Hopiplaka Goldbach System with SignalsThis study builds a PO3 (Power-of-3) price range, projects Goldbach-derived levels inside that range, and issues contextual buy/sell signals only when multiple, explicitly defined filters align (Tesla-Vortex state, ICT AMD phase, time confluence, volume bias, level quality, and momentum). It is a rules-based confluence tool—not an auto-trader.
What it plots
- PO3 Range: Upper/lower dashed boundaries for a selectable PO3 size (3…2187). Optional auto-expansion (×3) occurs when price nears range edges by a user-set sensitivity.
- Goldbach Levels (Premium / Standard / Discount): Lines computed from Goldbach partitions mapped into the active PO3 range.
- OB / LV flags: A level can be flagged as Order-Block zone (OB) or Liquidity-Void zone (LV) when spacing/quality rules (below) are met.
- Tesla Vortex nodes: Levels marked when they align with the Vortex criteria.
- Hit markers: A small dot when price touches a level within tolerance.
- Arrows: Buy/Sell arrows only when confluence and confidence thresholds are satisfied.
- Info panel: Live readout of PO3 stats, current signal + confidence, Tesla state/strength, AMD phase, time bias, volume bias, and liquidity status.
- Data-window series: Vortex strength, time bias value, volume bias flag, and signed signal strength.
How it works (high-level but specific)
1) PO3 engine
- Let S be the chosen PO3 size. The script computes = as the active range.
- Auto-expansion: If price moves within a user-defined percentage of Lower/Upper, the range may expand to 3S (once per trigger), so higher-order structure is captured without re-anchoring.
2) Goldbach mapping
- For even numbers E ∈ {4,6,…,Precision}, generate prime partitions E = p₁ + p₂.
- Each partition defines a ratio r = p₁/(p₁+p₂). The level is L = Lower + r·(Upper−Lower).
Classification:
- Premium: partitions with “small-prime” characteristics (higher weight).
- Discount: partitions with “larger-prime” characteristics (lower weight).
Standard: otherwise.
- Spacing rules (to avoid clutter and force structure):
- Enforce “true” spacing near ~6% of the PO3 height between adjacent lines.
- If a level is flagged OB, use the OB spacing threshold (e.g., ~8%).
- If a level is flagged LV, use the LV spacing threshold (e.g., ~9%).
- Levels violating spacing vs. existing levels are discarded.
- Reliability score starts from the partition weight and is later adjusted by time/volume/vortex factors.
3) Tesla-Vortex filter
- Uses a fixed lookback to compute average range vs. directional change and produces a Vortex strength; from this it derives a state (mean-reverting “MMxM” vs. trend).
- Some levels qualify as Tesla nodes; those receive priority/weighting in signals and thicker styling on chart.
4) ICT context (AMD/IPDA bias proxy)
- Over a user lookback, compute recent high/low and price position inside that range to classify Accumulation / Manipulation / Distribution and a simple structure bias.
5) Time analysis (Goldbach-time confluence)
- For the last N bars, detect swing highs/lows; check whether (hour + minute) is an even number with a valid prime partition.
- Build a time bias from the relative frequency of Goldbach-valid times at swings and a confluence score used in signals.
6) Volume weighting
- Compare current volume to a lookback average. If relative volume is elevated, reliability of nearby levels is scaled up.
7) Signal engine
- Candidate only forms near a qualified level and must pass these checks (user can require 1–6 of them):
1- Tesla state alignment (e.g., MMxM favors buys; trend favors sells when applicable)
2- AMD phase alignment (Accumulation→buys, Distribution→sells)
3- Time bias alignment (bullish vs. bearish)
4- Volume bias (high relative)
5- Level quality (Tesla node / Premium)
6- Momentum (simple 2-bar direction check)
- If Confluence Count ≥ Required and scaled Confidence ≥ 0.5, a Buy (below level) or Sell (above level) arrow is printed. Cooldown prevents immediate repeats.
Inputs you’ll care about
- PO3: range size, auto-expansion toggle & sensitivity, liquidity zone width.
- Goldbach: precision cap (computation depth), enforce ~6% spacing, OB/LV spacing.
- Signals: sensitivity, min reliability, confluence required, cooldown, min distance to level, show arrows/hit markers.
- Filters (toggles): Tesla-Vortex, AMD, Time, Volume, Liquidity.
- Display: show historical/future projections, labels, paths, phase transitions; per-feature colors.
Alerts included
- Buy / Sell signal (with confluence)
- Goldbach level hit
- PO3 upper/lower break and PO3 expansion
- Near Goldbach / Tesla node / Premium level
- Vortex phase change
- Liquidity sweep risk
- Strong time confluence
- High-volume level approach
Confirmation / repainting
- Calculations are live; arrows can change until the bar closes. For stricter behavior, use alerts on bar close or require close-based confirmations in your rules.
How to use (quick workflow)
1- Pick a PO3 size that matches your timeframe/instrument (e.g., 81–243 for intraday; larger for swing).
2- Prioritize Tesla nodes, Premium OB, and time-confluent, volume-weighted levels.
3- Start with Confluence Required = 3–4 and Cooldown = 10–20; then tune Sensitivity to control frequency.
4- Execute with your entry model (e.g., pullback or micro-MS break) and fixed risk.
Why these components are combined (originality rationale)
- Goldbach partitions provide a deterministic way to project repeatable intra-range proportions.
- PO3 stabilizes the reference frame so Goldbach levels are comparable across moves.
- Tesla-Vortex / AMD / Time / Volume each target a different failure mode (wrong regime, wrong phase, wrong time, weak participation). Requiring confluence reduces false positives versus any single method. This is not a cosmetic mashup; each component gates signals.
This publication consolidates prior small variations; future improvements will be issued using Update rather than separate scripts.
Analisi trend
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV)
Version: PineScript™v6
📌Description
The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss.
POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously.
The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities.
🚀Points of Innovation
Micro-POC calculation using advanced OHLC-based volume distribution estimation
Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency
Persistence scoring system that quantifies directional consistency over multiple periods
Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts
Dynamic color-coded visualization system with intensity-based feedback
Comprehensive customization options for resolution, periods, and thresholds
🔧Core Components
POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms
Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization
Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration
Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting
Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation
Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships
🔥Key Features
Real-time POC calculation with 10-100 configurable price bands for optimal precision
Velocity tracking with customizable lookback periods from 5 to 50 bars
Acceleration measurement for detecting momentum changes in POC movement
Persistence scoring to validate signal strength and filter false signals
Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions
Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps
Adjustable information table displaying real-time metrics and current signals
Heat ribbon visualization showing price-POC relationship intensity
Multiple threshold settings for customizing signal sensitivity
Export capability for use with separate panel indicators
🎨Visualization
POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude
Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity
Signal Markers: Clear exhaustion top/bottom signals with labeled shapes
Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status
Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions
📖Usage Guidelines
POC Calculation Settings
POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar
Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation
POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise
Velocity Settings
Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity
Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration
Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals
Persistence Settings
Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation
Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals
Visual Settings
Show POC Connecting Lines: Toggle display of colored lines connecting POC levels
Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship
Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon
Alert Settings
Enable Continuation Alerts: Toggle alerts for continuation pattern detection
Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection
Enable POC Gap Alerts: Toggle alerts for significant POC gaps
Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts
✅Best Use Cases
Identifying trend continuation opportunities when POC velocity aligns with price direction
Spotting potential reversal points through exhaustion pattern detection
Confirming breakout validity by monitoring POC gap behavior
Adding volume-based context to traditional technical analysis
Managing position sizing based on POC-price basis strength
⚠️Limitations
POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution
Effectiveness may vary in low-volume or highly volatile market conditions
Requires complementary analysis tools for complete trading decisions
Signal frequency may be lower in ranging markets compared to trending conditions
Performance optimization needed for very short timeframes below 1-minute
💡What Makes This Unique
Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data
Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels
Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator
Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions
Persistence Validation: Unique scoring system to filter signals based on directional consistency
🔬How It Works
Volume Distribution Estimation:
Divides each bar into configurable price bands for volume analysis
Applies sophisticated weighting based on OHLC relationships and proximity to close
Identifies the price level with maximum estimated volume as the POC
Velocity and Acceleration Calculation:
Measures POC rate of change over specified lookback periods
Normalizes values using ATR for consistent cross-market performance
Calculates acceleration as the rate of change of velocity
Signal Generation Process:
Combines trend direction analysis using EMA crossovers
Applies velocity and persistence thresholds to filter signals
Generates continuation, exhaustion, and gap alerts based on specific criteria
💡Note:
This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.
Machine Learning-Inspired Supply & Demand Zones [AlgoPoint]This indicator is a Smart Supply & Demand Zone tool, developed with principles inspired by Machine Learning (ML). It intelligently filters out market noise, allowing you to focus only on the most significant zones where institutional order flow is likely present.
💡 How It Works: Why Is This Indicator "Smart"?
Unlike traditional indicators that only measure simple price movements, this script uses an algorithm that asks the same critical questions an experienced market analyst would to qualify a zone:
- 1. Price Imbalance: How fast and aggressively did the price leave the zone? Our algorithm measures the body size of the "departure candle" relative to the current market volatility (ATR). A zone is only considered if it was formed by an explosive move that is statistically significant, indicating a major imbalance between buyers and sellers.
- 2. Volume Confirmation: Did the "smart money" participate in this move? The script checks if the volume on the departure candle was significantly higher than the recent average volume. A spike in volume confirms that the move was backed by institutional interest, adding strength and validity to the zone.
- 3. Valid Pivot Structure: Did the zone originate from a meaningful swing high or low? The algorithm first identifies a valid pivot structure, ensuring that zones are not drawn from insignificant or random price fluctuations.
Only when a potential zone passes these three critical tests—our "quality filter"—is it drawn on your chart.
🚀 Features & How to Use
Using the indicator is straightforward. You will see two primary types of boxes on your chart:
* 🟥 Red Box (Supply Zone): An area of potential resistance where selling pressure is likely to be strong. Look for potential shorting opportunities as the price approaches this zone.
* 🟩 Green Box (Demand Zone): An area of potential support where buying pressure is likely to be strong. Look for potential long opportunities as the price pulls back into this zone.
Dynamic Zone Management
This indicator is not static; it lives and breathes with the market:
- Fresh Zone: A newly formed zone appears in its full, vibrant color. These are the highest-probability zones as they have not yet been re-tested.
- Broken / Flipped Zone: You have full control over what happens when a zone is broken! In the settings, you can choose:
- Delete Zone: The zone will be removed completely when the price closes through it.
- Show as Broken (Flip): When broken, the zone will turn gray, stop extending, and remain on your chart. This is extremely useful for identifying Support/Resistance Flips, where a broken demand zone becomes new resistance, or a broken supply zone becomes new support.
⚙️ Settings & Customization
Fine-tune the indicator to match your personal trading style via the settings menu:
- Breakout Behavior: The most powerful feature. Choose between Delete Zone and Show as Broken (Flip) to customize your chart.
- Zone Finding Logic: Control the indicator's sensitivity.
- Selective: Requires both strong imbalance and high volume. Finds fewer, but higher-quality, zones.
- Moderate: Requires either strong imbalance or high volume. Finds more potential zones.
- Sensitivity Settings: Adjust the ATR Multiplier and Volume Multiplier to make the criteria for a "strong" zone stricter or looser.
BE-Fib Channel 2 Sided Trading█ Overview:
"BE-Fib Channel 2 Sided Trading" indicator is built with the thought of 2 profound setups named "Cup & Handle (C&H)" and "Fibonacci Channel Trading (FCT)" with the context of "day trading" or with a minimum holding period.
█ Similarities, Day Trading Context & Error Patterns:
While the known fact is that both C&H and FCT provide setups with lesser risk with bigger returns, they both share the similar "Base Pattern".
Note: Inverse of the above Image shall switch the setups between long vs short.
Since the indicator is designed for smaller time-frame candles, there may be instances where the "base pattern" does not visually resemble a Cup & Handle (C&H) pattern. However, patterns are validated using pivot points. The points labeled "A" and "C" can be equal or slightly slanted. Settings of the Indicator allows traders a flexibility to control the angle of these points to spot the strategies according to set conditions. Therefore, understanding the nuances of these patterns is crucial for effective decision-making.
█ 2 Sided Edge: FCT suggests to take trade closer to the yellow line to get better RR ratio. this leaves a small chance of doubt as to; what if price is intended to break the Yellow line thereby activating the C&H.
Wait for the confirmation is a Big FOMO with a compromised RR.
Hence, This indicator is designed to handle both the patterns based on the strength, FIFO and pattern occurring delay.
█ How to Use this Indicator:
Step 1: Enable the Show Sample Sensitivity option to understand the angle of yellow line shown in the sample image. By enabling this option, On the last bar you shall see 4 lines being plotted depicting the max angle which is acceptable for both long and short trades.
Note: Angle can be controlled via setting "Sensitivity".
Higher Sensitivity --> Higher Setup identification --> can lead to failed setups due to 2 sided trading.
Lower Sensitivity --> Lower Setup identification --> can increase the changes of being right.
Step 2: Adjust the look back & look forward periods which shall be used for identifying patterns.
Note: Smaller values can lead to more setups being identified but can hamper the performance of the indicator while increasing the chances of failures. larger values identifies more significant setup but leads to more waiting period thereby compromising on the RR.
Step 3: Adjust the Base Range.
Note: Smaller values can lead to more setups being identified but can hamper the performance of the indicator while increasing the chances of failures. larger values identifies more significant setup but leads to more Risk on play.
Step 4: set the Entry level for FCT & Set the SL for Both FCT & C&H and Target Reward ratio for C&H.
█ Features of Indicator & How it works:
1. Patterns are being identified using Pivot Points method.
2. Tracks & validates both the setups simultaneously on every candle and traded one at a time based on FIFO, New setups found in-between, Defined Entry Levels while on wait for the other pattern to get activated.
3. Alerts added for trade events.
4. FCT setups are generally traded with trailed SL level and increasing Target level on every completed bar. while C&H has the standard SL & TP level with no Trail SL option.
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for our documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. I am not responsible for any losses you may incur. Please invest wisely.
Happy to receive suggestions and feedback in order to improve the performance of the indicator better.
Universal Trend+ [BackQuant]Universal Trend+
This indicator blends several well-known technical ideas into a single composite trend and momentum model. It can be show primarily as an overlay or a oscillator:
In which it produces two things:
a composite oscillator that summarizes multiple signals into one normalized score
a regime signal rendered on the chart as a colored ribbon with optional 𝕃 and 𝕊 markers
The goal is to simplify decision-making by having multiple, diverse measurements vote in a consistent framework, rather than relying on any single indicator in isolation.
What it does
Computes five independent components, each reading a different aspect of price behavior
Converts each component into a standardized bullish / neutral / bearish vote
Averages the available votes to a composite score
Compares that score to user thresholds to label the environment bullish, neutral, or bearish
Colors a fast/slow moving-average ribbon by the current regime, optionally paints candles, and can plot the composite oscillator in a lower pane
The five components (conceptual)
1)RSI Momentum Bias
A classic momentum gauge on a selectable source and lookback. The component emphasizes whether conditions are persistently strong or weak and applies a neutral buffer to avoid reacting to trivial moves. Output is expressed as a vote: bullish, neutral, or bearish.
2) Rate-of-Change Impulse
A smoothed rate-of-change that focuses on short bursts in acceleration. It is used to detect impulsive pushes rather than slow drift. Extreme readings cast a directional vote, mid-range readings abstain.
3) EMA Oscillator
A slope-style trend gauge formed by contrasting a fast and a slow EMA on a chosen source, normalized so that the sign and relative magnitude matter more than absolute price. A small dead-zone reduces whipsaws.
4) T3-Based Normalized Oscillator
A T3 smoother is transformed into a bounded oscillator via rolling normalization, then optionally smoothed by a user-selectable MA. This highlights directional drift while keeping scale consistent across symbols and regimes.
5) DEMA + ATR Bands State
A double-EMA core is wrapped in adaptive ATR bands to create a stepping state that reacts when pressure exceeds a volatility envelope. The component contributes an event-style vote on meaningful shifts.
Each component is designed to measure something different: trend slope, momentum impulse, normalized drift, and volatility-aware pressure. Their diversity is the point.
Composite scoring model
Standardization: Each component is mapped to -1 (bearish), 0 (neutral), or +1 (bullish) using bands and guards to cut noise.
Aggregation: The composite score is the average of the available votes. If a component is inactive on a bar, the composite uses the votes that are present.
Decision layer: Two user thresholds define your action bands.
Above the upper band → bullish regime
Below the lower band → bearish regime
Between the bands → neutral
This separation between measurement, aggregation, and decision avoids over-fitting any single threshold and makes the tool adaptable across assets and timeframes.
Plots and UI
Composite oscillator (optional lower pane): A normalized line that trends between bearish and bullish zones with user thresholds drawn for context.
Signal ribbon (on price): A fast/slow MA pair tinted by the current regime to give an at-a-glance market state.
Markers: Optional 𝕃 and 𝕊 labels when the regime flips.
Candle painting and background tint: Optional visual reinforcement of state.
Color and style controls: User inputs for long/short colors, threshold line color, and visibility toggles.
How it can be used
1) Regime filter
Use the composite regime to define bias. Trade only long in a bullish regime, only short in a bearish regime, and stand aside or scale down in neutral. This simple filter often reduces whipsaw.
2) Confirmation layer
Keep your entry method the same (breaks, pullbacks, liquidity sweeps, order-flow cues) but require agreement from the composite regime or a fresh flip in the 𝕃/𝕊 markers.
3) Momentum breakouts
Look for the composite oscillator to leave neutrality while the EMA oscillator is already positive and the ATR-band state has flipped. Confluence across components is the intent.
4) Pullback entries within trend
In a bullish regime, consider entries on shallow composite dips that recover before breaching the lower band. Reverse the logic in a bearish regime.
5) Exits and risk
Common choices are:
reduce on a return to neutral,
exit on an opposite regime flip, or
trail behind your own stop model (ATR, structure, session levels) while using the ribbon for context.
6) Multi-timeframe workflow
Select a higher timeframe for bias with this indicator, and time executions on a lower timeframe. The indicator itself stays on a single chart; you can load a second chart or pane if you prefer a strict top-down process.
Strengths
Diversified evidence: Five independent perspectives keep the model from hinging on one idea.
Noise control: Neutral buffers and a composite layer reduce reaction to minor wiggles.
Clarity: A single oscillator and a clearly colored ribbon present a complex assessment in a simple form.
Adaptable: Thresholds and lookbacks let you tune for faster or slower markets.
Practical tuning
Thresholds: Wider bands produce fewer regime flips and longer holds. Narrower bands increase sensitivity.
Lookbacks: Shorter lookbacks emphasize recent action; longer lookbacks emphasize stability.
T3 normalization window and volume factor: Increase the window to suppress noise on choppy symbols; tweak the factor to adjust the smoother’s response.
ATR factor for the band state: Raise it to demand more decisive pressure before registering a shift; lower it to respond earlier.
Alerts
Built-in alerts trigger when the regime flips long or short. If you prefer confirmed signals, set your alerts to bar close on your timeframe. Intrabar the composite can move with price; bar-close confirmation stabilizes behavior.
Limitations
Sideways markets: Even with buffers, any trend model can chop in range-bound conditions.
Lag vs sensitivity trade-off: Tighter thresholds react faster but flip more often; wider thresholds are steadier but later.
Asset specificity: Volatility regimes differ. Expect to retune ATR and normalization settings when switching symbols or timeframes.
Final Remarks
Universal Trend+ is meant to act like a disciplined voting committee. Each component contributes a different angle on the same underlying question: is the market pressing up, pressing down, or doing neither with conviction. By standardizing and aggregating those views, you get a single regime read that plays well with many entry styles and risk frameworks, while keeping the heavy math under the hood.
Unfilled ImbalancesUNFILLED IMBALANCES TRACKER - IDENTIFY HIGH-PROBABILITY REVERSAL ZONES
This advanced indicator automatically detects and tracks unfilled price imbalances (Fair Value Gaps/FVGs) between candle bodies, providing traders with crucial levels where price is likely to return.
METHODOLOGY
This indicator employs an approach to imbalance detection that differs from standard FVG indicators:
1. Body-to-Body Gap Detection: Unlike typical FVG indicators that use wicks, this system exclusively tracks gaps between candle bodies, filtering out noise and focusing on the most significant price inefficiencies.
2. Dynamic Partial Fill Tracking: Our unique algorithm continuously monitors and adjusts imbalance zones as they're partially filled, showing exactly how much of each gap remains unfilled in real-time. This feature helps traders identify the strongest remaining levels.
3. Dual Fill Detection Logic: Proprietary fill detection offers two distinct modes - Distal (gap filled when touched) and Through (requires complete price movement through the entire gap), allowing adaptation to different market behaviors.
KEY FEATURES
Real-Time Imbalance Detection
Identifies body-to-body gaps between consecutive candles
Tracks both bullish and bearish imbalances
Automatically removes filled imbalances from the chart
Advanced Fill Detection Modes
Distal Mode: Imbalance considered filled when price touches the near edge
Through Mode: Requires price to completely trade through the gap
Body Fill Option: Requires candle body (not just wick) to enter the gap zone
Partial Fill Visualization
Watch imbalances shrink in real-time as price partially fills them
Visual representation shows exact percentage of gap remaining
Critical for position sizing and risk management
Flexible Display Options
Full Box Mode: Shows complete imbalance zones
Line Mode: Displays only critical edge levels for cleaner charts
Customizable visual parameters (colors, transparency, line thickness)
Smart Extension Features
Auto-extends visual elements to current price bar
Optional extension into future (0-500 bars)
Statistics table showing active imbalances count and fill rates
TRADING METHODOLOGY
Unfilled imbalances represent areas where price moved too quickly, leaving behind inefficiencies that markets tend to revisit. This indicator helps identify:
High-probability entry zones for trend continuation trades
Logical take profit targets at unfilled gaps
Stop loss placement beyond strong imbalance zones
Market structure breaks when key imbalances are filled
Supply and demand zone identification
HOW TO USE
Apply the indicator to any timeframe (works best on 15m and above)
Configure fill detection mode based on your trading style
Watch for price approaching unfilled imbalance zones
Use partial fill information to gauge zone strength
Combine with your existing strategy for confirmation
TARGET AUDIENCE & BEST PRACTICES
This tool is designed for traders who understand price action and market structure. It works best on:
Liquid instruments with consistent volume
Trending markets where imbalances are more likely to be revisited
Higher timeframes for more reliable signals
LIMITATIONS & CONSIDERATIONS
Imbalances may not always be filled, especially in strong trending markets
Performance varies across different market conditions and instruments
Should be used in conjunction with other analysis methods, not as a standalone system
Gap detection is based on candle closes and may miss intrabar movements
Historical imbalances from many bars ago may lose relevance
SETTINGS EXPLANATION
The indicator includes multiple customization options:
Require Body Fill: Controls whether wicks or bodies must enter gaps
Fill Detection Mode: Choose between Distal or Through modes
Visual Display: Select between boxes or lines
Alert Configuration: Set minimum age before fill alerts trigger
Debug Mode: Learn how the algorithm works with visual feedback
This indicator represents months of research into price inefficiency patterns and provides a systematic approach to identifying and tracking these critical market levels.
Note: Works on all timeframes and markets. Best results on liquid instruments with consistent volume patterns.
Muzyorae - ICT Quarter Cycle (Once)ICT Quarterly Theory — 06:00 to 12:00 (NY) Micro-Quarters
This tool focuses on the 06:00–12:00 New York time window and subdivides it into four equal “micro-quarters,” each 90 minutes long. In many ICT layouts this block is treated as a single higher-level quarter; here we break it into a finer structure to help you frame intraday narratives, liquidity runs, and session shifts with consistent time anchors.
How it’s partitioned
q1: 06:00 → 07:30 (NY)
q2: 07:30 → 09:00 (NY)
q3: 09:00 → 10:30 (NY)
q4: 10:30 → 12:00 (NY)
Each boundary is plotted at the exact start time, so you can see where one 90-minute cycle ends and the next begins. Labels can be placed above or below price, and colors/styles are configurable to match your chart.
Why it’s useful
Provides fixed time scaffolding for building AM session bias, execution windows, and narrative transitions.
Helps distinguish pre-cash open, cash open, and late-AM distribution/accumulation phases without guessing.
Standardizes replay and journaling: the same 90-minute checkpoints every day.
Key features
NY-time anchored (handles DST automatically through TradingView’s exchange time).
Four precise 90-minute segments inside the 06:00–12:00 block.
Customizable line styles, colors, and label placement (above/below).
Optional visibility controls to keep charts clean.
Note: Some ICT mappings name the 06:00–12:00 block differently (e.g., Q2 vs. Q3). This indicator uses the same time bounds regardless of the label you prefer; you can rename the macro label in settings if desired.
Disclaimer: Time framing does not guarantee outcomes. Use alongside your own analysis, risk management, and execution plan.
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.
Market Roadmap by Jeffrey TurnmierJeffrey Turnmier offered his Market Roadmap in Trading View for free on a YouTube video. I copied it and worked on it for Version 6. I use it to determine if a security is above or below the indicator. I added several other indicators that produce buy and sell signals. I am mostly a swing trader.
MA Cross with TP/SL by GMETrade on cross when trading in same direction. use daily on session open for best sucess. use volume, macd for accurate entries along side this stratergy. mark highs and lows of previous sessions. if signals are close to support or resistance lines they are viewed as more valid
Uber Trend Akkam [UTS]This is an improvement on the well-known Trend Akkam indicator. It is a more specific trading tool focused on assessing both market trends and volatility to pinpoint optimal entry and exit points. This makes it a unique indicator that works differently than other indicators in that niche, such as the SuperTrend indicator.
How It Works
Uber Trend Akkam uses the open price and ATR to create a directional line that trails price and flips only when structure changes:
• In an uptrend ➜ the line stays below price
• In a downtrend ➜ the line stays above price
• When price closes across the line ➜ the trend is considered flipped
• The line auto-adjusts based on market volatility
Settings
• ATR Range — Period for calculating market volatility
• ATR Factor — Multiplier that determines trailing distance
• ATR Smoothing - Op [tional smoothing for the ATR
Alerts
Uber Trend Akkam supports the following alert conditions for integration into your trading workflow:
• "Long Signal": Trend Flip to Bullish
• "Short Signal": Trend Flip to Bearish
You can create alerts using these conditions via the “Add Alert” dialog on TradingView, selecting the appropriate signal from the script’s built-in options.
Goldbach Time IndicatorA simple, time-only study that highlights “Goldbach minutes”—bars where any of three time transforms hit a curated integer set. It’s designed for timing research, session rhythm analysis, and building time-of-day confluence with your own strategy.
What it shows
Three time transforms (per bar, using your UTC offset):
Minute (Raw) → the current minute mm (yellow)
Min+Hr → mm + hh with a smart 60→00 rule & capped to 77 (lime)
Min−Hr → mm − hh (only if ≥ 0) (orange)
A minute is flagged when a transform equals a value in the script’s Goldbach set:
0, 3, 7, 11, 14, 17, 23, 29, 35, 41, 44, 47, 50, 53, 56, 59, 65, 71, 77
Background tint whenever there is ≥1 hit on the bar.
Goldbach Count histogram (0–3) showing how many of the three transforms hit.
Reference lines at common values (0, 11, 23, 35, 47, 59).
Live info table (bottom-right): current time (with offset), each transform’s value, and hit status.
Optional crosshair pane label showing time and “Goldbach: YES/NO”.
“00” guardrails (fewer false pings)
Zeros are plotted only when they’re time-valid:
1- Full hour: raw minute is 00
2- Equal pair: mm == hh > 0 so mm−hh = 0
3- Sum=60: mm + hh == 60 so Min+Hr becomes 00
Inputs
UTC Offset (−12…+14): shifts the evaluation clock.
Show Pane Label: on-chart crosshair label (optional).
Show All Plot Lines: plot everything (incl. tiny values 0–3) or, when OFF, show only “meaningful” hits (≥4) plus the strictly-validated 00 cases.
How to use it
Add as a separate pane (overlay=false).
Choose your UTC offset so the indicator matches your session clock.
Look for clusters (Goldbach Count 2–3) and compare with your own trade triggers, session opens, or news windows.
Treat this as timing confluence, not a buy/sell signal.
Notes
Purely time-derived (no price inputs). It doesn’t look ahead; values can update on the live bar as time advances.
The Min+Hr track can exceed 59; it’s capped at 77 to fit the set.
No alerts are included by design; pair it with your strategy’s alerts if needed.
Short description:
Highlights bars where mm, mm+hh, or mm−hh land in a curated “Goldbach” set, with strict 00 rules, UTC offset, count histogram, and a live info table—useful for time-of-day confluence research.
FVG + Killzones + ATREnglish Description
FVG + Killzone + ATR (3 Killzones, UTC Offset)
This indicator combines Fair Value Gap (FVG) detection, ATR-based volatility filtering, and customizable killzones for optimal trading opportunities on lower timeframes (15m–1H).
Features:
• Three standard killzones: London (08:00–11:00), New York AM (14:30–17:00), New York PM (19:00–22:00)
• Fully customizable killzones: start/end hours and minutes, enable/disable each zone
• Global UTC offset: adjust all killzones to your local time (default +1 = Germany)
• ATR Filter: ensures signals only trigger during sufficient market volatility
• FVG Detection: highlights bullish and bearish FVGs directly on the chart
• Aggressive or Conservative alerts: trigger alerts at the start of the 4th candle (aggressive) or at close of 4th candle (conservative)
• Colored candle visualization: highlights FVGs clearly on the chart for easy spotting
Usage:
• Ideal for trading during active market sessions within killzones
• Combine with your own strategy for entry/exit and stop-loss planning
• Works on 15-minute and 1-hour charts; compatible with any UTC offset
DWM*OHLC Levels*Plots the previous Day, Week, and Month OHLC levels on any chart timeframe. Levels are locked for the entire current period (day/week/month) and update only when a new period begins—so they won’t shift when you zoom or load more history.
DTC Intra+DTC Intra+
Complete Indian Intraday Trading Indicator
What This Indicator Does:
DTC Intra+ is a comprehensive intraday trading indicator designed specifically for Indian markets. It provides real-time session analysis, volume profiling, and technical insights that work consistently across all timeframes.
Key Features:
Multi-Timeframe Data Consistency
Solves the common problem where indicators show different values on different timeframes
Gap percentage, ADR (Average Daily Range), and Burst values remain consistent whether viewing 1-minute or daily charts
Uses proprietary algorithms to fetch daily data and apply it accurately to intraday calculations
Intelligent Session Detection
Automatically detects and displays three Indian market sessions: Morning (9:15-11:00 AM), Mid-Day (11:00-1:30 PM), Afternoon (1:30-3:30 PM)
Creates visual session boxes that extend dynamically and finalize at session boundaries
Each session maintains distinct colors and labels for easy identification
Advanced Volume Analysis
Calculates Relative Volume (RVol) using 21-period moving average for volume strength assessment
Colors candles based on volume strength: high/moderate bullish and bearish volume patterns
Customizable volume thresholds (150% and 200% of average volume) for precise signal generation
Pattern Recognition System
Identifies mini-coil consolidation patterns with customizable styling options
Maintains visual persistence across timeframes and chart updates
Configurable lookback periods and pattern validation algorithms
Technical Analysis Tools
Four customizable Moving Averages (10, 20, 50, 200) with multiple calculation types (SMA, EMA, WMA, HMA)
VWAP integration with theme-adaptive styling
Gap analysis with customizable thresholds (1% and 2%+) and visual alerts
Theme-Adaptive Interface
Automatically detects and adapts to dark or light chart themes
Professional color schemes optimized for both theme types
Customizable transparency and styling for all visual elements
Information Dashboard
Dynamic information table displaying Gap %, RVol, ADR, Burst, Sector, Industry, Theme, and Session data
Real-time sector and industry classification from TradingView data
Burst Ranker with descriptive labels (GREAT, GOOD, LOW) based on historical performance analysis
How It Works:
Session Management:
The indicator uses time-based detection algorithms to identify Indian market sessions, creating visual boxes that extend dynamically and finalize at session boundaries. Each session maintains its own color scheme and label system.
Data Consistency Engine:
Proprietary cross-timeframe calculation system ensures that daily metrics display consistently across all timeframes by fetching daily data and applying it to intraday calculations.
Volume Profiling:
Custom volume analysis algorithms calculate relative volume strength and apply color coding to candles based on volume thresholds and price direction, providing immediate visual feedback on market activity.
Pattern Detection:
Advanced consolidation pattern recognition system that identifies mini-coil formations using customizable parameters and maintains visual persistence across chart updates.
How To Use:
Apply to any Indian stock chart (BSE, NSDL) on intraday timeframes
Session times are pre-configured for Indian markets but can be customized
Moving Averages can be adjusted to your preferred lengths and calculation types
Volume thresholds can be modified based on your trading strategy
Monitor the information panel for real-time market insights
Use session boxes to identify optimal trading windows
Who This Is For:
Indian intraday traders seeking comprehensive market analysis
Traders who need consistent data across multiple timeframes
Volume-based traders requiring real-time volume strength analysis
Technical analysts needing session-based market structure insights
Busy professionals who want market insights without constant chart monitoring
What Makes It Unique:
Unlike basic session indicators, DTC Intra+ provides cross-timeframe data consistency, advanced volume profiling, and comprehensive Indian market analysis in a single, theme-adaptive interface. The proprietary algorithms ensure accurate daily metrics on intraday charts, making it essential for serious Indian market traders who need reliable, consistent data across all timeframes.
The Bottom Line:
This indicator transforms how you view Indian intraday markets by providing consistent, reliable data across all timeframes while offering advanced session analysis, volume profiling, and pattern recognition. It's designed specifically for Indian market characteristics and trading patterns, giving you the tools to trade with confidence and precision.
VWMA-KNN Supertrend Nifty 50VWMA-KNN Supertrend
The strategy essentially bridges traditional technical analysis with modern data science techniques, making it a hybrid quantitative approach to market timing and trend identification. combining traditional technical indicators with predictive algorithms.
Why This Specific Combination?
Complementary Strengths:
1. VWMA → Filters noise, focuses on significant moves
2. Supertrend → Provides clear trend framework and stop-loss levels
3. KNN → Adds predictive intelligence and pattern recognition
4. Volume → Ensures all signals are backed by real market participation
Problem-Solution Mapping:
• Problem: Traditional Supertrend has lag and false signals
• Solution: VWMA reduces noise, KNN anticipates changes
• Problem: Pure ML can be unstable and overfitted
• Solution: Supertrend provides robust trend framework
• Problem: Many indicators ignore volume
• Solution: VWMA integration throughout
Synergistic Effects:
• Volume validation + Trend following + Pattern recognition = More reliable signals
• Each component covers weaknesses of the others
• Creates a multi-dimensional view: price, volume, volatility, and historical patterns
This combination attempts to create a "smart trend follower" that learns from history while staying grounded in proven technical analysis principles.
Trading Logic Flow
1. Enter initial positions based on signals
2. Monitor trend - force exit opposing positions if trend changes
3. If position moves against you by 120 points AND trend is still favorable, double down
4. Exit when profit targets are hit (targets decrease with position size)
5. Reset all tracking variables on exit
This strategy attempts to profit from mean reversion while respecting the overall trend direction, using martingale sizing to potentially recover from initial losses.
Support & Resistance [Algionics]This indicator automatically detects key Support and Resistance levels using pivot-based logic.
Displays only the most relevant SR levels within a customizable range of the current price.
Merges nearby SR points into zones for cleaner visualization.
Labels each SR line with price, distance from current price (%), and reliability level (Observed / Tested / Proven / Confirmed).
Highlights breakout, breakdown, and retest signals with on-chart labels.
Optimized for clarity with adjustable sensitivity, maximum levels, and historical line length.
A powerful tool for identifying market structure and potential reaction zones in real-time.
Integrated Institutional with Signals📘 Integrated Institutional with Signals
🔹 Overview
This indicator is designed as an institutional-grade decision engine, combining MACD, ADX, and RSI into a weighted scoring system to generate high-confidence trading signals.
It not only shows BUY/SELL arrows and labels on the chart but also provides a professional-grade analysis table with confidence levels, regime detection, risk grading, and divergence detection.
The script is suitable for swing traders, positional traders, and intraday traders who need structured, reliable, and multi-factor confirmation before executing trades.
🔹 Key Features
✅ Multi-factor Scoring Engine – MACD, ADX, and RSI combined dynamically
✅ Market Regime Detection – TRENDING vs RANGING + Volatility state
✅ Institutional Confidence Scoring (0–100 scale, with letter grades A+ to D)
✅ Dynamic Indicator Weighting depending on regime and volatility
✅ Signal Filtering – Bullish only, Bearish only, or High Confidence only
✅ Trade Labels & Arrows with grades and entry prices
✅ Bias Background – subtle green/red highlighting of bullish/bearish bias
✅ Professional Tables:
RSI Divergence Table (Bullish/Bearish/Neutral)
Full Institutional Analysis Table with MACD, ADX, RSI, Risk, Regime, and Confidence breakdown
✅ Professional Alerts with ticker, price, ADX strength, divergence info
🔹 How to Use
Add the indicator to your chart.
Open the settings panel and configure:
Signal Confidence Threshold (default 65%)
ADX & MACD parameters
Dynamic Weighting for MACD, ADX, RSI
Signal Filter → All / Bullish only / Bearish only / High Confidence only
Display Options → Tables, Arrows, Labels, Background Bias
Watch for:
BUY/SELL labels on candles with grade + price + confidence
Arrows for quick visualization
Analysis Table for detailed institutional-style breakdown
Alerts for automated notifications
🔹 Table Layout Explanation
📊 RSI Divergence Table
Column Meaning
RSI Indicator being analyzed
STATUS Bullish Divergence / Bearish Divergence / No Divergence
SIGNAL Suggested Action (Buy/Sell/Neutral)
📊 Institutional Analysis Table
Section Details
SIGNAL Final institutional decision (Bullish/Bearish + Grade)
CONF% Risk-adjusted confidence level
POSITION SIZE Suggested sizing (NONE / ¼ / HALF / FULL)
REGIME Market state (TRENDING / RANGING)
VOLATILITY HIGH_VOL / LOW_VOL
MACD / ADX / RSI Direction, confidence % and dynamic weight
RISK Low/Medium/High + Risk Grade (A+ to D)
FOOTER Timestamp + Script version
🔹 Signal Grades
A+ / A → High conviction signals, suitable for larger positions
B+ / B → Medium conviction signals, partial positions suggested
C / D → Weak signals, avoid or use minimal exposure
🔹 Example Use Cases
Filter trades to only take institutional-grade signals.
Confirm signals across multiple indicators before execution.
Use confidence scores and risk grades for position sizing.
Automate alerts for high-conviction Buy/Sell setups.
🔹 Limitations
This indicator does not place trades; it is an analysis tool.
Works best when combined with your own risk management.
Market data depends on TradingView feeds.
🔹 Disclaimer
This script is provided for educational and informational purposes only.
It is not financial advice. Always do your own research and use proper risk management before trading.
Support and Resistance levels from Options DataINTRODUCTION
This script is designed to visualize key support and resistance levels derived from options data on TradingView charts. It overlays lines, labels, and boxes to highlight levels such as Put Walls (gamma support), Call Walls (gamma resistance), Gamma Flip points, Vanna levels, and more.
These levels are intended to help traders identify potential areas of price magnetism, reversal, or breakout based on options market dynamics. All calculations and visualizations are based on user-provided data pasted into the input field, as Pine Script cannot directly fetch external options data due to platform limitations (explained below).
For convenience, my website allows users to interact with a bot that will generate the string for up to 30 tickers at once getting nearly real-time data on demand (data is cached for 15min). With the output string pasted into this indicator, it's a bliss to shuffle through your portfolio and see those levels for each ticker.
The script is open-source under TradingView's terms, allowing users to study, modify, and improve it. It draws inspiration from common options-derived metrics like gamma exposure and vanna, which are widely discussed in financial literature. No external code is copied without rights; all logic is original or based on standard mathematical formulas.
How the Options Levels Are Calculated
The levels displayed by this script are not computed within Pine Script itself—instead, they rely on pre-calculated values provided by the user (via a pasted data string). These values are derived from options chain data fetched from financial APIs (e.g., using libraries like yfinance in Python). Here's a step-by-step overview of how these levels are generally calculated externally before being input into the script:
Fetching Options Data:
Historical and current options chain data for a ticker (e.g., strikes, open interest, volume, implied volatility, expirations) is retrieved for near-term expirations (e.g., up to 90 days).
Current stock price is obtained from recent history.
Gamma Support (Put Wall) and Resistance (Call Wall):
Gamma Calculation: For each option, gamma (the rate of change of delta) is computed using the Black-Scholes formula:
gamma = N'(d1) / (S * sigma * sqrt(T))
where S is the stock price, K is the strike, T is time to expiration (in years), sigma is implied volatility, r is the risk-free rate (e.g., 0.0445), and N'(d1) is the normal probability density function.
Weighted gamma is multiplied by open interest and aggregated by strike.
The Put Wall is the strike below the current price with the highest weighted gamma from puts (acting as support).
The Call Wall is the strike above the current price with the highest weighted gamma from calls (acting as resistance).
Short-term versions focus on strikes closer to the money (e.g., within 10-15% of the price).
Gamma Flip Level:
Net dealer gamma exposure (GEX) is calculated across all strikes:
GEX = sum (gamma * OI * 100 * S^2 * sign * decay)
where sign is +1 for calls/-1 for puts, and decay is 1 / sqrt(T).
The flip point is the price where net GEX changes sign (from positive to negative or vice versa), interpolated between strikes.
Vanna Levels:
Vanna (sensitivity of delta to volatility) is calculated:
vanna = -N'(d1) * d2 / sigma
where d2 = d1 - sigma * sqrt(T).
Weighted by open interest, the highest positive and negative vanna strikes are identified.
Other Levels:
S1/R1: Significant strikes with high combined open interest and volume (80% OI + 20% volume), below/above price for support/resistance.
Implied Move: ATM implied volatility scaled by S * sigma * sqrt(d/365) (e.g., for 7 days).
Call/Put Ratio: Total call contracts divided by put contracts (OI + volume).
IV Percentage: Average ATM implied volatility.
Options Activity Level: Average contracts per unique strike, binned into levels (0-4).
Stop Loss: Dynamically set below the lowest support (e.g., Put Wall, Gamma Flip), adjusted by IV (tighter in low IV).
Fib Target: 1.618 extension from Put Wall to Call Wall range.
Previous day levels are stored for comparison (e.g., to detect Call Wall movement >2.5% for alerts).
Effect as Support and Resistance in Technical Trading
Options levels like gamma walls influence price action due to market maker hedging:
Put Wall (Gamma Support): High put gamma below price creates a "magnet" effect—market makers buy stock as price falls, providing support. Traders might look for bounces here as entry points for longs.
Call Wall (Gamma Resistance): High call gamma above price leads to selling pressure from hedging, acting as resistance. Rejections here could signal trims, sells or even shorts.
Gamma Flip: Where gamma exposure flips sign, often a volatility pivot—crossing it can accelerate moves (bullish above, bearish below).
Vanna Levels: Positive/negative vanna indicate volatility sensitivity; crosses may signal regime shifts.
Implied Move: Shows expected range; prices outside suggest overextension.
S1/R1 and Fib Target: Volume/OI clusters act as classic S/R; Fib extensions project upside targets post-breakout.
In trading, these are not guarantees—combine with TA (e.g., volume, trends). High activity levels imply stronger effects; low CP ratio suggests bearish sentiment. Alerts trigger on proximities/crosses for awareness, not advice.
Limitations of the TradingView Platform for Data Pulling
TradingView's Pine Script is sandboxed for security and performance:
No direct internet access or API calls (e.g., can't fetch yfinance data in-script).
Limited to chart data/symbol info; no real-time options chains.
Inputs are static per load; updates require manual pasting.
Caching isn't persistent across sessions.
This prevents dynamic data pulling, ensuring scripts remain lightweight but requiring external tools for fresh data.
Creative Solution for On-Demand Data Pulling
To overcome these limitations, users can use external tools or scripts (e.g., Python-based) to fetch and compute levels on demand. The tool processes tickers, generates a formatted string (e.g., "TICKER:level1,level2,...;TIMESTAMP:unix;"), and users paste it into the script's input. This keeps data fresh without violating platform rules, as computation happens off-platform. For example, run a local script to query APIs and output the string—adaptable for any ticker.
Script Functionality Breakdown
Inputs: Custom data string (parsed for levels/timestamp); toggles for short-term/previous/Vanna/stop loss; style options (colors, transparency).
Parsing: Extracts levels for the chart symbol; gets timestamp for "updated ago" display.
Drawing: Lines/labels for levels; boxes for gamma zones/implied move; clears old elements on updates.
Info Panel: Top-right summary with metrics (CP ratio, IV, distances, activity); emojis for quick status.
Alerts: Conditions for proximities, crosses, bounces (e.g., 0.5% bounce from Put Wall).
Performance: Uses vars for persistence; efficient for real-time.
This script is educational—test thoroughly. Not financial advice; past performance isn't indicative of future results. Feedback welcome via TradingView comments.
BoomBros LevelsCharts
-Key Support and Resistance levels.
-Short, intermediate and long term structures points
CP Double CrossCakeProfits Double Moving Average Signals
This indicator is a refined double Special Moving Average system with integrated trend confirmation, cooldown suppression, alerts, and visual feedback.
🔹 Core Features
Double Special Moving Averages (Fast & Slow) to identify precise crossovers.
Trend EMA filter (default 800 EMA) to align signals with higher-timeframe trend.
Signal Suppression / Cooldown to avoid back-to-back false signals (user-defined bars).
Long & Sort Labels plotted directly on the chart (Long = Go long, Short = Go Short).
Alerts ready for both bullish and bearish crossover confirmations.
Background Visuals (Toggle) – highlights active cooldown zones with soft green/red shades, easily switched ON/OFF.
🔹 How It Works
A Bullish Signal (Long) fires when the Fast MA crosses above the Slow MA, slope is confirmed, and price is above the trend EMA.
A Bearish Signal (Short) fires when the fast MA crosses below the slow MA, slope is confirmed, and price is below the trend EMA.
After a signal, the indicator enters a cooldown period (number of bars set by the user) where no new signals can appear, helping to reduce noise.
During cooldown, the chart background can be shaded (green for bullish, red for bearish) for quick visual confirmation.
🔹 Inputs
MA Lengths (Slow & Fast)
Trend EMA Length & Source
Bars to Suppress Signals (cooldown)
Background Toggle & Colors
✅ Best used as a confirmation tool for entries/exits alongside broader strategy and risk management.
⚠️ Disclaimer: This script is for educational purposes only and not financial advice.
Draw Trend LinesSometimes the simplest indicators help traders make better decisions. This indicator draws simple trend lines, the same lines you would draw manually.
To trade with an edge, traders need to interpret the recent price action, whether it's noisy or choppy, or it's trending. Trend Lines will help traders with that interpretation.
The lines drawn are:
1. lower tops
2. higher bottoms
Because trends are defined as higher lows, or lower highs.
When you see "Wedges", formed by prices chopping between top and bottom trend lines, that's noisy environment not to be traded. When you learn to "stop yourself", you already have an edge.
Often when you see a trend, it's still not too late. Trend will continue until it doesn't. But the caveat is a very steep trend is unlikely to continue, because buying volume is extremely unbalanced to cause the steep trend, and that volume will run out of energy. (Same on the sell side of course)
Trends can reverse, and when price action breaks the trend line, Breakout/Breakdown traders can take this as an entry signal.
Enjoy, and good trading!
