Bitcoin Logarithmic Fractal Growth Model By ARUDDThis model, which I'm calling the Logarithmic Fractal Growth Mode (L.F.G) , uses Bitcoin's mathematical monetary policy to evaluate the future possible price valuation.
It takes into account fractal (and logarithmic) growth as well as how those who hold bitcoins might react to certain events such as changes in supply and demand. It also shows that it is mathematically logical that someday it must become stable.
The information gained from knowing this helps people make more informed decisions when buying bitcoin and thinking of its future possibilities.
The model can serve as some type of general guideline for determining how much bitcoins should be worth in the future if it follows a certain path from its current price.
Modeling Bitcoin's money supply mathematically, and knowing that there is a finite number of them, makes this whole process much more rational than just thinking about the possibilities in pure subjective terms.
Before going any further I want to say that no one can know with absolute certainty what will happen to bitcoins price in the future, but using mathematics gives us an idea of where things are headed.
The results presented here are based on very reasonable assumptions for how bitcoin might continue to grow (and then level out) once there are over 21 million bitcoins in existence.
The model shows that bitcoin's price can never go down to zero (thus creating the "death spiral" phenomenon), and as such, bitcoin has an extremely high probability of becoming stable as it approaches infinity.
Conversely, this model also shows that at some point there is a high probability that bitcoin will not continue to grow exponentially forever.
Credit goes to Quantadelic for the awesome original script.
ARUDD
In den Scripts nach "Fractal" suchen
Combo Strategy 123 Reversal & Fractal Chaos OscillatorThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The value of Fractal Chaos Oscillator is calculated as the difference between
the most subtle movements of the market. In general, its value moves between
-1.000 and 1.000. The higher the value of the Fractal Chaos Oscillator, the
more one can say that it follows a certain trend – an increase in prices trend,
or a decrease in prices trend.
Being an indicator expressed in a numeric value, traders say that this is an
indicator that puts a value on the trendiness of the markets. When the FCO reaches
a high value, they initiate the “buy” operation, contrarily when the FCO reaches a
low value, they signal the “sell” action. This is an excellent indicator to use in
intra-day trading.
WARNING:
- For purpose educate only
- This script to change bars colors.
(FRAMA) Fractal Adaptive Moving AverageThis script plots UP TO 4 FRAMAs (Fractal Adaptive Moving Average), a particularly useful adaptive MA which uses fractal price theory to "adapt" itself, or better, to auto-adjust its parameters. It's quite reactive, but its major strength resides in its ability to filter the noise during lateral price movements, avoiding some false signal provided by more common moving averages.
By default, the script plots the basic FRAMA version, the one firstly developed by John Ehlers, but also provides the possibility to play with the parameters, to obtain a modified FRAMA.
Unfortunately I'm not able to provide web sources about FRAMA here, due to Tradingview policies. So search online if you need more details about FRAMAs.
Please show me your support if you like my scripts. Hope you enjoy them.
Ehlers Fractal Adaptive Moving Average with Bands [Bitcoinduke]FRAMA – What is it?
Fractal Adaptive Moving Average Technical Indicator ( FRAMA ) was developed by John Ehlers, code was implemented by TradingView user Shizaru. I've updated it to Pine Script 4 and added Bands Extension.
This indicator is constructed based on the algorithm of the Exponential Moving Average , in which the smoothing factor is calculated based on the current fractal dimension of the price series.
Advantages:
possibility to follow strong trend movements
determine moments of price consolidation ( FRAMA sufficiently slow down at these moments)
FRAMA + Bands
The FRAMA serves as a base for the Upper and Lower Bands which are used as a way to measure volatility by observing the relationship between the Bands and price. Typically the Upper and Lower Bands are set to two standard deviations away from the FRAMA ; however it should be adjusted depending on the task.
Power Fractal DC ProjectionProjection Support for 4 Power Fractal DC (Donchian Channels) Bands, based on the golden proportion (Phi, 1.618).
Gives a perspective on future price trend and structure.
Structure can be changed by price movement and passing of time. In fact, both interact with each other. Projected future line crosses, and positive / negative orientations (eg. small 1 above or bellow small 2) provide relevant insights.
Important 1: given technical limitations beyond current viability, it is necessary to add a separate instance of the indicator for each intended fractal (8 if all).
Important 2: no explicit buy or sell signals are intended by the use of this reading. It is still necessary to consider other aspects, including risk managament, before entering or exiting a trade. Still, the reading facilitates picking a side with better odds of success.
Important 3: This version is intended for testing and feedback from within coder's network of contacts.
If you are interested in learning more about the theories behind this indicator, please DM .
SPY FRACTAL S-R LEVELS (FIXED ANN MACD)
This is a fractal version of my deep learning script for SPY
In addition, buy and sell conditions may appear in bar colors in green and red.
You can choose from the menu if you wish.
Fractal codes do not belong to me.
So I didn't put any license.
You can use it as you want, you can change and modify.
Regards.Noldo
PpSignal Composite Fractal Behavior (CFB)CFB tells you how long the market has been in a quality trend. This value can be used to adjust the period length of other indicators, especially stochastic bands.In order to quantify the overall duration of a market's trend, we replaced classical cycle analysis methods (FFT, MEM, MESA) with a form of analysis that works even when no cycles exist. We accomplished this by examining a time series for specific fractal patterns of any size. We then gather all the patterns found and combine them into one overall index, CFB (Composite Fractal Behavior) Index.For good reason, CFB does not analyze time series data for dominant cycles. Classical cycle analysis examines data points (e.g. prices) and estimates the average presence of a cycle in the window. Now suppose a cycle with a period length of 9 days was strong for 50 days and then disappeared for the next 21 days
CryptoVN - Price Action Bard and Fractal*Mod version from "CM_Price-Action-Bars" by ChrisMoody and "Fractal Support Resistance (Fixed Volume) 2" by synapticEx
(*)Price Action Bars:
- Yellow = Inside Bar – Breakout Patterns
- Orange = Outside Bar – Breakout Patterns
- Green/Red = Pin Bars
- Aqua/Fuchsia = Shaved Bars
(*) Fractal Support/Resistance on current chart.
(*)My Advice to You:
- The Trend Is Your Friend. TRADE WHAT YOU SEE, NOT WHAT YOU THINK.
Good luck. ^^!
MC Fractal Studies 3D ChartMCFractal Studies - 3D Chart © is one of the many MCFractal Studies ©
MCFractal Studies (c) disassemble the market data in an objective way and organize charts information in order to identify all the various Waves on all the various fractal scales, that make up the typical market charts, and show them to the eyes of investors in an inclusive but detailed way.
The ability to view and examine the multi-scale fractal market structure of a chart can immensely help an investor, giving him an edge that can be used to increase trading performance.
MCFractal Studies 3D Chart show the various supports and resistances on the chart, using different colours to differentiate them.
The lighter the colour, the smaller the wave.
The resulting effect is a nice coloured chart that gives a 3D (three dimensional) feeling.
They work on every timeframe, every market.
When the price is trending up, you will observe green colors below price.
As long as price stay above the green (supports), that particular wave-trend is UP.
When the price is trending down, you will observe red colors above price.
As long as price stay below the red (resistances), that particular wave-trend is DOWN.
The best way to use this indicator is in conjunction with one of the other MCFractal Studies ©.
PFE (Polarized Fractal Efficiency) Strategy The Polarized Fractal Efficiency (PFE) indicator measures the efficiency
of price movements by drawing on concepts from fractal geometry and chaos
theory. The more linear and efficient the price movement, the shorter the
distance the prices must travel between two points and thus the more efficient
the price movement.
WARNING:
- This script to change bars colors.
PFE (Polarized Fractal Efficiency) The Polarized Fractal Efficiency (PFE) indicator measures the efficiency
of price movements by drawing on concepts from fractal geometry and chaos
theory. The more linear and efficient the price movement, the shorter the
distance the prices must travel between two points and thus the more efficient
the price movement.
CISD & Projections BossThis is a CISD (Change in State of Delivery) indicator with Fibonacci-style projections. Here's what it does:
Core Functionality
1. Pivot Detection
Uses Williams Fractal logic to identify swing highs and lows based on your specified pivot strength
Can use either candle bodies or wicks for calculations
2. CISD Detection
The indicator identifies "Change in State of Delivery" moments - institutional trading concept where:
For bullish CISD (CISD+): Finds a swing low, then looks backward to identify the preceding series of bearish candles. When price breaks above this bearish series, it marks a CISD+ (change from bearish to bullish delivery)
For bearish CISD (CISD-): Finds a swing high, then looks backward to identify the preceding series of bullish candles. When price breaks below this bullish series, it marks a CISD- (change from bullish to bearish delivery)
The CISD line is drawn from the start of the series to the breakout point at the series extreme (high for bullish, low for bearish).
3. Range Projections
Once a CISD is confirmed, the indicator:
Calculates the range of the broken series (high - low)
Projects multiples of that range as potential targets
Default levels are 1x, 1.5x, 2x, 2.5x, 3x, and 4x the series range
Bullish projections extend upward from the CISD+ line
Bearish projections extend downward from the CISD- line
Visual Elements
CISD lines (thick lines in blue for bullish, red for bearish)
Projection levels (thinner horizontal lines extending from the breakout point)
Labels showing the multiplier for each projection level
Optional pivot shapes to mark swing points
This is essentially tracking institutional "order flow changes" and projecting measured moves based on the size of the broken delivery pattern - very much in line with ICT (Inner Circle Trader) concepts.
Aggressive VS Passive Orders Depletion @MaxMaserati 3.0Aggressive VS Passive Orders Depletion Indicator
Overview
This institutional-grade order flow analysis tool identifies and tracks limit order accumulation zones where significant buy and sell orders are placed in the market. It combines Highest Volume Candle Profile analysis with Market Structure detection to reveal where institutional traders have positioned their orders, and monitors in real-time whether these orders are being absorbed (depleted) or defended.
Core Concept: Order Block Detection & Depletion
This tool tracks the actual limit orders at key price levels and shows you:
Where institutional orders are placed (Buy Order Blocks vs Sell Order Blocks)
How strong these order zones are (original volume strength as %)
Real-time order flow activity (aggressive buyers vs aggressive sellers)
Depletion status (are the orders being consumed or defended?)
How It Works: Dual-Engine System
Engine 1: Volume Profile Analysis - Point of Control (POC) Detection
Divides price range into 25 horizontal levels (configurable)
Analyzes the last 120 bars (configurable lookback)
Distributes volume across price levels based on where each bar traded
Identifies the Point of Control (POC) - the price level with highest traded volume
Determines market bias: Bullish if price above POC, Bearish if below
Purpose: Shows where the majority of volume has been traded, indicating institutional accumulation zones and fair value areas.
Engine 2: Market Structure Analysis (PHL - Pivot High/Low)
Uses fractal pivot detection (configurable strength)
Identifies swing highs and lows that create market structure
Tracks Break of Structure (BOS) - price breaks recent swing in trend direction
Tracks Market Structure Shift (MSS) - price breaks swing points against trend
Maintains a trailing price at the most recent significant swing point
Purpose: Identifies where smart money is likely defending key structural levels with limit orders.
Key Innovation #1: Dynamic Confluence Zone Detection
When the Volume Profile POC and Market Structure trail price align within a configurable sensitivity threshold (default 1.0%), the indicator creates an Order Block Zone.
The Algorithm:
Monitors both engines continuously
Creates zones ONLY when POC is within X% of the structural swing point
Both engines must agree on the significance of the price level
Optional volume confirmation filter
This dual-confirmation approach filters out weak levels and highlights only the highest-probability zones where institutional orders are likely clustered.
Zone Types:
🟢 Buy Order Blocks (Support) - Created when confluence occurs with price above the zone. Represents accumulated buy limit orders waiting to support price.
🔴 Sell Order Blocks (Resistance) - Created when confluence occurs with price below the zone. Represents accumulated sell limit orders waiting to resist price.
Key Innovation #2: Real-Time Aggressive VS Passive Order Flow Analysis
The indicator performs sophisticated order flow decomposition on each candle that interacts with a zone, separating market activity into distinct categories:
Order Flow Categories:
1. Aggressive Orders - Market orders that consume liquidity
Aggressive Buy Volume: Market buys hitting sell limits (taking offers)
Aggressive Sell Volume: Market sells hitting buy limits (hitting bids)
Marked with (AGG) label when detected
Indicates urgent traders willing to pay the spread
2. Passive Orders - Limit orders adding liquidity
Passive Buy Volume: New buy limits being placed (making bids)
Passive Sell Volume: New sell limits being placed (making offers)
Shows patient traders providing liquidity
3. New Order Flow - Fresh buying/selling pressure
New Buyers: Total new buying activity (aggressive + passive)
New Sellers: Total new selling activity (aggressive + passive)
Net pressure indicator for zone health
Key Innovation #3: Advanced Order Flow Decomposition Algorithm
The indicator uses a proprietary candle analysis formula to separate aggressive from passive orders based on two key metrics:
Key Metrics:
Body Strength = |Close - Open| / (High - Low)
Close Position = (Close - Low) / (High - Low)
Bullish Candle Analysis:
Strong Aggressive Buying (Close Position ≥ 0.8 AND Body Strength ≥ 0.7):
90% aggressive buying, 10% passive selling, 90% new buyers
Moderate Aggressive Buying (Close Position ≥ 0.6 AND Body Strength ≥ 0.5):
70% aggressive buying, 20% passive selling, 80% new buyers, 20% new sellers
Weak Bullish (Close Position ≥ 0.5):
0-30% aggressive buying, 20-30% passive selling, 60% new buyers, 40% new sellers
Very Weak Bullish (Close Position < 0.5):
0% aggressive buying, 40% passive selling, 40% new buyers, 60% new sellers
Bearish Candle Analysis:
Strong Aggressive Selling (Close Position ≤ 0.2 AND Body Strength ≥ 0.7):
90% aggressive selling, 10% passive buying, 90% new sellers
Moderate Aggressive Selling (Close Position ≤ 0.4 AND Body Strength ≥ 0.5):
70% aggressive selling, 20% passive buying, 80% new sellers, 20% new buyers
Weak Bearish (Close Position ≤ 0.5):
0-30% aggressive selling, 20-30% passive buying, 60% new sellers, 40% new buyers
Very Weak Bearish (Close Position > 0.5):
0% aggressive selling, 40% passive buying, 40% new sellers, 60% new buyers
What This Reveals:
High close position + strong body = Aggressive buying overwhelming sellers
Low close position + strong body = Aggressive selling overwhelming buyers
Mid-range close = Battle between buyers and sellers
Small body = Passive orders dominating (limit orders being placed, not filled)
Key Innovation #4: Dynamic Depletion System with Intelligent Thresholds
The indicator adapts depletion thresholds based on zone strength:
High Liquidity Zones (>300% volume strength):
Depletion at 40% consumption - Massive clusters considered broken early because partial depletion indicates institutional withdrawal
Medium Liquidity Zones (150-300% volume strength):
Depletion at 60% consumption - Standard institutional behavior, majority must be consumed
Normal Liquidity Zones (75-150% volume strength):
Depletion at 80% consumption - Retail and smaller institutional zones need near-complete absorption
Low Liquidity Zones (<75% volume strength):
Depletion at 100% consumption - Weak zones must be fully absorbed before marked depleted
Why This Matters:
Strong zones failing early = powerful reversal signal (institutions gave up)
Weak zones holding = hidden strength (more orders being added)
Adaptive logic prevents false signals from fixed thresholds
Depletion Formula:
For Buy Order Zones:
Zone Liquidity % = (Original Buy Volume / Average Volume) × 100
Consumed % = (Sell Volume Absorbed / Average Volume) × 100
If Consumed Volume > Dynamic Threshold → Zone DEPLETED
For Sell Order Zones:
Zone Liquidity % = (Original Sell Volume / Average Volume) × 100
Consumed % = (Buy Volume Absorbed / Average Volume) × 100
If Consumed Volume > Dynamic Threshold → Zone DEPLETED
Key Innovation #5: Absorption Detection & Battle Analysis
The indicator identifies when one side is overwhelming the other using a configurable Absorption Threshold (default 1.5x = 50% more volume).
Battle States for Buy Order Blocks:
New Buyers Dominating (New Buyers > New Sellers × 1.5):
Label: ↑ New Buyers: +X% - Buy orders successfully defended
Sellers Attacking (New Sellers > New Buyers × 1.5):
Label: ↓ Sellers Attack: +X% (AGG) - Sell orders overwhelming the zone
Active Battle (Both active, <1.5x ratio):
Label: Battle: B+X% vs S+Y% - Active two-way order flow
Quiet Zone (Minimal activity):
Label: ↔ Quiet: X% - Zone untested or ignored
Battle States for Sell Order Blocks:
New Sellers Dominating (New Sellers > New Buyers × 1.5):
Label: ↓ New Sellers: +X% - Sell orders successfully defended
Buyers Absorbing (New Buyers > New Sellers × 1.5):
Label: ↑ Buyers Absorb: +X% (AGG) - Buy orders overwhelming the zone
Active Battle (Both active, <1.5x ratio):
Label: Battle: S+X% vs B+Y% - Active two-way order flow
Quiet Zone (Minimal activity):
Label: ↔ Quiet: X% - Zone untested or ignored
The (AGG) Marker:
Appears when aggressive market orders are detected (high body strength + extreme close position). Indicates institutional-sized urgency—someone is willing to pay market price NOW. Often precedes breakouts or strong continuations.
Label System Explained
No Label = Untested Zone
When a zone is first created, you see ONLY the colored box with NO label. This means:
Price has NOT yet reached this order block
The limit orders are still pending/resting
The zone is a future area of interest
Labels only appear after first price contact
Label Format (After First Touch):
Line 1: ● XX% Order Type
Line 2: Flow Analysis
Example Labels:
Buy Order Blocks:
● 150% Buy Orders + ↑ New Buyers: +85%
● 150% Buy Orders + ↑ New Buyers: +120% (AGG)
● 150% Buy Orders + Battle: B+45% vs S+38%
● 150% Buy Orders + ↓ Sellers Attack: +95% (AGG)
● 150% Buy Orders + ↓ Sellers Attack: +95% (AGG)
● 150% Buy Orders
Sell Order Blocks:
● 200% Sell Orders + ↓ New Sellers: +110%
● 200% Sell Orders + ↓ New Sellers: +140% (AGG)
● 200% Sell Orders + Battle: S+62% vs B+41%
● 200% Sell Orders + ↑ Buyers Absorb: +88% (AGG)
● 200% Sell Orders + ↑ Buyers Absorb: +88% (AGG)
● 200% Sell Orders
Status Indicators:
- Price penetrated through the zone
- Orders fully consumed, zone exhausted
Gray color - Zone no longer active
Directional Arrows:
↑ - Upward pressure (buyers stronger)
↓ - Downward pressure (sellers stronger)
↔ - Balanced/quiet (low activity)
↗ / ↘ - Mixed battle with bias
Point of Control (POC) Sub-Level Analysis
Each order block contains advanced volume distribution tracking:
Multi-Level Analysis (default 5 levels): Zones subdivided into horizontal price levels
Volume Distribution: Every candle's volume distributed across sub-levels based on price overlap
Buy/Sell Separation: Each level tracks buy vs sell volume independently
Dynamic POC Line: Marks the price level with highest traded volume within the zone
Real-Time Updates: POC adjusts as new volume enters, showing where "fairest price" is migrating
Style Options: Solid, Dashed, or Dotted lines (configurable width 1-5)
POC Trading Significance:
Represents the most accepted price within the order block
Often the best entry price for limit orders (highest liquidity)
POC migration shows whether zone is being "worked higher" or "worked lower"
Breaking through POC often signals zone failure
Key Settings
Volume Profile:
Lookback Period: 120 bars (historical period for POC)
Price Rows: 25 levels (granularity of volume distribution)
Volume Confirmation: Require structure breaks to align with volume bias
Market Structure:
Pivot Strength: 1 (swing detection sensitivity)
Show Trail: Optional trailing price visualization
Confluence Detection:
Sensitivity: 1.0% (distance threshold for POC/Structure alignment)
Lower = Stricter confluence, fewer zones
Higher = More zones detected
Order Flow Analysis:
Show Real-Time Order Flow: Live buyer/seller activity
Show Aggressive Markers: (AGG) labels for market orders
Show Directional Arrows: Price direction indicators (↑↓↔↗↘)
Absorption Threshold: 1.5x (when one side overwhelms the other)
1.5 = 50% more volume needed
2.0 = 100% more (stricter)
1.2 = 20% more (more sensitive)
Visual Options:
Hide Depleted Zones: Auto-remove exhausted blocks
Smart Bar Coloring: Color candles based on signal alignment
Zone Colors: Customize buy/sell colors
Label Text Size: Tiny, Small, Normal, Large
POC Settings:
Show POC Lines: Toggle Point of Control display
POC Analysis Levels: 3-10 levels
Line Width: 1-5 pixels
Line Style: Solid, Dashed, or Dotted
Trading Applications
1. Institutional Order Detection - Identify where large players positioned limit orders using Volume Profile POC + Market Structure confluence
2. Support/Resistance Validation - Dual confirmation filters weak levels, highlights high-probability reversal areas
3. Order Flow Imbalance Trading - Trade in direction of aggressive flow using (AGG) markers, fade zones showing absorption
4. Breakout/Breakdown Confirmation - and statuses validate moves through key levels
5. Liquidity Hunting - Track stop-loss clusters, anticipate stop runs based on depletion patterns
6. Entry Refinement - Use POC lines for precise limit placement at "fairest price" within zones
Combined Signal System
HVN Volume Profile × Market Structure Signals:
STRONG BUY: Both engines bullish + structure break up + volume confirmation
BUY: Bullish bias with partial confirmation
WEAK BUY: Early bullish signals
STRONG SELL: Both engines bearish + structure break down + volume confirmation
SELL: Bearish bias with partial confirmation
WEAK SELL: Early bearish signals
Alert Conditions:
Strong Buy/Sell signals (with volume confirmation)
Confluence zone activation (new order block created)
Order block depletion (zone exhausted)
What Makes This Indicator Unique
Industry-Standard Foundation:
Volume Profile POC detection + Market Structure analysis (swing pivots, BOS/MSS) + Point of Control tracking
Unique Innovations:
Dynamic Confluence Algorithm + Aggressive vs Passive Order Flow Decomposition + Adaptive Depletion Thresholds + Real-Time Absorption Detection + Battle Analysis with (AGG) markers + Complete Unified Methodology
Technical Excellence:
Resource-optimized (max 50 zones), comprehensive safety checks, multi-tier labeling, flexible customization
Best Practices
Wait for first touch - No label = untested zone
Watch (AGG) markers - Institutional urgency signal
Trust adaptive depletion - Strong zones failing early = major reversal
Use POC for entries - Best price within zone
Combine higher timeframes - Daily/4H zones strongest
Respect zones - Failed support becomes resistance
Follow battle labels - Contested areas show stop clusters
Adjust sensitivity - Tight ranges = lower %, trending = higher %
Performance Notes
Maximum Active Zones: 50 (automatic cleanup)
Maximum Lines: 400 (POC managed dynamically)
Lookback Cap: 1000 bars for optimization
Updates: All calculations on bar close for confirmed signals
SOLACEThis overlay combines a fast/slow EMA price-action system with rich context tools. Buy prints on the current bar when both EMAs (5 & 21) are below the OHLC average and the 21 EMA crosses below the 5 EMA; Sell prints when both EMAs are above the average and the 21 EMA crosses above the 5 EMA. It also plots MACD, VWAP, Bollinger Bands (20,2), SMA50/200, plus dynamic support/resistance lines from recent swing highs/lows (20/40/60 bars) for confluence. Labels fire same-bar for early entries, and alerts are included for both signals; fractal logic is prepared for future use.
Muzyorae - ICT Quarterly Theory (Intraday)ICT Quarterly Theory — Intraday
What it is
ICT’s Quarterly Theory models the intraday session as repeating cycles of four “quarters.” On NY time, a trading day is split into four macro quarters of 6 hours each:
Q1: 00:00–06:00 NY (Asia / pre-London)
Q2: 06:00–12:00 NY (London–NY overlap, AM session)
Q3: 12:00–18:00 NY (Midday / PM session)
Q4: 18:00–24:00 NY (Asia re-open / late session)
Each macro quarter can be further subdivided into micro quarters of 90 minutes (q1–q4). This fractal view helps traders frame accumulation → expansion → distribution → liquidation phases and align executions with time-of-day liquidity.
Why it matters
Orderflow, liquidity raids, and displacement are highly time-dependent. Marking the quarters makes it easier to:
Anticipate when the market is likely to deliver the day’s expansion (often Q2) versus retracement/distribution (often Q3) or late liquidity runs (often Q4).
Compare today’s behavior to prior days within the same quarter windows.
Anchor bias, entries, and risk management to session-specific highs/lows rather than arbitrary clock times.
What this indicator shows
Macro quarters (6h): Vertical lines and optional labels (Q1–Q4) on NY time.
Micro quarters (90m): Optional finer verticals inside each macro quarter (q1–q4) for precise timing.
True Open (Q2 AM): Optional line at the AM session’s true open (default 06:00 NY) to study premium/discount development from the intraday benchmark.
Futures Sunday handling: Optional treatment of Sunday 18:00 NY as Q4 (useful for FX/futures).
Label controls: Choose above/below placement, offset, size, and colors; micro labels can be toggled independently.
Performance-friendly: De-duplicated labels and a look-back “days to show” setting keep charts clean.
How to use
Timeframe: Works on intraday charts (1–60m). 5–15m is a common balance of signal vs. noise.
Bias framing:
Map Asia (Q1), AM expansion (Q2), midday distribution (Q3), late session runs (Q4).
Compare where the daily range forms versus the True Open to gauge premium/discount and likely continuations.
Execution: Look for standard ICT tools (liquidity sweeps, FVGs, displacement, PD arrays) inside the active quarter to avoid fighting time-of-day flow.
Review: Scroll back multiple days and evaluate where the day’s high/low typically forms relative to Q2–Q3; adapt expectations.
Settings (high level)
Show Macro Labels / Micro Lines / Micro Labels
Label position (above/below), X-shift, colors, sizes
Days to show, de-dup window (prevents label overlaps)
Q2 True Open toggle and extension (doesn't work)
Include Sunday as Q4 (18:00 NY)
Notes
Quarter boundaries are fixed to America/New York session logic to match ICT timing.
This is a context tool; it does not generate buy/sell signals. Combine with your existing execution model.
Past behavior does not guarantee future results. Use proper risk management.
Muzyorae - Quarterly CyclesQuarterly Theory — NY Session Macro Model
The Quarterly Theory is a time-based framework for analyzing intraday market behavior during the New York session. It divides the session into four sequential quarters (Q1–Q4), each reflecting institutional activity, liquidity accumulation, and directional bias.
Q1 – Accumulation (9:30–10:00 AM): Early positioning, initial liquidity sweeps, and potential early breakouts (AMDX - XAMD patterns).
Q2 – Manipulation/Expansion (10:00–11:30 AM): Main directional move with structure breaks, fair value gaps, and liquidity sweeps.
Q3 – Distribution/Retracement (11:30 AM–1:30 PM): Consolidation, profit-taking, and market chop.
Q4 – Final Expansion/Repricing (1:30–4:00 PM): Trend continuation, reversals, and session high/low formation.
Key Features:
Fractal-based cycles scalable across intraday or multi-day timeframes.
Supports AMDX (Accumulation → Manipulation → Distribution → Expansion) and XAMD reversal sequences.
Highlights early Q1 expansions, Q2 open reference, and critical liquidity zones.
Fully synchronized to NY time and compatible with ICT concepts (SMT, FVGs, OBs, BOS).
Professional visualization with optional labels and vertical markers.
Purpose:
Provides traders a systematic framework to align with institutional flow, anticipate liquidity accumulation, identify optimal entry/exit zones, and structure trades around high-probability intraday cycles.
TDT Candle CounterThis indicator allows you to count candles inside a custom date range and display labels directly on the chart.
It supports three different counting modes:
🔢 Modes
Every Candle → Marks every bar sequentially (1, 2, 3, 4, …).
Alternative Sequence → Marks bars that match the sequence 1, 5, 9, 17, 25, 37, ….
Special Sequence (default) → Marks bars that match the sequence 1, 3, 7, 13, 21, 31, ….
Each mode has its own color so you can quickly distinguish which cycle is active.
⚙️ Features
Custom start and end date for the counting period.
Option to highlight the active period with a background color.
Labels are positioned above or below candles depending on the initial direction.
Alerts when:
Counting starts
Counting ends
🎯 Use Cases
Visualize candle sequences for cycle analysis.
Track market structure with custom numerical references.
Combine with other tools to study periodic behavior.
Inspired by Time Dilation Theory (TDT)
This counting approach is inspired by the Time Dilation Theory (TDT) methodology created by ICT Morpheus. According to TDT, markets unfold in cycles of 1, 3, 7, 13, 21… etc., reflecting natural rhythms of expansion, contraction, and distortion—an idea grounded in fractal time behavior across multi-timeframe analysis
Incorporating TDT principles into this tool helps visualize and align potential turning points and momentum shifts across different timeframes.
TradeX Labs PriceActionTradeX Labs Price Action — Multi-Layered Market Structure & Liquidity Visualizer
This invite-only script is a unified price-action framework for traders who want a clear, multi-timeframe visual map of structure, liquidity events, and execution zones. It is not a simple combination of existing tools — all modules are custom-built in-house and designed to work from a shared data model, ensuring every feature interacts seamlessly with the others.
Purpose & Core Design
The script’s foundation is a fractal-based swing engine that detects high-quality structural pivots. These pivots form the anchor points for:
BOS (Break of Structure) and structural shift detection
Liquidity sweep identification for stop hunts and inducements
Session range mapping (e.g., Asian high/low)
Rule-based zone projection using displacement and retracement logic
Rather than plotting isolated indicators, every detection method feeds into a single structure model so that BOS, liquidity events, and zones are all derived from the same underlying market map.
Zone Generation & Entry Mapping
Zones are calculated from swing-to-swing displacement legs and projected using Fibonacci presets (50 %, 61.8 %, 78.6 %). Users can select:
Calculation method: Fibonacci, Point of Interest (POI), or both
Zone frequency: High (wider), Medium (balanced), or Low (deeper) retracement levels
Extension length: Forward projection in bars to match chart timeframe
This ensures zones are consistent, structurally relevant, and adaptable to different styles.
Inducement & Liquidity Filters
For refined context, setups can be filtered by inducement type:
Minor: Sweeps of current day/session highs or lows
Medium: Sweeps of previous day’s highs/lows
Major: Sweeps of weekly highs/lows
Filters may run independently or in combination, hiding zones that lack interaction with key liquidity levels.
QuickStrikes Session Filter
QuickStrikes is an optional filter that checks BOS and/or entry levels against the Asian session high/low:
V1 (BOS validation): BOS position relative to session range
V2 (Entry validation): Entry zone position relative to session range
V3 (Combined): Both BOS and entry must meet positional criteria
Multiple modes can be active simultaneously, and all selected conditions must pass for a setup to display.
Custom Visuals & Usability
Every plotted element — zones, BOS labels, inducement levels, arrows, risk/reward boxes — can be styled to match any chart theme. The optional visual panel provides an at-a-glance risk-to-reward display.
Disclaimer
This is an original, closed-source TradeX Labs tool built entirely from proprietary logic referencing known concepts (e.g., Fibonacci ratios, session ranges, swing detection) within a rule-based framework. It produces visual analysis only and does not predict price or guarantee results. Default settings are for illustration; traders should adjust to their instrument and timeframe.
The Visualized Trader (Fractal Timeframe)The **The Visualized Trader (Fractal Timeframe)** indicator for TradingView is a tool designed to help traders identify strong bullish or bearish trends by analyzing multiple technical indicators across two timeframes: the current chart timeframe and a user-selected higher timeframe. It visually displays trend alignment through arrows on the chart and a condition table in the top-right corner, making it easy to see when conditions align for potential trade opportunities.
### Key Features
1. **Multi-Indicator Analysis**: Combines five technical conditions to confirm trend direction:
- **Trend**: Based on the slope of the 50-period Simple Moving Average (SMA). Upward slope indicates bullish, downward indicates bearish.
- **Stochastic (Stoch)**: Uses Stochastic Oscillator (5, 3, 2) to measure momentum. Rising values suggest bullish momentum, falling values suggest bearish.
- **Momentum (Mom)**: Derived from the MACD fast line (5, 20, 30). Rising MACD line indicates bullish momentum, falling indicates bearish.
- **Dad**: Uses the MACD signal line. Rising signal line is bullish, falling is bearish.
- **Price Change (PC)**: Compares the current close to the previous close. Higher close is bullish, lower is bearish.
2. **Dual Timeframe Comparison**:
- Calculates the same five conditions on both the current timeframe and a user-selected higher timeframe (e.g., daily).
- Helps traders see if the trend on the higher timeframe aligns with the current chart, providing context for stronger trade decisions.
3. **Visual Signals**:
- **Arrows on Chart**:
- **Current Timeframe**: Blue upward arrows below bars for bullish alignment, red downward arrows above bars for bearish alignment.
- **Higher Timeframe**: Green upward triangles below bars for bullish alignment, orange downward triangles above bars for bearish alignment.
- Arrows appear only when all five conditions align (all bullish or all bearish), indicating strong trend potential.
4. **Condition Table**:
- Displays a table in the top-right corner with two rows:
- **Top Row**: Current timeframe conditions (Trend, Stoch, Mom, Dad, PC).
- **Bottom Row**: Higher timeframe conditions (labeled with "HTF").
- Each cell is color-coded: green for bullish, red for bearish.
- The table can be toggled on/off via input settings.
5. **User Input**:
- **Show Condition Boxes**: Toggle the table display (default: on).
- **Comparison Timeframe**: Choose the higher timeframe (e.g., "D" for daily, default setting).
### How It Works
- The indicator evaluates the five conditions on both timeframes.
- When all conditions are bullish (or bearish) on a given timeframe, it plots an arrow/triangle to signal a strong trend.
- The condition table provides a quick visual summary, allowing traders to compare the current and higher timeframe trends at a glance.
### Use Case
- **Purpose**: Helps traders confirm strong trend entries by ensuring multiple indicators align across two timeframes.
- **Example**: If you're trading on a 1-hour chart and see blue arrows with all green cells in the current timeframe row, plus green cells in the higher timeframe (e.g., daily) row, it suggests a strong bullish trend supported by both timeframes.
- **Benefit**: Reduces noise by focusing on aligned signals, helping traders avoid weak or conflicting setups.
### Settings
- Access the indicator settings in TradingView to:
- Enable/disable the condition table.
- Select a higher timeframe (e.g., 4H, D, W) for comparison.
### Notes
- Best used in trending markets; may produce fewer signals in choppy conditions.
- Combine with other analysis (e.g., support/resistance) for better decision-making.
- The higher timeframe signals (triangles) provide context, so prioritize trades where both timeframes align.
This indicator simplifies complex trend analysis into clear visual cues, making it ideal for traders seeking confirmation of strong momentum moves.
Auto Trendlines [AlgoXcalibur]Effortlessly visualize trendlines.
This algorithm does more than just draw lines connecting structural swing points — it reveals dynamic support & resistance breakouts with clarity and precision while significantly reducing your workload compared to the hassle of manually drawing trendlines.
🧠 Algorithm Logic
This advanced Auto Trendlines indicator delivers clear market structure through an intelligent multi-fractal design, revealing useful swing structures in real time. For those seeking maximum awareness, the optional Micro Trendlines (Dotted) constantly monitors even the most recent and minor structural shifts — keeping you fully in tune with evolving market dynamics. A Break Detection Engine constantly monitors each trendline and provides instant visual feedback when structural integrity is lost: broken lines turn gray, stop extending, and remain visible to enhance clarity and situational awareness. The algorithm is carefully refined to prevent chart distortion commonly caused by forcing entire trendline structures into view — preserving a natural and accurate charting experience. To further ensure optimal readability, an integrated Clutter Control mechanism limits the number of visible trendlines — focusing attention only on the most relevant structures.
⚙️ User-Selectable Features
• Micro Trendlines (Dotted): Ultra-responsive short-term trendlines that react to even the smallest structural shifts — ideal for staying ahead of early trend changes.
• Broken Trendline Declutter: Enable to display only the most recent broken trendlines to simplify chart visuals and maintain clarity, or disable to analyze previous price action.
💡 Modern Innovation
Auto Trendline indicators are often inaccurate, clumsy, and rely on slow methods that fail to adapt. AlgoXcalibur’s Auto Trendline indicator takes a modern, refined approach — combining smart pivot logic for both speed and stability, dynamic break detection with clear visual cues, and displaying only the most relevant trendlines while prioritizing accuracy, preventing distortion, and reducing clutter — automatically.
🔐 To get access or learn more, visit the Author’s Instructions section.
Nyx-AI Market Intelligence DashboardNyx AI Market Intelligence Dashboard is a non-signal-based environmental analysis tool that provides real-time insight into short-term market behavior. It is designed to help traders understand the quality of current price action, volume dynamics, volatility conditions, and structural behavior. It informs the trader whether the current market environment is supportive or hostile to trading and whether any active signal (from other tools) should be trusted, filtered, or avoided altogether.
Nyx is composed of seven intelligent modules. Each module operates independently but is visually unified through a floating dashboard panel on the chart. This panel renders live diagnostics every few bars, maintaining a low visual footprint without drawing overlays or modifying price.
Market Posture Engine
This module reads individual candlesticks using real-time candle anatomy to interpret directional bias and sentiment. It examines body-to-range ratio, wick imbalances, and compares them to prior bars. If the current candle is a large momentum body with minimal wick, it is interpreted as a directional thrust. If it is a small body with equal wicks, it is considered indecision. Engulfing patterns are used to detect potential liquidity tests. The system outputs a plain-text posture signal such as Building Bullish Intent, Bearish Momentum, Indecision Zone, Testing Liquidity (Up or Down), or Neutral.
Flow Reversal Engine
This module monitors short-term structural shifts and volume contraction to detect early signs of reversal or exhaustion. It looks for lower highs or higher lows paired with weakening volume and closing behavior that implies loss of momentum. It also monitors divergence between price and volume, as well as bar-to-bar momentum stalls (where highs and lows stop expanding). When these conditions are met, it outputs one of several states including Top Forming, Bottom Forming, Flow Divergence, Momentum Stall, or Neutral. This is useful for detecting inflection points before they manifest on trend indicators.
Fractal Context Engine
This engine compares the current bar’s range to its surrounding structural context. It uses a dynamic lookback length based on volatility. It determines whether the market is in expansion (strong directional trend), compression (shrinking range), or a transitional phase. A special case called Flip In Progress is triggered when the current high and low exceed the entire recent range, which often precedes sharp reversals or volatility expansion. The result is one of the following: Trend Expansion, Trend Breakdown, Sideways or Coil, Flip In Progress, or Expansion to Coil.
Candle Behavior Analyzer
This module analyzes the last five candles as a set to detect behavioral traits that a single candle may not reveal. It calculates average body and wick size, and counts how many recent candles show thrust (large body dominance), trap behavior (price returns inside wicks), or weakness (small bodies with high wick ratios). The module outputs one of the following behaviors: Aggressive Buying, Aggressive Selling, Trap Pattern, Trap During Coil, Low Participation, Low Energy, or Fakeout Candle. This helps the trader assess sentiment quality and the reliability of price movement.
Volatility Forecast and Compression Memory
This module predicts whether a breakout is likely based on recent compression behavior. It tracks how many of the last 10 bars had significantly reduced range compared to average. If a certain threshold is met without any recent large expansion bar, the system forecasts that a volatility expansion is likely in the near future. It also records how many bars ago the last high volatility impulse occurred and classifies whether current conditions are compressing. The outputs are Expansion Likely, Active Compression, and Last Burst memory, which provide breakout timing and energy insights.
Entry Filter
This module scores the current bar based on four adaptive criteria: body size relative to range, volume strength relative to average, current volatility versus historical volatility, and price position relative to a 20-period moving average. Each factor is scored as either 1 or 2. The total score is adjusted by a behavioral modifier that adds or subtracts a point if recent candles show aggression or trap behavior. Final scores range from 4 to 8 and are classified into Optimal, Mixed, or Avoid categories. This module is not a trade signal. It is a confluence filter that evaluates whether conditions are favorable for entry. It is particularly effective when layered with other indicators to improve precision.
Liquidity Intent Engine
This engine checks for price behavior around recent swing highs and lows. It uses adaptive pivots based on volatility to determine if price has swept above a recent high or below a recent low. This behavior is often associated with institutional liquidity hunts. If a sweep is detected and price has moved away from the sweep level, the engine infers directional intent and compares current distance to the high and low to determine which liquidity pool is more dominant. The output is Magnet Above, Magnet Below, or Conflict Zone. This is useful for anticipating directional bias driven by smart money activity.
Sticky Memory Tracking
To avoid flickering between states on low volatility or noisy price action, Nyx includes a sticky memory system. Each module’s output is preserved until a meaningful change is detected. For example, if Market Posture is Neutral and remains so for several bars, the previous non-neutral value is retained. This makes the dashboard more stable and easier to interpret without misleading noise.
Dashboard Rendering
All module outputs are displayed in a clean two-column panel anchored to any corner of the chart. Text values are color-coded, tooltips are added for context, and the data refreshes every few bars to maintain speed. The dashboard avoids clutter and blends seamlessly with other chart tools.
This tool is intended for informational and educational purposes only. It does not provide financial advice or trading signals. Nyx analyzes price, volume, structure, and volatility to offer context about the current market environment. It is not designed to predict future price movements or guarantee profitable outcomes. Traders should always use independent judgment and risk management. Past performance of any analysis logic does not guarantee future results.
4 Bar FractalThis indicator is a simple yet powerful tool that tracks potential trend reversals by checking whether the closing price of the last candle in a four-candle sequence finishes above or below the highs or lows of both the immediately preceding candle and the first candle in that sequence. If the closing price breaks above those prior highs, a green triangle appears above the chart to indicate bullish momentum; if it breaks below those lows, a red triangle appears below the chart to signal bearish momentum. Not only is it beneficial for scalping or other short-term trading, but it also works well for swing trades and longer-term trends, making it one of the most effective indicators for catching significant market shifts. However, to avoid false breakouts, it is advisable to confirm signals with volume or additional trend indicators and to maintain disciplined risk management.
Dynamic Signal EngineDynamic Signal Engine
The Dynamic Signal Engine is a powerful and versatile indicator, designed to help traders make informed decisions by combining trend analysis with key support and resistance levels. This tool is inspired by the Linear Regression Oscillator , which laid the foundation for this enhanced implementation. By building on the original concept, this script introduces additional features, customization, and integration with dynamic trading strategies to suit diverse trading styles.
Key Features
Inspiration and Foundation
This indicator draws inspiration from the Linear Regression Oscillator , leveraging its robust trend detection capabilities while adding custom enhancements for broader functionality and user adaptability.
Trading Style Customization
Adaptable for Scalping, Intraday, and Swing Trading with dynamic parameter adjustments for each style.
User-defined inputs for thresholds, lookback periods, and visualization options provide further control.
Enhanced Linear Regression Oscillator (LRO)
A refined implementation of the LRO calculates deviations from a regression line, normalized for improved trend detection.
Identifies bullish and bearish crossovers with added alerts and visual markers.
Includes proximity alerts for critical thresholds to help traders anticipate key market movements.
Dynamic Support and Resistance Integration
Incorporates ENIGMA Signal Logic to identify swing highs and lows, dynamically marking them as fractal support and resistance levels.
When a sell signal from ENIGMA is generated, traders can choose to sell immediately or use the low of the previous candle as the entry point. Similarly, for a buy signal, traders can buy immediately or use the high of the previous candle for entry. These signals are visually indicated by a green triangle for buy signals, ensuring clear and actionable insights.
Advanced Visualization
Displays key levels with customizable horizontal lines (solid, dashed, or dotted) and labels for clarity.
Candle colours and mini arrows highlight trends and potential trading opportunities.
Real-Time Alerts
Alerts for LRO threshold crossings and swing-level breaches keep you updated without the need for constant monitoring.
Optimized for Usability
Designed to keep charts clean by limiting displayed trades and signals to recent activity.
Adjustable parameters ensure flexibility and a user-friendly experience.
How It Works
Trend Detection with Enhanced LRO
The indicator builds on the Linear Regression Oscillator , calculating oscillations of price movements and normalizing them for trend analysis. Crossovers and threshold proximity are visualized on the chart and trigger alerts for potential market shifts.
Dynamic Support and Resistance Levels
The ENIGMA Signal Logic identifies recent swing highs and lows, marking them as key levels. These levels are dynamically updated as new swing points are detected, providing actionable support and resistance zones.
Signal Confirmation
Buy or sell signals are confirmed when:
Price breaches the swing levels.
The LRO aligns with directional bias (e.g., bearish crossover for sell signals).
Signals are further clarified by ENIGMA's green triangle indicators, showing key buy and sell opportunities.
Visualization and Alerts
Signals are displayed using arrows, labelled horizontal lines, and optional candle colours. Alerts notify traders of key events, such as LRO threshold crossings or swing-level breaches.
How to Use
Choose your Trading Style: Scalping, Intraday, or Swing Trading. The indicator adjusts its default settings automatically.
Fine-tune parameters like LRO thresholds, line lengths, and the number of visible trades to suit your preferences.
Observe the chart for signals:
Green arrows and lines indicate buy opportunities.
Red arrows and lines signal sell opportunities.
Use the alert system to stay informed about LRO thresholds and signal confirmations.
Integrate the indicator with your existing trading strategy for better decision-making.
Acknowledgement
This script was inspired by the Linear Regression Oscillator . While it builds on the core concept, this implementation introduces unique enhancements, such as dynamic signal integration, trading style adaptability, and advanced visualization tools, making it a highly customizable and versatile tool for traders.
Disclaimer
This indicator is intended for educational purposes only and should not be considered financial advice. Always perform due diligence and apply appropriate risk management when trading.
