Aggressive Buyers & SellersShows indicators of aggressive sellers and buyers, so when you are looking at the chart closer then you will be able to make short time trade based off the indicators tell.
Jalur dan Saluran
TTM Squeeze (ThinkOrSwim style)This script is a TradingView implementation of the classic TTM Squeeze indicator popularized in ThinkOrSwim.
It is not a line-by-line replica of the proprietary ThinkOrSwim study, but it follows the same core logic and purpose:
detecting volatility compression and release, combined with directional momentum, to anticipate strong price moves.
How it works
1. Squeeze condition (volatility)
Bollinger Bands (20, 2.0) are compared against Keltner Channels (20, 1.5).
When Bollinger Bands are inside the Keltner Channel, volatility is compressed (squeeze ON).
When Bollinger Bands expand outside the Keltner Channel, volatility is released (squeeze OFF).
This is shown by the dots on the zero line:
Red dots → Squeeze ON (low volatility, market coiling)
Green dots → Squeeze OFF (volatility expanding, potential move)
2. Momentum histogram
Momentum is calculated using a linear regression of price relative to a dynamic equilibrium level (similar to ThinkOrSwim’s internal logic).
The histogram shows both direction and acceleration.
Histogram colors:
Bright green → Momentum above zero and increasing (bullish acceleration)
Dark green → Momentum above zero but decreasing (bullish deceleration)
Bright red → Momentum below zero and decreasing (bearish acceleration)
Dark red → Momentum below zero but increasing (bearish deceleration)
How to use it
The indicator is best used in three steps:
Wait for red dots (squeeze ON) → volatility compression.
Observe the histogram direction building during the squeeze.
When dots turn green (squeeze OFF), look for entries in the direction of the histogram, ideally aligned with market structure.
This indicator is not meant to be traded mechanically.
It works best when combined with:
price structure
support/resistance
higher-timeframe context
Notes
Due to platform differences, results may vary slightly from ThinkOrSwim on individual bars.
Conceptually and operationally, the indicator fulfills the same role and trading logic as the original TTM Squeeze.
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.
Supertrend by JKRSupertrend by JKR is a trend-following overlay that plots dynamic support/resistance bands around price and flips when the trend changes.
It builds a smoothed baseline using your selected moving average type (SMA, TMA, WMA, VWMA, TEMA, HMA, EMA, or VMA). Around this baseline, it computes a volatility/range offset (classic ATR mode or Dual-Thrust range mode) and creates two trailing bands:
UpTrend band (active during bullish conditions)
DownTrend band (active during bearish conditions)
When price closes beyond the active band, the indicator flips trend direction and switches to the opposite band. While the trend remains active, the band “trails” price and updates in a way that avoids stepping backwards, which helps keep the trend structure clean and stable.
Options
Trend-change arrows (optional)
Bar coloring or candle overlay (optional)
Designed to evaluate on bar close for stable signals
Tip: Increase the Multiplier to reduce flips and widen bands; reduce Period to make the trend more responsive.
RSI + Fibonacci Levels📊 RSI + Dynamic Fibonacci Retracement Levels
An enhanced version of the classic RSI indicator combined with automatic Fibonacci retracement levels. This indicator dynamically calculates RSI's support and resistance zones, helping you identify precise entry and exit points with greater accuracy.
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🎯 HOW TO USE
For optimal results, we highly recommend using this indicator in combination with EMA 200 on your main chart.
▸ LONG Setup:
• Price must be ABOVE EMA 200 (confirmed uptrend)
• Wait for RSI to pull back to Fib 0.382 or 0.5 level
• Enter when RSI shows reversal signs from these levels
▸ SHORT Setup:
• Price must be BELOW EMA 200 (confirmed downtrend)
• Wait for RSI to rally into Fib 0.618 or 0.786 level
• Enter when RSI shows rejection from these levels
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📐 FIBONACCI LEVELS EXPLAINED
The indicator automatically plots Fibonacci levels based on RSI's highest and lowest values within the lookback period:
0 → Strong support (oversold zone)
0.236 → Minor support level
0.382 → Key support (Golden Pocket start)
0.5 → Equilibrium / Balance point
0.618 → Key resistance (Golden Ratio)
0.786 → Strong resistance level
1 → Strong resistance (overbought zone)
💡 Pro Tip: The Golden Pocket (0.382 - 0.618 range) is where the strongest reactions typically occur.
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⚙️ SETTINGS
RSI Settings:
• RSI Length: Period for RSI calculation (default: 14)
• Source: Price source for calculation
• Calculate Divergence: Enable bullish/bearish divergence detection
Fibonacci Settings:
• Show Fibonacci Levels: Toggle Fib lines on/off
• Lookback Period: Bars to look back for High/Low (default: 50)
• Show Labels: Display level labels on the right side
• Label Size: Tiny / Small / Normal
• Custom colors for each Fibonacci level
Smoothing:
• Optional MA overlay (SMA, EMA, Bollinger Bands, etc.)
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📈 RECOMMENDED STRATEGY: EMA 200 + RSI Fibonacci
Step-by-step setup:
1️⃣ Add EMA 200 to your main price chart
2️⃣ Add this indicator to a separate pane
3️⃣ Identify trend direction using EMA 200
4️⃣ Look for entries at RSI Fibonacci levels
🟢 In Uptrend (Price > EMA 200):
Look for LONG opportunities when RSI pulls back to 0.382 or 0.5 level.
• Entry: RSI bounces from Fib support
• Stop Loss: Below recent swing low
• Take Profit: Previous high or 1:2 Risk/Reward
🔴 In Downtrend (Price < EMA 200):
Look for SHORT opportunities when RSI rallies to 0.618 or 0.786 level.
• Entry: RSI rejects from Fib resistance
• Stop Loss: Above recent swing high
• Take Profit: Previous low or 1:2 Risk/Reward
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⚠️ DISCLAIMER
This indicator is a tool to assist your analysis, not a standalone trading system. Always use proper risk management and confirm signals with price action. Past performance does not guarantee future results. Trade responsibly.
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📌 FEATURES
✓ Dynamic Fibonacci levels on RSI
✓ Auto-updating labels with exact values
✓ Built-in divergence detection
✓ Multiple smoothing MA options
✓ Fully customizable colors and settings
✓ Clean, professional visualization
If you find this indicator useful, please leave a like and follow for more trading tools! 🚀
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SA Range Rank WITH GRADE A SET UP 15 MIN NQI APPRECIATE YOUR SUPPORT PLEASE MESSAGE ME FOR ACCESS TO DIRECT AND POWERFUL SIGNALS. MORE TO COME !
NOTICE DEVELOPER NOTE: chatgpt.com
15 MINUTE — PREPARE / POSITION MODE
Developer Note: Bias & Position Framing
This daily view is preparatory, not executable.
The purpose of the Daily timeframe is to define directional bias, not entries. It helps frame which side of the market deserves attention and which activity should be ignored.
The goal here is context, not action.
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Purpose on Daily
The Daily timeframe is used to:
· Define directional bias for the week
· Prepare position-building zones
· Identify environments where participation is unnecessary or elevated-risk
· Reduce overtrading by narrowing focus
Daily charts answer one question only:
“If I participate this week, which side makes sense?”
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What Matters Most (Public View)
SA Range Indicator (RI): → Is the market transitioning or trending? → Is energy building, releasing, or rotating?
SA ZoneEngine (visual context only): → Are daily moves aligned with higher-timeframe structure? → Is price operating with or against dominant bias?
These visuals explain environment, not decisions.
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How to Interpret Public Daily Posts
· Daily is not timing
· Daily is not execution
· Daily is not a signal
Daily charts prepare the trader mentally and structurally by clarifying:
· what deserves patience
· what deserves caution
· what deserves no attention at all
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Messaging Line
“Daily charts prepare the trade — they don’t execute it.”
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SEO Intent
daily equity bias, position preparation, market structure analysis
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For Those Who Find Value
If these daily posts help you see the market more clearly:
· Follow, boost, and share my scripts, Ideas, and MINDS posts
· Feel free to message me directly with questions or build requests
· Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
· Additional signal access
· Early previews
· Occasional free tools and upgrades
Membership & Signals trianchor.gumroad.com
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⏱ 15-MIN — PREPARE / POSITION MODE
Developer Note: Setup Formation Phase
The 15-minute timeframe is where setups begin to form, not where they are acted on.
This view exists to separate developing structure from noise.
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Purpose on 15-Minute
The 15-minute timeframe is used to:
· Spot trap-prone conditions
· Identify developing structure
· Observe compression, rotation, or early expansion
· Prepare for execution — without acting
This timeframe answers a different question:
“Is something forming — or is this noise?”
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What Matters Most (Public View)
SA Range Indicator (RI): → Compression → expansion transitions → Energy buildup vs premature release
SA CloudRegimes (visual only): → Whether price behavior reflects continuation, pullback, or contraction → Whether movement is controlled or impulsive
These visuals describe behavior, not entries.
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How to Interpret Public 15-Minute Posts
· 15m is setup formation
· 15m is environmental awareness
· 15m is not execution
Most errors occur when traders act before structure has finished forming.
This timeframe exists to slow that impulse down.
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Messaging Line
“Preparation happens before the move — not during it.”
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For Those Who Find Value
If these posts help you better recognize developing structure:
· Follow, boost, and share my scripts, Ideas, and MINDS posts
· Feel free to message me directly with questions or build requests
· Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
· Additional signal access
· Early previews
· Occasional free tools and upgrades
Membership & Signals trianchor.gumroad.com
15 Minute (15m) — Tactical Entry Alignment / “Permission + Timing”
Goal: Convert higher-timeframe permission into tradable timing.
How to use:
· Trade the first clean reclaim after a pullback.
· Avoid taking a reclaim if price is already extended far beyond the wake edge (late reclaim).
Best conditions:
· Works extremely well when:
o 1H agrees
o session structure is active (open/close windows)
o reclaim occurs near VWAP or a key level you already respect
Settings:
· dispMult 0.75–1.05
· reclaimWindow 6–14
· cooldown 3–6
15-MINUTE — Intraday Structure & Session Logic
Range Indicator (RI)
· Session compression → impulse likely
· Expansion → follow, don’t fade
Use: Defines session behavior.
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ZoneEngine (Structure)
· Filters session traps
· Explains failed breakouts
Use: Keeps you aligned with real participation.
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Cloud / Reclaim (Behavior)
· Identifies pullback vs continuation
· Reclaim confirms acceptance
Use: Contextual confirmation.
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Stop-Hunt Proxy
· Session liquidity sweeps
· Common near opens and transitions
Use: Stop-hunt + compression = likely session impulse.Execution Confirmation (Chart TF)
VWAP location
SMA(3) vs SMA(8)
Candle color (green/red)
WAIT State (NO CONFIRMED TRADE)
When the market is in a specific “trap regime,” the script blocks trades completely.
Grade-A setups (the only ones you trade)
✅ Grade-A Long = B+ Confirmed
A B+ print is your “Grade-A Long permission + execution alignment.”
B+ only fires when ALL are true:
Bull Permission is ON (macro score meets threshold)
WAIT is OFF
Candle is green (close > open)
Price is ABOVE VWAP
SMA(3) > SMA(8)
Translation:
Liquidity + rates are supportive, the market is positioned to move up, and price is already trading like institutions are pressing.
✅ Grade-A Short = B− Confirmed
A B− print is your “Grade-A Short permission + execution alignment.”
B− only fires when ALL are true:
Bear Permission is ON
WAIT is OFF
Candle is red (close < open)
Price is BELOW VWAP
SMA(3) < SMA(8)
Translation:
Liquidity + rates are pressuring, volatility is supportive of downside, and price is already trading under VWAP with downside momentum.
🟫 WAIT State = NO CONFIRMED TRADE
When the background turns gray (WAIT), you do nothing.
WAIT is the regime where:
downside breaks often fail
signals become unreliable
stop-hunts and reversals dominate
Your rule is simple:
WAIT = stand down until it clears.
This prevents “getting chopped to death” in the exact environment you identified as misdirection.
Step-by-step: how to use it on TradingView
Step 1 — Put it on the right instruments
Best use:
CME_MINI:NQ1! (primary)
CME_MINI:ES1!
CBOT_MINI:YM1!
CME_MINI:RTY1!
Works on equities too (SPY, QQQ, NVDA, AAPL), but it’s tuned for futures execution.
Step 2 — Use the right timeframes (this matters)
Best “Grade-A” workflow:
Chart TF (execution): 5m or 15m
Confirm TF (macro permission): 60m or 240m
Settings:
Confirm TF (intraday) = 60 for aggressive /NQ
Confirm TF = 240 for cleaner, fewer signals
If you want fewer but stronger signals: 240.
Step 3 — Confirm the data sources are valid
In Inputs:
Vol: CBOE:VIX
Dollar: TVC:DXY
Rates: CBOT:ZN1!
If that doesn’t work on your feed, change to TVC:US10Y
If these are wrong, the macro layer goes blind and signals degrade.
Step 4 — Interpret the background (your “regime map”)
Gray background: WAIT (do nothing)
Light green background: bull permission environment
Light red background: bear permission environment
Important:
Background alone is not a trade.
Only B+ / B− is a trade.
Step 5 — Execute ONLY on B+ / B− (Grade-A rule)
You do not anticipate.
You do not guess.
You do not trade “almost.”
You enter only when the indicator prints:
B+ for long
B− for short
Because those prints already include:
macro permission
VWAP location
SMA momentum alignment
candle confirmation
and WAIT suppression
Trade management (simple + effective)
For B+ (Long)
Entry: on the B+ bar close or next candle pullback that stays above VWAP
Invalidation: close back below VWAP or SMA3 falls under SMA8
Best targets (futures):
Target 1: recent swing high / session high
Target 2: VWAP band extension / next liquidity level
Hard stop: under last swing low (or your fixed points)
For B− (Short)
Entry: on the B− bar close or next candle retest that stays below VWAP
Invalidation: close back above VWAP or SMA3 crosses above SMA8
Best targets:
Target 1: recent swing low / session low
Target 2: next liquidity shelf / range low
Your “Grade-A Checklist” (print this mentally)
Before taking ANY trade:
Is WAIT OFF?
Did we get a B+ or B− print?
Is price on the correct side of VWAP?
Is SMA3 vs SMA8 aligned?
Is the candle color correct (green for B+, red for B−)?
If yes → take it.
If not → do nothing.
Why this works (the edge)
This indicator forces you to trade only when:
macro conditions allow follow-through
price action confirms institutional control (VWAP)
momentum confirms continuation (3/8 SMA)
and it blocks trades during the mischief regime (WAIT)
That combination is exactly what stops:
revenge trades
chop entries
shorting into bear traps
longing into liquidity tightening
Recommended default settings (Grade-A clean)
For /NQ:
Chart: 5m
Confirm TF: 60m
onlyOnFlip: true (less noise)
Keep VIX/DXY/ZN defaults
For “super clean”:
Chart: 15m
Confirm TF: 240m
Custom PPO Pivots - my custom colors with labelsmy favorite Camarilla Pivots indicator broke from being too old a version, so I used AI to fix the version upgrade for me, added levels I have promoted for 20 years R6 and S6, soon i will add S7 and L7 because trading silver right now requires a higher Resistance level.
The Pivot Points were invented by Wall Street pit traders and used exclusively for decades. You will never need to guess the range for a day, it's printed in advance, based on fibonacci math. you will never need to guess if you are in a buy zone or a sell zone again.
risk at S6, it is extremely risky to short here...
risk at R6 it is now risky to be long.
I wanted to be able to spot R6 and S6 instantly so they are blue. The other R levels are red beause they are a range of sell ones... The other S levels are green these are buy levels
David Hawley. dryanhawley@gmail.com
Piv X ProPiv X Pro - Advanced Pivot Detection with Multi-Timeframe Confluence Analysis
Overview
Piv X Pro identifies pivot highs and lows using a confluence scoring system. It combines pivot detection, volume-weighted analysis, Williams %R divergence, and multi-timeframe confirmation to highlight higher-probability pivot zones.
What Makes This Script Original
This script combines several components into a single workflow:
Dynamic pivot strength calculation based on ATR
Confluence scoring (10+ factors) to rank pivot quality
Multi-timeframe VWAP analysis (bottom/top extremes plus period-based VWAPs)
Williams %R divergence detection with anchored VWAPs
Market structure shift (CHoCH) identification
Real-time and confirmation modes for different trading styles
How It Works
Pivot Detection:
Uses ATR-based dynamic pivot strength (adjusts to volatility)
Filters pivots by significance (distance from recent averages)
Optional volume confirmation
Real-time mode for immediate detection or confirmation mode for verified pivots
Confluence Scoring System:
Each pivot receives a score (0-100+) based on:
Volume spikes (15 points)
Higher timeframe trend alignment (20 points)
RSI oversold/overbought conditions (25 points)
Price exhaustion signals (10 points)
RSI divergence (15 points)
Swing failure patterns (15 points)
Liquidity sweeps (10 points)
Candle reversal confirmation (10 points)
Key level alignment (10 points)
Fair value gap fills (10 points)
Session weighting (10 points)
Multi-timeframe pivot confluence (15 points)
Major Pivot Thresholds:
Real-time mode: 60+ confluence score
Confirmation mode: 80+ confluence score
Golden zones: 90+ score (highlighted differently)
VWAP Analysis:
Bottom/Top VWAPs: Anchored to absolute extremes within a lookback period
Period VWAPs: Weekly, Monthly, Yearly, plus 4D, 9D, 4H, 8H
Previous period VWAPs: Shows last period's VWAP for reference
Williams Divergence VWAPs: Anchored VWAPs triggered by bullish/bearish divergences
Market Structure:
Identifies Market Structure Shifts (CHoCH) when pivot sequences break
Draws structure lines connecting major pivots
Visual zones around major pivot levels
How to Use
Setup:
Apply to any timeframe (optimized for 1min, 5min, 15min, 1H)
Adjust pivot detection sensitivity via "ATR Pivot Strength Multiplier"
Choose Real-Time Mode (immediate) or Confirmation Mode (verified pivots)
Reading the Signals:
Major Pivot Low (PL): Green zones with confluence score
Major Pivot High (PH): Purple zones with confluence score
Golden Zones: Yellow highlights (90+ score)
CHoCH: Blue dashed lines marking structure breaks
Williams Divergence: Triangles + anchored VWAP lines
Trading Applications:
Support/Resistance: Use major pivot zones as key levels
Entry Timing: Combine confluence scores with price action
Trend Following: Use CHoCH signals for trend changes
Divergence Trading: Williams %R divergences with anchored VWAPs
Multi-Timeframe: Use HTF trend filter and VWAPs for context
Important Notes:
This is a technical analysis tool, not a trading system
Confluence scores indicate probability, not guarantees
Past performance does not predict future results
Always use proper risk management
Combine with your own analysis and strategy
Key Features
Pivot Quality Filters:
ATR-based significance filtering
Volume confirmation (optional)
Multi-timeframe confluence
Session-based weighting (optional)
Visual Elements:
Pivot zones (extendable boxes)
Structure lines (connecting major pivots)
CHoCH markers (market structure shifts)
Multiple VWAP overlays
Williams divergence markers
Customization:
Adjustable pivot strength multiplier
Enable/disable individual confluence factors
Customizable colors and visual styles
Alert system for major pivots and structure shifts
Technical Details
Open Source:
This script is open source. The code is available for review and modification. Users can see exactly how calculations are performed.
Calculations:
Pivot detection uses ta.pivothigh() and ta.pivotlow() with dynamic strength
VWAP calculations use cumulative price×volume / cumulative volume
Confluence scoring is additive based on multiple technical factors
Williams %R divergence uses pivot comparison logic
Limitations:
Historical data access limits apply (Pine Script constraints)
Structure lines limited to 500 bars for performance
Real-time mode may show pivots that later invalidate
Confirmation mode adds lag but increases reliability
Disclaimer
This script is for educational and informational purposes. It does not provide financial advice. Trading involves risk. Always do your own research and use proper risk management. Past performance does not guarantee future results.
Consolidation Zones (Range + ATR + optional ADX)Consolidation Zones — Market Compression Visualizer
Consolidation Zones is a visual market-structure indicator designed to identify periods of price compression where volatility contracts and directional movement pauses. These zones often precede expansion, breakout, or trend continuation, making them critical areas for trade preparation and risk planning. Instead of relying on a single oscillator, this script evaluates price behavior over time to detect when the market is moving sideways within a defined range. When consolidation is present, the indicator highlights the zone directly on the chart, allowing traders to immediately see where balance is occurring.
What This Indicator Helps You Do:
Identify low-volatility, sideways markets
Spot compression before expansion
Avoid entering trades during chop and noise
Prepare for breakout or breakdown scenarios
Combine structure with your existing trend or momentum tools
How to Use It
Inside the zone: Expect indecision and mean-reversion behavior
Break above the zone: Potential bullish expansion
Break below the zone: Potential bearish expansion
Use zone boundaries as context for entries, stops, and targets
This indicator is intentionally non-predictive — it does not guess direction. Instead, it provides clarity, showing where the market is coiling so you can act when price reveals intent.
Best Paired With
Trend indicators (EMA, VWAP)
Momentum tools (RSI, MACD)
Volume or volatility expansion tools
Notes
Consolidation is timeframe-dependent — zones may differ across intervals
Designed as a context tool, not a standalone signal generator
This indicator is for educational and informational purposes only.
ORB + Expected Move + Trade Bias RWCORB + Expected Move + Trade Bias v3
Overview
A comprehensive 0DTE SPX options trading indicator designed to identify optimal credit spread and iron condor setups based on Opening Range Breakout (ORB) analysis, Expected Move calculations, VWAP dynamics, and multi-factor confidence scoring. The indicator provides specific strike suggestions, real-time position management signals, and exit warnings.
Who This Is For
This indicator is built for traders who sell 0DTE SPX credit spreads (put spreads, call spreads, or iron condors) and want a systematic, data-driven approach to:
Determine trade direction (bullish, bearish, or neutral)
Select appropriate strikes based on market conditions
Manage positions with clear exit signals
Core Components
1. Opening Range Breakout (ORB)
The ORB establishes the initial trading range after market open, serving as the foundation for trade bias determination.
Settings:
ORB Period: Choose 15, 30, 45, or 60 minutes
Shorter periods (15-30 min) = more signals, more noise
Longer periods (45-60 min) = fewer signals, more reliable ranges
ORB Breakout Buffer %: Percentage buffer beyond ORB high/low before confirming breakout (default 0.1%)
Colors: Customize ORB high (green), low (red), and fill colors
How It Works:
Tracks the high and low during the ORB period
After ORB completes, monitors for breakouts above/below with buffer
Counts consecutive bars above/below ORB for confirmation
2. Expected Move (EM)
Calculates the statistically expected daily range based on Average True Range (ATR).
Settings:
ATR Length: Lookback period for ATR calculation (default 14)
ATR Multiplier: Scale the expected move (default 1.0)
Colors: Customize expected move lines and fill
How It Works:
Pulls daily ATR from the previous session
Projects expected move boundaries from session open
Used for strike distance calculations and range containment analysis
3. VWAP Analysis
Volume Weighted Average Price with standard deviation bands provides trend confirmation and stretch detection.
Settings:
Show VWAP: Toggle VWAP line visibility
Show VWAP StdDev Bands: Toggle ±1 standard deviation bands
VWAP Band Multiplier: Adjust band width (default 1.0)
VWAP Slope Lookback: Bars to measure VWAP slope (default 10)
Key Metrics:
VWAP Slope: Normalized slope indicating trend strength
Strong Up (↑↑): > 0.5
Up (↑): 0.3 to 0.5
Flat (—): -0.3 to 0.3
Down (↓): -0.5 to -0.3
Strong Down (↓↓): < -0.5
Stretched Detection: Warns when price is >1.5 standard deviations from VWAP
4. Prior Day Levels (PDH/PDL)
Yesterday's high and low serve as key support/resistance levels where institutional orders often cluster.
Settings:
Show Prior Day High/Low: Toggle PDH/PDL lines
Show Prior Day Close: Optional PDC line
Colors: Customize PDH (teal), PDL (orange), PDC (gray)
Why It Matters:
Price above PDH = strong bullish continuation signal
Price below PDL = strong bearish continuation signal
Price between PDH/PDL = range-bound, favors iron condors
Strikes are adjusted to respect these levels as potential support/resistance
Trade Signal System
Signal Time
Settings:
Signal Time (ET): Choose when the indicator evaluates and locks in the trade signal
1100 = 8:00 AM PT / 11:00 AM ET
1115 = 8:15 AM PT / 11:15 AM ET (default)
1130 = 8:30 AM PT / 11:30 AM ET
1145 = 8:45 AM PT / 11:45 AM ET
1200 = 9:00 AM PT / 12:00 PM ET
Recommendation: Later signal times (8:30-9:00 AM PT) provide more data and reduce morning fakeout signals, but leave less time for theta decay.
Confidence Scoring (9 Factors)
The indicator calculates three scores: Iron Condor (IC), Bullish, and Bearish. The highest score determines the signal.
Factor 1: Price Position vs ORB (max 40 pts)
Inside ORB → +35-40 IC points
Above ORB (confirmed breakout) → +40 Bull points
Below ORB (confirmed breakout) → +40 Bear points
Factor 2: VWAP Slope (max 30 pts)
Flat slope → +25 IC points
Strong positive slope → +30 Bull points
Strong negative slope → +30 Bear points
Factor 3: Price vs VWAP Position (max 20 pts)
Above upper band → +20 Bull points
Below lower band → +20 Bear points
Near VWAP → +12 IC points
Factor 4: VWAP Consistency (max 15 pts)
70%+ bars above VWAP → +15 Bull points
70%+ bars below VWAP → +15 Bear points
Mixed → +10 IC points
Factor 5: Move from Open (max 20 pts)
30% of EM up → +20 Bull points
30% of EM down → +20 Bear points
<12% move either way → +15 IC points
Factor 6: Trend Structure (max 15 pts)
Higher highs + higher lows → +15 Bull points
Lower lows + lower highs → +15 Bear points
No clear structure → +8 IC points
Factor 7: Day Range Containment (max 15 pts)
Range <35% of EM → +15 IC points
Range <50% of EM → +8 IC points
Range >65% of EM → Points to directional score
Factor 8: Gap Behavior (max 12 pts)
Gap up, unfilled, above ORB → +12 Bull points
Gap down, unfilled, below ORB → +12 Bear points
Gap filled, inside ORB → +8 IC points
Factor 9: Prior Day High/Low (max 20 pts)
Above PDH → +20 Bull points
Below PDL → +20 Bear points
Between PDH/PDL → +15-20 IC points
Alignment Bonuses (max 25 pts)
Additional points when multiple factors align in the same direction.
Signal Types
SignalMeaningTradeIRON CONDORRange-bound conditionsSell both put and call credit spreadsPUT SPREADBullish conditionsSell put credit spread onlyCALL SPREADBearish conditionsSell call credit spread onlyNO TRADEConflicting signals or low confidenceStay out
Confidence Levels
ConfidenceColorStrike Mode75%+Green🍆 AGGRESSIVE (tighter strikes, more premium)60-75%Lime/Yellow🌶️ NORMAL (balanced strikes)45-60%Yellow/Orange🐢 CONSERVATIVE (wider strikes, safer)<45%Orange/RedNO TRADE triggered
Strike Suggestions
Base Calculation
For Iron Condors: Strikes are calculated from current price at signal time as the midpoint, ensuring symmetric risk on both sides.
For Directional Spreads: Strikes are calculated from session open, betting on continuation.
Put Strike = Midpoint - (Expected Move × Distance)
Call Strike = Midpoint + (Expected Move × Distance)
Distance Settings:
High Confidence (75%+): 0.60 EM (default) - Tighter strikes, more premium
Mid Confidence (60-75%): 0.70 EM (default) - Balanced
Low Confidence (<60%): 0.80 EM (default) - Wider strikes, safer
Skew Adjustments
When Auto-Adjust for Skew is enabled, strikes are asymmetrically adjusted based on:
VIX Level:
VIX > 20: Puts pushed wider (-0.05), Calls pulled tighter (+0.05)
VIX < 15: Opposite adjustment
2-Day Momentum:
Strong down move: Puts pushed wider
Strong up move: Calls pushed wider
Prior Day Levels:
Below PDL: Puts pushed wider (more downside protection)
Above PDH: Calls pushed wider (more upside protection)
PDH/PDL Strike Reference
If the calculated strike is too close to PDH or PDL, the indicator adjusts to place strikes 10 points beyond these key levels (maximum 20 point adjustment).
Exit Signal System
Three-Stage Warning System
Stage 1: EARLY ⚠️ (Yellow)
Trigger: Price moves against position with:
Below VWAP AND in lower fib zones (for put spreads/IC downside)
Above VWAP AND in upper fib zones (for call spreads/IC upside)
Action: Heightened awareness. Consider reducing position or tightening mental stops.
Note: Only fires once per direction per day to avoid alert fatigue.
Stage 2: CAUTION (Orange)
Trigger:
2+ consecutive bars beyond ORB
Price has traveled 25%+ of the distance to short strike
Action: Actively manage position. Prepare to exit.
Stage 3: EXIT (Red)
Trigger:
3+ consecutive bars beyond ORB (configurable)
Price has traveled 40%+ of the distance to short strike
VWAP slope confirms the move (if enabled)
Action: Close position immediately.
Exit Settings
Exit Confirmation Bars: Consecutive bars required for EXIT signal (default 3)
CAUTION Distance %: How far toward strike before CAUTION (default 25%)
EXIT Distance %: How far toward strike before EXIT (default 40%)
Require VWAP Confirmation: EXIT only fires if VWAP slope confirms direction
Fibonacci Retracement Levels
After signal fires, fib levels are drawn between key price points:
For Iron Condors:
0% = Put Strike
100% = Call Strike
For Put Spreads:
0% = Put Strike (danger zone)
100% = Day High at signal
For Call Spreads:
0% = Day Low at signal
100% = Call Strike (danger zone)
Fib Levels Shown:
0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%
Fib Zone Tracking: The left table shows current fib zone, color-coded:
Red: Near strikes (danger)
Orange: Approaching strikes
Green: Safe middle zones
Information Tables
Left Table (Position Management)
RowDescriptionSIGNALCurrent trade signal with confidence colorConfConfidence percentageEXITCurrent exit status (HOLD/EARLY/CAUTION/EXIT)Fib ZoneCurrent price position in fib structurePDHPrior day high valuePDLPrior day low valuevs PDPosition relative to prior day rangeModeStrike mode (🍆/🌶️/🐢)PutSuggested short put strikeCallSuggested short call strikeCall Dist% distance traveled toward call strikePut Dist% distance traveled toward put strike
Right Table (Market Factors)
RowDescriptionStructureOverall market structure (BULLISH/BEARISH/RANGE/MIXED)PricePosition relative to ORBVWAPVWAP slope direction and strengthStretchedWarning if price extended from VWAPMoveCurrent move from open as % of EMEM UsedDay range as % of expected moveGapGap status (up/down, filled/unfilled)ReversalV-top or V-bottom detectionConflictAny conflicting signals detectedVIXCurrent VIX levelSkewMomentum-based skew direction
Alerts
The indicator includes pre-configured alerts:
AlertDescriptionEntry: Iron CondorIC signal firedEntry: Put SpreadBullish signal firedEntry: Call SpreadBearish signal firedHigh Confidence EntryAny signal with 75%+ confidenceNo TradeNO TRADE signal firedEARLY WARNINGEarly warning triggeredCAUTIONPosition under pressureEXIT NOWExit signal triggered
Recommended Settings
Conservative (New Traders)
ORB Period: 60 minutes
Signal Time: 1130 (8:30 AM PT)
Min Confidence: 50%
Strike Distances: 0.65 / 0.75 / 0.85
Balanced (Default)
ORB Period: 30-45 minutes
Signal Time: 1115 (8:15 AM PT)
Min Confidence: 45%
Strike Distances: 0.60 / 0.70 / 0.80
Aggressive (Experienced)
ORB Period: 30 minutes
Signal Time: 1100 (8:00 AM PT)
Min Confidence: 40%
Strike Distances: 0.55 / 0.65 / 0.75
Important Notes
This indicator does not guarantee profits. It provides a systematic framework for trade selection and management.
Paper trade first. Test the indicator on historical data and paper trade before using real capital.
Position sizing matters. Never risk more than you can afford to lose on any single trade.
Exits are suggestions. Use the exit signals as guidance, but always apply your own judgment.
Market conditions vary. The indicator performs best in normal volatility environments. Use extra caution during major news events, FOMC days, and earnings season.
SPX/SPY focused. While the indicator may work on other instruments, it was designed specifically for SPX 0DTE options trading.
Version History
v3.0
Added 45/60 minute ORB options
Added configurable signal time (8:00-9:00 AM PT)
Added stretched detection (VWAP distance warning)
Added Prior Day High/Low as scoring factor
Iron Condor strikes now centered on current price (symmetric risk)
Split table UI (left: position, right: factors)
PDH/PDL reference for strike adjustments
Credits
Developed for the 0DTE SPX options trading community. Inspired by SMB Capital's ORB methodology, VWAP analysis techniques, and real-world credit spread trading experience.
Disclaimer: This indicator is for educational and informational purposes only. It is not financial advice. Trading options involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results.
Crypto Dual MA Signal EditionCrypto Dual MA Signal Edition - Comprehensive Technical Analysis Indicator
Overview
The Crypto Dual MA Signal Edition is a sophisticated technical analysis indicator specifically designed for cryptocurrency markets, combining trend-following and momentum analysis systems into a unified framework. This indicator integrates multiple proven technical analysis concepts to provide comprehensive market insights while maintaining clear, actionable signals.
Integration Rationale & Component Synergy
1. Dual EMA Trend System + Stochastic RSI Convergence
Integration Basis: Trend-following indicators (EMA) work effectively when combined with momentum oscillators (Stochastic RSI) to filter false signals and confirm trend strength.
Synergy Mechanism:
The dual EMA system (12/25 periods) identifies primary trend direction
Stochastic RSI (14-period) provides overbought/oversold readings within that trend
Trend signals are only confirmed when both systems align, reducing whipsaws
EMA crossovers provide entry signals, while Stochastic RSI validates momentum
2. MA Filter Integration
Integration Basis: Longer-term moving averages act as trend filters to avoid trading against established market direction.
Synergy Mechanism:
200-period MA (configurable type: EMA/SMA/WMA) serves as trend benchmark
Long positions only triggered above 200-MA in bullish trends
Short positions only triggered below 200-MA in bearish trends
Provides multi-timeframe confirmation to intraday signals
3. Background Highlight System
Integration Basis: Visual cues enhance signal recognition and emphasize critical market conditions.
Synergy Mechanism:
Background colors highlight Stochastic RSI events without cluttering price chart
Different colors for different signal types (middle cross, overbought/oversold, level breaks)
Works in parallel with other systems, providing additional context without interference
Component Functions & Operational Principles
Core Components:
Dual EMA System
Fast EMA (12): Quick trend changes
Slow EMA (25): Confirmed trend direction
Mode: Switchable between dual EMA display and single EMA
Signal generation based on EMA positioning and consecutive bars
Stochastic RSI System
Combines RSI momentum with stochastic oscillator principles
Triple-smoothed (RSI → Stochastic → K/D smoothing)
Predefined levels: 80 (overbought), 50 (middle), 20 (oversold)
Multiple cross types for different market conditions
Signal Generation Logic
Consecutive count mechanism for trend persistence
"B" signals: Initial bullish EMA alignment
"S" signals: Initial bearish EMA alignment
Candlestick coloring for visual trend representation
Alert Systems
EMA cross alerts for major trend changes
Stochastic RSI cross alerts for momentum shifts
Separate alerts for different signal categories
Practical Usage Guidelines
For Trend Traders:
Primary Trend Identification: Use EMA positioning relative to 200-MA
Entry Timing: Wait for "B" or "S" signals confirmed by Stochastic RSI alignment
Trend Continuation: Monitor consecutive bar counts and candlestick colors
Exit Signals: Watch for opposing signals or Stochastic RSI divergence
For Range/Swing Traders:
Overbought/Oversold Levels: Stochastic RSI extremes (below 20/above 80)
Middle Crosses: Stochastic RSI crosses around 50 level
EMA Filter: Use 200-MA as support/resistance reference
Customization Options:
Adjust EMA periods for different trading styles
Modify Stochastic RSI parameters for sensitivity
Enable/disable background highlights based on preference
Select MA type and period for trend filtering
Originality & Unique Features
Distinctive Integration:
Consecutive Count System: Tracks trend persistence beyond simple crossovers
Unified Signal Display: Combines letters ("B"/"S"), candlestick colors, and background highlights
Flexible EMA Modes: Switch between dual and single EMA displays
Comprehensive Filtering: EMA alignment, MA position, and momentum confirmation
Practical Design Choices:
Color Scheme: Blue for bullish, orange for bearish (clear differentiation)
Signal Prioritization: Initial signals marked with letters, trends with colors
Multi-layer Validation: Three-tier confirmation system (EMA + Stochastic + MA filter)
Clean Visualization: Information-rich display without chart clutter
Important Disclaimers & Limitations
Realistic Expectations:
This indicator provides signals, not guarantees
All technical indicators have inherent lag
Market conditions change; no system works perfectly in all environments
Cryptocurrency markets exhibit high volatility and unpredictable behavior
Proper Usage:
Never rely solely on one indicator for trading decisions
Always use appropriate risk management and position sizing
Consider fundamental factors and market context
Test thoroughly on historical data before live implementation
Adjust parameters to match specific cryptocurrency pairs and timeframes
Development Philosophy
This indicator was developed with these principles:
Evidence-Based: Components based on widely researched technical concepts
Practical Focus: Designed for actual trading use, not theoretical perfection
User-Centric: Customizable to individual preferences and trading styles
Transparent: Clear logic without "black box" calculations
Final Recommendations
For optimal results:
Start with default parameters on major cryptocurrency pairs (BTC, ETH)
Adjust Stochastic RSI sensitivity for altcoins with different volatility profiles
Use higher timeframes (4H, Daily) for primary trend analysis
Combine with volume analysis and market structure for confirmation
Regularly review and adjust settings as market conditions evolve
The Crypto Dual MA Signal Edition provides a comprehensive toolkit for cryptocurrency analysis, but successful trading requires disciplined execution, continuous learning, and integrated risk management strategies.
External Market Structure from BBCits a external market structure from bbc for highs and lows for trend analysis
Multi ATR Volatility Bands CockpitMulti ATR Volatility Bands Cockpit
Multi ATR Volatility Bands Cockpit is a read-only volatility context indicator designed to describe how volatile the market is and where price currently sits within that volatility, using an EMA anchor and multiple ATR-based envelopes.
This tool does not generate trade signals or place orders. It is intended to support situational awareness and contextual analysis across symbols and timeframes.
What this indicator shows
Volatility Regime
Classifies current volatility using ATR as a percentage of price (e.g., Quiet, Normal, Volatile, Extreme).
Envelope Structure
Uses multiple ATR envelopes around an EMA to visualize typical, elevated, and extreme volatility ranges.
Price Location
Describes where price is relative to the envelopes (inside, outside, or beyond typical ranges).
Plain-Language Context
A concise, non-actionable explanation of the current volatility environment.
What makes this indicator unique
Unlike traditional band indicators that require interpretation from the chart alone, this script includes a Volatility “Cockpit” panel that summarizes volatility conditions in a clear, structured, and descriptive format.
The cockpit:
Translates raw volatility metrics into labeled regimes
Separates context from decision-making
Is designed to reduce interpretation ambiguity rather than generate signals
This makes the indicator suitable as a context layer alongside other analysis tools, rather than a standalone decision engine.
Display modes
Cockpit (Minimal)
Clean overlay with the EMA, outer envelope, and informational panel.
Bands (Detail)
Full ATR band stack with optional fills for deeper inspection of volatility structure.
Important notes
Indicator only — no trade execution, no buy/sell signals, no alerts
All calculations are based on confirmed historical bar data
No lookahead logic is used
Results vary by symbol, timeframe, and parameter selection
Intended use
This indicator is designed for traders and analysts who want to understand volatility conditions before making decisions elsewhere, not for generating entries or exits on its own.
BB Squeeze + Volume Confirm (Boxed Zones, Rewired)What This Indicator Does (End-to-End, No Ambiguity)
This indicator identifies when volatility is compressed, when it releases, and whether that release is real. It is not predictive. It is regime-based.
⸻
1. It Detects a True Volatility Squeeze
The indicator measures Bollinger Band width and compares it to its own recent history. When band width falls into the lowest percentile of the lookback window, volatility is objectively compressed.
When that condition is met, the indicator draws a yellow box around price. That box persists as long as compression continues.
Yellow box equals stored energy.
⸻
2. It Visually Separates “Do Nothing” From “Act”
While price remains inside a yellow box, the market is coiled. The indicator explicitly tells you not to trade.
No direction is implied.
No bias is assumed.
No signal is generated.
This prevents overtrading during chop.
⸻
3. It Confirms Breakouts With Participation
The indicator does not treat every band break as valid.
A breakout is only recognized if:
Price closes outside the Bollinger Band, and
Volume expands materially versus its recent average.
Only then does it print:
SQ↑ for upside resolution
SQ↓ for downside resolution
These are confirmed volatility releases, not guesses.
⸻
4. It Filters Noise With Optional ATR Gating
You can optionally require ATR (average true range) to also be suppressed during the squeeze. This filters out false “tight” periods that occur during chaotic tape.
When enabled, squeezes must be both structurally and behaviorally quiet.
⸻
5. It Defines Market Regimes
The indicator divides the chart into three regimes:
Yellow box present: compression, preparation only
Yellow box ends: transition
SQ↑ or SQ↓ prints: expansion, execution phase
This keeps strategy selection aligned with market conditions.
⸻
6. It Prevents the Most Common Trading Error
Most traders lose money by trading inside compression or fading confirmed expansion.
This indicator blocks both behaviors by design.
⸻
Bottom Line
This indicator answers one question only:
“Is volatility being stored, or has it been released with commitment?”
If volatility is being stored, you wait.
If it has been released with volume, you act.
That clarity is the entire point.
Crypto MMFCrypto MMF Indicator:
The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims.
Integration Rationale
Volume-Weighted Momentum Analysis
The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations.
The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise.
Multi-Timeframe Momentum Convergence
The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons.
This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences.
Component Synergy Mechanism
Core Calculation Components
Price-Volume Integration Engine
The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum.
Exponential Smoothing Application
Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure.
Normalization Process
The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds.
Multi-Timeframe Synchronization System
Hierarchical Timeframe Calculation
The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods.
Cross-Timeframe Data Retrieval
A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions.
Higher Timeframe Smoothing Layer
An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style.
Signal Generation Framework
Threshold-Based Zone Analysis
The indicator establishes three operational zones based on statistical observations of momentum extremes:
Neutral zone (25-75): Represents balanced market conditions
Lower extreme zone (0-25): Indicates potential oversold conditions
Upper extreme zone (75-100): Indicates potential overbought conditions
These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes.
Conditional Signal Categorization
The system monitors four distinct momentum conditions:
Initial extreme readings: Momentum enters extreme zones without confirmation
Confirmed extremes: Smoothed momentum follows into extreme zones
Multi-timeframe alignment: Current and higher timeframe momentum move in concert
Multi-timeframe divergence: Current and higher timeframe momentum diverge
Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge.
Practical Implementation Guidelines
Functional Applications
Trend Confirmation Protocol
When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement.
Divergence Detection Methodology
Three divergence types merit monitoring:
Classic divergence: Price reaches new extremes while momentum fails to confirm
Hidden divergence: Price retraces within a trend while momentum suggests trend continuation
Timeframe divergence: Momentum moves opposite directions across timeframes
Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns.
Zone-Based Risk Assessment
The oscillator's bounded nature facilitates structured risk assessment:
Extreme zone entries: Higher potential reward but require confirmation
Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios
Zone transitions: Often precede accelerated price movements
Parameter Configuration Philosophy
Core Parameter Settings
The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments.
Multi-Timeframe Multiplier Selection
The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value.
Smoothing Parameter Considerations
Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation.
Interpretation Protocol
Step 1: Momentum Context Assessment
Begin analysis by determining the current momentum context:
Absolute level relative to threshold zones
Direction and velocity of recent momentum changes
Relationship to the midpoint (50) level
Step 2: Timeframe Alignment Evaluation
Compare current and higher timeframe momentum:
Confirm directional alignment for trend trading
Identify divergences for potential reversal scenarios
Assess convergence strength for position sizing decisions
Step 3: Volume Confirmation Analysis
Evaluate whether recent volume patterns support momentum readings:
Extreme momentum with declining volume: Caution warranted
Neutral momentum with increasing volume: Potential breakout precursor
Confirmed momentum with expanding volume: Higher conviction signal
Step 4: Market Context Integration
Correlate momentum readings with broader market context:
Correlated cryptocurrency movements
Overall market capitalization trends
Relevant news or fundamental developments
Originality and Differentiation
Innovative Design Elements
Volume-Integrated Momentum Calculation
Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur.
Dynamic Timeframe Adaptation
The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments.
Multi-Layer Confirmation Framework
The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions.
Theoretical Foundations
The indicator's design incorporates elements from multiple technical analysis disciplines:
Momentum analysis principles from oscillator theory
Volume-price relationships from market microstructure
Multi-timeframe analysis from hierarchical trend theory
Statistical normalization from quantitative analysis
This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena.
Risk Management Integration
Signal Quality Assessment
The indicator facilitates signal quality evaluation through multiple confirmation requirements:
Primary momentum extreme reading
Smoothed momentum confirmation
Higher timeframe alignment or constructive divergence
Supporting volume characteristics
Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation.
False Signal Mitigation
Several design elements reduce false signal susceptibility:
Volume-weighting filters low-conviction price movements
Exponential smoothing reduces noise-induced fluctuations
Multi-timeframe analysis filters counter-trend movements
Graduated confirmation requirements prevent premature action
These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely.
Implementation Considerations
Cryptocurrency Market Specificity
The indicator incorporates design elements particularly relevant to cryptocurrency markets:
24/7 market operation accommodation
High volatility regime compatibility
Volume data availability considerations
Cross-market correlation awareness
These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets.
Customization Guidelines
Users may adjust parameters based on:
Trading timeframe (scalping, day trading, swing trading)
Cryptocurrency pair characteristics (volatility, volume profile)
Risk tolerance and trading style
Market regime (trending, ranging, transitional)
Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance.
Conclusion
The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations.
The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Opening Range with Timezone & Points Opening range indicator on 1min , which can use for breakout strategy
WPNR + ATR Bands + MACDAS StrategyThis indicator is a hybrid approach that blends momentum, volatility, and trend following into one. It's designed to filter out market "noise" and capture high-probability turning points.
Components Used: Williams %R (WPNR): Captures moments when the price crosses above the oversold (below -80) region (Long) or below the overbought (above -20) region (Short).
ATR Bands: Measure price volatility. They prevent spurious breaks by ensuring signals only activate when the price is within a reasonable range (within the bands).
MACDAS: This is a MACD-based trend filter. It only allows trades to be opened in the direction of the main trend (Buy when above the MACD signal line, Sell when below).
How to Use? Buy (Long): W%R must cross above the 80 level, the price must hold above the lower ATR band, and MACD must be in the positive zone (bullish).
Sell (Short): W%R should cross below the 20 level, price should remain below the upper ATR band, and MACD should be in the negative (bearish) zone
Note: This strategy is optimized for 15-minute and 1-hour charts. Always remember to use a stop-loss order.
Gold Professional MacrosMacro Window Descriptions
London Opening Sweep (08:00 – 08:30 CET)
Purpose: The "Judas Swing" window. It captures the initial surge of European liquidity, often creating a false move to sweep Asian Session highs or lows before establishing the true London trend.
London LOD/HOD (09:30 – 10:00 CET)
Purpose: The "Maturity" window. This is where the morning trend often establishes its Low of Day (LOD) or High of Day (HOD) before entering a mid-day consolidation.
Pre-NY News Window (13:30 – 14:00 CET)
Purpose: The "High-Impact" window. Corresponds to 07:30–08:00 NY Time, aligning with major US economic data releases (CPI, Jobless Claims) that trigger immediate repricing in Gold.
NY Open Power Surge (15:15 – 15:45 CET)
Purpose: The "Volatility" window. Marks the official New York open. This is the prime time for ICT Silver Bullet setups as heavy institutional volume enters the market.
The Gold Fix Liquidation (16:00 – 16:30 CET)
Purpose: The Master Macro. This is the London Gold Fix. It is the most critical period for Gold, often resulting in massive reversals or final daily expansions as central banks and bullion dealers settle prices globally.
PM Reversal (19:30 – 20:00 CET)
Purpose: The "Correction" window. Often sees Gold retracing to fill Fair Value Gaps (FVG) or imbalances created during the violent NY morning session.
Key Features of the Script
Visual Time-Boxing: Color-coded background zones for instant recognition.
Automated Labeling: Clearly identifies each macro at the moment of inception.
Multi-Timeframe Compatible: Optimized for M1, M5, and M15 execution charts.
Timezone Synchronized: Hard-coded to Europe/Paris (CET) to align perfectly with European and US market overlaps.
Initial Balance Ultimate High/LowThis indicator plots the definitive session high and low established during the initial balance formation within the first hour following the New York Stock Exchange open, as well as the 25%, 50%, and 75% retracement levels of the total initial balance range
Trader HQ - Multi Time Frame EMA🔷 Indicator Title
MTF 200 EMA Pro — Triple Timeframe Trend Filter
🔷 Short Description (Tagline)
A professional multi-timeframe 200 EMA framework that overlays up to three higher and lower timeframe trend filters on a single chart for superior market alignment and trade confirmation.
🔷 Full Description (Paste This in TradingView)
📈 MTF 200 EMA Pro — Triple Timeframe Trend Filter
MTF 200 EMA Pro is a professional-grade multi-timeframe trend analysis tool designed to help traders identify high-probability directional bias across multiple timeframes.
This indicator allows you to overlay up to three independent 200-period Exponential Moving Averages from different timeframes onto one chart, providing instant insight into higher, medium, and lower timeframe trend alignment.
By stacking multiple 200 EMAs, traders can eliminate low-quality setups, avoid countertrend trades, and operate in harmony with dominant market structure.
🔧 Key Features
✅ Up to 3 independent 200 EMAs
✅ Individual timeframe selection per EMA
✅ Clean overlay on any chart
✅ Adjustable display per line
✅ Real-time multi-timeframe calculations
✅ Works on all markets and sessions
🎯 How to Use
This indicator is designed as a primary trend filter.
Example configuration:
• EMA 1 → Lower timeframe (Execution)
• EMA 2 → Medium timeframe (Momentum)
• EMA 3 → Higher timeframe (Structure)
Bullish Bias Example
Price above all 200 EMAs
Lower EMA above higher EMA
Pullbacks hold above structure
Bearish Bias Example
Price below all 200 EMAs
Lower EMA below higher EMA
Rejections at structure
When EMAs are aligned, trend probability increases.
📊 Best Use Cases
✔ Futures Trading
✔ Options & Equity Trading
✔ Forex & Crypto
✔ Prop Firm Evaluations
✔ Trend-Following Systems
✔ Momentum Strategies
⚠️ Risk Disclaimer
This indicator is a trend visualization and filtering tool only. It does not provide financial advice. Always apply proper risk management and confirm signals with your own strategy.






















