ChillLax Distance From Moving Average// show the % distance from the moving average, in colorful histogram
// you can choose :
// : the moving average of the close, default to 200 ma
// : sma or ema, default to sma
// : choose calculation from open or high or low or close (to the ma), default is close
// : threshold % above/below ma, default is 70%. when the stock is above/below
// this threshold, histogram is red (default)
// : otherwise, histogram is blue (default)
// Why this? In William O'neil's book, How to make money in stock, 4th edition, page 264,
// in Climax Top:
// 200-day moving average line. Some stocks may be sold when they are
// 70% to 100% or more above their 200-day moving average price line
Hareketli Ortalamalar
Fractal Market Geometry [JOAT]
Fractal Market Geometry
Overview
Fractal Market Geometry is an open-source overlay indicator that combines fractal analysis with harmonic pattern detection, Fibonacci retracements and extensions, Elliott Wave concepts, and Wyckoff phase identification. It provides traders with a geometric framework for understanding market structure and identifying potential reversal patterns with multi-factor signal confirmation.
What This Indicator Does
The indicator calculates and displays:
Fractal Detection - Identifies fractal highs and lows using Williams-style pivot analysis with configurable period
Fractal Dimension - Calculates market complexity using range-based dimension estimation
Harmonic Patterns - Detects Gartley, Butterfly, Bat, Crab, Shark, Cypher, and ABCD patterns using Fibonacci ratios
Fibonacci Retracements - Key levels at 38.2%, 50%, and 61.8%
Fibonacci Extensions - Projection level at 161.8%
Elliott Wave Count - Simplified wave counting based on pivot detection (1-5)
Wyckoff Phase - Volume-based phase identification (Accumulation, Markup, Distribution, Neutral)
Golden Spiral Levels - ATR-based support and resistance levels using phi (1.618) ratio
Trend Detection - EMA crossover trend identification (20/50 EMA)
How It Works
Fractal detection uses a configurable period to identify swing points:
detectFractalHigh(simple int period) =>
bool result = true
float centerVal = high
for i = 0 to period - 1
if high >= centerVal or high >= centerVal
result := false
break
Harmonic pattern detection uses Fibonacci ratio analysis between swing points. Each pattern has specific ratio requirements:
Gartley: AB 0.382-0.618, BC 0.382-0.886, CD 1.27-1.618
Butterfly: AB 0.382-0.5, BC 0.382-0.886, CD 1.618-2.24
Bat: AB 0.5-0.618, BC 1.13-1.618, CD 1.618-2.24
Crab: AB 0.382-0.618, BC 0.382-0.886, CD 2.24-3.618
Shark: AB 0.382-0.618, BC 1.13-1.618, CD 1.618-2.24
Cypher: AB 0.382-0.618, BC 1.13-1.414, CD 0.786-0.886
Wyckoff phase detection analyzes volume relative to price movement:
wyckoffPhase(simple int period) =>
float avgVol = ta.sma(volume, period)
float priceChg = ta.change(close, period)
string phase = "NEUTRAL"
if volume > avgVol * 1.5 and math.abs(priceChg) < close * 0.02
phase := "ACCUMULATION"
else if volume > avgVol * 1.5 and math.abs(priceChg) > close * 0.05
phase := "MARKUP"
else if volume < avgVol * 0.7
phase := "DISTRIBUTION"
phase
Signal Generation
Signals use multi-factor confirmation for accuracy:
BUY Signal: Fractal low + Uptrend (EMA20 > EMA50) + RSI 30-55 + Bullish candle + Volume confirmation
SELL Signal: Fractal high + Downtrend (EMA20 < EMA50) + RSI 45-70 + Bearish candle + Volume confirmation
Pattern Detection: Label appears when harmonic pattern completes at current bar
Dashboard Panel (Top-Right)
Dimension - Fractal dimension value (market complexity measure)
Last High - Most recent fractal high price
Last Low - Most recent fractal low price
Pattern - Current harmonic pattern name or NONE
Elliott Wave - Current wave count (Wave 1-5) or OFF
Wyckoff - Current market phase or OFF
Trend - BULLISH, BEARISH, or NEUTRAL based on EMA crossover
Signal - BUY, SELL, or WAIT status
Visual Elements
Fractal Markers - Small triangles at fractal highs (down arrow) and lows (up arrow)
Geometry Lines - Dashed lines connecting the most recent fractal high and low
Fibonacci Levels - Clean horizontal lines at 38.2%, 50%, and 61.8% retracement levels
Fibonacci Extension - Horizontal line at 161.8% extension level
Golden Spiral Levels - Support and resistance lines based on ATR x 1.618
3D Fractal Field - Optional depth layers around swing levels (OFF by default)
Harmonic Pattern Markers - Small diamond shapes when Crab, Shark, or Cypher patterns detected
Pattern Labels - Text label showing pattern name when detected
Signal Labels - BUY/SELL labels on confirmed multi-factor signals
Input Parameters
Fractal Period (default: 5) - Bars on each side for fractal detection
Geometry Depth (default: 3) - Complexity of geometric calculations
Pattern Sensitivity (default: 0.8) - Tolerance for pattern ratio matching
Show Fibonacci Levels (default: true) - Display retracement levels
Show Fibonacci Extensions (default: true) - Display extension level
Elliott Wave Detection (default: true) - Enable wave counting
Wyckoff Analysis (default: true) - Enable phase detection
Golden Spiral Levels (default: true) - Display spiral support/resistance
Show Fractal Points (default: true) - Display fractal markers
Show Geometry Lines (default: true) - Display connecting lines
Show Pattern Labels (default: true) - Display pattern name labels
Show 3D Fractal Field (default: false) - Display depth layers
Show Harmonic Patterns (default: true) - Display pattern markers
Show Buy/Sell Signals (default: true) - Display signal labels
Suggested Use Cases
Identify potential reversal zones using harmonic pattern completion
Use Fibonacci levels for entry, stop-loss, and target planning
Monitor Wyckoff phases for accumulation/distribution awareness
Track Elliott Wave counts for trend structure analysis
Use fractal dimension to gauge market complexity
Wait for multi-factor signal confirmation before entering trades
Timeframe Recommendations
Best on 1H to Daily charts. Lower timeframes produce more fractals but with less significance. Higher timeframes provide stronger levels and more reliable signals.
Limitations
Harmonic pattern detection uses simplified ratio ranges and may not match all textbook definitions
Elliott Wave counting is basic and does not include all wave rules
Wyckoff phase detection is volume-based approximation
Fractal dimension calculation is simplified
Signals require fractal confirmation which has inherent lag equal to the fractal period
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Options Liquidity Meter (OLM)❓ The question behind this indicator
When trading options, it is common to experience situations where price moves in the expected direction, yet the option contract does not increase in value as anticipated.
This typically happens when one or more of the following conditions is missing:
Insufficient liquidity participation
Lack of volatility expansion
Weak or passive order flow
Options Liquidity Meter (OLM) was created to address this specific question:
“If price moves from here, are there conditions for option premiums to actually expand?”
🎯 What this indicator does
Options Liquidity Meter is a context tool, not a trading system.
It evaluates whether the current market environment is favorable for option premium expansion , based on three core engines:
Liquidity (Relative Volume)
Measures whether price movement is supported by meaningful participation.
Volatility State
Identifies compression, release, and expansion phases, where options tend to respond differently.
Order Flow Activity (OBV-based)
Acts as a proxy for active vs. passive participation, helping filter hollow moves.
These components are combined into a single, easy-to-read options context.
🟢🟡🔴 Options Context Output
The indicator displays one consolidated state:
RED — NO EXPANSION
Price may move, but option premiums often do not respond.
YELLOW — BUILDING
Liquidity or volatility is developing. Conditions are improving but not fully aligned.
GREEN — EXPANSION LIKELY
Liquidity, volatility expansion, and active flow are aligned.
This is a favorable environment for option premium expansion.
The same logic is reflected visually through the background color and summarized in the dashboard.
📊 How to read the dashboard
The dashboard shows:
Liquidity: LOW / OK / HIGH
Volatility: COMPRESSED / RELEASED / EXPANDING
Order Flow: FLAT / ACTIVE
Options Context: NO EXPANSION / BUILDING / EXPANSION LIKELY
Below, a Background Color Meaning section explains what each color represents, making the indicator intuitive and educational.
📍 Where to apply this indicator
Options Liquidity Meter must be applied to the underlying asset chart, such as:
Indices (SPY, SPX, QQQ, etc.)
Stocks
Futures
ETFs
It is not designed to be applied to option contracts themselves.
The indicator evaluates the market conditions of the underlying, which are the drivers that influence option premium behavior.
Contract selection (strike, delta, gamma, expiration) remains the trader’s responsibility.
🧠 How to use it
Use your own methodology to define:
Direction
Structure
Entries and exits
Use Options Liquidity Meter to evaluate:
Whether the current environment supports option premium expansion
If the context is RED, be cautious — price may move without rewarding options.
If the context is GREEN, the environment is statistically more favorable for options responsiveness.
🔗 Complementary tools
Options Liquidity Meter is designed to complement, not replace, other tools.
It works well alongside:
Opening Path Selector (EMA200 Context Tool)
For deciding which asset offers the cleanest directional context.
Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key Levels
For in-chart structure, bias, and reference levels.
Each tool addresses a different stage of the decision process and can be used independently.
⚠️ Important notes
This indicator provides context only
It does not generate trading signals
No indicator guarantees results
Use at your own risk.
MTF EMA50/200 // ADX (Auto TF Pairing) with SL/TP // v6Strategy overview (EMA50/EMA200 + ADX, multi-timeframe):
This system trades only in the direction of the higher-timeframe trend and uses the current chart timeframe for precise entries.
Trend filter (Higher TF):
Bull trend: EMA50 > EMA200 and ADX ≥ threshold → only LONGs allowed
Bear trend: EMA50 < EMA200 and ADX ≥ threshold → only SHORTs allowed
If ADX is below the “no-trend” threshold, the market is considered choppy and trades are avoided.
Entry (Lower TF / chart TF):
Enter only when the chart timeframe confirms momentum in the HTF direction using one of:
Touch: price pulls back to EMA50 and closes back on the trend side
Rejection: stricter “touch + reject” near EMA50
Cross: close crosses EMA50 in the trend direction
Stop Loss (structure + volatility):
LONG: below the safer of last swing low or EMA50, minus an ATR buffer
SHORT: above the safer of last swing high or EMA50, plus an ATR buffer
Take Profit (risk-based):
Targets are set as multiples of risk (R) from entry:
TP1 = 2R (default)
TP2 = 3R (optional)
The indicator plots only the latest trade’s Entry (black line), Stop (red dashed), and TP (green dashed), and it auto-pairs the chart timeframe with a “next level up” higher timeframe for the trend filter.
Opening Path Selector (EMA200 Context Tool)📝 Description
Opening Path Selector is a context-based indicator designed to help traders quickly identify which asset may offer the cleanest directional path at the market open.
This tool does not generate entry or exit signals.
Its purpose is to reduce decision fatigue during the first minutes of the session by ranking a small set of high-liquidity assets based on higher-timeframe EMA200 structure.
🔍 What this indicator evaluates
The dashboard compares a predefined group of major symbols and ranks them according to:
• Proximity to the nearest EMA200
• Relative position versus higher-timeframe EMA200 levels
• Directional context inferred from EMA structure
The result is a priority-based list that highlights which asset may present:
• Less immediate EMA resistance
• Clearer directional context
• Lower probability of early-session chop
📊 How to read the dashboard
• Priority – Ranking based on opening context
• Symbol – Evaluated instrument
• Nearest EMA200 – Distance and side relative to price
• Possible Path – Direction with less immediate EMA resistance
• Bias – Strength of the higher-timeframe context
Colored markers are used to provide fast visual identification of the highest-priority assets.
⚠️ Important notes
• This is a context and selection tool, NOT a trading system
• No buy/sell signals, alerts, TP, or SL logic are included
• Designed to be used alongside your own execution methodology
🔧 Compatibility
Due to Pine Script multi-symbol and multi-timeframe constraints, this public version is intentionally limited to a small set of symbols.
TradingView Pro / Premium or higher is recommended for consistent performance.
🔗 Complementary tools
This indicator can be complemented with Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key Levels , which provides detailed visibility of multiple EMA levels, VWAP structure, and higher-timeframe reference zones directly on the chart.
While Opening Path Selector helps decide which asset to focus on at the open, the complementary tool can assist with in-chart context and confirmation once an asset has been selected.
Both tools are designed to serve different stages of the decision process and can be used independently.
IPO MA Start DetectorWhat is this tool?
This indicator is designed specifically for Fresh IPOs and recently listed stocks. Standard indicators like the 50-day or 200-day Moving Averages do not appear on a chart until the stock has traded for enough days. This tool solves that problem by telling you exactly when these key levels will appear.
It visualizes the "birth" of a Moving Average, both in the past and in the future.
Key Features:
Future Forecasting: Projects vertical lines into the future to show exactly when a specific MA (e.g., 50 DMA) will start calculating.
Countdown Timer: Displays a countdown (e.g., "Starts in 12 days") so you don't have to count candles manually.
Historical Start Points: Marks the exact candle where an MA (like the 10 or 20 EMA) first appeared historically.
Clean & Subtle: Uses floating text without heavy background boxes to keep your chart clutter-free.
Dark Mode Optimized: Uses bright, neon colors (Lime, Cyan, Orange) that pop against dark backgrounds.
How it works:
The script calculates the age of the stock (bar count).
If the stock is younger than the required MA length (e.g., only 30 days old), it projects a dashed line to the 50th day.
It anchors a label to that future date, showing you the countdown.
Settings:
Toggle MAs: Turn on/off 10 EMA, 20 EMA, 50 SMA, 100 SMA, or 200 SMA individually.
Label Location: Customize where the future labels appear (Above Price, Below Price, or At Price) to avoid overlapping with candles.
Use Case: Perfect for traders tracking new listings who are waiting for the "20 EMA pullback" or "50 DMA anchor" strategies to become valid.
Multi-Indicator DashboardMulti-timeframe trading dashboard overlay on your chart. Analyzes Trend, Momentum, Swing, Strength, Direction, Volatility, and delivers a final VIEW (Bullish/Bearish/Flat) across 5 key timeframes. Perfect for quick multi-TF alignment checks! W → D → 2H → 1H → 15M
Features
Color-Coded Cells: Green (Bullish), Red (Bearish), Gray (Neutral).
Historical Mode: Toggle "Enable Historical View" → Slider picks N bars back (chart TF-aware: e.g., 10 bars = 2.5H on 15M).
Yellow vertical line + date label marks the exact bar
Quick Setup
Add to chart → Customize inputs.
Historical: Enable + slide "Bars Back" for past data snapshots.
Views Update Live: Real-time on current/historical bars.
RRR EMA Ignition BUY & SELL (Sideways-Proof)🔹 Description
RRR EMA Ignition Buy & Sell is a trend-following, non-repainting indicator designed to capture high-probability trend ignition points while filtering out sideways market noise.
Unlike basic EMA crossover systems that generate frequent false signals, this indicator uses a state-based trend engine, volatility filters, and trend strength confirmation to ensure signals appear only when a real directional move is underway.
It is optimized for swing trading and positional trading on stocks and indices.
🔹 Core Logic
🔼 BUY Signal (Bullish Ignition)
A BUY signal is generated only when all of the following conditions are met:
EMA 21 confirms bullish regime above EMA 55
EMA 9 shows momentum above EMA 21
Price is trading above EMA 55
Candle closes bullish (confirmation)
Trend strength is validated using ADX
EMA 55 is sloping upward
Price is sufficiently far from EMA 55 (ATR-based distance filter)
Only one BUY per bullish trend leg (no repeated signals)
🔽 SELL Signal (Bearish Ignition)
A SELL signal is the exact reverse of the BUY logic:
EMA 21 confirms bearish regime below EMA 55
EMA 9 shows bearish momentum below EMA 21
Price is trading below EMA 55
Candle closes bearish
ADX confirms trend strength
EMA 55 is sloping downward
ATR distance filter blocks sideways chop
Only one SELL per bearish trend leg
🔹 Key Features
✅ Non-repainting (signals appear only after candle close)
✅ Sideways-market protection using ATR + ADX
✅ State-based logic (prevents repeated BUY/SELL spam)
✅ Handles strong V-reversals using trend re-arm logic
✅ Clean signals suitable for alerts and automation
✅ Works across stocks, indices, and ETFs
🔹 Best Use Cases
📈 Swing trading on Daily / 4H charts
📊 Large-cap stocks and indices (Nifty, Bank Nifty, SPX, NASDAQ)
🚫 Not intended for low-timeframe scalping
🎯 Designed for trend capture, not range trading
🔹 Recommended Settings
Indian Stocks
ADX Minimum: 18
ATR Multiplier: 0.6 – 0.8
US Indices
ADX Minimum: 22
ATR Multiplier: 0.5
(Default settings work well for most instruments.)
🔹 How to Trade (Simple Guide)
Use BUY signals to enter or add to long positions
Use SELL signals to enter short positions or exit longs
Combine with:
Support/resistance
Higher-timeframe bias
Position sizing & risk management
🔹 Disclaimer
This indicator is a decision-support tool, not financial advice.
Always apply proper risk management and confirm signals with your own analysis.
Weekly Debit Spread VWAP + Prior Day + Dual ConfirmOpen Debit Spreads using previous day and current vwap
Yivgeny Decision ScoreYivgeny Decision Score is a technical indicator that provides two objective scores (0–10) to support trading decisions:
ENTRY Score – evaluates the quality of a potential entry
HOLD Score – evaluates whether to hold or exit an existing position
The score is based on trend direction (SMA150), EMA20 behavior, volume confirmation, MACD momentum, breakout or bounce signals, and price action structure.
Designed for discretionary traders who want a clear, rule-based decision aid without automatic buy/sell signals.
Stack Detector Stack Detector, which is showing how the ma moves as a chart goes by.
It help you the power of the waves
HMA Fibo Trend RibbonHMA Fibo Trend Ribbon - Fibonacci Trend Indicator
📊 Indicator Description
This is a trend indicator based on the harmony of Fibonacci numbers. The indicator uses seven Hull Moving Averages with periods corresponding to the Fibonacci sequence: 8, 13, 21, 34, 55, 89, 144. This mathematical harmony allows the indicator to perfectly align with natural market cycles and wave structures.
🎯 Fibonacci Philosophy in Market Analysis
The Fibonacci sequence is not just a set of numbers, but a fundamental pattern found in nature, art, and financial markets. Using these periods provides:
Natural alignment with market cycles
Multifractal analysis (covering different wave levels)
Harmonious interaction between timeframes
Universal application across all timeframes
🔧 Indicator Settings
Visual Settings:
Show Main Line - Show main line (HMA 144 - golden ratio)
Show Ribbon Lines - Show the remaining 6 Fibonacci lines
Show Trend Change Labels - Show trend change labels
Show Info (Trend %) - Show info label with trend percentage
Ribbon Opacity - Ribbon transparency (0-100%)
🎨 Visualization of Fibonacci Structure
Color Harmony:
Each HMA line corresponds to a specific Fibonacci level
Collective movement creates the "Fibonacci Ribbon"
Color differentiation based on direction
Info Label:
Displays consensus of 7 Fibonacci levels
Percentage ratio of bullish/bearish lines
Color coding of the trend
📊 Interpretation of Fibonacci Signals
Consistency Levels:
7/7 lines in one direction - Perfect Fibonacci harmony
5-6/7 lines - Strong trend
3-4/7 lines - Consolidation/transition phase
0-2/7 lines - Opposite trend
🚀 Advantages of Fibonacci Approach
Natural harmony with market cycles
Universal - works on any asset and timeframe
Predictive power - anticipates reversal zones
Period synergy - signal amplification when aligned
Minimal lag - HMA responds better than regular MAs
⚡ Implementation Features
Technical Details:
Algorithm: Hull Moving Average (optimized for speed)
Periods: Pure Fibonacci sequence
Calculation: Consensus of 7 harmonic levels
Visualization: Intuitive color scheme
Performance:
Optimized for TradingView
Minimal system load
Support for all chart types
⚠️ Usage Recommendations
Combine with other Fibonacci tools
Verify signals on different timeframes
Use for trade entry filtering
Test on historical data before live trading
✍️ Author: A-Swift
📅 Version: 1.0 Fibonacci
🔗 Code: Open Source (MPL 2.0)
🧮 Basis: Fibonacci Sequence (8, 13, 21, 34, 55, 89, 144)
Fibonacci Fact:
The number 144 in the Fibonacci sequence is the square of its ordinal number (12²) and represents perfect harmony in market cycles. This makes the HMA with period 144 particularly significant for determining the main trend.
Korocham MA & SwingSMA 3Lines , Swing High Low
An indicator that displays 3 SMA lines and Swing Highs/Lows with 5 bars to the left and right.
0DTE Credit-Spread Morning FilterUPDATE: NATIVE ALERTS ADDED!
You asked, we delivered. You no longer need to sit and stare at the dashboard waiting for a green signal.
1. New "Trade Entry Signal" Alert:
I have added a custom alert condition to the code. This triggers the exact moment the dashboard flips from "NO TRADE" to "GREEN" (Strategy Found).
2. How to set it:
Simply click the "Create Alert" button (clock icon) in TradingView, select this indicator, and choose "Trade Entry Signal" from the list.
Now you can get notified on your phone or desktop instantly when the market conditions align for a 0DTE play.
Happy Trading!
VWAP roller autoBrief Description
VWAP Roller Auto is a TradingView Pine Script indicator that combines a rolling (resetting) Volume Weighted Average Price (VWAP) with dozens of dynamic support/resistance levels derived from Gann's Square of 9 principles. The VWAP resets periodically (automatically or manually) starting from a user-defined session open time, and the Gann levels "roll" with it, creating an adaptive grid of potential price reaction zones. It's designed for intraday trading and overlays directly on the price chart.
Key Features
Rolling VWAP with Custom Session Start
VWAP calculation restarts at configurable session open (default 8:30 CST, using proper Chicago timezone handling).
Auto-Adaptive Period Selection
Automatically chooses the VWAP reset period (from 2 min up to 48 hours) based on current volatility (ATR + realized range). Targets a user-defined spacing (~0.08% by default) between consecutive VWAPs to keep the grid relevant to market conditions. Falls back to manual period if disabled.
Gann Square of 9 Levels
Generates ~8 pairs of resistance (R) and support (S) levels above/below the current rolling VWAP using octave-based increments.
Two increment modes:
Points mode — fixed point steps that double octavely (e.g., 0.305, 0.610, 1.22, 2.44, etc.).
Percent mode — percentage steps scaled so the middle octave aligns near 0.025% for finer resolution on lower-priced assets.
Visual Enhancements
Colored fills between key level groups (e.g., inner ±0.25 octave in blue, ±1–2 octave zones in gray, higher extremes in yellow/red).
Labels on the right side marking important zones ("low", "normal", "high", "3/4 - ps1", "extreme - ps2").
Central VWAP line (customizable color and offset).
Table showing current period length and whether auto mode is active.
Non-Timeframe Friendly
Works on range bars, Renko, etc., using fallback settings when timeframe is non-standard.
Use Cases
Intraday Support/Resistance Trading
Treat the rolling VWAP as fair value and use the Gann-derived levels as dynamic zones for potential reversals, breakouts, or mean reversion.
Scalping and Day Trading
Auto-period ensures the grid spacing matches current volatility — tighter levels in quiet markets, wider in volatile ones — ideal for futures (ES, NQ), crypto, or forex.
Zone-Based Entries/Exits Buy near labeled support zones (e.g., "low" or "normal" volatility bottoms) when price trades below VWAP.
Sell/short near resistance zones in overbought conditions.
Watch for hits of "extreme" zones (±8 octave) as potential strong reversal signals.
Confluence Tool
Combine with order flow, volume profile, or other indicators; the colored fills highlight "value areas" similar to market profile concepts but anchored to a rolling VWAP.
In short, VWAP Roller Auto provides a sophisticated, self-adjusting Gann-inspired grid that moves with the market's fair value, helping traders identify high-probability reaction zones throughout the trading session.
SCOTTGO - MOMO RVOL Trend Painter V2 (Elite Pro)SCOTTGO - MOMO RVOL Trend Painter V2 (Elite Pro)
This professional-grade trend-following indicator identifies high-probability "Elite" entry points by combining Relative Volume (RVOL) with strict trend alignment and momentum filters. It is designed to filter out market noise and highlight only the most significant institutional moves.
Core Features
Elite Signal Logic: Triggers only when high RVOL (default >2.0x) aligns with a confirmed trend (Price vs. VWAP & 9EMA) and positive momentum (RSI & MACD).
Dynamic Bar Coloring: Instantly paints bars Green (Bullish) or Red (Bearish) when all "Elite" criteria are met.
Smart Labeling: Labels are corner-anchored to the left of the signal bar. This prevents visual clutter and ensures labels never obstruct new price action.
Detailed Tooltips: Hover over any "Elite" flag to see a comprehensive breakdown of the specific metrics (RVOL value, Trend status, RSI, and MACD) that triggered the signal.
Key Components
RVOL Threshold: Adjustable sensitivity to volume spikes.
Trend Filter: Optional requirement for price to stay above/below VWAP and the 9EMA.
Momentum Filters: Integrated RSI and MACD confirmation to avoid "exhaustion" trades.
Visual Customization: Full control over label spacing, colors, and opacity.
How to use: Look for the ⭐ ELITE flags as confirmation for trend continuation or high-volume breakouts. Use the triangles for precise candle entry points.
Disclaimer: Technical analysis tools are for informational purposes only. Trading involves significant financial risk.
Debye-Einstein Trend Oscillator [Dual Mode] | IkkeOmarDebye-Einstein Trend Oscillator
Indicator Settings Guide
Visual Settings View Mode: Switches the chart display. Select "Standard Flow" to see the raw physics energy bars and crossover lines. Select "Trend Diff (MACD)" to see the histogram that highlights momentum shifts and chaos spikes.
Physics Engine Trend Lookback: Defines the "Mass" of the trend. This sets the long-term baseline (default 1500 bars). Higher values filter out noise and focus only on macro-cycles; lower values make the system faster but noisier. Chaos Threshold (%): Controls the trigger for the Einstein (Chaos) state. Set to 95, only the top 5% of highest-energy volume events will trigger the vertical white spikes. Lowering this value makes the system more sensitive to volatility.
Flow Moving Averages MA Type: Choose between SMA (Simple) or EMA (Exponential) for the smoothing calculation. Fast / Slow Length: These settings determine the sensitivity of the momentum logic. The difference between these two lengths creates the histogram in "Trend Diff" mode.
1. Concept & Theoretical Basis
This script applies principles from Solid State Physics—specifically the Debye and Einstein models of specific heat capacity—to financial market trend analysis.
The core hypothesis is that market trends behave like physical lattices:
Low Energy State (Debye Model): The market moves in a coordinated, wave-like manner (phonons). Trends are sustainable and correlated.
High Energy State (Einstein Model): The market becomes chaotic. Individual participants (atoms) vibrate independently and violently. This represents capitulation or euphoria.
We model "Price" as the position of particles and "Volume × Range" as the thermal energy (Temperature) entering the system.
2. Implementation Models
We constructed the oscillator using three primary physical components:
A. The Trend Vector (Mass)
We assume the "Mass" of the market is its inertia relative to a long-term baseline.
Model: Distance from a 1500-period SMA, normalized by ATR.
Assumption: Price deviation from a deep baseline indicates the magnitude of the trend "force."
B. Thermodynamics (Temperature)
We define "Work" as Volume * True Range.
Temperature (T): The Percentile Rank of this Work over the lookback period (1500 bars).
Assumption: High volume combined with high range equals high thermal energy.
C. The Dual Regimes (Amplifiers)
This is the engine of the script. We apply a scalar multiplier to the Trend Vector based on the current Temperature (T).
Debye Regime (Sustainable): When T is below the critical threshold (95%), we use a polynomial function (T^2). This mimics the Debye T^3 law where energy scales smoothly.
Effect: Smoothly amplifies standard trends.
Einstein Regime (Chaos): When T breaches the critical threshold (95%), we switch to an exponential function derived from the Einstein Solid model.
Effect: Creates massive vertical spikes during trend exhaustions or breakouts.
3. Code Explanation
The Physics Scalars
debye_amp(t) => 1.0 + (math.pow(t, 2) * 5.0)
Defines the sustainable state multiplier. Squaring the temperature t creates a non-linear but smooth response curve that gradually increases with volatility.
einstein_amp(t) => 1.0 + ((1.0 / (math.exp(1.0 / t_safe) - 1.0)) * 15.0)
Deep Dive: This function applies the Bose-Einstein distribution formula (1 / (e^(1/T) - 1)).
The Physics: In quantum mechanics, this formula calculates the occupancy of energy states. At low temperatures, the value is effectively zero (the "frozen" state).
The Function: As our market "Temperature" (T) rises, the denominator shrinks, causing the output to grow exponentially.
The Result: This mathematically forces the system to ignore low-volatility noise but react explosively once the "Boiling Point" is reached, creating the vertical spikes seen on the chart.
is_einstein = (T * 100) >= thresh_einstein
A boolean check that determines if the current market energy (Temperature) has exceeded the user-defined chaos threshold (default 95%).
physics_scalar = is_einstein ? einstein_amp(T) : debye_amp(T)
The regime switch. If the threshold is breached, the system applies the exponential Einstein scalar; otherwise, it applies the polynomial Debye scalar.
Trend Differentiation Logic
final_flow = trend_vector * physics_scalar
Calculates the primary oscillator value by multiplying the directional Trend Vector (Mass) by the active Physics Scalar (Energy).
diff_val = ma_fast - ma_slow
Calculates the momentum of the flow itself by subtracting the Slow Moving Average from the Fast Moving Average. This creates the MACD-style histogram.
4. Visual Reporting & Chart Analysis
Referring to the generated charts (Trend Diff Mode):
The Histogram: Represents the diff_val (Fast MA - Slow MA).
Cyan/Pink: Standard trend momentum (Debye mode).
White Spikes: These represent the Einstein Threshold (Chaos). These spikes generally appear at local bottoms or explosive breakout points, confirming that "Temperature" has exceeded the 95th percentile.
Zero Line: Crossing the zero line implies the trend momentum has shifted (Fast MA crossed Slow MA).
5. Assumptions & Limitations
A. The "Always in Trend" Bias
The "Trend Diff" mode calculates the delta between two moving averages of the flow.
Risk: MAs are laggy by definition. By using a 200/500 MA combo on the oscillator, we are smoothing the data significantly.
Consequence: In a ranging market, the MAs will converge near zero. However, if a sudden burst of Volume enters (Temperature rises) without price moving much, the Einstein scalar will trigger. This may amplify a small move into a large signal, implying a trend where there is only volatility.
B. Lag
The lookback period is 1500 bars. This is a "Macro" trend system. It will not react quickly to short-term reversals unless the Volume/Range shock is massive enough to trigger the Einstein scalar immediately.
Example "physics values"
In the Standard Flow view, the vertical columns represent the raw energy of the trend—Teal and Red bars indicate normal, sustainable market movement (Debye state), while bright Lime and Fuchsia bars signal chaotic, high-volatility events (Einstein state). The height of these bars shows the combined strength of price direction and volume. Overlaying these columns are two moving averages, a fast Blue line and a slow Red line, which smooth out this data to show the underlying momentum. When the Blue line crosses the Red line, it signals a shift in the trend's direction, while the color of the bars warns you if that move is stable or nearing exhaustion.
MA Alignment DetectorMA Alignment Detector : If it is bullish MA alignment, the color becomes red, if it is bearlish MA alignment, the color become green.
Mag 7 EMA Trend MonitorDashboard Layout:
1. Symbol Column: The Mag 7 tickers.
2. Trend Column: Visual Bull/Bear status.
3. Strength Column: Percentage distance from the mean (EMA 21).
4. Aggregate Row: Summary of market breadth and average sector pull/push.
How to Interpret the Trend Strength:
• Positive %: The stock is trading above its 21 EMA. A very high number (e.g., $+15\%$) might suggest the stock is "overbought" or overextended.
• Negative %: The stock is trading below its 21 EMA. A very low number (e.g., $-10\%$) might suggest it is "oversold."
• Avg Strength: This gives you a bird's-eye view of the sector. If the aggregate is "5 Up / 2 Down" but the Avg Strength is only $+0.5\%$, the trend is weak and might be exhausting.
"Pro-tips" for tool:
• Multi-Timeframe Correlation: Try setting the Dashboard Timeframe to "D" (Daily) while trading on a "5m" or "15m" chart. This allows you to see if your intraday trade is aligned with the "Big Money" trend of the week.
• The 4/7 Rule: Watch for that Aggregate row to hit 4 out of 7. In the Mag 7, since these stocks carry so much weight in the SPY and QQQ, a shift to a majority (4+) often precedes a move in the overall market indices.
KAMA Oscillator | IkkeOmarThis script transforms the Kaufman Adaptive Moving Average (KAMA) into an oscillator format, designed to visualize trend direction with reduced noise sensitivity. It operates in two modes: a Raw mode that tracks price levels directly, and a Normalized mode that bounds the oscillator between -1 and +1 for easier comparison across assets.
The calculations are the same as for the Normalized KAMA Oscillator, but I added a few features that users of the old version wouldn't necessarily want.
How it works
Efficiency Ratio (ER): The script calculates the "efficiency" of price movement by comparing the net direction of price to the total volatility over a set period.
Adaptive Smoothing:
When volatility is high but direction is unclear (choppy), the KAMA slows down to filter noise.
When price trends clearly, the KAMA speeds up to track the move.
Normalization (Optional): If enabled, the script takes the raw KAMA value and scales it relative to its highest and lowest points over the Normalization lookback period. The result oscillates between -1 (extreme low) and +1 (extreme high).
The SMA Signal Logic
The script allows you to overlay an SMA (Simple Moving Average) on the oscillator. This serves as a dynamic baseline for the oscillator's momentum.
Signal Generation: A signal is generated when the KAMA Oscillator crosses its SMA.
Bullish: Oscillator crosses above the SMA.
Bearish: Oscillator crosses below the SMA.
Lag vs. Noise Trade-off:
Advantage (Reduced Lag): Crossing the SMA often triggers a signal earlier than waiting for the oscillator to change color (slope change) or cross the zero line. It identifies when immediate momentum is outperforming the recent average.
Risk (Increased Noise): During consolidation, the oscillator will hover close to the SMA line. This increases the probability of "whipsaws" (false signals) where the line crosses back and forth rapidly without a sustained trend. This signal is aggressive and should be used with trend filters.
5x Multi-Timeframe Moving AveragesSince I use EMA lines a lot and I typically want them based on one timeframe - say: D1 - while looking into higher or lower timeframes, I made this simple indicator:
- Up to 5 moving averages (SMA, EMA, ...)
- on chart timeframe or any defined timeframe (W, D, H4, H1, 30min, ...)
- each with user defined length / number of periods of calculation
- each in user defined line style, width and color.
Straight forward but very handy. Enjoy.
Juergen
MA Distance MonitorMA Distance Monitor - Custom
Overview
The MA Distance Monitor is a professional-grade dashboard designed for traders who need to track the relationship between price and multiple Moving Averages simultaneously.
Unlike standard indicators that simply plot lines, this tool quantifies exactly how far the price is from your key levels (in Percentage or Price terms). This is crucial for identifying Mean Reversion opportunities (when price is overextended) and confirming Trend Strength.
Key Features
1. 5 Fully Configurable Moving Averages
Monitor 5 distinct MAs at once.
Default Setup: 5, 10, 20, 50, and 200 SMA (Simple Moving Average) — widely used institutional levels.
Customization: Switch any individual MA between SMA and EMA (Exponential Moving Average) and change lengths to fit your strategy.
2. Smart Dashboard (Clean Mode by Default)
The on-screen table gives you real-time data without cluttering your chart.
Clean Mode: By default, it shows only the Distance %, giving you a minimalist view of market extension.
Expandable: In the settings, you can enable additional columns to see the MA Name, MA Price, and Warning Thresholds.
Borders: Toggle table grid lines on or off for a seamless look.
3. "Overextended" Warning System
Set a specific "Warn %" threshold for each MA (e.g., 5%).
If the price deviates beyond this threshold, the indicator highlights the data in Orange (or your custom color).
Use Case: This helps identify when price has moved too far, too fast, signaling a potential pullback or reversal.
4. Chart Scale Labels
Floating labels appear on the right-side price scale, marking the exact price level of your MAs.
These labels dynamically show the current distance %, keeping your eyes on the price action.
5. Advanced Theming
Dark Mode: High-contrast colors optimized for dark charts.
Light Mode: Optimized for bright backgrounds.
Custom: Fully control every color (Bullish, Bearish, Warning, Text, Headers, Borders) to match your chart aesthetic perfectly.
How to Use
Interpreting the Data
Green: Price is Above the Moving Average (Bullish Trend).
Red: Price is Below the Moving Average (Bearish Trend).
Orange (Warning): Price is Overextended (Distance > Threshold). Watch for mean reversion.
Settings Guide
MA Configuration: Set your Lengths and Types (SMA/EMA).
Display & Styling: * Toggle Show Dashboard Table to hide/view the table.
Toggle Show Table Header or Show Table Borders for layout preference.
Enable Show MA Name or Show MA Price for more detailed data.
Colors: Select "Custom" in the Theme dropdown to apply your own color palette.
Alerts
This script includes built-in alertcondition events for automation:
Crossover: Triggered when Price crosses OVER a specific MA.
Crossunder: Triggered when Price crosses UNDER a specific MA.
To set an alert:
Click the "Alert" button in TradingView.
Select "MA Dist Custom" as the condition.
Choose the specific crossing event (e.g., "Cross Over MA 5").
Created by Psycholfye
