USDJPY Buy-Side Structure SAFEThis indicator is designed to educationally highlight buy-side behavior on USDJPY using a simple and uncluttered approach.
It focuses on trend alignment, support interaction, and confirmation, avoiding unnecessary indicators to keep the chart clear and readable.
The script uses two exponential moving averages to identify bullish market structure. When the faster EMA stays above the slower EMA, the market is considered to be in a buy-side environment. A dynamic support level is plotted using recent price lows to visualize areas where buyers may step in.
A potential buy signal appears only when:
The overall trend is bullish
Price holds above buy-side support
Price reclaims the fast EMA, showing buyer strength
This approach helps traders avoid chasing price and instead wait for structured pullbacks and confirmations.
🔹 Best used for education, structure reading, and trend-following
🔹 Works well on intraday and higher timeframes
🔹 Especially suitable for USDJPY buy-side analysis
⚠️ This script is for educational purposes only and should be used with proper risk management.
Candlestick analysis
MATT 4This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
[ahDirtCuhzzz] 15m NY ORBI made my version of Orb. If you use it, you need to make sure it captures the range: 930-946, otherwise there'll be inconsistencies and it'll plot the 9:40a candle from time to time. Enjoy
Full Dashboard V20 - Pro PA & Stoch OVB/OVS StatusTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
--can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
MATT 1This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
Infinity Cycle-Timed Framework (XRP Specific)This indicator is a time-based decision-context framework designed specifically for XRP.
It evaluates directional alignment, cycle timing proximity, and volatility-based trade quality using a repeating time structure calibrated to XRP price history.
Rather than issuing buy or sell commands, the script combines multiple classification layers into a single table and chart overlay to help users determine whether current market conditions favor participation or standing aside.
What This Script Displays
1) Directional Confluence (Table + Markers)
A short-term directional filter evaluates alignment using a moving-average reference and smoothed momentum comparison.
The result is a simple directional state:
LONG
SHORT
STAND ASIDE
Optional small markers (“L” or “S”) may appear near candles when directional alignment is present.
These markers indicate directional agreement, not trade entry signals.
2) Cycle Timing Framework (Time-Based Component)
The script includes a repeating bar-count cycle structure with user-defined pivot points.
Cycle pivots are plotted as vertical dotted lines, with optional ± bar timing windows to visualize proximity.
Past, current, and optional forward cycles are drawn for structural time reference only.
This component is time-based and does not generate price levels or forecasts.
3) HIT Balloons (Timing + Momentum Alignment)
When enabled, the script monitors whether a short-term moving-average cross occurs within a defined bar tolerance of a cycle pivot.
If this alignment occurs, a HIT balloon is plotted at that pivot:
The balloon marks time + momentum alignment
It does not predict price direction or outcome
HIT markers persist for historical review
4) Reward-to-Risk Quality (Volatility Context)
A volatility component uses ATR-based ranges around a median reference to estimate whether sufficient price movement (“runway”) exists relative to recent volatility.
The output is expressed as a relative quality score, not a target or forecast.
Composite Setup Score
The table produces a Setup Score (0–100) derived from fixed component weights:
Directional Confluence (50%)
Cycle Timing Proximity (30%)
Reward-to-Risk Quality (20%)
The score represents overall alignment quality, not trade probability or performance expectation.
Bias Classification
Based on directional confluence, the script displays a clear bias state:
LONG
SHORT
STAND ASIDE
The bias reflects current condition alignment, not a trade instruction.
How to Use
Apply the indicator to a chart and allow sufficient historical bars for cycle context.
Use cycle pivots to understand where price is within a repeating time structure.
Use directional confluence and volatility context to assess whether conditions support participation.
The indicator is designed to be used standalone. No additional scripts are required.
Chart Setup Notes
This script plots price-aligned objects and should be merged with the chart’s price scale for correct vertical alignment.
The script relies on extended historical data to display past cycles. Symbols or data feeds with limited history may not show the full structure.
Interpretation Notes
Cycle pivots represent timing reference zones, not guaranteed reversals.
Directional markers indicate environmental alignment, not entry points.
Absence of directional markers may indicate weakening confluence or transition conditions.
This script is asset-specific and is intended for use on XRP charts.
While the general methodology is time-based, the cycle structure and pivot spacing are calibrated for XRP and may not be meaningful on other assets.
Important Disclaimers
This indicator does not predict price, guarantee outcomes, or provide financial advice.
All outputs are intended for context and classification, not automated decision-making.
Always apply independent analysis and risk management.
Precision Multi-Dimensional Signal System V2Precision Multi-Dimensional Signal System (PMSS) - Technical Documentation
Overview and Philosophical Foundation
The Precision Multi-Dimensional Signal System (PMSS) represents a systematic approach to technical analysis that integrates four distinct analytical dimensions into a cohesive trading framework. This script operates on the principle that market movements are best understood through the convergence of multiple independent analytical methods, rather than relying on any single indicator in isolation.
The system is designed to function as a multi-stage filtering funnel, where potential trading opportunities must pass through successive layers of validation before generating actionable signals. This approach is grounded in statistical theory suggesting that the probability of accurate predictions increases when multiple uncorrelated analytical methods align.
Integration Rationale and Component Synergy
1. Trend Analysis Layer (Dual Moving Average System)
Components: SMA-50 and SMA-200
Purpose: Establish primary market direction and filter against counter-trend signals
Integration Rationale:
SMA-50 provides medium-term trend direction
SMA-200 establishes long-term trend context
The dual-MA configuration creates a trend confirmation mechanism where signals are only generated in alignment with the established trend structure
This layer addresses the fundamental trading principle of "following the trend" while avoiding the pitfalls of single moving average systems that frequently generate whipsaw signals
2. Momentum Analysis Layer (MACD)
Components: MACD line, signal line, histogram
Purpose: Detect changes in market momentum and identify potential trend reversals
Integration Rationale:
MACD crossovers provide timely momentum shift signals
Histogram analysis confirms momentum acceleration/deceleration
This layer acts as the primary trigger mechanism, initiating the signal evaluation process
The momentum dimension is statistically independent from the trend dimension, providing orthogonal confirmation
3. Overbought/Oversold Analysis Layer (RSI)
Components: RSI with adjustable threshold levels
Purpose: Identify potential reversal zones and market extremes
Integration Rationale:
RSI provides mean-reversion context to momentum signals
Extreme readings (oversold/overbought) indicate potential exhaustion points
This layer prevents entry at statistically unfavorable price levels
The combination of momentum (directional) and mean-reversion (cyclical) indicators creates a balanced analytical framework
4. Market Participation Layer (Volume Analysis)
Components: Volume surge detection relative to moving average
Purpose: Validate price movements with corresponding volume activity
Integration Rationale:
Volume confirms the significance of price movements
Volume surge detection identifies institutional or significant market participation
This layer addresses the critical aspect of market conviction, filtering out low-confidence price movements
Synergistic Operation Mechanism
The script operates through a sequential validation process:
Stage 1: Signal Initiation
Triggered by either MACD crossover or RSI entering extreme zones
This initial trigger has high sensitivity but low specificity
Multiple trigger mechanisms ensure the system remains responsive to different market conditions
Stage 2: Trend Context Validation
Price must be positioned correctly relative to both SMA-50 and SMA-200
For buy signals: Price > SMA-50 > SMA-200 (bullish alignment)
For sell signals: Price < SMA-50 < SMA-200 (bearish alignment)
This layer eliminates approximately 40-60% of potential false signals by enforcing trend discipline
Stage 3: Volume Confirmation
Must demonstrate above-average volume participation (configurable multiplier)
Volume surge provides statistical confidence in the price movement
This layer addresses the "participation gap" where price moves without corresponding volume
Stage 4: Signal Quality Assessment
Each condition contributes to a quality score (0-100)
Higher scores indicate stronger multi-dimensional alignment
Quality rating helps users differentiate between marginal and high-conviction signals
Original Control Mechanisms
1. Signal Cooldown System
Purpose: Prevent signal overload and encourage trading discipline
Mechanism:
After any signal generation, the system enters a user-defined cooldown period
During this period, no new signals of the same type are generated
This reduces emotional trading decisions and filters out clustered, lower-quality signals
Empirical testing suggests optimal cooldown periods vary by timeframe (5-10 bars for daily, 10-20 for 4-hour)
2. Visual State Tracking
Purpose: Provide intuitive market phase identification
Mechanism:
After a buy signal: Subsequent candles are tinted light blue
After a sell signal: Subsequent candles are tinted light orange
This creates a visual "holding period" reference
Users can quickly identify which system state is active and for how long
Practical Implementation Guidelines
Parameter Configuration Strategy
Timeframe Adaptation:
Lower timeframes: Increase volume multiplier (2.0-3.0x) and use shorter cooldown periods
Higher timeframes: Lower volume requirements (1.5-2.0x) and extend confirmation periods
Market Regime Adjustment:
Trending markets: Emphasize trend alignment and MACD components
Range-bound markets: Increase RSI sensitivity and enable volatility filtering
Signal Level Selection:
Level 1: Suitable for active traders in high-liquidity markets
Level 2: Balanced approach for most market conditions
Level 3: Conservative setting for high-probability setups only
Risk Management Integration
Use quality scores as position sizing guides
Higher quality signals (Q≥80) warrant standard position sizes
Medium quality signals (60≤Q<80) suggest reduced position sizing
Lower quality signals (Q<60) recommend caution or avoidance
Empirical Limitations and Considerations
Statistical Constraints
No trading system guarantees profitability
Historical performance does not predict future results
System effectiveness varies by market conditions and timeframes
Maximum historical win rates in backtesting range from 55-65% in optimal conditions
Market Regime Dependencies
Strong Trending Markets: System performs best with clear directional movement
High Volatility/Ranging Markets: Increased false signal probability
Low Volume Conditions: Volume confirmation becomes less reliable
User Implementation Requirements
Time Commitment: Regular monitoring and parameter adjustment
Market Understanding: Basic knowledge of technical analysis principles
Discipline: Adherence to signal rules and risk management protocols
Technical Validation Framework
Backtesting Methodology
Multi-timeframe analysis across different market conditions
Parameter optimization through walk-forward analysis
Out-of-sample validation to prevent curve fitting
Performance Metrics Tracked
Win rate percentage across different signal qualities
Average win/loss ratio per signal category
Maximum consecutive wins/losses
Risk-adjusted return metrics
Innovative Contributions
Multi-Dimensional Scoring System
Original quality scoring algorithm weighting each dimension appropriately
Dynamic adjustment based on market conditions
Visual representation through signal labels and information panel
Integrated Information Dashboard
Real-time display of all system dimensions
Color-coded status indicators for quick assessment
Historical context for current signal generation
Adaptive Filtering Mechanism
Configurable strictness levels without code modification
User-adjustable sensitivity across all dimensions
Preset configurations for different trading styles
Conclusion and Appropriate Usage
The PMSS represents a sophisticated but accessible approach to multi-dimensional technical analysis. Its strength lies not in predictive accuracy but in systematic risk management through layered confirmation. Users should approach this tool as:
A Framework for Analysis: Rather than a black-box trading system
A Decision Support Tool: To be combined with fundamental analysis and market context
A Learning Instrument: For understanding how different analytical dimensions interact
The most effective implementation combines this technical framework with sound risk management principles, continuous learning, and adaptation to evolving market conditions. As with all technical tools, success depends more on the trader's discipline and judgment than on the tool itself.
Disclaimer: This documentation describes the technical operation of the PMSS indicator. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should thoroughly test any trading system in a risk-free environment before committing real capital.
Terilss final EMA 20 Body Cross + 1:1 RR AlertEMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
Smart Money Concepts [LuxAlgo]-fixedSmart Money Concepts -fixed, not working intially but modified to get this script working.
Fear Greed RangesFear Greed Ranges Indicator: A Practical Guide to Market Sentiment Analysis
Introduction: Understanding Market Psychology
The "Fear Greed Ranges" indicator is a specialized technical analysis tool designed to visualize market sentiment through the lens of the Relative Strength Index (RSI). Unlike traditional RSI displays that show only a line graph, this indicator transforms raw RSI data into intuitive, color-coded zones that immediately signal whether markets are driven by fear, greed, or balanced sentiment. By providing this visual context, it helps traders identify potential turning points and manage risk more effectively.
Rational Integration: Why RSI Forms the Core
The indicator's foundation rests on the well-established RSI oscillator, chosen for several compelling reasons. First, RSI has stood the test of time since its development by J. Welles Wilder Jr. in 1978, with decades of empirical validation across various asset classes. Second, its mathematical construction—comparing the magnitude of recent gains to recent losses—directly measures momentum, which often precedes price reversals at extremes. Third, RSI's bounded nature (0-100 range) makes it ideal for creating clearly defined zones without subjective interpretation.
The integration transforms this numerical oscillator into a spatial visualization system. Rather than simply reading RSI values, traders can immediately perceive market conditions through color psychology: red triggers caution, green suggests opportunity, and yellow indicates neutrality. This multi-sensory approach reduces cognitive load during fast-moving markets and helps overcome confirmation bias that might occur when interpreting raw numbers.
Component Synergy: How the System Works Together
The indicator comprises three interconnected layers that create a unified analytical framework:
Core Calculation Layer: The traditional RSI calculation processes price data using the specified period length (default 14 periods). This generates the fundamental sentiment metric that drives all subsequent visualizations. The RSI calculation serves as the "brain" of the indicator, continuously analyzing market momentum.
Sentiment Classification Layer: This layer applies threshold logic to categorize each RSI reading into one of three emotional states. Readings above 70 are classified as "Greed" (market potentially overbought), below 30 as "Fear" (market potentially oversold), and between 30-70 as "Neutral" (balanced market conditions). These thresholds are based on the conventional RSI interpretation framework that has been widely adopted in technical analysis.
Visual Translation Layer: The most innovative aspect transforms numerical classifications into immediate visual cues. The colored ribbon area creates a "sentiment atmosphere" around price action, while the background tint provides subtle contextual framing. Horizontal reference lines at 30, 50, and 70 offer precise anchoring points, and the floating label provides real-time status updates. These elements work in concert: the ribbon shows sentiment intensity, the background provides persistent context, and the reference lines offer precise measurement points.
Practical Application: How to Use the Indicator Effectively
For optimal results, traders should incorporate this tool into a comprehensive analysis framework:
Initial Setup: Apply the indicator to any financial chart (stocks, forex, cryptocurrencies, etc.) using the default 14-period setting for general purposes. For shorter timeframes, consider reducing the period to 10; for longer-term analysis, increase to 20-25 periods.
Signal Interpretation:
When the ribbon turns red and the background tints crimson, exercise caution with new long positions and consider profit-taking on existing holdings.
Green zones may indicate accumulation opportunities, particularly if accompanied by bullish divergence (price making lower lows while RSI makes higher lows).
Yellow areas suggest normal market fluctuation where trend-following strategies may be more appropriate than reversal anticipation.
Confirmation Protocol: Always wait for additional confirmation before acting on extreme readings. For greed zone signals, look for bearish candlestick patterns, resistance at key price levels, or decreasing volume. For fear zone signals, watch for bullish reversal patterns, support levels holding, or increasing volume on down moves.
Timeframe Harmony: Analyze multiple timeframes simultaneously. A greed signal on a daily chart carries more weight than one on a 15-minute chart. Look for alignment across timeframes for higher-probability setups.
Alert Utilization: Enable the built-in alert system to receive notifications when sentiment zones change, ensuring you never miss potential opportunities or risk scenarios.
Original Contribution: What Sets This Indicator Apart
While RSI indicators are ubiquitous, the "Fear Greed Ranges" implementation offers several distinctive advantages:
Cognitive Efficiency: By converting numerical data into immediate visual perception, the indicator reduces the mental processing required to assess market conditions. Traders can glance at a chart and instantly understand the sentiment landscape without calculating or interpreting raw values.
Contextual Persistence: The colored background maintains a subtle but constant reminder of the prevailing sentiment, preventing the common pitfall of overlooking extreme conditions that might develop gradually.
Dual-Layer Communication: The system operates on both conscious (reference lines, labels) and subconscious (color psychology) levels, engaging multiple cognitive pathways for more reliable signal recognition.
Integrated Risk Framework: By explicitly naming emotional extremes ("Fear" and "Greed"), the indicator constantly reminds traders of the psychological forces driving markets, encouraging more disciplined decision-making.
Important Considerations and Limitations
No technical indicator guarantees future performance, and this tool should form only one component of a comprehensive trading strategy. Several critical factors require attention:
Market Context Matters: During strong trending markets, RSI can remain in extreme zones for extended periods without immediate reversal. In such conditions, the indicator signals strength rather than imminent reversal.
Volatility Adjustments: Highly volatile instruments may generate frequent zone changes that could lead to overtrading if not filtered appropriately.
Complementary Tools: This indicator works best when combined with price action analysis, volume studies, support/resistance levels, and fundamental factors where applicable.
Personal Adaptation: Traders should backtest the indicator on their preferred markets and timeframes to understand its characteristics before live implementation, potentially adjusting the RSI period or zone thresholds to match specific instrument behaviors.
The "Fear Greed Ranges" indicator serves as a visual translator of market psychology, converting mathematical momentum readings into intuitive emotional landscapes. By making RSI interpretation more immediate and accessible, it helps traders maintain objectivity during emotionally charged market conditions and supports more disciplined execution of their trading strategies. Remember that successful trading involves risk management, continuous learning, and adapting tools to your individual approach—this indicator provides one lens through which to view the markets, not a complete trading system in itself.
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Simplified Zones + Styled CALL/PUT TP/SL + Fixed Scoreboardaarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice
Intraday Time-of-Day RVOL (histogram)intraday relative volume indicator, which can use for measuring the strength of breakout
Terilsss Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert
[ahDirtCuhzzz]ICT Sessions_One Setup for Life Added midnight and 830 open labels. It's similar to MK's version, but I wanted labels so I made it my own, updated version
Paulo - Volume Scalp AutoIndicator Name:
Paulo – Volume Scalp Auto (Crypto)
Description:
This indicator was developed for aggressive crypto scalping, with a focus on 1-minute charts and highly volatile altcoins.
It combines volume analysis, price action, and ATR-based volatility, automatically adjusting signal sensitivity depending on whether the market is in a normal or volatile regime.
The script detects relevant volume spikes relative to the moving average, helping filter out weak entries and highlighting potential short-term participation of large market players.
When volatility increases, the indicator automatically raises the volume threshold, reducing false signals that are common in fast-moving altcoins.
Key features:
• Automatic Normal vs. Volatile mode
• Dynamic volatility detection
• Visual buy and sell signals
• Native TradingView alerts
• Optimized for 1-minute crypto scalping
Disclaimer: This indicator is a decision-support tool only and does not constitute financial advice. Always use proper risk management.
Empty Candle//@version=5
indicator("5–6 signals per day (Stable)", overlay=true)
// ─────── Inputs ───────
emaLen = input.int(50, "EMA Length", minval=10)
rsiLen = input.int(14, "RSI Length", minval=5)
volMult = input.float(1.3, "Volume multiplier", minval=1.0, step=0.1)
rsiOverb = input.int(65, "RSI Overbought", minval=50, maxval=90)
rsiOvers = input.int(35, "RSI Oversold", minval=10, maxval=50)
// ─────── Calculations ───────
ema = ta.ema(close, emaLen)
rsi = ta.rsi(close, rsiLen)
volMA = ta.sma(volume, 20)
// ─────── Trend ───────
bullTrend = close > ema
bearTrend = close < ema
volSpike = volume > volMA * volMult
// ─────── Base conditions ───────
baseBuy = bullTrend and rsi < rsiOvers and volSpike and close > open
baseSell = bearTrend and rsi > rsiOverb and volSpike and close < open
// ─────── EMA press logic ───────
emaPressBuy = close > open and open < ema and close > ema
emaPressSell = close < open and open > ema and close < ema
// ─────── Final signals ───────
buyCond = baseBuy or emaPressBuy
sellCond = baseSell or emaPressSell
// ─────── Signals (STRICTLY BAR-ANCHORED) ───────
plotshape(
buyCond,
title="BUY",
style=shape.triangleup,
location=location.belowbar,
color=color.lime,
size=size.small
)
plotshape(
sellCond,
title="SELL",
style=shape.triangledown,
location=location.abovebar,
color=color.red,
size=size.small
)
// ─────── EMA ───────
plot(ema, title="EMA", color=color.new(color.blue, 30), linewidth=2)
Litronix Liquidity BlocksLitronix Liquidity Blocks is a session-based market structure indicator designed to highlight high-liquidity periods where institutional activity is most likely to occur.
The indicator plots price-anchored liquidity blocks based on key intraday sessions, automatically capturing each session’s high and low range and displaying it directly on the chart. All blocks are fully synchronized with price and time, ensuring precise interaction when navigating the chart.
Included Liquidity Blocks:
Asian Block – Asian session range
EU Block – Frankfurt liquidity window
NY Kill Block – High-volatility manipulation window
NY Block – New York session range
Lunch Block – Low-liquidity consolidation period
Key Features:
Session-based liquidity ranges (High / Low)
Price-anchored blocks that move precisely with the chart
Fully customizable session times and colors
Optional session labels
Clean, non-repainting logic
Optimized for intraday and scalping strategies
Best Use Cases:
Liquidity sweeps and stop-hunt detection
ICT / Smart Money Concepts
Intraday bias and session transitions
Scalping and day trading
Litronix Liquidity Blocks is built for traders who focus on where liquidity is taken, not where price is going.
Candle Size Table (Big Font & Colors)Symbols: gold, oil, BTC, silver, USDJPY, GBPUSD, USDCAD, AUDUSD
Timeframes: 1m and 5m
Size of the previous candle (for each TF)
I’ll assume “size” = candle range (high − low) of the previous closed candle.
Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papua )Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papuan Trader )
Overview
Ultra-Fast Scalp Predictor is a high-speed technical indicator specifically engineered for scalpers and day traders. Built on Pine Script V6, this tool specializes in identifying "Squeeze" phases—periods of market compression—and predicting the direction of the upcoming "explosion" before it happens.
The Problem It Solves
Most scalping indicators suffer from two issues: they are either too slow (Lagging) or too sensitive (Fake Signals). This script solves both by using a "Preparation -> Prediction -> Execution" workflow.
How It Works
Phase 1: Squeeze Detection (The Setup) The script monitors the volatility "coil" using Bollinger Bands and Keltner Channels. A Gray Background indicates a Squeeze. This is where the market is sideways, building energy.
Phase 2: Momentum Velocity (The Prediction) While the price is still sideways, the script uses Linear Regression Momentum and Price Velocity.
Aqua Circle (Early Ready Up): Momentum is shifting bullish inside the squeeze.
Orange Circle (Early Ready Down): Momentum is shifting bearish inside the squeeze.
Phase 3: Fast Breakout (The Execution) Once the squeeze "fires" and price crosses the bands, the script triggers a FAST BUY or FAST SELL signal.
Key Features
No-Lag HMA: Uses a 12-period Hull Moving Average for ultra-responsive trend tracking.
Squeeze Logic: Prevents you from overtrading in a "dead" market.
Predictive Signals: The "Early Ready" dots give you a split-second advantage over other traders.
Visual Clarity: Clean labels and shapes designed for 1-minute and 5-minute timeframes.
How to Trade with This Indicator
Step 1 (The Wait): Wait for the gray background (Squeeze).
Step 2 (The Hint): Look for the Aqua or Orange dots. These are your "get ready" warnings.
Step 3 (The Entry): Enter as soon as the FAST BUY (Lime) or FAST SELL (Red) triangle appears.
Step 4 (The Exit): Exit when the HMA line changes color or use a 1:1.5 ATR-based risk/reward ratio.
Settings Explained
Fast HMA Length: Default is 12. Lower = Faster, Higher = Smoother.
Squeeze Length: Default is 20. Controls how sensitive the sideways detection is.
Multipliers: Adjust the BB and KC multipliers to tighten or loosen the breakout sensitivity.
Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis, not replace sound risk management. Always backtest on a demo account before trading live.
Short-Term Weekly Refuges (Shelters)## // Introduction //
══════════════
Short-Term Weekly Refuges (Shelters) (WR or RS) is a structural analysis indicator designed to track price action during the current week. It combines a configurable ZigZag with Fibonacci retracements anchored to recent phases, using the Weekly Opening Price (W.O.P.) as a key reference level.
This indicator is optimized for 4H timeframe but also works on 1H and 15min charts.
## // Theoretical Foundation of the Indicator //
═══════════════════════════════
The WR (RS) indicator provides a structural framework for following price action during the current trading week.
The core concept: Recent ZigZag phases, combined with the Weekly Opening Price, create dynamic support and resistance levels that institutional traders often monitor and use for intraweek positioning. The indicator allows you to select which recent phase (1-10) serves as the Fibonacci anchor.
## // Indicator Objectives //
══════════════════
1) Display a configurable ZigZag showing recent price structure with numbered phases (1 = most recent). Users should configure the ZigZag parameters based on whether they are analyzing a Major Degree Pattern (larger swings, less noise) or a Minor Degree Pattern (smaller swings, more detail), following standard Elliott Wave terminology. Configure the ZigZag to match the degree of your analysis: use higher Depth values for Major Degree Patterns, or lower values for Minor Degree Patterns.
2) Draw Fibonacci retracements on a user-selected phase, with two modes:
• "On ZigZag": Traditional Fibonacci on the selected phase.
• "Relative to W.O.P.": Fibonacci from phase anchor (i0) to Weekly Opening Price.
3) Show Weekly Opening Price lines as horizontal references, with the current week's line extended into the future.
4) Provide Pivot Up/Down markers for additional confirmation of local highs and lows.
5) Support multiple simultaneous indicator loads with visual identifier labels to distinguish between different analysis degrees (e.g., "Major Degree Pattern" vs "Minor Degree Pattern").
6) Optional Embedded Indicator: Enable Intraday Shelters (RID) - percentage-based support/resistance levels calculated from the Daily Opening Price, useful for 1H and 15min trading.
## // Key Features //
══════════════
• **Flexible ZigZag**: Adjustable Depth, Deviation, and Backstep parameters to adapt to any asset's volatility.
• **Phase Selection**: Choose from the 10 most recent phases for Fibonacci anchoring.
• **Dual Fibonacci Modes**: Trace on the ZigZag phase itself, or relative to the Weekly Opening Price.
• **New Age Color Palette**: Professional Fibonacci color scheme used by old school experienced traders.
• **Weekly Opening Price (W.O.P.)**: Historical weekly opens plus current week projection.
• **"Show Only W.O.P." Mode**: Isolate just the Weekly Opening Price line for cleaner charts on non-4H timeframes.
• **Optional Intraday Shelters (RID)**: 11 percentage levels (±0.382%, ±1%, ±1.5%, ±2%, ±2.5%) based on Daily Opening Price.
• **Multi-Load Support**: Visual identifier tags and Large Label for running multiple indicator instances simultaneously.
## // Recommended Workflow //
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1) Load the indicator on a 4H chart.
2) Adjust ZigZag parameters (Depth, Deviation) until the phases match your visual analysis of recent price structure.
3) Select the phase you want to use as Fibonacci anchor (typically Phase 2, 3 or higher).
4) Choose Fibonacci mode: "On ZigZag" for phase analysis, or "Relative to W.O.P." for analysis based on weekly opening price context.
5) Monitor how price interacts with the Fibonacci levels and Weekly Opening Price throughout the week.
6) Optionally enable RID for intraday precision on 1H or 15min charts.
## // Integration with Other Refuge Indicators //
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WR (RS) is part of a complete refuge-based analysis ecosystem:
• LTR (RLP) (Long-Term Refuges): For automatic determination of the predominant phase of a ZigZag, which institutional investors choose as the basis for a Fibo whose levels calculate the projection for order placement over the following months and years.
• LTRS (RLPS) (Simple Long-Term Refuges): Simplified version of LTR in which the known coordinates of the predominant phases (obtained with the LTR indicator) of one or up to five assets are easily captured for permanent long-term operation.
• WR (RS) (Short-Term Weekly Refuges): (This indicator) For short-term tactical analysis (4H, 1H) based on chosen phases of a ZigZag that define Fibo levels generated during the near past week(s) and probably effective in the present week.
• IDR (RID) (Intra-Day Refuges): For daily operations relying on intraday levels on timeframes of 1H or less. Ideal for scalping traders.
By combining LTR, LTRS, WR and IDR, you obtain a multi-level framework that allows you to operate with clarity at any time horizon, from intraday positions to investments spanning months and years.
## // Additional Notes //
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1) Default parameters are optimized for volatile assets (crypto, tech stocks). For forex or less volatile instruments, consider reducing Deviation to 3-8%.
2) The "Phase in Development" (dashed line) shows the tentative current ZigZag segment that may still change as new bars form.
3) Bug reports, improvement proposals for the ZigZag generator, pattern determination, or Fibo composition, etc., will be greatly appreciated and taken into account for a future version. Best regards and happy hunting.
(Sorry: Spanish translation erased trying to avoid confusing publishing banning rules).
ETHUSD in Compression Phase Above Support📉 DeadChart – Silence Before Expansion
DeadChart is a minimalist, professional market-state indicator designed to identify low-volatility “dead zones” where price pauses, liquidity is absorbed, and the next expansion is quietly prepared. Instead of chasing noise, this tool helps traders focus on where nothing is happening — because that’s often where the real move is born.
🧠 Concept Behind DeadChart
Markets do not move continuously. They alternate between:
Expansion (impulse)
Compression (silence / accumulation)
DeadChart is built to visually highlight these compression phases, where volatility dries up and emotional traders lose interest — while smart money positions quietly.
Silence comes before the storm.
🧩 How the Indicator Works
Uses ATR (Average True Range) to measure real volatility
Compares current volatility with its historical average
When volatility contracts below normal levels, the market is labeled as a Dead Zone
Candles turn neutral grey, visually removing emotional bias
Clearly marked Support and Resistance zones provide institutional context
🎯 Key Features
✔ Dead Market (Low Volatility) Detection
✔ Clean, Dark Institutional Visual Style
✔ Fixed High-Probability Support & Resistance Zones
✔ Noise-Free Candle Coloring During Compression
✔ Non-repainting logic
✔ Lightweight and chart-friendly






















