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Combined Historical Volatility and Stochastic with Fast/SlowCombined Historical Volatility & Fast/Slow Stochastic
Combined Historical Volatility and Stochastic with Fast/Slow is a multi‑purpose momentum and volatility indicator designed to give traders a deeper understanding of market conditions. It merges two essential analytical components—Fast/Slow Stochastic oscillators and Normalized Historical Volatility—into a single, easy‑to‑read panel.
🎯 Key Features
1. Fast & Slow Stochastic Oscillators
The script calculates and plots two independent Stochastic structures:
Fast Stochastic (%K Fast / %D Fast)
Highly responsive, ideal for short‑term momentum shifts.
Slow Stochastic (%K Slow / %D Slow)
Smoothed version for cleaner, more stable signals.
Both are displayed together, allowing traders to compare short‑term vs. medium‑term momentum dynamics.
2. Normalized Historical Volatility
The indicator computes Historical Volatility using:
Standard deviation of price
EMA smoothing
Normalization into a 0–100 scale
This normalization allows volatility to be plotted in the same panel as the Stochastic oscillators, making it easy to see whether signals occur during high‑volatility or low‑volatility environments.
📈 What You Can Identify
Overbought and oversold zones (20/80 levels)
Agreement or divergence between Fast and Slow Stochastic
Volatility spikes that may confirm or invalidate momentum signals
Market conditions where momentum signals are more reliable
Trend exhaustion, reversals, and consolidation phases
🧠 Practical Use Cases
Filtering Stochastic signals using volatility
Detecting high‑probability reversal zones
Timing entries during volatility expansions
Avoiding trades during low‑volatility noise
Works on all markets: Forex, Crypto, Stocks, Indices, Commodities Wskaźnik
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Momentum Ignition Radar [forexobroker]Momentum Ignition Radar detects "ignition events" -- bars where four independent conditions line up simultaneously to produce an explosive directional move. A volume spike, a range expansion, a close at the very edge of the bar, and a compressed prior window all combine into a single 0-100 Ignition Score. When the score breaches the threshold, the bar is classified as BUILDING, STRONG, EXPLOSIVE, or NUCLEAR, and a directional signal fires.
This indicator is designed for momentum traders who want to catch breakouts at their earliest high-conviction bar rather than chasing them several bars later. By scoring four compound factors instead of relying on a single condition, it filters out average breakouts and highlights only the bars where all the ingredients for a sustained move are present.
🔶 CONCEPTS
Sustained momentum moves rarely begin with a random wide bar. They almost always begin with a specific structural signature: the market has been quiet (prior compression), volume suddenly floods in, the range dilates well beyond recent norms, and the bar closes decisively at one of its extremes rather than in the middle. Each of these alone is a weak signal; together they form an ignition. Scoring them additively produces a robust filter that rewards the combination rather than any single ingredient.
🔶 HOW IT WORKS
- Calculates four components, each scored 0-25: Volume Spike, Range Expansion, Close Extreme, Prior Compression
- Sums them into a 0-100 Ignition Score and assigns a grade (BUILDING/STRONG/EXPLOSIVE/NUCLEAR)
- Fires BUY when score >= threshold on a bullish close; SELL when score >= threshold on a bearish close
- Cooldown prevents repeated signals within a user-defined window
- Optional radar-sweep background tints the entire ignition bar
🔶 HOW TO USE
1. Add the indicator -- the ignition dashboard (top-right) updates every bar with current component scores
2. Watch the Ignition Score: BUILDING (40+) shows conditions assembling, EXPLOSIVE (75+) is the prime entry zone
3. Green BUY triangles with "IGNITE ↑" label fire on bullish ignitions; pink SELL triangles on bearish ones
4. The radar-sweep background tints the ignition bar so you can scan history quickly for prior setups
5. Raise the Ignition Score Threshold for only NUCLEAR-grade entries; lower it for more frequent signals on faster timeframes
🔶 FEATURES
- Non-repainting signals (barstate.isconfirmed)
- Works on all timeframes and instruments
- 9 alert conditions with JSON webhook support
- Four-component additive scoring system with live breakdown
- Ignition grade classifier (BUILDING / STRONG / EXPLOSIVE / NUCLEAR)
🔶 SETTINGS GUIDE
- Volume SMA Length -- Baseline for volume spike detection
- ATR Length -- Volatility reference for range expansion and compression measurement
- Volume Spike Multiplier -- Volume must exceed this multiple of SMA to earn full volume score
- Range Expansion Multiplier -- Bar range must exceed this multiple of ATR for full range score
- Close Extreme Threshold -- How close (as fraction of bar range) the close must be to the top/bottom extreme
- Prior Compression Bars -- Number of bars whose average range is checked for prior quietness
- Compression Ratio -- Prior average range must be below this fraction of ATR to earn full compression score
- Ignition Score Threshold -- Minimum 0-100 composite score to trigger signal
- Signal Cooldown Bars -- Minimum bars between consecutive signals
🔶 ALERTS
- MIR Buy Ignition -- Bullish ignition event confirmed
- MIR Sell Ignition -- Bearish ignition event confirmed
- MIR Any Signal -- Any directional ignition
- MIR Nuclear -- Ignition score reaches 90+
- MIR Volume Spike -- Volume exceeds spike multiplier
- MIR Range Expansion -- Range exceeds expansion multiplier
- MIR Compression -- Prior-bar compression detected
- MIR Any Ignition Bar -- Ignition bar detected (before direction filter)
- MIR Webhook JSON -- Generic webhook payload for external automation
🔶 LIMITATIONS & DISCLAIMER
- This is a technical analysis tool, not financial advice. Always use proper risk management.
- Past ignition events do not guarantee future price movements.
- Signals fire on bar close; acting on unconfirmed live bars will introduce repaint risk.
- The Ignition Score is an additive heuristic over four structural factors, not a statistically calibrated probability of a profitable outcome.
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MU indicator ict The indicator plots 4 ICT concepts directly on your chart:
1. Fair Value Gaps (FVG)
Colored boxes that appear when there's an imbalance between 3 candles — price tends to come back and fill these. Green = bullish gap, Red = bearish gap.
2. Order Blocks (OB)
Boxes that mark the last candle before a big move — these are areas where institutions placed orders. Blue = bullish OB, Orange = bearish OB.
3. Liquidity Sweeps
Dotted lines at swing highs and lows (where stop losses cluster). When price wicks through one and closes back, it labels it "SWEEP ↑" or "SWEEP ↓" — this signals a potential reversal.
4. Market Structure Shift (MSS)
When price breaks a key swing high or low, it labels it "MSS ▲" or "MSS ▼" — this tells you the trend may be changing direction.
The idea is you look for these concepts to line up — for example, a liquidity sweep into an order block with an FVG nearby, followed by an MSS, is a classic ICT entry signal.
Want me to add anything else to it, like Killzones, NWOG/NDOG, or Premium/Discount zones? Wskaźnik
RalisLine SpreadRalisLine Spread is a companion histogram for the RalisLine overlay. It measures the percentage gap between the fastest and slowest smoothed moving averages in a 4-SMMA ribbon, rendering that spread as a color-coded histogram below the chart. Gold bars above zero mean the ribbon is fanned out bullish — all four SMAs aligned with the fast line leading upward. Blue bars below zero mean bearish alignment. Gray bars appear when the ribbon is tangled — the inner lines disagree with the outer lines, indicating a regime transition is in progress.
The indicator uses a 3-state regime classification that goes beyond simple spread direction. It's not enough for the fast SMMA to be above the slow one — the two inner lines must also confirm the alignment. This "inconclusive" detection prevents false regime calls during crossover periods when the ribbon is tangled and direction is genuinely uncertain.
A 9-period EMA signal line (magenta) overlays the histogram. When the spread crosses above its signal line, a green triangle marks the crossover — momentum is building and the regime is strengthening. When it crosses below, a red triangle marks the fading — momentum is weakening. These signal line crossovers typically lead regime flips by several bars, giving you early warning before the RalisLine overlay changes color. A MACD-style fill between the spread and signal line shades green when spread is above signal and red when below, making the momentum relationship visible at a glance.
Bar brightness indicates acceleration. When the spread is growing in its current direction — bullish bars getting taller or bearish bars getting deeper — bars render at full brightness. When the spread is shrinking toward zero (regime fading), bars dim to 50% opacity. This means a bright gold bar is a strengthening bull trend, while a dim gold bar is a bull trend losing steam. The dimming often appears several bars before a regime flip, adding another layer of early warning beyond the signal line crossovers.
An optional percentile reference line (off by default, toggle in settings) ranks the current absolute spread against a 120-bar rolling history using ta.percentrank(). This solves the cross-asset comparison problem — a 2% spread on gold means something very different than 2% on a volatile altcoin. The percentile line turns orange above the 80th percentile (spread is extreme for this asset), blue below the 20th (spread is compressed, transition likely), and white in between. The percentile value is always shown in the info table even when the line is hidden.
The info table displays five fields: Regime (BULLISH/BEARISH/NEUTRAL with color-coded background), Spread (current percentage), Momentum (GROWING or FADING based on acceleration), Percentile (rank against rolling history), and Signal (ABOVE or BELOW the signal line). The table can be toggled off in settings for a cleaner pane.
Six alert conditions are available: Signal Cross Up (spread crossed above signal EMA), Signal Cross Down (spread crossed below), Zero Cross Up (spread turned positive — fast SMMA now leading slow), Zero Cross Down (spread turned negative), Regime to Bullish (ribbon aligned bullish from inconclusive or bearish), and Regime to Bearish (ribbon aligned bearish).
Default SMMA lengths are 8/16/24/32 on HL2, matching the RalisLine overlay for synchronized regime reads. For best results, use both indicators on the same chart — RalisLine shows the structural ribbon directly on price while RalisLine Spread shows the momentum and conviction beneath it. The signal line crossovers on the Spread often fire 3–5 bars before the RalisLine flip dots appear on the overlay, giving you a head start on regime transitions.
Works on any asset and any timeframe. No repainting. Wskaźnik
Market State Distribution Engine v2 [Breadth Model]Market State Distribution
Market State Distribution is a breadth-based market internals indicator designed to visualize the balance between demand and supply using underlying participation, structural strength, and leadership behavior.
Rather than relying on price alone, the model aggregates multiple internal components into a normalized framework to help evaluate whether conditions are improving, weakening, or transitioning.
This script is intended for educational and informational purposes only. It does not provide financial advice or standalone trading signals.
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Overview
Market State Distribution is built to help evaluate underlying market conditions using internal breadth data.
Instead of focusing on a single metric, the model combines multiple internal inputs into a unified structure. This allows users to assess whether internal conditions appear:
• Supportive
• Weakening
• Mixed or transitional
The goal is to provide a simplified view of broader market conditions.
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Quick Read Guide
• Demand > Supply → Internal conditions are more supportive
• Supply > Demand → Internal conditions are weaker
• Crossovers → Potential internal shifts in control
• Expansion state → Early-stage improvement environment
• Trend state → Sustained participation and stronger conditions
• Demand ≈ Supply → Mixed / lower conviction environment
This indicator is designed as a context tool, not a signal generator.
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Data Inputs
The model uses breadth-style market internals as its primary inputs. By default, these include:
• Percent of symbols above intermediate-term moving average (INDEX:S5FI)
• Percent of symbols above longer-term moving average (INDEX:S5TH)
• New highs minus new lows (INDEX:NYHL)
These inputs are used to approximate:
• Participation (breadth of strength)
• Structural strength (trend stability)
• Leadership behavior (expansion vs deterioration)
Some data inputs may require specific Trading View subscriptions.
Users may substitute equivalent symbols depending on availability.
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Core Model Components
Participation Strength
Measures how broadly strength is distributed across the market using intermediate-term breadth data.
Higher values suggest broader participation; lower values suggest narrowing conditions.
Structural Strength
Represents longer-term trend alignment using broader participation above long-term averages.
Helps assess whether underlying structure is supportive or deteriorating.
Leadership Behavior
Uses new highs vs new lows data to evaluate whether leadership is expanding or weakening.
Provides confirmation beyond participation metrics alone.
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State Modeling
The indicator transforms the underlying inputs into normalized components and combines them into a synthetic state model.
The model estimates the relative distribution of:
• Trend
• Expansion
• Decay
• Transition
These are descriptive categories designed to reflect current internal conditions, not predict future price movement.
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Demand vs Supply Framework
The core output of the indicator is the relationship between Demand and Supply:
• Demand = Trend + Expansion components
• Supply = Decay component
Interpretation (contextual, not prescriptive):
• Demand > Supply → Internal conditions may be more supportive
• Supply > Demand → Internal conditions may be weaker
• Demand ≈ Supply → Conditions may be mixed or transitional (lower conviction environment)
This framework is intended to help interpret internal market tone.
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State Classification
The indicator classifies the current environment into one of four states:
• Trend
• Expansion
• Decay
• Transition
These labels summarize which internal condition appears most dominant.
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Shift Detection
The model evaluates changes in the Demand/Supply relationship to identify internal shifts:
• Demand crossing above Supply → Improving conditions
• Supply crossing above Demand → Deteriorating conditions
• No crossover → No significant change
This is designed to highlight internal shifts, not generate trade signals.
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Visualization
Primary Lines
• Demand
• Supply
These are plotted in a separate pane to visualize internal strength vs deterioration over time.
Summary Table (Optional)
Provides a structured overview of:
• Control (Demand vs Supply dominance)
• Breadth condition
• Market condition
• State classification
• Shift
• Read (contextual interpretation)
• Bias (contextual framing)
Optional end-of-line labels can be enabled for clarity.
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How to Use
This indicator is designed as a market context tool.
A typical workflow may include:
1. Applying the indicator to a broad market index
2. Observing whether Demand or Supply is dominant
3. Reviewing the state table for context
4. Combining insights with price structure, volatility, and risk management
The objective is to support contextual awareness—not replace independent analysis.
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Configurable Inputs
Data Sources
• Custom breadth symbols for participation, structure, and leadership inputs
Logic Settings
• Smoothing length
• Control gap threshold
• Demand strength/weakness levels
• Decay dominance level
Display Options
• Show/hide summary table
• Show/hide line labels
• Show/hide reference levels
• Table size customization
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Important Notes
• This script is provided for educational and informational purposes only
• It does not provide financial advice or trade recommendations
• It does not execute trades or manage positions
• Outputs are descriptive, not predictive
• Historical behavior does not guarantee future results
• Data availability may vary depending on your Trading View plan
All trading decisions should be made using independent judgment and appropriate risk management.
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