cd_cisd_market_CxHi Traders,
Overview:
Many traders follow market structure to identify the market direction and seek trade opportunities in line with the trend.
However, markings derived from user-defined inputs can create different structures, depending on personal choices. For instance, choosing a pivot distance of 3 instead of 2 alters the structure, even though the chart remains the same. Ideally, the structure should remain consistent.
"Change in State Delivery" ( CISD ) is a widely accepted concept among traders and is considered a significant indicator of market direction based on the gain/loss of CISD levels.
In this indicator, CISD is selected as the primary criterion for marking market structure, eliminating the influence of user-dependent variations.
Here is a summary of the key logic and rules applied:
• When the price forms a new high/low, that level is only considered a pivot if a CISD has occurred.
• A bullish CISD is always followed by a bearish CISD, and vice versa.
• Pivot points form the internal structure.
• The internal structure is used to interpret the swing structure.
• Probabilities are derived from internal structure patterns.
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Details:
How is CISD determined?
As is commonly known:
• When price makes a new high, the opening level of the first candle in the consecutive bullish candle sequence is marked.
• When price makes a new low, the opening of the first candle in the consecutive bearish sequence is marked.
• If there’s only one candle in the sequence, its opening level is used.
In a bullish market, losing a bearish CISD level (i.e., a close below it) or in a bearish market, gaining a bullish CISD level (i.e., a close above it) is interpreted as a potential shift in buyer-seller dominance and a possible market reversal.
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How are internal (pivot) levels determined?
• When price closes below a bearish CISD level, the highest candle's high becomes a pivot high (PH).
• When price closes above a bullish CISD level, the lowest candle's low becomes a pivot low (PL).
• If the new PH is above the previous PH, it’s labeled as HH (Higher High); otherwise, LH (Lower High).
• If the new PL is below the previous PL, it’s labeled as LL (Lower Low); otherwise, HL (Higher Low).
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Internal Market Structure:
• A series of HHs indicates a bullish internal structure.
• A series of LLs indicates a bearish internal structure.
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Swing (Main) Market Structure:
Using internal pivots and previous swing levels, the main market structure is derived.
• A new swing high (SH) requires the price to move above the previous SH.
• A new swing low (SL) requires the price to move below the previous SL.
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Probability Calculation:
Pivot levels forming the internal structure are coded as five-element sequences.
There are 64 possible combinations of such sequences made from consecutive PH and PL values.
Each pattern’s frequency from its starting candle is tracked.
To make it more understandable:
For example, after the four-sequence “HH, LL, LH,HL”, either HH or LH might follow.
The table shows the statistical likelihood of both possible outcomes for the most recent four-element sequence on the chart.
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How reliable is it?
To assess reliability, results are calculated from the beginning using:
Success Rate (Suc. Rt) = Number of Correct Predictions / Total Predictions
This value is added to the table for reference.
It’s important to note that no statistical outcome guarantees certainty—every result offers a different interpretation. What truly matters is to avoid getting stopped out 😊.
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Menu Options:
Show/hide preferences and color selections can be customized via the indicator menu.
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What’s Coming in Future Versions?
Features such as FVG (Fair Value Gaps) between swing levels, volume imbalances, order blocks / mitigation blocks, Fibonacci levels, and relevant trade suggestions will be added.
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This is a BETA version that I believe will help simplify your market reading. I’d be happy to hear your feedback and suggestions.
Cheerful Trading!
Pontos e níveis de pivô
The Butterfly [theUltimator5]This is a technical analysis tool designed to automatically detect and visualize Butterfly harmonic patterns based on recent market pivot structures. This indicator uses a unique plotting and detection algorithm to find and display valid Butterfly patterns on the chart.
The indicator works in real-time and historically by identifying major swing highs and lows (pivots) based on a user-defined ZigZag length. It then evaluates whether the most recent price structure conforms to the ideal proportions of a bullish or bearish Butterfly pattern. If the ratios between price legs XA, AB, BC, and projected CD meet defined tolerances, the pattern is plotted on the chart along with a projected D point for potential reversal.
Key Features:
Automatic Pivot Detection: The script analyzes recent price action to construct a ZigZag pattern, identifying swing points as potential X, A, B, and C coordinates.
Butterfly Pattern Validation: The pattern is validated against traditional Fibonacci ratios:
--AB should be approximately 78.6% of XA.
--BC must lie between 38.2% and 88.6% of AB.
--CD is projected as a multiple of BC, with user control over the ratio (e.g., 1.618–2.24).
Bullish and Bearish Recognition: The pattern logic detects both bullish and bearish Butterflies, automatically adjusting plotting direction and color themes.
Custom Ratio Tolerance: Users can define how strictly the AB/XA and BC/AB legs must adhere to ideal ratios, using a percentage-based tolerance slider.
Fallback Detection Logic: If a new pattern is not identified in recent bars, the script performs a backward search on the last four pivots to find the most recent valid pattern.
Force Mode: A toggle allows users to force the drawing of a Butterfly pattern on the most recent pivot structure, regardless of whether the ideal Fibonacci rules are satisfied.
Dynamic Visualization:
--Clear labeling of X, A, B, C, and D points.
--Colored connecting lines and filled triangles to visualize structure.
--Optional table displaying key Fibonacci ratios and how close each leg is to ideal values.
Inputs:
Length: Controls the sensitivity of the ZigZag pivots. Smaller values result in more frequent pivots.
Tolerance (%): Adjustable threshold for acceptable deviation in AB/XA and BC/AB ratios.
CD Length Multiplier: Projects point D by multiplying the BC leg using a value between 1.618 and 2.24.
Force New Pattern: Overrides validation checks to display a Butterfly structure on recent pivots regardless of ratio accuracy.
Show Table: Enables a table showing calculated ratios and deviations from the ideal.
Asia & London Most Recent High/Low + NY OpenMarks out Asia and London session High and low.
Great areas for a liquidity sweep
just for convenience
London levels update at market open. . . I hope
SMT DivergenceSMT Divergence Indicator
This powerful indicator identifies high-probability reversal points by detecting SMT (Smart Money Technique) divergences between two correlated assets. It spots subtle shifts in market momentum, revealing when one asset fails to confirm the price action of another—often signaling an impending trend change.
Key Features:
Inter-Market Divergence Detection: Automatically compares the price action of the main symbol with a second user-defined asset.
Identifies Key Reversals: Pinpoints both bullish and bearish SMT divergences, highlighting hidden strength in downtrends and underlying weakness in uptrends.
Customizable Pivot Detection: Allows fine-tuning of the pivot length to adjust sensitivity for different market conditions and timeframes.
Flexible Display Modes: Choose between clean 'Lines' connecting the diverging pivots or precise 'Labels' marking the exact high/low points.
Full Visual Customization: Complete control over the colors and line thickness for seamless integration with your existing chart layout.
Built-in Alerts: Stay notified of every potential opportunity with alerts for both bullish and bearish signals.
Settings:
Core Parameters:
Comparison Symbol: Select the second asset to compare against for divergence analysis (e.g., NQ1! if you are charting ES1!).
Pivot Length: Defines the number of bars to the left and right required to confirm a pivot high or low.
Visual Settings:
Display Style: Choose to visualize divergences as 'Lines' or 'Labels'.
Bearish/Bullish Color: Set custom colors for bearish and bullish divergence indicators.
Line Width: Adjust the thickness of the divergence lines for optimal visibility.
Perfect for traders who utilize inter-market analysis to confirm trade ideas. The SMT Divergence indicator provides a crucial edge by exposing non-confirmations between related assets, allowing for earlier and more confident entries into potential market reversals.
Sessions BrockJavaThis script is a flexible, timezone-aware Session High/Low indicator for TradingView. It is based on the original work of kurtsmock (Mozilla Public License 2.0) and includes enhancements for UTC offset handling and autoscale compatibility.
Features:
Tracks and plots the highest and lowest prices within user-defined trading sessions.
Session times default to UTC, but you can set a custom UTC offset (e.g., -4 for New York, 0 for London, +8 for Singapore).
Reset modes: by session, by a set number of hours, or daily.
Backtesting support: specify a date range to limit indicator activity to historical periods.
Session constraint: restricts operation to specific sessions, with optional weekend inclusion for crypto or 24/7 markets.
Visual customization: choose to display session high/low as lines, background color, or filled regions. All colors and transparencies are user-configurable.
Efficient plotting: session levels are always included in TradingView’s autoscale, so you never lose sight of key levels.
Technical details:
Session definition uses TradingView’s session string format (e.g., 1800-1500).
Timezone handling is automatic and accurate, even with custom offsets.
Designed for high efficiency, supporting up to 5000 bars back and 500 lines.
Credit:
Major credit to kurtsmock, the original author. This version adds UTC offset and improved autoscale support.
License: Mozilla Public License 2.0
If you need session-based high/low levels that always fit your chart and your trading hours, this script is for you.
v5_ikun&A81_Pivot_Points-v1piviot points r1 r2 r3 r4 r5 s1 s2 s3 s4 s5 s6 s1m r1m TC BC - all days/today
Session Highs & Lows - Current Day OnlyTJR Strategy of Sessions, high low marker, feel free to use it and its a first just trying Pine script out
DF: Psychological LevelsSimply lets you plot horizontal levels at a certain interval
example
22500
22400
22300
22200
22100
22000
Very simple
Moving Average RespectSimple script that looks at the 10 SMA, 21 EMA & 50 SMA moving averages and looks back to see which one price respects the most. Provides the moving averages and a table to show which of those are respected within a definable proximity (editable).
Vortex Pivot Strategy (VPS)Strategy Overview:
This custom indicator is designed around a powerful contrarian trading philosophy: capitalize on market-wide pessimism among both short-term and mid-term traders, and enter positions at historically high-probability bounce zones using pivot levels.
The setup combines three core ideas:
A clear downtrend structure, where short- and mid-term participants are in loss.
Entry at S3 pivot support, which statistically represents extreme oversold zones.
A quick, rational exit at the central pivot level, minimizing holding time and maximizing reward-to-risk efficiency.
📈 Conditions for Entry (Buy Setup):
50-day SMA above 20-day SMA, which is above the current price.
This sequence implies that mid-term traders (50-day SMA) are in loss, short-term traders (20-day SMA) are in loss, and price has dropped below both — indicating peak pessimism and fear.
Price must touch or dip below the S3 pivot level (from the Pivot Points Standard - Weekly).
S3 is considered an extreme support zone. When price touches it while the SMA structure confirms maximum bearish sentiment, it sets up a high-probability bounce scenario.
🎯 Exit Strategy (Target):
The central Pivot Point (P) becomes your exit level.
Since the price is entering from a deeply oversold region, a reversion to the weekly pivot is statistically probable.
This ensures the trade remains quick, directional, and avoids greed-based exits.
💡 Why This Works (Psychology & Edge):
This is a player-versus-player game. When you buy during a setup like this, you're essentially buying when the majority of active traders are in pain:
Mid-term traders (50 SMA) are holding positions at higher levels — they’re sitting in drawdown.
Short-term traders (20 SMA) are also underwater.
Panic is widespread. Volume dries up. Selling is largely exhausted.
Meanwhile, you're entering a fundamentally strong stock at a deeply discounted price, and aiming for a modest reversion — not an unrealistic uptrend continuation. That gives you both psychological and statistical edge.
You're not trying to predict a reversal — you're positioning against fear and riding the natural bounce that follows.
🔧 How to Use This Indicator:
Add this indicator to a Daily timeframe chart of fundamentally strong stocks (you should do your own fundamental screening).
Wait for the condition:
SMA stack = 50 > 20 > Price AND price touches S3.
The script will automatically draw a horizontal line at the entry (S3) and the target (Pivot).
Once triggered, take the trade and exit around the Pivot level.
Optional: you can use manual averaging or position sizing based on your risk strategy since fundamentally strong stocks typically revert over time.
Dual HalfTrend Enhanced"Hello friends, this is a trend indicator,
I created this indicator inspired by HalfTrend.
"It's a very simple logic on how to trade in this. There are two types of trend periods in this, one small and one large. Whichever is the larger trend, that is our pro-trend. Now, we enter that trend when the pro-trend comes in the smaller trend. For example...
if the bigger trend is showing an uptrend, we will only look for buy signals. When the smaller trend also turns into an uptrend, we enter a buy trade.
the sell scenarios are the same.
Last 2 Days Key LevelsLast 2 Days Key Levels
Overview
This indicator is designed for intraday traders who leverage key historical price levels to identify potential support and resistance zones. It cleanly plots the most important levels from the previous two trading days, giving you a clear map of the price action and helping you anticipate potential turning points in the market.
The core principle is that the market has memory. The highs, lows, and calculated pivot points from previous sessions often remain significant and can act as powerful magnets or barriers for price in the current session. This script gives you a configurable and visually clean way to track these critical zones.
Key Features
Multi-Day Level Plotting: Display key levels not just from the prior day (PD), but also from two days ago (PD2), allowing you to track a deeper level of market structure.
Comprehensive Key Levels: For each historical day, the indicator plots:
High
Low
Mid-Point (the direct halfway point of the day's range)
Central Pivot Point (the average of the high, low, and close)
Premarket High/Low: Includes the high and low from the current day's premarket session, which are critical levels for morning trading.
Full Customization: Every level is fully configurable. Through a cleanly organized input menu, you can:
Toggle the visibility of each individual line (e.g., show only the highs and lows).
Customize the color, line style (solid, dotted, dashed), and thickness for each group of levels (Prior Day, 2-Day Prior, Premarket).
The Strategic Advantage: Why Track 2-Day Prior Levels?
While many traders focus exclusively on the previous day's levels, tracking the levels from two days ago provides a distinct strategic edge, especially in the early morning session.
In the opening minutes of trading, or even in the premarket, price action is often volatile and searching for direction. The market will frequently test not just yesterday's levels, but also the key zones from the day before. These "older" levels are often overlooked by other market participants, making them powerful hidden support and resistance zones.
By having the 2-day prior levels on your chart, you can:
Anticipate early session turning points that others might not see.
Identify stronger confirmation when a 2-day level aligns with a prior-day or premarket level.
Avoid being caught off guard by reactions to seemingly "random" price points that are, in fact, significant historical levels.
How to Use
Support & Resistance: Use the plotted lines as potential areas where price may bounce or reverse. Look for price to respect these levels for potential entry or exit signals.
Breakout & Breakdown Zones: A clean break and hold above a resistance level (or below a support level) can signal the start of a new directional move.
Targeting: The levels can serve as logical price targets for your trades.
All settings are organized into clear groups in the "Inputs" tab, allowing you to easily configure the indicator to your exact preferences.
This script is based on the foundational concepts of the 'Daily Levels Suite' by FourC. It was generated and optimized with Gemini, by Mercadero.AI.
Pivot Points StandardThis is an indicator that has multiple EMAs and pivot points and RSI table. It will help to trade better. ShubhTrades
Murrey Math Lines v6Murrey Math Lines v6
This is not just another Murrey Math indicator. It's a complete, ground-up modernization of the classic concept, rebuilt with the latest Pine Script features for unparalleled performance, accuracy, and usability. While preserving the core mathematical genius of T.H. Murrey's system, this version introduces a suite of modern tools designed for today's trader.
What are Murrey Math Lines?
Murrey Math Lines (MML) are a powerful system of support and resistance based on geometric formulas developed by T.H. Murrey. As a derivation of W.D. Gann's observations, Murrey's geometry simplifies Gann's theories into a more accessible application. The core principle is that price action tends to trend and retrace in 1/8th intervals.
These intervals create a "trading octave" with distinct levels, each having its own characteristic behavior:
& - Ultimate Resistance & Support: These lines are the hardest to break. They represent the top and bottom of the expected price range and are prime areas for reversals.
- Major Pivot: This is the most significant level, offering the strongest support and resistance within the octave. Price has a high probability of stopping and reversing here.
& - Strong Pivot/Reversal: These are strong, secondary pivot points where price often struggles to pass through.
& - The Trading Range: The price tends to consolidate between these two lines about 50% of the time. A decisive break outside this range often signals the start of a new trend.
& - Weak Support/Resistance: These levels are weaker, but when price moves too quickly towards them, they can act as initial stopping points or areas for a minor reversal.
& - Extended Octave: These lines show extreme overbought and oversold conditions beyond the primary 0/8 to 8/8 octave.
Modern Enhancements in This Version
Session-Locked Precision: Anchor the Murrey Lines to the start of a specific trading session (e.g., NYSE open). The levels remain constant for the entire session, providing a stable and reliable framework for your daily analysis.
Visual Trading & Reversal Zones: Instead of just lines, this indicator can fill the key trading range (3/8 to 5/8) and reversal zones (0/8-1/8 & 7/8-8/8) with color, giving you an instant visual reference of market sentiment.
Dynamic "Closest Price" Labels: Declutter your chart! The indicator can intelligently display only the label for the Murrey level closest to the current price, keeping your view clean while providing critical information at a glance.
Integrated Alert System: Never miss a key level touch again. Set up alerts for when the price approaches major lines, the trading range, or all lines, customized to your trading style.
Advanced Pine Script Engine: Built on a modern codebase using User-Defined Types and dynamic drawing objects (line, box, label). This ensures the indicator is fast, efficient, and non-repainting, even on lower timeframes.
Intuitive User Interface: Settings are neatly organized into collapsible groups with clear tooltips, making it incredibly easy to customize every aspect of the indicator, from calculation parameters to colors.
A Note on Accuracy
Some of the other Murrey Math indicators on TradingView use different formulas and therefore produce varying results. This version has been carefully checked against MML indicators on other professional platforms to ensure its calculations are accurate and reliable.
Credits
This indicator is a complete overhaul and modernization of the original "MM Lines " script. Full credit for the original calculation logic and concept goes to its author, JRL_6.
Grothendieck-Teichmüller Geometric SynthesisDskyz's Grothendieck-Teichmüller Geometric Synthesis (GTGS)
THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES
The 🎓 GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementation—such a task would demand computational power far beyond current trading platforms—it leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures.
1. Grothendieck-Teichmüller Theory: Deforming Market Structure
The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces.
Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts.
2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns
The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency.
Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty.
3. Tropical Geometry: Simplifying Complexity
The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication.
Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly.
4. Motivic Cohomology & Non-Commutative Geometry
The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces.
Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements.
5. Perfectoid Spaces & Homotopy Type Theory
The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics.
Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis.
The Combination is Key : No single theory dominates. GTGS ’s Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains.
🎛️ INPUTS: CONFIGURING THE GEOMETRIC ENGINE
The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision.
Grothendieck-Teichmüller Theory Inputs
🧬 Deformation Depth (Absolute Galois) :
What It Is : Controls the depth of Galois group deformations analyzed in market structure.
How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries.
Optimization :
Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D).
Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min).
Timeframes :
Scalping (1-5min) : 3-6 for quick local shifts.
Day Trading (15min-1H) : 8-12 for balanced analysis.
Swing Trading (4H-1D) : 12-20 for deep structural trends.
Sectors :
Stocks : Use 8-12 for stable trends.
Crypto : 3-8 for volatile, short-term moves.
Forex : 12-15 for smooth, cyclical patterns.
Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity.
🗼 Teichmüller Tower Height :
What It Is : Determines the height of the Teichmüller modular tower for hierarchical pattern detection.
How It Works : Builds modular levels to identify nested market patterns.
Optimization :
Higher Values (6-8) : Detects complex fractals, ideal for swing trading.
Lower Values (2-4) : Focuses on primary patterns, faster for scalping.
Timeframes :
Scalping : 2-3 for speed.
Day Trading : 4-5 for balanced patterns.
Swing Trading : 5-8 for deep fractals.
Sectors :
Indices : 5-8 for robust, long-term patterns.
Crypto : 2-4 for rapid shifts.
Commodities : 4-6 for cyclical trends.
Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware.
🔢 Galois Prime Base :
What It Is : Sets the prime base for Galois field computations.
How It Works : Defines the field extension characteristic for market analysis.
Optimization :
Prime Characteristics :
2 : Binary markets (up/down).
3 : Ternary states (bull/bear/neutral).
5 : Pentagonal symmetry (Elliott waves).
7 : Heptagonal cycles (weekly patterns).
11,13,17,19 : Higher-order patterns.
Timeframes :
Scalping/Day Trading : 2 or 3 for simplicity.
Swing Trading : 5 or 7 for wave or cycle detection.
Sectors :
Forex : 5 for Elliott wave alignment.
Stocks : 7 for weekly cycle consistency.
Crypto : 3 for volatile state shifts.
Pro Tip : Use 7 for most markets; 5 for Elliott wave traders.
Topos Theory & Sheaf Cohomology Inputs
🏛️ Temporal Site Size :
What It Is : Defines the number of time points in the topological site.
How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness.
Optimization :
Higher Values (30-50) : Smoother cohomology, better for trends in swing trading.
Lower Values (5-15) : Responsive, ideal for reversals in scalping.
Timeframes :
Scalping : 5-10 for quick responses.
Day Trading : 15-25 for balanced analysis.
Swing Trading : 25-50 for smooth trends.
Sectors :
Stocks : 25-35 for stable trends.
Crypto : 5-15 for volatility.
Forex : 20-30 for smooth cycles.
Pro Tip : Match site size to your average holding period in bars for optimal coherence.
📐 Sheaf Cohomology Degree :
What It Is : Sets the maximum degree of cohomology groups computed.
How It Works : Higher degrees capture complex topological obstructions.
Optimization :
Degree Meanings :
1 : Simple obstructions (basic support/resistance).
2 : Cohomological pairs (double tops/bottoms).
3 : Triple intersections (complex patterns).
4-5 : Higher-order structures (rare events).
Timeframes :
Scalping/Day Trading : 1-2 for simplicity.
Swing Trading : 3 for complex patterns.
Sectors :
Indices : 2-3 for robust patterns.
Crypto : 1-2 for rapid shifts.
Commodities : 3-4 for cyclical events.
Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection.
🌐 Grothendieck Topology :
What It Is : Chooses the Grothendieck topology for the site.
How It Works : Affects how local data integrates into global patterns.
Optimization :
Topology Characteristics :
Étale : Finest topology, captures local-global principles.
Nisnevich : A1-invariant, good for trends.
Zariski : Coarse but robust, filters noise.
Fpqc : Faithfully flat, highly sensitive.
Sectors :
Stocks : Zariski for stability.
Crypto : Étale for sensitivity.
Forex : Nisnevich for smooth trends.
Indices : Zariski for robustness.
Timeframes :
Scalping : Étale for precision.
Swing Trading : Nisnevich or Zariski for reliability.
Pro Tip : Start with Étale for precision; switch to Zariski in noisy markets.
Unified Field Configuration Inputs
⚛️ Field Coupling Constant :
What It Is : Sets the interaction strength between geometric components.
How It Works : Controls signal amplification in the unified field equation.
Optimization :
Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets.
Lower Values (0.001-0.1) : Subtle signals for trending markets.
Timeframes :
Scalping : 0.5-0.8 for quick, strong signals.
Swing Trading : 0.1-0.3 for trend confirmation.
Sectors :
Crypto : 0.5-1.0 for volatility.
Stocks : 0.1-0.3 for stability.
Forex : 0.3-0.5 for balance.
Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets.
📐 Geometric Weighting Scheme :
What It Is : Determines the framework for combining geometric components.
How It Works : Adjusts emphasis on different mathematical structures.
Optimization :
Scheme Characteristics :
Canonical : Equal weighting, balanced.
Derived : Emphasizes higher-order structures.
Motivic : Prioritizes arithmetic properties.
Spectral : Focuses on frequency domain.
Sectors :
Stocks : Canonical for balance.
Crypto : Spectral for volatility.
Forex : Derived for structured moves.
Indices : Motivic for arithmetic cycles.
Timeframes :
Day Trading : Canonical or Derived for flexibility.
Swing Trading : Motivic for long-term cycles.
Pro Tip : Start with Canonical; experiment with Spectral in volatile markets.
Dashboard and Visual Configuration Inputs
📋 Show Enhanced Dashboard, 📏 Size, 📍 Position :
What They Are : Control dashboard visibility, size, and placement.
How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality .
Optimization :
Scalping : Small size, Bottom Right for minimal chart obstruction.
Swing Trading : Large size, Top Right for detailed analysis.
Sectors : Universal across markets; adjust size based on screen setup.
Pro Tip : Use Large for analysis, Small for live trading.
📐 Show Motivic Cohomology Bands, 🌊 Morphism Flow, 🔮 Future Projection, 🔷 Holographic Mesh, ⚛️ Spectral Flow :
What They Are : Toggle visual elements representing mathematical calculations.
How They Work : Provide intuitive representations of market dynamics.
Optimization :
Timeframes :
Scalping : Enable Morphism Flow and Spectral Flow for momentum.
Swing Trading : Enable all for comprehensive analysis.
Sectors :
Crypto : Emphasize Morphism Flow and Future Projection for volatility.
Stocks : Focus on Cohomology Bands for stable trends.
Pro Tip : Disable non-essential visuals in fast markets to reduce clutter.
🌫️ Field Transparency, 🔄 Web Recursion Depth, 🎨 Mesh Color Scheme :
What They Are : Adjust visual clarity, complexity, and color.
How They Work : Enhance interpretability of visual elements.
Optimization :
Transparency : 30-50 for balanced visibility; lower for analysis.
Recursion Depth : 6-8 for balanced detail; lower for older hardware.
Color Scheme :
Purple/Blue : Analytical focus.
Green/Orange : Trading momentum.
Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading.
⏱️ Minimum Bars Between Signals :
What It Is : Minimum number of bars required between consecutive signals.
How It Works : Prevents signal clustering by enforcing a cooldown period.
Optimization :
Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading.
Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping.
Timeframes :
Scalping : 0-2 bars for rapid signals.
Day Trading : 3-5 bars for balance.
Swing Trading : 5-10 bars for stability.
Sectors :
Crypto : 0-3 for volatility.
Stocks : 5-10 for trend clarity.
Forex : 3-7 for cyclical moves.
Pro Tip : Increase in choppy markets to filter noise.
Hardcoded Parameters
Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence).
Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets.
🎨 ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE
The GTTMTSF ’s visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions.
Motivic Cohomology Bands :
What They Are : Dynamic bands ( H⁰ , H¹ , H² ) representing cohomological support/resistance.
Color & Meaning : Colors reflect energy levels ( H⁰ tightest, H² widest). Breaks into H¹ signal momentum; H² touches suggest reversals.
How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups.
Morphism Flow (Webbing) :
What It Is : White particle streams visualizing market momentum.
Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation.
How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts.
Future Projection Web (Fractal Grid) :
What It Is : Fibonacci-period fractal projections of support/resistance.
Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (φ), resonance (ρ), and obstruction ( H¹ ). ⚡ marks extreme anomalies.
How to Trade : Target ⚡/● levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups.
Holographic Mesh & Spectral Flow :
What They Are : Visuals of harmonic interference and spectral energy.
How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement.
📊 THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL
The Dashboard translates complex mathematics into actionable intelligence.
Unified Field & Signals :
FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations.
RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves.
SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups.
Geometric Components :
What They Are : Breakdown of seven mathematical engines.
How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening.
Signal Performance :
What It Is : Tracks indicator signal performance.
How to Use : Assesses real-time performance to build confidence and understand system behavior.
🚀 DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS
The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series.
Why This Is Unlike Anything Else :
Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools.
Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field .
Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice.
Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding.
The GTTMTSF is more than an indicator; it’s a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos.
" Where there is matter, there is geometry. " - Johannes Kepler
— Dskyz , Trade with insight. Trade with anticipation.
Liquidity Zones DetectorIdentifies high-probability liquidity zones by scanning for price levels repeatedly touched by candle wicks within a lookback period. Highlights potential buy- and sell-side liquidity areas as shaded boxes on the chart.
RSX OBV & VWAP Weighted+This indicator combines RSX (Relative Strength eXtra), OBV (On-Balance Volume), and VWAP (Volume-Weighted Average Price) into a powerful momentum oscillator. It helps traders identify overbought/oversold conditions, accumulation/distribution zones, and trend strength with volume confirmation.
Key Features:
RSX Fast & Slow Lines: Smoothed momentum oscillator with adjustable lengths.
Volume Weighting: Option to weight price action using OBV or VWAP for better trend confirmation.
Custom Moving Average: Choose between SMA, EMA, WMA, or DEMA applied to RSX values.
Accumulation/Distribution Zones: Visual thresholds for extreme momentum conditions.
Volume Histogram: Displays OBV/VWAP impact on momentum (optional).
How to Use It?
Trend Identification:
Fast RSX > Slow RSX → Bullish momentum.
Fast RSX < Slow RSX → Bearish momentum.
Overbought/Oversold Levels:
Above 71 (Upper Level) → Overbought (potential reversal/sell signal).
Below 29 (Lower Level) → Oversold (potential reversal/buy signal).
Volume Confirmation:
OBV/VWAP Histogram shows if volume supports the trend.
Custom MA:
Use the moving average as a dynamic support/resistance level.
Best Settings:
Intraday Trading: Fast RSX (7), Slow RSX (14).
Swing Trading: Fast RSX (14), Slow RSX (21).
Volume Weighting: Enable for stronger trend confirmation.
Что такое индикатор RSX OBV & VWAP Weighted+?
Этот индикатор объединяет RSX (Relative Strength eXtra), OBV (On-Balance Volume) и VWAP (Volume-Weighted Average Price) в мощный осциллятор. Он помогает определять перекупленность/перепроданность, зоны накопления/распределения и силу тренда с учетом объема.
Основные функции:
RSX Fast & Slow Lines: Сглаженный осциллятор с настраиваемыми периодами.
Взвешивание по объему: Возможность учитывать OBV или VWAP для усиления сигналов.
Скользящая средняя: На выбор SMA, EMA, WMA или DEMA, применяемая к значениям RSX.
Зоны накопления/распределения: Визуальные уровни для экстремальных состояний.
Гистограмма объема: Показывает влияние OBV/VWAP на импульс (опционально).
Как использовать?
Определение тренда:
Fast RSX > Slow RSX → Бычий импульс.
Fast RSX < Slow RSX → Медвежий импульс.
Уровни перекупленности/перепроданности:
Выше 71 (верхний уровень) → Перекупленность (сигнал к продаже).
Ниже 29 (нижний уровень) → Перепроданность (сигнал к покупке).
Подтверждение объемом:
Гистограмма OBV/VWAP показывает, поддерживает ли объем движение.
Скользящая средняя:
Используйте как динамический уровень поддержки/сопротивления.
Рекомендуемые настройки:
Внутридневная торговля: Fast RSX (7), Slow RSX (14).
Свинг-трейдинг: Fast RSX (14), Slow RSX (21).
Взвешивание по объему: Включите для более сильных сигналов.
Market Structure [TFO]📊 Market Structure — Pine Script Indicator
Author: © tradeforopp
License: Mozilla Public License 2.0
Platform: TradingView
Type: Market structure analyzer (BOS/MSS, swings, bar color)
🧠 What It Does:
This indicator automatically identifies market structure shifts (MSS) and breaks of structure (BOS) based on pivot highs and lows. It detects when price violates previous swing points and visually marks the shift between bullish and bearish phases.
🔍 Key Features:
Swing Detection:
Uses pivot_strength to determine significant swing highs and lows.
Swings are tracked using a custom swing structure with index and value.
MSS & BOS Logic:
A Market Structure Shift (MSS) occurs when price changes direction (e.g., bullish to bearish).
A Break of Structure (BOS) happens when the price breaks the previous swing without changing trend direction.
Visual Markers:
Labels on chart showing MSS or BOS at break levels.
Optional pivot markers as small triangle shapes at swing points.
Dashed/solid/dotted lines between the break point and current candle.
Bar Coloring:
Turns candles green for bullish breaks, red for bearish breaks.
Controlled via the “Show Bar Colors” setting.
Alerts:
Alert conditions for all MSS/BOS events.
Can be used for automation or signals in TradingView.
⚙️ User Inputs:
Pivot Strength – How many candles left/right to confirm a high/low.
Show Pivots – Enables small triangle markers.
Show BOS/MSS – Toggles structure break visuals and labels.
Line Style – Customizes BOS/MSS line appearance.
Bar Colors – Enables green/red candle coloring on structure changes.
🧩 Use Cases:
Track structural shifts in real time on any asset.
Build smart money concept (SMC) strategies.
Filter entries/exits based on trend changes.
Combine with liquidity or volume-based tools for confirmation.
🚀PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
👽 PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
👽 PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
Coffee Box Ninja- Time zone and automatic box for the COFFEE BOX strategy based on New York time.
- Auto update for summer and winter time
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- Rango de horarios y caja automatica para la estrategia COFFEE BOX basado en horarios de Nueva York.
- Actualizacion automatica horario de verano en invierno
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Wyckoff Ninja 🥷🏼
linktr.ee
This indicator highlights a specific time range during the New York trading session by drawing a dynamic box that captures the high and low between the defined start and end times. It is useful for identifying price ranges during important market windows, such as the "coffee time" box from 8:30 AM to 10:00 AM (NY time). The box updates as the session progresses and finalizes when the range ends.
Body GapsThis script is a customized version based on TradingView’s official “Gaps” indicator. The original version detects gaps using the distance between highs and lows of consecutive bars. In contrast, this script introduces a refined definition of gaps by focusing strictly on real body gaps—price zones where the open and close of two consecutive candles do not overlap.
Additionally, the gap closure logic has been enhanced:
Instead of checking for simple wick penetration, a gap is only marked as closed when the closing price fully re-enters the gap zone, ensuring a more reliable and practical interpretation for traders.