked RSI swings, reducing false signals caused by static RSI levels.
3. Trend & Regime Filtering evaluates whether momentum is expanding, compressing, or exhausting based on percentile persistence rather than crossings.
4. Multi-Timeframe Alignment compares percentile RSI states across timeframes using normalized momentum, not raw RSI values.
Because every component references the same normalized RSI context, signals confirm or invalidate each other instead of conflicting.
📌 What Problem This Script Solves
Ghost Protocol is designed for traders who struggle with:
* RSI behaving differently across assets
* Fixed OB/OS levels failing in trending markets
* Divergences appearing too late or inconsistently
* Multiple RSI tools giving contradictory signals
* Manual RSI calibration per instrument
By using percentile-based RSI logic, Ghost Protocol provides:
* Consistent momentum interpretation
* Regime-aware RSI behavior
* Contextual divergence detection
* Cleaner, more reliable momentum structure
📌 How Traders Use Ghost Protocol
Ghost Protocol is not a signal generator.
Traders use it to:
* Identify momentum expansion vs exhaustion
* Evaluate divergence strength in context
* Confirm trend continuation or weakening pressure
* Align momentum across timeframes
All outputs are designed for decision context, not automated entries.
📌 Why This Script Is Original
Ghost Protocol does not modify RSI visually—it redefines how RSI is interpreted.
Originality comes from:
* Percentile-based RSI evaluation
* Distribution-aware momentum logic
* Contextual divergence validation
* Unified RSI state shared across all modules
This approach cannot be reproduced by stacking public RSI indicators or using built-in thresholds.
📌 Why This Script Is Invite-Only
Ghost Protocol is offered as a closed-source script because its value lies in the calculation model, not the visual elements.
The script replaces:
* Manual RSI tuning
* Multiple RSI variants
* Separate divergence tools
* Multi-timeframe RSI comparisons
This level of consistency and normalization requires proprietary logic and is therefore provided as an invite-only indicator.
📌 Key Components & Intent
#RSI Candles (Standard & Heikin-Ashi)
Purpose: clearer momentum transitions and divergence readability.
#Divergence Engine
Detects:
• Regular divergence
• Hidden divergence
• Ghost Candidate pre-divergence
Purpose: identify exhaustion before price confirmation.
#Adaptive RSI Zones
Zones adjust based on:
• Volatility
• Displacement
• Trend direction
Purpose: eliminate static OB/OS bias.
#RSI Ichimoku Cloud
Shows:
• Regime bias
• Momentum compression/expansion
• Equilibrium shifts
Purpose: identify internal RSI regime transitions.
#RSI Trendlines
Automatically maps momentum structure.
Purpose: remove manual RSI drawing.
#Relative Trend Index
Evaluates trend alignment across multiple timeframes.
📌 Dashboard Metrics (Contextual, Not Signal-Based)
Provides a consolidated view of:
• Volatility
• Volume
• VWAP vs price
• EMA sentiment and structure
• RSI and price OB/OS statistics
• Relative trend alignment
• ATR state and trailing stop context
Purpose: decision context, not trade automation.
📌 Visual Design & Usability
• Only real-time labels are displayed
• Historical clutter is hidden
• Consistent color and line hierarchy
• Clear distinction between divergence types and momentum states
This design supports institutional-style momentum reading, not signal spam.
📌 Summary
Ghost Protocol is a closed-source, invite-only RSI intelligence system built on original logic.
Its mashup structure is intentional, necessary, and justified, because it solves real RSI limitations that cannot be addressed by isolated tools.
This script delivers clear analytical value, coherent momentum interpretation, and a professional workflow worthy of a paid publication.
📌 Recommended Use
* Best on: 15m, 1H, 4H, Daily, Weekly
* Works across: crypto, forex, indices, liquid equities
* Pivot-style modules may show noise in illiquid markets
📌 Performance Notes
* Heavy modules may draw many objects → disable unused tools
* Refresh chart if buffer limits are approached
* Internal handling of TradingView object rules
📌 License
* Proprietary script © 2025
* Independently developed
* Redistribution, sharing, resale, or decompilation prohibited
* Similarities to public tools result only from shared market concepts
📌 Respect & Transparency
Built using widely-recognized RSI concepts, but extended with proprietary logic.
Developed with respect for the TradingView community.
Any overlaps can be addressed openly and constructively.
📌 Disclaimer
For educational and research use only.
Not financial advice.
Always test responsibly and manage risk.
📌 FAQs
* Source code is intentionally private
* Modules can be toggled
* Alerts can be configured manually
* Works on all major markets and timeframes
📌 About Ghost Trading Suite
Author: BIT2BILLIONS
Project: Ghost Trading Suite © 2025
Indicators: Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow
Strategies: Ghost Robo, Ghost Robo Plus
Pine Version: V6
The Ghost Trading Suite is designed to simplify and automate many aspects of chart analysis. It helps traders identify market structure, divergences, support and resistance levels, and momentum efficiently, reducing manual charting time.
The suite includes several integrated tools — such as Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow, Ghost Robo, and Ghost Robo Plus — each combining analytical modules for enhanced clarity in trend direction, volatility, pivot detection, and momentum tracking.
Together, these tools form a cohesive framework that assists in visualizing market behavior, measuring momentum, detecting pivots, and analyzing price structure effectively.
This project focuses on providing adaptable and professional-grade tools that turn complex market data into clear, actionable insights for technical analysis.
Crafted with 💖 by BIT2BILLIONS for Traders. That's All Folks!
📌 Changelog
v1.0 – Initial Release
* Added RSI Candles (Standard & Heiken-Ashi) for enhanced trend and divergence clarity.
* Implemented Divergence Engine to highlight both regular and hidden divergences automatically.
* Introduced Live Ghost Candidates to visualize forming divergence setups.
* Added Adaptive RSI Zones for dynamic overbought and oversold thresholds.
* Integrated Trend Index using percentile volatility sampling for directional bias.
* Added RSI Ichimoku Cloud for equilibrium and momentum zone visualization.
* Implemented RSI Trend Lines for auto support/resistance on RSI.
* Added Momentum Shift Visualization and real-time momentum tracking.
* Introduced Relative Trend Index for multi-timeframe trend strength analysis.
* Developed Dashboard Module displaying volatility, volume, EMA trends, RSI/price overbought-oversold percentages, relative trend, and ATR-based metrics.
V3 Multi-MA MTF Full (by RUG)This Multiple Moving Averages (MA) indicator lets you plot and compare several moving averages on the same chart to quickly read trend direction and momentum. You can configure up to 10 MAs, choosing each one’s type (for example, SMA or EMA), length (periods), and—most importantly—its own independent timeframe (for instance, a 9-period EMA on the daily timeframe while you’re viewing a 15-minute chart). This creates a clean “context layer” that blends short-, mid-, and long-term trends, helping you spot trend alignment, dynamic support/resistance zones, and key crossovers without constantly switching timeframes.
SilverHawk Flip Confirm (4-Step)This premium indicator identifies high-probability trend flips using a 4-step confirmation sequence (Sweep → Displacement → BOS → Retest/Hold) with zone-based filters.
Core logic & how it works:
- Step 1 (Sweep): price wicks through a recent Supply/Demand area or Order Block (ATR-buffered)
- Step 2 (Displacement): strong candle body (ATR size + min body %) after sweep
- Step 3 (BOS): price breaks previous swing high/low
- Step 4 (Retest + Hold): price retests the entry zone (OB or S&D area) without breaking opposite side
- Zone modes: Hybrid (S&D area + OB entry), Supply/Demand only, or Order Block only
- Non-repainting option (confirmed bars only)
- Timeout: max bars between steps to avoid stale setups
Features:
- Visual zones (boxes) for S&D areas & OBs (toggleable)
- Step labels (Sweep/Disp/BOS/Retest) on signal candles
- Small panel with current steps, confidence %, and perfect sequence reminder
- Alerts for full flip confirmation + individual steps
- Customizable zone padding, pivot lengths, ATR buffers
Settings:
- Zone Mode: Hybrid, Supply & Demand only, Order Block only
- Use Confirmed Bars Only: non-repainting toggle
- Max Bars Between Steps: timeout for sequence
- Pivot lengths for S&D and BOS
- ATR multipliers for sweep buffer, displacement, padding, retest tolerance
- Visuals: show zones/labels/panel
- Alerts: enable/disable full flip + step triggers
Best used on H1–D4 timeframes in Forex or indices for spotting trend reversals or continuations after liquidity sweeps. Combine with higher-timeframe structure and risk management.
Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
SilverHawk HTF Alignment Panel ProThis premium dashboard displays multi-timeframe trend alignment, confidence score, regime, and risk assessment in a single, easy-to-read panel.
Core calculation & how it works:
- Trend direction: user-selectable engine (EMA cross, price vs EMA, Supertrend)
- Strength %: EMA spread relative to historical max
- Volume %: current RVOL vs average
- Volatility %: current ATR vs historical max
- Momentum %: RSI(14)
- Confidence %: weighted blend of strength, volume, volatility, momentum
- Regime: expansion (high vola + strength), compression (low vola + strength), normal
- Alignment %: agreement between chart TF trend + 2 higher TFs
- Gate: pass if at least 2 TFs align
- Risk Load: ATR relative to distance from slow EMA
- Quality (A/B/WAIT): final score based on confidence, alignment, risk, regime
Features:
- Color-coded table (bullish green, bearish red, neutral gray)
- Customizable location (top/bottom left/right)
- Optional info column explaining each metric
- Optional manual reference panel
- High-performance rendering (fixed rows/columns)
Settings:
- Dashboard Location: top-left/right, bottom-left/right
- Trend Engine: EMA Cross, Price vs EMA, Supertrend
- EMA lengths, Supertrend period/factor
- Lookbacks for strength, volume, volatility
- Weights for confidence calculation
- Style: header/row colors, text color, border
- Extras: show manual panel, show info column
Best used on H1–D1 timeframes in Forex or indices for quick multi-timeframe assessment and decision support. Combine with structure, volume confirmation and risk management.
Invite-only access. Educational tool only. Not financial advice. Trading involves risk.
PSAR Laboratory [DAFE]PSAR Laboratory : The Ultimate Adaptive Trailing Stop & Reversal Engine
23 Advanced Algorithms. Adaptive Acceleration. Smart Flip Logic. Parabolic SAR Reimagined.
█ PHILOSOPHY: WELCOME TO THE LABORATORY
The standard Parabolic SAR, created by the legendary J. Welles Wilder Jr., is a tool of beautiful simplicity. But in today's complex, algorithm-driven markets, its simplicity is its fatal flaw. Its fixed acceleration and rigid flip logic cause it to fail precisely when you need it most: it whipsaws in choppy conditions and gives back too much profit in strong trends.
The PSAR Laboratory was not created to be just another PSAR. It was engineered to be the definitive evolution of Wilder's original concept. This is not an indicator; it is a powerful, interactive research environment. It is a sandbox where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a PSAR that is perfectly adapted to your specific market, timeframe, and trading style.
We have deconstructed the very DNA of the Parabolic SAR and rebuilt it from the ground up, infusing it with modern quantitative techniques. The result is an institutional-grade suite of 23 distinct, mathematically diverse algorithms that dynamically control every aspect of the PSAR's behavior.
█ WHAT MAKES THIS A "LABORATORY"? THE CORE INNOVATIONS
This tool stands in a class of its own. It is a collection of what could be 23 separate indicators, all seamlessly integrated into one powerful engine.
The 23 Algorithm Engine: This is the heart of the Laboratory. Instead of one rigid formula, you have a library of 23 unique mathematical engines at your command. These algorithms are not simple tweaks; they are complete re-imaginings of how the PSAR should behave, based on concepts from information theory, digital signal processing, fractal geometry, and institutional analysis.
Truly Adaptive Acceleration (AF): The standard PSAR's "gas pedal" (the AF) is dumb; it accelerates at a fixed rate. Our algorithms make it intelligent. The AF can now speed up in clean, trending environments to lock in profits, and automatically slow down in choppy, chaotic conditions to avoid whipsaws.
Advanced Flip Confirmation Logic: Say goodbye to noise-driven flips. You are no longer at the mercy of a single wick touching the SAR. The Laboratory provides multiple layers of flip confirmation, including requiring a bar close beyond the SAR, a volume spike to validate the reversal, or even a multi-bar confirmation .
Comprehensive Noise Filtering Core: In a revolutionary step, you can apply one of over 30 advanced signal processing filters directly to the SAR output itself. From ultra-low-lag filters like the Hull MA and DAFE Spectral Laguerre to adaptive filters like KAMA and FRAMA , you can surgically remove noise while preserving the responsiveness of the core signal.
Integrated Performance Engine: How do you know which of the 23 algorithms is best for your market? You test it. The built-in Performance Dashboard is a comprehensive backtesting and analytics engine that tracks every trade, providing real-time data on Win Rate, Profit Factor, Max Drawdown, and more. It allows you to scientifically validate your chosen configuration.
█ A GUIDED TOUR OF THE ALGORITHMS: 23 PATHS TO AN EDGE
b]These 23 algorithms are not simple settings; they are distinct mathematical philosophies for how a Parabolic SAR should adapt to the market. They are grouped into three primary categories: those that adapt the Acceleration Factor (AF) , those that enhance the Extreme Point (EP) detection, and those that redefine the Flip Logic .
CATEGORY A: ACCELERATION FACTOR (AF) ADAPTATION
These algorithms dynamically change the "gas pedal" of the PSAR.
1. Volatility-Scaled AF
Core Concept: Treats volatility as market friction. The PSAR should be more forgiving in high-volatility environments.
How It Works: It calculates a Volatility Ratio by comparing the short-term ATR to the long-term ATR. If current volatility is high (ratio > 1), it reduces the AF Step. If volatility is low (ratio < 1), it increases the AF Step to trail tighter.
Ideal Use Case: The best all-rounder. Excellent for any market, especially those with clear shifts between high and low volatility regimes (like indices and crypto).
2. Efficiency Ratio (ER) AF
Core Concept: The PSAR should accelerate aggressively in clean, efficient trends and slow down dramatically in choppy, inefficient markets.
How It Works: It uses Kaufman's Efficiency Ratio (ER), which measures the net directional movement versus the total price movement. A high ER (near 1.0) signifies a pure trend, triggering a high AF multiplier. A low ER (near 0.0) signifies chop, triggering a low AF multiplier.
Ideal Use Case: Markets that alternate between strong trends and sideways chop. It is exceptionally good at surviving ranging periods.
3. Shannon Entropy AF
Core Concept: Uses Information Theory to measure market disorder. The PSAR should be conservative in chaos and aggressive in order.
How It Works: It calculates the Shannon Entropy of recent price changes. High entropy means the market is unpredictable ("chaotic"), causing the AF to slow down. Low entropy means the market is organized and trending, causing the AF to speed up.
Ideal Use Case: Advanced traders looking for a mathematically pure way to distinguish between a tradable trend and random noise.
4. Fractal Dimension (FD) AF
Core Concept: Measures the "jaggedness" or complexity of the price path. A smooth path is a trend; a jagged, space-filling path is chop.
How It Works: It calculates the Fractal Dimension of the price series. An FD near 1.0 is a smooth line (high AF). An FD near 1.5 is a random walk (low AF).
Ideal Use Case: Visually identifying the moment a smooth trend begins to break down into chaotic, unpredictable movement.
5. ADX-Gated AF
Core Concept: Uses the classic ADX indicator to confirm the presence of a trend before allowing the PSAR to accelerate.
How It Works: If the ADX value is above a "Strong" threshold (e.g., 25), the AF accelerates normally. If the ADX is below a "Weak" threshold (e.g., 15), the AF is "frozen" and will not increase, preventing the SAR from tightening up in a non-trending market.
Ideal Use Case: For classic trend-following purists who trust the ADX as their primary regime filter.
6. Kalman AF Estimator
Core Concept: A sophisticated signal processing algorithm that predicts the "true" optimal AF by filtering out price "noise."
How It Works: It treats the PSAR's AF as a state to be estimated. It makes a prediction, then corrects it based on how far the actual price deviates. It's like a GPS constantly refining its position. The "Process Noise" input controls how fast it thinks the AF can change, while "Measurement Noise" controls how much it trusts the price data.
Ideal Use Case: Smooth, high-inertia markets like commodities or major forex pairs. It creates an incredibly smooth and responsive AF.
7. Volume-Momentum AF
Core Concept: A trend's acceleration is only valid if confirmed by both volume and price momentum.
How It Works: The AF will only increase if a new Extreme Point is made on above-average volume AND the Rate of Change (ROC) of the price is aligned with the trend's direction.
Ideal Use Case: Any market with reliable volume data (stocks, futures, crypto). It's excellent for filtering out low-conviction moves.
8. Garman-Klass (GK) AF
Core Concept: Uses a more advanced, statistically efficient measure of volatility (Garman-Klass, which uses OHLC data) to adapt the AF.
How It Works: It modulates the AF based on whether the current GK volatility is higher or lower than its historical average. Unlike the standard Volatility-Scaled algo, it tends to slow down more in high volatility and speed up less in low volatility, making it more conservative.
Ideal Use Case: Traders who want a volatility-adaptive model that is more focused on risk reduction during volatile periods.
9. RSI-Modulated AF
Core Concept: The RSI can identify points of potential trend exhaustion or strong momentum.
How It Works: If a trend is bullish but the RSI enters the "Overbought" zone, the AF slows down, anticipating a pullback. Conversely, if the RSI is in the strong momentum mid-range (40-60), the AF is boosted to trail more aggressively.
Ideal Use Case: Mean-reversion traders or those who want to automatically loosen their trail stop near potential exhaustion points.
10. Bollinger Squeeze AF
Core Concept: A Bollinger Band Squeeze signals a period of volatility compression, often preceding an explosive breakout.
How It Works: When the algorithm detects that the Bollinger Band Width is in a "Squeeze" (below a certain historical percentile), it boosts the AF in anticipation of a fast move, allowing the PSAR to catch the breakout quickly.
Ideal Use Case: Breakout traders. This algorithm primes the PSAR to be maximally responsive right at the moment a breakout is most likely.
11. Keltner Adaptive AF
Core Concept: Keltner Channels provide a robust measure of a trend's "normal" volatility channel.
How It Works: When price is trading strongly outside the Keltner Channel, it's considered a powerful trend, and the AF is boosted. When price falls back inside the channel, it's considered a consolidation or pullback, and the AF is slowed down.
Ideal Use Case: Trend followers who use channel breakouts as their primary confirmation.
12. Choppiness-Gated AF
Core Concept: Uses the Choppiness Index to quantify whether the market is trending or consolidating.
How It Works: If the Choppiness Index is below the "Trend" threshold (e.g., 38.2), the AF is boosted. If it's above the "Range" threshold (e.g., 61.8), the AF is significantly reduced.
Ideal Use Case: A more responsive alternative to the ADX-Gated algorithm for distinguishing between trending and ranging markets.
13. VIDYA-Style AF
Core Concept: Uses a Chande Momentum Oscillator (CMO) to create a variable-speed acceleration factor.
How It Works: The absolute value of the CMO is used to create a dynamic smoothing constant. Strong momentum (high absolute CMO) results in a faster, more responsive AF. Weak momentum results in a slower, smoother AF.
Ideal Use Case: Momentum traders who want their trailing stop's speed directly tied to the momentum of the price itself.
14. Hilbert Cycle AF
Core Concept: Uses Ehlers' Hilbert Transform to extract the dominant cycle period of the market and synchronizes the PSAR with it.
How It Works: It dynamically adjusts the AF based on the detected cycle period (shorter cycles = faster AF) and can also modulate it based on the current phase within that cycle (e.g., accelerate faster near cycle tops/bottoms).
Ideal Use Case: Markets with clear cyclical behavior, like commodities and some forex pairs.
CATEGORY B: EXTREME POINT (EP) ENHANCEMENT
These algorithms make the detection of new highs/lows more intelligent.
15. Volume-Weighted EP
Core Concept: A new high or low is more significant if it occurs on high volume.
How It Works: It can be configured to only accept a new EP if the volume on that bar is above average. It can also "weight" the EP by volume, pushing it further out on high-volume bars.
Ideal Use Case: Filtering out weak, low-conviction price probes in markets with reliable volume.
16. Wavelet Filtered EP
Core Concept: Uses wavelet decomposition (a signal processing technique) to separate the underlying trend from high-frequency noise.
How It Works: It calculates a smoothed, wavelet-filtered version of the price. A new EP is only registered if the actual high/low significantly exceeds this smoothed baseline, effectively ignoring minor noise spikes.
Ideal Use Case: Noisy markets where small, insignificant wicks can cause the AF to accelerate prematurely.
17. ATR-Validated EP
Core Concept: A new EP should represent a meaningful move, not just a one-tick poke.
How It Works: It requires a new high/low to exceed the previous EP by a minimum amount, defined as a multiple of the current ATR. This ensures only volatility-significant advances are counted.
Ideal Use Case: A simple, robust way to filter out "noise" EPs and slow down the AF's acceleration in choppy conditions.
18. Statistical EP Filter
Core Concept: A new EP is only valid if the price change that created it is statistically significant.
How It Works: It calculates the Z-Score of the bar's price change relative to recent history. A new EP is only accepted if its Z-Score exceeds a certain threshold (e.g., 1.5 sigma), meaning it was an unusually strong move.
Ideal Use Case: For quantitative traders who want to ensure their trailing stop only tightens in response to statistically meaningful price action.
CATEGORY C: FLIP LOGIC & CONFIRMATION
These algorithms change the very rules of when and why the PSAR reverses.
19. Dual-PSAR Gate
Core Concept: Uses two PSARs—one fast and one slow—to confirm a reversal.
How It Works: A flip signal for the main PSAR is only considered valid if both the fast (sensitive) PSAR and the slow (structural) PSAR have flipped. This acts as a powerful trend filter.
Ideal Use Case: An excellent method for reducing whipsaws. It forces the PSAR to wait for both short-term and longer-term momentum to align before signaling a reversal.
20. MTF Coherence PSAR
Core Concept: Do not flip against the higher timeframe macro trend.
How It Works: It pulls PSAR data from two higher timeframes. A flip is only allowed if the new direction does not contradict the trend on at least one (or both) of those higher timeframes. It also boosts the AF when all timeframes are aligned.
Ideal Use Case: The ultimate tool for multi-timeframe traders who want to ensure their entries and exits are in sync with the bigger picture.
21. Momentum-Gated Flip
Core Concept: A reversal is only valid if it is supported by a significant surge of momentum.
How It Works: A price cross of the SAR is not enough. The script also requires the Rate of Change (ROC) to exceed a certain threshold for a set number of bars, confirming that there is real force behind the reversal.
Ideal Use Case: Filtering out weak, drifting reversals and only taking signals that are initiated with explosive power.
22. Close-Only PSAR
Core Concept: Wicks are noise; the bar's close is the final decision.
How It Works: This algorithm modifies the flip logic to ignore wicks. A flip only occurs if one or more bars close beyond the SAR line.
Ideal Use Case: One of the most effective and simple ways to reduce false signals from volatile wicks. A fantastic default choice for any trader.
23. Ultimate PSAR Consensus
Core Concept: The highest conviction signal comes from the agreement of multiple, diverse mathematical models.
How It Works: This is the capstone algorithm. It runs a "vote" between a selection of the top-performing algorithms (e.g., Volatility-Scaled, Efficiency Ratio, Dual-PSAR). A flip is only signaled if a majority consensus is reached. It can even weight the votes based on each algorithm's recent performance.
Ideal Use Case: For traders who want the absolute highest level of confirmation and are willing to accept fewer, but more robust, signals.
█ PART II: THE NOISE FILTERING CORE - The Shield
This is a revolutionary feature that allows you to apply a second layer of signal processing directly to the SAR line itself, surgically removing noise before the flip logic is even considered.
FILTER CATEGORIES
Basic Filters (SMA, EMA, WMA, RMA): The classic moving averages. They provide basic smoothing but introduce significant lag. Best used for educational purposes.
Low-Lag Filters (DEMA, TEMA, Hull MA, ZLEMA): A family of filters designed to reduce the lag inherent in basic moving averages. The Hull MA is a standout, offering a superb balance of smoothness and responsiveness.
Adaptive Filters (KAMA, VIDYA, FRAMA): These are "smart" filters. They automatically adjust their smoothing level based on market conditions. They will be very smooth in choppy markets and become highly responsive in trending markets.
Advanced DSP & DAFE Filters: This is the pinnacle of signal processing.
Ehlers Filters (SuperSmoother, 2-Pole, 3-Pole): Based on the work of John Ehlers, these use digital signal processing techniques to remove high-frequency noise with minimal lag.
Gaussian & ALMA: These use a bell-curve weighting, giving the most importance to recent data in a smooth, non-linear fashion.
DAFE Spectral Laguerre: A proprietary, non-linear filter that uses a feedback loop and adapts its "gamma" based on volatility, providing exceptional tracking in all market conditions.
How to Choose a Filter
Start with "None": First, find an algorithm you like with no filtering to understand its raw behavior.
Introduce Low Lag: If you are getting too many whipsaws from noise, apply a short-length Hull MA (e.g., 5-8). This is often the best solution.
Go Adaptive: If your market has very distinct trend/chop regimes, try an Adaptive KAMA .
Maximum Purity: For the smoothest possible output with excellent responsiveness, use the DAFE Spectral Laguerre or Ehlers SuperSmoother .
█ THE VISUAL EXPERIENCE: DATA AS ART
The PSAR Laboratory is not just functional; it is beautiful. The visualization engine is designed to provide you with an intuitive, at-a-glance understanding of the market's state.
Algorithm-Specific Theming: Each of the 23 algorithms comes with its own unique, professionally designed color palette. This not only provides visual variety but allows you to instantly recognize which engine is active.
Dynamic Glow Effects: For many algorithms, the PSAR dots will emit a soft "glow." The brightness and color of this glow are not random; they are tied to a key metric of the active algorithm (e.g., trend strength, volatility, consensus), providing a subtle, visual cue about the health of the trend.
Adaptive Volatility Bands: Certain algorithms will display dynamic bands around the PSAR. These are not standard deviation bands; their width is controlled by the specific logic of the active algorithm, showing you a visual representation of the market's expected range or energy level.
Secondary Reference Lines: For algorithms like the Dual-PSAR or MTF Coherence, a secondary line will be plotted on the chart, giving you a clear visual of the underlying data (e.g., the slow PSAR, the HTF trend) that is driving the decision-making process.
█ THE MASTER DASHBOARD: YOUR MISSION CONTROL
The comprehensive dashboard is your unified command center for analysis and performance tracking.
Engine Status: See the currently selected Algorithm, the active Noise Filter, the Trend direction, and a real-time progress bar of the current Acceleration Factor (AF).
Algorithm-Specific Metrics: This is the most powerful section. It displays the key real-time data from the currently active algorithm. If you're using "Shannon Entropy," you'll see the Entropy score. If you're using "ADX-Gated," you'll see the ADX value. This gives you a direct, quantitative look under the hood.
Performance Readout: When enabled, this section provides a full breakdown of your backtesting results, including Win Rate, Profit Factor, Net P&L, Max Drawdown, and your current trade status.
█ DEVELOPMENT PHILOSOPHY
The PSAR Laboratory was born from a deep respect for Wilder's original work and a relentless desire to push it into the 21st century. We believe that in modern markets, static tools are obsolete. The future of trading lies in adaptation. This indicator is for the serious trader, the tinkerer, the scientist—the individual who is not content with a black box, but who seeks to understand, test, and refine their edge with surgical precision. It is a tool for forging, not just following.
The PSAR Laboratory is designed to be the ultimate tool for that evolution, allowing you to discover and codify the rules that truly fit you.
█ DISCLAIMER AND BEST PRACTICES
THIS IS A TOOL, NOT A STRATEGY: This indicator provides a sophisticated trailing stop and reversal signal. It must be integrated into a complete trading plan that includes risk management, position sizing, and your own contextual analysis.
TEST, DON'T GUESS: The power of this tool is its adaptability. Use the Performance Dashboard to rigorously test different algorithms and settings on your chosen asset and timeframe. Find what works, and build your strategy around that data.
START SIMPLE: Begin with the "Volatility-Scaled AF" algorithm, as it is a powerful and intuitive all-rounder. Once you are comfortable, begin experimenting with other engines.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The backtesting results are hypothetical and do not account for slippage or psychological factors. Never risk more capital than you are prepared to lose.
"I don't think traders can follow rules for very long unless they reflect their own trading style. Eventually, a breaking point is reached and the trader has to quit or change, or find a new set of rules he can follow. This seems to be part of the process of evolution and growth of a trader."
— Ed Seykota, Market Wizard
Taking you to school. - Dskyz, Trade with Volume. Trade with Density. Trade with DAFE
Luminous Market Flux [Pineify]Luminous Market Flux - Dynamic Volatility Channel with Breakout Detection
The Luminous Market Flux indicator is a sophisticated volatility-based trading tool that combines dynamic channel analysis with breakout detection and squeeze identification. This indicator helps traders visualize market conditions by creating an adaptive envelope around price action, highlighting periods of compression (low volatility) and expansion (high volatility) while generating actionable buy and sell signals at key breakout moments.
Key Features
Dynamic volatility channel that adapts to changing market conditions using ATR-based calculations
Visual squeeze detection system that warns traders when volatility is contracting
Automatic breakout signal generation for both bullish and bearish scenarios
Luminous gradient fill that provides instant visual feedback on price position within the channel
Bar coloring feature that highlights strong volatility breakouts
Built-in alert conditions for automated trading notifications
How It Works
The indicator operates on three core calculation layers:
1. Baseline Calculation (Central Tendency)
The foundation uses a Running Moving Average (RMA) of the closing price over the specified Flux Length period. RMA was specifically chosen over SMA or EMA because it provides smoother trend detection similar to how RSI and ATR calculations work, reducing noise while maintaining responsiveness to genuine price movements.
2. Volatility Measurement
The channel width is determined by the Average True Range (ATR) multiplied by the Flux Expansion Factor. ATR captures the true volatility of the market by accounting for gaps and limit moves, making the channel responsive to actual market conditions rather than just closing price variations.
3. Squeeze Detection Logic
The indicator compares the current channel width against a 100-period simple moving average of historical channel widths. When the current range falls below 80% of this average, a squeeze condition is identified, signaling that volatility is compressing and a significant move may be imminent.
Trading Ideas and Insights
Breakout Trading: Enter long positions when price breaks above the upper flux channel with a BUY signal, and short positions when price breaks below the lower channel with a SELL signal. These breakouts indicate strong momentum in the direction of the move.
Squeeze Anticipation: When squeeze circles appear at the top of the chart, prepare for a potential explosive move. Squeezes often precede significant breakouts as the market coils before releasing energy in one direction.
Trend Confirmation: Use the bar coloring feature to confirm trend strength. Colored bars indicate that price is trading outside the volatility envelope, suggesting strong directional momentum.
Mean Reversion: When price is within the channel (no bar coloring), the gradient fill helps identify whether price is closer to the upper or lower boundary, potentially useful for mean-reversion strategies.
How Multiple Indicators Work Together
This indicator integrates several technical concepts into a cohesive system:
The RMA baseline provides the trend anchor, while the ATR-based envelope adapts to volatility conditions. These two components work together to create a channel that expands during volatile periods and contracts during quiet markets. The squeeze detection layer adds a third dimension by comparing current volatility to historical norms, alerting traders when the market is unusually quiet.
The visual elements reinforce this analysis: the gradient fill shows price position within the channel at a glance, bar coloring confirms breakout strength, and shape markers provide discrete entry signals. This multi-layered approach ensures traders receive consistent information across different visualization methods.
Unique Aspects
The "Luminous" visual design uses color gradients that dynamically shift based on price position, creating an intuitive heat-map effect within the channel
Unlike traditional Bollinger Bands that use standard deviation, this indicator uses ATR for volatility measurement, making it more responsive to actual price range movements
The squeeze detection compares current volatility to a longer-term average (100 periods), providing context-aware compression signals rather than arbitrary thresholds
Signal generation uses proper state tracking to ensure breakout signals only fire on the initial breakout, not on every bar during an extended move
How to Use
Add the indicator to your chart. It will overlay directly on price with the volatility channel visible.
Watch for BUY labels appearing below bars when price breaks above the upper channel - these indicate bullish breakout opportunities.
Watch for SELL labels appearing above bars when price breaks below the lower channel - these indicate bearish breakout opportunities.
Monitor for small circles at the top of the chart indicating squeeze conditions - prepare for potential breakouts when these appear.
Use the colored bars as confirmation of breakout strength - green bars confirm bullish momentum, red bars confirm bearish momentum.
Set up alerts using the built-in alert conditions to receive notifications for buy signals, sell signals, and squeeze warnings.
Customization
Flux Length (default: 20): Controls the lookback period for both the baseline and ATR calculations. Lower values create more responsive but noisier channels; higher values create smoother but slower-reacting channels.
Flux Expansion Factor (default: 2.0): Multiplier for the ATR value that determines channel width. Higher values create wider channels with fewer signals; lower values create tighter channels with more frequent signals.
Smooth Signal : Toggle for signal smoothing preference.
Bullish Energy : Customize the color for bullish breakouts and upper channel highlights.
Bearish Energy : Customize the color for bearish breakouts and lower channel highlights.
Compression/Neutral : Customize the color for squeeze indicators and neutral channel states.
Conclusion
The Luminous Market Flux indicator provides traders with a comprehensive volatility analysis tool that combines channel-based trend detection, squeeze identification, and breakout signaling into a single, visually intuitive package. By using ATR-based volatility measurement and RMA smoothing, the indicator adapts to changing market conditions while filtering out noise. Whether you are a breakout trader looking for momentum entries or a swing trader waiting for volatility expansion after compression periods, this indicator offers the visual clarity and signal precision needed to make informed trading decisions.
XAUUSD: Ultimate Sniper v6.0 [Order Flow & Macro]This indicator is a comprehensive trading system designed specifically for XAUUSD (Gold). It moves away from lagging indicators by combining real-time Macro-Economic sentiment, Regression Analysis, and Institutional Order Flow logic into a single professional interface.
### Core Strategy & Features: 1. Macro Correlation Filter: Gold has a strong inverse correlation with the USD (DXY) and Treasury Yields (US10Y). This script monitors them in the background. If DXY/US10Y are Bullish, Gold Buy signals are filtered out to prevent trading against the trend. 2. Linear Regression Channel: Defines the "Fair Value" of price. We only look for reversal trades when price hits the extreme Upper or Lower bands. 3. Order Flow Pressure (New): Analyzes the internal structure of each candle (Wick vs Body). A signal is only confirmed if the "Buying Pressure" or "Selling Pressure" within the candle supports the move (e.g. >50%). 4. RSI Divergence: Automatically spots Bullish and Bearish divergences to identify momentum exhaustion.
### ⚙️ Recommended Settings / Best Practices To get the best results, adjust the settings based on your trading style:
🏎️ SCALPING (1min - 5min Charts) * Goal: Quick entries, smaller targets, higher frequency. * DXY/US10Y Timeframe: Set to "15" or "30" (Reacts faster to macro changes). * Regression Length: 50 or 80 (Adapts to short-term trends). * RSI Length: 9 or 14.
🛡️ INTRADAY (15min - 1h Charts) - * Goal: Balanced trading, capturing the daily range. * DXY/US10Y Timeframe: Set to "60" (1 Hour). * Regression Length: 100 (Standard setting). * RSI Length: 14.
🦅 SWING TRADING (4h - Daily Charts) * Goal: Catching major trend reversals. * DXY/US10Y Timeframe: Set to "240" (4 Hours) or "D" (Daily). * Regression Length: 200 (Long-term trend baseline). * Channel Width: Increase to 2.5 or 3.0.
### How to Trade: - BUY Signal: Valid when the Dashboard shows "BEARISH" DXY/US10Y and the Live Pressure is "BUYERS". - SELL Signal: Valid when the Dashboard shows "BULLISH" DXY/US10Y and the Live Pressure is "SELLERS". - Risk Management: The script automatically calculates ATR-based Stop Loss (SL) and Take Profit (TP) levels.
