Cyberpunk MACD Pulse EngineDescription
The Cyberpunk MACD Pulse Engine is a high-performance trend momentum oscillator designed for the modern trader operating in high-volatility environments. It reimagines classic MACD logic through a futuristic HUD (Head-Up Display) aesthetic and is now equipped with "Tactical Mode" switching capabilities—allowing you to swap your analytical focus instantly, much like upgrading hardware in a high-tech sprawl.
Core Systems
・Four Tactical Presets: Instantly recalibrate the engine between Standard, Fast (Scalp), Slow (Swing), or Neural Spike (Hyper-reactive) to match your specific trading style.
・Pulse Histogram: Features dynamic transparency and neon-fused clarity to visualize momentum acceleration and deceleration in real-time.
・Dual-Core Lines: MACD and Signal lines are rendered with a "Neon Glow" effect for maximum visibility during intense sessions.
・System Status HUD: An integrated interface in the top-right corner that monitors current status and active Tactical Mode without cluttering your focus.
・Optimized Logic: Built on Pine Script V5 to ensure lightweight, latency-free performance.
How to Use
1. Identify the Signal: Watch for the "System Reboot" (Cyan Triangle) for bullish reversals and "System Critical" (Magenta Triangle) for bearish shifts.
2. Monitor Intensity: When the histogram glows intensely, momentum is at its peak.
3. Tactical Tip: Use Neural Spike for spotting sudden volatility spikes, and switch to Slow (Swing) to confirm if the primary higher-timeframe trend is still intact.
概要
Cyberpunk MACD Pulse Engineは、現代のトレーダーのために設計された高性能トレンド・モメンタム・オシレーターです。クラシックなMACDを近未来的なHUD（ヘッドアップディスプレイ）の美学で再構築しただけでなく、状況に応じて設定を瞬時に換装できる**「タクティカル・モード」**を新たに搭載しました。ハイテク都市のハードウェアをアップグレードするように、分析の焦点を即座に切り替えることが可能です。
主な機能
・4つのタクティカル・プリセット: Standard、Fast (スキャルピング)、Slow (スイング)、Neural Spike (超高感度反応) から、自身のトレードスタイルに合わせてエンジンを即座に再調整できます。
・パルス・ヒストグラム: ネオンが融合したクリアな視覚効果と動的な透明度変化により、モメンタムの加速と減速をリアルタイムに視覚化します。
・デュアルコア・ライン: MACDとシグナルラインに「ネオングロー」エフェクトを施し、ボラティリティの高い局面でも最高の視認性を確保。
・統合HUD: ペインの右上に、現在のトレンドステータスと選択中のモードをフィードバック表示。集中力を削ぐことなく状況を把握できます。
・最適化されたロジック: Pine Script V5をベースに、軽量な動作とラグのない描画を実現しました。
使用方法
1. シグナルの確認: 強気の反転を示す「System Reboot（シアンの三角）」と、弱気への転換を示す「System Critical（マゼンタの三角）」に注目してください。
2. 勢いの測定: ヒストグラムの発色が鮮やかになった時、トレンドの勢いが最大に達していることを示します。
3. タクティカル・チップ: 急なボラティリティを検知するにはNeural Spikeを使用し、主要なトレンドが維持されているか確認するにはSlow (Swing)に切り替えて分析を補完してください。
Индикаторы и стратегии
RT Signals & Overlays Signals & Overlays™ is an all-in-one toolkit made up of more than 20+ features primarily focused on generating useful signals & overlays to fulfill any trader's technical analysis needs with relevant data.
Adaptive Structure Trend Engine (ASTE)Adaptive Structure Trend Engine (ASTE)
Adaptive Structure Trend Engine (ASTE) is a non-repainting, multi-layer trend analysis indicator designed to help traders identify high-quality directional opportunities using market structure and adaptive moving averages. ASTE focuses on trend clarity, confirmation, and signal cleanliness, avoiding indicator noise and repeated signals.
🔍 Core Components
ASTE combines four powerful concepts into a single, structured framework:
• FRAMA (Fractal Adaptive Moving Average)
Detects market structure and directional slope changes.
• KAMA (Kaufman Adaptive Moving Average)
Measures price efficiency and regime stability.
• JMA (Jurik-style Moving Average)
Provides smooth momentum confirmation with minimal lag.
• EMA Hierarchy (21/50 + 50/100/150/200)
Validates trend strength and higher-order alignment.
📊 Signal Types
ASTE produces state-based signals (no repeated alerts on every bar):
1️⃣ Base Signal
Single tiny triangle
• FRAMA slope alignment
• KAMA direction confirmation
• JMA momentum confirmation
• EMA 21/50 trend validation
2️⃣ Strong Signal
Two stacked triangles
• All Base Signal conditions
• PLUS EMA 50/100/150/200 full trend confluence
Signals remain active until an opposite signal of the same type appears.
🎨 Visual Design
• Clean stacked triangle system
• No repainting
• No signal spam
• EMA band with gradual color transition
• Fully configurable visibility options
⚙️ User Controls
• Adjust FRAMA, KAMA, and JMA lengths
• Toggle Base / Strong signals
• Show or hide EMA band
• Works on all markets and timeframes
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or trade recommendations. Always use proper risk management and confirm signals with additional analysis. Past performance does not guarantee future results.
stelaraX - SupertrendstelaraX – Supertrend
stelaraX – Supertrend is a trend-following indicator based on the Average True Range (ATR). It dynamically adapts to market volatility and provides clear visual guidance for identifying bullish and bearish trend phases directly on the chart.
This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation.
stelarax.com
Core logic
The Supertrend is calculated using two user-defined parameters:
* ATR period
* volatility factor
The indicator uses ATR-based price bands to determine trend direction:
* bullish trend when price holds above the Supertrend level
* bearish trend when price holds below the Supertrend level
When price crosses the Supertrend line, the trend direction flips accordingly. The ATR factor controls the sensitivity of trend changes, with higher values producing fewer but stronger signals.
Visualization
The script plots a single Supertrend line directly on the price chart:
* green color during bullish trends
* red color during bearish trends
* broken line style to clearly show trend transitions
The minimalist design ensures that trend direction is immediately visible without cluttering the chart.
Use case
This indicator is intended for:
* identifying and following market trends
* defining dynamic trailing stop levels
* filtering trades in the direction of the dominant trend
* trend confirmation in combination with other indicators
For traders looking to combine classical trend tools with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
MAD RSIMAD RSI ~ by GForge
An adaptive trend-following indicator that combines RSI momentum with Median Absolute Deviation (MAD) volatility bands to identify trend direction, gauge regime strength, and generate entry/exit signals.
Core Concept
Most band-based indicators use Standard Deviation to measure volatility. The problem is that StdDev is highly sensitive to outlier candles — a single spike from news, earnings, or liquidation cascades can blow out the bands and distort signals. This indicator replaces StdDev with Median Absolute Deviation (MAD), a statistically robust volatility measure that resists outliers while still tracking genuine changes in market volatility. The result is more stable bands that better represent the true trading range.
RSI-Adaptive Mechanism
A smoothed RSI is calculated and used to dynamically scale the band width. The logic works as follows: when RSI is near 50 (neutral/indecisive), the bands stay at their base width. As RSI moves further from 50 in either direction — indicating stronger bullish or bearish momentum — the bands widen proportionally. This creates a self-adjusting system: during strong trends the bands expand to avoid premature exits, and during choppy consolidation they contract to keep signals responsive.
The RSI smoothing parameter applies an EMA on top of the raw RSI to control how quickly the adaptive multiplier responds. A low smoothing value makes the bands react quickly to momentum shifts. A higher value smooths out the adaptation, which can reduce whipsaws in noisy conditions.
Oscillator & Signal Logic
The indicator computes a Basis line (Simple Moving Average) and places the adaptive MAD bands above and below it. Price position within these bands is then normalized into an oscillator ranging from 0 to 100, where 0 means price is at the lower band, 50 means price is at the basis, and 100 means price is at the upper band.
Signals are generated when this oscillator crosses key thresholds:
A long signal fires when the oscillator crosses above the Long Threshold, indicating price has moved convincingly into the upper portion of the adaptive channel.
A short/exit signal fires when the oscillator crosses below the Short Threshold, indicating momentum has weakened and price is falling back within the channel.
The thresholds are independently configurable. For example, setting a Long Threshold of 80 means you require price to push well above the midpoint before entering, while a Short Threshold of 30 means you exit relatively early before price reaches neutral. This asymmetry can be tuned for different risk appetites — tighter thresholds produce more signals with smaller moves, wider thresholds produce fewer signals but filter out more noise.
Key Parameters
Source — the price input for all calculations. Close is standard, but hl2, hlc3, or ohlc4 can provide smoother behavior on volatile instruments.
RSI Length — controls the RSI lookback period. Longer values produce a smoother RSI that changes the adaptive multiplier gradually. Shorter values make it more reactive.
RSI Smoothing — additional EMA smoothing applied to the RSI before it feeds into the adaptive multiplier. Set to 1 for no extra smoothing.
Basis Length — the SMA period for the center line of the channel. This is the trend anchor. Longer values track slower trends, shorter values hug price more closely.
MAD Length — lookback for the Median Absolute Deviation calculation. Controls how many bars contribute to the volatility estimate. Longer values produce more stable bands, shorter values adapt faster.
Volatility Multiplier — the base scaling factor for band width before RSI adaptation is applied. Higher values widen the bands and reduce signal frequency. Lower values tighten them and increase signal frequency.
Visuals
A gradient cloud beneath price provides an at-a-glance read of trend regime and strength. Bar colors reflect the oscillator position. Signal markers appear as diamonds above and below bars.
Usage Notes
This is a tool to assist your analysis, not a standalone trading system. Always apply your own risk management and confirm signals with additional context.
Past performance does not guarantee future results.
Default settings are a starting point — optimize for your specific instrument, timeframe, and trading style.
The MAD calculation is particularly well-suited for instruments prone to sudden spikes or gap moves where Standard Deviation-based indicators tend to produce erratic signals.
Developed by GForge
Scientific MACD Scientific MACD v5.1 — User Guide
An advanced momentum oscillator featuring eight scientifically-modeled moving average algorithms with adaptive signal generation and real-time calculation stability.
Overview
This indicator reimagines the traditional MACD through the lens of multiple scientific disciplines. Rather than relying on simple exponential moving averages, it offers eight distinct mathematical frameworks for calculating trend components—each derived from physics, biology, information theory, or behavioral science. The result is a highly adaptive momentum system that adjusts its sensitivity to market conditions through dynamic error-tracking and hybrid ensemble methods.
Core Architecture
Three-Component Structure
Like the classic MACD, this indicator maintains three essential elements:
Fast Line: Short-term trend component (default: 12 periods)
Slow Line: Long-term trend component (default: 26 periods)
Signal Line: Smoothed derivative of the MACD line (default: 9 periods)
Independent Algorithm Selection
Each component can use any of the eight available moving average types independently. This allows sophisticated combinations such as Wave fast + Entropy slow + Synaptic signal, creating multi-domain confirmation systems.
Scientific Moving Average Models
1. Wave Mechanics MA
A Fourier-inspired bandpass filter that decomposes price into harmonic components. Uses multiple sine wave harmonics (fundamental + overtones) centered around a mean price, with amplitude derived from period range. Higher harmonics receive decreasing weights. Ideal for identifying cyclical price structures and filtering noise through frequency domain analysis.
2. Thermodynamic Entropy MA
Applies information theory concepts to market returns. Calculates Shannon entropy across a 5-bin probability distribution of returns, then uses entropy ratio to adapt smoothing intensity. High entropy (disorder) increases smoothing; low entropy (trending) decreases smoothing. Adds small entropy-based adjustments to center the moving average.
3. Biological Synaptic MA
Implements Hebbian learning rules from neural biology. Maintains adaptive weights for recent price history that strengthen when current price movements correlate with past movements (associative learning). Weights decay exponentially with time and normalize between 0.5 and 2.0. Excels at capturing momentum persistence and regime changes.
4. Quantum Uncertainty MA
Models price as a quantum superposition of states with probabilistic amplitudes. Uses Gaussian distance functions to project current price onto historical basis states, then calculates expectation values. Incorporates decoherence (mixing with previous states) for stability. Naturally handles uncertainty and provides smooth transitions between trend states.
5. Fluid Dynamics MA
Treats price movement as fluid flow with Reynolds number classification. Calculates characteristic velocity, viscosity, and Reynolds number to determine flow regime. Laminar flow (low Re) uses diffusion-dominated smoothing; turbulent flow (high Re) uses advection-dominated smoothing. Includes stability clamps to prevent extreme deviations.
6. Network Cascade MA
Applies epidemiological SIR (Susceptible-Infected-Recovered) models to price trends. Models trend strength as infection rate spreading through market participants. Adaptive smoothing based on active infections (trend strength) with mean reversion as recovery increases. Beta parameter derived from return surprises relative to volatility.
7. Behavioral Economics MA
Incorporates Prospect Theory from psychology. Maintains an adaptation level (reference point) that updates slowly. Applies Tversky-Kahneman value functions with loss aversion (lambda = 2.25) and diminishing sensitivity (alpha = 0.88). Weights prices by psychological value rather than linear distance, emphasizing gains/losses relative to perceived anchors.
8. Hybrid Ensemble MA
Combines all seven models through inverse-error weighting. Tracks exponential moving average of prediction errors for each component model, then assigns weights inversely proportional to recent error. Automatically favors whichever scientific model best fits current market conditions. Displays real-time weight distribution table when enabled.
Signal Generation
Quality-Filtered Crossovers
Standard MACD crossovers are enhanced with statistical quality gates:
Bull Signal: MACD crosses above Signal while MACD is below zero and histogram exceeds 80th percentile of recent values
Bear Signal: MACD crosses below Signal while MACD is above zero and histogram below 20th percentile of recent values
High-Quality Signals
Additional filter requiring signal quality ratio (histogram magnitude divided by histogram volatility) to exceed 2.0. These appear as HQ↑ and HQ↓ markers, indicating statistically significant momentum shifts.
Visualization Features
Dynamic Color Coding
MACD Line: Lime/olive when above signal (bullish), red/maroon when below (bearish)
Histogram: Intensity varies with signal quality—brighter colors indicate stronger statistical significance
Signal Line: Orange for clear differentiation
Zero Line: Dashed gray reference
Volatility Zone: Gray fill between ±1 standard deviation of MACD values
Hybrid Weight Display
When Hybrid MA is selected and Show Hybrid Weights is enabled, a real-time table displays current ensemble weightings for all seven component models as percentages. Updates dynamically as market conditions favor different scientific approaches.
Key Input Parameters
Core Settings
Fast Length: Short-term lookback (2-200, default 12)
Slow Length: Long-term lookback (3-500, default 26)
Signal Length: Smoothing period for signal line (2-100, default 9)
Scientific Parameters
ZigZag Detection Depth: Influences cyclicality measures in Wave and Fluid models (3-20, default 5)
Real-Time Calculation Fix: Blends calculated values with current price during unconfirmed bars to prevent repainting artifacts
MA Configuration
Independent algorithm selection for Fast, Slow, and Signal components. Options: Wave, Entropy, Synaptic, Quantum, Fluid, Cascade, Behavioral, Hybrid.
Display Settings
Toggle for Hybrid weight table visibility.
Operational Workflow
Select appropriate lengths for your timeframe and trading style
Choose MA algorithms based on market characteristics:
Trending markets: Synaptic, Cascade, or Behavioral
Cyclical/ranging markets: Wave or Quantum
High volatility: Entropy or Fluid
Unknown regime: Hybrid (adaptive ensemble)
Enable Real-Time Calculation Fix for live trading to prevent repainting
Monitor standard crossovers for entry signals
Prioritize HQ (High Quality) signals for lower-risk entries
Use histogram color intensity to gauge signal strength
When using Hybrid, monitor weight table to understand which models are currently dominant
Best Practices
Use longer lengths (20-50-10) for swing trading, standard (12-26-9) for day trading
Combine complementary algorithms: fast Wave + slow Entropy captures cycles within noise-filtered trends
Enable Hybrid during regime uncertainty—it automatically selects optimal models
Disable Real-Time Calculation Fix for historical analysis, enable for live signals
Watch for divergence between MACD and price while monitoring histogram quality for confirmation
Volatility zone fill helps identify when MACD moves reach statistical extremes
This indicator provides mathematically sophisticated trend analysis. Algorithm selection significantly impacts signal characteristics—experiment with combinations to find optimal fit for your market and timeframe.
Roboballs42 Auto Bull/Bear Flag (ZigZag) + Targets [Parallel]Roboballs42 • Auto Bull/Bear Flag (ZigZag) + Targets automatically detects bull flags and bear flags using a ZigZag-style pivot engine, draws a parallel flag channel anchored back to the flagpole (xB), and projects the channel only a limited number of bars into the future (no infinite rays).
While a flag is active, the script shows a live breakout arrow as soon as price breaks the channel intrabar. Once the breakout confirms, the arrow locks at the breakout candle and the flag is considered complete. Patterns that get invalidated (price breaks the “wrong side” of the flag) are automatically deleted to keep the chart clean.
If you enjoy this indicator and want to support the project, BTC donations are appreciated:
bc1qvda8daynuqhpx8e9g07ddyelhpmv4ja5wc9cmm
Key Features
Auto Bull Flags + Bear Flags
Parallel channel that extends left to the flagpole (no incomplete flags)
Limited forward projection (Projection bars) to avoid endless lines
Live breakout arrow (realtime) + locked arrow on confirmation
Measured-move target plotted on confirmed breakout
Invalidation cleanup (delete patterns when price violates the wrong side)
Custom controls: pivot sensitivity, pole size (ATR), flag depth %, max flag length, touch tolerance, breakout type, invalidation type, and memory limits
Notes
“Early pivots” can repaint like a standard fast ZigZag.
This indicator is a pattern-visualization tool, not financial advice.
EMA Multi Cross + SR Breaks & RetestsDescription
The EMA Multi Cross with Support & Resistance Break & Retest indicator combines trend-following moving averages with dynamic support and resistance zone detection to help traders identify trend direction, momentum shifts, and key price reaction areas in real time.
The indicator plots multiple Exponential Moving Averages (EMAs) to provide a clear view of short-, medium-, and long-term trends while automatically detecting high-volume support and resistance zones. It also highlights when these zones break or successfully hold, helping traders spot potential continuation or reversal opportunities.
Key Features
Multi-EMA Trend System
The indicator displays EMA 9, 13, 15, 21, 50, and 200 to help traders quickly assess trend structure and market momentum.
EMA Crossover Alerts
Alerts can be triggered when important EMA crossovers occur, helping traders capture momentum shifts and potential entries.
Cross alerts included:
EMA 9 crossing EMA 15
EMA 9 crossing EMA 21
EMA 13 crossing EMA 50
EMA 21 crossing EMA 200
Both bullish and bearish signals are supported.
Dynamic Support & Resistance Zones
The script automatically detects potential support and resistance areas based on price pivots and volume activity, plotting them as zones directly on the chart.
Stronger zones appear darker, helping traders quickly identify important reaction areas.
Break & Retest Detection
When price breaks a support or resistance zone, the zone changes appearance to visually confirm the breakout. If price returns and holds the level, the zone adjusts back, signaling a possible continuation.
This helps traders identify:
Breakouts
Failed breakouts
Retests
Trend continuation setups
Customizable Display
Users can enable or disable support & resistance detection and adjust detection sensitivity according to their trading style.
Typical Use Cases
• Trend-following entries using EMA alignment
• Breakout trading
• Retest confirmation entries
• Scalping and intraday setups
• Swing trading trend confirmation
ninjactor fib (v6, Native Pivots, Non-Repainting)📐 Fibonacci Sequence Framework (Non-Repainting)
This indicator implements a structured Fibonacci sequence framework using confirmed, non-repainting pivots.
It automatically identifies Fibonacci boundaries, plots a precise Fibonacci level set with grouped color logic, and projects targets based on retracement depth.
The script is designed for clarity, accuracy, and object-based plotting, extending Fibonacci levels to the right while active and maintaining a clean chart by default.
🔹 Core Features
Non-Repainting Fractals
Uses confirmed 2-left / 2-right pivots (ta.pivotlow, ta.pivothigh)
Pivot labels are plotted on the correct historical bar
Automatic Fibonacci Boundary Detection
Long spreads:
Boundary 1 = pivot low (100%)
Boundary 2 = first pivot high after (0%)
Short spreads use the inverted logic
Direction can be set to Auto, Long Only, or Short Only
Exact Fibonacci Level Set
Retracements:
0.236 · 0.382 · 0.500 · 0.618 · 0.786 · 0.886
Extensions (targets):
1.127 · 1.272 · 1.618
Negative levels included:
-0.127 · -0.272 · -0.618
Grouped Color Logic
Red: 0.236 / 0.382 / 0.500 / 0.618, 1.618, negative levels
Blue: 0.786, 1.272, boundary lines
Green: 0.886, 1.127
Active target is highlighted with increased line thickness
Strict “Must Touch” Logic
Retracement levels are only considered valid if price actually touches them
Wick-based validation (not close-based)
Target hits must be touched exactly — no partial credit
Target Projection Rules
Retracements ≤ 0.618 → target = 1.618
0.786 retracement → target = 1.272
0.886 retracement → target = 1.127
Clean Object Management
Uses line and label objects (not plots)
Levels extend right while active
By default, only the current active spread is displayed
Optional history toggle to keep previous spreads
⚙️ Customization
Fully customizable color inputs
Adjustable opacity for:
Non-active levels
Active target line
Direction mode selection
History on/off control
📌 Notes
This is an indicator, not a strategy (no trade execution)
Designed for discretionary trading and confluence analysis
Built to be stable, readable, and Pine Script v6 compatible
Q-Trend + Keltner Squeeze ZonesThe indicator you are using is a **custom combination** of two distinct tools overlaid on the same chart in TradingView: **Q-Trend** (by tarasenko_) and a **Keltner Channel Squeeze** setup (with Bollinger Bands for squeeze detection). The result is a visual system designed to identify trend direction and manage positions with volatility-aware levels.
### 1. Q-Trend Component
**Purpose**: Determines the overall trend bias and generates entry/continuation signals.
**How it works** (core logic):
- It calculates a dynamic **trend line** (often labeled "Q-Trend Line" when visible) as the midpoint between the highest and lowest price over a long lookback period (default 200 bars).
- An **ATR-based buffer** (epsilon = ATR × multiplier, default 1.0) is added/subtracted to create upper and lower threshold bands around this trend line.
- Signals occur when price crosses or decisively moves beyond these thresholds:
- **Buy signal** → price breaks above the upper threshold (trend line + epsilon).
- **Sell signal** → price breaks below the lower threshold (trend line – epsilon).
- **Strong signals** incorporate additional conditions based on proximity to recent range extremes.
- Bar coloring (blue for bullish, red for bearish by default) and optional labels/arrows reinforce the trend direction.
**Practical role in your setup**:
- Acts as the **primary trend filter**.
- You only consider long positions when the chart shows bullish coloring/signals, and short positions when bearish.
### 2. Keltner Channel Squeeze Component
**Purpose**: Identifies periods of low volatility (compression) and potential directional breakouts, while providing dynamic support/resistance and trailing levels.
**How it works**:
- **Center line** → 20-period EMA of close (orange when visible) — serves as your visual midpoint reference.
- **Inner bands** → Center ± (ATR × inner multiplier). Default inner = 1.8 ATR.
- **Outer bands** → Center ± (ATR × outer multiplier). Default outer = 3.3 ATR.
- **Bollinger Bands** (optional, default hidden) → 20-period SMA ± 2 standard deviations — used only internally to detect a **squeeze** (when BB width < inner Keltner width).
- **Squeeze breakout arrows**:
- Lime up arrow below bar → bullish breakout (close above upper inner band after squeeze).
- Red down arrow above bar → bearish breakout (close below lower inner band after squeeze).
- **Labels** appear at key events:
- "SQUEEZE BREAK UP" / "SQUEEZE BREAK DOWN" on initial breakout.
- "REBALANCE UP" / "REBALANCE DOWN" when price returns inside the inner band after a breakout (potential mean-reversion or failure).
**Visual zones** (when fills are enabled):
- Upper red zone (between inner and outer upper bands) → potential short/rejection area in downtrends.
- Lower blue zone (between inner and outer lower bands) → potential long/rejection area in uptrends.
### Your Overall Strategy (as Described)
This is a **trend-following system with volatility-based scaling and protection**. It is designed to enter/add to positions in the direction of the prevailing trend while using the Keltner structure for timing and risk management.
**Key rules you follow**:
1. **Trend filter first** — Confirm direction with Q-Trend:
- Bullish (blue bars, Buy/Strong Buy signals) → only consider long trades.
- Bearish (red bars, Sell/Strong Sell signals) → only consider short trades.
2. **Addition (scaling in)**:
- In an **uptrend**: Add to longs when price pulls back **below the centerline** (mid Keltner/EMA) or touches/rejects the **inner lower band**.
- In a **downtrend**: Add to shorts when price rallies to the **inner upper band**.
- Rationale: These are temporary retracements within the trend, not reversals. Scaling here improves average entry price.
3. **Entry trigger**:
- Often initiated or confirmed by a Q-Trend Buy/Sell signal.
- Keltner breakout arrows (lime/red) can provide additional timing confirmation.
4. **Trailing stop-loss**:
- For **long positions**: Trail stop-loss below the **outer lower band** (lower_outer).
- For **short positions**: Trail stop-loss above the **outer upper band** (upper_outer).
- As price moves favorably, the outer band follows (via the shifting EMA + ATR), automatically locking in gains.
- Activate/tighten the trail upon entry (e.g., after a Buy signal or breakout arrow).
**Risk considerations**:
- Use position sizing appropriate to account risk (e.g., 1–2% per trade).
- The outer bands widen in high volatility → more room to breathe but larger potential loss.
- Avoid forcing trades in choppy/range-bound markets (Q-Trend signals become less reliable).
- Backtest on your specific instrument/timeframe (e.g., futures like ES/NQ) to validate behavior.
This setup rewards patience: wait for clear trend alignment (Q-Trend), add on volatility-supported pullbacks (Keltner inner/mid), and let winners run while protecting with adaptive trailing levels (Keltner outer). If you would like clarification on any parameter, visual adjustment, or addition of alerts for your exact rules, please specify.
GeorgeFX - CRT 4H Hunter ProThe GeorgeFX - CRT 4H Hunter Pro is a professional liquidity-tracking indicator designed for the 15-minute timeframe. It identifies high-probability reversals by monitoring 4-Hour (HTF) liquidity sweeps and confirming entries via local market structure shifts.
Core Logic:
1.HTF Liquidity Detection: The script tracks the Previous 4H High and Low.
2.The Sweep (Liquidity Grab): It identifies when the 15m price pierces these 4H levels and closes back inside, signaling a potential "trap."
3.Volume Filter: Only sweeps with volume higher than the 20-period average ($1.1x$ multiplier) are considered valid.
4.Multi-Sweep Memory: The script tracks consecutive sweeps (C1, C2, C3) within the same 4H candle, resetting only when the price re-enters the 4H range.
5.Precision Entry (The Dot): A signal (●) is generated only when the 15m price closes beyond the trigger candle's body, confirming momentum.
Visual Elements:
1.Stepline Levels: Red (4H High) and Green (4H Low) lines showing the HTF boundaries.
2.Sweep Boxes: Shaded regions showing the depth of the liquidity grab.
3.Confirmation Dot (●): High-visibility Lime (Buy) or Red (Sell) dots marking the exact entry candle.
4.Trigger Lines: Horizontal lines connecting the sweep to the entry point.
5.Visibility Limit: Display is optimized to show only the last 200 bars to keep the chart clean.
Professional Alert System:
1.The script uses a standardized "Pro-Signal" format designed for instant readability on mobile devices or smartwatches.
2.Alert Trigger: Fires exactly at the close of the 15m confirmation candle.
How to Set Up Alerts:
1.Apply the script to your 15-minute chart.
2.Click the Alerts icon (Clock) in the right sidebar.
3.Set Condition to GeorgeFX - CRT 4H Hunter Pro.
4.Select Any alert() function call.
5.Set Expiration to "Open-ended" and click Create.
[CT] MTF CISD w/ExtensionsThis indicator is a modified version of “Change in State of Delivery CISD” originally created by © AlgoAlpha and released under the Mozilla Public License 2.0. The core CISD logic, including how the script identifies qualifying bullish and bearish state changes and how it draws the original CISD levels, comes from AlgoAlpha’s work. The version you are using has been modified by © ChaosTrader63 to add multi time frame CISD functionality, optional HTF labeling and styling controls, and a configurable method to extend a user selected number of the most recent current time frame CISD levels beyond the last candle.
At its core, CISD is designed to identify moments when price behavior suggests a meaningful shift in control, where one side of the market has effectively “taken delivery” and the prior state has changed. The script watches price swings, then tracks specific candle state transitions that can act like triggers. When the conditions are met, it prints a CISD level as a horizontal line originating from the candle that defined the trigger and extending to the detection candle, creating a clear reference level that can behave like a decision point for future price interaction. In practice, those levels often act as areas where price may react, reject, or accept, because they represent the point where a meaningful state change was confirmed by price behavior rather than by a simple moving average or lagging trend filter.
The indicator also includes swing based liquidity tracking to provide context around potential liquidity events. It detects swing highs and swing lows using a pivot period you control, then maintains those swing levels as “liquidity lines” until they are either mitigated or expire after a set number of bars. When price wicks into one of those swing liquidity levels and confirms the mitigation, the script records that event. If a CISD trigger happens shortly after, and the new state change occurs with evidence that opposing liquidity was just taken, the script flags that as a stronger event by marking it on the chart. This is meant to separate normal CISD signals from those that occur after a sweep, because a sweep plus a decisive state change is often more meaningful than a state change that happens in the middle of noise.
The user controls in the calculations section determine how sensitive or selective the CISD detection is. The noise filter controls how strict the script is about qualifying the internal structure that leads to a CISD event. Higher values reduce noise and typically produce fewer, more selective CISD levels, while lower values will produce more frequent levels that may be less reliable in choppy conditions. The swing period controls how far back the script looks when identifying pivot highs and lows, which changes how “major” a swing must be to count as liquidity. The expiry bars setting controls how long older liquidity levels remain active before they stop updating or are removed, and the liquidity lookback determines how recently a swing mitigation must have occurred for the script to treat the CISD as happening with a sweep.
Visually, the script colors candles based on the current CISD trend state. When a bearish CISD is detected, the trend state flips bearish and candles are shaded using the bearish color with a user controlled transparency blend, and when a bullish CISD is detected the trend state flips bullish and candles are shaded using the bullish color. This makes the tool useful not only for marking levels, but also for keeping a simple “state” view on the chart so you can see when the indicator believes control has shifted. If you enable the option to use HTF trend for candle coloring, then the candle shading can reflect the higher time frame trend state instead of the local chart state, which is helpful when you want to trade a lower time frame while staying aligned with the higher time frame CISD bias.
The modifications add a higher time frame CISD layer so you can see more significant CISD levels from a chosen HTF while trading on a lower time frame chart. When enabled, the script computes CISD on the higher time frame through a request security call and then draws HTF CISD lines onto your current chart. You can require confirmed HTF signals only, which means the HTF CISD will print only after the HTF candle closes, reducing repaint style behavior and preventing the level from appearing and disappearing mid-candle. The HTF CISD lines keep the original bullish and bearish color scheme, and you can choose whether they render as solid or dashed to visually separate HTF structure from current time frame structure. The script can also place a label on the HTF CISD level, showing the selected HTF, for example “15 min HTF CISD,” and you can control the label background color, text color, size, and a horizontal offset so the label sits to the right of the current price rather than directly on top of the level.
The other key modification is the extension system for the current time frame CISD levels. The original script draws CISD levels from the origin candle to the detection candle, which is the “normal” behavior and is still preserved for all CISD levels. The enhancement allows you to choose how many of the most recent current time frame CISD levels you want to extend past the last candle by a defined number of bars. This is designed for traders who want their freshest decision levels projected into the future so they can be used as immediate references for reaction, acceptance, rejection, entries, or targets, without cluttering the chart by extending every single historical level. Because the extension uses the original line and simply moves the line’s end point to bar index plus your offset, it extends cleanly from the true starting point with no visual gap, and it automatically updates as new bars print. When a level is no longer within the most recent group, the script restores the original endpoint so older CISD lines revert back to normal and do not continue extending.
To use the indicator effectively, start by choosing whether you want it to be a current time frame decision tool, a higher time frame structure tool, or both. If you are trading lower time frames, enabling HTF CISD with confirmed only is usually the cleanest way to stay aligned with the dominant structure while avoiding levels that shift during an unclosed HTF candle. Then tune the swing period and noise filter to your market. If you are seeing too many levels in chop, increase the noise filter and consider a longer swing period so only larger structural transitions qualify. If you are missing important shifts, reduce the noise filter slightly so the script becomes more responsive. For execution, treat CISD levels like state change reference prices. When price returns to a bullish CISD level, look for acceptance above it to confirm continuation or rejection below it to warn of failure, and do the inverse for bearish levels. The liquidity sweep markers are especially useful as a context filter, because a CISD that occurs after a sweep often represents a more forceful transition where one side grabbed liquidity and then reversed state, which can create cleaner follow-through or stronger reaction zones.
Overall, this modified version keeps AlgoAlpha’s original CISD and liquidity framework intact, but adds the two things traders typically need when using a state change concept in live execution: the ability to overlay higher time frame CISD structure on a lower time frame chart, and the ability to project only the most relevant recent CISD levels into future bars so the levels are immediately actionable without turning the chart into a wall of extended lines.
[src] [uxo, @envyisntfake] accurate strike -> futures conversioni accidetnally clicked protected script and not open source the script lolololol
no trader should ever fear a tool that they rely on to be hidden unless its a niche concept
check out @envyisntfake discord / github, i used his convertor as a base, i only improved the porting to make this live, and added smoothing to make the conversions better rather than manually inputting it into his calculator
TL Compress & StealthBreak v3.3Here is the simplified **Practical User Guide** for this indicator.
### **How to Read the Screen**
1. **The Dashboard (Table):** Tells you the current market health.
2. **Background Color:** Tells you the "Phase" of the market.
3. **Triangles:** The final signal to trade.
---
### **Step-by-Step Usage**
#### **1. WAIT (The Squeeze)**
* **Look for:** **Yellow** or **Orange** background.
* **Meaning:** The market is "Compressing" (quiet before a big move).
* **Action:** **Do nothing.** Wait for the breakout.
#### **2. GET READY (The Setup)**
* **Look for:** **Blue** (Bullish) or **Pink** (Bearish) background.
* **Meaning:** The market has pulled back and is "Ready" to launch.
* **Action:** Prepare your order. Watch for the signal.
#### **3. EXECUTE (The Signal)**
* **Look for:**
* 🟢 **Green Triangle (BUY):** When the trend is UP.
* 🔴 **Red Triangle (SELL):** When the trend is DOWN.
* **Dashboard Check:** Ensure the "TREND" row on the table matches your signal (e.g., TREND = UP for a Buy).
* **Action:** **Enter the trade immediately.**
---
### **Stop Loss & Exit Strategy**
* **Stop Loss (SL):**
* **For BUY:** Place SL just below the **Orange Line** (Slow EMA).
* **For SELL:** Place SL just above the **Orange Line** (Slow EMA).
* **Take Profit (TP):**
* Target a 1:1.5 or 1:2 Risk-Reward ratio.
* **Or:** Exit if the background color disappears or changes to the opposite color.
### **Important Note**
* **"Zero Delay" Mode:** The signals appear very fast. If the candle closes and the Triangle remains, the signal is valid. Do not enter if the signal flashes and disappears before the candle closes.
Multi Trendlines from Pivots (>=3 Touches). DaliliIndicator Description
Multi Trendlines from Pivots (≥3 Touches)
This indicator automatically identifies and draws straight support and resistance trendlines based on confirmed price pivots. It is designed to approximate how a disciplined discretionary trader would draw trendlines, but does so algorithmically and consistently.
What it does
1. Pivot-based structure detection
The indicator first identifies swing highs and swing lows using a configurable pivot length. Only confirmed pivots are used, so lines do not repaint.
2. Line construction logic
For each side of the market:
• Pivot highs are used to construct resistance lines (drawn in red).
• Pivot lows are used to construct support lines (drawn in green).
All possible straight lines formed by pairs of pivots are evaluated.
3. Minimum touch requirement
A line is only considered valid if at least 3 pivot points fall on or very near that line. “Near” is defined by a volatility-adjusted tolerance using ATR (Average True Range), so the logic adapts across symbols and timeframes.
4. Multi-line output
The script does not stop at a single trendline. It draws as many valid lines as possible, up to a configurable maximum per side, prioritizing lines with the highest number of touches.
5. Dynamic updating
Lines are rebuilt only when new pivots form. Old lines are removed and replaced as structure evolves, keeping the chart clean and relevant.
Visual output
• Red straight lines: Resistance lines derived from pivot highs.
• Green straight lines: Support lines derived from pivot lows.
• Lines optionally extend to the right, projecting future support or resistance.
What it is not
• It does not curve or smooth lines.
• It does not use regression channels or moving averages.
• It does not rely on candle bodies unless explicitly modified.
• It does not repaint past structure.
Use case
This indicator is best suited for:
• Structural market analysis.
• Identifying confluence zones where multiple trendlines cluster.
• Swing trading and breakout/failure analysis.
• Overlaying objective structure on discretionary price action analysis.
If you want to further constrain it, the next logical refinements would be:
• Only downward-sloping resistance and upward-sloping support.
• Requiring touches to be higher highs or lower lows.
• Switching touches from pivots to raw candle highs/lows.
• Enforcing minimum bar separation between touches.
All of those can be layered on without changing the core architecture.
MudHome - HTF Last X Candles (Range + Live Price Label)This indicator provides a live Higher Timeframe (HTF) context overlay on lower-timeframe charts by displaying the most recent HTF candles as a compact inset, alongside a dynamically updating price range.
It plots the last N HTF candles (up to 10), including the currently forming HTF candle, arranged left-to-right in standard chart order. This allows traders to visually track HTF structure, expansion, and volatility in real time while executing on lower timeframes.
Key Features
Displays the most recent HTF candles, including the live, still-forming candle
Candles are drawn to the right of price, preserving chart clarity
Automatically calculates and displays the HTF range high and low across the selected candles
Range labels update dynamically as the current HTF candle expands
Shows a live current-price label, updating tick-by-tick
Clean, minimal presentation — no cluttered OHLC labels
Fully configurable candle spacing, body width, colors, and offsets
Smart Validation
The indicator only renders when the selected timeframe is higher than the chart timeframe
If not, a clear prompt is shown: “Select a higher time frame”
Ideal Use Cases
HTF bias and context on LTF execution charts
Range expansion and contraction analysis
ICT-style dealing range, premium/discount framing
Session and structure awareness without switching timeframes
This tool is designed to act as a live HTF context box, keeping higher-timeframe structure visible at all times while you focus on execution.
VWAP Trader NXiThe VWAP (Volume-Weighted Average Price) is a technical indicator that calculates the average price of a security based on price and volume. It serves as a key benchmark for intraday trends for day traders: If the price is above it, the market is considered bullish; below it, bearish. The VWAP is usually recalculated daily to find fair entry or exit points. Key facts about the VWAP: Calculation: (Sum(Price) × Volume) / Total Volume). Application: Particularly popular in day trading to identify intraday trends and as a "fair value." Comparison to the Moving Average: Unlike the simple moving average (MA), the VWAP weights trading volume, making it more reliable during strong trending phases. Interpretation: If the price is above the VWAP line, this indicates an upward trend. including a downward trend. Anchored VWAP: Allows the calculation to be started at any point (e.g., a significant high or low) instead of automatically at the market open. Many institutional traders use VWAP to execute large orders in a way that minimizes their impact on the market price.
My setup:
Reverse setup = VWAP is telling your if price is cheap or expensive. Buy after price reverses in discount zone and sell when price in Premium zone. I use big trade as a combination in ATAS to see stop buy/stop sell order.
Trend following = VWAP has a 0.0 center line. This can be use as Resistance or Support. I use trend VWAP with IB (initial balance) zone to determine buy or sell upportunity.
Visit us and more:
www.tradernxi.com
Initial Balance Trader NXiIB (Initial Balance) can be trade at IBL or IBH. My setup based on 30min IB zone. This strategy can be trade in GOLD, SP500 or Currencies etc. Can be combine with VP (Volume profile)
Visit us for more:
www.traderxi.com
CRR Market StructureCRR — Market Structure (Educational) is an educational chart overlay designed to help traders visualize market structure and price behavior in a clear, objective way.
This indicator focuses on:
Swing structure (HH, LH, HL, LL)
Break of Structure (BOS)
Change of Character (ChoCH)
Current market range
Optional internal Fibonacci levels
Optional confirmation filters (ATR, Volume, MACD, Gap detection)
Important
This script is NOT a trading strategy.
It does NOT generate buy or sell signals, does NOT predict future price, and does NOT provide financial advice.
It is strictly a visual and educational tool to support discretionary analysis.
How to Use This Indicator
This tool is intended to be used as a context and structure guide, not as a signal generator.
Market Structure Reading
HH / HL → Bullish structure
LH / LL → Bearish structure
Observe how price reacts after BOS or ChoCH events.
BOS vs ChoCH
BOS confirms continuation in the current trend.
ChoCH highlights a potential structural shift.
Strength is visually differentiated using optional filters.
Range Awareness
Yellow dotted lines represent the current active range.
Useful for identifying consolidation, expansion, or compression phases.
Fibonacci Context (Optional)
Internal Fibonacci levels visualize retracements inside the last structure range.
Designed for context only, not entries.
Community Usage Guidelines
This indicator is built to encourage shared learning and discussion:
Share charts showing clean BOS / ChoCH examples.
Compare structure behavior across different markets and timeframes.
Discuss price behavior, not signals.
Use screenshots to explain why structure matters.
If you publish ideas using this indicator:
Focus on market structure explanation.
Avoid calling entries or targets.
Keep analysis educational and transparent.
Final Notes
Market structure is not about prediction, but about understanding price behavior.
This tool aims to help traders see the market more clearly, reduce noise, and develop stronger analytical skills.
If you find this indicator useful:
Like
Share insights
Collaborate respectfully with the community
Order Flow + Mean Reversion + Vol S/R + MTFW mean reversion script i got 100 percent on a new york open
Reversal Patterns ProReversal Patterns Pro tracks Engulfing Candles with Displacement. The price of the following candle does not open at the last close, which is often a signal of a trend reversal or a strong trend continuation accompanied by high delta. It shows Hammer Patterns only when price is overbought/oversold according to RSI Levels. The indicator visualizes strong Wick Rejections when RSI is overbought and oversold, which is historically important in order to trade Supply & Demand.
NTrades [IFVG Model + SMT]NTrades – IFVG Model + SMT
NTrades – IFVG Model + SMT is a multi-concept market structure indicator designed to identify high-probability intraday trading opportunities by combining Directional Fair Value Gaps (IFVG), Smart Money Technique (SMT) divergences, and Higher Timeframe (HTF) candle projections into one streamlined tool.
Key Features
✅ Directional IFVG Model
Detects and plots 15-minute Fair Value Gaps aligned with a selected daily market bias (Bullish or Bearish).
Filters FVGs using customizable lookback days and automatically extends zones for forward reference.
Focuses on post-NY open price inefficiencies for higher institutional relevance.
✅ SMT Divergence Detection
Identifies pivot-based SMT divergences between the main chart symbol and up to two external correlated markets.
Highlights bullish and bearish liquidity displacements using customizable styling.
Allows timeframe-specific SMT visibility for cleaner chart analysis.
✅ Adjacent 15M SMT Confirmation
Detects short-term SMT shifts between consecutive 15-minute candles.
Provides rapid confirmation of potential liquidity grabs and reversals using visual divergence lines.
✅ Higher Timeframe Candle Overlay
Displays projected HTF candles directly on the chart with optional Heikin Ashi smoothing.
Includes projected Open, High, Low, and Close levels for precision execution and context.
Supports automatic timeframe selection or fully customizable HTF settings.
✅ Advanced Customization
Adjustable visual styling for FVGs, SMT signals, and HTF candles.
Custom session opening time support.
Flexible projection levels and display options for cleaner workflow integration.
